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update model card README.md

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@@ -22,7 +22,7 @@ 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: 0.43049322800749606
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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
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the glue dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4928
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- - Matthews Correlation: 0.4305
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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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- | 0.595 | 1.0 | 535 | 0.4928 | 0.4305 |
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- | 0.3838 | 2.0 | 1070 | 0.5257 | 0.4305 |
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  ### Framework versions
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  - Transformers 4.31.0
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  - Pytorch 2.0.1+cu118
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- - Datasets 2.14.2
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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: 0.4371151083758757
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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 [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the glue dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5359
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+ - Matthews Correlation: 0.4371
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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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+ | 0.5984 | 1.0 | 535 | 0.5110 | 0.4142 |
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+ | 0.3848 | 2.0 | 1070 | 0.5359 | 0.4371 |
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  ### Framework versions
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  - Transformers 4.31.0
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  - Pytorch 2.0.1+cu118
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+ - Datasets 2.14.3
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  - Tokenizers 0.13.3