
📌S Retain class distribution for seed 3:
Class 0: 5323
Class 1: 6142
Class 2: 5358
Class 3: 5531
Class 4: 5242
Class 5: 4821
Class 6: 5318
Class 7: 5665
Class 8: 5251
Class 9: 5349

📌S Forget class distribution for seed 3:
Class 0: 600
Class 1: 600
Class 2: 600
Class 3: 600
Class 4: 600
Class 5: 600
Class 6: 600
Class 7: 600
Class 8: 600
Class 9: 600
78

📊 Updated class distribution:
Retain set:
  Class 0: 5773
  Class 1: 6592
  Class 2: 5808
  Class 3: 5981
  Class 4: 5692
  Class 5: 5271
  Class 6: 5768
  Class 7: 6115
  Class 8: 5701
  Class 9: 5799
Forget set:
  Class 0: 150
  Class 1: 150
  Class 2: 150
  Class 3: 150
  Class 4: 150
  Class 5: 150
  Class 6: 150
  Class 7: 150
  Class 8: 150
  Class 9: 150
⚠️ Warning: Retain train loader may not be shuffled.
Training Epoch: 1 [256/58500]	Loss: 2.3544	LR: 0.000000
Training Epoch: 1 [512/58500]	Loss: 2.3425	LR: 0.000437
Training Epoch: 1 [768/58500]	Loss: 2.3687	LR: 0.000873
Training Epoch: 1 [1024/58500]	Loss: 2.3397	LR: 0.001310
Training Epoch: 1 [1280/58500]	Loss: 2.2954	LR: 0.001747
Training Epoch: 1 [1536/58500]	Loss: 2.2747	LR: 0.002183
Training Epoch: 1 [1792/58500]	Loss: 2.1513	LR: 0.002620
Training Epoch: 1 [2048/58500]	Loss: 2.1510	LR: 0.003057
Training Epoch: 1 [2304/58500]	Loss: 2.0426	LR: 0.003493
Training Epoch: 1 [2560/58500]	Loss: 1.9828	LR: 0.003930
Training Epoch: 1 [2816/58500]	Loss: 1.9550	LR: 0.004367
Training Epoch: 1 [3072/58500]	Loss: 1.7730	LR: 0.004803
Training Epoch: 1 [3328/58500]	Loss: 1.6930	LR: 0.005240
Training Epoch: 1 [3584/58500]	Loss: 1.5783	LR: 0.005677
Training Epoch: 1 [3840/58500]	Loss: 1.6093	LR: 0.006114
Training Epoch: 1 [4096/58500]	Loss: 1.3966	LR: 0.006550
Training Epoch: 1 [4352/58500]	Loss: 1.4257	LR: 0.006987
Training Epoch: 1 [4608/58500]	Loss: 1.1676	LR: 0.007424
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Training Epoch: 1 [10240/58500]	Loss: 0.2492	LR: 0.017031
Training Epoch: 1 [10496/58500]	Loss: 0.2064	LR: 0.017467
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Training Epoch: 1 [11008/58500]	Loss: 0.1447	LR: 0.018341
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Training Epoch: 1 [11520/58500]	Loss: 0.1361	LR: 0.019214
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Training Epoch: 1 [12032/58500]	Loss: 0.1803	LR: 0.020087
Training Epoch: 1 [12288/58500]	Loss: 0.1267	LR: 0.020524
Training Epoch: 1 [12544/58500]	Loss: 0.1040	LR: 0.020961
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Training Epoch: 1 [13056/58500]	Loss: 0.0990	LR: 0.021834
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Training Epoch: 1 [23040/58500]	Loss: 0.0848	LR: 0.038865
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Training Epoch: 1 [23808/58500]	Loss: 0.1249	LR: 0.040175
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Training Epoch: 1 [25600/58500]	Loss: 0.0854	LR: 0.043231
Training Epoch: 1 [25856/58500]	Loss: 0.1106	LR: 0.043668
Training Epoch: 1 [26112/58500]	Loss: 0.0990	LR: 0.044105
Training Epoch: 1 [26368/58500]	Loss: 0.0612	LR: 0.044541
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Training Epoch: 1 [27648/58500]	Loss: 0.1075	LR: 0.046725
Training Epoch: 1 [27904/58500]	Loss: 0.0859	LR: 0.047162
Training Epoch: 1 [28160/58500]	Loss: 0.1108	LR: 0.047598
Training Epoch: 1 [28416/58500]	Loss: 0.0461	LR: 0.048035
