hello
hello
Labels

📌S Retain class distribution for seed 10:
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 10:
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: 2.3650	LR: 0.000000
Training Epoch: 1 [512/45000]	Loss: 2.3843	LR: 0.000568
Training Epoch: 1 [768/45000]	Loss: 2.3345	LR: 0.001136
Training Epoch: 1 [1024/45000]	Loss: 2.3240	LR: 0.001705
Training Epoch: 1 [1280/45000]	Loss: 2.3131	LR: 0.002273
Training Epoch: 1 [1536/45000]	Loss: 2.3034	LR: 0.002841
Training Epoch: 1 [1792/45000]	Loss: 2.2178	LR: 0.003409
Training Epoch: 1 [2048/45000]	Loss: 2.2460	LR: 0.003977
Training Epoch: 1 [2304/45000]	Loss: 2.2304	LR: 0.004545
Training Epoch: 1 [2560/45000]	Loss: 2.1836	LR: 0.005114
Training Epoch: 1 [2816/45000]	Loss: 2.2005	LR: 0.005682
Training Epoch: 1 [3072/45000]	Loss: 2.1103	LR: 0.006250
Training Epoch: 1 [3328/45000]	Loss: 2.2259	LR: 0.006818
Training Epoch: 1 [3584/45000]	Loss: 2.1502	LR: 0.007386
Training Epoch: 1 [3840/45000]	Loss: 2.0154	LR: 0.007955
Training Epoch: 1 [4096/45000]	Loss: 2.1145	LR: 0.008523
Training Epoch: 1 [4352/45000]	Loss: 1.9708	LR: 0.009091
Training Epoch: 1 [4608/45000]	Loss: 1.8804	LR: 0.009659
Training Epoch: 1 [4864/45000]	Loss: 1.9093	LR: 0.010227
Training Epoch: 1 [5120/45000]	Loss: 1.9422	LR: 0.010795
Training Epoch: 1 [5376/45000]	Loss: 1.8674	LR: 0.011364
Training Epoch: 1 [5632/45000]	Loss: 1.8745	LR: 0.011932
Training Epoch: 1 [5888/45000]	Loss: 1.8720	LR: 0.012500
Training Epoch: 1 [6144/45000]	Loss: 1.8827	LR: 0.013068
Training Epoch: 1 [6400/45000]	Loss: 1.6870	LR: 0.013636
Training Epoch: 1 [6656/45000]	Loss: 1.8047	LR: 0.014205
Training Epoch: 1 [6912/45000]	Loss: 1.8300	LR: 0.014773
Training Epoch: 1 [7168/45000]	Loss: 1.6783	LR: 0.015341
Training Epoch: 1 [7424/45000]	Loss: 1.7919	LR: 0.015909
Training Epoch: 1 [7680/45000]	Loss: 1.7468	LR: 0.016477
Training Epoch: 1 [7936/45000]	Loss: 1.6184	LR: 0.017045
Training Epoch: 1 [8192/45000]	Loss: 1.7341	LR: 0.017614
Training Epoch: 1 [8448/45000]	Loss: 1.6870	LR: 0.018182
Training Epoch: 1 [8704/45000]	Loss: 1.8231	LR: 0.018750
Training Epoch: 1 [8960/45000]	Loss: 1.7513	LR: 0.019318
Training Epoch: 1 [9216/45000]	Loss: 1.6430	LR: 0.019886
Training Epoch: 1 [9472/45000]	Loss: 1.8076	LR: 0.020455
Training Epoch: 1 [9728/45000]	Loss: 1.5898	LR: 0.021023
Training Epoch: 1 [9984/45000]	Loss: 1.8251	LR: 0.021591
Training Epoch: 1 [10240/45000]	Loss: 1.7289	LR: 0.022159
Training Epoch: 1 [10496/45000]	Loss: 1.5907	LR: 0.022727
Training Epoch: 1 [10752/45000]	Loss: 1.7990	LR: 0.023295
Training Epoch: 1 [11008/45000]	Loss: 1.7849	LR: 0.023864
Training Epoch: 1 [11264/45000]	Loss: 1.6392	LR: 0.024432
Training Epoch: 1 [11520/45000]	Loss: 1.6901	LR: 0.025000
Training Epoch: 1 [11776/45000]	Loss: 1.6414	LR: 0.025568
