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update model card README.md

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@@ -17,10 +17,10 @@ should probably proofread and complete it, then remove this comment. -->
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  This model was trained from scratch on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4955
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- - Precision: 0.7674
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- - Recall: 0.7769
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- - F1: 0.7666
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  ## Model description
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@@ -51,9 +51,9 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|
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- | No log | 1.0 | 61 | 0.4786 | 0.7709 | 0.7746 | 0.7724 |
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- | No log | 2.0 | 122 | 0.4696 | 0.7810 | 0.7799 | 0.7804 |
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- | No log | 3.0 | 183 | 0.4955 | 0.7674 | 0.7769 | 0.7666 |
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  ### Framework versions
 
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  This model was trained from scratch on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5732
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+ - Precision: 0.7645
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+ - Recall: 0.7720
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+ - F1: 0.7665
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|
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+ | No log | 1.0 | 61 | 0.4863 | 0.7687 | 0.7644 | 0.7663 |
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+ | No log | 2.0 | 122 | 0.5434 | 0.7709 | 0.7691 | 0.7699 |
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+ | No log | 3.0 | 183 | 0.5732 | 0.7645 | 0.7720 | 0.7665 |
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  ### Framework versions