* [Execution details](#execution) - Code, the base Docker image used for [ClearML Agent](../clearml_agent.md), output destination for artifacts, and the logging level.
* [Configuration](#configuration) - Hyperparameters, user properties, and configuration objects.
* [Artifacts](#artifacts) - Input model, output model, model snapshot locations, other artifacts.
* [General information](#general-information) - Information about the experiment, for example: the experiment start, create, and last update times and dates, user creating the experiment, and its description.
Both modes contain all experiment details. When either view is open, switch to the other mode by clicking <imgsrc="/docs/latest/icons/ico-info-min.svg"alt="Table/Full screen view"className="icon size-md space-sm"/>
(**View in experiments table / full screen**), or clicking <imgsrc="/docs/latest/icons/ico-bars-menu.svg"alt="Bars menu"className="icon size-sm space-sm"/> (**menu**) > **View in experiments
The Container section list the following information:
* Image - a pre-configured Docker that ClearML Agent will use to remotely execute this experiment (see [Building Docker containers](../clearml_agent.md#exporting-a-task-into-a-standalone-docker-container))
* Arguments - add Docker arguments
* Setup shell script - a bash script to be executed inside the Docker before setting up the experiment's environment
* The output destination used for storing model checkpoints (snapshots) and artifacts (see also, [default_output_uri](../configs/clearml_conf.md#config_default_output_uri)
in the configuration file, and `output_uri` in [`Task.init`](../references/sdk/task.md#taskinit) parameters).
If the `CLEARML_LOG_ENVIRONMENT` variable was set, the **Environment** group will show environment variables (see [this FAQ](../faq.md#track-env-vars)).
These objects include those that are automatically tracked, and those connected to a Task in code (see [`Task.connect_configuration`](../references/sdk/task.md#connect_configuration)).
Artifacts location is stored in the `FILE PATH` field.
The UI provides locally stored artifacts with a 'copy to clipboard' action (<imgsrc="/docs/latest/icons/ico-clipboard.svg"alt="Clipboard"className="icon size-sm space-sm"/>)
to facilitate local storage access (since web applications are prohibited from accessing the local disk for security reasons).
The UI provides Network hosted (e.g. https://, s3:// etc. URIs) artifacts with a download action (<imgsrc="/docs/latest/icons/ico-download-json.svg"alt="Download"className="icon size-sm space-sm"/>)
including design, label enumeration, and general information, go to the **MODELS** tab, by clicking the model name, which is a hyperlink to those details.
**To retrieve a model:**
1. In the **ARTIFACTS** tab **>** **MODELS****>** **Input Model** or **Output Model**, click the model name hyperlink.
1. In the model details **>** **GENERAL** tab **>** **MODEL URL**, either:
view it in full screen mode by hovering over the graph and clicking <imgsrc="/docs/latest/icons/ico-maximize.svg"alt="Maximize plot icon"className="icon size-sm space-sm"/>.
Scalar graphs in full screen mode do not auto-refresh. Click <imgsrc="/docs/latest/icons/ico-reset.svg"alt="Refresh"className="icon lt size-md space-sm medium-zoom-image"/>
Reported single value scalars are aggregated into a table plot displaying scalar names and values (see [`Logger.report_single_value`](../references/sdk/logger.md#report_single_value)).
Use the scalar tools to improve analysis of scalar metrics. In the info panel, click <imgsrc="/docs/latest/icons/ico-settings.svg"alt="Settings gear"className="icon size-md space-sm"/> to use the tools. In the full screen details view, the tools
* Show / hide plots - Click **HIDE ALL**, and then click <imgsrc="/docs/latest/icons/ico-show.svg"alt="Eye Show All"className="icon size-md space-sm"/>
To embed scalar plots in your [Reports](webapp_reports.md), hover over a plot and click <imgsrc="/docs/latest/icons/ico-plotly-embed-code.svg"alt="Embed code"className="icon size-md space-sm"/>,
For each metric, the latest reported plot is displayed.
When viewing a plot in full screen (<imgsrc="/docs/latest/icons/ico-maximize.svg"alt="Maximize plot icon"className="icon size-sm space-sm"/>),
older iterations are available through the iteration slider (or using the up/down arrow keyboard shortcut). Go to the
previous/next plot in the current iteration using the <imgsrc="/docs/latest/icons/ico-previous.svg"alt="Previous"className="icon size-sm space-sm"/> / <imgsrc="/docs/latest/icons/ico-next.svg"alt="Next"className="icon size-sm space-sm"/>
buttons (or using the left/right arrow keyboard shortcut).
