hello
hello

📌 Retain class distribution for seed 1:
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 1:
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: 2.3459	LR: 0.000000
Training Epoch: 1 [512/47500]	Loss: 2.3027	LR: 0.000538
Training Epoch: 1 [768/47500]	Loss: 2.3185	LR: 0.001075
Training Epoch: 1 [1024/47500]	Loss: 2.3435	LR: 0.001613
Training Epoch: 1 [1280/47500]	Loss: 2.3266	LR: 0.002151
Training Epoch: 1 [1536/47500]	Loss: 2.3088	LR: 0.002688
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Training Epoch: 1 [2048/47500]	Loss: 2.3047	LR: 0.003763
Training Epoch: 1 [2304/47500]	Loss: 2.2674	LR: 0.004301
Training Epoch: 1 [2560/47500]	Loss: 2.2241	LR: 0.004839
Training Epoch: 1 [2816/47500]	Loss: 2.2105	LR: 0.005376
Training Epoch: 1 [3072/47500]	Loss: 2.2076	LR: 0.005914
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Training Epoch: 1 [9472/47500]	Loss: 1.8546	LR: 0.019355
Training Epoch: 1 [9728/47500]	Loss: 1.8380	LR: 0.019892
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Training Epoch: 1 [10240/47500]	Loss: 1.7362	LR: 0.020968
Training Epoch: 1 [10496/47500]	Loss: 1.7613	LR: 0.021505
Training Epoch: 1 [10752/47500]	Loss: 1.7049	LR: 0.022043
Training Epoch: 1 [11008/47500]	Loss: 1.8540	LR: 0.022581
Training Epoch: 1 [11264/47500]	Loss: 1.7454	LR: 0.023118
Training Epoch: 1 [11520/47500]	Loss: 1.7874	LR: 0.023656
Training Epoch: 1 [11776/47500]	Loss: 1.7185	LR: 0.024194
Training Epoch: 1 [12032/47500]	Loss: 1.7804	LR: 0.024731
Training Epoch: 1 [12288/47500]	Loss: 1.7468	LR: 0.025269
Training Epoch: 1 [12544/47500]	Loss: 1.6949	LR: 0.025806
Training Epoch: 1 [12800/47500]	Loss: 1.7404	LR: 0.026344
Training Epoch: 1 [13056/47500]	Loss: 1.7234	LR: 0.026882
Training Epoch: 1 [13312/47500]	Loss: 1.7010	LR: 0.027419
Training Epoch: 1 [13568/47500]	Loss: 1.7475	LR: 0.027957
Training Epoch: 1 [13824/47500]	Loss: 1.7610	LR: 0.028495
Training Epoch: 1 [14080/47500]	Loss: 1.6372	LR: 0.029032
Training Epoch: 1 [14336/47500]	Loss: 1.7002	LR: 0.029570
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Training Epoch: 1 [15872/47500]	Loss: 1.7055	LR: 0.032796
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Training Epoch: 1 [16384/47500]	Loss: 1.7497	LR: 0.033871
Training Epoch: 1 [16640/47500]	Loss: 1.6555	LR: 0.034409
Training Epoch: 1 [16896/47500]	Loss: 1.6355	LR: 0.034946
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Training Epoch: 1 [17408/47500]	Loss: 1.8037	LR: 0.036022
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Training Epoch: 1 [18944/47500]	Loss: 1.7229	LR: 0.039247
Training Epoch: 1 [19200/47500]	Loss: 1.5707	LR: 0.039785
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Training Epoch: 1 [20224/47500]	Loss: 1.6133	LR: 0.041935
Training Epoch: 1 [20480/47500]	Loss: 1.5186	LR: 0.042473
Training Epoch: 1 [20736/47500]	Loss: 1.6095	LR: 0.043011
Training Epoch: 1 [20992/47500]	Loss: 1.5515	LR: 0.043548
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Training Epoch: 1 [21760/47500]	Loss: 1.6033	LR: 0.045161
Training Epoch: 1 [22016/47500]	Loss: 1.5205	LR: 0.045699
Training Epoch: 1 [22272/47500]	Loss: 1.5972	LR: 0.046237
Training Epoch: 1 [22528/47500]	Loss: 1.6354	LR: 0.046774
Training Epoch: 1 [22784/47500]	Loss: 1.5385	LR: 0.047312
Training Epoch: 1 [23040/47500]	Loss: 1.5979	LR: 0.047849
Training Epoch: 1 [23296/47500]	Loss: 1.6330	LR: 0.048387
Training Epoch: 1 [23552/47500]	Loss: 1.5770	LR: 0.048925
Training Epoch: 1 [23808/47500]	Loss: 1.6155	LR: 0.049462
Training Epoch: 1 [24064/47500]	Loss: 1.5236	LR: 0.050000
Training Epoch: 1 [24320/47500]	Loss: 1.5011	LR: 0.050538
Training Epoch: 1 [24576/47500]	Loss: 1.5869	LR: 0.051075
Training Epoch: 1 [24832/47500]	Loss: 1.4992	LR: 0.051613
Training Epoch: 1 [25088/47500]	Loss: 1.5168	LR: 0.052151
Training Epoch: 1 [25344/47500]	Loss: 1.4527	LR: 0.052688
Training Epoch: 1 [25600/47500]	Loss: 1.6398	LR: 0.053226
Training Epoch: 1 [25856/47500]	Loss: 1.4895	LR: 0.053763
Training Epoch: 1 [26112/47500]	Loss: 1.5294	LR: 0.054301
Training Epoch: 1 [26368/47500]	Loss: 1.5235	LR: 0.054839
Training Epoch: 1 [26624/47500]	Loss: 1.4837	LR: 0.055376
Training Epoch: 1 [26880/47500]	Loss: 1.5418	LR: 0.055914
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Training Epoch: 1 [27392/47500]	Loss: 1.5403	LR: 0.056989
Training Epoch: 1 [27648/47500]	Loss: 1.5075	LR: 0.057527
Training Epoch: 1 [27904/47500]	Loss: 1.5070	LR: 0.058065
Training Epoch: 1 [28160/47500]	Loss: 1.5227	LR: 0.058602
Training Epoch: 1 [28416/47500]	Loss: 1.4299	LR: 0.059140
Training Epoch: 1 [28672/47500]	Loss: 1.5185	LR: 0.059677
Training Epoch: 1 [28928/47500]	Loss: 1.4258	LR: 0.060215
Training Epoch: 1 [29184/47500]	Loss: 1.4720	LR: 0.060753
Training Epoch: 1 [29440/47500]	Loss: 1.3966	LR: 0.061290
Training Epoch: 1 [29696/47500]	Loss: 1.5568	LR: 0.061828
Training Epoch: 1 [29952/47500]	Loss: 1.4707	LR: 0.062366
Training Epoch: 1 [30208/47500]	Loss: 1.5084	LR: 0.062903
Training Epoch: 1 [30464/47500]	Loss: 1.4711	LR: 0.063441
Training Epoch: 1 [30720/47500]	Loss: 1.4966	LR: 0.063978
Training Epoch: 1 [30976/47500]	Loss: 1.4593	LR: 0.064516
Training Epoch: 1 [31232/47500]	Loss: 1.4184	LR: 0.065054
Training Epoch: 1 [31488/47500]	Loss: 1.5574	LR: 0.065591
Training Epoch: 1 [31744/47500]	Loss: 1.6269	LR: 0.066129
Training Epoch: 1 [32000/47500]	Loss: 1.4213	LR: 0.066667
Training Epoch: 1 [32256/47500]	Loss: 1.5312	LR: 0.067204
Training Epoch: 1 [32512/47500]	Loss: 1.5512	LR: 0.067742
Training Epoch: 1 [32768/47500]	Loss: 1.5426	LR: 0.068280
Training Epoch: 1 [33024/47500]	Loss: 1.3366	LR: 0.068817
Training Epoch: 1 [33280/47500]	Loss: 1.3763	LR: 0.069355
Training Epoch: 1 [33536/47500]	Loss: 1.4831	LR: 0.069892
Training Epoch: 1 [33792/47500]	Loss: 1.5687	LR: 0.070430
Training Epoch: 1 [34048/47500]	Loss: 1.4896	LR: 0.070968
Training Epoch: 1 [34304/47500]	Loss: 1.4918	LR: 0.071505
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Training Epoch: 1 [34816/47500]	Loss: 1.4117	LR: 0.072581
Training Epoch: 1 [35072/47500]	Loss: 1.5094	LR: 0.073118
Training Epoch: 1 [35328/47500]	Loss: 1.4565	LR: 0.073656
Training Epoch: 1 [35584/47500]	Loss: 1.4533	LR: 0.074194
Training Epoch: 1 [35840/47500]	Loss: 1.4696	LR: 0.074731
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Training Epoch: 1 [36352/47500]	Loss: 1.2739	LR: 0.075806
Training Epoch: 1 [36608/47500]	Loss: 1.3396	LR: 0.076344
Training Epoch: 1 [36864/47500]	Loss: 1.3996	LR: 0.076882
Training Epoch: 1 [37120/47500]	Loss: 1.4873	LR: 0.077419
