2025-11-08 18:16:41.313512: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2025-11-08 18:16:41.325128: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
E0000 00:00:1762622201.339174 1361440 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762622201.343546 1361440 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762622201.354125 1361440 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762622201.354146 1361440 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762622201.354149 1361440 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762622201.354150 1361440 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-08 18:16:41.357289: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
/home/simur/git/uniovi-simur-wearablepermed-ml/.venv/lib/python3.12/site-packages/ray/tune/impl/tuner_internal.py:144: RayDeprecationWarning: The `RunConfig` class should be imported from `ray.tune` when passing it to the Tuner. Please update your imports. See this issue for more context and migration options: https://github.com/ray-project/ray/issues/49454. Disable these warnings by setting the environment variable: RAY_TRAIN_ENABLE_V2_MIGRATION_WARNINGS=0
  _log_deprecation_warning(
2025-11-08 18:16:45,600	INFO worker.py:1927 -- Started a local Ray instance.
2025-11-08 18:16:46,328	INFO tune.py:253 -- Initializing Ray automatically. For cluster usage or custom Ray initialization, call `ray.init(...)` before `Tuner(...)`.
2025-11-08 18:16:46,397	INFO trial.py:182 -- Creating a new dirname dir_b4529_792d because trial dirname 'dir_b4529' already exists.
2025-11-08 18:16:46,400	INFO trial.py:182 -- Creating a new dirname dir_b4529_64ac because trial dirname 'dir_b4529' already exists.
2025-11-08 18:16:46,402	INFO trial.py:182 -- Creating a new dirname dir_b4529_8109 because trial dirname 'dir_b4529' already exists.
2025-11-08 18:16:46,404	INFO trial.py:182 -- Creating a new dirname dir_b4529_2e71 because trial dirname 'dir_b4529' already exists.
2025-11-08 18:16:46,407	INFO trial.py:182 -- Creating a new dirname dir_b4529_3537 because trial dirname 'dir_b4529' already exists.
2025-11-08 18:16:46,410	INFO trial.py:182 -- Creating a new dirname dir_b4529_04a2 because trial dirname 'dir_b4529' already exists.
2025-11-08 18:16:46,412	INFO trial.py:182 -- Creating a new dirname dir_b4529_d663 because trial dirname 'dir_b4529' already exists.
2025-11-08 18:16:46,415	INFO trial.py:182 -- Creating a new dirname dir_b4529_b982 because trial dirname 'dir_b4529' already exists.
2025-11-08 18:16:46,417	INFO trial.py:182 -- Creating a new dirname dir_b4529_448c because trial dirname 'dir_b4529' already exists.
2025-11-08 18:16:46,422	INFO trial.py:182 -- Creating a new dirname dir_b4529_c0d7 because trial dirname 'dir_b4529' already exists.
2025-11-08 18:16:46,425	INFO trial.py:182 -- Creating a new dirname dir_b4529_1f28 because trial dirname 'dir_b4529' already exists.
2025-11-08 18:16:46,428	INFO trial.py:182 -- Creating a new dirname dir_b4529_cd69 because trial dirname 'dir_b4529' already exists.
2025-11-08 18:16:46,431	INFO trial.py:182 -- Creating a new dirname dir_b4529_f023 because trial dirname 'dir_b4529' already exists.
2025-11-08 18:16:46,435	INFO trial.py:182 -- Creating a new dirname dir_b4529_08fb because trial dirname 'dir_b4529' already exists.
2025-11-08 18:16:46,438	INFO trial.py:182 -- Creating a new dirname dir_b4529_1c93 because trial dirname 'dir_b4529' already exists.
2025-11-08 18:16:46,441	INFO trial.py:182 -- Creating a new dirname dir_b4529_0752 because trial dirname 'dir_b4529' already exists.
2025-11-08 18:16:46,450	INFO trial.py:182 -- Creating a new dirname dir_b4529_6145 because trial dirname 'dir_b4529' already exists.
2025-11-08 18:16:46,454	INFO trial.py:182 -- Creating a new dirname dir_b4529_1526 because trial dirname 'dir_b4529' already exists.
2025-11-08 18:16:46,463	INFO trial.py:182 -- Creating a new dirname dir_b4529_fd88 because trial dirname 'dir_b4529' already exists.
1 GPU(s) detected and VRAM set to crossover mode..
Se lanza la búsqueda de hiperparámetros óptimos del modelo
╭─────────────────────────────────────────────────────────────────────╮
│ Configuration for experiment     CAPTURE24_hyperparameters_tuning   │
├─────────────────────────────────────────────────────────────────────┤
│ Search algorithm                 BasicVariantGenerator              │
│ Scheduler                        FIFOScheduler                      │
│ Number of trials                 20                                 │
╰─────────────────────────────────────────────────────────────────────╯

View detailed results here: /mnt/nvme1n2/git/uniovi-simur-wearablepermed-data/output/Paper_results/cases_dataset_PI/case_PI_CAPTURE24_acc_gyr_17_classes/CAPTURE24_hyperparameters_tuning
To visualize your results with TensorBoard, run: `tensorboard --logdir /tmp/ray/session_2025-11-08_18-16-43_870342_1361440/artifacts/2025-11-08_18-16-46/CAPTURE24_hyperparameters_tuning/driver_artifacts`

Trial status: 20 PENDING
Current time: 2025-11-08 18:16:46. Total running time: 0s
Logical resource usage: 16.0/20 CPUs, 0/1 GPUs (0.0/1.0 accelerator_type:G)
╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name     status       N_capas   optimizador     funcion_activacion       tamanho_minilote     numero_filtros     tamanho_filtro     num_resblocks     tasa_aprendizaje     epochs │
├─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ trial_b4529    PENDING            2   adam            tanh                                   16                 96                  5                 1          0.00438546          17 │
│ trial_b4529    PENDING            3   rmsprop         tanh                                   16                 64                  5                 1          0.00499828          23 │
│ trial_b4529    PENDING            3   rmsprop         relu                                   32                 32                  5                 1          0.000492984         27 │
│ trial_b4529    PENDING            2   rmsprop         tanh                                   32                 64                  5                 0          0.00159181          26 │
│ trial_b4529    PENDING            3   adam            tanh                                   32                 32                  3                 0          3.58603e-05         27 │
│ trial_b4529    PENDING            2   adam            tanh                                   16                 32                  3                 0          0.00499085          23 │
│ trial_b4529    PENDING            2   rmsprop         tanh                                   16                 64                  5                 1          0.00024729          19 │
│ trial_b4529    PENDING            3   rmsprop         tanh                                   16                 96                  5                 0          0.000114875         22 │
│ trial_b4529    PENDING            3   rmsprop         tanh                                   32                 32                  3                 0          0.000134897         21 │
│ trial_b4529    PENDING            3   adam            relu                                   32                 32                  3                 0          0.000235024         27 │
│ trial_b4529    PENDING            3   rmsprop         tanh                                   32                 32                  5                 1          1.79994e-05         28 │
│ trial_b4529    PENDING            3   rmsprop         relu                                   16                 64                  3                 1          4.24056e-05         16 │
│ trial_b4529    PENDING            2   rmsprop         relu                                   32                 96                  5                 1          0.000352068         23 │
│ trial_b4529    PENDING            3   rmsprop         tanh                                   32                 32                  3                 0          1.01166e-05         29 │
│ trial_b4529    PENDING            3   adam            tanh                                   16                 64                  3                 0          0.000419667         20 │
│ trial_b4529    PENDING            3   rmsprop         relu                                   32                 64                  3                 0          0.00199625          25 │
│ trial_b4529    PENDING            3   rmsprop         tanh                                   16                 96                  3                 1          1.51945e-05         28 │
│ trial_b4529    PENDING            2   rmsprop         relu                                   16                 96                  5                 0          0.00195981          26 │
│ trial_b4529    PENDING            3   rmsprop         tanh                                   16                 96                  3                 0          3.04652e-05         25 │
│ trial_b4529    PENDING            3   rmsprop         tanh                                   32                 32                  5                 0          1.67679e-05         25 │
╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯

Trial trial_b4529 started with configuration:
╭──────────────────────────────────────╮
│ Trial trial_b4529 config             │
├──────────────────────────────────────┤
│ N_capas                            3 │
│ epochs                            21 │
│ funcion_activacion              tanh │
│ num_resblocks                      0 │
│ numero_filtros                    32 │
│ optimizador                  rmsprop │
│ tamanho_filtro                     3 │
│ tamanho_minilote                  32 │
│ tasa_aprendizaje             0.00013 │
╰──────────────────────────────────────╯
Trial trial_b4529 started with configuration:
╭──────────────────────────────────────╮
│ Trial trial_b4529 config             │
├──────────────────────────────────────┤
│ N_capas                            3 │
│ epochs                            20 │
│ funcion_activacion              tanh │
│ num_resblocks                      0 │
│ numero_filtros                    64 │
│ optimizador                     adam │
│ tamanho_filtro                     3 │
│ tamanho_minilote                  16 │
│ tasa_aprendizaje             0.00042 │
╰──────────────────────────────────────╯
Trial trial_b4529 started with configuration:
╭──────────────────────────────────────╮
│ Trial trial_b4529 config             │
├──────────────────────────────────────┤
│ N_capas                            3 │
│ epochs                            29 │
│ funcion_activacion              tanh │
│ num_resblocks                      0 │
│ numero_filtros                    32 │
│ optimizador                  rmsprop │
│ tamanho_filtro                     3 │
│ tamanho_minilote                  32 │
│ tasa_aprendizaje             0.00001 │
╰──────────────────────────────────────╯
Trial trial_b4529 started with configuration:
╭──────────────────────────────────────╮
│ Trial trial_b4529 config             │
├──────────────────────────────────────┤
│ N_capas                            3 │
│ epochs                            28 │
│ funcion_activacion              tanh │
│ num_resblocks                      1 │
│ numero_filtros                    32 │
│ optimizador                  rmsprop │
│ tamanho_filtro                     5 │
│ tamanho_minilote                  32 │
│ tasa_aprendizaje             0.00002 │
╰──────────────────────────────────────╯
Trial trial_b4529 started with configuration:
╭──────────────────────────────────────╮
│ Trial trial_b4529 config             │
├──────────────────────────────────────┤
│ N_capas                            2 │
│ epochs                            23 │
│ funcion_activacion              relu │
│ num_resblocks                      1 │
│ numero_filtros                    96 │
│ optimizador                  rmsprop │
│ tamanho_filtro                     5 │
│ tamanho_minilote                  32 │
│ tasa_aprendizaje             0.00035 │
╰──────────────────────────────────────╯
Trial trial_b4529 started with configuration:
╭──────────────────────────────────────╮
│ Trial trial_b4529 config             │
├──────────────────────────────────────┤
│ N_capas                            3 │
│ epochs                            27 │
│ funcion_activacion              tanh │
│ num_resblocks                      0 │
│ numero_filtros                    32 │
│ optimizador                     adam │
│ tamanho_filtro                     3 │
│ tamanho_minilote                  32 │
│ tasa_aprendizaje             0.00004 │
╰──────────────────────────────────────╯
Trial trial_b4529 started with configuration:
╭──────────────────────────────────────╮
│ Trial trial_b4529 config             │
├──────────────────────────────────────┤
│ N_capas                            2 │
│ epochs                            17 │
│ funcion_activacion              tanh │
│ num_resblocks                      1 │
│ numero_filtros                    96 │
│ optimizador                     adam │
│ tamanho_filtro                     5 │
│ tamanho_minilote                  16 │
│ tasa_aprendizaje             0.00439 │
╰──────────────────────────────────────╯
Trial trial_b4529 started with configuration:
╭──────────────────────────────────────╮
│ Trial trial_b4529 config             │
├──────────────────────────────────────┤
│ N_capas                            3 │
│ epochs                            23 │
│ funcion_activacion              tanh │
│ num_resblocks                      1 │
│ numero_filtros                    64 │
│ optimizador                  rmsprop │
│ tamanho_filtro                     5 │
│ tamanho_minilote                  16 │
│ tasa_aprendizaje               0.005 │
╰──────────────────────────────────────╯
Trial trial_b4529 started with configuration:
╭──────────────────────────────────────╮
│ Trial trial_b4529 config             │
├──────────────────────────────────────┤
│ N_capas                            2 │
│ epochs                            23 │
│ funcion_activacion              tanh │
│ num_resblocks                      0 │
│ numero_filtros                    32 │
│ optimizador                     adam │
│ tamanho_filtro                     3 │
│ tamanho_minilote                  16 │
│ tasa_aprendizaje             0.00499 │
╰──────────────────────────────────────╯
Trial trial_b4529 started with configuration:
╭──────────────────────────────────────╮
│ Trial trial_b4529 config             │
├──────────────────────────────────────┤
│ N_capas                            2 │
│ epochs                            26 │
│ funcion_activacion              relu │
│ num_resblocks                      0 │
│ numero_filtros                    96 │
│ optimizador                  rmsprop │
│ tamanho_filtro                     5 │
│ tamanho_minilote                  16 │
│ tasa_aprendizaje             0.00196 │
╰──────────────────────────────────────╯
Trial trial_b4529 started with configuration:
[36m(train_cnn_ray_tune pid=1363106)[0m 2025-11-08 18:16:49.580345: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
[36m(train_cnn_ray_tune pid=1363106)[0m 2025-11-08 18:16:49.603290: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
[36m(train_cnn_ray_tune pid=1363106)[0m WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
[36m(train_cnn_ray_tune pid=1363106)[0m E0000 00:00:1762622209.633147 1364246 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
[36m(train_cnn_ray_tune pid=1363106)[0m E0000 00:00:1762622209.641421 1364246 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
[36m(train_cnn_ray_tune pid=1363106)[0m W0000 00:00:1762622209.661939 1364246 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
[36m(train_cnn_ray_tune pid=1363106)[0m W0000 00:00:1762622209.661984 1364246 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
[36m(train_cnn_ray_tune pid=1363106)[0m W0000 00:00:1762622209.661987 1364246 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
[36m(train_cnn_ray_tune pid=1363106)[0m W0000 00:00:1762622209.661990 1364246 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
[36m(train_cnn_ray_tune pid=1363106)[0m 2025-11-08 18:16:49.668160: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
[36m(train_cnn_ray_tune pid=1363106)[0m To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
╭──────────────────────────────────────╮
│ Trial trial_b4529 config             │
├──────────────────────────────────────┤
│ N_capas                            3 │
│ epochs                            27 │
│ funcion_activacion              relu │
│ num_resblocks                      0 │
│ numero_filtros                    32 │
│ optimizador                     adam │
│ tamanho_filtro                     3 │
│ tamanho_minilote                  32 │
│ tasa_aprendizaje             0.00024 │
╰──────────────────────────────────────╯
Trial trial_b4529 started with configuration:
╭──────────────────────────────────────╮
│ Trial trial_b4529 config             │
├──────────────────────────────────────┤
│ N_capas                            2 │
│ epochs                            19 │
│ funcion_activacion              tanh │
│ num_resblocks                      1 │
│ numero_filtros                    64 │
│ optimizador                  rmsprop │
│ tamanho_filtro                     5 │
│ tamanho_minilote                  16 │
│ tasa_aprendizaje             0.00025 │
╰──────────────────────────────────────╯
Trial trial_b4529 started with configuration:
╭──────────────────────────────────────╮
│ Trial trial_b4529 config             │
├──────────────────────────────────────┤
│ N_capas                            2 │
│ epochs                            26 │
│ funcion_activacion              tanh │
│ num_resblocks                      0 │
│ numero_filtros                    64 │
│ optimizador                  rmsprop │
│ tamanho_filtro                     5 │
│ tamanho_minilote                  32 │
│ tasa_aprendizaje             0.00159 │
╰──────────────────────────────────────╯
Trial trial_b4529 started with configuration:
╭──────────────────────────────────────╮
│ Trial trial_b4529 config             │
├──────────────────────────────────────┤
│ N_capas                            3 │
│ epochs                            27 │
│ funcion_activacion              relu │
│ num_resblocks                      1 │
│ numero_filtros                    32 │
│ optimizador                  rmsprop │
│ tamanho_filtro                     5 │
│ tamanho_minilote                  32 │
│ tasa_aprendizaje             0.00049 │
╰──────────────────────────────────────╯
Trial trial_b4529 started with configuration:
╭──────────────────────────────────────╮
│ Trial trial_b4529 config             │
├──────────────────────────────────────┤
│ N_capas                            3 │
│ epochs                            25 │
│ funcion_activacion              relu │
│ num_resblocks                      0 │
│ numero_filtros                    64 │
│ optimizador                  rmsprop │
│ tamanho_filtro                     3 │
│ tamanho_minilote                  32 │
│ tasa_aprendizaje               0.002 │
╰──────────────────────────────────────╯
Trial trial_b4529 started with configuration:
╭──────────────────────────────────────╮
│ Trial trial_b4529 config             │
├──────────────────────────────────────┤
│ N_capas                            3 │
│ epochs                            22 │
│ funcion_activacion              tanh │
│ num_resblocks                      0 │
│ numero_filtros                    96 │
│ optimizador                  rmsprop │
│ tamanho_filtro                     5 │
│ tamanho_minilote                  16 │
│ tasa_aprendizaje             0.00011 │
╰──────────────────────────────────────╯
Trial trial_b4529 started with configuration:
╭──────────────────────────────────────╮
│ Trial trial_b4529 config             │
├──────────────────────────────────────┤
│ N_capas                            3 │
│ epochs                            28 │
│ funcion_activacion              tanh │
│ num_resblocks                      1 │
│ numero_filtros                    96 │
│ optimizador                  rmsprop │
│ tamanho_filtro                     3 │
│ tamanho_minilote                  16 │
│ tasa_aprendizaje             0.00002 │
╰──────────────────────────────────────╯
Trial trial_b4529 started with configuration:
╭──────────────────────────────────────╮
│ Trial trial_b4529 config             │
├──────────────────────────────────────┤
│ N_capas                            3 │
│ epochs                            16 │
│ funcion_activacion              relu │
│ num_resblocks                      1 │
│ numero_filtros                    64 │
│ optimizador                  rmsprop │
│ tamanho_filtro                     3 │
│ tamanho_minilote                  16 │
│ tasa_aprendizaje             0.00004 │
╰──────────────────────────────────────╯
Trial trial_b4529 started with configuration:
╭──────────────────────────────────────╮
│ Trial trial_b4529 config             │
├──────────────────────────────────────┤
│ N_capas                            3 │
│ epochs                            25 │
│ funcion_activacion              tanh │
│ num_resblocks                      0 │
│ numero_filtros                    32 │
│ optimizador                  rmsprop │
│ tamanho_filtro                     5 │
│ tamanho_minilote                  32 │
│ tasa_aprendizaje             0.00002 │
╰──────────────────────────────────────╯
Trial trial_b4529 started with configuration:
[36m(train_cnn_ray_tune pid=1363106)[0m 2025-11-08 18:16:52.805609: E external/local_xla/xla/stream_executor/cuda/cuda_platform.cc:51] failed call to cuInit: INTERNAL: CUDA error: Failed call to cuInit: CUDA_ERROR_NO_DEVICE: no CUDA-capable device is detected
[36m(train_cnn_ray_tune pid=1363106)[0m 2025-11-08 18:16:52.805663: I external/local_xla/xla/stream_executor/cuda/cuda_diagnostics.cc:167] env: CUDA_VISIBLE_DEVICES=""
[36m(train_cnn_ray_tune pid=1363106)[0m 2025-11-08 18:16:52.805672: I external/local_xla/xla/stream_executor/cuda/cuda_diagnostics.cc:170] CUDA_VISIBLE_DEVICES is set to an empty string - this hides all GPUs from CUDA
[36m(train_cnn_ray_tune pid=1363106)[0m 2025-11-08 18:16:52.805676: I external/local_xla/xla/stream_executor/cuda/cuda_diagnostics.cc:178] verbose logging is disabled. Rerun with verbose logging (usually --v=1 or --vmodule=cuda_diagnostics=1) to get more diagnostic output from this module
[36m(train_cnn_ray_tune pid=1363106)[0m 2025-11-08 18:16:52.805683: I external/local_xla/xla/stream_executor/cuda/cuda_diagnostics.cc:183] retrieving CUDA diagnostic information for host: simur-MS-7B94
[36m(train_cnn_ray_tune pid=1363106)[0m 2025-11-08 18:16:52.805687: I external/local_xla/xla/stream_executor/cuda/cuda_diagnostics.cc:190] hostname: simur-MS-7B94
[36m(train_cnn_ray_tune pid=1363106)[0m 2025-11-08 18:16:52.805899: I external/local_xla/xla/stream_executor/cuda/cuda_diagnostics.cc:197] libcuda reported version is: 570.133.7
[36m(train_cnn_ray_tune pid=1363106)[0m 2025-11-08 18:16:52.805936: I external/local_xla/xla/stream_executor/cuda/cuda_diagnostics.cc:201] kernel reported version is: 570.133.7
[36m(train_cnn_ray_tune pid=1363106)[0m 2025-11-08 18:16:52.805940: I external/local_xla/xla/stream_executor/cuda/cuda_diagnostics.cc:291] kernel version seems to match DSO: 570.133.7
╭──────────────────────────────────────╮
│ Trial trial_b4529 config             │
├──────────────────────────────────────┤
│ N_capas                            3 │
│ epochs                            25 │
│ funcion_activacion              tanh │
│ num_resblocks                      0 │
│ numero_filtros                    96 │
│ optimizador                  rmsprop │
│ tamanho_filtro                     3 │
│ tamanho_minilote                  16 │
│ tasa_aprendizaje             0.00003 │
╰──────────────────────────────────────╯
[36m(train_cnn_ray_tune pid=1363106)[0m Epoch 1/21
[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m Epoch 1/25[32m [repeated 19x across cluster] (Ray deduplicates logs by default. Set RAY_DEDUP_LOGS=0 to disable log deduplication, or see https://docs.ray.io/en/master/ray-observability/user-guides/configure-logging.html#log-deduplication for more options.)[0m
[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363049)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363104)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363104)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363104)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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Trial status: 20 RUNNING
Current time: 2025-11-08 18:17:16. Total running time: 30s
Logical resource usage: 20.0/20 CPUs, 0/1 GPUs (0.0/1.0 accelerator_type:G)
╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name     status       N_capas   optimizador     funcion_activacion       tamanho_minilote     numero_filtros     tamanho_filtro     num_resblocks     tasa_aprendizaje     epochs │
├─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ trial_b4529    RUNNING            2   adam            tanh                                   16                 96                  5                 1          0.00438546          17 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   16                 64                  5                 1          0.00499828          23 │
│ trial_b4529    RUNNING            3   rmsprop         relu                                   32                 32                  5                 1          0.000492984         27 │
│ trial_b4529    RUNNING            2   rmsprop         tanh                                   32                 64                  5                 0          0.00159181          26 │
│ trial_b4529    RUNNING            3   adam            tanh                                   32                 32                  3                 0          3.58603e-05         27 │
│ trial_b4529    RUNNING            2   adam            tanh                                   16                 32                  3                 0          0.00499085          23 │
│ trial_b4529    RUNNING            2   rmsprop         tanh                                   16                 64                  5                 1          0.00024729          19 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   16                 96                  5                 0          0.000114875         22 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   32                 32                  3                 0          0.000134897         21 │
│ trial_b4529    RUNNING            3   adam            relu                                   32                 32                  3                 0          0.000235024         27 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   32                 32                  5                 1          1.79994e-05         28 │
│ trial_b4529    RUNNING            3   rmsprop         relu                                   16                 64                  3                 1          4.24056e-05         16 │
│ trial_b4529    RUNNING            2   rmsprop         relu                                   32                 96                  5                 1          0.000352068         23 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   32                 32                  3                 0          1.01166e-05         29 │
│ trial_b4529    RUNNING            3   adam            tanh                                   16                 64                  3                 0          0.000419667         20 │
│ trial_b4529    RUNNING            3   rmsprop         relu                                   32                 64                  3                 0          0.00199625          25 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   16                 96                  3                 1          1.51945e-05         28 │
│ trial_b4529    RUNNING            2   rmsprop         relu                                   16                 96                  5                 0          0.00195981          26 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   16                 96                  3                 0          3.04652e-05         25 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   32                 32                  5                 0          1.67679e-05         25 │
╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363104)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m Epoch 2/26
[36m(train_cnn_ray_tune pid=1363069)[0m 
[1m  1/547[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m1:33[0m 171ms/step - accuracy: 0.3438 - loss: 2.3391
[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
[1m 648/1093[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m31s[0m 70ms/step - accuracy: 0.2282 - loss: 2.1233[32m [repeated 219x across cluster][0m
[36m(train_cnn_ray_tune pid=1363106)[0m 
[1m547/547[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m51s[0m 85ms/step - accuracy: 0.1884 - loss: 2.5695 - val_accuracy: 0.3215 - val_loss: 1.9183
[36m(train_cnn_ray_tune pid=1363106)[0m Epoch 2/21
[36m(train_cnn_ray_tune pid=1363106)[0m 
[1m  1/547[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m2:13[0m 245ms/step - accuracy: 0.2188 - loss: 2.0497
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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Trial status: 20 RUNNING
Current time: 2025-11-08 18:17:46. Total running time: 1min 0s
Logical resource usage: 20.0/20 CPUs, 0/1 GPUs (0.0/1.0 accelerator_type:G)
╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name     status       N_capas   optimizador     funcion_activacion       tamanho_minilote     numero_filtros     tamanho_filtro     num_resblocks     tasa_aprendizaje     epochs │
├─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ trial_b4529    RUNNING            2   adam            tanh                                   16                 96                  5                 1          0.00438546          17 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   16                 64                  5                 1          0.00499828          23 │
│ trial_b4529    RUNNING            3   rmsprop         relu                                   32                 32                  5                 1          0.000492984         27 │
│ trial_b4529    RUNNING            2   rmsprop         tanh                                   32                 64                  5                 0          0.00159181          26 │
│ trial_b4529    RUNNING            3   adam            tanh                                   32                 32                  3                 0          3.58603e-05         27 │
│ trial_b4529    RUNNING            2   adam            tanh                                   16                 32                  3                 0          0.00499085          23 │
│ trial_b4529    RUNNING            2   rmsprop         tanh                                   16                 64                  5                 1          0.00024729          19 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   16                 96                  5                 0          0.000114875         22 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   32                 32                  3                 0          0.000134897         21 │
│ trial_b4529    RUNNING            3   adam            relu                                   32                 32                  3                 0          0.000235024         27 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   32                 32                  5                 1          1.79994e-05         28 │
│ trial_b4529    RUNNING            3   rmsprop         relu                                   16                 64                  3                 1          4.24056e-05         16 │
│ trial_b4529    RUNNING            2   rmsprop         relu                                   32                 96                  5                 1          0.000352068         23 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   32                 32                  3                 0          1.01166e-05         29 │
│ trial_b4529    RUNNING            3   adam            tanh                                   16                 64                  3                 0          0.000419667         20 │
│ trial_b4529    RUNNING            3   rmsprop         relu                                   32                 64                  3                 0          0.00199625          25 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   16                 96                  3                 1          1.51945e-05         28 │
│ trial_b4529    RUNNING            2   rmsprop         relu                                   16                 96                  5                 0          0.00195981          26 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   16                 96                  3                 0          3.04652e-05         25 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   32                 32                  5                 0          1.67679e-05         25 │
╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363049)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363062)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m Epoch 2/25[32m [repeated 4x across cluster][0m
[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363104)[0m 
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[36m(train_cnn_ray_tune pid=1363104)[0m Epoch 2/27[32m [repeated 3x across cluster][0m
[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363104)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m Epoch 2/25
[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m Epoch 2/23
[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m Epoch 2/19
[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363049)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363049)[0m 
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Trial status: 20 RUNNING
Current time: 2025-11-08 18:18:16. Total running time: 1min 30s
Logical resource usage: 20.0/20 CPUs, 0/1 GPUs (0.0/1.0 accelerator_type:G)
╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name     status       N_capas   optimizador     funcion_activacion       tamanho_minilote     numero_filtros     tamanho_filtro     num_resblocks     tasa_aprendizaje     epochs │
├─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ trial_b4529    RUNNING            2   adam            tanh                                   16                 96                  5                 1          0.00438546          17 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   16                 64                  5                 1          0.00499828          23 │
│ trial_b4529    RUNNING            3   rmsprop         relu                                   32                 32                  5                 1          0.000492984         27 │
│ trial_b4529    RUNNING            2   rmsprop         tanh                                   32                 64                  5                 0          0.00159181          26 │
│ trial_b4529    RUNNING            3   adam            tanh                                   32                 32                  3                 0          3.58603e-05         27 │
│ trial_b4529    RUNNING            2   adam            tanh                                   16                 32                  3                 0          0.00499085          23 │
│ trial_b4529    RUNNING            2   rmsprop         tanh                                   16                 64                  5                 1          0.00024729          19 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   16                 96                  5                 0          0.000114875         22 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   32                 32                  3                 0          0.000134897         21 │
│ trial_b4529    RUNNING            3   adam            relu                                   32                 32                  3                 0          0.000235024         27 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   32                 32                  5                 1          1.79994e-05         28 │
│ trial_b4529    RUNNING            3   rmsprop         relu                                   16                 64                  3                 1          4.24056e-05         16 │
│ trial_b4529    RUNNING            2   rmsprop         relu                                   32                 96                  5                 1          0.000352068         23 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   32                 32                  3                 0          1.01166e-05         29 │
│ trial_b4529    RUNNING            3   adam            tanh                                   16                 64                  3                 0          0.000419667         20 │
│ trial_b4529    RUNNING            3   rmsprop         relu                                   32                 64                  3                 0          0.00199625          25 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   16                 96                  3                 1          1.51945e-05         28 │
│ trial_b4529    RUNNING            2   rmsprop         relu                                   16                 96                  5                 0          0.00195981          26 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   16                 96                  3                 0          3.04652e-05         25 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   32                 32                  5                 0          1.67679e-05         25 │
╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m Epoch 3/26
[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363062)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m Epoch 2/26
[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363062)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m Epoch 3/29[32m [repeated 2x across cluster][0m
[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
[1m  1/547[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m1:19[0m 145ms/step - accuracy: 0.2188 - loss: 2.2392
[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363049)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363049)[0m 
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[36m(train_cnn_ray_tune pid=1363104)[0m 
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[36m(train_cnn_ray_tune pid=1363104)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m 
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[36m(train_cnn_ray_tune pid=1363062)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m Epoch 3/25[32m [repeated 5x across cluster][0m
[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363104)[0m 
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[36m(train_cnn_ray_tune pid=1363104)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363104)[0m Epoch 3/27[32m [repeated 2x across cluster][0m
[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363049)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m Epoch 2/16
Trial status: 20 RUNNING
Current time: 2025-11-08 18:18:46. Total running time: 2min 0s
Logical resource usage: 20.0/20 CPUs, 0/1 GPUs (0.0/1.0 accelerator_type:G)
╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name     status       N_capas   optimizador     funcion_activacion       tamanho_minilote     numero_filtros     tamanho_filtro     num_resblocks     tasa_aprendizaje     epochs │
├─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ trial_b4529    RUNNING            2   adam            tanh                                   16                 96                  5                 1          0.00438546          17 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   16                 64                  5                 1          0.00499828          23 │
│ trial_b4529    RUNNING            3   rmsprop         relu                                   32                 32                  5                 1          0.000492984         27 │
│ trial_b4529    RUNNING            2   rmsprop         tanh                                   32                 64                  5                 0          0.00159181          26 │
│ trial_b4529    RUNNING            3   adam            tanh                                   32                 32                  3                 0          3.58603e-05         27 │
│ trial_b4529    RUNNING            2   adam            tanh                                   16                 32                  3                 0          0.00499085          23 │
│ trial_b4529    RUNNING            2   rmsprop         tanh                                   16                 64                  5                 1          0.00024729          19 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   16                 96                  5                 0          0.000114875         22 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   32                 32                  3                 0          0.000134897         21 │
│ trial_b4529    RUNNING            3   adam            relu                                   32                 32                  3                 0          0.000235024         27 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   32                 32                  5                 1          1.79994e-05         28 │
│ trial_b4529    RUNNING            3   rmsprop         relu                                   16                 64                  3                 1          4.24056e-05         16 │
│ trial_b4529    RUNNING            2   rmsprop         relu                                   32                 96                  5                 1          0.000352068         23 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   32                 32                  3                 0          1.01166e-05         29 │
│ trial_b4529    RUNNING            3   adam            tanh                                   16                 64                  3                 0          0.000419667         20 │
│ trial_b4529    RUNNING            3   rmsprop         relu                                   32                 64                  3                 0          0.00199625          25 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   16                 96                  3                 1          1.51945e-05         28 │
│ trial_b4529    RUNNING            2   rmsprop         relu                                   16                 96                  5                 0          0.00195981          26 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   16                 96                  3                 0          3.04652e-05         25 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   32                 32                  5                 0          1.67679e-05         25 │
╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
[1m1093/1093[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m114s[0m 100ms/step - accuracy: 0.0818 - loss: 2.8001 - val_accuracy: 0.0960 - val_loss: 2.6904
[36m(train_cnn_ray_tune pid=1363050)[0m Epoch 2/23
[36m(train_cnn_ray_tune pid=1363092)[0m 
[1m223/547[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m22s[0m 69ms/step - accuracy: 0.5398 - loss: 1.2634[32m [repeated 239x across cluster][0m
[36m(train_cnn_ray_tune pid=1363050)[0m 
[1m   1/1093[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m2:29[0m 137ms/step - accuracy: 0.0000e+00 - loss: 2.7565
[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m Epoch 2/20[32m [repeated 2x across cluster][0m
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m Epoch 4/26
[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
[1m  1/547[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m1:10[0m 128ms/step - accuracy: 0.4688 - loss: 1.4856
[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363049)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m Epoch 2/28
[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363104)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363049)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m Epoch 3/23[32m [repeated 2x across cluster][0m
[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363049)[0m 
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[36m(train_cnn_ray_tune pid=1363049)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m Epoch 4/29[32m [repeated 2x across cluster][0m
[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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Trial status: 20 RUNNING
Current time: 2025-11-08 18:19:16. Total running time: 2min 30s
Logical resource usage: 20.0/20 CPUs, 0/1 GPUs (0.0/1.0 accelerator_type:G)
╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name     status       N_capas   optimizador     funcion_activacion       tamanho_minilote     numero_filtros     tamanho_filtro     num_resblocks     tasa_aprendizaje     epochs │
├─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ trial_b4529    RUNNING            2   adam            tanh                                   16                 96                  5                 1          0.00438546          17 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   16                 64                  5                 1          0.00499828          23 │
│ trial_b4529    RUNNING            3   rmsprop         relu                                   32                 32                  5                 1          0.000492984         27 │
│ trial_b4529    RUNNING            2   rmsprop         tanh                                   32                 64                  5                 0          0.00159181          26 │
│ trial_b4529    RUNNING            3   adam            tanh                                   32                 32                  3                 0          3.58603e-05         27 │
│ trial_b4529    RUNNING            2   adam            tanh                                   16                 32                  3                 0          0.00499085          23 │
│ trial_b4529    RUNNING            2   rmsprop         tanh                                   16                 64                  5                 1          0.00024729          19 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   16                 96                  5                 0          0.000114875         22 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   32                 32                  3                 0          0.000134897         21 │
│ trial_b4529    RUNNING            3   adam            relu                                   32                 32                  3                 0          0.000235024         27 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   32                 32                  5                 1          1.79994e-05         28 │
│ trial_b4529    RUNNING            3   rmsprop         relu                                   16                 64                  3                 1          4.24056e-05         16 │
│ trial_b4529    RUNNING            2   rmsprop         relu                                   32                 96                  5                 1          0.000352068         23 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   32                 32                  3                 0          1.01166e-05         29 │
│ trial_b4529    RUNNING            3   adam            tanh                                   16                 64                  3                 0          0.000419667         20 │
│ trial_b4529    RUNNING            3   rmsprop         relu                                   32                 64                  3                 0          0.00199625          25 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   16                 96                  3                 1          1.51945e-05         28 │
│ trial_b4529    RUNNING            2   rmsprop         relu                                   16                 96                  5                 0          0.00195981          26 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   16                 96                  3                 0          3.04652e-05         25 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   32                 32                  5                 0          1.67679e-05         25 │
╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363062)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363104)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m 
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[36m(train_cnn_ray_tune pid=1363104)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363104)[0m Epoch 4/27[32m [repeated 3x across cluster][0m
[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363104)[0m 
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[36m(train_cnn_ray_tune pid=1363104)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m Epoch 5/26
[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363049)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363049)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m Epoch 4/25
[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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Trial status: 20 RUNNING
Current time: 2025-11-08 18:19:46. Total running time: 3min 0s
Logical resource usage: 20.0/20 CPUs, 0/1 GPUs (0.0/1.0 accelerator_type:G)
╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name     status       N_capas   optimizador     funcion_activacion       tamanho_minilote     numero_filtros     tamanho_filtro     num_resblocks     tasa_aprendizaje     epochs │
├─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ trial_b4529    RUNNING            2   adam            tanh                                   16                 96                  5                 1          0.00438546          17 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   16                 64                  5                 1          0.00499828          23 │
│ trial_b4529    RUNNING            3   rmsprop         relu                                   32                 32                  5                 1          0.000492984         27 │
│ trial_b4529    RUNNING            2   rmsprop         tanh                                   32                 64                  5                 0          0.00159181          26 │
│ trial_b4529    RUNNING            3   adam            tanh                                   32                 32                  3                 0          3.58603e-05         27 │
│ trial_b4529    RUNNING            2   adam            tanh                                   16                 32                  3                 0          0.00499085          23 │
│ trial_b4529    RUNNING            2   rmsprop         tanh                                   16                 64                  5                 1          0.00024729          19 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   16                 96                  5                 0          0.000114875         22 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   32                 32                  3                 0          0.000134897         21 │
│ trial_b4529    RUNNING            3   adam            relu                                   32                 32                  3                 0          0.000235024         27 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   32                 32                  5                 1          1.79994e-05         28 │
│ trial_b4529    RUNNING            3   rmsprop         relu                                   16                 64                  3                 1          4.24056e-05         16 │
│ trial_b4529    RUNNING            2   rmsprop         relu                                   32                 96                  5                 1          0.000352068         23 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   32                 32                  3                 0          1.01166e-05         29 │
│ trial_b4529    RUNNING            3   adam            tanh                                   16                 64                  3                 0          0.000419667         20 │
│ trial_b4529    RUNNING            3   rmsprop         relu                                   32                 64                  3                 0          0.00199625          25 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   16                 96                  3                 1          1.51945e-05         28 │
│ trial_b4529    RUNNING            2   rmsprop         relu                                   16                 96                  5                 0          0.00195981          26 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   16                 96                  3                 0          3.04652e-05         25 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   32                 32                  5                 0          1.67679e-05         25 │
╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363049)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363062)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363049)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m Epoch 3/26
[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m 
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[36m(train_cnn_ray_tune pid=1363062)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363104)[0m 
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[36m(train_cnn_ray_tune pid=1363049)[0m 
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[36m(train_cnn_ray_tune pid=1363049)[0m Epoch 3/17
[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
[1m  1/547[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m1:32[0m 170ms/step - accuracy: 0.2188 - loss: 2.2811
[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363104)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363062)[0m Epoch 5/27[32m [repeated 3x across cluster][0m
[36m(train_cnn_ray_tune pid=1363062)[0m 
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[36m(train_cnn_ray_tune pid=1363062)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363104)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363104)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m Epoch 5/27[32m [repeated 5x across cluster][0m
[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363104)[0m Epoch 5/27
Trial status: 20 RUNNING
Current time: 2025-11-08 18:20:17. Total running time: 3min 30s
Logical resource usage: 20.0/20 CPUs, 0/1 GPUs (0.0/1.0 accelerator_type:G)
╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name     status       N_capas   optimizador     funcion_activacion       tamanho_minilote     numero_filtros     tamanho_filtro     num_resblocks     tasa_aprendizaje     epochs │
├─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ trial_b4529    RUNNING            2   adam            tanh                                   16                 96                  5                 1          0.00438546          17 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   16                 64                  5                 1          0.00499828          23 │
│ trial_b4529    RUNNING            3   rmsprop         relu                                   32                 32                  5                 1          0.000492984         27 │
│ trial_b4529    RUNNING            2   rmsprop         tanh                                   32                 64                  5                 0          0.00159181          26 │
│ trial_b4529    RUNNING            3   adam            tanh                                   32                 32                  3                 0          3.58603e-05         27 │
│ trial_b4529    RUNNING            2   adam            tanh                                   16                 32                  3                 0          0.00499085          23 │
│ trial_b4529    RUNNING            2   rmsprop         tanh                                   16                 64                  5                 1          0.00024729          19 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   16                 96                  5                 0          0.000114875         22 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   32                 32                  3                 0          0.000134897         21 │
│ trial_b4529    RUNNING            3   adam            relu                                   32                 32                  3                 0          0.000235024         27 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   32                 32                  5                 1          1.79994e-05         28 │
│ trial_b4529    RUNNING            3   rmsprop         relu                                   16                 64                  3                 1          4.24056e-05         16 │
│ trial_b4529    RUNNING            2   rmsprop         relu                                   32                 96                  5                 1          0.000352068         23 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   32                 32                  3                 0          1.01166e-05         29 │
│ trial_b4529    RUNNING            3   adam            tanh                                   16                 64                  3                 0          0.000419667         20 │
│ trial_b4529    RUNNING            3   rmsprop         relu                                   32                 64                  3                 0          0.00199625          25 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   16                 96                  3                 1          1.51945e-05         28 │
│ trial_b4529    RUNNING            2   rmsprop         relu                                   16                 96                  5                 0          0.00195981          26 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   16                 96                  3                 0          3.04652e-05         25 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   32                 32                  5                 0          1.67679e-05         25 │
╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
[36m(train_cnn_ray_tune pid=1363104)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363062)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m Epoch 3/16
[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
[1m   1/1093[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m2:30[0m 138ms/step - accuracy: 0.5625 - loss: 1.5513
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m Epoch 4/19
[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
[1m   1/1093[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m3:13[0m 178ms/step - accuracy: 0.1875 - loss: 2.5955
[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363062)[0m 
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[36m(train_cnn_ray_tune pid=1363062)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m Epoch 3/20[32m [repeated 3x across cluster][0m
[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363104)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m Epoch 5/25
[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
[1m1007/1093[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m8s[0m 97ms/step - accuracy: 0.2752 - loss: 2.1657
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[36m(train_cnn_ray_tune pid=1363061)[0m 
[1m1014/1093[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m7s[0m 97ms/step - accuracy: 0.2753 - loss: 2.1654
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[36m(train_cnn_ray_tune pid=1363061)[0m 
[1m1017/1093[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m7s[0m 97ms/step - accuracy: 0.2753 - loss: 2.1652
[1m1018/1093[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m7s[0m 97ms/step - accuracy: 0.2753 - loss: 2.1652
[36m(train_cnn_ray_tune pid=1363061)[0m 
[1m1020/1093[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m7s[0m 97ms/step - accuracy: 0.2754 - loss: 2.1651
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[36m(train_cnn_ray_tune pid=1363093)[0m 
[1m  1/547[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m1:55[0m 211ms/step - accuracy: 0.4688 - loss: 1.1786
[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
[1m 223/1093[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m49s[0m 57ms/step - accuracy: 0.5019 - loss: 1.4785
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[36m(train_cnn_ray_tune pid=1363102)[0m 
[1m 226/1093[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m49s[0m 58ms/step - accuracy: 0.5017 - loss: 1.4787[32m [repeated 124x across cluster][0m
[36m(train_cnn_ray_tune pid=1363075)[0m 
[1m547/547[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m43s[0m 78ms/step - accuracy: 0.2187 - loss: 2.3849 - val_accuracy: 0.2472 - val_loss: 2.2102
[36m(train_cnn_ray_tune pid=1363075)[0m Epoch 6/29
[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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Trial status: 20 RUNNING
Current time: 2025-11-08 18:20:47. Total running time: 4min 0s
Logical resource usage: 20.0/20 CPUs, 0/1 GPUs (0.0/1.0 accelerator_type:G)
╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name     status       N_capas   optimizador     funcion_activacion       tamanho_minilote     numero_filtros     tamanho_filtro     num_resblocks     tasa_aprendizaje     epochs │
├─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ trial_b4529    RUNNING            2   adam            tanh                                   16                 96                  5                 1          0.00438546          17 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   16                 64                  5                 1          0.00499828          23 │
│ trial_b4529    RUNNING            3   rmsprop         relu                                   32                 32                  5                 1          0.000492984         27 │
│ trial_b4529    RUNNING            2   rmsprop         tanh                                   32                 64                  5                 0          0.00159181          26 │
│ trial_b4529    RUNNING            3   adam            tanh                                   32                 32                  3                 0          3.58603e-05         27 │
│ trial_b4529    RUNNING            2   adam            tanh                                   16                 32                  3                 0          0.00499085          23 │
│ trial_b4529    RUNNING            2   rmsprop         tanh                                   16                 64                  5                 1          0.00024729          19 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   16                 96                  5                 0          0.000114875         22 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   32                 32                  3                 0          0.000134897         21 │
│ trial_b4529    RUNNING            3   adam            relu                                   32                 32                  3                 0          0.000235024         27 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   32                 32                  5                 1          1.79994e-05         28 │
│ trial_b4529    RUNNING            3   rmsprop         relu                                   16                 64                  3                 1          4.24056e-05         16 │
│ trial_b4529    RUNNING            2   rmsprop         relu                                   32                 96                  5                 1          0.000352068         23 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   32                 32                  3                 0          1.01166e-05         29 │
│ trial_b4529    RUNNING            3   adam            tanh                                   16                 64                  3                 0          0.000419667         20 │
│ trial_b4529    RUNNING            3   rmsprop         relu                                   32                 64                  3                 0          0.00199625          25 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   16                 96                  3                 1          1.51945e-05         28 │
│ trial_b4529    RUNNING            2   rmsprop         relu                                   16                 96                  5                 0          0.00195981          26 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   16                 96                  3                 0          3.04652e-05         25 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   32                 32                  5                 0          1.67679e-05         25 │
╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363104)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363104)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m Epoch 6/25
[36m(train_cnn_ray_tune pid=1363077)[0m 
[1m  1/547[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m1:13[0m 135ms/step - accuracy: 0.2500 - loss: 2.4256
[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363062)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363049)[0m 
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[36m(train_cnn_ray_tune pid=1363104)[0m 
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[36m(train_cnn_ray_tune pid=1363049)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363104)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363049)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m Epoch 6/28[32m [repeated 4x across cluster][0m
[36m(train_cnn_ray_tune pid=1363049)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363104)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363049)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363104)[0m 
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[36m(train_cnn_ray_tune pid=1363104)[0m Epoch 6/27
[36m(train_cnn_ray_tune pid=1363104)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363049)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m Epoch 3/28
[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m Epoch 3/25[32m [repeated 2x across cluster][0m
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m Epoch 4/26
[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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Trial status: 20 RUNNING
Current time: 2025-11-08 18:21:17. Total running time: 4min 30s
Logical resource usage: 20.0/20 CPUs, 0/1 GPUs (0.0/1.0 accelerator_type:G)
╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name     status       N_capas   optimizador     funcion_activacion       tamanho_minilote     numero_filtros     tamanho_filtro     num_resblocks     tasa_aprendizaje     epochs │
├─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ trial_b4529    RUNNING            2   adam            tanh                                   16                 96                  5                 1          0.00438546          17 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   16                 64                  5                 1          0.00499828          23 │
│ trial_b4529    RUNNING            3   rmsprop         relu                                   32                 32                  5                 1          0.000492984         27 │
│ trial_b4529    RUNNING            2   rmsprop         tanh                                   32                 64                  5                 0          0.00159181          26 │
│ trial_b4529    RUNNING            3   adam            tanh                                   32                 32                  3                 0          3.58603e-05         27 │
│ trial_b4529    RUNNING            2   adam            tanh                                   16                 32                  3                 0          0.00499085          23 │
│ trial_b4529    RUNNING            2   rmsprop         tanh                                   16                 64                  5                 1          0.00024729          19 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   16                 96                  5                 0          0.000114875         22 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   32                 32                  3                 0          0.000134897         21 │
│ trial_b4529    RUNNING            3   adam            relu                                   32                 32                  3                 0          0.000235024         27 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   32                 32                  5                 1          1.79994e-05         28 │
│ trial_b4529    RUNNING            3   rmsprop         relu                                   16                 64                  3                 1          4.24056e-05         16 │
│ trial_b4529    RUNNING            2   rmsprop         relu                                   32                 96                  5                 1          0.000352068         23 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   32                 32                  3                 0          1.01166e-05         29 │
│ trial_b4529    RUNNING            3   adam            tanh                                   16                 64                  3                 0          0.000419667         20 │
│ trial_b4529    RUNNING            3   rmsprop         relu                                   32                 64                  3                 0          0.00199625          25 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   16                 96                  3                 1          1.51945e-05         28 │
│ trial_b4529    RUNNING            2   rmsprop         relu                                   16                 96                  5                 0          0.00195981          26 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   16                 96                  3                 0          3.04652e-05         25 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   32                 32                  5                 0          1.67679e-05         25 │
╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m 
[1m533/547[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m1s[0m 75ms/step - accuracy: 0.6876 - loss: 0.8767
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363049)[0m 
[1m 259/1093[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m59s[0m 72ms/step - accuracy: 0.2733 - loss: 1.9942 
[1m 260/1093[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m59s[0m 72ms/step - accuracy: 0.2732 - loss: 1.9943
[36m(train_cnn_ray_tune pid=1363106)[0m 
[1m547/547[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m44s[0m 80ms/step - accuracy: 0.4448 - loss: 1.6026 - val_accuracy: 0.3676 - val_loss: 1.7438
[36m(train_cnn_ray_tune pid=1363106)[0m Epoch 6/21
[36m(train_cnn_ray_tune pid=1363106)[0m 
[1m  1/547[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m1:35[0m 176ms/step - accuracy: 0.5000 - loss: 1.3409
[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363062)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m Epoch 6/23
[36m(train_cnn_ray_tune pid=1363092)[0m 
[1m  1/547[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m1:58[0m 216ms/step - accuracy: 0.5312 - loss: 1.4939
[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m 
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[36m(train_cnn_ray_tune pid=1363104)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m Epoch 7/29
[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m 
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[36m(train_cnn_ray_tune pid=1363049)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m Epoch 3/22[32m [repeated 2x across cluster][0m
[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363104)[0m 
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[36m(train_cnn_ray_tune pid=1363104)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363062)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363049)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m Epoch 7/28[32m [repeated 5x across cluster][0m
[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363104)[0m 
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[36m(train_cnn_ray_tune pid=1363104)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363049)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m Epoch 5/19
[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363104)[0m 
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[36m(train_cnn_ray_tune pid=1363104)[0m Epoch 7/27
[36m(train_cnn_ray_tune pid=1363102)[0m 
[1m   1/1093[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m2:59[0m 164ms/step - accuracy: 0.3125 - loss: 1.6527
[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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Trial status: 20 RUNNING
Current time: 2025-11-08 18:21:47. Total running time: 5min 0s
Logical resource usage: 20.0/20 CPUs, 0/1 GPUs (0.0/1.0 accelerator_type:G)
╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name     status       N_capas   optimizador     funcion_activacion       tamanho_minilote     numero_filtros     tamanho_filtro     num_resblocks     tasa_aprendizaje     epochs │
├─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ trial_b4529    RUNNING            2   adam            tanh                                   16                 96                  5                 1          0.00438546          17 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   16                 64                  5                 1          0.00499828          23 │
│ trial_b4529    RUNNING            3   rmsprop         relu                                   32                 32                  5                 1          0.000492984         27 │
│ trial_b4529    RUNNING            2   rmsprop         tanh                                   32                 64                  5                 0          0.00159181          26 │
│ trial_b4529    RUNNING            3   adam            tanh                                   32                 32                  3                 0          3.58603e-05         27 │
│ trial_b4529    RUNNING            2   adam            tanh                                   16                 32                  3                 0          0.00499085          23 │
│ trial_b4529    RUNNING            2   rmsprop         tanh                                   16                 64                  5                 1          0.00024729          19 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   16                 96                  5                 0          0.000114875         22 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   32                 32                  3                 0          0.000134897         21 │
│ trial_b4529    RUNNING            3   adam            relu                                   32                 32                  3                 0          0.000235024         27 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   32                 32                  5                 1          1.79994e-05         28 │
│ trial_b4529    RUNNING            3   rmsprop         relu                                   16                 64                  3                 1          4.24056e-05         16 │
│ trial_b4529    RUNNING            2   rmsprop         relu                                   32                 96                  5                 1          0.000352068         23 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   32                 32                  3                 0          1.01166e-05         29 │
│ trial_b4529    RUNNING            3   adam            tanh                                   16                 64                  3                 0          0.000419667         20 │
│ trial_b4529    RUNNING            3   rmsprop         relu                                   32                 64                  3                 0          0.00199625          25 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   16                 96                  3                 1          1.51945e-05         28 │
│ trial_b4529    RUNNING            2   rmsprop         relu                                   16                 96                  5                 0          0.00195981          26 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   16                 96                  3                 0          3.04652e-05         25 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   32                 32                  5                 0          1.67679e-05         25 │
╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
[36m(train_cnn_ray_tune pid=1363105)[0m 
[1m  85/1093[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m2:09[0m 128ms/step - accuracy: 0.4825 - loss: 1.5882[32m [repeated 78x across cluster][0m
[36m(train_cnn_ray_tune pid=1363104)[0m 
[1m  1/547[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m2:08[0m 236ms/step - accuracy: 0.5625 - loss: 1.2739
[36m(train_cnn_ray_tune pid=1363068)[0m 
[1m 985/1093[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m8s[0m 83ms/step - accuracy: 0.3116 - loss: 1.8732
[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363104)[0m 
[1m  2/547[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m50s[0m 93ms/step - accuracy: 0.5547 - loss: 1.2587  
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[1m 402/1093[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m1:09[0m 100ms/step - accuracy: 0.3181 - loss: 2.0070[32m [repeated 7x across cluster][0m
[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363049)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363062)[0m 
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[36m(train_cnn_ray_tune pid=1363062)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m Epoch 7/21
[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
[1m  1/547[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m1:22[0m 152ms/step - accuracy: 0.5000 - loss: 1.4673
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363049)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363049)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363049)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
[1m1068/1093[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m2s[0m 89ms/step - accuracy: 0.4363 - loss: 1.5089
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[36m(train_cnn_ray_tune pid=1363069)[0m 
[1m547/547[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m40s[0m 73ms/step - accuracy: 0.5550 - loss: 1.1472 - val_accuracy: 0.4294 - val_loss: 1.7387
[36m(train_cnn_ray_tune pid=1363068)[0m 
[1m1093/1093[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m107s[0m 97ms/step - accuracy: 0.3119 - loss: 1.8723 - val_accuracy: 0.3036 - val_loss: 1.8190
[36m(train_cnn_ray_tune pid=1363068)[0m Epoch 4/16
[36m(train_cnn_ray_tune pid=1363092)[0m 
[1m  1/547[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m1:41[0m 186ms/step - accuracy: 0.8125 - loss: 0.4719
[36m(train_cnn_ray_tune pid=1363068)[0m 
[1m   1/1093[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m3:08[0m 173ms/step - accuracy: 0.3125 - loss: 1.6769
[1m   2/1093[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m1:44[0m 96ms/step - accuracy: 0.3594 - loss: 1.6419 
[36m(train_cnn_ray_tune pid=1363105)[0m 
[1m 292/1093[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m1:39[0m 124ms/step - accuracy: 0.4900 - loss: 1.5617[32m [repeated 44x across cluster][0m
[36m(train_cnn_ray_tune pid=1363069)[0m 
[1m 1/75[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m31s[0m 423ms/step
[1m 4/75[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m1s[0m 18ms/step  
[36m(train_cnn_ray_tune pid=1363069)[0m 
[1m 5/75[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m1s[0m 27ms/step
[36m(train_cnn_ray_tune pid=1363069)[0m 
[1m 8/75[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m1s[0m 29ms/step
[36m(train_cnn_ray_tune pid=1363069)[0m 
[1m10/75[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m1s[0m 29ms/step
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[36m(train_cnn_ray_tune pid=1363069)[0m 
[1m14/75[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m1s[0m 29ms/step
[36m(train_cnn_ray_tune pid=1363069)[0m 
[1m16/75[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m1s[0m 31ms/step
[36m(train_cnn_ray_tune pid=1363069)[0m 
[1m18/75[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m1s[0m 31ms/step
[36m(train_cnn_ray_tune pid=1363069)[0m 
[1m21/75[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m1s[0m 31ms/step
[36m(train_cnn_ray_tune pid=1363062)[0m 
[1m425/547[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m9s[0m 82ms/step - accuracy: 0.6445 - loss: 0.9776 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
[1m22/75[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m1s[0m 32ms/step
[1m25/75[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m1s[0m 33ms/step
[36m(train_cnn_ray_tune pid=1363068)[0m 
[1m  13/1093[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m1:37[0m 90ms/step - accuracy: 0.4015 - loss: 1.7168
[1m  14/1093[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m1:36[0m 89ms/step - accuracy: 0.3980 - loss: 1.7230[32m [repeated 19x across cluster][0m
[36m(train_cnn_ray_tune pid=1363069)[0m 
[1m28/75[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m1s[0m 32ms/step
[36m(train_cnn_ray_tune pid=1363069)[0m 
[1m30/75[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m1s[0m 32ms/step
[36m(train_cnn_ray_tune pid=1363069)[0m 
[1m33/75[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m1s[0m 31ms/step
[1m35/75[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m1s[0m 31ms/step
[36m(train_cnn_ray_tune pid=1363062)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
[1m38/75[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m1s[0m 30ms/step
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
[1m43/75[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m0s[0m 29ms/step
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363062)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363049)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
[1m 41/159[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m3s[0m 25ms/step
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363049)[0m 
[1m1090/1093[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m0s[0m 74ms/step - accuracy: 0.2672 - loss: 2.0113
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[36m(train_cnn_ray_tune pid=1363092)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m Epoch 6/23[32m [repeated 2x across cluster][0m
[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
[1m 53/159[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m2s[0m 25ms/step
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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Trial status: 20 RUNNING
Current time: 2025-11-08 18:22:17. Total running time: 5min 31s
Logical resource usage: 20.0/20 CPUs, 0/1 GPUs (0.0/1.0 accelerator_type:G)
╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name     status       N_capas   optimizador     funcion_activacion       tamanho_minilote     numero_filtros     tamanho_filtro     num_resblocks     tasa_aprendizaje     epochs │
├─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ trial_b4529    RUNNING            2   adam            tanh                                   16                 96                  5                 1          0.00438546          17 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   16                 64                  5                 1          0.00499828          23 │
│ trial_b4529    RUNNING            3   rmsprop         relu                                   32                 32                  5                 1          0.000492984         27 │
│ trial_b4529    RUNNING            2   rmsprop         tanh                                   32                 64                  5                 0          0.00159181          26 │
│ trial_b4529    RUNNING            3   adam            tanh                                   32                 32                  3                 0          3.58603e-05         27 │
│ trial_b4529    RUNNING            2   adam            tanh                                   16                 32                  3                 0          0.00499085          23 │
│ trial_b4529    RUNNING            2   rmsprop         tanh                                   16                 64                  5                 1          0.00024729          19 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   16                 96                  5                 0          0.000114875         22 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   32                 32                  3                 0          0.000134897         21 │
│ trial_b4529    RUNNING            3   adam            relu                                   32                 32                  3                 0          0.000235024         27 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   32                 32                  5                 1          1.79994e-05         28 │
│ trial_b4529    RUNNING            3   rmsprop         relu                                   16                 64                  3                 1          4.24056e-05         16 │
│ trial_b4529    RUNNING            2   rmsprop         relu                                   32                 96                  5                 1          0.000352068         23 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   32                 32                  3                 0          1.01166e-05         29 │
│ trial_b4529    RUNNING            3   adam            tanh                                   16                 64                  3                 0          0.000419667         20 │
│ trial_b4529    RUNNING            3   rmsprop         relu                                   32                 64                  3                 0          0.00199625          25 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   16                 96                  3                 1          1.51945e-05         28 │
│ trial_b4529    RUNNING            2   rmsprop         relu                                   16                 96                  5                 0          0.00195981          26 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   16                 96                  3                 0          3.04652e-05         25 │
│ trial_b4529    RUNNING            3   rmsprop         tanh                                   32                 32                  5                 0          1.67679e-05         25 │
╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
[36m(train_cnn_ray_tune pid=1363069)[0m 
[1m 66/159[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m2s[0m 25ms/step
[1m 68/159[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m2s[0m 25ms/step
[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
[1m 95/159[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m1s[0m 24ms/step
[1m 98/159[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m1s[0m 24ms/step
[36m(train_cnn_ray_tune pid=1363077)[0m 
[1m426/547[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m9s[0m 83ms/step - accuracy: 0.2607 - loss: 2.2090 
[1m427/547[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m9s[0m 83ms/step - accuracy: 0.2607 - loss: 2.2090
[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
[1m107/159[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m1s[0m 24ms/step
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[36m(train_cnn_ray_tune pid=1363062)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
[1m  1/547[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m1:25[0m 156ms/step - accuracy: 0.1250 - loss: 2.5651
[36m(train_cnn_ray_tune pid=1363069)[0m /home/simur/git/uniovi-simur-wearablepermed-ml/.venv/lib/python3.12/site-packages/ray/train/_internal/session.py:772: RayDeprecationWarning: `ray.train.report` should be switched to `ray.tune.report` when running in a function passed to Ray Tune. This will be an error in the future. See this issue for more context: https://github.com/ray-project/ray/issues/49454
[36m(train_cnn_ray_tune pid=1363069)[0m   _log_deprecation_warning(
[36m(train_cnn_ray_tune pid=1363091)[0m 2025-11-08 18:16:50.385903: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.[32m [repeated 19x across cluster][0m
[36m(train_cnn_ray_tune pid=1363091)[0m 2025-11-08 18:16:50.408354: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered[32m [repeated 19x across cluster][0m
[36m(train_cnn_ray_tune pid=1363077)[0m WARNING: All log messages before absl::InitializeLog() is called are written to STDERR[32m [repeated 19x across cluster][0m
[36m(train_cnn_ray_tune pid=1363077)[0m E0000 00:00:1762622210.383453 1364382 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered[32m [repeated 19x across cluster][0m
[36m(train_cnn_ray_tune pid=1363077)[0m E0000 00:00:1762622210.391616 1364382 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered[32m [repeated 19x across cluster][0m
[36m(train_cnn_ray_tune pid=1363077)[0m W0000 00:00:1762622210.411568 1364382 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.[32m [repeated 76x across cluster][0m
[36m(train_cnn_ray_tune pid=1363077)[0m 2025-11-08 18:16:50.417455: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.[32m [repeated 19x across cluster][0m
[36m(train_cnn_ray_tune pid=1363077)[0m To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.[32m [repeated 19x across cluster][0m
[36m(train_cnn_ray_tune pid=1363091)[0m 2025-11-08 18:16:53.843873: E external/local_xla/xla/stream_executor/cuda/cuda_platform.cc:51] failed call to cuInit: INTERNAL: CUDA error: Failed call to cuInit: CUDA_ERROR_NO_DEVICE: no CUDA-capable device is detected[32m [repeated 19x across cluster][0m
[36m(train_cnn_ray_tune pid=1363091)[0m 2025-11-08 18:16:53.844073: I external/local_xla/xla/stream_executor/cuda/cuda_diagnostics.cc:167] env: CUDA_VISIBLE_DEVICES=""[32m [repeated 19x across cluster][0m
[36m(train_cnn_ray_tune pid=1363091)[0m 2025-11-08 18:16:53.844098: I external/local_xla/xla/stream_executor/cuda/cuda_diagnostics.cc:170] CUDA_VISIBLE_DEVICES is set to an empty string - this hides all GPUs from CUDA[32m [repeated 19x across cluster][0m
[36m(train_cnn_ray_tune pid=1363091)[0m 2025-11-08 18:16:53.844109: I external/local_xla/xla/stream_executor/cuda/cuda_diagnostics.cc:178] verbose logging is disabled. Rerun with verbose logging (usually --v=1 or --vmodule=cuda_diagnostics=1) to get more diagnostic output from this module[32m [repeated 19x across cluster][0m
[36m(train_cnn_ray_tune pid=1363091)[0m 2025-11-08 18:16:53.844121: I external/local_xla/xla/stream_executor/cuda/cuda_diagnostics.cc:183] retrieving CUDA diagnostic information for host: simur-MS-7B94[32m [repeated 19x across cluster][0m
[36m(train_cnn_ray_tune pid=1363091)[0m 2025-11-08 18:16:53.844127: I external/local_xla/xla/stream_executor/cuda/cuda_diagnostics.cc:190] hostname: simur-MS-7B94[32m [repeated 19x across cluster][0m
[36m(train_cnn_ray_tune pid=1363091)[0m 2025-11-08 18:16:53.845186: I external/local_xla/xla/stream_executor/cuda/cuda_diagnostics.cc:197] libcuda reported version is: 570.133.7[32m [repeated 19x across cluster][0m
[36m(train_cnn_ray_tune pid=1363091)[0m 2025-11-08 18:16:53.845391: I external/local_xla/xla/stream_executor/cuda/cuda_diagnostics.cc:201] kernel reported version is: 570.133.7[32m [repeated 19x across cluster][0m
[36m(train_cnn_ray_tune pid=1363091)[0m 2025-11-08 18:16:53.845408: I external/local_xla/xla/stream_executor/cuda/cuda_diagnostics.cc:291] kernel version seems to match DSO: 570.133.7[32m [repeated 19x across cluster][0m
[36m(train_cnn_ray_tune pid=1363069)[0m 
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[1m153/159[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m0s[0m 25ms/step
[36m(train_cnn_ray_tune pid=1363069)[0m 
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[36m(train_cnn_ray_tune pid=1363069)[0m 
[1m157/159[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m0s[0m 26ms/step
[1m159/159[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 26ms/step
[36m(train_cnn_ray_tune pid=1363069)[0m 
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Trial trial_b4529 finished iteration 1 at 2025-11-08 18:22:19. Total running time: 5min 33s
╭──────────────────────────────────────╮
│ Trial trial_b4529 result             │
├──────────────────────────────────────┤
│ checkpoint_dir_name                  │
│ time_this_iter_s             330.548 │
│ time_total_s                 330.548 │
│ training_iteration                 1 │
│ val_accuracy                 0.42945 │
╰──────────────────────────────────────╯

