How do I log a list of values? - Weights & Biases Documentation

You can log a list of values, such as per-step losses, with wandb.Run.log(). The following examples show two common approaches: log the list as a dictionary entry, or log it as a histogram to visualize its distribution.

As a dictionary
As a histogram

import wandb

# Initialize a new run
with wandb.init(project="log-list-values", name="log-dict") as run:
    # Log losses as a dictionary
    losses = [0.1, 0.2, 0.3, 0.4, 0.5]
    run.log({"losses": losses})
    run.log({f"losses/loss-{ii}": loss for ii, loss in enumerate(losses)})

import wandb

# Initialize a new run
with wandb.init(project="log-list-values", name="log-hist") as run:
    # Log losses as a histogram
    losses = [0.1, 0.2, 0.3, 0.4, 0.5]
    run.log({"losses": wandb.Histogram(losses)})

For more information, see Log objects and media.

Logs Experiments

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