hello
hello

📌S Retain class distribution for seed 6:
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 6:
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: 2.4088	LR: 0.000000
Training Epoch: 1 [512/46250]	Loss: 2.3908	LR: 0.000552
Training Epoch: 1 [768/46250]	Loss: 2.3773	LR: 0.001105
Training Epoch: 1 [1024/46250]	Loss: 2.3772	LR: 0.001657
Training Epoch: 1 [1280/46250]	Loss: 2.2827	LR: 0.002210
Training Epoch: 1 [1536/46250]	Loss: 2.2604	LR: 0.002762
Training Epoch: 1 [1792/46250]	Loss: 2.0409	LR: 0.003315
Training Epoch: 1 [2048/46250]	Loss: 1.8270	LR: 0.003867
Training Epoch: 1 [2304/46250]	Loss: 1.6501	LR: 0.004420
Training Epoch: 1 [2560/46250]	Loss: 1.4620	LR: 0.004972
Training Epoch: 1 [2816/46250]	Loss: 1.1805	LR: 0.005525
Training Epoch: 1 [3072/46250]	Loss: 0.9238	LR: 0.006077
Training Epoch: 1 [3328/46250]	Loss: 0.6987	LR: 0.006630
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Training Epoch: 1 [4352/46250]	Loss: 0.3620	LR: 0.008840
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Training Epoch: 1 [5888/46250]	Loss: 0.2229	LR: 0.012155
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Training Epoch: 1 [8448/46250]	Loss: 0.2318	LR: 0.017680
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Training Epoch: 1 [8960/46250]	Loss: 0.2597	LR: 0.018785
Training Epoch: 1 [9216/46250]	Loss: 0.2633	LR: 0.019337
Training Epoch: 1 [9472/46250]	Loss: 0.1018	LR: 0.019890
Training Epoch: 1 [9728/46250]	Loss: 0.1661	LR: 0.020442
Training Epoch: 1 [9984/46250]	Loss: 0.2469	LR: 0.020994
Training Epoch: 1 [10240/46250]	Loss: 0.2533	LR: 0.021547
Training Epoch: 1 [10496/46250]	Loss: 0.2141	LR: 0.022099
Training Epoch: 1 [10752/46250]	Loss: 0.2986	LR: 0.022652
Training Epoch: 1 [11008/46250]	Loss: 0.2787	LR: 0.023204
Training Epoch: 1 [11264/46250]	Loss: 0.3237	LR: 0.023757
Training Epoch: 1 [11520/46250]	Loss: 0.3395	LR: 0.024309
Training Epoch: 1 [11776/46250]	Loss: 0.2530	LR: 0.024862
Training Epoch: 1 [12032/46250]	Loss: 0.2375	LR: 0.025414
Training Epoch: 1 [12288/46250]	Loss: 0.2296	LR: 0.025967
Training Epoch: 1 [12544/46250]	Loss: 0.2886	LR: 0.026519
Training Epoch: 1 [12800/46250]	Loss: 0.2102	LR: 0.027072
Training Epoch: 1 [13056/46250]	Loss: 0.2220	LR: 0.027624
Training Epoch: 1 [13312/46250]	Loss: 0.1198	LR: 0.028177
Training Epoch: 1 [13568/46250]	Loss: 0.2039	LR: 0.028729
Training Epoch: 1 [13824/46250]	Loss: 0.2530	LR: 0.029282
Training Epoch: 1 [14080/46250]	Loss: 0.1832	LR: 0.029834
Training Epoch: 1 [14336/46250]	Loss: 0.1998	LR: 0.030387
Training Epoch: 1 [14592/46250]	Loss: 0.2933	LR: 0.030939
Training Epoch: 1 [14848/46250]	Loss: 0.2054	LR: 0.031492
Training Epoch: 1 [15104/46250]	Loss: 0.2707	LR: 0.032044
Training Epoch: 1 [15360/46250]	Loss: 0.2329	LR: 0.032597
Training Epoch: 1 [15616/46250]	Loss: 0.2052	LR: 0.033149
Training Epoch: 1 [15872/46250]	Loss: 0.2319	LR: 0.033702
Training Epoch: 1 [16128/46250]	Loss: 0.1000	LR: 0.034254
Training Epoch: 1 [16384/46250]	Loss: 0.2343	LR: 0.034807
Training Epoch: 1 [16640/46250]	Loss: 0.2390	LR: 0.035359
Training Epoch: 1 [16896/46250]	Loss: 0.1432	LR: 0.035912
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Training Epoch: 1 [18432/46250]	Loss: 0.2003	LR: 0.039227
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Training Epoch: 1 [19968/46250]	Loss: 0.1639	LR: 0.042541
Training Epoch: 1 [20224/46250]	Loss: 0.1874	LR: 0.043094
Training Epoch: 1 [20480/46250]	Loss: 0.1453	LR: 0.043646
Training Epoch: 1 [20736/46250]	Loss: 0.2435	LR: 0.044199
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Training Epoch: 1 [21760/46250]	Loss: 0.2654	LR: 0.046409
Training Epoch: 1 [22016/46250]	Loss: 0.1510	LR: 0.046961
Training Epoch: 1 [22272/46250]	Loss: 0.2747	LR: 0.047514
Training Epoch: 1 [22528/46250]	Loss: 0.2955	LR: 0.048066
Training Epoch: 1 [22784/46250]	Loss: 0.2762	LR: 0.048619
Training Epoch: 1 [23040/46250]	Loss: 0.2484	LR: 0.049171
Training Epoch: 1 [23296/46250]	Loss: 0.2405	LR: 0.049724
Training Epoch: 1 [23552/46250]	Loss: 0.3489	LR: 0.050276
Training Epoch: 1 [23808/46250]	Loss: 0.2091	LR: 0.050829
Training Epoch: 1 [24064/46250]	Loss: 0.2385	LR: 0.051381
Training Epoch: 1 [24320/46250]	Loss: 0.2030	LR: 0.051934
Training Epoch: 1 [24576/46250]	Loss: 0.1963	LR: 0.052486
Training Epoch: 1 [24832/46250]	Loss: 0.3003	LR: 0.053039
Training Epoch: 1 [25088/46250]	Loss: 0.3189	LR: 0.053591
Training Epoch: 1 [25344/46250]	Loss: 0.3587	LR: 0.054144
Training Epoch: 1 [25600/46250]	Loss: 0.3066	LR: 0.054696
Training Epoch: 1 [25856/46250]	Loss: 0.2797	LR: 0.055249
Training Epoch: 1 [26112/46250]	Loss: 0.2346	LR: 0.055801
Training Epoch: 1 [26368/46250]	Loss: 0.2577	LR: 0.056354
Training Epoch: 1 [26624/46250]	Loss: 0.4297	LR: 0.056906
Training Epoch: 1 [26880/46250]	Loss: 0.3925	LR: 0.057459
Training Epoch: 1 [27136/46250]	Loss: 0.2915	LR: 0.058011
Training Epoch: 1 [27392/46250]	Loss: 0.3542	LR: 0.058564
Training Epoch: 1 [27648/46250]	Loss: 0.3410	LR: 0.059116
Training Epoch: 1 [27904/46250]	Loss: 0.2302	LR: 0.059669
Training Epoch: 1 [28160/46250]	Loss: 0.3641	LR: 0.060221
Training Epoch: 1 [28416/46250]	Loss: 0.3030	LR: 0.060773
Training Epoch: 1 [28672/46250]	Loss: 0.3155	LR: 0.061326
Training Epoch: 1 [28928/46250]	Loss: 0.2669	LR: 0.061878
Training Epoch: 1 [29184/46250]	Loss: 0.3992	LR: 0.062431
Training Epoch: 1 [29440/46250]	Loss: 0.2908	LR: 0.062983
Training Epoch: 1 [29696/46250]	Loss: 0.2984	LR: 0.063536
Training Epoch: 1 [29952/46250]	Loss: 0.5924	LR: 0.064088
Training Epoch: 1 [30208/46250]	Loss: 0.2677	LR: 0.064641
Training Epoch: 1 [30464/46250]	Loss: 0.3403	LR: 0.065193
Training Epoch: 1 [30720/46250]	Loss: 0.3432	LR: 0.065746
Training Epoch: 1 [30976/46250]	Loss: 0.3871	LR: 0.066298
Training Epoch: 1 [31232/46250]	Loss: 0.4491	LR: 0.066851
