
Retain class distribution for seed 9:
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 9:
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: 2.5469	LR: 0.000000
Training Epoch: 1 [512/47500]	Loss: 2.4756	LR: 0.000538
Training Epoch: 1 [768/47500]	Loss: 2.5103	LR: 0.001075
Training Epoch: 1 [1024/47500]	Loss: 2.4277	LR: 0.001613
Training Epoch: 1 [1280/47500]	Loss: 2.3453	LR: 0.002151
Training Epoch: 1 [1536/47500]	Loss: 2.3353	LR: 0.002688
Training Epoch: 1 [1792/47500]	Loss: 2.2733	LR: 0.003226
Training Epoch: 1 [2048/47500]	Loss: 2.2732	LR: 0.003763
Training Epoch: 1 [2304/47500]	Loss: 2.2877	LR: 0.004301
Training Epoch: 1 [2560/47500]	Loss: 2.3009	LR: 0.004839
Training Epoch: 1 [2816/47500]	Loss: 2.3313	LR: 0.005376
Training Epoch: 1 [3072/47500]	Loss: 2.3509	LR: 0.005914
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Training Epoch: 1 [3584/47500]	Loss: 2.1446	LR: 0.006989
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Training Epoch: 1 [8192/47500]	Loss: 1.8320	LR: 0.016667
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Training Epoch: 1 [8704/47500]	Loss: 1.8230	LR: 0.017742
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Training Epoch: 1 [9216/47500]	Loss: 1.8425	LR: 0.018817
Training Epoch: 1 [9472/47500]	Loss: 1.7540	LR: 0.019355
Training Epoch: 1 [9728/47500]	Loss: 1.7088	LR: 0.019892
Training Epoch: 1 [9984/47500]	Loss: 1.8343	LR: 0.020430
Training Epoch: 1 [10240/47500]	Loss: 1.8964	LR: 0.020968
Training Epoch: 1 [10496/47500]	Loss: 1.6213	LR: 0.021505
Training Epoch: 1 [10752/47500]	Loss: 1.7912	LR: 0.022043
Training Epoch: 1 [11008/47500]	Loss: 1.8423	LR: 0.022581
Training Epoch: 1 [11264/47500]	Loss: 1.9375	LR: 0.023118
Training Epoch: 1 [11520/47500]	Loss: 1.8635	LR: 0.023656
Training Epoch: 1 [11776/47500]	Loss: 2.0116	LR: 0.024194
Training Epoch: 1 [12032/47500]	Loss: 1.7838	LR: 0.024731
Training Epoch: 1 [12288/47500]	Loss: 1.8126	LR: 0.025269
Training Epoch: 1 [12544/47500]	Loss: 1.7930	LR: 0.025806
Training Epoch: 1 [12800/47500]	Loss: 1.7387	LR: 0.026344
Training Epoch: 1 [13056/47500]	Loss: 1.7294	LR: 0.026882
Training Epoch: 1 [13312/47500]	Loss: 1.6112	LR: 0.027419
Training Epoch: 1 [13568/47500]	Loss: 1.8316	LR: 0.027957
Training Epoch: 1 [13824/47500]	Loss: 1.7277	LR: 0.028495
Training Epoch: 1 [14080/47500]	Loss: 1.7443	LR: 0.029032
Training Epoch: 1 [14336/47500]	Loss: 1.6331	LR: 0.029570
Training Epoch: 1 [14592/47500]	Loss: 1.7046	LR: 0.030108
Training Epoch: 1 [14848/47500]	Loss: 1.5742	LR: 0.030645
Training Epoch: 1 [15104/47500]	Loss: 1.7200	LR: 0.031183
Training Epoch: 1 [15360/47500]	Loss: 1.7195	LR: 0.031720
Training Epoch: 1 [15616/47500]	Loss: 1.7235	LR: 0.032258
Training Epoch: 1 [15872/47500]	Loss: 1.7651	LR: 0.032796
Training Epoch: 1 [16128/47500]	Loss: 1.7170	LR: 0.033333
Training Epoch: 1 [16384/47500]	Loss: 1.7321	LR: 0.033871
Training Epoch: 1 [16640/47500]	Loss: 1.6400	LR: 0.034409
Training Epoch: 1 [16896/47500]	Loss: 1.6735	LR: 0.034946
Training Epoch: 1 [17152/47500]	Loss: 1.8239	LR: 0.035484
Training Epoch: 1 [17408/47500]	Loss: 1.7832	LR: 0.036022
Training Epoch: 1 [17664/47500]	Loss: 1.7447	LR: 0.036559
Training Epoch: 1 [17920/47500]	Loss: 1.7653	LR: 0.037097
Training Epoch: 1 [18176/47500]	Loss: 1.6579	LR: 0.037634
Training Epoch: 1 [18432/47500]	Loss: 1.7080	LR: 0.038172
Training Epoch: 1 [18688/47500]	Loss: 1.6534	LR: 0.038710
Training Epoch: 1 [18944/47500]	Loss: 1.6245	LR: 0.039247
Training Epoch: 1 [19200/47500]	Loss: 1.7354	LR: 0.039785
Training Epoch: 1 [19456/47500]	Loss: 1.7669	LR: 0.040323
Training Epoch: 1 [19712/47500]	Loss: 1.6131	LR: 0.040860
Training Epoch: 1 [19968/47500]	Loss: 1.7441	LR: 0.041398
Training Epoch: 1 [20224/47500]	Loss: 1.5927	LR: 0.041935
Training Epoch: 1 [20480/47500]	Loss: 1.6334	LR: 0.042473
Training Epoch: 1 [20736/47500]	Loss: 1.5960	LR: 0.043011
Training Epoch: 1 [20992/47500]	Loss: 1.6782	LR: 0.043548
Training Epoch: 1 [21248/47500]	Loss: 1.5767	LR: 0.044086
Training Epoch: 1 [21504/47500]	Loss: 1.6493	LR: 0.044624
Training Epoch: 1 [21760/47500]	Loss: 1.7395	LR: 0.045161
Training Epoch: 1 [22016/47500]	Loss: 1.8523	LR: 0.045699
Training Epoch: 1 [22272/47500]	Loss: 1.7816	LR: 0.046237
Training Epoch: 1 [22528/47500]	Loss: 1.7732	LR: 0.046774
Training Epoch: 1 [22784/47500]	Loss: 1.9021	LR: 0.047312
Training Epoch: 1 [23040/47500]	Loss: 1.6889	LR: 0.047849
Training Epoch: 1 [23296/47500]	Loss: 1.8005	LR: 0.048387
Training Epoch: 1 [23552/47500]	Loss: 1.7635	LR: 0.048925
Training Epoch: 1 [23808/47500]	Loss: 1.8017	LR: 0.049462
Training Epoch: 1 [24064/47500]	Loss: 1.7335	LR: 0.050000
Training Epoch: 1 [24320/47500]	Loss: 2.0321	LR: 0.050538
Training Epoch: 1 [24576/47500]	Loss: 1.5657	LR: 0.051075
Training Epoch: 1 [24832/47500]	Loss: 1.7668	LR: 0.051613
Training Epoch: 1 [25088/47500]	Loss: 1.9325	LR: 0.052151
Training Epoch: 1 [25344/47500]	Loss: 1.7750	LR: 0.052688
Training Epoch: 1 [25600/47500]	Loss: 1.8371	LR: 0.053226
Training Epoch: 1 [25856/47500]	Loss: 1.6317	LR: 0.053763
Training Epoch: 1 [26112/47500]	Loss: 1.6632	LR: 0.054301
Training Epoch: 1 [26368/47500]	Loss: 1.6416	LR: 0.054839
Training Epoch: 1 [26624/47500]	Loss: 1.4144	LR: 0.055376
Training Epoch: 1 [26880/47500]	Loss: 1.7003	LR: 0.055914
Training Epoch: 1 [27136/47500]	Loss: 1.5656	LR: 0.056452
Training Epoch: 1 [27392/47500]	Loss: 1.6627	LR: 0.056989
Training Epoch: 1 [27648/47500]	Loss: 1.4499	LR: 0.057527
Training Epoch: 1 [27904/47500]	Loss: 1.6851	LR: 0.058065
Training Epoch: 1 [28160/47500]	Loss: 1.4386	LR: 0.058602
Training Epoch: 1 [28416/47500]	Loss: 1.6684	LR: 0.059140
Training Epoch: 1 [28672/47500]	Loss: 1.4586	LR: 0.059677
Training Epoch: 1 [28928/47500]	Loss: 1.5366	LR: 0.060215
Training Epoch: 1 [29184/47500]	Loss: 1.7338	LR: 0.060753
Training Epoch: 1 [29440/47500]	Loss: 1.4592	LR: 0.061290
Training Epoch: 1 [29696/47500]	Loss: 1.6413	LR: 0.061828
Training Epoch: 1 [29952/47500]	Loss: 1.5886	LR: 0.062366
Training Epoch: 1 [30208/47500]	Loss: 1.5391	LR: 0.062903
Training Epoch: 1 [30464/47500]	Loss: 1.5907	LR: 0.063441
Training Epoch: 1 [30720/47500]	Loss: 1.4799	LR: 0.063978
Training Epoch: 1 [30976/47500]	Loss: 1.5626	LR: 0.064516
Training Epoch: 1 [31232/47500]	Loss: 1.4914	LR: 0.065054
Training Epoch: 1 [31488/47500]	Loss: 1.5382	LR: 0.065591
Training Epoch: 1 [31744/47500]	Loss: 1.5975	LR: 0.066129
Training Epoch: 1 [32000/47500]	Loss: 1.4733	LR: 0.066667
Training Epoch: 1 [32256/47500]	Loss: 1.5335	LR: 0.067204
Training Epoch: 1 [32512/47500]	Loss: 1.5091	LR: 0.067742
Training Epoch: 1 [32768/47500]	Loss: 1.4972	LR: 0.068280
Training Epoch: 1 [33024/47500]	Loss: 1.5856	LR: 0.068817
Training Epoch: 1 [33280/47500]	Loss: 1.5823	LR: 0.069355
Training Epoch: 1 [33536/47500]	Loss: 1.7439	LR: 0.069892
Training Epoch: 1 [33792/47500]	Loss: 1.4149	LR: 0.070430
Training Epoch: 1 [34048/47500]	Loss: 1.6377	LR: 0.070968
Training Epoch: 1 [34304/47500]	Loss: 1.4663	LR: 0.071505
Training Epoch: 1 [34560/47500]	Loss: 1.5190	LR: 0.072043
Training Epoch: 1 [34816/47500]	Loss: 1.4400	LR: 0.072581
Training Epoch: 1 [35072/47500]	Loss: 1.6742	LR: 0.073118
Training Epoch: 1 [35328/47500]	Loss: 1.4510	LR: 0.073656
Training Epoch: 1 [35584/47500]	Loss: 1.5989	LR: 0.074194
Training Epoch: 1 [35840/47500]	Loss: 1.4726	LR: 0.074731
Training Epoch: 1 [36096/47500]	Loss: 1.5572	LR: 0.075269
Training Epoch: 1 [36352/47500]	Loss: 1.5394	LR: 0.075806
Training Epoch: 1 [36608/47500]	Loss: 1.4544	LR: 0.076344
Training Epoch: 1 [36864/47500]	Loss: 1.3802	LR: 0.076882
Training Epoch: 1 [37120/47500]	Loss: 1.5183	LR: 0.077419
Training Epoch: 1 [37376/47500]	Loss: 1.5931	LR: 0.077957
Training Epoch: 1 [37632/47500]	Loss: 1.5357	LR: 0.078495
Training Epoch: 1 [37888/47500]	Loss: 1.5048	LR: 0.079032
Training Epoch: 1 [38144/47500]	Loss: 1.4607	LR: 0.079570
Training Epoch: 1 [38400/47500]	Loss: 1.5520	LR: 0.080108
Training Epoch: 1 [38656/47500]	Loss: 1.5732	LR: 0.080645
Training Epoch: 1 [38912/47500]	Loss: 1.4861	LR: 0.081183
Training Epoch: 1 [39168/47500]	Loss: 1.6395	LR: 0.081720
Training Epoch: 1 [39424/47500]	Loss: 1.7009	LR: 0.082258
Training Epoch: 1 [39680/47500]	Loss: 1.3873	LR: 0.082796
Training Epoch: 1 [39936/47500]	Loss: 1.6606	LR: 0.083333
Training Epoch: 1 [40192/47500]	Loss: 1.6306	LR: 0.083871
Training Epoch: 1 [40448/47500]	Loss: 1.5962	LR: 0.084409
Training Epoch: 1 [40704/47500]	Loss: 1.4595	LR: 0.084946
Training Epoch: 1 [40960/47500]	Loss: 1.6685	LR: 0.085484
Training Epoch: 1 [41216/47500]	Loss: 1.5946	LR: 0.086022
Training Epoch: 1 [41472/47500]	Loss: 1.4433	LR: 0.086559
Training Epoch: 1 [41728/47500]	Loss: 1.5542	LR: 0.087097
Training Epoch: 1 [41984/47500]	Loss: 1.4178	LR: 0.087634
Training Epoch: 1 [42240/47500]	Loss: 1.4437	LR: 0.088172
Training Epoch: 1 [42496/47500]	Loss: 1.4475	LR: 0.088710
Training Epoch: 1 [42752/47500]	Loss: 1.4177	LR: 0.089247
Training Epoch: 1 [43008/47500]	Loss: 1.3815	LR: 0.089785
Training Epoch: 1 [43264/47500]	Loss: 1.4861	LR: 0.090323
Training Epoch: 1 [43520/47500]	Loss: 1.4935	LR: 0.090860
Training Epoch: 1 [43776/47500]	Loss: 1.4739	LR: 0.091398
Training Epoch: 1 [44032/47500]	Loss: 1.4503	LR: 0.091935
Training Epoch: 1 [44288/47500]	Loss: 1.4014	LR: 0.092473
Training Epoch: 1 [44544/47500]	Loss: 1.3652	LR: 0.093011
Training Epoch: 1 [44800/47500]	Loss: 1.6128	LR: 0.093548
Training Epoch: 1 [45056/47500]	Loss: 1.6195	LR: 0.094086
Training Epoch: 1 [45312/47500]	Loss: 1.5167	LR: 0.094624
Training Epoch: 1 [45568/47500]	Loss: 1.4007	LR: 0.095161
Training Epoch: 1 [45824/47500]	Loss: 1.4194	LR: 0.095699
Training Epoch: 1 [46080/47500]	Loss: 1.4369	LR: 0.096237
Training Epoch: 1 [46336/47500]	Loss: 1.3289	LR: 0.096774
Training Epoch: 1 [46592/47500]	Loss: 1.4950	LR: 0.097312
Training Epoch: 1 [46848/47500]	Loss: 1.3868	LR: 0.097849
Training Epoch: 1 [47104/47500]	Loss: 1.4270	LR: 0.098387
Training Epoch: 1 [47360/47500]	Loss: 1.3949	LR: 0.098925
Training Epoch: 1 [47500/47500]	Loss: 1.3799	LR: 0.099462
Epoch 1 - Average Train Loss: 1.7173, Train Accuracy: 0.3715
