hello
hello

📌S Retain class distribution for seed 2:
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 2:
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: 2.5103	LR: 0.000000
Training Epoch: 1 [512/46250]	Loss: 2.4843	LR: 0.000552
Training Epoch: 1 [768/46250]	Loss: 2.4971	LR: 0.001105
Training Epoch: 1 [1024/46250]	Loss: 2.4622	LR: 0.001657
Training Epoch: 1 [1280/46250]	Loss: 2.3815	LR: 0.002210
Training Epoch: 1 [1536/46250]	Loss: 2.2690	LR: 0.002762
Training Epoch: 1 [1792/46250]	Loss: 2.1941	LR: 0.003315
Training Epoch: 1 [2048/46250]	Loss: 1.9621	LR: 0.003867
Training Epoch: 1 [2304/46250]	Loss: 1.7535	LR: 0.004420
Training Epoch: 1 [2560/46250]	Loss: 1.5369	LR: 0.004972
Training Epoch: 1 [2816/46250]	Loss: 1.2347	LR: 0.005525
Training Epoch: 1 [3072/46250]	Loss: 1.0749	LR: 0.006077
Training Epoch: 1 [3328/46250]	Loss: 0.8007	LR: 0.006630
Training Epoch: 1 [3584/46250]	Loss: 0.6212	LR: 0.007182
Training Epoch: 1 [3840/46250]	Loss: 0.4327	LR: 0.007735
Training Epoch: 1 [4096/46250]	Loss: 0.3660	LR: 0.008287
Training Epoch: 1 [4352/46250]	Loss: 0.3798	LR: 0.008840
Training Epoch: 1 [4608/46250]	Loss: 0.2928	LR: 0.009392
Training Epoch: 1 [4864/46250]	Loss: 0.2268	LR: 0.009945
Training Epoch: 1 [5120/46250]	Loss: 0.2079	LR: 0.010497
Training Epoch: 1 [5376/46250]	Loss: 0.3341	LR: 0.011050
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Training Epoch: 1 [5888/46250]	Loss: 0.1329	LR: 0.012155
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Training Epoch: 1 [7168/46250]	Loss: 0.2284	LR: 0.014917
Training Epoch: 1 [7424/46250]	Loss: 0.2119	LR: 0.015470
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Training Epoch: 1 [8192/46250]	Loss: 0.1573	LR: 0.017127
Training Epoch: 1 [8448/46250]	Loss: 0.1963	LR: 0.017680
Training Epoch: 1 [8704/46250]	Loss: 0.2185	LR: 0.018232
Training Epoch: 1 [8960/46250]	Loss: 0.2656	LR: 0.018785
Training Epoch: 1 [9216/46250]	Loss: 0.2976	LR: 0.019337
Training Epoch: 1 [9472/46250]	Loss: 0.3127	LR: 0.019890
Training Epoch: 1 [9728/46250]	Loss: 0.3045	LR: 0.020442
Training Epoch: 1 [9984/46250]	Loss: 0.3938	LR: 0.020994
Training Epoch: 1 [10240/46250]	Loss: 0.5277	LR: 0.021547
Training Epoch: 1 [10496/46250]	Loss: 0.7161	LR: 0.022099
Training Epoch: 1 [10752/46250]	Loss: 0.4401	LR: 0.022652
Training Epoch: 1 [11008/46250]	Loss: 0.2374	LR: 0.023204
Training Epoch: 1 [11264/46250]	Loss: 0.2092	LR: 0.023757
Training Epoch: 1 [11520/46250]	Loss: 0.4117	LR: 0.024309
Training Epoch: 1 [11776/46250]	Loss: 0.4932	LR: 0.024862
Training Epoch: 1 [12032/46250]	Loss: 0.2770	LR: 0.025414
Training Epoch: 1 [12288/46250]	Loss: 0.3357	LR: 0.025967
Training Epoch: 1 [12544/46250]	Loss: 0.3056	LR: 0.026519
Training Epoch: 1 [12800/46250]	Loss: 0.4218	LR: 0.027072
Training Epoch: 1 [13056/46250]	Loss: 0.4148	LR: 0.027624
Training Epoch: 1 [13312/46250]	Loss: 0.4726	LR: 0.028177
Training Epoch: 1 [13568/46250]	Loss: 0.2637	LR: 0.028729
Training Epoch: 1 [13824/46250]	Loss: 0.3478	LR: 0.029282
Training Epoch: 1 [14080/46250]	Loss: 0.3688	LR: 0.029834
Training Epoch: 1 [14336/46250]	Loss: 0.2667	LR: 0.030387
Training Epoch: 1 [14592/46250]	Loss: 0.2876	LR: 0.030939
Training Epoch: 1 [14848/46250]	Loss: 0.4458	LR: 0.031492
Training Epoch: 1 [15104/46250]	Loss: 0.4066	LR: 0.032044
Training Epoch: 1 [15360/46250]	Loss: 0.2923	LR: 0.032597
Training Epoch: 1 [15616/46250]	Loss: 0.2555	LR: 0.033149
Training Epoch: 1 [15872/46250]	Loss: 0.2566	LR: 0.033702
Training Epoch: 1 [16128/46250]	Loss: 0.3597	LR: 0.034254
Training Epoch: 1 [16384/46250]	Loss: 0.2651	LR: 0.034807
Training Epoch: 1 [16640/46250]	Loss: 0.2258	LR: 0.035359
Training Epoch: 1 [16896/46250]	Loss: 0.2139	LR: 0.035912
Training Epoch: 1 [17152/46250]	Loss: 0.2021	LR: 0.036464
Training Epoch: 1 [17408/46250]	Loss: 0.1578	LR: 0.037017
Training Epoch: 1 [17664/46250]	Loss: 0.2523	LR: 0.037569
Training Epoch: 1 [17920/46250]	Loss: 0.1628	LR: 0.038122
Training Epoch: 1 [18176/46250]	Loss: 0.2382	LR: 0.038674
Training Epoch: 1 [18432/46250]	Loss: 0.1948	LR: 0.039227
Training Epoch: 1 [18688/46250]	Loss: 0.2182	LR: 0.039779
Training Epoch: 1 [18944/46250]	Loss: 0.1931	LR: 0.040331
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Training Epoch: 1 [19456/46250]	Loss: 0.2885	LR: 0.041436
Training Epoch: 1 [19712/46250]	Loss: 0.1954	LR: 0.041989
Training Epoch: 1 [19968/46250]	Loss: 0.2080	LR: 0.042541
Training Epoch: 1 [20224/46250]	Loss: 0.3481	LR: 0.043094
Training Epoch: 1 [20480/46250]	Loss: 0.2756	LR: 0.043646
Training Epoch: 1 [20736/46250]	Loss: 0.2349	LR: 0.044199
Training Epoch: 1 [20992/46250]	Loss: 0.2420	LR: 0.044751
Training Epoch: 1 [21248/46250]	Loss: 0.4346	LR: 0.045304
Training Epoch: 1 [21504/46250]	Loss: 0.2367	LR: 0.045856
Training Epoch: 1 [21760/46250]	Loss: 0.1886	LR: 0.046409
Training Epoch: 1 [22016/46250]	Loss: 0.2412	LR: 0.046961
Training Epoch: 1 [22272/46250]	Loss: 0.3601	LR: 0.047514
Training Epoch: 1 [22528/46250]	Loss: 0.2072	LR: 0.048066
Training Epoch: 1 [22784/46250]	Loss: 0.2274	LR: 0.048619
Training Epoch: 1 [23040/46250]	Loss: 0.2470	LR: 0.049171
Training Epoch: 1 [23296/46250]	Loss: 0.1679	LR: 0.049724
Training Epoch: 1 [23552/46250]	Loss: 0.1931	LR: 0.050276
Training Epoch: 1 [23808/46250]	Loss: 0.1559	LR: 0.050829
Training Epoch: 1 [24064/46250]	Loss: 0.2017	LR: 0.051381
Training Epoch: 1 [24320/46250]	Loss: 0.3264	LR: 0.051934
Training Epoch: 1 [24576/46250]	Loss: 0.3021	LR: 0.052486
Training Epoch: 1 [24832/46250]	Loss: 0.2248	LR: 0.053039
Training Epoch: 1 [25088/46250]	Loss: 0.1718	LR: 0.053591
Training Epoch: 1 [25344/46250]	Loss: 0.2372	LR: 0.054144
Training Epoch: 1 [25600/46250]	Loss: 0.2398	LR: 0.054696
Training Epoch: 1 [25856/46250]	Loss: 0.2973	LR: 0.055249
Training Epoch: 1 [26112/46250]	Loss: 0.2226	LR: 0.055801
Training Epoch: 1 [26368/46250]	Loss: 0.2577	LR: 0.056354
Training Epoch: 1 [26624/46250]	Loss: 0.2482	LR: 0.056906
Training Epoch: 1 [26880/46250]	Loss: 0.2500	LR: 0.057459
