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update model card README.md

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@@ -25,7 +25,7 @@ model-index:
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  value: 0.8382352941176471
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  - name: F1
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  type: f1
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- value: 0.8829787234042553
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -35,9 +35,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the glue dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4352
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  - Accuracy: 0.8382
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- - F1: 0.8830
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  ## Model description
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@@ -68,8 +68,8 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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- | 0.3361 | 1.09 | 500 | 0.4352 | 0.8382 | 0.8830 |
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- | 0.313 | 2.18 | 1000 | 0.4352 | 0.8382 | 0.8830 |
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  ### Framework versions
 
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  value: 0.8382352941176471
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  - name: F1
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  type: f1
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+ value: 0.8804347826086956
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the glue dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6256
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  - Accuracy: 0.8382
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+ - F1: 0.8804
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | 0.516 | 1.09 | 500 | 0.4554 | 0.8260 | 0.8725 |
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+ | 0.358 | 2.18 | 1000 | 0.6256 | 0.8382 | 0.8804 |
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  ### Framework versions