teckedd/gha-dondo-w2v-bert-twi-v2
DONDO w2v-BERT CTC fine-tune trial for Ghana Health AI (dondo-twi-v2). Promotion candidate: True.
- Base model:
KhayaAI/w2v-bert-ada_ewe_fat_fra_gaa_nzi_twi_en - Task:
automatic-speech-recognition - Languages:
tw,ak - Card generated: 2026-08-18 (UTC)
- Product: ghanahealth.serendepify.com
Not a medical device. Outputs support community health guidance only.
Metrics
| Metric | Value |
|---|---|
val_wer | 0.2743 |
val_cer | 0.0902 |
Training data
google/WaxalNLP (aka_asr)fsicoli/common_voice_22_0 (tw)local (ghana-health-ai-recorder)
Intended use
- In-product ASR / TTS / chat for Twi (Akan) and English health conversations in Ghana.
- Research on low-resource Ghanaian language speech and health dialogue.
Out of scope
- Clinical diagnosis or autonomous medical decisions.
- Claiming near-native quality without reporting held-out WER/CER or human A/B scores.
How to load
from transformers import pipeline # or AutoModel + processor per task
# repo: teckedd/gha-dondo-w2v-bert-twi-v2
Citation
If you use this checkpoint, please credit Ghana Health AI / Serendepify and the upstream base model authors plus any listed datasets.
DONDO language prefix
This checkpoint follows DONDO's language-conditioned CTC setup. For Asante Twi, prepend
language id 2 to acoustic features before decoding.
Training mix
- Sources:
google/WaxalNLP:aka_asr(n=10107),fsicoli/common_voice_22_0:tw(n=201),local:ghana-health-ai-recorder(n=32) - Learning rate:
5e-05· max steps:2500
Decode
- Greedy CTC: WER
0.27425920666477327/ CER0.09021929127602098 - Greedy CTC argmax only (no LM decode in this run).
Promotion gate
- Current v6 Whisper beam=5 WER:
0.3044 - This validation WER (greedy):
0.27425920666477327 - Promote: True