hello
hello
Labels

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

📌S Forget class distribution for seed 1:
Class 0: 500
Class 1: 500
Class 2: 500
Class 3: 500
Class 4: 500
Class 5: 500
Class 6: 500
Class 7: 500
Class 8: 500
Class 9: 500
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: 2.3903	LR: 0.000000
Training Epoch: 1 [512/48750]	Loss: 2.4031	LR: 0.000524
Training Epoch: 1 [768/48750]	Loss: 2.3490	LR: 0.001047
Training Epoch: 1 [1024/48750]	Loss: 2.3550	LR: 0.001571
Training Epoch: 1 [1280/48750]	Loss: 2.3186	LR: 0.002094
Training Epoch: 1 [1536/48750]	Loss: 2.2920	LR: 0.002618
Training Epoch: 1 [1792/48750]	Loss: 2.2388	LR: 0.003141
Training Epoch: 1 [2048/48750]	Loss: 2.2172	LR: 0.003665
Training Epoch: 1 [2304/48750]	Loss: 2.2415	LR: 0.004188
Training Epoch: 1 [2560/48750]	Loss: 2.2732	LR: 0.004712
Training Epoch: 1 [2816/48750]	Loss: 2.2576	LR: 0.005236
Training Epoch: 1 [3072/48750]	Loss: 2.1189	LR: 0.005759
Training Epoch: 1 [3328/48750]	Loss: 2.0650	LR: 0.006283
Training Epoch: 1 [3584/48750]	Loss: 2.0208	LR: 0.006806
Training Epoch: 1 [3840/48750]	Loss: 2.0460	LR: 0.007330
Training Epoch: 1 [4096/48750]	Loss: 1.9457	LR: 0.007853
Training Epoch: 1 [4352/48750]	Loss: 1.9102	LR: 0.008377
Training Epoch: 1 [4608/48750]	Loss: 1.9455	LR: 0.008901
Training Epoch: 1 [4864/48750]	Loss: 1.8835	LR: 0.009424
Training Epoch: 1 [5120/48750]	Loss: 1.8747	LR: 0.009948
Training Epoch: 1 [5376/48750]	Loss: 1.7938	LR: 0.010471
Training Epoch: 1 [5632/48750]	Loss: 1.7564	LR: 0.010995
Training Epoch: 1 [5888/48750]	Loss: 1.7857	LR: 0.011518
Training Epoch: 1 [6144/48750]	Loss: 1.6871	LR: 0.012042
Training Epoch: 1 [6400/48750]	Loss: 1.8048	LR: 0.012565
Training Epoch: 1 [6656/48750]	Loss: 1.7799	LR: 0.013089
Training Epoch: 1 [6912/48750]	Loss: 1.8081	LR: 0.013613
Training Epoch: 1 [7168/48750]	Loss: 1.7327	LR: 0.014136
Training Epoch: 1 [7424/48750]	Loss: 1.7317	LR: 0.014660
Training Epoch: 1 [7680/48750]	Loss: 1.7188	LR: 0.015183
Training Epoch: 1 [7936/48750]	Loss: 1.6848	LR: 0.015707
Training Epoch: 1 [8192/48750]	Loss: 1.7306	LR: 0.016230
Training Epoch: 1 [8448/48750]	Loss: 1.7252	LR: 0.016754
Training Epoch: 1 [8704/48750]	Loss: 1.8432	LR: 0.017277
Training Epoch: 1 [8960/48750]	Loss: 1.6447	LR: 0.017801
Training Epoch: 1 [9216/48750]	Loss: 1.8250	LR: 0.018325
Training Epoch: 1 [9472/48750]	Loss: 1.6435	LR: 0.018848
Training Epoch: 1 [9728/48750]	Loss: 1.7682	LR: 0.019372
Training Epoch: 1 [9984/48750]	Loss: 1.6973	LR: 0.019895
Training Epoch: 1 [10240/48750]	Loss: 1.6773	LR: 0.020419
Training Epoch: 1 [10496/48750]	Loss: 1.5614	LR: 0.020942
Training Epoch: 1 [10752/48750]	Loss: 1.5966	LR: 0.021466
Training Epoch: 1 [11008/48750]	Loss: 1.6331	LR: 0.021990
Training Epoch: 1 [11264/48750]	Loss: 1.6438	LR: 0.022513
Training Epoch: 1 [11520/48750]	Loss: 1.6142	LR: 0.023037
Training Epoch: 1 [11776/48750]	Loss: 1.6949	LR: 0.023560
Training Epoch: 1 [12032/48750]	Loss: 1.5882	LR: 0.024084
Training Epoch: 1 [12288/48750]	Loss: 1.7043	LR: 0.024607
Training Epoch: 1 [12544/48750]	Loss: 1.6502	LR: 0.025131
Training Epoch: 1 [12800/48750]	Loss: 1.4647	LR: 0.025654
Training Epoch: 1 [13056/48750]	Loss: 1.7817	LR: 0.026178
Training Epoch: 1 [13312/48750]	Loss: 1.5361	LR: 0.026702
Training Epoch: 1 [13568/48750]	Loss: 1.7094	LR: 0.027225
Training Epoch: 1 [13824/48750]	Loss: 1.6263	LR: 0.027749
Training Epoch: 1 [14080/48750]	Loss: 1.6747	LR: 0.028272
Training Epoch: 1 [14336/48750]	Loss: 1.6740	LR: 0.028796
Training Epoch: 1 [14592/48750]	Loss: 1.4801	LR: 0.029319
Training Epoch: 1 [14848/48750]	Loss: 1.5609	LR: 0.029843
Training Epoch: 1 [15104/48750]	Loss: 1.5323	LR: 0.030366
Training Epoch: 1 [15360/48750]	Loss: 1.6248	LR: 0.030890
Training Epoch: 1 [15616/48750]	Loss: 1.6175	LR: 0.031414
Training Epoch: 1 [15872/48750]	Loss: 1.4178	LR: 0.031937
Training Epoch: 1 [16128/48750]	Loss: 1.4947	LR: 0.032461
Training Epoch: 1 [16384/48750]	Loss: 1.5074	LR: 0.032984
Training Epoch: 1 [16640/48750]	Loss: 1.4832	LR: 0.033508
Training Epoch: 1 [16896/48750]	Loss: 1.6610	LR: 0.034031
Training Epoch: 1 [17152/48750]	Loss: 1.5064	LR: 0.034555
Training Epoch: 1 [17408/48750]	Loss: 1.5349	LR: 0.035079
Training Epoch: 1 [17664/48750]	Loss: 1.5076	LR: 0.035602
Training Epoch: 1 [17920/48750]	Loss: 1.8339	LR: 0.036126
Training Epoch: 1 [18176/48750]	Loss: 1.5097	LR: 0.036649
Training Epoch: 1 [18432/48750]	Loss: 1.5714	LR: 0.037173
Training Epoch: 1 [18688/48750]	Loss: 1.5917	LR: 0.037696
Training Epoch: 1 [18944/48750]	Loss: 1.6400	LR: 0.038220
Training Epoch: 1 [19200/48750]	Loss: 1.6253	LR: 0.038743
Training Epoch: 1 [19456/48750]	Loss: 1.5857	LR: 0.039267
Training Epoch: 1 [19712/48750]	Loss: 1.5237	LR: 0.039791
Training Epoch: 1 [19968/48750]	Loss: 1.5836	LR: 0.040314
Training Epoch: 1 [20224/48750]	Loss: 1.4743	LR: 0.040838
Training Epoch: 1 [20480/48750]	Loss: 1.4622	LR: 0.041361
Training Epoch: 1 [20736/48750]	Loss: 1.3579	LR: 0.041885
Training Epoch: 1 [20992/48750]	Loss: 1.4524	LR: 0.042408
Training Epoch: 1 [21248/48750]	Loss: 1.3348	LR: 0.042932
Training Epoch: 1 [21504/48750]	Loss: 1.4311	LR: 0.043455
Training Epoch: 1 [21760/48750]	Loss: 1.5945	LR: 0.043979
Training Epoch: 1 [22016/48750]	Loss: 1.6154	LR: 0.044503
Training Epoch: 1 [22272/48750]	Loss: 1.5100	LR: 0.045026
Training Epoch: 1 [22528/48750]	Loss: 1.4006	LR: 0.045550
Training Epoch: 1 [22784/48750]	Loss: 1.4909	LR: 0.046073
Training Epoch: 1 [23040/48750]	Loss: 1.5025	LR: 0.046597
Training Epoch: 1 [23296/48750]	Loss: 1.5583	LR: 0.047120
Training Epoch: 1 [23552/48750]	Loss: 1.5636	LR: 0.047644
Training Epoch: 1 [23808/48750]	Loss: 1.4452	LR: 0.048168
Training Epoch: 1 [24064/48750]	Loss: 1.5799	LR: 0.048691
Training Epoch: 1 [24320/48750]	Loss: 1.4130	LR: 0.049215
Training Epoch: 1 [24576/48750]	Loss: 1.3446	LR: 0.049738
Training Epoch: 1 [24832/48750]	Loss: 1.4559	LR: 0.050262
Training Epoch: 1 [25088/48750]	Loss: 1.3509	LR: 0.050785
Training Epoch: 1 [25344/48750]	Loss: 1.5614	LR: 0.051309
Training Epoch: 1 [25600/48750]	Loss: 1.3753	LR: 0.051832
Training Epoch: 1 [25856/48750]	Loss: 1.3312	LR: 0.052356
Training Epoch: 1 [26112/48750]	Loss: 1.6286	LR: 0.052880
Training Epoch: 1 [26368/48750]	Loss: 1.4795	LR: 0.053403
Training Epoch: 1 [26624/48750]	Loss: 1.3726	LR: 0.053927
Training Epoch: 1 [26880/48750]	Loss: 1.3646	LR: 0.054450
Training Epoch: 1 [27136/48750]	Loss: 1.3686	LR: 0.054974
Training Epoch: 1 [27392/48750]	Loss: 1.5014	LR: 0.055497
Training Epoch: 1 [27648/48750]	Loss: 1.5355	LR: 0.056021
Training Epoch: 1 [27904/48750]	Loss: 1.5439	LR: 0.056545
Training Epoch: 1 [28160/48750]	Loss: 1.4077	LR: 0.057068
Training Epoch: 1 [28416/48750]	Loss: 1.4987	LR: 0.057592
Training Epoch: 1 [28672/48750]	Loss: 1.4982	LR: 0.058115
Training Epoch: 1 [28928/48750]	Loss: 1.3737	LR: 0.058639
Training Epoch: 1 [29184/48750]	Loss: 1.5005	LR: 0.059162
Training Epoch: 1 [29440/48750]	Loss: 1.6252	LR: 0.059686
Training Epoch: 1 [29696/48750]	Loss: 1.3204	LR: 0.060209
Training Epoch: 1 [29952/48750]	Loss: 1.5519	LR: 0.060733
Training Epoch: 1 [30208/48750]	Loss: 1.3453	LR: 0.061257
Training Epoch: 1 [30464/48750]	Loss: 1.6660	LR: 0.061780
Training Epoch: 1 [30720/48750]	Loss: 1.4851	LR: 0.062304
Training Epoch: 1 [30976/48750]	Loss: 1.3323	LR: 0.062827
Training Epoch: 1 [31232/48750]	Loss: 1.3370	LR: 0.063351
Training Epoch: 1 [31488/48750]	Loss: 1.3702	LR: 0.063874
Training Epoch: 1 [31744/48750]	Loss: 1.4775	LR: 0.064398
Training Epoch: 1 [32000/48750]	Loss: 1.4963	LR: 0.064921
Training Epoch: 1 [32256/48750]	Loss: 1.2520	LR: 0.065445
