
Retain class distribution for seed 8:
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

Forget class distribution for seed 8:
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

Updated class distribution:
Retain set:
  Class 0: 4750
  Class 1: 4750
  Class 2: 4750
  Class 3: 4750
  Class 4: 4750
  Class 5: 4750
  Class 6: 4750
  Class 7: 4750
  Class 8: 4750
  Class 9: 4750
Forget set:
  Class 0: 250
  Class 1: 250
  Class 2: 250
  Class 3: 250
  Class 4: 250
  Class 5: 250
  Class 6: 250
  Class 7: 250
  Class 8: 250
  Class 9: 250
⚠️ Warning: Retain train loader may not be shuffled.
Training Epoch: 1 [256/47500]	Loss: 2.4460	LR: 0.000000
Training Epoch: 1 [512/47500]	Loss: 2.4318	LR: 0.000538
Training Epoch: 1 [768/47500]	Loss: 2.4295	LR: 0.001075
Training Epoch: 1 [1024/47500]	Loss: 2.3578	LR: 0.001613
Training Epoch: 1 [1280/47500]	Loss: 2.3353	LR: 0.002151
Training Epoch: 1 [1536/47500]	Loss: 2.2870	LR: 0.002688
Training Epoch: 1 [1792/47500]	Loss: 2.2451	LR: 0.003226
Training Epoch: 1 [2048/47500]	Loss: 2.2011	LR: 0.003763
Training Epoch: 1 [2304/47500]	Loss: 2.3294	LR: 0.004301
Training Epoch: 1 [2560/47500]	Loss: 2.2143	LR: 0.004839
Training Epoch: 1 [2816/47500]	Loss: 2.2544	LR: 0.005376
Training Epoch: 1 [3072/47500]	Loss: 2.2685	LR: 0.005914
Training Epoch: 1 [3328/47500]	Loss: 2.1911	LR: 0.006452
Training Epoch: 1 [3584/47500]	Loss: 2.2125	LR: 0.006989
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Training Epoch: 1 [8192/47500]	Loss: 1.9287	LR: 0.016667
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Training Epoch: 1 [9216/47500]	Loss: 1.7911	LR: 0.018817
Training Epoch: 1 [9472/47500]	Loss: 1.7353	LR: 0.019355
Training Epoch: 1 [9728/47500]	Loss: 1.8115	LR: 0.019892
Training Epoch: 1 [9984/47500]	Loss: 1.7924	LR: 0.020430
Training Epoch: 1 [10240/47500]	Loss: 1.6610	LR: 0.020968
Training Epoch: 1 [10496/47500]	Loss: 1.8029	LR: 0.021505
Training Epoch: 1 [10752/47500]	Loss: 1.7887	LR: 0.022043
Training Epoch: 1 [11008/47500]	Loss: 1.7362	LR: 0.022581
Training Epoch: 1 [11264/47500]	Loss: 1.9218	LR: 0.023118
Training Epoch: 1 [11520/47500]	Loss: 1.8524	LR: 0.023656
Training Epoch: 1 [11776/47500]	Loss: 1.7034	LR: 0.024194
Training Epoch: 1 [12032/47500]	Loss: 1.7289	LR: 0.024731
Training Epoch: 1 [12288/47500]	Loss: 1.7109	LR: 0.025269
Training Epoch: 1 [12544/47500]	Loss: 1.7713	LR: 0.025806
Training Epoch: 1 [12800/47500]	Loss: 1.8183	LR: 0.026344
Training Epoch: 1 [13056/47500]	Loss: 1.7643	LR: 0.026882
Training Epoch: 1 [13312/47500]	Loss: 1.7832	LR: 0.027419
Training Epoch: 1 [13568/47500]	Loss: 1.7769	LR: 0.027957
Training Epoch: 1 [13824/47500]	Loss: 1.7975	LR: 0.028495
Training Epoch: 1 [14080/47500]	Loss: 1.7621	LR: 0.029032
Training Epoch: 1 [14336/47500]	Loss: 1.6630	LR: 0.029570
Training Epoch: 1 [14592/47500]	Loss: 1.7681	LR: 0.030108
Training Epoch: 1 [14848/47500]	Loss: 1.7796	LR: 0.030645
Training Epoch: 1 [15104/47500]	Loss: 1.8237	LR: 0.031183
Training Epoch: 1 [15360/47500]	Loss: 1.6732	LR: 0.031720
Training Epoch: 1 [15616/47500]	Loss: 1.8012	LR: 0.032258
Training Epoch: 1 [15872/47500]	Loss: 1.6844	LR: 0.032796
Training Epoch: 1 [16128/47500]	Loss: 1.8292	LR: 0.033333
Training Epoch: 1 [16384/47500]	Loss: 1.7792	LR: 0.033871
Training Epoch: 1 [16640/47500]	Loss: 1.6404	LR: 0.034409
Training Epoch: 1 [16896/47500]	Loss: 1.6496	LR: 0.034946
Training Epoch: 1 [17152/47500]	Loss: 1.9872	LR: 0.035484
Training Epoch: 1 [17408/47500]	Loss: 1.6959	LR: 0.036022
Training Epoch: 1 [17664/47500]	Loss: 1.9533	LR: 0.036559
Training Epoch: 1 [17920/47500]	Loss: 1.7797	LR: 0.037097
Training Epoch: 1 [18176/47500]	Loss: 1.7760	LR: 0.037634
Training Epoch: 1 [18432/47500]	Loss: 1.6470	LR: 0.038172
Training Epoch: 1 [18688/47500]	Loss: 1.6867	LR: 0.038710
Training Epoch: 1 [18944/47500]	Loss: 1.7317	LR: 0.039247
Training Epoch: 1 [19200/47500]	Loss: 1.6987	LR: 0.039785
Training Epoch: 1 [19456/47500]	Loss: 1.8010	LR: 0.040323
Training Epoch: 1 [19712/47500]	Loss: 1.7060	LR: 0.040860
Training Epoch: 1 [19968/47500]	Loss: 1.6633	LR: 0.041398
Training Epoch: 1 [20224/47500]	Loss: 1.6785	LR: 0.041935
Training Epoch: 1 [20480/47500]	Loss: 1.6404	LR: 0.042473
Training Epoch: 1 [20736/47500]	Loss: 1.6424	LR: 0.043011
Training Epoch: 1 [20992/47500]	Loss: 1.6902	LR: 0.043548
Training Epoch: 1 [21248/47500]	Loss: 1.6815	LR: 0.044086
Training Epoch: 1 [21504/47500]	Loss: 1.6856	LR: 0.044624
Training Epoch: 1 [21760/47500]	Loss: 1.7642	LR: 0.045161
Training Epoch: 1 [22016/47500]	Loss: 1.7515	LR: 0.045699
Training Epoch: 1 [22272/47500]	Loss: 1.6058	LR: 0.046237
Training Epoch: 1 [22528/47500]	Loss: 1.6561	LR: 0.046774
Training Epoch: 1 [22784/47500]	Loss: 1.6003	LR: 0.047312
Training Epoch: 1 [23040/47500]	Loss: 1.4856	LR: 0.047849
Training Epoch: 1 [23296/47500]	Loss: 1.6564	LR: 0.048387
Training Epoch: 1 [23552/47500]	Loss: 1.6698	LR: 0.048925
Training Epoch: 1 [23808/47500]	Loss: 1.9258	LR: 0.049462
Training Epoch: 1 [24064/47500]	Loss: 1.8074	LR: 0.050000
Training Epoch: 1 [24320/47500]	Loss: 1.6630	LR: 0.050538
