
Retain class distribution for seed 1:
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 1:
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: 2.4065	LR: 0.000000
Training Epoch: 1 [512/47500]	Loss: 2.3451	LR: 0.000538
Training Epoch: 1 [768/47500]	Loss: 2.3590	LR: 0.001075
Training Epoch: 1 [1024/47500]	Loss: 2.4026	LR: 0.001613
Training Epoch: 1 [1280/47500]	Loss: 2.3087	LR: 0.002151
Training Epoch: 1 [1536/47500]	Loss: 2.2764	LR: 0.002688
Training Epoch: 1 [1792/47500]	Loss: 2.2137	LR: 0.003226
Training Epoch: 1 [2048/47500]	Loss: 2.2746	LR: 0.003763
Training Epoch: 1 [2304/47500]	Loss: 2.2418	LR: 0.004301
Training Epoch: 1 [2560/47500]	Loss: 2.2849	LR: 0.004839
Training Epoch: 1 [2816/47500]	Loss: 2.2450	LR: 0.005376
Training Epoch: 1 [3072/47500]	Loss: 2.1153	LR: 0.005914
Training Epoch: 1 [3328/47500]	Loss: 2.2495	LR: 0.006452
Training Epoch: 1 [3584/47500]	Loss: 2.0964	LR: 0.006989
Training Epoch: 1 [3840/47500]	Loss: 2.0572	LR: 0.007527
Training Epoch: 1 [4096/47500]	Loss: 2.0590	LR: 0.008065
Training Epoch: 1 [4352/47500]	Loss: 2.0738	LR: 0.008602
Training Epoch: 1 [4608/47500]	Loss: 2.0320	LR: 0.009140
Training Epoch: 1 [4864/47500]	Loss: 1.9485	LR: 0.009677
Training Epoch: 1 [5120/47500]	Loss: 2.0255	LR: 0.010215
Training Epoch: 1 [5376/47500]	Loss: 2.0402	LR: 0.010753
Training Epoch: 1 [5632/47500]	Loss: 1.8803	LR: 0.011290
Training Epoch: 1 [5888/47500]	Loss: 1.8728	LR: 0.011828
Training Epoch: 1 [6144/47500]	Loss: 1.9261	LR: 0.012366
Training Epoch: 1 [6400/47500]	Loss: 1.8332	LR: 0.012903
Training Epoch: 1 [6656/47500]	Loss: 1.8381	LR: 0.013441
Training Epoch: 1 [6912/47500]	Loss: 1.8500	LR: 0.013978
Training Epoch: 1 [7168/47500]	Loss: 1.9282	LR: 0.014516
Training Epoch: 1 [7424/47500]	Loss: 1.9061	LR: 0.015054
Training Epoch: 1 [7680/47500]	Loss: 1.9722	LR: 0.015591
Training Epoch: 1 [7936/47500]	Loss: 1.7950	LR: 0.016129
Training Epoch: 1 [8192/47500]	Loss: 1.8460	LR: 0.016667
Training Epoch: 1 [8448/47500]	Loss: 1.7839	LR: 0.017204
Training Epoch: 1 [8704/47500]	Loss: 1.8721	LR: 0.017742
Training Epoch: 1 [8960/47500]	Loss: 1.7240	LR: 0.018280
Training Epoch: 1 [9216/47500]	Loss: 1.8357	LR: 0.018817
Training Epoch: 1 [9472/47500]	Loss: 1.8334	LR: 0.019355
Training Epoch: 1 [9728/47500]	Loss: 1.7631	LR: 0.019892
Training Epoch: 1 [9984/47500]	Loss: 1.8382	LR: 0.020430
Training Epoch: 1 [10240/47500]	Loss: 1.7212	LR: 0.020968
Training Epoch: 1 [10496/47500]	Loss: 1.8835	LR: 0.021505
Training Epoch: 1 [10752/47500]	Loss: 1.7169	LR: 0.022043
Training Epoch: 1 [11008/47500]	Loss: 1.8865	LR: 0.022581
Training Epoch: 1 [11264/47500]	Loss: 1.7697	LR: 0.023118
Training Epoch: 1 [11520/47500]	Loss: 1.7290	LR: 0.023656
Training Epoch: 1 [11776/47500]	Loss: 1.7356	LR: 0.024194
Training Epoch: 1 [12032/47500]	Loss: 1.9195	LR: 0.024731
Training Epoch: 1 [12288/47500]	Loss: 1.9502	LR: 0.025269
Training Epoch: 1 [12544/47500]	Loss: 1.6613	LR: 0.025806
Training Epoch: 1 [12800/47500]	Loss: 1.8425	LR: 0.026344
Training Epoch: 1 [13056/47500]	Loss: 1.8886	LR: 0.026882
Training Epoch: 1 [13312/47500]	Loss: 1.7496	LR: 0.027419
Training Epoch: 1 [13568/47500]	Loss: 1.8227	LR: 0.027957
Training Epoch: 1 [13824/47500]	Loss: 1.9332	LR: 0.028495
Training Epoch: 1 [14080/47500]	Loss: 1.8380	LR: 0.029032
Training Epoch: 1 [14336/47500]	Loss: 1.8251	LR: 0.029570
Training Epoch: 1 [14592/47500]	Loss: 1.7586	LR: 0.030108
Training Epoch: 1 [14848/47500]	Loss: 1.7370	LR: 0.030645
Training Epoch: 1 [15104/47500]	Loss: 1.7870	LR: 0.031183
Training Epoch: 1 [15360/47500]	Loss: 1.7049	LR: 0.031720
Training Epoch: 1 [15616/47500]	Loss: 1.7694	LR: 0.032258
Training Epoch: 1 [15872/47500]	Loss: 1.8282	LR: 0.032796
Training Epoch: 1 [16128/47500]	Loss: 1.8385	LR: 0.033333
Training Epoch: 1 [16384/47500]	Loss: 1.6300	LR: 0.033871
Training Epoch: 1 [16640/47500]	Loss: 1.8405	LR: 0.034409
Training Epoch: 1 [16896/47500]	Loss: 1.7742	LR: 0.034946
Training Epoch: 1 [17152/47500]	Loss: 1.7060	LR: 0.035484
Training Epoch: 1 [17408/47500]	Loss: 1.7185	LR: 0.036022
Training Epoch: 1 [17664/47500]	Loss: 1.7102	LR: 0.036559
Training Epoch: 1 [17920/47500]	Loss: 1.7094	LR: 0.037097
Training Epoch: 1 [18176/47500]	Loss: 1.6713	LR: 0.037634
Training Epoch: 1 [18432/47500]	Loss: 1.7233	LR: 0.038172
Training Epoch: 1 [18688/47500]	Loss: 1.7411	LR: 0.038710
Training Epoch: 1 [18944/47500]	Loss: 1.6183	LR: 0.039247
Training Epoch: 1 [19200/47500]	Loss: 1.6519	LR: 0.039785
Training Epoch: 1 [19456/47500]	Loss: 1.6384	LR: 0.040323
Training Epoch: 1 [19712/47500]	Loss: 1.6181	LR: 0.040860
Training Epoch: 1 [19968/47500]	Loss: 1.6945	LR: 0.041398
Training Epoch: 1 [20224/47500]	Loss: 1.5981	LR: 0.041935
Training Epoch: 1 [20480/47500]	Loss: 1.7473	LR: 0.042473
Training Epoch: 1 [20736/47500]	Loss: 1.5851	LR: 0.043011
Training Epoch: 1 [20992/47500]	Loss: 1.5667	LR: 0.043548
Training Epoch: 1 [21248/47500]	Loss: 1.7348	LR: 0.044086
Training Epoch: 1 [21504/47500]	Loss: 1.4930	LR: 0.044624
Training Epoch: 1 [21760/47500]	Loss: 1.6352	LR: 0.045161
Training Epoch: 1 [22016/47500]	Loss: 1.7048	LR: 0.045699
Training Epoch: 1 [22272/47500]	Loss: 1.7202	LR: 0.046237
Training Epoch: 1 [22528/47500]	Loss: 1.6481	LR: 0.046774
Training Epoch: 1 [22784/47500]	Loss: 1.7386	LR: 0.047312
Training Epoch: 1 [23040/47500]	Loss: 1.4586	LR: 0.047849
Training Epoch: 1 [23296/47500]	Loss: 1.4713	LR: 0.048387
Training Epoch: 1 [23552/47500]	Loss: 1.7550	LR: 0.048925
Training Epoch: 1 [23808/47500]	Loss: 1.5616	LR: 0.049462
Training Epoch: 1 [24064/47500]	Loss: 1.6509	LR: 0.050000
Training Epoch: 1 [24320/47500]	Loss: 1.3945	LR: 0.050538
Training Epoch: 1 [24576/47500]	Loss: 1.6163	LR: 0.051075
Training Epoch: 1 [24832/47500]	Loss: 1.6522	LR: 0.051613
Training Epoch: 1 [25088/47500]	Loss: 1.6709	LR: 0.052151
Training Epoch: 1 [25344/47500]	Loss: 1.5688	LR: 0.052688
Training Epoch: 1 [25600/47500]	Loss: 1.5000	LR: 0.053226
Training Epoch: 1 [25856/47500]	Loss: 1.6748	LR: 0.053763
Training Epoch: 1 [26112/47500]	Loss: 1.6651	LR: 0.054301
Training Epoch: 1 [26368/47500]	Loss: 1.5313	LR: 0.054839
Training Epoch: 1 [26624/47500]	Loss: 1.7169	LR: 0.055376
Training Epoch: 1 [26880/47500]	Loss: 1.5376	LR: 0.055914
Training Epoch: 1 [27136/47500]	Loss: 1.5821	LR: 0.056452
Training Epoch: 1 [27392/47500]	Loss: 1.5505	LR: 0.056989
Training Epoch: 1 [27648/47500]	Loss: 1.5684	LR: 0.057527
Training Epoch: 1 [27904/47500]	Loss: 1.7543	LR: 0.058065
Training Epoch: 1 [28160/47500]	Loss: 1.4753	LR: 0.058602
Training Epoch: 1 [28416/47500]	Loss: 1.5713	LR: 0.059140
Training Epoch: 1 [28672/47500]	Loss: 1.7251	LR: 0.059677
Training Epoch: 1 [28928/47500]	Loss: 1.4861	LR: 0.060215
Training Epoch: 1 [29184/47500]	Loss: 1.5432	LR: 0.060753
Training Epoch: 1 [29440/47500]	Loss: 1.5967	LR: 0.061290
Training Epoch: 1 [29696/47500]	Loss: 1.5775	LR: 0.061828
Training Epoch: 1 [29952/47500]	Loss: 1.5627	LR: 0.062366
Training Epoch: 1 [30208/47500]	Loss: 1.6360	LR: 0.062903
Training Epoch: 1 [30464/47500]	Loss: 1.5156	LR: 0.063441
