hello
hello
Labels

📌S Retain class distribution for seed 10:
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 10:
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: 2.3834	LR: 0.000000
Training Epoch: 1 [512/46250]	Loss: 2.3813	LR: 0.000552
Training Epoch: 1 [768/46250]	Loss: 2.4051	LR: 0.001105
Training Epoch: 1 [1024/46250]	Loss: 2.3252	LR: 0.001657
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Training Epoch: 1 [1536/46250]	Loss: 2.2680	LR: 0.002762
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Training Epoch: 1 [11008/46250]	Loss: 1.8712	LR: 0.023204
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Training Epoch: 1 [11520/46250]	Loss: 1.5230	LR: 0.024309
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Training Epoch: 1 [25600/46250]	Loss: 1.5387	LR: 0.054696
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Training Epoch: 1 [28416/46250]	Loss: 1.3149	LR: 0.060773
Training Epoch: 1 [28672/46250]	Loss: 1.5846	LR: 0.061326
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Training Epoch: 1 [30208/46250]	Loss: 1.4301	LR: 0.064641
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Training Epoch: 1 [30720/46250]	Loss: 1.4434	LR: 0.065746
Training Epoch: 1 [30976/46250]	Loss: 1.3990	LR: 0.066298
Training Epoch: 1 [31232/46250]	Loss: 1.4140	LR: 0.066851
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Training Epoch: 1 [31744/46250]	Loss: 1.3851	LR: 0.067956
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Training Epoch: 1 [32256/46250]	Loss: 1.3649	LR: 0.069061
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Training Epoch: 1 [33280/46250]	Loss: 1.4096	LR: 0.071271
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Training Epoch: 1 [35840/46250]	Loss: 1.3673	LR: 0.076796
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Training Epoch: 1 [36352/46250]	Loss: 1.2749	LR: 0.077901
Training Epoch: 1 [36608/46250]	Loss: 1.1551	LR: 0.078453
Training Epoch: 1 [36864/46250]	Loss: 1.2234	LR: 0.079006
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Training Epoch: 1 [37376/46250]	Loss: 1.1566	LR: 0.080110
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Training Epoch: 1 [37888/46250]	Loss: 1.1610	LR: 0.081215
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Training Epoch: 1 [38400/46250]	Loss: 1.2306	LR: 0.082320
Training Epoch: 1 [38656/46250]	Loss: 1.0661	LR: 0.082873
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Training Epoch: 1 [39936/46250]	Loss: 1.0618	LR: 0.085635
Training Epoch: 1 [40192/46250]	Loss: 1.1900	LR: 0.086188
Training Epoch: 1 [40448/46250]	Loss: 1.1212	LR: 0.086740
Training Epoch: 1 [40704/46250]	Loss: 1.2087	LR: 0.087293
Training Epoch: 1 [40960/46250]	Loss: 1.1255	LR: 0.087845
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Training Epoch: 1 [41472/46250]	Loss: 1.2311	LR: 0.088950
Training Epoch: 1 [41728/46250]	Loss: 1.2748	LR: 0.089503
Training Epoch: 1 [41984/46250]	Loss: 1.2163	LR: 0.090055
Training Epoch: 1 [42240/46250]	Loss: 1.1537	LR: 0.090608
Training Epoch: 1 [42496/46250]	Loss: 1.0901	LR: 0.091160
Training Epoch: 1 [42752/46250]	Loss: 1.1173	LR: 0.091713
Training Epoch: 1 [43008/46250]	Loss: 1.1649	LR: 0.092265
Training Epoch: 1 [43264/46250]	Loss: 1.1736	LR: 0.092818
Training Epoch: 1 [43520/46250]	Loss: 1.1520	LR: 0.093370
Training Epoch: 1 [43776/46250]	Loss: 1.2189	LR: 0.093923
Training Epoch: 1 [44032/46250]	Loss: 1.2012	LR: 0.094475
Training Epoch: 1 [44288/46250]	Loss: 1.1008	LR: 0.095028
Training Epoch: 1 [44544/46250]	Loss: 1.0654	LR: 0.095580
Training Epoch: 1 [44800/46250]	Loss: 1.1028	LR: 0.096133
Training Epoch: 1 [45056/46250]	Loss: 1.2789	LR: 0.096685
Training Epoch: 1 [45312/46250]	Loss: 1.0619	LR: 0.097238
Training Epoch: 1 [45568/46250]	Loss: 1.1515	LR: 0.097790
Training Epoch: 1 [45824/46250]	Loss: 1.0658	LR: 0.098343
Training Epoch: 1 [46080/46250]	Loss: 1.1699	LR: 0.098895
Training Epoch: 1 [46250/46250]	Loss: 1.0911	LR: 0.099448
Epoch 1 - Average Train Loss: 1.5096, Train Accuracy: 0.4532
Epoch 1 training time consumed: 18.77s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0061, Accuracy: 0.5228, Time consumed:1.02s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_13h_51m_11s/ResNet18-Cifar10-seed10-ret25-1-best.pth
Training Epoch: 2 [256/46250]	Loss: 1.0589	LR: 0.020000
Training Epoch: 2 [512/46250]	Loss: 1.0487	LR: 0.020000
Training Epoch: 2 [768/46250]	Loss: 1.0781	LR: 0.020000
Training Epoch: 2 [1024/46250]	Loss: 1.1092	LR: 0.020000
Training Epoch: 2 [1280/46250]	Loss: 1.1314	LR: 0.020000
Training Epoch: 2 [1536/46250]	Loss: 0.9714	LR: 0.020000
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Training Epoch: 2 [2048/46250]	Loss: 1.0048	LR: 0.020000