Epoch 1 training time consumed: 29.55s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0064, Accuracy: 0.4322, Time consumed:1.01s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_16h_35m_06s/ResNet18-Cifar10-seed9-ret50-1-best.pth
Training Epoch: 2 [256/47500]	Loss: 1.3603	LR: 0.100000
Training Epoch: 2 [512/47500]	Loss: 1.4509	LR: 0.100000
Training Epoch: 2 [768/47500]	Loss: 1.3492	LR: 0.100000
Training Epoch: 2 [1024/47500]	Loss: 1.4184	LR: 0.100000
Training Epoch: 2 [1280/47500]	Loss: 1.4238	LR: 0.100000
Training Epoch: 2 [1536/47500]	Loss: 1.3862	LR: 0.100000
Training Epoch: 2 [1792/47500]	Loss: 1.4378	LR: 0.100000
Training Epoch: 2 [2048/47500]	Loss: 1.4831	LR: 0.100000
Training Epoch: 2 [2304/47500]	Loss: 1.4574	LR: 0.100000
Training Epoch: 2 [2560/47500]	Loss: 1.4546	LR: 0.100000
Training Epoch: 2 [2816/47500]	Loss: 1.3440	LR: 0.100000
Training Epoch: 2 [3072/47500]	Loss: 1.4825	LR: 0.100000
Training Epoch: 2 [3328/47500]	Loss: 1.2299	LR: 0.100000
Training Epoch: 2 [3584/47500]	Loss: 1.4621	LR: 0.100000
Training Epoch: 2 [3840/47500]	Loss: 1.5419	LR: 0.100000
Training Epoch: 2 [4096/47500]	Loss: 1.4615	LR: 0.100000
Training Epoch: 2 [4352/47500]	Loss: 1.2263	LR: 0.100000
Training Epoch: 2 [4608/47500]	Loss: 1.2761	LR: 0.100000
Training Epoch: 2 [4864/47500]	Loss: 1.2913	LR: 0.100000
Training Epoch: 2 [5120/47500]	Loss: 1.3412	LR: 0.100000
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Training Epoch: 2 [5888/47500]	Loss: 1.2973	LR: 0.100000
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Training Epoch: 2 [7168/47500]	Loss: 1.4189	LR: 0.100000
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Training Epoch: 2 [8448/47500]	Loss: 1.2997	LR: 0.100000
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Training Epoch: 2 [11776/47500]	Loss: 1.2578	LR: 0.100000
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Training Epoch: 2 [18688/47500]	Loss: 1.1169	LR: 0.100000
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Training Epoch: 2 [19200/47500]	Loss: 1.2027	LR: 0.100000
Training Epoch: 2 [19456/47500]	Loss: 1.2579	LR: 0.100000
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Training Epoch: 2 [20224/47500]	Loss: 1.1774	LR: 0.100000
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Training Epoch: 2 [21760/47500]	Loss: 1.2517	LR: 0.100000
Training Epoch: 2 [22016/47500]	Loss: 1.1404	LR: 0.100000
Training Epoch: 2 [22272/47500]	Loss: 1.2370	LR: 0.100000
Training Epoch: 2 [22528/47500]	Loss: 1.1852	LR: 0.100000
Training Epoch: 2 [22784/47500]	Loss: 1.3021	LR: 0.100000
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Training Epoch: 2 [47360/47500]	Loss: 1.0348	LR: 0.100000
Training Epoch: 2 [47500/47500]	Loss: 0.9531	LR: 0.100000
Epoch 2 - Average Train Loss: 1.1932, Train Accuracy: 0.5708
Epoch 2 training time consumed: 28.81s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0056, Accuracy: 0.5458, Time consumed:1.01s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_16h_35m_06s/ResNet18-Cifar10-seed9-ret50-2-best.pth
Training Epoch: 3 [256/47500]	Loss: 1.0800	LR: 0.100000
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Training Epoch: 3 [47500/47500]	Loss: 0.8381	LR: 0.100000
Epoch 3 - Average Train Loss: 0.9568, Train Accuracy: 0.6608
Epoch 3 training time consumed: 29.21s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0046, Accuracy: 0.6330, Time consumed:0.99s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_16h_35m_06s/ResNet18-Cifar10-seed9-ret50-3-best.pth
Training Epoch: 4 [256/47500]	Loss: 0.8390	LR: 0.100000
Training Epoch: 4 [512/47500]	Loss: 1.0132	LR: 0.100000
Training Epoch: 4 [768/47500]	Loss: 0.8196	LR: 0.100000
Training Epoch: 4 [1024/47500]	Loss: 0.8944	LR: 0.100000
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Training Epoch: 4 [2304/47500]	Loss: 0.7393	LR: 0.100000
Training Epoch: 4 [2560/47500]	Loss: 0.8132	LR: 0.100000
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Training Epoch: 4 [19968/47500]	Loss: 0.7839	LR: 0.100000
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Training Epoch: 4 [24576/47500]	Loss: 0.7753	LR: 0.100000
Training Epoch: 4 [24832/47500]	Loss: 0.7872	LR: 0.100000
Training Epoch: 4 [25088/47500]	Loss: 0.8794	LR: 0.100000
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Training Epoch: 4 [29952/47500]	Loss: 0.9179	LR: 0.100000
Training Epoch: 4 [30208/47500]	Loss: 0.8248	LR: 0.100000
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Training Epoch: 4 [30976/47500]	Loss: 0.8446	LR: 0.100000
Training Epoch: 4 [31232/47500]	Loss: 0.8762	LR: 0.100000
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Training Epoch: 4 [31744/47500]	Loss: 0.7638	LR: 0.100000
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Training Epoch: 4 [35328/47500]	Loss: 0.7595	LR: 0.100000
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Training Epoch: 4 [35840/47500]	Loss: 0.7971	LR: 0.100000
Training Epoch: 4 [36096/47500]	Loss: 0.7663	LR: 0.100000
Training Epoch: 4 [36352/47500]	Loss: 0.7521	LR: 0.100000
Training Epoch: 4 [36608/47500]	Loss: 0.8357	LR: 0.100000
Training Epoch: 4 [36864/47500]	Loss: 0.8244	LR: 0.100000
Training Epoch: 4 [37120/47500]	Loss: 0.7632	LR: 0.100000
Training Epoch: 4 [37376/47500]	Loss: 0.6794	LR: 0.100000
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Training Epoch: 4 [37888/47500]	Loss: 0.7881	LR: 0.100000
Training Epoch: 4 [38144/47500]	Loss: 0.8932	LR: 0.100000
Training Epoch: 4 [38400/47500]	Loss: 0.8188	LR: 0.100000
Training Epoch: 4 [38656/47500]	Loss: 0.6829	LR: 0.100000
Training Epoch: 4 [38912/47500]	Loss: 0.8103	LR: 0.100000
Training Epoch: 4 [39168/47500]	Loss: 0.7218	LR: 0.100000
Training Epoch: 4 [39424/47500]	Loss: 0.8129	LR: 0.100000
Training Epoch: 4 [39680/47500]	Loss: 0.7071	LR: 0.100000
Training Epoch: 4 [39936/47500]	Loss: 0.8286	LR: 0.100000
Training Epoch: 4 [40192/47500]	Loss: 0.7722	LR: 0.100000
Training Epoch: 4 [40448/47500]	Loss: 0.9047	LR: 0.100000
Training Epoch: 4 [40704/47500]	Loss: 1.0109	LR: 0.100000
Training Epoch: 4 [40960/47500]	Loss: 0.7833	LR: 0.100000
Training Epoch: 4 [41216/47500]	Loss: 0.6643	LR: 0.100000
Training Epoch: 4 [41472/47500]	Loss: 0.7497	LR: 0.100000
Training Epoch: 4 [41728/47500]	Loss: 0.7648	LR: 0.100000
Training Epoch: 4 [41984/47500]	Loss: 0.8148	LR: 0.100000
Training Epoch: 4 [42240/47500]	Loss: 0.7808	LR: 0.100000
Training Epoch: 4 [42496/47500]	Loss: 0.8442	LR: 0.100000
Training Epoch: 4 [42752/47500]	Loss: 0.7909	LR: 0.100000
Training Epoch: 4 [43008/47500]	Loss: 0.8450	LR: 0.100000
Training Epoch: 4 [43264/47500]	Loss: 0.9579	LR: 0.100000
Training Epoch: 4 [43520/47500]	Loss: 0.6414	LR: 0.100000
Training Epoch: 4 [43776/47500]	Loss: 0.7547	LR: 0.100000
Training Epoch: 4 [44032/47500]	Loss: 0.8038	LR: 0.100000
Training Epoch: 4 [44288/47500]	Loss: 0.8462	LR: 0.100000
Training Epoch: 4 [44544/47500]	Loss: 0.7327	LR: 0.100000
Training Epoch: 4 [44800/47500]	Loss: 0.7508	LR: 0.100000
Training Epoch: 4 [45056/47500]	Loss: 0.8351	LR: 0.100000
Training Epoch: 4 [45312/47500]	Loss: 0.8890	LR: 0.100000
Training Epoch: 4 [45568/47500]	Loss: 0.7942	LR: 0.100000
Training Epoch: 4 [45824/47500]	Loss: 0.7880	LR: 0.100000
Training Epoch: 4 [46080/47500]	Loss: 0.8713	LR: 0.100000
Training Epoch: 4 [46336/47500]	Loss: 0.7850	LR: 0.100000
Training Epoch: 4 [46592/47500]	Loss: 0.8165	LR: 0.100000
Training Epoch: 4 [46848/47500]	Loss: 0.7018	LR: 0.100000
Training Epoch: 4 [47104/47500]	Loss: 0.7679	LR: 0.100000
Training Epoch: 4 [47360/47500]	Loss: 0.6091	LR: 0.100000
Training Epoch: 4 [47500/47500]	Loss: 0.8077	LR: 0.100000
Epoch 4 - Average Train Loss: 0.8228, Train Accuracy: 0.7112
Epoch 4 training time consumed: 28.94s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0050, Accuracy: 0.6197, Time consumed:1.63s
Training Epoch: 5 [256/47500]	Loss: 0.7682	LR: 0.100000
Training Epoch: 5 [512/47500]	Loss: 0.7306	LR: 0.100000
Training Epoch: 5 [768/47500]	Loss: 0.7689	LR: 0.100000
Training Epoch: 5 [1024/47500]	Loss: 0.7769	LR: 0.100000
Training Epoch: 5 [1280/47500]	Loss: 0.7583	LR: 0.100000
Training Epoch: 5 [1536/47500]	Loss: 0.8748	LR: 0.100000
Training Epoch: 5 [1792/47500]	Loss: 0.6758	LR: 0.100000
Training Epoch: 5 [2048/47500]	Loss: 0.8097	LR: 0.100000
Training Epoch: 5 [2304/47500]	Loss: 0.7594	LR: 0.100000
Training Epoch: 5 [2560/47500]	Loss: 0.7406	LR: 0.100000
Training Epoch: 5 [2816/47500]	Loss: 0.7916	LR: 0.100000
Training Epoch: 5 [3072/47500]	Loss: 0.7194	LR: 0.100000
Training Epoch: 5 [3328/47500]	Loss: 0.6855	LR: 0.100000
Training Epoch: 5 [3584/47500]	Loss: 0.6642	LR: 0.100000
Training Epoch: 5 [3840/47500]	Loss: 0.7877	LR: 0.100000
Training Epoch: 5 [4096/47500]	Loss: 0.6746	LR: 0.100000
Training Epoch: 5 [4352/47500]	Loss: 0.7551	LR: 0.100000
Training Epoch: 5 [4608/47500]	Loss: 0.6328	LR: 0.100000
Training Epoch: 5 [4864/47500]	Loss: 0.6571	LR: 0.100000
Training Epoch: 5 [5120/47500]	Loss: 0.7248	LR: 0.100000
Training Epoch: 5 [5376/47500]	Loss: 0.8540	LR: 0.100000
Training Epoch: 5 [5632/47500]	Loss: 0.7652	LR: 0.100000
Training Epoch: 5 [5888/47500]	Loss: 0.7671	LR: 0.100000
Training Epoch: 5 [6144/47500]	Loss: 0.8312	LR: 0.100000
Training Epoch: 5 [6400/47500]	Loss: 0.8744	LR: 0.100000
Training Epoch: 5 [6656/47500]	Loss: 0.9026	LR: 0.100000
Training Epoch: 5 [6912/47500]	Loss: 0.8943	LR: 0.100000
Training Epoch: 5 [7168/47500]	Loss: 0.8150	LR: 0.100000
Training Epoch: 5 [7424/47500]	Loss: 0.7079	LR: 0.100000
Training Epoch: 5 [7680/47500]	Loss: 0.8660	LR: 0.100000
Training Epoch: 5 [7936/47500]	Loss: 0.6992	LR: 0.100000
Training Epoch: 5 [8192/47500]	Loss: 0.7556	LR: 0.100000
Training Epoch: 5 [8448/47500]	Loss: 0.7623	LR: 0.100000
Training Epoch: 5 [8704/47500]	Loss: 0.7513	LR: 0.100000
Training Epoch: 5 [8960/47500]	Loss: 0.7245	LR: 0.100000
Training Epoch: 5 [9216/47500]	Loss: 0.6667	LR: 0.100000
Training Epoch: 5 [9472/47500]	Loss: 0.8227	LR: 0.100000
Training Epoch: 5 [9728/47500]	Loss: 0.7573	LR: 0.100000
Training Epoch: 5 [9984/47500]	Loss: 0.8156	LR: 0.100000
Training Epoch: 5 [10240/47500]	Loss: 0.8017	LR: 0.100000