Training Epoch: 1 [30720/47500]	Loss: 1.5591	LR: 0.063978
Training Epoch: 1 [30976/47500]	Loss: 1.5343	LR: 0.064516
Training Epoch: 1 [31232/47500]	Loss: 1.6553	LR: 0.065054
Training Epoch: 1 [31488/47500]	Loss: 1.5604	LR: 0.065591
Training Epoch: 1 [31744/47500]	Loss: 1.5281	LR: 0.066129
Training Epoch: 1 [32000/47500]	Loss: 1.4550	LR: 0.066667
Training Epoch: 1 [32256/47500]	Loss: 1.6400	LR: 0.067204
Training Epoch: 1 [32512/47500]	Loss: 1.5024	LR: 0.067742
Training Epoch: 1 [32768/47500]	Loss: 1.4911	LR: 0.068280
Training Epoch: 1 [33024/47500]	Loss: 1.6034	LR: 0.068817
Training Epoch: 1 [33280/47500]	Loss: 1.5190	LR: 0.069355
Training Epoch: 1 [33536/47500]	Loss: 1.5772	LR: 0.069892
Training Epoch: 1 [33792/47500]	Loss: 1.7915	LR: 0.070430
Training Epoch: 1 [34048/47500]	Loss: 1.4944	LR: 0.070968
Training Epoch: 1 [34304/47500]	Loss: 1.7548	LR: 0.071505
Training Epoch: 1 [34560/47500]	Loss: 1.7638	LR: 0.072043
Training Epoch: 1 [34816/47500]	Loss: 1.6997	LR: 0.072581
Training Epoch: 1 [35072/47500]	Loss: 1.6709	LR: 0.073118
Training Epoch: 1 [35328/47500]	Loss: 1.4208	LR: 0.073656
Training Epoch: 1 [35584/47500]	Loss: 1.5871	LR: 0.074194
Training Epoch: 1 [35840/47500]	Loss: 1.4700	LR: 0.074731
Training Epoch: 1 [36096/47500]	Loss: 1.5316	LR: 0.075269
Training Epoch: 1 [36352/47500]	Loss: 1.4118	LR: 0.075806
Training Epoch: 1 [36608/47500]	Loss: 1.6488	LR: 0.076344
Training Epoch: 1 [36864/47500]	Loss: 1.5768	LR: 0.076882
Training Epoch: 1 [37120/47500]	Loss: 1.5823	LR: 0.077419
Training Epoch: 1 [37376/47500]	Loss: 1.5276	LR: 0.077957
Training Epoch: 1 [37632/47500]	Loss: 1.4442	LR: 0.078495
Training Epoch: 1 [37888/47500]	Loss: 1.6483	LR: 0.079032
Training Epoch: 1 [38144/47500]	Loss: 1.5572	LR: 0.079570
Training Epoch: 1 [38400/47500]	Loss: 1.5286	LR: 0.080108
Training Epoch: 1 [38656/47500]	Loss: 1.4105	LR: 0.080645
Training Epoch: 1 [38912/47500]	Loss: 1.5451	LR: 0.081183
Training Epoch: 1 [39168/47500]	Loss: 1.4421	LR: 0.081720
Training Epoch: 1 [39424/47500]	Loss: 1.4606	LR: 0.082258
Training Epoch: 1 [39680/47500]	Loss: 1.4141	LR: 0.082796
Training Epoch: 1 [39936/47500]	Loss: 1.6076	LR: 0.083333
Training Epoch: 1 [40192/47500]	Loss: 1.4766	LR: 0.083871
Training Epoch: 1 [40448/47500]	Loss: 1.3829	LR: 0.084409
Training Epoch: 1 [40704/47500]	Loss: 1.3922	LR: 0.084946
Training Epoch: 1 [40960/47500]	Loss: 1.3749	LR: 0.085484
Training Epoch: 1 [41216/47500]	Loss: 1.3786	LR: 0.086022
Training Epoch: 1 [41472/47500]	Loss: 1.4403	LR: 0.086559
Training Epoch: 1 [41728/47500]	Loss: 1.5360	LR: 0.087097
Training Epoch: 1 [41984/47500]	Loss: 1.5797	LR: 0.087634
Training Epoch: 1 [42240/47500]	Loss: 1.4636	LR: 0.088172
Training Epoch: 1 [42496/47500]	Loss: 1.5016	LR: 0.088710
Training Epoch: 1 [42752/47500]	Loss: 1.4708	LR: 0.089247
Training Epoch: 1 [43008/47500]	Loss: 1.5128	LR: 0.089785
Training Epoch: 1 [43264/47500]	Loss: 1.4701	LR: 0.090323
Training Epoch: 1 [43520/47500]	Loss: 1.5131	LR: 0.090860
Training Epoch: 1 [43776/47500]	Loss: 1.5484	LR: 0.091398
Training Epoch: 1 [44032/47500]	Loss: 1.3983	LR: 0.091935
Training Epoch: 1 [44288/47500]	Loss: 1.5691	LR: 0.092473
Training Epoch: 1 [44544/47500]	Loss: 1.6221	LR: 0.093011
Training Epoch: 1 [44800/47500]	Loss: 1.4476	LR: 0.093548
Training Epoch: 1 [45056/47500]	Loss: 1.4651	LR: 0.094086
Training Epoch: 1 [45312/47500]	Loss: 1.3279	LR: 0.094624
Training Epoch: 1 [45568/47500]	Loss: 1.4928	LR: 0.095161
Training Epoch: 1 [45824/47500]	Loss: 1.3528	LR: 0.095699
Training Epoch: 1 [46080/47500]	Loss: 1.4146	LR: 0.096237
Training Epoch: 1 [46336/47500]	Loss: 1.6699	LR: 0.096774
Training Epoch: 1 [46592/47500]	Loss: 1.4717	LR: 0.097312
Training Epoch: 1 [46848/47500]	Loss: 1.3836	LR: 0.097849
Training Epoch: 1 [47104/47500]	Loss: 1.5121	LR: 0.098387
Training Epoch: 1 [47360/47500]	Loss: 1.5126	LR: 0.098925
Training Epoch: 1 [47500/47500]	Loss: 1.4323	LR: 0.099462
Epoch 1 - Average Train Loss: 1.6973, Train Accuracy: 0.3776
Epoch 1 training time consumed: 28.87s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0056, Accuracy: 0.5030, Time consumed:1.04s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_11h_02m_45s/ResNet18-Cifar10-seed1-ret50-1-best.pth
Training Epoch: 2 [256/47500]	Loss: 1.3073	LR: 0.100000
Training Epoch: 2 [512/47500]	Loss: 1.3798	LR: 0.100000
Training Epoch: 2 [768/47500]	Loss: 1.3754	LR: 0.100000
Training Epoch: 2 [1024/47500]	Loss: 1.5993	LR: 0.100000
Training Epoch: 2 [1280/47500]	Loss: 1.3322	LR: 0.100000
Training Epoch: 2 [1536/47500]	Loss: 1.4665	LR: 0.100000
Training Epoch: 2 [1792/47500]	Loss: 1.3581	LR: 0.100000
Training Epoch: 2 [2048/47500]	Loss: 1.3724	LR: 0.100000
Training Epoch: 2 [2304/47500]	Loss: 1.4366	LR: 0.100000
Training Epoch: 2 [2560/47500]	Loss: 1.3127	LR: 0.100000
Training Epoch: 2 [2816/47500]	Loss: 1.3473	LR: 0.100000
Training Epoch: 2 [3072/47500]	Loss: 1.5322	LR: 0.100000
Training Epoch: 2 [3328/47500]	Loss: 1.4756	LR: 0.100000
Training Epoch: 2 [3584/47500]	Loss: 1.3585	LR: 0.100000
Training Epoch: 2 [3840/47500]	Loss: 1.2066	LR: 0.100000
Training Epoch: 2 [4096/47500]	Loss: 1.4420	LR: 0.100000
Training Epoch: 2 [4352/47500]	Loss: 1.3892	LR: 0.100000
Training Epoch: 2 [4608/47500]	Loss: 1.2836	LR: 0.100000
Training Epoch: 2 [4864/47500]	Loss: 1.2443	LR: 0.100000
Training Epoch: 2 [5120/47500]	Loss: 1.3803	LR: 0.100000
Training Epoch: 2 [5376/47500]	Loss: 1.2741	LR: 0.100000
Training Epoch: 2 [5632/47500]	Loss: 1.4109	LR: 0.100000
Training Epoch: 2 [5888/47500]	Loss: 1.2826	LR: 0.100000
Training Epoch: 2 [6144/47500]	Loss: 1.4218	LR: 0.100000
Training Epoch: 2 [6400/47500]	Loss: 1.2027	LR: 0.100000
Training Epoch: 2 [6656/47500]	Loss: 1.4062	LR: 0.100000
Training Epoch: 2 [6912/47500]	Loss: 1.3771	LR: 0.100000
Training Epoch: 2 [7168/47500]	Loss: 1.3764	LR: 0.100000
Training Epoch: 2 [7424/47500]	Loss: 1.3516	LR: 0.100000
Training Epoch: 2 [7680/47500]	Loss: 1.5506	LR: 0.100000
Training Epoch: 2 [7936/47500]	Loss: 1.3534	LR: 0.100000
Training Epoch: 2 [8192/47500]	Loss: 1.4838	LR: 0.100000
Training Epoch: 2 [8448/47500]	Loss: 1.4084	LR: 0.100000
Training Epoch: 2 [8704/47500]	Loss: 1.4682	LR: 0.100000
Training Epoch: 2 [8960/47500]	Loss: 1.3662	LR: 0.100000
Training Epoch: 2 [9216/47500]	Loss: 1.5160	LR: 0.100000
Training Epoch: 2 [9472/47500]	Loss: 1.4698	LR: 0.100000
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Training Epoch: 2 [10240/47500]	Loss: 1.5504	LR: 0.100000
Training Epoch: 2 [10496/47500]	Loss: 1.3605	LR: 0.100000
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Training Epoch: 2 [11008/47500]	Loss: 1.4323	LR: 0.100000
Training Epoch: 2 [11264/47500]	Loss: 1.2527	LR: 0.100000
Training Epoch: 2 [11520/47500]	Loss: 1.3162	LR: 0.100000
Training Epoch: 2 [11776/47500]	Loss: 1.4925	LR: 0.100000
Training Epoch: 2 [12032/47500]	Loss: 1.3220	LR: 0.100000
Training Epoch: 2 [12288/47500]	Loss: 1.4683	LR: 0.100000
Training Epoch: 2 [12544/47500]	Loss: 1.4045	LR: 0.100000
Training Epoch: 2 [12800/47500]	Loss: 1.2986	LR: 0.100000