Training Epoch: 1 [37376/47500]	Loss: 1.4097	LR: 0.077957
Training Epoch: 1 [37632/47500]	Loss: 1.4261	LR: 0.078495
Training Epoch: 1 [37888/47500]	Loss: 1.3466	LR: 0.079032
Training Epoch: 1 [38144/47500]	Loss: 1.4272	LR: 0.079570
Training Epoch: 1 [38400/47500]	Loss: 1.4425	LR: 0.080108
Training Epoch: 1 [38656/47500]	Loss: 1.2733	LR: 0.080645
Training Epoch: 1 [38912/47500]	Loss: 1.3931	LR: 0.081183
Training Epoch: 1 [39168/47500]	Loss: 1.3706	LR: 0.081720
Training Epoch: 1 [39424/47500]	Loss: 1.3724	LR: 0.082258
Training Epoch: 1 [39680/47500]	Loss: 1.3913	LR: 0.082796
Training Epoch: 1 [39936/47500]	Loss: 1.4041	LR: 0.083333
Training Epoch: 1 [40192/47500]	Loss: 1.3953	LR: 0.083871
Training Epoch: 1 [40448/47500]	Loss: 1.3548	LR: 0.084409
Training Epoch: 1 [40704/47500]	Loss: 1.3944	LR: 0.084946
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Training Epoch: 1 [41216/47500]	Loss: 1.2790	LR: 0.086022
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Training Epoch: 1 [41728/47500]	Loss: 1.4942	LR: 0.087097
Training Epoch: 1 [41984/47500]	Loss: 1.3047	LR: 0.087634
Training Epoch: 1 [42240/47500]	Loss: 1.4495	LR: 0.088172
Training Epoch: 1 [42496/47500]	Loss: 1.3706	LR: 0.088710
Training Epoch: 1 [42752/47500]	Loss: 1.3293	LR: 0.089247
Training Epoch: 1 [43008/47500]	Loss: 1.1982	LR: 0.089785
Training Epoch: 1 [43264/47500]	Loss: 1.2066	LR: 0.090323
Training Epoch: 1 [43520/47500]	Loss: 1.3740	LR: 0.090860
Training Epoch: 1 [43776/47500]	Loss: 1.3388	LR: 0.091398
Training Epoch: 1 [44032/47500]	Loss: 1.5042	LR: 0.091935
Training Epoch: 1 [44288/47500]	Loss: 1.2673	LR: 0.092473
Training Epoch: 1 [44544/47500]	Loss: 1.2878	LR: 0.093011
Training Epoch: 1 [44800/47500]	Loss: 1.4815	LR: 0.093548
Training Epoch: 1 [45056/47500]	Loss: 1.3659	LR: 0.094086
Training Epoch: 1 [45312/47500]	Loss: 1.3629	LR: 0.094624
Training Epoch: 1 [45568/47500]	Loss: 1.1896	LR: 0.095161
Training Epoch: 1 [45824/47500]	Loss: 1.2883	LR: 0.095699
Training Epoch: 1 [46080/47500]	Loss: 1.3804	LR: 0.096237
Training Epoch: 1 [46336/47500]	Loss: 1.4177	LR: 0.096774
Training Epoch: 1 [46592/47500]	Loss: 1.5420	LR: 0.097312
Training Epoch: 1 [46848/47500]	Loss: 1.3638	LR: 0.097849
Training Epoch: 1 [47104/47500]	Loss: 1.2809	LR: 0.098387
Training Epoch: 1 [47360/47500]	Loss: 1.4184	LR: 0.098925
Training Epoch: 1 [47500/47500]	Loss: 1.2424	LR: 0.099462
Epoch 1 - Average Train Loss: 1.6363, Train Accuracy: 0.3944
Epoch 1 training time consumed: 27.23s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0064, Accuracy: 0.4726, Time consumed:1.06s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_23h_51m_17s/AllCNN-Cifar10-seed1-ret50-1-best.pth
Training Epoch: 2 [256/47500]	Loss: 1.3497	LR: 0.100000
Training Epoch: 2 [512/47500]	Loss: 1.3607	LR: 0.100000
Training Epoch: 2 [768/47500]	Loss: 1.2825	LR: 0.100000
Training Epoch: 2 [1024/47500]	Loss: 1.4191	LR: 0.100000
Training Epoch: 2 [1280/47500]	Loss: 1.4706	LR: 0.100000
Training Epoch: 2 [1536/47500]	Loss: 1.3963	LR: 0.100000
Training Epoch: 2 [1792/47500]	Loss: 1.2832	LR: 0.100000
Training Epoch: 2 [2048/47500]	Loss: 1.2945	LR: 0.100000
Training Epoch: 2 [2304/47500]	Loss: 1.3342	LR: 0.100000
Training Epoch: 2 [2560/47500]	Loss: 1.2863	LR: 0.100000
Training Epoch: 2 [2816/47500]	Loss: 1.2796	LR: 0.100000
Training Epoch: 2 [3072/47500]	Loss: 1.2747	LR: 0.100000
Training Epoch: 2 [3328/47500]	Loss: 1.2828	LR: 0.100000
Training Epoch: 2 [3584/47500]	Loss: 1.2159	LR: 0.100000
Training Epoch: 2 [3840/47500]	Loss: 1.3003	LR: 0.100000
Training Epoch: 2 [4096/47500]	Loss: 1.1711	LR: 0.100000
Training Epoch: 2 [4352/47500]	Loss: 1.3528	LR: 0.100000
Training Epoch: 2 [4608/47500]	Loss: 1.2310	LR: 0.100000
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Training Epoch: 2 [22528/47500]	Loss: 1.0895	LR: 0.100000
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Training Epoch: 2 [47500/47500]	Loss: 0.8395	LR: 0.100000
Epoch 2 - Average Train Loss: 1.1680, Train Accuracy: 0.5775
Epoch 2 training time consumed: 26.64s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0049, Accuracy: 0.5886, Time consumed:0.93s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_23h_51m_17s/AllCNN-Cifar10-seed1-ret50-2-best.pth
Training Epoch: 3 [256/47500]	Loss: 1.0358	LR: 0.100000
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Epoch 3 - Average Train Loss: 0.9789, Train Accuracy: 0.6504
Epoch 3 training time consumed: 26.68s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0047, Accuracy: 0.6134, Time consumed:1.05s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_23h_51m_17s/AllCNN-Cifar10-seed1-ret50-3-best.pth
Training Epoch: 4 [256/47500]	Loss: 0.8863	LR: 0.100000
Training Epoch: 4 [512/47500]	Loss: 0.9194	LR: 0.100000
Training Epoch: 4 [768/47500]	Loss: 0.9378	LR: 0.100000
Training Epoch: 4 [1024/47500]	Loss: 0.8982	LR: 0.100000
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Training Epoch: 4 [47500/47500]	Loss: 0.8408	LR: 0.100000
Epoch 4 - Average Train Loss: 0.8591, Train Accuracy: 0.6956
Epoch 4 training time consumed: 26.64s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0044, Accuracy: 0.6249, Time consumed:0.92s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_23h_51m_17s/AllCNN-Cifar10-seed1-ret50-4-best.pth
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Epoch 5 - Average Train Loss: 0.7598, Train Accuracy: 0.7338
Epoch 5 training time consumed: 26.46s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0045, Accuracy: 0.6380, Time consumed:0.93s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_23h_51m_17s/AllCNN-Cifar10-seed1-ret50-5-best.pth
Training Epoch: 6 [256/47500]	Loss: 0.8773	LR: 0.100000
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Epoch 6 - Average Train Loss: 0.6931, Train Accuracy: 0.7583
Epoch 6 training time consumed: 26.55s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0032, Accuracy: 0.7265, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_23h_51m_17s/AllCNN-Cifar10-seed1-ret50-6-best.pth
Training Epoch: 7 [256/47500]	Loss: 0.6098	LR: 0.100000
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Training Epoch: 7 [47500/47500]	Loss: 0.5232	LR: 0.100000
Epoch 7 - Average Train Loss: 0.6309, Train Accuracy: 0.7797
Epoch 7 training time consumed: 26.57s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0032, Accuracy: 0.7369, Time consumed:1.02s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_23h_51m_17s/AllCNN-Cifar10-seed1-ret50-7-best.pth
Training Epoch: 8 [256/47500]	Loss: 0.6140	LR: 0.020000
