hello
hello

📌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

📊 Updated class distribution:
Retain set:
  Class 0: 4750
  Class 1: 4750
  Class 2: 4750
  Class 3: 4750
  Class 4: 4750
  Class 5: 4750
  Class 6: 4750
  Class 7: 4750
  Class 8: 4750
  Class 9: 4750
Forget set:
  Class 0: 250
  Class 1: 250
  Class 2: 250
  Class 3: 250
  Class 4: 250
  Class 5: 250
  Class 6: 250
  Class 7: 250
  Class 8: 250
  Class 9: 250
hello
hello
⚠️ Warning: Retain train loader may not be shuffled.
Training Epoch: 1 [256/47500]	Loss: 2.4642	LR: 0.000000
Training Epoch: 1 [512/47500]	Loss: 2.4763	LR: 0.000538
Training Epoch: 1 [768/47500]	Loss: 2.4358	LR: 0.001075
Training Epoch: 1 [1024/47500]	Loss: 2.4116	LR: 0.001613
Training Epoch: 1 [1280/47500]	Loss: 2.3810	LR: 0.002151
Training Epoch: 1 [1536/47500]	Loss: 2.2731	LR: 0.002688
Training Epoch: 1 [1792/47500]	Loss: 2.0957	LR: 0.003226
Training Epoch: 1 [2048/47500]	Loss: 1.8561	LR: 0.003763
Training Epoch: 1 [2304/47500]	Loss: 1.7245	LR: 0.004301
Training Epoch: 1 [2560/47500]	Loss: 1.4878	LR: 0.004839
Training Epoch: 1 [2816/47500]	Loss: 1.2721	LR: 0.005376
Training Epoch: 1 [3072/47500]	Loss: 1.0765	LR: 0.005914
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Training Epoch: 1 [9472/47500]	Loss: 0.2474	LR: 0.019355
Training Epoch: 1 [9728/47500]	Loss: 0.1520	LR: 0.019892
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Training Epoch: 1 [10240/47500]	Loss: 0.1411	LR: 0.020968
Training Epoch: 1 [10496/47500]	Loss: 0.2561	LR: 0.021505
Training Epoch: 1 [10752/47500]	Loss: 0.2937	LR: 0.022043
Training Epoch: 1 [11008/47500]	Loss: 0.1382	LR: 0.022581
Training Epoch: 1 [11264/47500]	Loss: 0.3098	LR: 0.023118
Training Epoch: 1 [11520/47500]	Loss: 0.5152	LR: 0.023656
Training Epoch: 1 [11776/47500]	Loss: 0.2675	LR: 0.024194
Training Epoch: 1 [12032/47500]	Loss: 0.2188	LR: 0.024731
Training Epoch: 1 [12288/47500]	Loss: 0.5781	LR: 0.025269
Training Epoch: 1 [12544/47500]	Loss: 0.4711	LR: 0.025806
Training Epoch: 1 [12800/47500]	Loss: 0.5055	LR: 0.026344
Training Epoch: 1 [13056/47500]	Loss: 0.3056	LR: 0.026882
Training Epoch: 1 [13312/47500]	Loss: 0.2250	LR: 0.027419
Training Epoch: 1 [13568/47500]	Loss: 0.4524	LR: 0.027957
Training Epoch: 1 [13824/47500]	Loss: 0.3623	LR: 0.028495
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Training Epoch: 1 [14336/47500]	Loss: 0.2953	LR: 0.029570
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Training Epoch: 1 [16896/47500]	Loss: 0.2332	LR: 0.034946
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Training Epoch: 1 [20736/47500]	Loss: 0.2130	LR: 0.043011
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Training Epoch: 1 [22272/47500]	Loss: 0.1997	LR: 0.046237
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Training Epoch: 1 [23552/47500]	Loss: 0.2763	LR: 0.048925
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Training Epoch: 1 [24832/47500]	Loss: 0.3683	LR: 0.051613
Training Epoch: 1 [25088/47500]	Loss: 0.3654	LR: 0.052151
Training Epoch: 1 [25344/47500]	Loss: 0.4071	LR: 0.052688
Training Epoch: 1 [25600/47500]	Loss: 0.2375	LR: 0.053226
Training Epoch: 1 [25856/47500]	Loss: 0.2518	LR: 0.053763
Training Epoch: 1 [26112/47500]	Loss: 0.3760	LR: 0.054301
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Training Epoch: 1 [26880/47500]	Loss: 0.4778	LR: 0.055914
