readme: ---
  language:
  - ar
  tags:
  - whisper-event
  - generated_from_trainer
  datasets:
  - mozilla-foundation/common_voice_11_0
  metrics:
  - wer
  model-index:
  - name: "Whisper Medium AR - gerryc"
    results:
    - task:
        name: Automatic Speech Recognition
        type: automatic-speech-recognition
      dataset:
        name: FLEURS
        type: google/fleurs
        config: ar_eg
        split: test
        args: ar
      metrics:
      - name: Wer
        type: wer
        value: 52.8
  ---
  
  # Whisper Medium Ar - gerryc
  
  Model was trained on CommonVoice Train.  Tensorboard eval is on 256 samples of CommonVoice Dev.  
  
  Not normalized or lowercased.  Evaluated and saved every 2500 steps.
  This model was overtrained and is overfitted.  About 2000 to 4000 steps is around the best spot to stop training.
  
  