hello
hello

📌S Retain class distribution for seed 10:
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 10:
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: 2.5182	LR: 0.000000
Training Epoch: 1 [512/46250]	Loss: 2.4947	LR: 0.000552
Training Epoch: 1 [768/46250]	Loss: 2.4657	LR: 0.001105
Training Epoch: 1 [1024/46250]	Loss: 2.4139	LR: 0.001657
Training Epoch: 1 [1280/46250]	Loss: 2.3880	LR: 0.002210
Training Epoch: 1 [1536/46250]	Loss: 2.2006	LR: 0.002762
Training Epoch: 1 [1792/46250]	Loss: 2.0900	LR: 0.003315
Training Epoch: 1 [2048/46250]	Loss: 1.9049	LR: 0.003867
Training Epoch: 1 [2304/46250]	Loss: 1.6946	LR: 0.004420
Training Epoch: 1 [2560/46250]	Loss: 1.4949	LR: 0.004972
Training Epoch: 1 [2816/46250]	Loss: 1.3331	LR: 0.005525
Training Epoch: 1 [3072/46250]	Loss: 1.0391	LR: 0.006077
Training Epoch: 1 [3328/46250]	Loss: 0.8031	LR: 0.006630
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Training Epoch: 1 [8448/46250]	Loss: 0.1646	LR: 0.017680
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Training Epoch: 1 [9216/46250]	Loss: 0.5052	LR: 0.019337
Training Epoch: 1 [9472/46250]	Loss: 0.2300	LR: 0.019890
Training Epoch: 1 [9728/46250]	Loss: 0.2175	LR: 0.020442
Training Epoch: 1 [9984/46250]	Loss: 0.3194	LR: 0.020994
Training Epoch: 1 [10240/46250]	Loss: 0.3062	LR: 0.021547
Training Epoch: 1 [10496/46250]	Loss: 0.2153	LR: 0.022099
Training Epoch: 1 [10752/46250]	Loss: 0.2927	LR: 0.022652
Training Epoch: 1 [11008/46250]	Loss: 0.1577	LR: 0.023204
Training Epoch: 1 [11264/46250]	Loss: 0.3323	LR: 0.023757
Training Epoch: 1 [11520/46250]	Loss: 0.2278	LR: 0.024309
Training Epoch: 1 [11776/46250]	Loss: 0.2450	LR: 0.024862
Training Epoch: 1 [12032/46250]	Loss: 0.2738	LR: 0.025414
Training Epoch: 1 [12288/46250]	Loss: 0.2834	LR: 0.025967
Training Epoch: 1 [12544/46250]	Loss: 0.2048	LR: 0.026519
Training Epoch: 1 [12800/46250]	Loss: 0.2328	LR: 0.027072
Training Epoch: 1 [13056/46250]	Loss: 0.2249	LR: 0.027624
Training Epoch: 1 [13312/46250]	Loss: 0.1814	LR: 0.028177
Training Epoch: 1 [13568/46250]	Loss: 0.1692	LR: 0.028729
Training Epoch: 1 [13824/46250]	Loss: 0.1845	LR: 0.029282
Training Epoch: 1 [14080/46250]	Loss: 0.1682	LR: 0.029834
Training Epoch: 1 [14336/46250]	Loss: 0.2267	LR: 0.030387
Training Epoch: 1 [14592/46250]	Loss: 0.1832	LR: 0.030939
Training Epoch: 1 [14848/46250]	Loss: 0.1229	LR: 0.031492
Training Epoch: 1 [15104/46250]	Loss: 0.1954	LR: 0.032044
Training Epoch: 1 [15360/46250]	Loss: 0.1990	LR: 0.032597
Training Epoch: 1 [15616/46250]	Loss: 0.1535	LR: 0.033149
Training Epoch: 1 [15872/46250]	Loss: 0.1173	LR: 0.033702
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Training Epoch: 1 [16384/46250]	Loss: 0.1806	LR: 0.034807
Training Epoch: 1 [16640/46250]	Loss: 0.2309	LR: 0.035359
Training Epoch: 1 [16896/46250]	Loss: 0.1413	LR: 0.035912
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Training Epoch: 1 [17664/46250]	Loss: 0.2124	LR: 0.037569
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Training Epoch: 1 [19712/46250]	Loss: 0.1361	LR: 0.041989
Training Epoch: 1 [19968/46250]	Loss: 0.1575	LR: 0.042541
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Training Epoch: 1 [20480/46250]	Loss: 0.2075	LR: 0.043646
Training Epoch: 1 [20736/46250]	Loss: 0.3261	LR: 0.044199
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Training Epoch: 1 [21248/46250]	Loss: 0.1409	LR: 0.045304
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Training Epoch: 1 [22016/46250]	Loss: 0.1963	LR: 0.046961
Training Epoch: 1 [22272/46250]	Loss: 0.3473	LR: 0.047514
Training Epoch: 1 [22528/46250]	Loss: 0.2816	LR: 0.048066
Training Epoch: 1 [22784/46250]	Loss: 0.2185	LR: 0.048619
Training Epoch: 1 [23040/46250]	Loss: 0.1770	LR: 0.049171
Training Epoch: 1 [23296/46250]	Loss: 0.2241	LR: 0.049724
Training Epoch: 1 [23552/46250]	Loss: 0.2218	LR: 0.050276
Training Epoch: 1 [23808/46250]	Loss: 0.2757	LR: 0.050829
Training Epoch: 1 [24064/46250]	Loss: 0.1592	LR: 0.051381
Training Epoch: 1 [24320/46250]	Loss: 0.2092	LR: 0.051934
Training Epoch: 1 [24576/46250]	Loss: 0.2457	LR: 0.052486
Training Epoch: 1 [24832/46250]	Loss: 0.2354	LR: 0.053039
Training Epoch: 1 [25088/46250]	Loss: 0.1650	LR: 0.053591
Training Epoch: 1 [25344/46250]	Loss: 0.2467	LR: 0.054144
Training Epoch: 1 [25600/46250]	Loss: 0.2532	LR: 0.054696
Training Epoch: 1 [25856/46250]	Loss: 0.1676	LR: 0.055249
Training Epoch: 1 [26112/46250]	Loss: 0.2072	LR: 0.055801
Training Epoch: 1 [26368/46250]	Loss: 0.3486	LR: 0.056354
Training Epoch: 1 [26624/46250]	Loss: 0.1784	LR: 0.056906
Training Epoch: 1 [26880/46250]	Loss: 0.2999	LR: 0.057459
Training Epoch: 1 [27136/46250]	Loss: 0.3789	LR: 0.058011
Training Epoch: 1 [27392/46250]	Loss: 0.3354	LR: 0.058564
Training Epoch: 1 [27648/46250]	Loss: 0.2411	LR: 0.059116
Training Epoch: 1 [27904/46250]	Loss: 0.2326	LR: 0.059669
Training Epoch: 1 [28160/46250]	Loss: 0.2761	LR: 0.060221
Training Epoch: 1 [28416/46250]	Loss: 0.2204	LR: 0.060773
Training Epoch: 1 [28672/46250]	Loss: 0.1344	LR: 0.061326
Training Epoch: 1 [28928/46250]	Loss: 0.2794	LR: 0.061878
Training Epoch: 1 [29184/46250]	Loss: 0.3119	LR: 0.062431
Training Epoch: 1 [29440/46250]	Loss: 0.5232	LR: 0.062983
Training Epoch: 1 [29696/46250]	Loss: 0.3961	LR: 0.063536
Training Epoch: 1 [29952/46250]	Loss: 0.3628	LR: 0.064088
Training Epoch: 1 [30208/46250]	Loss: 0.3679	LR: 0.064641
Training Epoch: 1 [30464/46250]	Loss: 0.5132	LR: 0.065193
Training Epoch: 1 [30720/46250]	Loss: 0.2731	LR: 0.065746
