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

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

Updated class distribution:
Retain set:
  Class 0: 4625
  Class 1: 4625
  Class 2: 4625
  Class 3: 4625
  Class 4: 4625
  Class 5: 4625
  Class 6: 4625
  Class 7: 4625
  Class 8: 4625
  Class 9: 4625
Forget set:
  Class 0: 375
  Class 1: 375
  Class 2: 375
  Class 3: 375
  Class 4: 375
  Class 5: 375
  Class 6: 375
  Class 7: 375
  Class 8: 375
  Class 9: 375
⚠️ Warning: Retain train loader may not be shuffled.
Training Epoch: 1 [256/46250]	Loss: 2.4887	LR: 0.000000
Training Epoch: 1 [512/46250]	Loss: 2.5543	LR: 0.000552
Training Epoch: 1 [768/46250]	Loss: 2.5093	LR: 0.001105
Training Epoch: 1 [1024/46250]	Loss: 2.4078	LR: 0.001657
Training Epoch: 1 [1280/46250]	Loss: 2.3668	LR: 0.002210
Training Epoch: 1 [1536/46250]	Loss: 2.3119	LR: 0.002762
Training Epoch: 1 [1792/46250]	Loss: 2.2822	LR: 0.003315
Training Epoch: 1 [2048/46250]	Loss: 2.2724	LR: 0.003867
Training Epoch: 1 [2304/46250]	Loss: 2.2678	LR: 0.004420
Training Epoch: 1 [2560/46250]	Loss: 2.3556	LR: 0.004972
Training Epoch: 1 [2816/46250]	Loss: 2.2313	LR: 0.005525
Training Epoch: 1 [3072/46250]	Loss: 2.1666	LR: 0.006077
Training Epoch: 1 [3328/46250]	Loss: 2.1094	LR: 0.006630
Training Epoch: 1 [3584/46250]	Loss: 2.1111	LR: 0.007182
Training Epoch: 1 [3840/46250]	Loss: 2.0646	LR: 0.007735
Training Epoch: 1 [4096/46250]	Loss: 2.0753	LR: 0.008287
Training Epoch: 1 [4352/46250]	Loss: 2.2471	LR: 0.008840
Training Epoch: 1 [4608/46250]	Loss: 2.1754	LR: 0.009392
Training Epoch: 1 [4864/46250]	Loss: 2.0268	LR: 0.009945
Training Epoch: 1 [5120/46250]	Loss: 2.0911	LR: 0.010497
Training Epoch: 1 [5376/46250]	Loss: 2.0286	LR: 0.011050
Training Epoch: 1 [5632/46250]	Loss: 1.9556	LR: 0.011602
Training Epoch: 1 [5888/46250]	Loss: 2.0533	LR: 0.012155
Training Epoch: 1 [6144/46250]	Loss: 1.8772	LR: 0.012707
Training Epoch: 1 [6400/46250]	Loss: 1.8819	LR: 0.013260
Training Epoch: 1 [6656/46250]	Loss: 1.9681	LR: 0.013812
Training Epoch: 1 [6912/46250]	Loss: 1.8603	LR: 0.014365
Training Epoch: 1 [7168/46250]	Loss: 1.9150	LR: 0.014917
Training Epoch: 1 [7424/46250]	Loss: 1.8063	LR: 0.015470
Training Epoch: 1 [7680/46250]	Loss: 1.7824	LR: 0.016022
Training Epoch: 1 [7936/46250]	Loss: 1.7961	LR: 0.016575
Training Epoch: 1 [8192/46250]	Loss: 1.8970	LR: 0.017127
Training Epoch: 1 [8448/46250]	Loss: 1.8167	LR: 0.017680
Training Epoch: 1 [8704/46250]	Loss: 1.8394	LR: 0.018232
Training Epoch: 1 [8960/46250]	Loss: 1.7436	LR: 0.018785
Training Epoch: 1 [9216/46250]	Loss: 1.9224	LR: 0.019337
Training Epoch: 1 [9472/46250]	Loss: 1.9835	LR: 0.019890
Training Epoch: 1 [9728/46250]	Loss: 1.7114	LR: 0.020442
Training Epoch: 1 [9984/46250]	Loss: 1.7305	LR: 0.020994
Training Epoch: 1 [10240/46250]	Loss: 1.9282	LR: 0.021547
Training Epoch: 1 [10496/46250]	Loss: 1.9148	LR: 0.022099
Training Epoch: 1 [10752/46250]	Loss: 1.8879	LR: 0.022652
Training Epoch: 1 [11008/46250]	Loss: 1.9663	LR: 0.023204
Training Epoch: 1 [11264/46250]	Loss: 1.8743	LR: 0.023757
Training Epoch: 1 [11520/46250]	Loss: 1.7530	LR: 0.024309
Training Epoch: 1 [11776/46250]	Loss: 1.7852	LR: 0.024862
Training Epoch: 1 [12032/46250]	Loss: 1.8654	LR: 0.025414
Training Epoch: 1 [12288/46250]	Loss: 1.7366	LR: 0.025967
Training Epoch: 1 [12544/46250]	Loss: 1.9213	LR: 0.026519
Training Epoch: 1 [12800/46250]	Loss: 1.8079	LR: 0.027072
Training Epoch: 1 [13056/46250]	Loss: 1.9087	LR: 0.027624
Training Epoch: 1 [13312/46250]	Loss: 1.7417	LR: 0.028177
Training Epoch: 1 [13568/46250]	Loss: 1.9048	LR: 0.028729
Training Epoch: 1 [13824/46250]	Loss: 1.7750	LR: 0.029282
Training Epoch: 1 [14080/46250]	Loss: 1.8712	LR: 0.029834
Training Epoch: 1 [14336/46250]	Loss: 1.7177	LR: 0.030387
Training Epoch: 1 [14592/46250]	Loss: 1.7424	LR: 0.030939
Training Epoch: 1 [14848/46250]	Loss: 1.9359	LR: 0.031492
Training Epoch: 1 [15104/46250]	Loss: 1.8667	LR: 0.032044
Training Epoch: 1 [15360/46250]	Loss: 1.8511	LR: 0.032597
Training Epoch: 1 [15616/46250]	Loss: 1.7923	LR: 0.033149
Training Epoch: 1 [15872/46250]	Loss: 1.7801	LR: 0.033702
Training Epoch: 1 [16128/46250]	Loss: 1.7820	LR: 0.034254
Training Epoch: 1 [16384/46250]	Loss: 1.7928	LR: 0.034807
Training Epoch: 1 [16640/46250]	Loss: 1.6963	LR: 0.035359
Training Epoch: 1 [16896/46250]	Loss: 1.8272	LR: 0.035912
Training Epoch: 1 [17152/46250]	Loss: 1.8515	LR: 0.036464
Training Epoch: 1 [17408/46250]	Loss: 1.6837	LR: 0.037017
Training Epoch: 1 [17664/46250]	Loss: 1.9191	LR: 0.037569
Training Epoch: 1 [17920/46250]	Loss: 1.7626	LR: 0.038122
Training Epoch: 1 [18176/46250]	Loss: 1.7492	LR: 0.038674
Training Epoch: 1 [18432/46250]	Loss: 1.6906	LR: 0.039227
Training Epoch: 1 [18688/46250]	Loss: 1.9022	LR: 0.039779
Training Epoch: 1 [18944/46250]	Loss: 1.7440	LR: 0.040331
Training Epoch: 1 [19200/46250]	Loss: 1.8336	LR: 0.040884
Training Epoch: 1 [19456/46250]	Loss: 1.6966	LR: 0.041436
Training Epoch: 1 [19712/46250]	Loss: 1.6238	LR: 0.041989
Training Epoch: 1 [19968/46250]	Loss: 1.8073	LR: 0.042541
Training Epoch: 1 [20224/46250]	Loss: 1.6325	LR: 0.043094
Training Epoch: 1 [20480/46250]	Loss: 1.7072	LR: 0.043646
Training Epoch: 1 [20736/46250]	Loss: 1.8058	LR: 0.044199
Training Epoch: 1 [20992/46250]	Loss: 1.7254	LR: 0.044751
Training Epoch: 1 [21248/46250]	Loss: 1.8092	LR: 0.045304
Training Epoch: 1 [21504/46250]	Loss: 1.7468	LR: 0.045856
Training Epoch: 1 [21760/46250]	Loss: 1.7173	LR: 0.046409
Training Epoch: 1 [22016/46250]	Loss: 1.6307	LR: 0.046961
Training Epoch: 1 [22272/46250]	Loss: 1.8505	LR: 0.047514
Training Epoch: 1 [22528/46250]	Loss: 1.7222	LR: 0.048066
Training Epoch: 1 [22784/46250]	Loss: 1.6811	LR: 0.048619
Training Epoch: 1 [23040/46250]	Loss: 1.7987	LR: 0.049171
Training Epoch: 1 [23296/46250]	Loss: 1.6233	LR: 0.049724
Training Epoch: 1 [23552/46250]	Loss: 2.0831	LR: 0.050276
Training Epoch: 1 [23808/46250]	Loss: 1.7389	LR: 0.050829
Training Epoch: 1 [24064/46250]	Loss: 1.8785	LR: 0.051381
Training Epoch: 1 [24320/46250]	Loss: 2.0400	LR: 0.051934
Training Epoch: 1 [24576/46250]	Loss: 1.5550	LR: 0.052486
Training Epoch: 1 [24832/46250]	Loss: 1.8348	LR: 0.053039
Training Epoch: 1 [25088/46250]	Loss: 1.7393	LR: 0.053591
Training Epoch: 1 [25344/46250]	Loss: 1.7406	LR: 0.054144
Training Epoch: 1 [25600/46250]	Loss: 2.1059	LR: 0.054696
Training Epoch: 1 [25856/46250]	Loss: 1.6133	LR: 0.055249
Training Epoch: 1 [26112/46250]	Loss: 1.6891	LR: 0.055801
Training Epoch: 1 [26368/46250]	Loss: 1.7010	LR: 0.056354
Training Epoch: 1 [26624/46250]	Loss: 1.5968	LR: 0.056906
Training Epoch: 1 [26880/46250]	Loss: 1.6909	LR: 0.057459
Training Epoch: 1 [27136/46250]	Loss: 1.6453	LR: 0.058011
Training Epoch: 1 [27392/46250]	Loss: 1.5859	LR: 0.058564
Training Epoch: 1 [27648/46250]	Loss: 1.6334	LR: 0.059116
Training Epoch: 1 [27904/46250]	Loss: 1.5446	LR: 0.059669
Training Epoch: 1 [28160/46250]	Loss: 1.7191	LR: 0.060221
Training Epoch: 1 [28416/46250]	Loss: 1.7577	LR: 0.060773
Training Epoch: 1 [28672/46250]	Loss: 1.5014	LR: 0.061326
Training Epoch: 1 [28928/46250]	Loss: 1.5532	LR: 0.061878
Training Epoch: 1 [29184/46250]	Loss: 1.6892	LR: 0.062431
Training Epoch: 1 [29440/46250]	Loss: 1.5456	LR: 0.062983
Training Epoch: 1 [29696/46250]	Loss: 1.6012	LR: 0.063536
Training Epoch: 1 [29952/46250]	Loss: 1.5921	LR: 0.064088
Training Epoch: 1 [30208/46250]	Loss: 1.6312	LR: 0.064641
Training Epoch: 1 [30464/46250]	Loss: 1.7867	LR: 0.065193
Training Epoch: 1 [30720/46250]	Loss: 1.7493	LR: 0.065746
Training Epoch: 1 [30976/46250]	Loss: 1.4961	LR: 0.066298
Training Epoch: 1 [31232/46250]	Loss: 1.6280	LR: 0.066851
Training Epoch: 1 [31488/46250]	Loss: 1.6846	LR: 0.067403
Training Epoch: 1 [31744/46250]	Loss: 1.7187	LR: 0.067956
Training Epoch: 1 [32000/46250]	Loss: 1.5277	LR: 0.068508
Training Epoch: 1 [32256/46250]	Loss: 1.6433	LR: 0.069061
Training Epoch: 1 [32512/46250]	Loss: 1.5836	LR: 0.069613
Training Epoch: 1 [32768/46250]	Loss: 1.5538	LR: 0.070166
Training Epoch: 1 [33024/46250]	Loss: 1.5322	LR: 0.070718
Training Epoch: 1 [33280/46250]	Loss: 1.6748	LR: 0.071271
Training Epoch: 1 [33536/46250]	Loss: 1.4997	LR: 0.071823
Training Epoch: 1 [33792/46250]	Loss: 1.4859	LR: 0.072376
Training Epoch: 1 [34048/46250]	Loss: 1.5161	LR: 0.072928
Training Epoch: 1 [34304/46250]	Loss: 1.3769	LR: 0.073481
Training Epoch: 1 [34560/46250]	Loss: 1.4280	LR: 0.074033
Training Epoch: 1 [34816/46250]	Loss: 1.6847	LR: 0.074586
Training Epoch: 1 [35072/46250]	Loss: 1.5522	LR: 0.075138
Training Epoch: 1 [35328/46250]	Loss: 1.5187	LR: 0.075691
Training Epoch: 1 [35584/46250]	Loss: 1.6628	LR: 0.076243
Training Epoch: 1 [35840/46250]	Loss: 1.6071	LR: 0.076796
