mschoi/ai-rfm
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Refine attempt policy and logging requirements.

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Clarify that independent attempts must be research-level changes, enforce logging of both successful and failed trials, and document checkpoint promotion flow for latest-eval vs best artifacts.

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demian3b
2026-04-16 17:48:15 +09:00
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README.md
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@@ -17,6 +17,7 @@ This repository is intentionally pinned to CUDA 12.6 PyTorch wheels and matching
- Every attempt must update this README (append a short entry in `## Attempt Log`).
- Attempt log is mandatory for both successful and failed trials.
- Flow-matching training time must stay random (middle-time supervision is mandatory).
- Independent attempts must be research-level changes (architecture/training strategy/loss design). Pure hyperparameter-only runs are not counted as standalone attempts.
- Commits touching `train.py` must include:
- `reports/latest_eval.json`
- strictly better `mean_rmsd_100` compared to previous best (enforced by pre-commit).