hello
hello

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

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

📊 Updated class distribution:
Retain set:
  Class 0: 4750
  Class 1: 4750
  Class 2: 4750
  Class 3: 4750
  Class 4: 4750
  Class 5: 4750
  Class 6: 4750
  Class 7: 4750
  Class 8: 4750
  Class 9: 4750
Forget set:
  Class 0: 250
  Class 1: 250
  Class 2: 250
  Class 3: 250
  Class 4: 250
  Class 5: 250
  Class 6: 250
  Class 7: 250
  Class 8: 250
  Class 9: 250
hello
hello
⚠️ Warning: Retain train loader may not be shuffled.
Training Epoch: 1 [256/47500]	Loss: 2.5469	LR: 0.000000
Training Epoch: 1 [512/47500]	Loss: 2.4756	LR: 0.000538
Training Epoch: 1 [768/47500]	Loss: 2.5103	LR: 0.001075
Training Epoch: 1 [1024/47500]	Loss: 2.4276	LR: 0.001613
Training Epoch: 1 [1280/47500]	Loss: 2.3453	LR: 0.002151
Training Epoch: 1 [1536/47500]	Loss: 2.3351	LR: 0.002688
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Training Epoch: 1 [2048/47500]	Loss: 2.2731	LR: 0.003763
Training Epoch: 1 [2304/47500]	Loss: 2.2879	LR: 0.004301
Training Epoch: 1 [2560/47500]	Loss: 2.3028	LR: 0.004839
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Training Epoch: 1 [10240/47500]	Loss: 1.8665	LR: 0.020968
Training Epoch: 1 [10496/47500]	Loss: 1.6603	LR: 0.021505
Training Epoch: 1 [10752/47500]	Loss: 1.8321	LR: 0.022043
Training Epoch: 1 [11008/47500]	Loss: 1.7542	LR: 0.022581
Training Epoch: 1 [11264/47500]	Loss: 1.8542	LR: 0.023118
Training Epoch: 1 [11520/47500]	Loss: 1.8549	LR: 0.023656
Training Epoch: 1 [11776/47500]	Loss: 1.9853	LR: 0.024194
Training Epoch: 1 [12032/47500]	Loss: 1.7695	LR: 0.024731
Training Epoch: 1 [12288/47500]	Loss: 1.8046	LR: 0.025269
Training Epoch: 1 [12544/47500]	Loss: 1.7918	LR: 0.025806
Training Epoch: 1 [12800/47500]	Loss: 1.6918	LR: 0.026344
Training Epoch: 1 [13056/47500]	Loss: 1.7250	LR: 0.026882
Training Epoch: 1 [13312/47500]	Loss: 1.5794	LR: 0.027419
Training Epoch: 1 [13568/47500]	Loss: 1.7985	LR: 0.027957
Training Epoch: 1 [13824/47500]	Loss: 1.6887	LR: 0.028495
Training Epoch: 1 [14080/47500]	Loss: 1.7750	LR: 0.029032
Training Epoch: 1 [14336/47500]	Loss: 1.6589	LR: 0.029570
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Training Epoch: 1 [15872/47500]	Loss: 1.7652	LR: 0.032796
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Training Epoch: 1 [16384/47500]	Loss: 1.7698	LR: 0.033871
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Training Epoch: 1 [16896/47500]	Loss: 1.6154	LR: 0.034946
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Training Epoch: 1 [20480/47500]	Loss: 1.6506	LR: 0.042473
Training Epoch: 1 [20736/47500]	Loss: 1.5916	LR: 0.043011
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Training Epoch: 1 [22272/47500]	Loss: 1.6759	LR: 0.046237
Training Epoch: 1 [22528/47500]	Loss: 1.6839	LR: 0.046774
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Training Epoch: 1 [23552/47500]	Loss: 1.6989	LR: 0.048925
Training Epoch: 1 [23808/47500]	Loss: 1.7256	LR: 0.049462
Training Epoch: 1 [24064/47500]	Loss: 1.8484	LR: 0.050000
Training Epoch: 1 [24320/47500]	Loss: 1.8603	LR: 0.050538
Training Epoch: 1 [24576/47500]	Loss: 1.4318	LR: 0.051075
Training Epoch: 1 [24832/47500]	Loss: 1.6994	LR: 0.051613
Training Epoch: 1 [25088/47500]	Loss: 1.6706	LR: 0.052151
Training Epoch: 1 [25344/47500]	Loss: 1.7604	LR: 0.052688
Training Epoch: 1 [25600/47500]	Loss: 1.6871	LR: 0.053226
Training Epoch: 1 [25856/47500]	Loss: 1.4802	LR: 0.053763
Training Epoch: 1 [26112/47500]	Loss: 1.6162	LR: 0.054301
Training Epoch: 1 [26368/47500]	Loss: 1.5211	LR: 0.054839
Training Epoch: 1 [26624/47500]	Loss: 1.4514	LR: 0.055376
Training Epoch: 1 [26880/47500]	Loss: 1.5553	LR: 0.055914
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Training Epoch: 1 [27392/47500]	Loss: 1.6012	LR: 0.056989
Training Epoch: 1 [27648/47500]	Loss: 1.4587	LR: 0.057527
Training Epoch: 1 [27904/47500]	Loss: 1.5135	LR: 0.058065
Training Epoch: 1 [28160/47500]	Loss: 1.4975	LR: 0.058602
Training Epoch: 1 [28416/47500]	Loss: 1.5776	LR: 0.059140
Training Epoch: 1 [28672/47500]	Loss: 1.6134	LR: 0.059677
Training Epoch: 1 [28928/47500]	Loss: 1.6068	LR: 0.060215
Training Epoch: 1 [29184/47500]	Loss: 1.6153	LR: 0.060753
Training Epoch: 1 [29440/47500]	Loss: 1.3996	LR: 0.061290
Training Epoch: 1 [29696/47500]	Loss: 1.5891	LR: 0.061828
Training Epoch: 1 [29952/47500]	Loss: 1.5121	LR: 0.062366
Training Epoch: 1 [30208/47500]	Loss: 1.5609	LR: 0.062903
Training Epoch: 1 [30464/47500]	Loss: 1.4858	LR: 0.063441
Training Epoch: 1 [30720/47500]	Loss: 1.4194	LR: 0.063978
Training Epoch: 1 [30976/47500]	Loss: 1.4537	LR: 0.064516
Training Epoch: 1 [31232/47500]	Loss: 1.5147	LR: 0.065054
Training Epoch: 1 [31488/47500]	Loss: 1.4370	LR: 0.065591
Training Epoch: 1 [31744/47500]	Loss: 1.6331	LR: 0.066129
Training Epoch: 1 [32000/47500]	Loss: 1.4731	LR: 0.066667
Training Epoch: 1 [32256/47500]	Loss: 1.4096	LR: 0.067204
Training Epoch: 1 [32512/47500]	Loss: 1.5370	LR: 0.067742
Training Epoch: 1 [32768/47500]	Loss: 1.4346	LR: 0.068280
Training Epoch: 1 [33024/47500]	Loss: 1.6888	LR: 0.068817
Training Epoch: 1 [33280/47500]	Loss: 1.6103	LR: 0.069355
Training Epoch: 1 [33536/47500]	Loss: 1.7117	LR: 0.069892
Training Epoch: 1 [33792/47500]	Loss: 1.3890	LR: 0.070430
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Training Epoch: 1 [34304/47500]	Loss: 1.5305	LR: 0.071505
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Training Epoch: 1 [34816/47500]	Loss: 1.3896	LR: 0.072581
Training Epoch: 1 [35072/47500]	Loss: 1.6091	LR: 0.073118
Training Epoch: 1 [35328/47500]	Loss: 1.3929	LR: 0.073656
Training Epoch: 1 [35584/47500]	Loss: 1.5255	LR: 0.074194
Training Epoch: 1 [35840/47500]	Loss: 1.4665	LR: 0.074731
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Training Epoch: 1 [36352/47500]	Loss: 1.5018	LR: 0.075806
Training Epoch: 1 [36608/47500]	Loss: 1.4546	LR: 0.076344
Training Epoch: 1 [36864/47500]	Loss: 1.3765	LR: 0.076882
Training Epoch: 1 [37120/47500]	Loss: 1.6497	LR: 0.077419
Training Epoch: 1 [37376/47500]	Loss: 1.5568	LR: 0.077957
Training Epoch: 1 [37632/47500]	Loss: 1.4902	LR: 0.078495
Training Epoch: 1 [37888/47500]	Loss: 1.5083	LR: 0.079032
Training Epoch: 1 [38144/47500]	Loss: 1.4433	LR: 0.079570
Training Epoch: 1 [38400/47500]	Loss: 1.5642	LR: 0.080108
