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A four-state training-runs card: loss against optimiser step for several concurrent experiments, each drawn as a debiased EMA over its own faint raw trace, with divergence and restart markers that shade and count the steps a rollback cost, an optional learning-rate schedule on a secondary axis, and a scan that reads every run at the same step and only calls a lead when it clears the step-to-step noise.
This item has no files to display
This item only defines dependencies and configuration. Check the Configuration panel on the right for more details.
A four-state training-runs card: loss against optimiser step for several concurrent experiments, each drawn as a debiased EMA over its own faint raw trace, with divergence and restart markers that shade and count the steps a rollback cost, an optional learning-rate schedule on a secondary axis, and a scan that reads every run at the same step and only calls a lead when it clears the step-to-step noise.