=== Log started at 2026-05-18 14:46:25 ===
###### config ######
{'encoderLayerUp': 2, 'encoderLayerDown': 0, 'middleLayerUp': 3, 'middleLayerDown': 2, 'low_regularization': '0.0batchnormdropout0.5', 'high_regularization': '0.10batchnormdropout0.5', 'activation_leak': 0.05, 'lowWD': 0.001, 'highWD': 0.01, 'noise': 0.02, 'description': ''}
####################
dropout in 0.10batchnormdropout0.5: 0.1 -> 0.5
  Bulk loss enabled, disabling dropout (max_drop=0)
Non-finite loss detected!
Sat loss: 0.07733441889286041, Chem loss: 0.00037309410981833935, Mole loss: 0.00118647248018533, Bulk loss: nan
ENDING EARLY
[TRAIN] Running Saturation Loss: 8.090e-02	Running Chem Loss: 4.155e-04
[TRAIN] Running Molar Loss: 1.278e-03	Running Bulk Loss: nan
[TRAIN] Running WEIGHTED Saturation Loss: 8.090e-02	Running Weighted Chem Loss: 4.155e-02
[TRAIN] Running WEIGHTED Molar Loss: 6.391e-02	Running Weighted Bulk Loss: nan
[TEST] Running Saturation Loss: 7.685e-02	Running Chem Loss: 3.347e-04
[TEST] Running Molar Loss: 8.018e-04	Running Bulk Loss: 6.599e-05
Epoch 01: Train 3300.51750 | Test 2164.07021 | time = 79.8s
New best test loss: 2164.07021 (improvement of nan%) Saving model.
Stepping scheduler on epoch. Current LR: [0.0004877641290737884, 0.0004877641290737884, 0.0004877641290737884]
Underfitting. Decreasing Dropout: 0.1->0.08
Non-finite loss detected!
Sat loss: 0.07983341813087463, Chem loss: 0.00035844946978613734, Mole loss: 0.0012321488466113806, Bulk loss: nan
ENDING EARLY
[TRAIN] Running Saturation Loss: 7.772e-02	Running Chem Loss: 3.519e-04
[TRAIN] Running Molar Loss: 1.164e-03	Running Bulk Loss: nan
[TRAIN] Running WEIGHTED Saturation Loss: 7.772e-02	Running Weighted Chem Loss: 3.519e-02
[TRAIN] Running WEIGHTED Molar Loss: 5.820e-02	Running Weighted Bulk Loss: nan
[TEST] Running Saturation Loss: 7.492e-02	Running Chem Loss: 3.177e-04
[TEST] Running Molar Loss: 7.047e-04	Running Bulk Loss: 6.165e-05
Epoch 02: Train 2757.44902 | Test 2035.81300 | time = 70.3s
New best test loss: 2035.81300 (improvement of 5.93%) Saving model.
Stepping scheduler on epoch. Current LR: [0.0004522542485937368, 0.0004522542485937368, 0.0004522542485937368]
Underfitting. Decreasing Dropout: 0.08->0.06
Non-finite loss detected!
Sat loss: 0.07217573374509811, Chem loss: 0.0002993796661030501, Mole loss: 0.0011182134039700031, Bulk loss: nan
ENDING EARLY
[TRAIN] Running Saturation Loss: 7.386e-02	Running Chem Loss: 3.008e-04
[TRAIN] Running Molar Loss: 1.061e-03	Running Bulk Loss: nan
[TRAIN] Running WEIGHTED Saturation Loss: 7.386e-02	Running Weighted Chem Loss: 3.008e-02
[TRAIN] Running WEIGHTED Molar Loss: 5.306e-02	Running Weighted Bulk Loss: nan
[TEST] Running Saturation Loss: 7.478e-02	Running Chem Loss: 2.937e-04
[TEST] Running Molar Loss: 6.383e-04	Running Bulk Loss: 4.976e-05
Epoch 03: Train 2349.23585 | Test 1858.19063 | time = 85.2s
New best test loss: 1858.19063 (improvement of 8.72%) Saving model.
Stepping scheduler on epoch. Current LR: [0.0003969463130731183, 0.0003969463130731183, 0.0003969463130731183]
Underfitting. Decreasing Dropout: 0.06->0.039999999999999994
Non-finite loss detected!
Sat loss: 0.07326892018318176, Chem loss: 0.0002741391072049737, Mole loss: 0.0010516028851270676, Bulk loss: nan
ENDING EARLY
[TRAIN] Running Saturation Loss: 7.000e-02	Running Chem Loss: 2.624e-04
[TRAIN] Running Molar Loss: 9.723e-04	Running Bulk Loss: nan
[TRAIN] Running WEIGHTED Saturation Loss: 7.000e-02	Running Weighted Chem Loss: 2.624e-02
[TRAIN] Running WEIGHTED Molar Loss: 4.861e-02	Running Weighted Bulk Loss: nan
[TEST] Running Saturation Loss: 7.315e-02	Running Chem Loss: 2.792e-04
[TEST] Running Molar Loss: 6.144e-04	Running Bulk Loss: 4.396e-05
Epoch 04: Train 2014.57463 | Test 1757.57701 | time = 32.0s
New best test loss: 1757.57701 (improvement of 5.41%) Saving model.