| <imgsrc="/docs/latest/icons/ico-pan.svg"alt="Pan icon"className="icon size-sm space-sm"/> | Pan around plot. Click <imgsrc="/docs/latest/icons/ico-pan.svg"alt="Pan icon"className="icon size-sm space-sm"/>, click the plot, and then drag. |
| <imgsrc="/docs/latest/icons/ico-dotted-box.svg"alt="Dotted box icon"className="icon size-sm space-sm"/> | To examine an area, draw a dotted box around it. Click <imgsrc="/docs/latest/icons/ico-dotted-box.svg"alt="Dotted box icon"className="icon size-sm space-sm"/> and then drag. |
| <imgsrc="/docs/latest/icons/ico-dotted-lasso.svg"alt="Dotted lasso icon"className="icon size-sm space-sm"/> | To examine an area, draw a dotted lasso around it. Click <imgsrc="/docs/latest/icons/ico-dotted-lasso.svg"alt="Dotted lasso icon"className="icon size-sm space-sm"/> and then drag. |
| <imgsrc="/docs/latest/icons/ico-zoom.svg"alt="Zoom icon"className="icon size-sm space-sm"/> | Zoom into a section of a plot. Zoom in - Click <imgsrc="/docs/latest/icons/ico-zoom.svg"alt="Zoom icon"className="icon size-sm space-sm"/> and drag over a section of the plot. Reset to original scale - Click <imgsrc="/docs/latest/icons/ico-reset-autoscale.svg"alt="Reset autoscale icon"className="icon size-sm space-sm"/>. |
| <imgsrc="/docs/latest/icons/ico-show-closest.svg"alt="Show closest icon"className="icon size-sm space-sm"/><br/><imgsrc="/docs/latest/icons/ico-compare-data.svg"alt="Compare data icon"className="icon size-sm space-sm"/><br/><imgsrc="/docs/latest/icons/ico-x-unified.svg"alt="X-united mode"className="icon size-sm space-sm"/>| Set data hover mode:<ul><li><imgsrc="/docs/latest/icons/ico-show-closest.svg"alt="Show closest icon"className="icon size-sm space-sm"/> Closest - Show the (X, Y) data point closest to the cursor, including horizontal and vertical axes values</li><li><imgsrc="/docs/latest/icons/ico-compare-data.svg"alt="Compare data icon"className="icon size-sm space-sm"/> X - Show labels for points with the same x value as the cursor </li><li><imgsrc="/docs/latest/icons/ico-x-unified.svg"alt="X-united mode"className="icon size-sm space-sm"/> X unified - Show a single label for the points with the same x value as the cursor</li></ul> |
| <imgsrc="/docs/latest/icons/ico-reset_1.svg"alt="Plot layout setting"className="icon size-sm space-sm"/>| Switch between original and auto-fitted plot dimensions. The original layout is the plot's user-defined dimensions. |
| <imgsrc="/docs/latest/icons/ico-download-json-plot.svg"alt="Download JSON icon"className="icon size-sm space-sm"/> | Download plot data as a JSON file. |
| <imgsrc="/docs/latest/icons/ico-maximize.svg"alt="Maximize plot icon"className="icon size-sm space-sm"/> | Expand plot to entire window. When used with scalar graphs, full screen mode displays plots with all data points, as opposed to an averaged plot |
| <imgsrc="/docs/latest/icons/ico-reset.svg"alt="Refresh"className="icon size-sm space-sm"/> | Refresh scalar graphs in full screen mode to update it. |
| <imgsrc="/docs/latest/icons/ico-plotly-embed-code.svg"alt="Embed code"className="icon size-sm space-sm"/> | Copy to clipboard the resource embed code. This opens the following options: <ul><li>**Embed in External tool** (available in the ClearML Enterprise plan and Hosted Service) - Copy code to add to external tools (e.g. Notion). </li><li>**Embed in ClearML report** - Copy code to add to a [report](webapp_reports.md)</li></ul> In contrast to static screenshots, embedded resources are retrieved when the tool/report is displayed allowing your tools/reports to show the latest up-to-date data. |
| <imgsrc="/docs/latest/icons/ico-orbital-rotation.svg"alt="Orbital rotation mode icon"className="icon size-sm space-sm"/>| Switch to orbital rotation mode - rotate the plot around its middle point. |
| <imgsrc="/docs/latest/icons/ico-turntable-rotation.svg"alt="Turntable rotation mode icon"className="icon size-sm space-sm"/>| Switch to turntable rotation mode - rotate the plot around its middle point while constraining one axis |
When viewing a sample in full screen, older iterations are available through the iteration slider (or using the up/down
arrow keyboard shortcut). Go to the previous/next sample in the current iteration using the <imgsrc="/docs/latest/icons/ico-previous.svg"alt="Previous"className="icon size-sm space-sm"/> / <imgsrc="/docs/latest/icons/ico-next.svg"alt="Next"className="icon size-sm space-sm"/>
buttons (or using the left/right arrow keyboard shortcut).
Tags are user-defined, color-coded labels that can be added to experiments (and pipelines, datasets, and models),
allowing to easily identify and group experiments. Tags can help in organizing, querying, and automating experiments.
For example, tag experiments by the machine type used to execute them, label versions, team names, or any other
category.
You can use tags to filter your experiments in your experiment table (see [Filtering Columns](webapp_exp_table.md#filtering-columns))
or when querying experiments in your code (see [Tag Filters](../clearml_sdk/task_sdk.md#tag-filters)). You can trigger
experiment execution according to their tags (see [TriggerScheduler](../references/sdk/trigger.md)) or automatically
deploy models according to their tags (see [ClearML Serving](../clearml_serving/clearml_serving_tutorial.md#automatic-model-deployment)).
**To add tags:**
1. Click the experiment **>** Hover over the tag area **>** **+ADD TAG** or <imgsrc="/docs/latest/icons/ico-bars-menu.svg"alt="Bars menu"className="icon size-sm space-sm"/> (menu)
1. Do one of the following:
* Add a new tag - Type the new tag name **>** **(Create New)**.
* Add an existing tag - Click a tag.
* Customize a tag's colors - Click **Tag Colors****>** Click the tag icon **>** **Background** or **Foreground****>** Pick a color **>** **OK****>** **CLOSE**.
**To remove a tag** - Hover over the tag and click **X**.