Training Epoch: 1 [36096/46250]	Loss: 1.6238	LR: 0.077348
Training Epoch: 1 [36352/46250]	Loss: 1.4875	LR: 0.077901
Training Epoch: 1 [36608/46250]	Loss: 1.6630	LR: 0.078453
Training Epoch: 1 [36864/46250]	Loss: 1.6427	LR: 0.079006
Training Epoch: 1 [37120/46250]	Loss: 1.4659	LR: 0.079558
Training Epoch: 1 [37376/46250]	Loss: 1.4226	LR: 0.080110
Training Epoch: 1 [37632/46250]	Loss: 1.5826	LR: 0.080663
Training Epoch: 1 [37888/46250]	Loss: 1.5136	LR: 0.081215
Training Epoch: 1 [38144/46250]	Loss: 1.3412	LR: 0.081768
Training Epoch: 1 [38400/46250]	Loss: 1.3343	LR: 0.082320
Training Epoch: 1 [38656/46250]	Loss: 1.3806	LR: 0.082873
Training Epoch: 1 [38912/46250]	Loss: 1.5932	LR: 0.083425
Training Epoch: 1 [39168/46250]	Loss: 1.4772	LR: 0.083978
Training Epoch: 1 [39424/46250]	Loss: 1.4543	LR: 0.084530
Training Epoch: 1 [39680/46250]	Loss: 1.4766	LR: 0.085083
Training Epoch: 1 [39936/46250]	Loss: 1.4978	LR: 0.085635
Training Epoch: 1 [40192/46250]	Loss: 1.3858	LR: 0.086188
Training Epoch: 1 [40448/46250]	Loss: 1.5825	LR: 0.086740
Training Epoch: 1 [40704/46250]	Loss: 1.3789	LR: 0.087293
Training Epoch: 1 [40960/46250]	Loss: 1.5095	LR: 0.087845
Training Epoch: 1 [41216/46250]	Loss: 1.3637	LR: 0.088398
Training Epoch: 1 [41472/46250]	Loss: 1.5561	LR: 0.088950
Training Epoch: 1 [41728/46250]	Loss: 1.4351	LR: 0.089503
Training Epoch: 1 [41984/46250]	Loss: 1.5466	LR: 0.090055
Training Epoch: 1 [42240/46250]	Loss: 1.4621	LR: 0.090608
Training Epoch: 1 [42496/46250]	Loss: 1.5369	LR: 0.091160
Training Epoch: 1 [42752/46250]	Loss: 1.4522	LR: 0.091713
Training Epoch: 1 [43008/46250]	Loss: 1.3975	LR: 0.092265
Training Epoch: 1 [43264/46250]	Loss: 1.4845	LR: 0.092818
Training Epoch: 1 [43520/46250]	Loss: 1.5194	LR: 0.093370
Training Epoch: 1 [43776/46250]	Loss: 1.5333	LR: 0.093923
Training Epoch: 1 [44032/46250]	Loss: 1.4702	LR: 0.094475
Training Epoch: 1 [44288/46250]	Loss: 1.4931	LR: 0.095028
Training Epoch: 1 [44544/46250]	Loss: 1.4338	LR: 0.095580
Training Epoch: 1 [44800/46250]	Loss: 1.4002	LR: 0.096133
Training Epoch: 1 [45056/46250]	Loss: 1.5258	LR: 0.096685
Training Epoch: 1 [45312/46250]	Loss: 1.3098	LR: 0.097238
Training Epoch: 1 [45568/46250]	Loss: 1.4871	LR: 0.097790
Training Epoch: 1 [45824/46250]	Loss: 1.6729	LR: 0.098343
Training Epoch: 1 [46080/46250]	Loss: 1.3969	LR: 0.098895
Training Epoch: 1 [46250/46250]	Loss: 1.5580	LR: 0.099448
Epoch 1 - Average Train Loss: 1.7440, Train Accuracy: 0.3614
Epoch 1 training time consumed: 28.05s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0075, Accuracy: 0.3985, Time consumed:0.98s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_09h_43m_51s/ResNet18-Cifar10-seed9-ret25-1-best.pth
Training Epoch: 2 [256/46250]	Loss: 1.4245	LR: 0.100000
Training Epoch: 2 [512/46250]	Loss: 1.4775	LR: 0.100000
Training Epoch: 2 [768/46250]	Loss: 1.4721	LR: 0.100000
Training Epoch: 2 [1024/46250]	Loss: 1.4462	LR: 0.100000
Training Epoch: 2 [1280/46250]	Loss: 1.3349	LR: 0.100000
Training Epoch: 2 [1536/46250]	Loss: 1.4179	LR: 0.100000
Training Epoch: 2 [1792/46250]	Loss: 1.4555	LR: 0.100000
Training Epoch: 2 [2048/46250]	Loss: 1.3705	LR: 0.100000
Training Epoch: 2 [2304/46250]	Loss: 1.4170	LR: 0.100000
Training Epoch: 2 [2560/46250]	Loss: 1.4243	LR: 0.100000
Training Epoch: 2 [2816/46250]	Loss: 1.3947	LR: 0.100000
Training Epoch: 2 [3072/46250]	Loss: 1.4156	LR: 0.100000
Training Epoch: 2 [3328/46250]	Loss: 1.2101	LR: 0.100000
Training Epoch: 2 [3584/46250]	Loss: 1.2944	LR: 0.100000
Training Epoch: 2 [3840/46250]	Loss: 1.5435	LR: 0.100000
Training Epoch: 2 [4096/46250]	Loss: 1.3769	LR: 0.100000
Training Epoch: 2 [4352/46250]	Loss: 1.3967	LR: 0.100000
Training Epoch: 2 [4608/46250]	Loss: 1.3305	LR: 0.100000
Training Epoch: 2 [4864/46250]	Loss: 1.5410	LR: 0.100000
Training Epoch: 2 [5120/46250]	Loss: 1.3751	LR: 0.100000
Training Epoch: 2 [5376/46250]	Loss: 1.4410	LR: 0.100000
Training Epoch: 2 [5632/46250]	Loss: 1.2577	LR: 0.100000
Training Epoch: 2 [5888/46250]	Loss: 1.4246	LR: 0.100000
Training Epoch: 2 [6144/46250]	Loss: 1.4450	LR: 0.100000
Training Epoch: 2 [6400/46250]	Loss: 1.3141	LR: 0.100000
Training Epoch: 2 [6656/46250]	Loss: 1.3871	LR: 0.100000
Training Epoch: 2 [6912/46250]	Loss: 1.4385	LR: 0.100000
Training Epoch: 2 [7168/46250]	Loss: 1.2146	LR: 0.100000
Training Epoch: 2 [7424/46250]	Loss: 1.4172	LR: 0.100000
Training Epoch: 2 [7680/46250]	Loss: 1.4482	LR: 0.100000
Training Epoch: 2 [7936/46250]	Loss: 1.3683	LR: 0.100000
Training Epoch: 2 [8192/46250]	Loss: 1.4291	LR: 0.100000
Training Epoch: 2 [8448/46250]	Loss: 1.4008	LR: 0.100000
Training Epoch: 2 [8704/46250]	Loss: 1.3689	LR: 0.100000
Training Epoch: 2 [8960/46250]	Loss: 1.3082	LR: 0.100000
Training Epoch: 2 [9216/46250]	Loss: 1.4025	LR: 0.100000
Training Epoch: 2 [9472/46250]	Loss: 1.3235	LR: 0.100000
Training Epoch: 2 [9728/46250]	Loss: 1.3683	LR: 0.100000
Training Epoch: 2 [9984/46250]	Loss: 1.2536	LR: 0.100000
Training Epoch: 2 [10240/46250]	Loss: 1.3001	LR: 0.100000
Training Epoch: 2 [10496/46250]	Loss: 1.3843	LR: 0.100000
Training Epoch: 2 [10752/46250]	Loss: 1.3274	LR: 0.100000
Training Epoch: 2 [11008/46250]	Loss: 1.1307	LR: 0.100000
Training Epoch: 2 [11264/46250]	Loss: 1.1957	LR: 0.100000
Training Epoch: 2 [11520/46250]	Loss: 1.3111	LR: 0.100000
Training Epoch: 2 [11776/46250]	Loss: 1.2296	LR: 0.100000
Training Epoch: 2 [12032/46250]	Loss: 1.2853	LR: 0.100000
Training Epoch: 2 [12288/46250]	Loss: 1.3122	LR: 0.100000
Training Epoch: 2 [12544/46250]	Loss: 1.2823	LR: 0.100000
Training Epoch: 2 [12800/46250]	Loss: 1.3186	LR: 0.100000
Training Epoch: 2 [13056/46250]	Loss: 1.3295	LR: 0.100000
Training Epoch: 2 [13312/46250]	Loss: 1.1979	LR: 0.100000
Training Epoch: 2 [13568/46250]	Loss: 1.3507	LR: 0.100000
Training Epoch: 2 [13824/46250]	Loss: 1.2621	LR: 0.100000
Training Epoch: 2 [14080/46250]	Loss: 1.2611	LR: 0.100000
Training Epoch: 2 [14336/46250]	Loss: 1.3396	LR: 0.100000
Training Epoch: 2 [14592/46250]	Loss: 1.2100	LR: 0.100000
Training Epoch: 2 [14848/46250]	Loss: 1.2852	LR: 0.100000
Training Epoch: 2 [15104/46250]	Loss: 1.2909	LR: 0.100000
Training Epoch: 2 [15360/46250]	Loss: 1.2629	LR: 0.100000
Training Epoch: 2 [15616/46250]	Loss: 1.3556	LR: 0.100000
Training Epoch: 2 [15872/46250]	Loss: 1.1588	LR: 0.100000
Training Epoch: 2 [16128/46250]	Loss: 1.2333	LR: 0.100000
Training Epoch: 2 [16384/46250]	Loss: 1.2299	LR: 0.100000
Training Epoch: 2 [16640/46250]	Loss: 1.2579	LR: 0.100000
Training Epoch: 2 [16896/46250]	Loss: 1.2001	LR: 0.100000
Training Epoch: 2 [17152/46250]	Loss: 1.1367	LR: 0.100000
Training Epoch: 2 [17408/46250]	Loss: 1.0938	LR: 0.100000
Training Epoch: 2 [17664/46250]	Loss: 1.3348	LR: 0.100000
Training Epoch: 2 [17920/46250]	Loss: 1.3571	LR: 0.100000
Training Epoch: 2 [18176/46250]	Loss: 1.3273	LR: 0.100000
Training Epoch: 2 [18432/46250]	Loss: 1.1613	LR: 0.100000
Training Epoch: 2 [18688/46250]	Loss: 1.2054	LR: 0.100000
Training Epoch: 2 [18944/46250]	Loss: 1.2403	LR: 0.100000
Training Epoch: 2 [19200/46250]	Loss: 1.2461	LR: 0.100000
Training Epoch: 2 [19456/46250]	Loss: 1.2478	LR: 0.100000
Training Epoch: 2 [19712/46250]	Loss: 1.1808	LR: 0.100000
Training Epoch: 2 [19968/46250]	Loss: 1.2187	LR: 0.100000
Training Epoch: 2 [20224/46250]	Loss: 1.2485	LR: 0.100000
Training Epoch: 2 [20480/46250]	Loss: 1.2640	LR: 0.100000
Training Epoch: 2 [20736/46250]	Loss: 1.3395	LR: 0.100000
Training Epoch: 2 [20992/46250]	Loss: 1.2285	LR: 0.100000
Training Epoch: 2 [21248/46250]	Loss: 1.1530	LR: 0.100000
Training Epoch: 2 [21504/46250]	Loss: 1.2162	LR: 0.100000
Training Epoch: 2 [21760/46250]	Loss: 1.3349	LR: 0.100000
Training Epoch: 2 [22016/46250]	Loss: 1.2203	LR: 0.100000
Training Epoch: 2 [22272/46250]	Loss: 1.3018	LR: 0.100000
Training Epoch: 2 [22528/46250]	Loss: 1.1239	LR: 0.100000
Training Epoch: 2 [22784/46250]	Loss: 1.1860	LR: 0.100000
Training Epoch: 2 [23040/46250]	Loss: 1.1865	LR: 0.100000
Training Epoch: 2 [23296/46250]	Loss: 1.1877	LR: 0.100000
Training Epoch: 2 [23552/46250]	Loss: 1.0998	LR: 0.100000
Training Epoch: 2 [23808/46250]	Loss: 1.2632	LR: 0.100000
Training Epoch: 2 [24064/46250]	Loss: 1.1612	LR: 0.100000
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Training Epoch: 2 [46080/46250]	Loss: 1.0043	LR: 0.100000
Training Epoch: 2 [46250/46250]	Loss: 0.9497	LR: 0.100000
Epoch 2 - Average Train Loss: 1.2151, Train Accuracy: 0.5608
Epoch 2 training time consumed: 27.66s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0046, Accuracy: 0.5993, Time consumed:0.98s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_09h_43m_51s/ResNet18-Cifar10-seed9-ret25-2-best.pth