Training Epoch: 1 [32512/48750]	Loss: 1.4948	LR: 0.065969
Training Epoch: 1 [32768/48750]	Loss: 1.3039	LR: 0.066492
Training Epoch: 1 [33024/48750]	Loss: 1.4031	LR: 0.067016
Training Epoch: 1 [33280/48750]	Loss: 1.3074	LR: 0.067539
Training Epoch: 1 [33536/48750]	Loss: 1.5196	LR: 0.068063
Training Epoch: 1 [33792/48750]	Loss: 1.4892	LR: 0.068586
Training Epoch: 1 [34048/48750]	Loss: 1.4833	LR: 0.069110
Training Epoch: 1 [34304/48750]	Loss: 1.4130	LR: 0.069634
Training Epoch: 1 [34560/48750]	Loss: 1.3797	LR: 0.070157
Training Epoch: 1 [34816/48750]	Loss: 1.5040	LR: 0.070681
Training Epoch: 1 [35072/48750]	Loss: 1.2300	LR: 0.071204
Training Epoch: 1 [35328/48750]	Loss: 1.2410	LR: 0.071728
Training Epoch: 1 [35584/48750]	Loss: 1.3602	LR: 0.072251
Training Epoch: 1 [35840/48750]	Loss: 1.3836	LR: 0.072775
Training Epoch: 1 [36096/48750]	Loss: 1.3206	LR: 0.073298
Training Epoch: 1 [36352/48750]	Loss: 1.1421	LR: 0.073822
Training Epoch: 1 [36608/48750]	Loss: 1.2888	LR: 0.074346
Training Epoch: 1 [36864/48750]	Loss: 1.3131	LR: 0.074869
Training Epoch: 1 [37120/48750]	Loss: 1.3218	LR: 0.075393
Training Epoch: 1 [37376/48750]	Loss: 1.2567	LR: 0.075916
Training Epoch: 1 [37632/48750]	Loss: 1.3846	LR: 0.076440
Training Epoch: 1 [37888/48750]	Loss: 1.3952	LR: 0.076963
Training Epoch: 1 [38144/48750]	Loss: 1.3834	LR: 0.077487
Training Epoch: 1 [38400/48750]	Loss: 1.2474	LR: 0.078010
Training Epoch: 1 [38656/48750]	Loss: 1.3598	LR: 0.078534
Training Epoch: 1 [38912/48750]	Loss: 1.3397	LR: 0.079058
Training Epoch: 1 [39168/48750]	Loss: 1.3966	LR: 0.079581
Training Epoch: 1 [39424/48750]	Loss: 1.5184	LR: 0.080105
Training Epoch: 1 [39680/48750]	Loss: 1.2057	LR: 0.080628
Training Epoch: 1 [39936/48750]	Loss: 1.2475	LR: 0.081152
Training Epoch: 1 [40192/48750]	Loss: 1.5610	LR: 0.081675
Training Epoch: 1 [40448/48750]	Loss: 1.2450	LR: 0.082199
Training Epoch: 1 [40704/48750]	Loss: 1.1885	LR: 0.082723
Training Epoch: 1 [40960/48750]	Loss: 1.4623	LR: 0.083246
Training Epoch: 1 [41216/48750]	Loss: 1.3711	LR: 0.083770
Training Epoch: 1 [41472/48750]	Loss: 1.3292	LR: 0.084293
Training Epoch: 1 [41728/48750]	Loss: 1.3653	LR: 0.084817
Training Epoch: 1 [41984/48750]	Loss: 1.4173	LR: 0.085340
Training Epoch: 1 [42240/48750]	Loss: 1.2061	LR: 0.085864
Training Epoch: 1 [42496/48750]	Loss: 1.1190	LR: 0.086387
Training Epoch: 1 [42752/48750]	Loss: 1.2824	LR: 0.086911
Training Epoch: 1 [43008/48750]	Loss: 1.0412	LR: 0.087435
Training Epoch: 1 [43264/48750]	Loss: 1.3628	LR: 0.087958
Training Epoch: 1 [43520/48750]	Loss: 1.1614	LR: 0.088482
Training Epoch: 1 [43776/48750]	Loss: 1.3814	LR: 0.089005
Training Epoch: 1 [44032/48750]	Loss: 1.2969	LR: 0.089529
Training Epoch: 1 [44288/48750]	Loss: 1.0964	LR: 0.090052
Training Epoch: 1 [44544/48750]	Loss: 1.3450	LR: 0.090576
Training Epoch: 1 [44800/48750]	Loss: 1.3640	LR: 0.091099
Training Epoch: 1 [45056/48750]	Loss: 1.2960	LR: 0.091623
Training Epoch: 1 [45312/48750]	Loss: 1.2510	LR: 0.092147
Training Epoch: 1 [45568/48750]	Loss: 1.1690	LR: 0.092670
Training Epoch: 1 [45824/48750]	Loss: 1.2236	LR: 0.093194
Training Epoch: 1 [46080/48750]	Loss: 1.1465	LR: 0.093717
Training Epoch: 1 [46336/48750]	Loss: 1.1142	LR: 0.094241
Training Epoch: 1 [46592/48750]	Loss: 1.2264	LR: 0.094764
Training Epoch: 1 [46848/48750]	Loss: 1.1173	LR: 0.095288
Training Epoch: 1 [47104/48750]	Loss: 1.2354	LR: 0.095812
Training Epoch: 1 [47360/48750]	Loss: 1.1858	LR: 0.096335
Training Epoch: 1 [47616/48750]	Loss: 1.1661	LR: 0.096859
Training Epoch: 1 [47872/48750]	Loss: 0.9769	LR: 0.097382
Training Epoch: 1 [48128/48750]	Loss: 1.2218	LR: 0.097906
Training Epoch: 1 [48384/48750]	Loss: 1.1105	LR: 0.098429
Training Epoch: 1 [48640/48750]	Loss: 1.2502	LR: 0.098953
Training Epoch: 1 [48750/48750]	Loss: 1.2632	LR: 0.099476
Epoch 1 - Average Train Loss: 1.5330, Train Accuracy: 0.4433
Epoch 1 training time consumed: 19.77s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0078, Accuracy: 0.4570, Time consumed:1.08s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_19h_38m_03s/ResNet18-Cifar10-seed1-ret75-1-best.pth
Training Epoch: 2 [256/48750]	Loss: 1.3451	LR: 0.020000
Training Epoch: 2 [512/48750]	Loss: 1.2882	LR: 0.020000
Training Epoch: 2 [768/48750]	Loss: 1.2608	LR: 0.020000
Training Epoch: 2 [1024/48750]	Loss: 1.0851	LR: 0.020000
Training Epoch: 2 [1280/48750]	Loss: 1.0871	LR: 0.020000
Training Epoch: 2 [1536/48750]	Loss: 1.1204	LR: 0.020000
Training Epoch: 2 [1792/48750]	Loss: 0.9212	LR: 0.020000
Training Epoch: 2 [2048/48750]	Loss: 1.1405	LR: 0.020000
Training Epoch: 2 [2304/48750]	Loss: 1.1144	LR: 0.020000
Training Epoch: 2 [2560/48750]	Loss: 1.0057	LR: 0.020000
Training Epoch: 2 [2816/48750]	Loss: 0.9931	LR: 0.020000
Training Epoch: 2 [3072/48750]	Loss: 1.0236	LR: 0.020000
Training Epoch: 2 [3328/48750]	Loss: 1.0054	LR: 0.020000
Training Epoch: 2 [3584/48750]	Loss: 1.0182	LR: 0.020000
Training Epoch: 2 [3840/48750]	Loss: 0.9060	LR: 0.020000
Training Epoch: 2 [4096/48750]	Loss: 1.0737	LR: 0.020000
Training Epoch: 2 [4352/48750]	Loss: 0.8437	LR: 0.020000
Training Epoch: 2 [4608/48750]	Loss: 0.8146	LR: 0.020000
Training Epoch: 2 [4864/48750]	Loss: 0.9782	LR: 0.020000
Training Epoch: 2 [5120/48750]	Loss: 0.9406	LR: 0.020000
Training Epoch: 2 [5376/48750]	Loss: 0.8194	LR: 0.020000
Training Epoch: 2 [5632/48750]	Loss: 0.9551	LR: 0.020000
Training Epoch: 2 [5888/48750]	Loss: 1.0004	LR: 0.020000
Training Epoch: 2 [6144/48750]	Loss: 0.9663	LR: 0.020000
Training Epoch: 2 [6400/48750]	Loss: 0.9311	LR: 0.020000
Training Epoch: 2 [6656/48750]	Loss: 0.8980	LR: 0.020000
Training Epoch: 2 [6912/48750]	Loss: 0.9279	LR: 0.020000
Training Epoch: 2 [7168/48750]	Loss: 0.9211	LR: 0.020000
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Training Epoch: 2 [7680/48750]	Loss: 0.8101	LR: 0.020000
Training Epoch: 2 [7936/48750]	Loss: 1.0299	LR: 0.020000
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Training Epoch: 2 [8448/48750]	Loss: 0.8270	LR: 0.020000
Training Epoch: 2 [8704/48750]	Loss: 0.8478	LR: 0.020000
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Training Epoch: 2 [9472/48750]	Loss: 0.8169	LR: 0.020000
Training Epoch: 2 [9728/48750]	Loss: 0.8500	LR: 0.020000
Training Epoch: 2 [9984/48750]	Loss: 0.8282	LR: 0.020000
Training Epoch: 2 [10240/48750]	Loss: 0.8603	LR: 0.020000
Training Epoch: 2 [10496/48750]	Loss: 0.8803	LR: 0.020000
Training Epoch: 2 [10752/48750]	Loss: 0.9202	LR: 0.020000
Training Epoch: 2 [11008/48750]	Loss: 0.9221	LR: 0.020000
Training Epoch: 2 [11264/48750]	Loss: 0.9630	LR: 0.020000
Training Epoch: 2 [11520/48750]	Loss: 0.8376	LR: 0.020000
Training Epoch: 2 [11776/48750]	Loss: 0.8698	LR: 0.020000
Training Epoch: 2 [12032/48750]	Loss: 0.7859	LR: 0.020000
Training Epoch: 2 [12288/48750]	Loss: 0.7297	LR: 0.020000
Training Epoch: 2 [12544/48750]	Loss: 0.8643	LR: 0.020000
Training Epoch: 2 [12800/48750]	Loss: 0.8338	LR: 0.020000
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Training Epoch: 2 [13312/48750]	Loss: 0.6844	LR: 0.020000
Training Epoch: 2 [13568/48750]	Loss: 0.8011	LR: 0.020000
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Training Epoch: 2 [14336/48750]	Loss: 0.8363	LR: 0.020000
Training Epoch: 2 [14592/48750]	Loss: 0.6888	LR: 0.020000
Training Epoch: 2 [14848/48750]	Loss: 0.7740	LR: 0.020000
Training Epoch: 2 [15104/48750]	Loss: 0.7845	LR: 0.020000
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Training Epoch: 2 [15616/48750]	Loss: 0.7521	LR: 0.020000
Training Epoch: 2 [15872/48750]	Loss: 0.8647	LR: 0.020000
Training Epoch: 2 [16128/48750]	Loss: 0.7253	LR: 0.020000
