
Retain class distribution for seed 10:
Class 0: 4500
Class 1: 4500
Class 2: 4500
Class 3: 4500
Class 4: 4500
Class 5: 4500
Class 6: 4500
Class 7: 4500
Class 8: 4500
Class 9: 4500

Forget class distribution for seed 10:
Class 0: 500
Class 1: 500
Class 2: 500
Class 3: 500
Class 4: 500
Class 5: 500
Class 6: 500
Class 7: 500
Class 8: 500
Class 9: 500

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: 2.4164	LR: 0.000000
Training Epoch: 1 [512/47500]	Loss: 2.3780	LR: 0.000538
Training Epoch: 1 [768/47500]	Loss: 2.3925	LR: 0.001075
Training Epoch: 1 [1024/47500]	Loss: 2.3855	LR: 0.001613
Training Epoch: 1 [1280/47500]	Loss: 2.3245	LR: 0.002151
Training Epoch: 1 [1536/47500]	Loss: 2.2665	LR: 0.002688
Training Epoch: 1 [1792/47500]	Loss: 2.2492	LR: 0.003226
Training Epoch: 1 [2048/47500]	Loss: 2.2573	LR: 0.003763
Training Epoch: 1 [2304/47500]	Loss: 2.2662	LR: 0.004301
Training Epoch: 1 [2560/47500]	Loss: 2.3044	LR: 0.004839
Training Epoch: 1 [2816/47500]	Loss: 2.3138	LR: 0.005376
Training Epoch: 1 [3072/47500]	Loss: 2.2036	LR: 0.005914
Training Epoch: 1 [3328/47500]	Loss: 2.1177	LR: 0.006452
Training Epoch: 1 [3584/47500]	Loss: 2.0717	LR: 0.006989
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Training Epoch: 1 [5120/47500]	Loss: 1.9872	LR: 0.010215
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Training Epoch: 1 [9216/47500]	Loss: 1.6306	LR: 0.018817
Training Epoch: 1 [9472/47500]	Loss: 1.8033	LR: 0.019355
Training Epoch: 1 [9728/47500]	Loss: 1.9011	LR: 0.019892
Training Epoch: 1 [9984/47500]	Loss: 1.7792	LR: 0.020430
Training Epoch: 1 [10240/47500]	Loss: 1.8331	LR: 0.020968
Training Epoch: 1 [10496/47500]	Loss: 1.8170	LR: 0.021505
Training Epoch: 1 [10752/47500]	Loss: 1.7906	LR: 0.022043
Training Epoch: 1 [11008/47500]	Loss: 1.8447	LR: 0.022581
Training Epoch: 1 [11264/47500]	Loss: 1.8566	LR: 0.023118
Training Epoch: 1 [11520/47500]	Loss: 1.7769	LR: 0.023656
Training Epoch: 1 [11776/47500]	Loss: 1.8045	LR: 0.024194
Training Epoch: 1 [12032/47500]	Loss: 1.9891	LR: 0.024731
Training Epoch: 1 [12288/47500]	Loss: 1.8804	LR: 0.025269
Training Epoch: 1 [12544/47500]	Loss: 1.8340	LR: 0.025806
Training Epoch: 1 [12800/47500]	Loss: 1.9080	LR: 0.026344
Training Epoch: 1 [13056/47500]	Loss: 1.8301	LR: 0.026882
Training Epoch: 1 [13312/47500]	Loss: 1.7459	LR: 0.027419
Training Epoch: 1 [13568/47500]	Loss: 1.8191	LR: 0.027957
Training Epoch: 1 [13824/47500]	Loss: 1.7238	LR: 0.028495
Training Epoch: 1 [14080/47500]	Loss: 1.6235	LR: 0.029032
Training Epoch: 1 [14336/47500]	Loss: 1.8439	LR: 0.029570
Training Epoch: 1 [14592/47500]	Loss: 2.0174	LR: 0.030108
Training Epoch: 1 [14848/47500]	Loss: 1.6519	LR: 0.030645
Training Epoch: 1 [15104/47500]	Loss: 1.9355	LR: 0.031183
Training Epoch: 1 [15360/47500]	Loss: 1.7670	LR: 0.031720
Training Epoch: 1 [15616/47500]	Loss: 1.6604	LR: 0.032258
Training Epoch: 1 [15872/47500]	Loss: 1.6901	LR: 0.032796
Training Epoch: 1 [16128/47500]	Loss: 1.7289	LR: 0.033333
Training Epoch: 1 [16384/47500]	Loss: 1.6014	LR: 0.033871
Training Epoch: 1 [16640/47500]	Loss: 1.6110	LR: 0.034409
Training Epoch: 1 [16896/47500]	Loss: 1.9445	LR: 0.034946
Training Epoch: 1 [17152/47500]	Loss: 1.6628	LR: 0.035484
Training Epoch: 1 [17408/47500]	Loss: 1.6290	LR: 0.036022
Training Epoch: 1 [17664/47500]	Loss: 1.8883	LR: 0.036559
Training Epoch: 1 [17920/47500]	Loss: 1.7659	LR: 0.037097
Training Epoch: 1 [18176/47500]	Loss: 1.7559	LR: 0.037634
Training Epoch: 1 [18432/47500]	Loss: 1.6855	LR: 0.038172
Training Epoch: 1 [18688/47500]	Loss: 1.8079	LR: 0.038710
Training Epoch: 1 [18944/47500]	Loss: 1.5178	LR: 0.039247
Training Epoch: 1 [19200/47500]	Loss: 1.6928	LR: 0.039785
Training Epoch: 1 [19456/47500]	Loss: 1.6938	LR: 0.040323
Training Epoch: 1 [19712/47500]	Loss: 1.7600	LR: 0.040860
Training Epoch: 1 [19968/47500]	Loss: 1.6597	LR: 0.041398
Training Epoch: 1 [20224/47500]	Loss: 1.6307	LR: 0.041935
Training Epoch: 1 [20480/47500]	Loss: 1.9287	LR: 0.042473
Training Epoch: 1 [20736/47500]	Loss: 1.5990	LR: 0.043011
Training Epoch: 1 [20992/47500]	Loss: 1.6183	LR: 0.043548
Training Epoch: 1 [21248/47500]	Loss: 1.6411	LR: 0.044086
Training Epoch: 1 [21504/47500]	Loss: 1.6517	LR: 0.044624
Training Epoch: 1 [21760/47500]	Loss: 1.5099	LR: 0.045161
Training Epoch: 1 [22016/47500]	Loss: 1.8001	LR: 0.045699
Training Epoch: 1 [22272/47500]	Loss: 1.7202	LR: 0.046237
Training Epoch: 1 [22528/47500]	Loss: 1.5086	LR: 0.046774
Training Epoch: 1 [22784/47500]	Loss: 1.5245	LR: 0.047312
Training Epoch: 1 [23040/47500]	Loss: 1.6229	LR: 0.047849
Training Epoch: 1 [23296/47500]	Loss: 1.5001	LR: 0.048387
Training Epoch: 1 [23552/47500]	Loss: 1.5260	LR: 0.048925
Training Epoch: 1 [23808/47500]	Loss: 1.6164	LR: 0.049462
Training Epoch: 1 [24064/47500]	Loss: 1.6387	LR: 0.050000
Training Epoch: 1 [24320/47500]	Loss: 1.6464	LR: 0.050538
Training Epoch: 1 [24576/47500]	Loss: 1.7377	LR: 0.051075
Training Epoch: 1 [24832/47500]	Loss: 1.6777	LR: 0.051613
Training Epoch: 1 [25088/47500]	Loss: 1.7194	LR: 0.052151
Training Epoch: 1 [25344/47500]	Loss: 1.5883	LR: 0.052688
Training Epoch: 1 [25600/47500]	Loss: 1.7019	LR: 0.053226
Training Epoch: 1 [25856/47500]	Loss: 1.6667	LR: 0.053763
Training Epoch: 1 [26112/47500]	Loss: 1.6683	LR: 0.054301
Training Epoch: 1 [26368/47500]	Loss: 1.5845	LR: 0.054839
Training Epoch: 1 [26624/47500]	Loss: 1.5212	LR: 0.055376
Training Epoch: 1 [26880/47500]	Loss: 1.5875	LR: 0.055914
Training Epoch: 1 [27136/47500]	Loss: 1.6431	LR: 0.056452
Training Epoch: 1 [27392/47500]	Loss: 1.5879	LR: 0.056989
Training Epoch: 1 [27648/47500]	Loss: 1.4929	LR: 0.057527
Training Epoch: 1 [27904/47500]	Loss: 1.6360	LR: 0.058065
Training Epoch: 1 [28160/47500]	Loss: 1.6017	LR: 0.058602
Training Epoch: 1 [28416/47500]	Loss: 1.6922	LR: 0.059140
Training Epoch: 1 [28672/47500]	Loss: 1.4741	LR: 0.059677
Training Epoch: 1 [28928/47500]	Loss: 1.6367	LR: 0.060215
Training Epoch: 1 [29184/47500]	Loss: 1.6232	LR: 0.060753
Training Epoch: 1 [29440/47500]	Loss: 1.7335	LR: 0.061290
Training Epoch: 1 [29696/47500]	Loss: 1.5318	LR: 0.061828
Training Epoch: 1 [29952/47500]	Loss: 1.7061	LR: 0.062366
Training Epoch: 1 [30208/47500]	Loss: 1.5298	LR: 0.062903
Training Epoch: 1 [30464/47500]	Loss: 1.5874	LR: 0.063441
Training Epoch: 1 [30720/47500]	Loss: 1.6857	LR: 0.063978
Training Epoch: 1 [30976/47500]	Loss: 1.6909	LR: 0.064516
Training Epoch: 1 [31232/47500]	Loss: 1.5145	LR: 0.065054
Training Epoch: 1 [31488/47500]	Loss: 1.5446	LR: 0.065591
Training Epoch: 1 [31744/47500]	Loss: 1.5270	LR: 0.066129
Training Epoch: 1 [32000/47500]	Loss: 1.5624	LR: 0.066667
Training Epoch: 1 [32256/47500]	Loss: 1.4525	LR: 0.067204
Training Epoch: 1 [32512/47500]	Loss: 1.5907	LR: 0.067742
Training Epoch: 1 [32768/47500]	Loss: 1.6461	LR: 0.068280
Training Epoch: 1 [33024/47500]	Loss: 1.5664	LR: 0.068817
Training Epoch: 1 [33280/47500]	Loss: 1.4439	LR: 0.069355
Training Epoch: 1 [33536/47500]	Loss: 1.7241	LR: 0.069892
Training Epoch: 1 [33792/47500]	Loss: 1.5927	LR: 0.070430
Training Epoch: 1 [34048/47500]	Loss: 1.7902	LR: 0.070968
Training Epoch: 1 [34304/47500]	Loss: 1.9490	LR: 0.071505
Training Epoch: 1 [34560/47500]	Loss: 1.4772	LR: 0.072043
Training Epoch: 1 [34816/47500]	Loss: 1.4890	LR: 0.072581
Training Epoch: 1 [35072/47500]	Loss: 1.5103	LR: 0.073118
Training Epoch: 1 [35328/47500]	Loss: 1.5673	LR: 0.073656
Training Epoch: 1 [35584/47500]	Loss: 1.5677	LR: 0.074194
Training Epoch: 1 [35840/47500]	Loss: 1.6323	LR: 0.074731
Training Epoch: 1 [36096/47500]	Loss: 1.4097	LR: 0.075269
Training Epoch: 1 [36352/47500]	Loss: 1.5143	LR: 0.075806
Training Epoch: 1 [36608/47500]	Loss: 1.5501	LR: 0.076344
Training Epoch: 1 [36864/47500]	Loss: 1.5479	LR: 0.076882
Training Epoch: 1 [37120/47500]	Loss: 1.5123	LR: 0.077419
Training Epoch: 1 [37376/47500]	Loss: 1.7404	LR: 0.077957
Training Epoch: 1 [37632/47500]	Loss: 1.5827	LR: 0.078495
Training Epoch: 1 [37888/47500]	Loss: 1.4136	LR: 0.079032
Training Epoch: 1 [38144/47500]	Loss: 1.4193	LR: 0.079570
Training Epoch: 1 [38400/47500]	Loss: 1.6940	LR: 0.080108
