Best fold: (F1=0.7860)
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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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- Accuracy: 0.
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- Precision: 0.
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- Recall: 0.
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- F1: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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|:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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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: 0.6076
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- Accuracy: 0.7870
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- Precision: 0.7902
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- Recall: 0.7895
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- F1: 0.7860
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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|:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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| 1.0011 | 1.1628 | 50 | 0.8491 | 0.6213 | 0.6891 | 0.6310 | 0.5955 |
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| 0.7277 | 2.3256 | 100 | 0.7047 | 0.6864 | 0.7199 | 0.6811 | 0.6782 |
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| 0.5804 | 3.4884 | 150 | 0.6076 | 0.7870 | 0.7902 | 0.7895 | 0.7860 |
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| 0.4828 | 4.6512 | 200 | 0.5958 | 0.7633 | 0.7629 | 0.7606 | 0.7601 |
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### Framework versions
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model.safetensors
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training_args.bin
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