tanh1c/lab21-2A202601755-qwen35-triage-vi

Lab 21 Vietnamese Customer-Support Triage LoRA

LoRA adapter trained on 225 synthetic Vietnamese customer-support tickets to produce a four-field JSON object: intent, urgency, product, and sentiment.

Configuration

• —Base: Qwen/Qwen3.5-9B
• —Placement: text-decoder linear modules
• —Rank / alpha: 16 / 32
• —Learning rate: 1e-4
• —Optimizer steps: 30 (2 epochs)
• —Precision: bf16
• —Hardware: NVIDIA A100-SXM4-40GB

Measured results

• —Target field accuracy: 0.990
• —Format compliance: 1.000
• —Prompted-base target baseline: 0.815
• —Regression score: 0.1333 versus 0.7422 for the base
• —Regression verdict: FAILED because general capability dropped by 0.609

Limitations

This adapter over-applies the triage JSON schema to general questions. It must not replace a general-purpose assistant without routing or replay-data mitigation. The measured target gain does not offset the general-capability regression for broad deployment.