# Overcoming Overfitting in Transformer Fine-Tuning?

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**Category:** 🤗Transformers\
**Created:** [February 29, 2024, 4:55am UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fovercoming-overfitting-in-transformer-fine-tuning%2F75267 "2024-02-29T04:55:17Z")\
**Posts on this page:** 1\
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**Author:** ![anon86045107](https://avatars.discourse-cdn.com/v4/letter/a/b5e925/32.png) [@anon86045107](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Fu%2Fanon86045107)%5C
**Post date:** [February 29, 2024, 4:55am UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fovercoming-overfitting-in-transformer-fine-tuning%2F75267%2F1 "2024-02-29T04:55:18Z")

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How do I troubleshoot and address overfitting issues when fine-tuning a pre-trained transformer model using Hugging Face’s Transformers library? I’ve experimented with various regularization techniques and dataset augmentation methods, but I’m still encountering challenges in achieving a balance between model performance and generalization.
