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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: 0.5233331906511532
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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: 0.4712
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- - Matthews Correlation: 0.5233
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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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- | 0.4783 | 1.0 | 535 | 0.4712 | 0.5233 |
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  ### Framework versions
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  - Transformers 4.28.1
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- - Pytorch 2.0.0
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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: 0.5269760296374377
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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: 0.4483
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+ - Matthews Correlation: 0.5270
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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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+ | 0.4884 | 1.0 | 535 | 0.4483 | 0.5270 |
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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