# Fine tuning a model with multiple parameters

**URL:** <https://community.openai.com/t/fine-tuning-a-model-with-multiple-parameters/1027316>\
**Category:** API\
**Tags:** assistants-api\
**Created:** [November 22, 2024, 1:09am UTC](https://community.openai.com/t/fine-tuning-a-model-with-multiple-parameters/1027316 "2024-11-22T01:09:36Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![joel.mag](https://sea2.discourse-cdn.com/openai1/user_avatar/community.openai.com/joel.mag/32/451896_2.png) [@joel.mag](https://community.openai.com/u/joel.mag)\
**Post date:** [November 22, 2024, 1:09am UTC](https://community.openai.com/t/fine-tuning-a-model-with-multiple-parameters/1027316/1 "2024-11-22T01:09:36Z")

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Hi folks.

Would appreciate some advice on the best way to fine-tune a model where I’m looking to understand multiple parameters.

Most of the “out of the box” fine-tuning formats are as follows:

- role:user “What color is the sky?” role:system: “blue”
- role:user “What color is the ground?” role:system: “brown”

and I can fine-tune to understand expected answers…

There are also multi-turn chats like the one below from OpenAI.  
{“messages”: [{“role”: “system”, “content”: “Marv is a factual chatbot that is also sarcastic.”}, {“role”: “user”, “content”: “What’s the capital of France?”}, {“role”: “assistant”, “content”: “Paris”, “weight”: 0}, {“role”: “user”, “content”: “Can you be more sarcastic?”}, {“role”: “assistant”, “content”: “Paris, as if everyone doesn’t know that already.”, “weight”: 1}]}

**My question: How do I fine-tune if I want to understand the result of the conversation, or better yet…multiple results.**  
For example, what if I had the following data like category and outcome?  
role:user {“What color is the sky?” role:system: “blue” category: “question” outcome\_of\_convo: "answered}.

I have tens of thousands of chats with things like summaries or status that I want to capture as well as the convo itself. Ideally, I’m looking for non-dev friendly tools that multiple people at my company could use.