Colin: Add ClearML task.

When I was answering the question "are you using a local server", I misinterpreted it as "are you running the agents and queue on a local server station".

SuccessfulKoala55 I think I just realized I had a misunderstanding. I don't think we are running a local server version of ClearML, no. We have a workstation running a queue/agents, but ClearML itself is via http://app.pro.clear.ml , I don't think we have ClearML running locally. We were tracking experiments before we setup the queue and the workers and all that.

IrritableOwl63 can you confirm - we didn't setup our own server to, like, handle experiment tracking and such?

I went to https://app.pro.clear.ml/profile and looked in the bottom right. But would this tell us about the version of the server run by Dan?

In my profile page it's 1.0.2

IrritableOwl63 in the profile page, look at the bottom right corner

Do I get the server version from the https://app.pro.clear.ml UI somewhere SuccessfulKoala55 ?

And the server version? You can see it in the profile page

SuccessfulKoala55 the clearml version on the server, according to my colleague, is:
clearml-agent --version CLEARML-AGENT version 1.0.0

As in, I edit Installed Packages, delete everything there, and put that particular list of packages.

Long story, but in the other thread I couldn't install the particular version of transformers unless I removed it from "Installed Packages" and added it to setup script instead. So I took to just throwing in that list of packages.

Before I enqueued the job, I manually edited Installed Packages thus

Didn't it already have clearml in the dependencies?

I'm scrolling through the other thread to see if it's there

Server version?

That's what I meant 🙂

Local in the sense that my team member set it up, remote to me

Also, what ClearML SDK version?

Are you using a local server?

Anyhow, it seems that moving it to main() didn't help. Any ideas?

Before I enqueued the job, I manually edited Installed Packages thus:
boto3 datasets clearml tokenizers torchand added
pip install git+to the setup script.

And the docker image is
nvidia/cuda:11.2.2-cudnn8-runtime-ubuntu18.04

I did all that because I've been having this other issue: https://clearml.slack.com/archives/CTK20V944/p1624892113376500

Tried it. Updated the script (attached) to add it to the main function instead. Then ran it locally. Then aborted the job. Then "reset" the job on clearML web interface and ran it remotely on a GPU queue. as you can see in the log (attached) there is loss happening, but it's not showing up in the scalars (attached picture):

edit: where I ran it after resetting

Sure, I can give that a try!

Can you move the Task.init() call to the main() function?

not much different from the HuggingFace version, I believe

Here's the actual script I'm using

essentially running this: https://github.com/huggingface/transformers/blob/master/examples/pytorch/language-modeling/run_mlm.py

yup

This is when running remotely, right?

here's console output with loss being output

And how do you log the metrics in your code?

Yes, it trains fine. I can even look at the console output