As a Data Scientist, this is a common workflow: Train a model locally (in my Notebook), log the parameters, log the training time series metrics to Vertex AI TensorBoard, and log the evaluation metrics.
You can view the experiment runs associated with an experiment on the experiments page in the Google Cloud console.
Notebook: Compare locally trained models
In the "Vertex AI: Track parameters and metrics for locally trained models" notebook, you will learn how to use Vertex AI Experiments to:
- Log the model parameters
- Log the loss and metrics on every epoch to TensorBoard
- Log the evaluation metrics
- Compare two experiment runs
- Log data to an experiment run