hello
hello
Labels

📌S Retain class distribution for seed 9:
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 9:
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

📊 Updated class distribution:
Retain set:
  Class 0: 4875
  Class 1: 4875
  Class 2: 4875
  Class 3: 4875
  Class 4: 4875
  Class 5: 4875
  Class 6: 4875
  Class 7: 4875
  Class 8: 4875
  Class 9: 4875
Forget set:
  Class 0: 125
  Class 1: 125
  Class 2: 125
  Class 3: 125
  Class 4: 125
  Class 5: 125
  Class 6: 125
  Class 7: 125
  Class 8: 125
  Class 9: 125
hello
hello
⚠️ Warning: Retain train loader may not be shuffled.
Training Epoch: 1 [256/48750]	Loss: 2.5696	LR: 0.000000
Training Epoch: 1 [512/48750]	Loss: 2.4875	LR: 0.000524
Training Epoch: 1 [768/48750]	Loss: 2.5154	LR: 0.001047
Training Epoch: 1 [1024/48750]	Loss: 2.4939	LR: 0.001571
Training Epoch: 1 [1280/48750]	Loss: 2.3530	LR: 0.002094
Training Epoch: 1 [1536/48750]	Loss: 2.2521	LR: 0.002618
Training Epoch: 1 [1792/48750]	Loss: 2.2522	LR: 0.003141
Training Epoch: 1 [2048/48750]	Loss: 2.2223	LR: 0.003665
Training Epoch: 1 [2304/48750]	Loss: 2.2470	LR: 0.004188
Training Epoch: 1 [2560/48750]	Loss: 2.2838	LR: 0.004712
Training Epoch: 1 [2816/48750]	Loss: 2.3589	LR: 0.005236
Training Epoch: 1 [3072/48750]	Loss: 2.2402	LR: 0.005759
Training Epoch: 1 [3328/48750]	Loss: 2.1868	LR: 0.006283
Training Epoch: 1 [3584/48750]	Loss: 2.1328	LR: 0.006806
Training Epoch: 1 [3840/48750]	Loss: 1.9505	LR: 0.007330
Training Epoch: 1 [4096/48750]	Loss: 1.8898	LR: 0.007853
Training Epoch: 1 [4352/48750]	Loss: 1.9722	LR: 0.008377
Training Epoch: 1 [4608/48750]	Loss: 1.9445	LR: 0.008901
Training Epoch: 1 [4864/48750]	Loss: 1.9927	LR: 0.009424
Training Epoch: 1 [5120/48750]	Loss: 1.9957	LR: 0.009948
Training Epoch: 1 [5376/48750]	Loss: 1.7969	LR: 0.010471
Training Epoch: 1 [5632/48750]	Loss: 1.8304	LR: 0.010995
Training Epoch: 1 [5888/48750]	Loss: 1.7178	LR: 0.011518
Training Epoch: 1 [6144/48750]	Loss: 1.7341	LR: 0.012042
Training Epoch: 1 [6400/48750]	Loss: 1.6411	LR: 0.012565
Training Epoch: 1 [6656/48750]	Loss: 1.6991	LR: 0.013089
Training Epoch: 1 [6912/48750]	Loss: 1.6517	LR: 0.013613
Training Epoch: 1 [7168/48750]	Loss: 1.6134	LR: 0.014136
Training Epoch: 1 [7424/48750]	Loss: 1.6881	LR: 0.014660
Training Epoch: 1 [7680/48750]	Loss: 1.8328	LR: 0.015183
Training Epoch: 1 [7936/48750]	Loss: 1.6252	LR: 0.015707
Training Epoch: 1 [8192/48750]	Loss: 1.7106	LR: 0.016230
Training Epoch: 1 [8448/48750]	Loss: 1.6350	LR: 0.016754
Training Epoch: 1 [8704/48750]	Loss: 1.6301	LR: 0.017277
