basic:
  dataset: "BeijingAirQuality"
  mode : "train"
  device : "cuda:1"
  model: "REPST"
  seed: 2023

data:
  add_day_in_week: false
  add_time_in_day: false
  column_wise: false
  days_per_week: 7
  default_graph: true
  horizon: 24
  lag: 24
  normalizer: std
  num_nodes: 7
  steps_per_day: 288
  test_ratio: 0.2
  tod: false
  val_ratio: 0.2
  sample: 1
  input_dim: 3
  batch_size: 16

model:
  pred_len: 24
  seq_len: 24
  patch_len: 6 
  stride: 7
  dropout: 0.2
  gpt_layers: 9
  d_ff: 128
  gpt_path: ./GPT-2
  d_model: 64
  n_heads: 1
  input_dim: 3
  output_dim: 3
  word_num: 1000

train:
  batch_size: 16
  early_stop: true
  early_stop_patience: 15
  epochs: 100
  grad_norm: false
  loss_func: mae
  lr_decay: true
  lr_decay_rate: 0.3
  lr_decay_step: "5,20,40,70"
  lr_init: 0.003
  max_grad_norm: 5
  real_value: true
  weight_decay: 0
  debug: false
  output_dim: 3
  log_step: 1000
  plot: false
  mae_thresh: None
  mape_thresh: 0.001