xlm-roberta-base-finetuned-pquad-squad-finetuned-PersianQuAD_DeepseekQA_WS_QA_embedding
This model is a fine-tuned version of Gholamreza/xlm-roberta-base-finetuned-pquad-squad on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8585
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 |
|---|---|---|---|
| 0.6509 | 1.0 | 2461 | 0.7773 |
| 0.4699 | 2.0 | 4922 | 0.8009 |
| 0.3514 | 3.0 | 7383 | 0.8585 |
Framework versions
- Transformers 4.56.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.0