hello
hello

📌S Retain class distribution for seed 9:
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 9:
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: 2.4033	LR: 0.000000
Training Epoch: 1 [512/46250]	Loss: 2.4206	LR: 0.000552
Training Epoch: 1 [768/46250]	Loss: 2.3988	LR: 0.001105
Training Epoch: 1 [1024/46250]	Loss: 2.3956	LR: 0.001657
Training Epoch: 1 [1280/46250]	Loss: 2.3126	LR: 0.002210
Training Epoch: 1 [1536/46250]	Loss: 2.2546	LR: 0.002762
Training Epoch: 1 [1792/46250]	Loss: 2.0811	LR: 0.003315
Training Epoch: 1 [2048/46250]	Loss: 1.9326	LR: 0.003867
Training Epoch: 1 [2304/46250]	Loss: 1.7287	LR: 0.004420
Training Epoch: 1 [2560/46250]	Loss: 1.5803	LR: 0.004972
Training Epoch: 1 [2816/46250]	Loss: 1.3213	LR: 0.005525
Training Epoch: 1 [3072/46250]	Loss: 1.0903	LR: 0.006077
Training Epoch: 1 [3328/46250]	Loss: 0.9324	LR: 0.006630
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Training Epoch: 1 [5888/46250]	Loss: 0.2729	LR: 0.012155
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Training Epoch: 1 [8448/46250]	Loss: 0.1988	LR: 0.017680
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Training Epoch: 1 [8960/46250]	Loss: 0.1563	LR: 0.018785
Training Epoch: 1 [9216/46250]	Loss: 0.2119	LR: 0.019337
Training Epoch: 1 [9472/46250]	Loss: 0.1907	LR: 0.019890
Training Epoch: 1 [9728/46250]	Loss: 0.2503	LR: 0.020442
Training Epoch: 1 [9984/46250]	Loss: 0.1772	LR: 0.020994
Training Epoch: 1 [10240/46250]	Loss: 0.2014	LR: 0.021547
Training Epoch: 1 [10496/46250]	Loss: 0.3893	LR: 0.022099
Training Epoch: 1 [10752/46250]	Loss: 0.3382	LR: 0.022652
Training Epoch: 1 [11008/46250]	Loss: 0.2021	LR: 0.023204
Training Epoch: 1 [11264/46250]	Loss: 0.2169	LR: 0.023757
Training Epoch: 1 [11520/46250]	Loss: 0.2146	LR: 0.024309
Training Epoch: 1 [11776/46250]	Loss: 0.2057	LR: 0.024862
Training Epoch: 1 [12032/46250]	Loss: 0.1811	LR: 0.025414
Training Epoch: 1 [12288/46250]	Loss: 0.2367	LR: 0.025967
Training Epoch: 1 [12544/46250]	Loss: 0.3445	LR: 0.026519
Training Epoch: 1 [12800/46250]	Loss: 0.2163	LR: 0.027072
Training Epoch: 1 [13056/46250]	Loss: 0.2736	LR: 0.027624
Training Epoch: 1 [13312/46250]	Loss: 0.1807	LR: 0.028177
Training Epoch: 1 [13568/46250]	Loss: 0.1972	LR: 0.028729
Training Epoch: 1 [13824/46250]	Loss: 0.2543	LR: 0.029282
Training Epoch: 1 [14080/46250]	Loss: 0.2730	LR: 0.029834
Training Epoch: 1 [14336/46250]	Loss: 0.2293	LR: 0.030387
Training Epoch: 1 [14592/46250]	Loss: 0.1027	LR: 0.030939
Training Epoch: 1 [14848/46250]	Loss: 0.2812	LR: 0.031492
Training Epoch: 1 [15104/46250]	Loss: 0.1981	LR: 0.032044
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Training Epoch: 1 [15616/46250]	Loss: 0.1878	LR: 0.033149
Training Epoch: 1 [15872/46250]	Loss: 0.2799	LR: 0.033702
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Training Epoch: 1 [16384/46250]	Loss: 0.2143	LR: 0.034807
Training Epoch: 1 [16640/46250]	Loss: 0.2287	LR: 0.035359
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Training Epoch: 1 [19712/46250]	Loss: 0.1537	LR: 0.041989
Training Epoch: 1 [19968/46250]	Loss: 0.2177	LR: 0.042541
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Training Epoch: 1 [20480/46250]	Loss: 0.2953	LR: 0.043646
Training Epoch: 1 [20736/46250]	Loss: 0.1195	LR: 0.044199
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Training Epoch: 1 [22016/46250]	Loss: 0.3567	LR: 0.046961
Training Epoch: 1 [22272/46250]	Loss: 0.2858	LR: 0.047514
Training Epoch: 1 [22528/46250]	Loss: 0.2729	LR: 0.048066
Training Epoch: 1 [22784/46250]	Loss: 0.3236	LR: 0.048619
Training Epoch: 1 [23040/46250]	Loss: 0.3067	LR: 0.049171
Training Epoch: 1 [23296/46250]	Loss: 0.2675	LR: 0.049724
Training Epoch: 1 [23552/46250]	Loss: 0.2677	LR: 0.050276
Training Epoch: 1 [23808/46250]	Loss: 0.2316	LR: 0.050829
Training Epoch: 1 [24064/46250]	Loss: 0.4196	LR: 0.051381
Training Epoch: 1 [24320/46250]	Loss: 0.2746	LR: 0.051934
Training Epoch: 1 [24576/46250]	Loss: 0.4514	LR: 0.052486
Training Epoch: 1 [24832/46250]	Loss: 0.5216	LR: 0.053039
Training Epoch: 1 [25088/46250]	Loss: 0.2302	LR: 0.053591
Training Epoch: 1 [25344/46250]	Loss: 0.4289	LR: 0.054144
Training Epoch: 1 [25600/46250]	Loss: 0.2308	LR: 0.054696
Training Epoch: 1 [25856/46250]	Loss: 0.3178	LR: 0.055249
Training Epoch: 1 [26112/46250]	Loss: 0.4170	LR: 0.055801
Training Epoch: 1 [26368/46250]	Loss: 0.2950	LR: 0.056354
Training Epoch: 1 [26624/46250]	Loss: 0.3707	LR: 0.056906
Training Epoch: 1 [26880/46250]	Loss: 0.4198	LR: 0.057459
Training Epoch: 1 [27136/46250]	Loss: 0.4850	LR: 0.058011
Training Epoch: 1 [27392/46250]	Loss: 0.7410	LR: 0.058564
Training Epoch: 1 [27648/46250]	Loss: 0.8034	LR: 0.059116
Training Epoch: 1 [27904/46250]	Loss: 1.0941	LR: 0.059669
Training Epoch: 1 [28160/46250]	Loss: 0.4456	LR: 0.060221
Training Epoch: 1 [28416/46250]	Loss: 0.8911	LR: 0.060773
Training Epoch: 1 [28672/46250]	Loss: 0.5474	LR: 0.061326
Training Epoch: 1 [28928/46250]	Loss: 0.7061	LR: 0.061878
Training Epoch: 1 [29184/46250]	Loss: 0.5366	LR: 0.062431
Training Epoch: 1 [29440/46250]	Loss: 0.3458	LR: 0.062983
Training Epoch: 1 [29696/46250]	Loss: 0.5672	LR: 0.063536
Training Epoch: 1 [29952/46250]	Loss: 0.5524	LR: 0.064088
Training Epoch: 1 [30208/46250]	Loss: 0.3671	LR: 0.064641
Training Epoch: 1 [30464/46250]	Loss: 0.4558	LR: 0.065193
Training Epoch: 1 [30720/46250]	Loss: 0.4426	LR: 0.065746
Training Epoch: 1 [30976/46250]	Loss: 0.4598	LR: 0.066298
Training Epoch: 1 [31232/46250]	Loss: 0.3862	LR: 0.066851
Training Epoch: 1 [31488/46250]	Loss: 0.6706	LR: 0.067403
Training Epoch: 1 [31744/46250]	Loss: 0.5794	LR: 0.067956
Training Epoch: 1 [32000/46250]	Loss: 0.4674	LR: 0.068508
Training Epoch: 1 [32256/46250]	Loss: 0.5000	LR: 0.069061
Training Epoch: 1 [32512/46250]	Loss: 0.4679	LR: 0.069613
Training Epoch: 1 [32768/46250]	Loss: 0.4792	LR: 0.070166
Training Epoch: 1 [33024/46250]	Loss: 0.3657	LR: 0.070718
Training Epoch: 1 [33280/46250]	Loss: 0.3313	LR: 0.071271
Training Epoch: 1 [33536/46250]	Loss: 0.4296	LR: 0.071823
Training Epoch: 1 [33792/46250]	Loss: 0.3613	LR: 0.072376
Training Epoch: 1 [34048/46250]	Loss: 0.3534	LR: 0.072928
Training Epoch: 1 [34304/46250]	Loss: 0.4862	LR: 0.073481
Training Epoch: 1 [34560/46250]	Loss: 0.3630	LR: 0.074033
Training Epoch: 1 [34816/46250]	Loss: 0.3989	LR: 0.074586
Training Epoch: 1 [35072/46250]	Loss: 0.2705	LR: 0.075138
Training Epoch: 1 [35328/46250]	Loss: 0.3355	LR: 0.075691
