README.md

---
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.