Training Epoch: 2 [16384/48750]	Loss: 0.8144	LR: 0.020000
Training Epoch: 2 [16640/48750]	Loss: 0.8336	LR: 0.020000
Training Epoch: 2 [16896/48750]	Loss: 0.7190	LR: 0.020000
Training Epoch: 2 [17152/48750]	Loss: 0.7945	LR: 0.020000
Training Epoch: 2 [17408/48750]	Loss: 0.7082	LR: 0.020000
Training Epoch: 2 [17664/48750]	Loss: 0.7354	LR: 0.020000
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Training Epoch: 2 [18432/48750]	Loss: 0.8179	LR: 0.020000
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Training Epoch: 2 [19200/48750]	Loss: 0.9640	LR: 0.020000
Training Epoch: 2 [19456/48750]	Loss: 0.7979	LR: 0.020000
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Training Epoch: 2 [20224/48750]	Loss: 0.8173	LR: 0.020000
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Training Epoch: 2 [46592/48750]	Loss: 0.6376	LR: 0.020000
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Training Epoch: 2 [47616/48750]	Loss: 0.7336	LR: 0.020000
Training Epoch: 2 [47872/48750]	Loss: 0.8085	LR: 0.020000
Training Epoch: 2 [48128/48750]	Loss: 0.6985	LR: 0.020000
Training Epoch: 2 [48384/48750]	Loss: 0.7446	LR: 0.020000
Training Epoch: 2 [48640/48750]	Loss: 0.6331	LR: 0.020000
Training Epoch: 2 [48750/48750]	Loss: 0.7092	LR: 0.020000
Epoch 2 - Average Train Loss: 0.7957, Train Accuracy: 0.7199
Epoch 2 training time consumed: 19.30s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0029, Accuracy: 0.7413, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_19h_38m_03s/ResNet18-Cifar10-seed1-ret75-2-best.pth
Training Epoch: 3 [256/48750]	Loss: 0.5468	LR: 0.020000
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Training Epoch: 3 [44544/48750]	Loss: 0.5936	LR: 0.020000
Training Epoch: 3 [44800/48750]	Loss: 0.7078	LR: 0.020000
Training Epoch: 3 [45056/48750]	Loss: 0.5321	LR: 0.020000
Training Epoch: 3 [45312/48750]	Loss: 0.5122	LR: 0.020000
Training Epoch: 3 [45568/48750]	Loss: 0.5789	LR: 0.020000
Training Epoch: 3 [45824/48750]	Loss: 0.5305	LR: 0.020000
Training Epoch: 3 [46080/48750]	Loss: 0.6350	LR: 0.020000
Training Epoch: 3 [46336/48750]	Loss: 0.5121	LR: 0.020000
Training Epoch: 3 [46592/48750]	Loss: 0.5251	LR: 0.020000
Training Epoch: 3 [46848/48750]	Loss: 0.5714	LR: 0.020000
Training Epoch: 3 [47104/48750]	Loss: 0.6443	LR: 0.020000
Training Epoch: 3 [47360/48750]	Loss: 0.6037	LR: 0.020000
Training Epoch: 3 [47616/48750]	Loss: 0.6998	LR: 0.020000
Training Epoch: 3 [47872/48750]	Loss: 0.5732	LR: 0.020000
Training Epoch: 3 [48128/48750]	Loss: 0.6598	LR: 0.020000
Training Epoch: 3 [48384/48750]	Loss: 0.6944	LR: 0.020000
Training Epoch: 3 [48640/48750]	Loss: 0.6236	LR: 0.020000
Training Epoch: 3 [48750/48750]	Loss: 0.6305	LR: 0.020000
Epoch 3 - Average Train Loss: 0.5917, Train Accuracy: 0.7935
Epoch 3 training time consumed: 19.59s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0031, Accuracy: 0.7279, Time consumed:1.06s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_19h_38m_03s/ResNet18-Cifar10-seed1-ret75-3-best.pth
Training Epoch: 4 [256/48750]	Loss: 0.3711	LR: 0.020000
Training Epoch: 4 [512/48750]	Loss: 0.4358	LR: 0.020000
Training Epoch: 4 [768/48750]	Loss: 0.5114	LR: 0.020000
Training Epoch: 4 [1024/48750]	Loss: 0.5446	LR: 0.020000
Training Epoch: 4 [1280/48750]	Loss: 0.4799	LR: 0.020000
Training Epoch: 4 [1536/48750]	Loss: 0.4193	LR: 0.020000
Training Epoch: 4 [1792/48750]	Loss: 0.3554	LR: 0.020000
Training Epoch: 4 [2048/48750]	Loss: 0.3775	LR: 0.020000
Training Epoch: 4 [2304/48750]	Loss: 0.3971	LR: 0.020000
Training Epoch: 4 [2560/48750]	Loss: 0.3808	LR: 0.020000
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Training Epoch: 4 [44800/48750]	Loss: 0.4476	LR: 0.020000
Training Epoch: 4 [45056/48750]	Loss: 0.5269	LR: 0.020000
Training Epoch: 4 [45312/48750]	Loss: 0.5225	LR: 0.020000
Training Epoch: 4 [45568/48750]	Loss: 0.4466	LR: 0.020000
Training Epoch: 4 [45824/48750]	Loss: 0.4172	LR: 0.020000
Training Epoch: 4 [46080/48750]	Loss: 0.4906	LR: 0.020000
Training Epoch: 4 [46336/48750]	Loss: 0.4575	LR: 0.020000
Training Epoch: 4 [46592/48750]	Loss: 0.4801	LR: 0.020000
Training Epoch: 4 [46848/48750]	Loss: 0.3535	LR: 0.020000
Training Epoch: 4 [47104/48750]	Loss: 0.4401	LR: 0.020000
Training Epoch: 4 [47360/48750]	Loss: 0.3991	LR: 0.020000
Training Epoch: 4 [47616/48750]	Loss: 0.4727	LR: 0.020000
Training Epoch: 4 [47872/48750]	Loss: 0.5470	LR: 0.020000
Training Epoch: 4 [48128/48750]	Loss: 0.4682	LR: 0.020000
Training Epoch: 4 [48384/48750]	Loss: 0.4699	LR: 0.020000
Training Epoch: 4 [48640/48750]	Loss: 0.5006	LR: 0.020000
Training Epoch: 4 [48750/48750]	Loss: 0.5539	LR: 0.020000
Epoch 4 - Average Train Loss: 0.4507, Train Accuracy: 0.8422
Epoch 4 training time consumed: 19.28s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0026, Accuracy: 0.7844, Time consumed:0.98s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_19h_38m_03s/ResNet18-Cifar10-seed1-ret75-4-best.pth
Training Epoch: 5 [256/48750]	Loss: 0.3457	LR: 0.004000
Training Epoch: 5 [512/48750]	Loss: 0.3202	LR: 0.004000
Training Epoch: 5 [768/48750]	Loss: 0.3611	LR: 0.004000
Training Epoch: 5 [1024/48750]	Loss: 0.2582	LR: 0.004000
Training Epoch: 5 [1280/48750]	Loss: 0.3733	LR: 0.004000
Training Epoch: 5 [1536/48750]	Loss: 0.3030	LR: 0.004000
Training Epoch: 5 [1792/48750]	Loss: 0.2732	LR: 0.004000
Training Epoch: 5 [2048/48750]	Loss: 0.2655	LR: 0.004000
Training Epoch: 5 [2304/48750]	Loss: 0.3102	LR: 0.004000
Training Epoch: 5 [2560/48750]	Loss: 0.2257	LR: 0.004000
Training Epoch: 5 [2816/48750]	Loss: 0.2916	LR: 0.004000
Training Epoch: 5 [3072/48750]	Loss: 0.3365	LR: 0.004000
Training Epoch: 5 [3328/48750]	Loss: 0.2244	LR: 0.004000
Training Epoch: 5 [3584/48750]	Loss: 0.2316	LR: 0.004000
Training Epoch: 5 [3840/48750]	Loss: 0.2857	LR: 0.004000
Training Epoch: 5 [4096/48750]	Loss: 0.2392	LR: 0.004000
Training Epoch: 5 [4352/48750]	Loss: 0.2345	LR: 0.004000
Training Epoch: 5 [4608/48750]	Loss: 0.2879	LR: 0.004000
Training Epoch: 5 [4864/48750]	Loss: 0.2712	LR: 0.004000
Training Epoch: 5 [5120/48750]	Loss: 0.2600	LR: 0.004000
Training Epoch: 5 [5376/48750]	Loss: 0.2983	LR: 0.004000
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Training Epoch: 5 [18688/48750]	Loss: 0.1767	LR: 0.004000
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Training Epoch: 5 [46336/48750]	Loss: 0.1646	LR: 0.004000
Training Epoch: 5 [46592/48750]	Loss: 0.2027	LR: 0.004000
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Training Epoch: 5 [47104/48750]	Loss: 0.1514	LR: 0.004000
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Training Epoch: 5 [47616/48750]	Loss: 0.1856	LR: 0.004000
Training Epoch: 5 [47872/48750]	Loss: 0.1283	LR: 0.004000
Training Epoch: 5 [48128/48750]	Loss: 0.1469	LR: 0.004000
Training Epoch: 5 [48384/48750]	Loss: 0.1728	LR: 0.004000
Training Epoch: 5 [48640/48750]	Loss: 0.1773	LR: 0.004000
Training Epoch: 5 [48750/48750]	Loss: 0.1618	LR: 0.004000
Epoch 5 - Average Train Loss: 0.2148, Train Accuracy: 0.9327
Epoch 5 training time consumed: 19.15s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0022, Accuracy: 0.8261, Time consumed:1.05s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_19h_38m_03s/ResNet18-Cifar10-seed1-ret75-5-best.pth
Training Epoch: 6 [256/48750]	Loss: 0.1104	LR: 0.004000
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Training Epoch: 6 [42496/48750]	Loss: 0.0894	LR: 0.004000
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Training Epoch: 6 [43008/48750]	Loss: 0.1319	LR: 0.004000
Training Epoch: 6 [43264/48750]	Loss: 0.1087	LR: 0.004000
