Training Dynamics
Explore how different optimizers evolve across training epochs
Metric Selection
Visible Optimizers
Scale Options
Log scale makes differences more visible when values are close
Insights
Falcon achieves lower training loss faster by adaptively filtering high-frequency gradient noise.
Training Loss
Energy Distribution
Most gradient energy concentrates in low frequencies
Rank-1 Focus
Principal direction captures essential update information
Adaptive Schedule
Dynamic masking balances noise reduction and signal preservation
"Training unfolds as a symphony—frequencies harmonize,
structure emerges, and convergence sings its final note."