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result_gap_edp_ep8.txt
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result_gap_edp_ep8.txt
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[23:07:44] INFO importing modules...done in 2.79 s train.py:16
INFO program arguments utils.py:156
─────────────────────────────────────────────────────────
method: gap-edp optimizer: adam
dataset: facebook learning_rate: 0.01
data_dir: ./datasets weight_decay: 0.0
delta: auto batch_size: full
hops: 2 full_batch_eval: True
hidden_dim: 16 device: cuda
encoder_layers: 2 val_interval: 1
base_layers: 1 seed: 12345
head_layers: 1 repeats: 1
combine: cat debug: False
activation: selu logger: csv
dropout: 0.0 project: GAP
batch_norm: True output_dir: ./output
encoder_epochs: 10 epsilon: 8.0
epochs: 10
─────────────────────────────────────────────────────────
INFO dataset: facebook loader.py:76
───────────────────────────────────────────────────────────
nodes: 26,406 mean degree: 80.21
edges: 2,117,924 median degree: 62.0
features: 501 train/val/test (%): 75.0/10.0/15.0
classes: 6 baseline acc (%): 22.93
───────────────────────────────────────────────────────────
INFO loading dataset...done in 0.39 s train.py:36
WARNING CUDA is not available, proceeding with CPU base.py:40
INFO delta = 1e-07 gap_edp.py:35
INFO noise scale: 0.9929 gap_edp.py:38
INFO calibrating noise to privacy budget...done in 0.05 s gap_edp.py:38
INFO pretraining encoder gap_inf.py:121
overal progress 10/10 epochs ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% 0:00:00
encoder/train/acc: 53.266 encoder/train/loss: 1.177 encoder/val/acc: 29.583 encoder/val/loss: 1.617
INFO computing aggregations...done in 0.03 s gap_inf.py:149
INFO training classifier base.py:86
<core.trainer.trainer.Trainer object at 0x17f383040>
overal progress 10/10 epochs ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% 0:00:00
train/acc: 65.835 train/loss: 0.945 val/acc: 28.712 val/loss: 1.570
[23:07:45] INFO run 1 train.py:68
──────────────────────────
metric last mean
──────────────────────────
test/acc 33.04 33.04
──────────────────────────
test/acc last 33.04 mean 33.04
INFO Total running time: 1.16 seconds. train.py:121
INFO program arguments utils.py:156
─────────────────────────────────────────────────────────
method: gap-edp optimizer: adam
dataset: facebook learning_rate: 0.01
data_dir: ./datasets weight_decay: 0.0
delta: auto batch_size: full
hops: 2 full_batch_eval: True
hidden_dim: 16 device: cuda
encoder_layers: 2 val_interval: 1
base_layers: 1 seed: 12345
head_layers: 1 repeats: 1
combine: cat debug: False
activation: selu logger: csv
dropout: 0.0 project: GAP
batch_norm: True output_dir: ./output
encoder_epochs: 10 epsilon: 8.0
epochs: 10
─────────────────────────────────────────────────────────
INFO dataset: facebook loader.py:76
───────────────────────────────────────────────────────────
nodes: 26,406 mean degree: 80.21
edges: 2,117,924 median degree: 62.0
features: 501 train/val/test (%): 75.0/10.0/15.0
classes: 6 baseline acc (%): 22.93
───────────────────────────────────────────────────────────
INFO loading dataset...done in 0.28 s train.py:36
WARNING CUDA is not available, proceeding with CPU base.py:40
INFO delta = 1e-07 gap_edp.py:35
INFO noise scale: 0.9929 gap_edp.py:38
INFO calibrating noise to privacy budget...done in 0.04 s gap_edp.py:38
INFO pretraining encoder gap_inf.py:121
overal progress 10/10 epochs ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% 0:00:00
encoder/train/acc: 53.266 encoder/train/loss: 1.177 encoder/val/acc: 29.583 encoder/val/loss: 1.617
INFO computing aggregations...done in 0.03 s gap_inf.py:149
INFO training classifier base.py:86
<core.trainer.trainer.Trainer object at 0x17752b910>
overal progress 10/10 epochs ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% 0:00:00
train/acc: 65.835 train/loss: 0.945 val/acc: 28.712 val/loss: 1.570
[23:07:46] INFO run 1 train.py:68
──────────────────────────
metric last mean
──────────────────────────
test/acc 33.04 33.04
──────────────────────────
test/acc last 33.04 mean 33.04
INFO Total running time: 0.95 seconds. train.py:121
INFO program arguments utils.py:156
─────────────────────────────────────────────────────────
method: gap-edp optimizer: adam
dataset: facebook learning_rate: 0.01
data_dir: ./datasets weight_decay: 0.0
delta: auto batch_size: full
hops: 2 full_batch_eval: True
hidden_dim: 16 device: cuda
encoder_layers: 2 val_interval: 1
base_layers: 1 seed: 12345
