readme: ---
  language:
  - ko
  license: apache-2.0
  tags:
  - whisper-event
  - generated_from_trainer
  datasets:
  - kr_dialect_speech
  metrics:
  - wer
  model-index:
  - name: Whisper Small Ko(Gyungsang dialect) - p4b
    results:
    - task:
        name: Automatic Speech Recognition
        type: automatic-speech-recognition
      dataset:
        name: KR Dialect Speech - gyungsang
        type: kr_dialect_speech
        config: gyungsang
        split: validation
        args: gyungsang
      metrics:
      - name: Wer
        type: wer
        value: 15.930018416206263
  ---
  
  <!-- 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 Ko(Gyungsang dialect) - p4b
  
  This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the KR Dialect Speech - gyungsang dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.2017
  - Wer: 15.9300
  
  ## 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: 5e-07
  - train_batch_size: 96
  - eval_batch_size: 64
  - seed: 42
  - distributed_type: multi-GPU
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: cosine
  - lr_scheduler_warmup_steps: 500
  - training_steps: 5000
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer      |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | 0.5909        | 0.2   | 1000 | 0.4133          | 211.6022 |
  | 0.3612        | 0.4   | 2000 | 0.2137          | 16.9429  |
  | 0.5373        | 0.6   | 3000 | 0.2063          | 15.8379  |
  | 0.2909        | 0.8   | 4000 | 0.2012          | 15.8379  |
  | 0.3317        | 1.0   | 5000 | 0.2017          | 15.9300  |
  
  
  ### Framework versions
  
  - Transformers 4.26.0.dev0
  - Pytorch 1.14.0.dev20221208+cu116
  - Datasets 2.7.1.dev0
  - Tokenizers 0.13.2
  