readme: ---
  license: apache-2.0
  tags:
    - whisper-event
    - generated_from_trainer
    - hf-asr-leaderboard
  datasets:
  - mozilla-foundation/common_voice_11_0
  metrics:
  - wer
  model-index:
  - name: Whisper-small-ar - Mourad Mars
    results:
    - task:
        name: Automatic Speech Recognition
        type: automatic-speech-recognition
      dataset:
        name: mozilla-foundation/common_voice_11_0
        type: mozilla-foundation/common_voice_11_0
        config: ar
        split: test
        args: ar
      metrics:
      - name: Wer
        type: wer
        value: 44.976586
  ---
  
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
  should probably proofread and complete it, then remove this comment. -->
  
  # Whisper-small-ar - Mourad Mars
  
  This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the common_voice_11_0 dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.322550
  - Wer: 44.976586
  
  ## Model description
  
  More information needed
  
  ## Intended uses & limitations
  
  More information needed
  
  ## Training and evaluation data
  
  More information needed
  
  ## Training procedure
  
  ### Training hyperparameters
  
  The following hyperparameters were used during training:
      
      train_batch_size=16
      
      eval_batch_size=8
      
      optimizer: Adam
      
      learning_rate=1e-5
      
      warmup_steps=500
      
      max_steps=4000
          
      eval_steps=1000
      
      
      metric_for_best_model="wer"
  
  
  ### Training results
  
  
  | Training Loss | Step | Validation Loss  | Wer       |
  |:-------------:|:----:|:----------------:|:---------:|
  | 0.2811        | 1000 | 0.393018         | 53.778349 |
  | 0.2356        | 2000 | 0.348794         | 47.793591 |
  | 0.1705        | 3000 | 0.332207         | 45.758883 |
  | 0.1476        | 4000 | 0.322550         | 44.976586 |
  
  
  ### Framework versions
  
  
  