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  ## Training procedure
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- ### Training hyperparameters
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- The following hyperparameters were used during training:
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- - learning_rate: 2e-05
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- - train_batch_size: 5
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- - eval_batch_size: 5
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- - seed: 42
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- - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- - lr_scheduler_type: linear
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- - num_epochs: 5
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-
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- ### Training results
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-
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- | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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- |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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- | 0.56 | 1.0 | 24 | 0.4072 | 0.8214 | 0.8248 |
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- | 0.3144 | 2.0 | 48 | 0.2016 | 0.9286 | 0.9275 |
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- | 0.1469 | 3.0 | 72 | 0.1103 | 0.9643 | 0.9643 |
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- | 0.0986 | 4.0 | 96 | 0.0963 | 0.9821 | 0.9822 |
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- | 0.0768 | 5.0 | 120 | 0.0735 | 0.9643 | 0.9643 |
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  ### Framework versions
 
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  ## Training procedure
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  ### Framework versions