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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: 16
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- - eval_batch_size: 32
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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: 2
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- ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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- |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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- | 0.167 | 1.0 | 477 | 0.0806 | 0.8654 | 0.9062 | 0.8853 | 0.9750 |
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- | 0.0553 | 2.0 | 954 | 0.0728 | 0.9189 | 0.9301 | 0.9245 | 0.9803 |
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  ### Framework versions
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  More information needed
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  ### Framework versions
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