Training Epoch: 1 [38656/47500]	Loss: 1.5264	LR: 0.080645
Training Epoch: 1 [38912/47500]	Loss: 1.5246	LR: 0.081183
Training Epoch: 1 [39168/47500]	Loss: 1.3544	LR: 0.081720
Training Epoch: 1 [39424/47500]	Loss: 1.4499	LR: 0.082258
Training Epoch: 1 [39680/47500]	Loss: 1.5153	LR: 0.082796
Training Epoch: 1 [39936/47500]	Loss: 1.3630	LR: 0.083333
Training Epoch: 1 [40192/47500]	Loss: 1.6148	LR: 0.083871
Training Epoch: 1 [40448/47500]	Loss: 1.6819	LR: 0.084409
Training Epoch: 1 [40704/47500]	Loss: 1.4479	LR: 0.084946
Training Epoch: 1 [40960/47500]	Loss: 1.4569	LR: 0.085484
Training Epoch: 1 [41216/47500]	Loss: 1.5416	LR: 0.086022
Training Epoch: 1 [41472/47500]	Loss: 1.5243	LR: 0.086559
Training Epoch: 1 [41728/47500]	Loss: 1.5042	LR: 0.087097
Training Epoch: 1 [41984/47500]	Loss: 1.5395	LR: 0.087634
Training Epoch: 1 [42240/47500]	Loss: 1.4480	LR: 0.088172
Training Epoch: 1 [42496/47500]	Loss: 1.3713	LR: 0.088710
Training Epoch: 1 [42752/47500]	Loss: 1.3858	LR: 0.089247
Training Epoch: 1 [43008/47500]	Loss: 1.3887	LR: 0.089785
Training Epoch: 1 [43264/47500]	Loss: 1.5173	LR: 0.090323
Training Epoch: 1 [43520/47500]	Loss: 1.3443	LR: 0.090860
Training Epoch: 1 [43776/47500]	Loss: 1.4496	LR: 0.091398
Training Epoch: 1 [44032/47500]	Loss: 1.5097	LR: 0.091935
Training Epoch: 1 [44288/47500]	Loss: 1.6071	LR: 0.092473
Training Epoch: 1 [44544/47500]	Loss: 1.4101	LR: 0.093011
Training Epoch: 1 [44800/47500]	Loss: 1.4016	LR: 0.093548
Training Epoch: 1 [45056/47500]	Loss: 1.5096	LR: 0.094086
Training Epoch: 1 [45312/47500]	Loss: 1.4918	LR: 0.094624
Training Epoch: 1 [45568/47500]	Loss: 1.4607	LR: 0.095161
Training Epoch: 1 [45824/47500]	Loss: 1.4317	LR: 0.095699
Training Epoch: 1 [46080/47500]	Loss: 1.3210	LR: 0.096237
Training Epoch: 1 [46336/47500]	Loss: 1.4093	LR: 0.096774
Training Epoch: 1 [46592/47500]	Loss: 1.3940	LR: 0.097312
Training Epoch: 1 [46848/47500]	Loss: 1.4968	LR: 0.097849
Training Epoch: 1 [47104/47500]	Loss: 1.4086	LR: 0.098387
Training Epoch: 1 [47360/47500]	Loss: 1.2422	LR: 0.098925
Training Epoch: 1 [47500/47500]	Loss: 1.0935	LR: 0.099462
Epoch 1 - Average Train Loss: 1.7019, Train Accuracy: 0.3775
Epoch 1 training time consumed: 29.33s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0063, Accuracy: 0.4685, Time consumed:1.04s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_17h_17m_25s/ResNet18-Cifar10-seed10-ret50-1-best.pth
Training Epoch: 2 [256/47500]	Loss: 1.4677	LR: 0.100000
Training Epoch: 2 [512/47500]	Loss: 1.2526	LR: 0.100000
Training Epoch: 2 [768/47500]	Loss: 1.3102	LR: 0.100000
Training Epoch: 2 [1024/47500]	Loss: 1.4302	LR: 0.100000
Training Epoch: 2 [1280/47500]	Loss: 1.3478	LR: 0.100000
Training Epoch: 2 [1536/47500]	Loss: 1.2838	LR: 0.100000
Training Epoch: 2 [1792/47500]	Loss: 1.4618	LR: 0.100000
Training Epoch: 2 [2048/47500]	Loss: 1.4062	LR: 0.100000
Training Epoch: 2 [2304/47500]	Loss: 1.4852	LR: 0.100000
Training Epoch: 2 [2560/47500]	Loss: 1.5927	LR: 0.100000
Training Epoch: 2 [2816/47500]	Loss: 1.4978	LR: 0.100000
Training Epoch: 2 [3072/47500]	Loss: 1.4114	LR: 0.100000
Training Epoch: 2 [3328/47500]	Loss: 1.3642	LR: 0.100000
Training Epoch: 2 [3584/47500]	Loss: 1.3492	LR: 0.100000
Training Epoch: 2 [3840/47500]	Loss: 1.3915	LR: 0.100000
Training Epoch: 2 [4096/47500]	Loss: 1.5586	LR: 0.100000
Training Epoch: 2 [4352/47500]	Loss: 1.5066	LR: 0.100000
Training Epoch: 2 [4608/47500]	Loss: 1.3303	LR: 0.100000
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Training Epoch: 2 [5120/47500]	Loss: 1.4060	LR: 0.100000
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Training Epoch: 2 [5632/47500]	Loss: 1.2745	LR: 0.100000
Training Epoch: 2 [5888/47500]	Loss: 1.3676	LR: 0.100000
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Training Epoch: 2 [19200/47500]	Loss: 1.2041	LR: 0.100000
Training Epoch: 2 [19456/47500]	Loss: 1.1650	LR: 0.100000
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Training Epoch: 2 [20224/47500]	Loss: 1.2437	LR: 0.100000
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Training Epoch: 2 [22016/47500]	Loss: 1.2240	LR: 0.100000
Training Epoch: 2 [22272/47500]	Loss: 1.2304	LR: 0.100000
Training Epoch: 2 [22528/47500]	Loss: 1.3134	LR: 0.100000
Training Epoch: 2 [22784/47500]	Loss: 1.0934	LR: 0.100000
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Training Epoch: 2 [47360/47500]	Loss: 1.0520	LR: 0.100000
Training Epoch: 2 [47500/47500]	Loss: 0.8821	LR: 0.100000
Epoch 2 - Average Train Loss: 1.2071, Train Accuracy: 0.5655
Epoch 2 training time consumed: 28.93s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0042, Accuracy: 0.6311, Time consumed:0.98s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_17h_17m_25s/ResNet18-Cifar10-seed10-ret50-2-best.pth
Training Epoch: 3 [256/47500]	Loss: 1.0447	LR: 0.100000
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Training Epoch: 3 [47500/47500]	Loss: 0.9099	LR: 0.100000
Epoch 3 - Average Train Loss: 0.9513, Train Accuracy: 0.6634
Epoch 3 training time consumed: 28.92s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0032, Accuracy: 0.7233, Time consumed:0.98s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_17h_17m_25s/ResNet18-Cifar10-seed10-ret50-3-best.pth
Training Epoch: 4 [256/47500]	Loss: 0.6985	LR: 0.100000
Training Epoch: 4 [512/47500]	Loss: 0.7379	LR: 0.100000
Training Epoch: 4 [768/47500]	Loss: 0.9530	LR: 0.100000
Training Epoch: 4 [1024/47500]	Loss: 0.9454	LR: 0.100000
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Training Epoch: 4 [2048/47500]	Loss: 0.9331	LR: 0.100000
Training Epoch: 4 [2304/47500]	Loss: 0.8701	LR: 0.100000
Training Epoch: 4 [2560/47500]	Loss: 0.7709	LR: 0.100000
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Training Epoch: 4 [21248/47500]	Loss: 0.7411	LR: 0.100000
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Training Epoch: 4 [22272/47500]	Loss: 0.8326	LR: 0.100000
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Training Epoch: 4 [23296/47500]	Loss: 0.8591	LR: 0.100000
Training Epoch: 4 [23552/47500]	Loss: 0.7572	LR: 0.100000
Training Epoch: 4 [23808/47500]	Loss: 0.8853	LR: 0.100000
Training Epoch: 4 [24064/47500]	Loss: 0.6927	LR: 0.100000
Training Epoch: 4 [24320/47500]	Loss: 0.7901	LR: 0.100000
Training Epoch: 4 [24576/47500]	Loss: 0.9197	LR: 0.100000
Training Epoch: 4 [24832/47500]	Loss: 0.7981	LR: 0.100000
Training Epoch: 4 [25088/47500]	Loss: 0.8001	LR: 0.100000
Training Epoch: 4 [25344/47500]	Loss: 0.7837	LR: 0.100000
Training Epoch: 4 [25600/47500]	Loss: 0.8771	LR: 0.100000
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Training Epoch: 4 [26368/47500]	Loss: 0.6941	LR: 0.100000
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Training Epoch: 4 [27136/47500]	Loss: 0.7028	LR: 0.100000
Training Epoch: 4 [27392/47500]	Loss: 0.8194	LR: 0.100000
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Training Epoch: 4 [27904/47500]	Loss: 0.8046	LR: 0.100000
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Training Epoch: 4 [28416/47500]	Loss: 0.8085	LR: 0.100000
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Training Epoch: 4 [29184/47500]	Loss: 0.7419	LR: 0.100000
Training Epoch: 4 [29440/47500]	Loss: 0.9310	LR: 0.100000
Training Epoch: 4 [29696/47500]	Loss: 0.6806	LR: 0.100000
Training Epoch: 4 [29952/47500]	Loss: 0.8065	LR: 0.100000
Training Epoch: 4 [30208/47500]	Loss: 0.7407	LR: 0.100000
Training Epoch: 4 [30464/47500]	Loss: 0.8839	LR: 0.100000
Training Epoch: 4 [30720/47500]	Loss: 0.8602	LR: 0.100000
Training Epoch: 4 [30976/47500]	Loss: 0.7230	LR: 0.100000
Training Epoch: 4 [31232/47500]	Loss: 0.7023	LR: 0.100000
Training Epoch: 4 [31488/47500]	Loss: 0.6353	LR: 0.100000
Training Epoch: 4 [31744/47500]	Loss: 0.7575	LR: 0.100000
Training Epoch: 4 [32000/47500]	Loss: 0.8048	LR: 0.100000
Training Epoch: 4 [32256/47500]	Loss: 0.9996	LR: 0.100000
Training Epoch: 4 [32512/47500]	Loss: 0.7032	LR: 0.100000
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Training Epoch: 4 [34816/47500]	Loss: 0.7637	LR: 0.100000
Training Epoch: 4 [35072/47500]	Loss: 0.7245	LR: 0.100000
