#How can I measure latency in an AI model?
1 messages · Page 1 of 1 (latest)
what kind of AI model are you talking about?
and what thing are the "bell curve" and the "latency" doing with the model?
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I'm not sure which model I'll be honest... I think RVC Crepe v2
I mean, would the development of the voice model follow a bell graph or not. Like, would the quality/latency increase as the voice is overtrained or would it continue going down, but slower?
rvc v2 with crepe feature extraction?
wdym with the bell graph?
It says "RVC Crepe v2 + persistent storage / autosave"
I mean would the development of the voice model follow a bell graph or a geometric/logarithmic one
Because I've heard when overtraining a voice model, it makes it sound worse, but I'm not sure if it changes the latency
please link the reference, since I don't recall that term in the rvc development we're having with the Applio dev team and the original by rvc boss
Of course
Does this clear the air a little more?
that colab came from the Mangio RVC fork dev that has discontinued the development since 2 years ago
so it won't work anyway
Whaat D:
Gosh this is most upsetting..
Well- anyhow, are there any easy to use models you'd recommend?
still not understand what you mean the "bell graph"
the tensorboard graph isn't like so
the g/loss graph usually goes down and eventually saturate where there's no noticable improvement as you test the model checkpoints
Okay perhaps its better if I showed you
So, if my understanding's correct, the ai voice model becomes worse after overtraining, correct?
So by logic, it'd follow a graph like this, right?
But I'm not sure if I'm correct in my assessment on whether the latency worsen or not when developing the AI
Or rather, the overtraining just becomes "useless" rather than hurt the model itself
no, still not understand how the tensorboard graph could have bell shape like that
and how you'd notice overtraining point with it
refer to this @fluid cypress
So overtraining doesn't make it "worse" , but rather, just useless?
Because I think I can recall a guy some guy talking about how their model got worse after overtraining
But again, not sure
aren't you actually looking for training (finetuning) a model?
have you actually tried training instead of a mere theorycrafting with the "bell curve" crap?
I trained one like, two years ago with that google collab one..
I should've probably explained my motive, sorry if I'm being a little difficult
I'm trying to run an experiment on
Well my research question is "What is the optimal training duration for an AI voice model to minimize response latency based on a mathematical model of performance in a constant environment with similar internet speed and background activity?"
the RVC trainer should have tensorboard graph you could check while the training is in progress
I see..
And where can I find that?
Also is it simple to use?
you should consider the working RVC colab like this
Last update: August 7, 2025
I don't still quite understand your pointless babble without actual results of your trained models
Right, well, nevermind that for now, could you tell me how I can measure latency?
that's why you should try Applio colab I suggested
(no, not the "measured latency" crap, but rather like the model testing result quality)
Are there any resources that outline how I can properly use it? Maybe a tutorial?
@fluid cypress
Isn't that the program itself?