parsbert-persianQA
This model is a fine-tuned version of HooshvareLab/bert-fa-zwnj-base on azizmatin/question_answering dataset. It achieves the following results on the evaluation set:
- Loss: 3.4521
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: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.8464 | 1.0 | 9205 | 2.5020 |
| 2.1887 | 2.0 | 18410 | 2.6621 |
| 1.2823 | 3.0 | 27615 | 3.4521 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1
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Model tree for azizmatin/parsbert-persianQA
Base model
HooshvareLab/bert-fa-zwnj-base