Metrics
Table with columns: Metric, Value| Metric | Value |
|---|
val_wer | 0.2970 |
val_cer | 0.1031 |
Training data
google/WaxalNLP (aka_asr)
local (ghana-health-ai-recorder)
fsicoli/common_voice_22_0 (tw)
fsicoli/common_voice_22_0 (en)
ghananlpcommunity/twi-speech-text-multispeaker-16k (default)
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
Citation
If you use this checkpoint, please credit Ghana Health AI / Serendepify and the upstream base model authors plus any listed datasets.
Recipe
- Run:
v6-local-holdout
- Freeze encoder:
False
- LR / steps / batch:
5e-06 / 600 / 8x4
- Local recorder data:
True · manifest /root/gha_local_asr/manifest.train32.jsonl · weight 0.08
- Baseline to beat (v6 serving, Waxal full test greedy):
0.3149
- Beats v6 greedy: False · v6 beam5 bar (
0.3044): False
- Historical reference (Round 2 greedy, superseded):
Serving
Production decode uses num_beams=5 in modal/asr_service.py.