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Training Epoch: 2 [22784/46250]	Loss: 0.7003	LR: 0.020000
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Training Epoch: 2 [40448/46250]	Loss: 0.6005	LR: 0.020000
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Training Epoch: 2 [41984/46250]	Loss: 0.8190	LR: 0.020000
Training Epoch: 2 [42240/46250]	Loss: 0.6488	LR: 0.020000
Training Epoch: 2 [42496/46250]	Loss: 0.6143	LR: 0.020000
Training Epoch: 2 [42752/46250]	Loss: 0.7179	LR: 0.020000
Training Epoch: 2 [43008/46250]	Loss: 0.7143	LR: 0.020000
Training Epoch: 2 [43264/46250]	Loss: 0.8331	LR: 0.020000
Training Epoch: 2 [43520/46250]	Loss: 0.7163	LR: 0.020000
Training Epoch: 2 [43776/46250]	Loss: 0.6784	LR: 0.020000
Training Epoch: 2 [44032/46250]	Loss: 0.6648	LR: 0.020000
Training Epoch: 2 [44288/46250]	Loss: 0.6815	LR: 0.020000
Training Epoch: 2 [44544/46250]	Loss: 0.8034	LR: 0.020000
Training Epoch: 2 [44800/46250]	Loss: 0.7453	LR: 0.020000
Training Epoch: 2 [45056/46250]	Loss: 0.6996	LR: 0.020000
Training Epoch: 2 [45312/46250]	Loss: 0.7402	LR: 0.020000
Training Epoch: 2 [45568/46250]	Loss: 0.7887	LR: 0.020000
Training Epoch: 2 [45824/46250]	Loss: 0.8063	LR: 0.020000
Training Epoch: 2 [46080/46250]	Loss: 0.6907	LR: 0.020000
Training Epoch: 2 [46250/46250]	Loss: 0.5949	LR: 0.020000
Epoch 2 - Average Train Loss: 0.7788, Train Accuracy: 0.7229
Epoch 2 training time consumed: 18.44s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0031, Accuracy: 0.7260, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_13h_51m_11s/ResNet18-Cifar10-seed10-ret25-2-best.pth
Training Epoch: 3 [256/46250]	Loss: 0.6230	LR: 0.020000
Training Epoch: 3 [512/46250]	Loss: 0.6227	LR: 0.020000
Training Epoch: 3 [768/46250]	Loss: 0.6298	LR: 0.020000
Training Epoch: 3 [1024/46250]	Loss: 0.5699	LR: 0.020000
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Training Epoch: 3 [1536/46250]	Loss: 0.5575	LR: 0.020000
Training Epoch: 3 [1792/46250]	Loss: 0.5380	LR: 0.020000
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Training Epoch: 3 [40192/46250]	Loss: 0.6937	LR: 0.020000
Training Epoch: 3 [40448/46250]	Loss: 0.5553	LR: 0.020000
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Training Epoch: 3 [42496/46250]	Loss: 0.6078	LR: 0.020000
Training Epoch: 3 [42752/46250]	Loss: 0.5567	LR: 0.020000
Training Epoch: 3 [43008/46250]	Loss: 0.5360	LR: 0.020000
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Training Epoch: 3 [43520/46250]	Loss: 0.5726	LR: 0.020000
Training Epoch: 3 [43776/46250]	Loss: 0.5179	LR: 0.020000
Training Epoch: 3 [44032/46250]	Loss: 0.6641	LR: 0.020000
Training Epoch: 3 [44288/46250]	Loss: 0.5237	LR: 0.020000
Training Epoch: 3 [44544/46250]	Loss: 0.4732	LR: 0.020000
Training Epoch: 3 [44800/46250]	Loss: 0.5520	LR: 0.020000
Training Epoch: 3 [45056/46250]	Loss: 0.7182	LR: 0.020000
Training Epoch: 3 [45312/46250]	Loss: 0.5643	LR: 0.020000
Training Epoch: 3 [45568/46250]	Loss: 0.4623	LR: 0.020000
Training Epoch: 3 [45824/46250]	Loss: 0.5420	LR: 0.020000
Training Epoch: 3 [46080/46250]	Loss: 0.6851	LR: 0.020000
Training Epoch: 3 [46250/46250]	Loss: 0.5906	LR: 0.020000
Epoch 3 - Average Train Loss: 0.5823, Train Accuracy: 0.7957
Epoch 3 training time consumed: 18.44s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0028, Accuracy: 0.7621, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_13h_51m_11s/ResNet18-Cifar10-seed10-ret25-3-best.pth
Training Epoch: 4 [256/46250]	Loss: 0.4748	LR: 0.020000
Training Epoch: 4 [512/46250]	Loss: 0.4949	LR: 0.020000
Training Epoch: 4 [768/46250]	Loss: 0.5449	LR: 0.020000
Training Epoch: 4 [1024/46250]	Loss: 0.3946	LR: 0.020000
Training Epoch: 4 [1280/46250]	Loss: 0.4681	LR: 0.020000
Training Epoch: 4 [1536/46250]	Loss: 0.4470	LR: 0.020000
Training Epoch: 4 [1792/46250]	Loss: 0.5259	LR: 0.020000
Training Epoch: 4 [2048/46250]	Loss: 0.4434	LR: 0.020000
Training Epoch: 4 [2304/46250]	Loss: 0.3729	LR: 0.020000
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Training Epoch: 4 [46080/46250]	Loss: 0.4330	LR: 0.020000
Training Epoch: 4 [46250/46250]	Loss: 0.4190	LR: 0.020000
Epoch 4 - Average Train Loss: 0.4517, Train Accuracy: 0.8403
Epoch 4 training time consumed: 18.14s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0033, Accuracy: 0.7264, Time consumed:1.03s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_13h_51m_11s/ResNet18-Cifar10-seed10-ret25-4-best.pth
Training Epoch: 5 [256/46250]	Loss: 0.3109	LR: 0.004000
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Training Epoch: 5 [28928/46250]	Loss: 0.1446	LR: 0.004000
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Training Epoch: 5 [32000/46250]	Loss: 0.1715	LR: 0.004000
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Training Epoch: 5 [37376/46250]	Loss: 0.1664	LR: 0.004000