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Training Epoch: 8 [47500/47500]	Loss: 0.4370	LR: 0.020000
Epoch 8 - Average Train Loss: 0.4882, Train Accuracy: 0.8325
Epoch 8 training time consumed: 26.40s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0019, Accuracy: 0.8371, Time consumed:0.93s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_23h_51m_17s/AllCNN-Cifar10-seed1-ret50-8-best.pth
Training Epoch: 9 [256/47500]	Loss: 0.4832	LR: 0.020000
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Training Epoch: 9 [47500/47500]	Loss: 0.5148	LR: 0.020000
Epoch 9 - Average Train Loss: 0.4416, Train Accuracy: 0.8465
Epoch 9 training time consumed: 26.63s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0018, Accuracy: 0.8453, Time consumed:1.00s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_23h_51m_17s/AllCNN-Cifar10-seed1-ret50-9-best.pth
Training Epoch: 10 [256/47500]	Loss: 0.3883	LR: 0.020000
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Training Epoch: 10 [47500/47500]	Loss: 0.4434	LR: 0.020000
Epoch 10 - Average Train Loss: 0.4190, Train Accuracy: 0.8544
Epoch 10 training time consumed: 26.48s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0018, Accuracy: 0.8560, Time consumed:0.90s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_23h_51m_17s/AllCNN-Cifar10-seed1-ret50-10-best.pth
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Training Epoch: 11 [47500/47500]	Loss: 0.5528	LR: 0.020000
Epoch 11 - Average Train Loss: 0.4029, Train Accuracy: 0.8580
Epoch 11 training time consumed: 26.50s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0017, Accuracy: 0.8576, Time consumed:0.95s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_23h_51m_17s/AllCNN-Cifar10-seed1-ret50-11-best.pth
Training Epoch: 12 [256/47500]	Loss: 0.3141	LR: 0.004000
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Training Epoch: 12 [47500/47500]	Loss: 0.3472	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3561, Train Accuracy: 0.8786
Epoch 12 training time consumed: 26.45s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0015, Accuracy: 0.8716, Time consumed:0.92s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_23h_51m_17s/AllCNN-Cifar10-seed1-ret50-12-best.pth
Training Epoch: 13 [256/47500]	Loss: 0.3718	LR: 0.004000
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Training Epoch: 13 [47500/47500]	Loss: 0.3176	LR: 0.004000
Epoch 13 - Average Train Loss: 0.3412, Train Accuracy: 0.8835
Epoch 13 training time consumed: 26.40s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0015, Accuracy: 0.8743, Time consumed:0.97s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_23h_51m_17s/AllCNN-Cifar10-seed1-ret50-13-best.pth
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Training Epoch: 14 [41216/47500]	Loss: 0.4171	LR: 0.004000
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Training Epoch: 14 [41728/47500]	Loss: 0.4147	LR: 0.004000
Training Epoch: 14 [41984/47500]	Loss: 0.3316	LR: 0.004000
Training Epoch: 14 [42240/47500]	Loss: 0.3053	LR: 0.004000
Training Epoch: 14 [42496/47500]	Loss: 0.3527	LR: 0.004000
Training Epoch: 14 [42752/47500]	Loss: 0.2869	LR: 0.004000
Training Epoch: 14 [43008/47500]	Loss: 0.3522	LR: 0.004000
Training Epoch: 14 [43264/47500]	Loss: 0.2954	LR: 0.004000
Training Epoch: 14 [43520/47500]	Loss: 0.2697	LR: 0.004000
Training Epoch: 14 [43776/47500]	Loss: 0.3533	LR: 0.004000
Training Epoch: 14 [44032/47500]	Loss: 0.3657	LR: 0.004000
Training Epoch: 14 [44288/47500]	Loss: 0.3548	LR: 0.004000
Training Epoch: 14 [44544/47500]	Loss: 0.3740	LR: 0.004000
Training Epoch: 14 [44800/47500]	Loss: 0.3567	LR: 0.004000
Training Epoch: 14 [45056/47500]	Loss: 0.3066	LR: 0.004000
Training Epoch: 14 [45312/47500]	Loss: 0.3718	LR: 0.004000
Training Epoch: 14 [45568/47500]	Loss: 0.3048	LR: 0.004000
Training Epoch: 14 [45824/47500]	Loss: 0.3823	LR: 0.004000
Training Epoch: 14 [46080/47500]	Loss: 0.3301	LR: 0.004000
Training Epoch: 14 [46336/47500]	Loss: 0.2680	LR: 0.004000
Training Epoch: 14 [46592/47500]	Loss: 0.3384	LR: 0.004000
Training Epoch: 14 [46848/47500]	Loss: 0.3347	LR: 0.004000
Training Epoch: 14 [47104/47500]	Loss: 0.3788	LR: 0.004000
Training Epoch: 14 [47360/47500]	Loss: 0.3236	LR: 0.004000
Training Epoch: 14 [47500/47500]	Loss: 0.2861	LR: 0.004000
Epoch 14 - Average Train Loss: 0.3336, Train Accuracy: 0.8846
Epoch 14 training time consumed: 26.66s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0015, Accuracy: 0.8718, Time consumed:0.90s
Training Epoch: 15 [256/47500]	Loss: 0.3034	LR: 0.004000
Training Epoch: 15 [512/47500]	Loss: 0.2695	LR: 0.004000
Training Epoch: 15 [768/47500]	Loss: 0.3257	LR: 0.004000
Training Epoch: 15 [1024/47500]	Loss: 0.3219	LR: 0.004000
Training Epoch: 15 [1280/47500]	Loss: 0.3464	LR: 0.004000
Training Epoch: 15 [1536/47500]	Loss: 0.3014	LR: 0.004000
Training Epoch: 15 [1792/47500]	Loss: 0.4374	LR: 0.004000
Training Epoch: 15 [2048/47500]	Loss: 0.3176	LR: 0.004000
Training Epoch: 15 [2304/47500]	Loss: 0.2929	LR: 0.004000
Training Epoch: 15 [2560/47500]	Loss: 0.3088	LR: 0.004000
Training Epoch: 15 [2816/47500]	Loss: 0.3197	LR: 0.004000
Training Epoch: 15 [3072/47500]	Loss: 0.3381	LR: 0.004000
Training Epoch: 15 [3328/47500]	Loss: 0.3124	LR: 0.004000
Training Epoch: 15 [3584/47500]	Loss: 0.3542	LR: 0.004000
Training Epoch: 15 [3840/47500]	Loss: 0.3256	LR: 0.004000
Training Epoch: 15 [4096/47500]	Loss: 0.3325	LR: 0.004000
Training Epoch: 15 [4352/47500]	Loss: 0.3777	LR: 0.004000
Training Epoch: 15 [4608/47500]	Loss: 0.3134	LR: 0.004000
Training Epoch: 15 [4864/47500]	Loss: 0.3358	LR: 0.004000
Training Epoch: 15 [5120/47500]	Loss: 0.3215	LR: 0.004000
Training Epoch: 15 [5376/47500]	Loss: 0.2667	LR: 0.004000
Training Epoch: 15 [5632/47500]	Loss: 0.3552	LR: 0.004000
Training Epoch: 15 [5888/47500]	Loss: 0.3386	LR: 0.004000
Training Epoch: 15 [6144/47500]	Loss: 0.3203	LR: 0.004000
Training Epoch: 15 [6400/47500]	Loss: 0.3817	LR: 0.004000
Training Epoch: 15 [6656/47500]	Loss: 0.2491	LR: 0.004000
Training Epoch: 15 [6912/47500]	Loss: 0.3418	LR: 0.004000
Training Epoch: 15 [7168/47500]	Loss: 0.3400	LR: 0.004000
Training Epoch: 15 [7424/47500]	Loss: 0.3860	LR: 0.004000
Training Epoch: 15 [7680/47500]	Loss: 0.3295	LR: 0.004000
Training Epoch: 15 [7936/47500]	Loss: 0.3019	LR: 0.004000
Training Epoch: 15 [8192/47500]	Loss: 0.2811	LR: 0.004000
Training Epoch: 15 [8448/47500]	Loss: 0.2743	LR: 0.004000
Training Epoch: 15 [8704/47500]	Loss: 0.3072	LR: 0.004000
