hello
hello

📌 Retain class distribution for seed 7:
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 7:
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: 2.4807	LR: 0.000000
Training Epoch: 1 [512/47500]	Loss: 2.3753	LR: 0.000538
Training Epoch: 1 [768/47500]	Loss: 2.4395	LR: 0.001075
Training Epoch: 1 [1024/47500]	Loss: 2.4085	LR: 0.001613
Training Epoch: 1 [1280/47500]	Loss: 2.3475	LR: 0.002151
Training Epoch: 1 [1536/47500]	Loss: 2.2804	LR: 0.002688
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Training Epoch: 1 [2048/47500]	Loss: 2.2451	LR: 0.003763
Training Epoch: 1 [2304/47500]	Loss: 2.2940	LR: 0.004301
Training Epoch: 1 [2560/47500]	Loss: 2.2964	LR: 0.004839
Training Epoch: 1 [2816/47500]	Loss: 2.2930	LR: 0.005376
Training Epoch: 1 [3072/47500]	Loss: 2.3093	LR: 0.005914
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Training Epoch: 1 [10240/47500]	Loss: 1.7534	LR: 0.020968
Training Epoch: 1 [10496/47500]	Loss: 1.8271	LR: 0.021505
Training Epoch: 1 [10752/47500]	Loss: 1.6602	LR: 0.022043
Training Epoch: 1 [11008/47500]	Loss: 1.7235	LR: 0.022581
Training Epoch: 1 [11264/47500]	Loss: 1.8069	LR: 0.023118
Training Epoch: 1 [11520/47500]	Loss: 1.8255	LR: 0.023656
Training Epoch: 1 [11776/47500]	Loss: 1.9181	LR: 0.024194
Training Epoch: 1 [12032/47500]	Loss: 1.7188	LR: 0.024731
Training Epoch: 1 [12288/47500]	Loss: 1.7670	LR: 0.025269
Training Epoch: 1 [12544/47500]	Loss: 1.8571	LR: 0.025806
Training Epoch: 1 [12800/47500]	Loss: 1.8154	LR: 0.026344
Training Epoch: 1 [13056/47500]	Loss: 1.8834	LR: 0.026882
Training Epoch: 1 [13312/47500]	Loss: 1.7858	LR: 0.027419
Training Epoch: 1 [13568/47500]	Loss: 1.6823	LR: 0.027957
Training Epoch: 1 [13824/47500]	Loss: 1.7117	LR: 0.028495
Training Epoch: 1 [14080/47500]	Loss: 1.7453	LR: 0.029032
Training Epoch: 1 [14336/47500]	Loss: 1.9341	LR: 0.029570
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Training Epoch: 1 [15872/47500]	Loss: 1.8778	LR: 0.032796
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Training Epoch: 1 [16384/47500]	Loss: 1.8958	LR: 0.033871
Training Epoch: 1 [16640/47500]	Loss: 1.7662	LR: 0.034409
Training Epoch: 1 [16896/47500]	Loss: 1.7654	LR: 0.034946
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Training Epoch: 1 [18944/47500]	Loss: 1.5803	LR: 0.039247
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Training Epoch: 1 [20480/47500]	Loss: 1.7958	LR: 0.042473
Training Epoch: 1 [20736/47500]	Loss: 1.6221	LR: 0.043011
Training Epoch: 1 [20992/47500]	Loss: 1.8487	LR: 0.043548
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Training Epoch: 1 [22272/47500]	Loss: 1.6563	LR: 0.046237
Training Epoch: 1 [22528/47500]	Loss: 1.5614	LR: 0.046774
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Training Epoch: 1 [23040/47500]	Loss: 1.5126	LR: 0.047849
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Training Epoch: 1 [23808/47500]	Loss: 1.6287	LR: 0.049462
Training Epoch: 1 [24064/47500]	Loss: 1.6007	LR: 0.050000
Training Epoch: 1 [24320/47500]	Loss: 1.4622	LR: 0.050538
Training Epoch: 1 [24576/47500]	Loss: 1.6529	LR: 0.051075
Training Epoch: 1 [24832/47500]	Loss: 1.5477	LR: 0.051613
Training Epoch: 1 [25088/47500]	Loss: 1.7109	LR: 0.052151
Training Epoch: 1 [25344/47500]	Loss: 1.4951	LR: 0.052688
Training Epoch: 1 [25600/47500]	Loss: 1.5621	LR: 0.053226
Training Epoch: 1 [25856/47500]	Loss: 1.6126	LR: 0.053763
Training Epoch: 1 [26112/47500]	Loss: 1.6240	LR: 0.054301
Training Epoch: 1 [26368/47500]	Loss: 1.6975	LR: 0.054839
Training Epoch: 1 [26624/47500]	Loss: 1.4715	LR: 0.055376
Training Epoch: 1 [26880/47500]	Loss: 1.7043	LR: 0.055914
Training Epoch: 1 [27136/47500]	Loss: 1.6114	LR: 0.056452
Training Epoch: 1 [27392/47500]	Loss: 1.6069	LR: 0.056989
Training Epoch: 1 [27648/47500]	Loss: 1.7063	LR: 0.057527
Training Epoch: 1 [27904/47500]	Loss: 1.6433	LR: 0.058065
Training Epoch: 1 [28160/47500]	Loss: 1.6146	LR: 0.058602
Training Epoch: 1 [28416/47500]	Loss: 1.6901	LR: 0.059140
Training Epoch: 1 [28672/47500]	Loss: 1.7748	LR: 0.059677
Training Epoch: 1 [28928/47500]	Loss: 1.7229	LR: 0.060215
Training Epoch: 1 [29184/47500]	Loss: 1.5924	LR: 0.060753
Training Epoch: 1 [29440/47500]	Loss: 1.6088	LR: 0.061290
Training Epoch: 1 [29696/47500]	Loss: 1.6636	LR: 0.061828
Training Epoch: 1 [29952/47500]	Loss: 1.4090	LR: 0.062366
Training Epoch: 1 [30208/47500]	Loss: 1.6812	LR: 0.062903
Training Epoch: 1 [30464/47500]	Loss: 1.6002	LR: 0.063441
Training Epoch: 1 [30720/47500]	Loss: 1.5795	LR: 0.063978
Training Epoch: 1 [30976/47500]	Loss: 1.6568	LR: 0.064516
Training Epoch: 1 [31232/47500]	Loss: 1.5929	LR: 0.065054
Training Epoch: 1 [31488/47500]	Loss: 1.6290	LR: 0.065591
Training Epoch: 1 [31744/47500]	Loss: 1.6849	LR: 0.066129
Training Epoch: 1 [32000/47500]	Loss: 1.3873	LR: 0.066667
Training Epoch: 1 [32256/47500]	Loss: 1.6895	LR: 0.067204
Training Epoch: 1 [32512/47500]	Loss: 1.5081	LR: 0.067742
Training Epoch: 1 [32768/47500]	Loss: 1.6403	LR: 0.068280
Training Epoch: 1 [33024/47500]	Loss: 1.5766	LR: 0.068817
Training Epoch: 1 [33280/47500]	Loss: 1.6756	LR: 0.069355
Training Epoch: 1 [33536/47500]	Loss: 1.6808	LR: 0.069892
Training Epoch: 1 [33792/47500]	Loss: 1.6483	LR: 0.070430
Training Epoch: 1 [34048/47500]	Loss: 1.7551	LR: 0.070968
Training Epoch: 1 [34304/47500]	Loss: 1.6784	LR: 0.071505
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Training Epoch: 1 [35072/47500]	Loss: 1.5889	LR: 0.073118
Training Epoch: 1 [35328/47500]	Loss: 1.7045	LR: 0.073656
Training Epoch: 1 [35584/47500]	Loss: 1.4386	LR: 0.074194
Training Epoch: 1 [35840/47500]	Loss: 1.5386	LR: 0.074731
Training Epoch: 1 [36096/47500]	Loss: 1.6155	LR: 0.075269
Training Epoch: 1 [36352/47500]	Loss: 1.5664	LR: 0.075806
Training Epoch: 1 [36608/47500]	Loss: 1.6813	LR: 0.076344
Training Epoch: 1 [36864/47500]	Loss: 1.5366	LR: 0.076882
Training Epoch: 1 [37120/47500]	Loss: 1.5384	LR: 0.077419
Training Epoch: 1 [37376/47500]	Loss: 1.8540	LR: 0.077957
Training Epoch: 1 [37632/47500]	Loss: 1.5472	LR: 0.078495
Training Epoch: 1 [37888/47500]	Loss: 1.7067	LR: 0.079032
Training Epoch: 1 [38144/47500]	Loss: 1.9668	LR: 0.079570
Training Epoch: 1 [38400/47500]	Loss: 1.5336	LR: 0.080108
Training Epoch: 1 [38656/47500]	Loss: 1.5589	LR: 0.080645
Training Epoch: 1 [38912/47500]	Loss: 1.7518	LR: 0.081183
Training Epoch: 1 [39168/47500]	Loss: 1.5699	LR: 0.081720
Training Epoch: 1 [39424/47500]	Loss: 1.5978	LR: 0.082258
Training Epoch: 1 [39680/47500]	Loss: 1.7154	LR: 0.082796
Training Epoch: 1 [39936/47500]	Loss: 1.4730	LR: 0.083333
Training Epoch: 1 [40192/47500]	Loss: 1.5765	LR: 0.083871
Training Epoch: 1 [40448/47500]	Loss: 1.5507	LR: 0.084409
Training Epoch: 1 [40704/47500]	Loss: 1.5991	LR: 0.084946
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Training Epoch: 1 [41728/47500]	Loss: 1.4271	LR: 0.087097
Training Epoch: 1 [41984/47500]	Loss: 1.4668	LR: 0.087634
Training Epoch: 1 [42240/47500]	Loss: 1.4845	LR: 0.088172
Training Epoch: 1 [42496/47500]	Loss: 1.3869	LR: 0.088710
Training Epoch: 1 [42752/47500]	Loss: 1.3448	LR: 0.089247
Training Epoch: 1 [43008/47500]	Loss: 1.4308	LR: 0.089785
Training Epoch: 1 [43264/47500]	Loss: 1.4209	LR: 0.090323
Training Epoch: 1 [43520/47500]	Loss: 1.4384	LR: 0.090860
Training Epoch: 1 [43776/47500]	Loss: 1.4277	LR: 0.091398
Training Epoch: 1 [44032/47500]	Loss: 1.4534	LR: 0.091935
Training Epoch: 1 [44288/47500]	Loss: 1.5276	LR: 0.092473
Training Epoch: 1 [44544/47500]	Loss: 1.4556	LR: 0.093011
Training Epoch: 1 [44800/47500]	Loss: 1.4549	LR: 0.093548
Training Epoch: 1 [45056/47500]	Loss: 1.5012	LR: 0.094086
Training Epoch: 1 [45312/47500]	Loss: 1.5849	LR: 0.094624
Training Epoch: 1 [45568/47500]	Loss: 1.3873	LR: 0.095161
Training Epoch: 1 [45824/47500]	Loss: 1.3092	LR: 0.095699
Training Epoch: 1 [46080/47500]	Loss: 1.4658	LR: 0.096237
Training Epoch: 1 [46336/47500]	Loss: 1.4617	LR: 0.096774
Training Epoch: 1 [46592/47500]	Loss: 1.4146	LR: 0.097312
Training Epoch: 1 [46848/47500]	Loss: 1.3892	LR: 0.097849
Training Epoch: 1 [47104/47500]	Loss: 1.5310	LR: 0.098387
Training Epoch: 1 [47360/47500]	Loss: 1.4130	LR: 0.098925
Training Epoch: 1 [47500/47500]	Loss: 1.4564	LR: 0.099462
Epoch 1 - Average Train Loss: 1.7174, Train Accuracy: 0.3733
Epoch 1 training time consumed: 29.26s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0071, Accuracy: 0.4179, Time consumed:1.03s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_11h_53m_13s/ResNet18-Cifar10-seed7-ret50-1-best.pth
Training Epoch: 2 [256/47500]	Loss: 1.4182	LR: 0.100000
Training Epoch: 2 [512/47500]	Loss: 1.6366	LR: 0.100000
Training Epoch: 2 [768/47500]	Loss: 1.3880	LR: 0.100000
Training Epoch: 2 [1024/47500]	Loss: 1.5640	LR: 0.100000
Training Epoch: 2 [1280/47500]	Loss: 1.5873	LR: 0.100000
Training Epoch: 2 [1536/47500]	Loss: 1.4020	LR: 0.100000
Training Epoch: 2 [1792/47500]	Loss: 1.4216	LR: 0.100000
Training Epoch: 2 [2048/47500]	Loss: 1.3286	LR: 0.100000
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Training Epoch: 2 [2560/47500]	Loss: 1.3214	LR: 0.100000
Training Epoch: 2 [2816/47500]	Loss: 1.4188	LR: 0.100000
Training Epoch: 2 [3072/47500]	Loss: 1.6197	LR: 0.100000
Training Epoch: 2 [3328/47500]	Loss: 1.5008	LR: 0.100000
Training Epoch: 2 [3584/47500]	Loss: 1.3992	LR: 0.100000
Training Epoch: 2 [3840/47500]	Loss: 1.4362	LR: 0.100000
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Training Epoch: 2 [4352/47500]	Loss: 1.3928	LR: 0.100000
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Training Epoch: 2 [22528/47500]	Loss: 1.2029	LR: 0.100000
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Training Epoch: 2 [47500/47500]	Loss: 1.0450	LR: 0.100000
Epoch 2 - Average Train Loss: 1.2255, Train Accuracy: 0.5616
Epoch 2 training time consumed: 28.40s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0050, Accuracy: 0.5818, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_11h_53m_13s/ResNet18-Cifar10-seed7-ret50-2-best.pth
Training Epoch: 3 [256/47500]	Loss: 1.0541	LR: 0.100000
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Training Epoch: 3 [47500/47500]	Loss: 0.9196	LR: 0.100000
Epoch 3 - Average Train Loss: 0.9586, Train Accuracy: 0.6596
