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2023-01-29 13:46:00
Testing: [ 0/63] eta: 0:00:55 loss: 0.2316 (0.2316) batch_acc: 90.0000 (90.0000) batch_f1: 0.6711 (0.6711) batch_acc_balanced: 0.6887 (0.6887) time: 0.8872 data: 0.0286 max mem: 13493
2023-01-29 13:46:20
/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
2023-01-29 13:46:20
  warnings.warn("y_pred contains classes not in y_true")
2023-01-29 13:46:22
Testing: [25/63] eta: 0:00:33 loss: 0.2203 (0.2227) batch_acc: 91.2500 (92.0192) batch_f1: 0.6052 (0.6522) batch_acc_balanced: 0.6429 (0.6696) time: 0.8786 data: 0.0231 max mem: 13493
2023-01-29 13:46:44
Testing: [50/63] eta: 0:00:11 loss: 0.1743 (0.2125) batch_acc: 93.7500 (92.6225) batch_f1: 0.7442 (0.6873) batch_acc_balanced: 0.7509 (0.6984) time: 0.8785 data: 0.0236 max mem: 13493
2023-01-29 13:46:54
Testing: Total time: 0:00:54
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Epoch [4]: Test Loss: 0.2075,         Test Accuracy: 92.9772
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2023-01-29 13:46:54
[2023-01-29 14:46:53,505][root][INFO] - Evaluation took 0.92 minutes
2023-01-29 13:46:54
[2023-01-29 14:46:53,505][root][INFO] - Evaluation stats: {'test_loss_epoch': 0.20749093272856303, 'test_batch_acc_epoch': 92.97719089466841, 'test_batch_f1_epoch': 0.697162315629706, 'test_batch_acc_balanced_epoch': 0.708764216076944}
2023-01-29 13:46:54
[2023-01-29 14:46:53,506][root][INFO] - Saving checkpoint for cycle 15
2023-01-29 13:46:56
[2023-01-29 14:46:54,164][root][INFO] - Saving results to /mnt/stud/home/mwirth/glae-results/fnc1/albert/uncertainty/N_INIT100__ACQ_SIZE100__N_ACQ15/seed5/results.json
2023-01-29 13:46:56
Saving results to /mnt/stud/home/mwirth/glae-results/fnc1/albert/uncertainty/N_INIT100__ACQ_SIZE100__N_ACQ15/seed5/results.json.
2023-01-29 13:46:56
[2023-01-29 14:46:54,544][root][INFO] - Experiment took 81.14 minutes