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: 16.632698616044568
  ---
  
  <!-- 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: 0.2576
  - Wer: 16.6327
  - Cer: 4.2853
  
  ## 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: 32
  - eval_batch_size: 16
  - 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     | Cer    |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|
  | 0.1412        | 0.08  | 400  | 0.2656          | 19.8335 | 5.2393 |
  | 0.0851        | 1.03  | 800  | 0.2382          | 18.6300 | 4.8916 |
  | 0.0525        | 1.11  | 1200 | 0.2532          | 19.1696 | 5.2238 |
  | 0.0163        | 2.07  | 1600 | 0.2447          | 17.2014 | 4.5840 |
  | 0.0202        | 3.02  | 2000 | 0.2472          | 17.1063 | 4.4935 |
  | 0.0075        | 3.1   | 2400 | 0.2503          | 17.0151 | 4.4318 |
  | 0.0039        | 4.05  | 2800 | 0.2514          | 16.7433 | 4.3655 |
  | 0.0038        | 5.01  | 3200 | 0.2565          | 16.8870 | 4.3582 |
  | 0.0023        | 5.09  | 3600 | 0.2590          | 16.6987 | 4.3337 |
  | 0.0013        | 6.04  | 4000 | 0.2576          | 16.6327 | 4.2853 |
  | 0.0011        | 6.12  | 4400 | 0.2647          | 16.9122 | 4.3556 |
  | 0.001         | 7.07  | 4800 | 0.2615          | 16.6346 | 4.2839 |
  
  
  ### Framework versions
  
  - Transformers 4.26.0.dev0
  - Pytorch 1.13.1+cu117
  - Datasets 2.8.1.dev0
  - Tokenizers 0.13.2
  