seed: 0
data:
  directory: data
  filename: Burgers.mat
  train_samples: 600
  validation_samples: 200
  test_samples: 200
  space_stride: 32
  time_stride: 10
model:
  grid_size: 33
  features: [64, 128, 128, 256]
  latent_channels: 4
  fourier_features: 32
  velocity_widths: [64, 64, 64]
  padding_size: 2
  alpha: 1.0e-5
  sobolev_reg: 1.0e-8
  bc_reg: 10.0
  step_size: 0.1
training:
  epochs: 5000
  batch_size: 32
  learning_rate: 0.001
  weight_decay: 0.0
  scheduler_frequency: 250
  scheduler_gamma: 0.9
  validation_frequency: 1000
  checkpoint_frequency: 100
  jit_flow: true
  device: cuda
  num_threads: 8
paths:
  results: results
  checkpoint: weight/best_model.pth
  last_checkpoint: weight/last_model.pth
inference:
  batch_size: 32
  device: cuda
visualization:
  sample_indices: [0, 80, 160]
  dpi: 200