Training Epoch: 1 [31488/46250]	Loss: 0.3263	LR: 0.067403
Training Epoch: 1 [31744/46250]	Loss: 0.3157	LR: 0.067956
Training Epoch: 1 [32000/46250]	Loss: 0.4343	LR: 0.068508
Training Epoch: 1 [32256/46250]	Loss: 0.5311	LR: 0.069061
Training Epoch: 1 [32512/46250]	Loss: 0.3463	LR: 0.069613
Training Epoch: 1 [32768/46250]	Loss: 0.4845	LR: 0.070166
Training Epoch: 1 [33024/46250]	Loss: 0.4748	LR: 0.070718
Training Epoch: 1 [33280/46250]	Loss: 0.4954	LR: 0.071271
Training Epoch: 1 [33536/46250]	Loss: 0.2860	LR: 0.071823
Training Epoch: 1 [33792/46250]	Loss: 0.4771	LR: 0.072376
Training Epoch: 1 [34048/46250]	Loss: 0.3362	LR: 0.072928
Training Epoch: 1 [34304/46250]	Loss: 0.3922	LR: 0.073481
Training Epoch: 1 [34560/46250]	Loss: 0.2753	LR: 0.074033
Training Epoch: 1 [34816/46250]	Loss: 0.5775	LR: 0.074586
Training Epoch: 1 [35072/46250]	Loss: 0.3311	LR: 0.075138
Training Epoch: 1 [35328/46250]	Loss: 0.7484	LR: 0.075691
Training Epoch: 1 [35584/46250]	Loss: 0.3450	LR: 0.076243
Training Epoch: 1 [35840/46250]	Loss: 0.4784	LR: 0.076796
Training Epoch: 1 [36096/46250]	Loss: 0.4772	LR: 0.077348
Training Epoch: 1 [36352/46250]	Loss: 0.4136	LR: 0.077901
Training Epoch: 1 [36608/46250]	Loss: 0.3737	LR: 0.078453
Training Epoch: 1 [36864/46250]	Loss: 0.4903	LR: 0.079006
Training Epoch: 1 [37120/46250]	Loss: 0.3180	LR: 0.079558
Training Epoch: 1 [37376/46250]	Loss: 0.3808	LR: 0.080110
Training Epoch: 1 [37632/46250]	Loss: 0.3286	LR: 0.080663
Training Epoch: 1 [37888/46250]	Loss: 0.4373	LR: 0.081215
Training Epoch: 1 [38144/46250]	Loss: 0.4415	LR: 0.081768
Training Epoch: 1 [38400/46250]	Loss: 0.5930	LR: 0.082320
Training Epoch: 1 [38656/46250]	Loss: 0.6481	LR: 0.082873
Training Epoch: 1 [38912/46250]	Loss: 0.7392	LR: 0.083425
Training Epoch: 1 [39168/46250]	Loss: 0.6582	LR: 0.083978
Training Epoch: 1 [39424/46250]	Loss: 0.3236	LR: 0.084530
Training Epoch: 1 [39680/46250]	Loss: 0.6160	LR: 0.085083
Training Epoch: 1 [39936/46250]	Loss: 0.5153	LR: 0.085635
Training Epoch: 1 [40192/46250]	Loss: 0.7192	LR: 0.086188
Training Epoch: 1 [40448/46250]	Loss: 0.5114	LR: 0.086740
Training Epoch: 1 [40704/46250]	Loss: 0.5466	LR: 0.087293
Training Epoch: 1 [40960/46250]	Loss: 0.4842	LR: 0.087845
Training Epoch: 1 [41216/46250]	Loss: 0.4580	LR: 0.088398
Training Epoch: 1 [41472/46250]	Loss: 0.3753	LR: 0.088950
Training Epoch: 1 [41728/46250]	Loss: 0.4202	LR: 0.089503
Training Epoch: 1 [41984/46250]	Loss: 0.4306	LR: 0.090055
Training Epoch: 1 [42240/46250]	Loss: 0.4049	LR: 0.090608
Training Epoch: 1 [42496/46250]	Loss: 0.5881	LR: 0.091160
Training Epoch: 1 [42752/46250]	Loss: 0.2490	LR: 0.091713
Training Epoch: 1 [43008/46250]	Loss: 0.5316	LR: 0.092265
Training Epoch: 1 [43264/46250]	Loss: 0.8126	LR: 0.092818
Training Epoch: 1 [43520/46250]	Loss: 0.5231	LR: 0.093370
Training Epoch: 1 [43776/46250]	Loss: 0.4997	LR: 0.093923
Training Epoch: 1 [44032/46250]	Loss: 0.5920	LR: 0.094475
Training Epoch: 1 [44288/46250]	Loss: 0.5929	LR: 0.095028
Training Epoch: 1 [44544/46250]	Loss: 0.4846	LR: 0.095580
Training Epoch: 1 [44800/46250]	Loss: 0.4319	LR: 0.096133
Training Epoch: 1 [45056/46250]	Loss: 0.3833	LR: 0.096685
Training Epoch: 1 [45312/46250]	Loss: 0.3235	LR: 0.097238
Training Epoch: 1 [45568/46250]	Loss: 0.3542	LR: 0.097790
Training Epoch: 1 [45824/46250]	Loss: 0.2964	LR: 0.098343
Training Epoch: 1 [46080/46250]	Loss: 0.3824	LR: 0.098895
Training Epoch: 1 [46250/46250]	Loss: 0.2513	LR: 0.099448
Epoch 1 - Average Train Loss: 0.4405, Train Accuracy: 0.8604
Epoch 1 training time consumed: 335.48s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0012, Accuracy: 0.9025, Time consumed:23.65s
Saving weights file to checkpoint/retrain/ViT/Friday_18_July_2025_01h_37m_25s/ViT-Cifar10-seed6-ret25-1-best.pth
Training Epoch: 2 [256/46250]	Loss: 0.4875	LR: 0.100000
Training Epoch: 2 [512/46250]	Loss: 0.4371	LR: 0.100000
Training Epoch: 2 [768/46250]	Loss: 0.3257	LR: 0.100000
Training Epoch: 2 [1024/46250]	Loss: 0.2723	LR: 0.100000
Training Epoch: 2 [1280/46250]	Loss: 0.2963	LR: 0.100000
Training Epoch: 2 [1536/46250]	Loss: 0.4150	LR: 0.100000
Training Epoch: 2 [1792/46250]	Loss: 0.2385	LR: 0.100000
Training Epoch: 2 [2048/46250]	Loss: 0.2512	LR: 0.100000
Training Epoch: 2 [2304/46250]	Loss: 0.4221	LR: 0.100000
Training Epoch: 2 [2560/46250]	Loss: 0.3248	LR: 0.100000
Training Epoch: 2 [2816/46250]	Loss: 0.3561	LR: 0.100000
Training Epoch: 2 [3072/46250]	Loss: 0.3237	LR: 0.100000
Training Epoch: 2 [3328/46250]	Loss: 0.3528	LR: 0.100000
Training Epoch: 2 [3584/46250]	Loss: 0.2498	LR: 0.100000
Training Epoch: 2 [3840/46250]	Loss: 0.2055	LR: 0.100000
Training Epoch: 2 [4096/46250]	Loss: 0.2959	LR: 0.100000
Training Epoch: 2 [4352/46250]	Loss: 0.2868	LR: 0.100000
Training Epoch: 2 [4608/46250]	Loss: 0.2505	LR: 0.100000
Training Epoch: 2 [4864/46250]	Loss: 0.2031	LR: 0.100000
Training Epoch: 2 [5120/46250]	Loss: 0.3027	LR: 0.100000
Training Epoch: 2 [5376/46250]	Loss: 0.2313	LR: 0.100000
Training Epoch: 2 [5632/46250]	Loss: 0.1872	LR: 0.100000
Training Epoch: 2 [5888/46250]	Loss: 0.4722	LR: 0.100000
Training Epoch: 2 [6144/46250]	Loss: 0.2795	LR: 0.100000
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Training Epoch: 2 [6656/46250]	Loss: 0.2401	LR: 0.100000
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Training Epoch: 2 [7168/46250]	Loss: 0.3363	LR: 0.100000
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Training Epoch: 2 [7680/46250]	Loss: 0.3571	LR: 0.100000
Training Epoch: 2 [7936/46250]	Loss: 0.3509	LR: 0.100000
Training Epoch: 2 [8192/46250]	Loss: 0.2414	LR: 0.100000
Training Epoch: 2 [8448/46250]	Loss: 0.3070	LR: 0.100000
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Training Epoch: 2 [10240/46250]	Loss: 0.2807	LR: 0.100000
Training Epoch: 2 [10496/46250]	Loss: 0.2421	LR: 0.100000
