hello
hello

📌 Retain class distribution for seed 3:
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 3:
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: 2.3920	LR: 0.000000
Training Epoch: 1 [512/47500]	Loss: 2.3366	LR: 0.000538
Training Epoch: 1 [768/47500]	Loss: 2.3210	LR: 0.001075
Training Epoch: 1 [1024/47500]	Loss: 2.3380	LR: 0.001613
Training Epoch: 1 [1280/47500]	Loss: 2.2945	LR: 0.002151
Training Epoch: 1 [1536/47500]	Loss: 2.2711	LR: 0.002688
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Training Epoch: 1 [2048/47500]	Loss: 2.2324	LR: 0.003763
Training Epoch: 1 [2304/47500]	Loss: 2.2065	LR: 0.004301
Training Epoch: 1 [2560/47500]	Loss: 2.2244	LR: 0.004839
Training Epoch: 1 [2816/47500]	Loss: 2.1517	LR: 0.005376
Training Epoch: 1 [3072/47500]	Loss: 2.2579	LR: 0.005914
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Training Epoch: 1 [10240/47500]	Loss: 1.7968	LR: 0.020968
Training Epoch: 1 [10496/47500]	Loss: 1.8602	LR: 0.021505
Training Epoch: 1 [10752/47500]	Loss: 1.8169	LR: 0.022043
Training Epoch: 1 [11008/47500]	Loss: 1.7954	LR: 0.022581
Training Epoch: 1 [11264/47500]	Loss: 1.7733	LR: 0.023118
Training Epoch: 1 [11520/47500]	Loss: 1.7235	LR: 0.023656
Training Epoch: 1 [11776/47500]	Loss: 1.7409	LR: 0.024194
Training Epoch: 1 [12032/47500]	Loss: 1.8630	LR: 0.024731
Training Epoch: 1 [12288/47500]	Loss: 1.6881	LR: 0.025269
Training Epoch: 1 [12544/47500]	Loss: 1.6761	LR: 0.025806
Training Epoch: 1 [12800/47500]	Loss: 1.8802	LR: 0.026344
Training Epoch: 1 [13056/47500]	Loss: 1.6586	LR: 0.026882
Training Epoch: 1 [13312/47500]	Loss: 1.8302	LR: 0.027419
Training Epoch: 1 [13568/47500]	Loss: 1.7717	LR: 0.027957
Training Epoch: 1 [13824/47500]	Loss: 1.7479	LR: 0.028495
Training Epoch: 1 [14080/47500]	Loss: 1.7844	LR: 0.029032
Training Epoch: 1 [14336/47500]	Loss: 1.8343	LR: 0.029570
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Training Epoch: 1 [15872/47500]	Loss: 1.8166	LR: 0.032796
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Training Epoch: 1 [16384/47500]	Loss: 1.6939	LR: 0.033871
Training Epoch: 1 [16640/47500]	Loss: 1.6563	LR: 0.034409
Training Epoch: 1 [16896/47500]	Loss: 1.6961	LR: 0.034946
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Training Epoch: 1 [20736/47500]	Loss: 1.9076	LR: 0.043011
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Training Epoch: 1 [22272/47500]	Loss: 1.6057	LR: 0.046237
Training Epoch: 1 [22528/47500]	Loss: 1.5455	LR: 0.046774
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Training Epoch: 1 [23552/47500]	Loss: 1.7033	LR: 0.048925
Training Epoch: 1 [23808/47500]	Loss: 1.6244	LR: 0.049462
Training Epoch: 1 [24064/47500]	Loss: 1.6777	LR: 0.050000
Training Epoch: 1 [24320/47500]	Loss: 1.5536	LR: 0.050538
Training Epoch: 1 [24576/47500]	Loss: 1.8345	LR: 0.051075
Training Epoch: 1 [24832/47500]	Loss: 1.7575	LR: 0.051613
Training Epoch: 1 [25088/47500]	Loss: 1.6914	LR: 0.052151
Training Epoch: 1 [25344/47500]	Loss: 1.6500	LR: 0.052688
Training Epoch: 1 [25600/47500]	Loss: 1.7777	LR: 0.053226
Training Epoch: 1 [25856/47500]	Loss: 1.8026	LR: 0.053763
Training Epoch: 1 [26112/47500]	Loss: 1.8211	LR: 0.054301
Training Epoch: 1 [26368/47500]	Loss: 1.8525	LR: 0.054839
Training Epoch: 1 [26624/47500]	Loss: 1.8192	LR: 0.055376
Training Epoch: 1 [26880/47500]	Loss: 1.8871	LR: 0.055914
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Training Epoch: 1 [27392/47500]	Loss: 1.7479	LR: 0.056989
Training Epoch: 1 [27648/47500]	Loss: 1.6584	LR: 0.057527
Training Epoch: 1 [27904/47500]	Loss: 1.6899	LR: 0.058065
Training Epoch: 1 [28160/47500]	Loss: 1.6424	LR: 0.058602
Training Epoch: 1 [28416/47500]	Loss: 1.6657	LR: 0.059140
Training Epoch: 1 [28672/47500]	Loss: 1.6839	LR: 0.059677
Training Epoch: 1 [28928/47500]	Loss: 1.6734	LR: 0.060215
Training Epoch: 1 [29184/47500]	Loss: 1.6638	LR: 0.060753
Training Epoch: 1 [29440/47500]	Loss: 1.5617	LR: 0.061290
Training Epoch: 1 [29696/47500]	Loss: 1.6319	LR: 0.061828
Training Epoch: 1 [29952/47500]	Loss: 1.6064	LR: 0.062366
Training Epoch: 1 [30208/47500]	Loss: 1.6118	LR: 0.062903
Training Epoch: 1 [30464/47500]	Loss: 1.4913	LR: 0.063441
Training Epoch: 1 [30720/47500]	Loss: 1.6706	LR: 0.063978
Training Epoch: 1 [30976/47500]	Loss: 1.5716	LR: 0.064516
Training Epoch: 1 [31232/47500]	Loss: 1.5028	LR: 0.065054
Training Epoch: 1 [31488/47500]	Loss: 1.5837	LR: 0.065591
Training Epoch: 1 [31744/47500]	Loss: 1.8548	LR: 0.066129
Training Epoch: 1 [32000/47500]	Loss: 1.6201	LR: 0.066667
Training Epoch: 1 [32256/47500]	Loss: 1.4873	LR: 0.067204
Training Epoch: 1 [32512/47500]	Loss: 1.5527	LR: 0.067742
Training Epoch: 1 [32768/47500]	Loss: 1.5687	LR: 0.068280
Training Epoch: 1 [33024/47500]	Loss: 1.6077	LR: 0.068817
Training Epoch: 1 [33280/47500]	Loss: 1.4793	LR: 0.069355
Training Epoch: 1 [33536/47500]	Loss: 1.7263	LR: 0.069892
Training Epoch: 1 [33792/47500]	Loss: 1.5146	LR: 0.070430
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Training Epoch: 1 [34304/47500]	Loss: 1.5381	LR: 0.071505
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Training Epoch: 1 [34816/47500]	Loss: 1.5858	LR: 0.072581
Training Epoch: 1 [35072/47500]	Loss: 1.5917	LR: 0.073118
Training Epoch: 1 [35328/47500]	Loss: 1.6368	LR: 0.073656
Training Epoch: 1 [35584/47500]	Loss: 1.5939	LR: 0.074194
Training Epoch: 1 [35840/47500]	Loss: 1.4955	LR: 0.074731
Training Epoch: 1 [36096/47500]	Loss: 1.4657	LR: 0.075269
Training Epoch: 1 [36352/47500]	Loss: 1.6017	LR: 0.075806
Training Epoch: 1 [36608/47500]	Loss: 1.5885	LR: 0.076344
Training Epoch: 1 [36864/47500]	Loss: 1.5252	LR: 0.076882
Training Epoch: 1 [37120/47500]	Loss: 1.6610	LR: 0.077419
Training Epoch: 1 [37376/47500]	Loss: 1.5237	LR: 0.077957
Training Epoch: 1 [37632/47500]	Loss: 1.4539	LR: 0.078495
Training Epoch: 1 [37888/47500]	Loss: 1.6195	LR: 0.079032
Training Epoch: 1 [38144/47500]	Loss: 1.6359	LR: 0.079570
Training Epoch: 1 [38400/47500]	Loss: 1.3705	LR: 0.080108
Training Epoch: 1 [38656/47500]	Loss: 1.4418	LR: 0.080645
Training Epoch: 1 [38912/47500]	Loss: 1.5179	LR: 0.081183
Training Epoch: 1 [39168/47500]	Loss: 1.4520	LR: 0.081720
Training Epoch: 1 [39424/47500]	Loss: 1.4725	LR: 0.082258
Training Epoch: 1 [39680/47500]	Loss: 1.4154	LR: 0.082796
Training Epoch: 1 [39936/47500]	Loss: 1.5725	LR: 0.083333
Training Epoch: 1 [40192/47500]	Loss: 1.4362	LR: 0.083871
Training Epoch: 1 [40448/47500]	Loss: 1.4246	LR: 0.084409
Training Epoch: 1 [40704/47500]	Loss: 1.6224	LR: 0.084946
Training Epoch: 1 [40960/47500]	Loss: 1.6000	LR: 0.085484
Training Epoch: 1 [41216/47500]	Loss: 1.4520	LR: 0.086022
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Training Epoch: 1 [41728/47500]	Loss: 1.7203	LR: 0.087097
Training Epoch: 1 [41984/47500]	Loss: 1.4719	LR: 0.087634
Training Epoch: 1 [42240/47500]	Loss: 1.6729	LR: 0.088172
Training Epoch: 1 [42496/47500]	Loss: 1.4721	LR: 0.088710
Training Epoch: 1 [42752/47500]	Loss: 1.5793	LR: 0.089247
Training Epoch: 1 [43008/47500]	Loss: 1.4180	LR: 0.089785
Training Epoch: 1 [43264/47500]	Loss: 1.5743	LR: 0.090323
Training Epoch: 1 [43520/47500]	Loss: 1.6122	LR: 0.090860
Training Epoch: 1 [43776/47500]	Loss: 1.4983	LR: 0.091398
Training Epoch: 1 [44032/47500]	Loss: 1.4736	LR: 0.091935
Training Epoch: 1 [44288/47500]	Loss: 1.6051	LR: 0.092473
Training Epoch: 1 [44544/47500]	Loss: 1.5625	LR: 0.093011
Training Epoch: 1 [44800/47500]	Loss: 1.5034	LR: 0.093548
Training Epoch: 1 [45056/47500]	Loss: 1.4829	LR: 0.094086
Training Epoch: 1 [45312/47500]	Loss: 1.5565	LR: 0.094624
Training Epoch: 1 [45568/47500]	Loss: 1.5480	LR: 0.095161
Training Epoch: 1 [45824/47500]	Loss: 1.4745	LR: 0.095699
Training Epoch: 1 [46080/47500]	Loss: 1.5304	LR: 0.096237
Training Epoch: 1 [46336/47500]	Loss: 1.6569	LR: 0.096774
Training Epoch: 1 [46592/47500]	Loss: 1.4878	LR: 0.097312
Training Epoch: 1 [46848/47500]	Loss: 1.5220	LR: 0.097849
Training Epoch: 1 [47104/47500]	Loss: 1.5795	LR: 0.098387
Training Epoch: 1 [47360/47500]	Loss: 1.3735	LR: 0.098925
Training Epoch: 1 [47500/47500]	Loss: 1.4223	LR: 0.099462
Epoch 1 - Average Train Loss: 1.7220, Train Accuracy: 0.3706
Epoch 1 training time consumed: 29.38s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0069, Accuracy: 0.3906, Time consumed:1.13s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_10h_09m_25s/ResNet18-Cifar10-seed3-ret50-1-best.pth
