Compare your experiments, consistently.
Charts
Data shows how models behave
Comparison charts show you why
Compare loss or accuracy metrics over different epochs or data slices to see why certain training jobs converge quickly. Or start to diverge over time.
Overlay multiple metrics on a single chart to identify trade-offs, ensuring balanced model performance. Gain confidence by validating consistent outcomes across diverse scenarios.
Run groups
Uncover trends with grouped comparisons
Group experiments by shared characteristics, such as datasets, hyperparameters, or model architectures, to identify patterns in performance. Compare subsets to understand which configurations yield the best results and why.
With hundreds or thousands of tracked runs, grouping simplifies analysis by focusing on meaningful clusters of experiments, reducing cognitive load and revealing actionable insights.
Side-by-side table view
Make informed decisions about your models
Become more confident in your experiment results
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