Training Epoch: 1 [24576/47500]	Loss: 1.6241	LR: 0.051075
Training Epoch: 1 [24832/47500]	Loss: 1.7946	LR: 0.051613
Training Epoch: 1 [25088/47500]	Loss: 1.6235	LR: 0.052151
Training Epoch: 1 [25344/47500]	Loss: 1.7350	LR: 0.052688
Training Epoch: 1 [25600/47500]	Loss: 1.6734	LR: 0.053226
Training Epoch: 1 [25856/47500]	Loss: 1.5060	LR: 0.053763
Training Epoch: 1 [26112/47500]	Loss: 1.7350	LR: 0.054301
Training Epoch: 1 [26368/47500]	Loss: 1.7465	LR: 0.054839
Training Epoch: 1 [26624/47500]	Loss: 1.5552	LR: 0.055376
Training Epoch: 1 [26880/47500]	Loss: 1.8095	LR: 0.055914
Training Epoch: 1 [27136/47500]	Loss: 1.5824	LR: 0.056452
Training Epoch: 1 [27392/47500]	Loss: 1.5487	LR: 0.056989
Training Epoch: 1 [27648/47500]	Loss: 1.4112	LR: 0.057527
Training Epoch: 1 [27904/47500]	Loss: 1.5311	LR: 0.058065
Training Epoch: 1 [28160/47500]	Loss: 1.6894	LR: 0.058602
Training Epoch: 1 [28416/47500]	Loss: 1.6621	LR: 0.059140
Training Epoch: 1 [28672/47500]	Loss: 1.4470	LR: 0.059677
Training Epoch: 1 [28928/47500]	Loss: 1.7146	LR: 0.060215
Training Epoch: 1 [29184/47500]	Loss: 1.7077	LR: 0.060753
Training Epoch: 1 [29440/47500]	Loss: 1.5391	LR: 0.061290
Training Epoch: 1 [29696/47500]	Loss: 1.6917	LR: 0.061828
Training Epoch: 1 [29952/47500]	Loss: 1.6929	LR: 0.062366
Training Epoch: 1 [30208/47500]	Loss: 1.5248	LR: 0.062903
Training Epoch: 1 [30464/47500]	Loss: 1.8727	LR: 0.063441
Training Epoch: 1 [30720/47500]	Loss: 1.5800	LR: 0.063978
Training Epoch: 1 [30976/47500]	Loss: 1.6951	LR: 0.064516
Training Epoch: 1 [31232/47500]	Loss: 1.5540	LR: 0.065054
Training Epoch: 1 [31488/47500]	Loss: 1.5495	LR: 0.065591
Training Epoch: 1 [31744/47500]	Loss: 1.6466	LR: 0.066129
Training Epoch: 1 [32000/47500]	Loss: 1.6581	LR: 0.066667
Training Epoch: 1 [32256/47500]	Loss: 1.5275	LR: 0.067204
Training Epoch: 1 [32512/47500]	Loss: 1.5129	LR: 0.067742
Training Epoch: 1 [32768/47500]	Loss: 1.6704	LR: 0.068280
Training Epoch: 1 [33024/47500]	Loss: 1.7099	LR: 0.068817
Training Epoch: 1 [33280/47500]	Loss: 1.5118	LR: 0.069355
Training Epoch: 1 [33536/47500]	Loss: 1.5865	LR: 0.069892
Training Epoch: 1 [33792/47500]	Loss: 1.7524	LR: 0.070430
Training Epoch: 1 [34048/47500]	Loss: 1.7563	LR: 0.070968
Training Epoch: 1 [34304/47500]	Loss: 1.6576	LR: 0.071505
Training Epoch: 1 [34560/47500]	Loss: 1.7562	LR: 0.072043
Training Epoch: 1 [34816/47500]	Loss: 1.5484	LR: 0.072581
Training Epoch: 1 [35072/47500]	Loss: 1.4945	LR: 0.073118
Training Epoch: 1 [35328/47500]	Loss: 1.4520	LR: 0.073656
Training Epoch: 1 [35584/47500]	Loss: 1.5077	LR: 0.074194
Training Epoch: 1 [35840/47500]	Loss: 1.6805	LR: 0.074731
Training Epoch: 1 [36096/47500]	Loss: 1.5847	LR: 0.075269
Training Epoch: 1 [36352/47500]	Loss: 1.4982	LR: 0.075806
Training Epoch: 1 [36608/47500]	Loss: 1.5930	LR: 0.076344
Training Epoch: 1 [36864/47500]	Loss: 1.3930	LR: 0.076882
Training Epoch: 1 [37120/47500]	Loss: 1.6465	LR: 0.077419
Training Epoch: 1 [37376/47500]	Loss: 1.4462	LR: 0.077957
Training Epoch: 1 [37632/47500]	Loss: 1.4733	LR: 0.078495
Training Epoch: 1 [37888/47500]	Loss: 1.4876	LR: 0.079032
Training Epoch: 1 [38144/47500]	Loss: 1.4949	LR: 0.079570
Training Epoch: 1 [38400/47500]	Loss: 1.4705	LR: 0.080108
Training Epoch: 1 [38656/47500]	Loss: 1.4395	LR: 0.080645
Training Epoch: 1 [38912/47500]	Loss: 1.4389	LR: 0.081183
Training Epoch: 1 [39168/47500]	Loss: 1.6315	LR: 0.081720
Training Epoch: 1 [39424/47500]	Loss: 1.5350	LR: 0.082258
Training Epoch: 1 [39680/47500]	Loss: 1.5642	LR: 0.082796
Training Epoch: 1 [39936/47500]	Loss: 1.6525	LR: 0.083333
Training Epoch: 1 [40192/47500]	Loss: 1.5304	LR: 0.083871
Training Epoch: 1 [40448/47500]	Loss: 1.7472	LR: 0.084409
Training Epoch: 1 [40704/47500]	Loss: 1.5852	LR: 0.084946
Training Epoch: 1 [40960/47500]	Loss: 1.6648	LR: 0.085484
Training Epoch: 1 [41216/47500]	Loss: 1.6188	LR: 0.086022
Training Epoch: 1 [41472/47500]	Loss: 1.5328	LR: 0.086559
Training Epoch: 1 [41728/47500]	Loss: 1.5726	LR: 0.087097
Training Epoch: 1 [41984/47500]	Loss: 1.5821	LR: 0.087634
Training Epoch: 1 [42240/47500]	Loss: 1.5761	LR: 0.088172
Training Epoch: 1 [42496/47500]	Loss: 1.5725	LR: 0.088710
Training Epoch: 1 [42752/47500]	Loss: 1.5326	LR: 0.089247
Training Epoch: 1 [43008/47500]	Loss: 1.4504	LR: 0.089785
Training Epoch: 1 [43264/47500]	Loss: 1.5096	LR: 0.090323
Training Epoch: 1 [43520/47500]	Loss: 1.4537	LR: 0.090860
Training Epoch: 1 [43776/47500]	Loss: 1.4674	LR: 0.091398
Training Epoch: 1 [44032/47500]	Loss: 1.2992	LR: 0.091935
Training Epoch: 1 [44288/47500]	Loss: 1.5471	LR: 0.092473
Training Epoch: 1 [44544/47500]	Loss: 1.4133	LR: 0.093011
Training Epoch: 1 [44800/47500]	Loss: 1.5800	LR: 0.093548
Training Epoch: 1 [45056/47500]	Loss: 1.3493	LR: 0.094086
Training Epoch: 1 [45312/47500]	Loss: 1.3789	LR: 0.094624
Training Epoch: 1 [45568/47500]	Loss: 1.3914	LR: 0.095161
Training Epoch: 1 [45824/47500]	Loss: 1.5207	LR: 0.095699
Training Epoch: 1 [46080/47500]	Loss: 1.3861	LR: 0.096237
Training Epoch: 1 [46336/47500]	Loss: 1.4543	LR: 0.096774
