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README.md
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@@ -26,8 +26,7 @@ TITAN is a state-of-the-art pretrained model designed for Retrieval-based Voice
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### Titan-Medium
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- Training Environment: Utilized a RTX 3060 TI on Applio v3.1.1 (https://github.com/IAHispano/Applio), employing a batch size of 8 over a span of 3 weeks.
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- Iterations:
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- Epochs: X
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- Sampling rate: 40k, 32k (still training)
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- Fine-tuning Process: RVC v2 pretrained with pitch guidance, leveraging an 11.15-hour dataset sourced from Expresso (https://arxiv.org/abs/2308.05725) also available on [datasets/blaise-tk/TITAN-Medium](https://huggingface.co/datasets/blaise-tk/TITAN-Medium).
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### Titan-Medium
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- Training Environment: Utilized a RTX 3060 TI on Applio v3.1.1 (https://github.com/IAHispano/Applio), employing a batch size of 8 over a span of 3 weeks.
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- Iterations: 1010588 Steps and 467 Epochs
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- Sampling rate: 40k, 32k (still training)
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- Fine-tuning Process: RVC v2 pretrained with pitch guidance, leveraging an 11.15-hour dataset sourced from Expresso (https://arxiv.org/abs/2308.05725) also available on [datasets/blaise-tk/TITAN-Medium](https://huggingface.co/datasets/blaise-tk/TITAN-Medium).
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