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update model card README.md

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@@ -17,12 +17,12 @@ 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: 1.0382
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- - Macro F1: 0.7790
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- - Precision: 0.7886
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- - Recall: 0.7919
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- - Kappa: 0.7004
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- - Accuracy: 0.7919
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  ## Model description
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@@ -55,25 +55,25 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Macro F1 | Precision | Recall | Kappa | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:--------:|
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- | No log | 1.0 | 101 | 1.2399 | 0.5520 | 0.5208 | 0.6687 | 0.4616 | 0.6687 |
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- | No log | 2.0 | 203 | 1.0312 | 0.6595 | 0.6248 | 0.7291 | 0.5761 | 0.7291 |
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- | No log | 3.0 | 304 | 0.9357 | 0.6954 | 0.7009 | 0.7488 | 0.6146 | 0.7488 |
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- | No log | 4.0 | 406 | 0.8929 | 0.7333 | 0.7403 | 0.7722 | 0.6573 | 0.7722 |
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- | 0.9705 | 5.0 | 507 | 0.8818 | 0.7479 | 0.7435 | 0.7746 | 0.6679 | 0.7746 |
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- | 0.9705 | 6.0 | 609 | 0.8598 | 0.7634 | 0.7534 | 0.7833 | 0.6845 | 0.7833 |
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- | 0.9705 | 7.0 | 710 | 0.9101 | 0.7592 | 0.7560 | 0.7734 | 0.6744 | 0.7734 |
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- | 0.9705 | 8.0 | 812 | 0.9143 | 0.7759 | 0.7735 | 0.7931 | 0.6999 | 0.7931 |
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- | 0.9705 | 9.0 | 913 | 0.9373 | 0.7771 | 0.7781 | 0.7956 | 0.7038 | 0.7956 |
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- | 0.3052 | 10.0 | 1015 | 0.9829 | 0.7755 | 0.7837 | 0.7906 | 0.6982 | 0.7906 |
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- | 0.3052 | 11.0 | 1116 | 0.9880 | 0.7716 | 0.7749 | 0.7845 | 0.6915 | 0.7845 |
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- | 0.3052 | 12.0 | 1218 | 1.0277 | 0.7740 | 0.7784 | 0.7882 | 0.6950 | 0.7882 |
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- | 0.3052 | 13.0 | 1319 | 1.0352 | 0.7779 | 0.7866 | 0.7906 | 0.6985 | 0.7906 |
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- | 0.3052 | 14.0 | 1421 | 1.0407 | 0.7806 | 0.7901 | 0.7943 | 0.7030 | 0.7943 |
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- | 0.1382 | 14.93 | 1515 | 1.0382 | 0.7790 | 0.7886 | 0.7919 | 0.7004 | 0.7919 |
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  ### Framework versions
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- - Transformers 4.29.2
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  - Pytorch 2.0.1+cu118
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  - Tokenizers 0.13.3
 
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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: 1.0032
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+ - Macro F1: 0.7793
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+ - Precision: 0.7728
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+ - Recall: 0.7931
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+ - Kappa: 0.6958
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+ - Accuracy: 0.7931
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Macro F1 | Precision | Recall | Kappa | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:--------:|
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+ | No log | 1.0 | 101 | 1.2101 | 0.5750 | 0.5001 | 0.6773 | 0.4642 | 0.6773 |
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+ | No log | 2.0 | 203 | 1.1016 | 0.6347 | 0.6042 | 0.6958 | 0.5220 | 0.6958 |
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+ | No log | 3.0 | 304 | 0.9035 | 0.7243 | 0.7468 | 0.7611 | 0.6371 | 0.7611 |
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+ | No log | 4.0 | 406 | 0.8619 | 0.7558 | 0.7592 | 0.7734 | 0.6694 | 0.7734 |
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+ | 0.9594 | 5.0 | 507 | 0.8535 | 0.7635 | 0.7580 | 0.7869 | 0.6811 | 0.7869 |
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+ | 0.9594 | 6.0 | 609 | 0.8652 | 0.7656 | 0.7608 | 0.7857 | 0.6812 | 0.7857 |
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+ | 0.9594 | 7.0 | 710 | 0.8698 | 0.7718 | 0.7646 | 0.7894 | 0.6894 | 0.7894 |
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+ | 0.9594 | 8.0 | 812 | 0.8729 | 0.7807 | 0.7748 | 0.7919 | 0.6964 | 0.7919 |
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+ | 0.9594 | 9.0 | 913 | 0.9407 | 0.7722 | 0.7691 | 0.7906 | 0.6875 | 0.7906 |
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+ | 0.3127 | 10.0 | 1015 | 0.9625 | 0.7794 | 0.7764 | 0.7943 | 0.6967 | 0.7943 |
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+ | 0.3127 | 11.0 | 1116 | 0.9848 | 0.7729 | 0.7671 | 0.7894 | 0.6872 | 0.7894 |
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+ | 0.3127 | 12.0 | 1218 | 0.9788 | 0.7751 | 0.7670 | 0.7894 | 0.6913 | 0.7894 |
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+ | 0.3127 | 13.0 | 1319 | 0.9980 | 0.7768 | 0.7717 | 0.7919 | 0.6924 | 0.7919 |
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+ | 0.3127 | 14.0 | 1421 | 1.0069 | 0.7763 | 0.7721 | 0.7919 | 0.6924 | 0.7919 |
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+ | 0.1402 | 14.93 | 1515 | 1.0032 | 0.7793 | 0.7728 | 0.7931 | 0.6958 | 0.7931 |
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  ### Framework versions
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+ - Transformers 4.30.2
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  - Pytorch 2.0.1+cu118
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  - Tokenizers 0.13.3