Training Epoch: 1 [28672/58500]	Loss: 0.1216	LR: 0.048472
Training Epoch: 1 [28928/58500]	Loss: 0.0909	LR: 0.048908
Training Epoch: 1 [29184/58500]	Loss: 0.0387	LR: 0.049345
Training Epoch: 1 [29440/58500]	Loss: 0.1112	LR: 0.049782
Training Epoch: 1 [29696/58500]	Loss: 0.1562	LR: 0.050218
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Training Epoch: 1 [32256/58500]	Loss: 0.1536	LR: 0.054585
Training Epoch: 1 [32512/58500]	Loss: 0.1352	LR: 0.055022
Training Epoch: 1 [32768/58500]	Loss: 0.1248	LR: 0.055459
Training Epoch: 1 [33024/58500]	Loss: 0.1015	LR: 0.055895
Training Epoch: 1 [33280/58500]	Loss: 0.0850	LR: 0.056332
Training Epoch: 1 [33536/58500]	Loss: 0.0871	LR: 0.056769
Training Epoch: 1 [33792/58500]	Loss: 0.0817	LR: 0.057205
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Training Epoch: 1 [34560/58500]	Loss: 0.0550	LR: 0.058515
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Training Epoch: 1 [35328/58500]	Loss: 0.0453	LR: 0.059825
Training Epoch: 1 [35584/58500]	Loss: 0.0427	LR: 0.060262
Training Epoch: 1 [35840/58500]	Loss: 0.0598	LR: 0.060699
Training Epoch: 1 [36096/58500]	Loss: 0.1266	LR: 0.061135
Training Epoch: 1 [36352/58500]	Loss: 0.1061	LR: 0.061572
Training Epoch: 1 [36608/58500]	Loss: 0.0383	LR: 0.062009
Training Epoch: 1 [36864/58500]	Loss: 0.0738	LR: 0.062445
Training Epoch: 1 [37120/58500]	Loss: 0.0451	LR: 0.062882
Training Epoch: 1 [37376/58500]	Loss: 0.0592	LR: 0.063319
Training Epoch: 1 [37632/58500]	Loss: 0.0746	LR: 0.063755
Training Epoch: 1 [37888/58500]	Loss: 0.0982	LR: 0.064192
Training Epoch: 1 [38144/58500]	Loss: 0.0654	LR: 0.064629
Training Epoch: 1 [38400/58500]	Loss: 0.0394	LR: 0.065066
Training Epoch: 1 [38656/58500]	Loss: 0.0456	LR: 0.065502
Training Epoch: 1 [38912/58500]	Loss: 0.0232	LR: 0.065939
Training Epoch: 1 [39168/58500]	Loss: 0.1628	LR: 0.066376
Training Epoch: 1 [39424/58500]	Loss: 0.0209	LR: 0.066812
Training Epoch: 1 [39680/58500]	Loss: 0.0551	LR: 0.067249
Training Epoch: 1 [39936/58500]	Loss: 0.0712	LR: 0.067686
Training Epoch: 1 [40192/58500]	Loss: 0.0751	LR: 0.068122
Training Epoch: 1 [40448/58500]	Loss: 0.0259	LR: 0.068559
Training Epoch: 1 [40704/58500]	Loss: 0.0523	LR: 0.068996
Training Epoch: 1 [40960/58500]	Loss: 0.0348	LR: 0.069432
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Training Epoch: 1 [41472/58500]	Loss: 0.0876	LR: 0.070306
Training Epoch: 1 [41728/58500]	Loss: 0.1052	LR: 0.070742
Training Epoch: 1 [41984/58500]	Loss: 0.0662	LR: 0.071179
Training Epoch: 1 [42240/58500]	Loss: 0.0836	LR: 0.071616
Training Epoch: 1 [42496/58500]	Loss: 0.0996	LR: 0.072052
Training Epoch: 1 [42752/58500]	Loss: 0.0462	LR: 0.072489
Training Epoch: 1 [43008/58500]	Loss: 0.1025	LR: 0.072926
Training Epoch: 1 [43264/58500]	Loss: 0.1721	LR: 0.073362
Training Epoch: 1 [43520/58500]	Loss: 0.1047	LR: 0.073799
Training Epoch: 1 [43776/58500]	Loss: 0.0616	LR: 0.074236
Training Epoch: 1 [44032/58500]	Loss: 0.1620	LR: 0.074672
Training Epoch: 1 [44288/58500]	Loss: 0.0376	LR: 0.075109
Training Epoch: 1 [44544/58500]	Loss: 0.0742	LR: 0.075546
Training Epoch: 1 [44800/58500]	Loss: 0.0794	LR: 0.075983
Training Epoch: 1 [45056/58500]	Loss: 0.0562	LR: 0.076419
Training Epoch: 1 [45312/58500]	Loss: 0.0301	LR: 0.076856
Training Epoch: 1 [45568/58500]	Loss: 0.0773	LR: 0.077293
