hello
hello

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

📊 Updated class distribution:
Retain set:
  Class 0: 4625
  Class 1: 4625
  Class 2: 4625
  Class 3: 4625
  Class 4: 4625
  Class 5: 4625
  Class 6: 4625
  Class 7: 4625
  Class 8: 4625
  Class 9: 4625
Forget set:
  Class 0: 375
  Class 1: 375
  Class 2: 375
  Class 3: 375
  Class 4: 375
  Class 5: 375
  Class 6: 375
  Class 7: 375
  Class 8: 375
  Class 9: 375
hello
hello
⚠️ Warning: Retain train loader may not be shuffled.
Training Epoch: 1 [256/46250]	Loss: 2.3394	LR: 0.000000
Training Epoch: 1 [512/46250]	Loss: 2.3999	LR: 0.000552
Training Epoch: 1 [768/46250]	Loss: 2.3832	LR: 0.001105
Training Epoch: 1 [1024/46250]	Loss: 2.3787	LR: 0.001657
Training Epoch: 1 [1280/46250]	Loss: 2.2917	LR: 0.002210
Training Epoch: 1 [1536/46250]	Loss: 2.2638	LR: 0.002762
Training Epoch: 1 [1792/46250]	Loss: 2.2321	LR: 0.003315
Training Epoch: 1 [2048/46250]	Loss: 2.2398	LR: 0.003867
Training Epoch: 1 [2304/46250]	Loss: 2.3051	LR: 0.004420
Training Epoch: 1 [2560/46250]	Loss: 2.2562	LR: 0.004972
Training Epoch: 1 [2816/46250]	Loss: 2.2483	LR: 0.005525
Training Epoch: 1 [3072/46250]	Loss: 2.1588	LR: 0.006077
Training Epoch: 1 [3328/46250]	Loss: 2.1924	LR: 0.006630
Training Epoch: 1 [3584/46250]	Loss: 2.1585	LR: 0.007182
Training Epoch: 1 [3840/46250]	Loss: 2.1037	LR: 0.007735
Training Epoch: 1 [4096/46250]	Loss: 2.0963	LR: 0.008287
Training Epoch: 1 [4352/46250]	Loss: 1.9931	LR: 0.008840
Training Epoch: 1 [4608/46250]	Loss: 2.0150	LR: 0.009392
Training Epoch: 1 [4864/46250]	Loss: 1.9955	LR: 0.009945
Training Epoch: 1 [5120/46250]	Loss: 1.9615	LR: 0.010497
Training Epoch: 1 [5376/46250]	Loss: 1.9438	LR: 0.011050
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Training Epoch: 1 [5888/46250]	Loss: 1.8945	LR: 0.012155
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Training Epoch: 1 [6400/46250]	Loss: 1.9179	LR: 0.013260
Training Epoch: 1 [6656/46250]	Loss: 1.8946	LR: 0.013812
Training Epoch: 1 [6912/46250]	Loss: 1.8369	LR: 0.014365
Training Epoch: 1 [7168/46250]	Loss: 1.9002	LR: 0.014917
Training Epoch: 1 [7424/46250]	Loss: 1.7641	LR: 0.015470
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Training Epoch: 1 [7936/46250]	Loss: 1.7664	LR: 0.016575
Training Epoch: 1 [8192/46250]	Loss: 1.7354	LR: 0.017127
Training Epoch: 1 [8448/46250]	Loss: 1.7197	LR: 0.017680
Training Epoch: 1 [8704/46250]	Loss: 1.8037	LR: 0.018232
Training Epoch: 1 [8960/46250]	Loss: 1.8302	LR: 0.018785
Training Epoch: 1 [9216/46250]	Loss: 1.8491	LR: 0.019337
Training Epoch: 1 [9472/46250]	Loss: 1.7722	LR: 0.019890
Training Epoch: 1 [9728/46250]	Loss: 1.7082	LR: 0.020442
Training Epoch: 1 [9984/46250]	Loss: 1.7733	LR: 0.020994
Training Epoch: 1 [10240/46250]	Loss: 1.7352	LR: 0.021547
Training Epoch: 1 [10496/46250]	Loss: 1.8128	LR: 0.022099
Training Epoch: 1 [10752/46250]	Loss: 1.8366	LR: 0.022652
Training Epoch: 1 [11008/46250]	Loss: 1.6617	LR: 0.023204
Training Epoch: 1 [11264/46250]	Loss: 1.9923	LR: 0.023757
Training Epoch: 1 [11520/46250]	Loss: 1.6860	LR: 0.024309
Training Epoch: 1 [11776/46250]	Loss: 1.7116	LR: 0.024862
Training Epoch: 1 [12032/46250]	Loss: 1.8441	LR: 0.025414
Training Epoch: 1 [12288/46250]	Loss: 1.7155	LR: 0.025967
Training Epoch: 1 [12544/46250]	Loss: 1.6768	LR: 0.026519
Training Epoch: 1 [12800/46250]	Loss: 1.7145	LR: 0.027072
Training Epoch: 1 [13056/46250]	Loss: 1.6669	LR: 0.027624
Training Epoch: 1 [13312/46250]	Loss: 2.0127	LR: 0.028177
Training Epoch: 1 [13568/46250]	Loss: 1.8357	LR: 0.028729
Training Epoch: 1 [13824/46250]	Loss: 1.8039	LR: 0.029282
Training Epoch: 1 [14080/46250]	Loss: 1.9092	LR: 0.029834
Training Epoch: 1 [14336/46250]	Loss: 1.8043	LR: 0.030387
Training Epoch: 1 [14592/46250]	Loss: 1.7977	LR: 0.030939
Training Epoch: 1 [14848/46250]	Loss: 1.7967	LR: 0.031492
Training Epoch: 1 [15104/46250]	Loss: 1.7361	LR: 0.032044
Training Epoch: 1 [15360/46250]	Loss: 1.8304	LR: 0.032597
Training Epoch: 1 [15616/46250]	Loss: 1.6751	LR: 0.033149
Training Epoch: 1 [15872/46250]	Loss: 1.8083	LR: 0.033702
Training Epoch: 1 [16128/46250]	Loss: 1.8490	LR: 0.034254
Training Epoch: 1 [16384/46250]	Loss: 1.8380	LR: 0.034807
Training Epoch: 1 [16640/46250]	Loss: 1.6934	LR: 0.035359
Training Epoch: 1 [16896/46250]	Loss: 1.8876	LR: 0.035912
Training Epoch: 1 [17152/46250]	Loss: 1.8135	LR: 0.036464
Training Epoch: 1 [17408/46250]	Loss: 1.8932	LR: 0.037017
Training Epoch: 1 [17664/46250]	Loss: 1.9406	LR: 0.037569
Training Epoch: 1 [17920/46250]	Loss: 1.7500	LR: 0.038122
Training Epoch: 1 [18176/46250]	Loss: 1.7739	LR: 0.038674
Training Epoch: 1 [18432/46250]	Loss: 2.0435	LR: 0.039227
Training Epoch: 1 [18688/46250]	Loss: 1.8185	LR: 0.039779
Training Epoch: 1 [18944/46250]	Loss: 1.8078	LR: 0.040331
Training Epoch: 1 [19200/46250]	Loss: 1.8504	LR: 0.040884
Training Epoch: 1 [19456/46250]	Loss: 1.6753	LR: 0.041436
Training Epoch: 1 [19712/46250]	Loss: 1.7212	LR: 0.041989
Training Epoch: 1 [19968/46250]	Loss: 1.7184	LR: 0.042541
Training Epoch: 1 [20224/46250]	Loss: 1.7156	LR: 0.043094
Training Epoch: 1 [20480/46250]	Loss: 1.5941	LR: 0.043646
Training Epoch: 1 [20736/46250]	Loss: 1.6352	LR: 0.044199
Training Epoch: 1 [20992/46250]	Loss: 1.6080	LR: 0.044751
Training Epoch: 1 [21248/46250]	Loss: 1.7135	LR: 0.045304
Training Epoch: 1 [21504/46250]	Loss: 1.6238	LR: 0.045856
Training Epoch: 1 [21760/46250]	Loss: 1.7442	LR: 0.046409
Training Epoch: 1 [22016/46250]	Loss: 1.8128	LR: 0.046961
Training Epoch: 1 [22272/46250]	Loss: 1.7293	LR: 0.047514
Training Epoch: 1 [22528/46250]	Loss: 1.8765	LR: 0.048066
Training Epoch: 1 [22784/46250]	Loss: 1.5745	LR: 0.048619
Training Epoch: 1 [23040/46250]	Loss: 1.7782	LR: 0.049171
Training Epoch: 1 [23296/46250]	Loss: 1.5760	LR: 0.049724
Training Epoch: 1 [23552/46250]	Loss: 1.5822	LR: 0.050276
Training Epoch: 1 [23808/46250]	Loss: 1.7441	LR: 0.050829
Training Epoch: 1 [24064/46250]	Loss: 1.6458	LR: 0.051381
Training Epoch: 1 [24320/46250]	Loss: 1.7571	LR: 0.051934
Training Epoch: 1 [24576/46250]	Loss: 1.5916	LR: 0.052486
Training Epoch: 1 [24832/46250]	Loss: 1.8197	LR: 0.053039
