hello
hello

📌 Retain class distribution for seed 4:
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 4:
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
hello
hello
⚠️ Warning: Retain train loader may not be shuffled.
Training Epoch: 1 [256/47500]	Loss: 2.3151	LR: 0.000000
Training Epoch: 1 [512/47500]	Loss: 2.3233	LR: 0.000538
Training Epoch: 1 [768/47500]	Loss: 2.3081	LR: 0.001075
Training Epoch: 1 [1024/47500]	Loss: 2.2984	LR: 0.001613
Training Epoch: 1 [1280/47500]	Loss: 2.2947	LR: 0.002151
Training Epoch: 1 [1536/47500]	Loss: 2.2857	LR: 0.002688
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Training Epoch: 1 [2048/47500]	Loss: 2.2174	LR: 0.003763
Training Epoch: 1 [2304/47500]	Loss: 2.2804	LR: 0.004301
Training Epoch: 1 [2560/47500]	Loss: 2.1604	LR: 0.004839
Training Epoch: 1 [2816/47500]	Loss: 2.2018	LR: 0.005376
Training Epoch: 1 [3072/47500]	Loss: 2.1362	LR: 0.005914
Training Epoch: 1 [3328/47500]	Loss: 2.2057	LR: 0.006452
Training Epoch: 1 [3584/47500]	Loss: 2.1864	LR: 0.006989
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Training Epoch: 1 [9472/47500]	Loss: 1.7917	LR: 0.019355
Training Epoch: 1 [9728/47500]	Loss: 1.7808	LR: 0.019892
Training Epoch: 1 [9984/47500]	Loss: 1.7759	LR: 0.020430
Training Epoch: 1 [10240/47500]	Loss: 1.9148	LR: 0.020968
Training Epoch: 1 [10496/47500]	Loss: 1.6955	LR: 0.021505
Training Epoch: 1 [10752/47500]	Loss: 1.9188	LR: 0.022043
Training Epoch: 1 [11008/47500]	Loss: 1.9356	LR: 0.022581
Training Epoch: 1 [11264/47500]	Loss: 1.8260	LR: 0.023118
Training Epoch: 1 [11520/47500]	Loss: 1.7847	LR: 0.023656
Training Epoch: 1 [11776/47500]	Loss: 1.7953	LR: 0.024194
Training Epoch: 1 [12032/47500]	Loss: 1.7084	LR: 0.024731
Training Epoch: 1 [12288/47500]	Loss: 1.7854	LR: 0.025269
Training Epoch: 1 [12544/47500]	Loss: 1.6861	LR: 0.025806
Training Epoch: 1 [12800/47500]	Loss: 1.8086	LR: 0.026344
Training Epoch: 1 [13056/47500]	Loss: 1.6615	LR: 0.026882
Training Epoch: 1 [13312/47500]	Loss: 1.7170	LR: 0.027419
Training Epoch: 1 [13568/47500]	Loss: 1.8459	LR: 0.027957
Training Epoch: 1 [13824/47500]	Loss: 1.7078	LR: 0.028495
Training Epoch: 1 [14080/47500]	Loss: 1.7383	LR: 0.029032
Training Epoch: 1 [14336/47500]	Loss: 1.8895	LR: 0.029570
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Training Epoch: 1 [15872/47500]	Loss: 1.6885	LR: 0.032796
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Training Epoch: 1 [16384/47500]	Loss: 1.8141	LR: 0.033871
Training Epoch: 1 [16640/47500]	Loss: 1.6638	LR: 0.034409
Training Epoch: 1 [16896/47500]	Loss: 1.7282	LR: 0.034946
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Training Epoch: 1 [18688/47500]	Loss: 1.8484	LR: 0.038710
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Training Epoch: 1 [20480/47500]	Loss: 1.5234	LR: 0.042473
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Training Epoch: 1 [22016/47500]	Loss: 1.5326	LR: 0.045699
Training Epoch: 1 [22272/47500]	Loss: 1.5488	LR: 0.046237
Training Epoch: 1 [22528/47500]	Loss: 1.5357	LR: 0.046774
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Training Epoch: 1 [23552/47500]	Loss: 1.6012	LR: 0.048925
Training Epoch: 1 [23808/47500]	Loss: 1.5874	LR: 0.049462
Training Epoch: 1 [24064/47500]	Loss: 1.7773	LR: 0.050000
Training Epoch: 1 [24320/47500]	Loss: 1.7920	LR: 0.050538
Training Epoch: 1 [24576/47500]	Loss: 1.5883	LR: 0.051075
Training Epoch: 1 [24832/47500]	Loss: 1.6237	LR: 0.051613
Training Epoch: 1 [25088/47500]	Loss: 1.8756	LR: 0.052151
Training Epoch: 1 [25344/47500]	Loss: 1.7750	LR: 0.052688
Training Epoch: 1 [25600/47500]	Loss: 1.7708	LR: 0.053226
Training Epoch: 1 [25856/47500]	Loss: 1.5884	LR: 0.053763
Training Epoch: 1 [26112/47500]	Loss: 1.5301	LR: 0.054301
Training Epoch: 1 [26368/47500]	Loss: 1.6176	LR: 0.054839
Training Epoch: 1 [26624/47500]	Loss: 1.5053	LR: 0.055376
Training Epoch: 1 [26880/47500]	Loss: 1.6587	LR: 0.055914
Training Epoch: 1 [27136/47500]	Loss: 1.7755	LR: 0.056452
Training Epoch: 1 [27392/47500]	Loss: 1.6772	LR: 0.056989
Training Epoch: 1 [27648/47500]	Loss: 1.6985	LR: 0.057527
Training Epoch: 1 [27904/47500]	Loss: 1.7807	LR: 0.058065
Training Epoch: 1 [28160/47500]	Loss: 1.6205	LR: 0.058602
Training Epoch: 1 [28416/47500]	Loss: 1.6382	LR: 0.059140
Training Epoch: 1 [28672/47500]	Loss: 1.6123	LR: 0.059677
Training Epoch: 1 [28928/47500]	Loss: 1.5198	LR: 0.060215
Training Epoch: 1 [29184/47500]	Loss: 1.6763	LR: 0.060753
Training Epoch: 1 [29440/47500]	Loss: 1.6419	LR: 0.061290
Training Epoch: 1 [29696/47500]	Loss: 1.5620	LR: 0.061828
Training Epoch: 1 [29952/47500]	Loss: 1.5761	LR: 0.062366
Training Epoch: 1 [30208/47500]	Loss: 1.5842	LR: 0.062903
Training Epoch: 1 [30464/47500]	Loss: 1.6654	LR: 0.063441
Training Epoch: 1 [30720/47500]	Loss: 1.5238	LR: 0.063978
Training Epoch: 1 [30976/47500]	Loss: 1.5194	LR: 0.064516
Training Epoch: 1 [31232/47500]	Loss: 1.4746	LR: 0.065054
Training Epoch: 1 [31488/47500]	Loss: 1.5369	LR: 0.065591
Training Epoch: 1 [31744/47500]	Loss: 1.4772	LR: 0.066129
Training Epoch: 1 [32000/47500]	Loss: 1.6143	LR: 0.066667
Training Epoch: 1 [32256/47500]	Loss: 1.5030	LR: 0.067204
Training Epoch: 1 [32512/47500]	Loss: 1.4552	LR: 0.067742
Training Epoch: 1 [32768/47500]	Loss: 1.4682	LR: 0.068280
Training Epoch: 1 [33024/47500]	Loss: 1.4822	LR: 0.068817
Training Epoch: 1 [33280/47500]	Loss: 1.5577	LR: 0.069355
Training Epoch: 1 [33536/47500]	Loss: 1.5568	LR: 0.069892
Training Epoch: 1 [33792/47500]	Loss: 1.5118	LR: 0.070430
Training Epoch: 1 [34048/47500]	Loss: 1.5087	LR: 0.070968
Training Epoch: 1 [34304/47500]	Loss: 1.5432	LR: 0.071505
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Training Epoch: 1 [34816/47500]	Loss: 1.4223	LR: 0.072581
Training Epoch: 1 [35072/47500]	Loss: 1.6634	LR: 0.073118
Training Epoch: 1 [35328/47500]	Loss: 1.5260	LR: 0.073656
Training Epoch: 1 [35584/47500]	Loss: 1.5151	LR: 0.074194
Training Epoch: 1 [35840/47500]	Loss: 1.4162	LR: 0.074731
Training Epoch: 1 [36096/47500]	Loss: 1.6750	LR: 0.075269
Training Epoch: 1 [36352/47500]	Loss: 1.6178	LR: 0.075806
Training Epoch: 1 [36608/47500]	Loss: 1.4937	LR: 0.076344
Training Epoch: 1 [36864/47500]	Loss: 1.7174	LR: 0.076882
Training Epoch: 1 [37120/47500]	Loss: 1.6677	LR: 0.077419
Training Epoch: 1 [37376/47500]	Loss: 1.5526	LR: 0.077957
Training Epoch: 1 [37632/47500]	Loss: 1.6229	LR: 0.078495
Training Epoch: 1 [37888/47500]	Loss: 1.4863	LR: 0.079032
Training Epoch: 1 [38144/47500]	Loss: 1.4759	LR: 0.079570
Training Epoch: 1 [38400/47500]	Loss: 1.5261	LR: 0.080108
Training Epoch: 1 [38656/47500]	Loss: 1.5129	LR: 0.080645
Training Epoch: 1 [38912/47500]	Loss: 1.4254	LR: 0.081183
Training Epoch: 1 [39168/47500]	Loss: 1.4922	LR: 0.081720
Training Epoch: 1 [39424/47500]	Loss: 1.5982	LR: 0.082258
Training Epoch: 1 [39680/47500]	Loss: 1.5975	LR: 0.082796
Training Epoch: 1 [39936/47500]	Loss: 1.4130	LR: 0.083333
Training Epoch: 1 [40192/47500]	Loss: 1.5261	LR: 0.083871
Training Epoch: 1 [40448/47500]	Loss: 1.4082	LR: 0.084409
Training Epoch: 1 [40704/47500]	Loss: 1.4701	LR: 0.084946
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Training Epoch: 1 [41216/47500]	Loss: 1.6209	LR: 0.086022
Training Epoch: 1 [41472/47500]	Loss: 1.4706	LR: 0.086559
Training Epoch: 1 [41728/47500]	Loss: 1.3509	LR: 0.087097
Training Epoch: 1 [41984/47500]	Loss: 1.4222	LR: 0.087634
Training Epoch: 1 [42240/47500]	Loss: 1.4058	LR: 0.088172
Training Epoch: 1 [42496/47500]	Loss: 1.2902	LR: 0.088710
Training Epoch: 1 [42752/47500]	Loss: 1.3907	LR: 0.089247
Training Epoch: 1 [43008/47500]	Loss: 1.4374	LR: 0.089785
Training Epoch: 1 [43264/47500]	Loss: 1.4306	LR: 0.090323
Training Epoch: 1 [43520/47500]	Loss: 1.6156	LR: 0.090860
Training Epoch: 1 [43776/47500]	Loss: 1.4740	LR: 0.091398
Training Epoch: 1 [44032/47500]	Loss: 1.3430	LR: 0.091935
Training Epoch: 1 [44288/47500]	Loss: 1.4027	LR: 0.092473
Training Epoch: 1 [44544/47500]	Loss: 1.2873	LR: 0.093011
Training Epoch: 1 [44800/47500]	Loss: 1.3956	LR: 0.093548
Training Epoch: 1 [45056/47500]	Loss: 1.2974	LR: 0.094086
Training Epoch: 1 [45312/47500]	Loss: 1.6486	LR: 0.094624
Training Epoch: 1 [45568/47500]	Loss: 1.3888	LR: 0.095161
Training Epoch: 1 [45824/47500]	Loss: 1.3735	LR: 0.095699
Training Epoch: 1 [46080/47500]	Loss: 1.4279	LR: 0.096237
Training Epoch: 1 [46336/47500]	Loss: 1.2930	LR: 0.096774
