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2023-02-27 11:13:35
Testing: [25/63] eta: 0:00:11 loss: 0.4530 (0.4898) batch_acc: 92.5000 (92.6442) batch_f1: 0.7167 (0.7058) batch_acc_balanced: 0.7460 (0.7228) time: 0.2975 data: 0.0297 max mem: 12288
2023-02-27 11:13:40
/mnt/work/lrauch/miniconda3/envs/uncertainty-evaluation/lib/python3.9/site-packages/sklearn/metrics/_classification.py:2184: UserWarning: y_pred contains classes not in y_true
2023-02-27 11:13:43
Testing: [50/63] eta: 0:00:03 loss: 0.4281 (0.4654) batch_acc: 92.5000 (92.9167) batch_f1: 0.7744 (0.7203) batch_acc_balanced: 0.7500 (0.7388) time: 0.2965 data: 0.0290 max mem: 12288
2023-02-27 11:13:44
/mnt/work/lrauch/miniconda3/envs/uncertainty-evaluation/lib/python3.9/site-packages/sklearn/metrics/_classification.py:2184: UserWarning: y_pred contains classes not in y_true
2023-02-27 11:13:46
/mnt/work/lrauch/miniconda3/envs/uncertainty-evaluation/lib/python3.9/site-packages/sklearn/metrics/_classification.py:2184: UserWarning: y_pred contains classes not in y_true
2023-02-27 11:13:47
Testing: Total time: 0:00:18
2023-02-27 11:13:47
Epoch [14]: Test Loss: 0.4596,         Test Accuracy: 92.9972
2023-02-27 11:13:47
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2023-02-27 11:13:47
[2023-02-27 12:13:46,318][root][INFO] - Evaluation took 0.31 minutes
2023-02-27 11:13:47
[2023-02-27 12:13:46,318][root][INFO] - Evaluation stats: {'test_loss_epoch': 0.45959290365378064, 'test_batch_acc_epoch': 92.99719889481672, 'test_batch_f1_epoch': 0.7194572841528241, 'test_batch_acc_balanced_epoch': 0.7408270595337506}
2023-02-27 11:13:47
[2023-02-27 12:13:46,319][root][INFO] - Saving checkpoint for cycle 15
2023-02-27 11:13:51
[2023-02-27 12:13:51,031][root][INFO] - Saving results to /mnt/work/glae/glae-results/fnc1/distilbert/badge/15ep/nosub/N_INIT100__ACQ_SIZE100__N_ACQ15/seed5/results.json
2023-02-27 11:13:51
Saving results to /mnt/work/glae/glae-results/fnc1/distilbert/badge/15ep/nosub/N_INIT100__ACQ_SIZE100__N_ACQ15/seed5/results.json.
2023-02-27 11:13:51
[2023-02-27 12:13:51,508][root][INFO] - Experiment took 89.81 minutes