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Training Epoch: 2 [13056/46250]	Loss: 0.2536	LR: 0.100000
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Training Epoch: 2 [14592/46250]	Loss: 0.3168	LR: 0.100000
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Training Epoch: 2 [23808/46250]	Loss: 0.2114	LR: 0.100000
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Training Epoch: 2 [46250/46250]	Loss: 0.2871	LR: 0.100000
Epoch 2 - Average Train Loss: 0.2378, Train Accuracy: 0.9214
Epoch 2 training time consumed: 334.90s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0006, Accuracy: 0.9526, Time consumed:23.65s
Saving weights file to checkpoint/retrain/ViT/Friday_18_July_2025_01h_37m_25s/ViT-Cifar10-seed6-ret25-2-best.pth
Training Epoch: 3 [256/46250]	Loss: 0.1573	LR: 0.100000
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Training Epoch: 3 [46250/46250]	Loss: 0.1540	LR: 0.100000
Epoch 3 - Average Train Loss: 0.1392, Train Accuracy: 0.9528
Epoch 3 training time consumed: 334.88s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0005, Accuracy: 0.9620, Time consumed:23.68s
Saving weights file to checkpoint/retrain/ViT/Friday_18_July_2025_01h_37m_25s/ViT-Cifar10-seed6-ret25-3-best.pth
Training Epoch: 4 [256/46250]	Loss: 0.1197	LR: 0.100000
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Training Epoch: 4 [6144/46250]	Loss: 0.1757	LR: 0.100000
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Training Epoch: 4 [8192/46250]	Loss: 0.1280	LR: 0.100000
Training Epoch: 4 [8448/46250]	Loss: 0.1393	LR: 0.100000
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Training Epoch: 4 [11008/46250]	Loss: 0.1318	LR: 0.100000
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Training Epoch: 4 [11520/46250]	Loss: 0.1231	LR: 0.100000
Training Epoch: 4 [11776/46250]	Loss: 0.0711	LR: 0.100000
Training Epoch: 4 [12032/46250]	Loss: 0.2158	LR: 0.100000
Training Epoch: 4 [12288/46250]	Loss: 0.1804	LR: 0.100000
Training Epoch: 4 [12544/46250]	Loss: 0.1336	LR: 0.100000
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Training Epoch: 4 [16384/46250]	Loss: 0.1081	LR: 0.100000
Training Epoch: 4 [16640/46250]	Loss: 0.1553	LR: 0.100000
Training Epoch: 4 [16896/46250]	Loss: 0.1364	LR: 0.100000
Training Epoch: 4 [17152/46250]	Loss: 0.1625	LR: 0.100000
Training Epoch: 4 [17408/46250]	Loss: 0.1624	LR: 0.100000
Training Epoch: 4 [17664/46250]	Loss: 0.2148	LR: 0.100000
Training Epoch: 4 [17920/46250]	Loss: 0.1361	LR: 0.100000
Training Epoch: 4 [18176/46250]	Loss: 0.1433	LR: 0.100000
Training Epoch: 4 [18432/46250]	Loss: 0.1324	LR: 0.100000
Training Epoch: 4 [18688/46250]	Loss: 0.1678	LR: 0.100000
Training Epoch: 4 [18944/46250]	Loss: 0.0838	LR: 0.100000
Training Epoch: 4 [19200/46250]	Loss: 0.0950	LR: 0.100000
Training Epoch: 4 [19456/46250]	Loss: 0.2036	LR: 0.100000
Training Epoch: 4 [19712/46250]	Loss: 0.1352	LR: 0.100000
Training Epoch: 4 [19968/46250]	Loss: 0.1814	LR: 0.100000
Training Epoch: 4 [20224/46250]	Loss: 0.1241	LR: 0.100000
Training Epoch: 4 [20480/46250]	Loss: 0.1168	LR: 0.100000
Training Epoch: 4 [20736/46250]	Loss: 0.1521	LR: 0.100000
Training Epoch: 4 [20992/46250]	Loss: 0.2345	LR: 0.100000
Training Epoch: 4 [21248/46250]	Loss: 0.1302	LR: 0.100000
Training Epoch: 4 [21504/46250]	Loss: 0.1850	LR: 0.100000
Training Epoch: 4 [21760/46250]	Loss: 0.1758	LR: 0.100000
Training Epoch: 4 [22016/46250]	Loss: 0.1745	LR: 0.100000
Training Epoch: 4 [22272/46250]	Loss: 0.1848	LR: 0.100000
Training Epoch: 4 [22528/46250]	Loss: 0.1935	LR: 0.100000
Training Epoch: 4 [22784/46250]	Loss: 0.1892	LR: 0.100000
Training Epoch: 4 [23040/46250]	Loss: 0.1974	LR: 0.100000
Training Epoch: 4 [23296/46250]	Loss: 0.1004	LR: 0.100000
Training Epoch: 4 [23552/46250]	Loss: 0.1574	LR: 0.100000
Training Epoch: 4 [23808/46250]	Loss: 0.1974	LR: 0.100000
Training Epoch: 4 [24064/46250]	Loss: 0.1201	LR: 0.100000
Training Epoch: 4 [24320/46250]	Loss: 0.1492	LR: 0.100000
Training Epoch: 4 [24576/46250]	Loss: 0.1362	LR: 0.100000
Training Epoch: 4 [24832/46250]	Loss: 0.1637	LR: 0.100000
Training Epoch: 4 [25088/46250]	Loss: 0.1396	LR: 0.100000
Training Epoch: 4 [25344/46250]	Loss: 0.0921	LR: 0.100000
Training Epoch: 4 [25600/46250]	Loss: 0.1022	LR: 0.100000
Training Epoch: 4 [25856/46250]	Loss: 0.1865	LR: 0.100000
Training Epoch: 4 [26112/46250]	Loss: 0.1244	LR: 0.100000
Training Epoch: 4 [26368/46250]	Loss: 0.1733	LR: 0.100000
Training Epoch: 4 [26624/46250]	Loss: 0.1386	LR: 0.100000
Training Epoch: 4 [26880/46250]	Loss: 0.1940	LR: 0.100000
Training Epoch: 4 [27136/46250]	Loss: 0.1124	LR: 0.100000
Training Epoch: 4 [27392/46250]	Loss: 0.1929	LR: 0.100000
Training Epoch: 4 [27648/46250]	Loss: 0.1655	LR: 0.100000
Training Epoch: 4 [27904/46250]	Loss: 0.2284	LR: 0.100000
Training Epoch: 4 [28160/46250]	Loss: 0.1889	LR: 0.100000
Training Epoch: 4 [28416/46250]	Loss: 0.1505	LR: 0.100000
Training Epoch: 4 [28672/46250]	Loss: 0.2310	LR: 0.100000
Training Epoch: 4 [28928/46250]	Loss: 0.1883	LR: 0.100000
Training Epoch: 4 [29184/46250]	Loss: 0.1778	LR: 0.100000
Training Epoch: 4 [29440/46250]	Loss: 0.1338	LR: 0.100000
Training Epoch: 4 [29696/46250]	Loss: 0.1839	LR: 0.100000
Training Epoch: 4 [29952/46250]	Loss: 0.2070	LR: 0.100000
Training Epoch: 4 [30208/46250]	Loss: 0.1676	LR: 0.100000
Training Epoch: 4 [30464/46250]	Loss: 0.1143	LR: 0.100000
Training Epoch: 4 [30720/46250]	Loss: 0.1966	LR: 0.100000
Training Epoch: 4 [30976/46250]	Loss: 0.1814	LR: 0.100000
Training Epoch: 4 [31232/46250]	Loss: 0.1372	LR: 0.100000
Training Epoch: 4 [31488/46250]	Loss: 0.2125	LR: 0.100000
Training Epoch: 4 [31744/46250]	Loss: 0.1741	LR: 0.100000
Training Epoch: 4 [32000/46250]	Loss: 0.0768	LR: 0.100000
Training Epoch: 4 [32256/46250]	Loss: 0.1134	LR: 0.100000
