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AhmedBou/bert-base-arabic-TunDC-mixed
bert-base-arabic-TunDC-mixed is a text classification model from AhmedBou. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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.safetensors442 MB · 100%
From the Hugging Face model README
This model is a fine-tuned version of asafaya/bert-base-arabic on the None dataset. It achieves the following results on the evaluation set:
More information needed
More information needed
More information needed
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.6802 | 1.0 | 2972 | 0.4765 |
| 0.4899 | 2.0 | 5944 | 0.4216 |
| 0.3258 | 3.0 | 8916 | 0.5224 |
| 0.2718 | 4.0 | 11888 | 0.5965 |
| Class | Precision | Recall | F1-Score | Support |
|---|---|---|---|---|
| 0 | 0.82 | 0.90 | 0.86 | 5476 |
| 1 | 0.87 | 0.76 | 0.81 | 4712 |
| Accuracy | 0.84 | 10188 | ||
| Macro Avg | 0.84 | 0.83 | 0.83 | 10188 |
| Weighted Avg | 0.84 | 0.84 | 0.84 | 10188 |