hello
hello
Labels

📌S Retain class distribution for seed 2:
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 2:
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: 2.4862	LR: 0.000000
Training Epoch: 1 [512/45000]	Loss: 2.4622	LR: 0.000568
Training Epoch: 1 [768/45000]	Loss: 2.4126	LR: 0.001136
Training Epoch: 1 [1024/45000]	Loss: 2.4028	LR: 0.001705
Training Epoch: 1 [1280/45000]	Loss: 2.3374	LR: 0.002273
Training Epoch: 1 [1536/45000]	Loss: 2.2817	LR: 0.002841
Training Epoch: 1 [1792/45000]	Loss: 2.2149	LR: 0.003409
Training Epoch: 1 [2048/45000]	Loss: 2.2264	LR: 0.003977
Training Epoch: 1 [2304/45000]	Loss: 2.2904	LR: 0.004545
Training Epoch: 1 [2560/45000]	Loss: 2.3215	LR: 0.005114
Training Epoch: 1 [2816/45000]	Loss: 2.2351	LR: 0.005682
Training Epoch: 1 [3072/45000]	Loss: 2.1724	LR: 0.006250
Training Epoch: 1 [3328/45000]	Loss: 2.0993	LR: 0.006818
Training Epoch: 1 [3584/45000]	Loss: 2.0231	LR: 0.007386
Training Epoch: 1 [3840/45000]	Loss: 1.9561	LR: 0.007955
Training Epoch: 1 [4096/45000]	Loss: 2.0082	LR: 0.008523
Training Epoch: 1 [4352/45000]	Loss: 1.8113	LR: 0.009091
Training Epoch: 1 [4608/45000]	Loss: 1.9196	LR: 0.009659
Training Epoch: 1 [4864/45000]	Loss: 1.7609	LR: 0.010227
Training Epoch: 1 [5120/45000]	Loss: 1.8852	LR: 0.010795
Training Epoch: 1 [5376/45000]	Loss: 1.8551	LR: 0.011364
Training Epoch: 1 [5632/45000]	Loss: 1.8750	LR: 0.011932
Training Epoch: 1 [5888/45000]	Loss: 1.7633	LR: 0.012500
Training Epoch: 1 [6144/45000]	Loss: 1.6974	LR: 0.013068
Training Epoch: 1 [6400/45000]	Loss: 1.7540	LR: 0.013636
Training Epoch: 1 [6656/45000]	Loss: 1.8047	LR: 0.014205
Training Epoch: 1 [6912/45000]	Loss: 1.7102	LR: 0.014773
Training Epoch: 1 [7168/45000]	Loss: 1.6957	LR: 0.015341
Training Epoch: 1 [7424/45000]	Loss: 1.6835	LR: 0.015909
Training Epoch: 1 [7680/45000]	Loss: 1.7627	LR: 0.016477
Training Epoch: 1 [7936/45000]	Loss: 1.6370	LR: 0.017045
Training Epoch: 1 [8192/45000]	Loss: 1.7186	LR: 0.017614
Training Epoch: 1 [8448/45000]	Loss: 1.7708	LR: 0.018182
Training Epoch: 1 [8704/45000]	Loss: 1.7214	LR: 0.018750
Training Epoch: 1 [8960/45000]	Loss: 1.6619	LR: 0.019318
Training Epoch: 1 [9216/45000]	Loss: 1.7151	LR: 0.019886
Training Epoch: 1 [9472/45000]	Loss: 1.6666	LR: 0.020455
Training Epoch: 1 [9728/45000]	Loss: 1.7636	LR: 0.021023
Training Epoch: 1 [9984/45000]	Loss: 1.7171	LR: 0.021591
Training Epoch: 1 [10240/45000]	Loss: 1.5377	LR: 0.022159
Training Epoch: 1 [10496/45000]	Loss: 1.7339	LR: 0.022727
Training Epoch: 1 [10752/45000]	Loss: 1.5675	LR: 0.023295
Training Epoch: 1 [11008/45000]	Loss: 1.6937	LR: 0.023864
Training Epoch: 1 [11264/45000]	Loss: 1.5537	LR: 0.024432
Training Epoch: 1 [11520/45000]	Loss: 1.6087	LR: 0.025000
Training Epoch: 1 [11776/45000]	Loss: 1.7891	LR: 0.025568
