Description
Dataset made by , model trained by me
Comments
sample?
un momento
aint no way
you trained 1000
for chowder
The dataset totaled 2 minutes in duration, so I had to train the model for more epochs than normal
dawg
how long did it take
i've trained <1 minute models on like 300-500 you kinda wasted some time 😭
No I didn't bruh, I trained for as long as I could _right until_ the model started to become overfit.
🤷♂️🤷♂️🤷♂️
Besides, the model trained pretty damn fast, it felt like the training went by 1 epoch per second
oh yea that happens with smaller datasets yeah
Less than an hour, I think
curious tho why only 2 minutes of audio
Ask
i make mine with that amount of data at 400 and it sounds fine this has gotta be overtrained as SHIT
Trust me, I monitored the graph, and I saved the checkpoint that was created right before the model started to become overfit.
The loss/total graph
Wheezer says he wasn't able to find more storyboard video versions of episodes
uvr5 to the rescue lole
dawg i have message perms now
Nice BTW, what Cassidy means is that you can use a speech isolator like UVR 5 to remove background noise from voice clips
ik
i just dont have the patience to do that
Plus, it's not always recommended
lord forgive me
Thoughts?
he let the intrusive thoughts win
It sucks that these retards' unconstructive feedback was archived. 👎 I tried telling them that 1,000 was how many epochs the model had to be trained for, but they were saying retarded shit like "you wasted time bro," "this shit's gotta be overtrained as hell," "I don't need to train my RVC models for that many epochs for them to generate good-sounding results" That feedback genuinely gets me angry, so fuck those dicks.
"good morning everybody! whoa, what happened in here?"
This model dry as sukuna
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Samples
1. Singing
Male
English
2. Singing
Female
English
3. Singing (Dry)
Female
English
4. Singing (High)
Female
English
5. Singing 2
Male
English
6. Singing (Dry)
Male
English
7. Singing (Dry, High)
Male
English
Pitch
Weekly Metrics
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