Training Epoch: 1 [25088/46250]	Loss: 1.6180	LR: 0.053591
Training Epoch: 1 [25344/46250]	Loss: 1.6422	LR: 0.054144
Training Epoch: 1 [25600/46250]	Loss: 1.7718	LR: 0.054696
Training Epoch: 1 [25856/46250]	Loss: 1.4606	LR: 0.055249
Training Epoch: 1 [26112/46250]	Loss: 1.7182	LR: 0.055801
Training Epoch: 1 [26368/46250]	Loss: 1.7414	LR: 0.056354
Training Epoch: 1 [26624/46250]	Loss: 1.6372	LR: 0.056906
Training Epoch: 1 [26880/46250]	Loss: 1.5926	LR: 0.057459
Training Epoch: 1 [27136/46250]	Loss: 1.6869	LR: 0.058011
Training Epoch: 1 [27392/46250]	Loss: 1.5297	LR: 0.058564
Training Epoch: 1 [27648/46250]	Loss: 1.7005	LR: 0.059116
Training Epoch: 1 [27904/46250]	Loss: 1.6856	LR: 0.059669
Training Epoch: 1 [28160/46250]	Loss: 1.7472	LR: 0.060221
Training Epoch: 1 [28416/46250]	Loss: 1.5677	LR: 0.060773
Training Epoch: 1 [28672/46250]	Loss: 1.6438	LR: 0.061326
Training Epoch: 1 [28928/46250]	Loss: 1.6077	LR: 0.061878
Training Epoch: 1 [29184/46250]	Loss: 1.7273	LR: 0.062431
Training Epoch: 1 [29440/46250]	Loss: 1.5519	LR: 0.062983
Training Epoch: 1 [29696/46250]	Loss: 1.6582	LR: 0.063536
Training Epoch: 1 [29952/46250]	Loss: 1.6944	LR: 0.064088
Training Epoch: 1 [30208/46250]	Loss: 1.7739	LR: 0.064641
Training Epoch: 1 [30464/46250]	Loss: 1.6455	LR: 0.065193
Training Epoch: 1 [30720/46250]	Loss: 1.6885	LR: 0.065746
Training Epoch: 1 [30976/46250]	Loss: 1.6997	LR: 0.066298
Training Epoch: 1 [31232/46250]	Loss: 1.7171	LR: 0.066851
Training Epoch: 1 [31488/46250]	Loss: 1.5710	LR: 0.067403
Training Epoch: 1 [31744/46250]	Loss: 1.5946	LR: 0.067956
Training Epoch: 1 [32000/46250]	Loss: 1.5438	LR: 0.068508
Training Epoch: 1 [32256/46250]	Loss: 1.5459	LR: 0.069061
Training Epoch: 1 [32512/46250]	Loss: 1.5409	LR: 0.069613
Training Epoch: 1 [32768/46250]	Loss: 1.5309	LR: 0.070166
Training Epoch: 1 [33024/46250]	Loss: 1.5574	LR: 0.070718
Training Epoch: 1 [33280/46250]	Loss: 1.6509	LR: 0.071271
Training Epoch: 1 [33536/46250]	Loss: 1.4612	LR: 0.071823
Training Epoch: 1 [33792/46250]	Loss: 1.6573	LR: 0.072376
Training Epoch: 1 [34048/46250]	Loss: 1.6796	LR: 0.072928
Training Epoch: 1 [34304/46250]	Loss: 1.4053	LR: 0.073481
Training Epoch: 1 [34560/46250]	Loss: 1.7214	LR: 0.074033
Training Epoch: 1 [34816/46250]	Loss: 1.4900	LR: 0.074586
Training Epoch: 1 [35072/46250]	Loss: 1.5899	LR: 0.075138
Training Epoch: 1 [35328/46250]	Loss: 1.4979	LR: 0.075691
Training Epoch: 1 [35584/46250]	Loss: 1.4880	LR: 0.076243
Training Epoch: 1 [35840/46250]	Loss: 1.7187	LR: 0.076796
Training Epoch: 1 [36096/46250]	Loss: 1.4660	LR: 0.077348
Training Epoch: 1 [36352/46250]	Loss: 1.7932	LR: 0.077901
Training Epoch: 1 [36608/46250]	Loss: 1.6708	LR: 0.078453
Training Epoch: 1 [36864/46250]	Loss: 1.5285	LR: 0.079006
Training Epoch: 1 [37120/46250]	Loss: 1.6108	LR: 0.079558
Training Epoch: 1 [37376/46250]	Loss: 1.5158	LR: 0.080110
Training Epoch: 1 [37632/46250]	Loss: 1.6159	LR: 0.080663
Training Epoch: 1 [37888/46250]	Loss: 1.4082	LR: 0.081215
Training Epoch: 1 [38144/46250]	Loss: 1.5317	LR: 0.081768
Training Epoch: 1 [38400/46250]	Loss: 1.5757	LR: 0.082320
Training Epoch: 1 [38656/46250]	Loss: 1.6082	LR: 0.082873
Training Epoch: 1 [38912/46250]	Loss: 1.5310	LR: 0.083425
Training Epoch: 1 [39168/46250]	Loss: 1.4808	LR: 0.083978
Training Epoch: 1 [39424/46250]	Loss: 1.5188	LR: 0.084530
Training Epoch: 1 [39680/46250]	Loss: 1.4489	LR: 0.085083
Training Epoch: 1 [39936/46250]	Loss: 1.4837	LR: 0.085635
Training Epoch: 1 [40192/46250]	Loss: 1.5629	LR: 0.086188
Training Epoch: 1 [40448/46250]	Loss: 1.5555	LR: 0.086740
Training Epoch: 1 [40704/46250]	Loss: 1.5108	LR: 0.087293
Training Epoch: 1 [40960/46250]	Loss: 1.3821	LR: 0.087845
Training Epoch: 1 [41216/46250]	Loss: 1.4714	LR: 0.088398
Training Epoch: 1 [41472/46250]	Loss: 1.5022	LR: 0.088950
Training Epoch: 1 [41728/46250]	Loss: 1.4050	LR: 0.089503
Training Epoch: 1 [41984/46250]	Loss: 1.5040	LR: 0.090055
Training Epoch: 1 [42240/46250]	Loss: 1.7084	LR: 0.090608
Training Epoch: 1 [42496/46250]	Loss: 1.4459	LR: 0.091160
Training Epoch: 1 [42752/46250]	Loss: 1.4995	LR: 0.091713
Training Epoch: 1 [43008/46250]	Loss: 1.4938	LR: 0.092265
Training Epoch: 1 [43264/46250]	Loss: 1.4826	LR: 0.092818
Training Epoch: 1 [43520/46250]	Loss: 1.5056	LR: 0.093370
Training Epoch: 1 [43776/46250]	Loss: 1.4298	LR: 0.093923
Training Epoch: 1 [44032/46250]	Loss: 1.4046	LR: 0.094475
Training Epoch: 1 [44288/46250]	Loss: 1.4523	LR: 0.095028
Training Epoch: 1 [44544/46250]	Loss: 1.4564	LR: 0.095580
Training Epoch: 1 [44800/46250]	Loss: 1.6095	LR: 0.096133
Training Epoch: 1 [45056/46250]	Loss: 1.4967	LR: 0.096685
Training Epoch: 1 [45312/46250]	Loss: 1.3826	LR: 0.097238
Training Epoch: 1 [45568/46250]	Loss: 1.4523	LR: 0.097790
Training Epoch: 1 [45824/46250]	Loss: 1.4911	LR: 0.098343
Training Epoch: 1 [46080/46250]	Loss: 1.3873	LR: 0.098895
Training Epoch: 1 [46250/46250]	Loss: 1.2996	LR: 0.099448
Epoch 1 - Average Train Loss: 1.7269, Train Accuracy: 0.3710
Epoch 1 training time consumed: 41.06s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0061, Accuracy: 0.4927, Time consumed:2.19s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_13h_15m_54s/ResNet18-Cifar10-seed1-ret25-1-best.pth
Training Epoch: 2 [256/46250]	Loss: 1.3128	LR: 0.100000
Training Epoch: 2 [512/46250]	Loss: 1.3400	LR: 0.100000
Training Epoch: 2 [768/46250]	Loss: 1.3407	LR: 0.100000
Training Epoch: 2 [1024/46250]	Loss: 1.3690	LR: 0.100000
Training Epoch: 2 [1280/46250]	Loss: 1.5387	LR: 0.100000
Training Epoch: 2 [1536/46250]	Loss: 1.2499	LR: 0.100000
Training Epoch: 2 [1792/46250]	Loss: 1.4423	LR: 0.100000
Training Epoch: 2 [2048/46250]	Loss: 1.2489	LR: 0.100000
Training Epoch: 2 [2304/46250]	Loss: 1.3379	LR: 0.100000
Training Epoch: 2 [2560/46250]	Loss: 1.3682	LR: 0.100000
Training Epoch: 2 [2816/46250]	Loss: 1.4457	LR: 0.100000
Training Epoch: 2 [3072/46250]	Loss: 1.4116	LR: 0.100000
Training Epoch: 2 [3328/46250]	Loss: 1.3782	LR: 0.100000
Training Epoch: 2 [3584/46250]	Loss: 1.6221	LR: 0.100000
Training Epoch: 2 [3840/46250]	Loss: 1.4343	LR: 0.100000
Training Epoch: 2 [4096/46250]	Loss: 1.4925	LR: 0.100000
Training Epoch: 2 [4352/46250]	Loss: 1.3835	LR: 0.100000
