ml-ablation-design

What problem does it solve?

Designs end-to-end ablation studies to compare model components, loss functions, or architectural choices, enabling synthetic-data experiments, variant loops, production metrics, and clean W&B grouping.

Core Features & Use Cases

• Self-contained ablation workflow with zero external dependencies to test hypotheses quickly.
• Two-tier strategy: synthetic-first exploration and subsequent real-data validation to prevent wasted GPU hours.
• W&B integration for grouped runs and parallel variant comparisons.
• Slurm launcher pattern for scalable, reproducible experiments and easy orchestration.

Quick Start

Run the ablation workflow with toy data to validate variant scripts before scaling to real experiments.