Trial trial_b4529 completed after 1 iterations at 2025-11-08 18:22:20. Total running time: 5min 33s
[36m(train_cnn_ray_tune pid=1363092)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m Epoch 8/29
[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m Epoch 4/20
[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363062)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363104)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363104)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363049)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m Epoch 8/25[32m [repeated 4x across cluster][0m
[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363104)[0m 
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[36m(train_cnn_ray_tune pid=1363104)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m Epoch 7/25[32m [repeated 3x across cluster][0m
[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363049)[0m 
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[36m(train_cnn_ray_tune pid=1363104)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363104)[0m Epoch 8/27
[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m Epoch 5/26
[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
[1m   1/1093[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m4:25[0m 243ms/step - accuracy: 0.5625 - loss: 1.1256
[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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Trial status: 19 RUNNING | 1 TERMINATED
Current time: 2025-11-08 18:22:47. Total running time: 6min 1s
Logical resource usage: 19.0/20 CPUs, 0/1 GPUs (0.0/1.0 accelerator_type:G)
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name     status         N_capas   optimizador     funcion_activacion       tamanho_minilote     numero_filtros     tamanho_filtro     num_resblocks     tasa_aprendizaje     epochs     iter     total time (s)     val_accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ trial_b4529    RUNNING              2   adam            tanh                                   16                 96                  5                 1          0.00438546          17                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   16                 64                  5                 1          0.00499828          23                                              │
│ trial_b4529    RUNNING              3   rmsprop         relu                                   32                 32                  5                 1          0.000492984         27                                              │
│ trial_b4529    RUNNING              3   adam            tanh                                   32                 32                  3                 0          3.58603e-05         27                                              │
│ trial_b4529    RUNNING              2   adam            tanh                                   16                 32                  3                 0          0.00499085          23                                              │
│ trial_b4529    RUNNING              2   rmsprop         tanh                                   16                 64                  5                 1          0.00024729          19                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   16                 96                  5                 0          0.000114875         22                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   32                 32                  3                 0          0.000134897         21                                              │
│ trial_b4529    RUNNING              3   adam            relu                                   32                 32                  3                 0          0.000235024         27                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   32                 32                  5                 1          1.79994e-05         28                                              │
│ trial_b4529    RUNNING              3   rmsprop         relu                                   16                 64                  3                 1          4.24056e-05         16                                              │
│ trial_b4529    RUNNING              2   rmsprop         relu                                   32                 96                  5                 1          0.000352068         23                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   32                 32                  3                 0          1.01166e-05         29                                              │
│ trial_b4529    RUNNING              3   adam            tanh                                   16                 64                  3                 0          0.000419667         20                                              │
│ trial_b4529    RUNNING              3   rmsprop         relu                                   32                 64                  3                 0          0.00199625          25                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   16                 96                  3                 1          1.51945e-05         28                                              │
│ trial_b4529    RUNNING              2   rmsprop         relu                                   16                 96                  5                 0          0.00195981          26                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   16                 96                  3                 0          3.04652e-05         25                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   32                 32                  5                 0          1.67679e-05         25                                              │
│ trial_b4529    TERMINATED           2   rmsprop         tanh                                   32                 64                  5                 0          0.00159181          26        1            330.548         0.429447 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m Epoch 8/21
[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363062)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363049)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m 
[1m 1/75[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m41s[0m 566ms/step
[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m 
[1m 3/75[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m2s[0m 33ms/step  
[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
[1m 927/1093[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m8s[0m 49ms/step - accuracy: 0.3608 - loss: 1.7011
[36m(train_cnn_ray_tune pid=1363102)[0m 
[1m1093/1093[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m75s[0m 68ms/step - accuracy: 0.5290 - loss: 1.3563 - val_accuracy: 0.3674 - val_loss: 1.8299
[36m(train_cnn_ray_tune pid=1363102)[0m Epoch 6/19
[36m(train_cnn_ray_tune pid=1363092)[0m 
[1m 6/75[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m1s[0m 28ms/step
[1m 8/75[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m1s[0m 30ms/step
[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
[1m   1/1093[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m3:33[0m 195ms/step - accuracy: 0.5000 - loss: 2.0634
[36m(train_cnn_ray_tune pid=1363092)[0m 
[1m10/75[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m2s[0m 31ms/step
[36m(train_cnn_ray_tune pid=1363092)[0m 
[1m13/75[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m1s[0m 28ms/step
[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
[1m   2/1093[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m1:23[0m 76ms/step - accuracy: 0.5625 - loss: 1.8081 
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[36m(train_cnn_ray_tune pid=1363092)[0m 
[1m16/75[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m1s[0m 27ms/step
[36m(train_cnn_ray_tune pid=1363092)[0m 
[1m18/75[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m1s[0m 28ms/step
[36m(train_cnn_ray_tune pid=1363075)[0m 
[1m539/547[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m0s[0m 73ms/step - accuracy: 0.2656 - loss: 2.2017[32m [repeated 39x across cluster][0m
[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m 
[1m20/75[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m1s[0m 29ms/step
[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363049)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363062)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363104)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m /home/simur/git/uniovi-simur-wearablepermed-ml/.venv/lib/python3.12/site-packages/ray/train/_internal/session.py:772: RayDeprecationWarning: `ray.train.report` should be switched to `ray.tune.report` when running in a function passed to Ray Tune. This will be an error in the future. See this issue for more context: https://github.com/ray-project/ray/issues/49454
[36m(train_cnn_ray_tune pid=1363092)[0m   _log_deprecation_warning(
[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m 
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[36m(train_cnn_ray_tune pid=1363092)[0m 
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Trial trial_b4529 finished iteration 1 at 2025-11-08 18:23:06. Total running time: 6min 19s
╭──────────────────────────────────────╮
│ Trial trial_b4529 result             │
├──────────────────────────────────────┤
│ checkpoint_dir_name                  │
│ time_this_iter_s              376.99 │
│ time_total_s                  376.99 │
│ training_iteration                 1 │
│ val_accuracy                 0.41858 │
╰──────────────────────────────────────╯

Trial trial_b4529 completed after 1 iterations at 2025-11-08 18:23:06. Total running time: 6min 19s
[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363104)[0m 
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[36m(train_cnn_ray_tune pid=1363104)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363104)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m Epoch 9/29
[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
[1m   1/1093[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m3:49[0m 211ms/step - accuracy: 0.5625 - loss: 1.5993
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
[1m  16/1093[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m1:28[0m 82ms/step - accuracy: 0.3891 - loss: 1.8882
[1m  17/1093[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m1:27[0m 82ms/step - accuracy: 0.3887 - loss: 1.8883[32m [repeated 14x across cluster][0m
[36m(train_cnn_ray_tune pid=1363062)[0m 
[1m 1/75[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m1:01[0m 832ms/step
[36m(train_cnn_ray_tune pid=1363062)[0m 
[1m 2/75[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m4s[0m 67ms/step   
[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363062)[0m 
[1m 4/75[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m2s[0m 42ms/step
[1m 6/75[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m2s[0m 39ms/step
[36m(train_cnn_ray_tune pid=1363062)[0m 
[1m 8/75[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m2s[0m 41ms/step
[36m(train_cnn_ray_tune pid=1363062)[0m 
[1m 9/75[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m2s[0m 42ms/step
[36m(train_cnn_ray_tune pid=1363062)[0m 
[1m11/75[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m2s[0m 43ms/step
[36m(train_cnn_ray_tune pid=1363093)[0m 
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[1m467/547[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m6s[0m 85ms/step - accuracy: 0.6310 - loss: 0.9481[32m [repeated 45x across cluster][0m
[36m(train_cnn_ray_tune pid=1363062)[0m 
[1m13/75[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m2s[0m 42ms/step
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[36m(train_cnn_ray_tune pid=1363062)[0m 
[1m16/75[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m2s[0m 42ms/step
[1m19/75[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m2s[0m 40ms/step
[36m(train_cnn_ray_tune pid=1363077)[0m 
[1m547/547[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m45s[0m 82ms/step - accuracy: 0.2714 - loss: 2.1529 - val_accuracy: 0.2374 - val_loss: 2.1848[32m [repeated 2x across cluster][0m
[36m(train_cnn_ray_tune pid=1363077)[0m Epoch 9/25[32m [repeated 3x across cluster][0m
[36m(train_cnn_ray_tune pid=1363062)[0m 
[1m21/75[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m2s[0m 39ms/step
[1m23/75[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m1s[0m 38ms/step
[36m(train_cnn_ray_tune pid=1363095)[0m 
[1m   1/1093[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m2:24[0m 132ms/step - accuracy: 0.3750 - loss: 1.8563
[36m(train_cnn_ray_tune pid=1363062)[0m 
[1m25/75[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m1s[0m 37ms/step
[1m27/75[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m1s[0m 36ms/step
[36m(train_cnn_ray_tune pid=1363062)[0m 
[1m29/75[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m1s[0m 36ms/step
[36m(train_cnn_ray_tune pid=1363062)[0m 
[1m31/75[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m1s[0m 35ms/step
[1m33/75[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m1s[0m 35ms/step
[36m(train_cnn_ray_tune pid=1363062)[0m 
[1m35/75[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m1s[0m 35ms/step
[1m37/75[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m1s[0m 35ms/step
[36m(train_cnn_ray_tune pid=1363062)[0m 
[1m40/75[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m1s[0m 34ms/step
[1m42/75[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m1s[0m 34ms/step
[36m(train_cnn_ray_tune pid=1363062)[0m 
[1m45/75[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m0s[0m 33ms/step
[36m(train_cnn_ray_tune pid=1363062)[0m 
[1m47/75[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m0s[0m 33ms/step
[36m(train_cnn_ray_tune pid=1363062)[0m 
[1m49/75[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m0s[0m 33ms/step
[36m(train_cnn_ray_tune pid=1363077)[0m 
[1m 36/547[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m35s[0m 69ms/step - accuracy: 0.2613 - loss: 2.1224
[1m 37/547[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m35s[0m 69ms/step - accuracy: 0.2614 - loss: 2.1223
[1m 38/547[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m34s[0m 69ms/step - accuracy: 0.2614 - loss: 2.1224
[36m(train_cnn_ray_tune pid=1363062)[0m 
[1m52/75[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m0s[0m 32ms/step
[36m(train_cnn_ray_tune pid=1363062)[0m 
[1m54/75[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m0s[0m 32ms/step
[1m56/75[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m0s[0m 32ms/step
[36m(train_cnn_ray_tune pid=1363101)[0m 
[1m212/547[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m20s[0m 61ms/step - accuracy: 0.3488 - loss: 1.9005[32m [repeated 75x across cluster][0m
[36m(train_cnn_ray_tune pid=1363077)[0m 
[1m 39/547[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m34s[0m 68ms/step - accuracy: 0.2614 - loss: 2.1225
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[36m(train_cnn_ray_tune pid=1363062)[0m 
[1m58/75[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m0s[0m 32ms/step
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[36m(train_cnn_ray_tune pid=1363062)[0m 
[1m62/75[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m0s[0m 32ms/step
[36m(train_cnn_ray_tune pid=1363062)[0m 
[1m64/75[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m0s[0m 32ms/step
[36m(train_cnn_ray_tune pid=1363103)[0m 
[1m 608/1093[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m40s[0m 83ms/step - accuracy: 0.4746 - loss: 1.3904
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363062)[0m 
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[36m(train_cnn_ray_tune pid=1363062)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363062)[0m 
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[36m(train_cnn_ray_tune pid=1363062)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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Trial status: 18 RUNNING | 2 TERMINATED
Current time: 2025-11-08 18:23:17. Total running time: 6min 31s
Logical resource usage: 18.0/20 CPUs, 0/1 GPUs (0.0/1.0 accelerator_type:G)
[36m(train_cnn_ray_tune pid=1363062)[0m 
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╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name     status         N_capas   optimizador     funcion_activacion       tamanho_minilote     numero_filtros     tamanho_filtro     num_resblocks     tasa_aprendizaje     epochs     iter     total time (s)     val_accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ trial_b4529    RUNNING              2   adam            tanh                                   16                 96                  5                 1          0.00438546          17                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   16                 64                  5                 1          0.00499828          23                                              │
│ trial_b4529    RUNNING              3   rmsprop         relu                                   32                 32                  5                 1          0.000492984         27                                              │
│ trial_b4529    RUNNING              3   adam            tanh                                   32                 32                  3                 0          3.58603e-05         27                                              │
│ trial_b4529    RUNNING              2   adam            tanh                                   16                 32                  3                 0          0.00499085          23                                              │
│ trial_b4529    RUNNING              2   rmsprop         tanh                                   16                 64                  5                 1          0.00024729          19                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   16                 96                  5                 0          0.000114875         22                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   32                 32                  3                 0          0.000134897         21                                              │
│ trial_b4529    RUNNING              3   adam            relu                                   32                 32                  3                 0          0.000235024         27                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   32                 32                  5                 1          1.79994e-05         28                                              │
│ trial_b4529    RUNNING              3   rmsprop         relu                                   16                 64                  3                 1          4.24056e-05         16                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   32                 32                  3                 0          1.01166e-05         29                                              │
│ trial_b4529    RUNNING              3   adam            tanh                                   16                 64                  3                 0          0.000419667         20                                              │
│ trial_b4529    RUNNING              3   rmsprop         relu                                   32                 64                  3                 0          0.00199625          25                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   16                 96                  3                 1          1.51945e-05         28                                              │
│ trial_b4529    RUNNING              2   rmsprop         relu                                   16                 96                  5                 0          0.00195981          26                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   16                 96                  3                 0          3.04652e-05         25                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   32                 32                  5                 0          1.67679e-05         25                                              │
│ trial_b4529    TERMINATED           2   rmsprop         tanh                                   32                 64                  5                 0          0.00159181          26        1            330.548         0.429447 │
│ trial_b4529    TERMINATED           2   rmsprop         relu                                   32                 96                  5                 1          0.000352068         23        1            376.99          0.418577 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363062)[0m 
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[36m(train_cnn_ray_tune pid=1363062)[0m 
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[36m(train_cnn_ray_tune pid=1363062)[0m 
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[36m(train_cnn_ray_tune pid=1363062)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363062)[0m 
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[36m(train_cnn_ray_tune pid=1363062)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363062)[0m 
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[36m(train_cnn_ray_tune pid=1363062)[0m 
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[36m(train_cnn_ray_tune pid=1363062)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363062)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363062)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363062)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363062)[0m 
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[36m(train_cnn_ray_tune pid=1363062)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m Epoch 9/28[32m [repeated 2x across cluster][0m
[36m(train_cnn_ray_tune pid=1363062)[0m 
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[36m(train_cnn_ray_tune pid=1363062)[0m 
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[36m(train_cnn_ray_tune pid=1363062)[0m 
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[36m(train_cnn_ray_tune pid=1363062)[0m 
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[36m(train_cnn_ray_tune pid=1363062)[0m 
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[36m(train_cnn_ray_tune pid=1363062)[0m 
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[36m(train_cnn_ray_tune pid=1363062)[0m 
[1m 94/159[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m2s[0m 35ms/step
[36m(train_cnn_ray_tune pid=1363062)[0m 
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[36m(train_cnn_ray_tune pid=1363062)[0m 
[1m 97/159[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m2s[0m 35ms/step
[1m100/159[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m2s[0m 35ms/step
[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363062)[0m 
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[36m(train_cnn_ray_tune pid=1363062)[0m 
[1m107/159[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m1s[0m 34ms/step
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[36m(train_cnn_ray_tune pid=1363062)[0m 
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[36m(train_cnn_ray_tune pid=1363062)[0m 
[1m114/159[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m1s[0m 34ms/step
[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363062)[0m /home/simur/git/uniovi-simur-wearablepermed-ml/.venv/lib/python3.12/site-packages/ray/train/_internal/session.py:772: RayDeprecationWarning: `ray.train.report` should be switched to `ray.tune.report` when running in a function passed to Ray Tune. This will be an error in the future. See this issue for more context: https://github.com/ray-project/ray/issues/49454
[36m(train_cnn_ray_tune pid=1363062)[0m   _log_deprecation_warning(
[36m(train_cnn_ray_tune pid=1363062)[0m 
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[36m(train_cnn_ray_tune pid=1363062)[0m 
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[36m(train_cnn_ray_tune pid=1363062)[0m 
[1m122/159[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m1s[0m 34ms/step
[36m(train_cnn_ray_tune pid=1363104)[0m 
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[36m(train_cnn_ray_tune pid=1363062)[0m 
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[36m(train_cnn_ray_tune pid=1363062)[0m 
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[36m(train_cnn_ray_tune pid=1363062)[0m 
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[36m(train_cnn_ray_tune pid=1363062)[0m 
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[36m(train_cnn_ray_tune pid=1363062)[0m 
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[36m(train_cnn_ray_tune pid=1363062)[0m 
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[36m(train_cnn_ray_tune pid=1363062)[0m 
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[36m(train_cnn_ray_tune pid=1363062)[0m 
[1m148/159[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m0s[0m 33ms/step
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[36m(train_cnn_ray_tune pid=1363062)[0m 
[1m152/159[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m0s[0m 33ms/step
[1m153/159[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m0s[0m 34ms/step
[36m(train_cnn_ray_tune pid=1363105)[0m 
[1m 967/1093[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m13s[0m 110ms/step - accuracy: 0.4880 - loss: 1.5594[32m [repeated 114x across cluster][0m
[36m(train_cnn_ray_tune pid=1363062)[0m 
[1m155/159[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m0s[0m 34ms/step
[36m(train_cnn_ray_tune pid=1363062)[0m 
[1m157/159[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m0s[0m 34ms/step
[36m(train_cnn_ray_tune pid=1363062)[0m 
[1m159/159[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 34ms/step
[1m159/159[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m6s[0m 34ms/step

Trial trial_b4529 finished iteration 1 at 2025-11-08 18:23:22. Total running time: 6min 36s
╭──────────────────────────────────────╮
│ Trial trial_b4529 result             │
├──────────────────────────────────────┤
│ checkpoint_dir_name                  │
│ time_this_iter_s             393.446 │
│ time_total_s                 393.446 │
│ training_iteration                 1 │
│ val_accuracy                 0.41364 │
╰──────────────────────────────────────╯

Trial trial_b4529 completed after 1 iterations at 2025-11-08 18:23:22. Total running time: 6min 36s
[36m(train_cnn_ray_tune pid=1363104)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
[1m  68/1093[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m1:39[0m 97ms/step - accuracy: 0.4809 - loss: 1.6024
[1m  69/1093[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m1:39[0m 98ms/step - accuracy: 0.4808 - loss: 1.6024[32m [repeated 20x across cluster][0m
[36m(train_cnn_ray_tune pid=1363093)[0m 
[1m547/547[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 85ms/step - accuracy: 0.6310 - loss: 0.9498[32m [repeated 17x across cluster][0m
[36m(train_cnn_ray_tune pid=1363093)[0m 
[1m545/547[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m0s[0m 85ms/step - accuracy: 0.6310 - loss: 0.9497
[1m546/547[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m0s[0m 85ms/step - accuracy: 0.6310 - loss: 0.9497[32m [repeated 3x across cluster][0m
[36m(train_cnn_ray_tune pid=1363104)[0m Epoch 9/27
[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
[1m 286/1093[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m38s[0m 47ms/step - accuracy: 0.3807 - loss: 1.6808[32m [repeated 230x across cluster][0m
[36m(train_cnn_ray_tune pid=1363106)[0m 
[1m  1/547[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m5:32:49[0m 37s/step - accuracy: 0.5312 - loss: 1.1833
[36m(train_cnn_ray_tune pid=1363061)[0m 
[1m 168/1093[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m1:24[0m 91ms/step - accuracy: 0.3741 - loss: 1.8783[32m [repeated 101x across cluster][0m
[36m(train_cnn_ray_tune pid=1363093)[0m 
[1m547/547[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m53s[0m 97ms/step - accuracy: 0.6310 - loss: 0.9498 - val_accuracy: 0.4686 - val_loss: 1.8310
[36m(train_cnn_ray_tune pid=1363093)[0m Epoch 8/25
[36m(train_cnn_ray_tune pid=1363093)[0m 
[1m  1/547[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m1:53[0m 208ms/step - accuracy: 0.6562 - loss: 1.1722
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[36m(train_cnn_ray_tune pid=1363091)[0m 
[1m 117/1093[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m1:33[0m 96ms/step - accuracy: 0.4781 - loss: 1.6036
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
[1m399/547[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m9s[0m 66ms/step - accuracy: 0.3515 - loss: 1.8884
[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363049)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363049)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m Epoch 9/27
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
[1m297/547[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m15s[0m 63ms/step - accuracy: 0.5264 - loss: 1.3582
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[1m 987/1093[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m8s[0m 82ms/step - accuracy: 0.4726 - loss: 1.3936[32m [repeated 30x across cluster][0m
[36m(train_cnn_ray_tune pid=1363095)[0m 
[1m 721/1093[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m17s[0m 46ms/step - accuracy: 0.3740 - loss: 1.6805
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[36m(train_cnn_ray_tune pid=1363095)[0m 
[1m 725/1093[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m17s[0m 46ms/step - accuracy: 0.3740 - loss: 1.6805[32m [repeated 108x across cluster][0m

Trial status: 17 RUNNING | 3 TERMINATED
Current time: 2025-11-08 18:23:47. Total running time: 7min 1s
Logical resource usage: 17.0/20 CPUs, 0/1 GPUs (0.0/1.0 accelerator_type:G)
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name     status         N_capas   optimizador     funcion_activacion       tamanho_minilote     numero_filtros     tamanho_filtro     num_resblocks     tasa_aprendizaje     epochs     iter     total time (s)     val_accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ trial_b4529    RUNNING              2   adam            tanh                                   16                 96                  5                 1          0.00438546          17                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   16                 64                  5                 1          0.00499828          23                                              │
│ trial_b4529    RUNNING              3   adam            tanh                                   32                 32                  3                 0          3.58603e-05         27                                              │
│ trial_b4529    RUNNING              2   adam            tanh                                   16                 32                  3                 0          0.00499085          23                                              │
│ trial_b4529    RUNNING              2   rmsprop         tanh                                   16                 64                  5                 1          0.00024729          19                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   16                 96                  5                 0          0.000114875         22                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   32                 32                  3                 0          0.000134897         21                                              │
│ trial_b4529    RUNNING              3   adam            relu                                   32                 32                  3                 0          0.000235024         27                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   32                 32                  5                 1          1.79994e-05         28                                              │
│ trial_b4529    RUNNING              3   rmsprop         relu                                   16                 64                  3                 1          4.24056e-05         16                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   32                 32                  3                 0          1.01166e-05         29                                              │
│ trial_b4529    RUNNING              3   adam            tanh                                   16                 64                  3                 0          0.000419667         20                                              │
│ trial_b4529    RUNNING              3   rmsprop         relu                                   32                 64                  3                 0          0.00199625          25                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   16                 96                  3                 1          1.51945e-05         28                                              │
│ trial_b4529    RUNNING              2   rmsprop         relu                                   16                 96                  5                 0          0.00195981          26                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   16                 96                  3                 0          3.04652e-05         25                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   32                 32                  5                 0          1.67679e-05         25                                              │
│ trial_b4529    TERMINATED           3   rmsprop         relu                                   32                 32                  5                 1          0.000492984         27        1            393.446         0.413636 │
│ trial_b4529    TERMINATED           2   rmsprop         tanh                                   32                 64                  5                 0          0.00159181          26        1            330.548         0.429447 │
│ trial_b4529    TERMINATED           2   rmsprop         relu                                   32                 96                  5                 1          0.000352068         23        1            376.99          0.418577 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
[36m(train_cnn_ray_tune pid=1363061)[0m 
[1m 401/1093[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m1:01[0m 89ms/step - accuracy: 0.3776 - loss: 1.8640[32m [repeated 66x across cluster][0m
[36m(train_cnn_ray_tune pid=1363091)[0m 
[1m 355/1093[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m1:06[0m 90ms/step - accuracy: 0.4687 - loss: 1.6148
[1m 356/1093[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m1:06[0m 90ms/step - accuracy: 0.4687 - loss: 1.6148[32m [repeated 35x across cluster][0m
[36m(train_cnn_ray_tune pid=1363049)[0m 
[1m1093/1093[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m83s[0m 75ms/step - accuracy: 0.2808 - loss: 1.9295 - val_accuracy: 0.2739 - val_loss: 1.9458
[36m(train_cnn_ray_tune pid=1363049)[0m 
[1m   1/1093[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m2:35[0m 143ms/step - accuracy: 0.3750 - loss: 1.7142
[1m   2/1093[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m1:25[0m 79ms/step - accuracy: 0.3594 - loss: 1.9032 
[36m(train_cnn_ray_tune pid=1363107)[0m 
[1m464/547[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m5s[0m 68ms/step - accuracy: 0.2863 - loss: 2.1137[32m [repeated 58x across cluster][0m
[36m(train_cnn_ray_tune pid=1363049)[0m Epoch 5/17
[36m(train_cnn_ray_tune pid=1363104)[0m 
[1m423/547[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m8s[0m 67ms/step - accuracy: 0.5791 - loss: 1.1542
[1m424/547[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m8s[0m 67ms/step - accuracy: 0.5791 - loss: 1.1541[32m [repeated 55x across cluster][0m
[36m(train_cnn_ray_tune pid=1363068)[0m Epoch 5/16
[36m(train_cnn_ray_tune pid=1363094)[0m 
[1m1085/1093[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m0s[0m 63ms/step - accuracy: 0.5572 - loss: 1.1702[32m [repeated 103x across cluster][0m
[36m(train_cnn_ray_tune pid=1363068)[0m 
[1m   1/1093[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m2:56[0m 162ms/step - accuracy: 0.4375 - loss: 1.4901
[36m(train_cnn_ray_tune pid=1363068)[0m 
[1m   2/1093[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m1:50[0m 101ms/step - accuracy: 0.4844 - loss: 1.5114
[1m   3/1093[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m1:30[0m 83ms/step - accuracy: 0.4965 - loss: 1.5004 
[36m(train_cnn_ray_tune pid=1363105)[0m 
[1m1093/1093[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m135s[0m 123ms/step - accuracy: 0.4882 - loss: 1.5584 - val_accuracy: 0.3241 - val_loss: 2.0528
[36m(train_cnn_ray_tune pid=1363105)[0m 
[1m   2/1093[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m1:42[0m 93ms/step - accuracy: 0.6719 - loss: 1.2067 
[36m(train_cnn_ray_tune pid=1363101)[0m 
[1m109/547[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m25s[0m 58ms/step - accuracy: 0.3510 - loss: 1.8302[32m [repeated 103x across cluster][0m
[36m(train_cnn_ray_tune pid=1363093)[0m 
[1m292/547[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m19s[0m 78ms/step - accuracy: 0.6524 - loss: 0.8987
[1m293/547[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m19s[0m 78ms/step - accuracy: 0.6524 - loss: 0.8987[32m [repeated 66x across cluster][0m
[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
[1m 849/1093[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m11s[0m 45ms/step - accuracy: 0.3727 - loss: 1.6817
[1m 850/1093[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m11s[0m 45ms/step - accuracy: 0.3727 - loss: 1.6817[32m [repeated 25x across cluster][0m
[36m(train_cnn_ray_tune pid=1363061)[0m 
[1m 445/1093[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m56s[0m 88ms/step - accuracy: 0.3780 - loss: 1.8621[32m [repeated 50x across cluster][0m
[36m(train_cnn_ray_tune pid=1363075)[0m 
[1m547/547[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m42s[0m 76ms/step - accuracy: 0.2677 - loss: 2.1677 - val_accuracy: 0.2796 - val_loss: 2.0718
[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363049)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m Epoch 10/29[32m [repeated 2x across cluster][0m
[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363049)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363049)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m Epoch 10/28[32m [repeated 3x across cluster][0m
[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363049)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363104)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363104)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m Epoch 5/20[32m [repeated 4x across cluster][0m
[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m Epoch 8/23[32m [repeated 2x across cluster][0m
[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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Trial status: 17 RUNNING | 3 TERMINATED
Current time: 2025-11-08 18:24:17. Total running time: 7min 31s
Logical resource usage: 17.0/20 CPUs, 0/1 GPUs (0.0/1.0 accelerator_type:G)
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name     status         N_capas   optimizador     funcion_activacion       tamanho_minilote     numero_filtros     tamanho_filtro     num_resblocks     tasa_aprendizaje     epochs     iter     total time (s)     val_accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ trial_b4529    RUNNING              2   adam            tanh                                   16                 96                  5                 1          0.00438546          17                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   16                 64                  5                 1          0.00499828          23                                              │
│ trial_b4529    RUNNING              3   adam            tanh                                   32                 32                  3                 0          3.58603e-05         27                                              │
│ trial_b4529    RUNNING              2   adam            tanh                                   16                 32                  3                 0          0.00499085          23                                              │
│ trial_b4529    RUNNING              2   rmsprop         tanh                                   16                 64                  5                 1          0.00024729          19                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   16                 96                  5                 0          0.000114875         22                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   32                 32                  3                 0          0.000134897         21                                              │
│ trial_b4529    RUNNING              3   adam            relu                                   32                 32                  3                 0          0.000235024         27                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   32                 32                  5                 1          1.79994e-05         28                                              │
│ trial_b4529    RUNNING              3   rmsprop         relu                                   16                 64                  3                 1          4.24056e-05         16                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   32                 32                  3                 0          1.01166e-05         29                                              │
│ trial_b4529    RUNNING              3   adam            tanh                                   16                 64                  3                 0          0.000419667         20                                              │
│ trial_b4529    RUNNING              3   rmsprop         relu                                   32                 64                  3                 0          0.00199625          25                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   16                 96                  3                 1          1.51945e-05         28                                              │
│ trial_b4529    RUNNING              2   rmsprop         relu                                   16                 96                  5                 0          0.00195981          26                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   16                 96                  3                 0          3.04652e-05         25                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   32                 32                  5                 0          1.67679e-05         25                                              │
│ trial_b4529    TERMINATED           3   rmsprop         relu                                   32                 32                  5                 1          0.000492984         27        1            393.446         0.413636 │
│ trial_b4529    TERMINATED           2   rmsprop         tanh                                   32                 64                  5                 0          0.00159181          26        1            330.548         0.429447 │
│ trial_b4529    TERMINATED           2   rmsprop         relu                                   32                 96                  5                 1          0.000352068         23        1            376.99          0.418577 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m Epoch 9/25
[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363104)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363049)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m Epoch 10/27
[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363104)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m Epoch 11/29
[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363104)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
[1m 995/1093[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m8s[0m 90ms/step - accuracy: 0.3821 - loss: 1.8456
[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
[1m547/547[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m46s[0m 84ms/step - accuracy: 0.2963 - loss: 2.0810 - val_accuracy: 0.2421 - val_loss: 2.1506
[36m(train_cnn_ray_tune pid=1363077)[0m Epoch 11/25
[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
[1m  1/547[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m1:48[0m 198ms/step - accuracy: 0.3125 - loss: 1.9817
[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363049)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m Epoch 11/28
[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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Trial status: 17 RUNNING | 3 TERMINATED
Current time: 2025-11-08 18:24:47. Total running time: 8min 1s
Logical resource usage: 17.0/20 CPUs, 0/1 GPUs (0.0/1.0 accelerator_type:G)
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name     status         N_capas   optimizador     funcion_activacion       tamanho_minilote     numero_filtros     tamanho_filtro     num_resblocks     tasa_aprendizaje     epochs     iter     total time (s)     val_accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ trial_b4529    RUNNING              2   adam            tanh                                   16                 96                  5                 1          0.00438546          17                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   16                 64                  5                 1          0.00499828          23                                              │
│ trial_b4529    RUNNING              3   adam            tanh                                   32                 32                  3                 0          3.58603e-05         27                                              │
│ trial_b4529    RUNNING              2   adam            tanh                                   16                 32                  3                 0          0.00499085          23                                              │
│ trial_b4529    RUNNING              2   rmsprop         tanh                                   16                 64                  5                 1          0.00024729          19                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   16                 96                  5                 0          0.000114875         22                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   32                 32                  3                 0          0.000134897         21                                              │
│ trial_b4529    RUNNING              3   adam            relu                                   32                 32                  3                 0          0.000235024         27                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   32                 32                  5                 1          1.79994e-05         28                                              │
│ trial_b4529    RUNNING              3   rmsprop         relu                                   16                 64                  3                 1          4.24056e-05         16                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   32                 32                  3                 0          1.01166e-05         29                                              │
│ trial_b4529    RUNNING              3   adam            tanh                                   16                 64                  3                 0          0.000419667         20                                              │
│ trial_b4529    RUNNING              3   rmsprop         relu                                   32                 64                  3                 0          0.00199625          25                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   16                 96                  3                 1          1.51945e-05         28                                              │
│ trial_b4529    RUNNING              2   rmsprop         relu                                   16                 96                  5                 0          0.00195981          26                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   16                 96                  3                 0          3.04652e-05         25                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   32                 32                  5                 0          1.67679e-05         25                                              │
│ trial_b4529    TERMINATED           3   rmsprop         relu                                   32                 32                  5                 1          0.000492984         27        1            393.446         0.413636 │
│ trial_b4529    TERMINATED           2   rmsprop         tanh                                   32                 64                  5                 0          0.00159181          26        1            330.548         0.429447 │
│ trial_b4529    TERMINATED           2   rmsprop         relu                                   32                 96                  5                 1          0.000352068         23        1            376.99          0.418577 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
[1m 575/1093[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m51s[0m 100ms/step - accuracy: 0.5719 - loss: 1.3336[32m [repeated 50x across cluster][0m
[36m(train_cnn_ray_tune pid=1363104)[0m 
[1m547/547[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m46s[0m 84ms/step - accuracy: 0.6070 - loss: 1.0729 - val_accuracy: 0.4322 - val_loss: 1.7332
[36m(train_cnn_ray_tune pid=1363106)[0m Epoch 10/21
[36m(train_cnn_ray_tune pid=1363106)[0m 
[1m  1/547[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m1:32[0m 170ms/step - accuracy: 0.7188 - loss: 1.0632
[1m  2/547[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m31s[0m 57ms/step - accuracy: 0.6719 - loss: 1.1364  
[36m(train_cnn_ray_tune pid=1363104)[0m 
[1m 1/75[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m49s[0m 666ms/step
[36m(train_cnn_ray_tune pid=1363104)[0m 
[1m 3/75[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m2s[0m 35ms/step  
[1m 5/75[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m2s[0m 35ms/step
[36m(train_cnn_ray_tune pid=1363104)[0m 
[1m 7/75[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m2s[0m 33ms/step
[1m 9/75[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m2s[0m 32ms/step
[36m(train_cnn_ray_tune pid=1363104)[0m 
[1m12/75[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m1s[0m 30ms/step
[1m14/75[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m1s[0m 29ms/step
[36m(train_cnn_ray_tune pid=1363104)[0m 
[1m17/75[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m1s[0m 28ms/step
[36m(train_cnn_ray_tune pid=1363105)[0m 
[1m 577/1093[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m51s[0m 100ms/step - accuracy: 0.5718 - loss: 1.3336
[1m 578/1093[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m51s[0m 100ms/step - accuracy: 0.5718 - loss: 1.3336
[36m(train_cnn_ray_tune pid=1363104)[0m 
[1m21/75[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m1s[0m 25ms/step
[1m24/75[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m1s[0m 24ms/step
[36m(train_cnn_ray_tune pid=1363107)[0m 
[1m 49/547[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m37s[0m 75ms/step - accuracy: 0.2947 - loss: 2.0385
[1m 50/547[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m37s[0m 75ms/step - accuracy: 0.2949 - loss: 2.0383
[1m 51/547[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m36s[0m 74ms/step - accuracy: 0.2951 - loss: 2.0381
[36m(train_cnn_ray_tune pid=1363104)[0m 
[1m27/75[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m1s[0m 24ms/step
[1m29/75[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m1s[0m 25ms/step
[36m(train_cnn_ray_tune pid=1363104)[0m 
[1m31/75[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m1s[0m 25ms/step
[1m32/75[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m1s[0m 26ms/step
[36m(train_cnn_ray_tune pid=1363104)[0m 
[1m33/75[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m1s[0m 27ms/step
[36m(train_cnn_ray_tune pid=1363104)[0m 
[1m34/75[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m1s[0m 28ms/step
[36m(train_cnn_ray_tune pid=1363104)[0m 
[1m36/75[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m1s[0m 29ms/step
[36m(train_cnn_ray_tune pid=1363104)[0m 
[1m38/75[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m1s[0m 29ms/step
[1m41/75[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m0s[0m 28ms/step
[36m(train_cnn_ray_tune pid=1363104)[0m 
[1m44/75[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m0s[0m 28ms/step
[36m(train_cnn_ray_tune pid=1363091)[0m 
[1m1013/1093[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m7s[0m 92ms/step - accuracy: 0.4685 - loss: 1.6051[32m [repeated 32x across cluster][0m
[36m(train_cnn_ray_tune pid=1363104)[0m 
[1m46/75[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m0s[0m 29ms/step
[1m48/75[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m0s[0m 29ms/step
[36m(train_cnn_ray_tune pid=1363104)[0m 
[1m50/75[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m0s[0m 29ms/step
[1m52/75[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m0s[0m 29ms/step
[36m(train_cnn_ray_tune pid=1363104)[0m 
[1m54/75[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m0s[0m 29ms/step
[36m(train_cnn_ray_tune pid=1363104)[0m 
[1m57/75[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m0s[0m 29ms/step
[36m(train_cnn_ray_tune pid=1363104)[0m 
[1m59/75[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m0s[0m 29ms/step
[36m(train_cnn_ray_tune pid=1363105)[0m 
[1m 601/1093[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m49s[0m 100ms/step - accuracy: 0.5717 - loss: 1.3337
[1m 602/1093[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m49s[0m 100ms/step - accuracy: 0.5717 - loss: 1.3337
[36m(train_cnn_ray_tune pid=1363104)[0m 
[1m62/75[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m0s[0m 29ms/step
[36m(train_cnn_ray_tune pid=1363104)[0m 
[1m65/75[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m0s[0m 28ms/step
[1m68/75[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m0s[0m 28ms/step
[36m(train_cnn_ray_tune pid=1363105)[0m 
[1m 604/1093[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m48s[0m 100ms/step - accuracy: 0.5716 - loss: 1.3337
[1m 605/1093[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m48s[0m 100ms/step - accuracy: 0.5716 - loss: 1.3337
[36m(train_cnn_ray_tune pid=1363104)[0m 
[1m71/75[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m0s[0m 28ms/step
[1m74/75[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m0s[0m 28ms/step
[36m(train_cnn_ray_tune pid=1363091)[0m 
[1m1021/1093[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m6s[0m 92ms/step - accuracy: 0.4685 - loss: 1.6050
[1m1022/1093[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m6s[0m 92ms/step - accuracy: 0.4685 - loss: 1.6050[32m [repeated 14x across cluster][0m
[36m(train_cnn_ray_tune pid=1363105)[0m 
[1m 607/1093[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m48s[0m 100ms/step - accuracy: 0.5716 - loss: 1.3337
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[36m(train_cnn_ray_tune pid=1363077)[0m 
[1m139/547[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m28s[0m 70ms/step - accuracy: 0.3022 - loss: 2.0474[32m [repeated 126x across cluster][0m
[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363104)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363104)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363104)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363104)[0m 
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[36m(train_cnn_ray_tune pid=1363104)[0m 
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[36m(train_cnn_ray_tune pid=1363104)[0m 
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[36m(train_cnn_ray_tune pid=1363049)[0m 
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[36m(train_cnn_ray_tune pid=1363104)[0m 
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[36m(train_cnn_ray_tune pid=1363104)[0m 
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[36m(train_cnn_ray_tune pid=1363104)[0m 
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[36m(train_cnn_ray_tune pid=1363104)[0m 
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[36m(train_cnn_ray_tune pid=1363104)[0m 
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[36m(train_cnn_ray_tune pid=1363104)[0m 
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[36m(train_cnn_ray_tune pid=1363104)[0m 
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[36m(train_cnn_ray_tune pid=1363104)[0m 
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[36m(train_cnn_ray_tune pid=1363104)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363104)[0m 
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[36m(train_cnn_ray_tune pid=1363104)[0m 
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[36m(train_cnn_ray_tune pid=1363104)[0m 
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[36m(train_cnn_ray_tune pid=1363104)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363104)[0m 
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[36m(train_cnn_ray_tune pid=1363104)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363104)[0m 
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[36m(train_cnn_ray_tune pid=1363104)[0m   _log_deprecation_warning(

[36m(train_cnn_ray_tune pid=1363104)[0m 
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[36m(train_cnn_ray_tune pid=1363104)[0m 
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[36m(train_cnn_ray_tune pid=1363104)[0m 
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[36m(train_cnn_ray_tune pid=1363104)[0m 
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[36m(train_cnn_ray_tune pid=1363104)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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Trial trial_b4529 finished iteration 1 at 2025-11-08 18:24:58. Total running time: 8min 12s
╭──────────────────────────────────────╮
│ Trial trial_b4529 result             │
├──────────────────────────────────────┤
│ checkpoint_dir_name                  │
│ time_this_iter_s             489.257 │
│ time_total_s                 489.257 │
│ training_iteration                 1 │
│ val_accuracy                 0.43221 │
╰──────────────────────────────────────╯