head_layers: 1 repeats: 1
combine: cat debug: False
activation: selu logger: csv
dropout: 0.0 project: GAP
batch_norm: True output_dir: ./output
encoder_epochs: 10 epsilon: 8.0
epochs: 10
─────────────────────────────────────────────────────────
INFO dataset: facebook loader.py:76
───────────────────────────────────────────────────────────
nodes: 26,406 mean degree: 80.21
edges: 2,117,924 median degree: 62.0
features: 501 train/val/test (%): 75.0/10.0/15.0
classes: 6 baseline acc (%): 22.93
───────────────────────────────────────────────────────────
INFO loading dataset...done in 0.29 s train.py:36
WARNING CUDA is not available, proceeding with CPU base.py:40
INFO delta = 1e-07 gap_edp.py:35
INFO noise scale: 0.9929 gap_edp.py:38
INFO calibrating noise to privacy budget...done in 0.04 s gap_edp.py:38
INFO pretraining encoder gap_inf.py:121
overal progress 10/10 epochs ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% 0:00:00
encoder/train/acc: 53.266 encoder/train/loss: 1.177 encoder/val/acc: 29.583 encoder/val/loss: 1.617
INFO computing aggregations...done in 0.03 s gap_inf.py:149
INFO training classifier base.py:86
<core.trainer.trainer.Trainer object at 0x177862340>
overal progress 10/10 epochs ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% 0:00:00
train/acc: 65.835 train/loss: 0.945 val/acc: 28.712 val/loss: 1.570
[23:07:47] INFO run 1 train.py:68
──────────────────────────
metric last mean
──────────────────────────
test/acc 33.04 33.04
──────────────────────────
test/acc last 33.04 mean 33.04
INFO Total running time: 0.95 seconds. train.py:121
INFO program arguments utils.py:156
─────────────────────────────────────────────────────────
method: gap-edp optimizer: adam
dataset: facebook learning_rate: 0.01
data_dir: ./datasets weight_decay: 0.0
delta: auto batch_size: full
hops: 2 full_batch_eval: True
hidden_dim: 16 device: cuda
encoder_layers: 2 val_interval: 1
base_layers: 1 seed: 12345
head_layers: 1 repeats: 1
combine: cat debug: False
activation: selu logger: csv
dropout: 0.0 project: GAP
batch_norm: True output_dir: ./output
encoder_epochs: 10 epsilon: 8.0
epochs: 10
─────────────────────────────────────────────────────────
INFO dataset: facebook loader.py:76
───────────────────────────────────────────────────────────
nodes: 26,406 mean degree: 80.21
edges: 2,117,924 median degree: 62.0
features: 501 train/val/test (%): 75.0/10.0/15.0
classes: 6 baseline acc (%): 22.93
───────────────────────────────────────────────────────────
INFO loading dataset...done in 0.28 s train.py:36
WARNING CUDA is not available, proceeding with CPU base.py:40
INFO delta = 1e-07 gap_edp.py:35
INFO noise scale: 0.9929 gap_edp.py:38
INFO calibrating noise to privacy budget...done in 0.04 s gap_edp.py:38
INFO pretraining encoder gap_inf.py:121
overal progress 10/10 epochs ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% 0:00:00
encoder/train/acc: 53.266 encoder/train/loss: 1.177 encoder/val/acc: 29.583 encoder/val/loss: 1.617
INFO computing aggregations...done in 0.03 s gap_inf.py:149
INFO training classifier base.py:86
<core.trainer.trainer.Trainer object at 0x1572e5460>
overal progress 10/10 epochs ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% 0:00:00
train/acc: 65.835 train/loss: 0.945 val/acc: 28.712 val/loss: 1.570
[23:07:48] INFO run 1 train.py:68
──────────────────────────
metric last mean
──────────────────────────
test/acc 33.04 33.04
──────────────────────────
test/acc last 33.04 mean 33.04
INFO Total running time: 0.94 seconds. train.py:121
INFO program arguments utils.py:156
─────────────────────────────────────────────────────────
method: gap-edp optimizer: adam
dataset: facebook learning_rate: 0.01
data_dir: ./datasets weight_decay: 0.0
delta: auto batch_size: full
hops: 2 full_batch_eval: True
hidden_dim: 16 device: cuda
encoder_layers: 2 val_interval: 1
base_layers: 1 seed: 12345
head_layers: 1 repeats: 1
combine: cat debug: False
activation: selu logger: csv
dropout: 0.0 project: GAP
batch_norm: True output_dir: ./output
encoder_epochs: 10 epsilon: 8.0
epochs: 10
─────────────────────────────────────────────────────────
INFO dataset: facebook loader.py:76
───────────────────────────────────────────────────────────
nodes: 26,406 mean degree: 80.21
edges: 2,117,924 median degree: 62.0
features: 501 train/val/test (%): 75.0/10.0/15.0
classes: 6 baseline acc (%): 22.93
───────────────────────────────────────────────────────────
INFO loading dataset...done in 0.29 s train.py:36
WARNING CUDA is not available, proceeding with CPU base.py:40
