hello
hello

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

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

📊 Updated class distribution:
Retain set:
  Class 0: 4625
  Class 1: 4625
  Class 2: 4625
  Class 3: 4625
  Class 4: 4625
  Class 5: 4625
  Class 6: 4625
  Class 7: 4625
  Class 8: 4625
  Class 9: 4625
Forget set:
  Class 0: 375
  Class 1: 375
  Class 2: 375
  Class 3: 375
  Class 4: 375
  Class 5: 375
  Class 6: 375
  Class 7: 375
  Class 8: 375
  Class 9: 375
hello
hello
⚠️ Warning: Retain train loader may not be shuffled.
Training Epoch: 1 [256/46250]	Loss: 2.3644	LR: 0.000000
Training Epoch: 1 [512/46250]	Loss: 2.3794	LR: 0.000552
Training Epoch: 1 [768/46250]	Loss: 2.4015	LR: 0.001105
Training Epoch: 1 [1024/46250]	Loss: 2.3307	LR: 0.001657
Training Epoch: 1 [1280/46250]	Loss: 2.2652	LR: 0.002210
Training Epoch: 1 [1536/46250]	Loss: 2.1427	LR: 0.002762
Training Epoch: 1 [1792/46250]	Loss: 2.0126	LR: 0.003315
Training Epoch: 1 [2048/46250]	Loss: 1.8403	LR: 0.003867
Training Epoch: 1 [2304/46250]	Loss: 1.6317	LR: 0.004420
Training Epoch: 1 [2560/46250]	Loss: 1.3943	LR: 0.004972
Training Epoch: 1 [2816/46250]	Loss: 1.2063	LR: 0.005525
Training Epoch: 1 [3072/46250]	Loss: 0.9812	LR: 0.006077
Training Epoch: 1 [3328/46250]	Loss: 0.8591	LR: 0.006630
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Training Epoch: 1 [8448/46250]	Loss: 0.2743	LR: 0.017680
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Training Epoch: 1 [8960/46250]	Loss: 0.3287	LR: 0.018785
Training Epoch: 1 [9216/46250]	Loss: 0.2988	LR: 0.019337
Training Epoch: 1 [9472/46250]	Loss: 0.3548	LR: 0.019890
Training Epoch: 1 [9728/46250]	Loss: 0.2021	LR: 0.020442
Training Epoch: 1 [9984/46250]	Loss: 0.1512	LR: 0.020994
Training Epoch: 1 [10240/46250]	Loss: 0.3031	LR: 0.021547
Training Epoch: 1 [10496/46250]	Loss: 0.2664	LR: 0.022099
Training Epoch: 1 [10752/46250]	Loss: 0.2556	LR: 0.022652
Training Epoch: 1 [11008/46250]	Loss: 0.2077	LR: 0.023204
Training Epoch: 1 [11264/46250]	Loss: 0.2643	LR: 0.023757
Training Epoch: 1 [11520/46250]	Loss: 0.2923	LR: 0.024309
Training Epoch: 1 [11776/46250]	Loss: 0.2047	LR: 0.024862
Training Epoch: 1 [12032/46250]	Loss: 0.2111	LR: 0.025414
Training Epoch: 1 [12288/46250]	Loss: 0.2935	LR: 0.025967
Training Epoch: 1 [12544/46250]	Loss: 0.1820	LR: 0.026519
Training Epoch: 1 [12800/46250]	Loss: 0.3038	LR: 0.027072
Training Epoch: 1 [13056/46250]	Loss: 0.2740	LR: 0.027624
Training Epoch: 1 [13312/46250]	Loss: 0.1599	LR: 0.028177
Training Epoch: 1 [13568/46250]	Loss: 0.1693	LR: 0.028729
Training Epoch: 1 [13824/46250]	Loss: 0.2793	LR: 0.029282
Training Epoch: 1 [14080/46250]	Loss: 0.2632	LR: 0.029834
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Training Epoch: 1 [14592/46250]	Loss: 0.2595	LR: 0.030939
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Training Epoch: 1 [15104/46250]	Loss: 0.2155	LR: 0.032044
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Training Epoch: 1 [15616/46250]	Loss: 0.2095	LR: 0.033149
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Training Epoch: 1 [16384/46250]	Loss: 0.2168	LR: 0.034807
Training Epoch: 1 [16640/46250]	Loss: 0.2710	LR: 0.035359
Training Epoch: 1 [16896/46250]	Loss: 0.2049	LR: 0.035912
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Training Epoch: 1 [19456/46250]	Loss: 0.2742	LR: 0.041436
Training Epoch: 1 [19712/46250]	Loss: 0.1600	LR: 0.041989
Training Epoch: 1 [19968/46250]	Loss: 0.2511	LR: 0.042541
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Training Epoch: 1 [20736/46250]	Loss: 0.2690	LR: 0.044199
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Training Epoch: 1 [22016/46250]	Loss: 0.2744	LR: 0.046961
Training Epoch: 1 [22272/46250]	Loss: 0.2606	LR: 0.047514
Training Epoch: 1 [22528/46250]	Loss: 0.3271	LR: 0.048066
Training Epoch: 1 [22784/46250]	Loss: 0.2950	LR: 0.048619
Training Epoch: 1 [23040/46250]	Loss: 0.2064	LR: 0.049171
Training Epoch: 1 [23296/46250]	Loss: 0.2053	LR: 0.049724
Training Epoch: 1 [23552/46250]	Loss: 0.2339	LR: 0.050276
Training Epoch: 1 [23808/46250]	Loss: 0.2740	LR: 0.050829
Training Epoch: 1 [24064/46250]	Loss: 0.2077	LR: 0.051381
Training Epoch: 1 [24320/46250]	Loss: 0.4194	LR: 0.051934
Training Epoch: 1 [24576/46250]	Loss: 0.2885	LR: 0.052486
Training Epoch: 1 [24832/46250]	Loss: 0.3280	LR: 0.053039
Training Epoch: 1 [25088/46250]	Loss: 0.1917	LR: 0.053591
Training Epoch: 1 [25344/46250]	Loss: 0.3517	LR: 0.054144
Training Epoch: 1 [25600/46250]	Loss: 0.2671	LR: 0.054696
Training Epoch: 1 [25856/46250]	Loss: 0.2646	LR: 0.055249
Training Epoch: 1 [26112/46250]	Loss: 0.2905	LR: 0.055801
Training Epoch: 1 [26368/46250]	Loss: 0.1688	LR: 0.056354
Training Epoch: 1 [26624/46250]	Loss: 0.2940	LR: 0.056906
Training Epoch: 1 [26880/46250]	Loss: 0.2086	LR: 0.057459
Training Epoch: 1 [27136/46250]	Loss: 0.1676	LR: 0.058011
Training Epoch: 1 [27392/46250]	Loss: 0.1334	LR: 0.058564
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Training Epoch: 1 [27904/46250]	Loss: 0.2520	LR: 0.059669
Training Epoch: 1 [28160/46250]	Loss: 0.1672	LR: 0.060221
Training Epoch: 1 [28416/46250]	Loss: 0.1707	LR: 0.060773
Training Epoch: 1 [28672/46250]	Loss: 0.2573	LR: 0.061326
Training Epoch: 1 [28928/46250]	Loss: 0.1987	LR: 0.061878
Training Epoch: 1 [29184/46250]	Loss: 0.2034	LR: 0.062431
Training Epoch: 1 [29440/46250]	Loss: 0.1780	LR: 0.062983
Training Epoch: 1 [29696/46250]	Loss: 0.1296	LR: 0.063536
Training Epoch: 1 [29952/46250]	Loss: 0.2096	LR: 0.064088
Training Epoch: 1 [30208/46250]	Loss: 0.1671	LR: 0.064641
Training Epoch: 1 [30464/46250]	Loss: 0.2829	LR: 0.065193
Training Epoch: 1 [30720/46250]	Loss: 0.3070	LR: 0.065746
Training Epoch: 1 [30976/46250]	Loss: 0.2520	LR: 0.066298
Training Epoch: 1 [31232/46250]	Loss: 0.2024	LR: 0.066851
Training Epoch: 1 [31488/46250]	Loss: 0.2516	LR: 0.067403
Training Epoch: 1 [31744/46250]	Loss: 0.1824	LR: 0.067956
Training Epoch: 1 [32000/46250]	Loss: 0.3331	LR: 0.068508
Training Epoch: 1 [32256/46250]	Loss: 0.2843	LR: 0.069061
