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

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

Updated class distribution:
Retain set:
  Class 0: 4625
  Class 1: 4625
  Class 2: 4625
  Class 3: 4625
  Class 4: 4625
  Class 5: 4625
  Class 6: 4625
  Class 7: 4625
  Class 8: 4625
  Class 9: 4625
Forget set:
  Class 0: 375
  Class 1: 375
  Class 2: 375
  Class 3: 375
  Class 4: 375
  Class 5: 375
  Class 6: 375
  Class 7: 375
  Class 8: 375
  Class 9: 375
⚠️ Warning: Retain train loader may not be shuffled.
Training Epoch: 1 [256/46250]	Loss: 2.4367	LR: 0.000000
Training Epoch: 1 [512/46250]	Loss: 2.4188	LR: 0.000552
Training Epoch: 1 [768/46250]	Loss: 2.4621	LR: 0.001105
Training Epoch: 1 [1024/46250]	Loss: 2.3962	LR: 0.001657
Training Epoch: 1 [1280/46250]	Loss: 2.3816	LR: 0.002210
Training Epoch: 1 [1536/46250]	Loss: 2.2800	LR: 0.002762
Training Epoch: 1 [1792/46250]	Loss: 2.2389	LR: 0.003315
Training Epoch: 1 [2048/46250]	Loss: 2.2464	LR: 0.003867
Training Epoch: 1 [2304/46250]	Loss: 2.2263	LR: 0.004420
Training Epoch: 1 [2560/46250]	Loss: 2.3023	LR: 0.004972
Training Epoch: 1 [2816/46250]	Loss: 2.2646	LR: 0.005525
Training Epoch: 1 [3072/46250]	Loss: 2.3525	LR: 0.006077
Training Epoch: 1 [3328/46250]	Loss: 2.1555	LR: 0.006630
Training Epoch: 1 [3584/46250]	Loss: 2.1325	LR: 0.007182
Training Epoch: 1 [3840/46250]	Loss: 2.0966	LR: 0.007735
Training Epoch: 1 [4096/46250]	Loss: 2.1246	LR: 0.008287
Training Epoch: 1 [4352/46250]	Loss: 1.9472	LR: 0.008840
Training Epoch: 1 [4608/46250]	Loss: 2.0907	LR: 0.009392
Training Epoch: 1 [4864/46250]	Loss: 2.0755	LR: 0.009945
Training Epoch: 1 [5120/46250]	Loss: 2.0042	LR: 0.010497
Training Epoch: 1 [5376/46250]	Loss: 1.9592	LR: 0.011050
Training Epoch: 1 [5632/46250]	Loss: 1.8674	LR: 0.011602
Training Epoch: 1 [5888/46250]	Loss: 1.8625	LR: 0.012155
Training Epoch: 1 [6144/46250]	Loss: 1.9332	LR: 0.012707
Training Epoch: 1 [6400/46250]	Loss: 1.9552	LR: 0.013260
Training Epoch: 1 [6656/46250]	Loss: 1.9606	LR: 0.013812
Training Epoch: 1 [6912/46250]	Loss: 1.8751	LR: 0.014365
Training Epoch: 1 [7168/46250]	Loss: 1.9095	LR: 0.014917
Training Epoch: 1 [7424/46250]	Loss: 1.8187	LR: 0.015470
Training Epoch: 1 [7680/46250]	Loss: 1.8806	LR: 0.016022
Training Epoch: 1 [7936/46250]	Loss: 1.8794	LR: 0.016575
Training Epoch: 1 [8192/46250]	Loss: 1.9402	LR: 0.017127
Training Epoch: 1 [8448/46250]	Loss: 1.9031	LR: 0.017680
Training Epoch: 1 [8704/46250]	Loss: 1.8485	LR: 0.018232
Training Epoch: 1 [8960/46250]	Loss: 1.8037	LR: 0.018785
Training Epoch: 1 [9216/46250]	Loss: 1.8544	LR: 0.019337
Training Epoch: 1 [9472/46250]	Loss: 1.7302	LR: 0.019890
Training Epoch: 1 [9728/46250]	Loss: 1.8670	LR: 0.020442
Training Epoch: 1 [9984/46250]	Loss: 1.7873	LR: 0.020994
Training Epoch: 1 [10240/46250]	Loss: 1.8333	LR: 0.021547
Training Epoch: 1 [10496/46250]	Loss: 1.7891	LR: 0.022099
Training Epoch: 1 [10752/46250]	Loss: 1.7636	LR: 0.022652
Training Epoch: 1 [11008/46250]	Loss: 1.9456	LR: 0.023204
Training Epoch: 1 [11264/46250]	Loss: 1.8287	LR: 0.023757
Training Epoch: 1 [11520/46250]	Loss: 1.6315	LR: 0.024309
Training Epoch: 1 [11776/46250]	Loss: 1.8986	LR: 0.024862
Training Epoch: 1 [12032/46250]	Loss: 1.8328	LR: 0.025414
Training Epoch: 1 [12288/46250]	Loss: 1.7870	LR: 0.025967
Training Epoch: 1 [12544/46250]	Loss: 1.9042	LR: 0.026519
Training Epoch: 1 [12800/46250]	Loss: 1.8478	LR: 0.027072
Training Epoch: 1 [13056/46250]	Loss: 1.9513	LR: 0.027624
Training Epoch: 1 [13312/46250]	Loss: 1.9379	LR: 0.028177
Training Epoch: 1 [13568/46250]	Loss: 1.9184	LR: 0.028729
Training Epoch: 1 [13824/46250]	Loss: 1.9669	LR: 0.029282
Training Epoch: 1 [14080/46250]	Loss: 1.8477	LR: 0.029834
Training Epoch: 1 [14336/46250]	Loss: 1.6792	LR: 0.030387
Training Epoch: 1 [14592/46250]	Loss: 1.8164	LR: 0.030939
Training Epoch: 1 [14848/46250]	Loss: 1.7227	LR: 0.031492
Training Epoch: 1 [15104/46250]	Loss: 1.6514	LR: 0.032044
Training Epoch: 1 [15360/46250]	Loss: 1.9789	LR: 0.032597
Training Epoch: 1 [15616/46250]	Loss: 1.7433	LR: 0.033149
Training Epoch: 1 [15872/46250]	Loss: 1.7411	LR: 0.033702
Training Epoch: 1 [16128/46250]	Loss: 1.8116	LR: 0.034254
Training Epoch: 1 [16384/46250]	Loss: 1.7251	LR: 0.034807
Training Epoch: 1 [16640/46250]	Loss: 1.6093	LR: 0.035359
Training Epoch: 1 [16896/46250]	Loss: 1.8331	LR: 0.035912
Training Epoch: 1 [17152/46250]	Loss: 1.8473	LR: 0.036464
Training Epoch: 1 [17408/46250]	Loss: 1.7162	LR: 0.037017
Training Epoch: 1 [17664/46250]	Loss: 1.7247	LR: 0.037569
Training Epoch: 1 [17920/46250]	Loss: 1.6828	LR: 0.038122
Training Epoch: 1 [18176/46250]	Loss: 1.7415	LR: 0.038674
Training Epoch: 1 [18432/46250]	Loss: 1.9262	LR: 0.039227
Training Epoch: 1 [18688/46250]	Loss: 1.8185	LR: 0.039779
Training Epoch: 1 [18944/46250]	Loss: 1.9978	LR: 0.040331
Training Epoch: 1 [19200/46250]	Loss: 1.6720	LR: 0.040884
Training Epoch: 1 [19456/46250]	Loss: 1.7573	LR: 0.041436
Training Epoch: 1 [19712/46250]	Loss: 1.6849	LR: 0.041989
Training Epoch: 1 [19968/46250]	Loss: 1.7574	LR: 0.042541
Training Epoch: 1 [20224/46250]	Loss: 1.7438	LR: 0.043094
Training Epoch: 1 [20480/46250]	Loss: 1.6554	LR: 0.043646
Training Epoch: 1 [20736/46250]	Loss: 1.6976	LR: 0.044199
Training Epoch: 1 [20992/46250]	Loss: 1.7211	LR: 0.044751
Training Epoch: 1 [21248/46250]	Loss: 1.7816	LR: 0.045304
Training Epoch: 1 [21504/46250]	Loss: 1.6005	LR: 0.045856
Training Epoch: 1 [21760/46250]	Loss: 1.7259	LR: 0.046409
Training Epoch: 1 [22016/46250]	Loss: 1.6271	LR: 0.046961
Training Epoch: 1 [22272/46250]	Loss: 1.5796	LR: 0.047514
Training Epoch: 1 [22528/46250]	Loss: 1.7932	LR: 0.048066
Training Epoch: 1 [22784/46250]	Loss: 1.6177	LR: 0.048619
Training Epoch: 1 [23040/46250]	Loss: 1.4964	LR: 0.049171
Training Epoch: 1 [23296/46250]	Loss: 1.5125	LR: 0.049724
Training Epoch: 1 [23552/46250]	Loss: 1.7721	LR: 0.050276
Training Epoch: 1 [23808/46250]	Loss: 1.5203	LR: 0.050829
Training Epoch: 1 [24064/46250]	Loss: 1.6697	LR: 0.051381
Training Epoch: 1 [24320/46250]	Loss: 1.4659	LR: 0.051934
Training Epoch: 1 [24576/46250]	Loss: 1.5327	LR: 0.052486
Training Epoch: 1 [24832/46250]	Loss: 1.6571	LR: 0.053039
Training Epoch: 1 [25088/46250]	Loss: 1.6897	LR: 0.053591
Training Epoch: 1 [25344/46250]	Loss: 1.6194	LR: 0.054144
Training Epoch: 1 [25600/46250]	Loss: 1.7488	LR: 0.054696
Training Epoch: 1 [25856/46250]	Loss: 1.5013	LR: 0.055249
Training Epoch: 1 [26112/46250]	Loss: 1.5777	LR: 0.055801
Training Epoch: 1 [26368/46250]	Loss: 1.7590	LR: 0.056354
Training Epoch: 1 [26624/46250]	Loss: 1.8518	LR: 0.056906
Training Epoch: 1 [26880/46250]	Loss: 1.7069	LR: 0.057459
Training Epoch: 1 [27136/46250]	Loss: 1.6567	LR: 0.058011
Training Epoch: 1 [27392/46250]	Loss: 1.4635	LR: 0.058564
Training Epoch: 1 [27648/46250]	Loss: 1.7709	LR: 0.059116