Training Epoch: 4 [32512/46250]	Loss: 0.2483	LR: 0.100000
Training Epoch: 4 [32768/46250]	Loss: 0.1255	LR: 0.100000
Training Epoch: 4 [33024/46250]	Loss: 0.1523	LR: 0.100000
Training Epoch: 4 [33280/46250]	Loss: 0.1318	LR: 0.100000
Training Epoch: 4 [33536/46250]	Loss: 0.1159	LR: 0.100000
Training Epoch: 4 [33792/46250]	Loss: 0.2242	LR: 0.100000
Training Epoch: 4 [34048/46250]	Loss: 0.1750	LR: 0.100000
Training Epoch: 4 [34304/46250]	Loss: 0.1061	LR: 0.100000
Training Epoch: 4 [34560/46250]	Loss: 0.1738	LR: 0.100000
Training Epoch: 4 [34816/46250]	Loss: 0.1992	LR: 0.100000
Training Epoch: 4 [35072/46250]	Loss: 0.1769	LR: 0.100000
Training Epoch: 4 [35328/46250]	Loss: 0.1496	LR: 0.100000
Training Epoch: 4 [35584/46250]	Loss: 0.0887	LR: 0.100000
Training Epoch: 4 [35840/46250]	Loss: 0.2017	LR: 0.100000
Training Epoch: 4 [36096/46250]	Loss: 0.2206	LR: 0.100000
Training Epoch: 4 [36352/46250]	Loss: 0.0682	LR: 0.100000
Training Epoch: 4 [36608/46250]	Loss: 0.1457	LR: 0.100000
Training Epoch: 4 [36864/46250]	Loss: 0.2130	LR: 0.100000
Training Epoch: 4 [37120/46250]	Loss: 0.2320	LR: 0.100000
Training Epoch: 4 [37376/46250]	Loss: 0.1924	LR: 0.100000
Training Epoch: 4 [37632/46250]	Loss: 0.1345	LR: 0.100000
Training Epoch: 4 [37888/46250]	Loss: 0.2210	LR: 0.100000
Training Epoch: 4 [38144/46250]	Loss: 0.1406	LR: 0.100000
Training Epoch: 4 [38400/46250]	Loss: 0.2059	LR: 0.100000
Training Epoch: 4 [38656/46250]	Loss: 0.1323	LR: 0.100000
Training Epoch: 4 [38912/46250]	Loss: 0.2373	LR: 0.100000
Training Epoch: 4 [39168/46250]	Loss: 0.1975	LR: 0.100000
Training Epoch: 4 [39424/46250]	Loss: 0.1552	LR: 0.100000
Training Epoch: 4 [39680/46250]	Loss: 0.2445	LR: 0.100000
Training Epoch: 4 [39936/46250]	Loss: 0.1695	LR: 0.100000
Training Epoch: 4 [40192/46250]	Loss: 0.1112	LR: 0.100000
Training Epoch: 4 [40448/46250]	Loss: 0.1830	LR: 0.100000
Training Epoch: 4 [40704/46250]	Loss: 0.2958	LR: 0.100000
Training Epoch: 4 [40960/46250]	Loss: 0.0987	LR: 0.100000
Training Epoch: 4 [41216/46250]	Loss: 0.1736	LR: 0.100000
Training Epoch: 4 [41472/46250]	Loss: 0.1924	LR: 0.100000
Training Epoch: 4 [41728/46250]	Loss: 0.1917	LR: 0.100000
Training Epoch: 4 [41984/46250]	Loss: 0.2105	LR: 0.100000
Training Epoch: 4 [42240/46250]	Loss: 0.1410	LR: 0.100000
Training Epoch: 4 [42496/46250]	Loss: 0.2065	LR: 0.100000
Training Epoch: 4 [42752/46250]	Loss: 0.1342	LR: 0.100000
Training Epoch: 4 [43008/46250]	Loss: 0.1289	LR: 0.100000
Training Epoch: 4 [43264/46250]	Loss: 0.1189	LR: 0.100000
Training Epoch: 4 [43520/46250]	Loss: 0.1685	LR: 0.100000
Training Epoch: 4 [43776/46250]	Loss: 0.1768	LR: 0.100000
Training Epoch: 4 [44032/46250]	Loss: 0.1508	LR: 0.100000
Training Epoch: 4 [44288/46250]	Loss: 0.1410	LR: 0.100000
Training Epoch: 4 [44544/46250]	Loss: 0.1142	LR: 0.100000
Training Epoch: 4 [44800/46250]	Loss: 0.1052	LR: 0.100000
Training Epoch: 4 [45056/46250]	Loss: 0.1785	LR: 0.100000
Training Epoch: 4 [45312/46250]	Loss: 0.1225	LR: 0.100000
Training Epoch: 4 [45568/46250]	Loss: 0.1267	LR: 0.100000
Training Epoch: 4 [45824/46250]	Loss: 0.2276	LR: 0.100000
Training Epoch: 4 [46080/46250]	Loss: 0.1845	LR: 0.100000
Training Epoch: 4 [46250/46250]	Loss: 0.1521	LR: 0.100000
Epoch 4 - Average Train Loss: 0.1537, Train Accuracy: 0.9472
Epoch 4 training time consumed: 335.07s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0006, Accuracy: 0.9515, Time consumed:23.65s
Training Epoch: 5 [256/46250]	Loss: 0.1228	LR: 0.100000
Training Epoch: 5 [512/46250]	Loss: 0.1131	LR: 0.100000
Training Epoch: 5 [768/46250]	Loss: 0.1417	LR: 0.100000
Training Epoch: 5 [1024/46250]	Loss: 0.1283	LR: 0.100000
Training Epoch: 5 [1280/46250]	Loss: 0.1429	LR: 0.100000
Training Epoch: 5 [1536/46250]	Loss: 0.1603	LR: 0.100000
Training Epoch: 5 [1792/46250]	Loss: 0.1532	LR: 0.100000
Training Epoch: 5 [2048/46250]	Loss: 0.1836	LR: 0.100000
Training Epoch: 5 [2304/46250]	Loss: 0.1340	LR: 0.100000
Training Epoch: 5 [2560/46250]	Loss: 0.1925	LR: 0.100000
Training Epoch: 5 [2816/46250]	Loss: 0.2151	LR: 0.100000
Training Epoch: 5 [3072/46250]	Loss: 0.1277	LR: 0.100000
Training Epoch: 5 [3328/46250]	Loss: 0.1477	LR: 0.100000
Training Epoch: 5 [3584/46250]	Loss: 0.1673	LR: 0.100000
Training Epoch: 5 [3840/46250]	Loss: 0.1032	LR: 0.100000
Training Epoch: 5 [4096/46250]	Loss: 0.1063	LR: 0.100000
Training Epoch: 5 [4352/46250]	Loss: 0.1147	LR: 0.100000
Training Epoch: 5 [4608/46250]	Loss: 0.1065	LR: 0.100000
Training Epoch: 5 [4864/46250]	Loss: 0.0997	LR: 0.100000
Training Epoch: 5 [5120/46250]	Loss: 0.2038	LR: 0.100000
Training Epoch: 5 [5376/46250]	Loss: 0.1229	LR: 0.100000
Training Epoch: 5 [5632/46250]	Loss: 0.1919	LR: 0.100000
Training Epoch: 5 [5888/46250]	Loss: 0.1332	LR: 0.100000
Training Epoch: 5 [6144/46250]	Loss: 0.1904	LR: 0.100000
Training Epoch: 5 [6400/46250]	Loss: 0.1454	LR: 0.100000
Training Epoch: 5 [6656/46250]	Loss: 0.1739	LR: 0.100000
Training Epoch: 5 [6912/46250]	Loss: 0.1432	LR: 0.100000
Training Epoch: 5 [7168/46250]	Loss: 0.1059	LR: 0.100000
Training Epoch: 5 [7424/46250]	Loss: 0.1056	LR: 0.100000
Training Epoch: 5 [7680/46250]	Loss: 0.1333	LR: 0.100000
Training Epoch: 5 [7936/46250]	Loss: 0.1958	LR: 0.100000
Training Epoch: 5 [8192/46250]	Loss: 0.1354	LR: 0.100000
Training Epoch: 5 [8448/46250]	Loss: 0.1769	LR: 0.100000
Training Epoch: 5 [8704/46250]	Loss: 0.1429	LR: 0.100000
Training Epoch: 5 [8960/46250]	Loss: 0.1259	LR: 0.100000
Training Epoch: 5 [9216/46250]	Loss: 0.1619	LR: 0.100000
Training Epoch: 5 [9472/46250]	Loss: 0.0924	LR: 0.100000
Training Epoch: 5 [9728/46250]	Loss: 0.1589	LR: 0.100000
Training Epoch: 5 [9984/46250]	Loss: 0.1434	LR: 0.100000
Training Epoch: 5 [10240/46250]	Loss: 0.1947	LR: 0.100000
Training Epoch: 5 [10496/46250]	Loss: 0.1545	LR: 0.100000
Training Epoch: 5 [10752/46250]	Loss: 0.2279	LR: 0.100000