Training Epoch: 3 [256/46250]	Loss: 1.0354	LR: 0.100000
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Training Epoch: 3 [46250/46250]	Loss: 0.8622	LR: 0.100000
Epoch 3 - Average Train Loss: 0.9610, Train Accuracy: 0.6584
Epoch 3 training time consumed: 27.74s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0051, Accuracy: 0.5852, Time consumed:0.98s
Training Epoch: 4 [256/46250]	Loss: 0.8656	LR: 0.100000
Training Epoch: 4 [512/46250]	Loss: 1.0774	LR: 0.100000
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Training Epoch: 4 [1024/46250]	Loss: 0.8617	LR: 0.100000
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Training Epoch: 4 [46250/46250]	Loss: 0.5612	LR: 0.100000
Epoch 4 - Average Train Loss: 0.8247, Train Accuracy: 0.7112
Epoch 4 training time consumed: 27.64s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0036, Accuracy: 0.6885, Time consumed:0.99s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_09h_43m_51s/ResNet18-Cifar10-seed9-ret25-4-best.pth
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Training Epoch: 5 [46250/46250]	Loss: 0.7400	LR: 0.100000
Epoch 5 - Average Train Loss: 0.7241, Train Accuracy: 0.7455
Epoch 5 training time consumed: 28.14s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0033, Accuracy: 0.7180, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_09h_43m_51s/ResNet18-Cifar10-seed9-ret25-5-best.pth
Training Epoch: 6 [256/46250]	Loss: 0.6824	LR: 0.100000
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Training Epoch: 6 [46250/46250]	Loss: 0.5499	LR: 0.100000
Epoch 6 - Average Train Loss: 0.6595, Train Accuracy: 0.7703
Epoch 6 training time consumed: 27.88s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0028, Accuracy: 0.7594, Time consumed:0.98s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_09h_43m_51s/ResNet18-Cifar10-seed9-ret25-6-best.pth
Training Epoch: 7 [256/46250]	Loss: 0.6104	LR: 0.100000
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Training Epoch: 7 [46250/46250]	Loss: 0.5909	LR: 0.100000
Epoch 7 - Average Train Loss: 0.6094, Train Accuracy: 0.7880
Epoch 7 training time consumed: 27.87s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0028, Accuracy: 0.7652, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_09h_43m_51s/ResNet18-Cifar10-seed9-ret25-7-best.pth
Training Epoch: 8 [256/46250]	Loss: 0.5827	LR: 0.020000
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Training Epoch: 8 [46080/46250]	Loss: 0.3271	LR: 0.020000
Training Epoch: 8 [46250/46250]	Loss: 0.4005	LR: 0.020000
Epoch 8 - Average Train Loss: 0.4564, Train Accuracy: 0.8400
Epoch 8 training time consumed: 27.84s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0018, Accuracy: 0.8509, Time consumed:1.00s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_09h_43m_51s/ResNet18-Cifar10-seed9-ret25-8-best.pth
Training Epoch: 9 [256/46250]	Loss: 0.4250	LR: 0.020000
Training Epoch: 9 [512/46250]	Loss: 0.3742	LR: 0.020000
Training Epoch: 9 [768/46250]	Loss: 0.3833	LR: 0.020000
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Training Epoch: 9 [46080/46250]	Loss: 0.5055	LR: 0.020000
Training Epoch: 9 [46250/46250]	Loss: 0.4700	LR: 0.020000
Epoch 9 - Average Train Loss: 0.4071, Train Accuracy: 0.8574
Epoch 9 training time consumed: 28.00s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0017, Accuracy: 0.8563, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_09h_43m_51s/ResNet18-Cifar10-seed9-ret25-9-best.pth
Training Epoch: 10 [256/46250]	Loss: 0.4421	LR: 0.020000
Training Epoch: 10 [512/46250]	Loss: 0.3260	LR: 0.020000
Training Epoch: 10 [768/46250]	Loss: 0.3979	LR: 0.020000
Training Epoch: 10 [1024/46250]	Loss: 0.3763	LR: 0.020000
Training Epoch: 10 [1280/46250]	Loss: 0.3096	LR: 0.020000
Training Epoch: 10 [1536/46250]	Loss: 0.3185	LR: 0.020000
Training Epoch: 10 [1792/46250]	Loss: 0.4258	LR: 0.020000
Training Epoch: 10 [2048/46250]	Loss: 0.4260	LR: 0.020000
Training Epoch: 10 [2304/46250]	Loss: 0.4558	LR: 0.020000
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Training Epoch: 10 [24576/46250]	Loss: 0.3813	LR: 0.020000
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Training Epoch: 10 [25344/46250]	Loss: 0.5385	LR: 0.020000
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Training Epoch: 10 [43520/46250]	Loss: 0.3895	LR: 0.020000
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Training Epoch: 10 [44032/46250]	Loss: 0.3773	LR: 0.020000
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Training Epoch: 10 [45056/46250]	Loss: 0.4349	LR: 0.020000
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Training Epoch: 10 [45824/46250]	Loss: 0.4534	LR: 0.020000
Training Epoch: 10 [46080/46250]	Loss: 0.3978	LR: 0.020000
Training Epoch: 10 [46250/46250]	Loss: 0.3364	LR: 0.020000
Epoch 10 - Average Train Loss: 0.3833, Train Accuracy: 0.8657
Epoch 10 training time consumed: 27.87s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0017, Accuracy: 0.8600, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_09h_43m_51s/ResNet18-Cifar10-seed9-ret25-10-best.pth
Training Epoch: 11 [256/46250]	Loss: 0.3483	LR: 0.020000
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Training Epoch: 11 [768/46250]	Loss: 0.3561	LR: 0.020000
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Training Epoch: 11 [43776/46250]	Loss: 0.2793	LR: 0.020000
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Training Epoch: 11 [44288/46250]	Loss: 0.3353	LR: 0.020000
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Training Epoch: 11 [44800/46250]	Loss: 0.3887	LR: 0.020000
Training Epoch: 11 [45056/46250]	Loss: 0.3323	LR: 0.020000
Training Epoch: 11 [45312/46250]	Loss: 0.3938	LR: 0.020000
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Training Epoch: 11 [45824/46250]	Loss: 0.2814	LR: 0.020000
Training Epoch: 11 [46080/46250]	Loss: 0.3801	LR: 0.020000
Training Epoch: 11 [46250/46250]	Loss: 0.4144	LR: 0.020000
Epoch 11 - Average Train Loss: 0.3698, Train Accuracy: 0.8706
Epoch 11 training time consumed: 28.01s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0017, Accuracy: 0.8575, Time consumed:0.94s
Training Epoch: 12 [256/46250]	Loss: 0.2783	LR: 0.004000
Training Epoch: 12 [512/46250]	Loss: 0.3930	LR: 0.004000
Training Epoch: 12 [768/46250]	Loss: 0.3804	LR: 0.004000
Training Epoch: 12 [1024/46250]	Loss: 0.3084	LR: 0.004000
Training Epoch: 12 [1280/46250]	Loss: 0.2922	LR: 0.004000
Training Epoch: 12 [1536/46250]	Loss: 0.3573	LR: 0.004000
Training Epoch: 12 [1792/46250]	Loss: 0.3680	LR: 0.004000
Training Epoch: 12 [2048/46250]	Loss: 0.2719	LR: 0.004000
Training Epoch: 12 [2304/46250]	Loss: 0.3544	LR: 0.004000
Training Epoch: 12 [2560/46250]	Loss: 0.3221	LR: 0.004000
Training Epoch: 12 [2816/46250]	Loss: 0.4306	LR: 0.004000
Training Epoch: 12 [3072/46250]	Loss: 0.3744	LR: 0.004000
Training Epoch: 12 [3328/46250]	Loss: 0.2917	LR: 0.004000
Training Epoch: 12 [3584/46250]	Loss: 0.3262	LR: 0.004000
Training Epoch: 12 [3840/46250]	Loss: 0.3110	LR: 0.004000
Training Epoch: 12 [4096/46250]	Loss: 0.2802	LR: 0.004000
Training Epoch: 12 [4352/46250]	Loss: 0.3573	LR: 0.004000
Training Epoch: 12 [4608/46250]	Loss: 0.3662	LR: 0.004000
Training Epoch: 12 [4864/46250]	Loss: 0.3104	LR: 0.004000
Training Epoch: 12 [5120/46250]	Loss: 0.3663	LR: 0.004000
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Training Epoch: 12 [44288/46250]	Loss: 0.3455	LR: 0.004000
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Training Epoch: 12 [45568/46250]	Loss: 0.3231	LR: 0.004000
Training Epoch: 12 [45824/46250]	Loss: 0.3998	LR: 0.004000
Training Epoch: 12 [46080/46250]	Loss: 0.2778	LR: 0.004000
Training Epoch: 12 [46250/46250]	Loss: 0.3539	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3221, Train Accuracy: 0.8878
Epoch 12 training time consumed: 27.90s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0014, Accuracy: 0.8829, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_09h_43m_51s/ResNet18-Cifar10-seed9-ret25-12-best.pth
Training Epoch: 13 [256/46250]	Loss: 0.2447	LR: 0.004000
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Training Epoch: 13 [10496/46250]	Loss: 0.3076	LR: 0.004000
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Training Epoch: 13 [32000/46250]	Loss: 0.2663	LR: 0.004000
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Training Epoch: 13 [40448/46250]	Loss: 0.2908	LR: 0.004000
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Training Epoch: 13 [41472/46250]	Loss: 0.3343	LR: 0.004000
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Training Epoch: 13 [41984/46250]	Loss: 0.3590	LR: 0.004000
Training Epoch: 13 [42240/46250]	Loss: 0.3434	LR: 0.004000
