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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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model_index: |
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- name: bert-fa-QA-v1 |
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results: |
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- task: |
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name: Question Answering |
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type: question-answering |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# bert-fa-QA-v1 |
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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. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.7297 |
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## 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: |
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- learning_rate: 3e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 2 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.2563 | 1.0 | 1126 | 1.7222 | |
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| 1.3372 | 2.0 | 2252 | 1.7297 | |
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### Framework versions |
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- Transformers 4.9.0 |
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- Pytorch 1.9.0+cu102 |
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- Tokenizers 0.10.3 |
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