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Training Epoch: 1 [27904/47500]	Loss: 0.2437	LR: 0.058065
Training Epoch: 1 [28160/47500]	Loss: 0.3722	LR: 0.058602
Training Epoch: 1 [28416/47500]	Loss: 0.4015	LR: 0.059140
Training Epoch: 1 [28672/47500]	Loss: 0.2742	LR: 0.059677
Training Epoch: 1 [28928/47500]	Loss: 0.2247	LR: 0.060215
Training Epoch: 1 [29184/47500]	Loss: 0.4679	LR: 0.060753
Training Epoch: 1 [29440/47500]	Loss: 0.3433	LR: 0.061290
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Training Epoch: 1 [30208/47500]	Loss: 0.3119	LR: 0.062903
Training Epoch: 1 [30464/47500]	Loss: 0.3642	LR: 0.063441
Training Epoch: 1 [30720/47500]	Loss: 0.6412	LR: 0.063978
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Training Epoch: 1 [31232/47500]	Loss: 0.3742	LR: 0.065054
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Training Epoch: 1 [31744/47500]	Loss: 0.4475	LR: 0.066129
Training Epoch: 1 [32000/47500]	Loss: 0.5854	LR: 0.066667
Training Epoch: 1 [32256/47500]	Loss: 0.4702	LR: 0.067204
Training Epoch: 1 [32512/47500]	Loss: 0.3454	LR: 0.067742
Training Epoch: 1 [32768/47500]	Loss: 0.4940	LR: 0.068280
Training Epoch: 1 [33024/47500]	Loss: 0.6912	LR: 0.068817
Training Epoch: 1 [33280/47500]	Loss: 0.4987	LR: 0.069355
Training Epoch: 1 [33536/47500]	Loss: 0.5298	LR: 0.069892
Training Epoch: 1 [33792/47500]	Loss: 0.3810	LR: 0.070430
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Training Epoch: 1 [35328/47500]	Loss: 0.5253	LR: 0.073656
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Training Epoch: 1 [35840/47500]	Loss: 0.4493	LR: 0.074731
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Training Epoch: 1 [36352/47500]	Loss: 0.6650	LR: 0.075806
Training Epoch: 1 [36608/47500]	Loss: 0.3755	LR: 0.076344
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Training Epoch: 1 [37120/47500]	Loss: 0.6491	LR: 0.077419
Training Epoch: 1 [37376/47500]	Loss: 0.4389	LR: 0.077957
Training Epoch: 1 [37632/47500]	Loss: 0.4336	LR: 0.078495
Training Epoch: 1 [37888/47500]	Loss: 0.4044	LR: 0.079032
Training Epoch: 1 [38144/47500]	Loss: 0.4829	LR: 0.079570
Training Epoch: 1 [38400/47500]	Loss: 0.4814	LR: 0.080108
Training Epoch: 1 [38656/47500]	Loss: 0.4930	LR: 0.080645
Training Epoch: 1 [38912/47500]	Loss: 0.4240	LR: 0.081183
Training Epoch: 1 [39168/47500]	Loss: 0.4889	LR: 0.081720
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Training Epoch: 1 [39680/47500]	Loss: 0.5521	LR: 0.082796
Training Epoch: 1 [39936/47500]	Loss: 0.6339	LR: 0.083333
Training Epoch: 1 [40192/47500]	Loss: 0.5999	LR: 0.083871
Training Epoch: 1 [40448/47500]	Loss: 0.4285	LR: 0.084409
Training Epoch: 1 [40704/47500]	Loss: 0.5517	LR: 0.084946
Training Epoch: 1 [40960/47500]	Loss: 0.6180	LR: 0.085484
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Training Epoch: 1 [41728/47500]	Loss: 0.4898	LR: 0.087097
Training Epoch: 1 [41984/47500]	Loss: 0.3716	LR: 0.087634
Training Epoch: 1 [42240/47500]	Loss: 0.7124	LR: 0.088172
Training Epoch: 1 [42496/47500]	Loss: 0.5505	LR: 0.088710
Training Epoch: 1 [42752/47500]	Loss: 0.5741	LR: 0.089247
Training Epoch: 1 [43008/47500]	Loss: 0.5924	LR: 0.089785
Training Epoch: 1 [43264/47500]	Loss: 0.6674	LR: 0.090323
Training Epoch: 1 [43520/47500]	Loss: 0.4739	LR: 0.090860
Training Epoch: 1 [43776/47500]	Loss: 0.4712	LR: 0.091398