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Training Epoch: 5 [37888/46250]	Loss: 0.2332	LR: 0.004000
Training Epoch: 5 [38144/46250]	Loss: 0.1591	LR: 0.004000
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Training Epoch: 5 [40192/46250]	Loss: 0.1803	LR: 0.004000
Training Epoch: 5 [40448/46250]	Loss: 0.1459	LR: 0.004000
Training Epoch: 5 [40704/46250]	Loss: 0.1612	LR: 0.004000
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Training Epoch: 5 [41216/46250]	Loss: 0.1806	LR: 0.004000
Training Epoch: 5 [41472/46250]	Loss: 0.2117	LR: 0.004000
Training Epoch: 5 [41728/46250]	Loss: 0.2290	LR: 0.004000
Training Epoch: 5 [41984/46250]	Loss: 0.1816	LR: 0.004000
Training Epoch: 5 [42240/46250]	Loss: 0.1285	LR: 0.004000
Training Epoch: 5 [42496/46250]	Loss: 0.1597	LR: 0.004000
Training Epoch: 5 [42752/46250]	Loss: 0.1759	LR: 0.004000
Training Epoch: 5 [43008/46250]	Loss: 0.1721	LR: 0.004000
Training Epoch: 5 [43264/46250]	Loss: 0.1669	LR: 0.004000
Training Epoch: 5 [43520/46250]	Loss: 0.1373	LR: 0.004000
Training Epoch: 5 [43776/46250]	Loss: 0.1445	LR: 0.004000
Training Epoch: 5 [44032/46250]	Loss: 0.1566	LR: 0.004000
Training Epoch: 5 [44288/46250]	Loss: 0.1549	LR: 0.004000
Training Epoch: 5 [44544/46250]	Loss: 0.2482	LR: 0.004000
Training Epoch: 5 [44800/46250]	Loss: 0.1996	LR: 0.004000
Training Epoch: 5 [45056/46250]	Loss: 0.1498	LR: 0.004000
Training Epoch: 5 [45312/46250]	Loss: 0.1823	LR: 0.004000
Training Epoch: 5 [45568/46250]	Loss: 0.1807	LR: 0.004000
Training Epoch: 5 [45824/46250]	Loss: 0.1691	LR: 0.004000
Training Epoch: 5 [46080/46250]	Loss: 0.1738	LR: 0.004000
Training Epoch: 5 [46250/46250]	Loss: 0.2283	LR: 0.004000
Epoch 5 - Average Train Loss: 0.2081, Train Accuracy: 0.9341
Epoch 5 training time consumed: 17.88s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0022, Accuracy: 0.8233, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_13h_51m_11s/ResNet18-Cifar10-seed10-ret25-5-best.pth
Training Epoch: 6 [256/46250]	Loss: 0.1113	LR: 0.004000
Training Epoch: 6 [512/46250]	Loss: 0.0973	LR: 0.004000
Training Epoch: 6 [768/46250]	Loss: 0.0960	LR: 0.004000
Training Epoch: 6 [1024/46250]	Loss: 0.0972	LR: 0.004000
Training Epoch: 6 [1280/46250]	Loss: 0.1508	LR: 0.004000
Training Epoch: 6 [1536/46250]	Loss: 0.0936	LR: 0.004000
Training Epoch: 6 [1792/46250]	Loss: 0.1388	LR: 0.004000
Training Epoch: 6 [2048/46250]	Loss: 0.1403	LR: 0.004000
Training Epoch: 6 [2304/46250]	Loss: 0.1018	LR: 0.004000
Training Epoch: 6 [2560/46250]	Loss: 0.1359	LR: 0.004000
Training Epoch: 6 [2816/46250]	Loss: 0.1303	LR: 0.004000
Training Epoch: 6 [3072/46250]	Loss: 0.1024	LR: 0.004000
Training Epoch: 6 [3328/46250]	Loss: 0.1015	LR: 0.004000
Training Epoch: 6 [3584/46250]	Loss: 0.1089	LR: 0.004000
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Training Epoch: 6 [4096/46250]	Loss: 0.1537	LR: 0.004000
Training Epoch: 6 [4352/46250]	Loss: 0.1082	LR: 0.004000
Training Epoch: 6 [4608/46250]	Loss: 0.0760	LR: 0.004000
Training Epoch: 6 [4864/46250]	Loss: 0.0761	LR: 0.004000
Training Epoch: 6 [5120/46250]	Loss: 0.1160	LR: 0.004000
Training Epoch: 6 [5376/46250]	Loss: 0.1206	LR: 0.004000
Training Epoch: 6 [5632/46250]	Loss: 0.1066	LR: 0.004000
Training Epoch: 6 [5888/46250]	Loss: 0.1322	LR: 0.004000
Training Epoch: 6 [6144/46250]	Loss: 0.1307	LR: 0.004000
Training Epoch: 6 [6400/46250]	Loss: 0.1226	LR: 0.004000
Training Epoch: 6 [6656/46250]	Loss: 0.1238	LR: 0.004000
Training Epoch: 6 [6912/46250]	Loss: 0.1243	LR: 0.004000
Training Epoch: 6 [7168/46250]	Loss: 0.0896	LR: 0.004000
Training Epoch: 6 [7424/46250]	Loss: 0.1219	LR: 0.004000
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Training Epoch: 6 [7936/46250]	Loss: 0.1319	LR: 0.004000
Training Epoch: 6 [8192/46250]	Loss: 0.1189	LR: 0.004000
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Training Epoch: 6 [11776/46250]	Loss: 0.1315	LR: 0.004000
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Training Epoch: 6 [12288/46250]	Loss: 0.1313	LR: 0.004000
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Training Epoch: 6 [28416/46250]	Loss: 0.0981	LR: 0.004000
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Training Epoch: 6 [28928/46250]	Loss: 0.1253	LR: 0.004000
Training Epoch: 6 [29184/46250]	Loss: 0.1056	LR: 0.004000
Training Epoch: 6 [29440/46250]	Loss: 0.0737	LR: 0.004000
Training Epoch: 6 [29696/46250]	Loss: 0.1001	LR: 0.004000
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Training Epoch: 6 [30208/46250]	Loss: 0.1178	LR: 0.004000
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Training Epoch: 6 [34816/46250]	Loss: 0.1131	LR: 0.004000
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Training Epoch: 6 [35840/46250]	Loss: 0.0645	LR: 0.004000