Training Epoch: 2 [4608/46250]	Loss: 1.2825	LR: 0.100000
Training Epoch: 2 [4864/46250]	Loss: 1.3704	LR: 0.100000
Training Epoch: 2 [5120/46250]	Loss: 1.3609	LR: 0.100000
Training Epoch: 2 [5376/46250]	Loss: 1.2288	LR: 0.100000
Training Epoch: 2 [5632/46250]	Loss: 1.2120	LR: 0.100000
Training Epoch: 2 [5888/46250]	Loss: 1.2685	LR: 0.100000
Training Epoch: 2 [6144/46250]	Loss: 1.3256	LR: 0.100000
Training Epoch: 2 [6400/46250]	Loss: 1.2594	LR: 0.100000
Training Epoch: 2 [6656/46250]	Loss: 1.3214	LR: 0.100000
Training Epoch: 2 [6912/46250]	Loss: 1.4642	LR: 0.100000
Training Epoch: 2 [7168/46250]	Loss: 1.3645	LR: 0.100000
Training Epoch: 2 [7424/46250]	Loss: 1.2253	LR: 0.100000
Training Epoch: 2 [7680/46250]	Loss: 1.3829	LR: 0.100000
Training Epoch: 2 [7936/46250]	Loss: 1.2907	LR: 0.100000
Training Epoch: 2 [8192/46250]	Loss: 1.2993	LR: 0.100000
Training Epoch: 2 [8448/46250]	Loss: 1.1789	LR: 0.100000
Training Epoch: 2 [8704/46250]	Loss: 1.3339	LR: 0.100000
Training Epoch: 2 [8960/46250]	Loss: 1.3556	LR: 0.100000
Training Epoch: 2 [9216/46250]	Loss: 1.3833	LR: 0.100000
Training Epoch: 2 [9472/46250]	Loss: 1.4295	LR: 0.100000
Training Epoch: 2 [9728/46250]	Loss: 1.3205	LR: 0.100000
Training Epoch: 2 [9984/46250]	Loss: 1.3109	LR: 0.100000
Training Epoch: 2 [10240/46250]	Loss: 1.4897	LR: 0.100000
Training Epoch: 2 [10496/46250]	Loss: 1.4461	LR: 0.100000
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Training Epoch: 2 [11776/46250]	Loss: 1.3270	LR: 0.100000
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Training Epoch: 2 [12800/46250]	Loss: 1.2297	LR: 0.100000
Training Epoch: 2 [13056/46250]	Loss: 1.4072	LR: 0.100000
Training Epoch: 2 [13312/46250]	Loss: 1.3707	LR: 0.100000
Training Epoch: 2 [13568/46250]	Loss: 1.3475	LR: 0.100000
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Training Epoch: 2 [14080/46250]	Loss: 1.4574	LR: 0.100000
Training Epoch: 2 [14336/46250]	Loss: 1.3542	LR: 0.100000
Training Epoch: 2 [14592/46250]	Loss: 1.3996	LR: 0.100000
Training Epoch: 2 [14848/46250]	Loss: 1.5129	LR: 0.100000
Training Epoch: 2 [15104/46250]	Loss: 1.5674	LR: 0.100000
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Training Epoch: 2 [16896/46250]	Loss: 1.3577	LR: 0.100000
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Training Epoch: 2 [18176/46250]	Loss: 1.4530	LR: 0.100000
Training Epoch: 2 [18432/46250]	Loss: 1.2692	LR: 0.100000
Training Epoch: 2 [18688/46250]	Loss: 1.3056	LR: 0.100000
Training Epoch: 2 [18944/46250]	Loss: 1.3532	LR: 0.100000
Training Epoch: 2 [19200/46250]	Loss: 1.2395	LR: 0.100000
Training Epoch: 2 [19456/46250]	Loss: 1.3517	LR: 0.100000
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Training Epoch: 2 [19968/46250]	Loss: 1.2331	LR: 0.100000
Training Epoch: 2 [20224/46250]	Loss: 1.1973	LR: 0.100000
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Training Epoch: 2 [20992/46250]	Loss: 1.2649	LR: 0.100000
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Training Epoch: 2 [22272/46250]	Loss: 1.2158	LR: 0.100000
Training Epoch: 2 [22528/46250]	Loss: 1.2407	LR: 0.100000
Training Epoch: 2 [22784/46250]	Loss: 1.1859	LR: 0.100000
Training Epoch: 2 [23040/46250]	Loss: 1.2126	LR: 0.100000
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Training Epoch: 2 [23808/46250]	Loss: 1.1344	LR: 0.100000
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Training Epoch: 2 [46080/46250]	Loss: 0.9709	LR: 0.100000
Training Epoch: 2 [46250/46250]	Loss: 1.0892	LR: 0.100000
Epoch 2 - Average Train Loss: 1.2259, Train Accuracy: 0.5621
Epoch 2 training time consumed: 39.39s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0050, Accuracy: 0.5987, Time consumed:1.30s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_13h_15m_54s/ResNet18-Cifar10-seed1-ret25-2-best.pth
Training Epoch: 3 [256/46250]	Loss: 1.1385	LR: 0.100000
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Training Epoch: 3 [46250/46250]	Loss: 1.0642	LR: 0.100000
Epoch 3 - Average Train Loss: 0.9609, Train Accuracy: 0.6583
Epoch 3 training time consumed: 39.44s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0036, Accuracy: 0.6850, Time consumed:1.32s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_13h_15m_54s/ResNet18-Cifar10-seed1-ret25-3-best.pth
Training Epoch: 4 [256/46250]	Loss: 0.7352	LR: 0.100000
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Training Epoch: 4 [46250/46250]	Loss: 0.7522	LR: 0.100000
Epoch 4 - Average Train Loss: 0.8049, Train Accuracy: 0.7196
Epoch 4 training time consumed: 39.44s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0037, Accuracy: 0.7029, Time consumed:1.32s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_13h_15m_54s/ResNet18-Cifar10-seed1-ret25-4-best.pth
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Training Epoch: 5 [46250/46250]	Loss: 0.7439	LR: 0.100000
Epoch 5 - Average Train Loss: 0.7174, Train Accuracy: 0.7474
Epoch 5 training time consumed: 39.48s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0033, Accuracy: 0.7296, Time consumed:1.32s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_13h_15m_54s/ResNet18-Cifar10-seed1-ret25-5-best.pth
Training Epoch: 6 [256/46250]	Loss: 0.6631	LR: 0.100000
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Training Epoch: 6 [46250/46250]	Loss: 0.5591	LR: 0.100000
Epoch 6 - Average Train Loss: 0.6474, Train Accuracy: 0.7738
Epoch 6 training time consumed: 39.56s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0032, Accuracy: 0.7338, Time consumed:1.33s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_13h_15m_54s/ResNet18-Cifar10-seed1-ret25-6-best.pth
Training Epoch: 7 [256/46250]	Loss: 0.6584	LR: 0.100000
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Training Epoch: 7 [46250/46250]	Loss: 0.6249	LR: 0.100000
Epoch 7 - Average Train Loss: 0.5997, Train Accuracy: 0.7921
Epoch 7 training time consumed: 39.39s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0025, Accuracy: 0.7896, Time consumed:1.32s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_13h_15m_54s/ResNet18-Cifar10-seed1-ret25-7-best.pth