Training Epoch: 5 [10496/47500]	Loss: 0.7549	LR: 0.100000
Training Epoch: 5 [10752/47500]	Loss: 0.7802	LR: 0.100000
Training Epoch: 5 [11008/47500]	Loss: 0.7282	LR: 0.100000
Training Epoch: 5 [11264/47500]	Loss: 0.7249	LR: 0.100000
Training Epoch: 5 [11520/47500]	Loss: 0.8755	LR: 0.100000
Training Epoch: 5 [11776/47500]	Loss: 0.7094	LR: 0.100000
Training Epoch: 5 [12032/47500]	Loss: 0.6507	LR: 0.100000
Training Epoch: 5 [12288/47500]	Loss: 0.7702	LR: 0.100000
Training Epoch: 5 [12544/47500]	Loss: 0.6995	LR: 0.100000
Training Epoch: 5 [12800/47500]	Loss: 0.7746	LR: 0.100000
Training Epoch: 5 [13056/47500]	Loss: 0.7854	LR: 0.100000
Training Epoch: 5 [13312/47500]	Loss: 0.6100	LR: 0.100000
Training Epoch: 5 [13568/47500]	Loss: 0.7123	LR: 0.100000
Training Epoch: 5 [13824/47500]	Loss: 0.8065	LR: 0.100000
Training Epoch: 5 [14080/47500]	Loss: 0.7438	LR: 0.100000
Training Epoch: 5 [14336/47500]	Loss: 0.6771	LR: 0.100000
Training Epoch: 5 [14592/47500]	Loss: 0.6937	LR: 0.100000
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Training Epoch: 5 [15872/47500]	Loss: 0.7830	LR: 0.100000
Training Epoch: 5 [16128/47500]	Loss: 0.7041	LR: 0.100000
Training Epoch: 5 [16384/47500]	Loss: 0.9226	LR: 0.100000
Training Epoch: 5 [16640/47500]	Loss: 0.7706	LR: 0.100000
Training Epoch: 5 [16896/47500]	Loss: 0.7423	LR: 0.100000
Training Epoch: 5 [17152/47500]	Loss: 0.6159	LR: 0.100000
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Training Epoch: 5 [19456/47500]	Loss: 0.7299	LR: 0.100000
Training Epoch: 5 [19712/47500]	Loss: 0.7042	LR: 0.100000
Training Epoch: 5 [19968/47500]	Loss: 0.6791	LR: 0.100000
Training Epoch: 5 [20224/47500]	Loss: 0.7891	LR: 0.100000
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Training Epoch: 5 [20736/47500]	Loss: 0.8188	LR: 0.100000
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Training Epoch: 5 [24320/47500]	Loss: 0.9014	LR: 0.100000
Training Epoch: 5 [24576/47500]	Loss: 0.7373	LR: 0.100000
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Training Epoch: 5 [26368/47500]	Loss: 0.8388	LR: 0.100000
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Training Epoch: 5 [26880/47500]	Loss: 0.7119	LR: 0.100000
Training Epoch: 5 [27136/47500]	Loss: 0.6339	LR: 0.100000
Training Epoch: 5 [27392/47500]	Loss: 0.7585	LR: 0.100000
Training Epoch: 5 [27648/47500]	Loss: 0.7039	LR: 0.100000
Training Epoch: 5 [27904/47500]	Loss: 0.6708	LR: 0.100000
Training Epoch: 5 [28160/47500]	Loss: 0.6643	LR: 0.100000
Training Epoch: 5 [28416/47500]	Loss: 0.7428	LR: 0.100000
Training Epoch: 5 [28672/47500]	Loss: 0.6561	LR: 0.100000
Training Epoch: 5 [28928/47500]	Loss: 0.7346	LR: 0.100000
Training Epoch: 5 [29184/47500]	Loss: 0.6529	LR: 0.100000
Training Epoch: 5 [29440/47500]	Loss: 0.6622	LR: 0.100000
Training Epoch: 5 [29696/47500]	Loss: 0.7301	LR: 0.100000
Training Epoch: 5 [29952/47500]	Loss: 0.7317	LR: 0.100000
Training Epoch: 5 [30208/47500]	Loss: 0.7037	LR: 0.100000
Training Epoch: 5 [30464/47500]	Loss: 0.7977	LR: 0.100000
Training Epoch: 5 [30720/47500]	Loss: 0.6964	LR: 0.100000
Training Epoch: 5 [30976/47500]	Loss: 0.8881	LR: 0.100000
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Training Epoch: 5 [47500/47500]	Loss: 0.7442	LR: 0.100000
Epoch 5 - Average Train Loss: 0.7365, Train Accuracy: 0.7435
Epoch 5 training time consumed: 29.73s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0031, Accuracy: 0.7408, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_16h_35m_06s/ResNet18-Cifar10-seed9-ret50-5-best.pth
Training Epoch: 6 [256/47500]	Loss: 0.6395	LR: 0.100000
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Epoch 6 - Average Train Loss: 0.6548, Train Accuracy: 0.7705
Epoch 6 training time consumed: 29.07s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0029, Accuracy: 0.7527, Time consumed:0.99s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_16h_35m_06s/ResNet18-Cifar10-seed9-ret50-6-best.pth
Training Epoch: 7 [256/47500]	Loss: 0.6392	LR: 0.100000
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Training Epoch: 7 [47500/47500]	Loss: 0.6873	LR: 0.100000
Epoch 7 - Average Train Loss: 0.6142, Train Accuracy: 0.7857
Epoch 7 training time consumed: 29.34s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0022, Accuracy: 0.8050, Time consumed:0.99s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_16h_35m_06s/ResNet18-Cifar10-seed9-ret50-7-best.pth
Training Epoch: 8 [256/47500]	Loss: 0.6246	LR: 0.020000
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Training Epoch: 8 [47500/47500]	Loss: 0.3799	LR: 0.020000
Epoch 8 - Average Train Loss: 0.4524, Train Accuracy: 0.8423
Epoch 8 training time consumed: 29.18s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0017, Accuracy: 0.8531, Time consumed:0.98s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_16h_35m_06s/ResNet18-Cifar10-seed9-ret50-8-best.pth
Training Epoch: 9 [256/47500]	Loss: 0.4087	LR: 0.020000
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Training Epoch: 9 [47500/47500]	Loss: 0.3335	LR: 0.020000
Epoch 9 - Average Train Loss: 0.4084, Train Accuracy: 0.8553
Epoch 9 training time consumed: 29.34s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0017, Accuracy: 0.8606, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_16h_35m_06s/ResNet18-Cifar10-seed9-ret50-9-best.pth
Training Epoch: 10 [256/47500]	Loss: 0.3847	LR: 0.020000
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Training Epoch: 10 [14080/47500]	Loss: 0.4744	LR: 0.020000
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Training Epoch: 10 [16896/47500]	Loss: 0.3660	LR: 0.020000
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Training Epoch: 10 [22016/47500]	Loss: 0.4061	LR: 0.020000
Training Epoch: 10 [22272/47500]	Loss: 0.4339	LR: 0.020000
Training Epoch: 10 [22528/47500]	Loss: 0.4516	LR: 0.020000
Training Epoch: 10 [22784/47500]	Loss: 0.3825	LR: 0.020000
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Training Epoch: 10 [25344/47500]	Loss: 0.3640	LR: 0.020000
Training Epoch: 10 [25600/47500]	Loss: 0.5360	LR: 0.020000
Training Epoch: 10 [25856/47500]	Loss: 0.4198	LR: 0.020000
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Training Epoch: 10 [32000/47500]	Loss: 0.3319	LR: 0.020000
Training Epoch: 10 [32256/47500]	Loss: 0.3509	LR: 0.020000
Training Epoch: 10 [32512/47500]	Loss: 0.4149	LR: 0.020000
Training Epoch: 10 [32768/47500]	Loss: 0.3729	LR: 0.020000
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Training Epoch: 10 [35584/47500]	Loss: 0.3711	LR: 0.020000
Training Epoch: 10 [35840/47500]	Loss: 0.3402	LR: 0.020000
Training Epoch: 10 [36096/47500]	Loss: 0.3772	LR: 0.020000
Training Epoch: 10 [36352/47500]	Loss: 0.4281	LR: 0.020000
Training Epoch: 10 [36608/47500]	Loss: 0.3820	LR: 0.020000
Training Epoch: 10 [36864/47500]	Loss: 0.3388	LR: 0.020000
Training Epoch: 10 [37120/47500]	Loss: 0.3915	LR: 0.020000
Training Epoch: 10 [37376/47500]	Loss: 0.3800	LR: 0.020000
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Training Epoch: 10 [37888/47500]	Loss: 0.2916	LR: 0.020000
Training Epoch: 10 [38144/47500]	Loss: 0.4195	LR: 0.020000
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Training Epoch: 10 [38656/47500]	Loss: 0.3410	LR: 0.020000
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Training Epoch: 10 [39168/47500]	Loss: 0.3884	LR: 0.020000
Training Epoch: 10 [39424/47500]	Loss: 0.3388	LR: 0.020000
Training Epoch: 10 [39680/47500]	Loss: 0.4369	LR: 0.020000
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Training Epoch: 10 [40192/47500]	Loss: 0.3550	LR: 0.020000
Training Epoch: 10 [40448/47500]	Loss: 0.4123	LR: 0.020000
Training Epoch: 10 [40704/47500]	Loss: 0.4153	LR: 0.020000
Training Epoch: 10 [40960/47500]	Loss: 0.3832	LR: 0.020000
Training Epoch: 10 [41216/47500]	Loss: 0.3976	LR: 0.020000
Training Epoch: 10 [41472/47500]	Loss: 0.3795	LR: 0.020000
Training Epoch: 10 [41728/47500]	Loss: 0.3755	LR: 0.020000
Training Epoch: 10 [41984/47500]	Loss: 0.3553	LR: 0.020000
Training Epoch: 10 [42240/47500]	Loss: 0.4377	LR: 0.020000
Training Epoch: 10 [42496/47500]	Loss: 0.3364	LR: 0.020000
Training Epoch: 10 [42752/47500]	Loss: 0.3327	LR: 0.020000
Training Epoch: 10 [43008/47500]	Loss: 0.3435	LR: 0.020000
Training Epoch: 10 [43264/47500]	Loss: 0.4665	LR: 0.020000
Training Epoch: 10 [43520/47500]	Loss: 0.3879	LR: 0.020000
Training Epoch: 10 [43776/47500]	Loss: 0.2319	LR: 0.020000
Training Epoch: 10 [44032/47500]	Loss: 0.3210	LR: 0.020000
Training Epoch: 10 [44288/47500]	Loss: 0.3292	LR: 0.020000
Training Epoch: 10 [44544/47500]	Loss: 0.3003	LR: 0.020000
Training Epoch: 10 [44800/47500]	Loss: 0.2717	LR: 0.020000
Training Epoch: 10 [45056/47500]	Loss: 0.4206	LR: 0.020000
Training Epoch: 10 [45312/47500]	Loss: 0.4271	LR: 0.020000
Training Epoch: 10 [45568/47500]	Loss: 0.4260	LR: 0.020000
Training Epoch: 10 [45824/47500]	Loss: 0.4092	LR: 0.020000
Training Epoch: 10 [46080/47500]	Loss: 0.3312	LR: 0.020000
Training Epoch: 10 [46336/47500]	Loss: 0.3719	LR: 0.020000
Training Epoch: 10 [46592/47500]	Loss: 0.3710	LR: 0.020000
Training Epoch: 10 [46848/47500]	Loss: 0.4722	LR: 0.020000
Training Epoch: 10 [47104/47500]	Loss: 0.4053	LR: 0.020000
Training Epoch: 10 [47360/47500]	Loss: 0.3618	LR: 0.020000
Training Epoch: 10 [47500/47500]	Loss: 0.4913	LR: 0.020000
Epoch 10 - Average Train Loss: 0.3884, Train Accuracy: 0.8639
Epoch 10 training time consumed: 29.08s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0017, Accuracy: 0.8509, Time consumed:0.97s
Training Epoch: 11 [256/47500]	Loss: 0.3325	LR: 0.020000
Training Epoch: 11 [512/47500]	Loss: 0.3763	LR: 0.020000
Training Epoch: 11 [768/47500]	Loss: 0.3510	LR: 0.020000
Training Epoch: 11 [1024/47500]	Loss: 0.2862	LR: 0.020000
Training Epoch: 11 [1280/47500]	Loss: 0.3356	LR: 0.020000
Training Epoch: 11 [1536/47500]	Loss: 0.3371	LR: 0.020000
Training Epoch: 11 [1792/47500]	Loss: 0.4013	LR: 0.020000
Training Epoch: 11 [2048/47500]	Loss: 0.3735	LR: 0.020000
Training Epoch: 11 [2304/47500]	Loss: 0.4440	LR: 0.020000
Training Epoch: 11 [2560/47500]	Loss: 0.3215	LR: 0.020000
