【第177期】学习率Scheduler研究分析

Seventy3 · Mar 26, 2025 · 14m

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The Surprising Agreement Between Convex Optimization Theory and Learning-Rate Scheduling for Large Model Training

Summary

This paper explores the surprising parallels between learning-rate schedules used in large model training and theoretical performance bounds from convex optimization. It demonstrates that a simple learning-rate schedule with a constant phase followed by a linear cooldown mirrors the behavior predicted by theory, even for non-convex deep learning problems. Furthermore, the research shows how this theoretical understanding…