Optimizer Noise Shapes Model Merging Success in Neural Networks

Effective noise scale—combining learning rate, weight decay, batch size and augmentation—predicts model‑merging success, with a non‑monotonic optimum. Read more: getnews.me/optimizer-noise-shapes-m... #modelmerging #effectivenoisescale #optimizers