readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - wer
  model-index:
  - name: whisper-tiny-ar-quran
    results: []
  ---
  
  <!-- 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-tiny-ar-quran
  
  This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.0928
  - Wer: 7.0535
  
  ## 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: 0.0001
  - 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: 5000
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer     |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|
  | 0.1766        | 0.05  | 500  | 0.2829          | 20.0236 |
  | 0.1129        | 0.09  | 1000 | 0.1981          | 13.8364 |
  | 0.0775        | 0.14  | 1500 | 0.1763          | 12.5450 |
  | 0.0678        | 0.19  | 2000 | 0.1485          | 10.7302 |
  | 0.0437        | 0.23  | 2500 | 0.1336          | 9.6693  |
  | 0.0341        | 0.28  | 3000 | 0.1244          | 8.9602  |
  | 0.0302        | 0.33  | 3500 | 0.1059          | 8.2224  |
  | 0.0189        | 0.37  | 4000 | 0.1044          | 7.6902  |
  | 0.0167        | 0.42  | 4500 | 0.0966          | 7.2643  |
  | 0.0151        | 0.47  | 5000 | 0.0928          | 7.0535  |
  
  
  ### Framework versions
  
  - Transformers 4.26.0.dev0
  - Pytorch 1.13.0+cu117
  - Datasets 2.7.1.dev0
  - Tokenizers 0.13.2
  