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

📊 Updated class distribution:
Retain set:
  Class 0: 4625
  Class 1: 4625
  Class 2: 4625
  Class 3: 4625
  Class 4: 4625
  Class 5: 4625
  Class 6: 4625
  Class 7: 4625
  Class 8: 4625
  Class 9: 4625
Forget set:
  Class 0: 375
  Class 1: 375
  Class 2: 375
  Class 3: 375
  Class 4: 375
  Class 5: 375
  Class 6: 375
  Class 7: 375
  Class 8: 375
  Class 9: 375
hello
hello
⚠️ Warning: Retain train loader may not be shuffled.
Training Epoch: 1 [256/46250]	Loss: 2.3834	LR: 0.000000
Training Epoch: 1 [512/46250]	Loss: 2.3813	LR: 0.000552
Training Epoch: 1 [768/46250]	Loss: 2.4051	LR: 0.001105
Training Epoch: 1 [1024/46250]	Loss: 2.3253	LR: 0.001657
Training Epoch: 1 [1280/46250]	Loss: 2.3161	LR: 0.002210
Training Epoch: 1 [1536/46250]	Loss: 2.2681	LR: 0.002762
Training Epoch: 1 [1792/46250]	Loss: 2.2446	LR: 0.003315
Training Epoch: 1 [2048/46250]	Loss: 2.2335	LR: 0.003867
Training Epoch: 1 [2304/46250]	Loss: 2.1906	LR: 0.004420
Training Epoch: 1 [2560/46250]	Loss: 2.2290	LR: 0.004972
Training Epoch: 1 [2816/46250]	Loss: 2.1697	LR: 0.005525
Training Epoch: 1 [3072/46250]	Loss: 2.1230	LR: 0.006077
Training Epoch: 1 [3328/46250]	Loss: 2.1484	LR: 0.006630
Training Epoch: 1 [3584/46250]	Loss: 2.1527	LR: 0.007182
Training Epoch: 1 [3840/46250]	Loss: 1.9890	LR: 0.007735
Training Epoch: 1 [4096/46250]	Loss: 2.0431	LR: 0.008287
Training Epoch: 1 [4352/46250]	Loss: 1.8758	LR: 0.008840
Training Epoch: 1 [4608/46250]	Loss: 1.9655	LR: 0.009392
Training Epoch: 1 [4864/46250]	Loss: 1.9223	LR: 0.009945
Training Epoch: 1 [5120/46250]	Loss: 1.8619	LR: 0.010497
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Training Epoch: 1 [8448/46250]	Loss: 1.7328	LR: 0.017680
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Training Epoch: 1 [8960/46250]	Loss: 1.7139	LR: 0.018785
Training Epoch: 1 [9216/46250]	Loss: 1.5953	LR: 0.019337
Training Epoch: 1 [9472/46250]	Loss: 1.5968	LR: 0.019890
Training Epoch: 1 [9728/46250]	Loss: 1.7153	LR: 0.020442
Training Epoch: 1 [9984/46250]	Loss: 1.5900	LR: 0.020994
Training Epoch: 1 [10240/46250]	Loss: 1.4590	LR: 0.021547
Training Epoch: 1 [10496/46250]	Loss: 1.5120	LR: 0.022099
Training Epoch: 1 [10752/46250]	Loss: 1.6545	LR: 0.022652
Training Epoch: 1 [11008/46250]	Loss: 1.9281	LR: 0.023204
Training Epoch: 1 [11264/46250]	Loss: 1.5308	LR: 0.023757
Training Epoch: 1 [11520/46250]	Loss: 1.5379	LR: 0.024309
Training Epoch: 1 [11776/46250]	Loss: 1.6286	LR: 0.024862
Training Epoch: 1 [12032/46250]	Loss: 1.5502	LR: 0.025414
Training Epoch: 1 [12288/46250]	Loss: 1.6441	LR: 0.025967
Training Epoch: 1 [12544/46250]	Loss: 1.4561	LR: 0.026519
Training Epoch: 1 [12800/46250]	Loss: 1.6549	LR: 0.027072
Training Epoch: 1 [13056/46250]	Loss: 1.5056	LR: 0.027624
Training Epoch: 1 [13312/46250]	Loss: 1.6959	LR: 0.028177
