
Retain class distribution for seed 3:
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 3:
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: 2.3920	LR: 0.000000
Training Epoch: 1 [512/47500]	Loss: 2.3366	LR: 0.000538
Training Epoch: 1 [768/47500]	Loss: 2.3210	LR: 0.001075
Training Epoch: 1 [1024/47500]	Loss: 2.3380	LR: 0.001613
Training Epoch: 1 [1280/47500]	Loss: 2.2945	LR: 0.002151
Training Epoch: 1 [1536/47500]	Loss: 2.2710	LR: 0.002688
Training Epoch: 1 [1792/47500]	Loss: 2.2435	LR: 0.003226
Training Epoch: 1 [2048/47500]	Loss: 2.2317	LR: 0.003763
Training Epoch: 1 [2304/47500]	Loss: 2.2060	LR: 0.004301
Training Epoch: 1 [2560/47500]	Loss: 2.2263	LR: 0.004839
Training Epoch: 1 [2816/47500]	Loss: 2.1503	LR: 0.005376
Training Epoch: 1 [3072/47500]	Loss: 2.2500	LR: 0.005914
Training Epoch: 1 [3328/47500]	Loss: 2.2682	LR: 0.006452
Training Epoch: 1 [3584/47500]	Loss: 2.1288	LR: 0.006989
Training Epoch: 1 [3840/47500]	Loss: 2.1407	LR: 0.007527
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Training Epoch: 1 [4352/47500]	Loss: 1.9480	LR: 0.008602
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Training Epoch: 1 [5120/47500]	Loss: 1.9370	LR: 0.010215
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Training Epoch: 1 [5632/47500]	Loss: 1.9231	LR: 0.011290
Training Epoch: 1 [5888/47500]	Loss: 1.8119	LR: 0.011828
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Training Epoch: 1 [7680/47500]	Loss: 2.0277	LR: 0.015591
Training Epoch: 1 [7936/47500]	Loss: 1.8604	LR: 0.016129
Training Epoch: 1 [8192/47500]	Loss: 1.9346	LR: 0.016667
Training Epoch: 1 [8448/47500]	Loss: 1.8276	LR: 0.017204
Training Epoch: 1 [8704/47500]	Loss: 1.8115	LR: 0.017742
Training Epoch: 1 [8960/47500]	Loss: 1.8269	LR: 0.018280
Training Epoch: 1 [9216/47500]	Loss: 1.8919	LR: 0.018817
Training Epoch: 1 [9472/47500]	Loss: 1.8411	LR: 0.019355
Training Epoch: 1 [9728/47500]	Loss: 1.8486	LR: 0.019892
Training Epoch: 1 [9984/47500]	Loss: 1.9609	LR: 0.020430
Training Epoch: 1 [10240/47500]	Loss: 1.8403	LR: 0.020968
Training Epoch: 1 [10496/47500]	Loss: 1.8440	LR: 0.021505
Training Epoch: 1 [10752/47500]	Loss: 1.9110	LR: 0.022043
Training Epoch: 1 [11008/47500]	Loss: 1.8390	LR: 0.022581
Training Epoch: 1 [11264/47500]	Loss: 1.7716	LR: 0.023118
Training Epoch: 1 [11520/47500]	Loss: 1.7641	LR: 0.023656
Training Epoch: 1 [11776/47500]	Loss: 1.7148	LR: 0.024194
Training Epoch: 1 [12032/47500]	Loss: 1.8267	LR: 0.024731
Training Epoch: 1 [12288/47500]	Loss: 1.6968	LR: 0.025269
Training Epoch: 1 [12544/47500]	Loss: 1.6728	LR: 0.025806
Training Epoch: 1 [12800/47500]	Loss: 1.9097	LR: 0.026344
Training Epoch: 1 [13056/47500]	Loss: 1.6696	LR: 0.026882
Training Epoch: 1 [13312/47500]	Loss: 1.7985	LR: 0.027419
Training Epoch: 1 [13568/47500]	Loss: 1.7816	LR: 0.027957
Training Epoch: 1 [13824/47500]	Loss: 1.7420	LR: 0.028495
Training Epoch: 1 [14080/47500]	Loss: 1.8129	LR: 0.029032
Training Epoch: 1 [14336/47500]	Loss: 1.8427	LR: 0.029570
Training Epoch: 1 [14592/47500]	Loss: 1.7027	LR: 0.030108
Training Epoch: 1 [14848/47500]	Loss: 1.7987	LR: 0.030645
Training Epoch: 1 [15104/47500]	Loss: 1.8215	LR: 0.031183
Training Epoch: 1 [15360/47500]	Loss: 1.7213	LR: 0.031720
Training Epoch: 1 [15616/47500]	Loss: 1.8531	LR: 0.032258
Training Epoch: 1 [15872/47500]	Loss: 1.8551	LR: 0.032796
Training Epoch: 1 [16128/47500]	Loss: 1.8017	LR: 0.033333
Training Epoch: 1 [16384/47500]	Loss: 1.7004	LR: 0.033871
Training Epoch: 1 [16640/47500]	Loss: 1.7581	LR: 0.034409
Training Epoch: 1 [16896/47500]	Loss: 1.7318	LR: 0.034946
Training Epoch: 1 [17152/47500]	Loss: 1.7494	LR: 0.035484
Training Epoch: 1 [17408/47500]	Loss: 1.8595	LR: 0.036022
Training Epoch: 1 [17664/47500]	Loss: 1.7010	LR: 0.036559
Training Epoch: 1 [17920/47500]	Loss: 1.5587	LR: 0.037097
Training Epoch: 1 [18176/47500]	Loss: 1.8011	LR: 0.037634
