# python train.py -c configs/HCNN_SingleK_TEB.txt


# Output settings
run_name = TEB_lines_hyperbolic_single_k
output_dir = output
data_path = TEB/
benchmark = TEB

# General settings
device = cuda:0

# Experiment settings
seed = 1
length = 1000

# General training hyperparameters
lr = 0.00001

# Model selection
num_channels = 32
embedding_dim = 528
manifold = lorentz

# Hyperbolic geometry settings
multi_k_model = False

# Dataset settings
dataset_name = lines

