INFO:pytorch_lightning.utilities.rank_zero:########## work in progress ##########
INFO:pytorch_lightning.utilities.rank_zero:
############################################################################
#
# RWKV-5 BF16 on 1x1 GPU, bsz 1x1x4=4, deepspeed_stage_1 with grad_cp
#
# Data = /mnt/ssd2t/home/wty/research/vicsek_near_critical/rwkv_trainer/comparison_data/train (binidx), ProjDir = /mnt/ssd2t/home/wty/research/vicsek_near_critical/rwkv_trainer/comparison_original/out
#
# Epoch = 0 to -1 (will continue afterwards), save every 1 epoch
#
# Each "epoch" = 10080 steps, 40320 samples, 2580480 tokens
#
# Model = 2 n_layer, 64 n_embd, 64 ctx_len
#
# Adam = lr 0.0006 to 1e-05, warmup 10 steps, beta (0.9, 0.99), eps 1e-18
#
# Found torch 2.5.1+cu124, recommend latest torch
# Found deepspeed 0.18.5, recommend latest deepspeed
# Found pytorch_lightning 1.9.5, recommend 1.9.5
#
############################################################################

INFO:pytorch_lightning.utilities.rank_zero:{'load_model': '/mnt/ssd2t/home/wty/research/vicsek_near_critical/rwkv_trainer/comparison_original/out/rwkv-init.pth', 'wandb': '', 'proj_dir': '/mnt/ssd2t/home/wty/research/vicsek_near_critical/rwkv_trainer/comparison_original/out', 'random_seed': -1, 'train_type': '', 'data_file': '/mnt/ssd2t/home/wty/research/vicsek_near_critical/rwkv_trainer/comparison_data/train', 'data_type': 'binidx', 'vocab_size': 361, 'ctx_len': 64, 'epoch_steps': 10080, 'epoch_count': 0, 'epoch_begin': 0, 'epoch_save': 1, 'micro_bsz': 4, 'n_layer': 2, 'n_embd': 64, 'dim_att': 64, 'dim_ffn': 224, 'pre_ffn': 0, 'head_qk': 0, 'tiny_att_dim': 0, 'tiny_att_layer': -999, 'lr_init': 0.0006, 'lr_final': 1e-05, 'warmup_steps': 10, 'beta1': 0.9, 'beta2': 0.99, 'adam_eps': 1e-18, 'grad_cp': 1, 'dropout': 0, 'weight_decay': 0.001, 'weight_decay_final': -1, 'grad_clip': 1.0, 'my_pile_version': 1, 'my_pile_stage': 3, 'my_pile_shift': 0, 'my_pile_edecay': 0, 'layerwise_lr': 1, 'ds_bucket_mb': 200, 'my_sample_len': 0, 'my_ffn_shift': 1, 'my_att_shift': 1, 'head_size_a': 64, 'head_size_divisor': 8, 'my_pos_emb': 0, 'load_partial': 0, 'magic_prime': 1013, 'my_qa_mask': 0, 'my_random_steps': 0, 'my_testing': 'x052', 'my_exit': 99999999, 'my_exit_tokens': 64000, 'logger': False, 'enable_checkpointing': False, 'default_root_dir': None, 'gradient_clip_val': 1.0, 'gradient_clip_algorithm': None, 'num_nodes': 1, 'num_processes': None, 'devices': '1', 'gpus': None, 'auto_select_gpus': None, 'tpu_cores': None, 'ipus': None, 'enable_progress_bar': True, 'overfit_batches': 0.0, 'track_grad_norm': -1, 'check_val_every_n_epoch': 100000000000000000000, 'fast_dev_run': False, 'accumulate_grad_batches': None, 'max_epochs': -1, 'min_epochs': None, 'max_steps': -1, 'min_steps': None, 'max_time': None, 'limit_train_batches': None, 'limit_val_batches': None, 'limit_test_batches': None, 'limit_predict_batches': None, 'val_check_interval': None, 'log_every_n_steps': 100000000000000000000, 'accelerator': 'gpu', 'strategy': 'deepspeed_stage_1', 'sync_batchnorm': False, 'precision': 'bf16', 'enable_model_summary': True, 'num_sanity_val_steps': 0, 'resume_from_checkpoint': None, 'profiler': None, 'benchmark': None, 'reload_dataloaders_every_n_epochs': 0, 'auto_lr_find': False, 'replace_sampler_ddp': False, 'detect_anomaly': False, 'auto_scale_batch_size': False, 'plugins': None, 'amp_backend': None, 'amp_level': None, 'move_metrics_to_cpu': False, 'multiple_trainloader_mode': 'max_size_cycle', 'inference_mode': True, 'my_timestamp': '2026-02-11-15-42-39', 'betas': (0.9, 0.99), 'real_bsz': 4, 'run_name': '361 ctx64 L2 D64'}

INFO:pytorch_lightning.utilities.rank_zero:Current vocab size = 361 (make sure it's correct)
INFO:pytorch_lightning.utilities.rank_zero:Data has 65000 tokens.
INFO:pytorch_lightning.utilities.rank_zero:########## Pile 20b-tokenized stage 3 ##########
Using /home/wty/.cache/torch_extensions/py312_cu124 as PyTorch extensions root...
Detected CUDA files, patching ldflags
Emitting ninja build file /home/wty/.cache/torch_extensions/py312_cu124/wkv5/build.ninja...
/mnt/ssd2t/home/wty/micromamba/envs/rwkv/lib/python3.12/site-packages/torch/utils/cpp_extension.py:1964: UserWarning: TORCH_CUDA_ARCH_LIST is not set, all archs for visible cards are included for compilation. 
If this is not desired, please set os.environ['TORCH_CUDA_ARCH_LIST'].
  warnings.warn(
Building extension module wkv5...
Allowing ninja to set a default number of workers... (overridable by setting the environment variable MAX_JOBS=N)
RWKV_MY_TESTING x052
ninja: no work to do.
Loading extension module wkv5...
INFO:pytorch_lightning.utilities.rank_zero:########## Loading /mnt/ssd2t/home/wty/research/vicsek_near_critical/rwkv_trainer/comparison_original/out/rwkv-init.pth... ##########
/mnt/ssd2t/home/wty/lib/RWKV-LM/RWKV-v5/train.py:265: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
  load_dict = torch.load(args.load_model, map_location="cpu")
INFO:pytorch_lightning.utilities.rank_zero:GPU available: True (cuda), used: True
INFO:pytorch_lightning.utilities.rank_zero:TPU available: False, using: 0 TPU cores
INFO:pytorch_lightning.utilities.rank_zero:IPU available: False, using: 0 IPUs
INFO:pytorch_lightning.utilities.rank_zero:HPU available: False, using: 0 HPUs
INFO:pytorch_lightning.strategies.deepspeed:initializing deepspeed distributed: GLOBAL_RANK: 0, MEMBER: 1/1
INFO:pytorch_lightning.utilities.rank_zero:Enabling DeepSpeed BF16.
INFO:pytorch_lightning.accelerators.cuda:LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]
/mnt/ssd2t/home/wty/micromamba/envs/rwkv/lib/python3.12/site-packages/torch/utils/cpp_extension.py:1964: UserWarning: TORCH_CUDA_ARCH_LIST is not set, all archs for visible cards are included for compilation. 
If this is not desired, please set os.environ['TORCH_CUDA_ARCH_LIST'].
  warnings.warn(
361   64                emb.weight
64                      blocks.0.ln1.weight
64                      blocks.0.ln1.bias
64                      blocks.0.ln2.weight
64                      blocks.0.ln2.bias
64                      blocks.0.ln0.weight
64                      blocks.0.ln0.bias
1     1     64          blocks.0.att.time_mix_k
1     1     64          blocks.0.att.time_mix_v
1     1     64          blocks.0.att.time_mix_r
1     1     64          blocks.0.att.time_mix_g
1     64                blocks.0.att.time_decay
1     64                blocks.0.att.time_faaaa
64    64                blocks.0.att.receptance.weight
64    64                blocks.0.att.key.weight
64    64                blocks.0.att.value.weight
64    64                blocks.0.att.output.weight
64    64                blocks.0.att.gate.weight
64                      blocks.0.att.ln_x.weight
64                      blocks.0.att.ln_x.bias
1     1     64          blocks.0.ffn.time_mix_k
1     1     64          blocks.0.ffn.time_mix_r
224   64                blocks.0.ffn.key.weight
64    64                blocks.0.ffn.receptance.weight
64    224               blocks.0.ffn.value.weight
64                      blocks.1.ln1.weight
64                      blocks.1.ln1.bias
64                      blocks.1.ln2.weight
64                      blocks.1.ln2.bias
1     1     64          blocks.1.att.time_mix_k
1     1     64          blocks.1.att.time_mix_v
1     1     64          blocks.1.att.time_mix_r
1     1     64          blocks.1.att.time_mix_g
1     64                blocks.1.att.time_decay
1     64                blocks.1.att.time_faaaa
64    64                blocks.1.att.receptance.weight
64    64                blocks.1.att.key.weight
64    64                blocks.1.att.value.weight
64    64                blocks.1.att.output.weight
64    64                blocks.1.att.gate.weight
64                      blocks.1.att.ln_x.weight
64                      blocks.1.att.ln_x.bias
1     1     64          blocks.1.ffn.time_mix_k
1     1     64          blocks.1.ffn.time_mix_r
224   64                blocks.1.ffn.key.weight
64    64                blocks.1.ffn.receptance.weight
64    224               blocks.1.ffn.value.weight
64                      ln_out.weight
64                      ln_out.bias
361   64                head.weight
decay ['blocks.0.att.gate.weight', 'blocks.0.att.key.weight', 'blocks.0.att.output.weight', 'blocks.0.att.receptance.weight', 'blocks.0.att.value.weight', 'blocks.0.ffn.key.weight', 'blocks.0.ffn.receptance.weight', 'blocks.0.ffn.value.weight', 'blocks.1.att.gate.weight', 'blocks.1.att.key.weight', 'blocks.1.att.output.weight', 'blocks.1.att.receptance.weight', 'blocks.1.att.value.weight', 'blocks.1.ffn.key.weight', 'blocks.1.ffn.receptance.weight', 'blocks.1.ffn.value.weight', 'emb.weight', 'head.weight'] 