Training Epoch: 2 [256/47500]	Loss: 1.5275	LR: 0.100000
Training Epoch: 2 [512/47500]	Loss: 1.4604	LR: 0.100000
Training Epoch: 2 [768/47500]	Loss: 1.5376	LR: 0.100000
Training Epoch: 2 [1024/47500]	Loss: 1.6259	LR: 0.100000
Training Epoch: 2 [1280/47500]	Loss: 1.4150	LR: 0.100000
Training Epoch: 2 [1536/47500]	Loss: 1.4249	LR: 0.100000
Training Epoch: 2 [1792/47500]	Loss: 1.6216	LR: 0.100000
Training Epoch: 2 [2048/47500]	Loss: 1.5587	LR: 0.100000
Training Epoch: 2 [2304/47500]	Loss: 1.4308	LR: 0.100000
Training Epoch: 2 [2560/47500]	Loss: 1.5386	LR: 0.100000
Training Epoch: 2 [2816/47500]	Loss: 1.4376	LR: 0.100000
Training Epoch: 2 [3072/47500]	Loss: 1.5752	LR: 0.100000
Training Epoch: 2 [3328/47500]	Loss: 1.3175	LR: 0.100000
Training Epoch: 2 [3584/47500]	Loss: 1.4839	LR: 0.100000
Training Epoch: 2 [3840/47500]	Loss: 1.4258	LR: 0.100000
Training Epoch: 2 [4096/47500]	Loss: 1.3391	LR: 0.100000
Training Epoch: 2 [4352/47500]	Loss: 1.2541	LR: 0.100000
Training Epoch: 2 [4608/47500]	Loss: 1.2392	LR: 0.100000
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Training Epoch: 2 [22528/47500]	Loss: 1.1785	LR: 0.100000
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Training Epoch: 2 [47360/47500]	Loss: 1.0503	LR: 0.100000
Training Epoch: 2 [47500/47500]	Loss: 1.1653	LR: 0.100000
Epoch 2 - Average Train Loss: 1.2121, Train Accuracy: 0.5643
Epoch 2 training time consumed: 28.66s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0054, Accuracy: 0.5769, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_10h_09m_25s/ResNet18-Cifar10-seed3-ret50-2-best.pth
Training Epoch: 3 [256/47500]	Loss: 0.9501	LR: 0.100000
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Training Epoch: 3 [47500/47500]	Loss: 0.7405	LR: 0.100000
Epoch 3 - Average Train Loss: 0.9496, Train Accuracy: 0.6637
Epoch 3 training time consumed: 28.62s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0036, Accuracy: 0.6789, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_10h_09m_25s/ResNet18-Cifar10-seed3-ret50-3-best.pth
Training Epoch: 4 [256/47500]	Loss: 0.8214	LR: 0.100000
Training Epoch: 4 [512/47500]	Loss: 0.9078	LR: 0.100000
Training Epoch: 4 [768/47500]	Loss: 1.0197	LR: 0.100000
Training Epoch: 4 [1024/47500]	Loss: 0.8760	LR: 0.100000
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Training Epoch: 4 [1536/47500]	Loss: 0.7443	LR: 0.100000
Training Epoch: 4 [1792/47500]	Loss: 0.9032	LR: 0.100000
Training Epoch: 4 [2048/47500]	Loss: 0.8714	LR: 0.100000
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Training Epoch: 4 [47500/47500]	Loss: 0.8050	LR: 0.100000
Epoch 4 - Average Train Loss: 0.7950, Train Accuracy: 0.7218
Epoch 4 training time consumed: 28.79s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0032, Accuracy: 0.7277, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_10h_09m_25s/ResNet18-Cifar10-seed3-ret50-4-best.pth
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Epoch 5 - Average Train Loss: 0.7051, Train Accuracy: 0.7541
Epoch 5 training time consumed: 28.74s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0025, Accuracy: 0.7821, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_10h_09m_25s/ResNet18-Cifar10-seed3-ret50-5-best.pth
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Epoch 6 - Average Train Loss: 0.6439, Train Accuracy: 0.7759
Epoch 6 training time consumed: 28.76s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0033, Accuracy: 0.7355, Time consumed:0.90s
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Training Epoch: 7 [10240/47500]	Loss: 0.6495	LR: 0.100000
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Training Epoch: 7 [10752/47500]	Loss: 0.5835	LR: 0.100000
Training Epoch: 7 [11008/47500]	Loss: 0.5819	LR: 0.100000
Training Epoch: 7 [11264/47500]	Loss: 0.7152	LR: 0.100000
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Training Epoch: 7 [12032/47500]	Loss: 0.5677	LR: 0.100000
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Training Epoch: 7 [12544/47500]	Loss: 0.5424	LR: 0.100000
Training Epoch: 7 [12800/47500]	Loss: 0.4829	LR: 0.100000
Training Epoch: 7 [13056/47500]	Loss: 0.5515	LR: 0.100000
Training Epoch: 7 [13312/47500]	Loss: 0.5525	LR: 0.100000
Training Epoch: 7 [13568/47500]	Loss: 0.7068	LR: 0.100000
Training Epoch: 7 [13824/47500]	Loss: 0.5569	LR: 0.100000
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Training Epoch: 7 [14336/47500]	Loss: 0.7206	LR: 0.100000
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Training Epoch: 7 [16384/47500]	Loss: 0.6876	LR: 0.100000
Training Epoch: 7 [16640/47500]	Loss: 0.5040	LR: 0.100000
Training Epoch: 7 [16896/47500]	Loss: 0.7278	LR: 0.100000
Training Epoch: 7 [17152/47500]	Loss: 0.5295	LR: 0.100000
Training Epoch: 7 [17408/47500]	Loss: 0.5870	LR: 0.100000
Training Epoch: 7 [17664/47500]	Loss: 0.5631	LR: 0.100000
Training Epoch: 7 [17920/47500]	Loss: 0.6314	LR: 0.100000
Training Epoch: 7 [18176/47500]	Loss: 0.5362	LR: 0.100000
Training Epoch: 7 [18432/47500]	Loss: 0.5447	LR: 0.100000
Training Epoch: 7 [18688/47500]	Loss: 0.6040	LR: 0.100000
Training Epoch: 7 [18944/47500]	Loss: 0.5573	LR: 0.100000
Training Epoch: 7 [19200/47500]	Loss: 0.5842	LR: 0.100000
Training Epoch: 7 [19456/47500]	Loss: 0.6817	LR: 0.100000
Training Epoch: 7 [19712/47500]	Loss: 0.6637	LR: 0.100000
Training Epoch: 7 [19968/47500]	Loss: 0.5586	LR: 0.100000
Training Epoch: 7 [20224/47500]	Loss: 0.5697	LR: 0.100000
Training Epoch: 7 [20480/47500]	Loss: 0.5771	LR: 0.100000
Training Epoch: 7 [20736/47500]	Loss: 0.5222	LR: 0.100000
Training Epoch: 7 [20992/47500]	Loss: 0.5854	LR: 0.100000
Training Epoch: 7 [21248/47500]	Loss: 0.6117	LR: 0.100000
Training Epoch: 7 [21504/47500]	Loss: 0.5428	LR: 0.100000
Training Epoch: 7 [21760/47500]	Loss: 0.5784	LR: 0.100000
Training Epoch: 7 [22016/47500]	Loss: 0.6714	LR: 0.100000
Training Epoch: 7 [22272/47500]	Loss: 0.5497	LR: 0.100000
Training Epoch: 7 [22528/47500]	Loss: 0.5566	LR: 0.100000
Training Epoch: 7 [22784/47500]	Loss: 0.5274	LR: 0.100000
Training Epoch: 7 [23040/47500]	Loss: 0.5326	LR: 0.100000
Training Epoch: 7 [23296/47500]	Loss: 0.6100	LR: 0.100000
Training Epoch: 7 [23552/47500]	Loss: 0.5033	LR: 0.100000
Training Epoch: 7 [23808/47500]	Loss: 0.4862	LR: 0.100000
Training Epoch: 7 [24064/47500]	Loss: 0.5099	LR: 0.100000
Training Epoch: 7 [24320/47500]	Loss: 0.5804	LR: 0.100000
Training Epoch: 7 [24576/47500]	Loss: 0.5654	LR: 0.100000
Training Epoch: 7 [24832/47500]	Loss: 0.5359	LR: 0.100000
Training Epoch: 7 [25088/47500]	Loss: 0.5255	LR: 0.100000
Training Epoch: 7 [25344/47500]	Loss: 0.5343	LR: 0.100000
Training Epoch: 7 [25600/47500]	Loss: 0.6798	LR: 0.100000
Training Epoch: 7 [25856/47500]	Loss: 0.7214	LR: 0.100000
Training Epoch: 7 [26112/47500]	Loss: 0.4619	LR: 0.100000
Training Epoch: 7 [26368/47500]	Loss: 0.6527	LR: 0.100000
Training Epoch: 7 [26624/47500]	Loss: 0.5843	LR: 0.100000
Training Epoch: 7 [26880/47500]	Loss: 0.7108	LR: 0.100000
Training Epoch: 7 [27136/47500]	Loss: 0.6281	LR: 0.100000
Training Epoch: 7 [27392/47500]	Loss: 0.5804	LR: 0.100000
Training Epoch: 7 [27648/47500]	Loss: 0.5654	LR: 0.100000
Training Epoch: 7 [27904/47500]	Loss: 0.6224	LR: 0.100000
Training Epoch: 7 [28160/47500]	Loss: 0.4906	LR: 0.100000
Training Epoch: 7 [28416/47500]	Loss: 0.5224	LR: 0.100000
Training Epoch: 7 [28672/47500]	Loss: 0.5581	LR: 0.100000
Training Epoch: 7 [28928/47500]	Loss: 0.5827	LR: 0.100000
Training Epoch: 7 [29184/47500]	Loss: 0.6299	LR: 0.100000
Training Epoch: 7 [29440/47500]	Loss: 0.5422	LR: 0.100000
Training Epoch: 7 [29696/47500]	Loss: 0.6034	LR: 0.100000
Training Epoch: 7 [29952/47500]	Loss: 0.5374	LR: 0.100000
Training Epoch: 7 [30208/47500]	Loss: 0.7267	LR: 0.100000
Training Epoch: 7 [30464/47500]	Loss: 0.6019	LR: 0.100000
Training Epoch: 7 [30720/47500]	Loss: 0.4701	LR: 0.100000
Training Epoch: 7 [30976/47500]	Loss: 0.5721	LR: 0.100000
Training Epoch: 7 [31232/47500]	Loss: 0.5675	LR: 0.100000
Training Epoch: 7 [31488/47500]	Loss: 0.6164	LR: 0.100000
Training Epoch: 7 [31744/47500]	Loss: 0.4927	LR: 0.100000
Training Epoch: 7 [32000/47500]	Loss: 0.4936	LR: 0.100000
Training Epoch: 7 [32256/47500]	Loss: 0.5207	LR: 0.100000
Training Epoch: 7 [32512/47500]	Loss: 0.6616	LR: 0.100000
Training Epoch: 7 [32768/47500]	Loss: 0.6015	LR: 0.100000
Training Epoch: 7 [33024/47500]	Loss: 0.6000	LR: 0.100000
Training Epoch: 7 [33280/47500]	Loss: 0.5422	LR: 0.100000
