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update model card README.md

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@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0602
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- - Precision: 0.9370
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- - Recall: 0.9509
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- - F1: 0.9439
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- - Accuracy: 0.9864
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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- | 0.0803 | 1.0 | 1756 | 0.0857 | 0.9059 | 0.9302 | 0.9179 | 0.9802 |
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- | 0.0413 | 2.0 | 3512 | 0.0578 | 0.9248 | 0.9483 | 0.9364 | 0.9858 |
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- | 0.0259 | 3.0 | 5268 | 0.0602 | 0.9370 | 0.9509 | 0.9439 | 0.9864 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0592
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+ - Precision: 0.9332
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+ - Recall: 0.9497
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+ - F1: 0.9414
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+ - Accuracy: 0.9862
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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+ | 0.0779 | 1.0 | 1756 | 0.0688 | 0.9155 | 0.9371 | 0.9261 | 0.9824 |
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+ | 0.0401 | 2.0 | 3512 | 0.0550 | 0.9328 | 0.9483 | 0.9405 | 0.9860 |
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+ | 0.0267 | 3.0 | 5268 | 0.0592 | 0.9332 | 0.9497 | 0.9414 | 0.9862 |
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  ### Framework versions