teckedd/gha-dondo-w2v-bert-twi-v1
DONDO w2v-BERT CTC fine-tune trial for Ghana Health AI (dondo-waxal-twi-v1). Promotion candidate: False.
- Base model:
KhayaAI/w2v-bert-ada_ewe_fat_fra_gaa_nzi_twi_en - Task:
automatic-speech-recognition - Languages:
tw,ak - Card generated: 2026-08-12 (UTC)
- Product: ghanahealth.serendepify.com
Not a medical device. Outputs support community health guidance only.
Metrics
| Metric | Value |
|---|---|
val_wer |
0.3577 |
val_cer |
0.1219 |
Training data
google/WaxalNLP
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-v1
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.
Promotion gate
- Current v6 Whisper beam=5 WER:
0.3044 - This validation WER:
0.3577304964539007 - Promote: False