Integrate Weights & Biases tracking for training observability, artifact lineage, and experiment comparison.
Use this skill to instrument and manage experiment tracking with Weights & Biases.
Required:
Initialize each run with:
Ensure runs are reproducible and easy to filter/compare.
Log metrics at consistent intervals:
Align metric names across runs for clean comparisons.
Track artifacts with explicit versions and lineage:
Include metadata linking artifacts to run id, step, and source config.
Support side-by-side run comparison for tuning cycles:
Output concise recommendation on next experiment set.
wandb_setup.md (project/entity/tagging conventions)experiment_tracking_plan.md (metrics + logging cadence)run_comparison.md (tuning summary + recommended next run)Before initializing any W&B run, validate:
WANDB_API_KEY is set and non-empty.wandb login --verify).Report clear error if credentials are missing, with guidance on where to set them.