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2023-02-02 03:47:58
  warnings.warn("y_pred contains classes not in y_true")
2023-02-02 03:48:06
Testing: [50/63] eta: 0:00:07 loss: 0.1820 (0.2004) batch_acc: 92.5000 (93.6029) batch_f1: 0.6452 (0.7005) batch_acc_balanced: 0.6847 (0.7079) time: 0.5586 data: 0.0284 max mem: 15960
2023-02-02 03:48:08
/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
2023-02-02 03:48:08
  warnings.warn("y_pred contains classes not in y_true")
2023-02-02 03:48:12
/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
2023-02-02 03:48:12
  warnings.warn("y_pred contains classes not in y_true")
2023-02-02 03:48:15
Testing: Total time: 0:00:34
2023-02-02 03:48:15
Epoch [4]: Test Loss: 0.1963,         Test Accuracy: 93.6975
2023-02-02 03:48:15
--------------------------------------------------------------------------------
2023-02-02 03:48:15
[2023-02-02 04:48:12,800][root][INFO] - Evaluation took 0.58 minutes
2023-02-02 03:48:15
[2023-02-02 04:48:12,801][root][INFO] - Evaluation stats: {'test_loss_epoch': 0.19627258625058902, 'test_batch_acc_epoch': 93.69747900991452, 'test_batch_f1_epoch': 0.6967832445340527, 'test_batch_acc_balanced_epoch': 0.7098637261647769}
2023-02-02 03:48:15
[2023-02-02 04:48:12,802][root][INFO] - Saving checkpoint for cycle 15
2023-02-02 03:48:19
[2023-02-02 04:48:16,845][root][INFO] - Saving results to /mnt/work/glae/glae-results/fnc1/roberta/badge/nosub/N_INIT100__ACQ_SIZE100__N_ACQ15/seed5/results.json
2023-02-02 03:48:19
Saving results to /mnt/work/glae/glae-results/fnc1/roberta/badge/nosub/N_INIT100__ACQ_SIZE100__N_ACQ15/seed5/results.json.
2023-02-02 03:48:19
[2023-02-02 04:48:17,198][root][INFO] - Experiment took 110.45 minutes