INFO delta = 1e-07 gap_edp.py:35
INFO noise scale: 0.9929 gap_edp.py:38
INFO calibrating noise to privacy budget...done in 0.04 s gap_edp.py:38
INFO pretraining encoder gap_inf.py:121
overal progress 10/10 epochs ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% 0:00:00
encoder/train/acc: 53.266 encoder/train/loss: 1.177 encoder/val/acc: 29.583 encoder/val/loss: 1.617
INFO computing aggregations...done in 0.03 s gap_inf.py:149
INFO training classifier base.py:86
<core.trainer.trainer.Trainer object at 0x17f587340>
overal progress 10/10 epochs ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% 0:00:00
train/acc: 65.835 train/loss: 0.945 val/acc: 28.712 val/loss: 1.570
INFO run 1 train.py:68
──────────────────────────
metric last mean
──────────────────────────
test/acc 33.04 33.04
──────────────────────────
test/acc last 33.04 mean 33.04
[23:07:49] INFO Total running time: 0.93 seconds. train.py:121
INFO program arguments utils.py:156
─────────────────────────────────────────────────────────
method: gap-edp optimizer: adam
dataset: facebook learning_rate: 0.01
data_dir: ./datasets weight_decay: 0.0
delta: auto batch_size: full
hops: 2 full_batch_eval: True
hidden_dim: 16 device: cuda
encoder_layers: 2 val_interval: 1
base_layers: 1 seed: 12345
head_layers: 1 repeats: 1
combine: cat debug: False
activation: selu logger: csv
dropout: 0.0 project: GAP
batch_norm: True output_dir: ./output
encoder_epochs: 10 epsilon: 8.0
epochs: 10
─────────────────────────────────────────────────────────
INFO dataset: facebook loader.py:76
───────────────────────────────────────────────────────────
nodes: 26,406 mean degree: 80.21
edges: 2,117,924 median degree: 62.0
features: 501 train/val/test (%): 75.0/10.0/15.0
classes: 6 baseline acc (%): 22.93
───────────────────────────────────────────────────────────
INFO loading dataset...done in 0.28 s train.py:36
WARNING CUDA is not available, proceeding with CPU base.py:40
INFO delta = 1e-07 gap_edp.py:35
INFO noise scale: 0.9929 gap_edp.py:38
INFO calibrating noise to privacy budget...done in 0.04 s gap_edp.py:38
INFO pretraining encoder gap_inf.py:121
overal progress 10/10 epochs ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% 0:00:00
encoder/train/acc: 53.266 encoder/train/loss: 1.177 encoder/val/acc: 29.583 encoder/val/loss: 1.617
INFO computing aggregations...done in 0.03 s gap_inf.py:149
INFO training classifier base.py:86
<core.trainer.trainer.Trainer object at 0x1099a5040>
overal progress 10/10 epochs ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% 0:00:00
train/acc: 65.835 train/loss: 0.945 val/acc: 28.712 val/loss: 1.570
INFO run 1 train.py:68
──────────────────────────
metric last mean
──────────────────────────
test/acc 33.04 33.04
──────────────────────────
test/acc last 33.04 mean 33.04
[23:07:50] INFO Total running time: 0.99 seconds. train.py:121
INFO program arguments utils.py:156
─────────────────────────────────────────────────────────
method: gap-edp optimizer: adam
dataset: facebook learning_rate: 0.01
data_dir: ./datasets weight_decay: 0.0
delta: auto batch_size: full
hops: 2 full_batch_eval: True
hidden_dim: 16 device: cuda
encoder_layers: 2 val_interval: 1
base_layers: 1 seed: 12345
head_layers: 1 repeats: 1
combine: cat debug: False
activation: selu logger: csv
dropout: 0.0 project: GAP
batch_norm: True output_dir: ./output
encoder_epochs: 10 epsilon: 8.0
epochs: 10
─────────────────────────────────────────────────────────
INFO dataset: facebook loader.py:76
───────────────────────────────────────────────────────────
nodes: 26,406 mean degree: 80.21
edges: 2,117,924 median degree: 62.0
features: 501 train/val/test (%): 75.0/10.0/15.0
classes: 6 baseline acc (%): 22.93
───────────────────────────────────────────────────────────
INFO loading dataset...done in 0.29 s train.py:36
WARNING CUDA is not available, proceeding with CPU base.py:40
INFO delta = 1e-07 gap_edp.py:35
INFO noise scale: 0.9929 gap_edp.py:38
INFO calibrating noise to privacy budget...done in 0.04 s gap_edp.py:38
INFO pretraining encoder gap_inf.py:121
overal progress 10/10 epochs ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% 0:00:00
encoder/train/acc: 53.266 encoder/train/loss: 1.177 encoder/val/acc: 29.583 encoder/val/loss: 1.617
INFO computing aggregations...done in 0.03 s gap_inf.py:149
INFO training classifier base.py:86
<core.trainer.trainer.Trainer object at 0x17f594670>
overal progress 10/10 epochs ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% 0:00:00