Training Epoch: 1 [18432/47500]	Loss: 1.7856	LR: 0.038172
Training Epoch: 1 [18688/47500]	Loss: 1.7268	LR: 0.038710
Training Epoch: 1 [18944/47500]	Loss: 1.7004	LR: 0.039247
Training Epoch: 1 [19200/47500]	Loss: 1.8285	LR: 0.039785
Training Epoch: 1 [19456/47500]	Loss: 1.5738	LR: 0.040323
Training Epoch: 1 [19712/47500]	Loss: 1.7000	LR: 0.040860
Training Epoch: 1 [19968/47500]	Loss: 1.7122	LR: 0.041398
Training Epoch: 1 [20224/47500]	Loss: 1.7513	LR: 0.041935
Training Epoch: 1 [20480/47500]	Loss: 1.4617	LR: 0.042473
Training Epoch: 1 [20736/47500]	Loss: 1.8359	LR: 0.043011
Training Epoch: 1 [20992/47500]	Loss: 1.7049	LR: 0.043548
Training Epoch: 1 [21248/47500]	Loss: 1.7013	LR: 0.044086
Training Epoch: 1 [21504/47500]	Loss: 1.6828	LR: 0.044624
Training Epoch: 1 [21760/47500]	Loss: 1.7430	LR: 0.045161
Training Epoch: 1 [22016/47500]	Loss: 1.8274	LR: 0.045699
Training Epoch: 1 [22272/47500]	Loss: 1.6446	LR: 0.046237
Training Epoch: 1 [22528/47500]	Loss: 1.6146	LR: 0.046774
Training Epoch: 1 [22784/47500]	Loss: 1.5875	LR: 0.047312
Training Epoch: 1 [23040/47500]	Loss: 1.6201	LR: 0.047849
Training Epoch: 1 [23296/47500]	Loss: 1.5831	LR: 0.048387
Training Epoch: 1 [23552/47500]	Loss: 1.6895	LR: 0.048925
Training Epoch: 1 [23808/47500]	Loss: 1.6570	LR: 0.049462
Training Epoch: 1 [24064/47500]	Loss: 1.6942	LR: 0.050000
Training Epoch: 1 [24320/47500]	Loss: 1.5258	LR: 0.050538
Training Epoch: 1 [24576/47500]	Loss: 1.7836	LR: 0.051075
Training Epoch: 1 [24832/47500]	Loss: 1.7593	LR: 0.051613
Training Epoch: 1 [25088/47500]	Loss: 1.6649	LR: 0.052151
Training Epoch: 1 [25344/47500]	Loss: 1.6041	LR: 0.052688
Training Epoch: 1 [25600/47500]	Loss: 1.6570	LR: 0.053226
Training Epoch: 1 [25856/47500]	Loss: 1.7065	LR: 0.053763
Training Epoch: 1 [26112/47500]	Loss: 1.7378	LR: 0.054301
Training Epoch: 1 [26368/47500]	Loss: 1.7225	LR: 0.054839
Training Epoch: 1 [26624/47500]	Loss: 1.7275	LR: 0.055376
Training Epoch: 1 [26880/47500]	Loss: 1.6897	LR: 0.055914
Training Epoch: 1 [27136/47500]	Loss: 1.8755	LR: 0.056452
Training Epoch: 1 [27392/47500]	Loss: 1.6435	LR: 0.056989
Training Epoch: 1 [27648/47500]	Loss: 1.5557	LR: 0.057527
Training Epoch: 1 [27904/47500]	Loss: 1.6787	LR: 0.058065
Training Epoch: 1 [28160/47500]	Loss: 1.5954	LR: 0.058602
Training Epoch: 1 [28416/47500]	Loss: 1.5633	LR: 0.059140
Training Epoch: 1 [28672/47500]	Loss: 1.6290	LR: 0.059677
Training Epoch: 1 [28928/47500]	Loss: 1.6574	LR: 0.060215
Training Epoch: 1 [29184/47500]	Loss: 1.5880	LR: 0.060753
Training Epoch: 1 [29440/47500]	Loss: 1.5659	LR: 0.061290
Training Epoch: 1 [29696/47500]	Loss: 1.6507	LR: 0.061828
Training Epoch: 1 [29952/47500]	Loss: 1.5311	LR: 0.062366
Training Epoch: 1 [30208/47500]	Loss: 1.4978	LR: 0.062903
Training Epoch: 1 [30464/47500]	Loss: 1.4573	LR: 0.063441
Training Epoch: 1 [30720/47500]	Loss: 1.6680	LR: 0.063978
Training Epoch: 1 [30976/47500]	Loss: 1.6373	LR: 0.064516
Training Epoch: 1 [31232/47500]	Loss: 1.5198	LR: 0.065054
Training Epoch: 1 [31488/47500]	Loss: 1.6081	LR: 0.065591
Training Epoch: 1 [31744/47500]	Loss: 1.8560	LR: 0.066129
Training Epoch: 1 [32000/47500]	Loss: 1.5682	LR: 0.066667
Training Epoch: 1 [32256/47500]	Loss: 1.4683	LR: 0.067204
Training Epoch: 1 [32512/47500]	Loss: 1.4833	LR: 0.067742
Training Epoch: 1 [32768/47500]	Loss: 1.6058	LR: 0.068280
Training Epoch: 1 [33024/47500]	Loss: 1.4703	LR: 0.068817
Training Epoch: 1 [33280/47500]	Loss: 1.4342	LR: 0.069355
Training Epoch: 1 [33536/47500]	Loss: 1.6502	LR: 0.069892
Training Epoch: 1 [33792/47500]	Loss: 1.4304	LR: 0.070430
Training Epoch: 1 [34048/47500]	Loss: 1.5148	LR: 0.070968
Training Epoch: 1 [34304/47500]	Loss: 1.5278	LR: 0.071505
Training Epoch: 1 [34560/47500]	Loss: 1.5751	LR: 0.072043
Training Epoch: 1 [34816/47500]	Loss: 1.5189	LR: 0.072581
Training Epoch: 1 [35072/47500]	Loss: 1.5736	LR: 0.073118