Training Epoch: 7 [33536/47500]	Loss: 0.5302	LR: 0.100000
Training Epoch: 7 [33792/47500]	Loss: 0.5244	LR: 0.100000
Training Epoch: 7 [34048/47500]	Loss: 0.5404	LR: 0.100000
Training Epoch: 7 [34304/47500]	Loss: 0.5599	LR: 0.100000
Training Epoch: 7 [34560/47500]	Loss: 0.5487	LR: 0.100000
Training Epoch: 7 [34816/47500]	Loss: 0.5968	LR: 0.100000
Training Epoch: 7 [35072/47500]	Loss: 0.5491	LR: 0.100000
Training Epoch: 7 [35328/47500]	Loss: 0.5782	LR: 0.100000
Training Epoch: 7 [35584/47500]	Loss: 0.5714	LR: 0.100000
Training Epoch: 7 [35840/47500]	Loss: 0.6578	LR: 0.100000
Training Epoch: 7 [36096/47500]	Loss: 0.5520	LR: 0.100000
Training Epoch: 7 [36352/47500]	Loss: 0.5729	LR: 0.100000
Training Epoch: 7 [36608/47500]	Loss: 0.6057	LR: 0.100000
Training Epoch: 7 [36864/47500]	Loss: 0.5761	LR: 0.100000
Training Epoch: 7 [37120/47500]	Loss: 0.6274	LR: 0.100000
Training Epoch: 7 [37376/47500]	Loss: 0.5404	LR: 0.100000
Training Epoch: 7 [37632/47500]	Loss: 0.6193	LR: 0.100000
Training Epoch: 7 [37888/47500]	Loss: 0.5527	LR: 0.100000
Training Epoch: 7 [38144/47500]	Loss: 0.6385	LR: 0.100000
Training Epoch: 7 [38400/47500]	Loss: 0.6163	LR: 0.100000
Training Epoch: 7 [38656/47500]	Loss: 0.6229	LR: 0.100000
Training Epoch: 7 [38912/47500]	Loss: 0.5802	LR: 0.100000
Training Epoch: 7 [39168/47500]	Loss: 0.6272	LR: 0.100000
Training Epoch: 7 [39424/47500]	Loss: 0.6296	LR: 0.100000
Training Epoch: 7 [39680/47500]	Loss: 0.5646	LR: 0.100000
Training Epoch: 7 [39936/47500]	Loss: 0.5197	LR: 0.100000
Training Epoch: 7 [40192/47500]	Loss: 0.5471	LR: 0.100000
Training Epoch: 7 [40448/47500]	Loss: 0.5713	LR: 0.100000
Training Epoch: 7 [40704/47500]	Loss: 0.6138	LR: 0.100000
Training Epoch: 7 [40960/47500]	Loss: 0.6482	LR: 0.100000
Training Epoch: 7 [41216/47500]	Loss: 0.6603	LR: 0.100000
Training Epoch: 7 [41472/47500]	Loss: 0.5288	LR: 0.100000
Training Epoch: 7 [41728/47500]	Loss: 0.6613	LR: 0.100000
Training Epoch: 7 [41984/47500]	Loss: 0.5233	LR: 0.100000
Training Epoch: 7 [42240/47500]	Loss: 0.5793	LR: 0.100000
Training Epoch: 7 [42496/47500]	Loss: 0.5562	LR: 0.100000
Training Epoch: 7 [42752/47500]	Loss: 0.7150	LR: 0.100000
Training Epoch: 7 [43008/47500]	Loss: 0.5357	LR: 0.100000
Training Epoch: 7 [43264/47500]	Loss: 0.5979	LR: 0.100000
Training Epoch: 7 [43520/47500]	Loss: 0.5300	LR: 0.100000
Training Epoch: 7 [43776/47500]	Loss: 0.5604	LR: 0.100000
Training Epoch: 7 [44032/47500]	Loss: 0.5111	LR: 0.100000
Training Epoch: 7 [44288/47500]	Loss: 0.5259	LR: 0.100000
Training Epoch: 7 [44544/47500]	Loss: 0.5656	LR: 0.100000
Training Epoch: 7 [44800/47500]	Loss: 0.6142	LR: 0.100000
Training Epoch: 7 [45056/47500]	Loss: 0.6791	LR: 0.100000
Training Epoch: 7 [45312/47500]	Loss: 0.7036	LR: 0.100000
Training Epoch: 7 [45568/47500]	Loss: 0.6826	LR: 0.100000
Training Epoch: 7 [45824/47500]	Loss: 0.6180	LR: 0.100000
Training Epoch: 7 [46080/47500]	Loss: 0.4993	LR: 0.100000
Training Epoch: 7 [46336/47500]	Loss: 0.5840	LR: 0.100000
Training Epoch: 7 [46592/47500]	Loss: 0.4730	LR: 0.100000
Training Epoch: 7 [46848/47500]	Loss: 0.5277	LR: 0.100000
Training Epoch: 7 [47104/47500]	Loss: 0.6285	LR: 0.100000
Training Epoch: 7 [47360/47500]	Loss: 0.6891	LR: 0.100000
Training Epoch: 7 [47500/47500]	Loss: 0.5622	LR: 0.100000
Epoch 7 - Average Train Loss: 0.5877, Train Accuracy: 0.7945
Epoch 7 training time consumed: 28.69s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0033, Accuracy: 0.7363, Time consumed:0.94s
Training Epoch: 8 [256/47500]	Loss: 0.5342	LR: 0.020000
Training Epoch: 8 [512/47500]	Loss: 0.6081	LR: 0.020000
Training Epoch: 8 [768/47500]	Loss: 0.5676	LR: 0.020000
Training Epoch: 8 [1024/47500]	Loss: 0.6799	LR: 0.020000
Training Epoch: 8 [1280/47500]	Loss: 0.5271	LR: 0.020000
Training Epoch: 8 [1536/47500]	Loss: 0.4946	LR: 0.020000
Training Epoch: 8 [1792/47500]	Loss: 0.4839	LR: 0.020000
Training Epoch: 8 [2048/47500]	Loss: 0.4836	LR: 0.020000
Training Epoch: 8 [2304/47500]	Loss: 0.5482	LR: 0.020000
Training Epoch: 8 [2560/47500]	Loss: 0.5376	LR: 0.020000
Training Epoch: 8 [2816/47500]	Loss: 0.4651	LR: 0.020000
Training Epoch: 8 [3072/47500]	Loss: 0.6099	LR: 0.020000
Training Epoch: 8 [3328/47500]	Loss: 0.4696	LR: 0.020000
Training Epoch: 8 [3584/47500]	Loss: 0.4719	LR: 0.020000
Training Epoch: 8 [3840/47500]	Loss: 0.5522	LR: 0.020000
Training Epoch: 8 [4096/47500]	Loss: 0.5167	LR: 0.020000
Training Epoch: 8 [4352/47500]	Loss: 0.4941	LR: 0.020000
Training Epoch: 8 [4608/47500]	Loss: 0.5232	LR: 0.020000
Training Epoch: 8 [4864/47500]	Loss: 0.5367	LR: 0.020000
Training Epoch: 8 [5120/47500]	Loss: 0.4502	LR: 0.020000
Training Epoch: 8 [5376/47500]	Loss: 0.4662	LR: 0.020000
Training Epoch: 8 [5632/47500]	Loss: 0.6436	LR: 0.020000
Training Epoch: 8 [5888/47500]	Loss: 0.4416	LR: 0.020000
Training Epoch: 8 [6144/47500]	Loss: 0.5044	LR: 0.020000
Training Epoch: 8 [6400/47500]	Loss: 0.4607	LR: 0.020000
Training Epoch: 8 [6656/47500]	Loss: 0.5173	LR: 0.020000
Training Epoch: 8 [6912/47500]	Loss: 0.5031	LR: 0.020000
Training Epoch: 8 [7168/47500]	Loss: 0.5440	LR: 0.020000
Training Epoch: 8 [7424/47500]	Loss: 0.4217	LR: 0.020000
Training Epoch: 8 [7680/47500]	Loss: 0.4726	LR: 0.020000
Training Epoch: 8 [7936/47500]	Loss: 0.4582	LR: 0.020000
Training Epoch: 8 [8192/47500]	Loss: 0.5597	LR: 0.020000
Training Epoch: 8 [8448/47500]	Loss: 0.5050	LR: 0.020000
Training Epoch: 8 [8704/47500]	Loss: 0.4480	LR: 0.020000
Training Epoch: 8 [8960/47500]	Loss: 0.4395	LR: 0.020000
Training Epoch: 8 [9216/47500]	Loss: 0.5648	LR: 0.020000
Training Epoch: 8 [9472/47500]	Loss: 0.4687	LR: 0.020000
Training Epoch: 8 [9728/47500]	Loss: 0.4986	LR: 0.020000
Training Epoch: 8 [9984/47500]	Loss: 0.4122	LR: 0.020000
Training Epoch: 8 [10240/47500]	Loss: 0.5030	LR: 0.020000
Training Epoch: 8 [10496/47500]	Loss: 0.4315	LR: 0.020000
Training Epoch: 8 [10752/47500]	Loss: 0.4293	LR: 0.020000
Training Epoch: 8 [11008/47500]	Loss: 0.3863	LR: 0.020000
Training Epoch: 8 [11264/47500]	Loss: 0.5090	LR: 0.020000
Training Epoch: 8 [11520/47500]	Loss: 0.3809	LR: 0.020000
Training Epoch: 8 [11776/47500]	Loss: 0.5164	LR: 0.020000
Training Epoch: 8 [12032/47500]	Loss: 0.3815	LR: 0.020000
Training Epoch: 8 [12288/47500]	Loss: 0.4278	LR: 0.020000
Training Epoch: 8 [12544/47500]	Loss: 0.5127	LR: 0.020000
Training Epoch: 8 [12800/47500]	Loss: 0.5048	LR: 0.020000
Training Epoch: 8 [13056/47500]	Loss: 0.4907	LR: 0.020000
Training Epoch: 8 [13312/47500]	Loss: 0.4971	LR: 0.020000
Training Epoch: 8 [13568/47500]	Loss: 0.4262	LR: 0.020000
Training Epoch: 8 [13824/47500]	Loss: 0.3591	LR: 0.020000
Training Epoch: 8 [14080/47500]	Loss: 0.3474	LR: 0.020000
Training Epoch: 8 [14336/47500]	Loss: 0.4045	LR: 0.020000
Training Epoch: 8 [14592/47500]	Loss: 0.4013	LR: 0.020000
Training Epoch: 8 [14848/47500]	Loss: 0.3611	LR: 0.020000
Training Epoch: 8 [15104/47500]	Loss: 0.4622	LR: 0.020000
Training Epoch: 8 [15360/47500]	Loss: 0.4580	LR: 0.020000
Training Epoch: 8 [15616/47500]	Loss: 0.4089	LR: 0.020000
Training Epoch: 8 [15872/47500]	Loss: 0.4192	LR: 0.020000
Training Epoch: 8 [16128/47500]	Loss: 0.4477	LR: 0.020000
Training Epoch: 8 [16384/47500]	Loss: 0.5059	LR: 0.020000
Training Epoch: 8 [16640/47500]	Loss: 0.3833	LR: 0.020000
Training Epoch: 8 [16896/47500]	Loss: 0.4008	LR: 0.020000
Training Epoch: 8 [17152/47500]	Loss: 0.3297	LR: 0.020000
Training Epoch: 8 [17408/47500]	Loss: 0.4495	LR: 0.020000
Training Epoch: 8 [17664/47500]	Loss: 0.4499	LR: 0.020000
Training Epoch: 8 [17920/47500]	Loss: 0.3678	LR: 0.020000
Training Epoch: 8 [18176/47500]	Loss: 0.4932	LR: 0.020000
Training Epoch: 8 [18432/47500]	Loss: 0.3510	LR: 0.020000
Training Epoch: 8 [18688/47500]	Loss: 0.3865	LR: 0.020000
Training Epoch: 8 [18944/47500]	Loss: 0.3483	LR: 0.020000
Training Epoch: 8 [19200/47500]	Loss: 0.5201	LR: 0.020000
Training Epoch: 8 [19456/47500]	Loss: 0.3716	LR: 0.020000
Training Epoch: 8 [19712/47500]	Loss: 0.4511	LR: 0.020000
Training Epoch: 8 [19968/47500]	Loss: 0.3838	LR: 0.020000
Training Epoch: 8 [20224/47500]	Loss: 0.5226	LR: 0.020000
Training Epoch: 8 [20480/47500]	Loss: 0.4322	LR: 0.020000
Training Epoch: 8 [20736/47500]	Loss: 0.5048	LR: 0.020000
Training Epoch: 8 [20992/47500]	Loss: 0.4371	LR: 0.020000
Training Epoch: 8 [21248/47500]	Loss: 0.4485	LR: 0.020000
Training Epoch: 8 [21504/47500]	Loss: 0.4311	LR: 0.020000
Training Epoch: 8 [21760/47500]	Loss: 0.3660	LR: 0.020000