Training Epoch: 1 [27136/46250]	Loss: 0.3734	LR: 0.058011
Training Epoch: 1 [27392/46250]	Loss: 0.2579	LR: 0.058564
Training Epoch: 1 [27648/46250]	Loss: 0.4438	LR: 0.059116
Training Epoch: 1 [27904/46250]	Loss: 0.2601	LR: 0.059669
Training Epoch: 1 [28160/46250]	Loss: 0.3664	LR: 0.060221
Training Epoch: 1 [28416/46250]	Loss: 0.2413	LR: 0.060773
Training Epoch: 1 [28672/46250]	Loss: 0.2041	LR: 0.061326
Training Epoch: 1 [28928/46250]	Loss: 0.3429	LR: 0.061878
Training Epoch: 1 [29184/46250]	Loss: 0.2599	LR: 0.062431
Training Epoch: 1 [29440/46250]	Loss: 0.1854	LR: 0.062983
Training Epoch: 1 [29696/46250]	Loss: 0.1176	LR: 0.063536
Training Epoch: 1 [29952/46250]	Loss: 0.2481	LR: 0.064088
Training Epoch: 1 [30208/46250]	Loss: 0.3191	LR: 0.064641
Training Epoch: 1 [30464/46250]	Loss: 0.2107	LR: 0.065193
Training Epoch: 1 [30720/46250]	Loss: 0.2895	LR: 0.065746
Training Epoch: 1 [30976/46250]	Loss: 0.2812	LR: 0.066298
Training Epoch: 1 [31232/46250]	Loss: 0.4004	LR: 0.066851
Training Epoch: 1 [31488/46250]	Loss: 0.2508	LR: 0.067403
Training Epoch: 1 [31744/46250]	Loss: 0.2360	LR: 0.067956
Training Epoch: 1 [32000/46250]	Loss: 0.3114	LR: 0.068508
Training Epoch: 1 [32256/46250]	Loss: 0.2456	LR: 0.069061
Training Epoch: 1 [32512/46250]	Loss: 0.3393	LR: 0.069613
Training Epoch: 1 [32768/46250]	Loss: 0.4314	LR: 0.070166
Training Epoch: 1 [33024/46250]	Loss: 0.1772	LR: 0.070718
Training Epoch: 1 [33280/46250]	Loss: 0.4702	LR: 0.071271
Training Epoch: 1 [33536/46250]	Loss: 0.4474	LR: 0.071823
Training Epoch: 1 [33792/46250]	Loss: 0.2097	LR: 0.072376
Training Epoch: 1 [34048/46250]	Loss: 0.3571	LR: 0.072928
Training Epoch: 1 [34304/46250]	Loss: 0.4377	LR: 0.073481
Training Epoch: 1 [34560/46250]	Loss: 0.4497	LR: 0.074033
Training Epoch: 1 [34816/46250]	Loss: 0.2330	LR: 0.074586
Training Epoch: 1 [35072/46250]	Loss: 0.8511	LR: 0.075138
Training Epoch: 1 [35328/46250]	Loss: 0.6513	LR: 0.075691
Training Epoch: 1 [35584/46250]	Loss: 0.4004	LR: 0.076243
Training Epoch: 1 [35840/46250]	Loss: 0.4847	LR: 0.076796
Training Epoch: 1 [36096/46250]	Loss: 0.4113	LR: 0.077348
Training Epoch: 1 [36352/46250]	Loss: 0.4580	LR: 0.077901
Training Epoch: 1 [36608/46250]	Loss: 0.4327	LR: 0.078453
Training Epoch: 1 [36864/46250]	Loss: 0.5773	LR: 0.079006
Training Epoch: 1 [37120/46250]	Loss: 0.6101	LR: 0.079558
Training Epoch: 1 [37376/46250]	Loss: 0.4767	LR: 0.080110
Training Epoch: 1 [37632/46250]	Loss: 0.6698	LR: 0.080663
Training Epoch: 1 [37888/46250]	Loss: 0.4879	LR: 0.081215
Training Epoch: 1 [38144/46250]	Loss: 0.4381	LR: 0.081768
Training Epoch: 1 [38400/46250]	Loss: 0.4737	LR: 0.082320
Training Epoch: 1 [38656/46250]	Loss: 0.4319	LR: 0.082873
Training Epoch: 1 [38912/46250]	Loss: 0.6077	LR: 0.083425
Training Epoch: 1 [39168/46250]	Loss: 0.4506	LR: 0.083978
Training Epoch: 1 [39424/46250]	Loss: 0.4620	LR: 0.084530
Training Epoch: 1 [39680/46250]	Loss: 0.5356	LR: 0.085083
Training Epoch: 1 [39936/46250]	Loss: 0.4414	LR: 0.085635
Training Epoch: 1 [40192/46250]	Loss: 0.5848	LR: 0.086188
Training Epoch: 1 [40448/46250]	Loss: 0.6203	LR: 0.086740
Training Epoch: 1 [40704/46250]	Loss: 0.8797	LR: 0.087293
Training Epoch: 1 [40960/46250]	Loss: 0.7287	LR: 0.087845
Training Epoch: 1 [41216/46250]	Loss: 0.5655	LR: 0.088398
Training Epoch: 1 [41472/46250]	Loss: 0.7002	LR: 0.088950
Training Epoch: 1 [41728/46250]	Loss: 0.4516	LR: 0.089503
Training Epoch: 1 [41984/46250]	Loss: 0.5285	LR: 0.090055
Training Epoch: 1 [42240/46250]	Loss: 0.6482	LR: 0.090608
Training Epoch: 1 [42496/46250]	Loss: 0.5353	LR: 0.091160
Training Epoch: 1 [42752/46250]	Loss: 0.6527	LR: 0.091713
Training Epoch: 1 [43008/46250]	Loss: 0.4852	LR: 0.092265
Training Epoch: 1 [43264/46250]	Loss: 0.5390	LR: 0.092818
Training Epoch: 1 [43520/46250]	Loss: 0.6297	LR: 0.093370
Training Epoch: 1 [43776/46250]	Loss: 0.5777	LR: 0.093923
Training Epoch: 1 [44032/46250]	Loss: 0.5823	LR: 0.094475
Training Epoch: 1 [44288/46250]	Loss: 0.5591	LR: 0.095028
Training Epoch: 1 [44544/46250]	Loss: 0.5517	LR: 0.095580
Training Epoch: 1 [44800/46250]	Loss: 0.7454	LR: 0.096133
Training Epoch: 1 [45056/46250]	Loss: 0.8381	LR: 0.096685
Training Epoch: 1 [45312/46250]	Loss: 0.9089	LR: 0.097238
Training Epoch: 1 [45568/46250]	Loss: 0.6478	LR: 0.097790
Training Epoch: 1 [45824/46250]	Loss: 0.6567	LR: 0.098343
Training Epoch: 1 [46080/46250]	Loss: 0.6357	LR: 0.098895
Training Epoch: 1 [46250/46250]	Loss: 0.5897	LR: 0.099448
Epoch 1 - Average Train Loss: 0.4778, Train Accuracy: 0.8485
Epoch 1 training time consumed: 335.76s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0015, Accuracy: 0.8729, Time consumed:23.65s
Saving weights file to checkpoint/retrain/ViT/Thursday_17_July_2025_19h_44m_08s/ViT-Cifar10-seed2-ret25-1-best.pth
Training Epoch: 2 [256/46250]	Loss: 0.5657	LR: 0.100000
Training Epoch: 2 [512/46250]	Loss: 0.4771	LR: 0.100000
Training Epoch: 2 [768/46250]	Loss: 0.6158	LR: 0.100000
Training Epoch: 2 [1024/46250]	Loss: 0.4699	LR: 0.100000
Training Epoch: 2 [1280/46250]	Loss: 0.3787	LR: 0.100000
Training Epoch: 2 [1536/46250]	Loss: 0.4872	LR: 0.100000
Training Epoch: 2 [1792/46250]	Loss: 0.4284	LR: 0.100000
Training Epoch: 2 [2048/46250]	Loss: 0.4016	LR: 0.100000
Training Epoch: 2 [2304/46250]	Loss: 0.3436	LR: 0.100000
Training Epoch: 2 [2560/46250]	Loss: 0.3894	LR: 0.100000
Training Epoch: 2 [2816/46250]	Loss: 0.3007	LR: 0.100000
Training Epoch: 2 [3072/46250]	Loss: 0.3198	LR: 0.100000
Training Epoch: 2 [3328/46250]	Loss: 0.3784	LR: 0.100000
Training Epoch: 2 [3584/46250]	Loss: 0.4028	LR: 0.100000
Training Epoch: 2 [3840/46250]	Loss: 0.3544	LR: 0.100000
Training Epoch: 2 [4096/46250]	Loss: 0.2563	LR: 0.100000
Training Epoch: 2 [4352/46250]	Loss: 0.3748	LR: 0.100000
Training Epoch: 2 [4608/46250]	Loss: 0.5061	LR: 0.100000
Training Epoch: 2 [4864/46250]	Loss: 0.4293	LR: 0.100000
Training Epoch: 2 [5120/46250]	Loss: 0.3133	LR: 0.100000
Training Epoch: 2 [5376/46250]	Loss: 0.3623	LR: 0.100000