train/acc: 65.835 train/loss: 0.945 val/acc: 28.712 val/loss: 1.570
INFO run 1 train.py:68
──────────────────────────
metric last mean
──────────────────────────
test/acc 33.04 33.04
──────────────────────────
test/acc last 33.04 mean 33.04
[23:07:51] INFO Total running time: 0.93 seconds. train.py:121
INFO program arguments utils.py:156
─────────────────────────────────────────────────────────
method: gap-edp optimizer: adam
dataset: facebook learning_rate: 0.01
data_dir: ./datasets weight_decay: 0.0
delta: auto batch_size: full
hops: 2 full_batch_eval: True
hidden_dim: 16 device: cuda
encoder_layers: 2 val_interval: 1
base_layers: 1 seed: 12345
head_layers: 1 repeats: 1
combine: cat debug: False
activation: selu logger: csv
dropout: 0.0 project: GAP
batch_norm: True output_dir: ./output
encoder_epochs: 10 epsilon: 8.0
epochs: 10
─────────────────────────────────────────────────────────
INFO dataset: facebook loader.py:76
───────────────────────────────────────────────────────────
nodes: 26,406 mean degree: 80.21
edges: 2,117,924 median degree: 62.0
features: 501 train/val/test (%): 75.0/10.0/15.0
classes: 6 baseline acc (%): 22.93
───────────────────────────────────────────────────────────
INFO loading dataset...done in 0.29 s train.py:36
WARNING CUDA is not available, proceeding with CPU base.py:40
INFO delta = 1e-07 gap_edp.py:35
INFO noise scale: 0.9929 gap_edp.py:38
INFO calibrating noise to privacy budget...done in 0.04 s gap_edp.py:38
INFO pretraining encoder gap_inf.py:121
overal progress 10/10 epochs ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% 0:00:00
encoder/train/acc: 53.266 encoder/train/loss: 1.177 encoder/val/acc: 29.583 encoder/val/loss: 1.617
INFO computing aggregations...done in 0.03 s gap_inf.py:149
INFO training classifier base.py:86
<core.trainer.trainer.Trainer object at 0x17f594280>
overal progress 10/10 epochs ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% 0:00:00
train/acc: 65.835 train/loss: 0.945 val/acc: 28.712 val/loss: 1.570
INFO run 1 train.py:68
──────────────────────────
metric last mean
──────────────────────────
test/acc 33.04 33.04
──────────────────────────
test/acc last 33.04 mean 33.04
INFO Total running time: 0.92 seconds. train.py:121
INFO program arguments utils.py:156
─────────────────────────────────────────────────────────
method: gap-edp optimizer: adam
dataset: facebook learning_rate: 0.01
data_dir: ./datasets weight_decay: 0.0
delta: auto batch_size: full
hops: 2 full_batch_eval: True
hidden_dim: 16 device: cuda
encoder_layers: 2 val_interval: 1
base_layers: 1 seed: 12345
head_layers: 1 repeats: 1
combine: cat debug: False
activation: selu logger: csv
dropout: 0.0 project: GAP
batch_norm: True output_dir: ./output
encoder_epochs: 10 epsilon: 8.0
epochs: 10
─────────────────────────────────────────────────────────
[23:07:52] INFO dataset: facebook loader.py:76
───────────────────────────────────────────────────────────
nodes: 26,406 mean degree: 80.21
edges: 2,117,924 median degree: 62.0
features: 501 train/val/test (%): 75.0/10.0/15.0
classes: 6 baseline acc (%): 22.93
───────────────────────────────────────────────────────────
INFO loading dataset...done in 0.28 s train.py:36
WARNING CUDA is not available, proceeding with CPU base.py:40
INFO delta = 1e-07 gap_edp.py:35
INFO noise scale: 0.9929 gap_edp.py:38
INFO calibrating noise to privacy budget...done in 0.04 s gap_edp.py:38
INFO pretraining encoder gap_inf.py:121
overal progress 10/10 epochs ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% 0:00:00
encoder/train/acc: 53.266 encoder/train/loss: 1.177 encoder/val/acc: 29.583 encoder/val/loss: 1.617
INFO computing aggregations...done in 0.03 s gap_inf.py:149
INFO training classifier base.py:86
<core.trainer.trainer.Trainer object at 0x17f546580>
overal progress 10/10 epochs ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% 0:00:00
train/acc: 65.835 train/loss: 0.945 val/acc: 28.712 val/loss: 1.570
INFO run 1 train.py:68
──────────────────────────
metric last mean
──────────────────────────
test/acc 33.04 33.04
──────────────────────────
test/acc last 33.04 mean 33.04
[23:07:53] INFO Total running time: 1.07 seconds. train.py:121
INFO program arguments utils.py:156
─────────────────────────────────────────────────────────
method: gap-edp optimizer: adam
dataset: facebook learning_rate: 0.01
data_dir: ./datasets weight_decay: 0.0
delta: auto batch_size: full
hops: 2 full_batch_eval: True
hidden_dim: 16 device: cuda
encoder_layers: 2 val_interval: 1
