
Retain class distribution for seed 5:
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

Forget class distribution for seed 5:
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
⚠️ Warning: Retain train loader may not be shuffled.
Training Epoch: 1 [256/46250]	Loss: 2.3481	LR: 0.000000
Training Epoch: 1 [512/46250]	Loss: 2.3560	LR: 0.000552
Training Epoch: 1 [768/46250]	Loss: 2.3513	LR: 0.001105
Training Epoch: 1 [1024/46250]	Loss: 2.3260	LR: 0.001657
Training Epoch: 1 [1280/46250]	Loss: 2.2956	LR: 0.002210
Training Epoch: 1 [1536/46250]	Loss: 2.2758	LR: 0.002762
Training Epoch: 1 [1792/46250]	Loss: 2.2384	LR: 0.003315
Training Epoch: 1 [2048/46250]	Loss: 2.1899	LR: 0.003867
Training Epoch: 1 [2304/46250]	Loss: 2.1919	LR: 0.004420
Training Epoch: 1 [2560/46250]	Loss: 2.1790	LR: 0.004972
Training Epoch: 1 [2816/46250]	Loss: 2.2489	LR: 0.005525
Training Epoch: 1 [3072/46250]	Loss: 2.0608	LR: 0.006077
Training Epoch: 1 [3328/46250]	Loss: 2.0857	LR: 0.006630
Training Epoch: 1 [3584/46250]	Loss: 2.1114	LR: 0.007182
Training Epoch: 1 [3840/46250]	Loss: 2.0275	LR: 0.007735
Training Epoch: 1 [4096/46250]	Loss: 1.9936	LR: 0.008287
Training Epoch: 1 [4352/46250]	Loss: 1.9137	LR: 0.008840
Training Epoch: 1 [4608/46250]	Loss: 1.9344	LR: 0.009392
Training Epoch: 1 [4864/46250]	Loss: 1.8969	LR: 0.009945
Training Epoch: 1 [5120/46250]	Loss: 1.8918	LR: 0.010497
Training Epoch: 1 [5376/46250]	Loss: 1.8616	LR: 0.011050
Training Epoch: 1 [5632/46250]	Loss: 1.9343	LR: 0.011602
Training Epoch: 1 [5888/46250]	Loss: 1.9152	LR: 0.012155
Training Epoch: 1 [6144/46250]	Loss: 1.9389	LR: 0.012707
Training Epoch: 1 [6400/46250]	Loss: 1.8659	LR: 0.013260
Training Epoch: 1 [6656/46250]	Loss: 1.9378	LR: 0.013812
Training Epoch: 1 [6912/46250]	Loss: 1.7637	LR: 0.014365
Training Epoch: 1 [7168/46250]	Loss: 1.7559	LR: 0.014917
Training Epoch: 1 [7424/46250]	Loss: 1.7994	LR: 0.015470
Training Epoch: 1 [7680/46250]	Loss: 1.6901	LR: 0.016022
Training Epoch: 1 [7936/46250]	Loss: 1.8032	LR: 0.016575
Training Epoch: 1 [8192/46250]	Loss: 1.7959	LR: 0.017127
Training Epoch: 1 [8448/46250]	Loss: 1.8784	LR: 0.017680
Training Epoch: 1 [8704/46250]	Loss: 1.8728	LR: 0.018232
Training Epoch: 1 [8960/46250]	Loss: 1.8242	LR: 0.018785
Training Epoch: 1 [9216/46250]	Loss: 1.7582	LR: 0.019337
Training Epoch: 1 [9472/46250]	Loss: 1.8407	LR: 0.019890
Training Epoch: 1 [9728/46250]	Loss: 1.7769	LR: 0.020442
Training Epoch: 1 [9984/46250]	Loss: 1.7567	LR: 0.020994
Training Epoch: 1 [10240/46250]	Loss: 1.8195	LR: 0.021547
Training Epoch: 1 [10496/46250]	Loss: 1.7357	LR: 0.022099
Training Epoch: 1 [10752/46250]	Loss: 1.7442	LR: 0.022652
Training Epoch: 1 [11008/46250]	Loss: 1.7095	LR: 0.023204
Training Epoch: 1 [11264/46250]	Loss: 1.8023	LR: 0.023757
Training Epoch: 1 [11520/46250]	Loss: 1.8197	LR: 0.024309
Training Epoch: 1 [11776/46250]	Loss: 1.7007	LR: 0.024862
Training Epoch: 1 [12032/46250]	Loss: 1.8629	LR: 0.025414
Training Epoch: 1 [12288/46250]	Loss: 1.7273	LR: 0.025967
Training Epoch: 1 [12544/46250]	Loss: 1.8028	LR: 0.026519
Training Epoch: 1 [12800/46250]	Loss: 1.7181	LR: 0.027072
Training Epoch: 1 [13056/46250]	Loss: 1.7099	LR: 0.027624
Training Epoch: 1 [13312/46250]	Loss: 1.8097	LR: 0.028177
Training Epoch: 1 [13568/46250]	Loss: 1.7815	LR: 0.028729
Training Epoch: 1 [13824/46250]	Loss: 1.6615	LR: 0.029282
Training Epoch: 1 [14080/46250]	Loss: 1.8440	LR: 0.029834
Training Epoch: 1 [14336/46250]	Loss: 1.7464	LR: 0.030387
Training Epoch: 1 [14592/46250]	Loss: 1.7609	LR: 0.030939
Training Epoch: 1 [14848/46250]	Loss: 1.7311	LR: 0.031492
Training Epoch: 1 [15104/46250]	Loss: 1.7496	LR: 0.032044
Training Epoch: 1 [15360/46250]	Loss: 1.7086	LR: 0.032597
Training Epoch: 1 [15616/46250]	Loss: 1.8600	LR: 0.033149
Training Epoch: 1 [15872/46250]	Loss: 1.7213	LR: 0.033702
Training Epoch: 1 [16128/46250]	Loss: 1.7130	LR: 0.034254
Training Epoch: 1 [16384/46250]	Loss: 1.8682	LR: 0.034807
Training Epoch: 1 [16640/46250]	Loss: 1.6691	LR: 0.035359
Training Epoch: 1 [16896/46250]	Loss: 1.7036	LR: 0.035912
Training Epoch: 1 [17152/46250]	Loss: 1.8936	LR: 0.036464
Training Epoch: 1 [17408/46250]	Loss: 1.6682	LR: 0.037017
Training Epoch: 1 [17664/46250]	Loss: 1.6869	LR: 0.037569
Training Epoch: 1 [17920/46250]	Loss: 1.7130	LR: 0.038122
Training Epoch: 1 [18176/46250]	Loss: 1.7190	LR: 0.038674
Training Epoch: 1 [18432/46250]	Loss: 1.7305	LR: 0.039227
Training Epoch: 1 [18688/46250]	Loss: 1.7162	LR: 0.039779
Training Epoch: 1 [18944/46250]	Loss: 1.8332	LR: 0.040331
Training Epoch: 1 [19200/46250]	Loss: 1.7620	LR: 0.040884
Training Epoch: 1 [19456/46250]	Loss: 1.7102	LR: 0.041436
Training Epoch: 1 [19712/46250]	Loss: 1.6538	LR: 0.041989
Training Epoch: 1 [19968/46250]	Loss: 1.6463	LR: 0.042541
Training Epoch: 1 [20224/46250]	Loss: 1.6271	LR: 0.043094
Training Epoch: 1 [20480/46250]	Loss: 1.7292	LR: 0.043646
Training Epoch: 1 [20736/46250]	Loss: 1.6735	LR: 0.044199
Training Epoch: 1 [20992/46250]	Loss: 1.9278	LR: 0.044751
Training Epoch: 1 [21248/46250]	Loss: 1.6503	LR: 0.045304
Training Epoch: 1 [21504/46250]	Loss: 1.6902	LR: 0.045856
Training Epoch: 1 [21760/46250]	Loss: 1.6697	LR: 0.046409
Training Epoch: 1 [22016/46250]	Loss: 1.7787	LR: 0.046961
Training Epoch: 1 [22272/46250]	Loss: 1.5857	LR: 0.047514
Training Epoch: 1 [22528/46250]	Loss: 1.6287	LR: 0.048066
Training Epoch: 1 [22784/46250]	Loss: 1.6342	LR: 0.048619
Training Epoch: 1 [23040/46250]	Loss: 1.6764	LR: 0.049171
Training Epoch: 1 [23296/46250]	Loss: 1.7563	LR: 0.049724
Training Epoch: 1 [23552/46250]	Loss: 1.6072	LR: 0.050276
Training Epoch: 1 [23808/46250]	Loss: 1.5442	LR: 0.050829
Training Epoch: 1 [24064/46250]	Loss: 1.7749	LR: 0.051381
Training Epoch: 1 [24320/46250]	Loss: 1.7575	LR: 0.051934
Training Epoch: 1 [24576/46250]	Loss: 1.6512	LR: 0.052486
Training Epoch: 1 [24832/46250]	Loss: 1.7751	LR: 0.053039
Training Epoch: 1 [25088/46250]	Loss: 1.6535	LR: 0.053591
Training Epoch: 1 [25344/46250]	Loss: 1.6751	LR: 0.054144
Training Epoch: 1 [25600/46250]	Loss: 1.6791	LR: 0.054696
Training Epoch: 1 [25856/46250]	Loss: 1.5254	LR: 0.055249
Training Epoch: 1 [26112/46250]	Loss: 1.6323	LR: 0.055801
Training Epoch: 1 [26368/46250]	Loss: 1.6063	LR: 0.056354
Training Epoch: 1 [26624/46250]	Loss: 1.5710	LR: 0.056906
Training Epoch: 1 [26880/46250]	Loss: 1.7032	LR: 0.057459
Training Epoch: 1 [27136/46250]	Loss: 1.4967	LR: 0.058011
Training Epoch: 1 [27392/46250]	Loss: 1.5622	LR: 0.058564
Training Epoch: 1 [27648/46250]	Loss: 1.6502	LR: 0.059116
Training Epoch: 1 [27904/46250]	Loss: 1.5557	LR: 0.059669
Training Epoch: 1 [28160/46250]	Loss: 1.6965	LR: 0.060221
Training Epoch: 1 [28416/46250]	Loss: 1.6911	LR: 0.060773
Training Epoch: 1 [28672/46250]	Loss: 1.5369	LR: 0.061326
Training Epoch: 1 [28928/46250]	Loss: 1.6348	LR: 0.061878
Training Epoch: 1 [29184/46250]	Loss: 1.8143	LR: 0.062431
Training Epoch: 1 [29440/46250]	Loss: 1.4859	LR: 0.062983
Training Epoch: 1 [29696/46250]	Loss: 1.7727	LR: 0.063536
Training Epoch: 1 [29952/46250]	Loss: 1.5615	LR: 0.064088
Training Epoch: 1 [30208/46250]	Loss: 1.7848	LR: 0.064641
Training Epoch: 1 [30464/46250]	Loss: 1.4529	LR: 0.065193
Training Epoch: 1 [30720/46250]	Loss: 1.8139	LR: 0.065746
Training Epoch: 1 [30976/46250]	Loss: 1.6457	LR: 0.066298
Training Epoch: 1 [31232/46250]	Loss: 1.5197	LR: 0.066851
Training Epoch: 1 [31488/46250]	Loss: 1.7038	LR: 0.067403
Training Epoch: 1 [31744/46250]	Loss: 1.7093	LR: 0.067956
Training Epoch: 1 [32000/46250]	Loss: 1.6751	LR: 0.068508
Training Epoch: 1 [32256/46250]	Loss: 1.6186	LR: 0.069061
Training Epoch: 1 [32512/46250]	Loss: 1.5670	LR: 0.069613
