TrafficWheel/config/DSANET/PEMSD8.yaml

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basic:
dataset: "PEMSD8"
mode: "train"
device: "cuda:0"
model: "DSANET"
data:
num_nodes: 170
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:
batch_size: 64
window: 12
local: 3
n_multiv: 170
n_kernels: 32
w_kernel: 1
d_model: 512
d_inner: 2048
n_layers: 6
n_head: 8
d_k: 64
d_v: 64
drop_prob: 0.1
input_dim: 1
output_dim: 1
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