Fine-tuning
Fine-tuning a 350M Model for Better Structured Outputs in 100 GRPO Steps
Our short summary of Hugging Face’s engineering write-up. The full story, with all the detail, is on their blog.
Read the full write-up on huggingface.co (opens in a new tab)Problem
Models often output data in the wrong format, preventing integration into downstream systems.
Solution
Fine‑tuned a 350M LLM with Group Relative Policy Optimization using the TRL library, running only 100 steps on a free‑tier GPU, raising structured‑output accuracy on IFStruct.
Accuracy improved to 29.7%
Want the architecture, code and numbers? They’re in the original post.
Read the full write-up on huggingface.co (opens in a new tab)