🎉 Upload Titan Medium 48k ckpts. Thanks ❤️ Mustar

.gitattributes

@@ -49,3 +49,4 @@ demos/Model[[:space:]]3[[:space:]]-[[:space:]]Test[[:space:]]2[[:space:]]-[[:spa
 demos/Model[[:space:]]3[[:space:]]-[[:space:]]Test[[:space:]]2[[:space:]]-[[:space:]]Titan.wav filter=lfs diff=lfs merge=lfs -text
 models/medium/40k/model/added_IVF256_Flat_nprobe_1_v2.index filter=lfs diff=lfs merge=lfs -text
 models/medium/32k/model/added_IVF256_Flat_nprobe_1_v2.index filter=lfs diff=lfs merge=lfs -text
+models/medium/48k/model/added_IVF256_Flat_nprobe_1_v2.index filter=lfs diff=lfs merge=lfs -text

README.md

@@ -26,6 +26,7 @@ TITAN is a state-of-the-art pretrained model designed for Retrieval-based Voice
 ### Titan-Medium
 
 - 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.
+- Iterations (48k): 1018660 Steps and 530 Epochs
 - Iterations (40k): 1010588 Steps and 467 Epochs
 - Iterations (32k): 1001469 Steps and 463 Epochs
 - Sampling rate: 48k (still training), 40k, 32k

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models/medium/48k/pretrained/D-f048k-TITAN-Medium.pth

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