hello
hello

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

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

📊 Updated class distribution:
Retain set:
  Class 0: 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: 2.5129	LR: 0.000000
Training Epoch: 1 [512/46250]	Loss: 2.4665	LR: 0.000552
Training Epoch: 1 [768/46250]	Loss: 2.5096	LR: 0.001105
Training Epoch: 1 [1024/46250]	Loss: 2.4718	LR: 0.001657
Training Epoch: 1 [1280/46250]	Loss: 2.3974	LR: 0.002210
Training Epoch: 1 [1536/46250]	Loss: 2.2742	LR: 0.002762
Training Epoch: 1 [1792/46250]	Loss: 2.1337	LR: 0.003315
Training Epoch: 1 [2048/46250]	Loss: 1.9145	LR: 0.003867
Training Epoch: 1 [2304/46250]	Loss: 1.7441	LR: 0.004420
Training Epoch: 1 [2560/46250]	Loss: 1.5467	LR: 0.004972
Training Epoch: 1 [2816/46250]	Loss: 1.3853	LR: 0.005525
Training Epoch: 1 [3072/46250]	Loss: 1.0936	LR: 0.006077
Training Epoch: 1 [3328/46250]	Loss: 0.8542	LR: 0.006630
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Training Epoch: 1 [4352/46250]	Loss: 0.3742	LR: 0.008840
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Training Epoch: 1 [4864/46250]	Loss: 0.2700	LR: 0.009945
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Training Epoch: 1 [5888/46250]	Loss: 0.2408	LR: 0.012155
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Training Epoch: 1 [8448/46250]	Loss: 0.1819	LR: 0.017680
Training Epoch: 1 [8704/46250]	Loss: 0.2661	LR: 0.018232
Training Epoch: 1 [8960/46250]	Loss: 0.3556	LR: 0.018785
Training Epoch: 1 [9216/46250]	Loss: 0.1599	LR: 0.019337
Training Epoch: 1 [9472/46250]	Loss: 0.2152	LR: 0.019890
Training Epoch: 1 [9728/46250]	Loss: 0.1779	LR: 0.020442
Training Epoch: 1 [9984/46250]	Loss: 0.1313	LR: 0.020994
Training Epoch: 1 [10240/46250]	Loss: 0.4084	LR: 0.021547
Training Epoch: 1 [10496/46250]	Loss: 0.2721	LR: 0.022099
Training Epoch: 1 [10752/46250]	Loss: 0.2438	LR: 0.022652
Training Epoch: 1 [11008/46250]	Loss: 0.2484	LR: 0.023204
Training Epoch: 1 [11264/46250]	Loss: 0.1652	LR: 0.023757
Training Epoch: 1 [11520/46250]	Loss: 0.1323	LR: 0.024309
Training Epoch: 1 [11776/46250]	Loss: 0.3027	LR: 0.024862
Training Epoch: 1 [12032/46250]	Loss: 0.2076	LR: 0.025414
Training Epoch: 1 [12288/46250]	Loss: 0.2346	LR: 0.025967
Training Epoch: 1 [12544/46250]	Loss: 0.2503	LR: 0.026519
Training Epoch: 1 [12800/46250]	Loss: 0.2984	LR: 0.027072
Training Epoch: 1 [13056/46250]	Loss: 0.2337	LR: 0.027624
Training Epoch: 1 [13312/46250]	Loss: 0.2409	LR: 0.028177
Training Epoch: 1 [13568/46250]	Loss: 0.4414	LR: 0.028729
Training Epoch: 1 [13824/46250]	Loss: 0.2574	LR: 0.029282
Training Epoch: 1 [14080/46250]	Loss: 0.3739	LR: 0.029834
Training Epoch: 1 [14336/46250]	Loss: 0.3203	LR: 0.030387
Training Epoch: 1 [14592/46250]	Loss: 0.2472	LR: 0.030939
Training Epoch: 1 [14848/46250]	Loss: 0.3475	LR: 0.031492
Training Epoch: 1 [15104/46250]	Loss: 0.4096	LR: 0.032044
Training Epoch: 1 [15360/46250]	Loss: 0.1937	LR: 0.032597
Training Epoch: 1 [15616/46250]	Loss: 0.3840	LR: 0.033149
Training Epoch: 1 [15872/46250]	Loss: 0.5369	LR: 0.033702
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Training Epoch: 1 [16384/46250]	Loss: 0.4128	LR: 0.034807
Training Epoch: 1 [16640/46250]	Loss: 0.3982	LR: 0.035359
Training Epoch: 1 [16896/46250]	Loss: 0.2420	LR: 0.035912
Training Epoch: 1 [17152/46250]	Loss: 0.2873	LR: 0.036464
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Training Epoch: 1 [17664/46250]	Loss: 0.3294	LR: 0.037569
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Training Epoch: 1 [18944/46250]	Loss: 0.4337	LR: 0.040331
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Training Epoch: 1 [19456/46250]	Loss: 0.2183	LR: 0.041436
Training Epoch: 1 [19712/46250]	Loss: 0.2732	LR: 0.041989
Training Epoch: 1 [19968/46250]	Loss: 0.2594	LR: 0.042541
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Training Epoch: 1 [20480/46250]	Loss: 0.2621	LR: 0.043646
Training Epoch: 1 [20736/46250]	Loss: 0.3024	LR: 0.044199
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Training Epoch: 1 [21248/46250]	Loss: 0.3627	LR: 0.045304
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Training Epoch: 1 [21760/46250]	Loss: 0.2762	LR: 0.046409
Training Epoch: 1 [22016/46250]	Loss: 0.3033	LR: 0.046961
Training Epoch: 1 [22272/46250]	Loss: 0.3264	LR: 0.047514
Training Epoch: 1 [22528/46250]	Loss: 0.1997	LR: 0.048066
Training Epoch: 1 [22784/46250]	Loss: 0.1638	LR: 0.048619
Training Epoch: 1 [23040/46250]	Loss: 0.4861	LR: 0.049171
Training Epoch: 1 [23296/46250]	Loss: 0.2650	LR: 0.049724
Training Epoch: 1 [23552/46250]	Loss: 0.1796	LR: 0.050276
Training Epoch: 1 [23808/46250]	Loss: 0.2231	LR: 0.050829
Training Epoch: 1 [24064/46250]	Loss: 0.1549	LR: 0.051381
Training Epoch: 1 [24320/46250]	Loss: 0.2271	LR: 0.051934
Training Epoch: 1 [24576/46250]	Loss: 0.2333	LR: 0.052486
Training Epoch: 1 [24832/46250]	Loss: 0.1714	LR: 0.053039
Training Epoch: 1 [25088/46250]	Loss: 0.2482	LR: 0.053591
Training Epoch: 1 [25344/46250]	Loss: 0.3016	LR: 0.054144
Training Epoch: 1 [25600/46250]	Loss: 0.3374	LR: 0.054696
Training Epoch: 1 [25856/46250]	Loss: 0.1603	LR: 0.055249
Training Epoch: 1 [26112/46250]	Loss: 0.2691	LR: 0.055801
Training Epoch: 1 [26368/46250]	Loss: 0.2677	LR: 0.056354
Training Epoch: 1 [26624/46250]	Loss: 0.2022	LR: 0.056906
Training Epoch: 1 [26880/46250]	Loss: 0.3038	LR: 0.057459
Training Epoch: 1 [27136/46250]	Loss: 0.2818	LR: 0.058011
Training Epoch: 1 [27392/46250]	Loss: 0.1974	LR: 0.058564
Training Epoch: 1 [27648/46250]	Loss: 0.1949	LR: 0.059116
Training Epoch: 1 [27904/46250]	Loss: 0.2104	LR: 0.059669
Training Epoch: 1 [28160/46250]	Loss: 0.2102	LR: 0.060221
Training Epoch: 1 [28416/46250]	Loss: 0.2871	LR: 0.060773
Training Epoch: 1 [28672/46250]	Loss: 0.2159	LR: 0.061326
Training Epoch: 1 [28928/46250]	Loss: 0.2881	LR: 0.061878
Training Epoch: 1 [29184/46250]	Loss: 0.1268	LR: 0.062431
