(**View in task table / full screen**), or clicking 
to
hide details in the task table, so only the task names and statuses are displayed
### Full Screen Details View
The full screen details view allows for easier viewing and working with task tracking and results. The task
table is not visible when the full screen details view is open. Perform task actions from the menu.
## Execution
A task's **EXECUTION** tab of lists the following:
* Source code
* Uncommitted changes
* Installed Python packages
* Container details
* Output details
In full-screen mode, the source code and output details are grouped in the **DETAILS** section.
### Source Code
The Source Code section of a task's **EXECUTION** tab includes:
* The task's repository
* Commit ID
* Script path
* Working directory
* Binary (Python executable)
### Uncommitted Changes
ClearML displays the git diff of the task in the Uncommitted Changes section.
### Python Packages
The Python Packages section lists the task's installed Python packages and their versions.
When a ClearML agent executing a task ends up using a different set of Python packages than was originally
specified, both the original specification (`original pip` or `original conda`), and the packages the agent ended up
using to set up an environment (`pip` or `conda`) are available. Select which requirements to view in the dropdown menu.
### Container
The Container section list the following information:
* Image - a pre-configured container that ClearML Agent will use to remotely execute this task (see [Building Docker containers](../clearml_agent/clearml_agent_docker.md))
* Arguments - add container arguments
* Setup shell script - a bash script to be executed inside the container before setting up the task's environment
:::important
To [rerun](webapp_exp_tuning.md) a task through the UI in the listed container, the ClearML Agent executing the task must be running in
Docker mode:
```bash
clearml-agent daemon --queue 
(menu) on a
parameter's line, and the type, description, and default value appear, if they were provided.
#### Environment Variables
If environment variables were listed in the `CLEARML_LOG_ENVIRONMENT` environment variable or the [`sdk.development.log_os_environments`](../configs/clearml_conf.md#log_env_var)
field of the `clearml.conf` file, the **Environment** group displays the listed environment variables (see [this FAQ](../faq.md#track-env-vars)).
:::note
The `CLEARML_LOG_ENVIRONMENT` variable always overrides the `clearml.conf` file.
:::
#### Custom Parameter Groups
Custom parameter groups show parameter dictionaries if the parameters were connected to the Task, using
[`Task.connect()`](../references/sdk/task.md#connect) with a `name` argument provided. `General` is the default section
if a name is not provided.
#### TensorFlow Definitions
The **TF_DEFINE** parameter group shows automatic TensorFlow logging.
### User Properties
User properties allow to store any descriptive information in a key-value pair format. They are editable in any task,
except *Published* ones (read-only).
### Configuration Objects
ClearML tracks a task's model configuration objects, which appear in **Configuration Objects** **>** **General**.
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)).
ClearML supports providing a name for a Task model configuration object (see the `name`
parameter in [`Task.connect_configuration`](../references/sdk/task.md#connect_configuration)).
## Artifacts
Task artifacts, including models, appear in the **ARTIFACTS** tab.
Each non-model artifact entry displays:
* File path
* File size
* Hash
* Metadata (if set)
Artifact location is displayed in the `FILE PATH` field. To access model and other artifact files:
* **Local Files**: Use the 'copy to clipboard' action (
)
to obtain the file path to facilitate local storage access since web applications are prohibited from accessing the local disk for security reasons.
* **Remote Files** (e.g. network-hosted artifacts with `https://`, `s3://`, etc. URIs): Use the download action (
)
to retrieve the file.
### Models
The task's input and output models appear in the **ARTIFACTS** tab. Each model entry shows:
* Model name
* ID
* Configuration.
Input models also display their creating task, which on-click navigates you to the task's page.
To view more model details, including design, label enumeration, and general information, click the model name
to navigate to its page in the **MODELS** tab (see [Model Details](webapp_model_viewing.md)).
## Info
The **INFO** tab shows extended task information:
* [Latest task events log](#latest-events-log)
* [Task description](#description)
* [Task details](#task-details)
### Latest Events Log
:::important Enterprise Feature
This feature is available under the ClearML Enterprise plan.