Training Epoch: 1 [32512/46250]	Loss: 0.2622	LR: 0.069613
Training Epoch: 1 [32768/46250]	Loss: 0.2979	LR: 0.070166
Training Epoch: 1 [33024/46250]	Loss: 0.2285	LR: 0.070718
Training Epoch: 1 [33280/46250]	Loss: 0.2164	LR: 0.071271
Training Epoch: 1 [33536/46250]	Loss: 0.2016	LR: 0.071823
Training Epoch: 1 [33792/46250]	Loss: 0.2866	LR: 0.072376
Training Epoch: 1 [34048/46250]	Loss: 0.2781	LR: 0.072928
Training Epoch: 1 [34304/46250]	Loss: 0.4185	LR: 0.073481
Training Epoch: 1 [34560/46250]	Loss: 0.2686	LR: 0.074033
Training Epoch: 1 [34816/46250]	Loss: 0.2827	LR: 0.074586
Training Epoch: 1 [35072/46250]	Loss: 0.3855	LR: 0.075138
Training Epoch: 1 [35328/46250]	Loss: 0.3228	LR: 0.075691
Training Epoch: 1 [35584/46250]	Loss: 0.2206	LR: 0.076243
Training Epoch: 1 [35840/46250]	Loss: 0.2081	LR: 0.076796
Training Epoch: 1 [36096/46250]	Loss: 0.2601	LR: 0.077348
Training Epoch: 1 [36352/46250]	Loss: 0.1726	LR: 0.077901
Training Epoch: 1 [36608/46250]	Loss: 0.2124	LR: 0.078453
Training Epoch: 1 [36864/46250]	Loss: 0.2568	LR: 0.079006
Training Epoch: 1 [37120/46250]	Loss: 0.2262	LR: 0.079558
Training Epoch: 1 [37376/46250]	Loss: 0.2306	LR: 0.080110
Training Epoch: 1 [37632/46250]	Loss: 0.2352	LR: 0.080663
Training Epoch: 1 [37888/46250]	Loss: 0.2253	LR: 0.081215
Training Epoch: 1 [38144/46250]	Loss: 0.2519	LR: 0.081768
Training Epoch: 1 [38400/46250]	Loss: 0.2966	LR: 0.082320
Training Epoch: 1 [38656/46250]	Loss: 0.4428	LR: 0.082873
Training Epoch: 1 [38912/46250]	Loss: 0.3827	LR: 0.083425
Training Epoch: 1 [39168/46250]	Loss: 0.4533	LR: 0.083978
Training Epoch: 1 [39424/46250]	Loss: 0.2604	LR: 0.084530
Training Epoch: 1 [39680/46250]	Loss: 0.4076	LR: 0.085083
Training Epoch: 1 [39936/46250]	Loss: 0.3709	LR: 0.085635
Training Epoch: 1 [40192/46250]	Loss: 0.2464	LR: 0.086188
Training Epoch: 1 [40448/46250]	Loss: 0.1961	LR: 0.086740
Training Epoch: 1 [40704/46250]	Loss: 0.2662	LR: 0.087293
Training Epoch: 1 [40960/46250]	Loss: 0.3175	LR: 0.087845
Training Epoch: 1 [41216/46250]	Loss: 0.2484	LR: 0.088398
Training Epoch: 1 [41472/46250]	Loss: 0.2590	LR: 0.088950
Training Epoch: 1 [41728/46250]	Loss: 0.3916	LR: 0.089503
Training Epoch: 1 [41984/46250]	Loss: 0.2589	LR: 0.090055
Training Epoch: 1 [42240/46250]	Loss: 0.2613	LR: 0.090608
Training Epoch: 1 [42496/46250]	Loss: 0.4262	LR: 0.091160
Training Epoch: 1 [42752/46250]	Loss: 0.3240	LR: 0.091713
Training Epoch: 1 [43008/46250]	Loss: 0.3240	LR: 0.092265
Training Epoch: 1 [43264/46250]	Loss: 0.2188	LR: 0.092818
Training Epoch: 1 [43520/46250]	Loss: 0.3045	LR: 0.093370
Training Epoch: 1 [43776/46250]	Loss: 0.2390	LR: 0.093923
Training Epoch: 1 [44032/46250]	Loss: 0.2958	LR: 0.094475
Training Epoch: 1 [44288/46250]	Loss: 0.4039	LR: 0.095028
Training Epoch: 1 [44544/46250]	Loss: 0.3143	LR: 0.095580
Training Epoch: 1 [44800/46250]	Loss: 0.3626	LR: 0.096133
Training Epoch: 1 [45056/46250]	Loss: 0.2404	LR: 0.096685
Training Epoch: 1 [45312/46250]	Loss: 0.3151	LR: 0.097238
Training Epoch: 1 [45568/46250]	Loss: 0.2055	LR: 0.097790
Training Epoch: 1 [45824/46250]	Loss: 0.4024	LR: 0.098343
Training Epoch: 1 [46080/46250]	Loss: 0.1826	LR: 0.098895
Training Epoch: 1 [46250/46250]	Loss: 0.2399	LR: 0.099448
Epoch 1 - Average Train Loss: 0.3777, Train Accuracy: 0.8790
Epoch 1 training time consumed: 335.53s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0009, Accuracy: 0.9280, Time consumed:23.64s
Saving weights file to checkpoint/retrain/ViT/Friday_18_July_2025_03h_06m_42s/ViT-Cifar10-seed7-ret25-1-best.pth
Training Epoch: 2 [256/46250]	Loss: 0.2127	LR: 0.100000
Training Epoch: 2 [512/46250]	Loss: 0.2849	LR: 0.100000
Training Epoch: 2 [768/46250]	Loss: 0.2290	LR: 0.100000
Training Epoch: 2 [1024/46250]	Loss: 0.2086	LR: 0.100000
Training Epoch: 2 [1280/46250]	Loss: 0.2741	LR: 0.100000
Training Epoch: 2 [1536/46250]	Loss: 0.3457	LR: 0.100000
Training Epoch: 2 [1792/46250]	Loss: 0.2611	LR: 0.100000
Training Epoch: 2 [2048/46250]	Loss: 0.3835	LR: 0.100000
Training Epoch: 2 [2304/46250]	Loss: 0.3812	LR: 0.100000
Training Epoch: 2 [2560/46250]	Loss: 0.2547	LR: 0.100000
Training Epoch: 2 [2816/46250]	Loss: 0.3956	LR: 0.100000
Training Epoch: 2 [3072/46250]	Loss: 0.2891	LR: 0.100000
Training Epoch: 2 [3328/46250]	Loss: 0.3037	LR: 0.100000
Training Epoch: 2 [3584/46250]	Loss: 0.3520	LR: 0.100000
Training Epoch: 2 [3840/46250]	Loss: 0.3409	LR: 0.100000
Training Epoch: 2 [4096/46250]	Loss: 0.2906	LR: 0.100000
Training Epoch: 2 [4352/46250]	Loss: 0.2454	LR: 0.100000
Training Epoch: 2 [4608/46250]	Loss: 0.4561	LR: 0.100000
Training Epoch: 2 [4864/46250]	Loss: 0.3047	LR: 0.100000
Training Epoch: 2 [5120/46250]	Loss: 0.2751	LR: 0.100000
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Training Epoch: 2 [8448/46250]	Loss: 0.2121	LR: 0.100000
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Training Epoch: 2 [9472/46250]	Loss: 0.2947	LR: 0.100000
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Training Epoch: 2 [46250/46250]	Loss: 0.0763	LR: 0.100000
Epoch 2 - Average Train Loss: 0.2049, Train Accuracy: 0.9312
Epoch 2 training time consumed: 335.16s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0006, Accuracy: 0.9522, Time consumed:23.65s
Saving weights file to checkpoint/retrain/ViT/Friday_18_July_2025_03h_06m_42s/ViT-Cifar10-seed7-ret25-2-best.pth
Training Epoch: 3 [256/46250]	Loss: 0.1963	LR: 0.100000
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Training Epoch: 3 [46250/46250]	Loss: 0.1071	LR: 0.100000
Epoch 3 - Average Train Loss: 0.1538, Train Accuracy: 0.9477
Epoch 3 training time consumed: 335.42s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0004, Accuracy: 0.9631, Time consumed:23.64s
Saving weights file to checkpoint/retrain/ViT/Friday_18_July_2025_03h_06m_42s/ViT-Cifar10-seed7-ret25-3-best.pth
Training Epoch: 4 [256/46250]	Loss: 0.0807	LR: 0.100000
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Training Epoch: 4 [8448/46250]	Loss: 0.1482	LR: 0.100000