Training Epoch: 1 [44032/47500]	Loss: 0.5773	LR: 0.091935
Training Epoch: 1 [44288/47500]	Loss: 0.4337	LR: 0.092473
Training Epoch: 1 [44544/47500]	Loss: 0.4802	LR: 0.093011
Training Epoch: 1 [44800/47500]	Loss: 0.4515	LR: 0.093548
Training Epoch: 1 [45056/47500]	Loss: 0.3948	LR: 0.094086
Training Epoch: 1 [45312/47500]	Loss: 0.4249	LR: 0.094624
Training Epoch: 1 [45568/47500]	Loss: 0.6169	LR: 0.095161
Training Epoch: 1 [45824/47500]	Loss: 0.5124	LR: 0.095699
Training Epoch: 1 [46080/47500]	Loss: 0.5699	LR: 0.096237
Training Epoch: 1 [46336/47500]	Loss: 0.6114	LR: 0.096774
Training Epoch: 1 [46592/47500]	Loss: 0.4072	LR: 0.097312
Training Epoch: 1 [46848/47500]	Loss: 0.4892	LR: 0.097849
Training Epoch: 1 [47104/47500]	Loss: 0.4913	LR: 0.098387
Training Epoch: 1 [47360/47500]	Loss: 0.5258	LR: 0.098925
Training Epoch: 1 [47500/47500]	Loss: 0.4147	LR: 0.099462
Epoch 1 - Average Train Loss: 0.4809, Train Accuracy: 0.8472
Epoch 1 training time consumed: 343.68s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0011, Accuracy: 0.9047, Time consumed:23.51s
Saving weights file to checkpoint/retrain/ViT/Saturday_19_July_2025_05h_08m_23s/ViT-Cifar10-seed10-ret50-1-best.pth
Training Epoch: 2 [256/47500]	Loss: 0.3461	LR: 0.100000
Training Epoch: 2 [512/47500]	Loss: 0.3551	LR: 0.100000
Training Epoch: 2 [768/47500]	Loss: 0.3453	LR: 0.100000
Training Epoch: 2 [1024/47500]	Loss: 0.4863	LR: 0.100000
Training Epoch: 2 [1280/47500]	Loss: 0.3983	LR: 0.100000
Training Epoch: 2 [1536/47500]	Loss: 0.3521	LR: 0.100000
Training Epoch: 2 [1792/47500]	Loss: 0.3528	LR: 0.100000
Training Epoch: 2 [2048/47500]	Loss: 0.4441	LR: 0.100000
Training Epoch: 2 [2304/47500]	Loss: 0.3496	LR: 0.100000
Training Epoch: 2 [2560/47500]	Loss: 0.2673	LR: 0.100000
Training Epoch: 2 [2816/47500]	Loss: 0.3456	LR: 0.100000
Training Epoch: 2 [3072/47500]	Loss: 0.3701	LR: 0.100000
Training Epoch: 2 [3328/47500]	Loss: 0.3100	LR: 0.100000
Training Epoch: 2 [3584/47500]	Loss: 0.3012	LR: 0.100000
Training Epoch: 2 [3840/47500]	Loss: 0.2458	LR: 0.100000
Training Epoch: 2 [4096/47500]	Loss: 0.2669	LR: 0.100000
Training Epoch: 2 [4352/47500]	Loss: 0.1948	LR: 0.100000
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Training Epoch: 2 [47500/47500]	Loss: 0.2648	LR: 0.100000
Epoch 2 - Average Train Loss: 0.2260, Train Accuracy: 0.9257
Epoch 2 training time consumed: 342.48s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0007, Accuracy: 0.9484, Time consumed:23.49s
Saving weights file to checkpoint/retrain/ViT/Saturday_19_July_2025_05h_08m_23s/ViT-Cifar10-seed10-ret50-2-best.pth
Training Epoch: 3 [256/47500]	Loss: 0.1242	LR: 0.100000
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Training Epoch: 3 [47500/47500]	Loss: 0.2006	LR: 0.100000
Epoch 3 - Average Train Loss: 0.1594, Train Accuracy: 0.9455
Epoch 3 training time consumed: 342.33s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0007, Accuracy: 0.9453, Time consumed:23.48s
Training Epoch: 4 [256/47500]	Loss: 0.1467	LR: 0.100000
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Epoch 4 - Average Train Loss: 0.1462, Train Accuracy: 0.9497
Epoch 4 training time consumed: 342.67s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0006, Accuracy: 0.9493, Time consumed:23.50s
