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Data & usage notice. This model was finetuned on a proprietary loyalty-card transaction dataset from a Southeast-Asian grocery retailer (not distributed; the training-data repos in this org are private). Like any LLM finetune, it may have memorized fragments of its training data — treat generated personas, baskets and behaviors as SYNTHETIC simulations, never as records of real individuals, and do not attempt to extract or re-identify training examples. Proprietary license: research/evaluation use within the terms set by the publishing org.
amityco/lbm-sft-v34r2 (v3.2's mix byte-identicalrepro/train/train_v34r2.sh. Evals: repro/eval/*.sh (protocols pinned).| Instrument | v3.4-r2 | v3.2 | notes |
|---|---|---|---|
| §7 coupon (proprietary TH retailer, 2,000 real events) AUC | 0.721 | 0.697 | best of any SG arm |
| Lazada 12,480 AUC | 0.670 | 0.661 | |
| IDN PSM strict-monotone / PME err | 99.5% / 9.2% | 1.0% / 21.8% | the r2 fix |
| SG persona ov@5 / rating MAE | 0.323 / 1.419 | 0.084 / 3.056 | |
| §7 mean P(redeem) (real .199) | 0.815 ⚠ | 0.759 | most over-confident — recalibrate before any volume forecast |
| Brand's WTP r / bias / MAPE / T2B | 0.878 / −29.2% / 32.8% / 0.100 | 0.990 / −10.2% / 19.2% / 0.547 | S$-register anchoring suspected; do not use for THB client pricing |
| HES income / age gradient MAE | 2.12 / 1.89 | 2.03 / 1.75 | G4 fail |
| HBA TVD / top-match | 39.7 / 63% | 36.1 / 63% | terse ×8-seed |
docs/reports/v34r2_battery/REPORT.md.