Training Epoch: 1 [45824/58500]	Loss: 0.0458	LR: 0.077729
Training Epoch: 1 [46080/58500]	Loss: 0.0299	LR: 0.078166
Training Epoch: 1 [46336/58500]	Loss: 0.0470	LR: 0.078603
Training Epoch: 1 [46592/58500]	Loss: 0.0463	LR: 0.079039
Training Epoch: 1 [46848/58500]	Loss: 0.0846	LR: 0.079476
Training Epoch: 1 [47104/58500]	Loss: 0.1552	LR: 0.079913
Training Epoch: 1 [47360/58500]	Loss: 0.0802	LR: 0.080349
Training Epoch: 1 [47616/58500]	Loss: 0.1229	LR: 0.080786
Training Epoch: 1 [47872/58500]	Loss: 0.0521	LR: 0.081223
Training Epoch: 1 [48128/58500]	Loss: 0.0747	LR: 0.081659
Training Epoch: 1 [48384/58500]	Loss: 0.0850	LR: 0.082096
Training Epoch: 1 [48640/58500]	Loss: 0.0613	LR: 0.082533
Training Epoch: 1 [48896/58500]	Loss: 0.1249	LR: 0.082969
Training Epoch: 1 [49152/58500]	Loss: 0.0755	LR: 0.083406
Training Epoch: 1 [49408/58500]	Loss: 0.1545	LR: 0.083843
Training Epoch: 1 [49664/58500]	Loss: 0.0653	LR: 0.084279
Training Epoch: 1 [49920/58500]	Loss: 0.0975	LR: 0.084716
Training Epoch: 1 [50176/58500]	Loss: 0.0695	LR: 0.085153
Training Epoch: 1 [50432/58500]	Loss: 0.1168	LR: 0.085590
Training Epoch: 1 [50688/58500]	Loss: 0.1503	LR: 0.086026
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Training Epoch: 1 [51200/58500]	Loss: 0.0234	LR: 0.086900
Training Epoch: 1 [51456/58500]	Loss: 0.0985	LR: 0.087336
Training Epoch: 1 [51712/58500]	Loss: 0.0902	LR: 0.087773
Training Epoch: 1 [51968/58500]	Loss: 0.0871	LR: 0.088210
Training Epoch: 1 [52224/58500]	Loss: 0.0898	LR: 0.088646
Training Epoch: 1 [52480/58500]	Loss: 0.0595	LR: 0.089083
Training Epoch: 1 [52736/58500]	Loss: 0.1076	LR: 0.089520
Training Epoch: 1 [52992/58500]	Loss: 0.0441	LR: 0.089956
Training Epoch: 1 [53248/58500]	Loss: 0.0530	LR: 0.090393
Training Epoch: 1 [53504/58500]	Loss: 0.1461	LR: 0.090830
Training Epoch: 1 [53760/58500]	Loss: 0.0694	LR: 0.091266
Training Epoch: 1 [54016/58500]	Loss: 0.0427	LR: 0.091703
Training Epoch: 1 [54272/58500]	Loss: 0.1485	LR: 0.092140
Training Epoch: 1 [54528/58500]	Loss: 0.0795	LR: 0.092576
Training Epoch: 1 [54784/58500]	Loss: 0.0747	LR: 0.093013
Training Epoch: 1 [55040/58500]	Loss: 0.0591	LR: 0.093450
Training Epoch: 1 [55296/58500]	Loss: 0.0465	LR: 0.093886
Training Epoch: 1 [55552/58500]	Loss: 0.1149	LR: 0.094323
Training Epoch: 1 [55808/58500]	Loss: 0.1655	LR: 0.094760
Training Epoch: 1 [56064/58500]	Loss: 0.0721	LR: 0.095197
Training Epoch: 1 [56320/58500]	Loss: 0.0298	LR: 0.095633
Training Epoch: 1 [56576/58500]	Loss: 0.0490	LR: 0.096070
Training Epoch: 1 [56832/58500]	Loss: 0.0931	LR: 0.096507
Training Epoch: 1 [57088/58500]	Loss: 0.0417	LR: 0.096943
Training Epoch: 1 [57344/58500]	Loss: 0.0631	LR: 0.097380
Training Epoch: 1 [57600/58500]	Loss: 0.0977	LR: 0.097817
Training Epoch: 1 [57856/58500]	Loss: 0.1175	LR: 0.098253
Training Epoch: 1 [58112/58500]	Loss: 0.1309	LR: 0.098690
Training Epoch: 1 [58368/58500]	Loss: 0.1391	LR: 0.099127
Training Epoch: 1 [58500/58500]	Loss: 0.0741	LR: 0.099563
Epoch 1 - Average Train Loss: 0.2821, Train Accuracy: 0.9135
Epoch 1 training time consumed: 41.60s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0004, Accuracy: 0.9746, Time consumed:1.54s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_22_July_2025_05h_50m_52s/ResNet18-Mnist-seed3-ret75-1-best.pth