Saving weights file to checkpoint/retrain/ViT/Saturday_19_July_2025_05h_08m_23s/ViT-Cifar10-seed10-ret50-4-best.pth
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Training Epoch: 5 [31744/47500]	Loss: 0.1657	LR: 0.100000
Training Epoch: 5 [32000/47500]	Loss: 0.1657	LR: 0.100000
Training Epoch: 5 [32256/47500]	Loss: 0.1607	LR: 0.100000
Training Epoch: 5 [32512/47500]	Loss: 0.1655	LR: 0.100000
Training Epoch: 5 [32768/47500]	Loss: 0.2050	LR: 0.100000
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Training Epoch: 5 [35072/47500]	Loss: 0.1953	LR: 0.100000
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Training Epoch: 5 [37120/47500]	Loss: 0.2069	LR: 0.100000
Training Epoch: 5 [37376/47500]	Loss: 0.2082	LR: 0.100000
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Training Epoch: 5 [38144/47500]	Loss: 0.1370	LR: 0.100000
Training Epoch: 5 [38400/47500]	Loss: 0.1629	LR: 0.100000
Training Epoch: 5 [38656/47500]	Loss: 0.1295	LR: 0.100000
Training Epoch: 5 [38912/47500]	Loss: 0.1535	LR: 0.100000
Training Epoch: 5 [39168/47500]	Loss: 0.1715	LR: 0.100000
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Training Epoch: 5 [39936/47500]	Loss: 0.1633	LR: 0.100000
Training Epoch: 5 [40192/47500]	Loss: 0.2226	LR: 0.100000
Training Epoch: 5 [40448/47500]	Loss: 0.0841	LR: 0.100000
Training Epoch: 5 [40704/47500]	Loss: 0.1474	LR: 0.100000
Training Epoch: 5 [40960/47500]	Loss: 0.1144	LR: 0.100000
Training Epoch: 5 [41216/47500]	Loss: 0.1938	LR: 0.100000
Training Epoch: 5 [41472/47500]	Loss: 0.2066	LR: 0.100000
Training Epoch: 5 [41728/47500]	Loss: 0.1524	LR: 0.100000
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Training Epoch: 5 [42240/47500]	Loss: 0.1511	LR: 0.100000
Training Epoch: 5 [42496/47500]	Loss: 0.1112	LR: 0.100000
Training Epoch: 5 [42752/47500]	Loss: 0.1541	LR: 0.100000
Training Epoch: 5 [43008/47500]	Loss: 0.1779	LR: 0.100000
Training Epoch: 5 [43264/47500]	Loss: 0.1791	LR: 0.100000
Training Epoch: 5 [43520/47500]	Loss: 0.0769	LR: 0.100000
Training Epoch: 5 [43776/47500]	Loss: 0.0985	LR: 0.100000
Training Epoch: 5 [44032/47500]	Loss: 0.0798	LR: 0.100000
Training Epoch: 5 [44288/47500]	Loss: 0.1046	LR: 0.100000
Training Epoch: 5 [44544/47500]	Loss: 0.1638	LR: 0.100000
Training Epoch: 5 [44800/47500]	Loss: 0.1002	LR: 0.100000
Training Epoch: 5 [45056/47500]	Loss: 0.1076	LR: 0.100000
Training Epoch: 5 [45312/47500]	Loss: 0.2219	LR: 0.100000
Training Epoch: 5 [45568/47500]	Loss: 0.2356	LR: 0.100000
Training Epoch: 5 [45824/47500]	Loss: 0.1821	LR: 0.100000
Training Epoch: 5 [46080/47500]	Loss: 0.2324	LR: 0.100000
Training Epoch: 5 [46336/47500]	Loss: 0.1935	LR: 0.100000
Training Epoch: 5 [46592/47500]	Loss: 0.2060	LR: 0.100000
Training Epoch: 5 [46848/47500]	Loss: 0.2083	LR: 0.100000
Training Epoch: 5 [47104/47500]	Loss: 0.1106	LR: 0.100000
Training Epoch: 5 [47360/47500]	Loss: 0.2289	LR: 0.100000
Training Epoch: 5 [47500/47500]	Loss: 0.0834	LR: 0.100000
Epoch 5 - Average Train Loss: 0.1592, Train Accuracy: 0.9449
Epoch 5 training time consumed: 342.57s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0007, Accuracy: 0.9419, Time consumed:23.51s
Training Epoch: 6 [256/47500]	Loss: 0.2298	LR: 0.100000
Training Epoch: 6 [512/47500]	Loss: 0.0934	LR: 0.100000
Training Epoch: 6 [768/47500]	Loss: 0.1036	LR: 0.100000
Training Epoch: 6 [1024/47500]	Loss: 0.2075	LR: 0.100000