Training Epoch: 1 [27904/46250]	Loss: 1.8101	LR: 0.059669
Training Epoch: 1 [28160/46250]	Loss: 1.5415	LR: 0.060221
Training Epoch: 1 [28416/46250]	Loss: 1.9692	LR: 0.060773
Training Epoch: 1 [28672/46250]	Loss: 1.7012	LR: 0.061326
Training Epoch: 1 [28928/46250]	Loss: 1.7427	LR: 0.061878
Training Epoch: 1 [29184/46250]	Loss: 1.6390	LR: 0.062431
Training Epoch: 1 [29440/46250]	Loss: 1.7566	LR: 0.062983
Training Epoch: 1 [29696/46250]	Loss: 1.6613	LR: 0.063536
Training Epoch: 1 [29952/46250]	Loss: 1.5699	LR: 0.064088
Training Epoch: 1 [30208/46250]	Loss: 1.5861	LR: 0.064641
Training Epoch: 1 [30464/46250]	Loss: 1.6318	LR: 0.065193
Training Epoch: 1 [30720/46250]	Loss: 1.6555	LR: 0.065746
Training Epoch: 1 [30976/46250]	Loss: 1.7481	LR: 0.066298
Training Epoch: 1 [31232/46250]	Loss: 1.6805	LR: 0.066851
Training Epoch: 1 [31488/46250]	Loss: 1.6566	LR: 0.067403
Training Epoch: 1 [31744/46250]	Loss: 1.4754	LR: 0.067956
Training Epoch: 1 [32000/46250]	Loss: 1.5501	LR: 0.068508
Training Epoch: 1 [32256/46250]	Loss: 1.5315	LR: 0.069061
Training Epoch: 1 [32512/46250]	Loss: 1.5139	LR: 0.069613
Training Epoch: 1 [32768/46250]	Loss: 1.5171	LR: 0.070166
Training Epoch: 1 [33024/46250]	Loss: 1.4258	LR: 0.070718
Training Epoch: 1 [33280/46250]	Loss: 1.4355	LR: 0.071271
Training Epoch: 1 [33536/46250]	Loss: 1.5271	LR: 0.071823
Training Epoch: 1 [33792/46250]	Loss: 1.5152	LR: 0.072376
Training Epoch: 1 [34048/46250]	Loss: 1.3984	LR: 0.072928
Training Epoch: 1 [34304/46250]	Loss: 1.5396	LR: 0.073481
Training Epoch: 1 [34560/46250]	Loss: 1.3395	LR: 0.074033
Training Epoch: 1 [34816/46250]	Loss: 1.4904	LR: 0.074586
Training Epoch: 1 [35072/46250]	Loss: 1.5419	LR: 0.075138
Training Epoch: 1 [35328/46250]	Loss: 1.4890	LR: 0.075691
Training Epoch: 1 [35584/46250]	Loss: 1.4672	LR: 0.076243
Training Epoch: 1 [35840/46250]	Loss: 1.5928	LR: 0.076796
Training Epoch: 1 [36096/46250]	Loss: 1.4261	LR: 0.077348
Training Epoch: 1 [36352/46250]	Loss: 1.4650	LR: 0.077901
Training Epoch: 1 [36608/46250]	Loss: 1.3730	LR: 0.078453
Training Epoch: 1 [36864/46250]	Loss: 1.5213	LR: 0.079006
Training Epoch: 1 [37120/46250]	Loss: 1.4708	LR: 0.079558
Training Epoch: 1 [37376/46250]	Loss: 1.5362	LR: 0.080110
Training Epoch: 1 [37632/46250]	Loss: 1.3577	LR: 0.080663
Training Epoch: 1 [37888/46250]	Loss: 1.6076	LR: 0.081215
Training Epoch: 1 [38144/46250]	Loss: 1.5328	LR: 0.081768
Training Epoch: 1 [38400/46250]	Loss: 1.4348	LR: 0.082320
Training Epoch: 1 [38656/46250]	Loss: 1.4273	LR: 0.082873
Training Epoch: 1 [38912/46250]	Loss: 1.3213	LR: 0.083425
Training Epoch: 1 [39168/46250]	Loss: 1.6721	LR: 0.083978
Training Epoch: 1 [39424/46250]	Loss: 1.4404	LR: 0.084530
Training Epoch: 1 [39680/46250]	Loss: 1.5846	LR: 0.085083
Training Epoch: 1 [39936/46250]	Loss: 1.4705	LR: 0.085635
Training Epoch: 1 [40192/46250]	Loss: 1.6807	LR: 0.086188
Training Epoch: 1 [40448/46250]	Loss: 1.5708	LR: 0.086740
Training Epoch: 1 [40704/46250]	Loss: 1.4909	LR: 0.087293
Training Epoch: 1 [40960/46250]	Loss: 1.4846	LR: 0.087845
Training Epoch: 1 [41216/46250]	Loss: 1.6341	LR: 0.088398
Training Epoch: 1 [41472/46250]	Loss: 1.4501	LR: 0.088950
Training Epoch: 1 [41728/46250]	Loss: 1.5273	LR: 0.089503
Training Epoch: 1 [41984/46250]	Loss: 1.5250	LR: 0.090055
Training Epoch: 1 [42240/46250]	Loss: 1.5758	LR: 0.090608
Training Epoch: 1 [42496/46250]	Loss: 1.6220	LR: 0.091160
Training Epoch: 1 [42752/46250]	Loss: 1.5847	LR: 0.091713
Training Epoch: 1 [43008/46250]	Loss: 1.6512	LR: 0.092265
Training Epoch: 1 [43264/46250]	Loss: 1.4861	LR: 0.092818
Training Epoch: 1 [43520/46250]	Loss: 1.4958	LR: 0.093370
Training Epoch: 1 [43776/46250]	Loss: 1.5361	LR: 0.093923
Training Epoch: 1 [44032/46250]	Loss: 1.5728	LR: 0.094475
Training Epoch: 1 [44288/46250]	Loss: 1.3992	LR: 0.095028
Training Epoch: 1 [44544/46250]	Loss: 1.6270	LR: 0.095580
Training Epoch: 1 [44800/46250]	Loss: 1.3435	LR: 0.096133
Training Epoch: 1 [45056/46250]	Loss: 1.6547	LR: 0.096685
Training Epoch: 1 [45312/46250]	Loss: 1.5204	LR: 0.097238
Training Epoch: 1 [45568/46250]	Loss: 1.4506	LR: 0.097790
Training Epoch: 1 [45824/46250]	Loss: 1.3601	LR: 0.098343
Training Epoch: 1 [46080/46250]	Loss: 1.4033	LR: 0.098895
Training Epoch: 1 [46250/46250]	Loss: 1.3423	LR: 0.099448
Epoch 1 - Average Train Loss: 1.7269, Train Accuracy: 0.3731
Epoch 1 training time consumed: 28.13s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0094, Accuracy: 0.3869, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_05h_07m_24s/ResNet18-Cifar10-seed2-ret25-1-best.pth
Training Epoch: 2 [256/46250]	Loss: 1.3996	LR: 0.100000
Training Epoch: 2 [512/46250]	Loss: 1.4206	LR: 0.100000
Training Epoch: 2 [768/46250]	Loss: 1.4041	LR: 0.100000
Training Epoch: 2 [1024/46250]	Loss: 1.4307	LR: 0.100000
Training Epoch: 2 [1280/46250]	Loss: 1.4427	LR: 0.100000
Training Epoch: 2 [1536/46250]	Loss: 1.3558	LR: 0.100000
Training Epoch: 2 [1792/46250]	Loss: 1.4595	LR: 0.100000
Training Epoch: 2 [2048/46250]	Loss: 1.4607	LR: 0.100000
Training Epoch: 2 [2304/46250]	Loss: 1.4838	LR: 0.100000
Training Epoch: 2 [2560/46250]	Loss: 1.4904	LR: 0.100000
Training Epoch: 2 [2816/46250]	Loss: 1.5037	LR: 0.100000
Training Epoch: 2 [3072/46250]	Loss: 1.4273	LR: 0.100000
Training Epoch: 2 [3328/46250]	Loss: 1.3472	LR: 0.100000
Training Epoch: 2 [3584/46250]	Loss: 1.5644	LR: 0.100000
Training Epoch: 2 [3840/46250]	Loss: 1.3891	LR: 0.100000
Training Epoch: 2 [4096/46250]	Loss: 1.3736	LR: 0.100000
Training Epoch: 2 [4352/46250]	Loss: 1.4314	LR: 0.100000
Training Epoch: 2 [4608/46250]	Loss: 1.5367	LR: 0.100000
Training Epoch: 2 [4864/46250]	Loss: 1.4184	LR: 0.100000
Training Epoch: 2 [5120/46250]	Loss: 1.3176	LR: 0.100000
Training Epoch: 2 [5376/46250]	Loss: 1.5569	LR: 0.100000
Training Epoch: 2 [5632/46250]	Loss: 1.3710	LR: 0.100000
Training Epoch: 2 [5888/46250]	Loss: 1.2756	LR: 0.100000
Training Epoch: 2 [6144/46250]	Loss: 1.2524	LR: 0.100000
Training Epoch: 2 [6400/46250]	Loss: 1.3883	LR: 0.100000
Training Epoch: 2 [6656/46250]	Loss: 1.6306	LR: 0.100000
Training Epoch: 2 [6912/46250]	Loss: 1.2684	LR: 0.100000
Training Epoch: 2 [7168/46250]	Loss: 1.2976	LR: 0.100000
Training Epoch: 2 [7424/46250]	Loss: 1.3716	LR: 0.100000
Training Epoch: 2 [7680/46250]	Loss: 1.3824	LR: 0.100000
Training Epoch: 2 [7936/46250]	Loss: 1.3327	LR: 0.100000
Training Epoch: 2 [8192/46250]	Loss: 1.2555	LR: 0.100000
Training Epoch: 2 [8448/46250]	Loss: 1.3695	LR: 0.100000
Training Epoch: 2 [8704/46250]	Loss: 1.3230	LR: 0.100000
Training Epoch: 2 [8960/46250]	Loss: 1.3523	LR: 0.100000
Training Epoch: 2 [9216/46250]	Loss: 1.3681	LR: 0.100000
Training Epoch: 2 [9472/46250]	Loss: 1.3323	LR: 0.100000
Training Epoch: 2 [9728/46250]	Loss: 1.4118	LR: 0.100000
Training Epoch: 2 [9984/46250]	Loss: 1.2838	LR: 0.100000
Training Epoch: 2 [10240/46250]	Loss: 1.2344	LR: 0.100000