Training Epoch: 1 [32768/46250]	Loss: 1.6321	LR: 0.070166
Training Epoch: 1 [33024/46250]	Loss: 1.7053	LR: 0.070718
Training Epoch: 1 [33280/46250]	Loss: 1.5791	LR: 0.071271
Training Epoch: 1 [33536/46250]	Loss: 1.6317	LR: 0.071823
Training Epoch: 1 [33792/46250]	Loss: 1.7651	LR: 0.072376
Training Epoch: 1 [34048/46250]	Loss: 1.6606	LR: 0.072928
Training Epoch: 1 [34304/46250]	Loss: 1.7422	LR: 0.073481
Training Epoch: 1 [34560/46250]	Loss: 1.6937	LR: 0.074033
Training Epoch: 1 [34816/46250]	Loss: 1.6732	LR: 0.074586
Training Epoch: 1 [35072/46250]	Loss: 1.5660	LR: 0.075138
Training Epoch: 1 [35328/46250]	Loss: 1.4776	LR: 0.075691
Training Epoch: 1 [35584/46250]	Loss: 1.5154	LR: 0.076243
Training Epoch: 1 [35840/46250]	Loss: 1.6288	LR: 0.076796
Training Epoch: 1 [36096/46250]	Loss: 1.4202	LR: 0.077348
Training Epoch: 1 [36352/46250]	Loss: 1.5852	LR: 0.077901
Training Epoch: 1 [36608/46250]	Loss: 1.5903	LR: 0.078453
Training Epoch: 1 [36864/46250]	Loss: 1.4648	LR: 0.079006
Training Epoch: 1 [37120/46250]	Loss: 1.4798	LR: 0.079558
Training Epoch: 1 [37376/46250]	Loss: 1.3199	LR: 0.080110
Training Epoch: 1 [37632/46250]	Loss: 1.6356	LR: 0.080663
Training Epoch: 1 [37888/46250]	Loss: 1.6002	LR: 0.081215
Training Epoch: 1 [38144/46250]	Loss: 1.6412	LR: 0.081768
Training Epoch: 1 [38400/46250]	Loss: 1.5568	LR: 0.082320
Training Epoch: 1 [38656/46250]	Loss: 1.3903	LR: 0.082873
Training Epoch: 1 [38912/46250]	Loss: 1.3928	LR: 0.083425
Training Epoch: 1 [39168/46250]	Loss: 1.5528	LR: 0.083978
Training Epoch: 1 [39424/46250]	Loss: 1.6405	LR: 0.084530
Training Epoch: 1 [39680/46250]	Loss: 1.6353	LR: 0.085083
Training Epoch: 1 [39936/46250]	Loss: 1.4880	LR: 0.085635
Training Epoch: 1 [40192/46250]	Loss: 1.7154	LR: 0.086188
Training Epoch: 1 [40448/46250]	Loss: 1.4757	LR: 0.086740
Training Epoch: 1 [40704/46250]	Loss: 1.6060	LR: 0.087293
Training Epoch: 1 [40960/46250]	Loss: 1.8412	LR: 0.087845
Training Epoch: 1 [41216/46250]	Loss: 1.4906	LR: 0.088398
Training Epoch: 1 [41472/46250]	Loss: 1.5393	LR: 0.088950
Training Epoch: 1 [41728/46250]	Loss: 1.5991	LR: 0.089503
Training Epoch: 1 [41984/46250]	Loss: 1.6612	LR: 0.090055
Training Epoch: 1 [42240/46250]	Loss: 1.5164	LR: 0.090608
Training Epoch: 1 [42496/46250]	Loss: 1.7089	LR: 0.091160
Training Epoch: 1 [42752/46250]	Loss: 1.6691	LR: 0.091713
Training Epoch: 1 [43008/46250]	Loss: 1.6301	LR: 0.092265
Training Epoch: 1 [43264/46250]	Loss: 1.5915	LR: 0.092818
Training Epoch: 1 [43520/46250]	Loss: 1.4526	LR: 0.093370
Training Epoch: 1 [43776/46250]	Loss: 1.4921	LR: 0.093923
Training Epoch: 1 [44032/46250]	Loss: 1.5153	LR: 0.094475
Training Epoch: 1 [44288/46250]	Loss: 1.4598	LR: 0.095028
Training Epoch: 1 [44544/46250]	Loss: 1.4690	LR: 0.095580
Training Epoch: 1 [44800/46250]	Loss: 1.5422	LR: 0.096133
Training Epoch: 1 [45056/46250]	Loss: 1.5158	LR: 0.096685
Training Epoch: 1 [45312/46250]	Loss: 1.4012	LR: 0.097238
Training Epoch: 1 [45568/46250]	Loss: 1.3761	LR: 0.097790
Training Epoch: 1 [45824/46250]	Loss: 1.4489	LR: 0.098343
Training Epoch: 1 [46080/46250]	Loss: 1.3599	LR: 0.098895
Training Epoch: 1 [46250/46250]	Loss: 1.3782	LR: 0.099448
Epoch 1 - Average Train Loss: 1.7197, Train Accuracy: 0.3706
Epoch 1 training time consumed: 28.27s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0069, Accuracy: 0.4156, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_07h_05m_26s/ResNet18-Cifar10-seed5-ret25-1-best.pth
Training Epoch: 2 [256/46250]	Loss: 1.4379	LR: 0.100000
Training Epoch: 2 [512/46250]	Loss: 1.3561	LR: 0.100000
Training Epoch: 2 [768/46250]	Loss: 1.4002	LR: 0.100000
Training Epoch: 2 [1024/46250]	Loss: 1.4616	LR: 0.100000
Training Epoch: 2 [1280/46250]	Loss: 1.3917	LR: 0.100000
Training Epoch: 2 [1536/46250]	Loss: 1.3529	LR: 0.100000
Training Epoch: 2 [1792/46250]	Loss: 1.3399	LR: 0.100000
Training Epoch: 2 [2048/46250]	Loss: 1.4878	LR: 0.100000
Training Epoch: 2 [2304/46250]	Loss: 1.4130	LR: 0.100000
Training Epoch: 2 [2560/46250]	Loss: 1.3856	LR: 0.100000
Training Epoch: 2 [2816/46250]	Loss: 1.5596	LR: 0.100000
Training Epoch: 2 [3072/46250]	Loss: 1.2771	LR: 0.100000
Training Epoch: 2 [3328/46250]	Loss: 1.3393	LR: 0.100000
Training Epoch: 2 [3584/46250]	Loss: 1.3551	LR: 0.100000
Training Epoch: 2 [3840/46250]	Loss: 1.4094	LR: 0.100000
Training Epoch: 2 [4096/46250]	Loss: 1.3589	LR: 0.100000
Training Epoch: 2 [4352/46250]	Loss: 1.3643	LR: 0.100000
Training Epoch: 2 [4608/46250]	Loss: 1.3869	LR: 0.100000
Training Epoch: 2 [4864/46250]	Loss: 1.4697	LR: 0.100000
Training Epoch: 2 [5120/46250]	Loss: 1.4658	LR: 0.100000
Training Epoch: 2 [5376/46250]	Loss: 1.2646	LR: 0.100000
Training Epoch: 2 [5632/46250]	Loss: 1.4375	LR: 0.100000
Training Epoch: 2 [5888/46250]	Loss: 1.4858	LR: 0.100000
Training Epoch: 2 [6144/46250]	Loss: 1.4438	LR: 0.100000
Training Epoch: 2 [6400/46250]	Loss: 1.4008	LR: 0.100000
Training Epoch: 2 [6656/46250]	Loss: 1.3505	LR: 0.100000
Training Epoch: 2 [6912/46250]	Loss: 1.3324	LR: 0.100000
Training Epoch: 2 [7168/46250]	Loss: 1.3691	LR: 0.100000
Training Epoch: 2 [7424/46250]	Loss: 1.2787	LR: 0.100000
Training Epoch: 2 [7680/46250]	Loss: 1.3636	LR: 0.100000
Training Epoch: 2 [7936/46250]	Loss: 1.3143	LR: 0.100000
Training Epoch: 2 [8192/46250]	Loss: 1.4013	LR: 0.100000
Training Epoch: 2 [8448/46250]	Loss: 1.2052	LR: 0.100000
Training Epoch: 2 [8704/46250]	Loss: 1.4476	LR: 0.100000
Training Epoch: 2 [8960/46250]	Loss: 1.3023	LR: 0.100000
Training Epoch: 2 [9216/46250]	Loss: 1.3383	LR: 0.100000
Training Epoch: 2 [9472/46250]	Loss: 1.2987	LR: 0.100000
Training Epoch: 2 [9728/46250]	Loss: 1.4585	LR: 0.100000
Training Epoch: 2 [9984/46250]	Loss: 1.3352	LR: 0.100000
Training Epoch: 2 [10240/46250]	Loss: 1.4140	LR: 0.100000
Training Epoch: 2 [10496/46250]	Loss: 1.3939	LR: 0.100000
Training Epoch: 2 [10752/46250]	Loss: 1.3809	LR: 0.100000
Training Epoch: 2 [11008/46250]	Loss: 1.3620	LR: 0.100000
Training Epoch: 2 [11264/46250]	Loss: 1.2663	LR: 0.100000
Training Epoch: 2 [11520/46250]	Loss: 1.2578	LR: 0.100000
Training Epoch: 2 [11776/46250]	Loss: 1.2453	LR: 0.100000
Training Epoch: 2 [12032/46250]	Loss: 1.3349	LR: 0.100000
Training Epoch: 2 [12288/46250]	Loss: 1.2766	LR: 0.100000
Training Epoch: 2 [12544/46250]	Loss: 1.4385	LR: 0.100000
Training Epoch: 2 [12800/46250]	Loss: 1.4267	LR: 0.100000
Training Epoch: 2 [13056/46250]	Loss: 1.2961	LR: 0.100000
Training Epoch: 2 [13312/46250]	Loss: 1.3552	LR: 0.100000
Training Epoch: 2 [13568/46250]	Loss: 1.2916	LR: 0.100000
Training Epoch: 2 [13824/46250]	Loss: 1.3198	LR: 0.100000
Training Epoch: 2 [14080/46250]	Loss: 1.2484	LR: 0.100000
Training Epoch: 2 [14336/46250]	Loss: 1.2947	LR: 0.100000
Training Epoch: 2 [14592/46250]	Loss: 1.2995	LR: 0.100000
Training Epoch: 2 [14848/46250]	Loss: 1.3526	LR: 0.100000
Training Epoch: 2 [15104/46250]	Loss: 1.2726	LR: 0.100000
Training Epoch: 2 [15360/46250]	Loss: 1.4438	LR: 0.100000
Training Epoch: 2 [15616/46250]	Loss: 1.2353	LR: 0.100000
Training Epoch: 2 [15872/46250]	Loss: 1.3752	LR: 0.100000
Training Epoch: 2 [16128/46250]	Loss: 1.3036	LR: 0.100000
Training Epoch: 2 [16384/46250]	Loss: 1.1729	LR: 0.100000
Training Epoch: 2 [16640/46250]	Loss: 1.2778	LR: 0.100000
Training Epoch: 2 [16896/46250]	Loss: 1.2320	LR: 0.100000
Training Epoch: 2 [17152/46250]	Loss: 1.2411	LR: 0.100000
Training Epoch: 2 [17408/46250]	Loss: 1.1484	LR: 0.100000
Training Epoch: 2 [17664/46250]	Loss: 1.3550	LR: 0.100000
Training Epoch: 2 [17920/46250]	Loss: 1.2062	LR: 0.100000
Training Epoch: 2 [18176/46250]	Loss: 1.1305	LR: 0.100000
Training Epoch: 2 [18432/46250]	Loss: 1.2212	LR: 0.100000