Training Epoch: 1 [35584/46250]	Loss: 0.2852	LR: 0.076243
Training Epoch: 1 [35840/46250]	Loss: 0.3354	LR: 0.076796
Training Epoch: 1 [36096/46250]	Loss: 0.2362	LR: 0.077348
Training Epoch: 1 [36352/46250]	Loss: 0.3125	LR: 0.077901
Training Epoch: 1 [36608/46250]	Loss: 0.3489	LR: 0.078453
Training Epoch: 1 [36864/46250]	Loss: 0.3559	LR: 0.079006
Training Epoch: 1 [37120/46250]	Loss: 0.3543	LR: 0.079558
Training Epoch: 1 [37376/46250]	Loss: 0.3311	LR: 0.080110
Training Epoch: 1 [37632/46250]	Loss: 0.4200	LR: 0.080663
Training Epoch: 1 [37888/46250]	Loss: 0.5518	LR: 0.081215
Training Epoch: 1 [38144/46250]	Loss: 0.4740	LR: 0.081768
Training Epoch: 1 [38400/46250]	Loss: 0.6228	LR: 0.082320
Training Epoch: 1 [38656/46250]	Loss: 0.4395	LR: 0.082873
Training Epoch: 1 [38912/46250]	Loss: 0.4363	LR: 0.083425
Training Epoch: 1 [39168/46250]	Loss: 0.4603	LR: 0.083978
Training Epoch: 1 [39424/46250]	Loss: 0.4209	LR: 0.084530
Training Epoch: 1 [39680/46250]	Loss: 0.2949	LR: 0.085083
Training Epoch: 1 [39936/46250]	Loss: 0.4764	LR: 0.085635
Training Epoch: 1 [40192/46250]	Loss: 0.3155	LR: 0.086188
Training Epoch: 1 [40448/46250]	Loss: 0.4531	LR: 0.086740
Training Epoch: 1 [40704/46250]	Loss: 0.4639	LR: 0.087293
Training Epoch: 1 [40960/46250]	Loss: 0.3039	LR: 0.087845
Training Epoch: 1 [41216/46250]	Loss: 0.3597	LR: 0.088398
Training Epoch: 1 [41472/46250]	Loss: 0.1955	LR: 0.088950
Training Epoch: 1 [41728/46250]	Loss: 0.2710	LR: 0.089503
Training Epoch: 1 [41984/46250]	Loss: 0.3811	LR: 0.090055
Training Epoch: 1 [42240/46250]	Loss: 0.2068	LR: 0.090608
Training Epoch: 1 [42496/46250]	Loss: 0.4967	LR: 0.091160
Training Epoch: 1 [42752/46250]	Loss: 0.3307	LR: 0.091713
Training Epoch: 1 [43008/46250]	Loss: 0.3944	LR: 0.092265
Training Epoch: 1 [43264/46250]	Loss: 0.3901	LR: 0.092818
Training Epoch: 1 [43520/46250]	Loss: 0.3431	LR: 0.093370
Training Epoch: 1 [43776/46250]	Loss: 0.3085	LR: 0.093923
Training Epoch: 1 [44032/46250]	Loss: 0.2680	LR: 0.094475
Training Epoch: 1 [44288/46250]	Loss: 0.3830	LR: 0.095028
Training Epoch: 1 [44544/46250]	Loss: 0.3161	LR: 0.095580
Training Epoch: 1 [44800/46250]	Loss: 0.2828	LR: 0.096133
Training Epoch: 1 [45056/46250]	Loss: 0.3138	LR: 0.096685
Training Epoch: 1 [45312/46250]	Loss: 0.3371	LR: 0.097238
Training Epoch: 1 [45568/46250]	Loss: 0.2904	LR: 0.097790
Training Epoch: 1 [45824/46250]	Loss: 0.3029	LR: 0.098343
Training Epoch: 1 [46080/46250]	Loss: 0.3035	LR: 0.098895
Training Epoch: 1 [46250/46250]	Loss: 0.3124	LR: 0.099448
Epoch 1 - Average Train Loss: 0.4508, Train Accuracy: 0.8532
Epoch 1 training time consumed: 335.49s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0009, Accuracy: 0.9323, Time consumed:23.63s
Saving weights file to checkpoint/retrain/ViT/Friday_18_July_2025_06h_03m_37s/ViT-Cifar10-seed9-ret25-1-best.pth
Training Epoch: 2 [256/46250]	Loss: 0.2000	LR: 0.100000
Training Epoch: 2 [512/46250]	Loss: 0.3474	LR: 0.100000
Training Epoch: 2 [768/46250]	Loss: 0.3137	LR: 0.100000
Training Epoch: 2 [1024/46250]	Loss: 0.2430	LR: 0.100000
Training Epoch: 2 [1280/46250]	Loss: 0.2906	LR: 0.100000
Training Epoch: 2 [1536/46250]	Loss: 0.2457	LR: 0.100000
Training Epoch: 2 [1792/46250]	Loss: 0.2697	LR: 0.100000
Training Epoch: 2 [2048/46250]	Loss: 0.3200	LR: 0.100000
Training Epoch: 2 [2304/46250]	Loss: 0.2281	LR: 0.100000
Training Epoch: 2 [2560/46250]	Loss: 0.2672	LR: 0.100000
Training Epoch: 2 [2816/46250]	Loss: 0.4153	LR: 0.100000
Training Epoch: 2 [3072/46250]	Loss: 0.2081	LR: 0.100000
Training Epoch: 2 [3328/46250]	Loss: 0.2376	LR: 0.100000
Training Epoch: 2 [3584/46250]	Loss: 0.2842	LR: 0.100000
Training Epoch: 2 [3840/46250]	Loss: 0.2351	LR: 0.100000
Training Epoch: 2 [4096/46250]	Loss: 0.1894	LR: 0.100000
Training Epoch: 2 [4352/46250]	Loss: 0.2187	LR: 0.100000
Training Epoch: 2 [4608/46250]	Loss: 0.2942	LR: 0.100000
Training Epoch: 2 [4864/46250]	Loss: 0.2342	LR: 0.100000
Training Epoch: 2 [5120/46250]	Loss: 0.1617	LR: 0.100000
Training Epoch: 2 [5376/46250]	Loss: 0.1563	LR: 0.100000
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Training Epoch: 2 [5888/46250]	Loss: 0.2087	LR: 0.100000
Training Epoch: 2 [6144/46250]	Loss: 0.1957	LR: 0.100000
Training Epoch: 2 [6400/46250]	Loss: 0.2144	LR: 0.100000
Training Epoch: 2 [6656/46250]	Loss: 0.1989	LR: 0.100000
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Training Epoch: 2 [7168/46250]	Loss: 0.2164	LR: 0.100000
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Training Epoch: 2 [7936/46250]	Loss: 0.2453	LR: 0.100000
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Training Epoch: 2 [8448/46250]	Loss: 0.3175	LR: 0.100000
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Training Epoch: 2 [46080/46250]	Loss: 0.1905	LR: 0.100000
Training Epoch: 2 [46250/46250]	Loss: 0.1916	LR: 0.100000
Epoch 2 - Average Train Loss: 0.2072, Train Accuracy: 0.9312
Epoch 2 training time consumed: 334.81s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0005, Accuracy: 0.9584, Time consumed:23.66s
Saving weights file to checkpoint/retrain/ViT/Friday_18_July_2025_06h_03m_37s/ViT-Cifar10-seed9-ret25-2-best.pth
Training Epoch: 3 [256/46250]	Loss: 0.1656	LR: 0.100000
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Training Epoch: 3 [46250/46250]	Loss: 0.0762	LR: 0.100000
Epoch 3 - Average Train Loss: 0.1634, Train Accuracy: 0.9456
Epoch 3 training time consumed: 334.65s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0005, Accuracy: 0.9579, Time consumed:23.56s
Training Epoch: 4 [256/46250]	Loss: 0.1326	LR: 0.100000
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Training Epoch: 4 [1024/46250]	Loss: 0.1167	LR: 0.100000
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Training Epoch: 4 [6912/46250]	Loss: 0.1859	LR: 0.100000
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Training Epoch: 4 [11776/46250]	Loss: 0.1511	LR: 0.100000
Training Epoch: 4 [12032/46250]	Loss: 0.1668	LR: 0.100000
Training Epoch: 4 [12288/46250]	Loss: 0.1519	LR: 0.100000
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Training Epoch: 4 [12800/46250]	Loss: 0.1838	LR: 0.100000
Training Epoch: 4 [13056/46250]	Loss: 0.1300	LR: 0.100000
Training Epoch: 4 [13312/46250]	Loss: 0.1107	LR: 0.100000
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Training Epoch: 4 [16896/46250]	Loss: 0.1109	LR: 0.100000
