TrafficWheel/config/REPST/NYCBike-inflow.yaml

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basic:
dataset: NYCBike-InFlow
device: cuda:0
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
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: 100
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