hello
hello
Labels

📌S Retain class distribution for seed 3:
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 3:
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: 2.3480	LR: 0.000000
Training Epoch: 1 [512/45000]	Loss: 2.3743	LR: 0.000568
Training Epoch: 1 [768/45000]	Loss: 2.3690	LR: 0.001136
Training Epoch: 1 [1024/45000]	Loss: 2.2991	LR: 0.001705
Training Epoch: 1 [1280/45000]	Loss: 2.3037	LR: 0.002273
Training Epoch: 1 [1536/45000]	Loss: 2.2313	LR: 0.002841
Training Epoch: 1 [1792/45000]	Loss: 2.2501	LR: 0.003409
Training Epoch: 1 [2048/45000]	Loss: 2.1863	LR: 0.003977
Training Epoch: 1 [2304/45000]	Loss: 2.2175	LR: 0.004545
Training Epoch: 1 [2560/45000]	Loss: 2.1815	LR: 0.005114
Training Epoch: 1 [2816/45000]	Loss: 2.0902	LR: 0.005682
Training Epoch: 1 [3072/45000]	Loss: 2.0636	LR: 0.006250
Training Epoch: 1 [3328/45000]	Loss: 2.1420	LR: 0.006818
Training Epoch: 1 [3584/45000]	Loss: 2.0206	LR: 0.007386
Training Epoch: 1 [3840/45000]	Loss: 2.0131	LR: 0.007955
Training Epoch: 1 [4096/45000]	Loss: 1.9155	LR: 0.008523
Training Epoch: 1 [4352/45000]	Loss: 1.9277	LR: 0.009091
Training Epoch: 1 [4608/45000]	Loss: 1.9714	LR: 0.009659
Training Epoch: 1 [4864/45000]	Loss: 1.9436	LR: 0.010227
Training Epoch: 1 [5120/45000]	Loss: 1.8345	LR: 0.010795
Training Epoch: 1 [5376/45000]	Loss: 1.9187	LR: 0.011364
Training Epoch: 1 [5632/45000]	Loss: 1.7756	LR: 0.011932
Training Epoch: 1 [5888/45000]	Loss: 1.8651	LR: 0.012500
Training Epoch: 1 [6144/45000]	Loss: 1.8100	LR: 0.013068
Training Epoch: 1 [6400/45000]	Loss: 1.7491	LR: 0.013636
Training Epoch: 1 [6656/45000]	Loss: 1.7142	LR: 0.014205
Training Epoch: 1 [6912/45000]	Loss: 1.6871	LR: 0.014773
Training Epoch: 1 [7168/45000]	Loss: 1.7641	LR: 0.015341
Training Epoch: 1 [7424/45000]	Loss: 1.6799	LR: 0.015909
Training Epoch: 1 [7680/45000]	Loss: 1.7483	LR: 0.016477
Training Epoch: 1 [7936/45000]	Loss: 1.6984	LR: 0.017045
Training Epoch: 1 [8192/45000]	Loss: 1.6568	LR: 0.017614
Training Epoch: 1 [8448/45000]	Loss: 1.8752	LR: 0.018182
Training Epoch: 1 [8704/45000]	Loss: 1.7841	LR: 0.018750
Training Epoch: 1 [8960/45000]	Loss: 1.8716	LR: 0.019318
Training Epoch: 1 [9216/45000]	Loss: 1.7542	LR: 0.019886
Training Epoch: 1 [9472/45000]	Loss: 1.9177	LR: 0.020455
Training Epoch: 1 [9728/45000]	Loss: 1.9182	LR: 0.021023
Training Epoch: 1 [9984/45000]	Loss: 1.7740	LR: 0.021591
Training Epoch: 1 [10240/45000]	Loss: 1.7803	LR: 0.022159
Training Epoch: 1 [10496/45000]	Loss: 1.6240	LR: 0.022727
Training Epoch: 1 [10752/45000]	Loss: 1.5486	LR: 0.023295
Training Epoch: 1 [11008/45000]	Loss: 1.5897	LR: 0.023864
Training Epoch: 1 [11264/45000]	Loss: 1.6252	LR: 0.024432
Training Epoch: 1 [11520/45000]	Loss: 1.6216	LR: 0.025000
Training Epoch: 1 [11776/45000]	Loss: 1.8014	LR: 0.025568