Training Epoch: 4 [35328/47500]	Loss: 0.8159	LR: 0.100000
Training Epoch: 4 [35584/47500]	Loss: 0.7720	LR: 0.100000
Training Epoch: 4 [35840/47500]	Loss: 0.7438	LR: 0.100000
Training Epoch: 4 [36096/47500]	Loss: 0.8156	LR: 0.100000
Training Epoch: 4 [36352/47500]	Loss: 0.7269	LR: 0.100000
Training Epoch: 4 [36608/47500]	Loss: 0.8006	LR: 0.100000
Training Epoch: 4 [36864/47500]	Loss: 0.8134	LR: 0.100000
Training Epoch: 4 [37120/47500]	Loss: 0.7685	LR: 0.100000
Training Epoch: 4 [37376/47500]	Loss: 0.8290	LR: 0.100000
Training Epoch: 4 [37632/47500]	Loss: 0.6850	LR: 0.100000
Training Epoch: 4 [37888/47500]	Loss: 0.8132	LR: 0.100000
Training Epoch: 4 [38144/47500]	Loss: 0.7509	LR: 0.100000
Training Epoch: 4 [38400/47500]	Loss: 0.8608	LR: 0.100000
Training Epoch: 4 [38656/47500]	Loss: 0.8098	LR: 0.100000
Training Epoch: 4 [38912/47500]	Loss: 0.7326	LR: 0.100000
Training Epoch: 4 [39168/47500]	Loss: 0.7030	LR: 0.100000
Training Epoch: 4 [39424/47500]	Loss: 0.7142	LR: 0.100000
Training Epoch: 4 [39680/47500]	Loss: 0.6691	LR: 0.100000
Training Epoch: 4 [39936/47500]	Loss: 0.7480	LR: 0.100000
Training Epoch: 4 [40192/47500]	Loss: 0.8090	LR: 0.100000
Training Epoch: 4 [40448/47500]	Loss: 0.6653	LR: 0.100000
Training Epoch: 4 [40704/47500]	Loss: 0.7966	LR: 0.100000
Training Epoch: 4 [40960/47500]	Loss: 0.7892	LR: 0.100000
Training Epoch: 4 [41216/47500]	Loss: 0.8326	LR: 0.100000
Training Epoch: 4 [41472/47500]	Loss: 0.6865	LR: 0.100000
Training Epoch: 4 [41728/47500]	Loss: 0.7559	LR: 0.100000
Training Epoch: 4 [41984/47500]	Loss: 0.8606	LR: 0.100000
Training Epoch: 4 [42240/47500]	Loss: 0.6467	LR: 0.100000
Training Epoch: 4 [42496/47500]	Loss: 0.6959	LR: 0.100000
Training Epoch: 4 [42752/47500]	Loss: 0.7009	LR: 0.100000
Training Epoch: 4 [43008/47500]	Loss: 0.5740	LR: 0.100000
Training Epoch: 4 [43264/47500]	Loss: 0.6962	LR: 0.100000
Training Epoch: 4 [43520/47500]	Loss: 0.6623	LR: 0.100000
Training Epoch: 4 [43776/47500]	Loss: 0.6972	LR: 0.100000
Training Epoch: 4 [44032/47500]	Loss: 0.6651	LR: 0.100000
Training Epoch: 4 [44288/47500]	Loss: 0.8002	LR: 0.100000
Training Epoch: 4 [44544/47500]	Loss: 0.6738	LR: 0.100000
Training Epoch: 4 [44800/47500]	Loss: 0.6664	LR: 0.100000
Training Epoch: 4 [45056/47500]	Loss: 0.5872	LR: 0.100000
Training Epoch: 4 [45312/47500]	Loss: 0.7933	LR: 0.100000
Training Epoch: 4 [45568/47500]	Loss: 0.5921	LR: 0.100000
Training Epoch: 4 [45824/47500]	Loss: 0.7855	LR: 0.100000
Training Epoch: 4 [46080/47500]	Loss: 0.7537	LR: 0.100000
Training Epoch: 4 [46336/47500]	Loss: 0.7091	LR: 0.100000
Training Epoch: 4 [46592/47500]	Loss: 0.8146	LR: 0.100000
Training Epoch: 4 [46848/47500]	Loss: 0.7698	LR: 0.100000
Training Epoch: 4 [47104/47500]	Loss: 0.8251	LR: 0.100000
Training Epoch: 4 [47360/47500]	Loss: 0.8191	LR: 0.100000
Training Epoch: 4 [47500/47500]	Loss: 0.8142	LR: 0.100000
Epoch 4 - Average Train Loss: 0.8031, Train Accuracy: 0.7192
Epoch 4 training time consumed: 29.16s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0044, Accuracy: 0.6431, Time consumed:1.60s
Training Epoch: 5 [256/47500]	Loss: 0.8633	LR: 0.100000
Training Epoch: 5 [512/47500]	Loss: 0.7620	LR: 0.100000
Training Epoch: 5 [768/47500]	Loss: 0.8471	LR: 0.100000
Training Epoch: 5 [1024/47500]	Loss: 0.8475	LR: 0.100000
Training Epoch: 5 [1280/47500]	Loss: 0.7076	LR: 0.100000
Training Epoch: 5 [1536/47500]	Loss: 0.7879	LR: 0.100000
Training Epoch: 5 [1792/47500]	Loss: 0.6875	LR: 0.100000
Training Epoch: 5 [2048/47500]	Loss: 0.7056	LR: 0.100000
Training Epoch: 5 [2304/47500]	Loss: 0.7562	LR: 0.100000
Training Epoch: 5 [2560/47500]	Loss: 0.7330	LR: 0.100000
Training Epoch: 5 [2816/47500]	Loss: 0.7949	LR: 0.100000
Training Epoch: 5 [3072/47500]	Loss: 0.7878	LR: 0.100000
Training Epoch: 5 [3328/47500]	Loss: 0.6607	LR: 0.100000
Training Epoch: 5 [3584/47500]	Loss: 0.8422	LR: 0.100000
Training Epoch: 5 [3840/47500]	Loss: 0.8756	LR: 0.100000
Training Epoch: 5 [4096/47500]	Loss: 0.8667	LR: 0.100000
Training Epoch: 5 [4352/47500]	Loss: 0.6455	LR: 0.100000
Training Epoch: 5 [4608/47500]	Loss: 0.7921	LR: 0.100000
Training Epoch: 5 [4864/47500]	Loss: 0.7987	LR: 0.100000
Training Epoch: 5 [5120/47500]	Loss: 0.7171	LR: 0.100000
Training Epoch: 5 [5376/47500]	Loss: 0.6578	LR: 0.100000
Training Epoch: 5 [5632/47500]	Loss: 0.7377	LR: 0.100000
Training Epoch: 5 [5888/47500]	Loss: 0.5616	LR: 0.100000
Training Epoch: 5 [6144/47500]	Loss: 0.7873	LR: 0.100000
Training Epoch: 5 [6400/47500]	Loss: 0.7164	LR: 0.100000
Training Epoch: 5 [6656/47500]	Loss: 0.7666	LR: 0.100000
Training Epoch: 5 [6912/47500]	Loss: 0.7820	LR: 0.100000
Training Epoch: 5 [7168/47500]	Loss: 0.6513	LR: 0.100000
Training Epoch: 5 [7424/47500]	Loss: 0.9191	LR: 0.100000
Training Epoch: 5 [7680/47500]	Loss: 0.6699	LR: 0.100000
Training Epoch: 5 [7936/47500]	Loss: 0.6880	LR: 0.100000
Training Epoch: 5 [8192/47500]	Loss: 0.6735	LR: 0.100000
Training Epoch: 5 [8448/47500]	Loss: 0.7357	LR: 0.100000
Training Epoch: 5 [8704/47500]	Loss: 0.7382	LR: 0.100000
Training Epoch: 5 [8960/47500]	Loss: 0.6289	LR: 0.100000
Training Epoch: 5 [9216/47500]	Loss: 0.6277	LR: 0.100000
Training Epoch: 5 [9472/47500]	Loss: 0.6555	LR: 0.100000
Training Epoch: 5 [9728/47500]	Loss: 0.6803	LR: 0.100000
Training Epoch: 5 [9984/47500]	Loss: 0.7970	LR: 0.100000
Training Epoch: 5 [10240/47500]	Loss: 0.6527	LR: 0.100000
Training Epoch: 5 [10496/47500]	Loss: 0.7029	LR: 0.100000
Training Epoch: 5 [10752/47500]	Loss: 0.7308	LR: 0.100000
Training Epoch: 5 [11008/47500]	Loss: 0.6615	LR: 0.100000
Training Epoch: 5 [11264/47500]	Loss: 0.6779	LR: 0.100000
Training Epoch: 5 [11520/47500]	Loss: 0.6477	LR: 0.100000
Training Epoch: 5 [11776/47500]	Loss: 0.6068	LR: 0.100000
Training Epoch: 5 [12032/47500]	Loss: 0.6662	LR: 0.100000
Training Epoch: 5 [12288/47500]	Loss: 0.6840	LR: 0.100000
Training Epoch: 5 [12544/47500]	Loss: 0.7060	LR: 0.100000
Training Epoch: 5 [12800/47500]	Loss: 0.6044	LR: 0.100000
Training Epoch: 5 [13056/47500]	Loss: 0.6485	LR: 0.100000
Training Epoch: 5 [13312/47500]	Loss: 0.6768	LR: 0.100000
Training Epoch: 5 [13568/47500]	Loss: 0.6796	LR: 0.100000
Training Epoch: 5 [13824/47500]	Loss: 0.7112	LR: 0.100000
Training Epoch: 5 [14080/47500]	Loss: 0.7346	LR: 0.100000
Training Epoch: 5 [14336/47500]	Loss: 0.7317	LR: 0.100000
Training Epoch: 5 [14592/47500]	Loss: 0.6735	LR: 0.100000
Training Epoch: 5 [14848/47500]	Loss: 0.7260	LR: 0.100000
Training Epoch: 5 [15104/47500]	Loss: 0.6725	LR: 0.100000
Training Epoch: 5 [15360/47500]	Loss: 0.6677	LR: 0.100000
Training Epoch: 5 [15616/47500]	Loss: 0.6643	LR: 0.100000
Training Epoch: 5 [15872/47500]	Loss: 0.7793	LR: 0.100000
Training Epoch: 5 [16128/47500]	Loss: 0.6240	LR: 0.100000
Training Epoch: 5 [16384/47500]	Loss: 0.7513	LR: 0.100000
Training Epoch: 5 [16640/47500]	Loss: 0.7085	LR: 0.100000
Training Epoch: 5 [16896/47500]	Loss: 0.6711	LR: 0.100000
Training Epoch: 5 [17152/47500]	Loss: 0.6850	LR: 0.100000
Training Epoch: 5 [17408/47500]	Loss: 0.7211	LR: 0.100000
Training Epoch: 5 [17664/47500]	Loss: 0.6278	LR: 0.100000
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Training Epoch: 5 [19200/47500]	Loss: 0.7133	LR: 0.100000
Training Epoch: 5 [19456/47500]	Loss: 0.8726	LR: 0.100000
Training Epoch: 5 [19712/47500]	Loss: 0.7578	LR: 0.100000
Training Epoch: 5 [19968/47500]	Loss: 0.7811	LR: 0.100000
Training Epoch: 5 [20224/47500]	Loss: 0.6935	LR: 0.100000
Training Epoch: 5 [20480/47500]	Loss: 0.7498	LR: 0.100000
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Training Epoch: 5 [22016/47500]	Loss: 0.6028	LR: 0.100000
Training Epoch: 5 [22272/47500]	Loss: 0.6793	LR: 0.100000
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Training Epoch: 5 [23040/47500]	Loss: 0.7104	LR: 0.100000
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Training Epoch: 5 [23552/47500]	Loss: 0.8593	LR: 0.100000
Training Epoch: 5 [23808/47500]	Loss: 0.7081	LR: 0.100000
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Training Epoch: 5 [24320/47500]	Loss: 0.7927	LR: 0.100000
Training Epoch: 5 [24576/47500]	Loss: 0.6304	LR: 0.100000
