hello
hello
Labels

📌S Retain class distribution for seed 2:
Class 0: 4500
Class 1: 4500
Class 2: 4500
Class 3: 4500
Class 4: 4500
Class 5: 4500
Class 6: 4500
Class 7: 4500
Class 8: 4500
Class 9: 4500

📌S Forget class distribution for seed 2:
Class 0: 500
Class 1: 500
Class 2: 500
Class 3: 500
Class 4: 500
Class 5: 500
Class 6: 500
Class 7: 500
Class 8: 500
Class 9: 500
780909900

📊 Updated class distribution:
Retain set:
  Class 0: 4625
  Class 1: 4625
  Class 2: 4625
  Class 3: 4625
  Class 4: 4625
  Class 5: 4625
  Class 6: 4625
  Class 7: 4625
  Class 8: 4625
  Class 9: 4625
Forget set:
  Class 0: 375
  Class 1: 375
  Class 2: 375
  Class 3: 375
  Class 4: 375
  Class 5: 375
  Class 6: 375
  Class 7: 375
  Class 8: 375
  Class 9: 375
hello
hello
⚠️ Warning: Retain train loader may not be shuffled.
Training Epoch: 1 [256/46250]	Loss: 2.4121	LR: 0.000000
Training Epoch: 1 [512/46250]	Loss: 2.4178	LR: 0.000552
Training Epoch: 1 [768/46250]	Loss: 2.4655	LR: 0.001105
Training Epoch: 1 [1024/46250]	Loss: 2.4010	LR: 0.001657
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Training Epoch: 1 [10496/46250]	Loss: 1.6331	LR: 0.022099
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Training Epoch: 1 [11008/46250]	Loss: 1.7903	LR: 0.023204
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Training Epoch: 1 [11520/46250]	Loss: 1.4872	LR: 0.024309
Training Epoch: 1 [11776/46250]	Loss: 1.7586	LR: 0.024862
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Training Epoch: 1 [25088/46250]	Loss: 1.5040	LR: 0.053591
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Training Epoch: 1 [25600/46250]	Loss: 1.5460	LR: 0.054696
Training Epoch: 1 [25856/46250]	Loss: 1.3708	LR: 0.055249
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Training Epoch: 1 [28416/46250]	Loss: 1.7375	LR: 0.060773
Training Epoch: 1 [28672/46250]	Loss: 1.4225	LR: 0.061326
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Training Epoch: 1 [29184/46250]	Loss: 1.3870	LR: 0.062431
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Training Epoch: 1 [29952/46250]	Loss: 1.3098	LR: 0.064088
Training Epoch: 1 [30208/46250]	Loss: 1.3082	LR: 0.064641
Training Epoch: 1 [30464/46250]	Loss: 1.4209	LR: 0.065193
Training Epoch: 1 [30720/46250]	Loss: 1.5085	LR: 0.065746
Training Epoch: 1 [30976/46250]	Loss: 1.5362	LR: 0.066298
Training Epoch: 1 [31232/46250]	Loss: 1.4777	LR: 0.066851
Training Epoch: 1 [31488/46250]	Loss: 1.4752	LR: 0.067403
Training Epoch: 1 [31744/46250]	Loss: 1.4152	LR: 0.067956
Training Epoch: 1 [32000/46250]	Loss: 1.5236	LR: 0.068508
Training Epoch: 1 [32256/46250]	Loss: 1.2907	LR: 0.069061
Training Epoch: 1 [32512/46250]	Loss: 1.4144	LR: 0.069613
Training Epoch: 1 [32768/46250]	Loss: 1.3223	LR: 0.070166
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Training Epoch: 1 [33280/46250]	Loss: 1.3792	LR: 0.071271
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Training Epoch: 1 [35328/46250]	Loss: 1.1731	LR: 0.075691
Training Epoch: 1 [35584/46250]	Loss: 1.4628	LR: 0.076243
Training Epoch: 1 [35840/46250]	Loss: 1.3140	LR: 0.076796
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Training Epoch: 1 [36352/46250]	Loss: 1.3337	LR: 0.077901
Training Epoch: 1 [36608/46250]	Loss: 1.2880	LR: 0.078453
Training Epoch: 1 [36864/46250]	Loss: 1.2482	LR: 0.079006
Training Epoch: 1 [37120/46250]	Loss: 1.4467	LR: 0.079558
Training Epoch: 1 [37376/46250]	Loss: 1.2778	LR: 0.080110
Training Epoch: 1 [37632/46250]	Loss: 1.0800	LR: 0.080663
Training Epoch: 1 [37888/46250]	Loss: 1.2217	LR: 0.081215
Training Epoch: 1 [38144/46250]	Loss: 1.2721	LR: 0.081768
Training Epoch: 1 [38400/46250]	Loss: 1.3375	LR: 0.082320
Training Epoch: 1 [38656/46250]	Loss: 1.1610	LR: 0.082873
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Training Epoch: 1 [39168/46250]	Loss: 1.3079	LR: 0.083978
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Training Epoch: 1 [39680/46250]	Loss: 1.3736	LR: 0.085083
Training Epoch: 1 [39936/46250]	Loss: 1.1883	LR: 0.085635
Training Epoch: 1 [40192/46250]	Loss: 1.2198	LR: 0.086188
Training Epoch: 1 [40448/46250]	Loss: 1.2721	LR: 0.086740
Training Epoch: 1 [40704/46250]	Loss: 1.1862	LR: 0.087293
Training Epoch: 1 [40960/46250]	Loss: 1.0727	LR: 0.087845
Training Epoch: 1 [41216/46250]	Loss: 1.2388	LR: 0.088398
Training Epoch: 1 [41472/46250]	Loss: 1.2503	LR: 0.088950
Training Epoch: 1 [41728/46250]	Loss: 1.2786	LR: 0.089503
Training Epoch: 1 [41984/46250]	Loss: 1.3741	LR: 0.090055
Training Epoch: 1 [42240/46250]	Loss: 1.3986	LR: 0.090608
Training Epoch: 1 [42496/46250]	Loss: 1.4274	LR: 0.091160
Training Epoch: 1 [42752/46250]	Loss: 1.2469	LR: 0.091713
Training Epoch: 1 [43008/46250]	Loss: 1.3790	LR: 0.092265
Training Epoch: 1 [43264/46250]	Loss: 1.2979	LR: 0.092818
Training Epoch: 1 [43520/46250]	Loss: 1.1741	LR: 0.093370
Training Epoch: 1 [43776/46250]	Loss: 1.3382	LR: 0.093923
Training Epoch: 1 [44032/46250]	Loss: 1.1956	LR: 0.094475
Training Epoch: 1 [44288/46250]	Loss: 1.0551	LR: 0.095028
Training Epoch: 1 [44544/46250]	Loss: 1.2995	LR: 0.095580