Training Epoch: 5 [11008/46250]	Loss: 0.1337	LR: 0.100000
Training Epoch: 5 [11264/46250]	Loss: 0.1930	LR: 0.100000
Training Epoch: 5 [11520/46250]	Loss: 0.1557	LR: 0.100000
Training Epoch: 5 [11776/46250]	Loss: 0.2519	LR: 0.100000
Training Epoch: 5 [12032/46250]	Loss: 0.1268	LR: 0.100000
Training Epoch: 5 [12288/46250]	Loss: 0.1909	LR: 0.100000
Training Epoch: 5 [12544/46250]	Loss: 0.1876	LR: 0.100000
Training Epoch: 5 [12800/46250]	Loss: 0.2202	LR: 0.100000
Training Epoch: 5 [13056/46250]	Loss: 0.1528	LR: 0.100000
Training Epoch: 5 [13312/46250]	Loss: 0.1866	LR: 0.100000
Training Epoch: 5 [13568/46250]	Loss: 0.1262	LR: 0.100000
Training Epoch: 5 [13824/46250]	Loss: 0.0769	LR: 0.100000
Training Epoch: 5 [14080/46250]	Loss: 0.1081	LR: 0.100000
Training Epoch: 5 [14336/46250]	Loss: 0.1125	LR: 0.100000
Training Epoch: 5 [14592/46250]	Loss: 0.1195	LR: 0.100000
Training Epoch: 5 [14848/46250]	Loss: 0.1439	LR: 0.100000
Training Epoch: 5 [15104/46250]	Loss: 0.1903	LR: 0.100000
Training Epoch: 5 [15360/46250]	Loss: 0.1436	LR: 0.100000
Training Epoch: 5 [15616/46250]	Loss: 0.1540	LR: 0.100000
Training Epoch: 5 [15872/46250]	Loss: 0.0958	LR: 0.100000
Training Epoch: 5 [16128/46250]	Loss: 0.1708	LR: 0.100000
Training Epoch: 5 [16384/46250]	Loss: 0.1313	LR: 0.100000
Training Epoch: 5 [16640/46250]	Loss: 0.1295	LR: 0.100000
Training Epoch: 5 [16896/46250]	Loss: 0.0738	LR: 0.100000
Training Epoch: 5 [17152/46250]	Loss: 0.1450	LR: 0.100000
Training Epoch: 5 [17408/46250]	Loss: 0.1501	LR: 0.100000
Training Epoch: 5 [17664/46250]	Loss: 0.1986	LR: 0.100000
Training Epoch: 5 [17920/46250]	Loss: 0.1851	LR: 0.100000
Training Epoch: 5 [18176/46250]	Loss: 0.1466	LR: 0.100000
Training Epoch: 5 [18432/46250]	Loss: 0.1769	LR: 0.100000
Training Epoch: 5 [18688/46250]	Loss: 0.1342	LR: 0.100000
Training Epoch: 5 [18944/46250]	Loss: 0.2457	LR: 0.100000
Training Epoch: 5 [19200/46250]	Loss: 0.1481	LR: 0.100000
Training Epoch: 5 [19456/46250]	Loss: 0.1161	LR: 0.100000
Training Epoch: 5 [19712/46250]	Loss: 0.2132	LR: 0.100000
Training Epoch: 5 [19968/46250]	Loss: 0.1808	LR: 0.100000
Training Epoch: 5 [20224/46250]	Loss: 0.1528	LR: 0.100000
Training Epoch: 5 [20480/46250]	Loss: 0.2399	LR: 0.100000
Training Epoch: 5 [20736/46250]	Loss: 0.1535	LR: 0.100000
Training Epoch: 5 [20992/46250]	Loss: 0.1180	LR: 0.100000
Training Epoch: 5 [21248/46250]	Loss: 0.1441	LR: 0.100000
Training Epoch: 5 [21504/46250]	Loss: 0.1611	LR: 0.100000
Training Epoch: 5 [21760/46250]	Loss: 0.1273	LR: 0.100000
Training Epoch: 5 [22016/46250]	Loss: 0.1705	LR: 0.100000
Training Epoch: 5 [22272/46250]	Loss: 0.1203	LR: 0.100000
Training Epoch: 5 [22528/46250]	Loss: 0.1301	LR: 0.100000
Training Epoch: 5 [22784/46250]	Loss: 0.1094	LR: 0.100000
Training Epoch: 5 [23040/46250]	Loss: 0.1339	LR: 0.100000
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Training Epoch: 5 [23552/46250]	Loss: 0.1999	LR: 0.100000
Training Epoch: 5 [23808/46250]	Loss: 0.2118	LR: 0.100000
Training Epoch: 5 [24064/46250]	Loss: 0.1161	LR: 0.100000
Training Epoch: 5 [24320/46250]	Loss: 0.1525	LR: 0.100000
Training Epoch: 5 [24576/46250]	Loss: 0.3098	LR: 0.100000
Training Epoch: 5 [24832/46250]	Loss: 0.1105	LR: 0.100000
Training Epoch: 5 [25088/46250]	Loss: 0.1783	LR: 0.100000
Training Epoch: 5 [25344/46250]	Loss: 0.2801	LR: 0.100000
Training Epoch: 5 [25600/46250]	Loss: 0.1950	LR: 0.100000
Training Epoch: 5 [25856/46250]	Loss: 0.2905	LR: 0.100000
Training Epoch: 5 [26112/46250]	Loss: 0.3783	LR: 0.100000
Training Epoch: 5 [26368/46250]	Loss: 0.2521	LR: 0.100000
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Training Epoch: 5 [26880/46250]	Loss: 0.2708	LR: 0.100000
Training Epoch: 5 [27136/46250]	Loss: 0.2913	LR: 0.100000
Training Epoch: 5 [27392/46250]	Loss: 0.2919	LR: 0.100000
Training Epoch: 5 [27648/46250]	Loss: 0.2047	LR: 0.100000
Training Epoch: 5 [27904/46250]	Loss: 0.2530	LR: 0.100000
Training Epoch: 5 [28160/46250]	Loss: 0.1853	LR: 0.100000
Training Epoch: 5 [28416/46250]	Loss: 0.1176	LR: 0.100000
Training Epoch: 5 [28672/46250]	Loss: 0.2882	LR: 0.100000
Training Epoch: 5 [28928/46250]	Loss: 0.1774	LR: 0.100000
Training Epoch: 5 [29184/46250]	Loss: 0.1608	LR: 0.100000
Training Epoch: 5 [29440/46250]	Loss: 0.2376	LR: 0.100000
Training Epoch: 5 [29696/46250]	Loss: 0.2352	LR: 0.100000
Training Epoch: 5 [29952/46250]	Loss: 0.1340	LR: 0.100000
Training Epoch: 5 [30208/46250]	Loss: 0.1272	LR: 0.100000
Training Epoch: 5 [30464/46250]	Loss: 0.2397	LR: 0.100000
Training Epoch: 5 [30720/46250]	Loss: 0.1828	LR: 0.100000
Training Epoch: 5 [30976/46250]	Loss: 0.2588	LR: 0.100000
Training Epoch: 5 [31232/46250]	Loss: 0.1976	LR: 0.100000
Training Epoch: 5 [31488/46250]	Loss: 0.2009	LR: 0.100000
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Training Epoch: 5 [32256/46250]	Loss: 0.1671	LR: 0.100000
Training Epoch: 5 [32512/46250]	Loss: 0.2135	LR: 0.100000
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Training Epoch: 5 [33536/46250]	Loss: 0.1599	LR: 0.100000
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Training Epoch: 5 [34304/46250]	Loss: 0.1393	LR: 0.100000
Training Epoch: 5 [34560/46250]	Loss: 0.1353	LR: 0.100000
Training Epoch: 5 [34816/46250]	Loss: 0.1599	LR: 0.100000
Training Epoch: 5 [35072/46250]	Loss: 0.2311	LR: 0.100000
Training Epoch: 5 [35328/46250]	Loss: 0.1869	LR: 0.100000
Training Epoch: 5 [35584/46250]	Loss: 0.1418	LR: 0.100000
Training Epoch: 5 [35840/46250]	Loss: 0.1663	LR: 0.100000
Training Epoch: 5 [36096/46250]	Loss: 0.1145	LR: 0.100000
Training Epoch: 5 [36352/46250]	Loss: 0.2998	LR: 0.100000
Training Epoch: 5 [36608/46250]	Loss: 0.2067	LR: 0.100000
Training Epoch: 5 [36864/46250]	Loss: 0.1394	LR: 0.100000
Training Epoch: 5 [37120/46250]	Loss: 0.1721	LR: 0.100000