Training Epoch: 6 [36096/46250]	Loss: 0.0811	LR: 0.004000
Training Epoch: 6 [36352/46250]	Loss: 0.1274	LR: 0.004000
Training Epoch: 6 [36608/46250]	Loss: 0.0948	LR: 0.004000
Training Epoch: 6 [36864/46250]	Loss: 0.1278	LR: 0.004000
Training Epoch: 6 [37120/46250]	Loss: 0.1216	LR: 0.004000
Training Epoch: 6 [37376/46250]	Loss: 0.1169	LR: 0.004000
Training Epoch: 6 [37632/46250]	Loss: 0.1284	LR: 0.004000
Training Epoch: 6 [37888/46250]	Loss: 0.0680	LR: 0.004000
Training Epoch: 6 [38144/46250]	Loss: 0.0824	LR: 0.004000
Training Epoch: 6 [38400/46250]	Loss: 0.1119	LR: 0.004000
Training Epoch: 6 [38656/46250]	Loss: 0.1276	LR: 0.004000
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Training Epoch: 6 [39168/46250]	Loss: 0.1107	LR: 0.004000
Training Epoch: 6 [39424/46250]	Loss: 0.0883	LR: 0.004000
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Training Epoch: 6 [39936/46250]	Loss: 0.0815	LR: 0.004000
Training Epoch: 6 [40192/46250]	Loss: 0.1191	LR: 0.004000
Training Epoch: 6 [40448/46250]	Loss: 0.1164	LR: 0.004000
Training Epoch: 6 [40704/46250]	Loss: 0.1468	LR: 0.004000
Training Epoch: 6 [40960/46250]	Loss: 0.1226	LR: 0.004000
Training Epoch: 6 [41216/46250]	Loss: 0.1184	LR: 0.004000
Training Epoch: 6 [41472/46250]	Loss: 0.1249	LR: 0.004000
Training Epoch: 6 [41728/46250]	Loss: 0.1132	LR: 0.004000
Training Epoch: 6 [41984/46250]	Loss: 0.0657	LR: 0.004000
Training Epoch: 6 [42240/46250]	Loss: 0.0947	LR: 0.004000
Training Epoch: 6 [42496/46250]	Loss: 0.1157	LR: 0.004000
Training Epoch: 6 [42752/46250]	Loss: 0.0978	LR: 0.004000
Training Epoch: 6 [43008/46250]	Loss: 0.1221	LR: 0.004000
Training Epoch: 6 [43264/46250]	Loss: 0.1567	LR: 0.004000
Training Epoch: 6 [43520/46250]	Loss: 0.1163	LR: 0.004000
Training Epoch: 6 [43776/46250]	Loss: 0.0966	LR: 0.004000
Training Epoch: 6 [44032/46250]	Loss: 0.1870	LR: 0.004000
Training Epoch: 6 [44288/46250]	Loss: 0.1358	LR: 0.004000
Training Epoch: 6 [44544/46250]	Loss: 0.1055	LR: 0.004000
Training Epoch: 6 [44800/46250]	Loss: 0.0831	LR: 0.004000
Training Epoch: 6 [45056/46250]	Loss: 0.1170	LR: 0.004000
Training Epoch: 6 [45312/46250]	Loss: 0.0944	LR: 0.004000
Training Epoch: 6 [45568/46250]	Loss: 0.1163	LR: 0.004000
Training Epoch: 6 [45824/46250]	Loss: 0.1202	LR: 0.004000
Training Epoch: 6 [46080/46250]	Loss: 0.1145	LR: 0.004000
Training Epoch: 6 [46250/46250]	Loss: 0.0676	LR: 0.004000
Epoch 6 - Average Train Loss: 0.1119, Train Accuracy: 0.9688
Epoch 6 training time consumed: 17.98s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0024, Accuracy: 0.8217, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_13h_51m_11s/ResNet18-Cifar10-seed10-ret25-6-best.pth
Training Epoch: 7 [256/46250]	Loss: 0.0632	LR: 0.004000
Training Epoch: 7 [512/46250]	Loss: 0.0791	LR: 0.004000
Training Epoch: 7 [768/46250]	Loss: 0.0493	LR: 0.004000
Training Epoch: 7 [1024/46250]	Loss: 0.0686	LR: 0.004000
Training Epoch: 7 [1280/46250]	Loss: 0.0461	LR: 0.004000
Training Epoch: 7 [1536/46250]	Loss: 0.0652	LR: 0.004000
Training Epoch: 7 [1792/46250]	Loss: 0.0494	LR: 0.004000
Training Epoch: 7 [2048/46250]	Loss: 0.0367	LR: 0.004000
Training Epoch: 7 [2304/46250]	Loss: 0.0527	LR: 0.004000
Training Epoch: 7 [2560/46250]	Loss: 0.0523	LR: 0.004000
Training Epoch: 7 [2816/46250]	Loss: 0.0486	LR: 0.004000
Training Epoch: 7 [3072/46250]	Loss: 0.0773	LR: 0.004000
Training Epoch: 7 [3328/46250]	Loss: 0.0479	LR: 0.004000
Training Epoch: 7 [3584/46250]	Loss: 0.0554	LR: 0.004000
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Training Epoch: 7 [4096/46250]	Loss: 0.0576	LR: 0.004000
Training Epoch: 7 [4352/46250]	Loss: 0.0645	LR: 0.004000
Training Epoch: 7 [4608/46250]	Loss: 0.0595	LR: 0.004000
Training Epoch: 7 [4864/46250]	Loss: 0.0588	LR: 0.004000
Training Epoch: 7 [5120/46250]	Loss: 0.0582	LR: 0.004000
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Training Epoch: 7 [5632/46250]	Loss: 0.0521	LR: 0.004000
Training Epoch: 7 [5888/46250]	Loss: 0.0616	LR: 0.004000
Training Epoch: 7 [6144/46250]	Loss: 0.0590	LR: 0.004000
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Training Epoch: 7 [8192/46250]	Loss: 0.0680	LR: 0.004000
Training Epoch: 7 [8448/46250]	Loss: 0.0692	LR: 0.004000
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Training Epoch: 7 [40448/46250]	Loss: 0.0548	LR: 0.004000
Training Epoch: 7 [40704/46250]	Loss: 0.0662	LR: 0.004000
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Training Epoch: 7 [43520/46250]	Loss: 0.0494	LR: 0.004000
Training Epoch: 7 [43776/46250]	Loss: 0.0518	LR: 0.004000
Training Epoch: 7 [44032/46250]	Loss: 0.0438	LR: 0.004000
Training Epoch: 7 [44288/46250]	Loss: 0.0378	LR: 0.004000
Training Epoch: 7 [44544/46250]	Loss: 0.0492	LR: 0.004000
