hello
hello
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📌S Retain class distribution for seed 6:
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 6:
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: 2.3423	LR: 0.000000
Training Epoch: 1 [512/45000]	Loss: 2.3455	LR: 0.000568
Training Epoch: 1 [768/45000]	Loss: 2.3482	LR: 0.001136
Training Epoch: 1 [1024/45000]	Loss: 2.3180	LR: 0.001705
Training Epoch: 1 [1280/45000]	Loss: 2.2696	LR: 0.002273
Training Epoch: 1 [1536/45000]	Loss: 2.2432	LR: 0.002841
Training Epoch: 1 [1792/45000]	Loss: 2.2694	LR: 0.003409
Training Epoch: 1 [2048/45000]	Loss: 2.2290	LR: 0.003977
Training Epoch: 1 [2304/45000]	Loss: 2.1654	LR: 0.004545
Training Epoch: 1 [2560/45000]	Loss: 2.2291	LR: 0.005114
Training Epoch: 1 [2816/45000]	Loss: 2.1879	LR: 0.005682
Training Epoch: 1 [3072/45000]	Loss: 2.1875	LR: 0.006250
Training Epoch: 1 [3328/45000]	Loss: 2.0706	LR: 0.006818
Training Epoch: 1 [3584/45000]	Loss: 2.0324	LR: 0.007386
Training Epoch: 1 [3840/45000]	Loss: 1.9805	LR: 0.007955
Training Epoch: 1 [4096/45000]	Loss: 1.9631	LR: 0.008523
Training Epoch: 1 [4352/45000]	Loss: 2.0101	LR: 0.009091
Training Epoch: 1 [4608/45000]	Loss: 1.8338	LR: 0.009659
Training Epoch: 1 [4864/45000]	Loss: 1.8206	LR: 0.010227
Training Epoch: 1 [5120/45000]	Loss: 1.8199	LR: 0.010795
Training Epoch: 1 [5376/45000]	Loss: 1.7509	LR: 0.011364
Training Epoch: 1 [5632/45000]	Loss: 1.8462	LR: 0.011932
Training Epoch: 1 [5888/45000]	Loss: 1.7283	LR: 0.012500
Training Epoch: 1 [6144/45000]	Loss: 1.8073	LR: 0.013068
Training Epoch: 1 [6400/45000]	Loss: 1.7866	LR: 0.013636
Training Epoch: 1 [6656/45000]	Loss: 1.7812	LR: 0.014205
Training Epoch: 1 [6912/45000]	Loss: 1.8257	LR: 0.014773
Training Epoch: 1 [7168/45000]	Loss: 1.6165	LR: 0.015341
Training Epoch: 1 [7424/45000]	Loss: 1.8366	LR: 0.015909
Training Epoch: 1 [7680/45000]	Loss: 1.7883	LR: 0.016477
Training Epoch: 1 [7936/45000]	Loss: 1.6704	LR: 0.017045
Training Epoch: 1 [8192/45000]	Loss: 1.6723	LR: 0.017614
Training Epoch: 1 [8448/45000]	Loss: 1.7549	LR: 0.018182
Training Epoch: 1 [8704/45000]	Loss: 1.6620	LR: 0.018750
Training Epoch: 1 [8960/45000]	Loss: 1.7383	LR: 0.019318
Training Epoch: 1 [9216/45000]	Loss: 1.6021	LR: 0.019886
Training Epoch: 1 [9472/45000]	Loss: 1.7761	LR: 0.020455
Training Epoch: 1 [9728/45000]	Loss: 1.7627	LR: 0.021023
Training Epoch: 1 [9984/45000]	Loss: 1.5866	LR: 0.021591
Training Epoch: 1 [10240/45000]	Loss: 1.7526	LR: 0.022159
Training Epoch: 1 [10496/45000]	Loss: 1.7114	LR: 0.022727
Training Epoch: 1 [10752/45000]	Loss: 1.7699	LR: 0.023295
Training Epoch: 1 [11008/45000]	Loss: 1.6971	LR: 0.023864
Training Epoch: 1 [11264/45000]	Loss: 1.5956	LR: 0.024432
Training Epoch: 1 [11520/45000]	Loss: 1.5988	LR: 0.025000