:::
The Enterprise Server also displays a detailed history of task activity:
* Task action (e.g. status changes, project move, etc.)
* Action time
* Acting user
* Action source (i.e. ClearML Agent, SDK, or UI)
* Action source version
To download the task history as a CSV file, hover over the log and click 
.
:::note Limited persistency
ClearML maintains a system-wide, large but strict limit for task history items. Once the limit is reached, the oldest entries are purged to make room for fresh entries.
:::
### Description
Add descriptive text to the task in the **Description** section. To modify the description, hover over the
description box and click **Edit**.
### Task Details
The **Task Details** section lists information describing the task:
* The parent task
* Project name
* Creation, start, and last update dates and times
* User who created the task
* Task state (status)
* Whether the task is archived
* Runtime properties - Information about the machine running the task:
* Operating system
* CUDA driver version
* Number of CPU cores
* Number of GPUs
* CPU / GPU type
* Memory size
* Host name
* Processor
* Python version
* Task Progress
## Task Results
:::tip Embedding ClearML Visualization
You can embed task plots and debug samples into ClearML [Reports](webapp_reports.md). These visualizations are
updated live as the task(s) updates. The Enterprise Plan and Hosted Service support embedding resources in external
tools (e.g. Notion). See [Plot Controls](#plot-controls).
:::
### Console
The complete task log containing everything printed to stdout and stderr appears in the **CONSOLE** tab. The full log
is downloadable. To view the end of the log, click **Jump to end**.
### Scalars
All scalars that ClearML automatically logs, as well as those explicitly reported in code, appear in
**SCALARS**.
Scalar series can be displayed in [graph view](#graph-view) (default) or in [metric values view](#metric-values-view):
#### Graph View
Scalar graph view (
)
shows scalar series plotted as a time series line chart. By default, a single plot is shown for each scalar metric,
with all variants overlaid within.
The series are sub-sampled for
display efficiency. For high resolution, view a series in full screen mode by hovering over the graph and clicking 
.
:::info Full Screen Refresh
Scalar graphs in full screen mode do not auto-refresh. Click 
to update the graph.
:::
Single value scalars (see [`Logger.report_single_value`](../references/sdk/logger.md#report_single_value)) are shown in
a `Summary` table.
Use the scalar tools to improve analysis of scalar metrics. In the info panel, click 
to use the tools. In the full screen details view, the tools
are on the left side of the window. The tools include:
* **Group by** - Select one of the following:
* **Metric** - Displays all variants for a metric on the same plot. For example, if you have a "Test" metric with
"loss" and "accuracy" variants, both variants will appear on the same plot that is titled "Test".
* **None** - Displays individual plots for each metric-variant combination, grouped into sections by metric. For
example, a "Test" metric with "loss" and "accuracy" variants will have a separate plot for each variant under the
"Test" group.
* Horizontal axis - Select the x-axis units:
* Iterations
* Time from start - Time since task began
* Wall time - Local clock time
* Curve smoothing - Choose which smoothing algorithm to use from the dropdown menu: Exponential moving average, Gaussian,
or Running Average. Use the slider to configure the smoothing factor or specify a value manually.
* Show / hide plots - Click 
to control which
plots to display. For example, to display specific plots, click **HIDE ALL**, and then click
on each plot you want to view.
To embed scalar plots in your [Reports](webapp_reports.md), hover over a plot and click Embed 
,
which will copy to clipboard the embed code to put in your Reports. To quickly get the embed codes for all plots of a
specific metric, click Embed
on the group section header (available when plots are [grouped by](#group_by) `None`).
In contrast to static screenshots, embedded resources
are retrieved when the report is displayed allowing your reports to show the latest up-to-date data.
See additional [plot controls](#plot-controls) below.
#### Metric Values View
The metric values view (
)
shows a table summary of your metrics with a row per metric/variant:
* First - The metric/variant series' initial value
* Last - The metric/variant series' last value
* Min - The metric/variant series' minimum value
* Max - The metric/variant series' maximum value
* Mean - The metric/variant series' mean value
If all the values of a specific metric/variant are the same, the row will display a 
sign.