Training Epoch: 13 [42496/46250]	Loss: 0.2945	LR: 0.004000
Training Epoch: 13 [42752/46250]	Loss: 0.2541	LR: 0.004000
Training Epoch: 13 [43008/46250]	Loss: 0.2428	LR: 0.004000
Training Epoch: 13 [43264/46250]	Loss: 0.3208	LR: 0.004000
Training Epoch: 13 [43520/46250]	Loss: 0.2689	LR: 0.004000
Training Epoch: 13 [43776/46250]	Loss: 0.1873	LR: 0.004000
Training Epoch: 13 [44032/46250]	Loss: 0.2721	LR: 0.004000
Training Epoch: 13 [44288/46250]	Loss: 0.2450	LR: 0.004000
Training Epoch: 13 [44544/46250]	Loss: 0.2708	LR: 0.004000
Training Epoch: 13 [44800/46250]	Loss: 0.2741	LR: 0.004000
Training Epoch: 13 [45056/46250]	Loss: 0.3088	LR: 0.004000
Training Epoch: 13 [45312/46250]	Loss: 0.2956	LR: 0.004000
Training Epoch: 13 [45568/46250]	Loss: 0.3305	LR: 0.004000
Training Epoch: 13 [45824/46250]	Loss: 0.2524	LR: 0.004000
Training Epoch: 13 [46080/46250]	Loss: 0.3955	LR: 0.004000
Training Epoch: 13 [46250/46250]	Loss: 0.3099	LR: 0.004000
Epoch 13 - Average Train Loss: 0.3077, Train Accuracy: 0.8925
Epoch 13 training time consumed: 27.90s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0014, Accuracy: 0.8831, Time consumed:1.01s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_09h_43m_51s/ResNet18-Cifar10-seed9-ret25-13-best.pth
Training Epoch: 14 [256/46250]	Loss: 0.3318	LR: 0.004000
Training Epoch: 14 [512/46250]	Loss: 0.2988	LR: 0.004000
Training Epoch: 14 [768/46250]	Loss: 0.3908	LR: 0.004000
Training Epoch: 14 [1024/46250]	Loss: 0.2733	LR: 0.004000
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Training Epoch: 14 [1536/46250]	Loss: 0.3143	LR: 0.004000
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Training Epoch: 14 [2048/46250]	Loss: 0.3281	LR: 0.004000
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Training Epoch: 14 [8448/46250]	Loss: 0.3332	LR: 0.004000
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Training Epoch: 14 [42496/46250]	Loss: 0.3111	LR: 0.004000
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Training Epoch: 14 [43520/46250]	Loss: 0.2997	LR: 0.004000
Training Epoch: 14 [43776/46250]	Loss: 0.2175	LR: 0.004000
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Training Epoch: 14 [44288/46250]	Loss: 0.3374	LR: 0.004000
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Training Epoch: 14 [44800/46250]	Loss: 0.2463	LR: 0.004000
Training Epoch: 14 [45056/46250]	Loss: 0.3542	LR: 0.004000
Training Epoch: 14 [45312/46250]	Loss: 0.2695	LR: 0.004000
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Training Epoch: 14 [46080/46250]	Loss: 0.2832	LR: 0.004000
Training Epoch: 14 [46250/46250]	Loss: 0.2888	LR: 0.004000
Epoch 14 - Average Train Loss: 0.2996, Train Accuracy: 0.8950
Epoch 14 training time consumed: 27.72s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0014, Accuracy: 0.8856, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_09h_43m_51s/ResNet18-Cifar10-seed9-ret25-14-best.pth
Training Epoch: 15 [256/46250]	Loss: 0.2868	LR: 0.004000
Training Epoch: 15 [512/46250]	Loss: 0.2874	LR: 0.004000
Training Epoch: 15 [768/46250]	Loss: 0.2803	LR: 0.004000
Training Epoch: 15 [1024/46250]	Loss: 0.2960	LR: 0.004000
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Training Epoch: 15 [2048/46250]	Loss: 0.2525	LR: 0.004000
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Training Epoch: 15 [11264/46250]	Loss: 0.2807	LR: 0.004000
Training Epoch: 15 [11520/46250]	Loss: 0.2668	LR: 0.004000
Training Epoch: 15 [11776/46250]	Loss: 0.2505	LR: 0.004000
Training Epoch: 15 [12032/46250]	Loss: 0.2895	LR: 0.004000
Training Epoch: 15 [12288/46250]	Loss: 0.3223	LR: 0.004000
Training Epoch: 15 [12544/46250]	Loss: 0.3243	LR: 0.004000
Training Epoch: 15 [12800/46250]	Loss: 0.2869	LR: 0.004000
Training Epoch: 15 [13056/46250]	Loss: 0.2991	LR: 0.004000
Training Epoch: 15 [13312/46250]	Loss: 0.2594	LR: 0.004000
Training Epoch: 15 [13568/46250]	Loss: 0.3268	LR: 0.004000
Training Epoch: 15 [13824/46250]	Loss: 0.3548	LR: 0.004000
Training Epoch: 15 [14080/46250]	Loss: 0.2259	LR: 0.004000
Training Epoch: 15 [14336/46250]	Loss: 0.3793	LR: 0.004000
Training Epoch: 15 [14592/46250]	Loss: 0.2604	LR: 0.004000
Training Epoch: 15 [14848/46250]	Loss: 0.2779	LR: 0.004000
Training Epoch: 15 [15104/46250]	Loss: 0.2493	LR: 0.004000
Training Epoch: 15 [15360/46250]	Loss: 0.3174	LR: 0.004000
Training Epoch: 15 [15616/46250]	Loss: 0.3267	LR: 0.004000
Training Epoch: 15 [15872/46250]	Loss: 0.2253	LR: 0.004000
Training Epoch: 15 [16128/46250]	Loss: 0.3551	LR: 0.004000
Training Epoch: 15 [16384/46250]	Loss: 0.3419	LR: 0.004000
Training Epoch: 15 [16640/46250]	Loss: 0.3699	LR: 0.004000
Training Epoch: 15 [16896/46250]	Loss: 0.3099	LR: 0.004000
Training Epoch: 15 [17152/46250]	Loss: 0.2707	LR: 0.004000
Training Epoch: 15 [17408/46250]	Loss: 0.2806	LR: 0.004000
Training Epoch: 15 [17664/46250]	Loss: 0.3127	LR: 0.004000
Training Epoch: 15 [17920/46250]	Loss: 0.2752	LR: 0.004000
Training Epoch: 15 [18176/46250]	Loss: 0.3138	LR: 0.004000
Training Epoch: 15 [18432/46250]	Loss: 0.2670	LR: 0.004000
Training Epoch: 15 [18688/46250]	Loss: 0.3744	LR: 0.004000
Training Epoch: 15 [18944/46250]	Loss: 0.3051	LR: 0.004000
Training Epoch: 15 [19200/46250]	Loss: 0.2758	LR: 0.004000
Training Epoch: 15 [19456/46250]	Loss: 0.3087	LR: 0.004000
Training Epoch: 15 [19712/46250]	Loss: 0.2442	LR: 0.004000
Training Epoch: 15 [19968/46250]	Loss: 0.2474	LR: 0.004000
Training Epoch: 15 [20224/46250]	Loss: 0.2462	LR: 0.004000
Training Epoch: 15 [20480/46250]	Loss: 0.2379	LR: 0.004000
Training Epoch: 15 [20736/46250]	Loss: 0.2981	LR: 0.004000
Training Epoch: 15 [20992/46250]	Loss: 0.2452	LR: 0.004000
Training Epoch: 15 [21248/46250]	Loss: 0.2461	LR: 0.004000
Training Epoch: 15 [21504/46250]	Loss: 0.2919	LR: 0.004000
Training Epoch: 15 [21760/46250]	Loss: 0.3586	LR: 0.004000
Training Epoch: 15 [22016/46250]	Loss: 0.2942	LR: 0.004000
Training Epoch: 15 [22272/46250]	Loss: 0.2453	LR: 0.004000
Training Epoch: 15 [22528/46250]	Loss: 0.2935	LR: 0.004000
Training Epoch: 15 [22784/46250]	Loss: 0.2864	LR: 0.004000
Training Epoch: 15 [23040/46250]	Loss: 0.2801	LR: 0.004000
Training Epoch: 15 [23296/46250]	Loss: 0.2353	LR: 0.004000
Training Epoch: 15 [23552/46250]	Loss: 0.2740	LR: 0.004000
Training Epoch: 15 [23808/46250]	Loss: 0.2697	LR: 0.004000
Training Epoch: 15 [24064/46250]	Loss: 0.2905	LR: 0.004000
Training Epoch: 15 [24320/46250]	Loss: 0.2548	LR: 0.004000
Training Epoch: 15 [24576/46250]	Loss: 0.2973	LR: 0.004000
Training Epoch: 15 [24832/46250]	Loss: 0.2885	LR: 0.004000
Training Epoch: 15 [25088/46250]	Loss: 0.2303	LR: 0.004000
Training Epoch: 15 [25344/46250]	Loss: 0.3039	LR: 0.004000
Training Epoch: 15 [25600/46250]	Loss: 0.3359	LR: 0.004000
Training Epoch: 15 [25856/46250]	Loss: 0.2047	LR: 0.004000
Training Epoch: 15 [26112/46250]	Loss: 0.2791	LR: 0.004000
Training Epoch: 15 [26368/46250]	Loss: 0.4022	LR: 0.004000
Training Epoch: 15 [26624/46250]	Loss: 0.3712	LR: 0.004000
Training Epoch: 15 [26880/46250]	Loss: 0.2959	LR: 0.004000
Training Epoch: 15 [27136/46250]	Loss: 0.2749	LR: 0.004000
Training Epoch: 15 [27392/46250]	Loss: 0.2428	LR: 0.004000
Training Epoch: 15 [27648/46250]	Loss: 0.2946	LR: 0.004000
Training Epoch: 15 [27904/46250]	Loss: 0.3279	LR: 0.004000
Training Epoch: 15 [28160/46250]	Loss: 0.2981	LR: 0.004000
Training Epoch: 15 [28416/46250]	Loss: 0.2448	LR: 0.004000
Training Epoch: 15 [28672/46250]	Loss: 0.2936	LR: 0.004000
Training Epoch: 15 [28928/46250]	Loss: 0.3676	LR: 0.004000
Training Epoch: 15 [29184/46250]	Loss: 0.3256	LR: 0.004000
Training Epoch: 15 [29440/46250]	Loss: 0.2719	LR: 0.004000
Training Epoch: 15 [29696/46250]	Loss: 0.2933	LR: 0.004000
Training Epoch: 15 [29952/46250]	Loss: 0.3234	LR: 0.004000
Training Epoch: 15 [30208/46250]	Loss: 0.3095	LR: 0.004000
Training Epoch: 15 [30464/46250]	Loss: 0.3401	LR: 0.004000
Training Epoch: 15 [30720/46250]	Loss: 0.2824	LR: 0.004000
Training Epoch: 15 [30976/46250]	Loss: 0.3095	LR: 0.004000
Training Epoch: 15 [31232/46250]	Loss: 0.2735	LR: 0.004000
Training Epoch: 15 [31488/46250]	Loss: 0.2315	LR: 0.004000
Training Epoch: 15 [31744/46250]	Loss: 0.3461	LR: 0.004000
Training Epoch: 15 [32000/46250]	Loss: 0.3290	LR: 0.004000
Training Epoch: 15 [32256/46250]	Loss: 0.2864	LR: 0.004000
Training Epoch: 15 [32512/46250]	Loss: 0.2940	LR: 0.004000
Training Epoch: 15 [32768/46250]	Loss: 0.2546	LR: 0.004000
Training Epoch: 15 [33024/46250]	Loss: 0.2987	LR: 0.004000
Training Epoch: 15 [33280/46250]	Loss: 0.3549	LR: 0.004000
Training Epoch: 15 [33536/46250]	Loss: 0.3054	LR: 0.004000
Training Epoch: 15 [33792/46250]	Loss: 0.2357	LR: 0.004000
Training Epoch: 15 [34048/46250]	Loss: 0.2670	LR: 0.004000