Training Epoch: 1 [46592/47500]	Loss: 1.3131	LR: 0.097312
Training Epoch: 1 [46848/47500]	Loss: 1.3651	LR: 0.097849
Training Epoch: 1 [47104/47500]	Loss: 1.3467	LR: 0.098387
Training Epoch: 1 [47360/47500]	Loss: 1.3750	LR: 0.098925
Training Epoch: 1 [47500/47500]	Loss: 1.1944	LR: 0.099462
Epoch 1 - Average Train Loss: 1.6814, Train Accuracy: 0.3871
Epoch 1 training time consumed: 29.51s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0058, Accuracy: 0.5024, Time consumed:1.05s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_10h_35m_16s/ResNet18-Cifar10-seed4-ret50-1-best.pth
Training Epoch: 2 [256/47500]	Loss: 1.4021	LR: 0.100000
Training Epoch: 2 [512/47500]	Loss: 1.3821	LR: 0.100000
Training Epoch: 2 [768/47500]	Loss: 1.3595	LR: 0.100000
Training Epoch: 2 [1024/47500]	Loss: 1.3753	LR: 0.100000
Training Epoch: 2 [1280/47500]	Loss: 1.4917	LR: 0.100000
Training Epoch: 2 [1536/47500]	Loss: 1.3495	LR: 0.100000
Training Epoch: 2 [1792/47500]	Loss: 1.5143	LR: 0.100000
Training Epoch: 2 [2048/47500]	Loss: 1.3937	LR: 0.100000
Training Epoch: 2 [2304/47500]	Loss: 1.4395	LR: 0.100000
Training Epoch: 2 [2560/47500]	Loss: 1.5878	LR: 0.100000
Training Epoch: 2 [2816/47500]	Loss: 1.5847	LR: 0.100000
Training Epoch: 2 [3072/47500]	Loss: 1.3467	LR: 0.100000
Training Epoch: 2 [3328/47500]	Loss: 1.2879	LR: 0.100000
Training Epoch: 2 [3584/47500]	Loss: 1.3825	LR: 0.100000
Training Epoch: 2 [3840/47500]	Loss: 1.3595	LR: 0.100000
Training Epoch: 2 [4096/47500]	Loss: 1.3329	LR: 0.100000
Training Epoch: 2 [4352/47500]	Loss: 1.4799	LR: 0.100000
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Training Epoch: 2 [22528/47500]	Loss: 1.2948	LR: 0.100000
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Training Epoch: 2 [47360/47500]	Loss: 1.0471	LR: 0.100000
Training Epoch: 2 [47500/47500]	Loss: 0.9493	LR: 0.100000
Epoch 2 - Average Train Loss: 1.1836, Train Accuracy: 0.5794
Epoch 2 training time consumed: 28.53s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0044, Accuracy: 0.6274, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_10h_35m_16s/ResNet18-Cifar10-seed4-ret50-2-best.pth
Training Epoch: 3 [256/47500]	Loss: 1.0151	LR: 0.100000
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Training Epoch: 3 [47500/47500]	Loss: 0.7974	LR: 0.100000
Epoch 3 - Average Train Loss: 0.9307, Train Accuracy: 0.6713
Epoch 3 training time consumed: 28.70s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0042, Accuracy: 0.6553, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_10h_35m_16s/ResNet18-Cifar10-seed4-ret50-3-best.pth
Training Epoch: 4 [256/47500]	Loss: 0.8425	LR: 0.100000
Training Epoch: 4 [512/47500]	Loss: 0.7002	LR: 0.100000
Training Epoch: 4 [768/47500]	Loss: 0.8441	LR: 0.100000
Training Epoch: 4 [1024/47500]	Loss: 0.8810	LR: 0.100000
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Epoch 4 - Average Train Loss: 0.7964, Train Accuracy: 0.7200
Epoch 4 training time consumed: 28.59s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0038, Accuracy: 0.7015, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_10h_35m_16s/ResNet18-Cifar10-seed4-ret50-4-best.pth
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Training Epoch: 5 [47500/47500]	Loss: 0.6560	LR: 0.100000
Epoch 5 - Average Train Loss: 0.6983, Train Accuracy: 0.7573
Epoch 5 training time consumed: 28.53s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0032, Accuracy: 0.7381, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_10h_35m_16s/ResNet18-Cifar10-seed4-ret50-5-best.pth
Training Epoch: 6 [256/47500]	Loss: 0.7271	LR: 0.100000
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Epoch 6 - Average Train Loss: 0.6440, Train Accuracy: 0.7759
Epoch 6 training time consumed: 28.85s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0026, Accuracy: 0.7791, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_10h_35m_16s/ResNet18-Cifar10-seed4-ret50-6-best.pth
Training Epoch: 7 [256/47500]	Loss: 0.6497	LR: 0.100000
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Training Epoch: 7 [10240/47500]	Loss: 0.6368	LR: 0.100000
Training Epoch: 7 [10496/47500]	Loss: 0.6188	LR: 0.100000
Training Epoch: 7 [10752/47500]	Loss: 0.5944	LR: 0.100000
Training Epoch: 7 [11008/47500]	Loss: 0.5547	LR: 0.100000
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Training Epoch: 7 [11520/47500]	Loss: 0.6087	LR: 0.100000
Training Epoch: 7 [11776/47500]	Loss: 0.5701	LR: 0.100000
Training Epoch: 7 [12032/47500]	Loss: 0.5937	LR: 0.100000
Training Epoch: 7 [12288/47500]	Loss: 0.5126	LR: 0.100000
Training Epoch: 7 [12544/47500]	Loss: 0.5551	LR: 0.100000
Training Epoch: 7 [12800/47500]	Loss: 0.5731	LR: 0.100000
Training Epoch: 7 [13056/47500]	Loss: 0.6343	LR: 0.100000
Training Epoch: 7 [13312/47500]	Loss: 0.6300	LR: 0.100000
Training Epoch: 7 [13568/47500]	Loss: 0.5703	LR: 0.100000
Training Epoch: 7 [13824/47500]	Loss: 0.6444	LR: 0.100000
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Training Epoch: 7 [14592/47500]	Loss: 0.6315	LR: 0.100000
Training Epoch: 7 [14848/47500]	Loss: 0.5253	LR: 0.100000
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Training Epoch: 7 [16128/47500]	Loss: 0.5440	LR: 0.100000
Training Epoch: 7 [16384/47500]	Loss: 0.5471	LR: 0.100000
Training Epoch: 7 [16640/47500]	Loss: 0.5360	LR: 0.100000
Training Epoch: 7 [16896/47500]	Loss: 0.6184	LR: 0.100000
Training Epoch: 7 [17152/47500]	Loss: 0.5344	LR: 0.100000
Training Epoch: 7 [17408/47500]	Loss: 0.6963	LR: 0.100000
Training Epoch: 7 [17664/47500]	Loss: 0.6223	LR: 0.100000
Training Epoch: 7 [17920/47500]	Loss: 0.6426	LR: 0.100000
Training Epoch: 7 [18176/47500]	Loss: 0.5620	LR: 0.100000
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Training Epoch: 7 [18944/47500]	Loss: 0.6014	LR: 0.100000
Training Epoch: 7 [19200/47500]	Loss: 0.5157	LR: 0.100000
Training Epoch: 7 [19456/47500]	Loss: 0.5342	LR: 0.100000
Training Epoch: 7 [19712/47500]	Loss: 0.5828	LR: 0.100000
Training Epoch: 7 [19968/47500]	Loss: 0.4991	LR: 0.100000
Training Epoch: 7 [20224/47500]	Loss: 0.6921	LR: 0.100000
Training Epoch: 7 [20480/47500]	Loss: 0.6573	LR: 0.100000
Training Epoch: 7 [20736/47500]	Loss: 0.4948	LR: 0.100000
Training Epoch: 7 [20992/47500]	Loss: 0.5471	LR: 0.100000
Training Epoch: 7 [21248/47500]	Loss: 0.6646	LR: 0.100000
Training Epoch: 7 [21504/47500]	Loss: 0.6970	LR: 0.100000
Training Epoch: 7 [21760/47500]	Loss: 0.4797	LR: 0.100000
Training Epoch: 7 [22016/47500]	Loss: 0.5664	LR: 0.100000
Training Epoch: 7 [22272/47500]	Loss: 0.4662	LR: 0.100000
Training Epoch: 7 [22528/47500]	Loss: 0.6487	LR: 0.100000
Training Epoch: 7 [22784/47500]	Loss: 0.5465	LR: 0.100000
Training Epoch: 7 [23040/47500]	Loss: 0.5326	LR: 0.100000
Training Epoch: 7 [23296/47500]	Loss: 0.5881	LR: 0.100000
Training Epoch: 7 [23552/47500]	Loss: 0.5854	LR: 0.100000
Training Epoch: 7 [23808/47500]	Loss: 0.6238	LR: 0.100000
Training Epoch: 7 [24064/47500]	Loss: 0.5524	LR: 0.100000
Training Epoch: 7 [24320/47500]	Loss: 0.5697	LR: 0.100000
Training Epoch: 7 [24576/47500]	Loss: 0.6111	LR: 0.100000
Training Epoch: 7 [24832/47500]	Loss: 0.6955	LR: 0.100000
Training Epoch: 7 [25088/47500]	Loss: 0.7393	LR: 0.100000
Training Epoch: 7 [25344/47500]	Loss: 0.6211	LR: 0.100000
Training Epoch: 7 [25600/47500]	Loss: 0.5176	LR: 0.100000
Training Epoch: 7 [25856/47500]	Loss: 0.6530	LR: 0.100000
Training Epoch: 7 [26112/47500]	Loss: 0.6009	LR: 0.100000
Training Epoch: 7 [26368/47500]	Loss: 0.5911	LR: 0.100000
Training Epoch: 7 [26624/47500]	Loss: 0.5479	LR: 0.100000
Training Epoch: 7 [26880/47500]	Loss: 0.5533	LR: 0.100000
Training Epoch: 7 [27136/47500]	Loss: 0.6490	LR: 0.100000
Training Epoch: 7 [27392/47500]	Loss: 0.6509	LR: 0.100000
Training Epoch: 7 [27648/47500]	Loss: 0.5908	LR: 0.100000
Training Epoch: 7 [27904/47500]	Loss: 0.6180	LR: 0.100000
Training Epoch: 7 [28160/47500]	Loss: 0.6667	LR: 0.100000
Training Epoch: 7 [28416/47500]	Loss: 0.5561	LR: 0.100000
Training Epoch: 7 [28672/47500]	Loss: 0.5014	LR: 0.100000
Training Epoch: 7 [28928/47500]	Loss: 0.4858	LR: 0.100000
Training Epoch: 7 [29184/47500]	Loss: 0.5937	LR: 0.100000
Training Epoch: 7 [29440/47500]	Loss: 0.6113	LR: 0.100000
Training Epoch: 7 [29696/47500]	Loss: 0.6179	LR: 0.100000
Training Epoch: 7 [29952/47500]	Loss: 0.7168	LR: 0.100000
Training Epoch: 7 [30208/47500]	Loss: 0.6447	LR: 0.100000
Training Epoch: 7 [30464/47500]	Loss: 0.7270	LR: 0.100000