Training Epoch: 2 [5632/46250]	Loss: 0.5362	LR: 0.100000
Training Epoch: 2 [5888/46250]	Loss: 0.4111	LR: 0.100000
Training Epoch: 2 [6144/46250]	Loss: 0.4422	LR: 0.100000
Training Epoch: 2 [6400/46250]	Loss: 0.3489	LR: 0.100000
Training Epoch: 2 [6656/46250]	Loss: 0.4963	LR: 0.100000
Training Epoch: 2 [6912/46250]	Loss: 0.3432	LR: 0.100000
Training Epoch: 2 [7168/46250]	Loss: 0.5552	LR: 0.100000
Training Epoch: 2 [7424/46250]	Loss: 0.2813	LR: 0.100000
Training Epoch: 2 [7680/46250]	Loss: 0.5575	LR: 0.100000
Training Epoch: 2 [7936/46250]	Loss: 0.4047	LR: 0.100000
Training Epoch: 2 [8192/46250]	Loss: 0.3607	LR: 0.100000
Training Epoch: 2 [8448/46250]	Loss: 0.3142	LR: 0.100000
Training Epoch: 2 [8704/46250]	Loss: 0.2660	LR: 0.100000
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Training Epoch: 2 [9216/46250]	Loss: 0.2731	LR: 0.100000
Training Epoch: 2 [9472/46250]	Loss: 0.3309	LR: 0.100000
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Training Epoch: 2 [9984/46250]	Loss: 0.1989	LR: 0.100000
Training Epoch: 2 [10240/46250]	Loss: 0.3246	LR: 0.100000
Training Epoch: 2 [10496/46250]	Loss: 0.2940	LR: 0.100000
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Training Epoch: 2 [12800/46250]	Loss: 0.3041	LR: 0.100000
Training Epoch: 2 [13056/46250]	Loss: 0.1567	LR: 0.100000
Training Epoch: 2 [13312/46250]	Loss: 0.1914	LR: 0.100000
Training Epoch: 2 [13568/46250]	Loss: 0.2220	LR: 0.100000
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Training Epoch: 2 [14592/46250]	Loss: 0.2202	LR: 0.100000
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Training Epoch: 2 [15104/46250]	Loss: 0.2375	LR: 0.100000
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Training Epoch: 2 [16896/46250]	Loss: 0.3085	LR: 0.100000
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Training Epoch: 2 [19200/46250]	Loss: 0.1949	LR: 0.100000
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Training Epoch: 2 [46250/46250]	Loss: 0.0870	LR: 0.100000
Epoch 2 - Average Train Loss: 0.2590, Train Accuracy: 0.9121
Epoch 2 training time consumed: 335.11s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0004, Accuracy: 0.9644, Time consumed:23.62s
Saving weights file to checkpoint/retrain/ViT/Thursday_17_July_2025_19h_44m_08s/ViT-Cifar10-seed2-ret25-2-best.pth
Training Epoch: 3 [256/46250]	Loss: 0.1307	LR: 0.100000
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Training Epoch: 3 [46250/46250]	Loss: 0.1014	LR: 0.100000
Epoch 3 - Average Train Loss: 0.1550, Train Accuracy: 0.9471
Epoch 3 training time consumed: 335.32s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0006, Accuracy: 0.9513, Time consumed:23.64s
Training Epoch: 4 [256/46250]	Loss: 0.0788	LR: 0.100000
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Training Epoch: 4 [6656/46250]	Loss: 0.0589	LR: 0.100000
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Training Epoch: 4 [11008/46250]	Loss: 0.1735	LR: 0.100000
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Training Epoch: 4 [11520/46250]	Loss: 0.2296	LR: 0.100000
Training Epoch: 4 [11776/46250]	Loss: 0.1561	LR: 0.100000
Training Epoch: 4 [12032/46250]	Loss: 0.1871	LR: 0.100000
Training Epoch: 4 [12288/46250]	Loss: 0.2626	LR: 0.100000
Training Epoch: 4 [12544/46250]	Loss: 0.1851	LR: 0.100000
Training Epoch: 4 [12800/46250]	Loss: 0.1583	LR: 0.100000
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Training Epoch: 4 [16896/46250]	Loss: 0.2067	LR: 0.100000
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Training Epoch: 4 [17664/46250]	Loss: 0.0896	LR: 0.100000
Training Epoch: 4 [17920/46250]	Loss: 0.3137	LR: 0.100000
Training Epoch: 4 [18176/46250]	Loss: 0.1086	LR: 0.100000
Training Epoch: 4 [18432/46250]	Loss: 0.2479	LR: 0.100000
Training Epoch: 4 [18688/46250]	Loss: 0.1933	LR: 0.100000
Training Epoch: 4 [18944/46250]	Loss: 0.1586	LR: 0.100000
Training Epoch: 4 [19200/46250]	Loss: 0.2353	LR: 0.100000
Training Epoch: 4 [19456/46250]	Loss: 0.2069	LR: 0.100000
Training Epoch: 4 [19712/46250]	Loss: 0.1158	LR: 0.100000
Training Epoch: 4 [19968/46250]	Loss: 0.2437	LR: 0.100000
Training Epoch: 4 [20224/46250]	Loss: 0.2024	LR: 0.100000
Training Epoch: 4 [20480/46250]	Loss: 0.1505	LR: 0.100000
Training Epoch: 4 [20736/46250]	Loss: 0.1863	LR: 0.100000
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Training Epoch: 4 [21504/46250]	Loss: 0.1713	LR: 0.100000
Training Epoch: 4 [21760/46250]	Loss: 0.1583	LR: 0.100000
Training Epoch: 4 [22016/46250]	Loss: 0.1388	LR: 0.100000
Training Epoch: 4 [22272/46250]	Loss: 0.1301	LR: 0.100000
Training Epoch: 4 [22528/46250]	Loss: 0.2053	LR: 0.100000
Training Epoch: 4 [22784/46250]	Loss: 0.1414	LR: 0.100000
Training Epoch: 4 [23040/46250]	Loss: 0.1416	LR: 0.100000
Training Epoch: 4 [23296/46250]	Loss: 0.1585	LR: 0.100000
Training Epoch: 4 [23552/46250]	Loss: 0.1541	LR: 0.100000
Training Epoch: 4 [23808/46250]	Loss: 0.1861	LR: 0.100000
Training Epoch: 4 [24064/46250]	Loss: 0.1256	LR: 0.100000
Training Epoch: 4 [24320/46250]	Loss: 0.1554	LR: 0.100000
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Training Epoch: 4 [24832/46250]	Loss: 0.1307	LR: 0.100000
Training Epoch: 4 [25088/46250]	Loss: 0.1719	LR: 0.100000
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Training Epoch: 4 [25600/46250]	Loss: 0.1420	LR: 0.100000
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Training Epoch: 4 [26112/46250]	Loss: 0.1809	LR: 0.100000
Training Epoch: 4 [26368/46250]	Loss: 0.1130	LR: 0.100000
Training Epoch: 4 [26624/46250]	Loss: 0.1642	LR: 0.100000
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Training Epoch: 4 [27136/46250]	Loss: 0.1147	LR: 0.100000
Training Epoch: 4 [27392/46250]	Loss: 0.1553	LR: 0.100000
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Training Epoch: 4 [27904/46250]	Loss: 0.1357	LR: 0.100000
Training Epoch: 4 [28160/46250]	Loss: 0.1597	LR: 0.100000
Training Epoch: 4 [28416/46250]	Loss: 0.1316	LR: 0.100000
