Is output_uri defined for both steps? Just making sure.

How is the model saved in the code?

Not on the NAS storage but on my PC where the training is running

I mean code wise. Also where is it saved locally?

Just locally but it is saved fine

And how is the model being saved?

and I'm plotting the losses like this

This is how I am defining the task in the code

I haven't pointed it to the file server because I'm running a locally deployed docker instance of ClearML

What if you point it to the fileserver? Does it still not upload the model?

Do I have to run a task individually completely for it to function properly in a pipeline?

It was getting logged when I was running it as an individual task but it is not getting logged in the pipeline. I was plotting loss graphs too but now they're not getting plotted.

How is the model being saved/logged into clearml?

I got this message when the training started and it is only saving the model locally

The model is only getting saved locally

My models are not getting saved in the .pipeline folder. They are not getting saved in the output_uri specified in the Task.init as well.

I have used a output_uri argument in my Task initialization for storing my models

Hi PerfectMole86 ,

How are you saving your models? How are they being saved, under .pipeline folder as well?