Training Epoch: 15 [34304/46250]	Loss: 0.3516	LR: 0.004000
Training Epoch: 15 [34560/46250]	Loss: 0.3826	LR: 0.004000
Training Epoch: 15 [34816/46250]	Loss: 0.3028	LR: 0.004000
Training Epoch: 15 [35072/46250]	Loss: 0.2840	LR: 0.004000
Training Epoch: 15 [35328/46250]	Loss: 0.2747	LR: 0.004000
Training Epoch: 15 [35584/46250]	Loss: 0.2552	LR: 0.004000
Training Epoch: 15 [35840/46250]	Loss: 0.2481	LR: 0.004000
Training Epoch: 15 [36096/46250]	Loss: 0.2124	LR: 0.004000
Training Epoch: 15 [36352/46250]	Loss: 0.2555	LR: 0.004000
Training Epoch: 15 [36608/46250]	Loss: 0.3330	LR: 0.004000
Training Epoch: 15 [36864/46250]	Loss: 0.2946	LR: 0.004000
Training Epoch: 15 [37120/46250]	Loss: 0.2988	LR: 0.004000
Training Epoch: 15 [37376/46250]	Loss: 0.3800	LR: 0.004000
Training Epoch: 15 [37632/46250]	Loss: 0.3019	LR: 0.004000
Training Epoch: 15 [37888/46250]	Loss: 0.2951	LR: 0.004000
Training Epoch: 15 [38144/46250]	Loss: 0.2811	LR: 0.004000
Training Epoch: 15 [38400/46250]	Loss: 0.2666	LR: 0.004000
Training Epoch: 15 [38656/46250]	Loss: 0.2905	LR: 0.004000
Training Epoch: 15 [38912/46250]	Loss: 0.3205	LR: 0.004000
Training Epoch: 15 [39168/46250]	Loss: 0.3272	LR: 0.004000
Training Epoch: 15 [39424/46250]	Loss: 0.3172	LR: 0.004000
Training Epoch: 15 [39680/46250]	Loss: 0.3005	LR: 0.004000
Training Epoch: 15 [39936/46250]	Loss: 0.3144	LR: 0.004000
Training Epoch: 15 [40192/46250]	Loss: 0.3683	LR: 0.004000
Training Epoch: 15 [40448/46250]	Loss: 0.3228	LR: 0.004000
Training Epoch: 15 [40704/46250]	Loss: 0.2495	LR: 0.004000
Training Epoch: 15 [40960/46250]	Loss: 0.2244	LR: 0.004000
Training Epoch: 15 [41216/46250]	Loss: 0.2854	LR: 0.004000
Training Epoch: 15 [41472/46250]	Loss: 0.2841	LR: 0.004000
Training Epoch: 15 [41728/46250]	Loss: 0.2974	LR: 0.004000
Training Epoch: 15 [41984/46250]	Loss: 0.3019	LR: 0.004000
Training Epoch: 15 [42240/46250]	Loss: 0.2608	LR: 0.004000
Training Epoch: 15 [42496/46250]	Loss: 0.3389	LR: 0.004000
Training Epoch: 15 [42752/46250]	Loss: 0.2658	LR: 0.004000
Training Epoch: 15 [43008/46250]	Loss: 0.3098	LR: 0.004000
Training Epoch: 15 [43264/46250]	Loss: 0.3581	LR: 0.004000
Training Epoch: 15 [43520/46250]	Loss: 0.2433	LR: 0.004000
Training Epoch: 15 [43776/46250]	Loss: 0.2853	LR: 0.004000
Training Epoch: 15 [44032/46250]	Loss: 0.2722	LR: 0.004000
Training Epoch: 15 [44288/46250]	Loss: 0.2616	LR: 0.004000
Training Epoch: 15 [44544/46250]	Loss: 0.2595	LR: 0.004000
Training Epoch: 15 [44800/46250]	Loss: 0.2952	LR: 0.004000
Training Epoch: 15 [45056/46250]	Loss: 0.3221	LR: 0.004000
Training Epoch: 15 [45312/46250]	Loss: 0.2561	LR: 0.004000
Training Epoch: 15 [45568/46250]	Loss: 0.2739	LR: 0.004000
Training Epoch: 15 [45824/46250]	Loss: 0.1978	LR: 0.004000
Training Epoch: 15 [46080/46250]	Loss: 0.2366	LR: 0.004000
Training Epoch: 15 [46250/46250]	Loss: 0.2130	LR: 0.004000
Epoch 15 - Average Train Loss: 0.2931, Train Accuracy: 0.8969
Epoch 15 training time consumed: 27.93s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0014, Accuracy: 0.8844, Time consumed:0.93s
Training Epoch: 16 [256/46250]	Loss: 0.3299	LR: 0.000800
Training Epoch: 16 [512/46250]	Loss: 0.2127	LR: 0.000800
Training Epoch: 16 [768/46250]	Loss: 0.3019	LR: 0.000800
Training Epoch: 16 [1024/46250]	Loss: 0.1756	LR: 0.000800
Training Epoch: 16 [1280/46250]	Loss: 0.2874	LR: 0.000800
Training Epoch: 16 [1536/46250]	Loss: 0.3402	LR: 0.000800
Training Epoch: 16 [1792/46250]	Loss: 0.3065	LR: 0.000800
Training Epoch: 16 [2048/46250]	Loss: 0.2805	LR: 0.000800
Training Epoch: 16 [2304/46250]	Loss: 0.2564	LR: 0.000800
Training Epoch: 16 [2560/46250]	Loss: 0.3580	LR: 0.000800
Training Epoch: 16 [2816/46250]	Loss: 0.3918	LR: 0.000800
Training Epoch: 16 [3072/46250]	Loss: 0.2565	LR: 0.000800
Training Epoch: 16 [3328/46250]	Loss: 0.3421	LR: 0.000800
Training Epoch: 16 [3584/46250]	Loss: 0.1892	LR: 0.000800
Training Epoch: 16 [3840/46250]	Loss: 0.2479	LR: 0.000800
Training Epoch: 16 [4096/46250]	Loss: 0.2936	LR: 0.000800
Training Epoch: 16 [4352/46250]	Loss: 0.2652	LR: 0.000800
Training Epoch: 16 [4608/46250]	Loss: 0.2595	LR: 0.000800
Training Epoch: 16 [4864/46250]	Loss: 0.2621	LR: 0.000800
Training Epoch: 16 [5120/46250]	Loss: 0.3818	LR: 0.000800
Training Epoch: 16 [5376/46250]	Loss: 0.2526	LR: 0.000800
Training Epoch: 16 [5632/46250]	Loss: 0.2357	LR: 0.000800
Training Epoch: 16 [5888/46250]	Loss: 0.2421	LR: 0.000800
Training Epoch: 16 [6144/46250]	Loss: 0.2917	LR: 0.000800
Training Epoch: 16 [6400/46250]	Loss: 0.2564	LR: 0.000800
Training Epoch: 16 [6656/46250]	Loss: 0.2765	LR: 0.000800
Training Epoch: 16 [6912/46250]	Loss: 0.2949	LR: 0.000800
Training Epoch: 16 [7168/46250]	Loss: 0.2997	LR: 0.000800
Training Epoch: 16 [7424/46250]	Loss: 0.2512	LR: 0.000800
Training Epoch: 16 [7680/46250]	Loss: 0.3274	LR: 0.000800
Training Epoch: 16 [7936/46250]	Loss: 0.2479	LR: 0.000800
Training Epoch: 16 [8192/46250]	Loss: 0.2782	LR: 0.000800
Training Epoch: 16 [8448/46250]	Loss: 0.2877	LR: 0.000800
Training Epoch: 16 [8704/46250]	Loss: 0.2918	LR: 0.000800
Training Epoch: 16 [8960/46250]	Loss: 0.3477	LR: 0.000800
Training Epoch: 16 [9216/46250]	Loss: 0.2299	LR: 0.000800
Training Epoch: 16 [9472/46250]	Loss: 0.3098	LR: 0.000800
Training Epoch: 16 [9728/46250]	Loss: 0.3029	LR: 0.000800
Training Epoch: 16 [9984/46250]	Loss: 0.2781	LR: 0.000800
Training Epoch: 16 [10240/46250]	Loss: 0.2825	LR: 0.000800
Training Epoch: 16 [10496/46250]	Loss: 0.2792	LR: 0.000800
Training Epoch: 16 [10752/46250]	Loss: 0.2276	LR: 0.000800
Training Epoch: 16 [11008/46250]	Loss: 0.2384	LR: 0.000800
Training Epoch: 16 [11264/46250]	Loss: 0.2544	LR: 0.000800
Training Epoch: 16 [11520/46250]	Loss: 0.2814	LR: 0.000800
Training Epoch: 16 [11776/46250]	Loss: 0.2732	LR: 0.000800
Training Epoch: 16 [12032/46250]	Loss: 0.3377	LR: 0.000800
Training Epoch: 16 [12288/46250]	Loss: 0.2759	LR: 0.000800
Training Epoch: 16 [12544/46250]	Loss: 0.3009	LR: 0.000800
Training Epoch: 16 [12800/46250]	Loss: 0.2265	LR: 0.000800
Training Epoch: 16 [13056/46250]	Loss: 0.2440	LR: 0.000800
Training Epoch: 16 [13312/46250]	Loss: 0.2224	LR: 0.000800
Training Epoch: 16 [13568/46250]	Loss: 0.2171	LR: 0.000800
Training Epoch: 16 [13824/46250]	Loss: 0.3138	LR: 0.000800
Training Epoch: 16 [14080/46250]	Loss: 0.3386	LR: 0.000800
Training Epoch: 16 [14336/46250]	Loss: 0.2265	LR: 0.000800
Training Epoch: 16 [14592/46250]	Loss: 0.2558	LR: 0.000800
Training Epoch: 16 [14848/46250]	Loss: 0.2866	LR: 0.000800
Training Epoch: 16 [15104/46250]	Loss: 0.3157	LR: 0.000800
Training Epoch: 16 [15360/46250]	Loss: 0.3456	LR: 0.000800
Training Epoch: 16 [15616/46250]	Loss: 0.3354	LR: 0.000800
Training Epoch: 16 [15872/46250]	Loss: 0.2209	LR: 0.000800
Training Epoch: 16 [16128/46250]	Loss: 0.2443	LR: 0.000800
Training Epoch: 16 [16384/46250]	Loss: 0.2164	LR: 0.000800
Training Epoch: 16 [16640/46250]	Loss: 0.2356	LR: 0.000800
Training Epoch: 16 [16896/46250]	Loss: 0.2698	LR: 0.000800
Training Epoch: 16 [17152/46250]	Loss: 0.2911	LR: 0.000800
Training Epoch: 16 [17408/46250]	Loss: 0.2882	LR: 0.000800
Training Epoch: 16 [17664/46250]	Loss: 0.2485	LR: 0.000800
Training Epoch: 16 [17920/46250]	Loss: 0.2490	LR: 0.000800
Training Epoch: 16 [18176/46250]	Loss: 0.2172	LR: 0.000800
Training Epoch: 16 [18432/46250]	Loss: 0.2159	LR: 0.000800
Training Epoch: 16 [18688/46250]	Loss: 0.3420	LR: 0.000800
Training Epoch: 16 [18944/46250]	Loss: 0.2016	LR: 0.000800
Training Epoch: 16 [19200/46250]	Loss: 0.2574	LR: 0.000800
Training Epoch: 16 [19456/46250]	Loss: 0.2717	LR: 0.000800
Training Epoch: 16 [19712/46250]	Loss: 0.3605	LR: 0.000800
Training Epoch: 16 [19968/46250]	Loss: 0.2836	LR: 0.000800
Training Epoch: 16 [20224/46250]	Loss: 0.3157	LR: 0.000800
Training Epoch: 16 [20480/46250]	Loss: 0.2689	LR: 0.000800
Training Epoch: 16 [20736/46250]	Loss: 0.3272	LR: 0.000800
Training Epoch: 16 [20992/46250]	Loss: 0.2400	LR: 0.000800
Training Epoch: 16 [21248/46250]	Loss: 0.3035	LR: 0.000800
Training Epoch: 16 [21504/46250]	Loss: 0.2811	LR: 0.000800
Training Epoch: 16 [21760/46250]	Loss: 0.3040	LR: 0.000800
Training Epoch: 16 [22016/46250]	Loss: 0.2836	LR: 0.000800
Training Epoch: 16 [22272/46250]	Loss: 0.3249	LR: 0.000800
Training Epoch: 16 [22528/46250]	Loss: 0.2922	LR: 0.000800
Training Epoch: 16 [22784/46250]	Loss: 0.2859	LR: 0.000800
Training Epoch: 16 [23040/46250]	Loss: 0.3291	LR: 0.000800
Training Epoch: 16 [23296/46250]	Loss: 0.2777	LR: 0.000800
Training Epoch: 16 [23552/46250]	Loss: 0.3609	LR: 0.000800
Training Epoch: 16 [23808/46250]	Loss: 0.2301	LR: 0.000800
Training Epoch: 16 [24064/46250]	Loss: 0.2677	LR: 0.000800
