Research predicts optimal model size and data allocation for pre-training
yoavgo · x · 2026-08-27
The discussion focuses on predicting the relationship between Transformer parameter count (or layer count/width) and pre-training data volume to achieve optimal loss. The method involves running numerous experiments at different scales and performing extrapolation. This addresses practical questions like "Given a fixed budget, how do I optimally determine model size and data volume?"
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