hello
hello
Labels

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

📌S Forget class distribution for seed 5:
Class 0: 500
Class 1: 500
Class 2: 500
Class 3: 500
Class 4: 500
Class 5: 500
Class 6: 500
Class 7: 500
Class 8: 500
Class 9: 500
780909900

📊 Updated class distribution:
Retain set:
  Class 0: 4875
  Class 1: 4875
  Class 2: 4875
  Class 3: 4875
  Class 4: 4875
  Class 5: 4875
  Class 6: 4875
  Class 7: 4875
  Class 8: 4875
  Class 9: 4875
Forget set:
  Class 0: 125
  Class 1: 125
  Class 2: 125
  Class 3: 125
  Class 4: 125
  Class 5: 125
  Class 6: 125
  Class 7: 125
  Class 8: 125
  Class 9: 125
hello
hello
⚠️ Warning: Retain train loader may not be shuffled.
Training Epoch: 1 [256/48750]	Loss: 2.3556	LR: 0.000000
Training Epoch: 1 [512/48750]	Loss: 2.4119	LR: 0.000524
Training Epoch: 1 [768/48750]	Loss: 2.3445	LR: 0.001047
Training Epoch: 1 [1024/48750]	Loss: 2.3464	LR: 0.001571
Training Epoch: 1 [1280/48750]	Loss: 2.3004	LR: 0.002094
Training Epoch: 1 [1536/48750]	Loss: 2.2497	LR: 0.002618
Training Epoch: 1 [1792/48750]	Loss: 2.2488	LR: 0.003141
Training Epoch: 1 [2048/48750]	Loss: 2.1989	LR: 0.003665
Training Epoch: 1 [2304/48750]	Loss: 2.2353	LR: 0.004188
Training Epoch: 1 [2560/48750]	Loss: 2.1282	LR: 0.004712
Training Epoch: 1 [2816/48750]	Loss: 2.1535	LR: 0.005236
Training Epoch: 1 [3072/48750]	Loss: 2.1339	LR: 0.005759
Training Epoch: 1 [3328/48750]	Loss: 2.0346	LR: 0.006283
Training Epoch: 1 [3584/48750]	Loss: 2.0248	LR: 0.006806
Training Epoch: 1 [3840/48750]	Loss: 1.9282	LR: 0.007330
Training Epoch: 1 [4096/48750]	Loss: 1.9150	LR: 0.007853
Training Epoch: 1 [4352/48750]	Loss: 1.9112	LR: 0.008377
Training Epoch: 1 [4608/48750]	Loss: 1.9022	LR: 0.008901
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Training Epoch: 1 [5888/48750]	Loss: 1.7902	LR: 0.011518
Training Epoch: 1 [6144/48750]	Loss: 1.6661	LR: 0.012042
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Training Epoch: 1 [6656/48750]	Loss: 1.8012	LR: 0.013089
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Training Epoch: 1 [7424/48750]	Loss: 1.8441	LR: 0.014660
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Training Epoch: 1 [7936/48750]	Loss: 1.7608	LR: 0.015707
Training Epoch: 1 [8192/48750]	Loss: 1.7267	LR: 0.016230
Training Epoch: 1 [8448/48750]	Loss: 1.7316	LR: 0.016754
Training Epoch: 1 [8704/48750]	Loss: 1.6722	LR: 0.017277
Training Epoch: 1 [8960/48750]	Loss: 1.7105	LR: 0.017801
Training Epoch: 1 [9216/48750]	Loss: 1.7588	LR: 0.018325
Training Epoch: 1 [9472/48750]	Loss: 1.6353	LR: 0.018848
Training Epoch: 1 [9728/48750]	Loss: 1.6329	LR: 0.019372
Training Epoch: 1 [9984/48750]	Loss: 1.6271	LR: 0.019895
Training Epoch: 1 [10240/48750]	Loss: 1.7155	LR: 0.020419
Training Epoch: 1 [10496/48750]	Loss: 1.4911	LR: 0.020942
Training Epoch: 1 [10752/48750]	Loss: 1.7884	LR: 0.021466
Training Epoch: 1 [11008/48750]	Loss: 1.7765	LR: 0.021990
Training Epoch: 1 [11264/48750]	Loss: 1.6672	LR: 0.022513
Training Epoch: 1 [11520/48750]	Loss: 1.7258	LR: 0.023037
Training Epoch: 1 [11776/48750]	Loss: 1.6088	LR: 0.023560
Training Epoch: 1 [12032/48750]	Loss: 1.6136	LR: 0.024084
Training Epoch: 1 [12288/48750]	Loss: 1.6110	LR: 0.024607
Training Epoch: 1 [12544/48750]	Loss: 1.6657	LR: 0.025131
Training Epoch: 1 [12800/48750]	Loss: 1.6749	LR: 0.025654
Training Epoch: 1 [13056/48750]	Loss: 1.6289	LR: 0.026178
Training Epoch: 1 [13312/48750]	Loss: 1.5390	LR: 0.026702
Training Epoch: 1 [13568/48750]	Loss: 1.6289	LR: 0.027225
Training Epoch: 1 [13824/48750]	Loss: 1.5620	LR: 0.027749
Training Epoch: 1 [14080/48750]	Loss: 1.5584	LR: 0.028272
Training Epoch: 1 [14336/48750]	Loss: 1.5672	LR: 0.028796
Training Epoch: 1 [14592/48750]	Loss: 1.6608	LR: 0.029319
Training Epoch: 1 [14848/48750]	Loss: 1.6855	LR: 0.029843
Training Epoch: 1 [15104/48750]	Loss: 1.5425	LR: 0.030366
Training Epoch: 1 [15360/48750]	Loss: 1.6270	LR: 0.030890
Training Epoch: 1 [15616/48750]	Loss: 1.4485	LR: 0.031414
Training Epoch: 1 [15872/48750]	Loss: 1.4421	LR: 0.031937
Training Epoch: 1 [16128/48750]	Loss: 1.5005	LR: 0.032461
Training Epoch: 1 [16384/48750]	Loss: 1.3713	LR: 0.032984
Training Epoch: 1 [16640/48750]	Loss: 1.5217	LR: 0.033508
Training Epoch: 1 [16896/48750]	Loss: 1.4919	LR: 0.034031
Training Epoch: 1 [17152/48750]	Loss: 1.4198	LR: 0.034555
Training Epoch: 1 [17408/48750]	Loss: 1.4759	LR: 0.035079
Training Epoch: 1 [17664/48750]	Loss: 1.4741	LR: 0.035602
Training Epoch: 1 [17920/48750]	Loss: 1.4655	LR: 0.036126
Training Epoch: 1 [18176/48750]	Loss: 1.5155	LR: 0.036649
Training Epoch: 1 [18432/48750]	Loss: 1.4956	LR: 0.037173
Training Epoch: 1 [18688/48750]	Loss: 1.5210	LR: 0.037696
Training Epoch: 1 [18944/48750]	Loss: 1.6053	LR: 0.038220
Training Epoch: 1 [19200/48750]	Loss: 1.4295	LR: 0.038743
Training Epoch: 1 [19456/48750]	Loss: 1.4880	LR: 0.039267
Training Epoch: 1 [19712/48750]	Loss: 1.3620	LR: 0.039791
Training Epoch: 1 [19968/48750]	Loss: 1.4554	LR: 0.040314
Training Epoch: 1 [20224/48750]	Loss: 1.4715	LR: 0.040838
Training Epoch: 1 [20480/48750]	Loss: 1.6688	LR: 0.041361
Training Epoch: 1 [20736/48750]	Loss: 1.5928	LR: 0.041885
Training Epoch: 1 [20992/48750]	Loss: 1.4301	LR: 0.042408
Training Epoch: 1 [21248/48750]	Loss: 1.5710	LR: 0.042932
Training Epoch: 1 [21504/48750]	Loss: 1.3953	LR: 0.043455
Training Epoch: 1 [21760/48750]	Loss: 1.6013	LR: 0.043979
Training Epoch: 1 [22016/48750]	Loss: 1.3337	LR: 0.044503
Training Epoch: 1 [22272/48750]	Loss: 1.4290	LR: 0.045026
Training Epoch: 1 [22528/48750]	Loss: 1.4029	LR: 0.045550
Training Epoch: 1 [22784/48750]	Loss: 1.4884	LR: 0.046073
Training Epoch: 1 [23040/48750]	Loss: 1.3309	LR: 0.046597
Training Epoch: 1 [23296/48750]	Loss: 1.3668	LR: 0.047120
Training Epoch: 1 [23552/48750]	Loss: 1.4251	LR: 0.047644
Training Epoch: 1 [23808/48750]	Loss: 1.4421	LR: 0.048168
Training Epoch: 1 [24064/48750]	Loss: 1.2765	LR: 0.048691
Training Epoch: 1 [24320/48750]	Loss: 1.4897	LR: 0.049215
Training Epoch: 1 [24576/48750]	Loss: 1.3812	LR: 0.049738
Training Epoch: 1 [24832/48750]	Loss: 1.4556	LR: 0.050262
Training Epoch: 1 [25088/48750]	Loss: 1.4105	LR: 0.050785
Training Epoch: 1 [25344/48750]	Loss: 1.3069	LR: 0.051309
Training Epoch: 1 [25600/48750]	Loss: 1.4129	LR: 0.051832
Training Epoch: 1 [25856/48750]	Loss: 1.3687	LR: 0.052356
Training Epoch: 1 [26112/48750]	Loss: 1.3265	LR: 0.052880
Training Epoch: 1 [26368/48750]	Loss: 1.6358	LR: 0.053403
Training Epoch: 1 [26624/48750]	Loss: 1.4903	LR: 0.053927
Training Epoch: 1 [26880/48750]	Loss: 1.4812	LR: 0.054450
Training Epoch: 1 [27136/48750]	Loss: 1.3306	LR: 0.054974
Training Epoch: 1 [27392/48750]	Loss: 1.6384	LR: 0.055497
Training Epoch: 1 [27648/48750]	Loss: 1.3301	LR: 0.056021
Training Epoch: 1 [27904/48750]	Loss: 1.3759	LR: 0.056545
Training Epoch: 1 [28160/48750]	Loss: 1.4622	LR: 0.057068
Training Epoch: 1 [28416/48750]	Loss: 1.5875	LR: 0.057592
Training Epoch: 1 [28672/48750]	Loss: 1.4712	LR: 0.058115
Training Epoch: 1 [28928/48750]	Loss: 1.5132	LR: 0.058639
Training Epoch: 1 [29184/48750]	Loss: 1.5996	LR: 0.059162
Training Epoch: 1 [29440/48750]	Loss: 1.4415	LR: 0.059686
Training Epoch: 1 [29696/48750]	Loss: 1.6669	LR: 0.060209
Training Epoch: 1 [29952/48750]	Loss: 1.4325	LR: 0.060733
Training Epoch: 1 [30208/48750]	Loss: 1.5701	LR: 0.061257
Training Epoch: 1 [30464/48750]	Loss: 1.6420	LR: 0.061780
Training Epoch: 1 [30720/48750]	Loss: 1.6479	LR: 0.062304
Training Epoch: 1 [30976/48750]	Loss: 1.3552	LR: 0.062827
Training Epoch: 1 [31232/48750]	Loss: 1.4549	LR: 0.063351
Training Epoch: 1 [31488/48750]	Loss: 1.4504	LR: 0.063874
Training Epoch: 1 [31744/48750]	Loss: 1.4986	LR: 0.064398
