# Cross-validation for BERT models

**URL:** </static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fcross-validation-for-bert-models%2F2697%3E%5C
**Category:** 🤗Transformers\
**Created:** [December 8, 2020, 1:33pm UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fcross-validation-for-bert-models%2F2697 "2020-12-08T13:33:43Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![Stimmot](https://avatars.discourse-cdn.com/v4/letter/s/46a35a/32.png) [@Stimmot](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Fu%2FStimmot)%5C
**Post date:** [December 8, 2020, 1:33pm UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fcross-validation-for-bert-models%2F2697%2F1 "2020-12-08T13:33:43Z")

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I was wondering whether there is any built-in way to use cross-validation on bert models for token classification. I scanned through the documentation but didn’t see anything resembling. Does anyone know a sample implementation of this feature?