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lpt-for-eeg
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signal-unfreezing-after-10-IIQKEQ
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2022-05-22 19:02:20
Epochs:  91% 29/32 [2:21:01<14:06, 282.30s/epochs]s]
2022-05-22 19:02:20
Training accuracy: 0.9912474066390052
2022-05-22 19:02:20
Training loss    : 0.03145068418055802
2022-05-22 19:02:24
Epochs:  94% 30/32 [2:21:04<09:24, 282.31s/epochs]
2022-05-22 19:02:24
Validation loss    : 5.107238981458877
2022-05-22 19:02:24
Validation accuracy: 0.4826388888888889
2022-05-22 19:07:03
Epochs:  94% 30/32 [2:25:43<09:24, 282.31s/epochs]s]
2022-05-22 19:07:02
Training accuracy: 0.9905342323651455
2022-05-22 19:07:02
Training loss    : 0.02679538283422834
2022-05-22 19:07:07
Epochs:  97% 31/32 [2:25:47<04:42, 282.45s/epochs]
2022-05-22 19:07:06
Validation loss    : 5.224457793765598
2022-05-22 19:07:06
Validation accuracy: 0.5052083333333334
2022-05-22 19:07:06
New best, storing model params.
2022-05-22 19:11:45
Epochs:  97% 31/32 [2:30:26<04:42, 282.45s/epochs]s]
2022-05-22 19:11:45
Training accuracy: 0.9913770746887965
2022-05-22 19:11:45
Training loss    : 0.027801540951856715
2022-05-22 19:11:49
Epochs: 100% 32/32 [2:30:29<00:00, 282.19s/epochs]
2022-05-22 19:11:49
Validation loss    : 5.3751701778835725
2022-05-22 19:11:49
Validation accuracy: 0.4722222222222222
2022-05-22 19:11:53
Evaluation: 100% 9/9 [00:03<00:00,  2.50batches/s]