---
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