Training Epoch: 2 [13056/47500]	Loss: 1.3216	LR: 0.100000
Training Epoch: 2 [13312/47500]	Loss: 1.3110	LR: 0.100000
Training Epoch: 2 [13568/47500]	Loss: 1.3666	LR: 0.100000
Training Epoch: 2 [13824/47500]	Loss: 1.3649	LR: 0.100000
Training Epoch: 2 [14080/47500]	Loss: 1.2962	LR: 0.100000
Training Epoch: 2 [14336/47500]	Loss: 1.2978	LR: 0.100000
Training Epoch: 2 [14592/47500]	Loss: 1.1989	LR: 0.100000
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Training Epoch: 2 [16896/47500]	Loss: 1.3655	LR: 0.100000
Training Epoch: 2 [17152/47500]	Loss: 1.4943	LR: 0.100000
Training Epoch: 2 [17408/47500]	Loss: 1.1627	LR: 0.100000
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Training Epoch: 2 [17920/47500]	Loss: 1.1990	LR: 0.100000
Training Epoch: 2 [18176/47500]	Loss: 1.2785	LR: 0.100000
Training Epoch: 2 [18432/47500]	Loss: 1.2608	LR: 0.100000
Training Epoch: 2 [18688/47500]	Loss: 1.3944	LR: 0.100000
Training Epoch: 2 [18944/47500]	Loss: 1.3618	LR: 0.100000
Training Epoch: 2 [19200/47500]	Loss: 1.2025	LR: 0.100000
Training Epoch: 2 [19456/47500]	Loss: 1.2395	LR: 0.100000
Training Epoch: 2 [19712/47500]	Loss: 1.2680	LR: 0.100000
Training Epoch: 2 [19968/47500]	Loss: 1.3277	LR: 0.100000
Training Epoch: 2 [20224/47500]	Loss: 1.2535	LR: 0.100000
Training Epoch: 2 [20480/47500]	Loss: 1.1071	LR: 0.100000
Training Epoch: 2 [20736/47500]	Loss: 1.0557	LR: 0.100000
Training Epoch: 2 [20992/47500]	Loss: 1.1433	LR: 0.100000
Training Epoch: 2 [21248/47500]	Loss: 1.1898	LR: 0.100000
Training Epoch: 2 [21504/47500]	Loss: 1.1972	LR: 0.100000
Training Epoch: 2 [21760/47500]	Loss: 1.1368	LR: 0.100000
Training Epoch: 2 [22016/47500]	Loss: 1.1010	LR: 0.100000
Training Epoch: 2 [22272/47500]	Loss: 1.2993	LR: 0.100000
Training Epoch: 2 [22528/47500]	Loss: 1.1637	LR: 0.100000
Training Epoch: 2 [22784/47500]	Loss: 1.1885	LR: 0.100000
Training Epoch: 2 [23040/47500]	Loss: 1.0892	LR: 0.100000
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Training Epoch: 2 [47360/47500]	Loss: 1.0602	LR: 0.100000
Training Epoch: 2 [47500/47500]	Loss: 1.0252	LR: 0.100000
Epoch 2 - Average Train Loss: 1.2044, Train Accuracy: 0.5698
Epoch 2 training time consumed: 28.54s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0043, Accuracy: 0.6313, Time consumed:1.00s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_11h_02m_45s/ResNet18-Cifar10-seed1-ret50-2-best.pth
Training Epoch: 3 [256/47500]	Loss: 1.0537	LR: 0.100000
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Training Epoch: 3 [47500/47500]	Loss: 0.8333	LR: 0.100000
Epoch 3 - Average Train Loss: 0.9148, Train Accuracy: 0.6769
Epoch 3 training time consumed: 28.71s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0035, Accuracy: 0.6993, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_11h_02m_45s/ResNet18-Cifar10-seed1-ret50-3-best.pth
Training Epoch: 4 [256/47500]	Loss: 0.7874	LR: 0.100000
Training Epoch: 4 [512/47500]	Loss: 0.8572	LR: 0.100000
Training Epoch: 4 [768/47500]	Loss: 0.8411	LR: 0.100000
Training Epoch: 4 [1024/47500]	Loss: 0.8311	LR: 0.100000
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Training Epoch: 4 [1536/47500]	Loss: 0.8030	LR: 0.100000
Training Epoch: 4 [1792/47500]	Loss: 0.9534	LR: 0.100000
Training Epoch: 4 [2048/47500]	Loss: 0.8827	LR: 0.100000
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Epoch 4 - Average Train Loss: 0.7989, Train Accuracy: 0.7196
Epoch 4 training time consumed: 29.09s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0033, Accuracy: 0.7175, Time consumed:1.02s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_11h_02m_45s/ResNet18-Cifar10-seed1-ret50-4-best.pth
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Epoch 5 - Average Train Loss: 0.7120, Train Accuracy: 0.7506
Epoch 5 training time consumed: 28.81s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0030, Accuracy: 0.7533, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_11h_02m_45s/ResNet18-Cifar10-seed1-ret50-5-best.pth
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Epoch 6 - Average Train Loss: 0.6412, Train Accuracy: 0.7760
Epoch 6 training time consumed: 29.09s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0033, Accuracy: 0.7314, Time consumed:0.96s
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Training Epoch: 7 [47500/47500]	Loss: 0.6638	LR: 0.100000
Epoch 7 - Average Train Loss: 0.5993, Train Accuracy: 0.7924
Epoch 7 training time consumed: 29.11s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0024, Accuracy: 0.7932, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_11h_02m_45s/ResNet18-Cifar10-seed1-ret50-7-best.pth
Training Epoch: 8 [256/47500]	Loss: 0.5164	LR: 0.020000
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Training Epoch: 8 [47500/47500]	Loss: 0.3230	LR: 0.020000
Epoch 8 - Average Train Loss: 0.4434, Train Accuracy: 0.8455
Epoch 8 training time consumed: 29.08s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0017, Accuracy: 0.8581, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_11h_02m_45s/ResNet18-Cifar10-seed1-ret50-8-best.pth
Training Epoch: 9 [256/47500]	Loss: 0.4450	LR: 0.020000
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Training Epoch: 9 [47500/47500]	Loss: 0.3540	LR: 0.020000
Epoch 9 - Average Train Loss: 0.3984, Train Accuracy: 0.8609
Epoch 9 training time consumed: 28.86s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0016, Accuracy: 0.8666, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_11h_02m_45s/ResNet18-Cifar10-seed1-ret50-9-best.pth
Training Epoch: 10 [256/47500]	Loss: 0.3926	LR: 0.020000
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Training Epoch: 10 [768/47500]	Loss: 0.3902	LR: 0.020000
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Training Epoch: 10 [14080/47500]	Loss: 0.4790	LR: 0.020000
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Training Epoch: 10 [21504/47500]	Loss: 0.5154	LR: 0.020000
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Training Epoch: 10 [22016/47500]	Loss: 0.3409	LR: 0.020000
Training Epoch: 10 [22272/47500]	Loss: 0.3310	LR: 0.020000
Training Epoch: 10 [22528/47500]	Loss: 0.4106	LR: 0.020000
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Training Epoch: 10 [25856/47500]	Loss: 0.4546	LR: 0.020000
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Training Epoch: 10 [32512/47500]	Loss: 0.3163	LR: 0.020000
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Training Epoch: 10 [35328/47500]	Loss: 0.3963	LR: 0.020000
Training Epoch: 10 [35584/47500]	Loss: 0.3836	LR: 0.020000
Training Epoch: 10 [35840/47500]	Loss: 0.3441	LR: 0.020000
Training Epoch: 10 [36096/47500]	Loss: 0.3375	LR: 0.020000
Training Epoch: 10 [36352/47500]	Loss: 0.3673	LR: 0.020000
Training Epoch: 10 [36608/47500]	Loss: 0.3046	LR: 0.020000
Training Epoch: 10 [36864/47500]	Loss: 0.2977	LR: 0.020000
Training Epoch: 10 [37120/47500]	Loss: 0.3742	LR: 0.020000
Training Epoch: 10 [37376/47500]	Loss: 0.3432	LR: 0.020000