Training Epoch: 8 [22016/47500]	Loss: 0.4562	LR: 0.020000
Training Epoch: 8 [22272/47500]	Loss: 0.4366	LR: 0.020000
Training Epoch: 8 [22528/47500]	Loss: 0.4033	LR: 0.020000
Training Epoch: 8 [22784/47500]	Loss: 0.4129	LR: 0.020000
Training Epoch: 8 [23040/47500]	Loss: 0.4131	LR: 0.020000
Training Epoch: 8 [23296/47500]	Loss: 0.4767	LR: 0.020000
Training Epoch: 8 [23552/47500]	Loss: 0.4536	LR: 0.020000
Training Epoch: 8 [23808/47500]	Loss: 0.4642	LR: 0.020000
Training Epoch: 8 [24064/47500]	Loss: 0.3528	LR: 0.020000
Training Epoch: 8 [24320/47500]	Loss: 0.4731	LR: 0.020000
Training Epoch: 8 [24576/47500]	Loss: 0.4596	LR: 0.020000
Training Epoch: 8 [24832/47500]	Loss: 0.4026	LR: 0.020000
Training Epoch: 8 [25088/47500]	Loss: 0.3752	LR: 0.020000
Training Epoch: 8 [25344/47500]	Loss: 0.3792	LR: 0.020000
Training Epoch: 8 [25600/47500]	Loss: 0.3811	LR: 0.020000
Training Epoch: 8 [25856/47500]	Loss: 0.4217	LR: 0.020000
Training Epoch: 8 [26112/47500]	Loss: 0.3876	LR: 0.020000
Training Epoch: 8 [26368/47500]	Loss: 0.3373	LR: 0.020000
Training Epoch: 8 [26624/47500]	Loss: 0.3370	LR: 0.020000
Training Epoch: 8 [26880/47500]	Loss: 0.4838	LR: 0.020000
Training Epoch: 8 [27136/47500]	Loss: 0.4549	LR: 0.020000
Training Epoch: 8 [27392/47500]	Loss: 0.3953	LR: 0.020000
Training Epoch: 8 [27648/47500]	Loss: 0.4537	LR: 0.020000
Training Epoch: 8 [27904/47500]	Loss: 0.3184	LR: 0.020000
Training Epoch: 8 [28160/47500]	Loss: 0.4197	LR: 0.020000
Training Epoch: 8 [28416/47500]	Loss: 0.4777	LR: 0.020000
Training Epoch: 8 [28672/47500]	Loss: 0.4576	LR: 0.020000
Training Epoch: 8 [28928/47500]	Loss: 0.4091	LR: 0.020000
Training Epoch: 8 [29184/47500]	Loss: 0.4221	LR: 0.020000
Training Epoch: 8 [29440/47500]	Loss: 0.4749	LR: 0.020000
Training Epoch: 8 [29696/47500]	Loss: 0.5172	LR: 0.020000
Training Epoch: 8 [29952/47500]	Loss: 0.4092	LR: 0.020000
Training Epoch: 8 [30208/47500]	Loss: 0.4832	LR: 0.020000
Training Epoch: 8 [30464/47500]	Loss: 0.5261	LR: 0.020000
Training Epoch: 8 [30720/47500]	Loss: 0.3506	LR: 0.020000
Training Epoch: 8 [30976/47500]	Loss: 0.4017	LR: 0.020000
Training Epoch: 8 [31232/47500]	Loss: 0.4938	LR: 0.020000
Training Epoch: 8 [31488/47500]	Loss: 0.4185	LR: 0.020000
Training Epoch: 8 [31744/47500]	Loss: 0.3464	LR: 0.020000
Training Epoch: 8 [32000/47500]	Loss: 0.3974	LR: 0.020000
Training Epoch: 8 [32256/47500]	Loss: 0.5117	LR: 0.020000
Training Epoch: 8 [32512/47500]	Loss: 0.3806	LR: 0.020000
Training Epoch: 8 [32768/47500]	Loss: 0.4420	LR: 0.020000
Training Epoch: 8 [33024/47500]	Loss: 0.4084	LR: 0.020000
Training Epoch: 8 [33280/47500]	Loss: 0.4343	LR: 0.020000
Training Epoch: 8 [33536/47500]	Loss: 0.4695	LR: 0.020000
Training Epoch: 8 [33792/47500]	Loss: 0.4478	LR: 0.020000
Training Epoch: 8 [34048/47500]	Loss: 0.4663	LR: 0.020000
Training Epoch: 8 [34304/47500]	Loss: 0.4843	LR: 0.020000
Training Epoch: 8 [34560/47500]	Loss: 0.4121	LR: 0.020000
Training Epoch: 8 [34816/47500]	Loss: 0.4275	LR: 0.020000
Training Epoch: 8 [35072/47500]	Loss: 0.5708	LR: 0.020000
Training Epoch: 8 [35328/47500]	Loss: 0.4114	LR: 0.020000
Training Epoch: 8 [35584/47500]	Loss: 0.4229	LR: 0.020000
Training Epoch: 8 [35840/47500]	Loss: 0.4011	LR: 0.020000
Training Epoch: 8 [36096/47500]	Loss: 0.5438	LR: 0.020000
Training Epoch: 8 [36352/47500]	Loss: 0.3882	LR: 0.020000
Training Epoch: 8 [36608/47500]	Loss: 0.3665	LR: 0.020000
Training Epoch: 8 [36864/47500]	Loss: 0.3911	LR: 0.020000
Training Epoch: 8 [37120/47500]	Loss: 0.3945	LR: 0.020000
Training Epoch: 8 [37376/47500]	Loss: 0.4047	LR: 0.020000
Training Epoch: 8 [37632/47500]	Loss: 0.4281	LR: 0.020000
Training Epoch: 8 [37888/47500]	Loss: 0.3839	LR: 0.020000
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Training Epoch: 8 [47500/47500]	Loss: 0.4355	LR: 0.020000
Epoch 8 - Average Train Loss: 0.4446, Train Accuracy: 0.8452
Epoch 8 training time consumed: 28.75s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0016, Accuracy: 0.8597, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_10h_09m_25s/ResNet18-Cifar10-seed3-ret50-8-best.pth
Training Epoch: 9 [256/47500]	Loss: 0.3614	LR: 0.020000
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Training Epoch: 9 [47500/47500]	Loss: 0.3533	LR: 0.020000
Epoch 9 - Average Train Loss: 0.3950, Train Accuracy: 0.8621
Epoch 9 training time consumed: 28.96s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0016, Accuracy: 0.8619, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_10h_09m_25s/ResNet18-Cifar10-seed3-ret50-9-best.pth
Training Epoch: 10 [256/47500]	Loss: 0.4119	LR: 0.020000
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Training Epoch: 10 [14336/47500]	Loss: 0.4477	LR: 0.020000
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Training Epoch: 10 [15104/47500]	Loss: 0.3173	LR: 0.020000
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Training Epoch: 10 [16896/47500]	Loss: 0.3743	LR: 0.020000
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Training Epoch: 10 [19968/47500]	Loss: 0.2911	LR: 0.020000
Training Epoch: 10 [20224/47500]	Loss: 0.4800	LR: 0.020000
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Training Epoch: 10 [21504/47500]	Loss: 0.4242	LR: 0.020000
Training Epoch: 10 [21760/47500]	Loss: 0.4194	LR: 0.020000
Training Epoch: 10 [22016/47500]	Loss: 0.2889	LR: 0.020000
Training Epoch: 10 [22272/47500]	Loss: 0.3724	LR: 0.020000
Training Epoch: 10 [22528/47500]	Loss: 0.4467	LR: 0.020000
Training Epoch: 10 [22784/47500]	Loss: 0.4284	LR: 0.020000
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Training Epoch: 10 [23808/47500]	Loss: 0.3903	LR: 0.020000
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Training Epoch: 10 [24832/47500]	Loss: 0.3697	LR: 0.020000
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Training Epoch: 10 [25344/47500]	Loss: 0.2734	LR: 0.020000
Training Epoch: 10 [25600/47500]	Loss: 0.3217	LR: 0.020000
Training Epoch: 10 [25856/47500]	Loss: 0.3976	LR: 0.020000
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Training Epoch: 10 [28416/47500]	Loss: 0.3685	LR: 0.020000
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Training Epoch: 10 [29952/47500]	Loss: 0.3227	LR: 0.020000
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Training Epoch: 10 [30976/47500]	Loss: 0.3382	LR: 0.020000
Training Epoch: 10 [31232/47500]	Loss: 0.3788	LR: 0.020000
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Training Epoch: 10 [32256/47500]	Loss: 0.3220	LR: 0.020000
Training Epoch: 10 [32512/47500]	Loss: 0.4195	LR: 0.020000
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Training Epoch: 10 [33024/47500]	Loss: 0.3168	LR: 0.020000
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Training Epoch: 10 [35072/47500]	Loss: 0.4263	LR: 0.020000
Training Epoch: 10 [35328/47500]	Loss: 0.3793	LR: 0.020000
Training Epoch: 10 [35584/47500]	Loss: 0.3447	LR: 0.020000
Training Epoch: 10 [35840/47500]	Loss: 0.3361	LR: 0.020000
Training Epoch: 10 [36096/47500]	Loss: 0.3937	LR: 0.020000
Training Epoch: 10 [36352/47500]	Loss: 0.4053	LR: 0.020000
Training Epoch: 10 [36608/47500]	Loss: 0.3184	LR: 0.020000
Training Epoch: 10 [36864/47500]	Loss: 0.2426	LR: 0.020000
Training Epoch: 10 [37120/47500]	Loss: 0.3891	LR: 0.020000
Training Epoch: 10 [37376/47500]	Loss: 0.3186	LR: 0.020000
Training Epoch: 10 [37632/47500]	Loss: 0.2353	LR: 0.020000
Training Epoch: 10 [37888/47500]	Loss: 0.3184	LR: 0.020000
Training Epoch: 10 [38144/47500]	Loss: 0.3241	LR: 0.020000
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Training Epoch: 10 [38656/47500]	Loss: 0.3877	LR: 0.020000
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Training Epoch: 10 [39168/47500]	Loss: 0.4241	LR: 0.020000
Training Epoch: 10 [39424/47500]	Loss: 0.3279	LR: 0.020000
Training Epoch: 10 [39680/47500]	Loss: 0.4282	LR: 0.020000
Training Epoch: 10 [39936/47500]	Loss: 0.4113	LR: 0.020000
Training Epoch: 10 [40192/47500]	Loss: 0.4134	LR: 0.020000
Training Epoch: 10 [40448/47500]	Loss: 0.4142	LR: 0.020000
Training Epoch: 10 [40704/47500]	Loss: 0.4694	LR: 0.020000
Training Epoch: 10 [40960/47500]	Loss: 0.3895	LR: 0.020000
Training Epoch: 10 [41216/47500]	Loss: 0.3723	LR: 0.020000
Training Epoch: 10 [41472/47500]	Loss: 0.3576	LR: 0.020000
Training Epoch: 10 [41728/47500]	Loss: 0.3597	LR: 0.020000
Training Epoch: 10 [41984/47500]	Loss: 0.3761	LR: 0.020000