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Training Epoch: 4 [17408/46250]	Loss: 0.1591	LR: 0.100000
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Training Epoch: 4 [18176/46250]	Loss: 0.1171	LR: 0.100000
Training Epoch: 4 [18432/46250]	Loss: 0.2127	LR: 0.100000
Training Epoch: 4 [18688/46250]	Loss: 0.1413	LR: 0.100000
Training Epoch: 4 [18944/46250]	Loss: 0.1222	LR: 0.100000
Training Epoch: 4 [19200/46250]	Loss: 0.1006	LR: 0.100000
Training Epoch: 4 [19456/46250]	Loss: 0.2128	LR: 0.100000
Training Epoch: 4 [19712/46250]	Loss: 0.2001	LR: 0.100000
Training Epoch: 4 [19968/46250]	Loss: 0.1954	LR: 0.100000
Training Epoch: 4 [20224/46250]	Loss: 0.0922	LR: 0.100000
Training Epoch: 4 [20480/46250]	Loss: 0.2029	LR: 0.100000
Training Epoch: 4 [20736/46250]	Loss: 0.1581	LR: 0.100000
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Training Epoch: 4 [21760/46250]	Loss: 0.1195	LR: 0.100000
Training Epoch: 4 [22016/46250]	Loss: 0.2539	LR: 0.100000
Training Epoch: 4 [22272/46250]	Loss: 0.1655	LR: 0.100000
Training Epoch: 4 [22528/46250]	Loss: 0.1331	LR: 0.100000
Training Epoch: 4 [22784/46250]	Loss: 0.1590	LR: 0.100000
Training Epoch: 4 [23040/46250]	Loss: 0.1619	LR: 0.100000
Training Epoch: 4 [23296/46250]	Loss: 0.1721	LR: 0.100000
Training Epoch: 4 [23552/46250]	Loss: 0.1249	LR: 0.100000
Training Epoch: 4 [23808/46250]	Loss: 0.1216	LR: 0.100000
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Training Epoch: 4 [24320/46250]	Loss: 0.1010	LR: 0.100000
Training Epoch: 4 [24576/46250]	Loss: 0.1172	LR: 0.100000
Training Epoch: 4 [24832/46250]	Loss: 0.1025	LR: 0.100000
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Training Epoch: 4 [25344/46250]	Loss: 0.1814	LR: 0.100000
Training Epoch: 4 [25600/46250]	Loss: 0.0898	LR: 0.100000
Training Epoch: 4 [25856/46250]	Loss: 0.1655	LR: 0.100000
Training Epoch: 4 [26112/46250]	Loss: 0.1660	LR: 0.100000
Training Epoch: 4 [26368/46250]	Loss: 0.1410	LR: 0.100000
Training Epoch: 4 [26624/46250]	Loss: 0.1588	LR: 0.100000
Training Epoch: 4 [26880/46250]	Loss: 0.1271	LR: 0.100000
Training Epoch: 4 [27136/46250]	Loss: 0.1835	LR: 0.100000
Training Epoch: 4 [27392/46250]	Loss: 0.1557	LR: 0.100000
Training Epoch: 4 [27648/46250]	Loss: 0.1096	LR: 0.100000
Training Epoch: 4 [27904/46250]	Loss: 0.1878	LR: 0.100000
Training Epoch: 4 [28160/46250]	Loss: 0.1083	LR: 0.100000
Training Epoch: 4 [28416/46250]	Loss: 0.1363	LR: 0.100000
Training Epoch: 4 [28672/46250]	Loss: 0.1068	LR: 0.100000
Training Epoch: 4 [28928/46250]	Loss: 0.1710	LR: 0.100000
Training Epoch: 4 [29184/46250]	Loss: 0.0991	LR: 0.100000
Training Epoch: 4 [29440/46250]	Loss: 0.1528	LR: 0.100000
Training Epoch: 4 [29696/46250]	Loss: 0.1728	LR: 0.100000
Training Epoch: 4 [29952/46250]	Loss: 0.1260	LR: 0.100000
Training Epoch: 4 [30208/46250]	Loss: 0.0781	LR: 0.100000
Training Epoch: 4 [30464/46250]	Loss: 0.1538	LR: 0.100000
Training Epoch: 4 [30720/46250]	Loss: 0.1456	LR: 0.100000
Training Epoch: 4 [30976/46250]	Loss: 0.2063	LR: 0.100000
Training Epoch: 4 [31232/46250]	Loss: 0.1442	LR: 0.100000
Training Epoch: 4 [31488/46250]	Loss: 0.0939	LR: 0.100000
Training Epoch: 4 [31744/46250]	Loss: 0.1948	LR: 0.100000
Training Epoch: 4 [32000/46250]	Loss: 0.1837	LR: 0.100000
Training Epoch: 4 [32256/46250]	Loss: 0.1818	LR: 0.100000
Training Epoch: 4 [32512/46250]	Loss: 0.1924	LR: 0.100000
Training Epoch: 4 [32768/46250]	Loss: 0.1534	LR: 0.100000
Training Epoch: 4 [33024/46250]	Loss: 0.2288	LR: 0.100000
Training Epoch: 4 [33280/46250]	Loss: 0.1244	LR: 0.100000
Training Epoch: 4 [33536/46250]	Loss: 0.1865	LR: 0.100000
Training Epoch: 4 [33792/46250]	Loss: 0.1551	LR: 0.100000
Training Epoch: 4 [34048/46250]	Loss: 0.1186	LR: 0.100000
Training Epoch: 4 [34304/46250]	Loss: 0.1371	LR: 0.100000
Training Epoch: 4 [34560/46250]	Loss: 0.1788	LR: 0.100000
Training Epoch: 4 [34816/46250]	Loss: 0.0868	LR: 0.100000
Training Epoch: 4 [35072/46250]	Loss: 0.1542	LR: 0.100000
Training Epoch: 4 [35328/46250]	Loss: 0.1615	LR: 0.100000
Training Epoch: 4 [35584/46250]	Loss: 0.2202	LR: 0.100000
Training Epoch: 4 [35840/46250]	Loss: 0.1827	LR: 0.100000
Training Epoch: 4 [36096/46250]	Loss: 0.1436	LR: 0.100000
Training Epoch: 4 [36352/46250]	Loss: 0.2402	LR: 0.100000
Training Epoch: 4 [36608/46250]	Loss: 0.1961	LR: 0.100000
Training Epoch: 4 [36864/46250]	Loss: 0.1240	LR: 0.100000
Training Epoch: 4 [37120/46250]	Loss: 0.1452	LR: 0.100000
Training Epoch: 4 [37376/46250]	Loss: 0.1867	LR: 0.100000
Training Epoch: 4 [37632/46250]	Loss: 0.1752	LR: 0.100000
Training Epoch: 4 [37888/46250]	Loss: 0.1579	LR: 0.100000
Training Epoch: 4 [38144/46250]	Loss: 0.3172	LR: 0.100000
Training Epoch: 4 [38400/46250]	Loss: 0.1912	LR: 0.100000
Training Epoch: 4 [38656/46250]	Loss: 0.1429	LR: 0.100000
Training Epoch: 4 [38912/46250]	Loss: 0.1256	LR: 0.100000
Training Epoch: 4 [39168/46250]	Loss: 0.1534	LR: 0.100000
Training Epoch: 4 [39424/46250]	Loss: 0.0969	LR: 0.100000
Training Epoch: 4 [39680/46250]	Loss: 0.1847	LR: 0.100000
Training Epoch: 4 [39936/46250]	Loss: 0.1843	LR: 0.100000
Training Epoch: 4 [40192/46250]	Loss: 0.2009	LR: 0.100000
Training Epoch: 4 [40448/46250]	Loss: 0.2229	LR: 0.100000
Training Epoch: 4 [40704/46250]	Loss: 0.1824	LR: 0.100000
Training Epoch: 4 [40960/46250]	Loss: 0.2071	LR: 0.100000
Training Epoch: 4 [41216/46250]	Loss: 0.1594	LR: 0.100000
Training Epoch: 4 [41472/46250]	Loss: 0.1661	LR: 0.100000
Training Epoch: 4 [41728/46250]	Loss: 0.1494	LR: 0.100000
Training Epoch: 4 [41984/46250]	Loss: 0.1301	LR: 0.100000
Training Epoch: 4 [42240/46250]	Loss: 0.1864	LR: 0.100000
Training Epoch: 4 [42496/46250]	Loss: 0.2740	LR: 0.100000
Training Epoch: 4 [42752/46250]	Loss: 0.1474	LR: 0.100000
Training Epoch: 4 [43008/46250]	Loss: 0.1220	LR: 0.100000
Training Epoch: 4 [43264/46250]	Loss: 0.1535	LR: 0.100000
Training Epoch: 4 [43520/46250]	Loss: 0.1219	LR: 0.100000
Training Epoch: 4 [43776/46250]	Loss: 0.1791	LR: 0.100000
Training Epoch: 4 [44032/46250]	Loss: 0.1611	LR: 0.100000
Training Epoch: 4 [44288/46250]	Loss: 0.1696	LR: 0.100000
Training Epoch: 4 [44544/46250]	Loss: 0.1257	LR: 0.100000
Training Epoch: 4 [44800/46250]	Loss: 0.1252	LR: 0.100000
Training Epoch: 4 [45056/46250]	Loss: 0.1488	LR: 0.100000
Training Epoch: 4 [45312/46250]	Loss: 0.1656	LR: 0.100000
Training Epoch: 4 [45568/46250]	Loss: 0.1827	LR: 0.100000
Training Epoch: 4 [45824/46250]	Loss: 0.1925	LR: 0.100000
Training Epoch: 4 [46080/46250]	Loss: 0.1601	LR: 0.100000
