readme: ---
  datasets:
  - Bingsu/zeroth-korean
  language:
  - ko
  metrics:
  - wer
  ---
  # Whisper Small Kr
  
  This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Bingsu korean dataset. It achieves the following results:
  
  ### Training results
  | Step | Training Loss | Validation Loss | Wer       |
  |------|---------------|-----------------|-----------|
  | 1000 | 0.1141        | 0.145484        | 10.811625 |
  | 2000 | 0.0369        | 0.106371        | 7.72474   |
  | 3000 | 0.0153        | 0.095729        | 6.520102  |
  
  ### Training hyperparameters
  
  The following hyperparameters were used during training:
  - learning_rate: 1e-05
  - train_batch_size: 16
  - 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: 3000
  - mixed_precision_training: Native AMP