README.md

metadata

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.

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