Training Epoch: 1 [11776/45000]	Loss: 1.6094	LR: 0.025568
Training Epoch: 1 [12032/45000]	Loss: 1.7390	LR: 0.026136
Training Epoch: 1 [12288/45000]	Loss: 1.5529	LR: 0.026705
Training Epoch: 1 [12544/45000]	Loss: 1.6197	LR: 0.027273
Training Epoch: 1 [12800/45000]	Loss: 1.7858	LR: 0.027841
Training Epoch: 1 [13056/45000]	Loss: 1.6429	LR: 0.028409
Training Epoch: 1 [13312/45000]	Loss: 1.6836	LR: 0.028977
Training Epoch: 1 [13568/45000]	Loss: 1.7394	LR: 0.029545
Training Epoch: 1 [13824/45000]	Loss: 1.9117	LR: 0.030114
Training Epoch: 1 [14080/45000]	Loss: 1.5887	LR: 0.030682
Training Epoch: 1 [14336/45000]	Loss: 1.6811	LR: 0.031250
Training Epoch: 1 [14592/45000]	Loss: 1.8268	LR: 0.031818
Training Epoch: 1 [14848/45000]	Loss: 1.7282	LR: 0.032386
Training Epoch: 1 [15104/45000]	Loss: 1.7312	LR: 0.032955
Training Epoch: 1 [15360/45000]	Loss: 1.8283	LR: 0.033523
Training Epoch: 1 [15616/45000]	Loss: 1.6198	LR: 0.034091
Training Epoch: 1 [15872/45000]	Loss: 1.8754	LR: 0.034659
Training Epoch: 1 [16128/45000]	Loss: 1.6707	LR: 0.035227
Training Epoch: 1 [16384/45000]	Loss: 1.5446	LR: 0.035795
Training Epoch: 1 [16640/45000]	Loss: 1.7741	LR: 0.036364
Training Epoch: 1 [16896/45000]	Loss: 1.5748	LR: 0.036932
Training Epoch: 1 [17152/45000]	Loss: 1.5302	LR: 0.037500
Training Epoch: 1 [17408/45000]	Loss: 1.5962	LR: 0.038068
Training Epoch: 1 [17664/45000]	Loss: 1.7471	LR: 0.038636
Training Epoch: 1 [17920/45000]	Loss: 1.4700	LR: 0.039205
Training Epoch: 1 [18176/45000]	Loss: 1.7406	LR: 0.039773
Training Epoch: 1 [18432/45000]	Loss: 1.6340	LR: 0.040341
Training Epoch: 1 [18688/45000]	Loss: 1.5276	LR: 0.040909
Training Epoch: 1 [18944/45000]	Loss: 1.7529	LR: 0.041477
Training Epoch: 1 [19200/45000]	Loss: 1.4994	LR: 0.042045
Training Epoch: 1 [19456/45000]	Loss: 1.6246	LR: 0.042614
Training Epoch: 1 [19712/45000]	Loss: 1.5626	LR: 0.043182
Training Epoch: 1 [19968/45000]	Loss: 1.4128	LR: 0.043750
Training Epoch: 1 [20224/45000]	Loss: 1.6930	LR: 0.044318
Training Epoch: 1 [20480/45000]	Loss: 1.4938	LR: 0.044886
Training Epoch: 1 [20736/45000]	Loss: 1.3359	LR: 0.045455
Training Epoch: 1 [20992/45000]	Loss: 1.4725	LR: 0.046023
Training Epoch: 1 [21248/45000]	Loss: 1.6646	LR: 0.046591
Training Epoch: 1 [21504/45000]	Loss: 1.5833	LR: 0.047159
Training Epoch: 1 [21760/45000]	Loss: 1.6919	LR: 0.047727
Training Epoch: 1 [22016/45000]	Loss: 1.4940	LR: 0.048295
Training Epoch: 1 [22272/45000]	Loss: 1.5998	LR: 0.048864
Training Epoch: 1 [22528/45000]	Loss: 1.5910	LR: 0.049432
Training Epoch: 1 [22784/45000]	Loss: 1.6629	LR: 0.050000
Training Epoch: 1 [23040/45000]	Loss: 1.6186	LR: 0.050568
Training Epoch: 1 [23296/45000]	Loss: 1.5262	LR: 0.051136
Training Epoch: 1 [23552/45000]	Loss: 1.3969	LR: 0.051705
Training Epoch: 1 [23808/45000]	Loss: 1.7770	LR: 0.052273
