
Retain class distribution for seed 2:
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

Forget class distribution for seed 2:
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
⚠️ Warning: Retain train loader may not be shuffled.
Training Epoch: 1 [256/47500]	Loss: 2.4302	LR: 0.000000
Training Epoch: 1 [512/47500]	Loss: 2.4164	LR: 0.000538
Training Epoch: 1 [768/47500]	Loss: 2.4503	LR: 0.001075
Training Epoch: 1 [1024/47500]	Loss: 2.3894	LR: 0.001613
Training Epoch: 1 [1280/47500]	Loss: 2.2937	LR: 0.002151
Training Epoch: 1 [1536/47500]	Loss: 2.2742	LR: 0.002688
Training Epoch: 1 [1792/47500]	Loss: 2.2216	LR: 0.003226
Training Epoch: 1 [2048/47500]	Loss: 2.2722	LR: 0.003763
Training Epoch: 1 [2304/47500]	Loss: 2.2838	LR: 0.004301
Training Epoch: 1 [2560/47500]	Loss: 2.2104	LR: 0.004839
Training Epoch: 1 [2816/47500]	Loss: 2.2300	LR: 0.005376
Training Epoch: 1 [3072/47500]	Loss: 2.1921	LR: 0.005914
Training Epoch: 1 [3328/47500]	Loss: 2.2427	LR: 0.006452
Training Epoch: 1 [3584/47500]	Loss: 2.0858	LR: 0.006989
Training Epoch: 1 [3840/47500]	Loss: 1.9641	LR: 0.007527
Training Epoch: 1 [4096/47500]	Loss: 2.0933	LR: 0.008065
Training Epoch: 1 [4352/47500]	Loss: 2.1059	LR: 0.008602
Training Epoch: 1 [4608/47500]	Loss: 2.0149	LR: 0.009140
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Training Epoch: 1 [5120/47500]	Loss: 2.0486	LR: 0.010215
Training Epoch: 1 [5376/47500]	Loss: 1.9413	LR: 0.010753
Training Epoch: 1 [5632/47500]	Loss: 1.9300	LR: 0.011290
Training Epoch: 1 [5888/47500]	Loss: 2.0359	LR: 0.011828
Training Epoch: 1 [6144/47500]	Loss: 1.8803	LR: 0.012366
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Training Epoch: 1 [6656/47500]	Loss: 1.8513	LR: 0.013441
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Training Epoch: 1 [7168/47500]	Loss: 2.0192	LR: 0.014516
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Training Epoch: 1 [7680/47500]	Loss: 1.9022	LR: 0.015591
Training Epoch: 1 [7936/47500]	Loss: 1.8608	LR: 0.016129
Training Epoch: 1 [8192/47500]	Loss: 1.8234	LR: 0.016667
Training Epoch: 1 [8448/47500]	Loss: 1.8416	LR: 0.017204
Training Epoch: 1 [8704/47500]	Loss: 1.7879	LR: 0.017742
Training Epoch: 1 [8960/47500]	Loss: 1.9269	LR: 0.018280
Training Epoch: 1 [9216/47500]	Loss: 1.8041	LR: 0.018817
Training Epoch: 1 [9472/47500]	Loss: 1.8088	LR: 0.019355
Training Epoch: 1 [9728/47500]	Loss: 1.8443	LR: 0.019892
Training Epoch: 1 [9984/47500]	Loss: 1.8089	LR: 0.020430
Training Epoch: 1 [10240/47500]	Loss: 1.8936	LR: 0.020968
Training Epoch: 1 [10496/47500]	Loss: 1.7465	LR: 0.021505
Training Epoch: 1 [10752/47500]	Loss: 1.8009	LR: 0.022043
Training Epoch: 1 [11008/47500]	Loss: 1.8540	LR: 0.022581
Training Epoch: 1 [11264/47500]	Loss: 1.6782	LR: 0.023118
Training Epoch: 1 [11520/47500]	Loss: 1.9362	LR: 0.023656
Training Epoch: 1 [11776/47500]	Loss: 1.7714	LR: 0.024194
Training Epoch: 1 [12032/47500]	Loss: 1.8428	LR: 0.024731
Training Epoch: 1 [12288/47500]	Loss: 1.8380	LR: 0.025269
Training Epoch: 1 [12544/47500]	Loss: 1.8116	LR: 0.025806
Training Epoch: 1 [12800/47500]	Loss: 1.8849	LR: 0.026344
Training Epoch: 1 [13056/47500]	Loss: 1.7620	LR: 0.026882
Training Epoch: 1 [13312/47500]	Loss: 1.7197	LR: 0.027419
Training Epoch: 1 [13568/47500]	Loss: 1.7576	LR: 0.027957
Training Epoch: 1 [13824/47500]	Loss: 1.8424	LR: 0.028495
Training Epoch: 1 [14080/47500]	Loss: 1.7520	LR: 0.029032
Training Epoch: 1 [14336/47500]	Loss: 1.7785	LR: 0.029570
Training Epoch: 1 [14592/47500]	Loss: 1.6734	LR: 0.030108
Training Epoch: 1 [14848/47500]	Loss: 1.6809	LR: 0.030645
Training Epoch: 1 [15104/47500]	Loss: 1.7939	LR: 0.031183
Training Epoch: 1 [15360/47500]	Loss: 1.7413	LR: 0.031720
Training Epoch: 1 [15616/47500]	Loss: 2.0880	LR: 0.032258
Training Epoch: 1 [15872/47500]	Loss: 1.7445	LR: 0.032796
Training Epoch: 1 [16128/47500]	Loss: 1.8050	LR: 0.033333
Training Epoch: 1 [16384/47500]	Loss: 1.7058	LR: 0.033871
Training Epoch: 1 [16640/47500]	Loss: 1.6175	LR: 0.034409
Training Epoch: 1 [16896/47500]	Loss: 1.6909	LR: 0.034946
Training Epoch: 1 [17152/47500]	Loss: 1.7520	LR: 0.035484
Training Epoch: 1 [17408/47500]	Loss: 1.7390	LR: 0.036022
Training Epoch: 1 [17664/47500]	Loss: 1.6326	LR: 0.036559
Training Epoch: 1 [17920/47500]	Loss: 1.6489	LR: 0.037097
Training Epoch: 1 [18176/47500]	Loss: 1.6630	LR: 0.037634
Training Epoch: 1 [18432/47500]	Loss: 1.5701	LR: 0.038172
Training Epoch: 1 [18688/47500]	Loss: 1.6600	LR: 0.038710
Training Epoch: 1 [18944/47500]	Loss: 1.7100	LR: 0.039247
Training Epoch: 1 [19200/47500]	Loss: 1.8189	LR: 0.039785
Training Epoch: 1 [19456/47500]	Loss: 1.7252	LR: 0.040323
Training Epoch: 1 [19712/47500]	Loss: 1.7403	LR: 0.040860
Training Epoch: 1 [19968/47500]	Loss: 1.7305	LR: 0.041398
Training Epoch: 1 [20224/47500]	Loss: 1.6390	LR: 0.041935
Training Epoch: 1 [20480/47500]	Loss: 1.8371	LR: 0.042473
Training Epoch: 1 [20736/47500]	Loss: 1.7031	LR: 0.043011
Training Epoch: 1 [20992/47500]	Loss: 1.7727	LR: 0.043548
Training Epoch: 1 [21248/47500]	Loss: 1.7890	LR: 0.044086
Training Epoch: 1 [21504/47500]	Loss: 1.5635	LR: 0.044624
Training Epoch: 1 [21760/47500]	Loss: 1.8686	LR: 0.045161
Training Epoch: 1 [22016/47500]	Loss: 1.6327	LR: 0.045699
Training Epoch: 1 [22272/47500]	Loss: 1.6979	LR: 0.046237
Training Epoch: 1 [22528/47500]	Loss: 1.7254	LR: 0.046774
Training Epoch: 1 [22784/47500]	Loss: 1.6226	LR: 0.047312
Training Epoch: 1 [23040/47500]	Loss: 1.6654	LR: 0.047849
