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ruvector/training-data-v2-filtered.jsonl
rUv f948463958
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feat(training): source map extraction + v2 model (83.67% val accuracy) 
- Extract 14,198 training pairs from 6,941 source maps in node_modules
- Train v2 model (4-layer, 192-dim, 6-head transformer, 1.9M params)
- Val accuracy: 83.67% (up from 75.72%), exact match: 12.3% (up from 0.1%)
- Export weights.bin (7.3MB) for Rust runtime inference
- Add decompiler dashboard (React + Tailwind + Vite)
- Add runnable RVF (7,350 vectors, 49 segments, witness chain)
- Update evaluate-model.py to support configurable model architectures
- All 13 Rust tests pass, all 45 RVF files have valid SFVR headers

Co-Authored-By: claude-flow <ruv@ruv.net>
2026-04-03 04:57:47 +00:00

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