Training Epoch: 2 [18688/46250]	Loss: 1.1440	LR: 0.100000
Training Epoch: 2 [18944/46250]	Loss: 1.2481	LR: 0.100000
Training Epoch: 2 [19200/46250]	Loss: 1.2909	LR: 0.100000
Training Epoch: 2 [19456/46250]	Loss: 1.3963	LR: 0.100000
Training Epoch: 2 [19712/46250]	Loss: 1.2104	LR: 0.100000
Training Epoch: 2 [19968/46250]	Loss: 1.3284	LR: 0.100000
Training Epoch: 2 [20224/46250]	Loss: 1.3971	LR: 0.100000
Training Epoch: 2 [20480/46250]	Loss: 1.1960	LR: 0.100000
Training Epoch: 2 [20736/46250]	Loss: 1.2751	LR: 0.100000
Training Epoch: 2 [20992/46250]	Loss: 1.1332	LR: 0.100000
Training Epoch: 2 [21248/46250]	Loss: 1.3552	LR: 0.100000
Training Epoch: 2 [21504/46250]	Loss: 1.2103	LR: 0.100000
Training Epoch: 2 [21760/46250]	Loss: 1.2458	LR: 0.100000
Training Epoch: 2 [22016/46250]	Loss: 1.1789	LR: 0.100000
Training Epoch: 2 [22272/46250]	Loss: 1.1583	LR: 0.100000
Training Epoch: 2 [22528/46250]	Loss: 1.1773	LR: 0.100000
Training Epoch: 2 [22784/46250]	Loss: 1.3400	LR: 0.100000
Training Epoch: 2 [23040/46250]	Loss: 1.2675	LR: 0.100000
Training Epoch: 2 [23296/46250]	Loss: 1.2515	LR: 0.100000
Training Epoch: 2 [23552/46250]	Loss: 1.1602	LR: 0.100000
Training Epoch: 2 [23808/46250]	Loss: 1.3042	LR: 0.100000
Training Epoch: 2 [24064/46250]	Loss: 1.1657	LR: 0.100000
Training Epoch: 2 [24320/46250]	Loss: 1.2170	LR: 0.100000
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Training Epoch: 2 [46250/46250]	Loss: 1.1005	LR: 0.100000
Epoch 2 - Average Train Loss: 1.2319, Train Accuracy: 0.5564
Epoch 2 training time consumed: 27.94s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0044, Accuracy: 0.6193, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_07h_05m_26s/ResNet18-Cifar10-seed5-ret25-2-best.pth
Training Epoch: 3 [256/46250]	Loss: 1.1165	LR: 0.100000
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Training Epoch: 3 [46250/46250]	Loss: 0.8935	LR: 0.100000
Epoch 3 - Average Train Loss: 0.9755, Train Accuracy: 0.6561
Epoch 3 training time consumed: 27.89s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0038, Accuracy: 0.6794, Time consumed:0.98s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_07h_05m_26s/ResNet18-Cifar10-seed5-ret25-3-best.pth
Training Epoch: 4 [256/46250]	Loss: 0.9010	LR: 0.100000
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Training Epoch: 4 [46250/46250]	Loss: 0.6833	LR: 0.100000
Epoch 4 - Average Train Loss: 0.8145, Train Accuracy: 0.7144
Epoch 4 training time consumed: 28.12s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0034, Accuracy: 0.7051, Time consumed:1.00s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_07h_05m_26s/ResNet18-Cifar10-seed5-ret25-4-best.pth
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Training Epoch: 5 [46250/46250]	Loss: 0.6786	LR: 0.100000
Epoch 5 - Average Train Loss: 0.7207, Train Accuracy: 0.7465
Epoch 5 training time consumed: 28.52s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0036, Accuracy: 0.7224, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_07h_05m_26s/ResNet18-Cifar10-seed5-ret25-5-best.pth
Training Epoch: 6 [256/46250]	Loss: 0.6252	LR: 0.100000
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Training Epoch: 6 [46250/46250]	Loss: 0.6485	LR: 0.100000
Epoch 6 - Average Train Loss: 0.6529, Train Accuracy: 0.7721
Epoch 6 training time consumed: 28.24s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0034, Accuracy: 0.7184, Time consumed:0.99s
Training Epoch: 7 [256/46250]	Loss: 0.6016	LR: 0.100000
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Training Epoch: 7 [46250/46250]	Loss: 0.6053	LR: 0.100000
Epoch 7 - Average Train Loss: 0.6031, Train Accuracy: 0.7914
Epoch 7 training time consumed: 28.22s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0031, Accuracy: 0.7532, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_07h_05m_26s/ResNet18-Cifar10-seed5-ret25-7-best.pth
Training Epoch: 8 [256/46250]	Loss: 0.5876	LR: 0.020000
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Training Epoch: 8 [46080/46250]	Loss: 0.4386	LR: 0.020000
Training Epoch: 8 [46250/46250]	Loss: 0.3337	LR: 0.020000
Epoch 8 - Average Train Loss: 0.4532, Train Accuracy: 0.8408
Epoch 8 training time consumed: 28.47s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0017, Accuracy: 0.8531, Time consumed:0.98s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_07h_05m_26s/ResNet18-Cifar10-seed5-ret25-8-best.pth
Training Epoch: 9 [256/46250]	Loss: 0.3591	LR: 0.020000
Training Epoch: 9 [512/46250]	Loss: 0.2781	LR: 0.020000
Training Epoch: 9 [768/46250]	Loss: 0.3248	LR: 0.020000
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Training Epoch: 9 [46080/46250]	Loss: 0.4021	LR: 0.020000
Training Epoch: 9 [46250/46250]	Loss: 0.3405	LR: 0.020000
Epoch 9 - Average Train Loss: 0.4043, Train Accuracy: 0.8580
Epoch 9 training time consumed: 28.16s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0016, Accuracy: 0.8611, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_07h_05m_26s/ResNet18-Cifar10-seed5-ret25-9-best.pth
Training Epoch: 10 [256/46250]	Loss: 0.4291	LR: 0.020000
Training Epoch: 10 [512/46250]	Loss: 0.3547	LR: 0.020000
Training Epoch: 10 [768/46250]	Loss: 0.3875	LR: 0.020000
Training Epoch: 10 [1024/46250]	Loss: 0.4298	LR: 0.020000
Training Epoch: 10 [1280/46250]	Loss: 0.4096	LR: 0.020000
Training Epoch: 10 [1536/46250]	Loss: 0.3896	LR: 0.020000
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Training Epoch: 10 [2048/46250]	Loss: 0.3708	LR: 0.020000
Training Epoch: 10 [2304/46250]	Loss: 0.3313	LR: 0.020000
Training Epoch: 10 [2560/46250]	Loss: 0.4178	LR: 0.020000
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Training Epoch: 10 [24576/46250]	Loss: 0.4420	LR: 0.020000
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Training Epoch: 10 [25344/46250]	Loss: 0.3644	LR: 0.020000
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Training Epoch: 10 [43520/46250]	Loss: 0.3673	LR: 0.020000
Training Epoch: 10 [43776/46250]	Loss: 0.3519	LR: 0.020000
Training Epoch: 10 [44032/46250]	Loss: 0.3398	LR: 0.020000
Training Epoch: 10 [44288/46250]	Loss: 0.4643	LR: 0.020000
Training Epoch: 10 [44544/46250]	Loss: 0.4581	LR: 0.020000
Training Epoch: 10 [44800/46250]	Loss: 0.4264	LR: 0.020000
Training Epoch: 10 [45056/46250]	Loss: 0.4929	LR: 0.020000
Training Epoch: 10 [45312/46250]	Loss: 0.3538	LR: 0.020000
Training Epoch: 10 [45568/46250]	Loss: 0.3616	LR: 0.020000
Training Epoch: 10 [45824/46250]	Loss: 0.4112	LR: 0.020000
Training Epoch: 10 [46080/46250]	Loss: 0.3069	LR: 0.020000
Training Epoch: 10 [46250/46250]	Loss: 0.4357	LR: 0.020000
Epoch 10 - Average Train Loss: 0.3803, Train Accuracy: 0.8678
Epoch 10 training time consumed: 28.20s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0015, Accuracy: 0.8695, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_07h_05m_26s/ResNet18-Cifar10-seed5-ret25-10-best.pth
Training Epoch: 11 [256/46250]	Loss: 0.3585	LR: 0.020000
Training Epoch: 11 [512/46250]	Loss: 0.3028	LR: 0.020000
Training Epoch: 11 [768/46250]	Loss: 0.3318	LR: 0.020000
Training Epoch: 11 [1024/46250]	Loss: 0.3196	LR: 0.020000
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Training Epoch: 11 [1536/46250]	Loss: 0.3811	LR: 0.020000
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Training Epoch: 11 [40448/46250]	Loss: 0.3544	LR: 0.020000
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Training Epoch: 11 [42496/46250]	Loss: 0.4124	LR: 0.020000
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Training Epoch: 11 [43520/46250]	Loss: 0.4905	LR: 0.020000
