File size: 654 Bytes
68700c8 5386126 afa3ec6 5386126 afa3ec6 68700c8 afa3ec6 68700c8 afa3ec6 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 |
---
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. |