edge_features:
  use_bidirectional_edges: true
features:
  lexical_feature_dim: 100000
inference:
  checkpoint_dir: experiments
  experiment_name: null
loss:
  label_smoothing: 0.0
  use_pos_weight: true
model:
  dropout: 0.1
  hidden_dim: 64
  num_classes: 1
  num_heads: 4
  num_layers: 4
  share_weights: false
  type: gatv2
training:
  accumulate_grad_batches: 1
  annotations_dir: annotations_new
  batch_size: 128
  deterministic: false
  gradient_clip_algorithm: norm
  gradient_clip_val: 0.5
  learning_rate: 0.001
  log_every_n_steps: 50
  max_steps: 10000
  num_workers: 4
  optimizer:
    type: adamw
    weight_decay: 0.001
  patience: 10
  project_name: mecari
  seed: 42
  use_wandb: true
  val_check_interval: 1.0
  warmup_start_lr: 0.0
  warmup_steps: 500