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
78090990
hello
hello
⚠️ Warning: Retain train loader may not be shuffled.
Training Epoch: 1 [256/45000]	Loss: 2.4267	LR: 0.000000
Training Epoch: 1 [512/45000]	Loss: 2.3688	LR: 0.000568
Training Epoch: 1 [768/45000]	Loss: 2.3813	LR: 0.001136
Training Epoch: 1 [1024/45000]	Loss: 2.3382	LR: 0.001705
Training Epoch: 1 [1280/45000]	Loss: 2.2815	LR: 0.002273
Training Epoch: 1 [1536/45000]	Loss: 2.2670	LR: 0.002841
Training Epoch: 1 [1792/45000]	Loss: 2.2089	LR: 0.003409
Training Epoch: 1 [2048/45000]	Loss: 2.2374	LR: 0.003977
Training Epoch: 1 [2304/45000]	Loss: 2.2675	LR: 0.004545
Training Epoch: 1 [2560/45000]	Loss: 2.2777	LR: 0.005114
Training Epoch: 1 [2816/45000]	Loss: 2.2378	LR: 0.005682
Training Epoch: 1 [3072/45000]	Loss: 2.0916	LR: 0.006250
Training Epoch: 1 [3328/45000]	Loss: 2.0521	LR: 0.006818
Training Epoch: 1 [3584/45000]	Loss: 2.0864	LR: 0.007386
Training Epoch: 1 [3840/45000]	Loss: 1.9658	LR: 0.007955
Training Epoch: 1 [4096/45000]	Loss: 1.9628	LR: 0.008523
Training Epoch: 1 [4352/45000]	Loss: 1.8307	LR: 0.009091
Training Epoch: 1 [4608/45000]	Loss: 1.9328	LR: 0.009659
Training Epoch: 1 [4864/45000]	Loss: 1.8540	LR: 0.010227
Training Epoch: 1 [5120/45000]	Loss: 1.8598	LR: 0.010795
Training Epoch: 1 [5376/45000]	Loss: 1.8373	LR: 0.011364
Training Epoch: 1 [5632/45000]	Loss: 1.7852	LR: 0.011932
Training Epoch: 1 [5888/45000]	Loss: 1.9092	LR: 0.012500
Training Epoch: 1 [6144/45000]	Loss: 1.7515	LR: 0.013068
Training Epoch: 1 [6400/45000]	Loss: 1.7428	LR: 0.013636
Training Epoch: 1 [6656/45000]	Loss: 1.9091	LR: 0.014205
Training Epoch: 1 [6912/45000]	Loss: 1.7784	LR: 0.014773
Training Epoch: 1 [7168/45000]	Loss: 1.6630	LR: 0.015341
Training Epoch: 1 [7424/45000]	Loss: 1.7167	LR: 0.015909
Training Epoch: 1 [7680/45000]	Loss: 1.7940	LR: 0.016477
Training Epoch: 1 [7936/45000]	Loss: 1.6051	LR: 0.017045
Training Epoch: 1 [8192/45000]	Loss: 1.7215	LR: 0.017614
Training Epoch: 1 [8448/45000]	Loss: 1.8427	LR: 0.018182
Training Epoch: 1 [8704/45000]	Loss: 1.6289	LR: 0.018750
Training Epoch: 1 [8960/45000]	Loss: 1.7079	LR: 0.019318
Training Epoch: 1 [9216/45000]	Loss: 1.8051	LR: 0.019886
Training Epoch: 1 [9472/45000]	Loss: 1.5894	LR: 0.020455
Training Epoch: 1 [9728/45000]	Loss: 1.7822	LR: 0.021023
Training Epoch: 1 [9984/45000]	Loss: 1.6991	LR: 0.021591
Training Epoch: 1 [10240/45000]	Loss: 1.7410	LR: 0.022159
Training Epoch: 1 [10496/45000]	Loss: 1.8907	LR: 0.022727
Training Epoch: 1 [10752/45000]	Loss: 1.7483	LR: 0.023295
Training Epoch: 1 [11008/45000]	Loss: 1.7860	LR: 0.023864
Training Epoch: 1 [11264/45000]	Loss: 1.7322	LR: 0.024432
Training Epoch: 1 [11520/45000]	Loss: 1.7869	LR: 0.025000
Training Epoch: 1 [11776/45000]	Loss: 1.5567	LR: 0.025568
Training Epoch: 1 [12032/45000]	Loss: 1.6487	LR: 0.026136
Training Epoch: 1 [12288/45000]	Loss: 1.6593	LR: 0.026705