Training Epoch: 6 [1280/47500]	Loss: 0.1373	LR: 0.100000
Training Epoch: 6 [1536/47500]	Loss: 0.1533	LR: 0.100000
Training Epoch: 6 [1792/47500]	Loss: 0.2609	LR: 0.100000
Training Epoch: 6 [2048/47500]	Loss: 0.2197	LR: 0.100000
Training Epoch: 6 [2304/47500]	Loss: 0.2061	LR: 0.100000
Training Epoch: 6 [2560/47500]	Loss: 0.1105	LR: 0.100000
Training Epoch: 6 [2816/47500]	Loss: 0.1463	LR: 0.100000
Training Epoch: 6 [3072/47500]	Loss: 0.0917	LR: 0.100000
Training Epoch: 6 [3328/47500]	Loss: 0.1239	LR: 0.100000
Training Epoch: 6 [3584/47500]	Loss: 0.0536	LR: 0.100000
Training Epoch: 6 [3840/47500]	Loss: 0.1883	LR: 0.100000
Training Epoch: 6 [4096/47500]	Loss: 0.1792	LR: 0.100000
Training Epoch: 6 [4352/47500]	Loss: 0.1243	LR: 0.100000
Training Epoch: 6 [4608/47500]	Loss: 0.2501	LR: 0.100000
Training Epoch: 6 [4864/47500]	Loss: 0.1512	LR: 0.100000
Training Epoch: 6 [5120/47500]	Loss: 0.1810	LR: 0.100000
Training Epoch: 6 [5376/47500]	Loss: 0.1432	LR: 0.100000
Training Epoch: 6 [5632/47500]	Loss: 0.1565	LR: 0.100000
Training Epoch: 6 [5888/47500]	Loss: 0.1485	LR: 0.100000
Training Epoch: 6 [6144/47500]	Loss: 0.2142	LR: 0.100000
Training Epoch: 6 [6400/47500]	Loss: 0.1397	LR: 0.100000
Training Epoch: 6 [6656/47500]	Loss: 0.1171	LR: 0.100000
Training Epoch: 6 [6912/47500]	Loss: 0.2389	LR: 0.100000
Training Epoch: 6 [7168/47500]	Loss: 0.1229	LR: 0.100000
Training Epoch: 6 [7424/47500]	Loss: 0.1823	LR: 0.100000
Training Epoch: 6 [7680/47500]	Loss: 0.1819	LR: 0.100000
Training Epoch: 6 [7936/47500]	Loss: 0.1585	LR: 0.100000
Training Epoch: 6 [8192/47500]	Loss: 0.2197	LR: 0.100000
Training Epoch: 6 [8448/47500]	Loss: 0.1392	LR: 0.100000
Training Epoch: 6 [8704/47500]	Loss: 0.2053	LR: 0.100000
Training Epoch: 6 [8960/47500]	Loss: 0.1511	LR: 0.100000
Training Epoch: 6 [9216/47500]	Loss: 0.1316	LR: 0.100000
Training Epoch: 6 [9472/47500]	Loss: 0.1281	LR: 0.100000
Training Epoch: 6 [9728/47500]	Loss: 0.0934	LR: 0.100000
Training Epoch: 6 [9984/47500]	Loss: 0.1304	LR: 0.100000
Training Epoch: 6 [10240/47500]	Loss: 0.1701	LR: 0.100000
Training Epoch: 6 [10496/47500]	Loss: 0.1551	LR: 0.100000
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Training Epoch: 6 [11008/47500]	Loss: 0.1648	LR: 0.100000
Training Epoch: 6 [11264/47500]	Loss: 0.0728	LR: 0.100000
Training Epoch: 6 [11520/47500]	Loss: 0.1397	LR: 0.100000
Training Epoch: 6 [11776/47500]	Loss: 0.0609	LR: 0.100000
Training Epoch: 6 [12032/47500]	Loss: 0.0777	LR: 0.100000
Training Epoch: 6 [12288/47500]	Loss: 0.1518	LR: 0.100000
Training Epoch: 6 [12544/47500]	Loss: 0.1732	LR: 0.100000
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Training Epoch: 6 [13056/47500]	Loss: 0.1353	LR: 0.100000
Training Epoch: 6 [13312/47500]	Loss: 0.2193	LR: 0.100000
Training Epoch: 6 [13568/47500]	Loss: 0.1555	LR: 0.100000
Training Epoch: 6 [13824/47500]	Loss: 0.2510	LR: 0.100000
Training Epoch: 6 [14080/47500]	Loss: 0.2473	LR: 0.100000
Training Epoch: 6 [14336/47500]	Loss: 0.1643	LR: 0.100000
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Training Epoch: 6 [29184/47500]	Loss: 0.1639	LR: 0.100000
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Training Epoch: 6 [30208/47500]	Loss: 0.2032	LR: 0.100000
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Training Epoch: 6 [31232/47500]	Loss: 0.2323	LR: 0.100000
