---
base_model: openai/whisper-small
datasets:
- artifacts/sv-SE_mozilla-foundation_common_voice_17_0
library_name: transformers
license: apache-2.0
model-index:
- name: Finetuned openai/whisper-small on Swedish
  results:
  - task:
      type: automatic-speech-recognition
      name: Speech-to-Text
    dataset:
      name: Common Voice (Swedish)
      type: common_voice
    metrics:
    - type: wer
      value: 20.889
language:
- sv
---

# Finetuned openai/whisper-small on 12954 Swedish training audio samples from artifacts/sv-SE_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 5259 audio samples of Swedish:

### Baseline model (before finetuning) on Swedish
- Word Error Rate: 28.406
- Loss: 1.068

### Finetuned model (after finetuning) on Swedish
- Word Error Rate: 20.889
- Loss: 0.305