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update model card README.md

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@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.7184
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- - Accuracy: 0.7210
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  ## Model description
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@@ -42,16 +42,15 @@ 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: 4
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 0.6182 | 1.0 | 586 | 0.5384 | 0.6997 |
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- | 0.4979 | 2.0 | 1172 | 0.5136 | 0.7210 |
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- | 0.3815 | 3.0 | 1758 | 0.6158 | 0.7218 |
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- | 0.3048 | 4.0 | 2344 | 0.7184 | 0.7210 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5920
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+ - Accuracy: 0.7509
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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: 3
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.6036 | 1.0 | 546 | 0.5375 | 0.7225 |
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+ | 0.4581 | 2.0 | 1092 | 0.5385 | 0.7335 |
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+ | 0.3492 | 3.0 | 1638 | 0.5920 | 0.7509 |
 
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  ### Framework versions