Training Epoch: 2 [256/58500]	Loss: 0.0452	LR: 0.020000
Training Epoch: 2 [512/58500]	Loss: 0.0580	LR: 0.020000
Training Epoch: 2 [768/58500]	Loss: 0.0685	LR: 0.020000
Training Epoch: 2 [1024/58500]	Loss: 0.0914	LR: 0.020000
Training Epoch: 2 [1280/58500]	Loss: 0.0751	LR: 0.020000
Training Epoch: 2 [1536/58500]	Loss: 0.0691	LR: 0.020000
Training Epoch: 2 [1792/58500]	Loss: 0.0286	LR: 0.020000
Training Epoch: 2 [2048/58500]	Loss: 0.0471	LR: 0.020000
Training Epoch: 2 [2304/58500]	Loss: 0.0526	LR: 0.020000
Training Epoch: 2 [2560/58500]	Loss: 0.0447	LR: 0.020000
Training Epoch: 2 [2816/58500]	Loss: 0.0753	LR: 0.020000
Training Epoch: 2 [3072/58500]	Loss: 0.0701	LR: 0.020000
Training Epoch: 2 [3328/58500]	Loss: 0.0596	LR: 0.020000
Training Epoch: 2 [3584/58500]	Loss: 0.0612	LR: 0.020000
Training Epoch: 2 [3840/58500]	Loss: 0.0345	LR: 0.020000
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Training Epoch: 2 [4352/58500]	Loss: 0.1010	LR: 0.020000
Training Epoch: 2 [4608/58500]	Loss: 0.0158	LR: 0.020000
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Training Epoch: 2 [5376/58500]	Loss: 0.0295	LR: 0.020000
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Training Epoch: 2 [5888/58500]	Loss: 0.0339	LR: 0.020000
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Training Epoch: 2 [8448/58500]	Loss: 0.0373	LR: 0.020000
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Training Epoch: 2 [9984/58500]	Loss: 0.1002	LR: 0.020000
Training Epoch: 2 [10240/58500]	Loss: 0.0439	LR: 0.020000
Training Epoch: 2 [10496/58500]	Loss: 0.0350	LR: 0.020000
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Training Epoch: 2 [58368/58500]	Loss: 0.0391	LR: 0.020000
Training Epoch: 2 [58500/58500]	Loss: 0.0191	LR: 0.020000
Epoch 2 - Average Train Loss: 0.0329, Train Accuracy: 0.9899
Epoch 2 training time consumed: 40.71s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0001, Accuracy: 0.9940, Time consumed:1.49s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_22_July_2025_05h_50m_52s/ResNet18-Mnist-seed3-ret75-2-best.pth
Training Epoch: 3 [256/58500]	Loss: 0.0163	LR: 0.004000
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Training Epoch: 3 [25088/58500]	Loss: 0.0053	LR: 0.004000
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Training Epoch: 3 [51712/58500]	Loss: 0.0046	LR: 0.004000
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Training Epoch: 3 [52736/58500]	Loss: 0.0179	LR: 0.004000
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Training Epoch: 3 [54528/58500]	Loss: 0.0187	LR: 0.004000
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Training Epoch: 3 [55040/58500]	Loss: 0.0233	LR: 0.004000
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Training Epoch: 3 [55552/58500]	Loss: 0.0098	LR: 0.004000
Training Epoch: 3 [55808/58500]	Loss: 0.0286	LR: 0.004000
Training Epoch: 3 [56064/58500]	Loss: 0.0131	LR: 0.004000
Training Epoch: 3 [56320/58500]	Loss: 0.0141	LR: 0.004000
Training Epoch: 3 [56576/58500]	Loss: 0.0702	LR: 0.004000
Training Epoch: 3 [56832/58500]	Loss: 0.0056	LR: 0.004000
Training Epoch: 3 [57088/58500]	Loss: 0.0340	LR: 0.004000
Training Epoch: 3 [57344/58500]	Loss: 0.0115	LR: 0.004000
Training Epoch: 3 [57600/58500]	Loss: 0.0104	LR: 0.004000
Training Epoch: 3 [57856/58500]	Loss: 0.0367	LR: 0.004000
