Learning Rate Scheduler Visualizer

Visualize and compare neural network learning rate schedules

Scheduler Configuration
Quick Presets:
Schedule Visualization
Max LR
0
Min LR
0
Avg LR
0
PyTorch Code Generation
import torch.optim as optim
from torch.optim.lr_scheduler import CosineAnnealingLR

optimizer = optim.SGD(model.parameters(), lr=0.001)
scheduler = CosineAnnealingLR(optimizer, T_max=100, eta_min=0.00001)

for epoch in range(100):
    # training loop
    scheduler.step()

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