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Training Epoch: 10 [37888/47500]	Loss: 0.3902	LR: 0.020000
Training Epoch: 10 [38144/47500]	Loss: 0.3143	LR: 0.020000
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Training Epoch: 10 [38656/47500]	Loss: 0.3878	LR: 0.020000
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Training Epoch: 10 [39168/47500]	Loss: 0.3272	LR: 0.020000
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Training Epoch: 10 [39680/47500]	Loss: 0.3215	LR: 0.020000
Training Epoch: 10 [39936/47500]	Loss: 0.3769	LR: 0.020000
Training Epoch: 10 [40192/47500]	Loss: 0.3682	LR: 0.020000
Training Epoch: 10 [40448/47500]	Loss: 0.4334	LR: 0.020000
Training Epoch: 10 [40704/47500]	Loss: 0.3139	LR: 0.020000
Training Epoch: 10 [40960/47500]	Loss: 0.4865	LR: 0.020000
Training Epoch: 10 [41216/47500]	Loss: 0.3217	LR: 0.020000
Training Epoch: 10 [41472/47500]	Loss: 0.3384	LR: 0.020000
Training Epoch: 10 [41728/47500]	Loss: 0.3948	LR: 0.020000
Training Epoch: 10 [41984/47500]	Loss: 0.3636	LR: 0.020000
Training Epoch: 10 [42240/47500]	Loss: 0.3663	LR: 0.020000
Training Epoch: 10 [42496/47500]	Loss: 0.2488	LR: 0.020000
Training Epoch: 10 [42752/47500]	Loss: 0.3361	LR: 0.020000
Training Epoch: 10 [43008/47500]	Loss: 0.3680	LR: 0.020000
Training Epoch: 10 [43264/47500]	Loss: 0.3070	LR: 0.020000
Training Epoch: 10 [43520/47500]	Loss: 0.4339	LR: 0.020000
Training Epoch: 10 [43776/47500]	Loss: 0.4851	LR: 0.020000
Training Epoch: 10 [44032/47500]	Loss: 0.3704	LR: 0.020000
Training Epoch: 10 [44288/47500]	Loss: 0.3493	LR: 0.020000
Training Epoch: 10 [44544/47500]	Loss: 0.3963	LR: 0.020000
Training Epoch: 10 [44800/47500]	Loss: 0.3742	LR: 0.020000
Training Epoch: 10 [45056/47500]	Loss: 0.3792	LR: 0.020000
Training Epoch: 10 [45312/47500]	Loss: 0.3962	LR: 0.020000
Training Epoch: 10 [45568/47500]	Loss: 0.4808	LR: 0.020000
Training Epoch: 10 [45824/47500]	Loss: 0.4345	LR: 0.020000
Training Epoch: 10 [46080/47500]	Loss: 0.3904	LR: 0.020000
Training Epoch: 10 [46336/47500]	Loss: 0.3993	LR: 0.020000
Training Epoch: 10 [46592/47500]	Loss: 0.4283	LR: 0.020000
Training Epoch: 10 [46848/47500]	Loss: 0.3747	LR: 0.020000
Training Epoch: 10 [47104/47500]	Loss: 0.4478	LR: 0.020000
Training Epoch: 10 [47360/47500]	Loss: 0.3806	LR: 0.020000
Training Epoch: 10 [47500/47500]	Loss: 0.4279	LR: 0.020000
Epoch 10 - Average Train Loss: 0.3830, Train Accuracy: 0.8671
Epoch 10 training time consumed: 29.03s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0016, Accuracy: 0.8643, Time consumed:0.94s
Training Epoch: 11 [256/47500]	Loss: 0.4190	LR: 0.020000
Training Epoch: 11 [512/47500]	Loss: 0.2945	LR: 0.020000
Training Epoch: 11 [768/47500]	Loss: 0.3846	LR: 0.020000
Training Epoch: 11 [1024/47500]	Loss: 0.4137	LR: 0.020000
Training Epoch: 11 [1280/47500]	Loss: 0.3901	LR: 0.020000
Training Epoch: 11 [1536/47500]	Loss: 0.3376	LR: 0.020000
Training Epoch: 11 [1792/47500]	Loss: 0.3707	LR: 0.020000
Training Epoch: 11 [2048/47500]	Loss: 0.3719	LR: 0.020000
Training Epoch: 11 [2304/47500]	Loss: 0.3167	LR: 0.020000
Training Epoch: 11 [2560/47500]	Loss: 0.2762	LR: 0.020000
Training Epoch: 11 [2816/47500]	Loss: 0.3011	LR: 0.020000
Training Epoch: 11 [3072/47500]	Loss: 0.3330	LR: 0.020000
Training Epoch: 11 [3328/47500]	Loss: 0.3186	LR: 0.020000
Training Epoch: 11 [3584/47500]	Loss: 0.4628	LR: 0.020000
Training Epoch: 11 [3840/47500]	Loss: 0.3363	LR: 0.020000
Training Epoch: 11 [4096/47500]	Loss: 0.3678	LR: 0.020000
Training Epoch: 11 [4352/47500]	Loss: 0.3087	LR: 0.020000
Training Epoch: 11 [4608/47500]	Loss: 0.3062	LR: 0.020000
Training Epoch: 11 [4864/47500]	Loss: 0.2798	LR: 0.020000
Training Epoch: 11 [5120/47500]	Loss: 0.3860	LR: 0.020000
Training Epoch: 11 [5376/47500]	Loss: 0.2980	LR: 0.020000
Training Epoch: 11 [5632/47500]	Loss: 0.4156	LR: 0.020000
Training Epoch: 11 [5888/47500]	Loss: 0.3201	LR: 0.020000
Training Epoch: 11 [6144/47500]	Loss: 0.3090	LR: 0.020000
Training Epoch: 11 [6400/47500]	Loss: 0.3142	LR: 0.020000
Training Epoch: 11 [6656/47500]	Loss: 0.3574	LR: 0.020000
Training Epoch: 11 [6912/47500]	Loss: 0.4218	LR: 0.020000
Training Epoch: 11 [7168/47500]	Loss: 0.3284	LR: 0.020000
Training Epoch: 11 [7424/47500]	Loss: 0.3423	LR: 0.020000
Training Epoch: 11 [7680/47500]	Loss: 0.3582	LR: 0.020000
Training Epoch: 11 [7936/47500]	Loss: 0.3666	LR: 0.020000
Training Epoch: 11 [8192/47500]	Loss: 0.3842	LR: 0.020000
Training Epoch: 11 [8448/47500]	Loss: 0.3551	LR: 0.020000
Training Epoch: 11 [8704/47500]	Loss: 0.3273	LR: 0.020000
Training Epoch: 11 [8960/47500]	Loss: 0.3213	LR: 0.020000
Training Epoch: 11 [9216/47500]	Loss: 0.3505	LR: 0.020000
Training Epoch: 11 [9472/47500]	Loss: 0.3295	LR: 0.020000
Training Epoch: 11 [9728/47500]	Loss: 0.3606	LR: 0.020000
Training Epoch: 11 [9984/47500]	Loss: 0.3778	LR: 0.020000
Training Epoch: 11 [10240/47500]	Loss: 0.3551	LR: 0.020000
Training Epoch: 11 [10496/47500]	Loss: 0.3488	LR: 0.020000
Training Epoch: 11 [10752/47500]	Loss: 0.3205	LR: 0.020000
Training Epoch: 11 [11008/47500]	Loss: 0.3912	LR: 0.020000
Training Epoch: 11 [11264/47500]	Loss: 0.3889	LR: 0.020000
Training Epoch: 11 [11520/47500]	Loss: 0.3708	LR: 0.020000
Training Epoch: 11 [11776/47500]	Loss: 0.2720	LR: 0.020000
Training Epoch: 11 [12032/47500]	Loss: 0.2966	LR: 0.020000
Training Epoch: 11 [12288/47500]	Loss: 0.3644	LR: 0.020000
Training Epoch: 11 [12544/47500]	Loss: 0.3842	LR: 0.020000
Training Epoch: 11 [12800/47500]	Loss: 0.4226	LR: 0.020000
Training Epoch: 11 [13056/47500]	Loss: 0.3630	LR: 0.020000
Training Epoch: 11 [13312/47500]	Loss: 0.2647	LR: 0.020000
Training Epoch: 11 [13568/47500]	Loss: 0.4394	LR: 0.020000
Training Epoch: 11 [13824/47500]	Loss: 0.3429	LR: 0.020000
Training Epoch: 11 [14080/47500]	Loss: 0.3777	LR: 0.020000
Training Epoch: 11 [14336/47500]	Loss: 0.3834	LR: 0.020000
Training Epoch: 11 [14592/47500]	Loss: 0.4630	LR: 0.020000
Training Epoch: 11 [14848/47500]	Loss: 0.3576	LR: 0.020000
Training Epoch: 11 [15104/47500]	Loss: 0.4113	LR: 0.020000
Training Epoch: 11 [15360/47500]	Loss: 0.3933	LR: 0.020000
Training Epoch: 11 [15616/47500]	Loss: 0.3344	LR: 0.020000
Training Epoch: 11 [15872/47500]	Loss: 0.2447	LR: 0.020000
Training Epoch: 11 [16128/47500]	Loss: 0.3903	LR: 0.020000
Training Epoch: 11 [16384/47500]	Loss: 0.4280	LR: 0.020000
Training Epoch: 11 [16640/47500]	Loss: 0.3049	LR: 0.020000
Training Epoch: 11 [16896/47500]	Loss: 0.2946	LR: 0.020000
Training Epoch: 11 [17152/47500]	Loss: 0.3614	LR: 0.020000
Training Epoch: 11 [17408/47500]	Loss: 0.4305	LR: 0.020000
Training Epoch: 11 [17664/47500]	Loss: 0.2890	LR: 0.020000
Training Epoch: 11 [17920/47500]	Loss: 0.3812	LR: 0.020000
Training Epoch: 11 [18176/47500]	Loss: 0.4672	LR: 0.020000
Training Epoch: 11 [18432/47500]	Loss: 0.3404	LR: 0.020000
Training Epoch: 11 [18688/47500]	Loss: 0.3568	LR: 0.020000
Training Epoch: 11 [18944/47500]	Loss: 0.2443	LR: 0.020000
Training Epoch: 11 [19200/47500]	Loss: 0.4025	LR: 0.020000
Training Epoch: 11 [19456/47500]	Loss: 0.3852	LR: 0.020000