Epoch 3 training time consumed: 28.61s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0035, Accuracy: 0.6920, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_11h_53m_13s/ResNet18-Cifar10-seed7-ret50-3-best.pth
Training Epoch: 4 [256/47500]	Loss: 0.8700	LR: 0.100000
Training Epoch: 4 [512/47500]	Loss: 0.8693	LR: 0.100000
Training Epoch: 4 [768/47500]	Loss: 0.7674	LR: 0.100000
Training Epoch: 4 [1024/47500]	Loss: 0.8229	LR: 0.100000
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Epoch 4 - Average Train Loss: 0.8111, Train Accuracy: 0.7161
Epoch 4 training time consumed: 28.66s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0030, Accuracy: 0.7403, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_11h_53m_13s/ResNet18-Cifar10-seed7-ret50-4-best.pth
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Epoch 5 - Average Train Loss: 0.7096, Train Accuracy: 0.7531
Epoch 5 training time consumed: 28.45s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0030, Accuracy: 0.7493, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_11h_53m_13s/ResNet18-Cifar10-seed7-ret50-5-best.pth
Training Epoch: 6 [256/47500]	Loss: 0.6468	LR: 0.100000
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Epoch 6 - Average Train Loss: 0.6413, Train Accuracy: 0.7756
Epoch 6 training time consumed: 28.49s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0026, Accuracy: 0.7756, Time consumed:0.99s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_11h_53m_13s/ResNet18-Cifar10-seed7-ret50-6-best.pth
Training Epoch: 7 [256/47500]	Loss: 0.5543	LR: 0.100000
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Training Epoch: 7 [10240/47500]	Loss: 0.6182	LR: 0.100000
Training Epoch: 7 [10496/47500]	Loss: 0.6068	LR: 0.100000
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Training Epoch: 7 [11008/47500]	Loss: 0.6826	LR: 0.100000
Training Epoch: 7 [11264/47500]	Loss: 0.5271	LR: 0.100000
Training Epoch: 7 [11520/47500]	Loss: 0.6991	LR: 0.100000
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Training Epoch: 7 [12032/47500]	Loss: 0.6079	LR: 0.100000
Training Epoch: 7 [12288/47500]	Loss: 0.7114	LR: 0.100000
Training Epoch: 7 [12544/47500]	Loss: 0.7377	LR: 0.100000
Training Epoch: 7 [12800/47500]	Loss: 0.5782	LR: 0.100000
Training Epoch: 7 [13056/47500]	Loss: 0.6037	LR: 0.100000
Training Epoch: 7 [13312/47500]	Loss: 0.6434	LR: 0.100000
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Training Epoch: 7 [14336/47500]	Loss: 0.6591	LR: 0.100000
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Training Epoch: 7 [15104/47500]	Loss: 0.5165	LR: 0.100000
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Training Epoch: 7 [16384/47500]	Loss: 0.6016	LR: 0.100000
Training Epoch: 7 [16640/47500]	Loss: 0.5387	LR: 0.100000
Training Epoch: 7 [16896/47500]	Loss: 0.5562	LR: 0.100000
Training Epoch: 7 [17152/47500]	Loss: 0.4918	LR: 0.100000
Training Epoch: 7 [17408/47500]	Loss: 0.4667	LR: 0.100000
Training Epoch: 7 [17664/47500]	Loss: 0.6171	LR: 0.100000
Training Epoch: 7 [17920/47500]	Loss: 0.5934	LR: 0.100000
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Training Epoch: 7 [18944/47500]	Loss: 0.5164	LR: 0.100000
Training Epoch: 7 [19200/47500]	Loss: 0.6316	LR: 0.100000
Training Epoch: 7 [19456/47500]	Loss: 0.4820	LR: 0.100000
Training Epoch: 7 [19712/47500]	Loss: 0.4248	LR: 0.100000
Training Epoch: 7 [19968/47500]	Loss: 0.5660	LR: 0.100000
Training Epoch: 7 [20224/47500]	Loss: 0.6544	LR: 0.100000
Training Epoch: 7 [20480/47500]	Loss: 0.4960	LR: 0.100000
Training Epoch: 7 [20736/47500]	Loss: 0.5401	LR: 0.100000
Training Epoch: 7 [20992/47500]	Loss: 0.5306	LR: 0.100000
Training Epoch: 7 [21248/47500]	Loss: 0.6533	LR: 0.100000
Training Epoch: 7 [21504/47500]	Loss: 0.5538	LR: 0.100000
Training Epoch: 7 [21760/47500]	Loss: 0.6676	LR: 0.100000
Training Epoch: 7 [22016/47500]	Loss: 0.5454	LR: 0.100000
Training Epoch: 7 [22272/47500]	Loss: 0.5037	LR: 0.100000
Training Epoch: 7 [22528/47500]	Loss: 0.6738	LR: 0.100000
Training Epoch: 7 [22784/47500]	Loss: 0.7127	LR: 0.100000
Training Epoch: 7 [23040/47500]	Loss: 0.6097	LR: 0.100000
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Training Epoch: 7 [23552/47500]	Loss: 0.6387	LR: 0.100000
Training Epoch: 7 [23808/47500]	Loss: 0.6340	LR: 0.100000
Training Epoch: 7 [24064/47500]	Loss: 0.7397	LR: 0.100000
Training Epoch: 7 [24320/47500]	Loss: 0.5845	LR: 0.100000
Training Epoch: 7 [24576/47500]	Loss: 0.6677	LR: 0.100000
Training Epoch: 7 [24832/47500]	Loss: 0.6218	LR: 0.100000
Training Epoch: 7 [25088/47500]	Loss: 0.7654	LR: 0.100000
Training Epoch: 7 [25344/47500]	Loss: 0.5983	LR: 0.100000
Training Epoch: 7 [25600/47500]	Loss: 0.6678	LR: 0.100000
Training Epoch: 7 [25856/47500]	Loss: 0.5141	LR: 0.100000
Training Epoch: 7 [26112/47500]	Loss: 0.6250	LR: 0.100000
Training Epoch: 7 [26368/47500]	Loss: 0.5637	LR: 0.100000
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Training Epoch: 7 [26880/47500]	Loss: 0.5744	LR: 0.100000
Training Epoch: 7 [27136/47500]	Loss: 0.6642	LR: 0.100000
Training Epoch: 7 [27392/47500]	Loss: 0.5426	LR: 0.100000
Training Epoch: 7 [27648/47500]	Loss: 0.7260	LR: 0.100000
Training Epoch: 7 [27904/47500]	Loss: 0.6012	LR: 0.100000
Training Epoch: 7 [28160/47500]	Loss: 0.5462	LR: 0.100000
Training Epoch: 7 [28416/47500]	Loss: 0.5806	LR: 0.100000
Training Epoch: 7 [28672/47500]	Loss: 0.7161	LR: 0.100000
Training Epoch: 7 [28928/47500]	Loss: 0.6453	LR: 0.100000
Training Epoch: 7 [29184/47500]	Loss: 0.6337	LR: 0.100000
Training Epoch: 7 [29440/47500]	Loss: 0.5715	LR: 0.100000
Training Epoch: 7 [29696/47500]	Loss: 0.6320	LR: 0.100000
Training Epoch: 7 [29952/47500]	Loss: 0.5431	LR: 0.100000
Training Epoch: 7 [30208/47500]	Loss: 0.6355	LR: 0.100000
Training Epoch: 7 [30464/47500]	Loss: 0.6540	LR: 0.100000
Training Epoch: 7 [30720/47500]	Loss: 0.6373	LR: 0.100000
Training Epoch: 7 [30976/47500]	Loss: 0.6092	LR: 0.100000
Training Epoch: 7 [31232/47500]	Loss: 0.5978	LR: 0.100000
Training Epoch: 7 [31488/47500]	Loss: 0.5481	LR: 0.100000
Training Epoch: 7 [31744/47500]	Loss: 0.6910	LR: 0.100000
Training Epoch: 7 [32000/47500]	Loss: 0.5828	LR: 0.100000
Training Epoch: 7 [32256/47500]	Loss: 0.4764	LR: 0.100000
Training Epoch: 7 [32512/47500]	Loss: 0.5712	LR: 0.100000
Training Epoch: 7 [32768/47500]	Loss: 0.4652	LR: 0.100000
Training Epoch: 7 [33024/47500]	Loss: 0.6135	LR: 0.100000
Training Epoch: 7 [33280/47500]	Loss: 0.6003	LR: 0.100000
Training Epoch: 7 [33536/47500]	Loss: 0.6071	LR: 0.100000
Training Epoch: 7 [33792/47500]	Loss: 0.5205	LR: 0.100000
Training Epoch: 7 [34048/47500]	Loss: 0.5701	LR: 0.100000
Training Epoch: 7 [34304/47500]	Loss: 0.6458	LR: 0.100000
Training Epoch: 7 [34560/47500]	Loss: 0.6628	LR: 0.100000
Training Epoch: 7 [34816/47500]	Loss: 0.5960	LR: 0.100000
Training Epoch: 7 [35072/47500]	Loss: 0.5803	LR: 0.100000
Training Epoch: 7 [35328/47500]	Loss: 0.5611	LR: 0.100000
Training Epoch: 7 [35584/47500]	Loss: 0.5987	LR: 0.100000
Training Epoch: 7 [35840/47500]	Loss: 0.6642	LR: 0.100000
Training Epoch: 7 [36096/47500]	Loss: 0.6177	LR: 0.100000
Training Epoch: 7 [36352/47500]	Loss: 0.5961	LR: 0.100000
Training Epoch: 7 [36608/47500]	Loss: 0.5282	LR: 0.100000
Training Epoch: 7 [36864/47500]	Loss: 0.5999	LR: 0.100000
Training Epoch: 7 [37120/47500]	Loss: 0.6226	LR: 0.100000
Training Epoch: 7 [37376/47500]	Loss: 0.5756	LR: 0.100000
Training Epoch: 7 [37632/47500]	Loss: 0.5582	LR: 0.100000
Training Epoch: 7 [37888/47500]	Loss: 0.6259	LR: 0.100000
Training Epoch: 7 [38144/47500]	Loss: 0.6444	LR: 0.100000
Training Epoch: 7 [38400/47500]	Loss: 0.5481	LR: 0.100000
Training Epoch: 7 [38656/47500]	Loss: 0.5921	LR: 0.100000
Training Epoch: 7 [38912/47500]	Loss: 0.5122	LR: 0.100000
Training Epoch: 7 [39168/47500]	Loss: 0.6682	LR: 0.100000
Training Epoch: 7 [39424/47500]	Loss: 0.5771	LR: 0.100000
Training Epoch: 7 [39680/47500]	Loss: 0.6295	LR: 0.100000
Training Epoch: 7 [39936/47500]	Loss: 0.6539	LR: 0.100000
Training Epoch: 7 [40192/47500]	Loss: 0.5103	LR: 0.100000
Training Epoch: 7 [40448/47500]	Loss: 0.5760	LR: 0.100000
Training Epoch: 7 [40704/47500]	Loss: 0.5510	LR: 0.100000
Training Epoch: 7 [40960/47500]	Loss: 0.5582	LR: 0.100000
Training Epoch: 7 [41216/47500]	Loss: 0.5187	LR: 0.100000
Training Epoch: 7 [41472/47500]	Loss: 0.6025	LR: 0.100000
Training Epoch: 7 [41728/47500]	Loss: 0.4832	LR: 0.100000
Training Epoch: 7 [41984/47500]	Loss: 0.5229	LR: 0.100000
Training Epoch: 7 [42240/47500]	Loss: 0.5717	LR: 0.100000
Training Epoch: 7 [42496/47500]	Loss: 0.5458	LR: 0.100000
Training Epoch: 7 [42752/47500]	Loss: 0.5480	LR: 0.100000
Training Epoch: 7 [43008/47500]	Loss: 0.4932	LR: 0.100000
Training Epoch: 7 [43264/47500]	Loss: 0.6486	LR: 0.100000
Training Epoch: 7 [43520/47500]	Loss: 0.5926	LR: 0.100000
Training Epoch: 7 [43776/47500]	Loss: 0.6194	LR: 0.100000
Training Epoch: 7 [44032/47500]	Loss: 0.4891	LR: 0.100000
Training Epoch: 7 [44288/47500]	Loss: 0.6613	LR: 0.100000
Training Epoch: 7 [44544/47500]	Loss: 0.5675	LR: 0.100000
Training Epoch: 7 [44800/47500]	Loss: 0.4875	LR: 0.100000
Training Epoch: 7 [45056/47500]	Loss: 0.5672	LR: 0.100000
Training Epoch: 7 [45312/47500]	Loss: 0.7172	LR: 0.100000
Training Epoch: 7 [45568/47500]	Loss: 0.5842	LR: 0.100000
Training Epoch: 7 [45824/47500]	Loss: 0.5754	LR: 0.100000
Training Epoch: 7 [46080/47500]	Loss: 0.6591	LR: 0.100000
Training Epoch: 7 [46336/47500]	Loss: 0.5959	LR: 0.100000
Training Epoch: 7 [46592/47500]	Loss: 0.5579	LR: 0.100000
Training Epoch: 7 [46848/47500]	Loss: 0.6409	LR: 0.100000
Training Epoch: 7 [47104/47500]	Loss: 0.5644	LR: 0.100000
Training Epoch: 7 [47360/47500]	Loss: 0.5173	LR: 0.100000
Training Epoch: 7 [47500/47500]	Loss: 0.5963	LR: 0.100000
Epoch 7 - Average Train Loss: 0.5968, Train Accuracy: 0.7928
Epoch 7 training time consumed: 28.46s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0026, Accuracy: 0.7753, Time consumed:0.92s
Training Epoch: 8 [256/47500]	Loss: 0.5368	LR: 0.020000
Training Epoch: 8 [512/47500]	Loss: 0.5565	LR: 0.020000
Training Epoch: 8 [768/47500]	Loss: 0.5368	LR: 0.020000
Training Epoch: 8 [1024/47500]	Loss: 0.5177	LR: 0.020000
Training Epoch: 8 [1280/47500]	Loss: 0.4761	LR: 0.020000
Training Epoch: 8 [1536/47500]	Loss: 0.6466	LR: 0.020000