Training Epoch: 1 [12032/45000]	Loss: 1.5445	LR: 0.026136
Training Epoch: 1 [12288/45000]	Loss: 1.6978	LR: 0.026705
Training Epoch: 1 [12544/45000]	Loss: 1.6503	LR: 0.027273
Training Epoch: 1 [12800/45000]	Loss: 1.6455	LR: 0.027841
Training Epoch: 1 [13056/45000]	Loss: 1.6008	LR: 0.028409
Training Epoch: 1 [13312/45000]	Loss: 1.6873	LR: 0.028977
Training Epoch: 1 [13568/45000]	Loss: 1.6889	LR: 0.029545
Training Epoch: 1 [13824/45000]	Loss: 1.5577	LR: 0.030114
Training Epoch: 1 [14080/45000]	Loss: 1.7094	LR: 0.030682
Training Epoch: 1 [14336/45000]	Loss: 1.6288	LR: 0.031250
Training Epoch: 1 [14592/45000]	Loss: 1.6573	LR: 0.031818
Training Epoch: 1 [14848/45000]	Loss: 1.8190	LR: 0.032386
Training Epoch: 1 [15104/45000]	Loss: 1.6267	LR: 0.032955
Training Epoch: 1 [15360/45000]	Loss: 1.6412	LR: 0.033523
Training Epoch: 1 [15616/45000]	Loss: 1.5946	LR: 0.034091
Training Epoch: 1 [15872/45000]	Loss: 1.5353	LR: 0.034659
Training Epoch: 1 [16128/45000]	Loss: 1.5211	LR: 0.035227
Training Epoch: 1 [16384/45000]	Loss: 1.5310	LR: 0.035795
Training Epoch: 1 [16640/45000]	Loss: 1.4138	LR: 0.036364
Training Epoch: 1 [16896/45000]	Loss: 1.4675	LR: 0.036932
Training Epoch: 1 [17152/45000]	Loss: 1.3878	LR: 0.037500
Training Epoch: 1 [17408/45000]	Loss: 1.7765	LR: 0.038068
Training Epoch: 1 [17664/45000]	Loss: 1.6028	LR: 0.038636
Training Epoch: 1 [17920/45000]	Loss: 1.5268	LR: 0.039205
Training Epoch: 1 [18176/45000]	Loss: 1.6153	LR: 0.039773
Training Epoch: 1 [18432/45000]	Loss: 1.6316	LR: 0.040341
Training Epoch: 1 [18688/45000]	Loss: 1.4706	LR: 0.040909
Training Epoch: 1 [18944/45000]	Loss: 1.4822	LR: 0.041477
Training Epoch: 1 [19200/45000]	Loss: 1.4810	LR: 0.042045
Training Epoch: 1 [19456/45000]	Loss: 1.4083	LR: 0.042614
Training Epoch: 1 [19712/45000]	Loss: 1.4086	LR: 0.043182
Training Epoch: 1 [19968/45000]	Loss: 1.5612	LR: 0.043750
Training Epoch: 1 [20224/45000]	Loss: 1.4343	LR: 0.044318
Training Epoch: 1 [20480/45000]	Loss: 1.4871	LR: 0.044886
Training Epoch: 1 [20736/45000]	Loss: 1.4251	LR: 0.045455
Training Epoch: 1 [20992/45000]	Loss: 1.4424	LR: 0.046023
Training Epoch: 1 [21248/45000]	Loss: 1.4542	LR: 0.046591
Training Epoch: 1 [21504/45000]	Loss: 1.5642	LR: 0.047159
Training Epoch: 1 [21760/45000]	Loss: 1.6070	LR: 0.047727
Training Epoch: 1 [22016/45000]	Loss: 1.5688	LR: 0.048295
Training Epoch: 1 [22272/45000]	Loss: 1.4897	LR: 0.048864
Training Epoch: 1 [22528/45000]	Loss: 1.4890	LR: 0.049432
Training Epoch: 1 [22784/45000]	Loss: 1.3970	LR: 0.050000
Training Epoch: 1 [23040/45000]	Loss: 1.4751	LR: 0.050568
Training Epoch: 1 [23296/45000]	Loss: 1.5227	LR: 0.051136
Training Epoch: 1 [23552/45000]	Loss: 1.3296	LR: 0.051705
Training Epoch: 1 [23808/45000]	Loss: 1.5376	LR: 0.052273
Training Epoch: 1 [24064/45000]	Loss: 1.4302	LR: 0.052841