Training Epoch: 1 [32000/48750]	Loss: 1.4276	LR: 0.064921
Training Epoch: 1 [32256/48750]	Loss: 1.3123	LR: 0.065445
Training Epoch: 1 [32512/48750]	Loss: 1.4994	LR: 0.065969
Training Epoch: 1 [32768/48750]	Loss: 1.3887	LR: 0.066492
Training Epoch: 1 [33024/48750]	Loss: 1.3392	LR: 0.067016
Training Epoch: 1 [33280/48750]	Loss: 1.3887	LR: 0.067539
Training Epoch: 1 [33536/48750]	Loss: 1.2749	LR: 0.068063
Training Epoch: 1 [33792/48750]	Loss: 1.2260	LR: 0.068586
Training Epoch: 1 [34048/48750]	Loss: 1.4594	LR: 0.069110
Training Epoch: 1 [34304/48750]	Loss: 1.4343	LR: 0.069634
Training Epoch: 1 [34560/48750]	Loss: 1.4737	LR: 0.070157
Training Epoch: 1 [34816/48750]	Loss: 1.2821	LR: 0.070681
Training Epoch: 1 [35072/48750]	Loss: 1.4965	LR: 0.071204
Training Epoch: 1 [35328/48750]	Loss: 1.3843	LR: 0.071728
Training Epoch: 1 [35584/48750]	Loss: 1.5392	LR: 0.072251
Training Epoch: 1 [35840/48750]	Loss: 1.2325	LR: 0.072775
Training Epoch: 1 [36096/48750]	Loss: 1.3262	LR: 0.073298
Training Epoch: 1 [36352/48750]	Loss: 1.2784	LR: 0.073822
Training Epoch: 1 [36608/48750]	Loss: 1.2771	LR: 0.074346
Training Epoch: 1 [36864/48750]	Loss: 1.2187	LR: 0.074869
Training Epoch: 1 [37120/48750]	Loss: 1.5277	LR: 0.075393
Training Epoch: 1 [37376/48750]	Loss: 1.1241	LR: 0.075916
Training Epoch: 1 [37632/48750]	Loss: 1.1755	LR: 0.076440
Training Epoch: 1 [37888/48750]	Loss: 1.2263	LR: 0.076963
Training Epoch: 1 [38144/48750]	Loss: 1.1504	LR: 0.077487
Training Epoch: 1 [38400/48750]	Loss: 1.4153	LR: 0.078010
Training Epoch: 1 [38656/48750]	Loss: 1.3370	LR: 0.078534
Training Epoch: 1 [38912/48750]	Loss: 1.3779	LR: 0.079058
Training Epoch: 1 [39168/48750]	Loss: 1.3129	LR: 0.079581
Training Epoch: 1 [39424/48750]	Loss: 1.3316	LR: 0.080105
Training Epoch: 1 [39680/48750]	Loss: 1.1992	LR: 0.080628
Training Epoch: 1 [39936/48750]	Loss: 1.2127	LR: 0.081152
Training Epoch: 1 [40192/48750]	Loss: 1.2094	LR: 0.081675
Training Epoch: 1 [40448/48750]	Loss: 1.1526	LR: 0.082199
Training Epoch: 1 [40704/48750]	Loss: 1.1709	LR: 0.082723
Training Epoch: 1 [40960/48750]	Loss: 1.0718	LR: 0.083246
Training Epoch: 1 [41216/48750]	Loss: 1.3065	LR: 0.083770
Training Epoch: 1 [41472/48750]	Loss: 1.0953	LR: 0.084293
Training Epoch: 1 [41728/48750]	Loss: 1.1284	LR: 0.084817
Training Epoch: 1 [41984/48750]	Loss: 1.3457	LR: 0.085340
Training Epoch: 1 [42240/48750]	Loss: 1.2505	LR: 0.085864
Training Epoch: 1 [42496/48750]	Loss: 1.0201	LR: 0.086387
Training Epoch: 1 [42752/48750]	Loss: 1.1629	LR: 0.086911
Training Epoch: 1 [43008/48750]	Loss: 1.4560	LR: 0.087435
Training Epoch: 1 [43264/48750]	Loss: 1.1660	LR: 0.087958
Training Epoch: 1 [43520/48750]	Loss: 1.2191	LR: 0.088482
Training Epoch: 1 [43776/48750]	Loss: 1.0536	LR: 0.089005
Training Epoch: 1 [44032/48750]	Loss: 1.2076	LR: 0.089529
Training Epoch: 1 [44288/48750]	Loss: 1.2907	LR: 0.090052
Training Epoch: 1 [44544/48750]	Loss: 1.2089	LR: 0.090576
Training Epoch: 1 [44800/48750]	Loss: 1.0508	LR: 0.091099
Training Epoch: 1 [45056/48750]	Loss: 1.1640	LR: 0.091623
Training Epoch: 1 [45312/48750]	Loss: 1.0991	LR: 0.092147
Training Epoch: 1 [45568/48750]	Loss: 1.1765	LR: 0.092670
Training Epoch: 1 [45824/48750]	Loss: 1.1351	LR: 0.093194
Training Epoch: 1 [46080/48750]	Loss: 1.1052	LR: 0.093717
Training Epoch: 1 [46336/48750]	Loss: 1.1028	LR: 0.094241
Training Epoch: 1 [46592/48750]	Loss: 1.0274	LR: 0.094764
Training Epoch: 1 [46848/48750]	Loss: 1.0694	LR: 0.095288
Training Epoch: 1 [47104/48750]	Loss: 1.1981	LR: 0.095812
Training Epoch: 1 [47360/48750]	Loss: 1.0905	LR: 0.096335
Training Epoch: 1 [47616/48750]	Loss: 1.1941	LR: 0.096859
Training Epoch: 1 [47872/48750]	Loss: 1.0683	LR: 0.097382
Training Epoch: 1 [48128/48750]	Loss: 1.0775	LR: 0.097906
Training Epoch: 1 [48384/48750]	Loss: 0.9876	LR: 0.098429
Training Epoch: 1 [48640/48750]	Loss: 1.3382	LR: 0.098953
Training Epoch: 1 [48750/48750]	Loss: 1.1794	LR: 0.099476
Epoch 1 - Average Train Loss: 1.5024, Train Accuracy: 0.4554
Epoch 1 training time consumed: 19.49s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0061, Accuracy: 0.5243, Time consumed:1.04s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_20h_54m_54s/ResNet18-Cifar10-seed5-ret75-1-best.pth
Training Epoch: 2 [256/48750]	Loss: 1.1066	LR: 0.020000
Training Epoch: 2 [512/48750]	Loss: 1.1556	LR: 0.020000
Training Epoch: 2 [768/48750]	Loss: 1.1895	LR: 0.020000
Training Epoch: 2 [1024/48750]	Loss: 0.9773	LR: 0.020000
Training Epoch: 2 [1280/48750]	Loss: 0.9161	LR: 0.020000
Training Epoch: 2 [1536/48750]	Loss: 0.9172	LR: 0.020000
Training Epoch: 2 [1792/48750]	Loss: 0.9198	LR: 0.020000
Training Epoch: 2 [2048/48750]	Loss: 1.0537	LR: 0.020000
Training Epoch: 2 [2304/48750]	Loss: 0.8944	LR: 0.020000
Training Epoch: 2 [2560/48750]	Loss: 0.9342	LR: 0.020000
Training Epoch: 2 [2816/48750]	Loss: 0.9806	LR: 0.020000
Training Epoch: 2 [3072/48750]	Loss: 0.8146	LR: 0.020000
Training Epoch: 2 [3328/48750]	Loss: 0.9888	LR: 0.020000
Training Epoch: 2 [3584/48750]	Loss: 0.7809	LR: 0.020000
Training Epoch: 2 [3840/48750]	Loss: 0.9471	LR: 0.020000
Training Epoch: 2 [4096/48750]	Loss: 0.8336	LR: 0.020000
Training Epoch: 2 [4352/48750]	Loss: 0.7979	LR: 0.020000
Training Epoch: 2 [4608/48750]	Loss: 0.8109	LR: 0.020000
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Training Epoch: 2 [5632/48750]	Loss: 0.9134	LR: 0.020000
Training Epoch: 2 [5888/48750]	Loss: 0.9393	LR: 0.020000
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Training Epoch: 2 [6656/48750]	Loss: 0.8500	LR: 0.020000
Training Epoch: 2 [6912/48750]	Loss: 0.9278	LR: 0.020000
Training Epoch: 2 [7168/48750]	Loss: 0.6846	LR: 0.020000
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Training Epoch: 2 [8448/48750]	Loss: 0.7559	LR: 0.020000
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Training Epoch: 2 [9728/48750]	Loss: 0.8325	LR: 0.020000
Training Epoch: 2 [9984/48750]	Loss: 0.7670	LR: 0.020000
Training Epoch: 2 [10240/48750]	Loss: 0.7326	LR: 0.020000
Training Epoch: 2 [10496/48750]	Loss: 0.7993	LR: 0.020000
Training Epoch: 2 [10752/48750]	Loss: 0.9074	LR: 0.020000
Training Epoch: 2 [11008/48750]	Loss: 0.8184	LR: 0.020000
Training Epoch: 2 [11264/48750]	Loss: 0.8528	LR: 0.020000
Training Epoch: 2 [11520/48750]	Loss: 0.8443	LR: 0.020000
Training Epoch: 2 [11776/48750]	Loss: 0.8038	LR: 0.020000
Training Epoch: 2 [12032/48750]	Loss: 0.6720	LR: 0.020000
Training Epoch: 2 [12288/48750]	Loss: 0.8036	LR: 0.020000
Training Epoch: 2 [12544/48750]	Loss: 0.8193	LR: 0.020000
Training Epoch: 2 [12800/48750]	Loss: 0.7617	LR: 0.020000
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Training Epoch: 2 [14080/48750]	Loss: 0.8353	LR: 0.020000
Training Epoch: 2 [14336/48750]	Loss: 0.8724	LR: 0.020000
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Training Epoch: 2 [15104/48750]	Loss: 0.7982	LR: 0.020000
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Training Epoch: 2 [16128/48750]	Loss: 0.7898	LR: 0.020000
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Training Epoch: 2 [16640/48750]	Loss: 0.6779	LR: 0.020000
Training Epoch: 2 [16896/48750]	Loss: 0.6675	LR: 0.020000
Training Epoch: 2 [17152/48750]	Loss: 0.8187	LR: 0.020000
Training Epoch: 2 [17408/48750]	Loss: 0.7496	LR: 0.020000
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Training Epoch: 2 [18176/48750]	Loss: 0.7595	LR: 0.020000
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Training Epoch: 2 [20224/48750]	Loss: 0.7824	LR: 0.020000
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Training Epoch: 2 [46336/48750]	Loss: 0.6344	LR: 0.020000
Training Epoch: 2 [46592/48750]	Loss: 0.6641	LR: 0.020000
