bert-fa-base-uncased-finetuned-PersianQuAD_DeepseekQA_WS_QA-3epochs
This model is a fine-tuned version of HooshvareLab/bert-fa-base-uncased on Z-Jafari/PersianQuAD_DeepseekQA_WS_QA and Z-Jafari/PersianQuAD datasets. It achieves the following results on the evaluation set:
- Loss: 1.3573
- {'exact_match': 77.6, 'f1': 81.23218362942465}
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.7118 | 1.0 | 2066 | 1.0352 |
| 0.4217 | 2.0 | 4132 | 1.0647 |
| 0.2369 | 3.0 | 6198 | 1.3573 |
Framework versions
- Transformers 4.57.2
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1