#Couldn't start the model training process
1 messages · Page 1 of 1 (latest)
Ayo? @stark zealot level 1 !!! 
in preprocessing, switch to v1 then back to v2, select 32k again, and redo the preprocessing
I believe the problem may have been the number of CPU processes. Try using 2 and see if it works.
show me the training page
it might be batch size issue
I'm just going with whatever the guide says
sorry if that was bleach to your eyes lol
untick 'save a small final model to the weights' folder
k
actually keep that ticked
cuz if you wanna test a previous model
you can do that
you can generate that from D and G anyways
nah it's fine if there's enough storage space
- every .pth is like 50 mb so not bas
It can kill the nand on the SSD tho
Constantly writing and overwriting a gigabyte of data...
I'd agree that it'd kill the SSD
D and G is like 1gb combined
yea exactly
🤔
2 of what sir
batch size?
500 epochs/5 = 100 pth files
each is ~55 mb, then total 5500 mb 
CPU processes, as i mentioned earlier
exactly
that's why they should set save frequency to 10 or 25
i have 32 cores and i uses 22, works fine
can give errors tho
probs im lucky
10 is still fine in order to test and find the best model snapshot 
yeah exactl
then store the RVC and training files in HDD despite being slow 
og my god
the name
has a space
and that was the problem
😭
Remove the space from the experiment name and the dataset folder
It should work
bruh
I got so caught up with programming in Python that I forgot having a space in the name is an issue 
Ayo? @stark zealot level 2 !!! 
sadge
issue resolved, thank you all for the help and suggestions.
That's the FL Studio logo
ik
Carrot 👍