Training Epoch: 1 [46592/47500]	Loss: 1.4068	LR: 0.097312
Training Epoch: 1 [46848/47500]	Loss: 1.4239	LR: 0.097849
Training Epoch: 1 [47104/47500]	Loss: 1.2854	LR: 0.098387
Training Epoch: 1 [47360/47500]	Loss: 1.5362	LR: 0.098925
Training Epoch: 1 [47500/47500]	Loss: 1.3122	LR: 0.099462
Epoch 1 - Average Train Loss: 1.7160, Train Accuracy: 0.3754
Epoch 1 training time consumed: 29.60s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0087, Accuracy: 0.3852, Time consumed:1.06s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_15h_52m_48s/ResNet18-Cifar10-seed8-ret50-1-best.pth
Training Epoch: 2 [256/47500]	Loss: 1.6030	LR: 0.100000
Training Epoch: 2 [512/47500]	Loss: 1.4018	LR: 0.100000
Training Epoch: 2 [768/47500]	Loss: 1.5531	LR: 0.100000
Training Epoch: 2 [1024/47500]	Loss: 1.6357	LR: 0.100000
Training Epoch: 2 [1280/47500]	Loss: 1.3687	LR: 0.100000
Training Epoch: 2 [1536/47500]	Loss: 1.5194	LR: 0.100000
Training Epoch: 2 [1792/47500]	Loss: 1.4049	LR: 0.100000
Training Epoch: 2 [2048/47500]	Loss: 1.3199	LR: 0.100000
Training Epoch: 2 [2304/47500]	Loss: 1.4166	LR: 0.100000
Training Epoch: 2 [2560/47500]	Loss: 1.5114	LR: 0.100000
Training Epoch: 2 [2816/47500]	Loss: 1.4323	LR: 0.100000
Training Epoch: 2 [3072/47500]	Loss: 1.3781	LR: 0.100000
Training Epoch: 2 [3328/47500]	Loss: 1.7011	LR: 0.100000
Training Epoch: 2 [3584/47500]	Loss: 1.4480	LR: 0.100000
Training Epoch: 2 [3840/47500]	Loss: 1.2566	LR: 0.100000
Training Epoch: 2 [4096/47500]	Loss: 1.2998	LR: 0.100000
Training Epoch: 2 [4352/47500]	Loss: 1.3158	LR: 0.100000
Training Epoch: 2 [4608/47500]	Loss: 1.2396	LR: 0.100000
Training Epoch: 2 [4864/47500]	Loss: 1.3728	LR: 0.100000
Training Epoch: 2 [5120/47500]	Loss: 1.4454	LR: 0.100000
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Training Epoch: 2 [5632/47500]	Loss: 1.3410	LR: 0.100000
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Training Epoch: 2 [6400/47500]	Loss: 1.4887	LR: 0.100000
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Training Epoch: 2 [8448/47500]	Loss: 1.4160	LR: 0.100000
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Training Epoch: 2 [11776/47500]	Loss: 1.4035	LR: 0.100000
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Training Epoch: 2 [12800/47500]	Loss: 1.3292	LR: 0.100000
Training Epoch: 2 [13056/47500]	Loss: 1.2020	LR: 0.100000
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Training Epoch: 2 [13824/47500]	Loss: 1.2329	LR: 0.100000
Training Epoch: 2 [14080/47500]	Loss: 1.1652	LR: 0.100000
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Training Epoch: 2 [19200/47500]	Loss: 1.2315	LR: 0.100000
Training Epoch: 2 [19456/47500]	Loss: 1.2351	LR: 0.100000
Training Epoch: 2 [19712/47500]	Loss: 1.3706	LR: 0.100000
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Training Epoch: 2 [20224/47500]	Loss: 1.0891	LR: 0.100000
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Training Epoch: 2 [20736/47500]	Loss: 1.2041	LR: 0.100000
Training Epoch: 2 [20992/47500]	Loss: 1.3088	LR: 0.100000
Training Epoch: 2 [21248/47500]	Loss: 1.2545	LR: 0.100000
Training Epoch: 2 [21504/47500]	Loss: 1.4066	LR: 0.100000
Training Epoch: 2 [21760/47500]	Loss: 1.3210	LR: 0.100000
Training Epoch: 2 [22016/47500]	Loss: 1.3011	LR: 0.100000
Training Epoch: 2 [22272/47500]	Loss: 1.2246	LR: 0.100000
Training Epoch: 2 [22528/47500]	Loss: 1.2205	LR: 0.100000
Training Epoch: 2 [22784/47500]	Loss: 1.2623	LR: 0.100000
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Training Epoch: 2 [47500/47500]	Loss: 1.0316	LR: 0.100000
Epoch 2 - Average Train Loss: 1.2323, Train Accuracy: 0.5586
Epoch 2 training time consumed: 28.65s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0047, Accuracy: 0.6010, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_15h_52m_48s/ResNet18-Cifar10-seed8-ret50-2-best.pth
Training Epoch: 3 [256/47500]	Loss: 1.1301	LR: 0.100000
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Training Epoch: 3 [47500/47500]	Loss: 0.8196	LR: 0.100000
Epoch 3 - Average Train Loss: 0.9717, Train Accuracy: 0.6558
Epoch 3 training time consumed: 29.11s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0037, Accuracy: 0.6832, Time consumed:1.00s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_15h_52m_48s/ResNet18-Cifar10-seed8-ret50-3-best.pth
Training Epoch: 4 [256/47500]	Loss: 0.7623	LR: 0.100000
Training Epoch: 4 [512/47500]	Loss: 0.8452	LR: 0.100000
Training Epoch: 4 [768/47500]	Loss: 0.8927	LR: 0.100000
Training Epoch: 4 [1024/47500]	Loss: 0.7622	LR: 0.100000
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Training Epoch: 4 [47500/47500]	Loss: 0.7854	LR: 0.100000
Epoch 4 - Average Train Loss: 0.8181, Train Accuracy: 0.7114
Epoch 4 training time consumed: 29.15s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0030, Accuracy: 0.7358, Time consumed:1.00s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_15h_52m_48s/ResNet18-Cifar10-seed8-ret50-4-best.pth
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Training Epoch: 5 [47500/47500]	Loss: 0.8924	LR: 0.100000
