Update README.md

README.md

@@ -14,30 +14,30 @@ tags:
 
 ## Model description
 
-DMR is a pretrain designed to improve soft and deep voices.
+DMR V2 is a pretrain designed to improve soft and deep voices.
 
 ## Intended uses
 
 - Improve voice conversion quality, especially for soft and deep voices
-- Enhance breathing sounds (and eventually whispering) in voice conversion
+- Enhance noise type sounds
 - Make better E-girl and Mommy voices :3
 
 ## Training data
 
 The model was trained on a custom dataset with the following details:
-- Total duration: 11.3 hours
+- Total duration: 22 hours
 - Language: English
-- Number of speakers: 22
-  - 16 female speakers
-  - 6 male speakers
+- Number of speakers: 45
+  - 35 female speakers
+  - 10 male speakers
 
 ## Training Process
 
 DMR was trained with Applio using a RTX 4060TI 16gb.
-- BatchSize: 8
-- Pitch Extraction Method: Mangio-Crepe
-- Hop Length: 32
+- BatchSize: 14
+- Pitch Extraction Method: RMVPE
 - Sample Rate: 32K
+- Seperated Speakers
 
 ## Usage
 
@@ -47,8 +47,4 @@ To use the DMR pretrain:
 2. For standard RVC setup:
    - Place the downloaded files in the `pretrained_v2` folder.
 3. For Applio users:
-   - Place the downloaded files in the `custom pretrains` folder.
-
-## Additional Information
-
-I do plan to make a V2 of DMR with around 40 hours of speech using a newer GAN but I do not have a release date.
+   - Place the downloaded files in the `custom pretrains` folder.