Training Epoch: 4 [28672/46250]	Loss: 0.1135	LR: 0.100000
Training Epoch: 4 [28928/46250]	Loss: 0.1267	LR: 0.100000
Training Epoch: 4 [29184/46250]	Loss: 0.1403	LR: 0.100000
Training Epoch: 4 [29440/46250]	Loss: 0.1848	LR: 0.100000
Training Epoch: 4 [29696/46250]	Loss: 0.1692	LR: 0.100000
Training Epoch: 4 [29952/46250]	Loss: 0.2008	LR: 0.100000
Training Epoch: 4 [30208/46250]	Loss: 0.0672	LR: 0.100000
Training Epoch: 4 [30464/46250]	Loss: 0.1615	LR: 0.100000
Training Epoch: 4 [30720/46250]	Loss: 0.0982	LR: 0.100000
Training Epoch: 4 [30976/46250]	Loss: 0.1870	LR: 0.100000
Training Epoch: 4 [31232/46250]	Loss: 0.1722	LR: 0.100000
Training Epoch: 4 [31488/46250]	Loss: 0.1079	LR: 0.100000
Training Epoch: 4 [31744/46250]	Loss: 0.1775	LR: 0.100000
Training Epoch: 4 [32000/46250]	Loss: 0.1519	LR: 0.100000
Training Epoch: 4 [32256/46250]	Loss: 0.1076	LR: 0.100000
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Training Epoch: 4 [32768/46250]	Loss: 0.1614	LR: 0.100000
Training Epoch: 4 [33024/46250]	Loss: 0.1597	LR: 0.100000
Training Epoch: 4 [33280/46250]	Loss: 0.0776	LR: 0.100000
Training Epoch: 4 [33536/46250]	Loss: 0.2703	LR: 0.100000
Training Epoch: 4 [33792/46250]	Loss: 0.1645	LR: 0.100000
Training Epoch: 4 [34048/46250]	Loss: 0.1440	LR: 0.100000
Training Epoch: 4 [34304/46250]	Loss: 0.1686	LR: 0.100000
Training Epoch: 4 [34560/46250]	Loss: 0.0955	LR: 0.100000
Training Epoch: 4 [34816/46250]	Loss: 0.2093	LR: 0.100000
Training Epoch: 4 [35072/46250]	Loss: 0.2590	LR: 0.100000
Training Epoch: 4 [35328/46250]	Loss: 0.2216	LR: 0.100000
Training Epoch: 4 [35584/46250]	Loss: 0.2873	LR: 0.100000
Training Epoch: 4 [35840/46250]	Loss: 0.2497	LR: 0.100000
Training Epoch: 4 [36096/46250]	Loss: 0.1863	LR: 0.100000
Training Epoch: 4 [36352/46250]	Loss: 0.2492	LR: 0.100000
Training Epoch: 4 [36608/46250]	Loss: 0.1150	LR: 0.100000
Training Epoch: 4 [36864/46250]	Loss: 0.1752	LR: 0.100000
Training Epoch: 4 [37120/46250]	Loss: 0.1766	LR: 0.100000
Training Epoch: 4 [37376/46250]	Loss: 0.2022	LR: 0.100000
Training Epoch: 4 [37632/46250]	Loss: 0.1991	LR: 0.100000
Training Epoch: 4 [37888/46250]	Loss: 0.1650	LR: 0.100000
Training Epoch: 4 [38144/46250]	Loss: 0.1421	LR: 0.100000
Training Epoch: 4 [38400/46250]	Loss: 0.1127	LR: 0.100000
Training Epoch: 4 [38656/46250]	Loss: 0.1743	LR: 0.100000
Training Epoch: 4 [38912/46250]	Loss: 0.1287	LR: 0.100000
Training Epoch: 4 [39168/46250]	Loss: 0.1583	LR: 0.100000
Training Epoch: 4 [39424/46250]	Loss: 0.1991	LR: 0.100000
Training Epoch: 4 [39680/46250]	Loss: 0.1700	LR: 0.100000
Training Epoch: 4 [39936/46250]	Loss: 0.1381	LR: 0.100000
Training Epoch: 4 [40192/46250]	Loss: 0.1450	LR: 0.100000
Training Epoch: 4 [40448/46250]	Loss: 0.1146	LR: 0.100000
Training Epoch: 4 [40704/46250]	Loss: 0.1436	LR: 0.100000
Training Epoch: 4 [40960/46250]	Loss: 0.0722	LR: 0.100000
Training Epoch: 4 [41216/46250]	Loss: 0.1349	LR: 0.100000
Training Epoch: 4 [41472/46250]	Loss: 0.1778	LR: 0.100000
Training Epoch: 4 [41728/46250]	Loss: 0.1478	LR: 0.100000
Training Epoch: 4 [41984/46250]	Loss: 0.1761	LR: 0.100000
Training Epoch: 4 [42240/46250]	Loss: 0.1326	LR: 0.100000
Training Epoch: 4 [42496/46250]	Loss: 0.1414	LR: 0.100000
Training Epoch: 4 [42752/46250]	Loss: 0.1761	LR: 0.100000
Training Epoch: 4 [43008/46250]	Loss: 0.1473	LR: 0.100000
Training Epoch: 4 [43264/46250]	Loss: 0.1151	LR: 0.100000
Training Epoch: 4 [43520/46250]	Loss: 0.0950	LR: 0.100000
Training Epoch: 4 [43776/46250]	Loss: 0.1360	LR: 0.100000
Training Epoch: 4 [44032/46250]	Loss: 0.2029	LR: 0.100000
Training Epoch: 4 [44288/46250]	Loss: 0.1033	LR: 0.100000
Training Epoch: 4 [44544/46250]	Loss: 0.1579	LR: 0.100000
Training Epoch: 4 [44800/46250]	Loss: 0.1090	LR: 0.100000
Training Epoch: 4 [45056/46250]	Loss: 0.1030	LR: 0.100000
Training Epoch: 4 [45312/46250]	Loss: 0.1364	LR: 0.100000
Training Epoch: 4 [45568/46250]	Loss: 0.1321	LR: 0.100000
Training Epoch: 4 [45824/46250]	Loss: 0.2250	LR: 0.100000
Training Epoch: 4 [46080/46250]	Loss: 0.1748	LR: 0.100000
Training Epoch: 4 [46250/46250]	Loss: 0.0856	LR: 0.100000
Epoch 4 - Average Train Loss: 0.1597, Train Accuracy: 0.9460
Epoch 4 training time consumed: 335.28s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0008, Accuracy: 0.9338, Time consumed:23.65s
Training Epoch: 5 [256/46250]	Loss: 0.0885	LR: 0.100000
Training Epoch: 5 [512/46250]	Loss: 0.2482	LR: 0.100000
Training Epoch: 5 [768/46250]	Loss: 0.1722	LR: 0.100000
Training Epoch: 5 [1024/46250]	Loss: 0.1844	LR: 0.100000
Training Epoch: 5 [1280/46250]	Loss: 0.2377	LR: 0.100000
Training Epoch: 5 [1536/46250]	Loss: 0.1649	LR: 0.100000
Training Epoch: 5 [1792/46250]	Loss: 0.1230	LR: 0.100000
Training Epoch: 5 [2048/46250]	Loss: 0.1634	LR: 0.100000
Training Epoch: 5 [2304/46250]	Loss: 0.1546	LR: 0.100000
Training Epoch: 5 [2560/46250]	Loss: 0.0961	LR: 0.100000
Training Epoch: 5 [2816/46250]	Loss: 0.2137	LR: 0.100000
Training Epoch: 5 [3072/46250]	Loss: 0.2262	LR: 0.100000
Training Epoch: 5 [3328/46250]	Loss: 0.1383	LR: 0.100000
Training Epoch: 5 [3584/46250]	Loss: 0.1378	LR: 0.100000
Training Epoch: 5 [3840/46250]	Loss: 0.1761	LR: 0.100000
Training Epoch: 5 [4096/46250]	Loss: 0.1428	LR: 0.100000
Training Epoch: 5 [4352/46250]	Loss: 0.1292	LR: 0.100000
Training Epoch: 5 [4608/46250]	Loss: 0.1550	LR: 0.100000
Training Epoch: 5 [4864/46250]	Loss: 0.1895	LR: 0.100000
Training Epoch: 5 [5120/46250]	Loss: 0.0882	LR: 0.100000
Training Epoch: 5 [5376/46250]	Loss: 0.1299	LR: 0.100000
Training Epoch: 5 [5632/46250]	Loss: 0.1550	LR: 0.100000
Training Epoch: 5 [5888/46250]	Loss: 0.1545	LR: 0.100000
Training Epoch: 5 [6144/46250]	Loss: 0.1960	LR: 0.100000
Training Epoch: 5 [6400/46250]	Loss: 0.1190	LR: 0.100000
Training Epoch: 5 [6656/46250]	Loss: 0.2399	LR: 0.100000
Training Epoch: 5 [6912/46250]	Loss: 0.1941	LR: 0.100000
Training Epoch: 5 [7168/46250]	Loss: 0.1790	LR: 0.100000
Training Epoch: 5 [7424/46250]	Loss: 0.1579	LR: 0.100000