Training Epoch: 11 [2816/47500]	Loss: 0.4160	LR: 0.020000
Training Epoch: 11 [3072/47500]	Loss: 0.3862	LR: 0.020000
Training Epoch: 11 [3328/47500]	Loss: 0.3674	LR: 0.020000
Training Epoch: 11 [3584/47500]	Loss: 0.4229	LR: 0.020000
Training Epoch: 11 [3840/47500]	Loss: 0.4045	LR: 0.020000
Training Epoch: 11 [4096/47500]	Loss: 0.2976	LR: 0.020000
Training Epoch: 11 [4352/47500]	Loss: 0.3487	LR: 0.020000
Training Epoch: 11 [4608/47500]	Loss: 0.3796	LR: 0.020000
Training Epoch: 11 [4864/47500]	Loss: 0.3848	LR: 0.020000
Training Epoch: 11 [5120/47500]	Loss: 0.4154	LR: 0.020000
Training Epoch: 11 [5376/47500]	Loss: 0.3873	LR: 0.020000
Training Epoch: 11 [5632/47500]	Loss: 0.3398	LR: 0.020000
Training Epoch: 11 [5888/47500]	Loss: 0.3159	LR: 0.020000
Training Epoch: 11 [6144/47500]	Loss: 0.3902	LR: 0.020000
Training Epoch: 11 [6400/47500]	Loss: 0.4102	LR: 0.020000
Training Epoch: 11 [6656/47500]	Loss: 0.4084	LR: 0.020000
Training Epoch: 11 [6912/47500]	Loss: 0.3354	LR: 0.020000
Training Epoch: 11 [7168/47500]	Loss: 0.2415	LR: 0.020000
Training Epoch: 11 [7424/47500]	Loss: 0.4464	LR: 0.020000
Training Epoch: 11 [7680/47500]	Loss: 0.3061	LR: 0.020000
Training Epoch: 11 [7936/47500]	Loss: 0.3059	LR: 0.020000
Training Epoch: 11 [8192/47500]	Loss: 0.3175	LR: 0.020000
Training Epoch: 11 [8448/47500]	Loss: 0.4408	LR: 0.020000
Training Epoch: 11 [8704/47500]	Loss: 0.3595	LR: 0.020000
Training Epoch: 11 [8960/47500]	Loss: 0.3221	LR: 0.020000
Training Epoch: 11 [9216/47500]	Loss: 0.3628	LR: 0.020000
Training Epoch: 11 [9472/47500]	Loss: 0.3419	LR: 0.020000
Training Epoch: 11 [9728/47500]	Loss: 0.3413	LR: 0.020000
Training Epoch: 11 [9984/47500]	Loss: 0.4751	LR: 0.020000
Training Epoch: 11 [10240/47500]	Loss: 0.3589	LR: 0.020000
Training Epoch: 11 [10496/47500]	Loss: 0.3108	LR: 0.020000
Training Epoch: 11 [10752/47500]	Loss: 0.3769	LR: 0.020000
Training Epoch: 11 [11008/47500]	Loss: 0.3400	LR: 0.020000
Training Epoch: 11 [11264/47500]	Loss: 0.3509	LR: 0.020000
Training Epoch: 11 [11520/47500]	Loss: 0.3667	LR: 0.020000
Training Epoch: 11 [11776/47500]	Loss: 0.4218	LR: 0.020000
Training Epoch: 11 [12032/47500]	Loss: 0.3927	LR: 0.020000
Training Epoch: 11 [12288/47500]	Loss: 0.2504	LR: 0.020000
Training Epoch: 11 [12544/47500]	Loss: 0.3881	LR: 0.020000
Training Epoch: 11 [12800/47500]	Loss: 0.3250	LR: 0.020000
Training Epoch: 11 [13056/47500]	Loss: 0.3113	LR: 0.020000
Training Epoch: 11 [13312/47500]	Loss: 0.4447	LR: 0.020000
Training Epoch: 11 [13568/47500]	Loss: 0.2742	LR: 0.020000
Training Epoch: 11 [13824/47500]	Loss: 0.4437	LR: 0.020000
Training Epoch: 11 [14080/47500]	Loss: 0.3540	LR: 0.020000
Training Epoch: 11 [14336/47500]	Loss: 0.3880	LR: 0.020000
Training Epoch: 11 [14592/47500]	Loss: 0.4078	LR: 0.020000
Training Epoch: 11 [14848/47500]	Loss: 0.4186	LR: 0.020000
Training Epoch: 11 [15104/47500]	Loss: 0.3840	LR: 0.020000
Training Epoch: 11 [15360/47500]	Loss: 0.3055	LR: 0.020000
Training Epoch: 11 [15616/47500]	Loss: 0.4481	LR: 0.020000
Training Epoch: 11 [15872/47500]	Loss: 0.4644	LR: 0.020000
Training Epoch: 11 [16128/47500]	Loss: 0.3196	LR: 0.020000
Training Epoch: 11 [16384/47500]	Loss: 0.3934	LR: 0.020000
Training Epoch: 11 [16640/47500]	Loss: 0.3418	LR: 0.020000
Training Epoch: 11 [16896/47500]	Loss: 0.4318	LR: 0.020000
Training Epoch: 11 [17152/47500]	Loss: 0.3659	LR: 0.020000
Training Epoch: 11 [17408/47500]	Loss: 0.3449	LR: 0.020000
Training Epoch: 11 [17664/47500]	Loss: 0.4805	LR: 0.020000
Training Epoch: 11 [17920/47500]	Loss: 0.4181	LR: 0.020000
Training Epoch: 11 [18176/47500]	Loss: 0.4412	LR: 0.020000
Training Epoch: 11 [18432/47500]	Loss: 0.3712	LR: 0.020000
Training Epoch: 11 [18688/47500]	Loss: 0.4273	LR: 0.020000
Training Epoch: 11 [18944/47500]	Loss: 0.3515	LR: 0.020000
Training Epoch: 11 [19200/47500]	Loss: 0.3486	LR: 0.020000
Training Epoch: 11 [19456/47500]	Loss: 0.4030	LR: 0.020000
Training Epoch: 11 [19712/47500]	Loss: 0.3701	LR: 0.020000
Training Epoch: 11 [19968/47500]	Loss: 0.3922	LR: 0.020000
Training Epoch: 11 [20224/47500]	Loss: 0.3643	LR: 0.020000
Training Epoch: 11 [20480/47500]	Loss: 0.4197	LR: 0.020000
Training Epoch: 11 [20736/47500]	Loss: 0.4334	LR: 0.020000
Training Epoch: 11 [20992/47500]	Loss: 0.3400	LR: 0.020000
Training Epoch: 11 [21248/47500]	Loss: 0.3584	LR: 0.020000
Training Epoch: 11 [21504/47500]	Loss: 0.4269	LR: 0.020000
Training Epoch: 11 [21760/47500]	Loss: 0.3939	LR: 0.020000
Training Epoch: 11 [22016/47500]	Loss: 0.4133	LR: 0.020000
Training Epoch: 11 [22272/47500]	Loss: 0.3655	LR: 0.020000
Training Epoch: 11 [22528/47500]	Loss: 0.3204	LR: 0.020000
Training Epoch: 11 [22784/47500]	Loss: 0.3605	LR: 0.020000
Training Epoch: 11 [23040/47500]	Loss: 0.3288	LR: 0.020000
Training Epoch: 11 [23296/47500]	Loss: 0.3866	LR: 0.020000
Training Epoch: 11 [23552/47500]	Loss: 0.3308	LR: 0.020000
Training Epoch: 11 [23808/47500]	Loss: 0.3667	LR: 0.020000
Training Epoch: 11 [24064/47500]	Loss: 0.3829	LR: 0.020000
Training Epoch: 11 [24320/47500]	Loss: 0.4047	LR: 0.020000
Training Epoch: 11 [24576/47500]	Loss: 0.4301	LR: 0.020000
Training Epoch: 11 [24832/47500]	Loss: 0.3530	LR: 0.020000
Training Epoch: 11 [25088/47500]	Loss: 0.3794	LR: 0.020000
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Training Epoch: 11 [25600/47500]	Loss: 0.3594	LR: 0.020000
Training Epoch: 11 [25856/47500]	Loss: 0.3897	LR: 0.020000
Training Epoch: 11 [26112/47500]	Loss: 0.4189	LR: 0.020000
Training Epoch: 11 [26368/47500]	Loss: 0.3692	LR: 0.020000
Training Epoch: 11 [26624/47500]	Loss: 0.4142	LR: 0.020000
Training Epoch: 11 [26880/47500]	Loss: 0.3763	LR: 0.020000
Training Epoch: 11 [27136/47500]	Loss: 0.4370	LR: 0.020000
Training Epoch: 11 [27392/47500]	Loss: 0.3569	LR: 0.020000
Training Epoch: 11 [27648/47500]	Loss: 0.3317	LR: 0.020000
Training Epoch: 11 [27904/47500]	Loss: 0.3509	LR: 0.020000
Training Epoch: 11 [28160/47500]	Loss: 0.4267	LR: 0.020000
Training Epoch: 11 [28416/47500]	Loss: 0.4984	LR: 0.020000
Training Epoch: 11 [28672/47500]	Loss: 0.5076	LR: 0.020000
Training Epoch: 11 [28928/47500]	Loss: 0.3933	LR: 0.020000
Training Epoch: 11 [29184/47500]	Loss: 0.3398	LR: 0.020000
Training Epoch: 11 [29440/47500]	Loss: 0.3202	LR: 0.020000
Training Epoch: 11 [29696/47500]	Loss: 0.3474	LR: 0.020000
Training Epoch: 11 [29952/47500]	Loss: 0.4274	LR: 0.020000
Training Epoch: 11 [30208/47500]	Loss: 0.3206	LR: 0.020000
Training Epoch: 11 [30464/47500]	Loss: 0.3485	LR: 0.020000
Training Epoch: 11 [30720/47500]	Loss: 0.2624	LR: 0.020000
Training Epoch: 11 [30976/47500]	Loss: 0.3378	LR: 0.020000
Training Epoch: 11 [31232/47500]	Loss: 0.3199	LR: 0.020000
Training Epoch: 11 [31488/47500]	Loss: 0.3934	LR: 0.020000
Training Epoch: 11 [31744/47500]	Loss: 0.3786	LR: 0.020000
Training Epoch: 11 [32000/47500]	Loss: 0.3099	LR: 0.020000
Training Epoch: 11 [32256/47500]	Loss: 0.3843	LR: 0.020000
Training Epoch: 11 [32512/47500]	Loss: 0.4830	LR: 0.020000
Training Epoch: 11 [32768/47500]	Loss: 0.4285	LR: 0.020000
Training Epoch: 11 [33024/47500]	Loss: 0.4061	LR: 0.020000
Training Epoch: 11 [33280/47500]	Loss: 0.3563	LR: 0.020000
Training Epoch: 11 [33536/47500]	Loss: 0.3628	LR: 0.020000
Training Epoch: 11 [33792/47500]	Loss: 0.3386	LR: 0.020000
Training Epoch: 11 [34048/47500]	Loss: 0.4071	LR: 0.020000
Training Epoch: 11 [34304/47500]	Loss: 0.3983	LR: 0.020000
Training Epoch: 11 [34560/47500]	Loss: 0.4344	LR: 0.020000
Training Epoch: 11 [34816/47500]	Loss: 0.2627	LR: 0.020000
Training Epoch: 11 [35072/47500]	Loss: 0.3014	LR: 0.020000
Training Epoch: 11 [35328/47500]	Loss: 0.3582	LR: 0.020000
Training Epoch: 11 [35584/47500]	Loss: 0.3118	LR: 0.020000
Training Epoch: 11 [35840/47500]	Loss: 0.3548	LR: 0.020000
Training Epoch: 11 [36096/47500]	Loss: 0.3056	LR: 0.020000
Training Epoch: 11 [36352/47500]	Loss: 0.4246	LR: 0.020000
Training Epoch: 11 [36608/47500]	Loss: 0.3762	LR: 0.020000
Training Epoch: 11 [36864/47500]	Loss: 0.3975	LR: 0.020000
Training Epoch: 11 [37120/47500]	Loss: 0.3957	LR: 0.020000
Training Epoch: 11 [37376/47500]	Loss: 0.2635	LR: 0.020000
Training Epoch: 11 [37632/47500]	Loss: 0.4419	LR: 0.020000
Training Epoch: 11 [37888/47500]	Loss: 0.4230	LR: 0.020000
Training Epoch: 11 [38144/47500]	Loss: 0.3568	LR: 0.020000
Training Epoch: 11 [38400/47500]	Loss: 0.4537	LR: 0.020000
Training Epoch: 11 [38656/47500]	Loss: 0.3467	LR: 0.020000
Training Epoch: 11 [38912/47500]	Loss: 0.4004	LR: 0.020000
Training Epoch: 11 [39168/47500]	Loss: 0.3392	LR: 0.020000
Training Epoch: 11 [39424/47500]	Loss: 0.3334	LR: 0.020000
Training Epoch: 11 [39680/47500]	Loss: 0.4089	LR: 0.020000
Training Epoch: 11 [39936/47500]	Loss: 0.3836	LR: 0.020000
Training Epoch: 11 [40192/47500]	Loss: 0.3433	LR: 0.020000
Training Epoch: 11 [40448/47500]	Loss: 0.3719	LR: 0.020000
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Training Epoch: 11 [47360/47500]	Loss: 0.3041	LR: 0.020000
Training Epoch: 11 [47500/47500]	Loss: 0.3990	LR: 0.020000
Epoch 11 - Average Train Loss: 0.3699, Train Accuracy: 0.8707
Epoch 11 training time consumed: 29.27s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0016, Accuracy: 0.8709, Time consumed:1.03s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_16h_35m_06s/ResNet18-Cifar10-seed9-ret50-11-best.pth
Training Epoch: 12 [256/47500]	Loss: 0.3412	LR: 0.004000
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Training Epoch: 12 [46592/47500]	Loss: 0.3597	LR: 0.004000
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Training Epoch: 12 [47360/47500]	Loss: 0.3486	LR: 0.004000
Training Epoch: 12 [47500/47500]	Loss: 0.3338	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3243, Train Accuracy: 0.8872
Epoch 12 training time consumed: 29.45s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0014, Accuracy: 0.8829, Time consumed:0.98s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_16h_35m_06s/ResNet18-Cifar10-seed9-ret50-12-best.pth
Training Epoch: 13 [256/47500]	Loss: 0.2787	LR: 0.004000
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Training Epoch: 13 [47500/47500]	Loss: 0.2419	LR: 0.004000
