============ Initialized logger ============
add_traspose_rels: True
aggregate: pna
aug: False
batch_size: 4
constrained_neg_prob: 0.0
dataset: fb237_v4
dropout: 0.1
early_stop: 50
emb_dim: 32
enclosing_sub_graph: False
exp_dir: GNN/experiments/fb237_v4_add
experiment_name: fb237_v4_add
gpu: 4
hop: 3
l2: 0.0001
load_model: False
loss: bce
lr: 0.0005
main_dir: GNN
margin: 10
max_links: 1000000
message: add
num_epochs: 5
num_gcn_layers: 5
num_neg_samples_per_link: 1
num_workers: 8
optimizer: Adam
residual: False
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 : 438
Total number of parameters: 175361
Starting training ...
====================================================================================================
Epoch 1 Training Performance:{'auc': 0.872955377278641, 'auc_pr': 0.8508311219687916, 'acc': 0.7748777708340991} in 15838.430699110031 s 
Epoch 1 Validation Performance:{'auc': 0.9240737104909406, 'auc_pr': 0.9072244666003444, 'acc': 0.8269689737470167} in 1126.6455552577972 s 
Epoch 1 Better models found w.r.t AUC-PR. Saved it!
Epoch 1 with loss: 0.4413731259856263, best validation AUC-PR: 0.9072244666003444, weight_norm: 7.56113862991333 in 16965.119166135788 s 
====================================================================================================
Epoch 2 Training Performance:{'auc': 0.941912017438292, 'auc_pr': 0.923968426126291, 'acc': 0.8747564606844833} in 15672.713374376297 s 
Epoch 2 Validation Performance:{'auc': 0.9497845478209853, 'auc_pr': 0.9305176800680838, 'acc': 0.8946897374701671} in 1137.255661725998 s 
Epoch 2 Better models found w.r.t AUC-PR. Saved it!
Epoch 2 with loss: 0.29153387677765275, best validation AUC-PR: 0.9305176800680838, weight_norm: 6.06730842590332 in 16810.0300924778 s 
====================================================================================================
Epoch 3 Training Performance:{'auc': 0.9561543604062938, 'auc_pr': 0.9413343209282361, 'acc': 0.9005808182921001} in 15789.671655893326 s 
Epoch 3 Validation Performance:{'auc': 0.9619982068198519, 'auc_pr': 0.9505743364059397, 'acc': 0.9100536992840096} in 1142.9668962955475 s 
Epoch 3 Better models found w.r.t AUC-PR. Saved it!
Epoch 3 with loss: 0.24458362195156585, best validation AUC-PR: 0.9505743364059397, weight_norm: 5.282391548156738 in 16932.689296007156 s 
====================================================================================================
Epoch 4 Training Performance:{'auc': 0.9636095902389524, 'auc_pr': 0.9518344860946618, 'acc': 0.9113884498033306} in 17244.49077439308 s 
Epoch 4 Validation Performance:{'auc': 0.9640453051218665, 'auc_pr': 0.9554972164236606, 'acc': 0.9112470167064439} in 1378.6783254146576 s 
Epoch 4 Better models found w.r.t AUC-PR. Saved it!
Epoch 4 with loss: 0.22133450670798546, best validation AUC-PR: 0.9554972164236606, weight_norm: 4.784662246704102 in 18623.217545986176 s 
====================================================================================================
Epoch 5 Training Performance:{'auc': 0.9677866788818209, 'auc_pr': 0.9570896745478186, 'acc': 0.9212035437267948} in 17264.56926727295 s 
Epoch 5 Validation Performance:{'auc': 0.9670474222634867, 'auc_pr': 0.9574407611786057, 'acc': 0.9197494033412887} in 1551.3853857517242 s 
Epoch 5 Better models found w.r.t AUC-PR. Saved it!
Epoch 5 with loss: 0.20643150101793353, best validation AUC-PR: 0.9574407611786057, weight_norm: 4.453513145446777 in 18816.00704550743 s 
====================================================================================================