Training Epoch: 1 [29440/46250]	Loss: 0.3460	LR: 0.062983
Training Epoch: 1 [29696/46250]	Loss: 0.3405	LR: 0.063536
Training Epoch: 1 [29952/46250]	Loss: 0.4089	LR: 0.064088
Training Epoch: 1 [30208/46250]	Loss: 0.2842	LR: 0.064641
Training Epoch: 1 [30464/46250]	Loss: 0.2621	LR: 0.065193
Training Epoch: 1 [30720/46250]	Loss: 0.3387	LR: 0.065746
Training Epoch: 1 [30976/46250]	Loss: 0.2689	LR: 0.066298
Training Epoch: 1 [31232/46250]	Loss: 0.2578	LR: 0.066851
Training Epoch: 1 [31488/46250]	Loss: 0.2714	LR: 0.067403
Training Epoch: 1 [31744/46250]	Loss: 0.1783	LR: 0.067956
Training Epoch: 1 [32000/46250]	Loss: 0.2790	LR: 0.068508
Training Epoch: 1 [32256/46250]	Loss: 0.2638	LR: 0.069061
Training Epoch: 1 [32512/46250]	Loss: 0.4057	LR: 0.069613
Training Epoch: 1 [32768/46250]	Loss: 0.2745	LR: 0.070166
Training Epoch: 1 [33024/46250]	Loss: 0.1987	LR: 0.070718
Training Epoch: 1 [33280/46250]	Loss: 0.1625	LR: 0.071271
Training Epoch: 1 [33536/46250]	Loss: 0.1619	LR: 0.071823
Training Epoch: 1 [33792/46250]	Loss: 0.3586	LR: 0.072376
Training Epoch: 1 [34048/46250]	Loss: 0.1746	LR: 0.072928
Training Epoch: 1 [34304/46250]	Loss: 0.3170	LR: 0.073481
Training Epoch: 1 [34560/46250]	Loss: 0.1750	LR: 0.074033
Training Epoch: 1 [34816/46250]	Loss: 0.2952	LR: 0.074586
Training Epoch: 1 [35072/46250]	Loss: 0.2818	LR: 0.075138
Training Epoch: 1 [35328/46250]	Loss: 0.2552	LR: 0.075691
Training Epoch: 1 [35584/46250]	Loss: 0.2012	LR: 0.076243
Training Epoch: 1 [35840/46250]	Loss: 0.2279	LR: 0.076796
Training Epoch: 1 [36096/46250]	Loss: 0.2578	LR: 0.077348
Training Epoch: 1 [36352/46250]	Loss: 0.2256	LR: 0.077901
Training Epoch: 1 [36608/46250]	Loss: 0.2065	LR: 0.078453
Training Epoch: 1 [36864/46250]	Loss: 0.2854	LR: 0.079006
Training Epoch: 1 [37120/46250]	Loss: 0.2774	LR: 0.079558
Training Epoch: 1 [37376/46250]	Loss: 0.1674	LR: 0.080110
Training Epoch: 1 [37632/46250]	Loss: 0.2915	LR: 0.080663
Training Epoch: 1 [37888/46250]	Loss: 0.2218	LR: 0.081215
Training Epoch: 1 [38144/46250]	Loss: 0.3077	LR: 0.081768
Training Epoch: 1 [38400/46250]	Loss: 0.2218	LR: 0.082320
Training Epoch: 1 [38656/46250]	Loss: 0.1427	LR: 0.082873
Training Epoch: 1 [38912/46250]	Loss: 0.2409	LR: 0.083425
Training Epoch: 1 [39168/46250]	Loss: 0.2310	LR: 0.083978
Training Epoch: 1 [39424/46250]	Loss: 0.2122	LR: 0.084530
Training Epoch: 1 [39680/46250]	Loss: 0.2012	LR: 0.085083
Training Epoch: 1 [39936/46250]	Loss: 0.2214	LR: 0.085635
Training Epoch: 1 [40192/46250]	Loss: 0.2307	LR: 0.086188
Training Epoch: 1 [40448/46250]	Loss: 0.2541	LR: 0.086740
Training Epoch: 1 [40704/46250]	Loss: 0.2441	LR: 0.087293
Training Epoch: 1 [40960/46250]	Loss: 0.2083	LR: 0.087845
Training Epoch: 1 [41216/46250]	Loss: 0.1933	LR: 0.088398
Training Epoch: 1 [41472/46250]	Loss: 0.2799	LR: 0.088950
Training Epoch: 1 [41728/46250]	Loss: 0.3032	LR: 0.089503
Training Epoch: 1 [41984/46250]	Loss: 0.1634	LR: 0.090055
Training Epoch: 1 [42240/46250]	Loss: 0.2067	LR: 0.090608
Training Epoch: 1 [42496/46250]	Loss: 0.1403	LR: 0.091160
Training Epoch: 1 [42752/46250]	Loss: 0.3307	LR: 0.091713
Training Epoch: 1 [43008/46250]	Loss: 0.1901	LR: 0.092265
Training Epoch: 1 [43264/46250]	Loss: 0.2305	LR: 0.092818
Training Epoch: 1 [43520/46250]	Loss: 0.3191	LR: 0.093370
Training Epoch: 1 [43776/46250]	Loss: 0.2708	LR: 0.093923
Training Epoch: 1 [44032/46250]	Loss: 0.2273	LR: 0.094475
Training Epoch: 1 [44288/46250]	Loss: 0.2197	LR: 0.095028
Training Epoch: 1 [44544/46250]	Loss: 0.3401	LR: 0.095580
Training Epoch: 1 [44800/46250]	Loss: 0.2166	LR: 0.096133
Training Epoch: 1 [45056/46250]	Loss: 0.2697	LR: 0.096685
Training Epoch: 1 [45312/46250]	Loss: 0.1602	LR: 0.097238
Training Epoch: 1 [45568/46250]	Loss: 0.3092	LR: 0.097790
Training Epoch: 1 [45824/46250]	Loss: 0.3809	LR: 0.098343
Training Epoch: 1 [46080/46250]	Loss: 0.2677	LR: 0.098895
Training Epoch: 1 [46250/46250]	Loss: 0.2812	LR: 0.099448
Epoch 1 - Average Train Loss: 0.3872, Train Accuracy: 0.8733
Epoch 1 training time consumed: 334.87s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0010, Accuracy: 0.9205, Time consumed:23.54s
Saving weights file to checkpoint/retrain/ViT/Thursday_17_July_2025_21h_12m_33s/ViT-Cifar10-seed3-ret25-1-best.pth
Training Epoch: 2 [256/46250]	Loss: 0.2873	LR: 0.100000
Training Epoch: 2 [512/46250]	Loss: 0.3765	LR: 0.100000
Training Epoch: 2 [768/46250]	Loss: 0.3224	LR: 0.100000
Training Epoch: 2 [1024/46250]	Loss: 0.1863	LR: 0.100000
Training Epoch: 2 [1280/46250]	Loss: 0.2729	LR: 0.100000
Training Epoch: 2 [1536/46250]	Loss: 0.2398	LR: 0.100000
Training Epoch: 2 [1792/46250]	Loss: 0.2450	LR: 0.100000
Training Epoch: 2 [2048/46250]	Loss: 0.3156	LR: 0.100000
Training Epoch: 2 [2304/46250]	Loss: 0.2977	LR: 0.100000
Training Epoch: 2 [2560/46250]	Loss: 0.1922	LR: 0.100000
Training Epoch: 2 [2816/46250]	Loss: 0.3234	LR: 0.100000
Training Epoch: 2 [3072/46250]	Loss: 0.4225	LR: 0.100000
Training Epoch: 2 [3328/46250]	Loss: 0.2365	LR: 0.100000
Training Epoch: 2 [3584/46250]	Loss: 0.2688	LR: 0.100000
Training Epoch: 2 [3840/46250]	Loss: 0.1948	LR: 0.100000
Training Epoch: 2 [4096/46250]	Loss: 0.3624	LR: 0.100000
Training Epoch: 2 [4352/46250]	Loss: 0.1806	LR: 0.100000
Training Epoch: 2 [4608/46250]	Loss: 0.2534	LR: 0.100000
Training Epoch: 2 [4864/46250]	Loss: 0.3250	LR: 0.100000
Training Epoch: 2 [5120/46250]	Loss: 0.1746	LR: 0.100000
Training Epoch: 2 [5376/46250]	Loss: 0.2298	LR: 0.100000
Training Epoch: 2 [5632/46250]	Loss: 0.3211	LR: 0.100000
Training Epoch: 2 [5888/46250]	Loss: 0.1942	LR: 0.100000
Training Epoch: 2 [6144/46250]	Loss: 0.2827	LR: 0.100000
Training Epoch: 2 [6400/46250]	Loss: 0.2479	LR: 0.100000
Training Epoch: 2 [6656/46250]	Loss: 0.3729	LR: 0.100000
Training Epoch: 2 [6912/46250]	Loss: 0.2489	LR: 0.100000
Training Epoch: 2 [7168/46250]	Loss: 0.2392	LR: 0.100000
