Fine-tuning GPT-OSS-20B for multilingual reasoning on Amazon SageMaker HyperPod

Key points

• For teams deploying reasoning models for non-English users, that gap matters.1
• It raises a question every team faces once they start customizing open-weight models: supervised fine-tuning (SFT), reinforcement learning with Group Relative Policy Optimization (GRPO), or both?1
• In this post, we walk through how we fine-tuned GPT-OSS-20B for multilingual reasoning on Amazon SageMaker HyperPod.1
• This section covers the multilingual reasoning task and dataset, how SFT and GRPO complement each other, and the training stack we ran on Amazon SageMaker HyperPod.1

Sources (1)

• [1]Fine-tuning GPT-OSS-20B for multilingual reasoning on Amazon SageMaker HyperPod
  AWS Machine Learning Blog · Oct 20, 05:48 PM

  GPT-OSS-20B is an open-weight reasoning model that thinks in English.

  For teams deploying reasoning models for non-English users, that gap matters.

Extractive summary: sentences quoted from the sources.