Training Epoch: 8 [1792/47500]	Loss: 0.5812	LR: 0.020000
Training Epoch: 8 [2048/47500]	Loss: 0.5773	LR: 0.020000
Training Epoch: 8 [2304/47500]	Loss: 0.4927	LR: 0.020000
Training Epoch: 8 [2560/47500]	Loss: 0.5336	LR: 0.020000
Training Epoch: 8 [2816/47500]	Loss: 0.4807	LR: 0.020000
Training Epoch: 8 [3072/47500]	Loss: 0.5444	LR: 0.020000
Training Epoch: 8 [3328/47500]	Loss: 0.4635	LR: 0.020000
Training Epoch: 8 [3584/47500]	Loss: 0.5838	LR: 0.020000
Training Epoch: 8 [3840/47500]	Loss: 0.4465	LR: 0.020000
Training Epoch: 8 [4096/47500]	Loss: 0.4494	LR: 0.020000
Training Epoch: 8 [4352/47500]	Loss: 0.4336	LR: 0.020000
Training Epoch: 8 [4608/47500]	Loss: 0.4506	LR: 0.020000
Training Epoch: 8 [4864/47500]	Loss: 0.4795	LR: 0.020000
Training Epoch: 8 [5120/47500]	Loss: 0.4297	LR: 0.020000
Training Epoch: 8 [5376/47500]	Loss: 0.4122	LR: 0.020000
Training Epoch: 8 [5632/47500]	Loss: 0.5116	LR: 0.020000
Training Epoch: 8 [5888/47500]	Loss: 0.5617	LR: 0.020000
Training Epoch: 8 [6144/47500]	Loss: 0.4151	LR: 0.020000
Training Epoch: 8 [6400/47500]	Loss: 0.4221	LR: 0.020000
Training Epoch: 8 [6656/47500]	Loss: 0.4896	LR: 0.020000
Training Epoch: 8 [6912/47500]	Loss: 0.4203	LR: 0.020000
Training Epoch: 8 [7168/47500]	Loss: 0.3920	LR: 0.020000
Training Epoch: 8 [7424/47500]	Loss: 0.5167	LR: 0.020000
Training Epoch: 8 [7680/47500]	Loss: 0.5093	LR: 0.020000
Training Epoch: 8 [7936/47500]	Loss: 0.5480	LR: 0.020000
Training Epoch: 8 [8192/47500]	Loss: 0.5685	LR: 0.020000
Training Epoch: 8 [8448/47500]	Loss: 0.5167	LR: 0.020000
Training Epoch: 8 [8704/47500]	Loss: 0.4398	LR: 0.020000
Training Epoch: 8 [8960/47500]	Loss: 0.5745	LR: 0.020000
Training Epoch: 8 [9216/47500]	Loss: 0.4725	LR: 0.020000
Training Epoch: 8 [9472/47500]	Loss: 0.5278	LR: 0.020000
Training Epoch: 8 [9728/47500]	Loss: 0.4634	LR: 0.020000
Training Epoch: 8 [9984/47500]	Loss: 0.4941	LR: 0.020000
Training Epoch: 8 [10240/47500]	Loss: 0.4074	LR: 0.020000
Training Epoch: 8 [10496/47500]	Loss: 0.5865	LR: 0.020000
Training Epoch: 8 [10752/47500]	Loss: 0.5436	LR: 0.020000
Training Epoch: 8 [11008/47500]	Loss: 0.4241	LR: 0.020000
Training Epoch: 8 [11264/47500]	Loss: 0.5136	LR: 0.020000
Training Epoch: 8 [11520/47500]	Loss: 0.3323	LR: 0.020000
Training Epoch: 8 [11776/47500]	Loss: 0.4575	LR: 0.020000
Training Epoch: 8 [12032/47500]	Loss: 0.3596	LR: 0.020000
Training Epoch: 8 [12288/47500]	Loss: 0.4068	LR: 0.020000
Training Epoch: 8 [12544/47500]	Loss: 0.5624	LR: 0.020000
Training Epoch: 8 [12800/47500]	Loss: 0.5434	LR: 0.020000
Training Epoch: 8 [13056/47500]	Loss: 0.4886	LR: 0.020000
Training Epoch: 8 [13312/47500]	Loss: 0.4197	LR: 0.020000
Training Epoch: 8 [13568/47500]	Loss: 0.4366	LR: 0.020000
Training Epoch: 8 [13824/47500]	Loss: 0.4737	LR: 0.020000
Training Epoch: 8 [14080/47500]	Loss: 0.3974	LR: 0.020000
Training Epoch: 8 [14336/47500]	Loss: 0.4434	LR: 0.020000
Training Epoch: 8 [14592/47500]	Loss: 0.4654	LR: 0.020000
Training Epoch: 8 [14848/47500]	Loss: 0.4219	LR: 0.020000
Training Epoch: 8 [15104/47500]	Loss: 0.4721	LR: 0.020000
Training Epoch: 8 [15360/47500]	Loss: 0.4556	LR: 0.020000
Training Epoch: 8 [15616/47500]	Loss: 0.4805	LR: 0.020000
Training Epoch: 8 [15872/47500]	Loss: 0.4194	LR: 0.020000
Training Epoch: 8 [16128/47500]	Loss: 0.4360	LR: 0.020000
Training Epoch: 8 [16384/47500]	Loss: 0.3984	LR: 0.020000
Training Epoch: 8 [16640/47500]	Loss: 0.5129	LR: 0.020000
Training Epoch: 8 [16896/47500]	Loss: 0.3627	LR: 0.020000
Training Epoch: 8 [17152/47500]	Loss: 0.4296	LR: 0.020000
Training Epoch: 8 [17408/47500]	Loss: 0.4819	LR: 0.020000
Training Epoch: 8 [17664/47500]	Loss: 0.4047	LR: 0.020000
Training Epoch: 8 [17920/47500]	Loss: 0.4750	LR: 0.020000
Training Epoch: 8 [18176/47500]	Loss: 0.4838	LR: 0.020000
Training Epoch: 8 [18432/47500]	Loss: 0.4299	LR: 0.020000
Training Epoch: 8 [18688/47500]	Loss: 0.4222	LR: 0.020000
Training Epoch: 8 [18944/47500]	Loss: 0.4410	LR: 0.020000
Training Epoch: 8 [19200/47500]	Loss: 0.4926	LR: 0.020000
Training Epoch: 8 [19456/47500]	Loss: 0.4365	LR: 0.020000
Training Epoch: 8 [19712/47500]	Loss: 0.3646	LR: 0.020000
Training Epoch: 8 [19968/47500]	Loss: 0.3580	LR: 0.020000
Training Epoch: 8 [20224/47500]	Loss: 0.4926	LR: 0.020000
Training Epoch: 8 [20480/47500]	Loss: 0.3828	LR: 0.020000
Training Epoch: 8 [20736/47500]	Loss: 0.4210	LR: 0.020000
Training Epoch: 8 [20992/47500]	Loss: 0.4767	LR: 0.020000
Training Epoch: 8 [21248/47500]	Loss: 0.4715	LR: 0.020000
Training Epoch: 8 [21504/47500]	Loss: 0.5534	LR: 0.020000
Training Epoch: 8 [21760/47500]	Loss: 0.4606	LR: 0.020000
Training Epoch: 8 [22016/47500]	Loss: 0.4235	LR: 0.020000
Training Epoch: 8 [22272/47500]	Loss: 0.4176	LR: 0.020000
Training Epoch: 8 [22528/47500]	Loss: 0.5048	LR: 0.020000
Training Epoch: 8 [22784/47500]	Loss: 0.4289	LR: 0.020000
Training Epoch: 8 [23040/47500]	Loss: 0.4681	LR: 0.020000
Training Epoch: 8 [23296/47500]	Loss: 0.5009	LR: 0.020000
Training Epoch: 8 [23552/47500]	Loss: 0.3990	LR: 0.020000
Training Epoch: 8 [23808/47500]	Loss: 0.4080	LR: 0.020000
Training Epoch: 8 [24064/47500]	Loss: 0.4397	LR: 0.020000
Training Epoch: 8 [24320/47500]	Loss: 0.5289	LR: 0.020000
Training Epoch: 8 [24576/47500]	Loss: 0.4181	LR: 0.020000
Training Epoch: 8 [24832/47500]	Loss: 0.4211	LR: 0.020000
Training Epoch: 8 [25088/47500]	Loss: 0.5295	LR: 0.020000
Training Epoch: 8 [25344/47500]	Loss: 0.3684	LR: 0.020000
Training Epoch: 8 [25600/47500]	Loss: 0.5430	LR: 0.020000
Training Epoch: 8 [25856/47500]	Loss: 0.4236	LR: 0.020000
Training Epoch: 8 [26112/47500]	Loss: 0.4029	LR: 0.020000
Training Epoch: 8 [26368/47500]	Loss: 0.4562	LR: 0.020000
Training Epoch: 8 [26624/47500]	Loss: 0.4550	LR: 0.020000
Training Epoch: 8 [26880/47500]	Loss: 0.4401	LR: 0.020000
Training Epoch: 8 [27136/47500]	Loss: 0.4325	LR: 0.020000
Training Epoch: 8 [27392/47500]	Loss: 0.4450	LR: 0.020000
Training Epoch: 8 [27648/47500]	Loss: 0.4524	LR: 0.020000
Training Epoch: 8 [27904/47500]	Loss: 0.3885	LR: 0.020000
Training Epoch: 8 [28160/47500]	Loss: 0.3718	LR: 0.020000
Training Epoch: 8 [28416/47500]	Loss: 0.4962	LR: 0.020000
Training Epoch: 8 [28672/47500]	Loss: 0.4665	LR: 0.020000
Training Epoch: 8 [28928/47500]	Loss: 0.3600	LR: 0.020000
Training Epoch: 8 [29184/47500]	Loss: 0.4946	LR: 0.020000
Training Epoch: 8 [29440/47500]	Loss: 0.4605	LR: 0.020000
Training Epoch: 8 [29696/47500]	Loss: 0.3806	LR: 0.020000
Training Epoch: 8 [29952/47500]	Loss: 0.5221	LR: 0.020000
Training Epoch: 8 [30208/47500]	Loss: 0.3592	LR: 0.020000
Training Epoch: 8 [30464/47500]	Loss: 0.4734	LR: 0.020000
Training Epoch: 8 [30720/47500]	Loss: 0.4754	LR: 0.020000
Training Epoch: 8 [30976/47500]	Loss: 0.3824	LR: 0.020000
Training Epoch: 8 [31232/47500]	Loss: 0.4784	LR: 0.020000
Training Epoch: 8 [31488/47500]	Loss: 0.4242	LR: 0.020000
Training Epoch: 8 [31744/47500]	Loss: 0.4728	LR: 0.020000
Training Epoch: 8 [32000/47500]	Loss: 0.4478	LR: 0.020000
Training Epoch: 8 [32256/47500]	Loss: 0.3898	LR: 0.020000
Training Epoch: 8 [32512/47500]	Loss: 0.4264	LR: 0.020000
Training Epoch: 8 [32768/47500]	Loss: 0.3767	LR: 0.020000
Training Epoch: 8 [33024/47500]	Loss: 0.4632	LR: 0.020000
Training Epoch: 8 [33280/47500]	Loss: 0.4365	LR: 0.020000
Training Epoch: 8 [33536/47500]	Loss: 0.4025	LR: 0.020000
Training Epoch: 8 [33792/47500]	Loss: 0.3630	LR: 0.020000
Training Epoch: 8 [34048/47500]	Loss: 0.3883	LR: 0.020000
Training Epoch: 8 [34304/47500]	Loss: 0.3412	LR: 0.020000
Training Epoch: 8 [34560/47500]	Loss: 0.3600	LR: 0.020000
Training Epoch: 8 [34816/47500]	Loss: 0.3402	LR: 0.020000
Training Epoch: 8 [35072/47500]	Loss: 0.3844	LR: 0.020000
Training Epoch: 8 [35328/47500]	Loss: 0.4609	LR: 0.020000
Training Epoch: 8 [35584/47500]	Loss: 0.5001	LR: 0.020000
Training Epoch: 8 [35840/47500]	Loss: 0.4629	LR: 0.020000
Training Epoch: 8 [36096/47500]	Loss: 0.3163	LR: 0.020000
Training Epoch: 8 [36352/47500]	Loss: 0.3666	LR: 0.020000
Training Epoch: 8 [36608/47500]	Loss: 0.3487	LR: 0.020000
Training Epoch: 8 [36864/47500]	Loss: 0.3984	LR: 0.020000
Training Epoch: 8 [37120/47500]	Loss: 0.4293	LR: 0.020000
Training Epoch: 8 [37376/47500]	Loss: 0.5267	LR: 0.020000
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Training Epoch: 8 [47500/47500]	Loss: 0.3243	LR: 0.020000
Epoch 8 - Average Train Loss: 0.4493, Train Accuracy: 0.8426
Epoch 8 training time consumed: 28.43s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0017, Accuracy: 0.8572, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_11h_53m_13s/ResNet18-Cifar10-seed7-ret50-8-best.pth
Training Epoch: 9 [256/47500]	Loss: 0.4792	LR: 0.020000
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Training Epoch: 9 [47500/47500]	Loss: 0.3959	LR: 0.020000
Epoch 9 - Average Train Loss: 0.4054, Train Accuracy: 0.8591
Epoch 9 training time consumed: 28.47s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0016, Accuracy: 0.8665, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_11h_53m_13s/ResNet18-Cifar10-seed7-ret50-9-best.pth
Training Epoch: 10 [256/47500]	Loss: 0.3646	LR: 0.020000
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Training Epoch: 10 [13824/47500]	Loss: 0.3431	LR: 0.020000
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Training Epoch: 10 [14336/47500]	Loss: 0.4146	LR: 0.020000
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Training Epoch: 10 [16896/47500]	Loss: 0.3484	LR: 0.020000
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Training Epoch: 10 [21504/47500]	Loss: 0.4144	LR: 0.020000
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Training Epoch: 10 [22016/47500]	Loss: 0.4443	LR: 0.020000
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Training Epoch: 10 [22528/47500]	Loss: 0.3861	LR: 0.020000
Training Epoch: 10 [22784/47500]	Loss: 0.4550	LR: 0.020000
Training Epoch: 10 [23040/47500]	Loss: 0.2790	LR: 0.020000
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Training Epoch: 10 [24576/47500]	Loss: 0.3703	LR: 0.020000
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Training Epoch: 10 [25088/47500]	Loss: 0.3788	LR: 0.020000
Training Epoch: 10 [25344/47500]	Loss: 0.3347	LR: 0.020000
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Training Epoch: 10 [25856/47500]	Loss: 0.3396	LR: 0.020000
