The goal was a small ASR model that handled IT vocabulary and Mandarin-English speech better. Three-stage fine-tuning improved Chinese results but produced truncated or empty English technical-speech outputs. Before increasing epochs, I evaluated every checkpoint and tried interpolation with the base weights.

On the current 1,700-item test set, a 50/50 mixture reduced overall CER from 13.36% to 11.62%, with both Chinese and English below baseline. It remains a candidate, without independent IT-term acceptance or a completed model release.