Epoch 5 - Average Train Loss: 0.7230, Train Accuracy: 0.7487
Epoch 5 training time consumed: 29.20s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0030, Accuracy: 0.7503, Time consumed:0.99s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_15h_52m_48s/ResNet18-Cifar10-seed8-ret50-5-best.pth
Training Epoch: 6 [256/47500]	Loss: 0.6624	LR: 0.100000
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Epoch 6 - Average Train Loss: 0.6572, Train Accuracy: 0.7715
Epoch 6 training time consumed: 29.34s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0026, Accuracy: 0.7723, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_15h_52m_48s/ResNet18-Cifar10-seed8-ret50-6-best.pth
Training Epoch: 7 [256/47500]	Loss: 0.6181	LR: 0.100000
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Training Epoch: 7 [10496/47500]	Loss: 0.6280	LR: 0.100000
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Training Epoch: 7 [11008/47500]	Loss: 0.6464	LR: 0.100000
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Training Epoch: 7 [12800/47500]	Loss: 0.6292	LR: 0.100000
Training Epoch: 7 [13056/47500]	Loss: 0.6814	LR: 0.100000
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Training Epoch: 7 [16640/47500]	Loss: 0.5131	LR: 0.100000
Training Epoch: 7 [16896/47500]	Loss: 0.5764	LR: 0.100000
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Training Epoch: 7 [17920/47500]	Loss: 0.6221	LR: 0.100000
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Training Epoch: 7 [19200/47500]	Loss: 0.6693	LR: 0.100000
Training Epoch: 7 [19456/47500]	Loss: 0.6266	LR: 0.100000
Training Epoch: 7 [19712/47500]	Loss: 0.6468	LR: 0.100000
Training Epoch: 7 [19968/47500]	Loss: 0.6960	LR: 0.100000
Training Epoch: 7 [20224/47500]	Loss: 0.6343	LR: 0.100000
Training Epoch: 7 [20480/47500]	Loss: 0.5623	LR: 0.100000
Training Epoch: 7 [20736/47500]	Loss: 0.6508	LR: 0.100000
Training Epoch: 7 [20992/47500]	Loss: 0.6054	LR: 0.100000
Training Epoch: 7 [21248/47500]	Loss: 0.7292	LR: 0.100000
Training Epoch: 7 [21504/47500]	Loss: 0.5127	LR: 0.100000
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Training Epoch: 7 [22016/47500]	Loss: 0.5843	LR: 0.100000
Training Epoch: 7 [22272/47500]	Loss: 0.6403	LR: 0.100000
Training Epoch: 7 [22528/47500]	Loss: 0.5957	LR: 0.100000
Training Epoch: 7 [22784/47500]	Loss: 0.4910	LR: 0.100000
Training Epoch: 7 [23040/47500]	Loss: 0.5437	LR: 0.100000
Training Epoch: 7 [23296/47500]	Loss: 0.7463	LR: 0.100000
Training Epoch: 7 [23552/47500]	Loss: 0.4780	LR: 0.100000
Training Epoch: 7 [23808/47500]	Loss: 0.5368	LR: 0.100000
Training Epoch: 7 [24064/47500]	Loss: 0.6479	LR: 0.100000
Training Epoch: 7 [24320/47500]	Loss: 0.5329	LR: 0.100000
Training Epoch: 7 [24576/47500]	Loss: 0.7054	LR: 0.100000
Training Epoch: 7 [24832/47500]	Loss: 0.6121	LR: 0.100000
Training Epoch: 7 [25088/47500]	Loss: 0.5864	LR: 0.100000
Training Epoch: 7 [25344/47500]	Loss: 0.5860	LR: 0.100000
Training Epoch: 7 [25600/47500]	Loss: 0.7046	LR: 0.100000
Training Epoch: 7 [25856/47500]	Loss: 0.6442	LR: 0.100000
Training Epoch: 7 [26112/47500]	Loss: 0.5434	LR: 0.100000
Training Epoch: 7 [26368/47500]	Loss: 0.5676	LR: 0.100000
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Training Epoch: 7 [26880/47500]	Loss: 0.6308	LR: 0.100000
Training Epoch: 7 [27136/47500]	Loss: 0.4827	LR: 0.100000
Training Epoch: 7 [27392/47500]	Loss: 0.6685	LR: 0.100000
Training Epoch: 7 [27648/47500]	Loss: 0.5288	LR: 0.100000
Training Epoch: 7 [27904/47500]	Loss: 0.4669	LR: 0.100000
Training Epoch: 7 [28160/47500]	Loss: 0.5316	LR: 0.100000
Training Epoch: 7 [28416/47500]	Loss: 0.5304	LR: 0.100000
Training Epoch: 7 [28672/47500]	Loss: 0.6097	LR: 0.100000
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Training Epoch: 7 [29184/47500]	Loss: 0.5602	LR: 0.100000
Training Epoch: 7 [29440/47500]	Loss: 0.6275	LR: 0.100000
Training Epoch: 7 [29696/47500]	Loss: 0.5481	LR: 0.100000
Training Epoch: 7 [29952/47500]	Loss: 0.5894	LR: 0.100000
Training Epoch: 7 [30208/47500]	Loss: 0.5804	LR: 0.100000
Training Epoch: 7 [30464/47500]	Loss: 0.5270	LR: 0.100000
Training Epoch: 7 [30720/47500]	Loss: 0.4390	LR: 0.100000
Training Epoch: 7 [30976/47500]	Loss: 0.6588	LR: 0.100000
Training Epoch: 7 [31232/47500]	Loss: 0.6770	LR: 0.100000
Training Epoch: 7 [31488/47500]	Loss: 0.5763	LR: 0.100000
Training Epoch: 7 [31744/47500]	Loss: 0.7291	LR: 0.100000
Training Epoch: 7 [32000/47500]	Loss: 0.6513	LR: 0.100000
Training Epoch: 7 [32256/47500]	Loss: 0.5805	LR: 0.100000
Training Epoch: 7 [32512/47500]	Loss: 0.6529	LR: 0.100000
Training Epoch: 7 [32768/47500]	Loss: 0.6524	LR: 0.100000
Training Epoch: 7 [33024/47500]	Loss: 0.6227	LR: 0.100000
Training Epoch: 7 [33280/47500]	Loss: 0.5362	LR: 0.100000
Training Epoch: 7 [33536/47500]	Loss: 0.6728	LR: 0.100000
Training Epoch: 7 [33792/47500]	Loss: 0.6198	LR: 0.100000
Training Epoch: 7 [34048/47500]	Loss: 0.5621	LR: 0.100000
Training Epoch: 7 [34304/47500]	Loss: 0.5782	LR: 0.100000
Training Epoch: 7 [34560/47500]	Loss: 0.6572	LR: 0.100000