Training Epoch: 16 [24320/46250]	Loss: 0.3497	LR: 0.000800
Training Epoch: 16 [24576/46250]	Loss: 0.2694	LR: 0.000800
Training Epoch: 16 [24832/46250]	Loss: 0.3323	LR: 0.000800
Training Epoch: 16 [25088/46250]	Loss: 0.2291	LR: 0.000800
Training Epoch: 16 [25344/46250]	Loss: 0.2802	LR: 0.000800
Training Epoch: 16 [25600/46250]	Loss: 0.3085	LR: 0.000800
Training Epoch: 16 [25856/46250]	Loss: 0.2466	LR: 0.000800
Training Epoch: 16 [26112/46250]	Loss: 0.2269	LR: 0.000800
Training Epoch: 16 [26368/46250]	Loss: 0.2344	LR: 0.000800
Training Epoch: 16 [26624/46250]	Loss: 0.2885	LR: 0.000800
Training Epoch: 16 [26880/46250]	Loss: 0.3093	LR: 0.000800
Training Epoch: 16 [27136/46250]	Loss: 0.2526	LR: 0.000800
Training Epoch: 16 [27392/46250]	Loss: 0.2543	LR: 0.000800
Training Epoch: 16 [27648/46250]	Loss: 0.2458	LR: 0.000800
Training Epoch: 16 [27904/46250]	Loss: 0.3281	LR: 0.000800
Training Epoch: 16 [28160/46250]	Loss: 0.2649	LR: 0.000800
Training Epoch: 16 [28416/46250]	Loss: 0.2736	LR: 0.000800
Training Epoch: 16 [28672/46250]	Loss: 0.2066	LR: 0.000800
Training Epoch: 16 [28928/46250]	Loss: 0.3652	LR: 0.000800
Training Epoch: 16 [29184/46250]	Loss: 0.2536	LR: 0.000800
Training Epoch: 16 [29440/46250]	Loss: 0.2756	LR: 0.000800
Training Epoch: 16 [29696/46250]	Loss: 0.2049	LR: 0.000800
Training Epoch: 16 [29952/46250]	Loss: 0.2409	LR: 0.000800
Training Epoch: 16 [30208/46250]	Loss: 0.3041	LR: 0.000800
Training Epoch: 16 [30464/46250]	Loss: 0.2721	LR: 0.000800
Training Epoch: 16 [30720/46250]	Loss: 0.2001	LR: 0.000800
Training Epoch: 16 [30976/46250]	Loss: 0.2852	LR: 0.000800
Training Epoch: 16 [31232/46250]	Loss: 0.2414	LR: 0.000800
Training Epoch: 16 [31488/46250]	Loss: 0.2345	LR: 0.000800
Training Epoch: 16 [31744/46250]	Loss: 0.4208	LR: 0.000800
Training Epoch: 16 [32000/46250]	Loss: 0.2618	LR: 0.000800
Training Epoch: 16 [32256/46250]	Loss: 0.3108	LR: 0.000800
Training Epoch: 16 [32512/46250]	Loss: 0.2792	LR: 0.000800
Training Epoch: 16 [32768/46250]	Loss: 0.2654	LR: 0.000800
Training Epoch: 16 [33024/46250]	Loss: 0.2342	LR: 0.000800
Training Epoch: 16 [33280/46250]	Loss: 0.3086	LR: 0.000800
Training Epoch: 16 [33536/46250]	Loss: 0.2969	LR: 0.000800
Training Epoch: 16 [33792/46250]	Loss: 0.2347	LR: 0.000800
Training Epoch: 16 [34048/46250]	Loss: 0.3481	LR: 0.000800
Training Epoch: 16 [34304/46250]	Loss: 0.2821	LR: 0.000800
Training Epoch: 16 [34560/46250]	Loss: 0.2938	LR: 0.000800
Training Epoch: 16 [34816/46250]	Loss: 0.3264	LR: 0.000800
Training Epoch: 16 [35072/46250]	Loss: 0.2977	LR: 0.000800
Training Epoch: 16 [35328/46250]	Loss: 0.2268	LR: 0.000800
Training Epoch: 16 [35584/46250]	Loss: 0.2081	LR: 0.000800
Training Epoch: 16 [35840/46250]	Loss: 0.2425	LR: 0.000800
Training Epoch: 16 [36096/46250]	Loss: 0.2644	LR: 0.000800
Training Epoch: 16 [36352/46250]	Loss: 0.2868	LR: 0.000800
Training Epoch: 16 [36608/46250]	Loss: 0.2931	LR: 0.000800
Training Epoch: 16 [36864/46250]	Loss: 0.2661	LR: 0.000800
Training Epoch: 16 [37120/46250]	Loss: 0.2778	LR: 0.000800
Training Epoch: 16 [37376/46250]	Loss: 0.2343	LR: 0.000800
Training Epoch: 16 [37632/46250]	Loss: 0.2697	LR: 0.000800
Training Epoch: 16 [37888/46250]	Loss: 0.2595	LR: 0.000800
Training Epoch: 16 [38144/46250]	Loss: 0.2833	LR: 0.000800
Training Epoch: 16 [38400/46250]	Loss: 0.4107	LR: 0.000800
Training Epoch: 16 [38656/46250]	Loss: 0.2694	LR: 0.000800
Training Epoch: 16 [38912/46250]	Loss: 0.2711	LR: 0.000800
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Training Epoch: 16 [40192/46250]	Loss: 0.2870	LR: 0.000800
Training Epoch: 16 [40448/46250]	Loss: 0.2447	LR: 0.000800
Training Epoch: 16 [40704/46250]	Loss: 0.3223	LR: 0.000800
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Training Epoch: 16 [41216/46250]	Loss: 0.2495	LR: 0.000800
Training Epoch: 16 [41472/46250]	Loss: 0.2470	LR: 0.000800
Training Epoch: 16 [41728/46250]	Loss: 0.3247	LR: 0.000800
Training Epoch: 16 [41984/46250]	Loss: 0.2812	LR: 0.000800
Training Epoch: 16 [42240/46250]	Loss: 0.2800	LR: 0.000800
Training Epoch: 16 [42496/46250]	Loss: 0.2744	LR: 0.000800
Training Epoch: 16 [42752/46250]	Loss: 0.2085	LR: 0.000800
Training Epoch: 16 [43008/46250]	Loss: 0.3093	LR: 0.000800
Training Epoch: 16 [43264/46250]	Loss: 0.3514	LR: 0.000800
Training Epoch: 16 [43520/46250]	Loss: 0.2793	LR: 0.000800
Training Epoch: 16 [43776/46250]	Loss: 0.2198	LR: 0.000800
Training Epoch: 16 [44032/46250]	Loss: 0.2232	LR: 0.000800
Training Epoch: 16 [44288/46250]	Loss: 0.3189	LR: 0.000800
Training Epoch: 16 [44544/46250]	Loss: 0.3553	LR: 0.000800
Training Epoch: 16 [44800/46250]	Loss: 0.2466	LR: 0.000800
Training Epoch: 16 [45056/46250]	Loss: 0.3036	LR: 0.000800
Training Epoch: 16 [45312/46250]	Loss: 0.2933	LR: 0.000800
Training Epoch: 16 [45568/46250]	Loss: 0.3802	LR: 0.000800
Training Epoch: 16 [45824/46250]	Loss: 0.2763	LR: 0.000800
Training Epoch: 16 [46080/46250]	Loss: 0.3071	LR: 0.000800
Training Epoch: 16 [46250/46250]	Loss: 0.3068	LR: 0.000800
Epoch 16 - Average Train Loss: 0.2788, Train Accuracy: 0.9019
Epoch 16 training time consumed: 28.01s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0014, Accuracy: 0.8856, Time consumed:0.96s
Training Epoch: 17 [256/46250]	Loss: 0.3149	LR: 0.000800
Training Epoch: 17 [512/46250]	Loss: 0.1861	LR: 0.000800
Training Epoch: 17 [768/46250]	Loss: 0.2916	LR: 0.000800
Training Epoch: 17 [1024/46250]	Loss: 0.2524	LR: 0.000800
Training Epoch: 17 [1280/46250]	Loss: 0.2300	LR: 0.000800
Training Epoch: 17 [1536/46250]	Loss: 0.2036	LR: 0.000800
Training Epoch: 17 [1792/46250]	Loss: 0.2109	LR: 0.000800
Training Epoch: 17 [2048/46250]	Loss: 0.3407	LR: 0.000800
Training Epoch: 17 [2304/46250]	Loss: 0.2922	LR: 0.000800
Training Epoch: 17 [2560/46250]	Loss: 0.2152	LR: 0.000800
Training Epoch: 17 [2816/46250]	Loss: 0.2765	LR: 0.000800
Training Epoch: 17 [3072/46250]	Loss: 0.2622	LR: 0.000800
Training Epoch: 17 [3328/46250]	Loss: 0.2858	LR: 0.000800
Training Epoch: 17 [3584/46250]	Loss: 0.2711	LR: 0.000800
Training Epoch: 17 [3840/46250]	Loss: 0.2799	LR: 0.000800
Training Epoch: 17 [4096/46250]	Loss: 0.3465	LR: 0.000800
Training Epoch: 17 [4352/46250]	Loss: 0.2688	LR: 0.000800
Training Epoch: 17 [4608/46250]	Loss: 0.2251	LR: 0.000800
Training Epoch: 17 [4864/46250]	Loss: 0.3133	LR: 0.000800
Training Epoch: 17 [5120/46250]	Loss: 0.2448	LR: 0.000800
Training Epoch: 17 [5376/46250]	Loss: 0.3029	LR: 0.000800
Training Epoch: 17 [5632/46250]	Loss: 0.2311	LR: 0.000800
Training Epoch: 17 [5888/46250]	Loss: 0.2476	LR: 0.000800
Training Epoch: 17 [6144/46250]	Loss: 0.2841	LR: 0.000800
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Training Epoch: 17 [7168/46250]	Loss: 0.1997	LR: 0.000800
Training Epoch: 17 [7424/46250]	Loss: 0.2671	LR: 0.000800
Training Epoch: 17 [7680/46250]	Loss: 0.2878	LR: 0.000800
Training Epoch: 17 [7936/46250]	Loss: 0.2631	LR: 0.000800
Training Epoch: 17 [8192/46250]	Loss: 0.2806	LR: 0.000800
Training Epoch: 17 [8448/46250]	Loss: 0.2723	LR: 0.000800
Training Epoch: 17 [8704/46250]	Loss: 0.2364	LR: 0.000800
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Training Epoch: 17 [9216/46250]	Loss: 0.3090	LR: 0.000800
Training Epoch: 17 [9472/46250]	Loss: 0.2719	LR: 0.000800
Training Epoch: 17 [9728/46250]	Loss: 0.2121	LR: 0.000800
Training Epoch: 17 [9984/46250]	Loss: 0.4006	LR: 0.000800
Training Epoch: 17 [10240/46250]	Loss: 0.3049	LR: 0.000800
Training Epoch: 17 [10496/46250]	Loss: 0.2748	LR: 0.000800
Training Epoch: 17 [10752/46250]	Loss: 0.3289	LR: 0.000800
Training Epoch: 17 [11008/46250]	Loss: 0.3499	LR: 0.000800
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Training Epoch: 17 [12032/46250]	Loss: 0.3306	LR: 0.000800
Training Epoch: 17 [12288/46250]	Loss: 0.2003	LR: 0.000800
Training Epoch: 17 [12544/46250]	Loss: 0.3028	LR: 0.000800
Training Epoch: 17 [12800/46250]	Loss: 0.3230	LR: 0.000800
Training Epoch: 17 [13056/46250]	Loss: 0.3094	LR: 0.000800
Training Epoch: 17 [13312/46250]	Loss: 0.2822	LR: 0.000800
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Training Epoch: 17 [16896/46250]	Loss: 0.2809	LR: 0.000800
Training Epoch: 17 [17152/46250]	Loss: 0.2851	LR: 0.000800
Training Epoch: 17 [17408/46250]	Loss: 0.3166	LR: 0.000800
Training Epoch: 17 [17664/46250]	Loss: 0.2971	LR: 0.000800
Training Epoch: 17 [17920/46250]	Loss: 0.2428	LR: 0.000800
Training Epoch: 17 [18176/46250]	Loss: 0.2553	LR: 0.000800
Training Epoch: 17 [18432/46250]	Loss: 0.3566	LR: 0.000800
Training Epoch: 17 [18688/46250]	Loss: 0.2486	LR: 0.000800
Training Epoch: 17 [18944/46250]	Loss: 0.3201	LR: 0.000800
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Training Epoch: 17 [23040/46250]	Loss: 0.3466	LR: 0.000800
