Use the run page to explore detailed information about a single version of your model.
Run name, description, and tags
Host name, operating system, python version, and command that launched the run
List of config parameters saved with wandb.config
List of summary parameters saved with wandb.log(), by default set to the last value logged
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.
Search, group, and arrange visualizations
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 wrote about using our system metrics. Read the blog post →
See the layers of your model, the number of parameters, and the output shape of each layer
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.
Save files to sync with the run using wandb.save() — we're Dropbox for AI
Keep model checkpoints, validation set examples, and more
Use the diff.patch to restore the exact version of your code