Trial trial_b4529 completed after 1 iterations at 2025-11-08 18:24:58. Total running time: 8min 12s
[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m Epoch 5/28
[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363049)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m Epoch 8/19[32m [repeated 5x across cluster][0m
[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363049)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363049)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m Epoch 5/25
[36m(train_cnn_ray_tune pid=1363075)[0m 
[1m  1/547[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m5:49:46[0m 38s/step - accuracy: 0.2500 - loss: 2.2164[32m [repeated 2x across cluster][0m
[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
[1m1093/1093[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m77s[0m 71ms/step - accuracy: 0.6121 - loss: 1.0503 - val_accuracy: 0.4453 - val_loss: 1.8542
[36m(train_cnn_ray_tune pid=1363094)[0m Epoch 7/26
[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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Trial status: 16 RUNNING | 4 TERMINATED
Current time: 2025-11-08 18:25:17. Total running time: 8min 31s
Logical resource usage: 16.0/20 CPUs, 0/1 GPUs (0.0/1.0 accelerator_type:G)
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name     status         N_capas   optimizador     funcion_activacion       tamanho_minilote     numero_filtros     tamanho_filtro     num_resblocks     tasa_aprendizaje     epochs     iter     total time (s)     val_accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ trial_b4529    RUNNING              2   adam            tanh                                   16                 96                  5                 1          0.00438546          17                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   16                 64                  5                 1          0.00499828          23                                              │
│ trial_b4529    RUNNING              3   adam            tanh                                   32                 32                  3                 0          3.58603e-05         27                                              │
│ trial_b4529    RUNNING              2   adam            tanh                                   16                 32                  3                 0          0.00499085          23                                              │
│ trial_b4529    RUNNING              2   rmsprop         tanh                                   16                 64                  5                 1          0.00024729          19                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   16                 96                  5                 0          0.000114875         22                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   32                 32                  3                 0          0.000134897         21                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   32                 32                  5                 1          1.79994e-05         28                                              │
│ trial_b4529    RUNNING              3   rmsprop         relu                                   16                 64                  3                 1          4.24056e-05         16                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   32                 32                  3                 0          1.01166e-05         29                                              │
│ trial_b4529    RUNNING              3   adam            tanh                                   16                 64                  3                 0          0.000419667         20                                              │
│ trial_b4529    RUNNING              3   rmsprop         relu                                   32                 64                  3                 0          0.00199625          25                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   16                 96                  3                 1          1.51945e-05         28                                              │
│ trial_b4529    RUNNING              2   rmsprop         relu                                   16                 96                  5                 0          0.00195981          26                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   16                 96                  3                 0          3.04652e-05         25                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   32                 32                  5                 0          1.67679e-05         25                                              │
│ trial_b4529    TERMINATED           3   rmsprop         relu                                   32                 32                  5                 1          0.000492984         27        1            393.446         0.413636 │
│ trial_b4529    TERMINATED           2   rmsprop         tanh                                   32                 64                  5                 0          0.00159181          26        1            330.548         0.429447 │
│ trial_b4529    TERMINATED           3   adam            relu                                   32                 32                  3                 0          0.000235024         27        1            489.257         0.432213 │
│ trial_b4529    TERMINATED           2   rmsprop         relu                                   32                 96                  5                 1          0.000352068         23        1            376.99          0.418577 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[1m185/547[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m27s[0m 75ms/step - accuracy: 0.6960 - loss: 0.8018[32m [repeated 56x across cluster][0m
[36m(train_cnn_ray_tune pid=1363077)[0m 
[1m547/547[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m40s[0m 73ms/step - accuracy: 0.3086 - loss: 2.0434 - val_accuracy: 0.2498 - val_loss: 2.1397
[36m(train_cnn_ray_tune pid=1363077)[0m Epoch 12/25
[36m(train_cnn_ray_tune pid=1363095)[0m 
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[1m 343/1093[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m32s[0m 43ms/step - accuracy: 0.3689 - loss: 1.7178[32m [repeated 76x across cluster][0m
[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
[1m  1/547[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m1:13[0m 135ms/step - accuracy: 0.3438 - loss: 2.2426
[36m(train_cnn_ray_tune pid=1363077)[0m 
[1m  2/547[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m38s[0m 71ms/step - accuracy: 0.3672 - loss: 2.1338  
[1m  3/547[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m36s[0m 67ms/step - accuracy: 0.3767 - loss: 2.0890
[1m  4/547[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m34s[0m 63ms/step - accuracy: 0.3724 - loss: 2.0678
[36m(train_cnn_ray_tune pid=1363068)[0m 
[1m1093/1093[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m93s[0m 85ms/step - accuracy: 0.3985 - loss: 1.6822 - val_accuracy: 0.3186 - val_loss: 1.7835
[36m(train_cnn_ray_tune pid=1363068)[0m 
[1m   2/1093[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m1:18[0m 72ms/step - accuracy: 0.2500 - loss: 1.6740 
[36m(train_cnn_ray_tune pid=1363103)[0m 
[1m1012/1093[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m6s[0m 79ms/step - accuracy: 0.5059 - loss: 1.2929[32m [repeated 55x across cluster][0m
[36m(train_cnn_ray_tune pid=1363103)[0m 
[1m1003/1093[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m7s[0m 79ms/step - accuracy: 0.5059 - loss: 1.2929
[1m1004/1093[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m7s[0m 79ms/step - accuracy: 0.5059 - loss: 1.2929[32m [repeated 16x across cluster][0m
[36m(train_cnn_ray_tune pid=1363091)[0m 
[1m 160/1093[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m1:23[0m 89ms/step - accuracy: 0.5064 - loss: 1.5209
[1m 161/1093[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m1:22[0m 89ms/step - accuracy: 0.5064 - loss: 1.5207[32m [repeated 47x across cluster][0m
[36m(train_cnn_ray_tune pid=1363106)[0m 
[1m538/547[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m0s[0m 60ms/step - accuracy: 0.5640 - loss: 1.2409
[1m539/547[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m0s[0m 60ms/step - accuracy: 0.5640 - loss: 1.2410[32m [repeated 15x across cluster][0m
[36m(train_cnn_ray_tune pid=1363106)[0m 
[1m546/547[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m0s[0m 60ms/step - accuracy: 0.5639 - loss: 1.2411[32m [repeated 17x across cluster][0m
[36m(train_cnn_ray_tune pid=1363091)[0m 
[1m 164/1093[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m1:23[0m 89ms/step - accuracy: 0.5064 - loss: 1.5204[32m [repeated 114x across cluster][0m
[36m(train_cnn_ray_tune pid=1363093)[0m 
[1m248/547[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m22s[0m 76ms/step - accuracy: 0.6953 - loss: 0.7997[32m [repeated 121x across cluster][0m
[36m(train_cnn_ray_tune pid=1363077)[0m 
[1m 67/547[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m34s[0m 72ms/step - accuracy: 0.3480 - loss: 1.9876
[1m 68/547[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m34s[0m 72ms/step - accuracy: 0.3480 - loss: 1.9876[32m [repeated 67x across cluster][0m
[36m(train_cnn_ray_tune pid=1363068)[0m Epoch 6/16
[36m(train_cnn_ray_tune pid=1363094)[0m 
[1m 158/1093[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m59s[0m 63ms/step - accuracy: 0.6465 - loss: 0.9610
[1m 159/1093[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m59s[0m 63ms/step - accuracy: 0.6465 - loss: 0.9608[32m [repeated 55x across cluster][0m
[36m(train_cnn_ray_tune pid=1363095)[0m 
[1m 453/1093[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m27s[0m 43ms/step - accuracy: 0.3679 - loss: 1.7136[32m [repeated 130x across cluster][0m
[36m(train_cnn_ray_tune pid=1363068)[0m 
[1m   1/1093[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m3:17[0m 181ms/step - accuracy: 0.2500 - loss: 1.6552
[36m(train_cnn_ray_tune pid=1363106)[0m 
[1m547/547[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m38s[0m 70ms/step - accuracy: 0.5639 - loss: 1.2411 - val_accuracy: 0.3881 - val_loss: 1.6811
[36m(train_cnn_ray_tune pid=1363106)[0m Epoch 11/21
[36m(train_cnn_ray_tune pid=1363106)[0m 
[1m  1/547[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m1:38[0m 181ms/step - accuracy: 0.7812 - loss: 0.7530
[36m(train_cnn_ray_tune pid=1363105)[0m 
[1m1037/1093[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m5s[0m 95ms/step - accuracy: 0.5685 - loss: 1.3333[32m [repeated 99x across cluster][0m
[36m(train_cnn_ray_tune pid=1363103)[0m 
[1m1074/1093[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m1s[0m 79ms/step - accuracy: 0.5055 - loss: 1.2934
[1m1075/1093[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m1s[0m 79ms/step - accuracy: 0.5055 - loss: 1.2934[32m [repeated 37x across cluster][0m
[36m(train_cnn_ray_tune pid=1363068)[0m 
[1m  83/1093[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m1:19[0m 79ms/step - accuracy: 0.4250 - loss: 1.5585
[1m  84/1093[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m1:19[0m 79ms/step - accuracy: 0.4251 - loss: 1.5585[32m [repeated 47x across cluster][0m
[36m(train_cnn_ray_tune pid=1363091)[0m 
[1m 220/1093[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m1:18[0m 90ms/step - accuracy: 0.5074 - loss: 1.5138[32m [repeated 90x across cluster][0m
[36m(train_cnn_ray_tune pid=1363102)[0m 
[1m 419/1093[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m35s[0m 53ms/step - accuracy: 0.6491 - loss: 1.0043
[1m 420/1093[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m35s[0m 53ms/step - accuracy: 0.6491 - loss: 1.0044
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m Epoch 12/28
[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m Epoch 6/23
[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363049)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m Epoch 6/20
[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
[1m   1/1093[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m3:00[0m 165ms/step - accuracy: 0.6875 - loss: 0.8614
[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
[1m386/547[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m9s[0m 62ms/step - accuracy: 0.3349 - loss: 1.9986 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[1m 939/1093[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m6s[0m 42ms/step - accuracy: 0.3629 - loss: 1.7113
[36m(train_cnn_ray_tune pid=1363101)[0m 
[1m547/547[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m39s[0m 70ms/step - accuracy: 0.4169 - loss: 1.7229 - val_accuracy: 0.3441 - val_loss: 1.8084
[36m(train_cnn_ray_tune pid=1363101)[0m Epoch 12/27
[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
[1m  1/547[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m1:14[0m 137ms/step - accuracy: 0.3750 - loss: 1.9358
[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
[1m 11/547[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m30s[0m 57ms/step - accuracy: 0.4032 - loss: 1.7481[32m [repeated 67x across cluster][0m
[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363049)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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Trial status: 16 RUNNING | 4 TERMINATED
Current time: 2025-11-08 18:25:47. Total running time: 9min 1s
Logical resource usage: 16.0/20 CPUs, 0/1 GPUs (0.0/1.0 accelerator_type:G)
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name     status         N_capas   optimizador     funcion_activacion       tamanho_minilote     numero_filtros     tamanho_filtro     num_resblocks     tasa_aprendizaje     epochs     iter     total time (s)     val_accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ trial_b4529    RUNNING              2   adam            tanh                                   16                 96                  5                 1          0.00438546          17                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   16                 64                  5                 1          0.00499828          23                                              │
│ trial_b4529    RUNNING              3   adam            tanh                                   32                 32                  3                 0          3.58603e-05         27                                              │
│ trial_b4529    RUNNING              2   adam            tanh                                   16                 32                  3                 0          0.00499085          23                                              │
│ trial_b4529    RUNNING              2   rmsprop         tanh                                   16                 64                  5                 1          0.00024729          19                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   16                 96                  5                 0          0.000114875         22                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   32                 32                  3                 0          0.000134897         21                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   32                 32                  5                 1          1.79994e-05         28                                              │
│ trial_b4529    RUNNING              3   rmsprop         relu                                   16                 64                  3                 1          4.24056e-05         16                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   32                 32                  3                 0          1.01166e-05         29                                              │
│ trial_b4529    RUNNING              3   adam            tanh                                   16                 64                  3                 0          0.000419667         20                                              │
│ trial_b4529    RUNNING              3   rmsprop         relu                                   32                 64                  3                 0          0.00199625          25                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   16                 96                  3                 1          1.51945e-05         28                                              │
│ trial_b4529    RUNNING              2   rmsprop         relu                                   16                 96                  5                 0          0.00195981          26                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   16                 96                  3                 0          3.04652e-05         25                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   32                 32                  5                 0          1.67679e-05         25                                              │
│ trial_b4529    TERMINATED           3   rmsprop         relu                                   32                 32                  5                 1          0.000492984         27        1            393.446         0.413636 │
│ trial_b4529    TERMINATED           2   rmsprop         tanh                                   32                 64                  5                 0          0.00159181          26        1            330.548         0.429447 │
│ trial_b4529    TERMINATED           3   adam            relu                                   32                 32                  3                 0          0.000235024         27        1            489.257         0.432213 │
│ trial_b4529    TERMINATED           2   rmsprop         relu                                   32                 96                  5                 1          0.000352068         23        1            376.99          0.418577 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m Epoch 5/22
[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m Epoch 12/29
[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363049)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
[1m55/75[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m0s[0m 36ms/step
[36m(train_cnn_ray_tune pid=1363093)[0m 
[1m56/75[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m0s[0m 36ms/step
[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
[1m72/75[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m0s[0m 36ms/step
[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363049)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
[1m75/75[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 45ms/step
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
[1m 38/159[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m4s[0m 37ms/step
[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
[1m 261/1093[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m1:00[0m 73ms/step - accuracy: 0.5427 - loss: 1.1975
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[36m(train_cnn_ray_tune pid=1363093)[0m 
[1m 46/159[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m4s[0m 38ms/step
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[36m(train_cnn_ray_tune pid=1363093)[0m 
[1m 49/159[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m4s[0m 38ms/step
[36m(train_cnn_ray_tune pid=1363093)[0m 
[1m 51/159[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m4s[0m 37ms/step
[1m 52/159[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m4s[0m 38ms/step
[36m(train_cnn_ray_tune pid=1363103)[0m 
[1m 266/1093[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m1:00[0m 73ms/step - accuracy: 0.5425 - loss: 1.1979[32m [repeated 99x across cluster][0m
[36m(train_cnn_ray_tune pid=1363093)[0m 
[1m 54/159[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m3s[0m 37ms/step
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[36m(train_cnn_ray_tune pid=1363093)[0m 
[1m 58/159[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m3s[0m 37ms/step
[36m(train_cnn_ray_tune pid=1363093)[0m 
[1m 60/159[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m3s[0m 37ms/step
[36m(train_cnn_ray_tune pid=1363093)[0m 
[1m 61/159[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m3s[0m 38ms/step
[1m 63/159[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m3s[0m 38ms/step
[36m(train_cnn_ray_tune pid=1363095)[0m 
[1m1093/1093[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m53s[0m 49ms/step - accuracy: 0.3620 - loss: 1.7112 - val_accuracy: 0.3565 - val_loss: 1.6772
[36m(train_cnn_ray_tune pid=1363095)[0m Epoch 10/23
[36m(train_cnn_ray_tune pid=1363093)[0m 
[1m 64/159[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m3s[0m 38ms/step
[1m 66/159[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m3s[0m 38ms/step
[36m(train_cnn_ray_tune pid=1363095)[0m 
[1m   1/1093[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m2:16[0m 125ms/step - accuracy: 0.2500 - loss: 1.7383
[1m   3/1093[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m42s[0m 39ms/step - accuracy: 0.3160 - loss: 1.7650  
[36m(train_cnn_ray_tune pid=1363093)[0m 
[1m 68/159[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m3s[0m 38ms/step
[36m(train_cnn_ray_tune pid=1363075)[0m 
[1m147/547[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m25s[0m 63ms/step - accuracy: 0.2864 - loss: 2.0834
[1m148/547[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m25s[0m 63ms/step - accuracy: 0.2865 - loss: 2.0832
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[36m(train_cnn_ray_tune pid=1363093)[0m 
[1m 70/159[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m3s[0m 38ms/step
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[36m(train_cnn_ray_tune pid=1363093)[0m 
[1m 74/159[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m3s[0m 38ms/step
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[36m(train_cnn_ray_tune pid=1363093)[0m 
[1m 77/159[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m3s[0m 38ms/step
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[36m(train_cnn_ray_tune pid=1363093)[0m 
[1m 80/159[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m3s[0m 38ms/step
[36m(train_cnn_ray_tune pid=1363093)[0m 
[1m 82/159[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m2s[0m 38ms/step
[1m 84/159[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m2s[0m 38ms/step
[36m(train_cnn_ray_tune pid=1363077)[0m 
[1m547/547[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m40s[0m 72ms/step - accuracy: 0.3314 - loss: 2.0029 - val_accuracy: 0.2547 - val_loss: 2.1310
[36m(train_cnn_ray_tune pid=1363093)[0m 
[1m 86/159[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m2s[0m 37ms/step
[36m(train_cnn_ray_tune pid=1363093)[0m 
[1m 88/159[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m2s[0m 38ms/step
[1m 89/159[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m2s[0m 38ms/step
[36m(train_cnn_ray_tune pid=1363077)[0m 
[1m  1/547[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m1:38[0m 181ms/step - accuracy: 0.4688 - loss: 1.8271
[36m(train_cnn_ray_tune pid=1363093)[0m 
[1m 91/159[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m2s[0m 38ms/step
[1m 93/159[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m2s[0m 38ms/step
[36m(train_cnn_ray_tune pid=1363077)[0m 
[1m  2/547[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m40s[0m 75ms/step - accuracy: 0.4766 - loss: 1.8114  
[1m  3/547[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m38s[0m 72ms/step - accuracy: 0.4740 - loss: 1.7949
[36m(train_cnn_ray_tune pid=1363093)[0m 
[1m 95/159[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m2s[0m 38ms/step
[36m(train_cnn_ray_tune pid=1363093)[0m 
[1m 97/159[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m2s[0m 38ms/step
[36m(train_cnn_ray_tune pid=1363093)[0m 
[1m 99/159[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m2s[0m 38ms/step
[36m(train_cnn_ray_tune pid=1363093)[0m 
[1m101/159[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m2s[0m 38ms/step
[1m103/159[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m2s[0m 38ms/step
[36m(train_cnn_ray_tune pid=1363101)[0m 
[1m241/547[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m19s[0m 65ms/step - accuracy: 0.4116 - loss: 1.7053[32m [repeated 51x across cluster][0m
[36m(train_cnn_ray_tune pid=1363077)[0m 
[1m  8/547[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m37s[0m 70ms/step - accuracy: 0.4302 - loss: 1.8592
[1m  9/547[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m36s[0m 68ms/step - accuracy: 0.4237 - loss: 1.8703[32m [repeated 43x across cluster][0m
[36m(train_cnn_ray_tune pid=1363061)[0m 
[1m 730/1093[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m28s[0m 80ms/step - accuracy: 0.4178 - loss: 1.7430
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363049)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363049)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m /home/simur/git/uniovi-simur-wearablepermed-ml/.venv/lib/python3.12/site-packages/ray/train/_internal/session.py:772: RayDeprecationWarning: `ray.train.report` should be switched to `ray.tune.report` when running in a function passed to Ray Tune. This will be an error in the future. See this issue for more context: https://github.com/ray-project/ray/issues/49454
[36m(train_cnn_ray_tune pid=1363093)[0m   _log_deprecation_warning(
[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363093)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
[1m546/547[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m0s[0m 60ms/step - accuracy: 0.5804 - loss: 1.1830[32m [repeated 4x across cluster][0m
[36m(train_cnn_ray_tune pid=1363093)[0m 
[1m151/159[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m0s[0m 37ms/step
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[36m(train_cnn_ray_tune pid=1363093)[0m 
[1m155/159[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m0s[0m 37ms/step
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[36m(train_cnn_ray_tune pid=1363093)[0m 
[1m159/159[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 37ms/step
[1m159/159[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m6s[0m 37ms/step

Trial trial_b4529 finished iteration 1 at 2025-11-08 18:26:04. Total running time: 9min 18s
╭──────────────────────────────────────╮
│ Trial trial_b4529 result             │
├──────────────────────────────────────┤
│ checkpoint_dir_name                  │
│ time_this_iter_s             555.076 │
│ time_total_s                 555.076 │
│ training_iteration                 1 │
│ val_accuracy                 0.46186 │
╰──────────────────────────────────────╯

Trial trial_b4529 completed after 1 iterations at 2025-11-08 18:26:04. Total running time: 9min 18s
[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
[1m 173/1093[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m1:25[0m 93ms/step - accuracy: 0.6503 - loss: 1.1368
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[36m(train_cnn_ray_tune pid=1363105)[0m 
[1m 182/1093[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m1:24[0m 93ms/step - accuracy: 0.6497 - loss: 1.1380[32m [repeated 45x across cluster][0m
[36m(train_cnn_ray_tune pid=1363077)[0m Epoch 13/25
[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
[1m 1/75[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m1:01[0m 836ms/step
[1m 4/75[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m1s[0m 20ms/step   
[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
[1m21/75[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m1s[0m 30ms/step
[36m(train_cnn_ray_tune pid=1363106)[0m 
[1m23/75[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m1s[0m 31ms/step
[36m(train_cnn_ray_tune pid=1363106)[0m 
[1m25/75[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m1s[0m 31ms/step
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[36m(train_cnn_ray_tune pid=1363106)[0m 
[1m30/75[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m1s[0m 31ms/step
[36m(train_cnn_ray_tune pid=1363106)[0m 
[1m32/75[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m1s[0m 31ms/step
[36m(train_cnn_ray_tune pid=1363106)[0m 
[1m34/75[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m1s[0m 31ms/step
[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
[1m 88/547[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m29s[0m 64ms/step - accuracy: 0.3455 - loss: 1.9885
[1m 90/547[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m29s[0m 64ms/step - accuracy: 0.3455 - loss: 1.9884[32m [repeated 67x across cluster][0m
[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
[1m36/75[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m1s[0m 31ms/step
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[36m(train_cnn_ray_tune pid=1363106)[0m 
[1m40/75[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m1s[0m 31ms/step
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[36m(train_cnn_ray_tune pid=1363106)[0m 
[1m45/75[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m0s[0m 31ms/step
[36m(train_cnn_ray_tune pid=1363106)[0m 
[1m48/75[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m0s[0m 30ms/step
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[36m(train_cnn_ray_tune pid=1363106)[0m 
[1m54/75[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m0s[0m 29ms/step
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[36m(train_cnn_ray_tune pid=1363107)[0m 
[1m  1/547[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m6:10:21[0m 41s/step - accuracy: 0.3750 - loss: 2.0163
[36m(train_cnn_ray_tune pid=1363106)[0m 
[1m60/75[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m0s[0m 29ms/step
[36m(train_cnn_ray_tune pid=1363106)[0m 
[1m63/75[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m0s[0m 28ms/step
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[36m(train_cnn_ray_tune pid=1363106)[0m 
[1m68/75[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m0s[0m 28ms/step
[1m71/75[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m0s[0m 28ms/step
[36m(train_cnn_ray_tune pid=1363106)[0m 
[1m74/75[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m0s[0m 28ms/step
[36m(train_cnn_ray_tune pid=1363049)[0m 
[1m1017/1093[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m4s[0m 59ms/step - accuracy: 0.2673 - loss: 1.9933
[1m1018/1093[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m4s[0m 59ms/step - accuracy: 0.2673 - loss: 1.9933[32m [repeated 10x across cluster][0m
[36m(train_cnn_ray_tune pid=1363049)[0m 
[1m1015/1093[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m4s[0m 59ms/step - accuracy: 0.2673 - loss: 1.9933[32m [repeated 45x across cluster][0m
[36m(train_cnn_ray_tune pid=1363106)[0m 
[1m75/75[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 35ms/step
[36m(train_cnn_ray_tune pid=1363106)[0m 
[1m75/75[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m3s[0m 35ms/step
[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
[1m  3/159[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m3s[0m 25ms/step  
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[36m(train_cnn_ray_tune pid=1363106)[0m 
[1m  8/159[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m4s[0m 29ms/step
[36m(train_cnn_ray_tune pid=1363106)[0m 
[1m 11/159[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m4s[0m 29ms/step
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
[1m 22/159[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m3s[0m 29ms/step
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[36m(train_cnn_ray_tune pid=1363105)[0m 
[1m 217/1093[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m1:21[0m 93ms/step - accuracy: 0.6480 - loss: 1.1424
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
[1m 29/159[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m3s[0m 30ms/step
[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
[1m 238/1093[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m1:19[0m 92ms/step - accuracy: 0.6472 - loss: 1.1442[32m [repeated 49x across cluster][0m
[36m(train_cnn_ray_tune pid=1363106)[0m 
[1m 41/159[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m3s[0m 29ms/step
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[36m(train_cnn_ray_tune pid=1363106)[0m 
[1m 45/159[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m3s[0m 29ms/step
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[36m(train_cnn_ray_tune pid=1363106)[0m 
[1m 51/159[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m3s[0m 29ms/step
[36m(train_cnn_ray_tune pid=1363106)[0m 
[1m 53/159[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m3s[0m 29ms/step
[36m(train_cnn_ray_tune pid=1363106)[0m 
[1m 55/159[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m3s[0m 29ms/step
[36m(train_cnn_ray_tune pid=1363106)[0m 
[1m 57/159[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m2s[0m 29ms/step
[36m(train_cnn_ray_tune pid=1363077)[0m 
[1m 73/547[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m30s[0m 64ms/step - accuracy: 0.3455 - loss: 1.9883
[1m 74/547[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m30s[0m 64ms/step - accuracy: 0.3455 - loss: 1.9883
[1m 75/547[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m30s[0m 64ms/step - accuracy: 0.3456 - loss: 1.9883[32m [repeated 2x across cluster][0m
[36m(train_cnn_ray_tune pid=1363106)[0m 
[1m 60/159[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m2s[0m 29ms/step
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[36m(train_cnn_ray_tune pid=1363106)[0m 
[1m 65/159[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m2s[0m 29ms/step
[1m 67/159[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m2s[0m 29ms/step
[36m(train_cnn_ray_tune pid=1363102)[0m 
[1m1093/1093[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m63s[0m 58ms/step - accuracy: 0.6395 - loss: 1.0274 - val_accuracy: 0.3672 - val_loss: 1.9423
[36m(train_cnn_ray_tune pid=1363102)[0m Epoch 9/19
[36m(train_cnn_ray_tune pid=1363106)[0m 
[1m 69/159[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m2s[0m 29ms/step
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[36m(train_cnn_ray_tune pid=1363106)[0m 
[1m 73/159[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m2s[0m 29ms/step
[1m 75/159[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m2s[0m 29ms/step
[36m(train_cnn_ray_tune pid=1363106)[0m 
[1m 78/159[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m2s[0m 29ms/step
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
[1m 84/159[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m2s[0m 29ms/step
[36m(train_cnn_ray_tune pid=1363106)[0m 
[1m 87/159[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m2s[0m 28ms/step
[36m(train_cnn_ray_tune pid=1363106)[0m 
[1m 90/159[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m1s[0m 28ms/step
[1m 92/159[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m1s[0m 28ms/step
[36m(train_cnn_ray_tune pid=1363101)[0m 
[1m394/547[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m9s[0m 64ms/step - accuracy: 0.4158 - loss: 1.7004
[1m395/547[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m9s[0m 64ms/step - accuracy: 0.4158 - loss: 1.7003
[36m(train_cnn_ray_tune pid=1363106)[0m 
[1m 94/159[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m1s[0m 28ms/step
[36m(train_cnn_ray_tune pid=1363106)[0m 
[1m 97/159[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m1s[0m 28ms/step
[36m(train_cnn_ray_tune pid=1363101)[0m 
[1m396/547[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m9s[0m 64ms/step - accuracy: 0.4159 - loss: 1.7003
[36m(train_cnn_ray_tune pid=1363106)[0m 
[1m 99/159[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m1s[0m 28ms/step
[1m102/159[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m1s[0m 28ms/step
[36m(train_cnn_ray_tune pid=1363101)[0m 
[1m398/547[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m9s[0m 64ms/step - accuracy: 0.4159 - loss: 1.7002
[36m(train_cnn_ray_tune pid=1363101)[0m 
[1m399/547[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m9s[0m 64ms/step - accuracy: 0.4159 - loss: 1.7002
[36m(train_cnn_ray_tune pid=1363106)[0m 
[1m104/159[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m1s[0m 28ms/step
[1m106/159[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m1s[0m 28ms/step
[36m(train_cnn_ray_tune pid=1363101)[0m 
[1m400/547[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m9s[0m 64ms/step - accuracy: 0.4160 - loss: 1.7001
[36m(train_cnn_ray_tune pid=1363077)[0m 
[1m171/547[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m23s[0m 63ms/step - accuracy: 0.3431 - loss: 1.9879[32m [repeated 104x across cluster][0m
[36m(train_cnn_ray_tune pid=1363075)[0m 
[1m327/547[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m13s[0m 63ms/step - accuracy: 0.2952 - loss: 2.0703
[1m329/547[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m13s[0m 63ms/step - accuracy: 0.2952 - loss: 2.0702[32m [repeated 78x across cluster][0m
[36m(train_cnn_ray_tune pid=1363061)[0m 
[1m 854/1093[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m19s[0m 80ms/step - accuracy: 0.4186 - loss: 1.7409
[1m 855/1093[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m19s[0m 80ms/step - accuracy: 0.4186 - loss: 1.7409[32m [repeated 109x across cluster][0m
[36m(train_cnn_ray_tune pid=1363068)[0m 
[1m 722/1093[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m25s[0m 68ms/step - accuracy: 0.4351 - loss: 1.5844[32m [repeated 200x across cluster][0m
[36m(train_cnn_ray_tune pid=1363101)[0m 
[1m401/547[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m9s[0m 64ms/step - accuracy: 0.4160 - loss: 1.7001
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[36m(train_cnn_ray_tune pid=1363106)[0m 
[1m108/159[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m1s[0m 28ms/step
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363049)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m /home/simur/git/uniovi-simur-wearablepermed-ml/.venv/lib/python3.12/site-packages/ray/train/_internal/session.py:772: RayDeprecationWarning: `ray.train.report` should be switched to `ray.tune.report` when running in a function passed to Ray Tune. This will be an error in the future. See this issue for more context: https://github.com/ray-project/ray/issues/49454
[36m(train_cnn_ray_tune pid=1363106)[0m   _log_deprecation_warning(
[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363106)[0m 
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Trial trial_b4529 finished iteration 1 at 2025-11-08 18:26:14. Total running time: 9min 27s
╭──────────────────────────────────────╮
│ Trial trial_b4529 result             │
├──────────────────────────────────────┤
│ checkpoint_dir_name                  │
│ time_this_iter_s             564.972 │
│ time_total_s                 564.972 │
│ training_iteration                 1 │
│ val_accuracy                 0.38024 │
╰──────────────────────────────────────╯

Trial trial_b4529 completed after 1 iterations at 2025-11-08 18:26:14. Total running time: 9min 27s
[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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Trial status: 14 RUNNING | 6 TERMINATED
Current time: 2025-11-08 18:26:17. Total running time: 9min 31s
Logical resource usage: 14.0/20 CPUs, 0/1 GPUs (0.0/1.0 accelerator_type:G)
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name     status         N_capas   optimizador     funcion_activacion       tamanho_minilote     numero_filtros     tamanho_filtro     num_resblocks     tasa_aprendizaje     epochs     iter     total time (s)     val_accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ trial_b4529    RUNNING              2   adam            tanh                                   16                 96                  5                 1          0.00438546          17                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   16                 64                  5                 1          0.00499828          23                                              │
│ trial_b4529    RUNNING              3   adam            tanh                                   32                 32                  3                 0          3.58603e-05         27                                              │
│ trial_b4529    RUNNING              2   adam            tanh                                   16                 32                  3                 0          0.00499085          23                                              │
│ trial_b4529    RUNNING              2   rmsprop         tanh                                   16                 64                  5                 1          0.00024729          19                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   16                 96                  5                 0          0.000114875         22                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   32                 32                  5                 1          1.79994e-05         28                                              │
│ trial_b4529    RUNNING              3   rmsprop         relu                                   16                 64                  3                 1          4.24056e-05         16                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   32                 32                  3                 0          1.01166e-05         29                                              │
│ trial_b4529    RUNNING              3   adam            tanh                                   16                 64                  3                 0          0.000419667         20                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   16                 96                  3                 1          1.51945e-05         28                                              │
│ trial_b4529    RUNNING              2   rmsprop         relu                                   16                 96                  5                 0          0.00195981          26                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   16                 96                  3                 0          3.04652e-05         25                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   32                 32                  5                 0          1.67679e-05         25                                              │
│ trial_b4529    TERMINATED           3   rmsprop         relu                                   32                 32                  5                 1          0.000492984         27        1            393.446         0.413636 │
│ trial_b4529    TERMINATED           2   rmsprop         tanh                                   32                 64                  5                 0          0.00159181          26        1            330.548         0.429447 │
│ trial_b4529    TERMINATED           3   rmsprop         tanh                                   32                 32                  3                 0          0.000134897         21        1            564.972         0.380237 │
│ trial_b4529    TERMINATED           3   adam            relu                                   32                 32                  3                 0          0.000235024         27        1            489.257         0.432213 │
│ trial_b4529    TERMINATED           2   rmsprop         relu                                   32                 96                  5                 1          0.000352068         23        1            376.99          0.418577 │
│ trial_b4529    TERMINATED           3   rmsprop         relu                                   32                 64                  3                 0          0.00199625          25        1            555.076         0.461858 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363049)[0m 
[1m1093/1093[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m74s[0m 67ms/step - accuracy: 0.2673 - loss: 1.9930 - val_accuracy: 0.2986 - val_loss: 1.9174
[36m(train_cnn_ray_tune pid=1363049)[0m Epoch 7/17
[36m(train_cnn_ray_tune pid=1363049)[0m 
[1m   1/1093[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m2:31[0m 139ms/step - accuracy: 0.5625 - loss: 1.8331
[36m(train_cnn_ray_tune pid=1363049)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
[1m 583/1093[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m36s[0m 72ms/step - accuracy: 0.5334 - loss: 1.2178[32m [repeated 156x across cluster][0m
[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363049)[0m 
[1m  56/1093[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m1:01[0m 59ms/step - accuracy: 0.3444 - loss: 1.9324
[1m  57/1093[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m1:01[0m 59ms/step - accuracy: 0.3435 - loss: 1.9327[32m [repeated 24x across cluster][0m
[36m(train_cnn_ray_tune pid=1363049)[0m 
[1m  64/1093[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m1:00[0m 59ms/step - accuracy: 0.3377 - loss: 1.9346[32m [repeated 55x across cluster][0m
[36m(train_cnn_ray_tune pid=1363049)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
[1m547/547[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m40s[0m 72ms/step - accuracy: 0.4185 - loss: 1.6956 - val_accuracy: 0.3476 - val_loss: 1.8040
[36m(train_cnn_ray_tune pid=1363101)[0m 
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[1m  3/547[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m32s[0m 59ms/step - accuracy: 0.4861 - loss: 1.5609
[36m(train_cnn_ray_tune pid=1363101)[0m Epoch 13/27
[36m(train_cnn_ray_tune pid=1363101)[0m 
[1m  1/547[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m1:14[0m 137ms/step - accuracy: 0.5000 - loss: 1.6078
[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m Epoch 8/26
[36m(train_cnn_ray_tune pid=1363094)[0m 
[1m   1/1093[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m2:29[0m 137ms/step - accuracy: 0.5625 - loss: 1.0869
[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
[1m   1/1093[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m5:45:53[0m 19s/step - accuracy: 0.7500 - loss: 0.7346
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363049)[0m 
[1m 194/1093[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m51s[0m 57ms/step - accuracy: 0.3040 - loss: 1.9499[32m [repeated 191x across cluster][0m
[36m(train_cnn_ray_tune pid=1363075)[0m Epoch 13/29
[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m Epoch 14/25
[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m Epoch 6/28
[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
[1m547/547[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m78s[0m 68ms/step - accuracy: 0.3200 - loss: 2.0189 - val_accuracy: 0.2638 - val_loss: 2.1361
[36m(train_cnn_ray_tune pid=1363107)[0m Epoch 13/28
[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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Trial status: 14 RUNNING | 6 TERMINATED
Current time: 2025-11-08 18:26:47. Total running time: 10min 1s
Logical resource usage: 14.0/20 CPUs, 0/1 GPUs (0.0/1.0 accelerator_type:G)
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name     status         N_capas   optimizador     funcion_activacion       tamanho_minilote     numero_filtros     tamanho_filtro     num_resblocks     tasa_aprendizaje     epochs     iter     total time (s)     val_accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ trial_b4529    RUNNING              2   adam            tanh                                   16                 96                  5                 1          0.00438546          17                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   16                 64                  5                 1          0.00499828          23                                              │
│ trial_b4529    RUNNING              3   adam            tanh                                   32                 32                  3                 0          3.58603e-05         27                                              │
│ trial_b4529    RUNNING              2   adam            tanh                                   16                 32                  3                 0          0.00499085          23                                              │
│ trial_b4529    RUNNING              2   rmsprop         tanh                                   16                 64                  5                 1          0.00024729          19                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   16                 96                  5                 0          0.000114875         22                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   32                 32                  5                 1          1.79994e-05         28                                              │
│ trial_b4529    RUNNING              3   rmsprop         relu                                   16                 64                  3                 1          4.24056e-05         16                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   32                 32                  3                 0          1.01166e-05         29                                              │
│ trial_b4529    RUNNING              3   adam            tanh                                   16                 64                  3                 0          0.000419667         20                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   16                 96                  3                 1          1.51945e-05         28                                              │
│ trial_b4529    RUNNING              2   rmsprop         relu                                   16                 96                  5                 0          0.00195981          26                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   16                 96                  3                 0          3.04652e-05         25                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   32                 32                  5                 0          1.67679e-05         25                                              │
│ trial_b4529    TERMINATED           3   rmsprop         relu                                   32                 32                  5                 1          0.000492984         27        1            393.446         0.413636 │
│ trial_b4529    TERMINATED           2   rmsprop         tanh                                   32                 64                  5                 0          0.00159181          26        1            330.548         0.429447 │
│ trial_b4529    TERMINATED           3   rmsprop         tanh                                   32                 32                  3                 0          0.000134897         21        1            564.972         0.380237 │
│ trial_b4529    TERMINATED           3   adam            relu                                   32                 32                  3                 0          0.000235024         27        1            489.257         0.432213 │
│ trial_b4529    TERMINATED           2   rmsprop         relu                                   32                 96                  5                 1          0.000352068         23        1            376.99          0.418577 │
│ trial_b4529    TERMINATED           3   rmsprop         relu                                   32                 64                  3                 0          0.00199625          25        1            555.076         0.461858 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m Epoch 7/16
[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
[1m1018/1093[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m5s[0m 69ms/step - accuracy: 0.5323 - loss: 1.2219
[1m1019/1093[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m5s[0m 69ms/step - accuracy: 0.5323 - loss: 1.2219
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[36m(train_cnn_ray_tune pid=1363095)[0m 
[1m1093/1093[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m50s[0m 46ms/step - accuracy: 0.3617 - loss: 1.7000 - val_accuracy: 0.3721 - val_loss: 1.6788
[36m(train_cnn_ray_tune pid=1363095)[0m Epoch 11/23
[36m(train_cnn_ray_tune pid=1363095)[0m 
[1m   1/1093[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m1:59[0m 109ms/step - accuracy: 0.2500 - loss: 1.6033
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[36m(train_cnn_ray_tune pid=1363091)[0m 
[1m   2/1093[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m1:43[0m 95ms/step - accuracy: 0.4844 - loss: 1.5916 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
[1m   1/1093[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m3:12[0m 177ms/step - accuracy: 0.4375 - loss: 1.6458
[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m Epoch 6/25
[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 94 - loss: 1.1673
[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
[1m1091/1093[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m0s[0m 69ms/step - accuracy: 0.5322 - loss: 1.2224
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[36m(train_cnn_ray_tune pid=1363103)[0m 
[1m1093/1093[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 69ms/step - accuracy: 0.5322 - loss: 1.2225[32m [repeated 27x across cluster][0m
[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m Epoch 14/27
[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m Epoch 7/20[32m [repeated 3x across cluster][0m
[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363049)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363049)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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Trial status: 14 RUNNING | 6 TERMINATED
Current time: 2025-11-08 18:27:17. Total running time: 10min 31s
Logical resource usage: 14.0/20 CPUs, 0/1 GPUs (0.0/1.0 accelerator_type:G)
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name     status         N_capas   optimizador     funcion_activacion       tamanho_minilote     numero_filtros     tamanho_filtro     num_resblocks     tasa_aprendizaje     epochs     iter     total time (s)     val_accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ trial_b4529    RUNNING              2   adam            tanh                                   16                 96                  5                 1          0.00438546          17                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   16                 64                  5                 1          0.00499828          23                                              │
│ trial_b4529    RUNNING              3   adam            tanh                                   32                 32                  3                 0          3.58603e-05         27                                              │
│ trial_b4529    RUNNING              2   adam            tanh                                   16                 32                  3                 0          0.00499085          23                                              │
│ trial_b4529    RUNNING              2   rmsprop         tanh                                   16                 64                  5                 1          0.00024729          19                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   16                 96                  5                 0          0.000114875         22                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   32                 32                  5                 1          1.79994e-05         28                                              │
│ trial_b4529    RUNNING              3   rmsprop         relu                                   16                 64                  3                 1          4.24056e-05         16                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   32                 32                  3                 0          1.01166e-05         29                                              │
│ trial_b4529    RUNNING              3   adam            tanh                                   16                 64                  3                 0          0.000419667         20                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   16                 96                  3                 1          1.51945e-05         28                                              │
│ trial_b4529    RUNNING              2   rmsprop         relu                                   16                 96                  5                 0          0.00195981          26                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   16                 96                  3                 0          3.04652e-05         25                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   32                 32                  5                 0          1.67679e-05         25                                              │
│ trial_b4529    TERMINATED           3   rmsprop         relu                                   32                 32                  5                 1          0.000492984         27        1            393.446         0.413636 │
│ trial_b4529    TERMINATED           2   rmsprop         tanh                                   32                 64                  5                 0          0.00159181          26        1            330.548         0.429447 │
│ trial_b4529    TERMINATED           3   rmsprop         tanh                                   32                 32                  3                 0          0.000134897         21        1            564.972         0.380237 │
│ trial_b4529    TERMINATED           3   adam            relu                                   32                 32                  3                 0          0.000235024         27        1            489.257         0.432213 │
│ trial_b4529    TERMINATED           2   rmsprop         relu                                   32                 96                  5                 1          0.000352068         23        1            376.99          0.418577 │
│ trial_b4529    TERMINATED           3   rmsprop         relu                                   32                 64                  3                 0          0.00199625          25        1            555.076         0.461858 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m Epoch 15/25
[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
[1m  1/547[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m1:22[0m 151ms/step - accuracy: 0.3125 - loss: 1.8983
[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m Epoch 14/28
[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
[1m 10/159[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m3s[0m 20ms/step
[36m(train_cnn_ray_tune pid=1363075)[0m 
[1m379/547[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m9s[0m 59ms/step - accuracy: 0.2995 - loss: 2.0156 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
[1m 26/159[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m2s[0m 19ms/step
[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
[1m 33/159[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m2s[0m 19ms/step
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[36m(train_cnn_ray_tune pid=1363102)[0m 
[1m 41/159[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m2s[0m 18ms/step
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[36m(train_cnn_ray_tune pid=1363102)[0m 
[1m 47/159[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m2s[0m 18ms/step
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[36m(train_cnn_ray_tune pid=1363102)[0m 
[1m 54/159[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m1s[0m 18ms/step
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[36m(train_cnn_ray_tune pid=1363102)[0m 
[1m 61/159[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m1s[0m 18ms/step
[36m(train_cnn_ray_tune pid=1363077)[0m 
[1m179/547[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m20s[0m 57ms/step - accuracy: 0.3499 - loss: 1.9406
[1m180/547[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m20s[0m 56ms/step - accuracy: 0.3499 - loss: 1.9406
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[36m(train_cnn_ray_tune pid=1363102)[0m 
[1m 64/159[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m1s[0m 18ms/step
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[36m(train_cnn_ray_tune pid=1363102)[0m 
[1m 71/159[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m1s[0m 18ms/step
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
[1m 93/159[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m1s[0m 18ms/step
[36m(train_cnn_ray_tune pid=1363102)[0m 
[1m 96/159[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m1s[0m 19ms/step
[36m(train_cnn_ray_tune pid=1363102)[0m 
[1m 99/159[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m1s[0m 19ms/step
[36m(train_cnn_ray_tune pid=1363049)[0m Epoch 8/17
[36m(train_cnn_ray_tune pid=1363102)[0m 
[1m102/159[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m1s[0m 19ms/step
[1m105/159[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m0s[0m 18ms/step
[36m(train_cnn_ray_tune pid=1363049)[0m 
[1m   1/1093[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m2:12[0m 121ms/step - accuracy: 0.3125 - loss: 1.7533
[36m(train_cnn_ray_tune pid=1363102)[0m 
[1m108/159[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m0s[0m 18ms/step
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[36m(train_cnn_ray_tune pid=1363049)[0m 
[1m   2/1093[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m1:04[0m 59ms/step - accuracy: 0.2812 - loss: 1.8024 
[36m(train_cnn_ray_tune pid=1363102)[0m 
[1m114/159[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m0s[0m 19ms/step
[36m(train_cnn_ray_tune pid=1363049)[0m 
[1m1093/1093[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m71s[0m 65ms/step - accuracy: 0.2862 - loss: 1.9577 - val_accuracy: 0.2834 - val_loss: 1.9090
[36m(train_cnn_ray_tune pid=1363102)[0m 
[1m118/159[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m0s[0m 18ms/step
[1m121/159[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m0s[0m 18ms/step
[36m(train_cnn_ray_tune pid=1363075)[0m 
[1m464/547[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m4s[0m 57ms/step - accuracy: 0.3002 - loss: 2.0152
[1m465/547[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m4s[0m 57ms/step - accuracy: 0.3003 - loss: 2.0152[32m [repeated 32x across cluster][0m
[36m(train_cnn_ray_tune pid=1363101)[0m 
[1m527/547[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m1s[0m 58ms/step - accuracy: 0.4461 - loss: 1.6278[32m [repeated 59x across cluster][0m
[36m(train_cnn_ray_tune pid=1363102)[0m 
[1m125/159[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m0s[0m 18ms/step
[36m(train_cnn_ray_tune pid=1363075)[0m 
[1m468/547[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m4s[0m 57ms/step - accuracy: 0.3003 - loss: 2.0152
[1m469/547[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m4s[0m 57ms/step - accuracy: 0.3003 - loss: 2.0152
[1m470/547[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m4s[0m 57ms/step - accuracy: 0.3003 - loss: 2.0152
[36m(train_cnn_ray_tune pid=1363102)[0m 
[1m128/159[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m0s[0m 18ms/step
[36m(train_cnn_ray_tune pid=1363105)[0m 
[1m1093/1093[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m105s[0m 96ms/step - accuracy: 0.6253 - loss: 1.1722 - val_accuracy: 0.3421 - val_loss: 2.1406
[36m(train_cnn_ray_tune pid=1363102)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m /home/simur/git/uniovi-simur-wearablepermed-ml/.venv/lib/python3.12/site-packages/ray/train/_internal/session.py:772: RayDeprecationWarning: `ray.train.report` should be switched to `ray.tune.report` when running in a function passed to Ray Tune. This will be an error in the future. See this issue for more context: https://github.com/ray-project/ray/issues/49454
[36m(train_cnn_ray_tune pid=1363102)[0m   _log_deprecation_warning(
[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363102)[0m 
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Trial trial_b4529 finished iteration 1 at 2025-11-08 18:27:34. Total running time: 10min 47s
╭──────────────────────────────────────╮
│ Trial trial_b4529 result             │
├──────────────────────────────────────┤
│ checkpoint_dir_name                  │
│ time_this_iter_s               644.6 │
│ time_total_s                   644.6 │
│ training_iteration                 1 │
│ val_accuracy                 0.38083 │
╰──────────────────────────────────────╯

Trial trial_b4529 completed after 1 iterations at 2025-11-08 18:27:34. Total running time: 10min 47s
[36m(train_cnn_ray_tune pid=1363049)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m Epoch 9/26[32m [repeated 2x across cluster][0m
[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m Epoch 15/29[32m [repeated 3x across cluster][0m
[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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Trial status: 13 RUNNING | 7 TERMINATED
Current time: 2025-11-08 18:27:47. Total running time: 11min 1s
Logical resource usage: 13.0/20 CPUs, 0/1 GPUs (0.0/1.0 accelerator_type:G)
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name     status         N_capas   optimizador     funcion_activacion       tamanho_minilote     numero_filtros     tamanho_filtro     num_resblocks     tasa_aprendizaje     epochs     iter     total time (s)     val_accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ trial_b4529    RUNNING              2   adam            tanh                                   16                 96                  5                 1          0.00438546          17                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   16                 64                  5                 1          0.00499828          23                                              │
│ trial_b4529    RUNNING              3   adam            tanh                                   32                 32                  3                 0          3.58603e-05         27                                              │
│ trial_b4529    RUNNING              2   adam            tanh                                   16                 32                  3                 0          0.00499085          23                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   16                 96                  5                 0          0.000114875         22                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   32                 32                  5                 1          1.79994e-05         28                                              │
│ trial_b4529    RUNNING              3   rmsprop         relu                                   16                 64                  3                 1          4.24056e-05         16                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   32                 32                  3                 0          1.01166e-05         29                                              │
│ trial_b4529    RUNNING              3   adam            tanh                                   16                 64                  3                 0          0.000419667         20                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   16                 96                  3                 1          1.51945e-05         28                                              │
│ trial_b4529    RUNNING              2   rmsprop         relu                                   16                 96                  5                 0          0.00195981          26                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   16                 96                  3                 0          3.04652e-05         25                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   32                 32                  5                 0          1.67679e-05         25                                              │
│ trial_b4529    TERMINATED           3   rmsprop         relu                                   32                 32                  5                 1          0.000492984         27        1            393.446         0.413636 │
│ trial_b4529    TERMINATED           2   rmsprop         tanh                                   32                 64                  5                 0          0.00159181          26        1            330.548         0.429447 │
│ trial_b4529    TERMINATED           2   rmsprop         tanh                                   16                 64                  5                 1          0.00024729          19        1            644.6           0.38083  │
│ trial_b4529    TERMINATED           3   rmsprop         tanh                                   32                 32                  3                 0          0.000134897         21        1            564.972         0.380237 │
│ trial_b4529    TERMINATED           3   adam            relu                                   32                 32                  3                 0          0.000235024         27        1            489.257         0.432213 │
│ trial_b4529    TERMINATED           2   rmsprop         relu                                   32                 96                  5                 1          0.000352068         23        1            376.99          0.418577 │
│ trial_b4529    TERMINATED           3   rmsprop         relu                                   32                 64                  3                 0          0.00199625          25        1            555.076         0.461858 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363049)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[1m1038/1093[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m3s[0m 61ms/step - accuracy: 0.4462 - loss: 1.5512
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m Epoch 16/25
[36m(train_cnn_ray_tune pid=1363077)[0m 
[1m  1/547[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m1:08[0m 125ms/step - accuracy: 0.3750 - loss: 1.8928
[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m Epoch 15/28
[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m Epoch 8/16
[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363049)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m Epoch 7/28
[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363049)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363049)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m Epoch 16/29[32m [repeated 2x across cluster][0m
[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m Epoch 7/25
[36m(train_cnn_ray_tune pid=1363050)[0m Epoch 8/23
[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
[1m   2/1093[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m1:35[0m 87ms/step - accuracy: 0.0000e+00 - loss: 2.6723 
Trial status: 13 RUNNING | 7 TERMINATED
Current time: 2025-11-08 18:28:18. Total running time: 11min 31s
Logical resource usage: 13.0/20 CPUs, 0/1 GPUs (0.0/1.0 accelerator_type:G)
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name     status         N_capas   optimizador     funcion_activacion       tamanho_minilote     numero_filtros     tamanho_filtro     num_resblocks     tasa_aprendizaje     epochs     iter     total time (s)     val_accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ trial_b4529    RUNNING              2   adam            tanh                                   16                 96                  5                 1          0.00438546          17                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   16                 64                  5                 1          0.00499828          23                                              │
│ trial_b4529    RUNNING              3   adam            tanh                                   32                 32                  3                 0          3.58603e-05         27                                              │
│ trial_b4529    RUNNING              2   adam            tanh                                   16                 32                  3                 0          0.00499085          23                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   16                 96                  5                 0          0.000114875         22                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   32                 32                  5                 1          1.79994e-05         28                                              │
│ trial_b4529    RUNNING              3   rmsprop         relu                                   16                 64                  3                 1          4.24056e-05         16                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   32                 32                  3                 0          1.01166e-05         29                                              │
│ trial_b4529    RUNNING              3   adam            tanh                                   16                 64                  3                 0          0.000419667         20                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   16                 96                  3                 1          1.51945e-05         28                                              │
│ trial_b4529    RUNNING              2   rmsprop         relu                                   16                 96                  5                 0          0.00195981          26                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   16                 96                  3                 0          3.04652e-05         25                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   32                 32                  5                 0          1.67679e-05         25                                              │
│ trial_b4529    TERMINATED           3   rmsprop         relu                                   32                 32                  5                 1          0.000492984         27        1            393.446         0.413636 │
│ trial_b4529    TERMINATED           2   rmsprop         tanh                                   32                 64                  5                 0          0.00159181          26        1            330.548         0.429447 │
│ trial_b4529    TERMINATED           2   rmsprop         tanh                                   16                 64                  5                 1          0.00024729          19        1            644.6           0.38083  │
│ trial_b4529    TERMINATED           3   rmsprop         tanh                                   32                 32                  3                 0          0.000134897         21        1            564.972         0.380237 │
│ trial_b4529    TERMINATED           3   adam            relu                                   32                 32                  3                 0          0.000235024         27        1            489.257         0.432213 │
│ trial_b4529    TERMINATED           2   rmsprop         relu                                   32                 96                  5                 1          0.000352068         23        1            376.99          0.418577 │
│ trial_b4529    TERMINATED           3   rmsprop         relu                                   32                 64                  3                 0          0.00199625          25        1            555.076         0.461858 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
[36m(train_cnn_ray_tune pid=1363050)[0m 
[1m   4/1093[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m1:15[0m 69ms/step - accuracy: 0.0130 - loss: 2.6903    
[1m   5/1093[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m1:14[0m 69ms/step - accuracy: 0.0204 - loss: 2.6994
[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363049)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[1m 4/75[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m1s[0m 26ms/step  
[36m(train_cnn_ray_tune pid=1363049)[0m 
[1m1093/1093[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 43ms/step - accuracy: 0.2844 - loss: 1.9446[32m [repeated 45x across cluster][0m
[36m(train_cnn_ray_tune pid=1363103)[0m 
[1m 6/75[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m1s[0m 27ms/step
[1m 8/75[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m1s[0m 28ms/step
[36m(train_cnn_ray_tune pid=1363077)[0m 
[1m547/547[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m29s[0m 54ms/step - accuracy: 0.3583 - loss: 1.9112 - val_accuracy: 0.2660 - val_loss: 2.1086
[36m(train_cnn_ray_tune pid=1363105)[0m 
[1m 149/1093[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m1:06[0m 70ms/step - accuracy: 0.6783 - loss: 1.0121[32m [repeated 87x across cluster][0m
[36m(train_cnn_ray_tune pid=1363103)[0m 
[1m10/75[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m2s[0m 31ms/step
[36m(train_cnn_ray_tune pid=1363091)[0m 
[1m  87/1093[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m1:11[0m 71ms/step - accuracy: 0.5882 - loss: 1.2585
[1m  88/1093[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m1:11[0m 71ms/step - accuracy: 0.5881 - loss: 1.2588[32m [repeated 46x across cluster][0m
[36m(train_cnn_ray_tune pid=1363103)[0m 
[1m12/75[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m1s[0m 31ms/step
[36m(train_cnn_ray_tune pid=1363103)[0m 
[1m14/75[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m1s[0m 31ms/step
[36m(train_cnn_ray_tune pid=1363103)[0m 
[1m16/75[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m1s[0m 31ms/step
[36m(train_cnn_ray_tune pid=1363103)[0m 
[1m18/75[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m1s[0m 31ms/step
[1m20/75[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m1s[0m 31ms/step
[36m(train_cnn_ray_tune pid=1363103)[0m 
[1m22/75[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m1s[0m 32ms/step
[36m(train_cnn_ray_tune pid=1363103)[0m 
[1m25/75[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m1s[0m 32ms/step
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[36m(train_cnn_ray_tune pid=1363103)[0m 
[1m29/75[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m1s[0m 31ms/step
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[36m(train_cnn_ray_tune pid=1363103)[0m 
[1m33/75[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m1s[0m 31ms/step
[1m35/75[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m1s[0m 31ms/step
[36m(train_cnn_ray_tune pid=1363103)[0m 
[1m37/75[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m1s[0m 31ms/step
[1m39/75[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m1s[0m 31ms/step
[36m(train_cnn_ray_tune pid=1363103)[0m 
[1m41/75[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m1s[0m 31ms/step
[36m(train_cnn_ray_tune pid=1363103)[0m 
[1m44/75[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m0s[0m 31ms/step
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[36m(train_cnn_ray_tune pid=1363103)[0m 
[1m48/75[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m0s[0m 31ms/step
[36m(train_cnn_ray_tune pid=1363103)[0m 
[1m50/75[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m0s[0m 31ms/step
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[36m(train_cnn_ray_tune pid=1363103)[0m 
[1m55/75[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m0s[0m 30ms/step
[36m(train_cnn_ray_tune pid=1363103)[0m 
[1m57/75[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m0s[0m 31ms/step
[36m(train_cnn_ray_tune pid=1363103)[0m 
[1m59/75[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m0s[0m 31ms/step
[1m61/75[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m0s[0m 31ms/step
[36m(train_cnn_ray_tune pid=1363103)[0m 
[1m63/75[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m0s[0m 31ms/step
[36m(train_cnn_ray_tune pid=1363103)[0m 
[1m66/75[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m0s[0m 30ms/step
[36m(train_cnn_ray_tune pid=1363103)[0m 
[1m68/75[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m0s[0m 30ms/step
[36m(train_cnn_ray_tune pid=1363077)[0m Epoch 17/25
[36m(train_cnn_ray_tune pid=1363103)[0m 
[1m70/75[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m0s[0m 31ms/step
[36m(train_cnn_ray_tune pid=1363077)[0m 
[1m  1/547[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m58s[0m 106ms/step - accuracy: 0.4062 - loss: 2.1554
[36m(train_cnn_ray_tune pid=1363075)[0m 
[1m246/547[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m15s[0m 52ms/step - accuracy: 0.3233 - loss: 1.9636
[1m247/547[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m15s[0m 52ms/step - accuracy: 0.3234 - loss: 1.9635
[1m248/547[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m15s[0m 52ms/step - accuracy: 0.3234 - loss: 1.9634
[36m(train_cnn_ray_tune pid=1363103)[0m 
[1m72/75[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m0s[0m 30ms/step
[36m(train_cnn_ray_tune pid=1363103)[0m 
[1m74/75[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m0s[0m 31ms/step
[36m(train_cnn_ray_tune pid=1363095)[0m 
[1m 1/75[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m52s[0m 712ms/step
[1m 5/75[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m0s[0m 13ms/step  
[36m(train_cnn_ray_tune pid=1363068)[0m 
[1m 410/1093[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m35s[0m 52ms/step - accuracy: 0.4660 - loss: 1.5179
[1m 411/1093[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m35s[0m 52ms/step - accuracy: 0.4660 - loss: 1.5179
[1m 412/1093[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m35s[0m 52ms/step - accuracy: 0.4660 - loss: 1.5178
[36m(train_cnn_ray_tune pid=1363107)[0m 
[1m544/547[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m0s[0m 47ms/step - accuracy: 0.3483 - loss: 1.9283
[1m545/547[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m0s[0m 47ms/step - accuracy: 0.3483 - loss: 1.9283[32m [repeated 16x across cluster][0m
[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
[1m1093/1093[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m41s[0m 38ms/step - accuracy: 0.3682 - loss: 1.6898 - val_accuracy: 0.3534 - val_loss: 1.6807
[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m 
[1m75/75[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m3s[0m 26ms/step[32m [repeated 17x across cluster][0m
[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
[1m1093/1093[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m54s[0m 49ms/step - accuracy: 0.6994 - loss: 0.7937 - val_accuracy: 0.4628 - val_loss: 1.9775
[36m(train_cnn_ray_tune pid=1363094)[0m Epoch 10/26
[36m(train_cnn_ray_tune pid=1363094)[0m 
[1m   1/1093[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m2:14[0m 123ms/step - accuracy: 0.8750 - loss: 0.6576
[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363095)[0m /home/simur/git/uniovi-simur-wearablepermed-ml/.venv/lib/python3.12/site-packages/ray/train/_internal/session.py:772: RayDeprecationWarning: `ray.train.report` should be switched to `ray.tune.report` when running in a function passed to Ray Tune. This will be an error in the future. See this issue for more context: https://github.com/ray-project/ray/issues/49454
[36m(train_cnn_ray_tune pid=1363095)[0m   _log_deprecation_warning(
[36m(train_cnn_ray_tune pid=1363103)[0m /home/simur/git/uniovi-simur-wearablepermed-ml/.venv/lib/python3.12/site-packages/ray/train/_internal/session.py:772: RayDeprecationWarning: `ray.train.report` should be switched to `ray.tune.report` when running in a function passed to Ray Tune. This will be an error in the future. See this issue for more context: https://github.com/ray-project/ray/issues/49454
[36m(train_cnn_ray_tune pid=1363103)[0m   _log_deprecation_warning(
[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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Trial trial_b4529 finished iteration 1 at 2025-11-08 18:28:28. Total running time: 11min 42s
╭──────────────────────────────────────╮
│ Trial trial_b4529 result             │
├──────────────────────────────────────┤
│ checkpoint_dir_name                  │
│ time_this_iter_s             699.029 │
│ time_total_s                 699.029 │
│ training_iteration                 1 │
│ val_accuracy                 0.35336 │
╰──────────────────────────────────────╯

Trial trial_b4529 completed after 1 iterations at 2025-11-08 18:28:28. Total running time: 11min 42s
[36m(train_cnn_ray_tune pid=1363049)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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Trial trial_b4529 finished iteration 1 at 2025-11-08 18:28:29. Total running time: 11min 42s
╭──────────────────────────────────────╮
│ Trial trial_b4529 result             │
├──────────────────────────────────────┤
│ checkpoint_dir_name                  │
│ time_this_iter_s             699.765 │
│ time_total_s                 699.765 │
│ training_iteration                 1 │
│ val_accuracy                 0.43439 │
╰──────────────────────────────────────╯

Trial trial_b4529 completed after 1 iterations at 2025-11-08 18:28:29. Total running time: 11min 42s
[36m(train_cnn_ray_tune pid=1363095)[0m 
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[36m(train_cnn_ray_tune pid=1363103)[0m 
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[36m(train_cnn_ray_tune pid=1363049)[0m 
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[36m(train_cnn_ray_tune pid=1363049)[0m /home/simur/git/uniovi-simur-wearablepermed-ml/.venv/lib/python3.12/site-packages/ray/train/_internal/session.py:772: RayDeprecationWarning: `ray.train.report` should be switched to `ray.tune.report` when running in a function passed to Ray Tune. This will be an error in the future. See this issue for more context: https://github.com/ray-project/ray/issues/49454
[36m(train_cnn_ray_tune pid=1363049)[0m   _log_deprecation_warning(
[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363049)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m Epoch 16/28
[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363049)[0m 
[1m123/159[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m0s[0m 24ms/step[32m [repeated 30x across cluster][0m

Trial trial_b4529 finished iteration 1 at 2025-11-08 18:28:35. Total running time: 11min 48s
╭──────────────────────────────────────╮
│ Trial trial_b4529 result             │
├──────────────────────────────────────┤
│ checkpoint_dir_name                  │
│ time_this_iter_s             705.846 │
│ time_total_s                 705.846 │
│ training_iteration                 1 │
│ val_accuracy                 0.30455 │
╰──────────────────────────────────────╯

Trial trial_b4529 completed after 1 iterations at 2025-11-08 18:28:35. Total running time: 11min 48s
[36m(train_cnn_ray_tune pid=1363049)[0m 
[1m75/75[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m3s[0m 31ms/step
[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363049)[0m 
[1m159/159[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m4s[0m 24ms/step[32m [repeated 11x across cluster][0m
[36m(train_cnn_ray_tune pid=1363101)[0m 
[1m547/547[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m34s[0m 61ms/step - accuracy: 0.4699 - loss: 1.5478 - val_accuracy: 0.3621 - val_loss: 1.7651
[36m(train_cnn_ray_tune pid=1363101)[0m Epoch 17/27
[36m(train_cnn_ray_tune pid=1363101)[0m 
[1m  1/547[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m1:17[0m 142ms/step - accuracy: 0.3750 - loss: 1.6992
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
[1m  1/547[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m1:41[0m 187ms/step - accuracy: 0.2812 - loss: 1.9158
[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
[1m547/547[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m34s[0m 61ms/step - accuracy: 0.3255 - loss: 1.9614 - val_accuracy: 0.3067 - val_loss: 1.9528
[36m(train_cnn_ray_tune pid=1363075)[0m Epoch 17/29
[36m(train_cnn_ray_tune pid=1363061)[0m 
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[1m 624/1093[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m29s[0m 64ms/step - accuracy: 0.4688 - loss: 1.5904
[1m 625/1093[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m29s[0m 64ms/step - accuracy: 0.4688 - loss: 1.5904