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Training Epoch: 2 [47104/48750]	Loss: 0.6439	LR: 0.020000
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Training Epoch: 2 [47616/48750]	Loss: 0.6868	LR: 0.020000
Training Epoch: 2 [47872/48750]	Loss: 0.6995	LR: 0.020000
Training Epoch: 2 [48128/48750]	Loss: 0.6442	LR: 0.020000
Training Epoch: 2 [48384/48750]	Loss: 0.7430	LR: 0.020000
Training Epoch: 2 [48640/48750]	Loss: 0.6080	LR: 0.020000
Training Epoch: 2 [48750/48750]	Loss: 0.7330	LR: 0.020000
Epoch 2 - Average Train Loss: 0.7489, Train Accuracy: 0.7338
Epoch 2 training time consumed: 18.95s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0031, Accuracy: 0.7290, Time consumed:1.03s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_20h_54m_54s/ResNet18-Cifar10-seed5-ret75-2-best.pth
Training Epoch: 3 [256/48750]	Loss: 0.6783	LR: 0.020000
Training Epoch: 3 [512/48750]	Loss: 0.5640	LR: 0.020000
Training Epoch: 3 [768/48750]	Loss: 0.6166	LR: 0.020000
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Training Epoch: 3 [44544/48750]	Loss: 0.4764	LR: 0.020000
Training Epoch: 3 [44800/48750]	Loss: 0.5741	LR: 0.020000
Training Epoch: 3 [45056/48750]	Loss: 0.5526	LR: 0.020000
Training Epoch: 3 [45312/48750]	Loss: 0.5343	LR: 0.020000
Training Epoch: 3 [45568/48750]	Loss: 0.6058	LR: 0.020000
Training Epoch: 3 [45824/48750]	Loss: 0.4928	LR: 0.020000
Training Epoch: 3 [46080/48750]	Loss: 0.5217	LR: 0.020000
Training Epoch: 3 [46336/48750]	Loss: 0.5940	LR: 0.020000
Training Epoch: 3 [46592/48750]	Loss: 0.4717	LR: 0.020000
Training Epoch: 3 [46848/48750]	Loss: 0.6339	LR: 0.020000
Training Epoch: 3 [47104/48750]	Loss: 0.4672	LR: 0.020000
Training Epoch: 3 [47360/48750]	Loss: 0.5613	LR: 0.020000
Training Epoch: 3 [47616/48750]	Loss: 0.5878	LR: 0.020000
Training Epoch: 3 [47872/48750]	Loss: 0.5183	LR: 0.020000
Training Epoch: 3 [48128/48750]	Loss: 0.4801	LR: 0.020000
Training Epoch: 3 [48384/48750]	Loss: 0.5808	LR: 0.020000
Training Epoch: 3 [48640/48750]	Loss: 0.5965	LR: 0.020000
Training Epoch: 3 [48750/48750]	Loss: 0.5981	LR: 0.020000
Epoch 3 - Average Train Loss: 0.5690, Train Accuracy: 0.7998
Epoch 3 training time consumed: 19.13s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0033, Accuracy: 0.7224, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_20h_54m_54s/ResNet18-Cifar10-seed5-ret75-3-best.pth
Training Epoch: 4 [256/48750]	Loss: 0.4069	LR: 0.020000
Training Epoch: 4 [512/48750]	Loss: 0.4395	LR: 0.020000
Training Epoch: 4 [768/48750]	Loss: 0.4680	LR: 0.020000
Training Epoch: 4 [1024/48750]	Loss: 0.3926	LR: 0.020000
Training Epoch: 4 [1280/48750]	Loss: 0.3360	LR: 0.020000
Training Epoch: 4 [1536/48750]	Loss: 0.4676	LR: 0.020000
Training Epoch: 4 [1792/48750]	Loss: 0.4389	LR: 0.020000
Training Epoch: 4 [2048/48750]	Loss: 0.4210	LR: 0.020000
Training Epoch: 4 [2304/48750]	Loss: 0.4494	LR: 0.020000
Training Epoch: 4 [2560/48750]	Loss: 0.5250	LR: 0.020000
Training Epoch: 4 [2816/48750]	Loss: 0.3870	LR: 0.020000
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Training Epoch: 4 [44800/48750]	Loss: 0.4757	LR: 0.020000
Training Epoch: 4 [45056/48750]	Loss: 0.4916	LR: 0.020000
Training Epoch: 4 [45312/48750]	Loss: 0.4827	LR: 0.020000
Training Epoch: 4 [45568/48750]	Loss: 0.4903	LR: 0.020000
Training Epoch: 4 [45824/48750]	Loss: 0.4696	LR: 0.020000
Training Epoch: 4 [46080/48750]	Loss: 0.3772	LR: 0.020000
Training Epoch: 4 [46336/48750]	Loss: 0.3660	LR: 0.020000
Training Epoch: 4 [46592/48750]	Loss: 0.3494	LR: 0.020000
Training Epoch: 4 [46848/48750]	Loss: 0.4831	LR: 0.020000
Training Epoch: 4 [47104/48750]	Loss: 0.3509	LR: 0.020000
Training Epoch: 4 [47360/48750]	Loss: 0.2953	LR: 0.020000
Training Epoch: 4 [47616/48750]	Loss: 0.3619	LR: 0.020000
Training Epoch: 4 [47872/48750]	Loss: 0.4711	LR: 0.020000
Training Epoch: 4 [48128/48750]	Loss: 0.4280	LR: 0.020000
Training Epoch: 4 [48384/48750]	Loss: 0.3800	LR: 0.020000
Training Epoch: 4 [48640/48750]	Loss: 0.4490	LR: 0.020000
Training Epoch: 4 [48750/48750]	Loss: 0.3805	LR: 0.020000
Epoch 4 - Average Train Loss: 0.4371, Train Accuracy: 0.8462
Epoch 4 training time consumed: 19.05s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0029, Accuracy: 0.7565, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_20h_54m_54s/ResNet18-Cifar10-seed5-ret75-4-best.pth
Training Epoch: 5 [256/48750]	Loss: 0.3816	LR: 0.004000
Training Epoch: 5 [512/48750]	Loss: 0.2493	LR: 0.004000
Training Epoch: 5 [768/48750]	Loss: 0.3733	LR: 0.004000
Training Epoch: 5 [1024/48750]	Loss: 0.2828	LR: 0.004000
Training Epoch: 5 [1280/48750]	Loss: 0.3035	LR: 0.004000
Training Epoch: 5 [1536/48750]	Loss: 0.2341	LR: 0.004000
Training Epoch: 5 [1792/48750]	Loss: 0.3261	LR: 0.004000
Training Epoch: 5 [2048/48750]	Loss: 0.2608	LR: 0.004000
Training Epoch: 5 [2304/48750]	Loss: 0.3062	LR: 0.004000
Training Epoch: 5 [2560/48750]	Loss: 0.2583	LR: 0.004000
Training Epoch: 5 [2816/48750]	Loss: 0.2476	LR: 0.004000
Training Epoch: 5 [3072/48750]	Loss: 0.1909	LR: 0.004000
Training Epoch: 5 [3328/48750]	Loss: 0.2974	LR: 0.004000
Training Epoch: 5 [3584/48750]	Loss: 0.2675	LR: 0.004000
Training Epoch: 5 [3840/48750]	Loss: 0.2897	LR: 0.004000
Training Epoch: 5 [4096/48750]	Loss: 0.2388	LR: 0.004000
Training Epoch: 5 [4352/48750]	Loss: 0.2324	LR: 0.004000
Training Epoch: 5 [4608/48750]	Loss: 0.2053	LR: 0.004000
Training Epoch: 5 [4864/48750]	Loss: 0.2918	LR: 0.004000
Training Epoch: 5 [5120/48750]	Loss: 0.2601	LR: 0.004000
Training Epoch: 5 [5376/48750]	Loss: 0.2586	LR: 0.004000
Training Epoch: 5 [5632/48750]	Loss: 0.3113	LR: 0.004000
Training Epoch: 5 [5888/48750]	Loss: 0.2265	LR: 0.004000
Training Epoch: 5 [6144/48750]	Loss: 0.2277	LR: 0.004000
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Training Epoch: 5 [10496/48750]	Loss: 0.1537	LR: 0.004000
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Training Epoch: 5 [16128/48750]	Loss: 0.2099	LR: 0.004000
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Training Epoch: 5 [18688/48750]	Loss: 0.1377	LR: 0.004000
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Training Epoch: 5 [47616/48750]	Loss: 0.1572	LR: 0.004000
Training Epoch: 5 [47872/48750]	Loss: 0.1404	LR: 0.004000
Training Epoch: 5 [48128/48750]	Loss: 0.1412	LR: 0.004000
Training Epoch: 5 [48384/48750]	Loss: 0.1540	LR: 0.004000
Training Epoch: 5 [48640/48750]	Loss: 0.1910	LR: 0.004000
Training Epoch: 5 [48750/48750]	Loss: 0.2347	LR: 0.004000
Epoch 5 - Average Train Loss: 0.2029, Train Accuracy: 0.9350
Epoch 5 training time consumed: 19.23s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0022, Accuracy: 0.8213, Time consumed:1.00s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_20h_54m_54s/ResNet18-Cifar10-seed5-ret75-5-best.pth
Training Epoch: 6 [256/48750]	Loss: 0.1259	LR: 0.004000
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Training Epoch: 6 [28928/48750]	Loss: 0.1103	LR: 0.004000
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Training Epoch: 6 [43008/48750]	Loss: 0.1067	LR: 0.004000
Training Epoch: 6 [43264/48750]	Loss: 0.1068	LR: 0.004000
Training Epoch: 6 [43520/48750]	Loss: 0.0869	LR: 0.004000
Training Epoch: 6 [43776/48750]	Loss: 0.1099	LR: 0.004000
Training Epoch: 6 [44032/48750]	Loss: 0.1278	LR: 0.004000
Training Epoch: 6 [44288/48750]	Loss: 0.1640	LR: 0.004000
Training Epoch: 6 [44544/48750]	Loss: 0.0715	LR: 0.004000
Training Epoch: 6 [44800/48750]	Loss: 0.0864	LR: 0.004000
Training Epoch: 6 [45056/48750]	Loss: 0.0825	LR: 0.004000
Training Epoch: 6 [45312/48750]	Loss: 0.0695	LR: 0.004000
Training Epoch: 6 [45568/48750]	Loss: 0.1104	LR: 0.004000
