readme: ---
  language:
  - tr
  license: apache-2.0
  tags:
  - whisper
  - generated_from_trainer
  datasets:
  - mozilla-foundation/common_voice_11_0
  metrics:
  - wer
  model-index:
  - name: Whisper Small Turkish
    results:
    - task:
        name: Automatic Speech Recognition
        type: automatic-speech-recognition
      dataset:
        name: mozilla-foundation/common_voice_11_0 tr
        type: mozilla-foundation/common_voice_11_0
        config: tr
        split: test
        args: tr
      metrics:
      - name: Wer
        type: wer
        value: 16.318103103769815
  ---
  
  <!-- 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 Turkish
  
  This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the mozilla-foundation/common_voice_11_0 tr dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.2860
  - Wer: 16.3181
  - Cer: 4.1450
  
  ## 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: 8
  - 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: 20000
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Wer     | Cer    |
  |:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|
  | 0.1563        | 1.0   | 2500  | 0.2524          | 19.8570 | 5.1738 |
  | 0.032         | 2.01  | 5000  | 0.2567          | 18.5627 | 4.7793 |
  | 0.013         | 3.01  | 7500  | 0.2637          | 17.7723 | 4.6664 |
  | 0.0057        | 4.02  | 10000 | 0.2703          | 17.0596 | 4.3662 |
  | 0.0012        | 5.02  | 12500 | 0.2696          | 17.8322 | 5.2286 |
  | 0.003         | 6.03  | 15000 | 0.2800          | 16.7200 | 4.2972 |
  | 0.0003        | 7.03  | 17500 | 0.2834          | 16.4091 | 4.2018 |
  | 0.0002        | 8.04  | 20000 | 0.2860          | 16.3181 | 4.1450 |
  
  
  ### Framework versions
  
  - Transformers 4.27.0.dev0
  - Pytorch 1.13.1+cu117
  - Datasets 2.9.1.dev0
  - Tokenizers 0.13.2
  