A last-iterate convex optimization bound is shown to predict the shape and optimal learning-rate ratios of constant-plus-cooldown (wsd) and cosine schedules for LLM training, with validated learning-rate transfer rules.
• Appendix B: supplementary information on our experiments
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The Surprising Agreement Between Convex Optimization Theory and Learning-Rate Scheduling for Large Model Training
A last-iterate convex optimization bound is shown to predict the shape and optimal learning-rate ratios of constant-plus-cooldown (wsd) and cosine schedules for LLM training, with validated learning-rate transfer rules.