Training Epoch: 1 [35328/47500]	Loss: 1.5598	LR: 0.073656
Training Epoch: 1 [35584/47500]	Loss: 1.4838	LR: 0.074194
Training Epoch: 1 [35840/47500]	Loss: 1.5513	LR: 0.074731
Training Epoch: 1 [36096/47500]	Loss: 1.5786	LR: 0.075269
Training Epoch: 1 [36352/47500]	Loss: 1.5939	LR: 0.075806
Training Epoch: 1 [36608/47500]	Loss: 1.5609	LR: 0.076344
Training Epoch: 1 [36864/47500]	Loss: 1.6363	LR: 0.076882
Training Epoch: 1 [37120/47500]	Loss: 1.5505	LR: 0.077419
Training Epoch: 1 [37376/47500]	Loss: 1.6443	LR: 0.077957
Training Epoch: 1 [37632/47500]	Loss: 1.5127	LR: 0.078495
Training Epoch: 1 [37888/47500]	Loss: 1.6778	LR: 0.079032
Training Epoch: 1 [38144/47500]	Loss: 1.5824	LR: 0.079570
Training Epoch: 1 [38400/47500]	Loss: 1.4950	LR: 0.080108
Training Epoch: 1 [38656/47500]	Loss: 1.5173	LR: 0.080645
Training Epoch: 1 [38912/47500]	Loss: 1.5264	LR: 0.081183
Training Epoch: 1 [39168/47500]	Loss: 1.5356	LR: 0.081720
Training Epoch: 1 [39424/47500]	Loss: 1.3638	LR: 0.082258
Training Epoch: 1 [39680/47500]	Loss: 1.4896	LR: 0.082796
Training Epoch: 1 [39936/47500]	Loss: 1.5954	LR: 0.083333
Training Epoch: 1 [40192/47500]	Loss: 1.4206	LR: 0.083871
Training Epoch: 1 [40448/47500]	Loss: 1.4450	LR: 0.084409
Training Epoch: 1 [40704/47500]	Loss: 1.5217	LR: 0.084946
Training Epoch: 1 [40960/47500]	Loss: 1.6595	LR: 0.085484
Training Epoch: 1 [41216/47500]	Loss: 1.3504	LR: 0.086022
Training Epoch: 1 [41472/47500]	Loss: 1.4793	LR: 0.086559
Training Epoch: 1 [41728/47500]	Loss: 1.7932	LR: 0.087097
Training Epoch: 1 [41984/47500]	Loss: 1.4178	LR: 0.087634
Training Epoch: 1 [42240/47500]	Loss: 1.7785	LR: 0.088172
Training Epoch: 1 [42496/47500]	Loss: 1.4593	LR: 0.088710
Training Epoch: 1 [42752/47500]	Loss: 1.5494	LR: 0.089247
Training Epoch: 1 [43008/47500]	Loss: 1.4125	LR: 0.089785
Training Epoch: 1 [43264/47500]	Loss: 1.6527	LR: 0.090323
Training Epoch: 1 [43520/47500]	Loss: 1.6198	LR: 0.090860
Training Epoch: 1 [43776/47500]	Loss: 1.4772	LR: 0.091398
Training Epoch: 1 [44032/47500]	Loss: 1.6138	LR: 0.091935
Training Epoch: 1 [44288/47500]	Loss: 1.7934	LR: 0.092473
Training Epoch: 1 [44544/47500]	Loss: 1.5949	LR: 0.093011
Training Epoch: 1 [44800/47500]	Loss: 1.6600	LR: 0.093548
Training Epoch: 1 [45056/47500]	Loss: 1.4274	LR: 0.094086
Training Epoch: 1 [45312/47500]	Loss: 1.5705	LR: 0.094624
Training Epoch: 1 [45568/47500]	Loss: 1.6033	LR: 0.095161
Training Epoch: 1 [45824/47500]	Loss: 1.5221	LR: 0.095699
Training Epoch: 1 [46080/47500]	Loss: 1.4696	LR: 0.096237
Training Epoch: 1 [46336/47500]	Loss: 1.6381	LR: 0.096774
Training Epoch: 1 [46592/47500]	Loss: 1.4340	LR: 0.097312
Training Epoch: 1 [46848/47500]	Loss: 1.5878	LR: 0.097849
Training Epoch: 1 [47104/47500]	Loss: 1.6587	LR: 0.098387
Training Epoch: 1 [47360/47500]	Loss: 1.4592	LR: 0.098925
Training Epoch: 1 [47500/47500]	Loss: 1.4308	LR: 0.099462
Epoch 1 - Average Train Loss: 1.7237, Train Accuracy: 0.3689
Epoch 1 training time consumed: 29.15s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0072, Accuracy: 0.3943, Time consumed:1.02s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_12h_21m_59s/ResNet18-Cifar10-seed3-ret50-1-best.pth
Training Epoch: 2 [256/47500]	Loss: 1.5213	LR: 0.100000
Training Epoch: 2 [512/47500]	Loss: 1.5185	LR: 0.100000
Training Epoch: 2 [768/47500]	Loss: 1.4467	LR: 0.100000
Training Epoch: 2 [1024/47500]	Loss: 1.6137	LR: 0.100000
Training Epoch: 2 [1280/47500]	Loss: 1.3966	LR: 0.100000
Training Epoch: 2 [1536/47500]	Loss: 1.4242	LR: 0.100000
Training Epoch: 2 [1792/47500]	Loss: 1.6411	LR: 0.100000
Training Epoch: 2 [2048/47500]	Loss: 1.6153	LR: 0.100000
Training Epoch: 2 [2304/47500]	Loss: 1.3575	LR: 0.100000
Training Epoch: 2 [2560/47500]	Loss: 1.5571	LR: 0.100000
Training Epoch: 2 [2816/47500]	Loss: 1.5718	LR: 0.100000
Training Epoch: 2 [3072/47500]	Loss: 1.5742	LR: 0.100000