Training Epoch: 2 [10496/46250]	Loss: 1.3546	LR: 0.100000
Training Epoch: 2 [10752/46250]	Loss: 1.5544	LR: 0.100000
Training Epoch: 2 [11008/46250]	Loss: 1.4783	LR: 0.100000
Training Epoch: 2 [11264/46250]	Loss: 1.4059	LR: 0.100000
Training Epoch: 2 [11520/46250]	Loss: 1.1735	LR: 0.100000
Training Epoch: 2 [11776/46250]	Loss: 1.4048	LR: 0.100000
Training Epoch: 2 [12032/46250]	Loss: 1.2718	LR: 0.100000
Training Epoch: 2 [12288/46250]	Loss: 1.2508	LR: 0.100000
Training Epoch: 2 [12544/46250]	Loss: 1.5364	LR: 0.100000
Training Epoch: 2 [12800/46250]	Loss: 1.2758	LR: 0.100000
Training Epoch: 2 [13056/46250]	Loss: 1.2761	LR: 0.100000
Training Epoch: 2 [13312/46250]	Loss: 1.4038	LR: 0.100000
Training Epoch: 2 [13568/46250]	Loss: 1.1872	LR: 0.100000
Training Epoch: 2 [13824/46250]	Loss: 1.2139	LR: 0.100000
Training Epoch: 2 [14080/46250]	Loss: 1.5635	LR: 0.100000
Training Epoch: 2 [14336/46250]	Loss: 1.1176	LR: 0.100000
Training Epoch: 2 [14592/46250]	Loss: 1.2276	LR: 0.100000
Training Epoch: 2 [14848/46250]	Loss: 1.3263	LR: 0.100000
Training Epoch: 2 [15104/46250]	Loss: 1.3967	LR: 0.100000
Training Epoch: 2 [15360/46250]	Loss: 1.2669	LR: 0.100000
Training Epoch: 2 [15616/46250]	Loss: 1.4241	LR: 0.100000
Training Epoch: 2 [15872/46250]	Loss: 1.2063	LR: 0.100000
Training Epoch: 2 [16128/46250]	Loss: 1.2789	LR: 0.100000
Training Epoch: 2 [16384/46250]	Loss: 1.2581	LR: 0.100000
Training Epoch: 2 [16640/46250]	Loss: 1.3762	LR: 0.100000
Training Epoch: 2 [16896/46250]	Loss: 1.5007	LR: 0.100000
Training Epoch: 2 [17152/46250]	Loss: 1.2238	LR: 0.100000
Training Epoch: 2 [17408/46250]	Loss: 1.2486	LR: 0.100000
Training Epoch: 2 [17664/46250]	Loss: 1.3483	LR: 0.100000
Training Epoch: 2 [17920/46250]	Loss: 1.3590	LR: 0.100000
Training Epoch: 2 [18176/46250]	Loss: 1.2877	LR: 0.100000
Training Epoch: 2 [18432/46250]	Loss: 1.3091	LR: 0.100000
Training Epoch: 2 [18688/46250]	Loss: 1.0648	LR: 0.100000
Training Epoch: 2 [18944/46250]	Loss: 1.2724	LR: 0.100000
Training Epoch: 2 [19200/46250]	Loss: 1.2860	LR: 0.100000
Training Epoch: 2 [19456/46250]	Loss: 1.4058	LR: 0.100000
Training Epoch: 2 [19712/46250]	Loss: 1.2653	LR: 0.100000
Training Epoch: 2 [19968/46250]	Loss: 1.3049	LR: 0.100000
Training Epoch: 2 [20224/46250]	Loss: 1.1661	LR: 0.100000
Training Epoch: 2 [20480/46250]	Loss: 1.2354	LR: 0.100000
Training Epoch: 2 [20736/46250]	Loss: 1.1823	LR: 0.100000
Training Epoch: 2 [20992/46250]	Loss: 1.2274	LR: 0.100000
Training Epoch: 2 [21248/46250]	Loss: 1.1842	LR: 0.100000
Training Epoch: 2 [21504/46250]	Loss: 1.2868	LR: 0.100000
Training Epoch: 2 [21760/46250]	Loss: 1.3246	LR: 0.100000
Training Epoch: 2 [22016/46250]	Loss: 1.2720	LR: 0.100000
Training Epoch: 2 [22272/46250]	Loss: 1.1458	LR: 0.100000
Training Epoch: 2 [22528/46250]	Loss: 1.2678	LR: 0.100000
Training Epoch: 2 [22784/46250]	Loss: 1.2901	LR: 0.100000
Training Epoch: 2 [23040/46250]	Loss: 1.2022	LR: 0.100000
Training Epoch: 2 [23296/46250]	Loss: 1.2059	LR: 0.100000
Training Epoch: 2 [23552/46250]	Loss: 1.2572	LR: 0.100000
Training Epoch: 2 [23808/46250]	Loss: 1.1456	LR: 0.100000
Training Epoch: 2 [24064/46250]	Loss: 1.1770	LR: 0.100000
Training Epoch: 2 [24320/46250]	Loss: 1.2205	LR: 0.100000
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Training Epoch: 2 [46080/46250]	Loss: 0.9609	LR: 0.100000
Training Epoch: 2 [46250/46250]	Loss: 1.2631	LR: 0.100000
Epoch 2 - Average Train Loss: 1.2473, Train Accuracy: 0.5525
Epoch 2 training time consumed: 27.52s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0047, Accuracy: 0.5767, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_05h_07m_24s/ResNet18-Cifar10-seed2-ret25-2-best.pth
Training Epoch: 3 [256/46250]	Loss: 1.0667	LR: 0.100000
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Training Epoch: 3 [46250/46250]	Loss: 0.8781	LR: 0.100000
Epoch 3 - Average Train Loss: 0.9795, Train Accuracy: 0.6534
Epoch 3 training time consumed: 27.79s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0038, Accuracy: 0.6699, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_05h_07m_24s/ResNet18-Cifar10-seed2-ret25-3-best.pth
Training Epoch: 4 [256/46250]	Loss: 0.8103	LR: 0.100000
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Training Epoch: 4 [46250/46250]	Loss: 0.8355	LR: 0.100000
Epoch 4 - Average Train Loss: 0.8164, Train Accuracy: 0.7137
Epoch 4 training time consumed: 27.66s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0033, Accuracy: 0.7208, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_05h_07m_24s/ResNet18-Cifar10-seed2-ret25-4-best.pth
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Training Epoch: 5 [46250/46250]	Loss: 0.6097	LR: 0.100000
Epoch 5 - Average Train Loss: 0.7166, Train Accuracy: 0.7513
Epoch 5 training time consumed: 28.33s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0031, Accuracy: 0.7346, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_05h_07m_24s/ResNet18-Cifar10-seed2-ret25-5-best.pth
Training Epoch: 6 [256/46250]	Loss: 0.6782	LR: 0.100000
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Training Epoch: 6 [46250/46250]	Loss: 0.7047	LR: 0.100000
Epoch 6 - Average Train Loss: 0.6524, Train Accuracy: 0.7735
Epoch 6 training time consumed: 28.05s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0033, Accuracy: 0.7270, Time consumed:0.98s
Training Epoch: 7 [256/46250]	Loss: 0.5672	LR: 0.100000
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Training Epoch: 7 [46080/46250]	Loss: 0.6361	LR: 0.100000
Training Epoch: 7 [46250/46250]	Loss: 0.5807	LR: 0.100000
Epoch 7 - Average Train Loss: 0.6089, Train Accuracy: 0.7894
Epoch 7 training time consumed: 27.91s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0026, Accuracy: 0.7822, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_05h_07m_24s/ResNet18-Cifar10-seed2-ret25-7-best.pth
Training Epoch: 8 [256/46250]	Loss: 0.5533	LR: 0.020000
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Training Epoch: 8 [46080/46250]	Loss: 0.4099	LR: 0.020000
Training Epoch: 8 [46250/46250]	Loss: 0.3726	LR: 0.020000
Epoch 8 - Average Train Loss: 0.4473, Train Accuracy: 0.8438
Epoch 8 training time consumed: 27.95s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0017, Accuracy: 0.8546, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_05h_07m_24s/ResNet18-Cifar10-seed2-ret25-8-best.pth
Training Epoch: 9 [256/46250]	Loss: 0.3729	LR: 0.020000
Training Epoch: 9 [512/46250]	Loss: 0.4281	LR: 0.020000
Training Epoch: 9 [768/46250]	Loss: 0.3889	LR: 0.020000
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Training Epoch: 9 [40448/46250]	Loss: 0.3265	LR: 0.020000
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Training Epoch: 9 [46080/46250]	Loss: 0.4083	LR: 0.020000
Training Epoch: 9 [46250/46250]	Loss: 0.3657	LR: 0.020000
