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research-experiment

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# Research Experiment Skill Summary

This skill defines a workflow for conducting comprehensive research experiments in machine learning projects. Here's the concise breakdown:

## Core Purpose
Execute full training runs, ablation studies, and iterative supplementary experiments with systematic analysis at each stage.

## Key Workflow Steps

1. **Full Training**: Run the model with production epoch counts from the research plan, recording all metrics and loss values.

2. **Result Analysis**: Evaluate convergence, overfitting patterns, and training stability from the output logs.

3. **Ablation Studies**: Conduct 2-3 component removal experiments (2 epochs each) to measure individual contribution.