Training Epoch: 7 [30720/47500]	Loss: 0.5183	LR: 0.100000
Training Epoch: 7 [30976/47500]	Loss: 0.5538	LR: 0.100000
Training Epoch: 7 [31232/47500]	Loss: 0.6082	LR: 0.100000
Training Epoch: 7 [31488/47500]	Loss: 0.6508	LR: 0.100000
Training Epoch: 7 [31744/47500]	Loss: 0.6393	LR: 0.100000
Training Epoch: 7 [32000/47500]	Loss: 0.5978	LR: 0.100000
Training Epoch: 7 [32256/47500]	Loss: 0.5526	LR: 0.100000
Training Epoch: 7 [32512/47500]	Loss: 0.5262	LR: 0.100000
Training Epoch: 7 [32768/47500]	Loss: 0.6977	LR: 0.100000
Training Epoch: 7 [33024/47500]	Loss: 0.6099	LR: 0.100000
Training Epoch: 7 [33280/47500]	Loss: 0.5153	LR: 0.100000
Training Epoch: 7 [33536/47500]	Loss: 0.8614	LR: 0.100000
Training Epoch: 7 [33792/47500]	Loss: 0.5582	LR: 0.100000
Training Epoch: 7 [34048/47500]	Loss: 0.6259	LR: 0.100000
Training Epoch: 7 [34304/47500]	Loss: 0.4367	LR: 0.100000
Training Epoch: 7 [34560/47500]	Loss: 0.6248	LR: 0.100000
Training Epoch: 7 [34816/47500]	Loss: 0.6324	LR: 0.100000
Training Epoch: 7 [35072/47500]	Loss: 0.6663	LR: 0.100000
Training Epoch: 7 [35328/47500]	Loss: 0.5081	LR: 0.100000
Training Epoch: 7 [35584/47500]	Loss: 0.6295	LR: 0.100000
Training Epoch: 7 [35840/47500]	Loss: 0.5140	LR: 0.100000
Training Epoch: 7 [36096/47500]	Loss: 0.5835	LR: 0.100000
Training Epoch: 7 [36352/47500]	Loss: 0.5582	LR: 0.100000
Training Epoch: 7 [36608/47500]	Loss: 0.6568	LR: 0.100000
Training Epoch: 7 [36864/47500]	Loss: 0.5521	LR: 0.100000
Training Epoch: 7 [37120/47500]	Loss: 0.5552	LR: 0.100000
Training Epoch: 7 [37376/47500]	Loss: 0.5056	LR: 0.100000
Training Epoch: 7 [37632/47500]	Loss: 0.5654	LR: 0.100000
Training Epoch: 7 [37888/47500]	Loss: 0.5832	LR: 0.100000
Training Epoch: 7 [38144/47500]	Loss: 0.5345	LR: 0.100000
Training Epoch: 7 [38400/47500]	Loss: 0.5712	LR: 0.100000
Training Epoch: 7 [38656/47500]	Loss: 0.6748	LR: 0.100000
Training Epoch: 7 [38912/47500]	Loss: 0.6202	LR: 0.100000
Training Epoch: 7 [39168/47500]	Loss: 0.5649	LR: 0.100000
Training Epoch: 7 [39424/47500]	Loss: 0.6337	LR: 0.100000
Training Epoch: 7 [39680/47500]	Loss: 0.5876	LR: 0.100000
Training Epoch: 7 [39936/47500]	Loss: 0.5453	LR: 0.100000
Training Epoch: 7 [40192/47500]	Loss: 0.5514	LR: 0.100000
Training Epoch: 7 [40448/47500]	Loss: 0.6516	LR: 0.100000
Training Epoch: 7 [40704/47500]	Loss: 0.6540	LR: 0.100000
Training Epoch: 7 [40960/47500]	Loss: 0.5373	LR: 0.100000
Training Epoch: 7 [41216/47500]	Loss: 0.6303	LR: 0.100000
Training Epoch: 7 [41472/47500]	Loss: 0.5830	LR: 0.100000
Training Epoch: 7 [41728/47500]	Loss: 0.5617	LR: 0.100000
Training Epoch: 7 [41984/47500]	Loss: 0.4733	LR: 0.100000
Training Epoch: 7 [42240/47500]	Loss: 0.5801	LR: 0.100000
Training Epoch: 7 [42496/47500]	Loss: 0.6336	LR: 0.100000
Training Epoch: 7 [42752/47500]	Loss: 0.5994	LR: 0.100000
Training Epoch: 7 [43008/47500]	Loss: 0.5467	LR: 0.100000
Training Epoch: 7 [43264/47500]	Loss: 0.6745	LR: 0.100000
Training Epoch: 7 [43520/47500]	Loss: 0.5491	LR: 0.100000
Training Epoch: 7 [43776/47500]	Loss: 0.5297	LR: 0.100000
Training Epoch: 7 [44032/47500]	Loss: 0.5693	LR: 0.100000
Training Epoch: 7 [44288/47500]	Loss: 0.5847	LR: 0.100000
Training Epoch: 7 [44544/47500]	Loss: 0.5737	LR: 0.100000
Training Epoch: 7 [44800/47500]	Loss: 0.5548	LR: 0.100000
Training Epoch: 7 [45056/47500]	Loss: 0.5535	LR: 0.100000
Training Epoch: 7 [45312/47500]	Loss: 0.5978	LR: 0.100000
Training Epoch: 7 [45568/47500]	Loss: 0.5282	LR: 0.100000
Training Epoch: 7 [45824/47500]	Loss: 0.4454	LR: 0.100000
Training Epoch: 7 [46080/47500]	Loss: 0.5352	LR: 0.100000
Training Epoch: 7 [46336/47500]	Loss: 0.5751	LR: 0.100000
Training Epoch: 7 [46592/47500]	Loss: 0.6066	LR: 0.100000
Training Epoch: 7 [46848/47500]	Loss: 0.5668	LR: 0.100000
Training Epoch: 7 [47104/47500]	Loss: 0.5188	LR: 0.100000
Training Epoch: 7 [47360/47500]	Loss: 0.6053	LR: 0.100000
Training Epoch: 7 [47500/47500]	Loss: 0.6983	LR: 0.100000
Epoch 7 - Average Train Loss: 0.5873, Train Accuracy: 0.7962
Epoch 7 training time consumed: 28.63s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0026, Accuracy: 0.7789, Time consumed:0.90s
Training Epoch: 8 [256/47500]	Loss: 0.5075	LR: 0.020000
Training Epoch: 8 [512/47500]	Loss: 0.6708	LR: 0.020000
Training Epoch: 8 [768/47500]	Loss: 0.5786	LR: 0.020000
Training Epoch: 8 [1024/47500]	Loss: 0.4516	LR: 0.020000
Training Epoch: 8 [1280/47500]	Loss: 0.5182	LR: 0.020000
Training Epoch: 8 [1536/47500]	Loss: 0.6016	LR: 0.020000
Training Epoch: 8 [1792/47500]	Loss: 0.5637	LR: 0.020000
Training Epoch: 8 [2048/47500]	Loss: 0.4660	LR: 0.020000
Training Epoch: 8 [2304/47500]	Loss: 0.5790	LR: 0.020000
Training Epoch: 8 [2560/47500]	Loss: 0.4855	LR: 0.020000
Training Epoch: 8 [2816/47500]	Loss: 0.4662	LR: 0.020000
Training Epoch: 8 [3072/47500]	Loss: 0.4604	LR: 0.020000
Training Epoch: 8 [3328/47500]	Loss: 0.5739	LR: 0.020000
Training Epoch: 8 [3584/47500]	Loss: 0.4615	LR: 0.020000
Training Epoch: 8 [3840/47500]	Loss: 0.5268	LR: 0.020000
Training Epoch: 8 [4096/47500]	Loss: 0.4842	LR: 0.020000
Training Epoch: 8 [4352/47500]	Loss: 0.5584	LR: 0.020000
Training Epoch: 8 [4608/47500]	Loss: 0.4924	LR: 0.020000
Training Epoch: 8 [4864/47500]	Loss: 0.5060	LR: 0.020000
Training Epoch: 8 [5120/47500]	Loss: 0.4009	LR: 0.020000
Training Epoch: 8 [5376/47500]	Loss: 0.4522	LR: 0.020000
Training Epoch: 8 [5632/47500]	Loss: 0.5125	LR: 0.020000
Training Epoch: 8 [5888/47500]	Loss: 0.4549	LR: 0.020000
Training Epoch: 8 [6144/47500]	Loss: 0.5118	LR: 0.020000
Training Epoch: 8 [6400/47500]	Loss: 0.4568	LR: 0.020000
Training Epoch: 8 [6656/47500]	Loss: 0.4601	LR: 0.020000
Training Epoch: 8 [6912/47500]	Loss: 0.3428	LR: 0.020000
Training Epoch: 8 [7168/47500]	Loss: 0.4614	LR: 0.020000
Training Epoch: 8 [7424/47500]	Loss: 0.5116	LR: 0.020000
Training Epoch: 8 [7680/47500]	Loss: 0.4724	LR: 0.020000
Training Epoch: 8 [7936/47500]	Loss: 0.4481	LR: 0.020000
Training Epoch: 8 [8192/47500]	Loss: 0.4694	LR: 0.020000
Training Epoch: 8 [8448/47500]	Loss: 0.4507	LR: 0.020000
Training Epoch: 8 [8704/47500]	Loss: 0.4116	LR: 0.020000
Training Epoch: 8 [8960/47500]	Loss: 0.4560	LR: 0.020000
Training Epoch: 8 [9216/47500]	Loss: 0.4610	LR: 0.020000
Training Epoch: 8 [9472/47500]	Loss: 0.4048	LR: 0.020000
Training Epoch: 8 [9728/47500]	Loss: 0.5418	LR: 0.020000
Training Epoch: 8 [9984/47500]	Loss: 0.3908	LR: 0.020000
Training Epoch: 8 [10240/47500]	Loss: 0.4163	LR: 0.020000
Training Epoch: 8 [10496/47500]	Loss: 0.5051	LR: 0.020000
Training Epoch: 8 [10752/47500]	Loss: 0.4747	LR: 0.020000
Training Epoch: 8 [11008/47500]	Loss: 0.5766	LR: 0.020000
Training Epoch: 8 [11264/47500]	Loss: 0.5138	LR: 0.020000
Training Epoch: 8 [11520/47500]	Loss: 0.5905	LR: 0.020000
Training Epoch: 8 [11776/47500]	Loss: 0.4800	LR: 0.020000
Training Epoch: 8 [12032/47500]	Loss: 0.4285	LR: 0.020000
Training Epoch: 8 [12288/47500]	Loss: 0.4490	LR: 0.020000
Training Epoch: 8 [12544/47500]	Loss: 0.3654	LR: 0.020000
Training Epoch: 8 [12800/47500]	Loss: 0.3618	LR: 0.020000
Training Epoch: 8 [13056/47500]	Loss: 0.5124	LR: 0.020000
Training Epoch: 8 [13312/47500]	Loss: 0.4762	LR: 0.020000
Training Epoch: 8 [13568/47500]	Loss: 0.4268	LR: 0.020000
Training Epoch: 8 [13824/47500]	Loss: 0.3860	LR: 0.020000
Training Epoch: 8 [14080/47500]	Loss: 0.4138	LR: 0.020000
Training Epoch: 8 [14336/47500]	Loss: 0.5221	LR: 0.020000
Training Epoch: 8 [14592/47500]	Loss: 0.5140	LR: 0.020000
Training Epoch: 8 [14848/47500]	Loss: 0.4206	LR: 0.020000
Training Epoch: 8 [15104/47500]	Loss: 0.3961	LR: 0.020000
Training Epoch: 8 [15360/47500]	Loss: 0.4272	LR: 0.020000
Training Epoch: 8 [15616/47500]	Loss: 0.3597	LR: 0.020000
Training Epoch: 8 [15872/47500]	Loss: 0.4507	LR: 0.020000
Training Epoch: 8 [16128/47500]	Loss: 0.4857	LR: 0.020000
Training Epoch: 8 [16384/47500]	Loss: 0.4313	LR: 0.020000
Training Epoch: 8 [16640/47500]	Loss: 0.4474	LR: 0.020000
Training Epoch: 8 [16896/47500]	Loss: 0.4217	LR: 0.020000
Training Epoch: 8 [17152/47500]	Loss: 0.4142	LR: 0.020000
Training Epoch: 8 [17408/47500]	Loss: 0.3103	LR: 0.020000
Training Epoch: 8 [17664/47500]	Loss: 0.4571	LR: 0.020000
Training Epoch: 8 [17920/47500]	Loss: 0.3905	LR: 0.020000
Training Epoch: 8 [18176/47500]	Loss: 0.4844	LR: 0.020000
Training Epoch: 8 [18432/47500]	Loss: 0.4581	LR: 0.020000
Training Epoch: 8 [18688/47500]	Loss: 0.4891	LR: 0.020000