Training Epoch: 15 [8960/47500]	Loss: 0.3135	LR: 0.004000
Training Epoch: 15 [9216/47500]	Loss: 0.2923	LR: 0.004000
Training Epoch: 15 [9472/47500]	Loss: 0.2957	LR: 0.004000
Training Epoch: 15 [9728/47500]	Loss: 0.4250	LR: 0.004000
Training Epoch: 15 [9984/47500]	Loss: 0.3400	LR: 0.004000
Training Epoch: 15 [10240/47500]	Loss: 0.2705	LR: 0.004000
Training Epoch: 15 [10496/47500]	Loss: 0.3047	LR: 0.004000
Training Epoch: 15 [10752/47500]	Loss: 0.3306	LR: 0.004000
Training Epoch: 15 [11008/47500]	Loss: 0.3573	LR: 0.004000
Training Epoch: 15 [11264/47500]	Loss: 0.3188	LR: 0.004000
Training Epoch: 15 [11520/47500]	Loss: 0.4266	LR: 0.004000
Training Epoch: 15 [11776/47500]	Loss: 0.2679	LR: 0.004000
Training Epoch: 15 [12032/47500]	Loss: 0.2880	LR: 0.004000
Training Epoch: 15 [12288/47500]	Loss: 0.3242	LR: 0.004000
Training Epoch: 15 [12544/47500]	Loss: 0.4080	LR: 0.004000
Training Epoch: 15 [12800/47500]	Loss: 0.3175	LR: 0.004000
Training Epoch: 15 [13056/47500]	Loss: 0.3249	LR: 0.004000
Training Epoch: 15 [13312/47500]	Loss: 0.3270	LR: 0.004000
Training Epoch: 15 [13568/47500]	Loss: 0.3820	LR: 0.004000
Training Epoch: 15 [13824/47500]	Loss: 0.3511	LR: 0.004000
Training Epoch: 15 [14080/47500]	Loss: 0.2978	LR: 0.004000
Training Epoch: 15 [14336/47500]	Loss: 0.2967	LR: 0.004000
Training Epoch: 15 [14592/47500]	Loss: 0.3312	LR: 0.004000
Training Epoch: 15 [14848/47500]	Loss: 0.3960	LR: 0.004000
Training Epoch: 15 [15104/47500]	Loss: 0.3351	LR: 0.004000
Training Epoch: 15 [15360/47500]	Loss: 0.3616	LR: 0.004000
Training Epoch: 15 [15616/47500]	Loss: 0.3646	LR: 0.004000
Training Epoch: 15 [15872/47500]	Loss: 0.2919	LR: 0.004000
Training Epoch: 15 [16128/47500]	Loss: 0.3423	LR: 0.004000
Training Epoch: 15 [16384/47500]	Loss: 0.2955	LR: 0.004000
Training Epoch: 15 [16640/47500]	Loss: 0.3946	LR: 0.004000
Training Epoch: 15 [16896/47500]	Loss: 0.3110	LR: 0.004000
Training Epoch: 15 [17152/47500]	Loss: 0.3576	LR: 0.004000
Training Epoch: 15 [17408/47500]	Loss: 0.3412	LR: 0.004000
Training Epoch: 15 [17664/47500]	Loss: 0.3438	LR: 0.004000
Training Epoch: 15 [17920/47500]	Loss: 0.3217	LR: 0.004000
Training Epoch: 15 [18176/47500]	Loss: 0.3896	LR: 0.004000
Training Epoch: 15 [18432/47500]	Loss: 0.3208	LR: 0.004000
Training Epoch: 15 [18688/47500]	Loss: 0.3544	LR: 0.004000
Training Epoch: 15 [18944/47500]	Loss: 0.3271	LR: 0.004000
Training Epoch: 15 [19200/47500]	Loss: 0.3156	LR: 0.004000
Training Epoch: 15 [19456/47500]	Loss: 0.3553	LR: 0.004000
Training Epoch: 15 [19712/47500]	Loss: 0.3937	LR: 0.004000
Training Epoch: 15 [19968/47500]	Loss: 0.3358	LR: 0.004000
Training Epoch: 15 [20224/47500]	Loss: 0.3396	LR: 0.004000
Training Epoch: 15 [20480/47500]	Loss: 0.3113	LR: 0.004000
Training Epoch: 15 [20736/47500]	Loss: 0.3040	LR: 0.004000
Training Epoch: 15 [20992/47500]	Loss: 0.3551	LR: 0.004000
Training Epoch: 15 [21248/47500]	Loss: 0.3496	LR: 0.004000
Training Epoch: 15 [21504/47500]	Loss: 0.3337	LR: 0.004000
Training Epoch: 15 [21760/47500]	Loss: 0.2930	LR: 0.004000
Training Epoch: 15 [22016/47500]	Loss: 0.3586	LR: 0.004000
Training Epoch: 15 [22272/47500]	Loss: 0.3474	LR: 0.004000
Training Epoch: 15 [22528/47500]	Loss: 0.2450	LR: 0.004000
Training Epoch: 15 [22784/47500]	Loss: 0.3194	LR: 0.004000
Training Epoch: 15 [23040/47500]	Loss: 0.2941	LR: 0.004000
Training Epoch: 15 [23296/47500]	Loss: 0.3203	LR: 0.004000
Training Epoch: 15 [23552/47500]	Loss: 0.3828	LR: 0.004000
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Training Epoch: 15 [24576/47500]	Loss: 0.3311	LR: 0.004000
Training Epoch: 15 [24832/47500]	Loss: 0.3998	LR: 0.004000
Training Epoch: 15 [25088/47500]	Loss: 0.3853	LR: 0.004000
Training Epoch: 15 [25344/47500]	Loss: 0.3707	LR: 0.004000
Training Epoch: 15 [25600/47500]	Loss: 0.3853	LR: 0.004000
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Training Epoch: 15 [26112/47500]	Loss: 0.3720	LR: 0.004000
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Training Epoch: 15 [27904/47500]	Loss: 0.3595	LR: 0.004000
Training Epoch: 15 [28160/47500]	Loss: 0.3974	LR: 0.004000
Training Epoch: 15 [28416/47500]	Loss: 0.3898	LR: 0.004000
Training Epoch: 15 [28672/47500]	Loss: 0.2610	LR: 0.004000
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Training Epoch: 15 [30464/47500]	Loss: 0.2585	LR: 0.004000
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Training Epoch: 15 [30976/47500]	Loss: 0.3696	LR: 0.004000
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Training Epoch: 15 [35328/47500]	Loss: 0.3306	LR: 0.004000
Training Epoch: 15 [35584/47500]	Loss: 0.3155	LR: 0.004000
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Training Epoch: 15 [36096/47500]	Loss: 0.3248	LR: 0.004000
Training Epoch: 15 [36352/47500]	Loss: 0.3065	LR: 0.004000
Training Epoch: 15 [36608/47500]	Loss: 0.2985	LR: 0.004000
Training Epoch: 15 [36864/47500]	Loss: 0.3710	LR: 0.004000
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Training Epoch: 15 [37376/47500]	Loss: 0.3209	LR: 0.004000
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Training Epoch: 15 [37888/47500]	Loss: 0.3282	LR: 0.004000
Training Epoch: 15 [38144/47500]	Loss: 0.3550	LR: 0.004000
Training Epoch: 15 [38400/47500]	Loss: 0.4069	LR: 0.004000
Training Epoch: 15 [38656/47500]	Loss: 0.3145	LR: 0.004000
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Training Epoch: 15 [39168/47500]	Loss: 0.2981	LR: 0.004000
Training Epoch: 15 [39424/47500]	Loss: 0.3905	LR: 0.004000
Training Epoch: 15 [39680/47500]	Loss: 0.3701	LR: 0.004000
Training Epoch: 15 [39936/47500]	Loss: 0.3059	LR: 0.004000
Training Epoch: 15 [40192/47500]	Loss: 0.2398	LR: 0.004000
Training Epoch: 15 [40448/47500]	Loss: 0.2916	LR: 0.004000
Training Epoch: 15 [40704/47500]	Loss: 0.3777	LR: 0.004000
Training Epoch: 15 [40960/47500]	Loss: 0.2686	LR: 0.004000
Training Epoch: 15 [41216/47500]	Loss: 0.3247	LR: 0.004000
Training Epoch: 15 [41472/47500]	Loss: 0.3127	LR: 0.004000
Training Epoch: 15 [41728/47500]	Loss: 0.2951	LR: 0.004000
Training Epoch: 15 [41984/47500]	Loss: 0.3471	LR: 0.004000
Training Epoch: 15 [42240/47500]	Loss: 0.3763	LR: 0.004000
Training Epoch: 15 [42496/47500]	Loss: 0.2648	LR: 0.004000
Training Epoch: 15 [42752/47500]	Loss: 0.3088	LR: 0.004000
Training Epoch: 15 [43008/47500]	Loss: 0.3014	LR: 0.004000
Training Epoch: 15 [43264/47500]	Loss: 0.3787	LR: 0.004000
Training Epoch: 15 [43520/47500]	Loss: 0.3852	LR: 0.004000
Training Epoch: 15 [43776/47500]	Loss: 0.3040	LR: 0.004000
Training Epoch: 15 [44032/47500]	Loss: 0.2855	LR: 0.004000
Training Epoch: 15 [44288/47500]	Loss: 0.3314	LR: 0.004000