Training Epoch: 1 [12544/45000]	Loss: 1.5278	LR: 0.027273
Training Epoch: 1 [12800/45000]	Loss: 1.5848	LR: 0.027841
Training Epoch: 1 [13056/45000]	Loss: 1.6377	LR: 0.028409
Training Epoch: 1 [13312/45000]	Loss: 1.6362	LR: 0.028977
Training Epoch: 1 [13568/45000]	Loss: 1.6589	LR: 0.029545
Training Epoch: 1 [13824/45000]	Loss: 1.9045	LR: 0.030114
Training Epoch: 1 [14080/45000]	Loss: 1.5976	LR: 0.030682
Training Epoch: 1 [14336/45000]	Loss: 1.7062	LR: 0.031250
Training Epoch: 1 [14592/45000]	Loss: 1.7605	LR: 0.031818
Training Epoch: 1 [14848/45000]	Loss: 1.5547	LR: 0.032386
Training Epoch: 1 [15104/45000]	Loss: 1.8358	LR: 0.032955
Training Epoch: 1 [15360/45000]	Loss: 1.7976	LR: 0.033523
Training Epoch: 1 [15616/45000]	Loss: 1.8487	LR: 0.034091
Training Epoch: 1 [15872/45000]	Loss: 1.5963	LR: 0.034659
Training Epoch: 1 [16128/45000]	Loss: 1.6065	LR: 0.035227
Training Epoch: 1 [16384/45000]	Loss: 1.5511	LR: 0.035795
Training Epoch: 1 [16640/45000]	Loss: 1.5194	LR: 0.036364
Training Epoch: 1 [16896/45000]	Loss: 1.5562	LR: 0.036932
Training Epoch: 1 [17152/45000]	Loss: 1.6590	LR: 0.037500
Training Epoch: 1 [17408/45000]	Loss: 1.5047	LR: 0.038068
Training Epoch: 1 [17664/45000]	Loss: 1.7060	LR: 0.038636
Training Epoch: 1 [17920/45000]	Loss: 1.5514	LR: 0.039205
Training Epoch: 1 [18176/45000]	Loss: 1.5720	LR: 0.039773
Training Epoch: 1 [18432/45000]	Loss: 1.7858	LR: 0.040341
Training Epoch: 1 [18688/45000]	Loss: 1.4990	LR: 0.040909
Training Epoch: 1 [18944/45000]	Loss: 1.5630	LR: 0.041477
Training Epoch: 1 [19200/45000]	Loss: 1.6058	LR: 0.042045
Training Epoch: 1 [19456/45000]	Loss: 1.4832	LR: 0.042614
Training Epoch: 1 [19712/45000]	Loss: 1.5740	LR: 0.043182
Training Epoch: 1 [19968/45000]	Loss: 1.4832	LR: 0.043750
Training Epoch: 1 [20224/45000]	Loss: 1.8243	LR: 0.044318
Training Epoch: 1 [20480/45000]	Loss: 1.3972	LR: 0.044886
Training Epoch: 1 [20736/45000]	Loss: 1.5285	LR: 0.045455
Training Epoch: 1 [20992/45000]	Loss: 1.6361	LR: 0.046023
Training Epoch: 1 [21248/45000]	Loss: 1.5447	LR: 0.046591
Training Epoch: 1 [21504/45000]	Loss: 1.5657	LR: 0.047159
Training Epoch: 1 [21760/45000]	Loss: 1.4887	LR: 0.047727
Training Epoch: 1 [22016/45000]	Loss: 1.4733	LR: 0.048295
Training Epoch: 1 [22272/45000]	Loss: 1.5040	LR: 0.048864
Training Epoch: 1 [22528/45000]	Loss: 1.4975	LR: 0.049432
Training Epoch: 1 [22784/45000]	Loss: 1.5659	LR: 0.050000
Training Epoch: 1 [23040/45000]	Loss: 1.5710	LR: 0.050568
Training Epoch: 1 [23296/45000]	Loss: 1.6706	LR: 0.051136
Training Epoch: 1 [23552/45000]	Loss: 1.7082	LR: 0.051705
Training Epoch: 1 [23808/45000]	Loss: 1.4365	LR: 0.052273
Training Epoch: 1 [24064/45000]	Loss: 1.4665	LR: 0.052841
Training Epoch: 1 [24320/45000]	Loss: 1.5889	LR: 0.053409
Training Epoch: 1 [24576/45000]	Loss: 1.6124	LR: 0.053977
Training Epoch: 1 [24832/45000]	Loss: 1.5474	LR: 0.054545
