---
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
      type: google/fleurs
      args: sn_zw
    metrics:
    - name: Test WER
      type: wer
      value: 25.52
pipeline_tag: automatic-speech-recognition
library_name: transformers
---

# 🌾 Verdi AI OS: Whisper Small Shona ASR (Stage 1c Mastered Core)

This repository hosts a completely standalone, fully compiled model optimized natively for the Shona language (`sn-ZW`).

## 📊 Training Progression Metrics
- **Stage 1a (FLEURS Baseline):** Baseline WER dropped to **37.15%**
- **Stage 1b (Bible Chunk 1):** Dropped WER to **29.39%**
- **Stage 1c (Bible Chunk 2 & 3 Increments):** Achieved new floor of **25.52%** WER.