Training Epoch: 10 [26112/47500]	Loss: 0.4227	LR: 0.020000
Training Epoch: 10 [26368/47500]	Loss: 0.4217	LR: 0.020000
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Training Epoch: 10 [28416/47500]	Loss: 0.3910	LR: 0.020000
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Training Epoch: 10 [30208/47500]	Loss: 0.3997	LR: 0.020000
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Training Epoch: 10 [32256/47500]	Loss: 0.3157	LR: 0.020000
Training Epoch: 10 [32512/47500]	Loss: 0.4001	LR: 0.020000
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Training Epoch: 10 [33024/47500]	Loss: 0.3184	LR: 0.020000
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Training Epoch: 10 [35328/47500]	Loss: 0.3190	LR: 0.020000
Training Epoch: 10 [35584/47500]	Loss: 0.3884	LR: 0.020000
Training Epoch: 10 [35840/47500]	Loss: 0.3202	LR: 0.020000
Training Epoch: 10 [36096/47500]	Loss: 0.3509	LR: 0.020000
Training Epoch: 10 [36352/47500]	Loss: 0.3306	LR: 0.020000
Training Epoch: 10 [36608/47500]	Loss: 0.4221	LR: 0.020000
Training Epoch: 10 [36864/47500]	Loss: 0.2418	LR: 0.020000
Training Epoch: 10 [37120/47500]	Loss: 0.3757	LR: 0.020000
Training Epoch: 10 [37376/47500]	Loss: 0.3641	LR: 0.020000
Training Epoch: 10 [37632/47500]	Loss: 0.3490	LR: 0.020000
Training Epoch: 10 [37888/47500]	Loss: 0.3809	LR: 0.020000
Training Epoch: 10 [38144/47500]	Loss: 0.3485	LR: 0.020000
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Training Epoch: 10 [38656/47500]	Loss: 0.3522	LR: 0.020000
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Training Epoch: 10 [39168/47500]	Loss: 0.3842	LR: 0.020000
Training Epoch: 10 [39424/47500]	Loss: 0.3730	LR: 0.020000
Training Epoch: 10 [39680/47500]	Loss: 0.3025	LR: 0.020000
Training Epoch: 10 [39936/47500]	Loss: 0.3270	LR: 0.020000
Training Epoch: 10 [40192/47500]	Loss: 0.4003	LR: 0.020000
Training Epoch: 10 [40448/47500]	Loss: 0.4457	LR: 0.020000
Training Epoch: 10 [40704/47500]	Loss: 0.3907	LR: 0.020000
Training Epoch: 10 [40960/47500]	Loss: 0.4191	LR: 0.020000
Training Epoch: 10 [41216/47500]	Loss: 0.3363	LR: 0.020000
Training Epoch: 10 [41472/47500]	Loss: 0.4321	LR: 0.020000
Training Epoch: 10 [41728/47500]	Loss: 0.3060	LR: 0.020000
Training Epoch: 10 [41984/47500]	Loss: 0.4013	LR: 0.020000
Training Epoch: 10 [42240/47500]	Loss: 0.3261	LR: 0.020000
Training Epoch: 10 [42496/47500]	Loss: 0.3150	LR: 0.020000
Training Epoch: 10 [42752/47500]	Loss: 0.3679	LR: 0.020000
Training Epoch: 10 [43008/47500]	Loss: 0.4073	LR: 0.020000
Training Epoch: 10 [43264/47500]	Loss: 0.4172	LR: 0.020000
Training Epoch: 10 [43520/47500]	Loss: 0.4797	LR: 0.020000
Training Epoch: 10 [43776/47500]	Loss: 0.3251	LR: 0.020000
Training Epoch: 10 [44032/47500]	Loss: 0.4064	LR: 0.020000
Training Epoch: 10 [44288/47500]	Loss: 0.4249	LR: 0.020000
Training Epoch: 10 [44544/47500]	Loss: 0.4379	LR: 0.020000
Training Epoch: 10 [44800/47500]	Loss: 0.3832	LR: 0.020000
Training Epoch: 10 [45056/47500]	Loss: 0.4628	LR: 0.020000
Training Epoch: 10 [45312/47500]	Loss: 0.3912	LR: 0.020000
Training Epoch: 10 [45568/47500]	Loss: 0.2672	LR: 0.020000
Training Epoch: 10 [45824/47500]	Loss: 0.4812	LR: 0.020000
Training Epoch: 10 [46080/47500]	Loss: 0.4700	LR: 0.020000
Training Epoch: 10 [46336/47500]	Loss: 0.4198	LR: 0.020000
Training Epoch: 10 [46592/47500]	Loss: 0.3501	LR: 0.020000
Training Epoch: 10 [46848/47500]	Loss: 0.3297	LR: 0.020000
Training Epoch: 10 [47104/47500]	Loss: 0.4237	LR: 0.020000
Training Epoch: 10 [47360/47500]	Loss: 0.4086	LR: 0.020000
Training Epoch: 10 [47500/47500]	Loss: 0.4915	LR: 0.020000
Epoch 10 - Average Train Loss: 0.3798, Train Accuracy: 0.8665
Epoch 10 training time consumed: 28.78s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0016, Accuracy: 0.8623, Time consumed:0.91s
Training Epoch: 11 [256/47500]	Loss: 0.3768	LR: 0.020000
Training Epoch: 11 [512/47500]	Loss: 0.3952	LR: 0.020000
Training Epoch: 11 [768/47500]	Loss: 0.3247	LR: 0.020000
Training Epoch: 11 [1024/47500]	Loss: 0.3527	LR: 0.020000
Training Epoch: 11 [1280/47500]	Loss: 0.3358	LR: 0.020000
Training Epoch: 11 [1536/47500]	Loss: 0.3339	LR: 0.020000
Training Epoch: 11 [1792/47500]	Loss: 0.3624	LR: 0.020000
Training Epoch: 11 [2048/47500]	Loss: 0.3896	LR: 0.020000
Training Epoch: 11 [2304/47500]	Loss: 0.2886	LR: 0.020000
Training Epoch: 11 [2560/47500]	Loss: 0.3488	LR: 0.020000
Training Epoch: 11 [2816/47500]	Loss: 0.4290	LR: 0.020000
Training Epoch: 11 [3072/47500]	Loss: 0.3132	LR: 0.020000
Training Epoch: 11 [3328/47500]	Loss: 0.3960	LR: 0.020000
Training Epoch: 11 [3584/47500]	Loss: 0.3767	LR: 0.020000
Training Epoch: 11 [3840/47500]	Loss: 0.2594	LR: 0.020000
Training Epoch: 11 [4096/47500]	Loss: 0.3651	LR: 0.020000
Training Epoch: 11 [4352/47500]	Loss: 0.4112	LR: 0.020000
Training Epoch: 11 [4608/47500]	Loss: 0.3417	LR: 0.020000
Training Epoch: 11 [4864/47500]	Loss: 0.3683	LR: 0.020000
Training Epoch: 11 [5120/47500]	Loss: 0.3603	LR: 0.020000
Training Epoch: 11 [5376/47500]	Loss: 0.3511	LR: 0.020000
Training Epoch: 11 [5632/47500]	Loss: 0.3928	LR: 0.020000
Training Epoch: 11 [5888/47500]	Loss: 0.3717	LR: 0.020000
Training Epoch: 11 [6144/47500]	Loss: 0.3072	LR: 0.020000
Training Epoch: 11 [6400/47500]	Loss: 0.3424	LR: 0.020000
Training Epoch: 11 [6656/47500]	Loss: 0.3308	LR: 0.020000
Training Epoch: 11 [6912/47500]	Loss: 0.2928	LR: 0.020000
Training Epoch: 11 [7168/47500]	Loss: 0.3214	LR: 0.020000
Training Epoch: 11 [7424/47500]	Loss: 0.3905	LR: 0.020000
Training Epoch: 11 [7680/47500]	Loss: 0.3901	LR: 0.020000
Training Epoch: 11 [7936/47500]	Loss: 0.3825	LR: 0.020000
Training Epoch: 11 [8192/47500]	Loss: 0.4695	LR: 0.020000
Training Epoch: 11 [8448/47500]	Loss: 0.3910	LR: 0.020000
Training Epoch: 11 [8704/47500]	Loss: 0.2583	LR: 0.020000
Training Epoch: 11 [8960/47500]	Loss: 0.3679	LR: 0.020000
Training Epoch: 11 [9216/47500]	Loss: 0.4125	LR: 0.020000
Training Epoch: 11 [9472/47500]	Loss: 0.3165	LR: 0.020000
Training Epoch: 11 [9728/47500]	Loss: 0.3053	LR: 0.020000
Training Epoch: 11 [9984/47500]	Loss: 0.3634	LR: 0.020000
Training Epoch: 11 [10240/47500]	Loss: 0.4547	LR: 0.020000
Training Epoch: 11 [10496/47500]	Loss: 0.4227	LR: 0.020000
Training Epoch: 11 [10752/47500]	Loss: 0.3752	LR: 0.020000
Training Epoch: 11 [11008/47500]	Loss: 0.3296	LR: 0.020000
Training Epoch: 11 [11264/47500]	Loss: 0.4090	LR: 0.020000
Training Epoch: 11 [11520/47500]	Loss: 0.3747	LR: 0.020000
Training Epoch: 11 [11776/47500]	Loss: 0.3505	LR: 0.020000
Training Epoch: 11 [12032/47500]	Loss: 0.2786	LR: 0.020000
Training Epoch: 11 [12288/47500]	Loss: 0.2645	LR: 0.020000
Training Epoch: 11 [12544/47500]	Loss: 0.3987	LR: 0.020000
Training Epoch: 11 [12800/47500]	Loss: 0.4134	LR: 0.020000
Training Epoch: 11 [13056/47500]	Loss: 0.3896	LR: 0.020000
Training Epoch: 11 [13312/47500]	Loss: 0.3478	LR: 0.020000
Training Epoch: 11 [13568/47500]	Loss: 0.4175	LR: 0.020000
Training Epoch: 11 [13824/47500]	Loss: 0.4162	LR: 0.020000
Training Epoch: 11 [14080/47500]	Loss: 0.3004	LR: 0.020000
Training Epoch: 11 [14336/47500]	Loss: 0.2967	LR: 0.020000
Training Epoch: 11 [14592/47500]	Loss: 0.3450	LR: 0.020000
Training Epoch: 11 [14848/47500]	Loss: 0.3425	LR: 0.020000
Training Epoch: 11 [15104/47500]	Loss: 0.3355	LR: 0.020000
Training Epoch: 11 [15360/47500]	Loss: 0.3192	LR: 0.020000
Training Epoch: 11 [15616/47500]	Loss: 0.3912	LR: 0.020000
Training Epoch: 11 [15872/47500]	Loss: 0.3307	LR: 0.020000
Training Epoch: 11 [16128/47500]	Loss: 0.2928	LR: 0.020000
Training Epoch: 11 [16384/47500]	Loss: 0.3132	LR: 0.020000
Training Epoch: 11 [16640/47500]	Loss: 0.4660	LR: 0.020000
Training Epoch: 11 [16896/47500]	Loss: 0.2854	LR: 0.020000
Training Epoch: 11 [17152/47500]	Loss: 0.4136	LR: 0.020000
Training Epoch: 11 [17408/47500]	Loss: 0.3379	LR: 0.020000
Training Epoch: 11 [17664/47500]	Loss: 0.4218	LR: 0.020000
Training Epoch: 11 [17920/47500]	Loss: 0.2857	LR: 0.020000
Training Epoch: 11 [18176/47500]	Loss: 0.3192	LR: 0.020000
Training Epoch: 11 [18432/47500]	Loss: 0.4234	LR: 0.020000
Training Epoch: 11 [18688/47500]	Loss: 0.3390	LR: 0.020000
Training Epoch: 11 [18944/47500]	Loss: 0.3386	LR: 0.020000
Training Epoch: 11 [19200/47500]	Loss: 0.3877	LR: 0.020000
Training Epoch: 11 [19456/47500]	Loss: 0.2898	LR: 0.020000
Training Epoch: 11 [19712/47500]	Loss: 0.3534	LR: 0.020000
Training Epoch: 11 [19968/47500]	Loss: 0.2822	LR: 0.020000
Training Epoch: 11 [20224/47500]	Loss: 0.3717	LR: 0.020000
Training Epoch: 11 [20480/47500]	Loss: 0.4012	LR: 0.020000
Training Epoch: 11 [20736/47500]	Loss: 0.2913	LR: 0.020000
Training Epoch: 11 [20992/47500]	Loss: 0.4066	LR: 0.020000
Training Epoch: 11 [21248/47500]	Loss: 0.3725	LR: 0.020000
Training Epoch: 11 [21504/47500]	Loss: 0.4346	LR: 0.020000
Training Epoch: 11 [21760/47500]	Loss: 0.2765	LR: 0.020000
Training Epoch: 11 [22016/47500]	Loss: 0.3530	LR: 0.020000
Training Epoch: 11 [22272/47500]	Loss: 0.3476	LR: 0.020000
Training Epoch: 11 [22528/47500]	Loss: 0.4157	LR: 0.020000
Training Epoch: 11 [22784/47500]	Loss: 0.4395	LR: 0.020000
Training Epoch: 11 [23040/47500]	Loss: 0.4299	LR: 0.020000
Training Epoch: 11 [23296/47500]	Loss: 0.3405	LR: 0.020000
Training Epoch: 11 [23552/47500]	Loss: 0.4169	LR: 0.020000
Training Epoch: 11 [23808/47500]	Loss: 0.3308	LR: 0.020000
Training Epoch: 11 [24064/47500]	Loss: 0.4196	LR: 0.020000
Training Epoch: 11 [24320/47500]	Loss: 0.3688	LR: 0.020000
Training Epoch: 11 [24576/47500]	Loss: 0.3963	LR: 0.020000
Training Epoch: 11 [24832/47500]	Loss: 0.3171	LR: 0.020000
Training Epoch: 11 [25088/47500]	Loss: 0.5298	LR: 0.020000
Training Epoch: 11 [25344/47500]	Loss: 0.3825	LR: 0.020000
Training Epoch: 11 [25600/47500]	Loss: 0.4162	LR: 0.020000
Training Epoch: 11 [25856/47500]	Loss: 0.3306	LR: 0.020000
Training Epoch: 11 [26112/47500]	Loss: 0.3228	LR: 0.020000
Training Epoch: 11 [26368/47500]	Loss: 0.3007	LR: 0.020000
Training Epoch: 11 [26624/47500]	Loss: 0.3652	LR: 0.020000
Training Epoch: 11 [26880/47500]	Loss: 0.3339	LR: 0.020000
Training Epoch: 11 [27136/47500]	Loss: 0.4284	LR: 0.020000
Training Epoch: 11 [27392/47500]	Loss: 0.4460	LR: 0.020000
Training Epoch: 11 [27648/47500]	Loss: 0.3107	LR: 0.020000
Training Epoch: 11 [27904/47500]	Loss: 0.4363	LR: 0.020000
