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2023-02-26 20:51:04
  warnings.warn("y_pred contains classes not in y_true")
2023-02-26 20:51:08
Testing: [50/63] eta: 0:00:05 loss: 0.4264 (0.5333) batch_acc: 92.5000 (90.6863) batch_f1: 0.6506 (0.6915) batch_acc_balanced: 0.7104 (0.7277) time: 0.3885 data: 0.0241 max mem: 12288
2023-02-26 20:51:10
/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
2023-02-26 20:51:10
  warnings.warn("y_pred contains classes not in y_true")
2023-02-26 20:51:12
Testing: Total time: 0:00:24
2023-02-26 20:51:12
Epoch [14]: Test Loss: 0.5363,         Test Accuracy: 90.5962
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2023-02-26 20:51:12
[2023-02-26 21:51:12,244][root][INFO] - Evaluation took 0.41 minutes
2023-02-26 20:51:12
[2023-02-26 21:51:12,244][root][INFO] - Evaluation stats: {'test_loss_epoch': 0.5362870680493494, 'test_batch_acc_epoch': 90.59623849234518, 'test_batch_f1_epoch': 0.6898672649040746, 'test_batch_acc_balanced_epoch': 0.7297046825314641}
2023-02-26 20:51:12
[2023-02-26 21:51:12,245][root][INFO] - Saving checkpoint for cycle 15
2023-02-26 20:51:12
/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
2023-02-26 20:51:12
  warnings.warn("y_pred contains classes not in y_true")
2023-02-26 20:51:16
[2023-02-26 21:51:16,148][root][INFO] - Saving results to /mnt/work/glae/glae-results/fnc1/distilbert/coreset/15ep/nosub/N_INIT100__ACQ_SIZE100__N_ACQ15/seed5/results.json
2023-02-26 20:51:16
Saving results to /mnt/work/glae/glae-results/fnc1/distilbert/coreset/15ep/nosub/N_INIT100__ACQ_SIZE100__N_ACQ15/seed5/results.json.
2023-02-26 20:51:18
[2023-02-26 21:51:16,509][root][INFO] - Experiment took 121.75 minutes