hello
hello

📌S Retain class distribution for seed 8:
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 8:
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: 2.4920	LR: 0.000000
Training Epoch: 1 [512/46250]	Loss: 2.4262	LR: 0.000552
Training Epoch: 1 [768/46250]	Loss: 2.4031	LR: 0.001105
Training Epoch: 1 [1024/46250]	Loss: 2.3824	LR: 0.001657
Training Epoch: 1 [1280/46250]	Loss: 2.3374	LR: 0.002210
Training Epoch: 1 [1536/46250]	Loss: 2.1980	LR: 0.002762
Training Epoch: 1 [1792/46250]	Loss: 2.0936	LR: 0.003315
Training Epoch: 1 [2048/46250]	Loss: 1.8743	LR: 0.003867
Training Epoch: 1 [2304/46250]	Loss: 1.6809	LR: 0.004420
Training Epoch: 1 [2560/46250]	Loss: 1.4332	LR: 0.004972
Training Epoch: 1 [2816/46250]	Loss: 1.2777	LR: 0.005525
Training Epoch: 1 [3072/46250]	Loss: 1.0180	LR: 0.006077
Training Epoch: 1 [3328/46250]	Loss: 0.8383	LR: 0.006630
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Training Epoch: 1 [5888/46250]	Loss: 0.1967	LR: 0.012155
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Training Epoch: 1 [8448/46250]	Loss: 0.2003	LR: 0.017680
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Training Epoch: 1 [8960/46250]	Loss: 0.2143	LR: 0.018785
Training Epoch: 1 [9216/46250]	Loss: 0.1054	LR: 0.019337
Training Epoch: 1 [9472/46250]	Loss: 0.1651	LR: 0.019890
Training Epoch: 1 [9728/46250]	Loss: 0.0967	LR: 0.020442
Training Epoch: 1 [9984/46250]	Loss: 0.1911	LR: 0.020994
Training Epoch: 1 [10240/46250]	Loss: 0.1906	LR: 0.021547
Training Epoch: 1 [10496/46250]	Loss: 0.2253	LR: 0.022099
Training Epoch: 1 [10752/46250]	Loss: 0.3257	LR: 0.022652
Training Epoch: 1 [11008/46250]	Loss: 0.1331	LR: 0.023204
Training Epoch: 1 [11264/46250]	Loss: 0.2407	LR: 0.023757
Training Epoch: 1 [11520/46250]	Loss: 0.3111	LR: 0.024309
Training Epoch: 1 [11776/46250]	Loss: 0.3921	LR: 0.024862
Training Epoch: 1 [12032/46250]	Loss: 0.2017	LR: 0.025414
Training Epoch: 1 [12288/46250]	Loss: 0.1572	LR: 0.025967
Training Epoch: 1 [12544/46250]	Loss: 0.1175	LR: 0.026519
Training Epoch: 1 [12800/46250]	Loss: 0.2775	LR: 0.027072
Training Epoch: 1 [13056/46250]	Loss: 0.2188	LR: 0.027624
Training Epoch: 1 [13312/46250]	Loss: 0.3045	LR: 0.028177
Training Epoch: 1 [13568/46250]	Loss: 0.2419	LR: 0.028729
Training Epoch: 1 [13824/46250]	Loss: 0.2617	LR: 0.029282
Training Epoch: 1 [14080/46250]	Loss: 0.1240	LR: 0.029834
Training Epoch: 1 [14336/46250]	Loss: 0.2638	LR: 0.030387
Training Epoch: 1 [14592/46250]	Loss: 0.1783	LR: 0.030939
Training Epoch: 1 [14848/46250]	Loss: 0.2090	LR: 0.031492
Training Epoch: 1 [15104/46250]	Loss: 0.2194	LR: 0.032044
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Training Epoch: 1 [15616/46250]	Loss: 0.2778	LR: 0.033149
Training Epoch: 1 [15872/46250]	Loss: 0.1991	LR: 0.033702
Training Epoch: 1 [16128/46250]	Loss: 0.3102	LR: 0.034254
Training Epoch: 1 [16384/46250]	Loss: 0.2303	LR: 0.034807
Training Epoch: 1 [16640/46250]	Loss: 0.2011	LR: 0.035359
Training Epoch: 1 [16896/46250]	Loss: 0.2494	LR: 0.035912
Training Epoch: 1 [17152/46250]	Loss: 0.2623	LR: 0.036464
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Training Epoch: 1 [19456/46250]	Loss: 0.3261	LR: 0.041436
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Training Epoch: 1 [19968/46250]	Loss: 0.4300	LR: 0.042541
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Training Epoch: 1 [20480/46250]	Loss: 0.2820	LR: 0.043646
Training Epoch: 1 [20736/46250]	Loss: 0.3637	LR: 0.044199
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Training Epoch: 1 [22016/46250]	Loss: 0.3497	LR: 0.046961
Training Epoch: 1 [22272/46250]	Loss: 0.2582	LR: 0.047514
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Training Epoch: 1 [22784/46250]	Loss: 0.2350	LR: 0.048619
Training Epoch: 1 [23040/46250]	Loss: 0.2623	LR: 0.049171
Training Epoch: 1 [23296/46250]	Loss: 0.3461	LR: 0.049724
Training Epoch: 1 [23552/46250]	Loss: 0.2964	LR: 0.050276
Training Epoch: 1 [23808/46250]	Loss: 0.2980	LR: 0.050829
Training Epoch: 1 [24064/46250]	Loss: 0.3415	LR: 0.051381
Training Epoch: 1 [24320/46250]	Loss: 0.3812	LR: 0.051934
Training Epoch: 1 [24576/46250]	Loss: 0.2196	LR: 0.052486
Training Epoch: 1 [24832/46250]	Loss: 0.2258	LR: 0.053039
Training Epoch: 1 [25088/46250]	Loss: 0.3456	LR: 0.053591
Training Epoch: 1 [25344/46250]	Loss: 0.3627	LR: 0.054144
Training Epoch: 1 [25600/46250]	Loss: 0.3169	LR: 0.054696
Training Epoch: 1 [25856/46250]	Loss: 0.2742	LR: 0.055249
Training Epoch: 1 [26112/46250]	Loss: 0.2710	LR: 0.055801
Training Epoch: 1 [26368/46250]	Loss: 0.2504	LR: 0.056354
Training Epoch: 1 [26624/46250]	Loss: 0.4809	LR: 0.056906
Training Epoch: 1 [26880/46250]	Loss: 0.2740	LR: 0.057459
Training Epoch: 1 [27136/46250]	Loss: 0.4490	LR: 0.058011
Training Epoch: 1 [27392/46250]	Loss: 0.3739	LR: 0.058564
Training Epoch: 1 [27648/46250]	Loss: 0.3681	LR: 0.059116
Training Epoch: 1 [27904/46250]	Loss: 0.3374	LR: 0.059669
Training Epoch: 1 [28160/46250]	Loss: 0.3950	LR: 0.060221
Training Epoch: 1 [28416/46250]	Loss: 0.3830	LR: 0.060773
Training Epoch: 1 [28672/46250]	Loss: 0.4615	LR: 0.061326
Training Epoch: 1 [28928/46250]	Loss: 0.3742	LR: 0.061878
Training Epoch: 1 [29184/46250]	Loss: 0.2238	LR: 0.062431
Training Epoch: 1 [29440/46250]	Loss: 0.5474	LR: 0.062983
Training Epoch: 1 [29696/46250]	Loss: 0.2824	LR: 0.063536
Training Epoch: 1 [29952/46250]	Loss: 0.4013	LR: 0.064088
Training Epoch: 1 [30208/46250]	Loss: 0.3777	LR: 0.064641
Training Epoch: 1 [30464/46250]	Loss: 0.3483	LR: 0.065193
Training Epoch: 1 [30720/46250]	Loss: 0.3633	LR: 0.065746
Training Epoch: 1 [30976/46250]	Loss: 0.3758	LR: 0.066298
Training Epoch: 1 [31232/46250]	Loss: 0.3917	LR: 0.066851
Training Epoch: 1 [31488/46250]	Loss: 0.2781	LR: 0.067403
