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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 is a fine-tuned version of [aubmindlab/bert-base-arabertv02](https://huggingface.co/aubmindlab/bert-base-arabertv02) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2667
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- - Macro F1: 0.8831
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- - Accuracy: 0.8867
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- - Precision: 0.8826
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- - Recall: 0.8837
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Macro F1 | Accuracy | Precision | Recall |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:---------:|:------:|
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- | 0.296 | 1.0 | 798 | 0.2754 | 0.8729 | 0.8786 | 0.8795 | 0.8684 |
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- | 0.2126 | 2.0 | 1596 | 0.2667 | 0.8831 | 0.8867 | 0.8826 | 0.8837 |
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- | 0.1719 | 3.0 | 2394 | 0.3204 | 0.8780 | 0.8815 | 0.8768 | 0.8794 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02](https://huggingface.co/aubmindlab/bert-base-arabertv02) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1603
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+ - Macro F1: 0.9387
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+ - Accuracy: 0.9410
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+ - Precision: 0.9415
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+ - Recall: 0.9363
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Macro F1 | Accuracy | Precision | Recall |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:---------:|:------:|
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+ | 0.3283 | 1.0 | 798 | 0.1603 | 0.9387 | 0.9410 | 0.9415 | 0.9363 |
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+ | 0.2274 | 2.0 | 1596 | 0.1826 | 0.9254 | 0.9271 | 0.9225 | 0.9298 |
 
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  ### Framework versions