Training Epoch: 1 [30976/46250]	Loss: 0.3131	LR: 0.066298
Training Epoch: 1 [31232/46250]	Loss: 0.2902	LR: 0.066851
Training Epoch: 1 [31488/46250]	Loss: 0.1846	LR: 0.067403
Training Epoch: 1 [31744/46250]	Loss: 0.3300	LR: 0.067956
Training Epoch: 1 [32000/46250]	Loss: 0.2951	LR: 0.068508
Training Epoch: 1 [32256/46250]	Loss: 0.4633	LR: 0.069061
Training Epoch: 1 [32512/46250]	Loss: 0.3172	LR: 0.069613
Training Epoch: 1 [32768/46250]	Loss: 0.2497	LR: 0.070166
Training Epoch: 1 [33024/46250]	Loss: 0.3381	LR: 0.070718
Training Epoch: 1 [33280/46250]	Loss: 0.9551	LR: 0.071271
Training Epoch: 1 [33536/46250]	Loss: 1.3199	LR: 0.071823
Training Epoch: 1 [33792/46250]	Loss: 1.3682	LR: 0.072376
Training Epoch: 1 [34048/46250]	Loss: 1.5391	LR: 0.072928
Training Epoch: 1 [34304/46250]	Loss: 1.4434	LR: 0.073481
Training Epoch: 1 [34560/46250]	Loss: 1.4948	LR: 0.074033
Training Epoch: 1 [34816/46250]	Loss: 1.1739	LR: 0.074586
Training Epoch: 1 [35072/46250]	Loss: 1.2114	LR: 0.075138
Training Epoch: 1 [35328/46250]	Loss: 0.8454	LR: 0.075691
Training Epoch: 1 [35584/46250]	Loss: 0.8271	LR: 0.076243
Training Epoch: 1 [35840/46250]	Loss: 0.8023	LR: 0.076796
Training Epoch: 1 [36096/46250]	Loss: 0.7595	LR: 0.077348
Training Epoch: 1 [36352/46250]	Loss: 0.6449	LR: 0.077901
Training Epoch: 1 [36608/46250]	Loss: 0.7573	LR: 0.078453
Training Epoch: 1 [36864/46250]	Loss: 0.8985	LR: 0.079006
Training Epoch: 1 [37120/46250]	Loss: 0.8040	LR: 0.079558
Training Epoch: 1 [37376/46250]	Loss: 0.8483	LR: 0.080110
Training Epoch: 1 [37632/46250]	Loss: 0.6796	LR: 0.080663
Training Epoch: 1 [37888/46250]	Loss: 0.5496	LR: 0.081215
Training Epoch: 1 [38144/46250]	Loss: 0.6226	LR: 0.081768
Training Epoch: 1 [38400/46250]	Loss: 0.6374	LR: 0.082320
Training Epoch: 1 [38656/46250]	Loss: 0.6260	LR: 0.082873
Training Epoch: 1 [38912/46250]	Loss: 0.6021	LR: 0.083425
Training Epoch: 1 [39168/46250]	Loss: 0.6055	LR: 0.083978
Training Epoch: 1 [39424/46250]	Loss: 0.7672	LR: 0.084530
Training Epoch: 1 [39680/46250]	Loss: 0.5580	LR: 0.085083
Training Epoch: 1 [39936/46250]	Loss: 0.7675	LR: 0.085635
Training Epoch: 1 [40192/46250]	Loss: 0.6709	LR: 0.086188
Training Epoch: 1 [40448/46250]	Loss: 0.7881	LR: 0.086740
Training Epoch: 1 [40704/46250]	Loss: 0.7029	LR: 0.087293
Training Epoch: 1 [40960/46250]	Loss: 0.6573	LR: 0.087845
Training Epoch: 1 [41216/46250]	Loss: 0.5457	LR: 0.088398
Training Epoch: 1 [41472/46250]	Loss: 0.6076	LR: 0.088950
Training Epoch: 1 [41728/46250]	Loss: 0.4370	LR: 0.089503
Training Epoch: 1 [41984/46250]	Loss: 0.5879	LR: 0.090055
Training Epoch: 1 [42240/46250]	Loss: 1.0094	LR: 0.090608
Training Epoch: 1 [42496/46250]	Loss: 0.7958	LR: 0.091160
Training Epoch: 1 [42752/46250]	Loss: 0.6713	LR: 0.091713
Training Epoch: 1 [43008/46250]	Loss: 0.5976	LR: 0.092265
Training Epoch: 1 [43264/46250]	Loss: 0.5151	LR: 0.092818
Training Epoch: 1 [43520/46250]	Loss: 0.4327	LR: 0.093370
Training Epoch: 1 [43776/46250]	Loss: 0.7496	LR: 0.093923
Training Epoch: 1 [44032/46250]	Loss: 0.5863	LR: 0.094475
Training Epoch: 1 [44288/46250]	Loss: 0.5341	LR: 0.095028
Training Epoch: 1 [44544/46250]	Loss: 0.6627	LR: 0.095580
Training Epoch: 1 [44800/46250]	Loss: 0.4306	LR: 0.096133
Training Epoch: 1 [45056/46250]	Loss: 0.3566	LR: 0.096685
Training Epoch: 1 [45312/46250]	Loss: 0.6210	LR: 0.097238
Training Epoch: 1 [45568/46250]	Loss: 0.3995	LR: 0.097790
Training Epoch: 1 [45824/46250]	Loss: 0.3709	LR: 0.098343
Training Epoch: 1 [46080/46250]	Loss: 0.3649	LR: 0.098895
Training Epoch: 1 [46250/46250]	Loss: 0.3619	LR: 0.099448
Epoch 1 - Average Train Loss: 0.5125, Train Accuracy: 0.8368
Epoch 1 training time consumed: 335.30s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0010, Accuracy: 0.9106, Time consumed:23.58s
Saving weights file to checkpoint/retrain/ViT/Friday_18_July_2025_07h_31m_38s/ViT-Cifar10-seed10-ret25-1-best.pth
Training Epoch: 2 [256/46250]	Loss: 0.2820	LR: 0.100000
Training Epoch: 2 [512/46250]	Loss: 0.3803	LR: 0.100000
Training Epoch: 2 [768/46250]	Loss: 0.3382	LR: 0.100000
Training Epoch: 2 [1024/46250]	Loss: 0.2512	LR: 0.100000
Training Epoch: 2 [1280/46250]	Loss: 0.1969	LR: 0.100000
Training Epoch: 2 [1536/46250]	Loss: 0.3121	LR: 0.100000
Training Epoch: 2 [1792/46250]	Loss: 0.2308	LR: 0.100000
Training Epoch: 2 [2048/46250]	Loss: 0.2867	LR: 0.100000
Training Epoch: 2 [2304/46250]	Loss: 0.2992	LR: 0.100000
Training Epoch: 2 [2560/46250]	Loss: 0.2354	LR: 0.100000
Training Epoch: 2 [2816/46250]	Loss: 0.2406	LR: 0.100000
Training Epoch: 2 [3072/46250]	Loss: 0.3129	LR: 0.100000
Training Epoch: 2 [3328/46250]	Loss: 0.2205	LR: 0.100000
Training Epoch: 2 [3584/46250]	Loss: 0.3688	LR: 0.100000
Training Epoch: 2 [3840/46250]	Loss: 0.2858	LR: 0.100000
Training Epoch: 2 [4096/46250]	Loss: 0.1816	LR: 0.100000
Training Epoch: 2 [4352/46250]	Loss: 0.2549	LR: 0.100000
Training Epoch: 2 [4608/46250]	Loss: 0.3493	LR: 0.100000
Training Epoch: 2 [4864/46250]	Loss: 0.2176	LR: 0.100000
Training Epoch: 2 [5120/46250]	Loss: 0.2458	LR: 0.100000
Training Epoch: 2 [5376/46250]	Loss: 0.2119	LR: 0.100000
Training Epoch: 2 [5632/46250]	Loss: 0.3182	LR: 0.100000
Training Epoch: 2 [5888/46250]	Loss: 0.3236	LR: 0.100000
Training Epoch: 2 [6144/46250]	Loss: 0.2747	LR: 0.100000
Training Epoch: 2 [6400/46250]	Loss: 0.2142	LR: 0.100000
Training Epoch: 2 [6656/46250]	Loss: 0.2320	LR: 0.100000
Training Epoch: 2 [6912/46250]	Loss: 0.1770	LR: 0.100000
Training Epoch: 2 [7168/46250]	Loss: 0.2013	LR: 0.100000
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Training Epoch: 2 [7936/46250]	Loss: 0.1769	LR: 0.100000