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Training Epoch: 2 [8192/46250]	Loss: 0.3363	LR: 0.100000
Training Epoch: 2 [8448/46250]	Loss: 0.1958	LR: 0.100000
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Training Epoch: 2 [10496/46250]	Loss: 0.1350	LR: 0.100000
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Training Epoch: 2 [13568/46250]	Loss: 0.2984	LR: 0.100000
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Training Epoch: 2 [14592/46250]	Loss: 0.3973	LR: 0.100000
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Training Epoch: 2 [15104/46250]	Loss: 0.2462	LR: 0.100000
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Training Epoch: 2 [46250/46250]	Loss: 0.1936	LR: 0.100000
Epoch 2 - Average Train Loss: 0.2364, Train Accuracy: 0.9214
Epoch 2 training time consumed: 334.33s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0004, Accuracy: 0.9634, Time consumed:23.53s
Saving weights file to checkpoint/retrain/ViT/Thursday_17_July_2025_21h_12m_33s/ViT-Cifar10-seed3-ret25-2-best.pth
Training Epoch: 3 [256/46250]	Loss: 0.1494	LR: 0.100000
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Training Epoch: 3 [46250/46250]	Loss: 0.2131	LR: 0.100000
Epoch 3 - Average Train Loss: 0.1547, Train Accuracy: 0.9475
Epoch 3 training time consumed: 334.25s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0005, Accuracy: 0.9598, Time consumed:23.54s
Training Epoch: 4 [256/46250]	Loss: 0.1340	LR: 0.100000
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Training Epoch: 4 [6656/46250]	Loss: 0.0862	LR: 0.100000
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Training Epoch: 4 [11008/46250]	Loss: 0.1801	LR: 0.100000
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Training Epoch: 4 [12288/46250]	Loss: 0.1399	LR: 0.100000
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Training Epoch: 4 [12800/46250]	Loss: 0.0826	LR: 0.100000
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Training Epoch: 4 [16896/46250]	Loss: 0.1118	LR: 0.100000
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Training Epoch: 4 [17664/46250]	Loss: 0.1946	LR: 0.100000
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Training Epoch: 4 [18176/46250]	Loss: 0.1409	LR: 0.100000
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Training Epoch: 4 [18944/46250]	Loss: 0.0977	LR: 0.100000
Training Epoch: 4 [19200/46250]	Loss: 0.1448	LR: 0.100000
Training Epoch: 4 [19456/46250]	Loss: 0.1703	LR: 0.100000
Training Epoch: 4 [19712/46250]	Loss: 0.0951	LR: 0.100000
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Training Epoch: 4 [20224/46250]	Loss: 0.1883	LR: 0.100000
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Training Epoch: 4 [20736/46250]	Loss: 0.1770	LR: 0.100000
Training Epoch: 4 [20992/46250]	Loss: 0.1297	LR: 0.100000
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Training Epoch: 4 [22016/46250]	Loss: 0.1822	LR: 0.100000
Training Epoch: 4 [22272/46250]	Loss: 0.1056	LR: 0.100000
Training Epoch: 4 [22528/46250]	Loss: 0.2607	LR: 0.100000
Training Epoch: 4 [22784/46250]	Loss: 0.1619	LR: 0.100000
Training Epoch: 4 [23040/46250]	Loss: 0.2108	LR: 0.100000
Training Epoch: 4 [23296/46250]	Loss: 0.1939	LR: 0.100000
Training Epoch: 4 [23552/46250]	Loss: 0.1560	LR: 0.100000
Training Epoch: 4 [23808/46250]	Loss: 0.1387	LR: 0.100000
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Training Epoch: 4 [24320/46250]	Loss: 0.1774	LR: 0.100000
Training Epoch: 4 [24576/46250]	Loss: 0.1193	LR: 0.100000
Training Epoch: 4 [24832/46250]	Loss: 0.0942	LR: 0.100000
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Training Epoch: 4 [25344/46250]	Loss: 0.0951	LR: 0.100000
Training Epoch: 4 [25600/46250]	Loss: 0.1208	LR: 0.100000
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Training Epoch: 4 [26112/46250]	Loss: 0.0815	LR: 0.100000
Training Epoch: 4 [26368/46250]	Loss: 0.1293	LR: 0.100000
Training Epoch: 4 [26624/46250]	Loss: 0.1608	LR: 0.100000
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Training Epoch: 4 [27136/46250]	Loss: 0.0670	LR: 0.100000
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Training Epoch: 4 [27648/46250]	Loss: 0.1755	LR: 0.100000
Training Epoch: 4 [27904/46250]	Loss: 0.1557	LR: 0.100000
Training Epoch: 4 [28160/46250]	Loss: 0.1583	LR: 0.100000
Training Epoch: 4 [28416/46250]	Loss: 0.1513	LR: 0.100000
Training Epoch: 4 [28672/46250]	Loss: 0.2340	LR: 0.100000
Training Epoch: 4 [28928/46250]	Loss: 0.1924	LR: 0.100000
Training Epoch: 4 [29184/46250]	Loss: 0.2402	LR: 0.100000
Training Epoch: 4 [29440/46250]	Loss: 0.1976	LR: 0.100000
Training Epoch: 4 [29696/46250]	Loss: 0.1338	LR: 0.100000
Training Epoch: 4 [29952/46250]	Loss: 0.2420	LR: 0.100000
Training Epoch: 4 [30208/46250]	Loss: 0.2072	LR: 0.100000
Training Epoch: 4 [30464/46250]	Loss: 0.2948	LR: 0.100000
Training Epoch: 4 [30720/46250]	Loss: 0.2078	LR: 0.100000
Training Epoch: 4 [30976/46250]	Loss: 0.2075	LR: 0.100000
Training Epoch: 4 [31232/46250]	Loss: 0.1725	LR: 0.100000
Training Epoch: 4 [31488/46250]	Loss: 0.1314	LR: 0.100000
Training Epoch: 4 [31744/46250]	Loss: 0.1767	LR: 0.100000
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Training Epoch: 4 [32256/46250]	Loss: 0.1862	LR: 0.100000
Training Epoch: 4 [32512/46250]	Loss: 0.2202	LR: 0.100000
Training Epoch: 4 [32768/46250]	Loss: 0.1677	LR: 0.100000
Training Epoch: 4 [33024/46250]	Loss: 0.1575	LR: 0.100000
Training Epoch: 4 [33280/46250]	Loss: 0.2286	LR: 0.100000
Training Epoch: 4 [33536/46250]	Loss: 0.1824	LR: 0.100000
Training Epoch: 4 [33792/46250]	Loss: 0.1864	LR: 0.100000
Training Epoch: 4 [34048/46250]	Loss: 0.1279	LR: 0.100000
Training Epoch: 4 [34304/46250]	Loss: 0.1916	LR: 0.100000
Training Epoch: 4 [34560/46250]	Loss: 0.1509	LR: 0.100000
Training Epoch: 4 [34816/46250]	Loss: 0.2390	LR: 0.100000
Training Epoch: 4 [35072/46250]	Loss: 0.1969	LR: 0.100000
Training Epoch: 4 [35328/46250]	Loss: 0.1826	LR: 0.100000
