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@@ -10,9 +10,9 @@ Pretrained RingFormer v2 from [codename's RVC fork](https://github.com/codename0
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  **Sample rate**: 40000
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  **Embedder**: Spin v2
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- **Mel Loss**: Experimental L1 + MR-STFT loss
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  **F0**: RMVPE
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- **Precision**: FP16 / FP32 mixed (BF16 proved to be very imprecise in ablation tests, achieving way worse loss values, I don't recommend using it for training any RVC models)
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  **Speakers**: 225
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  **Dataset length**: 235:31:50, of which 37:26:53 is Russian, rest is English.
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  **Sample rate**: 40000
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  **Embedder**: Spin v2
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+ **Mel Loss**: Experimental L1 + MR-STFT loss
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  **F0**: RMVPE
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+ **Precision**: FP16 / FP32 mixed (BF16 proved to be very imprecise in ablation tests, achieving way worse loss values, I don't recommend using it for training any RVC models)
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  **Speakers**: 225
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  **Dataset length**: 235:31:50, of which 37:26:53 is Russian, rest is English.
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