Training Epoch: 11 [19712/47500]	Loss: 0.3320	LR: 0.020000
Training Epoch: 11 [19968/47500]	Loss: 0.3933	LR: 0.020000
Training Epoch: 11 [20224/47500]	Loss: 0.4002	LR: 0.020000
Training Epoch: 11 [20480/47500]	Loss: 0.4362	LR: 0.020000
Training Epoch: 11 [20736/47500]	Loss: 0.3598	LR: 0.020000
Training Epoch: 11 [20992/47500]	Loss: 0.4595	LR: 0.020000
Training Epoch: 11 [21248/47500]	Loss: 0.3566	LR: 0.020000
Training Epoch: 11 [21504/47500]	Loss: 0.3959	LR: 0.020000
Training Epoch: 11 [21760/47500]	Loss: 0.3228	LR: 0.020000
Training Epoch: 11 [22016/47500]	Loss: 0.4207	LR: 0.020000
Training Epoch: 11 [22272/47500]	Loss: 0.3773	LR: 0.020000
Training Epoch: 11 [22528/47500]	Loss: 0.3559	LR: 0.020000
Training Epoch: 11 [22784/47500]	Loss: 0.4034	LR: 0.020000
Training Epoch: 11 [23040/47500]	Loss: 0.2880	LR: 0.020000
Training Epoch: 11 [23296/47500]	Loss: 0.3086	LR: 0.020000
Training Epoch: 11 [23552/47500]	Loss: 0.3520	LR: 0.020000
Training Epoch: 11 [23808/47500]	Loss: 0.4465	LR: 0.020000
Training Epoch: 11 [24064/47500]	Loss: 0.3645	LR: 0.020000
Training Epoch: 11 [24320/47500]	Loss: 0.3511	LR: 0.020000
Training Epoch: 11 [24576/47500]	Loss: 0.2982	LR: 0.020000
Training Epoch: 11 [24832/47500]	Loss: 0.4122	LR: 0.020000
Training Epoch: 11 [25088/47500]	Loss: 0.3748	LR: 0.020000
Training Epoch: 11 [25344/47500]	Loss: 0.3823	LR: 0.020000
Training Epoch: 11 [25600/47500]	Loss: 0.3320	LR: 0.020000
Training Epoch: 11 [25856/47500]	Loss: 0.3967	LR: 0.020000
Training Epoch: 11 [26112/47500]	Loss: 0.3615	LR: 0.020000
Training Epoch: 11 [26368/47500]	Loss: 0.3540	LR: 0.020000
Training Epoch: 11 [26624/47500]	Loss: 0.3316	LR: 0.020000
Training Epoch: 11 [26880/47500]	Loss: 0.4571	LR: 0.020000
Training Epoch: 11 [27136/47500]	Loss: 0.2985	LR: 0.020000
Training Epoch: 11 [27392/47500]	Loss: 0.3585	LR: 0.020000
Training Epoch: 11 [27648/47500]	Loss: 0.4118	LR: 0.020000
Training Epoch: 11 [27904/47500]	Loss: 0.2706	LR: 0.020000
Training Epoch: 11 [28160/47500]	Loss: 0.3907	LR: 0.020000
Training Epoch: 11 [28416/47500]	Loss: 0.3996	LR: 0.020000
Training Epoch: 11 [28672/47500]	Loss: 0.2866	LR: 0.020000
Training Epoch: 11 [28928/47500]	Loss: 0.3860	LR: 0.020000
Training Epoch: 11 [29184/47500]	Loss: 0.4262	LR: 0.020000
Training Epoch: 11 [29440/47500]	Loss: 0.3221	LR: 0.020000
Training Epoch: 11 [29696/47500]	Loss: 0.3094	LR: 0.020000
Training Epoch: 11 [29952/47500]	Loss: 0.3237	LR: 0.020000
Training Epoch: 11 [30208/47500]	Loss: 0.3102	LR: 0.020000
Training Epoch: 11 [30464/47500]	Loss: 0.3051	LR: 0.020000
Training Epoch: 11 [30720/47500]	Loss: 0.3738	LR: 0.020000
Training Epoch: 11 [30976/47500]	Loss: 0.3850	LR: 0.020000
Training Epoch: 11 [31232/47500]	Loss: 0.3427	LR: 0.020000
Training Epoch: 11 [31488/47500]	Loss: 0.3568	LR: 0.020000
Training Epoch: 11 [31744/47500]	Loss: 0.2688	LR: 0.020000
Training Epoch: 11 [32000/47500]	Loss: 0.2930	LR: 0.020000
Training Epoch: 11 [32256/47500]	Loss: 0.3550	LR: 0.020000
Training Epoch: 11 [32512/47500]	Loss: 0.3622	LR: 0.020000
Training Epoch: 11 [32768/47500]	Loss: 0.3782	LR: 0.020000
Training Epoch: 11 [33024/47500]	Loss: 0.4251	LR: 0.020000
Training Epoch: 11 [33280/47500]	Loss: 0.3680	LR: 0.020000
Training Epoch: 11 [33536/47500]	Loss: 0.4463	LR: 0.020000
Training Epoch: 11 [33792/47500]	Loss: 0.3132	LR: 0.020000
Training Epoch: 11 [34048/47500]	Loss: 0.4670	LR: 0.020000
Training Epoch: 11 [34304/47500]	Loss: 0.3612	LR: 0.020000
Training Epoch: 11 [34560/47500]	Loss: 0.3445	LR: 0.020000
Training Epoch: 11 [34816/47500]	Loss: 0.4390	LR: 0.020000
Training Epoch: 11 [35072/47500]	Loss: 0.4439	LR: 0.020000
Training Epoch: 11 [35328/47500]	Loss: 0.3273	LR: 0.020000
Training Epoch: 11 [35584/47500]	Loss: 0.3495	LR: 0.020000
Training Epoch: 11 [35840/47500]	Loss: 0.4174	LR: 0.020000
Training Epoch: 11 [36096/47500]	Loss: 0.3596	LR: 0.020000
Training Epoch: 11 [36352/47500]	Loss: 0.3706	LR: 0.020000
Training Epoch: 11 [36608/47500]	Loss: 0.4717	LR: 0.020000
Training Epoch: 11 [36864/47500]	Loss: 0.3529	LR: 0.020000
Training Epoch: 11 [37120/47500]	Loss: 0.3461	LR: 0.020000
Training Epoch: 11 [37376/47500]	Loss: 0.3689	LR: 0.020000
Training Epoch: 11 [37632/47500]	Loss: 0.3899	LR: 0.020000
Training Epoch: 11 [37888/47500]	Loss: 0.3129	LR: 0.020000
Training Epoch: 11 [38144/47500]	Loss: 0.4420	LR: 0.020000
Training Epoch: 11 [38400/47500]	Loss: 0.3820	LR: 0.020000
Training Epoch: 11 [38656/47500]	Loss: 0.3545	LR: 0.020000
Training Epoch: 11 [38912/47500]	Loss: 0.3725	LR: 0.020000
Training Epoch: 11 [39168/47500]	Loss: 0.3520	LR: 0.020000
Training Epoch: 11 [39424/47500]	Loss: 0.4028	LR: 0.020000
Training Epoch: 11 [39680/47500]	Loss: 0.4166	LR: 0.020000
Training Epoch: 11 [39936/47500]	Loss: 0.4062	LR: 0.020000
Training Epoch: 11 [40192/47500]	Loss: 0.3889	LR: 0.020000
Training Epoch: 11 [40448/47500]	Loss: 0.4090	LR: 0.020000
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Training Epoch: 11 [47360/47500]	Loss: 0.3666	LR: 0.020000
Training Epoch: 11 [47500/47500]	Loss: 0.4384	LR: 0.020000
Epoch 11 - Average Train Loss: 0.3620, Train Accuracy: 0.8732
Epoch 11 training time consumed: 28.81s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0015, Accuracy: 0.8729, Time consumed:0.99s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_11h_02m_45s/ResNet18-Cifar10-seed1-ret50-11-best.pth
Training Epoch: 12 [256/47500]	Loss: 0.3662	LR: 0.004000
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Training Epoch: 12 [46592/47500]	Loss: 0.3040	LR: 0.004000
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Training Epoch: 12 [47360/47500]	Loss: 0.3156	LR: 0.004000
Training Epoch: 12 [47500/47500]	Loss: 0.3401	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3159, Train Accuracy: 0.8896
Epoch 12 training time consumed: 28.91s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0014, Accuracy: 0.8839, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_11h_02m_45s/ResNet18-Cifar10-seed1-ret50-12-best.pth
Training Epoch: 13 [256/47500]	Loss: 0.2454	LR: 0.004000
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Training Epoch: 13 [768/47500]	Loss: 0.2920	LR: 0.004000
Training Epoch: 13 [1024/47500]	Loss: 0.3085	LR: 0.004000
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Training Epoch: 13 [47500/47500]	Loss: 0.3335	LR: 0.004000
Epoch 13 - Average Train Loss: 0.3002, Train Accuracy: 0.8952
Epoch 13 training time consumed: 28.78s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0014, Accuracy: 0.8866, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_11h_02m_45s/ResNet18-Cifar10-seed1-ret50-13-best.pth
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Training Epoch: 14 [47360/47500]	Loss: 0.2688	LR: 0.004000
Training Epoch: 14 [47500/47500]	Loss: 0.3504	LR: 0.004000
Epoch 14 - Average Train Loss: 0.2944, Train Accuracy: 0.8961
Epoch 14 training time consumed: 28.75s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0014, Accuracy: 0.8890, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_11h_02m_45s/ResNet18-Cifar10-seed1-ret50-14-best.pth
