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update how to retrieve learning rate

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rasbt
2024-05-23 17:19:01 -05:00
parent 30ba6a3f4b
commit aa084656e0
2 changed files with 6 additions and 6 deletions
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4
ch05/05_bonus_hparam_tuning/hparam_search.py
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@@ -65,13 +65,13 @@ def train_model(model, train_loader, val_loader, optimizer, device,
initial_lr=3e-05, min_lr=1e-6):
global_step = 0
max_lr = optimizer.param_groups[0]["lr"]
max_lr = optimizer.defaults["lr"]
# Calculate total number of iterations
total_training_iters = len(train_loader) * n_epochs
# Calculate the learning rate increment at each step during warmup
lr_increment = (optimizer.param_groups[0]["lr"] - initial_lr) / warmup_iters
lr_increment = (optimizer.defaults["lr"] - initial_lr) / warmup_iters
for epoch in range(n_epochs):
model.train()