  mathiasandClaude Sonnet 4.6
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69784f59cf
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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>
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2026-06-24 07:16:50 +02:00 |
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