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update model card README.md

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@@ -21,7 +21,7 @@ model-index:
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  metrics:
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  - name: Matthews Correlation
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  type: matthews_correlation
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- value: 0.5183172956405748
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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
@@ -31,8 +31,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the glue dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4531
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- - Matthews Correlation: 0.5183
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  ## Model description
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@@ -63,12 +63,12 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
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  |:-------------:|:-----:|:----:|:---------------:|:--------------------:|
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- | 0.4926 | 1.0 | 535 | 0.4531 | 0.5183 |
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  ### Framework versions
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  - Transformers 4.28.1
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  - Pytorch 2.0.0+cu118
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- - Datasets 2.11.0
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  - Tokenizers 0.13.3
 
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  metrics:
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  - name: Matthews Correlation
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  type: matthews_correlation
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+ value: 0.5163776290121631
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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 [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the glue dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4644
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+ - Matthews Correlation: 0.5164
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
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  |:-------------:|:-----:|:----:|:---------------:|:--------------------:|
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+ | 0.4915 | 1.0 | 535 | 0.4644 | 0.5164 |
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  ### Framework versions
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  - Transformers 4.28.1
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  - Pytorch 2.0.0+cu118
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+ - Datasets 2.12.0
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  - Tokenizers 0.13.3