Training Epoch: 1 [31744/46250]	Loss: 0.4863	LR: 0.067956
Training Epoch: 1 [32000/46250]	Loss: 0.4221	LR: 0.068508
Training Epoch: 1 [32256/46250]	Loss: 0.4831	LR: 0.069061
Training Epoch: 1 [32512/46250]	Loss: 0.3270	LR: 0.069613
Training Epoch: 1 [32768/46250]	Loss: 0.4312	LR: 0.070166
Training Epoch: 1 [33024/46250]	Loss: 0.4224	LR: 0.070718
Training Epoch: 1 [33280/46250]	Loss: 0.4342	LR: 0.071271
Training Epoch: 1 [33536/46250]	Loss: 0.3829	LR: 0.071823
Training Epoch: 1 [33792/46250]	Loss: 0.3669	LR: 0.072376
Training Epoch: 1 [34048/46250]	Loss: 0.4579	LR: 0.072928
Training Epoch: 1 [34304/46250]	Loss: 0.5895	LR: 0.073481
Training Epoch: 1 [34560/46250]	Loss: 0.3111	LR: 0.074033
Training Epoch: 1 [34816/46250]	Loss: 0.6403	LR: 0.074586
Training Epoch: 1 [35072/46250]	Loss: 0.4035	LR: 0.075138
Training Epoch: 1 [35328/46250]	Loss: 0.3945	LR: 0.075691
Training Epoch: 1 [35584/46250]	Loss: 0.4172	LR: 0.076243
Training Epoch: 1 [35840/46250]	Loss: 0.4643	LR: 0.076796
Training Epoch: 1 [36096/46250]	Loss: 0.3633	LR: 0.077348
Training Epoch: 1 [36352/46250]	Loss: 0.3793	LR: 0.077901
Training Epoch: 1 [36608/46250]	Loss: 0.4182	LR: 0.078453
Training Epoch: 1 [36864/46250]	Loss: 0.3925	LR: 0.079006
Training Epoch: 1 [37120/46250]	Loss: 0.3254	LR: 0.079558
Training Epoch: 1 [37376/46250]	Loss: 0.3645	LR: 0.080110
Training Epoch: 1 [37632/46250]	Loss: 0.4145	LR: 0.080663
Training Epoch: 1 [37888/46250]	Loss: 0.4202	LR: 0.081215
Training Epoch: 1 [38144/46250]	Loss: 0.3790	LR: 0.081768
Training Epoch: 1 [38400/46250]	Loss: 0.3285	LR: 0.082320
Training Epoch: 1 [38656/46250]	Loss: 0.3054	LR: 0.082873
Training Epoch: 1 [38912/46250]	Loss: 0.3612	LR: 0.083425
Training Epoch: 1 [39168/46250]	Loss: 0.3410	LR: 0.083978
Training Epoch: 1 [39424/46250]	Loss: 0.3261	LR: 0.084530
Training Epoch: 1 [39680/46250]	Loss: 0.2125	LR: 0.085083
Training Epoch: 1 [39936/46250]	Loss: 0.3405	LR: 0.085635
Training Epoch: 1 [40192/46250]	Loss: 0.3667	LR: 0.086188
Training Epoch: 1 [40448/46250]	Loss: 0.3748	LR: 0.086740
Training Epoch: 1 [40704/46250]	Loss: 0.2898	LR: 0.087293
Training Epoch: 1 [40960/46250]	Loss: 0.5082	LR: 0.087845
Training Epoch: 1 [41216/46250]	Loss: 0.3599	LR: 0.088398
Training Epoch: 1 [41472/46250]	Loss: 0.5389	LR: 0.088950
Training Epoch: 1 [41728/46250]	Loss: 0.2708	LR: 0.089503
Training Epoch: 1 [41984/46250]	Loss: 0.6283	LR: 0.090055
Training Epoch: 1 [42240/46250]	Loss: 0.6439	LR: 0.090608
Training Epoch: 1 [42496/46250]	Loss: 0.4805	LR: 0.091160
Training Epoch: 1 [42752/46250]	Loss: 0.4242	LR: 0.091713
Training Epoch: 1 [43008/46250]	Loss: 0.5184	LR: 0.092265
Training Epoch: 1 [43264/46250]	Loss: 0.5008	LR: 0.092818
Training Epoch: 1 [43520/46250]	Loss: 0.4614	LR: 0.093370
Training Epoch: 1 [43776/46250]	Loss: 0.5502	LR: 0.093923
Training Epoch: 1 [44032/46250]	Loss: 0.4274	LR: 0.094475
Training Epoch: 1 [44288/46250]	Loss: 0.4702	LR: 0.095028
Training Epoch: 1 [44544/46250]	Loss: 0.4364	LR: 0.095580
Training Epoch: 1 [44800/46250]	Loss: 0.3088	LR: 0.096133
Training Epoch: 1 [45056/46250]	Loss: 0.3815	LR: 0.096685
Training Epoch: 1 [45312/46250]	Loss: 0.3693	LR: 0.097238
Training Epoch: 1 [45568/46250]	Loss: 0.4030	LR: 0.097790
Training Epoch: 1 [45824/46250]	Loss: 0.5310	LR: 0.098343
Training Epoch: 1 [46080/46250]	Loss: 0.5651	LR: 0.098895
Training Epoch: 1 [46250/46250]	Loss: 0.5609	LR: 0.099448
Epoch 1 - Average Train Loss: 0.4405, Train Accuracy: 0.8579
Epoch 1 training time consumed: 335.92s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0013, Accuracy: 0.8930, Time consumed:23.66s
Saving weights file to checkpoint/retrain/ViT/Friday_18_July_2025_04h_34m_59s/ViT-Cifar10-seed8-ret25-1-best.pth
Training Epoch: 2 [256/46250]	Loss: 0.5156	LR: 0.100000
Training Epoch: 2 [512/46250]	Loss: 0.5361	LR: 0.100000
Training Epoch: 2 [768/46250]	Loss: 0.4464	LR: 0.100000
Training Epoch: 2 [1024/46250]	Loss: 0.3873	LR: 0.100000
Training Epoch: 2 [1280/46250]	Loss: 0.3970	LR: 0.100000
Training Epoch: 2 [1536/46250]	Loss: 0.3656	LR: 0.100000
Training Epoch: 2 [1792/46250]	Loss: 0.2564	LR: 0.100000
Training Epoch: 2 [2048/46250]	Loss: 0.4175	LR: 0.100000
Training Epoch: 2 [2304/46250]	Loss: 0.3893	LR: 0.100000
Training Epoch: 2 [2560/46250]	Loss: 0.2646	LR: 0.100000
Training Epoch: 2 [2816/46250]	Loss: 0.3029	LR: 0.100000
Training Epoch: 2 [3072/46250]	Loss: 0.3642	LR: 0.100000
Training Epoch: 2 [3328/46250]	Loss: 0.2938	LR: 0.100000
Training Epoch: 2 [3584/46250]	Loss: 0.4204	LR: 0.100000
Training Epoch: 2 [3840/46250]	Loss: 0.3602	LR: 0.100000
Training Epoch: 2 [4096/46250]	Loss: 0.2031	LR: 0.100000
Training Epoch: 2 [4352/46250]	Loss: 0.3062	LR: 0.100000
Training Epoch: 2 [4608/46250]	Loss: 0.3422	LR: 0.100000
Training Epoch: 2 [4864/46250]	Loss: 0.2931	LR: 0.100000
Training Epoch: 2 [5120/46250]	Loss: 0.2840	LR: 0.100000
Training Epoch: 2 [5376/46250]	Loss: 0.3258	LR: 0.100000
Training Epoch: 2 [5632/46250]	Loss: 0.3311	LR: 0.100000
Training Epoch: 2 [5888/46250]	Loss: 0.3218	LR: 0.100000
Training Epoch: 2 [6144/46250]	Loss: 0.2463	LR: 0.100000
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Training Epoch: 2 [6656/46250]	Loss: 0.2206	LR: 0.100000
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Training Epoch: 2 [7168/46250]	Loss: 0.1894	LR: 0.100000
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Training Epoch: 2 [13056/46250]	Loss: 0.3609	LR: 0.100000
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Training Epoch: 2 [46250/46250]	Loss: 0.0886	LR: 0.100000
Epoch 2 - Average Train Loss: 0.2107, Train Accuracy: 0.9309
Epoch 2 training time consumed: 335.26s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0005, Accuracy: 0.9618, Time consumed:23.68s
