# Fine tuning multi\[class\] classification **URL:** \ **Category:** Beginners\ **Created:** [May 31, 2024, 9:11pm UTC](https://discuss.huggingface.co/t/fine-tuning-multi-class-classification/89664 "2024-05-31T21:11:38Z")\ **Posts on this page:** 3\ **Page:** 1
**Author:** ![Abasov](https://avatars.discourse-cdn.com/v4/letter/a/35a633/32.png) [@Abasov](https://discuss.huggingface.co/u/Abasov)\ **Post date:** [May 31, 2024, 9:11pm UTC](https://discuss.huggingface.co/t/fine-tuning-multi-class-classification/89664/1 "2024-05-31T21:11:38Z")
Hello everyone, I would like to fine tune a LLM model for country code or country name classification. example: I live in England answer: GB or Great Britain Labels will be all county code in the world. Any advice ? which LLM can I take for this task ? ---
**Author:** ![nielsr](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/nielsr/32/39617_2.png) [@nielsr](https://discuss.huggingface.co/u/nielsr)\ **Post date:** [June 1, 2024, 10:19am UTC](https://discuss.huggingface.co/t/fine-tuning-multi-class-classification/89664/2 "2024-06-01T10:19:57Z")
Hi, An LLM might be a bit of an overkill for this task, you might get good results by fine-tuning a BERT-like text classifier. Also, if a sentence can only belong to one class, the task is actually called multi-class classification instead of multi-label. See the task guide: [Text classification](https://huggingface.co/docs/transformers/tasks/sequence_classification) ---
**Author:** ![system](https://us1.discourse-cdn.com/hellohellohello/original/2X/d/de4155eb4aa4108ecb32a1389d7cc37ae69f88b7.png) [@system](https://discuss.huggingface.co/u/system)\ **Post date:** [June 1, 2024, 10:20pm UTC](https://discuss.huggingface.co/t/fine-tuning-multi-class-classification/89664/3 "2024-06-01T22:20:49Z")
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