Training Epoch: 10 [42240/47500]	Loss: 0.4363	LR: 0.020000
Training Epoch: 10 [42496/47500]	Loss: 0.2846	LR: 0.020000
Training Epoch: 10 [42752/47500]	Loss: 0.2971	LR: 0.020000
Training Epoch: 10 [43008/47500]	Loss: 0.3447	LR: 0.020000
Training Epoch: 10 [43264/47500]	Loss: 0.3839	LR: 0.020000
Training Epoch: 10 [43520/47500]	Loss: 0.3092	LR: 0.020000
Training Epoch: 10 [43776/47500]	Loss: 0.4205	LR: 0.020000
Training Epoch: 10 [44032/47500]	Loss: 0.4126	LR: 0.020000
Training Epoch: 10 [44288/47500]	Loss: 0.3889	LR: 0.020000
Training Epoch: 10 [44544/47500]	Loss: 0.3183	LR: 0.020000
Training Epoch: 10 [44800/47500]	Loss: 0.3361	LR: 0.020000
Training Epoch: 10 [45056/47500]	Loss: 0.2923	LR: 0.020000
Training Epoch: 10 [45312/47500]	Loss: 0.3956	LR: 0.020000
Training Epoch: 10 [45568/47500]	Loss: 0.4075	LR: 0.020000
Training Epoch: 10 [45824/47500]	Loss: 0.3825	LR: 0.020000
Training Epoch: 10 [46080/47500]	Loss: 0.3654	LR: 0.020000
Training Epoch: 10 [46336/47500]	Loss: 0.4585	LR: 0.020000
Training Epoch: 10 [46592/47500]	Loss: 0.2660	LR: 0.020000
Training Epoch: 10 [46848/47500]	Loss: 0.3281	LR: 0.020000
Training Epoch: 10 [47104/47500]	Loss: 0.4051	LR: 0.020000
Training Epoch: 10 [47360/47500]	Loss: 0.3750	LR: 0.020000
Training Epoch: 10 [47500/47500]	Loss: 0.5079	LR: 0.020000
Epoch 10 - Average Train Loss: 0.3717, Train Accuracy: 0.8695
Epoch 10 training time consumed: 28.70s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0017, Accuracy: 0.8569, Time consumed:0.91s
Training Epoch: 11 [256/47500]	Loss: 0.3134	LR: 0.020000
Training Epoch: 11 [512/47500]	Loss: 0.4234	LR: 0.020000
Training Epoch: 11 [768/47500]	Loss: 0.4161	LR: 0.020000
Training Epoch: 11 [1024/47500]	Loss: 0.2838	LR: 0.020000
Training Epoch: 11 [1280/47500]	Loss: 0.2884	LR: 0.020000
Training Epoch: 11 [1536/47500]	Loss: 0.2729	LR: 0.020000
Training Epoch: 11 [1792/47500]	Loss: 0.3059	LR: 0.020000
Training Epoch: 11 [2048/47500]	Loss: 0.4036	LR: 0.020000
Training Epoch: 11 [2304/47500]	Loss: 0.2727	LR: 0.020000
Training Epoch: 11 [2560/47500]	Loss: 0.4288	LR: 0.020000
Training Epoch: 11 [2816/47500]	Loss: 0.3140	LR: 0.020000
Training Epoch: 11 [3072/47500]	Loss: 0.3387	LR: 0.020000
Training Epoch: 11 [3328/47500]	Loss: 0.4086	LR: 0.020000
Training Epoch: 11 [3584/47500]	Loss: 0.2790	LR: 0.020000
Training Epoch: 11 [3840/47500]	Loss: 0.3576	LR: 0.020000
Training Epoch: 11 [4096/47500]	Loss: 0.3022	LR: 0.020000
Training Epoch: 11 [4352/47500]	Loss: 0.3688	LR: 0.020000
Training Epoch: 11 [4608/47500]	Loss: 0.3471	LR: 0.020000
Training Epoch: 11 [4864/47500]	Loss: 0.3672	LR: 0.020000
Training Epoch: 11 [5120/47500]	Loss: 0.4573	LR: 0.020000
Training Epoch: 11 [5376/47500]	Loss: 0.4082	LR: 0.020000
Training Epoch: 11 [5632/47500]	Loss: 0.4285	LR: 0.020000
Training Epoch: 11 [5888/47500]	Loss: 0.4317	LR: 0.020000
Training Epoch: 11 [6144/47500]	Loss: 0.3607	LR: 0.020000
Training Epoch: 11 [6400/47500]	Loss: 0.4377	LR: 0.020000
Training Epoch: 11 [6656/47500]	Loss: 0.2917	LR: 0.020000
Training Epoch: 11 [6912/47500]	Loss: 0.3035	LR: 0.020000
Training Epoch: 11 [7168/47500]	Loss: 0.2778	LR: 0.020000
Training Epoch: 11 [7424/47500]	Loss: 0.2956	LR: 0.020000
Training Epoch: 11 [7680/47500]	Loss: 0.3582	LR: 0.020000
Training Epoch: 11 [7936/47500]	Loss: 0.3048	LR: 0.020000
Training Epoch: 11 [8192/47500]	Loss: 0.3278	LR: 0.020000
Training Epoch: 11 [8448/47500]	Loss: 0.3687	LR: 0.020000
Training Epoch: 11 [8704/47500]	Loss: 0.3739	LR: 0.020000
Training Epoch: 11 [8960/47500]	Loss: 0.3181	LR: 0.020000
Training Epoch: 11 [9216/47500]	Loss: 0.4131	LR: 0.020000
Training Epoch: 11 [9472/47500]	Loss: 0.3184	LR: 0.020000
Training Epoch: 11 [9728/47500]	Loss: 0.4889	LR: 0.020000
Training Epoch: 11 [9984/47500]	Loss: 0.2749	LR: 0.020000
Training Epoch: 11 [10240/47500]	Loss: 0.3091	LR: 0.020000
Training Epoch: 11 [10496/47500]	Loss: 0.3298	LR: 0.020000
Training Epoch: 11 [10752/47500]	Loss: 0.3234	LR: 0.020000
Training Epoch: 11 [11008/47500]	Loss: 0.3841	LR: 0.020000
Training Epoch: 11 [11264/47500]	Loss: 0.4557	LR: 0.020000
Training Epoch: 11 [11520/47500]	Loss: 0.3819	LR: 0.020000
Training Epoch: 11 [11776/47500]	Loss: 0.3135	LR: 0.020000
Training Epoch: 11 [12032/47500]	Loss: 0.2641	LR: 0.020000
Training Epoch: 11 [12288/47500]	Loss: 0.3734	LR: 0.020000
Training Epoch: 11 [12544/47500]	Loss: 0.3127	LR: 0.020000
Training Epoch: 11 [12800/47500]	Loss: 0.3614	LR: 0.020000
Training Epoch: 11 [13056/47500]	Loss: 0.3480	LR: 0.020000
Training Epoch: 11 [13312/47500]	Loss: 0.3828	LR: 0.020000
Training Epoch: 11 [13568/47500]	Loss: 0.3312	LR: 0.020000
Training Epoch: 11 [13824/47500]	Loss: 0.3469	LR: 0.020000
Training Epoch: 11 [14080/47500]	Loss: 0.3243	LR: 0.020000
Training Epoch: 11 [14336/47500]	Loss: 0.4085	LR: 0.020000
Training Epoch: 11 [14592/47500]	Loss: 0.4331	LR: 0.020000
Training Epoch: 11 [14848/47500]	Loss: 0.3663	LR: 0.020000
Training Epoch: 11 [15104/47500]	Loss: 0.4126	LR: 0.020000
Training Epoch: 11 [15360/47500]	Loss: 0.3767	LR: 0.020000
Training Epoch: 11 [15616/47500]	Loss: 0.3849	LR: 0.020000
Training Epoch: 11 [15872/47500]	Loss: 0.5079	LR: 0.020000
Training Epoch: 11 [16128/47500]	Loss: 0.3451	LR: 0.020000
Training Epoch: 11 [16384/47500]	Loss: 0.3144	LR: 0.020000
Training Epoch: 11 [16640/47500]	Loss: 0.3453	LR: 0.020000
Training Epoch: 11 [16896/47500]	Loss: 0.4137	LR: 0.020000
Training Epoch: 11 [17152/47500]	Loss: 0.2394	LR: 0.020000
Training Epoch: 11 [17408/47500]	Loss: 0.3783	LR: 0.020000
Training Epoch: 11 [17664/47500]	Loss: 0.3194	LR: 0.020000
Training Epoch: 11 [17920/47500]	Loss: 0.3297	LR: 0.020000
Training Epoch: 11 [18176/47500]	Loss: 0.3621	LR: 0.020000
Training Epoch: 11 [18432/47500]	Loss: 0.3704	LR: 0.020000
Training Epoch: 11 [18688/47500]	Loss: 0.3808	LR: 0.020000
Training Epoch: 11 [18944/47500]	Loss: 0.3185	LR: 0.020000
Training Epoch: 11 [19200/47500]	Loss: 0.4815	LR: 0.020000
Training Epoch: 11 [19456/47500]	Loss: 0.3627	LR: 0.020000
Training Epoch: 11 [19712/47500]	Loss: 0.3326	LR: 0.020000
Training Epoch: 11 [19968/47500]	Loss: 0.3594	LR: 0.020000
Training Epoch: 11 [20224/47500]	Loss: 0.3563	LR: 0.020000
Training Epoch: 11 [20480/47500]	Loss: 0.3667	LR: 0.020000
Training Epoch: 11 [20736/47500]	Loss: 0.4401	LR: 0.020000
Training Epoch: 11 [20992/47500]	Loss: 0.3543	LR: 0.020000
Training Epoch: 11 [21248/47500]	Loss: 0.3218	LR: 0.020000
Training Epoch: 11 [21504/47500]	Loss: 0.3916	LR: 0.020000
Training Epoch: 11 [21760/47500]	Loss: 0.2779	LR: 0.020000
Training Epoch: 11 [22016/47500]	Loss: 0.4138	LR: 0.020000
Training Epoch: 11 [22272/47500]	Loss: 0.3957	LR: 0.020000
Training Epoch: 11 [22528/47500]	Loss: 0.4034	LR: 0.020000
Training Epoch: 11 [22784/47500]	Loss: 0.4092	LR: 0.020000
Training Epoch: 11 [23040/47500]	Loss: 0.4432	LR: 0.020000
Training Epoch: 11 [23296/47500]	Loss: 0.4063	LR: 0.020000
Training Epoch: 11 [23552/47500]	Loss: 0.3568	LR: 0.020000
Training Epoch: 11 [23808/47500]	Loss: 0.2890	LR: 0.020000
Training Epoch: 11 [24064/47500]	Loss: 0.3278	LR: 0.020000
Training Epoch: 11 [24320/47500]	Loss: 0.3269	LR: 0.020000
Training Epoch: 11 [24576/47500]	Loss: 0.3555	LR: 0.020000
Training Epoch: 11 [24832/47500]	Loss: 0.3048	LR: 0.020000
Training Epoch: 11 [25088/47500]	Loss: 0.3861	LR: 0.020000
Training Epoch: 11 [25344/47500]	Loss: 0.2836	LR: 0.020000
Training Epoch: 11 [25600/47500]	Loss: 0.4549	LR: 0.020000
Training Epoch: 11 [25856/47500]	Loss: 0.4029	LR: 0.020000
Training Epoch: 11 [26112/47500]	Loss: 0.3663	LR: 0.020000
Training Epoch: 11 [26368/47500]	Loss: 0.4554	LR: 0.020000
Training Epoch: 11 [26624/47500]	Loss: 0.3877	LR: 0.020000
Training Epoch: 11 [26880/47500]	Loss: 0.3314	LR: 0.020000
Training Epoch: 11 [27136/47500]	Loss: 0.3374	LR: 0.020000
Training Epoch: 11 [27392/47500]	Loss: 0.3218	LR: 0.020000
Training Epoch: 11 [27648/47500]	Loss: 0.3104	LR: 0.020000
Training Epoch: 11 [27904/47500]	Loss: 0.4258	LR: 0.020000
Training Epoch: 11 [28160/47500]	Loss: 0.3603	LR: 0.020000
Training Epoch: 11 [28416/47500]	Loss: 0.3499	LR: 0.020000
Training Epoch: 11 [28672/47500]	Loss: 0.4860	LR: 0.020000
Training Epoch: 11 [28928/47500]	Loss: 0.3906	LR: 0.020000
Training Epoch: 11 [29184/47500]	Loss: 0.4337	LR: 0.020000
Training Epoch: 11 [29440/47500]	Loss: 0.4354	LR: 0.020000
Training Epoch: 11 [29696/47500]	Loss: 0.3413	LR: 0.020000
Training Epoch: 11 [29952/47500]	Loss: 0.3709	LR: 0.020000
