bert-base-arabic-TunDC-boosted
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:
- Loss: 0.5965
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 3e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 4
Training results
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 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0
Classification Report
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 |
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asafaya/bert-base-arabic