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Training Epoch: 4 [9472/46250]	Loss: 0.1141	LR: 0.100000
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Training Epoch: 4 [11008/46250]	Loss: 0.2300	LR: 0.100000
Training Epoch: 4 [11264/46250]	Loss: 0.1890	LR: 0.100000
Training Epoch: 4 [11520/46250]	Loss: 0.2091	LR: 0.100000
Training Epoch: 4 [11776/46250]	Loss: 0.1478	LR: 0.100000
Training Epoch: 4 [12032/46250]	Loss: 0.3132	LR: 0.100000
Training Epoch: 4 [12288/46250]	Loss: 0.1742	LR: 0.100000
Training Epoch: 4 [12544/46250]	Loss: 0.1082	LR: 0.100000
Training Epoch: 4 [12800/46250]	Loss: 0.2402	LR: 0.100000
Training Epoch: 4 [13056/46250]	Loss: 0.2687	LR: 0.100000
Training Epoch: 4 [13312/46250]	Loss: 0.1894	LR: 0.100000
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Training Epoch: 4 [16640/46250]	Loss: 0.1322	LR: 0.100000
Training Epoch: 4 [16896/46250]	Loss: 0.0866	LR: 0.100000
Training Epoch: 4 [17152/46250]	Loss: 0.1095	LR: 0.100000
Training Epoch: 4 [17408/46250]	Loss: 0.1394	LR: 0.100000
Training Epoch: 4 [17664/46250]	Loss: 0.2174	LR: 0.100000
Training Epoch: 4 [17920/46250]	Loss: 0.3199	LR: 0.100000
Training Epoch: 4 [18176/46250]	Loss: 0.1606	LR: 0.100000
Training Epoch: 4 [18432/46250]	Loss: 0.1021	LR: 0.100000
Training Epoch: 4 [18688/46250]	Loss: 0.2378	LR: 0.100000
Training Epoch: 4 [18944/46250]	Loss: 0.2385	LR: 0.100000
Training Epoch: 4 [19200/46250]	Loss: 0.1269	LR: 0.100000
Training Epoch: 4 [19456/46250]	Loss: 0.2839	LR: 0.100000
Training Epoch: 4 [19712/46250]	Loss: 0.2611	LR: 0.100000
Training Epoch: 4 [19968/46250]	Loss: 0.1752	LR: 0.100000
Training Epoch: 4 [20224/46250]	Loss: 0.1390	LR: 0.100000
Training Epoch: 4 [20480/46250]	Loss: 0.1873	LR: 0.100000
Training Epoch: 4 [20736/46250]	Loss: 0.2100	LR: 0.100000
Training Epoch: 4 [20992/46250]	Loss: 0.1665	LR: 0.100000
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Training Epoch: 4 [21504/46250]	Loss: 0.1687	LR: 0.100000
Training Epoch: 4 [21760/46250]	Loss: 0.1935	LR: 0.100000
Training Epoch: 4 [22016/46250]	Loss: 0.1899	LR: 0.100000
Training Epoch: 4 [22272/46250]	Loss: 0.1755	LR: 0.100000
Training Epoch: 4 [22528/46250]	Loss: 0.2612	LR: 0.100000
Training Epoch: 4 [22784/46250]	Loss: 0.2166	LR: 0.100000
Training Epoch: 4 [23040/46250]	Loss: 0.2074	LR: 0.100000
Training Epoch: 4 [23296/46250]	Loss: 0.1635	LR: 0.100000
Training Epoch: 4 [23552/46250]	Loss: 0.2867	LR: 0.100000
Training Epoch: 4 [23808/46250]	Loss: 0.1730	LR: 0.100000
Training Epoch: 4 [24064/46250]	Loss: 0.2174	LR: 0.100000
Training Epoch: 4 [24320/46250]	Loss: 0.1427	LR: 0.100000
Training Epoch: 4 [24576/46250]	Loss: 0.2507	LR: 0.100000
Training Epoch: 4 [24832/46250]	Loss: 0.1048	LR: 0.100000
Training Epoch: 4 [25088/46250]	Loss: 0.2224	LR: 0.100000
Training Epoch: 4 [25344/46250]	Loss: 0.1233	LR: 0.100000
Training Epoch: 4 [25600/46250]	Loss: 0.1573	LR: 0.100000
Training Epoch: 4 [25856/46250]	Loss: 0.1437	LR: 0.100000
Training Epoch: 4 [26112/46250]	Loss: 0.2402	LR: 0.100000
Training Epoch: 4 [26368/46250]	Loss: 0.2062	LR: 0.100000
Training Epoch: 4 [26624/46250]	Loss: 0.1822	LR: 0.100000
Training Epoch: 4 [26880/46250]	Loss: 0.1116	LR: 0.100000
Training Epoch: 4 [27136/46250]	Loss: 0.1668	LR: 0.100000
Training Epoch: 4 [27392/46250]	Loss: 0.1498	LR: 0.100000
Training Epoch: 4 [27648/46250]	Loss: 0.2504	LR: 0.100000
Training Epoch: 4 [27904/46250]	Loss: 0.1565	LR: 0.100000
Training Epoch: 4 [28160/46250]	Loss: 0.0921	LR: 0.100000
Training Epoch: 4 [28416/46250]	Loss: 0.1686	LR: 0.100000
Training Epoch: 4 [28672/46250]	Loss: 0.1836	LR: 0.100000
Training Epoch: 4 [28928/46250]	Loss: 0.1991	LR: 0.100000
Training Epoch: 4 [29184/46250]	Loss: 0.1231	LR: 0.100000
Training Epoch: 4 [29440/46250]	Loss: 0.2335	LR: 0.100000
Training Epoch: 4 [29696/46250]	Loss: 0.1236	LR: 0.100000
Training Epoch: 4 [29952/46250]	Loss: 0.1294	LR: 0.100000
Training Epoch: 4 [30208/46250]	Loss: 0.1546	LR: 0.100000
Training Epoch: 4 [30464/46250]	Loss: 0.3306	LR: 0.100000
Training Epoch: 4 [30720/46250]	Loss: 0.1389	LR: 0.100000
Training Epoch: 4 [30976/46250]	Loss: 0.1820	LR: 0.100000
Training Epoch: 4 [31232/46250]	Loss: 0.1611	LR: 0.100000
Training Epoch: 4 [31488/46250]	Loss: 0.2176	LR: 0.100000
Training Epoch: 4 [31744/46250]	Loss: 0.2661	LR: 0.100000
Training Epoch: 4 [32000/46250]	Loss: 0.1150	LR: 0.100000
Training Epoch: 4 [32256/46250]	Loss: 0.1254	LR: 0.100000
Training Epoch: 4 [32512/46250]	Loss: 0.1989	LR: 0.100000
Training Epoch: 4 [32768/46250]	Loss: 0.1361	LR: 0.100000
Training Epoch: 4 [33024/46250]	Loss: 0.1452	LR: 0.100000
Training Epoch: 4 [33280/46250]	Loss: 0.1839	LR: 0.100000
Training Epoch: 4 [33536/46250]	Loss: 0.1391	LR: 0.100000
Training Epoch: 4 [33792/46250]	Loss: 0.1621	LR: 0.100000
Training Epoch: 4 [34048/46250]	Loss: 0.2055	LR: 0.100000
Training Epoch: 4 [34304/46250]	Loss: 0.1633	LR: 0.100000
Training Epoch: 4 [34560/46250]	Loss: 0.2018	LR: 0.100000
Training Epoch: 4 [34816/46250]	Loss: 0.1699	LR: 0.100000
Training Epoch: 4 [35072/46250]	Loss: 0.1851	LR: 0.100000
Training Epoch: 4 [35328/46250]	Loss: 0.1311	LR: 0.100000
Training Epoch: 4 [35584/46250]	Loss: 0.1570	LR: 0.100000
Training Epoch: 4 [35840/46250]	Loss: 0.2006	LR: 0.100000
Training Epoch: 4 [36096/46250]	Loss: 0.1797	LR: 0.100000
Training Epoch: 4 [36352/46250]	Loss: 0.1508	LR: 0.100000
Training Epoch: 4 [36608/46250]	Loss: 0.1296	LR: 0.100000
Training Epoch: 4 [36864/46250]	Loss: 0.1564	LR: 0.100000
Training Epoch: 4 [37120/46250]	Loss: 0.1577	LR: 0.100000
Training Epoch: 4 [37376/46250]	Loss: 0.2293	LR: 0.100000
Training Epoch: 4 [37632/46250]	Loss: 0.1341	LR: 0.100000
Training Epoch: 4 [37888/46250]	Loss: 0.1752	LR: 0.100000
Training Epoch: 4 [38144/46250]	Loss: 0.2213	LR: 0.100000
Training Epoch: 4 [38400/46250]	Loss: 0.0741	LR: 0.100000
Training Epoch: 4 [38656/46250]	Loss: 0.2447	LR: 0.100000
Training Epoch: 4 [38912/46250]	Loss: 0.2283	LR: 0.100000
Training Epoch: 4 [39168/46250]	Loss: 0.1352	LR: 0.100000