Training Epoch: 7 [44800/46250]	Loss: 0.0538	LR: 0.004000
Training Epoch: 7 [45056/46250]	Loss: 0.0564	LR: 0.004000
Training Epoch: 7 [45312/46250]	Loss: 0.0622	LR: 0.004000
Training Epoch: 7 [45568/46250]	Loss: 0.0398	LR: 0.004000
Training Epoch: 7 [45824/46250]	Loss: 0.0710	LR: 0.004000
Training Epoch: 7 [46080/46250]	Loss: 0.0609	LR: 0.004000
Training Epoch: 7 [46250/46250]	Loss: 0.0502	LR: 0.004000
Epoch 7 - Average Train Loss: 0.0545, Train Accuracy: 0.9894
Epoch 7 training time consumed: 18.24s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0027, Accuracy: 0.8106, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_13h_51m_11s/ResNet18-Cifar10-seed10-ret25-7-best.pth
Training Epoch: 8 [256/46250]	Loss: 0.0378	LR: 0.004000
Training Epoch: 8 [512/46250]	Loss: 0.0217	LR: 0.004000
Training Epoch: 8 [768/46250]	Loss: 0.0247	LR: 0.004000
Training Epoch: 8 [1024/46250]	Loss: 0.0187	LR: 0.004000
Training Epoch: 8 [1280/46250]	Loss: 0.0252	LR: 0.004000
Training Epoch: 8 [1536/46250]	Loss: 0.0641	LR: 0.004000
Training Epoch: 8 [1792/46250]	Loss: 0.0365	LR: 0.004000
Training Epoch: 8 [2048/46250]	Loss: 0.0220	LR: 0.004000
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Training Epoch: 8 [2560/46250]	Loss: 0.0390	LR: 0.004000
Training Epoch: 8 [2816/46250]	Loss: 0.0318	LR: 0.004000
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Training Epoch: 8 [9472/46250]	Loss: 0.0339	LR: 0.004000
Training Epoch: 8 [9728/46250]	Loss: 0.0305	LR: 0.004000
Training Epoch: 8 [9984/46250]	Loss: 0.0194	LR: 0.004000
Training Epoch: 8 [10240/46250]	Loss: 0.0229	LR: 0.004000
Training Epoch: 8 [10496/46250]	Loss: 0.0203	LR: 0.004000
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Training Epoch: 8 [11008/46250]	Loss: 0.0194	LR: 0.004000
Training Epoch: 8 [11264/46250]	Loss: 0.0248	LR: 0.004000
Training Epoch: 8 [11520/46250]	Loss: 0.0231	LR: 0.004000
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Training Epoch: 8 [12032/46250]	Loss: 0.0185	LR: 0.004000
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Training Epoch: 8 [13056/46250]	Loss: 0.0171	LR: 0.004000
Training Epoch: 8 [13312/46250]	Loss: 0.0151	LR: 0.004000
Training Epoch: 8 [13568/46250]	Loss: 0.0290	LR: 0.004000
Training Epoch: 8 [13824/46250]	Loss: 0.0202	LR: 0.004000
Training Epoch: 8 [14080/46250]	Loss: 0.0340	LR: 0.004000
Training Epoch: 8 [14336/46250]	Loss: 0.0223	LR: 0.004000
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Training Epoch: 8 [15616/46250]	Loss: 0.0341	LR: 0.004000
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Training Epoch: 8 [16128/46250]	Loss: 0.0202	LR: 0.004000
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Training Epoch: 8 [16640/46250]	Loss: 0.0224	LR: 0.004000
Training Epoch: 8 [16896/46250]	Loss: 0.0199	LR: 0.004000
Training Epoch: 8 [17152/46250]	Loss: 0.0211	LR: 0.004000
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Training Epoch: 8 [19712/46250]	Loss: 0.0223	LR: 0.004000
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Training Epoch: 8 [20224/46250]	Loss: 0.0252	LR: 0.004000
Training Epoch: 8 [20480/46250]	Loss: 0.0187	LR: 0.004000
Training Epoch: 8 [20736/46250]	Loss: 0.0314	LR: 0.004000
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Training Epoch: 8 [24320/46250]	Loss: 0.0414	LR: 0.004000
Training Epoch: 8 [24576/46250]	Loss: 0.0339	LR: 0.004000
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Training Epoch: 8 [27648/46250]	Loss: 0.0287	LR: 0.004000
Training Epoch: 8 [27904/46250]	Loss: 0.0238	LR: 0.004000
Training Epoch: 8 [28160/46250]	Loss: 0.0192	LR: 0.004000
Training Epoch: 8 [28416/46250]	Loss: 0.0213	LR: 0.004000
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Training Epoch: 8 [28928/46250]	Loss: 0.0238	LR: 0.004000
Training Epoch: 8 [29184/46250]	Loss: 0.0329	LR: 0.004000
Training Epoch: 8 [29440/46250]	Loss: 0.0352	LR: 0.004000
Training Epoch: 8 [29696/46250]	Loss: 0.0173	LR: 0.004000
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Training Epoch: 8 [30464/46250]	Loss: 0.0192	LR: 0.004000
Training Epoch: 8 [30720/46250]	Loss: 0.0190	LR: 0.004000
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Training Epoch: 8 [32256/46250]	Loss: 0.0199	LR: 0.004000
Training Epoch: 8 [32512/46250]	Loss: 0.0273	LR: 0.004000
Training Epoch: 8 [32768/46250]	Loss: 0.0210	LR: 0.004000
Training Epoch: 8 [33024/46250]	Loss: 0.0238	LR: 0.004000
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Training Epoch: 8 [33536/46250]	Loss: 0.0232	LR: 0.004000
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Training Epoch: 8 [34816/46250]	Loss: 0.0267	LR: 0.004000
Training Epoch: 8 [35072/46250]	Loss: 0.0162	LR: 0.004000
Training Epoch: 8 [35328/46250]	Loss: 0.0229	LR: 0.004000
