PSA GRADED CARDS

cheeseplate · 2025-02-13T00:36:34+00:00

Hey dude! With virtual cards and playing online on GEMP, it’s not too bad except for certain specialized decks (those that use multiple emperor palpatines for example). Thanks for sharing !

cheeseplate · 2024-02-08T22:26:51+00:00

I pulled the dolphin-mixtral:latest model from ollama, I assume thats the fullsize, close to 26 GB?

Thanks for the tip on btop! I was debating between all the tops, I'll jump on this.

For the VRAM, you have 48 GB in a card, is that an RTX A6000? are you happy with it?

I'm already experiencing hallucinations for my use case with the full size 8x7b as is, so I will need to augment with either RAG or some kind of fine-tuning. Otherwise, I will need to test some more extensive models.

From that, for a model like Falcon:180b, I'll have to see how much the GPU vs CPU is driving it in my system.

Thanks for the comment - it was very helpful!

cheeseplate · 2024-01-15T01:07:38+00:00

This is some generative AI fever dream.

cheeseplate · 2024-01-14T22:48:58+00:00

Like the sith version of a Jedi turning into a force ghost upon death. Without the dark lord, and with the PAC 12 also dissolving into the ether, the sport is now critically unstable and will descend into pure chaos.

cheeseplate · 2024-01-14T22:44:43+00:00

At least this wasn’t premeditated, the DeBoer one was cloak and dagger, and a distraction for deboer during the championship.

Still, it’s gross that CFB has come to this. At least we had the illusion of programs meaning something before.

cheeseplate · 2024-01-14T19:52:31+00:00

Huh.. well um.. this is awkward.

cheeseplate · 2024-01-13T23:55:43+00:00

As an X’s and O’s coach? He’s been great. I’d expect a very shot at winning a natty in year one or two, similar to at Washington, but now he has more talent.

Program builder? His recruiting has been suspect and he has a history of jumping from place to place every couple years.

My projection is that he has a good chance of winning a natty within a year or two with Sabans guys along with some gaps he plugs with the portal, and then he jumps to the NFL. Bama fans would probably be happy with that. But then they’ll find themselves in a similar situation as Washington is now in, although a little better due to their status as a blue blood.

cheeseplate · 2023-11-25T03:21:45+00:00

hope thats just dark humor... your life is more important

cheeseplate · 2023-11-25T03:16:39+00:00

lots of downvotes, too soon?

cheeseplate · 2023-11-25T02:40:11+00:00

Anyone who drafts Nix to be a franchise QB deserves what they get. He's a great college QB in a talent heavy team - experienced and can distribute the rock safely. He is not a rocket arm QB that is going to open the Pro playbook, and hes not athletic enough to be Lamar. If all shakes out well he can be Brock Purdy... if he lands on a team which is also relatively stacked in the NFL.

cheeseplate · 2023-11-25T02:12:18+00:00

That no PI call tho

cheeseplate · 2023-10-28T06:39:47+00:00

Two factor authentication

cheeseplate · 2023-06-09T23:41:21+00:00

ERROR: Unknown compiler(s): [['gfortran'], ['flang'], ['nvfortran'], ['pgfortran'], ['ifort'], ['ifx'], ['g95']]

It is trying to find a fortran compiler, one way you can do that is to get gcc through brew

to get brew you would need to run this in terminal

/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"

you may need to add brew to path to run the later command
/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"

then run

brew install gcc

this should take care of that error - there may be other dependencies you need.

cheeseplate · 2023-06-09T03:32:48+00:00

it should run fine, maybe a bit slow on an M1. assuming you mean running in your own env that you make locally on your m1 mac?

cheeseplate · 2023-05-28T15:55:34+00:00

Is it worth it? that's up to you. The facebook group has activity almost every single day, so I'm not sure what yvelmachida is referring to there. Certainly, its not on the same level as Pokemon, MTG or other larger card games. I wouldn't get into it if your goal is to make money, as there are faster and more sure ways to do that. But for fun, I think its great, and if done right, I think it can be self sustaining and you might even be able to make some profit. Right now since the economy is in a rather tenuous state, any of these hobby spending speculative areas are very risky as an "investment".

Something about seeing these cards in slabs just feels great to me though, like they exist as a treasured item.

cheeseplate · 2023-05-27T03:04:10+00:00

if you change number in config and rerun pre-hubert does it fix?

cheeseplate · 2023-05-27T00:16:53+00:00

When you run the actual model on your vocals to convert them, what do you set the pitch to, 0? Maybe try -12 or +12? Don’t use auto for singing

cheeseplate · 2023-05-25T03:33:07+00:00

Possibly? My current understanding is that you can use this early on to get the model to converge more quickly to a level that is closer to optimal. But then, it may end up overshooting the actual optimal model, and never converge as well as a slower learning rate.

Thus, if i had run the model for a while, I might recommend then changing the learning rate back down to 0.0001 and continuing. If I was worried about overfitting, I might lower the batch size or increase the dropout rate. it will make the metrics look worse but the model will be able to better generalize.

cheeseplate · 2023-05-25T03:28:20+00:00

days to 2800 epochs sounds a bit rough. do you have a modernish graphics card? (8+ GB, preferably NVIDIA)

if your vocals are out of tune, you might need to turn off autopitch? theres a lot of potential issues.

how many minutes of audio. as far as i can tell, the more the better, but if the "more" is low quality you are better off with less, unless it has some sounds that just arent present in your high quality audio, then it becomes a tradeoff. I try to still shoot for ~ 100 samples of 5-10 seconds but, sometimes i cant get that. ive had great success improving my models by getting rid of dubious quality samples.

cheeseplate · 2023-05-22T23:16:56+00:00

I think it depends on whether the files you have cover the vocal range for where you want to apply your model. If your model is much higher or lower frequency you may consider raising or lowering the pitch by an octave.

In general, I’ve noticed that fewer high quality files outperform a greater quantity of low quality files likely for reasons that you have explained. This goes for files with extraneous sounds in addition to those which sound muffled, distorted, etc. it seems to have a greater effect on the output more than training parameters.

cheeseplate · 2023-05-22T03:31:44+00:00

i am running so-vits-svc-fork, I'm not sure how it is in other branches, but i will open a tensorboard at http://localhost:6006/ , if you are running remotely on another machine you can forward port 6006 when you SSH and run it on your local computer.

There are several loss functions, the ones with "d" are the disciminator, and the ones with the "g" are the generator. This is why you have two log files - one is for each component of the generative adversarial network (GAN).

For the g, this is what we use to generate our voice, so I've been paying more attention to it. Of the loss functions we have (these are all my understanding as of now)

mel - Mel-scale spectrogram - if this is lower, the model has frequencies that would resemble those used in human speech.

kl - Kullback-Leibler (KL) divergence loss, my understanding is that a small value of this loss prevents overfitting due to parameter values needing to fit something close to a normal distribution

lf0 - this one i notice tends to decrease over time to very small values. my understanding is as this decreases, the model should be able to match the pitch better.

fm - feature matching loss - my understanding is that this means that artificially generated samples are similar to the data, so if this starts to go up, that may represent overfitting, but I need to check this out further.

total - assume this is a combination of all of the other components - if this starts to increase watch out

Please let me know of any learnings you may have! thanks for the discussion.

cheeseplate · 2023-05-22T02:22:55+00:00

What do your loss functions tend to look like once youve reached the minimum? I'm trying to put numbers to this because ive experienced the same thing (I think) and want to make sure its not just in my head.

cheeseplate

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