1x ['blocks.0.att.ln_x.bias', 'blocks.0.att.ln_x.weight', 'blocks.0.att.time_faaaa', 'blocks.0.att.time_mix_g', 'blocks.0.att.time_mix_k', 'blocks.0.att.time_mix_r', 'blocks.0.att.time_mix_v', 'blocks.0.ffn.time_mix_k', 'blocks.0.ffn.time_mix_r', 'blocks.0.ln0.bias', 'blocks.0.ln0.weight', 'blocks.0.ln1.bias', 'blocks.0.ln1.weight', 'blocks.0.ln2.bias', 'blocks.0.ln2.weight', 'blocks.1.att.ln_x.bias', 'blocks.1.att.ln_x.weight', 'blocks.1.att.time_faaaa', 'blocks.1.att.time_mix_g', 'blocks.1.att.time_mix_k', 'blocks.1.att.time_mix_r', 'blocks.1.att.time_mix_v', 'blocks.1.ffn.time_mix_k', 'blocks.1.ffn.time_mix_r', 'blocks.1.ln1.bias', 'blocks.1.ln1.weight', 'blocks.1.ln2.bias', 'blocks.1.ln2.weight', 'ln_out.bias', 'ln_out.weight'] 

2x ['blocks.0.att.time_decay', 'blocks.1.att.time_decay'] 

3x [] 

INFO:pytorch_lightning.callbacks.model_summary:
  | Name   | Type       | Params
--------------------------------------
0 | emb    | Embedding  | 23.1 K
1 | blocks | ModuleList | 108 K 
2 | ln_out | LayerNorm  | 128   
3 | head   | Linear     | 23.1 K
--------------------------------------
154 K     Trainable params
0         Non-trainable params
154 K     Total params
0.619     Total estimated model params size (MB)
Before initializing optimizer states
MA 0.0 GB         Max_MA 0.0 GB         CA 0.0 GB         Max_CA 0 GB 
CPU Virtual Memory:  used = 11.22 GB, percent = 8.9%
After initializing optimizer states
MA 0.0 GB         Max_MA 0.0 GB         CA 0.0 GB         Max_CA 0 GB 
CPU Virtual Memory:  used = 11.22 GB, percent = 8.9%
After initializing ZeRO optimizer
MA 0.0 GB         Max_MA 0.0 GB         CA 0.0 GB         Max_CA 0 GB 
CPU Virtual Memory:  used = 11.24 GB, percent = 8.9%

Training: 0it [00:00, ?it/s]
Training:   0%|          | 0/10080 [00:00<?, ?it/s]
Epoch 0:   0%|          | 0/10080 [00:00<?, ?it/s] 
{'zero_allow_untested_optimizer': True, 'zero_optimization': {'stage': 1, 'contiguous_gradients': True, 'overlap_comm': True, 'allgather_partitions': True, 'reduce_scatter': True, 'allgather_bucket_size': 200000000, 'reduce_bucket_size': 200000000, 'sub_group_size': 1000000000000}, 'activation_checkpointing': {'partition_activations': False, 'cpu_checkpointing': False, 'contiguous_memory_optimization': False, 'synchronize_checkpoint_boundary': False}, 'aio': {'block_size': 1048576, 'queue_depth': 8, 'single_submit': False, 'overlap_events': True, 'thread_count': 1}, 'gradient_accumulation_steps': 1, 'train_micro_batch_size_per_gpu': 4, 'gradient_clipping': 1.0, 'bf16': {'enabled': True}}


Epoch 0:   0%|          | 1/10080 [00:00<1:50:06,  1.53it/s]
Epoch 0:   0%|          | 1/10080 [00:00<1:50:11,  1.52it/s, loss=6.030, lr=6e-6]
Epoch 0:   0%|          | 2/10080 [00:01<1:40:55,  1.66it/s, loss=6.030, lr=6e-6]
Epoch 0:   0%|          | 2/10080 [00:01<1:40:56,  1.66it/s, loss=6.020, lr=6.54e-5, REAL it/s=1.820, Kt/s=0.466]
Epoch 0:   0%|          | 3/10080 [00:01<1:09:11,  2.43it/s, loss=6.020, lr=6.54e-5, REAL it/s=1.820, Kt/s=0.466]
Epoch 0:   0%|          | 3/10080 [00:01<1:09:12,  2.43it/s, loss=6.020, lr=0.000125, REAL it/s=28.70, Kt/s=7.360]
Epoch 0:   0%|          | 4/10080 [00:01<53:07,  3.16it/s, loss=6.020, lr=0.000125, REAL it/s=28.70, Kt/s=7.360]  
Epoch 0:   0%|          | 4/10080 [00:01<53:08,  3.16it/s, loss=6.020, lr=0.000184, REAL it/s=33.50, Kt/s=8.570]
Epoch 0:   0%|          | 5/10080 [00:01<43:36,  3.85it/s, loss=6.020, lr=0.000184, REAL it/s=33.50, Kt/s=8.570]
Epoch 0:   0%|          | 5/10080 [00:01<43:38,  3.85it/s, loss=6.010, lr=0.000244, REAL it/s=30.60, Kt/s=7.820]
Epoch 0:   0%|          | 6/10080 [00:01<37:21,  4.49it/s, loss=6.010, lr=0.000244, REAL it/s=30.60, Kt/s=7.820]
Epoch 0:   0%|          | 6/10080 [00:01<37:22,  4.49it/s, loss=6.020, lr=0.000303, REAL it/s=27.30, Kt/s=6.990]
Epoch 0:   0%|          | 7/10080 [00:01<32:53,  5.11it/s, loss=6.020, lr=0.000303, REAL it/s=27.30, Kt/s=6.990]
Epoch 0:   0%|          | 7/10080 [00:01<32:53,  5.10it/s, loss=6.030, lr=0.000362, REAL it/s=27.70, Kt/s=7.100]
Epoch 0:   0%|          | 8/10080 [00:01<29:29,  5.69it/s, loss=6.030, lr=0.000362, REAL it/s=27.70, Kt/s=7.100]
Epoch 0:   0%|          | 8/10080 [00:01<29:30,  5.69it/s, loss=6.030, lr=0.000422, REAL it/s=29.00, Kt/s=7.410]
Epoch 0:   0%|          | 9/10080 [00:01<26:53,  6.24it/s, loss=6.030, lr=0.000422, REAL it/s=29.00, Kt/s=7.410]
Epoch 0:   0%|          | 9/10080 [00:01<26:54,  6.24it/s, loss=6.030, lr=0.000481, REAL it/s=27.50, Kt/s=7.050]
Epoch 0:   0%|          | 10/10080 [00:01<24:46,  6.77it/s, loss=6.030, lr=0.000481, REAL it/s=27.50, Kt/s=7.050]
Epoch 0:   0%|          | 10/10080 [00:01<24:47,  6.77it/s, loss=6.030, lr=0.000541, REAL it/s=28.90, Kt/s=7.410]
Epoch 0:   0%|          | 11/10080 [00:01<23:02,  7.28it/s, loss=6.030, lr=0.000541, REAL it/s=28.90, Kt/s=7.410]
Epoch 0:   0%|          | 11/10080 [00:01<23:03,  7.28it/s, loss=6.030, lr=0.0006, REAL it/s=29.60, Kt/s=7.580]  
Epoch 0:   0%|          | 12/10080 [00:01<21:36,  7.77it/s, loss=6.030, lr=0.0006, REAL it/s=29.60, Kt/s=7.580]
Epoch 0:   0%|          | 12/10080 [00:01<21:36,  7.76it/s, loss=6.030, lr=0.0006, REAL it/s=28.80, Kt/s=7.370]
Epoch 0:   0%|          | 13/10080 [00:01<20:21,  8.24it/s, loss=6.030, lr=0.0006, REAL it/s=28.80, Kt/s=7.370]
Epoch 0:   0%|          | 13/10080 [00:01<20:21,  8.24it/s, loss=6.030, lr=0.0006, REAL it/s=31.00, Kt/s=7.940]
Epoch 0:   0%|          | 14/10080 [00:01<19:19,  8.68it/s, loss=6.030, lr=0.0006, REAL it/s=31.00, Kt/s=7.940]
Epoch 0:   0%|          | 14/10080 [00:01<19:20,  8.68it/s, loss=6.030, lr=0.0006, REAL it/s=28.00, Kt/s=7.170]
Epoch 0:   0%|          | 15/10080 [00:01<18:26,  9.10it/s, loss=6.030, lr=0.0006, REAL it/s=28.00, Kt/s=7.170]
Epoch 0:   0%|          | 15/10080 [00:01<18:26,  9.09it/s, loss=6.030, lr=0.0006, REAL it/s=27.90, Kt/s=7.140]
Epoch 0:   0%|          | 16/10080 [00:01<17:38,  9.50it/s, loss=6.030, lr=0.0006, REAL it/s=27.90, Kt/s=7.140]
Epoch 0:   0%|          | 16/10080 [00:01<17:39,  9.50it/s, loss=6.030, lr=0.000599, REAL it/s=28.90, Kt/s=7.390]
Epoch 0:   0%|          | 17/10080 [00:01<16:55,  9.91it/s, loss=6.030, lr=0.000599, REAL it/s=28.90, Kt/s=7.390]
Epoch 0:   0%|          | 17/10080 [00:01<16:55,  9.91it/s, loss=6.030, lr=0.000599, REAL it/s=30.40, Kt/s=7.790]
Epoch 0:   0%|          | 18/10080 [00:01<16:18, 10.28it/s, loss=6.030, lr=0.000599, REAL it/s=30.40, Kt/s=7.790]
Epoch 0:   0%|          | 18/10080 [00:01<16:18, 10.28it/s, loss=6.030, lr=0.000599, REAL it/s=29.00, Kt/s=7.420]
Epoch 0:   0%|          | 19/10080 [00:01<15:43, 10.66it/s, loss=6.030, lr=0.000599, REAL it/s=29.00, Kt/s=7.420]
Epoch 0:   0%|          | 19/10080 [00:01<15:43, 10.66it/s, loss=6.020, lr=0.000598, REAL it/s=31.60, Kt/s=8.090]
Epoch 0:   0%|          | 20/10080 [00:01<15:09, 11.06it/s, loss=6.020, lr=0.000598, REAL it/s=31.60, Kt/s=8.090]
Epoch 0:   0%|          | 20/10080 [00:01<15:09, 11.06it/s, loss=6.020, lr=0.000598, REAL it/s=37.60, Kt/s=9.640]
Epoch 0:   0%|          | 21/10080 [00:01<14:41, 11.41it/s, loss=6.020, lr=0.000598, REAL it/s=37.60, Kt/s=9.640]
Epoch 0:   0%|          | 21/10080 [00:01<14:41, 11.41it/s, loss=6.020, lr=0.000597, REAL it/s=32.10, Kt/s=8.220]
Epoch 0:   0%|          | 22/10080 [00:01<14:17, 11.73it/s, loss=6.020, lr=0.000597, REAL it/s=32.10, Kt/s=8.220]
Epoch 0:   0%|          | 22/10080 [00:01<14:17, 11.73it/s, loss=6.030, lr=0.000597, REAL it/s=28.10, Kt/s=7.200]
Epoch 0:   0%|          | 23/10080 [00:01<13:54, 12.05it/s, loss=6.030, lr=0.000597, REAL it/s=28.10, Kt/s=7.200]
Epoch 0:   0%|          | 23/10080 [00:01<13:54, 12.05it/s, loss=6.030, lr=0.000596, REAL it/s=30.10, Kt/s=7.700]
Epoch 0:   0%|          | 24/10080 [00:01<13:34, 12.35it/s, loss=6.030, lr=0.000596, REAL it/s=30.10, Kt/s=7.700]
Epoch 0:   0%|          | 24/10080 [00:01<13:34, 12.35it/s, loss=6.030, lr=0.000596, REAL it/s=29.70, Kt/s=7.610]
Epoch 0:   0%|          | 25/10080 [00:01<13:14, 12.65it/s, loss=6.030, lr=0.000596, REAL it/s=29.70, Kt/s=7.610]
Epoch 0:   0%|          | 25/10080 [00:01<13:15, 12.65it/s, loss=6.030, lr=0.000595, REAL it/s=29.60, Kt/s=7.570]
Epoch 0:   0%|          | 26/10080 [00:02<12:56, 12.95it/s, loss=6.030, lr=0.000595, REAL it/s=29.60, Kt/s=7.570]
Epoch 0:   0%|          | 26/10080 [00:02<12:56, 12.94it/s, loss=6.030, lr=0.000594, REAL it/s=31.10, Kt/s=7.950]
Epoch 0:   0%|          | 27/10080 [00:02<12:40, 13.21it/s, loss=6.030, lr=0.000594, REAL it/s=31.10, Kt/s=7.950]
Epoch 0:   0%|          | 27/10080 [00:02<12:40, 13.21it/s, loss=6.030, lr=0.000594, REAL it/s=28.70, Kt/s=7.360]
