SC
Dr. Sarah Chen
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SC
Hey Alex! I saw your question about neural network optimization. Happy to help!
Thank you so much! I'm struggling with the learning rate decay strategy. My model keeps overshooting the optimal point.
SC
Classic issue! Have you tried implementing a cosine annealing schedule? It works really well for this.
Not yet! Could you share an example?
SC
Absolutely! Here's a quick implementation:
PYTHON
import torch.optim as optim
from torch.optim.lr_scheduler import CosineAnnealingLR
optimizer = optim.Adam(model.parameters(), lr=0.001)
scheduler = CosineAnnealingLR(optimizer, T_max=50, eta_min=1e-6)
# In your training loop:
for epoch in range(num_epochs):
train(...)
scheduler.step()This is perfect! The T_max parameter - is that the total number of epochs?
SC
Exactly! T_max is the number of iterations for the cosine cycle. You can set it to your total epochs, or make it shorter for multiple cycles.