
Tune hyperparameters with native TPE in Polyaxon
Use completed trial results to guide hyperparameter choices with native TPE, run GPU training trials, and compare validation loss in Polyaxon.
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Use completed trial results to guide hyperparameter choices with native TPE, run GPU training trials, and compare validation loss in Polyaxon.

Use an ordered Polyaxon mapping for a curated list of experiments, control concurrency, and distinguish scheduling order from dependencies and completion order.

Compare old and new application outputs under both evaluator versions, inspect changed decisions, and retain the four comparisons in Polyaxon.

Use Polyaxon matrices to choose parameter scales, separate meaningful combinations, and control the size of a hyperparameter sweep.

Confirm hyperparameter finalists across matched training seeds, compare variation and paired differences, and reserve compute for a defensible final choice.