docs(model): training results addendum for LoRA sentiment + emotion

- FinBERT: 5 epochs, early stop at ~4.8, 6.2MB, F1=0.907, acc=0.955
- DistilRoBERTa: 5 epochs, early stop at ~4.8, 8.1MB, F1=0.594, acc=0.865
- Both with early stopping (patience=3)
- Known issues documented for next iteration

sentiment_engine/MODEL_CARD_TRAINING_STATUS.md

@@ -243,3 +243,57 @@ test_cases = [
 | 2026-09-26 | Auto-audit | Event classifier validation | bert-base-event | 8/8 PASS — model IS fine-tuned, do not retrain |
 
 **NEXT STEP:** Proceed with FinBERT and DistilRoBERTa fine-tuning. bert-base-event is LOCKED.
+
+---
+
+### TRAINING RESULTS (2026-09-26)
+
+#### FinBERT Crypto Sentiment LoRA
+| Metric | Value |
+|--------|-------|
+| Epochs | 5 (early stopped at ~4.8) |
+| Train samples | 796 (augmented from 177 unique) |
+| Val samples | 89 |
+| Trainable params | 1,341,699 / 110M (1.21%) |
+| Final train loss | 0.326 |
+| Final eval loss | 0.141 |
+| Final eval F1 | 0.907 |
+| Final eval accuracy | 0.955 |
+| Adapter size | 6.2 MB |
+| Early stopping | Triggered at epoch ~4.8 |
+
+**Known Issue:** Still biased toward Neutral on crypto-specific slang (HODL, rug, ape, etc.) — needs more training data or human-verified samples.
+
+#### DistilRoBERTa Crypto Emotion LoRA
+| Metric | Value |
+|--------|-------|
+| Epochs | 5 (early stopped at ~4.8) |
+| Train samples | 184 (synthetic templates) |
+| Val samples | 21 |
+| Trainable params | 1,258,758 / 83M (1.51%) |
+| Final train loss | 0.410 |
+| Final eval loss | 0.290 |
+| Final eval F1 macro | 0.594 |
+| Final eval accuracy | 0.865 |
+| Adapter size | 8.1 MB |
+| Weighted loss | greed=2.0, fear=2.0, joy=1.5 |
+
+**Validation Results:**
+- "BTC breaks 100k!" → joy(0.82), greed(0.49) ✅
+- "Major hack" → sadness(0.49), fear(0.31) ⚠️ (fear low)
+- "Panic selling" → fear(0.73), greed(0.49) ✅
+- "FOMO buying" → greed(0.57), anger(0.43) ✅
+- "Rug pull" → fear(0.47), anger(0.34) ⚠️
+- "ETF approved!" → joy(0.95), greed(0.59) ✅
+
+**Known Issue:** Fear class under-activated on hack/rugged texts; needs more fear samples.
+
+---
+
+### ADDENDUM LOG
+
+| Date | Author | Action | Models | Notes |
+|------|--------|--------|--------|-------|
+| 2026-09-26 | Auto-audit | Initial status doc | All 4 | Baseline before any retraining |
+| 2026-09-26 | Auto-audit | Event classifier validation | bert-base-event | 8/8 PASS — model IS fine-tuned, do not retrain |
+| 2026-09-26 | Pipeline | LoRA training complete | FinBERT, DistilRoBERTa | 5 epochs with early stopping |