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--- |
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license: apache-2.0 |
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base_model: makhataei/qa-persian-bert-fa-base-uncased |
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tags: |
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- generated_from_trainer |
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datasets: |
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- persian_qa |
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model-index: |
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- name: qa-persian-bert-fa-base-uncased |
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results: [] |
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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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# qa-persian-bert-fa-base-uncased |
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This model is a fine-tuned version of [makhataei/qa-persian-bert-fa-base-uncased](https://huggingface.co./makhataei/qa-persian-bert-fa-base-uncased) on the persian_qa dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 4.7021 |
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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: 5e-05 |
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- train_batch_size: 14 |
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- eval_batch_size: 14 |
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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: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.1038 | 1.0 | 644 | 1.9419 | |
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| 0.8384 | 2.0 | 1288 | 2.3613 | |
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| 0.5632 | 3.0 | 1932 | 2.3215 | |
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| 0.2658 | 4.0 | 2576 | 2.9592 | |
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| 0.1652 | 5.0 | 3220 | 3.2437 | |
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| 0.1497 | 6.0 | 3864 | 3.7557 | |
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| 0.0701 | 7.0 | 4508 | 4.0651 | |
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| 0.0398 | 8.0 | 5152 | 4.5260 | |
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| 0.0191 | 9.0 | 5796 | 4.7113 | |
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| 0.013 | 10.0 | 6440 | 4.7021 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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