Epoch 0:   0%|          | 28/10080 [00:02<12:25, 13.49it/s, loss=6.030, lr=0.000594, REAL it/s=28.70, Kt/s=7.360]
Epoch 0:   0%|          | 28/10080 [00:02<12:25, 13.49it/s, loss=6.030, lr=0.000593, REAL it/s=30.40, Kt/s=7.790]
Epoch 0:   0%|          | 29/10080 [00:02<12:11, 13.75it/s, loss=6.030, lr=0.000593, REAL it/s=30.40, Kt/s=7.790]
Epoch 0:   0%|          | 29/10080 [00:02<12:11, 13.75it/s, loss=6.030, lr=0.000592, REAL it/s=30.50, Kt/s=7.800]
Epoch 0:   0%|          | 30/10080 [00:02<11:58, 14.00it/s, loss=6.030, lr=0.000592, REAL it/s=30.50, Kt/s=7.800]
Epoch 0:   0%|          | 30/10080 [00:02<11:58, 13.99it/s, loss=6.030, lr=0.000591, REAL it/s=29.00, Kt/s=7.430]
Epoch 0:   0%|          | 31/10080 [00:02<11:45, 14.24it/s, loss=6.030, lr=0.000591, REAL it/s=29.00, Kt/s=7.430]
Epoch 0:   0%|          | 31/10080 [00:02<11:46, 14.23it/s, loss=6.030, lr=0.00059, REAL it/s=29.50, Kt/s=7.560] 
Epoch 0:   0%|          | 32/10080 [00:02<11:35, 14.45it/s, loss=6.030, lr=0.00059, REAL it/s=29.50, Kt/s=7.560]
Epoch 0:   0%|          | 32/10080 [00:02<11:35, 14.45it/s, loss=6.030, lr=0.000589, REAL it/s=27.40, Kt/s=7.010]
Epoch 0:   0%|          | 33/10080 [00:02<11:24, 14.68it/s, loss=6.030, lr=0.000589, REAL it/s=27.40, Kt/s=7.010]
Epoch 0:   0%|          | 33/10080 [00:02<11:24, 14.68it/s, loss=6.030, lr=0.000588, REAL it/s=29.60, Kt/s=7.580]
Epoch 0:   0%|          | 34/10080 [00:02<11:14, 14.89it/s, loss=6.030, lr=0.000588, REAL it/s=29.60, Kt/s=7.580]
Epoch 0:   0%|          | 34/10080 [00:02<11:14, 14.89it/s, loss=6.030, lr=0.000587, REAL it/s=28.70, Kt/s=7.340]
Epoch 0:   0%|          | 35/10080 [00:02<11:04, 15.11it/s, loss=6.030, lr=0.000587, REAL it/s=28.70, Kt/s=7.340]
Epoch 0:   0%|          | 35/10080 [00:02<11:04, 15.11it/s, loss=6.030, lr=0.000586, REAL it/s=29.10, Kt/s=7.460]
Epoch 0:   0%|          | 36/10080 [00:02<10:55, 15.32it/s, loss=6.030, lr=0.000586, REAL it/s=29.10, Kt/s=7.460]
Epoch 0:   0%|          | 36/10080 [00:02<10:55, 15.32it/s, loss=6.030, lr=0.000584, REAL it/s=30.70, Kt/s=7.870]
Epoch 0:   0%|          | 37/10080 [00:02<10:45, 15.56it/s, loss=6.030, lr=0.000584, REAL it/s=30.70, Kt/s=7.870]
Epoch 0:   0%|          | 37/10080 [00:02<10:45, 15.56it/s, loss=6.030, lr=0.000583, REAL it/s=34.50, Kt/s=8.820]
Epoch 0:   0%|          | 38/10080 [00:02<10:37, 15.76it/s, loss=6.030, lr=0.000583, REAL it/s=34.50, Kt/s=8.820]
Epoch 0:   0%|          | 38/10080 [00:02<10:37, 15.76it/s, loss=6.030, lr=0.000582, REAL it/s=31.10, Kt/s=7.950]
Epoch 0:   0%|          | 39/10080 [00:02<10:29, 15.95it/s, loss=6.030, lr=0.000582, REAL it/s=31.10, Kt/s=7.950]
Epoch 0:   0%|          | 39/10080 [00:02<10:29, 15.94it/s, loss=6.030, lr=0.00058, REAL it/s=28.70, Kt/s=7.340] 
Epoch 0:   0%|          | 40/10080 [00:02<10:22, 16.12it/s, loss=6.030, lr=0.00058, REAL it/s=28.70, Kt/s=7.340]
Epoch 0:   0%|          | 40/10080 [00:02<10:22, 16.12it/s, loss=6.030, lr=0.000579, REAL it/s=28.20, Kt/s=7.220]
Epoch 0:   0%|          | 41/10080 [00:02<10:16, 16.29it/s, loss=6.030, lr=0.000579, REAL it/s=28.20, Kt/s=7.220]
Epoch 0:   0%|          | 41/10080 [00:02<10:16, 16.29it/s, loss=6.030, lr=0.000578, REAL it/s=28.40, Kt/s=7.260]
Epoch 0:   0%|          | 42/10080 [00:02<10:10, 16.45it/s, loss=6.030, lr=0.000578, REAL it/s=28.40, Kt/s=7.260]
Epoch 0:   0%|          | 42/10080 [00:02<10:10, 16.45it/s, loss=6.030, lr=0.000576, REAL it/s=27.30, Kt/s=6.990]
Epoch 0:   0%|          | 43/10080 [00:02<10:04, 16.61it/s, loss=6.030, lr=0.000576, REAL it/s=27.30, Kt/s=6.990]
Epoch 0:   0%|          | 43/10080 [00:02<10:04, 16.61it/s, loss=6.030, lr=0.000574, REAL it/s=28.00, Kt/s=7.160]
Epoch 0:   0%|          | 44/10080 [00:02<09:57, 16.79it/s, loss=6.030, lr=0.000574, REAL it/s=28.00, Kt/s=7.160]
Epoch 0:   0%|          | 44/10080 [00:02<09:57, 16.79it/s, loss=6.030, lr=0.000573, REAL it/s=31.40, Kt/s=8.040]
Epoch 0:   0%|          | 45/10080 [00:02<09:52, 16.94it/s, loss=6.030, lr=0.000573, REAL it/s=31.40, Kt/s=8.040]
Epoch 0:   0%|          | 45/10080 [00:02<09:52, 16.93it/s, loss=6.020, lr=0.000571, REAL it/s=27.60, Kt/s=7.070]
Epoch 0:   0%|          | 46/10080 [00:02<09:47, 17.09it/s, loss=6.020, lr=0.000571, REAL it/s=27.60, Kt/s=7.070]
Epoch 0:   0%|          | 46/10080 [00:02<09:47, 17.09it/s, loss=6.020, lr=0.00057, REAL it/s=28.10, Kt/s=7.190] 
Epoch 0:   0%|          | 47/10080 [00:02<09:42, 17.22it/s, loss=6.020, lr=0.00057, REAL it/s=28.10, Kt/s=7.190]
Epoch 0:   0%|          | 47/10080 [00:02<09:42, 17.22it/s, loss=6.020, lr=0.000568, REAL it/s=27.10, Kt/s=6.950]
Epoch 0:   0%|          | 48/10080 [00:02<09:37, 17.37it/s, loss=6.020, lr=0.000568, REAL it/s=27.10, Kt/s=6.950]
Epoch 0:   0%|          | 48/10080 [00:02<09:37, 17.37it/s, loss=6.020, lr=0.000566, REAL it/s=29.40, Kt/s=7.530]
Epoch 0:   0%|          | 49/10080 [00:02<09:32, 17.52it/s, loss=6.020, lr=0.000566, REAL it/s=29.40, Kt/s=7.530]
Epoch 0:   0%|          | 49/10080 [00:02<09:32, 17.52it/s, loss=6.020, lr=0.000564, REAL it/s=29.50, Kt/s=7.560]
Epoch 0:   0%|          | 50/10080 [00:02<09:27, 17.66it/s, loss=6.020, lr=0.000564, REAL it/s=29.50, Kt/s=7.560]
Epoch 0:   0%|          | 50/10080 [00:02<09:28, 17.66it/s, loss=6.020, lr=0.000562, REAL it/s=29.10, Kt/s=7.450]
Epoch 0:   1%|          | 51/10080 [00:02<09:23, 17.80it/s, loss=6.020, lr=0.000562, REAL it/s=29.10, Kt/s=7.450]
Epoch 0:   1%|          | 51/10080 [00:02<09:23, 17.79it/s, loss=6.020, lr=0.00056, REAL it/s=29.40, Kt/s=7.530] 
Epoch 0:   1%|          | 52/10080 [00:02<09:18, 17.94it/s, loss=6.020, lr=0.00056, REAL it/s=29.40, Kt/s=7.530]
Epoch 0:   1%|          | 52/10080 [00:02<09:18, 17.94it/s, loss=6.020, lr=0.000559, REAL it/s=30.60, Kt/s=7.830]
Epoch 0:   1%|          | 53/10080 [00:02<09:14, 18.07it/s, loss=6.020, lr=0.000559, REAL it/s=30.60, Kt/s=7.830]
Epoch 0:   1%|          | 53/10080 [00:02<09:14, 18.07it/s, loss=6.020, lr=0.000557, REAL it/s=29.20, Kt/s=7.470]
Epoch 0:   1%|          | 54/10080 [00:02<09:10, 18.20it/s, loss=6.020, lr=0.000557, REAL it/s=29.20, Kt/s=7.470]
Epoch 0:   1%|          | 54/10080 [00:02<09:11, 18.20it/s, loss=6.020, lr=0.000554, REAL it/s=28.50, Kt/s=7.300]
Epoch 0:   1%|          | 55/10080 [00:03<09:07, 18.31it/s, loss=6.020, lr=0.000554, REAL it/s=28.50, Kt/s=7.300]
Epoch 0:   1%|          | 55/10080 [00:03<09:07, 18.30it/s, loss=6.020, lr=0.000552, REAL it/s=27.10, Kt/s=6.940]
Epoch 0:   1%|          | 56/10080 [00:03<09:03, 18.44it/s, loss=6.020, lr=0.000552, REAL it/s=27.10, Kt/s=6.940]
Epoch 0:   1%|          | 56/10080 [00:03<09:03, 18.44it/s, loss=6.020, lr=0.00055, REAL it/s=30.40, Kt/s=7.780] 
Epoch 0:   1%|          | 57/10080 [00:03<08:59, 18.56it/s, loss=6.020, lr=0.00055, REAL it/s=30.40, Kt/s=7.780]
Epoch 0:   1%|          | 57/10080 [00:03<08:59, 18.56it/s, loss=6.020, lr=0.000548, REAL it/s=30.30, Kt/s=7.760]
Epoch 0:   1%|          | 58/10080 [00:03<08:55, 18.70it/s, loss=6.020, lr=0.000548, REAL it/s=30.30, Kt/s=7.760]
Epoch 0:   1%|          | 58/10080 [00:03<08:55, 18.70it/s, loss=6.020, lr=0.000546, REAL it/s=32.40, Kt/s=8.280]
Epoch 0:   1%|          | 59/10080 [00:03<08:52, 18.84it/s, loss=6.020, lr=0.000546, REAL it/s=32.40, Kt/s=8.280]
Epoch 0:   1%|          | 59/10080 [00:03<08:52, 18.83it/s, loss=6.020, lr=0.000544, REAL it/s=32.00, Kt/s=8.190]
Epoch 0:   1%|          | 60/10080 [00:03<08:49, 18.94it/s, loss=6.020, lr=0.000544, REAL it/s=32.00, Kt/s=8.190]
Epoch 0:   1%|          | 60/10080 [00:03<08:49, 18.93it/s, loss=6.020, lr=0.000541, REAL it/s=27.80, Kt/s=7.110]
Epoch 0:   1%|          | 61/10080 [00:03<08:45, 19.07it/s, loss=6.020, lr=0.000541, REAL it/s=27.80, Kt/s=7.110]
Epoch 0:   1%|          | 61/10080 [00:03<08:45, 19.06it/s, loss=6.020, lr=0.000539, REAL it/s=31.90, Kt/s=8.170]
Epoch 0:   1%|          | 62/10080 [00:03<08:41, 19.21it/s, loss=6.020, lr=0.000539, REAL it/s=31.90, Kt/s=8.170]
Epoch 0:   1%|          | 62/10080 [00:03<08:41, 19.20it/s, loss=6.020, lr=0.000537, REAL it/s=35.20, Kt/s=9.000]
Epoch 0:   1%|          | 63/10080 [00:03<08:37, 19.35it/s, loss=6.020, lr=0.000537, REAL it/s=35.20, Kt/s=9.000]
Epoch 0:   1%|          | 63/10080 [00:03<08:37, 19.35it/s, loss=6.020, lr=0.000534, REAL it/s=36.50, Kt/s=9.350]
Epoch 0:   1%|          | 64/10080 [00:03<08:33, 19.51it/s, loss=6.020, lr=0.000534, REAL it/s=36.50, Kt/s=9.350]
Epoch 0:   1%|          | 64/10080 [00:03<08:33, 19.51it/s, loss=6.020, lr=0.000532, REAL it/s=39.50, Kt/s=10.10]
Epoch 0:   1%|          | 65/10080 [00:03<08:29, 19.65it/s, loss=6.020, lr=0.000532, REAL it/s=39.50, Kt/s=10.10]
