As a data scientist experimenting with large models, you need a way to runexperiments on a scalable training service to log parameters and metrics.This enables reproducibility.

With Vertex AI training and experiments autologging integration,you can run your ML experiments at scale and autolog their parameters andmetrics by using theenable_autolog argument.

Notebook: Vertex AI Experiments: Custom training autologging - Local script

This tutorial uses the following Google Cloud ML services and resources:

• Vertex AI Experiments
• Vertex AI training

The steps performed include:

1. Formalize model experiment in a script.
2. Run model training using local script on Vertex AI training.
3. Check out ML experiment parameters and metrics inVertex AI Experiments.

Relevant content

• Run training job with experiment tracking