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2023-01-24 13:05:00
     46        0.8260        0.8588  0.0009  1.3524
2023-01-24 13:05:00
     47        0.8259        0.8588  0.0008  1.3582
2023-01-24 13:05:00
 15%|██████████████████████████                                                                                                                                               | 4/26 [00:00<00:01, 15.78it/s, train_loss=0.881]
2023-01-24 13:05:02
     48        0.8259        0.8587  0.0007  1.3658
2023-01-24 13:05:04
     49        0.8258        0.8587  0.0006  1.3365
2023-01-24 13:05:06
     50        0.8258        0.8587  0.0006  1.3409
2023-01-24 13:05:06
Restoring best model from epoch 48.
2023-01-24 13:05:06
[2023-01-24 13:05:05,368][drcomp.__main__][INFO] - Training took 93.06 seconds.
2023-01-24 13:05:06
[2023-01-24 13:05:05,372][drcomp.__main__][INFO] - Saving model...
2023-01-24 13:05:06
[2023-01-24 13:05:06,073][drcomp.__main__][INFO] - Evaluating model...
2023-01-24 13:05:08
[2023-01-24 13:05:07,334][drcomp.__main__][INFO] - Mean Trustworthiness: 0.9063
2023-01-24 13:05:08
[2023-01-24 13:05:07,336][drcomp.__main__][INFO] - Mean Continuity: 0.9400
2023-01-24 13:05:08
[2023-01-24 13:05:07,338][drcomp.__main__][INFO] - Max LCMC: 0.4973
2023-01-24 13:05:08
[2023-01-24 13:05:07,340][drcomp.__main__][INFO] - Evaluation took 1.17 seconds.
2023-01-24 13:05:08
[2023-01-24 13:05:07,342][drcomp.utils._saving][INFO] - Saved metrics to metrics/ICMR_CAE.json
2023-01-24 13:05:08
computing coranking matrix: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 801/801 [00:00<00:00, 147728.32it/s]
2023-01-24 13:05:14
[2023-01-24 13:05:07,928][drcomp.__main__][INFO] - Finished in 102.97 seconds.