readme: ---
  language:
  - tt
  license: apache-2.0
  tags:
  - whisper-event
  datasets:
  - mozilla-foundation/common_voice_11_0
  metrics:
  - wer
  model-index:
  - name: Whisper Small Tatar - Kirill Milintsevich
    results:
    - task:
        name: Automatic Speech Recognition
        type: automatic-speech-recognition
      dataset:
        name: mozilla-foundation/common_voice_11_0 tt
        type: mozilla-foundation/common_voice_11_0
        config: tt
        split: test
        args: tt
      metrics:
      - name: Wer
        type: wer
        value: 29.091166477916197
  ---
  
  # Whisper Small Tatar - Kirill Milintsevich
  
  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: 0.4745
  - Wer: 29.1407
  
  ## 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: 64
  - 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     |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|
  | 0.0415        | 4.98  | 1000 | 0.3252          | 29.9512 |
  | 0.0041        | 9.95  | 2000 | 0.3982          | 29.4805 |
  | 0.0007        | 14.93 | 3000 | 0.4457          | 29.1513 |
  | 0.0003        | 19.9  | 4000 | 0.4665          | 29.0912 |
  | 0.0002        | 24.88 | 5000 | 0.4745          | 29.1407 |