Training Epoch: 1 [23296/47500]	Loss: 1.6274	LR: 0.048387
Training Epoch: 1 [23552/47500]	Loss: 1.5968	LR: 0.048925
Training Epoch: 1 [23808/47500]	Loss: 1.4716	LR: 0.049462
Training Epoch: 1 [24064/47500]	Loss: 1.6590	LR: 0.050000
Training Epoch: 1 [24320/47500]	Loss: 1.5873	LR: 0.050538
Training Epoch: 1 [24576/47500]	Loss: 1.5846	LR: 0.051075
Training Epoch: 1 [24832/47500]	Loss: 1.7080	LR: 0.051613
Training Epoch: 1 [25088/47500]	Loss: 1.6373	LR: 0.052151
Training Epoch: 1 [25344/47500]	Loss: 1.7334	LR: 0.052688
Training Epoch: 1 [25600/47500]	Loss: 1.6046	LR: 0.053226
Training Epoch: 1 [25856/47500]	Loss: 1.6251	LR: 0.053763
Training Epoch: 1 [26112/47500]	Loss: 1.5269	LR: 0.054301
Training Epoch: 1 [26368/47500]	Loss: 1.5972	LR: 0.054839
Training Epoch: 1 [26624/47500]	Loss: 1.6119	LR: 0.055376
Training Epoch: 1 [26880/47500]	Loss: 1.7099	LR: 0.055914
Training Epoch: 1 [27136/47500]	Loss: 1.6022	LR: 0.056452
Training Epoch: 1 [27392/47500]	Loss: 1.5557	LR: 0.056989
Training Epoch: 1 [27648/47500]	Loss: 1.7001	LR: 0.057527
Training Epoch: 1 [27904/47500]	Loss: 1.7459	LR: 0.058065
Training Epoch: 1 [28160/47500]	Loss: 1.6746	LR: 0.058602
Training Epoch: 1 [28416/47500]	Loss: 1.5552	LR: 0.059140
Training Epoch: 1 [28672/47500]	Loss: 1.7070	LR: 0.059677
Training Epoch: 1 [28928/47500]	Loss: 1.5945	LR: 0.060215
Training Epoch: 1 [29184/47500]	Loss: 1.5933	LR: 0.060753
Training Epoch: 1 [29440/47500]	Loss: 1.6098	LR: 0.061290
Training Epoch: 1 [29696/47500]	Loss: 1.7584	LR: 0.061828
Training Epoch: 1 [29952/47500]	Loss: 1.6067	LR: 0.062366
Training Epoch: 1 [30208/47500]	Loss: 1.6593	LR: 0.062903
Training Epoch: 1 [30464/47500]	Loss: 1.4128	LR: 0.063441
Training Epoch: 1 [30720/47500]	Loss: 1.5900	LR: 0.063978
Training Epoch: 1 [30976/47500]	Loss: 1.4645	LR: 0.064516
Training Epoch: 1 [31232/47500]	Loss: 1.6017	LR: 0.065054
Training Epoch: 1 [31488/47500]	Loss: 1.5429	LR: 0.065591
Training Epoch: 1 [31744/47500]	Loss: 1.4862	LR: 0.066129
Training Epoch: 1 [32000/47500]	Loss: 1.5709	LR: 0.066667
Training Epoch: 1 [32256/47500]	Loss: 1.6021	LR: 0.067204
Training Epoch: 1 [32512/47500]	Loss: 1.7043	LR: 0.067742
Training Epoch: 1 [32768/47500]	Loss: 1.6404	LR: 0.068280
Training Epoch: 1 [33024/47500]	Loss: 1.5703	LR: 0.068817
Training Epoch: 1 [33280/47500]	Loss: 1.5464	LR: 0.069355
Training Epoch: 1 [33536/47500]	Loss: 1.4790	LR: 0.069892
Training Epoch: 1 [33792/47500]	Loss: 1.5645	LR: 0.070430
Training Epoch: 1 [34048/47500]	Loss: 1.5632	LR: 0.070968
Training Epoch: 1 [34304/47500]	Loss: 1.5256	LR: 0.071505
Training Epoch: 1 [34560/47500]	Loss: 1.5988	LR: 0.072043
Training Epoch: 1 [34816/47500]	Loss: 1.6298	LR: 0.072581
Training Epoch: 1 [35072/47500]	Loss: 1.5874	LR: 0.073118
Training Epoch: 1 [35328/47500]	Loss: 1.5336	LR: 0.073656
Training Epoch: 1 [35584/47500]	Loss: 1.5242	LR: 0.074194
Training Epoch: 1 [35840/47500]	Loss: 1.5037	LR: 0.074731
Training Epoch: 1 [36096/47500]	Loss: 1.4886	LR: 0.075269
Training Epoch: 1 [36352/47500]	Loss: 1.5090	LR: 0.075806
Training Epoch: 1 [36608/47500]	Loss: 1.5891	LR: 0.076344
Training Epoch: 1 [36864/47500]	Loss: 1.4992	LR: 0.076882
Training Epoch: 1 [37120/47500]	Loss: 1.4628	LR: 0.077419
Training Epoch: 1 [37376/47500]	Loss: 1.5403	LR: 0.077957
Training Epoch: 1 [37632/47500]	Loss: 1.5801	LR: 0.078495
Training Epoch: 1 [37888/47500]	Loss: 1.4376	LR: 0.079032
Training Epoch: 1 [38144/47500]	Loss: 1.4821	LR: 0.079570
Training Epoch: 1 [38400/47500]	Loss: 1.3773	LR: 0.080108
Training Epoch: 1 [38656/47500]	Loss: 1.5040	LR: 0.080645
Training Epoch: 1 [38912/47500]	Loss: 1.4950	LR: 0.081183
Training Epoch: 1 [39168/47500]	Loss: 1.4781	LR: 0.081720
Training Epoch: 1 [39424/47500]	Loss: 1.5314	LR: 0.082258
Training Epoch: 1 [39680/47500]	Loss: 1.5236	LR: 0.082796
Training Epoch: 1 [39936/47500]	Loss: 1.5074	LR: 0.083333
Training Epoch: 1 [40192/47500]	Loss: 1.3690	LR: 0.083871
Training Epoch: 1 [40448/47500]	Loss: 1.6499	LR: 0.084409
Training Epoch: 1 [40704/47500]	Loss: 1.6988	LR: 0.084946
Training Epoch: 1 [40960/47500]	Loss: 1.4671	LR: 0.085484
Training Epoch: 1 [41216/47500]	Loss: 1.6940	LR: 0.086022
Training Epoch: 1 [41472/47500]	Loss: 1.5119	LR: 0.086559
Training Epoch: 1 [41728/47500]	Loss: 1.5023	LR: 0.087097
Training Epoch: 1 [41984/47500]	Loss: 1.4256	LR: 0.087634
Training Epoch: 1 [42240/47500]	Loss: 1.7210	LR: 0.088172
Training Epoch: 1 [42496/47500]	Loss: 1.5455	LR: 0.088710
Training Epoch: 1 [42752/47500]	Loss: 1.4462	LR: 0.089247
Training Epoch: 1 [43008/47500]	Loss: 1.3931	LR: 0.089785
Training Epoch: 1 [43264/47500]	Loss: 1.4038	LR: 0.090323
Training Epoch: 1 [43520/47500]	Loss: 1.4425	LR: 0.090860
Training Epoch: 1 [43776/47500]	Loss: 1.4596	LR: 0.091398
Training Epoch: 1 [44032/47500]	Loss: 1.4648	LR: 0.091935
Training Epoch: 1 [44288/47500]	Loss: 1.5914	LR: 0.092473
Training Epoch: 1 [44544/47500]	Loss: 1.3454	LR: 0.093011
Training Epoch: 1 [44800/47500]	Loss: 1.3117	LR: 0.093548
Training Epoch: 1 [45056/47500]	Loss: 1.4724	LR: 0.094086
Training Epoch: 1 [45312/47500]	Loss: 1.5172	LR: 0.094624
Training Epoch: 1 [45568/47500]	Loss: 1.3819	LR: 0.095161
Training Epoch: 1 [45824/47500]	Loss: 1.4218	LR: 0.095699
Training Epoch: 1 [46080/47500]	Loss: 1.3818	LR: 0.096237
Training Epoch: 1 [46336/47500]	Loss: 1.4879	LR: 0.096774
Training Epoch: 1 [46592/47500]	Loss: 1.4411	LR: 0.097312
Training Epoch: 1 [46848/47500]	Loss: 1.3834	LR: 0.097849