Epoch 0:   1%|          | 65/10080 [00:03<08:29, 19.64it/s, loss=6.020, lr=0.000529, REAL it/s=35.50, Kt/s=9.080]
Epoch 0:   1%|          | 66/10080 [00:03<08:26, 19.77it/s, loss=6.020, lr=0.000529, REAL it/s=35.50, Kt/s=9.080]
Epoch 0:   1%|          | 66/10080 [00:03<08:26, 19.77it/s, loss=6.020, lr=0.000527, REAL it/s=35.00, Kt/s=8.960]
Epoch 0:   1%|          | 67/10080 [00:03<08:23, 19.90it/s, loss=6.020, lr=0.000527, REAL it/s=35.00, Kt/s=8.960]
Epoch 0:   1%|          | 67/10080 [00:03<08:23, 19.89it/s, loss=6.010, lr=0.000524, REAL it/s=33.30, Kt/s=8.520]
Epoch 0:   1%|          | 68/10080 [00:03<08:20, 20.01it/s, loss=6.010, lr=0.000524, REAL it/s=33.30, Kt/s=8.520]
Epoch 0:   1%|          | 68/10080 [00:03<08:20, 20.01it/s, loss=6.010, lr=0.000522, REAL it/s=33.20, Kt/s=8.500]
Epoch 0:   1%|          | 69/10080 [00:03<08:16, 20.15it/s, loss=6.010, lr=0.000522, REAL it/s=33.20, Kt/s=8.500]
Epoch 0:   1%|          | 69/10080 [00:03<08:16, 20.15it/s, loss=6.010, lr=0.000519, REAL it/s=37.10, Kt/s=9.480]
Epoch 0:   1%|          | 70/10080 [00:03<08:13, 20.27it/s, loss=6.010, lr=0.000519, REAL it/s=37.10, Kt/s=9.480]
Epoch 0:   1%|          | 70/10080 [00:03<08:13, 20.27it/s, loss=6.010, lr=0.000516, REAL it/s=35.40, Kt/s=9.070]
Epoch 0:   1%|          | 71/10080 [00:03<08:10, 20.41it/s, loss=6.010, lr=0.000516, REAL it/s=35.40, Kt/s=9.070]
Epoch 0:   1%|          | 71/10080 [00:03<08:10, 20.41it/s, loss=6.010, lr=0.000514, REAL it/s=37.80, Kt/s=9.660]
Epoch 0:   1%|          | 72/10080 [00:03<08:07, 20.51it/s, loss=6.010, lr=0.000514, REAL it/s=37.80, Kt/s=9.660]
Epoch 0:   1%|          | 72/10080 [00:03<08:07, 20.51it/s, loss=6.010, lr=0.000511, REAL it/s=32.00, Kt/s=8.200]
Epoch 0:   1%|          | 73/10080 [00:03<08:05, 20.63it/s, loss=6.010, lr=0.000511, REAL it/s=32.00, Kt/s=8.200]
Epoch 0:   1%|          | 73/10080 [00:03<08:05, 20.63it/s, loss=6.010, lr=0.000508, REAL it/s=34.80, Kt/s=8.900]
Epoch 0:   1%|          | 74/10080 [00:03<08:02, 20.74it/s, loss=6.010, lr=0.000508, REAL it/s=34.80, Kt/s=8.900]
Epoch 0:   1%|          | 74/10080 [00:03<08:02, 20.74it/s, loss=6.010, lr=0.000505, REAL it/s=34.20, Kt/s=8.760]
Epoch 0:   1%|          | 75/10080 [00:03<07:59, 20.84it/s, loss=6.010, lr=0.000505, REAL it/s=34.20, Kt/s=8.760]
Epoch 0:   1%|          | 75/10080 [00:03<08:00, 20.84it/s, loss=6.010, lr=0.000502, REAL it/s=33.70, Kt/s=8.630]
Epoch 0:   1%|          | 76/10080 [00:03<07:57, 20.95it/s, loss=6.010, lr=0.000502, REAL it/s=33.70, Kt/s=8.630]
Epoch 0:   1%|          | 76/10080 [00:03<07:57, 20.95it/s, loss=6.010, lr=0.0005, REAL it/s=33.50, Kt/s=8.580]  
Epoch 0:   1%|          | 77/10080 [00:03<07:55, 21.04it/s, loss=6.010, lr=0.0005, REAL it/s=33.50, Kt/s=8.580]
Epoch 0:   1%|          | 77/10080 [00:03<07:55, 21.04it/s, loss=6.010, lr=0.000497, REAL it/s=31.90, Kt/s=8.160]
Epoch 0:   1%|          | 78/10080 [00:03<07:52, 21.15it/s, loss=6.010, lr=0.000497, REAL it/s=31.90, Kt/s=8.160]
Epoch 0:   1%|          | 78/10080 [00:03<07:53, 21.15it/s, loss=6.010, lr=0.000494, REAL it/s=34.20, Kt/s=8.770]
Epoch 0:   1%|          | 79/10080 [00:03<07:50, 21.25it/s, loss=6.010, lr=0.000494, REAL it/s=34.20, Kt/s=8.770]
Epoch 0:   1%|          | 79/10080 [00:03<07:50, 21.25it/s, loss=6.010, lr=0.000491, REAL it/s=34.50, Kt/s=8.830]
Epoch 0:   1%|          | 80/10080 [00:03<07:48, 21.36it/s, loss=6.010, lr=0.000491, REAL it/s=34.50, Kt/s=8.830]
Epoch 0:   1%|          | 80/10080 [00:03<07:48, 21.36it/s, loss=6.010, lr=0.000488, REAL it/s=35.20, Kt/s=9.020]
Epoch 0:   1%|          | 81/10080 [00:03<07:45, 21.46it/s, loss=6.010, lr=0.000488, REAL it/s=35.20, Kt/s=9.020]
Epoch 0:   1%|          | 81/10080 [00:03<07:45, 21.46it/s, loss=6.010, lr=0.000485, REAL it/s=35.80, Kt/s=9.160]
Epoch 0:   1%|          | 82/10080 [00:03<07:43, 21.56it/s, loss=6.010, lr=0.000485, REAL it/s=35.80, Kt/s=9.160]
Epoch 0:   1%|          | 82/10080 [00:03<07:43, 21.56it/s, loss=6.010, lr=0.000482, REAL it/s=33.60, Kt/s=8.590]
Epoch 0:   1%|          | 83/10080 [00:03<07:41, 21.66it/s, loss=6.010, lr=0.000482, REAL it/s=33.60, Kt/s=8.590]
Epoch 0:   1%|          | 83/10080 [00:03<07:41, 21.65it/s, loss=6.010, lr=0.000478, REAL it/s=34.30, Kt/s=8.790]
Epoch 0:   1%|          | 84/10080 [00:03<07:39, 21.75it/s, loss=6.010, lr=0.000478, REAL it/s=34.30, Kt/s=8.790]
Epoch 0:   1%|          | 84/10080 [00:03<07:39, 21.75it/s, loss=6.010, lr=0.000475, REAL it/s=34.40, Kt/s=8.800]
Epoch 0:   1%|          | 85/10080 [00:03<07:38, 21.82it/s, loss=6.010, lr=0.000475, REAL it/s=34.40, Kt/s=8.800]
Epoch 0:   1%|          | 85/10080 [00:03<07:38, 21.82it/s, loss=6.010, lr=0.000472, REAL it/s=30.40, Kt/s=7.780]
Epoch 0:   1%|          | 86/10080 [00:03<07:36, 21.89it/s, loss=6.010, lr=0.000472, REAL it/s=30.40, Kt/s=7.780]
Epoch 0:   1%|          | 86/10080 [00:03<07:36, 21.89it/s, loss=6.010, lr=0.000469, REAL it/s=29.30, Kt/s=7.510]
Epoch 0:   1%|          | 87/10080 [00:03<07:35, 21.94it/s, loss=6.010, lr=0.000469, REAL it/s=29.30, Kt/s=7.510]
Epoch 0:   1%|          | 87/10080 [00:03<07:35, 21.94it/s, loss=6.010, lr=0.000466, REAL it/s=27.50, Kt/s=7.030]
Epoch 0:   1%|          | 88/10080 [00:04<07:34, 22.00it/s, loss=6.010, lr=0.000466, REAL it/s=27.50, Kt/s=7.030]
Epoch 0:   1%|          | 88/10080 [00:04<07:34, 21.99it/s, loss=6.010, lr=0.000462, REAL it/s=28.50, Kt/s=7.290]
Epoch 0:   1%|          | 89/10080 [00:04<07:32, 22.06it/s, loss=6.010, lr=0.000462, REAL it/s=28.50, Kt/s=7.290]
Epoch 0:   1%|          | 89/10080 [00:04<07:32, 22.06it/s, loss=6.010, lr=0.000459, REAL it/s=29.90, Kt/s=7.650]
Epoch 0:   1%|          | 90/10080 [00:04<07:31, 22.11it/s, loss=6.010, lr=0.000459, REAL it/s=29.90, Kt/s=7.650]
Epoch 0:   1%|          | 90/10080 [00:04<07:31, 22.11it/s, loss=6.010, lr=0.000456, REAL it/s=27.20, Kt/s=6.960]
Epoch 0:   1%|          | 91/10080 [00:04<07:30, 22.17it/s, loss=6.010, lr=0.000456, REAL it/s=27.20, Kt/s=6.960]
Epoch 0:   1%|          | 91/10080 [00:04<07:30, 22.16it/s, loss=6.010, lr=0.000453, REAL it/s=29.10, Kt/s=7.440]
Epoch 0:   1%|          | 92/10080 [00:04<07:29, 22.21it/s, loss=6.010, lr=0.000453, REAL it/s=29.10, Kt/s=7.440]
Epoch 0:   1%|          | 92/10080 [00:04<07:29, 22.21it/s, loss=6.010, lr=0.000449, REAL it/s=27.50, Kt/s=7.040]
Epoch 0:   1%|          | 93/10080 [00:04<07:28, 22.27it/s, loss=6.010, lr=0.000449, REAL it/s=27.50, Kt/s=7.040]
Epoch 0:   1%|          | 93/10080 [00:04<07:28, 22.27it/s, loss=6.010, lr=0.000446, REAL it/s=29.90, Kt/s=7.660]
Epoch 0:   1%|          | 94/10080 [00:04<07:27, 22.33it/s, loss=6.010, lr=0.000446, REAL it/s=29.90, Kt/s=7.660]
Epoch 0:   1%|          | 94/10080 [00:04<07:27, 22.33it/s, loss=6.010, lr=0.000442, REAL it/s=29.50, Kt/s=7.550]
Epoch 0:   1%|          | 95/10080 [00:04<07:25, 22.39it/s, loss=6.010, lr=0.000442, REAL it/s=29.50, Kt/s=7.550]
Epoch 0:   1%|          | 95/10080 [00:04<07:25, 22.39it/s, loss=6.010, lr=0.000439, REAL it/s=29.90, Kt/s=7.650]
Epoch 0:   1%|          | 96/10080 [00:04<07:24, 22.45it/s, loss=6.010, lr=0.000439, REAL it/s=29.90, Kt/s=7.650]
Epoch 0:   1%|          | 96/10080 [00:04<07:24, 22.45it/s, loss=6.010, lr=0.000435, REAL it/s=29.70, Kt/s=7.610]
Epoch 0:   1%|          | 97/10080 [00:04<07:24, 22.47it/s, loss=6.010, lr=0.000435, REAL it/s=29.70, Kt/s=7.610]
Epoch 0:   1%|          | 97/10080 [00:04<07:24, 22.47it/s, loss=6.010, lr=0.000432, REAL it/s=24.80, Kt/s=6.340]
Epoch 0:   1%|          | 98/10080 [00:04<07:22, 22.54it/s, loss=6.010, lr=0.000432, REAL it/s=24.80, Kt/s=6.340]
Epoch 0:   1%|          | 98/10080 [00:04<07:22, 22.54it/s, loss=6.000, lr=0.000429, REAL it/s=31.30, Kt/s=8.020]
Epoch 0:   1%|          | 99/10080 [00:04<07:21, 22.58it/s, loss=6.000, lr=0.000429, REAL it/s=31.30, Kt/s=8.020]
Epoch 0:   1%|          | 99/10080 [00:04<07:21, 22.58it/s, loss=6.000, lr=0.000425, REAL it/s=28.30, Kt/s=7.230]
Epoch 0:   1%|          | 100/10080 [00:04<07:21, 22.63it/s, loss=6.000, lr=0.000425, REAL it/s=28.30, Kt/s=7.230]
Epoch 0:   1%|          | 100/10080 [00:04<07:21, 22.63it/s, loss=6.000, lr=0.000421, REAL it/s=28.00, Kt/s=7.170]
Epoch 0:   1%|          | 101/10080 [00:04<07:20, 22.67it/s, loss=6.000, lr=0.000421, REAL it/s=28.00, Kt/s=7.170]
Epoch 0:   1%|          | 101/10080 [00:04<07:20, 22.66it/s, loss=6.000, lr=0.000418, REAL it/s=27.50, Kt/s=7.030]
Epoch 0:   1%|          | 102/10080 [00:04<07:19, 22.72it/s, loss=6.000, lr=0.000418, REAL it/s=27.50, Kt/s=7.030]
Epoch 0:   1%|          | 102/10080 [00:04<07:19, 22.72it/s, loss=6.000, lr=0.000414, REAL it/s=30.20, Kt/s=7.720]