Saving weights file to checkpoint/retrain/ViT/Friday_18_July_2025_04h_34m_59s/ViT-Cifar10-seed8-ret25-2-best.pth
Training Epoch: 3 [256/46250]	Loss: 0.1712	LR: 0.100000
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Training Epoch: 3 [46250/46250]	Loss: 0.1728	LR: 0.100000
Epoch 3 - Average Train Loss: 0.1566, Train Accuracy: 0.9463
Epoch 3 training time consumed: 335.18s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0005, Accuracy: 0.9546, Time consumed:23.65s
Training Epoch: 4 [256/46250]	Loss: 0.1363	LR: 0.100000
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Training Epoch: 4 [6656/46250]	Loss: 0.1402	LR: 0.100000
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Training Epoch: 4 [8448/46250]	Loss: 0.1108	LR: 0.100000
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Training Epoch: 4 [9728/46250]	Loss: 0.0841	LR: 0.100000
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Training Epoch: 4 [10496/46250]	Loss: 0.0997	LR: 0.100000
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Training Epoch: 4 [11008/46250]	Loss: 0.2334	LR: 0.100000
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Training Epoch: 4 [11520/46250]	Loss: 0.1339	LR: 0.100000
Training Epoch: 4 [11776/46250]	Loss: 0.1656	LR: 0.100000
Training Epoch: 4 [12032/46250]	Loss: 0.2565	LR: 0.100000
Training Epoch: 4 [12288/46250]	Loss: 0.1738	LR: 0.100000
Training Epoch: 4 [12544/46250]	Loss: 0.1787	LR: 0.100000
Training Epoch: 4 [12800/46250]	Loss: 0.2240	LR: 0.100000
Training Epoch: 4 [13056/46250]	Loss: 0.1965	LR: 0.100000
Training Epoch: 4 [13312/46250]	Loss: 0.3218	LR: 0.100000
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Training Epoch: 4 [16896/46250]	Loss: 0.0834	LR: 0.100000
Training Epoch: 4 [17152/46250]	Loss: 0.1471	LR: 0.100000
Training Epoch: 4 [17408/46250]	Loss: 0.0968	LR: 0.100000
Training Epoch: 4 [17664/46250]	Loss: 0.2298	LR: 0.100000
Training Epoch: 4 [17920/46250]	Loss: 0.2117	LR: 0.100000
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Training Epoch: 4 [18432/46250]	Loss: 0.1412	LR: 0.100000
Training Epoch: 4 [18688/46250]	Loss: 0.1297	LR: 0.100000
Training Epoch: 4 [18944/46250]	Loss: 0.1387	LR: 0.100000
Training Epoch: 4 [19200/46250]	Loss: 0.1669	LR: 0.100000
Training Epoch: 4 [19456/46250]	Loss: 0.2034	LR: 0.100000
Training Epoch: 4 [19712/46250]	Loss: 0.1947	LR: 0.100000
Training Epoch: 4 [19968/46250]	Loss: 0.2089	LR: 0.100000
Training Epoch: 4 [20224/46250]	Loss: 0.1365	LR: 0.100000
Training Epoch: 4 [20480/46250]	Loss: 0.1505	LR: 0.100000
Training Epoch: 4 [20736/46250]	Loss: 0.1612	LR: 0.100000
Training Epoch: 4 [20992/46250]	Loss: 0.2709	LR: 0.100000
Training Epoch: 4 [21248/46250]	Loss: 0.1754	LR: 0.100000
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Training Epoch: 4 [21760/46250]	Loss: 0.1411	LR: 0.100000
Training Epoch: 4 [22016/46250]	Loss: 0.2152	LR: 0.100000
Training Epoch: 4 [22272/46250]	Loss: 0.1502	LR: 0.100000
Training Epoch: 4 [22528/46250]	Loss: 0.1086	LR: 0.100000
Training Epoch: 4 [22784/46250]	Loss: 0.1426	LR: 0.100000
Training Epoch: 4 [23040/46250]	Loss: 0.1112	LR: 0.100000
Training Epoch: 4 [23296/46250]	Loss: 0.1792	LR: 0.100000
Training Epoch: 4 [23552/46250]	Loss: 0.1664	LR: 0.100000
Training Epoch: 4 [23808/46250]	Loss: 0.1508	LR: 0.100000
Training Epoch: 4 [24064/46250]	Loss: 0.1789	LR: 0.100000
Training Epoch: 4 [24320/46250]	Loss: 0.2098	LR: 0.100000
Training Epoch: 4 [24576/46250]	Loss: 0.1569	LR: 0.100000
Training Epoch: 4 [24832/46250]	Loss: 0.1235	LR: 0.100000
Training Epoch: 4 [25088/46250]	Loss: 0.1768	LR: 0.100000
Training Epoch: 4 [25344/46250]	Loss: 0.1534	LR: 0.100000
Training Epoch: 4 [25600/46250]	Loss: 0.2293	LR: 0.100000
Training Epoch: 4 [25856/46250]	Loss: 0.1501	LR: 0.100000
Training Epoch: 4 [26112/46250]	Loss: 0.1122	LR: 0.100000
Training Epoch: 4 [26368/46250]	Loss: 0.2113	LR: 0.100000
Training Epoch: 4 [26624/46250]	Loss: 0.1673	LR: 0.100000
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Training Epoch: 4 [27136/46250]	Loss: 0.1397	LR: 0.100000
Training Epoch: 4 [27392/46250]	Loss: 0.1157	LR: 0.100000
Training Epoch: 4 [27648/46250]	Loss: 0.1276	LR: 0.100000
Training Epoch: 4 [27904/46250]	Loss: 0.1019	LR: 0.100000
Training Epoch: 4 [28160/46250]	Loss: 0.0831	LR: 0.100000
Training Epoch: 4 [28416/46250]	Loss: 0.1337	LR: 0.100000
Training Epoch: 4 [28672/46250]	Loss: 0.1129	LR: 0.100000
Training Epoch: 4 [28928/46250]	Loss: 0.2344	LR: 0.100000
Training Epoch: 4 [29184/46250]	Loss: 0.0833	LR: 0.100000
Training Epoch: 4 [29440/46250]	Loss: 0.1885	LR: 0.100000
Training Epoch: 4 [29696/46250]	Loss: 0.1270	LR: 0.100000
Training Epoch: 4 [29952/46250]	Loss: 0.1335	LR: 0.100000
Training Epoch: 4 [30208/46250]	Loss: 0.1162	LR: 0.100000
Training Epoch: 4 [30464/46250]	Loss: 0.1495	LR: 0.100000
Training Epoch: 4 [30720/46250]	Loss: 0.2310	LR: 0.100000
Training Epoch: 4 [30976/46250]	Loss: 0.1860	LR: 0.100000
Training Epoch: 4 [31232/46250]	Loss: 0.2310	LR: 0.100000
Training Epoch: 4 [31488/46250]	Loss: 0.2174	LR: 0.100000
Training Epoch: 4 [31744/46250]	Loss: 0.1621	LR: 0.100000
Training Epoch: 4 [32000/46250]	Loss: 0.1418	LR: 0.100000
Training Epoch: 4 [32256/46250]	Loss: 0.1967	LR: 0.100000
Training Epoch: 4 [32512/46250]	Loss: 0.1815	LR: 0.100000
Training Epoch: 4 [32768/46250]	Loss: 0.1790	LR: 0.100000
Training Epoch: 4 [33024/46250]	Loss: 0.1857	LR: 0.100000
Training Epoch: 4 [33280/46250]	Loss: 0.1986	LR: 0.100000
Training Epoch: 4 [33536/46250]	Loss: 0.1922	LR: 0.100000
Training Epoch: 4 [33792/46250]	Loss: 0.2754	LR: 0.100000
Training Epoch: 4 [34048/46250]	Loss: 0.1359	LR: 0.100000
Training Epoch: 4 [34304/46250]	Loss: 0.1713	LR: 0.100000
Training Epoch: 4 [34560/46250]	Loss: 0.1342	LR: 0.100000