Training Epoch: 1 [47104/47500]	Loss: 1.3949	LR: 0.098387
Training Epoch: 1 [47360/47500]	Loss: 1.5063	LR: 0.098925
Training Epoch: 1 [47500/47500]	Loss: 1.3523	LR: 0.099462
Epoch 1 - Average Train Loss: 1.7062, Train Accuracy: 0.3777
Epoch 1 training time consumed: 28.91s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0104, Accuracy: 0.3822, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_11h_42m_31s/ResNet18-Cifar10-seed2-ret50-1-best.pth
Training Epoch: 2 [256/47500]	Loss: 1.5215	LR: 0.100000
Training Epoch: 2 [512/47500]	Loss: 1.4275	LR: 0.100000
Training Epoch: 2 [768/47500]	Loss: 1.2333	LR: 0.100000
Training Epoch: 2 [1024/47500]	Loss: 1.4235	LR: 0.100000
Training Epoch: 2 [1280/47500]	Loss: 1.4121	LR: 0.100000
Training Epoch: 2 [1536/47500]	Loss: 1.5152	LR: 0.100000
Training Epoch: 2 [1792/47500]	Loss: 1.5472	LR: 0.100000
Training Epoch: 2 [2048/47500]	Loss: 1.4928	LR: 0.100000
Training Epoch: 2 [2304/47500]	Loss: 1.6552	LR: 0.100000
Training Epoch: 2 [2560/47500]	Loss: 1.4875	LR: 0.100000
Training Epoch: 2 [2816/47500]	Loss: 1.4359	LR: 0.100000
Training Epoch: 2 [3072/47500]	Loss: 1.5518	LR: 0.100000
Training Epoch: 2 [3328/47500]	Loss: 1.4012	LR: 0.100000
Training Epoch: 2 [3584/47500]	Loss: 1.3442	LR: 0.100000
Training Epoch: 2 [3840/47500]	Loss: 1.4373	LR: 0.100000
Training Epoch: 2 [4096/47500]	Loss: 1.3913	LR: 0.100000
Training Epoch: 2 [4352/47500]	Loss: 1.3787	LR: 0.100000
Training Epoch: 2 [4608/47500]	Loss: 1.5383	LR: 0.100000
Training Epoch: 2 [4864/47500]	Loss: 1.2561	LR: 0.100000
Training Epoch: 2 [5120/47500]	Loss: 1.4245	LR: 0.100000
Training Epoch: 2 [5376/47500]	Loss: 1.3323	LR: 0.100000
Training Epoch: 2 [5632/47500]	Loss: 1.3812	LR: 0.100000
Training Epoch: 2 [5888/47500]	Loss: 1.2391	LR: 0.100000
Training Epoch: 2 [6144/47500]	Loss: 1.3172	LR: 0.100000
Training Epoch: 2 [6400/47500]	Loss: 1.2864	LR: 0.100000
Training Epoch: 2 [6656/47500]	Loss: 1.2875	LR: 0.100000
Training Epoch: 2 [6912/47500]	Loss: 1.3331	LR: 0.100000
Training Epoch: 2 [7168/47500]	Loss: 1.3393	LR: 0.100000
Training Epoch: 2 [7424/47500]	Loss: 1.4245	LR: 0.100000
Training Epoch: 2 [7680/47500]	Loss: 1.5210	LR: 0.100000
Training Epoch: 2 [7936/47500]	Loss: 1.3102	LR: 0.100000
Training Epoch: 2 [8192/47500]	Loss: 1.2648	LR: 0.100000
Training Epoch: 2 [8448/47500]	Loss: 1.4772	LR: 0.100000
Training Epoch: 2 [8704/47500]	Loss: 1.2498	LR: 0.100000
Training Epoch: 2 [8960/47500]	Loss: 1.2355	LR: 0.100000
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Training Epoch: 2 [9472/47500]	Loss: 1.2964	LR: 0.100000
Training Epoch: 2 [9728/47500]	Loss: 1.3865	LR: 0.100000
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Training Epoch: 2 [10240/47500]	Loss: 1.2156	LR: 0.100000
Training Epoch: 2 [10496/47500]	Loss: 1.2857	LR: 0.100000
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Training Epoch: 2 [11008/47500]	Loss: 1.2385	LR: 0.100000
Training Epoch: 2 [11264/47500]	Loss: 1.3964	LR: 0.100000
Training Epoch: 2 [11520/47500]	Loss: 1.5183	LR: 0.100000
Training Epoch: 2 [11776/47500]	Loss: 1.4368	LR: 0.100000
Training Epoch: 2 [12032/47500]	Loss: 1.3571	LR: 0.100000
Training Epoch: 2 [12288/47500]	Loss: 1.2390	LR: 0.100000
Training Epoch: 2 [12544/47500]	Loss: 1.2949	LR: 0.100000
Training Epoch: 2 [12800/47500]	Loss: 1.2421	LR: 0.100000
Training Epoch: 2 [13056/47500]	Loss: 1.1470	LR: 0.100000
Training Epoch: 2 [13312/47500]	Loss: 1.3431	LR: 0.100000
Training Epoch: 2 [13568/47500]	Loss: 1.1949	LR: 0.100000
Training Epoch: 2 [13824/47500]	Loss: 1.2795	LR: 0.100000
Training Epoch: 2 [14080/47500]	Loss: 1.1763	LR: 0.100000
Training Epoch: 2 [14336/47500]	Loss: 1.3075	LR: 0.100000
Training Epoch: 2 [14592/47500]	Loss: 1.2686	LR: 0.100000
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Training Epoch: 2 [15104/47500]	Loss: 1.2374	LR: 0.100000
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Training Epoch: 2 [16128/47500]	Loss: 1.2912	LR: 0.100000
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Training Epoch: 2 [16640/47500]	Loss: 1.2690	LR: 0.100000
Training Epoch: 2 [16896/47500]	Loss: 1.2532	LR: 0.100000
Training Epoch: 2 [17152/47500]	Loss: 1.2152	LR: 0.100000
Training Epoch: 2 [17408/47500]	Loss: 1.2203	LR: 0.100000
Training Epoch: 2 [17664/47500]	Loss: 1.1522	LR: 0.100000
Training Epoch: 2 [17920/47500]	Loss: 1.2104	LR: 0.100000
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Training Epoch: 2 [18432/47500]	Loss: 1.3812	LR: 0.100000
Training Epoch: 2 [18688/47500]	Loss: 1.2719	LR: 0.100000
Training Epoch: 2 [18944/47500]	Loss: 1.3218	LR: 0.100000
Training Epoch: 2 [19200/47500]	Loss: 1.3140	LR: 0.100000
Training Epoch: 2 [19456/47500]	Loss: 1.2121	LR: 0.100000
Training Epoch: 2 [19712/47500]	Loss: 1.1718	LR: 0.100000
Training Epoch: 2 [19968/47500]	Loss: 1.1728	LR: 0.100000
Training Epoch: 2 [20224/47500]	Loss: 1.2331	LR: 0.100000
Training Epoch: 2 [20480/47500]	Loss: 1.1426	LR: 0.100000
Training Epoch: 2 [20736/47500]	Loss: 1.0373	LR: 0.100000
Training Epoch: 2 [20992/47500]	Loss: 1.0884	LR: 0.100000
Training Epoch: 2 [21248/47500]	Loss: 1.2321	LR: 0.100000
Training Epoch: 2 [21504/47500]	Loss: 1.1371	LR: 0.100000
Training Epoch: 2 [21760/47500]	Loss: 1.1235	LR: 0.100000
Training Epoch: 2 [22016/47500]	Loss: 1.3425	LR: 0.100000
Training Epoch: 2 [22272/47500]	Loss: 1.1676	LR: 0.100000
Training Epoch: 2 [22528/47500]	Loss: 1.1124	LR: 0.100000
Training Epoch: 2 [22784/47500]	Loss: 1.1846	LR: 0.100000