Epoch 0:   1%|          | 103/10080 [00:04<07:18, 22.77it/s, loss=6.000, lr=0.000414, REAL it/s=30.20, Kt/s=7.720]
Epoch 0:   1%|          | 103/10080 [00:04<07:18, 22.77it/s, loss=6.000, lr=0.000411, REAL it/s=29.00, Kt/s=7.430]
Epoch 0:   1%|          | 104/10080 [00:04<07:17, 22.82it/s, loss=6.000, lr=0.000411, REAL it/s=29.00, Kt/s=7.430]
Epoch 0:   1%|          | 104/10080 [00:04<07:17, 22.82it/s, loss=6.000, lr=0.000407, REAL it/s=29.70, Kt/s=7.600]
Epoch 0:   1%|          | 105/10080 [00:04<07:15, 22.91it/s, loss=6.000, lr=0.000407, REAL it/s=29.70, Kt/s=7.600]
Epoch 0:   1%|          | 105/10080 [00:04<07:15, 22.91it/s, loss=6.000, lr=0.000403, REAL it/s=38.20, Kt/s=9.780]
Epoch 0:   1%|          | 106/10080 [00:04<07:13, 22.98it/s, loss=6.000, lr=0.000403, REAL it/s=38.20, Kt/s=9.780]
Epoch 0:   1%|          | 106/10080 [00:04<07:13, 22.98it/s, loss=6.000, lr=0.0004, REAL it/s=34.30, Kt/s=8.780]  
Epoch 0:   1%|          | 107/10080 [00:04<07:12, 23.04it/s, loss=6.000, lr=0.0004, REAL it/s=34.30, Kt/s=8.780]
Epoch 0:   1%|          | 107/10080 [00:04<07:12, 23.04it/s, loss=6.000, lr=0.000396, REAL it/s=32.10, Kt/s=8.220]
Epoch 0:   1%|          | 108/10080 [00:04<07:11, 23.11it/s, loss=6.000, lr=0.000396, REAL it/s=32.10, Kt/s=8.220]
Epoch 0:   1%|          | 108/10080 [00:04<07:11, 23.11it/s, loss=6.000, lr=0.000392, REAL it/s=34.20, Kt/s=8.760]
Epoch 0:   1%|          | 109/10080 [00:04<07:10, 23.18it/s, loss=6.000, lr=0.000392, REAL it/s=34.20, Kt/s=8.760]
Epoch 0:   1%|          | 109/10080 [00:04<07:10, 23.18it/s, loss=6.000, lr=0.000389, REAL it/s=34.40, Kt/s=8.810]
Epoch 0:   1%|          | 110/10080 [00:04<07:08, 23.25it/s, loss=6.000, lr=0.000389, REAL it/s=34.40, Kt/s=8.810]
Epoch 0:   1%|          | 110/10080 [00:04<07:08, 23.25it/s, loss=6.000, lr=0.000385, REAL it/s=33.20, Kt/s=8.500]
Epoch 0:   1%|          | 111/10080 [00:04<07:07, 23.31it/s, loss=6.000, lr=0.000385, REAL it/s=33.20, Kt/s=8.500]
Epoch 0:   1%|          | 111/10080 [00:04<07:07, 23.31it/s, loss=6.000, lr=0.000381, REAL it/s=34.20, Kt/s=8.760]
Epoch 0:   1%|          | 112/10080 [00:04<07:06, 23.37it/s, loss=6.000, lr=0.000381, REAL it/s=34.20, Kt/s=8.760]
Epoch 0:   1%|          | 112/10080 [00:04<07:06, 23.37it/s, loss=6.000, lr=0.000378, REAL it/s=32.70, Kt/s=8.360]
Epoch 0:   1%|          | 113/10080 [00:04<07:05, 23.44it/s, loss=6.000, lr=0.000378, REAL it/s=32.70, Kt/s=8.360]
Epoch 0:   1%|          | 113/10080 [00:04<07:05, 23.44it/s, loss=6.000, lr=0.000374, REAL it/s=34.30, Kt/s=8.780]
Epoch 0:   1%|          | 114/10080 [00:04<07:04, 23.50it/s, loss=6.000, lr=0.000374, REAL it/s=34.30, Kt/s=8.780]
Epoch 0:   1%|          | 114/10080 [00:04<07:04, 23.50it/s, loss=6.000, lr=0.00037, REAL it/s=32.20, Kt/s=8.240] 
Epoch 0:   1%|          | 115/10080 [00:04<07:03, 23.55it/s, loss=6.000, lr=0.00037, REAL it/s=32.20, Kt/s=8.240]
Epoch 0:   1%|          | 115/10080 [00:04<07:03, 23.55it/s, loss=6.000, lr=0.000366, REAL it/s=32.20, Kt/s=8.240]
Epoch 0:   1%|          | 116/10080 [00:04<07:01, 23.62it/s, loss=6.000, lr=0.000366, REAL it/s=32.20, Kt/s=8.240]
Epoch 0:   1%|          | 116/10080 [00:04<07:01, 23.61it/s, loss=6.000, lr=0.000363, REAL it/s=34.20, Kt/s=8.750]
Epoch 0:   1%|          | 117/10080 [00:04<07:00, 23.67it/s, loss=6.000, lr=0.000363, REAL it/s=34.20, Kt/s=8.750]
Epoch 0:   1%|          | 117/10080 [00:04<07:00, 23.67it/s, loss=6.000, lr=0.000359, REAL it/s=32.10, Kt/s=8.220]
Epoch 0:   1%|          | 118/10080 [00:04<06:59, 23.73it/s, loss=6.000, lr=0.000359, REAL it/s=32.10, Kt/s=8.220]
Epoch 0:   1%|          | 118/10080 [00:04<06:59, 23.73it/s, loss=6.000, lr=0.000355, REAL it/s=34.30, Kt/s=8.770]
Epoch 0:   1%|          | 119/10080 [00:05<06:58, 23.78it/s, loss=6.000, lr=0.000355, REAL it/s=34.30, Kt/s=8.770]
Epoch 0:   1%|          | 119/10080 [00:05<06:58, 23.78it/s, loss=6.000, lr=0.000351, REAL it/s=32.10, Kt/s=8.210]
Epoch 0:   1%|          | 120/10080 [00:05<06:57, 23.83it/s, loss=6.000, lr=0.000351, REAL it/s=32.10, Kt/s=8.210]
Epoch 0:   1%|          | 120/10080 [00:05<06:57, 23.83it/s, loss=6.000, lr=0.000347, REAL it/s=32.20, Kt/s=8.230]
Epoch 0:   1%|          | 121/10080 [00:05<06:56, 23.89it/s, loss=6.000, lr=0.000347, REAL it/s=32.20, Kt/s=8.230]
Epoch 0:   1%|          | 121/10080 [00:05<06:56, 23.89it/s, loss=6.000, lr=0.000344, REAL it/s=34.00, Kt/s=8.710]
Epoch 0:   1%|          | 122/10080 [00:05<06:55, 23.94it/s, loss=6.000, lr=0.000344, REAL it/s=34.00, Kt/s=8.710]
Epoch 0:   1%|          | 122/10080 [00:05<06:55, 23.94it/s, loss=6.000, lr=0.00034, REAL it/s=32.30, Kt/s=8.260] 
Epoch 0:   1%|          | 123/10080 [00:05<06:54, 24.00it/s, loss=6.000, lr=0.00034, REAL it/s=32.30, Kt/s=8.260]
Epoch 0:   1%|          | 123/10080 [00:05<06:54, 24.00it/s, loss=6.000, lr=0.000336, REAL it/s=34.00, Kt/s=8.720]
Epoch 0:   1%|          | 124/10080 [00:05<06:53, 24.05it/s, loss=6.000, lr=0.000336, REAL it/s=34.00, Kt/s=8.720]
Epoch 0:   1%|          | 124/10080 [00:05<06:53, 24.05it/s, loss=6.000, lr=0.000332, REAL it/s=32.20, Kt/s=8.240]
Epoch 0:   1%|          | 125/10080 [00:05<06:53, 24.09it/s, loss=6.000, lr=0.000332, REAL it/s=32.20, Kt/s=8.240]
Epoch 0:   1%|          | 125/10080 [00:05<06:53, 24.08it/s, loss=6.000, lr=0.000328, REAL it/s=29.50, Kt/s=7.540]
Epoch 0:   1%|▏         | 126/10080 [00:05<06:52, 24.12it/s, loss=6.000, lr=0.000328, REAL it/s=29.50, Kt/s=7.540]
Epoch 0:   1%|▏         | 126/10080 [00:05<06:52, 24.12it/s, loss=6.000, lr=0.000324, REAL it/s=29.20, Kt/s=7.470]
Epoch 0:   1%|▏         | 127/10080 [00:05<06:52, 24.16it/s, loss=6.000, lr=0.000324, REAL it/s=29.20, Kt/s=7.470]
Epoch 0:   1%|▏         | 127/10080 [00:05<06:52, 24.16it/s, loss=6.000, lr=0.00032, REAL it/s=30.10, Kt/s=7.690] 
Epoch 0:   1%|▏         | 128/10080 [00:05<06:51, 24.20it/s, loss=6.000, lr=0.00032, REAL it/s=30.10, Kt/s=7.690]
Epoch 0:   1%|▏         | 128/10080 [00:05<06:51, 24.20it/s, loss=6.000, lr=0.000317, REAL it/s=31.50, Kt/s=8.080]
Epoch 0:   1%|▏         | 129/10080 [00:05<06:50, 24.25it/s, loss=6.000, lr=0.000317, REAL it/s=31.50, Kt/s=8.080]
Epoch 0:   1%|▏         | 129/10080 [00:05<06:50, 24.24it/s, loss=6.000, lr=0.000313, REAL it/s=31.40, Kt/s=8.040]
Epoch 0:   1%|▏         | 130/10080 [00:05<06:49, 24.29it/s, loss=6.000, lr=0.000313, REAL it/s=31.40, Kt/s=8.040]
Epoch 0:   1%|▏         | 130/10080 [00:05<06:49, 24.29it/s, loss=6.000, lr=0.000309, REAL it/s=31.10, Kt/s=7.960]
Epoch 0:   1%|▏         | 131/10080 [00:05<06:48, 24.33it/s, loss=6.000, lr=0.000309, REAL it/s=31.10, Kt/s=7.960]
Epoch 0:   1%|▏         | 131/10080 [00:05<06:48, 24.33it/s, loss=6.000, lr=0.000305, REAL it/s=32.10, Kt/s=8.210]
Epoch 0:   1%|▏         | 132/10080 [00:05<06:48, 24.36it/s, loss=6.000, lr=0.000305, REAL it/s=32.10, Kt/s=8.210]
Epoch 0:   1%|▏         | 132/10080 [00:05<06:48, 24.35it/s, loss=6.000, lr=0.000301, REAL it/s=28.30, Kt/s=7.260]
Epoch 0:   1%|▏         | 133/10080 [00:05<06:47, 24.39it/s, loss=6.000, lr=0.000301, REAL it/s=28.30, Kt/s=7.260]
Epoch 0:   1%|▏         | 133/10080 [00:05<06:47, 24.39it/s, loss=6.000, lr=0.000297, REAL it/s=30.40, Kt/s=7.790]
Epoch 0:   1%|▏         | 134/10080 [00:05<06:47, 24.43it/s, loss=6.000, lr=0.000297, REAL it/s=30.40, Kt/s=7.790]
Epoch 0:   1%|▏         | 134/10080 [00:05<06:47, 24.42it/s, loss=6.000, lr=0.000293, REAL it/s=29.80, Kt/s=7.630]
Epoch 0:   1%|▏         | 135/10080 [00:05<06:46, 24.45it/s, loss=6.000, lr=0.000293, REAL it/s=29.80, Kt/s=7.630]
Epoch 0:   1%|▏         | 135/10080 [00:05<06:46, 24.45it/s, loss=6.000, lr=0.00029, REAL it/s=28.90, Kt/s=7.400] 
Epoch 0:   1%|▏         | 136/10080 [00:05<06:45, 24.50it/s, loss=6.000, lr=0.00029, REAL it/s=28.90, Kt/s=7.400]
Epoch 0:   1%|▏         | 136/10080 [00:05<06:45, 24.50it/s, loss=6.000, lr=0.000286, REAL it/s=32.00, Kt/s=8.200]
Epoch 0:   1%|▏         | 137/10080 [00:05<06:44, 24.57it/s, loss=6.000, lr=0.000286, REAL it/s=32.00, Kt/s=8.200]
Epoch 0:   1%|▏         | 137/10080 [00:05<06:44, 24.57it/s, loss=6.000, lr=0.000282, REAL it/s=39.50, Kt/s=10.10]
Epoch 0:   1%|▏         | 138/10080 [00:05<06:43, 24.62it/s, loss=6.000, lr=0.000282, REAL it/s=39.50, Kt/s=10.10]
Epoch 0:   1%|▏         | 138/10080 [00:05<06:43, 24.62it/s, loss=6.000, lr=0.000278, REAL it/s=34.20, Kt/s=8.760]
Epoch 0:   1%|▏         | 139/10080 [00:05<06:42, 24.68it/s, loss=6.000, lr=0.000278, REAL it/s=34.20, Kt/s=8.760]
Epoch 0:   1%|▏         | 139/10080 [00:05<06:42, 24.68it/s, loss=6.000, lr=0.000274, REAL it/s=39.20, Kt/s=10.00]
Epoch 0:   1%|▏         | 140/10080 [00:05<06:41, 24.73it/s, loss=6.000, lr=0.000274, REAL it/s=39.20, Kt/s=10.00]
