metadata

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.

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