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Understanding R1-Zero-Like Training: A Critical Perspective
Understanding R1-Zero-Like Training: A Critical Perspective - sail-sg/understand-r1-zero
Our R1-Zero training is implemented with 🌾 Oat, a highly modular, research-friendly and efficient LLM RL framework. To understand R1-Zero-like training, we critically examine two core components: base models and reinforcement learning. We RL-tune Qwen2.5- Math-7B using the (unbiased) Dr. GRPO algorithm on MATH level 3-5 questions with the Qwen-Math template, and achieve state-of-the-art performance with only 27 hours compute on 8× A100 GPUs.
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