Model save
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README.md
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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:
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- eval_batch_size:
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- seed: 42
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | F1 | Accuracy | Precision | Recall |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|:---------:|:------:|
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| No log | 0 | 0 | 1.1728 | 0.5357 | 0.5 | 0.8676 | 0.5 |
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### Framework versions
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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: 32
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- eval_batch_size: 32
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- seed: 42
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine
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### Training results
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### Framework versions
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