Training Epoch: 17 [23296/46250]	Loss: 0.3293	LR: 0.000800
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Training Epoch: 17 [30208/46250]	Loss: 0.3316	LR: 0.000800
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Training Epoch: 17 [40448/46250]	Loss: 0.2126	LR: 0.000800
Training Epoch: 17 [40704/46250]	Loss: 0.2570	LR: 0.000800
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Training Epoch: 17 [41984/46250]	Loss: 0.3483	LR: 0.000800
Training Epoch: 17 [42240/46250]	Loss: 0.3040	LR: 0.000800
Training Epoch: 17 [42496/46250]	Loss: 0.2511	LR: 0.000800
Training Epoch: 17 [42752/46250]	Loss: 0.2588	LR: 0.000800
Training Epoch: 17 [43008/46250]	Loss: 0.3014	LR: 0.000800
Training Epoch: 17 [43264/46250]	Loss: 0.3039	LR: 0.000800
Training Epoch: 17 [43520/46250]	Loss: 0.2339	LR: 0.000800
Training Epoch: 17 [43776/46250]	Loss: 0.3189	LR: 0.000800
Training Epoch: 17 [44032/46250]	Loss: 0.2519	LR: 0.000800
Training Epoch: 17 [44288/46250]	Loss: 0.2622	LR: 0.000800
Training Epoch: 17 [44544/46250]	Loss: 0.2801	LR: 0.000800
Training Epoch: 17 [44800/46250]	Loss: 0.2530	LR: 0.000800
Training Epoch: 17 [45056/46250]	Loss: 0.3495	LR: 0.000800
Training Epoch: 17 [45312/46250]	Loss: 0.2647	LR: 0.000800
Training Epoch: 17 [45568/46250]	Loss: 0.2336	LR: 0.000800
Training Epoch: 17 [45824/46250]	Loss: 0.2994	LR: 0.000800
Training Epoch: 17 [46080/46250]	Loss: 0.2756	LR: 0.000800
Training Epoch: 17 [46250/46250]	Loss: 0.3740	LR: 0.000800
Epoch 17 - Average Train Loss: 0.2777, Train Accuracy: 0.9042
Epoch 17 training time consumed: 27.91s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0013, Accuracy: 0.8882, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_09h_43m_51s/ResNet18-Cifar10-seed9-ret25-17-best.pth
Training Epoch: 18 [256/46250]	Loss: 0.2726	LR: 0.000800
Training Epoch: 18 [512/46250]	Loss: 0.2362	LR: 0.000800
Training Epoch: 18 [768/46250]	Loss: 0.2719	LR: 0.000800
Training Epoch: 18 [1024/46250]	Loss: 0.3095	LR: 0.000800
Training Epoch: 18 [1280/46250]	Loss: 0.2867	LR: 0.000800
Training Epoch: 18 [1536/46250]	Loss: 0.2766	LR: 0.000800
Training Epoch: 18 [1792/46250]	Loss: 0.3229	LR: 0.000800
Training Epoch: 18 [2048/46250]	Loss: 0.2775	LR: 0.000800
Training Epoch: 18 [2304/46250]	Loss: 0.2368	LR: 0.000800
Training Epoch: 18 [2560/46250]	Loss: 0.2544	LR: 0.000800
Training Epoch: 18 [2816/46250]	Loss: 0.2838	LR: 0.000800
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Training Epoch: 18 [3584/46250]	Loss: 0.2906	LR: 0.000800
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Training Epoch: 18 [4096/46250]	Loss: 0.2378	LR: 0.000800
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Training Epoch: 18 [4608/46250]	Loss: 0.1953	LR: 0.000800
Training Epoch: 18 [4864/46250]	Loss: 0.2243	LR: 0.000800
Training Epoch: 18 [5120/46250]	Loss: 0.2919	LR: 0.000800
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Training Epoch: 18 [5632/46250]	Loss: 0.2630	LR: 0.000800
Training Epoch: 18 [5888/46250]	Loss: 0.2803	LR: 0.000800
Training Epoch: 18 [6144/46250]	Loss: 0.3587	LR: 0.000800
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Training Epoch: 18 [16128/46250]	Loss: 0.3158	LR: 0.000800
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Training Epoch: 18 [16896/46250]	Loss: 0.3086	LR: 0.000800
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Training Epoch: 18 [18432/46250]	Loss: 0.2386	LR: 0.000800
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Training Epoch: 18 [40448/46250]	Loss: 0.3252	LR: 0.000800
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Training Epoch: 18 [43520/46250]	Loss: 0.2194	LR: 0.000800
Training Epoch: 18 [43776/46250]	Loss: 0.1998	LR: 0.000800
Training Epoch: 18 [44032/46250]	Loss: 0.2297	LR: 0.000800
Training Epoch: 18 [44288/46250]	Loss: 0.2464	LR: 0.000800
Training Epoch: 18 [44544/46250]	Loss: 0.2587	LR: 0.000800
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Training Epoch: 18 [45056/46250]	Loss: 0.2060	LR: 0.000800
Training Epoch: 18 [45312/46250]	Loss: 0.2671	LR: 0.000800
Training Epoch: 18 [45568/46250]	Loss: 0.3681	LR: 0.000800
Training Epoch: 18 [45824/46250]	Loss: 0.2906	LR: 0.000800
Training Epoch: 18 [46080/46250]	Loss: 0.2058	LR: 0.000800
Training Epoch: 18 [46250/46250]	Loss: 0.2729	LR: 0.000800
Epoch 18 - Average Train Loss: 0.2734, Train Accuracy: 0.9036
Epoch 18 training time consumed: 27.70s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0013, Accuracy: 0.8885, Time consumed:0.98s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_09h_43m_51s/ResNet18-Cifar10-seed9-ret25-18-best.pth
Training Epoch: 19 [256/46250]	Loss: 0.2517	LR: 0.000800
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Training Epoch: 19 [1536/46250]	Loss: 0.2230	LR: 0.000800
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Training Epoch: 19 [3072/46250]	Loss: 0.2841	LR: 0.000800
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Training Epoch: 19 [24576/46250]	Loss: 0.3454	LR: 0.000800
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Training Epoch: 19 [45312/46250]	Loss: 0.3251	LR: 0.000800
Training Epoch: 19 [45568/46250]	Loss: 0.3025	LR: 0.000800
Training Epoch: 19 [45824/46250]	Loss: 0.3751	LR: 0.000800
Training Epoch: 19 [46080/46250]	Loss: 0.2966	LR: 0.000800
Training Epoch: 19 [46250/46250]	Loss: 0.2487	LR: 0.000800
Epoch 19 - Average Train Loss: 0.2715, Train Accuracy: 0.9049
Epoch 19 training time consumed: 27.87s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0013, Accuracy: 0.8873, Time consumed:0.92s
Training Epoch: 20 [256/46250]	Loss: 0.2923	LR: 0.000800
Training Epoch: 20 [512/46250]	Loss: 0.3051	LR: 0.000800
Training Epoch: 20 [768/46250]	Loss: 0.2942	LR: 0.000800
Training Epoch: 20 [1024/46250]	Loss: 0.3149	LR: 0.000800
Training Epoch: 20 [1280/46250]	Loss: 0.3205	LR: 0.000800
Training Epoch: 20 [1536/46250]	Loss: 0.2614	LR: 0.000800
Training Epoch: 20 [1792/46250]	Loss: 0.2508	LR: 0.000800
Training Epoch: 20 [2048/46250]	Loss: 0.3084	LR: 0.000800
Training Epoch: 20 [2304/46250]	Loss: 0.2909	LR: 0.000800
Training Epoch: 20 [2560/46250]	Loss: 0.2487	LR: 0.000800
Training Epoch: 20 [2816/46250]	Loss: 0.2309	LR: 0.000800
Training Epoch: 20 [3072/46250]	Loss: 0.2195	LR: 0.000800
Training Epoch: 20 [3328/46250]	Loss: 0.3237	LR: 0.000800
Training Epoch: 20 [3584/46250]	Loss: 0.2443	LR: 0.000800
Training Epoch: 20 [3840/46250]	Loss: 0.2218	LR: 0.000800
Training Epoch: 20 [4096/46250]	Loss: 0.2548	LR: 0.000800
Training Epoch: 20 [4352/46250]	Loss: 0.3120	LR: 0.000800
Training Epoch: 20 [4608/46250]	Loss: 0.2248	LR: 0.000800
Training Epoch: 20 [4864/46250]	Loss: 0.2945	LR: 0.000800
Training Epoch: 20 [5120/46250]	Loss: 0.2871	LR: 0.000800
Training Epoch: 20 [5376/46250]	Loss: 0.3160	LR: 0.000800
Training Epoch: 20 [5632/46250]	Loss: 0.2582	LR: 0.000800
Training Epoch: 20 [5888/46250]	Loss: 0.2643	LR: 0.000800
Training Epoch: 20 [6144/46250]	Loss: 0.2223	LR: 0.000800
Training Epoch: 20 [6400/46250]	Loss: 0.2687	LR: 0.000800
Training Epoch: 20 [6656/46250]	Loss: 0.2206	LR: 0.000800
Training Epoch: 20 [6912/46250]	Loss: 0.3039	LR: 0.000800
Training Epoch: 20 [7168/46250]	Loss: 0.2963	LR: 0.000800
Training Epoch: 20 [7424/46250]	Loss: 0.2845	LR: 0.000800
Training Epoch: 20 [7680/46250]	Loss: 0.2575	LR: 0.000800
Training Epoch: 20 [7936/46250]	Loss: 0.2672	LR: 0.000800
Training Epoch: 20 [8192/46250]	Loss: 0.2789	LR: 0.000800
Training Epoch: 20 [8448/46250]	Loss: 0.2520	LR: 0.000800
Training Epoch: 20 [8704/46250]	Loss: 0.2590	LR: 0.000800
Training Epoch: 20 [8960/46250]	Loss: 0.2438	LR: 0.000800
Training Epoch: 20 [9216/46250]	Loss: 0.2996	LR: 0.000800
Training Epoch: 20 [9472/46250]	Loss: 0.3542	LR: 0.000800
Training Epoch: 20 [9728/46250]	Loss: 0.2544	LR: 0.000800
Training Epoch: 20 [9984/46250]	Loss: 0.3097	LR: 0.000800
Training Epoch: 20 [10240/46250]	Loss: 0.3657	LR: 0.000800
Training Epoch: 20 [10496/46250]	Loss: 0.3393	LR: 0.000800
Training Epoch: 20 [10752/46250]	Loss: 0.2995	LR: 0.000800
Training Epoch: 20 [11008/46250]	Loss: 0.3078	LR: 0.000800
Training Epoch: 20 [11264/46250]	Loss: 0.2687	LR: 0.000800
Training Epoch: 20 [11520/46250]	Loss: 0.2475	LR: 0.000800
Training Epoch: 20 [11776/46250]	Loss: 0.2276	LR: 0.000800
Training Epoch: 20 [12032/46250]	Loss: 0.2850	LR: 0.000800
Training Epoch: 20 [12288/46250]	Loss: 0.3063	LR: 0.000800
Training Epoch: 20 [12544/46250]	Loss: 0.2810	LR: 0.000800
Training Epoch: 20 [12800/46250]	Loss: 0.2938	LR: 0.000800
Training Epoch: 20 [13056/46250]	Loss: 0.2674	LR: 0.000800
Training Epoch: 20 [13312/46250]	Loss: 0.2727	LR: 0.000800
Training Epoch: 20 [13568/46250]	Loss: 0.2989	LR: 0.000800