Training Epoch: 1 [12032/45000]	Loss: 1.6441	LR: 0.026136
Training Epoch: 1 [12288/45000]	Loss: 1.7511	LR: 0.026705
Training Epoch: 1 [12544/45000]	Loss: 1.7197	LR: 0.027273
Training Epoch: 1 [12800/45000]	Loss: 1.5783	LR: 0.027841
Training Epoch: 1 [13056/45000]	Loss: 1.4573	LR: 0.028409
Training Epoch: 1 [13312/45000]	Loss: 1.5795	LR: 0.028977
Training Epoch: 1 [13568/45000]	Loss: 1.5186	LR: 0.029545
Training Epoch: 1 [13824/45000]	Loss: 1.5051	LR: 0.030114
Training Epoch: 1 [14080/45000]	Loss: 1.5917	LR: 0.030682
Training Epoch: 1 [14336/45000]	Loss: 1.5305	LR: 0.031250
Training Epoch: 1 [14592/45000]	Loss: 1.6072	LR: 0.031818
Training Epoch: 1 [14848/45000]	Loss: 1.4761	LR: 0.032386
Training Epoch: 1 [15104/45000]	Loss: 1.5073	LR: 0.032955
Training Epoch: 1 [15360/45000]	Loss: 1.5996	LR: 0.033523
Training Epoch: 1 [15616/45000]	Loss: 1.8005	LR: 0.034091
Training Epoch: 1 [15872/45000]	Loss: 1.6079	LR: 0.034659
Training Epoch: 1 [16128/45000]	Loss: 1.5093	LR: 0.035227
Training Epoch: 1 [16384/45000]	Loss: 1.8080	LR: 0.035795
Training Epoch: 1 [16640/45000]	Loss: 1.5670	LR: 0.036364
Training Epoch: 1 [16896/45000]	Loss: 1.4845	LR: 0.036932
Training Epoch: 1 [17152/45000]	Loss: 1.5474	LR: 0.037500
Training Epoch: 1 [17408/45000]	Loss: 1.4969	LR: 0.038068
Training Epoch: 1 [17664/45000]	Loss: 1.6392	LR: 0.038636
Training Epoch: 1 [17920/45000]	Loss: 1.6147	LR: 0.039205
Training Epoch: 1 [18176/45000]	Loss: 1.5294	LR: 0.039773
Training Epoch: 1 [18432/45000]	Loss: 1.5741	LR: 0.040341
Training Epoch: 1 [18688/45000]	Loss: 1.5355	LR: 0.040909
Training Epoch: 1 [18944/45000]	Loss: 1.5592	LR: 0.041477
Training Epoch: 1 [19200/45000]	Loss: 1.5966	LR: 0.042045
Training Epoch: 1 [19456/45000]	Loss: 1.5007	LR: 0.042614
Training Epoch: 1 [19712/45000]	Loss: 1.4034	LR: 0.043182
Training Epoch: 1 [19968/45000]	Loss: 1.5994	LR: 0.043750
Training Epoch: 1 [20224/45000]	Loss: 1.5321	LR: 0.044318
Training Epoch: 1 [20480/45000]	Loss: 1.4169	LR: 0.044886
Training Epoch: 1 [20736/45000]	Loss: 1.4180	LR: 0.045455
Training Epoch: 1 [20992/45000]	Loss: 1.5145	LR: 0.046023
Training Epoch: 1 [21248/45000]	Loss: 1.5397	LR: 0.046591
Training Epoch: 1 [21504/45000]	Loss: 1.6092	LR: 0.047159
Training Epoch: 1 [21760/45000]	Loss: 1.3935	LR: 0.047727
Training Epoch: 1 [22016/45000]	Loss: 1.5604	LR: 0.048295
Training Epoch: 1 [22272/45000]	Loss: 1.3431	LR: 0.048864
Training Epoch: 1 [22528/45000]	Loss: 1.2977	LR: 0.049432
Training Epoch: 1 [22784/45000]	Loss: 1.6829	LR: 0.050000
Training Epoch: 1 [23040/45000]	Loss: 1.4267	LR: 0.050568
Training Epoch: 1 [23296/45000]	Loss: 1.5341	LR: 0.051136
Training Epoch: 1 [23552/45000]	Loss: 1.6499	LR: 0.051705
Training Epoch: 1 [23808/45000]	Loss: 1.3037	LR: 0.052273
Training Epoch: 1 [24064/45000]	Loss: 1.5560	LR: 0.052841
