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Whisper Small Kr

This model is a fine-tuned version of 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
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Dataset used to train deemboi/whisper-small-kr