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  args: plain_text
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  ---
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- # t5-end2end-question-generation
 
 
 
 
 
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- This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the squad dataset to generate questions based on a context.
 
 
 
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  It achieves the following results on the evaluation set:
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  - Loss: 1.5691
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- If you want to learn how to fine-tune t5 model to do the same, you can follow this [tutorial](https://colab.research.google.com/drive/1z-Zl2hftMrFXabYfmz8o9YZpgYx6sGeW?usp=sharing)
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  ## Use the Model
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  ```
 
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  args: plain_text
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+ # t5-end2end-question-generation
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+ 👉 This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the squad dataset to generate questions based on a context.
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+ If you want to learn how to fine-tune t5 model to do the same, you can follow this [tutorial](https://colab.research.google.com/drive/1z-Zl2hftMrFXabYfmz8o9YZpgYx6sGeW?usp=sharing)
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+ For instance:
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+ ```
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+ Context: "Python is an interpreted, high-level, general-purpose programming language. Created by Guido van Rossum and first released in 1991, Python's design philosophy emphasizes code readability with its notable use of significant whitespace."
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+ ```
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+ ```
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+ Questions:
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+ Who created Python?,
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+ When was Python first released?
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+ What is Python's design philosophy?
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+ ```
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  It achieves the following results on the evaluation set:
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  - Loss: 1.5691
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  ## Use the Model
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  ```