Epoch 13 - Average Train Loss: 0.3091, Train Accuracy: 0.8927
Epoch 13 training time consumed: 29.29s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0014, Accuracy: 0.8833, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_16h_35m_06s/ResNet18-Cifar10-seed9-ret50-13-best.pth
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Training Epoch: 14 [47360/47500]	Loss: 0.3002	LR: 0.004000
Training Epoch: 14 [47500/47500]	Loss: 0.2513	LR: 0.004000
Epoch 14 - Average Train Loss: 0.2984, Train Accuracy: 0.8966
Epoch 14 training time consumed: 29.23s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0013, Accuracy: 0.8858, Time consumed:1.00s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_16h_35m_06s/ResNet18-Cifar10-seed9-ret50-14-best.pth
Training Epoch: 15 [256/47500]	Loss: 0.2645	LR: 0.004000
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Training Epoch: 15 [47500/47500]	Loss: 0.3072	LR: 0.004000
Epoch 15 - Average Train Loss: 0.2932, Train Accuracy: 0.8975
Epoch 15 training time consumed: 29.15s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0013, Accuracy: 0.8873, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_16h_35m_06s/ResNet18-Cifar10-seed9-ret50-15-best.pth
Training Epoch: 16 [256/47500]	Loss: 0.2769	LR: 0.000800
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Training Epoch: 16 [19200/47500]	Loss: 0.2903	LR: 0.000800
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Training Epoch: 16 [19712/47500]	Loss: 0.2957	LR: 0.000800
Training Epoch: 16 [19968/47500]	Loss: 0.2197	LR: 0.000800
Training Epoch: 16 [20224/47500]	Loss: 0.2212	LR: 0.000800
Training Epoch: 16 [20480/47500]	Loss: 0.2331	LR: 0.000800
Training Epoch: 16 [20736/47500]	Loss: 0.2697	LR: 0.000800
Training Epoch: 16 [20992/47500]	Loss: 0.2787	LR: 0.000800
Training Epoch: 16 [21248/47500]	Loss: 0.3305	LR: 0.000800
Training Epoch: 16 [21504/47500]	Loss: 0.2280	LR: 0.000800
Training Epoch: 16 [21760/47500]	Loss: 0.2959	LR: 0.000800
Training Epoch: 16 [22016/47500]	Loss: 0.2673	LR: 0.000800
Training Epoch: 16 [22272/47500]	Loss: 0.3008	LR: 0.000800
Training Epoch: 16 [22528/47500]	Loss: 0.3282	LR: 0.000800
Training Epoch: 16 [22784/47500]	Loss: 0.2475	LR: 0.000800
Training Epoch: 16 [23040/47500]	Loss: 0.2502	LR: 0.000800
Training Epoch: 16 [23296/47500]	Loss: 0.2928	LR: 0.000800
Training Epoch: 16 [23552/47500]	Loss: 0.2929	LR: 0.000800
Training Epoch: 16 [23808/47500]	Loss: 0.2944	LR: 0.000800
Training Epoch: 16 [24064/47500]	Loss: 0.2248	LR: 0.000800
Training Epoch: 16 [24320/47500]	Loss: 0.2279	LR: 0.000800
Training Epoch: 16 [24576/47500]	Loss: 0.3013	LR: 0.000800
Training Epoch: 16 [24832/47500]	Loss: 0.2351	LR: 0.000800
Training Epoch: 16 [25088/47500]	Loss: 0.3544	LR: 0.000800
Training Epoch: 16 [25344/47500]	Loss: 0.2718	LR: 0.000800
Training Epoch: 16 [25600/47500]	Loss: 0.3331	LR: 0.000800
Training Epoch: 16 [25856/47500]	Loss: 0.2857	LR: 0.000800
Training Epoch: 16 [26112/47500]	Loss: 0.3847	LR: 0.000800
Training Epoch: 16 [26368/47500]	Loss: 0.2625	LR: 0.000800
Training Epoch: 16 [26624/47500]	Loss: 0.2938	LR: 0.000800
Training Epoch: 16 [26880/47500]	Loss: 0.2877	LR: 0.000800
Training Epoch: 16 [27136/47500]	Loss: 0.2863	LR: 0.000800
Training Epoch: 16 [27392/47500]	Loss: 0.2828	LR: 0.000800
Training Epoch: 16 [27648/47500]	Loss: 0.2930	LR: 0.000800
Training Epoch: 16 [27904/47500]	Loss: 0.2695	LR: 0.000800
Training Epoch: 16 [28160/47500]	Loss: 0.2089	LR: 0.000800
Training Epoch: 16 [28416/47500]	Loss: 0.3345	LR: 0.000800
Training Epoch: 16 [28672/47500]	Loss: 0.2831	LR: 0.000800
Training Epoch: 16 [28928/47500]	Loss: 0.2947	LR: 0.000800
Training Epoch: 16 [29184/47500]	Loss: 0.2431	LR: 0.000800
Training Epoch: 16 [29440/47500]	Loss: 0.2993	LR: 0.000800
Training Epoch: 16 [29696/47500]	Loss: 0.3636	LR: 0.000800
Training Epoch: 16 [29952/47500]	Loss: 0.2104	LR: 0.000800
Training Epoch: 16 [30208/47500]	Loss: 0.2916	LR: 0.000800
Training Epoch: 16 [30464/47500]	Loss: 0.2445	LR: 0.000800
Training Epoch: 16 [30720/47500]	Loss: 0.3123	LR: 0.000800
Training Epoch: 16 [30976/47500]	Loss: 0.2913	LR: 0.000800
Training Epoch: 16 [31232/47500]	Loss: 0.2605	LR: 0.000800
Training Epoch: 16 [31488/47500]	Loss: 0.2319	LR: 0.000800
Training Epoch: 16 [31744/47500]	Loss: 0.2941	LR: 0.000800
Training Epoch: 16 [32000/47500]	Loss: 0.2895	LR: 0.000800
Training Epoch: 16 [32256/47500]	Loss: 0.2308	LR: 0.000800
Training Epoch: 16 [32512/47500]	Loss: 0.4108	LR: 0.000800
Training Epoch: 16 [32768/47500]	Loss: 0.1798	LR: 0.000800
Training Epoch: 16 [33024/47500]	Loss: 0.2589	LR: 0.000800
Training Epoch: 16 [33280/47500]	Loss: 0.2950	LR: 0.000800
Training Epoch: 16 [33536/47500]	Loss: 0.2402	LR: 0.000800
Training Epoch: 16 [33792/47500]	Loss: 0.2231	LR: 0.000800
Training Epoch: 16 [34048/47500]	Loss: 0.3005	LR: 0.000800
Training Epoch: 16 [34304/47500]	Loss: 0.2568	LR: 0.000800
Training Epoch: 16 [34560/47500]	Loss: 0.2373	LR: 0.000800
Training Epoch: 16 [34816/47500]	Loss: 0.2635	LR: 0.000800
Training Epoch: 16 [35072/47500]	Loss: 0.3272	LR: 0.000800
Training Epoch: 16 [35328/47500]	Loss: 0.3117	LR: 0.000800
Training Epoch: 16 [35584/47500]	Loss: 0.2828	LR: 0.000800
Training Epoch: 16 [35840/47500]	Loss: 0.3036	LR: 0.000800
Training Epoch: 16 [36096/47500]	Loss: 0.3401	LR: 0.000800
Training Epoch: 16 [36352/47500]	Loss: 0.3982	LR: 0.000800
Training Epoch: 16 [36608/47500]	Loss: 0.2065	LR: 0.000800
Training Epoch: 16 [36864/47500]	Loss: 0.3162	LR: 0.000800
Training Epoch: 16 [37120/47500]	Loss: 0.3254	LR: 0.000800
Training Epoch: 16 [37376/47500]	Loss: 0.2639	LR: 0.000800
Training Epoch: 16 [37632/47500]	Loss: 0.3168	LR: 0.000800
Training Epoch: 16 [37888/47500]	Loss: 0.2504	LR: 0.000800
Training Epoch: 16 [38144/47500]	Loss: 0.3307	LR: 0.000800
Training Epoch: 16 [38400/47500]	Loss: 0.2783	LR: 0.000800
Training Epoch: 16 [38656/47500]	Loss: 0.2797	LR: 0.000800
Training Epoch: 16 [38912/47500]	Loss: 0.2639	LR: 0.000800
Training Epoch: 16 [39168/47500]	Loss: 0.2229	LR: 0.000800
Training Epoch: 16 [39424/47500]	Loss: 0.3951	LR: 0.000800
Training Epoch: 16 [39680/47500]	Loss: 0.3092	LR: 0.000800
Training Epoch: 16 [39936/47500]	Loss: 0.2632	LR: 0.000800
Training Epoch: 16 [40192/47500]	Loss: 0.3205	LR: 0.000800
Training Epoch: 16 [40448/47500]	Loss: 0.2854	LR: 0.000800
Training Epoch: 16 [40704/47500]	Loss: 0.2592	LR: 0.000800
Training Epoch: 16 [40960/47500]	Loss: 0.2420	LR: 0.000800
Training Epoch: 16 [41216/47500]	Loss: 0.3102	LR: 0.000800
Training Epoch: 16 [41472/47500]	Loss: 0.1695	LR: 0.000800
Training Epoch: 16 [41728/47500]	Loss: 0.2357	LR: 0.000800
Training Epoch: 16 [41984/47500]	Loss: 0.3189	LR: 0.000800
Training Epoch: 16 [42240/47500]	Loss: 0.3091	LR: 0.000800
Training Epoch: 16 [42496/47500]	Loss: 0.3343	LR: 0.000800
Training Epoch: 16 [42752/47500]	Loss: 0.2693	LR: 0.000800
Training Epoch: 16 [43008/47500]	Loss: 0.2826	LR: 0.000800
Training Epoch: 16 [43264/47500]	Loss: 0.2062	LR: 0.000800
Training Epoch: 16 [43520/47500]	Loss: 0.2863	LR: 0.000800
Training Epoch: 16 [43776/47500]	Loss: 0.3158	LR: 0.000800
Training Epoch: 16 [44032/47500]	Loss: 0.3373	LR: 0.000800
Training Epoch: 16 [44288/47500]	Loss: 0.3593	LR: 0.000800
Training Epoch: 16 [44544/47500]	Loss: 0.2515	LR: 0.000800
Training Epoch: 16 [44800/47500]	Loss: 0.2737	LR: 0.000800
Training Epoch: 16 [45056/47500]	Loss: 0.3584	LR: 0.000800
Training Epoch: 16 [45312/47500]	Loss: 0.1987	LR: 0.000800
Training Epoch: 16 [45568/47500]	Loss: 0.1716	LR: 0.000800
Training Epoch: 16 [45824/47500]	Loss: 0.2543	LR: 0.000800
Training Epoch: 16 [46080/47500]	Loss: 0.2098	LR: 0.000800
Training Epoch: 16 [46336/47500]	Loss: 0.3018	LR: 0.000800
Training Epoch: 16 [46592/47500]	Loss: 0.2856	LR: 0.000800
Training Epoch: 16 [46848/47500]	Loss: 0.3477	LR: 0.000800
Training Epoch: 16 [47104/47500]	Loss: 0.2843	LR: 0.000800
Training Epoch: 16 [47360/47500]	Loss: 0.2685	LR: 0.000800
Training Epoch: 16 [47500/47500]	Loss: 0.2496	LR: 0.000800
Epoch 16 - Average Train Loss: 0.2793, Train Accuracy: 0.9018
Epoch 16 training time consumed: 29.24s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0013, Accuracy: 0.8863, Time consumed:1.00s
Training Epoch: 17 [256/47500]	Loss: 0.3712	LR: 0.000800
Training Epoch: 17 [512/47500]	Loss: 0.2694	LR: 0.000800
Training Epoch: 17 [768/47500]	Loss: 0.2524	LR: 0.000800
Training Epoch: 17 [1024/47500]	Loss: 0.2584	LR: 0.000800
Training Epoch: 17 [1280/47500]	Loss: 0.2742	LR: 0.000800
Training Epoch: 17 [1536/47500]	Loss: 0.2941	LR: 0.000800
Training Epoch: 17 [1792/47500]	Loss: 0.2695	LR: 0.000800
Training Epoch: 17 [2048/47500]	Loss: 0.2893	LR: 0.000800
Training Epoch: 17 [2304/47500]	Loss: 0.2337	LR: 0.000800
Training Epoch: 17 [2560/47500]	Loss: 0.2794	LR: 0.000800
Training Epoch: 17 [2816/47500]	Loss: 0.2074	LR: 0.000800
Training Epoch: 17 [3072/47500]	Loss: 0.3170	LR: 0.000800
Training Epoch: 17 [3328/47500]	Loss: 0.2142	LR: 0.000800
Training Epoch: 17 [3584/47500]	Loss: 0.2338	LR: 0.000800
Training Epoch: 17 [3840/47500]	Loss: 0.2446	LR: 0.000800
Training Epoch: 17 [4096/47500]	Loss: 0.3089	LR: 0.000800
Training Epoch: 17 [4352/47500]	Loss: 0.3198	LR: 0.000800
Training Epoch: 17 [4608/47500]	Loss: 0.3148	LR: 0.000800
Training Epoch: 17 [4864/47500]	Loss: 0.2599	LR: 0.000800
Training Epoch: 17 [5120/47500]	Loss: 0.2461	LR: 0.000800
Training Epoch: 17 [5376/47500]	Loss: 0.3284	LR: 0.000800
Training Epoch: 17 [5632/47500]	Loss: 0.3144	LR: 0.000800
Training Epoch: 17 [5888/47500]	Loss: 0.3033	LR: 0.000800
Training Epoch: 17 [6144/47500]	Loss: 0.2630	LR: 0.000800
Training Epoch: 17 [6400/47500]	Loss: 0.2347	LR: 0.000800
Training Epoch: 17 [6656/47500]	Loss: 0.2884	LR: 0.000800
Training Epoch: 17 [6912/47500]	Loss: 0.2309	LR: 0.000800
Training Epoch: 17 [7168/47500]	Loss: 0.2898	LR: 0.000800
Training Epoch: 17 [7424/47500]	Loss: 0.2235	LR: 0.000800
Training Epoch: 17 [7680/47500]	Loss: 0.1843	LR: 0.000800
Training Epoch: 17 [7936/47500]	Loss: 0.3174	LR: 0.000800
Training Epoch: 17 [8192/47500]	Loss: 0.3338	LR: 0.000800
Training Epoch: 17 [8448/47500]	Loss: 0.2343	LR: 0.000800