Training Epoch: 3 [58112/58500]	Loss: 0.0093	LR: 0.004000
Training Epoch: 3 [58368/58500]	Loss: 0.0032	LR: 0.004000
Training Epoch: 3 [58500/58500]	Loss: 0.0016	LR: 0.004000
Epoch 3 - Average Train Loss: 0.0181, Train Accuracy: 0.9948
Epoch 3 training time consumed: 41.04s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0001, Accuracy: 0.9956, Time consumed:1.48s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_22_July_2025_05h_50m_52s/ResNet18-Mnist-seed3-ret75-3-best.pth
Training Epoch: 4 [256/58500]	Loss: 0.0079	LR: 0.000800
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Training Epoch: 4 [2816/58500]	Loss: 0.0135	LR: 0.000800
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Training Epoch: 4 [3328/58500]	Loss: 0.0056	LR: 0.000800
Training Epoch: 4 [3584/58500]	Loss: 0.0118	LR: 0.000800
Training Epoch: 4 [3840/58500]	Loss: 0.0298	LR: 0.000800
Training Epoch: 4 [4096/58500]	Loss: 0.0218	LR: 0.000800
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Training Epoch: 4 [9984/58500]	Loss: 0.0222	LR: 0.000800
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Training Epoch: 4 [11264/58500]	Loss: 0.0254	LR: 0.000800
Training Epoch: 4 [11520/58500]	Loss: 0.0076	LR: 0.000800
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Training Epoch: 4 [13568/58500]	Loss: 0.0041	LR: 0.000800
Training Epoch: 4 [13824/58500]	Loss: 0.0124	LR: 0.000800
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Training Epoch: 4 [14336/58500]	Loss: 0.0144	LR: 0.000800
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Training Epoch: 4 [24320/58500]	Loss: 0.0161	LR: 0.000800
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Training Epoch: 4 [25344/58500]	Loss: 0.0061	LR: 0.000800
Training Epoch: 4 [25600/58500]	Loss: 0.0051	LR: 0.000800
Training Epoch: 4 [25856/58500]	Loss: 0.0279	LR: 0.000800
Training Epoch: 4 [26112/58500]	Loss: 0.0412	LR: 0.000800
Training Epoch: 4 [26368/58500]	Loss: 0.0039	LR: 0.000800
Training Epoch: 4 [26624/58500]	Loss: 0.0129	LR: 0.000800
Training Epoch: 4 [26880/58500]	Loss: 0.0211	LR: 0.000800
Training Epoch: 4 [27136/58500]	Loss: 0.0131	LR: 0.000800
Training Epoch: 4 [27392/58500]	Loss: 0.0487	LR: 0.000800
Training Epoch: 4 [27648/58500]	Loss: 0.0114	LR: 0.000800
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Training Epoch: 4 [28416/58500]	Loss: 0.0207	LR: 0.000800
Training Epoch: 4 [28672/58500]	Loss: 0.0442	LR: 0.000800
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Training Epoch: 4 [29184/58500]	Loss: 0.0148	LR: 0.000800
Training Epoch: 4 [29440/58500]	Loss: 0.0138	LR: 0.000800
Training Epoch: 4 [29696/58500]	Loss: 0.0079	LR: 0.000800
Training Epoch: 4 [29952/58500]	Loss: 0.0206	LR: 0.000800
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Training Epoch: 4 [32256/58500]	Loss: 0.0281	LR: 0.000800
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Training Epoch: 4 [33536/58500]	Loss: 0.0058	LR: 0.000800
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Training Epoch: 4 [35584/58500]	Loss: 0.0178	LR: 0.000800
Training Epoch: 4 [35840/58500]	Loss: 0.0172	LR: 0.000800
Training Epoch: 4 [36096/58500]	Loss: 0.0112	LR: 0.000800
Training Epoch: 4 [36352/58500]	Loss: 0.0038	LR: 0.000800
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Training Epoch: 4 [37376/58500]	Loss: 0.0091	LR: 0.000800
