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Learnable Multipliers: Freeing the Scale of Language Model Matrix Layers

Intermediate

Maksim Velikanov, Ilyas Chahed et al.Jan 8arXiv

The paper shows that big language models often get stuck with weight sizes set by training hyperparameters instead of by the data, which quietly hurts performance.

#learnable multipliers#weight decay#noise–WD equilibrium

Papers1

Learnable Multipliers: Freeing the Scale of Language Model Matrix Layers