Training Epoch: 1 [13568/46250]	Loss: 1.6147	LR: 0.028729
Training Epoch: 1 [13824/46250]	Loss: 1.4447	LR: 0.029282
Training Epoch: 1 [14080/46250]	Loss: 1.5463	LR: 0.029834
Training Epoch: 1 [14336/46250]	Loss: 1.6080	LR: 0.030387
Training Epoch: 1 [14592/46250]	Loss: 1.4297	LR: 0.030939
Training Epoch: 1 [14848/46250]	Loss: 1.5861	LR: 0.031492
Training Epoch: 1 [15104/46250]	Loss: 1.5311	LR: 0.032044
Training Epoch: 1 [15360/46250]	Loss: 1.7953	LR: 0.032597
Training Epoch: 1 [15616/46250]	Loss: 1.4805	LR: 0.033149
Training Epoch: 1 [15872/46250]	Loss: 1.4145	LR: 0.033702
Training Epoch: 1 [16128/46250]	Loss: 1.5888	LR: 0.034254
Training Epoch: 1 [16384/46250]	Loss: 1.4525	LR: 0.034807
Training Epoch: 1 [16640/46250]	Loss: 1.5290	LR: 0.035359
Training Epoch: 1 [16896/46250]	Loss: 1.8348	LR: 0.035912
Training Epoch: 1 [17152/46250]	Loss: 1.6805	LR: 0.036464
Training Epoch: 1 [17408/46250]	Loss: 1.5298	LR: 0.037017
Training Epoch: 1 [17664/46250]	Loss: 1.7958	LR: 0.037569
Training Epoch: 1 [17920/46250]	Loss: 1.7091	LR: 0.038122
Training Epoch: 1 [18176/46250]	Loss: 1.6192	LR: 0.038674
Training Epoch: 1 [18432/46250]	Loss: 1.7118	LR: 0.039227
Training Epoch: 1 [18688/46250]	Loss: 1.7138	LR: 0.039779
Training Epoch: 1 [18944/46250]	Loss: 1.7421	LR: 0.040331
Training Epoch: 1 [19200/46250]	Loss: 1.6462	LR: 0.040884
Training Epoch: 1 [19456/46250]	Loss: 1.6829	LR: 0.041436
Training Epoch: 1 [19712/46250]	Loss: 1.4947	LR: 0.041989
Training Epoch: 1 [19968/46250]	Loss: 1.6410	LR: 0.042541
Training Epoch: 1 [20224/46250]	Loss: 1.5451	LR: 0.043094
Training Epoch: 1 [20480/46250]	Loss: 1.6186	LR: 0.043646
Training Epoch: 1 [20736/46250]	Loss: 1.6809	LR: 0.044199
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Training Epoch: 1 [21504/46250]	Loss: 1.5161	LR: 0.045856
Training Epoch: 1 [21760/46250]	Loss: 1.7754	LR: 0.046409
Training Epoch: 1 [22016/46250]	Loss: 1.4135	LR: 0.046961
Training Epoch: 1 [22272/46250]	Loss: 1.5730	LR: 0.047514
Training Epoch: 1 [22528/46250]	Loss: 1.3709	LR: 0.048066
Training Epoch: 1 [22784/46250]	Loss: 1.4947	LR: 0.048619
Training Epoch: 1 [23040/46250]	Loss: 1.3622	LR: 0.049171
Training Epoch: 1 [23296/46250]	Loss: 1.4669	LR: 0.049724
Training Epoch: 1 [23552/46250]	Loss: 1.3549	LR: 0.050276
Training Epoch: 1 [23808/46250]	Loss: 1.4313	LR: 0.050829
Training Epoch: 1 [24064/46250]	Loss: 1.3947	LR: 0.051381
Training Epoch: 1 [24320/46250]	Loss: 1.4385	LR: 0.051934
Training Epoch: 1 [24576/46250]	Loss: 1.3003	LR: 0.052486
Training Epoch: 1 [24832/46250]	Loss: 1.6711	LR: 0.053039
Training Epoch: 1 [25088/46250]	Loss: 1.4624	LR: 0.053591
Training Epoch: 1 [25344/46250]	Loss: 1.3369	LR: 0.054144
Training Epoch: 1 [25600/46250]	Loss: 1.3974	LR: 0.054696
Training Epoch: 1 [25856/46250]	Loss: 1.4640	LR: 0.055249
Training Epoch: 1 [26112/46250]	Loss: 1.3362	LR: 0.055801
Training Epoch: 1 [26368/46250]	Loss: 1.2773	LR: 0.056354