Training Epoch: 11 [30208/47500]	Loss: 0.3515	LR: 0.020000
Training Epoch: 11 [30464/47500]	Loss: 0.3087	LR: 0.020000
Training Epoch: 11 [30720/47500]	Loss: 0.4022	LR: 0.020000
Training Epoch: 11 [30976/47500]	Loss: 0.3747	LR: 0.020000
Training Epoch: 11 [31232/47500]	Loss: 0.3699	LR: 0.020000
Training Epoch: 11 [31488/47500]	Loss: 0.3484	LR: 0.020000
Training Epoch: 11 [31744/47500]	Loss: 0.3916	LR: 0.020000
Training Epoch: 11 [32000/47500]	Loss: 0.3473	LR: 0.020000
Training Epoch: 11 [32256/47500]	Loss: 0.3135	LR: 0.020000
Training Epoch: 11 [32512/47500]	Loss: 0.3467	LR: 0.020000
Training Epoch: 11 [32768/47500]	Loss: 0.3340	LR: 0.020000
Training Epoch: 11 [33024/47500]	Loss: 0.3480	LR: 0.020000
Training Epoch: 11 [33280/47500]	Loss: 0.3295	LR: 0.020000
Training Epoch: 11 [33536/47500]	Loss: 0.3323	LR: 0.020000
Training Epoch: 11 [33792/47500]	Loss: 0.3860	LR: 0.020000
Training Epoch: 11 [34048/47500]	Loss: 0.3677	LR: 0.020000
Training Epoch: 11 [34304/47500]	Loss: 0.3863	LR: 0.020000
Training Epoch: 11 [34560/47500]	Loss: 0.3877	LR: 0.020000
Training Epoch: 11 [34816/47500]	Loss: 0.3973	LR: 0.020000
Training Epoch: 11 [35072/47500]	Loss: 0.3887	LR: 0.020000
Training Epoch: 11 [35328/47500]	Loss: 0.3837	LR: 0.020000
Training Epoch: 11 [35584/47500]	Loss: 0.3305	LR: 0.020000
Training Epoch: 11 [35840/47500]	Loss: 0.3507	LR: 0.020000
Training Epoch: 11 [36096/47500]	Loss: 0.4204	LR: 0.020000
Training Epoch: 11 [36352/47500]	Loss: 0.4017	LR: 0.020000
Training Epoch: 11 [36608/47500]	Loss: 0.3864	LR: 0.020000
Training Epoch: 11 [36864/47500]	Loss: 0.3156	LR: 0.020000
Training Epoch: 11 [37120/47500]	Loss: 0.3238	LR: 0.020000
Training Epoch: 11 [37376/47500]	Loss: 0.3820	LR: 0.020000
Training Epoch: 11 [37632/47500]	Loss: 0.4088	LR: 0.020000
Training Epoch: 11 [37888/47500]	Loss: 0.4111	LR: 0.020000
Training Epoch: 11 [38144/47500]	Loss: 0.3647	LR: 0.020000
Training Epoch: 11 [38400/47500]	Loss: 0.4126	LR: 0.020000
Training Epoch: 11 [38656/47500]	Loss: 0.3380	LR: 0.020000
Training Epoch: 11 [38912/47500]	Loss: 0.2830	LR: 0.020000
Training Epoch: 11 [39168/47500]	Loss: 0.3943	LR: 0.020000
Training Epoch: 11 [39424/47500]	Loss: 0.3798	LR: 0.020000
Training Epoch: 11 [39680/47500]	Loss: 0.3482	LR: 0.020000
Training Epoch: 11 [39936/47500]	Loss: 0.3617	LR: 0.020000
Training Epoch: 11 [40192/47500]	Loss: 0.4336	LR: 0.020000
Training Epoch: 11 [40448/47500]	Loss: 0.4015	LR: 0.020000
Training Epoch: 11 [40704/47500]	Loss: 0.3143	LR: 0.020000
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Training Epoch: 11 [47360/47500]	Loss: 0.3617	LR: 0.020000
Training Epoch: 11 [47500/47500]	Loss: 0.6054	LR: 0.020000
Epoch 11 - Average Train Loss: 0.3627, Train Accuracy: 0.8735
Epoch 11 training time consumed: 28.59s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0015, Accuracy: 0.8707, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_10h_09m_25s/ResNet18-Cifar10-seed3-ret50-11-best.pth
Training Epoch: 12 [256/47500]	Loss: 0.3101	LR: 0.004000
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Training Epoch: 12 [47360/47500]	Loss: 0.3034	LR: 0.004000
Training Epoch: 12 [47500/47500]	Loss: 0.3771	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3125, Train Accuracy: 0.8920
Epoch 12 training time consumed: 28.61s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0014, Accuracy: 0.8851, Time consumed:1.01s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_10h_09m_25s/ResNet18-Cifar10-seed3-ret50-12-best.pth
Training Epoch: 13 [256/47500]	Loss: 0.3158	LR: 0.004000
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Training Epoch: 13 [47500/47500]	Loss: 0.2955	LR: 0.004000
Epoch 13 - Average Train Loss: 0.2968, Train Accuracy: 0.8971
Epoch 13 training time consumed: 28.70s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0014, Accuracy: 0.8869, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_10h_09m_25s/ResNet18-Cifar10-seed3-ret50-13-best.pth
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Training Epoch: 14 [47500/47500]	Loss: 0.3140	LR: 0.004000
Epoch 14 - Average Train Loss: 0.2867, Train Accuracy: 0.9007
Epoch 14 training time consumed: 28.91s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0014, Accuracy: 0.8869, Time consumed:1.02s
Training Epoch: 15 [256/47500]	Loss: 0.3558	LR: 0.004000
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Training Epoch: 15 [47500/47500]	Loss: 0.2327	LR: 0.004000
Epoch 15 - Average Train Loss: 0.2834, Train Accuracy: 0.9013
Epoch 15 training time consumed: 28.91s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0013, Accuracy: 0.8893, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_10h_09m_25s/ResNet18-Cifar10-seed3-ret50-15-best.pth
Training Epoch: 16 [256/47500]	Loss: 0.2532	LR: 0.000800
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Training Epoch: 16 [19968/47500]	Loss: 0.3065	LR: 0.000800
Training Epoch: 16 [20224/47500]	Loss: 0.2664	LR: 0.000800
Training Epoch: 16 [20480/47500]	Loss: 0.2263	LR: 0.000800
Training Epoch: 16 [20736/47500]	Loss: 0.2787	LR: 0.000800
Training Epoch: 16 [20992/47500]	Loss: 0.2416	LR: 0.000800
Training Epoch: 16 [21248/47500]	Loss: 0.2654	LR: 0.000800
Training Epoch: 16 [21504/47500]	Loss: 0.2203	LR: 0.000800
Training Epoch: 16 [21760/47500]	Loss: 0.3083	LR: 0.000800
Training Epoch: 16 [22016/47500]	Loss: 0.2637	LR: 0.000800
Training Epoch: 16 [22272/47500]	Loss: 0.3072	LR: 0.000800
Training Epoch: 16 [22528/47500]	Loss: 0.3192	LR: 0.000800
Training Epoch: 16 [22784/47500]	Loss: 0.2818	LR: 0.000800
Training Epoch: 16 [23040/47500]	Loss: 0.2506	LR: 0.000800
Training Epoch: 16 [23296/47500]	Loss: 0.2145	LR: 0.000800
Training Epoch: 16 [23552/47500]	Loss: 0.2597	LR: 0.000800
Training Epoch: 16 [23808/47500]	Loss: 0.2359	LR: 0.000800
Training Epoch: 16 [24064/47500]	Loss: 0.2411	LR: 0.000800
Training Epoch: 16 [24320/47500]	Loss: 0.2540	LR: 0.000800
Training Epoch: 16 [24576/47500]	Loss: 0.3159	LR: 0.000800
Training Epoch: 16 [24832/47500]	Loss: 0.3301	LR: 0.000800
Training Epoch: 16 [25088/47500]	Loss: 0.2529	LR: 0.000800
Training Epoch: 16 [25344/47500]	Loss: 0.2237	LR: 0.000800
Training Epoch: 16 [25600/47500]	Loss: 0.2243	LR: 0.000800
Training Epoch: 16 [25856/47500]	Loss: 0.2083	LR: 0.000800
Training Epoch: 16 [26112/47500]	Loss: 0.1804	LR: 0.000800
Training Epoch: 16 [26368/47500]	Loss: 0.1986	LR: 0.000800
Training Epoch: 16 [26624/47500]	Loss: 0.2605	LR: 0.000800
Training Epoch: 16 [26880/47500]	Loss: 0.2592	LR: 0.000800
Training Epoch: 16 [27136/47500]	Loss: 0.2325	LR: 0.000800
Training Epoch: 16 [27392/47500]	Loss: 0.3355	LR: 0.000800
Training Epoch: 16 [27648/47500]	Loss: 0.2211	LR: 0.000800
Training Epoch: 16 [27904/47500]	Loss: 0.3216	LR: 0.000800
Training Epoch: 16 [28160/47500]	Loss: 0.2512	LR: 0.000800
Training Epoch: 16 [28416/47500]	Loss: 0.2451	LR: 0.000800
Training Epoch: 16 [28672/47500]	Loss: 0.2858	LR: 0.000800
Training Epoch: 16 [28928/47500]	Loss: 0.2727	LR: 0.000800
Training Epoch: 16 [29184/47500]	Loss: 0.2939	LR: 0.000800
Training Epoch: 16 [29440/47500]	Loss: 0.1851	LR: 0.000800
Training Epoch: 16 [29696/47500]	Loss: 0.2418	LR: 0.000800
Training Epoch: 16 [29952/47500]	Loss: 0.2740	LR: 0.000800
Training Epoch: 16 [30208/47500]	Loss: 0.3029	LR: 0.000800
Training Epoch: 16 [30464/47500]	Loss: 0.2339	LR: 0.000800
Training Epoch: 16 [30720/47500]	Loss: 0.3012	LR: 0.000800
Training Epoch: 16 [30976/47500]	Loss: 0.3320	LR: 0.000800
Training Epoch: 16 [31232/47500]	Loss: 0.2672	LR: 0.000800
Training Epoch: 16 [31488/47500]	Loss: 0.2570	LR: 0.000800
Training Epoch: 16 [31744/47500]	Loss: 0.2707	LR: 0.000800
Training Epoch: 16 [32000/47500]	Loss: 0.4242	LR: 0.000800
Training Epoch: 16 [32256/47500]	Loss: 0.2521	LR: 0.000800
Training Epoch: 16 [32512/47500]	Loss: 0.2891	LR: 0.000800
Training Epoch: 16 [32768/47500]	Loss: 0.2374	LR: 0.000800
Training Epoch: 16 [33024/47500]	Loss: 0.2889	LR: 0.000800
Training Epoch: 16 [33280/47500]	Loss: 0.2929	LR: 0.000800
Training Epoch: 16 [33536/47500]	Loss: 0.2905	LR: 0.000800
Training Epoch: 16 [33792/47500]	Loss: 0.2734	LR: 0.000800
Training Epoch: 16 [34048/47500]	Loss: 0.2477	LR: 0.000800
Training Epoch: 16 [34304/47500]	Loss: 0.2765	LR: 0.000800
Training Epoch: 16 [34560/47500]	Loss: 0.3110	LR: 0.000800
Training Epoch: 16 [34816/47500]	Loss: 0.2805	LR: 0.000800
