Learning Rate Decay: A Hidden Bottleneck in LLM Curriculum Pretraining
Analysis
This ArXiv paper critically examines the detrimental effects of learning rate decay in curriculum-based pretraining of Large Language Models (LLMs). The research likely highlights how traditional decay schedules can lead to the suboptimal utilization of high-quality training data early in the process.
Key Takeaways
- •Learning rate decay in curriculum learning can lead to inefficient use of high-quality data.
- •The research suggests that alternative learning rate schedules might improve performance.
- •This work has implications for optimizing the pretraining process of LLMs.
Reference / Citation
View Original"The paper investigates the impact of learning rate decay on LLM pretraining using curriculum-based methods."