hello
hello
Labels

📌S Retain class distribution for seed 9:
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 9:
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: 2.4856	LR: 0.000000
Training Epoch: 1 [512/45000]	Loss: 2.4729	LR: 0.000568
Training Epoch: 1 [768/45000]	Loss: 2.4834	LR: 0.001136
Training Epoch: 1 [1024/45000]	Loss: 2.4238	LR: 0.001705
Training Epoch: 1 [1280/45000]	Loss: 2.3813	LR: 0.002273
Training Epoch: 1 [1536/45000]	Loss: 2.3156	LR: 0.002841
Training Epoch: 1 [1792/45000]	Loss: 2.2377	LR: 0.003409
Training Epoch: 1 [2048/45000]	Loss: 2.2281	LR: 0.003977
Training Epoch: 1 [2304/45000]	Loss: 2.2745	LR: 0.004545
Training Epoch: 1 [2560/45000]	Loss: 2.3245	LR: 0.005114
Training Epoch: 1 [2816/45000]	Loss: 2.2582	LR: 0.005682
Training Epoch: 1 [3072/45000]	Loss: 2.2597	LR: 0.006250
Training Epoch: 1 [3328/45000]	Loss: 2.2941	LR: 0.006818
Training Epoch: 1 [3584/45000]	Loss: 1.9962	LR: 0.007386
Training Epoch: 1 [3840/45000]	Loss: 2.0093	LR: 0.007955
Training Epoch: 1 [4096/45000]	Loss: 2.0329	LR: 0.008523
Training Epoch: 1 [4352/45000]	Loss: 1.9623	LR: 0.009091
Training Epoch: 1 [4608/45000]	Loss: 1.8752	LR: 0.009659
Training Epoch: 1 [4864/45000]	Loss: 1.8842	LR: 0.010227
Training Epoch: 1 [5120/45000]	Loss: 1.8332	LR: 0.010795
Training Epoch: 1 [5376/45000]	Loss: 1.8581	LR: 0.011364
Training Epoch: 1 [5632/45000]	Loss: 1.6494	LR: 0.011932
Training Epoch: 1 [5888/45000]	Loss: 1.7141	LR: 0.012500
Training Epoch: 1 [6144/45000]	Loss: 1.8196	LR: 0.013068
Training Epoch: 1 [6400/45000]	Loss: 1.7280	LR: 0.013636
Training Epoch: 1 [6656/45000]	Loss: 1.8357	LR: 0.014205
Training Epoch: 1 [6912/45000]	Loss: 1.7019	LR: 0.014773
Training Epoch: 1 [7168/45000]	Loss: 1.8072	LR: 0.015341
Training Epoch: 1 [7424/45000]	Loss: 1.7079	LR: 0.015909
Training Epoch: 1 [7680/45000]	Loss: 1.7547	LR: 0.016477
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Training Epoch: 1 [8192/45000]	Loss: 1.6672	LR: 0.017614
Training Epoch: 1 [8448/45000]	Loss: 1.8192	LR: 0.018182
Training Epoch: 1 [8704/45000]	Loss: 1.8024	LR: 0.018750
Training Epoch: 1 [8960/45000]	Loss: 1.5913	LR: 0.019318
Training Epoch: 1 [9216/45000]	Loss: 1.6624	LR: 0.019886
Training Epoch: 1 [9472/45000]	Loss: 1.5776	LR: 0.020455
Training Epoch: 1 [9728/45000]	Loss: 1.6592	LR: 0.021023
Training Epoch: 1 [9984/45000]	Loss: 1.5905	LR: 0.021591
Training Epoch: 1 [10240/45000]	Loss: 1.5764	LR: 0.022159
Training Epoch: 1 [10496/45000]	Loss: 1.6832	LR: 0.022727
Training Epoch: 1 [10752/45000]	Loss: 1.5383	LR: 0.023295
Training Epoch: 1 [11008/45000]	Loss: 1.6381	LR: 0.023864
Training Epoch: 1 [11264/45000]	Loss: 1.4779	LR: 0.024432
Training Epoch: 1 [11520/45000]	Loss: 1.7467	LR: 0.025000
Training Epoch: 1 [11776/45000]	Loss: 1.5333	LR: 0.025568
