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2023-02-05 22:35:15
Testing: [25/63] eta: 0:00:11 loss: 0.6834 (0.7035) batch_acc: 72.5000 (72.1635) batch_f1: 0.4652 (0.4988) batch_acc_balanced: 0.4991 (0.5372) time: 0.2952 data: 0.0226 max mem: 7948
2023-02-05 22:35:15
  warnings.warn("y_pred contains classes not in y_true")/lib/python3.9/site-packages/sklearn/metrics/_classification.py:1999: UserWarning: y_pred contains classes not in y_true
2023-02-05 22:35:21
Testing: [50/63] eta: 0:00:03 loss: 0.6111 (0.6711) batch_acc: 75.0000 (73.1863) batch_f1: 0.5134 (0.5199) batch_acc_balanced: 0.5900 (0.5580) time: 0.2947 data: 0.0222 max mem: 7948
2023-02-05 22:35:23
/mnt/stud/home/mwirth/.conda/envs/uncertainty_evaluation/lib/python3.9/site-packages/sklearn/metrics/_classification.py:1999: UserWarning: y_pred contains classes not in y_true
2023-02-05 22:35:23
/mnt/stud/home/mwirth/.conda/envs/uncertainty_evaluation/lib/python3.9/site-packages/sklearn/metrics/_classification.py:1999: UserWarning: y_pred contains classes not in y_true
2023-02-05 22:35:25
Testing: Total time: 0:00:18
2023-02-05 22:35:25
Epoch [4]: Test Loss: 0.6599,         Test Accuracy: 73.5494
2023-02-05 22:35:25
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2023-02-05 22:35:25
[2023-02-05 23:35:24,420][root][INFO] - Evaluation took 0.31 minutes
2023-02-05 22:35:25
[2023-02-05 23:35:24,420][root][INFO] - Evaluation stats: {'test_loss_epoch': 0.65988266278827, 'test_batch_acc_epoch': 73.54941978011908, 'test_batch_f1_epoch': 0.5248503071348168, 'test_batch_acc_balanced_epoch': 0.5677365615877793}
2023-02-05 22:35:25
[2023-02-05 23:35:24,421][root][INFO] - Saving checkpoint for cycle 60
2023-02-05 22:35:27
[2023-02-05 23:35:26,321][root][INFO] - Saving results to /mnt/work/glae/glae-results/fnc1/distilbert/uncertainty/N_INIT100__ACQ_SIZE25__N_ACQ60/seed5/results.json
2023-02-05 22:35:27
Saving results to /mnt/work/glae/glae-results/fnc1/distilbert/uncertainty/N_INIT100__ACQ_SIZE25__N_ACQ60/seed5/results.json.
2023-02-05 22:35:27
[2023-02-05 23:35:27,396][root][INFO] - Experiment took 112.80 minutes