meent-sample-data / fno /.hydra /config.yaml
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experiment: tfno-h1
device: cuda:1
seed: 42
model: CarstenNO
model_config:
n_modes:
- 24
- 24
in_channels: 1
out_channels: 2
hidden_channels: 32
lifting_channels: 32
projection_channels: 32
rank: 0.5
norm: batch_norm
n_layers: 10
domain_padding: 0.015625
domain_padding_mode: symmetric
factorization: tucker
implementation: factorized
n_epochs: 101
loss: h1
loss_config:
reductions: mean
eval_losses:
- l2
- h1
- grating_l2
- substrate_l2
- superstrate_l2
optim: AdamW
optim_config:
lr: 0.001
weight_decay: 1.0e-06
save_interval: 50
log_test_interval: 5
scheduler: OneCycleLR
scheduler_config:
max_lr: 0.01
total_steps: ${n_epochs}
base_momentum: 0.85
max_momentum: 0.95
data: 1000-50-4