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update model card README.md

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@@ -17,11 +17,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model was trained from scratch on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2338
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- - Accuracy: 0.9388
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- - Precision: 0.8813
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- - Recall: 0.9388
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- - F1 Score: 0.9091
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  ## Model description
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@@ -53,9 +53,9 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 Score |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:--------:|
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- | 0.2704 | 1.0 | 507 | 0.2323 | 0.9388 | 0.8813 | 0.9388 | 0.9091 |
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- | 0.2884 | 2.0 | 1014 | 0.2311 | 0.9388 | 0.8813 | 0.9388 | 0.9091 |
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- | 0.2175 | 3.0 | 1521 | 0.2338 | 0.9388 | 0.8813 | 0.9388 | 0.9091 |
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  ### Framework versions
 
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  This model was trained from scratch on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0956
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+ - Accuracy: 0.9714
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+ - Precision: 0.9704
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+ - Recall: 0.9714
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+ - F1 Score: 0.9708
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 Score |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:--------:|
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+ | 0.2725 | 1.0 | 507 | 0.2315 | 0.9388 | 0.8813 | 0.9388 | 0.9091 |
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+ | 0.2883 | 2.0 | 1014 | 0.2167 | 0.9388 | 0.8813 | 0.9388 | 0.9091 |
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+ | 0.0762 | 3.0 | 1521 | 0.0956 | 0.9714 | 0.9704 | 0.9714 | 0.9708 |
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  ### Framework versions