Training Epoch: 15 [256/47500]	Loss: 0.2401	LR: 0.004000
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Training Epoch: 15 [47500/47500]	Loss: 0.3570	LR: 0.004000
Epoch 15 - Average Train Loss: 0.2880, Train Accuracy: 0.8990
Epoch 15 training time consumed: 29.16s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0013, Accuracy: 0.8883, Time consumed:0.94s
Training Epoch: 16 [256/47500]	Loss: 0.2590	LR: 0.000800
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Training Epoch: 16 [47500/47500]	Loss: 0.2792	LR: 0.000800
Epoch 16 - Average Train Loss: 0.2755, Train Accuracy: 0.9044
Epoch 16 training time consumed: 29.10s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0013, Accuracy: 0.8914, Time consumed:0.99s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_11h_02m_45s/ResNet18-Cifar10-seed1-ret50-16-best.pth
Training Epoch: 17 [256/47500]	Loss: 0.2585	LR: 0.000800
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Training Epoch: 17 [45312/47500]	Loss: 0.2039	LR: 0.000800
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Training Epoch: 17 [45824/47500]	Loss: 0.2384	LR: 0.000800
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Training Epoch: 17 [46336/47500]	Loss: 0.2543	LR: 0.000800
Training Epoch: 17 [46592/47500]	Loss: 0.3155	LR: 0.000800
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Training Epoch: 17 [47360/47500]	Loss: 0.3205	LR: 0.000800
Training Epoch: 17 [47500/47500]	Loss: 0.2676	LR: 0.000800
Epoch 17 - Average Train Loss: 0.2734, Train Accuracy: 0.9049
Epoch 17 training time consumed: 28.99s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0013, Accuracy: 0.8911, Time consumed:0.95s
Training Epoch: 18 [256/47500]	Loss: 0.2782	LR: 0.000800
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Training Epoch: 18 [46336/47500]	Loss: 0.2853	LR: 0.000800
Training Epoch: 18 [46592/47500]	Loss: 0.2468	LR: 0.000800
Training Epoch: 18 [46848/47500]	Loss: 0.2096	LR: 0.000800
Training Epoch: 18 [47104/47500]	Loss: 0.2592	LR: 0.000800
Training Epoch: 18 [47360/47500]	Loss: 0.3119	LR: 0.000800
Training Epoch: 18 [47500/47500]	Loss: 0.2725	LR: 0.000800
Epoch 18 - Average Train Loss: 0.2728, Train Accuracy: 0.9065
Epoch 18 training time consumed: 28.75s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0013, Accuracy: 0.8921, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_11h_02m_45s/ResNet18-Cifar10-seed1-ret50-18-best.pth
Training Epoch: 19 [256/47500]	Loss: 0.2151	LR: 0.000800
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Training Epoch: 19 [768/47500]	Loss: 0.1927	LR: 0.000800
Training Epoch: 19 [1024/47500]	Loss: 0.2942	LR: 0.000800
Training Epoch: 19 [1280/47500]	Loss: 0.2872	LR: 0.000800
Training Epoch: 19 [1536/47500]	Loss: 0.3021	LR: 0.000800
Training Epoch: 19 [1792/47500]	Loss: 0.2705	LR: 0.000800
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Training Epoch: 19 [22528/47500]	Loss: 0.2511	LR: 0.000800
Training Epoch: 19 [22784/47500]	Loss: 0.2986	LR: 0.000800
Training Epoch: 19 [23040/47500]	Loss: 0.2886	LR: 0.000800
Training Epoch: 19 [23296/47500]	Loss: 0.2703	LR: 0.000800
Training Epoch: 19 [23552/47500]	Loss: 0.2546	LR: 0.000800
Training Epoch: 19 [23808/47500]	Loss: 0.2619	LR: 0.000800
Training Epoch: 19 [24064/47500]	Loss: 0.2079	LR: 0.000800
Training Epoch: 19 [24320/47500]	Loss: 0.2723	LR: 0.000800
Training Epoch: 19 [24576/47500]	Loss: 0.2607	LR: 0.000800
Training Epoch: 19 [24832/47500]	Loss: 0.2271	LR: 0.000800
Training Epoch: 19 [25088/47500]	Loss: 0.2134	LR: 0.000800
Training Epoch: 19 [25344/47500]	Loss: 0.2379	LR: 0.000800
Training Epoch: 19 [25600/47500]	Loss: 0.3067	LR: 0.000800
Training Epoch: 19 [25856/47500]	Loss: 0.2419	LR: 0.000800
Training Epoch: 19 [26112/47500]	Loss: 0.3582	LR: 0.000800
Training Epoch: 19 [26368/47500]	Loss: 0.2814	LR: 0.000800
Training Epoch: 19 [26624/47500]	Loss: 0.3286	LR: 0.000800
Training Epoch: 19 [26880/47500]	Loss: 0.3604	LR: 0.000800
Training Epoch: 19 [27136/47500]	Loss: 0.3575	LR: 0.000800
Training Epoch: 19 [27392/47500]	Loss: 0.2305	LR: 0.000800
Training Epoch: 19 [27648/47500]	Loss: 0.2633	LR: 0.000800
Training Epoch: 19 [27904/47500]	Loss: 0.2545	LR: 0.000800
Training Epoch: 19 [28160/47500]	Loss: 0.2532	LR: 0.000800
Training Epoch: 19 [28416/47500]	Loss: 0.2860	LR: 0.000800
Training Epoch: 19 [28672/47500]	Loss: 0.2402	LR: 0.000800
Training Epoch: 19 [28928/47500]	Loss: 0.2998	LR: 0.000800
Training Epoch: 19 [29184/47500]	Loss: 0.2830	LR: 0.000800
Training Epoch: 19 [29440/47500]	Loss: 0.2979	LR: 0.000800
Training Epoch: 19 [29696/47500]	Loss: 0.2544	LR: 0.000800
Training Epoch: 19 [29952/47500]	Loss: 0.2564	LR: 0.000800
Training Epoch: 19 [30208/47500]	Loss: 0.2919	LR: 0.000800
Training Epoch: 19 [30464/47500]	Loss: 0.2777	LR: 0.000800
Training Epoch: 19 [30720/47500]	Loss: 0.3010	LR: 0.000800
Training Epoch: 19 [30976/47500]	Loss: 0.2357	LR: 0.000800
Training Epoch: 19 [31232/47500]	Loss: 0.2843	LR: 0.000800
Training Epoch: 19 [31488/47500]	Loss: 0.2567	LR: 0.000800
Training Epoch: 19 [31744/47500]	Loss: 0.2197	LR: 0.000800
Training Epoch: 19 [32000/47500]	Loss: 0.2688	LR: 0.000800
Training Epoch: 19 [32256/47500]	Loss: 0.2535	LR: 0.000800
Training Epoch: 19 [32512/47500]	Loss: 0.1842	LR: 0.000800
Training Epoch: 19 [32768/47500]	Loss: 0.2857	LR: 0.000800
Training Epoch: 19 [33024/47500]	Loss: 0.2905	LR: 0.000800
Training Epoch: 19 [33280/47500]	Loss: 0.2234	LR: 0.000800
Training Epoch: 19 [33536/47500]	Loss: 0.3335	LR: 0.000800
Training Epoch: 19 [33792/47500]	Loss: 0.3385	LR: 0.000800
Training Epoch: 19 [34048/47500]	Loss: 0.2891	LR: 0.000800
Training Epoch: 19 [34304/47500]	Loss: 0.2503	LR: 0.000800
Training Epoch: 19 [34560/47500]	Loss: 0.3071	LR: 0.000800
Training Epoch: 19 [34816/47500]	Loss: 0.2967	LR: 0.000800
Training Epoch: 19 [35072/47500]	Loss: 0.2696	LR: 0.000800
Training Epoch: 19 [35328/47500]	Loss: 0.2522	LR: 0.000800
Training Epoch: 19 [35584/47500]	Loss: 0.2301	LR: 0.000800
Training Epoch: 19 [35840/47500]	Loss: 0.3220	LR: 0.000800
Training Epoch: 19 [36096/47500]	Loss: 0.2519	LR: 0.000800
Training Epoch: 19 [36352/47500]	Loss: 0.2800	LR: 0.000800
Training Epoch: 19 [36608/47500]	Loss: 0.2221	LR: 0.000800
Training Epoch: 19 [36864/47500]	Loss: 0.3460	LR: 0.000800
Training Epoch: 19 [37120/47500]	Loss: 0.2691	LR: 0.000800
Training Epoch: 19 [37376/47500]	Loss: 0.2789	LR: 0.000800
Training Epoch: 19 [37632/47500]	Loss: 0.2059	LR: 0.000800
Training Epoch: 19 [37888/47500]	Loss: 0.3202	LR: 0.000800
Training Epoch: 19 [38144/47500]	Loss: 0.2239	LR: 0.000800
Training Epoch: 19 [38400/47500]	Loss: 0.2793	LR: 0.000800
Training Epoch: 19 [38656/47500]	Loss: 0.2015	LR: 0.000800
Training Epoch: 19 [38912/47500]	Loss: 0.2650	LR: 0.000800
Training Epoch: 19 [39168/47500]	Loss: 0.1783	LR: 0.000800
Training Epoch: 19 [39424/47500]	Loss: 0.2452	LR: 0.000800
Training Epoch: 19 [39680/47500]	Loss: 0.2168	LR: 0.000800
Training Epoch: 19 [39936/47500]	Loss: 0.2012	LR: 0.000800