Training Epoch: 11 [28160/47500]	Loss: 0.4492	LR: 0.020000
Training Epoch: 11 [28416/47500]	Loss: 0.3285	LR: 0.020000
Training Epoch: 11 [28672/47500]	Loss: 0.2961	LR: 0.020000
Training Epoch: 11 [28928/47500]	Loss: 0.4255	LR: 0.020000
Training Epoch: 11 [29184/47500]	Loss: 0.4208	LR: 0.020000
Training Epoch: 11 [29440/47500]	Loss: 0.4238	LR: 0.020000
Training Epoch: 11 [29696/47500]	Loss: 0.4547	LR: 0.020000
Training Epoch: 11 [29952/47500]	Loss: 0.3879	LR: 0.020000
Training Epoch: 11 [30208/47500]	Loss: 0.3579	LR: 0.020000
Training Epoch: 11 [30464/47500]	Loss: 0.4211	LR: 0.020000
Training Epoch: 11 [30720/47500]	Loss: 0.3656	LR: 0.020000
Training Epoch: 11 [30976/47500]	Loss: 0.4071	LR: 0.020000
Training Epoch: 11 [31232/47500]	Loss: 0.2681	LR: 0.020000
Training Epoch: 11 [31488/47500]	Loss: 0.3502	LR: 0.020000
Training Epoch: 11 [31744/47500]	Loss: 0.3005	LR: 0.020000
Training Epoch: 11 [32000/47500]	Loss: 0.3082	LR: 0.020000
Training Epoch: 11 [32256/47500]	Loss: 0.3729	LR: 0.020000
Training Epoch: 11 [32512/47500]	Loss: 0.3693	LR: 0.020000
Training Epoch: 11 [32768/47500]	Loss: 0.4592	LR: 0.020000
Training Epoch: 11 [33024/47500]	Loss: 0.3178	LR: 0.020000
Training Epoch: 11 [33280/47500]	Loss: 0.3835	LR: 0.020000
Training Epoch: 11 [33536/47500]	Loss: 0.3481	LR: 0.020000
Training Epoch: 11 [33792/47500]	Loss: 0.3634	LR: 0.020000
Training Epoch: 11 [34048/47500]	Loss: 0.3299	LR: 0.020000
Training Epoch: 11 [34304/47500]	Loss: 0.3481	LR: 0.020000
Training Epoch: 11 [34560/47500]	Loss: 0.3382	LR: 0.020000
Training Epoch: 11 [34816/47500]	Loss: 0.4251	LR: 0.020000
Training Epoch: 11 [35072/47500]	Loss: 0.3582	LR: 0.020000
Training Epoch: 11 [35328/47500]	Loss: 0.3941	LR: 0.020000
Training Epoch: 11 [35584/47500]	Loss: 0.3375	LR: 0.020000
Training Epoch: 11 [35840/47500]	Loss: 0.4166	LR: 0.020000
Training Epoch: 11 [36096/47500]	Loss: 0.3600	LR: 0.020000
Training Epoch: 11 [36352/47500]	Loss: 0.3630	LR: 0.020000
Training Epoch: 11 [36608/47500]	Loss: 0.2954	LR: 0.020000
Training Epoch: 11 [36864/47500]	Loss: 0.4803	LR: 0.020000
Training Epoch: 11 [37120/47500]	Loss: 0.3699	LR: 0.020000
Training Epoch: 11 [37376/47500]	Loss: 0.2990	LR: 0.020000
Training Epoch: 11 [37632/47500]	Loss: 0.4013	LR: 0.020000
Training Epoch: 11 [37888/47500]	Loss: 0.3898	LR: 0.020000
Training Epoch: 11 [38144/47500]	Loss: 0.3199	LR: 0.020000
Training Epoch: 11 [38400/47500]	Loss: 0.4145	LR: 0.020000
Training Epoch: 11 [38656/47500]	Loss: 0.3715	LR: 0.020000
Training Epoch: 11 [38912/47500]	Loss: 0.3987	LR: 0.020000
Training Epoch: 11 [39168/47500]	Loss: 0.4145	LR: 0.020000
Training Epoch: 11 [39424/47500]	Loss: 0.3741	LR: 0.020000
Training Epoch: 11 [39680/47500]	Loss: 0.4637	LR: 0.020000
Training Epoch: 11 [39936/47500]	Loss: 0.4418	LR: 0.020000
Training Epoch: 11 [40192/47500]	Loss: 0.3346	LR: 0.020000
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Training Epoch: 11 [47360/47500]	Loss: 0.3555	LR: 0.020000
Training Epoch: 11 [47500/47500]	Loss: 0.4819	LR: 0.020000
Epoch 11 - Average Train Loss: 0.3638, Train Accuracy: 0.8721
Epoch 11 training time consumed: 29.12s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0015, Accuracy: 0.8731, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_11h_53m_13s/ResNet18-Cifar10-seed7-ret50-11-best.pth
Training Epoch: 12 [256/47500]	Loss: 0.3002	LR: 0.004000
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Training Epoch: 12 [47360/47500]	Loss: 0.4110	LR: 0.004000
Training Epoch: 12 [47500/47500]	Loss: 0.2561	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3189, Train Accuracy: 0.8884
Epoch 12 training time consumed: 28.71s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0014, Accuracy: 0.8828, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_11h_53m_13s/ResNet18-Cifar10-seed7-ret50-12-best.pth
Training Epoch: 13 [256/47500]	Loss: 0.2590	LR: 0.004000
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Training Epoch: 13 [47500/47500]	Loss: 0.2712	LR: 0.004000
Epoch 13 - Average Train Loss: 0.3012, Train Accuracy: 0.8968
Epoch 13 training time consumed: 29.16s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0014, Accuracy: 0.8871, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_11h_53m_13s/ResNet18-Cifar10-seed7-ret50-13-best.pth
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Training Epoch: 14 [47500/47500]	Loss: 0.3294	LR: 0.004000
Epoch 14 - Average Train Loss: 0.2960, Train Accuracy: 0.8976
Epoch 14 training time consumed: 28.78s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0013, Accuracy: 0.8889, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_11h_53m_13s/ResNet18-Cifar10-seed7-ret50-14-best.pth
Training Epoch: 15 [256/47500]	Loss: 0.2402	LR: 0.004000
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Training Epoch: 15 [47500/47500]	Loss: 0.2420	LR: 0.004000
Epoch 15 - Average Train Loss: 0.2902, Train Accuracy: 0.8988
Epoch 15 training time consumed: 28.73s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0013, Accuracy: 0.8901, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_11h_53m_13s/ResNet18-Cifar10-seed7-ret50-15-best.pth
Training Epoch: 16 [256/47500]	Loss: 0.3231	LR: 0.000800
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Training Epoch: 16 [47500/47500]	Loss: 0.2953	LR: 0.000800
Epoch 16 - Average Train Loss: 0.2779, Train Accuracy: 0.9029
Epoch 16 training time consumed: 28.66s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0013, Accuracy: 0.8935, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_11h_53m_13s/ResNet18-Cifar10-seed7-ret50-16-best.pth
Training Epoch: 17 [256/47500]	Loss: 0.2209	LR: 0.000800
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Training Epoch: 17 [44544/47500]	Loss: 0.2918	LR: 0.000800
Training Epoch: 17 [44800/47500]	Loss: 0.3267	LR: 0.000800
Training Epoch: 17 [45056/47500]	Loss: 0.3619	LR: 0.000800
Training Epoch: 17 [45312/47500]	Loss: 0.3576	LR: 0.000800
Training Epoch: 17 [45568/47500]	Loss: 0.2627	LR: 0.000800
Training Epoch: 17 [45824/47500]	Loss: 0.2562	LR: 0.000800
Training Epoch: 17 [46080/47500]	Loss: 0.2639	LR: 0.000800
Training Epoch: 17 [46336/47500]	Loss: 0.3140	LR: 0.000800
Training Epoch: 17 [46592/47500]	Loss: 0.3148	LR: 0.000800
Training Epoch: 17 [46848/47500]	Loss: 0.3095	LR: 0.000800
Training Epoch: 17 [47104/47500]	Loss: 0.2499	LR: 0.000800
Training Epoch: 17 [47360/47500]	Loss: 0.2192	LR: 0.000800
Training Epoch: 17 [47500/47500]	Loss: 0.1951	LR: 0.000800
Epoch 17 - Average Train Loss: 0.2699, Train Accuracy: 0.9053
Epoch 17 training time consumed: 28.61s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0013, Accuracy: 0.8928, Time consumed:0.97s
Training Epoch: 18 [256/47500]	Loss: 0.2969	LR: 0.000800
Training Epoch: 18 [512/47500]	Loss: 0.2861	LR: 0.000800
Training Epoch: 18 [768/47500]	Loss: 0.3561	LR: 0.000800
Training Epoch: 18 [1024/47500]	Loss: 0.2526	LR: 0.000800
Training Epoch: 18 [1280/47500]	Loss: 0.2302	LR: 0.000800
Training Epoch: 18 [1536/47500]	Loss: 0.2172	LR: 0.000800
Training Epoch: 18 [1792/47500]	Loss: 0.2440	LR: 0.000800
Training Epoch: 18 [2048/47500]	Loss: 0.2888	LR: 0.000800
Training Epoch: 18 [2304/47500]	Loss: 0.2486	LR: 0.000800
Training Epoch: 18 [2560/47500]	Loss: 0.3229	LR: 0.000800
Training Epoch: 18 [2816/47500]	Loss: 0.2018	LR: 0.000800
Training Epoch: 18 [3072/47500]	Loss: 0.2609	LR: 0.000800
Training Epoch: 18 [3328/47500]	Loss: 0.2536	LR: 0.000800
Training Epoch: 18 [3584/47500]	Loss: 0.2339	LR: 0.000800
Training Epoch: 18 [3840/47500]	Loss: 0.2697	LR: 0.000800
Training Epoch: 18 [4096/47500]	Loss: 0.1882	LR: 0.000800
Training Epoch: 18 [4352/47500]	Loss: 0.2929	LR: 0.000800
Training Epoch: 18 [4608/47500]	Loss: 0.3045	LR: 0.000800
Training Epoch: 18 [4864/47500]	Loss: 0.2474	LR: 0.000800
Training Epoch: 18 [5120/47500]	Loss: 0.2767	LR: 0.000800
Training Epoch: 18 [5376/47500]	Loss: 0.2774	LR: 0.000800
Training Epoch: 18 [5632/47500]	Loss: 0.2030	LR: 0.000800
Training Epoch: 18 [5888/47500]	Loss: 0.2721	LR: 0.000800
Training Epoch: 18 [6144/47500]	Loss: 0.2829	LR: 0.000800
Training Epoch: 18 [6400/47500]	Loss: 0.2502	LR: 0.000800
Training Epoch: 18 [6656/47500]	Loss: 0.2904	LR: 0.000800
Training Epoch: 18 [6912/47500]	Loss: 0.2823	LR: 0.000800
Training Epoch: 18 [7168/47500]	Loss: 0.2798	LR: 0.000800
Training Epoch: 18 [7424/47500]	Loss: 0.2404	LR: 0.000800
Training Epoch: 18 [7680/47500]	Loss: 0.2315	LR: 0.000800
Training Epoch: 18 [7936/47500]	Loss: 0.2910	LR: 0.000800
Training Epoch: 18 [8192/47500]	Loss: 0.2627	LR: 0.000800
Training Epoch: 18 [8448/47500]	Loss: 0.3261	LR: 0.000800
Training Epoch: 18 [8704/47500]	Loss: 0.2507	LR: 0.000800
Training Epoch: 18 [8960/47500]	Loss: 0.2791	LR: 0.000800
Training Epoch: 18 [9216/47500]	Loss: 0.2375	LR: 0.000800
Training Epoch: 18 [9472/47500]	Loss: 0.2450	LR: 0.000800
Training Epoch: 18 [9728/47500]	Loss: 0.2800	LR: 0.000800
Training Epoch: 18 [9984/47500]	Loss: 0.2842	LR: 0.000800
Training Epoch: 18 [10240/47500]	Loss: 0.3145	LR: 0.000800
Training Epoch: 18 [10496/47500]	Loss: 0.2356	LR: 0.000800
Training Epoch: 18 [10752/47500]	Loss: 0.2622	LR: 0.000800
Training Epoch: 18 [11008/47500]	Loss: 0.2576	LR: 0.000800
Training Epoch: 18 [11264/47500]	Loss: 0.3037	LR: 0.000800
Training Epoch: 18 [11520/47500]	Loss: 0.2952	LR: 0.000800
Training Epoch: 18 [11776/47500]	Loss: 0.3322	LR: 0.000800
Training Epoch: 18 [12032/47500]	Loss: 0.2552	LR: 0.000800
Training Epoch: 18 [12288/47500]	Loss: 0.2484	LR: 0.000800
Training Epoch: 18 [12544/47500]	Loss: 0.2555	LR: 0.000800
Training Epoch: 18 [12800/47500]	Loss: 0.2601	LR: 0.000800
Training Epoch: 18 [13056/47500]	Loss: 0.2556	LR: 0.000800
Training Epoch: 18 [13312/47500]	Loss: 0.2355	LR: 0.000800
Training Epoch: 18 [13568/47500]	Loss: 0.2801	LR: 0.000800
Training Epoch: 18 [13824/47500]	Loss: 0.2194	LR: 0.000800
Training Epoch: 18 [14080/47500]	Loss: 0.2580	LR: 0.000800
Training Epoch: 18 [14336/47500]	Loss: 0.2419	LR: 0.000800
Training Epoch: 18 [14592/47500]	Loss: 0.3154	LR: 0.000800
Training Epoch: 18 [14848/47500]	Loss: 0.3035	LR: 0.000800
Training Epoch: 18 [15104/47500]	Loss: 0.2726	LR: 0.000800
Training Epoch: 18 [15360/47500]	Loss: 0.3056	LR: 0.000800
