readme: ---
  language:
  - is
  license: apache-2.0
  tags:
  - whisper-event
  - hf-asr-leaderboard
  datasets:
  - language-and-voice-lab/samromur_asr
  - language-and-voice-lab/althingi_asr
  - language-and-voice-lab/malromur_asr
  - language-and-voice-lab/samromur_children
  - language-and-voice-lab/raddromur_asr
  metrics:
  - wer
  pinned: false
  model-index:
  - name: Whisper medium is
    results:
    - task:
        type: automatic-speech-recognition
        name: Automatic Speech Recognition
      dataset:
        name: samromur
        type: language-and-voice-lab/samromur_asr
        config: samromur_asr
        split: test
      metrics:
      - type: wer
        value: 10.08%
        name: WER
    - task:
        type: automatic-speech-recognition
        name: Automatic Speech Recognition
      dataset:
        name: google/fleurs
        type: google/fleurs
        config: is_is
        split: test
      metrics:
      - type: wer
        value: 13.94
        name: WER
  ---
  # openai/whisper-medium
  
  This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the samromur, malromur, raddromur and althingi datasets.
  It achieves the following results on the evaluation set, the output is lowercased and punctuation is removed:
  - Google Fleurs 13.94% WER
  - Samrómur 10.08% WER
  
  ### Framework versions
  
  - Transformers 4.26.0.dev0
  - Pytorch 1.13.0+cu117
  - Datasets 2.7.1.dev0
  - Tokenizers 0.13.2
  