Training Epoch: 1 [24320/45000]	Loss: 1.5364	LR: 0.053409
Training Epoch: 1 [24576/45000]	Loss: 1.4312	LR: 0.053977
Training Epoch: 1 [24832/45000]	Loss: 1.3339	LR: 0.054545
Training Epoch: 1 [25088/45000]	Loss: 1.3915	LR: 0.055114
Training Epoch: 1 [25344/45000]	Loss: 1.3721	LR: 0.055682
Training Epoch: 1 [25600/45000]	Loss: 1.3539	LR: 0.056250
Training Epoch: 1 [25856/45000]	Loss: 1.2965	LR: 0.056818
Training Epoch: 1 [26112/45000]	Loss: 1.2777	LR: 0.057386
Training Epoch: 1 [26368/45000]	Loss: 1.4136	LR: 0.057955
Training Epoch: 1 [26624/45000]	Loss: 1.5377	LR: 0.058523
Training Epoch: 1 [26880/45000]	Loss: 1.4520	LR: 0.059091
Training Epoch: 1 [27136/45000]	Loss: 1.4770	LR: 0.059659
Training Epoch: 1 [27392/45000]	Loss: 1.6666	LR: 0.060227
Training Epoch: 1 [27648/45000]	Loss: 1.3250	LR: 0.060795
Training Epoch: 1 [27904/45000]	Loss: 1.4753	LR: 0.061364
Training Epoch: 1 [28160/45000]	Loss: 1.3052	LR: 0.061932
Training Epoch: 1 [28416/45000]	Loss: 1.3956	LR: 0.062500
Training Epoch: 1 [28672/45000]	Loss: 1.3652	LR: 0.063068
Training Epoch: 1 [28928/45000]	Loss: 1.3628	LR: 0.063636
Training Epoch: 1 [29184/45000]	Loss: 1.3848	LR: 0.064205
Training Epoch: 1 [29440/45000]	Loss: 1.4396	LR: 0.064773
Training Epoch: 1 [29696/45000]	Loss: 1.4915	LR: 0.065341
Training Epoch: 1 [29952/45000]	Loss: 1.3666	LR: 0.065909
Training Epoch: 1 [30208/45000]	Loss: 1.3112	LR: 0.066477
Training Epoch: 1 [30464/45000]	Loss: 1.6131	LR: 0.067045
Training Epoch: 1 [30720/45000]	Loss: 1.2886	LR: 0.067614
Training Epoch: 1 [30976/45000]	Loss: 1.6803	LR: 0.068182
Training Epoch: 1 [31232/45000]	Loss: 1.4977	LR: 0.068750
Training Epoch: 1 [31488/45000]	Loss: 1.5707	LR: 0.069318
Training Epoch: 1 [31744/45000]	Loss: 1.4832	LR: 0.069886
Training Epoch: 1 [32000/45000]	Loss: 1.5429	LR: 0.070455
Training Epoch: 1 [32256/45000]	Loss: 1.5041	LR: 0.071023
Training Epoch: 1 [32512/45000]	Loss: 1.4201	LR: 0.071591
Training Epoch: 1 [32768/45000]	Loss: 1.5934	LR: 0.072159
Training Epoch: 1 [33024/45000]	Loss: 1.5821	LR: 0.072727
Training Epoch: 1 [33280/45000]	Loss: 1.3938	LR: 0.073295
Training Epoch: 1 [33536/45000]	Loss: 1.6379	LR: 0.073864
Training Epoch: 1 [33792/45000]	Loss: 1.3871	LR: 0.074432
Training Epoch: 1 [34048/45000]	Loss: 1.5428	LR: 0.075000
Training Epoch: 1 [34304/45000]	Loss: 1.3933	LR: 0.075568
Training Epoch: 1 [34560/45000]	Loss: 1.2678	LR: 0.076136
Training Epoch: 1 [34816/45000]	Loss: 1.3177	LR: 0.076705
Training Epoch: 1 [35072/45000]	Loss: 1.4552	LR: 0.077273
Training Epoch: 1 [35328/45000]	Loss: 1.4220	LR: 0.077841
Training Epoch: 1 [35584/45000]	Loss: 1.3066	LR: 0.078409
Training Epoch: 1 [35840/45000]	Loss: 1.3924	LR: 0.078977
Training Epoch: 1 [36096/45000]	Loss: 1.3951	LR: 0.079545
