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End of training

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  1. README.md +7 -7
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@@ -13,7 +13,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 7.9301
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 0.01
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  - train_batch_size: 16
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  - eval_batch_size: 16
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  - seed: 42
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 9.2035 | 0.06 | 100 | 8.1180 |
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- | 8.0969 | 0.12 | 200 | 8.0501 |
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- | 8.002 | 0.19 | 300 | 8.0142 |
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- | 8.0026 | 0.25 | 400 | 7.9677 |
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- | 7.9075 | 0.31 | 500 | 7.9301 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 7.9694
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 0.1
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  - train_batch_size: 16
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  - eval_batch_size: 16
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  - seed: 42
 
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 14.7772 | 0.06 | 100 | 8.6683 |
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+ | 9.1925 | 0.12 | 200 | 9.1429 |
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+ | 8.6946 | 0.19 | 300 | 10.0975 |
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+ | 8.3986 | 0.25 | 400 | 8.3313 |
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+ | 8.0251 | 0.31 | 500 | 7.9694 |
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  ### Framework versions