Trial status: 10 TERMINATED | 10 RUNNING
Current time: 2025-11-08 18:28:48. Total running time: 12min 1s
Logical resource usage: 10.0/20 CPUs, 0/1 GPUs (0.0/1.0 accelerator_type:G)
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name     status         N_capas   optimizador     funcion_activacion       tamanho_minilote     numero_filtros     tamanho_filtro     num_resblocks     tasa_aprendizaje     epochs     iter     total time (s)     val_accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   16                 64                  5                 1          0.00499828          23                                              │
│ trial_b4529    RUNNING              3   adam            tanh                                   32                 32                  3                 0          3.58603e-05         27                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   16                 96                  5                 0          0.000114875         22                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   32                 32                  5                 1          1.79994e-05         28                                              │
│ trial_b4529    RUNNING              3   rmsprop         relu                                   16                 64                  3                 1          4.24056e-05         16                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   32                 32                  3                 0          1.01166e-05         29                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   16                 96                  3                 1          1.51945e-05         28                                              │
│ trial_b4529    RUNNING              2   rmsprop         relu                                   16                 96                  5                 0          0.00195981          26                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   16                 96                  3                 0          3.04652e-05         25                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   32                 32                  5                 0          1.67679e-05         25                                              │
│ trial_b4529    TERMINATED           2   adam            tanh                                   16                 96                  5                 1          0.00438546          17        1            705.846         0.304545 │
│ trial_b4529    TERMINATED           3   rmsprop         relu                                   32                 32                  5                 1          0.000492984         27        1            393.446         0.413636 │
│ trial_b4529    TERMINATED           2   rmsprop         tanh                                   32                 64                  5                 0          0.00159181          26        1            330.548         0.429447 │
│ trial_b4529    TERMINATED           2   adam            tanh                                   16                 32                  3                 0          0.00499085          23        1            699.029         0.35336  │
│ trial_b4529    TERMINATED           2   rmsprop         tanh                                   16                 64                  5                 1          0.00024729          19        1            644.6           0.38083  │
│ trial_b4529    TERMINATED           3   rmsprop         tanh                                   32                 32                  3                 0          0.000134897         21        1            564.972         0.380237 │
│ trial_b4529    TERMINATED           3   adam            relu                                   32                 32                  3                 0          0.000235024         27        1            489.257         0.432213 │
│ trial_b4529    TERMINATED           2   rmsprop         relu                                   32                 96                  5                 1          0.000352068         23        1            376.99          0.418577 │
│ trial_b4529    TERMINATED           3   adam            tanh                                   16                 64                  3                 0          0.000419667         20        1            699.765         0.434387 │
│ trial_b4529    TERMINATED           3   rmsprop         relu                                   32                 64                  3                 0          0.00199625          25        1            555.076         0.461858 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m Epoch 18/25
[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
[1m  1/547[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m1:12[0m 133ms/step - accuracy: 0.3438 - loss: 1.9404
[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m Epoch 17/28
[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m Epoch 9/16
[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m Epoch 18/29[32m [repeated 2x across cluster][0m
[36m(train_cnn_ray_tune pid=1363077)[0m 
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Trial status: 10 TERMINATED | 10 RUNNING
Current time: 2025-11-08 18:29:18. Total running time: 12min 31s
Logical resource usage: 10.0/20 CPUs, 0/1 GPUs (0.0/1.0 accelerator_type:G)
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name     status         N_capas   optimizador     funcion_activacion       tamanho_minilote     numero_filtros     tamanho_filtro     num_resblocks     tasa_aprendizaje     epochs     iter     total time (s)     val_accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   16                 64                  5                 1          0.00499828          23                                              │
│ trial_b4529    RUNNING              3   adam            tanh                                   32                 32                  3                 0          3.58603e-05         27                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   16                 96                  5                 0          0.000114875         22                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   32                 32                  5                 1          1.79994e-05         28                                              │
│ trial_b4529    RUNNING              3   rmsprop         relu                                   16                 64                  3                 1          4.24056e-05         16                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   32                 32                  3                 0          1.01166e-05         29                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   16                 96                  3                 1          1.51945e-05         28                                              │
│ trial_b4529    RUNNING              2   rmsprop         relu                                   16                 96                  5                 0          0.00195981          26                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   16                 96                  3                 0          3.04652e-05         25                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   32                 32                  5                 0          1.67679e-05         25                                              │
│ trial_b4529    TERMINATED           2   adam            tanh                                   16                 96                  5                 1          0.00438546          17        1            705.846         0.304545 │
│ trial_b4529    TERMINATED           3   rmsprop         relu                                   32                 32                  5                 1          0.000492984         27        1            393.446         0.413636 │
│ trial_b4529    TERMINATED           2   rmsprop         tanh                                   32                 64                  5                 0          0.00159181          26        1            330.548         0.429447 │
│ trial_b4529    TERMINATED           2   adam            tanh                                   16                 32                  3                 0          0.00499085          23        1            699.029         0.35336  │
│ trial_b4529    TERMINATED           2   rmsprop         tanh                                   16                 64                  5                 1          0.00024729          19        1            644.6           0.38083  │
│ trial_b4529    TERMINATED           3   rmsprop         tanh                                   32                 32                  3                 0          0.000134897         21        1            564.972         0.380237 │
│ trial_b4529    TERMINATED           3   adam            relu                                   32                 32                  3                 0          0.000235024         27        1            489.257         0.432213 │
│ trial_b4529    TERMINATED           2   rmsprop         relu                                   32                 96                  5                 1          0.000352068         23        1            376.99          0.418577 │
│ trial_b4529    TERMINATED           3   adam            tanh                                   16                 64                  3                 0          0.000419667         20        1            699.765         0.434387 │
│ trial_b4529    TERMINATED           3   rmsprop         relu                                   32                 64                  3                 0          0.00199625          25        1            555.076         0.461858 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m Epoch 8/28
[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m /home/simur/git/uniovi-simur-wearablepermed-ml/.venv/lib/python3.12/site-packages/ray/train/_internal/session.py:772: RayDeprecationWarning: `ray.train.report` should be switched to `ray.tune.report` when running in a function passed to Ray Tune. This will be an error in the future. See this issue for more context: https://github.com/ray-project/ray/issues/49454
[36m(train_cnn_ray_tune pid=1363094)[0m   _log_deprecation_warning(
[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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[36m(train_cnn_ray_tune pid=1363094)[0m 
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Trial trial_b4529 finished iteration 1 at 2025-11-08 18:29:27. Total running time: 12min 41s
╭──────────────────────────────────────╮
│ Trial trial_b4529 result             │
├──────────────────────────────────────┤
│ checkpoint_dir_name                  │
│ time_this_iter_s             758.568 │
│ time_total_s                 758.568 │
│ training_iteration                 1 │
│ val_accuracy                 0.45198 │
╰──────────────────────────────────────╯

Trial trial_b4529 completed after 1 iterations at 2025-11-08 18:29:27. Total running time: 12min 41s
[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m Epoch 18/28[32m [repeated 3x across cluster][0m
[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m Epoch 8/25[32m [repeated 2x across cluster][0m
[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m Epoch 19/29[32m [repeated 2x across cluster][0m
[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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Trial status: 11 TERMINATED | 9 RUNNING
Current time: 2025-11-08 18:29:48. Total running time: 13min 1s
Logical resource usage: 9.0/20 CPUs, 0/1 GPUs (0.0/1.0 accelerator_type:G)
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name     status         N_capas   optimizador     funcion_activacion       tamanho_minilote     numero_filtros     tamanho_filtro     num_resblocks     tasa_aprendizaje     epochs     iter     total time (s)     val_accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   16                 64                  5                 1          0.00499828          23                                              │
│ trial_b4529    RUNNING              3   adam            tanh                                   32                 32                  3                 0          3.58603e-05         27                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   16                 96                  5                 0          0.000114875         22                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   32                 32                  5                 1          1.79994e-05         28                                              │
│ trial_b4529    RUNNING              3   rmsprop         relu                                   16                 64                  3                 1          4.24056e-05         16                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   32                 32                  3                 0          1.01166e-05         29                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   16                 96                  3                 1          1.51945e-05         28                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   16                 96                  3                 0          3.04652e-05         25                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   32                 32                  5                 0          1.67679e-05         25                                              │
│ trial_b4529    TERMINATED           2   adam            tanh                                   16                 96                  5                 1          0.00438546          17        1            705.846         0.304545 │
│ trial_b4529    TERMINATED           3   rmsprop         relu                                   32                 32                  5                 1          0.000492984         27        1            393.446         0.413636 │
│ trial_b4529    TERMINATED           2   rmsprop         tanh                                   32                 64                  5                 0          0.00159181          26        1            330.548         0.429447 │
│ trial_b4529    TERMINATED           2   adam            tanh                                   16                 32                  3                 0          0.00499085          23        1            699.029         0.35336  │
│ trial_b4529    TERMINATED           2   rmsprop         tanh                                   16                 64                  5                 1          0.00024729          19        1            644.6           0.38083  │
│ trial_b4529    TERMINATED           3   rmsprop         tanh                                   32                 32                  3                 0          0.000134897         21        1            564.972         0.380237 │
│ trial_b4529    TERMINATED           3   adam            relu                                   32                 32                  3                 0          0.000235024         27        1            489.257         0.432213 │
│ trial_b4529    TERMINATED           2   rmsprop         relu                                   32                 96                  5                 1          0.000352068         23        1            376.99          0.418577 │
│ trial_b4529    TERMINATED           3   adam            tanh                                   16                 64                  3                 0          0.000419667         20        1            699.765         0.434387 │
│ trial_b4529    TERMINATED           3   rmsprop         relu                                   32                 64                  3                 0          0.00199625          25        1            555.076         0.461858 │
│ trial_b4529    TERMINATED           2   rmsprop         relu                                   16                 96                  5                 0          0.00195981          26        1            758.568         0.451976 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m Epoch 20/25
[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
[1m  1/547[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m1:17[0m 142ms/step - accuracy: 0.4688 - loss: 1.6887
[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m Epoch 19/28
[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m Epoch 20/27
[36m(train_cnn_ray_tune pid=1363101)[0m 
[1m  1/547[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m1:16[0m 141ms/step - accuracy: 0.5625 - loss: 1.2811
[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m Epoch 10/16[32m [repeated 2x across cluster][0m
[36m(train_cnn_ray_tune pid=1363075)[0m 
[1m  1/547[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m1:16[0m 141ms/step - accuracy: 0.4375 - loss: 1.7251
[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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Trial status: 11 TERMINATED | 9 RUNNING
Current time: 2025-11-08 18:30:18. Total running time: 13min 32s
Logical resource usage: 9.0/20 CPUs, 0/1 GPUs (0.0/1.0 accelerator_type:G)
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name     status         N_capas   optimizador     funcion_activacion       tamanho_minilote     numero_filtros     tamanho_filtro     num_resblocks     tasa_aprendizaje     epochs     iter     total time (s)     val_accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   16                 64                  5                 1          0.00499828          23                                              │
│ trial_b4529    RUNNING              3   adam            tanh                                   32                 32                  3                 0          3.58603e-05         27                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   16                 96                  5                 0          0.000114875         22                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   32                 32                  5                 1          1.79994e-05         28                                              │
│ trial_b4529    RUNNING              3   rmsprop         relu                                   16                 64                  3                 1          4.24056e-05         16                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   32                 32                  3                 0          1.01166e-05         29                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   16                 96                  3                 1          1.51945e-05         28                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   16                 96                  3                 0          3.04652e-05         25                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   32                 32                  5                 0          1.67679e-05         25                                              │
│ trial_b4529    TERMINATED           2   adam            tanh                                   16                 96                  5                 1          0.00438546          17        1            705.846         0.304545 │
│ trial_b4529    TERMINATED           3   rmsprop         relu                                   32                 32                  5                 1          0.000492984         27        1            393.446         0.413636 │
│ trial_b4529    TERMINATED           2   rmsprop         tanh                                   32                 64                  5                 0          0.00159181          26        1            330.548         0.429447 │
│ trial_b4529    TERMINATED           2   adam            tanh                                   16                 32                  3                 0          0.00499085          23        1            699.029         0.35336  │
│ trial_b4529    TERMINATED           2   rmsprop         tanh                                   16                 64                  5                 1          0.00024729          19        1            644.6           0.38083  │
│ trial_b4529    TERMINATED           3   rmsprop         tanh                                   32                 32                  3                 0          0.000134897         21        1            564.972         0.380237 │
│ trial_b4529    TERMINATED           3   adam            relu                                   32                 32                  3                 0          0.000235024         27        1            489.257         0.432213 │
│ trial_b4529    TERMINATED           2   rmsprop         relu                                   32                 96                  5                 1          0.000352068         23        1            376.99          0.418577 │
│ trial_b4529    TERMINATED           3   adam            tanh                                   16                 64                  3                 0          0.000419667         20        1            699.765         0.434387 │
│ trial_b4529    TERMINATED           3   rmsprop         relu                                   32                 64                  3                 0          0.00199625          25        1            555.076         0.461858 │
│ trial_b4529    TERMINATED           2   rmsprop         relu                                   16                 96                  5                 0          0.00195981          26        1            758.568         0.451976 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m Epoch 21/25
[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m Epoch 20/28
[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
[1m   1/1093[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m2:19[0m 127ms/step - accuracy: 0.4375 - loss: 1.6386
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m Epoch 9/28[32m [repeated 2x across cluster][0m
[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
[1m   1/1093[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m2:17[0m 126ms/step - accuracy: 0.4375 - loss: 2.2156
[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m Epoch 21/29[32m [repeated 2x across cluster][0m
[36m(train_cnn_ray_tune pid=1363075)[0m 
[1m547/547[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m27s[0m 50ms/step - accuracy: 0.3501 - loss: 1.8975 - val_accuracy: 0.3172 - val_loss: 1.9116
[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
[1m  1/547[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m1:02[0m 115ms/step - accuracy: 0.3438 - loss: 1.8395
[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[1m159/547[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m13s[0m 35ms/step - accuracy: 0.5202 - loss: 1.4048[32m [repeated 70x across cluster][0m
[36m(train_cnn_ray_tune pid=1363068)[0m 
[1m 677/1093[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m18s[0m 44ms/step - accuracy: 0.5111 - loss: 1.3813
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[36m(train_cnn_ray_tune pid=1363061)[0m 
[1m 203/1093[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m40s[0m 45ms/step - accuracy: 0.5171 - loss: 1.4576[32m [repeated 75x across cluster][0m
[36m(train_cnn_ray_tune pid=1363105)[0m 
[1m1092/1093[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m0s[0m 59ms/step - accuracy: 0.6960 - loss: 0.9226
[1m1093/1093[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 59ms/step - accuracy: 0.6960 - loss: 0.9226[32m [repeated 9x across cluster][0m
[36m(train_cnn_ray_tune pid=1363091)[0m 
[1m1093/1093[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m68s[0m 62ms/step - accuracy: 0.6160 - loss: 1.2009 - val_accuracy: 0.3804 - val_loss: 1.8463
[36m(train_cnn_ray_tune pid=1363091)[0m Epoch 9/25
[36m(train_cnn_ray_tune pid=1363091)[0m 
[1m   1/1093[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m1:59[0m 110ms/step - accuracy: 0.4375 - loss: 1.1417
[36m(train_cnn_ray_tune pid=1363091)[0m 
[1m   3/1093[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m44s[0m 41ms/step - accuracy: 0.5278 - loss: 1.0168  
[36m(train_cnn_ray_tune pid=1363101)[0m 
[1m255/547[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m9s[0m 34ms/step - accuracy: 0.5204 - loss: 1.4067 
[1m257/547[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m9s[0m 34ms/step - accuracy: 0.5205 - loss: 1.4067
[36m(train_cnn_ray_tune pid=1363105)[0m 
[1m 1/75[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m49s[0m 667ms/step
[36m(train_cnn_ray_tune pid=1363105)[0m 
[1m 3/75[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m1s[0m 26ms/step  
[1m 5/75[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m1s[0m 27ms/step
[36m(train_cnn_ray_tune pid=1363105)[0m 
[1m 8/75[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m1s[0m 26ms/step
[1m10/75[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m1s[0m 26ms/step
[36m(train_cnn_ray_tune pid=1363105)[0m 
[1m12/75[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m1s[0m 27ms/step
[1m15/75[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m1s[0m 26ms/step
[36m(train_cnn_ray_tune pid=1363105)[0m 
[1m17/75[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m1s[0m 26ms/step
[36m(train_cnn_ray_tune pid=1363105)[0m 
[1m20/75[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m1s[0m 26ms/step
[36m(train_cnn_ray_tune pid=1363105)[0m 
[1m22/75[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m1s[0m 26ms/step
[1m24/75[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m1s[0m 26ms/step
[36m(train_cnn_ray_tune pid=1363107)[0m 
[1m450/547[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m3s[0m 38ms/step - accuracy: 0.3863 - loss: 1.8179
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
[1m30/75[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m1s[0m 27ms/step
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[36m(train_cnn_ray_tune pid=1363105)[0m 
[1m35/75[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m1s[0m 26ms/step
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[36m(train_cnn_ray_tune pid=1363105)[0m 
[1m40/75[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m0s[0m 26ms/step
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
[1m 326/1093[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m33s[0m 43ms/step - accuracy: 0.5186 - loss: 1.4575
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[36m(train_cnn_ray_tune pid=1363061)[0m 
[1m 330/1093[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m33s[0m 43ms/step - accuracy: 0.5186 - loss: 1.4575[32m [repeated 101x across cluster][0m
[36m(train_cnn_ray_tune pid=1363105)[0m 
[1m44/75[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m0s[0m 27ms/step
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[36m(train_cnn_ray_tune pid=1363105)[0m 
[1m48/75[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m0s[0m 27ms/step
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[36m(train_cnn_ray_tune pid=1363077)[0m 
[1m547/547[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m24s[0m 44ms/step - accuracy: 0.3973 - loss: 1.8027 - val_accuracy: 0.2763 - val_loss: 2.0906
[36m(train_cnn_ray_tune pid=1363105)[0m 
[1m52/75[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m0s[0m 27ms/step
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[36m(train_cnn_ray_tune pid=1363105)[0m 
[1m56/75[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m0s[0m 27ms/step
[36m(train_cnn_ray_tune pid=1363105)[0m 
[1m58/75[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m0s[0m 27ms/step
[1m60/75[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m0s[0m 27ms/step
[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
[1m62/75[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m0s[0m 27ms/step
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[36m(train_cnn_ray_tune pid=1363105)[0m 
[1m66/75[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m0s[0m 27ms/step
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[36m(train_cnn_ray_tune pid=1363105)[0m 
[1m70/75[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m0s[0m 27ms/step
[1m72/75[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m0s[0m 27ms/step
[36m(train_cnn_ray_tune pid=1363105)[0m 
[1m74/75[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m0s[0m 27ms/step
[36m(train_cnn_ray_tune pid=1363105)[0m 
[1m75/75[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 35ms/step
[36m(train_cnn_ray_tune pid=1363105)[0m 
[1m75/75[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m3s[0m 35ms/step
[36m(train_cnn_ray_tune pid=1363068)[0m 
[1m 867/1093[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m9s[0m 43ms/step - accuracy: 0.5108 - loss: 1.3813
[1m 869/1093[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m9s[0m 43ms/step - accuracy: 0.5108 - loss: 1.3813
[36m(train_cnn_ray_tune pid=1363105)[0m 
[1m  1/159[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m9s[0m 63ms/step
[1m  3/159[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m4s[0m 27ms/step
[36m(train_cnn_ray_tune pid=1363068)[0m 
[1m 873/1093[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m9s[0m 43ms/step - accuracy: 0.5108 - loss: 1.3813
[1m 875/1093[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m9s[0m 43ms/step - accuracy: 0.5108 - loss: 1.3813
[36m(train_cnn_ray_tune pid=1363105)[0m 
[1m  5/159[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m4s[0m 26ms/step
[36m(train_cnn_ray_tune pid=1363105)[0m 
[1m  7/159[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m4s[0m 27ms/step
[1m  9/159[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m4s[0m 27ms/step
[36m(train_cnn_ray_tune pid=1363105)[0m 
[1m 11/159[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m4s[0m 27ms/step
[1m 13/159[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m3s[0m 27ms/step
[36m(train_cnn_ray_tune pid=1363068)[0m 
[1m 879/1093[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m9s[0m 43ms/step - accuracy: 0.5108 - loss: 1.3813
[1m 881/1093[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m9s[0m 43ms/step - accuracy: 0.5108 - loss: 1.3813
[36m(train_cnn_ray_tune pid=1363105)[0m 
[1m 15/159[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m3s[0m 28ms/step
[1m 18/159[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m3s[0m 27ms/step
[36m(train_cnn_ray_tune pid=1363105)[0m 
[1m1093/1093[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m72s[0m 66ms/step - accuracy: 0.6960 - loss: 0.9226 - val_accuracy: 0.3419 - val_loss: 2.2613
[36m(train_cnn_ray_tune pid=1363077)[0m Epoch 22/25
[36m(train_cnn_ray_tune pid=1363105)[0m 
[1m 20/159[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m3s[0m 28ms/step
[1m 22/159[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m3s[0m 28ms/step
[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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Trial status: 11 TERMINATED | 9 RUNNING
Current time: 2025-11-08 18:30:48. Total running time: 14min 2s
Logical resource usage: 9.0/20 CPUs, 0/1 GPUs (0.0/1.0 accelerator_type:G)
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name     status         N_capas   optimizador     funcion_activacion       tamanho_minilote     numero_filtros     tamanho_filtro     num_resblocks     tasa_aprendizaje     epochs     iter     total time (s)     val_accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   16                 64                  5                 1          0.00499828          23                                              │
│ trial_b4529    RUNNING              3   adam            tanh                                   32                 32                  3                 0          3.58603e-05         27                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   16                 96                  5                 0          0.000114875         22                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   32                 32                  5                 1          1.79994e-05         28                                              │
│ trial_b4529    RUNNING              3   rmsprop         relu                                   16                 64                  3                 1          4.24056e-05         16                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   32                 32                  3                 0          1.01166e-05         29                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   16                 96                  3                 1          1.51945e-05         28                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   16                 96                  3                 0          3.04652e-05         25                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   32                 32                  5                 0          1.67679e-05         25                                              │
│ trial_b4529    TERMINATED           2   adam            tanh                                   16                 96                  5                 1          0.00438546          17        1            705.846         0.304545 │
│ trial_b4529    TERMINATED           3   rmsprop         relu                                   32                 32                  5                 1          0.000492984         27        1            393.446         0.413636 │
│ trial_b4529    TERMINATED           2   rmsprop         tanh                                   32                 64                  5                 0          0.00159181          26        1            330.548         0.429447 │
│ trial_b4529    TERMINATED           2   adam            tanh                                   16                 32                  3                 0          0.00499085          23        1            699.029         0.35336  │
│ trial_b4529    TERMINATED           2   rmsprop         tanh                                   16                 64                  5                 1          0.00024729          19        1            644.6           0.38083  │
│ trial_b4529    TERMINATED           3   rmsprop         tanh                                   32                 32                  3                 0          0.000134897         21        1            564.972         0.380237 │
│ trial_b4529    TERMINATED           3   adam            relu                                   32                 32                  3                 0          0.000235024         27        1            489.257         0.432213 │
│ trial_b4529    TERMINATED           2   rmsprop         relu                                   32                 96                  5                 1          0.000352068         23        1            376.99          0.418577 │
│ trial_b4529    TERMINATED           3   adam            tanh                                   16                 64                  3                 0          0.000419667         20        1            699.765         0.434387 │
│ trial_b4529    TERMINATED           3   rmsprop         relu                                   32                 64                  3                 0          0.00199625          25        1            555.076         0.461858 │
│ trial_b4529    TERMINATED           2   rmsprop         relu                                   16                 96                  5                 0          0.00195981          26        1            758.568         0.451976 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m /home/simur/git/uniovi-simur-wearablepermed-ml/.venv/lib/python3.12/site-packages/ray/train/_internal/session.py:772: RayDeprecationWarning: `ray.train.report` should be switched to `ray.tune.report` when running in a function passed to Ray Tune. This will be an error in the future. See this issue for more context: https://github.com/ray-project/ray/issues/49454
[36m(train_cnn_ray_tune pid=1363105)[0m   _log_deprecation_warning(
[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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[36m(train_cnn_ray_tune pid=1363105)[0m 
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Trial trial_b4529 finished iteration 1 at 2025-11-08 18:30:51. Total running time: 14min 5s
╭──────────────────────────────────────╮
│ Trial trial_b4529 result             │
├──────────────────────────────────────┤
│ checkpoint_dir_name                  │
│ time_this_iter_s             842.141 │
│ time_total_s                 842.141 │
│ training_iteration                 1 │
│ val_accuracy                  0.3419 │
╰──────────────────────────────────────╯

Trial trial_b4529 completed after 1 iterations at 2025-11-08 18:30:51. Total running time: 14min 5s
[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m Epoch 21/28
[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m Epoch 22/27
[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
[1m  1/547[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m56s[0m 103ms/step - accuracy: 0.3125 - loss: 1.8127
[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m Epoch 11/16[32m [repeated 2x across cluster][0m
[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
[1m1003/1093[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m3s[0m 39ms/step - accuracy: 0.1257 - loss: 2.4182
[1m1005/1093[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m3s[0m 39ms/step - accuracy: 0.1257 - loss: 2.4183
[36m(train_cnn_ray_tune pid=1363077)[0m 
[1m547/547[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m22s[0m 40ms/step - accuracy: 0.4047 - loss: 1.7835 - val_accuracy: 0.2802 - val_loss: 2.0871
[36m(train_cnn_ray_tune pid=1363077)[0m Epoch 23/25
[36m(train_cnn_ray_tune pid=1363077)[0m 
[1m  1/547[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m1:01[0m 112ms/step - accuracy: 0.4062 - loss: 1.8851
[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
[1m 967/1093[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m5s[0m 41ms/step - accuracy: 0.5264 - loss: 1.4447
[1m 969/1093[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m5s[0m 41ms/step - accuracy: 0.5264 - loss: 1.4447[32m [repeated 27x across cluster][0m
[36m(train_cnn_ray_tune pid=1363107)[0m 
[1m547/547[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m21s[0m 38ms/step - accuracy: 0.4013 - loss: 1.7839 - val_accuracy: 0.2875 - val_loss: 2.0743
[36m(train_cnn_ray_tune pid=1363107)[0m Epoch 22/28
[36m(train_cnn_ray_tune pid=1363107)[0m 
[1m  1/547[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m56s[0m 104ms/step - accuracy: 0.4375 - loss: 1.8419
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[36m(train_cnn_ray_tune pid=1363077)[0m 
[1m236/547[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m9s[0m 31ms/step - accuracy: 0.4042 - loss: 1.7702
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[36m(train_cnn_ray_tune pid=1363077)[0m 
[1m234/547[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m9s[0m 31ms/step - accuracy: 0.4042 - loss: 1.7703[32m [repeated 38x across cluster][0m
[36m(train_cnn_ray_tune pid=1363050)[0m 
[1m1093/1093[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m48s[0m 44ms/step - accuracy: 0.1254 - loss: 2.4188 - val_accuracy: 0.1306 - val_loss: 2.2898
[36m(train_cnn_ray_tune pid=1363050)[0m 
[1m   1/1093[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m1:26[0m 79ms/step - accuracy: 0.2500 - loss: 2.4624
[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
[1m 826/1093[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m10s[0m 40ms/step - accuracy: 0.6499 - loss: 1.1026
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[36m(train_cnn_ray_tune pid=1363068)[0m 
[1m 415/1093[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m22s[0m 34ms/step - accuracy: 0.5284 - loss: 1.3557[32m [repeated 44x across cluster][0m
[36m(train_cnn_ray_tune pid=1363091)[0m 
[1m 841/1093[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m9s[0m 39ms/step - accuracy: 0.6497 - loss: 1.1029 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m Epoch 23/27[32m [repeated 2x across cluster][0m
[36m(train_cnn_ray_tune pid=1363101)[0m 
[1m  1/547[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m51s[0m 94ms/step - accuracy: 0.4375 - loss: 1.5314
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Trial status: 12 TERMINATED | 8 RUNNING
Current time: 2025-11-08 18:31:18. Total running time: 14min 32s
Logical resource usage: 8.0/20 CPUs, 0/1 GPUs (0.0/1.0 accelerator_type:G)
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name     status         N_capas   optimizador     funcion_activacion       tamanho_minilote     numero_filtros     tamanho_filtro     num_resblocks     tasa_aprendizaje     epochs     iter     total time (s)     val_accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   16                 64                  5                 1          0.00499828          23                                              │
│ trial_b4529    RUNNING              3   adam            tanh                                   32                 32                  3                 0          3.58603e-05         27                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   32                 32                  5                 1          1.79994e-05         28                                              │
│ trial_b4529    RUNNING              3   rmsprop         relu                                   16                 64                  3                 1          4.24056e-05         16                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   32                 32                  3                 0          1.01166e-05         29                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   16                 96                  3                 1          1.51945e-05         28                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   16                 96                  3                 0          3.04652e-05         25                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   32                 32                  5                 0          1.67679e-05         25                                              │
│ trial_b4529    TERMINATED           2   adam            tanh                                   16                 96                  5                 1          0.00438546          17        1            705.846         0.304545 │
│ trial_b4529    TERMINATED           3   rmsprop         relu                                   32                 32                  5                 1          0.000492984         27        1            393.446         0.413636 │
│ trial_b4529    TERMINATED           2   rmsprop         tanh                                   32                 64                  5                 0          0.00159181          26        1            330.548         0.429447 │
│ trial_b4529    TERMINATED           2   adam            tanh                                   16                 32                  3                 0          0.00499085          23        1            699.029         0.35336  │
│ trial_b4529    TERMINATED           2   rmsprop         tanh                                   16                 64                  5                 1          0.00024729          19        1            644.6           0.38083  │
│ trial_b4529    TERMINATED           3   rmsprop         tanh                                   16                 96                  5                 0          0.000114875         22        1            842.141         0.341897 │
│ trial_b4529    TERMINATED           3   rmsprop         tanh                                   32                 32                  3                 0          0.000134897         21        1            564.972         0.380237 │
│ trial_b4529    TERMINATED           3   adam            relu                                   32                 32                  3                 0          0.000235024         27        1            489.257         0.432213 │
│ trial_b4529    TERMINATED           2   rmsprop         relu                                   32                 96                  5                 1          0.000352068         23        1            376.99          0.418577 │
│ trial_b4529    TERMINATED           3   adam            tanh                                   16                 64                  3                 0          0.000419667         20        1            699.765         0.434387 │
│ trial_b4529    TERMINATED           3   rmsprop         relu                                   32                 64                  3                 0          0.00199625          25        1            555.076         0.461858 │
│ trial_b4529    TERMINATED           2   rmsprop         relu                                   16                 96                  5                 0          0.00195981          26        1            758.568         0.451976 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
[1m   1/1093[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m2:06[0m 116ms/step - accuracy: 0.3750 - loss: 1.4410
[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
[1m1001/1093[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m3s[0m 38ms/step - accuracy: 0.6482 - loss: 1.1054
[1m1003/1093[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m3s[0m 38ms/step - accuracy: 0.6482 - loss: 1.1054[32m [repeated 26x across cluster][0m
[36m(train_cnn_ray_tune pid=1363061)[0m Epoch 10/28[32m [repeated 2x across cluster][0m
[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
[1m 787/1093[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m9s[0m 33ms/step - accuracy: 0.5292 - loss: 1.3496 
[1m 789/1093[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m9s[0m 33ms/step - accuracy: 0.5292 - loss: 1.3496
[36m(train_cnn_ray_tune pid=1363077)[0m 
[1m  1/547[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m51s[0m 94ms/step - accuracy: 0.4375 - loss: 1.8738
[1m  3/547[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m18s[0m 34ms/step - accuracy: 0.4531 - loss: 1.7881
[36m(train_cnn_ray_tune pid=1363077)[0m Epoch 24/25
[36m(train_cnn_ray_tune pid=1363101)[0m 
[1m449/547[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m2s[0m 29ms/step - accuracy: 0.5336 - loss: 1.3697
[1m451/547[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m2s[0m 29ms/step - accuracy: 0.5336 - loss: 1.3697[32m [repeated 84x across cluster][0m
[36m(train_cnn_ray_tune pid=1363075)[0m 
[1m356/547[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m5s[0m 30ms/step - accuracy: 0.3594 - loss: 1.8653[32m [repeated 36x across cluster][0m
[36m(train_cnn_ray_tune pid=1363077)[0m 
[1m123/547[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m11s[0m 28ms/step - accuracy: 0.4345 - loss: 1.7367[32m [repeated 15x across cluster][0m
[36m(train_cnn_ray_tune pid=1363077)[0m 
[1m129/547[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m11s[0m 28ms/step - accuracy: 0.4336 - loss: 1.7376
[1m132/547[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m11s[0m 28ms/step - accuracy: 0.4332 - loss: 1.7381[32m [repeated 30x across cluster][0m
[36m(train_cnn_ray_tune pid=1363061)[0m 
[1m 264/1093[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m29s[0m 35ms/step - accuracy: 0.5548 - loss: 1.4001
[1m 266/1093[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m29s[0m 35ms/step - accuracy: 0.5547 - loss: 1.4000[32m [repeated 58x across cluster][0m
[36m(train_cnn_ray_tune pid=1363050)[0m 
[1m 464/1093[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m20s[0m 32ms/step - accuracy: 0.1137 - loss: 2.4125[32m [repeated 66x across cluster][0m
[36m(train_cnn_ray_tune pid=1363091)[0m 
[1m1093/1093[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m48s[0m 44ms/step - accuracy: 0.6477 - loss: 1.1062 - val_accuracy: 0.3623 - val_loss: 1.8979
[36m(train_cnn_ray_tune pid=1363077)[0m 
[1m142/547[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m11s[0m 28ms/step - accuracy: 0.4319 - loss: 1.7398
[1m144/547[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m11s[0m 28ms/step - accuracy: 0.4316 - loss: 1.7401
[1m146/547[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m11s[0m 28ms/step - accuracy: 0.4313 - loss: 1.7404
[36m(train_cnn_ray_tune pid=1363107)[0m Epoch 23/28
[36m(train_cnn_ray_tune pid=1363107)[0m 
[1m  1/547[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m46s[0m 85ms/step - accuracy: 0.3750 - loss: 1.8348
[36m(train_cnn_ray_tune pid=1363068)[0m 
[1m 915/1093[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m5s[0m 32ms/step - accuracy: 0.5289 - loss: 1.3488[32m [repeated 20x across cluster][0m
[36m(train_cnn_ray_tune pid=1363091)[0m 
[1m 1/75[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m46s[0m 626ms/step
[1m 5/75[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m1s[0m 18ms/step  
[36m(train_cnn_ray_tune pid=1363068)[0m 
[1m 941/1093[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m4s[0m 32ms/step - accuracy: 0.5289 - loss: 1.3486
[1m 944/1093[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m4s[0m 32ms/step - accuracy: 0.5289 - loss: 1.3486[32m [repeated 28x across cluster][0m
[36m(train_cnn_ray_tune pid=1363091)[0m 
[1m 8/75[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m1s[0m 19ms/step
[1m11/75[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m1s[0m 19ms/step
[36m(train_cnn_ray_tune pid=1363091)[0m 
[1m14/75[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m1s[0m 20ms/step
[1m17/75[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m1s[0m 20ms/step
[36m(train_cnn_ray_tune pid=1363091)[0m 
[1m20/75[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m1s[0m 20ms/step
[1m23/75[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m1s[0m 20ms/step
[36m(train_cnn_ray_tune pid=1363107)[0m 
[1m547/547[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m18s[0m 34ms/step - accuracy: 0.4107 - loss: 1.7747 - val_accuracy: 0.2870 - val_loss: 2.0714
[36m(train_cnn_ray_tune pid=1363091)[0m 
[1m26/75[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m0s[0m 20ms/step
[1m29/75[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m0s[0m 20ms/step
[36m(train_cnn_ray_tune pid=1363091)[0m 
[1m32/75[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m0s[0m 20ms/step
[1m36/75[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m0s[0m 20ms/step
[36m(train_cnn_ray_tune pid=1363091)[0m 
[1m39/75[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m0s[0m 20ms/step
[36m(train_cnn_ray_tune pid=1363077)[0m 
[1m189/547[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m9s[0m 28ms/step - accuracy: 0.4287 - loss: 1.7437 
[1m191/547[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m9s[0m 28ms/step - accuracy: 0.4286 - loss: 1.7438
[36m(train_cnn_ray_tune pid=1363091)[0m 
[1m42/75[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m0s[0m 20ms/step
[36m(train_cnn_ray_tune pid=1363091)[0m 
[1m45/75[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m0s[0m 20ms/step
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[36m(train_cnn_ray_tune pid=1363091)[0m 
[1m51/75[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m0s[0m 20ms/step
[1m54/75[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m0s[0m 20ms/step
[36m(train_cnn_ray_tune pid=1363091)[0m 
[1m58/75[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m0s[0m 20ms/step
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[36m(train_cnn_ray_tune pid=1363091)[0m 
[1m64/75[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m0s[0m 20ms/step
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[36m(train_cnn_ray_tune pid=1363091)[0m 
[1m70/75[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m0s[0m 20ms/step
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[36m(train_cnn_ray_tune pid=1363091)[0m 
[1m75/75[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 26ms/step
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[36m(train_cnn_ray_tune pid=1363091)[0m 
[1m  1/159[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m9s[0m 61ms/step
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[36m(train_cnn_ray_tune pid=1363091)[0m 
[1m  7/159[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m2s[0m 18ms/step
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[36m(train_cnn_ray_tune pid=1363091)[0m 
[1m 13/159[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m2s[0m 18ms/step
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
[1m 26/159[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m2s[0m 19ms/step
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[36m(train_cnn_ray_tune pid=1363091)[0m 
[1m 33/159[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m2s[0m 18ms/step
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[36m(train_cnn_ray_tune pid=1363091)[0m 
[1m 39/159[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m2s[0m 18ms/step
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[36m(train_cnn_ray_tune pid=1363091)[0m 
[1m 46/159[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m2s[0m 18ms/step
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[36m(train_cnn_ray_tune pid=1363091)[0m 
[1m 53/159[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m1s[0m 18ms/step
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[36m(train_cnn_ray_tune pid=1363091)[0m 
[1m 59/159[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m1s[0m 18ms/step
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[36m(train_cnn_ray_tune pid=1363091)[0m 
[1m 65/159[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m1s[0m 18ms/step
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[36m(train_cnn_ray_tune pid=1363091)[0m 
[1m 72/159[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m1s[0m 18ms/step
[1m 75/159[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m1s[0m 18ms/step
[36m(train_cnn_ray_tune pid=1363101)[0m 
[1m547/547[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m18s[0m 33ms/step - accuracy: 0.5341 - loss: 1.3682 - val_accuracy: 0.3648 - val_loss: 1.7665
[36m(train_cnn_ray_tune pid=1363077)[0m 
[1m289/547[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m7s[0m 28ms/step - accuracy: 0.4261 - loss: 1.7457
[1m291/547[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m7s[0m 28ms/step - accuracy: 0.4260 - loss: 1.7457[32m [repeated 67x across cluster][0m
[36m(train_cnn_ray_tune pid=1363075)[0m 
[1m531/547[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m0s[0m 29ms/step - accuracy: 0.3603 - loss: 1.8614[32m [repeated 39x across cluster][0m
[36m(train_cnn_ray_tune pid=1363091)[0m 
[1m 78/159[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m1s[0m 18ms/step
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[36m(train_cnn_ray_tune pid=1363091)[0m 
[1m 84/159[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m1s[0m 18ms/step
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
[1m 96/159[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m1s[0m 18ms/step
[36m(train_cnn_ray_tune pid=1363091)[0m 
[1m 99/159[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m1s[0m 18ms/step
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[36m(train_cnn_ray_tune pid=1363091)[0m 
[1m105/159[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m0s[0m 18ms/step
[1m108/159[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m0s[0m 18ms/step
[36m(train_cnn_ray_tune pid=1363107)[0m 
[1m163/547[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m10s[0m 28ms/step - accuracy: 0.4113 - loss: 1.7576[32m [repeated 31x across cluster][0m
[36m(train_cnn_ray_tune pid=1363101)[0m 
[1m 14/547[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m14s[0m 27ms/step - accuracy: 0.5699 - loss: 1.2891
[1m 16/547[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m14s[0m 27ms/step - accuracy: 0.5682 - loss: 1.2898[32m [repeated 36x across cluster][0m
[36m(train_cnn_ray_tune pid=1363050)[0m 
[1m 642/1093[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m14s[0m 31ms/step - accuracy: 0.1138 - loss: 2.4144
[1m 644/1093[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m14s[0m 31ms/step - accuracy: 0.1138 - loss: 2.4144[32m [repeated 57x across cluster][0m
[36m(train_cnn_ray_tune pid=1363061)[0m 
[1m 410/1093[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m23s[0m 35ms/step - accuracy: 0.5554 - loss: 1.3912[32m [repeated 43x across cluster][0m
[36m(train_cnn_ray_tune pid=1363091)[0m 
[1m111/159[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m0s[0m 18ms/step
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
[1m124/159[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m0s[0m 18ms/step
[1m127/159[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m0s[0m 18ms/step
[36m(train_cnn_ray_tune pid=1363101)[0m Epoch 24/27
[36m(train_cnn_ray_tune pid=1363101)[0m 
[1m  1/547[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m49s[0m 90ms/step - accuracy: 0.6562 - loss: 1.2110
[36m(train_cnn_ray_tune pid=1363091)[0m 
[1m131/159[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m0s[0m 18ms/step
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[36m(train_cnn_ray_tune pid=1363068)[0m 
[1m1092/1093[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m0s[0m 32ms/step - accuracy: 0.5289 - loss: 1.3472[32m [repeated 5x across cluster][0m
[36m(train_cnn_ray_tune pid=1363091)[0m 
[1m139/159[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m0s[0m 18ms/step
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363091)[0m 
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Trial trial_b4529 finished iteration 1 at 2025-11-08 18:31:36. Total running time: 14min 50s
╭──────────────────────────────────────╮
│ Trial trial_b4529 result             │
├──────────────────────────────────────┤
│ checkpoint_dir_name                  │
│ time_this_iter_s             886.932 │
│ time_total_s                 886.932 │
│ training_iteration                 1 │
│ val_accuracy                 0.36225 │
╰──────────────────────────────────────╯

[36m(train_cnn_ray_tune pid=1363091)[0m /home/simur/git/uniovi-simur-wearablepermed-ml/.venv/lib/python3.12/site-packages/ray/train/_internal/session.py:772: RayDeprecationWarning: `ray.train.report` should be switched to `ray.tune.report` when running in a function passed to Ray Tune. This will be an error in the future. See this issue for more context: https://github.com/ray-project/ray/issues/49454
[36m(train_cnn_ray_tune pid=1363091)[0m   _log_deprecation_warning(
Trial trial_b4529 completed after 1 iterations at 2025-11-08 18:31:36. Total running time: 14min 50s
[36m(train_cnn_ray_tune pid=1363075)[0m Epoch 24/29
[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
[1m   1/1093[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m1:37[0m 89ms/step - accuracy: 0.7500 - loss: 1.0735
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
[1m 813/1093[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m8s[0m 31ms/step - accuracy: 0.1148 - loss: 2.4149[32m [repeated 2x across cluster][0m
[36m(train_cnn_ray_tune pid=1363050)[0m 
[1m 851/1093[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m7s[0m 31ms/step - accuracy: 0.1151 - loss: 2.4149
[1m 853/1093[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m7s[0m 31ms/step - accuracy: 0.1151 - loss: 2.4149[32m [repeated 19x across cluster][0m
[36m(train_cnn_ray_tune pid=1363068)[0m Epoch 12/16
[36m(train_cnn_ray_tune pid=1363107)[0m 
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[1m270/547[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m7s[0m 27ms/step - accuracy: 0.4137 - loss: 1.7566
[1m272/547[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m7s[0m 27ms/step - accuracy: 0.4137 - loss: 1.7566
[36m(train_cnn_ray_tune pid=1363075)[0m 
[1m221/547[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m8s[0m 25ms/step - accuracy: 0.3727 - loss: 1.8411
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[1m225/547[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m7s[0m 25ms/step - accuracy: 0.3725 - loss: 1.8410
[36m(train_cnn_ray_tune pid=1363077)[0m 
[1m547/547[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m17s[0m 31ms/step - accuracy: 0.4229 - loss: 1.7471 - val_accuracy: 0.2796 - val_loss: 2.0835
[36m(train_cnn_ray_tune pid=1363077)[0m Epoch 25/25
[36m(train_cnn_ray_tune pid=1363101)[0m 
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[1m390/547[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m4s[0m 26ms/step - accuracy: 0.5450 - loss: 1.3312[32m [repeated 103x across cluster][0m
[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
[1m  1/547[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m50s[0m 92ms/step - accuracy: 0.2812 - loss: 1.8505
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[1m1033/1093[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m1s[0m 30ms/step - accuracy: 0.1164 - loss: 2.4145[32m [repeated 34x across cluster][0m
[36m(train_cnn_ray_tune pid=1363107)[0m 
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Trial status: 13 TERMINATED | 7 RUNNING
Current time: 2025-11-08 18:31:48. Total running time: 15min 2s
Logical resource usage: 7.0/20 CPUs, 0/1 GPUs (0.0/1.0 accelerator_type:G)
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name     status         N_capas   optimizador     funcion_activacion       tamanho_minilote     numero_filtros     tamanho_filtro     num_resblocks     tasa_aprendizaje     epochs     iter     total time (s)     val_accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   16                 64                  5                 1          0.00499828          23                                              │
│ trial_b4529    RUNNING              3   adam            tanh                                   32                 32                  3                 0          3.58603e-05         27                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   32                 32                  5                 1          1.79994e-05         28                                              │
│ trial_b4529    RUNNING              3   rmsprop         relu                                   16                 64                  3                 1          4.24056e-05         16                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   32                 32                  3                 0          1.01166e-05         29                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   16                 96                  3                 1          1.51945e-05         28                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   32                 32                  5                 0          1.67679e-05         25                                              │
│ trial_b4529    TERMINATED           2   adam            tanh                                   16                 96                  5                 1          0.00438546          17        1            705.846         0.304545 │
│ trial_b4529    TERMINATED           3   rmsprop         relu                                   32                 32                  5                 1          0.000492984         27        1            393.446         0.413636 │
│ trial_b4529    TERMINATED           2   rmsprop         tanh                                   32                 64                  5                 0          0.00159181          26        1            330.548         0.429447 │
│ trial_b4529    TERMINATED           2   adam            tanh                                   16                 32                  3                 0          0.00499085          23        1            699.029         0.35336  │
│ trial_b4529    TERMINATED           2   rmsprop         tanh                                   16                 64                  5                 1          0.00024729          19        1            644.6           0.38083  │
│ trial_b4529    TERMINATED           3   rmsprop         tanh                                   16                 96                  5                 0          0.000114875         22        1            842.141         0.341897 │
│ trial_b4529    TERMINATED           3   rmsprop         tanh                                   32                 32                  3                 0          0.000134897         21        1            564.972         0.380237 │
│ trial_b4529    TERMINATED           3   adam            relu                                   32                 32                  3                 0          0.000235024         27        1            489.257         0.432213 │
│ trial_b4529    TERMINATED           2   rmsprop         relu                                   32                 96                  5                 1          0.000352068         23        1            376.99          0.418577 │
│ trial_b4529    TERMINATED           3   adam            tanh                                   16                 64                  3                 0          0.000419667         20        1            699.765         0.434387 │
│ trial_b4529    TERMINATED           3   rmsprop         relu                                   32                 64                  3                 0          0.00199625          25        1            555.076         0.461858 │
│ trial_b4529    TERMINATED           2   rmsprop         relu                                   16                 96                  5                 0          0.00195981          26        1            758.568         0.451976 │
│ trial_b4529    TERMINATED           3   rmsprop         tanh                                   16                 96                  3                 0          3.04652e-05         25        1            886.932         0.362253 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
[36m(train_cnn_ray_tune pid=1363107)[0m 
[1m547/547[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m17s[0m 30ms/step - accuracy: 0.4149 - loss: 1.7559 - val_accuracy: 0.2915 - val_loss: 2.0624
[36m(train_cnn_ray_tune pid=1363107)[0m Epoch 24/28
[36m(train_cnn_ray_tune pid=1363077)[0m 
[1m257/547[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m6s[0m 24ms/step - accuracy: 0.4205 - loss: 1.7249
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
[1m 390/1093[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m18s[0m 26ms/step - accuracy: 0.5483 - loss: 1.2736[32m [repeated 13x across cluster][0m
[36m(train_cnn_ray_tune pid=1363101)[0m 
[1m547/547[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m16s[0m 29ms/step - accuracy: 0.5441 - loss: 1.3328 - val_accuracy: 0.3676 - val_loss: 1.7684
[36m(train_cnn_ray_tune pid=1363101)[0m Epoch 25/27
[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
[1m 975/1093[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m3s[0m 31ms/step - accuracy: 0.5573 - loss: 1.3789
[1m 978/1093[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m3s[0m 31ms/step - accuracy: 0.5573 - loss: 1.3789[32m [repeated 41x across cluster][0m
[36m(train_cnn_ray_tune pid=1363050)[0m 
[1m1093/1093[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m37s[0m 34ms/step - accuracy: 0.1167 - loss: 2.4147 - val_accuracy: 0.1132 - val_loss: 2.5486
[36m(train_cnn_ray_tune pid=1363050)[0m 
[1m   1/1093[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m1:29[0m 82ms/step - accuracy: 0.1250 - loss: 2.3863
[1m   3/1093[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m29s[0m 27ms/step - accuracy: 0.1701 - loss: 2.3880 
[36m(train_cnn_ray_tune pid=1363101)[0m 
[1m  1/547[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m43s[0m 79ms/step - accuracy: 0.7188 - loss: 1.0931
[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
[1m130/547[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m9s[0m 24ms/step - accuracy: 0.5585 - loss: 1.2881 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[1m472/547[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m1s[0m 24ms/step - accuracy: 0.4215 - loss: 1.7257[32m [repeated 83x across cluster][0m
[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m Epoch 25/29[32m [repeated 2x across cluster][0m
[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
[1m 1/75[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m39s[0m 531ms/step
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
[1m14/75[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m0s[0m 8ms/step
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
[1m   1/1093[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m1:31[0m 83ms/step - accuracy: 0.5000 - loss: 1.4900
[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
[1m54/75[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m0s[0m 10ms/step
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
[1m74/75[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m0s[0m 11ms/step
[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
[1m75/75[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 18ms/step
[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
[1m 32/159[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m1s[0m 11ms/step
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[36m(train_cnn_ray_tune pid=1363061)[0m Epoch 11/28
[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m Epoch 25/28
[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
[1m  1/547[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m47s[0m 87ms/step - accuracy: 0.3438 - loss: 1.7653
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
[1m141/159[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m0s[0m 11ms/step
[36m(train_cnn_ray_tune pid=1363077)[0m /home/simur/git/uniovi-simur-wearablepermed-ml/.venv/lib/python3.12/site-packages/ray/train/_internal/session.py:772: RayDeprecationWarning: `ray.train.report` should be switched to `ray.tune.report` when running in a function passed to Ray Tune. This will be an error in the future. See this issue for more context: https://github.com/ray-project/ray/issues/49454
[36m(train_cnn_ray_tune pid=1363077)[0m   _log_deprecation_warning(
[36m(train_cnn_ray_tune pid=1363107)[0m 
[1m 20/547[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m13s[0m 25ms/step - accuracy: 0.4202 - loss: 1.7202
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[36m(train_cnn_ray_tune pid=1363077)[0m 
[1m146/159[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m0s[0m 11ms/step
[1m151/159[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m0s[0m 11ms/step
[36m(train_cnn_ray_tune pid=1363107)[0m 
[1m 25/547[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m12s[0m 24ms/step - accuracy: 0.4189 - loss: 1.7271
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[36m(train_cnn_ray_tune pid=1363077)[0m 
[1m155/159[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m0s[0m 11ms/step
[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363077)[0m 
[1m159/159[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m2s[0m 11ms/step

Trial trial_b4529 finished iteration 1 at 2025-11-08 18:32:02. Total running time: 15min 16s
╭──────────────────────────────────────╮
│ Trial trial_b4529 result             │
├──────────────────────────────────────┤
│ checkpoint_dir_name                  │
│ time_this_iter_s             912.916 │
│ time_total_s                 912.916 │
│ training_iteration                 1 │
│ val_accuracy                 0.28202 │
╰──────────────────────────────────────╯

Trial trial_b4529 completed after 1 iterations at 2025-11-08 18:32:02. Total running time: 15min 16s
[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m Epoch 26/29[32m [repeated 2x across cluster][0m
[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
[1m16/75[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m0s[0m 11ms/step
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m /home/simur/git/uniovi-simur-wearablepermed-ml/.venv/lib/python3.12/site-packages/ray/train/_internal/session.py:772: RayDeprecationWarning: `ray.train.report` should be switched to `ray.tune.report` when running in a function passed to Ray Tune. This will be an error in the future. See this issue for more context: https://github.com/ray-project/ray/issues/49454
[36m(train_cnn_ray_tune pid=1363068)[0m   _log_deprecation_warning(
[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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[36m(train_cnn_ray_tune pid=1363068)[0m 
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Trial trial_b4529 finished iteration 1 at 2025-11-08 18:32:14. Total running time: 15min 28s
╭──────────────────────────────────────╮
│ Trial trial_b4529 result             │
├──────────────────────────────────────┤
│ checkpoint_dir_name                  │
│ time_this_iter_s             925.147 │
│ time_total_s                 925.147 │
│ training_iteration                 1 │
│ val_accuracy                 0.36601 │
╰──────────────────────────────────────╯

Trial trial_b4529 completed after 1 iterations at 2025-11-08 18:32:14. Total running time: 15min 28s
[36m(train_cnn_ray_tune pid=1363107)[0m 
[1m547/547[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m13s[0m 24ms/step - accuracy: 0.4238 - loss: 1.7265 - val_accuracy: 0.2875 - val_loss: 2.0669
[36m(train_cnn_ray_tune pid=1363107)[0m Epoch 26/28
[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[1m 664/1093[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m10s[0m 25ms/step - accuracy: 0.5806 - loss: 1.3015[32m [repeated 25x across cluster][0m
[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
[1m1043/1093[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m1s[0m 23ms/step - accuracy: 0.1135 - loss: 2.4251[32m [repeated 23x across cluster][0m
[36m(train_cnn_ray_tune pid=1363050)[0m 
[1m1070/1093[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m0s[0m 23ms/step - accuracy: 0.1136 - loss: 2.4250
[1m1073/1093[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m0s[0m 23ms/step - accuracy: 0.1136 - loss: 2.4250[32m [repeated 31x across cluster][0m
[36m(train_cnn_ray_tune pid=1363107)[0m 
[1m 40/547[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m10s[0m 20ms/step - accuracy: 0.4188 - loss: 1.6974
[1m 43/547[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m10s[0m 20ms/step - accuracy: 0.4204 - loss: 1.6955[32m [repeated 7x across cluster][0m
[36m(train_cnn_ray_tune pid=1363107)[0m 
[1m 49/547[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m9s[0m 20ms/step - accuracy: 0.4232 - loss: 1.6915 [32m [repeated 2x across cluster][0m

