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  metrics:
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  - wer
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  ---
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- Whisper Small Kr
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- This model is a fine-tuned version of openai/whisper-small on the Bingsu korean dataset. It achieves the following results:
 
 
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  | Step | Training Loss | Validation Loss | Wer |
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  |------|---------------|-----------------|-----------|
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  | 1000 | 0.1141 | 0.145484 | 10.811625 |
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  | 2000 | 0.0369 | 0.106371 | 7.72474 |
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  | 3000 | 0.0153 | 0.095729 | 6.520102 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  metrics:
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  - wer
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  ---
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+ # Whisper Small Kr
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+ 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:
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+
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+ ### Training results
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  | Step | Training Loss | Validation Loss | Wer |
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  |------|---------------|-----------------|-----------|
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  | 1000 | 0.1141 | 0.145484 | 10.811625 |
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  | 2000 | 0.0369 | 0.106371 | 7.72474 |
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  | 3000 | 0.0153 | 0.095729 | 6.520102 |
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 1e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_steps: 500
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+ - training_steps: 3000
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+ - mixed_precision_training: Native AMP