Training Epoch: 5 [7680/46250]	Loss: 0.2079	LR: 0.100000
Training Epoch: 5 [7936/46250]	Loss: 0.1252	LR: 0.100000
Training Epoch: 5 [8192/46250]	Loss: 0.1324	LR: 0.100000
Training Epoch: 5 [8448/46250]	Loss: 0.1760	LR: 0.100000
Training Epoch: 5 [8704/46250]	Loss: 0.2613	LR: 0.100000
Training Epoch: 5 [8960/46250]	Loss: 0.2024	LR: 0.100000
Training Epoch: 5 [9216/46250]	Loss: 0.1020	LR: 0.100000
Training Epoch: 5 [9472/46250]	Loss: 0.2066	LR: 0.100000
Training Epoch: 5 [9728/46250]	Loss: 0.0996	LR: 0.100000
Training Epoch: 5 [9984/46250]	Loss: 0.1596	LR: 0.100000
Training Epoch: 5 [10240/46250]	Loss: 0.1469	LR: 0.100000
Training Epoch: 5 [10496/46250]	Loss: 0.0934	LR: 0.100000
Training Epoch: 5 [10752/46250]	Loss: 0.1393	LR: 0.100000
Training Epoch: 5 [11008/46250]	Loss: 0.1167	LR: 0.100000
Training Epoch: 5 [11264/46250]	Loss: 0.1106	LR: 0.100000
Training Epoch: 5 [11520/46250]	Loss: 0.1310	LR: 0.100000
Training Epoch: 5 [11776/46250]	Loss: 0.1229	LR: 0.100000
Training Epoch: 5 [12032/46250]	Loss: 0.0953	LR: 0.100000
Training Epoch: 5 [12288/46250]	Loss: 0.1686	LR: 0.100000
Training Epoch: 5 [12544/46250]	Loss: 0.1599	LR: 0.100000
Training Epoch: 5 [12800/46250]	Loss: 0.1123	LR: 0.100000
Training Epoch: 5 [13056/46250]	Loss: 0.1535	LR: 0.100000
Training Epoch: 5 [13312/46250]	Loss: 0.1327	LR: 0.100000
Training Epoch: 5 [13568/46250]	Loss: 0.1411	LR: 0.100000
Training Epoch: 5 [13824/46250]	Loss: 0.2081	LR: 0.100000
Training Epoch: 5 [14080/46250]	Loss: 0.1428	LR: 0.100000
Training Epoch: 5 [14336/46250]	Loss: 0.1545	LR: 0.100000
Training Epoch: 5 [14592/46250]	Loss: 0.1164	LR: 0.100000
Training Epoch: 5 [14848/46250]	Loss: 0.1728	LR: 0.100000
Training Epoch: 5 [15104/46250]	Loss: 0.1947	LR: 0.100000
Training Epoch: 5 [15360/46250]	Loss: 0.1215	LR: 0.100000
Training Epoch: 5 [15616/46250]	Loss: 0.1438	LR: 0.100000
Training Epoch: 5 [15872/46250]	Loss: 0.1040	LR: 0.100000
Training Epoch: 5 [16128/46250]	Loss: 0.2598	LR: 0.100000
Training Epoch: 5 [16384/46250]	Loss: 0.1875	LR: 0.100000
Training Epoch: 5 [16640/46250]	Loss: 0.1939	LR: 0.100000
Training Epoch: 5 [16896/46250]	Loss: 0.1516	LR: 0.100000
Training Epoch: 5 [17152/46250]	Loss: 0.1531	LR: 0.100000
Training Epoch: 5 [17408/46250]	Loss: 0.2024	LR: 0.100000
Training Epoch: 5 [17664/46250]	Loss: 0.1244	LR: 0.100000
Training Epoch: 5 [17920/46250]	Loss: 0.1542	LR: 0.100000
Training Epoch: 5 [18176/46250]	Loss: 0.2054	LR: 0.100000
Training Epoch: 5 [18432/46250]	Loss: 0.1725	LR: 0.100000
Training Epoch: 5 [18688/46250]	Loss: 0.1564	LR: 0.100000
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Training Epoch: 5 [19200/46250]	Loss: 0.1398	LR: 0.100000
Training Epoch: 5 [19456/46250]	Loss: 0.1908	LR: 0.100000
Training Epoch: 5 [19712/46250]	Loss: 0.1076	LR: 0.100000
Training Epoch: 5 [19968/46250]	Loss: 0.2323	LR: 0.100000
Training Epoch: 5 [20224/46250]	Loss: 0.0923	LR: 0.100000
Training Epoch: 5 [20480/46250]	Loss: 0.1130	LR: 0.100000
Training Epoch: 5 [20736/46250]	Loss: 0.1641	LR: 0.100000
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Training Epoch: 5 [22016/46250]	Loss: 0.1186	LR: 0.100000
Training Epoch: 5 [22272/46250]	Loss: 0.1978	LR: 0.100000
Training Epoch: 5 [22528/46250]	Loss: 0.1714	LR: 0.100000
Training Epoch: 5 [22784/46250]	Loss: 0.1867	LR: 0.100000
Training Epoch: 5 [23040/46250]	Loss: 0.1059	LR: 0.100000
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Training Epoch: 5 [23552/46250]	Loss: 0.1663	LR: 0.100000
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Training Epoch: 5 [24320/46250]	Loss: 0.1000	LR: 0.100000
Training Epoch: 5 [24576/46250]	Loss: 0.2284	LR: 0.100000
Training Epoch: 5 [24832/46250]	Loss: 0.1739	LR: 0.100000
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Training Epoch: 5 [25344/46250]	Loss: 0.1506	LR: 0.100000
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Training Epoch: 5 [27136/46250]	Loss: 0.2796	LR: 0.100000
Training Epoch: 5 [27392/46250]	Loss: 0.2027	LR: 0.100000
Training Epoch: 5 [27648/46250]	Loss: 0.1707	LR: 0.100000
Training Epoch: 5 [27904/46250]	Loss: 0.1994	LR: 0.100000
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Training Epoch: 5 [29440/46250]	Loss: 0.1222	LR: 0.100000
Training Epoch: 5 [29696/46250]	Loss: 0.1522	LR: 0.100000
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Training Epoch: 5 [30464/46250]	Loss: 0.1875	LR: 0.100000
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Training Epoch: 5 [34560/46250]	Loss: 0.1701	LR: 0.100000
Training Epoch: 5 [34816/46250]	Loss: 0.1317	LR: 0.100000
Training Epoch: 5 [35072/46250]	Loss: 0.2133	LR: 0.100000
Training Epoch: 5 [35328/46250]	Loss: 0.1823	LR: 0.100000
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Training Epoch: 5 [35840/46250]	Loss: 0.1712	LR: 0.100000
Training Epoch: 5 [36096/46250]	Loss: 0.1932	LR: 0.100000
Training Epoch: 5 [36352/46250]	Loss: 0.2365	LR: 0.100000
Training Epoch: 5 [36608/46250]	Loss: 0.1510	LR: 0.100000
Training Epoch: 5 [36864/46250]	Loss: 0.1261	LR: 0.100000
Training Epoch: 5 [37120/46250]	Loss: 0.0689	LR: 0.100000
Training Epoch: 5 [37376/46250]	Loss: 0.1436	LR: 0.100000
Training Epoch: 5 [37632/46250]	Loss: 0.1550	LR: 0.100000
Training Epoch: 5 [37888/46250]	Loss: 0.2029	LR: 0.100000
Training Epoch: 5 [38144/46250]	Loss: 0.2553	LR: 0.100000
Training Epoch: 5 [38400/46250]	Loss: 0.1680	LR: 0.100000
Training Epoch: 5 [38656/46250]	Loss: 0.2163	LR: 0.100000
Training Epoch: 5 [38912/46250]	Loss: 0.1949	LR: 0.100000
Training Epoch: 5 [39168/46250]	Loss: 0.3235	LR: 0.100000
Training Epoch: 5 [39424/46250]	Loss: 0.1890	LR: 0.100000
Training Epoch: 5 [39680/46250]	Loss: 0.2071	LR: 0.100000
Training Epoch: 5 [39936/46250]	Loss: 0.2673	LR: 0.100000
Training Epoch: 5 [40192/46250]	Loss: 0.1923	LR: 0.100000
Training Epoch: 5 [40448/46250]	Loss: 0.2131	LR: 0.100000
Training Epoch: 5 [40704/46250]	Loss: 0.2822	LR: 0.100000
Training Epoch: 5 [40960/46250]	Loss: 0.2447	LR: 0.100000