Training Epoch: 2 [8192/46250]	Loss: 0.2452	LR: 0.100000
Training Epoch: 2 [8448/46250]	Loss: 0.3316	LR: 0.100000
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Training Epoch: 2 [24064/46250]	Loss: 0.2018	LR: 0.100000
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Training Epoch: 2 [46250/46250]	Loss: 0.1328	LR: 0.100000
Epoch 2 - Average Train Loss: 0.2184, Train Accuracy: 0.9261
Epoch 2 training time consumed: 334.25s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0005, Accuracy: 0.9549, Time consumed:23.55s
Saving weights file to checkpoint/retrain/ViT/Friday_18_July_2025_07h_31m_38s/ViT-Cifar10-seed10-ret25-2-best.pth
Training Epoch: 3 [256/46250]	Loss: 0.1134	LR: 0.100000
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Training Epoch: 3 [46250/46250]	Loss: 0.1102	LR: 0.100000
Epoch 3 - Average Train Loss: 0.1497, Train Accuracy: 0.9497
Epoch 3 training time consumed: 334.03s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0004, Accuracy: 0.9643, Time consumed:23.56s
Saving weights file to checkpoint/retrain/ViT/Friday_18_July_2025_07h_31m_38s/ViT-Cifar10-seed10-ret25-3-best.pth
Training Epoch: 4 [256/46250]	Loss: 0.0816	LR: 0.100000
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Training Epoch: 4 [8192/46250]	Loss: 0.1610	LR: 0.100000
Training Epoch: 4 [8448/46250]	Loss: 0.1844	LR: 0.100000
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Training Epoch: 4 [11520/46250]	Loss: 0.1627	LR: 0.100000
Training Epoch: 4 [11776/46250]	Loss: 0.1240	LR: 0.100000
Training Epoch: 4 [12032/46250]	Loss: 0.0957	LR: 0.100000
Training Epoch: 4 [12288/46250]	Loss: 0.1293	LR: 0.100000
Training Epoch: 4 [12544/46250]	Loss: 0.2267	LR: 0.100000
Training Epoch: 4 [12800/46250]	Loss: 0.1762	LR: 0.100000
Training Epoch: 4 [13056/46250]	Loss: 0.1143	LR: 0.100000
Training Epoch: 4 [13312/46250]	Loss: 0.2067	LR: 0.100000
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Training Epoch: 4 [16896/46250]	Loss: 0.1191	LR: 0.100000
Training Epoch: 4 [17152/46250]	Loss: 0.2246	LR: 0.100000
Training Epoch: 4 [17408/46250]	Loss: 0.1814	LR: 0.100000
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Training Epoch: 4 [17920/46250]	Loss: 0.1627	LR: 0.100000
Training Epoch: 4 [18176/46250]	Loss: 0.1937	LR: 0.100000
Training Epoch: 4 [18432/46250]	Loss: 0.1417	LR: 0.100000
Training Epoch: 4 [18688/46250]	Loss: 0.1605	LR: 0.100000
Training Epoch: 4 [18944/46250]	Loss: 0.1622	LR: 0.100000
Training Epoch: 4 [19200/46250]	Loss: 0.1907	LR: 0.100000
Training Epoch: 4 [19456/46250]	Loss: 0.0979	LR: 0.100000
Training Epoch: 4 [19712/46250]	Loss: 0.1405	LR: 0.100000
Training Epoch: 4 [19968/46250]	Loss: 0.0983	LR: 0.100000
Training Epoch: 4 [20224/46250]	Loss: 0.1449	LR: 0.100000
Training Epoch: 4 [20480/46250]	Loss: 0.1694	LR: 0.100000
Training Epoch: 4 [20736/46250]	Loss: 0.1634	LR: 0.100000
Training Epoch: 4 [20992/46250]	Loss: 0.1015	LR: 0.100000
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Training Epoch: 4 [21504/46250]	Loss: 0.1521	LR: 0.100000
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Training Epoch: 4 [22016/46250]	Loss: 0.1978	LR: 0.100000
Training Epoch: 4 [22272/46250]	Loss: 0.1169	LR: 0.100000
Training Epoch: 4 [22528/46250]	Loss: 0.1170	LR: 0.100000
Training Epoch: 4 [22784/46250]	Loss: 0.2733	LR: 0.100000
Training Epoch: 4 [23040/46250]	Loss: 0.1230	LR: 0.100000
Training Epoch: 4 [23296/46250]	Loss: 0.1417	LR: 0.100000
Training Epoch: 4 [23552/46250]	Loss: 0.1995	LR: 0.100000
Training Epoch: 4 [23808/46250]	Loss: 0.1234	LR: 0.100000
Training Epoch: 4 [24064/46250]	Loss: 0.1344	LR: 0.100000
Training Epoch: 4 [24320/46250]	Loss: 0.2122	LR: 0.100000
Training Epoch: 4 [24576/46250]	Loss: 0.1208	LR: 0.100000
Training Epoch: 4 [24832/46250]	Loss: 0.1507	LR: 0.100000
Training Epoch: 4 [25088/46250]	Loss: 0.0866	LR: 0.100000
Training Epoch: 4 [25344/46250]	Loss: 0.1122	LR: 0.100000
Training Epoch: 4 [25600/46250]	Loss: 0.1537	LR: 0.100000
Training Epoch: 4 [25856/46250]	Loss: 0.1326	LR: 0.100000
Training Epoch: 4 [26112/46250]	Loss: 0.1401	LR: 0.100000
Training Epoch: 4 [26368/46250]	Loss: 0.0850	LR: 0.100000
Training Epoch: 4 [26624/46250]	Loss: 0.1409	LR: 0.100000
Training Epoch: 4 [26880/46250]	Loss: 0.0968	LR: 0.100000
Training Epoch: 4 [27136/46250]	Loss: 0.0878	LR: 0.100000
Training Epoch: 4 [27392/46250]	Loss: 0.0957	LR: 0.100000
Training Epoch: 4 [27648/46250]	Loss: 0.2053	LR: 0.100000
Training Epoch: 4 [27904/46250]	Loss: 0.1238	LR: 0.100000
Training Epoch: 4 [28160/46250]	Loss: 0.1246	LR: 0.100000
Training Epoch: 4 [28416/46250]	Loss: 0.1677	LR: 0.100000
Training Epoch: 4 [28672/46250]	Loss: 0.2119	LR: 0.100000
Training Epoch: 4 [28928/46250]	Loss: 0.2014	LR: 0.100000
Training Epoch: 4 [29184/46250]	Loss: 0.2386	LR: 0.100000
Training Epoch: 4 [29440/46250]	Loss: 0.2126	LR: 0.100000
Training Epoch: 4 [29696/46250]	Loss: 0.1375	LR: 0.100000
Training Epoch: 4 [29952/46250]	Loss: 0.1353	LR: 0.100000
Training Epoch: 4 [30208/46250]	Loss: 0.1961	LR: 0.100000
Training Epoch: 4 [30464/46250]	Loss: 0.1717	LR: 0.100000
Training Epoch: 4 [30720/46250]	Loss: 0.1789	LR: 0.100000
Training Epoch: 4 [30976/46250]	Loss: 0.1138	LR: 0.100000
Training Epoch: 4 [31232/46250]	Loss: 0.1903	LR: 0.100000
Training Epoch: 4 [31488/46250]	Loss: 0.2332	LR: 0.100000
Training Epoch: 4 [31744/46250]	Loss: 0.1930	LR: 0.100000
Training Epoch: 4 [32000/46250]	Loss: 0.1941	LR: 0.100000
Training Epoch: 4 [32256/46250]	Loss: 0.2180	LR: 0.100000
