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update model card README.md
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README.md
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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.
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- Macro F1: 0.
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- Accuracy: 0.
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- Precision: 0.
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- Recall: 0.
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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.
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| 0.
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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
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