Training Epoch: 18 [15616/47500]	Loss: 0.2063	LR: 0.000800
Training Epoch: 18 [15872/47500]	Loss: 0.2652	LR: 0.000800
Training Epoch: 18 [16128/47500]	Loss: 0.2487	LR: 0.000800
Training Epoch: 18 [16384/47500]	Loss: 0.2200	LR: 0.000800
Training Epoch: 18 [16640/47500]	Loss: 0.2757	LR: 0.000800
Training Epoch: 18 [16896/47500]	Loss: 0.2958	LR: 0.000800
Training Epoch: 18 [17152/47500]	Loss: 0.2376	LR: 0.000800
Training Epoch: 18 [17408/47500]	Loss: 0.3077	LR: 0.000800
Training Epoch: 18 [17664/47500]	Loss: 0.1845	LR: 0.000800
Training Epoch: 18 [17920/47500]	Loss: 0.2857	LR: 0.000800
Training Epoch: 18 [18176/47500]	Loss: 0.2694	LR: 0.000800
Training Epoch: 18 [18432/47500]	Loss: 0.2624	LR: 0.000800
Training Epoch: 18 [18688/47500]	Loss: 0.2887	LR: 0.000800
Training Epoch: 18 [18944/47500]	Loss: 0.2833	LR: 0.000800
Training Epoch: 18 [19200/47500]	Loss: 0.3414	LR: 0.000800
Training Epoch: 18 [19456/47500]	Loss: 0.2951	LR: 0.000800
Training Epoch: 18 [19712/47500]	Loss: 0.2286	LR: 0.000800
Training Epoch: 18 [19968/47500]	Loss: 0.2043	LR: 0.000800
Training Epoch: 18 [20224/47500]	Loss: 0.2872	LR: 0.000800
Training Epoch: 18 [20480/47500]	Loss: 0.2689	LR: 0.000800
Training Epoch: 18 [20736/47500]	Loss: 0.2769	LR: 0.000800
Training Epoch: 18 [20992/47500]	Loss: 0.2600	LR: 0.000800
Training Epoch: 18 [21248/47500]	Loss: 0.2519	LR: 0.000800
Training Epoch: 18 [21504/47500]	Loss: 0.2773	LR: 0.000800
Training Epoch: 18 [21760/47500]	Loss: 0.3061	LR: 0.000800
Training Epoch: 18 [22016/47500]	Loss: 0.3079	LR: 0.000800
Training Epoch: 18 [22272/47500]	Loss: 0.2666	LR: 0.000800
Training Epoch: 18 [22528/47500]	Loss: 0.2527	LR: 0.000800
Training Epoch: 18 [22784/47500]	Loss: 0.3266	LR: 0.000800
Training Epoch: 18 [23040/47500]	Loss: 0.2943	LR: 0.000800
Training Epoch: 18 [23296/47500]	Loss: 0.3610	LR: 0.000800
Training Epoch: 18 [23552/47500]	Loss: 0.2627	LR: 0.000800
Training Epoch: 18 [23808/47500]	Loss: 0.2115	LR: 0.000800
Training Epoch: 18 [24064/47500]	Loss: 0.2428	LR: 0.000800
Training Epoch: 18 [24320/47500]	Loss: 0.2558	LR: 0.000800
Training Epoch: 18 [24576/47500]	Loss: 0.3356	LR: 0.000800
Training Epoch: 18 [24832/47500]	Loss: 0.2367	LR: 0.000800
Training Epoch: 18 [25088/47500]	Loss: 0.2718	LR: 0.000800
Training Epoch: 18 [25344/47500]	Loss: 0.2508	LR: 0.000800
Training Epoch: 18 [25600/47500]	Loss: 0.2268	LR: 0.000800
Training Epoch: 18 [25856/47500]	Loss: 0.2280	LR: 0.000800
Training Epoch: 18 [26112/47500]	Loss: 0.2459	LR: 0.000800
Training Epoch: 18 [26368/47500]	Loss: 0.2265	LR: 0.000800
Training Epoch: 18 [26624/47500]	Loss: 0.3054	LR: 0.000800
Training Epoch: 18 [26880/47500]	Loss: 0.2538	LR: 0.000800
Training Epoch: 18 [27136/47500]	Loss: 0.2629	LR: 0.000800
Training Epoch: 18 [27392/47500]	Loss: 0.2908	LR: 0.000800
Training Epoch: 18 [27648/47500]	Loss: 0.2199	LR: 0.000800
Training Epoch: 18 [27904/47500]	Loss: 0.3665	LR: 0.000800
Training Epoch: 18 [28160/47500]	Loss: 0.3195	LR: 0.000800
Training Epoch: 18 [28416/47500]	Loss: 0.2751	LR: 0.000800
Training Epoch: 18 [28672/47500]	Loss: 0.2986	LR: 0.000800
Training Epoch: 18 [28928/47500]	Loss: 0.3089	LR: 0.000800
Training Epoch: 18 [29184/47500]	Loss: 0.2016	LR: 0.000800
Training Epoch: 18 [29440/47500]	Loss: 0.2450	LR: 0.000800
Training Epoch: 18 [29696/47500]	Loss: 0.2889	LR: 0.000800
Training Epoch: 18 [29952/47500]	Loss: 0.2852	LR: 0.000800
Training Epoch: 18 [30208/47500]	Loss: 0.2565	LR: 0.000800
Training Epoch: 18 [30464/47500]	Loss: 0.2807	LR: 0.000800
Training Epoch: 18 [30720/47500]	Loss: 0.2559	LR: 0.000800
Training Epoch: 18 [30976/47500]	Loss: 0.2898	LR: 0.000800
Training Epoch: 18 [31232/47500]	Loss: 0.2061	LR: 0.000800
Training Epoch: 18 [31488/47500]	Loss: 0.3215	LR: 0.000800
Training Epoch: 18 [31744/47500]	Loss: 0.2764	LR: 0.000800
Training Epoch: 18 [32000/47500]	Loss: 0.2818	LR: 0.000800
Training Epoch: 18 [32256/47500]	Loss: 0.2934	LR: 0.000800
Training Epoch: 18 [32512/47500]	Loss: 0.2523	LR: 0.000800
Training Epoch: 18 [32768/47500]	Loss: 0.2482	LR: 0.000800
Training Epoch: 18 [33024/47500]	Loss: 0.2471	LR: 0.000800
Training Epoch: 18 [33280/47500]	Loss: 0.2925	LR: 0.000800
Training Epoch: 18 [33536/47500]	Loss: 0.2633	LR: 0.000800
Training Epoch: 18 [33792/47500]	Loss: 0.2070	LR: 0.000800
Training Epoch: 18 [34048/47500]	Loss: 0.2890	LR: 0.000800
Training Epoch: 18 [34304/47500]	Loss: 0.2836	LR: 0.000800
Training Epoch: 18 [34560/47500]	Loss: 0.3384	LR: 0.000800
Training Epoch: 18 [34816/47500]	Loss: 0.2022	LR: 0.000800
Training Epoch: 18 [35072/47500]	Loss: 0.3309	LR: 0.000800
Training Epoch: 18 [35328/47500]	Loss: 0.2810	LR: 0.000800
Training Epoch: 18 [35584/47500]	Loss: 0.2739	LR: 0.000800
Training Epoch: 18 [35840/47500]	Loss: 0.2686	LR: 0.000800
Training Epoch: 18 [36096/47500]	Loss: 0.2835	LR: 0.000800
Training Epoch: 18 [36352/47500]	Loss: 0.2770	LR: 0.000800
Training Epoch: 18 [36608/47500]	Loss: 0.1972	LR: 0.000800
Training Epoch: 18 [36864/47500]	Loss: 0.3104	LR: 0.000800
Training Epoch: 18 [37120/47500]	Loss: 0.3414	LR: 0.000800
Training Epoch: 18 [37376/47500]	Loss: 0.2169	LR: 0.000800
Training Epoch: 18 [37632/47500]	Loss: 0.3054	LR: 0.000800
Training Epoch: 18 [37888/47500]	Loss: 0.3390	LR: 0.000800
Training Epoch: 18 [38144/47500]	Loss: 0.2744	LR: 0.000800
Training Epoch: 18 [38400/47500]	Loss: 0.2520	LR: 0.000800
Training Epoch: 18 [38656/47500]	Loss: 0.2826	LR: 0.000800
Training Epoch: 18 [38912/47500]	Loss: 0.2711	LR: 0.000800
Training Epoch: 18 [39168/47500]	Loss: 0.3183	LR: 0.000800
Training Epoch: 18 [39424/47500]	Loss: 0.2843	LR: 0.000800
Training Epoch: 18 [39680/47500]	Loss: 0.2783	LR: 0.000800
Training Epoch: 18 [39936/47500]	Loss: 0.2489	LR: 0.000800
Training Epoch: 18 [40192/47500]	Loss: 0.2981	LR: 0.000800
Training Epoch: 18 [40448/47500]	Loss: 0.3251	LR: 0.000800
Training Epoch: 18 [40704/47500]	Loss: 0.2368	LR: 0.000800
Training Epoch: 18 [40960/47500]	Loss: 0.3246	LR: 0.000800
Training Epoch: 18 [41216/47500]	Loss: 0.2669	LR: 0.000800
Training Epoch: 18 [41472/47500]	Loss: 0.2553	LR: 0.000800
Training Epoch: 18 [41728/47500]	Loss: 0.2372	LR: 0.000800
Training Epoch: 18 [41984/47500]	Loss: 0.2702	LR: 0.000800
Training Epoch: 18 [42240/47500]	Loss: 0.2410	LR: 0.000800
Training Epoch: 18 [42496/47500]	Loss: 0.2552	LR: 0.000800
Training Epoch: 18 [42752/47500]	Loss: 0.2980	LR: 0.000800
Training Epoch: 18 [43008/47500]	Loss: 0.3276	LR: 0.000800
Training Epoch: 18 [43264/47500]	Loss: 0.2432	LR: 0.000800
Training Epoch: 18 [43520/47500]	Loss: 0.2321	LR: 0.000800
Training Epoch: 18 [43776/47500]	Loss: 0.2417	LR: 0.000800
Training Epoch: 18 [44032/47500]	Loss: 0.3087	LR: 0.000800
Training Epoch: 18 [44288/47500]	Loss: 0.2926	LR: 0.000800
Training Epoch: 18 [44544/47500]	Loss: 0.2704	LR: 0.000800
Training Epoch: 18 [44800/47500]	Loss: 0.2659	LR: 0.000800
Training Epoch: 18 [45056/47500]	Loss: 0.2641	LR: 0.000800
Training Epoch: 18 [45312/47500]	Loss: 0.3509	LR: 0.000800
Training Epoch: 18 [45568/47500]	Loss: 0.2000	LR: 0.000800
Training Epoch: 18 [45824/47500]	Loss: 0.2773	LR: 0.000800
Training Epoch: 18 [46080/47500]	Loss: 0.3000	LR: 0.000800
Training Epoch: 18 [46336/47500]	Loss: 0.2788	LR: 0.000800
Training Epoch: 18 [46592/47500]	Loss: 0.2816	LR: 0.000800
Training Epoch: 18 [46848/47500]	Loss: 0.2892	LR: 0.000800
Training Epoch: 18 [47104/47500]	Loss: 0.2417	LR: 0.000800
Training Epoch: 18 [47360/47500]	Loss: 0.2502	LR: 0.000800
Training Epoch: 18 [47500/47500]	Loss: 0.2536	LR: 0.000800
Epoch 18 - Average Train Loss: 0.2705, Train Accuracy: 0.9059
Epoch 18 training time consumed: 28.55s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0013, Accuracy: 0.8925, Time consumed:0.92s
Training Epoch: 19 [256/47500]	Loss: 0.2757	LR: 0.000800
Training Epoch: 19 [512/47500]	Loss: 0.3276	LR: 0.000800
Training Epoch: 19 [768/47500]	Loss: 0.2613	LR: 0.000800
Training Epoch: 19 [1024/47500]	Loss: 0.3157	LR: 0.000800
Training Epoch: 19 [1280/47500]	Loss: 0.3206	LR: 0.000800
Training Epoch: 19 [1536/47500]	Loss: 0.3253	LR: 0.000800
Training Epoch: 19 [1792/47500]	Loss: 0.3231	LR: 0.000800
Training Epoch: 19 [2048/47500]	Loss: 0.2607	LR: 0.000800
Training Epoch: 19 [2304/47500]	Loss: 0.2764	LR: 0.000800
Training Epoch: 19 [2560/47500]	Loss: 0.2635	LR: 0.000800
Training Epoch: 19 [2816/47500]	Loss: 0.2312	LR: 0.000800
Training Epoch: 19 [3072/47500]	Loss: 0.2372	LR: 0.000800
Training Epoch: 19 [3328/47500]	Loss: 0.2207	LR: 0.000800
Training Epoch: 19 [3584/47500]	Loss: 0.3814	LR: 0.000800
Training Epoch: 19 [3840/47500]	Loss: 0.2253	LR: 0.000800
Training Epoch: 19 [4096/47500]	Loss: 0.2292	LR: 0.000800
Training Epoch: 19 [4352/47500]	Loss: 0.3039	LR: 0.000800
Training Epoch: 19 [4608/47500]	Loss: 0.2486	LR: 0.000800
Training Epoch: 19 [4864/47500]	Loss: 0.2332	LR: 0.000800
Training Epoch: 19 [5120/47500]	Loss: 0.3022	LR: 0.000800
Training Epoch: 19 [5376/47500]	Loss: 0.2725	LR: 0.000800
Training Epoch: 19 [5632/47500]	Loss: 0.3215	LR: 0.000800
Training Epoch: 19 [5888/47500]	Loss: 0.3145	LR: 0.000800
Training Epoch: 19 [6144/47500]	Loss: 0.2570	LR: 0.000800
Training Epoch: 19 [6400/47500]	Loss: 0.2502	LR: 0.000800
Training Epoch: 19 [6656/47500]	Loss: 0.2376	LR: 0.000800
Training Epoch: 19 [6912/47500]	Loss: 0.2733	LR: 0.000800
Training Epoch: 19 [7168/47500]	Loss: 0.2611	LR: 0.000800
Training Epoch: 19 [7424/47500]	Loss: 0.2389	LR: 0.000800
Training Epoch: 19 [7680/47500]	Loss: 0.2105	LR: 0.000800
Training Epoch: 19 [7936/47500]	Loss: 0.2630	LR: 0.000800
Training Epoch: 19 [8192/47500]	Loss: 0.2237	LR: 0.000800
Training Epoch: 19 [8448/47500]	Loss: 0.2379	LR: 0.000800
Training Epoch: 19 [8704/47500]	Loss: 0.2037	LR: 0.000800
Training Epoch: 19 [8960/47500]	Loss: 0.3104	LR: 0.000800
Training Epoch: 19 [9216/47500]	Loss: 0.3453	LR: 0.000800
Training Epoch: 19 [9472/47500]	Loss: 0.3113	LR: 0.000800
Training Epoch: 19 [9728/47500]	Loss: 0.2037	LR: 0.000800
Training Epoch: 19 [9984/47500]	Loss: 0.2492	LR: 0.000800
Training Epoch: 19 [10240/47500]	Loss: 0.2517	LR: 0.000800
Training Epoch: 19 [10496/47500]	Loss: 0.2681	LR: 0.000800
Training Epoch: 19 [10752/47500]	Loss: 0.2881	LR: 0.000800
Training Epoch: 19 [11008/47500]	Loss: 0.2242	LR: 0.000800