Training Epoch: 4 [39424/46250]	Loss: 0.1860	LR: 0.100000
Training Epoch: 4 [39680/46250]	Loss: 0.2093	LR: 0.100000
Training Epoch: 4 [39936/46250]	Loss: 0.1385	LR: 0.100000
Training Epoch: 4 [40192/46250]	Loss: 0.1164	LR: 0.100000
Training Epoch: 4 [40448/46250]	Loss: 0.1532	LR: 0.100000
Training Epoch: 4 [40704/46250]	Loss: 0.0939	LR: 0.100000
Training Epoch: 4 [40960/46250]	Loss: 0.1256	LR: 0.100000
Training Epoch: 4 [41216/46250]	Loss: 0.2089	LR: 0.100000
Training Epoch: 4 [41472/46250]	Loss: 0.1734	LR: 0.100000
Training Epoch: 4 [41728/46250]	Loss: 0.2703	LR: 0.100000
Training Epoch: 4 [41984/46250]	Loss: 0.0808	LR: 0.100000
Training Epoch: 4 [42240/46250]	Loss: 0.2174	LR: 0.100000
Training Epoch: 4 [42496/46250]	Loss: 0.2275	LR: 0.100000
Training Epoch: 4 [42752/46250]	Loss: 0.2104	LR: 0.100000
Training Epoch: 4 [43008/46250]	Loss: 0.2646	LR: 0.100000
Training Epoch: 4 [43264/46250]	Loss: 0.1940	LR: 0.100000
Training Epoch: 4 [43520/46250]	Loss: 0.2696	LR: 0.100000
Training Epoch: 4 [43776/46250]	Loss: 0.2650	LR: 0.100000
Training Epoch: 4 [44032/46250]	Loss: 0.2348	LR: 0.100000
Training Epoch: 4 [44288/46250]	Loss: 0.2149	LR: 0.100000
Training Epoch: 4 [44544/46250]	Loss: 0.1210	LR: 0.100000
Training Epoch: 4 [44800/46250]	Loss: 0.1321	LR: 0.100000
Training Epoch: 4 [45056/46250]	Loss: 0.1449	LR: 0.100000
Training Epoch: 4 [45312/46250]	Loss: 0.1753	LR: 0.100000
Training Epoch: 4 [45568/46250]	Loss: 0.1755	LR: 0.100000
Training Epoch: 4 [45824/46250]	Loss: 0.1428	LR: 0.100000
Training Epoch: 4 [46080/46250]	Loss: 0.1215	LR: 0.100000
Training Epoch: 4 [46250/46250]	Loss: 0.2066	LR: 0.100000
Epoch 4 - Average Train Loss: 0.1675, Train Accuracy: 0.9435
Epoch 4 training time consumed: 334.48s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0005, Accuracy: 0.9552, Time consumed:23.56s
Training Epoch: 5 [256/46250]	Loss: 0.0783	LR: 0.100000
Training Epoch: 5 [512/46250]	Loss: 0.1051	LR: 0.100000
Training Epoch: 5 [768/46250]	Loss: 0.0653	LR: 0.100000
Training Epoch: 5 [1024/46250]	Loss: 0.0871	LR: 0.100000
Training Epoch: 5 [1280/46250]	Loss: 0.1491	LR: 0.100000
Training Epoch: 5 [1536/46250]	Loss: 0.2072	LR: 0.100000
Training Epoch: 5 [1792/46250]	Loss: 0.1781	LR: 0.100000
Training Epoch: 5 [2048/46250]	Loss: 0.1633	LR: 0.100000
Training Epoch: 5 [2304/46250]	Loss: 0.0694	LR: 0.100000
Training Epoch: 5 [2560/46250]	Loss: 0.2041	LR: 0.100000
Training Epoch: 5 [2816/46250]	Loss: 0.1352	LR: 0.100000
Training Epoch: 5 [3072/46250]	Loss: 0.1357	LR: 0.100000
Training Epoch: 5 [3328/46250]	Loss: 0.1601	LR: 0.100000
Training Epoch: 5 [3584/46250]	Loss: 0.2495	LR: 0.100000
Training Epoch: 5 [3840/46250]	Loss: 0.2104	LR: 0.100000
Training Epoch: 5 [4096/46250]	Loss: 0.0832	LR: 0.100000
Training Epoch: 5 [4352/46250]	Loss: 0.1339	LR: 0.100000
Training Epoch: 5 [4608/46250]	Loss: 0.1495	LR: 0.100000
Training Epoch: 5 [4864/46250]	Loss: 0.1403	LR: 0.100000
Training Epoch: 5 [5120/46250]	Loss: 0.1129	LR: 0.100000
Training Epoch: 5 [5376/46250]	Loss: 0.1242	LR: 0.100000
Training Epoch: 5 [5632/46250]	Loss: 0.1883	LR: 0.100000
Training Epoch: 5 [5888/46250]	Loss: 0.1174	LR: 0.100000
Training Epoch: 5 [6144/46250]	Loss: 0.1577	LR: 0.100000
Training Epoch: 5 [6400/46250]	Loss: 0.0954	LR: 0.100000
Training Epoch: 5 [6656/46250]	Loss: 0.1451	LR: 0.100000
Training Epoch: 5 [6912/46250]	Loss: 0.1783	LR: 0.100000
Training Epoch: 5 [7168/46250]	Loss: 0.1309	LR: 0.100000
Training Epoch: 5 [7424/46250]	Loss: 0.1449	LR: 0.100000
Training Epoch: 5 [7680/46250]	Loss: 0.1150	LR: 0.100000
Training Epoch: 5 [7936/46250]	Loss: 0.1355	LR: 0.100000
Training Epoch: 5 [8192/46250]	Loss: 0.1433	LR: 0.100000
Training Epoch: 5 [8448/46250]	Loss: 0.1312	LR: 0.100000
Training Epoch: 5 [8704/46250]	Loss: 0.1736	LR: 0.100000
Training Epoch: 5 [8960/46250]	Loss: 0.0854	LR: 0.100000
Training Epoch: 5 [9216/46250]	Loss: 0.1376	LR: 0.100000
Training Epoch: 5 [9472/46250]	Loss: 0.1288	LR: 0.100000
Training Epoch: 5 [9728/46250]	Loss: 0.0981	LR: 0.100000
Training Epoch: 5 [9984/46250]	Loss: 0.1358	LR: 0.100000
Training Epoch: 5 [10240/46250]	Loss: 0.1885	LR: 0.100000
Training Epoch: 5 [10496/46250]	Loss: 0.0700	LR: 0.100000
Training Epoch: 5 [10752/46250]	Loss: 0.0808	LR: 0.100000
Training Epoch: 5 [11008/46250]	Loss: 0.1798	LR: 0.100000
Training Epoch: 5 [11264/46250]	Loss: 0.1461	LR: 0.100000
Training Epoch: 5 [11520/46250]	Loss: 0.1546	LR: 0.100000
Training Epoch: 5 [11776/46250]	Loss: 0.1713	LR: 0.100000
Training Epoch: 5 [12032/46250]	Loss: 0.1226	LR: 0.100000
Training Epoch: 5 [12288/46250]	Loss: 0.1469	LR: 0.100000
Training Epoch: 5 [12544/46250]	Loss: 0.1570	LR: 0.100000
Training Epoch: 5 [12800/46250]	Loss: 0.1630	LR: 0.100000
Training Epoch: 5 [13056/46250]	Loss: 0.1713	LR: 0.100000
Training Epoch: 5 [13312/46250]	Loss: 0.1219	LR: 0.100000
Training Epoch: 5 [13568/46250]	Loss: 0.1690	LR: 0.100000
Training Epoch: 5 [13824/46250]	Loss: 0.1470	LR: 0.100000
Training Epoch: 5 [14080/46250]	Loss: 0.1136	LR: 0.100000
Training Epoch: 5 [14336/46250]	Loss: 0.1294	LR: 0.100000
Training Epoch: 5 [14592/46250]	Loss: 0.1249	LR: 0.100000
Training Epoch: 5 [14848/46250]	Loss: 0.1842	LR: 0.100000
Training Epoch: 5 [15104/46250]	Loss: 0.1549	LR: 0.100000
Training Epoch: 5 [15360/46250]	Loss: 0.1732	LR: 0.100000
Training Epoch: 5 [15616/46250]	Loss: 0.1302	LR: 0.100000
Training Epoch: 5 [15872/46250]	Loss: 0.1563	LR: 0.100000
Training Epoch: 5 [16128/46250]	Loss: 0.1432	LR: 0.100000
Training Epoch: 5 [16384/46250]	Loss: 0.1025	LR: 0.100000
Training Epoch: 5 [16640/46250]	Loss: 0.1673	LR: 0.100000
Training Epoch: 5 [16896/46250]	Loss: 0.1404	LR: 0.100000
Training Epoch: 5 [17152/46250]	Loss: 0.1277	LR: 0.100000
Training Epoch: 5 [17408/46250]	Loss: 0.1600	LR: 0.100000
Training Epoch: 5 [17664/46250]	Loss: 0.1334	LR: 0.100000
Training Epoch: 5 [17920/46250]	Loss: 0.2318	LR: 0.100000
Training Epoch: 5 [18176/46250]	Loss: 0.0869	LR: 0.100000
Training Epoch: 5 [18432/46250]	Loss: 0.1835	LR: 0.100000
Training Epoch: 5 [18688/46250]	Loss: 0.1327	LR: 0.100000