Training Epoch: 7 [34816/47500]	Loss: 0.5471	LR: 0.100000
Training Epoch: 7 [35072/47500]	Loss: 0.7210	LR: 0.100000
Training Epoch: 7 [35328/47500]	Loss: 0.6380	LR: 0.100000
Training Epoch: 7 [35584/47500]	Loss: 0.6088	LR: 0.100000
Training Epoch: 7 [35840/47500]	Loss: 0.5807	LR: 0.100000
Training Epoch: 7 [36096/47500]	Loss: 0.5704	LR: 0.100000
Training Epoch: 7 [36352/47500]	Loss: 0.6284	LR: 0.100000
Training Epoch: 7 [36608/47500]	Loss: 0.6596	LR: 0.100000
Training Epoch: 7 [36864/47500]	Loss: 0.4794	LR: 0.100000
Training Epoch: 7 [37120/47500]	Loss: 0.5175	LR: 0.100000
Training Epoch: 7 [37376/47500]	Loss: 0.6501	LR: 0.100000
Training Epoch: 7 [37632/47500]	Loss: 0.5318	LR: 0.100000
Training Epoch: 7 [37888/47500]	Loss: 0.6125	LR: 0.100000
Training Epoch: 7 [38144/47500]	Loss: 0.5605	LR: 0.100000
Training Epoch: 7 [38400/47500]	Loss: 0.5942	LR: 0.100000
Training Epoch: 7 [38656/47500]	Loss: 0.6476	LR: 0.100000
Training Epoch: 7 [38912/47500]	Loss: 0.6506	LR: 0.100000
Training Epoch: 7 [39168/47500]	Loss: 0.5363	LR: 0.100000
Training Epoch: 7 [39424/47500]	Loss: 0.5154	LR: 0.100000
Training Epoch: 7 [39680/47500]	Loss: 0.5116	LR: 0.100000
Training Epoch: 7 [39936/47500]	Loss: 0.6326	LR: 0.100000
Training Epoch: 7 [40192/47500]	Loss: 0.5434	LR: 0.100000
Training Epoch: 7 [40448/47500]	Loss: 0.6272	LR: 0.100000
Training Epoch: 7 [40704/47500]	Loss: 0.5927	LR: 0.100000
Training Epoch: 7 [40960/47500]	Loss: 0.5898	LR: 0.100000
Training Epoch: 7 [41216/47500]	Loss: 0.5920	LR: 0.100000
Training Epoch: 7 [41472/47500]	Loss: 0.4991	LR: 0.100000
Training Epoch: 7 [41728/47500]	Loss: 0.6028	LR: 0.100000
Training Epoch: 7 [41984/47500]	Loss: 0.5393	LR: 0.100000
Training Epoch: 7 [42240/47500]	Loss: 0.5499	LR: 0.100000
Training Epoch: 7 [42496/47500]	Loss: 0.5566	LR: 0.100000
Training Epoch: 7 [42752/47500]	Loss: 0.5326	LR: 0.100000
Training Epoch: 7 [43008/47500]	Loss: 0.5765	LR: 0.100000
Training Epoch: 7 [43264/47500]	Loss: 0.5140	LR: 0.100000
Training Epoch: 7 [43520/47500]	Loss: 0.5781	LR: 0.100000
Training Epoch: 7 [43776/47500]	Loss: 0.5510	LR: 0.100000
Training Epoch: 7 [44032/47500]	Loss: 0.5413	LR: 0.100000
Training Epoch: 7 [44288/47500]	Loss: 0.5440	LR: 0.100000
Training Epoch: 7 [44544/47500]	Loss: 0.5017	LR: 0.100000
Training Epoch: 7 [44800/47500]	Loss: 0.5339	LR: 0.100000
Training Epoch: 7 [45056/47500]	Loss: 0.5617	LR: 0.100000
Training Epoch: 7 [45312/47500]	Loss: 0.5698	LR: 0.100000
Training Epoch: 7 [45568/47500]	Loss: 0.5693	LR: 0.100000
Training Epoch: 7 [45824/47500]	Loss: 0.6669	LR: 0.100000
Training Epoch: 7 [46080/47500]	Loss: 0.5620	LR: 0.100000
Training Epoch: 7 [46336/47500]	Loss: 0.5745	LR: 0.100000
Training Epoch: 7 [46592/47500]	Loss: 0.5081	LR: 0.100000
Training Epoch: 7 [46848/47500]	Loss: 0.5656	LR: 0.100000
Training Epoch: 7 [47104/47500]	Loss: 0.6136	LR: 0.100000
Training Epoch: 7 [47360/47500]	Loss: 0.5299	LR: 0.100000
Training Epoch: 7 [47500/47500]	Loss: 0.4812	LR: 0.100000
Epoch 7 - Average Train Loss: 0.5991, Train Accuracy: 0.7917
Epoch 7 training time consumed: 29.11s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0032, Accuracy: 0.7400, Time consumed:1.07s
Training Epoch: 8 [256/47500]	Loss: 0.4847	LR: 0.020000
Training Epoch: 8 [512/47500]	Loss: 0.5846	LR: 0.020000
Training Epoch: 8 [768/47500]	Loss: 0.7266	LR: 0.020000
Training Epoch: 8 [1024/47500]	Loss: 0.5529	LR: 0.020000
Training Epoch: 8 [1280/47500]	Loss: 0.3947	LR: 0.020000
Training Epoch: 8 [1536/47500]	Loss: 0.5405	LR: 0.020000
Training Epoch: 8 [1792/47500]	Loss: 0.5929	LR: 0.020000
Training Epoch: 8 [2048/47500]	Loss: 0.4832	LR: 0.020000
Training Epoch: 8 [2304/47500]	Loss: 0.5484	LR: 0.020000
Training Epoch: 8 [2560/47500]	Loss: 0.4615	LR: 0.020000
Training Epoch: 8 [2816/47500]	Loss: 0.5463	LR: 0.020000
Training Epoch: 8 [3072/47500]	Loss: 0.4986	LR: 0.020000
Training Epoch: 8 [3328/47500]	Loss: 0.5317	LR: 0.020000
Training Epoch: 8 [3584/47500]	Loss: 0.6106	LR: 0.020000
Training Epoch: 8 [3840/47500]	Loss: 0.4973	LR: 0.020000
Training Epoch: 8 [4096/47500]	Loss: 0.5622	LR: 0.020000
Training Epoch: 8 [4352/47500]	Loss: 0.3507	LR: 0.020000
Training Epoch: 8 [4608/47500]	Loss: 0.4383	LR: 0.020000
Training Epoch: 8 [4864/47500]	Loss: 0.4881	LR: 0.020000
Training Epoch: 8 [5120/47500]	Loss: 0.4995	LR: 0.020000
Training Epoch: 8 [5376/47500]	Loss: 0.4042	LR: 0.020000
Training Epoch: 8 [5632/47500]	Loss: 0.5305	LR: 0.020000
Training Epoch: 8 [5888/47500]	Loss: 0.5452	LR: 0.020000
Training Epoch: 8 [6144/47500]	Loss: 0.4345	LR: 0.020000
Training Epoch: 8 [6400/47500]	Loss: 0.4681	LR: 0.020000
Training Epoch: 8 [6656/47500]	Loss: 0.4768	LR: 0.020000
Training Epoch: 8 [6912/47500]	Loss: 0.4996	LR: 0.020000
Training Epoch: 8 [7168/47500]	Loss: 0.4188	LR: 0.020000
Training Epoch: 8 [7424/47500]	Loss: 0.5957	LR: 0.020000
Training Epoch: 8 [7680/47500]	Loss: 0.4376	LR: 0.020000
Training Epoch: 8 [7936/47500]	Loss: 0.4029	LR: 0.020000
Training Epoch: 8 [8192/47500]	Loss: 0.4528	LR: 0.020000
Training Epoch: 8 [8448/47500]	Loss: 0.4413	LR: 0.020000