Training Epoch: 1 [24064/45000]	Loss: 1.4232	LR: 0.052841
Training Epoch: 1 [24320/45000]	Loss: 1.6333	LR: 0.053409
Training Epoch: 1 [24576/45000]	Loss: 1.5032	LR: 0.053977
Training Epoch: 1 [24832/45000]	Loss: 1.4801	LR: 0.054545
Training Epoch: 1 [25088/45000]	Loss: 1.4950	LR: 0.055114
Training Epoch: 1 [25344/45000]	Loss: 1.7922	LR: 0.055682
Training Epoch: 1 [25600/45000]	Loss: 1.4434	LR: 0.056250
Training Epoch: 1 [25856/45000]	Loss: 1.7131	LR: 0.056818
Training Epoch: 1 [26112/45000]	Loss: 1.4705	LR: 0.057386
Training Epoch: 1 [26368/45000]	Loss: 1.5231	LR: 0.057955
Training Epoch: 1 [26624/45000]	Loss: 1.5798	LR: 0.058523
Training Epoch: 1 [26880/45000]	Loss: 1.6585	LR: 0.059091
Training Epoch: 1 [27136/45000]	Loss: 1.6064	LR: 0.059659
Training Epoch: 1 [27392/45000]	Loss: 1.5132	LR: 0.060227
Training Epoch: 1 [27648/45000]	Loss: 1.5894	LR: 0.060795
Training Epoch: 1 [27904/45000]	Loss: 1.4745	LR: 0.061364
Training Epoch: 1 [28160/45000]	Loss: 1.5010	LR: 0.061932
Training Epoch: 1 [28416/45000]	Loss: 1.5273	LR: 0.062500
Training Epoch: 1 [28672/45000]	Loss: 1.3823	LR: 0.063068
Training Epoch: 1 [28928/45000]	Loss: 1.4103	LR: 0.063636
Training Epoch: 1 [29184/45000]	Loss: 1.2883	LR: 0.064205
Training Epoch: 1 [29440/45000]	Loss: 1.3207	LR: 0.064773
Training Epoch: 1 [29696/45000]	Loss: 1.4099	LR: 0.065341
Training Epoch: 1 [29952/45000]	Loss: 1.5339	LR: 0.065909
Training Epoch: 1 [30208/45000]	Loss: 1.3773	LR: 0.066477
Training Epoch: 1 [30464/45000]	Loss: 1.5555	LR: 0.067045
Training Epoch: 1 [30720/45000]	Loss: 1.5038	LR: 0.067614
Training Epoch: 1 [30976/45000]	Loss: 1.3565	LR: 0.068182
Training Epoch: 1 [31232/45000]	Loss: 1.4106	LR: 0.068750
Training Epoch: 1 [31488/45000]	Loss: 1.3124	LR: 0.069318
Training Epoch: 1 [31744/45000]	Loss: 1.3348	LR: 0.069886
Training Epoch: 1 [32000/45000]	Loss: 1.4163	LR: 0.070455
Training Epoch: 1 [32256/45000]	Loss: 1.3026	LR: 0.071023
Training Epoch: 1 [32512/45000]	Loss: 1.2149	LR: 0.071591
Training Epoch: 1 [32768/45000]	Loss: 1.3671	LR: 0.072159
Training Epoch: 1 [33024/45000]	Loss: 1.4082	LR: 0.072727
Training Epoch: 1 [33280/45000]	Loss: 1.2647	LR: 0.073295
Training Epoch: 1 [33536/45000]	Loss: 1.2566	LR: 0.073864
Training Epoch: 1 [33792/45000]	Loss: 1.1333	LR: 0.074432
Training Epoch: 1 [34048/45000]	Loss: 1.1635	LR: 0.075000
Training Epoch: 1 [34304/45000]	Loss: 1.3242	LR: 0.075568
Training Epoch: 1 [34560/45000]	Loss: 1.3165	LR: 0.076136
Training Epoch: 1 [34816/45000]	Loss: 1.2803	LR: 0.076705
Training Epoch: 1 [35072/45000]	Loss: 1.2684	LR: 0.077273
Training Epoch: 1 [35328/45000]	Loss: 1.1688	LR: 0.077841
Training Epoch: 1 [35584/45000]	Loss: 1.2170	LR: 0.078409
Training Epoch: 1 [35840/45000]	Loss: 1.3619	LR: 0.078977
Training Epoch: 1 [36096/45000]	Loss: 1.2802	LR: 0.079545
