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@@ -11,24 +11,4 @@ base_model:
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  pipeline_tag: automatic-speech-recognition
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- ## Description
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- Fine-tuning Whisper Large V3 Turbo on zeroth Korean dataset.
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-
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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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-
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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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-
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- ## Notes
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- - Models did not converge, better results are possible.
 
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  pipeline_tag: automatic-speech-recognition
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  ---
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+ This repository contains the conversion of ghost613/whisper-large-v3-turbo-korean to the CTranslate2 model format.