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--- |
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license: mit |
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title: Vietnames Medical mT5 Finetune Question and Answer |
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sdk: gradio |
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colorFrom: green |
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colorTo: green |
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python_verison: 3.10.12 |
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sdk_version: 5.42.0 |
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pinned: true |
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--- |
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# Vietnames Medical mT5 Finetune Question and Answer |
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## Dataset |
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You can download dataset at this url: https://github.com/triet2397/UIT-ViCoV19QA |
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## Metrics |
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- Loss: |
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- Trainging Set: 0.306100. |
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- Validation Set: 0.322764. |
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## Demo |
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### Demo Image |
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 |
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### Demo Space |
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You can try this project demo at: https://huggingface.co/spaces/danhtran2mind/vi-medical-mt5-finetune-qa |
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## Usage |
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- Install Denpendencies: |
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```bash |
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pip install -r requirements.txt |
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``` |
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- Download download the 'danhtran2mind/vi-medical-mt5-finetune-qa' model from Hugging Face using the following commands: |
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```bash |
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cd models |
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git clone https://huggingface.co/danhtran2mind/vi-medical-mt5-finetune-qa |
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cd .. |
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``` |
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- Run Gradio app: |
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```bash |
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python app.py |
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``` |
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- Your app will run at `localhost:7860` |
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## Denpendencies Enviroment |
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- Python version: 3.10.12 |
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- Libraries verions: |
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```bash |
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pandas==2.2.3 |
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numpy==1.26.4 |
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matplotlib==3.7.5 |
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scikit-learn==1.2.2 |
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gensim==4.3.3 |
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underthesea==6.8.4 |
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tensorflow==2.17.1 |
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datasets==3.3.1 |
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torch==2.5.1+cu121 |
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transformers==4.47.0 |
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``` |