Training Epoch: 4 [34816/46250]	Loss: 0.1526	LR: 0.100000
Training Epoch: 4 [35072/46250]	Loss: 0.1627	LR: 0.100000
Training Epoch: 4 [35328/46250]	Loss: 0.2006	LR: 0.100000
Training Epoch: 4 [35584/46250]	Loss: 0.1456	LR: 0.100000
Training Epoch: 4 [35840/46250]	Loss: 0.1225	LR: 0.100000
Training Epoch: 4 [36096/46250]	Loss: 0.1277	LR: 0.100000
Training Epoch: 4 [36352/46250]	Loss: 0.1668	LR: 0.100000
Training Epoch: 4 [36608/46250]	Loss: 0.1599	LR: 0.100000
Training Epoch: 4 [36864/46250]	Loss: 0.1015	LR: 0.100000
Training Epoch: 4 [37120/46250]	Loss: 0.1163	LR: 0.100000
Training Epoch: 4 [37376/46250]	Loss: 0.0858	LR: 0.100000
Training Epoch: 4 [37632/46250]	Loss: 0.2275	LR: 0.100000
Training Epoch: 4 [37888/46250]	Loss: 0.2251	LR: 0.100000
Training Epoch: 4 [38144/46250]	Loss: 0.0842	LR: 0.100000
Training Epoch: 4 [38400/46250]	Loss: 0.1589	LR: 0.100000
Training Epoch: 4 [38656/46250]	Loss: 0.1390	LR: 0.100000
Training Epoch: 4 [38912/46250]	Loss: 0.1266	LR: 0.100000
Training Epoch: 4 [39168/46250]	Loss: 0.1579	LR: 0.100000
Training Epoch: 4 [39424/46250]	Loss: 0.1992	LR: 0.100000
Training Epoch: 4 [39680/46250]	Loss: 0.1519	LR: 0.100000
Training Epoch: 4 [39936/46250]	Loss: 0.1565	LR: 0.100000
Training Epoch: 4 [40192/46250]	Loss: 0.1224	LR: 0.100000
Training Epoch: 4 [40448/46250]	Loss: 0.1278	LR: 0.100000
Training Epoch: 4 [40704/46250]	Loss: 0.0916	LR: 0.100000
Training Epoch: 4 [40960/46250]	Loss: 0.1895	LR: 0.100000
Training Epoch: 4 [41216/46250]	Loss: 0.1497	LR: 0.100000
Training Epoch: 4 [41472/46250]	Loss: 0.1447	LR: 0.100000
Training Epoch: 4 [41728/46250]	Loss: 0.1792	LR: 0.100000
Training Epoch: 4 [41984/46250]	Loss: 0.2273	LR: 0.100000
Training Epoch: 4 [42240/46250]	Loss: 0.2442	LR: 0.100000
Training Epoch: 4 [42496/46250]	Loss: 0.1701	LR: 0.100000
Training Epoch: 4 [42752/46250]	Loss: 0.1642	LR: 0.100000
Training Epoch: 4 [43008/46250]	Loss: 0.1427	LR: 0.100000
Training Epoch: 4 [43264/46250]	Loss: 0.1397	LR: 0.100000
Training Epoch: 4 [43520/46250]	Loss: 0.1634	LR: 0.100000
Training Epoch: 4 [43776/46250]	Loss: 0.2107	LR: 0.100000
Training Epoch: 4 [44032/46250]	Loss: 0.0731	LR: 0.100000
Training Epoch: 4 [44288/46250]	Loss: 0.2045	LR: 0.100000
Training Epoch: 4 [44544/46250]	Loss: 0.1687	LR: 0.100000
Training Epoch: 4 [44800/46250]	Loss: 0.1202	LR: 0.100000
Training Epoch: 4 [45056/46250]	Loss: 0.1265	LR: 0.100000
Training Epoch: 4 [45312/46250]	Loss: 0.1519	LR: 0.100000
Training Epoch: 4 [45568/46250]	Loss: 0.1777	LR: 0.100000
Training Epoch: 4 [45824/46250]	Loss: 0.1560	LR: 0.100000
Training Epoch: 4 [46080/46250]	Loss: 0.1714	LR: 0.100000
Training Epoch: 4 [46250/46250]	Loss: 0.1925	LR: 0.100000
Epoch 4 - Average Train Loss: 0.1622, Train Accuracy: 0.9449
Epoch 4 training time consumed: 335.18s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0007, Accuracy: 0.9457, Time consumed:23.66s
Training Epoch: 5 [256/46250]	Loss: 0.1636	LR: 0.100000
Training Epoch: 5 [512/46250]	Loss: 0.1284	LR: 0.100000
Training Epoch: 5 [768/46250]	Loss: 0.0896	LR: 0.100000
Training Epoch: 5 [1024/46250]	Loss: 0.0998	LR: 0.100000
Training Epoch: 5 [1280/46250]	Loss: 0.1202	LR: 0.100000
Training Epoch: 5 [1536/46250]	Loss: 0.1175	LR: 0.100000
Training Epoch: 5 [1792/46250]	Loss: 0.1101	LR: 0.100000
Training Epoch: 5 [2048/46250]	Loss: 0.1078	LR: 0.100000
Training Epoch: 5 [2304/46250]	Loss: 0.0971	LR: 0.100000
Training Epoch: 5 [2560/46250]	Loss: 0.1403	LR: 0.100000
Training Epoch: 5 [2816/46250]	Loss: 0.1842	LR: 0.100000
Training Epoch: 5 [3072/46250]	Loss: 0.1408	LR: 0.100000
Training Epoch: 5 [3328/46250]	Loss: 0.1820	LR: 0.100000
Training Epoch: 5 [3584/46250]	Loss: 0.1432	LR: 0.100000
Training Epoch: 5 [3840/46250]	Loss: 0.1557	LR: 0.100000
Training Epoch: 5 [4096/46250]	Loss: 0.1186	LR: 0.100000
Training Epoch: 5 [4352/46250]	Loss: 0.1881	LR: 0.100000
Training Epoch: 5 [4608/46250]	Loss: 0.1608	LR: 0.100000
Training Epoch: 5 [4864/46250]	Loss: 0.1118	LR: 0.100000
Training Epoch: 5 [5120/46250]	Loss: 0.1498	LR: 0.100000
Training Epoch: 5 [5376/46250]	Loss: 0.1332	LR: 0.100000
Training Epoch: 5 [5632/46250]	Loss: 0.1390	LR: 0.100000
Training Epoch: 5 [5888/46250]	Loss: 0.2522	LR: 0.100000
Training Epoch: 5 [6144/46250]	Loss: 0.2451	LR: 0.100000
Training Epoch: 5 [6400/46250]	Loss: 0.1458	LR: 0.100000
Training Epoch: 5 [6656/46250]	Loss: 0.1412	LR: 0.100000
Training Epoch: 5 [6912/46250]	Loss: 0.1365	LR: 0.100000
Training Epoch: 5 [7168/46250]	Loss: 0.1705	LR: 0.100000
Training Epoch: 5 [7424/46250]	Loss: 0.1652	LR: 0.100000
Training Epoch: 5 [7680/46250]	Loss: 0.1047	LR: 0.100000
Training Epoch: 5 [7936/46250]	Loss: 0.1374	LR: 0.100000
Training Epoch: 5 [8192/46250]	Loss: 0.1164	LR: 0.100000
Training Epoch: 5 [8448/46250]	Loss: 0.1776	LR: 0.100000
Training Epoch: 5 [8704/46250]	Loss: 0.0728	LR: 0.100000
Training Epoch: 5 [8960/46250]	Loss: 0.1703	LR: 0.100000
Training Epoch: 5 [9216/46250]	Loss: 0.1515	LR: 0.100000
Training Epoch: 5 [9472/46250]	Loss: 0.1178	LR: 0.100000
Training Epoch: 5 [9728/46250]	Loss: 0.1165	LR: 0.100000
Training Epoch: 5 [9984/46250]	Loss: 0.2616	LR: 0.100000
Training Epoch: 5 [10240/46250]	Loss: 0.1501	LR: 0.100000
Training Epoch: 5 [10496/46250]	Loss: 0.1585	LR: 0.100000
Training Epoch: 5 [10752/46250]	Loss: 0.2396	LR: 0.100000
Training Epoch: 5 [11008/46250]	Loss: 0.1057	LR: 0.100000
Training Epoch: 5 [11264/46250]	Loss: 0.1088	LR: 0.100000
Training Epoch: 5 [11520/46250]	Loss: 0.1584	LR: 0.100000
Training Epoch: 5 [11776/46250]	Loss: 0.1613	LR: 0.100000
Training Epoch: 5 [12032/46250]	Loss: 0.2009	LR: 0.100000
Training Epoch: 5 [12288/46250]	Loss: 0.2045	LR: 0.100000
Training Epoch: 5 [12544/46250]	Loss: 0.0653	LR: 0.100000