Training Epoch: 5 [18944/46250]	Loss: 0.1639	LR: 0.100000
Training Epoch: 5 [19200/46250]	Loss: 0.1351	LR: 0.100000
Training Epoch: 5 [19456/46250]	Loss: 0.0963	LR: 0.100000
Training Epoch: 5 [19712/46250]	Loss: 0.1527	LR: 0.100000
Training Epoch: 5 [19968/46250]	Loss: 0.1921	LR: 0.100000
Training Epoch: 5 [20224/46250]	Loss: 0.1912	LR: 0.100000
Training Epoch: 5 [20480/46250]	Loss: 0.1164	LR: 0.100000
Training Epoch: 5 [20736/46250]	Loss: 0.1755	LR: 0.100000
Training Epoch: 5 [20992/46250]	Loss: 0.1687	LR: 0.100000
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Training Epoch: 5 [21760/46250]	Loss: 0.1351	LR: 0.100000
Training Epoch: 5 [22016/46250]	Loss: 0.1708	LR: 0.100000
Training Epoch: 5 [22272/46250]	Loss: 0.1384	LR: 0.100000
Training Epoch: 5 [22528/46250]	Loss: 0.1273	LR: 0.100000
Training Epoch: 5 [22784/46250]	Loss: 0.1272	LR: 0.100000
Training Epoch: 5 [23040/46250]	Loss: 0.1742	LR: 0.100000
Training Epoch: 5 [23296/46250]	Loss: 0.1688	LR: 0.100000
Training Epoch: 5 [23552/46250]	Loss: 0.1643	LR: 0.100000
Training Epoch: 5 [23808/46250]	Loss: 0.1879	LR: 0.100000
Training Epoch: 5 [24064/46250]	Loss: 0.1496	LR: 0.100000
Training Epoch: 5 [24320/46250]	Loss: 0.1997	LR: 0.100000
Training Epoch: 5 [24576/46250]	Loss: 0.1304	LR: 0.100000
Training Epoch: 5 [24832/46250]	Loss: 0.1521	LR: 0.100000
Training Epoch: 5 [25088/46250]	Loss: 0.1107	LR: 0.100000
Training Epoch: 5 [25344/46250]	Loss: 0.1741	LR: 0.100000
Training Epoch: 5 [25600/46250]	Loss: 0.1290	LR: 0.100000
Training Epoch: 5 [25856/46250]	Loss: 0.1999	LR: 0.100000
Training Epoch: 5 [26112/46250]	Loss: 0.1880	LR: 0.100000
Training Epoch: 5 [26368/46250]	Loss: 0.1139	LR: 0.100000
Training Epoch: 5 [26624/46250]	Loss: 0.1397	LR: 0.100000
Training Epoch: 5 [26880/46250]	Loss: 0.1252	LR: 0.100000
Training Epoch: 5 [27136/46250]	Loss: 0.1999	LR: 0.100000
Training Epoch: 5 [27392/46250]	Loss: 0.1254	LR: 0.100000
Training Epoch: 5 [27648/46250]	Loss: 0.2424	LR: 0.100000
Training Epoch: 5 [27904/46250]	Loss: 0.1573	LR: 0.100000
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Training Epoch: 5 [28416/46250]	Loss: 0.1891	LR: 0.100000
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Training Epoch: 5 [28928/46250]	Loss: 0.1822	LR: 0.100000
Training Epoch: 5 [29184/46250]	Loss: 0.1800	LR: 0.100000
Training Epoch: 5 [29440/46250]	Loss: 0.1074	LR: 0.100000
Training Epoch: 5 [29696/46250]	Loss: 0.1051	LR: 0.100000
Training Epoch: 5 [29952/46250]	Loss: 0.1892	LR: 0.100000
Training Epoch: 5 [30208/46250]	Loss: 0.0884	LR: 0.100000
Training Epoch: 5 [30464/46250]	Loss: 0.1639	LR: 0.100000
Training Epoch: 5 [30720/46250]	Loss: 0.1287	LR: 0.100000
Training Epoch: 5 [30976/46250]	Loss: 0.0998	LR: 0.100000
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Training Epoch: 5 [31488/46250]	Loss: 0.1378	LR: 0.100000
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Training Epoch: 5 [32000/46250]	Loss: 0.1505	LR: 0.100000
Training Epoch: 5 [32256/46250]	Loss: 0.1404	LR: 0.100000
Training Epoch: 5 [32512/46250]	Loss: 0.0881	LR: 0.100000
Training Epoch: 5 [32768/46250]	Loss: 0.2069	LR: 0.100000
Training Epoch: 5 [33024/46250]	Loss: 0.1063	LR: 0.100000
Training Epoch: 5 [33280/46250]	Loss: 0.1191	LR: 0.100000
Training Epoch: 5 [33536/46250]	Loss: 0.2642	LR: 0.100000
Training Epoch: 5 [33792/46250]	Loss: 0.0863	LR: 0.100000
Training Epoch: 5 [34048/46250]	Loss: 0.2352	LR: 0.100000
Training Epoch: 5 [34304/46250]	Loss: 0.1731	LR: 0.100000
Training Epoch: 5 [34560/46250]	Loss: 0.1312	LR: 0.100000
Training Epoch: 5 [34816/46250]	Loss: 0.0883	LR: 0.100000
Training Epoch: 5 [35072/46250]	Loss: 0.1979	LR: 0.100000
Training Epoch: 5 [35328/46250]	Loss: 0.1484	LR: 0.100000
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Training Epoch: 5 [35840/46250]	Loss: 0.1325	LR: 0.100000
Training Epoch: 5 [36096/46250]	Loss: 0.1532	LR: 0.100000
Training Epoch: 5 [36352/46250]	Loss: 0.0971	LR: 0.100000
Training Epoch: 5 [36608/46250]	Loss: 0.1191	LR: 0.100000
Training Epoch: 5 [36864/46250]	Loss: 0.1737	LR: 0.100000
Training Epoch: 5 [37120/46250]	Loss: 0.1689	LR: 0.100000
Training Epoch: 5 [37376/46250]	Loss: 0.1187	LR: 0.100000
Training Epoch: 5 [37632/46250]	Loss: 0.2404	LR: 0.100000
Training Epoch: 5 [37888/46250]	Loss: 0.1470	LR: 0.100000
Training Epoch: 5 [38144/46250]	Loss: 0.2058	LR: 0.100000
Training Epoch: 5 [38400/46250]	Loss: 0.1710	LR: 0.100000
Training Epoch: 5 [38656/46250]	Loss: 0.1658	LR: 0.100000
Training Epoch: 5 [38912/46250]	Loss: 0.1559	LR: 0.100000
Training Epoch: 5 [39168/46250]	Loss: 0.1121	LR: 0.100000
Training Epoch: 5 [39424/46250]	Loss: 0.2272	LR: 0.100000
Training Epoch: 5 [39680/46250]	Loss: 0.2021	LR: 0.100000
Training Epoch: 5 [39936/46250]	Loss: 0.1524	LR: 0.100000
Training Epoch: 5 [40192/46250]	Loss: 0.1917	LR: 0.100000
Training Epoch: 5 [40448/46250]	Loss: 0.0996	LR: 0.100000
Training Epoch: 5 [40704/46250]	Loss: 0.1217	LR: 0.100000
Training Epoch: 5 [40960/46250]	Loss: 0.1642	LR: 0.100000
Training Epoch: 5 [41216/46250]	Loss: 0.1361	LR: 0.100000
Training Epoch: 5 [41472/46250]	Loss: 0.1164	LR: 0.100000
Training Epoch: 5 [41728/46250]	Loss: 0.1335	LR: 0.100000
Training Epoch: 5 [41984/46250]	Loss: 0.1520	LR: 0.100000
Training Epoch: 5 [42240/46250]	Loss: 0.2115	LR: 0.100000
Training Epoch: 5 [42496/46250]	Loss: 0.1517	LR: 0.100000
Training Epoch: 5 [42752/46250]	Loss: 0.2805	LR: 0.100000
Training Epoch: 5 [43008/46250]	Loss: 0.1717	LR: 0.100000
Training Epoch: 5 [43264/46250]	Loss: 0.0793	LR: 0.100000
Training Epoch: 5 [43520/46250]	Loss: 0.0915	LR: 0.100000
Training Epoch: 5 [43776/46250]	Loss: 0.2335	LR: 0.100000
Training Epoch: 5 [44032/46250]	Loss: 0.1841	LR: 0.100000
Training Epoch: 5 [44288/46250]	Loss: 0.1479	LR: 0.100000
Training Epoch: 5 [44544/46250]	Loss: 0.1576	LR: 0.100000
Training Epoch: 5 [44800/46250]	Loss: 0.2011	LR: 0.100000
Training Epoch: 5 [45056/46250]	Loss: 0.1889	LR: 0.100000
Training Epoch: 5 [45312/46250]	Loss: 0.1855	LR: 0.100000