Training Epoch: 6 [43520/48750]	Loss: 0.0995	LR: 0.004000
Training Epoch: 6 [43776/48750]	Loss: 0.1661	LR: 0.004000
Training Epoch: 6 [44032/48750]	Loss: 0.1305	LR: 0.004000
Training Epoch: 6 [44288/48750]	Loss: 0.1078	LR: 0.004000
Training Epoch: 6 [44544/48750]	Loss: 0.1146	LR: 0.004000
Training Epoch: 6 [44800/48750]	Loss: 0.0603	LR: 0.004000
Training Epoch: 6 [45056/48750]	Loss: 0.1240	LR: 0.004000
Training Epoch: 6 [45312/48750]	Loss: 0.1509	LR: 0.004000
Training Epoch: 6 [45568/48750]	Loss: 0.1328	LR: 0.004000
Training Epoch: 6 [45824/48750]	Loss: 0.0835	LR: 0.004000
Training Epoch: 6 [46080/48750]	Loss: 0.1054	LR: 0.004000
Training Epoch: 6 [46336/48750]	Loss: 0.0960	LR: 0.004000
Training Epoch: 6 [46592/48750]	Loss: 0.1487	LR: 0.004000
Training Epoch: 6 [46848/48750]	Loss: 0.1369	LR: 0.004000
Training Epoch: 6 [47104/48750]	Loss: 0.1398	LR: 0.004000
Training Epoch: 6 [47360/48750]	Loss: 0.0863	LR: 0.004000
Training Epoch: 6 [47616/48750]	Loss: 0.1339	LR: 0.004000
Training Epoch: 6 [47872/48750]	Loss: 0.1381	LR: 0.004000
Training Epoch: 6 [48128/48750]	Loss: 0.1315	LR: 0.004000
Training Epoch: 6 [48384/48750]	Loss: 0.1269	LR: 0.004000
Training Epoch: 6 [48640/48750]	Loss: 0.0923	LR: 0.004000
Training Epoch: 6 [48750/48750]	Loss: 0.1288	LR: 0.004000
Epoch 6 - Average Train Loss: 0.1190, Train Accuracy: 0.9662
Epoch 6 training time consumed: 19.09s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0025, Accuracy: 0.8158, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_19h_38m_03s/ResNet18-Cifar10-seed1-ret75-6-best.pth
Training Epoch: 7 [256/48750]	Loss: 0.0530	LR: 0.004000
Training Epoch: 7 [512/48750]	Loss: 0.0867	LR: 0.004000
Training Epoch: 7 [768/48750]	Loss: 0.0766	LR: 0.004000
Training Epoch: 7 [1024/48750]	Loss: 0.0695	LR: 0.004000
Training Epoch: 7 [1280/48750]	Loss: 0.0425	LR: 0.004000
Training Epoch: 7 [1536/48750]	Loss: 0.0621	LR: 0.004000
Training Epoch: 7 [1792/48750]	Loss: 0.0720	LR: 0.004000
Training Epoch: 7 [2048/48750]	Loss: 0.0794	LR: 0.004000
Training Epoch: 7 [2304/48750]	Loss: 0.0825	LR: 0.004000
Training Epoch: 7 [2560/48750]	Loss: 0.0536	LR: 0.004000
Training Epoch: 7 [2816/48750]	Loss: 0.0721	LR: 0.004000
Training Epoch: 7 [3072/48750]	Loss: 0.0689	LR: 0.004000
Training Epoch: 7 [3328/48750]	Loss: 0.1178	LR: 0.004000
Training Epoch: 7 [3584/48750]	Loss: 0.0793	LR: 0.004000
Training Epoch: 7 [3840/48750]	Loss: 0.0455	LR: 0.004000
Training Epoch: 7 [4096/48750]	Loss: 0.0709	LR: 0.004000
Training Epoch: 7 [4352/48750]	Loss: 0.0791	LR: 0.004000
Training Epoch: 7 [4608/48750]	Loss: 0.0902	LR: 0.004000
Training Epoch: 7 [4864/48750]	Loss: 0.0588	LR: 0.004000
Training Epoch: 7 [5120/48750]	Loss: 0.0651	LR: 0.004000
Training Epoch: 7 [5376/48750]	Loss: 0.0641	LR: 0.004000
Training Epoch: 7 [5632/48750]	Loss: 0.0595	LR: 0.004000
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Training Epoch: 7 [6144/48750]	Loss: 0.0775	LR: 0.004000
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Training Epoch: 7 [9472/48750]	Loss: 0.0568	LR: 0.004000
Training Epoch: 7 [9728/48750]	Loss: 0.0503	LR: 0.004000
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Training Epoch: 7 [10496/48750]	Loss: 0.0521	LR: 0.004000
Training Epoch: 7 [10752/48750]	Loss: 0.0576	LR: 0.004000
Training Epoch: 7 [11008/48750]	Loss: 0.0541	LR: 0.004000
Training Epoch: 7 [11264/48750]	Loss: 0.0561	LR: 0.004000
Training Epoch: 7 [11520/48750]	Loss: 0.0619	LR: 0.004000
Training Epoch: 7 [11776/48750]	Loss: 0.0555	LR: 0.004000
Training Epoch: 7 [12032/48750]	Loss: 0.0481	LR: 0.004000
Training Epoch: 7 [12288/48750]	Loss: 0.0557	LR: 0.004000
Training Epoch: 7 [12544/48750]	Loss: 0.0640	LR: 0.004000
Training Epoch: 7 [12800/48750]	Loss: 0.0698	LR: 0.004000
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Training Epoch: 7 [13568/48750]	Loss: 0.0616	LR: 0.004000
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Training Epoch: 7 [14336/48750]	Loss: 0.0594	LR: 0.004000
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Training Epoch: 7 [14848/48750]	Loss: 0.0629	LR: 0.004000
Training Epoch: 7 [15104/48750]	Loss: 0.0426	LR: 0.004000
Training Epoch: 7 [15360/48750]	Loss: 0.0535	LR: 0.004000
Training Epoch: 7 [15616/48750]	Loss: 0.0656	LR: 0.004000
Training Epoch: 7 [15872/48750]	Loss: 0.0499	LR: 0.004000
Training Epoch: 7 [16128/48750]	Loss: 0.0541	LR: 0.004000
Training Epoch: 7 [16384/48750]	Loss: 0.0780	LR: 0.004000
Training Epoch: 7 [16640/48750]	Loss: 0.0732	LR: 0.004000
Training Epoch: 7 [16896/48750]	Loss: 0.0660	LR: 0.004000
Training Epoch: 7 [17152/48750]	Loss: 0.0819	LR: 0.004000
Training Epoch: 7 [17408/48750]	Loss: 0.0529	LR: 0.004000
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Training Epoch: 7 [27904/48750]	Loss: 0.0697	LR: 0.004000
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Training Epoch: 7 [37888/48750]	Loss: 0.0469	LR: 0.004000
Training Epoch: 7 [38144/48750]	Loss: 0.0651	LR: 0.004000
Training Epoch: 7 [38400/48750]	Loss: 0.0688	LR: 0.004000
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Training Epoch: 7 [40192/48750]	Loss: 0.0457	LR: 0.004000
Training Epoch: 7 [40448/48750]	Loss: 0.0361	LR: 0.004000
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Training Epoch: 7 [42240/48750]	Loss: 0.0636	LR: 0.004000
Training Epoch: 7 [42496/48750]	Loss: 0.0503	LR: 0.004000
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Training Epoch: 7 [43008/48750]	Loss: 0.0919	LR: 0.004000
Training Epoch: 7 [43264/48750]	Loss: 0.0528	LR: 0.004000
Training Epoch: 7 [43520/48750]	Loss: 0.0293	LR: 0.004000
Training Epoch: 7 [43776/48750]	Loss: 0.0533	LR: 0.004000
Training Epoch: 7 [44032/48750]	Loss: 0.0849	LR: 0.004000
Training Epoch: 7 [44288/48750]	Loss: 0.0748	LR: 0.004000
Training Epoch: 7 [44544/48750]	Loss: 0.0792	LR: 0.004000
Training Epoch: 7 [44800/48750]	Loss: 0.0336	LR: 0.004000
Training Epoch: 7 [45056/48750]	Loss: 0.0341	LR: 0.004000
Training Epoch: 7 [45312/48750]	Loss: 0.0775	LR: 0.004000
Training Epoch: 7 [45568/48750]	Loss: 0.0612	LR: 0.004000
Training Epoch: 7 [45824/48750]	Loss: 0.0594	LR: 0.004000
Training Epoch: 7 [46080/48750]	Loss: 0.0746	LR: 0.004000
Training Epoch: 7 [46336/48750]	Loss: 0.0569	LR: 0.004000
Training Epoch: 7 [46592/48750]	Loss: 0.0729	LR: 0.004000
Training Epoch: 7 [46848/48750]	Loss: 0.0409	LR: 0.004000
Training Epoch: 7 [47104/48750]	Loss: 0.0769	LR: 0.004000
Training Epoch: 7 [47360/48750]	Loss: 0.0661	LR: 0.004000
Training Epoch: 7 [47616/48750]	Loss: 0.0576	LR: 0.004000
Training Epoch: 7 [47872/48750]	Loss: 0.0424	LR: 0.004000
Training Epoch: 7 [48128/48750]	Loss: 0.0882	LR: 0.004000
Training Epoch: 7 [48384/48750]	Loss: 0.0676	LR: 0.004000
Training Epoch: 7 [48640/48750]	Loss: 0.0655	LR: 0.004000
Training Epoch: 7 [48750/48750]	Loss: 0.0711	LR: 0.004000
Epoch 7 - Average Train Loss: 0.0601, Train Accuracy: 0.9881
Epoch 7 training time consumed: 19.09s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0025, Accuracy: 0.8216, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_19h_38m_03s/ResNet18-Cifar10-seed1-ret75-7-best.pth
Training Epoch: 8 [256/48750]	Loss: 0.0367	LR: 0.004000
Training Epoch: 8 [512/48750]	Loss: 0.0331	LR: 0.004000
Training Epoch: 8 [768/48750]	Loss: 0.0334	LR: 0.004000
Training Epoch: 8 [1024/48750]	Loss: 0.0276	LR: 0.004000
Training Epoch: 8 [1280/48750]	Loss: 0.0409	LR: 0.004000
Training Epoch: 8 [1536/48750]	Loss: 0.0274	LR: 0.004000
Training Epoch: 8 [1792/48750]	Loss: 0.0423	LR: 0.004000
Training Epoch: 8 [2048/48750]	Loss: 0.0419	LR: 0.004000
Training Epoch: 8 [2304/48750]	Loss: 0.0367	LR: 0.004000