Training Epoch: 16 [35072/47500]	Loss: 0.2630	LR: 0.000800
Training Epoch: 16 [35328/47500]	Loss: 0.2592	LR: 0.000800
Training Epoch: 16 [35584/47500]	Loss: 0.2886	LR: 0.000800
Training Epoch: 16 [35840/47500]	Loss: 0.3019	LR: 0.000800
Training Epoch: 16 [36096/47500]	Loss: 0.2588	LR: 0.000800
Training Epoch: 16 [36352/47500]	Loss: 0.2235	LR: 0.000800
Training Epoch: 16 [36608/47500]	Loss: 0.2068	LR: 0.000800
Training Epoch: 16 [36864/47500]	Loss: 0.3128	LR: 0.000800
Training Epoch: 16 [37120/47500]	Loss: 0.2420	LR: 0.000800
Training Epoch: 16 [37376/47500]	Loss: 0.2359	LR: 0.000800
Training Epoch: 16 [37632/47500]	Loss: 0.2600	LR: 0.000800
Training Epoch: 16 [37888/47500]	Loss: 0.2484	LR: 0.000800
Training Epoch: 16 [38144/47500]	Loss: 0.2770	LR: 0.000800
Training Epoch: 16 [38400/47500]	Loss: 0.1966	LR: 0.000800
Training Epoch: 16 [38656/47500]	Loss: 0.2501	LR: 0.000800
Training Epoch: 16 [38912/47500]	Loss: 0.2599	LR: 0.000800
Training Epoch: 16 [39168/47500]	Loss: 0.2911	LR: 0.000800
Training Epoch: 16 [39424/47500]	Loss: 0.2438	LR: 0.000800
Training Epoch: 16 [39680/47500]	Loss: 0.2542	LR: 0.000800
Training Epoch: 16 [39936/47500]	Loss: 0.2388	LR: 0.000800
Training Epoch: 16 [40192/47500]	Loss: 0.2159	LR: 0.000800
Training Epoch: 16 [40448/47500]	Loss: 0.2603	LR: 0.000800
Training Epoch: 16 [40704/47500]	Loss: 0.3277	LR: 0.000800
Training Epoch: 16 [40960/47500]	Loss: 0.3176	LR: 0.000800
Training Epoch: 16 [41216/47500]	Loss: 0.2236	LR: 0.000800
Training Epoch: 16 [41472/47500]	Loss: 0.2836	LR: 0.000800
Training Epoch: 16 [41728/47500]	Loss: 0.2530	LR: 0.000800
Training Epoch: 16 [41984/47500]	Loss: 0.1555	LR: 0.000800
Training Epoch: 16 [42240/47500]	Loss: 0.2820	LR: 0.000800
Training Epoch: 16 [42496/47500]	Loss: 0.3366	LR: 0.000800
Training Epoch: 16 [42752/47500]	Loss: 0.2506	LR: 0.000800
Training Epoch: 16 [43008/47500]	Loss: 0.2354	LR: 0.000800
Training Epoch: 16 [43264/47500]	Loss: 0.2153	LR: 0.000800
Training Epoch: 16 [43520/47500]	Loss: 0.2664	LR: 0.000800
Training Epoch: 16 [43776/47500]	Loss: 0.2843	LR: 0.000800
Training Epoch: 16 [44032/47500]	Loss: 0.2728	LR: 0.000800
Training Epoch: 16 [44288/47500]	Loss: 0.2767	LR: 0.000800
Training Epoch: 16 [44544/47500]	Loss: 0.2386	LR: 0.000800
Training Epoch: 16 [44800/47500]	Loss: 0.2635	LR: 0.000800
Training Epoch: 16 [45056/47500]	Loss: 0.2419	LR: 0.000800
Training Epoch: 16 [45312/47500]	Loss: 0.2183	LR: 0.000800
Training Epoch: 16 [45568/47500]	Loss: 0.2584	LR: 0.000800
Training Epoch: 16 [45824/47500]	Loss: 0.2675	LR: 0.000800
Training Epoch: 16 [46080/47500]	Loss: 0.3491	LR: 0.000800
Training Epoch: 16 [46336/47500]	Loss: 0.3159	LR: 0.000800
Training Epoch: 16 [46592/47500]	Loss: 0.2786	LR: 0.000800
Training Epoch: 16 [46848/47500]	Loss: 0.2091	LR: 0.000800
Training Epoch: 16 [47104/47500]	Loss: 0.2187	LR: 0.000800
Training Epoch: 16 [47360/47500]	Loss: 0.3270	LR: 0.000800
Training Epoch: 16 [47500/47500]	Loss: 0.2874	LR: 0.000800
Epoch 16 - Average Train Loss: 0.2700, Train Accuracy: 0.9060
Epoch 16 training time consumed: 28.79s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0013, Accuracy: 0.8892, Time consumed:0.95s
Training Epoch: 17 [256/47500]	Loss: 0.2404	LR: 0.000800
Training Epoch: 17 [512/47500]	Loss: 0.2914	LR: 0.000800
Training Epoch: 17 [768/47500]	Loss: 0.3328	LR: 0.000800
Training Epoch: 17 [1024/47500]	Loss: 0.3287	LR: 0.000800
Training Epoch: 17 [1280/47500]	Loss: 0.2838	LR: 0.000800
Training Epoch: 17 [1536/47500]	Loss: 0.2898	LR: 0.000800
Training Epoch: 17 [1792/47500]	Loss: 0.3269	LR: 0.000800
Training Epoch: 17 [2048/47500]	Loss: 0.2779	LR: 0.000800
Training Epoch: 17 [2304/47500]	Loss: 0.2608	LR: 0.000800
Training Epoch: 17 [2560/47500]	Loss: 0.2744	LR: 0.000800
Training Epoch: 17 [2816/47500]	Loss: 0.2126	LR: 0.000800
Training Epoch: 17 [3072/47500]	Loss: 0.2286	LR: 0.000800
Training Epoch: 17 [3328/47500]	Loss: 0.3624	LR: 0.000800
Training Epoch: 17 [3584/47500]	Loss: 0.2205	LR: 0.000800
Training Epoch: 17 [3840/47500]	Loss: 0.2969	LR: 0.000800
Training Epoch: 17 [4096/47500]	Loss: 0.2662	LR: 0.000800
Training Epoch: 17 [4352/47500]	Loss: 0.2712	LR: 0.000800
Training Epoch: 17 [4608/47500]	Loss: 0.2376	LR: 0.000800
Training Epoch: 17 [4864/47500]	Loss: 0.3527	LR: 0.000800
Training Epoch: 17 [5120/47500]	Loss: 0.3116	LR: 0.000800
Training Epoch: 17 [5376/47500]	Loss: 0.2886	LR: 0.000800
Training Epoch: 17 [5632/47500]	Loss: 0.2179	LR: 0.000800
Training Epoch: 17 [5888/47500]	Loss: 0.2658	LR: 0.000800
Training Epoch: 17 [6144/47500]	Loss: 0.2758	LR: 0.000800
Training Epoch: 17 [6400/47500]	Loss: 0.2505	LR: 0.000800
Training Epoch: 17 [6656/47500]	Loss: 0.2722	LR: 0.000800
Training Epoch: 17 [6912/47500]	Loss: 0.2371	LR: 0.000800
Training Epoch: 17 [7168/47500]	Loss: 0.3776	LR: 0.000800
Training Epoch: 17 [7424/47500]	Loss: 0.2786	LR: 0.000800
Training Epoch: 17 [7680/47500]	Loss: 0.2829	LR: 0.000800
Training Epoch: 17 [7936/47500]	Loss: 0.2756	LR: 0.000800
Training Epoch: 17 [8192/47500]	Loss: 0.2703	LR: 0.000800
Training Epoch: 17 [8448/47500]	Loss: 0.2472	LR: 0.000800
Training Epoch: 17 [8704/47500]	Loss: 0.2917	LR: 0.000800
Training Epoch: 17 [8960/47500]	Loss: 0.1903	LR: 0.000800
Training Epoch: 17 [9216/47500]	Loss: 0.2731	LR: 0.000800
Training Epoch: 17 [9472/47500]	Loss: 0.2301	LR: 0.000800
Training Epoch: 17 [9728/47500]	Loss: 0.2225	LR: 0.000800
Training Epoch: 17 [9984/47500]	Loss: 0.2626	LR: 0.000800
Training Epoch: 17 [10240/47500]	Loss: 0.3113	LR: 0.000800
Training Epoch: 17 [10496/47500]	Loss: 0.2847	LR: 0.000800
Training Epoch: 17 [10752/47500]	Loss: 0.2090	LR: 0.000800
Training Epoch: 17 [11008/47500]	Loss: 0.2336	LR: 0.000800
Training Epoch: 17 [11264/47500]	Loss: 0.2910	LR: 0.000800
Training Epoch: 17 [11520/47500]	Loss: 0.2677	LR: 0.000800
Training Epoch: 17 [11776/47500]	Loss: 0.2909	LR: 0.000800
Training Epoch: 17 [12032/47500]	Loss: 0.2694	LR: 0.000800
Training Epoch: 17 [12288/47500]	Loss: 0.2453	LR: 0.000800
Training Epoch: 17 [12544/47500]	Loss: 0.2743	LR: 0.000800
Training Epoch: 17 [12800/47500]	Loss: 0.2680	LR: 0.000800
Training Epoch: 17 [13056/47500]	Loss: 0.1786	LR: 0.000800
Training Epoch: 17 [13312/47500]	Loss: 0.2970	LR: 0.000800
Training Epoch: 17 [13568/47500]	Loss: 0.2749	LR: 0.000800
Training Epoch: 17 [13824/47500]	Loss: 0.2821	LR: 0.000800
Training Epoch: 17 [14080/47500]	Loss: 0.2264	LR: 0.000800
Training Epoch: 17 [14336/47500]	Loss: 0.2990	LR: 0.000800
Training Epoch: 17 [14592/47500]	Loss: 0.2285	LR: 0.000800
Training Epoch: 17 [14848/47500]	Loss: 0.3253	LR: 0.000800
Training Epoch: 17 [15104/47500]	Loss: 0.2200	LR: 0.000800
Training Epoch: 17 [15360/47500]	Loss: 0.3531	LR: 0.000800
Training Epoch: 17 [15616/47500]	Loss: 0.2150	LR: 0.000800
Training Epoch: 17 [15872/47500]	Loss: 0.2767	LR: 0.000800
Training Epoch: 17 [16128/47500]	Loss: 0.2937	LR: 0.000800
Training Epoch: 17 [16384/47500]	Loss: 0.2894	LR: 0.000800
Training Epoch: 17 [16640/47500]	Loss: 0.2015	LR: 0.000800
Training Epoch: 17 [16896/47500]	Loss: 0.2623	LR: 0.000800
Training Epoch: 17 [17152/47500]	Loss: 0.1745	LR: 0.000800
Training Epoch: 17 [17408/47500]	Loss: 0.2823	LR: 0.000800
Training Epoch: 17 [17664/47500]	Loss: 0.2826	LR: 0.000800
Training Epoch: 17 [17920/47500]	Loss: 0.1983	LR: 0.000800
Training Epoch: 17 [18176/47500]	Loss: 0.2102	LR: 0.000800
Training Epoch: 17 [18432/47500]	Loss: 0.3335	LR: 0.000800
Training Epoch: 17 [18688/47500]	Loss: 0.2865	LR: 0.000800
Training Epoch: 17 [18944/47500]	Loss: 0.2311	LR: 0.000800
Training Epoch: 17 [19200/47500]	Loss: 0.2468	LR: 0.000800
Training Epoch: 17 [19456/47500]	Loss: 0.3017	LR: 0.000800
Training Epoch: 17 [19712/47500]	Loss: 0.1989	LR: 0.000800
Training Epoch: 17 [19968/47500]	Loss: 0.2544	LR: 0.000800
Training Epoch: 17 [20224/47500]	Loss: 0.2475	LR: 0.000800
Training Epoch: 17 [20480/47500]	Loss: 0.2733	LR: 0.000800
Training Epoch: 17 [20736/47500]	Loss: 0.2848	LR: 0.000800
Training Epoch: 17 [20992/47500]	Loss: 0.2987	LR: 0.000800
Training Epoch: 17 [21248/47500]	Loss: 0.2791	LR: 0.000800
Training Epoch: 17 [21504/47500]	Loss: 0.2734	LR: 0.000800
Training Epoch: 17 [21760/47500]	Loss: 0.2240	LR: 0.000800
Training Epoch: 17 [22016/47500]	Loss: 0.2048	LR: 0.000800
Training Epoch: 17 [22272/47500]	Loss: 0.3021	LR: 0.000800
Training Epoch: 17 [22528/47500]	Loss: 0.2269	LR: 0.000800
Training Epoch: 17 [22784/47500]	Loss: 0.3109	LR: 0.000800
