# Fine tuning multi\[class\] classification
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**Author:**  [@Abasov](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Fu%2FAbasov)%5C
**Post date:** [May 31, 2024, 9:11pm UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Ffine-tuning-multi-class-classification%2F89664%2F1 "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 ?
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**Author:**  [@nielsr](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Fu%2Fnielsr)%5C
**Post date:** [June 1, 2024, 10:19am UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Ffine-tuning-multi-class-classification%2F89664%2F2 "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)
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**Author:**  [@system](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Fu%2Fsystem)%5C
**Post date:** [June 1, 2024, 10:20pm UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Ffine-tuning-multi-class-classification%2F89664%2F3 "2024-06-01T22:20:49Z")
Closed on June 1, 2024, 10:20pm UTC
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