Training Epoch: 17 [8704/47500]	Loss: 0.2767	LR: 0.000800
Training Epoch: 17 [8960/47500]	Loss: 0.2831	LR: 0.000800
Training Epoch: 17 [9216/47500]	Loss: 0.2266	LR: 0.000800
Training Epoch: 17 [9472/47500]	Loss: 0.2298	LR: 0.000800
Training Epoch: 17 [9728/47500]	Loss: 0.2359	LR: 0.000800
Training Epoch: 17 [9984/47500]	Loss: 0.2859	LR: 0.000800
Training Epoch: 17 [10240/47500]	Loss: 0.2652	LR: 0.000800
Training Epoch: 17 [10496/47500]	Loss: 0.2541	LR: 0.000800
Training Epoch: 17 [10752/47500]	Loss: 0.3193	LR: 0.000800
Training Epoch: 17 [11008/47500]	Loss: 0.2653	LR: 0.000800
Training Epoch: 17 [11264/47500]	Loss: 0.2837	LR: 0.000800
Training Epoch: 17 [11520/47500]	Loss: 0.2673	LR: 0.000800
Training Epoch: 17 [11776/47500]	Loss: 0.2839	LR: 0.000800
Training Epoch: 17 [12032/47500]	Loss: 0.2424	LR: 0.000800
Training Epoch: 17 [12288/47500]	Loss: 0.2790	LR: 0.000800
Training Epoch: 17 [12544/47500]	Loss: 0.2990	LR: 0.000800
Training Epoch: 17 [12800/47500]	Loss: 0.2540	LR: 0.000800
Training Epoch: 17 [13056/47500]	Loss: 0.2451	LR: 0.000800
Training Epoch: 17 [13312/47500]	Loss: 0.2823	LR: 0.000800
Training Epoch: 17 [13568/47500]	Loss: 0.2396	LR: 0.000800
Training Epoch: 17 [13824/47500]	Loss: 0.2434	LR: 0.000800
Training Epoch: 17 [14080/47500]	Loss: 0.3748	LR: 0.000800
Training Epoch: 17 [14336/47500]	Loss: 0.2460	LR: 0.000800
Training Epoch: 17 [14592/47500]	Loss: 0.2207	LR: 0.000800
Training Epoch: 17 [14848/47500]	Loss: 0.2290	LR: 0.000800
Training Epoch: 17 [15104/47500]	Loss: 0.3110	LR: 0.000800
Training Epoch: 17 [15360/47500]	Loss: 0.2283	LR: 0.000800
Training Epoch: 17 [15616/47500]	Loss: 0.2646	LR: 0.000800
Training Epoch: 17 [15872/47500]	Loss: 0.2724	LR: 0.000800
Training Epoch: 17 [16128/47500]	Loss: 0.2465	LR: 0.000800
Training Epoch: 17 [16384/47500]	Loss: 0.2446	LR: 0.000800
Training Epoch: 17 [16640/47500]	Loss: 0.2918	LR: 0.000800
Training Epoch: 17 [16896/47500]	Loss: 0.2606	LR: 0.000800
Training Epoch: 17 [17152/47500]	Loss: 0.2689	LR: 0.000800
Training Epoch: 17 [17408/47500]	Loss: 0.2236	LR: 0.000800
Training Epoch: 17 [17664/47500]	Loss: 0.2576	LR: 0.000800
Training Epoch: 17 [17920/47500]	Loss: 0.3256	LR: 0.000800
Training Epoch: 17 [18176/47500]	Loss: 0.2670	LR: 0.000800
Training Epoch: 17 [18432/47500]	Loss: 0.2569	LR: 0.000800
Training Epoch: 17 [18688/47500]	Loss: 0.3370	LR: 0.000800
Training Epoch: 17 [18944/47500]	Loss: 0.2782	LR: 0.000800
Training Epoch: 17 [19200/47500]	Loss: 0.2441	LR: 0.000800
Training Epoch: 17 [19456/47500]	Loss: 0.2547	LR: 0.000800
Training Epoch: 17 [19712/47500]	Loss: 0.1993	LR: 0.000800
Training Epoch: 17 [19968/47500]	Loss: 0.2341	LR: 0.000800
Training Epoch: 17 [20224/47500]	Loss: 0.2882	LR: 0.000800
Training Epoch: 17 [20480/47500]	Loss: 0.3657	LR: 0.000800
Training Epoch: 17 [20736/47500]	Loss: 0.2765	LR: 0.000800
Training Epoch: 17 [20992/47500]	Loss: 0.2863	LR: 0.000800
Training Epoch: 17 [21248/47500]	Loss: 0.2152	LR: 0.000800
Training Epoch: 17 [21504/47500]	Loss: 0.3036	LR: 0.000800
Training Epoch: 17 [21760/47500]	Loss: 0.3004	LR: 0.000800
Training Epoch: 17 [22016/47500]	Loss: 0.2600	LR: 0.000800
Training Epoch: 17 [22272/47500]	Loss: 0.2998	LR: 0.000800
Training Epoch: 17 [22528/47500]	Loss: 0.3120	LR: 0.000800
Training Epoch: 17 [22784/47500]	Loss: 0.2518	LR: 0.000800
Training Epoch: 17 [23040/47500]	Loss: 0.2106	LR: 0.000800
Training Epoch: 17 [23296/47500]	Loss: 0.2728	LR: 0.000800
Training Epoch: 17 [23552/47500]	Loss: 0.2204	LR: 0.000800
Training Epoch: 17 [23808/47500]	Loss: 0.3112	LR: 0.000800
Training Epoch: 17 [24064/47500]	Loss: 0.2600	LR: 0.000800
Training Epoch: 17 [24320/47500]	Loss: 0.2287	LR: 0.000800
Training Epoch: 17 [24576/47500]	Loss: 0.2118	LR: 0.000800
Training Epoch: 17 [24832/47500]	Loss: 0.2513	LR: 0.000800
Training Epoch: 17 [25088/47500]	Loss: 0.3304	LR: 0.000800
Training Epoch: 17 [25344/47500]	Loss: 0.2855	LR: 0.000800
Training Epoch: 17 [25600/47500]	Loss: 0.2965	LR: 0.000800
Training Epoch: 17 [25856/47500]	Loss: 0.2737	LR: 0.000800
Training Epoch: 17 [26112/47500]	Loss: 0.2584	LR: 0.000800
Training Epoch: 17 [26368/47500]	Loss: 0.3409	LR: 0.000800
Training Epoch: 17 [26624/47500]	Loss: 0.3370	LR: 0.000800
Training Epoch: 17 [26880/47500]	Loss: 0.2729	LR: 0.000800
Training Epoch: 17 [27136/47500]	Loss: 0.3738	LR: 0.000800
Training Epoch: 17 [27392/47500]	Loss: 0.2939	LR: 0.000800
Training Epoch: 17 [27648/47500]	Loss: 0.3410	LR: 0.000800
Training Epoch: 17 [27904/47500]	Loss: 0.3064	LR: 0.000800
Training Epoch: 17 [28160/47500]	Loss: 0.2387	LR: 0.000800
Training Epoch: 17 [28416/47500]	Loss: 0.2734	LR: 0.000800
Training Epoch: 17 [28672/47500]	Loss: 0.3066	LR: 0.000800
Training Epoch: 17 [28928/47500]	Loss: 0.2244	LR: 0.000800
Training Epoch: 17 [29184/47500]	Loss: 0.2238	LR: 0.000800
Training Epoch: 17 [29440/47500]	Loss: 0.2255	LR: 0.000800
Training Epoch: 17 [29696/47500]	Loss: 0.3087	LR: 0.000800
Training Epoch: 17 [29952/47500]	Loss: 0.3254	LR: 0.000800
Training Epoch: 17 [30208/47500]	Loss: 0.3193	LR: 0.000800
Training Epoch: 17 [30464/47500]	Loss: 0.2292	LR: 0.000800
Training Epoch: 17 [30720/47500]	Loss: 0.2842	LR: 0.000800
Training Epoch: 17 [30976/47500]	Loss: 0.2471	LR: 0.000800
Training Epoch: 17 [31232/47500]	Loss: 0.3469	LR: 0.000800
Training Epoch: 17 [31488/47500]	Loss: 0.3563	LR: 0.000800
Training Epoch: 17 [31744/47500]	Loss: 0.3188	LR: 0.000800
Training Epoch: 17 [32000/47500]	Loss: 0.2954	LR: 0.000800
Training Epoch: 17 [32256/47500]	Loss: 0.2891	LR: 0.000800
Training Epoch: 17 [32512/47500]	Loss: 0.2708	LR: 0.000800
Training Epoch: 17 [32768/47500]	Loss: 0.3239	LR: 0.000800
Training Epoch: 17 [33024/47500]	Loss: 0.2896	LR: 0.000800
Training Epoch: 17 [33280/47500]	Loss: 0.2845	LR: 0.000800
Training Epoch: 17 [33536/47500]	Loss: 0.2366	LR: 0.000800
Training Epoch: 17 [33792/47500]	Loss: 0.2879	LR: 0.000800
Training Epoch: 17 [34048/47500]	Loss: 0.2678	LR: 0.000800
Training Epoch: 17 [34304/47500]	Loss: 0.3517	LR: 0.000800
Training Epoch: 17 [34560/47500]	Loss: 0.2724	LR: 0.000800
Training Epoch: 17 [34816/47500]	Loss: 0.2763	LR: 0.000800
Training Epoch: 17 [35072/47500]	Loss: 0.2670	LR: 0.000800
Training Epoch: 17 [35328/47500]	Loss: 0.3134	LR: 0.000800
Training Epoch: 17 [35584/47500]	Loss: 0.2562	LR: 0.000800
Training Epoch: 17 [35840/47500]	Loss: 0.3290	LR: 0.000800
Training Epoch: 17 [36096/47500]	Loss: 0.2759	LR: 0.000800
Training Epoch: 17 [36352/47500]	Loss: 0.2708	LR: 0.000800
Training Epoch: 17 [36608/47500]	Loss: 0.2383	LR: 0.000800
Training Epoch: 17 [36864/47500]	Loss: 0.3560	LR: 0.000800
Training Epoch: 17 [37120/47500]	Loss: 0.2115	LR: 0.000800
Training Epoch: 17 [37376/47500]	Loss: 0.3884	LR: 0.000800
Training Epoch: 17 [37632/47500]	Loss: 0.2341	LR: 0.000800
Training Epoch: 17 [37888/47500]	Loss: 0.2597	LR: 0.000800
Training Epoch: 17 [38144/47500]	Loss: 0.2373	LR: 0.000800
Training Epoch: 17 [38400/47500]	Loss: 0.2456	LR: 0.000800
Training Epoch: 17 [38656/47500]	Loss: 0.3380	LR: 0.000800
Training Epoch: 17 [38912/47500]	Loss: 0.2388	LR: 0.000800
Training Epoch: 17 [39168/47500]	Loss: 0.3214	LR: 0.000800
Training Epoch: 17 [39424/47500]	Loss: 0.3192	LR: 0.000800
Training Epoch: 17 [39680/47500]	Loss: 0.3002	LR: 0.000800
Training Epoch: 17 [39936/47500]	Loss: 0.3003	LR: 0.000800
Training Epoch: 17 [40192/47500]	Loss: 0.2396	LR: 0.000800
Training Epoch: 17 [40448/47500]	Loss: 0.2581	LR: 0.000800
Training Epoch: 17 [40704/47500]	Loss: 0.2603	LR: 0.000800
Training Epoch: 17 [40960/47500]	Loss: 0.2934	LR: 0.000800
Training Epoch: 17 [41216/47500]	Loss: 0.2626	LR: 0.000800
Training Epoch: 17 [41472/47500]	Loss: 0.2991	LR: 0.000800
Training Epoch: 17 [41728/47500]	Loss: 0.2866	LR: 0.000800
Training Epoch: 17 [41984/47500]	Loss: 0.2091	LR: 0.000800
Training Epoch: 17 [42240/47500]	Loss: 0.2561	LR: 0.000800
Training Epoch: 17 [42496/47500]	Loss: 0.3469	LR: 0.000800
Training Epoch: 17 [42752/47500]	Loss: 0.3301	LR: 0.000800
Training Epoch: 17 [43008/47500]	Loss: 0.3494	LR: 0.000800
Training Epoch: 17 [43264/47500]	Loss: 0.2701	LR: 0.000800
Training Epoch: 17 [43520/47500]	Loss: 0.2808	LR: 0.000800
Training Epoch: 17 [43776/47500]	Loss: 0.3145	LR: 0.000800
Training Epoch: 17 [44032/47500]	Loss: 0.2831	LR: 0.000800
Training Epoch: 17 [44288/47500]	Loss: 0.2487	LR: 0.000800
Training Epoch: 17 [44544/47500]	Loss: 0.2590	LR: 0.000800
Training Epoch: 17 [44800/47500]	Loss: 0.2504	LR: 0.000800
Training Epoch: 17 [45056/47500]	Loss: 0.2354	LR: 0.000800
Training Epoch: 17 [45312/47500]	Loss: 0.2362	LR: 0.000800
Training Epoch: 17 [45568/47500]	Loss: 0.2311	LR: 0.000800
Training Epoch: 17 [45824/47500]	Loss: 0.2876	LR: 0.000800
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Training Epoch: 17 [46336/47500]	Loss: 0.2983	LR: 0.000800
Training Epoch: 17 [46592/47500]	Loss: 0.3274	LR: 0.000800
Training Epoch: 17 [46848/47500]	Loss: 0.2664	LR: 0.000800
Training Epoch: 17 [47104/47500]	Loss: 0.3155	LR: 0.000800
Training Epoch: 17 [47360/47500]	Loss: 0.2276	LR: 0.000800
Training Epoch: 17 [47500/47500]	Loss: 0.2092	LR: 0.000800
Epoch 17 - Average Train Loss: 0.2760, Train Accuracy: 0.9034
Epoch 17 training time consumed: 29.10s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0013, Accuracy: 0.8892, Time consumed:1.02s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_16h_35m_06s/ResNet18-Cifar10-seed9-ret50-17-best.pth
Training Epoch: 18 [256/47500]	Loss: 0.2498	LR: 0.000800
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Training Epoch: 18 [768/47500]	Loss: 0.3766	LR: 0.000800
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Training Epoch: 18 [1536/47500]	Loss: 0.3135	LR: 0.000800
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Training Epoch: 18 [44288/47500]	Loss: 0.3194	LR: 0.000800
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Training Epoch: 18 [44800/47500]	Loss: 0.2361	LR: 0.000800
Training Epoch: 18 [45056/47500]	Loss: 0.2993	LR: 0.000800
Training Epoch: 18 [45312/47500]	Loss: 0.2266	LR: 0.000800
Training Epoch: 18 [45568/47500]	Loss: 0.2936	LR: 0.000800