Training Epoch: 2 [23040/47500]	Loss: 1.2837	LR: 0.100000
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Training Epoch: 2 [47360/47500]	Loss: 1.0158	LR: 0.100000
Training Epoch: 2 [47500/47500]	Loss: 1.3345	LR: 0.100000
Epoch 2 - Average Train Loss: 1.2090, Train Accuracy: 0.5664
Epoch 2 training time consumed: 28.50s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0057, Accuracy: 0.5450, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_11h_42m_31s/ResNet18-Cifar10-seed2-ret50-2-best.pth
Training Epoch: 3 [256/47500]	Loss: 1.1495	LR: 0.100000
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Training Epoch: 3 [47500/47500]	Loss: 0.8470	LR: 0.100000
Epoch 3 - Average Train Loss: 0.9567, Train Accuracy: 0.6637
Epoch 3 training time consumed: 28.40s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0034, Accuracy: 0.7030, Time consumed:0.98s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_11h_42m_31s/ResNet18-Cifar10-seed2-ret50-3-best.pth
Training Epoch: 4 [256/47500]	Loss: 0.8535	LR: 0.100000
Training Epoch: 4 [512/47500]	Loss: 0.8558	LR: 0.100000
Training Epoch: 4 [768/47500]	Loss: 0.7331	LR: 0.100000
Training Epoch: 4 [1024/47500]	Loss: 0.7874	LR: 0.100000
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Training Epoch: 4 [2048/47500]	Loss: 0.9741	LR: 0.100000
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Epoch 4 - Average Train Loss: 0.8003, Train Accuracy: 0.7179
Epoch 4 training time consumed: 28.39s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0035, Accuracy: 0.7155, Time consumed:1.53s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_11h_42m_31s/ResNet18-Cifar10-seed2-ret50-4-best.pth
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Training Epoch: 5 [47500/47500]	Loss: 0.6876	LR: 0.100000
Epoch 5 - Average Train Loss: 0.7170, Train Accuracy: 0.7500
Epoch 5 training time consumed: 28.97s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0031, Accuracy: 0.7372, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_11h_42m_31s/ResNet18-Cifar10-seed2-ret50-5-best.pth
Training Epoch: 6 [256/47500]	Loss: 0.6298	LR: 0.100000
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Epoch 6 - Average Train Loss: 0.6438, Train Accuracy: 0.7743
Epoch 6 training time consumed: 28.73s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0027, Accuracy: 0.7674, Time consumed:0.99s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_11h_42m_31s/ResNet18-Cifar10-seed2-ret50-6-best.pth
Training Epoch: 7 [256/47500]	Loss: 0.5259	LR: 0.100000
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Training Epoch: 7 [47500/47500]	Loss: 0.5472	LR: 0.100000
Epoch 7 - Average Train Loss: 0.6008, Train Accuracy: 0.7923
Epoch 7 training time consumed: 28.58s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0025, Accuracy: 0.7890, Time consumed:0.98s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_11h_42m_31s/ResNet18-Cifar10-seed2-ret50-7-best.pth
Training Epoch: 8 [256/47500]	Loss: 0.5323	LR: 0.020000
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Training Epoch: 8 [47500/47500]	Loss: 0.2749	LR: 0.020000
Epoch 8 - Average Train Loss: 0.4477, Train Accuracy: 0.8454
Epoch 8 training time consumed: 28.70s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0016, Accuracy: 0.8578, Time consumed:1.00s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_11h_42m_31s/ResNet18-Cifar10-seed2-ret50-8-best.pth
Training Epoch: 9 [256/47500]	Loss: 0.4100	LR: 0.020000
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Training Epoch: 9 [47500/47500]	Loss: 0.4350	LR: 0.020000
Epoch 9 - Average Train Loss: 0.4025, Train Accuracy: 0.8604
Epoch 9 training time consumed: 28.54s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0017, Accuracy: 0.8536, Time consumed:1.05s
Training Epoch: 10 [256/47500]	Loss: 0.3006	LR: 0.020000
Training Epoch: 10 [512/47500]	Loss: 0.3515	LR: 0.020000
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Training Epoch: 10 [47500/47500]	Loss: 0.3989	LR: 0.020000
Epoch 10 - Average Train Loss: 0.3829, Train Accuracy: 0.8657
Epoch 10 training time consumed: 28.69s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0015, Accuracy: 0.8693, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_11h_42m_31s/ResNet18-Cifar10-seed2-ret50-10-best.pth
Training Epoch: 11 [256/47500]	Loss: 0.3604	LR: 0.020000
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Training Epoch: 11 [47360/47500]	Loss: 0.4493	LR: 0.020000
Training Epoch: 11 [47500/47500]	Loss: 0.3840	LR: 0.020000
Epoch 11 - Average Train Loss: 0.3665, Train Accuracy: 0.8734
Epoch 11 training time consumed: 28.78s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0017, Accuracy: 0.8575, Time consumed:0.99s
Training Epoch: 12 [256/47500]	Loss: 0.3031	LR: 0.004000
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Training Epoch: 12 [47360/47500]	Loss: 0.3737	LR: 0.004000
Training Epoch: 12 [47500/47500]	Loss: 0.3173	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3168, Train Accuracy: 0.8877
Epoch 12 training time consumed: 28.69s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0014, Accuracy: 0.8818, Time consumed:1.00s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_11h_42m_31s/ResNet18-Cifar10-seed2-ret50-12-best.pth
Training Epoch: 13 [256/47500]	Loss: 0.2873	LR: 0.004000
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Training Epoch: 13 [47500/47500]	Loss: 0.2834	LR: 0.004000