Training Epoch: 5 [45568/46250]	Loss: 0.1490	LR: 0.100000
Training Epoch: 5 [45824/46250]	Loss: 0.1962	LR: 0.100000
Training Epoch: 5 [46080/46250]	Loss: 0.2079	LR: 0.100000
Training Epoch: 5 [46250/46250]	Loss: 0.2766	LR: 0.100000
Epoch 5 - Average Train Loss: 0.1515, Train Accuracy: 0.9484
Epoch 5 training time consumed: 335.07s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0005, Accuracy: 0.9548, Time consumed:23.69s
Training Epoch: 6 [256/46250]	Loss: 0.0896	LR: 0.100000
Training Epoch: 6 [512/46250]	Loss: 0.1935	LR: 0.100000
Training Epoch: 6 [768/46250]	Loss: 0.2091	LR: 0.100000
Training Epoch: 6 [1024/46250]	Loss: 0.1744	LR: 0.100000
Training Epoch: 6 [1280/46250]	Loss: 0.0614	LR: 0.100000
Training Epoch: 6 [1536/46250]	Loss: 0.1336	LR: 0.100000
Training Epoch: 6 [1792/46250]	Loss: 0.1699	LR: 0.100000
Training Epoch: 6 [2048/46250]	Loss: 0.1753	LR: 0.100000
Training Epoch: 6 [2304/46250]	Loss: 0.0675	LR: 0.100000
Training Epoch: 6 [2560/46250]	Loss: 0.1262	LR: 0.100000
Training Epoch: 6 [2816/46250]	Loss: 0.2730	LR: 0.100000
Training Epoch: 6 [3072/46250]	Loss: 0.1332	LR: 0.100000
Training Epoch: 6 [3328/46250]	Loss: 0.1379	LR: 0.100000
Training Epoch: 6 [3584/46250]	Loss: 0.2360	LR: 0.100000
Training Epoch: 6 [3840/46250]	Loss: 0.1821	LR: 0.100000
Training Epoch: 6 [4096/46250]	Loss: 0.1036	LR: 0.100000
Training Epoch: 6 [4352/46250]	Loss: 0.1766	LR: 0.100000
Training Epoch: 6 [4608/46250]	Loss: 0.1191	LR: 0.100000
Training Epoch: 6 [4864/46250]	Loss: 0.1651	LR: 0.100000
Training Epoch: 6 [5120/46250]	Loss: 0.1203	LR: 0.100000
Training Epoch: 6 [5376/46250]	Loss: 0.1119	LR: 0.100000
Training Epoch: 6 [5632/46250]	Loss: 0.1620	LR: 0.100000
Training Epoch: 6 [5888/46250]	Loss: 0.1086	LR: 0.100000
Training Epoch: 6 [6144/46250]	Loss: 0.1531	LR: 0.100000
Training Epoch: 6 [6400/46250]	Loss: 0.1387	LR: 0.100000
Training Epoch: 6 [6656/46250]	Loss: 0.1898	LR: 0.100000
Training Epoch: 6 [6912/46250]	Loss: 0.1121	LR: 0.100000
Training Epoch: 6 [7168/46250]	Loss: 0.1055	LR: 0.100000
Training Epoch: 6 [7424/46250]	Loss: 0.1400	LR: 0.100000
Training Epoch: 6 [7680/46250]	Loss: 0.1611	LR: 0.100000
Training Epoch: 6 [7936/46250]	Loss: 0.1863	LR: 0.100000
Training Epoch: 6 [8192/46250]	Loss: 0.1229	LR: 0.100000
Training Epoch: 6 [8448/46250]	Loss: 0.1498	LR: 0.100000
Training Epoch: 6 [8704/46250]	Loss: 0.1503	LR: 0.100000
Training Epoch: 6 [8960/46250]	Loss: 0.1381	LR: 0.100000
Training Epoch: 6 [9216/46250]	Loss: 0.1178	LR: 0.100000
Training Epoch: 6 [9472/46250]	Loss: 0.1114	LR: 0.100000
Training Epoch: 6 [9728/46250]	Loss: 0.1151	LR: 0.100000
Training Epoch: 6 [9984/46250]	Loss: 0.1544	LR: 0.100000
Training Epoch: 6 [10240/46250]	Loss: 0.1477	LR: 0.100000
Training Epoch: 6 [10496/46250]	Loss: 0.2366	LR: 0.100000
Training Epoch: 6 [10752/46250]	Loss: 0.1571	LR: 0.100000
Training Epoch: 6 [11008/46250]	Loss: 0.1763	LR: 0.100000
Training Epoch: 6 [11264/46250]	Loss: 0.1405	LR: 0.100000
Training Epoch: 6 [11520/46250]	Loss: 0.1228	LR: 0.100000
Training Epoch: 6 [11776/46250]	Loss: 0.1447	LR: 0.100000
Training Epoch: 6 [12032/46250]	Loss: 0.1342	LR: 0.100000
Training Epoch: 6 [12288/46250]	Loss: 0.1159	LR: 0.100000
Training Epoch: 6 [12544/46250]	Loss: 0.1065	LR: 0.100000
Training Epoch: 6 [12800/46250]	Loss: 0.1057	LR: 0.100000
Training Epoch: 6 [13056/46250]	Loss: 0.1261	LR: 0.100000
Training Epoch: 6 [13312/46250]	Loss: 0.1320	LR: 0.100000
Training Epoch: 6 [13568/46250]	Loss: 0.1048	LR: 0.100000
Training Epoch: 6 [13824/46250]	Loss: 0.1371	LR: 0.100000
Training Epoch: 6 [14080/46250]	Loss: 0.1160	LR: 0.100000
Training Epoch: 6 [14336/46250]	Loss: 0.0805	LR: 0.100000
Training Epoch: 6 [14592/46250]	Loss: 0.0845	LR: 0.100000
Training Epoch: 6 [14848/46250]	Loss: 0.2401	LR: 0.100000
Training Epoch: 6 [15104/46250]	Loss: 0.2028	LR: 0.100000
Training Epoch: 6 [15360/46250]	Loss: 0.1960	LR: 0.100000
Training Epoch: 6 [15616/46250]	Loss: 0.1396	LR: 0.100000
Training Epoch: 6 [15872/46250]	Loss: 0.1718	LR: 0.100000
Training Epoch: 6 [16128/46250]	Loss: 0.2272	LR: 0.100000
Training Epoch: 6 [16384/46250]	Loss: 0.2867	LR: 0.100000
Training Epoch: 6 [16640/46250]	Loss: 0.2366	LR: 0.100000
Training Epoch: 6 [16896/46250]	Loss: 0.1918	LR: 0.100000
Training Epoch: 6 [17152/46250]	Loss: 0.1859	LR: 0.100000
Training Epoch: 6 [17408/46250]	Loss: 0.2319	LR: 0.100000
Training Epoch: 6 [17664/46250]	Loss: 0.1453	LR: 0.100000
Training Epoch: 6 [17920/46250]	Loss: 0.1447	LR: 0.100000
Training Epoch: 6 [18176/46250]	Loss: 0.1791	LR: 0.100000
Training Epoch: 6 [18432/46250]	Loss: 0.1949	LR: 0.100000
Training Epoch: 6 [18688/46250]	Loss: 0.1961	LR: 0.100000
Training Epoch: 6 [18944/46250]	Loss: 0.2439	LR: 0.100000
Training Epoch: 6 [19200/46250]	Loss: 0.1834	LR: 0.100000
Training Epoch: 6 [19456/46250]	Loss: 0.1385	LR: 0.100000
Training Epoch: 6 [19712/46250]	Loss: 0.1572	LR: 0.100000
Training Epoch: 6 [19968/46250]	Loss: 0.1847	LR: 0.100000
Training Epoch: 6 [20224/46250]	Loss: 0.1251	LR: 0.100000
Training Epoch: 6 [20480/46250]	Loss: 0.1333	LR: 0.100000
Training Epoch: 6 [20736/46250]	Loss: 0.1563	LR: 0.100000
Training Epoch: 6 [20992/46250]	Loss: 0.1582	LR: 0.100000
Training Epoch: 6 [21248/46250]	Loss: 0.1335	LR: 0.100000
Training Epoch: 6 [21504/46250]	Loss: 0.2911	LR: 0.100000
Training Epoch: 6 [21760/46250]	Loss: 0.1501	LR: 0.100000
Training Epoch: 6 [22016/46250]	Loss: 0.1251	LR: 0.100000
Training Epoch: 6 [22272/46250]	Loss: 0.1891	LR: 0.100000
Training Epoch: 6 [22528/46250]	Loss: 0.1402	LR: 0.100000
Training Epoch: 6 [22784/46250]	Loss: 0.1346	LR: 0.100000
Training Epoch: 6 [23040/46250]	Loss: 0.1666	LR: 0.100000
Training Epoch: 6 [23296/46250]	Loss: 0.1958	LR: 0.100000
Training Epoch: 6 [23552/46250]	Loss: 0.2091	LR: 0.100000
Training Epoch: 6 [23808/46250]	Loss: 0.2196	LR: 0.100000
Training Epoch: 6 [24064/46250]	Loss: 0.1896	LR: 0.100000
Training Epoch: 6 [24320/46250]	Loss: 0.1947	LR: 0.100000
Training Epoch: 6 [24576/46250]	Loss: 0.1428	LR: 0.100000