Training Epoch: 6 [45824/48750]	Loss: 0.0776	LR: 0.004000
Training Epoch: 6 [46080/48750]	Loss: 0.1090	LR: 0.004000
Training Epoch: 6 [46336/48750]	Loss: 0.1041	LR: 0.004000
Training Epoch: 6 [46592/48750]	Loss: 0.1289	LR: 0.004000
Training Epoch: 6 [46848/48750]	Loss: 0.1342	LR: 0.004000
Training Epoch: 6 [47104/48750]	Loss: 0.0976	LR: 0.004000
Training Epoch: 6 [47360/48750]	Loss: 0.0942	LR: 0.004000
Training Epoch: 6 [47616/48750]	Loss: 0.0998	LR: 0.004000
Training Epoch: 6 [47872/48750]	Loss: 0.1218	LR: 0.004000
Training Epoch: 6 [48128/48750]	Loss: 0.0884	LR: 0.004000
Training Epoch: 6 [48384/48750]	Loss: 0.1216	LR: 0.004000
Training Epoch: 6 [48640/48750]	Loss: 0.1282	LR: 0.004000
Training Epoch: 6 [48750/48750]	Loss: 0.1112	LR: 0.004000
Epoch 6 - Average Train Loss: 0.1107, Train Accuracy: 0.9689
Epoch 6 training time consumed: 18.94s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0024, Accuracy: 0.8198, Time consumed:0.98s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_20h_54m_54s/ResNet18-Cifar10-seed5-ret75-6-best.pth
Training Epoch: 7 [256/48750]	Loss: 0.0458	LR: 0.004000
Training Epoch: 7 [512/48750]	Loss: 0.0684	LR: 0.004000
Training Epoch: 7 [768/48750]	Loss: 0.0487	LR: 0.004000
Training Epoch: 7 [1024/48750]	Loss: 0.0873	LR: 0.004000
Training Epoch: 7 [1280/48750]	Loss: 0.0468	LR: 0.004000
Training Epoch: 7 [1536/48750]	Loss: 0.0541	LR: 0.004000
Training Epoch: 7 [1792/48750]	Loss: 0.0560	LR: 0.004000
Training Epoch: 7 [2048/48750]	Loss: 0.0580	LR: 0.004000
Training Epoch: 7 [2304/48750]	Loss: 0.0480	LR: 0.004000
Training Epoch: 7 [2560/48750]	Loss: 0.0656	LR: 0.004000
Training Epoch: 7 [2816/48750]	Loss: 0.0664	LR: 0.004000
Training Epoch: 7 [3072/48750]	Loss: 0.0641	LR: 0.004000
Training Epoch: 7 [3328/48750]	Loss: 0.0492	LR: 0.004000
Training Epoch: 7 [3584/48750]	Loss: 0.0780	LR: 0.004000
Training Epoch: 7 [3840/48750]	Loss: 0.0619	LR: 0.004000
Training Epoch: 7 [4096/48750]	Loss: 0.0596	LR: 0.004000
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Training Epoch: 7 [4608/48750]	Loss: 0.0569	LR: 0.004000
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Training Epoch: 7 [5120/48750]	Loss: 0.0459	LR: 0.004000
Training Epoch: 7 [5376/48750]	Loss: 0.0501	LR: 0.004000
Training Epoch: 7 [5632/48750]	Loss: 0.0530	LR: 0.004000
Training Epoch: 7 [5888/48750]	Loss: 0.0454	LR: 0.004000
Training Epoch: 7 [6144/48750]	Loss: 0.0695	LR: 0.004000
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Training Epoch: 7 [10240/48750]	Loss: 0.0466	LR: 0.004000
Training Epoch: 7 [10496/48750]	Loss: 0.0574	LR: 0.004000
Training Epoch: 7 [10752/48750]	Loss: 0.0676	LR: 0.004000
Training Epoch: 7 [11008/48750]	Loss: 0.0712	LR: 0.004000
Training Epoch: 7 [11264/48750]	Loss: 0.0499	LR: 0.004000
Training Epoch: 7 [11520/48750]	Loss: 0.0502	LR: 0.004000
Training Epoch: 7 [11776/48750]	Loss: 0.0561	LR: 0.004000
Training Epoch: 7 [12032/48750]	Loss: 0.0544	LR: 0.004000
Training Epoch: 7 [12288/48750]	Loss: 0.0478	LR: 0.004000
Training Epoch: 7 [12544/48750]	Loss: 0.0588	LR: 0.004000
Training Epoch: 7 [12800/48750]	Loss: 0.0494	LR: 0.004000
Training Epoch: 7 [13056/48750]	Loss: 0.0520	LR: 0.004000
Training Epoch: 7 [13312/48750]	Loss: 0.0468	LR: 0.004000
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Training Epoch: 7 [15104/48750]	Loss: 0.0696	LR: 0.004000
Training Epoch: 7 [15360/48750]	Loss: 0.0687	LR: 0.004000
Training Epoch: 7 [15616/48750]	Loss: 0.0549	LR: 0.004000
Training Epoch: 7 [15872/48750]	Loss: 0.0591	LR: 0.004000
Training Epoch: 7 [16128/48750]	Loss: 0.0532	LR: 0.004000
Training Epoch: 7 [16384/48750]	Loss: 0.0779	LR: 0.004000
Training Epoch: 7 [16640/48750]	Loss: 0.0594	LR: 0.004000
Training Epoch: 7 [16896/48750]	Loss: 0.0326	LR: 0.004000
Training Epoch: 7 [17152/48750]	Loss: 0.0450	LR: 0.004000
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Training Epoch: 7 [37376/48750]	Loss: 0.0520	LR: 0.004000
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Training Epoch: 7 [40192/48750]	Loss: 0.0727	LR: 0.004000
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Training Epoch: 7 [41472/48750]	Loss: 0.0411	LR: 0.004000
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Training Epoch: 7 [43264/48750]	Loss: 0.0725	LR: 0.004000
Training Epoch: 7 [43520/48750]	Loss: 0.0464	LR: 0.004000
Training Epoch: 7 [43776/48750]	Loss: 0.0703	LR: 0.004000
Training Epoch: 7 [44032/48750]	Loss: 0.0532	LR: 0.004000
Training Epoch: 7 [44288/48750]	Loss: 0.0520	LR: 0.004000
Training Epoch: 7 [44544/48750]	Loss: 0.0445	LR: 0.004000
Training Epoch: 7 [44800/48750]	Loss: 0.0315	LR: 0.004000
Training Epoch: 7 [45056/48750]	Loss: 0.0558	LR: 0.004000
Training Epoch: 7 [45312/48750]	Loss: 0.0440	LR: 0.004000
Training Epoch: 7 [45568/48750]	Loss: 0.0452	LR: 0.004000
Training Epoch: 7 [45824/48750]	Loss: 0.0630	LR: 0.004000
Training Epoch: 7 [46080/48750]	Loss: 0.0551	LR: 0.004000
Training Epoch: 7 [46336/48750]	Loss: 0.0447	LR: 0.004000
Training Epoch: 7 [46592/48750]	Loss: 0.0397	LR: 0.004000
Training Epoch: 7 [46848/48750]	Loss: 0.0595	LR: 0.004000
Training Epoch: 7 [47104/48750]	Loss: 0.0510	LR: 0.004000
Training Epoch: 7 [47360/48750]	Loss: 0.0678	LR: 0.004000
Training Epoch: 7 [47616/48750]	Loss: 0.0488	LR: 0.004000
Training Epoch: 7 [47872/48750]	Loss: 0.0453	LR: 0.004000
Training Epoch: 7 [48128/48750]	Loss: 0.0472	LR: 0.004000
Training Epoch: 7 [48384/48750]	Loss: 0.0438	LR: 0.004000
Training Epoch: 7 [48640/48750]	Loss: 0.0547	LR: 0.004000
Training Epoch: 7 [48750/48750]	Loss: 0.0799	LR: 0.004000
Epoch 7 - Average Train Loss: 0.0547, Train Accuracy: 0.9895
Epoch 7 training time consumed: 19.12s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0025, Accuracy: 0.8208, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_20h_54m_54s/ResNet18-Cifar10-seed5-ret75-7-best.pth
Training Epoch: 8 [256/48750]	Loss: 0.0239	LR: 0.004000
Training Epoch: 8 [512/48750]	Loss: 0.0409	LR: 0.004000
Training Epoch: 8 [768/48750]	Loss: 0.0281	LR: 0.004000
Training Epoch: 8 [1024/48750]	Loss: 0.0212	LR: 0.004000
Training Epoch: 8 [1280/48750]	Loss: 0.0230	LR: 0.004000
Training Epoch: 8 [1536/48750]	Loss: 0.0204	LR: 0.004000
Training Epoch: 8 [1792/48750]	Loss: 0.0253	LR: 0.004000
Training Epoch: 8 [2048/48750]	Loss: 0.0409	LR: 0.004000
Training Epoch: 8 [2304/48750]	Loss: 0.0317	LR: 0.004000
Training Epoch: 8 [2560/48750]	Loss: 0.0176	LR: 0.004000
Training Epoch: 8 [2816/48750]	Loss: 0.0396	LR: 0.004000
Training Epoch: 8 [3072/48750]	Loss: 0.0340	LR: 0.004000
Training Epoch: 8 [3328/48750]	Loss: 0.0279	LR: 0.004000
Training Epoch: 8 [3584/48750]	Loss: 0.0282	LR: 0.004000
Training Epoch: 8 [3840/48750]	Loss: 0.0336	LR: 0.004000
Training Epoch: 8 [4096/48750]	Loss: 0.0281	LR: 0.004000
Training Epoch: 8 [4352/48750]	Loss: 0.0329	LR: 0.004000
Training Epoch: 8 [4608/48750]	Loss: 0.0227	LR: 0.004000
Training Epoch: 8 [4864/48750]	Loss: 0.0317	LR: 0.004000
Training Epoch: 8 [5120/48750]	Loss: 0.0221	LR: 0.004000
Training Epoch: 8 [5376/48750]	Loss: 0.0315	LR: 0.004000
Training Epoch: 8 [5632/48750]	Loss: 0.0201	LR: 0.004000
Training Epoch: 8 [5888/48750]	Loss: 0.0271	LR: 0.004000
Training Epoch: 8 [6144/48750]	Loss: 0.0252	LR: 0.004000
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Training Epoch: 8 [8448/48750]	Loss: 0.0225	LR: 0.004000
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Training Epoch: 8 [10240/48750]	Loss: 0.0238	LR: 0.004000
Training Epoch: 8 [10496/48750]	Loss: 0.0199	LR: 0.004000
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Training Epoch: 8 [11776/48750]	Loss: 0.0275	LR: 0.004000
