# Evaluating my own model

**URL:** <https://discuss.huggingface.co/t/evaluating-my-own-model/141827>\
**Category:** Intermediate\
**Created:** [February 19, 2025, 3:23pm UTC](https://discuss.huggingface.co/t/evaluating-my-own-model/141827 "2025-02-19T15:23:15Z")\
**Posts on this page:** 1\
**Showing post:** 2

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**Author:** ![John6666](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/john6666/32/27664_2.png) [@John6666](https://discuss.huggingface.co/u/John6666)\
**Post date:** [February 20, 2025, 5:26am UTC](https://discuss.huggingface.co/t/evaluating-my-own-model/141827/2 "2025-02-20T05:26:26Z")

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> [@How can I evaluate a fine tuned LLM?](https://discuss.huggingface.co/t/how-can-i-evaluate-a-fine-tuned-llm/134538):
>
> Hi there! I am curious about how fine tuned large language models are evaluated? I mean, I fine tuned a model for specific task like a question-answer chatbot for my business but how can I decide to my language model is good, bad or terrible? Is there any ways to evaluate fine tuned model such as token similarity, semantic similarity…

> **[Let's talk about LLM evaluation](https://huggingface.co/blog/clefourrier/llm-evaluation)**
>
> A Blog post by Clémentine Fourrier on Hugging Face

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