Through the River: Understanding the Benefit of Schedule-Free Methods for Language Model Training

Neural Information Processing Systems 

As both model and dataset sizes continue to scale rapidly, conventional pretraining strategies with fixed compute budgets--such as cosine learning rate schedules--are increasingly inadequate for large-scale training.

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