Epoch 0:   1%|▏         | 140/10080 [00:05<06:41, 24.73it/s, loss=6.000, lr=0.00027, REAL it/s=34.40, Kt/s=8.810] 
Epoch 0:   1%|▏         | 141/10080 [00:05<06:40, 24.80it/s, loss=6.000, lr=0.00027, REAL it/s=34.40, Kt/s=8.810]
Epoch 0:   1%|▏         | 141/10080 [00:05<06:40, 24.79it/s, loss=6.000, lr=0.000266, REAL it/s=38.40, Kt/s=9.830]
Epoch 0:   1%|▏         | 142/10080 [00:05<06:40, 24.84it/s, loss=6.000, lr=0.000266, REAL it/s=38.40, Kt/s=9.830]
Epoch 0:   1%|▏         | 142/10080 [00:05<06:40, 24.84it/s, loss=6.000, lr=0.000263, REAL it/s=32.40, Kt/s=8.280]
Epoch 0:   1%|▏         | 143/10080 [00:05<06:39, 24.89it/s, loss=6.000, lr=0.000263, REAL it/s=32.40, Kt/s=8.280]
Epoch 0:   1%|▏         | 143/10080 [00:05<06:39, 24.89it/s, loss=6.000, lr=0.000259, REAL it/s=35.20, Kt/s=9.010]
Epoch 0:   1%|▏         | 144/10080 [00:05<06:38, 24.93it/s, loss=6.000, lr=0.000259, REAL it/s=35.20, Kt/s=9.010]
Epoch 0:   1%|▏         | 144/10080 [00:05<06:38, 24.93it/s, loss=6.000, lr=0.000255, REAL it/s=34.30, Kt/s=8.780]
Epoch 0:   1%|▏         | 145/10080 [00:05<06:38, 24.94it/s, loss=6.000, lr=0.000255, REAL it/s=34.30, Kt/s=8.780]
Epoch 0:   1%|▏         | 145/10080 [00:05<06:38, 24.94it/s, loss=6.000, lr=0.000251, REAL it/s=26.20, Kt/s=6.720]
Epoch 0:   1%|▏         | 146/10080 [00:05<06:37, 24.97it/s, loss=6.000, lr=0.000251, REAL it/s=26.20, Kt/s=6.720]
Epoch 0:   1%|▏         | 146/10080 [00:05<06:37, 24.97it/s, loss=6.000, lr=0.000247, REAL it/s=29.90, Kt/s=7.640]
Epoch 0:   1%|▏         | 147/10080 [00:05<06:37, 25.00it/s, loss=6.000, lr=0.000247, REAL it/s=29.90, Kt/s=7.640]
Epoch 0:   1%|▏         | 147/10080 [00:05<06:37, 25.00it/s, loss=6.000, lr=0.000244, REAL it/s=30.00, Kt/s=7.690]
Epoch 0:   1%|▏         | 148/10080 [00:05<06:36, 25.03it/s, loss=6.000, lr=0.000244, REAL it/s=30.00, Kt/s=7.690]
Epoch 0:   1%|▏         | 148/10080 [00:05<06:36, 25.03it/s, loss=6.000, lr=0.00024, REAL it/s=30.60, Kt/s=7.830] 
Epoch 0:   1%|▏         | 149/10080 [00:05<06:36, 25.05it/s, loss=6.000, lr=0.00024, REAL it/s=30.60, Kt/s=7.830]
Epoch 0:   1%|▏         | 149/10080 [00:05<06:36, 25.05it/s, loss=6.000, lr=0.000236, REAL it/s=29.10, Kt/s=7.460]
Epoch 0:   1%|▏         | 150/10080 [00:05<06:36, 25.07it/s, loss=6.000, lr=0.000236, REAL it/s=29.10, Kt/s=7.460]
Epoch 0:   1%|▏         | 150/10080 [00:05<06:36, 25.07it/s, loss=6.000, lr=0.000232, REAL it/s=27.70, Kt/s=7.090]
Epoch 0:   1%|▏         | 151/10080 [00:06<06:35, 25.10it/s, loss=6.000, lr=0.000232, REAL it/s=27.70, Kt/s=7.090]
Epoch 0:   1%|▏         | 151/10080 [00:06<06:35, 25.10it/s, loss=6.000, lr=0.000229, REAL it/s=29.80, Kt/s=7.620]
Epoch 0:   2%|▏         | 152/10080 [00:06<06:35, 25.12it/s, loss=6.000, lr=0.000229, REAL it/s=29.80, Kt/s=7.620]
Epoch 0:   2%|▏         | 152/10080 [00:06<06:35, 25.12it/s, loss=6.000, lr=0.000225, REAL it/s=29.50, Kt/s=7.540]
Epoch 0:   2%|▏         | 153/10080 [00:06<06:34, 25.16it/s, loss=6.000, lr=0.000225, REAL it/s=29.50, Kt/s=7.540]
Epoch 0:   2%|▏         | 153/10080 [00:06<06:34, 25.16it/s, loss=5.990, lr=0.000221, REAL it/s=32.80, Kt/s=8.390]
Epoch 0:   2%|▏         | 154/10080 [00:06<06:34, 25.19it/s, loss=5.990, lr=0.000221, REAL it/s=32.80, Kt/s=8.390]
Epoch 0:   2%|▏         | 154/10080 [00:06<06:34, 25.19it/s, loss=5.990, lr=0.000218, REAL it/s=30.50, Kt/s=7.810]
Epoch 0:   2%|▏         | 155/10080 [00:06<06:34, 25.19it/s, loss=5.990, lr=0.000218, REAL it/s=30.50, Kt/s=7.810]
Epoch 0:   2%|▏         | 155/10080 [00:06<06:34, 25.19it/s, loss=5.990, lr=0.000214, REAL it/s=25.50, Kt/s=6.530]
Epoch 0:   2%|▏         | 156/10080 [00:06<06:33, 25.21it/s, loss=5.990, lr=0.000214, REAL it/s=25.50, Kt/s=6.530]
Epoch 0:   2%|▏         | 156/10080 [00:06<06:33, 25.21it/s, loss=5.990, lr=0.00021, REAL it/s=29.60, Kt/s=7.570] 
Epoch 0:   2%|▏         | 157/10080 [00:06<06:33, 25.24it/s, loss=5.990, lr=0.00021, REAL it/s=29.60, Kt/s=7.570]
Epoch 0:   2%|▏         | 157/10080 [00:06<06:33, 25.23it/s, loss=5.990, lr=0.000207, REAL it/s=29.40, Kt/s=7.520]
Epoch 0:   2%|▏         | 158/10080 [00:06<06:32, 25.25it/s, loss=5.990, lr=0.000207, REAL it/s=29.40, Kt/s=7.520]
Epoch 0:   2%|▏         | 158/10080 [00:06<06:32, 25.25it/s, loss=5.990, lr=0.000203, REAL it/s=28.40, Kt/s=7.280]
Epoch 0:   2%|▏         | 159/10080 [00:06<06:32, 25.27it/s, loss=5.990, lr=0.000203, REAL it/s=28.40, Kt/s=7.280]
Epoch 0:   2%|▏         | 159/10080 [00:06<06:32, 25.27it/s, loss=5.990, lr=0.000199, REAL it/s=28.90, Kt/s=7.400]
Epoch 0:   2%|▏         | 160/10080 [00:06<06:32, 25.27it/s, loss=5.990, lr=0.000199, REAL it/s=28.90, Kt/s=7.400]
Epoch 0:   2%|▏         | 160/10080 [00:06<06:32, 25.27it/s, loss=5.990, lr=0.000196, REAL it/s=24.60, Kt/s=6.300]
Epoch 0:   2%|▏         | 161/10080 [00:06<06:32, 25.29it/s, loss=5.990, lr=0.000196, REAL it/s=24.60, Kt/s=6.300]
Epoch 0:   2%|▏         | 161/10080 [00:06<06:32, 25.29it/s, loss=5.990, lr=0.000192, REAL it/s=30.00, Kt/s=7.680]
Epoch 0:   2%|▏         | 162/10080 [00:06<06:31, 25.33it/s, loss=5.990, lr=0.000192, REAL it/s=30.00, Kt/s=7.680]
Epoch 0:   2%|▏         | 162/10080 [00:06<06:31, 25.33it/s, loss=5.990, lr=0.000189, REAL it/s=31.50, Kt/s=8.070]
Epoch 0:   2%|▏         | 163/10080 [00:06<06:30, 25.37it/s, loss=5.990, lr=0.000189, REAL it/s=31.50, Kt/s=8.070]
Epoch 0:   2%|▏         | 163/10080 [00:06<06:30, 25.37it/s, loss=5.990, lr=0.000185, REAL it/s=35.00, Kt/s=8.960]
Epoch 0:   2%|▏         | 164/10080 [00:06<06:30, 25.42it/s, loss=5.990, lr=0.000185, REAL it/s=35.00, Kt/s=8.960]
Epoch 0:   2%|▏         | 164/10080 [00:06<06:30, 25.42it/s, loss=5.990, lr=0.000181, REAL it/s=37.90, Kt/s=9.710]
Epoch 0:   2%|▏         | 165/10080 [00:06<06:29, 25.48it/s, loss=5.990, lr=0.000181, REAL it/s=37.90, Kt/s=9.710]
Epoch 0:   2%|▏         | 165/10080 [00:06<06:29, 25.48it/s, loss=5.990, lr=0.000178, REAL it/s=39.40, Kt/s=10.10]
Epoch 0:   2%|▏         | 166/10080 [00:06<06:28, 25.52it/s, loss=5.990, lr=0.000178, REAL it/s=39.40, Kt/s=10.10]
Epoch 0:   2%|▏         | 166/10080 [00:06<06:28, 25.51it/s, loss=5.990, lr=0.000175, REAL it/s=34.70, Kt/s=8.900]
Epoch 0:   2%|▏         | 167/10080 [00:06<06:27, 25.55it/s, loss=5.990, lr=0.000175, REAL it/s=34.70, Kt/s=8.900]
Epoch 0:   2%|▏         | 167/10080 [00:06<06:27, 25.55it/s, loss=5.990, lr=0.000171, REAL it/s=33.40, Kt/s=8.560]
Epoch 0:   2%|▏         | 168/10080 [00:06<06:27, 25.60it/s, loss=5.990, lr=0.000171, REAL it/s=33.40, Kt/s=8.560]
Epoch 0:   2%|▏         | 168/10080 [00:06<06:27, 25.60it/s, loss=5.990, lr=0.000168, REAL it/s=36.90, Kt/s=9.450]
Epoch 0:   2%|▏         | 169/10080 [00:06<06:26, 25.64it/s, loss=5.990, lr=0.000168, REAL it/s=36.90, Kt/s=9.450]
Epoch 0:   2%|▏         | 169/10080 [00:06<06:26, 25.64it/s, loss=5.990, lr=0.000164, REAL it/s=35.10, Kt/s=8.980]
Epoch 0:   2%|▏         | 170/10080 [00:06<06:25, 25.69it/s, loss=5.990, lr=0.000164, REAL it/s=35.10, Kt/s=8.980]
Epoch 0:   2%|▏         | 170/10080 [00:06<06:25, 25.69it/s, loss=5.990, lr=0.000161, REAL it/s=37.00, Kt/s=9.470]
Epoch 0:   2%|▏         | 171/10080 [00:06<06:25, 25.72it/s, loss=5.990, lr=0.000161, REAL it/s=37.00, Kt/s=9.470]
Epoch 0:   2%|▏         | 171/10080 [00:06<06:25, 25.72it/s, loss=5.990, lr=0.000158, REAL it/s=35.10, Kt/s=8.980]
Epoch 0:   2%|▏         | 172/10080 [00:06<06:24, 25.78it/s, loss=5.990, lr=0.000158, REAL it/s=35.10, Kt/s=8.980]
Epoch 0:   2%|▏         | 172/10080 [00:06<06:24, 25.78it/s, loss=5.990, lr=0.000154, REAL it/s=38.10, Kt/s=9.750]
Epoch 0:   2%|▏         | 173/10080 [00:06<06:23, 25.81it/s, loss=5.990, lr=0.000154, REAL it/s=38.10, Kt/s=9.750]
Epoch 0:   2%|▏         | 173/10080 [00:06<06:23, 25.81it/s, loss=5.990, lr=0.000151, REAL it/s=34.50, Kt/s=8.830]
Epoch 0:   2%|▏         | 174/10080 [00:06<06:23, 25.85it/s, loss=5.990, lr=0.000151, REAL it/s=34.50, Kt/s=8.830]
Epoch 0:   2%|▏         | 174/10080 [00:06<06:23, 25.85it/s, loss=5.990, lr=0.000148, REAL it/s=33.90, Kt/s=8.670]
Epoch 0:   2%|▏         | 175/10080 [00:06<06:22, 25.88it/s, loss=5.990, lr=0.000148, REAL it/s=33.90, Kt/s=8.670]
Epoch 0:   2%|▏         | 175/10080 [00:06<06:22, 25.88it/s, loss=5.990, lr=0.000144, REAL it/s=33.10, Kt/s=8.480]
Epoch 0:   2%|▏         | 176/10080 [00:06<06:22, 25.92it/s, loss=5.990, lr=0.000144, REAL it/s=33.10, Kt/s=8.480]
Epoch 0:   2%|▏         | 176/10080 [00:06<06:22, 25.92it/s, loss=5.990, lr=0.000141, REAL it/s=36.00, Kt/s=9.220]
Epoch 0:   2%|▏         | 177/10080 [00:06<06:21, 25.94it/s, loss=5.990, lr=0.000141, REAL it/s=36.00, Kt/s=9.220]
Epoch 0:   2%|▏         | 177/10080 [00:06<06:21, 25.94it/s, loss=5.990, lr=0.000138, REAL it/s=30.00, Kt/s=7.670]