Training Epoch: 4 [35584/46250]	Loss: 0.0977	LR: 0.100000
Training Epoch: 4 [35840/46250]	Loss: 0.1778	LR: 0.100000
Training Epoch: 4 [36096/46250]	Loss: 0.1735	LR: 0.100000
Training Epoch: 4 [36352/46250]	Loss: 0.1777	LR: 0.100000
Training Epoch: 4 [36608/46250]	Loss: 0.2280	LR: 0.100000
Training Epoch: 4 [36864/46250]	Loss: 0.0855	LR: 0.100000
Training Epoch: 4 [37120/46250]	Loss: 0.1923	LR: 0.100000
Training Epoch: 4 [37376/46250]	Loss: 0.1399	LR: 0.100000
Training Epoch: 4 [37632/46250]	Loss: 0.0685	LR: 0.100000
Training Epoch: 4 [37888/46250]	Loss: 0.1788	LR: 0.100000
Training Epoch: 4 [38144/46250]	Loss: 0.0872	LR: 0.100000
Training Epoch: 4 [38400/46250]	Loss: 0.1449	LR: 0.100000
Training Epoch: 4 [38656/46250]	Loss: 0.1326	LR: 0.100000
Training Epoch: 4 [38912/46250]	Loss: 0.1689	LR: 0.100000
Training Epoch: 4 [39168/46250]	Loss: 0.2084	LR: 0.100000
Training Epoch: 4 [39424/46250]	Loss: 0.1304	LR: 0.100000
Training Epoch: 4 [39680/46250]	Loss: 0.1178	LR: 0.100000
Training Epoch: 4 [39936/46250]	Loss: 0.2214	LR: 0.100000
Training Epoch: 4 [40192/46250]	Loss: 0.2184	LR: 0.100000
Training Epoch: 4 [40448/46250]	Loss: 0.1268	LR: 0.100000
Training Epoch: 4 [40704/46250]	Loss: 0.2529	LR: 0.100000
Training Epoch: 4 [40960/46250]	Loss: 0.2179	LR: 0.100000
Training Epoch: 4 [41216/46250]	Loss: 0.1492	LR: 0.100000
Training Epoch: 4 [41472/46250]	Loss: 0.1159	LR: 0.100000
Training Epoch: 4 [41728/46250]	Loss: 0.1431	LR: 0.100000
Training Epoch: 4 [41984/46250]	Loss: 0.1992	LR: 0.100000
Training Epoch: 4 [42240/46250]	Loss: 0.1031	LR: 0.100000
Training Epoch: 4 [42496/46250]	Loss: 0.1533	LR: 0.100000
Training Epoch: 4 [42752/46250]	Loss: 0.1379	LR: 0.100000
Training Epoch: 4 [43008/46250]	Loss: 0.1255	LR: 0.100000
Training Epoch: 4 [43264/46250]	Loss: 0.1250	LR: 0.100000
Training Epoch: 4 [43520/46250]	Loss: 0.2335	LR: 0.100000
Training Epoch: 4 [43776/46250]	Loss: 0.1321	LR: 0.100000
Training Epoch: 4 [44032/46250]	Loss: 0.1348	LR: 0.100000
Training Epoch: 4 [44288/46250]	Loss: 0.1720	LR: 0.100000
Training Epoch: 4 [44544/46250]	Loss: 0.1724	LR: 0.100000
Training Epoch: 4 [44800/46250]	Loss: 0.1691	LR: 0.100000
Training Epoch: 4 [45056/46250]	Loss: 0.1246	LR: 0.100000
Training Epoch: 4 [45312/46250]	Loss: 0.1954	LR: 0.100000
Training Epoch: 4 [45568/46250]	Loss: 0.1837	LR: 0.100000
Training Epoch: 4 [45824/46250]	Loss: 0.1416	LR: 0.100000
Training Epoch: 4 [46080/46250]	Loss: 0.1166	LR: 0.100000
Training Epoch: 4 [46250/46250]	Loss: 0.1647	LR: 0.100000
Epoch 4 - Average Train Loss: 0.1517, Train Accuracy: 0.9478
Epoch 4 training time consumed: 334.28s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0005, Accuracy: 0.9600, Time consumed:23.52s
Training Epoch: 5 [256/46250]	Loss: 0.1880	LR: 0.100000
Training Epoch: 5 [512/46250]	Loss: 0.1080	LR: 0.100000
Training Epoch: 5 [768/46250]	Loss: 0.1375	LR: 0.100000
Training Epoch: 5 [1024/46250]	Loss: 0.2228	LR: 0.100000
Training Epoch: 5 [1280/46250]	Loss: 0.1023	LR: 0.100000
Training Epoch: 5 [1536/46250]	Loss: 0.1098	LR: 0.100000
Training Epoch: 5 [1792/46250]	Loss: 0.0681	LR: 0.100000
Training Epoch: 5 [2048/46250]	Loss: 0.2283	LR: 0.100000
Training Epoch: 5 [2304/46250]	Loss: 0.1242	LR: 0.100000
Training Epoch: 5 [2560/46250]	Loss: 0.0812	LR: 0.100000
Training Epoch: 5 [2816/46250]	Loss: 0.1088	LR: 0.100000
Training Epoch: 5 [3072/46250]	Loss: 0.1443	LR: 0.100000
Training Epoch: 5 [3328/46250]	Loss: 0.1161	LR: 0.100000
Training Epoch: 5 [3584/46250]	Loss: 0.1587	LR: 0.100000
Training Epoch: 5 [3840/46250]	Loss: 0.1649	LR: 0.100000
Training Epoch: 5 [4096/46250]	Loss: 0.2041	LR: 0.100000
Training Epoch: 5 [4352/46250]	Loss: 0.0816	LR: 0.100000
Training Epoch: 5 [4608/46250]	Loss: 0.1871	LR: 0.100000
Training Epoch: 5 [4864/46250]	Loss: 0.1583	LR: 0.100000
Training Epoch: 5 [5120/46250]	Loss: 0.1718	LR: 0.100000
Training Epoch: 5 [5376/46250]	Loss: 0.1563	LR: 0.100000
Training Epoch: 5 [5632/46250]	Loss: 0.1131	LR: 0.100000
Training Epoch: 5 [5888/46250]	Loss: 0.1572	LR: 0.100000
Training Epoch: 5 [6144/46250]	Loss: 0.1437	LR: 0.100000
Training Epoch: 5 [6400/46250]	Loss: 0.1614	LR: 0.100000
Training Epoch: 5 [6656/46250]	Loss: 0.1001	LR: 0.100000
Training Epoch: 5 [6912/46250]	Loss: 0.2021	LR: 0.100000
Training Epoch: 5 [7168/46250]	Loss: 0.2143	LR: 0.100000
Training Epoch: 5 [7424/46250]	Loss: 0.1940	LR: 0.100000
Training Epoch: 5 [7680/46250]	Loss: 0.1028	LR: 0.100000
Training Epoch: 5 [7936/46250]	Loss: 0.1293	LR: 0.100000
Training Epoch: 5 [8192/46250]	Loss: 0.2166	LR: 0.100000
Training Epoch: 5 [8448/46250]	Loss: 0.1660	LR: 0.100000
Training Epoch: 5 [8704/46250]	Loss: 0.1228	LR: 0.100000
Training Epoch: 5 [8960/46250]	Loss: 0.1225	LR: 0.100000
Training Epoch: 5 [9216/46250]	Loss: 0.1116	LR: 0.100000
Training Epoch: 5 [9472/46250]	Loss: 0.1869	LR: 0.100000
Training Epoch: 5 [9728/46250]	Loss: 0.1226	LR: 0.100000
Training Epoch: 5 [9984/46250]	Loss: 0.1004	LR: 0.100000
Training Epoch: 5 [10240/46250]	Loss: 0.1514	LR: 0.100000
Training Epoch: 5 [10496/46250]	Loss: 0.1631	LR: 0.100000
Training Epoch: 5 [10752/46250]	Loss: 0.1489	LR: 0.100000
Training Epoch: 5 [11008/46250]	Loss: 0.1584	LR: 0.100000
Training Epoch: 5 [11264/46250]	Loss: 0.1962	LR: 0.100000
Training Epoch: 5 [11520/46250]	Loss: 0.2134	LR: 0.100000
Training Epoch: 5 [11776/46250]	Loss: 0.1304	LR: 0.100000
Training Epoch: 5 [12032/46250]	Loss: 0.1950	LR: 0.100000
Training Epoch: 5 [12288/46250]	Loss: 0.1877	LR: 0.100000
Training Epoch: 5 [12544/46250]	Loss: 0.1157	LR: 0.100000
Training Epoch: 5 [12800/46250]	Loss: 0.2783	LR: 0.100000
Training Epoch: 5 [13056/46250]	Loss: 0.1195	LR: 0.100000
Training Epoch: 5 [13312/46250]	Loss: 0.2670	LR: 0.100000
Training Epoch: 5 [13568/46250]	Loss: 0.1786	LR: 0.100000
Training Epoch: 5 [13824/46250]	Loss: 0.1685	LR: 0.100000
Training Epoch: 5 [14080/46250]	Loss: 0.1744	LR: 0.100000