Training Epoch: 4 [32512/46250]	Loss: 0.1480	LR: 0.100000
Training Epoch: 4 [32768/46250]	Loss: 0.1558	LR: 0.100000
Training Epoch: 4 [33024/46250]	Loss: 0.1879	LR: 0.100000
Training Epoch: 4 [33280/46250]	Loss: 0.1832	LR: 0.100000
Training Epoch: 4 [33536/46250]	Loss: 0.1760	LR: 0.100000
Training Epoch: 4 [33792/46250]	Loss: 0.1696	LR: 0.100000
Training Epoch: 4 [34048/46250]	Loss: 0.1822	LR: 0.100000
Training Epoch: 4 [34304/46250]	Loss: 0.1528	LR: 0.100000
Training Epoch: 4 [34560/46250]	Loss: 0.1603	LR: 0.100000
Training Epoch: 4 [34816/46250]	Loss: 0.1189	LR: 0.100000
Training Epoch: 4 [35072/46250]	Loss: 0.1782	LR: 0.100000
Training Epoch: 4 [35328/46250]	Loss: 0.1736	LR: 0.100000
Training Epoch: 4 [35584/46250]	Loss: 0.2355	LR: 0.100000
Training Epoch: 4 [35840/46250]	Loss: 0.1122	LR: 0.100000
Training Epoch: 4 [36096/46250]	Loss: 0.2283	LR: 0.100000
Training Epoch: 4 [36352/46250]	Loss: 0.1734	LR: 0.100000
Training Epoch: 4 [36608/46250]	Loss: 0.2056	LR: 0.100000
Training Epoch: 4 [36864/46250]	Loss: 0.1341	LR: 0.100000
Training Epoch: 4 [37120/46250]	Loss: 0.2484	LR: 0.100000
Training Epoch: 4 [37376/46250]	Loss: 0.1610	LR: 0.100000
Training Epoch: 4 [37632/46250]	Loss: 0.0956	LR: 0.100000
Training Epoch: 4 [37888/46250]	Loss: 0.2242	LR: 0.100000
Training Epoch: 4 [38144/46250]	Loss: 0.0964	LR: 0.100000
Training Epoch: 4 [38400/46250]	Loss: 0.1306	LR: 0.100000
Training Epoch: 4 [38656/46250]	Loss: 0.0873	LR: 0.100000
Training Epoch: 4 [38912/46250]	Loss: 0.1825	LR: 0.100000
Training Epoch: 4 [39168/46250]	Loss: 0.1857	LR: 0.100000
Training Epoch: 4 [39424/46250]	Loss: 0.1342	LR: 0.100000
Training Epoch: 4 [39680/46250]	Loss: 0.1842	LR: 0.100000
Training Epoch: 4 [39936/46250]	Loss: 0.1916	LR: 0.100000
Training Epoch: 4 [40192/46250]	Loss: 0.1431	LR: 0.100000
Training Epoch: 4 [40448/46250]	Loss: 0.1013	LR: 0.100000
Training Epoch: 4 [40704/46250]	Loss: 0.1270	LR: 0.100000
Training Epoch: 4 [40960/46250]	Loss: 0.1507	LR: 0.100000
Training Epoch: 4 [41216/46250]	Loss: 0.1453	LR: 0.100000
Training Epoch: 4 [41472/46250]	Loss: 0.1220	LR: 0.100000
Training Epoch: 4 [41728/46250]	Loss: 0.1795	LR: 0.100000
Training Epoch: 4 [41984/46250]	Loss: 0.2183	LR: 0.100000
Training Epoch: 4 [42240/46250]	Loss: 0.1338	LR: 0.100000
Training Epoch: 4 [42496/46250]	Loss: 0.1305	LR: 0.100000
Training Epoch: 4 [42752/46250]	Loss: 0.1660	LR: 0.100000
Training Epoch: 4 [43008/46250]	Loss: 0.1998	LR: 0.100000
Training Epoch: 4 [43264/46250]	Loss: 0.1847	LR: 0.100000
Training Epoch: 4 [43520/46250]	Loss: 0.1312	LR: 0.100000
Training Epoch: 4 [43776/46250]	Loss: 0.1651	LR: 0.100000
Training Epoch: 4 [44032/46250]	Loss: 0.2704	LR: 0.100000
Training Epoch: 4 [44288/46250]	Loss: 0.0851	LR: 0.100000
Training Epoch: 4 [44544/46250]	Loss: 0.2066	LR: 0.100000
Training Epoch: 4 [44800/46250]	Loss: 0.2110	LR: 0.100000
Training Epoch: 4 [45056/46250]	Loss: 0.1029	LR: 0.100000
Training Epoch: 4 [45312/46250]	Loss: 0.1378	LR: 0.100000
Training Epoch: 4 [45568/46250]	Loss: 0.1574	LR: 0.100000
Training Epoch: 4 [45824/46250]	Loss: 0.1433	LR: 0.100000
Training Epoch: 4 [46080/46250]	Loss: 0.2078	LR: 0.100000
Training Epoch: 4 [46250/46250]	Loss: 0.1050	LR: 0.100000
Epoch 4 - Average Train Loss: 0.1538, Train Accuracy: 0.9473
Epoch 4 training time consumed: 334.19s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0005, Accuracy: 0.9596, Time consumed:23.52s
Training Epoch: 5 [256/46250]	Loss: 0.1424	LR: 0.100000
Training Epoch: 5 [512/46250]	Loss: 0.1170	LR: 0.100000
Training Epoch: 5 [768/46250]	Loss: 0.0892	LR: 0.100000
Training Epoch: 5 [1024/46250]	Loss: 0.1420	LR: 0.100000
Training Epoch: 5 [1280/46250]	Loss: 0.1446	LR: 0.100000
Training Epoch: 5 [1536/46250]	Loss: 0.1191	LR: 0.100000
Training Epoch: 5 [1792/46250]	Loss: 0.2196	LR: 0.100000
Training Epoch: 5 [2048/46250]	Loss: 0.1379	LR: 0.100000
Training Epoch: 5 [2304/46250]	Loss: 0.1519	LR: 0.100000
Training Epoch: 5 [2560/46250]	Loss: 0.2012	LR: 0.100000
Training Epoch: 5 [2816/46250]	Loss: 0.0990	LR: 0.100000
Training Epoch: 5 [3072/46250]	Loss: 0.0871	LR: 0.100000
Training Epoch: 5 [3328/46250]	Loss: 0.1869	LR: 0.100000
Training Epoch: 5 [3584/46250]	Loss: 0.1900	LR: 0.100000
Training Epoch: 5 [3840/46250]	Loss: 0.1914	LR: 0.100000
Training Epoch: 5 [4096/46250]	Loss: 0.1733	LR: 0.100000
Training Epoch: 5 [4352/46250]	Loss: 0.1831	LR: 0.100000
Training Epoch: 5 [4608/46250]	Loss: 0.2135	LR: 0.100000
Training Epoch: 5 [4864/46250]	Loss: 0.1537	LR: 0.100000
Training Epoch: 5 [5120/46250]	Loss: 0.2044	LR: 0.100000
Training Epoch: 5 [5376/46250]	Loss: 0.1489	LR: 0.100000
Training Epoch: 5 [5632/46250]	Loss: 0.2350	LR: 0.100000
Training Epoch: 5 [5888/46250]	Loss: 0.1262	LR: 0.100000
Training Epoch: 5 [6144/46250]	Loss: 0.1320	LR: 0.100000
Training Epoch: 5 [6400/46250]	Loss: 0.1583	LR: 0.100000
Training Epoch: 5 [6656/46250]	Loss: 0.1517	LR: 0.100000
Training Epoch: 5 [6912/46250]	Loss: 0.1056	LR: 0.100000
Training Epoch: 5 [7168/46250]	Loss: 0.2214	LR: 0.100000
Training Epoch: 5 [7424/46250]	Loss: 0.1496	LR: 0.100000
Training Epoch: 5 [7680/46250]	Loss: 0.1629	LR: 0.100000
Training Epoch: 5 [7936/46250]	Loss: 0.1077	LR: 0.100000
Training Epoch: 5 [8192/46250]	Loss: 0.0925	LR: 0.100000
Training Epoch: 5 [8448/46250]	Loss: 0.1112	LR: 0.100000
Training Epoch: 5 [8704/46250]	Loss: 0.1859	LR: 0.100000
Training Epoch: 5 [8960/46250]	Loss: 0.1731	LR: 0.100000
Training Epoch: 5 [9216/46250]	Loss: 0.1612	LR: 0.100000
Training Epoch: 5 [9472/46250]	Loss: 0.2539	LR: 0.100000