Training Epoch: 8 [35584/46250]	Loss: 0.0214	LR: 0.004000
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Training Epoch: 8 [37376/46250]	Loss: 0.0155	LR: 0.004000
Training Epoch: 8 [37632/46250]	Loss: 0.0181	LR: 0.004000
Training Epoch: 8 [37888/46250]	Loss: 0.0232	LR: 0.004000
Training Epoch: 8 [38144/46250]	Loss: 0.0189	LR: 0.004000
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Training Epoch: 8 [39168/46250]	Loss: 0.0273	LR: 0.004000
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Training Epoch: 8 [40192/46250]	Loss: 0.0261	LR: 0.004000
Training Epoch: 8 [40448/46250]	Loss: 0.0191	LR: 0.004000
Training Epoch: 8 [40704/46250]	Loss: 0.0226	LR: 0.004000
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Training Epoch: 8 [41216/46250]	Loss: 0.0188	LR: 0.004000
Training Epoch: 8 [41472/46250]	Loss: 0.0169	LR: 0.004000
Training Epoch: 8 [41728/46250]	Loss: 0.0212	LR: 0.004000
Training Epoch: 8 [41984/46250]	Loss: 0.0371	LR: 0.004000
Training Epoch: 8 [42240/46250]	Loss: 0.0594	LR: 0.004000
Training Epoch: 8 [42496/46250]	Loss: 0.0255	LR: 0.004000
Training Epoch: 8 [42752/46250]	Loss: 0.0179	LR: 0.004000
Training Epoch: 8 [43008/46250]	Loss: 0.0242	LR: 0.004000
Training Epoch: 8 [43264/46250]	Loss: 0.0224	LR: 0.004000
Training Epoch: 8 [43520/46250]	Loss: 0.0297	LR: 0.004000
Training Epoch: 8 [43776/46250]	Loss: 0.0190	LR: 0.004000
Training Epoch: 8 [44032/46250]	Loss: 0.0199	LR: 0.004000
Training Epoch: 8 [44288/46250]	Loss: 0.0297	LR: 0.004000
Training Epoch: 8 [44544/46250]	Loss: 0.0210	LR: 0.004000
Training Epoch: 8 [44800/46250]	Loss: 0.0157	LR: 0.004000
Training Epoch: 8 [45056/46250]	Loss: 0.0176	LR: 0.004000
Training Epoch: 8 [45312/46250]	Loss: 0.0346	LR: 0.004000
Training Epoch: 8 [45568/46250]	Loss: 0.0272	LR: 0.004000
Training Epoch: 8 [45824/46250]	Loss: 0.0296	LR: 0.004000
Training Epoch: 8 [46080/46250]	Loss: 0.0209	LR: 0.004000
Training Epoch: 8 [46250/46250]	Loss: 0.0329	LR: 0.004000
Epoch 8 - Average Train Loss: 0.0246, Train Accuracy: 0.9978
Epoch 8 training time consumed: 17.97s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0027, Accuracy: 0.8234, Time consumed:1.01s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_13h_51m_11s/ResNet18-Cifar10-seed10-ret25-8-best.pth
Training Epoch: 9 [256/46250]	Loss: 0.0192	LR: 0.000800
Training Epoch: 9 [512/46250]	Loss: 0.0125	LR: 0.000800
Training Epoch: 9 [768/46250]	Loss: 0.0121	LR: 0.000800
Training Epoch: 9 [1024/46250]	Loss: 0.0161	LR: 0.000800
Training Epoch: 9 [1280/46250]	Loss: 0.0121	LR: 0.000800
Training Epoch: 9 [1536/46250]	Loss: 0.0193	LR: 0.000800
Training Epoch: 9 [1792/46250]	Loss: 0.0222	LR: 0.000800
Training Epoch: 9 [2048/46250]	Loss: 0.0102	LR: 0.000800
Training Epoch: 9 [2304/46250]	Loss: 0.0119	LR: 0.000800
Training Epoch: 9 [2560/46250]	Loss: 0.0119	LR: 0.000800
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Training Epoch: 9 [4096/46250]	Loss: 0.0114	LR: 0.000800
Training Epoch: 9 [4352/46250]	Loss: 0.0173	LR: 0.000800
Training Epoch: 9 [4608/46250]	Loss: 0.0123	LR: 0.000800
Training Epoch: 9 [4864/46250]	Loss: 0.0095	LR: 0.000800
Training Epoch: 9 [5120/46250]	Loss: 0.0117	LR: 0.000800
Training Epoch: 9 [5376/46250]	Loss: 0.0123	LR: 0.000800
Training Epoch: 9 [5632/46250]	Loss: 0.0145	LR: 0.000800
Training Epoch: 9 [5888/46250]	Loss: 0.0180	LR: 0.000800
Training Epoch: 9 [6144/46250]	Loss: 0.0089	LR: 0.000800
Training Epoch: 9 [6400/46250]	Loss: 0.0131	LR: 0.000800
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Training Epoch: 9 [7168/46250]	Loss: 0.0098	LR: 0.000800
Training Epoch: 9 [7424/46250]	Loss: 0.0089	LR: 0.000800
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Training Epoch: 9 [8448/46250]	Loss: 0.0074	LR: 0.000800
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Training Epoch: 9 [9728/46250]	Loss: 0.0121	LR: 0.000800
Training Epoch: 9 [9984/46250]	Loss: 0.0138	LR: 0.000800
Training Epoch: 9 [10240/46250]	Loss: 0.0096	LR: 0.000800
Training Epoch: 9 [10496/46250]	Loss: 0.0149	LR: 0.000800
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Training Epoch: 9 [11008/46250]	Loss: 0.0084	LR: 0.000800
Training Epoch: 9 [11264/46250]	Loss: 0.0170	LR: 0.000800
Training Epoch: 9 [11520/46250]	Loss: 0.0098	LR: 0.000800
Training Epoch: 9 [11776/46250]	Loss: 0.0127	LR: 0.000800
Training Epoch: 9 [12032/46250]	Loss: 0.0095	LR: 0.000800
Training Epoch: 9 [12288/46250]	Loss: 0.0093	LR: 0.000800
Training Epoch: 9 [12544/46250]	Loss: 0.0114	LR: 0.000800
Training Epoch: 9 [12800/46250]	Loss: 0.0228	LR: 0.000800
Training Epoch: 9 [13056/46250]	Loss: 0.0148	LR: 0.000800
Training Epoch: 9 [13312/46250]	Loss: 0.0106	LR: 0.000800
Training Epoch: 9 [13568/46250]	Loss: 0.0117	LR: 0.000800