Training Epoch: 5 [24832/47500]	Loss: 0.6910	LR: 0.100000
Training Epoch: 5 [25088/47500]	Loss: 0.7301	LR: 0.100000
Training Epoch: 5 [25344/47500]	Loss: 0.6937	LR: 0.100000
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Training Epoch: 5 [26368/47500]	Loss: 0.7092	LR: 0.100000
Training Epoch: 5 [26624/47500]	Loss: 0.7878	LR: 0.100000
Training Epoch: 5 [26880/47500]	Loss: 0.8219	LR: 0.100000
Training Epoch: 5 [27136/47500]	Loss: 0.7933	LR: 0.100000
Training Epoch: 5 [27392/47500]	Loss: 0.7428	LR: 0.100000
Training Epoch: 5 [27648/47500]	Loss: 0.8274	LR: 0.100000
Training Epoch: 5 [27904/47500]	Loss: 0.7536	LR: 0.100000
Training Epoch: 5 [28160/47500]	Loss: 0.7868	LR: 0.100000
Training Epoch: 5 [28416/47500]	Loss: 0.7656	LR: 0.100000
Training Epoch: 5 [28672/47500]	Loss: 0.6968	LR: 0.100000
Training Epoch: 5 [28928/47500]	Loss: 0.7514	LR: 0.100000
Training Epoch: 5 [29184/47500]	Loss: 0.7105	LR: 0.100000
Training Epoch: 5 [29440/47500]	Loss: 0.5783	LR: 0.100000
Training Epoch: 5 [29696/47500]	Loss: 0.7536	LR: 0.100000
Training Epoch: 5 [29952/47500]	Loss: 0.7014	LR: 0.100000
Training Epoch: 5 [30208/47500]	Loss: 0.6785	LR: 0.100000
Training Epoch: 5 [30464/47500]	Loss: 0.6810	LR: 0.100000
Training Epoch: 5 [30720/47500]	Loss: 0.7117	LR: 0.100000
Training Epoch: 5 [30976/47500]	Loss: 0.6791	LR: 0.100000
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Training Epoch: 5 [47500/47500]	Loss: 0.6063	LR: 0.100000
Epoch 5 - Average Train Loss: 0.7090, Train Accuracy: 0.7508
Epoch 5 training time consumed: 29.62s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0034, Accuracy: 0.7118, Time consumed:1.04s
Training Epoch: 6 [256/47500]	Loss: 0.6738	LR: 0.100000
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Training Epoch: 6 [47500/47500]	Loss: 0.4634	LR: 0.100000
Epoch 6 - Average Train Loss: 0.6404, Train Accuracy: 0.7779
Epoch 6 training time consumed: 29.38s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0026, Accuracy: 0.7807, Time consumed:1.08s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_17h_17m_25s/ResNet18-Cifar10-seed10-ret50-6-best.pth
Training Epoch: 7 [256/47500]	Loss: 0.5846	LR: 0.100000
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Training Epoch: 7 [11008/47500]	Loss: 0.5578	LR: 0.100000
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Training Epoch: 7 [11520/47500]	Loss: 0.4628	LR: 0.100000
Training Epoch: 7 [11776/47500]	Loss: 0.5803	LR: 0.100000
Training Epoch: 7 [12032/47500]	Loss: 0.4701	LR: 0.100000
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Training Epoch: 7 [12800/47500]	Loss: 0.6475	LR: 0.100000
Training Epoch: 7 [13056/47500]	Loss: 0.5773	LR: 0.100000
Training Epoch: 7 [13312/47500]	Loss: 0.5626	LR: 0.100000
Training Epoch: 7 [13568/47500]	Loss: 0.5491	LR: 0.100000
Training Epoch: 7 [13824/47500]	Loss: 0.7045	LR: 0.100000
Training Epoch: 7 [14080/47500]	Loss: 0.6780	LR: 0.100000
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Training Epoch: 7 [14592/47500]	Loss: 0.6216	LR: 0.100000
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Training Epoch: 7 [15104/47500]	Loss: 0.6020	LR: 0.100000
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Training Epoch: 7 [16384/47500]	Loss: 0.7257	LR: 0.100000
Training Epoch: 7 [16640/47500]	Loss: 0.6296	LR: 0.100000
Training Epoch: 7 [16896/47500]	Loss: 0.6020	LR: 0.100000
Training Epoch: 7 [17152/47500]	Loss: 0.5991	LR: 0.100000
Training Epoch: 7 [17408/47500]	Loss: 0.6192	LR: 0.100000
Training Epoch: 7 [17664/47500]	Loss: 0.6007	LR: 0.100000
Training Epoch: 7 [17920/47500]	Loss: 0.5416	LR: 0.100000
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Training Epoch: 7 [18432/47500]	Loss: 0.6598	LR: 0.100000
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Training Epoch: 7 [18944/47500]	Loss: 0.5853	LR: 0.100000
Training Epoch: 7 [19200/47500]	Loss: 0.7427	LR: 0.100000
Training Epoch: 7 [19456/47500]	Loss: 0.5852	LR: 0.100000
Training Epoch: 7 [19712/47500]	Loss: 0.6074	LR: 0.100000
Training Epoch: 7 [19968/47500]	Loss: 0.4989	LR: 0.100000
Training Epoch: 7 [20224/47500]	Loss: 0.5767	LR: 0.100000
Training Epoch: 7 [20480/47500]	Loss: 0.5329	LR: 0.100000
Training Epoch: 7 [20736/47500]	Loss: 0.6670	LR: 0.100000
Training Epoch: 7 [20992/47500]	Loss: 0.5748	LR: 0.100000
Training Epoch: 7 [21248/47500]	Loss: 0.7144	LR: 0.100000
Training Epoch: 7 [21504/47500]	Loss: 0.5390	LR: 0.100000
Training Epoch: 7 [21760/47500]	Loss: 0.6055	LR: 0.100000
Training Epoch: 7 [22016/47500]	Loss: 0.6087	LR: 0.100000
Training Epoch: 7 [22272/47500]	Loss: 0.5250	LR: 0.100000
Training Epoch: 7 [22528/47500]	Loss: 0.6222	LR: 0.100000
Training Epoch: 7 [22784/47500]	Loss: 0.6102	LR: 0.100000
Training Epoch: 7 [23040/47500]	Loss: 0.6595	LR: 0.100000
Training Epoch: 7 [23296/47500]	Loss: 0.5437	LR: 0.100000
Training Epoch: 7 [23552/47500]	Loss: 0.5659	LR: 0.100000
Training Epoch: 7 [23808/47500]	Loss: 0.5398	LR: 0.100000
Training Epoch: 7 [24064/47500]	Loss: 0.5447	LR: 0.100000
Training Epoch: 7 [24320/47500]	Loss: 0.5564	LR: 0.100000
Training Epoch: 7 [24576/47500]	Loss: 0.5291	LR: 0.100000
Training Epoch: 7 [24832/47500]	Loss: 0.6152	LR: 0.100000
Training Epoch: 7 [25088/47500]	Loss: 0.7620	LR: 0.100000
Training Epoch: 7 [25344/47500]	Loss: 0.6267	LR: 0.100000
Training Epoch: 7 [25600/47500]	Loss: 0.5555	LR: 0.100000
Training Epoch: 7 [25856/47500]	Loss: 0.6492	LR: 0.100000
Training Epoch: 7 [26112/47500]	Loss: 0.6865	LR: 0.100000
Training Epoch: 7 [26368/47500]	Loss: 0.5351	LR: 0.100000
Training Epoch: 7 [26624/47500]	Loss: 0.6246	LR: 0.100000
Training Epoch: 7 [26880/47500]	Loss: 0.4946	LR: 0.100000
Training Epoch: 7 [27136/47500]	Loss: 0.5730	LR: 0.100000
Training Epoch: 7 [27392/47500]	Loss: 0.7181	LR: 0.100000
Training Epoch: 7 [27648/47500]	Loss: 0.6488	LR: 0.100000
Training Epoch: 7 [27904/47500]	Loss: 0.6975	LR: 0.100000
Training Epoch: 7 [28160/47500]	Loss: 0.5369	LR: 0.100000
Training Epoch: 7 [28416/47500]	Loss: 0.5981	LR: 0.100000
Training Epoch: 7 [28672/47500]	Loss: 0.7208	LR: 0.100000
Training Epoch: 7 [28928/47500]	Loss: 0.6204	LR: 0.100000
Training Epoch: 7 [29184/47500]	Loss: 0.5849	LR: 0.100000
Training Epoch: 7 [29440/47500]	Loss: 0.6550	LR: 0.100000
Training Epoch: 7 [29696/47500]	Loss: 0.5142	LR: 0.100000
Training Epoch: 7 [29952/47500]	Loss: 0.6777	LR: 0.100000
Training Epoch: 7 [30208/47500]	Loss: 0.6986	LR: 0.100000
Training Epoch: 7 [30464/47500]	Loss: 0.4827	LR: 0.100000
Training Epoch: 7 [30720/47500]	Loss: 0.6723	LR: 0.100000
Training Epoch: 7 [30976/47500]	Loss: 0.5279	LR: 0.100000
Training Epoch: 7 [31232/47500]	Loss: 0.5322	LR: 0.100000
Training Epoch: 7 [31488/47500]	Loss: 0.5797	LR: 0.100000
Training Epoch: 7 [31744/47500]	Loss: 0.6192	LR: 0.100000
Training Epoch: 7 [32000/47500]	Loss: 0.6725	LR: 0.100000
Training Epoch: 7 [32256/47500]	Loss: 0.4686	LR: 0.100000
Training Epoch: 7 [32512/47500]	Loss: 0.5655	LR: 0.100000
Training Epoch: 7 [32768/47500]	Loss: 0.6795	LR: 0.100000
Training Epoch: 7 [33024/47500]	Loss: 0.5505	LR: 0.100000
Training Epoch: 7 [33280/47500]	Loss: 0.5004	LR: 0.100000
Training Epoch: 7 [33536/47500]	Loss: 0.5810	LR: 0.100000
Training Epoch: 7 [33792/47500]	Loss: 0.6427	LR: 0.100000
Training Epoch: 7 [34048/47500]	Loss: 0.4887	LR: 0.100000
Training Epoch: 7 [34304/47500]	Loss: 0.6888	LR: 0.100000
Training Epoch: 7 [34560/47500]	Loss: 0.6101	LR: 0.100000
Training Epoch: 7 [34816/47500]	Loss: 0.5278	LR: 0.100000
Training Epoch: 7 [35072/47500]	Loss: 0.6280	LR: 0.100000
Training Epoch: 7 [35328/47500]	Loss: 0.5500	LR: 0.100000
Training Epoch: 7 [35584/47500]	Loss: 0.6174	LR: 0.100000
Training Epoch: 7 [35840/47500]	Loss: 0.6201	LR: 0.100000
Training Epoch: 7 [36096/47500]	Loss: 0.5341	LR: 0.100000
Training Epoch: 7 [36352/47500]	Loss: 0.5992	LR: 0.100000
Training Epoch: 7 [36608/47500]	Loss: 0.5250	LR: 0.100000
Training Epoch: 7 [36864/47500]	Loss: 0.5512	LR: 0.100000
Training Epoch: 7 [37120/47500]	Loss: 0.6763	LR: 0.100000
Training Epoch: 7 [37376/47500]	Loss: 0.6025	LR: 0.100000
Training Epoch: 7 [37632/47500]	Loss: 0.6324	LR: 0.100000
