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Best fold: (F1=0.7860)

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  1. README.md +9 -9
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -20,11 +20,11 @@ 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: 0.5509
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- - Accuracy: 0.8107
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- - Precision: 0.8182
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- - Recall: 0.8085
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- - F1: 0.8114
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  ## Model description
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@@ -56,10 +56,10 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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  |:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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- | 1.0392 | 1.1628 | 50 | 0.8990 | 0.6272 | 0.6253 | 0.6281 | 0.6261 |
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- | 0.8198 | 2.3256 | 100 | 0.7759 | 0.6746 | 0.7323 | 0.6631 | 0.6625 |
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- | 0.634 | 3.4884 | 150 | 0.5924 | 0.7870 | 0.7945 | 0.7838 | 0.7864 |
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- | 0.5264 | 4.6512 | 200 | 0.5509 | 0.8107 | 0.8182 | 0.8085 | 0.8114 |
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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
model.safetensors CHANGED
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