Epoch 13 - Average Train Loss: 0.3014, Train Accuracy: 0.8951
Epoch 13 training time consumed: 28.72s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0014, Accuracy: 0.8835, Time consumed:1.03s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_11h_42m_31s/ResNet18-Cifar10-seed2-ret50-13-best.pth
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Training Epoch: 14 [47360/47500]	Loss: 0.2474	LR: 0.004000
Training Epoch: 14 [47500/47500]	Loss: 0.4660	LR: 0.004000
Epoch 14 - Average Train Loss: 0.2951, Train Accuracy: 0.8968
Epoch 14 training time consumed: 28.74s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0014, Accuracy: 0.8811, Time consumed:0.99s
Training Epoch: 15 [256/47500]	Loss: 0.2425	LR: 0.004000
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Training Epoch: 15 [47500/47500]	Loss: 0.3270	LR: 0.004000
Epoch 15 - Average Train Loss: 0.2895, Train Accuracy: 0.8990
Epoch 15 training time consumed: 28.59s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0013, Accuracy: 0.8863, Time consumed:0.98s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_11h_42m_31s/ResNet18-Cifar10-seed2-ret50-15-best.pth
Training Epoch: 16 [256/47500]	Loss: 0.2682	LR: 0.000800
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Training Epoch: 16 [47500/47500]	Loss: 0.3304	LR: 0.000800
Epoch 16 - Average Train Loss: 0.2751, Train Accuracy: 0.9045
Epoch 16 training time consumed: 28.77s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0013, Accuracy: 0.8880, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_11h_42m_31s/ResNet18-Cifar10-seed2-ret50-16-best.pth
Training Epoch: 17 [256/47500]	Loss: 0.3472	LR: 0.000800
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Training Epoch: 17 [45312/47500]	Loss: 0.3186	LR: 0.000800
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Training Epoch: 17 [45824/47500]	Loss: 0.2606	LR: 0.000800
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Training Epoch: 17 [46336/47500]	Loss: 0.2760	LR: 0.000800
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Training Epoch: 17 [47104/47500]	Loss: 0.2008	LR: 0.000800
Training Epoch: 17 [47360/47500]	Loss: 0.2237	LR: 0.000800
Training Epoch: 17 [47500/47500]	Loss: 0.2952	LR: 0.000800
Epoch 17 - Average Train Loss: 0.2725, Train Accuracy: 0.9039
Epoch 17 training time consumed: 28.70s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0013, Accuracy: 0.8894, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_11h_42m_31s/ResNet18-Cifar10-seed2-ret50-17-best.pth
Training Epoch: 18 [256/47500]	Loss: 0.2498	LR: 0.000800
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Training Epoch: 18 [46592/47500]	Loss: 0.2655	LR: 0.000800
Training Epoch: 18 [46848/47500]	Loss: 0.2658	LR: 0.000800
Training Epoch: 18 [47104/47500]	Loss: 0.2952	LR: 0.000800
Training Epoch: 18 [47360/47500]	Loss: 0.2601	LR: 0.000800
Training Epoch: 18 [47500/47500]	Loss: 0.2015	LR: 0.000800
Epoch 18 - Average Train Loss: 0.2704, Train Accuracy: 0.9073
Epoch 18 training time consumed: 28.81s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0013, Accuracy: 0.8903, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_11h_42m_31s/ResNet18-Cifar10-seed2-ret50-18-best.pth
Training Epoch: 19 [256/47500]	Loss: 0.3164	LR: 0.000800
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Training Epoch: 19 [1024/47500]	Loss: 0.2572	LR: 0.000800
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Training Epoch: 19 [1536/47500]	Loss: 0.2617	LR: 0.000800
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Training Epoch: 19 [22016/47500]	Loss: 0.2956	LR: 0.000800
Training Epoch: 19 [22272/47500]	Loss: 0.2564	LR: 0.000800
Training Epoch: 19 [22528/47500]	Loss: 0.2553	LR: 0.000800
Training Epoch: 19 [22784/47500]	Loss: 0.3101	LR: 0.000800
Training Epoch: 19 [23040/47500]	Loss: 0.2402	LR: 0.000800
Training Epoch: 19 [23296/47500]	Loss: 0.2341	LR: 0.000800
Training Epoch: 19 [23552/47500]	Loss: 0.2529	LR: 0.000800
Training Epoch: 19 [23808/47500]	Loss: 0.2372	LR: 0.000800
Training Epoch: 19 [24064/47500]	Loss: 0.2958	LR: 0.000800
Training Epoch: 19 [24320/47500]	Loss: 0.2334	LR: 0.000800
Training Epoch: 19 [24576/47500]	Loss: 0.2424	LR: 0.000800
Training Epoch: 19 [24832/47500]	Loss: 0.2368	LR: 0.000800
Training Epoch: 19 [25088/47500]	Loss: 0.2687	LR: 0.000800
Training Epoch: 19 [25344/47500]	Loss: 0.2764	LR: 0.000800
Training Epoch: 19 [25600/47500]	Loss: 0.2383	LR: 0.000800
Training Epoch: 19 [25856/47500]	Loss: 0.3462	LR: 0.000800
Training Epoch: 19 [26112/47500]	Loss: 0.2174	LR: 0.000800
Training Epoch: 19 [26368/47500]	Loss: 0.2834	LR: 0.000800
Training Epoch: 19 [26624/47500]	Loss: 0.3834	LR: 0.000800
Training Epoch: 19 [26880/47500]	Loss: 0.2250	LR: 0.000800
Training Epoch: 19 [27136/47500]	Loss: 0.2780	LR: 0.000800
Training Epoch: 19 [27392/47500]	Loss: 0.2382	LR: 0.000800
Training Epoch: 19 [27648/47500]	Loss: 0.2306	LR: 0.000800
Training Epoch: 19 [27904/47500]	Loss: 0.2876	LR: 0.000800
Training Epoch: 19 [28160/47500]	Loss: 0.3409	LR: 0.000800
Training Epoch: 19 [28416/47500]	Loss: 0.2535	LR: 0.000800
Training Epoch: 19 [28672/47500]	Loss: 0.3474	LR: 0.000800
Training Epoch: 19 [28928/47500]	Loss: 0.2323	LR: 0.000800
Training Epoch: 19 [29184/47500]	Loss: 0.2714	LR: 0.000800
Training Epoch: 19 [29440/47500]	Loss: 0.2723	LR: 0.000800
Training Epoch: 19 [29696/47500]	Loss: 0.2588	LR: 0.000800
Training Epoch: 19 [29952/47500]	Loss: 0.2987	LR: 0.000800
