The Python details are private, even if you make the page itself public. Here is an example of my run page in incognito on the left and my account on the right.
Charts Tab
Search, group, and arrange visualizations
the search bar supports regular expressions
Click the pencil icon ✏️ on a graph to edit
change x-axis, metrics, and ranges
edit legends, titles, and colors of charts
View examples predictions from your validation set
Visualize CPU utilization, system memory, disk I/O, network traffic, GPU utilization, GPU temperature, GPU time spent accessing memory, GPU memory allocated, and GPU power usage
Lambda Labs highlighted how to use W&B system metrics in a blog post →
Output printed on the command line, the stdout and stderr from the machine training the model
We show the last 1000 lines. After the run has finished, if you'd like to download the full log file, click the download button in the upper right corner.
The W&B Artifacts system adds extra features for handling, versioning, and deduplicating large files like datasets and models. We recommend you use Artifacts for tracking inputs and outputs of runs, rather than wandb.save. Check out the Artifacts quickstart here.
Artifacts Tab
Provides a searchable list of the input and output Artifacts for this run
Click a row to see information about a particular artifact used or produced by this run