Training Epoch: 1 [12032/45000]	Loss: 1.5834	LR: 0.026136
Training Epoch: 1 [12288/45000]	Loss: 1.6473	LR: 0.026705
Training Epoch: 1 [12544/45000]	Loss: 1.5140	LR: 0.027273
Training Epoch: 1 [12800/45000]	Loss: 1.6682	LR: 0.027841
Training Epoch: 1 [13056/45000]	Loss: 1.6175	LR: 0.028409
Training Epoch: 1 [13312/45000]	Loss: 1.5180	LR: 0.028977
Training Epoch: 1 [13568/45000]	Loss: 1.7244	LR: 0.029545
Training Epoch: 1 [13824/45000]	Loss: 1.6457	LR: 0.030114
Training Epoch: 1 [14080/45000]	Loss: 1.5690	LR: 0.030682
Training Epoch: 1 [14336/45000]	Loss: 1.5983	LR: 0.031250
Training Epoch: 1 [14592/45000]	Loss: 1.6036	LR: 0.031818
Training Epoch: 1 [14848/45000]	Loss: 1.4925	LR: 0.032386
Training Epoch: 1 [15104/45000]	Loss: 1.6143	LR: 0.032955
Training Epoch: 1 [15360/45000]	Loss: 1.4711	LR: 0.033523
Training Epoch: 1 [15616/45000]	Loss: 1.6630	LR: 0.034091
Training Epoch: 1 [15872/45000]	Loss: 1.5925	LR: 0.034659
Training Epoch: 1 [16128/45000]	Loss: 1.5124	LR: 0.035227
Training Epoch: 1 [16384/45000]	Loss: 1.6468	LR: 0.035795
Training Epoch: 1 [16640/45000]	Loss: 1.5535	LR: 0.036364
Training Epoch: 1 [16896/45000]	Loss: 1.4734	LR: 0.036932
Training Epoch: 1 [17152/45000]	Loss: 1.6662	LR: 0.037500
Training Epoch: 1 [17408/45000]	Loss: 1.5583	LR: 0.038068
Training Epoch: 1 [17664/45000]	Loss: 1.4741	LR: 0.038636
Training Epoch: 1 [17920/45000]	Loss: 1.3848	LR: 0.039205
Training Epoch: 1 [18176/45000]	Loss: 1.4021	LR: 0.039773
Training Epoch: 1 [18432/45000]	Loss: 1.4192	LR: 0.040341
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Training Epoch: 1 [18944/45000]	Loss: 1.5486	LR: 0.041477
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Training Epoch: 1 [19712/45000]	Loss: 1.4390	LR: 0.043182
Training Epoch: 1 [19968/45000]	Loss: 1.4685	LR: 0.043750
Training Epoch: 1 [20224/45000]	Loss: 1.6955	LR: 0.044318
Training Epoch: 1 [20480/45000]	Loss: 1.6470	LR: 0.044886
Training Epoch: 1 [20736/45000]	Loss: 1.4489	LR: 0.045455
Training Epoch: 1 [20992/45000]	Loss: 1.7251	LR: 0.046023
Training Epoch: 1 [21248/45000]	Loss: 1.6238	LR: 0.046591
Training Epoch: 1 [21504/45000]	Loss: 1.4989	LR: 0.047159
Training Epoch: 1 [21760/45000]	Loss: 1.6386	LR: 0.047727
Training Epoch: 1 [22016/45000]	Loss: 1.6480	LR: 0.048295
Training Epoch: 1 [22272/45000]	Loss: 1.7232	LR: 0.048864
Training Epoch: 1 [22528/45000]	Loss: 1.4372	LR: 0.049432
Training Epoch: 1 [22784/45000]	Loss: 1.6373	LR: 0.050000
Training Epoch: 1 [23040/45000]	Loss: 1.3511	LR: 0.050568
Training Epoch: 1 [23296/45000]	Loss: 1.5050	LR: 0.051136
Training Epoch: 1 [23552/45000]	Loss: 1.6098	LR: 0.051705
Training Epoch: 1 [23808/45000]	Loss: 1.3776	LR: 0.052273
Training Epoch: 1 [24064/45000]	Loss: 1.5265	LR: 0.052841