Training Epoch: 1 [36352/45000]	Loss: 1.5307	LR: 0.080114
Training Epoch: 1 [36608/45000]	Loss: 1.4121	LR: 0.080682
Training Epoch: 1 [36864/45000]	Loss: 1.3809	LR: 0.081250
Training Epoch: 1 [37120/45000]	Loss: 1.2824	LR: 0.081818
Training Epoch: 1 [37376/45000]	Loss: 1.5225	LR: 0.082386
Training Epoch: 1 [37632/45000]	Loss: 1.1848	LR: 0.082955
Training Epoch: 1 [37888/45000]	Loss: 1.3012	LR: 0.083523
Training Epoch: 1 [38144/45000]	Loss: 1.2871	LR: 0.084091
Training Epoch: 1 [38400/45000]	Loss: 1.2150	LR: 0.084659
Training Epoch: 1 [38656/45000]	Loss: 1.3618	LR: 0.085227
Training Epoch: 1 [38912/45000]	Loss: 1.1373	LR: 0.085795
Training Epoch: 1 [39168/45000]	Loss: 1.3982	LR: 0.086364
Training Epoch: 1 [39424/45000]	Loss: 1.3487	LR: 0.086932
Training Epoch: 1 [39680/45000]	Loss: 1.4417	LR: 0.087500
Training Epoch: 1 [39936/45000]	Loss: 1.2195	LR: 0.088068
Training Epoch: 1 [40192/45000]	Loss: 1.1284	LR: 0.088636
Training Epoch: 1 [40448/45000]	Loss: 1.1247	LR: 0.089205
Training Epoch: 1 [40704/45000]	Loss: 1.1405	LR: 0.089773
Training Epoch: 1 [40960/45000]	Loss: 1.2193	LR: 0.090341
Training Epoch: 1 [41216/45000]	Loss: 1.3182	LR: 0.090909
Training Epoch: 1 [41472/45000]	Loss: 1.1709	LR: 0.091477
Training Epoch: 1 [41728/45000]	Loss: 1.1730	LR: 0.092045
Training Epoch: 1 [41984/45000]	Loss: 1.2195	LR: 0.092614
Training Epoch: 1 [42240/45000]	Loss: 1.2350	LR: 0.093182
Training Epoch: 1 [42496/45000]	Loss: 1.1357	LR: 0.093750
Training Epoch: 1 [42752/45000]	Loss: 1.2782	LR: 0.094318
Training Epoch: 1 [43008/45000]	Loss: 1.3331	LR: 0.094886
Training Epoch: 1 [43264/45000]	Loss: 1.2124	LR: 0.095455
Training Epoch: 1 [43520/45000]	Loss: 1.3283	LR: 0.096023
Training Epoch: 1 [43776/45000]	Loss: 1.4294	LR: 0.096591
Training Epoch: 1 [44032/45000]	Loss: 1.0693	LR: 0.097159
Training Epoch: 1 [44288/45000]	Loss: 1.1581	LR: 0.097727
Training Epoch: 1 [44544/45000]	Loss: 1.3072	LR: 0.098295
Training Epoch: 1 [44800/45000]	Loss: 1.1696	LR: 0.098864
Training Epoch: 1 [45000/45000]	Loss: 1.1337	LR: 0.099432
Epoch 1 - Average Train Loss: 1.5618, Train Accuracy: 0.4345
Epoch 1 training time consumed: 18.20s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0051, Accuracy: 0.5634, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_01h_56m_59s/ResNet18-Cifar10-seed10-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: 56.337890625
Retain Accuracy: 56.945491790771484
Zero-Retain Forget (ZRF): 0.930025041103363
Membership Inference Attack (MIA): 0.3984
Forget vs Retain Membership Inference Attack (MIA): 0.535
Forget vs Test Membership Inference Attack (MIA): 0.4975
Test vs Retain Membership Inference Attack (MIA): 0.5855
Train vs Test Membership Inference Attack (MIA): 0.487
Forget Set Accuracy (Df): 55.86052322387695
Method Execution Time: 966.62 seconds
