Tóm tắt — Lab 21 submission (Phạm Anh Minh, MSSV 2A202601260)
LoRA adapter
correct (all-linear, r=16, alpha=32, LR 1e-4, fp16) huấn luyện trên
unsloth/Qwen3.5-4B cho tác vụ triage ticket CSKH tiếng Việt → JSON 4 trường
(
intent,
urgency,
product,
sentiment). Chi tiết đầy đủ (setup, mask proof,
4 nhóm contrast, phán quyết, phân tích, kết luận) nằm trong
submission/REPORT.md
của repo này; số liệu thô nằm trong
results/.
Kết quả chính (tập target n=50, tập regression n=15):
| Run | target | regression | format |
|---|
| (a) base + naive prompt | 0.000 | 0.758 | 0.000 |
| (b) base + optimized prompt | 0.765 | 0.758 | 1.000 |
(c) LoRA fine-tune (correct, adapter này) | 0.970 | 0.544 | 1.000 |
Cổng hồi quy: FAILED (target Δ +0.205, regression Δ −0.213, ngưỡng cho phép 0.020) —
fine-tune học rất tốt tác vụ triage nhưng đánh đổi bằng catastrophic forgetting trên các
chỉ dẫn ngoài phạm vi triage. Xem submission/REPORT.md mục 5 để biết phân tích đầy đủ và
khuyến nghị (không deploy nguyên trạng cho hệ thống đa năng; cần trộn 1–5% dữ liệu chỉ dẫn
tổng quát rồi train lại).
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