Training Epoch: 20 [13824/46250]	Loss: 0.2227	LR: 0.000800
Training Epoch: 20 [14080/46250]	Loss: 0.2920	LR: 0.000800
Training Epoch: 20 [14336/46250]	Loss: 0.3241	LR: 0.000800
Training Epoch: 20 [14592/46250]	Loss: 0.2904	LR: 0.000800
Training Epoch: 20 [14848/46250]	Loss: 0.2498	LR: 0.000800
Training Epoch: 20 [15104/46250]	Loss: 0.2378	LR: 0.000800
Training Epoch: 20 [15360/46250]	Loss: 0.2653	LR: 0.000800
Training Epoch: 20 [15616/46250]	Loss: 0.3137	LR: 0.000800
Training Epoch: 20 [15872/46250]	Loss: 0.2431	LR: 0.000800
Training Epoch: 20 [16128/46250]	Loss: 0.2354	LR: 0.000800
Training Epoch: 20 [16384/46250]	Loss: 0.2828	LR: 0.000800
Training Epoch: 20 [16640/46250]	Loss: 0.3272	LR: 0.000800
Training Epoch: 20 [16896/46250]	Loss: 0.3594	LR: 0.000800
Training Epoch: 20 [17152/46250]	Loss: 0.2468	LR: 0.000800
Training Epoch: 20 [17408/46250]	Loss: 0.1797	LR: 0.000800
Training Epoch: 20 [17664/46250]	Loss: 0.2072	LR: 0.000800
Training Epoch: 20 [17920/46250]	Loss: 0.2459	LR: 0.000800
Training Epoch: 20 [18176/46250]	Loss: 0.2805	LR: 0.000800
Training Epoch: 20 [18432/46250]	Loss: 0.3330	LR: 0.000800
Training Epoch: 20 [18688/46250]	Loss: 0.2377	LR: 0.000800
Training Epoch: 20 [18944/46250]	Loss: 0.2746	LR: 0.000800
Training Epoch: 20 [19200/46250]	Loss: 0.2070	LR: 0.000800
Training Epoch: 20 [19456/46250]	Loss: 0.2955	LR: 0.000800
Training Epoch: 20 [19712/46250]	Loss: 0.3476	LR: 0.000800
Training Epoch: 20 [19968/46250]	Loss: 0.2794	LR: 0.000800
Training Epoch: 20 [20224/46250]	Loss: 0.2407	LR: 0.000800
Training Epoch: 20 [20480/46250]	Loss: 0.1661	LR: 0.000800
Training Epoch: 20 [20736/46250]	Loss: 0.2159	LR: 0.000800
Training Epoch: 20 [20992/46250]	Loss: 0.2395	LR: 0.000800
Training Epoch: 20 [21248/46250]	Loss: 0.1965	LR: 0.000800
Training Epoch: 20 [21504/46250]	Loss: 0.3181	LR: 0.000800
Training Epoch: 20 [21760/46250]	Loss: 0.3270	LR: 0.000800
Training Epoch: 20 [22016/46250]	Loss: 0.3287	LR: 0.000800
Training Epoch: 20 [22272/46250]	Loss: 0.2175	LR: 0.000800
Training Epoch: 20 [22528/46250]	Loss: 0.2633	LR: 0.000800
Training Epoch: 20 [22784/46250]	Loss: 0.2796	LR: 0.000800
Training Epoch: 20 [23040/46250]	Loss: 0.3348	LR: 0.000800
Training Epoch: 20 [23296/46250]	Loss: 0.2387	LR: 0.000800
Training Epoch: 20 [23552/46250]	Loss: 0.2836	LR: 0.000800
Training Epoch: 20 [23808/46250]	Loss: 0.2870	LR: 0.000800
Training Epoch: 20 [24064/46250]	Loss: 0.2452	LR: 0.000800
Training Epoch: 20 [24320/46250]	Loss: 0.2340	LR: 0.000800
Training Epoch: 20 [24576/46250]	Loss: 0.2434	LR: 0.000800
Training Epoch: 20 [24832/46250]	Loss: 0.3535	LR: 0.000800
Training Epoch: 20 [25088/46250]	Loss: 0.2963	LR: 0.000800
Training Epoch: 20 [25344/46250]	Loss: 0.2863	LR: 0.000800
Training Epoch: 20 [25600/46250]	Loss: 0.2923	LR: 0.000800
Training Epoch: 20 [25856/46250]	Loss: 0.1982	LR: 0.000800
Training Epoch: 20 [26112/46250]	Loss: 0.2755	LR: 0.000800
Training Epoch: 20 [26368/46250]	Loss: 0.2672	LR: 0.000800
Training Epoch: 20 [26624/46250]	Loss: 0.2971	LR: 0.000800
Training Epoch: 20 [26880/46250]	Loss: 0.2874	LR: 0.000800
Training Epoch: 20 [27136/46250]	Loss: 0.2452	LR: 0.000800
Training Epoch: 20 [27392/46250]	Loss: 0.2751	LR: 0.000800
Training Epoch: 20 [27648/46250]	Loss: 0.2781	LR: 0.000800
Training Epoch: 20 [27904/46250]	Loss: 0.2345	LR: 0.000800
Training Epoch: 20 [28160/46250]	Loss: 0.2552	LR: 0.000800
Training Epoch: 20 [28416/46250]	Loss: 0.2775	LR: 0.000800
Training Epoch: 20 [28672/46250]	Loss: 0.3017	LR: 0.000800
Training Epoch: 20 [28928/46250]	Loss: 0.2234	LR: 0.000800
Training Epoch: 20 [29184/46250]	Loss: 0.2733	LR: 0.000800
Training Epoch: 20 [29440/46250]	Loss: 0.2587	LR: 0.000800
Training Epoch: 20 [29696/46250]	Loss: 0.3132	LR: 0.000800
Training Epoch: 20 [29952/46250]	Loss: 0.3240	LR: 0.000800
Training Epoch: 20 [30208/46250]	Loss: 0.3089	LR: 0.000800
Training Epoch: 20 [30464/46250]	Loss: 0.2764	LR: 0.000800
Training Epoch: 20 [30720/46250]	Loss: 0.3227	LR: 0.000800
Training Epoch: 20 [30976/46250]	Loss: 0.2769	LR: 0.000800
Training Epoch: 20 [31232/46250]	Loss: 0.2922	LR: 0.000800
Training Epoch: 20 [31488/46250]	Loss: 0.3006	LR: 0.000800
Training Epoch: 20 [31744/46250]	Loss: 0.3870	LR: 0.000800
Training Epoch: 20 [32000/46250]	Loss: 0.2480	LR: 0.000800
Training Epoch: 20 [32256/46250]	Loss: 0.2862	LR: 0.000800
Training Epoch: 20 [32512/46250]	Loss: 0.2522	LR: 0.000800
Training Epoch: 20 [32768/46250]	Loss: 0.3429	LR: 0.000800
Training Epoch: 20 [33024/46250]	Loss: 0.2670	LR: 0.000800
Training Epoch: 20 [33280/46250]	Loss: 0.2906	LR: 0.000800
Training Epoch: 20 [33536/46250]	Loss: 0.2225	LR: 0.000800
Training Epoch: 20 [33792/46250]	Loss: 0.2778	LR: 0.000800
Training Epoch: 20 [34048/46250]	Loss: 0.2619	LR: 0.000800
Training Epoch: 20 [34304/46250]	Loss: 0.2741	LR: 0.000800
Training Epoch: 20 [34560/46250]	Loss: 0.2781	LR: 0.000800
Training Epoch: 20 [34816/46250]	Loss: 0.2138	LR: 0.000800
Training Epoch: 20 [35072/46250]	Loss: 0.2859	LR: 0.000800
Training Epoch: 20 [35328/46250]	Loss: 0.3216	LR: 0.000800
Training Epoch: 20 [35584/46250]	Loss: 0.2478	LR: 0.000800
Training Epoch: 20 [35840/46250]	Loss: 0.2902	LR: 0.000800
Training Epoch: 20 [36096/46250]	Loss: 0.2467	LR: 0.000800
Training Epoch: 20 [36352/46250]	Loss: 0.2209	LR: 0.000800
Training Epoch: 20 [36608/46250]	Loss: 0.2749	LR: 0.000800
Training Epoch: 20 [36864/46250]	Loss: 0.2658	LR: 0.000800
Training Epoch: 20 [37120/46250]	Loss: 0.2545	LR: 0.000800
Training Epoch: 20 [37376/46250]	Loss: 0.3356	LR: 0.000800
Training Epoch: 20 [37632/46250]	Loss: 0.2644	LR: 0.000800
Training Epoch: 20 [37888/46250]	Loss: 0.2652	LR: 0.000800
Training Epoch: 20 [38144/46250]	Loss: 0.2069	LR: 0.000800
Training Epoch: 20 [38400/46250]	Loss: 0.2749	LR: 0.000800
Training Epoch: 20 [38656/46250]	Loss: 0.2832	LR: 0.000800
Training Epoch: 20 [38912/46250]	Loss: 0.2647	LR: 0.000800
Training Epoch: 20 [39168/46250]	Loss: 0.2677	LR: 0.000800
Training Epoch: 20 [39424/46250]	Loss: 0.3444	LR: 0.000800
Training Epoch: 20 [39680/46250]	Loss: 0.2389	LR: 0.000800
Training Epoch: 20 [39936/46250]	Loss: 0.3275	LR: 0.000800
Training Epoch: 20 [40192/46250]	Loss: 0.3565	LR: 0.000800
Training Epoch: 20 [40448/46250]	Loss: 0.3094	LR: 0.000800
Training Epoch: 20 [40704/46250]	Loss: 0.2778	LR: 0.000800
Training Epoch: 20 [40960/46250]	Loss: 0.2129	LR: 0.000800
Training Epoch: 20 [41216/46250]	Loss: 0.2828	LR: 0.000800
Training Epoch: 20 [41472/46250]	Loss: 0.2257	LR: 0.000800
Training Epoch: 20 [41728/46250]	Loss: 0.2397	LR: 0.000800
Training Epoch: 20 [41984/46250]	Loss: 0.2099	LR: 0.000800
Training Epoch: 20 [42240/46250]	Loss: 0.2528	LR: 0.000800
Training Epoch: 20 [42496/46250]	Loss: 0.1910	LR: 0.000800
Training Epoch: 20 [42752/46250]	Loss: 0.3106	LR: 0.000800
Training Epoch: 20 [43008/46250]	Loss: 0.2068	LR: 0.000800
Training Epoch: 20 [43264/46250]	Loss: 0.2616	LR: 0.000800
Training Epoch: 20 [43520/46250]	Loss: 0.2642	LR: 0.000800
Training Epoch: 20 [43776/46250]	Loss: 0.2530	LR: 0.000800
Training Epoch: 20 [44032/46250]	Loss: 0.2185	LR: 0.000800
Training Epoch: 20 [44288/46250]	Loss: 0.3076	LR: 0.000800
Training Epoch: 20 [44544/46250]	Loss: 0.2819	LR: 0.000800
Training Epoch: 20 [44800/46250]	Loss: 0.2831	LR: 0.000800
Training Epoch: 20 [45056/46250]	Loss: 0.2323	LR: 0.000800
Training Epoch: 20 [45312/46250]	Loss: 0.2177	LR: 0.000800
Training Epoch: 20 [45568/46250]	Loss: 0.2801	LR: 0.000800
Training Epoch: 20 [45824/46250]	Loss: 0.3211	LR: 0.000800
Training Epoch: 20 [46080/46250]	Loss: 0.2597	LR: 0.000800
Training Epoch: 20 [46250/46250]	Loss: 0.3034	LR: 0.000800
Epoch 20 - Average Train Loss: 0.2731, Train Accuracy: 0.9037
Epoch 20 training time consumed: 27.75s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0013, Accuracy: 0.8881, Time consumed:1.00s
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: 0.7460
Set1 Distribution: 3750 samples
Set2 Distribution: 3750 samples
MIA Attack Accuracy with XGBoost: 0.5033
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
MIA Attack Accuracy with XGBoost: 0.6647
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
MIA Attack Accuracy with XGBoost: 0.5105
Test Accuracy: 91.552734375
Retain Accuracy: 93.90422058105469
Zero-Retain Forget (ZRF): 0.8250877261161804
Membership Inference Attack (MIA): 0.6754666666666667
Forget vs Retain Membership Inference Attack (MIA): 0.746
Forget vs Test Membership Inference Attack (MIA): 0.5033333333333333
Test vs Retain Membership Inference Attack (MIA): 0.66475
Train vs Test Membership Inference Attack (MIA): 0.5105
Forget Set Accuracy (Df): 94.07003784179688
Method Execution Time: 2349.53 seconds