Training Epoch: 5 [14336/46250]	Loss: 0.1679	LR: 0.100000
Training Epoch: 5 [14592/46250]	Loss: 0.1927	LR: 0.100000
Training Epoch: 5 [14848/46250]	Loss: 0.1652	LR: 0.100000
Training Epoch: 5 [15104/46250]	Loss: 0.1416	LR: 0.100000
Training Epoch: 5 [15360/46250]	Loss: 0.1019	LR: 0.100000
Training Epoch: 5 [15616/46250]	Loss: 0.1492	LR: 0.100000
Training Epoch: 5 [15872/46250]	Loss: 0.0927	LR: 0.100000
Training Epoch: 5 [16128/46250]	Loss: 0.1729	LR: 0.100000
Training Epoch: 5 [16384/46250]	Loss: 0.1031	LR: 0.100000
Training Epoch: 5 [16640/46250]	Loss: 0.1333	LR: 0.100000
Training Epoch: 5 [16896/46250]	Loss: 0.0984	LR: 0.100000
Training Epoch: 5 [17152/46250]	Loss: 0.1057	LR: 0.100000
Training Epoch: 5 [17408/46250]	Loss: 0.1352	LR: 0.100000
Training Epoch: 5 [17664/46250]	Loss: 0.0990	LR: 0.100000
Training Epoch: 5 [17920/46250]	Loss: 0.1528	LR: 0.100000
Training Epoch: 5 [18176/46250]	Loss: 0.1444	LR: 0.100000
Training Epoch: 5 [18432/46250]	Loss: 0.1831	LR: 0.100000
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Training Epoch: 5 [18944/46250]	Loss: 0.1431	LR: 0.100000
Training Epoch: 5 [19200/46250]	Loss: 0.1941	LR: 0.100000
Training Epoch: 5 [19456/46250]	Loss: 0.1876	LR: 0.100000
Training Epoch: 5 [19712/46250]	Loss: 0.1653	LR: 0.100000
Training Epoch: 5 [19968/46250]	Loss: 0.2860	LR: 0.100000
Training Epoch: 5 [20224/46250]	Loss: 0.2439	LR: 0.100000
Training Epoch: 5 [20480/46250]	Loss: 0.1548	LR: 0.100000
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Training Epoch: 5 [21504/46250]	Loss: 0.2573	LR: 0.100000
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Training Epoch: 5 [22016/46250]	Loss: 0.1322	LR: 0.100000
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Training Epoch: 5 [22528/46250]	Loss: 0.1206	LR: 0.100000
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Training Epoch: 5 [23040/46250]	Loss: 0.1711	LR: 0.100000
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Training Epoch: 5 [23808/46250]	Loss: 0.2061	LR: 0.100000
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Training Epoch: 5 [24320/46250]	Loss: 0.1228	LR: 0.100000
Training Epoch: 5 [24576/46250]	Loss: 0.0836	LR: 0.100000
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Training Epoch: 5 [26368/46250]	Loss: 0.1597	LR: 0.100000
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Training Epoch: 5 [29184/46250]	Loss: 0.3474	LR: 0.100000
Training Epoch: 5 [29440/46250]	Loss: 0.1573	LR: 0.100000
Training Epoch: 5 [29696/46250]	Loss: 0.2072	LR: 0.100000
Training Epoch: 5 [29952/46250]	Loss: 0.1632	LR: 0.100000
Training Epoch: 5 [30208/46250]	Loss: 0.1909	LR: 0.100000
Training Epoch: 5 [30464/46250]	Loss: 0.1741	LR: 0.100000
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Training Epoch: 5 [34304/46250]	Loss: 0.1839	LR: 0.100000
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Training Epoch: 5 [35072/46250]	Loss: 0.1431	LR: 0.100000
Training Epoch: 5 [35328/46250]	Loss: 0.2037	LR: 0.100000
Training Epoch: 5 [35584/46250]	Loss: 0.2754	LR: 0.100000
Training Epoch: 5 [35840/46250]	Loss: 0.2126	LR: 0.100000
Training Epoch: 5 [36096/46250]	Loss: 0.2709	LR: 0.100000
Training Epoch: 5 [36352/46250]	Loss: 0.2279	LR: 0.100000
Training Epoch: 5 [36608/46250]	Loss: 0.1271	LR: 0.100000
Training Epoch: 5 [36864/46250]	Loss: 0.2346	LR: 0.100000
Training Epoch: 5 [37120/46250]	Loss: 0.1725	LR: 0.100000
Training Epoch: 5 [37376/46250]	Loss: 0.1558	LR: 0.100000
Training Epoch: 5 [37632/46250]	Loss: 0.1518	LR: 0.100000
Training Epoch: 5 [37888/46250]	Loss: 0.1582	LR: 0.100000
Training Epoch: 5 [38144/46250]	Loss: 0.1072	LR: 0.100000
Training Epoch: 5 [38400/46250]	Loss: 0.1876	LR: 0.100000
Training Epoch: 5 [38656/46250]	Loss: 0.1571	LR: 0.100000
Training Epoch: 5 [38912/46250]	Loss: 0.1719	LR: 0.100000
Training Epoch: 5 [39168/46250]	Loss: 0.1676	LR: 0.100000
Training Epoch: 5 [39424/46250]	Loss: 0.1645	LR: 0.100000
Training Epoch: 5 [39680/46250]	Loss: 0.1199	LR: 0.100000
Training Epoch: 5 [39936/46250]	Loss: 0.1525	LR: 0.100000
Training Epoch: 5 [40192/46250]	Loss: 0.2028	LR: 0.100000
Training Epoch: 5 [40448/46250]	Loss: 0.1876	LR: 0.100000
Training Epoch: 5 [40704/46250]	Loss: 0.1678	LR: 0.100000
Training Epoch: 5 [40960/46250]	Loss: 0.1424	LR: 0.100000
Training Epoch: 5 [41216/46250]	Loss: 0.2426	LR: 0.100000
Training Epoch: 5 [41472/46250]	Loss: 0.1989	LR: 0.100000
Training Epoch: 5 [41728/46250]	Loss: 0.2217	LR: 0.100000
Training Epoch: 5 [41984/46250]	Loss: 0.2329	LR: 0.100000
Training Epoch: 5 [42240/46250]	Loss: 0.2165	LR: 0.100000
Training Epoch: 5 [42496/46250]	Loss: 0.2528	LR: 0.100000
Training Epoch: 5 [42752/46250]	Loss: 0.1698	LR: 0.100000
Training Epoch: 5 [43008/46250]	Loss: 0.2435	LR: 0.100000
Training Epoch: 5 [43264/46250]	Loss: 0.1757	LR: 0.100000
Training Epoch: 5 [43520/46250]	Loss: 0.1465	LR: 0.100000
Training Epoch: 5 [43776/46250]	Loss: 0.2211	LR: 0.100000
Training Epoch: 5 [44032/46250]	Loss: 0.1785	LR: 0.100000
Training Epoch: 5 [44288/46250]	Loss: 0.1072	LR: 0.100000
Training Epoch: 5 [44544/46250]	Loss: 0.2106	LR: 0.100000
Training Epoch: 5 [44800/46250]	Loss: 0.1623	LR: 0.100000
Training Epoch: 5 [45056/46250]	Loss: 0.1538	LR: 0.100000
Training Epoch: 5 [45312/46250]	Loss: 0.1114	LR: 0.100000
Training Epoch: 5 [45568/46250]	Loss: 0.2010	LR: 0.100000
Training Epoch: 5 [45824/46250]	Loss: 0.1092	LR: 0.100000
Training Epoch: 5 [46080/46250]	Loss: 0.1776	LR: 0.100000
Training Epoch: 5 [46250/46250]	Loss: 0.1577	LR: 0.100000
Epoch 5 - Average Train Loss: 0.1642, Train Accuracy: 0.9451
Epoch 5 training time consumed: 334.26s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0007, Accuracy: 0.9435, Time consumed:23.52s
Training Epoch: 6 [256/46250]	Loss: 0.1459	LR: 0.100000
Training Epoch: 6 [512/46250]	Loss: 0.2805	LR: 0.100000
Training Epoch: 6 [768/46250]	Loss: 0.1086	LR: 0.100000
