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Group: bert_fulltraining_fnc1

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2023-02-18 15:50:22

[2023-02-18 16:50:21,331][root][INFO] - Training stats: {'train_lr_epoch': 2.4999999999999998e-05, 'train_loss_epoch': 0.0517822689774356, 'train_batch_acc_epoch': 98.82352941176471}

2023-02-18 15:50:22

> Evaluation.

2023-02-18 15:50:22

[2023-02-18 16:50:21,331][root][INFO] - Evaluation with 4998 sample

2023-02-18 15:50:24

Testing: [ 0/63] eta: 0:00:48 loss: 0.0851 (0.0851) batch_acc: 98.7500 (98.7500) batch_f1: 0.9875 (0.9875) batch_acc_balanced: 0.9940 (0.9940) time: 0.7710 data: 0.0375 max mem: 15195

2023-02-18 15:50:42

Testing: [25/63] eta: 0:00:28 loss: 0.0036 (0.0398) batch_acc: 100.0000 (99.0385) batch_f1: 1.0000 (0.9617) batch_acc_balanced: 1.0000 (0.9644) time: 0.7527 data: 0.0215 max mem: 15195

2023-02-18 15:51:00

Testing: [50/63] eta: 0:00:09 loss: 0.0013 (0.0429) batch_acc: 100.0000 (99.0686) batch_f1: 1.0000 (0.9614) batch_acc_balanced: 1.0000 (0.9660) time: 0.7530 data: 0.0213 max mem: 15195

2023-02-18 15:51:10

Testing: Total time: 0:00:47

2023-02-18 15:51:10

Epoch [0]: Test Loss: 0.0440, Test Accuracy: 99.0596

2023-02-18 15:51:10

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2023-02-18 15:51:10

[2023-02-18 16:51:08,421][root][INFO] - Evaluation took 0.78 minutes

2023-02-18 15:51:10

[2023-02-18 16:51:08,421][root][INFO] - Evaluation stats: {'test_loss_epoch': 0.04403385388552181, 'test_batch_acc_epoch': 99.0596238678577, 'test_batch_f1_epoch': 0.9605023317938411, 'test_batch_acc_balanced_epoch': 0.9670247103557646}

2023-02-18 15:51:10

[2023-02-18 16:51:08,423][root][INFO] - Saving checkpoint for cycle 4

2023-02-18 15:51:10

[2023-02-18 16:51:08,463][root][INFO] - Saving results to /mnt/work/glae/glae-results/fnc1/bert/fulltraining/seed5/results.json

2023-02-18 15:51:10

Saving results to /mnt/work/glae/glae-results/fnc1/bert/fulltraining/seed5/results.json.

2023-02-18 15:51:10

[2023-02-18 16:51:08,574][root][INFO] - Experiment took 111.93 minutes