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update model card README.md

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@@ -18,8 +18,8 @@ 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 swag dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4995
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- - Accuracy: 0.8303
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 1.0188 | 1.0 | 2298 | 0.5664 | 0.7779 |
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- | 0.2376 | 2.0 | 4596 | 0.4749 | 0.8192 |
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- | 0.2322 | 3.0 | 6894 | 0.4995 | 0.8303 |
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  ### Framework versions
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  - Transformers 4.20.1
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  - Pytorch 1.10.0+cpu
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- - Datasets 2.7.0
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  - Tokenizers 0.12.1
 
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  This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the swag dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4753
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+ - Accuracy: 0.8242
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 1.45 | 1.0 | 2298 | 1.3857 | 0.4485 |
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+ | 0.3628 | 2.0 | 4596 | 0.4802 | 0.8163 |
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+ | 0.1821 | 3.0 | 6894 | 0.4753 | 0.8242 |
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  ### Framework versions
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  - Transformers 4.20.1
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  - Pytorch 1.10.0+cpu
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+ - Datasets 2.7.1
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  - Tokenizers 0.12.1