Training Epoch: 2 [3328/47500]	Loss: 1.3785	LR: 0.100000
Training Epoch: 2 [3584/47500]	Loss: 1.5806	LR: 0.100000
Training Epoch: 2 [3840/47500]	Loss: 1.4860	LR: 0.100000
Training Epoch: 2 [4096/47500]	Loss: 1.3628	LR: 0.100000
Training Epoch: 2 [4352/47500]	Loss: 1.2740	LR: 0.100000
Training Epoch: 2 [4608/47500]	Loss: 1.3067	LR: 0.100000
Training Epoch: 2 [4864/47500]	Loss: 1.4579	LR: 0.100000
Training Epoch: 2 [5120/47500]	Loss: 1.2896	LR: 0.100000
Training Epoch: 2 [5376/47500]	Loss: 1.3315	LR: 0.100000
Training Epoch: 2 [5632/47500]	Loss: 1.4161	LR: 0.100000
Training Epoch: 2 [5888/47500]	Loss: 1.2577	LR: 0.100000
Training Epoch: 2 [6144/47500]	Loss: 1.3113	LR: 0.100000
Training Epoch: 2 [6400/47500]	Loss: 1.4821	LR: 0.100000
Training Epoch: 2 [6656/47500]	Loss: 1.3840	LR: 0.100000
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Training Epoch: 2 [7168/47500]	Loss: 1.5234	LR: 0.100000
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Training Epoch: 2 [7680/47500]	Loss: 1.3173	LR: 0.100000
Training Epoch: 2 [7936/47500]	Loss: 1.4398	LR: 0.100000
Training Epoch: 2 [8192/47500]	Loss: 1.3246	LR: 0.100000
Training Epoch: 2 [8448/47500]	Loss: 1.4647	LR: 0.100000
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Training Epoch: 2 [10496/47500]	Loss: 1.2219	LR: 0.100000
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Training Epoch: 2 [11776/47500]	Loss: 1.3317	LR: 0.100000
Training Epoch: 2 [12032/47500]	Loss: 1.3123	LR: 0.100000
Training Epoch: 2 [12288/47500]	Loss: 1.4549	LR: 0.100000
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Training Epoch: 2 [12800/47500]	Loss: 1.3249	LR: 0.100000
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Training Epoch: 2 [13568/47500]	Loss: 1.2961	LR: 0.100000
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Training Epoch: 2 [16896/47500]	Loss: 1.2908	LR: 0.100000
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Training Epoch: 2 [17408/47500]	Loss: 1.1989	LR: 0.100000
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Training Epoch: 2 [18688/47500]	Loss: 1.2904	LR: 0.100000
Training Epoch: 2 [18944/47500]	Loss: 1.2015	LR: 0.100000
Training Epoch: 2 [19200/47500]	Loss: 1.2962	LR: 0.100000
Training Epoch: 2 [19456/47500]	Loss: 1.2413	LR: 0.100000
Training Epoch: 2 [19712/47500]	Loss: 1.2443	LR: 0.100000
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Training Epoch: 2 [20224/47500]	Loss: 1.2944	LR: 0.100000
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Training Epoch: 2 [20736/47500]	Loss: 1.1959	LR: 0.100000
Training Epoch: 2 [20992/47500]	Loss: 1.2956	LR: 0.100000
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Training Epoch: 2 [21504/47500]	Loss: 1.2669	LR: 0.100000
Training Epoch: 2 [21760/47500]	Loss: 1.2539	LR: 0.100000
Training Epoch: 2 [22016/47500]	Loss: 1.2440	LR: 0.100000
Training Epoch: 2 [22272/47500]	Loss: 1.2121	LR: 0.100000
Training Epoch: 2 [22528/47500]	Loss: 1.1860	LR: 0.100000
Training Epoch: 2 [22784/47500]	Loss: 1.2212	LR: 0.100000
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Training Epoch: 2 [47360/47500]	Loss: 1.0555	LR: 0.100000
Training Epoch: 2 [47500/47500]	Loss: 1.1992	LR: 0.100000
Epoch 2 - Average Train Loss: 1.2235, Train Accuracy: 0.5604
Epoch 2 training time consumed: 28.49s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0060, Accuracy: 0.5394, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_12h_21m_59s/ResNet18-Cifar10-seed3-ret50-2-best.pth
Training Epoch: 3 [256/47500]	Loss: 0.9954	LR: 0.100000
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Training Epoch: 3 [47500/47500]	Loss: 0.7636	LR: 0.100000
Epoch 3 - Average Train Loss: 0.9659, Train Accuracy: 0.6583
Epoch 3 training time consumed: 28.58s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0042, Accuracy: 0.6326, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_12h_21m_59s/ResNet18-Cifar10-seed3-ret50-3-best.pth