Training Epoch: 1 [8960/48750]	Loss: 1.4898	LR: 0.017801
Training Epoch: 1 [9216/48750]	Loss: 1.5775	LR: 0.018325
Training Epoch: 1 [9472/48750]	Loss: 1.5072	LR: 0.018848
Training Epoch: 1 [9728/48750]	Loss: 1.5363	LR: 0.019372
Training Epoch: 1 [9984/48750]	Loss: 1.6165	LR: 0.019895
Training Epoch: 1 [10240/48750]	Loss: 1.5787	LR: 0.020419
Training Epoch: 1 [10496/48750]	Loss: 1.6245	LR: 0.020942
Training Epoch: 1 [10752/48750]	Loss: 1.5686	LR: 0.021466
Training Epoch: 1 [11008/48750]	Loss: 1.6143	LR: 0.021990
Training Epoch: 1 [11264/48750]	Loss: 1.3615	LR: 0.022513
Training Epoch: 1 [11520/48750]	Loss: 1.5522	LR: 0.023037
Training Epoch: 1 [11776/48750]	Loss: 1.5537	LR: 0.023560
Training Epoch: 1 [12032/48750]	Loss: 1.5808	LR: 0.024084
Training Epoch: 1 [12288/48750]	Loss: 1.5946	LR: 0.024607
Training Epoch: 1 [12544/48750]	Loss: 1.6083	LR: 0.025131
Training Epoch: 1 [12800/48750]	Loss: 1.4280	LR: 0.025654
Training Epoch: 1 [13056/48750]	Loss: 1.4967	LR: 0.026178
Training Epoch: 1 [13312/48750]	Loss: 1.5232	LR: 0.026702
Training Epoch: 1 [13568/48750]	Loss: 1.3807	LR: 0.027225
Training Epoch: 1 [13824/48750]	Loss: 1.4508	LR: 0.027749
Training Epoch: 1 [14080/48750]	Loss: 1.5089	LR: 0.028272
Training Epoch: 1 [14336/48750]	Loss: 1.4266	LR: 0.028796
Training Epoch: 1 [14592/48750]	Loss: 1.3539	LR: 0.029319
Training Epoch: 1 [14848/48750]	Loss: 1.4070	LR: 0.029843
Training Epoch: 1 [15104/48750]	Loss: 1.6284	LR: 0.030366
Training Epoch: 1 [15360/48750]	Loss: 1.7037	LR: 0.030890
Training Epoch: 1 [15616/48750]	Loss: 1.7537	LR: 0.031414
Training Epoch: 1 [15872/48750]	Loss: 1.6087	LR: 0.031937
Training Epoch: 1 [16128/48750]	Loss: 1.4844	LR: 0.032461
Training Epoch: 1 [16384/48750]	Loss: 1.6684	LR: 0.032984
Training Epoch: 1 [16640/48750]	Loss: 1.5587	LR: 0.033508
Training Epoch: 1 [16896/48750]	Loss: 1.4856	LR: 0.034031
Training Epoch: 1 [17152/48750]	Loss: 1.5574	LR: 0.034555
Training Epoch: 1 [17408/48750]	Loss: 1.4791	LR: 0.035079
Training Epoch: 1 [17664/48750]	Loss: 1.4839	LR: 0.035602
Training Epoch: 1 [17920/48750]	Loss: 1.5011	LR: 0.036126
Training Epoch: 1 [18176/48750]	Loss: 1.5101	LR: 0.036649
Training Epoch: 1 [18432/48750]	Loss: 1.5841	LR: 0.037173
Training Epoch: 1 [18688/48750]	Loss: 1.4497	LR: 0.037696
Training Epoch: 1 [18944/48750]	Loss: 1.4251	LR: 0.038220
Training Epoch: 1 [19200/48750]	Loss: 1.4566	LR: 0.038743
Training Epoch: 1 [19456/48750]	Loss: 1.6860	LR: 0.039267
Training Epoch: 1 [19712/48750]	Loss: 1.3123	LR: 0.039791
Training Epoch: 1 [19968/48750]	Loss: 1.7828	LR: 0.040314