Training Epoch: 1 [44800/46250]	Loss: 1.1240	LR: 0.096133
Training Epoch: 1 [45056/46250]	Loss: 1.4290	LR: 0.096685
Training Epoch: 1 [45312/46250]	Loss: 1.2371	LR: 0.097238
Training Epoch: 1 [45568/46250]	Loss: 1.1511	LR: 0.097790
Training Epoch: 1 [45824/46250]	Loss: 1.0115	LR: 0.098343
Training Epoch: 1 [46080/46250]	Loss: 1.2473	LR: 0.098895
Training Epoch: 1 [46250/46250]	Loss: 1.1510	LR: 0.099448
Epoch 1 - Average Train Loss: 1.5642, Train Accuracy: 0.4362
Epoch 1 training time consumed: 18.84s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0078, Accuracy: 0.4071, Time consumed:1.02s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_11h_19m_14s/ResNet18-Cifar10-seed2-ret25-1-best.pth
Training Epoch: 2 [256/46250]	Loss: 1.1190	LR: 0.020000
Training Epoch: 2 [512/46250]	Loss: 1.0805	LR: 0.020000
Training Epoch: 2 [768/46250]	Loss: 1.0508	LR: 0.020000
Training Epoch: 2 [1024/46250]	Loss: 1.1841	LR: 0.020000
Training Epoch: 2 [1280/46250]	Loss: 1.0492	LR: 0.020000
Training Epoch: 2 [1536/46250]	Loss: 1.0980	LR: 0.020000
Training Epoch: 2 [1792/46250]	Loss: 1.1738	LR: 0.020000
Training Epoch: 2 [2048/46250]	Loss: 1.0599	LR: 0.020000
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Training Epoch: 2 [22784/46250]	Loss: 0.7794	LR: 0.020000
Training Epoch: 2 [23040/46250]	Loss: 0.8176	LR: 0.020000
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Training Epoch: 2 [29952/46250]	Loss: 0.7171	LR: 0.020000
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Training Epoch: 2 [41216/46250]	Loss: 0.8042	LR: 0.020000
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Training Epoch: 2 [41984/46250]	Loss: 0.6382	LR: 0.020000
Training Epoch: 2 [42240/46250]	Loss: 0.7612	LR: 0.020000
Training Epoch: 2 [42496/46250]	Loss: 0.7094	LR: 0.020000
Training Epoch: 2 [42752/46250]	Loss: 0.7958	LR: 0.020000
Training Epoch: 2 [43008/46250]	Loss: 0.7001	LR: 0.020000
Training Epoch: 2 [43264/46250]	Loss: 0.7459	LR: 0.020000
Training Epoch: 2 [43520/46250]	Loss: 0.7927	LR: 0.020000
Training Epoch: 2 [43776/46250]	Loss: 0.6219	LR: 0.020000
Training Epoch: 2 [44032/46250]	Loss: 0.6233	LR: 0.020000
Training Epoch: 2 [44288/46250]	Loss: 0.5894	LR: 0.020000
Training Epoch: 2 [44544/46250]	Loss: 0.6124	LR: 0.020000
Training Epoch: 2 [44800/46250]	Loss: 0.7769	LR: 0.020000
Training Epoch: 2 [45056/46250]	Loss: 0.6477	LR: 0.020000
Training Epoch: 2 [45312/46250]	Loss: 0.7576	LR: 0.020000
Training Epoch: 2 [45568/46250]	Loss: 0.7503	LR: 0.020000
Training Epoch: 2 [45824/46250]	Loss: 0.6646	LR: 0.020000
Training Epoch: 2 [46080/46250]	Loss: 0.6571	LR: 0.020000
Training Epoch: 2 [46250/46250]	Loss: 0.7260	LR: 0.020000
Epoch 2 - Average Train Loss: 0.8071, Train Accuracy: 0.7112
Epoch 2 training time consumed: 17.89s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0034, Accuracy: 0.7015, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_11h_19m_14s/ResNet18-Cifar10-seed2-ret25-2-best.pth
Training Epoch: 3 [256/46250]	Loss: 0.6103	LR: 0.020000
Training Epoch: 3 [512/46250]	Loss: 0.7250	LR: 0.020000
Training Epoch: 3 [768/46250]	Loss: 0.6086	LR: 0.020000
Training Epoch: 3 [1024/46250]	Loss: 0.4926	LR: 0.020000
Training Epoch: 3 [1280/46250]	Loss: 0.7073	LR: 0.020000
Training Epoch: 3 [1536/46250]	Loss: 0.5368	LR: 0.020000
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Training Epoch: 3 [40192/46250]	Loss: 0.5580	LR: 0.020000
Training Epoch: 3 [40448/46250]	Loss: 0.6046	LR: 0.020000
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Training Epoch: 3 [42496/46250]	Loss: 0.4548	LR: 0.020000
Training Epoch: 3 [42752/46250]	Loss: 0.6593	LR: 0.020000
Training Epoch: 3 [43008/46250]	Loss: 0.5662	LR: 0.020000
Training Epoch: 3 [43264/46250]	Loss: 0.6471	LR: 0.020000
Training Epoch: 3 [43520/46250]	Loss: 0.5620	LR: 0.020000
Training Epoch: 3 [43776/46250]	Loss: 0.6336	LR: 0.020000
Training Epoch: 3 [44032/46250]	Loss: 0.5493	LR: 0.020000
Training Epoch: 3 [44288/46250]	Loss: 0.5473	LR: 0.020000
Training Epoch: 3 [44544/46250]	Loss: 0.6221	LR: 0.020000
Training Epoch: 3 [44800/46250]	Loss: 0.6060	LR: 0.020000
Training Epoch: 3 [45056/46250]	Loss: 0.5350	LR: 0.020000
Training Epoch: 3 [45312/46250]	Loss: 0.6031	LR: 0.020000
Training Epoch: 3 [45568/46250]	Loss: 0.5852	LR: 0.020000
Training Epoch: 3 [45824/46250]	Loss: 0.5252	LR: 0.020000
Training Epoch: 3 [46080/46250]	Loss: 0.6506	LR: 0.020000
Training Epoch: 3 [46250/46250]	Loss: 0.6210	LR: 0.020000
Epoch 3 - Average Train Loss: 0.6030, Train Accuracy: 0.7860
Epoch 3 training time consumed: 18.15s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0034, Accuracy: 0.7151, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_11h_19m_14s/ResNet18-Cifar10-seed2-ret25-3-best.pth
Training Epoch: 4 [256/46250]	Loss: 0.4590	LR: 0.020000
Training Epoch: 4 [512/46250]	Loss: 0.4513	LR: 0.020000
Training Epoch: 4 [768/46250]	Loss: 0.5442	LR: 0.020000
Training Epoch: 4 [1024/46250]	Loss: 0.4083	LR: 0.020000
Training Epoch: 4 [1280/46250]	Loss: 0.5296	LR: 0.020000
Training Epoch: 4 [1536/46250]	Loss: 0.4285	LR: 0.020000
