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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: 0.5032312800977334
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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: 0.7160
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- - Matthews Correlation: 0.5032
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  ## Model description
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@@ -55,15 +55,17 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 3
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
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  |:-------------:|:-----:|:----:|:---------------:|:--------------------:|
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- | 0.3674 | 1.0 | 535 | 0.4955 | 0.4747 |
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- | 0.2908 | 2.0 | 1070 | 0.5900 | 0.4923 |
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- | 0.2021 | 3.0 | 1605 | 0.7160 | 0.5032 |
 
 
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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: 0.522211073949747
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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: 1.0789
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+ - Matthews Correlation: 0.5222
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  ## Model description
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 5
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
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  |:-------------:|:-----:|:----:|:---------------:|:--------------------:|
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+ | 0.1472 | 1.0 | 535 | 0.8407 | 0.4915 |
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+ | 0.1365 | 2.0 | 1070 | 0.9236 | 0.4990 |
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+ | 0.1194 | 3.0 | 1605 | 0.8753 | 0.4953 |
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+ | 0.1313 | 4.0 | 2140 | 0.9684 | 0.5013 |
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+ | 0.0895 | 5.0 | 2675 | 1.0789 | 0.5222 |
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  ### Framework versions