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wulfdewolf
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lpt-for-eeg
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signal-unfreezing-until-9-KG6DWC
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2022-05-18 07:37:59
Epochs:  91% 29/32 [2:29:36<14:56, 298.98s/epochs]s]
2022-05-18 07:38:03
Epochs:  94% 30/32 [2:29:40<09:58, 299.01s/epochs]
2022-05-18 07:38:00
Training accuracy: 0.9706950207468924
2022-05-18 07:38:00
Training loss    : 0.08569013134086877
2022-05-18 07:38:02
Validation loss    : 4.298981189727783
2022-05-18 07:38:02
Validation accuracy: 0.4131944444444444
2022-05-18 07:42:59
Epochs:  94% 30/32 [2:34:36<09:58, 299.01s/epochs]s]
2022-05-18 07:42:59
Training accuracy: 0.9724455394190922
2022-05-18 07:42:59
Training loss    : 0.0781190303254433
2022-05-18 07:43:03
Epochs:  97% 31/32 [2:34:39<04:59, 299.13s/epochs]
2022-05-18 07:43:03
Validation loss    : 3.539344125323826
2022-05-18 07:43:03
Validation accuracy: 0.43576388888888884
2022-05-18 07:47:58
Epochs:  97% 31/32 [2:39:35<04:59, 299.13s/epochs]s]
2022-05-18 07:48:02
Epochs: 100% 32/32 [2:39:39<00:00, 299.35s/epochs]
2022-05-18 07:47:59
Training accuracy: 0.9743257261410823
2022-05-18 07:47:59
Training loss    : 0.0774710682713002
2022-05-18 07:48:06
Evaluation: 100% 9/9 [00:03<00:00,  2.46batches/s]
2022-05-18 07:48:03
Validation loss    : 3.8974235852559413
2022-05-18 07:48:03
Validation accuracy: 0.45486111111111105
2022-05-18 07:48:03
New best, storing model params.