Whisper Small for Korean Low quaiity Call Voices
This model is a fine-tuned version of openai/whisper-small on the Korean Low Quaiity Call Voices dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.4011
- eval_cer: 18.5520
- eval_samples_per_second: 1.119
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: 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: 8000
Framework versions
- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.0
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Base model
openai/whisper-base