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GleamingSeagull15
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2 Questions, 38 Answers
  Active since 25 May 2023
  Last activity 10 months ago

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36 × Eureka!
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Is there an official place to report bugs and add feature requests for the app.clear.ml website?
11 months ago
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51 Answers
14K Views
0 Votes 51 Answers 14K Views
10 months ago
0 I Seem To Be Missing Something ... I'Ve Only Got One Task Running To Train A Segmentation Model On My Local Machine, And In A Few Days It'S Hit Over 1.15M Api Calls. It Looks Like It'S Sending Every Single Console Output ... Are There Settings To Control

I did notice that the last 24 hours I dropped quite a bit, so my theory that the 140K might have some spillover from previous day might have been correct. Last 24 hours went from 1.24M to 1.32M, so about half as much as the day before, with the same training running.

10 months ago
0 I Seem To Be Missing Something ... I'Ve Only Got One Task Running To Train A Segmentation Model On My Local Machine, And In A Few Days It'S Hit Over 1.15M Api Calls. It Looks Like It'S Sending Every Single Console Output ... Are There Settings To Control

I guess last followup question, is there a way to cap costs? Like if this is running at this scale, I am not sure I can use ClearML for my purpose if I am just going to get overage charged repeatedly ( which I am already looking like I will be doing ).

10 months ago
0 I Seem To Be Missing Something ... I'Ve Only Got One Task Running To Train A Segmentation Model On My Local Machine, And In A Few Days It'S Hit Over 1.15M Api Calls. It Looks Like It'S Sending Every Single Console Output ... Are There Settings To Control

I am running this on a 3090 GPU locally, just been letting it run for about two weeks now I think. Just have the one GPU, ha ha. It's at epoch 368 out of the 1,000 I have it set to cap out on ( if it does not hit the default YOLO "patience" limit of 50 before then and self terminate ).

10 months ago
0 I Seem To Be Missing Something ... I'Ve Only Got One Task Running To Train A Segmentation Model On My Local Machine, And In A Few Days It'S Hit Over 1.15M Api Calls. It Looks Like It'S Sending Every Single Console Output ... Are There Settings To Control

Ya, sorry, I meant that if you needed more info on what was being run, it was in that screenshot ( showed instances/epochs/batch size, etc ) . But yes, it's since been disabled .

10 months ago
0 I Seem To Be Missing Something ... I'Ve Only Got One Task Running To Train A Segmentation Model On My Local Machine, And In A Few Days It'S Hit Over 1.15M Api Calls. It Looks Like It'S Sending Every Single Console Output ... Are There Settings To Control

It'd be great if it just posted to clearml after each epoch is completed and the CSV with the results gets updated . I only care about using the dashboard to track completed progress . I can use my local computers terminal window to monitor current epoch training . No need to send that to clearml every second ;) Results once an hour or so is fine after each completes :)

10 months ago
0 Is There An Official Place To Report Bugs And Add Feature Requests For The App.Clear.Ml Website?

Assuming GitHub, but just making sure you don't have another PM tool you'd rather use .

11 months ago
0 I Seem To Be Missing Something ... I'Ve Only Got One Task Running To Train A Segmentation Model On My Local Machine, And In A Few Days It'S Hit Over 1.15M Api Calls. It Looks Like It'S Sending Every Single Console Output ... Are There Settings To Control

Actually looking at the counts today, they've barely changed. So I think this actually fixed it, and was just that the counts are only updated daily so I needed to get 48 hours out from when I made the change to see clean results to assure no spill over counts from previous days.

10 months ago
0 I Seem To Be Missing Something ... I'Ve Only Got One Task Running To Train A Segmentation Model On My Local Machine, And In A Few Days It'S Hit Over 1.15M Api Calls. It Looks Like It'S Sending Every Single Console Output ... Are There Settings To Control

Came to ClearML since it had slick dashboard and showed me the info that mattered. Loved that I could share the results of each epoch so we could make sure things were headed in the correct direction.

