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App version: 3.4.15

Create a detached run

To create a run that's not part of an experiment lineage, use the Run constructor and omit the experiment_name parameter:

from neptune_scale import Run


if __name__ == "__main__":
    run = Run()

The line if __name__ == "__main__": ensures safe importing of the main module. For details, see the Python documentation.

tip

To take advantage of forking and analysis of full run history, create an experiment run rather than a detached run.

Then, to track metadata, call a logging method on the Run object:

for step in epoch:
    # your training loop
    acc = ...
    loss = ...

    run.log_metrics(
        data={"metrics/accuracy": acc, "metrics/loss": loss},
        step=1,
    )

Set custom run ID​

To override the auto-generated run identifier with a custom one, pass a string to the run_id argument:

run = Run(run_id="astute-kittiwake-23")

The custom run ID provided to the run_id argument must be unique within the project. It can't contain the / character.

View runs in the app​

In the All runs tab, by default, Neptune displays the latest run of each experiment.

To show all runs, switch from Experiments to Runs:

All runs tab in the Neptune app with a highlighted button for switching between all runs and experiment runs.

You can save your table configuration as a custom view, which makes it easier to work on the runs later.

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