Training Epoch: 19 [30208/47500]	Loss: 0.2438	LR: 0.000800
Training Epoch: 19 [30464/47500]	Loss: 0.2586	LR: 0.000800
Training Epoch: 19 [30720/47500]	Loss: 0.2495	LR: 0.000800
Training Epoch: 19 [30976/47500]	Loss: 0.2291	LR: 0.000800
Training Epoch: 19 [31232/47500]	Loss: 0.2532	LR: 0.000800
Training Epoch: 19 [31488/47500]	Loss: 0.2592	LR: 0.000800
Training Epoch: 19 [31744/47500]	Loss: 0.3735	LR: 0.000800
Training Epoch: 19 [32000/47500]	Loss: 0.1748	LR: 0.000800
Training Epoch: 19 [32256/47500]	Loss: 0.3057	LR: 0.000800
Training Epoch: 19 [32512/47500]	Loss: 0.2570	LR: 0.000800
Training Epoch: 19 [32768/47500]	Loss: 0.2304	LR: 0.000800
Training Epoch: 19 [33024/47500]	Loss: 0.2971	LR: 0.000800
Training Epoch: 19 [33280/47500]	Loss: 0.2746	LR: 0.000800
Training Epoch: 19 [33536/47500]	Loss: 0.3604	LR: 0.000800
Training Epoch: 19 [33792/47500]	Loss: 0.3273	LR: 0.000800
Training Epoch: 19 [34048/47500]	Loss: 0.2276	LR: 0.000800
Training Epoch: 19 [34304/47500]	Loss: 0.3341	LR: 0.000800
Training Epoch: 19 [34560/47500]	Loss: 0.2524	LR: 0.000800
Training Epoch: 19 [34816/47500]	Loss: 0.2861	LR: 0.000800
Training Epoch: 19 [35072/47500]	Loss: 0.2389	LR: 0.000800
Training Epoch: 19 [35328/47500]	Loss: 0.3074	LR: 0.000800
Training Epoch: 19 [35584/47500]	Loss: 0.2904	LR: 0.000800
Training Epoch: 19 [35840/47500]	Loss: 0.2711	LR: 0.000800
Training Epoch: 19 [36096/47500]	Loss: 0.1963	LR: 0.000800
Training Epoch: 19 [36352/47500]	Loss: 0.2299	LR: 0.000800
Training Epoch: 19 [36608/47500]	Loss: 0.2173	LR: 0.000800
Training Epoch: 19 [36864/47500]	Loss: 0.2108	LR: 0.000800
Training Epoch: 19 [37120/47500]	Loss: 0.3318	LR: 0.000800
Training Epoch: 19 [37376/47500]	Loss: 0.3397	LR: 0.000800
Training Epoch: 19 [37632/47500]	Loss: 0.2807	LR: 0.000800
Training Epoch: 19 [37888/47500]	Loss: 0.3297	LR: 0.000800
Training Epoch: 19 [38144/47500]	Loss: 0.2357	LR: 0.000800
Training Epoch: 19 [38400/47500]	Loss: 0.2054	LR: 0.000800
Training Epoch: 19 [38656/47500]	Loss: 0.2795	LR: 0.000800
Training Epoch: 19 [38912/47500]	Loss: 0.2801	LR: 0.000800
Training Epoch: 19 [39168/47500]	Loss: 0.3389	LR: 0.000800
Training Epoch: 19 [39424/47500]	Loss: 0.2742	LR: 0.000800
Training Epoch: 19 [39680/47500]	Loss: 0.2524	LR: 0.000800
Training Epoch: 19 [39936/47500]	Loss: 0.2836	LR: 0.000800
Training Epoch: 19 [40192/47500]	Loss: 0.2263	LR: 0.000800
Training Epoch: 19 [40448/47500]	Loss: 0.2518	LR: 0.000800
Training Epoch: 19 [40704/47500]	Loss: 0.2506	LR: 0.000800
Training Epoch: 19 [40960/47500]	Loss: 0.2725	LR: 0.000800
Training Epoch: 19 [41216/47500]	Loss: 0.2130	LR: 0.000800
Training Epoch: 19 [41472/47500]	Loss: 0.2990	LR: 0.000800
Training Epoch: 19 [41728/47500]	Loss: 0.2190	LR: 0.000800
Training Epoch: 19 [41984/47500]	Loss: 0.2077	LR: 0.000800
Training Epoch: 19 [42240/47500]	Loss: 0.2986	LR: 0.000800
Training Epoch: 19 [42496/47500]	Loss: 0.2486	LR: 0.000800
Training Epoch: 19 [42752/47500]	Loss: 0.2923	LR: 0.000800
Training Epoch: 19 [43008/47500]	Loss: 0.3450	LR: 0.000800
Training Epoch: 19 [43264/47500]	Loss: 0.2241	LR: 0.000800
Training Epoch: 19 [43520/47500]	Loss: 0.2504	LR: 0.000800
Training Epoch: 19 [43776/47500]	Loss: 0.2466	LR: 0.000800
Training Epoch: 19 [44032/47500]	Loss: 0.2955	LR: 0.000800
Training Epoch: 19 [44288/47500]	Loss: 0.2534	LR: 0.000800
Training Epoch: 19 [44544/47500]	Loss: 0.3170	LR: 0.000800
Training Epoch: 19 [44800/47500]	Loss: 0.3006	LR: 0.000800
Training Epoch: 19 [45056/47500]	Loss: 0.2810	LR: 0.000800
Training Epoch: 19 [45312/47500]	Loss: 0.3438	LR: 0.000800
Training Epoch: 19 [45568/47500]	Loss: 0.3216	LR: 0.000800
Training Epoch: 19 [45824/47500]	Loss: 0.2391	LR: 0.000800
Training Epoch: 19 [46080/47500]	Loss: 0.3549	LR: 0.000800
Training Epoch: 19 [46336/47500]	Loss: 0.3230	LR: 0.000800
Training Epoch: 19 [46592/47500]	Loss: 0.1997	LR: 0.000800
Training Epoch: 19 [46848/47500]	Loss: 0.3560	LR: 0.000800
Training Epoch: 19 [47104/47500]	Loss: 0.2982	LR: 0.000800
Training Epoch: 19 [47360/47500]	Loss: 0.3085	LR: 0.000800
Training Epoch: 19 [47500/47500]	Loss: 0.2508	LR: 0.000800
Epoch 19 - Average Train Loss: 0.2686, Train Accuracy: 0.9068
Epoch 19 training time consumed: 28.70s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0013, Accuracy: 0.8901, Time consumed:0.94s
Training Epoch: 20 [256/47500]	Loss: 0.2055	LR: 0.000800
Training Epoch: 20 [512/47500]	Loss: 0.3409	LR: 0.000800
Training Epoch: 20 [768/47500]	Loss: 0.3192	LR: 0.000800
Training Epoch: 20 [1024/47500]	Loss: 0.2636	LR: 0.000800
Training Epoch: 20 [1280/47500]	Loss: 0.2122	LR: 0.000800
Training Epoch: 20 [1536/47500]	Loss: 0.2249	LR: 0.000800
Training Epoch: 20 [1792/47500]	Loss: 0.2313	LR: 0.000800
Training Epoch: 20 [2048/47500]	Loss: 0.2986	LR: 0.000800
Training Epoch: 20 [2304/47500]	Loss: 0.2523	LR: 0.000800
Training Epoch: 20 [2560/47500]	Loss: 0.2993	LR: 0.000800
Training Epoch: 20 [2816/47500]	Loss: 0.2593	LR: 0.000800
Training Epoch: 20 [3072/47500]	Loss: 0.3302	LR: 0.000800
Training Epoch: 20 [3328/47500]	Loss: 0.2290	LR: 0.000800
Training Epoch: 20 [3584/47500]	Loss: 0.2579	LR: 0.000800
Training Epoch: 20 [3840/47500]	Loss: 0.2849	LR: 0.000800
Training Epoch: 20 [4096/47500]	Loss: 0.2604	LR: 0.000800
Training Epoch: 20 [4352/47500]	Loss: 0.2711	LR: 0.000800
Training Epoch: 20 [4608/47500]	Loss: 0.2906	LR: 0.000800
Training Epoch: 20 [4864/47500]	Loss: 0.2623	LR: 0.000800
Training Epoch: 20 [5120/47500]	Loss: 0.3288	LR: 0.000800