Training Epoch: 1 [24320/45000]	Loss: 1.6443	LR: 0.053409
Training Epoch: 1 [24576/45000]	Loss: 1.5965	LR: 0.053977
Training Epoch: 1 [24832/45000]	Loss: 1.3794	LR: 0.054545
Training Epoch: 1 [25088/45000]	Loss: 1.6730	LR: 0.055114
Training Epoch: 1 [25344/45000]	Loss: 1.3977	LR: 0.055682
Training Epoch: 1 [25600/45000]	Loss: 1.6731	LR: 0.056250
Training Epoch: 1 [25856/45000]	Loss: 1.4250	LR: 0.056818
Training Epoch: 1 [26112/45000]	Loss: 1.4663	LR: 0.057386
Training Epoch: 1 [26368/45000]	Loss: 1.2811	LR: 0.057955
Training Epoch: 1 [26624/45000]	Loss: 1.5678	LR: 0.058523
Training Epoch: 1 [26880/45000]	Loss: 1.5612	LR: 0.059091
Training Epoch: 1 [27136/45000]	Loss: 1.4992	LR: 0.059659
Training Epoch: 1 [27392/45000]	Loss: 1.5880	LR: 0.060227
Training Epoch: 1 [27648/45000]	Loss: 1.6577	LR: 0.060795
Training Epoch: 1 [27904/45000]	Loss: 1.6391	LR: 0.061364
Training Epoch: 1 [28160/45000]	Loss: 1.6417	LR: 0.061932
Training Epoch: 1 [28416/45000]	Loss: 1.4808	LR: 0.062500
Training Epoch: 1 [28672/45000]	Loss: 1.4476	LR: 0.063068
Training Epoch: 1 [28928/45000]	Loss: 1.8185	LR: 0.063636
Training Epoch: 1 [29184/45000]	Loss: 1.5138	LR: 0.064205
Training Epoch: 1 [29440/45000]	Loss: 1.6221	LR: 0.064773
Training Epoch: 1 [29696/45000]	Loss: 1.8600	LR: 0.065341
Training Epoch: 1 [29952/45000]	Loss: 1.7122	LR: 0.065909
Training Epoch: 1 [30208/45000]	Loss: 1.9010	LR: 0.066477
Training Epoch: 1 [30464/45000]	Loss: 1.6129	LR: 0.067045
Training Epoch: 1 [30720/45000]	Loss: 1.7426	LR: 0.067614
Training Epoch: 1 [30976/45000]	Loss: 1.7085	LR: 0.068182
Training Epoch: 1 [31232/45000]	Loss: 1.4456	LR: 0.068750
Training Epoch: 1 [31488/45000]	Loss: 1.4343	LR: 0.069318
Training Epoch: 1 [31744/45000]	Loss: 1.4720	LR: 0.069886
Training Epoch: 1 [32000/45000]	Loss: 1.5128	LR: 0.070455
Training Epoch: 1 [32256/45000]	Loss: 1.5474	LR: 0.071023
Training Epoch: 1 [32512/45000]	Loss: 1.4168	LR: 0.071591
Training Epoch: 1 [32768/45000]	Loss: 1.6659	LR: 0.072159
Training Epoch: 1 [33024/45000]	Loss: 1.4727	LR: 0.072727
Training Epoch: 1 [33280/45000]	Loss: 1.4917	LR: 0.073295
Training Epoch: 1 [33536/45000]	Loss: 1.5395	LR: 0.073864
Training Epoch: 1 [33792/45000]	Loss: 1.5239	LR: 0.074432
Training Epoch: 1 [34048/45000]	Loss: 1.2473	LR: 0.075000
Training Epoch: 1 [34304/45000]	Loss: 1.3784	LR: 0.075568
Training Epoch: 1 [34560/45000]	Loss: 1.2180	LR: 0.076136
Training Epoch: 1 [34816/45000]	Loss: 1.2252	LR: 0.076705
Training Epoch: 1 [35072/45000]	Loss: 1.3348	LR: 0.077273
Training Epoch: 1 [35328/45000]	Loss: 1.3664	LR: 0.077841
Training Epoch: 1 [35584/45000]	Loss: 1.2456	LR: 0.078409
Training Epoch: 1 [35840/45000]	Loss: 1.2336	LR: 0.078977
Training Epoch: 1 [36096/45000]	Loss: 1.1867	LR: 0.079545
Training Epoch: 1 [36352/45000]	Loss: 1.2543	LR: 0.080114
