Fun with Large Models
Fun with Large Models
Jun 12, 2025 · Artificial Intelligence

Implement GRPO to Give LLMs Reasoning Ability with Qwen2.5‑0.5B

This article explains the GRPO reinforcement‑learning algorithm, shows its core idea of internal group competition without a separate evaluator model, and provides a complete, step‑by‑step code walkthrough—including environment setup, dataset preparation, reward‑function design, training configuration, and evaluation—using the Qwen2.5‑0.5B‑Instruct model on the GSM8K math dataset.

GRPOGSM8KQwen2.5
0 likes · 23 min read
Implement GRPO to Give LLMs Reasoning Ability with Qwen2.5‑0.5B
Baobao Algorithm Notes
Baobao Algorithm Notes
Mar 19, 2025 · Artificial Intelligence

Why Does GRPO Loss Start at Zero and Grow During OpenR1 Training?

The article explains why the GRPO loss in OpenR1 and trl starts at zero and then rises, detailing the underlying KL‑divergence formulation, the single‑step update mechanism, and how gradients are preserved despite a zero scalar loss, with code examples from the trl implementation.

GRPOLoss InitializationOpenR1
0 likes · 5 min read
Why Does GRPO Loss Start at Zero and Grow During OpenR1 Training?