Training Epoch: 7 [37888/47500]	Loss: 0.6199	LR: 0.100000
Training Epoch: 7 [38144/47500]	Loss: 0.5613	LR: 0.100000
Training Epoch: 7 [38400/47500]	Loss: 0.5238	LR: 0.100000
Training Epoch: 7 [38656/47500]	Loss: 0.5607	LR: 0.100000
Training Epoch: 7 [38912/47500]	Loss: 0.5702	LR: 0.100000
Training Epoch: 7 [39168/47500]	Loss: 0.5893	LR: 0.100000
Training Epoch: 7 [39424/47500]	Loss: 0.6062	LR: 0.100000
Training Epoch: 7 [39680/47500]	Loss: 0.6264	LR: 0.100000
Training Epoch: 7 [39936/47500]	Loss: 0.7100	LR: 0.100000
Training Epoch: 7 [40192/47500]	Loss: 0.4959	LR: 0.100000
Training Epoch: 7 [40448/47500]	Loss: 0.6467	LR: 0.100000
Training Epoch: 7 [40704/47500]	Loss: 0.5654	LR: 0.100000
Training Epoch: 7 [40960/47500]	Loss: 0.5406	LR: 0.100000
Training Epoch: 7 [41216/47500]	Loss: 0.5586	LR: 0.100000
Training Epoch: 7 [41472/47500]	Loss: 0.6042	LR: 0.100000
Training Epoch: 7 [41728/47500]	Loss: 0.5950	LR: 0.100000
Training Epoch: 7 [41984/47500]	Loss: 0.5658	LR: 0.100000
Training Epoch: 7 [42240/47500]	Loss: 0.6126	LR: 0.100000
Training Epoch: 7 [42496/47500]	Loss: 0.6685	LR: 0.100000
Training Epoch: 7 [42752/47500]	Loss: 0.5187	LR: 0.100000
Training Epoch: 7 [43008/47500]	Loss: 0.5956	LR: 0.100000
Training Epoch: 7 [43264/47500]	Loss: 0.5988	LR: 0.100000
Training Epoch: 7 [43520/47500]	Loss: 0.5325	LR: 0.100000
Training Epoch: 7 [43776/47500]	Loss: 0.5714	LR: 0.100000
Training Epoch: 7 [44032/47500]	Loss: 0.5981	LR: 0.100000
Training Epoch: 7 [44288/47500]	Loss: 0.5751	LR: 0.100000
Training Epoch: 7 [44544/47500]	Loss: 0.5435	LR: 0.100000
Training Epoch: 7 [44800/47500]	Loss: 0.5954	LR: 0.100000
Training Epoch: 7 [45056/47500]	Loss: 0.5249	LR: 0.100000
Training Epoch: 7 [45312/47500]	Loss: 0.5488	LR: 0.100000
Training Epoch: 7 [45568/47500]	Loss: 0.6329	LR: 0.100000
Training Epoch: 7 [45824/47500]	Loss: 0.5738	LR: 0.100000
Training Epoch: 7 [46080/47500]	Loss: 0.5558	LR: 0.100000
Training Epoch: 7 [46336/47500]	Loss: 0.6909	LR: 0.100000
Training Epoch: 7 [46592/47500]	Loss: 0.6727	LR: 0.100000
Training Epoch: 7 [46848/47500]	Loss: 0.4997	LR: 0.100000
Training Epoch: 7 [47104/47500]	Loss: 0.5297	LR: 0.100000
Training Epoch: 7 [47360/47500]	Loss: 0.6377	LR: 0.100000
Training Epoch: 7 [47500/47500]	Loss: 0.7834	LR: 0.100000
Epoch 7 - Average Train Loss: 0.6003, Train Accuracy: 0.7927
Epoch 7 training time consumed: 29.33s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0028, Accuracy: 0.7731, Time consumed:1.01s
Training Epoch: 8 [256/47500]	Loss: 0.5261	LR: 0.020000
Training Epoch: 8 [512/47500]	Loss: 0.6455	LR: 0.020000
Training Epoch: 8 [768/47500]	Loss: 0.5539	LR: 0.020000
Training Epoch: 8 [1024/47500]	Loss: 0.5349	LR: 0.020000
Training Epoch: 8 [1280/47500]	Loss: 0.4672	LR: 0.020000
Training Epoch: 8 [1536/47500]	Loss: 0.5710	LR: 0.020000
Training Epoch: 8 [1792/47500]	Loss: 0.4968	LR: 0.020000
Training Epoch: 8 [2048/47500]	Loss: 0.6071	LR: 0.020000
Training Epoch: 8 [2304/47500]	Loss: 0.5596	LR: 0.020000
Training Epoch: 8 [2560/47500]	Loss: 0.4838	LR: 0.020000
Training Epoch: 8 [2816/47500]	Loss: 0.5458	LR: 0.020000
Training Epoch: 8 [3072/47500]	Loss: 0.5082	LR: 0.020000
Training Epoch: 8 [3328/47500]	Loss: 0.4997	LR: 0.020000
Training Epoch: 8 [3584/47500]	Loss: 0.4734	LR: 0.020000
Training Epoch: 8 [3840/47500]	Loss: 0.4819	LR: 0.020000
Training Epoch: 8 [4096/47500]	Loss: 0.5436	LR: 0.020000
Training Epoch: 8 [4352/47500]	Loss: 0.4675	LR: 0.020000
Training Epoch: 8 [4608/47500]	Loss: 0.5376	LR: 0.020000
Training Epoch: 8 [4864/47500]	Loss: 0.4731	LR: 0.020000
Training Epoch: 8 [5120/47500]	Loss: 0.4118	LR: 0.020000
Training Epoch: 8 [5376/47500]	Loss: 0.4667	LR: 0.020000
Training Epoch: 8 [5632/47500]	Loss: 0.3984	LR: 0.020000
Training Epoch: 8 [5888/47500]	Loss: 0.5187	LR: 0.020000
Training Epoch: 8 [6144/47500]	Loss: 0.4132	LR: 0.020000
Training Epoch: 8 [6400/47500]	Loss: 0.6396	LR: 0.020000
Training Epoch: 8 [6656/47500]	Loss: 0.4994	LR: 0.020000
Training Epoch: 8 [6912/47500]	Loss: 0.5573	LR: 0.020000
Training Epoch: 8 [7168/47500]	Loss: 0.4727	LR: 0.020000
Training Epoch: 8 [7424/47500]	Loss: 0.3895	LR: 0.020000
Training Epoch: 8 [7680/47500]	Loss: 0.4787	LR: 0.020000
Training Epoch: 8 [7936/47500]	Loss: 0.4135	LR: 0.020000
Training Epoch: 8 [8192/47500]	Loss: 0.3722	LR: 0.020000
Training Epoch: 8 [8448/47500]	Loss: 0.4565	LR: 0.020000
Training Epoch: 8 [8704/47500]	Loss: 0.5091	LR: 0.020000
Training Epoch: 8 [8960/47500]	Loss: 0.3724	LR: 0.020000
Training Epoch: 8 [9216/47500]	Loss: 0.4579	LR: 0.020000
Training Epoch: 8 [9472/47500]	Loss: 0.4609	LR: 0.020000
Training Epoch: 8 [9728/47500]	Loss: 0.4478	LR: 0.020000
Training Epoch: 8 [9984/47500]	Loss: 0.5597	LR: 0.020000
Training Epoch: 8 [10240/47500]	Loss: 0.4053	LR: 0.020000
Training Epoch: 8 [10496/47500]	Loss: 0.4239	LR: 0.020000
Training Epoch: 8 [10752/47500]	Loss: 0.4444	LR: 0.020000
Training Epoch: 8 [11008/47500]	Loss: 0.4767	LR: 0.020000
Training Epoch: 8 [11264/47500]	Loss: 0.4780	LR: 0.020000
Training Epoch: 8 [11520/47500]	Loss: 0.3870	LR: 0.020000
Training Epoch: 8 [11776/47500]	Loss: 0.4307	LR: 0.020000
Training Epoch: 8 [12032/47500]	Loss: 0.5122	LR: 0.020000
Training Epoch: 8 [12288/47500]	Loss: 0.4338	LR: 0.020000
Training Epoch: 8 [12544/47500]	Loss: 0.4209	LR: 0.020000
Training Epoch: 8 [12800/47500]	Loss: 0.4560	LR: 0.020000
Training Epoch: 8 [13056/47500]	Loss: 0.3757	LR: 0.020000
Training Epoch: 8 [13312/47500]	Loss: 0.4936	LR: 0.020000
Training Epoch: 8 [13568/47500]	Loss: 0.4944	LR: 0.020000
Training Epoch: 8 [13824/47500]	Loss: 0.3726	LR: 0.020000
Training Epoch: 8 [14080/47500]	Loss: 0.4016	LR: 0.020000
Training Epoch: 8 [14336/47500]	Loss: 0.4989	LR: 0.020000
Training Epoch: 8 [14592/47500]	Loss: 0.5372	LR: 0.020000
Training Epoch: 8 [14848/47500]	Loss: 0.4277	LR: 0.020000
Training Epoch: 8 [15104/47500]	Loss: 0.4915	LR: 0.020000
Training Epoch: 8 [15360/47500]	Loss: 0.4116	LR: 0.020000
Training Epoch: 8 [15616/47500]	Loss: 0.4580	LR: 0.020000
Training Epoch: 8 [15872/47500]	Loss: 0.3905	LR: 0.020000
Training Epoch: 8 [16128/47500]	Loss: 0.5364	LR: 0.020000
Training Epoch: 8 [16384/47500]	Loss: 0.3662	LR: 0.020000
Training Epoch: 8 [16640/47500]	Loss: 0.4295	LR: 0.020000
Training Epoch: 8 [16896/47500]	Loss: 0.4608	LR: 0.020000
Training Epoch: 8 [17152/47500]	Loss: 0.4249	LR: 0.020000
Training Epoch: 8 [17408/47500]	Loss: 0.4392	LR: 0.020000
Training Epoch: 8 [17664/47500]	Loss: 0.4889	LR: 0.020000
Training Epoch: 8 [17920/47500]	Loss: 0.4945	LR: 0.020000
Training Epoch: 8 [18176/47500]	Loss: 0.4561	LR: 0.020000
Training Epoch: 8 [18432/47500]	Loss: 0.4159	LR: 0.020000
Training Epoch: 8 [18688/47500]	Loss: 0.3619	LR: 0.020000
Training Epoch: 8 [18944/47500]	Loss: 0.5599	LR: 0.020000
Training Epoch: 8 [19200/47500]	Loss: 0.4804	LR: 0.020000
Training Epoch: 8 [19456/47500]	Loss: 0.4636	LR: 0.020000
Training Epoch: 8 [19712/47500]	Loss: 0.4708	LR: 0.020000
Training Epoch: 8 [19968/47500]	Loss: 0.4688	LR: 0.020000
Training Epoch: 8 [20224/47500]	Loss: 0.4498	LR: 0.020000
Training Epoch: 8 [20480/47500]	Loss: 0.3616	LR: 0.020000
Training Epoch: 8 [20736/47500]	Loss: 0.4191	LR: 0.020000
Training Epoch: 8 [20992/47500]	Loss: 0.4664	LR: 0.020000
Training Epoch: 8 [21248/47500]	Loss: 0.4218	LR: 0.020000
Training Epoch: 8 [21504/47500]	Loss: 0.5236	LR: 0.020000
Training Epoch: 8 [21760/47500]	Loss: 0.4359	LR: 0.020000
Training Epoch: 8 [22016/47500]	Loss: 0.4700	LR: 0.020000
Training Epoch: 8 [22272/47500]	Loss: 0.3890	LR: 0.020000
Training Epoch: 8 [22528/47500]	Loss: 0.4445	LR: 0.020000
Training Epoch: 8 [22784/47500]	Loss: 0.4644	LR: 0.020000
Training Epoch: 8 [23040/47500]	Loss: 0.3958	LR: 0.020000
Training Epoch: 8 [23296/47500]	Loss: 0.3826	LR: 0.020000
Training Epoch: 8 [23552/47500]	Loss: 0.5555	LR: 0.020000
Training Epoch: 8 [23808/47500]	Loss: 0.4137	LR: 0.020000
Training Epoch: 8 [24064/47500]	Loss: 0.3934	LR: 0.020000
Training Epoch: 8 [24320/47500]	Loss: 0.5205	LR: 0.020000
Training Epoch: 8 [24576/47500]	Loss: 0.4270	LR: 0.020000
Training Epoch: 8 [24832/47500]	Loss: 0.4534	LR: 0.020000