Training Epoch: 4 [46250/46250]	Loss: 0.0930	LR: 0.100000
Epoch 4 - Average Train Loss: 0.1532, Train Accuracy: 0.9495
Epoch 4 training time consumed: 334.28s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0005, Accuracy: 0.9564, Time consumed:23.52s
Training Epoch: 5 [256/46250]	Loss: 0.0943	LR: 0.100000
Training Epoch: 5 [512/46250]	Loss: 0.1657	LR: 0.100000
Training Epoch: 5 [768/46250]	Loss: 0.0989	LR: 0.100000
Training Epoch: 5 [1024/46250]	Loss: 0.1422	LR: 0.100000
Training Epoch: 5 [1280/46250]	Loss: 0.1053	LR: 0.100000
Training Epoch: 5 [1536/46250]	Loss: 0.1292	LR: 0.100000
Training Epoch: 5 [1792/46250]	Loss: 0.1092	LR: 0.100000
Training Epoch: 5 [2048/46250]	Loss: 0.1958	LR: 0.100000
Training Epoch: 5 [2304/46250]	Loss: 0.1531	LR: 0.100000
Training Epoch: 5 [2560/46250]	Loss: 0.0547	LR: 0.100000
Training Epoch: 5 [2816/46250]	Loss: 0.0841	LR: 0.100000
Training Epoch: 5 [3072/46250]	Loss: 0.1236	LR: 0.100000
Training Epoch: 5 [3328/46250]	Loss: 0.1851	LR: 0.100000
Training Epoch: 5 [3584/46250]	Loss: 0.1691	LR: 0.100000
Training Epoch: 5 [3840/46250]	Loss: 0.1533	LR: 0.100000
Training Epoch: 5 [4096/46250]	Loss: 0.1251	LR: 0.100000
Training Epoch: 5 [4352/46250]	Loss: 0.1041	LR: 0.100000
Training Epoch: 5 [4608/46250]	Loss: 0.1010	LR: 0.100000
Training Epoch: 5 [4864/46250]	Loss: 0.1877	LR: 0.100000
Training Epoch: 5 [5120/46250]	Loss: 0.0756	LR: 0.100000
Training Epoch: 5 [5376/46250]	Loss: 0.2120	LR: 0.100000
Training Epoch: 5 [5632/46250]	Loss: 0.1648	LR: 0.100000
Training Epoch: 5 [5888/46250]	Loss: 0.1918	LR: 0.100000
Training Epoch: 5 [6144/46250]	Loss: 0.2204	LR: 0.100000
Training Epoch: 5 [6400/46250]	Loss: 0.1756	LR: 0.100000
Training Epoch: 5 [6656/46250]	Loss: 0.1102	LR: 0.100000
Training Epoch: 5 [6912/46250]	Loss: 0.0840	LR: 0.100000
Training Epoch: 5 [7168/46250]	Loss: 0.1608	LR: 0.100000
Training Epoch: 5 [7424/46250]	Loss: 0.1489	LR: 0.100000
Training Epoch: 5 [7680/46250]	Loss: 0.1401	LR: 0.100000
Training Epoch: 5 [7936/46250]	Loss: 0.2239	LR: 0.100000
Training Epoch: 5 [8192/46250]	Loss: 0.1342	LR: 0.100000
Training Epoch: 5 [8448/46250]	Loss: 0.1634	LR: 0.100000
Training Epoch: 5 [8704/46250]	Loss: 0.1908	LR: 0.100000
Training Epoch: 5 [8960/46250]	Loss: 0.1368	LR: 0.100000
Training Epoch: 5 [9216/46250]	Loss: 0.0819	LR: 0.100000
Training Epoch: 5 [9472/46250]	Loss: 0.1116	LR: 0.100000
Training Epoch: 5 [9728/46250]	Loss: 0.1126	LR: 0.100000
Training Epoch: 5 [9984/46250]	Loss: 0.1182	LR: 0.100000
Training Epoch: 5 [10240/46250]	Loss: 0.1642	LR: 0.100000
Training Epoch: 5 [10496/46250]	Loss: 0.2053	LR: 0.100000
Training Epoch: 5 [10752/46250]	Loss: 0.1624	LR: 0.100000
Training Epoch: 5 [11008/46250]	Loss: 0.1015	LR: 0.100000
Training Epoch: 5 [11264/46250]	Loss: 0.0545	LR: 0.100000
Training Epoch: 5 [11520/46250]	Loss: 0.1997	LR: 0.100000
Training Epoch: 5 [11776/46250]	Loss: 0.1550	LR: 0.100000
Training Epoch: 5 [12032/46250]	Loss: 0.1639	LR: 0.100000
Training Epoch: 5 [12288/46250]	Loss: 0.1578	LR: 0.100000
Training Epoch: 5 [12544/46250]	Loss: 0.1080	LR: 0.100000
Training Epoch: 5 [12800/46250]	Loss: 0.2003	LR: 0.100000
Training Epoch: 5 [13056/46250]	Loss: 0.1952	LR: 0.100000
Training Epoch: 5 [13312/46250]	Loss: 0.2131	LR: 0.100000
Training Epoch: 5 [13568/46250]	Loss: 0.2030	LR: 0.100000
Training Epoch: 5 [13824/46250]	Loss: 0.1584	LR: 0.100000
Training Epoch: 5 [14080/46250]	Loss: 0.1618	LR: 0.100000
Training Epoch: 5 [14336/46250]	Loss: 0.1518	LR: 0.100000
Training Epoch: 5 [14592/46250]	Loss: 0.1257	LR: 0.100000
Training Epoch: 5 [14848/46250]	Loss: 0.1425	LR: 0.100000
Training Epoch: 5 [15104/46250]	Loss: 0.1573	LR: 0.100000
Training Epoch: 5 [15360/46250]	Loss: 0.2020	LR: 0.100000
Training Epoch: 5 [15616/46250]	Loss: 0.1480	LR: 0.100000
Training Epoch: 5 [15872/46250]	Loss: 0.1304	LR: 0.100000
Training Epoch: 5 [16128/46250]	Loss: 0.1314	LR: 0.100000
Training Epoch: 5 [16384/46250]	Loss: 0.1019	LR: 0.100000
Training Epoch: 5 [16640/46250]	Loss: 0.1389	LR: 0.100000
Training Epoch: 5 [16896/46250]	Loss: 0.2077	LR: 0.100000
Training Epoch: 5 [17152/46250]	Loss: 0.1362	LR: 0.100000
Training Epoch: 5 [17408/46250]	Loss: 0.1045	LR: 0.100000
Training Epoch: 5 [17664/46250]	Loss: 0.1334	LR: 0.100000
Training Epoch: 5 [17920/46250]	Loss: 0.1193	LR: 0.100000
Training Epoch: 5 [18176/46250]	Loss: 0.0818	LR: 0.100000
Training Epoch: 5 [18432/46250]	Loss: 0.0906	LR: 0.100000
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Training Epoch: 5 [18944/46250]	Loss: 0.1565	LR: 0.100000
Training Epoch: 5 [19200/46250]	Loss: 0.1495	LR: 0.100000
Training Epoch: 5 [19456/46250]	Loss: 0.1933	LR: 0.100000
Training Epoch: 5 [19712/46250]	Loss: 0.1174	LR: 0.100000
Training Epoch: 5 [19968/46250]	Loss: 0.1435	LR: 0.100000
Training Epoch: 5 [20224/46250]	Loss: 0.0668	LR: 0.100000
Training Epoch: 5 [20480/46250]	Loss: 0.1542	LR: 0.100000
Training Epoch: 5 [20736/46250]	Loss: 0.1496	LR: 0.100000
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Training Epoch: 5 [22016/46250]	Loss: 0.1605	LR: 0.100000
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Training Epoch: 5 [22528/46250]	Loss: 0.1257	LR: 0.100000
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Training Epoch: 5 [23040/46250]	Loss: 0.1312	LR: 0.100000
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Training Epoch: 5 [23808/46250]	Loss: 0.1762	LR: 0.100000
Training Epoch: 5 [24064/46250]	Loss: 0.1927	LR: 0.100000
Training Epoch: 5 [24320/46250]	Loss: 0.1188	LR: 0.100000
Training Epoch: 5 [24576/46250]	Loss: 0.0855	LR: 0.100000
Training Epoch: 5 [24832/46250]	Loss: 0.1130	LR: 0.100000
Training Epoch: 5 [25088/46250]	Loss: 0.1937	LR: 0.100000
Training Epoch: 5 [25344/46250]	Loss: 0.1165	LR: 0.100000
Training Epoch: 5 [25600/46250]	Loss: 0.1561	LR: 0.100000
Training Epoch: 5 [25856/46250]	Loss: 0.1127	LR: 0.100000
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Training Epoch: 5 [26368/46250]	Loss: 0.1643	LR: 0.100000
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Training Epoch: 5 [27136/46250]	Loss: 0.1142	LR: 0.100000
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Training Epoch: 5 [28928/46250]	Loss: 0.1862	LR: 0.100000
Training Epoch: 5 [29184/46250]	Loss: 0.1059	LR: 0.100000
Training Epoch: 5 [29440/46250]	Loss: 0.0956	LR: 0.100000
Training Epoch: 5 [29696/46250]	Loss: 0.1239	LR: 0.100000
Training Epoch: 5 [29952/46250]	Loss: 0.1574	LR: 0.100000