Training Epoch: 1 [38656/47500]	Loss: 1.4970	LR: 0.080645
Training Epoch: 1 [38912/47500]	Loss: 1.3936	LR: 0.081183
Training Epoch: 1 [39168/47500]	Loss: 1.5995	LR: 0.081720
Training Epoch: 1 [39424/47500]	Loss: 1.5691	LR: 0.082258
Training Epoch: 1 [39680/47500]	Loss: 1.5083	LR: 0.082796
Training Epoch: 1 [39936/47500]	Loss: 1.6028	LR: 0.083333
Training Epoch: 1 [40192/47500]	Loss: 1.6468	LR: 0.083871
Training Epoch: 1 [40448/47500]	Loss: 1.3246	LR: 0.084409
Training Epoch: 1 [40704/47500]	Loss: 1.6023	LR: 0.084946
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Training Epoch: 1 [41216/47500]	Loss: 1.4857	LR: 0.086022
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Training Epoch: 1 [41728/47500]	Loss: 1.6901	LR: 0.087097
Training Epoch: 1 [41984/47500]	Loss: 1.3945	LR: 0.087634
Training Epoch: 1 [42240/47500]	Loss: 1.4304	LR: 0.088172
Training Epoch: 1 [42496/47500]	Loss: 1.4137	LR: 0.088710
Training Epoch: 1 [42752/47500]	Loss: 1.3268	LR: 0.089247
Training Epoch: 1 [43008/47500]	Loss: 1.5061	LR: 0.089785
Training Epoch: 1 [43264/47500]	Loss: 1.4853	LR: 0.090323
Training Epoch: 1 [43520/47500]	Loss: 1.5594	LR: 0.090860
Training Epoch: 1 [43776/47500]	Loss: 1.5308	LR: 0.091398
Training Epoch: 1 [44032/47500]	Loss: 1.4388	LR: 0.091935
Training Epoch: 1 [44288/47500]	Loss: 1.4497	LR: 0.092473
Training Epoch: 1 [44544/47500]	Loss: 1.3681	LR: 0.093011
Training Epoch: 1 [44800/47500]	Loss: 1.5181	LR: 0.093548
Training Epoch: 1 [45056/47500]	Loss: 1.7103	LR: 0.094086
Training Epoch: 1 [45312/47500]	Loss: 1.7763	LR: 0.094624
Training Epoch: 1 [45568/47500]	Loss: 1.3472	LR: 0.095161
Training Epoch: 1 [45824/47500]	Loss: 1.6817	LR: 0.095699
Training Epoch: 1 [46080/47500]	Loss: 1.7300	LR: 0.096237
Training Epoch: 1 [46336/47500]	Loss: 1.4077	LR: 0.096774
Training Epoch: 1 [46592/47500]	Loss: 1.5988	LR: 0.097312
Training Epoch: 1 [46848/47500]	Loss: 1.5472	LR: 0.097849
Training Epoch: 1 [47104/47500]	Loss: 1.4546	LR: 0.098387
Training Epoch: 1 [47360/47500]	Loss: 1.3500	LR: 0.098925
Training Epoch: 1 [47500/47500]	Loss: 1.4664	LR: 0.099462
Epoch 1 - Average Train Loss: 1.7066, Train Accuracy: 0.3759
Epoch 1 training time consumed: 29.64s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0071, Accuracy: 0.4050, Time consumed:1.07s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_12h_45m_03s/ResNet18-Cifar10-seed9-ret50-1-best.pth
Training Epoch: 2 [256/47500]	Loss: 1.4904	LR: 0.100000
Training Epoch: 2 [512/47500]	Loss: 1.3758	LR: 0.100000
Training Epoch: 2 [768/47500]	Loss: 1.3539	LR: 0.100000
Training Epoch: 2 [1024/47500]	Loss: 1.4940	LR: 0.100000
Training Epoch: 2 [1280/47500]	Loss: 1.3135	LR: 0.100000
Training Epoch: 2 [1536/47500]	Loss: 1.3101	LR: 0.100000
Training Epoch: 2 [1792/47500]	Loss: 1.4900	LR: 0.100000
Training Epoch: 2 [2048/47500]	Loss: 1.4786	LR: 0.100000
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Training Epoch: 2 [2560/47500]	Loss: 1.4624	LR: 0.100000
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Training Epoch: 2 [3072/47500]	Loss: 1.4126	LR: 0.100000
Training Epoch: 2 [3328/47500]	Loss: 1.2931	LR: 0.100000
Training Epoch: 2 [3584/47500]	Loss: 1.4655	LR: 0.100000
Training Epoch: 2 [3840/47500]	Loss: 1.3889	LR: 0.100000
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Training Epoch: 2 [4352/47500]	Loss: 1.4056	LR: 0.100000
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Training Epoch: 2 [22528/47500]	Loss: 1.1952	LR: 0.100000
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Training Epoch: 2 [47360/47500]	Loss: 1.0391	LR: 0.100000
Training Epoch: 2 [47500/47500]	Loss: 0.9795	LR: 0.100000
Epoch 2 - Average Train Loss: 1.1843, Train Accuracy: 0.5779
Epoch 2 training time consumed: 28.59s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0059, Accuracy: 0.5180, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_12h_45m_03s/ResNet18-Cifar10-seed9-ret50-2-best.pth
Training Epoch: 3 [256/47500]	Loss: 1.0361	LR: 0.100000
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Training Epoch: 3 [47500/47500]	Loss: 0.8131	LR: 0.100000
Epoch 3 - Average Train Loss: 0.9287, Train Accuracy: 0.6708
Epoch 3 training time consumed: 28.58s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0036, Accuracy: 0.6973, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_12h_45m_03s/ResNet18-Cifar10-seed9-ret50-3-best.pth
Training Epoch: 4 [256/47500]	Loss: 0.8563	LR: 0.100000
Training Epoch: 4 [512/47500]	Loss: 0.9497	LR: 0.100000
Training Epoch: 4 [768/47500]	Loss: 0.8116	LR: 0.100000
Training Epoch: 4 [1024/47500]	Loss: 0.8925	LR: 0.100000
Training Epoch: 4 [1280/47500]	Loss: 0.8896	LR: 0.100000
Training Epoch: 4 [1536/47500]	Loss: 0.8247	LR: 0.100000
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Training Epoch: 4 [2048/47500]	Loss: 0.8992	LR: 0.100000
Training Epoch: 4 [2304/47500]	Loss: 0.6948	LR: 0.100000
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Training Epoch: 4 [19712/47500]	Loss: 1.1252	LR: 0.100000
Training Epoch: 4 [19968/47500]	Loss: 0.7863	LR: 0.100000
Training Epoch: 4 [20224/47500]	Loss: 0.8085	LR: 0.100000
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Training Epoch: 4 [22016/47500]	Loss: 0.8200	LR: 0.100000
Training Epoch: 4 [22272/47500]	Loss: 0.6672	LR: 0.100000
Training Epoch: 4 [22528/47500]	Loss: 0.8184	LR: 0.100000
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Training Epoch: 4 [23552/47500]	Loss: 0.8111	LR: 0.100000
Training Epoch: 4 [23808/47500]	Loss: 0.8097	LR: 0.100000
Training Epoch: 4 [24064/47500]	Loss: 0.7166	LR: 0.100000
Training Epoch: 4 [24320/47500]	Loss: 0.7505	LR: 0.100000
Training Epoch: 4 [24576/47500]	Loss: 0.7743	LR: 0.100000
Training Epoch: 4 [24832/47500]	Loss: 0.7738	LR: 0.100000
Training Epoch: 4 [25088/47500]	Loss: 0.7652	LR: 0.100000
Training Epoch: 4 [25344/47500]	Loss: 0.6810	LR: 0.100000
Training Epoch: 4 [25600/47500]	Loss: 0.7701	LR: 0.100000
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Training Epoch: 4 [26112/47500]	Loss: 0.7446	LR: 0.100000
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Training Epoch: 4 [26624/47500]	Loss: 0.7811	LR: 0.100000
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Training Epoch: 4 [27136/47500]	Loss: 0.7144	LR: 0.100000
Training Epoch: 4 [27392/47500]	Loss: 0.7807	LR: 0.100000