Training Epoch: 5 [12800/46250]	Loss: 0.1045	LR: 0.100000
Training Epoch: 5 [13056/46250]	Loss: 0.1755	LR: 0.100000
Training Epoch: 5 [13312/46250]	Loss: 0.2243	LR: 0.100000
Training Epoch: 5 [13568/46250]	Loss: 0.1827	LR: 0.100000
Training Epoch: 5 [13824/46250]	Loss: 0.1527	LR: 0.100000
Training Epoch: 5 [14080/46250]	Loss: 0.1817	LR: 0.100000
Training Epoch: 5 [14336/46250]	Loss: 0.1150	LR: 0.100000
Training Epoch: 5 [14592/46250]	Loss: 0.1593	LR: 0.100000
Training Epoch: 5 [14848/46250]	Loss: 0.2068	LR: 0.100000
Training Epoch: 5 [15104/46250]	Loss: 0.2109	LR: 0.100000
Training Epoch: 5 [15360/46250]	Loss: 0.1492	LR: 0.100000
Training Epoch: 5 [15616/46250]	Loss: 0.1801	LR: 0.100000
Training Epoch: 5 [15872/46250]	Loss: 0.1255	LR: 0.100000
Training Epoch: 5 [16128/46250]	Loss: 0.1865	LR: 0.100000
Training Epoch: 5 [16384/46250]	Loss: 0.2520	LR: 0.100000
Training Epoch: 5 [16640/46250]	Loss: 0.1254	LR: 0.100000
Training Epoch: 5 [16896/46250]	Loss: 0.1297	LR: 0.100000
Training Epoch: 5 [17152/46250]	Loss: 0.2108	LR: 0.100000
Training Epoch: 5 [17408/46250]	Loss: 0.1260	LR: 0.100000
Training Epoch: 5 [17664/46250]	Loss: 0.1407	LR: 0.100000
Training Epoch: 5 [17920/46250]	Loss: 0.1871	LR: 0.100000
Training Epoch: 5 [18176/46250]	Loss: 0.1392	LR: 0.100000
Training Epoch: 5 [18432/46250]	Loss: 0.1792	LR: 0.100000
Training Epoch: 5 [18688/46250]	Loss: 0.1654	LR: 0.100000
Training Epoch: 5 [18944/46250]	Loss: 0.0866	LR: 0.100000
Training Epoch: 5 [19200/46250]	Loss: 0.1671	LR: 0.100000
Training Epoch: 5 [19456/46250]	Loss: 0.0941	LR: 0.100000
Training Epoch: 5 [19712/46250]	Loss: 0.1470	LR: 0.100000
Training Epoch: 5 [19968/46250]	Loss: 0.1466	LR: 0.100000
Training Epoch: 5 [20224/46250]	Loss: 0.1046	LR: 0.100000
Training Epoch: 5 [20480/46250]	Loss: 0.1613	LR: 0.100000
Training Epoch: 5 [20736/46250]	Loss: 0.1639	LR: 0.100000
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Training Epoch: 5 [21248/46250]	Loss: 0.1716	LR: 0.100000
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Training Epoch: 5 [22016/46250]	Loss: 0.1013	LR: 0.100000
Training Epoch: 5 [22272/46250]	Loss: 0.1455	LR: 0.100000
Training Epoch: 5 [22528/46250]	Loss: 0.1921	LR: 0.100000
Training Epoch: 5 [22784/46250]	Loss: 0.1590	LR: 0.100000
Training Epoch: 5 [23040/46250]	Loss: 0.1358	LR: 0.100000
Training Epoch: 5 [23296/46250]	Loss: 0.1166	LR: 0.100000
Training Epoch: 5 [23552/46250]	Loss: 0.2204	LR: 0.100000
Training Epoch: 5 [23808/46250]	Loss: 0.2715	LR: 0.100000
Training Epoch: 5 [24064/46250]	Loss: 0.1004	LR: 0.100000
Training Epoch: 5 [24320/46250]	Loss: 0.1654	LR: 0.100000
Training Epoch: 5 [24576/46250]	Loss: 0.1406	LR: 0.100000
Training Epoch: 5 [24832/46250]	Loss: 0.1138	LR: 0.100000
Training Epoch: 5 [25088/46250]	Loss: 0.1060	LR: 0.100000
Training Epoch: 5 [25344/46250]	Loss: 0.1059	LR: 0.100000
Training Epoch: 5 [25600/46250]	Loss: 0.1441	LR: 0.100000
Training Epoch: 5 [25856/46250]	Loss: 0.1869	LR: 0.100000
Training Epoch: 5 [26112/46250]	Loss: 0.1140	LR: 0.100000
Training Epoch: 5 [26368/46250]	Loss: 0.1149	LR: 0.100000
Training Epoch: 5 [26624/46250]	Loss: 0.1490	LR: 0.100000
Training Epoch: 5 [26880/46250]	Loss: 0.2407	LR: 0.100000
Training Epoch: 5 [27136/46250]	Loss: 0.1788	LR: 0.100000
Training Epoch: 5 [27392/46250]	Loss: 0.1520	LR: 0.100000
Training Epoch: 5 [27648/46250]	Loss: 0.2376	LR: 0.100000
Training Epoch: 5 [27904/46250]	Loss: 0.1570	LR: 0.100000
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Training Epoch: 5 [28416/46250]	Loss: 0.1425	LR: 0.100000
Training Epoch: 5 [28672/46250]	Loss: 0.1069	LR: 0.100000
Training Epoch: 5 [28928/46250]	Loss: 0.1830	LR: 0.100000
Training Epoch: 5 [29184/46250]	Loss: 0.1297	LR: 0.100000
Training Epoch: 5 [29440/46250]	Loss: 0.1614	LR: 0.100000
Training Epoch: 5 [29696/46250]	Loss: 0.1779	LR: 0.100000
Training Epoch: 5 [29952/46250]	Loss: 0.1665	LR: 0.100000
Training Epoch: 5 [30208/46250]	Loss: 0.2264	LR: 0.100000
Training Epoch: 5 [30464/46250]	Loss: 0.1902	LR: 0.100000
Training Epoch: 5 [30720/46250]	Loss: 0.1876	LR: 0.100000
Training Epoch: 5 [30976/46250]	Loss: 0.1638	LR: 0.100000
Training Epoch: 5 [31232/46250]	Loss: 0.1790	LR: 0.100000
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Training Epoch: 5 [32000/46250]	Loss: 0.1799	LR: 0.100000
Training Epoch: 5 [32256/46250]	Loss: 0.1715	LR: 0.100000
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Training Epoch: 5 [34048/46250]	Loss: 0.1590	LR: 0.100000
Training Epoch: 5 [34304/46250]	Loss: 0.1734	LR: 0.100000
Training Epoch: 5 [34560/46250]	Loss: 0.1814	LR: 0.100000
Training Epoch: 5 [34816/46250]	Loss: 0.2317	LR: 0.100000
Training Epoch: 5 [35072/46250]	Loss: 0.2034	LR: 0.100000
Training Epoch: 5 [35328/46250]	Loss: 0.1501	LR: 0.100000
Training Epoch: 5 [35584/46250]	Loss: 0.2038	LR: 0.100000
Training Epoch: 5 [35840/46250]	Loss: 0.1517	LR: 0.100000
Training Epoch: 5 [36096/46250]	Loss: 0.1846	LR: 0.100000
Training Epoch: 5 [36352/46250]	Loss: 0.1611	LR: 0.100000
Training Epoch: 5 [36608/46250]	Loss: 0.1518	LR: 0.100000
Training Epoch: 5 [36864/46250]	Loss: 0.2021	LR: 0.100000
Training Epoch: 5 [37120/46250]	Loss: 0.1307	LR: 0.100000
Training Epoch: 5 [37376/46250]	Loss: 0.1325	LR: 0.100000
Training Epoch: 5 [37632/46250]	Loss: 0.1377	LR: 0.100000
Training Epoch: 5 [37888/46250]	Loss: 0.1794	LR: 0.100000
Training Epoch: 5 [38144/46250]	Loss: 0.1168	LR: 0.100000
Training Epoch: 5 [38400/46250]	Loss: 0.1922	LR: 0.100000
Training Epoch: 5 [38656/46250]	Loss: 0.2066	LR: 0.100000
Training Epoch: 5 [38912/46250]	Loss: 0.1826	LR: 0.100000
Training Epoch: 5 [39168/46250]	Loss: 0.2001	LR: 0.100000
Training Epoch: 5 [39424/46250]	Loss: 0.1598	LR: 0.100000
Training Epoch: 5 [39680/46250]	Loss: 0.1543	LR: 0.100000