Epoch 9 - Average Train Loss: 0.4058, Train Accuracy: 0.8583
Epoch 9 training time consumed: 28.02s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0016, Accuracy: 0.8594, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_05h_07m_24s/ResNet18-Cifar10-seed2-ret25-9-best.pth
Training Epoch: 10 [256/46250]	Loss: 0.3524	LR: 0.020000
Training Epoch: 10 [512/46250]	Loss: 0.4588	LR: 0.020000
Training Epoch: 10 [768/46250]	Loss: 0.4457	LR: 0.020000
Training Epoch: 10 [1024/46250]	Loss: 0.3749	LR: 0.020000
Training Epoch: 10 [1280/46250]	Loss: 0.4133	LR: 0.020000
Training Epoch: 10 [1536/46250]	Loss: 0.3337	LR: 0.020000
Training Epoch: 10 [1792/46250]	Loss: 0.4096	LR: 0.020000
Training Epoch: 10 [2048/46250]	Loss: 0.3384	LR: 0.020000
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Training Epoch: 10 [2816/46250]	Loss: 0.3420	LR: 0.020000
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Training Epoch: 10 [4608/46250]	Loss: 0.4071	LR: 0.020000
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Training Epoch: 10 [24576/46250]	Loss: 0.2933	LR: 0.020000
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Training Epoch: 10 [25344/46250]	Loss: 0.4174	LR: 0.020000
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Training Epoch: 10 [43520/46250]	Loss: 0.3462	LR: 0.020000
Training Epoch: 10 [43776/46250]	Loss: 0.3189	LR: 0.020000
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Training Epoch: 10 [45056/46250]	Loss: 0.3288	LR: 0.020000
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Training Epoch: 10 [46080/46250]	Loss: 0.3135	LR: 0.020000
Training Epoch: 10 [46250/46250]	Loss: 0.2901	LR: 0.020000
Epoch 10 - Average Train Loss: 0.3794, Train Accuracy: 0.8681
Epoch 10 training time consumed: 27.96s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0016, Accuracy: 0.8695, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_05h_07m_24s/ResNet18-Cifar10-seed2-ret25-10-best.pth
Training Epoch: 11 [256/46250]	Loss: 0.3712	LR: 0.020000
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Training Epoch: 11 [768/46250]	Loss: 0.3754	LR: 0.020000
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Training Epoch: 11 [42496/46250]	Loss: 0.3953	LR: 0.020000
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Training Epoch: 11 [43776/46250]	Loss: 0.2779	LR: 0.020000
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Training Epoch: 11 [44800/46250]	Loss: 0.3660	LR: 0.020000
Training Epoch: 11 [45056/46250]	Loss: 0.3756	LR: 0.020000
Training Epoch: 11 [45312/46250]	Loss: 0.3843	LR: 0.020000
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Training Epoch: 11 [46080/46250]	Loss: 0.4162	LR: 0.020000
Training Epoch: 11 [46250/46250]	Loss: 0.4172	LR: 0.020000
Epoch 11 - Average Train Loss: 0.3661, Train Accuracy: 0.8721
Epoch 11 training time consumed: 28.03s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0016, Accuracy: 0.8660, Time consumed:0.99s
Training Epoch: 12 [256/46250]	Loss: 0.2957	LR: 0.004000
Training Epoch: 12 [512/46250]	Loss: 0.3543	LR: 0.004000
Training Epoch: 12 [768/46250]	Loss: 0.3218	LR: 0.004000
Training Epoch: 12 [1024/46250]	Loss: 0.3237	LR: 0.004000
Training Epoch: 12 [1280/46250]	Loss: 0.3797	LR: 0.004000
Training Epoch: 12 [1536/46250]	Loss: 0.3646	LR: 0.004000
Training Epoch: 12 [1792/46250]	Loss: 0.3451	LR: 0.004000
Training Epoch: 12 [2048/46250]	Loss: 0.3778	LR: 0.004000
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Training Epoch: 12 [2560/46250]	Loss: 0.3489	LR: 0.004000
Training Epoch: 12 [2816/46250]	Loss: 0.3344	LR: 0.004000
Training Epoch: 12 [3072/46250]	Loss: 0.4026	LR: 0.004000
Training Epoch: 12 [3328/46250]	Loss: 0.3289	LR: 0.004000
Training Epoch: 12 [3584/46250]	Loss: 0.3350	LR: 0.004000
Training Epoch: 12 [3840/46250]	Loss: 0.3436	LR: 0.004000
Training Epoch: 12 [4096/46250]	Loss: 0.3365	LR: 0.004000
Training Epoch: 12 [4352/46250]	Loss: 0.3747	LR: 0.004000
Training Epoch: 12 [4608/46250]	Loss: 0.3923	LR: 0.004000
Training Epoch: 12 [4864/46250]	Loss: 0.3260	LR: 0.004000
Training Epoch: 12 [5120/46250]	Loss: 0.2757	LR: 0.004000
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Training Epoch: 12 [44288/46250]	Loss: 0.2487	LR: 0.004000
Training Epoch: 12 [44544/46250]	Loss: 0.3474	LR: 0.004000
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Training Epoch: 12 [46080/46250]	Loss: 0.3012	LR: 0.004000
Training Epoch: 12 [46250/46250]	Loss: 0.2810	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3218, Train Accuracy: 0.8888
Epoch 12 training time consumed: 27.88s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0014, Accuracy: 0.8826, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_05h_07m_24s/ResNet18-Cifar10-seed2-ret25-12-best.pth
Training Epoch: 13 [256/46250]	Loss: 0.2722	LR: 0.004000
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Training Epoch: 13 [32000/46250]	Loss: 0.2853	LR: 0.004000
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Training Epoch: 13 [41984/46250]	Loss: 0.3400	LR: 0.004000
Training Epoch: 13 [42240/46250]	Loss: 0.2568	LR: 0.004000
Training Epoch: 13 [42496/46250]	Loss: 0.3143	LR: 0.004000
Training Epoch: 13 [42752/46250]	Loss: 0.3463	LR: 0.004000
Training Epoch: 13 [43008/46250]	Loss: 0.3428	LR: 0.004000
Training Epoch: 13 [43264/46250]	Loss: 0.3237	LR: 0.004000
Training Epoch: 13 [43520/46250]	Loss: 0.3747	LR: 0.004000
Training Epoch: 13 [43776/46250]	Loss: 0.3432	LR: 0.004000
Training Epoch: 13 [44032/46250]	Loss: 0.3416	LR: 0.004000
Training Epoch: 13 [44288/46250]	Loss: 0.2288	LR: 0.004000
Training Epoch: 13 [44544/46250]	Loss: 0.3088	LR: 0.004000
Training Epoch: 13 [44800/46250]	Loss: 0.3333	LR: 0.004000
Training Epoch: 13 [45056/46250]	Loss: 0.2985	LR: 0.004000
Training Epoch: 13 [45312/46250]	Loss: 0.2896	LR: 0.004000
Training Epoch: 13 [45568/46250]	Loss: 0.2782	LR: 0.004000
Training Epoch: 13 [45824/46250]	Loss: 0.2359	LR: 0.004000
Training Epoch: 13 [46080/46250]	Loss: 0.2667	LR: 0.004000
Training Epoch: 13 [46250/46250]	Loss: 0.3912	LR: 0.004000
Epoch 13 - Average Train Loss: 0.3041, Train Accuracy: 0.8955
Epoch 13 training time consumed: 28.02s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0014, Accuracy: 0.8843, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_05h_07m_24s/ResNet18-Cifar10-seed2-ret25-13-best.pth
Training Epoch: 14 [256/46250]	Loss: 0.3268	LR: 0.004000
Training Epoch: 14 [512/46250]	Loss: 0.2663	LR: 0.004000
Training Epoch: 14 [768/46250]	Loss: 0.2545	LR: 0.004000
Training Epoch: 14 [1024/46250]	Loss: 0.3040	LR: 0.004000
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Training Epoch: 14 [1536/46250]	Loss: 0.2850	LR: 0.004000
Training Epoch: 14 [1792/46250]	Loss: 0.3046	LR: 0.004000
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Training Epoch: 14 [42496/46250]	Loss: 0.2888	LR: 0.004000