Training Epoch: 4 [27648/47500]	Loss: 0.7158	LR: 0.100000
Training Epoch: 4 [27904/47500]	Loss: 0.7184	LR: 0.100000
Training Epoch: 4 [28160/47500]	Loss: 0.8253	LR: 0.100000
Training Epoch: 4 [28416/47500]	Loss: 0.7972	LR: 0.100000
Training Epoch: 4 [28672/47500]	Loss: 0.8475	LR: 0.100000
Training Epoch: 4 [28928/47500]	Loss: 0.7811	LR: 0.100000
Training Epoch: 4 [29184/47500]	Loss: 0.8440	LR: 0.100000
Training Epoch: 4 [29440/47500]	Loss: 0.7394	LR: 0.100000
Training Epoch: 4 [29696/47500]	Loss: 0.7967	LR: 0.100000
Training Epoch: 4 [29952/47500]	Loss: 0.8564	LR: 0.100000
Training Epoch: 4 [30208/47500]	Loss: 0.8140	LR: 0.100000
Training Epoch: 4 [30464/47500]	Loss: 0.7190	LR: 0.100000
Training Epoch: 4 [30720/47500]	Loss: 0.7552	LR: 0.100000
Training Epoch: 4 [30976/47500]	Loss: 0.8581	LR: 0.100000
Training Epoch: 4 [31232/47500]	Loss: 0.8200	LR: 0.100000
Training Epoch: 4 [31488/47500]	Loss: 0.7957	LR: 0.100000
Training Epoch: 4 [31744/47500]	Loss: 0.7445	LR: 0.100000
Training Epoch: 4 [32000/47500]	Loss: 0.7753	LR: 0.100000
Training Epoch: 4 [32256/47500]	Loss: 0.8562	LR: 0.100000
Training Epoch: 4 [32512/47500]	Loss: 0.7538	LR: 0.100000
Training Epoch: 4 [32768/47500]	Loss: 0.7608	LR: 0.100000
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Training Epoch: 4 [34816/47500]	Loss: 0.8065	LR: 0.100000
Training Epoch: 4 [35072/47500]	Loss: 0.8647	LR: 0.100000
Training Epoch: 4 [35328/47500]	Loss: 0.7475	LR: 0.100000
Training Epoch: 4 [35584/47500]	Loss: 0.7134	LR: 0.100000
Training Epoch: 4 [35840/47500]	Loss: 0.7593	LR: 0.100000
Training Epoch: 4 [36096/47500]	Loss: 0.7334	LR: 0.100000
Training Epoch: 4 [36352/47500]	Loss: 0.7819	LR: 0.100000
Training Epoch: 4 [36608/47500]	Loss: 0.8527	LR: 0.100000
Training Epoch: 4 [36864/47500]	Loss: 0.8374	LR: 0.100000
Training Epoch: 4 [37120/47500]	Loss: 0.7275	LR: 0.100000
Training Epoch: 4 [37376/47500]	Loss: 0.6662	LR: 0.100000
Training Epoch: 4 [37632/47500]	Loss: 0.6875	LR: 0.100000
Training Epoch: 4 [37888/47500]	Loss: 0.7786	LR: 0.100000
Training Epoch: 4 [38144/47500]	Loss: 0.8616	LR: 0.100000
Training Epoch: 4 [38400/47500]	Loss: 0.8053	LR: 0.100000
Training Epoch: 4 [38656/47500]	Loss: 0.6754	LR: 0.100000
Training Epoch: 4 [38912/47500]	Loss: 0.8107	LR: 0.100000
Training Epoch: 4 [39168/47500]	Loss: 0.7474	LR: 0.100000
Training Epoch: 4 [39424/47500]	Loss: 0.7847	LR: 0.100000
Training Epoch: 4 [39680/47500]	Loss: 0.7261	LR: 0.100000
Training Epoch: 4 [39936/47500]	Loss: 0.7818	LR: 0.100000
Training Epoch: 4 [40192/47500]	Loss: 0.7528	LR: 0.100000
Training Epoch: 4 [40448/47500]	Loss: 0.8440	LR: 0.100000
Training Epoch: 4 [40704/47500]	Loss: 0.9890	LR: 0.100000
Training Epoch: 4 [40960/47500]	Loss: 0.8123	LR: 0.100000
Training Epoch: 4 [41216/47500]	Loss: 0.6619	LR: 0.100000
Training Epoch: 4 [41472/47500]	Loss: 0.7991	LR: 0.100000
Training Epoch: 4 [41728/47500]	Loss: 0.7719	LR: 0.100000
Training Epoch: 4 [41984/47500]	Loss: 0.8679	LR: 0.100000
Training Epoch: 4 [42240/47500]	Loss: 0.7363	LR: 0.100000
Training Epoch: 4 [42496/47500]	Loss: 0.8543	LR: 0.100000
Training Epoch: 4 [42752/47500]	Loss: 0.7728	LR: 0.100000
Training Epoch: 4 [43008/47500]	Loss: 0.7519	LR: 0.100000
Training Epoch: 4 [43264/47500]	Loss: 0.8956	LR: 0.100000
Training Epoch: 4 [43520/47500]	Loss: 0.6747	LR: 0.100000
Training Epoch: 4 [43776/47500]	Loss: 0.6929	LR: 0.100000
Training Epoch: 4 [44032/47500]	Loss: 0.7730	LR: 0.100000
Training Epoch: 4 [44288/47500]	Loss: 0.8025	LR: 0.100000
Training Epoch: 4 [44544/47500]	Loss: 0.7247	LR: 0.100000
Training Epoch: 4 [44800/47500]	Loss: 0.6944	LR: 0.100000
Training Epoch: 4 [45056/47500]	Loss: 0.8187	LR: 0.100000
Training Epoch: 4 [45312/47500]	Loss: 0.9086	LR: 0.100000
Training Epoch: 4 [45568/47500]	Loss: 0.7648	LR: 0.100000
Training Epoch: 4 [45824/47500]	Loss: 0.7477	LR: 0.100000
Training Epoch: 4 [46080/47500]	Loss: 0.8771	LR: 0.100000
Training Epoch: 4 [46336/47500]	Loss: 0.6922	LR: 0.100000
Training Epoch: 4 [46592/47500]	Loss: 0.8174	LR: 0.100000
Training Epoch: 4 [46848/47500]	Loss: 0.7099	LR: 0.100000
Training Epoch: 4 [47104/47500]	Loss: 0.7492	LR: 0.100000
Training Epoch: 4 [47360/47500]	Loss: 0.6204	LR: 0.100000
Training Epoch: 4 [47500/47500]	Loss: 0.7919	LR: 0.100000
Epoch 4 - Average Train Loss: 0.7982, Train Accuracy: 0.7213
Epoch 4 training time consumed: 28.69s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0039, Accuracy: 0.6752, Time consumed:0.90s
Training Epoch: 5 [256/47500]	Loss: 0.7313	LR: 0.100000
Training Epoch: 5 [512/47500]	Loss: 0.7018	LR: 0.100000
Training Epoch: 5 [768/47500]	Loss: 0.7072	LR: 0.100000
Training Epoch: 5 [1024/47500]	Loss: 0.7332	LR: 0.100000
Training Epoch: 5 [1280/47500]	Loss: 0.7876	LR: 0.100000
Training Epoch: 5 [1536/47500]	Loss: 0.8260	LR: 0.100000
Training Epoch: 5 [1792/47500]	Loss: 0.5925	LR: 0.100000
Training Epoch: 5 [2048/47500]	Loss: 0.7833	LR: 0.100000
Training Epoch: 5 [2304/47500]	Loss: 0.7099	LR: 0.100000
Training Epoch: 5 [2560/47500]	Loss: 0.7147	LR: 0.100000
Training Epoch: 5 [2816/47500]	Loss: 0.7129	LR: 0.100000
Training Epoch: 5 [3072/47500]	Loss: 0.6943	LR: 0.100000
Training Epoch: 5 [3328/47500]	Loss: 0.6846	LR: 0.100000
Training Epoch: 5 [3584/47500]	Loss: 0.6445	LR: 0.100000
Training Epoch: 5 [3840/47500]	Loss: 0.8039	LR: 0.100000
Training Epoch: 5 [4096/47500]	Loss: 0.6440	LR: 0.100000
Training Epoch: 5 [4352/47500]	Loss: 0.6742	LR: 0.100000
Training Epoch: 5 [4608/47500]	Loss: 0.6002	LR: 0.100000
Training Epoch: 5 [4864/47500]	Loss: 0.6454	LR: 0.100000
Training Epoch: 5 [5120/47500]	Loss: 0.7220	LR: 0.100000
Training Epoch: 5 [5376/47500]	Loss: 0.9033	LR: 0.100000
Training Epoch: 5 [5632/47500]	Loss: 0.7149	LR: 0.100000
Training Epoch: 5 [5888/47500]	Loss: 0.8175	LR: 0.100000
Training Epoch: 5 [6144/47500]	Loss: 0.7902	LR: 0.100000
Training Epoch: 5 [6400/47500]	Loss: 0.8891	LR: 0.100000
Training Epoch: 5 [6656/47500]	Loss: 0.8456	LR: 0.100000
Training Epoch: 5 [6912/47500]	Loss: 0.9003	LR: 0.100000
Training Epoch: 5 [7168/47500]	Loss: 0.7606	LR: 0.100000
Training Epoch: 5 [7424/47500]	Loss: 0.6601	LR: 0.100000
Training Epoch: 5 [7680/47500]	Loss: 0.8008	LR: 0.100000
Training Epoch: 5 [7936/47500]	Loss: 0.6981	LR: 0.100000
Training Epoch: 5 [8192/47500]	Loss: 0.7343	LR: 0.100000
Training Epoch: 5 [8448/47500]	Loss: 0.7703	LR: 0.100000