Training Epoch: 5 [37376/46250]	Loss: 0.1865	LR: 0.100000
Training Epoch: 5 [37632/46250]	Loss: 0.1255	LR: 0.100000
Training Epoch: 5 [37888/46250]	Loss: 0.1440	LR: 0.100000
Training Epoch: 5 [38144/46250]	Loss: 0.1236	LR: 0.100000
Training Epoch: 5 [38400/46250]	Loss: 0.1404	LR: 0.100000
Training Epoch: 5 [38656/46250]	Loss: 0.1786	LR: 0.100000
Training Epoch: 5 [38912/46250]	Loss: 0.1739	LR: 0.100000
Training Epoch: 5 [39168/46250]	Loss: 0.2067	LR: 0.100000
Training Epoch: 5 [39424/46250]	Loss: 0.1415	LR: 0.100000
Training Epoch: 5 [39680/46250]	Loss: 0.1517	LR: 0.100000
Training Epoch: 5 [39936/46250]	Loss: 0.0842	LR: 0.100000
Training Epoch: 5 [40192/46250]	Loss: 0.1542	LR: 0.100000
Training Epoch: 5 [40448/46250]	Loss: 0.2186	LR: 0.100000
Training Epoch: 5 [40704/46250]	Loss: 0.1249	LR: 0.100000
Training Epoch: 5 [40960/46250]	Loss: 0.2207	LR: 0.100000
Training Epoch: 5 [41216/46250]	Loss: 0.1687	LR: 0.100000
Training Epoch: 5 [41472/46250]	Loss: 0.1829	LR: 0.100000
Training Epoch: 5 [41728/46250]	Loss: 0.2317	LR: 0.100000
Training Epoch: 5 [41984/46250]	Loss: 0.1927	LR: 0.100000
Training Epoch: 5 [42240/46250]	Loss: 0.2062	LR: 0.100000
Training Epoch: 5 [42496/46250]	Loss: 0.1517	LR: 0.100000
Training Epoch: 5 [42752/46250]	Loss: 0.2275	LR: 0.100000
Training Epoch: 5 [43008/46250]	Loss: 0.1942	LR: 0.100000
Training Epoch: 5 [43264/46250]	Loss: 0.1808	LR: 0.100000
Training Epoch: 5 [43520/46250]	Loss: 0.2109	LR: 0.100000
Training Epoch: 5 [43776/46250]	Loss: 0.1889	LR: 0.100000
Training Epoch: 5 [44032/46250]	Loss: 0.1888	LR: 0.100000
Training Epoch: 5 [44288/46250]	Loss: 0.0880	LR: 0.100000
Training Epoch: 5 [44544/46250]	Loss: 0.1729	LR: 0.100000
Training Epoch: 5 [44800/46250]	Loss: 0.1481	LR: 0.100000
Training Epoch: 5 [45056/46250]	Loss: 0.1226	LR: 0.100000
Training Epoch: 5 [45312/46250]	Loss: 0.1262	LR: 0.100000
Training Epoch: 5 [45568/46250]	Loss: 0.2463	LR: 0.100000
Training Epoch: 5 [45824/46250]	Loss: 0.2555	LR: 0.100000
Training Epoch: 5 [46080/46250]	Loss: 0.2183	LR: 0.100000
Training Epoch: 5 [46250/46250]	Loss: 0.1712	LR: 0.100000
Epoch 5 - Average Train Loss: 0.1701, Train Accuracy: 0.9419
Epoch 5 training time consumed: 335.24s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0007, Accuracy: 0.9384, Time consumed:23.69s
Training Epoch: 6 [256/46250]	Loss: 0.2232	LR: 0.100000
Training Epoch: 6 [512/46250]	Loss: 0.2061	LR: 0.100000
Training Epoch: 6 [768/46250]	Loss: 0.3413	LR: 0.100000
Training Epoch: 6 [1024/46250]	Loss: 0.2034	LR: 0.100000
Training Epoch: 6 [1280/46250]	Loss: 0.3066	LR: 0.100000
Training Epoch: 6 [1536/46250]	Loss: 0.1935	LR: 0.100000
Training Epoch: 6 [1792/46250]	Loss: 0.2264	LR: 0.100000
Training Epoch: 6 [2048/46250]	Loss: 0.2104	LR: 0.100000
Training Epoch: 6 [2304/46250]	Loss: 0.1811	LR: 0.100000
Training Epoch: 6 [2560/46250]	Loss: 0.1776	LR: 0.100000
Training Epoch: 6 [2816/46250]	Loss: 0.1920	LR: 0.100000
Training Epoch: 6 [3072/46250]	Loss: 0.1621	LR: 0.100000
Training Epoch: 6 [3328/46250]	Loss: 0.1556	LR: 0.100000
Training Epoch: 6 [3584/46250]	Loss: 0.2704	LR: 0.100000
Training Epoch: 6 [3840/46250]	Loss: 0.1542	LR: 0.100000
Training Epoch: 6 [4096/46250]	Loss: 0.2037	LR: 0.100000
Training Epoch: 6 [4352/46250]	Loss: 0.1294	LR: 0.100000
Training Epoch: 6 [4608/46250]	Loss: 0.2325	LR: 0.100000
Training Epoch: 6 [4864/46250]	Loss: 0.2348	LR: 0.100000
Training Epoch: 6 [5120/46250]	Loss: 0.0932	LR: 0.100000
Training Epoch: 6 [5376/46250]	Loss: 0.2494	LR: 0.100000
Training Epoch: 6 [5632/46250]	Loss: 0.1281	LR: 0.100000
Training Epoch: 6 [5888/46250]	Loss: 0.1343	LR: 0.100000
Training Epoch: 6 [6144/46250]	Loss: 0.1178	LR: 0.100000
Training Epoch: 6 [6400/46250]	Loss: 0.1148	LR: 0.100000
Training Epoch: 6 [6656/46250]	Loss: 0.1721	LR: 0.100000
Training Epoch: 6 [6912/46250]	Loss: 0.1534	LR: 0.100000
Training Epoch: 6 [7168/46250]	Loss: 0.1548	LR: 0.100000
Training Epoch: 6 [7424/46250]	Loss: 0.1267	LR: 0.100000
Training Epoch: 6 [7680/46250]	Loss: 0.1548	LR: 0.100000
Training Epoch: 6 [7936/46250]	Loss: 0.1466	LR: 0.100000
Training Epoch: 6 [8192/46250]	Loss: 0.2136	LR: 0.100000
Training Epoch: 6 [8448/46250]	Loss: 0.1489	LR: 0.100000
Training Epoch: 6 [8704/46250]	Loss: 0.1948	LR: 0.100000
Training Epoch: 6 [8960/46250]	Loss: 0.2135	LR: 0.100000
Training Epoch: 6 [9216/46250]	Loss: 0.2446	LR: 0.100000
Training Epoch: 6 [9472/46250]	Loss: 0.1552	LR: 0.100000
Training Epoch: 6 [9728/46250]	Loss: 0.1876	LR: 0.100000
Training Epoch: 6 [9984/46250]	Loss: 0.2171	LR: 0.100000
Training Epoch: 6 [10240/46250]	Loss: 0.0796	LR: 0.100000
Training Epoch: 6 [10496/46250]	Loss: 0.1273	LR: 0.100000
Training Epoch: 6 [10752/46250]	Loss: 0.2954	LR: 0.100000
Training Epoch: 6 [11008/46250]	Loss: 0.1254	LR: 0.100000
Training Epoch: 6 [11264/46250]	Loss: 0.1388	LR: 0.100000
Training Epoch: 6 [11520/46250]	Loss: 0.2464	LR: 0.100000
Training Epoch: 6 [11776/46250]	Loss: 0.1231	LR: 0.100000
Training Epoch: 6 [12032/46250]	Loss: 0.1345	LR: 0.100000
Training Epoch: 6 [12288/46250]	Loss: 0.1905	LR: 0.100000
Training Epoch: 6 [12544/46250]	Loss: 0.1682	LR: 0.100000
Training Epoch: 6 [12800/46250]	Loss: 0.1211	LR: 0.100000
Training Epoch: 6 [13056/46250]	Loss: 0.1570	LR: 0.100000
Training Epoch: 6 [13312/46250]	Loss: 0.1323	LR: 0.100000
Training Epoch: 6 [13568/46250]	Loss: 0.1504	LR: 0.100000
Training Epoch: 6 [13824/46250]	Loss: 0.0949	LR: 0.100000
Training Epoch: 6 [14080/46250]	Loss: 0.2251	LR: 0.100000
Training Epoch: 6 [14336/46250]	Loss: 0.1512	LR: 0.100000
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Training Epoch: 6 [14848/46250]	Loss: 0.1702	LR: 0.100000
Training Epoch: 6 [15104/46250]	Loss: 0.1503	LR: 0.100000
Training Epoch: 6 [15360/46250]	Loss: 0.1932	LR: 0.100000
Training Epoch: 6 [15616/46250]	Loss: 0.0891	LR: 0.100000
