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update model card README.md

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@@ -19,11 +19,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.6784
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- - Accuracy: 0.6461
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- - F1: 0.6431
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- - Precision: 0.6495
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- - Recall: 0.6465
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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- | 0.3907 | 1.0 | 638 | 1.5790 | 0.6255 | 0.6187 | 0.6627 | 0.5916 |
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- | 0.2556 | 2.0 | 1276 | 1.6784 | 0.6461 | 0.6431 | 0.6495 | 0.6465 |
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- | 0.1754 | 3.0 | 1914 | 2.2469 | 0.6481 | 0.6384 | 0.6483 | 0.6324 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.3797
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+ - Accuracy: 0.6337
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+ - F1: 0.6259
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+ - Precision: 0.6395
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+ - Recall: 0.6155
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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+ | 0.9275 | 1.0 | 638 | 0.8373 | 0.6502 | 0.6579 | 0.6348 | 0.6989 |
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+ | 0.5744 | 2.0 | 1276 | 1.1104 | 0.6337 | 0.6187 | 0.6332 | 0.6225 |
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+ | 0.334 | 3.0 | 1914 | 1.3797 | 0.6337 | 0.6259 | 0.6395 | 0.6155 |
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  ### Framework versions