Training Epoch: 8 [25088/47500]	Loss: 0.4556	LR: 0.020000
Training Epoch: 8 [25344/47500]	Loss: 0.4767	LR: 0.020000
Training Epoch: 8 [25600/47500]	Loss: 0.3550	LR: 0.020000
Training Epoch: 8 [25856/47500]	Loss: 0.4017	LR: 0.020000
Training Epoch: 8 [26112/47500]	Loss: 0.3603	LR: 0.020000
Training Epoch: 8 [26368/47500]	Loss: 0.4095	LR: 0.020000
Training Epoch: 8 [26624/47500]	Loss: 0.4871	LR: 0.020000
Training Epoch: 8 [26880/47500]	Loss: 0.4359	LR: 0.020000
Training Epoch: 8 [27136/47500]	Loss: 0.4548	LR: 0.020000
Training Epoch: 8 [27392/47500]	Loss: 0.4244	LR: 0.020000
Training Epoch: 8 [27648/47500]	Loss: 0.3906	LR: 0.020000
Training Epoch: 8 [27904/47500]	Loss: 0.4536	LR: 0.020000
Training Epoch: 8 [28160/47500]	Loss: 0.4005	LR: 0.020000
Training Epoch: 8 [28416/47500]	Loss: 0.4078	LR: 0.020000
Training Epoch: 8 [28672/47500]	Loss: 0.4089	LR: 0.020000
Training Epoch: 8 [28928/47500]	Loss: 0.4158	LR: 0.020000
Training Epoch: 8 [29184/47500]	Loss: 0.4716	LR: 0.020000
Training Epoch: 8 [29440/47500]	Loss: 0.3808	LR: 0.020000
Training Epoch: 8 [29696/47500]	Loss: 0.4292	LR: 0.020000
Training Epoch: 8 [29952/47500]	Loss: 0.3561	LR: 0.020000
Training Epoch: 8 [30208/47500]	Loss: 0.4054	LR: 0.020000
Training Epoch: 8 [30464/47500]	Loss: 0.3679	LR: 0.020000
Training Epoch: 8 [30720/47500]	Loss: 0.4134	LR: 0.020000
Training Epoch: 8 [30976/47500]	Loss: 0.4225	LR: 0.020000
Training Epoch: 8 [31232/47500]	Loss: 0.3812	LR: 0.020000
Training Epoch: 8 [31488/47500]	Loss: 0.4079	LR: 0.020000
Training Epoch: 8 [31744/47500]	Loss: 0.3752	LR: 0.020000
Training Epoch: 8 [32000/47500]	Loss: 0.4309	LR: 0.020000
Training Epoch: 8 [32256/47500]	Loss: 0.4804	LR: 0.020000
Training Epoch: 8 [32512/47500]	Loss: 0.5119	LR: 0.020000
Training Epoch: 8 [32768/47500]	Loss: 0.4236	LR: 0.020000
Training Epoch: 8 [33024/47500]	Loss: 0.4200	LR: 0.020000
Training Epoch: 8 [33280/47500]	Loss: 0.3451	LR: 0.020000
Training Epoch: 8 [33536/47500]	Loss: 0.4512	LR: 0.020000
Training Epoch: 8 [33792/47500]	Loss: 0.3870	LR: 0.020000
Training Epoch: 8 [34048/47500]	Loss: 0.4428	LR: 0.020000
Training Epoch: 8 [34304/47500]	Loss: 0.4427	LR: 0.020000
Training Epoch: 8 [34560/47500]	Loss: 0.4733	LR: 0.020000
Training Epoch: 8 [34816/47500]	Loss: 0.4447	LR: 0.020000
Training Epoch: 8 [35072/47500]	Loss: 0.4225	LR: 0.020000
Training Epoch: 8 [35328/47500]	Loss: 0.4308	LR: 0.020000
Training Epoch: 8 [35584/47500]	Loss: 0.4360	LR: 0.020000
Training Epoch: 8 [35840/47500]	Loss: 0.3965	LR: 0.020000
Training Epoch: 8 [36096/47500]	Loss: 0.4628	LR: 0.020000
Training Epoch: 8 [36352/47500]	Loss: 0.5136	LR: 0.020000
Training Epoch: 8 [36608/47500]	Loss: 0.4666	LR: 0.020000
Training Epoch: 8 [36864/47500]	Loss: 0.4453	LR: 0.020000
Training Epoch: 8 [37120/47500]	Loss: 0.3946	LR: 0.020000
Training Epoch: 8 [37376/47500]	Loss: 0.4388	LR: 0.020000
Training Epoch: 8 [37632/47500]	Loss: 0.4496	LR: 0.020000
Training Epoch: 8 [37888/47500]	Loss: 0.3934	LR: 0.020000
Training Epoch: 8 [38144/47500]	Loss: 0.3676	LR: 0.020000
Training Epoch: 8 [38400/47500]	Loss: 0.4633	LR: 0.020000
Training Epoch: 8 [38656/47500]	Loss: 0.4730	LR: 0.020000
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Training Epoch: 8 [47500/47500]	Loss: 0.3834	LR: 0.020000
Epoch 8 - Average Train Loss: 0.4458, Train Accuracy: 0.8459
Epoch 8 training time consumed: 29.28s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0016, Accuracy: 0.8634, Time consumed:1.02s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_17h_17m_25s/ResNet18-Cifar10-seed10-ret50-8-best.pth
Training Epoch: 9 [256/47500]	Loss: 0.3541	LR: 0.020000
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Training Epoch: 9 [47500/47500]	Loss: 0.3586	LR: 0.020000
Epoch 9 - Average Train Loss: 0.3973, Train Accuracy: 0.8615
Epoch 9 training time consumed: 29.18s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0017, Accuracy: 0.8551, Time consumed:1.01s
Training Epoch: 10 [256/47500]	Loss: 0.3948	LR: 0.020000
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Training Epoch: 10 [15616/47500]	Loss: 0.3491	LR: 0.020000
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Training Epoch: 10 [16128/47500]	Loss: 0.3735	LR: 0.020000
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Training Epoch: 10 [16896/47500]	Loss: 0.3983	LR: 0.020000
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Training Epoch: 10 [22016/47500]	Loss: 0.5560	LR: 0.020000
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Training Epoch: 10 [22528/47500]	Loss: 0.4257	LR: 0.020000
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Training Epoch: 10 [24576/47500]	Loss: 0.3817	LR: 0.020000
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Training Epoch: 10 [32256/47500]	Loss: 0.3615	LR: 0.020000
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Training Epoch: 10 [35328/47500]	Loss: 0.3199	LR: 0.020000
Training Epoch: 10 [35584/47500]	Loss: 0.3468	LR: 0.020000
Training Epoch: 10 [35840/47500]	Loss: 0.3982	LR: 0.020000
Training Epoch: 10 [36096/47500]	Loss: 0.3336	LR: 0.020000
Training Epoch: 10 [36352/47500]	Loss: 0.3997	LR: 0.020000
Training Epoch: 10 [36608/47500]	Loss: 0.4524	LR: 0.020000
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Training Epoch: 10 [37120/47500]	Loss: 0.3937	LR: 0.020000
Training Epoch: 10 [37376/47500]	Loss: 0.3056	LR: 0.020000
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Training Epoch: 10 [37888/47500]	Loss: 0.3036	LR: 0.020000
Training Epoch: 10 [38144/47500]	Loss: 0.4910	LR: 0.020000
Training Epoch: 10 [38400/47500]	Loss: 0.3683	LR: 0.020000
Training Epoch: 10 [38656/47500]	Loss: 0.2855	LR: 0.020000
Training Epoch: 10 [38912/47500]	Loss: 0.3226	LR: 0.020000
Training Epoch: 10 [39168/47500]	Loss: 0.4120	LR: 0.020000
Training Epoch: 10 [39424/47500]	Loss: 0.3592	LR: 0.020000
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Training Epoch: 10 [40192/47500]	Loss: 0.3256	LR: 0.020000
Training Epoch: 10 [40448/47500]	Loss: 0.3732	LR: 0.020000
Training Epoch: 10 [40704/47500]	Loss: 0.2727	LR: 0.020000
Training Epoch: 10 [40960/47500]	Loss: 0.3868	LR: 0.020000
Training Epoch: 10 [41216/47500]	Loss: 0.3547	LR: 0.020000
Training Epoch: 10 [41472/47500]	Loss: 0.4808	LR: 0.020000
Training Epoch: 10 [41728/47500]	Loss: 0.3436	LR: 0.020000
Training Epoch: 10 [41984/47500]	Loss: 0.3088	LR: 0.020000
Training Epoch: 10 [42240/47500]	Loss: 0.3200	LR: 0.020000
Training Epoch: 10 [42496/47500]	Loss: 0.3157	LR: 0.020000
Training Epoch: 10 [42752/47500]	Loss: 0.2560	LR: 0.020000
Training Epoch: 10 [43008/47500]	Loss: 0.3335	LR: 0.020000
Training Epoch: 10 [43264/47500]	Loss: 0.4646	LR: 0.020000
Training Epoch: 10 [43520/47500]	Loss: 0.3319	LR: 0.020000
Training Epoch: 10 [43776/47500]	Loss: 0.4149	LR: 0.020000
Training Epoch: 10 [44032/47500]	Loss: 0.5045	LR: 0.020000
Training Epoch: 10 [44288/47500]	Loss: 0.4369	LR: 0.020000
Training Epoch: 10 [44544/47500]	Loss: 0.3615	LR: 0.020000
Training Epoch: 10 [44800/47500]	Loss: 0.4538	LR: 0.020000
Training Epoch: 10 [45056/47500]	Loss: 0.3971	LR: 0.020000
Training Epoch: 10 [45312/47500]	Loss: 0.2630	LR: 0.020000
Training Epoch: 10 [45568/47500]	Loss: 0.2857	LR: 0.020000
Training Epoch: 10 [45824/47500]	Loss: 0.3612	LR: 0.020000
Training Epoch: 10 [46080/47500]	Loss: 0.4489	LR: 0.020000
Training Epoch: 10 [46336/47500]	Loss: 0.3219	LR: 0.020000
Training Epoch: 10 [46592/47500]	Loss: 0.4293	LR: 0.020000
Training Epoch: 10 [46848/47500]	Loss: 0.4155	LR: 0.020000
Training Epoch: 10 [47104/47500]	Loss: 0.4162	LR: 0.020000
Training Epoch: 10 [47360/47500]	Loss: 0.3357	LR: 0.020000
Training Epoch: 10 [47500/47500]	Loss: 0.5016	LR: 0.020000
Epoch 10 - Average Train Loss: 0.3789, Train Accuracy: 0.8681
Epoch 10 training time consumed: 29.17s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0016, Accuracy: 0.8607, Time consumed:1.05s
Training Epoch: 11 [256/47500]	Loss: 0.2695	LR: 0.020000
Training Epoch: 11 [512/47500]	Loss: 0.3610	LR: 0.020000
Training Epoch: 11 [768/47500]	Loss: 0.3055	LR: 0.020000