Training Epoch: 8 [2560/48750]	Loss: 0.0518	LR: 0.004000
Training Epoch: 8 [2816/48750]	Loss: 0.0217	LR: 0.004000
Training Epoch: 8 [3072/48750]	Loss: 0.0342	LR: 0.004000
Training Epoch: 8 [3328/48750]	Loss: 0.0320	LR: 0.004000
Training Epoch: 8 [3584/48750]	Loss: 0.0350	LR: 0.004000
Training Epoch: 8 [3840/48750]	Loss: 0.0353	LR: 0.004000
Training Epoch: 8 [4096/48750]	Loss: 0.0187	LR: 0.004000
Training Epoch: 8 [4352/48750]	Loss: 0.0219	LR: 0.004000
Training Epoch: 8 [4608/48750]	Loss: 0.0227	LR: 0.004000
Training Epoch: 8 [4864/48750]	Loss: 0.0180	LR: 0.004000
Training Epoch: 8 [5120/48750]	Loss: 0.0247	LR: 0.004000
Training Epoch: 8 [5376/48750]	Loss: 0.0283	LR: 0.004000
Training Epoch: 8 [5632/48750]	Loss: 0.0394	LR: 0.004000
Training Epoch: 8 [5888/48750]	Loss: 0.0274	LR: 0.004000
Training Epoch: 8 [6144/48750]	Loss: 0.0359	LR: 0.004000
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Training Epoch: 8 [7168/48750]	Loss: 0.0429	LR: 0.004000
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Training Epoch: 8 [8448/48750]	Loss: 0.0332	LR: 0.004000
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Training Epoch: 8 [10240/48750]	Loss: 0.0254	LR: 0.004000
Training Epoch: 8 [10496/48750]	Loss: 0.0253	LR: 0.004000
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Training Epoch: 8 [11008/48750]	Loss: 0.0288	LR: 0.004000
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Training Epoch: 8 [11520/48750]	Loss: 0.0231	LR: 0.004000
Training Epoch: 8 [11776/48750]	Loss: 0.0184	LR: 0.004000
Training Epoch: 8 [12032/48750]	Loss: 0.0394	LR: 0.004000
Training Epoch: 8 [12288/48750]	Loss: 0.0308	LR: 0.004000
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Training Epoch: 8 [12800/48750]	Loss: 0.0285	LR: 0.004000
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Training Epoch: 8 [14336/48750]	Loss: 0.0312	LR: 0.004000
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Training Epoch: 8 [15872/48750]	Loss: 0.0324	LR: 0.004000
Training Epoch: 8 [16128/48750]	Loss: 0.0229	LR: 0.004000
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Training Epoch: 8 [16640/48750]	Loss: 0.0294	LR: 0.004000
Training Epoch: 8 [16896/48750]	Loss: 0.0338	LR: 0.004000
Training Epoch: 8 [17152/48750]	Loss: 0.0286	LR: 0.004000
Training Epoch: 8 [17408/48750]	Loss: 0.0304	LR: 0.004000
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Training Epoch: 8 [20224/48750]	Loss: 0.0179	LR: 0.004000
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Training Epoch: 8 [22016/48750]	Loss: 0.0240	LR: 0.004000
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Training Epoch: 8 [24320/48750]	Loss: 0.0161	LR: 0.004000
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Training Epoch: 8 [25344/48750]	Loss: 0.0201	LR: 0.004000
Training Epoch: 8 [25600/48750]	Loss: 0.0212	LR: 0.004000
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Training Epoch: 8 [30464/48750]	Loss: 0.0201	LR: 0.004000
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Training Epoch: 8 [31744/48750]	Loss: 0.0231	LR: 0.004000
Training Epoch: 8 [32000/48750]	Loss: 0.0225	LR: 0.004000
Training Epoch: 8 [32256/48750]	Loss: 0.0268	LR: 0.004000
Training Epoch: 8 [32512/48750]	Loss: 0.0161	LR: 0.004000
Training Epoch: 8 [32768/48750]	Loss: 0.0184	LR: 0.004000
Training Epoch: 8 [33024/48750]	Loss: 0.0194	LR: 0.004000
Training Epoch: 8 [33280/48750]	Loss: 0.0289	LR: 0.004000
Training Epoch: 8 [33536/48750]	Loss: 0.0238	LR: 0.004000
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Training Epoch: 8 [34816/48750]	Loss: 0.0248	LR: 0.004000
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Training Epoch: 8 [35328/48750]	Loss: 0.0252	LR: 0.004000
Training Epoch: 8 [35584/48750]	Loss: 0.0203	LR: 0.004000
Training Epoch: 8 [35840/48750]	Loss: 0.0197	LR: 0.004000
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Training Epoch: 8 [36352/48750]	Loss: 0.0162	LR: 0.004000
Training Epoch: 8 [36608/48750]	Loss: 0.0217	LR: 0.004000
Training Epoch: 8 [36864/48750]	Loss: 0.0197	LR: 0.004000
Training Epoch: 8 [37120/48750]	Loss: 0.0236	LR: 0.004000
Training Epoch: 8 [37376/48750]	Loss: 0.0297	LR: 0.004000
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Training Epoch: 8 [38912/48750]	Loss: 0.0181	LR: 0.004000
Training Epoch: 8 [39168/48750]	Loss: 0.0255	LR: 0.004000
Training Epoch: 8 [39424/48750]	Loss: 0.0163	LR: 0.004000
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Training Epoch: 8 [39936/48750]	Loss: 0.0269	LR: 0.004000
Training Epoch: 8 [40192/48750]	Loss: 0.0282	LR: 0.004000
Training Epoch: 8 [40448/48750]	Loss: 0.0341	LR: 0.004000
Training Epoch: 8 [40704/48750]	Loss: 0.0146	LR: 0.004000
Training Epoch: 8 [40960/48750]	Loss: 0.0283	LR: 0.004000
Training Epoch: 8 [41216/48750]	Loss: 0.0238	LR: 0.004000
Training Epoch: 8 [41472/48750]	Loss: 0.0284	LR: 0.004000
Training Epoch: 8 [41728/48750]	Loss: 0.0269	LR: 0.004000
Training Epoch: 8 [41984/48750]	Loss: 0.0335	LR: 0.004000
Training Epoch: 8 [42240/48750]	Loss: 0.0180	LR: 0.004000
Training Epoch: 8 [42496/48750]	Loss: 0.0255	LR: 0.004000
Training Epoch: 8 [42752/48750]	Loss: 0.0177	LR: 0.004000
Training Epoch: 8 [43008/48750]	Loss: 0.0433	LR: 0.004000
Training Epoch: 8 [43264/48750]	Loss: 0.0187	LR: 0.004000
Training Epoch: 8 [43520/48750]	Loss: 0.0257	LR: 0.004000
Training Epoch: 8 [43776/48750]	Loss: 0.0229	LR: 0.004000
Training Epoch: 8 [44032/48750]	Loss: 0.0283	LR: 0.004000
Training Epoch: 8 [44288/48750]	Loss: 0.0338	LR: 0.004000
Training Epoch: 8 [44544/48750]	Loss: 0.0237	LR: 0.004000
Training Epoch: 8 [44800/48750]	Loss: 0.0202	LR: 0.004000
Training Epoch: 8 [45056/48750]	Loss: 0.0245	LR: 0.004000
Training Epoch: 8 [45312/48750]	Loss: 0.0266	LR: 0.004000
Training Epoch: 8 [45568/48750]	Loss: 0.0280	LR: 0.004000
Training Epoch: 8 [45824/48750]	Loss: 0.0256	LR: 0.004000
Training Epoch: 8 [46080/48750]	Loss: 0.0218	LR: 0.004000
Training Epoch: 8 [46336/48750]	Loss: 0.0256	LR: 0.004000
Training Epoch: 8 [46592/48750]	Loss: 0.0218	LR: 0.004000
Training Epoch: 8 [46848/48750]	Loss: 0.0468	LR: 0.004000
Training Epoch: 8 [47104/48750]	Loss: 0.0330	LR: 0.004000
Training Epoch: 8 [47360/48750]	Loss: 0.0229	LR: 0.004000
Training Epoch: 8 [47616/48750]	Loss: 0.0202	LR: 0.004000
Training Epoch: 8 [47872/48750]	Loss: 0.0300	LR: 0.004000
Training Epoch: 8 [48128/48750]	Loss: 0.0296	LR: 0.004000
Training Epoch: 8 [48384/48750]	Loss: 0.0317	LR: 0.004000
Training Epoch: 8 [48640/48750]	Loss: 0.0276	LR: 0.004000
Training Epoch: 8 [48750/48750]	Loss: 0.0195	LR: 0.004000
Epoch 8 - Average Train Loss: 0.0271, Train Accuracy: 0.9970
Epoch 8 training time consumed: 19.26s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0026, Accuracy: 0.8184, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_19h_38m_03s/ResNet18-Cifar10-seed1-ret75-8-best.pth
Training Epoch: 9 [256/48750]	Loss: 0.0114	LR: 0.000800
Training Epoch: 9 [512/48750]	Loss: 0.0187	LR: 0.000800
Training Epoch: 9 [768/48750]	Loss: 0.0165	LR: 0.000800
Training Epoch: 9 [1024/48750]	Loss: 0.0140	LR: 0.000800
Training Epoch: 9 [1280/48750]	Loss: 0.0235	LR: 0.000800
Training Epoch: 9 [1536/48750]	Loss: 0.0144	LR: 0.000800
Training Epoch: 9 [1792/48750]	Loss: 0.0167	LR: 0.000800
Training Epoch: 9 [2048/48750]	Loss: 0.0125	LR: 0.000800
Training Epoch: 9 [2304/48750]	Loss: 0.0126	LR: 0.000800
Training Epoch: 9 [2560/48750]	Loss: 0.0137	LR: 0.000800
Training Epoch: 9 [2816/48750]	Loss: 0.0157	LR: 0.000800
Training Epoch: 9 [3072/48750]	Loss: 0.0146	LR: 0.000800
Training Epoch: 9 [3328/48750]	Loss: 0.0098	LR: 0.000800
