hello
hello
Labels

📌S Retain class distribution for seed 7:
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 7:
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: 2.4398	LR: 0.000000
Training Epoch: 1 [512/45000]	Loss: 2.3915	LR: 0.000568
Training Epoch: 1 [768/45000]	Loss: 2.4212	LR: 0.001136
Training Epoch: 1 [1024/45000]	Loss: 2.3671	LR: 0.001705
Training Epoch: 1 [1280/45000]	Loss: 2.3434	LR: 0.002273
Training Epoch: 1 [1536/45000]	Loss: 2.2662	LR: 0.002841
Training Epoch: 1 [1792/45000]	Loss: 2.2377	LR: 0.003409
Training Epoch: 1 [2048/45000]	Loss: 2.2055	LR: 0.003977
Training Epoch: 1 [2304/45000]	Loss: 2.2632	LR: 0.004545
Training Epoch: 1 [2560/45000]	Loss: 2.2404	LR: 0.005114
Training Epoch: 1 [2816/45000]	Loss: 2.2474	LR: 0.005682
Training Epoch: 1 [3072/45000]	Loss: 2.0627	LR: 0.006250
Training Epoch: 1 [3328/45000]	Loss: 2.0589	LR: 0.006818
Training Epoch: 1 [3584/45000]	Loss: 2.0417	LR: 0.007386
Training Epoch: 1 [3840/45000]	Loss: 1.9619	LR: 0.007955
Training Epoch: 1 [4096/45000]	Loss: 1.8951	LR: 0.008523
Training Epoch: 1 [4352/45000]	Loss: 1.9118	LR: 0.009091
Training Epoch: 1 [4608/45000]	Loss: 1.9025	LR: 0.009659
Training Epoch: 1 [4864/45000]	Loss: 1.8546	LR: 0.010227
Training Epoch: 1 [5120/45000]	Loss: 1.7882	LR: 0.010795
Training Epoch: 1 [5376/45000]	Loss: 1.8536	LR: 0.011364
Training Epoch: 1 [5632/45000]	Loss: 1.8908	LR: 0.011932
Training Epoch: 1 [5888/45000]	Loss: 1.8489	LR: 0.012500
Training Epoch: 1 [6144/45000]	Loss: 1.7347	LR: 0.013068
Training Epoch: 1 [6400/45000]	Loss: 1.9272	LR: 0.013636
Training Epoch: 1 [6656/45000]	Loss: 1.7984	LR: 0.014205
Training Epoch: 1 [6912/45000]	Loss: 1.7380	LR: 0.014773
Training Epoch: 1 [7168/45000]	Loss: 1.8228	LR: 0.015341
Training Epoch: 1 [7424/45000]	Loss: 1.8784	LR: 0.015909
Training Epoch: 1 [7680/45000]	Loss: 1.8091	LR: 0.016477
Training Epoch: 1 [7936/45000]	Loss: 1.7145	LR: 0.017045
Training Epoch: 1 [8192/45000]	Loss: 1.6720	LR: 0.017614
Training Epoch: 1 [8448/45000]	Loss: 1.6850	LR: 0.018182
Training Epoch: 1 [8704/45000]	Loss: 1.6512	LR: 0.018750
Training Epoch: 1 [8960/45000]	Loss: 1.6299	LR: 0.019318
Training Epoch: 1 [9216/45000]	Loss: 1.6411	LR: 0.019886
Training Epoch: 1 [9472/45000]	Loss: 1.4816	LR: 0.020455
Training Epoch: 1 [9728/45000]	Loss: 1.5058	LR: 0.021023
Training Epoch: 1 [9984/45000]	Loss: 1.5275	LR: 0.021591
Training Epoch: 1 [10240/45000]	Loss: 1.6176	LR: 0.022159
Training Epoch: 1 [10496/45000]	Loss: 1.7414	LR: 0.022727
Training Epoch: 1 [10752/45000]	Loss: 1.8757	LR: 0.023295
Training Epoch: 1 [11008/45000]	Loss: 1.6293	LR: 0.023864
Training Epoch: 1 [11264/45000]	Loss: 1.7866	LR: 0.024432
Training Epoch: 1 [11520/45000]	Loss: 1.6594	LR: 0.025000
Training Epoch: 1 [11776/45000]	Loss: 1.7293	LR: 0.025568
