xlm-roberta-large-finetuned-PersianQuAD-finetuned-PersianQuAD_DeepseekQA_QA_embedding-2epochs
This model is a fine-tuned version of Z-Jafari/xlm-roberta-large-finetuned-PersianQuAD-3epochs on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9471
- {'exact_match': 87.4, 'f1': 89.74904706404702}
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: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4237 | 1.0 | 2461 | 0.7679 |
| 0.2372 | 2.0 | 4922 | 0.9471 |
Framework versions
- Transformers 4.57.3
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1