base_layers: 1 seed: 12345
head_layers: 1 repeats: 1
combine: cat debug: False
activation: selu logger: csv
dropout: 0.0 project: GAP
batch_norm: True output_dir: ./output
encoder_epochs: 10 epsilon: 8.0
epochs: 10
─────────────────────────────────────────────────────────
INFO dataset: facebook loader.py:76
───────────────────────────────────────────────────────────
nodes: 26,406 mean degree: 80.21
edges: 2,117,924 median degree: 62.0
features: 501 train/val/test (%): 75.0/10.0/15.0
classes: 6 baseline acc (%): 22.93
───────────────────────────────────────────────────────────
INFO loading dataset...done in 0.30 s train.py:36
WARNING CUDA is not available, proceeding with CPU base.py:40
INFO delta = 1e-07 gap_edp.py:35
INFO noise scale: 0.9929 gap_edp.py:38
INFO calibrating noise to privacy budget...done in 0.04 s gap_edp.py:38
INFO pretraining encoder gap_inf.py:121
overal progress 10/10 epochs ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% 0:00:00
encoder/train/acc: 53.266 encoder/train/loss: 1.177 encoder/val/acc: 29.583 encoder/val/loss: 1.617
INFO computing aggregations...done in 0.03 s gap_inf.py:149
INFO training classifier base.py:86
<core.trainer.trainer.Trainer object at 0x17f5ccaf0>
overal progress 10/10 epochs ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% 0:00:00
train/acc: 65.835 train/loss: 0.945 val/acc: 28.712 val/loss: 1.570
INFO run 1 train.py:68
──────────────────────────
metric last mean
──────────────────────────
test/acc 33.04 33.04
──────────────────────────
test/acc last 33.04 mean 33.04
[23:07:54] INFO Total running time: 0.99 seconds. train.py:121
INFO program arguments utils.py:156
─────────────────────────────────────────────────────────
method: gap-edp optimizer: adam
dataset: facebook learning_rate: 0.01
data_dir: ./datasets weight_decay: 0.0
delta: auto batch_size: full
hops: 2 full_batch_eval: True
hidden_dim: 16 device: cuda
encoder_layers: 2 val_interval: 1
base_layers: 1 seed: 12345
head_layers: 1 repeats: 1
combine: cat debug: False
activation: selu logger: csv
dropout: 0.0 project: GAP
batch_norm: True output_dir: ./output
encoder_epochs: 10 epsilon: 8.0
epochs: 10
─────────────────────────────────────────────────────────
INFO dataset: facebook loader.py:76
───────────────────────────────────────────────────────────
nodes: 26,406 mean degree: 80.21
edges: 2,117,924 median degree: 62.0
features: 501 train/val/test (%): 75.0/10.0/15.0
classes: 6 baseline acc (%): 22.93
───────────────────────────────────────────────────────────
INFO loading dataset...done in 0.29 s train.py:36
WARNING CUDA is not available, proceeding with CPU base.py:40
INFO delta = 1e-07 gap_edp.py:35
INFO noise scale: 0.9929 gap_edp.py:38
INFO calibrating noise to privacy budget...done in 0.04 s gap_edp.py:38
INFO pretraining encoder gap_inf.py:121
overal progress 10/10 epochs ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% 0:00:00
encoder/train/acc: 53.266 encoder/train/loss: 1.177 encoder/val/acc: 29.583 encoder/val/loss: 1.617
INFO computing aggregations...done in 0.03 s gap_inf.py:149
INFO training classifier base.py:86
<core.trainer.trainer.Trainer object at 0x17f51ab80>
overal progress 10/10 epochs ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% 0:00:00
train/acc: 65.835 train/loss: 0.945 val/acc: 28.712 val/loss: 1.570
INFO run 1 train.py:68
──────────────────────────
metric last mean
──────────────────────────
test/acc 33.04 33.04
──────────────────────────
test/acc last 33.04 mean 33.04
[23:07:55] INFO Total running time: 0.94 seconds. train.py:121
INFO program arguments utils.py:156
─────────────────────────────────────────────────────────
method: gap-edp optimizer: adam
dataset: facebook learning_rate: 0.01
data_dir: ./datasets weight_decay: 0.0
delta: auto batch_size: full
hops: 2 full_batch_eval: True
hidden_dim: 16 device: cuda
encoder_layers: 2 val_interval: 1
base_layers: 1 seed: 12345
head_layers: 1 repeats: 1
combine: cat debug: False
activation: selu logger: csv
dropout: 0.0 project: GAP
batch_norm: True output_dir: ./output
encoder_epochs: 10 epsilon: 8.0
epochs: 10
─────────────────────────────────────────────────────────
INFO dataset: facebook loader.py:76
───────────────────────────────────────────────────────────
nodes: 26,406 mean degree: 80.21
edges: 2,117,924 median degree: 62.0
features: 501 train/val/test (%): 75.0/10.0/15.0
classes: 6 baseline acc (%): 22.93
───────────────────────────────────────────────────────────
INFO loading dataset...done in 0.29 s train.py:36
