Paper suggests tuning hyperparameters on small scales before large scale adaptation
JJitsev · x · 2026-08-20
Discussion on a paper notes that small-scale models are higher-dimensional and unforgiving, requiring extensive hyperparameter search. In contrast, large-scale models are gentler and lower-dimensional, allowing good hyperparameters to be easily adapted with standard techniques. The strategy proposed is to tune hyperparameters on small scales rather than large ones.
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