Training Epoch: 1 [36352/45000]	Loss: 1.2405	LR: 0.080114
Training Epoch: 1 [36608/45000]	Loss: 1.3295	LR: 0.080682
Training Epoch: 1 [36864/45000]	Loss: 1.1695	LR: 0.081250
Training Epoch: 1 [37120/45000]	Loss: 1.3706	LR: 0.081818
Training Epoch: 1 [37376/45000]	Loss: 1.2267	LR: 0.082386
Training Epoch: 1 [37632/45000]	Loss: 1.2733	LR: 0.082955
Training Epoch: 1 [37888/45000]	Loss: 1.2728	LR: 0.083523
Training Epoch: 1 [38144/45000]	Loss: 1.2494	LR: 0.084091
Training Epoch: 1 [38400/45000]	Loss: 1.3132	LR: 0.084659
Training Epoch: 1 [38656/45000]	Loss: 1.3912	LR: 0.085227
Training Epoch: 1 [38912/45000]	Loss: 1.2048	LR: 0.085795
Training Epoch: 1 [39168/45000]	Loss: 1.3149	LR: 0.086364
Training Epoch: 1 [39424/45000]	Loss: 1.4508	LR: 0.086932
Training Epoch: 1 [39680/45000]	Loss: 1.4731	LR: 0.087500
Training Epoch: 1 [39936/45000]	Loss: 1.4259	LR: 0.088068
Training Epoch: 1 [40192/45000]	Loss: 1.4845	LR: 0.088636
Training Epoch: 1 [40448/45000]	Loss: 1.4375	LR: 0.089205
Training Epoch: 1 [40704/45000]	Loss: 1.4248	LR: 0.089773
Training Epoch: 1 [40960/45000]	Loss: 1.3244	LR: 0.090341
Training Epoch: 1 [41216/45000]	Loss: 1.3664	LR: 0.090909
Training Epoch: 1 [41472/45000]	Loss: 1.2030	LR: 0.091477
Training Epoch: 1 [41728/45000]	Loss: 1.2540	LR: 0.092045
Training Epoch: 1 [41984/45000]	Loss: 1.1964	LR: 0.092614
Training Epoch: 1 [42240/45000]	Loss: 1.1205	LR: 0.093182
Training Epoch: 1 [42496/45000]	Loss: 1.1576	LR: 0.093750
Training Epoch: 1 [42752/45000]	Loss: 1.2728	LR: 0.094318
Training Epoch: 1 [43008/45000]	Loss: 1.2859	LR: 0.094886
Training Epoch: 1 [43264/45000]	Loss: 1.1845	LR: 0.095455
Training Epoch: 1 [43520/45000]	Loss: 1.2697	LR: 0.096023
Training Epoch: 1 [43776/45000]	Loss: 1.1425	LR: 0.096591
Training Epoch: 1 [44032/45000]	Loss: 1.1760	LR: 0.097159
Training Epoch: 1 [44288/45000]	Loss: 1.1907	LR: 0.097727
Training Epoch: 1 [44544/45000]	Loss: 1.1927	LR: 0.098295
Training Epoch: 1 [44800/45000]	Loss: 1.1686	LR: 0.098864
Training Epoch: 1 [45000/45000]	Loss: 1.2196	LR: 0.099432
Epoch 1 - Average Train Loss: 1.5735, Train Accuracy: 0.4280
Epoch 1 training time consumed: 18.15s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0071, Accuracy: 0.4732, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_00h_51m_46s/ResNet18-Cifar10-seed6-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: 46.943359375
Retain Accuracy: 48.670631408691406
Zero-Retain Forget (ZRF): 0.9105192422866821
Membership Inference Attack (MIA): 0.4432
Forget vs Retain Membership Inference Attack (MIA): 0.4955
Forget vs Test Membership Inference Attack (MIA): 0.506
Test vs Retain Membership Inference Attack (MIA): 0.57825
Train vs Test Membership Inference Attack (MIA): 0.502
Forget Set Accuracy (Df): 48.68566131591797
Method Execution Time: 960.49 seconds