Trial status: 15 TERMINATED | 5 RUNNING
Current time: 2025-11-08 18:32:18. Total running time: 15min 32s
Logical resource usage: 5.0/20 CPUs, 0/1 GPUs (0.0/1.0 accelerator_type:G)
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name     status         N_capas   optimizador     funcion_activacion       tamanho_minilote     numero_filtros     tamanho_filtro     num_resblocks     tasa_aprendizaje     epochs     iter     total time (s)     val_accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   16                 64                  5                 1          0.00499828          23                                              │
│ trial_b4529    RUNNING              3   adam            tanh                                   32                 32                  3                 0          3.58603e-05         27                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   32                 32                  5                 1          1.79994e-05         28                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   32                 32                  3                 0          1.01166e-05         29                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   16                 96                  3                 1          1.51945e-05         28                                              │
│ trial_b4529    TERMINATED           2   adam            tanh                                   16                 96                  5                 1          0.00438546          17        1            705.846         0.304545 │
│ trial_b4529    TERMINATED           3   rmsprop         relu                                   32                 32                  5                 1          0.000492984         27        1            393.446         0.413636 │
│ trial_b4529    TERMINATED           2   rmsprop         tanh                                   32                 64                  5                 0          0.00159181          26        1            330.548         0.429447 │
│ trial_b4529    TERMINATED           2   adam            tanh                                   16                 32                  3                 0          0.00499085          23        1            699.029         0.35336  │
│ trial_b4529    TERMINATED           2   rmsprop         tanh                                   16                 64                  5                 1          0.00024729          19        1            644.6           0.38083  │
│ trial_b4529    TERMINATED           3   rmsprop         tanh                                   16                 96                  5                 0          0.000114875         22        1            842.141         0.341897 │
│ trial_b4529    TERMINATED           3   rmsprop         tanh                                   32                 32                  3                 0          0.000134897         21        1            564.972         0.380237 │
│ trial_b4529    TERMINATED           3   adam            relu                                   32                 32                  3                 0          0.000235024         27        1            489.257         0.432213 │
│ trial_b4529    TERMINATED           3   rmsprop         relu                                   16                 64                  3                 1          4.24056e-05         16        1            925.147         0.366008 │
│ trial_b4529    TERMINATED           2   rmsprop         relu                                   32                 96                  5                 1          0.000352068         23        1            376.99          0.418577 │
│ trial_b4529    TERMINATED           3   adam            tanh                                   16                 64                  3                 0          0.000419667         20        1            699.765         0.434387 │
│ trial_b4529    TERMINATED           3   rmsprop         relu                                   32                 64                  3                 0          0.00199625          25        1            555.076         0.461858 │
│ trial_b4529    TERMINATED           2   rmsprop         relu                                   16                 96                  5                 0          0.00195981          26        1            758.568         0.451976 │
│ trial_b4529    TERMINATED           3   rmsprop         tanh                                   16                 96                  3                 0          3.04652e-05         25        1            886.932         0.362253 │
│ trial_b4529    TERMINATED           3   rmsprop         tanh                                   32                 32                  5                 0          1.67679e-05         25        1            912.916         0.282016 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
[36m(train_cnn_ray_tune pid=1363101)[0m 
[1m 1/75[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m37s[0m 502ms/step
[1m 9/75[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m0s[0m 6ms/step   
[36m(train_cnn_ray_tune pid=1363101)[0m 
[1m18/75[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m0s[0m 6ms/step
[36m(train_cnn_ray_tune pid=1363101)[0m 
[1m26/75[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m0s[0m 6ms/step
[1m34/75[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m0s[0m 6ms/step
[36m(train_cnn_ray_tune pid=1363075)[0m 
[1m  5/547[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m7s[0m 13ms/step - accuracy: 0.3193 - loss: 1.9182 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
[1m74/75[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m0s[0m 7ms/step
[36m(train_cnn_ray_tune pid=1363101)[0m 
[1m75/75[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 12ms/step
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[36m(train_cnn_ray_tune pid=1363101)[0m 
[1m  9/159[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m0s[0m 6ms/step 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
[1m 25/159[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m0s[0m 6ms/step
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[36m(train_cnn_ray_tune pid=1363101)[0m 
[1m 41/159[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m0s[0m 6ms/step
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[36m(train_cnn_ray_tune pid=1363101)[0m 
[1m 58/159[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m0s[0m 6ms/step
[1m 66/159[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m0s[0m 6ms/step
[36m(train_cnn_ray_tune pid=1363075)[0m 
[1m547/547[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m12s[0m 22ms/step - accuracy: 0.3798 - loss: 1.7957 - val_accuracy: 0.3273 - val_loss: 1.8643[32m [repeated 2x across cluster][0m
[36m(train_cnn_ray_tune pid=1363075)[0m Epoch 27/29
[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m Epoch 13/23
[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
[1m   1/1093[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m1:09[0m 63ms/step - accuracy: 0.0625 - loss: 2.4049[32m [repeated 2x across cluster][0m
[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
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[36m(train_cnn_ray_tune pid=1363101)[0m 
[1m 98/159[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m0s[0m 7ms/step
[1m105/159[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m0s[0m 7ms/step
[36m(train_cnn_ray_tune pid=1363101)[0m 
[1m111/159[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m0s[0m 7ms/step
[36m(train_cnn_ray_tune pid=1363101)[0m 
[1m118/159[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m0s[0m 7ms/step
[36m(train_cnn_ray_tune pid=1363107)[0m 
[1m329/547[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m3s[0m 16ms/step - accuracy: 0.4383 - loss: 1.6896
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[36m(train_cnn_ray_tune pid=1363075)[0m 
[1m135/547[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m5s[0m 14ms/step - accuracy: 0.3759 - loss: 1.7950[32m [repeated 15x across cluster][0m
[36m(train_cnn_ray_tune pid=1363101)[0m 
[1m125/159[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m0s[0m 7ms/step
[36m(train_cnn_ray_tune pid=1363101)[0m 
[1m131/159[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m0s[0m 7ms/step
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[36m(train_cnn_ray_tune pid=1363101)[0m 
[1m144/159[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m0s[0m 7ms/step
[1m150/159[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m0s[0m 8ms/step
[36m(train_cnn_ray_tune pid=1363101)[0m /home/simur/git/uniovi-simur-wearablepermed-ml/.venv/lib/python3.12/site-packages/ray/train/_internal/session.py:772: RayDeprecationWarning: `ray.train.report` should be switched to `ray.tune.report` when running in a function passed to Ray Tune. This will be an error in the future. See this issue for more context: https://github.com/ray-project/ray/issues/49454
[36m(train_cnn_ray_tune pid=1363101)[0m   _log_deprecation_warning(
[36m(train_cnn_ray_tune pid=1363101)[0m 
[1m156/159[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m0s[0m 8ms/step
[1m159/159[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m1s[0m 8ms/step

Trial trial_b4529 finished iteration 1 at 2025-11-08 18:32:21. Total running time: 15min 34s
╭──────────────────────────────────────╮
│ Trial trial_b4529 result             │
├──────────────────────────────────────┤
│ checkpoint_dir_name                  │
│ time_this_iter_s             931.862 │
│ time_total_s                 931.862 │
│ training_iteration                 1 │
│ val_accuracy                 0.37273 │
╰──────────────────────────────────────╯

Trial trial_b4529 completed after 1 iterations at 2025-11-08 18:32:21. Total running time: 15min 34s
[36m(train_cnn_ray_tune pid=1363050)[0m 
[1m  49/1093[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m21s[0m 20ms/step - accuracy: 0.1154 - loss: 2.4697
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[36m(train_cnn_ray_tune pid=1363050)[0m 
[1m  28/1093[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m21s[0m 20ms/step - accuracy: 0.1168 - loss: 2.4743[32m [repeated 15x across cluster][0m
[36m(train_cnn_ray_tune pid=1363061)[0m 
[1m 939/1093[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m3s[0m 24ms/step - accuracy: 0.5798 - loss: 1.3045[32m [repeated 19x across cluster][0m
[36m(train_cnn_ray_tune pid=1363061)[0m 
[1m 960/1093[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m3s[0m 23ms/step - accuracy: 0.5798 - loss: 1.3046
[1m 963/1093[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m3s[0m 23ms/step - accuracy: 0.5798 - loss: 1.3047[32m [repeated 33x across cluster][0m
[36m(train_cnn_ray_tune pid=1363107)[0m 
[1m547/547[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m10s[0m 18ms/step - accuracy: 0.4379 - loss: 1.6911 - val_accuracy: 0.2911 - val_loss: 2.0634
[36m(train_cnn_ray_tune pid=1363107)[0m Epoch 27/28
[36m(train_cnn_ray_tune pid=1363107)[0m 
[1m  1/547[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m31s[0m 57ms/step - accuracy: 0.3438 - loss: 1.9732
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
[1m   1/1093[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m1:07[0m 62ms/step - accuracy: 0.5625 - loss: 1.3868
[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m Epoch 28/29[32m [repeated 2x across cluster][0m
[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
[1m  1/547[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m39s[0m 72ms/step - accuracy: 0.3438 - loss: 1.8829
[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m Epoch 28/28
[36m(train_cnn_ray_tune pid=1363107)[0m 
[1m  1/547[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m39s[0m 72ms/step - accuracy: 0.2500 - loss: 1.6981
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
[1m  1/547[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m43s[0m 81ms/step - accuracy: 0.3125 - loss: 1.7796
[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m Epoch 29/29
[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m Epoch 14/23
[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
[1m   1/1093[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m1:17[0m 71ms/step - accuracy: 0.2500 - loss: 2.3440
[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
[1m 1/75[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m44s[0m 596ms/step
[1m 8/75[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m0s[0m 8ms/step   
[36m(train_cnn_ray_tune pid=1363107)[0m 
[1m15/75[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m0s[0m 8ms/step
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[36m(train_cnn_ray_tune pid=1363107)[0m 
[1m30/75[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m0s[0m 8ms/step
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
[1m45/75[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m0s[0m 8ms/step
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[36m(train_cnn_ray_tune pid=1363107)[0m 
[1m60/75[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m0s[0m 7ms/step
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[36m(train_cnn_ray_tune pid=1363107)[0m /home/simur/git/uniovi-simur-wearablepermed-ml/.venv/lib/python3.12/site-packages/ray/train/_internal/session.py:772: RayDeprecationWarning: `ray.train.report` should be switched to `ray.tune.report` when running in a function passed to Ray Tune. This will be an error in the future. See this issue for more context: https://github.com/ray-project/ray/issues/49454
[36m(train_cnn_ray_tune pid=1363107)[0m   _log_deprecation_warning(
[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
[1m75/75[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 14ms/step
[36m(train_cnn_ray_tune pid=1363107)[0m 
[1m75/75[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m2s[0m 15ms/step
[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
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[36m(train_cnn_ray_tune pid=1363107)[0m 
[1m159/159[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m1s[0m 6ms/step

Trial trial_b4529 finished iteration 1 at 2025-11-08 18:32:48. Total running time: 16min 2s
╭──────────────────────────────────────╮
│ Trial trial_b4529 result             │
├──────────────────────────────────────┤
│ checkpoint_dir_name                  │
│ time_this_iter_s             959.246 │
│ time_total_s                 959.246 │
│ training_iteration                 1 │
│ val_accuracy                 0.28142 │
╰──────────────────────────────────────╯
[36m(train_cnn_ray_tune pid=1363075)[0m 
[1m 1/75[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m31s[0m 430ms/step

Trial trial_b4529 completed after 1 iterations at 2025-11-08 18:32:48. Total running time: 16min 2s
[36m(train_cnn_ray_tune pid=1363075)[0m 
[1m12/75[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m0s[0m 5ms/step   
[1m23/75[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m0s[0m 5ms/step

Trial status: 17 TERMINATED | 3 RUNNING
Current time: 2025-11-08 18:32:48. Total running time: 16min 2s
Logical resource usage: 3.0/20 CPUs, 0/1 GPUs (0.0/1.0 accelerator_type:G)
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name     status         N_capas   optimizador     funcion_activacion       tamanho_minilote     numero_filtros     tamanho_filtro     num_resblocks     tasa_aprendizaje     epochs     iter     total time (s)     val_accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   16                 64                  5                 1          0.00499828          23                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   32                 32                  3                 0          1.01166e-05         29                                              │
│ trial_b4529    RUNNING              3   rmsprop         tanh                                   16                 96                  3                 1          1.51945e-05         28                                              │
│ trial_b4529    TERMINATED           2   adam            tanh                                   16                 96                  5                 1          0.00438546          17        1            705.846         0.304545 │
│ trial_b4529    TERMINATED           3   rmsprop         relu                                   32                 32                  5                 1          0.000492984         27        1            393.446         0.413636 │
│ trial_b4529    TERMINATED           2   rmsprop         tanh                                   32                 64                  5                 0          0.00159181          26        1            330.548         0.429447 │
│ trial_b4529    TERMINATED           3   adam            tanh                                   32                 32                  3                 0          3.58603e-05         27        1            931.862         0.372727 │
│ trial_b4529    TERMINATED           2   adam            tanh                                   16                 32                  3                 0          0.00499085          23        1            699.029         0.35336  │
│ trial_b4529    TERMINATED           2   rmsprop         tanh                                   16                 64                  5                 1          0.00024729          19        1            644.6           0.38083  │
│ trial_b4529    TERMINATED           3   rmsprop         tanh                                   16                 96                  5                 0          0.000114875         22        1            842.141         0.341897 │
│ trial_b4529    TERMINATED           3   rmsprop         tanh                                   32                 32                  3                 0          0.000134897         21        1            564.972         0.380237 │
│ trial_b4529    TERMINATED           3   adam            relu                                   32                 32                  3                 0          0.000235024         27        1            489.257         0.432213 │
│ trial_b4529    TERMINATED           3   rmsprop         tanh                                   32                 32                  5                 1          1.79994e-05         28        1            959.246         0.281423 │
│ trial_b4529    TERMINATED           3   rmsprop         relu                                   16                 64                  3                 1          4.24056e-05         16        1            925.147         0.366008 │
│ trial_b4529    TERMINATED           2   rmsprop         relu                                   32                 96                  5                 1          0.000352068         23        1            376.99          0.418577 │
│ trial_b4529    TERMINATED           3   adam            tanh                                   16                 64                  3                 0          0.000419667         20        1            699.765         0.434387 │
│ trial_b4529    TERMINATED           3   rmsprop         relu                                   32                 64                  3                 0          0.00199625          25        1            555.076         0.461858 │
│ trial_b4529    TERMINATED           2   rmsprop         relu                                   16                 96                  5                 0          0.00195981          26        1            758.568         0.451976 │
│ trial_b4529    TERMINATED           3   rmsprop         tanh                                   16                 96                  3                 0          3.04652e-05         25        1            886.932         0.362253 │
│ trial_b4529    TERMINATED           3   rmsprop         tanh                                   32                 32                  5                 0          1.67679e-05         25        1            912.916         0.282016 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
[36m(train_cnn_ray_tune pid=1363075)[0m 
[1m  1/159[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m5s[0m 38ms/step
[1m 12/159[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m0s[0m 5ms/step 
[36m(train_cnn_ray_tune pid=1363061)[0m 
[1m1093/1093[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m23s[0m 21ms/step - accuracy: 0.5980 - loss: 1.2526 - val_accuracy: 0.3646 - val_loss: 1.9212
[36m(train_cnn_ray_tune pid=1363061)[0m Epoch 13/28
[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
[1m   4/1093[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m19s[0m 18ms/step - accuracy: 0.6706 - loss: 1.0244 
[1m   7/1093[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m19s[0m 18ms/step - accuracy: 0.6548 - loss: 1.1085

Trial trial_b4529 finished iteration 1 at 2025-11-08 18:32:50. Total running time: 16min 3s
╭──────────────────────────────────────╮
│ Trial trial_b4529 result             │
├──────────────────────────────────────┤
│ checkpoint_dir_name                  │
│ time_this_iter_s             961.056 │
│ time_total_s                 961.056 │
│ training_iteration                 1 │
│ val_accuracy                 0.33735 │
╰──────────────────────────────────────╯

Trial trial_b4529 completed after 1 iterations at 2025-11-08 18:32:50. Total running time: 16min 4s
[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
[1m75/75[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 9ms/step
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363075)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m Epoch 15/23
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m 
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[36m(train_cnn_ray_tune pid=1363061)[0m /home/simur/git/uniovi-simur-wearablepermed-ml/.venv/lib/python3.12/site-packages/ray/train/_internal/session.py:772: RayDeprecationWarning: `ray.train.report` should be switched to `ray.tune.report` when running in a function passed to Ray Tune. This will be an error in the future. See this issue for more context: https://github.com/ray-project/ray/issues/49454[32m [repeated 2x across cluster][0m
[36m(train_cnn_ray_tune pid=1363061)[0m   _log_deprecation_warning([32m [repeated 2x across cluster][0m
2025-11-08 18:33:14,063	INFO tune.py:1009 -- Wrote the latest version of all result files and experiment state to '/mnt/nvme1n2/git/uniovi-simur-wearablepermed-data/output/Paper_results/cases_dataset_PI/case_PI_CAPTURE24_acc_gyr_17_classes/CAPTURE24_hyperparameters_tuning' in 0.0061s.
I0000 00:00:1762623194.194525 1361440 gpu_device.cc:2019] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 13760 MB memory:  -> device: 0, name: NVIDIA GeForce RTX 4060 Ti, pci bus id: 0000:65:00.0, compute capability: 8.9
[36m(train_cnn_ray_tune pid=1363061)[0m 
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Trial trial_b4529 finished iteration 1 at 2025-11-08 18:33:10. Total running time: 16min 24s
╭──────────────────────────────────────╮
│ Trial trial_b4529 result             │
├──────────────────────────────────────┤
│ checkpoint_dir_name                  │
│ time_this_iter_s             981.312 │
│ time_total_s                 981.312 │
│ training_iteration                 1 │
│ val_accuracy                 0.36166 │
╰──────────────────────────────────────╯

Trial trial_b4529 completed after 1 iterations at 2025-11-08 18:33:10. Total running time: 16min 24s
[36m(train_cnn_ray_tune pid=1363050)[0m 
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[36m(train_cnn_ray_tune pid=1363050)[0m 
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Trial trial_b4529 finished iteration 1 at 2025-11-08 18:33:14. Total running time: 16min 27s
╭──────────────────────────────────────╮
│ Trial trial_b4529 result             │
├──────────────────────────────────────┤
│ checkpoint_dir_name                  │
│ time_this_iter_s             984.676 │
│ time_total_s                 984.676 │
│ training_iteration                 1 │
│ val_accuracy                 0.13814 │
╰──────────────────────────────────────╯

Trial trial_b4529 completed after 1 iterations at 2025-11-08 18:33:14. Total running time: 16min 27s

Trial status: 20 TERMINATED
Current time: 2025-11-08 18:33:14. Total running time: 16min 27s
Logical resource usage: 1.0/20 CPUs, 0/1 GPUs (0.0/1.0 accelerator_type:G)
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name     status         N_capas   optimizador     funcion_activacion       tamanho_minilote     numero_filtros     tamanho_filtro     num_resblocks     tasa_aprendizaje     epochs     iter     total time (s)     val_accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ trial_b4529    TERMINATED           2   adam            tanh                                   16                 96                  5                 1          0.00438546          17        1            705.846         0.304545 │
│ trial_b4529    TERMINATED           3   rmsprop         tanh                                   16                 64                  5                 1          0.00499828          23        1            984.676         0.138142 │
│ trial_b4529    TERMINATED           3   rmsprop         relu                                   32                 32                  5                 1          0.000492984         27        1            393.446         0.413636 │
│ trial_b4529    TERMINATED           2   rmsprop         tanh                                   32                 64                  5                 0          0.00159181          26        1            330.548         0.429447 │
│ trial_b4529    TERMINATED           3   adam            tanh                                   32                 32                  3                 0          3.58603e-05         27        1            931.862         0.372727 │
│ trial_b4529    TERMINATED           2   adam            tanh                                   16                 32                  3                 0          0.00499085          23        1            699.029         0.35336  │
│ trial_b4529    TERMINATED           2   rmsprop         tanh                                   16                 64                  5                 1          0.00024729          19        1            644.6           0.38083  │
│ trial_b4529    TERMINATED           3   rmsprop         tanh                                   16                 96                  5                 0          0.000114875         22        1            842.141         0.341897 │
│ trial_b4529    TERMINATED           3   rmsprop         tanh                                   32                 32                  3                 0          0.000134897         21        1            564.972         0.380237 │
│ trial_b4529    TERMINATED           3   adam            relu                                   32                 32                  3                 0          0.000235024         27        1            489.257         0.432213 │
│ trial_b4529    TERMINATED           3   rmsprop         tanh                                   32                 32                  5                 1          1.79994e-05         28        1            959.246         0.281423 │
│ trial_b4529    TERMINATED           3   rmsprop         relu                                   16                 64                  3                 1          4.24056e-05         16        1            925.147         0.366008 │
│ trial_b4529    TERMINATED           2   rmsprop         relu                                   32                 96                  5                 1          0.000352068         23        1            376.99          0.418577 │
│ trial_b4529    TERMINATED           3   rmsprop         tanh                                   32                 32                  3                 0          1.01166e-05         29        1            961.056         0.337352 │
│ trial_b4529    TERMINATED           3   adam            tanh                                   16                 64                  3                 0          0.000419667         20        1            699.765         0.434387 │
│ trial_b4529    TERMINATED           3   rmsprop         relu                                   32                 64                  3                 0          0.00199625          25        1            555.076         0.461858 │
│ trial_b4529    TERMINATED           3   rmsprop         tanh                                   16                 96                  3                 1          1.51945e-05         28        1            981.312         0.36166  │
│ trial_b4529    TERMINATED           2   rmsprop         relu                                   16                 96                  5                 0          0.00195981          26        1            758.568         0.451976 │
│ trial_b4529    TERMINATED           3   rmsprop         tanh                                   16                 96                  3                 0          3.04652e-05         25        1            886.932         0.362253 │
│ trial_b4529    TERMINATED           3   rmsprop         tanh                                   32                 32                  5                 0          1.67679e-05         25        1            912.916         0.282016 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯

Mejores hiperparámetros: {'N_capas': 3, 'optimizador': 'rmsprop', 'funcion_activacion': 'relu', 'tamanho_minilote': 32, 'numero_filtros': 64, 'tamanho_filtro': 3, 'num_resblocks': 0, 'tasa_aprendizaje': 0.0019962494565831652, 'epochs': 25}
Epoch 1/25
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
I0000 00:00:1762623195.818004 1401843 service.cc:152] XLA service 0x7d251000a9f0 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
I0000 00:00:1762623195.818045 1401843 service.cc:160]   StreamExecutor device (0): NVIDIA GeForce RTX 4060 Ti, Compute Capability 8.9
2025-11-08 18:33:15.844825: I tensorflow/compiler/mlir/tensorflow/utils/dump_mlir_util.cc:269] disabling MLIR crash reproducer, set env var `MLIR_CRASH_REPRODUCER_DIRECTORY` to enable.
I0000 00:00:1762623195.981994 1401843 cuda_dnn.cc:529] Loaded cuDNN version 91002
I0000 00:00:1762623197.680630 1401843 device_compiler.h:188] Compiled cluster using XLA!  This line is logged at most once for the lifetime of the process.

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2025-11-08 18:33:21.627747: I external/local_xla/xla/stream_executor/cuda/subprocess_compilation.cc:346] ptxas warning : Registers are spilled to local memory in function 'gemm_fusion_dot_92', 8 bytes spill stores, 8 bytes spill loads


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Epoch 2/25

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Epoch 3/25

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Epoch 4/25

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Epoch 5/25

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Epoch 6/25

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Epoch 7/25

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Saved model to disk.
[36m(train_cnn_ray_tune pid=1363050)[0m /home/simur/git/uniovi-simur-wearablepermed-ml/.venv/lib/python3.12/site-packages/ray/train/_internal/session.py:772: RayDeprecationWarning: `ray.train.report` should be switched to `ray.tune.report` when running in a function passed to Ray Tune. This will be an error in the future. See this issue for more context: https://github.com/ray-project/ray/issues/49454
[36m(train_cnn_ray_tune pid=1363050)[0m   _log_deprecation_warning(
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2025-11-08 18:33:44.707885: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2025-11-08 18:33:44.719391: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
E0000 00:00:1762623224.732860 1403498 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762623224.737105 1403498 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762623224.747147 1403498 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762623224.747167 1403498 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762623224.747169 1403498 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762623224.747171 1403498 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-08 18:33:44.750395: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
I0000 00:00:1762623227.108561 1403498 gpu_device.cc:2019] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 13760 MB memory:  -> device: 0, name: NVIDIA GeForce RTX 4060 Ti, pci bus id: 0000:65:00.0, compute capability: 8.9
1 GPU(s) detected and VRAM set to crossover mode..
Epoch 1/25
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
I0000 00:00:1762623228.501711 1403628 service.cc:152] XLA service 0x7d166800b870 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
I0000 00:00:1762623228.501767 1403628 service.cc:160]   StreamExecutor device (0): NVIDIA GeForce RTX 4060 Ti, Compute Capability 8.9
2025-11-08 18:33:48.532164: I tensorflow/compiler/mlir/tensorflow/utils/dump_mlir_util.cc:269] disabling MLIR crash reproducer, set env var `MLIR_CRASH_REPRODUCER_DIRECTORY` to enable.
I0000 00:00:1762623228.659125 1403628 cuda_dnn.cc:529] Loaded cuDNN version 91002
I0000 00:00:1762623230.364824 1403628 device_compiler.h:188] Compiled cluster using XLA!  This line is logged at most once for the lifetime of the process.

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2025-11-08 18:33:54.495933: I external/local_xla/xla/stream_executor/cuda/subprocess_compilation.cc:346] ptxas warning : Registers are spilled to local memory in function 'gemm_fusion_dot_92', 8 bytes spill stores, 8 bytes spill loads


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Epoch 2/25

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Epoch 3/25

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Epoch 4/25

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Epoch 5/25

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Epoch 6/25

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[1m 37/547[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.6994 - loss: 0.7854  
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Epoch 7/25

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[1m75/75[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 16ms/step 
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Saved model to disk.

=== EJECUCIÓN 1 ===

--- TRAIN (ejecución 1) ---

--- TEST (ejecución 1) ---
['CAMINAR CON LA COMPRA' 'CAMINAR CON MÓVIL O LIBRO' 'CAMINAR USUAL SPEED'
 'CAMINAR ZIGZAG' 'DE PIE BARRIENDO' 'DE PIE DOBLANDO TOALLAS'
 'DE PIE MOVIENDO LIBROS' 'DE PIE USANDO PC' 'FASE REPOSO CON K5'
 'INCREMENTAL CICLOERGOMETRO' 'SENTADO LEYENDO' 'SENTADO USANDO PC'
 'SENTADO VIENDO LA TV' 'SUBIR Y BAJAR ESCALERAS' 'TROTAR']
15
Mapeo de etiquetas: {'CAMINAR CON LA COMPRA': 0, 'CAMINAR CON MÓVIL O LIBRO': 1, 'CAMINAR USUAL SPEED': 2, 'CAMINAR ZIGZAG': 3, 'DE PIE BARRIENDO': 4, 'DE PIE DOBLANDO TOALLAS': 5, 'DE PIE MOVIENDO LIBROS': 6, 'DE PIE USANDO PC': 7, 'FASE REPOSO CON K5': 8, 'INCREMENTAL CICLOERGOMETRO': 9, 'SENTADO LEYENDO': 10, 'SENTADO USANDO PC': 11, 'SENTADO VIENDO LA TV': 12, 'SUBIR Y BAJAR ESCALERAS': 13, 'TROTAR': 14}
Loaded model from disk.
(2392, 6, 250)
(17480, 6, 250)

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[1m75/75[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m1s[0m 15ms/step

[1m  1/159[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m3s[0m 23ms/step
[1m 53/159[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m0s[0m 964us/step
[1m120/159[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m0s[0m 847us/step
[1m159/159[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 7ms/step  
[1m159/159[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m1s[0m 8ms/step
Global accuracy score (validation) = 43.72 [%]
Global F1 score (validation) = 41.95 [%]
[[5.]
 [5.]
 [5.]
 ...
 [9.]
 [9.]
 [9.]]
(2392, 1)
[[1.48677430e-03 1.99637935e-03 2.40641483e-03 ... 2.11888444e-04
  3.85847583e-04 1.42427438e-04]
 [5.42939175e-03 5.05681755e-03 4.90633119e-03 ... 4.62913234e-03
  2.42546038e-03 7.44353223e-04]
 [2.24697334e-03 1.69000856e-03 1.27104635e-03 ... 3.16128193e-04
  6.08961447e-04 1.60478463e-04]
 ...
 [5.63741196e-07 3.96539747e-07 9.30192883e-08 ... 5.75831473e-06
  8.62735033e-05 1.07102205e-04]
 [2.72924922e-07 3.86081176e-08 2.79559060e-08 ... 9.19186732e-07
  5.26352824e-06 3.43843385e-05]
 [1.45802530e-03 1.39551179e-03 1.66938640e-03 ... 3.29795450e-01
  8.67692288e-03 7.32306507e-04]]
(2392, 15)
-------------------------------------------------

Global accuracy score (train) = 74.39 [%]
Global accuracy score (test) = 45.82 [%]
Global F1 score (train) = 72.64 [%]
Global F1 score (test) = 44.91 [%]
                            precision    recall  f1-score   support

     CAMINAR CON LA COMPRA       0.23      0.20      0.21       161
 CAMINAR CON MÓVIL O LIBRO       0.27      0.35      0.31       161
       CAMINAR USUAL SPEED       0.28      0.37      0.32       161
            CAMINAR ZIGZAG       0.43      0.45      0.44       161
          DE PIE BARRIENDO       0.52      0.33      0.40       161
   DE PIE DOBLANDO TOALLAS       0.34      0.34      0.34       161
    DE PIE MOVIENDO LIBROS       0.37      0.35      0.36       161
          DE PIE USANDO PC       0.75      0.84      0.79       161
        FASE REPOSO CON K5       0.84      0.85      0.85       161
INCREMENTAL CICLOERGOMETRO       0.97      0.85      0.91       161
           SENTADO LEYENDO       0.00      0.00      0.00       161
         SENTADO USANDO PC       0.21      0.14      0.17       161
      SENTADO VIENDO LA TV       0.28      0.65      0.39       161
   SUBIR Y BAJAR ESCALERAS       0.41      0.40      0.41       161
                    TROTAR       0.89      0.80      0.84       138

                  accuracy                           0.46      2392
                 macro avg       0.45      0.46      0.45      2392
              weighted avg       0.45      0.46      0.45      2392


Accuracy capturado en la ejecución 1: 45.82 [%]
F1-score capturado en la ejecución 1: 44.91 [%]

=== EJECUCIÓN 2 ===

--- TRAIN (ejecución 2) ---

--- TEST (ejecución 2) ---
2025-11-08 18:34:15.287033: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2025-11-08 18:34:15.298514: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
E0000 00:00:1762623255.311865 1405284 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762623255.315841 1405284 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762623255.325857 1405284 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762623255.325875 1405284 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762623255.325878 1405284 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762623255.325879 1405284 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-08 18:34:15.329030: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
I0000 00:00:1762623257.708682 1405284 gpu_device.cc:2019] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 13762 MB memory:  -> device: 0, name: NVIDIA GeForce RTX 4060 Ti, pci bus id: 0000:65:00.0, compute capability: 8.9
1 GPU(s) detected and VRAM set to crossover mode..
Epoch 1/25
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
I0000 00:00:1762623259.127346 1405391 service.cc:152] XLA service 0x73c9e800c150 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
I0000 00:00:1762623259.127401 1405391 service.cc:160]   StreamExecutor device (0): NVIDIA GeForce RTX 4060 Ti, Compute Capability 8.9
2025-11-08 18:34:19.157021: I tensorflow/compiler/mlir/tensorflow/utils/dump_mlir_util.cc:269] disabling MLIR crash reproducer, set env var `MLIR_CRASH_REPRODUCER_DIRECTORY` to enable.
I0000 00:00:1762623259.288318 1405391 cuda_dnn.cc:529] Loaded cuDNN version 91002
I0000 00:00:1762623260.989345 1405391 device_compiler.h:188] Compiled cluster using XLA!  This line is logged at most once for the lifetime of the process.

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2025-11-08 18:34:24.953315: I external/local_xla/xla/stream_executor/cuda/subprocess_compilation.cc:346] ptxas warning : Registers are spilled to local memory in function 'gemm_fusion_dot_92', 8 bytes spill stores, 8 bytes spill loads

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Epoch 2/25

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Epoch 3/25

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[1m 36/547[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.5390 - loss: 1.2491  
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[1m257/547[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.5206 - loss: 1.2873
[1m293/547[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.5211 - loss: 1.2864
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Epoch 4/25

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Epoch 5/25

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Epoch 6/25

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Epoch 7/25

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Saved model to disk.
['CAMINAR CON LA COMPRA' 'CAMINAR CON MÓVIL O LIBRO' 'CAMINAR USUAL SPEED'
 'CAMINAR ZIGZAG' 'DE PIE BARRIENDO' 'DE PIE DOBLANDO TOALLAS'
 'DE PIE MOVIENDO LIBROS' 'DE PIE USANDO PC' 'FASE REPOSO CON K5'
 'INCREMENTAL CICLOERGOMETRO' 'SENTADO LEYENDO' 'SENTADO USANDO PC'
 'SENTADO VIENDO LA TV' 'SUBIR Y BAJAR ESCALERAS' 'TROTAR']
15
Mapeo de etiquetas: {'CAMINAR CON LA COMPRA': 0, 'CAMINAR CON MÓVIL O LIBRO': 1, 'CAMINAR USUAL SPEED': 2, 'CAMINAR ZIGZAG': 3, 'DE PIE BARRIENDO': 4, 'DE PIE DOBLANDO TOALLAS': 5, 'DE PIE MOVIENDO LIBROS': 6, 'DE PIE USANDO PC': 7, 'FASE REPOSO CON K5': 8, 'INCREMENTAL CICLOERGOMETRO': 9, 'SENTADO LEYENDO': 10, 'SENTADO USANDO PC': 11, 'SENTADO VIENDO LA TV': 12, 'SUBIR Y BAJAR ESCALERAS': 13, 'TROTAR': 14}
Loaded model from disk.
(2392, 6, 250)
(17480, 6, 250)

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[1m  1/159[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m2s[0m 16ms/step
[1m 61/159[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m0s[0m 836us/step
[1m127/159[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m0s[0m 797us/step
[1m159/159[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 8ms/step  
[1m159/159[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m1s[0m 8ms/step
Global accuracy score (validation) = 45.36 [%]
Global F1 score (validation) = 43.98 [%]
[[5.]
 [5.]
 [5.]
 ...
 [9.]
 [9.]
 [9.]]
(2392, 1)
[[6.5692625e-04 4.7663337e-04 6.3648768e-04 ... 1.5292662e-05
  7.7102421e-05 2.6995162e-04]
 [2.2084955e-03 1.2453557e-03 1.0762444e-03 ... 1.3501028e-04
  1.7339103e-04 1.4698197e-04]
 [4.8912335e-03 2.5656589e-03 1.7747867e-03 ... 2.0626010e-04
  3.4756190e-04 2.0920017e-04]
 ...
 [1.2347259e-05 1.6263889e-06 2.9332568e-06 ... 1.1605538e-05
  5.2517076e-05 3.9040952e-03]
 [3.1090578e-05 6.1859337e-06 1.3018193e-05 ... 1.6795093e-05
  8.2109345e-06 1.7431796e-04]
 [1.1699138e-03 4.5657303e-04 4.5257434e-04 ... 2.5921461e-01
  2.7613889e-02 7.7670912e-04]]
(2392, 15)
-------------------------------------------------

Global accuracy score (train) = 76.16 [%]
Global accuracy score (test) = 46.82 [%]
Global F1 score (train) = 75.26 [%]
Global F1 score (test) = 44.62 [%]
                            precision    recall  f1-score   support

     CAMINAR CON LA COMPRA       0.30      0.22      0.26       161
 CAMINAR CON MÓVIL O LIBRO       0.34      0.40      0.37       161
       CAMINAR USUAL SPEED       0.22      0.37      0.28       161
            CAMINAR ZIGZAG       0.57      0.41      0.48       161
          DE PIE BARRIENDO       0.56      0.34      0.42       161
   DE PIE DOBLANDO TOALLAS       0.34      0.52      0.41       161
    DE PIE MOVIENDO LIBROS       0.40      0.31      0.35       161
          DE PIE USANDO PC       0.67      0.78      0.72       161
        FASE REPOSO CON K5       0.79      0.89      0.83       161
INCREMENTAL CICLOERGOMETRO       0.92      0.86      0.89       161
           SENTADO LEYENDO       0.33      0.75      0.46       161
         SENTADO USANDO PC       0.33      0.01      0.02       161
      SENTADO VIENDO LA TV       0.16      0.04      0.07       161
   SUBIR Y BAJAR ESCALERAS       0.45      0.37      0.40       161
                    TROTAR       0.68      0.80      0.74       138

                  accuracy                           0.47      2392
                 macro avg       0.47      0.47      0.45      2392
              weighted avg       0.47      0.47      0.44      2392


Accuracy capturado en la ejecución 2: 46.82 [%]
F1-score capturado en la ejecución 2: 44.62 [%]

=== EJECUCIÓN 3 ===

--- TRAIN (ejecución 3) ---

--- TEST (ejecución 3) ---
2025-11-08 18:34:45.936045: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2025-11-08 18:34:45.947474: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
E0000 00:00:1762623285.961319 1407070 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762623285.965700 1407070 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762623285.976151 1407070 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762623285.976173 1407070 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762623285.976175 1407070 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762623285.976176 1407070 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-08 18:34:45.979497: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
I0000 00:00:1762623288.355950 1407070 gpu_device.cc:2019] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 13760 MB memory:  -> device: 0, name: NVIDIA GeForce RTX 4060 Ti, pci bus id: 0000:65:00.0, compute capability: 8.9
1 GPU(s) detected and VRAM set to crossover mode..
Epoch 1/25
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
I0000 00:00:1762623289.785287 1407177 service.cc:152] XLA service 0x71878400b010 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
I0000 00:00:1762623289.785345 1407177 service.cc:160]   StreamExecutor device (0): NVIDIA GeForce RTX 4060 Ti, Compute Capability 8.9
2025-11-08 18:34:49.814133: I tensorflow/compiler/mlir/tensorflow/utils/dump_mlir_util.cc:269] disabling MLIR crash reproducer, set env var `MLIR_CRASH_REPRODUCER_DIRECTORY` to enable.
I0000 00:00:1762623289.940715 1407177 cuda_dnn.cc:529] Loaded cuDNN version 91002
I0000 00:00:1762623291.644995 1407177 device_compiler.h:188] Compiled cluster using XLA!  This line is logged at most once for the lifetime of the process.

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2025-11-08 18:34:55.765181: I external/local_xla/xla/stream_executor/cuda/subprocess_compilation.cc:346] ptxas warning : Registers are spilled to local memory in function 'gemm_fusion_dot_92', 8 bytes spill stores, 8 bytes spill loads

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Epoch 2/25

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Epoch 3/25

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[1m 40/547[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.5187 - loss: 1.3144  
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Epoch 4/25

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Epoch 5/25

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Epoch 6/25

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Epoch 7/25

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Epoch 8/25

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Saved model to disk.
['CAMINAR CON LA COMPRA' 'CAMINAR CON MÓVIL O LIBRO' 'CAMINAR USUAL SPEED'
 'CAMINAR ZIGZAG' 'DE PIE BARRIENDO' 'DE PIE DOBLANDO TOALLAS'
 'DE PIE MOVIENDO LIBROS' 'DE PIE USANDO PC' 'FASE REPOSO CON K5'
 'INCREMENTAL CICLOERGOMETRO' 'SENTADO LEYENDO' 'SENTADO USANDO PC'
 'SENTADO VIENDO LA TV' 'SUBIR Y BAJAR ESCALERAS' 'TROTAR']
15
Mapeo de etiquetas: {'CAMINAR CON LA COMPRA': 0, 'CAMINAR CON MÓVIL O LIBRO': 1, 'CAMINAR USUAL SPEED': 2, 'CAMINAR ZIGZAG': 3, 'DE PIE BARRIENDO': 4, 'DE PIE DOBLANDO TOALLAS': 5, 'DE PIE MOVIENDO LIBROS': 6, 'DE PIE USANDO PC': 7, 'FASE REPOSO CON K5': 8, 'INCREMENTAL CICLOERGOMETRO': 9, 'SENTADO LEYENDO': 10, 'SENTADO USANDO PC': 11, 'SENTADO VIENDO LA TV': 12, 'SUBIR Y BAJAR ESCALERAS': 13, 'TROTAR': 14}
Loaded model from disk.
(2392, 6, 250)
(17480, 6, 250)

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[1m159/159[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m1s[0m 8ms/step
Global accuracy score (validation) = 44.55 [%]
Global F1 score (validation) = 42.84 [%]
[[5.]
 [5.]
 [5.]
 ...
 [9.]
 [9.]
 [9.]]
(2392, 1)
[[2.3832321e-03 1.0855449e-03 1.3484545e-03 ... 2.4845323e-04
  1.8112372e-04 9.0643298e-05]
 [4.4002505e-03 3.9714645e-03 2.3722893e-03 ... 1.3769364e-03
  9.6444006e-04 3.6608952e-04]
 [3.8509800e-03 2.5601613e-03 1.4681089e-03 ... 4.8146409e-04
  4.6194950e-04 2.1151426e-04]
 ...
 [3.0197195e-10 3.7936645e-10 3.1044256e-09 ... 4.9368256e-09
  2.2859371e-08 7.8086380e-08]
 [1.8688320e-07 1.9259726e-08 1.5747997e-07 ... 1.6181079e-05
  1.7156558e-06 2.6870588e-05]
 [3.7073751e-03 4.6916078e-03 4.3109190e-03 ... 2.4761422e-01
  2.1153569e-02 2.2936901e-03]]
(2392, 15)
-------------------------------------------------

Global accuracy score (train) = 75.39 [%]
Global accuracy score (test) = 47.07 [%]
Global F1 score (train) = 75.07 [%]
Global F1 score (test) = 46.55 [%]
                            precision    recall  f1-score   support

     CAMINAR CON LA COMPRA       0.28      0.32      0.30       161
 CAMINAR CON MÓVIL O LIBRO       0.31      0.37      0.33       161
       CAMINAR USUAL SPEED       0.22      0.35      0.27       161
            CAMINAR ZIGZAG       0.53      0.33      0.41       161
          DE PIE BARRIENDO       0.52      0.30      0.38       161
   DE PIE DOBLANDO TOALLAS       0.37      0.52      0.43       161
    DE PIE MOVIENDO LIBROS       0.40      0.25      0.31       161
          DE PIE USANDO PC       0.74      0.82      0.78       161
        FASE REPOSO CON K5       0.80      0.57      0.66       161
INCREMENTAL CICLOERGOMETRO       0.95      0.86      0.91       161
           SENTADO LEYENDO       0.43      0.14      0.21       161
         SENTADO USANDO PC       0.37      0.89      0.53       161
      SENTADO VIENDO LA TV       0.18      0.10      0.13       161
   SUBIR Y BAJAR ESCALERAS       0.57      0.49      0.53       161
                    TROTAR       0.84      0.80      0.82       138

                  accuracy                           0.47      2392
                 macro avg       0.50      0.47      0.47      2392
              weighted avg       0.50      0.47      0.46      2392


Accuracy capturado en la ejecución 3: 47.07 [%]
F1-score capturado en la ejecución 3: 46.55 [%]

=== EJECUCIÓN 4 ===

--- TRAIN (ejecución 4) ---

--- TEST (ejecución 4) ---
2025-11-08 18:35:17.470307: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2025-11-08 18:35:17.481583: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
E0000 00:00:1762623317.494608 1408930 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762623317.498701 1408930 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762623317.508461 1408930 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762623317.508479 1408930 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762623317.508481 1408930 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762623317.508482 1408930 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-08 18:35:17.511697: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
I0000 00:00:1762623319.859588 1408930 gpu_device.cc:2019] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 13760 MB memory:  -> device: 0, name: NVIDIA GeForce RTX 4060 Ti, pci bus id: 0000:65:00.0, compute capability: 8.9
1 GPU(s) detected and VRAM set to crossover mode..
Epoch 1/25
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
I0000 00:00:1762623321.258253 1409041 service.cc:152] XLA service 0x7f5eb000b5d0 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
I0000 00:00:1762623321.258305 1409041 service.cc:160]   StreamExecutor device (0): NVIDIA GeForce RTX 4060 Ti, Compute Capability 8.9
2025-11-08 18:35:21.292518: I tensorflow/compiler/mlir/tensorflow/utils/dump_mlir_util.cc:269] disabling MLIR crash reproducer, set env var `MLIR_CRASH_REPRODUCER_DIRECTORY` to enable.
I0000 00:00:1762623321.422790 1409041 cuda_dnn.cc:529] Loaded cuDNN version 91002
I0000 00:00:1762623323.166611 1409041 device_compiler.h:188] Compiled cluster using XLA!  This line is logged at most once for the lifetime of the process.

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[1m116/547[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.1501 - loss: 2.4955
[1m157/547[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.1592 - loss: 2.4313
[1m197/547[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.1672 - loss: 2.3839
[1m234/547[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.1740 - loss: 2.3495
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[1m355/547[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.1926 - loss: 2.2681
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[1m547/547[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 4ms/step - accuracy: 0.2146 - loss: 2.18432025-11-08 18:35:26.058547: I external/local_xla/xla/stream_executor/cuda/subprocess_compilation.cc:346] ptxas warning : Registers are spilled to local memory in function 'gemm_fusion_dot_92', 8 bytes spill stores, 8 bytes spill loads

2025-11-08 18:35:27.106297: I external/local_xla/xla/stream_executor/cuda/subprocess_compilation.cc:346] ptxas warning : Registers are spilled to local memory in function 'gemm_fusion_dot_92', 8 bytes spill stores, 8 bytes spill loads


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Epoch 2/25

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Epoch 3/25

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Epoch 4/25

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Epoch 5/25

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Epoch 6/25

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Epoch 7/25

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[1m 1/75[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m33s[0m 459ms/step
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[1m75/75[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 14ms/step 
[1m75/75[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m2s[0m 14ms/step
Saved model to disk.
['CAMINAR CON LA COMPRA' 'CAMINAR CON MÓVIL O LIBRO' 'CAMINAR USUAL SPEED'
 'CAMINAR ZIGZAG' 'DE PIE BARRIENDO' 'DE PIE DOBLANDO TOALLAS'
 'DE PIE MOVIENDO LIBROS' 'DE PIE USANDO PC' 'FASE REPOSO CON K5'
 'INCREMENTAL CICLOERGOMETRO' 'SENTADO LEYENDO' 'SENTADO USANDO PC'
 'SENTADO VIENDO LA TV' 'SUBIR Y BAJAR ESCALERAS' 'TROTAR']
15
Mapeo de etiquetas: {'CAMINAR CON LA COMPRA': 0, 'CAMINAR CON MÓVIL O LIBRO': 1, 'CAMINAR USUAL SPEED': 2, 'CAMINAR ZIGZAG': 3, 'DE PIE BARRIENDO': 4, 'DE PIE DOBLANDO TOALLAS': 5, 'DE PIE MOVIENDO LIBROS': 6, 'DE PIE USANDO PC': 7, 'FASE REPOSO CON K5': 8, 'INCREMENTAL CICLOERGOMETRO': 9, 'SENTADO LEYENDO': 10, 'SENTADO USANDO PC': 11, 'SENTADO VIENDO LA TV': 12, 'SUBIR Y BAJAR ESCALERAS': 13, 'TROTAR': 14}
Loaded model from disk.
(2392, 6, 250)
(17480, 6, 250)

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[1m64/75[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m0s[0m 794us/step
[1m75/75[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 15ms/step 
[1m75/75[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m1s[0m 15ms/step

[1m  1/159[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m2s[0m 17ms/step
[1m 63/159[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m0s[0m 815us/step
[1m133/159[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m0s[0m 764us/step
[1m159/159[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 7ms/step  
[1m159/159[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m1s[0m 7ms/step
Global accuracy score (validation) = 46.34 [%]
Global F1 score (validation) = 44.33 [%]
[[5.]
 [5.]
 [5.]
 ...
 [9.]
 [9.]
 [9.]]
(2392, 1)
[[1.4884067e-04 1.2726914e-04 1.3238909e-04 ... 9.2239188e-06
  3.7727685e-05 1.1439087e-04]
 [3.1897125e-03 3.0540032e-03 2.2079821e-03 ... 5.5444724e-04
  9.7428489e-04 3.2795008e-04]
 [7.7638018e-04 4.3023776e-04 3.6032553e-04 ... 3.5893787e-05
  1.2983780e-04 1.5316239e-04]
 ...
 [1.3030808e-05 9.3258830e-05 1.1213939e-05 ... 4.6366127e-05
  3.0808540e-05 8.3543440e-05]
 [1.6096287e-07 8.6282660e-07 3.4756741e-07 ... 4.4291269e-08
  6.1252545e-06 3.3277745e-05]
 [2.7607716e-04 9.3817587e-05 1.9745040e-04 ... 2.0568727e-01
  4.6486310e-03 1.7773375e-04]]
(2392, 15)
-------------------------------------------------

Global accuracy score (train) = 79.26 [%]
Global accuracy score (test) = 42.98 [%]
Global F1 score (train) = 78.76 [%]
Global F1 score (test) = 41.26 [%]
                            precision    recall  f1-score   support

     CAMINAR CON LA COMPRA       0.24      0.31      0.27       161
 CAMINAR CON MÓVIL O LIBRO       0.23      0.21      0.22       161
       CAMINAR USUAL SPEED       0.23      0.29      0.25       161
            CAMINAR ZIGZAG       0.48      0.43      0.45       161
          DE PIE BARRIENDO       0.51      0.21      0.30       161
   DE PIE DOBLANDO TOALLAS       0.33      0.35      0.34       161
    DE PIE MOVIENDO LIBROS       0.38      0.46      0.42       161
          DE PIE USANDO PC       0.63      0.77      0.69       161
        FASE REPOSO CON K5       0.64      0.88      0.74       161
INCREMENTAL CICLOERGOMETRO       0.87      0.86      0.87       161
           SENTADO LEYENDO       0.03      0.01      0.01       161
         SENTADO USANDO PC       0.30      0.58      0.40       161
      SENTADO VIENDO LA TV       0.26      0.12      0.16       161
   SUBIR Y BAJAR ESCALERAS       0.41      0.36      0.38       161
                    TROTAR       0.75      0.62      0.68       138

                  accuracy                           0.43      2392
                 macro avg       0.42      0.43      0.41      2392
              weighted avg       0.42      0.43      0.41      2392


Accuracy capturado en la ejecución 4: 42.98 [%]
F1-score capturado en la ejecución 4: 41.26 [%]

=== EJECUCIÓN 5 ===

--- TRAIN (ejecución 5) ---

--- TEST (ejecución 5) ---
2025-11-08 18:35:48.013192: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2025-11-08 18:35:48.024615: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
E0000 00:00:1762623348.037836 1410694 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762623348.042055 1410694 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762623348.051946 1410694 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762623348.051964 1410694 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762623348.051967 1410694 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762623348.051968 1410694 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-08 18:35:48.055199: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
I0000 00:00:1762623350.425168 1410694 gpu_device.cc:2019] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 13760 MB memory:  -> device: 0, name: NVIDIA GeForce RTX 4060 Ti, pci bus id: 0000:65:00.0, compute capability: 8.9
1 GPU(s) detected and VRAM set to crossover mode..
Epoch 1/25
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
I0000 00:00:1762623351.868450 1410831 service.cc:152] XLA service 0x730c5c00aa30 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
I0000 00:00:1762623351.868516 1410831 service.cc:160]   StreamExecutor device (0): NVIDIA GeForce RTX 4060 Ti, Compute Capability 8.9
2025-11-08 18:35:51.896457: I tensorflow/compiler/mlir/tensorflow/utils/dump_mlir_util.cc:269] disabling MLIR crash reproducer, set env var `MLIR_CRASH_REPRODUCER_DIRECTORY` to enable.
I0000 00:00:1762623352.025837 1410831 cuda_dnn.cc:529] Loaded cuDNN version 91002
I0000 00:00:1762623353.721083 1410831 device_compiler.h:188] Compiled cluster using XLA!  This line is logged at most once for the lifetime of the process.

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[1m184/547[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.1596 - loss: 2.3794
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[1m547/547[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 4ms/step - accuracy: 0.2097 - loss: 2.17032025-11-08 18:35:56.669830: I external/local_xla/xla/stream_executor/cuda/subprocess_compilation.cc:346] ptxas warning : Registers are spilled to local memory in function 'gemm_fusion_dot_92', 8 bytes spill stores, 8 bytes spill loads

2025-11-08 18:35:57.865170: I external/local_xla/xla/stream_executor/cuda/subprocess_compilation.cc:346] ptxas warning : Registers are spilled to local memory in function 'gemm_fusion_dot_92', 8 bytes spill stores, 8 bytes spill loads


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Epoch 2/25

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Epoch 3/25

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Epoch 4/25

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Epoch 5/25

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Epoch 6/25

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Epoch 7/25

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[1m217/547[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.7226 - loss: 0.7316
[1m257/547[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.7219 - loss: 0.7328
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[1m332/547[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.7214 - loss: 0.7339
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[1m 1/75[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m33s[0m 451ms/step
[1m51/75[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m0s[0m 1ms/step   
[1m75/75[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 16ms/step
[1m75/75[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m2s[0m 16ms/step
Saved model to disk.
['CAMINAR CON LA COMPRA' 'CAMINAR CON MÓVIL O LIBRO' 'CAMINAR USUAL SPEED'
 'CAMINAR ZIGZAG' 'DE PIE BARRIENDO' 'DE PIE DOBLANDO TOALLAS'
 'DE PIE MOVIENDO LIBROS' 'DE PIE USANDO PC' 'FASE REPOSO CON K5'
 'INCREMENTAL CICLOERGOMETRO' 'SENTADO LEYENDO' 'SENTADO USANDO PC'
 'SENTADO VIENDO LA TV' 'SUBIR Y BAJAR ESCALERAS' 'TROTAR']
15
Mapeo de etiquetas: {'CAMINAR CON LA COMPRA': 0, 'CAMINAR CON MÓVIL O LIBRO': 1, 'CAMINAR USUAL SPEED': 2, 'CAMINAR ZIGZAG': 3, 'DE PIE BARRIENDO': 4, 'DE PIE DOBLANDO TOALLAS': 5, 'DE PIE MOVIENDO LIBROS': 6, 'DE PIE USANDO PC': 7, 'FASE REPOSO CON K5': 8, 'INCREMENTAL CICLOERGOMETRO': 9, 'SENTADO LEYENDO': 10, 'SENTADO USANDO PC': 11, 'SENTADO VIENDO LA TV': 12, 'SUBIR Y BAJAR ESCALERAS': 13, 'TROTAR': 14}
Loaded model from disk.
(2392, 6, 250)
(17480, 6, 250)

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[1m127/547[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m0s[0m 798us/step
[1m186/547[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m0s[0m 814us/step
[1m246/547[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m0s[0m 823us/step
[1m311/547[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m0s[0m 812us/step
[1m372/547[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m0s[0m 814us/step
[1m436/547[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m0s[0m 810us/step
[1m504/547[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m0s[0m 801us/step
[1m547/547[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 3ms/step  
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[1m 1/75[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m1s[0m 17ms/step
[1m64/75[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m0s[0m 804us/step
[1m75/75[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 16ms/step 
[1m75/75[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m1s[0m 16ms/step

[1m  1/159[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m2s[0m 16ms/step
[1m 60/159[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m0s[0m 849us/step
[1m125/159[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m0s[0m 808us/step
[1m159/159[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 8ms/step  
[1m159/159[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m1s[0m 8ms/step
Global accuracy score (validation) = 44.15 [%]
Global F1 score (validation) = 43.48 [%]
[[5.]
 [5.]
 [5.]
 ...
 [9.]
 [9.]
 [9.]]
(2392, 1)
[[1.1158177e-03 2.6471242e-03 9.9465449e-04 ... 3.8952191e-04
  5.1255559e-04 1.9230405e-04]
 [2.4477800e-03 4.7551771e-03 2.9714119e-03 ... 1.1382534e-03
  1.2071070e-03 2.1093797e-04]
 [3.5687250e-03 7.2437222e-03 2.0097201e-03 ... 1.5872963e-03
  2.3002725e-03 1.6727067e-04]
 ...
 [1.0968892e-06 2.7377037e-06 1.2072975e-06 ... 2.7272370e-07
  9.7566281e-06 2.1707865e-06]
 [5.1972543e-06 1.7031458e-05 9.1703450e-06 ... 1.7602175e-06
  9.5802912e-05 4.8473639e-06]
 [1.1738461e-03 6.0057599e-04 8.3836610e-04 ... 3.7641001e-01
  8.3900988e-03 4.0253666e-03]]
(2392, 15)
-------------------------------------------------

Global accuracy score (train) = 75.45 [%]
Global accuracy score (test) = 43.48 [%]
Global F1 score (train) = 74.55 [%]
Global F1 score (test) = 42.63 [%]
                            precision    recall  f1-score   support

     CAMINAR CON LA COMPRA       0.27      0.43      0.33       161
 CAMINAR CON MÓVIL O LIBRO       0.27      0.30      0.28       161
       CAMINAR USUAL SPEED       0.23      0.31      0.26       161
            CAMINAR ZIGZAG       0.61      0.40      0.48       161
          DE PIE BARRIENDO       0.58      0.32      0.41       161
   DE PIE DOBLANDO TOALLAS       0.33      0.50      0.40       161
    DE PIE MOVIENDO LIBROS       0.33      0.34      0.33       161
          DE PIE USANDO PC       0.81      0.67      0.73       161
        FASE REPOSO CON K5       0.47      0.88      0.62       161
INCREMENTAL CICLOERGOMETRO       0.98      0.87      0.92       161
           SENTADO LEYENDO       0.31      0.39      0.35       161
         SENTADO USANDO PC       0.05      0.02      0.03       161
      SENTADO VIENDO LA TV       0.09      0.04      0.05       161
   SUBIR Y BAJAR ESCALERAS       0.53      0.30      0.38       161
                    TROTAR       0.82      0.81      0.82       138

                  accuracy                           0.43      2392
                 macro avg       0.44      0.44      0.43      2392
              weighted avg       0.44      0.43      0.42      2392


Accuracy capturado en la ejecución 5: 43.48 [%]
F1-score capturado en la ejecución 5: 42.63 [%]

=== EJECUCIÓN 6 ===

--- TRAIN (ejecución 6) ---

--- TEST (ejecución 6) ---
2025-11-08 18:36:18.645281: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2025-11-08 18:36:18.656649: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
E0000 00:00:1762623378.670087 1412464 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762623378.674559 1412464 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762623378.684697 1412464 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762623378.684720 1412464 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762623378.684722 1412464 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762623378.684724 1412464 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-08 18:36:18.687831: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
I0000 00:00:1762623381.067824 1412464 gpu_device.cc:2019] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 13760 MB memory:  -> device: 0, name: NVIDIA GeForce RTX 4060 Ti, pci bus id: 0000:65:00.0, compute capability: 8.9
1 GPU(s) detected and VRAM set to crossover mode..
Epoch 1/25
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
I0000 00:00:1762623382.459157 1412594 service.cc:152] XLA service 0x72df5c00afa0 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
I0000 00:00:1762623382.459196 1412594 service.cc:160]   StreamExecutor device (0): NVIDIA GeForce RTX 4060 Ti, Compute Capability 8.9
2025-11-08 18:36:22.486926: I tensorflow/compiler/mlir/tensorflow/utils/dump_mlir_util.cc:269] disabling MLIR crash reproducer, set env var `MLIR_CRASH_REPRODUCER_DIRECTORY` to enable.
I0000 00:00:1762623382.618531 1412594 cuda_dnn.cc:529] Loaded cuDNN version 91002
I0000 00:00:1762623384.317059 1412594 device_compiler.h:188] Compiled cluster using XLA!  This line is logged at most once for the lifetime of the process.

