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Training Gemma-3 for Structured Mathematical Reasoning with Tunix GRPO, LoRA Adapters, and GSM8K Rewards

This tutorial builds an end-to-end GRPO training workflow that teaches Gemma-3 to reason through GSM8K math problems using Tunix, JAX, LoRA, and custom reward functions. It covers environment preparation, Hugging Face authentication, model loading, prompt formatting, reward function definition, LoRA adapter attachment, baseline evaluation, and GRPO training.

SourceMarkTechPostAuthor: Sana Hassan
Training Gemma-3 for Structured Mathematical Reasoning with Tunix GRPO, LoRA Adapters, and GSM8K Rewards
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  • Implements GRPO training with Tunix and JAX, updating only LoRA adapter weights for a single-accelerator setup.
  • Defines format and correctness reward functions to provide multiple feedback signals.
  • Extracts problems from GSM8K dataset and converts them into a structured prompt format with reasoning and answer tags.
  • Downloads Gemma-3, attaches LoRA adapters, evaluates baseline performance, and runs GRPO to improve the policy.

Highlights and analysis are generated automatically and may contain errors. Check the original source.

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