WARNING CUDA is not available, proceeding with CPU base.py:40
INFO delta = 1e-07 gap_edp.py:35
INFO noise scale: 0.9929 gap_edp.py:38
INFO calibrating noise to privacy budget...done in 0.04 s gap_edp.py:38
INFO pretraining encoder gap_inf.py:121
overal progress 10/10 epochs ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% 0:00:00
encoder/train/acc: 53.266 encoder/train/loss: 1.177 encoder/val/acc: 29.583 encoder/val/loss: 1.617
INFO computing aggregations...done in 0.03 s gap_inf.py:149
INFO training classifier base.py:86
<core.trainer.trainer.Trainer object at 0x17f475d60>
overal progress 10/10 epochs ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% 0:00:00
train/acc: 65.835 train/loss: 0.945 val/acc: 28.712 val/loss: 1.570
INFO run 1 train.py:68
──────────────────────────
metric last mean
──────────────────────────
test/acc 33.04 33.04
──────────────────────────
test/acc last 33.04 mean 33.04
INFO Total running time: 0.93 seconds. train.py:121
INFO program arguments utils.py:156
─────────────────────────────────────────────────────────
method: gap-edp optimizer: adam
dataset: facebook learning_rate: 0.01
data_dir: ./datasets weight_decay: 0.0
delta: auto batch_size: full
hops: 2 full_batch_eval: True
hidden_dim: 16 device: cuda
encoder_layers: 2 val_interval: 1
base_layers: 1 seed: 12345
head_layers: 1 repeats: 1
combine: cat debug: False
activation: selu logger: csv
dropout: 0.0 project: GAP
batch_norm: True output_dir: ./output
encoder_epochs: 10 epsilon: 8.0
epochs: 10
─────────────────────────────────────────────────────────
[23:07:56] INFO dataset: facebook loader.py:76
───────────────────────────────────────────────────────────
nodes: 26,406 mean degree: 80.21
edges: 2,117,924 median degree: 62.0
features: 501 train/val/test (%): 75.0/10.0/15.0
classes: 6 baseline acc (%): 22.93
───────────────────────────────────────────────────────────
INFO loading dataset...done in 0.29 s train.py:36
WARNING CUDA is not available, proceeding with CPU base.py:40
INFO delta = 1e-07 gap_edp.py:35
INFO noise scale: 0.9929 gap_edp.py:38
INFO calibrating noise to privacy budget...done in 0.04 s gap_edp.py:38
INFO pretraining encoder gap_inf.py:121
overal progress 10/10 epochs ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% 0:00:00
encoder/train/acc: 53.266 encoder/train/loss: 1.177 encoder/val/acc: 29.583 encoder/val/loss: 1.617
INFO computing aggregations...done in 0.03 s gap_inf.py:149
INFO training classifier base.py:86
<core.trainer.trainer.Trainer object at 0x17f60e640>
overal progress 10/10 epochs ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% 0:00:00
train/acc: 65.835 train/loss: 0.945 val/acc: 28.712 val/loss: 1.570
INFO run 1 train.py:68
──────────────────────────
metric last mean
──────────────────────────
test/acc 33.04 33.04
──────────────────────────
test/acc last 33.04 mean 33.04
INFO Total running time: 0.94 seconds. train.py:121
INFO program arguments utils.py:156
─────────────────────────────────────────────────────────
method: gap-edp optimizer: adam
dataset: facebook learning_rate: 0.01
data_dir: ./datasets weight_decay: 0.0
delta: auto batch_size: full
hops: 2 full_batch_eval: True
hidden_dim: 16 device: cuda
encoder_layers: 2 val_interval: 1
base_layers: 1 seed: 12345
head_layers: 1 repeats: 1
combine: cat debug: False
activation: selu logger: csv
dropout: 0.0 project: GAP
batch_norm: True output_dir: ./output
encoder_epochs: 10 epsilon: 8.0
epochs: 10
─────────────────────────────────────────────────────────
[23:07:57] INFO dataset: facebook loader.py:76
───────────────────────────────────────────────────────────
nodes: 26,406 mean degree: 80.21
edges: 2,117,924 median degree: 62.0
features: 501 train/val/test (%): 75.0/10.0/15.0
classes: 6 baseline acc (%): 22.93
───────────────────────────────────────────────────────────
INFO loading dataset...done in 0.28 s train.py:36
WARNING CUDA is not available, proceeding with CPU base.py:40
INFO delta = 1e-07 gap_edp.py:35
INFO noise scale: 0.9929 gap_edp.py:38
INFO calibrating noise to privacy budget...done in 0.04 s gap_edp.py:38
INFO pretraining encoder gap_inf.py:121
overal progress 10/10 epochs ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% 0:00:00
encoder/train/acc: 53.266 encoder/train/loss: 1.177 encoder/val/acc: 29.583 encoder/val/loss: 1.617
INFO computing aggregations...done in 0.03 s gap_inf.py:149
INFO training classifier base.py:86
<core.trainer.trainer.Trainer object at 0x17f636370>
