# Getting wrong response after fine tuning google/flan-t5-small model?

**URL:** <https://discuss.huggingface.co/t/getting-wrong-response-after-fine-tuning-google-flan-t5-small-model/37868>\
**Category:** Models\
**Created:** [April 27, 2023, 5:46am UTC](https://discuss.huggingface.co/t/getting-wrong-response-after-fine-tuning-google-flan-t5-small-model/37868 "2023-04-27T05:46:32Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![Chetan123345](https://avatars.discourse-cdn.com/v4/letter/c/bb73d2/32.png) [@Chetan123345](https://discuss.huggingface.co/u/Chetan123345)\
**Post date:** [April 27, 2023, 5:46am UTC](https://discuss.huggingface.co/t/getting-wrong-response-after-fine-tuning-google-flan-t5-small-model/37868/1 "2023-04-27T05:46:32Z")

</div>

I need to create a generative question-answering system. I selected the flan-t5-small model and fine-tuned it on the 433 questions-answer pair dataset. but, after fine-tuning, I tried to inference on some questions. but the fined-tuned model generates questions itself as a result.  
Also, suggest the best model for this problem statement.