{"slug":"orchestra-research-ml-training-recipes","source_name":"orchestra-research/ml-training-recipes","name":"Orchestra Research/ML Training Recipes","description":"Battle-tested PyTorch training recipes for all domains — LLMs, vision, diffusion, medical imaging, protein/drug discovery, spatial omics, genomics. Covers training loops, optimizer selection (AdamW, Muon), LR scheduling, mixed precision, debugging, and systematic experimentation. Use when training or fine-tuning neural networks, debugging loss spikes or OOM, choosing architectures, or optimizing GPU throughput.","version":1,"lift":{"pass_rate_delta_pts":34.78,"pass_rate_pct":100,"total_cases":23,"passed_cases":23,"tokens_delta_pct":97.8,"turns_delta_pct":0,"verdict":"pass","benchmark_model":"gemini-3.6-flash","grading_method":"judged","completed_at":"2026-08-12T13:38:02.690217+00:00"},"skill_score":1,"benchmark_models":[{"model":"gemini-3.6-flash","headline":true,"delta_pts":34.78,"with_pass_pct":100,"without_pass_pct":65.2,"tokens_delta_pct":97.8,"turns_delta_pct":0,"total_cases":23,"cases_aggregated":23,"verdict":"pass","never_hurt":true,"completed_at":"2026-08-12T13:38:02.690217+00:00","run_id":"1ae30f12-9aa1-40da-949f-192e81b805aa","version_number":1,"is_latest_version":true,"gate":null}],"trust":{"skill_safety":"passed","safety_status":"clean","intent_verdict":"safe","content_status":"clean","indexable":true},"license":"MIT","install_count":0,"manifest_hash":"0916078ffd7ed5de12abfce79d543d65d73668a3e679035e96d605d7c39d6e51","raw_url":"https://app.decimal.ai/s/orchestra-research-ml-training-recipes/SKILL.md","scorecard_url":"https://app.decimal.ai/skills/orchestra-research-ml-training-recipes"}