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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: 0.5303243504311796
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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: 0.7201
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- - Matthews Correlation: 0.5303
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  ## Model description
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@@ -61,16 +61,16 @@ 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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- | 0.5297 | 1.0 | 535 | 0.4998 | 0.4239 |
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- | 0.3558 | 2.0 | 1070 | 0.5067 | 0.5022 |
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- | 0.2426 | 3.0 | 1605 | 0.6199 | 0.5067 |
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- | 0.1863 | 4.0 | 2140 | 0.7201 | 0.5303 |
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- | 0.1266 | 5.0 | 2675 | 0.8710 | 0.5143 |
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  ### Framework versions
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- - Transformers 4.17.0
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  - Pytorch 1.10.0+cu111
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  - Datasets 2.0.0
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- - Tokenizers 0.12.0
 
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  metrics:
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  - name: Matthews Correlation
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  type: matthews_correlation
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+ value: 0.5340667882909217
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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: 0.8951
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+ - Matthews Correlation: 0.5341
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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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+ | 0.5228 | 1.0 | 535 | 0.5433 | 0.3978 |
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+ | 0.3485 | 2.0 | 1070 | 0.5720 | 0.4775 |
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+ | 0.2365 | 3.0 | 1605 | 0.6897 | 0.5014 |
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+ | 0.1707 | 4.0 | 2140 | 0.7869 | 0.5086 |
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+ | 0.1301 | 5.0 | 2675 | 0.8951 | 0.5341 |
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  ### Framework versions
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+ - Transformers 4.18.0
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  - Pytorch 1.10.0+cu111
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  - Datasets 2.0.0
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+ - Tokenizers 0.11.6