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--- |
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license: other |
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base_model: boun-tabi-LMG/TURNA |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: TURNA-finetuned_QA |
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results: [] |
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datasets: |
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- clips/mfaq |
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language: |
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- tr |
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metrics: |
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- rouge |
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library_name: adapter-transformers |
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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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# TURNA-finetuned_QA |
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This model is a fine-tuned version of [boun-tabi-LMG/TURNA](https://huggingface.co/boun-tabi-LMG/TURNA) on an unknown dataset. |
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## Model description |
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Turkish language model trained for question answering |
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## Intended uses & limitations |
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This model can be used as a starting point to further train the Turna model for question answering, for now it's still not well trained and may require a larger dataset |
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## Training and evaluation data |
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Clips/Mfaq turkish dataset: huggingface.co/datasets/clips/mfaq/viewer/tr_flat |
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Size: 100k rows training, 2.7k validation |
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This is a multilingual corpus of Frequently Asked Questions parsed from the Common Crawl. |
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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: 2e-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: 4 |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.1 |
