Tuning Learning Rates with the Cumulative-Learning Constant

Nathan Faraj

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arXiv · 2505.13457

Tuning Learning Rates with the Cumulative-Learning Constant

Nathan Faraj

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Abstract

This paper introduces a novel method for optimizing learning rates in machine learning. A previously unrecognized proportionality between learning rates and dataset sizes is discovered, providing valuable insights into how dataset scale influences training dynamics. Additionally, a cumulative learning constant is identified, offering a framework for designing and optimizing advanced learning rate schedules. These findings have the potential to enhance training efficiency and performance across a wide range of machine learning applications.

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Nathan Faraj. 2025-04-30. Tuning Learning Rates with the Cumulative-Learning Constant. https://arxiv.org/abs/2505.13457

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