Training Epoch: 1 [26624/46250]	Loss: 1.4241	LR: 0.056906
Training Epoch: 1 [26880/46250]	Loss: 1.3989	LR: 0.057459
Training Epoch: 1 [27136/46250]	Loss: 1.4050	LR: 0.058011
Training Epoch: 1 [27392/46250]	Loss: 1.4755	LR: 0.058564
Training Epoch: 1 [27648/46250]	Loss: 1.4637	LR: 0.059116
Training Epoch: 1 [27904/46250]	Loss: 1.4238	LR: 0.059669
Training Epoch: 1 [28160/46250]	Loss: 1.2937	LR: 0.060221
Training Epoch: 1 [28416/46250]	Loss: 1.2376	LR: 0.060773
Training Epoch: 1 [28672/46250]	Loss: 1.4508	LR: 0.061326
Training Epoch: 1 [28928/46250]	Loss: 1.3780	LR: 0.061878
Training Epoch: 1 [29184/46250]	Loss: 1.4780	LR: 0.062431
Training Epoch: 1 [29440/46250]	Loss: 1.3665	LR: 0.062983
Training Epoch: 1 [29696/46250]	Loss: 1.3143	LR: 0.063536
Training Epoch: 1 [29952/46250]	Loss: 1.4015	LR: 0.064088
Training Epoch: 1 [30208/46250]	Loss: 1.2528	LR: 0.064641
Training Epoch: 1 [30464/46250]	Loss: 1.4334	LR: 0.065193
Training Epoch: 1 [30720/46250]	Loss: 1.4516	LR: 0.065746
Training Epoch: 1 [30976/46250]	Loss: 1.3942	LR: 0.066298
Training Epoch: 1 [31232/46250]	Loss: 1.3705	LR: 0.066851
Training Epoch: 1 [31488/46250]	Loss: 1.4115	LR: 0.067403
Training Epoch: 1 [31744/46250]	Loss: 1.3800	LR: 0.067956
Training Epoch: 1 [32000/46250]	Loss: 1.3361	LR: 0.068508
Training Epoch: 1 [32256/46250]	Loss: 1.3496	LR: 0.069061
Training Epoch: 1 [32512/46250]	Loss: 1.3965	LR: 0.069613
Training Epoch: 1 [32768/46250]	Loss: 1.3160	LR: 0.070166
Training Epoch: 1 [33024/46250]	Loss: 1.2328	LR: 0.070718
Training Epoch: 1 [33280/46250]	Loss: 1.4839	LR: 0.071271
Training Epoch: 1 [33536/46250]	Loss: 1.4174	LR: 0.071823
Training Epoch: 1 [33792/46250]	Loss: 1.3247	LR: 0.072376
Training Epoch: 1 [34048/46250]	Loss: 1.4188	LR: 0.072928
Training Epoch: 1 [34304/46250]	Loss: 1.3863	LR: 0.073481
Training Epoch: 1 [34560/46250]	Loss: 1.3639	LR: 0.074033
Training Epoch: 1 [34816/46250]	Loss: 1.2600	LR: 0.074586
Training Epoch: 1 [35072/46250]	Loss: 1.2777	LR: 0.075138
Training Epoch: 1 [35328/46250]	Loss: 1.2768	LR: 0.075691
Training Epoch: 1 [35584/46250]	Loss: 1.1539	LR: 0.076243
Training Epoch: 1 [35840/46250]	Loss: 1.3522	LR: 0.076796
Training Epoch: 1 [36096/46250]	Loss: 1.2889	LR: 0.077348
Training Epoch: 1 [36352/46250]	Loss: 1.1942	LR: 0.077901
Training Epoch: 1 [36608/46250]	Loss: 1.2595	LR: 0.078453
Training Epoch: 1 [36864/46250]	Loss: 1.1392	LR: 0.079006
Training Epoch: 1 [37120/46250]	Loss: 1.2151	LR: 0.079558
Training Epoch: 1 [37376/46250]	Loss: 1.2850	LR: 0.080110
Training Epoch: 1 [37632/46250]	Loss: 1.1708	LR: 0.080663
Training Epoch: 1 [37888/46250]	Loss: 1.1819	LR: 0.081215
Training Epoch: 1 [38144/46250]	Loss: 1.2996	LR: 0.081768
Training Epoch: 1 [38400/46250]	Loss: 1.2935	LR: 0.082320
Training Epoch: 1 [38656/46250]	Loss: 1.1443	LR: 0.082873
Training Epoch: 1 [38912/46250]	Loss: 1.4121	LR: 0.083425