Training Epoch: 9 [3584/48750]	Loss: 0.0144	LR: 0.000800
Training Epoch: 9 [3840/48750]	Loss: 0.0111	LR: 0.000800
Training Epoch: 9 [4096/48750]	Loss: 0.0178	LR: 0.000800
Training Epoch: 9 [4352/48750]	Loss: 0.0162	LR: 0.000800
Training Epoch: 9 [4608/48750]	Loss: 0.0111	LR: 0.000800
Training Epoch: 9 [4864/48750]	Loss: 0.0144	LR: 0.000800
Training Epoch: 9 [5120/48750]	Loss: 0.0144	LR: 0.000800
Training Epoch: 9 [5376/48750]	Loss: 0.0120	LR: 0.000800
Training Epoch: 9 [5632/48750]	Loss: 0.0120	LR: 0.000800
Training Epoch: 9 [5888/48750]	Loss: 0.0262	LR: 0.000800
Training Epoch: 9 [6144/48750]	Loss: 0.0129	LR: 0.000800
Training Epoch: 9 [6400/48750]	Loss: 0.0176	LR: 0.000800
Training Epoch: 9 [6656/48750]	Loss: 0.0145	LR: 0.000800
Training Epoch: 9 [6912/48750]	Loss: 0.0128	LR: 0.000800
Training Epoch: 9 [7168/48750]	Loss: 0.0112	LR: 0.000800
Training Epoch: 9 [7424/48750]	Loss: 0.0132	LR: 0.000800
Training Epoch: 9 [7680/48750]	Loss: 0.0151	LR: 0.000800
Training Epoch: 9 [7936/48750]	Loss: 0.0139	LR: 0.000800
Training Epoch: 9 [8192/48750]	Loss: 0.0157	LR: 0.000800
Training Epoch: 9 [8448/48750]	Loss: 0.0125	LR: 0.000800
Training Epoch: 9 [8704/48750]	Loss: 0.0128	LR: 0.000800
Training Epoch: 9 [8960/48750]	Loss: 0.0119	LR: 0.000800
Training Epoch: 9 [9216/48750]	Loss: 0.0114	LR: 0.000800
Training Epoch: 9 [9472/48750]	Loss: 0.0100	LR: 0.000800
Training Epoch: 9 [9728/48750]	Loss: 0.0100	LR: 0.000800
Training Epoch: 9 [9984/48750]	Loss: 0.0123	LR: 0.000800
Training Epoch: 9 [10240/48750]	Loss: 0.0117	LR: 0.000800
Training Epoch: 9 [10496/48750]	Loss: 0.0166	LR: 0.000800
Training Epoch: 9 [10752/48750]	Loss: 0.0135	LR: 0.000800
Training Epoch: 9 [11008/48750]	Loss: 0.0124	LR: 0.000800
Training Epoch: 9 [11264/48750]	Loss: 0.0119	LR: 0.000800
Training Epoch: 9 [11520/48750]	Loss: 0.0138	LR: 0.000800
Training Epoch: 9 [11776/48750]	Loss: 0.0129	LR: 0.000800
Training Epoch: 9 [12032/48750]	Loss: 0.0125	LR: 0.000800
Training Epoch: 9 [12288/48750]	Loss: 0.0135	LR: 0.000800
Training Epoch: 9 [12544/48750]	Loss: 0.0106	LR: 0.000800
Training Epoch: 9 [12800/48750]	Loss: 0.0144	LR: 0.000800
Training Epoch: 9 [13056/48750]	Loss: 0.0098	LR: 0.000800
Training Epoch: 9 [13312/48750]	Loss: 0.0130	LR: 0.000800
Training Epoch: 9 [13568/48750]	Loss: 0.0108	LR: 0.000800
Training Epoch: 9 [13824/48750]	Loss: 0.0129	LR: 0.000800
Training Epoch: 9 [14080/48750]	Loss: 0.0141	LR: 0.000800
Training Epoch: 9 [14336/48750]	Loss: 0.0115	LR: 0.000800
Training Epoch: 9 [14592/48750]	Loss: 0.0115	LR: 0.000800
Training Epoch: 9 [14848/48750]	Loss: 0.0148	LR: 0.000800
Training Epoch: 9 [15104/48750]	Loss: 0.0131	LR: 0.000800
Training Epoch: 9 [15360/48750]	Loss: 0.0105	LR: 0.000800
Training Epoch: 9 [15616/48750]	Loss: 0.0079	LR: 0.000800
Training Epoch: 9 [15872/48750]	Loss: 0.0135	LR: 0.000800
Training Epoch: 9 [16128/48750]	Loss: 0.0147	LR: 0.000800
Training Epoch: 9 [16384/48750]	Loss: 0.0133	LR: 0.000800
Training Epoch: 9 [16640/48750]	Loss: 0.0139	LR: 0.000800
Training Epoch: 9 [16896/48750]	Loss: 0.0096	LR: 0.000800
Training Epoch: 9 [17152/48750]	Loss: 0.0112	LR: 0.000800
Training Epoch: 9 [17408/48750]	Loss: 0.0133	LR: 0.000800
Training Epoch: 9 [17664/48750]	Loss: 0.0085	LR: 0.000800
Training Epoch: 9 [17920/48750]	Loss: 0.0162	LR: 0.000800
Training Epoch: 9 [18176/48750]	Loss: 0.0128	LR: 0.000800
Training Epoch: 9 [18432/48750]	Loss: 0.0143	LR: 0.000800
Training Epoch: 9 [18688/48750]	Loss: 0.0096	LR: 0.000800
Training Epoch: 9 [18944/48750]	Loss: 0.0093	LR: 0.000800
Training Epoch: 9 [19200/48750]	Loss: 0.0088	LR: 0.000800
Training Epoch: 9 [19456/48750]	Loss: 0.0149	LR: 0.000800
Training Epoch: 9 [19712/48750]	Loss: 0.0141	LR: 0.000800
Training Epoch: 9 [19968/48750]	Loss: 0.0139	LR: 0.000800
Training Epoch: 9 [20224/48750]	Loss: 0.0091	LR: 0.000800
Training Epoch: 9 [20480/48750]	Loss: 0.0156	LR: 0.000800
Training Epoch: 9 [20736/48750]	Loss: 0.0092	LR: 0.000800
Training Epoch: 9 [20992/48750]	Loss: 0.0097	LR: 0.000800
Training Epoch: 9 [21248/48750]	Loss: 0.0090	LR: 0.000800
Training Epoch: 9 [21504/48750]	Loss: 0.0100	LR: 0.000800
Training Epoch: 9 [21760/48750]	Loss: 0.0159	LR: 0.000800
Training Epoch: 9 [22016/48750]	Loss: 0.0104	LR: 0.000800
Training Epoch: 9 [22272/48750]	Loss: 0.0109	LR: 0.000800
Training Epoch: 9 [22528/48750]	Loss: 0.0099	LR: 0.000800
Training Epoch: 9 [22784/48750]	Loss: 0.0084	LR: 0.000800
Training Epoch: 9 [23040/48750]	Loss: 0.0100	LR: 0.000800
Training Epoch: 9 [23296/48750]	Loss: 0.0188	LR: 0.000800
Training Epoch: 9 [23552/48750]	Loss: 0.0087	LR: 0.000800
Training Epoch: 9 [23808/48750]	Loss: 0.0184	LR: 0.000800
Training Epoch: 9 [24064/48750]	Loss: 0.0105	LR: 0.000800
Training Epoch: 9 [24320/48750]	Loss: 0.0101	LR: 0.000800
Training Epoch: 9 [24576/48750]	Loss: 0.0130	LR: 0.000800
Training Epoch: 9 [24832/48750]	Loss: 0.0121	LR: 0.000800
Training Epoch: 9 [25088/48750]	Loss: 0.0123	LR: 0.000800
Training Epoch: 9 [25344/48750]	Loss: 0.0163	LR: 0.000800
Training Epoch: 9 [25600/48750]	Loss: 0.0144	LR: 0.000800
Training Epoch: 9 [25856/48750]	Loss: 0.0119	LR: 0.000800
Training Epoch: 9 [26112/48750]	Loss: 0.0113	LR: 0.000800
Training Epoch: 9 [26368/48750]	Loss: 0.0108	LR: 0.000800
Training Epoch: 9 [26624/48750]	Loss: 0.0160	LR: 0.000800
Training Epoch: 9 [26880/48750]	Loss: 0.0075	LR: 0.000800
Training Epoch: 9 [27136/48750]	Loss: 0.0099	LR: 0.000800
Training Epoch: 9 [27392/48750]	Loss: 0.0121	LR: 0.000800
Training Epoch: 9 [27648/48750]	Loss: 0.0096	LR: 0.000800
Training Epoch: 9 [27904/48750]	Loss: 0.0119	LR: 0.000800
Training Epoch: 9 [28160/48750]	Loss: 0.0094	LR: 0.000800
Training Epoch: 9 [28416/48750]	Loss: 0.0084	LR: 0.000800
Training Epoch: 9 [28672/48750]	Loss: 0.0123	LR: 0.000800
Training Epoch: 9 [28928/48750]	Loss: 0.0109	LR: 0.000800
Training Epoch: 9 [29184/48750]	Loss: 0.0106	LR: 0.000800
Training Epoch: 9 [29440/48750]	Loss: 0.0087	LR: 0.000800
Training Epoch: 9 [29696/48750]	Loss: 0.0102	LR: 0.000800
Training Epoch: 9 [29952/48750]	Loss: 0.0097	LR: 0.000800
Training Epoch: 9 [30208/48750]	Loss: 0.0138	LR: 0.000800
Training Epoch: 9 [30464/48750]	Loss: 0.0136	LR: 0.000800
Training Epoch: 9 [30720/48750]	Loss: 0.0119	LR: 0.000800
Training Epoch: 9 [30976/48750]	Loss: 0.0160	LR: 0.000800
Training Epoch: 9 [31232/48750]	Loss: 0.0122	LR: 0.000800
Training Epoch: 9 [31488/48750]	Loss: 0.0107	LR: 0.000800
Training Epoch: 9 [31744/48750]	Loss: 0.0125	LR: 0.000800
Training Epoch: 9 [32000/48750]	Loss: 0.0154	LR: 0.000800
Training Epoch: 9 [32256/48750]	Loss: 0.0072	LR: 0.000800
Training Epoch: 9 [32512/48750]	Loss: 0.0081	LR: 0.000800
Training Epoch: 9 [32768/48750]	Loss: 0.0115	LR: 0.000800
Training Epoch: 9 [33024/48750]	Loss: 0.0123	LR: 0.000800
Training Epoch: 9 [33280/48750]	Loss: 0.0116	LR: 0.000800
Training Epoch: 9 [33536/48750]	Loss: 0.0101	LR: 0.000800
Training Epoch: 9 [33792/48750]	Loss: 0.0111	LR: 0.000800
Training Epoch: 9 [34048/48750]	Loss: 0.0112	LR: 0.000800
Training Epoch: 9 [34304/48750]	Loss: 0.0094	LR: 0.000800
Training Epoch: 9 [34560/48750]	Loss: 0.0204	LR: 0.000800
Training Epoch: 9 [34816/48750]	Loss: 0.0146	LR: 0.000800
Training Epoch: 9 [35072/48750]	Loss: 0.0126	LR: 0.000800
Training Epoch: 9 [35328/48750]	Loss: 0.0085	LR: 0.000800
Training Epoch: 9 [35584/48750]	Loss: 0.0158	LR: 0.000800
Training Epoch: 9 [35840/48750]	Loss: 0.0114	LR: 0.000800
Training Epoch: 9 [36096/48750]	Loss: 0.0116	LR: 0.000800
Training Epoch: 9 [36352/48750]	Loss: 0.0135	LR: 0.000800
Training Epoch: 9 [36608/48750]	Loss: 0.0111	LR: 0.000800