Training Epoch: 6 [1024/46250]	Loss: 0.2266	LR: 0.100000
Training Epoch: 6 [1280/46250]	Loss: 0.1995	LR: 0.100000
Training Epoch: 6 [1536/46250]	Loss: 0.1376	LR: 0.100000
Training Epoch: 6 [1792/46250]	Loss: 0.2622	LR: 0.100000
Training Epoch: 6 [2048/46250]	Loss: 0.1974	LR: 0.100000
Training Epoch: 6 [2304/46250]	Loss: 0.1576	LR: 0.100000
Training Epoch: 6 [2560/46250]	Loss: 0.1568	LR: 0.100000
Training Epoch: 6 [2816/46250]	Loss: 0.1514	LR: 0.100000
Training Epoch: 6 [3072/46250]	Loss: 0.1042	LR: 0.100000
Training Epoch: 6 [3328/46250]	Loss: 0.1686	LR: 0.100000
Training Epoch: 6 [3584/46250]	Loss: 0.1335	LR: 0.100000
Training Epoch: 6 [3840/46250]	Loss: 0.1453	LR: 0.100000
Training Epoch: 6 [4096/46250]	Loss: 0.1693	LR: 0.100000
Training Epoch: 6 [4352/46250]	Loss: 0.0922	LR: 0.100000
Training Epoch: 6 [4608/46250]	Loss: 0.1353	LR: 0.100000
Training Epoch: 6 [4864/46250]	Loss: 0.1358	LR: 0.100000
Training Epoch: 6 [5120/46250]	Loss: 0.1799	LR: 0.100000
Training Epoch: 6 [5376/46250]	Loss: 0.0990	LR: 0.100000
Training Epoch: 6 [5632/46250]	Loss: 0.1557	LR: 0.100000
Training Epoch: 6 [5888/46250]	Loss: 0.1232	LR: 0.100000
Training Epoch: 6 [6144/46250]	Loss: 0.2198	LR: 0.100000
Training Epoch: 6 [6400/46250]	Loss: 0.1223	LR: 0.100000
Training Epoch: 6 [6656/46250]	Loss: 0.1686	LR: 0.100000
Training Epoch: 6 [6912/46250]	Loss: 0.2037	LR: 0.100000
Training Epoch: 6 [7168/46250]	Loss: 0.1498	LR: 0.100000
Training Epoch: 6 [7424/46250]	Loss: 0.1512	LR: 0.100000
Training Epoch: 6 [7680/46250]	Loss: 0.1850	LR: 0.100000
Training Epoch: 6 [7936/46250]	Loss: 0.1796	LR: 0.100000
Training Epoch: 6 [8192/46250]	Loss: 0.1556	LR: 0.100000
Training Epoch: 6 [8448/46250]	Loss: 0.1998	LR: 0.100000
Training Epoch: 6 [8704/46250]	Loss: 0.1148	LR: 0.100000
Training Epoch: 6 [8960/46250]	Loss: 0.1872	LR: 0.100000
Training Epoch: 6 [9216/46250]	Loss: 0.0951	LR: 0.100000
Training Epoch: 6 [9472/46250]	Loss: 0.1786	LR: 0.100000
Training Epoch: 6 [9728/46250]	Loss: 0.1714	LR: 0.100000
Training Epoch: 6 [9984/46250]	Loss: 0.2193	LR: 0.100000
Training Epoch: 6 [10240/46250]	Loss: 0.1898	LR: 0.100000
Training Epoch: 6 [10496/46250]	Loss: 0.1775	LR: 0.100000
Training Epoch: 6 [10752/46250]	Loss: 0.1454	LR: 0.100000
Training Epoch: 6 [11008/46250]	Loss: 0.2007	LR: 0.100000
Training Epoch: 6 [11264/46250]	Loss: 0.2320	LR: 0.100000
Training Epoch: 6 [11520/46250]	Loss: 0.1232	LR: 0.100000
Training Epoch: 6 [11776/46250]	Loss: 0.2160	LR: 0.100000
Training Epoch: 6 [12032/46250]	Loss: 0.1347	LR: 0.100000
Training Epoch: 6 [12288/46250]	Loss: 0.1714	LR: 0.100000
Training Epoch: 6 [12544/46250]	Loss: 0.1891	LR: 0.100000
Training Epoch: 6 [12800/46250]	Loss: 0.1419	LR: 0.100000
Training Epoch: 6 [13056/46250]	Loss: 0.1426	LR: 0.100000
Training Epoch: 6 [13312/46250]	Loss: 0.2232	LR: 0.100000
Training Epoch: 6 [13568/46250]	Loss: 0.1871	LR: 0.100000
Training Epoch: 6 [13824/46250]	Loss: 0.1966	LR: 0.100000
Training Epoch: 6 [14080/46250]	Loss: 0.2524	LR: 0.100000
Training Epoch: 6 [14336/46250]	Loss: 0.2058	LR: 0.100000
Training Epoch: 6 [14592/46250]	Loss: 0.2774	LR: 0.100000
Training Epoch: 6 [14848/46250]	Loss: 0.2371	LR: 0.100000
Training Epoch: 6 [15104/46250]	Loss: 0.1470	LR: 0.100000
Training Epoch: 6 [15360/46250]	Loss: 0.1364	LR: 0.100000
Training Epoch: 6 [15616/46250]	Loss: 0.1374	LR: 0.100000
Training Epoch: 6 [15872/46250]	Loss: 0.1666	LR: 0.100000
Training Epoch: 6 [16128/46250]	Loss: 0.1403	LR: 0.100000
Training Epoch: 6 [16384/46250]	Loss: 0.1690	LR: 0.100000
Training Epoch: 6 [16640/46250]	Loss: 0.1282	LR: 0.100000
Training Epoch: 6 [16896/46250]	Loss: 0.2141	LR: 0.100000
Training Epoch: 6 [17152/46250]	Loss: 0.2027	LR: 0.100000
Training Epoch: 6 [17408/46250]	Loss: 0.2383	LR: 0.100000
Training Epoch: 6 [17664/46250]	Loss: 0.2153	LR: 0.100000
Training Epoch: 6 [17920/46250]	Loss: 0.1660	LR: 0.100000
Training Epoch: 6 [18176/46250]	Loss: 0.2501	LR: 0.100000
Training Epoch: 6 [18432/46250]	Loss: 0.0847	LR: 0.100000
Training Epoch: 6 [18688/46250]	Loss: 0.1844	LR: 0.100000
Training Epoch: 6 [18944/46250]	Loss: 0.3195	LR: 0.100000
Training Epoch: 6 [19200/46250]	Loss: 0.2635	LR: 0.100000
Training Epoch: 6 [19456/46250]	Loss: 0.2105	LR: 0.100000
Training Epoch: 6 [19712/46250]	Loss: 0.1579	LR: 0.100000
Training Epoch: 6 [19968/46250]	Loss: 0.1165	LR: 0.100000
Training Epoch: 6 [20224/46250]	Loss: 0.1565	LR: 0.100000
Training Epoch: 6 [20480/46250]	Loss: 0.1496	LR: 0.100000
Training Epoch: 6 [20736/46250]	Loss: 0.1878	LR: 0.100000
Training Epoch: 6 [20992/46250]	Loss: 0.0904	LR: 0.100000
Training Epoch: 6 [21248/46250]	Loss: 0.1847	LR: 0.100000
Training Epoch: 6 [21504/46250]	Loss: 0.1645	LR: 0.100000
Training Epoch: 6 [21760/46250]	Loss: 0.2146	LR: 0.100000
Training Epoch: 6 [22016/46250]	Loss: 0.1895	LR: 0.100000
Training Epoch: 6 [22272/46250]	Loss: 0.2092	LR: 0.100000
Training Epoch: 6 [22528/46250]	Loss: 0.1165	LR: 0.100000
Training Epoch: 6 [22784/46250]	Loss: 0.1910	LR: 0.100000
Training Epoch: 6 [23040/46250]	Loss: 0.1430	LR: 0.100000
Training Epoch: 6 [23296/46250]	Loss: 0.1984	LR: 0.100000
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Training Epoch: 6 [26880/46250]	Loss: 0.1947	LR: 0.100000
Training Epoch: 6 [27136/46250]	Loss: 0.1118	LR: 0.100000
Training Epoch: 6 [27392/46250]	Loss: 0.1914	LR: 0.100000
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Training Epoch: 6 [27904/46250]	Loss: 0.2112	LR: 0.100000
Training Epoch: 6 [28160/46250]	Loss: 0.1418	LR: 0.100000
Training Epoch: 6 [28416/46250]	Loss: 0.2075	LR: 0.100000
Training Epoch: 6 [28672/46250]	Loss: 0.1937	LR: 0.100000
Training Epoch: 6 [28928/46250]	Loss: 0.1495	LR: 0.100000
Training Epoch: 6 [29184/46250]	Loss: 0.1547	LR: 0.100000
Training Epoch: 6 [29440/46250]	Loss: 0.2433	LR: 0.100000
Training Epoch: 6 [29696/46250]	Loss: 0.1383	LR: 0.100000
Training Epoch: 6 [29952/46250]	Loss: 0.1365	LR: 0.100000