Training Epoch: 1 [12032/45000]	Loss: 1.8006	LR: 0.026136
Training Epoch: 1 [12288/45000]	Loss: 1.4929	LR: 0.026705
Training Epoch: 1 [12544/45000]	Loss: 1.5865	LR: 0.027273
Training Epoch: 1 [12800/45000]	Loss: 1.7373	LR: 0.027841
Training Epoch: 1 [13056/45000]	Loss: 1.6651	LR: 0.028409
Training Epoch: 1 [13312/45000]	Loss: 1.4294	LR: 0.028977
Training Epoch: 1 [13568/45000]	Loss: 1.6598	LR: 0.029545
Training Epoch: 1 [13824/45000]	Loss: 1.6193	LR: 0.030114
Training Epoch: 1 [14080/45000]	Loss: 1.8691	LR: 0.030682
Training Epoch: 1 [14336/45000]	Loss: 1.5231	LR: 0.031250
Training Epoch: 1 [14592/45000]	Loss: 1.7436	LR: 0.031818
Training Epoch: 1 [14848/45000]	Loss: 1.6039	LR: 0.032386
Training Epoch: 1 [15104/45000]	Loss: 1.4782	LR: 0.032955
Training Epoch: 1 [15360/45000]	Loss: 1.5450	LR: 0.033523
Training Epoch: 1 [15616/45000]	Loss: 1.5456	LR: 0.034091
Training Epoch: 1 [15872/45000]	Loss: 1.5306	LR: 0.034659
Training Epoch: 1 [16128/45000]	Loss: 1.5533	LR: 0.035227
Training Epoch: 1 [16384/45000]	Loss: 1.6253	LR: 0.035795
Training Epoch: 1 [16640/45000]	Loss: 1.5994	LR: 0.036364
Training Epoch: 1 [16896/45000]	Loss: 1.5707	LR: 0.036932
Training Epoch: 1 [17152/45000]	Loss: 1.7049	LR: 0.037500
Training Epoch: 1 [17408/45000]	Loss: 1.4515	LR: 0.038068
Training Epoch: 1 [17664/45000]	Loss: 1.4309	LR: 0.038636
Training Epoch: 1 [17920/45000]	Loss: 1.6897	LR: 0.039205
Training Epoch: 1 [18176/45000]	Loss: 1.6034	LR: 0.039773
Training Epoch: 1 [18432/45000]	Loss: 1.6052	LR: 0.040341
Training Epoch: 1 [18688/45000]	Loss: 1.5232	LR: 0.040909
Training Epoch: 1 [18944/45000]	Loss: 1.6627	LR: 0.041477
Training Epoch: 1 [19200/45000]	Loss: 1.5286	LR: 0.042045
Training Epoch: 1 [19456/45000]	Loss: 1.5195	LR: 0.042614
Training Epoch: 1 [19712/45000]	Loss: 1.6871	LR: 0.043182
Training Epoch: 1 [19968/45000]	Loss: 1.5748	LR: 0.043750
Training Epoch: 1 [20224/45000]	Loss: 1.7307	LR: 0.044318
Training Epoch: 1 [20480/45000]	Loss: 1.6626	LR: 0.044886
Training Epoch: 1 [20736/45000]	Loss: 1.5765	LR: 0.045455
Training Epoch: 1 [20992/45000]	Loss: 1.7359	LR: 0.046023
Training Epoch: 1 [21248/45000]	Loss: 1.5687	LR: 0.046591
Training Epoch: 1 [21504/45000]	Loss: 1.5241	LR: 0.047159
Training Epoch: 1 [21760/45000]	Loss: 1.6189	LR: 0.047727
Training Epoch: 1 [22016/45000]	Loss: 1.4592	LR: 0.048295
Training Epoch: 1 [22272/45000]	Loss: 1.4418	LR: 0.048864
Training Epoch: 1 [22528/45000]	Loss: 1.4794	LR: 0.049432
Training Epoch: 1 [22784/45000]	Loss: 1.4029	LR: 0.050000
Training Epoch: 1 [23040/45000]	Loss: 1.4757	LR: 0.050568
Training Epoch: 1 [23296/45000]	Loss: 1.5488	LR: 0.051136
Training Epoch: 1 [23552/45000]	Loss: 1.6022	LR: 0.051705
Training Epoch: 1 [23808/45000]	Loss: 1.4328	LR: 0.052273
Training Epoch: 1 [24064/45000]	Loss: 1.6193	LR: 0.052841