Training Epoch: 8 [12032/48750]	Loss: 0.0208	LR: 0.004000
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Training Epoch: 8 [12544/48750]	Loss: 0.0379	LR: 0.004000
Training Epoch: 8 [12800/48750]	Loss: 0.0221	LR: 0.004000
Training Epoch: 8 [13056/48750]	Loss: 0.0290	LR: 0.004000
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Training Epoch: 8 [13568/48750]	Loss: 0.0311	LR: 0.004000
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Training Epoch: 8 [14080/48750]	Loss: 0.0216	LR: 0.004000
Training Epoch: 8 [14336/48750]	Loss: 0.0225	LR: 0.004000
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Training Epoch: 8 [15616/48750]	Loss: 0.0229	LR: 0.004000
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Training Epoch: 8 [16128/48750]	Loss: 0.0224	LR: 0.004000
Training Epoch: 8 [16384/48750]	Loss: 0.0277	LR: 0.004000
Training Epoch: 8 [16640/48750]	Loss: 0.0233	LR: 0.004000
Training Epoch: 8 [16896/48750]	Loss: 0.0222	LR: 0.004000
Training Epoch: 8 [17152/48750]	Loss: 0.0214	LR: 0.004000
Training Epoch: 8 [17408/48750]	Loss: 0.0495	LR: 0.004000
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Training Epoch: 8 [19712/48750]	Loss: 0.0261	LR: 0.004000
Training Epoch: 8 [19968/48750]	Loss: 0.0323	LR: 0.004000
Training Epoch: 8 [20224/48750]	Loss: 0.0237	LR: 0.004000
Training Epoch: 8 [20480/48750]	Loss: 0.0209	LR: 0.004000
Training Epoch: 8 [20736/48750]	Loss: 0.0482	LR: 0.004000
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Training Epoch: 8 [22528/48750]	Loss: 0.0345	LR: 0.004000
Training Epoch: 8 [22784/48750]	Loss: 0.0146	LR: 0.004000
Training Epoch: 8 [23040/48750]	Loss: 0.0233	LR: 0.004000
Training Epoch: 8 [23296/48750]	Loss: 0.0194	LR: 0.004000
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Training Epoch: 8 [24320/48750]	Loss: 0.0283	LR: 0.004000
Training Epoch: 8 [24576/48750]	Loss: 0.0248	LR: 0.004000
Training Epoch: 8 [24832/48750]	Loss: 0.0197	LR: 0.004000
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Training Epoch: 8 [25344/48750]	Loss: 0.0185	LR: 0.004000
Training Epoch: 8 [25600/48750]	Loss: 0.0256	LR: 0.004000
Training Epoch: 8 [25856/48750]	Loss: 0.0479	LR: 0.004000
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Training Epoch: 8 [26368/48750]	Loss: 0.0188	LR: 0.004000
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Training Epoch: 8 [28160/48750]	Loss: 0.0203	LR: 0.004000
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Training Epoch: 8 [29440/48750]	Loss: 0.0382	LR: 0.004000
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Training Epoch: 8 [31744/48750]	Loss: 0.0184	LR: 0.004000
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Training Epoch: 8 [32256/48750]	Loss: 0.0194	LR: 0.004000
Training Epoch: 8 [32512/48750]	Loss: 0.0175	LR: 0.004000
Training Epoch: 8 [32768/48750]	Loss: 0.0211	LR: 0.004000
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Training Epoch: 8 [33280/48750]	Loss: 0.0141	LR: 0.004000
Training Epoch: 8 [33536/48750]	Loss: 0.0257	LR: 0.004000
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Training Epoch: 8 [34048/48750]	Loss: 0.0291	LR: 0.004000
Training Epoch: 8 [34304/48750]	Loss: 0.0310	LR: 0.004000
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Training Epoch: 8 [35328/48750]	Loss: 0.0256	LR: 0.004000
Training Epoch: 8 [35584/48750]	Loss: 0.0136	LR: 0.004000
Training Epoch: 8 [35840/48750]	Loss: 0.0192	LR: 0.004000
Training Epoch: 8 [36096/48750]	Loss: 0.0237	LR: 0.004000
Training Epoch: 8 [36352/48750]	Loss: 0.0260	LR: 0.004000
Training Epoch: 8 [36608/48750]	Loss: 0.0263	LR: 0.004000
Training Epoch: 8 [36864/48750]	Loss: 0.0241	LR: 0.004000
Training Epoch: 8 [37120/48750]	Loss: 0.0365	LR: 0.004000
Training Epoch: 8 [37376/48750]	Loss: 0.0198	LR: 0.004000
Training Epoch: 8 [37632/48750]	Loss: 0.0225	LR: 0.004000
Training Epoch: 8 [37888/48750]	Loss: 0.0194	LR: 0.004000
Training Epoch: 8 [38144/48750]	Loss: 0.0326	LR: 0.004000
Training Epoch: 8 [38400/48750]	Loss: 0.0179	LR: 0.004000
Training Epoch: 8 [38656/48750]	Loss: 0.0260	LR: 0.004000
Training Epoch: 8 [38912/48750]	Loss: 0.0224	LR: 0.004000
Training Epoch: 8 [39168/48750]	Loss: 0.0183	LR: 0.004000
Training Epoch: 8 [39424/48750]	Loss: 0.0206	LR: 0.004000
Training Epoch: 8 [39680/48750]	Loss: 0.0185	LR: 0.004000
Training Epoch: 8 [39936/48750]	Loss: 0.0190	LR: 0.004000
Training Epoch: 8 [40192/48750]	Loss: 0.0274	LR: 0.004000
Training Epoch: 8 [40448/48750]	Loss: 0.0240	LR: 0.004000
Training Epoch: 8 [40704/48750]	Loss: 0.0212	LR: 0.004000
Training Epoch: 8 [40960/48750]	Loss: 0.0233	LR: 0.004000
Training Epoch: 8 [41216/48750]	Loss: 0.0216	LR: 0.004000
Training Epoch: 8 [41472/48750]	Loss: 0.0223	LR: 0.004000
Training Epoch: 8 [41728/48750]	Loss: 0.0193	LR: 0.004000
Training Epoch: 8 [41984/48750]	Loss: 0.0606	LR: 0.004000
Training Epoch: 8 [42240/48750]	Loss: 0.0198	LR: 0.004000
Training Epoch: 8 [42496/48750]	Loss: 0.0166	LR: 0.004000
Training Epoch: 8 [42752/48750]	Loss: 0.0231	LR: 0.004000
Training Epoch: 8 [43008/48750]	Loss: 0.0170	LR: 0.004000
Training Epoch: 8 [43264/48750]	Loss: 0.0265	LR: 0.004000
Training Epoch: 8 [43520/48750]	Loss: 0.0217	LR: 0.004000
Training Epoch: 8 [43776/48750]	Loss: 0.0329	LR: 0.004000
Training Epoch: 8 [44032/48750]	Loss: 0.0248	LR: 0.004000
Training Epoch: 8 [44288/48750]	Loss: 0.0209	LR: 0.004000
Training Epoch: 8 [44544/48750]	Loss: 0.0275	LR: 0.004000
Training Epoch: 8 [44800/48750]	Loss: 0.0249	LR: 0.004000
Training Epoch: 8 [45056/48750]	Loss: 0.0125	LR: 0.004000
Training Epoch: 8 [45312/48750]	Loss: 0.0245	LR: 0.004000
Training Epoch: 8 [45568/48750]	Loss: 0.0227	LR: 0.004000
Training Epoch: 8 [45824/48750]	Loss: 0.0349	LR: 0.004000
Training Epoch: 8 [46080/48750]	Loss: 0.0401	LR: 0.004000
Training Epoch: 8 [46336/48750]	Loss: 0.0164	LR: 0.004000
Training Epoch: 8 [46592/48750]	Loss: 0.0317	LR: 0.004000
Training Epoch: 8 [46848/48750]	Loss: 0.0201	LR: 0.004000
Training Epoch: 8 [47104/48750]	Loss: 0.0185	LR: 0.004000
Training Epoch: 8 [47360/48750]	Loss: 0.0189	LR: 0.004000
Training Epoch: 8 [47616/48750]	Loss: 0.0125	LR: 0.004000
Training Epoch: 8 [47872/48750]	Loss: 0.0211	LR: 0.004000
Training Epoch: 8 [48128/48750]	Loss: 0.0245	LR: 0.004000
Training Epoch: 8 [48384/48750]	Loss: 0.0183	LR: 0.004000
Training Epoch: 8 [48640/48750]	Loss: 0.0130	LR: 0.004000
Training Epoch: 8 [48750/48750]	Loss: 0.0426	LR: 0.004000
Epoch 8 - Average Train Loss: 0.0249, Train Accuracy: 0.9974
Epoch 8 training time consumed: 19.13s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0027, Accuracy: 0.8156, Time consumed:1.03s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_20h_54m_54s/ResNet18-Cifar10-seed5-ret75-8-best.pth
Training Epoch: 9 [256/48750]	Loss: 0.0150	LR: 0.000800
Training Epoch: 9 [512/48750]	Loss: 0.0119	LR: 0.000800
Training Epoch: 9 [768/48750]	Loss: 0.0170	LR: 0.000800
Training Epoch: 9 [1024/48750]	Loss: 0.0171	LR: 0.000800
Training Epoch: 9 [1280/48750]	Loss: 0.0127	LR: 0.000800
Training Epoch: 9 [1536/48750]	Loss: 0.0118	LR: 0.000800
Training Epoch: 9 [1792/48750]	Loss: 0.0170	LR: 0.000800
Training Epoch: 9 [2048/48750]	Loss: 0.0129	LR: 0.000800
Training Epoch: 9 [2304/48750]	Loss: 0.0167	LR: 0.000800
Training Epoch: 9 [2560/48750]	Loss: 0.0124	LR: 0.000800
Training Epoch: 9 [2816/48750]	Loss: 0.0185	LR: 0.000800
Training Epoch: 9 [3072/48750]	Loss: 0.0124	LR: 0.000800
Training Epoch: 9 [3328/48750]	Loss: 0.0101	LR: 0.000800
Training Epoch: 9 [3584/48750]	Loss: 0.0107	LR: 0.000800
Training Epoch: 9 [3840/48750]	Loss: 0.0131	LR: 0.000800
Training Epoch: 9 [4096/48750]	Loss: 0.0136	LR: 0.000800
Training Epoch: 9 [4352/48750]	Loss: 0.0082	LR: 0.000800