Training Epoch: 1 [24320/45000]	Loss: 1.5792	LR: 0.053409
Training Epoch: 1 [24576/45000]	Loss: 1.3493	LR: 0.053977
Training Epoch: 1 [24832/45000]	Loss: 1.3748	LR: 0.054545
Training Epoch: 1 [25088/45000]	Loss: 1.5671	LR: 0.055114
Training Epoch: 1 [25344/45000]	Loss: 1.3947	LR: 0.055682
Training Epoch: 1 [25600/45000]	Loss: 1.5499	LR: 0.056250
Training Epoch: 1 [25856/45000]	Loss: 1.5394	LR: 0.056818
Training Epoch: 1 [26112/45000]	Loss: 1.4935	LR: 0.057386
Training Epoch: 1 [26368/45000]	Loss: 1.4165	LR: 0.057955
Training Epoch: 1 [26624/45000]	Loss: 1.4750	LR: 0.058523
Training Epoch: 1 [26880/45000]	Loss: 1.4333	LR: 0.059091
Training Epoch: 1 [27136/45000]	Loss: 1.4910	LR: 0.059659
Training Epoch: 1 [27392/45000]	Loss: 1.3987	LR: 0.060227
Training Epoch: 1 [27648/45000]	Loss: 1.4900	LR: 0.060795
Training Epoch: 1 [27904/45000]	Loss: 1.3500	LR: 0.061364
Training Epoch: 1 [28160/45000]	Loss: 1.3183	LR: 0.061932
Training Epoch: 1 [28416/45000]	Loss: 1.3433	LR: 0.062500
Training Epoch: 1 [28672/45000]	Loss: 1.2268	LR: 0.063068
Training Epoch: 1 [28928/45000]	Loss: 1.3195	LR: 0.063636
Training Epoch: 1 [29184/45000]	Loss: 1.2629	LR: 0.064205
Training Epoch: 1 [29440/45000]	Loss: 1.3975	LR: 0.064773
Training Epoch: 1 [29696/45000]	Loss: 1.4231	LR: 0.065341
Training Epoch: 1 [29952/45000]	Loss: 1.3187	LR: 0.065909
Training Epoch: 1 [30208/45000]	Loss: 1.2244	LR: 0.066477
Training Epoch: 1 [30464/45000]	Loss: 1.1611	LR: 0.067045
Training Epoch: 1 [30720/45000]	Loss: 1.1337	LR: 0.067614
Training Epoch: 1 [30976/45000]	Loss: 1.3984	LR: 0.068182
Training Epoch: 1 [31232/45000]	Loss: 1.3224	LR: 0.068750
Training Epoch: 1 [31488/45000]	Loss: 1.4621	LR: 0.069318
Training Epoch: 1 [31744/45000]	Loss: 1.5112	LR: 0.069886
Training Epoch: 1 [32000/45000]	Loss: 1.3991	LR: 0.070455
Training Epoch: 1 [32256/45000]	Loss: 1.4896	LR: 0.071023
Training Epoch: 1 [32512/45000]	Loss: 1.3907	LR: 0.071591
Training Epoch: 1 [32768/45000]	Loss: 1.4737	LR: 0.072159
Training Epoch: 1 [33024/45000]	Loss: 1.6752	LR: 0.072727
Training Epoch: 1 [33280/45000]	Loss: 1.2763	LR: 0.073295
Training Epoch: 1 [33536/45000]	Loss: 1.2636	LR: 0.073864
Training Epoch: 1 [33792/45000]	Loss: 1.5407	LR: 0.074432
Training Epoch: 1 [34048/45000]	Loss: 1.2772	LR: 0.075000
Training Epoch: 1 [34304/45000]	Loss: 1.4705	LR: 0.075568
Training Epoch: 1 [34560/45000]	Loss: 1.3429	LR: 0.076136
Training Epoch: 1 [34816/45000]	Loss: 1.4043	LR: 0.076705
Training Epoch: 1 [35072/45000]	Loss: 1.2362	LR: 0.077273
Training Epoch: 1 [35328/45000]	Loss: 1.3334	LR: 0.077841
Training Epoch: 1 [35584/45000]	Loss: 1.3197	LR: 0.078409
Training Epoch: 1 [35840/45000]	Loss: 1.3130	LR: 0.078977
Training Epoch: 1 [36096/45000]	Loss: 1.3641	LR: 0.079545
Training Epoch: 1 [36352/45000]	Loss: 1.2038	LR: 0.080114