Training Epoch: 5 [8704/47500]	Loss: 0.6801	LR: 0.100000
Training Epoch: 5 [8960/47500]	Loss: 0.7086	LR: 0.100000
Training Epoch: 5 [9216/47500]	Loss: 0.6757	LR: 0.100000
Training Epoch: 5 [9472/47500]	Loss: 0.7632	LR: 0.100000
Training Epoch: 5 [9728/47500]	Loss: 0.7061	LR: 0.100000
Training Epoch: 5 [9984/47500]	Loss: 0.7616	LR: 0.100000
Training Epoch: 5 [10240/47500]	Loss: 0.7394	LR: 0.100000
Training Epoch: 5 [10496/47500]	Loss: 0.6210	LR: 0.100000
Training Epoch: 5 [10752/47500]	Loss: 0.7124	LR: 0.100000
Training Epoch: 5 [11008/47500]	Loss: 0.6772	LR: 0.100000
Training Epoch: 5 [11264/47500]	Loss: 0.7449	LR: 0.100000
Training Epoch: 5 [11520/47500]	Loss: 0.8171	LR: 0.100000
Training Epoch: 5 [11776/47500]	Loss: 0.6613	LR: 0.100000
Training Epoch: 5 [12032/47500]	Loss: 0.6155	LR: 0.100000
Training Epoch: 5 [12288/47500]	Loss: 0.7495	LR: 0.100000
Training Epoch: 5 [12544/47500]	Loss: 0.6824	LR: 0.100000
Training Epoch: 5 [12800/47500]	Loss: 0.6741	LR: 0.100000
Training Epoch: 5 [13056/47500]	Loss: 0.7729	LR: 0.100000
Training Epoch: 5 [13312/47500]	Loss: 0.5689	LR: 0.100000
Training Epoch: 5 [13568/47500]	Loss: 0.6918	LR: 0.100000
Training Epoch: 5 [13824/47500]	Loss: 0.7964	LR: 0.100000
Training Epoch: 5 [14080/47500]	Loss: 0.7088	LR: 0.100000
Training Epoch: 5 [14336/47500]	Loss: 0.6848	LR: 0.100000
Training Epoch: 5 [14592/47500]	Loss: 0.6700	LR: 0.100000
Training Epoch: 5 [14848/47500]	Loss: 0.6975	LR: 0.100000
Training Epoch: 5 [15104/47500]	Loss: 0.7390	LR: 0.100000
Training Epoch: 5 [15360/47500]	Loss: 0.7158	LR: 0.100000
Training Epoch: 5 [15616/47500]	Loss: 0.6079	LR: 0.100000
Training Epoch: 5 [15872/47500]	Loss: 0.7518	LR: 0.100000
Training Epoch: 5 [16128/47500]	Loss: 0.6404	LR: 0.100000
Training Epoch: 5 [16384/47500]	Loss: 0.7926	LR: 0.100000
Training Epoch: 5 [16640/47500]	Loss: 0.7095	LR: 0.100000
Training Epoch: 5 [16896/47500]	Loss: 0.6960	LR: 0.100000
Training Epoch: 5 [17152/47500]	Loss: 0.5806	LR: 0.100000
Training Epoch: 5 [17408/47500]	Loss: 0.7202	LR: 0.100000
Training Epoch: 5 [17664/47500]	Loss: 0.7645	LR: 0.100000
Training Epoch: 5 [17920/47500]	Loss: 0.6469	LR: 0.100000
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Training Epoch: 5 [18688/47500]	Loss: 0.8114	LR: 0.100000
Training Epoch: 5 [18944/47500]	Loss: 0.7808	LR: 0.100000
Training Epoch: 5 [19200/47500]	Loss: 0.6743	LR: 0.100000
Training Epoch: 5 [19456/47500]	Loss: 0.6909	LR: 0.100000
Training Epoch: 5 [19712/47500]	Loss: 0.6934	LR: 0.100000
Training Epoch: 5 [19968/47500]	Loss: 0.7225	LR: 0.100000
Training Epoch: 5 [20224/47500]	Loss: 0.7431	LR: 0.100000
Training Epoch: 5 [20480/47500]	Loss: 0.7432	LR: 0.100000
Training Epoch: 5 [20736/47500]	Loss: 0.7703	LR: 0.100000
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Training Epoch: 5 [22016/47500]	Loss: 0.7140	LR: 0.100000
Training Epoch: 5 [22272/47500]	Loss: 0.8573	LR: 0.100000
Training Epoch: 5 [22528/47500]	Loss: 0.6984	LR: 0.100000
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Training Epoch: 5 [23040/47500]	Loss: 0.6663	LR: 0.100000
Training Epoch: 5 [23296/47500]	Loss: 0.7049	LR: 0.100000
Training Epoch: 5 [23552/47500]	Loss: 0.6831	LR: 0.100000
Training Epoch: 5 [23808/47500]	Loss: 0.7206	LR: 0.100000
Training Epoch: 5 [24064/47500]	Loss: 0.7692	LR: 0.100000
Training Epoch: 5 [24320/47500]	Loss: 0.7853	LR: 0.100000
Training Epoch: 5 [24576/47500]	Loss: 0.7099	LR: 0.100000
Training Epoch: 5 [24832/47500]	Loss: 0.7459	LR: 0.100000
Training Epoch: 5 [25088/47500]	Loss: 0.7367	LR: 0.100000
Training Epoch: 5 [25344/47500]	Loss: 0.7385	LR: 0.100000
Training Epoch: 5 [25600/47500]	Loss: 0.6952	LR: 0.100000
Training Epoch: 5 [25856/47500]	Loss: 0.6973	LR: 0.100000
Training Epoch: 5 [26112/47500]	Loss: 0.6863	LR: 0.100000
Training Epoch: 5 [26368/47500]	Loss: 0.7802	LR: 0.100000
Training Epoch: 5 [26624/47500]	Loss: 0.8769	LR: 0.100000
Training Epoch: 5 [26880/47500]	Loss: 0.7003	LR: 0.100000
Training Epoch: 5 [27136/47500]	Loss: 0.6345	LR: 0.100000
Training Epoch: 5 [27392/47500]	Loss: 0.7355	LR: 0.100000
Training Epoch: 5 [27648/47500]	Loss: 0.7415	LR: 0.100000
Training Epoch: 5 [27904/47500]	Loss: 0.6329	LR: 0.100000
Training Epoch: 5 [28160/47500]	Loss: 0.6283	LR: 0.100000
Training Epoch: 5 [28416/47500]	Loss: 0.6507	LR: 0.100000
Training Epoch: 5 [28672/47500]	Loss: 0.6289	LR: 0.100000
Training Epoch: 5 [28928/47500]	Loss: 0.6942	LR: 0.100000
Training Epoch: 5 [29184/47500]	Loss: 0.6605	LR: 0.100000
Training Epoch: 5 [29440/47500]	Loss: 0.6782	LR: 0.100000
Training Epoch: 5 [29696/47500]	Loss: 0.7138	LR: 0.100000
Training Epoch: 5 [29952/47500]	Loss: 0.6730	LR: 0.100000
Training Epoch: 5 [30208/47500]	Loss: 0.6852	LR: 0.100000
Training Epoch: 5 [30464/47500]	Loss: 0.8101	LR: 0.100000
Training Epoch: 5 [30720/47500]	Loss: 0.6892	LR: 0.100000
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Epoch 5 - Average Train Loss: 0.7060, Train Accuracy: 0.7528
Epoch 5 training time consumed: 28.57s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0035, Accuracy: 0.7224, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_12h_45m_03s/ResNet18-Cifar10-seed9-ret50-5-best.pth
Training Epoch: 6 [256/47500]	Loss: 0.6046	LR: 0.100000
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Epoch 6 - Average Train Loss: 0.6429, Train Accuracy: 0.7762
Epoch 6 training time consumed: 28.89s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0030, Accuracy: 0.7528, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_12h_45m_03s/ResNet18-Cifar10-seed9-ret50-6-best.pth
Training Epoch: 7 [256/47500]	Loss: 0.6027	LR: 0.100000
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Training Epoch: 7 [47500/47500]	Loss: 0.6811	LR: 0.100000
Epoch 7 - Average Train Loss: 0.6006, Train Accuracy: 0.7902
Epoch 7 training time consumed: 28.55s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0023, Accuracy: 0.8047, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_12h_45m_03s/ResNet18-Cifar10-seed9-ret50-7-best.pth
Training Epoch: 8 [256/47500]	Loss: 0.6240	LR: 0.020000
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Training Epoch: 8 [47500/47500]	Loss: 0.3764	LR: 0.020000
Epoch 8 - Average Train Loss: 0.4443, Train Accuracy: 0.8458
