and I'm plotting the losses like this

Just locally but it is saved fine

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

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

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

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

How is the model saved in the code?

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.

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

Is output_uri defined for both steps? Just making sure.

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

This is how I am defining the task in the code

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

The model is only getting saved locally

Hi PerfectMole86 ,

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

And how is the model being saved?

How is the model being saved/logged into clearml?