Training Epoch: 5 [41216/46250]	Loss: 0.2280	LR: 0.100000
Training Epoch: 5 [41472/46250]	Loss: 0.2305	LR: 0.100000
Training Epoch: 5 [41728/46250]	Loss: 0.1901	LR: 0.100000
Training Epoch: 5 [41984/46250]	Loss: 0.2080	LR: 0.100000
Training Epoch: 5 [42240/46250]	Loss: 0.1819	LR: 0.100000
Training Epoch: 5 [42496/46250]	Loss: 0.1659	LR: 0.100000
Training Epoch: 5 [42752/46250]	Loss: 0.2317	LR: 0.100000
Training Epoch: 5 [43008/46250]	Loss: 0.1478	LR: 0.100000
Training Epoch: 5 [43264/46250]	Loss: 0.1467	LR: 0.100000
Training Epoch: 5 [43520/46250]	Loss: 0.1407	LR: 0.100000
Training Epoch: 5 [43776/46250]	Loss: 0.1570	LR: 0.100000
Training Epoch: 5 [44032/46250]	Loss: 0.1416	LR: 0.100000
Training Epoch: 5 [44288/46250]	Loss: 0.1565	LR: 0.100000
Training Epoch: 5 [44544/46250]	Loss: 0.2665	LR: 0.100000
Training Epoch: 5 [44800/46250]	Loss: 0.1989	LR: 0.100000
Training Epoch: 5 [45056/46250]	Loss: 0.1454	LR: 0.100000
Training Epoch: 5 [45312/46250]	Loss: 0.2630	LR: 0.100000
Training Epoch: 5 [45568/46250]	Loss: 0.1578	LR: 0.100000
Training Epoch: 5 [45824/46250]	Loss: 0.1301	LR: 0.100000
Training Epoch: 5 [46080/46250]	Loss: 0.2823	LR: 0.100000
Training Epoch: 5 [46250/46250]	Loss: 0.1969	LR: 0.100000
Epoch 5 - Average Train Loss: 0.1707, Train Accuracy: 0.9418
Epoch 5 training time consumed: 335.33s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0007, Accuracy: 0.9392, Time consumed:23.62s
Training Epoch: 6 [256/46250]	Loss: 0.1431	LR: 0.100000
Training Epoch: 6 [512/46250]	Loss: 0.1803	LR: 0.100000
Training Epoch: 6 [768/46250]	Loss: 0.1664	LR: 0.100000
Training Epoch: 6 [1024/46250]	Loss: 0.1873	LR: 0.100000
Training Epoch: 6 [1280/46250]	Loss: 0.2029	LR: 0.100000
Training Epoch: 6 [1536/46250]	Loss: 0.1646	LR: 0.100000
Training Epoch: 6 [1792/46250]	Loss: 0.1643	LR: 0.100000
Training Epoch: 6 [2048/46250]	Loss: 0.1581	LR: 0.100000
Training Epoch: 6 [2304/46250]	Loss: 0.1247	LR: 0.100000
Training Epoch: 6 [2560/46250]	Loss: 0.1321	LR: 0.100000
Training Epoch: 6 [2816/46250]	Loss: 0.2005	LR: 0.100000
Training Epoch: 6 [3072/46250]	Loss: 0.1427	LR: 0.100000
Training Epoch: 6 [3328/46250]	Loss: 0.2119	LR: 0.100000
Training Epoch: 6 [3584/46250]	Loss: 0.2015	LR: 0.100000
Training Epoch: 6 [3840/46250]	Loss: 0.2159	LR: 0.100000
Training Epoch: 6 [4096/46250]	Loss: 0.2143	LR: 0.100000
Training Epoch: 6 [4352/46250]	Loss: 0.1815	LR: 0.100000
Training Epoch: 6 [4608/46250]	Loss: 0.2186	LR: 0.100000
Training Epoch: 6 [4864/46250]	Loss: 0.1405	LR: 0.100000
Training Epoch: 6 [5120/46250]	Loss: 0.2437	LR: 0.100000
Training Epoch: 6 [5376/46250]	Loss: 0.1904	LR: 0.100000
Training Epoch: 6 [5632/46250]	Loss: 0.1624	LR: 0.100000
Training Epoch: 6 [5888/46250]	Loss: 0.1832	LR: 0.100000
Training Epoch: 6 [6144/46250]	Loss: 0.2279	LR: 0.100000
Training Epoch: 6 [6400/46250]	Loss: 0.1315	LR: 0.100000
Training Epoch: 6 [6656/46250]	Loss: 0.1442	LR: 0.100000
Training Epoch: 6 [6912/46250]	Loss: 0.2305	LR: 0.100000
Training Epoch: 6 [7168/46250]	Loss: 0.2040	LR: 0.100000
Training Epoch: 6 [7424/46250]	Loss: 0.1843	LR: 0.100000
Training Epoch: 6 [7680/46250]	Loss: 0.1590	LR: 0.100000
Training Epoch: 6 [7936/46250]	Loss: 0.2314	LR: 0.100000
Training Epoch: 6 [8192/46250]	Loss: 0.2171	LR: 0.100000
Training Epoch: 6 [8448/46250]	Loss: 0.2412	LR: 0.100000
Training Epoch: 6 [8704/46250]	Loss: 0.1520	LR: 0.100000
Training Epoch: 6 [8960/46250]	Loss: 0.2067	LR: 0.100000
Training Epoch: 6 [9216/46250]	Loss: 0.2407	LR: 0.100000
Training Epoch: 6 [9472/46250]	Loss: 0.3106	LR: 0.100000
Training Epoch: 6 [9728/46250]	Loss: 0.3630	LR: 0.100000
Training Epoch: 6 [9984/46250]	Loss: 0.2065	LR: 0.100000
Training Epoch: 6 [10240/46250]	Loss: 0.2864	LR: 0.100000
Training Epoch: 6 [10496/46250]	Loss: 0.1487	LR: 0.100000
Training Epoch: 6 [10752/46250]	Loss: 0.2069	LR: 0.100000
Training Epoch: 6 [11008/46250]	Loss: 0.1502	LR: 0.100000
Training Epoch: 6 [11264/46250]	Loss: 0.2194	LR: 0.100000
Training Epoch: 6 [11520/46250]	Loss: 0.2236	LR: 0.100000
Training Epoch: 6 [11776/46250]	Loss: 0.2539	LR: 0.100000
Training Epoch: 6 [12032/46250]	Loss: 0.2154	LR: 0.100000
Training Epoch: 6 [12288/46250]	Loss: 0.1241	LR: 0.100000
Training Epoch: 6 [12544/46250]	Loss: 0.2880	LR: 0.100000
Training Epoch: 6 [12800/46250]	Loss: 0.1484	LR: 0.100000
Training Epoch: 6 [13056/46250]	Loss: 0.2049	LR: 0.100000
Training Epoch: 6 [13312/46250]	Loss: 0.2630	LR: 0.100000
Training Epoch: 6 [13568/46250]	Loss: 0.1492	LR: 0.100000
Training Epoch: 6 [13824/46250]	Loss: 0.2296	LR: 0.100000
Training Epoch: 6 [14080/46250]	Loss: 0.2699	LR: 0.100000
Training Epoch: 6 [14336/46250]	Loss: 0.1256	LR: 0.100000
Training Epoch: 6 [14592/46250]	Loss: 0.1688	LR: 0.100000
Training Epoch: 6 [14848/46250]	Loss: 0.2381	LR: 0.100000
Training Epoch: 6 [15104/46250]	Loss: 0.2064	LR: 0.100000
Training Epoch: 6 [15360/46250]	Loss: 0.1669	LR: 0.100000
Training Epoch: 6 [15616/46250]	Loss: 0.1893	LR: 0.100000
Training Epoch: 6 [15872/46250]	Loss: 0.2782	LR: 0.100000
Training Epoch: 6 [16128/46250]	Loss: 0.2678	LR: 0.100000
Training Epoch: 6 [16384/46250]	Loss: 0.1541	LR: 0.100000
Training Epoch: 6 [16640/46250]	Loss: 0.1877	LR: 0.100000
Training Epoch: 6 [16896/46250]	Loss: 0.2976	LR: 0.100000
Training Epoch: 6 [17152/46250]	Loss: 0.2098	LR: 0.100000
Training Epoch: 6 [17408/46250]	Loss: 0.1362	LR: 0.100000
Training Epoch: 6 [17664/46250]	Loss: 0.1546	LR: 0.100000
Training Epoch: 6 [17920/46250]	Loss: 0.0944	LR: 0.100000
Training Epoch: 6 [18176/46250]	Loss: 0.1667	LR: 0.100000
Training Epoch: 6 [18432/46250]	Loss: 0.1791	LR: 0.100000
Training Epoch: 6 [18688/46250]	Loss: 0.1276	LR: 0.100000
Training Epoch: 6 [18944/46250]	Loss: 0.1690	LR: 0.100000
Training Epoch: 6 [19200/46250]	Loss: 0.1462	LR: 0.100000
Training Epoch: 6 [19456/46250]	Loss: 0.1682	LR: 0.100000
Training Epoch: 6 [19712/46250]	Loss: 0.1885	LR: 0.100000
Training Epoch: 6 [19968/46250]	Loss: 0.2361	LR: 0.100000