Training Epoch: 4 [256/47500]	Loss: 0.7877	LR: 0.100000
Training Epoch: 4 [512/47500]	Loss: 0.9144	LR: 0.100000
Training Epoch: 4 [768/47500]	Loss: 0.9951	LR: 0.100000
Training Epoch: 4 [1024/47500]	Loss: 0.8899	LR: 0.100000
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Training Epoch: 4 [1536/47500]	Loss: 0.7934	LR: 0.100000
Training Epoch: 4 [1792/47500]	Loss: 0.8966	LR: 0.100000
Training Epoch: 4 [2048/47500]	Loss: 0.8721	LR: 0.100000
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Epoch 4 - Average Train Loss: 0.8083, Train Accuracy: 0.7157
Epoch 4 training time consumed: 28.94s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0035, Accuracy: 0.6994, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_12h_21m_59s/ResNet18-Cifar10-seed3-ret50-4-best.pth
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Training Epoch: 5 [47500/47500]	Loss: 0.6950	LR: 0.100000
Epoch 5 - Average Train Loss: 0.7097, Train Accuracy: 0.7523
Epoch 5 training time consumed: 28.62s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0027, Accuracy: 0.7707, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_12h_21m_59s/ResNet18-Cifar10-seed3-ret50-5-best.pth
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Epoch 6 - Average Train Loss: 0.6442, Train Accuracy: 0.7762
Epoch 6 training time consumed: 28.73s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0030, Accuracy: 0.7568, Time consumed:1.00s
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Training Epoch: 7 [11008/47500]	Loss: 0.5783	LR: 0.100000
Training Epoch: 7 [11264/47500]	Loss: 0.7181	LR: 0.100000
Training Epoch: 7 [11520/47500]	Loss: 0.5882	LR: 0.100000
Training Epoch: 7 [11776/47500]	Loss: 0.7686	LR: 0.100000
Training Epoch: 7 [12032/47500]	Loss: 0.5743	LR: 0.100000
Training Epoch: 7 [12288/47500]	Loss: 0.5387	LR: 0.100000
Training Epoch: 7 [12544/47500]	Loss: 0.5698	LR: 0.100000
Training Epoch: 7 [12800/47500]	Loss: 0.5442	LR: 0.100000
Training Epoch: 7 [13056/47500]	Loss: 0.6123	LR: 0.100000
Training Epoch: 7 [13312/47500]	Loss: 0.5429	LR: 0.100000
Training Epoch: 7 [13568/47500]	Loss: 0.6733	LR: 0.100000
Training Epoch: 7 [13824/47500]	Loss: 0.5344	LR: 0.100000
Training Epoch: 7 [14080/47500]	Loss: 0.4913	LR: 0.100000
Training Epoch: 7 [14336/47500]	Loss: 0.7166	LR: 0.100000
Training Epoch: 7 [14592/47500]	Loss: 0.5040	LR: 0.100000
Training Epoch: 7 [14848/47500]	Loss: 0.5348	LR: 0.100000
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Training Epoch: 7 [15360/47500]	Loss: 0.5631	LR: 0.100000
Training Epoch: 7 [15616/47500]	Loss: 0.6555	LR: 0.100000
Training Epoch: 7 [15872/47500]	Loss: 0.6020	LR: 0.100000
Training Epoch: 7 [16128/47500]	Loss: 0.5238	LR: 0.100000
Training Epoch: 7 [16384/47500]	Loss: 0.6491	LR: 0.100000
Training Epoch: 7 [16640/47500]	Loss: 0.4683	LR: 0.100000
Training Epoch: 7 [16896/47500]	Loss: 0.6808	LR: 0.100000
Training Epoch: 7 [17152/47500]	Loss: 0.5045	LR: 0.100000
Training Epoch: 7 [17408/47500]	Loss: 0.5513	LR: 0.100000
Training Epoch: 7 [17664/47500]	Loss: 0.6419	LR: 0.100000
Training Epoch: 7 [17920/47500]	Loss: 0.6044	LR: 0.100000
Training Epoch: 7 [18176/47500]	Loss: 0.5228	LR: 0.100000
Training Epoch: 7 [18432/47500]	Loss: 0.5051	LR: 0.100000
Training Epoch: 7 [18688/47500]	Loss: 0.6210	LR: 0.100000
Training Epoch: 7 [18944/47500]	Loss: 0.5842	LR: 0.100000
Training Epoch: 7 [19200/47500]	Loss: 0.5668	LR: 0.100000
Training Epoch: 7 [19456/47500]	Loss: 0.6149	LR: 0.100000
Training Epoch: 7 [19712/47500]	Loss: 0.6724	LR: 0.100000
Training Epoch: 7 [19968/47500]	Loss: 0.5608	LR: 0.100000
Training Epoch: 7 [20224/47500]	Loss: 0.5481	LR: 0.100000
Training Epoch: 7 [20480/47500]	Loss: 0.5733	LR: 0.100000
Training Epoch: 7 [20736/47500]	Loss: 0.4809	LR: 0.100000