Stepping scheduler on epoch. Current LR: [0.00032725424859373687, 0.00032725424859373687, 0.00032725424859373687]
Underfitting. Decreasing Dropout: 0.039999999999999994->0.019999999999999993
[TRAIN] Running Saturation Loss: 6.558e-02	Running Chem Loss: 2.222e-04
[TRAIN] Running Molar Loss: 8.850e-04	Running Bulk Loss: 3.692e-05
[TRAIN] Running WEIGHTED Saturation Loss: 6.558e-02	Running Weighted Chem Loss: 2.222e-02
[TRAIN] Running WEIGHTED Molar Loss: 4.425e-02	Running Weighted Bulk Loss: 3.692e-02
[TEST] Running Saturation Loss: 7.348e-02	Running Chem Loss: 2.572e-04
[TEST] Running Molar Loss: 5.525e-04	Running Bulk Loss: 3.990e-05
Epoch 05: Train 1689.65002 | Test 1667.22971 | time = 106.6s
New best test loss: 1667.22971 (improvement of 5.14%) Saving model.
Stepping scheduler on epoch. Current LR: [0.00025, 0.00025, 0.00025]
Underfitting. Decreasing Dropout: 0.019999999999999993->0
[TRAIN] Running Saturation Loss: 6.071e-02	Running Chem Loss: 1.825e-04
[TRAIN] Running Molar Loss: 7.990e-04	Running Bulk Loss: 1.754e-05
[TRAIN] Running WEIGHTED Saturation Loss: 6.071e-02	Running Weighted Chem Loss: 1.825e-02
[TRAIN] Running WEIGHTED Molar Loss: 3.995e-02	Running Weighted Bulk Loss: 1.754e-02
[TEST] Running Saturation Loss: 7.438e-02	Running Chem Loss: 2.469e-04
[TEST] Running Molar Loss: 4.915e-04	Running Bulk Loss: 3.275e-05
Epoch 06: Train 1364.52848 | Test 1563.83789 | time = 102.7s
New best test loss: 1563.83789 (improvement of 6.20%) Saving model.
Stepping scheduler on epoch. Current LR: [0.00017274575140626317, 0.00017274575140626317, 0.00017274575140626317]
Overfitting, but dropout_rate is at the maximum: 0
[TRAIN] Running Saturation Loss: 5.978e-02	Running Chem Loss: 1.752e-04
[TRAIN] Running Molar Loss: 7.889e-04	Running Bulk Loss: 1.535e-05
[TRAIN] Running WEIGHTED Saturation Loss: 5.978e-02	Running Weighted Chem Loss: 1.752e-02
[TRAIN] Running WEIGHTED Molar Loss: 3.944e-02	Running Weighted Bulk Loss: 1.535e-02
[TEST] Running Saturation Loss: 7.486e-02	Running Chem Loss: 2.381e-04
[TEST] Running Molar Loss: 5.125e-04	Running Bulk Loss: 3.075e-05
Epoch 07: Train 1320.89829 | Test 1550.38015 | time = 101.7s
New best test loss: 1550.38015 (improvement of 0.86%) Saving model.
Stepping scheduler on epoch. Current LR: [0.00010305368692688175, 0.00010305368692688175, 0.00010305368692688175]
Overfitting, but dropout_rate is at the maximum: 0
[TRAIN] Running Saturation Loss: 5.924e-02	Running Chem Loss: 1.706e-04
[TRAIN] Running Molar Loss: 7.801e-04	Running Bulk Loss: 1.392e-05
[TRAIN] Running WEIGHTED Saturation Loss: 5.924e-02	Running Weighted Chem Loss: 1.706e-02
[TRAIN] Running WEIGHTED Molar Loss: 3.901e-02	Running Weighted Bulk Loss: 1.392e-02
[TEST] Running Saturation Loss: 7.487e-02	Running Chem Loss: 2.412e-04
[TEST] Running Molar Loss: 5.553e-04	Running Bulk Loss: 3.022e-05
Epoch 08: Train 1292.19154 | Test 1569.77058 | time = 102.2s
No improvement. Counter: 1/25
Stepping scheduler on epoch. Current LR: [4.774575140626317e-05, 4.774575140626317e-05, 4.774575140626317e-05]
Overfitting, but dropout_rate is at the maximum: 0
[TRAIN] Running Saturation Loss: 5.899e-02	Running Chem Loss: 1.679e-04
[TRAIN] Running Molar Loss: 7.730e-04	Running Bulk Loss: 1.304e-05
[TRAIN] Running WEIGHTED Saturation Loss: 5.899e-02	Running Weighted Chem Loss: 1.679e-02
[TRAIN] Running WEIGHTED Molar Loss: 3.865e-02	Running Weighted Bulk Loss: 1.304e-02
[TEST] Running Saturation Loss: 7.733e-02	Running Chem Loss: 2.419e-04
[TEST] Running Molar Loss: 5.700e-04	Running Bulk Loss: 2.814e-05
Epoch 09: Train 1274.75720 | Test 1581.55020 | time = 102.5s
No improvement. Counter: 2/25
Stepping scheduler on epoch. Current LR: [1.2235870926211617e-05, 1.2235870926211617e-05, 1.2235870926211617e-05]
Overfitting, but dropout_rate is at the maximum: 0
[TRAIN] Running Saturation Loss: 5.884e-02	Running Chem Loss: 1.658e-04
[TRAIN] Running Molar Loss: 7.702e-04	Running Bulk Loss: 1.254e-05
[TRAIN] Running WEIGHTED Saturation Loss: 5.884e-02	Running Weighted Chem Loss: 1.658e-02
[TRAIN] Running WEIGHTED Molar Loss: 3.851e-02	Running Weighted Bulk Loss: 1.254e-02
[TEST] Running Saturation Loss: 7.500e-02	Running Chem Loss: 2.339e-04
[TEST] Running Molar Loss: 5.031e-04	Running Bulk Loss: 2.785e-05
Epoch 10: Train 1264.69205 | Test 1513.95269 | time = 103.2s
New best test loss: 1513.95269 (improvement of 2.35%) Saving model.
