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README.md
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This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1552
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- Wer: 8.6411
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## Model description
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## Intended uses & limitations
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## Training and evaluation data
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## Training procedure
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This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1552
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- Wer: 8.6411 (is improved against 10.4449 from [jangmin/whisper-small-ko-1159h](https://huggingface.co/jangmin/whisper-small-ko-1159h))
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## Model description
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The model was trained to transcript the audio sources into Korean text.
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## Intended uses & limitations
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## Training and evaluation data
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I downloaded all data from AI-HUB (https://aihub.or.kr/). Two datasets, in particular, caught my attention: "Instruction Audio Set" and "Noisy Conversation Audio Set". I intentionally gathered 796 hours of audio from the first dataset and 363 hours of audio from the second dataset (This includes statistics for the training data only, and excludes information about the validation data.).
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## Training procedure
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