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exp_name: GSSN_ALL_Channels_2e_5
# model related
model:
name: 'GSSN'
# backbone: 'vanilla'
backbone: 'SSN_v1'
in_channels: 6
out_channels: 1
resnet: True
mid_act: "gelu"
out_act: "gelu"
optimizer: 'Adam'
weight_decay: 4e-5
beta1: 0.9
focal: False
# dataset
dataset:
name: 'GSSN_Dataset'
hdf5_file: 'Dataset1/more_general_scenes/train/ALL_SIZE_WALL/dataset.hdf5'
type: 'BC_Boundary'
rech_grad: True
test_dataset:
name: 'GSSN_Testing_Dataset'
hdf5_file: 'Dataset/standalone_test_split/test/ALL_SIZE_MORE/dataset.hdf5'
type: 'BC_Boundary'
ignore_shading: True
rech_grad: True
# training related
hyper_params:
lr: 2e-5
epochs: 100000
workers: 52
batch_size: 52
save_epoch: 10
eval_batch: 10
eval_save: False
# visualization
vis_iter: 100 # iteration for visualization
save_iter: 100
n_cols: 5
gpus:
- 0
default_folder: 'weights'
resume: False
# resume: True
weight_file: 'latest'
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