| 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](https://github.com/mozilla-ai/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 | |