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Training Epoch: 6 [31744/47500]	Loss: 0.1837	LR: 0.100000
Training Epoch: 6 [32000/47500]	Loss: 0.2384	LR: 0.100000
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Training Epoch: 6 [35072/47500]	Loss: 0.2040	LR: 0.100000
Training Epoch: 6 [35328/47500]	Loss: 0.1084	LR: 0.100000
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Training Epoch: 6 [35840/47500]	Loss: 0.2666	LR: 0.100000
Training Epoch: 6 [36096/47500]	Loss: 0.1346	LR: 0.100000
Training Epoch: 6 [36352/47500]	Loss: 0.2284	LR: 0.100000
Training Epoch: 6 [36608/47500]	Loss: 0.1409	LR: 0.100000
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Training Epoch: 6 [37376/47500]	Loss: 0.1933	LR: 0.100000
Training Epoch: 6 [37632/47500]	Loss: 0.1738	LR: 0.100000
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Training Epoch: 6 [38144/47500]	Loss: 0.2526	LR: 0.100000
Training Epoch: 6 [38400/47500]	Loss: 0.2027	LR: 0.100000
Training Epoch: 6 [38656/47500]	Loss: 0.2016	LR: 0.100000
Training Epoch: 6 [38912/47500]	Loss: 0.2131	LR: 0.100000
Training Epoch: 6 [39168/47500]	Loss: 0.1740	LR: 0.100000
Training Epoch: 6 [39424/47500]	Loss: 0.1761	LR: 0.100000
Training Epoch: 6 [39680/47500]	Loss: 0.2012	LR: 0.100000
Training Epoch: 6 [39936/47500]	Loss: 0.1833	LR: 0.100000
Training Epoch: 6 [40192/47500]	Loss: 0.1916	LR: 0.100000
Training Epoch: 6 [40448/47500]	Loss: 0.2185	LR: 0.100000
Training Epoch: 6 [40704/47500]	Loss: 0.2205	LR: 0.100000
Training Epoch: 6 [40960/47500]	Loss: 0.1712	LR: 0.100000
Training Epoch: 6 [41216/47500]	Loss: 0.1388	LR: 0.100000
Training Epoch: 6 [41472/47500]	Loss: 0.1605	LR: 0.100000
Training Epoch: 6 [41728/47500]	Loss: 0.1973	LR: 0.100000
Training Epoch: 6 [41984/47500]	Loss: 0.2431	LR: 0.100000
Training Epoch: 6 [42240/47500]	Loss: 0.1866	LR: 0.100000
Training Epoch: 6 [42496/47500]	Loss: 0.2569	LR: 0.100000
Training Epoch: 6 [42752/47500]	Loss: 0.2345	LR: 0.100000
Training Epoch: 6 [43008/47500]	Loss: 0.1353	LR: 0.100000
Training Epoch: 6 [43264/47500]	Loss: 0.1613	LR: 0.100000
Training Epoch: 6 [43520/47500]	Loss: 0.2857	LR: 0.100000
Training Epoch: 6 [43776/47500]	Loss: 0.1603	LR: 0.100000
Training Epoch: 6 [44032/47500]	Loss: 0.2120	LR: 0.100000
Training Epoch: 6 [44288/47500]	Loss: 0.3011	LR: 0.100000
Training Epoch: 6 [44544/47500]	Loss: 0.2505	LR: 0.100000
Training Epoch: 6 [44800/47500]	Loss: 0.2028	LR: 0.100000
Training Epoch: 6 [45056/47500]	Loss: 0.2506	LR: 0.100000
Training Epoch: 6 [45312/47500]	Loss: 0.3784	LR: 0.100000
Training Epoch: 6 [45568/47500]	Loss: 0.1987	LR: 0.100000
Training Epoch: 6 [45824/47500]	Loss: 0.2141	LR: 0.100000
Training Epoch: 6 [46080/47500]	Loss: 0.2666	LR: 0.100000
Training Epoch: 6 [46336/47500]	Loss: 0.2586	LR: 0.100000
Training Epoch: 6 [46592/47500]	Loss: 0.2959	LR: 0.100000
Training Epoch: 6 [46848/47500]	Loss: 0.2368	LR: 0.100000
Training Epoch: 6 [47104/47500]	Loss: 0.2166	LR: 0.100000
Training Epoch: 6 [47360/47500]	Loss: 0.2066	LR: 0.100000
Training Epoch: 6 [47500/47500]	Loss: 0.2505	LR: 0.100000
Epoch 6 - Average Train Loss: 0.1887, Train Accuracy: 0.9356
Epoch 6 training time consumed: 342.54s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0011, Accuracy: 0.9055, Time consumed:23.49s
Training Epoch: 7 [256/47500]	Loss: 0.1951	LR: 0.020000
Training Epoch: 7 [512/47500]	Loss: 0.2079	LR: 0.020000
