TrafficWheel/config/STAEFormer/PEMSD3.yaml

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basic:
dataset: "PEMSD3"
mode: "train"
device: "cuda:0"
model: "STAEFormer"
data:
num_nodes: 358
lag: 12
horizon: 12
val_ratio: 0.2
test_ratio: 0.2
tod: False
normalizer: std
column_wise: False
default_graph: True
add_time_in_day: True
add_day_in_week: True
steps_per_day: 288
days_per_week: 7
model:
num_nodes: 358
in_steps: 12
out_steps: 12
steps_per_day: 288
input_dim: 1
output_dim: 1
input_embedding_dim: 24
tod_embedding_dim: 24
dow_embedding_dim: 24
spatial_embedding_dim: 0
adaptive_embedding_dim: 80
feed_forward_dim: 256
num_heads: 4
num_layers: 3
dropout: 0.1
use_mixed_proj: true
train:
loss_func: mae
seed: 10
batch_size: 64
epochs: 300
lr_init: 0.003
weight_decay: 0
lr_decay: False
lr_decay_rate: 0.3
lr_decay_step: "5,20,40,70"
early_stop: True
early_stop_patience: 15
grad_norm: False
max_grad_norm: 5
real_value: True
test:
mae_thresh: null
mape_thresh: 0.0
log:
log_step: 200
plot: False