Training Epoch: 11 [1024/47500]	Loss: 0.4361	LR: 0.020000
Training Epoch: 11 [1280/47500]	Loss: 0.2764	LR: 0.020000
Training Epoch: 11 [1536/47500]	Loss: 0.3810	LR: 0.020000
Training Epoch: 11 [1792/47500]	Loss: 0.3997	LR: 0.020000
Training Epoch: 11 [2048/47500]	Loss: 0.3605	LR: 0.020000
Training Epoch: 11 [2304/47500]	Loss: 0.4212	LR: 0.020000
Training Epoch: 11 [2560/47500]	Loss: 0.4132	LR: 0.020000
Training Epoch: 11 [2816/47500]	Loss: 0.3187	LR: 0.020000
Training Epoch: 11 [3072/47500]	Loss: 0.4647	LR: 0.020000
Training Epoch: 11 [3328/47500]	Loss: 0.3462	LR: 0.020000
Training Epoch: 11 [3584/47500]	Loss: 0.4065	LR: 0.020000
Training Epoch: 11 [3840/47500]	Loss: 0.3333	LR: 0.020000
Training Epoch: 11 [4096/47500]	Loss: 0.4432	LR: 0.020000
Training Epoch: 11 [4352/47500]	Loss: 0.3256	LR: 0.020000
Training Epoch: 11 [4608/47500]	Loss: 0.3338	LR: 0.020000
Training Epoch: 11 [4864/47500]	Loss: 0.3403	LR: 0.020000
Training Epoch: 11 [5120/47500]	Loss: 0.3143	LR: 0.020000
Training Epoch: 11 [5376/47500]	Loss: 0.3035	LR: 0.020000
Training Epoch: 11 [5632/47500]	Loss: 0.3353	LR: 0.020000
Training Epoch: 11 [5888/47500]	Loss: 0.3813	LR: 0.020000
Training Epoch: 11 [6144/47500]	Loss: 0.4342	LR: 0.020000
Training Epoch: 11 [6400/47500]	Loss: 0.3616	LR: 0.020000
Training Epoch: 11 [6656/47500]	Loss: 0.3498	LR: 0.020000
Training Epoch: 11 [6912/47500]	Loss: 0.3154	LR: 0.020000
Training Epoch: 11 [7168/47500]	Loss: 0.3058	LR: 0.020000
Training Epoch: 11 [7424/47500]	Loss: 0.4633	LR: 0.020000
Training Epoch: 11 [7680/47500]	Loss: 0.3359	LR: 0.020000
Training Epoch: 11 [7936/47500]	Loss: 0.4014	LR: 0.020000
Training Epoch: 11 [8192/47500]	Loss: 0.3050	LR: 0.020000
Training Epoch: 11 [8448/47500]	Loss: 0.3735	LR: 0.020000
Training Epoch: 11 [8704/47500]	Loss: 0.3513	LR: 0.020000
Training Epoch: 11 [8960/47500]	Loss: 0.2855	LR: 0.020000
Training Epoch: 11 [9216/47500]	Loss: 0.3055	LR: 0.020000
Training Epoch: 11 [9472/47500]	Loss: 0.3721	LR: 0.020000
Training Epoch: 11 [9728/47500]	Loss: 0.3561	LR: 0.020000
Training Epoch: 11 [9984/47500]	Loss: 0.3547	LR: 0.020000
Training Epoch: 11 [10240/47500]	Loss: 0.4740	LR: 0.020000
Training Epoch: 11 [10496/47500]	Loss: 0.3513	LR: 0.020000
Training Epoch: 11 [10752/47500]	Loss: 0.3939	LR: 0.020000
Training Epoch: 11 [11008/47500]	Loss: 0.3895	LR: 0.020000
Training Epoch: 11 [11264/47500]	Loss: 0.3446	LR: 0.020000
Training Epoch: 11 [11520/47500]	Loss: 0.3032	LR: 0.020000
Training Epoch: 11 [11776/47500]	Loss: 0.3688	LR: 0.020000
Training Epoch: 11 [12032/47500]	Loss: 0.2285	LR: 0.020000
Training Epoch: 11 [12288/47500]	Loss: 0.3726	LR: 0.020000
Training Epoch: 11 [12544/47500]	Loss: 0.3163	LR: 0.020000
Training Epoch: 11 [12800/47500]	Loss: 0.3509	LR: 0.020000
Training Epoch: 11 [13056/47500]	Loss: 0.3168	LR: 0.020000
Training Epoch: 11 [13312/47500]	Loss: 0.3328	LR: 0.020000
Training Epoch: 11 [13568/47500]	Loss: 0.3234	LR: 0.020000
Training Epoch: 11 [13824/47500]	Loss: 0.3717	LR: 0.020000
Training Epoch: 11 [14080/47500]	Loss: 0.2943	LR: 0.020000
Training Epoch: 11 [14336/47500]	Loss: 0.3755	LR: 0.020000
Training Epoch: 11 [14592/47500]	Loss: 0.3903	LR: 0.020000
Training Epoch: 11 [14848/47500]	Loss: 0.2857	LR: 0.020000
Training Epoch: 11 [15104/47500]	Loss: 0.3868	LR: 0.020000
Training Epoch: 11 [15360/47500]	Loss: 0.3616	LR: 0.020000
Training Epoch: 11 [15616/47500]	Loss: 0.3747	LR: 0.020000
Training Epoch: 11 [15872/47500]	Loss: 0.3620	LR: 0.020000
Training Epoch: 11 [16128/47500]	Loss: 0.3952	LR: 0.020000
Training Epoch: 11 [16384/47500]	Loss: 0.3648	LR: 0.020000
Training Epoch: 11 [16640/47500]	Loss: 0.3304	LR: 0.020000
Training Epoch: 11 [16896/47500]	Loss: 0.3735	LR: 0.020000
Training Epoch: 11 [17152/47500]	Loss: 0.3949	LR: 0.020000
Training Epoch: 11 [17408/47500]	Loss: 0.3842	LR: 0.020000
Training Epoch: 11 [17664/47500]	Loss: 0.4163	LR: 0.020000
Training Epoch: 11 [17920/47500]	Loss: 0.4716	LR: 0.020000
Training Epoch: 11 [18176/47500]	Loss: 0.3352	LR: 0.020000
Training Epoch: 11 [18432/47500]	Loss: 0.3325	LR: 0.020000
Training Epoch: 11 [18688/47500]	Loss: 0.3280	LR: 0.020000
Training Epoch: 11 [18944/47500]	Loss: 0.3298	LR: 0.020000
Training Epoch: 11 [19200/47500]	Loss: 0.3464	LR: 0.020000
Training Epoch: 11 [19456/47500]	Loss: 0.3874	LR: 0.020000
Training Epoch: 11 [19712/47500]	Loss: 0.3449	LR: 0.020000
Training Epoch: 11 [19968/47500]	Loss: 0.3097	LR: 0.020000
Training Epoch: 11 [20224/47500]	Loss: 0.3839	LR: 0.020000
Training Epoch: 11 [20480/47500]	Loss: 0.3209	LR: 0.020000
Training Epoch: 11 [20736/47500]	Loss: 0.2868	LR: 0.020000
Training Epoch: 11 [20992/47500]	Loss: 0.3536	LR: 0.020000
Training Epoch: 11 [21248/47500]	Loss: 0.4109	LR: 0.020000
Training Epoch: 11 [21504/47500]	Loss: 0.3135	LR: 0.020000
Training Epoch: 11 [21760/47500]	Loss: 0.3112	LR: 0.020000
Training Epoch: 11 [22016/47500]	Loss: 0.4519	LR: 0.020000
Training Epoch: 11 [22272/47500]	Loss: 0.3915	LR: 0.020000
Training Epoch: 11 [22528/47500]	Loss: 0.2913	LR: 0.020000
Training Epoch: 11 [22784/47500]	Loss: 0.3429	LR: 0.020000
Training Epoch: 11 [23040/47500]	Loss: 0.3720	LR: 0.020000
Training Epoch: 11 [23296/47500]	Loss: 0.3771	LR: 0.020000
Training Epoch: 11 [23552/47500]	Loss: 0.4558	LR: 0.020000
Training Epoch: 11 [23808/47500]	Loss: 0.4258	LR: 0.020000
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Training Epoch: 11 [24320/47500]	Loss: 0.3201	LR: 0.020000
Training Epoch: 11 [24576/47500]	Loss: 0.3355	LR: 0.020000
Training Epoch: 11 [24832/47500]	Loss: 0.3136	LR: 0.020000
Training Epoch: 11 [25088/47500]	Loss: 0.3146	LR: 0.020000
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Training Epoch: 11 [25600/47500]	Loss: 0.3240	LR: 0.020000
Training Epoch: 11 [25856/47500]	Loss: 0.3715	LR: 0.020000
Training Epoch: 11 [26112/47500]	Loss: 0.3531	LR: 0.020000
Training Epoch: 11 [26368/47500]	Loss: 0.3085	LR: 0.020000
Training Epoch: 11 [26624/47500]	Loss: 0.4402	LR: 0.020000
Training Epoch: 11 [26880/47500]	Loss: 0.4091	LR: 0.020000
Training Epoch: 11 [27136/47500]	Loss: 0.4350	LR: 0.020000
Training Epoch: 11 [27392/47500]	Loss: 0.3466	LR: 0.020000
Training Epoch: 11 [27648/47500]	Loss: 0.3830	LR: 0.020000
Training Epoch: 11 [27904/47500]	Loss: 0.3388	LR: 0.020000
Training Epoch: 11 [28160/47500]	Loss: 0.3137	LR: 0.020000
Training Epoch: 11 [28416/47500]	Loss: 0.3799	LR: 0.020000
Training Epoch: 11 [28672/47500]	Loss: 0.4415	LR: 0.020000
Training Epoch: 11 [28928/47500]	Loss: 0.3518	LR: 0.020000
Training Epoch: 11 [29184/47500]	Loss: 0.3257	LR: 0.020000
Training Epoch: 11 [29440/47500]	Loss: 0.3773	LR: 0.020000
Training Epoch: 11 [29696/47500]	Loss: 0.3627	LR: 0.020000
Training Epoch: 11 [29952/47500]	Loss: 0.4144	LR: 0.020000
Training Epoch: 11 [30208/47500]	Loss: 0.3309	LR: 0.020000
Training Epoch: 11 [30464/47500]	Loss: 0.2709	LR: 0.020000
Training Epoch: 11 [30720/47500]	Loss: 0.3327	LR: 0.020000
Training Epoch: 11 [30976/47500]	Loss: 0.4694	LR: 0.020000
Training Epoch: 11 [31232/47500]	Loss: 0.3512	LR: 0.020000
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Training Epoch: 11 [31744/47500]	Loss: 0.2721	LR: 0.020000
Training Epoch: 11 [32000/47500]	Loss: 0.3931	LR: 0.020000
Training Epoch: 11 [32256/47500]	Loss: 0.2817	LR: 0.020000
Training Epoch: 11 [32512/47500]	Loss: 0.3762	LR: 0.020000
Training Epoch: 11 [32768/47500]	Loss: 0.4012	LR: 0.020000
Training Epoch: 11 [33024/47500]	Loss: 0.3630	LR: 0.020000
Training Epoch: 11 [33280/47500]	Loss: 0.4036	LR: 0.020000
Training Epoch: 11 [33536/47500]	Loss: 0.3927	LR: 0.020000
Training Epoch: 11 [33792/47500]	Loss: 0.3640	LR: 0.020000
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Training Epoch: 11 [34304/47500]	Loss: 0.4238	LR: 0.020000
Training Epoch: 11 [34560/47500]	Loss: 0.3199	LR: 0.020000
Training Epoch: 11 [34816/47500]	Loss: 0.4409	LR: 0.020000
Training Epoch: 11 [35072/47500]	Loss: 0.3090	LR: 0.020000
Training Epoch: 11 [35328/47500]	Loss: 0.3309	LR: 0.020000
Training Epoch: 11 [35584/47500]	Loss: 0.3744	LR: 0.020000
Training Epoch: 11 [35840/47500]	Loss: 0.3088	LR: 0.020000