Training Epoch: 5 [39936/46250]	Loss: 0.1578	LR: 0.100000
Training Epoch: 5 [40192/46250]	Loss: 0.1636	LR: 0.100000
Training Epoch: 5 [40448/46250]	Loss: 0.1268	LR: 0.100000
Training Epoch: 5 [40704/46250]	Loss: 0.2128	LR: 0.100000
Training Epoch: 5 [40960/46250]	Loss: 0.1551	LR: 0.100000
Training Epoch: 5 [41216/46250]	Loss: 0.1916	LR: 0.100000
Training Epoch: 5 [41472/46250]	Loss: 0.1546	LR: 0.100000
Training Epoch: 5 [41728/46250]	Loss: 0.1550	LR: 0.100000
Training Epoch: 5 [41984/46250]	Loss: 0.1935	LR: 0.100000
Training Epoch: 5 [42240/46250]	Loss: 0.1801	LR: 0.100000
Training Epoch: 5 [42496/46250]	Loss: 0.2032	LR: 0.100000
Training Epoch: 5 [42752/46250]	Loss: 0.1320	LR: 0.100000
Training Epoch: 5 [43008/46250]	Loss: 0.3436	LR: 0.100000
Training Epoch: 5 [43264/46250]	Loss: 0.1538	LR: 0.100000
Training Epoch: 5 [43520/46250]	Loss: 0.1986	LR: 0.100000
Training Epoch: 5 [43776/46250]	Loss: 0.3173	LR: 0.100000
Training Epoch: 5 [44032/46250]	Loss: 0.1397	LR: 0.100000
Training Epoch: 5 [44288/46250]	Loss: 0.3002	LR: 0.100000
Training Epoch: 5 [44544/46250]	Loss: 0.3448	LR: 0.100000
Training Epoch: 5 [44800/46250]	Loss: 0.1983	LR: 0.100000
Training Epoch: 5 [45056/46250]	Loss: 0.1548	LR: 0.100000
Training Epoch: 5 [45312/46250]	Loss: 0.2211	LR: 0.100000
Training Epoch: 5 [45568/46250]	Loss: 0.2215	LR: 0.100000
Training Epoch: 5 [45824/46250]	Loss: 0.1508	LR: 0.100000
Training Epoch: 5 [46080/46250]	Loss: 0.1636	LR: 0.100000
Training Epoch: 5 [46250/46250]	Loss: 0.2365	LR: 0.100000
Epoch 5 - Average Train Loss: 0.1630, Train Accuracy: 0.9451
Epoch 5 training time consumed: 335.47s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0006, Accuracy: 0.9499, Time consumed:23.60s
Training Epoch: 6 [256/46250]	Loss: 0.1050	LR: 0.100000
Training Epoch: 6 [512/46250]	Loss: 0.2071	LR: 0.100000
Training Epoch: 6 [768/46250]	Loss: 0.1042	LR: 0.100000
Training Epoch: 6 [1024/46250]	Loss: 0.1551	LR: 0.100000
Training Epoch: 6 [1280/46250]	Loss: 0.1727	LR: 0.100000
Training Epoch: 6 [1536/46250]	Loss: 0.0963	LR: 0.100000
Training Epoch: 6 [1792/46250]	Loss: 0.1458	LR: 0.100000
Training Epoch: 6 [2048/46250]	Loss: 0.1127	LR: 0.100000
Training Epoch: 6 [2304/46250]	Loss: 0.0734	LR: 0.100000
Training Epoch: 6 [2560/46250]	Loss: 0.1548	LR: 0.100000
Training Epoch: 6 [2816/46250]	Loss: 0.0609	LR: 0.100000
Training Epoch: 6 [3072/46250]	Loss: 0.1758	LR: 0.100000
Training Epoch: 6 [3328/46250]	Loss: 0.2041	LR: 0.100000
Training Epoch: 6 [3584/46250]	Loss: 0.2852	LR: 0.100000
Training Epoch: 6 [3840/46250]	Loss: 0.3189	LR: 0.100000
Training Epoch: 6 [4096/46250]	Loss: 0.1755	LR: 0.100000
Training Epoch: 6 [4352/46250]	Loss: 0.2434	LR: 0.100000
Training Epoch: 6 [4608/46250]	Loss: 0.1089	LR: 0.100000
Training Epoch: 6 [4864/46250]	Loss: 0.2083	LR: 0.100000
Training Epoch: 6 [5120/46250]	Loss: 0.2737	LR: 0.100000
Training Epoch: 6 [5376/46250]	Loss: 0.2565	LR: 0.100000
Training Epoch: 6 [5632/46250]	Loss: 0.1550	LR: 0.100000
Training Epoch: 6 [5888/46250]	Loss: 0.0841	LR: 0.100000
Training Epoch: 6 [6144/46250]	Loss: 0.1842	LR: 0.100000
Training Epoch: 6 [6400/46250]	Loss: 0.1544	LR: 0.100000
Training Epoch: 6 [6656/46250]	Loss: 0.1168	LR: 0.100000
Training Epoch: 6 [6912/46250]	Loss: 0.1265	LR: 0.100000
Training Epoch: 6 [7168/46250]	Loss: 0.1391	LR: 0.100000
Training Epoch: 6 [7424/46250]	Loss: 0.0866	LR: 0.100000
Training Epoch: 6 [7680/46250]	Loss: 0.1754	LR: 0.100000
Training Epoch: 6 [7936/46250]	Loss: 0.1850	LR: 0.100000
Training Epoch: 6 [8192/46250]	Loss: 0.2236	LR: 0.100000
Training Epoch: 6 [8448/46250]	Loss: 0.1659	LR: 0.100000
Training Epoch: 6 [8704/46250]	Loss: 0.1418	LR: 0.100000
Training Epoch: 6 [8960/46250]	Loss: 0.1712	LR: 0.100000
Training Epoch: 6 [9216/46250]	Loss: 0.1489	LR: 0.100000
Training Epoch: 6 [9472/46250]	Loss: 0.1312	LR: 0.100000
Training Epoch: 6 [9728/46250]	Loss: 0.2333	LR: 0.100000
Training Epoch: 6 [9984/46250]	Loss: 0.1530	LR: 0.100000
Training Epoch: 6 [10240/46250]	Loss: 0.2015	LR: 0.100000
Training Epoch: 6 [10496/46250]	Loss: 0.2534	LR: 0.100000
Training Epoch: 6 [10752/46250]	Loss: 0.1837	LR: 0.100000
Training Epoch: 6 [11008/46250]	Loss: 0.0943	LR: 0.100000
Training Epoch: 6 [11264/46250]	Loss: 0.1327	LR: 0.100000
Training Epoch: 6 [11520/46250]	Loss: 0.1323	LR: 0.100000
Training Epoch: 6 [11776/46250]	Loss: 0.1837	LR: 0.100000
Training Epoch: 6 [12032/46250]	Loss: 0.1695	LR: 0.100000
Training Epoch: 6 [12288/46250]	Loss: 0.1669	LR: 0.100000
Training Epoch: 6 [12544/46250]	Loss: 0.1792	LR: 0.100000
Training Epoch: 6 [12800/46250]	Loss: 0.1469	LR: 0.100000
Training Epoch: 6 [13056/46250]	Loss: 0.1910	LR: 0.100000
Training Epoch: 6 [13312/46250]	Loss: 0.1480	LR: 0.100000
Training Epoch: 6 [13568/46250]	Loss: 0.1368	LR: 0.100000
Training Epoch: 6 [13824/46250]	Loss: 0.1438	LR: 0.100000
Training Epoch: 6 [14080/46250]	Loss: 0.1349	LR: 0.100000
Training Epoch: 6 [14336/46250]	Loss: 0.1534	LR: 0.100000
Training Epoch: 6 [14592/46250]	Loss: 0.1304	LR: 0.100000
Training Epoch: 6 [14848/46250]	Loss: 0.1452	LR: 0.100000
Training Epoch: 6 [15104/46250]	Loss: 0.1827	LR: 0.100000
Training Epoch: 6 [15360/46250]	Loss: 0.1727	LR: 0.100000
Training Epoch: 6 [15616/46250]	Loss: 0.1245	LR: 0.100000
Training Epoch: 6 [15872/46250]	Loss: 0.1666	LR: 0.100000
Training Epoch: 6 [16128/46250]	Loss: 0.2160	LR: 0.100000
Training Epoch: 6 [16384/46250]	Loss: 0.1601	LR: 0.100000
Training Epoch: 6 [16640/46250]	Loss: 0.1025	LR: 0.100000
Training Epoch: 6 [16896/46250]	Loss: 0.1418	LR: 0.100000
Training Epoch: 6 [17152/46250]	Loss: 0.1885	LR: 0.100000
Training Epoch: 6 [17408/46250]	Loss: 0.1428	LR: 0.100000
Training Epoch: 6 [17664/46250]	Loss: 0.1311	LR: 0.100000