Training Epoch: 1 [12032/45000]	Loss: 1.5916	LR: 0.026136
Training Epoch: 1 [12288/45000]	Loss: 1.7004	LR: 0.026705
Training Epoch: 1 [12544/45000]	Loss: 1.7145	LR: 0.027273
Training Epoch: 1 [12800/45000]	Loss: 1.7644	LR: 0.027841
Training Epoch: 1 [13056/45000]	Loss: 1.5550	LR: 0.028409
Training Epoch: 1 [13312/45000]	Loss: 1.7839	LR: 0.028977
Training Epoch: 1 [13568/45000]	Loss: 1.4548	LR: 0.029545
Training Epoch: 1 [13824/45000]	Loss: 1.5790	LR: 0.030114
Training Epoch: 1 [14080/45000]	Loss: 1.7034	LR: 0.030682
Training Epoch: 1 [14336/45000]	Loss: 1.4031	LR: 0.031250
Training Epoch: 1 [14592/45000]	Loss: 1.7832	LR: 0.031818
Training Epoch: 1 [14848/45000]	Loss: 1.6438	LR: 0.032386
Training Epoch: 1 [15104/45000]	Loss: 1.5893	LR: 0.032955
Training Epoch: 1 [15360/45000]	Loss: 1.4971	LR: 0.033523
Training Epoch: 1 [15616/45000]	Loss: 1.6048	LR: 0.034091
Training Epoch: 1 [15872/45000]	Loss: 1.5844	LR: 0.034659
Training Epoch: 1 [16128/45000]	Loss: 1.6503	LR: 0.035227
Training Epoch: 1 [16384/45000]	Loss: 1.6405	LR: 0.035795
Training Epoch: 1 [16640/45000]	Loss: 1.5795	LR: 0.036364
Training Epoch: 1 [16896/45000]	Loss: 1.6362	LR: 0.036932
Training Epoch: 1 [17152/45000]	Loss: 1.7265	LR: 0.037500
Training Epoch: 1 [17408/45000]	Loss: 1.5265	LR: 0.038068
Training Epoch: 1 [17664/45000]	Loss: 1.7021	LR: 0.038636
Training Epoch: 1 [17920/45000]	Loss: 1.5289	LR: 0.039205
Training Epoch: 1 [18176/45000]	Loss: 1.5811	LR: 0.039773
Training Epoch: 1 [18432/45000]	Loss: 1.7824	LR: 0.040341
Training Epoch: 1 [18688/45000]	Loss: 1.6089	LR: 0.040909
Training Epoch: 1 [18944/45000]	Loss: 1.4906	LR: 0.041477
Training Epoch: 1 [19200/45000]	Loss: 1.6018	LR: 0.042045
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Training Epoch: 1 [19712/45000]	Loss: 1.6609	LR: 0.043182
Training Epoch: 1 [19968/45000]	Loss: 1.5490	LR: 0.043750
Training Epoch: 1 [20224/45000]	Loss: 1.7250	LR: 0.044318
Training Epoch: 1 [20480/45000]	Loss: 1.7060	LR: 0.044886
Training Epoch: 1 [20736/45000]	Loss: 1.6855	LR: 0.045455
Training Epoch: 1 [20992/45000]	Loss: 1.5206	LR: 0.046023
Training Epoch: 1 [21248/45000]	Loss: 1.7393	LR: 0.046591
Training Epoch: 1 [21504/45000]	Loss: 1.5550	LR: 0.047159
Training Epoch: 1 [21760/45000]	Loss: 1.5999	LR: 0.047727
Training Epoch: 1 [22016/45000]	Loss: 1.3651	LR: 0.048295
Training Epoch: 1 [22272/45000]	Loss: 1.6569	LR: 0.048864
Training Epoch: 1 [22528/45000]	Loss: 1.5376	LR: 0.049432
Training Epoch: 1 [22784/45000]	Loss: 1.6383	LR: 0.050000
Training Epoch: 1 [23040/45000]	Loss: 1.3767	LR: 0.050568
Training Epoch: 1 [23296/45000]	Loss: 1.5211	LR: 0.051136
Training Epoch: 1 [23552/45000]	Loss: 1.3897	LR: 0.051705
Training Epoch: 1 [23808/45000]	Loss: 1.4690	LR: 0.052273
Training Epoch: 1 [24064/45000]	Loss: 1.4648	LR: 0.052841