Training Epoch: 15 [44544/47500]	Loss: 0.2381	LR: 0.004000
Training Epoch: 15 [44800/47500]	Loss: 0.3495	LR: 0.004000
Training Epoch: 15 [45056/47500]	Loss: 0.2931	LR: 0.004000
Training Epoch: 15 [45312/47500]	Loss: 0.3086	LR: 0.004000
Training Epoch: 15 [45568/47500]	Loss: 0.3127	LR: 0.004000
Training Epoch: 15 [45824/47500]	Loss: 0.2332	LR: 0.004000
Training Epoch: 15 [46080/47500]	Loss: 0.3460	LR: 0.004000
Training Epoch: 15 [46336/47500]	Loss: 0.2577	LR: 0.004000
Training Epoch: 15 [46592/47500]	Loss: 0.3850	LR: 0.004000
Training Epoch: 15 [46848/47500]	Loss: 0.3230	LR: 0.004000
Training Epoch: 15 [47104/47500]	Loss: 0.3125	LR: 0.004000
Training Epoch: 15 [47360/47500]	Loss: 0.3065	LR: 0.004000
Training Epoch: 15 [47500/47500]	Loss: 0.3078	LR: 0.004000
Epoch 15 - Average Train Loss: 0.3288, Train Accuracy: 0.8881
Epoch 15 training time consumed: 26.45s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0015, Accuracy: 0.8740, Time consumed:1.03s
Training Epoch: 16 [256/47500]	Loss: 0.3385	LR: 0.000800
Training Epoch: 16 [512/47500]	Loss: 0.3200	LR: 0.000800
Training Epoch: 16 [768/47500]	Loss: 0.3655	LR: 0.000800
Training Epoch: 16 [1024/47500]	Loss: 0.3243	LR: 0.000800
Training Epoch: 16 [1280/47500]	Loss: 0.3000	LR: 0.000800
Training Epoch: 16 [1536/47500]	Loss: 0.3619	LR: 0.000800
Training Epoch: 16 [1792/47500]	Loss: 0.3443	LR: 0.000800
Training Epoch: 16 [2048/47500]	Loss: 0.3296	LR: 0.000800
Training Epoch: 16 [2304/47500]	Loss: 0.2913	LR: 0.000800
Training Epoch: 16 [2560/47500]	Loss: 0.3641	LR: 0.000800
Training Epoch: 16 [2816/47500]	Loss: 0.3505	LR: 0.000800
Training Epoch: 16 [3072/47500]	Loss: 0.3468	LR: 0.000800
Training Epoch: 16 [3328/47500]	Loss: 0.3449	LR: 0.000800
Training Epoch: 16 [3584/47500]	Loss: 0.2848	LR: 0.000800
Training Epoch: 16 [3840/47500]	Loss: 0.3726	LR: 0.000800
Training Epoch: 16 [4096/47500]	Loss: 0.3579	LR: 0.000800
Training Epoch: 16 [4352/47500]	Loss: 0.2780	LR: 0.000800
Training Epoch: 16 [4608/47500]	Loss: 0.2818	LR: 0.000800
Training Epoch: 16 [4864/47500]	Loss: 0.3703	LR: 0.000800
Training Epoch: 16 [5120/47500]	Loss: 0.2812	LR: 0.000800
Training Epoch: 16 [5376/47500]	Loss: 0.3639	LR: 0.000800
Training Epoch: 16 [5632/47500]	Loss: 0.2813	LR: 0.000800
Training Epoch: 16 [5888/47500]	Loss: 0.3702	LR: 0.000800
Training Epoch: 16 [6144/47500]	Loss: 0.3219	LR: 0.000800
Training Epoch: 16 [6400/47500]	Loss: 0.3408	LR: 0.000800
Training Epoch: 16 [6656/47500]	Loss: 0.2999	LR: 0.000800
Training Epoch: 16 [6912/47500]	Loss: 0.2998	LR: 0.000800
Training Epoch: 16 [7168/47500]	Loss: 0.3765	LR: 0.000800
Training Epoch: 16 [7424/47500]	Loss: 0.3040	LR: 0.000800
Training Epoch: 16 [7680/47500]	Loss: 0.3487	LR: 0.000800
Training Epoch: 16 [7936/47500]	Loss: 0.3121	LR: 0.000800
Training Epoch: 16 [8192/47500]	Loss: 0.3409	LR: 0.000800
Training Epoch: 16 [8448/47500]	Loss: 0.2964	LR: 0.000800
Training Epoch: 16 [8704/47500]	Loss: 0.3404	LR: 0.000800
Training Epoch: 16 [8960/47500]	Loss: 0.3351	LR: 0.000800
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Training Epoch: 16 [9984/47500]	Loss: 0.3141	LR: 0.000800
Training Epoch: 16 [10240/47500]	Loss: 0.3193	LR: 0.000800
Training Epoch: 16 [10496/47500]	Loss: 0.3307	LR: 0.000800
Training Epoch: 16 [10752/47500]	Loss: 0.2654	LR: 0.000800
Training Epoch: 16 [11008/47500]	Loss: 0.3890	LR: 0.000800
Training Epoch: 16 [11264/47500]	Loss: 0.2839	LR: 0.000800
Training Epoch: 16 [11520/47500]	Loss: 0.2337	LR: 0.000800
Training Epoch: 16 [11776/47500]	Loss: 0.3082	LR: 0.000800
Training Epoch: 16 [12032/47500]	Loss: 0.2996	LR: 0.000800
Training Epoch: 16 [12288/47500]	Loss: 0.3086	LR: 0.000800
Training Epoch: 16 [12544/47500]	Loss: 0.2927	LR: 0.000800
Training Epoch: 16 [12800/47500]	Loss: 0.3857	LR: 0.000800
Training Epoch: 16 [13056/47500]	Loss: 0.2750	LR: 0.000800
Training Epoch: 16 [13312/47500]	Loss: 0.3533	LR: 0.000800
Training Epoch: 16 [13568/47500]	Loss: 0.4196	LR: 0.000800
Training Epoch: 16 [13824/47500]	Loss: 0.2408	LR: 0.000800
Training Epoch: 16 [14080/47500]	Loss: 0.3406	LR: 0.000800
Training Epoch: 16 [14336/47500]	Loss: 0.2527	LR: 0.000800
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Training Epoch: 16 [15104/47500]	Loss: 0.3531	LR: 0.000800
Training Epoch: 16 [15360/47500]	Loss: 0.3783	LR: 0.000800
Training Epoch: 16 [15616/47500]	Loss: 0.2995	LR: 0.000800
Training Epoch: 16 [15872/47500]	Loss: 0.4114	LR: 0.000800
Training Epoch: 16 [16128/47500]	Loss: 0.3394	LR: 0.000800
Training Epoch: 16 [16384/47500]	Loss: 0.3422	LR: 0.000800
Training Epoch: 16 [16640/47500]	Loss: 0.3180	LR: 0.000800
Training Epoch: 16 [16896/47500]	Loss: 0.2817	LR: 0.000800
Training Epoch: 16 [17152/47500]	Loss: 0.2639	LR: 0.000800
Training Epoch: 16 [17408/47500]	Loss: 0.3108	LR: 0.000800
Training Epoch: 16 [17664/47500]	Loss: 0.2900	LR: 0.000800
Training Epoch: 16 [17920/47500]	Loss: 0.2659	LR: 0.000800
Training Epoch: 16 [18176/47500]	Loss: 0.2607	LR: 0.000800
Training Epoch: 16 [18432/47500]	Loss: 0.3081	LR: 0.000800
Training Epoch: 16 [18688/47500]	Loss: 0.2456	LR: 0.000800
Training Epoch: 16 [18944/47500]	Loss: 0.2962	LR: 0.000800
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Training Epoch: 16 [47500/47500]	Loss: 0.2488	LR: 0.000800
Epoch 16 - Average Train Loss: 0.3176, Train Accuracy: 0.8916
Epoch 16 training time consumed: 26.58s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0014, Accuracy: 0.8771, Time consumed:0.90s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_23h_51m_17s/AllCNN-Cifar10-seed1-ret50-16-best.pth
Training Epoch: 17 [256/47500]	Loss: 0.2719	LR: 0.000800
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Training Epoch: 17 [45056/47500]	Loss: 0.3031	LR: 0.000800
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Training Epoch: 17 [46592/47500]	Loss: 0.2884	LR: 0.000800
Training Epoch: 17 [46848/47500]	Loss: 0.3314	LR: 0.000800
Training Epoch: 17 [47104/47500]	Loss: 0.2843	LR: 0.000800
Training Epoch: 17 [47360/47500]	Loss: 0.2728	LR: 0.000800
Training Epoch: 17 [47500/47500]	Loss: 0.3072	LR: 0.000800
Epoch 17 - Average Train Loss: 0.3103, Train Accuracy: 0.8934
Epoch 17 training time consumed: 26.85s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0014, Accuracy: 0.8785, Time consumed:0.92s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_23h_51m_17s/AllCNN-Cifar10-seed1-ret50-17-best.pth
Training Epoch: 18 [256/47500]	Loss: 0.3574	LR: 0.000800
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Training Epoch: 18 [44800/47500]	Loss: 0.2936	LR: 0.000800
