dataset: bbbp
task_type: classification
num_tasks: 1
metric: roc_auc
higher_is_better: true

training:
  batch_size: 32
  epochs: 50
  lr: 0.001
  weight_decay: 0.0001
  patience: 15
  grad_clip: 1.0
  lr_scheduler: reduce_on_plateau
  lr_patience: 5
  lr_factor: 0.5
  seeds: [42, 123, 999]

model:
  hidden_dim: 64
  num_layers: 3
  dropout: 0.2
  residual: true