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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: 0.5480080758935534
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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: 0.8545
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- - Matthews Correlation: 0.5480
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  ## Model description
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@@ -57,17 +57,14 @@ 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: 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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- | 0.5251 | 1.0 | 535 | 0.5366 | 0.4037 |
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- | 0.3469 | 2.0 | 1070 | 0.5200 | 0.4807 |
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- | 0.2351 | 3.0 | 1605 | 0.5809 | 0.5140 |
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- | 0.1742 | 4.0 | 2140 | 0.7780 | 0.5301 |
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- | 0.1226 | 5.0 | 2675 | 0.8545 | 0.5480 |
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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: 0.4927793660353066
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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: 0.5040
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+ - Matthews Correlation: 0.4928
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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: 2
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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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+ | 0.523 | 1.0 | 535 | 0.5027 | 0.4210 |
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+ | 0.3553 | 2.0 | 1070 | 0.5040 | 0.4928 |
 
 
 
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  ### Framework versions