Best fold: (F1=0.8023)
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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: 0.5970
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- Accuracy: 0.8047
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- Precision: 0.8127
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- Recall: 0.7999
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- F1: 0.8023
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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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| 1.0198 | 1.1628 | 50 | 0.8447 | 0.6095 | 0.6519 | 0.6191 | 0.5959 |
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| 0.7783 | 2.3256 | 100 | 0.7763 | 0.7101 | 0.7495 | 0.7039 | 0.7108 |
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| 0.5724 | 3.4884 | 150 | 0.6136 | 0.7988 | 0.8080 | 0.7961 | 0.7988 |
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| 0.4886 | 4.6512 | 200 | 0.5970 | 0.8047 | 0.8127 | 0.7999 | 0.8023 |
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### Framework versions
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model.safetensors
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training_args.bin
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