Training Epoch: 17 [23040/47500]	Loss: 0.2318	LR: 0.000800
Training Epoch: 17 [23296/47500]	Loss: 0.2523	LR: 0.000800
Training Epoch: 17 [23552/47500]	Loss: 0.2941	LR: 0.000800
Training Epoch: 17 [23808/47500]	Loss: 0.2763	LR: 0.000800
Training Epoch: 17 [24064/47500]	Loss: 0.2863	LR: 0.000800
Training Epoch: 17 [24320/47500]	Loss: 0.3220	LR: 0.000800
Training Epoch: 17 [24576/47500]	Loss: 0.2345	LR: 0.000800
Training Epoch: 17 [24832/47500]	Loss: 0.2265	LR: 0.000800
Training Epoch: 17 [25088/47500]	Loss: 0.3333	LR: 0.000800
Training Epoch: 17 [25344/47500]	Loss: 0.2453	LR: 0.000800
Training Epoch: 17 [25600/47500]	Loss: 0.2993	LR: 0.000800
Training Epoch: 17 [25856/47500]	Loss: 0.2907	LR: 0.000800
Training Epoch: 17 [26112/47500]	Loss: 0.2569	LR: 0.000800
Training Epoch: 17 [26368/47500]	Loss: 0.2660	LR: 0.000800
Training Epoch: 17 [26624/47500]	Loss: 0.2780	LR: 0.000800
Training Epoch: 17 [26880/47500]	Loss: 0.2668	LR: 0.000800
Training Epoch: 17 [27136/47500]	Loss: 0.2655	LR: 0.000800
Training Epoch: 17 [27392/47500]	Loss: 0.2728	LR: 0.000800
Training Epoch: 17 [27648/47500]	Loss: 0.2936	LR: 0.000800
Training Epoch: 17 [27904/47500]	Loss: 0.2334	LR: 0.000800
Training Epoch: 17 [28160/47500]	Loss: 0.3402	LR: 0.000800
Training Epoch: 17 [28416/47500]	Loss: 0.2226	LR: 0.000800
Training Epoch: 17 [28672/47500]	Loss: 0.2784	LR: 0.000800
Training Epoch: 17 [28928/47500]	Loss: 0.2750	LR: 0.000800
Training Epoch: 17 [29184/47500]	Loss: 0.3710	LR: 0.000800
Training Epoch: 17 [29440/47500]	Loss: 0.2939	LR: 0.000800
Training Epoch: 17 [29696/47500]	Loss: 0.2617	LR: 0.000800
Training Epoch: 17 [29952/47500]	Loss: 0.2420	LR: 0.000800
Training Epoch: 17 [30208/47500]	Loss: 0.2492	LR: 0.000800
Training Epoch: 17 [30464/47500]	Loss: 0.2055	LR: 0.000800
Training Epoch: 17 [30720/47500]	Loss: 0.2749	LR: 0.000800
Training Epoch: 17 [30976/47500]	Loss: 0.2338	LR: 0.000800
Training Epoch: 17 [31232/47500]	Loss: 0.2524	LR: 0.000800
Training Epoch: 17 [31488/47500]	Loss: 0.2758	LR: 0.000800
Training Epoch: 17 [31744/47500]	Loss: 0.3204	LR: 0.000800
Training Epoch: 17 [32000/47500]	Loss: 0.3119	LR: 0.000800
Training Epoch: 17 [32256/47500]	Loss: 0.3007	LR: 0.000800
Training Epoch: 17 [32512/47500]	Loss: 0.2416	LR: 0.000800
Training Epoch: 17 [32768/47500]	Loss: 0.2369	LR: 0.000800
Training Epoch: 17 [33024/47500]	Loss: 0.2782	LR: 0.000800
Training Epoch: 17 [33280/47500]	Loss: 0.2323	LR: 0.000800
Training Epoch: 17 [33536/47500]	Loss: 0.2084	LR: 0.000800
Training Epoch: 17 [33792/47500]	Loss: 0.3386	LR: 0.000800
Training Epoch: 17 [34048/47500]	Loss: 0.2658	LR: 0.000800
Training Epoch: 17 [34304/47500]	Loss: 0.2207	LR: 0.000800
Training Epoch: 17 [34560/47500]	Loss: 0.1920	LR: 0.000800
Training Epoch: 17 [34816/47500]	Loss: 0.2630	LR: 0.000800
Training Epoch: 17 [35072/47500]	Loss: 0.2561	LR: 0.000800
Training Epoch: 17 [35328/47500]	Loss: 0.1733	LR: 0.000800
Training Epoch: 17 [35584/47500]	Loss: 0.1889	LR: 0.000800
Training Epoch: 17 [35840/47500]	Loss: 0.2668	LR: 0.000800
Training Epoch: 17 [36096/47500]	Loss: 0.2469	LR: 0.000800
Training Epoch: 17 [36352/47500]	Loss: 0.2443	LR: 0.000800
Training Epoch: 17 [36608/47500]	Loss: 0.1975	LR: 0.000800
Training Epoch: 17 [36864/47500]	Loss: 0.3210	LR: 0.000800
Training Epoch: 17 [37120/47500]	Loss: 0.2875	LR: 0.000800
Training Epoch: 17 [37376/47500]	Loss: 0.2807	LR: 0.000800
Training Epoch: 17 [37632/47500]	Loss: 0.2229	LR: 0.000800
Training Epoch: 17 [37888/47500]	Loss: 0.2670	LR: 0.000800
Training Epoch: 17 [38144/47500]	Loss: 0.3462	LR: 0.000800
Training Epoch: 17 [38400/47500]	Loss: 0.3901	LR: 0.000800
Training Epoch: 17 [38656/47500]	Loss: 0.3540	LR: 0.000800
Training Epoch: 17 [38912/47500]	Loss: 0.2052	LR: 0.000800
Training Epoch: 17 [39168/47500]	Loss: 0.2638	LR: 0.000800
Training Epoch: 17 [39424/47500]	Loss: 0.3653	LR: 0.000800
Training Epoch: 17 [39680/47500]	Loss: 0.3281	LR: 0.000800
Training Epoch: 17 [39936/47500]	Loss: 0.3389	LR: 0.000800
Training Epoch: 17 [40192/47500]	Loss: 0.3774	LR: 0.000800
Training Epoch: 17 [40448/47500]	Loss: 0.2460	LR: 0.000800
Training Epoch: 17 [40704/47500]	Loss: 0.2746	LR: 0.000800
Training Epoch: 17 [40960/47500]	Loss: 0.3016	LR: 0.000800
Training Epoch: 17 [41216/47500]	Loss: 0.1923	LR: 0.000800
Training Epoch: 17 [41472/47500]	Loss: 0.3224	LR: 0.000800
Training Epoch: 17 [41728/47500]	Loss: 0.3009	LR: 0.000800
Training Epoch: 17 [41984/47500]	Loss: 0.3118	LR: 0.000800
Training Epoch: 17 [42240/47500]	Loss: 0.2178	LR: 0.000800
Training Epoch: 17 [42496/47500]	Loss: 0.2735	LR: 0.000800
Training Epoch: 17 [42752/47500]	Loss: 0.2337	LR: 0.000800
Training Epoch: 17 [43008/47500]	Loss: 0.2425	LR: 0.000800
Training Epoch: 17 [43264/47500]	Loss: 0.2329	LR: 0.000800
Training Epoch: 17 [43520/47500]	Loss: 0.2624	LR: 0.000800
Training Epoch: 17 [43776/47500]	Loss: 0.2499	LR: 0.000800
Training Epoch: 17 [44032/47500]	Loss: 0.2565	LR: 0.000800
Training Epoch: 17 [44288/47500]	Loss: 0.2694	LR: 0.000800
Training Epoch: 17 [44544/47500]	Loss: 0.3328	LR: 0.000800
Training Epoch: 17 [44800/47500]	Loss: 0.2635	LR: 0.000800
Training Epoch: 17 [45056/47500]	Loss: 0.2463	LR: 0.000800
Training Epoch: 17 [45312/47500]	Loss: 0.2109	LR: 0.000800
Training Epoch: 17 [45568/47500]	Loss: 0.2972	LR: 0.000800
Training Epoch: 17 [45824/47500]	Loss: 0.2588	LR: 0.000800
Training Epoch: 17 [46080/47500]	Loss: 0.2542	LR: 0.000800
Training Epoch: 17 [46336/47500]	Loss: 0.3039	LR: 0.000800
Training Epoch: 17 [46592/47500]	Loss: 0.2936	LR: 0.000800
Training Epoch: 17 [46848/47500]	Loss: 0.2564	LR: 0.000800
Training Epoch: 17 [47104/47500]	Loss: 0.2105	LR: 0.000800
Training Epoch: 17 [47360/47500]	Loss: 0.3724	LR: 0.000800
Training Epoch: 17 [47500/47500]	Loss: 0.3217	LR: 0.000800
Epoch 17 - Average Train Loss: 0.2693, Train Accuracy: 0.9057
Epoch 17 training time consumed: 28.64s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0013, Accuracy: 0.8902, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_10h_09m_25s/ResNet18-Cifar10-seed3-ret50-17-best.pth
Training Epoch: 18 [256/47500]	Loss: 0.2862	LR: 0.000800
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Training Epoch: 18 [47500/47500]	Loss: 0.2200	LR: 0.000800
Epoch 18 - Average Train Loss: 0.2664, Train Accuracy: 0.9076
Epoch 18 training time consumed: 28.70s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0013, Accuracy: 0.8920, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_10h_09m_25s/ResNet18-Cifar10-seed3-ret50-18-best.pth
Training Epoch: 19 [256/47500]	Loss: 0.2830	LR: 0.000800
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Training Epoch: 19 [45312/47500]	Loss: 0.2571	LR: 0.000800
Training Epoch: 19 [45568/47500]	Loss: 0.2535	LR: 0.000800
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Training Epoch: 19 [47360/47500]	Loss: 0.2497	LR: 0.000800
Training Epoch: 19 [47500/47500]	Loss: 0.2338	LR: 0.000800
Epoch 19 - Average Train Loss: 0.2674, Train Accuracy: 0.9061
Epoch 19 training time consumed: 29.14s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0013, Accuracy: 0.8927, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_10h_09m_25s/ResNet18-Cifar10-seed3-ret50-19-best.pth
Training Epoch: 20 [256/47500]	Loss: 0.2455	LR: 0.000800
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Training Epoch: 20 [46336/47500]	Loss: 0.2912	LR: 0.000800
Training Epoch: 20 [46592/47500]	Loss: 0.2601	LR: 0.000800
Training Epoch: 20 [46848/47500]	Loss: 0.3709	LR: 0.000800
Training Epoch: 20 [47104/47500]	Loss: 0.2648	LR: 0.000800
Training Epoch: 20 [47360/47500]	Loss: 0.3372	LR: 0.000800
Training Epoch: 20 [47500/47500]	Loss: 0.2772	LR: 0.000800
Epoch 20 - Average Train Loss: 0.2614, Train Accuracy: 0.9098
Epoch 20 training time consumed: 28.74s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0013, Accuracy: 0.8908, Time consumed:0.89s
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: 89.189453125
Retain Accuracy: 91.31959533691406
Zero-Retain Forget (ZRF): 0.8321501016616821
Membership Inference Attack (MIA): 0.6224
Forget vs Retain Membership Inference Attack (MIA): 0.514
Forget vs Test Membership Inference Attack (MIA): 0.546
Test vs Retain Membership Inference Attack (MIA): 0.50225
Train vs Test Membership Inference Attack (MIA): 0.52075
Forget Set Accuracy (Df): 87.83402252197266
Method Execution Time: 1533.33 seconds
