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update model card README.md

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@@ -17,9 +17,9 @@ 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: 0.0153
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- - Accuracy: 0.9958
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- - F1: 0.9958
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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 | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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- | 0.4141 | 1.0 | 561 | 0.0925 | 0.9741 | 0.9741 |
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- | 0.1622 | 2.0 | 1122 | 0.0275 | 0.9942 | 0.9942 |
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- | 0.0806 | 3.0 | 1683 | 0.0153 | 0.9958 | 0.9958 |
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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: 0.4410
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+ - Accuracy: 0.8550
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+ - F1: 0.8557
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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 | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | 0.4141 | 1.0 | 561 | 0.3768 | 0.8540 | 0.8545 |
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+ | 0.1774 | 2.0 | 1122 | 0.4410 | 0.8550 | 0.8557 |
 
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  ### Framework versions