Training Epoch: 19 [40192/47500]	Loss: 0.2715	LR: 0.000800
Training Epoch: 19 [40448/47500]	Loss: 0.2619	LR: 0.000800
Training Epoch: 19 [40704/47500]	Loss: 0.2756	LR: 0.000800
Training Epoch: 19 [40960/47500]	Loss: 0.2949	LR: 0.000800
Training Epoch: 19 [41216/47500]	Loss: 0.2829	LR: 0.000800
Training Epoch: 19 [41472/47500]	Loss: 0.2417	LR: 0.000800
Training Epoch: 19 [41728/47500]	Loss: 0.2135	LR: 0.000800
Training Epoch: 19 [41984/47500]	Loss: 0.3227	LR: 0.000800
Training Epoch: 19 [42240/47500]	Loss: 0.2515	LR: 0.000800
Training Epoch: 19 [42496/47500]	Loss: 0.2457	LR: 0.000800
Training Epoch: 19 [42752/47500]	Loss: 0.3006	LR: 0.000800
Training Epoch: 19 [43008/47500]	Loss: 0.1786	LR: 0.000800
Training Epoch: 19 [43264/47500]	Loss: 0.3270	LR: 0.000800
Training Epoch: 19 [43520/47500]	Loss: 0.2954	LR: 0.000800
Training Epoch: 19 [43776/47500]	Loss: 0.2225	LR: 0.000800
Training Epoch: 19 [44032/47500]	Loss: 0.2570	LR: 0.000800
Training Epoch: 19 [44288/47500]	Loss: 0.2843	LR: 0.000800
Training Epoch: 19 [44544/47500]	Loss: 0.2268	LR: 0.000800
Training Epoch: 19 [44800/47500]	Loss: 0.2715	LR: 0.000800
Training Epoch: 19 [45056/47500]	Loss: 0.2236	LR: 0.000800
Training Epoch: 19 [45312/47500]	Loss: 0.3169	LR: 0.000800
Training Epoch: 19 [45568/47500]	Loss: 0.2609	LR: 0.000800
Training Epoch: 19 [45824/47500]	Loss: 0.2849	LR: 0.000800
Training Epoch: 19 [46080/47500]	Loss: 0.2807	LR: 0.000800
Training Epoch: 19 [46336/47500]	Loss: 0.2589	LR: 0.000800
Training Epoch: 19 [46592/47500]	Loss: 0.3132	LR: 0.000800
Training Epoch: 19 [46848/47500]	Loss: 0.2512	LR: 0.000800
Training Epoch: 19 [47104/47500]	Loss: 0.2166	LR: 0.000800
Training Epoch: 19 [47360/47500]	Loss: 0.2498	LR: 0.000800
Training Epoch: 19 [47500/47500]	Loss: 0.3714	LR: 0.000800
Epoch 19 - Average Train Loss: 0.2655, Train Accuracy: 0.9071
Epoch 19 training time consumed: 28.94s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0013, Accuracy: 0.8907, Time consumed:0.99s
Training Epoch: 20 [256/47500]	Loss: 0.2573	LR: 0.000800
Training Epoch: 20 [512/47500]	Loss: 0.2105	LR: 0.000800
Training Epoch: 20 [768/47500]	Loss: 0.2518	LR: 0.000800
Training Epoch: 20 [1024/47500]	Loss: 0.2832	LR: 0.000800
Training Epoch: 20 [1280/47500]	Loss: 0.2299	LR: 0.000800
Training Epoch: 20 [1536/47500]	Loss: 0.2649	LR: 0.000800
Training Epoch: 20 [1792/47500]	Loss: 0.3183	LR: 0.000800
Training Epoch: 20 [2048/47500]	Loss: 0.2802	LR: 0.000800
Training Epoch: 20 [2304/47500]	Loss: 0.1909	LR: 0.000800
Training Epoch: 20 [2560/47500]	Loss: 0.2762	LR: 0.000800
Training Epoch: 20 [2816/47500]	Loss: 0.2445	LR: 0.000800
Training Epoch: 20 [3072/47500]	Loss: 0.2250	LR: 0.000800
Training Epoch: 20 [3328/47500]	Loss: 0.3100	LR: 0.000800
Training Epoch: 20 [3584/47500]	Loss: 0.2696	LR: 0.000800
Training Epoch: 20 [3840/47500]	Loss: 0.2410	LR: 0.000800
Training Epoch: 20 [4096/47500]	Loss: 0.3394	LR: 0.000800
Training Epoch: 20 [4352/47500]	Loss: 0.2852	LR: 0.000800
Training Epoch: 20 [4608/47500]	Loss: 0.3511	LR: 0.000800
Training Epoch: 20 [4864/47500]	Loss: 0.3192	LR: 0.000800
Training Epoch: 20 [5120/47500]	Loss: 0.1986	LR: 0.000800
Training Epoch: 20 [5376/47500]	Loss: 0.2553	LR: 0.000800
Training Epoch: 20 [5632/47500]	Loss: 0.2100	LR: 0.000800
Training Epoch: 20 [5888/47500]	Loss: 0.2640	LR: 0.000800
Training Epoch: 20 [6144/47500]	Loss: 0.1811	LR: 0.000800
Training Epoch: 20 [6400/47500]	Loss: 0.3037	LR: 0.000800
Training Epoch: 20 [6656/47500]	Loss: 0.2074	LR: 0.000800
Training Epoch: 20 [6912/47500]	Loss: 0.2280	LR: 0.000800
Training Epoch: 20 [7168/47500]	Loss: 0.2514	LR: 0.000800
Training Epoch: 20 [7424/47500]	Loss: 0.3613	LR: 0.000800
Training Epoch: 20 [7680/47500]	Loss: 0.2774	LR: 0.000800
Training Epoch: 20 [7936/47500]	Loss: 0.2780	LR: 0.000800
Training Epoch: 20 [8192/47500]	Loss: 0.2370	LR: 0.000800
Training Epoch: 20 [8448/47500]	Loss: 0.2818	LR: 0.000800
Training Epoch: 20 [8704/47500]	Loss: 0.2974	LR: 0.000800
Training Epoch: 20 [8960/47500]	Loss: 0.2854	LR: 0.000800
Training Epoch: 20 [9216/47500]	Loss: 0.3083	LR: 0.000800
Training Epoch: 20 [9472/47500]	Loss: 0.2345	LR: 0.000800
Training Epoch: 20 [9728/47500]	Loss: 0.3308	LR: 0.000800
Training Epoch: 20 [9984/47500]	Loss: 0.2546	LR: 0.000800
Training Epoch: 20 [10240/47500]	Loss: 0.3337	LR: 0.000800
Training Epoch: 20 [10496/47500]	Loss: 0.2510	LR: 0.000800
Training Epoch: 20 [10752/47500]	Loss: 0.2970	LR: 0.000800
Training Epoch: 20 [11008/47500]	Loss: 0.2345	LR: 0.000800
Training Epoch: 20 [11264/47500]	Loss: 0.2626	LR: 0.000800
Training Epoch: 20 [11520/47500]	Loss: 0.2457	LR: 0.000800
Training Epoch: 20 [11776/47500]	Loss: 0.3913	LR: 0.000800
Training Epoch: 20 [12032/47500]	Loss: 0.2976	LR: 0.000800
Training Epoch: 20 [12288/47500]	Loss: 0.2786	LR: 0.000800
Training Epoch: 20 [12544/47500]	Loss: 0.2328	LR: 0.000800
Training Epoch: 20 [12800/47500]	Loss: 0.2969	LR: 0.000800
Training Epoch: 20 [13056/47500]	Loss: 0.2300	LR: 0.000800
Training Epoch: 20 [13312/47500]	Loss: 0.3013	LR: 0.000800
Training Epoch: 20 [13568/47500]	Loss: 0.2627	LR: 0.000800
Training Epoch: 20 [13824/47500]	Loss: 0.2483	LR: 0.000800
Training Epoch: 20 [14080/47500]	Loss: 0.2419	LR: 0.000800
Training Epoch: 20 [14336/47500]	Loss: 0.2890	LR: 0.000800
Training Epoch: 20 [14592/47500]	Loss: 0.3309	LR: 0.000800
Training Epoch: 20 [14848/47500]	Loss: 0.2682	LR: 0.000800
Training Epoch: 20 [15104/47500]	Loss: 0.3124	LR: 0.000800
Training Epoch: 20 [15360/47500]	Loss: 0.2739	LR: 0.000800
Training Epoch: 20 [15616/47500]	Loss: 0.2359	LR: 0.000800
Training Epoch: 20 [15872/47500]	Loss: 0.2173	LR: 0.000800
Training Epoch: 20 [16128/47500]	Loss: 0.1703	LR: 0.000800
Training Epoch: 20 [16384/47500]	Loss: 0.2427	LR: 0.000800
Training Epoch: 20 [16640/47500]	Loss: 0.3390	LR: 0.000800
Training Epoch: 20 [16896/47500]	Loss: 0.2764	LR: 0.000800
Training Epoch: 20 [17152/47500]	Loss: 0.2780	LR: 0.000800
Training Epoch: 20 [17408/47500]	Loss: 0.2623	LR: 0.000800
Training Epoch: 20 [17664/47500]	Loss: 0.1781	LR: 0.000800
Training Epoch: 20 [17920/47500]	Loss: 0.2988	LR: 0.000800
Training Epoch: 20 [18176/47500]	Loss: 0.2334	LR: 0.000800
Training Epoch: 20 [18432/47500]	Loss: 0.3054	LR: 0.000800
Training Epoch: 20 [18688/47500]	Loss: 0.3242	LR: 0.000800
Training Epoch: 20 [18944/47500]	Loss: 0.2398	LR: 0.000800
Training Epoch: 20 [19200/47500]	Loss: 0.3192	LR: 0.000800
Training Epoch: 20 [19456/47500]	Loss: 0.2639	LR: 0.000800
Training Epoch: 20 [19712/47500]	Loss: 0.2724	LR: 0.000800
Training Epoch: 20 [19968/47500]	Loss: 0.2813	LR: 0.000800
Training Epoch: 20 [20224/47500]	Loss: 0.2670	LR: 0.000800
Training Epoch: 20 [20480/47500]	Loss: 0.2927	LR: 0.000800
Training Epoch: 20 [20736/47500]	Loss: 0.2819	LR: 0.000800
Training Epoch: 20 [20992/47500]	Loss: 0.2826	LR: 0.000800
Training Epoch: 20 [21248/47500]	Loss: 0.2239	LR: 0.000800
Training Epoch: 20 [21504/47500]	Loss: 0.2923	LR: 0.000800
Training Epoch: 20 [21760/47500]	Loss: 0.3272	LR: 0.000800
