metadata
datasets:
- Bingsu/zeroth-korean
language:
- ko
metrics:
- cer
- wer
base_model:
- openai/whisper-large-v3-turbo
pipeline_tag: automatic-speech-recognition
Description
Fine-tuning Whisper Large V3 Turbo on zeroth Korean dataset.
Dataset split:
- The test dataset from Korean zeroth is divided to test and validation -> 50% validation, 50% test
- Train set duration: 206 hours 43 minutes
- Validation set duration: 2 hours 22 minutes
- Test set duration: 2 hours 22 minutes
Results:
- validation WER: 4.90%
- validation CER: 1.78%
- test WER: 4.89%
- test CER: 2.06%
Notes
- Models did not converge, better results are possible.