Training Epoch: 6 [30208/46250]	Loss: 0.1569	LR: 0.100000
Training Epoch: 6 [30464/46250]	Loss: 0.1869	LR: 0.100000
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Training Epoch: 6 [30976/46250]	Loss: 0.1399	LR: 0.100000
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Training Epoch: 6 [36608/46250]	Loss: 0.2410	LR: 0.100000
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Training Epoch: 6 [37120/46250]	Loss: 0.1327	LR: 0.100000
Training Epoch: 6 [37376/46250]	Loss: 0.1856	LR: 0.100000
Training Epoch: 6 [37632/46250]	Loss: 0.1994	LR: 0.100000
Training Epoch: 6 [37888/46250]	Loss: 0.1767	LR: 0.100000
Training Epoch: 6 [38144/46250]	Loss: 0.2117	LR: 0.100000
Training Epoch: 6 [38400/46250]	Loss: 0.1338	LR: 0.100000
Training Epoch: 6 [38656/46250]	Loss: 0.2698	LR: 0.100000
Training Epoch: 6 [38912/46250]	Loss: 0.1923	LR: 0.100000
Training Epoch: 6 [39168/46250]	Loss: 0.2161	LR: 0.100000
Training Epoch: 6 [39424/46250]	Loss: 0.1861	LR: 0.100000
Training Epoch: 6 [39680/46250]	Loss: 0.1909	LR: 0.100000
Training Epoch: 6 [39936/46250]	Loss: 0.2705	LR: 0.100000
Training Epoch: 6 [40192/46250]	Loss: 0.2294	LR: 0.100000
Training Epoch: 6 [40448/46250]	Loss: 0.1680	LR: 0.100000
Training Epoch: 6 [40704/46250]	Loss: 0.2149	LR: 0.100000
Training Epoch: 6 [40960/46250]	Loss: 0.1612	LR: 0.100000
Training Epoch: 6 [41216/46250]	Loss: 0.2045	LR: 0.100000
Training Epoch: 6 [41472/46250]	Loss: 0.1080	LR: 0.100000
Training Epoch: 6 [41728/46250]	Loss: 0.1685	LR: 0.100000
Training Epoch: 6 [41984/46250]	Loss: 0.1400	LR: 0.100000
Training Epoch: 6 [42240/46250]	Loss: 0.1741	LR: 0.100000
Training Epoch: 6 [42496/46250]	Loss: 0.1606	LR: 0.100000
Training Epoch: 6 [42752/46250]	Loss: 0.2105	LR: 0.100000
Training Epoch: 6 [43008/46250]	Loss: 0.1965	LR: 0.100000
Training Epoch: 6 [43264/46250]	Loss: 0.1169	LR: 0.100000
Training Epoch: 6 [43520/46250]	Loss: 0.1676	LR: 0.100000
Training Epoch: 6 [43776/46250]	Loss: 0.1640	LR: 0.100000
Training Epoch: 6 [44032/46250]	Loss: 0.1702	LR: 0.100000
Training Epoch: 6 [44288/46250]	Loss: 0.1577	LR: 0.100000
Training Epoch: 6 [44544/46250]	Loss: 0.0911	LR: 0.100000
Training Epoch: 6 [44800/46250]	Loss: 0.1892	LR: 0.100000
Training Epoch: 6 [45056/46250]	Loss: 0.1371	LR: 0.100000
Training Epoch: 6 [45312/46250]	Loss: 0.2312	LR: 0.100000
Training Epoch: 6 [45568/46250]	Loss: 0.1482	LR: 0.100000
Training Epoch: 6 [45824/46250]	Loss: 0.1584	LR: 0.100000
Training Epoch: 6 [46080/46250]	Loss: 0.2097	LR: 0.100000
Training Epoch: 6 [46250/46250]	Loss: 0.1633	LR: 0.100000
Epoch 6 - Average Train Loss: 0.1787, Train Accuracy: 0.9390
Epoch 6 training time consumed: 334.57s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0010, Accuracy: 0.9230, Time consumed:23.53s
Training Epoch: 7 [256/46250]	Loss: 0.3270	LR: 0.020000
Training Epoch: 7 [512/46250]	Loss: 0.2996	LR: 0.020000
Training Epoch: 7 [768/46250]	Loss: 0.3144	LR: 0.020000
Training Epoch: 7 [1024/46250]	Loss: 0.1158	LR: 0.020000
Training Epoch: 7 [1280/46250]	Loss: 0.0979	LR: 0.020000
Training Epoch: 7 [1536/46250]	Loss: 0.1209	LR: 0.020000
Training Epoch: 7 [1792/46250]	Loss: 0.1704	LR: 0.020000
Training Epoch: 7 [2048/46250]	Loss: 0.1292	LR: 0.020000
Training Epoch: 7 [2304/46250]	Loss: 0.1571	LR: 0.020000
Training Epoch: 7 [2560/46250]	Loss: 0.1553	LR: 0.020000
Training Epoch: 7 [2816/46250]	Loss: 0.1054	LR: 0.020000
Training Epoch: 7 [3072/46250]	Loss: 0.0892	LR: 0.020000
Training Epoch: 7 [3328/46250]	Loss: 0.1043	LR: 0.020000
Training Epoch: 7 [3584/46250]	Loss: 0.0923	LR: 0.020000
Training Epoch: 7 [3840/46250]	Loss: 0.0710	LR: 0.020000
Training Epoch: 7 [4096/46250]	Loss: 0.1060	LR: 0.020000
Training Epoch: 7 [4352/46250]	Loss: 0.0832	LR: 0.020000
Training Epoch: 7 [4608/46250]	Loss: 0.0792	LR: 0.020000
Training Epoch: 7 [4864/46250]	Loss: 0.0684	LR: 0.020000
Training Epoch: 7 [5120/46250]	Loss: 0.1090	LR: 0.020000
Training Epoch: 7 [5376/46250]	Loss: 0.0382	LR: 0.020000
Training Epoch: 7 [5632/46250]	Loss: 0.0718	LR: 0.020000
Training Epoch: 7 [5888/46250]	Loss: 0.1093	LR: 0.020000
Training Epoch: 7 [6144/46250]	Loss: 0.0294	LR: 0.020000
Training Epoch: 7 [6400/46250]	Loss: 0.0756	LR: 0.020000
Training Epoch: 7 [6656/46250]	Loss: 0.0751	LR: 0.020000
Training Epoch: 7 [6912/46250]	Loss: 0.0752	LR: 0.020000
Training Epoch: 7 [7168/46250]	Loss: 0.0512	LR: 0.020000
Training Epoch: 7 [7424/46250]	Loss: 0.0652	LR: 0.020000
Training Epoch: 7 [7680/46250]	Loss: 0.0217	LR: 0.020000
Training Epoch: 7 [7936/46250]	Loss: 0.1152	LR: 0.020000
Training Epoch: 7 [8192/46250]	Loss: 0.0728	LR: 0.020000
Training Epoch: 7 [8448/46250]	Loss: 0.0440	LR: 0.020000
Training Epoch: 7 [8704/46250]	Loss: 0.0533	LR: 0.020000
Training Epoch: 7 [8960/46250]	Loss: 0.0677	LR: 0.020000
Training Epoch: 7 [9216/46250]	Loss: 0.0595	LR: 0.020000
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Training Epoch: 7 [9984/46250]	Loss: 0.0800	LR: 0.020000
Training Epoch: 7 [10240/46250]	Loss: 0.0629	LR: 0.020000
Training Epoch: 7 [10496/46250]	Loss: 0.0329	LR: 0.020000
Training Epoch: 7 [10752/46250]	Loss: 0.0642	LR: 0.020000
Training Epoch: 7 [11008/46250]	Loss: 0.0728	LR: 0.020000
Training Epoch: 7 [11264/46250]	Loss: 0.0520	LR: 0.020000
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Training Epoch: 7 [11776/46250]	Loss: 0.0171	LR: 0.020000
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Training Epoch: 7 [12288/46250]	Loss: 0.0632	LR: 0.020000
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Training Epoch: 7 [12800/46250]	Loss: 0.0540	LR: 0.020000
Training Epoch: 7 [13056/46250]	Loss: 0.0324	LR: 0.020000
Training Epoch: 7 [13312/46250]	Loss: 0.0396	LR: 0.020000
Training Epoch: 7 [13568/46250]	Loss: 0.0648	LR: 0.020000
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Training Epoch: 7 [15872/46250]	Loss: 0.0620	LR: 0.020000
Training Epoch: 7 [16128/46250]	Loss: 0.0500	LR: 0.020000
