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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."