Training Epoch: 4 [1792/46250]	Loss: 0.5080	LR: 0.020000
Training Epoch: 4 [2048/46250]	Loss: 0.4459	LR: 0.020000
Training Epoch: 4 [2304/46250]	Loss: 0.5579	LR: 0.020000
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Training Epoch: 4 [46080/46250]	Loss: 0.4900	LR: 0.020000
Training Epoch: 4 [46250/46250]	Loss: 0.4073	LR: 0.020000
Epoch 4 - Average Train Loss: 0.4677, Train Accuracy: 0.8371
Epoch 4 training time consumed: 18.07s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0035, Accuracy: 0.7236, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_11h_19m_14s/ResNet18-Cifar10-seed2-ret25-4-best.pth
Training Epoch: 5 [256/46250]	Loss: 0.2670	LR: 0.004000
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Training Epoch: 5 [28928/46250]	Loss: 0.1570	LR: 0.004000
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Training Epoch: 5 [35072/46250]	Loss: 0.1966	LR: 0.004000
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Training Epoch: 5 [37376/46250]	Loss: 0.1699	LR: 0.004000
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Training Epoch: 5 [37888/46250]	Loss: 0.2109	LR: 0.004000
Training Epoch: 5 [38144/46250]	Loss: 0.1711	LR: 0.004000
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Training Epoch: 5 [40192/46250]	Loss: 0.1860	LR: 0.004000
Training Epoch: 5 [40448/46250]	Loss: 0.2149	LR: 0.004000
Training Epoch: 5 [40704/46250]	Loss: 0.1681	LR: 0.004000
Training Epoch: 5 [40960/46250]	Loss: 0.2463	LR: 0.004000
Training Epoch: 5 [41216/46250]	Loss: 0.1556	LR: 0.004000
Training Epoch: 5 [41472/46250]	Loss: 0.1555	LR: 0.004000
Training Epoch: 5 [41728/46250]	Loss: 0.2279	LR: 0.004000
Training Epoch: 5 [41984/46250]	Loss: 0.2166	LR: 0.004000
Training Epoch: 5 [42240/46250]	Loss: 0.1605	LR: 0.004000
Training Epoch: 5 [42496/46250]	Loss: 0.1826	LR: 0.004000
Training Epoch: 5 [42752/46250]	Loss: 0.2333	LR: 0.004000
Training Epoch: 5 [43008/46250]	Loss: 0.1731	LR: 0.004000
Training Epoch: 5 [43264/46250]	Loss: 0.1771	LR: 0.004000
Training Epoch: 5 [43520/46250]	Loss: 0.2355	LR: 0.004000
Training Epoch: 5 [43776/46250]	Loss: 0.1741	LR: 0.004000
Training Epoch: 5 [44032/46250]	Loss: 0.1482	LR: 0.004000
Training Epoch: 5 [44288/46250]	Loss: 0.2106	LR: 0.004000
Training Epoch: 5 [44544/46250]	Loss: 0.2032	LR: 0.004000
Training Epoch: 5 [44800/46250]	Loss: 0.2374	LR: 0.004000
Training Epoch: 5 [45056/46250]	Loss: 0.1870	LR: 0.004000
Training Epoch: 5 [45312/46250]	Loss: 0.2198	LR: 0.004000
Training Epoch: 5 [45568/46250]	Loss: 0.2044	LR: 0.004000
Training Epoch: 5 [45824/46250]	Loss: 0.1717	LR: 0.004000
Training Epoch: 5 [46080/46250]	Loss: 0.1466	LR: 0.004000
Training Epoch: 5 [46250/46250]	Loss: 0.1990	LR: 0.004000
Epoch 5 - Average Train Loss: 0.2216, Train Accuracy: 0.9283
Epoch 5 training time consumed: 18.33s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0022, Accuracy: 0.8182, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_11h_19m_14s/ResNet18-Cifar10-seed2-ret25-5-best.pth
Training Epoch: 6 [256/46250]	Loss: 0.1363	LR: 0.004000
Training Epoch: 6 [512/46250]	Loss: 0.1499	LR: 0.004000
Training Epoch: 6 [768/46250]	Loss: 0.1687	LR: 0.004000
Training Epoch: 6 [1024/46250]	Loss: 0.1445	LR: 0.004000
Training Epoch: 6 [1280/46250]	Loss: 0.1423	LR: 0.004000
Training Epoch: 6 [1536/46250]	Loss: 0.1160	LR: 0.004000
Training Epoch: 6 [1792/46250]	Loss: 0.1641	LR: 0.004000
Training Epoch: 6 [2048/46250]	Loss: 0.1077	LR: 0.004000
Training Epoch: 6 [2304/46250]	Loss: 0.1176	LR: 0.004000
Training Epoch: 6 [2560/46250]	Loss: 0.1570	LR: 0.004000
Training Epoch: 6 [2816/46250]	Loss: 0.1105	LR: 0.004000
Training Epoch: 6 [3072/46250]	Loss: 0.1014	LR: 0.004000
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Training Epoch: 6 [3584/46250]	Loss: 0.1037	LR: 0.004000
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Training Epoch: 6 [4096/46250]	Loss: 0.1095	LR: 0.004000
Training Epoch: 6 [4352/46250]	Loss: 0.1711	LR: 0.004000
Training Epoch: 6 [4608/46250]	Loss: 0.1020	LR: 0.004000
Training Epoch: 6 [4864/46250]	Loss: 0.1249	LR: 0.004000
Training Epoch: 6 [5120/46250]	Loss: 0.1119	LR: 0.004000
Training Epoch: 6 [5376/46250]	Loss: 0.1208	LR: 0.004000
Training Epoch: 6 [5632/46250]	Loss: 0.1565	LR: 0.004000
Training Epoch: 6 [5888/46250]	Loss: 0.1078	LR: 0.004000
Training Epoch: 6 [6144/46250]	Loss: 0.0911	LR: 0.004000
Training Epoch: 6 [6400/46250]	Loss: 0.1084	LR: 0.004000
Training Epoch: 6 [6656/46250]	Loss: 0.1106	LR: 0.004000
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Training Epoch: 6 [7936/46250]	Loss: 0.1356	LR: 0.004000
Training Epoch: 6 [8192/46250]	Loss: 0.1405	LR: 0.004000
Training Epoch: 6 [8448/46250]	Loss: 0.1023	LR: 0.004000
Training Epoch: 6 [8704/46250]	Loss: 0.1195	LR: 0.004000
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Training Epoch: 6 [10240/46250]	Loss: 0.1354	LR: 0.004000
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Training Epoch: 6 [11008/46250]	Loss: 0.1249	LR: 0.004000
Training Epoch: 6 [11264/46250]	Loss: 0.1496	LR: 0.004000