Training Epoch: 9 [4608/48750]	Loss: 0.0129	LR: 0.000800
Training Epoch: 9 [4864/48750]	Loss: 0.0124	LR: 0.000800
Training Epoch: 9 [5120/48750]	Loss: 0.0123	LR: 0.000800
Training Epoch: 9 [5376/48750]	Loss: 0.0153	LR: 0.000800
Training Epoch: 9 [5632/48750]	Loss: 0.0125	LR: 0.000800
Training Epoch: 9 [5888/48750]	Loss: 0.0149	LR: 0.000800
Training Epoch: 9 [6144/48750]	Loss: 0.0153	LR: 0.000800
Training Epoch: 9 [6400/48750]	Loss: 0.0124	LR: 0.000800
Training Epoch: 9 [6656/48750]	Loss: 0.0130	LR: 0.000800
Training Epoch: 9 [6912/48750]	Loss: 0.0138	LR: 0.000800
Training Epoch: 9 [7168/48750]	Loss: 0.0132	LR: 0.000800
Training Epoch: 9 [7424/48750]	Loss: 0.0105	LR: 0.000800
Training Epoch: 9 [7680/48750]	Loss: 0.0100	LR: 0.000800
Training Epoch: 9 [7936/48750]	Loss: 0.0136	LR: 0.000800
Training Epoch: 9 [8192/48750]	Loss: 0.0136	LR: 0.000800
Training Epoch: 9 [8448/48750]	Loss: 0.0120	LR: 0.000800
Training Epoch: 9 [8704/48750]	Loss: 0.0108	LR: 0.000800
Training Epoch: 9 [8960/48750]	Loss: 0.0109	LR: 0.000800
Training Epoch: 9 [9216/48750]	Loss: 0.0122	LR: 0.000800
Training Epoch: 9 [9472/48750]	Loss: 0.0113	LR: 0.000800
Training Epoch: 9 [9728/48750]	Loss: 0.0122	LR: 0.000800
Training Epoch: 9 [9984/48750]	Loss: 0.0091	LR: 0.000800
Training Epoch: 9 [10240/48750]	Loss: 0.0092	LR: 0.000800
Training Epoch: 9 [10496/48750]	Loss: 0.0125	LR: 0.000800
Training Epoch: 9 [10752/48750]	Loss: 0.0101	LR: 0.000800
Training Epoch: 9 [11008/48750]	Loss: 0.0109	LR: 0.000800
Training Epoch: 9 [11264/48750]	Loss: 0.0091	LR: 0.000800
Training Epoch: 9 [11520/48750]	Loss: 0.0114	LR: 0.000800
Training Epoch: 9 [11776/48750]	Loss: 0.0063	LR: 0.000800
Training Epoch: 9 [12032/48750]	Loss: 0.0131	LR: 0.000800
Training Epoch: 9 [12288/48750]	Loss: 0.0112	LR: 0.000800
Training Epoch: 9 [12544/48750]	Loss: 0.0099	LR: 0.000800
Training Epoch: 9 [12800/48750]	Loss: 0.0148	LR: 0.000800
Training Epoch: 9 [13056/48750]	Loss: 0.0118	LR: 0.000800
Training Epoch: 9 [13312/48750]	Loss: 0.0126	LR: 0.000800
Training Epoch: 9 [13568/48750]	Loss: 0.0120	LR: 0.000800
Training Epoch: 9 [13824/48750]	Loss: 0.0189	LR: 0.000800
Training Epoch: 9 [14080/48750]	Loss: 0.0087	LR: 0.000800
Training Epoch: 9 [14336/48750]	Loss: 0.0119	LR: 0.000800
Training Epoch: 9 [14592/48750]	Loss: 0.0111	LR: 0.000800
Training Epoch: 9 [14848/48750]	Loss: 0.0150	LR: 0.000800
Training Epoch: 9 [15104/48750]	Loss: 0.0092	LR: 0.000800
Training Epoch: 9 [15360/48750]	Loss: 0.0104	LR: 0.000800
Training Epoch: 9 [15616/48750]	Loss: 0.0099	LR: 0.000800
Training Epoch: 9 [15872/48750]	Loss: 0.0130	LR: 0.000800
Training Epoch: 9 [16128/48750]	Loss: 0.0130	LR: 0.000800
Training Epoch: 9 [16384/48750]	Loss: 0.0108	LR: 0.000800
Training Epoch: 9 [16640/48750]	Loss: 0.0073	LR: 0.000800
Training Epoch: 9 [16896/48750]	Loss: 0.0096	LR: 0.000800
Training Epoch: 9 [17152/48750]	Loss: 0.0148	LR: 0.000800
Training Epoch: 9 [17408/48750]	Loss: 0.0103	LR: 0.000800
Training Epoch: 9 [17664/48750]	Loss: 0.0112	LR: 0.000800
Training Epoch: 9 [17920/48750]	Loss: 0.0118	LR: 0.000800
Training Epoch: 9 [18176/48750]	Loss: 0.0094	LR: 0.000800
Training Epoch: 9 [18432/48750]	Loss: 0.0105	LR: 0.000800
Training Epoch: 9 [18688/48750]	Loss: 0.0111	LR: 0.000800
Training Epoch: 9 [18944/48750]	Loss: 0.0114	LR: 0.000800
Training Epoch: 9 [19200/48750]	Loss: 0.0148	LR: 0.000800
Training Epoch: 9 [19456/48750]	Loss: 0.0142	LR: 0.000800
Training Epoch: 9 [19712/48750]	Loss: 0.0101	LR: 0.000800
Training Epoch: 9 [19968/48750]	Loss: 0.0129	LR: 0.000800
Training Epoch: 9 [20224/48750]	Loss: 0.0194	LR: 0.000800
Training Epoch: 9 [20480/48750]	Loss: 0.0122	LR: 0.000800
Training Epoch: 9 [20736/48750]	Loss: 0.0081	LR: 0.000800
Training Epoch: 9 [20992/48750]	Loss: 0.0090	LR: 0.000800
Training Epoch: 9 [21248/48750]	Loss: 0.0180	LR: 0.000800
Training Epoch: 9 [21504/48750]	Loss: 0.0092	LR: 0.000800
Training Epoch: 9 [21760/48750]	Loss: 0.0146	LR: 0.000800
Training Epoch: 9 [22016/48750]	Loss: 0.0102	LR: 0.000800
Training Epoch: 9 [22272/48750]	Loss: 0.0143	LR: 0.000800
Training Epoch: 9 [22528/48750]	Loss: 0.0111	LR: 0.000800
Training Epoch: 9 [22784/48750]	Loss: 0.0099	LR: 0.000800
Training Epoch: 9 [23040/48750]	Loss: 0.0104	LR: 0.000800
Training Epoch: 9 [23296/48750]	Loss: 0.0110	LR: 0.000800
Training Epoch: 9 [23552/48750]	Loss: 0.0087	LR: 0.000800
Training Epoch: 9 [23808/48750]	Loss: 0.0114	LR: 0.000800
Training Epoch: 9 [24064/48750]	Loss: 0.0092	LR: 0.000800
Training Epoch: 9 [24320/48750]	Loss: 0.0126	LR: 0.000800
Training Epoch: 9 [24576/48750]	Loss: 0.0091	LR: 0.000800
Training Epoch: 9 [24832/48750]	Loss: 0.0120	LR: 0.000800
Training Epoch: 9 [25088/48750]	Loss: 0.0125	LR: 0.000800
Training Epoch: 9 [25344/48750]	Loss: 0.0151	LR: 0.000800
Training Epoch: 9 [25600/48750]	Loss: 0.0122	LR: 0.000800
Training Epoch: 9 [25856/48750]	Loss: 0.0113	LR: 0.000800
Training Epoch: 9 [26112/48750]	Loss: 0.0087	LR: 0.000800
Training Epoch: 9 [26368/48750]	Loss: 0.0079	LR: 0.000800
Training Epoch: 9 [26624/48750]	Loss: 0.0090	LR: 0.000800
Training Epoch: 9 [26880/48750]	Loss: 0.0099	LR: 0.000800
Training Epoch: 9 [27136/48750]	Loss: 0.0111	LR: 0.000800
Training Epoch: 9 [27392/48750]	Loss: 0.0120	LR: 0.000800
Training Epoch: 9 [27648/48750]	Loss: 0.0109	LR: 0.000800
Training Epoch: 9 [27904/48750]	Loss: 0.0087	LR: 0.000800
Training Epoch: 9 [28160/48750]	Loss: 0.0078	LR: 0.000800
Training Epoch: 9 [28416/48750]	Loss: 0.0096	LR: 0.000800
Training Epoch: 9 [28672/48750]	Loss: 0.0065	LR: 0.000800
Training Epoch: 9 [28928/48750]	Loss: 0.0107	LR: 0.000800
Training Epoch: 9 [29184/48750]	Loss: 0.0109	LR: 0.000800
Training Epoch: 9 [29440/48750]	Loss: 0.0132	LR: 0.000800
Training Epoch: 9 [29696/48750]	Loss: 0.0112	LR: 0.000800
Training Epoch: 9 [29952/48750]	Loss: 0.0090	LR: 0.000800
Training Epoch: 9 [30208/48750]	Loss: 0.0114	LR: 0.000800
Training Epoch: 9 [30464/48750]	Loss: 0.0143	LR: 0.000800
Training Epoch: 9 [30720/48750]	Loss: 0.0102	LR: 0.000800
Training Epoch: 9 [30976/48750]	Loss: 0.0287	LR: 0.000800
Training Epoch: 9 [31232/48750]	Loss: 0.0089	LR: 0.000800
Training Epoch: 9 [31488/48750]	Loss: 0.0114	LR: 0.000800
Training Epoch: 9 [31744/48750]	Loss: 0.0104	LR: 0.000800
Training Epoch: 9 [32000/48750]	Loss: 0.0092	LR: 0.000800
Training Epoch: 9 [32256/48750]	Loss: 0.0099	LR: 0.000800
Training Epoch: 9 [32512/48750]	Loss: 0.0092	LR: 0.000800
Training Epoch: 9 [32768/48750]	Loss: 0.0097	LR: 0.000800
Training Epoch: 9 [33024/48750]	Loss: 0.0099	LR: 0.000800
Training Epoch: 9 [33280/48750]	Loss: 0.0080	LR: 0.000800
Training Epoch: 9 [33536/48750]	Loss: 0.0076	LR: 0.000800
Training Epoch: 9 [33792/48750]	Loss: 0.0087	LR: 0.000800
Training Epoch: 9 [34048/48750]	Loss: 0.0097	LR: 0.000800
Training Epoch: 9 [34304/48750]	Loss: 0.0107	LR: 0.000800
Training Epoch: 9 [34560/48750]	Loss: 0.0087	LR: 0.000800
Training Epoch: 9 [34816/48750]	Loss: 0.0153	LR: 0.000800
Training Epoch: 9 [35072/48750]	Loss: 0.0169	LR: 0.000800
Training Epoch: 9 [35328/48750]	Loss: 0.0087	LR: 0.000800
Training Epoch: 9 [35584/48750]	Loss: 0.0090	LR: 0.000800
Training Epoch: 9 [35840/48750]	Loss: 0.0111	LR: 0.000800
Training Epoch: 9 [36096/48750]	Loss: 0.0080	LR: 0.000800
Training Epoch: 9 [36352/48750]	Loss: 0.0104	LR: 0.000800
Training Epoch: 9 [36608/48750]	Loss: 0.0137	LR: 0.000800
Training Epoch: 9 [36864/48750]	Loss: 0.0099	LR: 0.000800
Training Epoch: 9 [37120/48750]	Loss: 0.0131	LR: 0.000800
Training Epoch: 9 [37376/48750]	Loss: 0.0077	LR: 0.000800
Training Epoch: 9 [37632/48750]	Loss: 0.0107	LR: 0.000800
Training Epoch: 9 [37888/48750]	Loss: 0.0102	LR: 0.000800
