result
This model is a fine-tuned version of Mahmoud22/AraClassificationModel on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0295
- F1-macro: 0.9856
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: 8e-05
- train_batch_size: 64
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | F1-macro |
|---|---|---|---|---|
| 0.1818 | 1.0 | 1630 | 0.0996 | 0.9661 |
| 0.0899 | 2.0 | 3260 | 0.0398 | 0.9837 |
| 0.0326 | 3.0 | 4890 | 0.0218 | 0.9893 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.0
- Datasets 2.1.0
- Tokenizers 0.13.2