hello
hello
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📌S Retain class distribution for seed 8:
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 8:
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
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hello
hello
⚠️ Warning: Retain train loader may not be shuffled.
Training Epoch: 1 [256/45000]	Loss: 2.3833	LR: 0.000000
Training Epoch: 1 [512/45000]	Loss: 2.4455	LR: 0.000568
Training Epoch: 1 [768/45000]	Loss: 2.4181	LR: 0.001136
Training Epoch: 1 [1024/45000]	Loss: 2.3491	LR: 0.001705
Training Epoch: 1 [1280/45000]	Loss: 2.2941	LR: 0.002273
Training Epoch: 1 [1536/45000]	Loss: 2.2474	LR: 0.002841
Training Epoch: 1 [1792/45000]	Loss: 2.2130	LR: 0.003409
Training Epoch: 1 [2048/45000]	Loss: 2.1587	LR: 0.003977
Training Epoch: 1 [2304/45000]	Loss: 2.2025	LR: 0.004545
Training Epoch: 1 [2560/45000]	Loss: 2.2668	LR: 0.005114
Training Epoch: 1 [2816/45000]	Loss: 2.0969	LR: 0.005682
Training Epoch: 1 [3072/45000]	Loss: 2.1293	LR: 0.006250
Training Epoch: 1 [3328/45000]	Loss: 2.0793	LR: 0.006818
Training Epoch: 1 [3584/45000]	Loss: 2.0248	LR: 0.007386
Training Epoch: 1 [3840/45000]	Loss: 2.0010	LR: 0.007955
Training Epoch: 1 [4096/45000]	Loss: 1.9562	LR: 0.008523
Training Epoch: 1 [4352/45000]	Loss: 1.9394	LR: 0.009091
Training Epoch: 1 [4608/45000]	Loss: 1.9181	LR: 0.009659
Training Epoch: 1 [4864/45000]	Loss: 1.9510	LR: 0.010227
Training Epoch: 1 [5120/45000]	Loss: 1.8208	LR: 0.010795
Training Epoch: 1 [5376/45000]	Loss: 1.9507	LR: 0.011364
Training Epoch: 1 [5632/45000]	Loss: 1.7776	LR: 0.011932
Training Epoch: 1 [5888/45000]	Loss: 1.8486	LR: 0.012500
Training Epoch: 1 [6144/45000]	Loss: 1.8328	LR: 0.013068
Training Epoch: 1 [6400/45000]	Loss: 1.7689	LR: 0.013636
Training Epoch: 1 [6656/45000]	Loss: 1.7403	LR: 0.014205
Training Epoch: 1 [6912/45000]	Loss: 1.7859	LR: 0.014773
Training Epoch: 1 [7168/45000]	Loss: 1.6611	LR: 0.015341
Training Epoch: 1 [7424/45000]	Loss: 1.8405	LR: 0.015909
Training Epoch: 1 [7680/45000]	Loss: 1.8483	LR: 0.016477
Training Epoch: 1 [7936/45000]	Loss: 1.7094	LR: 0.017045
Training Epoch: 1 [8192/45000]	Loss: 1.7138	LR: 0.017614
Training Epoch: 1 [8448/45000]	Loss: 1.7192	LR: 0.018182
Training Epoch: 1 [8704/45000]	Loss: 1.8356	LR: 0.018750
Training Epoch: 1 [8960/45000]	Loss: 1.8290	LR: 0.019318
Training Epoch: 1 [9216/45000]	Loss: 1.6040	LR: 0.019886
Training Epoch: 1 [9472/45000]	Loss: 1.6808	LR: 0.020455
Training Epoch: 1 [9728/45000]	Loss: 1.6880	LR: 0.021023
Training Epoch: 1 [9984/45000]	Loss: 1.7802	LR: 0.021591
Training Epoch: 1 [10240/45000]	Loss: 1.7421	LR: 0.022159
Training Epoch: 1 [10496/45000]	Loss: 1.5780	LR: 0.022727
Training Epoch: 1 [10752/45000]	Loss: 1.7047	LR: 0.023295
Training Epoch: 1 [11008/45000]	Loss: 1.6677	LR: 0.023864
Training Epoch: 1 [11264/45000]	Loss: 1.8225	LR: 0.024432