overal progress 10/10 epochs ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% 0:00:00
train/acc: 65.835 train/loss: 0.945 val/acc: 28.712 val/loss: 1.570
INFO run 1 train.py:68
──────────────────────────
metric last mean
──────────────────────────
test/acc 33.04 33.04
──────────────────────────
test/acc last 33.04 mean 33.04
INFO Total running time: 0.92 seconds. train.py:121
INFO program arguments utils.py:156
─────────────────────────────────────────────────────────
method: gap-edp optimizer: adam
dataset: facebook learning_rate: 0.01
data_dir: ./datasets weight_decay: 0.0
delta: auto batch_size: full
hops: 2 full_batch_eval: True
hidden_dim: 16 device: cuda
encoder_layers: 2 val_interval: 1
base_layers: 1 seed: 12345
head_layers: 1 repeats: 1
combine: cat debug: False
activation: selu logger: csv
dropout: 0.0 project: GAP
batch_norm: True output_dir: ./output
encoder_epochs: 10 epsilon: 8.0
epochs: 10
─────────────────────────────────────────────────────────
[23:07:58] INFO dataset: facebook loader.py:76
───────────────────────────────────────────────────────────
nodes: 26,406 mean degree: 80.21
edges: 2,117,924 median degree: 62.0
features: 501 train/val/test (%): 75.0/10.0/15.0
classes: 6 baseline acc (%): 22.93
───────────────────────────────────────────────────────────
INFO loading dataset...done in 0.29 s train.py:36
WARNING CUDA is not available, proceeding with CPU base.py:40
INFO delta = 1e-07 gap_edp.py:35
INFO noise scale: 0.9929 gap_edp.py:38
INFO calibrating noise to privacy budget...done in 0.04 s gap_edp.py:38
INFO pretraining encoder gap_inf.py:121
overal progress 10/10 epochs ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% 0:00:00
encoder/train/acc: 53.266 encoder/train/loss: 1.177 encoder/val/acc: 29.583 encoder/val/loss: 1.617
INFO computing aggregations...done in 0.03 s gap_inf.py:149
INFO training classifier base.py:86
<core.trainer.trainer.Trainer object at 0x17f63dd90>
overal progress 10/10 epochs ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% 0:00:00
train/acc: 65.835 train/loss: 0.945 val/acc: 28.712 val/loss: 1.570
INFO run 1 train.py:68
──────────────────────────
metric last mean
──────────────────────────
test/acc 33.04 33.04
──────────────────────────
test/acc last 33.04 mean 33.04
INFO Total running time: 0.92 seconds. train.py:121
INFO program arguments utils.py:156
─────────────────────────────────────────────────────────
method: gap-edp optimizer: adam
dataset: facebook learning_rate: 0.01
data_dir: ./datasets weight_decay: 0.0
delta: auto batch_size: full
hops: 2 full_batch_eval: True
hidden_dim: 16 device: cuda
encoder_layers: 2 val_interval: 1
base_layers: 1 seed: 12345
head_layers: 1 repeats: 1
combine: cat debug: False
activation: selu logger: csv
dropout: 0.0 project: GAP
batch_norm: True output_dir: ./output
encoder_epochs: 10 epsilon: 8.0
epochs: 10
─────────────────────────────────────────────────────────
[23:07:59] INFO dataset: facebook loader.py:76
───────────────────────────────────────────────────────────
nodes: 26,406 mean degree: 80.21
edges: 2,117,924 median degree: 62.0
features: 501 train/val/test (%): 75.0/10.0/15.0
classes: 6 baseline acc (%): 22.93
───────────────────────────────────────────────────────────
INFO loading dataset...done in 0.28 s train.py:36
WARNING CUDA is not available, proceeding with CPU base.py:40
INFO delta = 1e-07 gap_edp.py:35
INFO noise scale: 0.9929 gap_edp.py:38
INFO calibrating noise to privacy budget...done in 0.04 s gap_edp.py:38
INFO pretraining encoder gap_inf.py:121
overal progress 10/10 epochs ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% 0:00:00
encoder/train/acc: 53.266 encoder/train/loss: 1.177 encoder/val/acc: 29.583 encoder/val/loss: 1.617
INFO computing aggregations...done in 0.03 s gap_inf.py:149
INFO training classifier base.py:86
<core.trainer.trainer.Trainer object at 0x17f500700>
overal progress 10/10 epochs ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% 0:00:00
train/acc: 65.835 train/loss: 0.945 val/acc: 28.712 val/loss: 1.570
INFO run 1 train.py:68
──────────────────────────
metric last mean
──────────────────────────
test/acc 33.04 33.04
──────────────────────────
test/acc last 33.04 mean 33.04
INFO Total running time: 0.92 seconds. train.py:121
INFO program arguments utils.py:156
─────────────────────────────────────────────────────────
method: gap-edp optimizer: adam
dataset: facebook learning_rate: 0.01
data_dir: ./datasets weight_decay: 0.0
delta: auto batch_size: full
hops: 2 full_batch_eval: True
