Try it on VESSL Hub
Try out the Quickstart example with a single click on VESSL Hub.
See the final code
See the completed YAML file and final code for this example.
What you will do
- Use
vessl.log()
to log model’s key metrics to VESSL during training - Define a YAML for batch experiments
- Use Run Dashboard to track, visualize, and review experiments
Using our Python SDK
You can log metrics like accuracy and loss during each epoch withvessl.log()
.
For example, the main.py example below calculates the accuracy
and loss
at each epoch
which we receive as environment variables and logs them to VESSL.

vessl.log()
with our YAML to (1) launch multiple jobs with different hyperparameters, (2) track the results in realtime, and (3) set up a shared experiment dashboard for your team.
Using the YAML
Here, we have a simplelog_epoch-10_lr-0.01.yaml
file that runs the main.py
file above on a CPU instance. Refer to our get started guide to learn how you can launch a training job.
