task:
  benchmark_suite: sbibm
  name: two_moons
  num_posterior_samples: 10000
training:
  initial_learning_rate: 5e-3
  optimizer: adamw
  mode: offline
  num_simulations: 100000
  epochs: 600
  batch_size: 1024
architecture:
  summary_network:
  inference_network:
    type: "bayesflow.networks>DiffusionModel"
    kwargs:
      subnet_kwargs:
        widths: [256, 256, 256, 256, 256, 256, 256, 256]