Training Epoch: 6 [20224/46250]	Loss: 0.1773	LR: 0.100000
Training Epoch: 6 [20480/46250]	Loss: 0.1716	LR: 0.100000
Training Epoch: 6 [20736/46250]	Loss: 0.1539	LR: 0.100000
Training Epoch: 6 [20992/46250]	Loss: 0.1369	LR: 0.100000
Training Epoch: 6 [21248/46250]	Loss: 0.1131	LR: 0.100000
Training Epoch: 6 [21504/46250]	Loss: 0.2439	LR: 0.100000
Training Epoch: 6 [21760/46250]	Loss: 0.1243	LR: 0.100000
Training Epoch: 6 [22016/46250]	Loss: 0.2713	LR: 0.100000
Training Epoch: 6 [22272/46250]	Loss: 0.3116	LR: 0.100000
Training Epoch: 6 [22528/46250]	Loss: 0.2199	LR: 0.100000
Training Epoch: 6 [22784/46250]	Loss: 0.1852	LR: 0.100000
Training Epoch: 6 [23040/46250]	Loss: 0.1503	LR: 0.100000
Training Epoch: 6 [23296/46250]	Loss: 0.1520	LR: 0.100000
Training Epoch: 6 [23552/46250]	Loss: 0.2015	LR: 0.100000
Training Epoch: 6 [23808/46250]	Loss: 0.1042	LR: 0.100000
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Training Epoch: 6 [24832/46250]	Loss: 0.1564	LR: 0.100000
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Training Epoch: 6 [25344/46250]	Loss: 0.2153	LR: 0.100000
Training Epoch: 6 [25600/46250]	Loss: 0.1961	LR: 0.100000
Training Epoch: 6 [25856/46250]	Loss: 0.2650	LR: 0.100000
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Training Epoch: 6 [26368/46250]	Loss: 0.1806	LR: 0.100000
Training Epoch: 6 [26624/46250]	Loss: 0.2340	LR: 0.100000
Training Epoch: 6 [26880/46250]	Loss: 0.3775	LR: 0.100000
Training Epoch: 6 [27136/46250]	Loss: 0.1728	LR: 0.100000
Training Epoch: 6 [27392/46250]	Loss: 0.2048	LR: 0.100000
Training Epoch: 6 [27648/46250]	Loss: 0.1704	LR: 0.100000
Training Epoch: 6 [27904/46250]	Loss: 0.1863	LR: 0.100000
Training Epoch: 6 [28160/46250]	Loss: 0.1856	LR: 0.100000
Training Epoch: 6 [28416/46250]	Loss: 0.1718	LR: 0.100000
Training Epoch: 6 [28672/46250]	Loss: 0.1820	LR: 0.100000
Training Epoch: 6 [28928/46250]	Loss: 0.1960	LR: 0.100000
Training Epoch: 6 [29184/46250]	Loss: 0.1393	LR: 0.100000
Training Epoch: 6 [29440/46250]	Loss: 0.1608	LR: 0.100000
Training Epoch: 6 [29696/46250]	Loss: 0.2142	LR: 0.100000
Training Epoch: 6 [29952/46250]	Loss: 0.1903	LR: 0.100000
Training Epoch: 6 [30208/46250]	Loss: 0.1406	LR: 0.100000
Training Epoch: 6 [30464/46250]	Loss: 0.0793	LR: 0.100000
Training Epoch: 6 [30720/46250]	Loss: 0.1439	LR: 0.100000
Training Epoch: 6 [30976/46250]	Loss: 0.1754	LR: 0.100000
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Training Epoch: 6 [34816/46250]	Loss: 0.1796	LR: 0.100000
Training Epoch: 6 [35072/46250]	Loss: 0.1464	LR: 0.100000
Training Epoch: 6 [35328/46250]	Loss: 0.1182	LR: 0.100000
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Training Epoch: 6 [35840/46250]	Loss: 0.2235	LR: 0.100000
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Training Epoch: 6 [36352/46250]	Loss: 0.1709	LR: 0.100000
Training Epoch: 6 [36608/46250]	Loss: 0.1532	LR: 0.100000
Training Epoch: 6 [36864/46250]	Loss: 0.1675	LR: 0.100000
Training Epoch: 6 [37120/46250]	Loss: 0.2141	LR: 0.100000
Training Epoch: 6 [37376/46250]	Loss: 0.1398	LR: 0.100000
Training Epoch: 6 [37632/46250]	Loss: 0.1802	LR: 0.100000
Training Epoch: 6 [37888/46250]	Loss: 0.2187	LR: 0.100000
Training Epoch: 6 [38144/46250]	Loss: 0.1976	LR: 0.100000
Training Epoch: 6 [38400/46250]	Loss: 0.2500	LR: 0.100000
Training Epoch: 6 [38656/46250]	Loss: 0.1154	LR: 0.100000
Training Epoch: 6 [38912/46250]	Loss: 0.1914	LR: 0.100000
Training Epoch: 6 [39168/46250]	Loss: 0.2030	LR: 0.100000
Training Epoch: 6 [39424/46250]	Loss: 0.2823	LR: 0.100000
Training Epoch: 6 [39680/46250]	Loss: 0.1399	LR: 0.100000
Training Epoch: 6 [39936/46250]	Loss: 0.2064	LR: 0.100000
Training Epoch: 6 [40192/46250]	Loss: 0.2947	LR: 0.100000
Training Epoch: 6 [40448/46250]	Loss: 0.1650	LR: 0.100000
Training Epoch: 6 [40704/46250]	Loss: 0.2233	LR: 0.100000
Training Epoch: 6 [40960/46250]	Loss: 0.1944	LR: 0.100000
Training Epoch: 6 [41216/46250]	Loss: 0.2283	LR: 0.100000
Training Epoch: 6 [41472/46250]	Loss: 0.2467	LR: 0.100000
Training Epoch: 6 [41728/46250]	Loss: 0.2270	LR: 0.100000
Training Epoch: 6 [41984/46250]	Loss: 0.2052	LR: 0.100000
Training Epoch: 6 [42240/46250]	Loss: 0.2055	LR: 0.100000
Training Epoch: 6 [42496/46250]	Loss: 0.2108	LR: 0.100000
Training Epoch: 6 [42752/46250]	Loss: 0.2042	LR: 0.100000
Training Epoch: 6 [43008/46250]	Loss: 0.2090	LR: 0.100000
Training Epoch: 6 [43264/46250]	Loss: 0.2460	LR: 0.100000
Training Epoch: 6 [43520/46250]	Loss: 0.2014	LR: 0.100000
Training Epoch: 6 [43776/46250]	Loss: 0.2257	LR: 0.100000
Training Epoch: 6 [44032/46250]	Loss: 0.2756	LR: 0.100000
Training Epoch: 6 [44288/46250]	Loss: 0.1526	LR: 0.100000
Training Epoch: 6 [44544/46250]	Loss: 0.2629	LR: 0.100000
Training Epoch: 6 [44800/46250]	Loss: 0.2702	LR: 0.100000
Training Epoch: 6 [45056/46250]	Loss: 0.2101	LR: 0.100000
Training Epoch: 6 [45312/46250]	Loss: 0.2981	LR: 0.100000
Training Epoch: 6 [45568/46250]	Loss: 0.2572	LR: 0.100000
Training Epoch: 6 [45824/46250]	Loss: 0.2705	LR: 0.100000
Training Epoch: 6 [46080/46250]	Loss: 0.2614	LR: 0.100000
Training Epoch: 6 [46250/46250]	Loss: 0.2550	LR: 0.100000
Epoch 6 - Average Train Loss: 0.1970, Train Accuracy: 0.9330
Epoch 6 training time consumed: 335.31s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0009, Accuracy: 0.9211, Time consumed:23.64s
Training Epoch: 7 [256/46250]	Loss: 0.1838	LR: 0.020000
Training Epoch: 7 [512/46250]	Loss: 0.2373	LR: 0.020000
Training Epoch: 7 [768/46250]	Loss: 0.1397	LR: 0.020000
Training Epoch: 7 [1024/46250]	Loss: 0.1082	LR: 0.020000
Training Epoch: 7 [1280/46250]	Loss: 0.1759	LR: 0.020000
Training Epoch: 7 [1536/46250]	Loss: 0.1011	LR: 0.020000
Training Epoch: 7 [1792/46250]	Loss: 0.1262	LR: 0.020000
Training Epoch: 7 [2048/46250]	Loss: 0.2056	LR: 0.020000
Training Epoch: 7 [2304/46250]	Loss: 0.1364	LR: 0.020000
Training Epoch: 7 [2560/46250]	Loss: 0.1197	LR: 0.020000
Training Epoch: 7 [2816/46250]	Loss: 0.1085	LR: 0.020000