Training Epoch: 6 [24832/46250]	Loss: 0.1508	LR: 0.100000
Training Epoch: 6 [25088/46250]	Loss: 0.1716	LR: 0.100000
Training Epoch: 6 [25344/46250]	Loss: 0.2082	LR: 0.100000
Training Epoch: 6 [25600/46250]	Loss: 0.1608	LR: 0.100000
Training Epoch: 6 [25856/46250]	Loss: 0.1863	LR: 0.100000
Training Epoch: 6 [26112/46250]	Loss: 0.1886	LR: 0.100000
Training Epoch: 6 [26368/46250]	Loss: 0.0924	LR: 0.100000
Training Epoch: 6 [26624/46250]	Loss: 0.1615	LR: 0.100000
Training Epoch: 6 [26880/46250]	Loss: 0.2615	LR: 0.100000
Training Epoch: 6 [27136/46250]	Loss: 0.1275	LR: 0.100000
Training Epoch: 6 [27392/46250]	Loss: 0.2466	LR: 0.100000
Training Epoch: 6 [27648/46250]	Loss: 0.1881	LR: 0.100000
Training Epoch: 6 [27904/46250]	Loss: 0.1491	LR: 0.100000
Training Epoch: 6 [28160/46250]	Loss: 0.1945	LR: 0.100000
Training Epoch: 6 [28416/46250]	Loss: 0.2791	LR: 0.100000
Training Epoch: 6 [28672/46250]	Loss: 0.1767	LR: 0.100000
Training Epoch: 6 [28928/46250]	Loss: 0.1758	LR: 0.100000
Training Epoch: 6 [29184/46250]	Loss: 0.1717	LR: 0.100000
Training Epoch: 6 [29440/46250]	Loss: 0.1729	LR: 0.100000
Training Epoch: 6 [29696/46250]	Loss: 0.2691	LR: 0.100000
Training Epoch: 6 [29952/46250]	Loss: 0.1748	LR: 0.100000
Training Epoch: 6 [30208/46250]	Loss: 0.2287	LR: 0.100000
Training Epoch: 6 [30464/46250]	Loss: 0.1493	LR: 0.100000
Training Epoch: 6 [30720/46250]	Loss: 0.1681	LR: 0.100000
Training Epoch: 6 [30976/46250]	Loss: 0.1722	LR: 0.100000
Training Epoch: 6 [31232/46250]	Loss: 0.2095	LR: 0.100000
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Training Epoch: 6 [31744/46250]	Loss: 0.0941	LR: 0.100000
Training Epoch: 6 [32000/46250]	Loss: 0.2153	LR: 0.100000
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Training Epoch: 6 [32768/46250]	Loss: 0.1875	LR: 0.100000
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Training Epoch: 6 [33280/46250]	Loss: 0.2192	LR: 0.100000
Training Epoch: 6 [33536/46250]	Loss: 0.2066	LR: 0.100000
Training Epoch: 6 [33792/46250]	Loss: 0.2184	LR: 0.100000
Training Epoch: 6 [34048/46250]	Loss: 0.2300	LR: 0.100000
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Training Epoch: 6 [34560/46250]	Loss: 0.1868	LR: 0.100000
Training Epoch: 6 [34816/46250]	Loss: 0.1714	LR: 0.100000
Training Epoch: 6 [35072/46250]	Loss: 0.2477	LR: 0.100000
Training Epoch: 6 [35328/46250]	Loss: 0.1606	LR: 0.100000
Training Epoch: 6 [35584/46250]	Loss: 0.2110	LR: 0.100000
Training Epoch: 6 [35840/46250]	Loss: 0.2133	LR: 0.100000
Training Epoch: 6 [36096/46250]	Loss: 0.1336	LR: 0.100000
Training Epoch: 6 [36352/46250]	Loss: 0.2372	LR: 0.100000
Training Epoch: 6 [36608/46250]	Loss: 0.2381	LR: 0.100000
Training Epoch: 6 [36864/46250]	Loss: 0.2499	LR: 0.100000
Training Epoch: 6 [37120/46250]	Loss: 0.1760	LR: 0.100000
Training Epoch: 6 [37376/46250]	Loss: 0.1222	LR: 0.100000
Training Epoch: 6 [37632/46250]	Loss: 0.2302	LR: 0.100000
Training Epoch: 6 [37888/46250]	Loss: 0.1751	LR: 0.100000
Training Epoch: 6 [38144/46250]	Loss: 0.2176	LR: 0.100000
Training Epoch: 6 [38400/46250]	Loss: 0.2225	LR: 0.100000
Training Epoch: 6 [38656/46250]	Loss: 0.2420	LR: 0.100000
Training Epoch: 6 [38912/46250]	Loss: 0.2612	LR: 0.100000
Training Epoch: 6 [39168/46250]	Loss: 0.1752	LR: 0.100000
Training Epoch: 6 [39424/46250]	Loss: 0.1938	LR: 0.100000
Training Epoch: 6 [39680/46250]	Loss: 0.1945	LR: 0.100000
Training Epoch: 6 [39936/46250]	Loss: 0.2484	LR: 0.100000
Training Epoch: 6 [40192/46250]	Loss: 0.1992	LR: 0.100000
Training Epoch: 6 [40448/46250]	Loss: 0.2346	LR: 0.100000
Training Epoch: 6 [40704/46250]	Loss: 0.2190	LR: 0.100000
Training Epoch: 6 [40960/46250]	Loss: 0.1593	LR: 0.100000
Training Epoch: 6 [41216/46250]	Loss: 0.1454	LR: 0.100000
Training Epoch: 6 [41472/46250]	Loss: 0.3120	LR: 0.100000
Training Epoch: 6 [41728/46250]	Loss: 0.2040	LR: 0.100000
Training Epoch: 6 [41984/46250]	Loss: 0.1336	LR: 0.100000
Training Epoch: 6 [42240/46250]	Loss: 0.2112	LR: 0.100000
Training Epoch: 6 [42496/46250]	Loss: 0.2005	LR: 0.100000
Training Epoch: 6 [42752/46250]	Loss: 0.1424	LR: 0.100000
Training Epoch: 6 [43008/46250]	Loss: 0.2040	LR: 0.100000
Training Epoch: 6 [43264/46250]	Loss: 0.1752	LR: 0.100000
Training Epoch: 6 [43520/46250]	Loss: 0.2110	LR: 0.100000
Training Epoch: 6 [43776/46250]	Loss: 0.1581	LR: 0.100000
Training Epoch: 6 [44032/46250]	Loss: 0.1862	LR: 0.100000
Training Epoch: 6 [44288/46250]	Loss: 0.2076	LR: 0.100000
Training Epoch: 6 [44544/46250]	Loss: 0.1434	LR: 0.100000
Training Epoch: 6 [44800/46250]	Loss: 0.1964	LR: 0.100000
Training Epoch: 6 [45056/46250]	Loss: 0.2051	LR: 0.100000
Training Epoch: 6 [45312/46250]	Loss: 0.1928	LR: 0.100000
Training Epoch: 6 [45568/46250]	Loss: 0.1603	LR: 0.100000
Training Epoch: 6 [45824/46250]	Loss: 0.4115	LR: 0.100000
Training Epoch: 6 [46080/46250]	Loss: 0.2566	LR: 0.100000
Training Epoch: 6 [46250/46250]	Loss: 0.2496	LR: 0.100000
Epoch 6 - Average Train Loss: 0.1773, Train Accuracy: 0.9383
Epoch 6 training time consumed: 335.80s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0009, Accuracy: 0.9213, Time consumed:23.64s
Training Epoch: 7 [256/46250]	Loss: 0.3429	LR: 0.020000
Training Epoch: 7 [512/46250]	Loss: 0.2361	LR: 0.020000
Training Epoch: 7 [768/46250]	Loss: 0.2129	LR: 0.020000
Training Epoch: 7 [1024/46250]	Loss: 0.1599	LR: 0.020000
Training Epoch: 7 [1280/46250]	Loss: 0.1165	LR: 0.020000
Training Epoch: 7 [1536/46250]	Loss: 0.1643	LR: 0.020000
Training Epoch: 7 [1792/46250]	Loss: 0.1442	LR: 0.020000
Training Epoch: 7 [2048/46250]	Loss: 0.1477	LR: 0.020000
Training Epoch: 7 [2304/46250]	Loss: 0.0978	LR: 0.020000
Training Epoch: 7 [2560/46250]	Loss: 0.1039	LR: 0.020000
Training Epoch: 7 [2816/46250]	Loss: 0.0920	LR: 0.020000
Training Epoch: 7 [3072/46250]	Loss: 0.0891	LR: 0.020000
Training Epoch: 7 [3328/46250]	Loss: 0.0892	LR: 0.020000
Training Epoch: 7 [3584/46250]	Loss: 0.1115	LR: 0.020000
Training Epoch: 7 [3840/46250]	Loss: 0.0553	LR: 0.020000
Training Epoch: 7 [4096/46250]	Loss: 0.0445	LR: 0.020000
