Adam optimizer
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train.py
9
train.py
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@ -62,8 +62,9 @@ def main(opt):
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# p.requires_grad = False
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# Set optimizer
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optimizer = torch.optim.Adam(filter(lambda p: p.requires_grad, model.parameters()))
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# optimizer = torch.optim.SGD(filter(lambda p: p.requires_grad, model.parameters()), lr=1e-3, momentum=.9, weight_decay=5e-4, nesterov=True)
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# optimizer = torch.optim.Adam(filter(lambda p: p.requires_grad, model.parameters()))
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optimizer = torch.optim.SGD(filter(lambda p: p.requires_grad, model.parameters()), lr=1e-3, momentum=.9,
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weight_decay=5e-4, nesterov=True)
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start_epoch = checkpoint['epoch'] + 1
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if checkpoint['optimizer'] is not None:
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@ -84,8 +85,8 @@ def main(opt):
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model.to(device).train()
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# Set optimizer
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optimizer = torch.optim.Adam(model.parameters(), lr=1e-4, weight_decay=5e-4)
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# optimizer = torch.optim.SGD(model.parameters(), lr=1e-3, momentum=.9, weight_decay=5e-4, nesterov=True)
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# optimizer = torch.optim.Adam(model.parameters(), lr=1e-4, weight_decay=5e-4)
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optimizer = torch.optim.SGD(model.parameters(), lr=1e-3, momentum=.9, weight_decay=5e-4, nesterov=True)
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# Set scheduler
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# scheduler = torch.optim.lr_scheduler.MultiStepLR(optimizer, milestones=[54, 61], gamma=0.1)
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