============ 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_fi
experiment_name: fb237_v3_fi
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
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 : 430
Total number of parameters: 382977
Starting training ...
====================================================================================================
Epoch 1 Training Performance:{'auc': 0.8410036605190869, 'auc_pr': 0.8156794998178993, 'acc': 0.7442455242966752} in 9099.803963661194 s 
Epoch 1 Validation Performance:{'auc': 0.8959942131062673, 'auc_pr': 0.8583357791356634, 'acc': 0.786007292616226} in 559.0851514339447 s 
Epoch 1 Better models found w.r.t AUC-PR. Saved it!
Epoch 1 with loss: 0.49085095459179057, best validation AUC-PR: 0.8583357791356634, weight_norm: 14.818768501281738 in 9658.983108758926 s 
====================================================================================================
Epoch 2 Training Performance:{'auc': 0.9304647325744752, 'auc_pr': 0.9095642821566565, 'acc': 0.8575836761925942} in 8473.097752094269 s 
Epoch 2 Validation Performance:{'auc': 0.9209875860991565, 'auc_pr': 0.8973588909681125, 'acc': 0.8443482224247949} in 594.3727440834045 s 
Epoch 2 Better models found w.r.t AUC-PR. Saved it!
Epoch 2 with loss: 0.32583391489964314, best validation AUC-PR: 0.8973588909681125, weight_norm: 10.140772819519043 in 9067.590293169022 s 
====================================================================================================
Epoch 3 Training Performance:{'auc': 0.9494439047437825, 'auc_pr': 0.9339295210763598, 'acc': 0.8848826865339708} in 8744.173618793488 s 
Epoch 3 Validation Performance:{'auc': 0.932915887283542, 'auc_pr': 0.9118018551284806, 'acc': 0.7898814949863263} in 553.7865161895752 s 
Epoch 3 Better models found w.r.t AUC-PR. Saved it!
Epoch 3 with loss: 0.2712174646625963, best validation AUC-PR: 0.9118018551284806, weight_norm: 7.392129898071289 in 9298.023295164108 s 
====================================================================================================
Epoch 4 Training Performance:{'auc': 0.9584521868689917, 'auc_pr': 0.946215749487116, 'acc': 0.8992271766929835} in 7752.061823606491 s 
Epoch 4 Validation Performance:{'auc': 0.9356321292262232, 'auc_pr': 0.9141209552143502, 'acc': 0.8154056517775752} in 542.5857632160187 s 
Epoch 4 Better models found w.r.t AUC-PR. Saved it!
Epoch 4 with loss: 0.2421872144200907, best validation AUC-PR: 0.9141209552143502, weight_norm: 5.873346328735352 in 8294.755163908005 s 
====================================================================================================
Epoch 5 Training Performance:{'auc': 0.9636699081926761, 'auc_pr': 0.9519862697888198, 'acc': 0.9097631491159791} in 7932.539264678955 s 
Epoch 5 Validation Performance:{'auc': 0.9434911572042424, 'auc_pr': 0.9252080292844016, 'acc': 0.8067456700091158} in 539.3841712474823 s 
Epoch 5 Better models found w.r.t AUC-PR. Saved it!
Epoch 5 with loss: 0.22261687953415277, best validation AUC-PR: 0.9252080292844016, weight_norm: 5.0624165534973145 in 8472.00742983818 s 
====================================================================================================
