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README.md
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@@ -9,6 +9,10 @@ metrics:
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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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Dataset split:
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- test -> 50% validation, 50% test
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- Train set duration: 206 hours 43 minutes
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@@ -19,5 +23,4 @@ Results:
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- validation WER: 4.90%
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- validation CER: 1.78%
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- test WER: 4.89
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- test CER: 2.06
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---
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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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Fine-tuning Whisper :arge v3 Turbo on zeroth Korean dataset.
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Dataset split:
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- test -> 50% validation, 50% test
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- Train set duration: 206 hours 43 minutes
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- validation WER: 4.90%
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- validation CER: 1.78%
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- test WER: 4.89
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- test CER: 2.06
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