Training Epoch: 18 [45056/47500]	Loss: 0.3295	LR: 0.000800
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Training Epoch: 18 [45568/47500]	Loss: 0.2890	LR: 0.000800
Training Epoch: 18 [45824/47500]	Loss: 0.2828	LR: 0.000800
Training Epoch: 18 [46080/47500]	Loss: 0.3312	LR: 0.000800
Training Epoch: 18 [46336/47500]	Loss: 0.2667	LR: 0.000800
Training Epoch: 18 [46592/47500]	Loss: 0.3117	LR: 0.000800
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Training Epoch: 18 [47104/47500]	Loss: 0.3121	LR: 0.000800
Training Epoch: 18 [47360/47500]	Loss: 0.3445	LR: 0.000800
Training Epoch: 18 [47500/47500]	Loss: 0.3148	LR: 0.000800
Epoch 18 - Average Train Loss: 0.3075, Train Accuracy: 0.8951
Epoch 18 training time consumed: 26.61s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0014, Accuracy: 0.8774, Time consumed:0.95s
Training Epoch: 19 [256/47500]	Loss: 0.3112	LR: 0.000800
Training Epoch: 19 [512/47500]	Loss: 0.3143	LR: 0.000800
Training Epoch: 19 [768/47500]	Loss: 0.3413	LR: 0.000800
Training Epoch: 19 [1024/47500]	Loss: 0.2908	LR: 0.000800
Training Epoch: 19 [1280/47500]	Loss: 0.2816	LR: 0.000800
Training Epoch: 19 [1536/47500]	Loss: 0.2751	LR: 0.000800
Training Epoch: 19 [1792/47500]	Loss: 0.3171	LR: 0.000800
Training Epoch: 19 [2048/47500]	Loss: 0.3224	LR: 0.000800
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Training Epoch: 19 [2560/47500]	Loss: 0.2514	LR: 0.000800
Training Epoch: 19 [2816/47500]	Loss: 0.4020	LR: 0.000800
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Training Epoch: 19 [4608/47500]	Loss: 0.3254	LR: 0.000800
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Training Epoch: 19 [21760/47500]	Loss: 0.3365	LR: 0.000800
Training Epoch: 19 [22016/47500]	Loss: 0.2455	LR: 0.000800
Training Epoch: 19 [22272/47500]	Loss: 0.3476	LR: 0.000800
Training Epoch: 19 [22528/47500]	Loss: 0.3208	LR: 0.000800
Training Epoch: 19 [22784/47500]	Loss: 0.3753	LR: 0.000800
Training Epoch: 19 [23040/47500]	Loss: 0.3581	LR: 0.000800
Training Epoch: 19 [23296/47500]	Loss: 0.2964	LR: 0.000800
Training Epoch: 19 [23552/47500]	Loss: 0.3471	LR: 0.000800
Training Epoch: 19 [23808/47500]	Loss: 0.2896	LR: 0.000800
Training Epoch: 19 [24064/47500]	Loss: 0.3284	LR: 0.000800
Training Epoch: 19 [24320/47500]	Loss: 0.2960	LR: 0.000800
Training Epoch: 19 [24576/47500]	Loss: 0.3160	LR: 0.000800
Training Epoch: 19 [24832/47500]	Loss: 0.2882	LR: 0.000800
Training Epoch: 19 [25088/47500]	Loss: 0.3076	LR: 0.000800
Training Epoch: 19 [25344/47500]	Loss: 0.2283	LR: 0.000800
Training Epoch: 19 [25600/47500]	Loss: 0.3479	LR: 0.000800
Training Epoch: 19 [25856/47500]	Loss: 0.3840	LR: 0.000800
Training Epoch: 19 [26112/47500]	Loss: 0.3645	LR: 0.000800
Training Epoch: 19 [26368/47500]	Loss: 0.3744	LR: 0.000800
Training Epoch: 19 [26624/47500]	Loss: 0.3559	LR: 0.000800
Training Epoch: 19 [26880/47500]	Loss: 0.3919	LR: 0.000800
Training Epoch: 19 [27136/47500]	Loss: 0.3139	LR: 0.000800
Training Epoch: 19 [27392/47500]	Loss: 0.3455	LR: 0.000800
Training Epoch: 19 [27648/47500]	Loss: 0.3588	LR: 0.000800
Training Epoch: 19 [27904/47500]	Loss: 0.2822	LR: 0.000800
Training Epoch: 19 [28160/47500]	Loss: 0.2685	LR: 0.000800
Training Epoch: 19 [28416/47500]	Loss: 0.3028	LR: 0.000800
Training Epoch: 19 [28672/47500]	Loss: 0.2777	LR: 0.000800
Training Epoch: 19 [28928/47500]	Loss: 0.3192	LR: 0.000800
Training Epoch: 19 [29184/47500]	Loss: 0.3555	LR: 0.000800
Training Epoch: 19 [29440/47500]	Loss: 0.2915	LR: 0.000800
Training Epoch: 19 [29696/47500]	Loss: 0.4411	LR: 0.000800
Training Epoch: 19 [29952/47500]	Loss: 0.2734	LR: 0.000800
Training Epoch: 19 [30208/47500]	Loss: 0.2988	LR: 0.000800
Training Epoch: 19 [30464/47500]	Loss: 0.3539	LR: 0.000800
Training Epoch: 19 [30720/47500]	Loss: 0.4109	LR: 0.000800
Training Epoch: 19 [30976/47500]	Loss: 0.2898	LR: 0.000800
Training Epoch: 19 [31232/47500]	Loss: 0.3297	LR: 0.000800
Training Epoch: 19 [31488/47500]	Loss: 0.2865	LR: 0.000800
Training Epoch: 19 [31744/47500]	Loss: 0.2738	LR: 0.000800
Training Epoch: 19 [32000/47500]	Loss: 0.2586	LR: 0.000800
Training Epoch: 19 [32256/47500]	Loss: 0.3394	LR: 0.000800
Training Epoch: 19 [32512/47500]	Loss: 0.3348	LR: 0.000800
Training Epoch: 19 [32768/47500]	Loss: 0.3596	LR: 0.000800
Training Epoch: 19 [33024/47500]	Loss: 0.2999	LR: 0.000800
Training Epoch: 19 [33280/47500]	Loss: 0.2783	LR: 0.000800
Training Epoch: 19 [33536/47500]	Loss: 0.3854	LR: 0.000800
Training Epoch: 19 [33792/47500]	Loss: 0.3157	LR: 0.000800
Training Epoch: 19 [34048/47500]	Loss: 0.2874	LR: 0.000800
Training Epoch: 19 [34304/47500]	Loss: 0.2027	LR: 0.000800
Training Epoch: 19 [34560/47500]	Loss: 0.3541	LR: 0.000800
Training Epoch: 19 [34816/47500]	Loss: 0.3404	LR: 0.000800
Training Epoch: 19 [35072/47500]	Loss: 0.2620	LR: 0.000800
Training Epoch: 19 [35328/47500]	Loss: 0.3409	LR: 0.000800
Training Epoch: 19 [35584/47500]	Loss: 0.2918	LR: 0.000800
Training Epoch: 19 [35840/47500]	Loss: 0.3562	LR: 0.000800
Training Epoch: 19 [36096/47500]	Loss: 0.3555	LR: 0.000800
Training Epoch: 19 [36352/47500]	Loss: 0.2626	LR: 0.000800
Training Epoch: 19 [36608/47500]	Loss: 0.3764	LR: 0.000800
Training Epoch: 19 [36864/47500]	Loss: 0.2991	LR: 0.000800
Training Epoch: 19 [37120/47500]	Loss: 0.2847	LR: 0.000800
Training Epoch: 19 [37376/47500]	Loss: 0.3117	LR: 0.000800
Training Epoch: 19 [37632/47500]	Loss: 0.3621	LR: 0.000800
Training Epoch: 19 [37888/47500]	Loss: 0.2081	LR: 0.000800
Training Epoch: 19 [38144/47500]	Loss: 0.3208	LR: 0.000800
Training Epoch: 19 [38400/47500]	Loss: 0.3170	LR: 0.000800
Training Epoch: 19 [38656/47500]	Loss: 0.3326	LR: 0.000800
Training Epoch: 19 [38912/47500]	Loss: 0.3233	LR: 0.000800
Training Epoch: 19 [39168/47500]	Loss: 0.3212	LR: 0.000800
Training Epoch: 19 [39424/47500]	Loss: 0.3116	LR: 0.000800
Training Epoch: 19 [39680/47500]	Loss: 0.2802	LR: 0.000800
Training Epoch: 19 [39936/47500]	Loss: 0.3093	LR: 0.000800
Training Epoch: 19 [40192/47500]	Loss: 0.2740	LR: 0.000800
Training Epoch: 19 [40448/47500]	Loss: 0.3888	LR: 0.000800
Training Epoch: 19 [40704/47500]	Loss: 0.2868	LR: 0.000800
Training Epoch: 19 [40960/47500]	Loss: 0.2382	LR: 0.000800
Training Epoch: 19 [41216/47500]	Loss: 0.3177	LR: 0.000800
Training Epoch: 19 [41472/47500]	Loss: 0.3518	LR: 0.000800
Training Epoch: 19 [41728/47500]	Loss: 0.2501	LR: 0.000800
Training Epoch: 19 [41984/47500]	Loss: 0.2974	LR: 0.000800
Training Epoch: 19 [42240/47500]	Loss: 0.3422	LR: 0.000800
Training Epoch: 19 [42496/47500]	Loss: 0.2817	LR: 0.000800
