DCRNN/data/model/pretrained/PEMS-BAY/config.yaml

43 lines
828 B
YAML

base_dir: data/model
data:
batch_size: 64
dataset_dir: data/PEMS-BAY
graph_pkl_filename: data/sensor_graph/adj_mx_bay.pkl
test_batch_size: 64
val_batch_size: 64
log_level: INFO
model:
cl_decay_steps: 2000
filter_type: dual_random_walk
horizon: 12
input_dim: 2
l1_decay: 0
max_diffusion_step: 2
num_nodes: 325
num_rnn_layers: 2
output_dim: 1
rnn_units: 64
seq_len: 12
use_curriculum_learning: true
train:
base_lr: 0.01
dropout: 0
epoch: 53
epochs: 100
epsilon: 0.001
global_step: 30780
log_dir: data/model/pretrained/PEMS-BAY/
lr_decay_ratio: 0.1
max_grad_norm: 5
max_to_keep: 100
min_learning_rate: 2.0e-06
model_filename: data/model/pretrained/PEMS-BAY/models-1.6139-30780
optimizer: adam
patience: 50
steps:
- 20
- 30
- 40
- 50
test_every_n_epochs: 10