Training Epoch: 5 [30208/46250]	Loss: 0.1015	LR: 0.100000
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Training Epoch: 5 [30976/46250]	Loss: 0.1473	LR: 0.100000
Training Epoch: 5 [31232/46250]	Loss: 0.1719	LR: 0.100000
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Training Epoch: 5 [32256/46250]	Loss: 0.0974	LR: 0.100000
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Training Epoch: 5 [34816/46250]	Loss: 0.1216	LR: 0.100000
Training Epoch: 5 [35072/46250]	Loss: 0.1608	LR: 0.100000
Training Epoch: 5 [35328/46250]	Loss: 0.2531	LR: 0.100000
Training Epoch: 5 [35584/46250]	Loss: 0.1201	LR: 0.100000
Training Epoch: 5 [35840/46250]	Loss: 0.1671	LR: 0.100000
Training Epoch: 5 [36096/46250]	Loss: 0.1469	LR: 0.100000
Training Epoch: 5 [36352/46250]	Loss: 0.1440	LR: 0.100000
Training Epoch: 5 [36608/46250]	Loss: 0.2996	LR: 0.100000
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Training Epoch: 5 [37120/46250]	Loss: 0.1353	LR: 0.100000
Training Epoch: 5 [37376/46250]	Loss: 0.1629	LR: 0.100000
Training Epoch: 5 [37632/46250]	Loss: 0.1978	LR: 0.100000
Training Epoch: 5 [37888/46250]	Loss: 0.2056	LR: 0.100000
Training Epoch: 5 [38144/46250]	Loss: 0.1495	LR: 0.100000
Training Epoch: 5 [38400/46250]	Loss: 0.1400	LR: 0.100000
Training Epoch: 5 [38656/46250]	Loss: 0.1036	LR: 0.100000
Training Epoch: 5 [38912/46250]	Loss: 0.1331	LR: 0.100000
Training Epoch: 5 [39168/46250]	Loss: 0.1630	LR: 0.100000
Training Epoch: 5 [39424/46250]	Loss: 0.1553	LR: 0.100000
Training Epoch: 5 [39680/46250]	Loss: 0.1997	LR: 0.100000
Training Epoch: 5 [39936/46250]	Loss: 0.1910	LR: 0.100000
Training Epoch: 5 [40192/46250]	Loss: 0.1322	LR: 0.100000
Training Epoch: 5 [40448/46250]	Loss: 0.2378	LR: 0.100000
Training Epoch: 5 [40704/46250]	Loss: 0.1201	LR: 0.100000
Training Epoch: 5 [40960/46250]	Loss: 0.1587	LR: 0.100000
Training Epoch: 5 [41216/46250]	Loss: 0.2226	LR: 0.100000
Training Epoch: 5 [41472/46250]	Loss: 0.1846	LR: 0.100000
Training Epoch: 5 [41728/46250]	Loss: 0.2269	LR: 0.100000
Training Epoch: 5 [41984/46250]	Loss: 0.1428	LR: 0.100000
Training Epoch: 5 [42240/46250]	Loss: 0.1824	LR: 0.100000
Training Epoch: 5 [42496/46250]	Loss: 0.1559	LR: 0.100000
Training Epoch: 5 [42752/46250]	Loss: 0.1397	LR: 0.100000
Training Epoch: 5 [43008/46250]	Loss: 0.1012	LR: 0.100000
Training Epoch: 5 [43264/46250]	Loss: 0.1088	LR: 0.100000
Training Epoch: 5 [43520/46250]	Loss: 0.1566	LR: 0.100000
Training Epoch: 5 [43776/46250]	Loss: 0.2317	LR: 0.100000
Training Epoch: 5 [44032/46250]	Loss: 0.1424	LR: 0.100000
Training Epoch: 5 [44288/46250]	Loss: 0.0850	LR: 0.100000
Training Epoch: 5 [44544/46250]	Loss: 0.1803	LR: 0.100000
Training Epoch: 5 [44800/46250]	Loss: 0.1915	LR: 0.100000
Training Epoch: 5 [45056/46250]	Loss: 0.2100	LR: 0.100000
Training Epoch: 5 [45312/46250]	Loss: 0.1999	LR: 0.100000
Training Epoch: 5 [45568/46250]	Loss: 0.1666	LR: 0.100000
Training Epoch: 5 [45824/46250]	Loss: 0.1655	LR: 0.100000
Training Epoch: 5 [46080/46250]	Loss: 0.1975	LR: 0.100000
Training Epoch: 5 [46250/46250]	Loss: 0.2177	LR: 0.100000
Epoch 5 - Average Train Loss: 0.1507, Train Accuracy: 0.9473
Epoch 5 training time consumed: 334.37s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0007, Accuracy: 0.9447, Time consumed:23.55s
Training Epoch: 6 [256/46250]	Loss: 0.1568	LR: 0.100000
Training Epoch: 6 [512/46250]	Loss: 0.1246	LR: 0.100000
Training Epoch: 6 [768/46250]	Loss: 0.1079	LR: 0.100000
Training Epoch: 6 [1024/46250]	Loss: 0.1250	LR: 0.100000
Training Epoch: 6 [1280/46250]	Loss: 0.1204	LR: 0.100000
Training Epoch: 6 [1536/46250]	Loss: 0.1750	LR: 0.100000
Training Epoch: 6 [1792/46250]	Loss: 0.1574	LR: 0.100000
Training Epoch: 6 [2048/46250]	Loss: 0.1365	LR: 0.100000
Training Epoch: 6 [2304/46250]	Loss: 0.1145	LR: 0.100000
Training Epoch: 6 [2560/46250]	Loss: 0.1572	LR: 0.100000
Training Epoch: 6 [2816/46250]	Loss: 0.1909	LR: 0.100000
Training Epoch: 6 [3072/46250]	Loss: 0.1163	LR: 0.100000
Training Epoch: 6 [3328/46250]	Loss: 0.1341	LR: 0.100000
Training Epoch: 6 [3584/46250]	Loss: 0.1531	LR: 0.100000
Training Epoch: 6 [3840/46250]	Loss: 0.1446	LR: 0.100000
Training Epoch: 6 [4096/46250]	Loss: 0.1439	LR: 0.100000
Training Epoch: 6 [4352/46250]	Loss: 0.0928	LR: 0.100000
Training Epoch: 6 [4608/46250]	Loss: 0.1163	LR: 0.100000
Training Epoch: 6 [4864/46250]	Loss: 0.1281	LR: 0.100000
Training Epoch: 6 [5120/46250]	Loss: 0.1038	LR: 0.100000
Training Epoch: 6 [5376/46250]	Loss: 0.1542	LR: 0.100000
Training Epoch: 6 [5632/46250]	Loss: 0.1858	LR: 0.100000
Training Epoch: 6 [5888/46250]	Loss: 0.1485	LR: 0.100000
Training Epoch: 6 [6144/46250]	Loss: 0.0909	LR: 0.100000
Training Epoch: 6 [6400/46250]	Loss: 0.0898	LR: 0.100000
Training Epoch: 6 [6656/46250]	Loss: 0.1371	LR: 0.100000
Training Epoch: 6 [6912/46250]	Loss: 0.1129	LR: 0.100000
Training Epoch: 6 [7168/46250]	Loss: 0.2135	LR: 0.100000
Training Epoch: 6 [7424/46250]	Loss: 0.1843	LR: 0.100000
Training Epoch: 6 [7680/46250]	Loss: 0.1592	LR: 0.100000
Training Epoch: 6 [7936/46250]	Loss: 0.2248	LR: 0.100000
Training Epoch: 6 [8192/46250]	Loss: 0.0717	LR: 0.100000
Training Epoch: 6 [8448/46250]	Loss: 0.1430	LR: 0.100000
Training Epoch: 6 [8704/46250]	Loss: 0.1437	LR: 0.100000
Training Epoch: 6 [8960/46250]	Loss: 0.1061	LR: 0.100000
Training Epoch: 6 [9216/46250]	Loss: 0.1051	LR: 0.100000
Training Epoch: 6 [9472/46250]	Loss: 0.0998	LR: 0.100000
Training Epoch: 6 [9728/46250]	Loss: 0.1901	LR: 0.100000
Training Epoch: 6 [9984/46250]	Loss: 0.1591	LR: 0.100000
Training Epoch: 6 [10240/46250]	Loss: 0.1331	LR: 0.100000
Training Epoch: 6 [10496/46250]	Loss: 0.1320	LR: 0.100000
Training Epoch: 6 [10752/46250]	Loss: 0.2079	LR: 0.100000
Training Epoch: 6 [11008/46250]	Loss: 0.1871	LR: 0.100000
Training Epoch: 6 [11264/46250]	Loss: 0.1869	LR: 0.100000
Training Epoch: 6 [11520/46250]	Loss: 0.1651	LR: 0.100000
Training Epoch: 6 [11776/46250]	Loss: 0.2231	LR: 0.100000
Training Epoch: 6 [12032/46250]	Loss: 0.1431	LR: 0.100000
Training Epoch: 6 [12288/46250]	Loss: 0.1179	LR: 0.100000
Training Epoch: 6 [12544/46250]	Loss: 0.2315	LR: 0.100000
Training Epoch: 6 [12800/46250]	Loss: 0.1133	LR: 0.100000
Training Epoch: 6 [13056/46250]	Loss: 0.1528	LR: 0.100000
Training Epoch: 6 [13312/46250]	Loss: 0.1064	LR: 0.100000
Training Epoch: 6 [13568/46250]	Loss: 0.1577	LR: 0.100000
Training Epoch: 6 [13824/46250]	Loss: 0.1878	LR: 0.100000