Training Epoch: 5 [9728/46250]	Loss: 0.1929	LR: 0.100000
Training Epoch: 5 [9984/46250]	Loss: 0.1404	LR: 0.100000
Training Epoch: 5 [10240/46250]	Loss: 0.2342	LR: 0.100000
Training Epoch: 5 [10496/46250]	Loss: 0.1002	LR: 0.100000
Training Epoch: 5 [10752/46250]	Loss: 0.2337	LR: 0.100000
Training Epoch: 5 [11008/46250]	Loss: 0.1898	LR: 0.100000
Training Epoch: 5 [11264/46250]	Loss: 0.1905	LR: 0.100000
Training Epoch: 5 [11520/46250]	Loss: 0.2650	LR: 0.100000
Training Epoch: 5 [11776/46250]	Loss: 0.2035	LR: 0.100000
Training Epoch: 5 [12032/46250]	Loss: 0.3524	LR: 0.100000
Training Epoch: 5 [12288/46250]	Loss: 0.1810	LR: 0.100000
Training Epoch: 5 [12544/46250]	Loss: 0.1773	LR: 0.100000
Training Epoch: 5 [12800/46250]	Loss: 0.2104	LR: 0.100000
Training Epoch: 5 [13056/46250]	Loss: 0.1679	LR: 0.100000
Training Epoch: 5 [13312/46250]	Loss: 0.2829	LR: 0.100000
Training Epoch: 5 [13568/46250]	Loss: 0.2302	LR: 0.100000
Training Epoch: 5 [13824/46250]	Loss: 0.1487	LR: 0.100000
Training Epoch: 5 [14080/46250]	Loss: 0.2783	LR: 0.100000
Training Epoch: 5 [14336/46250]	Loss: 0.2791	LR: 0.100000
Training Epoch: 5 [14592/46250]	Loss: 0.1886	LR: 0.100000
Training Epoch: 5 [14848/46250]	Loss: 0.2305	LR: 0.100000
Training Epoch: 5 [15104/46250]	Loss: 0.3121	LR: 0.100000
Training Epoch: 5 [15360/46250]	Loss: 0.1684	LR: 0.100000
Training Epoch: 5 [15616/46250]	Loss: 0.2201	LR: 0.100000
Training Epoch: 5 [15872/46250]	Loss: 0.2695	LR: 0.100000
Training Epoch: 5 [16128/46250]	Loss: 0.2597	LR: 0.100000
Training Epoch: 5 [16384/46250]	Loss: 0.1650	LR: 0.100000
Training Epoch: 5 [16640/46250]	Loss: 0.2059	LR: 0.100000
Training Epoch: 5 [16896/46250]	Loss: 0.2586	LR: 0.100000
Training Epoch: 5 [17152/46250]	Loss: 0.2150	LR: 0.100000
Training Epoch: 5 [17408/46250]	Loss: 0.1620	LR: 0.100000
Training Epoch: 5 [17664/46250]	Loss: 0.1730	LR: 0.100000
Training Epoch: 5 [17920/46250]	Loss: 0.2095	LR: 0.100000
Training Epoch: 5 [18176/46250]	Loss: 0.1558	LR: 0.100000
Training Epoch: 5 [18432/46250]	Loss: 0.1656	LR: 0.100000
Training Epoch: 5 [18688/46250]	Loss: 0.1686	LR: 0.100000
Training Epoch: 5 [18944/46250]	Loss: 0.1860	LR: 0.100000
Training Epoch: 5 [19200/46250]	Loss: 0.1262	LR: 0.100000
Training Epoch: 5 [19456/46250]	Loss: 0.1274	LR: 0.100000
Training Epoch: 5 [19712/46250]	Loss: 0.1723	LR: 0.100000
Training Epoch: 5 [19968/46250]	Loss: 0.1865	LR: 0.100000
Training Epoch: 5 [20224/46250]	Loss: 0.1400	LR: 0.100000
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Training Epoch: 5 [22016/46250]	Loss: 0.1648	LR: 0.100000
Training Epoch: 5 [22272/46250]	Loss: 0.1866	LR: 0.100000
Training Epoch: 5 [22528/46250]	Loss: 0.1284	LR: 0.100000
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Training Epoch: 5 [23040/46250]	Loss: 0.1865	LR: 0.100000
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Training Epoch: 5 [23552/46250]	Loss: 0.2045	LR: 0.100000
Training Epoch: 5 [23808/46250]	Loss: 0.1583	LR: 0.100000
Training Epoch: 5 [24064/46250]	Loss: 0.2008	LR: 0.100000
Training Epoch: 5 [24320/46250]	Loss: 0.1956	LR: 0.100000
Training Epoch: 5 [24576/46250]	Loss: 0.1530	LR: 0.100000
Training Epoch: 5 [24832/46250]	Loss: 0.1932	LR: 0.100000
Training Epoch: 5 [25088/46250]	Loss: 0.1613	LR: 0.100000
Training Epoch: 5 [25344/46250]	Loss: 0.1990	LR: 0.100000
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Training Epoch: 5 [27136/46250]	Loss: 0.1361	LR: 0.100000
Training Epoch: 5 [27392/46250]	Loss: 0.1737	LR: 0.100000
Training Epoch: 5 [27648/46250]	Loss: 0.1587	LR: 0.100000
Training Epoch: 5 [27904/46250]	Loss: 0.2101	LR: 0.100000
Training Epoch: 5 [28160/46250]	Loss: 0.1662	LR: 0.100000
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Training Epoch: 5 [28928/46250]	Loss: 0.1256	LR: 0.100000
Training Epoch: 5 [29184/46250]	Loss: 0.1894	LR: 0.100000
Training Epoch: 5 [29440/46250]	Loss: 0.2165	LR: 0.100000
Training Epoch: 5 [29696/46250]	Loss: 0.2170	LR: 0.100000
Training Epoch: 5 [29952/46250]	Loss: 0.1939	LR: 0.100000
Training Epoch: 5 [30208/46250]	Loss: 0.1722	LR: 0.100000
Training Epoch: 5 [30464/46250]	Loss: 0.2609	LR: 0.100000
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Training Epoch: 5 [30976/46250]	Loss: 0.1579	LR: 0.100000
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Training Epoch: 5 [32256/46250]	Loss: 0.1577	LR: 0.100000
Training Epoch: 5 [32512/46250]	Loss: 0.0991	LR: 0.100000
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Training Epoch: 5 [34560/46250]	Loss: 0.1653	LR: 0.100000
Training Epoch: 5 [34816/46250]	Loss: 0.2337	LR: 0.100000
Training Epoch: 5 [35072/46250]	Loss: 0.1965	LR: 0.100000
Training Epoch: 5 [35328/46250]	Loss: 0.2049	LR: 0.100000
Training Epoch: 5 [35584/46250]	Loss: 0.2687	LR: 0.100000
Training Epoch: 5 [35840/46250]	Loss: 0.1692	LR: 0.100000
Training Epoch: 5 [36096/46250]	Loss: 0.1818	LR: 0.100000
Training Epoch: 5 [36352/46250]	Loss: 0.1605	LR: 0.100000
Training Epoch: 5 [36608/46250]	Loss: 0.1738	LR: 0.100000
Training Epoch: 5 [36864/46250]	Loss: 0.1715	LR: 0.100000
Training Epoch: 5 [37120/46250]	Loss: 0.1588	LR: 0.100000
Training Epoch: 5 [37376/46250]	Loss: 0.1791	LR: 0.100000
Training Epoch: 5 [37632/46250]	Loss: 0.1367	LR: 0.100000
Training Epoch: 5 [37888/46250]	Loss: 0.2052	LR: 0.100000
Training Epoch: 5 [38144/46250]	Loss: 0.1736	LR: 0.100000
Training Epoch: 5 [38400/46250]	Loss: 0.1965	LR: 0.100000
Training Epoch: 5 [38656/46250]	Loss: 0.1741	LR: 0.100000
Training Epoch: 5 [38912/46250]	Loss: 0.1224	LR: 0.100000
Training Epoch: 5 [39168/46250]	Loss: 0.1952	LR: 0.100000
