Base-Models-Finetuned-on-PersianQuAD
Collection
Base models finetuned with PersianQuAD and baseline dataset PersianQuAD.
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10 items
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Updated
bert-fa-base-uncased-finetuned-PersianQuAD-2epochs
This model is a fine-tuned version of HooshvareLab/bert-fa-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0337
- {'exact_match': 77.6, 'f1': 81.73449813886167}
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 |
|---|---|---|---|
| 1.059 | 1.0 | 1291 | 0.9929 |
| 0.6225 | 2.0 | 2582 | 1.0337 |
Framework versions
- Transformers 4.57.3
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
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Model tree for Z-Jafari/bert-fa-base-uncased-finetuned-PersianQuAD-2epochs
Base model
HooshvareLab/bert-fa-base-uncased