README.md

metadata

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 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