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[1m547/547[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 4ms/step - accuracy: 0.2216 - loss: 2.14482025-11-08 18:36:27.164302: I external/local_xla/xla/stream_executor/cuda/subprocess_compilation.cc:346] ptxas warning : Registers are spilled to local memory in function 'gemm_fusion_dot_92', 8 bytes spill stores, 8 bytes spill loads

2025-11-08 18:36:28.304132: I external/local_xla/xla/stream_executor/cuda/subprocess_compilation.cc:346] ptxas warning : Registers are spilled to local memory in function 'gemm_fusion_dot_92', 8 bytes spill stores, 8 bytes spill loads


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Epoch 2/25

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Epoch 3/25

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Epoch 4/25

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Epoch 5/25

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Epoch 6/25

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Epoch 7/25

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[1m339/547[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.7281 - loss: 0.7340
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[1m 1/75[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m33s[0m 447ms/step
[1m58/75[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m0s[0m 883us/step 
[1m75/75[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 16ms/step 
[1m75/75[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m2s[0m 16ms/step
Saved model to disk.
['CAMINAR CON LA COMPRA' 'CAMINAR CON MÓVIL O LIBRO' 'CAMINAR USUAL SPEED'
 'CAMINAR ZIGZAG' 'DE PIE BARRIENDO' 'DE PIE DOBLANDO TOALLAS'
 'DE PIE MOVIENDO LIBROS' 'DE PIE USANDO PC' 'FASE REPOSO CON K5'
 'INCREMENTAL CICLOERGOMETRO' 'SENTADO LEYENDO' 'SENTADO USANDO PC'
 'SENTADO VIENDO LA TV' 'SUBIR Y BAJAR ESCALERAS' 'TROTAR']
15
Mapeo de etiquetas: {'CAMINAR CON LA COMPRA': 0, 'CAMINAR CON MÓVIL O LIBRO': 1, 'CAMINAR USUAL SPEED': 2, 'CAMINAR ZIGZAG': 3, 'DE PIE BARRIENDO': 4, 'DE PIE DOBLANDO TOALLAS': 5, 'DE PIE MOVIENDO LIBROS': 6, 'DE PIE USANDO PC': 7, 'FASE REPOSO CON K5': 8, 'INCREMENTAL CICLOERGOMETRO': 9, 'SENTADO LEYENDO': 10, 'SENTADO USANDO PC': 11, 'SENTADO VIENDO LA TV': 12, 'SUBIR Y BAJAR ESCALERAS': 13, 'TROTAR': 14}
Loaded model from disk.
(2392, 6, 250)
(17480, 6, 250)

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[1m187/547[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m0s[0m 815us/step
[1m250/547[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m0s[0m 810us/step
[1m311/547[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m0s[0m 812us/step
[1m376/547[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m0s[0m 806us/step
[1m441/547[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m0s[0m 802us/step
[1m504/547[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m0s[0m 802us/step
[1m547/547[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 3ms/step  
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[1m 1/75[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m1s[0m 16ms/step
[1m63/75[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m0s[0m 816us/step
[1m75/75[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 15ms/step 
[1m75/75[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m1s[0m 15ms/step

[1m  1/159[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m2s[0m 16ms/step
[1m 62/159[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m0s[0m 825us/step
[1m127/159[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m0s[0m 801us/step
[1m159/159[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 7ms/step  
[1m159/159[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m1s[0m 7ms/step
Global accuracy score (validation) = 45.69 [%]
Global F1 score (validation) = 43.17 [%]
[[5.]
 [5.]
 [5.]
 ...
 [9.]
 [9.]
 [9.]]
(2392, 1)
[[3.6874600e-04 3.9165179e-04 5.7114486e-04 ... 2.6679450e-05
  4.7047681e-04 1.1383758e-04]
 [1.2481147e-03 9.5726439e-04 1.1102211e-03 ... 1.9710120e-04
  7.5109216e-04 2.4344785e-04]
 [1.5332192e-03 9.5919776e-04 1.4819562e-03 ... 1.3408130e-04
  8.7944366e-04 1.7715788e-04]
 ...
 [2.1046749e-06 1.4903146e-06 3.7045672e-07 ... 3.6858494e-06
  1.6054473e-06 1.3698111e-06]
 [1.2402539e-06 6.4317001e-06 6.0744119e-06 ... 8.0638520e-06
  1.0475383e-05 8.0277227e-05]
 [1.3782994e-03 3.7290325e-04 7.3523249e-04 ... 2.9743871e-01
  9.0848273e-03 7.8893715e-04]]
(2392, 15)
-------------------------------------------------

Global accuracy score (train) = 73.72 [%]
Global accuracy score (test) = 44.73 [%]
Global F1 score (train) = 70.99 [%]
Global F1 score (test) = 43.1 [%]
                            precision    recall  f1-score   support

     CAMINAR CON LA COMPRA       0.26      0.37      0.30       161
 CAMINAR CON MÓVIL O LIBRO       0.26      0.27      0.27       161
       CAMINAR USUAL SPEED       0.23      0.24      0.23       161
            CAMINAR ZIGZAG       0.38      0.45      0.41       161
          DE PIE BARRIENDO       0.59      0.36      0.45       161
   DE PIE DOBLANDO TOALLAS       0.32      0.37      0.34       161
    DE PIE MOVIENDO LIBROS       0.40      0.38      0.39       161
          DE PIE USANDO PC       0.72      0.76      0.74       161
        FASE REPOSO CON K5       0.41      0.89      0.56       161
INCREMENTAL CICLOERGOMETRO       0.91      0.88      0.90       161
           SENTADO LEYENDO       0.35      0.56      0.43       161
         SENTADO USANDO PC       0.79      0.14      0.23       161
      SENTADO VIENDO LA TV       0.00      0.00      0.00       161
   SUBIR Y BAJAR ESCALERAS       0.48      0.35      0.41       161
                    TROTAR       0.91      0.72      0.80       138

                  accuracy                           0.45      2392
                 macro avg       0.47      0.45      0.43      2392
              weighted avg       0.46      0.45      0.43      2392


Accuracy capturado en la ejecución 6: 44.73 [%]
F1-score capturado en la ejecución 6: 43.1 [%]

=== EJECUCIÓN 7 ===

--- TRAIN (ejecución 7) ---

--- TEST (ejecución 7) ---
2025-11-08 18:36:49.337204: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2025-11-08 18:36:49.348561: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
E0000 00:00:1762623409.361759 1414227 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762623409.365991 1414227 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762623409.375810 1414227 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762623409.375831 1414227 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762623409.375833 1414227 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762623409.375835 1414227 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-08 18:36:49.378988: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
I0000 00:00:1762623411.776090 1414227 gpu_device.cc:2019] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 13760 MB memory:  -> device: 0, name: NVIDIA GeForce RTX 4060 Ti, pci bus id: 0000:65:00.0, compute capability: 8.9
1 GPU(s) detected and VRAM set to crossover mode..
Epoch 1/25
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
I0000 00:00:1762623413.177671 1414364 service.cc:152] XLA service 0x7c104000a280 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
I0000 00:00:1762623413.177703 1414364 service.cc:160]   StreamExecutor device (0): NVIDIA GeForce RTX 4060 Ti, Compute Capability 8.9
2025-11-08 18:36:53.201459: I tensorflow/compiler/mlir/tensorflow/utils/dump_mlir_util.cc:269] disabling MLIR crash reproducer, set env var `MLIR_CRASH_REPRODUCER_DIRECTORY` to enable.
I0000 00:00:1762623413.329808 1414364 cuda_dnn.cc:529] Loaded cuDNN version 91002
I0000 00:00:1762623415.064972 1414364 device_compiler.h:188] Compiled cluster using XLA!  This line is logged at most once for the lifetime of the process.

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2025-11-08 18:36:59.030314: I external/local_xla/xla/stream_executor/cuda/subprocess_compilation.cc:346] ptxas warning : Registers are spilled to local memory in function 'gemm_fusion_dot_92', 8 bytes spill stores, 8 bytes spill loads


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Epoch 2/25

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Epoch 3/25

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Epoch 4/25

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Epoch 5/25

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Epoch 6/25

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Epoch 7/25

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Epoch 8/25

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Saved model to disk.
['CAMINAR CON LA COMPRA' 'CAMINAR CON MÓVIL O LIBRO' 'CAMINAR USUAL SPEED'
 'CAMINAR ZIGZAG' 'DE PIE BARRIENDO' 'DE PIE DOBLANDO TOALLAS'
 'DE PIE MOVIENDO LIBROS' 'DE PIE USANDO PC' 'FASE REPOSO CON K5'
 'INCREMENTAL CICLOERGOMETRO' 'SENTADO LEYENDO' 'SENTADO USANDO PC'
 'SENTADO VIENDO LA TV' 'SUBIR Y BAJAR ESCALERAS' 'TROTAR']
15
Mapeo de etiquetas: {'CAMINAR CON LA COMPRA': 0, 'CAMINAR CON MÓVIL O LIBRO': 1, 'CAMINAR USUAL SPEED': 2, 'CAMINAR ZIGZAG': 3, 'DE PIE BARRIENDO': 4, 'DE PIE DOBLANDO TOALLAS': 5, 'DE PIE MOVIENDO LIBROS': 6, 'DE PIE USANDO PC': 7, 'FASE REPOSO CON K5': 8, 'INCREMENTAL CICLOERGOMETRO': 9, 'SENTADO LEYENDO': 10, 'SENTADO USANDO PC': 11, 'SENTADO VIENDO LA TV': 12, 'SUBIR Y BAJAR ESCALERAS': 13, 'TROTAR': 14}
Loaded model from disk.
(2392, 6, 250)
(17480, 6, 250)

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[1m  1/159[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m2s[0m 16ms/step
[1m 66/159[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m0s[0m 777us/step
[1m129/159[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m0s[0m 787us/step
[1m159/159[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 8ms/step  
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Global accuracy score (validation) = 43.79 [%]
Global F1 score (validation) = 42.06 [%]
[[5.]
 [5.]
 [5.]
 ...
 [9.]
 [9.]
 [9.]]
(2392, 1)
[[1.9861439e-03 4.3231105e-03 2.9125419e-03 ... 1.5742072e-03
  7.9647743e-04 8.6651201e-04]
 [1.6216111e-03 3.1460207e-03 1.1357134e-03 ... 6.5655960e-04
  4.3714739e-04 4.2345282e-04]
 [6.6380012e-03 1.0069924e-02 5.1996857e-03 ... 1.6126565e-03
  5.0036991e-03 1.5667347e-03]
 ...
 [1.1924639e-10 1.8884063e-09 3.8101851e-09 ... 5.1907088e-09
  8.5486027e-09 4.8659217e-07]
 [2.4429316e-06 2.2621603e-06 4.3949480e-05 ... 8.0787713e-06
  1.1300186e-06 1.2233328e-04]
 [7.3039648e-04 3.2607195e-04 8.3900080e-04 ... 2.3360559e-01
  2.6350089e-03 2.7927250e-04]]
(2392, 15)
-------------------------------------------------

Global accuracy score (train) = 73.89 [%]
Global accuracy score (test) = 44.86 [%]
Global F1 score (train) = 73.73 [%]
Global F1 score (test) = 42.97 [%]
                            precision    recall  f1-score   support

     CAMINAR CON LA COMPRA       0.19      0.07      0.11       161
 CAMINAR CON MÓVIL O LIBRO       0.34      0.25      0.29       161
       CAMINAR USUAL SPEED       0.24      0.48      0.32       161
            CAMINAR ZIGZAG       0.49      0.53      0.51       161
          DE PIE BARRIENDO       0.55      0.22      0.31       161
   DE PIE DOBLANDO TOALLAS       0.31      0.60      0.41       161
    DE PIE MOVIENDO LIBROS       0.34      0.24      0.28       161
          DE PIE USANDO PC       0.88      0.76      0.82       161
        FASE REPOSO CON K5       0.81      0.69      0.74       161
INCREMENTAL CICLOERGOMETRO       0.76      0.87      0.81       161
           SENTADO LEYENDO       0.21      0.15      0.17       161
         SENTADO USANDO PC       0.36      0.73      0.48       161
      SENTADO VIENDO LA TV       0.12      0.01      0.01       161
   SUBIR Y BAJAR ESCALERAS       0.38      0.43      0.40       161
                    TROTAR       0.83      0.76      0.79       138

                  accuracy                           0.45      2392
                 macro avg       0.45      0.45      0.43      2392
              weighted avg       0.45      0.45      0.43      2392


Accuracy capturado en la ejecución 7: 44.86 [%]
F1-score capturado en la ejecución 7: 42.97 [%]

=== EJECUCIÓN 8 ===

--- TRAIN (ejecución 8) ---

--- TEST (ejecución 8) ---
2025-11-08 18:37:20.758122: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2025-11-08 18:37:20.769559: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
E0000 00:00:1762623440.782869 1416086 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762623440.786884 1416086 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762623440.797197 1416086 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762623440.797219 1416086 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762623440.797221 1416086 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762623440.797222 1416086 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-08 18:37:20.800235: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
I0000 00:00:1762623443.152568 1416086 gpu_device.cc:2019] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 13760 MB memory:  -> device: 0, name: NVIDIA GeForce RTX 4060 Ti, pci bus id: 0000:65:00.0, compute capability: 8.9
1 GPU(s) detected and VRAM set to crossover mode..
Epoch 1/25
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
I0000 00:00:1762623444.575871 1416224 service.cc:152] XLA service 0x7a97cc01bd70 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
I0000 00:00:1762623444.575904 1416224 service.cc:160]   StreamExecutor device (0): NVIDIA GeForce RTX 4060 Ti, Compute Capability 8.9
2025-11-08 18:37:24.604806: I tensorflow/compiler/mlir/tensorflow/utils/dump_mlir_util.cc:269] disabling MLIR crash reproducer, set env var `MLIR_CRASH_REPRODUCER_DIRECTORY` to enable.
I0000 00:00:1762623444.728402 1416224 cuda_dnn.cc:529] Loaded cuDNN version 91002
I0000 00:00:1762623446.406524 1416224 device_compiler.h:188] Compiled cluster using XLA!  This line is logged at most once for the lifetime of the process.

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[1m106/547[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.1536 - loss: 2.4854
[1m142/547[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.1637 - loss: 2.4197
[1m179/547[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.1717 - loss: 2.3702
[1m216/547[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.1777 - loss: 2.3342
[1m255/547[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.1831 - loss: 2.3041
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[1m333/547[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.1930 - loss: 2.2575
[1m370/547[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.1970 - loss: 2.2397
[1m409/547[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.2011 - loss: 2.2225
[1m449/547[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.2051 - loss: 2.2061
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[1m526/547[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m0s[0m 1ms/step - accuracy: 0.2122 - loss: 2.1786
[1m547/547[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 4ms/step - accuracy: 0.2140 - loss: 2.17172025-11-08 18:37:29.249037: I external/local_xla/xla/stream_executor/cuda/subprocess_compilation.cc:346] ptxas warning : Registers are spilled to local memory in function 'gemm_fusion_dot_92', 8 bytes spill stores, 8 bytes spill loads

2025-11-08 18:37:30.490579: I external/local_xla/xla/stream_executor/cuda/subprocess_compilation.cc:346] ptxas warning : Registers are spilled to local memory in function 'gemm_fusion_dot_92', 8 bytes spill stores, 8 bytes spill loads


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Epoch 2/25

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Epoch 3/25

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Epoch 4/25

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Epoch 5/25

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Epoch 6/25

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Epoch 7/25

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Saved model to disk.
['CAMINAR CON LA COMPRA' 'CAMINAR CON MÓVIL O LIBRO' 'CAMINAR USUAL SPEED'
 'CAMINAR ZIGZAG' 'DE PIE BARRIENDO' 'DE PIE DOBLANDO TOALLAS'
 'DE PIE MOVIENDO LIBROS' 'DE PIE USANDO PC' 'FASE REPOSO CON K5'
 'INCREMENTAL CICLOERGOMETRO' 'SENTADO LEYENDO' 'SENTADO USANDO PC'
 'SENTADO VIENDO LA TV' 'SUBIR Y BAJAR ESCALERAS' 'TROTAR']
15
Mapeo de etiquetas: {'CAMINAR CON LA COMPRA': 0, 'CAMINAR CON MÓVIL O LIBRO': 1, 'CAMINAR USUAL SPEED': 2, 'CAMINAR ZIGZAG': 3, 'DE PIE BARRIENDO': 4, 'DE PIE DOBLANDO TOALLAS': 5, 'DE PIE MOVIENDO LIBROS': 6, 'DE PIE USANDO PC': 7, 'FASE REPOSO CON K5': 8, 'INCREMENTAL CICLOERGOMETRO': 9, 'SENTADO LEYENDO': 10, 'SENTADO USANDO PC': 11, 'SENTADO VIENDO LA TV': 12, 'SUBIR Y BAJAR ESCALERAS': 13, 'TROTAR': 14}
Loaded model from disk.
(2392, 6, 250)
(17480, 6, 250)

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[1m  1/159[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m2s[0m 17ms/step
[1m 62/159[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m0s[0m 826us/step
[1m122/159[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m0s[0m 831us/step
[1m159/159[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 8ms/step  
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Global accuracy score (validation) = 46.78 [%]
Global F1 score (validation) = 45.45 [%]
[[5.]
 [5.]
 [5.]
 ...
 [9.]
 [9.]
 [9.]]
(2392, 1)
[[2.3526479e-03 4.4180420e-03 2.0328178e-03 ... 4.0141787e-04
  1.1552899e-03 5.4993044e-04]
 [4.0042526e-03 1.6700656e-03 9.2144334e-04 ... 2.5974878e-05
  2.1079469e-04 5.3383214e-05]
 [1.3375850e-02 8.2114898e-03 6.5774922e-03 ... 1.1643532e-04
  9.1071002e-04 2.3114958e-04]
 ...
 [8.6063392e-06 4.6879693e-05 1.2992049e-05 ... 3.9499817e-05
  4.8554248e-05 1.1285126e-05]
 [6.9338830e-06 6.7141059e-06 5.0562694e-06 ... 4.2529477e-06
  6.0996035e-07 1.9500190e-05]
 [4.3274779e-04 6.1038480e-04 5.7556975e-04 ... 2.0155886e-01
  6.5996759e-03 6.0632359e-04]]
(2392, 15)
-------------------------------------------------

Global accuracy score (train) = 79.22 [%]
Global accuracy score (test) = 47.16 [%]
Global F1 score (train) = 78.25 [%]
Global F1 score (test) = 47.31 [%]
                            precision    recall  f1-score   support

     CAMINAR CON LA COMPRA       0.24      0.23      0.23       161
 CAMINAR CON MÓVIL O LIBRO       0.30      0.35      0.32       161
       CAMINAR USUAL SPEED       0.26      0.36      0.30       161
            CAMINAR ZIGZAG       0.70      0.48      0.57       161
          DE PIE BARRIENDO       0.53      0.29      0.38       161
   DE PIE DOBLANDO TOALLAS       0.27      0.29      0.28       161
    DE PIE MOVIENDO LIBROS       0.29      0.35      0.32       161
          DE PIE USANDO PC       0.78      0.78      0.78       161
        FASE REPOSO CON K5       0.86      0.87      0.86       161
INCREMENTAL CICLOERGOMETRO       0.65      0.86      0.74       161
           SENTADO LEYENDO       0.53      0.21      0.30       161
         SENTADO USANDO PC       0.31      0.42      0.36       161
      SENTADO VIENDO LA TV       0.42      0.39      0.41       161
   SUBIR Y BAJAR ESCALERAS       0.45      0.46      0.46       161
                    TROTAR       0.79      0.78      0.79       138

                  accuracy                           0.47      2392
                 macro avg       0.49      0.47      0.47      2392
              weighted avg       0.49      0.47      0.47      2392


Accuracy capturado en la ejecución 8: 47.16 [%]
F1-score capturado en la ejecución 8: 47.31 [%]

=== EJECUCIÓN 9 ===

--- TRAIN (ejecución 9) ---

--- TEST (ejecución 9) ---
2025-11-08 18:37:51.319846: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2025-11-08 18:37:51.331398: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
E0000 00:00:1762623471.344549 1417856 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762623471.348700 1417856 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762623471.358500 1417856 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762623471.358519 1417856 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762623471.358522 1417856 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762623471.358523 1417856 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-08 18:37:51.361684: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
I0000 00:00:1762623473.729350 1417856 gpu_device.cc:2019] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 13758 MB memory:  -> device: 0, name: NVIDIA GeForce RTX 4060 Ti, pci bus id: 0000:65:00.0, compute capability: 8.9
1 GPU(s) detected and VRAM set to crossover mode..
Epoch 1/25
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
I0000 00:00:1762623475.133703 1417987 service.cc:152] XLA service 0x7a22b400b380 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
I0000 00:00:1762623475.133731 1417987 service.cc:160]   StreamExecutor device (0): NVIDIA GeForce RTX 4060 Ti, Compute Capability 8.9
2025-11-08 18:37:55.157572: I tensorflow/compiler/mlir/tensorflow/utils/dump_mlir_util.cc:269] disabling MLIR crash reproducer, set env var `MLIR_CRASH_REPRODUCER_DIRECTORY` to enable.
I0000 00:00:1762623475.284981 1417987 cuda_dnn.cc:529] Loaded cuDNN version 91002
I0000 00:00:1762623476.967529 1417987 device_compiler.h:188] Compiled cluster using XLA!  This line is logged at most once for the lifetime of the process.

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[1m116/547[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.1501 - loss: 2.4666
[1m156/547[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.1606 - loss: 2.4050
[1m196/547[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.1694 - loss: 2.3576
[1m232/547[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.1768 - loss: 2.3236
[1m272/547[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.1848 - loss: 2.2908
[1m310/547[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.1923 - loss: 2.2626
[1m350/547[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.1997 - loss: 2.2359
[1m386/547[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.2061 - loss: 2.2138
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[1m546/547[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m0s[0m 1ms/step - accuracy: 0.2305 - loss: 2.1313
[1m547/547[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 4ms/step - accuracy: 0.2306 - loss: 2.13092025-11-08 18:37:59.932420: I external/local_xla/xla/stream_executor/cuda/subprocess_compilation.cc:346] ptxas warning : Registers are spilled to local memory in function 'gemm_fusion_dot_92', 8 bytes spill stores, 8 bytes spill loads

2025-11-08 18:38:01.007565: I external/local_xla/xla/stream_executor/cuda/subprocess_compilation.cc:346] ptxas warning : Registers are spilled to local memory in function 'gemm_fusion_dot_92', 8 bytes spill stores, 8 bytes spill loads


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Epoch 2/25

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Epoch 3/25

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Epoch 4/25

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Epoch 5/25

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Epoch 6/25

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Epoch 7/25

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Saved model to disk.
['CAMINAR CON LA COMPRA' 'CAMINAR CON MÓVIL O LIBRO' 'CAMINAR USUAL SPEED'
 'CAMINAR ZIGZAG' 'DE PIE BARRIENDO' 'DE PIE DOBLANDO TOALLAS'
 'DE PIE MOVIENDO LIBROS' 'DE PIE USANDO PC' 'FASE REPOSO CON K5'
 'INCREMENTAL CICLOERGOMETRO' 'SENTADO LEYENDO' 'SENTADO USANDO PC'
 'SENTADO VIENDO LA TV' 'SUBIR Y BAJAR ESCALERAS' 'TROTAR']
15
Mapeo de etiquetas: {'CAMINAR CON LA COMPRA': 0, 'CAMINAR CON MÓVIL O LIBRO': 1, 'CAMINAR USUAL SPEED': 2, 'CAMINAR ZIGZAG': 3, 'DE PIE BARRIENDO': 4, 'DE PIE DOBLANDO TOALLAS': 5, 'DE PIE MOVIENDO LIBROS': 6, 'DE PIE USANDO PC': 7, 'FASE REPOSO CON K5': 8, 'INCREMENTAL CICLOERGOMETRO': 9, 'SENTADO LEYENDO': 10, 'SENTADO USANDO PC': 11, 'SENTADO VIENDO LA TV': 12, 'SUBIR Y BAJAR ESCALERAS': 13, 'TROTAR': 14}
Loaded model from disk.
(2392, 6, 250)
(17480, 6, 250)

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[1m 63/159[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m0s[0m 808us/step
[1m117/159[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m0s[0m 863us/step
[1m159/159[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 7ms/step  
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Global accuracy score (validation) = 45.63 [%]
Global F1 score (validation) = 43.52 [%]
[[5.]
 [5.]
 [5.]
 ...
 [9.]
 [9.]
 [9.]]
(2392, 1)
[[5.61171692e-05 2.41155376e-05 7.70662373e-05 ... 7.00020746e-06
  1.38372598e-05 3.34932411e-05]
 [3.60160164e-04 1.84924051e-04 3.51715542e-04 ... 8.55356666e-06
  6.10294774e-05 6.17703117e-05]
 [2.49087648e-03 1.25262386e-03 8.26618692e-04 ... 5.17542830e-05
  2.63137394e-04 4.42539385e-05]
 ...
 [3.80788208e-07 1.22467156e-07 5.18638501e-07 ... 5.13737941e-05
  5.34768769e-05 1.25899305e-05]
 [5.13694225e-08 1.31685987e-08 1.04713438e-08 ... 8.00415236e-08
  1.82491349e-04 8.80254447e-06]
 [4.15017159e-04 5.66351751e-04 5.25299227e-04 ... 3.04801822e-01
  4.43802634e-03 3.66152177e-04]]
(2392, 15)
-------------------------------------------------

Global accuracy score (train) = 76.89 [%]
Global accuracy score (test) = 46.2 [%]
Global F1 score (train) = 75.15 [%]
Global F1 score (test) = 45.33 [%]
                            precision    recall  f1-score   support

     CAMINAR CON LA COMPRA       0.25      0.32      0.28       161
 CAMINAR CON MÓVIL O LIBRO       0.25      0.29      0.27       161
       CAMINAR USUAL SPEED       0.20      0.22      0.21       161
            CAMINAR ZIGZAG       0.44      0.45      0.44       161
          DE PIE BARRIENDO       0.54      0.26      0.35       161
   DE PIE DOBLANDO TOALLAS       0.31      0.47      0.38       161
    DE PIE MOVIENDO LIBROS       0.37      0.35      0.36       161
          DE PIE USANDO PC       0.77      0.77      0.77       161
        FASE REPOSO CON K5       0.86      0.89      0.87       161
INCREMENTAL CICLOERGOMETRO       0.97      0.83      0.89       161
           SENTADO LEYENDO       0.32      0.66      0.43       161
         SENTADO USANDO PC       0.20      0.01      0.01       161
      SENTADO VIENDO LA TV       0.39      0.30      0.34       161
   SUBIR Y BAJAR ESCALERAS       0.51      0.35      0.41       161
                    TROTAR       0.73      0.83      0.78       138

                  accuracy                           0.46      2392
                 macro avg       0.47      0.47      0.45      2392
              weighted avg       0.47      0.46      0.45      2392


Accuracy capturado en la ejecución 9: 46.2 [%]
F1-score capturado en la ejecución 9: 45.33 [%]

=== EJECUCIÓN 10 ===

--- TRAIN (ejecución 10) ---

--- TEST (ejecución 10) ---
2025-11-08 18:38:21.834275: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2025-11-08 18:38:21.845739: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
E0000 00:00:1762623501.858999 1419618 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762623501.863200 1419618 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762623501.873173 1419618 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762623501.873198 1419618 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762623501.873200 1419618 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762623501.873202 1419618 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-08 18:38:21.876433: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
I0000 00:00:1762623504.265847 1419618 gpu_device.cc:2019] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 13758 MB memory:  -> device: 0, name: NVIDIA GeForce RTX 4060 Ti, pci bus id: 0000:65:00.0, compute capability: 8.9
1 GPU(s) detected and VRAM set to crossover mode..
Epoch 1/25
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
I0000 00:00:1762623505.676805 1419749 service.cc:152] XLA service 0x73dd4000b1d0 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
I0000 00:00:1762623505.676860 1419749 service.cc:160]   StreamExecutor device (0): NVIDIA GeForce RTX 4060 Ti, Compute Capability 8.9
2025-11-08 18:38:25.701096: I tensorflow/compiler/mlir/tensorflow/utils/dump_mlir_util.cc:269] disabling MLIR crash reproducer, set env var `MLIR_CRASH_REPRODUCER_DIRECTORY` to enable.
I0000 00:00:1762623505.824494 1419749 cuda_dnn.cc:529] Loaded cuDNN version 91002
I0000 00:00:1762623507.578115 1419749 device_compiler.h:188] Compiled cluster using XLA!  This line is logged at most once for the lifetime of the process.

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[1m146/547[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.1435 - loss: 2.5501
[1m184/547[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.1525 - loss: 2.4885
[1m222/547[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.1611 - loss: 2.4389
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[1m299/547[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.1768 - loss: 2.3613
[1m339/547[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.1840 - loss: 2.3283
[1m376/547[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.1904 - loss: 2.3013
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2025-11-08 18:38:31.625543: I external/local_xla/xla/stream_executor/cuda/subprocess_compilation.cc:346] ptxas warning : Registers are spilled to local memory in function 'gemm_fusion_dot_92', 8 bytes spill stores, 8 bytes spill loads


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Epoch 2/25

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Epoch 3/25

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Epoch 4/25

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Epoch 5/25

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Epoch 6/25

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Epoch 7/25

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Saved model to disk.
['CAMINAR CON LA COMPRA' 'CAMINAR CON MÓVIL O LIBRO' 'CAMINAR USUAL SPEED'
 'CAMINAR ZIGZAG' 'DE PIE BARRIENDO' 'DE PIE DOBLANDO TOALLAS'
 'DE PIE MOVIENDO LIBROS' 'DE PIE USANDO PC' 'FASE REPOSO CON K5'
 'INCREMENTAL CICLOERGOMETRO' 'SENTADO LEYENDO' 'SENTADO USANDO PC'
 'SENTADO VIENDO LA TV' 'SUBIR Y BAJAR ESCALERAS' 'TROTAR']
15
Mapeo de etiquetas: {'CAMINAR CON LA COMPRA': 0, 'CAMINAR CON MÓVIL O LIBRO': 1, 'CAMINAR USUAL SPEED': 2, 'CAMINAR ZIGZAG': 3, 'DE PIE BARRIENDO': 4, 'DE PIE DOBLANDO TOALLAS': 5, 'DE PIE MOVIENDO LIBROS': 6, 'DE PIE USANDO PC': 7, 'FASE REPOSO CON K5': 8, 'INCREMENTAL CICLOERGOMETRO': 9, 'SENTADO LEYENDO': 10, 'SENTADO USANDO PC': 11, 'SENTADO VIENDO LA TV': 12, 'SUBIR Y BAJAR ESCALERAS': 13, 'TROTAR': 14}
Loaded model from disk.
(2392, 6, 250)
(17480, 6, 250)

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[1m 60/159[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m0s[0m 859us/step
[1m127/159[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m0s[0m 804us/step
[1m159/159[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 8ms/step  
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Global accuracy score (validation) = 43.6 [%]
Global F1 score (validation) = 42.19 [%]
[[5.]
 [5.]
 [5.]
 ...
 [9.]
 [9.]
 [9.]]
(2392, 1)
[[1.37951423e-03 1.14309648e-03 1.50085334e-03 ... 1.46423909e-03
  2.62639159e-03 2.54736602e-04]
 [1.50022411e-03 1.85393973e-03 1.39298593e-03 ... 1.57406437e-03
  9.52241360e-04 4.52379987e-04]
 [8.58406478e-04 9.13507480e-04 4.66230122e-04 ... 8.71396856e-04
  4.78129048e-04 1.11005131e-04]
 ...
 [1.41982795e-07 2.06552613e-07 5.32950821e-07 ... 1.97844898e-07
  1.45748265e-06 2.21690352e-05]
 [1.41720513e-09 1.06588260e-09 2.75959096e-08 ... 7.98672151e-09
  1.10079306e-07 3.76624342e-07]
 [2.24568197e-04 1.84652730e-04 3.12665245e-04 ... 2.88282990e-01
  1.72710582e-03 4.17044474e-04]]
(2392, 15)
-------------------------------------------------

Global accuracy score (train) = 75.33 [%]
Global accuracy score (test) = 46.2 [%]
Global F1 score (train) = 74.38 [%]
Global F1 score (test) = 44.29 [%]
                            precision    recall  f1-score   support

     CAMINAR CON LA COMPRA       0.27      0.37      0.31       161
 CAMINAR CON MÓVIL O LIBRO       0.21      0.09      0.12       161
       CAMINAR USUAL SPEED       0.25      0.41      0.31       161
            CAMINAR ZIGZAG       0.46      0.42      0.44       161
          DE PIE BARRIENDO       0.69      0.17      0.27       161
   DE PIE DOBLANDO TOALLAS       0.29      0.39      0.33       161
    DE PIE MOVIENDO LIBROS       0.29      0.39      0.33       161
          DE PIE USANDO PC       0.68      0.74      0.71       161
        FASE REPOSO CON K5       0.79      0.88      0.83       161
INCREMENTAL CICLOERGOMETRO       0.83      0.87      0.85       161
           SENTADO LEYENDO       0.43      0.72      0.54       161
         SENTADO USANDO PC       0.00      0.00      0.00       161
      SENTADO VIENDO LA TV       0.46      0.48      0.47       161
   SUBIR Y BAJAR ESCALERAS       0.39      0.38      0.39       161
                    TROTAR       0.83      0.66      0.73       138

                  accuracy                           0.46      2392
                 macro avg       0.46      0.46      0.44      2392
              weighted avg       0.46      0.46      0.44      2392


Accuracy capturado en la ejecución 10: 46.2 [%]
F1-score capturado en la ejecución 10: 44.29 [%]

=== EJECUCIÓN 11 ===

--- TRAIN (ejecución 11) ---

--- TEST (ejecución 11) ---
2025-11-08 18:38:52.561507: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2025-11-08 18:38:52.573415: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
E0000 00:00:1762623532.587436 1421389 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762623532.591840 1421389 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762623532.602281 1421389 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762623532.602301 1421389 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762623532.602303 1421389 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762623532.602305 1421389 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-08 18:38:52.605689: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
I0000 00:00:1762623534.965719 1421389 gpu_device.cc:2019] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 13758 MB memory:  -> device: 0, name: NVIDIA GeForce RTX 4060 Ti, pci bus id: 0000:65:00.0, compute capability: 8.9
1 GPU(s) detected and VRAM set to crossover mode..
Epoch 1/25
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
I0000 00:00:1762623536.368908 1421521 service.cc:152] XLA service 0x7670c400a680 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
I0000 00:00:1762623536.368948 1421521 service.cc:160]   StreamExecutor device (0): NVIDIA GeForce RTX 4060 Ti, Compute Capability 8.9
2025-11-08 18:38:56.395739: I tensorflow/compiler/mlir/tensorflow/utils/dump_mlir_util.cc:269] disabling MLIR crash reproducer, set env var `MLIR_CRASH_REPRODUCER_DIRECTORY` to enable.
I0000 00:00:1762623536.528884 1421521 cuda_dnn.cc:529] Loaded cuDNN version 91002
I0000 00:00:1762623538.240698 1421521 device_compiler.h:188] Compiled cluster using XLA!  This line is logged at most once for the lifetime of the process.

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[1m186/547[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.1720 - loss: 2.3377
[1m224/547[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.1783 - loss: 2.3042
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[1m296/547[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.1895 - loss: 2.2551
[1m336/547[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.1951 - loss: 2.2337
[1m374/547[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.2000 - loss: 2.2158
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[1m530/547[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m0s[0m 1ms/step - accuracy: 0.2164 - loss: 2.1571
[1m547/547[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 4ms/step - accuracy: 0.2180 - loss: 2.15162025-11-08 18:39:01.182356: I external/local_xla/xla/stream_executor/cuda/subprocess_compilation.cc:346] ptxas warning : Registers are spilled to local memory in function 'gemm_fusion_dot_92', 8 bytes spill stores, 8 bytes spill loads

2025-11-08 18:39:02.382173: I external/local_xla/xla/stream_executor/cuda/subprocess_compilation.cc:346] ptxas warning : Registers are spilled to local memory in function 'gemm_fusion_dot_92', 8 bytes spill stores, 8 bytes spill loads


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Epoch 2/25

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Epoch 3/25

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Epoch 4/25

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Epoch 5/25

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Epoch 6/25

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Epoch 7/25

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Epoch 8/25

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Saved model to disk.
['CAMINAR CON LA COMPRA' 'CAMINAR CON MÓVIL O LIBRO' 'CAMINAR USUAL SPEED'
 'CAMINAR ZIGZAG' 'DE PIE BARRIENDO' 'DE PIE DOBLANDO TOALLAS'
 'DE PIE MOVIENDO LIBROS' 'DE PIE USANDO PC' 'FASE REPOSO CON K5'
 'INCREMENTAL CICLOERGOMETRO' 'SENTADO LEYENDO' 'SENTADO USANDO PC'
 'SENTADO VIENDO LA TV' 'SUBIR Y BAJAR ESCALERAS' 'TROTAR']
15
Mapeo de etiquetas: {'CAMINAR CON LA COMPRA': 0, 'CAMINAR CON MÓVIL O LIBRO': 1, 'CAMINAR USUAL SPEED': 2, 'CAMINAR ZIGZAG': 3, 'DE PIE BARRIENDO': 4, 'DE PIE DOBLANDO TOALLAS': 5, 'DE PIE MOVIENDO LIBROS': 6, 'DE PIE USANDO PC': 7, 'FASE REPOSO CON K5': 8, 'INCREMENTAL CICLOERGOMETRO': 9, 'SENTADO LEYENDO': 10, 'SENTADO USANDO PC': 11, 'SENTADO VIENDO LA TV': 12, 'SUBIR Y BAJAR ESCALERAS': 13, 'TROTAR': 14}
Loaded model from disk.
(2392, 6, 250)
(17480, 6, 250)

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[1m  1/159[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m2s[0m 16ms/step
[1m 63/159[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m0s[0m 814us/step
[1m132/159[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m0s[0m 772us/step
[1m159/159[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 7ms/step  
[1m159/159[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m1s[0m 7ms/step
Global accuracy score (validation) = 45.36 [%]
Global F1 score (validation) = 42.6 [%]
[[5.]
 [5.]
 [5.]
 ...
 [9.]
 [9.]
 [9.]]
(2392, 1)
[[2.0928662e-03 4.3712044e-03 1.2070541e-03 ... 1.2959617e-03
  1.0391886e-03 8.7613089e-04]
 [1.4446082e-03 2.3423457e-03 6.9868786e-04 ... 8.5841084e-04
  4.3390150e-04 3.9439386e-04]
 [1.4279048e-03 2.0192675e-03 6.9278246e-04 ... 8.8110293e-04
  7.9789810e-04 4.3959144e-04]
 ...
 [4.4837439e-06 1.9747841e-07 1.5211927e-07 ... 2.8611589e-07
  5.2119418e-07 4.6866921e-06]
 [2.3297447e-07 4.0762922e-09 3.7025284e-08 ... 1.1647544e-08
  1.2832355e-08 7.0649639e-07]
 [3.8161175e-04 1.2891025e-04 1.5631290e-04 ... 4.8229548e-01
  1.1512516e-03 3.6833319e-04]]
(2392, 15)
-------------------------------------------------

Global accuracy score (train) = 76.36 [%]
Global accuracy score (test) = 46.24 [%]
Global F1 score (train) = 73.51 [%]
Global F1 score (test) = 45.42 [%]
                            precision    recall  f1-score   support

     CAMINAR CON LA COMPRA       0.26      0.29      0.27       161
 CAMINAR CON MÓVIL O LIBRO       0.29      0.31      0.30       161
       CAMINAR USUAL SPEED       0.25      0.37      0.30       161
            CAMINAR ZIGZAG       0.50      0.39      0.44       161
          DE PIE BARRIENDO       0.55      0.32      0.41       161
   DE PIE DOBLANDO TOALLAS       0.30      0.34      0.32       161
    DE PIE MOVIENDO LIBROS       0.30      0.43      0.35       161
          DE PIE USANDO PC       0.82      0.77      0.79       161
        FASE REPOSO CON K5       0.85      0.89      0.87       161
INCREMENTAL CICLOERGOMETRO       0.95      0.88      0.91       161
           SENTADO LEYENDO       0.00      0.00      0.00       161
         SENTADO USANDO PC       0.29      0.12      0.17       161
      SENTADO VIENDO LA TV       0.29      0.65      0.40       161
   SUBIR Y BAJAR ESCALERAS       0.55      0.39      0.46       161
                    TROTAR       0.82      0.83      0.82       138

                  accuracy                           0.46      2392
                 macro avg       0.47      0.47      0.45      2392
              weighted avg       0.46      0.46      0.45      2392


Accuracy capturado en la ejecución 11: 46.24 [%]
F1-score capturado en la ejecución 11: 45.42 [%]

=== EJECUCIÓN 12 ===

--- TRAIN (ejecución 12) ---

--- TEST (ejecución 12) ---
2025-11-08 18:39:24.286761: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2025-11-08 18:39:24.298218: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
E0000 00:00:1762623564.311714 1423285 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762623564.315815 1423285 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762623564.325607 1423285 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762623564.325626 1423285 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762623564.325628 1423285 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762623564.325629 1423285 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-08 18:39:24.328768: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
I0000 00:00:1762623566.679369 1423285 gpu_device.cc:2019] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 13758 MB memory:  -> device: 0, name: NVIDIA GeForce RTX 4060 Ti, pci bus id: 0000:65:00.0, compute capability: 8.9
1 GPU(s) detected and VRAM set to crossover mode..
Epoch 1/25
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
I0000 00:00:1762623568.114247 1423395 service.cc:152] XLA service 0x7ee07000b290 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
I0000 00:00:1762623568.114300 1423395 service.cc:160]   StreamExecutor device (0): NVIDIA GeForce RTX 4060 Ti, Compute Capability 8.9
2025-11-08 18:39:28.139026: I tensorflow/compiler/mlir/tensorflow/utils/dump_mlir_util.cc:269] disabling MLIR crash reproducer, set env var `MLIR_CRASH_REPRODUCER_DIRECTORY` to enable.
I0000 00:00:1762623568.268445 1423395 cuda_dnn.cc:529] Loaded cuDNN version 91002
I0000 00:00:1762623569.994075 1423395 device_compiler.h:188] Compiled cluster using XLA!  This line is logged at most once for the lifetime of the process.

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[1m179/547[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.1689 - loss: 2.3294
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2025-11-08 18:39:34.053616: I external/local_xla/xla/stream_executor/cuda/subprocess_compilation.cc:346] ptxas warning : Registers are spilled to local memory in function 'gemm_fusion_dot_92', 8 bytes spill stores, 8 bytes spill loads

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Epoch 2/25

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Epoch 3/25

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Epoch 4/25

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Epoch 5/25

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Epoch 6/25

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Epoch 7/25

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[1m530/547[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m0s[0m 1ms/step - accuracy: 0.7202 - loss: 0.7357
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Epoch 8/25

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[1m 1/75[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m32s[0m 441ms/step
[1m58/75[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m0s[0m 885us/step 
[1m75/75[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 16ms/step 
[1m75/75[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m2s[0m 16ms/step
Saved model to disk.
['CAMINAR CON LA COMPRA' 'CAMINAR CON MÓVIL O LIBRO' 'CAMINAR USUAL SPEED'
 'CAMINAR ZIGZAG' 'DE PIE BARRIENDO' 'DE PIE DOBLANDO TOALLAS'
 'DE PIE MOVIENDO LIBROS' 'DE PIE USANDO PC' 'FASE REPOSO CON K5'
 'INCREMENTAL CICLOERGOMETRO' 'SENTADO LEYENDO' 'SENTADO USANDO PC'
 'SENTADO VIENDO LA TV' 'SUBIR Y BAJAR ESCALERAS' 'TROTAR']
15
Mapeo de etiquetas: {'CAMINAR CON LA COMPRA': 0, 'CAMINAR CON MÓVIL O LIBRO': 1, 'CAMINAR USUAL SPEED': 2, 'CAMINAR ZIGZAG': 3, 'DE PIE BARRIENDO': 4, 'DE PIE DOBLANDO TOALLAS': 5, 'DE PIE MOVIENDO LIBROS': 6, 'DE PIE USANDO PC': 7, 'FASE REPOSO CON K5': 8, 'INCREMENTAL CICLOERGOMETRO': 9, 'SENTADO LEYENDO': 10, 'SENTADO USANDO PC': 11, 'SENTADO VIENDO LA TV': 12, 'SUBIR Y BAJAR ESCALERAS': 13, 'TROTAR': 14}
Loaded model from disk.
(2392, 6, 250)
(17480, 6, 250)

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[1m 1/75[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m1s[0m 16ms/step
[1m69/75[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m0s[0m 743us/step
[1m75/75[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 15ms/step 
[1m75/75[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m1s[0m 15ms/step

[1m  1/159[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m2s[0m 16ms/step
[1m 52/159[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m0s[0m 1ms/step 
[1m118/159[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m0s[0m 869us/step
[1m159/159[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 8ms/step  
[1m159/159[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m1s[0m 8ms/step
Global accuracy score (validation) = 46.36 [%]
Global F1 score (validation) = 43.94 [%]
[[5.]
 [5.]
 [5.]
 ...
 [9.]
 [9.]
 [9.]]
(2392, 1)
[[1.1332943e-03 5.1687827e-04 8.8753138e-04 ... 4.2517018e-05
  3.5670804e-04 4.0181159e-05]
 [5.8244108e-03 4.6194838e-03 5.3080288e-03 ... 6.2743790e-04
  2.1457076e-03 2.2651796e-04]
 [1.7298099e-03 6.6242472e-04 1.0141321e-03 ... 4.0308871e-05
  2.8190477e-04 6.7437017e-05]
 ...
 [2.0808193e-07 8.8846420e-08 2.1216037e-08 ... 1.2477857e-08
  4.1351265e-07 1.3791440e-05]
 [2.7782125e-08 2.5000492e-08 9.0323615e-09 ... 1.5847352e-09
  5.6868683e-09 3.1203427e-07]
 [1.6121901e-04 3.0664171e-04 2.4901752e-04 ... 4.3059072e-01
  1.5089965e-03 4.1550983e-04]]
(2392, 15)
-------------------------------------------------

Global accuracy score (train) = 74.51 [%]
Global accuracy score (test) = 45.74 [%]
Global F1 score (train) = 72.3 [%]
Global F1 score (test) = 43.69 [%]
                            precision    recall  f1-score   support

     CAMINAR CON LA COMPRA       0.26      0.39      0.31       161
 CAMINAR CON MÓVIL O LIBRO       0.28      0.27      0.28       161
       CAMINAR USUAL SPEED       0.23      0.18      0.20       161
            CAMINAR ZIGZAG       0.48      0.55      0.51       161
          DE PIE BARRIENDO       0.52      0.48      0.50       161
   DE PIE DOBLANDO TOALLAS       0.33      0.49      0.40       161
    DE PIE MOVIENDO LIBROS       0.43      0.30      0.36       161
          DE PIE USANDO PC       0.77      0.70      0.74       161
        FASE REPOSO CON K5       0.83      0.71      0.77       161
INCREMENTAL CICLOERGOMETRO       0.90      0.86      0.88       161
           SENTADO LEYENDO       0.00      0.00      0.00       161
         SENTADO USANDO PC       0.00      0.00      0.00       161
      SENTADO VIENDO LA TV       0.28      0.81      0.42       161
   SUBIR Y BAJAR ESCALERAS       0.48      0.36      0.41       161
                    TROTAR       0.79      0.80      0.79       138

                  accuracy                           0.46      2392
                 macro avg       0.44      0.46      0.44      2392
              weighted avg       0.44      0.46      0.43      2392


Accuracy capturado en la ejecución 12: 45.74 [%]
F1-score capturado en la ejecución 12: 43.69 [%]

=== EJECUCIÓN 13 ===

--- TRAIN (ejecución 13) ---

--- TEST (ejecución 13) ---
2025-11-08 18:39:55.687153: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2025-11-08 18:39:55.698733: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
E0000 00:00:1762623595.712797 1425142 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762623595.717111 1425142 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762623595.727151 1425142 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762623595.727171 1425142 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762623595.727173 1425142 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762623595.727174 1425142 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-08 18:39:55.730384: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
I0000 00:00:1762623598.117909 1425142 gpu_device.cc:2019] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 13758 MB memory:  -> device: 0, name: NVIDIA GeForce RTX 4060 Ti, pci bus id: 0000:65:00.0, compute capability: 8.9
1 GPU(s) detected and VRAM set to crossover mode..
Epoch 1/25
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
I0000 00:00:1762623599.531805 1425258 service.cc:152] XLA service 0x7d99a800a4d0 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
I0000 00:00:1762623599.531860 1425258 service.cc:160]   StreamExecutor device (0): NVIDIA GeForce RTX 4060 Ti, Compute Capability 8.9
2025-11-08 18:39:59.558114: I tensorflow/compiler/mlir/tensorflow/utils/dump_mlir_util.cc:269] disabling MLIR crash reproducer, set env var `MLIR_CRASH_REPRODUCER_DIRECTORY` to enable.
I0000 00:00:1762623599.683622 1425258 cuda_dnn.cc:529] Loaded cuDNN version 91002
I0000 00:00:1762623601.405112 1425258 device_compiler.h:188] Compiled cluster using XLA!  This line is logged at most once for the lifetime of the process.

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2025-11-08 18:40:05.473107: I external/local_xla/xla/stream_executor/cuda/subprocess_compilation.cc:346] ptxas warning : Registers are spilled to local memory in function 'gemm_fusion_dot_92', 8 bytes spill stores, 8 bytes spill loads


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Epoch 2/25

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Epoch 3/25

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Epoch 4/25

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Epoch 5/25

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Epoch 6/25

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Epoch 7/25

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[1m 1/75[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m32s[0m 444ms/step
[1m62/75[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m0s[0m 835us/step 
[1m75/75[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 16ms/step 
[1m75/75[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m2s[0m 16ms/step
Saved model to disk.
['CAMINAR CON LA COMPRA' 'CAMINAR CON MÓVIL O LIBRO' 'CAMINAR USUAL SPEED'
 'CAMINAR ZIGZAG' 'DE PIE BARRIENDO' 'DE PIE DOBLANDO TOALLAS'
 'DE PIE MOVIENDO LIBROS' 'DE PIE USANDO PC' 'FASE REPOSO CON K5'
 'INCREMENTAL CICLOERGOMETRO' 'SENTADO LEYENDO' 'SENTADO USANDO PC'
 'SENTADO VIENDO LA TV' 'SUBIR Y BAJAR ESCALERAS' 'TROTAR']
15
Mapeo de etiquetas: {'CAMINAR CON LA COMPRA': 0, 'CAMINAR CON MÓVIL O LIBRO': 1, 'CAMINAR USUAL SPEED': 2, 'CAMINAR ZIGZAG': 3, 'DE PIE BARRIENDO': 4, 'DE PIE DOBLANDO TOALLAS': 5, 'DE PIE MOVIENDO LIBROS': 6, 'DE PIE USANDO PC': 7, 'FASE REPOSO CON K5': 8, 'INCREMENTAL CICLOERGOMETRO': 9, 'SENTADO LEYENDO': 10, 'SENTADO USANDO PC': 11, 'SENTADO VIENDO LA TV': 12, 'SUBIR Y BAJAR ESCALERAS': 13, 'TROTAR': 14}
Loaded model from disk.
(2392, 6, 250)
(17480, 6, 250)

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[1m547/547[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 2ms/step  
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[1m61/75[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m0s[0m 845us/step
[1m75/75[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 15ms/step 
[1m75/75[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m1s[0m 15ms/step

[1m  1/159[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m2s[0m 16ms/step
[1m 59/159[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m0s[0m 863us/step
[1m120/159[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m0s[0m 847us/step
[1m159/159[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 7ms/step  
[1m159/159[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m1s[0m 7ms/step
Global accuracy score (validation) = 46.03 [%]
Global F1 score (validation) = 43.8 [%]
[[5.]
 [5.]
 [5.]
 ...
 [9.]
 [9.]
 [9.]]
(2392, 1)
[[1.94364309e-03 2.54455232e-03 1.20652595e-03 ... 2.02239273e-04
  7.95814791e-04 6.23475062e-04]
 [7.11508677e-04 5.71255514e-04 3.63187748e-04 ... 1.49030266e-05
  1.36591494e-04 1.04774583e-04]
 [4.46385285e-03 3.89384641e-03 3.45310220e-03 ... 7.84552423e-04
  1.13781134e-03 1.00504185e-04]
 ...
 [1.95550086e-07 6.99168936e-08 3.90374275e-08 ... 5.66768321e-08
  1.78650532e-06 6.29663991e-05]
 [7.17087289e-07 2.77463130e-07 3.42411042e-08 ... 2.13236405e-07
  1.38421262e-06 5.67693023e-05]
 [2.38011591e-04 1.57337883e-04 1.13521215e-04 ... 3.64862055e-01
  3.39180767e-03 1.86634294e-04]]
(2392, 15)
-------------------------------------------------

Global accuracy score (train) = 77.38 [%]
Global accuracy score (test) = 47.87 [%]
Global F1 score (train) = 75.01 [%]
Global F1 score (test) = 46.17 [%]
                            precision    recall  f1-score   support

     CAMINAR CON LA COMPRA       0.34      0.32      0.33       161
 CAMINAR CON MÓVIL O LIBRO       0.25      0.29      0.27       161
       CAMINAR USUAL SPEED       0.17      0.14      0.15       161
            CAMINAR ZIGZAG       0.44      0.60      0.50       161
          DE PIE BARRIENDO       0.50      0.45      0.48       161
   DE PIE DOBLANDO TOALLAS       0.40      0.40      0.40       161
    DE PIE MOVIENDO LIBROS       0.39      0.42      0.41       161
          DE PIE USANDO PC       0.74      0.76      0.75       161
        FASE REPOSO CON K5       0.86      0.89      0.87       161
INCREMENTAL CICLOERGOMETRO       0.95      0.86      0.90       161
           SENTADO LEYENDO       0.00      0.00      0.00       161
         SENTADO USANDO PC       0.48      0.25      0.33       161
      SENTADO VIENDO LA TV       0.32      0.75      0.45       161
   SUBIR Y BAJAR ESCALERAS       0.40      0.33      0.36       161
                    TROTAR       0.69      0.78      0.73       138

                  accuracy                           0.48      2392
                 macro avg       0.46      0.48      0.46      2392
              weighted avg       0.46      0.48      0.46      2392


Accuracy capturado en la ejecución 13: 47.87 [%]
F1-score capturado en la ejecución 13: 46.17 [%]

=== EJECUCIÓN 14 ===

--- TRAIN (ejecución 14) ---

--- TEST (ejecución 14) ---
2025-11-08 18:40:26.336685: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2025-11-08 18:40:26.347938: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
E0000 00:00:1762623626.361034 1426916 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762623626.365154 1426916 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762623626.374984 1426916 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762623626.375002 1426916 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762623626.375004 1426916 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762623626.375006 1426916 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-08 18:40:26.378146: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
I0000 00:00:1762623628.774651 1426916 gpu_device.cc:2019] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 13758 MB memory:  -> device: 0, name: NVIDIA GeForce RTX 4060 Ti, pci bus id: 0000:65:00.0, compute capability: 8.9
1 GPU(s) detected and VRAM set to crossover mode..
Epoch 1/25
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
I0000 00:00:1762623630.214255 1427048 service.cc:152] XLA service 0x7b146401cec0 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
I0000 00:00:1762623630.214289 1427048 service.cc:160]   StreamExecutor device (0): NVIDIA GeForce RTX 4060 Ti, Compute Capability 8.9
2025-11-08 18:40:30.239296: I tensorflow/compiler/mlir/tensorflow/utils/dump_mlir_util.cc:269] disabling MLIR crash reproducer, set env var `MLIR_CRASH_REPRODUCER_DIRECTORY` to enable.
I0000 00:00:1762623630.369274 1427048 cuda_dnn.cc:529] Loaded cuDNN version 91002
I0000 00:00:1762623632.066022 1427048 device_compiler.h:188] Compiled cluster using XLA!  This line is logged at most once for the lifetime of the process.

