metadata
language:
- sn
tags:
- automatic-speech-recognition
- whisper
- audio
- multi-stage-finetuning
model-index:
- name: Whisper Small Shona - Verdi AI OS Stage 1c
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: google/fleurs + manassehzw/shona-bible-bdsc-aligned (Chunk 2)
type: google/fleurs
args: sn_zw
metrics:
- name: Test WER
type: wer
value: 26.42
pipeline_tag: automatic-speech-recognition
library_name: transformers
🌾 Verdi AI OS: Whisper Small Shona ASR (Stage 1c Completed)
This repository hosts a completely standalone, fully compiled model optimized natively for the Shona language (sn-ZW). It forms the core Speech-to-Text foundation for Verdi AI OS—an agricultural operating system built for logistics metrics automation and voice marketplace tracking.
📊 Training Progression Metrics
- Stage 1a (FLEURS Baseline): Dropped baseline WER to 37.15%
- Stage 1b (Bible Chunk 1): Dropped WER to 29.39%
- Stage 1c (Bible Chunk 2 - 6,000 Rows): Finished at 26.42% WER with an un-normalized training loss of 0.079