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update model card README.md

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@@ -19,7 +19,7 @@ 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: 0.5546789239242798
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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
@@ -29,8 +29,8 @@ 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: 0.8421
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- - Matthews Correlation: 0.5547
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  ## Model description
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@@ -61,11 +61,11 @@ 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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- | 0.5243 | 1.0 | 535 | 0.5428 | 0.4201 |
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- | 0.3497 | 2.0 | 1070 | 0.5010 | 0.5239 |
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- | 0.2388 | 3.0 | 1605 | 0.6261 | 0.5259 |
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- | 0.1714 | 4.0 | 2140 | 0.7664 | 0.5461 |
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- | 0.1269 | 5.0 | 2675 | 0.8421 | 0.5547 |
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  ### Framework versions
 
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  metrics:
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  - name: Matthews Correlation
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  type: matthews_correlation
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+ value: 0.5224154837835395
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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: 0.8623
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+ - Matthews Correlation: 0.5224
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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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+ | 0.5278 | 1.0 | 535 | 0.5223 | 0.4007 |
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+ | 0.3515 | 2.0 | 1070 | 0.5150 | 0.4993 |
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+ | 0.2391 | 3.0 | 1605 | 0.6471 | 0.5103 |
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+ | 0.1841 | 4.0 | 2140 | 0.7640 | 0.5153 |
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+ | 0.1312 | 5.0 | 2675 | 0.8623 | 0.5224 |
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  ### Framework versions