Training Epoch: 5 [39424/46250]	Loss: 0.1367	LR: 0.100000
Training Epoch: 5 [39680/46250]	Loss: 0.1676	LR: 0.100000
Training Epoch: 5 [39936/46250]	Loss: 0.2049	LR: 0.100000
Training Epoch: 5 [40192/46250]	Loss: 0.2041	LR: 0.100000
Training Epoch: 5 [40448/46250]	Loss: 0.1852	LR: 0.100000
Training Epoch: 5 [40704/46250]	Loss: 0.2765	LR: 0.100000
Training Epoch: 5 [40960/46250]	Loss: 0.1270	LR: 0.100000
Training Epoch: 5 [41216/46250]	Loss: 0.2768	LR: 0.100000
Training Epoch: 5 [41472/46250]	Loss: 0.1441	LR: 0.100000
Training Epoch: 5 [41728/46250]	Loss: 0.0976	LR: 0.100000
Training Epoch: 5 [41984/46250]	Loss: 0.1445	LR: 0.100000
Training Epoch: 5 [42240/46250]	Loss: 0.1777	LR: 0.100000
Training Epoch: 5 [42496/46250]	Loss: 0.1365	LR: 0.100000
Training Epoch: 5 [42752/46250]	Loss: 0.1382	LR: 0.100000
Training Epoch: 5 [43008/46250]	Loss: 0.2496	LR: 0.100000
Training Epoch: 5 [43264/46250]	Loss: 0.1488	LR: 0.100000
Training Epoch: 5 [43520/46250]	Loss: 0.1407	LR: 0.100000
Training Epoch: 5 [43776/46250]	Loss: 0.2067	LR: 0.100000
Training Epoch: 5 [44032/46250]	Loss: 0.1821	LR: 0.100000
Training Epoch: 5 [44288/46250]	Loss: 0.1995	LR: 0.100000
Training Epoch: 5 [44544/46250]	Loss: 0.1908	LR: 0.100000
Training Epoch: 5 [44800/46250]	Loss: 0.1185	LR: 0.100000
Training Epoch: 5 [45056/46250]	Loss: 0.1678	LR: 0.100000
Training Epoch: 5 [45312/46250]	Loss: 0.1825	LR: 0.100000
Training Epoch: 5 [45568/46250]	Loss: 0.1679	LR: 0.100000
Training Epoch: 5 [45824/46250]	Loss: 0.1726	LR: 0.100000
Training Epoch: 5 [46080/46250]	Loss: 0.1952	LR: 0.100000
Training Epoch: 5 [46250/46250]	Loss: 0.1736	LR: 0.100000
Epoch 5 - Average Train Loss: 0.1793, Train Accuracy: 0.9392
Epoch 5 training time consumed: 334.39s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0008, Accuracy: 0.9344, Time consumed:23.54s
Training Epoch: 6 [256/46250]	Loss: 0.2029	LR: 0.100000
Training Epoch: 6 [512/46250]	Loss: 0.2636	LR: 0.100000
Training Epoch: 6 [768/46250]	Loss: 0.1873	LR: 0.100000
Training Epoch: 6 [1024/46250]	Loss: 0.1663	LR: 0.100000
Training Epoch: 6 [1280/46250]	Loss: 0.2178	LR: 0.100000
Training Epoch: 6 [1536/46250]	Loss: 0.1580	LR: 0.100000
Training Epoch: 6 [1792/46250]	Loss: 0.1513	LR: 0.100000
Training Epoch: 6 [2048/46250]	Loss: 0.1326	LR: 0.100000
Training Epoch: 6 [2304/46250]	Loss: 0.1335	LR: 0.100000
Training Epoch: 6 [2560/46250]	Loss: 0.2270	LR: 0.100000
Training Epoch: 6 [2816/46250]	Loss: 0.1341	LR: 0.100000
Training Epoch: 6 [3072/46250]	Loss: 0.1817	LR: 0.100000
Training Epoch: 6 [3328/46250]	Loss: 0.1882	LR: 0.100000
Training Epoch: 6 [3584/46250]	Loss: 0.1622	LR: 0.100000
Training Epoch: 6 [3840/46250]	Loss: 0.2079	LR: 0.100000
Training Epoch: 6 [4096/46250]	Loss: 0.1362	LR: 0.100000
Training Epoch: 6 [4352/46250]	Loss: 0.2138	LR: 0.100000
Training Epoch: 6 [4608/46250]	Loss: 0.1517	LR: 0.100000
Training Epoch: 6 [4864/46250]	Loss: 0.1635	LR: 0.100000
Training Epoch: 6 [5120/46250]	Loss: 0.1451	LR: 0.100000
Training Epoch: 6 [5376/46250]	Loss: 0.1459	LR: 0.100000
Training Epoch: 6 [5632/46250]	Loss: 0.1122	LR: 0.100000
Training Epoch: 6 [5888/46250]	Loss: 0.1127	LR: 0.100000
Training Epoch: 6 [6144/46250]	Loss: 0.1215	LR: 0.100000
Training Epoch: 6 [6400/46250]	Loss: 0.1316	LR: 0.100000
Training Epoch: 6 [6656/46250]	Loss: 0.1110	LR: 0.100000
Training Epoch: 6 [6912/46250]	Loss: 0.0988	LR: 0.100000
Training Epoch: 6 [7168/46250]	Loss: 0.1469	LR: 0.100000
Training Epoch: 6 [7424/46250]	Loss: 0.1354	LR: 0.100000
Training Epoch: 6 [7680/46250]	Loss: 0.0933	LR: 0.100000
Training Epoch: 6 [7936/46250]	Loss: 0.0823	LR: 0.100000
Training Epoch: 6 [8192/46250]	Loss: 0.1240	LR: 0.100000
Training Epoch: 6 [8448/46250]	Loss: 0.1908	LR: 0.100000
Training Epoch: 6 [8704/46250]	Loss: 0.1546	LR: 0.100000
Training Epoch: 6 [8960/46250]	Loss: 0.1373	LR: 0.100000
Training Epoch: 6 [9216/46250]	Loss: 0.1526	LR: 0.100000
Training Epoch: 6 [9472/46250]	Loss: 0.1109	LR: 0.100000
Training Epoch: 6 [9728/46250]	Loss: 0.0836	LR: 0.100000
Training Epoch: 6 [9984/46250]	Loss: 0.1317	LR: 0.100000
Training Epoch: 6 [10240/46250]	Loss: 0.1629	LR: 0.100000
Training Epoch: 6 [10496/46250]	Loss: 0.1855	LR: 0.100000
Training Epoch: 6 [10752/46250]	Loss: 0.1016	LR: 0.100000
Training Epoch: 6 [11008/46250]	Loss: 0.1021	LR: 0.100000
Training Epoch: 6 [11264/46250]	Loss: 0.1789	LR: 0.100000
Training Epoch: 6 [11520/46250]	Loss: 0.1494	LR: 0.100000
Training Epoch: 6 [11776/46250]	Loss: 0.1538	LR: 0.100000
Training Epoch: 6 [12032/46250]	Loss: 0.2489	LR: 0.100000
Training Epoch: 6 [12288/46250]	Loss: 0.1904	LR: 0.100000
Training Epoch: 6 [12544/46250]	Loss: 0.1467	LR: 0.100000
Training Epoch: 6 [12800/46250]	Loss: 0.1586	LR: 0.100000
Training Epoch: 6 [13056/46250]	Loss: 0.2218	LR: 0.100000
Training Epoch: 6 [13312/46250]	Loss: 0.1930	LR: 0.100000
Training Epoch: 6 [13568/46250]	Loss: 0.2160	LR: 0.100000
Training Epoch: 6 [13824/46250]	Loss: 0.1862	LR: 0.100000
Training Epoch: 6 [14080/46250]	Loss: 0.1505	LR: 0.100000
Training Epoch: 6 [14336/46250]	Loss: 0.1902	LR: 0.100000
Training Epoch: 6 [14592/46250]	Loss: 0.1374	LR: 0.100000
Training Epoch: 6 [14848/46250]	Loss: 0.1267	LR: 0.100000
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Training Epoch: 6 [15360/46250]	Loss: 0.1774	LR: 0.100000
Training Epoch: 6 [15616/46250]	Loss: 0.1757	LR: 0.100000
Training Epoch: 6 [15872/46250]	Loss: 0.1574	LR: 0.100000
Training Epoch: 6 [16128/46250]	Loss: 0.2038	LR: 0.100000
Training Epoch: 6 [16384/46250]	Loss: 0.2357	LR: 0.100000