Training Epoch: 7 [20992/47500]	Loss: 0.6486	LR: 0.100000
Training Epoch: 7 [21248/47500]	Loss: 0.7113	LR: 0.100000
Training Epoch: 7 [21504/47500]	Loss: 0.5610	LR: 0.100000
Training Epoch: 7 [21760/47500]	Loss: 0.5906	LR: 0.100000
Training Epoch: 7 [22016/47500]	Loss: 0.6858	LR: 0.100000
Training Epoch: 7 [22272/47500]	Loss: 0.5640	LR: 0.100000
Training Epoch: 7 [22528/47500]	Loss: 0.5563	LR: 0.100000
Training Epoch: 7 [22784/47500]	Loss: 0.5853	LR: 0.100000
Training Epoch: 7 [23040/47500]	Loss: 0.5676	LR: 0.100000
Training Epoch: 7 [23296/47500]	Loss: 0.5796	LR: 0.100000
Training Epoch: 7 [23552/47500]	Loss: 0.5340	LR: 0.100000
Training Epoch: 7 [23808/47500]	Loss: 0.5300	LR: 0.100000
Training Epoch: 7 [24064/47500]	Loss: 0.4958	LR: 0.100000
Training Epoch: 7 [24320/47500]	Loss: 0.6300	LR: 0.100000
Training Epoch: 7 [24576/47500]	Loss: 0.5302	LR: 0.100000
Training Epoch: 7 [24832/47500]	Loss: 0.4900	LR: 0.100000
Training Epoch: 7 [25088/47500]	Loss: 0.4991	LR: 0.100000
Training Epoch: 7 [25344/47500]	Loss: 0.5480	LR: 0.100000
Training Epoch: 7 [25600/47500]	Loss: 0.7319	LR: 0.100000
Training Epoch: 7 [25856/47500]	Loss: 0.7730	LR: 0.100000
Training Epoch: 7 [26112/47500]	Loss: 0.4753	LR: 0.100000
Training Epoch: 7 [26368/47500]	Loss: 0.6648	LR: 0.100000
Training Epoch: 7 [26624/47500]	Loss: 0.6185	LR: 0.100000
Training Epoch: 7 [26880/47500]	Loss: 0.7050	LR: 0.100000
Training Epoch: 7 [27136/47500]	Loss: 0.5818	LR: 0.100000
Training Epoch: 7 [27392/47500]	Loss: 0.5808	LR: 0.100000
Training Epoch: 7 [27648/47500]	Loss: 0.6285	LR: 0.100000
Training Epoch: 7 [27904/47500]	Loss: 0.6628	LR: 0.100000
Training Epoch: 7 [28160/47500]	Loss: 0.4707	LR: 0.100000
Training Epoch: 7 [28416/47500]	Loss: 0.5313	LR: 0.100000
Training Epoch: 7 [28672/47500]	Loss: 0.5224	LR: 0.100000
Training Epoch: 7 [28928/47500]	Loss: 0.6148	LR: 0.100000
Training Epoch: 7 [29184/47500]	Loss: 0.6141	LR: 0.100000
Training Epoch: 7 [29440/47500]	Loss: 0.6294	LR: 0.100000
Training Epoch: 7 [29696/47500]	Loss: 0.5567	LR: 0.100000
Training Epoch: 7 [29952/47500]	Loss: 0.5894	LR: 0.100000
Training Epoch: 7 [30208/47500]	Loss: 0.7203	LR: 0.100000
Training Epoch: 7 [30464/47500]	Loss: 0.5888	LR: 0.100000
Training Epoch: 7 [30720/47500]	Loss: 0.4988	LR: 0.100000
Training Epoch: 7 [30976/47500]	Loss: 0.6628	LR: 0.100000
Training Epoch: 7 [31232/47500]	Loss: 0.5245	LR: 0.100000
Training Epoch: 7 [31488/47500]	Loss: 0.5510	LR: 0.100000
Training Epoch: 7 [31744/47500]	Loss: 0.4528	LR: 0.100000
Training Epoch: 7 [32000/47500]	Loss: 0.5319	LR: 0.100000
Training Epoch: 7 [32256/47500]	Loss: 0.5408	LR: 0.100000
Training Epoch: 7 [32512/47500]	Loss: 0.6982	LR: 0.100000
Training Epoch: 7 [32768/47500]	Loss: 0.6555	LR: 0.100000
Training Epoch: 7 [33024/47500]	Loss: 0.6417	LR: 0.100000
Training Epoch: 7 [33280/47500]	Loss: 0.5608	LR: 0.100000
Training Epoch: 7 [33536/47500]	Loss: 0.5555	LR: 0.100000
Training Epoch: 7 [33792/47500]	Loss: 0.5844	LR: 0.100000
Training Epoch: 7 [34048/47500]	Loss: 0.5693	LR: 0.100000
Training Epoch: 7 [34304/47500]	Loss: 0.5653	LR: 0.100000
Training Epoch: 7 [34560/47500]	Loss: 0.5572	LR: 0.100000
Training Epoch: 7 [34816/47500]	Loss: 0.6246	LR: 0.100000
Training Epoch: 7 [35072/47500]	Loss: 0.5946	LR: 0.100000
Training Epoch: 7 [35328/47500]	Loss: 0.5637	LR: 0.100000
Training Epoch: 7 [35584/47500]	Loss: 0.6071	LR: 0.100000
Training Epoch: 7 [35840/47500]	Loss: 0.6440	LR: 0.100000
Training Epoch: 7 [36096/47500]	Loss: 0.5237	LR: 0.100000
Training Epoch: 7 [36352/47500]	Loss: 0.5403	LR: 0.100000
Training Epoch: 7 [36608/47500]	Loss: 0.5318	LR: 0.100000
Training Epoch: 7 [36864/47500]	Loss: 0.5981	LR: 0.100000
Training Epoch: 7 [37120/47500]	Loss: 0.7011	LR: 0.100000
Training Epoch: 7 [37376/47500]	Loss: 0.5541	LR: 0.100000
Training Epoch: 7 [37632/47500]	Loss: 0.6320	LR: 0.100000
