soup: corrected README with full prod metrics + soup explanation

soup_30: composite=89.45 — see model card for benchmark deltas vs v45

v55: corrected metrics with max_new=900 (sub_del15 3.7%, composite 89.32)

v55: add inference recommendations (rep_pen=1.05, max_new_tokens guidance)

v55: composite=88.95 — see model card for benchmark deltas vs v45

v51: composite=88.68 — see model card for benchmark deltas vs v45

v45: SFT+chained GRPO with ITN — 95.9% number accuracy, 97.0% filler-free, deletion behavior matches v36

v36: full-FT GRPO with substantive-deletion-aware reward — filler-free 96.9%, sub-del-15-long 0.64%

v23 R6 (4-stage SFT->GRPO->Stage2->GRPO): ROUGE-L 0.9537 (tied v22), Filler-Free 91.1% (beats v22 90.3%), paragraph rate 91.5% — definitive v23 model

v23 R5 (paragraph rows excluded from GRPO): ROUGE-L 0.9505, Filler-Free 91.0%, paragraph rate 89.5% — best v23 variant overall

v23 R4 (LR 5e-6): Filler-Free 91.0% (beats v22 90.3%), paragraph rate 89%, ROUGE-L 0.9499

v23+paragraphs: ROUGE-L 0.9506, Filler-Free 90.2%, paragraph rate 91.5% (0% in v22)

Update model card: v15 detailed card with examples, benchmarks, and links

v15: ROUGE-L 0.960, 70% exact match — LR 2.5e-5 breakthrough

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