AetherControl-Qwen2.5-1.5B-GRPO-Math

📊 Training Telemetry Progression (20 Steps)

• Mean Reward ($r_{\text{mean}}$): Increased from 0.42 $\rightarrow$ 0.85 (+102% improvement).
• KL Divergence ($D_{\text{KL}}$): Maintained under 0.0586 (stable policy).
• GRPO Loss ($\mathcal{L}_{\text{GRPO}}$): Decreased from 1.1934 $\rightarrow$ 0.1730.
• Verifier Rewards: Rule-based format reward (<think> tags) and exact math string match (math_reward.py).

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