Training Epoch: 7 [16384/46250]	Loss: 0.0503	LR: 0.020000
Training Epoch: 7 [16640/46250]	Loss: 0.0308	LR: 0.020000
Training Epoch: 7 [16896/46250]	Loss: 0.0658	LR: 0.020000
Training Epoch: 7 [17152/46250]	Loss: 0.0292	LR: 0.020000
Training Epoch: 7 [17408/46250]	Loss: 0.0447	LR: 0.020000
Training Epoch: 7 [17664/46250]	Loss: 0.0283	LR: 0.020000
Training Epoch: 7 [17920/46250]	Loss: 0.0948	LR: 0.020000
Training Epoch: 7 [18176/46250]	Loss: 0.0412	LR: 0.020000
Training Epoch: 7 [18432/46250]	Loss: 0.0501	LR: 0.020000
Training Epoch: 7 [18688/46250]	Loss: 0.0381	LR: 0.020000
Training Epoch: 7 [18944/46250]	Loss: 0.0289	LR: 0.020000
Training Epoch: 7 [19200/46250]	Loss: 0.0397	LR: 0.020000
Training Epoch: 7 [19456/46250]	Loss: 0.0539	LR: 0.020000
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Training Epoch: 7 [40448/46250]	Loss: 0.0772	LR: 0.020000
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Training Epoch: 7 [42496/46250]	Loss: 0.0794	LR: 0.020000
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Training Epoch: 7 [43520/46250]	Loss: 0.0782	LR: 0.020000
Training Epoch: 7 [43776/46250]	Loss: 0.0559	LR: 0.020000
Training Epoch: 7 [44032/46250]	Loss: 0.0293	LR: 0.020000
Training Epoch: 7 [44288/46250]	Loss: 0.0383	LR: 0.020000
Training Epoch: 7 [44544/46250]	Loss: 0.0817	LR: 0.020000
Training Epoch: 7 [44800/46250]	Loss: 0.0741	LR: 0.020000
Training Epoch: 7 [45056/46250]	Loss: 0.0346	LR: 0.020000
Training Epoch: 7 [45312/46250]	Loss: 0.0636	LR: 0.020000
Training Epoch: 7 [45568/46250]	Loss: 0.0538	LR: 0.020000
Training Epoch: 7 [45824/46250]	Loss: 0.0504	LR: 0.020000
Training Epoch: 7 [46080/46250]	Loss: 0.0629	LR: 0.020000
Training Epoch: 7 [46250/46250]	Loss: 0.0280	LR: 0.020000
Epoch 7 - Average Train Loss: 0.0607, Train Accuracy: 0.9796
Epoch 7 training time consumed: 334.63s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0004, Accuracy: 0.9657, Time consumed:23.53s
Saving weights file to checkpoint/retrain/ViT/Thursday_17_July_2025_21h_12m_33s/ViT-Cifar10-seed3-ret25-7-best.pth
Training Epoch: 8 [256/46250]	Loss: 0.0160	LR: 0.020000
Training Epoch: 8 [512/46250]	Loss: 0.0215	LR: 0.020000
Training Epoch: 8 [768/46250]	Loss: 0.0348	LR: 0.020000
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Training Epoch: 8 [1536/46250]	Loss: 0.0486	LR: 0.020000
Training Epoch: 8 [1792/46250]	Loss: 0.0321	LR: 0.020000
Training Epoch: 8 [2048/46250]	Loss: 0.0379	LR: 0.020000
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Training Epoch: 8 [2816/46250]	Loss: 0.0587	LR: 0.020000
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Training Epoch: 8 [19712/46250]	Loss: 0.0378	LR: 0.020000
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Training Epoch: 8 [20224/46250]	Loss: 0.0220	LR: 0.020000
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Training Epoch: 8 [23040/46250]	Loss: 0.0324	LR: 0.020000
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Training Epoch: 8 [24320/46250]	Loss: 0.0450	LR: 0.020000
Training Epoch: 8 [24576/46250]	Loss: 0.0514	LR: 0.020000
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Training Epoch: 8 [27904/46250]	Loss: 0.0338	LR: 0.020000
Training Epoch: 8 [28160/46250]	Loss: 0.0371	LR: 0.020000
Training Epoch: 8 [28416/46250]	Loss: 0.0142	LR: 0.020000
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Training Epoch: 8 [28928/46250]	Loss: 0.0215	LR: 0.020000
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Training Epoch: 8 [29440/46250]	Loss: 0.0165	LR: 0.020000
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Training Epoch: 8 [32768/46250]	Loss: 0.0356	LR: 0.020000
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Training Epoch: 8 [35328/46250]	Loss: 0.0532	LR: 0.020000
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Training Epoch: 8 [35840/46250]	Loss: 0.0212	LR: 0.020000
Training Epoch: 8 [36096/46250]	Loss: 0.0533	LR: 0.020000
Training Epoch: 8 [36352/46250]	Loss: 0.0341	LR: 0.020000
Training Epoch: 8 [36608/46250]	Loss: 0.0169	LR: 0.020000
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Training Epoch: 8 [37120/46250]	Loss: 0.0745	LR: 0.020000
Training Epoch: 8 [37376/46250]	Loss: 0.0442	LR: 0.020000
Training Epoch: 8 [37632/46250]	Loss: 0.0226	LR: 0.020000
Training Epoch: 8 [37888/46250]	Loss: 0.0375	LR: 0.020000
Training Epoch: 8 [38144/46250]	Loss: 0.0545	LR: 0.020000
Training Epoch: 8 [38400/46250]	Loss: 0.0687	LR: 0.020000
Training Epoch: 8 [38656/46250]	Loss: 0.0343	LR: 0.020000
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Training Epoch: 8 [42496/46250]	Loss: 0.0530	LR: 0.020000
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Training Epoch: 8 [43520/46250]	Loss: 0.0212	LR: 0.020000
Training Epoch: 8 [43776/46250]	Loss: 0.0368	LR: 0.020000
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Training Epoch: 8 [45056/46250]	Loss: 0.0660	LR: 0.020000
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Training Epoch: 8 [46080/46250]	Loss: 0.0517	LR: 0.020000
Training Epoch: 8 [46250/46250]	Loss: 0.0736	LR: 0.020000
Epoch 8 - Average Train Loss: 0.0389, Train Accuracy: 0.9869
Epoch 8 training time consumed: 334.05s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0004, Accuracy: 0.9722, Time consumed:23.55s
Saving weights file to checkpoint/retrain/ViT/Thursday_17_July_2025_21h_12m_33s/ViT-Cifar10-seed3-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: 97.28515625
Retain Accuracy: 98.98351287841797
Zero-Retain Forget (ZRF): 0.7719970345497131
Membership Inference Attack (MIA): 0.8042666666666667
Forget vs Retain Membership Inference Attack (MIA): 0.5546666666666666
Forget vs Test Membership Inference Attack (MIA): 0.53
Test vs Retain Membership Inference Attack (MIA): 0.5385
Train vs Test Membership Inference Attack (MIA): 0.517
Forget Set Accuracy (Df): 95.6943359375
Method Execution Time: 5270.53 seconds
