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Temperon: Full-Time SAM Quality at a Third Less Wall-Clock

Mastromichalakis, Stamatis
arXiv (All) · Papers
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68t07computer-vision-and-pattern-recognitionmachine-learning
Sharpness-aware minimization (SAM) doubles the cost of every training step, yet its benefit concentrates where training ends. We study where an expensive training mode should be spent and propose Temperon: a plain-SGD explorer for the first 43% of the epoch budget, then one scheduled hand-off that g
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