clearml-docs/docs/webapp/webapp_exp_table.md

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The Experiments Table

The experiments table is a customizable list of experiments associated with a project. From the experiments table, view experiment details, and work with experiments (reset, clone, enqueue, create tracking leaderboards to monitor experimentation, and more). The experiments table's auto-refresh allows users to continually monitor experiment progress.

:::info To assist in focusing on active experimentation, experiments and models can be archived, so they will not appear in the active experiments and models tables. See Archiving. :::

Experiments Table Columns

The experiments table default and customizable columns are described in the following table.

Column	Description	Type
TYPE	Type of experiment. ClearML supports multiple task types for experimentation, and a variety of workflows and use cases.	Default
NAME	Experiment name.	Default
TAGS	Descriptive, user-defined, color-coded tags assigned to experiments. Use tags to classify experiments, and filter the list. See tagging experiments.	Default
STATUS	Experiment state (status). See a list of the task states and state transtions.	Default
PROJECT	Name of experiment's project.	Default
USER	User who created or cloned the experiment.	Default (hidden)
STARTED	Elapsed time since the experiment started. To view the date and time of start, hover over the elapsed time.	Default
UPDATED	Elapsed time since the last update to the experiment. To view the date and time of update, hover over the elapsed time.	Default
ITERATION	Last or most recent iteration of the experiment.	Default
DESCRIPTION	A description of the experiment. For cloned experiments, the description indicates it was auto generated with a timestamp.	Default (hidden)
RUN TIME	The current / total running time of the experiment.	Default (hidden)
Metrics	Add metrics column (last, minimum, and / or maximum values). The metrics depend upon the experiments in the table. See adding metrics.	Customizable
Hyperparameters	Add hyperparameters. The hyperparameters depend upon the experiments in the table. See adding hyperparameters.	Customizable

Customizing the Experiments Table

The experiments table can be customized by:

• Showing / hiding default columns
• Adding metrics and hyperparameters
• Sorting
• Filtering

Use experiments table customization for various use cases, including:

• Creating a leaderboard that will update in real time with experiment performance, which can be shared and stored.
• Sorting models by metrics - Models are associated with the experiments that created them. For each metric, use the last value, the minimal value, and / or the maximal value.
• Tracking hyperparameters - Track hyperparameters by adding them as columns, and applying filters and sorting.

Changes are persistent (cached in the browser), and represented in the URL so customized settings can be saved in a browser bookmark and shared with other ClearML users to collaborate.

:::note The following experiments-table customizations are saved on a per project basis:

• Columns order
• Column width
• Active sort order
• Active filters
• Custom columns

If a project has subprojects, the experiments can be viewed by their subproject groupings or together with all the experiments in the project. The customizations of these two views are saved separately. :::

Adding Metrics and / or Hyperparameters

Add metrics and / or hyperparameters columns to the experiments table. The metrics and hyperparameters depend upon the experiments in the table.

To Add Metrics:

• Click > + METRICS > Expand a metric > Select the LAST (value), MIN (minimal value), and / or MAX (maximal value) checkboxes.

To Add Hyperparameters:

• Click > + HYPER PARAMETERS > Expand a section > Select the hyperparameter checkboxes.

Filtering Experiments

Filters can be applied by clicking on a column, and the relevant filter appears.

There are a few types of filters:

• Value set - Choose which values to include from a list of all values in the column
• Numerical ranges - Insert minimum and / or maximum value
• Date ranges - Insert starting and / or ending date and time
• Tags - Choose which tags to include from a list of all tags used in the column. Additionally, tags can be filtered using the ANY or ALL options, which correspond to the logical "AND" and "OR" respectively. These options appear on the top of the tag list.

Once a filter is applied to a column, its filter icon will appear with a highlighted dot on its top right ( ).

Using Other Customization Features

To use other customization features:

• Show / hide columns - Click > select or clear the checkboxes of columns to show or hide.
• Sort columns - According to metrics and hyperparameters, type of experiment, experiment name, start and last update elapsed time, and last iteration.
• Dynamic column ordering - Drag a column title to a different position.
• Column resizing - In the column heading, drag to a new size.
• Column autofit - In the column heading, double click a column separator.

Experiment Actions

The following table describes the actions that can be done from the experiments table, including the states that allow each operation.

Action	Description	States Valid for the Action	State Transition
View details	View experiment details in the experiments table, the info panel (keep the experiments table in view), or the full screen details view.	Any state	None
Manage a queue	If an experiment is Pending in a queue, view the utilization of that queue, manage that queue (remove experiments and change the order of experiments), and view information about the worker(s) listening to the queue. See the Workers and Queues page.	Enqueued	None
View a worker	If an experiment is Running, view resource utilization, worker details, and queues to which a worker is listening.	Running	None
Share	For ClearML Hosted Service users only, share an experiment and its model with a ClearML Hosted Service user in another workspace.	Any state	None
Archive	To more easily work with active experiments, move an experiment to the archive. See Archiving.	Any state	None
Enqueue	Add an experiment to a queue for a worker or workers (listening to the queue) to execute.	Draft	Pending
Dequeue	Remove an experiment from a queue.	Pending	Draft
Reset	Delete the log and output from a previous run of an experiment (for example, before rerunning it).	Completed, Aborted, or Failed	Draft
Abort	Manually terminate a Running experiment.	Running	Aborted
Publish	Publish an experiment to prevent changes to its tracking data, inputs, and outputs. Published experiments and their models are read-only. Published experiments cannot be enqueued, but they can be cloned, and their clones can be edited, tuned, and enqueued.	Completed, Aborted, or Failed.	Published
Tags	Tag experiments with color-coded labels to assist you in organizing your work. See tagging experiments.	Any state	None
Clone	Make an exact, editable copy of an experiment (for example, to reproduce an experiment, but keep the original).	Draft	Newly Cloned Experiment is Draft
Move	Move an experiment to another project.	Any state	None

These actions can be accessed with the context menu (when right-clicking an experiment or clicking the menu button in an experiment's info panel).

Most of the actions mentioned in the chart above can be performed on multiple experiments at once. Select multiple experiments, then use either the context menu, or the bar that appears at the bottom of the page, to perform operations on the selected experiments. Actions can be performed only on the experiments that match the action criteria (for example, only Running experiments can be aborted). The context menu shows the number of experiments that can be affected by each action. The same information can be found in the bottom menu, in a tooltip that appears when hovering over an action icon.

Creating an Experiment Leaderboard

Filter & sort the experiments of any project to create a leaderboard that can be shared and stored. This leaderboard updates in real time with experiment performance and outputs.

Modify the experiment table in the following ways to create a customized leaderboard:

• Add experiment configuration (hyperparameters)
• Edit and add experiments properties
• Add reported metrics, any time series reported metric can be selected, then select the last reported value, or the minimum / maximum reported value.
• Filter based on user (dropdown and select) or experiment types
• Add specific tags and filter based on them.

Now the table can be sorted based on any of the columns (probably one of the performance metrics). Select to filter experiments based on their name by using the search bar.

The final dashboard can be shared by copying the URL from the address bar, this address will replicate the exact same dashboard on any browser. The dashboard can also be bookmarked for later use.