informer_model/configs/sweeps/informer-btcusdt-5m-gmadl.yaml
2024-09-18 17:07:06 +02:00

40 lines
859 B
YAML

program: ./scripts/train.py
project: wne-masters-thesis-testing
command:
- ${env}
- ${interpreter}
- ${program}
- "./configs/experiments/informer-btcusdt-5m-gmadl.yaml"
- "--patience"
- "15"
method: random
metric:
goal: minimize
name: val_loss
parameters:
past_window:
distribution: int_uniform
min: 20
max: 120
batch_size:
values: [64, 128, 256]
model:
parameters:
name:
value: "Informer"
d_model:
values: [256, 512, 1024]
d_fully_connected:
values: [256, 512, 1024]
n_attention_heads:
values: [1, 2, 4, 6]
dropout:
values: [0.05, 0.1, 0.2, 0.3]
n_encoder_layers:
values: [1, 2, 4, 6]
n_decoder_layers:
values: [1, 2]
learning_rate:
values: [0.001, 0.0005, 0.0001]
optimizer:
value: "Adam"