Training Epoch: 8 [18944/47500]	Loss: 0.4489	LR: 0.020000
Training Epoch: 8 [19200/47500]	Loss: 0.4554	LR: 0.020000
Training Epoch: 8 [19456/47500]	Loss: 0.4302	LR: 0.020000
Training Epoch: 8 [19712/47500]	Loss: 0.4968	LR: 0.020000
Training Epoch: 8 [19968/47500]	Loss: 0.4537	LR: 0.020000
Training Epoch: 8 [20224/47500]	Loss: 0.3740	LR: 0.020000
Training Epoch: 8 [20480/47500]	Loss: 0.3721	LR: 0.020000
Training Epoch: 8 [20736/47500]	Loss: 0.4933	LR: 0.020000
Training Epoch: 8 [20992/47500]	Loss: 0.5099	LR: 0.020000
Training Epoch: 8 [21248/47500]	Loss: 0.4672	LR: 0.020000
Training Epoch: 8 [21504/47500]	Loss: 0.4050	LR: 0.020000
Training Epoch: 8 [21760/47500]	Loss: 0.4425	LR: 0.020000
Training Epoch: 8 [22016/47500]	Loss: 0.4043	LR: 0.020000
Training Epoch: 8 [22272/47500]	Loss: 0.4514	LR: 0.020000
Training Epoch: 8 [22528/47500]	Loss: 0.4593	LR: 0.020000
Training Epoch: 8 [22784/47500]	Loss: 0.3494	LR: 0.020000
Training Epoch: 8 [23040/47500]	Loss: 0.5433	LR: 0.020000
Training Epoch: 8 [23296/47500]	Loss: 0.4499	LR: 0.020000
Training Epoch: 8 [23552/47500]	Loss: 0.3945	LR: 0.020000
Training Epoch: 8 [23808/47500]	Loss: 0.4174	LR: 0.020000
Training Epoch: 8 [24064/47500]	Loss: 0.3376	LR: 0.020000
Training Epoch: 8 [24320/47500]	Loss: 0.5044	LR: 0.020000
Training Epoch: 8 [24576/47500]	Loss: 0.5556	LR: 0.020000
Training Epoch: 8 [24832/47500]	Loss: 0.4175	LR: 0.020000
Training Epoch: 8 [25088/47500]	Loss: 0.4278	LR: 0.020000
Training Epoch: 8 [25344/47500]	Loss: 0.4047	LR: 0.020000
Training Epoch: 8 [25600/47500]	Loss: 0.4036	LR: 0.020000
Training Epoch: 8 [25856/47500]	Loss: 0.5114	LR: 0.020000
Training Epoch: 8 [26112/47500]	Loss: 0.4607	LR: 0.020000
Training Epoch: 8 [26368/47500]	Loss: 0.3748	LR: 0.020000
Training Epoch: 8 [26624/47500]	Loss: 0.3356	LR: 0.020000
Training Epoch: 8 [26880/47500]	Loss: 0.4225	LR: 0.020000
Training Epoch: 8 [27136/47500]	Loss: 0.4420	LR: 0.020000
Training Epoch: 8 [27392/47500]	Loss: 0.4343	LR: 0.020000
Training Epoch: 8 [27648/47500]	Loss: 0.4007	LR: 0.020000
Training Epoch: 8 [27904/47500]	Loss: 0.4896	LR: 0.020000
Training Epoch: 8 [28160/47500]	Loss: 0.3198	LR: 0.020000
Training Epoch: 8 [28416/47500]	Loss: 0.5794	LR: 0.020000
Training Epoch: 8 [28672/47500]	Loss: 0.4042	LR: 0.020000
Training Epoch: 8 [28928/47500]	Loss: 0.3551	LR: 0.020000
Training Epoch: 8 [29184/47500]	Loss: 0.3445	LR: 0.020000
Training Epoch: 8 [29440/47500]	Loss: 0.3523	LR: 0.020000
Training Epoch: 8 [29696/47500]	Loss: 0.4300	LR: 0.020000
Training Epoch: 8 [29952/47500]	Loss: 0.4427	LR: 0.020000
Training Epoch: 8 [30208/47500]	Loss: 0.4833	LR: 0.020000
Training Epoch: 8 [30464/47500]	Loss: 0.4577	LR: 0.020000
Training Epoch: 8 [30720/47500]	Loss: 0.4191	LR: 0.020000
Training Epoch: 8 [30976/47500]	Loss: 0.3653	LR: 0.020000
Training Epoch: 8 [31232/47500]	Loss: 0.3882	LR: 0.020000
Training Epoch: 8 [31488/47500]	Loss: 0.4387	LR: 0.020000
Training Epoch: 8 [31744/47500]	Loss: 0.4256	LR: 0.020000
Training Epoch: 8 [32000/47500]	Loss: 0.4652	LR: 0.020000
Training Epoch: 8 [32256/47500]	Loss: 0.4499	LR: 0.020000
Training Epoch: 8 [32512/47500]	Loss: 0.4473	LR: 0.020000
Training Epoch: 8 [32768/47500]	Loss: 0.5664	LR: 0.020000
Training Epoch: 8 [33024/47500]	Loss: 0.5326	LR: 0.020000
Training Epoch: 8 [33280/47500]	Loss: 0.4190	LR: 0.020000
Training Epoch: 8 [33536/47500]	Loss: 0.4171	LR: 0.020000
Training Epoch: 8 [33792/47500]	Loss: 0.3435	LR: 0.020000
Training Epoch: 8 [34048/47500]	Loss: 0.4138	LR: 0.020000
Training Epoch: 8 [34304/47500]	Loss: 0.4376	LR: 0.020000
Training Epoch: 8 [34560/47500]	Loss: 0.2682	LR: 0.020000
Training Epoch: 8 [34816/47500]	Loss: 0.3680	LR: 0.020000
Training Epoch: 8 [35072/47500]	Loss: 0.2798	LR: 0.020000
Training Epoch: 8 [35328/47500]	Loss: 0.3804	LR: 0.020000
Training Epoch: 8 [35584/47500]	Loss: 0.4752	LR: 0.020000
Training Epoch: 8 [35840/47500]	Loss: 0.4482	LR: 0.020000
Training Epoch: 8 [36096/47500]	Loss: 0.3459	LR: 0.020000
Training Epoch: 8 [36352/47500]	Loss: 0.3928	LR: 0.020000
Training Epoch: 8 [36608/47500]	Loss: 0.4026	LR: 0.020000
Training Epoch: 8 [36864/47500]	Loss: 0.4361	LR: 0.020000
Training Epoch: 8 [37120/47500]	Loss: 0.4076	LR: 0.020000
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Training Epoch: 8 [47500/47500]	Loss: 0.3895	LR: 0.020000
Epoch 8 - Average Train Loss: 0.4400, Train Accuracy: 0.8466
Epoch 8 training time consumed: 28.58s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0017, Accuracy: 0.8513, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_10h_35m_16s/ResNet18-Cifar10-seed4-ret50-8-best.pth
Training Epoch: 9 [256/47500]	Loss: 0.4329	LR: 0.020000
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Training Epoch: 9 [47500/47500]	Loss: 0.4430	LR: 0.020000
Epoch 9 - Average Train Loss: 0.3972, Train Accuracy: 0.8611
Epoch 9 training time consumed: 28.55s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0016, Accuracy: 0.8627, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_10h_35m_16s/ResNet18-Cifar10-seed4-ret50-9-best.pth
Training Epoch: 10 [256/47500]	Loss: 0.3800	LR: 0.020000
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Training Epoch: 10 [47500/47500]	Loss: 0.4985	LR: 0.020000
Epoch 10 - Average Train Loss: 0.3729, Train Accuracy: 0.8687
Epoch 10 training time consumed: 28.83s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0016, Accuracy: 0.8647, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_10h_35m_16s/ResNet18-Cifar10-seed4-ret50-10-best.pth
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Training Epoch: 11 [47360/47500]	Loss: 0.3123	LR: 0.020000
Training Epoch: 11 [47500/47500]	Loss: 0.3385	LR: 0.020000
Epoch 11 - Average Train Loss: 0.3524, Train Accuracy: 0.8784
Epoch 11 training time consumed: 28.54s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0015, Accuracy: 0.8743, Time consumed:1.01s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_10h_35m_16s/ResNet18-Cifar10-seed4-ret50-11-best.pth
Training Epoch: 12 [256/47500]	Loss: 0.4771	LR: 0.004000
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Training Epoch: 12 [47500/47500]	Loss: 0.2060	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3130, Train Accuracy: 0.8910
Epoch 12 training time consumed: 28.65s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0013, Accuracy: 0.8892, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_10h_35m_16s/ResNet18-Cifar10-seed4-ret50-12-best.pth
Training Epoch: 13 [256/47500]	Loss: 0.3067	LR: 0.004000
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Training Epoch: 13 [16128/47500]	Loss: 0.2836	LR: 0.004000
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Training Epoch: 13 [16640/47500]	Loss: 0.3140	LR: 0.004000
Training Epoch: 13 [16896/47500]	Loss: 0.2518	LR: 0.004000
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Training Epoch: 13 [18944/47500]	Loss: 0.3397	LR: 0.004000
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Training Epoch: 13 [19456/47500]	Loss: 0.2514	LR: 0.004000
Training Epoch: 13 [19712/47500]	Loss: 0.3077	LR: 0.004000
Training Epoch: 13 [19968/47500]	Loss: 0.2712	LR: 0.004000
Training Epoch: 13 [20224/47500]	Loss: 0.2162	LR: 0.004000
Training Epoch: 13 [20480/47500]	Loss: 0.2201	LR: 0.004000
Training Epoch: 13 [20736/47500]	Loss: 0.3220	LR: 0.004000
Training Epoch: 13 [20992/47500]	Loss: 0.2560	LR: 0.004000
Training Epoch: 13 [21248/47500]	Loss: 0.3579	LR: 0.004000
Training Epoch: 13 [21504/47500]	Loss: 0.2980	LR: 0.004000
Training Epoch: 13 [21760/47500]	Loss: 0.2165	LR: 0.004000
Training Epoch: 13 [22016/47500]	Loss: 0.3046	LR: 0.004000
Training Epoch: 13 [22272/47500]	Loss: 0.2815	LR: 0.004000
Training Epoch: 13 [22528/47500]	Loss: 0.3690	LR: 0.004000
Training Epoch: 13 [22784/47500]	Loss: 0.3084	LR: 0.004000
Training Epoch: 13 [23040/47500]	Loss: 0.2117	LR: 0.004000
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Training Epoch: 13 [24320/47500]	Loss: 0.2873	LR: 0.004000
Training Epoch: 13 [24576/47500]	Loss: 0.3162	LR: 0.004000
Training Epoch: 13 [24832/47500]	Loss: 0.3378	LR: 0.004000
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Training Epoch: 13 [25344/47500]	Loss: 0.3020	LR: 0.004000
Training Epoch: 13 [25600/47500]	Loss: 0.2621	LR: 0.004000
Training Epoch: 13 [25856/47500]	Loss: 0.2581	LR: 0.004000
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Training Epoch: 13 [26368/47500]	Loss: 0.2912	LR: 0.004000
