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--- |
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datasets: |
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- Bingsu/zeroth-korean |
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language: |
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- ko |
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metrics: |
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- cer |
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- wer |
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base_model: |
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- openai/whisper-large-v3-turbo |
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pipeline_tag: automatic-speech-recognition |
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--- |
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## Description |
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Fine-tuning Whisper Large V3 Turbo on zeroth Korean dataset. |
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## Dataset split: |
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- The test dataset from Korean zeroth is divided to test and validation -> 50% validation, 50% test |
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- Train set duration: 206 hours 43 minutes |
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- Validation set duration: 2 hours 22 minutes |
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- Test set duration: 2 hours 22 minutes |
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## Results: |
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- initial validation WER: 26.26% |
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- final validation WER: 4.90% |
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- initial validation CER: 6.67% |
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- final validation CER: 1.78% |
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- initial test WER: 26.75% |
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- final test WER: 4.89% |
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- initial test CER: 7.58% |
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- final test CER: 2.06% |
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## Notes |
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- Models did not converge, better results are possible. |