Training Epoch: 6 [15872/46250]	Loss: 0.1100	LR: 0.100000
Training Epoch: 6 [16128/46250]	Loss: 0.1937	LR: 0.100000
Training Epoch: 6 [16384/46250]	Loss: 0.1799	LR: 0.100000
Training Epoch: 6 [16640/46250]	Loss: 0.1001	LR: 0.100000
Training Epoch: 6 [16896/46250]	Loss: 0.2374	LR: 0.100000
Training Epoch: 6 [17152/46250]	Loss: 0.1695	LR: 0.100000
Training Epoch: 6 [17408/46250]	Loss: 0.1384	LR: 0.100000
Training Epoch: 6 [17664/46250]	Loss: 0.2447	LR: 0.100000
Training Epoch: 6 [17920/46250]	Loss: 0.1465	LR: 0.100000
Training Epoch: 6 [18176/46250]	Loss: 0.2254	LR: 0.100000
Training Epoch: 6 [18432/46250]	Loss: 0.1872	LR: 0.100000
Training Epoch: 6 [18688/46250]	Loss: 0.1383	LR: 0.100000
Training Epoch: 6 [18944/46250]	Loss: 0.1585	LR: 0.100000
Training Epoch: 6 [19200/46250]	Loss: 0.0842	LR: 0.100000
Training Epoch: 6 [19456/46250]	Loss: 0.1263	LR: 0.100000
Training Epoch: 6 [19712/46250]	Loss: 0.1490	LR: 0.100000
Training Epoch: 6 [19968/46250]	Loss: 0.2324	LR: 0.100000
Training Epoch: 6 [20224/46250]	Loss: 0.2472	LR: 0.100000
Training Epoch: 6 [20480/46250]	Loss: 0.2013	LR: 0.100000
Training Epoch: 6 [20736/46250]	Loss: 0.1512	LR: 0.100000
Training Epoch: 6 [20992/46250]	Loss: 0.1423	LR: 0.100000
Training Epoch: 6 [21248/46250]	Loss: 0.3364	LR: 0.100000
Training Epoch: 6 [21504/46250]	Loss: 0.1416	LR: 0.100000
Training Epoch: 6 [21760/46250]	Loss: 0.1559	LR: 0.100000
Training Epoch: 6 [22016/46250]	Loss: 0.1576	LR: 0.100000
Training Epoch: 6 [22272/46250]	Loss: 0.2385	LR: 0.100000
Training Epoch: 6 [22528/46250]	Loss: 0.1827	LR: 0.100000
Training Epoch: 6 [22784/46250]	Loss: 0.1490	LR: 0.100000
Training Epoch: 6 [23040/46250]	Loss: 0.1389	LR: 0.100000
Training Epoch: 6 [23296/46250]	Loss: 0.1528	LR: 0.100000
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Training Epoch: 6 [25344/46250]	Loss: 0.1886	LR: 0.100000
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Training Epoch: 6 [26368/46250]	Loss: 0.1346	LR: 0.100000
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Training Epoch: 6 [27136/46250]	Loss: 0.1890	LR: 0.100000
Training Epoch: 6 [27392/46250]	Loss: 0.1538	LR: 0.100000
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Training Epoch: 6 [27904/46250]	Loss: 0.1350	LR: 0.100000
Training Epoch: 6 [28160/46250]	Loss: 0.1663	LR: 0.100000
Training Epoch: 6 [28416/46250]	Loss: 0.2057	LR: 0.100000
Training Epoch: 6 [28672/46250]	Loss: 0.1486	LR: 0.100000
Training Epoch: 6 [28928/46250]	Loss: 0.2258	LR: 0.100000
Training Epoch: 6 [29184/46250]	Loss: 0.1407	LR: 0.100000
Training Epoch: 6 [29440/46250]	Loss: 0.1896	LR: 0.100000
Training Epoch: 6 [29696/46250]	Loss: 0.1374	LR: 0.100000
Training Epoch: 6 [29952/46250]	Loss: 0.1410	LR: 0.100000
Training Epoch: 6 [30208/46250]	Loss: 0.1655	LR: 0.100000
Training Epoch: 6 [30464/46250]	Loss: 0.1149	LR: 0.100000
Training Epoch: 6 [30720/46250]	Loss: 0.1748	LR: 0.100000
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Training Epoch: 6 [35328/46250]	Loss: 0.1367	LR: 0.100000
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Training Epoch: 6 [36352/46250]	Loss: 0.1544	LR: 0.100000
Training Epoch: 6 [36608/46250]	Loss: 0.1921	LR: 0.100000
Training Epoch: 6 [36864/46250]	Loss: 0.1595	LR: 0.100000
Training Epoch: 6 [37120/46250]	Loss: 0.3475	LR: 0.100000
Training Epoch: 6 [37376/46250]	Loss: 0.2620	LR: 0.100000
Training Epoch: 6 [37632/46250]	Loss: 0.2376	LR: 0.100000
Training Epoch: 6 [37888/46250]	Loss: 0.2321	LR: 0.100000
Training Epoch: 6 [38144/46250]	Loss: 0.1795	LR: 0.100000
Training Epoch: 6 [38400/46250]	Loss: 0.2428	LR: 0.100000
Training Epoch: 6 [38656/46250]	Loss: 0.2137	LR: 0.100000
Training Epoch: 6 [38912/46250]	Loss: 0.1635	LR: 0.100000
Training Epoch: 6 [39168/46250]	Loss: 0.2011	LR: 0.100000
Training Epoch: 6 [39424/46250]	Loss: 0.1945	LR: 0.100000
Training Epoch: 6 [39680/46250]	Loss: 0.1556	LR: 0.100000
Training Epoch: 6 [39936/46250]	Loss: 0.2121	LR: 0.100000
Training Epoch: 6 [40192/46250]	Loss: 0.1609	LR: 0.100000
Training Epoch: 6 [40448/46250]	Loss: 0.1364	LR: 0.100000
Training Epoch: 6 [40704/46250]	Loss: 0.1711	LR: 0.100000
Training Epoch: 6 [40960/46250]	Loss: 0.1573	LR: 0.100000
Training Epoch: 6 [41216/46250]	Loss: 0.2178	LR: 0.100000
Training Epoch: 6 [41472/46250]	Loss: 0.1640	LR: 0.100000
Training Epoch: 6 [41728/46250]	Loss: 0.2434	LR: 0.100000
Training Epoch: 6 [41984/46250]	Loss: 0.1338	LR: 0.100000
Training Epoch: 6 [42240/46250]	Loss: 0.2077	LR: 0.100000
Training Epoch: 6 [42496/46250]	Loss: 0.3313	LR: 0.100000
Training Epoch: 6 [42752/46250]	Loss: 0.1287	LR: 0.100000
Training Epoch: 6 [43008/46250]	Loss: 0.2108	LR: 0.100000
Training Epoch: 6 [43264/46250]	Loss: 0.2173	LR: 0.100000
Training Epoch: 6 [43520/46250]	Loss: 0.1774	LR: 0.100000
Training Epoch: 6 [43776/46250]	Loss: 0.2134	LR: 0.100000
Training Epoch: 6 [44032/46250]	Loss: 0.2075	LR: 0.100000
Training Epoch: 6 [44288/46250]	Loss: 0.2162	LR: 0.100000
Training Epoch: 6 [44544/46250]	Loss: 0.2326	LR: 0.100000
Training Epoch: 6 [44800/46250]	Loss: 0.1303	LR: 0.100000
Training Epoch: 6 [45056/46250]	Loss: 0.1666	LR: 0.100000
Training Epoch: 6 [45312/46250]	Loss: 0.1992	LR: 0.100000
Training Epoch: 6 [45568/46250]	Loss: 0.2108	LR: 0.100000
Training Epoch: 6 [45824/46250]	Loss: 0.1612	LR: 0.100000
Training Epoch: 6 [46080/46250]	Loss: 0.1558	LR: 0.100000
Training Epoch: 6 [46250/46250]	Loss: 0.0825	LR: 0.100000
Epoch 6 - Average Train Loss: 0.1799, Train Accuracy: 0.9380
Epoch 6 training time consumed: 335.80s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0007, Accuracy: 0.9370, Time consumed:23.65s
Training Epoch: 7 [256/46250]	Loss: 0.1517	LR: 0.020000
Training Epoch: 7 [512/46250]	Loss: 0.2145	LR: 0.020000
Training Epoch: 7 [768/46250]	Loss: 0.0858	LR: 0.020000
