============ Initialized logger ============
add_traspose_rels: True
aggregate: pna
aug: False
batch_size: 12
constrained_neg_prob: 0.0
dataset: fb237_v3
dropout: 0.1
early_stop: 50
emb_dim: 32
enclosing_sub_graph: False
exp_dir: GNN/experiments/fb237_v3_ln_False_32_0.1_6_gru_lstm
experiment_name: fb237_v3_ln_False_32_0.1_6_gru_lstm
gpu: 5
hop: 3
l2: 0.0001
load_model: False
loss: bce
lr: 0.0005
main_dir: GNN
margin: 10
max_links: 1000000
message: gru
num_epochs: 5
num_gcn_layers: 6
num_neg_samples_per_link: 1
num_workers: 8
optimizer: Adam
train_file: train
un_hop: 1
update: lstm
using_jk: False
valid_file: valid
============================================
No existing model found. Initializing new model..
Device: cuda
Input dim : 32, # Relations : 430
Total number of parameters: 382977
Starting training ...
====================================================================================================
============ Initialized logger ============
add_traspose_rels: True
aggregate: pna
aug: False
batch_size: 8
constrained_neg_prob: 0.0
dataset: fb237_v3
dropout: 0.1
early_stop: 50
emb_dim: 32
enclosing_sub_graph: False
exp_dir: GNN/experiments/fb237_v3_ln_False_32_0.1_6_gru_lstm
experiment_name: fb237_v3_ln_False_32_0.1_6_gru_lstm
gpu: 5
hop: 3
l2: 0.0001
load_model: False
loss: bce
lr: 0.0005
main_dir: GNN
margin: 10
max_links: 1000000
message: gru
num_epochs: 5
num_gcn_layers: 6
num_neg_samples_per_link: 1
num_workers: 8
optimizer: Adam
train_file: train
un_hop: 1
update: lstm
using_jk: False
valid_file: valid
============================================
No existing model found. Initializing new model..
Device: cuda
Input dim : 32, # Relations : 430
Total number of parameters: 382977
Starting training ...
====================================================================================================
Epoch 1 Training Performance:{'auc': 0.8898081184855725, 'auc_pr': 0.8898780621774981, 'acc': 0.7978427665962415} in 9447.800141572952 s 
Epoch 1 Validation Performance:{'auc': 0.9382143768245043, 'auc_pr': 0.9313882316821251, 'acc': 0.8511850501367365} in 734.1570961475372 s 
Epoch 1 Better models found w.r.t AUC-PR. Saved it!
Epoch 1 with loss: 0.4184362776113675, best validation AUC-PR: 0.9313882316821251, weight_norm: 12.263662338256836 in 10182.011806488037 s 
====================================================================================================
Epoch 2 Training Performance:{'auc': 0.9519145072110833, 'auc_pr': 0.948704084113453, 'acc': 0.8792672078283109} in 9423.93686914444 s 
Epoch 2 Validation Performance:{'auc': 0.9670790437831194, 'auc_pr': 0.9632352079681928, 'acc': 0.9033728350045579} in 733.784188747406 s 
Epoch 2 Better models found w.r.t AUC-PR. Saved it!
Epoch 2 with loss: 0.28022235582001664, best validation AUC-PR: 0.9632352079681928, weight_norm: 7.5077128410339355 in 10157.778626203537 s 
====================================================================================================
Epoch 3 Training Performance:{'auc': 0.9667362966456645, 'auc_pr': 0.9638973758469896, 'acc': 0.9038974758145224} in 9403.423779249191 s 
Epoch 3 Validation Performance:{'auc': 0.9721124530396565, 'auc_pr': 0.9702747179544705, 'acc': 0.9136280765724704} in 729.9107604026794 s 
Epoch 3 Better models found w.r.t AUC-PR. Saved it!
Epoch 3 with loss: 0.23121668979494095, best validation AUC-PR: 0.9702747179544705, weight_norm: 5.5055670738220215 in 10133.38258767128 s 
====================================================================================================
Epoch 4 Training Performance:{'auc': 0.9738928413859926, 'auc_pr': 0.9711550484896713, 'acc': 0.9152674302235072} in 8942.471551895142 s 
Epoch 4 Validation Performance:{'auc': 0.9736752010330652, 'auc_pr': 0.9711682165202564, 'acc': 0.9175022789425706} in 453.62926506996155 s 
Epoch 4 Better models found w.r.t AUC-PR. Saved it!
Epoch 4 with loss: 0.20275721078587008, best validation AUC-PR: 0.9711682165202564, weight_norm: 4.660519599914551 in 9396.152924537659 s 
====================================================================================================
Epoch 5 Training Performance:{'auc': 0.9774665758357169, 'auc_pr': 0.9743369297116892, 'acc': 0.9244968308684532} in 6674.622246265411 s 
Epoch 5 Validation Performance:{'auc': 0.977108676268833, 'auc_pr': 0.9740408439623677, 'acc': 0.9250227894257065} in 433.758216381073 s 
Epoch 5 Better models found w.r.t AUC-PR. Saved it!
Epoch 5 with loss: 0.18603651690130774, best validation AUC-PR: 0.9740408439623677, weight_norm: 4.199423313140869 in 7108.432533740997 s 
====================================================================================================