Training Epoch: 11 [43776/46250]	Loss: 0.4352	LR: 0.020000
Training Epoch: 11 [44032/46250]	Loss: 0.3047	LR: 0.020000
Training Epoch: 11 [44288/46250]	Loss: 0.3101	LR: 0.020000
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Training Epoch: 11 [44800/46250]	Loss: 0.3481	LR: 0.020000
Training Epoch: 11 [45056/46250]	Loss: 0.3324	LR: 0.020000
Training Epoch: 11 [45312/46250]	Loss: 0.3004	LR: 0.020000
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Training Epoch: 11 [45824/46250]	Loss: 0.3497	LR: 0.020000
Training Epoch: 11 [46080/46250]	Loss: 0.3464	LR: 0.020000
Training Epoch: 11 [46250/46250]	Loss: 0.4331	LR: 0.020000
Epoch 11 - Average Train Loss: 0.3653, Train Accuracy: 0.8722
Epoch 11 training time consumed: 28.03s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0015, Accuracy: 0.8711, Time consumed:0.99s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_07h_05m_26s/ResNet18-Cifar10-seed5-ret25-11-best.pth
Training Epoch: 12 [256/46250]	Loss: 0.3750	LR: 0.004000
Training Epoch: 12 [512/46250]	Loss: 0.3236	LR: 0.004000
Training Epoch: 12 [768/46250]	Loss: 0.3750	LR: 0.004000
Training Epoch: 12 [1024/46250]	Loss: 0.3532	LR: 0.004000
Training Epoch: 12 [1280/46250]	Loss: 0.3164	LR: 0.004000
Training Epoch: 12 [1536/46250]	Loss: 0.2191	LR: 0.004000
Training Epoch: 12 [1792/46250]	Loss: 0.3254	LR: 0.004000
Training Epoch: 12 [2048/46250]	Loss: 0.3360	LR: 0.004000
Training Epoch: 12 [2304/46250]	Loss: 0.3148	LR: 0.004000
Training Epoch: 12 [2560/46250]	Loss: 0.2700	LR: 0.004000
Training Epoch: 12 [2816/46250]	Loss: 0.3751	LR: 0.004000
Training Epoch: 12 [3072/46250]	Loss: 0.2587	LR: 0.004000
Training Epoch: 12 [3328/46250]	Loss: 0.2806	LR: 0.004000
Training Epoch: 12 [3584/46250]	Loss: 0.3163	LR: 0.004000
Training Epoch: 12 [3840/46250]	Loss: 0.3439	LR: 0.004000
Training Epoch: 12 [4096/46250]	Loss: 0.2774	LR: 0.004000
Training Epoch: 12 [4352/46250]	Loss: 0.3223	LR: 0.004000
Training Epoch: 12 [4608/46250]	Loss: 0.2762	LR: 0.004000
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Training Epoch: 12 [44288/46250]	Loss: 0.3395	LR: 0.004000
Training Epoch: 12 [44544/46250]	Loss: 0.3101	LR: 0.004000
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Training Epoch: 12 [46080/46250]	Loss: 0.2924	LR: 0.004000
Training Epoch: 12 [46250/46250]	Loss: 0.2410	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3160, Train Accuracy: 0.8887
Epoch 12 training time consumed: 28.26s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0014, Accuracy: 0.8845, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_07h_05m_26s/ResNet18-Cifar10-seed5-ret25-12-best.pth
Training Epoch: 13 [256/46250]	Loss: 0.3209	LR: 0.004000
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Training Epoch: 13 [41984/46250]	Loss: 0.3271	LR: 0.004000
Training Epoch: 13 [42240/46250]	Loss: 0.2781	LR: 0.004000
Training Epoch: 13 [42496/46250]	Loss: 0.3127	LR: 0.004000
Training Epoch: 13 [42752/46250]	Loss: 0.2728	LR: 0.004000
Training Epoch: 13 [43008/46250]	Loss: 0.3307	LR: 0.004000
Training Epoch: 13 [43264/46250]	Loss: 0.3563	LR: 0.004000
Training Epoch: 13 [43520/46250]	Loss: 0.2726	LR: 0.004000
Training Epoch: 13 [43776/46250]	Loss: 0.2554	LR: 0.004000
Training Epoch: 13 [44032/46250]	Loss: 0.2589	LR: 0.004000
Training Epoch: 13 [44288/46250]	Loss: 0.2683	LR: 0.004000
Training Epoch: 13 [44544/46250]	Loss: 0.3143	LR: 0.004000
Training Epoch: 13 [44800/46250]	Loss: 0.3805	LR: 0.004000
Training Epoch: 13 [45056/46250]	Loss: 0.2805	LR: 0.004000
Training Epoch: 13 [45312/46250]	Loss: 0.3011	LR: 0.004000
Training Epoch: 13 [45568/46250]	Loss: 0.2362	LR: 0.004000
Training Epoch: 13 [45824/46250]	Loss: 0.1957	LR: 0.004000
Training Epoch: 13 [46080/46250]	Loss: 0.3309	LR: 0.004000
Training Epoch: 13 [46250/46250]	Loss: 0.3251	LR: 0.004000
Epoch 13 - Average Train Loss: 0.3016, Train Accuracy: 0.8946
Epoch 13 training time consumed: 28.12s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0014, Accuracy: 0.8867, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_07h_05m_26s/ResNet18-Cifar10-seed5-ret25-13-best.pth
Training Epoch: 14 [256/46250]	Loss: 0.2098	LR: 0.004000
Training Epoch: 14 [512/46250]	Loss: 0.2428	LR: 0.004000
Training Epoch: 14 [768/46250]	Loss: 0.2757	LR: 0.004000
Training Epoch: 14 [1024/46250]	Loss: 0.2830	LR: 0.004000
Training Epoch: 14 [1280/46250]	Loss: 0.2212	LR: 0.004000
Training Epoch: 14 [1536/46250]	Loss: 0.3194	LR: 0.004000
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Training Epoch: 14 [2048/46250]	Loss: 0.2933	LR: 0.004000
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Training Epoch: 14 [40192/46250]	Loss: 0.3078	LR: 0.004000
Training Epoch: 14 [40448/46250]	Loss: 0.2964	LR: 0.004000
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Training Epoch: 14 [40960/46250]	Loss: 0.3225	LR: 0.004000
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Training Epoch: 14 [42496/46250]	Loss: 0.2928	LR: 0.004000
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Training Epoch: 14 [43008/46250]	Loss: 0.2971	LR: 0.004000
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Training Epoch: 14 [43520/46250]	Loss: 0.2824	LR: 0.004000
Training Epoch: 14 [43776/46250]	Loss: 0.2694	LR: 0.004000
Training Epoch: 14 [44032/46250]	Loss: 0.2577	LR: 0.004000
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Training Epoch: 14 [44544/46250]	Loss: 0.2528	LR: 0.004000
Training Epoch: 14 [44800/46250]	Loss: 0.3101	LR: 0.004000
Training Epoch: 14 [45056/46250]	Loss: 0.3414	LR: 0.004000
Training Epoch: 14 [45312/46250]	Loss: 0.2562	LR: 0.004000
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Training Epoch: 14 [45824/46250]	Loss: 0.3272	LR: 0.004000
Training Epoch: 14 [46080/46250]	Loss: 0.3336	LR: 0.004000
Training Epoch: 14 [46250/46250]	Loss: 0.2323	LR: 0.004000
Epoch 14 - Average Train Loss: 0.2958, Train Accuracy: 0.8970
Epoch 14 training time consumed: 28.32s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0013, Accuracy: 0.8891, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_07h_05m_26s/ResNet18-Cifar10-seed5-ret25-14-best.pth
Training Epoch: 15 [256/46250]	Loss: 0.2920	LR: 0.004000
Training Epoch: 15 [512/46250]	Loss: 0.3317	LR: 0.004000
Training Epoch: 15 [768/46250]	Loss: 0.3421	LR: 0.004000
Training Epoch: 15 [1024/46250]	Loss: 0.2551	LR: 0.004000
Training Epoch: 15 [1280/46250]	Loss: 0.3248	LR: 0.004000
Training Epoch: 15 [1536/46250]	Loss: 0.2839	LR: 0.004000
Training Epoch: 15 [1792/46250]	Loss: 0.3063	LR: 0.004000
Training Epoch: 15 [2048/46250]	Loss: 0.3127	LR: 0.004000
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Training Epoch: 15 [10752/46250]	Loss: 0.2549	LR: 0.004000
Training Epoch: 15 [11008/46250]	Loss: 0.2784	LR: 0.004000
Training Epoch: 15 [11264/46250]	Loss: 0.3795	LR: 0.004000
Training Epoch: 15 [11520/46250]	Loss: 0.3104	LR: 0.004000
Training Epoch: 15 [11776/46250]	Loss: 0.2937	LR: 0.004000
Training Epoch: 15 [12032/46250]	Loss: 0.2344	LR: 0.004000
Training Epoch: 15 [12288/46250]	Loss: 0.3357	LR: 0.004000
Training Epoch: 15 [12544/46250]	Loss: 0.2798	LR: 0.004000
Training Epoch: 15 [12800/46250]	Loss: 0.3210	LR: 0.004000
Training Epoch: 15 [13056/46250]	Loss: 0.2237	LR: 0.004000
Training Epoch: 15 [13312/46250]	Loss: 0.2800	LR: 0.004000
Training Epoch: 15 [13568/46250]	Loss: 0.3667	LR: 0.004000
Training Epoch: 15 [13824/46250]	Loss: 0.2919	LR: 0.004000
Training Epoch: 15 [14080/46250]	Loss: 0.2678	LR: 0.004000
Training Epoch: 15 [14336/46250]	Loss: 0.2973	LR: 0.004000
Training Epoch: 15 [14592/46250]	Loss: 0.2650	LR: 0.004000
