roberta-fa-zwnj-base-finetuned-PersianQuAD-val-200
This model is a fine-tuned version of HooshvareLab/roberta-fa-zwnj-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.3478
- {'exact_match': 59.4, 'f1': 65.26432351797693}
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
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.6974 | 1.0 | 1243 | 1.4037 |
| 1.0451 | 2.0 | 2486 | 1.2955 |
| 0.7255 | 3.0 | 3729 | 1.3478 |
Framework versions
- Transformers 5.22.0
- Pytorch 2.11.0+cu130
- Datasets 4.8.5
- Tokenizers 0.23.3