Training Epoch: 6 [16640/46250]	Loss: 0.1178	LR: 0.100000
Training Epoch: 6 [16896/46250]	Loss: 0.2128	LR: 0.100000
Training Epoch: 6 [17152/46250]	Loss: 0.2265	LR: 0.100000
Training Epoch: 6 [17408/46250]	Loss: 0.1034	LR: 0.100000
Training Epoch: 6 [17664/46250]	Loss: 0.1597	LR: 0.100000
Training Epoch: 6 [17920/46250]	Loss: 0.2751	LR: 0.100000
Training Epoch: 6 [18176/46250]	Loss: 0.1745	LR: 0.100000
Training Epoch: 6 [18432/46250]	Loss: 0.2103	LR: 0.100000
Training Epoch: 6 [18688/46250]	Loss: 0.2237	LR: 0.100000
Training Epoch: 6 [18944/46250]	Loss: 0.1513	LR: 0.100000
Training Epoch: 6 [19200/46250]	Loss: 0.1122	LR: 0.100000
Training Epoch: 6 [19456/46250]	Loss: 0.1635	LR: 0.100000
Training Epoch: 6 [19712/46250]	Loss: 0.1635	LR: 0.100000
Training Epoch: 6 [19968/46250]	Loss: 0.1849	LR: 0.100000
Training Epoch: 6 [20224/46250]	Loss: 0.1887	LR: 0.100000
Training Epoch: 6 [20480/46250]	Loss: 0.1452	LR: 0.100000
Training Epoch: 6 [20736/46250]	Loss: 0.1436	LR: 0.100000
Training Epoch: 6 [20992/46250]	Loss: 0.2338	LR: 0.100000
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Training Epoch: 6 [21504/46250]	Loss: 0.1315	LR: 0.100000
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Training Epoch: 6 [22016/46250]	Loss: 0.1267	LR: 0.100000
Training Epoch: 6 [22272/46250]	Loss: 0.1443	LR: 0.100000
Training Epoch: 6 [22528/46250]	Loss: 0.1508	LR: 0.100000
Training Epoch: 6 [22784/46250]	Loss: 0.2067	LR: 0.100000
Training Epoch: 6 [23040/46250]	Loss: 0.1977	LR: 0.100000
Training Epoch: 6 [23296/46250]	Loss: 0.1292	LR: 0.100000
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Training Epoch: 6 [26880/46250]	Loss: 0.1627	LR: 0.100000
Training Epoch: 6 [27136/46250]	Loss: 0.1147	LR: 0.100000
Training Epoch: 6 [27392/46250]	Loss: 0.1868	LR: 0.100000
Training Epoch: 6 [27648/46250]	Loss: 0.2133	LR: 0.100000
Training Epoch: 6 [27904/46250]	Loss: 0.2603	LR: 0.100000
Training Epoch: 6 [28160/46250]	Loss: 0.1701	LR: 0.100000
Training Epoch: 6 [28416/46250]	Loss: 0.1899	LR: 0.100000
Training Epoch: 6 [28672/46250]	Loss: 0.1841	LR: 0.100000
Training Epoch: 6 [28928/46250]	Loss: 0.2154	LR: 0.100000
Training Epoch: 6 [29184/46250]	Loss: 0.2061	LR: 0.100000
Training Epoch: 6 [29440/46250]	Loss: 0.1631	LR: 0.100000
Training Epoch: 6 [29696/46250]	Loss: 0.2343	LR: 0.100000
Training Epoch: 6 [29952/46250]	Loss: 0.2488	LR: 0.100000
Training Epoch: 6 [30208/46250]	Loss: 0.2372	LR: 0.100000
Training Epoch: 6 [30464/46250]	Loss: 0.1376	LR: 0.100000
Training Epoch: 6 [30720/46250]	Loss: 0.2103	LR: 0.100000
Training Epoch: 6 [30976/46250]	Loss: 0.2164	LR: 0.100000
Training Epoch: 6 [31232/46250]	Loss: 0.1443	LR: 0.100000
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Training Epoch: 6 [35328/46250]	Loss: 0.1587	LR: 0.100000
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Training Epoch: 6 [36352/46250]	Loss: 0.1536	LR: 0.100000
Training Epoch: 6 [36608/46250]	Loss: 0.1416	LR: 0.100000
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Training Epoch: 6 [37120/46250]	Loss: 0.2193	LR: 0.100000
Training Epoch: 6 [37376/46250]	Loss: 0.1303	LR: 0.100000
Training Epoch: 6 [37632/46250]	Loss: 0.1675	LR: 0.100000
Training Epoch: 6 [37888/46250]	Loss: 0.1544	LR: 0.100000
Training Epoch: 6 [38144/46250]	Loss: 0.1223	LR: 0.100000
Training Epoch: 6 [38400/46250]	Loss: 0.1721	LR: 0.100000
Training Epoch: 6 [38656/46250]	Loss: 0.1707	LR: 0.100000
Training Epoch: 6 [38912/46250]	Loss: 0.1482	LR: 0.100000
Training Epoch: 6 [39168/46250]	Loss: 0.1760	LR: 0.100000
Training Epoch: 6 [39424/46250]	Loss: 0.2326	LR: 0.100000
Training Epoch: 6 [39680/46250]	Loss: 0.2665	LR: 0.100000
Training Epoch: 6 [39936/46250]	Loss: 0.1801	LR: 0.100000
Training Epoch: 6 [40192/46250]	Loss: 0.3278	LR: 0.100000
Training Epoch: 6 [40448/46250]	Loss: 0.2390	LR: 0.100000
Training Epoch: 6 [40704/46250]	Loss: 0.1141	LR: 0.100000
Training Epoch: 6 [40960/46250]	Loss: 0.2381	LR: 0.100000
Training Epoch: 6 [41216/46250]	Loss: 0.1293	LR: 0.100000
Training Epoch: 6 [41472/46250]	Loss: 0.3925	LR: 0.100000
Training Epoch: 6 [41728/46250]	Loss: 0.1805	LR: 0.100000
Training Epoch: 6 [41984/46250]	Loss: 0.2820	LR: 0.100000
Training Epoch: 6 [42240/46250]	Loss: 0.1588	LR: 0.100000
Training Epoch: 6 [42496/46250]	Loss: 0.1952	LR: 0.100000
Training Epoch: 6 [42752/46250]	Loss: 0.2146	LR: 0.100000
Training Epoch: 6 [43008/46250]	Loss: 0.2014	LR: 0.100000
Training Epoch: 6 [43264/46250]	Loss: 0.1752	LR: 0.100000
Training Epoch: 6 [43520/46250]	Loss: 0.1734	LR: 0.100000
Training Epoch: 6 [43776/46250]	Loss: 0.1952	LR: 0.100000
Training Epoch: 6 [44032/46250]	Loss: 0.2267	LR: 0.100000
Training Epoch: 6 [44288/46250]	Loss: 0.1813	LR: 0.100000
Training Epoch: 6 [44544/46250]	Loss: 0.1663	LR: 0.100000
Training Epoch: 6 [44800/46250]	Loss: 0.3510	LR: 0.100000
Training Epoch: 6 [45056/46250]	Loss: 0.1452	LR: 0.100000
Training Epoch: 6 [45312/46250]	Loss: 0.2003	LR: 0.100000
Training Epoch: 6 [45568/46250]	Loss: 0.2564	LR: 0.100000
Training Epoch: 6 [45824/46250]	Loss: 0.2371	LR: 0.100000
Training Epoch: 6 [46080/46250]	Loss: 0.2787	LR: 0.100000
Training Epoch: 6 [46250/46250]	Loss: 0.1354	LR: 0.100000
Epoch 6 - Average Train Loss: 0.1774, Train Accuracy: 0.9398
Epoch 6 training time consumed: 334.60s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0008, Accuracy: 0.9328, Time consumed:23.54s
Training Epoch: 7 [256/46250]	Loss: 0.2080	LR: 0.020000
Training Epoch: 7 [512/46250]	Loss: 0.2413	LR: 0.020000
Training Epoch: 7 [768/46250]	Loss: 0.1721	LR: 0.020000
