Common Voice Whisper
Collection
Whisper models finetuned on the Common Voice dataset using https://github.com/mozilla-ai/speech-to-text-finetune • 9 items • Updated • 2
Finetuned penai/whisper-large-v3 on 116954 Galician training audio samples from cv-corpus-21.0-2025-03-14/gl.
This model was created from the Mozilla.ai Blueprint: speech-to-text-finetune.
Evaluation results on 29239 audio samples of Galician:
Baseline model (before finetuning) on Galician
- Word Error Rate (Normalized): 20.140
- Word Error Rate (Orthographic): 25.293
- Character Error Rate (Normalized): 7.427
- Character Error Rate (Orthographic): 6.224
- Loss: 1.905
Finetuned model (after finetuning) on Galician
- Word Error Rate (Normalized): 5.143
- Word Error Rate (Orthographic): 8.320
- Character Error Rate (Normalized): 1.865
- Character Error Rate (Orthographic): 2.446
- Loss: 0.126 """
Finetuned model (after finetuning) on the Galician FLEURS test set (total of 927 samples)
- Word Error Rate (Normalized): 9.804
- Word Error Rate (Orthographic): 13.147
- Character Error Rate (Normalized): 5.827
- Character Error Rate (Orthographic): 5.007
- Loss: 0.383
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Model tree for mozilla-ai/whisper-large-v3-gl
Base model
openai/whisper-large-v3Collection including mozilla-ai/whisper-large-v3-gl
Evaluation results
- wer on Common Voice (Galician)self-reported5.143