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Training Epoch: 13 [27392/47500]	Loss: 0.3260	LR: 0.004000
Training Epoch: 13 [27648/47500]	Loss: 0.3244	LR: 0.004000
Training Epoch: 13 [27904/47500]	Loss: 0.2543	LR: 0.004000
Training Epoch: 13 [28160/47500]	Loss: 0.2916	LR: 0.004000
Training Epoch: 13 [28416/47500]	Loss: 0.2412	LR: 0.004000
Training Epoch: 13 [28672/47500]	Loss: 0.3057	LR: 0.004000
Training Epoch: 13 [28928/47500]	Loss: 0.2691	LR: 0.004000
Training Epoch: 13 [29184/47500]	Loss: 0.3689	LR: 0.004000
Training Epoch: 13 [29440/47500]	Loss: 0.2263	LR: 0.004000
Training Epoch: 13 [29696/47500]	Loss: 0.2507	LR: 0.004000
Training Epoch: 13 [29952/47500]	Loss: 0.3089	LR: 0.004000
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Training Epoch: 13 [30464/47500]	Loss: 0.3623	LR: 0.004000
Training Epoch: 13 [30720/47500]	Loss: 0.2805	LR: 0.004000
Training Epoch: 13 [30976/47500]	Loss: 0.3446	LR: 0.004000
Training Epoch: 13 [31232/47500]	Loss: 0.3201	LR: 0.004000
Training Epoch: 13 [31488/47500]	Loss: 0.3069	LR: 0.004000
Training Epoch: 13 [31744/47500]	Loss: 0.2981	LR: 0.004000
Training Epoch: 13 [32000/47500]	Loss: 0.3620	LR: 0.004000
Training Epoch: 13 [32256/47500]	Loss: 0.2795	LR: 0.004000
Training Epoch: 13 [32512/47500]	Loss: 0.2542	LR: 0.004000
Training Epoch: 13 [32768/47500]	Loss: 0.2919	LR: 0.004000
Training Epoch: 13 [33024/47500]	Loss: 0.3193	LR: 0.004000
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Training Epoch: 13 [34816/47500]	Loss: 0.2669	LR: 0.004000
Training Epoch: 13 [35072/47500]	Loss: 0.2545	LR: 0.004000
Training Epoch: 13 [35328/47500]	Loss: 0.3209	LR: 0.004000
Training Epoch: 13 [35584/47500]	Loss: 0.3779	LR: 0.004000
Training Epoch: 13 [35840/47500]	Loss: 0.2820	LR: 0.004000
Training Epoch: 13 [36096/47500]	Loss: 0.2840	LR: 0.004000
Training Epoch: 13 [36352/47500]	Loss: 0.3826	LR: 0.004000
Training Epoch: 13 [36608/47500]	Loss: 0.3062	LR: 0.004000
Training Epoch: 13 [36864/47500]	Loss: 0.2725	LR: 0.004000
Training Epoch: 13 [37120/47500]	Loss: 0.3763	LR: 0.004000
Training Epoch: 13 [37376/47500]	Loss: 0.2397	LR: 0.004000
Training Epoch: 13 [37632/47500]	Loss: 0.2618	LR: 0.004000
Training Epoch: 13 [37888/47500]	Loss: 0.3127	LR: 0.004000
Training Epoch: 13 [38144/47500]	Loss: 0.2855	LR: 0.004000
Training Epoch: 13 [38400/47500]	Loss: 0.2770	LR: 0.004000
Training Epoch: 13 [38656/47500]	Loss: 0.2529	LR: 0.004000
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Training Epoch: 13 [39168/47500]	Loss: 0.3043	LR: 0.004000
Training Epoch: 13 [39424/47500]	Loss: 0.3092	LR: 0.004000
Training Epoch: 13 [39680/47500]	Loss: 0.2841	LR: 0.004000
Training Epoch: 13 [39936/47500]	Loss: 0.3121	LR: 0.004000
Training Epoch: 13 [40192/47500]	Loss: 0.3061	LR: 0.004000
Training Epoch: 13 [40448/47500]	Loss: 0.2831	LR: 0.004000
Training Epoch: 13 [40704/47500]	Loss: 0.3550	LR: 0.004000
Training Epoch: 13 [40960/47500]	Loss: 0.2525	LR: 0.004000
Training Epoch: 13 [41216/47500]	Loss: 0.2675	LR: 0.004000
Training Epoch: 13 [41472/47500]	Loss: 0.2860	LR: 0.004000
Training Epoch: 13 [41728/47500]	Loss: 0.3264	LR: 0.004000
Training Epoch: 13 [41984/47500]	Loss: 0.2425	LR: 0.004000
Training Epoch: 13 [42240/47500]	Loss: 0.3405	LR: 0.004000
Training Epoch: 13 [42496/47500]	Loss: 0.3428	LR: 0.004000
Training Epoch: 13 [42752/47500]	Loss: 0.3081	LR: 0.004000
Training Epoch: 13 [43008/47500]	Loss: 0.2986	LR: 0.004000
Training Epoch: 13 [43264/47500]	Loss: 0.3374	LR: 0.004000
Training Epoch: 13 [43520/47500]	Loss: 0.2957	LR: 0.004000
Training Epoch: 13 [43776/47500]	Loss: 0.3134	LR: 0.004000
Training Epoch: 13 [44032/47500]	Loss: 0.2850	LR: 0.004000
Training Epoch: 13 [44288/47500]	Loss: 0.3270	LR: 0.004000
Training Epoch: 13 [44544/47500]	Loss: 0.2639	LR: 0.004000
Training Epoch: 13 [44800/47500]	Loss: 0.3926	LR: 0.004000
Training Epoch: 13 [45056/47500]	Loss: 0.2327	LR: 0.004000
Training Epoch: 13 [45312/47500]	Loss: 0.3620	LR: 0.004000
Training Epoch: 13 [45568/47500]	Loss: 0.3347	LR: 0.004000
Training Epoch: 13 [45824/47500]	Loss: 0.3448	LR: 0.004000
Training Epoch: 13 [46080/47500]	Loss: 0.4342	LR: 0.004000
Training Epoch: 13 [46336/47500]	Loss: 0.3298	LR: 0.004000
Training Epoch: 13 [46592/47500]	Loss: 0.3516	LR: 0.004000
Training Epoch: 13 [46848/47500]	Loss: 0.2597	LR: 0.004000
Training Epoch: 13 [47104/47500]	Loss: 0.2155	LR: 0.004000
Training Epoch: 13 [47360/47500]	Loss: 0.3071	LR: 0.004000
Training Epoch: 13 [47500/47500]	Loss: 0.3380	LR: 0.004000
Epoch 13 - Average Train Loss: 0.2985, Train Accuracy: 0.8956
Epoch 13 training time consumed: 28.89s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0013, Accuracy: 0.8883, Time consumed:0.92s
Training Epoch: 14 [256/47500]	Loss: 0.3686	LR: 0.004000
Training Epoch: 14 [512/47500]	Loss: 0.3625	LR: 0.004000
Training Epoch: 14 [768/47500]	Loss: 0.3495	LR: 0.004000
Training Epoch: 14 [1024/47500]	Loss: 0.2313	LR: 0.004000
Training Epoch: 14 [1280/47500]	Loss: 0.2774	LR: 0.004000
Training Epoch: 14 [1536/47500]	Loss: 0.2711	LR: 0.004000
Training Epoch: 14 [1792/47500]	Loss: 0.2199	LR: 0.004000
Training Epoch: 14 [2048/47500]	Loss: 0.3316	LR: 0.004000
Training Epoch: 14 [2304/47500]	Loss: 0.2663	LR: 0.004000
Training Epoch: 14 [2560/47500]	Loss: 0.3090	LR: 0.004000
Training Epoch: 14 [2816/47500]	Loss: 0.3262	LR: 0.004000
Training Epoch: 14 [3072/47500]	Loss: 0.2948	LR: 0.004000
Training Epoch: 14 [3328/47500]	Loss: 0.2376	LR: 0.004000
Training Epoch: 14 [3584/47500]	Loss: 0.2455	LR: 0.004000
Training Epoch: 14 [3840/47500]	Loss: 0.2958	LR: 0.004000
Training Epoch: 14 [4096/47500]	Loss: 0.2522	LR: 0.004000
Training Epoch: 14 [4352/47500]	Loss: 0.3709	LR: 0.004000
Training Epoch: 14 [4608/47500]	Loss: 0.3132	LR: 0.004000
Training Epoch: 14 [4864/47500]	Loss: 0.2515	LR: 0.004000
Training Epoch: 14 [5120/47500]	Loss: 0.2805	LR: 0.004000
Training Epoch: 14 [5376/47500]	Loss: 0.2741	LR: 0.004000
Training Epoch: 14 [5632/47500]	Loss: 0.3005	LR: 0.004000
Training Epoch: 14 [5888/47500]	Loss: 0.2374	LR: 0.004000
Training Epoch: 14 [6144/47500]	Loss: 0.2690	LR: 0.004000
Training Epoch: 14 [6400/47500]	Loss: 0.2735	LR: 0.004000
Training Epoch: 14 [6656/47500]	Loss: 0.3182	LR: 0.004000
Training Epoch: 14 [6912/47500]	Loss: 0.2336	LR: 0.004000
Training Epoch: 14 [7168/47500]	Loss: 0.2971	LR: 0.004000
Training Epoch: 14 [7424/47500]	Loss: 0.2895	LR: 0.004000
Training Epoch: 14 [7680/47500]	Loss: 0.1779	LR: 0.004000
Training Epoch: 14 [7936/47500]	Loss: 0.2539	LR: 0.004000
Training Epoch: 14 [8192/47500]	Loss: 0.3777	LR: 0.004000
Training Epoch: 14 [8448/47500]	Loss: 0.2886	LR: 0.004000
Training Epoch: 14 [8704/47500]	Loss: 0.3174	LR: 0.004000
Training Epoch: 14 [8960/47500]	Loss: 0.2795	LR: 0.004000
Training Epoch: 14 [9216/47500]	Loss: 0.2707	LR: 0.004000
Training Epoch: 14 [9472/47500]	Loss: 0.3141	LR: 0.004000
Training Epoch: 14 [9728/47500]	Loss: 0.3621	LR: 0.004000
Training Epoch: 14 [9984/47500]	Loss: 0.2503	LR: 0.004000
Training Epoch: 14 [10240/47500]	Loss: 0.3039	LR: 0.004000
Training Epoch: 14 [10496/47500]	Loss: 0.3393	LR: 0.004000
Training Epoch: 14 [10752/47500]	Loss: 0.2623	LR: 0.004000
Training Epoch: 14 [11008/47500]	Loss: 0.2726	LR: 0.004000
Training Epoch: 14 [11264/47500]	Loss: 0.2287	LR: 0.004000
Training Epoch: 14 [11520/47500]	Loss: 0.2337	LR: 0.004000
Training Epoch: 14 [11776/47500]	Loss: 0.2607	LR: 0.004000
Training Epoch: 14 [12032/47500]	Loss: 0.2421	LR: 0.004000
Training Epoch: 14 [12288/47500]	Loss: 0.3494	LR: 0.004000
Training Epoch: 14 [12544/47500]	Loss: 0.3089	LR: 0.004000
Training Epoch: 14 [12800/47500]	Loss: 0.2759	LR: 0.004000
Training Epoch: 14 [13056/47500]	Loss: 0.3024	LR: 0.004000
Training Epoch: 14 [13312/47500]	Loss: 0.2770	LR: 0.004000
Training Epoch: 14 [13568/47500]	Loss: 0.2508	LR: 0.004000
Training Epoch: 14 [13824/47500]	Loss: 0.2847	LR: 0.004000
Training Epoch: 14 [14080/47500]	Loss: 0.2478	LR: 0.004000
Training Epoch: 14 [14336/47500]	Loss: 0.3250	LR: 0.004000
Training Epoch: 14 [14592/47500]	Loss: 0.3219	LR: 0.004000
Training Epoch: 14 [14848/47500]	Loss: 0.3790	LR: 0.004000
Training Epoch: 14 [15104/47500]	Loss: 0.3168	LR: 0.004000
Training Epoch: 14 [15360/47500]	Loss: 0.3569	LR: 0.004000
Training Epoch: 14 [15616/47500]	Loss: 0.3401	LR: 0.004000
Training Epoch: 14 [15872/47500]	Loss: 0.2323	LR: 0.004000
