| base_model: openai/whisper-large-v3-turbo | |
| datasets: | |
| - fi | |
| language: fi | |
| library_name: transformers | |
| license: apache-2.0 | |
| model-index: | |
| - name: Finetuned openai/whisper-large-v3-turbo on Finnish | |
| results: | |
| - task: | |
| type: automatic-speech-recognition | |
| name: Speech-to-Text | |
| dataset: | |
| name: Common Voice (Finnish) | |
| type: common_voice | |
| metrics: | |
| - type: wer | |
| value: 11.972 | |
| # Finetuned openai/whisper-large-v3-turbo on 2093 Finnish training audio samples from /home/kostis/cv-corpus-22.0-2025-06-20/fi. | |
| 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 1806 audio samples of Finnish: | |
| ### Baseline model (before finetuning) on Finnish | |
| - Word Error Rate (Normalized): 16.576 | |
| - Word Error Rate (Orthographic): 20.298 | |
| - Character Error Rate (Normalized): 3.808 | |
| - Character Error Rate (Orthographic): 4.498 | |
| - Loss: 2.112 | |
| ### Finetuned model (after finetuning) on Finnish | |
| - Word Error Rate (Normalized): 11.972 | |
| - Word Error Rate (Orthographic): 15.884 | |
| - Character Error Rate (Normalized): 2.255 | |
| - Character Error Rate (Orthographic): 3.119 | |
| - Loss: 0.172 | |