Training Epoch: 7 [37888/47500]	Loss: 0.5585	LR: 0.100000
Training Epoch: 7 [38144/47500]	Loss: 0.6542	LR: 0.100000
Training Epoch: 7 [38400/47500]	Loss: 0.6437	LR: 0.100000
Training Epoch: 7 [38656/47500]	Loss: 0.5928	LR: 0.100000
Training Epoch: 7 [38912/47500]	Loss: 0.5557	LR: 0.100000
Training Epoch: 7 [39168/47500]	Loss: 0.6258	LR: 0.100000
Training Epoch: 7 [39424/47500]	Loss: 0.6697	LR: 0.100000
Training Epoch: 7 [39680/47500]	Loss: 0.5412	LR: 0.100000
Training Epoch: 7 [39936/47500]	Loss: 0.5642	LR: 0.100000
Training Epoch: 7 [40192/47500]	Loss: 0.5678	LR: 0.100000
Training Epoch: 7 [40448/47500]	Loss: 0.5877	LR: 0.100000
Training Epoch: 7 [40704/47500]	Loss: 0.6010	LR: 0.100000
Training Epoch: 7 [40960/47500]	Loss: 0.6614	LR: 0.100000
Training Epoch: 7 [41216/47500]	Loss: 0.6305	LR: 0.100000
Training Epoch: 7 [41472/47500]	Loss: 0.5452	LR: 0.100000
Training Epoch: 7 [41728/47500]	Loss: 0.6437	LR: 0.100000
Training Epoch: 7 [41984/47500]	Loss: 0.5423	LR: 0.100000
Training Epoch: 7 [42240/47500]	Loss: 0.5677	LR: 0.100000
Training Epoch: 7 [42496/47500]	Loss: 0.5307	LR: 0.100000
Training Epoch: 7 [42752/47500]	Loss: 0.7430	LR: 0.100000
Training Epoch: 7 [43008/47500]	Loss: 0.5196	LR: 0.100000
Training Epoch: 7 [43264/47500]	Loss: 0.5800	LR: 0.100000
Training Epoch: 7 [43520/47500]	Loss: 0.5389	LR: 0.100000
Training Epoch: 7 [43776/47500]	Loss: 0.5746	LR: 0.100000
Training Epoch: 7 [44032/47500]	Loss: 0.5796	LR: 0.100000
Training Epoch: 7 [44288/47500]	Loss: 0.5490	LR: 0.100000
Training Epoch: 7 [44544/47500]	Loss: 0.5924	LR: 0.100000
Training Epoch: 7 [44800/47500]	Loss: 0.6232	LR: 0.100000
Training Epoch: 7 [45056/47500]	Loss: 0.6873	LR: 0.100000
Training Epoch: 7 [45312/47500]	Loss: 0.6195	LR: 0.100000
Training Epoch: 7 [45568/47500]	Loss: 0.6497	LR: 0.100000
Training Epoch: 7 [45824/47500]	Loss: 0.6187	LR: 0.100000
Training Epoch: 7 [46080/47500]	Loss: 0.4906	LR: 0.100000
Training Epoch: 7 [46336/47500]	Loss: 0.6040	LR: 0.100000
Training Epoch: 7 [46592/47500]	Loss: 0.5060	LR: 0.100000
Training Epoch: 7 [46848/47500]	Loss: 0.5978	LR: 0.100000
Training Epoch: 7 [47104/47500]	Loss: 0.6327	LR: 0.100000
Training Epoch: 7 [47360/47500]	Loss: 0.7467	LR: 0.100000
Training Epoch: 7 [47500/47500]	Loss: 0.5496	LR: 0.100000
Epoch 7 - Average Train Loss: 0.5922, Train Accuracy: 0.7949
Epoch 7 training time consumed: 28.76s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0029, Accuracy: 0.7666, Time consumed:1.04s
Training Epoch: 8 [256/47500]	Loss: 0.5347	LR: 0.020000
Training Epoch: 8 [512/47500]	Loss: 0.6307	LR: 0.020000
Training Epoch: 8 [768/47500]	Loss: 0.5938	LR: 0.020000
Training Epoch: 8 [1024/47500]	Loss: 0.6712	LR: 0.020000
Training Epoch: 8 [1280/47500]	Loss: 0.5512	LR: 0.020000
Training Epoch: 8 [1536/47500]	Loss: 0.5324	LR: 0.020000
Training Epoch: 8 [1792/47500]	Loss: 0.4357	LR: 0.020000
Training Epoch: 8 [2048/47500]	Loss: 0.4636	LR: 0.020000
Training Epoch: 8 [2304/47500]	Loss: 0.5645	LR: 0.020000
Training Epoch: 8 [2560/47500]	Loss: 0.5221	LR: 0.020000
Training Epoch: 8 [2816/47500]	Loss: 0.4696	LR: 0.020000
Training Epoch: 8 [3072/47500]	Loss: 0.5550	LR: 0.020000
Training Epoch: 8 [3328/47500]	Loss: 0.4601	LR: 0.020000
Training Epoch: 8 [3584/47500]	Loss: 0.4639	LR: 0.020000
Training Epoch: 8 [3840/47500]	Loss: 0.5324	LR: 0.020000
Training Epoch: 8 [4096/47500]	Loss: 0.4919	LR: 0.020000
Training Epoch: 8 [4352/47500]	Loss: 0.4842	LR: 0.020000
Training Epoch: 8 [4608/47500]	Loss: 0.5033	LR: 0.020000
Training Epoch: 8 [4864/47500]	Loss: 0.5555	LR: 0.020000
Training Epoch: 8 [5120/47500]	Loss: 0.4436	LR: 0.020000
Training Epoch: 8 [5376/47500]	Loss: 0.4946	LR: 0.020000
Training Epoch: 8 [5632/47500]	Loss: 0.5756	LR: 0.020000
Training Epoch: 8 [5888/47500]	Loss: 0.4477	LR: 0.020000
Training Epoch: 8 [6144/47500]	Loss: 0.4826	LR: 0.020000
Training Epoch: 8 [6400/47500]	Loss: 0.4551	LR: 0.020000
