experiment-tracking

To track VLA experiment configurations for reproducibility, log a completed experiment by updating docs/EXPERIMENT_HISTORY_AND_INSIGHTS.md with a new row detailing the experiment ID, model, epochs, and key metrics.

Logging Vision-Language-Action training results systematically requires a consistent log file at docs/EXPERIMENT_HISTORY_AND_INSIGHTS.md, using a fixed table format to capture experiment IDs, configurations, and key metrics.

You can generate post-hoc analysis tables for VLA evaluation experiments by applying this standardized logging approach, which captures results and insights in a queryable history to support data-driven decision making.

You need a consistent markdown log file at docs/EXPERIMENT_HISTORY_AND_INSIGHTS.md to maintain experiment history, requiring a fixed table format for results and a clear claim-evidence structure for insights.

Change-aware analysis links artifacts to specific experiment IDs, such as EXP-17, by standardizing the logging of training, evaluation, and post-hoc analysis across multiple experiments to ensure traceability and reproducibility.