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Training Epoch: 14 [44032/46250]	Loss: 0.3300	LR: 0.004000
Training Epoch: 14 [44288/46250]	Loss: 0.2247	LR: 0.004000
Training Epoch: 14 [44544/46250]	Loss: 0.4063	LR: 0.004000
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Training Epoch: 14 [45056/46250]	Loss: 0.2860	LR: 0.004000
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Training Epoch: 14 [46080/46250]	Loss: 0.2508	LR: 0.004000
Training Epoch: 14 [46250/46250]	Loss: 0.2183	LR: 0.004000
Epoch 14 - Average Train Loss: 0.2974, Train Accuracy: 0.8968
Epoch 14 training time consumed: 27.91s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0014, Accuracy: 0.8853, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_05h_07m_24s/ResNet18-Cifar10-seed2-ret25-14-best.pth
Training Epoch: 15 [256/46250]	Loss: 0.2882	LR: 0.004000
Training Epoch: 15 [512/46250]	Loss: 0.2537	LR: 0.004000
Training Epoch: 15 [768/46250]	Loss: 0.2362	LR: 0.004000
Training Epoch: 15 [1024/46250]	Loss: 0.3782	LR: 0.004000
Training Epoch: 15 [1280/46250]	Loss: 0.2719	LR: 0.004000
Training Epoch: 15 [1536/46250]	Loss: 0.2428	LR: 0.004000
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Training Epoch: 15 [43520/46250]	Loss: 0.2331	LR: 0.004000
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Training Epoch: 15 [44032/46250]	Loss: 0.2297	LR: 0.004000
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Training Epoch: 15 [46080/46250]	Loss: 0.3859	LR: 0.004000
Training Epoch: 15 [46250/46250]	Loss: 0.2111	LR: 0.004000
Epoch 15 - Average Train Loss: 0.2878, Train Accuracy: 0.8996
Epoch 15 training time consumed: 28.16s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0014, Accuracy: 0.8868, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_05h_07m_24s/ResNet18-Cifar10-seed2-ret25-15-best.pth
Training Epoch: 16 [256/46250]	Loss: 0.2488	LR: 0.000800
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Training Epoch: 16 [38144/46250]	Loss: 0.2625	LR: 0.000800
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Training Epoch: 16 [40448/46250]	Loss: 0.3223	LR: 0.000800
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Training Epoch: 16 [41728/46250]	Loss: 0.2589	LR: 0.000800
Training Epoch: 16 [41984/46250]	Loss: 0.2360	LR: 0.000800
Training Epoch: 16 [42240/46250]	Loss: 0.2528	LR: 0.000800
Training Epoch: 16 [42496/46250]	Loss: 0.2439	LR: 0.000800
Training Epoch: 16 [42752/46250]	Loss: 0.2994	LR: 0.000800
Training Epoch: 16 [43008/46250]	Loss: 0.2232	LR: 0.000800
Training Epoch: 16 [43264/46250]	Loss: 0.2514	LR: 0.000800
Training Epoch: 16 [43520/46250]	Loss: 0.2813	LR: 0.000800
Training Epoch: 16 [43776/46250]	Loss: 0.2975	LR: 0.000800
Training Epoch: 16 [44032/46250]	Loss: 0.2192	LR: 0.000800
Training Epoch: 16 [44288/46250]	Loss: 0.3235	LR: 0.000800
Training Epoch: 16 [44544/46250]	Loss: 0.2710	LR: 0.000800
Training Epoch: 16 [44800/46250]	Loss: 0.3702	LR: 0.000800
Training Epoch: 16 [45056/46250]	Loss: 0.2926	LR: 0.000800
Training Epoch: 16 [45312/46250]	Loss: 0.2459	LR: 0.000800
Training Epoch: 16 [45568/46250]	Loss: 0.3071	LR: 0.000800
Training Epoch: 16 [45824/46250]	Loss: 0.2539	LR: 0.000800
Training Epoch: 16 [46080/46250]	Loss: 0.2569	LR: 0.000800
Training Epoch: 16 [46250/46250]	Loss: 0.3067	LR: 0.000800
Epoch 16 - Average Train Loss: 0.2802, Train Accuracy: 0.9024
Epoch 16 training time consumed: 27.94s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0013, Accuracy: 0.8885, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_05h_07m_24s/ResNet18-Cifar10-seed2-ret25-16-best.pth
Training Epoch: 17 [256/46250]	Loss: 0.2677	LR: 0.000800
Training Epoch: 17 [512/46250]	Loss: 0.2370	LR: 0.000800
Training Epoch: 17 [768/46250]	Loss: 0.2152	LR: 0.000800
Training Epoch: 17 [1024/46250]	Loss: 0.3038	LR: 0.000800
Training Epoch: 17 [1280/46250]	Loss: 0.2380	LR: 0.000800
Training Epoch: 17 [1536/46250]	Loss: 0.3012	LR: 0.000800
Training Epoch: 17 [1792/46250]	Loss: 0.3330	LR: 0.000800
Training Epoch: 17 [2048/46250]	Loss: 0.2680	LR: 0.000800
Training Epoch: 17 [2304/46250]	Loss: 0.2231	LR: 0.000800
Training Epoch: 17 [2560/46250]	Loss: 0.2741	LR: 0.000800
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Training Epoch: 17 [3072/46250]	Loss: 0.2199	LR: 0.000800
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Training Epoch: 17 [5632/46250]	Loss: 0.2850	LR: 0.000800
Training Epoch: 17 [5888/46250]	Loss: 0.3036	LR: 0.000800
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Training Epoch: 17 [7936/46250]	Loss: 0.3586	LR: 0.000800
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Training Epoch: 17 [8448/46250]	Loss: 0.2833	LR: 0.000800
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Training Epoch: 17 [11008/46250]	Loss: 0.2886	LR: 0.000800
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Training Epoch: 17 [40448/46250]	Loss: 0.3024	LR: 0.000800
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Training Epoch: 17 [40960/46250]	Loss: 0.2818	LR: 0.000800
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Training Epoch: 17 [42496/46250]	Loss: 0.2869	LR: 0.000800
Training Epoch: 17 [42752/46250]	Loss: 0.2661	LR: 0.000800
Training Epoch: 17 [43008/46250]	Loss: 0.3542	LR: 0.000800
Training Epoch: 17 [43264/46250]	Loss: 0.2825	LR: 0.000800
Training Epoch: 17 [43520/46250]	Loss: 0.2811	LR: 0.000800
Training Epoch: 17 [43776/46250]	Loss: 0.2832	LR: 0.000800
Training Epoch: 17 [44032/46250]	Loss: 0.2763	LR: 0.000800
Training Epoch: 17 [44288/46250]	Loss: 0.2691	LR: 0.000800
Training Epoch: 17 [44544/46250]	Loss: 0.1931	LR: 0.000800
Training Epoch: 17 [44800/46250]	Loss: 0.2589	LR: 0.000800
Training Epoch: 17 [45056/46250]	Loss: 0.2857	LR: 0.000800
Training Epoch: 17 [45312/46250]	Loss: 0.2540	LR: 0.000800
Training Epoch: 17 [45568/46250]	Loss: 0.3021	LR: 0.000800
Training Epoch: 17 [45824/46250]	Loss: 0.3340	LR: 0.000800
Training Epoch: 17 [46080/46250]	Loss: 0.2777	LR: 0.000800
Training Epoch: 17 [46250/46250]	Loss: 0.3546	LR: 0.000800
Epoch 17 - Average Train Loss: 0.2763, Train Accuracy: 0.9040
Epoch 17 training time consumed: 28.17s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0013, Accuracy: 0.8905, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_05h_07m_24s/ResNet18-Cifar10-seed2-ret25-17-best.pth
Training Epoch: 18 [256/46250]	Loss: 0.2579	LR: 0.000800
Training Epoch: 18 [512/46250]	Loss: 0.3239	LR: 0.000800
Training Epoch: 18 [768/46250]	Loss: 0.2138	LR: 0.000800
Training Epoch: 18 [1024/46250]	Loss: 0.3743	LR: 0.000800
Training Epoch: 18 [1280/46250]	Loss: 0.2481	LR: 0.000800
Training Epoch: 18 [1536/46250]	Loss: 0.2601	LR: 0.000800
Training Epoch: 18 [1792/46250]	Loss: 0.2138	LR: 0.000800
Training Epoch: 18 [2048/46250]	Loss: 0.2199	LR: 0.000800
Training Epoch: 18 [2304/46250]	Loss: 0.2375	LR: 0.000800
