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Record per-run logging policy and sync non-train artifacts.

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Require immediate README logging plus per-attempt commits, and publish latest diagnostics/reports and trajectory-analysis utility without carrying train.py changes.

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demian3b
2026-04-16 23:28:47 +09:00
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@@ -92,3 +92,4 @@ This repository is intentionally pinned to CUDA 12.6 PyTorch wheels and matching
- 2026-04-16: Follow-up parallel sweep (GPU0/1/2) with direct best-axis reruns produced `2.430481`, `2.412036`, and `2.720380`; observed heavy seed sensitivity and intermittent fallback-to-1000 behavior on unstable seeds.
- 2026-04-16: Continued parallel sweep with rotation curriculum variants (`start=0.85/0.95` and lower-lr schedule) produced `2.450391`, `2.457748`, and `2.426384`; no improvement over branch best `2.388103`.
- 2026-04-16: Deep schedule parallel sweep (`epochs=320~380`, `start=1.0` with warmup variants, multi-seed) produced `2.464117`, `2.410706`, and `2.419527`; still below branch best and showed late-epoch fallback instability in 일부 runs.
- 2026-04-16: Post-reset attempt on `attempt/s3-tail-risk-next` (trajectory-tail-risk focus) using residual-geodesic with clipped omega and scheduled rotation weight (`lr=6.8e-4`, `grad_clip=0.7`, `start=1.0`, warmup `120`) reached `mean_rmsd_100=2.464730`; no improvement.