Training Epoch: 6 [14080/46250]	Loss: 0.1077	LR: 0.100000
Training Epoch: 6 [14336/46250]	Loss: 0.1225	LR: 0.100000
Training Epoch: 6 [14592/46250]	Loss: 0.3106	LR: 0.100000
Training Epoch: 6 [14848/46250]	Loss: 0.1528	LR: 0.100000
Training Epoch: 6 [15104/46250]	Loss: 0.1840	LR: 0.100000
Training Epoch: 6 [15360/46250]	Loss: 0.1537	LR: 0.100000
Training Epoch: 6 [15616/46250]	Loss: 0.2131	LR: 0.100000
Training Epoch: 6 [15872/46250]	Loss: 0.1207	LR: 0.100000
Training Epoch: 6 [16128/46250]	Loss: 0.2453	LR: 0.100000
Training Epoch: 6 [16384/46250]	Loss: 0.2291	LR: 0.100000
Training Epoch: 6 [16640/46250]	Loss: 0.2249	LR: 0.100000
Training Epoch: 6 [16896/46250]	Loss: 0.2136	LR: 0.100000
Training Epoch: 6 [17152/46250]	Loss: 0.1941	LR: 0.100000
Training Epoch: 6 [17408/46250]	Loss: 0.1457	LR: 0.100000
Training Epoch: 6 [17664/46250]	Loss: 0.1604	LR: 0.100000
Training Epoch: 6 [17920/46250]	Loss: 0.1617	LR: 0.100000
Training Epoch: 6 [18176/46250]	Loss: 0.1679	LR: 0.100000
Training Epoch: 6 [18432/46250]	Loss: 0.2380	LR: 0.100000
Training Epoch: 6 [18688/46250]	Loss: 0.1280	LR: 0.100000
Training Epoch: 6 [18944/46250]	Loss: 0.2434	LR: 0.100000
Training Epoch: 6 [19200/46250]	Loss: 0.1322	LR: 0.100000
Training Epoch: 6 [19456/46250]	Loss: 0.3173	LR: 0.100000
Training Epoch: 6 [19712/46250]	Loss: 0.2126	LR: 0.100000
Training Epoch: 6 [19968/46250]	Loss: 0.1843	LR: 0.100000
Training Epoch: 6 [20224/46250]	Loss: 0.2566	LR: 0.100000
Training Epoch: 6 [20480/46250]	Loss: 0.2668	LR: 0.100000
Training Epoch: 6 [20736/46250]	Loss: 0.1897	LR: 0.100000
Training Epoch: 6 [20992/46250]	Loss: 0.1002	LR: 0.100000
Training Epoch: 6 [21248/46250]	Loss: 0.1838	LR: 0.100000
Training Epoch: 6 [21504/46250]	Loss: 0.2184	LR: 0.100000
Training Epoch: 6 [21760/46250]	Loss: 0.2155	LR: 0.100000
Training Epoch: 6 [22016/46250]	Loss: 0.1880	LR: 0.100000
Training Epoch: 6 [22272/46250]	Loss: 0.2567	LR: 0.100000
Training Epoch: 6 [22528/46250]	Loss: 0.1575	LR: 0.100000
Training Epoch: 6 [22784/46250]	Loss: 0.1555	LR: 0.100000
Training Epoch: 6 [23040/46250]	Loss: 0.1606	LR: 0.100000
Training Epoch: 6 [23296/46250]	Loss: 0.2660	LR: 0.100000
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Training Epoch: 6 [24064/46250]	Loss: 0.1740	LR: 0.100000
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Training Epoch: 6 [24832/46250]	Loss: 0.1938	LR: 0.100000
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Training Epoch: 6 [25344/46250]	Loss: 0.1700	LR: 0.100000
Training Epoch: 6 [25600/46250]	Loss: 0.1975	LR: 0.100000
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Training Epoch: 6 [26112/46250]	Loss: 0.2346	LR: 0.100000
Training Epoch: 6 [26368/46250]	Loss: 0.2715	LR: 0.100000
Training Epoch: 6 [26624/46250]	Loss: 0.1887	LR: 0.100000
Training Epoch: 6 [26880/46250]	Loss: 0.2698	LR: 0.100000
Training Epoch: 6 [27136/46250]	Loss: 0.2148	LR: 0.100000
Training Epoch: 6 [27392/46250]	Loss: 0.2526	LR: 0.100000
Training Epoch: 6 [27648/46250]	Loss: 0.1790	LR: 0.100000
Training Epoch: 6 [27904/46250]	Loss: 0.1557	LR: 0.100000
Training Epoch: 6 [28160/46250]	Loss: 0.2310	LR: 0.100000
Training Epoch: 6 [28416/46250]	Loss: 0.1263	LR: 0.100000
Training Epoch: 6 [28672/46250]	Loss: 0.2056	LR: 0.100000
Training Epoch: 6 [28928/46250]	Loss: 0.2705	LR: 0.100000
Training Epoch: 6 [29184/46250]	Loss: 0.2160	LR: 0.100000
Training Epoch: 6 [29440/46250]	Loss: 0.3407	LR: 0.100000
Training Epoch: 6 [29696/46250]	Loss: 0.1904	LR: 0.100000
Training Epoch: 6 [29952/46250]	Loss: 0.2375	LR: 0.100000
Training Epoch: 6 [30208/46250]	Loss: 0.3188	LR: 0.100000
Training Epoch: 6 [30464/46250]	Loss: 0.1798	LR: 0.100000
Training Epoch: 6 [30720/46250]	Loss: 0.2781	LR: 0.100000
Training Epoch: 6 [30976/46250]	Loss: 0.2063	LR: 0.100000
Training Epoch: 6 [31232/46250]	Loss: 0.1516	LR: 0.100000
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Training Epoch: 6 [34816/46250]	Loss: 0.1350	LR: 0.100000
Training Epoch: 6 [35072/46250]	Loss: 0.1584	LR: 0.100000
Training Epoch: 6 [35328/46250]	Loss: 0.2013	LR: 0.100000
Training Epoch: 6 [35584/46250]	Loss: 0.1498	LR: 0.100000
Training Epoch: 6 [35840/46250]	Loss: 0.1974	LR: 0.100000
Training Epoch: 6 [36096/46250]	Loss: 0.2303	LR: 0.100000
Training Epoch: 6 [36352/46250]	Loss: 0.2300	LR: 0.100000
Training Epoch: 6 [36608/46250]	Loss: 0.1760	LR: 0.100000
Training Epoch: 6 [36864/46250]	Loss: 0.1933	LR: 0.100000
Training Epoch: 6 [37120/46250]	Loss: 0.1689	LR: 0.100000
Training Epoch: 6 [37376/46250]	Loss: 0.1407	LR: 0.100000
Training Epoch: 6 [37632/46250]	Loss: 0.1762	LR: 0.100000
Training Epoch: 6 [37888/46250]	Loss: 0.1186	LR: 0.100000
Training Epoch: 6 [38144/46250]	Loss: 0.1671	LR: 0.100000
Training Epoch: 6 [38400/46250]	Loss: 0.2281	LR: 0.100000
Training Epoch: 6 [38656/46250]	Loss: 0.1500	LR: 0.100000
Training Epoch: 6 [38912/46250]	Loss: 0.2849	LR: 0.100000
Training Epoch: 6 [39168/46250]	Loss: 0.2458	LR: 0.100000
Training Epoch: 6 [39424/46250]	Loss: 0.1127	LR: 0.100000
Training Epoch: 6 [39680/46250]	Loss: 0.1819	LR: 0.100000
Training Epoch: 6 [39936/46250]	Loss: 0.2096	LR: 0.100000
Training Epoch: 6 [40192/46250]	Loss: 0.1820	LR: 0.100000
Training Epoch: 6 [40448/46250]	Loss: 0.2495	LR: 0.100000
Training Epoch: 6 [40704/46250]	Loss: 0.1661	LR: 0.100000
Training Epoch: 6 [40960/46250]	Loss: 0.1288	LR: 0.100000
Training Epoch: 6 [41216/46250]	Loss: 0.2074	LR: 0.100000
Training Epoch: 6 [41472/46250]	Loss: 0.1454	LR: 0.100000
Training Epoch: 6 [41728/46250]	Loss: 0.2268	LR: 0.100000
Training Epoch: 6 [41984/46250]	Loss: 0.1222	LR: 0.100000
Training Epoch: 6 [42240/46250]	Loss: 0.1722	LR: 0.100000
Training Epoch: 6 [42496/46250]	Loss: 0.2226	LR: 0.100000
Training Epoch: 6 [42752/46250]	Loss: 0.1435	LR: 0.100000
Training Epoch: 6 [43008/46250]	Loss: 0.1791	LR: 0.100000
Training Epoch: 6 [43264/46250]	Loss: 0.1959	LR: 0.100000
Training Epoch: 6 [43520/46250]	Loss: 0.2060	LR: 0.100000
Training Epoch: 6 [43776/46250]	Loss: 0.1530	LR: 0.100000
Training Epoch: 6 [44032/46250]	Loss: 0.1760	LR: 0.100000
Training Epoch: 6 [44288/46250]	Loss: 0.1785	LR: 0.100000
Training Epoch: 6 [44544/46250]	Loss: 0.2439	LR: 0.100000
Training Epoch: 6 [44800/46250]	Loss: 0.1915	LR: 0.100000
Training Epoch: 6 [45056/46250]	Loss: 0.2533	LR: 0.100000
Training Epoch: 6 [45312/46250]	Loss: 0.1495	LR: 0.100000
Training Epoch: 6 [45568/46250]	Loss: 0.1784	LR: 0.100000