Epoch 8 training time consumed: 28.59s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0017, Accuracy: 0.8555, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_12h_45m_03s/ResNet18-Cifar10-seed9-ret50-8-best.pth
Training Epoch: 9 [256/47500]	Loss: 0.3786	LR: 0.020000
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Training Epoch: 9 [47500/47500]	Loss: 0.3430	LR: 0.020000
Epoch 9 - Average Train Loss: 0.3990, Train Accuracy: 0.8604
Epoch 9 training time consumed: 28.60s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0016, Accuracy: 0.8643, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_12h_45m_03s/ResNet18-Cifar10-seed9-ret50-9-best.pth
Training Epoch: 10 [256/47500]	Loss: 0.3378	LR: 0.020000
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Training Epoch: 10 [47500/47500]	Loss: 0.4986	LR: 0.020000
Epoch 10 - Average Train Loss: 0.3781, Train Accuracy: 0.8687
Epoch 10 training time consumed: 28.76s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0016, Accuracy: 0.8661, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_12h_45m_03s/ResNet18-Cifar10-seed9-ret50-10-best.pth
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Training Epoch: 11 [47360/47500]	Loss: 0.2974	LR: 0.020000
Training Epoch: 11 [47500/47500]	Loss: 0.4583	LR: 0.020000
Epoch 11 - Average Train Loss: 0.3628, Train Accuracy: 0.8761
Epoch 11 training time consumed: 28.59s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0015, Accuracy: 0.8724, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_12h_45m_03s/ResNet18-Cifar10-seed9-ret50-11-best.pth
Training Epoch: 12 [256/47500]	Loss: 0.3205	LR: 0.004000
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Training Epoch: 12 [47500/47500]	Loss: 0.2950	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3183, Train Accuracy: 0.8883
Epoch 12 training time consumed: 28.65s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0014, Accuracy: 0.8832, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_12h_45m_03s/ResNet18-Cifar10-seed9-ret50-12-best.pth
Training Epoch: 13 [256/47500]	Loss: 0.3097	LR: 0.004000
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Training Epoch: 13 [47500/47500]	Loss: 0.2625	LR: 0.004000
Epoch 13 - Average Train Loss: 0.3062, Train Accuracy: 0.8940
Epoch 13 training time consumed: 28.62s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0014, Accuracy: 0.8838, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_12h_45m_03s/ResNet18-Cifar10-seed9-ret50-13-best.pth
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Training Epoch: 14 [47360/47500]	Loss: 0.2873	LR: 0.004000
Training Epoch: 14 [47500/47500]	Loss: 0.2317	LR: 0.004000
Epoch 14 - Average Train Loss: 0.2939, Train Accuracy: 0.8983
Epoch 14 training time consumed: 28.66s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0014, Accuracy: 0.8893, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_12h_45m_03s/ResNet18-Cifar10-seed9-ret50-14-best.pth
Training Epoch: 15 [256/47500]	Loss: 0.2752	LR: 0.004000
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Training Epoch: 15 [46592/47500]	Loss: 0.2383	LR: 0.004000
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Training Epoch: 15 [47360/47500]	Loss: 0.3074	LR: 0.004000
Training Epoch: 15 [47500/47500]	Loss: 0.2661	LR: 0.004000
Epoch 15 - Average Train Loss: 0.2903, Train Accuracy: 0.8999
Epoch 15 training time consumed: 28.63s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0014, Accuracy: 0.8844, Time consumed:0.88s
Training Epoch: 16 [256/47500]	Loss: 0.2582	LR: 0.000800
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Training Epoch: 16 [47500/47500]	Loss: 0.2473	LR: 0.000800
Epoch 16 - Average Train Loss: 0.2747, Train Accuracy: 0.9056
Epoch 16 training time consumed: 28.91s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0013, Accuracy: 0.8895, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_12h_45m_03s/ResNet18-Cifar10-seed9-ret50-16-best.pth
Training Epoch: 17 [256/47500]	Loss: 0.3649	LR: 0.000800
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Training Epoch: 17 [44544/47500]	Loss: 0.2397	LR: 0.000800
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Training Epoch: 17 [46336/47500]	Loss: 0.2890	LR: 0.000800
Training Epoch: 17 [46592/47500]	Loss: 0.3498	LR: 0.000800
Training Epoch: 17 [46848/47500]	Loss: 0.2967	LR: 0.000800
Training Epoch: 17 [47104/47500]	Loss: 0.2902	LR: 0.000800
Training Epoch: 17 [47360/47500]	Loss: 0.2435	LR: 0.000800
Training Epoch: 17 [47500/47500]	Loss: 0.2211	LR: 0.000800
Epoch 17 - Average Train Loss: 0.2723, Train Accuracy: 0.9058
Epoch 17 training time consumed: 28.85s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0013, Accuracy: 0.8896, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_12h_45m_03s/ResNet18-Cifar10-seed9-ret50-17-best.pth
Training Epoch: 18 [256/47500]	Loss: 0.2269	LR: 0.000800
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Training Epoch: 18 [768/47500]	Loss: 0.3370	LR: 0.000800
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Training Epoch: 18 [44288/47500]	Loss: 0.3276	LR: 0.000800
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Training Epoch: 18 [45056/47500]	Loss: 0.2561	LR: 0.000800
Training Epoch: 18 [45312/47500]	Loss: 0.2274	LR: 0.000800
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Training Epoch: 18 [45824/47500]	Loss: 0.2749	LR: 0.000800
Training Epoch: 18 [46080/47500]	Loss: 0.3066	LR: 0.000800
Training Epoch: 18 [46336/47500]	Loss: 0.2946	LR: 0.000800
Training Epoch: 18 [46592/47500]	Loss: 0.2540	LR: 0.000800
Training Epoch: 18 [46848/47500]	Loss: 0.2140	LR: 0.000800
Training Epoch: 18 [47104/47500]	Loss: 0.2985	LR: 0.000800
Training Epoch: 18 [47360/47500]	Loss: 0.2658	LR: 0.000800
Training Epoch: 18 [47500/47500]	Loss: 0.3389	LR: 0.000800
Epoch 18 - Average Train Loss: 0.2731, Train Accuracy: 0.9054
Epoch 18 training time consumed: 28.82s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0013, Accuracy: 0.8887, Time consumed:0.92s
Training Epoch: 19 [256/47500]	Loss: 0.3164	LR: 0.000800
Training Epoch: 19 [512/47500]	Loss: 0.2403	LR: 0.000800
Training Epoch: 19 [768/47500]	Loss: 0.2948	LR: 0.000800
Training Epoch: 19 [1024/47500]	Loss: 0.2700	LR: 0.000800
Training Epoch: 19 [1280/47500]	Loss: 0.3248	LR: 0.000800
Training Epoch: 19 [1536/47500]	Loss: 0.2268	LR: 0.000800
