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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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6358
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- - Accuracy: 0.6565
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  ## Model description
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@@ -42,15 +42,17 @@ 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 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 0.6719 | 1.0 | 516 | 0.6388 | 0.6361 |
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- | 0.5898 | 2.0 | 1032 | 0.6358 | 0.6565 |
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- | 0.4641 | 3.0 | 1548 | 0.7219 | 0.6414 |
 
 
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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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6920
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+ - Accuracy: 0.6376
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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 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.6873 | 1.0 | 516 | 0.6706 | 0.5769 |
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+ | 0.6256 | 2.0 | 1032 | 0.6424 | 0.6366 |
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+ | 0.5197 | 3.0 | 1548 | 0.6920 | 0.6376 |
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+ | 0.3814 | 4.0 | 2064 | 0.8641 | 0.6361 |
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+ | 0.2589 | 5.0 | 2580 | 1.0249 | 0.6249 |
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  ### Framework versions