10 months ago
10 months ago
0 I Seem To Be Missing Something ... I'Ve Only Got One Task Running To Train A Segmentation Model On My Local Machine, And In A Few Days It'S Hit Over 1.15M Api Calls. It Looks Like It'S Sending Every Single Console Output ... Are There Settings To Control

Glad I got that sorted. I was OK being a paying customer, but gettin overage charges for that console stuff would have been a bummer if we had not figured it out. Next month things should be back to normal 😉

10 months ago
0 I Seem To Be Missing Something ... I'Ve Only Got One Task Running To Train A Segmentation Model On My Local Machine, And In A Few Days It'S Hit Over 1.15M Api Calls. It Looks Like It'S Sending Every Single Console Output ... Are There Settings To Control

I would love to be able to fine tune this as needed, but in my profile I only see a Billings & Usage, and it states at the top that "Usage data is updated once every day" ... and even then, all the shows under "Platform Usage" is number of calls performed, not what those calls were.

10 months ago
0 Hello, I Have A Non Technical Question About This Community. Why Have You Decided To Use

Ya . I don't see any links on the FAQ site pointing back to your main . SEO wise that'd help with relevancy .

11 months ago
0 I Seem To Be Missing Something ... I'Ve Only Got One Task Running To Train A Segmentation Model On My Local Machine, And In A Few Days It'S Hit Over 1.15M Api Calls. It Looks Like It'S Sending Every Single Console Output ... Are There Settings To Control

FYI, I did not even know to look into this until I logged in and saw that I was being throttled because I had hit my monthly limit with API calls ( on my very first use of your platform ), and my last dozen or so epochs were just not even logged ( also a bummer ). I only had that one model in training, and thought there was no way I sent over a million API requests, so had to figure out where those were coming from, and tracked it down to that STDOUT, and was like ... wait, what?!?! Found th...

10 months ago
0 I Seem To Be Missing Something ... I'Ve Only Got One Task Running To Train A Segmentation Model On My Local Machine, And In A Few Days It'S Hit Over 1.15M Api Calls. It Looks Like It'S Sending Every Single Console Output ... Are There Settings To Control

Scary to think how common that might be, could be interesting way to optimize your platform, detect excessive console logging and prompt user to confirm continued usage ( or link to docs on how to disable if they want to stop it )

10 months ago
0 I Seem To Be Missing Something ... I'Ve Only Got One Task Running To Train A Segmentation Model On My Local Machine, And In A Few Days It'S Hit Over 1.15M Api Calls. It Looks Like It'S Sending Every Single Console Output ... Are There Settings To Control

Welp, it's been a day with the new settings, and stats went up 140K for API calls 😢 ... going to check again tomorrow to see if any of that was spill over from yesterday

10 months ago
0 I Seem To Be Missing Something ... I'Ve Only Got One Task Running To Train A Segmentation Model On My Local Machine, And In A Few Days It'S Hit Over 1.15M Api Calls. It Looks Like It'S Sending Every Single Console Output ... Are There Settings To Control

hmmm, this is just a personal project, honestly was just hoping this would let me take the results of each epoch and put it in a central dashboard. Having this generate 1M+ api calls and only being like 1/4 of the way though training is a bit much. Current pricing is $1/100K API calls at the PRO tear, which I am on ... so it would be like another $50 just in API calls at this pace 😞 Would love to just cap it at a fixed amount for a month for API calls.

10 months ago
0 I Seem To Be Missing Something ... I'Ve Only Got One Task Running To Train A Segmentation Model On My Local Machine, And In A Few Days It'S Hit Over 1.15M Api Calls. It Looks Like It'S Sending Every Single Console Output ... Are There Settings To Control

Maybe ClearML is using tensorboard in ways that I can fine tune? I saw there was a manual way if you were not using tensorboard to send over data, but the videos I saw from your team used this solution when demoing YOLOv8 on YouTube ( there were a few collab videos your team did with theirs, so I just followed their instructions ). But my gut is telling me that might be the issue for the remaining data being sent over that I have no insight into.

10 months ago
0 I Seem To Be Missing Something ... I'Ve Only Got One Task Running To Train A Segmentation Model On My Local Machine, And In A Few Days It'S Hit Over 1.15M Api Calls. It Looks Like It'S Sending Every Single Console Output ... Are There Settings To Control

might be a feature request then, as ya, having transparency into something we are charged for would be nice. At this point, I have zero idea what is driving this usage and just want to make sure the costs for training do not bloat too much. I personally am just using ClearML as a central dashboard for a few people. I don't need it to be live data, I just need a rough overview of progress. Even if it only posted updates to ClearML once an hour, that is honestly fine.

10 months ago
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