Writing logs to ./outputs/2024-03-04-17-36-59-095657/train_log.txt.
Wrote original training args to ./outputs/2024-03-04-17-36-59-095657/training_args.json.
***** Running training *****
  Num examples = 50000
  Num epochs = 10
  Num clean epochs = 10
  Instantaneous batch size per device = 16
  Total train batch size (w. parallel, distributed & accumulation) = 16
  Gradient accumulation steps = 1
  Total optimization steps = 31250
==========================================================
Epoch 1
Running clean epoch 1/10
Train accuracy: 78.91%
Eval accuracy: 87.58%
Best score found. Saved model to ./outputs/2024-03-04-17-36-59-095657/best_model/
==========================================================
Epoch 2
Running clean epoch 2/10
Train accuracy: 90.36%
Eval accuracy: 88.42%
Best score found. Saved model to ./outputs/2024-03-04-17-36-59-095657/best_model/
==========================================================
Epoch 3
Running clean epoch 3/10
Train accuracy: 94.05%
Eval accuracy: 88.36%
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Epoch 4
Running clean epoch 4/10
Train accuracy: 96.72%
Eval accuracy: 87.84%
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Epoch 5
Running clean epoch 5/10
Train accuracy: 98.54%
Eval accuracy: 87.60%
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Epoch 6
Running clean epoch 6/10
Train accuracy: 99.33%
Eval accuracy: 86.59%
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Epoch 7
Running clean epoch 7/10
Train accuracy: 99.75%
Eval accuracy: 86.52%
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Epoch 8
Running clean epoch 8/10
Train accuracy: 99.91%
Eval accuracy: 86.28%
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Epoch 9
Running clean epoch 9/10
Train accuracy: 99.96%
Eval accuracy: 86.42%
==========================================================
Epoch 10
Running clean epoch 10/10
Train accuracy: 99.96%
Eval accuracy: 86.06%
Wrote README to ./outputs/2024-03-04-17-36-59-095657/README.md.