Training Epoch: 7 [768/47500]	Loss: 0.1537	LR: 0.020000
Training Epoch: 7 [1024/47500]	Loss: 0.1658	LR: 0.020000
Training Epoch: 7 [1280/47500]	Loss: 0.1351	LR: 0.020000
Training Epoch: 7 [1536/47500]	Loss: 0.0924	LR: 0.020000
Training Epoch: 7 [1792/47500]	Loss: 0.1293	LR: 0.020000
Training Epoch: 7 [2048/47500]	Loss: 0.1235	LR: 0.020000
Training Epoch: 7 [2304/47500]	Loss: 0.1903	LR: 0.020000
Training Epoch: 7 [2560/47500]	Loss: 0.1004	LR: 0.020000
Training Epoch: 7 [2816/47500]	Loss: 0.0741	LR: 0.020000
Training Epoch: 7 [3072/47500]	Loss: 0.0786	LR: 0.020000
Training Epoch: 7 [3328/47500]	Loss: 0.1567	LR: 0.020000
Training Epoch: 7 [3584/47500]	Loss: 0.1004	LR: 0.020000
Training Epoch: 7 [3840/47500]	Loss: 0.0785	LR: 0.020000
Training Epoch: 7 [4096/47500]	Loss: 0.0800	LR: 0.020000
Training Epoch: 7 [4352/47500]	Loss: 0.0721	LR: 0.020000
Training Epoch: 7 [4608/47500]	Loss: 0.0761	LR: 0.020000
Training Epoch: 7 [4864/47500]	Loss: 0.1243	LR: 0.020000
Training Epoch: 7 [5120/47500]	Loss: 0.0696	LR: 0.020000
Training Epoch: 7 [5376/47500]	Loss: 0.0679	LR: 0.020000
Training Epoch: 7 [5632/47500]	Loss: 0.0700	LR: 0.020000
Training Epoch: 7 [5888/47500]	Loss: 0.1075	LR: 0.020000
Training Epoch: 7 [6144/47500]	Loss: 0.0453	LR: 0.020000
Training Epoch: 7 [6400/47500]	Loss: 0.0718	LR: 0.020000
Training Epoch: 7 [6656/47500]	Loss: 0.0727	LR: 0.020000
Training Epoch: 7 [6912/47500]	Loss: 0.0415	LR: 0.020000
Training Epoch: 7 [7168/47500]	Loss: 0.1233	LR: 0.020000
Training Epoch: 7 [7424/47500]	Loss: 0.0511	LR: 0.020000
Training Epoch: 7 [7680/47500]	Loss: 0.0905	LR: 0.020000
Training Epoch: 7 [7936/47500]	Loss: 0.0727	LR: 0.020000
Training Epoch: 7 [8192/47500]	Loss: 0.0607	LR: 0.020000
Training Epoch: 7 [8448/47500]	Loss: 0.0946	LR: 0.020000
Training Epoch: 7 [8704/47500]	Loss: 0.0329	LR: 0.020000
Training Epoch: 7 [8960/47500]	Loss: 0.1133	LR: 0.020000
Training Epoch: 7 [9216/47500]	Loss: 0.0652	LR: 0.020000
Training Epoch: 7 [9472/47500]	Loss: 0.0547	LR: 0.020000
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Training Epoch: 7 [9984/47500]	Loss: 0.0571	LR: 0.020000
Training Epoch: 7 [10240/47500]	Loss: 0.0853	LR: 0.020000
Training Epoch: 7 [10496/47500]	Loss: 0.0517	LR: 0.020000
Training Epoch: 7 [10752/47500]	Loss: 0.0602	LR: 0.020000
Training Epoch: 7 [11008/47500]	Loss: 0.0765	LR: 0.020000
Training Epoch: 7 [11264/47500]	Loss: 0.0714	LR: 0.020000
Training Epoch: 7 [11520/47500]	Loss: 0.0528	LR: 0.020000
Training Epoch: 7 [11776/47500]	Loss: 0.0710	LR: 0.020000
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Training Epoch: 7 [47500/47500]	Loss: 0.0405	LR: 0.020000
Epoch 7 - Average Train Loss: 0.0638, Train Accuracy: 0.9785
Epoch 7 training time consumed: 343.06s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0004, Accuracy: 0.9691, Time consumed:23.52s
Saving weights file to checkpoint/retrain/ViT/Saturday_19_July_2025_05h_08m_23s/ViT-Cifar10-seed10-ret50-7-best.pth
Training Epoch: 8 [256/47500]	Loss: 0.0863	LR: 0.020000
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Training Epoch: 8 [37120/47500]	Loss: 0.0525	LR: 0.020000
Training Epoch: 8 [37376/47500]	Loss: 0.0454	LR: 0.020000
Training Epoch: 8 [37632/47500]	Loss: 0.0432	LR: 0.020000
Training Epoch: 8 [37888/47500]	Loss: 0.0245	LR: 0.020000
Training Epoch: 8 [38144/47500]	Loss: 0.0349	LR: 0.020000