Training Epoch: 19 [42752/47500]	Loss: 0.2635	LR: 0.000800
Training Epoch: 19 [43008/47500]	Loss: 0.2655	LR: 0.000800
Training Epoch: 19 [43264/47500]	Loss: 0.2918	LR: 0.000800
Training Epoch: 19 [43520/47500]	Loss: 0.3629	LR: 0.000800
Training Epoch: 19 [43776/47500]	Loss: 0.3798	LR: 0.000800
Training Epoch: 19 [44032/47500]	Loss: 0.2882	LR: 0.000800
Training Epoch: 19 [44288/47500]	Loss: 0.3374	LR: 0.000800
Training Epoch: 19 [44544/47500]	Loss: 0.3613	LR: 0.000800
Training Epoch: 19 [44800/47500]	Loss: 0.3312	LR: 0.000800
Training Epoch: 19 [45056/47500]	Loss: 0.2720	LR: 0.000800
Training Epoch: 19 [45312/47500]	Loss: 0.3533	LR: 0.000800
Training Epoch: 19 [45568/47500]	Loss: 0.2622	LR: 0.000800
Training Epoch: 19 [45824/47500]	Loss: 0.3298	LR: 0.000800
Training Epoch: 19 [46080/47500]	Loss: 0.3793	LR: 0.000800
Training Epoch: 19 [46336/47500]	Loss: 0.2742	LR: 0.000800
Training Epoch: 19 [46592/47500]	Loss: 0.4089	LR: 0.000800
Training Epoch: 19 [46848/47500]	Loss: 0.3412	LR: 0.000800
Training Epoch: 19 [47104/47500]	Loss: 0.2720	LR: 0.000800
Training Epoch: 19 [47360/47500]	Loss: 0.3124	LR: 0.000800
Training Epoch: 19 [47500/47500]	Loss: 0.2835	LR: 0.000800
Epoch 19 - Average Train Loss: 0.3101, Train Accuracy: 0.8935
Epoch 19 training time consumed: 27.03s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0014, Accuracy: 0.8777, Time consumed:0.97s
Training Epoch: 20 [256/47500]	Loss: 0.2509	LR: 0.000800
Training Epoch: 20 [512/47500]	Loss: 0.2850	LR: 0.000800
Training Epoch: 20 [768/47500]	Loss: 0.2353	LR: 0.000800
Training Epoch: 20 [1024/47500]	Loss: 0.2983	LR: 0.000800
Training Epoch: 20 [1280/47500]	Loss: 0.2814	LR: 0.000800
Training Epoch: 20 [1536/47500]	Loss: 0.2919	LR: 0.000800
Training Epoch: 20 [1792/47500]	Loss: 0.2335	LR: 0.000800
Training Epoch: 20 [2048/47500]	Loss: 0.2870	LR: 0.000800
Training Epoch: 20 [2304/47500]	Loss: 0.2945	LR: 0.000800
Training Epoch: 20 [2560/47500]	Loss: 0.2976	LR: 0.000800
Training Epoch: 20 [2816/47500]	Loss: 0.3616	LR: 0.000800
Training Epoch: 20 [3072/47500]	Loss: 0.3045	LR: 0.000800
Training Epoch: 20 [3328/47500]	Loss: 0.2888	LR: 0.000800
Training Epoch: 20 [3584/47500]	Loss: 0.2993	LR: 0.000800
Training Epoch: 20 [3840/47500]	Loss: 0.2816	LR: 0.000800
Training Epoch: 20 [4096/47500]	Loss: 0.3817	LR: 0.000800
Training Epoch: 20 [4352/47500]	Loss: 0.3160	LR: 0.000800
Training Epoch: 20 [4608/47500]	Loss: 0.3006	LR: 0.000800
Training Epoch: 20 [4864/47500]	Loss: 0.3027	LR: 0.000800
Training Epoch: 20 [5120/47500]	Loss: 0.3622	LR: 0.000800
Training Epoch: 20 [5376/47500]	Loss: 0.3659	LR: 0.000800
Training Epoch: 20 [5632/47500]	Loss: 0.3224	LR: 0.000800
Training Epoch: 20 [5888/47500]	Loss: 0.2543	LR: 0.000800
Training Epoch: 20 [6144/47500]	Loss: 0.2355	LR: 0.000800
Training Epoch: 20 [6400/47500]	Loss: 0.2816	LR: 0.000800
Training Epoch: 20 [6656/47500]	Loss: 0.3705	LR: 0.000800
Training Epoch: 20 [6912/47500]	Loss: 0.2569	LR: 0.000800
Training Epoch: 20 [7168/47500]	Loss: 0.3511	LR: 0.000800
Training Epoch: 20 [7424/47500]	Loss: 0.2945	LR: 0.000800
Training Epoch: 20 [7680/47500]	Loss: 0.3503	LR: 0.000800
Training Epoch: 20 [7936/47500]	Loss: 0.3126	LR: 0.000800
Training Epoch: 20 [8192/47500]	Loss: 0.2533	LR: 0.000800
Training Epoch: 20 [8448/47500]	Loss: 0.2684	LR: 0.000800
Training Epoch: 20 [8704/47500]	Loss: 0.3037	LR: 0.000800
Training Epoch: 20 [8960/47500]	Loss: 0.2839	LR: 0.000800
Training Epoch: 20 [9216/47500]	Loss: 0.2709	LR: 0.000800
Training Epoch: 20 [9472/47500]	Loss: 0.3058	LR: 0.000800
Training Epoch: 20 [9728/47500]	Loss: 0.3133	LR: 0.000800
Training Epoch: 20 [9984/47500]	Loss: 0.2348	LR: 0.000800
Training Epoch: 20 [10240/47500]	Loss: 0.3606	LR: 0.000800
Training Epoch: 20 [10496/47500]	Loss: 0.2800	LR: 0.000800
Training Epoch: 20 [10752/47500]	Loss: 0.2651	LR: 0.000800
Training Epoch: 20 [11008/47500]	Loss: 0.2882	LR: 0.000800
Training Epoch: 20 [11264/47500]	Loss: 0.3130	LR: 0.000800
Training Epoch: 20 [11520/47500]	Loss: 0.3330	LR: 0.000800
Training Epoch: 20 [11776/47500]	Loss: 0.3094	LR: 0.000800
Training Epoch: 20 [12032/47500]	Loss: 0.2970	LR: 0.000800
Training Epoch: 20 [12288/47500]	Loss: 0.3887	LR: 0.000800
Training Epoch: 20 [12544/47500]	Loss: 0.2425	LR: 0.000800
Training Epoch: 20 [12800/47500]	Loss: 0.2595	LR: 0.000800
Training Epoch: 20 [13056/47500]	Loss: 0.2520	LR: 0.000800
Training Epoch: 20 [13312/47500]	Loss: 0.2853	LR: 0.000800
Training Epoch: 20 [13568/47500]	Loss: 0.2918	LR: 0.000800
Training Epoch: 20 [13824/47500]	Loss: 0.3007	LR: 0.000800
Training Epoch: 20 [14080/47500]	Loss: 0.3182	LR: 0.000800
Training Epoch: 20 [14336/47500]	Loss: 0.3594	LR: 0.000800
Training Epoch: 20 [14592/47500]	Loss: 0.2533	LR: 0.000800
Training Epoch: 20 [14848/47500]	Loss: 0.3067	LR: 0.000800
Training Epoch: 20 [15104/47500]	Loss: 0.3017	LR: 0.000800
Training Epoch: 20 [15360/47500]	Loss: 0.3176	LR: 0.000800
Training Epoch: 20 [15616/47500]	Loss: 0.3607	LR: 0.000800
Training Epoch: 20 [15872/47500]	Loss: 0.3184	LR: 0.000800
Training Epoch: 20 [16128/47500]	Loss: 0.3029	LR: 0.000800
Training Epoch: 20 [16384/47500]	Loss: 0.2968	LR: 0.000800
Training Epoch: 20 [16640/47500]	Loss: 0.3279	LR: 0.000800
Training Epoch: 20 [16896/47500]	Loss: 0.2495	LR: 0.000800
Training Epoch: 20 [17152/47500]	Loss: 0.4270	LR: 0.000800
Training Epoch: 20 [17408/47500]	Loss: 0.3217	LR: 0.000800
Training Epoch: 20 [17664/47500]	Loss: 0.3490	LR: 0.000800
Training Epoch: 20 [17920/47500]	Loss: 0.2556	LR: 0.000800
Training Epoch: 20 [18176/47500]	Loss: 0.3251	LR: 0.000800
Training Epoch: 20 [18432/47500]	Loss: 0.3851	LR: 0.000800
Training Epoch: 20 [18688/47500]	Loss: 0.4057	LR: 0.000800
Training Epoch: 20 [18944/47500]	Loss: 0.2908	LR: 0.000800
Training Epoch: 20 [19200/47500]	Loss: 0.2763	LR: 0.000800
Training Epoch: 20 [19456/47500]	Loss: 0.3436	LR: 0.000800
Training Epoch: 20 [19712/47500]	Loss: 0.2958	LR: 0.000800
Training Epoch: 20 [19968/47500]	Loss: 0.3829	LR: 0.000800
Training Epoch: 20 [20224/47500]	Loss: 0.2788	LR: 0.000800
Training Epoch: 20 [20480/47500]	Loss: 0.2659	LR: 0.000800
Training Epoch: 20 [20736/47500]	Loss: 0.3624	LR: 0.000800
Training Epoch: 20 [20992/47500]	Loss: 0.3491	LR: 0.000800
Training Epoch: 20 [21248/47500]	Loss: 0.2692	LR: 0.000800
Training Epoch: 20 [21504/47500]	Loss: 0.2110	LR: 0.000800
Training Epoch: 20 [21760/47500]	Loss: 0.2736	LR: 0.000800
Training Epoch: 20 [22016/47500]	Loss: 0.3320	LR: 0.000800
Training Epoch: 20 [22272/47500]	Loss: 0.3136	LR: 0.000800
Training Epoch: 20 [22528/47500]	Loss: 0.2335	LR: 0.000800