Training Epoch: 8 [8704/47500]	Loss: 0.4454	LR: 0.020000
Training Epoch: 8 [8960/47500]	Loss: 0.4833	LR: 0.020000
Training Epoch: 8 [9216/47500]	Loss: 0.4839	LR: 0.020000
Training Epoch: 8 [9472/47500]	Loss: 0.4521	LR: 0.020000
Training Epoch: 8 [9728/47500]	Loss: 0.4214	LR: 0.020000
Training Epoch: 8 [9984/47500]	Loss: 0.5320	LR: 0.020000
Training Epoch: 8 [10240/47500]	Loss: 0.4497	LR: 0.020000
Training Epoch: 8 [10496/47500]	Loss: 0.5441	LR: 0.020000
Training Epoch: 8 [10752/47500]	Loss: 0.3970	LR: 0.020000
Training Epoch: 8 [11008/47500]	Loss: 0.4888	LR: 0.020000
Training Epoch: 8 [11264/47500]	Loss: 0.5554	LR: 0.020000
Training Epoch: 8 [11520/47500]	Loss: 0.4527	LR: 0.020000
Training Epoch: 8 [11776/47500]	Loss: 0.5418	LR: 0.020000
Training Epoch: 8 [12032/47500]	Loss: 0.3969	LR: 0.020000
Training Epoch: 8 [12288/47500]	Loss: 0.4510	LR: 0.020000
Training Epoch: 8 [12544/47500]	Loss: 0.4384	LR: 0.020000
Training Epoch: 8 [12800/47500]	Loss: 0.5149	LR: 0.020000
Training Epoch: 8 [13056/47500]	Loss: 0.4130	LR: 0.020000
Training Epoch: 8 [13312/47500]	Loss: 0.5089	LR: 0.020000
Training Epoch: 8 [13568/47500]	Loss: 0.3606	LR: 0.020000
Training Epoch: 8 [13824/47500]	Loss: 0.4300	LR: 0.020000
Training Epoch: 8 [14080/47500]	Loss: 0.4298	LR: 0.020000
Training Epoch: 8 [14336/47500]	Loss: 0.3968	LR: 0.020000
Training Epoch: 8 [14592/47500]	Loss: 0.3620	LR: 0.020000
Training Epoch: 8 [14848/47500]	Loss: 0.4505	LR: 0.020000
Training Epoch: 8 [15104/47500]	Loss: 0.3579	LR: 0.020000
Training Epoch: 8 [15360/47500]	Loss: 0.3928	LR: 0.020000
Training Epoch: 8 [15616/47500]	Loss: 0.4085	LR: 0.020000
Training Epoch: 8 [15872/47500]	Loss: 0.5440	LR: 0.020000
Training Epoch: 8 [16128/47500]	Loss: 0.4600	LR: 0.020000
Training Epoch: 8 [16384/47500]	Loss: 0.4865	LR: 0.020000
Training Epoch: 8 [16640/47500]	Loss: 0.4358	LR: 0.020000
Training Epoch: 8 [16896/47500]	Loss: 0.3864	LR: 0.020000
Training Epoch: 8 [17152/47500]	Loss: 0.4537	LR: 0.020000
Training Epoch: 8 [17408/47500]	Loss: 0.4926	LR: 0.020000
Training Epoch: 8 [17664/47500]	Loss: 0.3959	LR: 0.020000
Training Epoch: 8 [17920/47500]	Loss: 0.3741	LR: 0.020000
Training Epoch: 8 [18176/47500]	Loss: 0.4329	LR: 0.020000
Training Epoch: 8 [18432/47500]	Loss: 0.3776	LR: 0.020000
Training Epoch: 8 [18688/47500]	Loss: 0.4808	LR: 0.020000
Training Epoch: 8 [18944/47500]	Loss: 0.4681	LR: 0.020000
Training Epoch: 8 [19200/47500]	Loss: 0.4160	LR: 0.020000
Training Epoch: 8 [19456/47500]	Loss: 0.4890	LR: 0.020000
Training Epoch: 8 [19712/47500]	Loss: 0.4127	LR: 0.020000
Training Epoch: 8 [19968/47500]	Loss: 0.4581	LR: 0.020000
Training Epoch: 8 [20224/47500]	Loss: 0.4203	LR: 0.020000
Training Epoch: 8 [20480/47500]	Loss: 0.5077	LR: 0.020000
Training Epoch: 8 [20736/47500]	Loss: 0.4736	LR: 0.020000
Training Epoch: 8 [20992/47500]	Loss: 0.4428	LR: 0.020000
Training Epoch: 8 [21248/47500]	Loss: 0.4686	LR: 0.020000
Training Epoch: 8 [21504/47500]	Loss: 0.3694	LR: 0.020000
Training Epoch: 8 [21760/47500]	Loss: 0.4154	LR: 0.020000
Training Epoch: 8 [22016/47500]	Loss: 0.4348	LR: 0.020000
Training Epoch: 8 [22272/47500]	Loss: 0.4499	LR: 0.020000
Training Epoch: 8 [22528/47500]	Loss: 0.3779	LR: 0.020000
Training Epoch: 8 [22784/47500]	Loss: 0.4327	LR: 0.020000
Training Epoch: 8 [23040/47500]	Loss: 0.3996	LR: 0.020000
Training Epoch: 8 [23296/47500]	Loss: 0.4397	LR: 0.020000
Training Epoch: 8 [23552/47500]	Loss: 0.3426	LR: 0.020000
Training Epoch: 8 [23808/47500]	Loss: 0.4415	LR: 0.020000
Training Epoch: 8 [24064/47500]	Loss: 0.4904	LR: 0.020000
Training Epoch: 8 [24320/47500]	Loss: 0.4527	LR: 0.020000
Training Epoch: 8 [24576/47500]	Loss: 0.4883	LR: 0.020000
Training Epoch: 8 [24832/47500]	Loss: 0.5045	LR: 0.020000
Training Epoch: 8 [25088/47500]	Loss: 0.4538	LR: 0.020000
Training Epoch: 8 [25344/47500]	Loss: 0.4233	LR: 0.020000
Training Epoch: 8 [25600/47500]	Loss: 0.4476	LR: 0.020000
Training Epoch: 8 [25856/47500]	Loss: 0.5133	LR: 0.020000
Training Epoch: 8 [26112/47500]	Loss: 0.4447	LR: 0.020000
Training Epoch: 8 [26368/47500]	Loss: 0.3702	LR: 0.020000
Training Epoch: 8 [26624/47500]	Loss: 0.4965	LR: 0.020000
Training Epoch: 8 [26880/47500]	Loss: 0.5099	LR: 0.020000
Training Epoch: 8 [27136/47500]	Loss: 0.4776	LR: 0.020000
Training Epoch: 8 [27392/47500]	Loss: 0.5180	LR: 0.020000
Training Epoch: 8 [27648/47500]	Loss: 0.4862	LR: 0.020000
Training Epoch: 8 [27904/47500]	Loss: 0.3601	LR: 0.020000
Training Epoch: 8 [28160/47500]	Loss: 0.3986	LR: 0.020000
Training Epoch: 8 [28416/47500]	Loss: 0.4440	LR: 0.020000
Training Epoch: 8 [28672/47500]	Loss: 0.4174	LR: 0.020000
Training Epoch: 8 [28928/47500]	Loss: 0.4495	LR: 0.020000
Training Epoch: 8 [29184/47500]	Loss: 0.3697	LR: 0.020000
Training Epoch: 8 [29440/47500]	Loss: 0.3404	LR: 0.020000
Training Epoch: 8 [29696/47500]	Loss: 0.4642	LR: 0.020000
Training Epoch: 8 [29952/47500]	Loss: 0.4220	LR: 0.020000
Training Epoch: 8 [30208/47500]	Loss: 0.4126	LR: 0.020000
Training Epoch: 8 [30464/47500]	Loss: 0.3382	LR: 0.020000
Training Epoch: 8 [30720/47500]	Loss: 0.4430	LR: 0.020000
