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--- |
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tags: |
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- generated_from_trainer |
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base_model: makhataei/qa-persian-xlmr-large |
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model-index: |
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- name: qa-persian-xlmr-large |
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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-xlmr-large |
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This model is a fine-tuned version of [makhataei/qa-persian-xlmr-large](https://huggingface.co/makhataei/qa-persian-xlmr-large) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 5.0366 |
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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-06 |
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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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| 2.0175 | 1.0 | 202 | 1.5773 | |
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| 1.17 | 2.0 | 404 | 1.7608 | |
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| 0.6861 | 3.0 | 606 | 2.2780 | |
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| 0.4457 | 4.0 | 808 | 2.8859 | |
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| 0.2626 | 5.0 | 1010 | 3.9207 | |
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| 0.1862 | 6.0 | 1212 | 4.6119 | |
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| 0.1264 | 7.0 | 1414 | 4.8694 | |
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| 0.0786 | 8.0 | 1616 | 4.8824 | |
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| 0.0566 | 9.0 | 1818 | 4.9686 | |
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| 0.0571 | 10.0 | 2020 | 5.0366 | |
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### Framework versions |
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- Transformers 4.38.1 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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