Epoch 0:   2%|▏         | 178/10080 [00:06<06:21, 25.96it/s, loss=5.990, lr=0.000138, REAL it/s=30.00, Kt/s=7.670]
Epoch 0:   2%|▏         | 178/10080 [00:06<06:21, 25.96it/s, loss=5.990, lr=0.000135, REAL it/s=29.30, Kt/s=7.490]
Epoch 0:   2%|▏         | 179/10080 [00:06<06:21, 25.98it/s, loss=5.990, lr=0.000135, REAL it/s=29.30, Kt/s=7.490]
Epoch 0:   2%|▏         | 179/10080 [00:06<06:21, 25.97it/s, loss=5.990, lr=0.000132, REAL it/s=29.40, Kt/s=7.520]
Epoch 0:   2%|▏         | 180/10080 [00:06<06:20, 26.00it/s, loss=5.990, lr=0.000132, REAL it/s=29.40, Kt/s=7.520]
Epoch 0:   2%|▏         | 180/10080 [00:06<06:20, 26.00it/s, loss=5.990, lr=0.000128, REAL it/s=32.50, Kt/s=8.310]
Epoch 0:   2%|▏         | 181/10080 [00:06<06:20, 26.04it/s, loss=5.990, lr=0.000128, REAL it/s=32.50, Kt/s=8.310]
Epoch 0:   2%|▏         | 181/10080 [00:06<06:20, 26.04it/s, loss=5.990, lr=0.000125, REAL it/s=35.10, Kt/s=8.980]
Epoch 0:   2%|▏         | 182/10080 [00:06<06:19, 26.09it/s, loss=5.990, lr=0.000125, REAL it/s=35.10, Kt/s=8.980]
Epoch 0:   2%|▏         | 182/10080 [00:06<06:19, 26.09it/s, loss=5.990, lr=0.000122, REAL it/s=37.60, Kt/s=9.620]
Epoch 0:   2%|▏         | 183/10080 [00:07<06:18, 26.12it/s, loss=5.990, lr=0.000122, REAL it/s=37.60, Kt/s=9.620]
Epoch 0:   2%|▏         | 183/10080 [00:07<06:18, 26.12it/s, loss=5.990, lr=0.000119, REAL it/s=35.60, Kt/s=9.100]
Epoch 0:   2%|▏         | 184/10080 [00:07<06:18, 26.16it/s, loss=5.990, lr=0.000119, REAL it/s=35.60, Kt/s=9.100]
Epoch 0:   2%|▏         | 184/10080 [00:07<06:18, 26.16it/s, loss=5.990, lr=0.000116, REAL it/s=34.30, Kt/s=8.780]
Epoch 0:   2%|▏         | 185/10080 [00:07<06:17, 26.19it/s, loss=5.990, lr=0.000116, REAL it/s=34.30, Kt/s=8.780]
Epoch 0:   2%|▏         | 185/10080 [00:07<06:17, 26.19it/s, loss=5.990, lr=0.000113, REAL it/s=34.00, Kt/s=8.710]
Epoch 0:   2%|▏         | 186/10080 [00:07<06:17, 26.22it/s, loss=5.990, lr=0.000113, REAL it/s=34.00, Kt/s=8.710]
Epoch 0:   2%|▏         | 186/10080 [00:07<06:17, 26.21it/s, loss=5.990, lr=0.00011, REAL it/s=32.30, Kt/s=8.260] 
Epoch 0:   2%|▏         | 187/10080 [00:07<06:16, 26.25it/s, loss=5.990, lr=0.00011, REAL it/s=32.30, Kt/s=8.260]
Epoch 0:   2%|▏         | 187/10080 [00:07<06:16, 26.25it/s, loss=5.990, lr=0.000108, REAL it/s=34.00, Kt/s=8.690]
Epoch 0:   2%|▏         | 188/10080 [00:07<06:16, 26.28it/s, loss=5.990, lr=0.000108, REAL it/s=34.00, Kt/s=8.690]
Epoch 0:   2%|▏         | 188/10080 [00:07<06:16, 26.28it/s, loss=5.990, lr=0.000105, REAL it/s=34.70, Kt/s=8.880]
Epoch 0:   2%|▏         | 189/10080 [00:07<06:15, 26.32it/s, loss=5.990, lr=0.000105, REAL it/s=34.70, Kt/s=8.880]
Epoch 0:   2%|▏         | 189/10080 [00:07<06:15, 26.32it/s, loss=5.990, lr=0.000102, REAL it/s=35.40, Kt/s=9.070]
Epoch 0:   2%|▏         | 190/10080 [00:07<06:15, 26.35it/s, loss=5.990, lr=0.000102, REAL it/s=35.40, Kt/s=9.070]
Epoch 0:   2%|▏         | 190/10080 [00:07<06:15, 26.35it/s, loss=5.990, lr=9.92e-5, REAL it/s=33.90, Kt/s=8.690] 
Epoch 0:   2%|▏         | 191/10080 [00:07<06:14, 26.38it/s, loss=5.990, lr=9.92e-5, REAL it/s=33.90, Kt/s=8.690]
Epoch 0:   2%|▏         | 191/10080 [00:07<06:14, 26.37it/s, loss=5.990, lr=9.64e-5, REAL it/s=32.60, Kt/s=8.340]
Epoch 0:   2%|▏         | 192/10080 [00:07<06:14, 26.40it/s, loss=5.990, lr=9.64e-5, REAL it/s=32.60, Kt/s=8.340]
Epoch 0:   2%|▏         | 192/10080 [00:07<06:14, 26.40it/s, loss=5.990, lr=9.37e-5, REAL it/s=32.90, Kt/s=8.410]
Epoch 0:   2%|▏         | 193/10080 [00:07<06:14, 26.43it/s, loss=5.990, lr=9.37e-5, REAL it/s=32.90, Kt/s=8.410]
Epoch 0:   2%|▏         | 193/10080 [00:07<06:14, 26.43it/s, loss=5.990, lr=9.1e-5, REAL it/s=33.90, Kt/s=8.690] 
Epoch 0:   2%|▏         | 194/10080 [00:07<06:13, 26.45it/s, loss=5.990, lr=9.1e-5, REAL it/s=33.90, Kt/s=8.690]
Epoch 0:   2%|▏         | 194/10080 [00:07<06:13, 26.45it/s, loss=5.990, lr=8.84e-5, REAL it/s=30.20, Kt/s=7.720]
Epoch 0:   2%|▏         | 195/10080 [00:07<06:13, 26.47it/s, loss=5.990, lr=8.84e-5, REAL it/s=30.20, Kt/s=7.720]
Epoch 0:   2%|▏         | 195/10080 [00:07<06:13, 26.47it/s, loss=5.990, lr=8.58e-5, REAL it/s=31.30, Kt/s=8.010]
Epoch 0:   2%|▏         | 196/10080 [00:07<06:13, 26.50it/s, loss=5.990, lr=8.58e-5, REAL it/s=31.30, Kt/s=8.010]
Epoch 0:   2%|▏         | 196/10080 [00:07<06:13, 26.49it/s, loss=5.990, lr=8.32e-5, REAL it/s=32.20, Kt/s=8.250]
Epoch 0:   2%|▏         | 197/10080 [00:07<06:12, 26.50it/s, loss=5.990, lr=8.32e-5, REAL it/s=32.20, Kt/s=8.250]
Epoch 0:   2%|▏         | 197/10080 [00:07<06:12, 26.50it/s, loss=5.990, lr=8.07e-5, REAL it/s=27.80, Kt/s=7.110]
Epoch 0:   2%|▏         | 198/10080 [00:07<06:12, 26.52it/s, loss=5.990, lr=8.07e-5, REAL it/s=27.80, Kt/s=7.110]
Epoch 0:   2%|▏         | 198/10080 [00:07<06:12, 26.52it/s, loss=5.990, lr=7.82e-5, REAL it/s=30.10, Kt/s=7.710]
Epoch 0:   2%|▏         | 199/10080 [00:07<06:12, 26.54it/s, loss=5.990, lr=7.82e-5, REAL it/s=30.10, Kt/s=7.710]
Epoch 0:   2%|▏         | 199/10080 [00:07<06:12, 26.54it/s, loss=5.990, lr=7.57e-5, REAL it/s=32.00, Kt/s=8.200]
Epoch 0:   2%|▏         | 200/10080 [00:07<06:11, 26.56it/s, loss=5.990, lr=7.57e-5, REAL it/s=32.00, Kt/s=8.200]
Epoch 0:   2%|▏         | 200/10080 [00:07<06:11, 26.56it/s, loss=5.990, lr=7.33e-5, REAL it/s=31.40, Kt/s=8.040]
Epoch 0:   2%|▏         | 201/10080 [00:07<06:11, 26.58it/s, loss=5.990, lr=7.33e-5, REAL it/s=31.40, Kt/s=8.040]
Epoch 0:   2%|▏         | 201/10080 [00:07<06:11, 26.58it/s, loss=5.990, lr=7.1e-5, REAL it/s=30.80, Kt/s=7.890] 
Epoch 0:   2%|▏         | 202/10080 [00:07<06:11, 26.59it/s, loss=5.990, lr=7.1e-5, REAL it/s=30.80, Kt/s=7.890]
Epoch 0:   2%|▏         | 202/10080 [00:07<06:11, 26.58it/s, loss=5.990, lr=6.86e-5, REAL it/s=27.90, Kt/s=7.130]
Epoch 0:   2%|▏         | 203/10080 [00:07<06:11, 26.56it/s, loss=5.990, lr=6.86e-5, REAL it/s=27.90, Kt/s=7.130]
Epoch 0:   2%|▏         | 203/10080 [00:07<06:11, 26.56it/s, loss=5.990, lr=6.63e-5, REAL it/s=22.50, Kt/s=5.750]
Epoch 0:   2%|▏         | 204/10080 [00:07<06:11, 26.58it/s, loss=5.990, lr=6.63e-5, REAL it/s=22.50, Kt/s=5.750]
Epoch 0:   2%|▏         | 204/10080 [00:07<06:11, 26.57it/s, loss=5.990, lr=6.41e-5, REAL it/s=29.80, Kt/s=7.640]
Epoch 0:   2%|▏         | 205/10080 [00:07<06:11, 26.60it/s, loss=5.990, lr=6.41e-5, REAL it/s=29.80, Kt/s=7.640]
Epoch 0:   2%|▏         | 205/10080 [00:07<06:11, 26.60it/s, loss=5.990, lr=6.19e-5, REAL it/s=31.10, Kt/s=7.970]
Epoch 0:   2%|▏         | 206/10080 [00:07<06:11, 26.61it/s, loss=5.990, lr=6.19e-5, REAL it/s=31.10, Kt/s=7.970]
Epoch 0:   2%|▏         | 206/10080 [00:07<06:11, 26.61it/s, loss=5.990, lr=5.97e-5, REAL it/s=31.30, Kt/s=8.010]
Epoch 0:   2%|▏         | 207/10080 [00:07<06:10, 26.62it/s, loss=5.990, lr=5.97e-5, REAL it/s=31.30, Kt/s=8.010]
Epoch 0:   2%|▏         | 207/10080 [00:07<06:10, 26.62it/s, loss=5.990, lr=5.76e-5, REAL it/s=28.30, Kt/s=7.250]
Epoch 0:   2%|▏         | 208/10080 [00:07<06:10, 26.65it/s, loss=5.990, lr=5.76e-5, REAL it/s=28.30, Kt/s=7.250]
Epoch 0:   2%|▏         | 208/10080 [00:07<06:10, 26.65it/s, loss=5.990, lr=5.55e-5, REAL it/s=34.00, Kt/s=8.710]
Epoch 0:   2%|▏         | 209/10080 [00:07<06:10, 26.66it/s, loss=5.990, lr=5.55e-5, REAL it/s=34.00, Kt/s=8.710]
Epoch 0:   2%|▏         | 209/10080 [00:07<06:10, 26.66it/s, loss=5.990, lr=5.35e-5, REAL it/s=29.00, Kt/s=7.420]
Epoch 0:   2%|▏         | 210/10080 [00:07<06:10, 26.67it/s, loss=5.990, lr=5.35e-5, REAL it/s=29.00, Kt/s=7.420]
Epoch 0:   2%|▏         | 210/10080 [00:07<06:10, 26.67it/s, loss=5.990, lr=5.15e-5, REAL it/s=28.80, Kt/s=7.370]
Epoch 0:   2%|▏         | 211/10080 [00:07<06:09, 26.68it/s, loss=5.990, lr=5.15e-5, REAL it/s=28.80, Kt/s=7.370]
Epoch 0:   2%|▏         | 211/10080 [00:07<06:09, 26.68it/s, loss=5.990, lr=4.95e-5, REAL it/s=28.80, Kt/s=7.370]
Epoch 0:   2%|▏         | 212/10080 [00:07<06:09, 26.69it/s, loss=5.990, lr=4.95e-5, REAL it/s=28.80, Kt/s=7.370]
Epoch 0:   2%|▏         | 212/10080 [00:07<06:09, 26.69it/s, loss=5.990, lr=4.76e-5, REAL it/s=29.10, Kt/s=7.440]
Epoch 0:   2%|▏         | 213/10080 [00:07<06:09, 26.70it/s, loss=5.990, lr=4.76e-5, REAL it/s=29.10, Kt/s=7.440]
Epoch 0:   2%|▏         | 213/10080 [00:07<06:09, 26.70it/s, loss=5.990, lr=4.57e-5, REAL it/s=30.10, Kt/s=7.700]
Epoch 0:   2%|▏         | 214/10080 [00:08<06:09, 26.72it/s, loss=5.990, lr=4.57e-5, REAL it/s=30.10, Kt/s=7.700]
Epoch 0:   2%|▏         | 214/10080 [00:08<06:09, 26.72it/s, loss=5.990, lr=4.39e-5, REAL it/s=31.50, Kt/s=8.070]
Epoch 0:   2%|▏         | 215/10080 [00:08<06:08, 26.74it/s, loss=5.990, lr=4.39e-5, REAL it/s=31.50, Kt/s=8.070]
