readme: ---
  language:
  - tt
  license: apache-2.0
  tags:
  - whisper-event
  datasets:
  - mozilla-foundation/common_voice_11_0
  metrics:
  - wer
  model-index:
  - name: Whisper Tiny 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: 49.228482446206115
  ---
  
  # Whisper Tiny Tatar - Kirill Milintsevich
  
  This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Common Voice 11.0 dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.5106
  - Wer: 49.2285
  
  ## 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: 32
  - 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     |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|
  | 0.4268        | 2.49  | 500  | 0.6232          | 63.6537 |
  | 0.2331        | 4.98  | 1000 | 0.5044          | 52.3818 |
  | 0.1332        | 7.46  | 1500 | 0.4927          | 50.2300 |
  | 0.09          | 9.95  | 2000 | 0.5106          | 49.2285 |
  | 0.048         | 12.44 | 2500 | 0.5526          | 49.7806 |
  | 0.0346        | 14.93 | 3000 | 0.5850          | 50.0319 |
  | 0.0181        | 17.41 | 3500 | 0.6276          | 50.5592 |
  | 0.0122        | 19.9  | 4000 | 0.6494          | 50.3327 |
  | 0.0086        | 22.39 | 4500 | 0.6737          | 50.6688 |
  | 0.0077        | 24.88 | 5000 | 0.6777          | 50.6724 |