Training Epoch: 1 [25088/45000]	Loss: 1.3963	LR: 0.055114
Training Epoch: 1 [25344/45000]	Loss: 1.4274	LR: 0.055682
Training Epoch: 1 [25600/45000]	Loss: 1.5261	LR: 0.056250
Training Epoch: 1 [25856/45000]	Loss: 1.5614	LR: 0.056818
Training Epoch: 1 [26112/45000]	Loss: 1.6654	LR: 0.057386
Training Epoch: 1 [26368/45000]	Loss: 1.4737	LR: 0.057955
Training Epoch: 1 [26624/45000]	Loss: 1.4905	LR: 0.058523
Training Epoch: 1 [26880/45000]	Loss: 1.5041	LR: 0.059091
Training Epoch: 1 [27136/45000]	Loss: 1.4386	LR: 0.059659
Training Epoch: 1 [27392/45000]	Loss: 1.3100	LR: 0.060227
Training Epoch: 1 [27648/45000]	Loss: 1.4467	LR: 0.060795
Training Epoch: 1 [27904/45000]	Loss: 1.3886	LR: 0.061364
Training Epoch: 1 [28160/45000]	Loss: 1.3522	LR: 0.061932
Training Epoch: 1 [28416/45000]	Loss: 1.4147	LR: 0.062500
Training Epoch: 1 [28672/45000]	Loss: 1.5958	LR: 0.063068
Training Epoch: 1 [28928/45000]	Loss: 1.5857	LR: 0.063636
Training Epoch: 1 [29184/45000]	Loss: 1.3400	LR: 0.064205
Training Epoch: 1 [29440/45000]	Loss: 1.5653	LR: 0.064773
Training Epoch: 1 [29696/45000]	Loss: 1.5717	LR: 0.065341
Training Epoch: 1 [29952/45000]	Loss: 1.5908	LR: 0.065909
Training Epoch: 1 [30208/45000]	Loss: 1.4954	LR: 0.066477
Training Epoch: 1 [30464/45000]	Loss: 1.4280	LR: 0.067045
Training Epoch: 1 [30720/45000]	Loss: 1.4458	LR: 0.067614
Training Epoch: 1 [30976/45000]	Loss: 1.4456	LR: 0.068182
Training Epoch: 1 [31232/45000]	Loss: 1.2961	LR: 0.068750
Training Epoch: 1 [31488/45000]	Loss: 1.4619	LR: 0.069318
Training Epoch: 1 [31744/45000]	Loss: 1.4468	LR: 0.069886
Training Epoch: 1 [32000/45000]	Loss: 1.5509	LR: 0.070455
Training Epoch: 1 [32256/45000]	Loss: 1.4751	LR: 0.071023
Training Epoch: 1 [32512/45000]	Loss: 1.5314	LR: 0.071591
Training Epoch: 1 [32768/45000]	Loss: 1.3681	LR: 0.072159
Training Epoch: 1 [33024/45000]	Loss: 1.4451	LR: 0.072727
Training Epoch: 1 [33280/45000]	Loss: 1.5579	LR: 0.073295
Training Epoch: 1 [33536/45000]	Loss: 1.3040	LR: 0.073864
Training Epoch: 1 [33792/45000]	Loss: 1.3253	LR: 0.074432
Training Epoch: 1 [34048/45000]	Loss: 1.3130	LR: 0.075000
Training Epoch: 1 [34304/45000]	Loss: 1.3498	LR: 0.075568
Training Epoch: 1 [34560/45000]	Loss: 1.2630	LR: 0.076136
Training Epoch: 1 [34816/45000]	Loss: 1.3938	LR: 0.076705
Training Epoch: 1 [35072/45000]	Loss: 1.4529	LR: 0.077273
Training Epoch: 1 [35328/45000]	Loss: 1.3683	LR: 0.077841
Training Epoch: 1 [35584/45000]	Loss: 1.4671	LR: 0.078409
Training Epoch: 1 [35840/45000]	Loss: 1.3807	LR: 0.078977
Training Epoch: 1 [36096/45000]	Loss: 1.4022	LR: 0.079545
Training Epoch: 1 [36352/45000]	Loss: 1.2989	LR: 0.080114
Training Epoch: 1 [36608/45000]	Loss: 1.2136	LR: 0.080682
Training Epoch: 1 [36864/45000]	Loss: 1.3567	LR: 0.081250
Training Epoch: 1 [37120/45000]	Loss: 1.4296	LR: 0.081818
Training Epoch: 1 [37376/45000]	Loss: 1.6284	LR: 0.082386