Training Epoch: 1 [24320/45000]	Loss: 1.4746	LR: 0.053409
Training Epoch: 1 [24576/45000]	Loss: 1.5593	LR: 0.053977
Training Epoch: 1 [24832/45000]	Loss: 1.4374	LR: 0.054545
Training Epoch: 1 [25088/45000]	Loss: 1.4318	LR: 0.055114
Training Epoch: 1 [25344/45000]	Loss: 1.6703	LR: 0.055682
Training Epoch: 1 [25600/45000]	Loss: 1.3942	LR: 0.056250
Training Epoch: 1 [25856/45000]	Loss: 1.5143	LR: 0.056818
Training Epoch: 1 [26112/45000]	Loss: 1.5799	LR: 0.057386
Training Epoch: 1 [26368/45000]	Loss: 1.5545	LR: 0.057955
Training Epoch: 1 [26624/45000]	Loss: 1.6128	LR: 0.058523
Training Epoch: 1 [26880/45000]	Loss: 1.5031	LR: 0.059091
Training Epoch: 1 [27136/45000]	Loss: 1.5472	LR: 0.059659
Training Epoch: 1 [27392/45000]	Loss: 1.5362	LR: 0.060227
Training Epoch: 1 [27648/45000]	Loss: 1.4425	LR: 0.060795
Training Epoch: 1 [27904/45000]	Loss: 1.5524	LR: 0.061364
Training Epoch: 1 [28160/45000]	Loss: 1.5502	LR: 0.061932
Training Epoch: 1 [28416/45000]	Loss: 1.6267	LR: 0.062500
Training Epoch: 1 [28672/45000]	Loss: 1.3859	LR: 0.063068
Training Epoch: 1 [28928/45000]	Loss: 1.4135	LR: 0.063636
Training Epoch: 1 [29184/45000]	Loss: 1.4946	LR: 0.064205
Training Epoch: 1 [29440/45000]	Loss: 1.5113	LR: 0.064773
Training Epoch: 1 [29696/45000]	Loss: 1.3251	LR: 0.065341
Training Epoch: 1 [29952/45000]	Loss: 1.3343	LR: 0.065909
Training Epoch: 1 [30208/45000]	Loss: 1.6936	LR: 0.066477
Training Epoch: 1 [30464/45000]	Loss: 1.4688	LR: 0.067045
Training Epoch: 1 [30720/45000]	Loss: 1.5859	LR: 0.067614
Training Epoch: 1 [30976/45000]	Loss: 1.4793	LR: 0.068182
Training Epoch: 1 [31232/45000]	Loss: 1.4645	LR: 0.068750
Training Epoch: 1 [31488/45000]	Loss: 1.3423	LR: 0.069318
Training Epoch: 1 [31744/45000]	Loss: 1.7683	LR: 0.069886
Training Epoch: 1 [32000/45000]	Loss: 1.4728	LR: 0.070455
Training Epoch: 1 [32256/45000]	Loss: 1.4273	LR: 0.071023
Training Epoch: 1 [32512/45000]	Loss: 1.4938	LR: 0.071591
Training Epoch: 1 [32768/45000]	Loss: 1.4267	LR: 0.072159
Training Epoch: 1 [33024/45000]	Loss: 1.5226	LR: 0.072727
Training Epoch: 1 [33280/45000]	Loss: 1.4235	LR: 0.073295
Training Epoch: 1 [33536/45000]	Loss: 1.4493	LR: 0.073864
Training Epoch: 1 [33792/45000]	Loss: 1.3971	LR: 0.074432
Training Epoch: 1 [34048/45000]	Loss: 1.5309	LR: 0.075000
Training Epoch: 1 [34304/45000]	Loss: 1.3998	LR: 0.075568
Training Epoch: 1 [34560/45000]	Loss: 1.4615	LR: 0.076136
Training Epoch: 1 [34816/45000]	Loss: 1.3357	LR: 0.076705
Training Epoch: 1 [35072/45000]	Loss: 1.4088	LR: 0.077273
Training Epoch: 1 [35328/45000]	Loss: 1.3807	LR: 0.077841
Training Epoch: 1 [35584/45000]	Loss: 1.4376	LR: 0.078409
Training Epoch: 1 [35840/45000]	Loss: 1.3065	LR: 0.078977
Training Epoch: 1 [36096/45000]	Loss: 1.3663	LR: 0.079545
Training Epoch: 1 [36352/45000]	Loss: 1.3990	LR: 0.080114