Training Epoch: 1 [24320/45000]	Loss: 1.4326	LR: 0.053409
Training Epoch: 1 [24576/45000]	Loss: 1.4482	LR: 0.053977
Training Epoch: 1 [24832/45000]	Loss: 1.4998	LR: 0.054545
Training Epoch: 1 [25088/45000]	Loss: 1.3988	LR: 0.055114
Training Epoch: 1 [25344/45000]	Loss: 1.4979	LR: 0.055682
Training Epoch: 1 [25600/45000]	Loss: 1.4064	LR: 0.056250
Training Epoch: 1 [25856/45000]	Loss: 1.4467	LR: 0.056818
Training Epoch: 1 [26112/45000]	Loss: 1.3580	LR: 0.057386
Training Epoch: 1 [26368/45000]	Loss: 1.4841	LR: 0.057955
Training Epoch: 1 [26624/45000]	Loss: 1.4368	LR: 0.058523
Training Epoch: 1 [26880/45000]	Loss: 1.5643	LR: 0.059091
Training Epoch: 1 [27136/45000]	Loss: 1.3531	LR: 0.059659
Training Epoch: 1 [27392/45000]	Loss: 1.4199	LR: 0.060227
Training Epoch: 1 [27648/45000]	Loss: 1.4003	LR: 0.060795
Training Epoch: 1 [27904/45000]	Loss: 1.4669	LR: 0.061364
Training Epoch: 1 [28160/45000]	Loss: 1.4005	LR: 0.061932
Training Epoch: 1 [28416/45000]	Loss: 1.5367	LR: 0.062500
Training Epoch: 1 [28672/45000]	Loss: 1.4122	LR: 0.063068
Training Epoch: 1 [28928/45000]	Loss: 1.6172	LR: 0.063636
Training Epoch: 1 [29184/45000]	Loss: 1.4743	LR: 0.064205
Training Epoch: 1 [29440/45000]	Loss: 1.3988	LR: 0.064773
Training Epoch: 1 [29696/45000]	Loss: 1.3223	LR: 0.065341
Training Epoch: 1 [29952/45000]	Loss: 1.5911	LR: 0.065909
Training Epoch: 1 [30208/45000]	Loss: 1.5263	LR: 0.066477
Training Epoch: 1 [30464/45000]	Loss: 1.2491	LR: 0.067045
Training Epoch: 1 [30720/45000]	Loss: 1.3792	LR: 0.067614
Training Epoch: 1 [30976/45000]	Loss: 1.4378	LR: 0.068182
Training Epoch: 1 [31232/45000]	Loss: 1.1557	LR: 0.068750
Training Epoch: 1 [31488/45000]	Loss: 1.2959	LR: 0.069318
Training Epoch: 1 [31744/45000]	Loss: 1.3985	LR: 0.069886
Training Epoch: 1 [32000/45000]	Loss: 1.2614	LR: 0.070455
Training Epoch: 1 [32256/45000]	Loss: 1.3591	LR: 0.071023
Training Epoch: 1 [32512/45000]	Loss: 1.5485	LR: 0.071591
Training Epoch: 1 [32768/45000]	Loss: 1.1789	LR: 0.072159
Training Epoch: 1 [33024/45000]	Loss: 1.5378	LR: 0.072727
Training Epoch: 1 [33280/45000]	Loss: 1.3477	LR: 0.073295
Training Epoch: 1 [33536/45000]	Loss: 1.3624	LR: 0.073864
Training Epoch: 1 [33792/45000]	Loss: 1.4733	LR: 0.074432
Training Epoch: 1 [34048/45000]	Loss: 1.3199	LR: 0.075000
Training Epoch: 1 [34304/45000]	Loss: 1.3857	LR: 0.075568
Training Epoch: 1 [34560/45000]	Loss: 1.2184	LR: 0.076136
Training Epoch: 1 [34816/45000]	Loss: 1.2041	LR: 0.076705
Training Epoch: 1 [35072/45000]	Loss: 1.2896	LR: 0.077273
Training Epoch: 1 [35328/45000]	Loss: 1.2768	LR: 0.077841
Training Epoch: 1 [35584/45000]	Loss: 1.3601	LR: 0.078409
Training Epoch: 1 [35840/45000]	Loss: 1.1835	LR: 0.078977
Training Epoch: 1 [36096/45000]	Loss: 1.4950	LR: 0.079545
