LiNO / config /config.yaml
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seed: 42
data:
directory: data/data
filename: burgers_data_R10.mat
input_key: a
target_key: u
expected_shape: [2048, 8192]
resolution: 256
n_train: 1600
n_val: 448
interpolation: linear
normalization_eps: 1.0e-5
model:
in_channels: 2
out_channels: 1
width: 128
depth: 8
scattering: efficient
rate_range: 0.25
eps: 1.0e-6
training:
epochs: 500
batch_size: 4
learning_rate: 0.001
weight_decay: 1.0e-5
betas: [0.9, 0.999]
optimizer_eps: 1.0e-8
scheduler_step: 5
scheduler_gamma: 0.96
grad_clip: 1.0
num_workers: 0
log_interval: 50
device: cuda
checkpoint: weight/best_model.pth
last_checkpoint: weight/last_model.pth
inference:
batch_size: 4
device: cuda
results:
directory: results