Training Epoch: 11 [36096/47500]	Loss: 0.3444	LR: 0.020000
Training Epoch: 11 [36352/47500]	Loss: 0.3270	LR: 0.020000
Training Epoch: 11 [36608/47500]	Loss: 0.3003	LR: 0.020000
Training Epoch: 11 [36864/47500]	Loss: 0.4069	LR: 0.020000
Training Epoch: 11 [37120/47500]	Loss: 0.2870	LR: 0.020000
Training Epoch: 11 [37376/47500]	Loss: 0.4220	LR: 0.020000
Training Epoch: 11 [37632/47500]	Loss: 0.3391	LR: 0.020000
Training Epoch: 11 [37888/47500]	Loss: 0.4027	LR: 0.020000
Training Epoch: 11 [38144/47500]	Loss: 0.3043	LR: 0.020000
Training Epoch: 11 [38400/47500]	Loss: 0.3711	LR: 0.020000
Training Epoch: 11 [38656/47500]	Loss: 0.3845	LR: 0.020000
Training Epoch: 11 [38912/47500]	Loss: 0.2784	LR: 0.020000
Training Epoch: 11 [39168/47500]	Loss: 0.4128	LR: 0.020000
Training Epoch: 11 [39424/47500]	Loss: 0.3982	LR: 0.020000
Training Epoch: 11 [39680/47500]	Loss: 0.3858	LR: 0.020000
Training Epoch: 11 [39936/47500]	Loss: 0.3359	LR: 0.020000
Training Epoch: 11 [40192/47500]	Loss: 0.3424	LR: 0.020000
Training Epoch: 11 [40448/47500]	Loss: 0.4488	LR: 0.020000
Training Epoch: 11 [40704/47500]	Loss: 0.3647	LR: 0.020000
Training Epoch: 11 [40960/47500]	Loss: 0.3293	LR: 0.020000
Training Epoch: 11 [41216/47500]	Loss: 0.3798	LR: 0.020000
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Training Epoch: 11 [41728/47500]	Loss: 0.3886	LR: 0.020000
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Training Epoch: 11 [47360/47500]	Loss: 0.3682	LR: 0.020000
Training Epoch: 11 [47500/47500]	Loss: 0.2420	LR: 0.020000
Epoch 11 - Average Train Loss: 0.3598, Train Accuracy: 0.8760
Epoch 11 training time consumed: 29.24s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0015, Accuracy: 0.8709, Time consumed:1.01s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_17h_17m_25s/ResNet18-Cifar10-seed10-ret50-11-best.pth
Training Epoch: 12 [256/47500]	Loss: 0.3713	LR: 0.004000
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Training Epoch: 12 [47360/47500]	Loss: 0.3206	LR: 0.004000
Training Epoch: 12 [47500/47500]	Loss: 0.3376	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3136, Train Accuracy: 0.8907
Epoch 12 training time consumed: 29.20s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0014, Accuracy: 0.8835, Time consumed:1.02s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_17h_17m_25s/ResNet18-Cifar10-seed10-ret50-12-best.pth
Training Epoch: 13 [256/47500]	Loss: 0.3380	LR: 0.004000
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Training Epoch: 13 [47500/47500]	Loss: 0.2873	LR: 0.004000
Epoch 13 - Average Train Loss: 0.2990, Train Accuracy: 0.8957
Epoch 13 training time consumed: 29.11s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0013, Accuracy: 0.8869, Time consumed:1.09s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_17h_17m_25s/ResNet18-Cifar10-seed10-ret50-13-best.pth
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Training Epoch: 14 [47360/47500]	Loss: 0.3229	LR: 0.004000
Training Epoch: 14 [47500/47500]	Loss: 0.3753	LR: 0.004000
Epoch 14 - Average Train Loss: 0.2925, Train Accuracy: 0.8984
Epoch 14 training time consumed: 29.24s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0013, Accuracy: 0.8874, Time consumed:1.02s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_17h_17m_25s/ResNet18-Cifar10-seed10-ret50-14-best.pth
Training Epoch: 15 [256/47500]	Loss: 0.2720	LR: 0.004000
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Training Epoch: 15 [47500/47500]	Loss: 0.2431	LR: 0.004000
Epoch 15 - Average Train Loss: 0.2859, Train Accuracy: 0.9004
Epoch 15 training time consumed: 29.33s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0013, Accuracy: 0.8868, Time consumed:1.00s
Training Epoch: 16 [256/47500]	Loss: 0.2858	LR: 0.000800
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Training Epoch: 16 [47500/47500]	Loss: 0.2773	LR: 0.000800
Epoch 16 - Average Train Loss: 0.2731, Train Accuracy: 0.9050
Epoch 16 training time consumed: 29.26s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0013, Accuracy: 0.8892, Time consumed:1.10s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_17h_17m_25s/ResNet18-Cifar10-seed10-ret50-16-best.pth
Training Epoch: 17 [256/47500]	Loss: 0.2845	LR: 0.000800
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Training Epoch: 17 [46848/47500]	Loss: 0.2181	LR: 0.000800
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Training Epoch: 17 [47360/47500]	Loss: 0.2606	LR: 0.000800
Training Epoch: 17 [47500/47500]	Loss: 0.2147	LR: 0.000800
Epoch 17 - Average Train Loss: 0.2681, Train Accuracy: 0.9064
Epoch 17 training time consumed: 29.26s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0013, Accuracy: 0.8911, Time consumed:1.00s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_17h_17m_25s/ResNet18-Cifar10-seed10-ret50-17-best.pth
Training Epoch: 18 [256/47500]	Loss: 0.2813	LR: 0.000800
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Training Epoch: 18 [47360/47500]	Loss: 0.2555	LR: 0.000800
Training Epoch: 18 [47500/47500]	Loss: 0.2284	LR: 0.000800
Epoch 18 - Average Train Loss: 0.2675, Train Accuracy: 0.9084
Epoch 18 training time consumed: 29.40s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0013, Accuracy: 0.8911, Time consumed:1.01s
Training Epoch: 19 [256/47500]	Loss: 0.3517	LR: 0.000800
Training Epoch: 19 [512/47500]	Loss: 0.2643	LR: 0.000800
Training Epoch: 19 [768/47500]	Loss: 0.2846	LR: 0.000800
Training Epoch: 19 [1024/47500]	Loss: 0.3257	LR: 0.000800
Training Epoch: 19 [1280/47500]	Loss: 0.2732	LR: 0.000800
Training Epoch: 19 [1536/47500]	Loss: 0.3163	LR: 0.000800
Training Epoch: 19 [1792/47500]	Loss: 0.2034	LR: 0.000800
Training Epoch: 19 [2048/47500]	Loss: 0.2574	LR: 0.000800
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Training Epoch: 19 [2560/47500]	Loss: 0.3052	LR: 0.000800
Training Epoch: 19 [2816/47500]	Loss: 0.2300	LR: 0.000800
Training Epoch: 19 [3072/47500]	Loss: 0.2108	LR: 0.000800
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Training Epoch: 19 [3584/47500]	Loss: 0.3290	LR: 0.000800
Training Epoch: 19 [3840/47500]	Loss: 0.2111	LR: 0.000800
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Training Epoch: 19 [4608/47500]	Loss: 0.2642	LR: 0.000800
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Training Epoch: 19 [24064/47500]	Loss: 0.2077	LR: 0.000800
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Training Epoch: 19 [47360/47500]	Loss: 0.2345	LR: 0.000800
Training Epoch: 19 [47500/47500]	Loss: 0.3405	LR: 0.000800
Epoch 19 - Average Train Loss: 0.2663, Train Accuracy: 0.9090
Epoch 19 training time consumed: 29.37s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0013, Accuracy: 0.8913, Time consumed:0.99s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_17h_17m_25s/ResNet18-Cifar10-seed10-ret50-19-best.pth
Training Epoch: 20 [256/47500]	Loss: 0.2415	LR: 0.000800
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Training Epoch: 20 [47360/47500]	Loss: 0.2870	LR: 0.000800
Training Epoch: 20 [47500/47500]	Loss: 0.2516	LR: 0.000800
Epoch 20 - Average Train Loss: 0.2624, Train Accuracy: 0.9089
Epoch 20 training time consumed: 29.31s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0013, Accuracy: 0.8911, Time consumed:0.99s
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: 0.7620
Set1 Distribution: 2500 samples
Set2 Distribution: 2500 samples
MIA Attack Accuracy with XGBoost: 0.5100
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
MIA Attack Accuracy with XGBoost: 0.6640
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
MIA Attack Accuracy with XGBoost: 0.5105
Test Accuracy: 91.552734375
Retain Accuracy: 94.03495788574219
Zero-Retain Forget (ZRF): 0.8248452544212341
Membership Inference Attack (MIA): 0.6884
Forget vs Retain Membership Inference Attack (MIA): 0.762
Forget vs Test Membership Inference Attack (MIA): 0.51
Test vs Retain Membership Inference Attack (MIA): 0.664
Train vs Test Membership Inference Attack (MIA): 0.5105
Forget Set Accuracy (Df): 94.24903869628906
Method Execution Time: 2512.62 seconds
