Gemma3_created_context
Collection
Models and datasets in the Gamma3-context-paraphrasing category • 8 items • Updated
bert-fa-base-uncased-finetuned-Gemma3_QA
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: 1.3057
- {'exact_match': 75.3, 'f1': 78.81866531151856}
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 |
|---|---|---|---|
| 0.9692 | 1.0 | 1595 | 1.0895 |
| 0.5974 | 2.0 | 3190 | 1.1328 |
| 0.365 | 3.0 | 4785 | 1.3057 |
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-Gemma3_QA
Base model
HooshvareLab/bert-fa-base-uncased