Training Epoch: 15 [14848/46250]	Loss: 0.2522	LR: 0.004000
Training Epoch: 15 [15104/46250]	Loss: 0.2509	LR: 0.004000
Training Epoch: 15 [15360/46250]	Loss: 0.2708	LR: 0.004000
Training Epoch: 15 [15616/46250]	Loss: 0.2300	LR: 0.004000
Training Epoch: 15 [15872/46250]	Loss: 0.3064	LR: 0.004000
Training Epoch: 15 [16128/46250]	Loss: 0.2492	LR: 0.004000
Training Epoch: 15 [16384/46250]	Loss: 0.3340	LR: 0.004000
Training Epoch: 15 [16640/46250]	Loss: 0.3525	LR: 0.004000
Training Epoch: 15 [16896/46250]	Loss: 0.2587	LR: 0.004000
Training Epoch: 15 [17152/46250]	Loss: 0.3621	LR: 0.004000
Training Epoch: 15 [17408/46250]	Loss: 0.2805	LR: 0.004000
Training Epoch: 15 [17664/46250]	Loss: 0.3183	LR: 0.004000
Training Epoch: 15 [17920/46250]	Loss: 0.3235	LR: 0.004000
Training Epoch: 15 [18176/46250]	Loss: 0.2947	LR: 0.004000
Training Epoch: 15 [18432/46250]	Loss: 0.2652	LR: 0.004000
Training Epoch: 15 [18688/46250]	Loss: 0.3089	LR: 0.004000
Training Epoch: 15 [18944/46250]	Loss: 0.2958	LR: 0.004000
Training Epoch: 15 [19200/46250]	Loss: 0.3515	LR: 0.004000
Training Epoch: 15 [19456/46250]	Loss: 0.2810	LR: 0.004000
Training Epoch: 15 [19712/46250]	Loss: 0.2352	LR: 0.004000
Training Epoch: 15 [19968/46250]	Loss: 0.3651	LR: 0.004000
Training Epoch: 15 [20224/46250]	Loss: 0.2613	LR: 0.004000
Training Epoch: 15 [20480/46250]	Loss: 0.3393	LR: 0.004000
Training Epoch: 15 [20736/46250]	Loss: 0.2409	LR: 0.004000
Training Epoch: 15 [20992/46250]	Loss: 0.3798	LR: 0.004000
Training Epoch: 15 [21248/46250]	Loss: 0.2348	LR: 0.004000
Training Epoch: 15 [21504/46250]	Loss: 0.2564	LR: 0.004000
Training Epoch: 15 [21760/46250]	Loss: 0.2139	LR: 0.004000
Training Epoch: 15 [22016/46250]	Loss: 0.2545	LR: 0.004000
Training Epoch: 15 [22272/46250]	Loss: 0.3669	LR: 0.004000
Training Epoch: 15 [22528/46250]	Loss: 0.2306	LR: 0.004000
Training Epoch: 15 [22784/46250]	Loss: 0.2568	LR: 0.004000
Training Epoch: 15 [23040/46250]	Loss: 0.2539	LR: 0.004000
Training Epoch: 15 [23296/46250]	Loss: 0.2991	LR: 0.004000
Training Epoch: 15 [23552/46250]	Loss: 0.3501	LR: 0.004000
Training Epoch: 15 [23808/46250]	Loss: 0.2327	LR: 0.004000
Training Epoch: 15 [24064/46250]	Loss: 0.2180	LR: 0.004000
Training Epoch: 15 [24320/46250]	Loss: 0.3147	LR: 0.004000
Training Epoch: 15 [24576/46250]	Loss: 0.3131	LR: 0.004000
Training Epoch: 15 [24832/46250]	Loss: 0.3072	LR: 0.004000
Training Epoch: 15 [25088/46250]	Loss: 0.1995	LR: 0.004000
Training Epoch: 15 [25344/46250]	Loss: 0.2779	LR: 0.004000
Training Epoch: 15 [25600/46250]	Loss: 0.3001	LR: 0.004000
Training Epoch: 15 [25856/46250]	Loss: 0.2536	LR: 0.004000
Training Epoch: 15 [26112/46250]	Loss: 0.3432	LR: 0.004000
Training Epoch: 15 [26368/46250]	Loss: 0.2524	LR: 0.004000
Training Epoch: 15 [26624/46250]	Loss: 0.2392	LR: 0.004000
Training Epoch: 15 [26880/46250]	Loss: 0.2750	LR: 0.004000
Training Epoch: 15 [27136/46250]	Loss: 0.2704	LR: 0.004000
Training Epoch: 15 [27392/46250]	Loss: 0.2084	LR: 0.004000
Training Epoch: 15 [27648/46250]	Loss: 0.2943	LR: 0.004000
Training Epoch: 15 [27904/46250]	Loss: 0.2263	LR: 0.004000
Training Epoch: 15 [28160/46250]	Loss: 0.3318	LR: 0.004000
Training Epoch: 15 [28416/46250]	Loss: 0.3056	LR: 0.004000
Training Epoch: 15 [28672/46250]	Loss: 0.3104	LR: 0.004000
Training Epoch: 15 [28928/46250]	Loss: 0.2142	LR: 0.004000
Training Epoch: 15 [29184/46250]	Loss: 0.3035	LR: 0.004000
Training Epoch: 15 [29440/46250]	Loss: 0.2932	LR: 0.004000
Training Epoch: 15 [29696/46250]	Loss: 0.3018	LR: 0.004000
Training Epoch: 15 [29952/46250]	Loss: 0.2612	LR: 0.004000
Training Epoch: 15 [30208/46250]	Loss: 0.2969	LR: 0.004000
Training Epoch: 15 [30464/46250]	Loss: 0.3253	LR: 0.004000
Training Epoch: 15 [30720/46250]	Loss: 0.2934	LR: 0.004000
Training Epoch: 15 [30976/46250]	Loss: 0.2533	LR: 0.004000
Training Epoch: 15 [31232/46250]	Loss: 0.2361	LR: 0.004000
Training Epoch: 15 [31488/46250]	Loss: 0.2883	LR: 0.004000
Training Epoch: 15 [31744/46250]	Loss: 0.2031	LR: 0.004000
Training Epoch: 15 [32000/46250]	Loss: 0.2751	LR: 0.004000
Training Epoch: 15 [32256/46250]	Loss: 0.2625	LR: 0.004000
Training Epoch: 15 [32512/46250]	Loss: 0.3221	LR: 0.004000
Training Epoch: 15 [32768/46250]	Loss: 0.3745	LR: 0.004000
Training Epoch: 15 [33024/46250]	Loss: 0.3015	LR: 0.004000
Training Epoch: 15 [33280/46250]	Loss: 0.2818	LR: 0.004000
Training Epoch: 15 [33536/46250]	Loss: 0.2876	LR: 0.004000
Training Epoch: 15 [33792/46250]	Loss: 0.2501	LR: 0.004000
Training Epoch: 15 [34048/46250]	Loss: 0.2563	LR: 0.004000
Training Epoch: 15 [34304/46250]	Loss: 0.3394	LR: 0.004000
Training Epoch: 15 [34560/46250]	Loss: 0.2896	LR: 0.004000
Training Epoch: 15 [34816/46250]	Loss: 0.2204	LR: 0.004000
Training Epoch: 15 [35072/46250]	Loss: 0.2523	LR: 0.004000
Training Epoch: 15 [35328/46250]	Loss: 0.3114	LR: 0.004000
Training Epoch: 15 [35584/46250]	Loss: 0.3046	LR: 0.004000
Training Epoch: 15 [35840/46250]	Loss: 0.3010	LR: 0.004000
Training Epoch: 15 [36096/46250]	Loss: 0.3790	LR: 0.004000
Training Epoch: 15 [36352/46250]	Loss: 0.3523	LR: 0.004000
Training Epoch: 15 [36608/46250]	Loss: 0.2893	LR: 0.004000
Training Epoch: 15 [36864/46250]	Loss: 0.3839	LR: 0.004000
Training Epoch: 15 [37120/46250]	Loss: 0.3223	LR: 0.004000
Training Epoch: 15 [37376/46250]	Loss: 0.2820	LR: 0.004000
Training Epoch: 15 [37632/46250]	Loss: 0.2454	LR: 0.004000
Training Epoch: 15 [37888/46250]	Loss: 0.2544	LR: 0.004000
Training Epoch: 15 [38144/46250]	Loss: 0.3813	LR: 0.004000
Training Epoch: 15 [38400/46250]	Loss: 0.2163	LR: 0.004000
Training Epoch: 15 [38656/46250]	Loss: 0.2879	LR: 0.004000
Training Epoch: 15 [38912/46250]	Loss: 0.3375	LR: 0.004000
Training Epoch: 15 [39168/46250]	Loss: 0.3534	LR: 0.004000
Training Epoch: 15 [39424/46250]	Loss: 0.3972	LR: 0.004000
Training Epoch: 15 [39680/46250]	Loss: 0.3458	LR: 0.004000
Training Epoch: 15 [39936/46250]	Loss: 0.2543	LR: 0.004000
Training Epoch: 15 [40192/46250]	Loss: 0.2509	LR: 0.004000
Training Epoch: 15 [40448/46250]	Loss: 0.2655	LR: 0.004000
Training Epoch: 15 [40704/46250]	Loss: 0.2757	LR: 0.004000
Training Epoch: 15 [40960/46250]	Loss: 0.3568	LR: 0.004000
Training Epoch: 15 [41216/46250]	Loss: 0.2304	LR: 0.004000
Training Epoch: 15 [41472/46250]	Loss: 0.2824	LR: 0.004000
Training Epoch: 15 [41728/46250]	Loss: 0.3527	LR: 0.004000
Training Epoch: 15 [41984/46250]	Loss: 0.2772	LR: 0.004000
Training Epoch: 15 [42240/46250]	Loss: 0.3383	LR: 0.004000
Training Epoch: 15 [42496/46250]	Loss: 0.3793	LR: 0.004000
Training Epoch: 15 [42752/46250]	Loss: 0.2938	LR: 0.004000
Training Epoch: 15 [43008/46250]	Loss: 0.2544	LR: 0.004000
Training Epoch: 15 [43264/46250]	Loss: 0.2762	LR: 0.004000
Training Epoch: 15 [43520/46250]	Loss: 0.3198	LR: 0.004000
Training Epoch: 15 [43776/46250]	Loss: 0.3241	LR: 0.004000
Training Epoch: 15 [44032/46250]	Loss: 0.2704	LR: 0.004000
Training Epoch: 15 [44288/46250]	Loss: 0.3119	LR: 0.004000
Training Epoch: 15 [44544/46250]	Loss: 0.2418	LR: 0.004000
Training Epoch: 15 [44800/46250]	Loss: 0.2771	LR: 0.004000
Training Epoch: 15 [45056/46250]	Loss: 0.2725	LR: 0.004000
Training Epoch: 15 [45312/46250]	Loss: 0.3138	LR: 0.004000
Training Epoch: 15 [45568/46250]	Loss: 0.3292	LR: 0.004000
Training Epoch: 15 [45824/46250]	Loss: 0.2716	LR: 0.004000
Training Epoch: 15 [46080/46250]	Loss: 0.2612	LR: 0.004000
Training Epoch: 15 [46250/46250]	Loss: 0.2111	LR: 0.004000
Epoch 15 - Average Train Loss: 0.2915, Train Accuracy: 0.8987
Epoch 15 training time consumed: 28.16s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0013, Accuracy: 0.8879, Time consumed:0.98s
Training Epoch: 16 [256/46250]	Loss: 0.2587	LR: 0.000800