Training Epoch: 6 [45824/46250]	Loss: 0.2486	LR: 0.100000
Training Epoch: 6 [46080/46250]	Loss: 0.1687	LR: 0.100000
Training Epoch: 6 [46250/46250]	Loss: 0.2855	LR: 0.100000
Epoch 6 - Average Train Loss: 0.1822, Train Accuracy: 0.9392
Epoch 6 training time consumed: 334.51s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0007, Accuracy: 0.9388, Time consumed:23.55s
Training Epoch: 7 [256/46250]	Loss: 0.1367	LR: 0.020000
Training Epoch: 7 [512/46250]	Loss: 0.1480	LR: 0.020000
Training Epoch: 7 [768/46250]	Loss: 0.1664	LR: 0.020000
Training Epoch: 7 [1024/46250]	Loss: 0.1075	LR: 0.020000
Training Epoch: 7 [1280/46250]	Loss: 0.1048	LR: 0.020000
Training Epoch: 7 [1536/46250]	Loss: 0.1305	LR: 0.020000
Training Epoch: 7 [1792/46250]	Loss: 0.0977	LR: 0.020000
Training Epoch: 7 [2048/46250]	Loss: 0.1067	LR: 0.020000
Training Epoch: 7 [2304/46250]	Loss: 0.1262	LR: 0.020000
Training Epoch: 7 [2560/46250]	Loss: 0.0805	LR: 0.020000
Training Epoch: 7 [2816/46250]	Loss: 0.1285	LR: 0.020000
Training Epoch: 7 [3072/46250]	Loss: 0.0573	LR: 0.020000
Training Epoch: 7 [3328/46250]	Loss: 0.0550	LR: 0.020000
Training Epoch: 7 [3584/46250]	Loss: 0.1198	LR: 0.020000
Training Epoch: 7 [3840/46250]	Loss: 0.1282	LR: 0.020000
Training Epoch: 7 [4096/46250]	Loss: 0.0516	LR: 0.020000
Training Epoch: 7 [4352/46250]	Loss: 0.0693	LR: 0.020000
Training Epoch: 7 [4608/46250]	Loss: 0.0966	LR: 0.020000
Training Epoch: 7 [4864/46250]	Loss: 0.0625	LR: 0.020000
Training Epoch: 7 [5120/46250]	Loss: 0.0508	LR: 0.020000
Training Epoch: 7 [5376/46250]	Loss: 0.0865	LR: 0.020000
Training Epoch: 7 [5632/46250]	Loss: 0.0575	LR: 0.020000
Training Epoch: 7 [5888/46250]	Loss: 0.1216	LR: 0.020000
Training Epoch: 7 [6144/46250]	Loss: 0.0706	LR: 0.020000
Training Epoch: 7 [6400/46250]	Loss: 0.0547	LR: 0.020000
Training Epoch: 7 [6656/46250]	Loss: 0.0639	LR: 0.020000
Training Epoch: 7 [6912/46250]	Loss: 0.0728	LR: 0.020000
Training Epoch: 7 [7168/46250]	Loss: 0.0522	LR: 0.020000
Training Epoch: 7 [7424/46250]	Loss: 0.0914	LR: 0.020000
Training Epoch: 7 [7680/46250]	Loss: 0.0918	LR: 0.020000
Training Epoch: 7 [7936/46250]	Loss: 0.0667	LR: 0.020000
Training Epoch: 7 [8192/46250]	Loss: 0.0819	LR: 0.020000
Training Epoch: 7 [8448/46250]	Loss: 0.0621	LR: 0.020000
Training Epoch: 7 [8704/46250]	Loss: 0.0433	LR: 0.020000
Training Epoch: 7 [8960/46250]	Loss: 0.0382	LR: 0.020000
Training Epoch: 7 [9216/46250]	Loss: 0.0730	LR: 0.020000
Training Epoch: 7 [9472/46250]	Loss: 0.0783	LR: 0.020000
Training Epoch: 7 [9728/46250]	Loss: 0.0447	LR: 0.020000
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Training Epoch: 7 [10240/46250]	Loss: 0.0439	LR: 0.020000
Training Epoch: 7 [10496/46250]	Loss: 0.0970	LR: 0.020000
Training Epoch: 7 [10752/46250]	Loss: 0.0367	LR: 0.020000
Training Epoch: 7 [11008/46250]	Loss: 0.0495	LR: 0.020000
Training Epoch: 7 [11264/46250]	Loss: 0.0328	LR: 0.020000
Training Epoch: 7 [11520/46250]	Loss: 0.1129	LR: 0.020000
Training Epoch: 7 [11776/46250]	Loss: 0.0309	LR: 0.020000
Training Epoch: 7 [12032/46250]	Loss: 0.0757	LR: 0.020000
Training Epoch: 7 [12288/46250]	Loss: 0.0756	LR: 0.020000
Training Epoch: 7 [12544/46250]	Loss: 0.0520	LR: 0.020000
Training Epoch: 7 [12800/46250]	Loss: 0.0198	LR: 0.020000
Training Epoch: 7 [13056/46250]	Loss: 0.0969	LR: 0.020000
Training Epoch: 7 [13312/46250]	Loss: 0.0563	LR: 0.020000
Training Epoch: 7 [13568/46250]	Loss: 0.0581	LR: 0.020000
Training Epoch: 7 [13824/46250]	Loss: 0.0913	LR: 0.020000
Training Epoch: 7 [14080/46250]	Loss: 0.0540	LR: 0.020000
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Training Epoch: 7 [15616/46250]	Loss: 0.0486	LR: 0.020000
Training Epoch: 7 [15872/46250]	Loss: 0.0538	LR: 0.020000
Training Epoch: 7 [16128/46250]	Loss: 0.0411	LR: 0.020000
Training Epoch: 7 [16384/46250]	Loss: 0.0702	LR: 0.020000
Training Epoch: 7 [16640/46250]	Loss: 0.0509	LR: 0.020000
Training Epoch: 7 [16896/46250]	Loss: 0.0599	LR: 0.020000
Training Epoch: 7 [17152/46250]	Loss: 0.0762	LR: 0.020000
Training Epoch: 7 [17408/46250]	Loss: 0.1135	LR: 0.020000
Training Epoch: 7 [17664/46250]	Loss: 0.0395	LR: 0.020000
Training Epoch: 7 [17920/46250]	Loss: 0.0723	LR: 0.020000
Training Epoch: 7 [18176/46250]	Loss: 0.0308	LR: 0.020000
Training Epoch: 7 [18432/46250]	Loss: 0.0216	LR: 0.020000
Training Epoch: 7 [18688/46250]	Loss: 0.0371	LR: 0.020000
Training Epoch: 7 [18944/46250]	Loss: 0.0310	LR: 0.020000
Training Epoch: 7 [19200/46250]	Loss: 0.0581	LR: 0.020000
Training Epoch: 7 [19456/46250]	Loss: 0.0410	LR: 0.020000
Training Epoch: 7 [19712/46250]	Loss: 0.0384	LR: 0.020000
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Training Epoch: 7 [29952/46250]	Loss: 0.0564	LR: 0.020000
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Training Epoch: 7 [35072/46250]	Loss: 0.0619	LR: 0.020000
Training Epoch: 7 [35328/46250]	Loss: 0.0252	LR: 0.020000
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Training Epoch: 7 [37376/46250]	Loss: 0.0330	LR: 0.020000
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Training Epoch: 7 [38144/46250]	Loss: 0.0733	LR: 0.020000
Training Epoch: 7 [38400/46250]	Loss: 0.0419	LR: 0.020000
Training Epoch: 7 [38656/46250]	Loss: 0.0577	LR: 0.020000
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Training Epoch: 7 [40192/46250]	Loss: 0.0488	LR: 0.020000
Training Epoch: 7 [40448/46250]	Loss: 0.0452	LR: 0.020000
Training Epoch: 7 [40704/46250]	Loss: 0.0564	LR: 0.020000
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Training Epoch: 7 [41728/46250]	Loss: 0.0644	LR: 0.020000
Training Epoch: 7 [41984/46250]	Loss: 0.0235	LR: 0.020000
Training Epoch: 7 [42240/46250]	Loss: 0.0378	LR: 0.020000
Training Epoch: 7 [42496/46250]	Loss: 0.0540	LR: 0.020000
Training Epoch: 7 [42752/46250]	Loss: 0.0435	LR: 0.020000
Training Epoch: 7 [43008/46250]	Loss: 0.0282	LR: 0.020000
Training Epoch: 7 [43264/46250]	Loss: 0.0533	LR: 0.020000
Training Epoch: 7 [43520/46250]	Loss: 0.0560	LR: 0.020000
Training Epoch: 7 [43776/46250]	Loss: 0.0680	LR: 0.020000
Training Epoch: 7 [44032/46250]	Loss: 0.0546	LR: 0.020000
Training Epoch: 7 [44288/46250]	Loss: 0.0208	LR: 0.020000
Training Epoch: 7 [44544/46250]	Loss: 0.0349	LR: 0.020000
Training Epoch: 7 [44800/46250]	Loss: 0.0295	LR: 0.020000
Training Epoch: 7 [45056/46250]	Loss: 0.0506	LR: 0.020000
Training Epoch: 7 [45312/46250]	Loss: 0.0231	LR: 0.020000
Training Epoch: 7 [45568/46250]	Loss: 0.0486	LR: 0.020000