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Training Epoch: 6 [12032/46250]	Loss: 0.1184	LR: 0.004000
Training Epoch: 6 [12288/46250]	Loss: 0.1152	LR: 0.004000
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Training Epoch: 6 [19712/46250]	Loss: 0.1192	LR: 0.004000
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Training Epoch: 6 [28672/46250]	Loss: 0.1215	LR: 0.004000
Training Epoch: 6 [28928/46250]	Loss: 0.1356	LR: 0.004000
Training Epoch: 6 [29184/46250]	Loss: 0.1074	LR: 0.004000
Training Epoch: 6 [29440/46250]	Loss: 0.1242	LR: 0.004000
Training Epoch: 6 [29696/46250]	Loss: 0.0748	LR: 0.004000
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Training Epoch: 6 [30208/46250]	Loss: 0.1059	LR: 0.004000
Training Epoch: 6 [30464/46250]	Loss: 0.0812	LR: 0.004000
Training Epoch: 6 [30720/46250]	Loss: 0.1002	LR: 0.004000
Training Epoch: 6 [30976/46250]	Loss: 0.1420	LR: 0.004000
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Training Epoch: 6 [32256/46250]	Loss: 0.1195	LR: 0.004000
Training Epoch: 6 [32512/46250]	Loss: 0.1187	LR: 0.004000
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Training Epoch: 6 [34816/46250]	Loss: 0.1348	LR: 0.004000
Training Epoch: 6 [35072/46250]	Loss: 0.1103	LR: 0.004000
Training Epoch: 6 [35328/46250]	Loss: 0.0958	LR: 0.004000
Training Epoch: 6 [35584/46250]	Loss: 0.0904	LR: 0.004000
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Training Epoch: 6 [36352/46250]	Loss: 0.1821	LR: 0.004000
Training Epoch: 6 [36608/46250]	Loss: 0.0960	LR: 0.004000
Training Epoch: 6 [36864/46250]	Loss: 0.1149	LR: 0.004000
Training Epoch: 6 [37120/46250]	Loss: 0.0930	LR: 0.004000
Training Epoch: 6 [37376/46250]	Loss: 0.1317	LR: 0.004000
Training Epoch: 6 [37632/46250]	Loss: 0.1300	LR: 0.004000
Training Epoch: 6 [37888/46250]	Loss: 0.1833	LR: 0.004000
Training Epoch: 6 [38144/46250]	Loss: 0.1360	LR: 0.004000
Training Epoch: 6 [38400/46250]	Loss: 0.1239	LR: 0.004000
Training Epoch: 6 [38656/46250]	Loss: 0.1161	LR: 0.004000
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Training Epoch: 6 [39168/46250]	Loss: 0.1817	LR: 0.004000
Training Epoch: 6 [39424/46250]	Loss: 0.1277	LR: 0.004000
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Training Epoch: 6 [39936/46250]	Loss: 0.1397	LR: 0.004000
Training Epoch: 6 [40192/46250]	Loss: 0.0921	LR: 0.004000
Training Epoch: 6 [40448/46250]	Loss: 0.1404	LR: 0.004000
Training Epoch: 6 [40704/46250]	Loss: 0.1177	LR: 0.004000
Training Epoch: 6 [40960/46250]	Loss: 0.1578	LR: 0.004000
Training Epoch: 6 [41216/46250]	Loss: 0.1355	LR: 0.004000
Training Epoch: 6 [41472/46250]	Loss: 0.0975	LR: 0.004000
Training Epoch: 6 [41728/46250]	Loss: 0.1056	LR: 0.004000
Training Epoch: 6 [41984/46250]	Loss: 0.1352	LR: 0.004000
Training Epoch: 6 [42240/46250]	Loss: 0.0998	LR: 0.004000
Training Epoch: 6 [42496/46250]	Loss: 0.1107	LR: 0.004000
Training Epoch: 6 [42752/46250]	Loss: 0.1523	LR: 0.004000
Training Epoch: 6 [43008/46250]	Loss: 0.0948	LR: 0.004000
Training Epoch: 6 [43264/46250]	Loss: 0.0817	LR: 0.004000
Training Epoch: 6 [43520/46250]	Loss: 0.0896	LR: 0.004000
Training Epoch: 6 [43776/46250]	Loss: 0.1165	LR: 0.004000
Training Epoch: 6 [44032/46250]	Loss: 0.1182	LR: 0.004000
Training Epoch: 6 [44288/46250]	Loss: 0.0885	LR: 0.004000
Training Epoch: 6 [44544/46250]	Loss: 0.1506	LR: 0.004000
Training Epoch: 6 [44800/46250]	Loss: 0.0826	LR: 0.004000
Training Epoch: 6 [45056/46250]	Loss: 0.1216	LR: 0.004000
Training Epoch: 6 [45312/46250]	Loss: 0.1348	LR: 0.004000
Training Epoch: 6 [45568/46250]	Loss: 0.1223	LR: 0.004000
Training Epoch: 6 [45824/46250]	Loss: 0.1022	LR: 0.004000
Training Epoch: 6 [46080/46250]	Loss: 0.0872	LR: 0.004000
Training Epoch: 6 [46250/46250]	Loss: 0.1449	LR: 0.004000
Epoch 6 - Average Train Loss: 0.1233, Train Accuracy: 0.9649
Epoch 6 training time consumed: 18.21s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0023, Accuracy: 0.8191, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_11h_19m_14s/ResNet18-Cifar10-seed2-ret25-6-best.pth
Training Epoch: 7 [256/46250]	Loss: 0.0601	LR: 0.004000
Training Epoch: 7 [512/46250]	Loss: 0.0643	LR: 0.004000
Training Epoch: 7 [768/46250]	Loss: 0.0539	LR: 0.004000
Training Epoch: 7 [1024/46250]	Loss: 0.0641	LR: 0.004000
Training Epoch: 7 [1280/46250]	Loss: 0.0761	LR: 0.004000
Training Epoch: 7 [1536/46250]	Loss: 0.0624	LR: 0.004000
Training Epoch: 7 [1792/46250]	Loss: 0.0730	LR: 0.004000
Training Epoch: 7 [2048/46250]	Loss: 0.0619	LR: 0.004000
Training Epoch: 7 [2304/46250]	Loss: 0.0739	LR: 0.004000
Training Epoch: 7 [2560/46250]	Loss: 0.0531	LR: 0.004000
Training Epoch: 7 [2816/46250]	Loss: 0.0400	LR: 0.004000
Training Epoch: 7 [3072/46250]	Loss: 0.0490	LR: 0.004000
Training Epoch: 7 [3328/46250]	Loss: 0.0835	LR: 0.004000
Training Epoch: 7 [3584/46250]	Loss: 0.0494	LR: 0.004000
Training Epoch: 7 [3840/46250]	Loss: 0.0338	LR: 0.004000
Training Epoch: 7 [4096/46250]	Loss: 0.0668	LR: 0.004000
Training Epoch: 7 [4352/46250]	Loss: 0.0486	LR: 0.004000
Training Epoch: 7 [4608/46250]	Loss: 0.0754	LR: 0.004000
Training Epoch: 7 [4864/46250]	Loss: 0.0457	LR: 0.004000
