readme: ---
  language:
  - ar
  license: apache-2.0
  tags:
  - hf-asr-leaderboard
  - generated_from_trainer
  datasets:
  - mozilla-foundation/common_voice_11_0
  metrics:
  - wer
  model-index:
  - name: Whisper Small Ar-Martha
    results:
    - task:
        name: Automatic Speech Recognition
        type: automatic-speech-recognition
      dataset:
        name: Common Voice 11.0
        type: mozilla-foundation/common_voice_11_0
        args: 'config: ar'
      metrics:
      - name: Wer
        type: wer
        value: 70.20710621318639
  ---
  
  <!-- 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- Martha:
    
    This model is a fine-tuned version of openai/whisper-small on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:
  
  Loss: 0.5854
  
  Wer: 70.2071
  
  ## 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:
  
  
  learning_rate: 1e-05
  
   train_batch_size: 16
   
  eval_batch_size: 8
  
  seed: 42
  
  optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  
  lr_scheduler_type: linear
  
  lr_scheduler_warmup_steps: 500
  
  training_steps: 500
  
  mixed_precision_training: Native AMP
  
  # Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer     |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|
  | 0.9692        | 0.14  | 125  | 1.3372          | 173.0952|
  | 0.5716        | 0.29  | 250  | 0.9058          | 148.6795|
  | 0.3297        | 0.43  | 375  | 0.5825          | 63.6709 |
  | 0.3083	    | 0.57  | 500  | 0.5854          | 70.2071 |
  
  
  
  ## Framework versions
  
  Transformers 4.26.0.dev0
  
  Pytorch 1.13.0+cu116
  
  Datasets 2.7.1
  
  Tokenizers 0.13.2
  
  