# Fine tuning model for stack exchange

**URL:** <https://discuss.huggingface.co/t/fine-tuning-model-for-stack-exchange/15255>\
**Category:** Models\
**Created:** [March 2, 2022, 11:45am UTC](https://discuss.huggingface.co/t/fine-tuning-model-for-stack-exchange/15255 "2022-03-02T11:45:44Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![Jamesmin90](https://avatars.discourse-cdn.com/v4/letter/j/edb3f5/32.png) [@Jamesmin90](https://discuss.huggingface.co/u/Jamesmin90)\
**Post date:** [March 2, 2022, 11:45am UTC](https://discuss.huggingface.co/t/fine-tuning-model-for-stack-exchange/15255/1 "2022-03-02T11:45:44Z")

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Hi everyone, I am trying to build a BERT model which takes stack exchange answers with it’s scores as training data to predict whether or not an answer is good or bad during the testing. Any idea how I would build this model or any useful articles which might help? The first problem I would like to solve is how not to use labels, but use scores. Thank you 😄