Training Epoch: 20 [22784/47500]	Loss: 0.2999	LR: 0.000800
Training Epoch: 20 [23040/47500]	Loss: 0.3338	LR: 0.000800
Training Epoch: 20 [23296/47500]	Loss: 0.4196	LR: 0.000800
Training Epoch: 20 [23552/47500]	Loss: 0.3115	LR: 0.000800
Training Epoch: 20 [23808/47500]	Loss: 0.3103	LR: 0.000800
Training Epoch: 20 [24064/47500]	Loss: 0.3063	LR: 0.000800
Training Epoch: 20 [24320/47500]	Loss: 0.2970	LR: 0.000800
Training Epoch: 20 [24576/47500]	Loss: 0.3129	LR: 0.000800
Training Epoch: 20 [24832/47500]	Loss: 0.2486	LR: 0.000800
Training Epoch: 20 [25088/47500]	Loss: 0.2984	LR: 0.000800
Training Epoch: 20 [25344/47500]	Loss: 0.2345	LR: 0.000800
Training Epoch: 20 [25600/47500]	Loss: 0.2257	LR: 0.000800
Training Epoch: 20 [25856/47500]	Loss: 0.3143	LR: 0.000800
Training Epoch: 20 [26112/47500]	Loss: 0.2610	LR: 0.000800
Training Epoch: 20 [26368/47500]	Loss: 0.2655	LR: 0.000800
Training Epoch: 20 [26624/47500]	Loss: 0.3462	LR: 0.000800
Training Epoch: 20 [26880/47500]	Loss: 0.2963	LR: 0.000800
Training Epoch: 20 [27136/47500]	Loss: 0.3234	LR: 0.000800
Training Epoch: 20 [27392/47500]	Loss: 0.3132	LR: 0.000800
Training Epoch: 20 [27648/47500]	Loss: 0.4076	LR: 0.000800
Training Epoch: 20 [27904/47500]	Loss: 0.3227	LR: 0.000800
Training Epoch: 20 [28160/47500]	Loss: 0.3071	LR: 0.000800
Training Epoch: 20 [28416/47500]	Loss: 0.2229	LR: 0.000800
Training Epoch: 20 [28672/47500]	Loss: 0.2517	LR: 0.000800
Training Epoch: 20 [28928/47500]	Loss: 0.3064	LR: 0.000800
Training Epoch: 20 [29184/47500]	Loss: 0.3570	LR: 0.000800
Training Epoch: 20 [29440/47500]	Loss: 0.3297	LR: 0.000800
Training Epoch: 20 [29696/47500]	Loss: 0.3007	LR: 0.000800
Training Epoch: 20 [29952/47500]	Loss: 0.2388	LR: 0.000800
Training Epoch: 20 [30208/47500]	Loss: 0.2840	LR: 0.000800
Training Epoch: 20 [30464/47500]	Loss: 0.2702	LR: 0.000800
Training Epoch: 20 [30720/47500]	Loss: 0.2688	LR: 0.000800
Training Epoch: 20 [30976/47500]	Loss: 0.2523	LR: 0.000800
Training Epoch: 20 [31232/47500]	Loss: 0.2795	LR: 0.000800
Training Epoch: 20 [31488/47500]	Loss: 0.3487	LR: 0.000800
Training Epoch: 20 [31744/47500]	Loss: 0.3428	LR: 0.000800
Training Epoch: 20 [32000/47500]	Loss: 0.3453	LR: 0.000800
Training Epoch: 20 [32256/47500]	Loss: 0.3047	LR: 0.000800
Training Epoch: 20 [32512/47500]	Loss: 0.3343	LR: 0.000800
Training Epoch: 20 [32768/47500]	Loss: 0.2787	LR: 0.000800
Training Epoch: 20 [33024/47500]	Loss: 0.3437	LR: 0.000800
Training Epoch: 20 [33280/47500]	Loss: 0.3521	LR: 0.000800
Training Epoch: 20 [33536/47500]	Loss: 0.3744	LR: 0.000800
Training Epoch: 20 [33792/47500]	Loss: 0.2275	LR: 0.000800
Training Epoch: 20 [34048/47500]	Loss: 0.3085	LR: 0.000800
Training Epoch: 20 [34304/47500]	Loss: 0.2669	LR: 0.000800
Training Epoch: 20 [34560/47500]	Loss: 0.3016	LR: 0.000800
Training Epoch: 20 [34816/47500]	Loss: 0.3689	LR: 0.000800
Training Epoch: 20 [35072/47500]	Loss: 0.2779	LR: 0.000800
Training Epoch: 20 [35328/47500]	Loss: 0.3239	LR: 0.000800
Training Epoch: 20 [35584/47500]	Loss: 0.2680	LR: 0.000800
Training Epoch: 20 [35840/47500]	Loss: 0.3710	LR: 0.000800
Training Epoch: 20 [36096/47500]	Loss: 0.3379	LR: 0.000800
Training Epoch: 20 [36352/47500]	Loss: 0.2751	LR: 0.000800
Training Epoch: 20 [36608/47500]	Loss: 0.3564	LR: 0.000800
Training Epoch: 20 [36864/47500]	Loss: 0.2895	LR: 0.000800
Training Epoch: 20 [37120/47500]	Loss: 0.3589	LR: 0.000800
Training Epoch: 20 [37376/47500]	Loss: 0.2844	LR: 0.000800
Training Epoch: 20 [37632/47500]	Loss: 0.2648	LR: 0.000800
Training Epoch: 20 [37888/47500]	Loss: 0.3039	LR: 0.000800
Training Epoch: 20 [38144/47500]	Loss: 0.3086	LR: 0.000800
Training Epoch: 20 [38400/47500]	Loss: 0.3532	LR: 0.000800
Training Epoch: 20 [38656/47500]	Loss: 0.2985	LR: 0.000800
Training Epoch: 20 [38912/47500]	Loss: 0.3149	LR: 0.000800
Training Epoch: 20 [39168/47500]	Loss: 0.2435	LR: 0.000800
Training Epoch: 20 [39424/47500]	Loss: 0.3312	LR: 0.000800
Training Epoch: 20 [39680/47500]	Loss: 0.3740	LR: 0.000800
Training Epoch: 20 [39936/47500]	Loss: 0.3207	LR: 0.000800
Training Epoch: 20 [40192/47500]	Loss: 0.2870	LR: 0.000800
Training Epoch: 20 [40448/47500]	Loss: 0.2893	LR: 0.000800
Training Epoch: 20 [40704/47500]	Loss: 0.2984	LR: 0.000800
Training Epoch: 20 [40960/47500]	Loss: 0.3377	LR: 0.000800
Training Epoch: 20 [41216/47500]	Loss: 0.3487	LR: 0.000800
Training Epoch: 20 [41472/47500]	Loss: 0.3051	LR: 0.000800
Training Epoch: 20 [41728/47500]	Loss: 0.3033	LR: 0.000800
Training Epoch: 20 [41984/47500]	Loss: 0.2771	LR: 0.000800
Training Epoch: 20 [42240/47500]	Loss: 0.3486	LR: 0.000800
Training Epoch: 20 [42496/47500]	Loss: 0.2689	LR: 0.000800
Training Epoch: 20 [42752/47500]	Loss: 0.2884	LR: 0.000800
Training Epoch: 20 [43008/47500]	Loss: 0.2580	LR: 0.000800
Training Epoch: 20 [43264/47500]	Loss: 0.2774	LR: 0.000800
Training Epoch: 20 [43520/47500]	Loss: 0.3421	LR: 0.000800
Training Epoch: 20 [43776/47500]	Loss: 0.2982	LR: 0.000800
Training Epoch: 20 [44032/47500]	Loss: 0.2927	LR: 0.000800
Training Epoch: 20 [44288/47500]	Loss: 0.3103	LR: 0.000800
Training Epoch: 20 [44544/47500]	Loss: 0.3473	LR: 0.000800
Training Epoch: 20 [44800/47500]	Loss: 0.2364	LR: 0.000800
Training Epoch: 20 [45056/47500]	Loss: 0.3487	LR: 0.000800
Training Epoch: 20 [45312/47500]	Loss: 0.2782	LR: 0.000800
Training Epoch: 20 [45568/47500]	Loss: 0.3025	LR: 0.000800
Training Epoch: 20 [45824/47500]	Loss: 0.2664	LR: 0.000800
Training Epoch: 20 [46080/47500]	Loss: 0.4340	LR: 0.000800
Training Epoch: 20 [46336/47500]	Loss: 0.3041	LR: 0.000800
Training Epoch: 20 [46592/47500]	Loss: 0.3281	LR: 0.000800
Training Epoch: 20 [46848/47500]	Loss: 0.3171	LR: 0.000800
Training Epoch: 20 [47104/47500]	Loss: 0.3099	LR: 0.000800
Training Epoch: 20 [47360/47500]	Loss: 0.3054	LR: 0.000800
Training Epoch: 20 [47500/47500]	Loss: 0.3064	LR: 0.000800
Epoch 20 - Average Train Loss: 0.3054, Train Accuracy: 0.8961
Epoch 20 training time consumed: 26.54s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0014, Accuracy: 0.8775, Time consumed:0.93s
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: 87.890625
Retain Accuracy: 89.95271301269531
Zero-Retain Forget (ZRF): 0.8580963611602783
Membership Inference Attack (MIA): 0.418
Forget vs Retain Membership Inference Attack (MIA): 0.535
Forget vs Test Membership Inference Attack (MIA): 0.56
Test vs Retain Membership Inference Attack (MIA): 0.50975
Train vs Test Membership Inference Attack (MIA): 0.517
Forget Set Accuracy (Df): 86.41023254394531
Method Execution Time: 1057.75 seconds
