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  # Arabic Question Generation Model
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- This Model is fine-tuned [AraT5-Base Model](https://huggingface.co/UBC-NLP/AraT5-base) on Arabic Question-Answering Dataset for **Question Generation** task .It achieves the following results on the evaluation set:
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- - Bleu 1: 37.62
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- - Bleu 2: 27.80
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- - Bleu 3: 20.89
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- - Bleu 4: 15.87
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- - Meteor: 33.19
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- - Rouge-L: 43.37
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  ## Live Demo
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- Get the Question from given Context and a Answer :[Arabic QG Model](https://huggingface.co/spaces/Mihakram/Arabic_Question_Generation)
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  ## Model in Action 🚀
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  ```python
 
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  ---
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  # Arabic Question Generation Model
 
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+ This model is ready to use for **Question Generation** task, simply input the text and answer, the model will generate a question, This model is a fine-tuned version of [AraT5-Base](https://huggingface.co/UBC-NLP/AraT5-base)
 
 
 
 
 
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  ## Live Demo
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+ Get the Question from given Context and a Answer : [Arabic QG Model](https://huggingface.co/spaces/Mihakram/Arabic_Question_Generation)
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  ## Model in Action 🚀
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  ```python