Training Epoch: 4 [37632/58500]	Loss: 0.0060	LR: 0.000800
Training Epoch: 4 [37888/58500]	Loss: 0.0234	LR: 0.000800
Training Epoch: 4 [38144/58500]	Loss: 0.0120	LR: 0.000800
Training Epoch: 4 [38400/58500]	Loss: 0.0090	LR: 0.000800
Training Epoch: 4 [38656/58500]	Loss: 0.0368	LR: 0.000800
Training Epoch: 4 [38912/58500]	Loss: 0.0066	LR: 0.000800
Training Epoch: 4 [39168/58500]	Loss: 0.0064	LR: 0.000800
Training Epoch: 4 [39424/58500]	Loss: 0.0142	LR: 0.000800
Training Epoch: 4 [39680/58500]	Loss: 0.0084	LR: 0.000800
Training Epoch: 4 [39936/58500]	Loss: 0.0062	LR: 0.000800
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Training Epoch: 4 [58368/58500]	Loss: 0.0112	LR: 0.000800
Training Epoch: 4 [58500/58500]	Loss: 0.0549	LR: 0.000800
Epoch 4 - Average Train Loss: 0.0156, Train Accuracy: 0.9955
Epoch 4 training time consumed: 40.88s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0001, Accuracy: 0.9958, Time consumed:1.56s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_22_July_2025_05h_50m_52s/ResNet18-Mnist-seed3-ret75-4-best.pth
Training Epoch: 5 [256/58500]	Loss: 0.0096	LR: 0.000800
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Training Epoch: 5 [54784/58500]	Loss: 0.0088	LR: 0.000800
Training Epoch: 5 [55040/58500]	Loss: 0.0038	LR: 0.000800
Training Epoch: 5 [55296/58500]	Loss: 0.0320	LR: 0.000800
Training Epoch: 5 [55552/58500]	Loss: 0.0069	LR: 0.000800
Training Epoch: 5 [55808/58500]	Loss: 0.0128	LR: 0.000800
Training Epoch: 5 [56064/58500]	Loss: 0.0178	LR: 0.000800
Training Epoch: 5 [56320/58500]	Loss: 0.0250	LR: 0.000800
Training Epoch: 5 [56576/58500]	Loss: 0.0256	LR: 0.000800
Training Epoch: 5 [56832/58500]	Loss: 0.0258	LR: 0.000800
Training Epoch: 5 [57088/58500]	Loss: 0.0135	LR: 0.000800
Training Epoch: 5 [57344/58500]	Loss: 0.0071	LR: 0.000800
Training Epoch: 5 [57600/58500]	Loss: 0.0104	LR: 0.000800
Training Epoch: 5 [57856/58500]	Loss: 0.0155	LR: 0.000800
Training Epoch: 5 [58112/58500]	Loss: 0.0176	LR: 0.000800
Training Epoch: 5 [58368/58500]	Loss: 0.0195	LR: 0.000800
Training Epoch: 5 [58500/58500]	Loss: 0.0080	LR: 0.000800
Epoch 5 - Average Train Loss: 0.0150, Train Accuracy: 0.9955
Epoch 5 training time consumed: 40.97s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0001, Accuracy: 0.9959, Time consumed:1.53s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_22_July_2025_05h_50m_52s/ResNet18-Mnist-seed3-ret75-5-best.pth
Valid (Test) Dl:  10000
Train Dl:  60000
Retain Train Dl:  58500
Forget Train Dl:  1500
Retain Valid Dl:  58500
Forget Valid Dl:  1500
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 1500 samples
Set1 Distribution: 1500 samples
Set2 Distribution: 1500 samples
Set1 Distribution: 1500 samples
Set2 Distribution: 1500 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Test Accuracy: 99.599609375
Retain Accuracy: 99.60787200927734
Zero-Retain Forget (ZRF): 0.7311663031578064
Membership Inference Attack (MIA): 0.86
Forget vs Retain Membership Inference Attack (MIA): 0.5266666666666666
Forget vs Test Membership Inference Attack (MIA): 0.4816666666666667
Test vs Retain Membership Inference Attack (MIA): 0.527
Train vs Test Membership Inference Attack (MIA): 0.4935
Forget Set Accuracy (Df): 99.17613983154297
Method Execution Time: 1345.74 seconds