Training Epoch: 1 [37632/45000]	Loss: 1.5701	LR: 0.082955
Training Epoch: 1 [37888/45000]	Loss: 1.3036	LR: 0.083523
Training Epoch: 1 [38144/45000]	Loss: 1.4336	LR: 0.084091
Training Epoch: 1 [38400/45000]	Loss: 1.4768	LR: 0.084659
Training Epoch: 1 [38656/45000]	Loss: 1.3596	LR: 0.085227
Training Epoch: 1 [38912/45000]	Loss: 1.5054	LR: 0.085795
Training Epoch: 1 [39168/45000]	Loss: 1.2828	LR: 0.086364
Training Epoch: 1 [39424/45000]	Loss: 1.3177	LR: 0.086932
Training Epoch: 1 [39680/45000]	Loss: 1.3184	LR: 0.087500
Training Epoch: 1 [39936/45000]	Loss: 1.3288	LR: 0.088068
Training Epoch: 1 [40192/45000]	Loss: 1.2809	LR: 0.088636
Training Epoch: 1 [40448/45000]	Loss: 1.2171	LR: 0.089205
Training Epoch: 1 [40704/45000]	Loss: 1.3416	LR: 0.089773
Training Epoch: 1 [40960/45000]	Loss: 1.1881	LR: 0.090341
Training Epoch: 1 [41216/45000]	Loss: 1.2892	LR: 0.090909
Training Epoch: 1 [41472/45000]	Loss: 1.2508	LR: 0.091477
Training Epoch: 1 [41728/45000]	Loss: 1.2884	LR: 0.092045
Training Epoch: 1 [41984/45000]	Loss: 1.2446	LR: 0.092614
Training Epoch: 1 [42240/45000]	Loss: 1.3082	LR: 0.093182
Training Epoch: 1 [42496/45000]	Loss: 1.3506	LR: 0.093750
Training Epoch: 1 [42752/45000]	Loss: 1.1898	LR: 0.094318
Training Epoch: 1 [43008/45000]	Loss: 1.2646	LR: 0.094886
Training Epoch: 1 [43264/45000]	Loss: 1.3475	LR: 0.095455
Training Epoch: 1 [43520/45000]	Loss: 1.2290	LR: 0.096023
Training Epoch: 1 [43776/45000]	Loss: 1.0981	LR: 0.096591
Training Epoch: 1 [44032/45000]	Loss: 1.2758	LR: 0.097159
Training Epoch: 1 [44288/45000]	Loss: 1.3462	LR: 0.097727
Training Epoch: 1 [44544/45000]	Loss: 1.1806	LR: 0.098295
Training Epoch: 1 [44800/45000]	Loss: 1.2421	LR: 0.098864
Training Epoch: 1 [45000/45000]	Loss: 1.2537	LR: 0.099432
Epoch 1 - Average Train Loss: 1.5906, Train Accuracy: 0.4194
Epoch 1 training time consumed: 18.43s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0097, Accuracy: 0.4101, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Friday_01_August_2025_23h_30m_50s/ResNet18-Cifar10-seed1-ret100-1-best.pth
Valid (Test) Dl:  10000
Train Dl:  50000
Retain Train Dl:  45000
Forget Train Dl:  5000
Retain Valid Dl:  45000
Forget Valid Dl:  5000
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 5000 samples
Set1 Distribution: 5000 samples
Set2 Distribution: 5000 samples
Set1 Distribution: 5000 samples
Set2 Distribution: 5000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Test Accuracy: 40.927734375
Retain Accuracy: 42.194602966308594
Zero-Retain Forget (ZRF): 0.8963314890861511
Membership Inference Attack (MIA): 0.4642
Forget vs Retain Membership Inference Attack (MIA): 0.572
Forget vs Test Membership Inference Attack (MIA): 0.5015
Test vs Retain Membership Inference Attack (MIA): 0.53175
Train vs Test Membership Inference Attack (MIA): 0.49875
Forget Set Accuracy (Df): 42.428768157958984
Method Execution Time: 950.81 seconds