Training Epoch: 16 [512/46250]	Loss: 0.2961	LR: 0.000800
Training Epoch: 16 [768/46250]	Loss: 0.3044	LR: 0.000800
Training Epoch: 16 [1024/46250]	Loss: 0.2252	LR: 0.000800
Training Epoch: 16 [1280/46250]	Loss: 0.3082	LR: 0.000800
Training Epoch: 16 [1536/46250]	Loss: 0.2549	LR: 0.000800
Training Epoch: 16 [1792/46250]	Loss: 0.1594	LR: 0.000800
Training Epoch: 16 [2048/46250]	Loss: 0.3491	LR: 0.000800
Training Epoch: 16 [2304/46250]	Loss: 0.3483	LR: 0.000800
Training Epoch: 16 [2560/46250]	Loss: 0.2859	LR: 0.000800
Training Epoch: 16 [2816/46250]	Loss: 0.2516	LR: 0.000800
Training Epoch: 16 [3072/46250]	Loss: 0.3246	LR: 0.000800
Training Epoch: 16 [3328/46250]	Loss: 0.1991	LR: 0.000800
Training Epoch: 16 [3584/46250]	Loss: 0.2598	LR: 0.000800
Training Epoch: 16 [3840/46250]	Loss: 0.2706	LR: 0.000800
Training Epoch: 16 [4096/46250]	Loss: 0.2672	LR: 0.000800
Training Epoch: 16 [4352/46250]	Loss: 0.2772	LR: 0.000800
Training Epoch: 16 [4608/46250]	Loss: 0.3127	LR: 0.000800
Training Epoch: 16 [4864/46250]	Loss: 0.2610	LR: 0.000800
Training Epoch: 16 [5120/46250]	Loss: 0.2935	LR: 0.000800
Training Epoch: 16 [5376/46250]	Loss: 0.2571	LR: 0.000800
Training Epoch: 16 [5632/46250]	Loss: 0.2137	LR: 0.000800
Training Epoch: 16 [5888/46250]	Loss: 0.3220	LR: 0.000800
Training Epoch: 16 [6144/46250]	Loss: 0.2756	LR: 0.000800
Training Epoch: 16 [6400/46250]	Loss: 0.2899	LR: 0.000800
Training Epoch: 16 [6656/46250]	Loss: 0.2587	LR: 0.000800
Training Epoch: 16 [6912/46250]	Loss: 0.2706	LR: 0.000800
Training Epoch: 16 [7168/46250]	Loss: 0.3450	LR: 0.000800
Training Epoch: 16 [7424/46250]	Loss: 0.2277	LR: 0.000800
Training Epoch: 16 [7680/46250]	Loss: 0.2723	LR: 0.000800
Training Epoch: 16 [7936/46250]	Loss: 0.3055	LR: 0.000800
Training Epoch: 16 [8192/46250]	Loss: 0.3018	LR: 0.000800
Training Epoch: 16 [8448/46250]	Loss: 0.2941	LR: 0.000800
Training Epoch: 16 [8704/46250]	Loss: 0.2838	LR: 0.000800
Training Epoch: 16 [8960/46250]	Loss: 0.3429	LR: 0.000800
Training Epoch: 16 [9216/46250]	Loss: 0.2546	LR: 0.000800
Training Epoch: 16 [9472/46250]	Loss: 0.3558	LR: 0.000800
Training Epoch: 16 [9728/46250]	Loss: 0.2968	LR: 0.000800
Training Epoch: 16 [9984/46250]	Loss: 0.2002	LR: 0.000800
Training Epoch: 16 [10240/46250]	Loss: 0.3035	LR: 0.000800
Training Epoch: 16 [10496/46250]	Loss: 0.3117	LR: 0.000800
Training Epoch: 16 [10752/46250]	Loss: 0.2731	LR: 0.000800
Training Epoch: 16 [11008/46250]	Loss: 0.2983	LR: 0.000800
Training Epoch: 16 [11264/46250]	Loss: 0.2879	LR: 0.000800
Training Epoch: 16 [11520/46250]	Loss: 0.2827	LR: 0.000800
Training Epoch: 16 [11776/46250]	Loss: 0.2788	LR: 0.000800
Training Epoch: 16 [12032/46250]	Loss: 0.2824	LR: 0.000800
Training Epoch: 16 [12288/46250]	Loss: 0.2320	LR: 0.000800
Training Epoch: 16 [12544/46250]	Loss: 0.2721	LR: 0.000800
Training Epoch: 16 [12800/46250]	Loss: 0.2146	LR: 0.000800
Training Epoch: 16 [13056/46250]	Loss: 0.2340	LR: 0.000800
Training Epoch: 16 [13312/46250]	Loss: 0.3240	LR: 0.000800
Training Epoch: 16 [13568/46250]	Loss: 0.2557	LR: 0.000800
Training Epoch: 16 [13824/46250]	Loss: 0.2427	LR: 0.000800
Training Epoch: 16 [14080/46250]	Loss: 0.2921	LR: 0.000800
Training Epoch: 16 [14336/46250]	Loss: 0.2853	LR: 0.000800
Training Epoch: 16 [14592/46250]	Loss: 0.3739	LR: 0.000800
Training Epoch: 16 [14848/46250]	Loss: 0.2899	LR: 0.000800
Training Epoch: 16 [15104/46250]	Loss: 0.3454	LR: 0.000800
Training Epoch: 16 [15360/46250]	Loss: 0.2205	LR: 0.000800
Training Epoch: 16 [15616/46250]	Loss: 0.4101	LR: 0.000800
Training Epoch: 16 [15872/46250]	Loss: 0.3635	LR: 0.000800
Training Epoch: 16 [16128/46250]	Loss: 0.3183	LR: 0.000800
Training Epoch: 16 [16384/46250]	Loss: 0.2397	LR: 0.000800
Training Epoch: 16 [16640/46250]	Loss: 0.2954	LR: 0.000800
Training Epoch: 16 [16896/46250]	Loss: 0.3066	LR: 0.000800
Training Epoch: 16 [17152/46250]	Loss: 0.3247	LR: 0.000800
Training Epoch: 16 [17408/46250]	Loss: 0.2462	LR: 0.000800
Training Epoch: 16 [17664/46250]	Loss: 0.2665	LR: 0.000800
Training Epoch: 16 [17920/46250]	Loss: 0.2382	LR: 0.000800
Training Epoch: 16 [18176/46250]	Loss: 0.2568	LR: 0.000800
Training Epoch: 16 [18432/46250]	Loss: 0.2996	LR: 0.000800
Training Epoch: 16 [18688/46250]	Loss: 0.2645	LR: 0.000800
Training Epoch: 16 [18944/46250]	Loss: 0.1793	LR: 0.000800
Training Epoch: 16 [19200/46250]	Loss: 0.2533	LR: 0.000800
Training Epoch: 16 [19456/46250]	Loss: 0.2424	LR: 0.000800
Training Epoch: 16 [19712/46250]	Loss: 0.2920	LR: 0.000800
Training Epoch: 16 [19968/46250]	Loss: 0.2704	LR: 0.000800
Training Epoch: 16 [20224/46250]	Loss: 0.2696	LR: 0.000800
Training Epoch: 16 [20480/46250]	Loss: 0.2807	LR: 0.000800
Training Epoch: 16 [20736/46250]	Loss: 0.3643	LR: 0.000800
Training Epoch: 16 [20992/46250]	Loss: 0.2977	LR: 0.000800
Training Epoch: 16 [21248/46250]	Loss: 0.2644	LR: 0.000800
Training Epoch: 16 [21504/46250]	Loss: 0.2743	LR: 0.000800
Training Epoch: 16 [21760/46250]	Loss: 0.3171	LR: 0.000800
Training Epoch: 16 [22016/46250]	Loss: 0.3717	LR: 0.000800
Training Epoch: 16 [22272/46250]	Loss: 0.3113	LR: 0.000800
Training Epoch: 16 [22528/46250]	Loss: 0.2740	LR: 0.000800
Training Epoch: 16 [22784/46250]	Loss: 0.3057	LR: 0.000800
Training Epoch: 16 [23040/46250]	Loss: 0.2739	LR: 0.000800
Training Epoch: 16 [23296/46250]	Loss: 0.2716	LR: 0.000800
Training Epoch: 16 [23552/46250]	Loss: 0.2786	LR: 0.000800
Training Epoch: 16 [23808/46250]	Loss: 0.2261	LR: 0.000800
Training Epoch: 16 [24064/46250]	Loss: 0.2824	LR: 0.000800
Training Epoch: 16 [24320/46250]	Loss: 0.2456	LR: 0.000800
Training Epoch: 16 [24576/46250]	Loss: 0.3738	LR: 0.000800
Training Epoch: 16 [24832/46250]	Loss: 0.2876	LR: 0.000800
Training Epoch: 16 [25088/46250]	Loss: 0.2154	LR: 0.000800
Training Epoch: 16 [25344/46250]	Loss: 0.3130	LR: 0.000800
Training Epoch: 16 [25600/46250]	Loss: 0.2113	LR: 0.000800
Training Epoch: 16 [25856/46250]	Loss: 0.2655	LR: 0.000800
Training Epoch: 16 [26112/46250]	Loss: 0.2793	LR: 0.000800
Training Epoch: 16 [26368/46250]	Loss: 0.2637	LR: 0.000800
Training Epoch: 16 [26624/46250]	Loss: 0.2376	LR: 0.000800
Training Epoch: 16 [26880/46250]	Loss: 0.2320	LR: 0.000800
Training Epoch: 16 [27136/46250]	Loss: 0.2643	LR: 0.000800
Training Epoch: 16 [27392/46250]	Loss: 0.2802	LR: 0.000800
Training Epoch: 16 [27648/46250]	Loss: 0.3471	LR: 0.000800
Training Epoch: 16 [27904/46250]	Loss: 0.3401	LR: 0.000800
Training Epoch: 16 [28160/46250]	Loss: 0.2394	LR: 0.000800
Training Epoch: 16 [28416/46250]	Loss: 0.2222	LR: 0.000800
Training Epoch: 16 [28672/46250]	Loss: 0.2953	LR: 0.000800
Training Epoch: 16 [28928/46250]	Loss: 0.2830	LR: 0.000800
Training Epoch: 16 [29184/46250]	Loss: 0.3088	LR: 0.000800
Training Epoch: 16 [29440/46250]	Loss: 0.2846	LR: 0.000800
Training Epoch: 16 [29696/46250]	Loss: 0.2461	LR: 0.000800
Training Epoch: 16 [29952/46250]	Loss: 0.4211	LR: 0.000800
Training Epoch: 16 [30208/46250]	Loss: 0.2429	LR: 0.000800
Training Epoch: 16 [30464/46250]	Loss: 0.2286	LR: 0.000800
Training Epoch: 16 [30720/46250]	Loss: 0.2524	LR: 0.000800
Training Epoch: 16 [30976/46250]	Loss: 0.2367	LR: 0.000800
Training Epoch: 16 [31232/46250]	Loss: 0.3027	LR: 0.000800
Training Epoch: 16 [31488/46250]	Loss: 0.2281	LR: 0.000800
Training Epoch: 16 [31744/46250]	Loss: 0.2561	LR: 0.000800
Training Epoch: 16 [32000/46250]	Loss: 0.2155	LR: 0.000800
Training Epoch: 16 [32256/46250]	Loss: 0.2304	LR: 0.000800
Training Epoch: 16 [32512/46250]	Loss: 0.3168	LR: 0.000800
Training Epoch: 16 [32768/46250]	Loss: 0.2400	LR: 0.000800
Training Epoch: 16 [33024/46250]	Loss: 0.2828	LR: 0.000800
Training Epoch: 16 [33280/46250]	Loss: 0.2733	LR: 0.000800