Training Epoch: 7 [5120/46250]	Loss: 0.0392	LR: 0.004000
Training Epoch: 7 [5376/46250]	Loss: 0.0601	LR: 0.004000
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Training Epoch: 7 [6144/46250]	Loss: 0.1165	LR: 0.004000
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Training Epoch: 7 [8192/46250]	Loss: 0.0468	LR: 0.004000
Training Epoch: 7 [8448/46250]	Loss: 0.0600	LR: 0.004000
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Training Epoch: 7 [40448/46250]	Loss: 0.0855	LR: 0.004000
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Training Epoch: 7 [43520/46250]	Loss: 0.0657	LR: 0.004000
Training Epoch: 7 [43776/46250]	Loss: 0.0438	LR: 0.004000
Training Epoch: 7 [44032/46250]	Loss: 0.0767	LR: 0.004000
Training Epoch: 7 [44288/46250]	Loss: 0.0408	LR: 0.004000
Training Epoch: 7 [44544/46250]	Loss: 0.0726	LR: 0.004000
Training Epoch: 7 [44800/46250]	Loss: 0.0756	LR: 0.004000
Training Epoch: 7 [45056/46250]	Loss: 0.0692	LR: 0.004000
Training Epoch: 7 [45312/46250]	Loss: 0.0434	LR: 0.004000
Training Epoch: 7 [45568/46250]	Loss: 0.0577	LR: 0.004000
Training Epoch: 7 [45824/46250]	Loss: 0.0423	LR: 0.004000
Training Epoch: 7 [46080/46250]	Loss: 0.0682	LR: 0.004000
Training Epoch: 7 [46250/46250]	Loss: 0.1100	LR: 0.004000
Epoch 7 - Average Train Loss: 0.0601, Train Accuracy: 0.9872
Epoch 7 training time consumed: 18.06s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0027, Accuracy: 0.8134, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_11h_19m_14s/ResNet18-Cifar10-seed2-ret25-7-best.pth
Training Epoch: 8 [256/46250]	Loss: 0.0218	LR: 0.004000
Training Epoch: 8 [512/46250]	Loss: 0.0320	LR: 0.004000
Training Epoch: 8 [768/46250]	Loss: 0.0307	LR: 0.004000
Training Epoch: 8 [1024/46250]	Loss: 0.0341	LR: 0.004000
Training Epoch: 8 [1280/46250]	Loss: 0.0293	LR: 0.004000
Training Epoch: 8 [1536/46250]	Loss: 0.0422	LR: 0.004000
Training Epoch: 8 [1792/46250]	Loss: 0.0351	LR: 0.004000
Training Epoch: 8 [2048/46250]	Loss: 0.0388	LR: 0.004000
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Training Epoch: 8 [2560/46250]	Loss: 0.0373	LR: 0.004000
Training Epoch: 8 [2816/46250]	Loss: 0.0354	LR: 0.004000
Training Epoch: 8 [3072/46250]	Loss: 0.0288	LR: 0.004000
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Training Epoch: 8 [5888/46250]	Loss: 0.0351	LR: 0.004000
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Training Epoch: 8 [9216/46250]	Loss: 0.0291	LR: 0.004000
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Training Epoch: 8 [9984/46250]	Loss: 0.0256	LR: 0.004000
Training Epoch: 8 [10240/46250]	Loss: 0.0218	LR: 0.004000
Training Epoch: 8 [10496/46250]	Loss: 0.0291	LR: 0.004000
Training Epoch: 8 [10752/46250]	Loss: 0.0205	LR: 0.004000
Training Epoch: 8 [11008/46250]	Loss: 0.0283	LR: 0.004000
Training Epoch: 8 [11264/46250]	Loss: 0.0374	LR: 0.004000
Training Epoch: 8 [11520/46250]	Loss: 0.0329	LR: 0.004000
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Training Epoch: 8 [12032/46250]	Loss: 0.0196	LR: 0.004000
Training Epoch: 8 [12288/46250]	Loss: 0.0204	LR: 0.004000
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Training Epoch: 8 [12800/46250]	Loss: 0.0226	LR: 0.004000
Training Epoch: 8 [13056/46250]	Loss: 0.0227	LR: 0.004000
Training Epoch: 8 [13312/46250]	Loss: 0.0268	LR: 0.004000
Training Epoch: 8 [13568/46250]	Loss: 0.0253	LR: 0.004000
Training Epoch: 8 [13824/46250]	Loss: 0.0190	LR: 0.004000
Training Epoch: 8 [14080/46250]	Loss: 0.0302	LR: 0.004000
Training Epoch: 8 [14336/46250]	Loss: 0.0269	LR: 0.004000
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Training Epoch: 8 [16128/46250]	Loss: 0.0224	LR: 0.004000
Training Epoch: 8 [16384/46250]	Loss: 0.0204	LR: 0.004000
Training Epoch: 8 [16640/46250]	Loss: 0.0185	LR: 0.004000
Training Epoch: 8 [16896/46250]	Loss: 0.0173	LR: 0.004000
Training Epoch: 8 [17152/46250]	Loss: 0.0125	LR: 0.004000
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Training Epoch: 8 [19456/46250]	Loss: 0.0230	LR: 0.004000
Training Epoch: 8 [19712/46250]	Loss: 0.0275	LR: 0.004000
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Training Epoch: 8 [20224/46250]	Loss: 0.0190	LR: 0.004000
Training Epoch: 8 [20480/46250]	Loss: 0.0484	LR: 0.004000
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Training Epoch: 8 [22272/46250]	Loss: 0.0293	LR: 0.004000
Training Epoch: 8 [22528/46250]	Loss: 0.0288	LR: 0.004000
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Training Epoch: 8 [24576/46250]	Loss: 0.0261	LR: 0.004000
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Training Epoch: 8 [25088/46250]	Loss: 0.0281	LR: 0.004000
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Training Epoch: 8 [25600/46250]	Loss: 0.0271	LR: 0.004000
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Training Epoch: 8 [27392/46250]	Loss: 0.0309	LR: 0.004000
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Training Epoch: 8 [27904/46250]	Loss: 0.0277	LR: 0.004000
Training Epoch: 8 [28160/46250]	Loss: 0.0330	LR: 0.004000
Training Epoch: 8 [28416/46250]	Loss: 0.0196	LR: 0.004000
