metadata

base_model: openai/whisper-small
datasets:
  - mozilla-foundation/common_voice_17_0
language: fr
library_name: transformers
license: apache-2.0
model-index:
  - name: Finetuned openai/whisper-small on French
    results:
      - task:
          type: automatic-speech-recognition
          name: Speech-to-Text
        dataset:
          name: Common Voice (French)
          type: common_voice
        metrics:
          - type: wer
            value: 23.511

Finetuned openai/whisper-small on 20000 French training audio samples from mozilla-foundation/common_voice_17_0.

This model was created from the Mozilla.ai Blueprint: speech-to-text-finetune.

Evaluation results on 5000 audio samples of French:

Baseline model (before finetuning) on French

Word Error Rate: 30.304
Loss: 1.155

Finetuned model (after finetuning) on French

Word Error Rate: 23.511
Loss: 0.449