Training Epoch: 1 [36608/45000]	Loss: 1.4299	LR: 0.080682
Training Epoch: 1 [36864/45000]	Loss: 1.3468	LR: 0.081250
Training Epoch: 1 [37120/45000]	Loss: 1.1480	LR: 0.081818
Training Epoch: 1 [37376/45000]	Loss: 1.3315	LR: 0.082386
Training Epoch: 1 [37632/45000]	Loss: 1.3109	LR: 0.082955
Training Epoch: 1 [37888/45000]	Loss: 1.1460	LR: 0.083523
Training Epoch: 1 [38144/45000]	Loss: 1.3659	LR: 0.084091
Training Epoch: 1 [38400/45000]	Loss: 1.4197	LR: 0.084659
Training Epoch: 1 [38656/45000]	Loss: 1.3804	LR: 0.085227
Training Epoch: 1 [38912/45000]	Loss: 1.2690	LR: 0.085795
Training Epoch: 1 [39168/45000]	Loss: 1.2590	LR: 0.086364
Training Epoch: 1 [39424/45000]	Loss: 1.2567	LR: 0.086932
Training Epoch: 1 [39680/45000]	Loss: 1.5809	LR: 0.087500
Training Epoch: 1 [39936/45000]	Loss: 1.2695	LR: 0.088068
Training Epoch: 1 [40192/45000]	Loss: 1.2556	LR: 0.088636
Training Epoch: 1 [40448/45000]	Loss: 1.3378	LR: 0.089205
Training Epoch: 1 [40704/45000]	Loss: 1.0679	LR: 0.089773
Training Epoch: 1 [40960/45000]	Loss: 1.2463	LR: 0.090341
Training Epoch: 1 [41216/45000]	Loss: 1.1979	LR: 0.090909
Training Epoch: 1 [41472/45000]	Loss: 1.2136	LR: 0.091477
Training Epoch: 1 [41728/45000]	Loss: 1.2811	LR: 0.092045
Training Epoch: 1 [41984/45000]	Loss: 1.3089	LR: 0.092614
Training Epoch: 1 [42240/45000]	Loss: 1.2926	LR: 0.093182
Training Epoch: 1 [42496/45000]	Loss: 1.1760	LR: 0.093750
Training Epoch: 1 [42752/45000]	Loss: 1.2786	LR: 0.094318
Training Epoch: 1 [43008/45000]	Loss: 1.2560	LR: 0.094886
Training Epoch: 1 [43264/45000]	Loss: 1.1595	LR: 0.095455
Training Epoch: 1 [43520/45000]	Loss: 1.3605	LR: 0.096023
Training Epoch: 1 [43776/45000]	Loss: 1.1973	LR: 0.096591
Training Epoch: 1 [44032/45000]	Loss: 1.1167	LR: 0.097159
Training Epoch: 1 [44288/45000]	Loss: 1.3060	LR: 0.097727
Training Epoch: 1 [44544/45000]	Loss: 1.0023	LR: 0.098295
Training Epoch: 1 [44800/45000]	Loss: 1.1532	LR: 0.098864
Training Epoch: 1 [45000/45000]	Loss: 1.3324	LR: 0.099432
Epoch 1 - Average Train Loss: 1.5466, Train Accuracy: 0.4413
Epoch 1 training time consumed: 18.01s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0050, Accuracy: 0.5748, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_01h_40m_40s/ResNet18-Cifar10-seed9-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: 57.744140625
Retain Accuracy: 59.0341796875
Zero-Retain Forget (ZRF): 0.9108001589775085
Membership Inference Attack (MIA): 0.4046
Forget vs Retain Membership Inference Attack (MIA): 0.5715
Forget vs Test Membership Inference Attack (MIA): 0.5
Test vs Retain Membership Inference Attack (MIA): 0.59775
Train vs Test Membership Inference Attack (MIA): 0.50775
Forget Set Accuracy (Df): 57.7263298034668
Method Execution Time: 960.70 seconds