Training Epoch: 18 [2560/46250]	Loss: 0.2511	LR: 0.000800
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Training Epoch: 18 [3328/46250]	Loss: 0.3295	LR: 0.000800
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Training Epoch: 18 [4864/46250]	Loss: 0.2991	LR: 0.000800
Training Epoch: 18 [5120/46250]	Loss: 0.2944	LR: 0.000800
Training Epoch: 18 [5376/46250]	Loss: 0.2824	LR: 0.000800
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Training Epoch: 18 [17408/46250]	Loss: 0.3413	LR: 0.000800
Training Epoch: 18 [17664/46250]	Loss: 0.2723	LR: 0.000800
Training Epoch: 18 [17920/46250]	Loss: 0.3480	LR: 0.000800
Training Epoch: 18 [18176/46250]	Loss: 0.2663	LR: 0.000800
Training Epoch: 18 [18432/46250]	Loss: 0.2547	LR: 0.000800
Training Epoch: 18 [18688/46250]	Loss: 0.2784	LR: 0.000800
Training Epoch: 18 [18944/46250]	Loss: 0.2649	LR: 0.000800
Training Epoch: 18 [19200/46250]	Loss: 0.2496	LR: 0.000800
Training Epoch: 18 [19456/46250]	Loss: 0.2532	LR: 0.000800
Training Epoch: 18 [19712/46250]	Loss: 0.3299	LR: 0.000800
Training Epoch: 18 [19968/46250]	Loss: 0.2327	LR: 0.000800
Training Epoch: 18 [20224/46250]	Loss: 0.2667	LR: 0.000800
Training Epoch: 18 [20480/46250]	Loss: 0.2374	LR: 0.000800
Training Epoch: 18 [20736/46250]	Loss: 0.3160	LR: 0.000800
Training Epoch: 18 [20992/46250]	Loss: 0.2533	LR: 0.000800
Training Epoch: 18 [21248/46250]	Loss: 0.2523	LR: 0.000800
Training Epoch: 18 [21504/46250]	Loss: 0.3043	LR: 0.000800
Training Epoch: 18 [21760/46250]	Loss: 0.2778	LR: 0.000800
Training Epoch: 18 [22016/46250]	Loss: 0.2999	LR: 0.000800
Training Epoch: 18 [22272/46250]	Loss: 0.1890	LR: 0.000800
Training Epoch: 18 [22528/46250]	Loss: 0.2078	LR: 0.000800
Training Epoch: 18 [22784/46250]	Loss: 0.2471	LR: 0.000800
Training Epoch: 18 [23040/46250]	Loss: 0.2619	LR: 0.000800
Training Epoch: 18 [23296/46250]	Loss: 0.2352	LR: 0.000800
Training Epoch: 18 [23552/46250]	Loss: 0.2992	LR: 0.000800
Training Epoch: 18 [23808/46250]	Loss: 0.2676	LR: 0.000800
Training Epoch: 18 [24064/46250]	Loss: 0.2413	LR: 0.000800
Training Epoch: 18 [24320/46250]	Loss: 0.2363	LR: 0.000800
Training Epoch: 18 [24576/46250]	Loss: 0.2315	LR: 0.000800
Training Epoch: 18 [24832/46250]	Loss: 0.2738	LR: 0.000800
Training Epoch: 18 [25088/46250]	Loss: 0.2858	LR: 0.000800
Training Epoch: 18 [25344/46250]	Loss: 0.3175	LR: 0.000800
Training Epoch: 18 [25600/46250]	Loss: 0.2130	LR: 0.000800
Training Epoch: 18 [25856/46250]	Loss: 0.1971	LR: 0.000800
Training Epoch: 18 [26112/46250]	Loss: 0.2504	LR: 0.000800
Training Epoch: 18 [26368/46250]	Loss: 0.3016	LR: 0.000800
Training Epoch: 18 [26624/46250]	Loss: 0.2980	LR: 0.000800
Training Epoch: 18 [26880/46250]	Loss: 0.3478	LR: 0.000800
Training Epoch: 18 [27136/46250]	Loss: 0.3755	LR: 0.000800
Training Epoch: 18 [27392/46250]	Loss: 0.2520	LR: 0.000800
Training Epoch: 18 [27648/46250]	Loss: 0.2822	LR: 0.000800
Training Epoch: 18 [27904/46250]	Loss: 0.3239	LR: 0.000800
Training Epoch: 18 [28160/46250]	Loss: 0.2610	LR: 0.000800
Training Epoch: 18 [28416/46250]	Loss: 0.3047	LR: 0.000800
Training Epoch: 18 [28672/46250]	Loss: 0.3886	LR: 0.000800
Training Epoch: 18 [28928/46250]	Loss: 0.3365	LR: 0.000800
Training Epoch: 18 [29184/46250]	Loss: 0.2548	LR: 0.000800
Training Epoch: 18 [29440/46250]	Loss: 0.2747	LR: 0.000800
Training Epoch: 18 [29696/46250]	Loss: 0.2142	LR: 0.000800
Training Epoch: 18 [29952/46250]	Loss: 0.3863	LR: 0.000800
Training Epoch: 18 [30208/46250]	Loss: 0.2080	LR: 0.000800
Training Epoch: 18 [30464/46250]	Loss: 0.2975	LR: 0.000800
Training Epoch: 18 [30720/46250]	Loss: 0.2554	LR: 0.000800
Training Epoch: 18 [30976/46250]	Loss: 0.2250	LR: 0.000800
Training Epoch: 18 [31232/46250]	Loss: 0.2747	LR: 0.000800
Training Epoch: 18 [31488/46250]	Loss: 0.2742	LR: 0.000800
Training Epoch: 18 [31744/46250]	Loss: 0.3479	LR: 0.000800
Training Epoch: 18 [32000/46250]	Loss: 0.2098	LR: 0.000800
Training Epoch: 18 [32256/46250]	Loss: 0.3089	LR: 0.000800
Training Epoch: 18 [32512/46250]	Loss: 0.2072	LR: 0.000800
Training Epoch: 18 [32768/46250]	Loss: 0.2637	LR: 0.000800
Training Epoch: 18 [33024/46250]	Loss: 0.2763	LR: 0.000800
Training Epoch: 18 [33280/46250]	Loss: 0.2198	LR: 0.000800
Training Epoch: 18 [33536/46250]	Loss: 0.2329	LR: 0.000800
Training Epoch: 18 [33792/46250]	Loss: 0.2448	LR: 0.000800
Training Epoch: 18 [34048/46250]	Loss: 0.2340	LR: 0.000800
Training Epoch: 18 [34304/46250]	Loss: 0.3006	LR: 0.000800
Training Epoch: 18 [34560/46250]	Loss: 0.3382	LR: 0.000800
Training Epoch: 18 [34816/46250]	Loss: 0.2478	LR: 0.000800
Training Epoch: 18 [35072/46250]	Loss: 0.3008	LR: 0.000800
Training Epoch: 18 [35328/46250]	Loss: 0.3341	LR: 0.000800
Training Epoch: 18 [35584/46250]	Loss: 0.2995	LR: 0.000800
Training Epoch: 18 [35840/46250]	Loss: 0.3298	LR: 0.000800
Training Epoch: 18 [36096/46250]	Loss: 0.2565	LR: 0.000800
Training Epoch: 18 [36352/46250]	Loss: 0.2959	LR: 0.000800
Training Epoch: 18 [36608/46250]	Loss: 0.2547	LR: 0.000800
Training Epoch: 18 [36864/46250]	Loss: 0.2772	LR: 0.000800
Training Epoch: 18 [37120/46250]	Loss: 0.3265	LR: 0.000800
Training Epoch: 18 [37376/46250]	Loss: 0.3041	LR: 0.000800
Training Epoch: 18 [37632/46250]	Loss: 0.2838	LR: 0.000800
Training Epoch: 18 [37888/46250]	Loss: 0.3176	LR: 0.000800
Training Epoch: 18 [38144/46250]	Loss: 0.2666	LR: 0.000800
Training Epoch: 18 [38400/46250]	Loss: 0.2735	LR: 0.000800
Training Epoch: 18 [38656/46250]	Loss: 0.2716	LR: 0.000800
Training Epoch: 18 [38912/46250]	Loss: 0.2527	LR: 0.000800
Training Epoch: 18 [39168/46250]	Loss: 0.3627	LR: 0.000800
Training Epoch: 18 [39424/46250]	Loss: 0.3356	LR: 0.000800
Training Epoch: 18 [39680/46250]	Loss: 0.2536	LR: 0.000800
Training Epoch: 18 [39936/46250]	Loss: 0.2513	LR: 0.000800
Training Epoch: 18 [40192/46250]	Loss: 0.3079	LR: 0.000800
Training Epoch: 18 [40448/46250]	Loss: 0.3119	LR: 0.000800
Training Epoch: 18 [40704/46250]	Loss: 0.2284	LR: 0.000800
Training Epoch: 18 [40960/46250]	Loss: 0.3021	LR: 0.000800
Training Epoch: 18 [41216/46250]	Loss: 0.2627	LR: 0.000800
Training Epoch: 18 [41472/46250]	Loss: 0.2997	LR: 0.000800
Training Epoch: 18 [41728/46250]	Loss: 0.2752	LR: 0.000800
Training Epoch: 18 [41984/46250]	Loss: 0.2387	LR: 0.000800
Training Epoch: 18 [42240/46250]	Loss: 0.2457	LR: 0.000800
Training Epoch: 18 [42496/46250]	Loss: 0.2078	LR: 0.000800
Training Epoch: 18 [42752/46250]	Loss: 0.2429	LR: 0.000800
Training Epoch: 18 [43008/46250]	Loss: 0.2623	LR: 0.000800
Training Epoch: 18 [43264/46250]	Loss: 0.3256	LR: 0.000800
Training Epoch: 18 [43520/46250]	Loss: 0.3449	LR: 0.000800
Training Epoch: 18 [43776/46250]	Loss: 0.2315	LR: 0.000800
Training Epoch: 18 [44032/46250]	Loss: 0.3297	LR: 0.000800
Training Epoch: 18 [44288/46250]	Loss: 0.3171	LR: 0.000800
Training Epoch: 18 [44544/46250]	Loss: 0.2608	LR: 0.000800