Epoch 0:   2%|▏         | 215/10080 [00:08<06:08, 26.74it/s, loss=5.990, lr=4.22e-5, REAL it/s=30.80, Kt/s=7.880]
Epoch 0:   2%|▏         | 216/10080 [00:08<06:08, 26.75it/s, loss=5.990, lr=4.22e-5, REAL it/s=30.80, Kt/s=7.880]
Epoch 0:   2%|▏         | 216/10080 [00:08<06:08, 26.75it/s, loss=5.990, lr=4.04e-5, REAL it/s=28.80, Kt/s=7.380]
Epoch 0:   2%|▏         | 217/10080 [00:08<06:08, 26.78it/s, loss=5.990, lr=4.04e-5, REAL it/s=28.80, Kt/s=7.380]
Epoch 0:   2%|▏         | 217/10080 [00:08<06:08, 26.77it/s, loss=5.990, lr=3.87e-5, REAL it/s=34.00, Kt/s=8.700]
Epoch 0:   2%|▏         | 218/10080 [00:08<06:08, 26.78it/s, loss=5.990, lr=3.87e-5, REAL it/s=34.00, Kt/s=8.700]
Epoch 0:   2%|▏         | 218/10080 [00:08<06:08, 26.78it/s, loss=5.990, lr=3.71e-5, REAL it/s=29.00, Kt/s=7.410]
Epoch 0:   2%|▏         | 219/10080 [00:08<06:08, 26.79it/s, loss=5.990, lr=3.71e-5, REAL it/s=29.00, Kt/s=7.410]
Epoch 0:   2%|▏         | 219/10080 [00:08<06:08, 26.79it/s, loss=5.990, lr=3.55e-5, REAL it/s=28.80, Kt/s=7.360]
Epoch 0:   2%|▏         | 220/10080 [00:08<06:07, 26.80it/s, loss=5.990, lr=3.55e-5, REAL it/s=28.80, Kt/s=7.360]
Epoch 0:   2%|▏         | 220/10080 [00:08<06:07, 26.80it/s, loss=5.990, lr=3.4e-5, REAL it/s=29.50, Kt/s=7.550] 
Epoch 0:   2%|▏         | 221/10080 [00:08<06:07, 26.81it/s, loss=5.990, lr=3.4e-5, REAL it/s=29.50, Kt/s=7.550]
Epoch 0:   2%|▏         | 221/10080 [00:08<06:07, 26.81it/s, loss=5.990, lr=3.25e-5, REAL it/s=28.20, Kt/s=7.210]
Epoch 0:   2%|▏         | 222/10080 [00:08<06:07, 26.82it/s, loss=5.990, lr=3.25e-5, REAL it/s=28.20, Kt/s=7.210]
Epoch 0:   2%|▏         | 222/10080 [00:08<06:07, 26.82it/s, loss=5.990, lr=3.1e-5, REAL it/s=29.80, Kt/s=7.620] 
Epoch 0:   2%|▏         | 223/10080 [00:08<06:07, 26.82it/s, loss=5.990, lr=3.1e-5, REAL it/s=29.80, Kt/s=7.620]
Epoch 0:   2%|▏         | 223/10080 [00:08<06:07, 26.82it/s, loss=5.990, lr=2.96e-5, REAL it/s=26.30, Kt/s=6.730]
Epoch 0:   2%|▏         | 224/10080 [00:08<06:07, 26.83it/s, loss=5.990, lr=2.96e-5, REAL it/s=26.30, Kt/s=6.730]
Epoch 0:   2%|▏         | 224/10080 [00:08<06:07, 26.83it/s, loss=5.990, lr=2.82e-5, REAL it/s=30.40, Kt/s=7.770]
Epoch 0:   2%|▏         | 225/10080 [00:08<06:07, 26.85it/s, loss=5.990, lr=2.82e-5, REAL it/s=30.40, Kt/s=7.770]
Epoch 0:   2%|▏         | 225/10080 [00:08<06:07, 26.85it/s, loss=5.990, lr=2.69e-5, REAL it/s=30.90, Kt/s=7.920]
Epoch 0:   2%|▏         | 226/10080 [00:08<06:06, 26.85it/s, loss=5.990, lr=2.69e-5, REAL it/s=30.90, Kt/s=7.920]
Epoch 0:   2%|▏         | 226/10080 [00:08<06:06, 26.85it/s, loss=5.990, lr=2.57e-5, REAL it/s=28.50, Kt/s=7.290]
Epoch 0:   2%|▏         | 227/10080 [00:08<06:06, 26.87it/s, loss=5.990, lr=2.57e-5, REAL it/s=28.50, Kt/s=7.290]
Epoch 0:   2%|▏         | 227/10080 [00:08<06:06, 26.87it/s, loss=5.990, lr=2.44e-5, REAL it/s=29.70, Kt/s=7.610]
Epoch 0:   2%|▏         | 228/10080 [00:08<06:06, 26.88it/s, loss=5.990, lr=2.44e-5, REAL it/s=29.70, Kt/s=7.610]
Epoch 0:   2%|▏         | 228/10080 [00:08<06:06, 26.88it/s, loss=5.990, lr=2.33e-5, REAL it/s=29.40, Kt/s=7.530]
Epoch 0:   2%|▏         | 229/10080 [00:08<06:06, 26.89it/s, loss=5.990, lr=2.33e-5, REAL it/s=29.40, Kt/s=7.530]
Epoch 0:   2%|▏         | 229/10080 [00:08<06:06, 26.89it/s, loss=5.980, lr=2.21e-5, REAL it/s=30.60, Kt/s=7.830]
Epoch 0:   2%|▏         | 230/10080 [00:08<06:05, 26.93it/s, loss=5.980, lr=2.21e-5, REAL it/s=30.60, Kt/s=7.830]
Epoch 0:   2%|▏         | 230/10080 [00:08<06:05, 26.92it/s, loss=5.980, lr=2.11e-5, REAL it/s=37.60, Kt/s=9.640]
Epoch 0:   2%|▏         | 231/10080 [00:08<06:05, 26.95it/s, loss=5.980, lr=2.11e-5, REAL it/s=37.60, Kt/s=9.640]
Epoch 0:   2%|▏         | 231/10080 [00:08<06:05, 26.95it/s, loss=5.980, lr=2.01e-5, REAL it/s=35.40, Kt/s=9.070]
Epoch 0:   2%|▏         | 232/10080 [00:08<06:05, 26.98it/s, loss=5.980, lr=2.01e-5, REAL it/s=35.40, Kt/s=9.070]
Epoch 0:   2%|▏         | 232/10080 [00:08<06:05, 26.98it/s, loss=5.980, lr=1.91e-5, REAL it/s=34.10, Kt/s=8.740]
Epoch 0:   2%|▏         | 233/10080 [00:08<06:04, 27.00it/s, loss=5.980, lr=1.91e-5, REAL it/s=34.10, Kt/s=8.740]
Epoch 0:   2%|▏         | 233/10080 [00:08<06:04, 27.00it/s, loss=5.980, lr=1.82e-5, REAL it/s=34.20, Kt/s=8.750]
Epoch 0:   2%|▏         | 234/10080 [00:08<06:04, 27.03it/s, loss=5.980, lr=1.82e-5, REAL it/s=34.20, Kt/s=8.750]
Epoch 0:   2%|▏         | 234/10080 [00:08<06:04, 27.02it/s, loss=5.980, lr=1.73e-5, REAL it/s=34.10, Kt/s=8.740]
Epoch 0:   2%|▏         | 235/10080 [00:08<06:03, 27.06it/s, loss=5.980, lr=1.73e-5, REAL it/s=34.10, Kt/s=8.740]
Epoch 0:   2%|▏         | 235/10080 [00:08<06:03, 27.06it/s, loss=5.980, lr=1.64e-5, REAL it/s=37.10, Kt/s=9.490]
Epoch 0:   2%|▏         | 236/10080 [00:08<06:03, 27.09it/s, loss=5.980, lr=1.64e-5, REAL it/s=37.10, Kt/s=9.490]
Epoch 0:   2%|▏         | 236/10080 [00:08<06:03, 27.08it/s, loss=5.980, lr=1.57e-5, REAL it/s=35.70, Kt/s=9.130]
Epoch 0:   2%|▏         | 237/10080 [00:08<06:03, 27.11it/s, loss=5.980, lr=1.57e-5, REAL it/s=35.70, Kt/s=9.130]
Epoch 0:   2%|▏         | 237/10080 [00:08<06:03, 27.11it/s, loss=5.980, lr=1.49e-5, REAL it/s=36.30, Kt/s=9.290]
Epoch 0:   2%|▏         | 238/10080 [00:08<06:02, 27.14it/s, loss=5.980, lr=1.49e-5, REAL it/s=36.30, Kt/s=9.290]
Epoch 0:   2%|▏         | 238/10080 [00:08<06:02, 27.14it/s, loss=5.980, lr=1.43e-5, REAL it/s=33.90, Kt/s=8.680]
Epoch 0:   2%|▏         | 239/10080 [00:08<06:02, 27.17it/s, loss=5.980, lr=1.43e-5, REAL it/s=33.90, Kt/s=8.680]
Epoch 0:   2%|▏         | 239/10080 [00:08<06:02, 27.17it/s, loss=5.980, lr=1.36e-5, REAL it/s=36.90, Kt/s=9.450]
Epoch 0:   2%|▏         | 240/10080 [00:08<06:01, 27.18it/s, loss=5.980, lr=1.36e-5, REAL it/s=36.90, Kt/s=9.450]
Epoch 0:   2%|▏         | 240/10080 [00:08<06:01, 27.18it/s, loss=5.980, lr=1.31e-5, REAL it/s=31.50, Kt/s=8.080]
Epoch 0:   2%|▏         | 241/10080 [00:08<06:01, 27.21it/s, loss=5.980, lr=1.31e-5, REAL it/s=31.50, Kt/s=8.080]
Epoch 0:   2%|▏         | 241/10080 [00:08<06:01, 27.21it/s, loss=5.980, lr=1.25e-5, REAL it/s=34.80, Kt/s=8.920]
Epoch 0:   2%|▏         | 242/10080 [00:08<06:01, 27.23it/s, loss=5.980, lr=1.25e-5, REAL it/s=34.80, Kt/s=8.920]
Epoch 0:   2%|▏         | 242/10080 [00:08<06:01, 27.23it/s, loss=5.980, lr=1.2e-5, REAL it/s=32.70, Kt/s=8.380] 
Epoch 0:   2%|▏         | 243/10080 [00:08<06:01, 27.24it/s, loss=5.980, lr=1.2e-5, REAL it/s=32.70, Kt/s=8.380]
Epoch 0:   2%|▏         | 243/10080 [00:08<06:01, 27.24it/s, loss=5.980, lr=1.16e-5, REAL it/s=32.30, Kt/s=8.270]
Epoch 0:   2%|▏         | 244/10080 [00:08<06:00, 27.27it/s, loss=5.980, lr=1.16e-5, REAL it/s=32.30, Kt/s=8.270]
Epoch 0:   2%|▏         | 244/10080 [00:08<06:00, 27.27it/s, loss=5.980, lr=1.12e-5, REAL it/s=34.30, Kt/s=8.780]
Epoch 0:   2%|▏         | 245/10080 [00:08<06:00, 27.29it/s, loss=5.980, lr=1.12e-5, REAL it/s=34.30, Kt/s=8.780]
Epoch 0:   2%|▏         | 245/10080 [00:08<06:00, 27.29it/s, loss=5.980, lr=1.09e-5, REAL it/s=32.80, Kt/s=8.400]
Epoch 0:   2%|▏         | 246/10080 [00:09<05:59, 27.32it/s, loss=5.980, lr=1.09e-5, REAL it/s=32.80, Kt/s=8.400]
Epoch 0:   2%|▏         | 246/10080 [00:09<05:59, 27.32it/s, loss=5.980, lr=1.06e-5, REAL it/s=39.60, Kt/s=10.10]
Epoch 0:   2%|▏         | 247/10080 [00:09<05:59, 27.34it/s, loss=5.980, lr=1.06e-5, REAL it/s=39.60, Kt/s=10.10]
Epoch 0:   2%|▏         | 247/10080 [00:09<05:59, 27.34it/s, loss=5.980, lr=1.04e-5, REAL it/s=35.30, Kt/s=9.050]
Epoch 0:   2%|▏         | 248/10080 [00:09<05:59, 27.37it/s, loss=5.980, lr=1.04e-5, REAL it/s=35.30, Kt/s=9.050]
Epoch 0:   2%|▏         | 248/10080 [00:09<05:59, 27.36it/s, loss=5.980, lr=1.02e-5, REAL it/s=33.90, Kt/s=8.670]
Epoch 0:   2%|▏         | 249/10080 [00:09<05:58, 27.39it/s, loss=5.980, lr=1.02e-5, REAL it/s=33.90, Kt/s=8.670]
Epoch 0:   2%|▏         | 249/10080 [00:09<05:58, 27.39it/s, loss=5.980, lr=1.01e-5, REAL it/s=35.00, Kt/s=8.960]
Epoch 0:   2%|▏         | 250/10080 [00:09<05:58, 27.41it/s, loss=5.980, lr=1.01e-5, REAL it/s=35.00, Kt/s=8.960]
Epoch 0:   2%|▏         | 250/10080 [00:09<05:58, 27.41it/s, loss=5.980, lr=1e-5, REAL it/s=33.20, Kt/s=8.490]   [rank0]:[W211 15:42:49.223289749 ProcessGroupNCCL.cpp:1250] Warning: WARNING: process group has NOT been destroyed before we destruct ProcessGroupNCCL. On normal program exit, the application should call destroy_process_group to ensure that any pending NCCL operations have finished in this process. In rare cases this process can exit before this point and block the progress of another member of the process group. This constraint has always been present,  but this warning has only been added since PyTorch 2.4 (function operator())
