Whisper Amharic Small v2
Fine-tuned Whisper Small model for Amharic speech recognition using Mozilla Common Voice dataset.
Performance
- WER: 69% (improved from 77% in v1)
- Dataset: Mozilla Common Voice Amharic
- Base Model: openai/whisper-small
Usage
from transformers import WhisperProcessor, WhisperForConditionalGeneration
processor = WhisperProcessor.from_pretrained("chappM/whisper-amharic-small-v2")
model = WhisperForConditionalGeneration.from_pretrained("chappM/whisper-amharic-small-v2")
Optimized for Amharic speech recognition tasks.
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Evaluation results
- WER on Common Voice 17.0test set self-reported69.000