Training Epoch: 7 [1024/46250]	Loss: 0.1725	LR: 0.020000
Training Epoch: 7 [1280/46250]	Loss: 0.0845	LR: 0.020000
Training Epoch: 7 [1536/46250]	Loss: 0.1260	LR: 0.020000
Training Epoch: 7 [1792/46250]	Loss: 0.0997	LR: 0.020000
Training Epoch: 7 [2048/46250]	Loss: 0.0958	LR: 0.020000
Training Epoch: 7 [2304/46250]	Loss: 0.0669	LR: 0.020000
Training Epoch: 7 [2560/46250]	Loss: 0.1161	LR: 0.020000
Training Epoch: 7 [2816/46250]	Loss: 0.1108	LR: 0.020000
Training Epoch: 7 [3072/46250]	Loss: 0.0611	LR: 0.020000
Training Epoch: 7 [3328/46250]	Loss: 0.0848	LR: 0.020000
Training Epoch: 7 [3584/46250]	Loss: 0.1090	LR: 0.020000
Training Epoch: 7 [3840/46250]	Loss: 0.1027	LR: 0.020000
Training Epoch: 7 [4096/46250]	Loss: 0.0568	LR: 0.020000
Training Epoch: 7 [4352/46250]	Loss: 0.0543	LR: 0.020000
Training Epoch: 7 [4608/46250]	Loss: 0.0370	LR: 0.020000
Training Epoch: 7 [4864/46250]	Loss: 0.0674	LR: 0.020000
Training Epoch: 7 [5120/46250]	Loss: 0.0925	LR: 0.020000
Training Epoch: 7 [5376/46250]	Loss: 0.0902	LR: 0.020000
Training Epoch: 7 [5632/46250]	Loss: 0.0513	LR: 0.020000
Training Epoch: 7 [5888/46250]	Loss: 0.0586	LR: 0.020000
Training Epoch: 7 [6144/46250]	Loss: 0.0389	LR: 0.020000
Training Epoch: 7 [6400/46250]	Loss: 0.0521	LR: 0.020000
Training Epoch: 7 [6656/46250]	Loss: 0.0812	LR: 0.020000
Training Epoch: 7 [6912/46250]	Loss: 0.0763	LR: 0.020000
Training Epoch: 7 [7168/46250]	Loss: 0.0705	LR: 0.020000
Training Epoch: 7 [7424/46250]	Loss: 0.0608	LR: 0.020000
Training Epoch: 7 [7680/46250]	Loss: 0.0453	LR: 0.020000
Training Epoch: 7 [7936/46250]	Loss: 0.0309	LR: 0.020000
Training Epoch: 7 [8192/46250]	Loss: 0.0990	LR: 0.020000
Training Epoch: 7 [8448/46250]	Loss: 0.0602	LR: 0.020000
Training Epoch: 7 [8704/46250]	Loss: 0.0544	LR: 0.020000
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Training Epoch: 7 [9984/46250]	Loss: 0.0401	LR: 0.020000
Training Epoch: 7 [10240/46250]	Loss: 0.0621	LR: 0.020000
Training Epoch: 7 [10496/46250]	Loss: 0.0731	LR: 0.020000
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Training Epoch: 7 [11008/46250]	Loss: 0.0513	LR: 0.020000
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Training Epoch: 7 [11520/46250]	Loss: 0.0523	LR: 0.020000
Training Epoch: 7 [11776/46250]	Loss: 0.0813	LR: 0.020000
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Training Epoch: 7 [12288/46250]	Loss: 0.0560	LR: 0.020000
Training Epoch: 7 [12544/46250]	Loss: 0.0869	LR: 0.020000
Training Epoch: 7 [12800/46250]	Loss: 0.0848	LR: 0.020000
Training Epoch: 7 [13056/46250]	Loss: 0.0446	LR: 0.020000
Training Epoch: 7 [13312/46250]	Loss: 0.1047	LR: 0.020000
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Training Epoch: 7 [15872/46250]	Loss: 0.0752	LR: 0.020000
Training Epoch: 7 [16128/46250]	Loss: 0.0300	LR: 0.020000
Training Epoch: 7 [16384/46250]	Loss: 0.0455	LR: 0.020000
Training Epoch: 7 [16640/46250]	Loss: 0.0601	LR: 0.020000
Training Epoch: 7 [16896/46250]	Loss: 0.0430	LR: 0.020000
Training Epoch: 7 [17152/46250]	Loss: 0.0417	LR: 0.020000
Training Epoch: 7 [17408/46250]	Loss: 0.0705	LR: 0.020000
Training Epoch: 7 [17664/46250]	Loss: 0.0431	LR: 0.020000
Training Epoch: 7 [17920/46250]	Loss: 0.0381	LR: 0.020000
Training Epoch: 7 [18176/46250]	Loss: 0.0528	LR: 0.020000
Training Epoch: 7 [18432/46250]	Loss: 0.0471	LR: 0.020000
Training Epoch: 7 [18688/46250]	Loss: 0.0750	LR: 0.020000
Training Epoch: 7 [18944/46250]	Loss: 0.0437	LR: 0.020000
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Training Epoch: 7 [43520/46250]	Loss: 0.0447	LR: 0.020000
Training Epoch: 7 [43776/46250]	Loss: 0.0342	LR: 0.020000
Training Epoch: 7 [44032/46250]	Loss: 0.0388	LR: 0.020000
Training Epoch: 7 [44288/46250]	Loss: 0.0843	LR: 0.020000
Training Epoch: 7 [44544/46250]	Loss: 0.0369	LR: 0.020000
Training Epoch: 7 [44800/46250]	Loss: 0.0146	LR: 0.020000
Training Epoch: 7 [45056/46250]	Loss: 0.0380	LR: 0.020000
Training Epoch: 7 [45312/46250]	Loss: 0.0429	LR: 0.020000
Training Epoch: 7 [45568/46250]	Loss: 0.0631	LR: 0.020000
Training Epoch: 7 [45824/46250]	Loss: 0.0413	LR: 0.020000
Training Epoch: 7 [46080/46250]	Loss: 0.0370	LR: 0.020000
Training Epoch: 7 [46250/46250]	Loss: 0.0348	LR: 0.020000
Epoch 7 - Average Train Loss: 0.0571, Train Accuracy: 0.9798
Epoch 7 training time consumed: 335.41s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0003, Accuracy: 0.9743, Time consumed:23.64s
Saving weights file to checkpoint/retrain/ViT/Friday_18_July_2025_01h_37m_25s/ViT-Cifar10-seed6-ret25-7-best.pth
Training Epoch: 8 [256/46250]	Loss: 0.0390	LR: 0.020000
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Training Epoch: 8 [768/46250]	Loss: 0.0239	LR: 0.020000
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Training Epoch: 8 [37888/46250]	Loss: 0.0376	LR: 0.020000
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Training Epoch: 8 [45568/46250]	Loss: 0.0455	LR: 0.020000
Training Epoch: 8 [45824/46250]	Loss: 0.0180	LR: 0.020000
Training Epoch: 8 [46080/46250]	Loss: 0.0296	LR: 0.020000
Training Epoch: 8 [46250/46250]	Loss: 0.0302	LR: 0.020000
Epoch 8 - Average Train Loss: 0.0401, Train Accuracy: 0.9863
Epoch 8 training time consumed: 334.93s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0004, Accuracy: 0.9705, Time consumed:23.64s
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: 97.119140625
Retain Accuracy: 98.60150146484375
Zero-Retain Forget (ZRF): 0.7635006904602051
Membership Inference Attack (MIA): 0.8282666666666667
Forget vs Retain Membership Inference Attack (MIA): 0.5186666666666667
Forget vs Test Membership Inference Attack (MIA): 0.528
Test vs Retain Membership Inference Attack (MIA): 0.49525
Train vs Test Membership Inference Attack (MIA): 0.506
Forget Set Accuracy (Df): 95.78878784179688
Method Execution Time: 5337.19 seconds
