============ Initialized logger ============
add_traspose_rels: True
aggregate: pna
aug: False
batch_size: 32
constrained_neg_prob: 0.0
dataset: fb237_v2
dropout: 0.1
early_stop: 50
emb_dim: 32
enclosing_sub_graph: False
exp_dir: GNN/experiments/fb237_v2_mlp
experiment_name: fb237_v2_mlp
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: 10
num_gcn_layers: 6
num_neg_samples_per_link: 1
num_workers: 8
optimizer: Adam
residual: True
train_file: train
un_hop: 1
update: mlp
using_jk: False
valid_file: valid
============================================
No existing model found. Initializing new model..
Device: cuda
Input dim : 32, # Relations : 400
Total number of parameters: 351297
Starting training ...
====================================================================================================
Run Time Error! Reduce batch size. Current batch size: 28
No existing model found. Initializing new model..
Device: cuda
Input dim : 32, # Relations : 400
Total number of parameters: 351297
Starting training ...
====================================================================================================
Run Time Error! Reduce batch size. Current batch size: 24
No existing model found. Initializing new model..
Device: cuda
Input dim : 32, # Relations : 400
Total number of parameters: 351297
Starting training ...
====================================================================================================
Run Time Error! Reduce batch size. Current batch size: 20
No existing model found. Initializing new model..
Device: cuda
Input dim : 32, # Relations : 400
Total number of parameters: 351297
Starting training ...
====================================================================================================
Run Time Error! Reduce batch size. Current batch size: 16
No existing model found. Initializing new model..
Device: cuda
Input dim : 32, # Relations : 400
Total number of parameters: 351297
Starting training ...
====================================================================================================
Run Time Error! Reduce batch size. Current batch size: 12
No existing model found. Initializing new model..
Device: cuda
Input dim : 32, # Relations : 400
Total number of parameters: 351297
Starting training ...
====================================================================================================
Epoch 1 Training Performance:{'auc': 0.8070214063597527, 'auc_pr': 0.8056814755274995, 'acc': 0.7169113872060786} in 2098.0339720249176 s 
Epoch 1 Validation Performance:{'auc': 0.8962293572313313, 'auc_pr': 0.9032796595731352, 'acc': 0.7971698113207547} in 159.51138615608215 s 
Epoch 1 Better models found w.r.t AUC-PR. Saved it!
Epoch 1 with loss: 0.5464696881402595, best validation AUC-PR: 0.9032796595731352, weight_norm: 17.1538143157959 in 2257.596259832382 s 
====================================================================================================
Epoch 2 Training Performance:{'auc': 0.9094136298177167, 'auc_pr': 0.9082850671714091, 'acc': 0.823339151863641} in 2087.441070318222 s 
Epoch 2 Validation Performance:{'auc': 0.936121792702912, 'auc_pr': 0.9366762567177725, 'acc': 0.8584905660377359} in 149.91177821159363 s 
Epoch 2 Better models found w.r.t AUC-PR. Saved it!
Epoch 2 with loss: 0.3841078164964327, best validation AUC-PR: 0.9366762567177725, weight_norm: 13.669672012329102 in 2237.4022312164307 s 
====================================================================================================
Epoch 3 Training Performance:{'auc': 0.9352306884392575, 'auc_pr': 0.9319408712569064, 'acc': 0.8572748742170654} in 2107.98481965065 s 
Epoch 3 Validation Performance:{'auc': 0.9515922845399527, 'auc_pr': 0.9503396840285391, 'acc': 0.8542024013722127} in 149.55398058891296 s 
Epoch 3 Better models found w.r.t AUC-PR. Saved it!
