readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  - whisper-event
  metrics:
  - wer
  model-index:
  - name: whisper-medium-mediaspeech-cv-tr
    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: 9.9776
  ---
  
  <!-- 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-medium-mediaspeech-cv-tr
  
  This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.1813
  - Wer: 9.9776
  
  ## 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: 3000
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer     |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|
  | 0.1187        | 0.33  | 1000 | 0.2169          | 13.7678 |
  | 0.0579        | 1.26  | 2000 | 0.1814          | 10.8222 |
  | 0.0313        | 2.19  | 3000 | 0.1813          | 9.9776  |
  
  
  ### Framework versions
  
  - Transformers 4.26.0.dev0
  - Pytorch 1.13.0+cu117
  - Datasets 2.7.1.dev0
  - Tokenizers 0.13.2
  