Training Epoch: 9 [38144/48750]	Loss: 0.0099	LR: 0.000800
Training Epoch: 9 [38400/48750]	Loss: 0.0121	LR: 0.000800
Training Epoch: 9 [38656/48750]	Loss: 0.0143	LR: 0.000800
Training Epoch: 9 [38912/48750]	Loss: 0.0141	LR: 0.000800
Training Epoch: 9 [39168/48750]	Loss: 0.0115	LR: 0.000800
Training Epoch: 9 [39424/48750]	Loss: 0.0078	LR: 0.000800
Training Epoch: 9 [39680/48750]	Loss: 0.0096	LR: 0.000800
Training Epoch: 9 [39936/48750]	Loss: 0.0105	LR: 0.000800
Training Epoch: 9 [40192/48750]	Loss: 0.0098	LR: 0.000800
Training Epoch: 9 [40448/48750]	Loss: 0.0084	LR: 0.000800
Training Epoch: 9 [40704/48750]	Loss: 0.0114	LR: 0.000800
Training Epoch: 9 [40960/48750]	Loss: 0.0074	LR: 0.000800
Training Epoch: 9 [41216/48750]	Loss: 0.0126	LR: 0.000800
Training Epoch: 9 [41472/48750]	Loss: 0.0162	LR: 0.000800
Training Epoch: 9 [41728/48750]	Loss: 0.0114	LR: 0.000800
Training Epoch: 9 [41984/48750]	Loss: 0.0092	LR: 0.000800
Training Epoch: 9 [42240/48750]	Loss: 0.0073	LR: 0.000800
Training Epoch: 9 [42496/48750]	Loss: 0.0079	LR: 0.000800
Training Epoch: 9 [42752/48750]	Loss: 0.0110	LR: 0.000800
Training Epoch: 9 [43008/48750]	Loss: 0.0093	LR: 0.000800
Training Epoch: 9 [43264/48750]	Loss: 0.0103	LR: 0.000800
Training Epoch: 9 [43520/48750]	Loss: 0.0087	LR: 0.000800
Training Epoch: 9 [43776/48750]	Loss: 0.0109	LR: 0.000800
Training Epoch: 9 [44032/48750]	Loss: 0.0072	LR: 0.000800
Training Epoch: 9 [44288/48750]	Loss: 0.0104	LR: 0.000800
Training Epoch: 9 [44544/48750]	Loss: 0.0117	LR: 0.000800
Training Epoch: 9 [44800/48750]	Loss: 0.0104	LR: 0.000800
Training Epoch: 9 [45056/48750]	Loss: 0.0101	LR: 0.000800
Training Epoch: 9 [45312/48750]	Loss: 0.0112	LR: 0.000800
Training Epoch: 9 [45568/48750]	Loss: 0.0115	LR: 0.000800
Training Epoch: 9 [45824/48750]	Loss: 0.0119	LR: 0.000800
Training Epoch: 9 [46080/48750]	Loss: 0.0098	LR: 0.000800
Training Epoch: 9 [46336/48750]	Loss: 0.0089	LR: 0.000800
Training Epoch: 9 [46592/48750]	Loss: 0.0103	LR: 0.000800
Training Epoch: 9 [46848/48750]	Loss: 0.0157	LR: 0.000800
Training Epoch: 9 [47104/48750]	Loss: 0.0090	LR: 0.000800
Training Epoch: 9 [47360/48750]	Loss: 0.0167	LR: 0.000800
Training Epoch: 9 [47616/48750]	Loss: 0.0136	LR: 0.000800
Training Epoch: 9 [47872/48750]	Loss: 0.0132	LR: 0.000800
Training Epoch: 9 [48128/48750]	Loss: 0.0078	LR: 0.000800
Training Epoch: 9 [48384/48750]	Loss: 0.0108	LR: 0.000800
Training Epoch: 9 [48640/48750]	Loss: 0.0115	LR: 0.000800
Training Epoch: 9 [48750/48750]	Loss: 0.0337	LR: 0.000800
Epoch 9 - Average Train Loss: 0.0115, Train Accuracy: 0.9998
Epoch 9 training time consumed: 18.93s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0026, Accuracy: 0.8217, Time consumed:1.02s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_20h_54m_54s/ResNet18-Cifar10-seed5-ret75-9-best.pth
Training Epoch: 10 [256/48750]	Loss: 0.0090	LR: 0.000800
Training Epoch: 10 [512/48750]	Loss: 0.0087	LR: 0.000800
Training Epoch: 10 [768/48750]	Loss: 0.0077	LR: 0.000800
Training Epoch: 10 [1024/48750]	Loss: 0.0090	LR: 0.000800
Training Epoch: 10 [1280/48750]	Loss: 0.0090	LR: 0.000800
Training Epoch: 10 [1536/48750]	Loss: 0.0148	LR: 0.000800
Training Epoch: 10 [1792/48750]	Loss: 0.0121	LR: 0.000800
Training Epoch: 10 [2048/48750]	Loss: 0.0100	LR: 0.000800
Training Epoch: 10 [2304/48750]	Loss: 0.0088	LR: 0.000800
Training Epoch: 10 [2560/48750]	Loss: 0.0131	LR: 0.000800
Training Epoch: 10 [2816/48750]	Loss: 0.0109	LR: 0.000800
Training Epoch: 10 [3072/48750]	Loss: 0.0089	LR: 0.000800
Training Epoch: 10 [3328/48750]	Loss: 0.0108	LR: 0.000800
Training Epoch: 10 [3584/48750]	Loss: 0.0089	LR: 0.000800
Training Epoch: 10 [3840/48750]	Loss: 0.0120	LR: 0.000800
Training Epoch: 10 [4096/48750]	Loss: 0.0118	LR: 0.000800
Training Epoch: 10 [4352/48750]	Loss: 0.0077	LR: 0.000800
Training Epoch: 10 [4608/48750]	Loss: 0.0072	LR: 0.000800
Training Epoch: 10 [4864/48750]	Loss: 0.0088	LR: 0.000800
Training Epoch: 10 [5120/48750]	Loss: 0.0101	LR: 0.000800
Training Epoch: 10 [5376/48750]	Loss: 0.0076	LR: 0.000800
Training Epoch: 10 [5632/48750]	Loss: 0.0100	LR: 0.000800
Training Epoch: 10 [5888/48750]	Loss: 0.0083	LR: 0.000800
Training Epoch: 10 [6144/48750]	Loss: 0.0111	LR: 0.000800
Training Epoch: 10 [6400/48750]	Loss: 0.0120	LR: 0.000800
Training Epoch: 10 [6656/48750]	Loss: 0.0112	LR: 0.000800
Training Epoch: 10 [6912/48750]	Loss: 0.0072	LR: 0.000800
Training Epoch: 10 [7168/48750]	Loss: 0.0061	LR: 0.000800
Training Epoch: 10 [7424/48750]	Loss: 0.0122	LR: 0.000800
Training Epoch: 10 [7680/48750]	Loss: 0.0102	LR: 0.000800
Training Epoch: 10 [7936/48750]	Loss: 0.0116	LR: 0.000800
Training Epoch: 10 [8192/48750]	Loss: 0.0109	LR: 0.000800
Training Epoch: 10 [8448/48750]	Loss: 0.0103	LR: 0.000800
Training Epoch: 10 [8704/48750]	Loss: 0.0107	LR: 0.000800
Training Epoch: 10 [8960/48750]	Loss: 0.0079	LR: 0.000800
Training Epoch: 10 [9216/48750]	Loss: 0.0128	LR: 0.000800
Training Epoch: 10 [9472/48750]	Loss: 0.0085	LR: 0.000800
Training Epoch: 10 [9728/48750]	Loss: 0.0134	LR: 0.000800
Training Epoch: 10 [9984/48750]	Loss: 0.0081	LR: 0.000800
Training Epoch: 10 [10240/48750]	Loss: 0.0096	LR: 0.000800
Training Epoch: 10 [10496/48750]	Loss: 0.0075	LR: 0.000800
Training Epoch: 10 [10752/48750]	Loss: 0.0081	LR: 0.000800
Training Epoch: 10 [11008/48750]	Loss: 0.0105	LR: 0.000800
Training Epoch: 10 [11264/48750]	Loss: 0.0138	LR: 0.000800
Training Epoch: 10 [11520/48750]	Loss: 0.0088	LR: 0.000800
Training Epoch: 10 [11776/48750]	Loss: 0.0086	LR: 0.000800
Training Epoch: 10 [12032/48750]	Loss: 0.0073	LR: 0.000800
Training Epoch: 10 [12288/48750]	Loss: 0.0087	LR: 0.000800
Training Epoch: 10 [12544/48750]	Loss: 0.0105	LR: 0.000800
Training Epoch: 10 [12800/48750]	Loss: 0.0098	LR: 0.000800
Training Epoch: 10 [13056/48750]	Loss: 0.0087	LR: 0.000800
Training Epoch: 10 [13312/48750]	Loss: 0.0085	LR: 0.000800
Training Epoch: 10 [13568/48750]	Loss: 0.0091	LR: 0.000800
Training Epoch: 10 [13824/48750]	Loss: 0.0069	LR: 0.000800
Training Epoch: 10 [14080/48750]	Loss: 0.0091	LR: 0.000800
Training Epoch: 10 [14336/48750]	Loss: 0.0104	LR: 0.000800
Training Epoch: 10 [14592/48750]	Loss: 0.0073	LR: 0.000800
Training Epoch: 10 [14848/48750]	Loss: 0.0072	LR: 0.000800
Training Epoch: 10 [15104/48750]	Loss: 0.0076	LR: 0.000800
Training Epoch: 10 [15360/48750]	Loss: 0.0071	LR: 0.000800
Training Epoch: 10 [15616/48750]	Loss: 0.0109	LR: 0.000800
Training Epoch: 10 [15872/48750]	Loss: 0.0101	LR: 0.000800
Training Epoch: 10 [16128/48750]	Loss: 0.0095	LR: 0.000800
Training Epoch: 10 [16384/48750]	Loss: 0.0089	LR: 0.000800
Training Epoch: 10 [16640/48750]	Loss: 0.0082	LR: 0.000800
Training Epoch: 10 [16896/48750]	Loss: 0.0107	LR: 0.000800
Training Epoch: 10 [17152/48750]	Loss: 0.0118	LR: 0.000800
Training Epoch: 10 [17408/48750]	Loss: 0.0080	LR: 0.000800
Training Epoch: 10 [17664/48750]	Loss: 0.0094	LR: 0.000800
Training Epoch: 10 [17920/48750]	Loss: 0.0104	LR: 0.000800
Training Epoch: 10 [18176/48750]	Loss: 0.0086	LR: 0.000800
Training Epoch: 10 [18432/48750]	Loss: 0.0088	LR: 0.000800
Training Epoch: 10 [18688/48750]	Loss: 0.0119	LR: 0.000800
Training Epoch: 10 [18944/48750]	Loss: 0.0091	LR: 0.000800
Training Epoch: 10 [19200/48750]	Loss: 0.0089	LR: 0.000800
Training Epoch: 10 [19456/48750]	Loss: 0.0085	LR: 0.000800
Training Epoch: 10 [19712/48750]	Loss: 0.0083	LR: 0.000800
Training Epoch: 10 [19968/48750]	Loss: 0.0097	LR: 0.000800
Training Epoch: 10 [20224/48750]	Loss: 0.0095	LR: 0.000800
Training Epoch: 10 [20480/48750]	Loss: 0.0088	LR: 0.000800
Training Epoch: 10 [20736/48750]	Loss: 0.0075	LR: 0.000800
Training Epoch: 10 [20992/48750]	Loss: 0.0094	LR: 0.000800