Training Epoch: 14 [16128/47500]	Loss: 0.3438	LR: 0.004000
Training Epoch: 14 [16384/47500]	Loss: 0.3113	LR: 0.004000
Training Epoch: 14 [16640/47500]	Loss: 0.2599	LR: 0.004000
Training Epoch: 14 [16896/47500]	Loss: 0.2240	LR: 0.004000
Training Epoch: 14 [17152/47500]	Loss: 0.3197	LR: 0.004000
Training Epoch: 14 [17408/47500]	Loss: 0.2387	LR: 0.004000
Training Epoch: 14 [17664/47500]	Loss: 0.2997	LR: 0.004000
Training Epoch: 14 [17920/47500]	Loss: 0.2603	LR: 0.004000
Training Epoch: 14 [18176/47500]	Loss: 0.2648	LR: 0.004000
Training Epoch: 14 [18432/47500]	Loss: 0.3812	LR: 0.004000
Training Epoch: 14 [18688/47500]	Loss: 0.2476	LR: 0.004000
Training Epoch: 14 [18944/47500]	Loss: 0.2881	LR: 0.004000
Training Epoch: 14 [19200/47500]	Loss: 0.3406	LR: 0.004000
Training Epoch: 14 [19456/47500]	Loss: 0.3246	LR: 0.004000
Training Epoch: 14 [19712/47500]	Loss: 0.2756	LR: 0.004000
Training Epoch: 14 [19968/47500]	Loss: 0.3831	LR: 0.004000
Training Epoch: 14 [20224/47500]	Loss: 0.2527	LR: 0.004000
Training Epoch: 14 [20480/47500]	Loss: 0.2973	LR: 0.004000
Training Epoch: 14 [20736/47500]	Loss: 0.2984	LR: 0.004000
Training Epoch: 14 [20992/47500]	Loss: 0.2865	LR: 0.004000
Training Epoch: 14 [21248/47500]	Loss: 0.3590	LR: 0.004000
Training Epoch: 14 [21504/47500]	Loss: 0.3877	LR: 0.004000
Training Epoch: 14 [21760/47500]	Loss: 0.3182	LR: 0.004000
Training Epoch: 14 [22016/47500]	Loss: 0.2968	LR: 0.004000
Training Epoch: 14 [22272/47500]	Loss: 0.2792	LR: 0.004000
Training Epoch: 14 [22528/47500]	Loss: 0.2647	LR: 0.004000
Training Epoch: 14 [22784/47500]	Loss: 0.2285	LR: 0.004000
Training Epoch: 14 [23040/47500]	Loss: 0.3191	LR: 0.004000
Training Epoch: 14 [23296/47500]	Loss: 0.2144	LR: 0.004000
Training Epoch: 14 [23552/47500]	Loss: 0.2923	LR: 0.004000
Training Epoch: 14 [23808/47500]	Loss: 0.2847	LR: 0.004000
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Training Epoch: 14 [24320/47500]	Loss: 0.2111	LR: 0.004000
Training Epoch: 14 [24576/47500]	Loss: 0.3175	LR: 0.004000
Training Epoch: 14 [24832/47500]	Loss: 0.2724	LR: 0.004000
Training Epoch: 14 [25088/47500]	Loss: 0.2525	LR: 0.004000
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Training Epoch: 14 [25856/47500]	Loss: 0.3939	LR: 0.004000
Training Epoch: 14 [26112/47500]	Loss: 0.3010	LR: 0.004000
Training Epoch: 14 [26368/47500]	Loss: 0.3382	LR: 0.004000
Training Epoch: 14 [26624/47500]	Loss: 0.3056	LR: 0.004000
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Training Epoch: 14 [27136/47500]	Loss: 0.3319	LR: 0.004000
Training Epoch: 14 [27392/47500]	Loss: 0.2387	LR: 0.004000
Training Epoch: 14 [27648/47500]	Loss: 0.2811	LR: 0.004000
Training Epoch: 14 [27904/47500]	Loss: 0.3049	LR: 0.004000
Training Epoch: 14 [28160/47500]	Loss: 0.2535	LR: 0.004000
Training Epoch: 14 [28416/47500]	Loss: 0.2635	LR: 0.004000
Training Epoch: 14 [28672/47500]	Loss: 0.2435	LR: 0.004000
Training Epoch: 14 [28928/47500]	Loss: 0.3030	LR: 0.004000
Training Epoch: 14 [29184/47500]	Loss: 0.2668	LR: 0.004000
Training Epoch: 14 [29440/47500]	Loss: 0.2949	LR: 0.004000
Training Epoch: 14 [29696/47500]	Loss: 0.2584	LR: 0.004000
Training Epoch: 14 [29952/47500]	Loss: 0.3194	LR: 0.004000
Training Epoch: 14 [30208/47500]	Loss: 0.2324	LR: 0.004000
Training Epoch: 14 [30464/47500]	Loss: 0.3134	LR: 0.004000
Training Epoch: 14 [30720/47500]	Loss: 0.2843	LR: 0.004000
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Training Epoch: 14 [36096/47500]	Loss: 0.2643	LR: 0.004000
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Training Epoch: 14 [37888/47500]	Loss: 0.3425	LR: 0.004000
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Training Epoch: 14 [38400/47500]	Loss: 0.2984	LR: 0.004000
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Training Epoch: 14 [40192/47500]	Loss: 0.2559	LR: 0.004000
Training Epoch: 14 [40448/47500]	Loss: 0.2632	LR: 0.004000
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Training Epoch: 14 [42240/47500]	Loss: 0.2322	LR: 0.004000
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Training Epoch: 14 [47360/47500]	Loss: 0.2467	LR: 0.004000
Training Epoch: 14 [47500/47500]	Loss: 0.3294	LR: 0.004000
Epoch 14 - Average Train Loss: 0.2907, Train Accuracy: 0.8990
Epoch 14 training time consumed: 28.56s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0013, Accuracy: 0.8931, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_10h_35m_16s/ResNet18-Cifar10-seed4-ret50-14-best.pth
Training Epoch: 15 [256/47500]	Loss: 0.3117	LR: 0.004000
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Training Epoch: 15 [47500/47500]	Loss: 0.2630	LR: 0.004000
Epoch 15 - Average Train Loss: 0.2853, Train Accuracy: 0.9006
Epoch 15 training time consumed: 28.71s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0013, Accuracy: 0.8939, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_10h_35m_16s/ResNet18-Cifar10-seed4-ret50-15-best.pth
Training Epoch: 16 [256/47500]	Loss: 0.2570	LR: 0.000800
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Training Epoch: 16 [47500/47500]	Loss: 0.2593	LR: 0.000800
Epoch 16 - Average Train Loss: 0.2704, Train Accuracy: 0.9060
Epoch 16 training time consumed: 28.63s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0013, Accuracy: 0.8953, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_10h_35m_16s/ResNet18-Cifar10-seed4-ret50-16-best.pth
Training Epoch: 17 [256/47500]	Loss: 0.2364	LR: 0.000800
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Training Epoch: 17 [46592/47500]	Loss: 0.2835	LR: 0.000800
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Training Epoch: 17 [47360/47500]	Loss: 0.1884	LR: 0.000800
Training Epoch: 17 [47500/47500]	Loss: 0.3788	LR: 0.000800
Epoch 17 - Average Train Loss: 0.2683, Train Accuracy: 0.9071
Epoch 17 training time consumed: 28.59s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0013, Accuracy: 0.8952, Time consumed:0.91s
Training Epoch: 18 [256/47500]	Loss: 0.2809	LR: 0.000800
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Training Epoch: 18 [46592/47500]	Loss: 0.2221	LR: 0.000800
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Training Epoch: 18 [47360/47500]	Loss: 0.2698	LR: 0.000800
Training Epoch: 18 [47500/47500]	Loss: 0.2098	LR: 0.000800
Epoch 18 - Average Train Loss: 0.2650, Train Accuracy: 0.9070
Epoch 18 training time consumed: 28.63s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0013, Accuracy: 0.8966, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_10h_35m_16s/ResNet18-Cifar10-seed4-ret50-18-best.pth
Training Epoch: 19 [256/47500]	Loss: 0.2280	LR: 0.000800
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Training Epoch: 19 [768/47500]	Loss: 0.2931	LR: 0.000800
Training Epoch: 19 [1024/47500]	Loss: 0.2861	LR: 0.000800
Training Epoch: 19 [1280/47500]	Loss: 0.3951	LR: 0.000800
Training Epoch: 19 [1536/47500]	Loss: 0.3102	LR: 0.000800
Training Epoch: 19 [1792/47500]	Loss: 0.2921	LR: 0.000800
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Training Epoch: 19 [21760/47500]	Loss: 0.2758	LR: 0.000800
Training Epoch: 19 [22016/47500]	Loss: 0.2505	LR: 0.000800
Training Epoch: 19 [22272/47500]	Loss: 0.3215	LR: 0.000800
Training Epoch: 19 [22528/47500]	Loss: 0.2878	LR: 0.000800
Training Epoch: 19 [22784/47500]	Loss: 0.2236	LR: 0.000800
Training Epoch: 19 [23040/47500]	Loss: 0.1947	LR: 0.000800
Training Epoch: 19 [23296/47500]	Loss: 0.2435	LR: 0.000800
Training Epoch: 19 [23552/47500]	Loss: 0.2397	LR: 0.000800
Training Epoch: 19 [23808/47500]	Loss: 0.3192	LR: 0.000800
Training Epoch: 19 [24064/47500]	Loss: 0.3482	LR: 0.000800
Training Epoch: 19 [24320/47500]	Loss: 0.2969	LR: 0.000800
Training Epoch: 19 [24576/47500]	Loss: 0.3000	LR: 0.000800
Training Epoch: 19 [24832/47500]	Loss: 0.3155	LR: 0.000800
Training Epoch: 19 [25088/47500]	Loss: 0.2775	LR: 0.000800
Training Epoch: 19 [25344/47500]	Loss: 0.2272	LR: 0.000800
Training Epoch: 19 [25600/47500]	Loss: 0.2366	LR: 0.000800
Training Epoch: 19 [25856/47500]	Loss: 0.2890	LR: 0.000800
Training Epoch: 19 [26112/47500]	Loss: 0.3047	LR: 0.000800
Training Epoch: 19 [26368/47500]	Loss: 0.3609	LR: 0.000800
Training Epoch: 19 [26624/47500]	Loss: 0.2557	LR: 0.000800
Training Epoch: 19 [26880/47500]	Loss: 0.2413	LR: 0.000800
Training Epoch: 19 [27136/47500]	Loss: 0.2197	LR: 0.000800
Training Epoch: 19 [27392/47500]	Loss: 0.2233	LR: 0.000800
