KasuleTrevor/qwen3-asr-en-atypical-promptless-specaug-decoder
010
Qwen3-ASR Atypical English — Decoder Adaptation + SpecAugment
This repository contains the validation-selected decoder checkpoint from the promptless Qwen3-ASR atypical-English architectural ablation.
Experiment
- Base model:
Qwen/Qwen3-ASR-1.7B - Dataset:
cdli/ugandan_english_nonstandard_speech_v1.0 - Condition:
decoder - Prompt: none
- SpecAugment: enabled, train-only
- LR:
5e-05 - Scheduler:
cosine - Seed:
42 - Batch / grad accumulation:
4/4 - Effective batch:
16
SpecAugment
Trainable parameters
Validation checkpoint selection
Selection was performed on the validation split only using mean normalized per-utterance WER/CER capped at 1.0.
Final test results
Primary reporting uses normalized per-utterance WER/CER, capped at 1.0 per utterance and then averaged. Normalized corpus metrics are retained as secondary diagnostics.
Results by severity
Results by disorder
Reproducibility
The exact corrected trainer is archived in this repository under:
code/qwen3_asr_sft_fixed_ablation.py
The companion private results repository is:
KasuleTrevor/qwen3-asr-en-atypical-promptless-specaug-results
No raw participant audio is redistributed.