Training Epoch: 19 [1792/47500]	Loss: 0.2339	LR: 0.000800
Training Epoch: 19 [2048/47500]	Loss: 0.2345	LR: 0.000800
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Training Epoch: 19 [2560/47500]	Loss: 0.2501	LR: 0.000800
Training Epoch: 19 [2816/47500]	Loss: 0.1837	LR: 0.000800
Training Epoch: 19 [3072/47500]	Loss: 0.1758	LR: 0.000800
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Training Epoch: 19 [3584/47500]	Loss: 0.2598	LR: 0.000800
Training Epoch: 19 [3840/47500]	Loss: 0.2062	LR: 0.000800
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Training Epoch: 19 [4352/47500]	Loss: 0.2176	LR: 0.000800
Training Epoch: 19 [4608/47500]	Loss: 0.2831	LR: 0.000800
Training Epoch: 19 [4864/47500]	Loss: 0.2544	LR: 0.000800
Training Epoch: 19 [5120/47500]	Loss: 0.2613	LR: 0.000800
Training Epoch: 19 [5376/47500]	Loss: 0.3717	LR: 0.000800
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Training Epoch: 19 [21760/47500]	Loss: 0.2163	LR: 0.000800
Training Epoch: 19 [22016/47500]	Loss: 0.2896	LR: 0.000800
Training Epoch: 19 [22272/47500]	Loss: 0.3427	LR: 0.000800
Training Epoch: 19 [22528/47500]	Loss: 0.2298	LR: 0.000800
Training Epoch: 19 [22784/47500]	Loss: 0.2589	LR: 0.000800
Training Epoch: 19 [23040/47500]	Loss: 0.2745	LR: 0.000800
Training Epoch: 19 [23296/47500]	Loss: 0.2197	LR: 0.000800
Training Epoch: 19 [23552/47500]	Loss: 0.2223	LR: 0.000800
Training Epoch: 19 [23808/47500]	Loss: 0.3278	LR: 0.000800
Training Epoch: 19 [24064/47500]	Loss: 0.1582	LR: 0.000800
Training Epoch: 19 [24320/47500]	Loss: 0.2982	LR: 0.000800
Training Epoch: 19 [24576/47500]	Loss: 0.2788	LR: 0.000800
Training Epoch: 19 [24832/47500]	Loss: 0.3260	LR: 0.000800
Training Epoch: 19 [25088/47500]	Loss: 0.2521	LR: 0.000800
Training Epoch: 19 [25344/47500]	Loss: 0.3798	LR: 0.000800
Training Epoch: 19 [25600/47500]	Loss: 0.3090	LR: 0.000800
Training Epoch: 19 [25856/47500]	Loss: 0.3085	LR: 0.000800
Training Epoch: 19 [26112/47500]	Loss: 0.2674	LR: 0.000800
Training Epoch: 19 [26368/47500]	Loss: 0.2418	LR: 0.000800
Training Epoch: 19 [26624/47500]	Loss: 0.2888	LR: 0.000800
Training Epoch: 19 [26880/47500]	Loss: 0.2208	LR: 0.000800
Training Epoch: 19 [27136/47500]	Loss: 0.3199	LR: 0.000800
Training Epoch: 19 [27392/47500]	Loss: 0.2732	LR: 0.000800
Training Epoch: 19 [27648/47500]	Loss: 0.3187	LR: 0.000800
Training Epoch: 19 [27904/47500]	Loss: 0.3090	LR: 0.000800
Training Epoch: 19 [28160/47500]	Loss: 0.2157	LR: 0.000800
Training Epoch: 19 [28416/47500]	Loss: 0.2158	LR: 0.000800
Training Epoch: 19 [28672/47500]	Loss: 0.2167	LR: 0.000800
Training Epoch: 19 [28928/47500]	Loss: 0.2294	LR: 0.000800
Training Epoch: 19 [29184/47500]	Loss: 0.2842	LR: 0.000800
Training Epoch: 19 [29440/47500]	Loss: 0.3041	LR: 0.000800
Training Epoch: 19 [29696/47500]	Loss: 0.2772	LR: 0.000800
Training Epoch: 19 [29952/47500]	Loss: 0.3072	LR: 0.000800
Training Epoch: 19 [30208/47500]	Loss: 0.2522	LR: 0.000800
Training Epoch: 19 [30464/47500]	Loss: 0.2966	LR: 0.000800
Training Epoch: 19 [30720/47500]	Loss: 0.2657	LR: 0.000800
Training Epoch: 19 [30976/47500]	Loss: 0.2908	LR: 0.000800
Training Epoch: 19 [31232/47500]	Loss: 0.2097	LR: 0.000800
Training Epoch: 19 [31488/47500]	Loss: 0.3103	LR: 0.000800
Training Epoch: 19 [31744/47500]	Loss: 0.2189	LR: 0.000800
Training Epoch: 19 [32000/47500]	Loss: 0.1952	LR: 0.000800
Training Epoch: 19 [32256/47500]	Loss: 0.2534	LR: 0.000800
Training Epoch: 19 [32512/47500]	Loss: 0.2960	LR: 0.000800
Training Epoch: 19 [32768/47500]	Loss: 0.2049	LR: 0.000800
Training Epoch: 19 [33024/47500]	Loss: 0.2248	LR: 0.000800
Training Epoch: 19 [33280/47500]	Loss: 0.2775	LR: 0.000800
Training Epoch: 19 [33536/47500]	Loss: 0.2095	LR: 0.000800
Training Epoch: 19 [33792/47500]	Loss: 0.2905	LR: 0.000800
Training Epoch: 19 [34048/47500]	Loss: 0.2683	LR: 0.000800
Training Epoch: 19 [34304/47500]	Loss: 0.2293	LR: 0.000800
Training Epoch: 19 [34560/47500]	Loss: 0.3749	LR: 0.000800
Training Epoch: 19 [34816/47500]	Loss: 0.3256	LR: 0.000800
Training Epoch: 19 [35072/47500]	Loss: 0.3170	LR: 0.000800
Training Epoch: 19 [35328/47500]	Loss: 0.3304	LR: 0.000800
Training Epoch: 19 [35584/47500]	Loss: 0.3052	LR: 0.000800
Training Epoch: 19 [35840/47500]	Loss: 0.2736	LR: 0.000800
Training Epoch: 19 [36096/47500]	Loss: 0.3726	LR: 0.000800
Training Epoch: 19 [36352/47500]	Loss: 0.3072	LR: 0.000800
Training Epoch: 19 [36608/47500]	Loss: 0.2221	LR: 0.000800
Training Epoch: 19 [36864/47500]	Loss: 0.3165	LR: 0.000800
Training Epoch: 19 [37120/47500]	Loss: 0.2266	LR: 0.000800
Training Epoch: 19 [37376/47500]	Loss: 0.2813	LR: 0.000800
Training Epoch: 19 [37632/47500]	Loss: 0.2495	LR: 0.000800
Training Epoch: 19 [37888/47500]	Loss: 0.2429	LR: 0.000800
Training Epoch: 19 [38144/47500]	Loss: 0.3391	LR: 0.000800
Training Epoch: 19 [38400/47500]	Loss: 0.2691	LR: 0.000800
Training Epoch: 19 [38656/47500]	Loss: 0.3088	LR: 0.000800
Training Epoch: 19 [38912/47500]	Loss: 0.2281	LR: 0.000800
Training Epoch: 19 [39168/47500]	Loss: 0.2366	LR: 0.000800
Training Epoch: 19 [39424/47500]	Loss: 0.2558	LR: 0.000800
Training Epoch: 19 [39680/47500]	Loss: 0.2629	LR: 0.000800
Training Epoch: 19 [39936/47500]	Loss: 0.3096	LR: 0.000800
Training Epoch: 19 [40192/47500]	Loss: 0.2356	LR: 0.000800
Training Epoch: 19 [40448/47500]	Loss: 0.2279	LR: 0.000800
Training Epoch: 19 [40704/47500]	Loss: 0.3400	LR: 0.000800
Training Epoch: 19 [40960/47500]	Loss: 0.2864	LR: 0.000800
Training Epoch: 19 [41216/47500]	Loss: 0.2273	LR: 0.000800
Training Epoch: 19 [41472/47500]	Loss: 0.2402	LR: 0.000800
Training Epoch: 19 [41728/47500]	Loss: 0.2864	LR: 0.000800
Training Epoch: 19 [41984/47500]	Loss: 0.2805	LR: 0.000800
Training Epoch: 19 [42240/47500]	Loss: 0.2494	LR: 0.000800
Training Epoch: 19 [42496/47500]	Loss: 0.2515	LR: 0.000800
Training Epoch: 19 [42752/47500]	Loss: 0.2824	LR: 0.000800
Training Epoch: 19 [43008/47500]	Loss: 0.2880	LR: 0.000800
Training Epoch: 19 [43264/47500]	Loss: 0.2524	LR: 0.000800
Training Epoch: 19 [43520/47500]	Loss: 0.2498	LR: 0.000800
Training Epoch: 19 [43776/47500]	Loss: 0.2816	LR: 0.000800
Training Epoch: 19 [44032/47500]	Loss: 0.3573	LR: 0.000800
Training Epoch: 19 [44288/47500]	Loss: 0.2750	LR: 0.000800
Training Epoch: 19 [44544/47500]	Loss: 0.2561	LR: 0.000800
Training Epoch: 19 [44800/47500]	Loss: 0.1885	LR: 0.000800
