yes. As you can see this one has the hydra section reported in the config

GloriousPanda26 Are you getting multiple Tasks or is it a single Task ?

ClearML does

Thanks for doing that ! :i_love_you_hand_sign:

the import order does is not related to the problem

GloriousPanda26 wouldn't it make more sense that multi run would create multiple experiments ?

on one experiment it overlays the same metrics (not taking into account the run number)

Thanks GloriousPanda26 !

but I have no idea what's behing 1 , 2 and 3 compare to the first execution

Right, I think the naming is a by-product of Hydra / TB

And this is when I compare two tasks

it's a single taks which contains metrics for all 4 executions

but despite the naming it's working quite well actually

I meant the omegaconf

I see

So the naming is a by product of the many TB created (one per experiment), if you add different naming ot the TB files, then this is what you'll be seeing in the UI. Make sense ?

That is what I was hoping at first

I think it would make sense to have one task per run to make the comparison on hyper-parameters easier

I agree. Could you maybe open a GitHub issue on it, I want to make sure we solve this issue 🙂

I am not really familiar with TB internal mechanics. For this project we are using Pytorch Lightning

https://github.com/allegroai/clearml/issues/306

ClearML does

Below is an example with one metric reported using multirun. This is taken from a single experiment result page as all runs feed the same experiment. Unfortunately I have no idea what 1 refers to for example. Is it possible to name each run or to break them into several experiments ?

I assume it is reported into TB, right ?

yes

but I have no idea what's behing 

1

, 

2

  and 

3

 compare to the first execution

This is why I would think multiple experiments, since it will store all the arguments (and I think these arguments are somehow being lost.
wdyt?

between Hydra, PL, TB and clearml I am not quite sure who is adding the prefix for each run

It's a running number because PL is creating the same TB file for every run

but when I compare experiments the run numbers are taken into account comparing "1:loss" with "1:loss" and putting "2:loss"s in a different graph

but to go back to your question, I think it would make sense to have one task per run to make the comparison on hyper-parameters easier

issue created

the previous image was from the dashboard of one experiment