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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: 0.5238644265545664
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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: 0.7685
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- - Matthews Correlation: 0.5239
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  ## Model description
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@@ -49,10 +49,10 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 2e-05
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- - train_batch_size: 16
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  - eval_batch_size: 16
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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 Loss | Epoch | Step | Validation Loss | Matthews Correlation |
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  |:-------------:|:-----:|:----:|:---------------:|:--------------------:|
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- | 0.5217 | 1.0 | 535 | 0.5219 | 0.4327 |
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- | 0.3491 | 2.0 | 1070 | 0.5606 | 0.4805 |
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- | 0.2361 | 3.0 | 1605 | 0.6499 | 0.5206 |
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- | 0.1725 | 4.0 | 2140 | 0.7685 | 0.5239 |
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- | 0.1284 | 5.0 | 2675 | 0.8715 | 0.5156 |
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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: 0.5238347808517775
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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: 1.0766
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+ - Matthews Correlation: 0.5238
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 2.403175733231667e-05
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+ - train_batch_size: 8
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  - eval_batch_size: 16
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+ - seed: 33
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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 Loss | Epoch | Step | Validation Loss | Matthews Correlation |
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  |:-------------:|:-----:|:----:|:---------------:|:--------------------:|
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+ | 0.4954 | 1.0 | 1069 | 0.4770 | 0.4589 |
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+ | 0.3627 | 2.0 | 2138 | 0.5464 | 0.4998 |
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+ | 0.2576 | 3.0 | 3207 | 0.8439 | 0.4933 |
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+ | 0.1488 | 4.0 | 4276 | 1.0184 | 0.5035 |
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+ | 0.1031 | 5.0 | 5345 | 1.0766 | 0.5238 |
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  ### Framework versions