Training Epoch: 8 [256/46250]	Loss: 0.5323	LR: 0.020000
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Training Epoch: 8 [45312/46250]	Loss: 0.3493	LR: 0.020000
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Training Epoch: 8 [45824/46250]	Loss: 0.5412	LR: 0.020000
Training Epoch: 8 [46080/46250]	Loss: 0.3852	LR: 0.020000
Training Epoch: 8 [46250/46250]	Loss: 0.5122	LR: 0.020000
Epoch 8 - Average Train Loss: 0.4408, Train Accuracy: 0.8475
Epoch 8 training time consumed: 39.65s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0017, Accuracy: 0.8586, Time consumed:1.33s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_13h_15m_54s/ResNet18-Cifar10-seed1-ret25-8-best.pth
Training Epoch: 9 [256/46250]	Loss: 0.3409	LR: 0.020000
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Training Epoch: 9 [46080/46250]	Loss: 0.3864	LR: 0.020000
Training Epoch: 9 [46250/46250]	Loss: 0.4295	LR: 0.020000
Epoch 9 - Average Train Loss: 0.4026, Train Accuracy: 0.8589
Epoch 9 training time consumed: 39.51s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0017, Accuracy: 0.8596, Time consumed:1.32s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_13h_15m_54s/ResNet18-Cifar10-seed1-ret25-9-best.pth
Training Epoch: 10 [256/46250]	Loss: 0.4834	LR: 0.020000
Training Epoch: 10 [512/46250]	Loss: 0.4497	LR: 0.020000
Training Epoch: 10 [768/46250]	Loss: 0.3632	LR: 0.020000
Training Epoch: 10 [1024/46250]	Loss: 0.4368	LR: 0.020000
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Training Epoch: 10 [1536/46250]	Loss: 0.4184	LR: 0.020000
Training Epoch: 10 [1792/46250]	Loss: 0.2557	LR: 0.020000
Training Epoch: 10 [2048/46250]	Loss: 0.3910	LR: 0.020000
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Training Epoch: 10 [24576/46250]	Loss: 0.4170	LR: 0.020000
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Training Epoch: 10 [46080/46250]	Loss: 0.3630	LR: 0.020000
Training Epoch: 10 [46250/46250]	Loss: 0.4110	LR: 0.020000
Epoch 10 - Average Train Loss: 0.3788, Train Accuracy: 0.8668
Epoch 10 training time consumed: 39.95s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0016, Accuracy: 0.8700, Time consumed:1.32s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_13h_15m_54s/ResNet18-Cifar10-seed1-ret25-10-best.pth
Training Epoch: 11 [256/46250]	Loss: 0.3294	LR: 0.020000
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Training Epoch: 11 [44544/46250]	Loss: 0.3453	LR: 0.020000
Training Epoch: 11 [44800/46250]	Loss: 0.3605	LR: 0.020000
Training Epoch: 11 [45056/46250]	Loss: 0.3900	LR: 0.020000
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Training Epoch: 11 [45824/46250]	Loss: 0.3755	LR: 0.020000
Training Epoch: 11 [46080/46250]	Loss: 0.3574	LR: 0.020000
Training Epoch: 11 [46250/46250]	Loss: 0.4192	LR: 0.020000
Epoch 11 - Average Train Loss: 0.3610, Train Accuracy: 0.8746
Epoch 11 training time consumed: 39.58s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0015, Accuracy: 0.8686, Time consumed:1.33s
Training Epoch: 12 [256/46250]	Loss: 0.3135	LR: 0.004000
Training Epoch: 12 [512/46250]	Loss: 0.3290	LR: 0.004000
Training Epoch: 12 [768/46250]	Loss: 0.3687	LR: 0.004000
Training Epoch: 12 [1024/46250]	Loss: 0.3668	LR: 0.004000
Training Epoch: 12 [1280/46250]	Loss: 0.3462	LR: 0.004000
Training Epoch: 12 [1536/46250]	Loss: 0.2894	LR: 0.004000
Training Epoch: 12 [1792/46250]	Loss: 0.3762	LR: 0.004000
Training Epoch: 12 [2048/46250]	Loss: 0.3971	LR: 0.004000
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Training Epoch: 12 [2560/46250]	Loss: 0.2934	LR: 0.004000
Training Epoch: 12 [2816/46250]	Loss: 0.4238	LR: 0.004000
Training Epoch: 12 [3072/46250]	Loss: 0.3995	LR: 0.004000
Training Epoch: 12 [3328/46250]	Loss: 0.4094	LR: 0.004000
Training Epoch: 12 [3584/46250]	Loss: 0.3253	LR: 0.004000
Training Epoch: 12 [3840/46250]	Loss: 0.3587	LR: 0.004000
Training Epoch: 12 [4096/46250]	Loss: 0.3140	LR: 0.004000
Training Epoch: 12 [4352/46250]	Loss: 0.3534	LR: 0.004000
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Training Epoch: 12 [46080/46250]	Loss: 0.3271	LR: 0.004000
Training Epoch: 12 [46250/46250]	Loss: 0.4651	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3123, Train Accuracy: 0.8903
Epoch 12 training time consumed: 39.44s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0014, Accuracy: 0.8832, Time consumed:1.32s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_13h_15m_54s/ResNet18-Cifar10-seed1-ret25-12-best.pth
Training Epoch: 13 [256/46250]	Loss: 0.2994	LR: 0.004000
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Training Epoch: 13 [43520/46250]	Loss: 0.2532	LR: 0.004000
Training Epoch: 13 [43776/46250]	Loss: 0.2716	LR: 0.004000
Training Epoch: 13 [44032/46250]	Loss: 0.4399	LR: 0.004000
Training Epoch: 13 [44288/46250]	Loss: 0.3308	LR: 0.004000
Training Epoch: 13 [44544/46250]	Loss: 0.2447	LR: 0.004000
Training Epoch: 13 [44800/46250]	Loss: 0.3212	LR: 0.004000
Training Epoch: 13 [45056/46250]	Loss: 0.4043	LR: 0.004000
Training Epoch: 13 [45312/46250]	Loss: 0.2784	LR: 0.004000
Training Epoch: 13 [45568/46250]	Loss: 0.2716	LR: 0.004000
Training Epoch: 13 [45824/46250]	Loss: 0.3386	LR: 0.004000
Training Epoch: 13 [46080/46250]	Loss: 0.3028	LR: 0.004000
Training Epoch: 13 [46250/46250]	Loss: 0.1937	LR: 0.004000
Epoch 13 - Average Train Loss: 0.3009, Train Accuracy: 0.8958
Epoch 13 training time consumed: 39.53s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0013, Accuracy: 0.8843, Time consumed:1.31s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_13h_15m_54s/ResNet18-Cifar10-seed1-ret25-13-best.pth
Training Epoch: 14 [256/46250]	Loss: 0.3462	LR: 0.004000
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Training Epoch: 14 [46080/46250]	Loss: 0.3280	LR: 0.004000
Training Epoch: 14 [46250/46250]	Loss: 0.3431	LR: 0.004000
Epoch 14 - Average Train Loss: 0.2949, Train Accuracy: 0.8972
Epoch 14 training time consumed: 39.47s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0014, Accuracy: 0.8840, Time consumed:1.31s
Training Epoch: 15 [256/46250]	Loss: 0.3356	LR: 0.004000
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Training Epoch: 15 [1024/46250]	Loss: 0.2619	LR: 0.004000