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Training Epoch: 8 [28928/46250]	Loss: 0.0263	LR: 0.004000
Training Epoch: 8 [29184/46250]	Loss: 0.0198	LR: 0.004000
Training Epoch: 8 [29440/46250]	Loss: 0.0307	LR: 0.004000
Training Epoch: 8 [29696/46250]	Loss: 0.0225	LR: 0.004000
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Training Epoch: 8 [30464/46250]	Loss: 0.0267	LR: 0.004000
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Training Epoch: 8 [31232/46250]	Loss: 0.0221	LR: 0.004000
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Training Epoch: 8 [32256/46250]	Loss: 0.0275	LR: 0.004000
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Training Epoch: 8 [32768/46250]	Loss: 0.0164	LR: 0.004000
Training Epoch: 8 [33024/46250]	Loss: 0.0275	LR: 0.004000
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Training Epoch: 8 [33536/46250]	Loss: 0.0263	LR: 0.004000
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Training Epoch: 8 [34304/46250]	Loss: 0.0233	LR: 0.004000
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Training Epoch: 8 [35328/46250]	Loss: 0.0236	LR: 0.004000
Training Epoch: 8 [35584/46250]	Loss: 0.0260	LR: 0.004000
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Training Epoch: 8 [36352/46250]	Loss: 0.0255	LR: 0.004000
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Training Epoch: 8 [37376/46250]	Loss: 0.0268	LR: 0.004000
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Training Epoch: 8 [37888/46250]	Loss: 0.0169	LR: 0.004000
Training Epoch: 8 [38144/46250]	Loss: 0.0163	LR: 0.004000
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Training Epoch: 8 [39168/46250]	Loss: 0.0336	LR: 0.004000
Training Epoch: 8 [39424/46250]	Loss: 0.0311	LR: 0.004000
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Training Epoch: 8 [40448/46250]	Loss: 0.0181	LR: 0.004000
Training Epoch: 8 [40704/46250]	Loss: 0.0225	LR: 0.004000
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Training Epoch: 8 [41216/46250]	Loss: 0.0457	LR: 0.004000
Training Epoch: 8 [41472/46250]	Loss: 0.0209	LR: 0.004000
Training Epoch: 8 [41728/46250]	Loss: 0.0206	LR: 0.004000
Training Epoch: 8 [41984/46250]	Loss: 0.0362	LR: 0.004000
Training Epoch: 8 [42240/46250]	Loss: 0.0207	LR: 0.004000
Training Epoch: 8 [42496/46250]	Loss: 0.0218	LR: 0.004000
Training Epoch: 8 [42752/46250]	Loss: 0.0182	LR: 0.004000
Training Epoch: 8 [43008/46250]	Loss: 0.0216	LR: 0.004000
Training Epoch: 8 [43264/46250]	Loss: 0.0345	LR: 0.004000
Training Epoch: 8 [43520/46250]	Loss: 0.0237	LR: 0.004000
Training Epoch: 8 [43776/46250]	Loss: 0.0209	LR: 0.004000
Training Epoch: 8 [44032/46250]	Loss: 0.0170	LR: 0.004000
Training Epoch: 8 [44288/46250]	Loss: 0.0165	LR: 0.004000
Training Epoch: 8 [44544/46250]	Loss: 0.0255	LR: 0.004000
Training Epoch: 8 [44800/46250]	Loss: 0.0244	LR: 0.004000
Training Epoch: 8 [45056/46250]	Loss: 0.0308	LR: 0.004000
Training Epoch: 8 [45312/46250]	Loss: 0.0287	LR: 0.004000
Training Epoch: 8 [45568/46250]	Loss: 0.0217	LR: 0.004000
Training Epoch: 8 [45824/46250]	Loss: 0.0271	LR: 0.004000
Training Epoch: 8 [46080/46250]	Loss: 0.0254	LR: 0.004000
Training Epoch: 8 [46250/46250]	Loss: 0.0290	LR: 0.004000
Epoch 8 - Average Train Loss: 0.0261, Train Accuracy: 0.9976
Epoch 8 training time consumed: 18.07s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0027, Accuracy: 0.8201, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_11h_19m_14s/ResNet18-Cifar10-seed2-ret25-8-best.pth
Training Epoch: 9 [256/46250]	Loss: 0.0086	LR: 0.000800
Training Epoch: 9 [512/46250]	Loss: 0.0096	LR: 0.000800
Training Epoch: 9 [768/46250]	Loss: 0.0106	LR: 0.000800
Training Epoch: 9 [1024/46250]	Loss: 0.0116	LR: 0.000800
Training Epoch: 9 [1280/46250]	Loss: 0.0131	LR: 0.000800
Training Epoch: 9 [1536/46250]	Loss: 0.0098	LR: 0.000800
Training Epoch: 9 [1792/46250]	Loss: 0.0151	LR: 0.000800
Training Epoch: 9 [2048/46250]	Loss: 0.0128	LR: 0.000800
Training Epoch: 9 [2304/46250]	Loss: 0.0180	LR: 0.000800
Training Epoch: 9 [2560/46250]	Loss: 0.0124	LR: 0.000800
Training Epoch: 9 [2816/46250]	Loss: 0.0114	LR: 0.000800
Training Epoch: 9 [3072/46250]	Loss: 0.0140	LR: 0.000800
Training Epoch: 9 [3328/46250]	Loss: 0.0119	LR: 0.000800
Training Epoch: 9 [3584/46250]	Loss: 0.0131	LR: 0.000800
Training Epoch: 9 [3840/46250]	Loss: 0.0112	LR: 0.000800
Training Epoch: 9 [4096/46250]	Loss: 0.0121	LR: 0.000800
Training Epoch: 9 [4352/46250]	Loss: 0.0109	LR: 0.000800
Training Epoch: 9 [4608/46250]	Loss: 0.0118	LR: 0.000800
Training Epoch: 9 [4864/46250]	Loss: 0.0121	LR: 0.000800
Training Epoch: 9 [5120/46250]	Loss: 0.0140	LR: 0.000800
Training Epoch: 9 [5376/46250]	Loss: 0.0149	LR: 0.000800
Training Epoch: 9 [5632/46250]	Loss: 0.0152	LR: 0.000800
Training Epoch: 9 [5888/46250]	Loss: 0.0150	LR: 0.000800
Training Epoch: 9 [6144/46250]	Loss: 0.0116	LR: 0.000800
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Training Epoch: 9 [8448/46250]	Loss: 0.0113	LR: 0.000800
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Training Epoch: 9 [9984/46250]	Loss: 0.0121	LR: 0.000800