Training Epoch: 19 [45056/47500]	Loss: 0.2801	LR: 0.000800
Training Epoch: 19 [45312/47500]	Loss: 0.2112	LR: 0.000800
Training Epoch: 19 [45568/47500]	Loss: 0.3082	LR: 0.000800
Training Epoch: 19 [45824/47500]	Loss: 0.2741	LR: 0.000800
Training Epoch: 19 [46080/47500]	Loss: 0.2614	LR: 0.000800
Training Epoch: 19 [46336/47500]	Loss: 0.2758	LR: 0.000800
Training Epoch: 19 [46592/47500]	Loss: 0.2444	LR: 0.000800
Training Epoch: 19 [46848/47500]	Loss: 0.3150	LR: 0.000800
Training Epoch: 19 [47104/47500]	Loss: 0.2976	LR: 0.000800
Training Epoch: 19 [47360/47500]	Loss: 0.2997	LR: 0.000800
Training Epoch: 19 [47500/47500]	Loss: 0.2799	LR: 0.000800
Epoch 19 - Average Train Loss: 0.2695, Train Accuracy: 0.9069
Epoch 19 training time consumed: 29.04s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0013, Accuracy: 0.8886, Time consumed:0.91s
Training Epoch: 20 [256/47500]	Loss: 0.2269	LR: 0.000800
Training Epoch: 20 [512/47500]	Loss: 0.2832	LR: 0.000800
Training Epoch: 20 [768/47500]	Loss: 0.2655	LR: 0.000800
Training Epoch: 20 [1024/47500]	Loss: 0.3133	LR: 0.000800
Training Epoch: 20 [1280/47500]	Loss: 0.2415	LR: 0.000800
Training Epoch: 20 [1536/47500]	Loss: 0.2303	LR: 0.000800
Training Epoch: 20 [1792/47500]	Loss: 0.2439	LR: 0.000800
Training Epoch: 20 [2048/47500]	Loss: 0.2667	LR: 0.000800
Training Epoch: 20 [2304/47500]	Loss: 0.1543	LR: 0.000800
Training Epoch: 20 [2560/47500]	Loss: 0.2510	LR: 0.000800
Training Epoch: 20 [2816/47500]	Loss: 0.3024	LR: 0.000800
Training Epoch: 20 [3072/47500]	Loss: 0.2559	LR: 0.000800
Training Epoch: 20 [3328/47500]	Loss: 0.3414	LR: 0.000800
Training Epoch: 20 [3584/47500]	Loss: 0.3025	LR: 0.000800
Training Epoch: 20 [3840/47500]	Loss: 0.2777	LR: 0.000800
Training Epoch: 20 [4096/47500]	Loss: 0.1990	LR: 0.000800
Training Epoch: 20 [4352/47500]	Loss: 0.2313	LR: 0.000800
Training Epoch: 20 [4608/47500]	Loss: 0.2377	LR: 0.000800
Training Epoch: 20 [4864/47500]	Loss: 0.2288	LR: 0.000800
Training Epoch: 20 [5120/47500]	Loss: 0.3032	LR: 0.000800
Training Epoch: 20 [5376/47500]	Loss: 0.2072	LR: 0.000800
Training Epoch: 20 [5632/47500]	Loss: 0.2878	LR: 0.000800
Training Epoch: 20 [5888/47500]	Loss: 0.3331	LR: 0.000800
Training Epoch: 20 [6144/47500]	Loss: 0.2334	LR: 0.000800
Training Epoch: 20 [6400/47500]	Loss: 0.2776	LR: 0.000800
Training Epoch: 20 [6656/47500]	Loss: 0.2483	LR: 0.000800
Training Epoch: 20 [6912/47500]	Loss: 0.2533	LR: 0.000800
Training Epoch: 20 [7168/47500]	Loss: 0.2527	LR: 0.000800
Training Epoch: 20 [7424/47500]	Loss: 0.2848	LR: 0.000800
Training Epoch: 20 [7680/47500]	Loss: 0.2988	LR: 0.000800
Training Epoch: 20 [7936/47500]	Loss: 0.2419	LR: 0.000800
Training Epoch: 20 [8192/47500]	Loss: 0.3202	LR: 0.000800
Training Epoch: 20 [8448/47500]	Loss: 0.3972	LR: 0.000800
Training Epoch: 20 [8704/47500]	Loss: 0.3068	LR: 0.000800
Training Epoch: 20 [8960/47500]	Loss: 0.2453	LR: 0.000800
Training Epoch: 20 [9216/47500]	Loss: 0.2734	LR: 0.000800
Training Epoch: 20 [9472/47500]	Loss: 0.2329	LR: 0.000800
Training Epoch: 20 [9728/47500]	Loss: 0.2435	LR: 0.000800
Training Epoch: 20 [9984/47500]	Loss: 0.3674	LR: 0.000800
Training Epoch: 20 [10240/47500]	Loss: 0.2847	LR: 0.000800
Training Epoch: 20 [10496/47500]	Loss: 0.2050	LR: 0.000800
Training Epoch: 20 [10752/47500]	Loss: 0.2515	LR: 0.000800
Training Epoch: 20 [11008/47500]	Loss: 0.2923	LR: 0.000800
Training Epoch: 20 [11264/47500]	Loss: 0.2661	LR: 0.000800
Training Epoch: 20 [11520/47500]	Loss: 0.2512	LR: 0.000800
Training Epoch: 20 [11776/47500]	Loss: 0.2426	LR: 0.000800
Training Epoch: 20 [12032/47500]	Loss: 0.2036	LR: 0.000800
Training Epoch: 20 [12288/47500]	Loss: 0.2539	LR: 0.000800
Training Epoch: 20 [12544/47500]	Loss: 0.3529	LR: 0.000800
Training Epoch: 20 [12800/47500]	Loss: 0.2257	LR: 0.000800
Training Epoch: 20 [13056/47500]	Loss: 0.2295	LR: 0.000800
Training Epoch: 20 [13312/47500]	Loss: 0.2576	LR: 0.000800
Training Epoch: 20 [13568/47500]	Loss: 0.1626	LR: 0.000800
Training Epoch: 20 [13824/47500]	Loss: 0.2253	LR: 0.000800
Training Epoch: 20 [14080/47500]	Loss: 0.2409	LR: 0.000800
Training Epoch: 20 [14336/47500]	Loss: 0.2562	LR: 0.000800
Training Epoch: 20 [14592/47500]	Loss: 0.2426	LR: 0.000800
Training Epoch: 20 [14848/47500]	Loss: 0.2343	LR: 0.000800
Training Epoch: 20 [15104/47500]	Loss: 0.3729	LR: 0.000800
Training Epoch: 20 [15360/47500]	Loss: 0.3069	LR: 0.000800
Training Epoch: 20 [15616/47500]	Loss: 0.3394	LR: 0.000800
Training Epoch: 20 [15872/47500]	Loss: 0.3578	LR: 0.000800
Training Epoch: 20 [16128/47500]	Loss: 0.3193	LR: 0.000800
Training Epoch: 20 [16384/47500]	Loss: 0.2460	LR: 0.000800
Training Epoch: 20 [16640/47500]	Loss: 0.2509	LR: 0.000800
Training Epoch: 20 [16896/47500]	Loss: 0.2397	LR: 0.000800
Training Epoch: 20 [17152/47500]	Loss: 0.3628	LR: 0.000800
Training Epoch: 20 [17408/47500]	Loss: 0.3042	LR: 0.000800
Training Epoch: 20 [17664/47500]	Loss: 0.2981	LR: 0.000800
Training Epoch: 20 [17920/47500]	Loss: 0.2371	LR: 0.000800
Training Epoch: 20 [18176/47500]	Loss: 0.3150	LR: 0.000800
Training Epoch: 20 [18432/47500]	Loss: 0.3239	LR: 0.000800
Training Epoch: 20 [18688/47500]	Loss: 0.3216	LR: 0.000800
Training Epoch: 20 [18944/47500]	Loss: 0.3072	LR: 0.000800
Training Epoch: 20 [19200/47500]	Loss: 0.2576	LR: 0.000800
Training Epoch: 20 [19456/47500]	Loss: 0.2679	LR: 0.000800
Training Epoch: 20 [19712/47500]	Loss: 0.3515	LR: 0.000800
Training Epoch: 20 [19968/47500]	Loss: 0.2328	LR: 0.000800
Training Epoch: 20 [20224/47500]	Loss: 0.2576	LR: 0.000800
Training Epoch: 20 [20480/47500]	Loss: 0.2850	LR: 0.000800
Training Epoch: 20 [20736/47500]	Loss: 0.3503	LR: 0.000800
Training Epoch: 20 [20992/47500]	Loss: 0.1625	LR: 0.000800
Training Epoch: 20 [21248/47500]	Loss: 0.2147	LR: 0.000800
Training Epoch: 20 [21504/47500]	Loss: 0.2166	LR: 0.000800
Training Epoch: 20 [21760/47500]	Loss: 0.2367	LR: 0.000800
Training Epoch: 20 [22016/47500]	Loss: 0.2378	LR: 0.000800
Training Epoch: 20 [22272/47500]	Loss: 0.1910	LR: 0.000800
Training Epoch: 20 [22528/47500]	Loss: 0.2502	LR: 0.000800
Training Epoch: 20 [22784/47500]	Loss: 0.2960	LR: 0.000800
Training Epoch: 20 [23040/47500]	Loss: 0.2484	LR: 0.000800
Training Epoch: 20 [23296/47500]	Loss: 0.2874	LR: 0.000800
Training Epoch: 20 [23552/47500]	Loss: 0.2776	LR: 0.000800
Training Epoch: 20 [23808/47500]	Loss: 0.2680	LR: 0.000800