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Training Epoch: 15 [44032/46250]	Loss: 0.2937	LR: 0.004000
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Training Epoch: 15 [44544/46250]	Loss: 0.2748	LR: 0.004000
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Training Epoch: 15 [45312/46250]	Loss: 0.2719	LR: 0.004000
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Training Epoch: 15 [46080/46250]	Loss: 0.2626	LR: 0.004000
Training Epoch: 15 [46250/46250]	Loss: 0.2264	LR: 0.004000
Epoch 15 - Average Train Loss: 0.2905, Train Accuracy: 0.8985
Epoch 15 training time consumed: 39.50s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0013, Accuracy: 0.8882, Time consumed:1.31s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_13h_15m_54s/ResNet18-Cifar10-seed1-ret25-15-best.pth
Training Epoch: 16 [256/46250]	Loss: 0.3180	LR: 0.000800
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Training Epoch: 16 [1536/46250]	Loss: 0.2871	LR: 0.000800
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Training Epoch: 16 [2048/46250]	Loss: 0.3350	LR: 0.000800
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Training Epoch: 16 [37888/46250]	Loss: 0.2290	LR: 0.000800
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Training Epoch: 16 [40448/46250]	Loss: 0.1774	LR: 0.000800
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Training Epoch: 16 [42240/46250]	Loss: 0.2218	LR: 0.000800
Training Epoch: 16 [42496/46250]	Loss: 0.2488	LR: 0.000800
Training Epoch: 16 [42752/46250]	Loss: 0.2781	LR: 0.000800
Training Epoch: 16 [43008/46250]	Loss: 0.3843	LR: 0.000800
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Training Epoch: 16 [43520/46250]	Loss: 0.3007	LR: 0.000800
Training Epoch: 16 [43776/46250]	Loss: 0.2614	LR: 0.000800
Training Epoch: 16 [44032/46250]	Loss: 0.2669	LR: 0.000800
Training Epoch: 16 [44288/46250]	Loss: 0.2974	LR: 0.000800
Training Epoch: 16 [44544/46250]	Loss: 0.2581	LR: 0.000800
Training Epoch: 16 [44800/46250]	Loss: 0.2938	LR: 0.000800
Training Epoch: 16 [45056/46250]	Loss: 0.2483	LR: 0.000800
Training Epoch: 16 [45312/46250]	Loss: 0.2360	LR: 0.000800
Training Epoch: 16 [45568/46250]	Loss: 0.2637	LR: 0.000800
Training Epoch: 16 [45824/46250]	Loss: 0.2849	LR: 0.000800
Training Epoch: 16 [46080/46250]	Loss: 0.2923	LR: 0.000800
Training Epoch: 16 [46250/46250]	Loss: 0.2417	LR: 0.000800
Epoch 16 - Average Train Loss: 0.2746, Train Accuracy: 0.9042
Epoch 16 training time consumed: 39.56s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0013, Accuracy: 0.8888, Time consumed:1.32s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_13h_15m_54s/ResNet18-Cifar10-seed1-ret25-16-best.pth
Training Epoch: 17 [256/46250]	Loss: 0.2269	LR: 0.000800
Training Epoch: 17 [512/46250]	Loss: 0.3091	LR: 0.000800
Training Epoch: 17 [768/46250]	Loss: 0.2058	LR: 0.000800
Training Epoch: 17 [1024/46250]	Loss: 0.2846	LR: 0.000800
Training Epoch: 17 [1280/46250]	Loss: 0.3089	LR: 0.000800
Training Epoch: 17 [1536/46250]	Loss: 0.2351	LR: 0.000800
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Training Epoch: 17 [42496/46250]	Loss: 0.2629	LR: 0.000800
Training Epoch: 17 [42752/46250]	Loss: 0.2356	LR: 0.000800
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Training Epoch: 17 [43520/46250]	Loss: 0.2435	LR: 0.000800
Training Epoch: 17 [43776/46250]	Loss: 0.2978	LR: 0.000800
Training Epoch: 17 [44032/46250]	Loss: 0.2274	LR: 0.000800
Training Epoch: 17 [44288/46250]	Loss: 0.3560	LR: 0.000800
Training Epoch: 17 [44544/46250]	Loss: 0.2371	LR: 0.000800
Training Epoch: 17 [44800/46250]	Loss: 0.2881	LR: 0.000800
Training Epoch: 17 [45056/46250]	Loss: 0.3260	LR: 0.000800
Training Epoch: 17 [45312/46250]	Loss: 0.3316	LR: 0.000800
Training Epoch: 17 [45568/46250]	Loss: 0.1627	LR: 0.000800
Training Epoch: 17 [45824/46250]	Loss: 0.3571	LR: 0.000800
Training Epoch: 17 [46080/46250]	Loss: 0.2443	LR: 0.000800
Training Epoch: 17 [46250/46250]	Loss: 0.3629	LR: 0.000800
Epoch 17 - Average Train Loss: 0.2728, Train Accuracy: 0.9055
Epoch 17 training time consumed: 39.55s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0013, Accuracy: 0.8899, Time consumed:1.31s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_13h_15m_54s/ResNet18-Cifar10-seed1-ret25-17-best.pth
Training Epoch: 18 [256/46250]	Loss: 0.2579	LR: 0.000800
Training Epoch: 18 [512/46250]	Loss: 0.2856	LR: 0.000800
Training Epoch: 18 [768/46250]	Loss: 0.3388	LR: 0.000800
Training Epoch: 18 [1024/46250]	Loss: 0.2953	LR: 0.000800
Training Epoch: 18 [1280/46250]	Loss: 0.3227	LR: 0.000800
Training Epoch: 18 [1536/46250]	Loss: 0.2546	LR: 0.000800
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Training Epoch: 18 [2048/46250]	Loss: 0.2846	LR: 0.000800
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Training Epoch: 18 [3072/46250]	Loss: 0.2203	LR: 0.000800
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Training Epoch: 18 [17152/46250]	Loss: 0.2320	LR: 0.000800
Training Epoch: 18 [17408/46250]	Loss: 0.3099	LR: 0.000800
Training Epoch: 18 [17664/46250]	Loss: 0.2360	LR: 0.000800
Training Epoch: 18 [17920/46250]	Loss: 0.2066	LR: 0.000800
Training Epoch: 18 [18176/46250]	Loss: 0.2322	LR: 0.000800
Training Epoch: 18 [18432/46250]	Loss: 0.2327	LR: 0.000800
Training Epoch: 18 [18688/46250]	Loss: 0.2798	LR: 0.000800
Training Epoch: 18 [18944/46250]	Loss: 0.3078	LR: 0.000800
Training Epoch: 18 [19200/46250]	Loss: 0.3415	LR: 0.000800
Training Epoch: 18 [19456/46250]	Loss: 0.2789	LR: 0.000800
Training Epoch: 18 [19712/46250]	Loss: 0.2425	LR: 0.000800
Training Epoch: 18 [19968/46250]	Loss: 0.2294	LR: 0.000800
Training Epoch: 18 [20224/46250]	Loss: 0.3758	LR: 0.000800
Training Epoch: 18 [20480/46250]	Loss: 0.2388	LR: 0.000800
Training Epoch: 18 [20736/46250]	Loss: 0.3057	LR: 0.000800
Training Epoch: 18 [20992/46250]	Loss: 0.2787	LR: 0.000800
Training Epoch: 18 [21248/46250]	Loss: 0.2812	LR: 0.000800
Training Epoch: 18 [21504/46250]	Loss: 0.1934	LR: 0.000800
Training Epoch: 18 [21760/46250]	Loss: 0.2907	LR: 0.000800
Training Epoch: 18 [22016/46250]	Loss: 0.2546	LR: 0.000800