Training Epoch: 9 [10240/46250]	Loss: 0.0180	LR: 0.000800
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Training Epoch: 9 [11008/46250]	Loss: 0.0119	LR: 0.000800
Training Epoch: 9 [11264/46250]	Loss: 0.0136	LR: 0.000800
Training Epoch: 9 [11520/46250]	Loss: 0.0086	LR: 0.000800
Training Epoch: 9 [11776/46250]	Loss: 0.0115	LR: 0.000800
Training Epoch: 9 [12032/46250]	Loss: 0.0195	LR: 0.000800
Training Epoch: 9 [12288/46250]	Loss: 0.0124	LR: 0.000800
Training Epoch: 9 [12544/46250]	Loss: 0.0096	LR: 0.000800
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Training Epoch: 9 [13568/46250]	Loss: 0.0124	LR: 0.000800
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Training Epoch: 9 [14848/46250]	Loss: 0.0112	LR: 0.000800
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Training Epoch: 9 [28416/46250]	Loss: 0.0119	LR: 0.000800
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Training Epoch: 9 [35840/46250]	Loss: 0.0119	LR: 0.000800
Training Epoch: 9 [36096/46250]	Loss: 0.0087	LR: 0.000800
Training Epoch: 9 [36352/46250]	Loss: 0.0116	LR: 0.000800
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Training Epoch: 9 [36864/46250]	Loss: 0.0119	LR: 0.000800
Training Epoch: 9 [37120/46250]	Loss: 0.0088	LR: 0.000800
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Training Epoch: 9 [37632/46250]	Loss: 0.0087	LR: 0.000800
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Training Epoch: 9 [38912/46250]	Loss: 0.0108	LR: 0.000800
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Training Epoch: 9 [40192/46250]	Loss: 0.0097	LR: 0.000800
Training Epoch: 9 [40448/46250]	Loss: 0.0121	LR: 0.000800
Training Epoch: 9 [40704/46250]	Loss: 0.0138	LR: 0.000800
Training Epoch: 9 [40960/46250]	Loss: 0.0098	LR: 0.000800
Training Epoch: 9 [41216/46250]	Loss: 0.0112	LR: 0.000800
Training Epoch: 9 [41472/46250]	Loss: 0.0091	LR: 0.000800
Training Epoch: 9 [41728/46250]	Loss: 0.0096	LR: 0.000800
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Training Epoch: 9 [42240/46250]	Loss: 0.0127	LR: 0.000800
Training Epoch: 9 [42496/46250]	Loss: 0.0107	LR: 0.000800
Training Epoch: 9 [42752/46250]	Loss: 0.0076	LR: 0.000800
Training Epoch: 9 [43008/46250]	Loss: 0.0109	LR: 0.000800
Training Epoch: 9 [43264/46250]	Loss: 0.0126	LR: 0.000800
Training Epoch: 9 [43520/46250]	Loss: 0.0119	LR: 0.000800
Training Epoch: 9 [43776/46250]	Loss: 0.0122	LR: 0.000800
Training Epoch: 9 [44032/46250]	Loss: 0.0123	LR: 0.000800
Training Epoch: 9 [44288/46250]	Loss: 0.0125	LR: 0.000800
Training Epoch: 9 [44544/46250]	Loss: 0.0088	LR: 0.000800
Training Epoch: 9 [44800/46250]	Loss: 0.0118	LR: 0.000800
Training Epoch: 9 [45056/46250]	Loss: 0.0112	LR: 0.000800
Training Epoch: 9 [45312/46250]	Loss: 0.0086	LR: 0.000800
Training Epoch: 9 [45568/46250]	Loss: 0.0122	LR: 0.000800
Training Epoch: 9 [45824/46250]	Loss: 0.0100	LR: 0.000800
Training Epoch: 9 [46080/46250]	Loss: 0.0102	LR: 0.000800
Training Epoch: 9 [46250/46250]	Loss: 0.0100	LR: 0.000800
Epoch 9 - Average Train Loss: 0.0114, Train Accuracy: 0.9998
Epoch 9 training time consumed: 18.06s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0027, Accuracy: 0.8243, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_11h_19m_14s/ResNet18-Cifar10-seed2-ret25-9-best.pth
Training Epoch: 10 [256/46250]	Loss: 0.0097	LR: 0.000800
Training Epoch: 10 [512/46250]	Loss: 0.0088	LR: 0.000800
Training Epoch: 10 [768/46250]	Loss: 0.0105	LR: 0.000800
Training Epoch: 10 [1024/46250]	Loss: 0.0103	LR: 0.000800
Training Epoch: 10 [1280/46250]	Loss: 0.0119	LR: 0.000800
Training Epoch: 10 [1536/46250]	Loss: 0.0089	LR: 0.000800
Training Epoch: 10 [1792/46250]	Loss: 0.0086	LR: 0.000800
Training Epoch: 10 [2048/46250]	Loss: 0.0090	LR: 0.000800
Training Epoch: 10 [2304/46250]	Loss: 0.0087	LR: 0.000800
Training Epoch: 10 [2560/46250]	Loss: 0.0088	LR: 0.000800
Training Epoch: 10 [2816/46250]	Loss: 0.0128	LR: 0.000800
Training Epoch: 10 [3072/46250]	Loss: 0.0097	LR: 0.000800
Training Epoch: 10 [3328/46250]	Loss: 0.0094	LR: 0.000800
Training Epoch: 10 [3584/46250]	Loss: 0.0103	LR: 0.000800
Training Epoch: 10 [3840/46250]	Loss: 0.0092	LR: 0.000800
Training Epoch: 10 [4096/46250]	Loss: 0.0101	LR: 0.000800
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Training Epoch: 10 [5120/46250]	Loss: 0.0096	LR: 0.000800
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Training Epoch: 10 [5632/46250]	Loss: 0.0091	LR: 0.000800
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Training Epoch: 10 [11008/46250]	Loss: 0.0084	LR: 0.000800
Training Epoch: 10 [11264/46250]	Loss: 0.0114	LR: 0.000800
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Training Epoch: 10 [12288/46250]	Loss: 0.0089	LR: 0.000800
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Training Epoch: 10 [14848/46250]	Loss: 0.0125	LR: 0.000800
Training Epoch: 10 [15104/46250]	Loss: 0.0088	LR: 0.000800
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Training Epoch: 10 [19712/46250]	Loss: 0.0086	LR: 0.000800
Training Epoch: 10 [19968/46250]	Loss: 0.0089	LR: 0.000800