Training Epoch: 20 [5376/47500]	Loss: 0.2160	LR: 0.000800
Training Epoch: 20 [5632/47500]	Loss: 0.2617	LR: 0.000800
Training Epoch: 20 [5888/47500]	Loss: 0.2212	LR: 0.000800
Training Epoch: 20 [6144/47500]	Loss: 0.2719	LR: 0.000800
Training Epoch: 20 [6400/47500]	Loss: 0.2729	LR: 0.000800
Training Epoch: 20 [6656/47500]	Loss: 0.2524	LR: 0.000800
Training Epoch: 20 [6912/47500]	Loss: 0.3130	LR: 0.000800
Training Epoch: 20 [7168/47500]	Loss: 0.2731	LR: 0.000800
Training Epoch: 20 [7424/47500]	Loss: 0.2672	LR: 0.000800
Training Epoch: 20 [7680/47500]	Loss: 0.2826	LR: 0.000800
Training Epoch: 20 [7936/47500]	Loss: 0.3021	LR: 0.000800
Training Epoch: 20 [8192/47500]	Loss: 0.3539	LR: 0.000800
Training Epoch: 20 [8448/47500]	Loss: 0.2198	LR: 0.000800
Training Epoch: 20 [8704/47500]	Loss: 0.2706	LR: 0.000800
Training Epoch: 20 [8960/47500]	Loss: 0.2954	LR: 0.000800
Training Epoch: 20 [9216/47500]	Loss: 0.2491	LR: 0.000800
Training Epoch: 20 [9472/47500]	Loss: 0.3133	LR: 0.000800
Training Epoch: 20 [9728/47500]	Loss: 0.2858	LR: 0.000800
Training Epoch: 20 [9984/47500]	Loss: 0.2528	LR: 0.000800
Training Epoch: 20 [10240/47500]	Loss: 0.3214	LR: 0.000800
Training Epoch: 20 [10496/47500]	Loss: 0.3003	LR: 0.000800
Training Epoch: 20 [10752/47500]	Loss: 0.2659	LR: 0.000800
Training Epoch: 20 [11008/47500]	Loss: 0.3059	LR: 0.000800
Training Epoch: 20 [11264/47500]	Loss: 0.3062	LR: 0.000800
Training Epoch: 20 [11520/47500]	Loss: 0.2951	LR: 0.000800
Training Epoch: 20 [11776/47500]	Loss: 0.2076	LR: 0.000800
Training Epoch: 20 [12032/47500]	Loss: 0.2226	LR: 0.000800
Training Epoch: 20 [12288/47500]	Loss: 0.2555	LR: 0.000800
Training Epoch: 20 [12544/47500]	Loss: 0.2276	LR: 0.000800
Training Epoch: 20 [12800/47500]	Loss: 0.2977	LR: 0.000800
Training Epoch: 20 [13056/47500]	Loss: 0.2783	LR: 0.000800
Training Epoch: 20 [13312/47500]	Loss: 0.3319	LR: 0.000800
Training Epoch: 20 [13568/47500]	Loss: 0.2921	LR: 0.000800
Training Epoch: 20 [13824/47500]	Loss: 0.2943	LR: 0.000800
Training Epoch: 20 [14080/47500]	Loss: 0.2275	LR: 0.000800
Training Epoch: 20 [14336/47500]	Loss: 0.3464	LR: 0.000800
Training Epoch: 20 [14592/47500]	Loss: 0.2316	LR: 0.000800
Training Epoch: 20 [14848/47500]	Loss: 0.2069	LR: 0.000800
Training Epoch: 20 [15104/47500]	Loss: 0.3001	LR: 0.000800
Training Epoch: 20 [15360/47500]	Loss: 0.2525	LR: 0.000800
Training Epoch: 20 [15616/47500]	Loss: 0.2707	LR: 0.000800
Training Epoch: 20 [15872/47500]	Loss: 0.3040	LR: 0.000800
Training Epoch: 20 [16128/47500]	Loss: 0.1566	LR: 0.000800
Training Epoch: 20 [16384/47500]	Loss: 0.2425	LR: 0.000800
Training Epoch: 20 [16640/47500]	Loss: 0.2931	LR: 0.000800
Training Epoch: 20 [16896/47500]	Loss: 0.2513	LR: 0.000800
Training Epoch: 20 [17152/47500]	Loss: 0.3105	LR: 0.000800
Training Epoch: 20 [17408/47500]	Loss: 0.1940	LR: 0.000800
Training Epoch: 20 [17664/47500]	Loss: 0.3587	LR: 0.000800
Training Epoch: 20 [17920/47500]	Loss: 0.2572	LR: 0.000800
Training Epoch: 20 [18176/47500]	Loss: 0.2732	LR: 0.000800
Training Epoch: 20 [18432/47500]	Loss: 0.2906	LR: 0.000800
Training Epoch: 20 [18688/47500]	Loss: 0.2229	LR: 0.000800
Training Epoch: 20 [18944/47500]	Loss: 0.2627	LR: 0.000800
Training Epoch: 20 [19200/47500]	Loss: 0.2067	LR: 0.000800
Training Epoch: 20 [19456/47500]	Loss: 0.2108	LR: 0.000800
Training Epoch: 20 [19712/47500]	Loss: 0.2302	LR: 0.000800
Training Epoch: 20 [19968/47500]	Loss: 0.2371	LR: 0.000800
Training Epoch: 20 [20224/47500]	Loss: 0.2650	LR: 0.000800
Training Epoch: 20 [20480/47500]	Loss: 0.2868	LR: 0.000800
Training Epoch: 20 [20736/47500]	Loss: 0.2953	LR: 0.000800
Training Epoch: 20 [20992/47500]	Loss: 0.2204	LR: 0.000800
Training Epoch: 20 [21248/47500]	Loss: 0.3460	LR: 0.000800
Training Epoch: 20 [21504/47500]	Loss: 0.2579	LR: 0.000800
Training Epoch: 20 [21760/47500]	Loss: 0.2001	LR: 0.000800
Training Epoch: 20 [22016/47500]	Loss: 0.2893	LR: 0.000800
Training Epoch: 20 [22272/47500]	Loss: 0.2882	LR: 0.000800
Training Epoch: 20 [22528/47500]	Loss: 0.3194	LR: 0.000800
Training Epoch: 20 [22784/47500]	Loss: 0.2685	LR: 0.000800
Training Epoch: 20 [23040/47500]	Loss: 0.2217	LR: 0.000800
Training Epoch: 20 [23296/47500]	Loss: 0.2406	LR: 0.000800
Training Epoch: 20 [23552/47500]	Loss: 0.2777	LR: 0.000800
Training Epoch: 20 [23808/47500]	Loss: 0.2341	LR: 0.000800
Training Epoch: 20 [24064/47500]	Loss: 0.2566	LR: 0.000800
Training Epoch: 20 [24320/47500]	Loss: 0.2260	LR: 0.000800
Training Epoch: 20 [24576/47500]	Loss: 0.2148	LR: 0.000800
Training Epoch: 20 [24832/47500]	Loss: 0.2217	LR: 0.000800
Training Epoch: 20 [25088/47500]	Loss: 0.3143	LR: 0.000800
Training Epoch: 20 [25344/47500]	Loss: 0.2631	LR: 0.000800
Training Epoch: 20 [25600/47500]	Loss: 0.2334	LR: 0.000800
Training Epoch: 20 [25856/47500]	Loss: 0.2273	LR: 0.000800
Training Epoch: 20 [26112/47500]	Loss: 0.2809	LR: 0.000800
Training Epoch: 20 [26368/47500]	Loss: 0.3129	LR: 0.000800
Training Epoch: 20 [26624/47500]	Loss: 0.3021	LR: 0.000800
Training Epoch: 20 [26880/47500]	Loss: 0.2621	LR: 0.000800
Training Epoch: 20 [27136/47500]	Loss: 0.2254	LR: 0.000800
Training Epoch: 20 [27392/47500]	Loss: 0.2569	LR: 0.000800
Training Epoch: 20 [27648/47500]	Loss: 0.2907	LR: 0.000800
Training Epoch: 20 [27904/47500]	Loss: 0.2503	LR: 0.000800
Training Epoch: 20 [28160/47500]	Loss: 0.2707	LR: 0.000800
Training Epoch: 20 [28416/47500]	Loss: 0.2622	LR: 0.000800
Training Epoch: 20 [28672/47500]	Loss: 0.2036	LR: 0.000800
