v0.2.2 full source + metrics
6c0bfac verified
Beat-the-competition levers — measured
Built: 2026-07-22T13:18:23.675085+00:00
Law: S=K(T1+T2+T3) pin D1D38A (unchanged)
L1 — Product dual-student ensemble (no ref peek)
| System |
sacreBLEU |
| opus-mt-de-en b5 |
33.88 |
| NLLB-600M b5 |
33.37 |
| Product ensemble (NLL pick) |
34.54 |
| Oracle uF1 ensemble (upper) |
37.13 |
| Picks |
{'opus': 1751, 'nllb': 1252} |
L3 — WMT finetune student (opus-mt-de-en)
| Metric |
Value |
| steps |
2500 |
| train pairs |
60000 |
| avg loss last 100 |
2.1199 |
| WMT test sacreBLEU |
32.2 |
| chrF |
58.85 |
| path |
D:\training data\pflt_linguistics\13_huggingface\models\Helsinki-NLP__opus-mt-de-en-wmt-ft |
L2 — Neural-first hybrid chat
| Metric |
Value |
| sacreBLEU |
48.74 |
| BLEU-4 |
51.38 |
| routes |
{'neural': 2800, 'densify': 400} |
| gap to chat 45 |
-3.74 |
Gaps to beat commercial mid-bar
| Bar |
Gap |
| Best single → 40 |
6.12 |
| Product ensemble → 40 |
5.46 |
| Finetuned → 40 |
7.8 |
| Best single → 48 |
14.12 |
Mid-40 cleared? False
Next if still short of 40
- Longer finetune / full WMT train epoch
- Ensemble finetuned-opus + NLLB
- Larger student (NLLB-1.3B) when disk allows
L3b — Safer finetune (freeze encoder, lr=2e-5, 1500 steps)
| Metric |
Value |
| WMT test sacreBLEU |
33.86 |
| vs base opus 33.88 |
-0.02 (flat / no win) |
| Aggressive FT v1 (full model 2500 steps) |
32.2 (regressed) |
Finding: Short domain FT of opus-mt-de-en does not cross 40. Need longer careful training, better data filter, or larger student.
L2 win
Neural-first hybrid chat 48.74 sacre (routes neural=2800 densify=400) — past chat mid bar 45.