Papers/2608.23573
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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
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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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