hidden_dim: 16 device: cuda
encoder_layers: 2 val_interval: 1
base_layers: 1 seed: 12345
head_layers: 1 repeats: 1
combine: cat debug: False
activation: selu logger: csv
dropout: 0.0 project: GAP
batch_norm: True output_dir: ./output
encoder_epochs: 10 epsilon: 8.0
epochs: 10
─────────────────────────────────────────────────────────
INFO dataset: facebook loader.py:76
───────────────────────────────────────────────────────────
nodes: 26,406 mean degree: 80.21
edges: 2,117,924 median degree: 62.0
features: 501 train/val/test (%): 75.0/10.0/15.0
classes: 6 baseline acc (%): 22.93
───────────────────────────────────────────────────────────
INFO loading dataset...done in 0.28 s train.py:36
WARNING CUDA is not available, proceeding with CPU base.py:40
INFO delta = 1e-07 gap_edp.py:35
[23:08:00] INFO noise scale: 0.9929 gap_edp.py:38
INFO calibrating noise to privacy budget...done in 0.04 s gap_edp.py:38
INFO pretraining encoder gap_inf.py:121
overal progress 10/10 epochs ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% 0:00:00
encoder/train/acc: 53.266 encoder/train/loss: 1.177 encoder/val/acc: 29.583 encoder/val/loss: 1.617
INFO computing aggregations...done in 0.03 s gap_inf.py:149
INFO training classifier base.py:86
<core.trainer.trainer.Trainer object at 0x17f500790>
overal progress 10/10 epochs ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% 0:00:00
train/acc: 65.835 train/loss: 0.945 val/acc: 28.712 val/loss: 1.570
INFO run 1 train.py:68
──────────────────────────
metric last mean
──────────────────────────
test/acc 33.04 33.04
──────────────────────────
test/acc last 33.04 mean 33.04
INFO Total running time: 0.92 seconds. train.py:121
INFO program arguments utils.py:156
─────────────────────────────────────────────────────────
method: gap-edp optimizer: adam
dataset: facebook learning_rate: 0.01
data_dir: ./datasets weight_decay: 0.0
delta: auto batch_size: full
hops: 2 full_batch_eval: True
hidden_dim: 16 device: cuda
encoder_layers: 2 val_interval: 1
base_layers: 1 seed: 12345
head_layers: 1 repeats: 1
combine: cat debug: False
activation: selu logger: csv
dropout: 0.0 project: GAP
batch_norm: True output_dir: ./output
encoder_epochs: 10 epsilon: 8.0
epochs: 10
─────────────────────────────────────────────────────────
INFO dataset: facebook loader.py:76
───────────────────────────────────────────────────────────
nodes: 26,406 mean degree: 80.21
edges: 2,117,924 median degree: 62.0
features: 501 train/val/test (%): 75.0/10.0/15.0
classes: 6 baseline acc (%): 22.93
───────────────────────────────────────────────────────────
INFO loading dataset...done in 0.28 s train.py:36
WARNING CUDA is not available, proceeding with CPU base.py:40
INFO delta = 1e-07 gap_edp.py:35
INFO noise scale: 0.9929 gap_edp.py:38
INFO calibrating noise to privacy budget...done in 0.04 s gap_edp.py:38
INFO pretraining encoder gap_inf.py:121
overal progress 10/10 epochs ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% 0:00:00
encoder/train/acc: 53.266 encoder/train/loss: 1.177 encoder/val/acc: 29.583 encoder/val/loss: 1.617
[23:08:01] INFO computing aggregations...done in 0.03 s gap_inf.py:149
INFO training classifier base.py:86
<core.trainer.trainer.Trainer object at 0x17f60e7c0>
overal progress 10/10 epochs ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% 0:00:00
train/acc: 65.835 train/loss: 0.945 val/acc: 28.712 val/loss: 1.570
INFO run 1 train.py:68
──────────────────────────
metric last mean
──────────────────────────
test/acc 33.04 33.04
──────────────────────────
test/acc last 33.04 mean 33.04
INFO Total running time: 0.93 seconds. train.py:121
INFO program arguments utils.py:156
─────────────────────────────────────────────────────────
method: gap-edp optimizer: adam
dataset: facebook learning_rate: 0.01
data_dir: ./datasets weight_decay: 0.0
delta: auto batch_size: full
hops: 2 full_batch_eval: True
hidden_dim: 16 device: cuda
encoder_layers: 2 val_interval: 1
base_layers: 1 seed: 12345
head_layers: 1 repeats: 1
combine: cat debug: False
activation: selu logger: csv
dropout: 0.0 project: GAP
batch_norm: True output_dir: ./output
encoder_epochs: 10 epsilon: 8.0
epochs: 10
─────────────────────────────────────────────────────────
INFO dataset: facebook loader.py:76
───────────────────────────────────────────────────────────
nodes: 26,406 mean degree: 80.21
edges: 2,117,924 median degree: 62.0
features: 501 train/val/test (%): 75.0/10.0/15.0
classes: 6 baseline acc (%): 22.93
───────────────────────────────────────────────────────────