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Training Epoch: 10 [21504/46250]	Loss: 0.0091	LR: 0.000800
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Training Epoch: 10 [23040/46250]	Loss: 0.0095	LR: 0.000800
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Training Epoch: 10 [25088/46250]	Loss: 0.0087	LR: 0.000800
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Training Epoch: 10 [27904/46250]	Loss: 0.0088	LR: 0.000800
Training Epoch: 10 [28160/46250]	Loss: 0.0086	LR: 0.000800
Training Epoch: 10 [28416/46250]	Loss: 0.0108	LR: 0.000800
Training Epoch: 10 [28672/46250]	Loss: 0.0094	LR: 0.000800
Training Epoch: 10 [28928/46250]	Loss: 0.0115	LR: 0.000800
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Training Epoch: 10 [29440/46250]	Loss: 0.0089	LR: 0.000800
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Training Epoch: 10 [30720/46250]	Loss: 0.0095	LR: 0.000800
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Training Epoch: 10 [31744/46250]	Loss: 0.0083	LR: 0.000800
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Training Epoch: 10 [32768/46250]	Loss: 0.0124	LR: 0.000800
Training Epoch: 10 [33024/46250]	Loss: 0.0091	LR: 0.000800
Training Epoch: 10 [33280/46250]	Loss: 0.0108	LR: 0.000800
Training Epoch: 10 [33536/46250]	Loss: 0.0092	LR: 0.000800
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Training Epoch: 10 [34304/46250]	Loss: 0.0115	LR: 0.000800
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Training Epoch: 10 [34816/46250]	Loss: 0.0107	LR: 0.000800
Training Epoch: 10 [35072/46250]	Loss: 0.0094	LR: 0.000800
Training Epoch: 10 [35328/46250]	Loss: 0.0116	LR: 0.000800
Training Epoch: 10 [35584/46250]	Loss: 0.0098	LR: 0.000800
Training Epoch: 10 [35840/46250]	Loss: 0.0082	LR: 0.000800
Training Epoch: 10 [36096/46250]	Loss: 0.0109	LR: 0.000800
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Training Epoch: 10 [37888/46250]	Loss: 0.0075	LR: 0.000800
Training Epoch: 10 [38144/46250]	Loss: 0.0085	LR: 0.000800
Training Epoch: 10 [38400/46250]	Loss: 0.0108	LR: 0.000800
Training Epoch: 10 [38656/46250]	Loss: 0.0129	LR: 0.000800
Training Epoch: 10 [38912/46250]	Loss: 0.0113	LR: 0.000800
Training Epoch: 10 [39168/46250]	Loss: 0.0099	LR: 0.000800
Training Epoch: 10 [39424/46250]	Loss: 0.0118	LR: 0.000800
Training Epoch: 10 [39680/46250]	Loss: 0.0087	LR: 0.000800
Training Epoch: 10 [39936/46250]	Loss: 0.0113	LR: 0.000800
Training Epoch: 10 [40192/46250]	Loss: 0.0127	LR: 0.000800
Training Epoch: 10 [40448/46250]	Loss: 0.0087	LR: 0.000800
Training Epoch: 10 [40704/46250]	Loss: 0.0106	LR: 0.000800
Training Epoch: 10 [40960/46250]	Loss: 0.0085	LR: 0.000800
Training Epoch: 10 [41216/46250]	Loss: 0.0080	LR: 0.000800
Training Epoch: 10 [41472/46250]	Loss: 0.0093	LR: 0.000800
Training Epoch: 10 [41728/46250]	Loss: 0.0102	LR: 0.000800
Training Epoch: 10 [41984/46250]	Loss: 0.0078	LR: 0.000800
Training Epoch: 10 [42240/46250]	Loss: 0.0102	LR: 0.000800
Training Epoch: 10 [42496/46250]	Loss: 0.0113	LR: 0.000800
Training Epoch: 10 [42752/46250]	Loss: 0.0111	LR: 0.000800
Training Epoch: 10 [43008/46250]	Loss: 0.0091	LR: 0.000800
Training Epoch: 10 [43264/46250]	Loss: 0.0110	LR: 0.000800
Training Epoch: 10 [43520/46250]	Loss: 0.0090	LR: 0.000800
Training Epoch: 10 [43776/46250]	Loss: 0.0083	LR: 0.000800
Training Epoch: 10 [44032/46250]	Loss: 0.0080	LR: 0.000800
Training Epoch: 10 [44288/46250]	Loss: 0.0105	LR: 0.000800
Training Epoch: 10 [44544/46250]	Loss: 0.0097	LR: 0.000800
Training Epoch: 10 [44800/46250]	Loss: 0.0097	LR: 0.000800
Training Epoch: 10 [45056/46250]	Loss: 0.0105	LR: 0.000800
Training Epoch: 10 [45312/46250]	Loss: 0.0098	LR: 0.000800
Training Epoch: 10 [45568/46250]	Loss: 0.0117	LR: 0.000800
Training Epoch: 10 [45824/46250]	Loss: 0.0089	LR: 0.000800
Training Epoch: 10 [46080/46250]	Loss: 0.0094	LR: 0.000800
Training Epoch: 10 [46250/46250]	Loss: 0.0097	LR: 0.000800
Epoch 10 - Average Train Loss: 0.0098, Train Accuracy: 1.0000
Epoch 10 training time consumed: 18.10s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0027, Accuracy: 0.8243, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_11h_19m_14s/ResNet18-Cifar10-seed2-ret25-10-best.pth
Valid (Test) Dl:  10000
Train Dl:  50000
Retain Train Dl:  46250
Forget Train Dl:  3750
Retain Valid Dl:  46250
Forget Valid Dl:  3750
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 3750 samples
Set1 Distribution: 3750 samples
Set2 Distribution: 3750 samples
Set1 Distribution: 3750 samples
Set2 Distribution: 3750 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Test Accuracy: 82.548828125
Retain Accuracy: 100.0
Zero-Retain Forget (ZRF): 0.781550407409668
Membership Inference Attack (MIA): 0.5978666666666667
Forget vs Retain Membership Inference Attack (MIA): 0.622
Forget vs Test Membership Inference Attack (MIA): 0.53
Test vs Retain Membership Inference Attack (MIA): 0.61475
Train vs Test Membership Inference Attack (MIA): 0.635
Forget Set Accuracy (Df): 81.55465698242188
Method Execution Time: 1124.27 seconds