Training Epoch: 7 [1024/46250]	Loss: 0.1573	LR: 0.020000
Training Epoch: 7 [1280/46250]	Loss: 0.1077	LR: 0.020000
Training Epoch: 7 [1536/46250]	Loss: 0.0792	LR: 0.020000
Training Epoch: 7 [1792/46250]	Loss: 0.0957	LR: 0.020000
Training Epoch: 7 [2048/46250]	Loss: 0.0984	LR: 0.020000
Training Epoch: 7 [2304/46250]	Loss: 0.1076	LR: 0.020000
Training Epoch: 7 [2560/46250]	Loss: 0.1036	LR: 0.020000
Training Epoch: 7 [2816/46250]	Loss: 0.1475	LR: 0.020000
Training Epoch: 7 [3072/46250]	Loss: 0.0473	LR: 0.020000
Training Epoch: 7 [3328/46250]	Loss: 0.0623	LR: 0.020000
Training Epoch: 7 [3584/46250]	Loss: 0.0844	LR: 0.020000
Training Epoch: 7 [3840/46250]	Loss: 0.0849	LR: 0.020000
Training Epoch: 7 [4096/46250]	Loss: 0.0674	LR: 0.020000
Training Epoch: 7 [4352/46250]	Loss: 0.0519	LR: 0.020000
Training Epoch: 7 [4608/46250]	Loss: 0.0753	LR: 0.020000
Training Epoch: 7 [4864/46250]	Loss: 0.0524	LR: 0.020000
Training Epoch: 7 [5120/46250]	Loss: 0.0638	LR: 0.020000
Training Epoch: 7 [5376/46250]	Loss: 0.0427	LR: 0.020000
Training Epoch: 7 [5632/46250]	Loss: 0.1298	LR: 0.020000
Training Epoch: 7 [5888/46250]	Loss: 0.0947	LR: 0.020000
Training Epoch: 7 [6144/46250]	Loss: 0.0524	LR: 0.020000
Training Epoch: 7 [6400/46250]	Loss: 0.1005	LR: 0.020000
Training Epoch: 7 [6656/46250]	Loss: 0.0445	LR: 0.020000
Training Epoch: 7 [6912/46250]	Loss: 0.0594	LR: 0.020000
Training Epoch: 7 [7168/46250]	Loss: 0.0413	LR: 0.020000
Training Epoch: 7 [7424/46250]	Loss: 0.0828	LR: 0.020000
Training Epoch: 7 [7680/46250]	Loss: 0.0677	LR: 0.020000
Training Epoch: 7 [7936/46250]	Loss: 0.0517	LR: 0.020000
Training Epoch: 7 [8192/46250]	Loss: 0.0492	LR: 0.020000
Training Epoch: 7 [8448/46250]	Loss: 0.0826	LR: 0.020000
Training Epoch: 7 [8704/46250]	Loss: 0.0678	LR: 0.020000
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Training Epoch: 7 [10496/46250]	Loss: 0.0704	LR: 0.020000
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Training Epoch: 7 [11008/46250]	Loss: 0.0652	LR: 0.020000
Training Epoch: 7 [11264/46250]	Loss: 0.0716	LR: 0.020000
Training Epoch: 7 [11520/46250]	Loss: 0.0881	LR: 0.020000
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Training Epoch: 7 [12032/46250]	Loss: 0.0504	LR: 0.020000
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Training Epoch: 7 [12544/46250]	Loss: 0.0971	LR: 0.020000
Training Epoch: 7 [12800/46250]	Loss: 0.0658	LR: 0.020000
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Training Epoch: 7 [15872/46250]	Loss: 0.0598	LR: 0.020000
Training Epoch: 7 [16128/46250]	Loss: 0.0946	LR: 0.020000
Training Epoch: 7 [16384/46250]	Loss: 0.0681	LR: 0.020000
Training Epoch: 7 [16640/46250]	Loss: 0.0380	LR: 0.020000
Training Epoch: 7 [16896/46250]	Loss: 0.0363	LR: 0.020000
Training Epoch: 7 [17152/46250]	Loss: 0.0780	LR: 0.020000
Training Epoch: 7 [17408/46250]	Loss: 0.0205	LR: 0.020000
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Training Epoch: 7 [18432/46250]	Loss: 0.0416	LR: 0.020000
Training Epoch: 7 [18688/46250]	Loss: 0.0820	LR: 0.020000
Training Epoch: 7 [18944/46250]	Loss: 0.0736	LR: 0.020000
Training Epoch: 7 [19200/46250]	Loss: 0.0768	LR: 0.020000
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Training Epoch: 7 [43776/46250]	Loss: 0.0395	LR: 0.020000
Training Epoch: 7 [44032/46250]	Loss: 0.0599	LR: 0.020000
Training Epoch: 7 [44288/46250]	Loss: 0.0374	LR: 0.020000
Training Epoch: 7 [44544/46250]	Loss: 0.0339	LR: 0.020000
Training Epoch: 7 [44800/46250]	Loss: 0.0689	LR: 0.020000
Training Epoch: 7 [45056/46250]	Loss: 0.0225	LR: 0.020000
Training Epoch: 7 [45312/46250]	Loss: 0.0612	LR: 0.020000
Training Epoch: 7 [45568/46250]	Loss: 0.0493	LR: 0.020000
Training Epoch: 7 [45824/46250]	Loss: 0.0409	LR: 0.020000
Training Epoch: 7 [46080/46250]	Loss: 0.0601	LR: 0.020000
Training Epoch: 7 [46250/46250]	Loss: 0.0554	LR: 0.020000
Epoch 7 - Average Train Loss: 0.0623, Train Accuracy: 0.9785
Epoch 7 training time consumed: 334.26s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0003, Accuracy: 0.9739, Time consumed:23.57s
Saving weights file to checkpoint/retrain/ViT/Friday_18_July_2025_07h_31m_38s/ViT-Cifar10-seed10-ret25-7-best.pth
Training Epoch: 8 [256/46250]	Loss: 0.0305	LR: 0.020000
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Training Epoch: 8 [45824/46250]	Loss: 0.0086	LR: 0.020000
Training Epoch: 8 [46080/46250]	Loss: 0.0265	LR: 0.020000
Training Epoch: 8 [46250/46250]	Loss: 0.0247	LR: 0.020000
Epoch 8 - Average Train Loss: 0.0367, Train Accuracy: 0.9872
Epoch 8 training time consumed: 335.76s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0004, Accuracy: 0.9719, Time consumed:23.71s
Valid (Test) Dl:  10000
Train Dl:  50000
Retain Train Dl:  46250
Forget Train Dl:  3750
Retain Valid Dl:  46250
Forget Valid Dl:  3750
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 3750 samples
Set1 Distribution: 3750 samples
Set2 Distribution: 3750 samples
Set1 Distribution: 3750 samples
Set2 Distribution: 3750 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Test Accuracy: 97.109375
Retain Accuracy: 98.75472259521484
Zero-Retain Forget (ZRF): 0.7727000713348389
Membership Inference Attack (MIA): 0.16533333333333333
Forget vs Retain Membership Inference Attack (MIA): 0.5133333333333333
Forget vs Test Membership Inference Attack (MIA): 0.534
Test vs Retain Membership Inference Attack (MIA): 0.51725
Train vs Test Membership Inference Attack (MIA): 0.51425
Forget Set Accuracy (Df): 96.02535247802734
Method Execution Time: 5359.66 seconds