Epoch 3 with loss: 0.32602419495912904, best validation AUC-PR: 0.9503396840285391, weight_norm: 11.034343719482422 in 2257.5864555835724 s 
====================================================================================================
Epoch 4 Training Performance:{'auc': 0.9499180062829077, 'auc_pr': 0.9466832683998523, 'acc': 0.8760653044460417} in 2179.056163787842 s 
Epoch 4 Validation Performance:{'auc': 0.9537492387220532, 'auc_pr': 0.9500192077049776, 'acc': 0.8816466552315609} in 163.29851078987122 s 
Epoch 4 with loss: 0.2864678598793563, best validation AUC-PR: 0.9503396840285391, weight_norm: 9.072185516357422 in 2342.394275665283 s 
====================================================================================================
Epoch 5 Training Performance:{'auc': 0.9578386692552403, 'auc_pr': 0.9541605749734281, 'acc': 0.8893623575315741} in 2227.3669199943542 s 
Epoch 5 Validation Performance:{'auc': 0.96012889502161, 'auc_pr': 0.9549943227822154, 'acc': 0.8846483704974271} in 169.27242231369019 s 
Epoch 5 Better models found w.r.t AUC-PR. Saved it!
Epoch 5 with loss: 0.261624053010506, best validation AUC-PR: 0.9549943227822154, weight_norm: 7.629166126251221 in 2396.694182395935 s 
====================================================================================================
Epoch 6 Training Performance:{'auc': 0.9647105607922375, 'auc_pr': 0.9611346068284148, 'acc': 0.9013245713112229} in 2265.4398708343506 s 
Epoch 6 Validation Performance:{'auc': 0.9602962290630176, 'auc_pr': 0.9545097098448893, 'acc': 0.9000857632933105} in 171.52847385406494 s 
Epoch 6 with loss: 0.23750984777921233, best validation AUC-PR: 0.9549943227822154, weight_norm: 6.577141761779785 in 2437.0103302001953 s 
====================================================================================================
Epoch 7 Training Performance:{'auc': 0.9682335298977615, 'auc_pr': 0.9642068149778755, 'acc': 0.9079987678406407} in 2221.0614264011383 s 
Epoch 7 Validation Performance:{'auc': 0.9630327842324995, 'auc_pr': 0.958812112480534, 'acc': 0.855917667238422} in 182.12868523597717 s 
Epoch 7 Better models found w.r.t AUC-PR. Saved it!
Epoch 7 with loss: 0.22378416423883124, best validation AUC-PR: 0.958812112480534, weight_norm: 5.825410842895508 in 2403.254531621933 s 
====================================================================================================
Epoch 8 Training Performance:{'auc': 0.9733042787426438, 'auc_pr': 0.9699035480916068, 'acc': 0.9162645035424581} in 2227.661746740341 s 
Epoch 8 Validation Performance:{'auc': 0.9666556581707557, 'auc_pr': 0.9620590868584149, 'acc': 0.9112349914236707} in 165.0664119720459 s 
Epoch 8 Better models found w.r.t AUC-PR. Saved it!
Epoch 8 with loss: 0.20437984964970884, best validation AUC-PR: 0.9620590868584149, weight_norm: 5.286072731018066 in 2392.7996792793274 s 
====================================================================================================
Epoch 9 Training Performance:{'auc': 0.976085282701594, 'auc_pr': 0.9727225705062993, 'acc': 0.9230413800184823} in 2222.948585510254 s 
Epoch 9 Validation Performance:{'auc': 0.9645818193586729, 'auc_pr': 0.9604222147328318, 'acc': 0.9112349914236707} in 160.431960105896 s 
Epoch 9 with loss: 0.1917372763918465, best validation AUC-PR: 0.9620590868584149, weight_norm: 4.894761085510254 in 2383.4279556274414 s 
====================================================================================================
Epoch 10 Training Performance:{'auc': 0.9784609438915505, 'auc_pr': 0.9750373878599973, 'acc': 0.9283293972687134} in 2182.062604188919 s 
Epoch 10 Validation Performance:{'auc': 0.9678663475428743, 'auc_pr': 0.9649126654439097, 'acc': 0.9120926243567753} in 151.84429478645325 s 
Epoch 10 Better models found w.r.t AUC-PR. Saved it!
Epoch 10 with loss: 0.18020046754909927, best validation AUC-PR: 0.9649126654439097, weight_norm: 4.607258319854736 in 2333.9757101535797 s 
====================================================================================================
