TC-Fuse hyperparameter search — Hydra Optuna sweeper + submitit launcher running parallel single-GPU SLURM trials (offline-safe, works on Jean-Zay). Search space in conf/hydra/sweeper/*.yaml; launcher SLURM spec in conf/hydra/launcher/jz_*_sweep.yaml; short-budget experiment in conf/experiment/pmw_gmi_sweep.yaml. With submitit=false, scripts/train/train.py returns the best val/loss as the objective Optuna minimizes. Respect the Perceiver's head-divisibility invariants when defining the space. Use when running a sweep, adding a search space, or changing the optimized metric.
Installation
Installer avec Codex ou Claude Copiez ce prompt, collez-le dans Codex, Claude ou un autre assistant, puis laissez-le vérifier la page du skill et l'installer pour vous.
TC-Fuse hyperparameter search — Hydra Optuna sweeper + submitit launcher running parallel single-GPU SLURM trials (offline-safe, works on Jean-Zay). Search space in conf/hydra/sweeper/*.yaml; launcher SLURM spec in conf/hydra/launcher/jz_*_sweep.yaml; short-budget experiment in conf/experiment/pmw_gmi_sweep.yaml. With submitit=false, scripts/train/train.py returns the best val/loss as the objective Optuna minimizes. Respect the Perceiver's head-divisibility invariants when defining the space. Use when running a sweep, adding a search space, or changing the optimized metric.
Content has moved. The full skill documentation is in .agents/sweep.md.
Read that file for the sweep invocation, the search-space / divisibility rules, the objective contract in train.py, and how to add a new sweep.
