Whisper Large V3 - Swahili Afrivoice (All 5 Domains)
Fine-tuned on all 5 domains of Swahili Afrivoice dataset (389,599 utterances).
Training Details
| Parameter |
Value |
| Base Model |
openai/whisper-large-v3 |
| Language |
Swahili (sw) |
| Task |
Transcribe |
| Dataset |
All 5 domains (389,599 utterances) |
| Max Steps |
1000 |
| Best Checkpoint |
Step 600 |
| Batch Size |
4 (effective batch 32) |
| Learning Rate |
1e-5 |
| SpecAugment |
Enabled |
Results
| Dataset |
WER |
| Afrivoice (Avg WER) |
10.9% |
| Common Voice Swahili |
29.7% |
| Non-standard Speech |
43.4% |
Usage
from transformers import pipeline
asr = pipeline("automatic-speech-recognition", model="ElizabethMwangi/whisper-large-v3-swahili-afrivoice-5domains")
result = asr("audio.wav")
print(result["text"])
