Stage 1: Fine-tuned on WaxalNLP Luganda standard speech (sw_waxal_tune_whisper_small)
Stage 2: Fine-tuned on cdli/ugandan_luganda_nonstandard_speech_v1.0
Best checkpoint: Step 450
Full model trained: encoder, decoder, projection

Results

Severity	Baseline WER	Fine-tuned WER
Mild	0.95	0.53
Moderate	0.99	0.62
Severe	0.99	0.67

Avg WER (normalized): 0.586 → improved from 0.972 baseline

Usage

python

from transformers import pipeline

asr = pipeline("automatic-speech-recognition", model="ElizabethMwangi/whisper-small-luganda-nss-v1.0")
result = asr("audio.wav")
print(result["text"])