Training Epoch: 1 [11520/45000]	Loss: 1.5332	LR: 0.025000
Training Epoch: 1 [11776/45000]	Loss: 1.6872	LR: 0.025568
Training Epoch: 1 [12032/45000]	Loss: 1.7027	LR: 0.026136
Training Epoch: 1 [12288/45000]	Loss: 1.5704	LR: 0.026705
Training Epoch: 1 [12544/45000]	Loss: 1.7500	LR: 0.027273
Training Epoch: 1 [12800/45000]	Loss: 1.5515	LR: 0.027841
Training Epoch: 1 [13056/45000]	Loss: 1.6449	LR: 0.028409
Training Epoch: 1 [13312/45000]	Loss: 1.7736	LR: 0.028977
Training Epoch: 1 [13568/45000]	Loss: 1.6815	LR: 0.029545
Training Epoch: 1 [13824/45000]	Loss: 1.5711	LR: 0.030114
Training Epoch: 1 [14080/45000]	Loss: 1.5798	LR: 0.030682
Training Epoch: 1 [14336/45000]	Loss: 1.5612	LR: 0.031250
Training Epoch: 1 [14592/45000]	Loss: 1.6033	LR: 0.031818
Training Epoch: 1 [14848/45000]	Loss: 1.6587	LR: 0.032386
Training Epoch: 1 [15104/45000]	Loss: 1.6222	LR: 0.032955
Training Epoch: 1 [15360/45000]	Loss: 1.6887	LR: 0.033523
Training Epoch: 1 [15616/45000]	Loss: 1.5424	LR: 0.034091
Training Epoch: 1 [15872/45000]	Loss: 1.5842	LR: 0.034659
Training Epoch: 1 [16128/45000]	Loss: 1.4992	LR: 0.035227
Training Epoch: 1 [16384/45000]	Loss: 1.4709	LR: 0.035795
Training Epoch: 1 [16640/45000]	Loss: 1.4702	LR: 0.036364
Training Epoch: 1 [16896/45000]	Loss: 1.5116	LR: 0.036932
Training Epoch: 1 [17152/45000]	Loss: 1.5869	LR: 0.037500
Training Epoch: 1 [17408/45000]	Loss: 1.4933	LR: 0.038068
Training Epoch: 1 [17664/45000]	Loss: 1.5872	LR: 0.038636
Training Epoch: 1 [17920/45000]	Loss: 1.5927	LR: 0.039205
Training Epoch: 1 [18176/45000]	Loss: 1.3822	LR: 0.039773
Training Epoch: 1 [18432/45000]	Loss: 1.5990	LR: 0.040341
Training Epoch: 1 [18688/45000]	Loss: 1.5137	LR: 0.040909
Training Epoch: 1 [18944/45000]	Loss: 1.5385	LR: 0.041477
Training Epoch: 1 [19200/45000]	Loss: 1.6650	LR: 0.042045
Training Epoch: 1 [19456/45000]	Loss: 1.6244	LR: 0.042614
Training Epoch: 1 [19712/45000]	Loss: 1.5760	LR: 0.043182
Training Epoch: 1 [19968/45000]	Loss: 1.5744	LR: 0.043750
Training Epoch: 1 [20224/45000]	Loss: 1.6145	LR: 0.044318
Training Epoch: 1 [20480/45000]	Loss: 1.7190	LR: 0.044886
Training Epoch: 1 [20736/45000]	Loss: 1.5612	LR: 0.045455
Training Epoch: 1 [20992/45000]	Loss: 1.6111	LR: 0.046023
Training Epoch: 1 [21248/45000]	Loss: 1.5815	LR: 0.046591
Training Epoch: 1 [21504/45000]	Loss: 1.6462	LR: 0.047159
Training Epoch: 1 [21760/45000]	Loss: 1.6701	LR: 0.047727
Training Epoch: 1 [22016/45000]	Loss: 1.4795	LR: 0.048295
Training Epoch: 1 [22272/45000]	Loss: 1.8147	LR: 0.048864
Training Epoch: 1 [22528/45000]	Loss: 1.5726	LR: 0.049432
Training Epoch: 1 [22784/45000]	Loss: 1.3901	LR: 0.050000
Training Epoch: 1 [23040/45000]	Loss: 1.5560	LR: 0.050568
Training Epoch: 1 [23296/45000]	Loss: 1.4049	LR: 0.051136
Training Epoch: 1 [23552/45000]	Loss: 1.6238	LR: 0.051705