Choose which metrics to view using one of the following out the options:
* Use the quick filter bar (
)
to only show metrics/variants whose name fit a partial-string match
* Use the filter menu (
) to
select which metrics to view by clicking their show/hide button ().
Click **Hide/Show all**, to quickly hide/show all metrics.
### Plots
Non-time-series plots appear in **PLOTS**. These include data generated by libraries, visualization tools, and
explicitly reported using the ClearML Logger. These may include 2D and 3D plots, tables (Pandas and CSV files), and
Plotly plots. Individual plots can be shown / hidden or filtered by title.
Plots are grouped into sections by metric. To quickly get the embed codes for all plots of a specific metric, click Embed
on the group section header.
For each metric/variant combination, the latest reported plot is displayed.
When viewing a plot in full screen (),
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 
/ 
buttons (or using the left/right arrow keyboard shortcut).
#### Plot Controls
The table below lists the plot controls which may be available for any plot (in the **SCALARS** and **PLOTS** tabs).
These controls allow you to better analyze the results. Hover over a plot, and the controls appear.
|Icon|Description|
|---|---|
| 
| Download plots as PNG files. |
| 
| Pan around plot. Click , click the plot, and then drag. |
| 
| To examine an area, draw a dotted box around it. Click and then drag. |
| 
| To examine an area, draw a dotted lasso around it. Click and then drag. |
| 
| Zoom into a section of a plot. Zoom in - Click and drag over a section of the plot. Reset to original scale - Click 
. |
| 
| Zoom in. |
| 
| Zoom out. |
| | Reset to autoscale after zooming (, , or ). |
| 
| Reset axes after a zoom. |
| 
| Show / hide spike lines. |
| 
| Set data hover mode:- Closest - Show the (X, Y) data point closest to the cursor, including horizontal and vertical axes values
- X - Show labels for points with the same x value as the cursor
- X unified - Show a single label for the points with the same x value as the cursor
| Switch to logarithmic view. |
| 
| Hide / show the legend. |
| 
| Switch between original and auto-fitted plot dimensions. The original layout is the plot's user-defined dimensions. |
| 
| Download plot data as a JSON file. |
| 
| Download **table** plot data as a CSV file. |
| | 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 |
| | Refresh scalar graphs in full screen mode to update it. |
| | Copy to clipboard the resource embed code. This opens the following options: - **Embed in External tool** (available in the ClearML Enterprise plan and Hosted Service) - Copy code to add to external tools (e.g. Notion).
- **Embed in ClearML report** - Copy code to add to a [report](webapp_reports.md)
| Switch to orbital rotation mode - rotate the plot around its middle point. |
| 
| Switch to turntable rotation mode - rotate the plot around its middle point while constraining one axis |
| | Reset axes to default position. |
### Debug Samples
Task outputs such as images, audio, and videos appear in **DEBUG SAMPLES**. These include data generated by
libraries and visualization tools, and explicitly reported using the [ClearML Logger](../fundamentals/logger.md).
You can view debug samples by metric in the reported iterations. Filter the samples by metric by selecting a metric from the
dropdown menu above the samples. The most recent iteration appears first.
For each metric, the latest reported debug sample is displayed.
Click a sample to view it in full screen. If the sample is video or audio, the full screen mode includes a player.
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 /
buttons (or using the left/right arrow keyboard shortcut).
## Tagging Tasks
Tags are user-defined, color-coded labels that can be added to tasks (and pipelines, datasets, and models), allowing to easily identify and group tasks. Tags can help in organizing, querying, and automating tasks. For example, tag tasks by the machine type used to execute them, label versions, team names, or any other category. You can use tags to filter the tasks in your task table (see [Filtering Columns](webapp_exp_table.md#filtering-columns)) or when querying tasks in your code (see [Tag Filters](../clearml_sdk/task_sdk.md#tag-filters)). You can trigger task 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 task **>** Hover over the tag area **>** **+ADD TAG** or
(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**.
## Locating the Task ID
The task ID appears in the task page's header.