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Training Epoch: 9 [27904/46250]	Loss: 0.0091	LR: 0.000800
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Training Epoch: 9 [28416/46250]	Loss: 0.0092	LR: 0.000800
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Training Epoch: 9 [35584/46250]	Loss: 0.0119	LR: 0.000800
Training Epoch: 9 [35840/46250]	Loss: 0.0093	LR: 0.000800
Training Epoch: 9 [36096/46250]	Loss: 0.0117	LR: 0.000800
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Training Epoch: 9 [36608/46250]	Loss: 0.0086	LR: 0.000800
Training Epoch: 9 [36864/46250]	Loss: 0.0113	LR: 0.000800
Training Epoch: 9 [37120/46250]	Loss: 0.0136	LR: 0.000800
Training Epoch: 9 [37376/46250]	Loss: 0.0089	LR: 0.000800
Training Epoch: 9 [37632/46250]	Loss: 0.0131	LR: 0.000800
Training Epoch: 9 [37888/46250]	Loss: 0.0094	LR: 0.000800
Training Epoch: 9 [38144/46250]	Loss: 0.0119	LR: 0.000800
Training Epoch: 9 [38400/46250]	Loss: 0.0104	LR: 0.000800
Training Epoch: 9 [38656/46250]	Loss: 0.0089	LR: 0.000800
Training Epoch: 9 [38912/46250]	Loss: 0.0112	LR: 0.000800
Training Epoch: 9 [39168/46250]	Loss: 0.0110	LR: 0.000800
Training Epoch: 9 [39424/46250]	Loss: 0.0127	LR: 0.000800
Training Epoch: 9 [39680/46250]	Loss: 0.0146	LR: 0.000800
Training Epoch: 9 [39936/46250]	Loss: 0.0111	LR: 0.000800
Training Epoch: 9 [40192/46250]	Loss: 0.0116	LR: 0.000800
Training Epoch: 9 [40448/46250]	Loss: 0.0097	LR: 0.000800
Training Epoch: 9 [40704/46250]	Loss: 0.0115	LR: 0.000800
Training Epoch: 9 [40960/46250]	Loss: 0.0086	LR: 0.000800
Training Epoch: 9 [41216/46250]	Loss: 0.0096	LR: 0.000800
Training Epoch: 9 [41472/46250]	Loss: 0.0124	LR: 0.000800
Training Epoch: 9 [41728/46250]	Loss: 0.0095	LR: 0.000800
Training Epoch: 9 [41984/46250]	Loss: 0.0084	LR: 0.000800
Training Epoch: 9 [42240/46250]	Loss: 0.0103	LR: 0.000800
Training Epoch: 9 [42496/46250]	Loss: 0.0070	LR: 0.000800
Training Epoch: 9 [42752/46250]	Loss: 0.0143	LR: 0.000800
Training Epoch: 9 [43008/46250]	Loss: 0.0097	LR: 0.000800
Training Epoch: 9 [43264/46250]	Loss: 0.0112	LR: 0.000800
Training Epoch: 9 [43520/46250]	Loss: 0.0124	LR: 0.000800
Training Epoch: 9 [43776/46250]	Loss: 0.0102	LR: 0.000800
Training Epoch: 9 [44032/46250]	Loss: 0.0133	LR: 0.000800
Training Epoch: 9 [44288/46250]	Loss: 0.0105	LR: 0.000800
Training Epoch: 9 [44544/46250]	Loss: 0.0092	LR: 0.000800
Training Epoch: 9 [44800/46250]	Loss: 0.0094	LR: 0.000800
Training Epoch: 9 [45056/46250]	Loss: 0.0106	LR: 0.000800
Training Epoch: 9 [45312/46250]	Loss: 0.0113	LR: 0.000800
Training Epoch: 9 [45568/46250]	Loss: 0.0131	LR: 0.000800
Training Epoch: 9 [45824/46250]	Loss: 0.0085	LR: 0.000800
Training Epoch: 9 [46080/46250]	Loss: 0.0116	LR: 0.000800
Training Epoch: 9 [46250/46250]	Loss: 0.0105	LR: 0.000800
Epoch 9 - Average Train Loss: 0.0119, Train Accuracy: 0.9998
Epoch 9 training time consumed: 18.32s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0027, Accuracy: 0.8218, Time consumed:1.05s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_13h_51m_11s/ResNet18-Cifar10-seed10-ret25-9-best.pth
Training Epoch: 10 [256/46250]	Loss: 0.0114	LR: 0.000800
Training Epoch: 10 [512/46250]	Loss: 0.0101	LR: 0.000800
Training Epoch: 10 [768/46250]	Loss: 0.0092	LR: 0.000800
Training Epoch: 10 [1024/46250]	Loss: 0.0154	LR: 0.000800
Training Epoch: 10 [1280/46250]	Loss: 0.0081	LR: 0.000800
Training Epoch: 10 [1536/46250]	Loss: 0.0098	LR: 0.000800
Training Epoch: 10 [1792/46250]	Loss: 0.0096	LR: 0.000800
Training Epoch: 10 [2048/46250]	Loss: 0.0095	LR: 0.000800
Training Epoch: 10 [2304/46250]	Loss: 0.0082	LR: 0.000800
Training Epoch: 10 [2560/46250]	Loss: 0.0085	LR: 0.000800
Training Epoch: 10 [2816/46250]	Loss: 0.0118	LR: 0.000800
Training Epoch: 10 [3072/46250]	Loss: 0.0088	LR: 0.000800
Training Epoch: 10 [3328/46250]	Loss: 0.0102	LR: 0.000800
Training Epoch: 10 [3584/46250]	Loss: 0.0086	LR: 0.000800
Training Epoch: 10 [3840/46250]	Loss: 0.0135	LR: 0.000800
Training Epoch: 10 [4096/46250]	Loss: 0.0104	LR: 0.000800
Training Epoch: 10 [4352/46250]	Loss: 0.0084	LR: 0.000800
Training Epoch: 10 [4608/46250]	Loss: 0.0140	LR: 0.000800
Training Epoch: 10 [4864/46250]	Loss: 0.0082	LR: 0.000800
Training Epoch: 10 [5120/46250]	Loss: 0.0134	LR: 0.000800
Training Epoch: 10 [5376/46250]	Loss: 0.0127	LR: 0.000800
Training Epoch: 10 [5632/46250]	Loss: 0.0079	LR: 0.000800
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Training Epoch: 10 [6144/46250]	Loss: 0.0093	LR: 0.000800
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Training Epoch: 10 [8192/46250]	Loss: 0.0094	LR: 0.000800
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Training Epoch: 10 [8704/46250]	Loss: 0.0098	LR: 0.000800
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Training Epoch: 10 [10496/46250]	Loss: 0.0096	LR: 0.000800