Training Epoch: 7 [3072/46250]	Loss: 0.1881	LR: 0.020000
Training Epoch: 7 [3328/46250]	Loss: 0.0960	LR: 0.020000
Training Epoch: 7 [3584/46250]	Loss: 0.0770	LR: 0.020000
Training Epoch: 7 [3840/46250]	Loss: 0.1229	LR: 0.020000
Training Epoch: 7 [4096/46250]	Loss: 0.0892	LR: 0.020000
Training Epoch: 7 [4352/46250]	Loss: 0.0851	LR: 0.020000
Training Epoch: 7 [4608/46250]	Loss: 0.1068	LR: 0.020000
Training Epoch: 7 [4864/46250]	Loss: 0.0662	LR: 0.020000
Training Epoch: 7 [5120/46250]	Loss: 0.1081	LR: 0.020000
Training Epoch: 7 [5376/46250]	Loss: 0.1128	LR: 0.020000
Training Epoch: 7 [5632/46250]	Loss: 0.0349	LR: 0.020000
Training Epoch: 7 [5888/46250]	Loss: 0.0801	LR: 0.020000
Training Epoch: 7 [6144/46250]	Loss: 0.0911	LR: 0.020000
Training Epoch: 7 [6400/46250]	Loss: 0.1441	LR: 0.020000
Training Epoch: 7 [6656/46250]	Loss: 0.0928	LR: 0.020000
Training Epoch: 7 [6912/46250]	Loss: 0.0627	LR: 0.020000
Training Epoch: 7 [7168/46250]	Loss: 0.0823	LR: 0.020000
Training Epoch: 7 [7424/46250]	Loss: 0.0457	LR: 0.020000
Training Epoch: 7 [7680/46250]	Loss: 0.0666	LR: 0.020000
Training Epoch: 7 [7936/46250]	Loss: 0.0758	LR: 0.020000
Training Epoch: 7 [8192/46250]	Loss: 0.0503	LR: 0.020000
Training Epoch: 7 [8448/46250]	Loss: 0.0529	LR: 0.020000
Training Epoch: 7 [8704/46250]	Loss: 0.0303	LR: 0.020000
Training Epoch: 7 [8960/46250]	Loss: 0.0713	LR: 0.020000
Training Epoch: 7 [9216/46250]	Loss: 0.0991	LR: 0.020000
Training Epoch: 7 [9472/46250]	Loss: 0.0715	LR: 0.020000
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Training Epoch: 7 [9984/46250]	Loss: 0.0928	LR: 0.020000
Training Epoch: 7 [10240/46250]	Loss: 0.0687	LR: 0.020000
Training Epoch: 7 [10496/46250]	Loss: 0.0637	LR: 0.020000
Training Epoch: 7 [10752/46250]	Loss: 0.0680	LR: 0.020000
Training Epoch: 7 [11008/46250]	Loss: 0.0611	LR: 0.020000
Training Epoch: 7 [11264/46250]	Loss: 0.0679	LR: 0.020000
Training Epoch: 7 [11520/46250]	Loss: 0.0747	LR: 0.020000
Training Epoch: 7 [11776/46250]	Loss: 0.0571	LR: 0.020000
Training Epoch: 7 [12032/46250]	Loss: 0.1288	LR: 0.020000
Training Epoch: 7 [12288/46250]	Loss: 0.0231	LR: 0.020000
Training Epoch: 7 [12544/46250]	Loss: 0.0486	LR: 0.020000
Training Epoch: 7 [12800/46250]	Loss: 0.0440	LR: 0.020000
Training Epoch: 7 [13056/46250]	Loss: 0.0705	LR: 0.020000
Training Epoch: 7 [13312/46250]	Loss: 0.0727	LR: 0.020000
Training Epoch: 7 [13568/46250]	Loss: 0.0421	LR: 0.020000
Training Epoch: 7 [13824/46250]	Loss: 0.0514	LR: 0.020000
Training Epoch: 7 [14080/46250]	Loss: 0.0657	LR: 0.020000
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Training Epoch: 7 [15616/46250]	Loss: 0.0757	LR: 0.020000
Training Epoch: 7 [15872/46250]	Loss: 0.0677	LR: 0.020000
Training Epoch: 7 [16128/46250]	Loss: 0.0861	LR: 0.020000
Training Epoch: 7 [16384/46250]	Loss: 0.0577	LR: 0.020000
Training Epoch: 7 [16640/46250]	Loss: 0.0827	LR: 0.020000
Training Epoch: 7 [16896/46250]	Loss: 0.0461	LR: 0.020000
Training Epoch: 7 [17152/46250]	Loss: 0.0779	LR: 0.020000
Training Epoch: 7 [17408/46250]	Loss: 0.0508	LR: 0.020000
Training Epoch: 7 [17664/46250]	Loss: 0.0466	LR: 0.020000
Training Epoch: 7 [17920/46250]	Loss: 0.0250	LR: 0.020000
Training Epoch: 7 [18176/46250]	Loss: 0.0283	LR: 0.020000
Training Epoch: 7 [18432/46250]	Loss: 0.0455	LR: 0.020000
Training Epoch: 7 [18688/46250]	Loss: 0.0350	LR: 0.020000
Training Epoch: 7 [18944/46250]	Loss: 0.0436	LR: 0.020000
Training Epoch: 7 [19200/46250]	Loss: 0.0636	LR: 0.020000
Training Epoch: 7 [19456/46250]	Loss: 0.0518	LR: 0.020000
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Training Epoch: 7 [43520/46250]	Loss: 0.0254	LR: 0.020000
Training Epoch: 7 [43776/46250]	Loss: 0.0556	LR: 0.020000
Training Epoch: 7 [44032/46250]	Loss: 0.0444	LR: 0.020000
Training Epoch: 7 [44288/46250]	Loss: 0.0267	LR: 0.020000
Training Epoch: 7 [44544/46250]	Loss: 0.0307	LR: 0.020000
Training Epoch: 7 [44800/46250]	Loss: 0.0561	LR: 0.020000
Training Epoch: 7 [45056/46250]	Loss: 0.0360	LR: 0.020000
Training Epoch: 7 [45312/46250]	Loss: 0.0686	LR: 0.020000
Training Epoch: 7 [45568/46250]	Loss: 0.0440	LR: 0.020000
Training Epoch: 7 [45824/46250]	Loss: 0.0305	LR: 0.020000
Training Epoch: 7 [46080/46250]	Loss: 0.0619	LR: 0.020000
Training Epoch: 7 [46250/46250]	Loss: 0.0646	LR: 0.020000
Epoch 7 - Average Train Loss: 0.0666, Train Accuracy: 0.9773
Epoch 7 training time consumed: 335.19s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0003, Accuracy: 0.9731, Time consumed:23.52s
Saving weights file to checkpoint/retrain/ViT/Thursday_17_July_2025_19h_44m_08s/ViT-Cifar10-seed2-ret25-7-best.pth
Training Epoch: 8 [256/46250]	Loss: 0.0556	LR: 0.020000
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Training Epoch: 8 [24576/46250]	Loss: 0.0241	LR: 0.020000
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Training Epoch: 8 [36352/46250]	Loss: 0.0288	LR: 0.020000
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Training Epoch: 8 [37888/46250]	Loss: 0.0370	LR: 0.020000
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Training Epoch: 8 [38656/46250]	Loss: 0.0322	LR: 0.020000
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Training Epoch: 8 [46080/46250]	Loss: 0.0918	LR: 0.020000
Training Epoch: 8 [46250/46250]	Loss: 0.0218	LR: 0.020000
Epoch 8 - Average Train Loss: 0.0411, Train Accuracy: 0.9858
Epoch 8 training time consumed: 334.27s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0003, Accuracy: 0.9726, Time consumed:23.55s
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: 97.32421875
Retain Accuracy: 98.81299591064453
Zero-Retain Forget (ZRF): 0.7734214067459106
Membership Inference Attack (MIA): 0.8072
Forget vs Retain Membership Inference Attack (MIA): 0.5433333333333333
Forget vs Test Membership Inference Attack (MIA): 0.536
Test vs Retain Membership Inference Attack (MIA): 0.5125
Train vs Test Membership Inference Attack (MIA): 0.5135
Forget Set Accuracy (Df): 96.087158203125
Method Execution Time: 5285.41 seconds