Training Epoch: 9 [36864/48750]	Loss: 0.0106	LR: 0.000800
Training Epoch: 9 [37120/48750]	Loss: 0.0114	LR: 0.000800
Training Epoch: 9 [37376/48750]	Loss: 0.0129	LR: 0.000800
Training Epoch: 9 [37632/48750]	Loss: 0.0089	LR: 0.000800
Training Epoch: 9 [37888/48750]	Loss: 0.0122	LR: 0.000800
Training Epoch: 9 [38144/48750]	Loss: 0.0094	LR: 0.000800
Training Epoch: 9 [38400/48750]	Loss: 0.0109	LR: 0.000800
Training Epoch: 9 [38656/48750]	Loss: 0.0115	LR: 0.000800
Training Epoch: 9 [38912/48750]	Loss: 0.0089	LR: 0.000800
Training Epoch: 9 [39168/48750]	Loss: 0.0149	LR: 0.000800
Training Epoch: 9 [39424/48750]	Loss: 0.0111	LR: 0.000800
Training Epoch: 9 [39680/48750]	Loss: 0.0116	LR: 0.000800
Training Epoch: 9 [39936/48750]	Loss: 0.0081	LR: 0.000800
Training Epoch: 9 [40192/48750]	Loss: 0.0125	LR: 0.000800
Training Epoch: 9 [40448/48750]	Loss: 0.0139	LR: 0.000800
Training Epoch: 9 [40704/48750]	Loss: 0.0124	LR: 0.000800
Training Epoch: 9 [40960/48750]	Loss: 0.0117	LR: 0.000800
Training Epoch: 9 [41216/48750]	Loss: 0.0089	LR: 0.000800
Training Epoch: 9 [41472/48750]	Loss: 0.0113	LR: 0.000800
Training Epoch: 9 [41728/48750]	Loss: 0.0160	LR: 0.000800
Training Epoch: 9 [41984/48750]	Loss: 0.0129	LR: 0.000800
Training Epoch: 9 [42240/48750]	Loss: 0.0094	LR: 0.000800
Training Epoch: 9 [42496/48750]	Loss: 0.0082	LR: 0.000800
Training Epoch: 9 [42752/48750]	Loss: 0.0102	LR: 0.000800
Training Epoch: 9 [43008/48750]	Loss: 0.0140	LR: 0.000800
Training Epoch: 9 [43264/48750]	Loss: 0.0134	LR: 0.000800
Training Epoch: 9 [43520/48750]	Loss: 0.0109	LR: 0.000800
Training Epoch: 9 [43776/48750]	Loss: 0.0089	LR: 0.000800
Training Epoch: 9 [44032/48750]	Loss: 0.0103	LR: 0.000800
Training Epoch: 9 [44288/48750]	Loss: 0.0115	LR: 0.000800
Training Epoch: 9 [44544/48750]	Loss: 0.0103	LR: 0.000800
Training Epoch: 9 [44800/48750]	Loss: 0.0118	LR: 0.000800
Training Epoch: 9 [45056/48750]	Loss: 0.0111	LR: 0.000800
Training Epoch: 9 [45312/48750]	Loss: 0.0095	LR: 0.000800
Training Epoch: 9 [45568/48750]	Loss: 0.0105	LR: 0.000800
Training Epoch: 9 [45824/48750]	Loss: 0.0112	LR: 0.000800
Training Epoch: 9 [46080/48750]	Loss: 0.0100	LR: 0.000800
Training Epoch: 9 [46336/48750]	Loss: 0.0156	LR: 0.000800
Training Epoch: 9 [46592/48750]	Loss: 0.0106	LR: 0.000800
Training Epoch: 9 [46848/48750]	Loss: 0.0120	LR: 0.000800
Training Epoch: 9 [47104/48750]	Loss: 0.0134	LR: 0.000800
Training Epoch: 9 [47360/48750]	Loss: 0.0160	LR: 0.000800
Training Epoch: 9 [47616/48750]	Loss: 0.0124	LR: 0.000800
Training Epoch: 9 [47872/48750]	Loss: 0.0105	LR: 0.000800
Training Epoch: 9 [48128/48750]	Loss: 0.0118	LR: 0.000800
Training Epoch: 9 [48384/48750]	Loss: 0.0159	LR: 0.000800
Training Epoch: 9 [48640/48750]	Loss: 0.0121	LR: 0.000800
Training Epoch: 9 [48750/48750]	Loss: 0.0156	LR: 0.000800
Epoch 9 - Average Train Loss: 0.0123, Train Accuracy: 0.9998
Epoch 9 training time consumed: 19.10s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0026, Accuracy: 0.8253, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_19h_38m_03s/ResNet18-Cifar10-seed1-ret75-9-best.pth
Training Epoch: 10 [256/48750]	Loss: 0.0076	LR: 0.000800
Training Epoch: 10 [512/48750]	Loss: 0.0101	LR: 0.000800
Training Epoch: 10 [768/48750]	Loss: 0.0100	LR: 0.000800
Training Epoch: 10 [1024/48750]	Loss: 0.0083	LR: 0.000800
Training Epoch: 10 [1280/48750]	Loss: 0.0113	LR: 0.000800
Training Epoch: 10 [1536/48750]	Loss: 0.0161	LR: 0.000800
Training Epoch: 10 [1792/48750]	Loss: 0.0081	LR: 0.000800
Training Epoch: 10 [2048/48750]	Loss: 0.0114	LR: 0.000800
Training Epoch: 10 [2304/48750]	Loss: 0.0082	LR: 0.000800
Training Epoch: 10 [2560/48750]	Loss: 0.0095	LR: 0.000800
Training Epoch: 10 [2816/48750]	Loss: 0.0083	LR: 0.000800
Training Epoch: 10 [3072/48750]	Loss: 0.0143	LR: 0.000800
Training Epoch: 10 [3328/48750]	Loss: 0.0116	LR: 0.000800
Training Epoch: 10 [3584/48750]	Loss: 0.0081	LR: 0.000800
Training Epoch: 10 [3840/48750]	Loss: 0.0089	LR: 0.000800
Training Epoch: 10 [4096/48750]	Loss: 0.0115	LR: 0.000800
Training Epoch: 10 [4352/48750]	Loss: 0.0096	LR: 0.000800
Training Epoch: 10 [4608/48750]	Loss: 0.0119	LR: 0.000800
Training Epoch: 10 [4864/48750]	Loss: 0.0113	LR: 0.000800
Training Epoch: 10 [5120/48750]	Loss: 0.0102	LR: 0.000800
Training Epoch: 10 [5376/48750]	Loss: 0.0082	LR: 0.000800
Training Epoch: 10 [5632/48750]	Loss: 0.0081	LR: 0.000800
Training Epoch: 10 [5888/48750]	Loss: 0.0092	LR: 0.000800
Training Epoch: 10 [6144/48750]	Loss: 0.0077	LR: 0.000800
Training Epoch: 10 [6400/48750]	Loss: 0.0077	LR: 0.000800
Training Epoch: 10 [6656/48750]	Loss: 0.0107	LR: 0.000800
Training Epoch: 10 [6912/48750]	Loss: 0.0091	LR: 0.000800
Training Epoch: 10 [7168/48750]	Loss: 0.0103	LR: 0.000800
Training Epoch: 10 [7424/48750]	Loss: 0.0133	LR: 0.000800
Training Epoch: 10 [7680/48750]	Loss: 0.0081	LR: 0.000800
Training Epoch: 10 [7936/48750]	Loss: 0.0079	LR: 0.000800
Training Epoch: 10 [8192/48750]	Loss: 0.0087	LR: 0.000800
Training Epoch: 10 [8448/48750]	Loss: 0.0105	LR: 0.000800
Training Epoch: 10 [8704/48750]	Loss: 0.0096	LR: 0.000800
Training Epoch: 10 [8960/48750]	Loss: 0.0079	LR: 0.000800
Training Epoch: 10 [9216/48750]	Loss: 0.0095	LR: 0.000800
Training Epoch: 10 [9472/48750]	Loss: 0.0088	LR: 0.000800
Training Epoch: 10 [9728/48750]	Loss: 0.0128	LR: 0.000800
Training Epoch: 10 [9984/48750]	Loss: 0.0095	LR: 0.000800
Training Epoch: 10 [10240/48750]	Loss: 0.0075	LR: 0.000800
Training Epoch: 10 [10496/48750]	Loss: 0.0099	LR: 0.000800
Training Epoch: 10 [10752/48750]	Loss: 0.0103	LR: 0.000800
Training Epoch: 10 [11008/48750]	Loss: 0.0103	LR: 0.000800
Training Epoch: 10 [11264/48750]	Loss: 0.0084	LR: 0.000800
Training Epoch: 10 [11520/48750]	Loss: 0.0146	LR: 0.000800
Training Epoch: 10 [11776/48750]	Loss: 0.0093	LR: 0.000800
Training Epoch: 10 [12032/48750]	Loss: 0.0078	LR: 0.000800
Training Epoch: 10 [12288/48750]	Loss: 0.0080	LR: 0.000800
Training Epoch: 10 [12544/48750]	Loss: 0.0117	LR: 0.000800
Training Epoch: 10 [12800/48750]	Loss: 0.0095	LR: 0.000800
Training Epoch: 10 [13056/48750]	Loss: 0.0102	LR: 0.000800
Training Epoch: 10 [13312/48750]	Loss: 0.0147	LR: 0.000800
Training Epoch: 10 [13568/48750]	Loss: 0.0107	LR: 0.000800
Training Epoch: 10 [13824/48750]	Loss: 0.0098	LR: 0.000800
Training Epoch: 10 [14080/48750]	Loss: 0.0132	LR: 0.000800
Training Epoch: 10 [14336/48750]	Loss: 0.0141	LR: 0.000800
Training Epoch: 10 [14592/48750]	Loss: 0.0133	LR: 0.000800
Training Epoch: 10 [14848/48750]	Loss: 0.0102	LR: 0.000800
Training Epoch: 10 [15104/48750]	Loss: 0.0130	LR: 0.000800
Training Epoch: 10 [15360/48750]	Loss: 0.0121	LR: 0.000800
Training Epoch: 10 [15616/48750]	Loss: 0.0100	LR: 0.000800
Training Epoch: 10 [15872/48750]	Loss: 0.0133	LR: 0.000800
Training Epoch: 10 [16128/48750]	Loss: 0.0090	LR: 0.000800
Training Epoch: 10 [16384/48750]	Loss: 0.0075	LR: 0.000800
Training Epoch: 10 [16640/48750]	Loss: 0.0095	LR: 0.000800
Training Epoch: 10 [16896/48750]	Loss: 0.0098	LR: 0.000800
Training Epoch: 10 [17152/48750]	Loss: 0.0172	LR: 0.000800
Training Epoch: 10 [17408/48750]	Loss: 0.0112	LR: 0.000800
Training Epoch: 10 [17664/48750]	Loss: 0.0093	LR: 0.000800
Training Epoch: 10 [17920/48750]	Loss: 0.0093	LR: 0.000800
Training Epoch: 10 [18176/48750]	Loss: 0.0083	LR: 0.000800
Training Epoch: 10 [18432/48750]	Loss: 0.0088	LR: 0.000800
Training Epoch: 10 [18688/48750]	Loss: 0.0116	LR: 0.000800
Training Epoch: 10 [18944/48750]	Loss: 0.0127	LR: 0.000800
Training Epoch: 10 [19200/48750]	Loss: 0.0106	LR: 0.000800
Training Epoch: 10 [19456/48750]	Loss: 0.0093	LR: 0.000800