Training Epoch: 10 [10752/46250]	Loss: 0.0089	LR: 0.000800
Training Epoch: 10 [11008/46250]	Loss: 0.0103	LR: 0.000800
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Training Epoch: 10 [12032/46250]	Loss: 0.0095	LR: 0.000800
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Training Epoch: 10 [12544/46250]	Loss: 0.0085	LR: 0.000800
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Training Epoch: 10 [13312/46250]	Loss: 0.0128	LR: 0.000800
Training Epoch: 10 [13568/46250]	Loss: 0.0106	LR: 0.000800
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Training Epoch: 10 [14080/46250]	Loss: 0.0098	LR: 0.000800
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Training Epoch: 10 [14848/46250]	Loss: 0.0100	LR: 0.000800
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Training Epoch: 10 [22016/46250]	Loss: 0.0079	LR: 0.000800
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Training Epoch: 10 [22528/46250]	Loss: 0.0088	LR: 0.000800
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Training Epoch: 10 [24832/46250]	Loss: 0.0179	LR: 0.000800
Training Epoch: 10 [25088/46250]	Loss: 0.0097	LR: 0.000800
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Training Epoch: 10 [28416/46250]	Loss: 0.0092	LR: 0.000800
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Training Epoch: 10 [28928/46250]	Loss: 0.0090	LR: 0.000800
Training Epoch: 10 [29184/46250]	Loss: 0.0089	LR: 0.000800
Training Epoch: 10 [29440/46250]	Loss: 0.0079	LR: 0.000800
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Training Epoch: 10 [34304/46250]	Loss: 0.0088	LR: 0.000800
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Training Epoch: 10 [34816/46250]	Loss: 0.0096	LR: 0.000800
Training Epoch: 10 [35072/46250]	Loss: 0.0084	LR: 0.000800
Training Epoch: 10 [35328/46250]	Loss: 0.0096	LR: 0.000800
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Training Epoch: 10 [35840/46250]	Loss: 0.0082	LR: 0.000800
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Training Epoch: 10 [36352/46250]	Loss: 0.0087	LR: 0.000800
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Training Epoch: 10 [38656/46250]	Loss: 0.0089	LR: 0.000800
Training Epoch: 10 [38912/46250]	Loss: 0.0082	LR: 0.000800
Training Epoch: 10 [39168/46250]	Loss: 0.0090	LR: 0.000800
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Training Epoch: 10 [39680/46250]	Loss: 0.0141	LR: 0.000800
Training Epoch: 10 [39936/46250]	Loss: 0.0094	LR: 0.000800
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Training Epoch: 10 [40448/46250]	Loss: 0.0091	LR: 0.000800
Training Epoch: 10 [40704/46250]	Loss: 0.0099	LR: 0.000800
Training Epoch: 10 [40960/46250]	Loss: 0.0104	LR: 0.000800
Training Epoch: 10 [41216/46250]	Loss: 0.0096	LR: 0.000800
Training Epoch: 10 [41472/46250]	Loss: 0.0091	LR: 0.000800
Training Epoch: 10 [41728/46250]	Loss: 0.0082	LR: 0.000800
Training Epoch: 10 [41984/46250]	Loss: 0.0110	LR: 0.000800
Training Epoch: 10 [42240/46250]	Loss: 0.0073	LR: 0.000800
Training Epoch: 10 [42496/46250]	Loss: 0.0082	LR: 0.000800
Training Epoch: 10 [42752/46250]	Loss: 0.0079	LR: 0.000800
Training Epoch: 10 [43008/46250]	Loss: 0.0101	LR: 0.000800
Training Epoch: 10 [43264/46250]	Loss: 0.0092	LR: 0.000800
Training Epoch: 10 [43520/46250]	Loss: 0.0118	LR: 0.000800
Training Epoch: 10 [43776/46250]	Loss: 0.0078	LR: 0.000800
Training Epoch: 10 [44032/46250]	Loss: 0.0092	LR: 0.000800
Training Epoch: 10 [44288/46250]	Loss: 0.0090	LR: 0.000800
Training Epoch: 10 [44544/46250]	Loss: 0.0104	LR: 0.000800
Training Epoch: 10 [44800/46250]	Loss: 0.0089	LR: 0.000800
Training Epoch: 10 [45056/46250]	Loss: 0.0090	LR: 0.000800
Training Epoch: 10 [45312/46250]	Loss: 0.0089	LR: 0.000800
Training Epoch: 10 [45568/46250]	Loss: 0.0120	LR: 0.000800
Training Epoch: 10 [45824/46250]	Loss: 0.0092	LR: 0.000800
Training Epoch: 10 [46080/46250]	Loss: 0.0074	LR: 0.000800
Training Epoch: 10 [46250/46250]	Loss: 0.0064	LR: 0.000800
Epoch 10 - Average Train Loss: 0.0097, Train Accuracy: 0.9999
Epoch 10 training time consumed: 18.29s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0027, Accuracy: 0.8241, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_13h_51m_11s/ResNet18-Cifar10-seed10-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: 82.236328125
Retain Accuracy: 99.99784088134766
Zero-Retain Forget (ZRF): 0.7777564525604248
Membership Inference Attack (MIA): 0.6128
Forget vs Retain Membership Inference Attack (MIA): 0.6086666666666667
Forget vs Test Membership Inference Attack (MIA): 0.492
Test vs Retain Membership Inference Attack (MIA): 0.619
Train vs Test Membership Inference Attack (MIA): 0.643
Forget Set Accuracy (Df): 82.86332702636719
Method Execution Time: 1108.35 seconds