Training Epoch: 20 [28928/47500]	Loss: 0.2532	LR: 0.000800
Training Epoch: 20 [29184/47500]	Loss: 0.2405	LR: 0.000800
Training Epoch: 20 [29440/47500]	Loss: 0.2089	LR: 0.000800
Training Epoch: 20 [29696/47500]	Loss: 0.2547	LR: 0.000800
Training Epoch: 20 [29952/47500]	Loss: 0.2371	LR: 0.000800
Training Epoch: 20 [30208/47500]	Loss: 0.2581	LR: 0.000800
Training Epoch: 20 [30464/47500]	Loss: 0.2053	LR: 0.000800
Training Epoch: 20 [30720/47500]	Loss: 0.2912	LR: 0.000800
Training Epoch: 20 [30976/47500]	Loss: 0.2709	LR: 0.000800
Training Epoch: 20 [31232/47500]	Loss: 0.2478	LR: 0.000800
Training Epoch: 20 [31488/47500]	Loss: 0.2105	LR: 0.000800
Training Epoch: 20 [31744/47500]	Loss: 0.2196	LR: 0.000800
Training Epoch: 20 [32000/47500]	Loss: 0.2280	LR: 0.000800
Training Epoch: 20 [32256/47500]	Loss: 0.2128	LR: 0.000800
Training Epoch: 20 [32512/47500]	Loss: 0.2731	LR: 0.000800
Training Epoch: 20 [32768/47500]	Loss: 0.2746	LR: 0.000800
Training Epoch: 20 [33024/47500]	Loss: 0.2749	LR: 0.000800
Training Epoch: 20 [33280/47500]	Loss: 0.2432	LR: 0.000800
Training Epoch: 20 [33536/47500]	Loss: 0.2492	LR: 0.000800
Training Epoch: 20 [33792/47500]	Loss: 0.3097	LR: 0.000800
Training Epoch: 20 [34048/47500]	Loss: 0.2999	LR: 0.000800
Training Epoch: 20 [34304/47500]	Loss: 0.3092	LR: 0.000800
Training Epoch: 20 [34560/47500]	Loss: 0.2904	LR: 0.000800
Training Epoch: 20 [34816/47500]	Loss: 0.2693	LR: 0.000800
Training Epoch: 20 [35072/47500]	Loss: 0.1815	LR: 0.000800
Training Epoch: 20 [35328/47500]	Loss: 0.2943	LR: 0.000800
Training Epoch: 20 [35584/47500]	Loss: 0.2625	LR: 0.000800
Training Epoch: 20 [35840/47500]	Loss: 0.2477	LR: 0.000800
Training Epoch: 20 [36096/47500]	Loss: 0.2670	LR: 0.000800
Training Epoch: 20 [36352/47500]	Loss: 0.2584	LR: 0.000800
Training Epoch: 20 [36608/47500]	Loss: 0.2348	LR: 0.000800
Training Epoch: 20 [36864/47500]	Loss: 0.3203	LR: 0.000800
Training Epoch: 20 [37120/47500]	Loss: 0.3163	LR: 0.000800
Training Epoch: 20 [37376/47500]	Loss: 0.2529	LR: 0.000800
Training Epoch: 20 [37632/47500]	Loss: 0.3736	LR: 0.000800
Training Epoch: 20 [37888/47500]	Loss: 0.2307	LR: 0.000800
Training Epoch: 20 [38144/47500]	Loss: 0.2603	LR: 0.000800
Training Epoch: 20 [38400/47500]	Loss: 0.2511	LR: 0.000800
Training Epoch: 20 [38656/47500]	Loss: 0.2620	LR: 0.000800
Training Epoch: 20 [38912/47500]	Loss: 0.3500	LR: 0.000800
Training Epoch: 20 [39168/47500]	Loss: 0.2154	LR: 0.000800
Training Epoch: 20 [39424/47500]	Loss: 0.3053	LR: 0.000800
Training Epoch: 20 [39680/47500]	Loss: 0.2975	LR: 0.000800
Training Epoch: 20 [39936/47500]	Loss: 0.3353	LR: 0.000800
Training Epoch: 20 [40192/47500]	Loss: 0.2945	LR: 0.000800
Training Epoch: 20 [40448/47500]	Loss: 0.2225	LR: 0.000800
Training Epoch: 20 [40704/47500]	Loss: 0.2366	LR: 0.000800
Training Epoch: 20 [40960/47500]	Loss: 0.2782	LR: 0.000800
Training Epoch: 20 [41216/47500]	Loss: 0.2716	LR: 0.000800
Training Epoch: 20 [41472/47500]	Loss: 0.3139	LR: 0.000800
Training Epoch: 20 [41728/47500]	Loss: 0.2971	LR: 0.000800
Training Epoch: 20 [41984/47500]	Loss: 0.2097	LR: 0.000800
Training Epoch: 20 [42240/47500]	Loss: 0.2265	LR: 0.000800
Training Epoch: 20 [42496/47500]	Loss: 0.2131	LR: 0.000800
Training Epoch: 20 [42752/47500]	Loss: 0.2450	LR: 0.000800
Training Epoch: 20 [43008/47500]	Loss: 0.2757	LR: 0.000800
Training Epoch: 20 [43264/47500]	Loss: 0.2749	LR: 0.000800
Training Epoch: 20 [43520/47500]	Loss: 0.2595	LR: 0.000800
Training Epoch: 20 [43776/47500]	Loss: 0.2784	LR: 0.000800
Training Epoch: 20 [44032/47500]	Loss: 0.3108	LR: 0.000800
Training Epoch: 20 [44288/47500]	Loss: 0.2518	LR: 0.000800
Training Epoch: 20 [44544/47500]	Loss: 0.2836	LR: 0.000800
Training Epoch: 20 [44800/47500]	Loss: 0.2787	LR: 0.000800
Training Epoch: 20 [45056/47500]	Loss: 0.3069	LR: 0.000800
Training Epoch: 20 [45312/47500]	Loss: 0.2810	LR: 0.000800
Training Epoch: 20 [45568/47500]	Loss: 0.2986	LR: 0.000800
Training Epoch: 20 [45824/47500]	Loss: 0.2172	LR: 0.000800
Training Epoch: 20 [46080/47500]	Loss: 0.3248	LR: 0.000800
Training Epoch: 20 [46336/47500]	Loss: 0.2989	LR: 0.000800
Training Epoch: 20 [46592/47500]	Loss: 0.2973	LR: 0.000800
Training Epoch: 20 [46848/47500]	Loss: 0.3126	LR: 0.000800
Training Epoch: 20 [47104/47500]	Loss: 0.3059	LR: 0.000800
Training Epoch: 20 [47360/47500]	Loss: 0.2530	LR: 0.000800
Training Epoch: 20 [47500/47500]	Loss: 0.4146	LR: 0.000800
Epoch 20 - Average Train Loss: 0.2674, Train Accuracy: 0.9065
Epoch 20 training time consumed: 28.75s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0013, Accuracy: 0.8896, Time consumed:0.96s
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
MIA Attack Accuracy with XGBoost: 0.7550
Set1 Distribution: 2500 samples
Set2 Distribution: 2500 samples
MIA Attack Accuracy with XGBoost: 0.5080
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
MIA Attack Accuracy with XGBoost: 0.6623
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
MIA Attack Accuracy with XGBoost: 0.5105
Test Accuracy: 91.552734375
Retain Accuracy: 94.10887908935547
Zero-Retain Forget (ZRF): 0.8273884654045105
Membership Inference Attack (MIA): 0.6828
Forget vs Retain Membership Inference Attack (MIA): 0.755
Forget vs Test Membership Inference Attack (MIA): 0.508
Test vs Retain Membership Inference Attack (MIA): 0.66225
Train vs Test Membership Inference Attack (MIA): 0.5105
Forget Set Accuracy (Df): 94.30006408691406
Method Execution Time: 2346.00 seconds
