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README.md
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license: mit
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# RVC-Umamusume
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Each model was trained for 100 epochs with batch size of 12, averaging 40 steps per epoch.
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On average, each character was trained using 10 to 20 minutes of voice data.
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If you think the performance of the model I created is not good, I
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license: mit
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datasets:
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- TLME/Umamusume-voice-transcription
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# RVC-Umamusume
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Each model was trained for 100 epochs with batch size of 12, averaging 40 steps per epoch.
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On average, each character was trained using 10 to 20 minutes of voice data.
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If you think the performance of the model I created is not good, I presented the dataset, and you can train it yourself.
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The majority of characters' voices come from :[Umamusume-voice-transcription](https://huggingface.co/datasets/TLME/Umamusume-voice-transcription), while a small portion of characters' voices come from: [zomehwh/tttttttt ](https://huggingface.co/datasets/zomehwh/tttttttt/tree/main).
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