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2020-02-04 23:24:40, Epoch 30, Iteration 7, loss 0.030 (0.021), acc 98.077 (99.000) |
Target Label: 6, Poison label: 8, Prediction:6, Target's Score:[-41.536755, -13.445321, -32.296173, 1.2698102, -62.04788, -8.7922, 16.101109, -23.730879, 11.720934, -68.61154], Poisons' Predictions:[8, 8, 8, 8, 8] |
2020-02-04 23:24:41 Epoch 59, Val iteration 0, acc 92.400 (92.400) |
2020-02-04 23:24:47 Epoch 59, Val iteration 19, acc 93.400 (92.200) |
* Prec: 92.20000190734864 |
-------- |
DenseNet121 |
Using Adam for retraining |
Files already downloaded and verified |
2020-02-04 23:24:55, Epoch 0, Iteration 7, loss 0.408 (0.381), acc 92.308 (91.400) |
2020-02-04 23:24:56, Epoch 30, Iteration 7, loss 0.001 (0.003), acc 100.000 (100.000) |
Target Label: 6, Poison label: 8, Prediction:6, Target's Score:[-8.377616, -20.703318, -13.0848255, -5.3462615, -11.693057, -7.6048098, 6.06826, -34.61667, 3.4599495, -22.901491], Poisons' Predictions:[8, 8, 8, 8, 8] |
2020-02-04 23:25:07 Epoch 59, Val iteration 0, acc 94.000 (94.000) |
2020-02-04 23:25:31 Epoch 59, Val iteration 19, acc 93.200 (92.990) |
* Prec: 92.99000282287598 |
-------- |
------SUMMARY------ |
TIME ELAPSED (mins): 118 |
TARGET INDEX: 40 |
DPN92 0 |
SENet18 0 |
ResNet50 0 |
ResNeXt29_2x64d 0 |
GoogLeNet 0 |
MobileNetV2 0 |
ResNet18 0 |
DenseNet121 0 |
Namespace(chk_path='chk-black-ourmean/', chk_subdir='poisons', device='cuda', dset_path='datasets', end2end=False, eval_poison_path='', gpu='9', lr_decay_epoch=[30, 45], mode='mean', model_resume_path='model-chks', nearest=False, net_repeat=1, num_per_class=50, original_grad=True, poison_decay_ites=[], poison_decay_ratio=0.1, poison_epsilon=0.1, poison_ites=4000, poison_label=8, poison_lr=0.04, poison_momentum=0.9, poison_num=5, poison_opt='adam', resume_poison_ite=0, retrain_bsize=64, retrain_epochs=60, retrain_lr=0.1, retrain_momentum=0.9, retrain_opt='adam', retrain_wd=0, subs_chk_name=['ckpt-%s-4800-dp0.200-droplayer0.000-seed1226.t7', 'ckpt-%s-4800-dp0.250-droplayer0.000-seed1226.t7', 'ckpt-%s-4800-dp0.300-droplayer0.000.t7'], subs_dp=[0.2, 0.25, 0.3], subset_group=0, substitute_nets=['DPN92', 'SENet18', 'ResNet50', 'ResNeXt29_2x64d', 'GoogLeNet', 'MobileNetV2'], target_index=41, target_label=6, target_net=['DPN92', 'SENet18', 'ResNet50', 'ResNeXt29_2x64d', 'GoogLeNet', 'MobileNetV2', 'ResNet18', 'DenseNet121'], test_chk_name='ckpt-%s-4800.t7', tol=1e-06, train_data_path='datasets/CIFAR10_TRAIN_Split.pth') |
Path: chk-black-ourmean/mean/4000/41 |
Selected base image indices: [213, 225, 227, 247, 249] |
2020-02-04 21:22:24 Iteration 0 Training Loss: 1.116e+00 Loss in Target Net: 4.465e-01 |
2020-02-04 21:23:42 Iteration 50 Training Loss: 1.074e-01 Loss in Target Net: 1.836e-02 |
2020-02-04 21:24:59 Iteration 100 Training Loss: 9.360e-02 Loss in Target Net: 1.217e-02 |
2020-02-04 21:26:17 Iteration 150 Training Loss: 9.220e-02 Loss in Target Net: 1.191e-02 |
2020-02-04 21:27:35 Iteration 200 Training Loss: 7.975e-02 Loss in Target Net: 1.293e-02 |
2020-02-04 21:28:54 Iteration 250 Training Loss: 9.216e-02 Loss in Target Net: 2.390e-02 |
2020-02-04 21:30:13 Iteration 300 Training Loss: 8.530e-02 Loss in Target Net: 1.511e-02 |
2020-02-04 21:31:31 Iteration 350 Training Loss: 8.333e-02 Loss in Target Net: 1.283e-02 |
2020-02-04 21:32:50 Iteration 400 Training Loss: 7.994e-02 Loss in Target Net: 2.285e-02 |
2020-02-04 21:34:09 Iteration 450 Training Loss: 8.384e-02 Loss in Target Net: 2.203e-02 |
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2020-02-04 21:36:48 Iteration 550 Training Loss: 8.288e-02 Loss in Target Net: 2.138e-02 |
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2020-02-04 21:52:09 Iteration 1050 Training Loss: 8.470e-02 Loss in Target Net: 1.359e-02 |
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2020-02-04 23:05:35 Iteration 3450 Training Loss: 8.360e-02 Loss in Target Net: 1.052e-02 |
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