Training Epoch: 18 [45824/47500]	Loss: 0.2775	LR: 0.000800
Training Epoch: 18 [46080/47500]	Loss: 0.3119	LR: 0.000800
Training Epoch: 18 [46336/47500]	Loss: 0.3252	LR: 0.000800
Training Epoch: 18 [46592/47500]	Loss: 0.2557	LR: 0.000800
Training Epoch: 18 [46848/47500]	Loss: 0.2011	LR: 0.000800
Training Epoch: 18 [47104/47500]	Loss: 0.2741	LR: 0.000800
Training Epoch: 18 [47360/47500]	Loss: 0.2927	LR: 0.000800
Training Epoch: 18 [47500/47500]	Loss: 0.4034	LR: 0.000800
Epoch 18 - Average Train Loss: 0.2763, Train Accuracy: 0.9038
Epoch 18 training time consumed: 29.15s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0013, Accuracy: 0.8883, Time consumed:0.97s
Training Epoch: 19 [256/47500]	Loss: 0.3000	LR: 0.000800
Training Epoch: 19 [512/47500]	Loss: 0.2367	LR: 0.000800
Training Epoch: 19 [768/47500]	Loss: 0.3178	LR: 0.000800
Training Epoch: 19 [1024/47500]	Loss: 0.2465	LR: 0.000800
Training Epoch: 19 [1280/47500]	Loss: 0.3289	LR: 0.000800
Training Epoch: 19 [1536/47500]	Loss: 0.2412	LR: 0.000800
Training Epoch: 19 [1792/47500]	Loss: 0.2495	LR: 0.000800
Training Epoch: 19 [2048/47500]	Loss: 0.2436	LR: 0.000800
Training Epoch: 19 [2304/47500]	Loss: 0.2626	LR: 0.000800
Training Epoch: 19 [2560/47500]	Loss: 0.2692	LR: 0.000800
Training Epoch: 19 [2816/47500]	Loss: 0.1959	LR: 0.000800
Training Epoch: 19 [3072/47500]	Loss: 0.1920	LR: 0.000800
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Training Epoch: 19 [3584/47500]	Loss: 0.2693	LR: 0.000800
Training Epoch: 19 [3840/47500]	Loss: 0.2182	LR: 0.000800
Training Epoch: 19 [4096/47500]	Loss: 0.2188	LR: 0.000800
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Training Epoch: 19 [4608/47500]	Loss: 0.2822	LR: 0.000800
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Training Epoch: 19 [5120/47500]	Loss: 0.2825	LR: 0.000800
Training Epoch: 19 [5376/47500]	Loss: 0.3203	LR: 0.000800
Training Epoch: 19 [5632/47500]	Loss: 0.3431	LR: 0.000800
Training Epoch: 19 [5888/47500]	Loss: 0.2668	LR: 0.000800
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Training Epoch: 19 [22528/47500]	Loss: 0.2569	LR: 0.000800
Training Epoch: 19 [22784/47500]	Loss: 0.2856	LR: 0.000800
Training Epoch: 19 [23040/47500]	Loss: 0.3024	LR: 0.000800
Training Epoch: 19 [23296/47500]	Loss: 0.2186	LR: 0.000800
Training Epoch: 19 [23552/47500]	Loss: 0.2216	LR: 0.000800
Training Epoch: 19 [23808/47500]	Loss: 0.3322	LR: 0.000800
Training Epoch: 19 [24064/47500]	Loss: 0.1728	LR: 0.000800
Training Epoch: 19 [24320/47500]	Loss: 0.2901	LR: 0.000800
Training Epoch: 19 [24576/47500]	Loss: 0.2738	LR: 0.000800
Training Epoch: 19 [24832/47500]	Loss: 0.3058	LR: 0.000800
Training Epoch: 19 [25088/47500]	Loss: 0.2608	LR: 0.000800
Training Epoch: 19 [25344/47500]	Loss: 0.3897	LR: 0.000800
Training Epoch: 19 [25600/47500]	Loss: 0.3041	LR: 0.000800
Training Epoch: 19 [25856/47500]	Loss: 0.3370	LR: 0.000800
Training Epoch: 19 [26112/47500]	Loss: 0.2720	LR: 0.000800
Training Epoch: 19 [26368/47500]	Loss: 0.2872	LR: 0.000800
Training Epoch: 19 [26624/47500]	Loss: 0.3096	LR: 0.000800
Training Epoch: 19 [26880/47500]	Loss: 0.2138	LR: 0.000800
Training Epoch: 19 [27136/47500]	Loss: 0.2958	LR: 0.000800
Training Epoch: 19 [27392/47500]	Loss: 0.2757	LR: 0.000800
Training Epoch: 19 [27648/47500]	Loss: 0.3816	LR: 0.000800
Training Epoch: 19 [27904/47500]	Loss: 0.2819	LR: 0.000800
Training Epoch: 19 [28160/47500]	Loss: 0.2077	LR: 0.000800
Training Epoch: 19 [28416/47500]	Loss: 0.2140	LR: 0.000800
Training Epoch: 19 [28672/47500]	Loss: 0.2075	LR: 0.000800
Training Epoch: 19 [28928/47500]	Loss: 0.2434	LR: 0.000800
Training Epoch: 19 [29184/47500]	Loss: 0.2901	LR: 0.000800
Training Epoch: 19 [29440/47500]	Loss: 0.3081	LR: 0.000800
Training Epoch: 19 [29696/47500]	Loss: 0.2767	LR: 0.000800
Training Epoch: 19 [29952/47500]	Loss: 0.2690	LR: 0.000800
Training Epoch: 19 [30208/47500]	Loss: 0.2506	LR: 0.000800
Training Epoch: 19 [30464/47500]	Loss: 0.2817	LR: 0.000800
Training Epoch: 19 [30720/47500]	Loss: 0.2723	LR: 0.000800
Training Epoch: 19 [30976/47500]	Loss: 0.3047	LR: 0.000800
Training Epoch: 19 [31232/47500]	Loss: 0.2277	LR: 0.000800
Training Epoch: 19 [31488/47500]	Loss: 0.2565	LR: 0.000800
Training Epoch: 19 [31744/47500]	Loss: 0.2470	LR: 0.000800
Training Epoch: 19 [32000/47500]	Loss: 0.2091	LR: 0.000800
Training Epoch: 19 [32256/47500]	Loss: 0.2551	LR: 0.000800
Training Epoch: 19 [32512/47500]	Loss: 0.2774	LR: 0.000800
Training Epoch: 19 [32768/47500]	Loss: 0.2139	LR: 0.000800
Training Epoch: 19 [33024/47500]	Loss: 0.2618	LR: 0.000800
Training Epoch: 19 [33280/47500]	Loss: 0.2919	LR: 0.000800
Training Epoch: 19 [33536/47500]	Loss: 0.2112	LR: 0.000800
Training Epoch: 19 [33792/47500]	Loss: 0.2830	LR: 0.000800
Training Epoch: 19 [34048/47500]	Loss: 0.2501	LR: 0.000800
Training Epoch: 19 [34304/47500]	Loss: 0.2153	LR: 0.000800
Training Epoch: 19 [34560/47500]	Loss: 0.3567	LR: 0.000800
Training Epoch: 19 [34816/47500]	Loss: 0.2621	LR: 0.000800
Training Epoch: 19 [35072/47500]	Loss: 0.2881	LR: 0.000800
Training Epoch: 19 [35328/47500]	Loss: 0.3259	LR: 0.000800
Training Epoch: 19 [35584/47500]	Loss: 0.3331	LR: 0.000800
Training Epoch: 19 [35840/47500]	Loss: 0.2754	LR: 0.000800
Training Epoch: 19 [36096/47500]	Loss: 0.3800	LR: 0.000800
Training Epoch: 19 [36352/47500]	Loss: 0.2967	LR: 0.000800
Training Epoch: 19 [36608/47500]	Loss: 0.2287	LR: 0.000800
Training Epoch: 19 [36864/47500]	Loss: 0.3170	LR: 0.000800
Training Epoch: 19 [37120/47500]	Loss: 0.2569	LR: 0.000800
Training Epoch: 19 [37376/47500]	Loss: 0.3342	LR: 0.000800
Training Epoch: 19 [37632/47500]	Loss: 0.2524	LR: 0.000800
Training Epoch: 19 [37888/47500]	Loss: 0.2448	LR: 0.000800
Training Epoch: 19 [38144/47500]	Loss: 0.3021	LR: 0.000800
Training Epoch: 19 [38400/47500]	Loss: 0.2991	LR: 0.000800
Training Epoch: 19 [38656/47500]	Loss: 0.3141	LR: 0.000800
Training Epoch: 19 [38912/47500]	Loss: 0.2075	LR: 0.000800
Training Epoch: 19 [39168/47500]	Loss: 0.2431	LR: 0.000800
Training Epoch: 19 [39424/47500]	Loss: 0.2888	LR: 0.000800
Training Epoch: 19 [39680/47500]	Loss: 0.2592	LR: 0.000800
Training Epoch: 19 [39936/47500]	Loss: 0.3244	LR: 0.000800
Training Epoch: 19 [40192/47500]	Loss: 0.2298	LR: 0.000800
Training Epoch: 19 [40448/47500]	Loss: 0.1856	LR: 0.000800
Training Epoch: 19 [40704/47500]	Loss: 0.3063	LR: 0.000800
Training Epoch: 19 [40960/47500]	Loss: 0.2314	LR: 0.000800
Training Epoch: 19 [41216/47500]	Loss: 0.2739	LR: 0.000800
Training Epoch: 19 [41472/47500]	Loss: 0.2780	LR: 0.000800
Training Epoch: 19 [41728/47500]	Loss: 0.2706	LR: 0.000800
Training Epoch: 19 [41984/47500]	Loss: 0.3345	LR: 0.000800
Training Epoch: 19 [42240/47500]	Loss: 0.2469	LR: 0.000800
Training Epoch: 19 [42496/47500]	Loss: 0.2390	LR: 0.000800
Training Epoch: 19 [42752/47500]	Loss: 0.2827	LR: 0.000800
Training Epoch: 19 [43008/47500]	Loss: 0.3065	LR: 0.000800
Training Epoch: 19 [43264/47500]	Loss: 0.2701	LR: 0.000800
Training Epoch: 19 [43520/47500]	Loss: 0.2570	LR: 0.000800
Training Epoch: 19 [43776/47500]	Loss: 0.3111	LR: 0.000800
Training Epoch: 19 [44032/47500]	Loss: 0.3581	LR: 0.000800
Training Epoch: 19 [44288/47500]	Loss: 0.2701	LR: 0.000800
Training Epoch: 19 [44544/47500]	Loss: 0.2887	LR: 0.000800
Training Epoch: 19 [44800/47500]	Loss: 0.2264	LR: 0.000800
Training Epoch: 19 [45056/47500]	Loss: 0.2725	LR: 0.000800
Training Epoch: 19 [45312/47500]	Loss: 0.1729	LR: 0.000800
Training Epoch: 19 [45568/47500]	Loss: 0.2653	LR: 0.000800
Training Epoch: 19 [45824/47500]	Loss: 0.2850	LR: 0.000800
Training Epoch: 19 [46080/47500]	Loss: 0.2685	LR: 0.000800
Training Epoch: 19 [46336/47500]	Loss: 0.2813	LR: 0.000800
Training Epoch: 19 [46592/47500]	Loss: 0.2713	LR: 0.000800
Training Epoch: 19 [46848/47500]	Loss: 0.3112	LR: 0.000800
Training Epoch: 19 [47104/47500]	Loss: 0.2949	LR: 0.000800
Training Epoch: 19 [47360/47500]	Loss: 0.3144	LR: 0.000800
Training Epoch: 19 [47500/47500]	Loss: 0.2948	LR: 0.000800
Epoch 19 - Average Train Loss: 0.2747, Train Accuracy: 0.9049
Epoch 19 training time consumed: 29.18s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0013, Accuracy: 0.8892, Time consumed:1.00s
Training Epoch: 20 [256/47500]	Loss: 0.2355	LR: 0.000800
Training Epoch: 20 [512/47500]	Loss: 0.2630	LR: 0.000800
Training Epoch: 20 [768/47500]	Loss: 0.2607	LR: 0.000800
Training Epoch: 20 [1024/47500]	Loss: 0.2977	LR: 0.000800
Training Epoch: 20 [1280/47500]	Loss: 0.2012	LR: 0.000800
Training Epoch: 20 [1536/47500]	Loss: 0.2562	LR: 0.000800
Training Epoch: 20 [1792/47500]	Loss: 0.1999	LR: 0.000800
Training Epoch: 20 [2048/47500]	Loss: 0.2502	LR: 0.000800
Training Epoch: 20 [2304/47500]	Loss: 0.1734	LR: 0.000800
Training Epoch: 20 [2560/47500]	Loss: 0.2398	LR: 0.000800
Training Epoch: 20 [2816/47500]	Loss: 0.2549	LR: 0.000800
Training Epoch: 20 [3072/47500]	Loss: 0.2733	LR: 0.000800
Training Epoch: 20 [3328/47500]	Loss: 0.3369	LR: 0.000800
Training Epoch: 20 [3584/47500]	Loss: 0.2655	LR: 0.000800
Training Epoch: 20 [3840/47500]	Loss: 0.2895	LR: 0.000800
Training Epoch: 20 [4096/47500]	Loss: 0.1901	LR: 0.000800
Training Epoch: 20 [4352/47500]	Loss: 0.2648	LR: 0.000800
Training Epoch: 20 [4608/47500]	Loss: 0.2389	LR: 0.000800
Training Epoch: 20 [4864/47500]	Loss: 0.2475	LR: 0.000800
Training Epoch: 20 [5120/47500]	Loss: 0.3137	LR: 0.000800
Training Epoch: 20 [5376/47500]	Loss: 0.2039	LR: 0.000800
Training Epoch: 20 [5632/47500]	Loss: 0.2959	LR: 0.000800
Training Epoch: 20 [5888/47500]	Loss: 0.3659	LR: 0.000800
Training Epoch: 20 [6144/47500]	Loss: 0.2283	LR: 0.000800
Training Epoch: 20 [6400/47500]	Loss: 0.2585	LR: 0.000800
Training Epoch: 20 [6656/47500]	Loss: 0.2733	LR: 0.000800
Training Epoch: 20 [6912/47500]	Loss: 0.2347	LR: 0.000800
Training Epoch: 20 [7168/47500]	Loss: 0.2453	LR: 0.000800
Training Epoch: 20 [7424/47500]	Loss: 0.3001	LR: 0.000800
Training Epoch: 20 [7680/47500]	Loss: 0.2994	LR: 0.000800
Training Epoch: 20 [7936/47500]	Loss: 0.2193	LR: 0.000800
Training Epoch: 20 [8192/47500]	Loss: 0.3112	LR: 0.000800
Training Epoch: 20 [8448/47500]	Loss: 0.3729	LR: 0.000800