Training Epoch: 6 [17920/46250]	Loss: 0.2101	LR: 0.100000
Training Epoch: 6 [18176/46250]	Loss: 0.1779	LR: 0.100000
Training Epoch: 6 [18432/46250]	Loss: 0.1333	LR: 0.100000
Training Epoch: 6 [18688/46250]	Loss: 0.1867	LR: 0.100000
Training Epoch: 6 [18944/46250]	Loss: 0.2067	LR: 0.100000
Training Epoch: 6 [19200/46250]	Loss: 0.2274	LR: 0.100000
Training Epoch: 6 [19456/46250]	Loss: 0.1501	LR: 0.100000
Training Epoch: 6 [19712/46250]	Loss: 0.1615	LR: 0.100000
Training Epoch: 6 [19968/46250]	Loss: 0.2992	LR: 0.100000
Training Epoch: 6 [20224/46250]	Loss: 0.1462	LR: 0.100000
Training Epoch: 6 [20480/46250]	Loss: 0.1817	LR: 0.100000
Training Epoch: 6 [20736/46250]	Loss: 0.2031	LR: 0.100000
Training Epoch: 6 [20992/46250]	Loss: 0.1934	LR: 0.100000
Training Epoch: 6 [21248/46250]	Loss: 0.1860	LR: 0.100000
Training Epoch: 6 [21504/46250]	Loss: 0.1065	LR: 0.100000
Training Epoch: 6 [21760/46250]	Loss: 0.1559	LR: 0.100000
Training Epoch: 6 [22016/46250]	Loss: 0.1734	LR: 0.100000
Training Epoch: 6 [22272/46250]	Loss: 0.1528	LR: 0.100000
Training Epoch: 6 [22528/46250]	Loss: 0.2095	LR: 0.100000
Training Epoch: 6 [22784/46250]	Loss: 0.1608	LR: 0.100000
Training Epoch: 6 [23040/46250]	Loss: 0.1631	LR: 0.100000
Training Epoch: 6 [23296/46250]	Loss: 0.1150	LR: 0.100000
Training Epoch: 6 [23552/46250]	Loss: 0.0984	LR: 0.100000
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Training Epoch: 6 [25600/46250]	Loss: 0.2365	LR: 0.100000
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Training Epoch: 6 [26368/46250]	Loss: 0.1546	LR: 0.100000
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Training Epoch: 6 [26880/46250]	Loss: 0.0869	LR: 0.100000
Training Epoch: 6 [27136/46250]	Loss: 0.1601	LR: 0.100000
Training Epoch: 6 [27392/46250]	Loss: 0.2011	LR: 0.100000
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Training Epoch: 6 [27904/46250]	Loss: 0.2178	LR: 0.100000
Training Epoch: 6 [28160/46250]	Loss: 0.1899	LR: 0.100000
Training Epoch: 6 [28416/46250]	Loss: 0.1949	LR: 0.100000
Training Epoch: 6 [28672/46250]	Loss: 0.1732	LR: 0.100000
Training Epoch: 6 [28928/46250]	Loss: 0.2206	LR: 0.100000
Training Epoch: 6 [29184/46250]	Loss: 0.1151	LR: 0.100000
Training Epoch: 6 [29440/46250]	Loss: 0.2527	LR: 0.100000
Training Epoch: 6 [29696/46250]	Loss: 0.2224	LR: 0.100000
Training Epoch: 6 [29952/46250]	Loss: 0.1572	LR: 0.100000
Training Epoch: 6 [30208/46250]	Loss: 0.1660	LR: 0.100000
Training Epoch: 6 [30464/46250]	Loss: 0.1812	LR: 0.100000
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Training Epoch: 6 [35328/46250]	Loss: 0.1784	LR: 0.100000
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Training Epoch: 6 [36608/46250]	Loss: 0.2157	LR: 0.100000
Training Epoch: 6 [36864/46250]	Loss: 0.1672	LR: 0.100000
Training Epoch: 6 [37120/46250]	Loss: 0.1949	LR: 0.100000
Training Epoch: 6 [37376/46250]	Loss: 0.1798	LR: 0.100000
Training Epoch: 6 [37632/46250]	Loss: 0.1105	LR: 0.100000
Training Epoch: 6 [37888/46250]	Loss: 0.3220	LR: 0.100000
Training Epoch: 6 [38144/46250]	Loss: 0.1471	LR: 0.100000
Training Epoch: 6 [38400/46250]	Loss: 0.2043	LR: 0.100000
Training Epoch: 6 [38656/46250]	Loss: 0.1634	LR: 0.100000
Training Epoch: 6 [38912/46250]	Loss: 0.1723	LR: 0.100000
Training Epoch: 6 [39168/46250]	Loss: 0.1047	LR: 0.100000
Training Epoch: 6 [39424/46250]	Loss: 0.1693	LR: 0.100000
Training Epoch: 6 [39680/46250]	Loss: 0.1948	LR: 0.100000
Training Epoch: 6 [39936/46250]	Loss: 0.2026	LR: 0.100000
Training Epoch: 6 [40192/46250]	Loss: 0.1580	LR: 0.100000
Training Epoch: 6 [40448/46250]	Loss: 0.2155	LR: 0.100000
Training Epoch: 6 [40704/46250]	Loss: 0.3282	LR: 0.100000
Training Epoch: 6 [40960/46250]	Loss: 0.1946	LR: 0.100000
Training Epoch: 6 [41216/46250]	Loss: 0.1755	LR: 0.100000
Training Epoch: 6 [41472/46250]	Loss: 0.1981	LR: 0.100000
Training Epoch: 6 [41728/46250]	Loss: 0.1306	LR: 0.100000
Training Epoch: 6 [41984/46250]	Loss: 0.2723	LR: 0.100000
Training Epoch: 6 [42240/46250]	Loss: 0.2393	LR: 0.100000
Training Epoch: 6 [42496/46250]	Loss: 0.1604	LR: 0.100000
Training Epoch: 6 [42752/46250]	Loss: 0.2138	LR: 0.100000
Training Epoch: 6 [43008/46250]	Loss: 0.1620	LR: 0.100000
Training Epoch: 6 [43264/46250]	Loss: 0.1497	LR: 0.100000
Training Epoch: 6 [43520/46250]	Loss: 0.2349	LR: 0.100000
Training Epoch: 6 [43776/46250]	Loss: 0.1429	LR: 0.100000
Training Epoch: 6 [44032/46250]	Loss: 0.2439	LR: 0.100000
Training Epoch: 6 [44288/46250]	Loss: 0.2529	LR: 0.100000
Training Epoch: 6 [44544/46250]	Loss: 0.0884	LR: 0.100000
Training Epoch: 6 [44800/46250]	Loss: 0.1298	LR: 0.100000
Training Epoch: 6 [45056/46250]	Loss: 0.1753	LR: 0.100000
Training Epoch: 6 [45312/46250]	Loss: 0.1351	LR: 0.100000
Training Epoch: 6 [45568/46250]	Loss: 0.1522	LR: 0.100000
Training Epoch: 6 [45824/46250]	Loss: 0.1410	LR: 0.100000
Training Epoch: 6 [46080/46250]	Loss: 0.1645	LR: 0.100000
Training Epoch: 6 [46250/46250]	Loss: 0.1890	LR: 0.100000
Epoch 6 - Average Train Loss: 0.1707, Train Accuracy: 0.9420
Epoch 6 training time consumed: 334.86s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0006, Accuracy: 0.9469, Time consumed:23.58s
Training Epoch: 7 [256/46250]	Loss: 0.1020	LR: 0.020000
Training Epoch: 7 [512/46250]	Loss: 0.1269	LR: 0.020000
Training Epoch: 7 [768/46250]	Loss: 0.0958	LR: 0.020000
Training Epoch: 7 [1024/46250]	Loss: 0.0792	LR: 0.020000
Training Epoch: 7 [1280/46250]	Loss: 0.1009	LR: 0.020000
Training Epoch: 7 [1536/46250]	Loss: 0.1655	LR: 0.020000
Training Epoch: 7 [1792/46250]	Loss: 0.0568	LR: 0.020000
Training Epoch: 7 [2048/46250]	Loss: 0.1607	LR: 0.020000
Training Epoch: 7 [2304/46250]	Loss: 0.0904	LR: 0.020000
Training Epoch: 7 [2560/46250]	Loss: 0.1715	LR: 0.020000
Training Epoch: 7 [2816/46250]	Loss: 0.0341	LR: 0.020000