Training Epoch: 1 [20224/48750]	Loss: 1.3463	LR: 0.040838
Training Epoch: 1 [20480/48750]	Loss: 1.3365	LR: 0.041361
Training Epoch: 1 [20736/48750]	Loss: 1.3970	LR: 0.041885
Training Epoch: 1 [20992/48750]	Loss: 1.4825	LR: 0.042408
Training Epoch: 1 [21248/48750]	Loss: 1.2725	LR: 0.042932
Training Epoch: 1 [21504/48750]	Loss: 1.4447	LR: 0.043455
Training Epoch: 1 [21760/48750]	Loss: 1.3673	LR: 0.043979
Training Epoch: 1 [22016/48750]	Loss: 1.3648	LR: 0.044503
Training Epoch: 1 [22272/48750]	Loss: 1.5161	LR: 0.045026
Training Epoch: 1 [22528/48750]	Loss: 1.3516	LR: 0.045550
Training Epoch: 1 [22784/48750]	Loss: 1.4191	LR: 0.046073
Training Epoch: 1 [23040/48750]	Loss: 1.5360	LR: 0.046597
Training Epoch: 1 [23296/48750]	Loss: 1.3019	LR: 0.047120
Training Epoch: 1 [23552/48750]	Loss: 1.3394	LR: 0.047644
Training Epoch: 1 [23808/48750]	Loss: 1.3242	LR: 0.048168
Training Epoch: 1 [24064/48750]	Loss: 1.2414	LR: 0.048691
Training Epoch: 1 [24320/48750]	Loss: 1.5331	LR: 0.049215
Training Epoch: 1 [24576/48750]	Loss: 1.4892	LR: 0.049738
Training Epoch: 1 [24832/48750]	Loss: 1.3843	LR: 0.050262
Training Epoch: 1 [25088/48750]	Loss: 1.5163	LR: 0.050785
Training Epoch: 1 [25344/48750]	Loss: 1.2881	LR: 0.051309
Training Epoch: 1 [25600/48750]	Loss: 1.3967	LR: 0.051832
Training Epoch: 1 [25856/48750]	Loss: 1.3836	LR: 0.052356
Training Epoch: 1 [26112/48750]	Loss: 1.3722	LR: 0.052880
Training Epoch: 1 [26368/48750]	Loss: 1.3015	LR: 0.053403
Training Epoch: 1 [26624/48750]	Loss: 1.4691	LR: 0.053927
Training Epoch: 1 [26880/48750]	Loss: 1.3975	LR: 0.054450
Training Epoch: 1 [27136/48750]	Loss: 1.4159	LR: 0.054974
Training Epoch: 1 [27392/48750]	Loss: 1.5998	LR: 0.055497
Training Epoch: 1 [27648/48750]	Loss: 1.5435	LR: 0.056021
Training Epoch: 1 [27904/48750]	Loss: 1.3489	LR: 0.056545
Training Epoch: 1 [28160/48750]	Loss: 1.3542	LR: 0.057068
Training Epoch: 1 [28416/48750]	Loss: 1.3560	LR: 0.057592
Training Epoch: 1 [28672/48750]	Loss: 1.2869	LR: 0.058115
Training Epoch: 1 [28928/48750]	Loss: 1.3767	LR: 0.058639
Training Epoch: 1 [29184/48750]	Loss: 1.3641	LR: 0.059162
Training Epoch: 1 [29440/48750]	Loss: 1.2927	LR: 0.059686
Training Epoch: 1 [29696/48750]	Loss: 1.2779	LR: 0.060209
Training Epoch: 1 [29952/48750]	Loss: 1.1450	LR: 0.060733
Training Epoch: 1 [30208/48750]	Loss: 1.3626	LR: 0.061257
Training Epoch: 1 [30464/48750]	Loss: 1.3169	LR: 0.061780
Training Epoch: 1 [30720/48750]	Loss: 1.2545	LR: 0.062304
Training Epoch: 1 [30976/48750]	Loss: 1.4473	LR: 0.062827
Training Epoch: 1 [31232/48750]	Loss: 1.3397	LR: 0.063351