Training Epoch: 20 [8704/47500]	Loss: 0.3094	LR: 0.000800
Training Epoch: 20 [8960/47500]	Loss: 0.2365	LR: 0.000800
Training Epoch: 20 [9216/47500]	Loss: 0.2862	LR: 0.000800
Training Epoch: 20 [9472/47500]	Loss: 0.2261	LR: 0.000800
Training Epoch: 20 [9728/47500]	Loss: 0.2282	LR: 0.000800
Training Epoch: 20 [9984/47500]	Loss: 0.3955	LR: 0.000800
Training Epoch: 20 [10240/47500]	Loss: 0.2883	LR: 0.000800
Training Epoch: 20 [10496/47500]	Loss: 0.2372	LR: 0.000800
Training Epoch: 20 [10752/47500]	Loss: 0.2411	LR: 0.000800
Training Epoch: 20 [11008/47500]	Loss: 0.2779	LR: 0.000800
Training Epoch: 20 [11264/47500]	Loss: 0.2228	LR: 0.000800
Training Epoch: 20 [11520/47500]	Loss: 0.2297	LR: 0.000800
Training Epoch: 20 [11776/47500]	Loss: 0.2749	LR: 0.000800
Training Epoch: 20 [12032/47500]	Loss: 0.1882	LR: 0.000800
Training Epoch: 20 [12288/47500]	Loss: 0.2440	LR: 0.000800
Training Epoch: 20 [12544/47500]	Loss: 0.3896	LR: 0.000800
Training Epoch: 20 [12800/47500]	Loss: 0.2305	LR: 0.000800
Training Epoch: 20 [13056/47500]	Loss: 0.2125	LR: 0.000800
Training Epoch: 20 [13312/47500]	Loss: 0.2657	LR: 0.000800
Training Epoch: 20 [13568/47500]	Loss: 0.1543	LR: 0.000800
Training Epoch: 20 [13824/47500]	Loss: 0.2202	LR: 0.000800
Training Epoch: 20 [14080/47500]	Loss: 0.2392	LR: 0.000800
Training Epoch: 20 [14336/47500]	Loss: 0.2694	LR: 0.000800
Training Epoch: 20 [14592/47500]	Loss: 0.2560	LR: 0.000800
Training Epoch: 20 [14848/47500]	Loss: 0.2319	LR: 0.000800
Training Epoch: 20 [15104/47500]	Loss: 0.3617	LR: 0.000800
Training Epoch: 20 [15360/47500]	Loss: 0.3232	LR: 0.000800
Training Epoch: 20 [15616/47500]	Loss: 0.3514	LR: 0.000800
Training Epoch: 20 [15872/47500]	Loss: 0.3451	LR: 0.000800
Training Epoch: 20 [16128/47500]	Loss: 0.3375	LR: 0.000800
Training Epoch: 20 [16384/47500]	Loss: 0.2489	LR: 0.000800
Training Epoch: 20 [16640/47500]	Loss: 0.2760	LR: 0.000800
Training Epoch: 20 [16896/47500]	Loss: 0.2754	LR: 0.000800
Training Epoch: 20 [17152/47500]	Loss: 0.3548	LR: 0.000800
Training Epoch: 20 [17408/47500]	Loss: 0.3147	LR: 0.000800
Training Epoch: 20 [17664/47500]	Loss: 0.2979	LR: 0.000800
Training Epoch: 20 [17920/47500]	Loss: 0.2486	LR: 0.000800
Training Epoch: 20 [18176/47500]	Loss: 0.3460	LR: 0.000800
Training Epoch: 20 [18432/47500]	Loss: 0.3747	LR: 0.000800
Training Epoch: 20 [18688/47500]	Loss: 0.2600	LR: 0.000800
Training Epoch: 20 [18944/47500]	Loss: 0.3211	LR: 0.000800
Training Epoch: 20 [19200/47500]	Loss: 0.2613	LR: 0.000800
Training Epoch: 20 [19456/47500]	Loss: 0.2541	LR: 0.000800
Training Epoch: 20 [19712/47500]	Loss: 0.4086	LR: 0.000800
Training Epoch: 20 [19968/47500]	Loss: 0.2526	LR: 0.000800
Training Epoch: 20 [20224/47500]	Loss: 0.2548	LR: 0.000800
Training Epoch: 20 [20480/47500]	Loss: 0.2633	LR: 0.000800
Training Epoch: 20 [20736/47500]	Loss: 0.3365	LR: 0.000800
Training Epoch: 20 [20992/47500]	Loss: 0.1615	LR: 0.000800
Training Epoch: 20 [21248/47500]	Loss: 0.2210	LR: 0.000800
Training Epoch: 20 [21504/47500]	Loss: 0.2563	LR: 0.000800
Training Epoch: 20 [21760/47500]	Loss: 0.2275	LR: 0.000800
Training Epoch: 20 [22016/47500]	Loss: 0.2260	LR: 0.000800
Training Epoch: 20 [22272/47500]	Loss: 0.2143	LR: 0.000800
Training Epoch: 20 [22528/47500]	Loss: 0.2599	LR: 0.000800
Training Epoch: 20 [22784/47500]	Loss: 0.3022	LR: 0.000800
Training Epoch: 20 [23040/47500]	Loss: 0.2315	LR: 0.000800
Training Epoch: 20 [23296/47500]	Loss: 0.2583	LR: 0.000800
Training Epoch: 20 [23552/47500]	Loss: 0.3170	LR: 0.000800
Training Epoch: 20 [23808/47500]	Loss: 0.2482	LR: 0.000800
Training Epoch: 20 [24064/47500]	Loss: 0.2616	LR: 0.000800
Training Epoch: 20 [24320/47500]	Loss: 0.3052	LR: 0.000800
Training Epoch: 20 [24576/47500]	Loss: 0.2525	LR: 0.000800
Training Epoch: 20 [24832/47500]	Loss: 0.2190	LR: 0.000800
Training Epoch: 20 [25088/47500]	Loss: 0.2668	LR: 0.000800
Training Epoch: 20 [25344/47500]	Loss: 0.3210	LR: 0.000800
Training Epoch: 20 [25600/47500]	Loss: 0.2471	LR: 0.000800
Training Epoch: 20 [25856/47500]	Loss: 0.3469	LR: 0.000800
Training Epoch: 20 [26112/47500]	Loss: 0.2829	LR: 0.000800
Training Epoch: 20 [26368/47500]	Loss: 0.1949	LR: 0.000800
Training Epoch: 20 [26624/47500]	Loss: 0.3595	LR: 0.000800
Training Epoch: 20 [26880/47500]	Loss: 0.3116	LR: 0.000800
Training Epoch: 20 [27136/47500]	Loss: 0.2742	LR: 0.000800
Training Epoch: 20 [27392/47500]	Loss: 0.3005	LR: 0.000800
Training Epoch: 20 [27648/47500]	Loss: 0.2647	LR: 0.000800
Training Epoch: 20 [27904/47500]	Loss: 0.2951	LR: 0.000800
Training Epoch: 20 [28160/47500]	Loss: 0.2911	LR: 0.000800
Training Epoch: 20 [28416/47500]	Loss: 0.2770	LR: 0.000800
Training Epoch: 20 [28672/47500]	Loss: 0.2294	LR: 0.000800
Training Epoch: 20 [28928/47500]	Loss: 0.3571	LR: 0.000800
Training Epoch: 20 [29184/47500]	Loss: 0.2163	LR: 0.000800
Training Epoch: 20 [29440/47500]	Loss: 0.2450	LR: 0.000800
Training Epoch: 20 [29696/47500]	Loss: 0.2485	LR: 0.000800
Training Epoch: 20 [29952/47500]	Loss: 0.3118	LR: 0.000800
Training Epoch: 20 [30208/47500]	Loss: 0.2484	LR: 0.000800
Training Epoch: 20 [30464/47500]	Loss: 0.2604	LR: 0.000800
Training Epoch: 20 [30720/47500]	Loss: 0.3334	LR: 0.000800
Training Epoch: 20 [30976/47500]	Loss: 0.2422	LR: 0.000800
Training Epoch: 20 [31232/47500]	Loss: 0.2499	LR: 0.000800
Training Epoch: 20 [31488/47500]	Loss: 0.3374	LR: 0.000800
Training Epoch: 20 [31744/47500]	Loss: 0.3157	LR: 0.000800
Training Epoch: 20 [32000/47500]	Loss: 0.2429	LR: 0.000800
Training Epoch: 20 [32256/47500]	Loss: 0.2502	LR: 0.000800
Training Epoch: 20 [32512/47500]	Loss: 0.2961	LR: 0.000800
Training Epoch: 20 [32768/47500]	Loss: 0.2586	LR: 0.000800
Training Epoch: 20 [33024/47500]	Loss: 0.2380	LR: 0.000800
Training Epoch: 20 [33280/47500]	Loss: 0.3455	LR: 0.000800
Training Epoch: 20 [33536/47500]	Loss: 0.2695	LR: 0.000800
Training Epoch: 20 [33792/47500]	Loss: 0.3181	LR: 0.000800
Training Epoch: 20 [34048/47500]	Loss: 0.3079	LR: 0.000800
Training Epoch: 20 [34304/47500]	Loss: 0.2500	LR: 0.000800
Training Epoch: 20 [34560/47500]	Loss: 0.2353	LR: 0.000800
Training Epoch: 20 [34816/47500]	Loss: 0.3452	LR: 0.000800
Training Epoch: 20 [35072/47500]	Loss: 0.2067	LR: 0.000800
Training Epoch: 20 [35328/47500]	Loss: 0.3044	LR: 0.000800
Training Epoch: 20 [35584/47500]	Loss: 0.2681	LR: 0.000800
Training Epoch: 20 [35840/47500]	Loss: 0.2667	LR: 0.000800
Training Epoch: 20 [36096/47500]	Loss: 0.3140	LR: 0.000800
Training Epoch: 20 [36352/47500]	Loss: 0.2848	LR: 0.000800
Training Epoch: 20 [36608/47500]	Loss: 0.2767	LR: 0.000800
Training Epoch: 20 [36864/47500]	Loss: 0.2162	LR: 0.000800
Training Epoch: 20 [37120/47500]	Loss: 0.2314	LR: 0.000800
Training Epoch: 20 [37376/47500]	Loss: 0.3018	LR: 0.000800
Training Epoch: 20 [37632/47500]	Loss: 0.2801	LR: 0.000800
Training Epoch: 20 [37888/47500]	Loss: 0.2486	LR: 0.000800
Training Epoch: 20 [38144/47500]	Loss: 0.2309	LR: 0.000800
Training Epoch: 20 [38400/47500]	Loss: 0.1928	LR: 0.000800
Training Epoch: 20 [38656/47500]	Loss: 0.2557	LR: 0.000800
Training Epoch: 20 [38912/47500]	Loss: 0.2487	LR: 0.000800
Training Epoch: 20 [39168/47500]	Loss: 0.2732	LR: 0.000800
Training Epoch: 20 [39424/47500]	Loss: 0.2894	LR: 0.000800
Training Epoch: 20 [39680/47500]	Loss: 0.3418	LR: 0.000800
Training Epoch: 20 [39936/47500]	Loss: 0.2370	LR: 0.000800
Training Epoch: 20 [40192/47500]	Loss: 0.2203	LR: 0.000800
Training Epoch: 20 [40448/47500]	Loss: 0.2398	LR: 0.000800
Training Epoch: 20 [40704/47500]	Loss: 0.2416	LR: 0.000800
Training Epoch: 20 [40960/47500]	Loss: 0.2461	LR: 0.000800
Training Epoch: 20 [41216/47500]	Loss: 0.3417	LR: 0.000800
Training Epoch: 20 [41472/47500]	Loss: 0.2936	LR: 0.000800
Training Epoch: 20 [41728/47500]	Loss: 0.2929	LR: 0.000800
Training Epoch: 20 [41984/47500]	Loss: 0.2367	LR: 0.000800
Training Epoch: 20 [42240/47500]	Loss: 0.1853	LR: 0.000800
Training Epoch: 20 [42496/47500]	Loss: 0.3026	LR: 0.000800
Training Epoch: 20 [42752/47500]	Loss: 0.2367	LR: 0.000800
Training Epoch: 20 [43008/47500]	Loss: 0.2898	LR: 0.000800
Training Epoch: 20 [43264/47500]	Loss: 0.2621	LR: 0.000800
Training Epoch: 20 [43520/47500]	Loss: 0.2850	LR: 0.000800
Training Epoch: 20 [43776/47500]	Loss: 0.2771	LR: 0.000800
Training Epoch: 20 [44032/47500]	Loss: 0.3092	LR: 0.000800
Training Epoch: 20 [44288/47500]	Loss: 0.2818	LR: 0.000800
Training Epoch: 20 [44544/47500]	Loss: 0.3051	LR: 0.000800
Training Epoch: 20 [44800/47500]	Loss: 0.2109	LR: 0.000800
Training Epoch: 20 [45056/47500]	Loss: 0.2239	LR: 0.000800
Training Epoch: 20 [45312/47500]	Loss: 0.2557	LR: 0.000800
Training Epoch: 20 [45568/47500]	Loss: 0.3388	LR: 0.000800
Training Epoch: 20 [45824/47500]	Loss: 0.2837	LR: 0.000800
Training Epoch: 20 [46080/47500]	Loss: 0.3145	LR: 0.000800
Training Epoch: 20 [46336/47500]	Loss: 0.2599	LR: 0.000800
Training Epoch: 20 [46592/47500]	Loss: 0.3637	LR: 0.000800
Training Epoch: 20 [46848/47500]	Loss: 0.3637	LR: 0.000800
Training Epoch: 20 [47104/47500]	Loss: 0.2599	LR: 0.000800
Training Epoch: 20 [47360/47500]	Loss: 0.2208	LR: 0.000800
Training Epoch: 20 [47500/47500]	Loss: 0.2636	LR: 0.000800
Epoch 20 - Average Train Loss: 0.2716, Train Accuracy: 0.9058
Epoch 20 training time consumed: 29.15s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0013, Accuracy: 0.8880, Time consumed:0.98s
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: 0.7370
Set1 Distribution: 2500 samples
Set2 Distribution: 2500 samples
MIA Attack Accuracy with XGBoost: 0.5050
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
MIA Attack Accuracy with XGBoost: 0.6725
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
MIA Attack Accuracy with XGBoost: 0.5105
Test Accuracy: 91.552734375
Retain Accuracy: 94.02421569824219
Zero-Retain Forget (ZRF): 0.8245627880096436
Membership Inference Attack (MIA): 0.676
Forget vs Retain Membership Inference Attack (MIA): 0.737
Forget vs Test Membership Inference Attack (MIA): 0.505
Test vs Retain Membership Inference Attack (MIA): 0.6725
Train vs Test Membership Inference Attack (MIA): 0.5105
Forget Set Accuracy (Df): 93.52200317382812
Method Execution Time: 2515.76 seconds