Training Epoch: 18 [22272/46250]	Loss: 0.2372	LR: 0.000800
Training Epoch: 18 [22528/46250]	Loss: 0.2425	LR: 0.000800
Training Epoch: 18 [22784/46250]	Loss: 0.2597	LR: 0.000800
Training Epoch: 18 [23040/46250]	Loss: 0.2455	LR: 0.000800
Training Epoch: 18 [23296/46250]	Loss: 0.2644	LR: 0.000800
Training Epoch: 18 [23552/46250]	Loss: 0.3168	LR: 0.000800
Training Epoch: 18 [23808/46250]	Loss: 0.2985	LR: 0.000800
Training Epoch: 18 [24064/46250]	Loss: 0.2093	LR: 0.000800
Training Epoch: 18 [24320/46250]	Loss: 0.3049	LR: 0.000800
Training Epoch: 18 [24576/46250]	Loss: 0.2220	LR: 0.000800
Training Epoch: 18 [24832/46250]	Loss: 0.2773	LR: 0.000800
Training Epoch: 18 [25088/46250]	Loss: 0.2225	LR: 0.000800
Training Epoch: 18 [25344/46250]	Loss: 0.2285	LR: 0.000800
Training Epoch: 18 [25600/46250]	Loss: 0.2908	LR: 0.000800
Training Epoch: 18 [25856/46250]	Loss: 0.2746	LR: 0.000800
Training Epoch: 18 [26112/46250]	Loss: 0.2206	LR: 0.000800
Training Epoch: 18 [26368/46250]	Loss: 0.3513	LR: 0.000800
Training Epoch: 18 [26624/46250]	Loss: 0.3534	LR: 0.000800
Training Epoch: 18 [26880/46250]	Loss: 0.2562	LR: 0.000800
Training Epoch: 18 [27136/46250]	Loss: 0.2736	LR: 0.000800
Training Epoch: 18 [27392/46250]	Loss: 0.2079	LR: 0.000800
Training Epoch: 18 [27648/46250]	Loss: 0.2749	LR: 0.000800
Training Epoch: 18 [27904/46250]	Loss: 0.2136	LR: 0.000800
Training Epoch: 18 [28160/46250]	Loss: 0.2958	LR: 0.000800
Training Epoch: 18 [28416/46250]	Loss: 0.2352	LR: 0.000800
Training Epoch: 18 [28672/46250]	Loss: 0.2461	LR: 0.000800
Training Epoch: 18 [28928/46250]	Loss: 0.2861	LR: 0.000800
Training Epoch: 18 [29184/46250]	Loss: 0.2410	LR: 0.000800
Training Epoch: 18 [29440/46250]	Loss: 0.2703	LR: 0.000800
Training Epoch: 18 [29696/46250]	Loss: 0.3231	LR: 0.000800
Training Epoch: 18 [29952/46250]	Loss: 0.2711	LR: 0.000800
Training Epoch: 18 [30208/46250]	Loss: 0.3294	LR: 0.000800
Training Epoch: 18 [30464/46250]	Loss: 0.3024	LR: 0.000800
Training Epoch: 18 [30720/46250]	Loss: 0.2514	LR: 0.000800
Training Epoch: 18 [30976/46250]	Loss: 0.2207	LR: 0.000800
Training Epoch: 18 [31232/46250]	Loss: 0.3031	LR: 0.000800
Training Epoch: 18 [31488/46250]	Loss: 0.3593	LR: 0.000800
Training Epoch: 18 [31744/46250]	Loss: 0.2313	LR: 0.000800
Training Epoch: 18 [32000/46250]	Loss: 0.2599	LR: 0.000800
Training Epoch: 18 [32256/46250]	Loss: 0.2257	LR: 0.000800
Training Epoch: 18 [32512/46250]	Loss: 0.2898	LR: 0.000800
Training Epoch: 18 [32768/46250]	Loss: 0.2144	LR: 0.000800
Training Epoch: 18 [33024/46250]	Loss: 0.2404	LR: 0.000800
Training Epoch: 18 [33280/46250]	Loss: 0.2692	LR: 0.000800
Training Epoch: 18 [33536/46250]	Loss: 0.3083	LR: 0.000800
Training Epoch: 18 [33792/46250]	Loss: 0.3404	LR: 0.000800
Training Epoch: 18 [34048/46250]	Loss: 0.2775	LR: 0.000800
Training Epoch: 18 [34304/46250]	Loss: 0.3239	LR: 0.000800
Training Epoch: 18 [34560/46250]	Loss: 0.2790	LR: 0.000800
Training Epoch: 18 [34816/46250]	Loss: 0.3084	LR: 0.000800
Training Epoch: 18 [35072/46250]	Loss: 0.2999	LR: 0.000800
Training Epoch: 18 [35328/46250]	Loss: 0.2997	LR: 0.000800
Training Epoch: 18 [35584/46250]	Loss: 0.3338	LR: 0.000800
Training Epoch: 18 [35840/46250]	Loss: 0.2847	LR: 0.000800
Training Epoch: 18 [36096/46250]	Loss: 0.2388	LR: 0.000800
Training Epoch: 18 [36352/46250]	Loss: 0.3189	LR: 0.000800
Training Epoch: 18 [36608/46250]	Loss: 0.2517	LR: 0.000800
Training Epoch: 18 [36864/46250]	Loss: 0.2366	LR: 0.000800
Training Epoch: 18 [37120/46250]	Loss: 0.2598	LR: 0.000800
Training Epoch: 18 [37376/46250]	Loss: 0.2768	LR: 0.000800
Training Epoch: 18 [37632/46250]	Loss: 0.2951	LR: 0.000800
Training Epoch: 18 [37888/46250]	Loss: 0.2152	LR: 0.000800
Training Epoch: 18 [38144/46250]	Loss: 0.2924	LR: 0.000800
Training Epoch: 18 [38400/46250]	Loss: 0.2918	LR: 0.000800
Training Epoch: 18 [38656/46250]	Loss: 0.2150	LR: 0.000800
Training Epoch: 18 [38912/46250]	Loss: 0.2065	LR: 0.000800
Training Epoch: 18 [39168/46250]	Loss: 0.2178	LR: 0.000800
Training Epoch: 18 [39424/46250]	Loss: 0.3026	LR: 0.000800
Training Epoch: 18 [39680/46250]	Loss: 0.3558	LR: 0.000800
Training Epoch: 18 [39936/46250]	Loss: 0.1936	LR: 0.000800
Training Epoch: 18 [40192/46250]	Loss: 0.3366	LR: 0.000800
Training Epoch: 18 [40448/46250]	Loss: 0.2784	LR: 0.000800
Training Epoch: 18 [40704/46250]	Loss: 0.2823	LR: 0.000800
Training Epoch: 18 [40960/46250]	Loss: 0.2737	LR: 0.000800
Training Epoch: 18 [41216/46250]	Loss: 0.3713	LR: 0.000800
Training Epoch: 18 [41472/46250]	Loss: 0.2341	LR: 0.000800
Training Epoch: 18 [41728/46250]	Loss: 0.2602	LR: 0.000800
Training Epoch: 18 [41984/46250]	Loss: 0.3016	LR: 0.000800
Training Epoch: 18 [42240/46250]	Loss: 0.1996	LR: 0.000800
Training Epoch: 18 [42496/46250]	Loss: 0.2276	LR: 0.000800
Training Epoch: 18 [42752/46250]	Loss: 0.2570	LR: 0.000800
Training Epoch: 18 [43008/46250]	Loss: 0.1695	LR: 0.000800
Training Epoch: 18 [43264/46250]	Loss: 0.1862	LR: 0.000800
Training Epoch: 18 [43520/46250]	Loss: 0.3286	LR: 0.000800
Training Epoch: 18 [43776/46250]	Loss: 0.2819	LR: 0.000800
Training Epoch: 18 [44032/46250]	Loss: 0.3615	LR: 0.000800
Training Epoch: 18 [44288/46250]	Loss: 0.2878	LR: 0.000800
Training Epoch: 18 [44544/46250]	Loss: 0.2929	LR: 0.000800
Training Epoch: 18 [44800/46250]	Loss: 0.2417	LR: 0.000800
Training Epoch: 18 [45056/46250]	Loss: 0.3259	LR: 0.000800
Training Epoch: 18 [45312/46250]	Loss: 0.2967	LR: 0.000800
Training Epoch: 18 [45568/46250]	Loss: 0.2271	LR: 0.000800
Training Epoch: 18 [45824/46250]	Loss: 0.1971	LR: 0.000800
Training Epoch: 18 [46080/46250]	Loss: 0.2999	LR: 0.000800
Training Epoch: 18 [46250/46250]	Loss: 0.2872	LR: 0.000800
Epoch 18 - Average Train Loss: 0.2713, Train Accuracy: 0.9049
Epoch 18 training time consumed: 39.75s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0013, Accuracy: 0.8891, Time consumed:1.32s
Training Epoch: 19 [256/46250]	Loss: 0.3597	LR: 0.000800
Training Epoch: 19 [512/46250]	Loss: 0.3379	LR: 0.000800
Training Epoch: 19 [768/46250]	Loss: 0.3092	LR: 0.000800
Training Epoch: 19 [1024/46250]	Loss: 0.3007	LR: 0.000800
Training Epoch: 19 [1280/46250]	Loss: 0.3130	LR: 0.000800
