feat(loop): autoresearch keep/revert loop + first iteration (val_vol_r2 0.2821→0.3749, +9.3%)

loop.py: Karpathy-style keep/revert loop. Agent (berget/gemma4-31b, iguana model, NOT koala GPU) proposes one change to train.py per iter → train.py runs on koala GPU (<2s) → read val_vol_r2 from metrics.json → keep if improved, else restore original content. STATUS.md tracks per-iter metric + delta + GPU snap. Iter 1 kept: improved EMBED_DIM/capacity, +9.3% on OOS R². Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-24 07:16:50 +02:00
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+# Autoresearch STATUS
+
+| iter | val_vol_r2 | delta | action | secs | gpu | change |
+|------|-----------|-------|--------|------|-----|--------|
+| 1 | 0.3749 | +0.0928 | KEEP | 2s | gpu=0% vram=10054/12227MiB temp=34°C | iter1 |