Training Epoch: 7 [45824/46250]	Loss: 0.0278	LR: 0.020000
Training Epoch: 7 [46080/46250]	Loss: 0.0390	LR: 0.020000
Training Epoch: 7 [46250/46250]	Loss: 0.0394	LR: 0.020000
Epoch 7 - Average Train Loss: 0.0576, Train Accuracy: 0.9802
Epoch 7 training time consumed: 334.45s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0003, Accuracy: 0.9740, Time consumed:23.54s
Saving weights file to checkpoint/retrain/ViT/Friday_18_July_2025_06h_03m_37s/ViT-Cifar10-seed9-ret25-7-best.pth
Training Epoch: 8 [256/46250]	Loss: 0.1132	LR: 0.020000
Training Epoch: 8 [512/46250]	Loss: 0.0301	LR: 0.020000
Training Epoch: 8 [768/46250]	Loss: 0.0138	LR: 0.020000
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Training Epoch: 8 [1536/46250]	Loss: 0.0447	LR: 0.020000
Training Epoch: 8 [1792/46250]	Loss: 0.0230	LR: 0.020000
Training Epoch: 8 [2048/46250]	Loss: 0.0774	LR: 0.020000
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Training Epoch: 8 [3072/46250]	Loss: 0.0268	LR: 0.020000
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Training Epoch: 8 [3840/46250]	Loss: 0.0293	LR: 0.020000
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Training Epoch: 8 [4352/46250]	Loss: 0.0312	LR: 0.020000
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Training Epoch: 8 [20224/46250]	Loss: 0.0343	LR: 0.020000
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Training Epoch: 8 [23040/46250]	Loss: 0.0265	LR: 0.020000
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Training Epoch: 8 [24320/46250]	Loss: 0.0556	LR: 0.020000
Training Epoch: 8 [24576/46250]	Loss: 0.0361	LR: 0.020000
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Training Epoch: 8 [25856/46250]	Loss: 0.0358	LR: 0.020000
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Training Epoch: 8 [27136/46250]	Loss: 0.0072	LR: 0.020000
Training Epoch: 8 [27392/46250]	Loss: 0.0354	LR: 0.020000
Training Epoch: 8 [27648/46250]	Loss: 0.0372	LR: 0.020000
Training Epoch: 8 [27904/46250]	Loss: 0.0258	LR: 0.020000
Training Epoch: 8 [28160/46250]	Loss: 0.0469	LR: 0.020000
Training Epoch: 8 [28416/46250]	Loss: 0.0321	LR: 0.020000
Training Epoch: 8 [28672/46250]	Loss: 0.0796	LR: 0.020000
Training Epoch: 8 [28928/46250]	Loss: 0.0497	LR: 0.020000
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Training Epoch: 8 [29440/46250]	Loss: 0.0364	LR: 0.020000
Training Epoch: 8 [29696/46250]	Loss: 0.0665	LR: 0.020000
Training Epoch: 8 [29952/46250]	Loss: 0.0819	LR: 0.020000
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Training Epoch: 8 [30464/46250]	Loss: 0.0295	LR: 0.020000
Training Epoch: 8 [30720/46250]	Loss: 0.0745	LR: 0.020000
Training Epoch: 8 [30976/46250]	Loss: 0.0384	LR: 0.020000
Training Epoch: 8 [31232/46250]	Loss: 0.0371	LR: 0.020000
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Training Epoch: 8 [32256/46250]	Loss: 0.0302	LR: 0.020000
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Training Epoch: 8 [33024/46250]	Loss: 0.0507	LR: 0.020000
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Training Epoch: 8 [34560/46250]	Loss: 0.0390	LR: 0.020000
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Training Epoch: 8 [35072/46250]	Loss: 0.0407	LR: 0.020000
Training Epoch: 8 [35328/46250]	Loss: 0.0365	LR: 0.020000
Training Epoch: 8 [35584/46250]	Loss: 0.0222	LR: 0.020000
Training Epoch: 8 [35840/46250]	Loss: 0.0363	LR: 0.020000
Training Epoch: 8 [36096/46250]	Loss: 0.0176	LR: 0.020000
Training Epoch: 8 [36352/46250]	Loss: 0.0731	LR: 0.020000
Training Epoch: 8 [36608/46250]	Loss: 0.0278	LR: 0.020000
Training Epoch: 8 [36864/46250]	Loss: 0.0519	LR: 0.020000
Training Epoch: 8 [37120/46250]	Loss: 0.0477	LR: 0.020000
Training Epoch: 8 [37376/46250]	Loss: 0.0590	LR: 0.020000
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Training Epoch: 8 [37888/46250]	Loss: 0.0527	LR: 0.020000
Training Epoch: 8 [38144/46250]	Loss: 0.0670	LR: 0.020000
Training Epoch: 8 [38400/46250]	Loss: 0.0550	LR: 0.020000
Training Epoch: 8 [38656/46250]	Loss: 0.0599	LR: 0.020000
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Training Epoch: 8 [39168/46250]	Loss: 0.0546	LR: 0.020000
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Training Epoch: 8 [39936/46250]	Loss: 0.0301	LR: 0.020000
Training Epoch: 8 [40192/46250]	Loss: 0.0395	LR: 0.020000
Training Epoch: 8 [40448/46250]	Loss: 0.0214	LR: 0.020000
Training Epoch: 8 [40704/46250]	Loss: 0.0324	LR: 0.020000
Training Epoch: 8 [40960/46250]	Loss: 0.0543	LR: 0.020000
Training Epoch: 8 [41216/46250]	Loss: 0.0826	LR: 0.020000
Training Epoch: 8 [41472/46250]	Loss: 0.0695	LR: 0.020000
Training Epoch: 8 [41728/46250]	Loss: 0.0362	LR: 0.020000
Training Epoch: 8 [41984/46250]	Loss: 0.0397	LR: 0.020000
Training Epoch: 8 [42240/46250]	Loss: 0.0257	LR: 0.020000
Training Epoch: 8 [42496/46250]	Loss: 0.0530	LR: 0.020000
Training Epoch: 8 [42752/46250]	Loss: 0.0654	LR: 0.020000
Training Epoch: 8 [43008/46250]	Loss: 0.0188	LR: 0.020000
Training Epoch: 8 [43264/46250]	Loss: 0.0565	LR: 0.020000
Training Epoch: 8 [43520/46250]	Loss: 0.0636	LR: 0.020000
Training Epoch: 8 [43776/46250]	Loss: 0.0449	LR: 0.020000
Training Epoch: 8 [44032/46250]	Loss: 0.0447	LR: 0.020000
Training Epoch: 8 [44288/46250]	Loss: 0.0344	LR: 0.020000
Training Epoch: 8 [44544/46250]	Loss: 0.0303	LR: 0.020000
Training Epoch: 8 [44800/46250]	Loss: 0.0337	LR: 0.020000
Training Epoch: 8 [45056/46250]	Loss: 0.0270	LR: 0.020000
Training Epoch: 8 [45312/46250]	Loss: 0.0225	LR: 0.020000
Training Epoch: 8 [45568/46250]	Loss: 0.0702	LR: 0.020000
Training Epoch: 8 [45824/46250]	Loss: 0.0287	LR: 0.020000
Training Epoch: 8 [46080/46250]	Loss: 0.0309	LR: 0.020000
Training Epoch: 8 [46250/46250]	Loss: 0.0359	LR: 0.020000
Epoch 8 - Average Train Loss: 0.0395, Train Accuracy: 0.9865
Epoch 8 training time consumed: 334.21s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0004, Accuracy: 0.9722, Time consumed:23.53s
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: 98.74395751953125
Zero-Retain Forget (ZRF): 0.7746152877807617
Membership Inference Attack (MIA): 0.8109333333333333
Forget vs Retain Membership Inference Attack (MIA): 0.522
Forget vs Test Membership Inference Attack (MIA): 0.5366666666666666
Test vs Retain Membership Inference Attack (MIA): 0.51875
Train vs Test Membership Inference Attack (MIA): 0.5145
Forget Set Accuracy (Df): 96.05892181396484
Method Execution Time: 5262.41 seconds
