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update model card README.md

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@@ -21,7 +21,7 @@ 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: 0.5463170422325025
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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
@@ -31,8 +31,8 @@ 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: 0.8297
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- - Matthews Correlation: 0.5463
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  ## Model description
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@@ -51,10 +51,10 @@ 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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- | 0.1234 | 1.0 | 535 | 0.8387 | 0.5354 |
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- | 0.0955 | 2.0 | 1070 | 0.8297 | 0.5463 |
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- | 0.0898 | 3.0 | 1605 | 0.8297 | 0.5463 |
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- | 0.1039 | 4.0 | 2140 | 0.8297 | 0.5463 |
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- | 0.088 | 5.0 | 2675 | 0.8297 | 0.5463 |
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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: 0.3549354045919057
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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: 0.8744
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+ - Matthews Correlation: 0.3549
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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: 1.705152204400204e-05
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+ - train_batch_size: 8
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  - eval_batch_size: 16
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+ - seed: 39
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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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+ | No log | 1.0 | 107 | 0.5696 | 0.1474 |
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+ | No log | 2.0 | 214 | 0.5700 | 0.2981 |
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+ | No log | 3.0 | 321 | 0.6856 | 0.3437 |
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+ | No log | 4.0 | 428 | 0.8744 | 0.3549 |
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+ | 0.3495 | 5.0 | 535 | 0.9641 | 0.3295 |
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  ### Framework versions