Training Epoch: 10 [19712/48750]	Loss: 0.0082	LR: 0.000800
Training Epoch: 10 [19968/48750]	Loss: 0.0089	LR: 0.000800
Training Epoch: 10 [20224/48750]	Loss: 0.0110	LR: 0.000800
Training Epoch: 10 [20480/48750]	Loss: 0.0111	LR: 0.000800
Training Epoch: 10 [20736/48750]	Loss: 0.0113	LR: 0.000800
Training Epoch: 10 [20992/48750]	Loss: 0.0085	LR: 0.000800
Training Epoch: 10 [21248/48750]	Loss: 0.0102	LR: 0.000800
Training Epoch: 10 [21504/48750]	Loss: 0.0106	LR: 0.000800
Training Epoch: 10 [21760/48750]	Loss: 0.0141	LR: 0.000800
Training Epoch: 10 [22016/48750]	Loss: 0.0105	LR: 0.000800
Training Epoch: 10 [22272/48750]	Loss: 0.0092	LR: 0.000800
Training Epoch: 10 [22528/48750]	Loss: 0.0099	LR: 0.000800
Training Epoch: 10 [22784/48750]	Loss: 0.0104	LR: 0.000800
Training Epoch: 10 [23040/48750]	Loss: 0.0142	LR: 0.000800
Training Epoch: 10 [23296/48750]	Loss: 0.0101	LR: 0.000800
Training Epoch: 10 [23552/48750]	Loss: 0.0076	LR: 0.000800
Training Epoch: 10 [23808/48750]	Loss: 0.0087	LR: 0.000800
Training Epoch: 10 [24064/48750]	Loss: 0.0095	LR: 0.000800
Training Epoch: 10 [24320/48750]	Loss: 0.0071	LR: 0.000800
Training Epoch: 10 [24576/48750]	Loss: 0.0098	LR: 0.000800
Training Epoch: 10 [24832/48750]	Loss: 0.0113	LR: 0.000800
Training Epoch: 10 [25088/48750]	Loss: 0.0095	LR: 0.000800
Training Epoch: 10 [25344/48750]	Loss: 0.0096	LR: 0.000800
Training Epoch: 10 [25600/48750]	Loss: 0.0085	LR: 0.000800
Training Epoch: 10 [25856/48750]	Loss: 0.0133	LR: 0.000800
Training Epoch: 10 [26112/48750]	Loss: 0.0069	LR: 0.000800
Training Epoch: 10 [26368/48750]	Loss: 0.0097	LR: 0.000800
Training Epoch: 10 [26624/48750]	Loss: 0.0068	LR: 0.000800
Training Epoch: 10 [26880/48750]	Loss: 0.0114	LR: 0.000800
Training Epoch: 10 [27136/48750]	Loss: 0.0091	LR: 0.000800
Training Epoch: 10 [27392/48750]	Loss: 0.0255	LR: 0.000800
Training Epoch: 10 [27648/48750]	Loss: 0.0079	LR: 0.000800
Training Epoch: 10 [27904/48750]	Loss: 0.0086	LR: 0.000800
Training Epoch: 10 [28160/48750]	Loss: 0.0080	LR: 0.000800
Training Epoch: 10 [28416/48750]	Loss: 0.0103	LR: 0.000800
Training Epoch: 10 [28672/48750]	Loss: 0.0078	LR: 0.000800
Training Epoch: 10 [28928/48750]	Loss: 0.0119	LR: 0.000800
Training Epoch: 10 [29184/48750]	Loss: 0.0117	LR: 0.000800
Training Epoch: 10 [29440/48750]	Loss: 0.0097	LR: 0.000800
Training Epoch: 10 [29696/48750]	Loss: 0.0076	LR: 0.000800
Training Epoch: 10 [29952/48750]	Loss: 0.0094	LR: 0.000800
Training Epoch: 10 [30208/48750]	Loss: 0.0107	LR: 0.000800
Training Epoch: 10 [30464/48750]	Loss: 0.0098	LR: 0.000800
Training Epoch: 10 [30720/48750]	Loss: 0.0100	LR: 0.000800
Training Epoch: 10 [30976/48750]	Loss: 0.0089	LR: 0.000800
Training Epoch: 10 [31232/48750]	Loss: 0.0084	LR: 0.000800
Training Epoch: 10 [31488/48750]	Loss: 0.0094	LR: 0.000800
Training Epoch: 10 [31744/48750]	Loss: 0.0104	LR: 0.000800
Training Epoch: 10 [32000/48750]	Loss: 0.0119	LR: 0.000800
Training Epoch: 10 [32256/48750]	Loss: 0.0117	LR: 0.000800
Training Epoch: 10 [32512/48750]	Loss: 0.0097	LR: 0.000800
Training Epoch: 10 [32768/48750]	Loss: 0.0065	LR: 0.000800
Training Epoch: 10 [33024/48750]	Loss: 0.0117	LR: 0.000800
Training Epoch: 10 [33280/48750]	Loss: 0.0069	LR: 0.000800
Training Epoch: 10 [33536/48750]	Loss: 0.0082	LR: 0.000800
Training Epoch: 10 [33792/48750]	Loss: 0.0091	LR: 0.000800
Training Epoch: 10 [34048/48750]	Loss: 0.0108	LR: 0.000800
Training Epoch: 10 [34304/48750]	Loss: 0.0092	LR: 0.000800
Training Epoch: 10 [34560/48750]	Loss: 0.0112	LR: 0.000800
Training Epoch: 10 [34816/48750]	Loss: 0.0072	LR: 0.000800
Training Epoch: 10 [35072/48750]	Loss: 0.0088	LR: 0.000800
Training Epoch: 10 [35328/48750]	Loss: 0.0097	LR: 0.000800
Training Epoch: 10 [35584/48750]	Loss: 0.0074	LR: 0.000800
Training Epoch: 10 [35840/48750]	Loss: 0.0079	LR: 0.000800
Training Epoch: 10 [36096/48750]	Loss: 0.0091	LR: 0.000800
Training Epoch: 10 [36352/48750]	Loss: 0.0126	LR: 0.000800
Training Epoch: 10 [36608/48750]	Loss: 0.0111	LR: 0.000800
Training Epoch: 10 [36864/48750]	Loss: 0.0094	LR: 0.000800
Training Epoch: 10 [37120/48750]	Loss: 0.0094	LR: 0.000800
Training Epoch: 10 [37376/48750]	Loss: 0.0082	LR: 0.000800
Training Epoch: 10 [37632/48750]	Loss: 0.0079	LR: 0.000800
Training Epoch: 10 [37888/48750]	Loss: 0.0144	LR: 0.000800
Training Epoch: 10 [38144/48750]	Loss: 0.0109	LR: 0.000800
Training Epoch: 10 [38400/48750]	Loss: 0.0102	LR: 0.000800
Training Epoch: 10 [38656/48750]	Loss: 0.0088	LR: 0.000800
Training Epoch: 10 [38912/48750]	Loss: 0.0107	LR: 0.000800
Training Epoch: 10 [39168/48750]	Loss: 0.0109	LR: 0.000800
Training Epoch: 10 [39424/48750]	Loss: 0.0105	LR: 0.000800
Training Epoch: 10 [39680/48750]	Loss: 0.0093	LR: 0.000800
Training Epoch: 10 [39936/48750]	Loss: 0.0107	LR: 0.000800
Training Epoch: 10 [40192/48750]	Loss: 0.0101	LR: 0.000800
Training Epoch: 10 [40448/48750]	Loss: 0.0078	LR: 0.000800
Training Epoch: 10 [40704/48750]	Loss: 0.0118	LR: 0.000800
Training Epoch: 10 [40960/48750]	Loss: 0.0095	LR: 0.000800
Training Epoch: 10 [41216/48750]	Loss: 0.0108	LR: 0.000800
Training Epoch: 10 [41472/48750]	Loss: 0.0102	LR: 0.000800
Training Epoch: 10 [41728/48750]	Loss: 0.0101	LR: 0.000800
Training Epoch: 10 [41984/48750]	Loss: 0.0093	LR: 0.000800
Training Epoch: 10 [42240/48750]	Loss: 0.0107	LR: 0.000800
Training Epoch: 10 [42496/48750]	Loss: 0.0106	LR: 0.000800
Training Epoch: 10 [42752/48750]	Loss: 0.0118	LR: 0.000800
Training Epoch: 10 [43008/48750]	Loss: 0.0084	LR: 0.000800
Training Epoch: 10 [43264/48750]	Loss: 0.0084	LR: 0.000800
Training Epoch: 10 [43520/48750]	Loss: 0.0097	LR: 0.000800
Training Epoch: 10 [43776/48750]	Loss: 0.0101	LR: 0.000800
Training Epoch: 10 [44032/48750]	Loss: 0.0088	LR: 0.000800
Training Epoch: 10 [44288/48750]	Loss: 0.0130	LR: 0.000800
Training Epoch: 10 [44544/48750]	Loss: 0.0088	LR: 0.000800
Training Epoch: 10 [44800/48750]	Loss: 0.0080	LR: 0.000800
Training Epoch: 10 [45056/48750]	Loss: 0.0094	LR: 0.000800
Training Epoch: 10 [45312/48750]	Loss: 0.0107	LR: 0.000800
Training Epoch: 10 [45568/48750]	Loss: 0.0105	LR: 0.000800
Training Epoch: 10 [45824/48750]	Loss: 0.0099	LR: 0.000800
Training Epoch: 10 [46080/48750]	Loss: 0.0120	LR: 0.000800
Training Epoch: 10 [46336/48750]	Loss: 0.0111	LR: 0.000800
Training Epoch: 10 [46592/48750]	Loss: 0.0095	LR: 0.000800
Training Epoch: 10 [46848/48750]	Loss: 0.0102	LR: 0.000800
Training Epoch: 10 [47104/48750]	Loss: 0.0076	LR: 0.000800
Training Epoch: 10 [47360/48750]	Loss: 0.0069	LR: 0.000800
Training Epoch: 10 [47616/48750]	Loss: 0.0082	LR: 0.000800
Training Epoch: 10 [47872/48750]	Loss: 0.0088	LR: 0.000800
Training Epoch: 10 [48128/48750]	Loss: 0.0102	LR: 0.000800
Training Epoch: 10 [48384/48750]	Loss: 0.0104	LR: 0.000800
Training Epoch: 10 [48640/48750]	Loss: 0.0093	LR: 0.000800
Training Epoch: 10 [48750/48750]	Loss: 0.0284	LR: 0.000800
Epoch 10 - Average Train Loss: 0.0101, Train Accuracy: 0.9999
Epoch 10 training time consumed: 19.11s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0026, Accuracy: 0.8248, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_19h_38m_03s/ResNet18-Cifar10-seed1-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: 82.451171875
Retain Accuracy: 99.99386596679688
Zero-Retain Forget (ZRF): 0.7777349948883057
Membership Inference Attack (MIA): 0.6248
Forget vs Retain Membership Inference Attack (MIA): 0.59
Forget vs Test Membership Inference Attack (MIA): 0.498
Test vs Retain Membership Inference Attack (MIA): 0.61725
Train vs Test Membership Inference Attack (MIA): 0.6285
Forget Set Accuracy (Df): 83.29231262207031
Method Execution Time: 1134.43 seconds