Training Epoch: 1 [31488/48750]	Loss: 1.2682	LR: 0.063874
Training Epoch: 1 [31744/48750]	Loss: 1.4349	LR: 0.064398
Training Epoch: 1 [32000/48750]	Loss: 1.1803	LR: 0.064921
Training Epoch: 1 [32256/48750]	Loss: 1.2618	LR: 0.065445
Training Epoch: 1 [32512/48750]	Loss: 1.1938	LR: 0.065969
Training Epoch: 1 [32768/48750]	Loss: 1.1776	LR: 0.066492
Training Epoch: 1 [33024/48750]	Loss: 1.2029	LR: 0.067016
Training Epoch: 1 [33280/48750]	Loss: 1.0604	LR: 0.067539
Training Epoch: 1 [33536/48750]	Loss: 1.1018	LR: 0.068063
Training Epoch: 1 [33792/48750]	Loss: 1.3256	LR: 0.068586
Training Epoch: 1 [34048/48750]	Loss: 1.1870	LR: 0.069110
Training Epoch: 1 [34304/48750]	Loss: 1.2441	LR: 0.069634
Training Epoch: 1 [34560/48750]	Loss: 1.2424	LR: 0.070157
Training Epoch: 1 [34816/48750]	Loss: 1.1699	LR: 0.070681
Training Epoch: 1 [35072/48750]	Loss: 1.1860	LR: 0.071204
Training Epoch: 1 [35328/48750]	Loss: 1.3039	LR: 0.071728
Training Epoch: 1 [35584/48750]	Loss: 1.3289	LR: 0.072251
Training Epoch: 1 [35840/48750]	Loss: 1.3460	LR: 0.072775
Training Epoch: 1 [36096/48750]	Loss: 1.2355	LR: 0.073298
Training Epoch: 1 [36352/48750]	Loss: 1.3516	LR: 0.073822
Training Epoch: 1 [36608/48750]	Loss: 1.3095	LR: 0.074346
Training Epoch: 1 [36864/48750]	Loss: 1.2320	LR: 0.074869
Training Epoch: 1 [37120/48750]	Loss: 1.3069	LR: 0.075393
Training Epoch: 1 [37376/48750]	Loss: 1.3999	LR: 0.075916
Training Epoch: 1 [37632/48750]	Loss: 1.4079	LR: 0.076440
Training Epoch: 1 [37888/48750]	Loss: 1.1337	LR: 0.076963
Training Epoch: 1 [38144/48750]	Loss: 1.3939	LR: 0.077487
Training Epoch: 1 [38400/48750]	Loss: 1.2014	LR: 0.078010
Training Epoch: 1 [38656/48750]	Loss: 1.2749	LR: 0.078534
Training Epoch: 1 [38912/48750]	Loss: 1.2675	LR: 0.079058
Training Epoch: 1 [39168/48750]	Loss: 1.2130	LR: 0.079581
Training Epoch: 1 [39424/48750]	Loss: 1.1928	LR: 0.080105
Training Epoch: 1 [39680/48750]	Loss: 1.1713	LR: 0.080628
Training Epoch: 1 [39936/48750]	Loss: 1.2994	LR: 0.081152
Training Epoch: 1 [40192/48750]	Loss: 1.2896	LR: 0.081675
Training Epoch: 1 [40448/48750]	Loss: 1.1761	LR: 0.082199
Training Epoch: 1 [40704/48750]	Loss: 1.1994	LR: 0.082723
Training Epoch: 1 [40960/48750]	Loss: 1.3103	LR: 0.083246
Training Epoch: 1 [41216/48750]	Loss: 1.1750	LR: 0.083770
Training Epoch: 1 [41472/48750]	Loss: 1.3801	LR: 0.084293
Training Epoch: 1 [41728/48750]	Loss: 1.1688	LR: 0.084817
Training Epoch: 1 [41984/48750]	Loss: 1.3271	LR: 0.085340
Training Epoch: 1 [42240/48750]	Loss: 1.0639	LR: 0.085864
Training Epoch: 1 [42496/48750]	Loss: 1.3398	LR: 0.086387
