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2023-01-24 12:35:08
     35        0.7692        0.7152  0.0028  10.5876
2023-01-24 12:35:09
 17%|████████████████████████████▋                                                                                                                                           | 80/469 [00:02<00:10, 37.47it/s, train_loss=1.07]
2023-01-24 12:35:18
     36        0.7688        0.7152  0.0025  10.5064
2023-01-24 12:35:28
Stopping since valid_loss has not improved in the last 5 epochs.
2023-01-24 12:35:28
Restoring best model from epoch 32.
2023-01-24 12:35:30
[2023-01-24 12:35:28,339][drcomp.__main__][INFO] - Training took 403.74 seconds.
2023-01-24 12:35:30
[2023-01-24 12:35:28,343][drcomp.__main__][INFO] - Saving model...
2023-01-24 12:35:30
[2023-01-24 12:35:28,756][drcomp.__main__][INFO] - Evaluating model...
2023-01-24 12:35:30
[2023-01-24 12:35:29,457][drcomp.__main__][INFO] - Sampling 15000 samples from the dataset because of computational constraints of the evaluation.
2023-01-24 12:35:30
[2023-01-24 12:35:29,472][drcomp.dimensionality_reducer][WARNING] - Computing the evaluation measures for 15000 samples may take up a long time and RAM. Consider downsampling the data to less than 5000 samples.
2023-01-24 12:35:31
computing pairwise distances: 0it [00:00, ?it/s]
2023-01-24 12:36:46
[2023-01-24 12:36:43,760][drcomp.__main__][INFO] - Mean Trustworthiness: 0.8857
2023-01-24 12:36:46
[2023-01-24 12:36:43,764][drcomp.__main__][INFO] - Mean Continuity: 0.9676
2023-01-24 12:36:46
[2023-01-24 12:36:43,766][drcomp.__main__][INFO] - Max LCMC: 0.2581
2023-01-24 12:36:46
[2023-01-24 12:36:43,768][drcomp.__main__][INFO] - Evaluation took 74.30 seconds.
2023-01-24 12:36:46
[2023-01-24 12:36:43,770][drcomp.utils._saving][INFO] - Saved metrics to metrics/MNIST_CAE.json
2023-01-24 12:36:52
[2023-01-24 12:36:44,306][drcomp.__main__][INFO] - Finished in 490.55 seconds.