| --- |
| license: apache-2.0 |
| tags: |
| - generated_from_trainer |
| model_index: |
| - name: bert-fa-QA-v1 |
| results: |
| - task: |
| name: Question Answering |
| type: question-answering |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # bert-fa-QA-v1 |
| Persian Question and answer Model Based on Bert Model |
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| This model is a fine-tuned version of [ParsBERT](https://arxiv.org/abs/2005.12515) on PersianQA dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.7297 |
|
|
| ## Model description |
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| More information needed |
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| ## Intended uses & limitations |
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| More information needed |
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| ## Training and evaluation data |
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| More information needed |
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| ## Training procedure |
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| ### Training hyperparameters |
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| The following hyperparameters were used during training: |
| - learning_rate: 3e-05 |
| - train_batch_size: 8 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 2 |
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|
| ### Training results |
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| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 2.2563 | 1.0 | 1126 | 1.7222 | |
| | 1.3372 | 2.0 | 2252 | 1.7297 | |
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| ### Framework versions |
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| - Transformers 4.9.0 |
| - Pytorch 1.9.0+cu102 |
| - Tokenizers 0.10.3 |
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