Training Epoch: 18 [44800/46250]	Loss: 0.2678	LR: 0.000800
Training Epoch: 18 [45056/46250]	Loss: 0.4429	LR: 0.000800
Training Epoch: 18 [45312/46250]	Loss: 0.1933	LR: 0.000800
Training Epoch: 18 [45568/46250]	Loss: 0.2658	LR: 0.000800
Training Epoch: 18 [45824/46250]	Loss: 0.3337	LR: 0.000800
Training Epoch: 18 [46080/46250]	Loss: 0.3039	LR: 0.000800
Training Epoch: 18 [46250/46250]	Loss: 0.2685	LR: 0.000800
Epoch 18 - Average Train Loss: 0.2726, Train Accuracy: 0.9070
Epoch 18 training time consumed: 28.15s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0013, Accuracy: 0.8903, Time consumed:0.97s
Training Epoch: 19 [256/46250]	Loss: 0.2804	LR: 0.000800
Training Epoch: 19 [512/46250]	Loss: 0.1880	LR: 0.000800
Training Epoch: 19 [768/46250]	Loss: 0.2997	LR: 0.000800
Training Epoch: 19 [1024/46250]	Loss: 0.3255	LR: 0.000800
Training Epoch: 19 [1280/46250]	Loss: 0.2211	LR: 0.000800
Training Epoch: 19 [1536/46250]	Loss: 0.2570	LR: 0.000800
Training Epoch: 19 [1792/46250]	Loss: 0.2794	LR: 0.000800
Training Epoch: 19 [2048/46250]	Loss: 0.2244	LR: 0.000800
Training Epoch: 19 [2304/46250]	Loss: 0.2366	LR: 0.000800
Training Epoch: 19 [2560/46250]	Loss: 0.2424	LR: 0.000800
Training Epoch: 19 [2816/46250]	Loss: 0.2479	LR: 0.000800
Training Epoch: 19 [3072/46250]	Loss: 0.2795	LR: 0.000800
Training Epoch: 19 [3328/46250]	Loss: 0.2062	LR: 0.000800
Training Epoch: 19 [3584/46250]	Loss: 0.2842	LR: 0.000800
Training Epoch: 19 [3840/46250]	Loss: 0.2198	LR: 0.000800
Training Epoch: 19 [4096/46250]	Loss: 0.3224	LR: 0.000800
Training Epoch: 19 [4352/46250]	Loss: 0.3152	LR: 0.000800
Training Epoch: 19 [4608/46250]	Loss: 0.2884	LR: 0.000800
Training Epoch: 19 [4864/46250]	Loss: 0.3287	LR: 0.000800
Training Epoch: 19 [5120/46250]	Loss: 0.3000	LR: 0.000800
Training Epoch: 19 [5376/46250]	Loss: 0.2760	LR: 0.000800
Training Epoch: 19 [5632/46250]	Loss: 0.2008	LR: 0.000800
Training Epoch: 19 [5888/46250]	Loss: 0.3727	LR: 0.000800
Training Epoch: 19 [6144/46250]	Loss: 0.3428	LR: 0.000800
Training Epoch: 19 [6400/46250]	Loss: 0.3044	LR: 0.000800
Training Epoch: 19 [6656/46250]	Loss: 0.2304	LR: 0.000800
Training Epoch: 19 [6912/46250]	Loss: 0.2298	LR: 0.000800
Training Epoch: 19 [7168/46250]	Loss: 0.2929	LR: 0.000800
Training Epoch: 19 [7424/46250]	Loss: 0.2494	LR: 0.000800
Training Epoch: 19 [7680/46250]	Loss: 0.2673	LR: 0.000800
Training Epoch: 19 [7936/46250]	Loss: 0.3409	LR: 0.000800
Training Epoch: 19 [8192/46250]	Loss: 0.2907	LR: 0.000800
Training Epoch: 19 [8448/46250]	Loss: 0.2249	LR: 0.000800
Training Epoch: 19 [8704/46250]	Loss: 0.2528	LR: 0.000800
Training Epoch: 19 [8960/46250]	Loss: 0.2720	LR: 0.000800
Training Epoch: 19 [9216/46250]	Loss: 0.2704	LR: 0.000800
Training Epoch: 19 [9472/46250]	Loss: 0.2983	LR: 0.000800
Training Epoch: 19 [9728/46250]	Loss: 0.2819	LR: 0.000800
Training Epoch: 19 [9984/46250]	Loss: 0.3073	LR: 0.000800
Training Epoch: 19 [10240/46250]	Loss: 0.2463	LR: 0.000800
Training Epoch: 19 [10496/46250]	Loss: 0.3499	LR: 0.000800
Training Epoch: 19 [10752/46250]	Loss: 0.3243	LR: 0.000800
Training Epoch: 19 [11008/46250]	Loss: 0.2426	LR: 0.000800
Training Epoch: 19 [11264/46250]	Loss: 0.2806	LR: 0.000800
Training Epoch: 19 [11520/46250]	Loss: 0.2871	LR: 0.000800
Training Epoch: 19 [11776/46250]	Loss: 0.2742	LR: 0.000800
Training Epoch: 19 [12032/46250]	Loss: 0.3357	LR: 0.000800
Training Epoch: 19 [12288/46250]	Loss: 0.2568	LR: 0.000800
Training Epoch: 19 [12544/46250]	Loss: 0.2861	LR: 0.000800
Training Epoch: 19 [12800/46250]	Loss: 0.3296	LR: 0.000800
Training Epoch: 19 [13056/46250]	Loss: 0.2412	LR: 0.000800
Training Epoch: 19 [13312/46250]	Loss: 0.2727	LR: 0.000800
Training Epoch: 19 [13568/46250]	Loss: 0.3006	LR: 0.000800
Training Epoch: 19 [13824/46250]	Loss: 0.2641	LR: 0.000800
Training Epoch: 19 [14080/46250]	Loss: 0.2900	LR: 0.000800
Training Epoch: 19 [14336/46250]	Loss: 0.1933	LR: 0.000800
Training Epoch: 19 [14592/46250]	Loss: 0.2574	LR: 0.000800
Training Epoch: 19 [14848/46250]	Loss: 0.2937	LR: 0.000800
Training Epoch: 19 [15104/46250]	Loss: 0.2575	LR: 0.000800
Training Epoch: 19 [15360/46250]	Loss: 0.2999	LR: 0.000800
Training Epoch: 19 [15616/46250]	Loss: 0.2440	LR: 0.000800
Training Epoch: 19 [15872/46250]	Loss: 0.1953	LR: 0.000800
Training Epoch: 19 [16128/46250]	Loss: 0.2962	LR: 0.000800
Training Epoch: 19 [16384/46250]	Loss: 0.2776	LR: 0.000800
Training Epoch: 19 [16640/46250]	Loss: 0.2562	LR: 0.000800
Training Epoch: 19 [16896/46250]	Loss: 0.3161	LR: 0.000800
Training Epoch: 19 [17152/46250]	Loss: 0.2006	LR: 0.000800
Training Epoch: 19 [17408/46250]	Loss: 0.2161	LR: 0.000800
Training Epoch: 19 [17664/46250]	Loss: 0.2498	LR: 0.000800
Training Epoch: 19 [17920/46250]	Loss: 0.2637	LR: 0.000800
Training Epoch: 19 [18176/46250]	Loss: 0.1737	LR: 0.000800
Training Epoch: 19 [18432/46250]	Loss: 0.2957	LR: 0.000800
Training Epoch: 19 [18688/46250]	Loss: 0.1787	LR: 0.000800
Training Epoch: 19 [18944/46250]	Loss: 0.1814	LR: 0.000800
Training Epoch: 19 [19200/46250]	Loss: 0.2258	LR: 0.000800
Training Epoch: 19 [19456/46250]	Loss: 0.2422	LR: 0.000800
Training Epoch: 19 [19712/46250]	Loss: 0.2383	LR: 0.000800
Training Epoch: 19 [19968/46250]	Loss: 0.3165	LR: 0.000800
Training Epoch: 19 [20224/46250]	Loss: 0.2960	LR: 0.000800
Training Epoch: 19 [20480/46250]	Loss: 0.2487	LR: 0.000800
Training Epoch: 19 [20736/46250]	Loss: 0.2617	LR: 0.000800
Training Epoch: 19 [20992/46250]	Loss: 0.2786	LR: 0.000800
Training Epoch: 19 [21248/46250]	Loss: 0.2954	LR: 0.000800
Training Epoch: 19 [21504/46250]	Loss: 0.2894	LR: 0.000800
Training Epoch: 19 [21760/46250]	Loss: 0.2327	LR: 0.000800
Training Epoch: 19 [22016/46250]	Loss: 0.2876	LR: 0.000800
Training Epoch: 19 [22272/46250]	Loss: 0.2591	LR: 0.000800
Training Epoch: 19 [22528/46250]	Loss: 0.2243	LR: 0.000800
Training Epoch: 19 [22784/46250]	Loss: 0.2627	LR: 0.000800
Training Epoch: 19 [23040/46250]	Loss: 0.3448	LR: 0.000800
Training Epoch: 19 [23296/46250]	Loss: 0.2855	LR: 0.000800
Training Epoch: 19 [23552/46250]	Loss: 0.2527	LR: 0.000800
Training Epoch: 19 [23808/46250]	Loss: 0.2843	LR: 0.000800
Training Epoch: 19 [24064/46250]	Loss: 0.2713	LR: 0.000800
Training Epoch: 19 [24320/46250]	Loss: 0.2144	LR: 0.000800
Training Epoch: 19 [24576/46250]	Loss: 0.2047	LR: 0.000800
Training Epoch: 19 [24832/46250]	Loss: 0.1968	LR: 0.000800
Training Epoch: 19 [25088/46250]	Loss: 0.3110	LR: 0.000800
Training Epoch: 19 [25344/46250]	Loss: 0.3344	LR: 0.000800
Training Epoch: 19 [25600/46250]	Loss: 0.2017	LR: 0.000800
Training Epoch: 19 [25856/46250]	Loss: 0.3025	LR: 0.000800
Training Epoch: 19 [26112/46250]	Loss: 0.3266	LR: 0.000800
Training Epoch: 19 [26368/46250]	Loss: 0.2759	LR: 0.000800
Training Epoch: 19 [26624/46250]	Loss: 0.3266	LR: 0.000800
Training Epoch: 19 [26880/46250]	Loss: 0.2683	LR: 0.000800