Training Epoch: 1 [36352/45000]	Loss: 1.3423	LR: 0.080114
Training Epoch: 1 [36608/45000]	Loss: 1.1113	LR: 0.080682
Training Epoch: 1 [36864/45000]	Loss: 1.2760	LR: 0.081250
Training Epoch: 1 [37120/45000]	Loss: 1.1890	LR: 0.081818
Training Epoch: 1 [37376/45000]	Loss: 1.2648	LR: 0.082386
Training Epoch: 1 [37632/45000]	Loss: 1.3290	LR: 0.082955
Training Epoch: 1 [37888/45000]	Loss: 1.4485	LR: 0.083523
Training Epoch: 1 [38144/45000]	Loss: 1.2315	LR: 0.084091
Training Epoch: 1 [38400/45000]	Loss: 1.1942	LR: 0.084659
Training Epoch: 1 [38656/45000]	Loss: 1.4136	LR: 0.085227
Training Epoch: 1 [38912/45000]	Loss: 1.1426	LR: 0.085795
Training Epoch: 1 [39168/45000]	Loss: 1.3655	LR: 0.086364
Training Epoch: 1 [39424/45000]	Loss: 1.3189	LR: 0.086932
Training Epoch: 1 [39680/45000]	Loss: 1.1726	LR: 0.087500
Training Epoch: 1 [39936/45000]	Loss: 1.3346	LR: 0.088068
Training Epoch: 1 [40192/45000]	Loss: 1.4301	LR: 0.088636
Training Epoch: 1 [40448/45000]	Loss: 1.4142	LR: 0.089205
Training Epoch: 1 [40704/45000]	Loss: 1.1997	LR: 0.089773
Training Epoch: 1 [40960/45000]	Loss: 1.3890	LR: 0.090341
Training Epoch: 1 [41216/45000]	Loss: 1.2830	LR: 0.090909
Training Epoch: 1 [41472/45000]	Loss: 1.1386	LR: 0.091477
Training Epoch: 1 [41728/45000]	Loss: 1.4095	LR: 0.092045
Training Epoch: 1 [41984/45000]	Loss: 1.4014	LR: 0.092614
Training Epoch: 1 [42240/45000]	Loss: 1.0980	LR: 0.093182
Training Epoch: 1 [42496/45000]	Loss: 1.5611	LR: 0.093750
Training Epoch: 1 [42752/45000]	Loss: 1.2705	LR: 0.094318
Training Epoch: 1 [43008/45000]	Loss: 1.2804	LR: 0.094886
Training Epoch: 1 [43264/45000]	Loss: 1.5398	LR: 0.095455
Training Epoch: 1 [43520/45000]	Loss: 1.2481	LR: 0.096023
Training Epoch: 1 [43776/45000]	Loss: 1.8401	LR: 0.096591
Training Epoch: 1 [44032/45000]	Loss: 1.3413	LR: 0.097159
Training Epoch: 1 [44288/45000]	Loss: 1.3251	LR: 0.097727
Training Epoch: 1 [44544/45000]	Loss: 1.2572	LR: 0.098295
Training Epoch: 1 [44800/45000]	Loss: 1.4615	LR: 0.098864
Training Epoch: 1 [45000/45000]	Loss: 1.1982	LR: 0.099432
Epoch 1 - Average Train Loss: 1.5693, Train Accuracy: 0.4305
Epoch 1 training time consumed: 18.05s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0091, Accuracy: 0.3800, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_00h_03m_13s/ResNet18-Cifar10-seed3-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: 37.6953125
Retain Accuracy: 38.93119812011719
Zero-Retain Forget (ZRF): 0.914969801902771
Membership Inference Attack (MIA): 0.4784
Forget vs Retain Membership Inference Attack (MIA): 0.5445
Forget vs Test Membership Inference Attack (MIA): 0.4995
Test vs Retain Membership Inference Attack (MIA): 0.53075
Train vs Test Membership Inference Attack (MIA): 0.5035
Forget Set Accuracy (Df): 39.287681579589844
Method Execution Time: 947.03 seconds
