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2023-01-19 11:00:03
  warnings.warn("y_pred contains classes not in y_true")
2023-01-19 11:00:07
Testing: [25/63] eta: 0:00:11 loss: 0.5646 (0.5918) batch_acc: 81.2500 (80.8173) batch_f1: 0.4688 (0.5087) batch_acc_balanced: 0.4735 (0.4971) time: 0.2903 data: 0.0293 max mem: 7948
2023-01-19 11:00:13
Testing: [50/63] eta: 0:00:03 loss: 0.5280 (0.5673) batch_acc: 80.0000 (81.3235) batch_f1: 0.5050 (0.5221) batch_acc_balanced: 0.4712 (0.5121) time: 0.2897 data: 0.0289 max mem: 7948
2023-01-19 11:00:15
/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
2023-01-19 11:00:15
  warnings.warn("y_pred contains classes not in y_true")
2023-01-19 11:00:17
Testing: Total time: 0:00:18
2023-01-19 11:00:17
Epoch [4]: Test Loss: 0.5672,         Test Accuracy: 81.3325
2023-01-19 11:00:17
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2023-01-19 11:00:17
[2023-01-19 12:00:15,942][root][INFO] - Evaluation took 0.30 minutes
2023-01-19 11:00:17
[2023-01-19 12:00:15,942][root][INFO] - Evaluation stats: {'test_loss_epoch': 0.5672227905856239, 'test_batch_acc_epoch': 81.33253302541719, 'test_batch_f1_epoch': 0.5187133388553018, 'test_batch_acc_balanced_epoch': 0.5095660717504967}
2023-01-19 11:00:17
[2023-01-19 12:00:15,943][root][INFO] - Saving checkpoint for cycle 15
2023-01-19 11:00:19
[2023-01-19 12:00:18,620][root][INFO] - Saving results to /mnt/work/lrauch/glae-results/fnc1/distilbert/uncertainty/N_INIT100__ACQ_SIZE100__N_ACQ15/seed5/results.json
2023-01-19 11:00:19
Saving results to /mnt/work/lrauch/glae-results/fnc1/distilbert/uncertainty/N_INIT100__ACQ_SIZE100__N_ACQ15/seed5/results.json.
2023-01-19 11:00:21
[2023-01-19 12:00:19,011][root][INFO] - Experiment took 28.82 minutes