SWEEPS

Scalable, customizable ‍hyperparameter search and optimization

Transparent

We cite all the algorithms that we’re using, and show all the logs of sweep progress. You have complete visibility.

Lightweight

It’s easy to get started. We’ve dealt with edge cases, so you don’t have to worry about concurrent runs and crashing runs.

Powerful

Our sweeps are infinitely customizable. You can pick your own distribution for inputs, specify logic, and use early stopping.

Parameter importance

Visualize which hyperparameters affect the metrics you care about. Weights & Biases comes with default visualizations that make it easy to get started without writing custom code to compare machine learning experiments.

Bayesian optimization

Use our transparent implementations of popular algorithms, or customize your own logic for sweeps.

Early stopping

We implemented the Hyperband algorithm to save GPU hours with customizable early stopping. This feature keeps the most promising, best performing runs running and kills off the bottom runs. Agents are then freed up to try new hyperparameter combinations.

Massive scale

Our sweeps can handle massive scale, and we support early stopping so you can quickly optimize over thousands of hyperparameter combinations without wasting GPU hours.

Collaborate centrally

Visualize all your hyperparameter sweeps in one unified place with our dashboard.

The Weights & Biases platform helps you streamline your workflow from end to end

Models

Experiments

Track and visualize your ML experiments

Sweeps

Optimize your hyperparameters

Model Registry

Register and manage your ML models

Automations

Trigger workflows automatically

Launch

Package and run your ML workflow jobs

Weave

Traces

Explore and
debug LLMs

Evaluations

Rigorous evaluations of GenAI applications

Core

Artifacts

Version and manage your ML pipelines

Tables

Visualize and explore your ML data

Reports

Document and share your ML insights