Training Epoch: 8 [30976/47500]	Loss: 0.3918	LR: 0.020000
Training Epoch: 8 [31232/47500]	Loss: 0.4600	LR: 0.020000
Training Epoch: 8 [31488/47500]	Loss: 0.4412	LR: 0.020000
Training Epoch: 8 [31744/47500]	Loss: 0.4381	LR: 0.020000
Training Epoch: 8 [32000/47500]	Loss: 0.4115	LR: 0.020000
Training Epoch: 8 [32256/47500]	Loss: 0.3383	LR: 0.020000
Training Epoch: 8 [32512/47500]	Loss: 0.4153	LR: 0.020000
Training Epoch: 8 [32768/47500]	Loss: 0.4388	LR: 0.020000
Training Epoch: 8 [33024/47500]	Loss: 0.4337	LR: 0.020000
Training Epoch: 8 [33280/47500]	Loss: 0.4184	LR: 0.020000
Training Epoch: 8 [33536/47500]	Loss: 0.4418	LR: 0.020000
Training Epoch: 8 [33792/47500]	Loss: 0.4257	LR: 0.020000
Training Epoch: 8 [34048/47500]	Loss: 0.4270	LR: 0.020000
Training Epoch: 8 [34304/47500]	Loss: 0.4215	LR: 0.020000
Training Epoch: 8 [34560/47500]	Loss: 0.5399	LR: 0.020000
Training Epoch: 8 [34816/47500]	Loss: 0.3906	LR: 0.020000
Training Epoch: 8 [35072/47500]	Loss: 0.4279	LR: 0.020000
Training Epoch: 8 [35328/47500]	Loss: 0.3677	LR: 0.020000
Training Epoch: 8 [35584/47500]	Loss: 0.4894	LR: 0.020000
Training Epoch: 8 [35840/47500]	Loss: 0.3976	LR: 0.020000
Training Epoch: 8 [36096/47500]	Loss: 0.5044	LR: 0.020000
Training Epoch: 8 [36352/47500]	Loss: 0.4929	LR: 0.020000
Training Epoch: 8 [36608/47500]	Loss: 0.4960	LR: 0.020000
Training Epoch: 8 [36864/47500]	Loss: 0.4381	LR: 0.020000
Training Epoch: 8 [37120/47500]	Loss: 0.4957	LR: 0.020000
Training Epoch: 8 [37376/47500]	Loss: 0.4613	LR: 0.020000
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Training Epoch: 8 [47500/47500]	Loss: 0.4714	LR: 0.020000
Epoch 8 - Average Train Loss: 0.4465, Train Accuracy: 0.8436
Epoch 8 training time consumed: 29.05s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0017, Accuracy: 0.8596, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_15h_52m_48s/ResNet18-Cifar10-seed8-ret50-8-best.pth
Training Epoch: 9 [256/47500]	Loss: 0.3669	LR: 0.020000
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Training Epoch: 9 [47500/47500]	Loss: 0.2734	LR: 0.020000
Epoch 9 - Average Train Loss: 0.4026, Train Accuracy: 0.8578
Epoch 9 training time consumed: 29.15s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0017, Accuracy: 0.8540, Time consumed:1.03s
Training Epoch: 10 [256/47500]	Loss: 0.3805	LR: 0.020000
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Training Epoch: 10 [47500/47500]	Loss: 0.3492	LR: 0.020000
Epoch 10 - Average Train Loss: 0.3793, Train Accuracy: 0.8675
Epoch 10 training time consumed: 28.91s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0015, Accuracy: 0.8655, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_15h_52m_48s/ResNet18-Cifar10-seed8-ret50-10-best.pth
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Training Epoch: 11 [40192/47500]	Loss: 0.3335	LR: 0.020000
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Training Epoch: 11 [47360/47500]	Loss: 0.3474	LR: 0.020000
Training Epoch: 11 [47500/47500]	Loss: 0.4640	LR: 0.020000
Epoch 11 - Average Train Loss: 0.3684, Train Accuracy: 0.8698
Epoch 11 training time consumed: 29.05s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0015, Accuracy: 0.8706, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_15h_52m_48s/ResNet18-Cifar10-seed8-ret50-11-best.pth
Training Epoch: 12 [256/47500]	Loss: 0.3515	LR: 0.004000
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Training Epoch: 12 [47360/47500]	Loss: 0.3976	LR: 0.004000
Training Epoch: 12 [47500/47500]	Loss: 0.2947	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3186, Train Accuracy: 0.8896
Epoch 12 training time consumed: 29.23s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0013, Accuracy: 0.8861, Time consumed:0.98s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_15h_52m_48s/ResNet18-Cifar10-seed8-ret50-12-best.pth
Training Epoch: 13 [256/47500]	Loss: 0.2071	LR: 0.004000
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Training Epoch: 13 [47500/47500]	Loss: 0.3992	LR: 0.004000
Epoch 13 - Average Train Loss: 0.3027, Train Accuracy: 0.8948
Epoch 13 training time consumed: 29.22s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0013, Accuracy: 0.8866, Time consumed:1.05s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_15h_52m_48s/ResNet18-Cifar10-seed8-ret50-13-best.pth
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Training Epoch: 14 [47360/47500]	Loss: 0.2341	LR: 0.004000
Training Epoch: 14 [47500/47500]	Loss: 0.4639	LR: 0.004000
Epoch 14 - Average Train Loss: 0.2941, Train Accuracy: 0.8978
Epoch 14 training time consumed: 29.18s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0013, Accuracy: 0.8863, Time consumed:0.99s
Training Epoch: 15 [256/47500]	Loss: 0.1737	LR: 0.004000
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Training Epoch: 15 [47360/47500]	Loss: 0.2883	LR: 0.004000
Training Epoch: 15 [47500/47500]	Loss: 0.2351	LR: 0.004000
Epoch 15 - Average Train Loss: 0.2885, Train Accuracy: 0.8999
