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Timestamps visible
2023-02-01 17:31:07
Testing: [ 0/63] eta: 0:00:47 loss: 0.3231 (0.3231) batch_acc: 91.2500 (91.2500) batch_f1: 0.7518 (0.7518) batch_acc_balanced: 0.7500 (0.7500) time: 0.7502 data: 0.0253 max mem: 15583
2023-02-01 17:31:08
/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
2023-02-01 17:31:08
  warnings.warn("y_pred contains classes not in y_true")
2023-02-01 17:31:25
Testing: [25/63] eta: 0:00:28 loss: 0.2674 (0.2781) batch_acc: 90.0000 (90.8173) batch_f1: 0.5932 (0.6198) batch_acc_balanced: 0.6123 (0.6403) time: 0.7503 data: 0.0250 max mem: 15583
2023-02-01 17:31:43
Testing: [50/63] eta: 0:00:09 loss: 0.1969 (0.2585) batch_acc: 91.2500 (91.0784) batch_f1: 0.6103 (0.6314) batch_acc_balanced: 0.6290 (0.6516) time: 0.7486 data: 0.0250 max mem: 15583
2023-02-01 17:31:53
Testing: Total time: 0:00:46
2023-02-01 17:31:53
Epoch [4]: Test Loss: 0.2538,         Test Accuracy: 91.4366
2023-02-01 17:31:53
--------------------------------------------------------------------------------
2023-02-01 17:31:53
[2023-02-01 18:31:52,014][root][INFO] - Evaluation took 0.78 minutes
2023-02-01 17:31:53
[2023-02-01 18:31:52,014][root][INFO] - Evaluation stats: {'test_loss_epoch': 0.25376063940070925, 'test_batch_acc_epoch': 91.43657462679896, 'test_batch_f1_epoch': 0.6445393702825145, 'test_batch_acc_balanced_epoch': 0.6634386624845007}
2023-02-01 17:31:53
[2023-02-01 18:31:52,015][root][INFO] - Saving checkpoint for cycle 15
2023-02-01 17:31:57
[2023-02-01 18:31:55,965][root][INFO] - Saving results to /mnt/work/glae/glae-results/fnc1/bert/badge/nosub/N_INIT100__ACQ_SIZE100__N_ACQ15/seed5/results.json
2023-02-01 17:31:57
Saving results to /mnt/work/glae/glae-results/fnc1/bert/badge/nosub/N_INIT100__ACQ_SIZE100__N_ACQ15/seed5/results.json.
2023-02-01 17:31:57
[2023-02-01 18:31:56,390][root][INFO] - Experiment took 148.02 minutes