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[1m183/547[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.1668 - loss: 2.3867
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[1m453/547[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.2143 - loss: 2.1872
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[1m547/547[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 4ms/step - accuracy: 0.2269 - loss: 2.14122025-11-08 18:40:35.035919: I external/local_xla/xla/stream_executor/cuda/subprocess_compilation.cc:346] ptxas warning : Registers are spilled to local memory in function 'gemm_fusion_dot_92', 8 bytes spill stores, 8 bytes spill loads

2025-11-08 18:40:36.177671: I external/local_xla/xla/stream_executor/cuda/subprocess_compilation.cc:346] ptxas warning : Registers are spilled to local memory in function 'gemm_fusion_dot_92', 8 bytes spill stores, 8 bytes spill loads


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Epoch 2/25

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Epoch 3/25

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Epoch 4/25

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Epoch 5/25

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Epoch 6/25

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[1m518/547[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m0s[0m 1ms/step - accuracy: 0.6856 - loss: 0.8335
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Epoch 7/25

[1m  1/547[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m11s[0m 21ms/step - accuracy: 0.7188 - loss: 0.7720
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[1m 78/547[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.7079 - loss: 0.7370
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[1m271/547[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.7104 - loss: 0.7429
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[1m 1/75[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m32s[0m 440ms/step
[1m56/75[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m0s[0m 916us/step 
[1m75/75[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 16ms/step 
[1m75/75[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m2s[0m 16ms/step
Saved model to disk.
['CAMINAR CON LA COMPRA' 'CAMINAR CON MÓVIL O LIBRO' 'CAMINAR USUAL SPEED'
 'CAMINAR ZIGZAG' 'DE PIE BARRIENDO' 'DE PIE DOBLANDO TOALLAS'
 'DE PIE MOVIENDO LIBROS' 'DE PIE USANDO PC' 'FASE REPOSO CON K5'
 'INCREMENTAL CICLOERGOMETRO' 'SENTADO LEYENDO' 'SENTADO USANDO PC'
 'SENTADO VIENDO LA TV' 'SUBIR Y BAJAR ESCALERAS' 'TROTAR']
15
Mapeo de etiquetas: {'CAMINAR CON LA COMPRA': 0, 'CAMINAR CON MÓVIL O LIBRO': 1, 'CAMINAR USUAL SPEED': 2, 'CAMINAR ZIGZAG': 3, 'DE PIE BARRIENDO': 4, 'DE PIE DOBLANDO TOALLAS': 5, 'DE PIE MOVIENDO LIBROS': 6, 'DE PIE USANDO PC': 7, 'FASE REPOSO CON K5': 8, 'INCREMENTAL CICLOERGOMETRO': 9, 'SENTADO LEYENDO': 10, 'SENTADO USANDO PC': 11, 'SENTADO VIENDO LA TV': 12, 'SUBIR Y BAJAR ESCALERAS': 13, 'TROTAR': 14}
Loaded model from disk.
(2392, 6, 250)
(17480, 6, 250)

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[1m188/547[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m0s[0m 806us/step
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[1m 1/75[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m1s[0m 16ms/step
[1m62/75[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m0s[0m 827us/step
[1m75/75[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 15ms/step 
[1m75/75[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m1s[0m 15ms/step

[1m  1/159[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m2s[0m 16ms/step
[1m 63/159[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m0s[0m 809us/step
[1m131/159[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m0s[0m 773us/step
[1m159/159[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 7ms/step  
[1m159/159[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m1s[0m 7ms/step
Global accuracy score (validation) = 46.5 [%]
Global F1 score (validation) = 44.64 [%]
[[5.]
 [5.]
 [5.]
 ...
 [9.]
 [9.]
 [9.]]
(2392, 1)
[[1.2275600e-04 3.9563496e-05 3.6978021e-05 ... 2.1391729e-07
  1.2357433e-06 1.2483231e-05]
 [4.1127726e-03 3.4581614e-03 1.8111999e-03 ... 3.8844146e-04
  6.2657177e-04 2.5062117e-04]
 [2.9465086e-03 8.1665593e-04 7.6219207e-04 ... 1.2489129e-04
  2.7982125e-04 1.4171985e-04]
 ...
 [2.1833092e-08 2.2252461e-08 4.7504297e-08 ... 4.1933749e-08
  1.0298107e-06 7.6063872e-05]
 [5.2327451e-08 2.3363615e-08 2.8555350e-08 ... 1.5152875e-07
  8.3809510e-08 3.0865017e-04]
 [2.7906480e-03 3.1836980e-03 1.1824998e-03 ... 2.4552540e-01
  5.5437963e-03 1.8840611e-03]]
(2392, 15)
-------------------------------------------------

Global accuracy score (train) = 76.76 [%]
Global accuracy score (test) = 49.83 [%]
Global F1 score (train) = 76.09 [%]
Global F1 score (test) = 47.56 [%]
                            precision    recall  f1-score   support

     CAMINAR CON LA COMPRA       0.30      0.29      0.29       161
 CAMINAR CON MÓVIL O LIBRO       0.34      0.30      0.32       161
       CAMINAR USUAL SPEED       0.28      0.44      0.34       161
            CAMINAR ZIGZAG       0.46      0.53      0.49       161
          DE PIE BARRIENDO       0.56      0.37      0.45       161
   DE PIE DOBLANDO TOALLAS       0.37      0.37      0.37       161
    DE PIE MOVIENDO LIBROS       0.41      0.51      0.46       161
          DE PIE USANDO PC       0.85      0.79      0.82       161
        FASE REPOSO CON K5       0.76      0.89      0.82       161
INCREMENTAL CICLOERGOMETRO       0.96      0.84      0.90       161
           SENTADO LEYENDO       0.36      0.98      0.53       161
         SENTADO USANDO PC       0.55      0.07      0.12       161
      SENTADO VIENDO LA TV       0.18      0.01      0.02       161
   SUBIR Y BAJAR ESCALERAS       0.48      0.34      0.39       161
                    TROTAR       0.82      0.78      0.80       138

                  accuracy                           0.50      2392
                 macro avg       0.51      0.50      0.48      2392
              weighted avg       0.51      0.50      0.47      2392


Accuracy capturado en la ejecución 14: 49.83 [%]
F1-score capturado en la ejecución 14: 47.56 [%]

=== EJECUCIÓN 15 ===

--- TRAIN (ejecución 15) ---

--- TEST (ejecución 15) ---
2025-11-08 18:40:57.044446: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2025-11-08 18:40:57.055790: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
E0000 00:00:1762623657.068871 1428680 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762623657.073032 1428680 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762623657.082784 1428680 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762623657.082802 1428680 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762623657.082804 1428680 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762623657.082805 1428680 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-08 18:40:57.085988: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
I0000 00:00:1762623659.476351 1428680 gpu_device.cc:2019] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 13758 MB memory:  -> device: 0, name: NVIDIA GeForce RTX 4060 Ti, pci bus id: 0000:65:00.0, compute capability: 8.9
1 GPU(s) detected and VRAM set to crossover mode..
Epoch 1/25
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
I0000 00:00:1762623660.884309 1428817 service.cc:152] XLA service 0x737b3401d0f0 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
I0000 00:00:1762623660.884367 1428817 service.cc:160]   StreamExecutor device (0): NVIDIA GeForce RTX 4060 Ti, Compute Capability 8.9
2025-11-08 18:41:00.913185: I tensorflow/compiler/mlir/tensorflow/utils/dump_mlir_util.cc:269] disabling MLIR crash reproducer, set env var `MLIR_CRASH_REPRODUCER_DIRECTORY` to enable.
I0000 00:00:1762623661.046464 1428817 cuda_dnn.cc:529] Loaded cuDNN version 91002
I0000 00:00:1762623662.745396 1428817 device_compiler.h:188] Compiled cluster using XLA!  This line is logged at most once for the lifetime of the process.

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2025-11-08 18:41:06.838220: I external/local_xla/xla/stream_executor/cuda/subprocess_compilation.cc:346] ptxas warning : Registers are spilled to local memory in function 'gemm_fusion_dot_92', 8 bytes spill stores, 8 bytes spill loads


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Epoch 2/25

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Epoch 3/25

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Epoch 4/25

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Epoch 5/25

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Epoch 6/25

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Epoch 7/25

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Epoch 8/25

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Saved model to disk.
['CAMINAR CON LA COMPRA' 'CAMINAR CON MÓVIL O LIBRO' 'CAMINAR USUAL SPEED'
 'CAMINAR ZIGZAG' 'DE PIE BARRIENDO' 'DE PIE DOBLANDO TOALLAS'
 'DE PIE MOVIENDO LIBROS' 'DE PIE USANDO PC' 'FASE REPOSO CON K5'
 'INCREMENTAL CICLOERGOMETRO' 'SENTADO LEYENDO' 'SENTADO USANDO PC'
 'SENTADO VIENDO LA TV' 'SUBIR Y BAJAR ESCALERAS' 'TROTAR']
15
Mapeo de etiquetas: {'CAMINAR CON LA COMPRA': 0, 'CAMINAR CON MÓVIL O LIBRO': 1, 'CAMINAR USUAL SPEED': 2, 'CAMINAR ZIGZAG': 3, 'DE PIE BARRIENDO': 4, 'DE PIE DOBLANDO TOALLAS': 5, 'DE PIE MOVIENDO LIBROS': 6, 'DE PIE USANDO PC': 7, 'FASE REPOSO CON K5': 8, 'INCREMENTAL CICLOERGOMETRO': 9, 'SENTADO LEYENDO': 10, 'SENTADO USANDO PC': 11, 'SENTADO VIENDO LA TV': 12, 'SUBIR Y BAJAR ESCALERAS': 13, 'TROTAR': 14}
Loaded model from disk.
(2392, 6, 250)
(17480, 6, 250)

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[1m 65/159[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m0s[0m 791us/step
[1m132/159[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m0s[0m 773us/step
[1m159/159[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 7ms/step  
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Global accuracy score (validation) = 46.66 [%]
Global F1 score (validation) = 43.54 [%]
[[5.]
 [5.]
 [5.]
 ...
 [9.]
 [9.]
 [9.]]
(2392, 1)
[[2.2367546e-03 2.5760077e-03 1.1616719e-03 ... 1.4909209e-03
  8.8056619e-04 2.9888668e-04]
 [1.9823487e-03 1.7926340e-03 9.2758896e-04 ... 3.5539758e-04
  4.5892890e-04 3.8704812e-04]
 [4.3347687e-03 3.2135097e-03 1.3377862e-03 ... 3.0449513e-04
  7.8272779e-04 2.6682729e-04]
 ...
 [3.1057377e-07 6.5348451e-07 1.0803508e-05 ... 9.8306339e-07
  1.2348753e-05 3.4168981e-05]
 [2.2531076e-06 3.5168334e-06 3.3676115e-05 ... 4.5949500e-06
  4.7816502e-05 2.7589125e-04]
 [8.3055545e-04 6.7961955e-04 6.7110272e-04 ... 1.8597986e-01
  1.1853991e-02 9.5105078e-04]]
(2392, 15)
-------------------------------------------------

Global accuracy score (train) = 74.94 [%]
Global accuracy score (test) = 44.11 [%]
Global F1 score (train) = 72.9 [%]
Global F1 score (test) = 42.49 [%]
                            precision    recall  f1-score   support

     CAMINAR CON LA COMPRA       0.22      0.14      0.17       161
 CAMINAR CON MÓVIL O LIBRO       0.16      0.15      0.15       161
       CAMINAR USUAL SPEED       0.24      0.32      0.27       161
            CAMINAR ZIGZAG       0.44      0.40      0.42       161
          DE PIE BARRIENDO       0.56      0.32      0.41       161
   DE PIE DOBLANDO TOALLAS       0.32      0.38      0.35       161
    DE PIE MOVIENDO LIBROS       0.33      0.49      0.39       161
          DE PIE USANDO PC       0.89      0.69      0.78       161
        FASE REPOSO CON K5       0.61      0.74      0.67       161
INCREMENTAL CICLOERGOMETRO       0.98      0.86      0.91       161
           SENTADO LEYENDO       0.31      0.73      0.43       161
         SENTADO USANDO PC       0.31      0.09      0.14       161
      SENTADO VIENDO LA TV       1.00      0.01      0.01       161
   SUBIR Y BAJAR ESCALERAS       0.40      0.57      0.47       161
                    TROTAR       0.80      0.78      0.79       138

                  accuracy                           0.44      2392
                 macro avg       0.50      0.44      0.42      2392
              weighted avg       0.50      0.44      0.42      2392


Accuracy capturado en la ejecución 15: 44.11 [%]
F1-score capturado en la ejecución 15: 42.49 [%]

=== EJECUCIÓN 16 ===

--- TRAIN (ejecución 16) ---

--- TEST (ejecución 16) ---
2025-11-08 18:41:28.670753: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2025-11-08 18:41:28.681995: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
E0000 00:00:1762623688.695141 1430547 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762623688.699181 1430547 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762623688.709308 1430547 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762623688.709326 1430547 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762623688.709328 1430547 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762623688.709338 1430547 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-08 18:41:28.712646: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
I0000 00:00:1762623691.101760 1430547 gpu_device.cc:2019] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 13758 MB memory:  -> device: 0, name: NVIDIA GeForce RTX 4060 Ti, pci bus id: 0000:65:00.0, compute capability: 8.9
1 GPU(s) detected and VRAM set to crossover mode..
Epoch 1/25
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
I0000 00:00:1762623692.553858 1430679 service.cc:152] XLA service 0x77e20000b380 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
I0000 00:00:1762623692.553893 1430679 service.cc:160]   StreamExecutor device (0): NVIDIA GeForce RTX 4060 Ti, Compute Capability 8.9
2025-11-08 18:41:32.579764: I tensorflow/compiler/mlir/tensorflow/utils/dump_mlir_util.cc:269] disabling MLIR crash reproducer, set env var `MLIR_CRASH_REPRODUCER_DIRECTORY` to enable.
I0000 00:00:1762623692.713176 1430679 cuda_dnn.cc:529] Loaded cuDNN version 91002
I0000 00:00:1762623694.439912 1430679 device_compiler.h:188] Compiled cluster using XLA!  This line is logged at most once for the lifetime of the process.

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[1m116/547[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.1719 - loss: 2.4345
[1m157/547[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.1781 - loss: 2.3775
[1m193/547[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.1827 - loss: 2.3411
[1m229/547[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.1868 - loss: 2.3114
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[1m306/547[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.1955 - loss: 2.2605
[1m347/547[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.2002 - loss: 2.2381
[1m388/547[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.2049 - loss: 2.2176
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[1m539/547[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m0s[0m 1ms/step - accuracy: 0.2224 - loss: 2.1535
[1m547/547[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 4ms/step - accuracy: 0.2233 - loss: 2.15052025-11-08 18:41:37.369544: I external/local_xla/xla/stream_executor/cuda/subprocess_compilation.cc:346] ptxas warning : Registers are spilled to local memory in function 'gemm_fusion_dot_92', 8 bytes spill stores, 8 bytes spill loads

2025-11-08 18:41:38.571691: I external/local_xla/xla/stream_executor/cuda/subprocess_compilation.cc:346] ptxas warning : Registers are spilled to local memory in function 'gemm_fusion_dot_92', 8 bytes spill stores, 8 bytes spill loads


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Epoch 2/25

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Epoch 3/25

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Epoch 4/25

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Epoch 5/25

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Epoch 6/25

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Epoch 7/25

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Saved model to disk.
['CAMINAR CON LA COMPRA' 'CAMINAR CON MÓVIL O LIBRO' 'CAMINAR USUAL SPEED'
 'CAMINAR ZIGZAG' 'DE PIE BARRIENDO' 'DE PIE DOBLANDO TOALLAS'
 'DE PIE MOVIENDO LIBROS' 'DE PIE USANDO PC' 'FASE REPOSO CON K5'
 'INCREMENTAL CICLOERGOMETRO' 'SENTADO LEYENDO' 'SENTADO USANDO PC'
 'SENTADO VIENDO LA TV' 'SUBIR Y BAJAR ESCALERAS' 'TROTAR']
15
Mapeo de etiquetas: {'CAMINAR CON LA COMPRA': 0, 'CAMINAR CON MÓVIL O LIBRO': 1, 'CAMINAR USUAL SPEED': 2, 'CAMINAR ZIGZAG': 3, 'DE PIE BARRIENDO': 4, 'DE PIE DOBLANDO TOALLAS': 5, 'DE PIE MOVIENDO LIBROS': 6, 'DE PIE USANDO PC': 7, 'FASE REPOSO CON K5': 8, 'INCREMENTAL CICLOERGOMETRO': 9, 'SENTADO LEYENDO': 10, 'SENTADO USANDO PC': 11, 'SENTADO VIENDO LA TV': 12, 'SUBIR Y BAJAR ESCALERAS': 13, 'TROTAR': 14}
Loaded model from disk.
(2392, 6, 250)
(17480, 6, 250)

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[1m 61/159[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m0s[0m 844us/step
[1m128/159[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m0s[0m 793us/step
[1m159/159[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 8ms/step  
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Global accuracy score (validation) = 45.79 [%]
Global F1 score (validation) = 42.69 [%]
[[5.]
 [5.]
 [5.]
 ...
 [9.]
 [9.]
 [9.]]
(2392, 1)
[[1.58476504e-03 1.63106143e-03 7.42255710e-04 ... 3.99303768e-04
  5.71847544e-04 5.63332054e-04]
 [1.17522040e-02 1.28331734e-02 8.24964698e-03 ... 2.68272893e-03
  6.84770802e-03 1.50237943e-03]
 [1.67010899e-03 2.21531047e-03 1.05956814e-03 ... 5.76242805e-04
  5.16944856e-04 2.54260551e-04]
 ...
 [1.46478538e-10 3.27128602e-10 8.31496885e-11 ... 3.15901537e-12
  5.92070948e-10 1.06572578e-07]
 [6.67729427e-10 1.13118626e-10 3.25840827e-10 ... 7.71539516e-13
  5.46341722e-11 2.27794983e-09]
 [1.63020770e-04 1.45742408e-04 3.32967262e-04 ... 2.43971899e-01
  2.13699928e-03 1.85799698e-04]]
(2392, 15)
-------------------------------------------------

Global accuracy score (train) = 75.73 [%]
Global accuracy score (test) = 46.45 [%]
Global F1 score (train) = 73.32 [%]
Global F1 score (test) = 43.9 [%]
                            precision    recall  f1-score   support

     CAMINAR CON LA COMPRA       0.24      0.15      0.18       161
 CAMINAR CON MÓVIL O LIBRO       0.32      0.24      0.27       161
       CAMINAR USUAL SPEED       0.18      0.34      0.24       161
            CAMINAR ZIGZAG       0.58      0.40      0.47       161
          DE PIE BARRIENDO       0.64      0.32      0.42       161
   DE PIE DOBLANDO TOALLAS       0.36      0.48      0.41       161
    DE PIE MOVIENDO LIBROS       0.39      0.42      0.41       161
          DE PIE USANDO PC       0.81      0.74      0.77       161
        FASE REPOSO CON K5       0.81      0.89      0.85       161
INCREMENTAL CICLOERGOMETRO       0.88      0.88      0.88       161
           SENTADO LEYENDO       0.00      0.00      0.00       161
         SENTADO USANDO PC       0.31      0.85      0.45       161
      SENTADO VIENDO LA TV       0.00      0.00      0.00       161
   SUBIR Y BAJAR ESCALERAS       0.39      0.50      0.44       161
                    TROTAR       0.76      0.81      0.79       138

                  accuracy                           0.46      2392
                 macro avg       0.44      0.47      0.44      2392
              weighted avg       0.44      0.46      0.44      2392


Accuracy capturado en la ejecución 16: 46.45 [%]
F1-score capturado en la ejecución 16: 43.9 [%]

=== EJECUCIÓN 17 ===

--- TRAIN (ejecución 17) ---

--- TEST (ejecución 17) ---
2025-11-08 18:41:59.313639: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2025-11-08 18:41:59.325059: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
E0000 00:00:1762623719.338138 1432312 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762623719.342367 1432312 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762623719.352129 1432312 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762623719.352148 1432312 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762623719.352150 1432312 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762623719.352153 1432312 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-08 18:41:59.355306: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
I0000 00:00:1762623721.754569 1432312 gpu_device.cc:2019] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 13758 MB memory:  -> device: 0, name: NVIDIA GeForce RTX 4060 Ti, pci bus id: 0000:65:00.0, compute capability: 8.9
1 GPU(s) detected and VRAM set to crossover mode..
Epoch 1/25
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
I0000 00:00:1762623723.178983 1432451 service.cc:152] XLA service 0x7ff1a800a840 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
I0000 00:00:1762623723.179039 1432451 service.cc:160]   StreamExecutor device (0): NVIDIA GeForce RTX 4060 Ti, Compute Capability 8.9
2025-11-08 18:42:03.205421: I tensorflow/compiler/mlir/tensorflow/utils/dump_mlir_util.cc:269] disabling MLIR crash reproducer, set env var `MLIR_CRASH_REPRODUCER_DIRECTORY` to enable.
I0000 00:00:1762623723.334274 1432451 cuda_dnn.cc:529] Loaded cuDNN version 91002
I0000 00:00:1762623725.070906 1432451 device_compiler.h:188] Compiled cluster using XLA!  This line is logged at most once for the lifetime of the process.

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[1m115/547[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.1510 - loss: 2.4541
[1m155/547[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.1590 - loss: 2.3940
[1m194/547[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.1651 - loss: 2.3527
[1m234/547[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.1712 - loss: 2.3185
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[1m351/547[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.1884 - loss: 2.2459
[1m391/547[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.1934 - loss: 2.2267
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[1m542/547[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m0s[0m 1ms/step - accuracy: 0.2098 - loss: 2.1684
[1m547/547[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 4ms/step - accuracy: 0.2103 - loss: 2.16672025-11-08 18:42:08.024166: I external/local_xla/xla/stream_executor/cuda/subprocess_compilation.cc:346] ptxas warning : Registers are spilled to local memory in function 'gemm_fusion_dot_92', 8 bytes spill stores, 8 bytes spill loads

2025-11-08 18:42:09.293505: I external/local_xla/xla/stream_executor/cuda/subprocess_compilation.cc:346] ptxas warning : Registers are spilled to local memory in function 'gemm_fusion_dot_92', 8 bytes spill stores, 8 bytes spill loads


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Epoch 2/25

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Epoch 3/25

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Epoch 4/25

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Epoch 5/25

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Epoch 6/25

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Epoch 7/25

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Saved model to disk.
['CAMINAR CON LA COMPRA' 'CAMINAR CON MÓVIL O LIBRO' 'CAMINAR USUAL SPEED'
 'CAMINAR ZIGZAG' 'DE PIE BARRIENDO' 'DE PIE DOBLANDO TOALLAS'
 'DE PIE MOVIENDO LIBROS' 'DE PIE USANDO PC' 'FASE REPOSO CON K5'
 'INCREMENTAL CICLOERGOMETRO' 'SENTADO LEYENDO' 'SENTADO USANDO PC'
 'SENTADO VIENDO LA TV' 'SUBIR Y BAJAR ESCALERAS' 'TROTAR']
15
Mapeo de etiquetas: {'CAMINAR CON LA COMPRA': 0, 'CAMINAR CON MÓVIL O LIBRO': 1, 'CAMINAR USUAL SPEED': 2, 'CAMINAR ZIGZAG': 3, 'DE PIE BARRIENDO': 4, 'DE PIE DOBLANDO TOALLAS': 5, 'DE PIE MOVIENDO LIBROS': 6, 'DE PIE USANDO PC': 7, 'FASE REPOSO CON K5': 8, 'INCREMENTAL CICLOERGOMETRO': 9, 'SENTADO LEYENDO': 10, 'SENTADO USANDO PC': 11, 'SENTADO VIENDO LA TV': 12, 'SUBIR Y BAJAR ESCALERAS': 13, 'TROTAR': 14}
Loaded model from disk.
(2392, 6, 250)
(17480, 6, 250)

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[1m 65/159[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m0s[0m 785us/step
[1m132/159[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m0s[0m 770us/step
[1m159/159[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 8ms/step  
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Global accuracy score (validation) = 45.69 [%]
Global F1 score (validation) = 43.76 [%]
[[5.]
 [5.]
 [5.]
 ...
 [9.]
 [9.]
 [9.]]
(2392, 1)
[[6.58633246e-04 4.79343726e-04 2.44773459e-04 ... 1.39781878e-05
  3.43450432e-04 4.72762840e-05]
 [5.53344470e-03 7.14068767e-03 3.04597290e-03 ... 1.53003326e-02
  3.10573541e-03 3.47992405e-03]
 [2.04453361e-03 7.89518352e-04 6.49461173e-04 ... 3.68571673e-05
  5.00296301e-04 3.06997536e-05]
 ...
 [1.68757204e-08 8.20268298e-09 5.80320902e-09 ... 1.88314324e-08
  3.79736491e-07 1.60050241e-03]
 [1.01294195e-10 2.66408011e-12 4.61896840e-11 ... 9.86557190e-13
  5.38615774e-09 4.88252545e-06]
 [1.13987953e-04 6.19891289e-05 7.57778253e-05 ... 3.91256362e-01
  2.21328158e-03 8.02287686e-05]]
(2392, 15)
-------------------------------------------------

Global accuracy score (train) = 75.34 [%]
Global accuracy score (test) = 46.2 [%]
Global F1 score (train) = 73.55 [%]
Global F1 score (test) = 44.8 [%]
                            precision    recall  f1-score   support

     CAMINAR CON LA COMPRA       0.23      0.22      0.22       161
 CAMINAR CON MÓVIL O LIBRO       0.25      0.32      0.28       161
       CAMINAR USUAL SPEED       0.23      0.21      0.22       161
            CAMINAR ZIGZAG       0.44      0.42      0.43       161
          DE PIE BARRIENDO       0.59      0.39      0.47       161
   DE PIE DOBLANDO TOALLAS       0.33      0.32      0.33       161
    DE PIE MOVIENDO LIBROS       0.39      0.48      0.43       161
          DE PIE USANDO PC       0.74      0.84      0.79       161
        FASE REPOSO CON K5       0.65      0.74      0.69       161
INCREMENTAL CICLOERGOMETRO       0.86      0.88      0.87       161
           SENTADO LEYENDO       0.75      0.02      0.04       161
         SENTADO USANDO PC       0.35      0.17      0.23       161
      SENTADO VIENDO LA TV       0.29      0.61      0.39       161
   SUBIR Y BAJAR ESCALERAS       0.47      0.54      0.50       161
                    TROTAR       0.83      0.82      0.82       138

                  accuracy                           0.46      2392
                 macro avg       0.49      0.47      0.45      2392
              weighted avg       0.49      0.46      0.44      2392


Accuracy capturado en la ejecución 17: 46.2 [%]
F1-score capturado en la ejecución 17: 44.8 [%]

=== EJECUCIÓN 18 ===

--- TRAIN (ejecución 18) ---

--- TEST (ejecución 18) ---
2025-11-08 18:42:29.933268: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2025-11-08 18:42:29.944912: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
E0000 00:00:1762623749.958388 1434082 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762623749.962746 1434082 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762623749.972885 1434082 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762623749.972907 1434082 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762623749.972909 1434082 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762623749.972910 1434082 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-08 18:42:29.976211: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
I0000 00:00:1762623752.349374 1434082 gpu_device.cc:2019] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 13758 MB memory:  -> device: 0, name: NVIDIA GeForce RTX 4060 Ti, pci bus id: 0000:65:00.0, compute capability: 8.9
1 GPU(s) detected and VRAM set to crossover mode..
Epoch 1/25
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
I0000 00:00:1762623753.772026 1434215 service.cc:152] XLA service 0x70497400a570 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
I0000 00:00:1762623753.772082 1434215 service.cc:160]   StreamExecutor device (0): NVIDIA GeForce RTX 4060 Ti, Compute Capability 8.9
2025-11-08 18:42:33.801283: I tensorflow/compiler/mlir/tensorflow/utils/dump_mlir_util.cc:269] disabling MLIR crash reproducer, set env var `MLIR_CRASH_REPRODUCER_DIRECTORY` to enable.
I0000 00:00:1762623753.926324 1434215 cuda_dnn.cc:529] Loaded cuDNN version 91002
I0000 00:00:1762623755.661221 1434215 device_compiler.h:188] Compiled cluster using XLA!  This line is logged at most once for the lifetime of the process.

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[1m107/547[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.1702 - loss: 2.3955
[1m145/547[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.1797 - loss: 2.3454
[1m181/547[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.1870 - loss: 2.3098
[1m219/547[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.1938 - loss: 2.2792
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[1m329/547[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.2096 - loss: 2.2117
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[1m524/547[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m0s[0m 1ms/step - accuracy: 0.2309 - loss: 2.1302
[1m547/547[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 4ms/step - accuracy: 0.2332 - loss: 2.12192025-11-08 18:42:38.639413: I external/local_xla/xla/stream_executor/cuda/subprocess_compilation.cc:346] ptxas warning : Registers are spilled to local memory in function 'gemm_fusion_dot_92', 8 bytes spill stores, 8 bytes spill loads

2025-11-08 18:42:39.812479: I external/local_xla/xla/stream_executor/cuda/subprocess_compilation.cc:346] ptxas warning : Registers are spilled to local memory in function 'gemm_fusion_dot_92', 8 bytes spill stores, 8 bytes spill loads


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Epoch 2/25

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Epoch 3/25

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Epoch 4/25

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Epoch 5/25

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Epoch 6/25

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Epoch 7/25

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Epoch 8/25

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[1m62/75[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m0s[0m 820us/step 
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Saved model to disk.
['CAMINAR CON LA COMPRA' 'CAMINAR CON MÓVIL O LIBRO' 'CAMINAR USUAL SPEED'
 'CAMINAR ZIGZAG' 'DE PIE BARRIENDO' 'DE PIE DOBLANDO TOALLAS'
 'DE PIE MOVIENDO LIBROS' 'DE PIE USANDO PC' 'FASE REPOSO CON K5'
 'INCREMENTAL CICLOERGOMETRO' 'SENTADO LEYENDO' 'SENTADO USANDO PC'
 'SENTADO VIENDO LA TV' 'SUBIR Y BAJAR ESCALERAS' 'TROTAR']
15
Mapeo de etiquetas: {'CAMINAR CON LA COMPRA': 0, 'CAMINAR CON MÓVIL O LIBRO': 1, 'CAMINAR USUAL SPEED': 2, 'CAMINAR ZIGZAG': 3, 'DE PIE BARRIENDO': 4, 'DE PIE DOBLANDO TOALLAS': 5, 'DE PIE MOVIENDO LIBROS': 6, 'DE PIE USANDO PC': 7, 'FASE REPOSO CON K5': 8, 'INCREMENTAL CICLOERGOMETRO': 9, 'SENTADO LEYENDO': 10, 'SENTADO USANDO PC': 11, 'SENTADO VIENDO LA TV': 12, 'SUBIR Y BAJAR ESCALERAS': 13, 'TROTAR': 14}
Loaded model from disk.
(2392, 6, 250)
(17480, 6, 250)

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[1m  1/159[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m2s[0m 16ms/step
[1m 64/159[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m0s[0m 795us/step
[1m131/159[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m0s[0m 775us/step
[1m159/159[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 8ms/step  
[1m159/159[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m1s[0m 8ms/step
Global accuracy score (validation) = 45.49 [%]
Global F1 score (validation) = 42.11 [%]
[[5.]
 [5.]
 [5.]
 ...
 [9.]
 [9.]
 [9.]]
(2392, 1)
[[3.5342202e-03 6.6634063e-03 7.4925194e-03 ... 8.8921189e-04
  3.9110119e-03 9.2774769e-04]
 [3.0322678e-03 5.2326103e-03 3.7470122e-03 ... 8.0718671e-04
  1.7565930e-03 5.0645537e-04]
 [1.9765899e-03 1.7666061e-03 2.1185025e-03 ... 7.3427844e-05
  2.5563536e-04 6.4043008e-05]
 ...
 [4.3666748e-08 1.5444449e-08 4.0257937e-08 ... 7.9952258e-07
  1.1676621e-08 3.4027851e-06]
 [8.7332360e-08 1.6165187e-08 8.2662531e-08 ... 1.0175722e-06
  1.5845723e-08 2.1799301e-06]
 [1.0207798e-03 6.8193936e-04 1.0843055e-03 ... 2.5136328e-01
  4.9668602e-03 1.0486136e-03]]
(2392, 15)
-------------------------------------------------

Global accuracy score (train) = 74.94 [%]
Global accuracy score (test) = 46.32 [%]
Global F1 score (train) = 73.37 [%]
Global F1 score (test) = 44.11 [%]
                            precision    recall  f1-score   support

     CAMINAR CON LA COMPRA       0.28      0.54      0.37       161
 CAMINAR CON MÓVIL O LIBRO       0.27      0.29      0.28       161
       CAMINAR USUAL SPEED       0.18      0.12      0.14       161
            CAMINAR ZIGZAG       0.50      0.47      0.49       161
          DE PIE BARRIENDO       0.52      0.21      0.30       161
   DE PIE DOBLANDO TOALLAS       0.33      0.40      0.36       161
    DE PIE MOVIENDO LIBROS       0.34      0.30      0.32       161
          DE PIE USANDO PC       0.69      0.81      0.74       161
        FASE REPOSO CON K5       0.86      0.89      0.87       161
INCREMENTAL CICLOERGOMETRO       0.80      0.86      0.83       161
           SENTADO LEYENDO       0.27      0.02      0.05       161
         SENTADO USANDO PC       0.32      0.80      0.45       161
      SENTADO VIENDO LA TV       0.33      0.10      0.15       161
   SUBIR Y BAJAR ESCALERAS       0.51      0.41      0.46       161
                    TROTAR       0.84      0.78      0.81       138

                  accuracy                           0.46      2392
                 macro avg       0.47      0.47      0.44      2392
              weighted avg       0.47      0.46      0.44      2392


Accuracy capturado en la ejecución 18: 46.32 [%]
F1-score capturado en la ejecución 18: 44.11 [%]

=== EJECUCIÓN 19 ===

--- TRAIN (ejecución 19) ---

--- TEST (ejecución 19) ---
2025-11-08 18:43:01.773222: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2025-11-08 18:43:01.785099: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
E0000 00:00:1762623781.798676 1435960 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762623781.802720 1435960 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762623781.812895 1435960 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762623781.812917 1435960 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762623781.812919 1435960 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762623781.812920 1435960 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-08 18:43:01.815969: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
I0000 00:00:1762623784.204280 1435960 gpu_device.cc:2019] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 13758 MB memory:  -> device: 0, name: NVIDIA GeForce RTX 4060 Ti, pci bus id: 0000:65:00.0, compute capability: 8.9
1 GPU(s) detected and VRAM set to crossover mode..
Epoch 1/25
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
I0000 00:00:1762623785.613371 1436078 service.cc:152] XLA service 0x72577800a4a0 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
I0000 00:00:1762623785.613412 1436078 service.cc:160]   StreamExecutor device (0): NVIDIA GeForce RTX 4060 Ti, Compute Capability 8.9
2025-11-08 18:43:05.639101: I tensorflow/compiler/mlir/tensorflow/utils/dump_mlir_util.cc:269] disabling MLIR crash reproducer, set env var `MLIR_CRASH_REPRODUCER_DIRECTORY` to enable.
I0000 00:00:1762623785.768039 1436078 cuda_dnn.cc:529] Loaded cuDNN version 91002
I0000 00:00:1762623787.477310 1436078 device_compiler.h:188] Compiled cluster using XLA!  This line is logged at most once for the lifetime of the process.

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[1m187/547[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.1563 - loss: 2.3451
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[1m265/547[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.1709 - loss: 2.2831
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2025-11-08 18:43:11.573137: I external/local_xla/xla/stream_executor/cuda/subprocess_compilation.cc:346] ptxas warning : Registers are spilled to local memory in function 'gemm_fusion_dot_92', 8 bytes spill stores, 8 bytes spill loads

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Epoch 2/25

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Epoch 3/25

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Epoch 4/25

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Epoch 5/25

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Epoch 6/25

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Epoch 7/25

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Saved model to disk.
['CAMINAR CON LA COMPRA' 'CAMINAR CON MÓVIL O LIBRO' 'CAMINAR USUAL SPEED'
 'CAMINAR ZIGZAG' 'DE PIE BARRIENDO' 'DE PIE DOBLANDO TOALLAS'
 'DE PIE MOVIENDO LIBROS' 'DE PIE USANDO PC' 'FASE REPOSO CON K5'
 'INCREMENTAL CICLOERGOMETRO' 'SENTADO LEYENDO' 'SENTADO USANDO PC'
 'SENTADO VIENDO LA TV' 'SUBIR Y BAJAR ESCALERAS' 'TROTAR']
15
Mapeo de etiquetas: {'CAMINAR CON LA COMPRA': 0, 'CAMINAR CON MÓVIL O LIBRO': 1, 'CAMINAR USUAL SPEED': 2, 'CAMINAR ZIGZAG': 3, 'DE PIE BARRIENDO': 4, 'DE PIE DOBLANDO TOALLAS': 5, 'DE PIE MOVIENDO LIBROS': 6, 'DE PIE USANDO PC': 7, 'FASE REPOSO CON K5': 8, 'INCREMENTAL CICLOERGOMETRO': 9, 'SENTADO LEYENDO': 10, 'SENTADO USANDO PC': 11, 'SENTADO VIENDO LA TV': 12, 'SUBIR Y BAJAR ESCALERAS': 13, 'TROTAR': 14}
Loaded model from disk.
(2392, 6, 250)
(17480, 6, 250)

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[1m  1/159[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m2s[0m 16ms/step
[1m 68/159[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m0s[0m 757us/step
[1m132/159[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m0s[0m 775us/step
[1m159/159[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 8ms/step  
[1m159/159[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m1s[0m 8ms/step
Global accuracy score (validation) = 44.6 [%]
Global F1 score (validation) = 42.07 [%]
[[5.]
 [5.]
 [5.]
 ...
 [9.]
 [9.]
 [9.]]
(2392, 1)
[[4.87509044e-03 9.63156763e-03 6.94247009e-03 ... 4.45427053e-04
  6.60763821e-03 4.48363950e-04]
 [2.71234568e-03 2.72795185e-03 1.57661992e-03 ... 3.07296228e-04
  9.56295640e-04 1.89849292e-04]
 [4.31494648e-03 4.47760569e-03 2.76707415e-03 ... 6.16240024e-04
  1.33588223e-03 3.61844810e-04]
 ...
 [4.23228039e-06 2.01893954e-06 1.32907098e-05 ... 6.84444012e-06
  8.32274691e-06 1.35729197e-05]
 [7.63483925e-08 1.13406195e-07 1.49124801e-07 ... 1.03383195e-06
  9.80500545e-07 3.28934657e-05]
 [1.93070085e-03 9.89224995e-04 1.67363323e-03 ... 2.16773123e-01
  6.04655314e-03 1.22643251e-03]]
(2392, 15)
-------------------------------------------------

Global accuracy score (train) = 77.72 [%]
Global accuracy score (test) = 47.12 [%]
Global F1 score (train) = 75.69 [%]
Global F1 score (test) = 44.39 [%]
                            precision    recall  f1-score   support

     CAMINAR CON LA COMPRA       0.22      0.42      0.29       161
 CAMINAR CON MÓVIL O LIBRO       0.28      0.20      0.24       161
       CAMINAR USUAL SPEED       0.24      0.32      0.27       161
            CAMINAR ZIGZAG       0.52      0.49      0.50       161
          DE PIE BARRIENDO       0.65      0.27      0.38       161
   DE PIE DOBLANDO TOALLAS       0.41      0.40      0.41       161
    DE PIE MOVIENDO LIBROS       0.43      0.39      0.41       161
          DE PIE USANDO PC       0.60      0.85      0.70       161
        FASE REPOSO CON K5       0.80      0.89      0.85       161
INCREMENTAL CICLOERGOMETRO       0.90      0.88      0.89       161
           SENTADO LEYENDO       1.00      0.04      0.08       161
         SENTADO USANDO PC       0.33      0.89      0.49       161
      SENTADO VIENDO LA TV       0.00      0.00      0.00       161
   SUBIR Y BAJAR ESCALERAS       0.46      0.27      0.34       161
                    TROTAR       0.85      0.78      0.81       138

                  accuracy                           0.47      2392
                 macro avg       0.51      0.47      0.44      2392
              weighted avg       0.51      0.47      0.44      2392


Accuracy capturado en la ejecución 19: 47.12 [%]
F1-score capturado en la ejecución 19: 44.39 [%]

=== EJECUCIÓN 20 ===

--- TRAIN (ejecución 20) ---

--- TEST (ejecución 20) ---
2025-11-08 18:43:32.501362: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2025-11-08 18:43:32.512716: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
E0000 00:00:1762623812.525734 1437731 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762623812.529829 1437731 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762623812.539900 1437731 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762623812.539918 1437731 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762623812.539920 1437731 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762623812.539922 1437731 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-08 18:43:32.543073: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
I0000 00:00:1762623814.889044 1437731 gpu_device.cc:2019] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 13758 MB memory:  -> device: 0, name: NVIDIA GeForce RTX 4060 Ti, pci bus id: 0000:65:00.0, compute capability: 8.9
1 GPU(s) detected and VRAM set to crossover mode..
Epoch 1/25
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
I0000 00:00:1762623816.307898 1437839 service.cc:152] XLA service 0x705c1001c0f0 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
I0000 00:00:1762623816.307948 1437839 service.cc:160]   StreamExecutor device (0): NVIDIA GeForce RTX 4060 Ti, Compute Capability 8.9
2025-11-08 18:43:36.332935: I tensorflow/compiler/mlir/tensorflow/utils/dump_mlir_util.cc:269] disabling MLIR crash reproducer, set env var `MLIR_CRASH_REPRODUCER_DIRECTORY` to enable.
I0000 00:00:1762623816.457241 1437839 cuda_dnn.cc:529] Loaded cuDNN version 91002
I0000 00:00:1762623818.140071 1437839 device_compiler.h:188] Compiled cluster using XLA!  This line is logged at most once for the lifetime of the process.

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[1m111/547[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.1685 - loss: 2.5004
[1m144/547[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.1786 - loss: 2.4376
[1m182/547[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.1889 - loss: 2.3795
[1m222/547[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.1986 - loss: 2.3300
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2025-11-08 18:43:42.373462: I external/local_xla/xla/stream_executor/cuda/subprocess_compilation.cc:346] ptxas warning : Registers are spilled to local memory in function 'gemm_fusion_dot_92', 8 bytes spill stores, 8 bytes spill loads

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Epoch 2/25

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Epoch 3/25

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[1m 35/547[0m [32m━[0m[37m━━━━━━━━━━━━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.5386 - loss: 1.2565  
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Epoch 4/25

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Epoch 5/25

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Epoch 6/25

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Epoch 7/25

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Saved model to disk.
['CAMINAR CON LA COMPRA' 'CAMINAR CON MÓVIL O LIBRO' 'CAMINAR USUAL SPEED'
 'CAMINAR ZIGZAG' 'DE PIE BARRIENDO' 'DE PIE DOBLANDO TOALLAS'
 'DE PIE MOVIENDO LIBROS' 'DE PIE USANDO PC' 'FASE REPOSO CON K5'
 'INCREMENTAL CICLOERGOMETRO' 'SENTADO LEYENDO' 'SENTADO USANDO PC'
 'SENTADO VIENDO LA TV' 'SUBIR Y BAJAR ESCALERAS' 'TROTAR']
15
Mapeo de etiquetas: {'CAMINAR CON LA COMPRA': 0, 'CAMINAR CON MÓVIL O LIBRO': 1, 'CAMINAR USUAL SPEED': 2, 'CAMINAR ZIGZAG': 3, 'DE PIE BARRIENDO': 4, 'DE PIE DOBLANDO TOALLAS': 5, 'DE PIE MOVIENDO LIBROS': 6, 'DE PIE USANDO PC': 7, 'FASE REPOSO CON K5': 8, 'INCREMENTAL CICLOERGOMETRO': 9, 'SENTADO LEYENDO': 10, 'SENTADO USANDO PC': 11, 'SENTADO VIENDO LA TV': 12, 'SUBIR Y BAJAR ESCALERAS': 13, 'TROTAR': 14}
Loaded model from disk.
(2392, 6, 250)
(17480, 6, 250)

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[1m 62/159[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m0s[0m 825us/step
[1m126/159[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m0s[0m 810us/step
[1m159/159[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 7ms/step  
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Global accuracy score (validation) = 44.7 [%]
Global F1 score (validation) = 43.36 [%]
[[5.]
 [5.]
 [5.]
 ...
 [9.]
 [9.]
 [9.]]
(2392, 1)
[[9.3222167e-03 4.8307567e-03 8.1035662e-03 ... 3.2007170e-04
  4.7465404e-03 4.4704793e-04]
 [4.1502318e-03 2.0745015e-03 2.5593233e-03 ... 1.0221493e-03
  8.8504585e-04 1.0858582e-03]
 [9.6867057e-03 6.1771940e-03 9.0844780e-03 ... 3.7584262e-04
  7.8853359e-03 5.6746858e-04]
 ...
 [1.2488529e-07 1.7645281e-08 1.7272169e-08 ... 3.4493840e-07
  5.2060845e-09 1.6617599e-06]
 [2.2832714e-07 4.5070010e-08 3.3909004e-08 ... 7.1753469e-08
  4.0666774e-07 3.9798392e-06]
 [4.2152827e-04 4.3860381e-04 5.5348565e-04 ... 3.8910785e-01
  2.4380093e-03 2.9946916e-04]]
(2392, 15)
-------------------------------------------------

Global accuracy score (train) = 76.96 [%]
Global accuracy score (test) = 47.95 [%]
Global F1 score (train) = 75.29 [%]
Global F1 score (test) = 47.14 [%]
                            precision    recall  f1-score   support

     CAMINAR CON LA COMPRA       0.27      0.39      0.32       161
 CAMINAR CON MÓVIL O LIBRO       0.37      0.27      0.31       161
       CAMINAR USUAL SPEED       0.22      0.37      0.28       161
            CAMINAR ZIGZAG       0.68      0.47      0.55       161
          DE PIE BARRIENDO       0.67      0.30      0.41       161
   DE PIE DOBLANDO TOALLAS       0.37      0.47      0.41       161
    DE PIE MOVIENDO LIBROS       0.40      0.34      0.36       161
          DE PIE USANDO PC       0.74      0.76      0.75       161
        FASE REPOSO CON K5       0.80      0.88      0.84       161
INCREMENTAL CICLOERGOMETRO       0.86      0.86      0.86       161
           SENTADO LEYENDO       0.00      0.00      0.00       161
         SENTADO USANDO PC       0.35      0.37      0.36       161
      SENTADO VIENDO LA TV       0.32      0.55      0.41       161
   SUBIR Y BAJAR ESCALERAS       0.43      0.40      0.42       161
                    TROTAR       0.77      0.81      0.79       138

                  accuracy                           0.48      2392
                 macro avg       0.48      0.48      0.47      2392
              weighted avg       0.48      0.48      0.47      2392


Accuracy capturado en la ejecución 20: 47.95 [%]
F1-score capturado en la ejecución 20: 47.14 [%]

=== EJECUCIÓN 21 ===

--- TRAIN (ejecución 21) ---

--- TEST (ejecución 21) ---
2025-11-08 18:44:03.141474: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2025-11-08 18:44:03.152882: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
E0000 00:00:1762623843.166292 1439494 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762623843.170536 1439494 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762623843.180640 1439494 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762623843.180659 1439494 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762623843.180669 1439494 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762623843.180671 1439494 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-08 18:44:03.183907: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
I0000 00:00:1762623845.552122 1439494 gpu_device.cc:2019] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 13758 MB memory:  -> device: 0, name: NVIDIA GeForce RTX 4060 Ti, pci bus id: 0000:65:00.0, compute capability: 8.9
1 GPU(s) detected and VRAM set to crossover mode..
Epoch 1/25
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
I0000 00:00:1762623847.010406 1439607 service.cc:152] XLA service 0x70ce8000a580 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
I0000 00:00:1762623847.010460 1439607 service.cc:160]   StreamExecutor device (0): NVIDIA GeForce RTX 4060 Ti, Compute Capability 8.9
2025-11-08 18:44:07.033933: I tensorflow/compiler/mlir/tensorflow/utils/dump_mlir_util.cc:269] disabling MLIR crash reproducer, set env var `MLIR_CRASH_REPRODUCER_DIRECTORY` to enable.
I0000 00:00:1762623847.163135 1439607 cuda_dnn.cc:529] Loaded cuDNN version 91002
I0000 00:00:1762623848.859041 1439607 device_compiler.h:188] Compiled cluster using XLA!  This line is logged at most once for the lifetime of the process.

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[1m105/547[0m [32m━━━[0m[37m━━━━━━━━━━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.1580 - loss: 2.4535
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[1m181/547[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.1718 - loss: 2.3478
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2025-11-08 18:44:12.962222: I external/local_xla/xla/stream_executor/cuda/subprocess_compilation.cc:346] ptxas warning : Registers are spilled to local memory in function 'gemm_fusion_dot_92', 8 bytes spill stores, 8 bytes spill loads

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Epoch 2/25

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Epoch 3/25

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Epoch 4/25

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Epoch 5/25

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Epoch 6/25

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Epoch 7/25

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[1m528/547[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m0s[0m 1ms/step - accuracy: 0.7204 - loss: 0.7464
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Epoch 8/25

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[1m 79/547[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.7560 - loss: 0.6532
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[1m229/547[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.7465 - loss: 0.6652
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[1m305/547[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.7452 - loss: 0.6683
[1m344/547[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.7446 - loss: 0.6697
[1m379/547[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.7442 - loss: 0.6707
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[1m454/547[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.7438 - loss: 0.6722
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[1m 1/75[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m33s[0m 447ms/step
[1m54/75[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m0s[0m 950us/step 
[1m75/75[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 16ms/step 
[1m75/75[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m2s[0m 16ms/step
Saved model to disk.
['CAMINAR CON LA COMPRA' 'CAMINAR CON MÓVIL O LIBRO' 'CAMINAR USUAL SPEED'
 'CAMINAR ZIGZAG' 'DE PIE BARRIENDO' 'DE PIE DOBLANDO TOALLAS'
 'DE PIE MOVIENDO LIBROS' 'DE PIE USANDO PC' 'FASE REPOSO CON K5'
 'INCREMENTAL CICLOERGOMETRO' 'SENTADO LEYENDO' 'SENTADO USANDO PC'
 'SENTADO VIENDO LA TV' 'SUBIR Y BAJAR ESCALERAS' 'TROTAR']
15
Mapeo de etiquetas: {'CAMINAR CON LA COMPRA': 0, 'CAMINAR CON MÓVIL O LIBRO': 1, 'CAMINAR USUAL SPEED': 2, 'CAMINAR ZIGZAG': 3, 'DE PIE BARRIENDO': 4, 'DE PIE DOBLANDO TOALLAS': 5, 'DE PIE MOVIENDO LIBROS': 6, 'DE PIE USANDO PC': 7, 'FASE REPOSO CON K5': 8, 'INCREMENTAL CICLOERGOMETRO': 9, 'SENTADO LEYENDO': 10, 'SENTADO USANDO PC': 11, 'SENTADO VIENDO LA TV': 12, 'SUBIR Y BAJAR ESCALERAS': 13, 'TROTAR': 14}
Loaded model from disk.
(2392, 6, 250)
(17480, 6, 250)

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[1m191/547[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m0s[0m 793us/step
[1m257/547[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m0s[0m 784us/step
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[1m387/547[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m0s[0m 781us/step
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[1m 1/75[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m1s[0m 16ms/step
[1m62/75[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m0s[0m 822us/step
[1m75/75[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 15ms/step 
[1m75/75[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m1s[0m 15ms/step

[1m  1/159[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m2s[0m 15ms/step
[1m 59/159[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m0s[0m 865us/step
[1m124/159[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m0s[0m 819us/step
[1m159/159[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 8ms/step  
[1m159/159[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m1s[0m 8ms/step
Global accuracy score (validation) = 46.8 [%]
Global F1 score (validation) = 44.53 [%]
[[5.]
 [5.]
 [5.]
 ...
 [9.]
 [9.]
 [9.]]
(2392, 1)
[[2.4665627e-03 4.9597095e-03 2.4419159e-03 ... 1.7410400e-03
  7.7677000e-04 3.6945075e-04]
 [1.3244689e-03 2.2772693e-03 9.7995426e-04 ... 7.3994562e-04
  2.4116828e-04 1.9717720e-04]
 [1.3669485e-03 2.8775462e-03 1.0541981e-03 ... 1.0604068e-03
  3.3787105e-04 1.9106035e-04]
 ...
 [9.5771831e-08 2.5842380e-06 3.7477275e-07 ... 2.4029859e-08
  1.7779944e-07 1.1933578e-05]
 [2.0494559e-07 3.6600700e-06 5.5337529e-07 ... 1.4873625e-07
  1.3889940e-06 3.0715862e-06]
 [3.1676769e-04 2.4717441e-04 5.2560767e-04 ... 2.1010457e-01
  1.8752043e-03 7.5569644e-04]]
(2392, 15)
-------------------------------------------------

Global accuracy score (train) = 76.34 [%]
Global accuracy score (test) = 45.19 [%]
Global F1 score (train) = 73.66 [%]
Global F1 score (test) = 43.13 [%]
                            precision    recall  f1-score   support

     CAMINAR CON LA COMPRA       0.20      0.14      0.16       161
 CAMINAR CON MÓVIL O LIBRO       0.33      0.37      0.35       161
       CAMINAR USUAL SPEED       0.15      0.17      0.16       161
            CAMINAR ZIGZAG       0.46      0.48      0.47       161
          DE PIE BARRIENDO       0.48      0.37      0.42       161
   DE PIE DOBLANDO TOALLAS       0.33      0.53      0.40       161
    DE PIE MOVIENDO LIBROS       0.39      0.34      0.36       161
          DE PIE USANDO PC       0.81      0.73      0.77       161
        FASE REPOSO CON K5       0.84      0.88      0.86       161
INCREMENTAL CICLOERGOMETRO       0.91      0.84      0.87       161
           SENTADO LEYENDO       0.00      0.00      0.00       161
         SENTADO USANDO PC       0.08      0.02      0.04       161
      SENTADO VIENDO LA TV       0.30      0.75      0.43       161
   SUBIR Y BAJAR ESCALERAS       0.38      0.40      0.39       161
                    TROTAR       0.76      0.81      0.79       138

                  accuracy                           0.45      2392
                 macro avg       0.43      0.46      0.43      2392
              weighted avg       0.42      0.45      0.43      2392


Accuracy capturado en la ejecución 21: 45.19 [%]
F1-score capturado en la ejecución 21: 43.13 [%]

=== EJECUCIÓN 22 ===

--- TRAIN (ejecución 22) ---

--- TEST (ejecución 22) ---
2025-11-08 18:44:34.624415: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2025-11-08 18:44:34.636070: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
E0000 00:00:1762623874.649426 1441374 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762623874.653633 1441374 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762623874.663565 1441374 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762623874.663583 1441374 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762623874.663585 1441374 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762623874.663587 1441374 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-08 18:44:34.666723: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
I0000 00:00:1762623877.047761 1441374 gpu_device.cc:2019] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 13760 MB memory:  -> device: 0, name: NVIDIA GeForce RTX 4060 Ti, pci bus id: 0000:65:00.0, compute capability: 8.9
1 GPU(s) detected and VRAM set to crossover mode..
Epoch 1/25
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
I0000 00:00:1762623878.455498 1441502 service.cc:152] XLA service 0x78165400a1c0 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
I0000 00:00:1762623878.455533 1441502 service.cc:160]   StreamExecutor device (0): NVIDIA GeForce RTX 4060 Ti, Compute Capability 8.9
2025-11-08 18:44:38.481397: I tensorflow/compiler/mlir/tensorflow/utils/dump_mlir_util.cc:269] disabling MLIR crash reproducer, set env var `MLIR_CRASH_REPRODUCER_DIRECTORY` to enable.
I0000 00:00:1762623878.605319 1441502 cuda_dnn.cc:529] Loaded cuDNN version 91002
I0000 00:00:1762623880.318374 1441502 device_compiler.h:188] Compiled cluster using XLA!  This line is logged at most once for the lifetime of the process.

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[1m547/547[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 4ms/step - accuracy: 0.2374 - loss: 2.10092025-11-08 18:44:43.197903: I external/local_xla/xla/stream_executor/cuda/subprocess_compilation.cc:346] ptxas warning : Registers are spilled to local memory in function 'gemm_fusion_dot_92', 8 bytes spill stores, 8 bytes spill loads

2025-11-08 18:44:44.308526: I external/local_xla/xla/stream_executor/cuda/subprocess_compilation.cc:346] ptxas warning : Registers are spilled to local memory in function 'gemm_fusion_dot_92', 8 bytes spill stores, 8 bytes spill loads


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Epoch 2/25

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Epoch 3/25

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Epoch 4/25

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Epoch 5/25

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Epoch 6/25

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Epoch 7/25

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[1m 1/75[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m23s[0m 318ms/step
[1m62/75[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m0s[0m 830us/step 
[1m75/75[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 16ms/step 
[1m75/75[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m2s[0m 16ms/step
Saved model to disk.
['CAMINAR CON LA COMPRA' 'CAMINAR CON MÓVIL O LIBRO' 'CAMINAR USUAL SPEED'
 'CAMINAR ZIGZAG' 'DE PIE BARRIENDO' 'DE PIE DOBLANDO TOALLAS'
 'DE PIE MOVIENDO LIBROS' 'DE PIE USANDO PC' 'FASE REPOSO CON K5'
 'INCREMENTAL CICLOERGOMETRO' 'SENTADO LEYENDO' 'SENTADO USANDO PC'
 'SENTADO VIENDO LA TV' 'SUBIR Y BAJAR ESCALERAS' 'TROTAR']
15
Mapeo de etiquetas: {'CAMINAR CON LA COMPRA': 0, 'CAMINAR CON MÓVIL O LIBRO': 1, 'CAMINAR USUAL SPEED': 2, 'CAMINAR ZIGZAG': 3, 'DE PIE BARRIENDO': 4, 'DE PIE DOBLANDO TOALLAS': 5, 'DE PIE MOVIENDO LIBROS': 6, 'DE PIE USANDO PC': 7, 'FASE REPOSO CON K5': 8, 'INCREMENTAL CICLOERGOMETRO': 9, 'SENTADO LEYENDO': 10, 'SENTADO USANDO PC': 11, 'SENTADO VIENDO LA TV': 12, 'SUBIR Y BAJAR ESCALERAS': 13, 'TROTAR': 14}
Loaded model from disk.
(2392, 6, 250)
(17480, 6, 250)

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[1m62/75[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m0s[0m 831us/step
[1m75/75[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 15ms/step 
[1m75/75[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m1s[0m 15ms/step

[1m  1/159[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m2s[0m 16ms/step
[1m 64/159[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m0s[0m 803us/step
[1m125/159[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m0s[0m 812us/step
[1m159/159[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 7ms/step  
[1m159/159[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m1s[0m 8ms/step
Global accuracy score (validation) = 44.35 [%]
Global F1 score (validation) = 43.18 [%]
[[5.]
 [5.]
 [5.]
 ...
 [9.]
 [9.]
 [9.]]
(2392, 1)
[[1.1437531e-03 2.4199309e-03 1.2496250e-03 ... 6.6182658e-04
  1.6887959e-03 1.8497698e-04]
 [1.8252271e-04 2.0014985e-04 1.3761070e-04 ... 5.4280172e-06
  4.4244993e-05 1.4141994e-05]
 [1.3762855e-04 1.4446145e-04 1.0869927e-04 ... 8.9963640e-07
  2.6662250e-05 1.2993696e-05]
 ...
 [5.2814837e-08 2.5025136e-07 9.0614115e-08 ... 4.4078064e-08
  6.9813757e-07 5.0089284e-06]
 [1.1359687e-07 7.9292323e-07 1.7474198e-07 ... 1.9086445e-07
  2.8887666e-07 2.1928583e-06]
 [5.2110065e-04 8.0957758e-04 5.7042873e-04 ... 3.2997456e-01
  2.7029864e-03 6.6099816e-04]]
(2392, 15)
-------------------------------------------------

Global accuracy score (train) = 75.91 [%]
Global accuracy score (test) = 47.16 [%]
Global F1 score (train) = 75.48 [%]
Global F1 score (test) = 47.36 [%]
                            precision    recall  f1-score   support

     CAMINAR CON LA COMPRA       0.26      0.29      0.27       161
 CAMINAR CON MÓVIL O LIBRO       0.32      0.35      0.34       161
       CAMINAR USUAL SPEED       0.28      0.43      0.34       161
            CAMINAR ZIGZAG       0.64      0.47      0.54       161
          DE PIE BARRIENDO       0.42      0.21      0.28       161
   DE PIE DOBLANDO TOALLAS       0.30      0.40      0.35       161
    DE PIE MOVIENDO LIBROS       0.38      0.39      0.38       161
          DE PIE USANDO PC       0.72      0.81      0.76       161
        FASE REPOSO CON K5       0.67      0.89      0.77       161
INCREMENTAL CICLOERGOMETRO       0.90      0.86      0.88       161
           SENTADO LEYENDO       0.71      0.25      0.37       161
         SENTADO USANDO PC       0.33      0.29      0.31       161
      SENTADO VIENDO LA TV       0.28      0.41      0.34       161
   SUBIR Y BAJAR ESCALERAS       0.45      0.35      0.39       161
                    TROTAR       0.88      0.72      0.79       138

                  accuracy                           0.47      2392
                 macro avg       0.50      0.47      0.47      2392
              weighted avg       0.50      0.47      0.47      2392


Accuracy capturado en la ejecución 22: 47.16 [%]
F1-score capturado en la ejecución 22: 47.36 [%]

=== EJECUCIÓN 23 ===

--- TRAIN (ejecución 23) ---

--- TEST (ejecución 23) ---
2025-11-08 18:45:04.787605: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2025-11-08 18:45:04.799069: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
E0000 00:00:1762623904.812283 1443142 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762623904.816449 1443142 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762623904.826251 1443142 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762623904.826270 1443142 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762623904.826272 1443142 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762623904.826280 1443142 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-08 18:45:04.829470: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
I0000 00:00:1762623907.177809 1443142 gpu_device.cc:2019] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 13760 MB memory:  -> device: 0, name: NVIDIA GeForce RTX 4060 Ti, pci bus id: 0000:65:00.0, compute capability: 8.9
1 GPU(s) detected and VRAM set to crossover mode..
Epoch 1/25
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
I0000 00:00:1762623908.599863 1443274 service.cc:152] XLA service 0x7cc0ac00b4b0 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
I0000 00:00:1762623908.599914 1443274 service.cc:160]   StreamExecutor device (0): NVIDIA GeForce RTX 4060 Ti, Compute Capability 8.9
2025-11-08 18:45:08.629685: I tensorflow/compiler/mlir/tensorflow/utils/dump_mlir_util.cc:269] disabling MLIR crash reproducer, set env var `MLIR_CRASH_REPRODUCER_DIRECTORY` to enable.
I0000 00:00:1762623908.759017 1443274 cuda_dnn.cc:529] Loaded cuDNN version 91002
I0000 00:00:1762623910.473757 1443274 device_compiler.h:188] Compiled cluster using XLA!  This line is logged at most once for the lifetime of the process.