Training Epoch: 19 [27136/46250]	Loss: 0.2775	LR: 0.000800
Training Epoch: 19 [27392/46250]	Loss: 0.2431	LR: 0.000800
Training Epoch: 19 [27648/46250]	Loss: 0.2167	LR: 0.000800
Training Epoch: 19 [27904/46250]	Loss: 0.3273	LR: 0.000800
Training Epoch: 19 [28160/46250]	Loss: 0.2865	LR: 0.000800
Training Epoch: 19 [28416/46250]	Loss: 0.2399	LR: 0.000800
Training Epoch: 19 [28672/46250]	Loss: 0.3261	LR: 0.000800
Training Epoch: 19 [28928/46250]	Loss: 0.3525	LR: 0.000800
Training Epoch: 19 [29184/46250]	Loss: 0.2918	LR: 0.000800
Training Epoch: 19 [29440/46250]	Loss: 0.3728	LR: 0.000800
Training Epoch: 19 [29696/46250]	Loss: 0.2669	LR: 0.000800
Training Epoch: 19 [29952/46250]	Loss: 0.2600	LR: 0.000800
Training Epoch: 19 [30208/46250]	Loss: 0.3078	LR: 0.000800
Training Epoch: 19 [30464/46250]	Loss: 0.3359	LR: 0.000800
Training Epoch: 19 [30720/46250]	Loss: 0.2747	LR: 0.000800
Training Epoch: 19 [30976/46250]	Loss: 0.2733	LR: 0.000800
Training Epoch: 19 [31232/46250]	Loss: 0.2246	LR: 0.000800
Training Epoch: 19 [31488/46250]	Loss: 0.2327	LR: 0.000800
Training Epoch: 19 [31744/46250]	Loss: 0.3173	LR: 0.000800
Training Epoch: 19 [32000/46250]	Loss: 0.2232	LR: 0.000800
Training Epoch: 19 [32256/46250]	Loss: 0.2497	LR: 0.000800
Training Epoch: 19 [32512/46250]	Loss: 0.2860	LR: 0.000800
Training Epoch: 19 [32768/46250]	Loss: 0.2970	LR: 0.000800
Training Epoch: 19 [33024/46250]	Loss: 0.2178	LR: 0.000800
Training Epoch: 19 [33280/46250]	Loss: 0.1975	LR: 0.000800
Training Epoch: 19 [33536/46250]	Loss: 0.2826	LR: 0.000800
Training Epoch: 19 [33792/46250]	Loss: 0.2543	LR: 0.000800
Training Epoch: 19 [34048/46250]	Loss: 0.2313	LR: 0.000800
Training Epoch: 19 [34304/46250]	Loss: 0.2703	LR: 0.000800
Training Epoch: 19 [34560/46250]	Loss: 0.3537	LR: 0.000800
Training Epoch: 19 [34816/46250]	Loss: 0.2759	LR: 0.000800
Training Epoch: 19 [35072/46250]	Loss: 0.2272	LR: 0.000800
Training Epoch: 19 [35328/46250]	Loss: 0.2467	LR: 0.000800
Training Epoch: 19 [35584/46250]	Loss: 0.2373	LR: 0.000800
Training Epoch: 19 [35840/46250]	Loss: 0.2025	LR: 0.000800
Training Epoch: 19 [36096/46250]	Loss: 0.2868	LR: 0.000800
Training Epoch: 19 [36352/46250]	Loss: 0.2198	LR: 0.000800
Training Epoch: 19 [36608/46250]	Loss: 0.2480	LR: 0.000800
Training Epoch: 19 [36864/46250]	Loss: 0.3215	LR: 0.000800
Training Epoch: 19 [37120/46250]	Loss: 0.2602	LR: 0.000800
Training Epoch: 19 [37376/46250]	Loss: 0.2471	LR: 0.000800
Training Epoch: 19 [37632/46250]	Loss: 0.3711	LR: 0.000800
Training Epoch: 19 [37888/46250]	Loss: 0.3277	LR: 0.000800
Training Epoch: 19 [38144/46250]	Loss: 0.2623	LR: 0.000800
Training Epoch: 19 [38400/46250]	Loss: 0.2369	LR: 0.000800
Training Epoch: 19 [38656/46250]	Loss: 0.3294	LR: 0.000800
Training Epoch: 19 [38912/46250]	Loss: 0.3178	LR: 0.000800
Training Epoch: 19 [39168/46250]	Loss: 0.2844	LR: 0.000800
Training Epoch: 19 [39424/46250]	Loss: 0.3152	LR: 0.000800
Training Epoch: 19 [39680/46250]	Loss: 0.2549	LR: 0.000800
Training Epoch: 19 [39936/46250]	Loss: 0.2820	LR: 0.000800
Training Epoch: 19 [40192/46250]	Loss: 0.2756	LR: 0.000800
Training Epoch: 19 [40448/46250]	Loss: 0.2748	LR: 0.000800
Training Epoch: 19 [40704/46250]	Loss: 0.3167	LR: 0.000800
Training Epoch: 19 [40960/46250]	Loss: 0.3137	LR: 0.000800
Training Epoch: 19 [41216/46250]	Loss: 0.1888	LR: 0.000800
Training Epoch: 19 [41472/46250]	Loss: 0.2659	LR: 0.000800
Training Epoch: 19 [41728/46250]	Loss: 0.2580	LR: 0.000800
Training Epoch: 19 [41984/46250]	Loss: 0.3295	LR: 0.000800
Training Epoch: 19 [42240/46250]	Loss: 0.2315	LR: 0.000800
Training Epoch: 19 [42496/46250]	Loss: 0.2932	LR: 0.000800
Training Epoch: 19 [42752/46250]	Loss: 0.3007	LR: 0.000800
Training Epoch: 19 [43008/46250]	Loss: 0.3310	LR: 0.000800
Training Epoch: 19 [43264/46250]	Loss: 0.2753	LR: 0.000800
Training Epoch: 19 [43520/46250]	Loss: 0.3208	LR: 0.000800
Training Epoch: 19 [43776/46250]	Loss: 0.3099	LR: 0.000800
Training Epoch: 19 [44032/46250]	Loss: 0.2765	LR: 0.000800
Training Epoch: 19 [44288/46250]	Loss: 0.3025	LR: 0.000800
Training Epoch: 19 [44544/46250]	Loss: 0.2394	LR: 0.000800
Training Epoch: 19 [44800/46250]	Loss: 0.2424	LR: 0.000800
Training Epoch: 19 [45056/46250]	Loss: 0.2736	LR: 0.000800
Training Epoch: 19 [45312/46250]	Loss: 0.2660	LR: 0.000800
Training Epoch: 19 [45568/46250]	Loss: 0.3103	LR: 0.000800
Training Epoch: 19 [45824/46250]	Loss: 0.2480	LR: 0.000800
Training Epoch: 19 [46080/46250]	Loss: 0.2739	LR: 0.000800
Training Epoch: 19 [46250/46250]	Loss: 0.2879	LR: 0.000800
Epoch 19 - Average Train Loss: 0.2723, Train Accuracy: 0.9066
Epoch 19 training time consumed: 27.93s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0013, Accuracy: 0.8899, Time consumed:0.93s
Training Epoch: 20 [256/46250]	Loss: 0.1851	LR: 0.000800
Training Epoch: 20 [512/46250]	Loss: 0.2667	LR: 0.000800
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Training Epoch: 20 [2816/46250]	Loss: 0.2404	LR: 0.000800
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Training Epoch: 20 [44032/46250]	Loss: 0.2335	LR: 0.000800
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Training Epoch: 20 [44544/46250]	Loss: 0.2381	LR: 0.000800
Training Epoch: 20 [44800/46250]	Loss: 0.2852	LR: 0.000800
Training Epoch: 20 [45056/46250]	Loss: 0.2637	LR: 0.000800
Training Epoch: 20 [45312/46250]	Loss: 0.2416	LR: 0.000800
Training Epoch: 20 [45568/46250]	Loss: 0.2565	LR: 0.000800
Training Epoch: 20 [45824/46250]	Loss: 0.3221	LR: 0.000800
Training Epoch: 20 [46080/46250]	Loss: 0.1870	LR: 0.000800
Training Epoch: 20 [46250/46250]	Loss: 0.2030	LR: 0.000800
Epoch 20 - Average Train Loss: 0.2698, Train Accuracy: 0.9073
Epoch 20 training time consumed: 27.97s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0013, Accuracy: 0.8916, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_05h_07m_24s/ResNet18-Cifar10-seed2-ret25-20-best.pth
Valid (Test) Dl:  10000
Train Dl:  50000
Retain Train Dl:  46250
Forget Train Dl:  3750
Retain Valid Dl:  46250
Forget Valid Dl:  3750
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 3750 samples
Set1 Distribution: 3750 samples
Set2 Distribution: 3750 samples
MIA Attack Accuracy with XGBoost: 0.7313
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: 0.6617
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
MIA Attack Accuracy with XGBoost: 0.5105
Test Accuracy: 91.552734375
Retain Accuracy: 93.93336486816406
Zero-Retain Forget (ZRF): 0.8290116786956787
Membership Inference Attack (MIA): 0.6754666666666667
Forget vs Retain Membership Inference Attack (MIA): 0.7313333333333333
Forget vs Test Membership Inference Attack (MIA): 0.5033333333333333
Test vs Retain Membership Inference Attack (MIA): 0.66175
Train vs Test Membership Inference Attack (MIA): 0.5105
Forget Set Accuracy (Df): 93.49711608886719
Method Execution Time: 2345.51 seconds
