You can always click on the name of the series and remove it for display.
Why would you need three graphs?

its like main title will be loss

Oh I got it.

You can do:
task = Task.get_task(task_id='uuid_of_experiment')
task.get_logger().report_scalar(...)

Now the only question is who will create the initial Task, so that the others can report to it. Do you have like a "master" process ?

then if there are 10 experiments then I have to call Task.create() for those 10 experiments

then if there are 100 experiments how it will create 100 tasks?

now after 1st iteration is completed then after 5 minutes my script runs automatically and then again it logs into trains server

Before this line, call Task.init

yes

And you want all of them to log into the same experiment ? or do you want an experiment per 60sec (i.e. like the scheduler)

Like here in the sidebar I am getting three different plots named as loss, train_loss and test_loss

then my combined function create a sub task using Task.create(task_name=exp_name)

and then log using logger

Can my request be made as new feature so that we can tag same type of graphs under one main tag

and under that there will be three graphs with title as train test and loss

I will share my script u can see it what I am doing

This code gives me the graph that I displayed above

Just call the Task.init before you create the subprocess, that's it 🙂 they will all automatically log to the same Task. You can also call the Task.init again from within the subprocess task, it will not create a new experiment but use the main process experiment.

I have 100 experiments and I have to log them and update those experiments every 5 minutes

and it should log it into the same task and same project

What do you mean by "tag" / "sub-tags"?

so, like if validation loss appears then there will be three sub-tags under one main tag loss

but what is happening is it is creating new task under same project with same task name

This code will give you one graph titled "loss" with two series: (1) trains (2) loss

okay, Thanks @<1523701205467926528:profile|AgitatedDove14> for the help.

i mean all 100 experiments in one project

I didn't got it.

See on line 212 I am calling one function "combined" with some arguments