
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.
PolyaxonHyperparameter TuningExperimentation
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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 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.

Design a small LoRA fine-tuning sweep, control its execution in Polyaxon, and compare validation quality, resource use, and repeatability.