basic:
  dataset: NYCBike-OutFlow
  device: cuda:1
  mode: train
  model: REPST
  seed: 2023

data:
  batch_size: 16
  column_wise: false
  days_per_week: 7
  horizon: 24
  input_dim: 1
  lag: 24
  normalizer: std
  num_nodes: 128
  steps_per_day: 48
  test_ratio: 0.2
  val_ratio: 0.2

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

train:
  batch_size: 16
  debug: false
  early_stop: true
  early_stop_patience: 15
  epochs: 100
  grad_norm: false
  log_step: 1000
  loss_func: mae
  lr_decay: true
  lr_decay_rate: 0.3
  lr_decay_step: 5,20,40,70
  lr_init: 0.003
  mae_thresh: None
  mape_thresh: 0.001
  max_grad_norm: 5
  output_dim: 1
  plot: false
  real_value: true
  weight_decay: 0