Training Epoch: 8 [38400/47500]	Loss: 0.0345	LR: 0.020000
Training Epoch: 8 [38656/47500]	Loss: 0.0515	LR: 0.020000
Training Epoch: 8 [38912/47500]	Loss: 0.0542	LR: 0.020000
Training Epoch: 8 [39168/47500]	Loss: 0.0558	LR: 0.020000
Training Epoch: 8 [39424/47500]	Loss: 0.0241	LR: 0.020000
Training Epoch: 8 [39680/47500]	Loss: 0.0266	LR: 0.020000
Training Epoch: 8 [39936/47500]	Loss: 0.0561	LR: 0.020000
Training Epoch: 8 [40192/47500]	Loss: 0.0159	LR: 0.020000
Training Epoch: 8 [40448/47500]	Loss: 0.0316	LR: 0.020000
Training Epoch: 8 [40704/47500]	Loss: 0.0947	LR: 0.020000
Training Epoch: 8 [40960/47500]	Loss: 0.0238	LR: 0.020000
Training Epoch: 8 [41216/47500]	Loss: 0.0840	LR: 0.020000
Training Epoch: 8 [41472/47500]	Loss: 0.0480	LR: 0.020000
Training Epoch: 8 [41728/47500]	Loss: 0.0606	LR: 0.020000
Training Epoch: 8 [41984/47500]	Loss: 0.0267	LR: 0.020000
Training Epoch: 8 [42240/47500]	Loss: 0.0172	LR: 0.020000
Training Epoch: 8 [42496/47500]	Loss: 0.0492	LR: 0.020000
Training Epoch: 8 [42752/47500]	Loss: 0.0214	LR: 0.020000
Training Epoch: 8 [43008/47500]	Loss: 0.0363	LR: 0.020000
Training Epoch: 8 [43264/47500]	Loss: 0.0263	LR: 0.020000
Training Epoch: 8 [43520/47500]	Loss: 0.0316	LR: 0.020000
Training Epoch: 8 [43776/47500]	Loss: 0.0603	LR: 0.020000
Training Epoch: 8 [44032/47500]	Loss: 0.0368	LR: 0.020000
Training Epoch: 8 [44288/47500]	Loss: 0.0502	LR: 0.020000
Training Epoch: 8 [44544/47500]	Loss: 0.0482	LR: 0.020000
Training Epoch: 8 [44800/47500]	Loss: 0.0393	LR: 0.020000
Training Epoch: 8 [45056/47500]	Loss: 0.0558	LR: 0.020000
Training Epoch: 8 [45312/47500]	Loss: 0.0347	LR: 0.020000
Training Epoch: 8 [45568/47500]	Loss: 0.0707	LR: 0.020000
Training Epoch: 8 [45824/47500]	Loss: 0.0199	LR: 0.020000
Training Epoch: 8 [46080/47500]	Loss: 0.0261	LR: 0.020000
Training Epoch: 8 [46336/47500]	Loss: 0.0811	LR: 0.020000
Training Epoch: 8 [46592/47500]	Loss: 0.0333	LR: 0.020000
Training Epoch: 8 [46848/47500]	Loss: 0.0206	LR: 0.020000
Training Epoch: 8 [47104/47500]	Loss: 0.0289	LR: 0.020000
Training Epoch: 8 [47360/47500]	Loss: 0.0812	LR: 0.020000
Training Epoch: 8 [47500/47500]	Loss: 0.0247	LR: 0.020000
Epoch 8 - Average Train Loss: 0.0387, Train Accuracy: 0.9863
Epoch 8 training time consumed: 342.87s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0004, Accuracy: 0.9718, Time consumed:23.52s
Saving weights file to checkpoint/retrain/ViT/Saturday_19_July_2025_05h_08m_23s/ViT-Cifar10-seed10-ret50-8-best.pth
Valid (Test) Dl:  10000
Train Dl:  50000
Retain Train Dl:  47500
Forget Train Dl:  2500
Retain Valid Dl:  47500
Forget Valid Dl:  2500
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 2500 samples
Set1 Distribution: 2500 samples
Set2 Distribution: 2500 samples
Set1 Distribution: 2500 samples
Set2 Distribution: 2500 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Test Accuracy: 97.24609375
Retain Accuracy: 98.76091766357422
Zero-Retain Forget (ZRF): 0.7642687559127808
Membership Inference Attack (MIA): 0.828
Forget vs Retain Membership Inference Attack (MIA): 0.515
Forget vs Test Membership Inference Attack (MIA): 0.531
Test vs Retain Membership Inference Attack (MIA): 0.5025
Train vs Test Membership Inference Attack (MIA): 0.515
Forget Set Accuracy (Df): 95.47512817382812
Method Execution Time: 5325.97 seconds