Training Epoch: 10 [21248/48750]	Loss: 0.0101	LR: 0.000800
Training Epoch: 10 [21504/48750]	Loss: 0.0090	LR: 0.000800
Training Epoch: 10 [21760/48750]	Loss: 0.0081	LR: 0.000800
Training Epoch: 10 [22016/48750]	Loss: 0.0102	LR: 0.000800
Training Epoch: 10 [22272/48750]	Loss: 0.0100	LR: 0.000800
Training Epoch: 10 [22528/48750]	Loss: 0.0085	LR: 0.000800
Training Epoch: 10 [22784/48750]	Loss: 0.0098	LR: 0.000800
Training Epoch: 10 [23040/48750]	Loss: 0.0130	LR: 0.000800
Training Epoch: 10 [23296/48750]	Loss: 0.0076	LR: 0.000800
Training Epoch: 10 [23552/48750]	Loss: 0.0085	LR: 0.000800
Training Epoch: 10 [23808/48750]	Loss: 0.0066	LR: 0.000800
Training Epoch: 10 [24064/48750]	Loss: 0.0074	LR: 0.000800
Training Epoch: 10 [24320/48750]	Loss: 0.0110	LR: 0.000800
Training Epoch: 10 [24576/48750]	Loss: 0.0100	LR: 0.000800
Training Epoch: 10 [24832/48750]	Loss: 0.0069	LR: 0.000800
Training Epoch: 10 [25088/48750]	Loss: 0.0093	LR: 0.000800
Training Epoch: 10 [25344/48750]	Loss: 0.0074	LR: 0.000800
Training Epoch: 10 [25600/48750]	Loss: 0.0107	LR: 0.000800
Training Epoch: 10 [25856/48750]	Loss: 0.0092	LR: 0.000800
Training Epoch: 10 [26112/48750]	Loss: 0.0076	LR: 0.000800
Training Epoch: 10 [26368/48750]	Loss: 0.0090	LR: 0.000800
Training Epoch: 10 [26624/48750]	Loss: 0.0097	LR: 0.000800
Training Epoch: 10 [26880/48750]	Loss: 0.0085	LR: 0.000800
Training Epoch: 10 [27136/48750]	Loss: 0.0081	LR: 0.000800
Training Epoch: 10 [27392/48750]	Loss: 0.0073	LR: 0.000800
Training Epoch: 10 [27648/48750]	Loss: 0.0071	LR: 0.000800
Training Epoch: 10 [27904/48750]	Loss: 0.0088	LR: 0.000800
Training Epoch: 10 [28160/48750]	Loss: 0.0141	LR: 0.000800
Training Epoch: 10 [28416/48750]	Loss: 0.0067	LR: 0.000800
Training Epoch: 10 [28672/48750]	Loss: 0.0087	LR: 0.000800
Training Epoch: 10 [28928/48750]	Loss: 0.0075	LR: 0.000800
Training Epoch: 10 [29184/48750]	Loss: 0.0103	LR: 0.000800
Training Epoch: 10 [29440/48750]	Loss: 0.0094	LR: 0.000800
Training Epoch: 10 [29696/48750]	Loss: 0.0143	LR: 0.000800
Training Epoch: 10 [29952/48750]	Loss: 0.0093	LR: 0.000800
Training Epoch: 10 [30208/48750]	Loss: 0.0121	LR: 0.000800
Training Epoch: 10 [30464/48750]	Loss: 0.0094	LR: 0.000800
Training Epoch: 10 [30720/48750]	Loss: 0.0116	LR: 0.000800
Training Epoch: 10 [30976/48750]	Loss: 0.0141	LR: 0.000800
Training Epoch: 10 [31232/48750]	Loss: 0.0085	LR: 0.000800
Training Epoch: 10 [31488/48750]	Loss: 0.0160	LR: 0.000800
Training Epoch: 10 [31744/48750]	Loss: 0.0089	LR: 0.000800
Training Epoch: 10 [32000/48750]	Loss: 0.0086	LR: 0.000800
Training Epoch: 10 [32256/48750]	Loss: 0.0079	LR: 0.000800
Training Epoch: 10 [32512/48750]	Loss: 0.0099	LR: 0.000800
Training Epoch: 10 [32768/48750]	Loss: 0.0069	LR: 0.000800
Training Epoch: 10 [33024/48750]	Loss: 0.0082	LR: 0.000800
Training Epoch: 10 [33280/48750]	Loss: 0.0081	LR: 0.000800
Training Epoch: 10 [33536/48750]	Loss: 0.0082	LR: 0.000800
Training Epoch: 10 [33792/48750]	Loss: 0.0083	LR: 0.000800
Training Epoch: 10 [34048/48750]	Loss: 0.0104	LR: 0.000800
Training Epoch: 10 [34304/48750]	Loss: 0.0102	LR: 0.000800
Training Epoch: 10 [34560/48750]	Loss: 0.0086	LR: 0.000800
Training Epoch: 10 [34816/48750]	Loss: 0.0104	LR: 0.000800
Training Epoch: 10 [35072/48750]	Loss: 0.0098	LR: 0.000800
Training Epoch: 10 [35328/48750]	Loss: 0.0084	LR: 0.000800
Training Epoch: 10 [35584/48750]	Loss: 0.0087	LR: 0.000800
Training Epoch: 10 [35840/48750]	Loss: 0.0095	LR: 0.000800
Training Epoch: 10 [36096/48750]	Loss: 0.0079	LR: 0.000800
Training Epoch: 10 [36352/48750]	Loss: 0.0098	LR: 0.000800
Training Epoch: 10 [36608/48750]	Loss: 0.0092	LR: 0.000800
Training Epoch: 10 [36864/48750]	Loss: 0.0080	LR: 0.000800
Training Epoch: 10 [37120/48750]	Loss: 0.0073	LR: 0.000800
Training Epoch: 10 [37376/48750]	Loss: 0.0079	LR: 0.000800
Training Epoch: 10 [37632/48750]	Loss: 0.0079	LR: 0.000800
Training Epoch: 10 [37888/48750]	Loss: 0.0100	LR: 0.000800
Training Epoch: 10 [38144/48750]	Loss: 0.0089	LR: 0.000800
Training Epoch: 10 [38400/48750]	Loss: 0.0087	LR: 0.000800
Training Epoch: 10 [38656/48750]	Loss: 0.0089	LR: 0.000800
Training Epoch: 10 [38912/48750]	Loss: 0.0104	LR: 0.000800
Training Epoch: 10 [39168/48750]	Loss: 0.0080	LR: 0.000800
Training Epoch: 10 [39424/48750]	Loss: 0.0071	LR: 0.000800
Training Epoch: 10 [39680/48750]	Loss: 0.0108	LR: 0.000800
Training Epoch: 10 [39936/48750]	Loss: 0.0111	LR: 0.000800
Training Epoch: 10 [40192/48750]	Loss: 0.0084	LR: 0.000800
Training Epoch: 10 [40448/48750]	Loss: 0.0079	LR: 0.000800
Training Epoch: 10 [40704/48750]	Loss: 0.0076	LR: 0.000800
Training Epoch: 10 [40960/48750]	Loss: 0.0089	LR: 0.000800
Training Epoch: 10 [41216/48750]	Loss: 0.0078	LR: 0.000800
Training Epoch: 10 [41472/48750]	Loss: 0.0083	LR: 0.000800
Training Epoch: 10 [41728/48750]	Loss: 0.0088	LR: 0.000800
Training Epoch: 10 [41984/48750]	Loss: 0.0091	LR: 0.000800
Training Epoch: 10 [42240/48750]	Loss: 0.0095	LR: 0.000800
Training Epoch: 10 [42496/48750]	Loss: 0.0097	LR: 0.000800
Training Epoch: 10 [42752/48750]	Loss: 0.0089	LR: 0.000800
Training Epoch: 10 [43008/48750]	Loss: 0.0080	LR: 0.000800
Training Epoch: 10 [43264/48750]	Loss: 0.0084	LR: 0.000800
Training Epoch: 10 [43520/48750]	Loss: 0.0115	LR: 0.000800
Training Epoch: 10 [43776/48750]	Loss: 0.0082	LR: 0.000800
Training Epoch: 10 [44032/48750]	Loss: 0.0086	LR: 0.000800
Training Epoch: 10 [44288/48750]	Loss: 0.0125	LR: 0.000800
Training Epoch: 10 [44544/48750]	Loss: 0.0106	LR: 0.000800
Training Epoch: 10 [44800/48750]	Loss: 0.0117	LR: 0.000800
Training Epoch: 10 [45056/48750]	Loss: 0.0077	LR: 0.000800
Training Epoch: 10 [45312/48750]	Loss: 0.0100	LR: 0.000800
Training Epoch: 10 [45568/48750]	Loss: 0.0098	LR: 0.000800
Training Epoch: 10 [45824/48750]	Loss: 0.0107	LR: 0.000800
Training Epoch: 10 [46080/48750]	Loss: 0.0115	LR: 0.000800
Training Epoch: 10 [46336/48750]	Loss: 0.0103	LR: 0.000800
Training Epoch: 10 [46592/48750]	Loss: 0.0092	LR: 0.000800
Training Epoch: 10 [46848/48750]	Loss: 0.0080	LR: 0.000800
Training Epoch: 10 [47104/48750]	Loss: 0.0070	LR: 0.000800
Training Epoch: 10 [47360/48750]	Loss: 0.0059	LR: 0.000800
Training Epoch: 10 [47616/48750]	Loss: 0.0099	LR: 0.000800
Training Epoch: 10 [47872/48750]	Loss: 0.0094	LR: 0.000800
Training Epoch: 10 [48128/48750]	Loss: 0.0098	LR: 0.000800
Training Epoch: 10 [48384/48750]	Loss: 0.0226	LR: 0.000800
Training Epoch: 10 [48640/48750]	Loss: 0.0077	LR: 0.000800
Training Epoch: 10 [48750/48750]	Loss: 0.0082	LR: 0.000800
Epoch 10 - Average Train Loss: 0.0094, Train Accuracy: 0.9999
Epoch 10 training time consumed: 19.14s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0027, Accuracy: 0.8214, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_20h_54m_54s/ResNet18-Cifar10-seed5-ret75-10-best.pth
Valid (Test) Dl:  10000
Train Dl:  50000
Retain Train Dl:  48750
Forget Train Dl:  1250
Retain Valid Dl:  48750
Forget Valid Dl:  1250
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 1250 samples
Set1 Distribution: 1250 samples
Set2 Distribution: 1250 samples
Set1 Distribution: 1250 samples
Set2 Distribution: 1250 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Test Accuracy: 81.97265625
Retain Accuracy: 99.99386596679688
Zero-Retain Forget (ZRF): 0.755936861038208
Membership Inference Attack (MIA): 0.6288
Forget vs Retain Membership Inference Attack (MIA): 0.572
Forget vs Test Membership Inference Attack (MIA): 0.514
Test vs Retain Membership Inference Attack (MIA): 0.6235
Train vs Test Membership Inference Attack (MIA): 0.62025
Forget Set Accuracy (Df): 83.95879364013672
Method Execution Time: 1128.39 seconds