Epoch 15 training time consumed: 29.11s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0013, Accuracy: 0.8891, Time consumed:0.98s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_15h_52m_48s/ResNet18-Cifar10-seed8-ret50-15-best.pth
Training Epoch: 16 [256/47500]	Loss: 0.2849	LR: 0.000800
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Training Epoch: 16 [47500/47500]	Loss: 0.3320	LR: 0.000800
Epoch 16 - Average Train Loss: 0.2797, Train Accuracy: 0.9023
Epoch 16 training time consumed: 29.33s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0013, Accuracy: 0.8904, Time consumed:0.98s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_15h_52m_48s/ResNet18-Cifar10-seed8-ret50-16-best.pth
Training Epoch: 17 [256/47500]	Loss: 0.2691	LR: 0.000800
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Training Epoch: 17 [45312/47500]	Loss: 0.2169	LR: 0.000800
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Training Epoch: 17 [45824/47500]	Loss: 0.2504	LR: 0.000800
Training Epoch: 17 [46080/47500]	Loss: 0.3798	LR: 0.000800
Training Epoch: 17 [46336/47500]	Loss: 0.3070	LR: 0.000800
Training Epoch: 17 [46592/47500]	Loss: 0.2843	LR: 0.000800
Training Epoch: 17 [46848/47500]	Loss: 0.2399	LR: 0.000800
Training Epoch: 17 [47104/47500]	Loss: 0.2856	LR: 0.000800
Training Epoch: 17 [47360/47500]	Loss: 0.3141	LR: 0.000800
Training Epoch: 17 [47500/47500]	Loss: 0.3100	LR: 0.000800
Epoch 17 - Average Train Loss: 0.2718, Train Accuracy: 0.9069
Epoch 17 training time consumed: 29.35s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0013, Accuracy: 0.8899, Time consumed:0.97s
Training Epoch: 18 [256/47500]	Loss: 0.4101	LR: 0.000800
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Training Epoch: 18 [45824/47500]	Loss: 0.2681	LR: 0.000800
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Training Epoch: 18 [46336/47500]	Loss: 0.3107	LR: 0.000800
Training Epoch: 18 [46592/47500]	Loss: 0.3193	LR: 0.000800
Training Epoch: 18 [46848/47500]	Loss: 0.2953	LR: 0.000800
Training Epoch: 18 [47104/47500]	Loss: 0.3637	LR: 0.000800
Training Epoch: 18 [47360/47500]	Loss: 0.2932	LR: 0.000800
Training Epoch: 18 [47500/47500]	Loss: 0.2414	LR: 0.000800
Epoch 18 - Average Train Loss: 0.2702, Train Accuracy: 0.9055
Epoch 18 training time consumed: 28.97s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0013, Accuracy: 0.8908, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_15h_52m_48s/ResNet18-Cifar10-seed8-ret50-18-best.pth
Training Epoch: 19 [256/47500]	Loss: 0.2109	LR: 0.000800
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Training Epoch: 19 [768/47500]	Loss: 0.2570	LR: 0.000800
Training Epoch: 19 [1024/47500]	Loss: 0.3065	LR: 0.000800
Training Epoch: 19 [1280/47500]	Loss: 0.1751	LR: 0.000800
Training Epoch: 19 [1536/47500]	Loss: 0.2803	LR: 0.000800
Training Epoch: 19 [1792/47500]	Loss: 0.3143	LR: 0.000800
Training Epoch: 19 [2048/47500]	Loss: 0.3024	LR: 0.000800
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Training Epoch: 19 [22528/47500]	Loss: 0.2545	LR: 0.000800
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Training Epoch: 19 [47360/47500]	Loss: 0.2455	LR: 0.000800
Training Epoch: 19 [47500/47500]	Loss: 0.2537	LR: 0.000800
Epoch 19 - Average Train Loss: 0.2700, Train Accuracy: 0.9050
Epoch 19 training time consumed: 29.32s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0013, Accuracy: 0.8919, Time consumed:1.00s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_15h_52m_48s/ResNet18-Cifar10-seed8-ret50-19-best.pth
Training Epoch: 20 [256/47500]	Loss: 0.2730	LR: 0.000800
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Training Epoch: 20 [46592/47500]	Loss: 0.2480	LR: 0.000800
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Training Epoch: 20 [47500/47500]	Loss: 0.1731	LR: 0.000800
Epoch 20 - Average Train Loss: 0.2674, Train Accuracy: 0.9070
Epoch 20 training time consumed: 29.31s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0013, Accuracy: 0.8914, Time consumed:0.97s
Valid (Test) Dl:  10000
Train Dl:  50000
Retain Train Dl:  47500
Forget Train Dl:  2500
Retain Valid Dl:  47500
Forget Valid Dl:  2500
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 2500 samples
Set1 Distribution: 2500 samples
Set2 Distribution: 2500 samples
MIA Attack Accuracy with XGBoost: 0.7280
Set1 Distribution: 2500 samples
Set2 Distribution: 2500 samples
MIA Attack Accuracy with XGBoost: 0.4860
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
MIA Attack Accuracy with XGBoost: 0.6542
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
MIA Attack Accuracy with XGBoost: 0.5122
Test Accuracy: 91.552734375
Retain Accuracy: 93.9156723022461
Zero-Retain Forget (ZRF): 0.8268455862998962
Membership Inference Attack (MIA): 0.7036
Forget vs Retain Membership Inference Attack (MIA): 0.728
Forget vs Test Membership Inference Attack (MIA): 0.486
Test vs Retain Membership Inference Attack (MIA): 0.65425
Train vs Test Membership Inference Attack (MIA): 0.51225
Forget Set Accuracy (Df): 94.02981567382812
Method Execution Time: 2514.51 seconds
