sadar / configs /lstm.yaml
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seed: 42
data:
processed_dir: ${oc.env:SADAR_PROCESSED_DIR,data/processed}
model:
hidden_size: 64
latent_size: 16
num_layers: 1
dropout: 0.1
training:
epochs: 50
batch_size: 256
learning_rate: 0.001
weight_decay: 0.0001
patience: 7
lr_factor: 0.5
lr_patience: 3
device: auto
output:
dir: ${oc.env:SADAR_MODELS_DIR,models}
checkpoint: lstm_autoencoder.pt