Training Epoch: 1 [39168/46250]	Loss: 1.3645	LR: 0.083978
Training Epoch: 1 [39424/46250]	Loss: 1.2311	LR: 0.084530
Training Epoch: 1 [39680/46250]	Loss: 1.3803	LR: 0.085083
Training Epoch: 1 [39936/46250]	Loss: 1.0904	LR: 0.085635
Training Epoch: 1 [40192/46250]	Loss: 1.2285	LR: 0.086188
Training Epoch: 1 [40448/46250]	Loss: 1.1861	LR: 0.086740
Training Epoch: 1 [40704/46250]	Loss: 1.1974	LR: 0.087293
Training Epoch: 1 [40960/46250]	Loss: 1.1714	LR: 0.087845
Training Epoch: 1 [41216/46250]	Loss: 1.1006	LR: 0.088398
Training Epoch: 1 [41472/46250]	Loss: 1.1823	LR: 0.088950
Training Epoch: 1 [41728/46250]	Loss: 1.2857	LR: 0.089503
Training Epoch: 1 [41984/46250]	Loss: 1.2263	LR: 0.090055
Training Epoch: 1 [42240/46250]	Loss: 1.2323	LR: 0.090608
Training Epoch: 1 [42496/46250]	Loss: 1.1584	LR: 0.091160
Training Epoch: 1 [42752/46250]	Loss: 1.0762	LR: 0.091713
Training Epoch: 1 [43008/46250]	Loss: 1.2058	LR: 0.092265
Training Epoch: 1 [43264/46250]	Loss: 1.2049	LR: 0.092818
Training Epoch: 1 [43520/46250]	Loss: 1.1250	LR: 0.093370
Training Epoch: 1 [43776/46250]	Loss: 1.2213	LR: 0.093923
Training Epoch: 1 [44032/46250]	Loss: 1.2365	LR: 0.094475
Training Epoch: 1 [44288/46250]	Loss: 1.1403	LR: 0.095028
Training Epoch: 1 [44544/46250]	Loss: 1.1825	LR: 0.095580
Training Epoch: 1 [44800/46250]	Loss: 1.1110	LR: 0.096133
Training Epoch: 1 [45056/46250]	Loss: 1.2995	LR: 0.096685
Training Epoch: 1 [45312/46250]	Loss: 1.0876	LR: 0.097238
Training Epoch: 1 [45568/46250]	Loss: 1.1531	LR: 0.097790
Training Epoch: 1 [45824/46250]	Loss: 1.2648	LR: 0.098343
Training Epoch: 1 [46080/46250]	Loss: 1.0721	LR: 0.098895
Training Epoch: 1 [46250/46250]	Loss: 1.1086	LR: 0.099448
Epoch 1 - Average Train Loss: 1.5199, Train Accuracy: 0.4490
Epoch 1 training time consumed: 18.13s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0070, Accuracy: 0.4632, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_13h_09m_42s/ResNet18-Cifar10-seed10-ret25-1-best.pth
Valid (Test) Dl:  10000
Train Dl:  50000
Retain Train Dl:  46250
Forget Train Dl:  3750
Retain Valid Dl:  46250
Forget Valid Dl:  3750
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 3750 samples
Set1 Distribution: 3750 samples
Set2 Distribution: 3750 samples
Set1 Distribution: 3750 samples
Set2 Distribution: 3750 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Test Accuracy: 46.259765625
Retain Accuracy: 47.535316467285156
Zero-Retain Forget (ZRF): 0.9057561159133911
Membership Inference Attack (MIA): 0.38053333333333333
Forget vs Retain Membership Inference Attack (MIA): 0.5493333333333333
Forget vs Test Membership Inference Attack (MIA): 0.5006666666666667
Test vs Retain Membership Inference Attack (MIA): 0.61675
Train vs Test Membership Inference Attack (MIA): 0.5065
Forget Set Accuracy (Df): 45.91020584106445
Method Execution Time: 911.79 seconds