Training Epoch: 20 [22016/47500]	Loss: 0.3128	LR: 0.000800
Training Epoch: 20 [22272/47500]	Loss: 0.2322	LR: 0.000800
Training Epoch: 20 [22528/47500]	Loss: 0.3483	LR: 0.000800
Training Epoch: 20 [22784/47500]	Loss: 0.2593	LR: 0.000800
Training Epoch: 20 [23040/47500]	Loss: 0.3012	LR: 0.000800
Training Epoch: 20 [23296/47500]	Loss: 0.2546	LR: 0.000800
Training Epoch: 20 [23552/47500]	Loss: 0.2971	LR: 0.000800
Training Epoch: 20 [23808/47500]	Loss: 0.2370	LR: 0.000800
Training Epoch: 20 [24064/47500]	Loss: 0.2411	LR: 0.000800
Training Epoch: 20 [24320/47500]	Loss: 0.2678	LR: 0.000800
Training Epoch: 20 [24576/47500]	Loss: 0.2653	LR: 0.000800
Training Epoch: 20 [24832/47500]	Loss: 0.2329	LR: 0.000800
Training Epoch: 20 [25088/47500]	Loss: 0.2386	LR: 0.000800
Training Epoch: 20 [25344/47500]	Loss: 0.3197	LR: 0.000800
Training Epoch: 20 [25600/47500]	Loss: 0.2379	LR: 0.000800
Training Epoch: 20 [25856/47500]	Loss: 0.1975	LR: 0.000800
Training Epoch: 20 [26112/47500]	Loss: 0.2215	LR: 0.000800
Training Epoch: 20 [26368/47500]	Loss: 0.2931	LR: 0.000800
Training Epoch: 20 [26624/47500]	Loss: 0.2405	LR: 0.000800
Training Epoch: 20 [26880/47500]	Loss: 0.2519	LR: 0.000800
Training Epoch: 20 [27136/47500]	Loss: 0.2613	LR: 0.000800
Training Epoch: 20 [27392/47500]	Loss: 0.2588	LR: 0.000800
Training Epoch: 20 [27648/47500]	Loss: 0.2486	LR: 0.000800
Training Epoch: 20 [27904/47500]	Loss: 0.2468	LR: 0.000800
Training Epoch: 20 [28160/47500]	Loss: 0.2890	LR: 0.000800
Training Epoch: 20 [28416/47500]	Loss: 0.2408	LR: 0.000800
Training Epoch: 20 [28672/47500]	Loss: 0.3307	LR: 0.000800
Training Epoch: 20 [28928/47500]	Loss: 0.2186	LR: 0.000800
Training Epoch: 20 [29184/47500]	Loss: 0.2377	LR: 0.000800
Training Epoch: 20 [29440/47500]	Loss: 0.2543	LR: 0.000800
Training Epoch: 20 [29696/47500]	Loss: 0.3342	LR: 0.000800
Training Epoch: 20 [29952/47500]	Loss: 0.3364	LR: 0.000800
Training Epoch: 20 [30208/47500]	Loss: 0.3708	LR: 0.000800
Training Epoch: 20 [30464/47500]	Loss: 0.2592	LR: 0.000800
Training Epoch: 20 [30720/47500]	Loss: 0.3693	LR: 0.000800
Training Epoch: 20 [30976/47500]	Loss: 0.2500	LR: 0.000800
Training Epoch: 20 [31232/47500]	Loss: 0.3281	LR: 0.000800
Training Epoch: 20 [31488/47500]	Loss: 0.2819	LR: 0.000800
Training Epoch: 20 [31744/47500]	Loss: 0.2840	LR: 0.000800
Training Epoch: 20 [32000/47500]	Loss: 0.2395	LR: 0.000800
Training Epoch: 20 [32256/47500]	Loss: 0.2618	LR: 0.000800
Training Epoch: 20 [32512/47500]	Loss: 0.2587	LR: 0.000800
Training Epoch: 20 [32768/47500]	Loss: 0.2395	LR: 0.000800
Training Epoch: 20 [33024/47500]	Loss: 0.2694	LR: 0.000800
Training Epoch: 20 [33280/47500]	Loss: 0.2673	LR: 0.000800
Training Epoch: 20 [33536/47500]	Loss: 0.2534	LR: 0.000800
Training Epoch: 20 [33792/47500]	Loss: 0.2789	LR: 0.000800
Training Epoch: 20 [34048/47500]	Loss: 0.2711	LR: 0.000800
Training Epoch: 20 [34304/47500]	Loss: 0.1799	LR: 0.000800
Training Epoch: 20 [34560/47500]	Loss: 0.2815	LR: 0.000800
Training Epoch: 20 [34816/47500]	Loss: 0.2207	LR: 0.000800
Training Epoch: 20 [35072/47500]	Loss: 0.3616	LR: 0.000800
Training Epoch: 20 [35328/47500]	Loss: 0.2036	LR: 0.000800
Training Epoch: 20 [35584/47500]	Loss: 0.3333	LR: 0.000800
Training Epoch: 20 [35840/47500]	Loss: 0.2771	LR: 0.000800
Training Epoch: 20 [36096/47500]	Loss: 0.2236	LR: 0.000800
Training Epoch: 20 [36352/47500]	Loss: 0.2570	LR: 0.000800
Training Epoch: 20 [36608/47500]	Loss: 0.2794	LR: 0.000800
Training Epoch: 20 [36864/47500]	Loss: 0.2892	LR: 0.000800
Training Epoch: 20 [37120/47500]	Loss: 0.2063	LR: 0.000800
Training Epoch: 20 [37376/47500]	Loss: 0.2749	LR: 0.000800
Training Epoch: 20 [37632/47500]	Loss: 0.2993	LR: 0.000800
Training Epoch: 20 [37888/47500]	Loss: 0.2307	LR: 0.000800
Training Epoch: 20 [38144/47500]	Loss: 0.2596	LR: 0.000800
Training Epoch: 20 [38400/47500]	Loss: 0.2684	LR: 0.000800
Training Epoch: 20 [38656/47500]	Loss: 0.3789	LR: 0.000800
Training Epoch: 20 [38912/47500]	Loss: 0.2957	LR: 0.000800
Training Epoch: 20 [39168/47500]	Loss: 0.2159	LR: 0.000800
Training Epoch: 20 [39424/47500]	Loss: 0.2371	LR: 0.000800
Training Epoch: 20 [39680/47500]	Loss: 0.2439	LR: 0.000800
Training Epoch: 20 [39936/47500]	Loss: 0.2257	LR: 0.000800
Training Epoch: 20 [40192/47500]	Loss: 0.2830	LR: 0.000800
Training Epoch: 20 [40448/47500]	Loss: 0.3057	LR: 0.000800
Training Epoch: 20 [40704/47500]	Loss: 0.2377	LR: 0.000800
Training Epoch: 20 [40960/47500]	Loss: 0.3621	LR: 0.000800
Training Epoch: 20 [41216/47500]	Loss: 0.2196	LR: 0.000800
Training Epoch: 20 [41472/47500]	Loss: 0.2925	LR: 0.000800
Training Epoch: 20 [41728/47500]	Loss: 0.2175	LR: 0.000800
Training Epoch: 20 [41984/47500]	Loss: 0.1638	LR: 0.000800
Training Epoch: 20 [42240/47500]	Loss: 0.2544	LR: 0.000800
Training Epoch: 20 [42496/47500]	Loss: 0.2615	LR: 0.000800
Training Epoch: 20 [42752/47500]	Loss: 0.2743	LR: 0.000800
Training Epoch: 20 [43008/47500]	Loss: 0.2695	LR: 0.000800
Training Epoch: 20 [43264/47500]	Loss: 0.2300	LR: 0.000800
Training Epoch: 20 [43520/47500]	Loss: 0.2767	LR: 0.000800
Training Epoch: 20 [43776/47500]	Loss: 0.3752	LR: 0.000800
Training Epoch: 20 [44032/47500]	Loss: 0.2457	LR: 0.000800
Training Epoch: 20 [44288/47500]	Loss: 0.2210	LR: 0.000800
Training Epoch: 20 [44544/47500]	Loss: 0.2738	LR: 0.000800
Training Epoch: 20 [44800/47500]	Loss: 0.2451	LR: 0.000800
Training Epoch: 20 [45056/47500]	Loss: 0.3221	LR: 0.000800
Training Epoch: 20 [45312/47500]	Loss: 0.2645	LR: 0.000800
Training Epoch: 20 [45568/47500]	Loss: 0.2073	LR: 0.000800
Training Epoch: 20 [45824/47500]	Loss: 0.3372	LR: 0.000800
Training Epoch: 20 [46080/47500]	Loss: 0.2763	LR: 0.000800
Training Epoch: 20 [46336/47500]	Loss: 0.2152	LR: 0.000800
Training Epoch: 20 [46592/47500]	Loss: 0.3211	LR: 0.000800
Training Epoch: 20 [46848/47500]	Loss: 0.2991	LR: 0.000800
Training Epoch: 20 [47104/47500]	Loss: 0.2346	LR: 0.000800
Training Epoch: 20 [47360/47500]	Loss: 0.2994	LR: 0.000800
Training Epoch: 20 [47500/47500]	Loss: 0.2703	LR: 0.000800
Epoch 20 - Average Train Loss: 0.2692, Train Accuracy: 0.9074
Epoch 20 training time consumed: 28.81s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0013, Accuracy: 0.8912, Time consumed:0.95s
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: 0.7540
Set1 Distribution: 2500 samples
Set2 Distribution: 2500 samples
MIA Attack Accuracy with XGBoost: 0.4940
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
MIA Attack Accuracy with XGBoost: 0.6665
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
MIA Attack Accuracy with XGBoost: 0.5112
Test Accuracy: 91.552734375
Retain Accuracy: 94.01713562011719
Zero-Retain Forget (ZRF): 0.8266331553459167
Membership Inference Attack (MIA): 0.6836
Forget vs Retain Membership Inference Attack (MIA): 0.754
Forget vs Test Membership Inference Attack (MIA): 0.494
Test vs Retain Membership Inference Attack (MIA): 0.6665
Train vs Test Membership Inference Attack (MIA): 0.51125
Forget Set Accuracy (Df): 93.8073959350586
Method Execution Time: 2364.21 seconds