Training Epoch: 19 [11264/47500]	Loss: 0.2418	LR: 0.000800
Training Epoch: 19 [11520/47500]	Loss: 0.2932	LR: 0.000800
Training Epoch: 19 [11776/47500]	Loss: 0.2752	LR: 0.000800
Training Epoch: 19 [12032/47500]	Loss: 0.3818	LR: 0.000800
Training Epoch: 19 [12288/47500]	Loss: 0.2038	LR: 0.000800
Training Epoch: 19 [12544/47500]	Loss: 0.3120	LR: 0.000800
Training Epoch: 19 [12800/47500]	Loss: 0.2604	LR: 0.000800
Training Epoch: 19 [13056/47500]	Loss: 0.2995	LR: 0.000800
Training Epoch: 19 [13312/47500]	Loss: 0.2918	LR: 0.000800
Training Epoch: 19 [13568/47500]	Loss: 0.2729	LR: 0.000800
Training Epoch: 19 [13824/47500]	Loss: 0.2201	LR: 0.000800
Training Epoch: 19 [14080/47500]	Loss: 0.2132	LR: 0.000800
Training Epoch: 19 [14336/47500]	Loss: 0.2819	LR: 0.000800
Training Epoch: 19 [14592/47500]	Loss: 0.3145	LR: 0.000800
Training Epoch: 19 [14848/47500]	Loss: 0.2940	LR: 0.000800
Training Epoch: 19 [15104/47500]	Loss: 0.3224	LR: 0.000800
Training Epoch: 19 [15360/47500]	Loss: 0.2488	LR: 0.000800
Training Epoch: 19 [15616/47500]	Loss: 0.2568	LR: 0.000800
Training Epoch: 19 [15872/47500]	Loss: 0.3622	LR: 0.000800
Training Epoch: 19 [16128/47500]	Loss: 0.2783	LR: 0.000800
Training Epoch: 19 [16384/47500]	Loss: 0.2467	LR: 0.000800
Training Epoch: 19 [16640/47500]	Loss: 0.3348	LR: 0.000800
Training Epoch: 19 [16896/47500]	Loss: 0.2702	LR: 0.000800
Training Epoch: 19 [17152/47500]	Loss: 0.2991	LR: 0.000800
Training Epoch: 19 [17408/47500]	Loss: 0.2764	LR: 0.000800
Training Epoch: 19 [17664/47500]	Loss: 0.3212	LR: 0.000800
Training Epoch: 19 [17920/47500]	Loss: 0.2528	LR: 0.000800
Training Epoch: 19 [18176/47500]	Loss: 0.1991	LR: 0.000800
Training Epoch: 19 [18432/47500]	Loss: 0.3272	LR: 0.000800
Training Epoch: 19 [18688/47500]	Loss: 0.2731	LR: 0.000800
Training Epoch: 19 [18944/47500]	Loss: 0.2505	LR: 0.000800
Training Epoch: 19 [19200/47500]	Loss: 0.2357	LR: 0.000800
Training Epoch: 19 [19456/47500]	Loss: 0.3319	LR: 0.000800
Training Epoch: 19 [19712/47500]	Loss: 0.2226	LR: 0.000800
Training Epoch: 19 [19968/47500]	Loss: 0.3323	LR: 0.000800
Training Epoch: 19 [20224/47500]	Loss: 0.2435	LR: 0.000800
Training Epoch: 19 [20480/47500]	Loss: 0.3612	LR: 0.000800
Training Epoch: 19 [20736/47500]	Loss: 0.2540	LR: 0.000800
Training Epoch: 19 [20992/47500]	Loss: 0.2785	LR: 0.000800
Training Epoch: 19 [21248/47500]	Loss: 0.2707	LR: 0.000800
Training Epoch: 19 [21504/47500]	Loss: 0.3410	LR: 0.000800
Training Epoch: 19 [21760/47500]	Loss: 0.2350	LR: 0.000800
Training Epoch: 19 [22016/47500]	Loss: 0.2622	LR: 0.000800
Training Epoch: 19 [22272/47500]	Loss: 0.2510	LR: 0.000800
Training Epoch: 19 [22528/47500]	Loss: 0.3408	LR: 0.000800
Training Epoch: 19 [22784/47500]	Loss: 0.2285	LR: 0.000800
Training Epoch: 19 [23040/47500]	Loss: 0.2160	LR: 0.000800
Training Epoch: 19 [23296/47500]	Loss: 0.2743	LR: 0.000800
Training Epoch: 19 [23552/47500]	Loss: 0.2228	LR: 0.000800
Training Epoch: 19 [23808/47500]	Loss: 0.2406	LR: 0.000800
Training Epoch: 19 [24064/47500]	Loss: 0.2318	LR: 0.000800
Training Epoch: 19 [24320/47500]	Loss: 0.2407	LR: 0.000800
Training Epoch: 19 [24576/47500]	Loss: 0.2456	LR: 0.000800
Training Epoch: 19 [24832/47500]	Loss: 0.2935	LR: 0.000800
Training Epoch: 19 [25088/47500]	Loss: 0.2578	LR: 0.000800
Training Epoch: 19 [25344/47500]	Loss: 0.2869	LR: 0.000800
Training Epoch: 19 [25600/47500]	Loss: 0.1854	LR: 0.000800
Training Epoch: 19 [25856/47500]	Loss: 0.2005	LR: 0.000800
Training Epoch: 19 [26112/47500]	Loss: 0.2426	LR: 0.000800
Training Epoch: 19 [26368/47500]	Loss: 0.2359	LR: 0.000800
Training Epoch: 19 [26624/47500]	Loss: 0.2502	LR: 0.000800
Training Epoch: 19 [26880/47500]	Loss: 0.3134	LR: 0.000800
Training Epoch: 19 [27136/47500]	Loss: 0.2670	LR: 0.000800
Training Epoch: 19 [27392/47500]	Loss: 0.2200	LR: 0.000800
Training Epoch: 19 [27648/47500]	Loss: 0.3289	LR: 0.000800
Training Epoch: 19 [27904/47500]	Loss: 0.2236	LR: 0.000800
Training Epoch: 19 [28160/47500]	Loss: 0.2939	LR: 0.000800
Training Epoch: 19 [28416/47500]	Loss: 0.2445	LR: 0.000800
Training Epoch: 19 [28672/47500]	Loss: 0.2729	LR: 0.000800
Training Epoch: 19 [28928/47500]	Loss: 0.3154	LR: 0.000800
Training Epoch: 19 [29184/47500]	Loss: 0.2245	LR: 0.000800
Training Epoch: 19 [29440/47500]	Loss: 0.2454	LR: 0.000800
Training Epoch: 19 [29696/47500]	Loss: 0.2165	LR: 0.000800
Training Epoch: 19 [29952/47500]	Loss: 0.2479	LR: 0.000800
Training Epoch: 19 [30208/47500]	Loss: 0.2472	LR: 0.000800
Training Epoch: 19 [30464/47500]	Loss: 0.2645	LR: 0.000800
Training Epoch: 19 [30720/47500]	Loss: 0.2214	LR: 0.000800
Training Epoch: 19 [30976/47500]	Loss: 0.2072	LR: 0.000800
Training Epoch: 19 [31232/47500]	Loss: 0.2453	LR: 0.000800
Training Epoch: 19 [31488/47500]	Loss: 0.3113	LR: 0.000800
Training Epoch: 19 [31744/47500]	Loss: 0.2430	LR: 0.000800
Training Epoch: 19 [32000/47500]	Loss: 0.2492	LR: 0.000800
Training Epoch: 19 [32256/47500]	Loss: 0.2620	LR: 0.000800
Training Epoch: 19 [32512/47500]	Loss: 0.3465	LR: 0.000800
Training Epoch: 19 [32768/47500]	Loss: 0.2315	LR: 0.000800
Training Epoch: 19 [33024/47500]	Loss: 0.2570	LR: 0.000800
Training Epoch: 19 [33280/47500]	Loss: 0.2030	LR: 0.000800
Training Epoch: 19 [33536/47500]	Loss: 0.2926	LR: 0.000800
Training Epoch: 19 [33792/47500]	Loss: 0.2525	LR: 0.000800
Training Epoch: 19 [34048/47500]	Loss: 0.2259	LR: 0.000800
Training Epoch: 19 [34304/47500]	Loss: 0.2749	LR: 0.000800
Training Epoch: 19 [34560/47500]	Loss: 0.2108	LR: 0.000800
Training Epoch: 19 [34816/47500]	Loss: 0.2774	LR: 0.000800
Training Epoch: 19 [35072/47500]	Loss: 0.2838	LR: 0.000800
Training Epoch: 19 [35328/47500]	Loss: 0.1982	LR: 0.000800
Training Epoch: 19 [35584/47500]	Loss: 0.3368	LR: 0.000800
Training Epoch: 19 [35840/47500]	Loss: 0.2929	LR: 0.000800
Training Epoch: 19 [36096/47500]	Loss: 0.2831	LR: 0.000800
Training Epoch: 19 [36352/47500]	Loss: 0.3402	LR: 0.000800
Training Epoch: 19 [36608/47500]	Loss: 0.2511	LR: 0.000800
Training Epoch: 19 [36864/47500]	Loss: 0.3258	LR: 0.000800
Training Epoch: 19 [37120/47500]	Loss: 0.2847	LR: 0.000800
Training Epoch: 19 [37376/47500]	Loss: 0.2456	LR: 0.000800
Training Epoch: 19 [37632/47500]	Loss: 0.3669	LR: 0.000800
Training Epoch: 19 [37888/47500]	Loss: 0.2980	LR: 0.000800
Training Epoch: 19 [38144/47500]	Loss: 0.3684	LR: 0.000800
Training Epoch: 19 [38400/47500]	Loss: 0.3044	LR: 0.000800
Training Epoch: 19 [38656/47500]	Loss: 0.2749	LR: 0.000800
Training Epoch: 19 [38912/47500]	Loss: 0.2897	LR: 0.000800
Training Epoch: 19 [39168/47500]	Loss: 0.2308	LR: 0.000800
Training Epoch: 19 [39424/47500]	Loss: 0.3238	LR: 0.000800
Training Epoch: 19 [39680/47500]	Loss: 0.2268	LR: 0.000800
Training Epoch: 19 [39936/47500]	Loss: 0.2084	LR: 0.000800
Training Epoch: 19 [40192/47500]	Loss: 0.2226	LR: 0.000800
Training Epoch: 19 [40448/47500]	Loss: 0.2184	LR: 0.000800
Training Epoch: 19 [40704/47500]	Loss: 0.3805	LR: 0.000800
Training Epoch: 19 [40960/47500]	Loss: 0.2563	LR: 0.000800
Training Epoch: 19 [41216/47500]	Loss: 0.2807	LR: 0.000800
Training Epoch: 19 [41472/47500]	Loss: 0.2062	LR: 0.000800
Training Epoch: 19 [41728/47500]	Loss: 0.3015	LR: 0.000800
Training Epoch: 19 [41984/47500]	Loss: 0.2553	LR: 0.000800
Training Epoch: 19 [42240/47500]	Loss: 0.3009	LR: 0.000800
Training Epoch: 19 [42496/47500]	Loss: 0.2591	LR: 0.000800
Training Epoch: 19 [42752/47500]	Loss: 0.2942	LR: 0.000800
Training Epoch: 19 [43008/47500]	Loss: 0.3486	LR: 0.000800
Training Epoch: 19 [43264/47500]	Loss: 0.2867	LR: 0.000800
Training Epoch: 19 [43520/47500]	Loss: 0.2629	LR: 0.000800
Training Epoch: 19 [43776/47500]	Loss: 0.3447	LR: 0.000800
Training Epoch: 19 [44032/47500]	Loss: 0.2551	LR: 0.000800
Training Epoch: 19 [44288/47500]	Loss: 0.2714	LR: 0.000800
Training Epoch: 19 [44544/47500]	Loss: 0.2842	LR: 0.000800
Training Epoch: 19 [44800/47500]	Loss: 0.2264	LR: 0.000800
Training Epoch: 19 [45056/47500]	Loss: 0.2497	LR: 0.000800
Training Epoch: 19 [45312/47500]	Loss: 0.3368	LR: 0.000800
Training Epoch: 19 [45568/47500]	Loss: 0.2396	LR: 0.000800
Training Epoch: 19 [45824/47500]	Loss: 0.2778	LR: 0.000800
Training Epoch: 19 [46080/47500]	Loss: 0.2713	LR: 0.000800
Training Epoch: 19 [46336/47500]	Loss: 0.2464	LR: 0.000800
Training Epoch: 19 [46592/47500]	Loss: 0.3174	LR: 0.000800
Training Epoch: 19 [46848/47500]	Loss: 0.2559	LR: 0.000800
Training Epoch: 19 [47104/47500]	Loss: 0.2939	LR: 0.000800
Training Epoch: 19 [47360/47500]	Loss: 0.3174	LR: 0.000800
Training Epoch: 19 [47500/47500]	Loss: 0.1867	LR: 0.000800
Epoch 19 - Average Train Loss: 0.2706, Train Accuracy: 0.9057
Epoch 19 training time consumed: 28.77s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0013, Accuracy: 0.8929, Time consumed:1.01s
Training Epoch: 20 [256/47500]	Loss: 0.2834	LR: 0.000800
Training Epoch: 20 [512/47500]	Loss: 0.2765	LR: 0.000800
Training Epoch: 20 [768/47500]	Loss: 0.3185	LR: 0.000800
Training Epoch: 20 [1024/47500]	Loss: 0.2793	LR: 0.000800
Training Epoch: 20 [1280/47500]	Loss: 0.2394	LR: 0.000800
Training Epoch: 20 [1536/47500]	Loss: 0.2812	LR: 0.000800
Training Epoch: 20 [1792/47500]	Loss: 0.2543	LR: 0.000800
Training Epoch: 20 [2048/47500]	Loss: 0.2710	LR: 0.000800
Training Epoch: 20 [2304/47500]	Loss: 0.3062	LR: 0.000800
Training Epoch: 20 [2560/47500]	Loss: 0.2667	LR: 0.000800
Training Epoch: 20 [2816/47500]	Loss: 0.3468	LR: 0.000800
Training Epoch: 20 [3072/47500]	Loss: 0.2405	LR: 0.000800
Training Epoch: 20 [3328/47500]	Loss: 0.2795	LR: 0.000800
Training Epoch: 20 [3584/47500]	Loss: 0.2454	LR: 0.000800
Training Epoch: 20 [3840/47500]	Loss: 0.2792	LR: 0.000800
Training Epoch: 20 [4096/47500]	Loss: 0.2254	LR: 0.000800
Training Epoch: 20 [4352/47500]	Loss: 0.2593	LR: 0.000800
Training Epoch: 20 [4608/47500]	Loss: 0.2736	LR: 0.000800
Training Epoch: 20 [4864/47500]	Loss: 0.3391	LR: 0.000800
Training Epoch: 20 [5120/47500]	Loss: 0.3061	LR: 0.000800
Training Epoch: 20 [5376/47500]	Loss: 0.2550	LR: 0.000800
Training Epoch: 20 [5632/47500]	Loss: 0.2929	LR: 0.000800
Training Epoch: 20 [5888/47500]	Loss: 0.3097	LR: 0.000800
Training Epoch: 20 [6144/47500]	Loss: 0.2394	LR: 0.000800
Training Epoch: 20 [6400/47500]	Loss: 0.2333	LR: 0.000800
Training Epoch: 20 [6656/47500]	Loss: 0.2210	LR: 0.000800
Training Epoch: 20 [6912/47500]	Loss: 0.2272	LR: 0.000800