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2025-11-08 18:45:14.650895: I external/local_xla/xla/stream_executor/cuda/subprocess_compilation.cc:346] ptxas warning : Registers are spilled to local memory in function 'gemm_fusion_dot_92', 8 bytes spill stores, 8 bytes spill loads


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Epoch 2/25

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Epoch 3/25

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Epoch 4/25

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Epoch 5/25

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Epoch 6/25

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Epoch 7/25

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Epoch 8/25

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[1m 1/75[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m33s[0m 450ms/step
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Saved model to disk.
['CAMINAR CON LA COMPRA' 'CAMINAR CON MÓVIL O LIBRO' 'CAMINAR USUAL SPEED'
 'CAMINAR ZIGZAG' 'DE PIE BARRIENDO' 'DE PIE DOBLANDO TOALLAS'
 'DE PIE MOVIENDO LIBROS' 'DE PIE USANDO PC' 'FASE REPOSO CON K5'
 'INCREMENTAL CICLOERGOMETRO' 'SENTADO LEYENDO' 'SENTADO USANDO PC'
 'SENTADO VIENDO LA TV' 'SUBIR Y BAJAR ESCALERAS' 'TROTAR']
15
Mapeo de etiquetas: {'CAMINAR CON LA COMPRA': 0, 'CAMINAR CON MÓVIL O LIBRO': 1, 'CAMINAR USUAL SPEED': 2, 'CAMINAR ZIGZAG': 3, 'DE PIE BARRIENDO': 4, 'DE PIE DOBLANDO TOALLAS': 5, 'DE PIE MOVIENDO LIBROS': 6, 'DE PIE USANDO PC': 7, 'FASE REPOSO CON K5': 8, 'INCREMENTAL CICLOERGOMETRO': 9, 'SENTADO LEYENDO': 10, 'SENTADO USANDO PC': 11, 'SENTADO VIENDO LA TV': 12, 'SUBIR Y BAJAR ESCALERAS': 13, 'TROTAR': 14}
Loaded model from disk.
(2392, 6, 250)
(17480, 6, 250)

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[1m 1/75[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m1s[0m 17ms/step
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[1m  1/159[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m2s[0m 16ms/step
[1m 64/159[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m0s[0m 804us/step
[1m126/159[0m [32m━━━━━━━━━━━━━━━[0m[37m━━━━━[0m [1m0s[0m 808us/step
[1m159/159[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 7ms/step  
[1m159/159[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m1s[0m 7ms/step
Global accuracy score (validation) = 43.66 [%]
Global F1 score (validation) = 42.38 [%]
[[5.]
 [5.]
 [5.]
 ...
 [9.]
 [9.]
 [9.]]
(2392, 1)
[[5.8164913e-03 7.4474742e-03 5.5931988e-03 ... 2.2652498e-03
  1.5528642e-03 5.4013904e-04]
 [1.5639984e-03 1.9912235e-03 1.0198705e-03 ... 1.4543781e-03
  6.6084211e-04 3.7879293e-04]
 [2.0317710e-03 2.7476258e-03 1.0306959e-03 ... 1.6590917e-03
  1.2962840e-03 5.2208494e-04]
 ...
 [1.4048410e-05 2.4677817e-07 1.0630496e-08 ... 4.2855206e-08
  7.9582372e-07 1.3561854e-04]
 [1.8591418e-08 4.2225468e-09 1.8717221e-09 ... 2.3433963e-10
  4.4523597e-07 1.3643880e-06]
 [5.6121207e-04 5.7091168e-04 6.4529787e-04 ... 3.3507529e-01
  5.7833618e-03 6.8291591e-04]]
(2392, 15)
-------------------------------------------------

Global accuracy score (train) = 75.29 [%]
Global accuracy score (test) = 43.65 [%]
Global F1 score (train) = 73.8 [%]
Global F1 score (test) = 42.09 [%]
                            precision    recall  f1-score   support

     CAMINAR CON LA COMPRA       0.27      0.29      0.28       161
 CAMINAR CON MÓVIL O LIBRO       0.26      0.32      0.29       161
       CAMINAR USUAL SPEED       0.27      0.29      0.28       161
            CAMINAR ZIGZAG       0.56      0.47      0.51       161
          DE PIE BARRIENDO       0.41      0.17      0.24       161
   DE PIE DOBLANDO TOALLAS       0.35      0.60      0.44       161
    DE PIE MOVIENDO LIBROS       0.37      0.40      0.38       161
          DE PIE USANDO PC       0.81      0.81      0.81       161
        FASE REPOSO CON K5       0.62      0.71      0.66       161
INCREMENTAL CICLOERGOMETRO       0.57      0.88      0.69       161
           SENTADO LEYENDO       0.21      0.22      0.21       161
         SENTADO USANDO PC       0.57      0.02      0.05       161
      SENTADO VIENDO LA TV       0.34      0.31      0.32       161
   SUBIR Y BAJAR ESCALERAS       0.35      0.34      0.34       161
                    TROTAR       0.83      0.76      0.80       138

                  accuracy                           0.44      2392
                 macro avg       0.45      0.44      0.42      2392
              weighted avg       0.45      0.44      0.42      2392


Accuracy capturado en la ejecución 23: 43.65 [%]
F1-score capturado en la ejecución 23: 42.09 [%]

=== EJECUCIÓN 24 ===

--- TRAIN (ejecución 24) ---

--- TEST (ejecución 24) ---
2025-11-08 18:45:36.588953: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2025-11-08 18:45:36.600565: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
E0000 00:00:1762623936.613785 1445001 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762623936.617756 1445001 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762623936.627773 1445001 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762623936.627793 1445001 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762623936.627795 1445001 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762623936.627797 1445001 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-08 18:45:36.630984: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
I0000 00:00:1762623939.014716 1445001 gpu_device.cc:2019] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 13760 MB memory:  -> device: 0, name: NVIDIA GeForce RTX 4060 Ti, pci bus id: 0000:65:00.0, compute capability: 8.9
1 GPU(s) detected and VRAM set to crossover mode..
Epoch 1/25
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
I0000 00:00:1762623940.418748 1445129 service.cc:152] XLA service 0x78a21400b280 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
I0000 00:00:1762623940.418777 1445129 service.cc:160]   StreamExecutor device (0): NVIDIA GeForce RTX 4060 Ti, Compute Capability 8.9
2025-11-08 18:45:40.442585: I tensorflow/compiler/mlir/tensorflow/utils/dump_mlir_util.cc:269] disabling MLIR crash reproducer, set env var `MLIR_CRASH_REPRODUCER_DIRECTORY` to enable.
I0000 00:00:1762623940.573255 1445129 cuda_dnn.cc:529] Loaded cuDNN version 91002
I0000 00:00:1762623942.292505 1445129 device_compiler.h:188] Compiled cluster using XLA!  This line is logged at most once for the lifetime of the process.

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[1m 75/547[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.1580 - loss: 2.5117
[1m114/547[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.1649 - loss: 2.4271
[1m154/547[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.1718 - loss: 2.3683
[1m193/547[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.1779 - loss: 2.3264
[1m234/547[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.1839 - loss: 2.2918
[1m270/547[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.1889 - loss: 2.2671
[1m311/547[0m [32m━━━━━━━━━━━[0m[37m━━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.1941 - loss: 2.2428
[1m352/547[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.1989 - loss: 2.2213
[1m393/547[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.2035 - loss: 2.2019
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[1m507/547[0m [32m━━━━━━━━━━━━━━━━━━[0m[37m━━[0m [1m0s[0m 1ms/step - accuracy: 0.2150 - loss: 2.1560
[1m547/547[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 4ms/step - accuracy: 0.2188 - loss: 2.14192025-11-08 18:45:45.233359: I external/local_xla/xla/stream_executor/cuda/subprocess_compilation.cc:346] ptxas warning : Registers are spilled to local memory in function 'gemm_fusion_dot_92', 8 bytes spill stores, 8 bytes spill loads

2025-11-08 18:45:46.444869: I external/local_xla/xla/stream_executor/cuda/subprocess_compilation.cc:346] ptxas warning : Registers are spilled to local memory in function 'gemm_fusion_dot_92', 8 bytes spill stores, 8 bytes spill loads


[1m547/547[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m7s[0m 9ms/step - accuracy: 0.2189 - loss: 2.1415 - val_accuracy: 0.3427 - val_loss: 1.7895
Epoch 2/25

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Epoch 3/25

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Epoch 4/25

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Epoch 5/25

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Epoch 6/25

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Epoch 7/25

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Epoch 8/25

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[1m54/75[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m0s[0m 953us/step 
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Saved model to disk.
['CAMINAR CON LA COMPRA' 'CAMINAR CON MÓVIL O LIBRO' 'CAMINAR USUAL SPEED'
 'CAMINAR ZIGZAG' 'DE PIE BARRIENDO' 'DE PIE DOBLANDO TOALLAS'
 'DE PIE MOVIENDO LIBROS' 'DE PIE USANDO PC' 'FASE REPOSO CON K5'
 'INCREMENTAL CICLOERGOMETRO' 'SENTADO LEYENDO' 'SENTADO USANDO PC'
 'SENTADO VIENDO LA TV' 'SUBIR Y BAJAR ESCALERAS' 'TROTAR']
15
Mapeo de etiquetas: {'CAMINAR CON LA COMPRA': 0, 'CAMINAR CON MÓVIL O LIBRO': 1, 'CAMINAR USUAL SPEED': 2, 'CAMINAR ZIGZAG': 3, 'DE PIE BARRIENDO': 4, 'DE PIE DOBLANDO TOALLAS': 5, 'DE PIE MOVIENDO LIBROS': 6, 'DE PIE USANDO PC': 7, 'FASE REPOSO CON K5': 8, 'INCREMENTAL CICLOERGOMETRO': 9, 'SENTADO LEYENDO': 10, 'SENTADO USANDO PC': 11, 'SENTADO VIENDO LA TV': 12, 'SUBIR Y BAJAR ESCALERAS': 13, 'TROTAR': 14}
Loaded model from disk.
(2392, 6, 250)
(17480, 6, 250)

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[1m  1/159[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m2s[0m 17ms/step
[1m 64/159[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m0s[0m 802us/step
[1m128/159[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m0s[0m 801us/step
[1m159/159[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 8ms/step  
[1m159/159[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m1s[0m 8ms/step
Global accuracy score (validation) = 45.53 [%]
Global F1 score (validation) = 42.5 [%]
[[5.]
 [5.]
 [5.]
 ...
 [9.]
 [9.]
 [9.]]
(2392, 1)
[[4.43765777e-04 2.37711894e-04 4.00060526e-04 ... 1.10981546e-05
  2.15456181e-04 5.67571005e-05]
 [1.31359720e-03 1.04823918e-03 8.17289925e-04 ... 8.72713790e-05
  2.86898081e-04 7.11830507e-05]
 [6.13029639e-04 4.03655897e-04 4.41604294e-04 ... 1.17718184e-04
  2.22946328e-04 4.26964689e-05]
 ...
 [6.56570535e-07 4.27305395e-07 1.45114132e-06 ... 9.08082438e-06
  3.12371935e-06 1.48371992e-05]
 [2.05093193e-06 5.42832652e-07 5.20492267e-06 ... 1.53094516e-06
  3.50428192e-04 1.57226310e-07]
 [1.12002657e-03 8.51141755e-04 5.82809153e-04 ... 2.54180551e-01
  2.46400316e-03 3.86718428e-04]]
(2392, 15)
-------------------------------------------------

Global accuracy score (train) = 77.98 [%]
Global accuracy score (test) = 47.78 [%]
Global F1 score (train) = 75.86 [%]
Global F1 score (test) = 46.26 [%]
                            precision    recall  f1-score   support

     CAMINAR CON LA COMPRA       0.21      0.27      0.23       161
 CAMINAR CON MÓVIL O LIBRO       0.25      0.19      0.22       161
       CAMINAR USUAL SPEED       0.22      0.25      0.23       161
            CAMINAR ZIGZAG       0.45      0.52      0.48       161
          DE PIE BARRIENDO       0.60      0.46      0.52       161
   DE PIE DOBLANDO TOALLAS       0.32      0.30      0.31       161
    DE PIE MOVIENDO LIBROS       0.34      0.41      0.37       161
          DE PIE USANDO PC       0.85      0.81      0.83       161
        FASE REPOSO CON K5       0.85      0.89      0.87       161
INCREMENTAL CICLOERGOMETRO       0.91      0.86      0.88       161
           SENTADO LEYENDO       0.52      0.17      0.25       161
         SENTADO USANDO PC       0.36      0.94      0.52       161
      SENTADO VIENDO LA TV       0.00      0.00      0.00       161
   SUBIR Y BAJAR ESCALERAS       0.43      0.45      0.44       161
                    TROTAR       0.90      0.70      0.78       138

                  accuracy                           0.48      2392
                 macro avg       0.48      0.48      0.46      2392
              weighted avg       0.48      0.48      0.46      2392


Accuracy capturado en la ejecución 24: 47.78 [%]
F1-score capturado en la ejecución 24: 46.26 [%]

=== EJECUCIÓN 25 ===

--- TRAIN (ejecución 25) ---

--- TEST (ejecución 25) ---
2025-11-08 18:46:08.184584: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2025-11-08 18:46:08.196713: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
E0000 00:00:1762623968.210230 1446865 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762623968.214404 1446865 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762623968.224553 1446865 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762623968.224578 1446865 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762623968.224587 1446865 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762623968.224589 1446865 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-08 18:46:08.227821: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
I0000 00:00:1762623970.614658 1446865 gpu_device.cc:2019] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 13760 MB memory:  -> device: 0, name: NVIDIA GeForce RTX 4060 Ti, pci bus id: 0000:65:00.0, compute capability: 8.9
1 GPU(s) detected and VRAM set to crossover mode..
Epoch 1/25
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
I0000 00:00:1762623972.053794 1446994 service.cc:152] XLA service 0x7f8a6800b130 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
I0000 00:00:1762623972.053826 1446994 service.cc:160]   StreamExecutor device (0): NVIDIA GeForce RTX 4060 Ti, Compute Capability 8.9
2025-11-08 18:46:12.078308: I tensorflow/compiler/mlir/tensorflow/utils/dump_mlir_util.cc:269] disabling MLIR crash reproducer, set env var `MLIR_CRASH_REPRODUCER_DIRECTORY` to enable.
I0000 00:00:1762623972.220282 1446994 cuda_dnn.cc:529] Loaded cuDNN version 91002
I0000 00:00:1762623973.966863 1446994 device_compiler.h:188] Compiled cluster using XLA!  This line is logged at most once for the lifetime of the process.

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[1m140/547[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.1735 - loss: 2.3966
[1m178/547[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.1777 - loss: 2.3543
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[1m259/547[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.1870 - loss: 2.2899
[1m300/547[0m [32m━━━━━━━━━━[0m[37m━━━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.1920 - loss: 2.2638
[1m338/547[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.1969 - loss: 2.2415
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2025-11-08 18:46:18.087729: I external/local_xla/xla/stream_executor/cuda/subprocess_compilation.cc:346] ptxas warning : Registers are spilled to local memory in function 'gemm_fusion_dot_92', 8 bytes spill stores, 8 bytes spill loads

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Epoch 2/25

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Epoch 3/25

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Epoch 4/25

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Epoch 5/25

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Epoch 6/25

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Epoch 7/25

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Epoch 8/25

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[1m65/75[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m0s[0m 791us/step 
[1m75/75[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 15ms/step 
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Saved model to disk.
['CAMINAR CON LA COMPRA' 'CAMINAR CON MÓVIL O LIBRO' 'CAMINAR USUAL SPEED'
 'CAMINAR ZIGZAG' 'DE PIE BARRIENDO' 'DE PIE DOBLANDO TOALLAS'
 'DE PIE MOVIENDO LIBROS' 'DE PIE USANDO PC' 'FASE REPOSO CON K5'
 'INCREMENTAL CICLOERGOMETRO' 'SENTADO LEYENDO' 'SENTADO USANDO PC'
 'SENTADO VIENDO LA TV' 'SUBIR Y BAJAR ESCALERAS' 'TROTAR']
15
Mapeo de etiquetas: {'CAMINAR CON LA COMPRA': 0, 'CAMINAR CON MÓVIL O LIBRO': 1, 'CAMINAR USUAL SPEED': 2, 'CAMINAR ZIGZAG': 3, 'DE PIE BARRIENDO': 4, 'DE PIE DOBLANDO TOALLAS': 5, 'DE PIE MOVIENDO LIBROS': 6, 'DE PIE USANDO PC': 7, 'FASE REPOSO CON K5': 8, 'INCREMENTAL CICLOERGOMETRO': 9, 'SENTADO LEYENDO': 10, 'SENTADO USANDO PC': 11, 'SENTADO VIENDO LA TV': 12, 'SUBIR Y BAJAR ESCALERAS': 13, 'TROTAR': 14}
Loaded model from disk.
(2392, 6, 250)
(17480, 6, 250)

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[1m63/75[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m0s[0m 811us/step
[1m75/75[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 15ms/step 
[1m75/75[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m1s[0m 15ms/step

[1m  1/159[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m2s[0m 17ms/step
[1m 64/159[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m0s[0m 795us/step
[1m134/159[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m0s[0m 757us/step
[1m159/159[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 7ms/step  
[1m159/159[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m1s[0m 7ms/step
Global accuracy score (validation) = 45.87 [%]
Global F1 score (validation) = 44.77 [%]
[[5.]
 [5.]
 [5.]
 ...
 [9.]
 [9.]
 [9.]]
(2392, 1)
[[5.0167466e-04 2.1603814e-04 5.4352032e-04 ... 2.3390288e-05
  7.1038754e-05 4.2244741e-05]
 [1.3070358e-03 1.1142362e-03 1.5749037e-03 ... 3.2889674e-04
  7.0858636e-04 4.2377811e-04]
 [2.0554017e-04 6.2054874e-05 1.7119218e-04 ... 7.4312293e-06
  2.2065788e-05 1.7600769e-05]
 ...
 [2.6997664e-06 2.6404084e-07 2.4861595e-06 ... 1.3381143e-05
  1.3046447e-07 6.9600406e-05]
 [7.6906311e-08 2.2573150e-09 1.9233426e-07 ... 2.8183937e-08
  1.5042303e-08 1.0922635e-06]
 [2.9368480e-04 6.5296760e-04 4.0108492e-04 ... 4.9611405e-02
  5.0254646e-03 4.8710743e-04]]
(2392, 15)
-------------------------------------------------

Global accuracy score (train) = 77.44 [%]
Global accuracy score (test) = 48.08 [%]
Global F1 score (train) = 77.03 [%]
Global F1 score (test) = 46.72 [%]
                            precision    recall  f1-score   support

     CAMINAR CON LA COMPRA       0.25      0.36      0.29       161
 CAMINAR CON MÓVIL O LIBRO       0.27      0.24      0.25       161
       CAMINAR USUAL SPEED       0.23      0.24      0.23       161
            CAMINAR ZIGZAG       0.42      0.44      0.43       161
          DE PIE BARRIENDO       0.68      0.20      0.31       161
   DE PIE DOBLANDO TOALLAS       0.32      0.40      0.36       161
    DE PIE MOVIENDO LIBROS       0.37      0.54      0.44       161
          DE PIE USANDO PC       0.87      0.71      0.78       161
        FASE REPOSO CON K5       0.83      0.75      0.79       161
INCREMENTAL CICLOERGOMETRO       0.80      0.87      0.84       161
           SENTADO LEYENDO       0.45      0.50      0.47       161
         SENTADO USANDO PC       0.41      0.79      0.54       161
      SENTADO VIENDO LA TV       0.00      0.00      0.00       161
   SUBIR Y BAJAR ESCALERAS       0.59      0.39      0.47       161
                    TROTAR       0.78      0.85      0.81       138

                  accuracy                           0.48      2392
                 macro avg       0.48      0.48      0.47      2392
              weighted avg       0.48      0.48      0.46      2392


Accuracy capturado en la ejecución 25: 48.08 [%]
F1-score capturado en la ejecución 25: 46.72 [%]

=== EJECUCIÓN 26 ===

--- TRAIN (ejecución 26) ---

--- TEST (ejecución 26) ---
2025-11-08 18:46:39.707605: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2025-11-08 18:46:39.718783: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
E0000 00:00:1762623999.731774 1448745 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762623999.735920 1448745 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762623999.745769 1448745 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762623999.745786 1448745 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762623999.745788 1448745 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762623999.745789 1448745 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-08 18:46:39.748949: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
I0000 00:00:1762624002.112554 1448745 gpu_device.cc:2019] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 13760 MB memory:  -> device: 0, name: NVIDIA GeForce RTX 4060 Ti, pci bus id: 0000:65:00.0, compute capability: 8.9
1 GPU(s) detected and VRAM set to crossover mode..
Epoch 1/25
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
I0000 00:00:1762624003.528134 1448856 service.cc:152] XLA service 0x7595e800ac50 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
I0000 00:00:1762624003.528166 1448856 service.cc:160]   StreamExecutor device (0): NVIDIA GeForce RTX 4060 Ti, Compute Capability 8.9
2025-11-08 18:46:43.551977: I tensorflow/compiler/mlir/tensorflow/utils/dump_mlir_util.cc:269] disabling MLIR crash reproducer, set env var `MLIR_CRASH_REPRODUCER_DIRECTORY` to enable.
I0000 00:00:1762624003.681455 1448856 cuda_dnn.cc:529] Loaded cuDNN version 91002
I0000 00:00:1762624005.425702 1448856 device_compiler.h:188] Compiled cluster using XLA!  This line is logged at most once for the lifetime of the process.

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2025-11-08 18:46:49.532264: I external/local_xla/xla/stream_executor/cuda/subprocess_compilation.cc:346] ptxas warning : Registers are spilled to local memory in function 'gemm_fusion_dot_92', 8 bytes spill stores, 8 bytes spill loads


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Epoch 2/25

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Epoch 3/25

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Epoch 4/25

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Epoch 5/25

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Epoch 6/25

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Epoch 7/25

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Epoch 8/25

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[1m 1/75[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m33s[0m 448ms/step
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Saved model to disk.
['CAMINAR CON LA COMPRA' 'CAMINAR CON MÓVIL O LIBRO' 'CAMINAR USUAL SPEED'
 'CAMINAR ZIGZAG' 'DE PIE BARRIENDO' 'DE PIE DOBLANDO TOALLAS'
 'DE PIE MOVIENDO LIBROS' 'DE PIE USANDO PC' 'FASE REPOSO CON K5'
 'INCREMENTAL CICLOERGOMETRO' 'SENTADO LEYENDO' 'SENTADO USANDO PC'
 'SENTADO VIENDO LA TV' 'SUBIR Y BAJAR ESCALERAS' 'TROTAR']
15
Mapeo de etiquetas: {'CAMINAR CON LA COMPRA': 0, 'CAMINAR CON MÓVIL O LIBRO': 1, 'CAMINAR USUAL SPEED': 2, 'CAMINAR ZIGZAG': 3, 'DE PIE BARRIENDO': 4, 'DE PIE DOBLANDO TOALLAS': 5, 'DE PIE MOVIENDO LIBROS': 6, 'DE PIE USANDO PC': 7, 'FASE REPOSO CON K5': 8, 'INCREMENTAL CICLOERGOMETRO': 9, 'SENTADO LEYENDO': 10, 'SENTADO USANDO PC': 11, 'SENTADO VIENDO LA TV': 12, 'SUBIR Y BAJAR ESCALERAS': 13, 'TROTAR': 14}
Loaded model from disk.
(2392, 6, 250)
(17480, 6, 250)

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[1m 1/75[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m1s[0m 16ms/step
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[1m 67/159[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m0s[0m 758us/step
[1m133/159[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m0s[0m 766us/step
[1m159/159[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 7ms/step  
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Global accuracy score (validation) = 46.96 [%]
Global F1 score (validation) = 45.95 [%]
[[5.]
 [5.]
 [5.]
 ...
 [9.]
 [9.]
 [9.]]
(2392, 1)
[[2.6922512e-03 3.5651233e-03 2.3566769e-03 ... 1.4092418e-03
  1.2336591e-03 4.2508487e-03]
 [3.2409085e-03 5.1102382e-03 1.4589283e-03 ... 7.6078268e-04
  1.5181736e-03 3.9503642e-04]
 [1.8703950e-03 1.9516245e-03 6.8914017e-04 ... 4.7095731e-04
  1.2692730e-03 2.1911629e-04]
 ...
 [6.2002653e-07 5.9428504e-07 5.8689697e-08 ... 6.4259893e-06
  5.7774173e-06 8.6553555e-06]
 [2.3064862e-07 5.2132810e-07 1.3455707e-07 ... 1.7272644e-07
  2.9517324e-07 2.0464058e-05]
 [1.4770549e-04 2.8982598e-04 1.2869851e-04 ... 3.3954191e-01
  3.0216277e-03 1.1291487e-04]]
(2392, 15)
-------------------------------------------------

Global accuracy score (train) = 78.63 [%]
Global accuracy score (test) = 47.95 [%]
Global F1 score (train) = 77.81 [%]
Global F1 score (test) = 46.83 [%]
                            precision    recall  f1-score   support

     CAMINAR CON LA COMPRA       0.22      0.13      0.16       161
 CAMINAR CON MÓVIL O LIBRO       0.32      0.43      0.37       161
       CAMINAR USUAL SPEED       0.25      0.40      0.31       161
            CAMINAR ZIGZAG       0.47      0.52      0.49       161
          DE PIE BARRIENDO       0.53      0.29      0.38       161
   DE PIE DOBLANDO TOALLAS       0.37      0.42      0.39       161
    DE PIE MOVIENDO LIBROS       0.40      0.39      0.39       161
          DE PIE USANDO PC       0.70      0.85      0.77       161
        FASE REPOSO CON K5       0.62      0.88      0.73       161
INCREMENTAL CICLOERGOMETRO       0.94      0.85      0.90       161
           SENTADO LEYENDO       0.56      0.35      0.43       161
         SENTADO USANDO PC       0.17      0.07      0.10       161
      SENTADO VIENDO LA TV       0.35      0.50      0.41       161
   SUBIR Y BAJAR ESCALERAS       0.49      0.34      0.40       161
                    TROTAR       0.76      0.82      0.79       138

                  accuracy                           0.48      2392
                 macro avg       0.48      0.48      0.47      2392
              weighted avg       0.48      0.48      0.47      2392


Accuracy capturado en la ejecución 26: 47.95 [%]
F1-score capturado en la ejecución 26: 46.83 [%]

=== EJECUCIÓN 27 ===

--- TRAIN (ejecución 27) ---

--- TEST (ejecución 27) ---
2025-11-08 18:47:11.499795: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2025-11-08 18:47:11.511215: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
E0000 00:00:1762624031.524451 1450607 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762624031.528590 1450607 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762624031.538403 1450607 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762624031.538424 1450607 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762624031.538433 1450607 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762624031.538435 1450607 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-08 18:47:11.541677: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
I0000 00:00:1762624033.923003 1450607 gpu_device.cc:2019] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 13760 MB memory:  -> device: 0, name: NVIDIA GeForce RTX 4060 Ti, pci bus id: 0000:65:00.0, compute capability: 8.9
1 GPU(s) detected and VRAM set to crossover mode..
Epoch 1/25
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
I0000 00:00:1762624035.331472 1450744 service.cc:152] XLA service 0x74c34401c450 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
I0000 00:00:1762624035.331542 1450744 service.cc:160]   StreamExecutor device (0): NVIDIA GeForce RTX 4060 Ti, Compute Capability 8.9
2025-11-08 18:47:15.361638: I tensorflow/compiler/mlir/tensorflow/utils/dump_mlir_util.cc:269] disabling MLIR crash reproducer, set env var `MLIR_CRASH_REPRODUCER_DIRECTORY` to enable.
I0000 00:00:1762624035.485790 1450744 cuda_dnn.cc:529] Loaded cuDNN version 91002
I0000 00:00:1762624037.227328 1450744 device_compiler.h:188] Compiled cluster using XLA!  This line is logged at most once for the lifetime of the process.

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[1m 71/547[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.1427 - loss: 2.5751
[1m114/547[0m [32m━━━━[0m[37m━━━━━━━━━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.1527 - loss: 2.4698
[1m149/547[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.1604 - loss: 2.4128
[1m188/547[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.1683 - loss: 2.3633
[1m228/547[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.1758 - loss: 2.3235
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[1m340/547[0m [32m━━━━━━━━━━━━[0m[37m━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.1926 - loss: 2.2470
[1m380/547[0m [32m━━━━━━━━━━━━━[0m[37m━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.1977 - loss: 2.2264
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[1m536/547[0m [32m━━━━━━━━━━━━━━━━━━━[0m[37m━[0m [1m0s[0m 1ms/step - accuracy: 0.2158 - loss: 2.1614
[1m547/547[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 4ms/step - accuracy: 0.2170 - loss: 2.15742025-11-08 18:47:20.106664: I external/local_xla/xla/stream_executor/cuda/subprocess_compilation.cc:346] ptxas warning : Registers are spilled to local memory in function 'gemm_fusion_dot_92', 8 bytes spill stores, 8 bytes spill loads

2025-11-08 18:47:21.316142: I external/local_xla/xla/stream_executor/cuda/subprocess_compilation.cc:346] ptxas warning : Registers are spilled to local memory in function 'gemm_fusion_dot_92', 8 bytes spill stores, 8 bytes spill loads


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Epoch 2/25

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Epoch 3/25

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Epoch 4/25

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Epoch 5/25

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Epoch 6/25

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Epoch 7/25

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Epoch 8/25

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Saved model to disk.
['CAMINAR CON LA COMPRA' 'CAMINAR CON MÓVIL O LIBRO' 'CAMINAR USUAL SPEED'
 'CAMINAR ZIGZAG' 'DE PIE BARRIENDO' 'DE PIE DOBLANDO TOALLAS'
 'DE PIE MOVIENDO LIBROS' 'DE PIE USANDO PC' 'FASE REPOSO CON K5'
 'INCREMENTAL CICLOERGOMETRO' 'SENTADO LEYENDO' 'SENTADO USANDO PC'
 'SENTADO VIENDO LA TV' 'SUBIR Y BAJAR ESCALERAS' 'TROTAR']
15
Mapeo de etiquetas: {'CAMINAR CON LA COMPRA': 0, 'CAMINAR CON MÓVIL O LIBRO': 1, 'CAMINAR USUAL SPEED': 2, 'CAMINAR ZIGZAG': 3, 'DE PIE BARRIENDO': 4, 'DE PIE DOBLANDO TOALLAS': 5, 'DE PIE MOVIENDO LIBROS': 6, 'DE PIE USANDO PC': 7, 'FASE REPOSO CON K5': 8, 'INCREMENTAL CICLOERGOMETRO': 9, 'SENTADO LEYENDO': 10, 'SENTADO USANDO PC': 11, 'SENTADO VIENDO LA TV': 12, 'SUBIR Y BAJAR ESCALERAS': 13, 'TROTAR': 14}
Loaded model from disk.
(2392, 6, 250)
(17480, 6, 250)

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[1m  1/159[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m2s[0m 16ms/step
[1m 67/159[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m0s[0m 762us/step
[1m133/159[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m0s[0m 763us/step
[1m159/159[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 7ms/step  
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Global accuracy score (validation) = 44.98 [%]
Global F1 score (validation) = 41.67 [%]
[[5.]
 [5.]
 [5.]
 ...
 [9.]
 [9.]
 [9.]]
(2392, 1)
[[1.2633604e-03 1.6576954e-03 7.7524682e-04 ... 1.7769836e-03
  7.1185332e-04 4.9173797e-04]
 [3.0418111e-03 3.6115909e-03 1.5430504e-03 ... 1.6826777e-03
  1.2777608e-03 4.2594955e-04]
 [3.9754123e-03 2.8274341e-03 1.6058073e-03 ... 1.6237928e-03
  9.6219615e-04 5.8582582e-04]
 ...
 [5.6555272e-08 6.3302068e-08 2.7933723e-07 ... 1.7268086e-06
  2.3826935e-06 5.8768399e-07]
 [8.8154986e-09 1.9413500e-08 4.1407586e-07 ... 5.9045462e-08
  2.8035734e-07 8.1902435e-06]
 [2.0711208e-04 1.0747590e-04 3.2547617e-04 ... 2.7207395e-01
  1.4237232e-03 3.0947581e-04]]
(2392, 15)
-------------------------------------------------

Global accuracy score (train) = 76.34 [%]
Global accuracy score (test) = 45.23 [%]
Global F1 score (train) = 73.92 [%]
Global F1 score (test) = 42.41 [%]
                            precision    recall  f1-score   support

     CAMINAR CON LA COMPRA       0.26      0.22      0.24       161
 CAMINAR CON MÓVIL O LIBRO       0.22      0.21      0.22       161
       CAMINAR USUAL SPEED       0.23      0.47      0.31       161
            CAMINAR ZIGZAG       0.45      0.53      0.49       161
          DE PIE BARRIENDO       0.51      0.35      0.41       161
   DE PIE DOBLANDO TOALLAS       0.34      0.24      0.28       161
    DE PIE MOVIENDO LIBROS       0.33      0.54      0.41       161
          DE PIE USANDO PC       0.89      0.63      0.73       161
        FASE REPOSO CON K5       0.68      0.86      0.76       161
INCREMENTAL CICLOERGOMETRO       0.96      0.85      0.90       161
           SENTADO LEYENDO       0.00      0.00      0.00       161
         SENTADO USANDO PC       0.35      0.95      0.51       161
      SENTADO VIENDO LA TV       0.33      0.01      0.01       161
   SUBIR Y BAJAR ESCALERAS       0.51      0.22      0.31       161
                    TROTAR       0.80      0.76      0.78       138

                  accuracy                           0.45      2392
                 macro avg       0.46      0.46      0.42      2392
              weighted avg       0.45      0.45      0.42      2392


Accuracy capturado en la ejecución 27: 45.23 [%]
F1-score capturado en la ejecución 27: 42.41 [%]

=== EJECUCIÓN 28 ===

--- TRAIN (ejecución 28) ---

--- TEST (ejecución 28) ---
2025-11-08 18:47:43.018443: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2025-11-08 18:47:43.029684: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
E0000 00:00:1762624063.042754 1452473 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762624063.046889 1452473 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762624063.056836 1452473 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762624063.056853 1452473 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762624063.056856 1452473 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762624063.056857 1452473 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-08 18:47:43.059814: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
I0000 00:00:1762624065.404975 1452473 gpu_device.cc:2019] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 13760 MB memory:  -> device: 0, name: NVIDIA GeForce RTX 4060 Ti, pci bus id: 0000:65:00.0, compute capability: 8.9
1 GPU(s) detected and VRAM set to crossover mode..
Epoch 1/25
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
I0000 00:00:1762624066.791148 1452604 service.cc:152] XLA service 0x74d22001e780 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
I0000 00:00:1762624066.791179 1452604 service.cc:160]   StreamExecutor device (0): NVIDIA GeForce RTX 4060 Ti, Compute Capability 8.9
2025-11-08 18:47:46.814777: I tensorflow/compiler/mlir/tensorflow/utils/dump_mlir_util.cc:269] disabling MLIR crash reproducer, set env var `MLIR_CRASH_REPRODUCER_DIRECTORY` to enable.
I0000 00:00:1762624066.940846 1452604 cuda_dnn.cc:529] Loaded cuDNN version 91002
I0000 00:00:1762624068.657075 1452604 device_compiler.h:188] Compiled cluster using XLA!  This line is logged at most once for the lifetime of the process.

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[1m149/547[0m [32m━━━━━[0m[37m━━━━━━━━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.1428 - loss: 2.4684
[1m189/547[0m [32m━━━━━━[0m[37m━━━━━━━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.1526 - loss: 2.4168
[1m226/547[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.1604 - loss: 2.3792
[1m267/547[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.1685 - loss: 2.3443
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[1m547/547[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 4ms/step - accuracy: 0.2108 - loss: 2.18692025-11-08 18:47:51.564867: I external/local_xla/xla/stream_executor/cuda/subprocess_compilation.cc:346] ptxas warning : Registers are spilled to local memory in function 'gemm_fusion_dot_92', 8 bytes spill stores, 8 bytes spill loads

2025-11-08 18:47:52.742146: I external/local_xla/xla/stream_executor/cuda/subprocess_compilation.cc:346] ptxas warning : Registers are spilled to local memory in function 'gemm_fusion_dot_92', 8 bytes spill stores, 8 bytes spill loads

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Epoch 2/25

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Epoch 3/25

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Epoch 4/25

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Epoch 5/25

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Epoch 6/25

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Epoch 7/25

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Epoch 8/25

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[1m 77/547[0m [32m━━[0m[37m━━━━━━━━━━━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.7430 - loss: 0.6637
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[1m271/547[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m0s[0m 1ms/step - accuracy: 0.7387 - loss: 0.6691
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[1m 1/75[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m32s[0m 440ms/step
[1m55/75[0m [32m━━━━━━━━━━━━━━[0m[37m━━━━━━[0m [1m0s[0m 936us/step 
[1m75/75[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 16ms/step 
[1m75/75[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m2s[0m 16ms/step
Saved model to disk.
['CAMINAR CON LA COMPRA' 'CAMINAR CON MÓVIL O LIBRO' 'CAMINAR USUAL SPEED'
 'CAMINAR ZIGZAG' 'DE PIE BARRIENDO' 'DE PIE DOBLANDO TOALLAS'
 'DE PIE MOVIENDO LIBROS' 'DE PIE USANDO PC' 'FASE REPOSO CON K5'
 'INCREMENTAL CICLOERGOMETRO' 'SENTADO LEYENDO' 'SENTADO USANDO PC'
 'SENTADO VIENDO LA TV' 'SUBIR Y BAJAR ESCALERAS' 'TROTAR']
15
Mapeo de etiquetas: {'CAMINAR CON LA COMPRA': 0, 'CAMINAR CON MÓVIL O LIBRO': 1, 'CAMINAR USUAL SPEED': 2, 'CAMINAR ZIGZAG': 3, 'DE PIE BARRIENDO': 4, 'DE PIE DOBLANDO TOALLAS': 5, 'DE PIE MOVIENDO LIBROS': 6, 'DE PIE USANDO PC': 7, 'FASE REPOSO CON K5': 8, 'INCREMENTAL CICLOERGOMETRO': 9, 'SENTADO LEYENDO': 10, 'SENTADO USANDO PC': 11, 'SENTADO VIENDO LA TV': 12, 'SUBIR Y BAJAR ESCALERAS': 13, 'TROTAR': 14}
Loaded model from disk.
(2392, 6, 250)
(17480, 6, 250)

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[1m64/75[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m0s[0m 801us/step
[1m75/75[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 15ms/step 
[1m75/75[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m1s[0m 16ms/step

[1m  1/159[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m2s[0m 16ms/step
[1m 68/159[0m [32m━━━━━━━━[0m[37m━━━━━━━━━━━━[0m [1m0s[0m 750us/step
[1m131/159[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m0s[0m 772us/step
[1m159/159[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 7ms/step  
[1m159/159[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m1s[0m 7ms/step
Global accuracy score (validation) = 45.63 [%]
Global F1 score (validation) = 43.07 [%]
[[5.]
 [5.]
 [5.]
 ...
 [9.]
 [9.]
 [9.]]
(2392, 1)
[[5.3183371e-06 5.0969629e-06 4.8299803e-06 ... 1.7114925e-08
  8.1481824e-07 1.3916015e-07]
 [1.4208908e-03 2.0722833e-03 1.3575793e-03 ... 2.5152875e-04
  1.2747932e-03 6.6563298e-05]
 [9.7491685e-04 1.0974024e-03 7.1863993e-04 ... 6.0972579e-05
  4.5035113e-04 1.3767895e-05]
 ...
 [7.9960355e-06 2.5824150e-07 1.0587810e-06 ... 3.1169040e-07
  5.9925674e-07 1.0725865e-04]
 [3.6303848e-07 5.2538859e-08 3.0459574e-08 ... 1.4421081e-08
  3.0382807e-08 4.3668711e-06]
 [6.0456875e-04 8.9431001e-04 1.0029202e-03 ... 2.7361920e-01
  6.9338810e-03 6.3703122e-04]]
(2392, 15)
-------------------------------------------------

Global accuracy score (train) = 78.04 [%]
Global accuracy score (test) = 44.57 [%]
Global F1 score (train) = 77.45 [%]
Global F1 score (test) = 44.16 [%]
                            precision    recall  f1-score   support

     CAMINAR CON LA COMPRA       0.22      0.34      0.26       161
 CAMINAR CON MÓVIL O LIBRO       0.32      0.29      0.30       161
       CAMINAR USUAL SPEED       0.23      0.20      0.21       161
            CAMINAR ZIGZAG       0.42      0.47      0.44       161
          DE PIE BARRIENDO       0.57      0.29      0.39       161
   DE PIE DOBLANDO TOALLAS       0.30      0.19      0.23       161
    DE PIE MOVIENDO LIBROS       0.33      0.49      0.39       161
          DE PIE USANDO PC       0.85      0.68      0.75       161
        FASE REPOSO CON K5       0.83      0.71      0.77       161
INCREMENTAL CICLOERGOMETRO       0.88      0.88      0.88       161
           SENTADO LEYENDO       0.40      0.17      0.24       161
         SENTADO USANDO PC       0.30      0.76      0.43       161
      SENTADO VIENDO LA TV       0.08      0.03      0.05       161
   SUBIR Y BAJAR ESCALERAS       0.45      0.44      0.45       161
                    TROTAR       0.86      0.80      0.83       138

                  accuracy                           0.45      2392
                 macro avg       0.47      0.45      0.44      2392
              weighted avg       0.46      0.45      0.44      2392


Accuracy capturado en la ejecución 28: 44.57 [%]
F1-score capturado en la ejecución 28: 44.16 [%]

=== EJECUCIÓN 29 ===

--- TRAIN (ejecución 29) ---

--- TEST (ejecución 29) ---
2025-11-08 18:48:14.437257: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2025-11-08 18:48:14.448575: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
E0000 00:00:1762624094.461894 1454332 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1762624094.465852 1454332 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
W0000 00:00:1762624094.475737 1454332 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762624094.475757 1454332 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762624094.475759 1454332 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
W0000 00:00:1762624094.475768 1454332 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
2025-11-08 18:48:14.478749: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
I0000 00:00:1762624096.817310 1454332 gpu_device.cc:2019] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 13758 MB memory:  -> device: 0, name: NVIDIA GeForce RTX 4060 Ti, pci bus id: 0000:65:00.0, compute capability: 8.9
1 GPU(s) detected and VRAM set to crossover mode..
Epoch 1/25
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
I0000 00:00:1762624098.219415 1454462 service.cc:152] XLA service 0x76d32800a430 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
I0000 00:00:1762624098.219445 1454462 service.cc:160]   StreamExecutor device (0): NVIDIA GeForce RTX 4060 Ti, Compute Capability 8.9
2025-11-08 18:48:18.243332: I tensorflow/compiler/mlir/tensorflow/utils/dump_mlir_util.cc:269] disabling MLIR crash reproducer, set env var `MLIR_CRASH_REPRODUCER_DIRECTORY` to enable.
I0000 00:00:1762624098.367545 1454462 cuda_dnn.cc:529] Loaded cuDNN version 91002
I0000 00:00:1762624100.082403 1454462 device_compiler.h:188] Compiled cluster using XLA!  This line is logged at most once for the lifetime of the process.

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2025-11-08 18:48:24.134532: I external/local_xla/xla/stream_executor/cuda/subprocess_compilation.cc:346] ptxas warning : Registers are spilled to local memory in function 'gemm_fusion_dot_92', 8 bytes spill stores, 8 bytes spill loads


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Epoch 2/25

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Epoch 3/25

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Epoch 4/25

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Epoch 5/25

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Epoch 6/25

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Epoch 7/25

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Epoch 8/25

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Saved model to disk.
['CAMINAR CON LA COMPRA' 'CAMINAR CON MÓVIL O LIBRO' 'CAMINAR USUAL SPEED'
 'CAMINAR ZIGZAG' 'DE PIE BARRIENDO' 'DE PIE DOBLANDO TOALLAS'
 'DE PIE MOVIENDO LIBROS' 'DE PIE USANDO PC' 'FASE REPOSO CON K5'
 'INCREMENTAL CICLOERGOMETRO' 'SENTADO LEYENDO' 'SENTADO USANDO PC'
 'SENTADO VIENDO LA TV' 'SUBIR Y BAJAR ESCALERAS' 'TROTAR']
15
Mapeo de etiquetas: {'CAMINAR CON LA COMPRA': 0, 'CAMINAR CON MÓVIL O LIBRO': 1, 'CAMINAR USUAL SPEED': 2, 'CAMINAR ZIGZAG': 3, 'DE PIE BARRIENDO': 4, 'DE PIE DOBLANDO TOALLAS': 5, 'DE PIE MOVIENDO LIBROS': 6, 'DE PIE USANDO PC': 7, 'FASE REPOSO CON K5': 8, 'INCREMENTAL CICLOERGOMETRO': 9, 'SENTADO LEYENDO': 10, 'SENTADO USANDO PC': 11, 'SENTADO VIENDO LA TV': 12, 'SUBIR Y BAJAR ESCALERAS': 13, 'TROTAR': 14}
Loaded model from disk.
(2392, 6, 250)
(17480, 6, 250)

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[1m 1/75[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m1s[0m 16ms/step
[1m62/75[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m0s[0m 824us/step
[1m75/75[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 15ms/step 
[1m75/75[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m1s[0m 15ms/step

[1m  1/159[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m2s[0m 16ms/step
[1m 72/159[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m0s[0m 705us/step
[1m142/159[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m0s[0m 715us/step
[1m159/159[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 7ms/step  
[1m159/159[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m1s[0m 7ms/step
Global accuracy score (validation) = 44.43 [%]
Global F1 score (validation) = 41.81 [%]
[[5.]
 [5.]
 [5.]
 ...
 [9.]
 [9.]
 [9.]]
(2392, 1)
[[1.93141925e-03 1.47200190e-03 1.42247102e-03 ... 1.63613958e-03
  9.49068577e-04 1.05955078e-04]
 [1.94263842e-03 1.28469267e-03 8.80369567e-04 ... 2.01655203e-03
  3.72346141e-04 1.72027401e-04]
 [3.21910135e-03 1.40985171e-03 1.40192034e-03 ... 1.04599365e-03
  7.86340854e-04 1.20162731e-04]
 ...
 [1.08453055e-13 5.21149116e-14 3.33692790e-13 ... 4.31105117e-11
  1.25508219e-12 3.71753401e-08]
 [1.04181352e-09 1.45213419e-09 3.82278564e-09 ... 1.57341029e-10
  5.84298832e-09 1.95685459e-08]
 [1.74877656e-04 7.74396249e-05 1.34203670e-04 ... 4.49713856e-01
  9.25122702e-04 1.11352587e-04]]
(2392, 15)
-------------------------------------------------

Global accuracy score (train) = 77.88 [%]
Global accuracy score (test) = 44.23 [%]
Global F1 score (train) = 75.39 [%]
Global F1 score (test) = 42.31 [%]
                            precision    recall  f1-score   support

     CAMINAR CON LA COMPRA       0.22      0.35      0.27       161
 CAMINAR CON MÓVIL O LIBRO       0.30      0.25      0.28       161
       CAMINAR USUAL SPEED       0.19      0.19      0.19       161
            CAMINAR ZIGZAG       0.57      0.40      0.47       161
          DE PIE BARRIENDO       0.51      0.17      0.25       161
   DE PIE DOBLANDO TOALLAS       0.34      0.51      0.41       161
    DE PIE MOVIENDO LIBROS       0.32      0.39      0.35       161
          DE PIE USANDO PC       0.83      0.78      0.81       161
        FASE REPOSO CON K5       0.61      0.73      0.67       161
INCREMENTAL CICLOERGOMETRO       0.94      0.87      0.90       161
           SENTADO LEYENDO       0.00      0.00      0.00       161
         SENTADO USANDO PC       0.17      0.03      0.05       161
      SENTADO VIENDO LA TV       0.27      0.68      0.39       161
   SUBIR Y BAJAR ESCALERAS       0.47      0.53      0.50       161
                    TROTAR       0.82      0.80      0.81       138

                  accuracy                           0.44      2392
                 macro avg       0.44      0.45      0.42      2392
              weighted avg       0.43      0.44      0.42      2392


Accuracy capturado en la ejecución 29: 44.23 [%]
F1-score capturado en la ejecución 29: 42.31 [%]

=== EJECUCIÓN 30 ===

--- TRAIN (ejecución 30) ---

--- TEST (ejecución 30) ---
['CAMINAR CON LA COMPRA' 'CAMINAR CON MÓVIL O LIBRO' 'CAMINAR USUAL SPEED'
 'CAMINAR ZIGZAG' 'DE PIE BARRIENDO' 'DE PIE DOBLANDO TOALLAS'
 'DE PIE MOVIENDO LIBROS' 'DE PIE USANDO PC' 'FASE REPOSO CON K5'
 'INCREMENTAL CICLOERGOMETRO' 'SENTADO LEYENDO' 'SENTADO USANDO PC'
 'SENTADO VIENDO LA TV' 'SUBIR Y BAJAR ESCALERAS' 'TROTAR']
15
Mapeo de etiquetas: {'CAMINAR CON LA COMPRA': 0, 'CAMINAR CON MÓVIL O LIBRO': 1, 'CAMINAR USUAL SPEED': 2, 'CAMINAR ZIGZAG': 3, 'DE PIE BARRIENDO': 4, 'DE PIE DOBLANDO TOALLAS': 5, 'DE PIE MOVIENDO LIBROS': 6, 'DE PIE USANDO PC': 7, 'FASE REPOSO CON K5': 8, 'INCREMENTAL CICLOERGOMETRO': 9, 'SENTADO LEYENDO': 10, 'SENTADO USANDO PC': 11, 'SENTADO VIENDO LA TV': 12, 'SUBIR Y BAJAR ESCALERAS': 13, 'TROTAR': 14}
Loaded model from disk.
(2392, 6, 250)
(17480, 6, 250)

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[1m270/547[0m [32m━━━━━━━━━[0m[37m━━━━━━━━━━━[0m [1m0s[0m 751us/step
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[1m464/547[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m0s[0m 763us/step
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[1m547/547[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 3ms/step  
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[1m 1/75[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m1s[0m 16ms/step
[1m64/75[0m [32m━━━━━━━━━━━━━━━━━[0m[37m━━━[0m [1m0s[0m 802us/step
[1m75/75[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 15ms/step 
[1m75/75[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m1s[0m 16ms/step

[1m  1/159[0m [37m━━━━━━━━━━━━━━━━━━━━[0m [1m2s[0m 16ms/step
[1m 61/159[0m [32m━━━━━━━[0m[37m━━━━━━━━━━━━━[0m [1m0s[0m 855us/step
[1m128/159[0m [32m━━━━━━━━━━━━━━━━[0m[37m━━━━[0m [1m0s[0m 802us/step
[1m159/159[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m0s[0m 7ms/step  
[1m159/159[0m [32m━━━━━━━━━━━━━━━━━━━━[0m[37m[0m [1m1s[0m 7ms/step
Global accuracy score (validation) = 46.11 [%]
Global F1 score (validation) = 43.38 [%]
[[5.]
 [5.]
 [5.]
 ...
 [9.]
 [9.]
 [9.]]
(2392, 1)
[[2.2318070e-03 1.0413185e-03 7.4544729e-04 ... 6.5065775e-05
  4.7890758e-04 9.2242284e-05]
 [1.1343022e-02 6.8626767e-03 4.9172929e-03 ... 4.9755699e-04
  2.1577047e-03 3.3550794e-04]
 [2.5889962e-03 1.2445179e-03 3.8974968e-04 ... 3.6569323e-05
  2.5531172e-04 2.4438537e-05]
 ...
 [8.6584314e-06 2.2183610e-06 7.2624002e-06 ... 4.0731065e-06
  7.6605684e-05 7.9905903e-06]
 [2.6323739e-06 6.0989232e-06 4.3620517e-08 ... 2.1305472e-07
  4.5047798e-07 2.0460186e-06]
 [2.8412550e-04 2.2292240e-04 1.7322092e-04 ... 2.1425709e-01
  6.9855480e-03 6.7739643e-04]]
(2392, 15)
-------------------------------------------------

Global accuracy score (train) = 77.0 [%]
Global accuracy score (test) = 47.58 [%]
Global F1 score (train) = 75.02 [%]
Global F1 score (test) = 45.37 [%]
                            precision    recall  f1-score   support

     CAMINAR CON LA COMPRA       0.28      0.20      0.24       161
 CAMINAR CON MÓVIL O LIBRO       0.21      0.26      0.23       161
       CAMINAR USUAL SPEED       0.19      0.24      0.21       161
            CAMINAR ZIGZAG       0.56      0.39      0.46       161
          DE PIE BARRIENDO       0.66      0.30      0.42       161
   DE PIE DOBLANDO TOALLAS       0.35      0.54      0.42       161
    DE PIE MOVIENDO LIBROS       0.41      0.41      0.41       161
          DE PIE USANDO PC       0.74      0.81      0.78       161
        FASE REPOSO CON K5       0.85      0.88      0.87       161
INCREMENTAL CICLOERGOMETRO       0.98      0.88      0.92       161
           SENTADO LEYENDO       0.80      0.05      0.09       161
         SENTADO USANDO PC       0.33      0.94      0.49       161
      SENTADO VIENDO LA TV       0.00      0.00      0.00       161
   SUBIR Y BAJAR ESCALERAS       0.43      0.50      0.46       161
                    TROTAR       0.84      0.78      0.81       138

                  accuracy                           0.48      2392
                 macro avg       0.51      0.48      0.45      2392
              weighted avg       0.51      0.48      0.45      2392


Accuracy capturado en la ejecución 30: 47.58 [%]
F1-score capturado en la ejecución 30: 45.37 [%]

=== RESUMEN FINAL ===
Accuracies: [45.82, 46.82, 47.07, 42.98, 43.48, 44.73, 44.86, 47.16, 46.2, 46.2, 46.24, 45.74, 47.87, 49.83, 44.11, 46.45, 46.2, 46.32, 47.12, 47.95, 45.19, 47.16, 43.65, 47.78, 48.08, 47.95, 45.23, 44.57, 44.23, 47.58]
F1-scores: [44.91, 44.62, 46.55, 41.26, 42.63, 43.1, 42.97, 47.31, 45.33, 44.29, 45.42, 43.69, 46.17, 47.56, 42.49, 43.9, 44.8, 44.11, 44.39, 47.14, 43.13, 47.36, 42.09, 46.26, 46.72, 46.83, 42.41, 44.16, 42.31, 45.37]
Accuracy mean: 46.1523 | std: 1.5845
F1 mean: 44.6427 | std: 1.7826

Resultados guardados en /mnt/nvme1n2/git/uniovi-simur-wearablepermed-data/output/Paper_results/cases_dataset_PI/case_PI_CAPTURE24_acc_gyr_17_classes/metrics_test.npz