Training Epoch: 7 [3072/46250]	Loss: 0.1287	LR: 0.020000
Training Epoch: 7 [3328/46250]	Loss: 0.0802	LR: 0.020000
Training Epoch: 7 [3584/46250]	Loss: 0.0819	LR: 0.020000
Training Epoch: 7 [3840/46250]	Loss: 0.0608	LR: 0.020000
Training Epoch: 7 [4096/46250]	Loss: 0.0959	LR: 0.020000
Training Epoch: 7 [4352/46250]	Loss: 0.0978	LR: 0.020000
Training Epoch: 7 [4608/46250]	Loss: 0.0606	LR: 0.020000
Training Epoch: 7 [4864/46250]	Loss: 0.0842	LR: 0.020000
Training Epoch: 7 [5120/46250]	Loss: 0.0624	LR: 0.020000
Training Epoch: 7 [5376/46250]	Loss: 0.0724	LR: 0.020000
Training Epoch: 7 [5632/46250]	Loss: 0.0809	LR: 0.020000
Training Epoch: 7 [5888/46250]	Loss: 0.0929	LR: 0.020000
Training Epoch: 7 [6144/46250]	Loss: 0.0733	LR: 0.020000
Training Epoch: 7 [6400/46250]	Loss: 0.0497	LR: 0.020000
Training Epoch: 7 [6656/46250]	Loss: 0.0643	LR: 0.020000
Training Epoch: 7 [6912/46250]	Loss: 0.0468	LR: 0.020000
Training Epoch: 7 [7168/46250]	Loss: 0.0789	LR: 0.020000
Training Epoch: 7 [7424/46250]	Loss: 0.0573	LR: 0.020000
Training Epoch: 7 [7680/46250]	Loss: 0.0680	LR: 0.020000
Training Epoch: 7 [7936/46250]	Loss: 0.0724	LR: 0.020000
Training Epoch: 7 [8192/46250]	Loss: 0.0458	LR: 0.020000
Training Epoch: 7 [8448/46250]	Loss: 0.0533	LR: 0.020000
Training Epoch: 7 [8704/46250]	Loss: 0.0404	LR: 0.020000
Training Epoch: 7 [8960/46250]	Loss: 0.0307	LR: 0.020000
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Training Epoch: 7 [9472/46250]	Loss: 0.0706	LR: 0.020000
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Training Epoch: 7 [10496/46250]	Loss: 0.0528	LR: 0.020000
Training Epoch: 7 [10752/46250]	Loss: 0.0551	LR: 0.020000
Training Epoch: 7 [11008/46250]	Loss: 0.0556	LR: 0.020000
Training Epoch: 7 [11264/46250]	Loss: 0.0931	LR: 0.020000
Training Epoch: 7 [11520/46250]	Loss: 0.0341	LR: 0.020000
Training Epoch: 7 [11776/46250]	Loss: 0.0383	LR: 0.020000
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Training Epoch: 7 [12288/46250]	Loss: 0.0339	LR: 0.020000
Training Epoch: 7 [12544/46250]	Loss: 0.0446	LR: 0.020000
Training Epoch: 7 [12800/46250]	Loss: 0.0425	LR: 0.020000
Training Epoch: 7 [13056/46250]	Loss: 0.0881	LR: 0.020000
Training Epoch: 7 [13312/46250]	Loss: 0.0627	LR: 0.020000
Training Epoch: 7 [13568/46250]	Loss: 0.0642	LR: 0.020000
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Training Epoch: 7 [15616/46250]	Loss: 0.0915	LR: 0.020000
Training Epoch: 7 [15872/46250]	Loss: 0.0815	LR: 0.020000
Training Epoch: 7 [16128/46250]	Loss: 0.0491	LR: 0.020000
Training Epoch: 7 [16384/46250]	Loss: 0.0679	LR: 0.020000
Training Epoch: 7 [16640/46250]	Loss: 0.0827	LR: 0.020000
Training Epoch: 7 [16896/46250]	Loss: 0.0421	LR: 0.020000
Training Epoch: 7 [17152/46250]	Loss: 0.0291	LR: 0.020000
Training Epoch: 7 [17408/46250]	Loss: 0.0594	LR: 0.020000
Training Epoch: 7 [17664/46250]	Loss: 0.0460	LR: 0.020000
Training Epoch: 7 [17920/46250]	Loss: 0.0600	LR: 0.020000
Training Epoch: 7 [18176/46250]	Loss: 0.0904	LR: 0.020000
Training Epoch: 7 [18432/46250]	Loss: 0.0628	LR: 0.020000
Training Epoch: 7 [18688/46250]	Loss: 0.0305	LR: 0.020000
Training Epoch: 7 [18944/46250]	Loss: 0.0673	LR: 0.020000
Training Epoch: 7 [19200/46250]	Loss: 0.0638	LR: 0.020000
Training Epoch: 7 [19456/46250]	Loss: 0.0521	LR: 0.020000
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Training Epoch: 7 [42240/46250]	Loss: 0.0881	LR: 0.020000
Training Epoch: 7 [42496/46250]	Loss: 0.0624	LR: 0.020000
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Training Epoch: 7 [43520/46250]	Loss: 0.0110	LR: 0.020000
Training Epoch: 7 [43776/46250]	Loss: 0.0640	LR: 0.020000
Training Epoch: 7 [44032/46250]	Loss: 0.0470	LR: 0.020000
Training Epoch: 7 [44288/46250]	Loss: 0.0298	LR: 0.020000
Training Epoch: 7 [44544/46250]	Loss: 0.0465	LR: 0.020000
Training Epoch: 7 [44800/46250]	Loss: 0.0239	LR: 0.020000
Training Epoch: 7 [45056/46250]	Loss: 0.0259	LR: 0.020000
Training Epoch: 7 [45312/46250]	Loss: 0.0340	LR: 0.020000
Training Epoch: 7 [45568/46250]	Loss: 0.0328	LR: 0.020000
Training Epoch: 7 [45824/46250]	Loss: 0.0464	LR: 0.020000
Training Epoch: 7 [46080/46250]	Loss: 0.0360	LR: 0.020000
Training Epoch: 7 [46250/46250]	Loss: 0.0218	LR: 0.020000
Epoch 7 - Average Train Loss: 0.0554, Train Accuracy: 0.9809
Epoch 7 training time consumed: 335.38s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0004, Accuracy: 0.9702, Time consumed:23.60s
Saving weights file to checkpoint/retrain/ViT/Friday_18_July_2025_04h_34m_59s/ViT-Cifar10-seed8-ret25-7-best.pth
Training Epoch: 8 [256/46250]	Loss: 0.0224	LR: 0.020000
Training Epoch: 8 [512/46250]	Loss: 0.0354	LR: 0.020000
Training Epoch: 8 [768/46250]	Loss: 0.0283	LR: 0.020000
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Training Epoch: 8 [46080/46250]	Loss: 0.0581	LR: 0.020000
Training Epoch: 8 [46250/46250]	Loss: 0.0638	LR: 0.020000
Epoch 8 - Average Train Loss: 0.0348, Train Accuracy: 0.9879
Epoch 8 training time consumed: 335.12s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0003, Accuracy: 0.9757, Time consumed:23.69s
Saving weights file to checkpoint/retrain/ViT/Friday_18_July_2025_04h_34m_59s/ViT-Cifar10-seed8-ret25-8-best.pth
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: 97.626953125
Retain Accuracy: 99.15291595458984
Zero-Retain Forget (ZRF): 0.7606145143508911
Membership Inference Attack (MIA): 0.8546666666666667
Forget vs Retain Membership Inference Attack (MIA): 0.5266666666666666
Forget vs Test Membership Inference Attack (MIA): 0.516
Test vs Retain Membership Inference Attack (MIA): 0.5105
Train vs Test Membership Inference Attack (MIA): 0.514
Forget Set Accuracy (Df): 96.47998046875
Method Execution Time: 5298.63 seconds