Training Epoch: 20 [7168/47500]	Loss: 0.2745	LR: 0.000800
Training Epoch: 20 [7424/47500]	Loss: 0.2683	LR: 0.000800
Training Epoch: 20 [7680/47500]	Loss: 0.2544	LR: 0.000800
Training Epoch: 20 [7936/47500]	Loss: 0.2436	LR: 0.000800
Training Epoch: 20 [8192/47500]	Loss: 0.2721	LR: 0.000800
Training Epoch: 20 [8448/47500]	Loss: 0.3004	LR: 0.000800
Training Epoch: 20 [8704/47500]	Loss: 0.2072	LR: 0.000800
Training Epoch: 20 [8960/47500]	Loss: 0.2938	LR: 0.000800
Training Epoch: 20 [9216/47500]	Loss: 0.2727	LR: 0.000800
Training Epoch: 20 [9472/47500]	Loss: 0.2536	LR: 0.000800
Training Epoch: 20 [9728/47500]	Loss: 0.2744	LR: 0.000800
Training Epoch: 20 [9984/47500]	Loss: 0.2790	LR: 0.000800
Training Epoch: 20 [10240/47500]	Loss: 0.3875	LR: 0.000800
Training Epoch: 20 [10496/47500]	Loss: 0.2639	LR: 0.000800
Training Epoch: 20 [10752/47500]	Loss: 0.3567	LR: 0.000800
Training Epoch: 20 [11008/47500]	Loss: 0.3090	LR: 0.000800
Training Epoch: 20 [11264/47500]	Loss: 0.2969	LR: 0.000800
Training Epoch: 20 [11520/47500]	Loss: 0.3374	LR: 0.000800
Training Epoch: 20 [11776/47500]	Loss: 0.3073	LR: 0.000800
Training Epoch: 20 [12032/47500]	Loss: 0.2253	LR: 0.000800
Training Epoch: 20 [12288/47500]	Loss: 0.2440	LR: 0.000800
Training Epoch: 20 [12544/47500]	Loss: 0.2747	LR: 0.000800
Training Epoch: 20 [12800/47500]	Loss: 0.2184	LR: 0.000800
Training Epoch: 20 [13056/47500]	Loss: 0.1840	LR: 0.000800
Training Epoch: 20 [13312/47500]	Loss: 0.2584	LR: 0.000800
Training Epoch: 20 [13568/47500]	Loss: 0.3046	LR: 0.000800
Training Epoch: 20 [13824/47500]	Loss: 0.2789	LR: 0.000800
Training Epoch: 20 [14080/47500]	Loss: 0.3111	LR: 0.000800
Training Epoch: 20 [14336/47500]	Loss: 0.2479	LR: 0.000800
Training Epoch: 20 [14592/47500]	Loss: 0.2601	LR: 0.000800
Training Epoch: 20 [14848/47500]	Loss: 0.3058	LR: 0.000800
Training Epoch: 20 [15104/47500]	Loss: 0.2821	LR: 0.000800
Training Epoch: 20 [15360/47500]	Loss: 0.2035	LR: 0.000800
Training Epoch: 20 [15616/47500]	Loss: 0.2542	LR: 0.000800
Training Epoch: 20 [15872/47500]	Loss: 0.2721	LR: 0.000800
Training Epoch: 20 [16128/47500]	Loss: 0.2946	LR: 0.000800
Training Epoch: 20 [16384/47500]	Loss: 0.2664	LR: 0.000800
Training Epoch: 20 [16640/47500]	Loss: 0.1730	LR: 0.000800
Training Epoch: 20 [16896/47500]	Loss: 0.3107	LR: 0.000800
Training Epoch: 20 [17152/47500]	Loss: 0.2370	LR: 0.000800
Training Epoch: 20 [17408/47500]	Loss: 0.2539	LR: 0.000800
Training Epoch: 20 [17664/47500]	Loss: 0.2723	LR: 0.000800
Training Epoch: 20 [17920/47500]	Loss: 0.2939	LR: 0.000800
Training Epoch: 20 [18176/47500]	Loss: 0.2041	LR: 0.000800
Training Epoch: 20 [18432/47500]	Loss: 0.2385	LR: 0.000800
Training Epoch: 20 [18688/47500]	Loss: 0.2486	LR: 0.000800
Training Epoch: 20 [18944/47500]	Loss: 0.2493	LR: 0.000800
Training Epoch: 20 [19200/47500]	Loss: 0.2561	LR: 0.000800
Training Epoch: 20 [19456/47500]	Loss: 0.2939	LR: 0.000800
Training Epoch: 20 [19712/47500]	Loss: 0.2825	LR: 0.000800
Training Epoch: 20 [19968/47500]	Loss: 0.2582	LR: 0.000800
Training Epoch: 20 [20224/47500]	Loss: 0.2252	LR: 0.000800
Training Epoch: 20 [20480/47500]	Loss: 0.2417	LR: 0.000800
Training Epoch: 20 [20736/47500]	Loss: 0.2339	LR: 0.000800
Training Epoch: 20 [20992/47500]	Loss: 0.3234	LR: 0.000800
Training Epoch: 20 [21248/47500]	Loss: 0.2620	LR: 0.000800
Training Epoch: 20 [21504/47500]	Loss: 0.2005	LR: 0.000800
Training Epoch: 20 [21760/47500]	Loss: 0.2943	LR: 0.000800
Training Epoch: 20 [22016/47500]	Loss: 0.3073	LR: 0.000800
Training Epoch: 20 [22272/47500]	Loss: 0.2540	LR: 0.000800
Training Epoch: 20 [22528/47500]	Loss: 0.2350	LR: 0.000800
Training Epoch: 20 [22784/47500]	Loss: 0.3191	LR: 0.000800
Training Epoch: 20 [23040/47500]	Loss: 0.2976	LR: 0.000800
Training Epoch: 20 [23296/47500]	Loss: 0.2464	LR: 0.000800
Training Epoch: 20 [23552/47500]	Loss: 0.2404	LR: 0.000800
Training Epoch: 20 [23808/47500]	Loss: 0.2873	LR: 0.000800
Training Epoch: 20 [24064/47500]	Loss: 0.2007	LR: 0.000800
Training Epoch: 20 [24320/47500]	Loss: 0.2699	LR: 0.000800
Training Epoch: 20 [24576/47500]	Loss: 0.2876	LR: 0.000800
Training Epoch: 20 [24832/47500]	Loss: 0.2345	LR: 0.000800
Training Epoch: 20 [25088/47500]	Loss: 0.2944	LR: 0.000800
Training Epoch: 20 [25344/47500]	Loss: 0.2538	LR: 0.000800
Training Epoch: 20 [25600/47500]	Loss: 0.2357	LR: 0.000800
Training Epoch: 20 [25856/47500]	Loss: 0.2249	LR: 0.000800
Training Epoch: 20 [26112/47500]	Loss: 0.2799	LR: 0.000800
Training Epoch: 20 [26368/47500]	Loss: 0.2426	LR: 0.000800
Training Epoch: 20 [26624/47500]	Loss: 0.2324	LR: 0.000800
Training Epoch: 20 [26880/47500]	Loss: 0.2529	LR: 0.000800
Training Epoch: 20 [27136/47500]	Loss: 0.3755	LR: 0.000800
Training Epoch: 20 [27392/47500]	Loss: 0.2545	LR: 0.000800
Training Epoch: 20 [27648/47500]	Loss: 0.2865	LR: 0.000800
Training Epoch: 20 [27904/47500]	Loss: 0.2615	LR: 0.000800
Training Epoch: 20 [28160/47500]	Loss: 0.2828	LR: 0.000800
Training Epoch: 20 [28416/47500]	Loss: 0.2332	LR: 0.000800
Training Epoch: 20 [28672/47500]	Loss: 0.2502	LR: 0.000800
Training Epoch: 20 [28928/47500]	Loss: 0.2708	LR: 0.000800
Training Epoch: 20 [29184/47500]	Loss: 0.3356	LR: 0.000800
Training Epoch: 20 [29440/47500]	Loss: 0.2050	LR: 0.000800
Training Epoch: 20 [29696/47500]	Loss: 0.2831	LR: 0.000800
Training Epoch: 20 [29952/47500]	Loss: 0.2537	LR: 0.000800
Training Epoch: 20 [30208/47500]	Loss: 0.3029	LR: 0.000800
Training Epoch: 20 [30464/47500]	Loss: 0.2573	LR: 0.000800
Training Epoch: 20 [30720/47500]	Loss: 0.3294	LR: 0.000800
Training Epoch: 20 [30976/47500]	Loss: 0.2824	LR: 0.000800
Training Epoch: 20 [31232/47500]	Loss: 0.2777	LR: 0.000800
Training Epoch: 20 [31488/47500]	Loss: 0.2186	LR: 0.000800
Training Epoch: 20 [31744/47500]	Loss: 0.2376	LR: 0.000800
Training Epoch: 20 [32000/47500]	Loss: 0.2895	LR: 0.000800
Training Epoch: 20 [32256/47500]	Loss: 0.2868	LR: 0.000800
Training Epoch: 20 [32512/47500]	Loss: 0.3169	LR: 0.000800
Training Epoch: 20 [32768/47500]	Loss: 0.2551	LR: 0.000800
Training Epoch: 20 [33024/47500]	Loss: 0.2801	LR: 0.000800
Training Epoch: 20 [33280/47500]	Loss: 0.3017	LR: 0.000800
Training Epoch: 20 [33536/47500]	Loss: 0.3030	LR: 0.000800
Training Epoch: 20 [33792/47500]	Loss: 0.2635	LR: 0.000800
Training Epoch: 20 [34048/47500]	Loss: 0.3177	LR: 0.000800
Training Epoch: 20 [34304/47500]	Loss: 0.2852	LR: 0.000800
Training Epoch: 20 [34560/47500]	Loss: 0.2063	LR: 0.000800
Training Epoch: 20 [34816/47500]	Loss: 0.2584	LR: 0.000800
Training Epoch: 20 [35072/47500]	Loss: 0.2086	LR: 0.000800
Training Epoch: 20 [35328/47500]	Loss: 0.2410	LR: 0.000800
Training Epoch: 20 [35584/47500]	Loss: 0.2954	LR: 0.000800
Training Epoch: 20 [35840/47500]	Loss: 0.3226	LR: 0.000800
Training Epoch: 20 [36096/47500]	Loss: 0.3659	LR: 0.000800
Training Epoch: 20 [36352/47500]	Loss: 0.2741	LR: 0.000800
Training Epoch: 20 [36608/47500]	Loss: 0.2147	LR: 0.000800
Training Epoch: 20 [36864/47500]	Loss: 0.2896	LR: 0.000800
Training Epoch: 20 [37120/47500]	Loss: 0.3363	LR: 0.000800
Training Epoch: 20 [37376/47500]	Loss: 0.3140	LR: 0.000800
Training Epoch: 20 [37632/47500]	Loss: 0.2109	LR: 0.000800
Training Epoch: 20 [37888/47500]	Loss: 0.2524	LR: 0.000800
Training Epoch: 20 [38144/47500]	Loss: 0.3232	LR: 0.000800
Training Epoch: 20 [38400/47500]	Loss: 0.3559	LR: 0.000800
Training Epoch: 20 [38656/47500]	Loss: 0.3241	LR: 0.000800
Training Epoch: 20 [38912/47500]	Loss: 0.2206	LR: 0.000800
Training Epoch: 20 [39168/47500]	Loss: 0.2629	LR: 0.000800
Training Epoch: 20 [39424/47500]	Loss: 0.2392	LR: 0.000800
Training Epoch: 20 [39680/47500]	Loss: 0.2761	LR: 0.000800
Training Epoch: 20 [39936/47500]	Loss: 0.3033	LR: 0.000800
Training Epoch: 20 [40192/47500]	Loss: 0.2079	LR: 0.000800
Training Epoch: 20 [40448/47500]	Loss: 0.2688	LR: 0.000800
Training Epoch: 20 [40704/47500]	Loss: 0.2115	LR: 0.000800
Training Epoch: 20 [40960/47500]	Loss: 0.2306	LR: 0.000800
Training Epoch: 20 [41216/47500]	Loss: 0.3122	LR: 0.000800
Training Epoch: 20 [41472/47500]	Loss: 0.2063	LR: 0.000800
Training Epoch: 20 [41728/47500]	Loss: 0.3333	LR: 0.000800
Training Epoch: 20 [41984/47500]	Loss: 0.2692	LR: 0.000800
Training Epoch: 20 [42240/47500]	Loss: 0.2007	LR: 0.000800
Training Epoch: 20 [42496/47500]	Loss: 0.2059	LR: 0.000800
Training Epoch: 20 [42752/47500]	Loss: 0.2818	LR: 0.000800
Training Epoch: 20 [43008/47500]	Loss: 0.3659	LR: 0.000800
Training Epoch: 20 [43264/47500]	Loss: 0.2645	LR: 0.000800
Training Epoch: 20 [43520/47500]	Loss: 0.2044	LR: 0.000800
Training Epoch: 20 [43776/47500]	Loss: 0.2145	LR: 0.000800
Training Epoch: 20 [44032/47500]	Loss: 0.2352	LR: 0.000800
Training Epoch: 20 [44288/47500]	Loss: 0.2895	LR: 0.000800
Training Epoch: 20 [44544/47500]	Loss: 0.2573	LR: 0.000800
Training Epoch: 20 [44800/47500]	Loss: 0.1986	LR: 0.000800
Training Epoch: 20 [45056/47500]	Loss: 0.2467	LR: 0.000800
Training Epoch: 20 [45312/47500]	Loss: 0.1634	LR: 0.000800
Training Epoch: 20 [45568/47500]	Loss: 0.2861	LR: 0.000800
Training Epoch: 20 [45824/47500]	Loss: 0.2971	LR: 0.000800
Training Epoch: 20 [46080/47500]	Loss: 0.2733	LR: 0.000800
Training Epoch: 20 [46336/47500]	Loss: 0.2426	LR: 0.000800
Training Epoch: 20 [46592/47500]	Loss: 0.2736	LR: 0.000800
Training Epoch: 20 [46848/47500]	Loss: 0.3262	LR: 0.000800
Training Epoch: 20 [47104/47500]	Loss: 0.3421	LR: 0.000800
Training Epoch: 20 [47360/47500]	Loss: 0.2354	LR: 0.000800
Training Epoch: 20 [47500/47500]	Loss: 0.3543	LR: 0.000800
Epoch 20 - Average Train Loss: 0.2688, Train Accuracy: 0.9072
Epoch 20 training time consumed: 28.48s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0013, Accuracy: 0.8936, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_11h_53m_13s/ResNet18-Cifar10-seed7-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: 89.609375
Retain Accuracy: 91.04341125488281
Zero-Retain Forget (ZRF): 0.8313859701156616
Membership Inference Attack (MIA): 0.37
Forget vs Retain Membership Inference Attack (MIA): 0.511
Forget vs Test Membership Inference Attack (MIA): 0.554
Test vs Retain Membership Inference Attack (MIA): 0.49375
Train vs Test Membership Inference Attack (MIA): 0.521
Forget Set Accuracy (Df): 88.84725189208984
Method Execution Time: 1533.71 seconds
