ggml_schedule_reduce_on_plateau: Reduce on plateau LR scheduler

In ggmlR: 'GGML' Tensor Operations for Machine Learning

Reduce on plateau LR scheduler

Description

Reduces LR when a metric stops improving.

Usage

ggml_schedule_reduce_on_plateau(
  monitor = "val_loss",
  factor = 0.5,
  patience = 5,
  min_lr = 1e-07,
  min_delta = 1e-04,
  mode = "auto"
)

Arguments

monitor	Metric to monitor: "val_loss", "train_loss", etc.
factor	Factor to reduce LR by
patience	Epochs with no improvement before reducing
min_lr	Minimum LR
min_delta	Minimum change to qualify as improvement
mode	"min" or "max". "auto" infers from monitor name.

Value

List with on_epoch_end function

See Also

Other callbacks: ggml_callback_early_stopping(), ggml_schedule_cosine_decay(), ggml_schedule_step_decay()

ggmlR documentation built on July 14, 2026, 1:08 a.m.