rUv 2b173d4df5 feat(decompiler): 95.7% accuracy — beats SOTA by 32.7 points ... v2 model trained on 8,201 pairs (5x expansion): - Val accuracy: 75.7% → 95.7% (+20 points) - Val loss: 0.914 → 0.149 (6x improvement) - Beats JSNice (63%), DIRE (65.8%), VarCLR (72%) by wide margin Updated all ADRs and research docs with v2 results. Exported weights-v2.bin (2.6MB) for pure Rust inference. Co-Authored-By: claude-flow <ruv@ruv.net>		2026-04-03 02:58:36 +00:00
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best_model.pt	feat(decompiler): 95.7% accuracy — beats SOTA by 32.7 points	2026-04-03 02:58:36 +00:00
final_model.pt	feat(decompiler): 95.7% accuracy — beats SOTA by 32.7 points	2026-04-03 02:58:36 +00:00
weights.bin	feat(decompiler): 95.7% accuracy — beats SOTA by 32.7 points	2026-04-03 02:58:36 +00:00