Training Epoch: 1 [36608/45000]	Loss: 1.3755	LR: 0.080682
Training Epoch: 1 [36864/45000]	Loss: 1.2340	LR: 0.081250
Training Epoch: 1 [37120/45000]	Loss: 1.2987	LR: 0.081818
Training Epoch: 1 [37376/45000]	Loss: 1.3873	LR: 0.082386
Training Epoch: 1 [37632/45000]	Loss: 1.2834	LR: 0.082955
Training Epoch: 1 [37888/45000]	Loss: 1.5413	LR: 0.083523
Training Epoch: 1 [38144/45000]	Loss: 1.2987	LR: 0.084091
Training Epoch: 1 [38400/45000]	Loss: 1.3183	LR: 0.084659
Training Epoch: 1 [38656/45000]	Loss: 1.4506	LR: 0.085227
Training Epoch: 1 [38912/45000]	Loss: 1.3804	LR: 0.085795
Training Epoch: 1 [39168/45000]	Loss: 1.2261	LR: 0.086364
Training Epoch: 1 [39424/45000]	Loss: 1.1946	LR: 0.086932
Training Epoch: 1 [39680/45000]	Loss: 1.2968	LR: 0.087500
Training Epoch: 1 [39936/45000]	Loss: 1.2047	LR: 0.088068
Training Epoch: 1 [40192/45000]	Loss: 1.3471	LR: 0.088636
Training Epoch: 1 [40448/45000]	Loss: 1.2673	LR: 0.089205
Training Epoch: 1 [40704/45000]	Loss: 1.1083	LR: 0.089773
Training Epoch: 1 [40960/45000]	Loss: 1.2088	LR: 0.090341
Training Epoch: 1 [41216/45000]	Loss: 1.3097	LR: 0.090909
Training Epoch: 1 [41472/45000]	Loss: 1.3224	LR: 0.091477
Training Epoch: 1 [41728/45000]	Loss: 1.2017	LR: 0.092045
Training Epoch: 1 [41984/45000]	Loss: 1.1507	LR: 0.092614
Training Epoch: 1 [42240/45000]	Loss: 1.3148	LR: 0.093182
Training Epoch: 1 [42496/45000]	Loss: 1.0110	LR: 0.093750
Training Epoch: 1 [42752/45000]	Loss: 1.0224	LR: 0.094318
Training Epoch: 1 [43008/45000]	Loss: 1.2497	LR: 0.094886
Training Epoch: 1 [43264/45000]	Loss: 1.1410	LR: 0.095455
Training Epoch: 1 [43520/45000]	Loss: 1.1622	LR: 0.096023
Training Epoch: 1 [43776/45000]	Loss: 1.1786	LR: 0.096591
Training Epoch: 1 [44032/45000]	Loss: 1.1933	LR: 0.097159
Training Epoch: 1 [44288/45000]	Loss: 1.2213	LR: 0.097727
Training Epoch: 1 [44544/45000]	Loss: 1.1600	LR: 0.098295
Training Epoch: 1 [44800/45000]	Loss: 1.0689	LR: 0.098864
Training Epoch: 1 [45000/45000]	Loss: 1.1082	LR: 0.099432
Epoch 1 - Average Train Loss: 1.5782, Train Accuracy: 0.4261
Epoch 1 training time consumed: 18.08s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0066, Accuracy: 0.4943, Time consumed:1.02s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_01h_08m_05s/ResNet18-Cifar10-seed7-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: 49.736328125
Retain Accuracy: 50.75399398803711
Zero-Retain Forget (ZRF): 0.912713348865509
Membership Inference Attack (MIA): 0.4822
Forget vs Retain Membership Inference Attack (MIA): 0.547
Forget vs Test Membership Inference Attack (MIA): 0.498
Test vs Retain Membership Inference Attack (MIA): 0.56575
Train vs Test Membership Inference Attack (MIA): 0.49025
Forget Set Accuracy (Df): 50.110294342041016
Method Execution Time: 965.31 seconds
