TrafficWheel/config/STAEFormer/PEMSD4.yaml

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basic:
dataset: PEMSD4
device: cuda:0
mode: train
model: STAEFormer
seed: 2023
data:
batch_size: 64
column_wise: false
days_per_week: 7
horizon: 12
input_dim: 1
lag: 12
normalizer: std
num_nodes: 307
steps_per_day: 288
test_ratio: 0.2
val_ratio: 0.1
model:
adaptive_embedding_dim: 80
dow_embedding_dim: 24
dropout: 0.1
feed_forward_dim: 256
in_steps: 12
input_dim: 1
input_embedding_dim: 24
num_heads: 4
num_layers: 3
num_nodes: 307
out_steps: 12
output_dim: 1
spatial_embedding_dim: 0
steps_per_day: 288
tod_embedding_dim: 24
use_mixed_proj: true
train:
batch_size: 64
debug: false
early_stop: true
early_stop_patience: 30
epochs: 200
grad_norm: false
log_step: 2000
loss_func: Huber
lr_decay: true
lr_decay_rate: 0.1
lr_decay_step: 5,20,40,70
lr_init: 0.001
mae_thresh:
mape_thresh: 0.0
output_dim: 1
plot: false
real_value: true
seed: 10
weight_decay: 0.0003