Training Epoch: 1 [42752/48750]	Loss: 1.1852	LR: 0.086911
Training Epoch: 1 [43008/48750]	Loss: 1.1588	LR: 0.087435
Training Epoch: 1 [43264/48750]	Loss: 1.1515	LR: 0.087958
Training Epoch: 1 [43520/48750]	Loss: 1.3376	LR: 0.088482
Training Epoch: 1 [43776/48750]	Loss: 1.3157	LR: 0.089005
Training Epoch: 1 [44032/48750]	Loss: 1.3166	LR: 0.089529
Training Epoch: 1 [44288/48750]	Loss: 1.0831	LR: 0.090052
Training Epoch: 1 [44544/48750]	Loss: 1.4254	LR: 0.090576
Training Epoch: 1 [44800/48750]	Loss: 1.1761	LR: 0.091099
Training Epoch: 1 [45056/48750]	Loss: 1.1053	LR: 0.091623
Training Epoch: 1 [45312/48750]	Loss: 1.0724	LR: 0.092147
Training Epoch: 1 [45568/48750]	Loss: 1.2022	LR: 0.092670
Training Epoch: 1 [45824/48750]	Loss: 1.3067	LR: 0.093194
Training Epoch: 1 [46080/48750]	Loss: 1.0457	LR: 0.093717
Training Epoch: 1 [46336/48750]	Loss: 1.1655	LR: 0.094241
Training Epoch: 1 [46592/48750]	Loss: 1.1906	LR: 0.094764
Training Epoch: 1 [46848/48750]	Loss: 0.9274	LR: 0.095288
Training Epoch: 1 [47104/48750]	Loss: 1.2434	LR: 0.095812
Training Epoch: 1 [47360/48750]	Loss: 0.9750	LR: 0.096335
Training Epoch: 1 [47616/48750]	Loss: 0.9711	LR: 0.096859
Training Epoch: 1 [47872/48750]	Loss: 1.0419	LR: 0.097382
Training Epoch: 1 [48128/48750]	Loss: 1.2057	LR: 0.097906
Training Epoch: 1 [48384/48750]	Loss: 1.1181	LR: 0.098429
Training Epoch: 1 [48640/48750]	Loss: 1.0357	LR: 0.098953
Training Epoch: 1 [48750/48750]	Loss: 1.1118	LR: 0.099476
Epoch 1 - Average Train Loss: 1.4679, Train Accuracy: 0.4692
Epoch 1 training time consumed: 19.19s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0059, Accuracy: 0.5360, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_21h_47m_29s/ResNet18-Cifar10-seed9-ret75-1-best.pth
Valid (Test) Dl:  10000
Train Dl:  50000
Retain Train Dl:  48750
Forget Train Dl:  1250
Retain Valid Dl:  48750
Forget Valid Dl:  1250
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 1250 samples
Set1 Distribution: 1250 samples
Set2 Distribution: 1250 samples
Set1 Distribution: 1250 samples
Set2 Distribution: 1250 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Test Accuracy: 53.076171875
Retain Accuracy: 54.23332595825195
Zero-Retain Forget (ZRF): 0.8830008506774902
Membership Inference Attack (MIA): 0.448
Forget vs Retain Membership Inference Attack (MIA): 0.578
Forget vs Test Membership Inference Attack (MIA): 0.47
Test vs Retain Membership Inference Attack (MIA): 0.55775
Train vs Test Membership Inference Attack (MIA): 0.49525
Forget Set Accuracy (Df): 52.80213165283203
Method Execution Time: 913.38 seconds