Training Epoch: 16 [33536/46250]	Loss: 0.2763	LR: 0.000800
Training Epoch: 16 [33792/46250]	Loss: 0.2915	LR: 0.000800
Training Epoch: 16 [34048/46250]	Loss: 0.2480	LR: 0.000800
Training Epoch: 16 [34304/46250]	Loss: 0.2614	LR: 0.000800
Training Epoch: 16 [34560/46250]	Loss: 0.2462	LR: 0.000800
Training Epoch: 16 [34816/46250]	Loss: 0.2762	LR: 0.000800
Training Epoch: 16 [35072/46250]	Loss: 0.2978	LR: 0.000800
Training Epoch: 16 [35328/46250]	Loss: 0.2483	LR: 0.000800
Training Epoch: 16 [35584/46250]	Loss: 0.2222	LR: 0.000800
Training Epoch: 16 [35840/46250]	Loss: 0.2736	LR: 0.000800
Training Epoch: 16 [36096/46250]	Loss: 0.1987	LR: 0.000800
Training Epoch: 16 [36352/46250]	Loss: 0.2384	LR: 0.000800
Training Epoch: 16 [36608/46250]	Loss: 0.2918	LR: 0.000800
Training Epoch: 16 [36864/46250]	Loss: 0.2698	LR: 0.000800
Training Epoch: 16 [37120/46250]	Loss: 0.2047	LR: 0.000800
Training Epoch: 16 [37376/46250]	Loss: 0.2624	LR: 0.000800
Training Epoch: 16 [37632/46250]	Loss: 0.3244	LR: 0.000800
Training Epoch: 16 [37888/46250]	Loss: 0.2649	LR: 0.000800
Training Epoch: 16 [38144/46250]	Loss: 0.2487	LR: 0.000800
Training Epoch: 16 [38400/46250]	Loss: 0.2561	LR: 0.000800
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Training Epoch: 16 [40448/46250]	Loss: 0.2731	LR: 0.000800
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Training Epoch: 16 [41984/46250]	Loss: 0.3053	LR: 0.000800
Training Epoch: 16 [42240/46250]	Loss: 0.2854	LR: 0.000800
Training Epoch: 16 [42496/46250]	Loss: 0.2521	LR: 0.000800
Training Epoch: 16 [42752/46250]	Loss: 0.3356	LR: 0.000800
Training Epoch: 16 [43008/46250]	Loss: 0.2965	LR: 0.000800
Training Epoch: 16 [43264/46250]	Loss: 0.2497	LR: 0.000800
Training Epoch: 16 [43520/46250]	Loss: 0.2670	LR: 0.000800
Training Epoch: 16 [43776/46250]	Loss: 0.3604	LR: 0.000800
Training Epoch: 16 [44032/46250]	Loss: 0.2510	LR: 0.000800
Training Epoch: 16 [44288/46250]	Loss: 0.2960	LR: 0.000800
Training Epoch: 16 [44544/46250]	Loss: 0.3171	LR: 0.000800
Training Epoch: 16 [44800/46250]	Loss: 0.2991	LR: 0.000800
Training Epoch: 16 [45056/46250]	Loss: 0.2345	LR: 0.000800
Training Epoch: 16 [45312/46250]	Loss: 0.3075	LR: 0.000800
Training Epoch: 16 [45568/46250]	Loss: 0.2415	LR: 0.000800
Training Epoch: 16 [45824/46250]	Loss: 0.2694	LR: 0.000800
Training Epoch: 16 [46080/46250]	Loss: 0.2381	LR: 0.000800
Training Epoch: 16 [46250/46250]	Loss: 0.2478	LR: 0.000800
Epoch 16 - Average Train Loss: 0.2775, Train Accuracy: 0.9026
Epoch 16 training time consumed: 28.20s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0013, Accuracy: 0.8896, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_07h_05m_26s/ResNet18-Cifar10-seed5-ret25-16-best.pth
Training Epoch: 17 [256/46250]	Loss: 0.2771	LR: 0.000800
Training Epoch: 17 [512/46250]	Loss: 0.2147	LR: 0.000800
Training Epoch: 17 [768/46250]	Loss: 0.2528	LR: 0.000800
Training Epoch: 17 [1024/46250]	Loss: 0.3348	LR: 0.000800
Training Epoch: 17 [1280/46250]	Loss: 0.2226	LR: 0.000800
Training Epoch: 17 [1536/46250]	Loss: 0.3358	LR: 0.000800
Training Epoch: 17 [1792/46250]	Loss: 0.2155	LR: 0.000800
Training Epoch: 17 [2048/46250]	Loss: 0.2826	LR: 0.000800
Training Epoch: 17 [2304/46250]	Loss: 0.3025	LR: 0.000800
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Training Epoch: 17 [8448/46250]	Loss: 0.2738	LR: 0.000800
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Training Epoch: 17 [40448/46250]	Loss: 0.3155	LR: 0.000800
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Training Epoch: 17 [42496/46250]	Loss: 0.2655	LR: 0.000800
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Training Epoch: 17 [43520/46250]	Loss: 0.2735	LR: 0.000800
Training Epoch: 17 [43776/46250]	Loss: 0.2434	LR: 0.000800
Training Epoch: 17 [44032/46250]	Loss: 0.3442	LR: 0.000800
Training Epoch: 17 [44288/46250]	Loss: 0.3124	LR: 0.000800
Training Epoch: 17 [44544/46250]	Loss: 0.2676	LR: 0.000800
Training Epoch: 17 [44800/46250]	Loss: 0.2452	LR: 0.000800
Training Epoch: 17 [45056/46250]	Loss: 0.3007	LR: 0.000800
Training Epoch: 17 [45312/46250]	Loss: 0.2732	LR: 0.000800
Training Epoch: 17 [45568/46250]	Loss: 0.3235	LR: 0.000800
Training Epoch: 17 [45824/46250]	Loss: 0.2645	LR: 0.000800
Training Epoch: 17 [46080/46250]	Loss: 0.2676	LR: 0.000800
Training Epoch: 17 [46250/46250]	Loss: 0.1895	LR: 0.000800
Epoch 17 - Average Train Loss: 0.2766, Train Accuracy: 0.9039
Epoch 17 training time consumed: 28.29s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0013, Accuracy: 0.8897, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_07h_05m_26s/ResNet18-Cifar10-seed5-ret25-17-best.pth
Training Epoch: 18 [256/46250]	Loss: 0.2318	LR: 0.000800
Training Epoch: 18 [512/46250]	Loss: 0.3027	LR: 0.000800
Training Epoch: 18 [768/46250]	Loss: 0.2880	LR: 0.000800
Training Epoch: 18 [1024/46250]	Loss: 0.3453	LR: 0.000800
Training Epoch: 18 [1280/46250]	Loss: 0.2270	LR: 0.000800
Training Epoch: 18 [1536/46250]	Loss: 0.2402	LR: 0.000800
Training Epoch: 18 [1792/46250]	Loss: 0.2642	LR: 0.000800
Training Epoch: 18 [2048/46250]	Loss: 0.2449	LR: 0.000800
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Training Epoch: 18 [5120/46250]	Loss: 0.3458	LR: 0.000800
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Training Epoch: 18 [17408/46250]	Loss: 0.2684	LR: 0.000800
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Training Epoch: 18 [30976/46250]	Loss: 0.2441	LR: 0.000800
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Training Epoch: 18 [36352/46250]	Loss: 0.2414	LR: 0.000800
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Training Epoch: 18 [36864/46250]	Loss: 0.2888	LR: 0.000800
Training Epoch: 18 [37120/46250]	Loss: 0.2492	LR: 0.000800
Training Epoch: 18 [37376/46250]	Loss: 0.2775	LR: 0.000800
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Training Epoch: 18 [38144/46250]	Loss: 0.2832	LR: 0.000800
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Training Epoch: 18 [39936/46250]	Loss: 0.2984	LR: 0.000800
Training Epoch: 18 [40192/46250]	Loss: 0.2247	LR: 0.000800
Training Epoch: 18 [40448/46250]	Loss: 0.3083	LR: 0.000800
Training Epoch: 18 [40704/46250]	Loss: 0.2681	LR: 0.000800
Training Epoch: 18 [40960/46250]	Loss: 0.2730	LR: 0.000800
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Training Epoch: 18 [41984/46250]	Loss: 0.2727	LR: 0.000800
Training Epoch: 18 [42240/46250]	Loss: 0.2060	LR: 0.000800
Training Epoch: 18 [42496/46250]	Loss: 0.2859	LR: 0.000800
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Training Epoch: 18 [43008/46250]	Loss: 0.3028	LR: 0.000800
Training Epoch: 18 [43264/46250]	Loss: 0.2606	LR: 0.000800
Training Epoch: 18 [43520/46250]	Loss: 0.3319	LR: 0.000800
Training Epoch: 18 [43776/46250]	Loss: 0.2609	LR: 0.000800
Training Epoch: 18 [44032/46250]	Loss: 0.2614	LR: 0.000800
Training Epoch: 18 [44288/46250]	Loss: 0.3553	LR: 0.000800
Training Epoch: 18 [44544/46250]	Loss: 0.2369	LR: 0.000800
Training Epoch: 18 [44800/46250]	Loss: 0.2060	LR: 0.000800
Training Epoch: 18 [45056/46250]	Loss: 0.3015	LR: 0.000800
Training Epoch: 18 [45312/46250]	Loss: 0.2698	LR: 0.000800
Training Epoch: 18 [45568/46250]	Loss: 0.2899	LR: 0.000800
Training Epoch: 18 [45824/46250]	Loss: 0.2019	LR: 0.000800
Training Epoch: 18 [46080/46250]	Loss: 0.1833	LR: 0.000800
Training Epoch: 18 [46250/46250]	Loss: 0.4590	LR: 0.000800
Epoch 18 - Average Train Loss: 0.2685, Train Accuracy: 0.9058
Epoch 18 training time consumed: 28.09s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0013, Accuracy: 0.8918, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_07h_05m_26s/ResNet18-Cifar10-seed5-ret25-18-best.pth
