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View information about a specific run, such as its current state, artifacts, metrics, and more.

View a logged run

You can view and monitor runs using the W&B App or the wandb beta leet terminal UI.
To view a specific run in the W&B App:
  1. Navigate to the W&B App.
  2. Navigate to the W&B project you specified when you initialized the run.
  3. Within the project sidebar, select the Workspace tab.
  4. Within the run selector, click the run you want to view, or enter a partial run name to filter for matching runs.
Alternatively, you can directly access a specific run’s workspace by entering its URL in your browser. The URL path of a specific run has the following format:
https://wandb.ai/<team-name>/<project-name>/runs/<run-id>
Replace values enclosed in angle brackets (< >) with the actual values of the team name, project name, and run ID.Explore the run’s properties by navigating through the tabs: Overview, Logs, Files, Code, and Artifacts.

Overview

Use the Overview tab to learn about specific run information in a project, such as:
  • Author: The W&B entity that creates the run.
  • Command: The command that initializes the run.
  • Description: A description of the run that you provided. This field is empty if you do not specify a description when you create the run. You can add a description to a run with the W&B App or programmatically with the Python SDK.
  • Tracked Hours: The amount of time the run is actively computing or logging data, excluding any pauses or waiting periods. This metric helps you understand the actual computational time spent on your run.
  • Runtime: Measures the total time from the start to the end of the run. It’s the wall-clock time for the run, including any time where the run is paused or waiting for resources. This metric provides the complete elapsed time for your run.
  • Git repository: The git repository associated with the run. You must enable git to view this field.
  • Host name: Where W&B computes the run. W&B displays the name of your machine if you initialize the run locally on your machine.
  • Name: The name of the run.
  • OS: Operating system that initializes the run.
  • Python executable: The command that starts the run.
  • Python version: Specifies the Python version that creates the run.
  • Run path: Identifies the unique run identifier in the form entity/project/run-ID.
  • Start time: The timestamp when you initialize the run.
  • State: The state of the run.
  • System hardware: The hardware W&B uses to compute the run.
  • Tags: A list of strings. Tags are useful for organizing related runs together or applying temporary labels like baseline or production.
  • W&B CLI version: The W&B CLI version installed on the machine that hosted the run command.
  • Git state: The most recent git commit SHA of a repository or working directory where the run is initialized. This field is empty if you do not enable Git when you create the run or if the git information is not available.
W&B stores the following information below the overview section:
  • Artifact Outputs: Artifact outputs produced by the run.
  • Config: List of config parameters saved with wandb.Run.config.
  • Summary: List of summary parameters saved with wandb.Run.log(). By default, W&B sets this value to the last value logged.
View an example project overview here.

Logs

The Log tab shows output printed on the command line such as the standard output (stdout) and standard error (stderr).
Run logs tab
Click the Download button in the upper right hand corner to download the log file. View an example logs tab here.

Files

Use the Files tab to view files associated with a specific run such as model checkpoints, validation set examples, and more
Run files tab
View an example files tab here.

Code

The Code tab displays the code files associated with a specific run. This includes the main script that was executed as well as any additional code files that were part of the run’s environment.

Artifacts

The Artifacts tab lists the input and output artifacts for the specified run.
Run artifacts tab