In this tutorial, you'll learn:
- Multiple ways to interact with a container from the command line
- How to automate a hyperparameter sweep with Weights & Biases (W&B) and Slurm arrays
- How to track these runs using the W&B dashboard and Slurm commands
- Authenticating Weights & Biases on Sherlock or Farmshare [link]
- Setting up your training script [link]
- Defining your sweep configuration [link]
- Writing an Sbatch script to run your sweept [link]
- Using
arrayto launch parallelwandbsweep agents [link] - Monitoring your sweep on the W&B dashboard [link]
- Retrieve the best sweep configuration [link]
Please reach out to us at matrics-bootcamp@stanford.edu or set up a General Consultation with us at this link.
Please provide anonymous feedback here.