Training Epoch: 1 [36608/45000]	Loss: 1.2241	LR: 0.080682
Training Epoch: 1 [36864/45000]	Loss: 1.3370	LR: 0.081250
Training Epoch: 1 [37120/45000]	Loss: 1.1973	LR: 0.081818
Training Epoch: 1 [37376/45000]	Loss: 1.2991	LR: 0.082386
Training Epoch: 1 [37632/45000]	Loss: 1.3228	LR: 0.082955
Training Epoch: 1 [37888/45000]	Loss: 1.2873	LR: 0.083523
Training Epoch: 1 [38144/45000]	Loss: 1.1997	LR: 0.084091
Training Epoch: 1 [38400/45000]	Loss: 1.3923	LR: 0.084659
Training Epoch: 1 [38656/45000]	Loss: 1.1151	LR: 0.085227
Training Epoch: 1 [38912/45000]	Loss: 1.2163	LR: 0.085795
Training Epoch: 1 [39168/45000]	Loss: 1.2543	LR: 0.086364
Training Epoch: 1 [39424/45000]	Loss: 1.2544	LR: 0.086932
Training Epoch: 1 [39680/45000]	Loss: 1.3294	LR: 0.087500
Training Epoch: 1 [39936/45000]	Loss: 1.2039	LR: 0.088068
Training Epoch: 1 [40192/45000]	Loss: 1.3490	LR: 0.088636
Training Epoch: 1 [40448/45000]	Loss: 1.1167	LR: 0.089205
Training Epoch: 1 [40704/45000]	Loss: 1.1891	LR: 0.089773
Training Epoch: 1 [40960/45000]	Loss: 1.2311	LR: 0.090341
Training Epoch: 1 [41216/45000]	Loss: 1.0863	LR: 0.090909
Training Epoch: 1 [41472/45000]	Loss: 1.1447	LR: 0.091477
Training Epoch: 1 [41728/45000]	Loss: 1.0211	LR: 0.092045
Training Epoch: 1 [41984/45000]	Loss: 1.1827	LR: 0.092614
Training Epoch: 1 [42240/45000]	Loss: 1.1424	LR: 0.093182
Training Epoch: 1 [42496/45000]	Loss: 1.2161	LR: 0.093750
Training Epoch: 1 [42752/45000]	Loss: 1.1921	LR: 0.094318
Training Epoch: 1 [43008/45000]	Loss: 1.1846	LR: 0.094886
Training Epoch: 1 [43264/45000]	Loss: 1.3879	LR: 0.095455
Training Epoch: 1 [43520/45000]	Loss: 1.1967	LR: 0.096023
Training Epoch: 1 [43776/45000]	Loss: 1.3361	LR: 0.096591
Training Epoch: 1 [44032/45000]	Loss: 1.0938	LR: 0.097159
Training Epoch: 1 [44288/45000]	Loss: 1.3096	LR: 0.097727
Training Epoch: 1 [44544/45000]	Loss: 1.2602	LR: 0.098295
Training Epoch: 1 [44800/45000]	Loss: 1.1655	LR: 0.098864
Training Epoch: 1 [45000/45000]	Loss: 1.0796	LR: 0.099432
Epoch 1 - Average Train Loss: 1.5678, Train Accuracy: 0.4372
Epoch 1 training time consumed: 18.12s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0080, Accuracy: 0.4338, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Friday_01_August_2025_23h_47m_00s/ResNet18-Cifar10-seed2-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: 43.2421875
Retain Accuracy: 43.7191047668457
Zero-Retain Forget (ZRF): 0.8958510160446167
Membership Inference Attack (MIA): 0.4322
Forget vs Retain Membership Inference Attack (MIA): 0.497
Forget vs Test Membership Inference Attack (MIA): 0.5045
Test vs Retain Membership Inference Attack (MIA): 0.58675
Train vs Test Membership Inference Attack (MIA): 0.50225
Forget Set Accuracy (Df): 43.05491638183594
Method Execution Time: 955.32 seconds
