Training & Validation Loss
Technical Stack
@visx/shape@visx/scale@visx/tooltipd3-array
Training Loss
Validation Loss
Loss Curve Analysis
This chart shows how the model's loss decreases during training. The training loss typically decreases steadily, while the validation loss may plateau or increase if the model begins to overfit. The ideal scenario is when both curves converge to a low loss value.
Technical Implementation Details
- Built with Visx for optimized React-based visualization
- Interactive tooltip system with bisector-based point detection
- Smooth curve interpolation using monotoneX
- Responsive grid system with customizable axes
- Dynamic scaling with automatic domain adjustment