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2023-02-20 02:16:29
  warnings.warn("y_pred contains classes not in y_true")
2023-02-20 02:16:33
Testing: [50/63] eta: 0:00:09 loss: 0.2641 (0.2634) batch_acc: 96.2500 (96.4951) batch_f1: 0.8141 (0.8214) batch_acc_balanced: 0.8291 (0.8275) time: 0.7269 data: 0.0233 max mem: 15960
2023-02-20 02:16:35
/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
2023-02-20 02:16:35
  warnings.warn("y_pred contains classes not in y_true")
2023-02-20 02:16:41
/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
2023-02-20 02:16:41
  warnings.warn("y_pred contains classes not in y_true")
2023-02-20 02:16:43
Testing: Total time: 0:00:45
2023-02-20 02:16:43
Epoch [14]: Test Loss: 0.2663,         Test Accuracy: 96.4586
2023-02-20 02:16:43
--------------------------------------------------------------------------------
2023-02-20 02:16:43
[2023-02-20 03:16:41,501][root][INFO] - Evaluation took 0.76 minutes
2023-02-20 02:16:43
[2023-02-20 03:16:41,501][root][INFO] - Evaluation stats: {'test_loss_epoch': 0.2662715025297884, 'test_batch_acc_epoch': 96.45858345169123, 'test_batch_f1_epoch': 0.8097129491670261, 'test_batch_acc_balanced_epoch': 0.8222857148481282}
2023-02-20 02:16:43
[2023-02-20 03:16:41,502][root][INFO] - Saving checkpoint for cycle 15
2023-02-20 02:16:49
[2023-02-20 03:16:47,432][root][INFO] - Saving results to /mnt/work/glae/glae-results/fnc1/roberta/badge/15_ep/N_INIT100__ACQ_SIZE100__N_ACQ15/seed5/results.json
2023-02-20 02:16:49
Saving results to /mnt/work/glae/glae-results/fnc1/roberta/badge/15_ep/N_INIT100__ACQ_SIZE100__N_ACQ15/seed5/results.json.
2023-02-20 02:16:49
[2023-02-20 03:16:47,987][root][INFO] - Experiment took 144.23 minutes