Training Epoch: 7 [4352/46250]	Loss: 0.0540	LR: 0.020000
Training Epoch: 7 [4608/46250]	Loss: 0.0875	LR: 0.020000
Training Epoch: 7 [4864/46250]	Loss: 0.0715	LR: 0.020000
Training Epoch: 7 [5120/46250]	Loss: 0.0571	LR: 0.020000
Training Epoch: 7 [5376/46250]	Loss: 0.1098	LR: 0.020000
Training Epoch: 7 [5632/46250]	Loss: 0.0558	LR: 0.020000
Training Epoch: 7 [5888/46250]	Loss: 0.0808	LR: 0.020000
Training Epoch: 7 [6144/46250]	Loss: 0.1037	LR: 0.020000
Training Epoch: 7 [6400/46250]	Loss: 0.0838	LR: 0.020000
Training Epoch: 7 [6656/46250]	Loss: 0.0542	LR: 0.020000
Training Epoch: 7 [6912/46250]	Loss: 0.0513	LR: 0.020000
Training Epoch: 7 [7168/46250]	Loss: 0.0601	LR: 0.020000
Training Epoch: 7 [7424/46250]	Loss: 0.0505	LR: 0.020000
Training Epoch: 7 [7680/46250]	Loss: 0.0710	LR: 0.020000
Training Epoch: 7 [7936/46250]	Loss: 0.0593	LR: 0.020000
Training Epoch: 7 [8192/46250]	Loss: 0.0653	LR: 0.020000
Training Epoch: 7 [8448/46250]	Loss: 0.0806	LR: 0.020000
Training Epoch: 7 [8704/46250]	Loss: 0.0416	LR: 0.020000
Training Epoch: 7 [8960/46250]	Loss: 0.0531	LR: 0.020000
Training Epoch: 7 [9216/46250]	Loss: 0.0903	LR: 0.020000
Training Epoch: 7 [9472/46250]	Loss: 0.0811	LR: 0.020000
Training Epoch: 7 [9728/46250]	Loss: 0.0618	LR: 0.020000
Training Epoch: 7 [9984/46250]	Loss: 0.0604	LR: 0.020000
Training Epoch: 7 [10240/46250]	Loss: 0.1182	LR: 0.020000
Training Epoch: 7 [10496/46250]	Loss: 0.0496	LR: 0.020000
Training Epoch: 7 [10752/46250]	Loss: 0.0311	LR: 0.020000
Training Epoch: 7 [11008/46250]	Loss: 0.0724	LR: 0.020000
Training Epoch: 7 [11264/46250]	Loss: 0.0809	LR: 0.020000
Training Epoch: 7 [11520/46250]	Loss: 0.1138	LR: 0.020000
Training Epoch: 7 [11776/46250]	Loss: 0.0483	LR: 0.020000
Training Epoch: 7 [12032/46250]	Loss: 0.0743	LR: 0.020000
Training Epoch: 7 [12288/46250]	Loss: 0.0463	LR: 0.020000
Training Epoch: 7 [12544/46250]	Loss: 0.0878	LR: 0.020000
Training Epoch: 7 [12800/46250]	Loss: 0.0704	LR: 0.020000
Training Epoch: 7 [13056/46250]	Loss: 0.0922	LR: 0.020000
Training Epoch: 7 [13312/46250]	Loss: 0.0254	LR: 0.020000
Training Epoch: 7 [13568/46250]	Loss: 0.0900	LR: 0.020000
Training Epoch: 7 [13824/46250]	Loss: 0.0717	LR: 0.020000
Training Epoch: 7 [14080/46250]	Loss: 0.0439	LR: 0.020000
Training Epoch: 7 [14336/46250]	Loss: 0.0660	LR: 0.020000
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Training Epoch: 7 [15104/46250]	Loss: 0.0316	LR: 0.020000
Training Epoch: 7 [15360/46250]	Loss: 0.0720	LR: 0.020000
Training Epoch: 7 [15616/46250]	Loss: 0.1160	LR: 0.020000
Training Epoch: 7 [15872/46250]	Loss: 0.0424	LR: 0.020000
Training Epoch: 7 [16128/46250]	Loss: 0.0422	LR: 0.020000
Training Epoch: 7 [16384/46250]	Loss: 0.0515	LR: 0.020000
Training Epoch: 7 [16640/46250]	Loss: 0.0585	LR: 0.020000
Training Epoch: 7 [16896/46250]	Loss: 0.0332	LR: 0.020000
Training Epoch: 7 [17152/46250]	Loss: 0.0443	LR: 0.020000
Training Epoch: 7 [17408/46250]	Loss: 0.0453	LR: 0.020000
Training Epoch: 7 [17664/46250]	Loss: 0.0768	LR: 0.020000
Training Epoch: 7 [17920/46250]	Loss: 0.0841	LR: 0.020000
Training Epoch: 7 [18176/46250]	Loss: 0.0697	LR: 0.020000
Training Epoch: 7 [18432/46250]	Loss: 0.1143	LR: 0.020000
Training Epoch: 7 [18688/46250]	Loss: 0.0611	LR: 0.020000
Training Epoch: 7 [18944/46250]	Loss: 0.0465	LR: 0.020000
Training Epoch: 7 [19200/46250]	Loss: 0.1163	LR: 0.020000
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Training Epoch: 7 [43520/46250]	Loss: 0.0204	LR: 0.020000
Training Epoch: 7 [43776/46250]	Loss: 0.0441	LR: 0.020000
Training Epoch: 7 [44032/46250]	Loss: 0.0285	LR: 0.020000
Training Epoch: 7 [44288/46250]	Loss: 0.0224	LR: 0.020000
Training Epoch: 7 [44544/46250]	Loss: 0.0529	LR: 0.020000
Training Epoch: 7 [44800/46250]	Loss: 0.0647	LR: 0.020000
Training Epoch: 7 [45056/46250]	Loss: 0.0244	LR: 0.020000
Training Epoch: 7 [45312/46250]	Loss: 0.0165	LR: 0.020000
Training Epoch: 7 [45568/46250]	Loss: 0.0571	LR: 0.020000
Training Epoch: 7 [45824/46250]	Loss: 0.0634	LR: 0.020000
Training Epoch: 7 [46080/46250]	Loss: 0.0262	LR: 0.020000
Training Epoch: 7 [46250/46250]	Loss: 0.0238	LR: 0.020000
Epoch 7 - Average Train Loss: 0.0630, Train Accuracy: 0.9787
Epoch 7 training time consumed: 335.21s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0003, Accuracy: 0.9722, Time consumed:23.63s
Saving weights file to checkpoint/retrain/ViT/Friday_18_July_2025_03h_06m_42s/ViT-Cifar10-seed7-ret25-7-best.pth
Training Epoch: 8 [256/46250]	Loss: 0.0427	LR: 0.020000
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Training Epoch: 8 [28416/46250]	Loss: 0.0595	LR: 0.020000
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Training Epoch: 8 [36352/46250]	Loss: 0.0305	LR: 0.020000
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Training Epoch: 8 [45824/46250]	Loss: 0.0373	LR: 0.020000
Training Epoch: 8 [46080/46250]	Loss: 0.0302	LR: 0.020000
Training Epoch: 8 [46250/46250]	Loss: 0.0170	LR: 0.020000
Epoch 8 - Average Train Loss: 0.0378, Train Accuracy: 0.9869
Epoch 8 training time consumed: 335.28s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0004, Accuracy: 0.9719, Time consumed:23.66s
Valid (Test) Dl:  10000
Train Dl:  50000
Retain Train Dl:  46250
Forget Train Dl:  3750
Retain Valid Dl:  46250
Forget Valid Dl:  3750
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 3750 samples
Set1 Distribution: 3750 samples
Set2 Distribution: 3750 samples
Set1 Distribution: 3750 samples
Set2 Distribution: 3750 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Test Accuracy: 97.109375
Retain Accuracy: 98.9068832397461
Zero-Retain Forget (ZRF): 0.767432451248169
Membership Inference Attack (MIA): 0.8261333333333334
Forget vs Retain Membership Inference Attack (MIA): 0.5293333333333333
Forget vs Test Membership Inference Attack (MIA): 0.5346666666666666
Test vs Retain Membership Inference Attack (MIA): 0.51675
Train vs Test Membership Inference Attack (MIA): 0.514
Forget Set Accuracy (Df): 96.57003784179688
Method Execution Time: 5276.83 seconds
