Use VESSL Python SDK to log and track runs
vessl.log()
to log model’s key metrics to VESSL during trainingvessl.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.
log_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.