Training Epoch: 19 [256/46250]	Loss: 0.2844	LR: 0.000800
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Training Epoch: 19 [1024/46250]	Loss: 0.2912	LR: 0.000800
Training Epoch: 19 [1280/46250]	Loss: 0.3456	LR: 0.000800
Training Epoch: 19 [1536/46250]	Loss: 0.2660	LR: 0.000800
Training Epoch: 19 [1792/46250]	Loss: 0.2892	LR: 0.000800
Training Epoch: 19 [2048/46250]	Loss: 0.2643	LR: 0.000800
Training Epoch: 19 [2304/46250]	Loss: 0.2135	LR: 0.000800
Training Epoch: 19 [2560/46250]	Loss: 0.3191	LR: 0.000800
Training Epoch: 19 [2816/46250]	Loss: 0.2331	LR: 0.000800
Training Epoch: 19 [3072/46250]	Loss: 0.2545	LR: 0.000800
Training Epoch: 19 [3328/46250]	Loss: 0.2820	LR: 0.000800
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Training Epoch: 19 [3840/46250]	Loss: 0.2327	LR: 0.000800
Training Epoch: 19 [4096/46250]	Loss: 0.2987	LR: 0.000800
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Training Epoch: 19 [4608/46250]	Loss: 0.2434	LR: 0.000800
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Training Epoch: 19 [5376/46250]	Loss: 0.2928	LR: 0.000800
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Training Epoch: 19 [6144/46250]	Loss: 0.2378	LR: 0.000800
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Training Epoch: 19 [7168/46250]	Loss: 0.3248	LR: 0.000800
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Training Epoch: 19 [9984/46250]	Loss: 0.2733	LR: 0.000800
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Training Epoch: 19 [11264/46250]	Loss: 0.3241	LR: 0.000800
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Training Epoch: 19 [11776/46250]	Loss: 0.2587	LR: 0.000800
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Training Epoch: 19 [18176/46250]	Loss: 0.2848	LR: 0.000800
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Training Epoch: 19 [19712/46250]	Loss: 0.2592	LR: 0.000800
Training Epoch: 19 [19968/46250]	Loss: 0.3099	LR: 0.000800
Training Epoch: 19 [20224/46250]	Loss: 0.3125	LR: 0.000800
Training Epoch: 19 [20480/46250]	Loss: 0.2510	LR: 0.000800
Training Epoch: 19 [20736/46250]	Loss: 0.2907	LR: 0.000800
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Training Epoch: 19 [22016/46250]	Loss: 0.3231	LR: 0.000800
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Training Epoch: 19 [22528/46250]	Loss: 0.2651	LR: 0.000800
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Training Epoch: 19 [23808/46250]	Loss: 0.3084	LR: 0.000800
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Training Epoch: 19 [24320/46250]	Loss: 0.2204	LR: 0.000800
Training Epoch: 19 [24576/46250]	Loss: 0.2346	LR: 0.000800
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Training Epoch: 19 [29184/46250]	Loss: 0.2592	LR: 0.000800
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Training Epoch: 19 [37120/46250]	Loss: 0.3553	LR: 0.000800
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Training Epoch: 19 [37632/46250]	Loss: 0.3262	LR: 0.000800
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Training Epoch: 19 [44288/46250]	Loss: 0.2255	LR: 0.000800
Training Epoch: 19 [44544/46250]	Loss: 0.2551	LR: 0.000800
Training Epoch: 19 [44800/46250]	Loss: 0.1935	LR: 0.000800
Training Epoch: 19 [45056/46250]	Loss: 0.2079	LR: 0.000800
Training Epoch: 19 [45312/46250]	Loss: 0.2985	LR: 0.000800
Training Epoch: 19 [45568/46250]	Loss: 0.2633	LR: 0.000800
Training Epoch: 19 [45824/46250]	Loss: 0.2411	LR: 0.000800
Training Epoch: 19 [46080/46250]	Loss: 0.2495	LR: 0.000800
Training Epoch: 19 [46250/46250]	Loss: 0.3169	LR: 0.000800
Epoch 19 - Average Train Loss: 0.2674, Train Accuracy: 0.9064
Epoch 19 training time consumed: 28.28s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0013, Accuracy: 0.8916, Time consumed:0.94s
Training Epoch: 20 [256/46250]	Loss: 0.3169	LR: 0.000800
Training Epoch: 20 [512/46250]	Loss: 0.2959	LR: 0.000800
Training Epoch: 20 [768/46250]	Loss: 0.2365	LR: 0.000800
Training Epoch: 20 [1024/46250]	Loss: 0.2374	LR: 0.000800
Training Epoch: 20 [1280/46250]	Loss: 0.2513	LR: 0.000800
Training Epoch: 20 [1536/46250]	Loss: 0.2800	LR: 0.000800
Training Epoch: 20 [1792/46250]	Loss: 0.2973	LR: 0.000800
Training Epoch: 20 [2048/46250]	Loss: 0.2989	LR: 0.000800
Training Epoch: 20 [2304/46250]	Loss: 0.2324	LR: 0.000800
Training Epoch: 20 [2560/46250]	Loss: 0.2805	LR: 0.000800
Training Epoch: 20 [2816/46250]	Loss: 0.2769	LR: 0.000800
Training Epoch: 20 [3072/46250]	Loss: 0.3382	LR: 0.000800
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Training Epoch: 20 [3584/46250]	Loss: 0.2658	LR: 0.000800
Training Epoch: 20 [3840/46250]	Loss: 0.2355	LR: 0.000800
Training Epoch: 20 [4096/46250]	Loss: 0.2914	LR: 0.000800
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Training Epoch: 20 [5120/46250]	Loss: 0.2569	LR: 0.000800
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Training Epoch: 20 [23040/46250]	Loss: 0.2171	LR: 0.000800
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Training Epoch: 20 [25088/46250]	Loss: 0.2406	LR: 0.000800
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Training Epoch: 20 [25600/46250]	Loss: 0.2074	LR: 0.000800
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Training Epoch: 20 [26112/46250]	Loss: 0.2633	LR: 0.000800
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Training Epoch: 20 [28928/46250]	Loss: 0.2180	LR: 0.000800
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Training Epoch: 20 [43520/46250]	Loss: 0.2022	LR: 0.000800
Training Epoch: 20 [43776/46250]	Loss: 0.3332	LR: 0.000800
Training Epoch: 20 [44032/46250]	Loss: 0.2218	LR: 0.000800
Training Epoch: 20 [44288/46250]	Loss: 0.3149	LR: 0.000800
Training Epoch: 20 [44544/46250]	Loss: 0.2306	LR: 0.000800
Training Epoch: 20 [44800/46250]	Loss: 0.2331	LR: 0.000800
Training Epoch: 20 [45056/46250]	Loss: 0.2691	LR: 0.000800
Training Epoch: 20 [45312/46250]	Loss: 0.2155	LR: 0.000800
Training Epoch: 20 [45568/46250]	Loss: 0.2435	LR: 0.000800
Training Epoch: 20 [45824/46250]	Loss: 0.2788	LR: 0.000800
Training Epoch: 20 [46080/46250]	Loss: 0.2828	LR: 0.000800
Training Epoch: 20 [46250/46250]	Loss: 0.2767	LR: 0.000800
Epoch 20 - Average Train Loss: 0.2686, Train Accuracy: 0.9073
Epoch 20 training time consumed: 28.12s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0013, Accuracy: 0.8922, Time consumed:0.99s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_07h_05m_26s/ResNet18-Cifar10-seed5-ret25-20-best.pth
Valid (Test) Dl:  10000
Train Dl:  50000
Retain Train Dl:  46250
Forget Train Dl:  3750
Retain Valid Dl:  46250
Forget Valid Dl:  3750
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 3750 samples
Set1 Distribution: 3750 samples
Set2 Distribution: 3750 samples
MIA Attack Accuracy with XGBoost: 0.7307
Set1 Distribution: 3750 samples
Set2 Distribution: 3750 samples
MIA Attack Accuracy with XGBoost: 0.5013
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
MIA Attack Accuracy with XGBoost: 0.6733
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
MIA Attack Accuracy with XGBoost: 0.5122
Test Accuracy: 91.552734375
Retain Accuracy: 94.11995697021484
Zero-Retain Forget (ZRF): 0.8199711441993713
Membership Inference Attack (MIA): 0.7117333333333333
Forget vs Retain Membership Inference Attack (MIA): 0.7306666666666667
Forget vs Test Membership Inference Attack (MIA): 0.5013333333333333
Test vs Retain Membership Inference Attack (MIA): 0.67325
Train vs Test Membership Inference Attack (MIA): 0.51225
Forget Set Accuracy (Df): 95.02164459228516
Method Execution Time: 2351.01 seconds