Training Epoch: 1 [23808/45000]	Loss: 1.4115	LR: 0.052273
Training Epoch: 1 [24064/45000]	Loss: 1.5028	LR: 0.052841
Training Epoch: 1 [24320/45000]	Loss: 1.6446	LR: 0.053409
Training Epoch: 1 [24576/45000]	Loss: 1.3715	LR: 0.053977
Training Epoch: 1 [24832/45000]	Loss: 1.6661	LR: 0.054545
Training Epoch: 1 [25088/45000]	Loss: 1.5682	LR: 0.055114
Training Epoch: 1 [25344/45000]	Loss: 1.5493	LR: 0.055682
Training Epoch: 1 [25600/45000]	Loss: 1.5582	LR: 0.056250
Training Epoch: 1 [25856/45000]	Loss: 1.4243	LR: 0.056818
Training Epoch: 1 [26112/45000]	Loss: 1.4075	LR: 0.057386
Training Epoch: 1 [26368/45000]	Loss: 1.4503	LR: 0.057955
Training Epoch: 1 [26624/45000]	Loss: 1.4996	LR: 0.058523
Training Epoch: 1 [26880/45000]	Loss: 1.5555	LR: 0.059091
Training Epoch: 1 [27136/45000]	Loss: 1.3898	LR: 0.059659
Training Epoch: 1 [27392/45000]	Loss: 1.5348	LR: 0.060227
Training Epoch: 1 [27648/45000]	Loss: 1.4624	LR: 0.060795
Training Epoch: 1 [27904/45000]	Loss: 1.4451	LR: 0.061364
Training Epoch: 1 [28160/45000]	Loss: 1.5107	LR: 0.061932
Training Epoch: 1 [28416/45000]	Loss: 1.3931	LR: 0.062500
Training Epoch: 1 [28672/45000]	Loss: 1.4310	LR: 0.063068
Training Epoch: 1 [28928/45000]	Loss: 1.5315	LR: 0.063636
Training Epoch: 1 [29184/45000]	Loss: 1.4528	LR: 0.064205
Training Epoch: 1 [29440/45000]	Loss: 1.4905	LR: 0.064773
Training Epoch: 1 [29696/45000]	Loss: 1.4416	LR: 0.065341
Training Epoch: 1 [29952/45000]	Loss: 1.2841	LR: 0.065909
Training Epoch: 1 [30208/45000]	Loss: 1.3389	LR: 0.066477
Training Epoch: 1 [30464/45000]	Loss: 1.4210	LR: 0.067045
Training Epoch: 1 [30720/45000]	Loss: 1.3620	LR: 0.067614
Training Epoch: 1 [30976/45000]	Loss: 1.3123	LR: 0.068182
Training Epoch: 1 [31232/45000]	Loss: 1.4317	LR: 0.068750
Training Epoch: 1 [31488/45000]	Loss: 1.2210	LR: 0.069318
Training Epoch: 1 [31744/45000]	Loss: 1.3726	LR: 0.069886
Training Epoch: 1 [32000/45000]	Loss: 1.5208	LR: 0.070455
Training Epoch: 1 [32256/45000]	Loss: 1.2643	LR: 0.071023
Training Epoch: 1 [32512/45000]	Loss: 1.3040	LR: 0.071591
Training Epoch: 1 [32768/45000]	Loss: 1.4014	LR: 0.072159
Training Epoch: 1 [33024/45000]	Loss: 1.2882	LR: 0.072727
Training Epoch: 1 [33280/45000]	Loss: 1.2611	LR: 0.073295
Training Epoch: 1 [33536/45000]	Loss: 1.2485	LR: 0.073864
Training Epoch: 1 [33792/45000]	Loss: 1.4359	LR: 0.074432
Training Epoch: 1 [34048/45000]	Loss: 1.3672	LR: 0.075000
Training Epoch: 1 [34304/45000]	Loss: 1.1270	LR: 0.075568
Training Epoch: 1 [34560/45000]	Loss: 1.3772	LR: 0.076136
Training Epoch: 1 [34816/45000]	Loss: 1.4706	LR: 0.076705
Training Epoch: 1 [35072/45000]	Loss: 1.4788	LR: 0.077273
Training Epoch: 1 [35328/45000]	Loss: 1.4173	LR: 0.077841
Training Epoch: 1 [35584/45000]	Loss: 1.4035	LR: 0.078409
Training Epoch: 1 [35840/45000]	Loss: 1.3086	LR: 0.078977
Training Epoch: 1 [36096/45000]	Loss: 1.3109	LR: 0.079545