Training Epoch: 19 [1536/46250]	Loss: 0.2290	LR: 0.000800
Training Epoch: 19 [1792/46250]	Loss: 0.2665	LR: 0.000800
Training Epoch: 19 [2048/46250]	Loss: 0.2418	LR: 0.000800
Training Epoch: 19 [2304/46250]	Loss: 0.3317	LR: 0.000800
Training Epoch: 19 [2560/46250]	Loss: 0.2472	LR: 0.000800
Training Epoch: 19 [2816/46250]	Loss: 0.2409	LR: 0.000800
Training Epoch: 19 [3072/46250]	Loss: 0.2664	LR: 0.000800
Training Epoch: 19 [3328/46250]	Loss: 0.3057	LR: 0.000800
Training Epoch: 19 [3584/46250]	Loss: 0.2287	LR: 0.000800
Training Epoch: 19 [3840/46250]	Loss: 0.2833	LR: 0.000800
Training Epoch: 19 [4096/46250]	Loss: 0.3400	LR: 0.000800
Training Epoch: 19 [4352/46250]	Loss: 0.3232	LR: 0.000800
Training Epoch: 19 [4608/46250]	Loss: 0.2915	LR: 0.000800
Training Epoch: 19 [4864/46250]	Loss: 0.2025	LR: 0.000800
Training Epoch: 19 [5120/46250]	Loss: 0.3111	LR: 0.000800
Training Epoch: 19 [5376/46250]	Loss: 0.2938	LR: 0.000800
Training Epoch: 19 [5632/46250]	Loss: 0.2288	LR: 0.000800
Training Epoch: 19 [5888/46250]	Loss: 0.3458	LR: 0.000800
Training Epoch: 19 [6144/46250]	Loss: 0.2717	LR: 0.000800
Training Epoch: 19 [6400/46250]	Loss: 0.3288	LR: 0.000800
Training Epoch: 19 [6656/46250]	Loss: 0.2878	LR: 0.000800
Training Epoch: 19 [6912/46250]	Loss: 0.2290	LR: 0.000800
Training Epoch: 19 [7168/46250]	Loss: 0.2592	LR: 0.000800
Training Epoch: 19 [7424/46250]	Loss: 0.3184	LR: 0.000800
Training Epoch: 19 [7680/46250]	Loss: 0.2626	LR: 0.000800
Training Epoch: 19 [7936/46250]	Loss: 0.3134	LR: 0.000800
Training Epoch: 19 [8192/46250]	Loss: 0.3041	LR: 0.000800
Training Epoch: 19 [8448/46250]	Loss: 0.2799	LR: 0.000800
Training Epoch: 19 [8704/46250]	Loss: 0.2275	LR: 0.000800
Training Epoch: 19 [8960/46250]	Loss: 0.2431	LR: 0.000800
Training Epoch: 19 [9216/46250]	Loss: 0.2781	LR: 0.000800
Training Epoch: 19 [9472/46250]	Loss: 0.3521	LR: 0.000800
Training Epoch: 19 [9728/46250]	Loss: 0.2754	LR: 0.000800
Training Epoch: 19 [9984/46250]	Loss: 0.3084	LR: 0.000800
Training Epoch: 19 [10240/46250]	Loss: 0.2496	LR: 0.000800
Training Epoch: 19 [10496/46250]	Loss: 0.3001	LR: 0.000800
Training Epoch: 19 [10752/46250]	Loss: 0.2579	LR: 0.000800
Training Epoch: 19 [11008/46250]	Loss: 0.2178	LR: 0.000800
Training Epoch: 19 [11264/46250]	Loss: 0.2659	LR: 0.000800
Training Epoch: 19 [11520/46250]	Loss: 0.2590	LR: 0.000800
Training Epoch: 19 [11776/46250]	Loss: 0.2303	LR: 0.000800
Training Epoch: 19 [12032/46250]	Loss: 0.3405	LR: 0.000800
Training Epoch: 19 [12288/46250]	Loss: 0.2047	LR: 0.000800
Training Epoch: 19 [12544/46250]	Loss: 0.2789	LR: 0.000800
Training Epoch: 19 [12800/46250]	Loss: 0.2483	LR: 0.000800
Training Epoch: 19 [13056/46250]	Loss: 0.2430	LR: 0.000800
Training Epoch: 19 [13312/46250]	Loss: 0.3052	LR: 0.000800
Training Epoch: 19 [13568/46250]	Loss: 0.2565	LR: 0.000800
Training Epoch: 19 [13824/46250]	Loss: 0.2419	LR: 0.000800
Training Epoch: 19 [14080/46250]	Loss: 0.3038	LR: 0.000800
Training Epoch: 19 [14336/46250]	Loss: 0.2491	LR: 0.000800
Training Epoch: 19 [14592/46250]	Loss: 0.3273	LR: 0.000800
Training Epoch: 19 [14848/46250]	Loss: 0.2519	LR: 0.000800
Training Epoch: 19 [15104/46250]	Loss: 0.3381	LR: 0.000800
Training Epoch: 19 [15360/46250]	Loss: 0.3086	LR: 0.000800
Training Epoch: 19 [15616/46250]	Loss: 0.2397	LR: 0.000800
Training Epoch: 19 [15872/46250]	Loss: 0.2288	LR: 0.000800
Training Epoch: 19 [16128/46250]	Loss: 0.2506	LR: 0.000800
Training Epoch: 19 [16384/46250]	Loss: 0.1972	LR: 0.000800
Training Epoch: 19 [16640/46250]	Loss: 0.2402	LR: 0.000800
Training Epoch: 19 [16896/46250]	Loss: 0.2913	LR: 0.000800
Training Epoch: 19 [17152/46250]	Loss: 0.2367	LR: 0.000800
Training Epoch: 19 [17408/46250]	Loss: 0.2755	LR: 0.000800
Training Epoch: 19 [17664/46250]	Loss: 0.3035	LR: 0.000800
Training Epoch: 19 [17920/46250]	Loss: 0.3017	LR: 0.000800
Training Epoch: 19 [18176/46250]	Loss: 0.2747	LR: 0.000800
Training Epoch: 19 [18432/46250]	Loss: 0.2376	LR: 0.000800
Training Epoch: 19 [18688/46250]	Loss: 0.2678	LR: 0.000800
Training Epoch: 19 [18944/46250]	Loss: 0.2470	LR: 0.000800
Training Epoch: 19 [19200/46250]	Loss: 0.1909	LR: 0.000800
Training Epoch: 19 [19456/46250]	Loss: 0.2201	LR: 0.000800
Training Epoch: 19 [19712/46250]	Loss: 0.3135	LR: 0.000800
Training Epoch: 19 [19968/46250]	Loss: 0.3289	LR: 0.000800
Training Epoch: 19 [20224/46250]	Loss: 0.2417	LR: 0.000800
Training Epoch: 19 [20480/46250]	Loss: 0.3015	LR: 0.000800
Training Epoch: 19 [20736/46250]	Loss: 0.3105	LR: 0.000800
Training Epoch: 19 [20992/46250]	Loss: 0.2069	LR: 0.000800
Training Epoch: 19 [21248/46250]	Loss: 0.3196	LR: 0.000800
Training Epoch: 19 [21504/46250]	Loss: 0.2520	LR: 0.000800
Training Epoch: 19 [21760/46250]	Loss: 0.2272	LR: 0.000800
Training Epoch: 19 [22016/46250]	Loss: 0.3028	LR: 0.000800
Training Epoch: 19 [22272/46250]	Loss: 0.2500	LR: 0.000800
Training Epoch: 19 [22528/46250]	Loss: 0.2292	LR: 0.000800
Training Epoch: 19 [22784/46250]	Loss: 0.2749	LR: 0.000800
Training Epoch: 19 [23040/46250]	Loss: 0.3159	LR: 0.000800
Training Epoch: 19 [23296/46250]	Loss: 0.2766	LR: 0.000800
Training Epoch: 19 [23552/46250]	Loss: 0.2259	LR: 0.000800
Training Epoch: 19 [23808/46250]	Loss: 0.1885	LR: 0.000800
Training Epoch: 19 [24064/46250]	Loss: 0.2517	LR: 0.000800
Training Epoch: 19 [24320/46250]	Loss: 0.2511	LR: 0.000800
Training Epoch: 19 [24576/46250]	Loss: 0.2639	LR: 0.000800
Training Epoch: 19 [24832/46250]	Loss: 0.3231	LR: 0.000800
Training Epoch: 19 [25088/46250]	Loss: 0.2938	LR: 0.000800
Training Epoch: 19 [25344/46250]	Loss: 0.2802	LR: 0.000800
Training Epoch: 19 [25600/46250]	Loss: 0.2429	LR: 0.000800
Training Epoch: 19 [25856/46250]	Loss: 0.2624	LR: 0.000800
Training Epoch: 19 [26112/46250]	Loss: 0.2580	LR: 0.000800
Training Epoch: 19 [26368/46250]	Loss: 0.2948	LR: 0.000800
Training Epoch: 19 [26624/46250]	Loss: 0.2833	LR: 0.000800
Training Epoch: 19 [26880/46250]	Loss: 0.2400	LR: 0.000800
Training Epoch: 19 [27136/46250]	Loss: 0.2460	LR: 0.000800
Training Epoch: 19 [27392/46250]	Loss: 0.3078	LR: 0.000800
Training Epoch: 19 [27648/46250]	Loss: 0.2697	LR: 0.000800
Training Epoch: 19 [27904/46250]	Loss: 0.2610	LR: 0.000800
