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Data Predictability Shapes Weibull Weight-Scale Growth in Transformer Training
Author1, Author2, Author3, Author4, Author5
transformer trainingweight scalingdata predictabilitymachine learning
2608.23573
Builder Relevance
3h ago80%
Abstract
This paper explores how the predictability of data influences the growth of weight scales in transformer models during training.
Reality Card
Core Claim
The study establishes a predictive law for weight growth in transformers based on pre-training data properties, achieving a high correlation in weight growth predictions.
Method / Result
The law predicts weight growth with a relative error of 5.7% across various models and layers.
Limitations
The model's predictions may overestimate weight growth in cross-corpus scenarios, indicating potential limitations in generalizability.
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