Training Epoch: 1 [36352/45000]	Loss: 1.2373	LR: 0.080114
Training Epoch: 1 [36608/45000]	Loss: 1.2878	LR: 0.080682
Training Epoch: 1 [36864/45000]	Loss: 1.3188	LR: 0.081250
Training Epoch: 1 [37120/45000]	Loss: 1.4777	LR: 0.081818
Training Epoch: 1 [37376/45000]	Loss: 1.2576	LR: 0.082386
Training Epoch: 1 [37632/45000]	Loss: 1.4804	LR: 0.082955
Training Epoch: 1 [37888/45000]	Loss: 1.3956	LR: 0.083523
Training Epoch: 1 [38144/45000]	Loss: 1.2752	LR: 0.084091
Training Epoch: 1 [38400/45000]	Loss: 1.4920	LR: 0.084659
Training Epoch: 1 [38656/45000]	Loss: 1.4124	LR: 0.085227
Training Epoch: 1 [38912/45000]	Loss: 1.3854	LR: 0.085795
Training Epoch: 1 [39168/45000]	Loss: 1.2644	LR: 0.086364
Training Epoch: 1 [39424/45000]	Loss: 1.2158	LR: 0.086932
Training Epoch: 1 [39680/45000]	Loss: 1.2332	LR: 0.087500
Training Epoch: 1 [39936/45000]	Loss: 1.2679	LR: 0.088068
Training Epoch: 1 [40192/45000]	Loss: 1.2837	LR: 0.088636
Training Epoch: 1 [40448/45000]	Loss: 1.3888	LR: 0.089205
Training Epoch: 1 [40704/45000]	Loss: 1.2525	LR: 0.089773
Training Epoch: 1 [40960/45000]	Loss: 1.3733	LR: 0.090341
Training Epoch: 1 [41216/45000]	Loss: 1.4849	LR: 0.090909
Training Epoch: 1 [41472/45000]	Loss: 1.3537	LR: 0.091477
Training Epoch: 1 [41728/45000]	Loss: 1.3260	LR: 0.092045
Training Epoch: 1 [41984/45000]	Loss: 1.2295	LR: 0.092614
Training Epoch: 1 [42240/45000]	Loss: 1.1850	LR: 0.093182
Training Epoch: 1 [42496/45000]	Loss: 1.4152	LR: 0.093750
Training Epoch: 1 [42752/45000]	Loss: 1.3394	LR: 0.094318
Training Epoch: 1 [43008/45000]	Loss: 1.3354	LR: 0.094886
Training Epoch: 1 [43264/45000]	Loss: 1.2063	LR: 0.095455
Training Epoch: 1 [43520/45000]	Loss: 1.3241	LR: 0.096023
Training Epoch: 1 [43776/45000]	Loss: 1.3291	LR: 0.096591
Training Epoch: 1 [44032/45000]	Loss: 1.1118	LR: 0.097159
Training Epoch: 1 [44288/45000]	Loss: 1.1567	LR: 0.097727
Training Epoch: 1 [44544/45000]	Loss: 1.3195	LR: 0.098295
Training Epoch: 1 [44800/45000]	Loss: 1.2106	LR: 0.098864
Training Epoch: 1 [45000/45000]	Loss: 1.0907	LR: 0.099432
Epoch 1 - Average Train Loss: 1.5711, Train Accuracy: 0.4300
Epoch 1 training time consumed: 18.01s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0077, Accuracy: 0.4190, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_01h_24m_30s/ResNet18-Cifar10-seed8-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: 41.650390625
Retain Accuracy: 42.59809875488281
Zero-Retain Forget (ZRF): 0.9257300496101379
Membership Inference Attack (MIA): 0.3844
Forget vs Retain Membership Inference Attack (MIA): 0.5415
Forget vs Test Membership Inference Attack (MIA): 0.511
Test vs Retain Membership Inference Attack (MIA): 0.59825
Train vs Test Membership Inference Attack (MIA): 0.49475
Forget Set Accuracy (Df): 40.719207763671875
Method Execution Time: 951.47 seconds
