关于
The Training Curve Interpreter is designed for data scientists and ML engineers to automate the tedious process of log analysis. By parsing data from CSVs, TensorBoard, or W&B, it generates comprehensive 2x2 grid visualizations and applies heuristic patterns to identify critical training states such as overfitting, loss plateaus, and gradient divergence. It provides a detailed statistical summary and comparative analysis between different experiments, offering actionable recommendations to improve model convergence and performance.
