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Running
model: ACL | |
common: | |
train_data: vggss | |
epoch: 20 | |
batch_size: 8 | |
input_resolution: 352 | |
num_workers: 4 | |
seed: 0 | |
loss: | |
- acl_i | |
- acl_f | |
- area_reg | |
loss_w: | |
- 1 | |
- 1 | |
- 1 | |
optimizer: Adam | |
scheduler: null | |
amp: True | |
optim_conf: | |
Adam: | |
module_path: torch.optim | |
module_name: Adam | |
lr: 0.0001 | |
weight_decay: 0.0001 | |
AdamW: | |
module_path: torch.optim | |
module_name: AdamW | |
lr: 0.001 | |
SGDR: | |
module_path: torch.optim | |
module_name: SGD | |
lr: 0.5 | |
weight_decay: 0.00001 | |
sched_conf: | |
Cosine: | |
module_path: torch.optim.lr_scheduler | |
module_name: CosineAnnealingLR | |
eta_ratio: 0.0 |