Training Epoch: 19 [27648/47500]	Loss: 0.2474	LR: 0.000800
Training Epoch: 19 [27904/47500]	Loss: 0.2455	LR: 0.000800
Training Epoch: 19 [28160/47500]	Loss: 0.2524	LR: 0.000800
Training Epoch: 19 [28416/47500]	Loss: 0.3393	LR: 0.000800
Training Epoch: 19 [28672/47500]	Loss: 0.2423	LR: 0.000800
Training Epoch: 19 [28928/47500]	Loss: 0.2372	LR: 0.000800
Training Epoch: 19 [29184/47500]	Loss: 0.2232	LR: 0.000800
Training Epoch: 19 [29440/47500]	Loss: 0.2748	LR: 0.000800
Training Epoch: 19 [29696/47500]	Loss: 0.2835	LR: 0.000800
Training Epoch: 19 [29952/47500]	Loss: 0.2477	LR: 0.000800
Training Epoch: 19 [30208/47500]	Loss: 0.2458	LR: 0.000800
Training Epoch: 19 [30464/47500]	Loss: 0.2119	LR: 0.000800
Training Epoch: 19 [30720/47500]	Loss: 0.2389	LR: 0.000800
Training Epoch: 19 [30976/47500]	Loss: 0.3495	LR: 0.000800
Training Epoch: 19 [31232/47500]	Loss: 0.2905	LR: 0.000800
Training Epoch: 19 [31488/47500]	Loss: 0.3124	LR: 0.000800
Training Epoch: 19 [31744/47500]	Loss: 0.1580	LR: 0.000800
Training Epoch: 19 [32000/47500]	Loss: 0.2309	LR: 0.000800
Training Epoch: 19 [32256/47500]	Loss: 0.2814	LR: 0.000800
Training Epoch: 19 [32512/47500]	Loss: 0.2261	LR: 0.000800
Training Epoch: 19 [32768/47500]	Loss: 0.2353	LR: 0.000800
Training Epoch: 19 [33024/47500]	Loss: 0.2826	LR: 0.000800
Training Epoch: 19 [33280/47500]	Loss: 0.2146	LR: 0.000800
Training Epoch: 19 [33536/47500]	Loss: 0.3052	LR: 0.000800
Training Epoch: 19 [33792/47500]	Loss: 0.2780	LR: 0.000800
Training Epoch: 19 [34048/47500]	Loss: 0.2293	LR: 0.000800
Training Epoch: 19 [34304/47500]	Loss: 0.3047	LR: 0.000800
Training Epoch: 19 [34560/47500]	Loss: 0.3420	LR: 0.000800
Training Epoch: 19 [34816/47500]	Loss: 0.2800	LR: 0.000800
Training Epoch: 19 [35072/47500]	Loss: 0.3347	LR: 0.000800
Training Epoch: 19 [35328/47500]	Loss: 0.2451	LR: 0.000800
Training Epoch: 19 [35584/47500]	Loss: 0.2492	LR: 0.000800
Training Epoch: 19 [35840/47500]	Loss: 0.2932	LR: 0.000800
Training Epoch: 19 [36096/47500]	Loss: 0.2498	LR: 0.000800
Training Epoch: 19 [36352/47500]	Loss: 0.2096	LR: 0.000800
Training Epoch: 19 [36608/47500]	Loss: 0.2698	LR: 0.000800
Training Epoch: 19 [36864/47500]	Loss: 0.2336	LR: 0.000800
Training Epoch: 19 [37120/47500]	Loss: 0.2601	LR: 0.000800
Training Epoch: 19 [37376/47500]	Loss: 0.2675	LR: 0.000800
Training Epoch: 19 [37632/47500]	Loss: 0.2232	LR: 0.000800
Training Epoch: 19 [37888/47500]	Loss: 0.2477	LR: 0.000800
Training Epoch: 19 [38144/47500]	Loss: 0.2810	LR: 0.000800
Training Epoch: 19 [38400/47500]	Loss: 0.3149	LR: 0.000800
Training Epoch: 19 [38656/47500]	Loss: 0.3306	LR: 0.000800
Training Epoch: 19 [38912/47500]	Loss: 0.2504	LR: 0.000800
Training Epoch: 19 [39168/47500]	Loss: 0.3140	LR: 0.000800
Training Epoch: 19 [39424/47500]	Loss: 0.2493	LR: 0.000800
Training Epoch: 19 [39680/47500]	Loss: 0.2956	LR: 0.000800
Training Epoch: 19 [39936/47500]	Loss: 0.2464	LR: 0.000800
Training Epoch: 19 [40192/47500]	Loss: 0.2434	LR: 0.000800
Training Epoch: 19 [40448/47500]	Loss: 0.3194	LR: 0.000800
Training Epoch: 19 [40704/47500]	Loss: 0.1901	LR: 0.000800
Training Epoch: 19 [40960/47500]	Loss: 0.2131	LR: 0.000800
Training Epoch: 19 [41216/47500]	Loss: 0.2428	LR: 0.000800
Training Epoch: 19 [41472/47500]	Loss: 0.2726	LR: 0.000800
Training Epoch: 19 [41728/47500]	Loss: 0.2888	LR: 0.000800
Training Epoch: 19 [41984/47500]	Loss: 0.2427	LR: 0.000800
Training Epoch: 19 [42240/47500]	Loss: 0.2858	LR: 0.000800
Training Epoch: 19 [42496/47500]	Loss: 0.2153	LR: 0.000800
Training Epoch: 19 [42752/47500]	Loss: 0.2529	LR: 0.000800
Training Epoch: 19 [43008/47500]	Loss: 0.2143	LR: 0.000800
Training Epoch: 19 [43264/47500]	Loss: 0.2658	LR: 0.000800
Training Epoch: 19 [43520/47500]	Loss: 0.2890	LR: 0.000800
Training Epoch: 19 [43776/47500]	Loss: 0.1602	LR: 0.000800
Training Epoch: 19 [44032/47500]	Loss: 0.2224	LR: 0.000800
Training Epoch: 19 [44288/47500]	Loss: 0.3333	LR: 0.000800
Training Epoch: 19 [44544/47500]	Loss: 0.2752	LR: 0.000800
Training Epoch: 19 [44800/47500]	Loss: 0.2489	LR: 0.000800
Training Epoch: 19 [45056/47500]	Loss: 0.2583	LR: 0.000800
Training Epoch: 19 [45312/47500]	Loss: 0.2827	LR: 0.000800
Training Epoch: 19 [45568/47500]	Loss: 0.2262	LR: 0.000800
Training Epoch: 19 [45824/47500]	Loss: 0.3440	LR: 0.000800
Training Epoch: 19 [46080/47500]	Loss: 0.3126	LR: 0.000800
Training Epoch: 19 [46336/47500]	Loss: 0.2365	LR: 0.000800
Training Epoch: 19 [46592/47500]	Loss: 0.2518	LR: 0.000800
Training Epoch: 19 [46848/47500]	Loss: 0.2028	LR: 0.000800
Training Epoch: 19 [47104/47500]	Loss: 0.3648	LR: 0.000800
Training Epoch: 19 [47360/47500]	Loss: 0.2082	LR: 0.000800
Training Epoch: 19 [47500/47500]	Loss: 0.3045	LR: 0.000800
Epoch 19 - Average Train Loss: 0.2636, Train Accuracy: 0.9083
Epoch 19 training time consumed: 29.18s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0013, Accuracy: 0.8966, Time consumed:0.90s
Training Epoch: 20 [256/47500]	Loss: 0.2825	LR: 0.000800
Training Epoch: 20 [512/47500]	Loss: 0.2388	LR: 0.000800
Training Epoch: 20 [768/47500]	Loss: 0.2900	LR: 0.000800
Training Epoch: 20 [1024/47500]	Loss: 0.2087	LR: 0.000800
Training Epoch: 20 [1280/47500]	Loss: 0.2552	LR: 0.000800
Training Epoch: 20 [1536/47500]	Loss: 0.3181	LR: 0.000800
Training Epoch: 20 [1792/47500]	Loss: 0.2306	LR: 0.000800
Training Epoch: 20 [2048/47500]	Loss: 0.2857	LR: 0.000800
Training Epoch: 20 [2304/47500]	Loss: 0.2128	LR: 0.000800
Training Epoch: 20 [2560/47500]	Loss: 0.2935	LR: 0.000800
Training Epoch: 20 [2816/47500]	Loss: 0.2975	LR: 0.000800
Training Epoch: 20 [3072/47500]	Loss: 0.3034	LR: 0.000800
Training Epoch: 20 [3328/47500]	Loss: 0.2579	LR: 0.000800
Training Epoch: 20 [3584/47500]	Loss: 0.2209	LR: 0.000800
Training Epoch: 20 [3840/47500]	Loss: 0.3161	LR: 0.000800
Training Epoch: 20 [4096/47500]	Loss: 0.2812	LR: 0.000800
Training Epoch: 20 [4352/47500]	Loss: 0.2447	LR: 0.000800
Training Epoch: 20 [4608/47500]	Loss: 0.1619	LR: 0.000800
Training Epoch: 20 [4864/47500]	Loss: 0.2877	LR: 0.000800
Training Epoch: 20 [5120/47500]	Loss: 0.1889	LR: 0.000800
Training Epoch: 20 [5376/47500]	Loss: 0.2909	LR: 0.000800
Training Epoch: 20 [5632/47500]	Loss: 0.2867	LR: 0.000800
Training Epoch: 20 [5888/47500]	Loss: 0.3434	LR: 0.000800
Training Epoch: 20 [6144/47500]	Loss: 0.2712	LR: 0.000800
Training Epoch: 20 [6400/47500]	Loss: 0.2630	LR: 0.000800
Training Epoch: 20 [6656/47500]	Loss: 0.2803	LR: 0.000800
Training Epoch: 20 [6912/47500]	Loss: 0.3122	LR: 0.000800
Training Epoch: 20 [7168/47500]	Loss: 0.2700	LR: 0.000800
Training Epoch: 20 [7424/47500]	Loss: 0.1995	LR: 0.000800
Training Epoch: 20 [7680/47500]	Loss: 0.3273	LR: 0.000800
Training Epoch: 20 [7936/47500]	Loss: 0.2925	LR: 0.000800
Training Epoch: 20 [8192/47500]	Loss: 0.1964	LR: 0.000800
Training Epoch: 20 [8448/47500]	Loss: 0.2744	LR: 0.000800
Training Epoch: 20 [8704/47500]	Loss: 0.2528	LR: 0.000800
Training Epoch: 20 [8960/47500]	Loss: 0.2889	LR: 0.000800
Training Epoch: 20 [9216/47500]	Loss: 0.2776	LR: 0.000800
Training Epoch: 20 [9472/47500]	Loss: 0.3416	LR: 0.000800
Training Epoch: 20 [9728/47500]	Loss: 0.3043	LR: 0.000800
Training Epoch: 20 [9984/47500]	Loss: 0.2789	LR: 0.000800
Training Epoch: 20 [10240/47500]	Loss: 0.1850	LR: 0.000800
Training Epoch: 20 [10496/47500]	Loss: 0.2933	LR: 0.000800
Training Epoch: 20 [10752/47500]	Loss: 0.2130	LR: 0.000800
Training Epoch: 20 [11008/47500]	Loss: 0.2876	LR: 0.000800
Training Epoch: 20 [11264/47500]	Loss: 0.2843	LR: 0.000800
Training Epoch: 20 [11520/47500]	Loss: 0.2211	LR: 0.000800
Training Epoch: 20 [11776/47500]	Loss: 0.1800	LR: 0.000800
Training Epoch: 20 [12032/47500]	Loss: 0.2349	LR: 0.000800
Training Epoch: 20 [12288/47500]	Loss: 0.2504	LR: 0.000800
Training Epoch: 20 [12544/47500]	Loss: 0.3176	LR: 0.000800
Training Epoch: 20 [12800/47500]	Loss: 0.2839	LR: 0.000800
Training Epoch: 20 [13056/47500]	Loss: 0.2786	LR: 0.000800
Training Epoch: 20 [13312/47500]	Loss: 0.2460	LR: 0.000800
Training Epoch: 20 [13568/47500]	Loss: 0.3013	LR: 0.000800
Training Epoch: 20 [13824/47500]	Loss: 0.2210	LR: 0.000800
Training Epoch: 20 [14080/47500]	Loss: 0.3474	LR: 0.000800
Training Epoch: 20 [14336/47500]	Loss: 0.2686	LR: 0.000800
Training Epoch: 20 [14592/47500]	Loss: 0.2528	LR: 0.000800
Training Epoch: 20 [14848/47500]	Loss: 0.2449	LR: 0.000800
Training Epoch: 20 [15104/47500]	Loss: 0.2696	LR: 0.000800