Training Epoch: 20 [24064/47500]	Loss: 0.2684	LR: 0.000800
Training Epoch: 20 [24320/47500]	Loss: 0.2892	LR: 0.000800
Training Epoch: 20 [24576/47500]	Loss: 0.2471	LR: 0.000800
Training Epoch: 20 [24832/47500]	Loss: 0.2284	LR: 0.000800
Training Epoch: 20 [25088/47500]	Loss: 0.2756	LR: 0.000800
Training Epoch: 20 [25344/47500]	Loss: 0.3124	LR: 0.000800
Training Epoch: 20 [25600/47500]	Loss: 0.2453	LR: 0.000800
Training Epoch: 20 [25856/47500]	Loss: 0.3808	LR: 0.000800
Training Epoch: 20 [26112/47500]	Loss: 0.2771	LR: 0.000800
Training Epoch: 20 [26368/47500]	Loss: 0.1819	LR: 0.000800
Training Epoch: 20 [26624/47500]	Loss: 0.3378	LR: 0.000800
Training Epoch: 20 [26880/47500]	Loss: 0.2702	LR: 0.000800
Training Epoch: 20 [27136/47500]	Loss: 0.2442	LR: 0.000800
Training Epoch: 20 [27392/47500]	Loss: 0.2778	LR: 0.000800
Training Epoch: 20 [27648/47500]	Loss: 0.2674	LR: 0.000800
Training Epoch: 20 [27904/47500]	Loss: 0.3106	LR: 0.000800
Training Epoch: 20 [28160/47500]	Loss: 0.2959	LR: 0.000800
Training Epoch: 20 [28416/47500]	Loss: 0.2544	LR: 0.000800
Training Epoch: 20 [28672/47500]	Loss: 0.2373	LR: 0.000800
Training Epoch: 20 [28928/47500]	Loss: 0.3485	LR: 0.000800
Training Epoch: 20 [29184/47500]	Loss: 0.2258	LR: 0.000800
Training Epoch: 20 [29440/47500]	Loss: 0.2736	LR: 0.000800
Training Epoch: 20 [29696/47500]	Loss: 0.2447	LR: 0.000800
Training Epoch: 20 [29952/47500]	Loss: 0.3176	LR: 0.000800
Training Epoch: 20 [30208/47500]	Loss: 0.2586	LR: 0.000800
Training Epoch: 20 [30464/47500]	Loss: 0.2619	LR: 0.000800
Training Epoch: 20 [30720/47500]	Loss: 0.3033	LR: 0.000800
Training Epoch: 20 [30976/47500]	Loss: 0.2309	LR: 0.000800
Training Epoch: 20 [31232/47500]	Loss: 0.2579	LR: 0.000800
Training Epoch: 20 [31488/47500]	Loss: 0.3519	LR: 0.000800
Training Epoch: 20 [31744/47500]	Loss: 0.2945	LR: 0.000800
Training Epoch: 20 [32000/47500]	Loss: 0.2459	LR: 0.000800
Training Epoch: 20 [32256/47500]	Loss: 0.2464	LR: 0.000800
Training Epoch: 20 [32512/47500]	Loss: 0.2927	LR: 0.000800
Training Epoch: 20 [32768/47500]	Loss: 0.2609	LR: 0.000800
Training Epoch: 20 [33024/47500]	Loss: 0.2490	LR: 0.000800
Training Epoch: 20 [33280/47500]	Loss: 0.3470	LR: 0.000800
Training Epoch: 20 [33536/47500]	Loss: 0.2632	LR: 0.000800
Training Epoch: 20 [33792/47500]	Loss: 0.3066	LR: 0.000800
Training Epoch: 20 [34048/47500]	Loss: 0.3282	LR: 0.000800
Training Epoch: 20 [34304/47500]	Loss: 0.2609	LR: 0.000800
Training Epoch: 20 [34560/47500]	Loss: 0.2435	LR: 0.000800
Training Epoch: 20 [34816/47500]	Loss: 0.3236	LR: 0.000800
Training Epoch: 20 [35072/47500]	Loss: 0.2094	LR: 0.000800
Training Epoch: 20 [35328/47500]	Loss: 0.3201	LR: 0.000800
Training Epoch: 20 [35584/47500]	Loss: 0.2754	LR: 0.000800
Training Epoch: 20 [35840/47500]	Loss: 0.2603	LR: 0.000800
Training Epoch: 20 [36096/47500]	Loss: 0.3604	LR: 0.000800
Training Epoch: 20 [36352/47500]	Loss: 0.3050	LR: 0.000800
Training Epoch: 20 [36608/47500]	Loss: 0.2783	LR: 0.000800
Training Epoch: 20 [36864/47500]	Loss: 0.2261	LR: 0.000800
Training Epoch: 20 [37120/47500]	Loss: 0.2170	LR: 0.000800
Training Epoch: 20 [37376/47500]	Loss: 0.3060	LR: 0.000800
Training Epoch: 20 [37632/47500]	Loss: 0.2462	LR: 0.000800
Training Epoch: 20 [37888/47500]	Loss: 0.2507	LR: 0.000800
Training Epoch: 20 [38144/47500]	Loss: 0.2354	LR: 0.000800
Training Epoch: 20 [38400/47500]	Loss: 0.2119	LR: 0.000800
Training Epoch: 20 [38656/47500]	Loss: 0.2786	LR: 0.000800
Training Epoch: 20 [38912/47500]	Loss: 0.2518	LR: 0.000800
Training Epoch: 20 [39168/47500]	Loss: 0.2630	LR: 0.000800
Training Epoch: 20 [39424/47500]	Loss: 0.2479	LR: 0.000800
Training Epoch: 20 [39680/47500]	Loss: 0.3585	LR: 0.000800
Training Epoch: 20 [39936/47500]	Loss: 0.2278	LR: 0.000800
Training Epoch: 20 [40192/47500]	Loss: 0.2033	LR: 0.000800
Training Epoch: 20 [40448/47500]	Loss: 0.2545	LR: 0.000800
Training Epoch: 20 [40704/47500]	Loss: 0.2421	LR: 0.000800
Training Epoch: 20 [40960/47500]	Loss: 0.2340	LR: 0.000800
Training Epoch: 20 [41216/47500]	Loss: 0.3501	LR: 0.000800
Training Epoch: 20 [41472/47500]	Loss: 0.3066	LR: 0.000800
Training Epoch: 20 [41728/47500]	Loss: 0.2844	LR: 0.000800
Training Epoch: 20 [41984/47500]	Loss: 0.2350	LR: 0.000800
Training Epoch: 20 [42240/47500]	Loss: 0.1565	LR: 0.000800
Training Epoch: 20 [42496/47500]	Loss: 0.2761	LR: 0.000800
Training Epoch: 20 [42752/47500]	Loss: 0.2181	LR: 0.000800
Training Epoch: 20 [43008/47500]	Loss: 0.3003	LR: 0.000800
Training Epoch: 20 [43264/47500]	Loss: 0.2217	LR: 0.000800
Training Epoch: 20 [43520/47500]	Loss: 0.2682	LR: 0.000800
Training Epoch: 20 [43776/47500]	Loss: 0.2785	LR: 0.000800
Training Epoch: 20 [44032/47500]	Loss: 0.2695	LR: 0.000800
Training Epoch: 20 [44288/47500]	Loss: 0.2956	LR: 0.000800
Training Epoch: 20 [44544/47500]	Loss: 0.3070	LR: 0.000800
Training Epoch: 20 [44800/47500]	Loss: 0.1804	LR: 0.000800
Training Epoch: 20 [45056/47500]	Loss: 0.2272	LR: 0.000800
Training Epoch: 20 [45312/47500]	Loss: 0.2414	LR: 0.000800
Training Epoch: 20 [45568/47500]	Loss: 0.3168	LR: 0.000800
Training Epoch: 20 [45824/47500]	Loss: 0.2729	LR: 0.000800
Training Epoch: 20 [46080/47500]	Loss: 0.3281	LR: 0.000800
Training Epoch: 20 [46336/47500]	Loss: 0.2791	LR: 0.000800
Training Epoch: 20 [46592/47500]	Loss: 0.3248	LR: 0.000800
Training Epoch: 20 [46848/47500]	Loss: 0.3347	LR: 0.000800
Training Epoch: 20 [47104/47500]	Loss: 0.2650	LR: 0.000800
Training Epoch: 20 [47360/47500]	Loss: 0.1992	LR: 0.000800
Training Epoch: 20 [47500/47500]	Loss: 0.2381	LR: 0.000800
Epoch 20 - Average Train Loss: 0.2695, Train Accuracy: 0.9056
Epoch 20 training time consumed: 28.74s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0013, Accuracy: 0.8902, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_12h_45m_03s/ResNet18-Cifar10-seed9-ret50-20-best.pth
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: 89.130859375
Retain Accuracy: 90.85236358642578
Zero-Retain Forget (ZRF): 0.8297450542449951
Membership Inference Attack (MIA): 0.6108
Forget vs Retain Membership Inference Attack (MIA): 0.52
Forget vs Test Membership Inference Attack (MIA): 0.568
Test vs Retain Membership Inference Attack (MIA): 0.50975
Train vs Test Membership Inference Attack (MIA): 0.52025
Forget Set Accuracy (Df): 87.26322937011719
Method Execution Time: 1531.01 seconds