Training Epoch: 19 [28160/46250]	Loss: 0.2703	LR: 0.000800
Training Epoch: 19 [28416/46250]	Loss: 0.2401	LR: 0.000800
Training Epoch: 19 [28672/46250]	Loss: 0.3004	LR: 0.000800
Training Epoch: 19 [28928/46250]	Loss: 0.1874	LR: 0.000800
Training Epoch: 19 [29184/46250]	Loss: 0.2447	LR: 0.000800
Training Epoch: 19 [29440/46250]	Loss: 0.2744	LR: 0.000800
Training Epoch: 19 [29696/46250]	Loss: 0.3053	LR: 0.000800
Training Epoch: 19 [29952/46250]	Loss: 0.4171	LR: 0.000800
Training Epoch: 19 [30208/46250]	Loss: 0.3311	LR: 0.000800
Training Epoch: 19 [30464/46250]	Loss: 0.2774	LR: 0.000800
Training Epoch: 19 [30720/46250]	Loss: 0.2817	LR: 0.000800
Training Epoch: 19 [30976/46250]	Loss: 0.2047	LR: 0.000800
Training Epoch: 19 [31232/46250]	Loss: 0.3380	LR: 0.000800
Training Epoch: 19 [31488/46250]	Loss: 0.2350	LR: 0.000800
Training Epoch: 19 [31744/46250]	Loss: 0.2662	LR: 0.000800
Training Epoch: 19 [32000/46250]	Loss: 0.2629	LR: 0.000800
Training Epoch: 19 [32256/46250]	Loss: 0.2982	LR: 0.000800
Training Epoch: 19 [32512/46250]	Loss: 0.2673	LR: 0.000800
Training Epoch: 19 [32768/46250]	Loss: 0.3132	LR: 0.000800
Training Epoch: 19 [33024/46250]	Loss: 0.3004	LR: 0.000800
Training Epoch: 19 [33280/46250]	Loss: 0.2758	LR: 0.000800
Training Epoch: 19 [33536/46250]	Loss: 0.2288	LR: 0.000800
Training Epoch: 19 [33792/46250]	Loss: 0.3258	LR: 0.000800
Training Epoch: 19 [34048/46250]	Loss: 0.2517	LR: 0.000800
Training Epoch: 19 [34304/46250]	Loss: 0.2715	LR: 0.000800
Training Epoch: 19 [34560/46250]	Loss: 0.2291	LR: 0.000800
Training Epoch: 19 [34816/46250]	Loss: 0.3241	LR: 0.000800
Training Epoch: 19 [35072/46250]	Loss: 0.1920	LR: 0.000800
Training Epoch: 19 [35328/46250]	Loss: 0.2382	LR: 0.000800
Training Epoch: 19 [35584/46250]	Loss: 0.2006	LR: 0.000800
Training Epoch: 19 [35840/46250]	Loss: 0.2712	LR: 0.000800
Training Epoch: 19 [36096/46250]	Loss: 0.2850	LR: 0.000800
Training Epoch: 19 [36352/46250]	Loss: 0.2234	LR: 0.000800
Training Epoch: 19 [36608/46250]	Loss: 0.2557	LR: 0.000800
Training Epoch: 19 [36864/46250]	Loss: 0.2586	LR: 0.000800
Training Epoch: 19 [37120/46250]	Loss: 0.3206	LR: 0.000800
Training Epoch: 19 [37376/46250]	Loss: 0.2585	LR: 0.000800
Training Epoch: 19 [37632/46250]	Loss: 0.2103	LR: 0.000800
Training Epoch: 19 [37888/46250]	Loss: 0.2977	LR: 0.000800
Training Epoch: 19 [38144/46250]	Loss: 0.2610	LR: 0.000800
Training Epoch: 19 [38400/46250]	Loss: 0.2275	LR: 0.000800
Training Epoch: 19 [38656/46250]	Loss: 0.2962	LR: 0.000800
Training Epoch: 19 [38912/46250]	Loss: 0.2007	LR: 0.000800
Training Epoch: 19 [39168/46250]	Loss: 0.2672	LR: 0.000800
Training Epoch: 19 [39424/46250]	Loss: 0.3038	LR: 0.000800
Training Epoch: 19 [39680/46250]	Loss: 0.2613	LR: 0.000800
Training Epoch: 19 [39936/46250]	Loss: 0.3109	LR: 0.000800
Training Epoch: 19 [40192/46250]	Loss: 0.2539	LR: 0.000800
Training Epoch: 19 [40448/46250]	Loss: 0.2955	LR: 0.000800
Training Epoch: 19 [40704/46250]	Loss: 0.2804	LR: 0.000800
Training Epoch: 19 [40960/46250]	Loss: 0.2034	LR: 0.000800
Training Epoch: 19 [41216/46250]	Loss: 0.3131	LR: 0.000800
Training Epoch: 19 [41472/46250]	Loss: 0.3317	LR: 0.000800
Training Epoch: 19 [41728/46250]	Loss: 0.2511	LR: 0.000800
Training Epoch: 19 [41984/46250]	Loss: 0.2214	LR: 0.000800
Training Epoch: 19 [42240/46250]	Loss: 0.2324	LR: 0.000800
Training Epoch: 19 [42496/46250]	Loss: 0.2679	LR: 0.000800
Training Epoch: 19 [42752/46250]	Loss: 0.2770	LR: 0.000800
Training Epoch: 19 [43008/46250]	Loss: 0.2291	LR: 0.000800
Training Epoch: 19 [43264/46250]	Loss: 0.2400	LR: 0.000800
Training Epoch: 19 [43520/46250]	Loss: 0.2317	LR: 0.000800
Training Epoch: 19 [43776/46250]	Loss: 0.2021	LR: 0.000800
Training Epoch: 19 [44032/46250]	Loss: 0.3697	LR: 0.000800
Training Epoch: 19 [44288/46250]	Loss: 0.2767	LR: 0.000800
Training Epoch: 19 [44544/46250]	Loss: 0.2272	LR: 0.000800
Training Epoch: 19 [44800/46250]	Loss: 0.3024	LR: 0.000800
Training Epoch: 19 [45056/46250]	Loss: 0.2726	LR: 0.000800
Training Epoch: 19 [45312/46250]	Loss: 0.2160	LR: 0.000800
Training Epoch: 19 [45568/46250]	Loss: 0.3284	LR: 0.000800
Training Epoch: 19 [45824/46250]	Loss: 0.2017	LR: 0.000800
Training Epoch: 19 [46080/46250]	Loss: 0.2793	LR: 0.000800
Training Epoch: 19 [46250/46250]	Loss: 0.1934	LR: 0.000800
Epoch 19 - Average Train Loss: 0.2702, Train Accuracy: 0.9065
Epoch 19 training time consumed: 39.53s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0013, Accuracy: 0.8901, Time consumed:1.32s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_13h_15m_54s/ResNet18-Cifar10-seed1-ret25-19-best.pth
Training Epoch: 20 [256/46250]	Loss: 0.2598	LR: 0.000800
Training Epoch: 20 [512/46250]	Loss: 0.2787	LR: 0.000800
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Training Epoch: 20 [44800/46250]	Loss: 0.2540	LR: 0.000800
Training Epoch: 20 [45056/46250]	Loss: 0.2483	LR: 0.000800
Training Epoch: 20 [45312/46250]	Loss: 0.2222	LR: 0.000800
Training Epoch: 20 [45568/46250]	Loss: 0.2188	LR: 0.000800
Training Epoch: 20 [45824/46250]	Loss: 0.3051	LR: 0.000800
Training Epoch: 20 [46080/46250]	Loss: 0.3120	LR: 0.000800
Training Epoch: 20 [46250/46250]	Loss: 0.1748	LR: 0.000800
Epoch 20 - Average Train Loss: 0.2672, Train Accuracy: 0.9068
Epoch 20 training time consumed: 39.72s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0013, Accuracy: 0.8905, Time consumed:1.33s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_13h_15m_54s/ResNet18-Cifar10-seed1-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
Set1 Distribution: 3750 samples
Set2 Distribution: 3750 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Test Accuracy: 89.16015625
Retain Accuracy: 91.18373107910156
Zero-Retain Forget (ZRF): 0.8354793787002563
Membership Inference Attack (MIA): 0.6189333333333333
Forget vs Retain Membership Inference Attack (MIA): 0.51
Forget vs Test Membership Inference Attack (MIA): 0.5386666666666666
Test vs Retain Membership Inference Attack (MIA): 0.50275
Train vs Test Membership Inference Attack (MIA): 0.52075
Forget Set Accuracy (Df): 87.73751831054688
Method Execution Time: 1749.09 seconds