Training Epoch: 20 [15360/47500]	Loss: 0.1908	LR: 0.000800
Training Epoch: 20 [15616/47500]	Loss: 0.3116	LR: 0.000800
Training Epoch: 20 [15872/47500]	Loss: 0.2853	LR: 0.000800
Training Epoch: 20 [16128/47500]	Loss: 0.2766	LR: 0.000800
Training Epoch: 20 [16384/47500]	Loss: 0.2338	LR: 0.000800
Training Epoch: 20 [16640/47500]	Loss: 0.3107	LR: 0.000800
Training Epoch: 20 [16896/47500]	Loss: 0.1561	LR: 0.000800
Training Epoch: 20 [17152/47500]	Loss: 0.2807	LR: 0.000800
Training Epoch: 20 [17408/47500]	Loss: 0.2078	LR: 0.000800
Training Epoch: 20 [17664/47500]	Loss: 0.2893	LR: 0.000800
Training Epoch: 20 [17920/47500]	Loss: 0.3330	LR: 0.000800
Training Epoch: 20 [18176/47500]	Loss: 0.1923	LR: 0.000800
Training Epoch: 20 [18432/47500]	Loss: 0.2181	LR: 0.000800
Training Epoch: 20 [18688/47500]	Loss: 0.2540	LR: 0.000800
Training Epoch: 20 [18944/47500]	Loss: 0.3105	LR: 0.000800
Training Epoch: 20 [19200/47500]	Loss: 0.2557	LR: 0.000800
Training Epoch: 20 [19456/47500]	Loss: 0.2110	LR: 0.000800
Training Epoch: 20 [19712/47500]	Loss: 0.2794	LR: 0.000800
Training Epoch: 20 [19968/47500]	Loss: 0.2426	LR: 0.000800
Training Epoch: 20 [20224/47500]	Loss: 0.2759	LR: 0.000800
Training Epoch: 20 [20480/47500]	Loss: 0.2966	LR: 0.000800
Training Epoch: 20 [20736/47500]	Loss: 0.2938	LR: 0.000800
Training Epoch: 20 [20992/47500]	Loss: 0.2196	LR: 0.000800
Training Epoch: 20 [21248/47500]	Loss: 0.2314	LR: 0.000800
Training Epoch: 20 [21504/47500]	Loss: 0.2221	LR: 0.000800
Training Epoch: 20 [21760/47500]	Loss: 0.2685	LR: 0.000800
Training Epoch: 20 [22016/47500]	Loss: 0.2031	LR: 0.000800
Training Epoch: 20 [22272/47500]	Loss: 0.2459	LR: 0.000800
Training Epoch: 20 [22528/47500]	Loss: 0.2790	LR: 0.000800
Training Epoch: 20 [22784/47500]	Loss: 0.2543	LR: 0.000800
Training Epoch: 20 [23040/47500]	Loss: 0.3077	LR: 0.000800
Training Epoch: 20 [23296/47500]	Loss: 0.2719	LR: 0.000800
Training Epoch: 20 [23552/47500]	Loss: 0.1959	LR: 0.000800
Training Epoch: 20 [23808/47500]	Loss: 0.3113	LR: 0.000800
Training Epoch: 20 [24064/47500]	Loss: 0.2677	LR: 0.000800
Training Epoch: 20 [24320/47500]	Loss: 0.2208	LR: 0.000800
Training Epoch: 20 [24576/47500]	Loss: 0.2602	LR: 0.000800
Training Epoch: 20 [24832/47500]	Loss: 0.2632	LR: 0.000800
Training Epoch: 20 [25088/47500]	Loss: 0.2464	LR: 0.000800
Training Epoch: 20 [25344/47500]	Loss: 0.1902	LR: 0.000800
Training Epoch: 20 [25600/47500]	Loss: 0.2424	LR: 0.000800
Training Epoch: 20 [25856/47500]	Loss: 0.2542	LR: 0.000800
Training Epoch: 20 [26112/47500]	Loss: 0.2571	LR: 0.000800
Training Epoch: 20 [26368/47500]	Loss: 0.2672	LR: 0.000800
Training Epoch: 20 [26624/47500]	Loss: 0.3349	LR: 0.000800
Training Epoch: 20 [26880/47500]	Loss: 0.2448	LR: 0.000800
Training Epoch: 20 [27136/47500]	Loss: 0.2679	LR: 0.000800
Training Epoch: 20 [27392/47500]	Loss: 0.2445	LR: 0.000800
Training Epoch: 20 [27648/47500]	Loss: 0.2095	LR: 0.000800
Training Epoch: 20 [27904/47500]	Loss: 0.2210	LR: 0.000800
Training Epoch: 20 [28160/47500]	Loss: 0.2918	LR: 0.000800
Training Epoch: 20 [28416/47500]	Loss: 0.2245	LR: 0.000800
Training Epoch: 20 [28672/47500]	Loss: 0.2694	LR: 0.000800
Training Epoch: 20 [28928/47500]	Loss: 0.2322	LR: 0.000800
Training Epoch: 20 [29184/47500]	Loss: 0.2478	LR: 0.000800
Training Epoch: 20 [29440/47500]	Loss: 0.2522	LR: 0.000800
Training Epoch: 20 [29696/47500]	Loss: 0.2684	LR: 0.000800
Training Epoch: 20 [29952/47500]	Loss: 0.3043	LR: 0.000800
Training Epoch: 20 [30208/47500]	Loss: 0.2604	LR: 0.000800
Training Epoch: 20 [30464/47500]	Loss: 0.2734	LR: 0.000800
Training Epoch: 20 [30720/47500]	Loss: 0.3417	LR: 0.000800
Training Epoch: 20 [30976/47500]	Loss: 0.2557	LR: 0.000800
Training Epoch: 20 [31232/47500]	Loss: 0.2579	LR: 0.000800
Training Epoch: 20 [31488/47500]	Loss: 0.3046	LR: 0.000800
Training Epoch: 20 [31744/47500]	Loss: 0.2718	LR: 0.000800
Training Epoch: 20 [32000/47500]	Loss: 0.2522	LR: 0.000800
Training Epoch: 20 [32256/47500]	Loss: 0.2329	LR: 0.000800
Training Epoch: 20 [32512/47500]	Loss: 0.2928	LR: 0.000800
Training Epoch: 20 [32768/47500]	Loss: 0.2997	LR: 0.000800
Training Epoch: 20 [33024/47500]	Loss: 0.2345	LR: 0.000800
Training Epoch: 20 [33280/47500]	Loss: 0.2464	LR: 0.000800
Training Epoch: 20 [33536/47500]	Loss: 0.2429	LR: 0.000800
Training Epoch: 20 [33792/47500]	Loss: 0.1639	LR: 0.000800
Training Epoch: 20 [34048/47500]	Loss: 0.2529	LR: 0.000800
Training Epoch: 20 [34304/47500]	Loss: 0.2539	LR: 0.000800
Training Epoch: 20 [34560/47500]	Loss: 0.2819	LR: 0.000800
Training Epoch: 20 [34816/47500]	Loss: 0.2861	LR: 0.000800
Training Epoch: 20 [35072/47500]	Loss: 0.1862	LR: 0.000800
Training Epoch: 20 [35328/47500]	Loss: 0.3039	LR: 0.000800
Training Epoch: 20 [35584/47500]	Loss: 0.2492	LR: 0.000800
Training Epoch: 20 [35840/47500]	Loss: 0.2440	LR: 0.000800
Training Epoch: 20 [36096/47500]	Loss: 0.2565	LR: 0.000800
Training Epoch: 20 [36352/47500]	Loss: 0.2619	LR: 0.000800
Training Epoch: 20 [36608/47500]	Loss: 0.2637	LR: 0.000800
Training Epoch: 20 [36864/47500]	Loss: 0.2201	LR: 0.000800
Training Epoch: 20 [37120/47500]	Loss: 0.3072	LR: 0.000800
Training Epoch: 20 [37376/47500]	Loss: 0.2083	LR: 0.000800
Training Epoch: 20 [37632/47500]	Loss: 0.2931	LR: 0.000800
Training Epoch: 20 [37888/47500]	Loss: 0.2485	LR: 0.000800
Training Epoch: 20 [38144/47500]	Loss: 0.2696	LR: 0.000800
Training Epoch: 20 [38400/47500]	Loss: 0.3160	LR: 0.000800
Training Epoch: 20 [38656/47500]	Loss: 0.2797	LR: 0.000800
Training Epoch: 20 [38912/47500]	Loss: 0.2140	LR: 0.000800
Training Epoch: 20 [39168/47500]	Loss: 0.2132	LR: 0.000800
Training Epoch: 20 [39424/47500]	Loss: 0.3087	LR: 0.000800
Training Epoch: 20 [39680/47500]	Loss: 0.1915	LR: 0.000800
Training Epoch: 20 [39936/47500]	Loss: 0.2374	LR: 0.000800
Training Epoch: 20 [40192/47500]	Loss: 0.2202	LR: 0.000800
Training Epoch: 20 [40448/47500]	Loss: 0.2474	LR: 0.000800
Training Epoch: 20 [40704/47500]	Loss: 0.3166	LR: 0.000800
Training Epoch: 20 [40960/47500]	Loss: 0.2421	LR: 0.000800
Training Epoch: 20 [41216/47500]	Loss: 0.2149	LR: 0.000800
Training Epoch: 20 [41472/47500]	Loss: 0.2264	LR: 0.000800
Training Epoch: 20 [41728/47500]	Loss: 0.2316	LR: 0.000800
Training Epoch: 20 [41984/47500]	Loss: 0.2309	LR: 0.000800
Training Epoch: 20 [42240/47500]	Loss: 0.2719	LR: 0.000800
Training Epoch: 20 [42496/47500]	Loss: 0.2824	LR: 0.000800
Training Epoch: 20 [42752/47500]	Loss: 0.2403	LR: 0.000800
Training Epoch: 20 [43008/47500]	Loss: 0.2495	LR: 0.000800
Training Epoch: 20 [43264/47500]	Loss: 0.3051	LR: 0.000800
Training Epoch: 20 [43520/47500]	Loss: 0.2538	LR: 0.000800
Training Epoch: 20 [43776/47500]	Loss: 0.2944	LR: 0.000800
Training Epoch: 20 [44032/47500]	Loss: 0.2404	LR: 0.000800
Training Epoch: 20 [44288/47500]	Loss: 0.3315	LR: 0.000800
Training Epoch: 20 [44544/47500]	Loss: 0.2263	LR: 0.000800
Training Epoch: 20 [44800/47500]	Loss: 0.1975	LR: 0.000800
Training Epoch: 20 [45056/47500]	Loss: 0.2160	LR: 0.000800
Training Epoch: 20 [45312/47500]	Loss: 0.3007	LR: 0.000800
Training Epoch: 20 [45568/47500]	Loss: 0.2676	LR: 0.000800
Training Epoch: 20 [45824/47500]	Loss: 0.3292	LR: 0.000800
Training Epoch: 20 [46080/47500]	Loss: 0.2964	LR: 0.000800
Training Epoch: 20 [46336/47500]	Loss: 0.2170	LR: 0.000800
Training Epoch: 20 [46592/47500]	Loss: 0.2351	LR: 0.000800
Training Epoch: 20 [46848/47500]	Loss: 0.3217	LR: 0.000800
Training Epoch: 20 [47104/47500]	Loss: 0.1846	LR: 0.000800
Training Epoch: 20 [47360/47500]	Loss: 0.3393	LR: 0.000800
Training Epoch: 20 [47500/47500]	Loss: 0.3102	LR: 0.000800
Epoch 20 - Average Train Loss: 0.2602, Train Accuracy: 0.9073
Epoch 20 training time consumed: 28.55s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0013, Accuracy: 0.8961, Time consumed:0.96s
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
Set1 Distribution: 2500 samples
Set2 Distribution: 2500 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Test Accuracy: 89.70703125
Retain Accuracy: 91.2740707397461
Zero-Retain Forget (ZRF): 0.8319090604782104
Membership Inference Attack (MIA): 0.6148
Forget vs Retain Membership Inference Attack (MIA): 0.512
Forget vs Test Membership Inference Attack (MIA): 0.541
Test vs Retain Membership Inference Attack (MIA): 0.5095
Train vs Test Membership Inference Attack (MIA): 0.525
Forget Set Accuracy (Df): 87.57572937011719
Method Execution Time: 1529.51 seconds