Training Epoch: 8 [6656/47500]	Loss: 0.5094	LR: 0.020000
Training Epoch: 8 [6912/47500]	Loss: 0.4966	LR: 0.020000
Training Epoch: 8 [7168/47500]	Loss: 0.5487	LR: 0.020000
Training Epoch: 8 [7424/47500]	Loss: 0.3944	LR: 0.020000
Training Epoch: 8 [7680/47500]	Loss: 0.4639	LR: 0.020000
Training Epoch: 8 [7936/47500]	Loss: 0.3789	LR: 0.020000
Training Epoch: 8 [8192/47500]	Loss: 0.5401	LR: 0.020000
Training Epoch: 8 [8448/47500]	Loss: 0.4948	LR: 0.020000
Training Epoch: 8 [8704/47500]	Loss: 0.4400	LR: 0.020000
Training Epoch: 8 [8960/47500]	Loss: 0.4617	LR: 0.020000
Training Epoch: 8 [9216/47500]	Loss: 0.5219	LR: 0.020000
Training Epoch: 8 [9472/47500]	Loss: 0.4493	LR: 0.020000
Training Epoch: 8 [9728/47500]	Loss: 0.4683	LR: 0.020000
Training Epoch: 8 [9984/47500]	Loss: 0.4171	LR: 0.020000
Training Epoch: 8 [10240/47500]	Loss: 0.5010	LR: 0.020000
Training Epoch: 8 [10496/47500]	Loss: 0.4416	LR: 0.020000
Training Epoch: 8 [10752/47500]	Loss: 0.4220	LR: 0.020000
Training Epoch: 8 [11008/47500]	Loss: 0.4163	LR: 0.020000
Training Epoch: 8 [11264/47500]	Loss: 0.5514	LR: 0.020000
Training Epoch: 8 [11520/47500]	Loss: 0.3720	LR: 0.020000
Training Epoch: 8 [11776/47500]	Loss: 0.4732	LR: 0.020000
Training Epoch: 8 [12032/47500]	Loss: 0.3883	LR: 0.020000
Training Epoch: 8 [12288/47500]	Loss: 0.4363	LR: 0.020000
Training Epoch: 8 [12544/47500]	Loss: 0.5269	LR: 0.020000
Training Epoch: 8 [12800/47500]	Loss: 0.4775	LR: 0.020000
Training Epoch: 8 [13056/47500]	Loss: 0.5008	LR: 0.020000
Training Epoch: 8 [13312/47500]	Loss: 0.5031	LR: 0.020000
Training Epoch: 8 [13568/47500]	Loss: 0.4397	LR: 0.020000
Training Epoch: 8 [13824/47500]	Loss: 0.3583	LR: 0.020000
Training Epoch: 8 [14080/47500]	Loss: 0.3284	LR: 0.020000
Training Epoch: 8 [14336/47500]	Loss: 0.4141	LR: 0.020000
Training Epoch: 8 [14592/47500]	Loss: 0.4205	LR: 0.020000
Training Epoch: 8 [14848/47500]	Loss: 0.3649	LR: 0.020000
Training Epoch: 8 [15104/47500]	Loss: 0.4448	LR: 0.020000
Training Epoch: 8 [15360/47500]	Loss: 0.4308	LR: 0.020000
Training Epoch: 8 [15616/47500]	Loss: 0.4220	LR: 0.020000
Training Epoch: 8 [15872/47500]	Loss: 0.4285	LR: 0.020000
Training Epoch: 8 [16128/47500]	Loss: 0.4333	LR: 0.020000
Training Epoch: 8 [16384/47500]	Loss: 0.5099	LR: 0.020000
Training Epoch: 8 [16640/47500]	Loss: 0.3842	LR: 0.020000
Training Epoch: 8 [16896/47500]	Loss: 0.3995	LR: 0.020000
Training Epoch: 8 [17152/47500]	Loss: 0.3578	LR: 0.020000
Training Epoch: 8 [17408/47500]	Loss: 0.4598	LR: 0.020000
Training Epoch: 8 [17664/47500]	Loss: 0.4819	LR: 0.020000
Training Epoch: 8 [17920/47500]	Loss: 0.3729	LR: 0.020000
Training Epoch: 8 [18176/47500]	Loss: 0.4988	LR: 0.020000
Training Epoch: 8 [18432/47500]	Loss: 0.3490	LR: 0.020000
Training Epoch: 8 [18688/47500]	Loss: 0.3922	LR: 0.020000
Training Epoch: 8 [18944/47500]	Loss: 0.3397	LR: 0.020000
Training Epoch: 8 [19200/47500]	Loss: 0.4777	LR: 0.020000
Training Epoch: 8 [19456/47500]	Loss: 0.3796	LR: 0.020000
Training Epoch: 8 [19712/47500]	Loss: 0.4786	LR: 0.020000
Training Epoch: 8 [19968/47500]	Loss: 0.4017	LR: 0.020000
Training Epoch: 8 [20224/47500]	Loss: 0.5372	LR: 0.020000
Training Epoch: 8 [20480/47500]	Loss: 0.4442	LR: 0.020000
Training Epoch: 8 [20736/47500]	Loss: 0.4724	LR: 0.020000
Training Epoch: 8 [20992/47500]	Loss: 0.4387	LR: 0.020000
Training Epoch: 8 [21248/47500]	Loss: 0.4180	LR: 0.020000
Training Epoch: 8 [21504/47500]	Loss: 0.3815	LR: 0.020000
Training Epoch: 8 [21760/47500]	Loss: 0.3714	LR: 0.020000
Training Epoch: 8 [22016/47500]	Loss: 0.4971	LR: 0.020000
Training Epoch: 8 [22272/47500]	Loss: 0.4555	LR: 0.020000
Training Epoch: 8 [22528/47500]	Loss: 0.4135	LR: 0.020000
Training Epoch: 8 [22784/47500]	Loss: 0.4583	LR: 0.020000
Training Epoch: 8 [23040/47500]	Loss: 0.4244	LR: 0.020000
Training Epoch: 8 [23296/47500]	Loss: 0.4924	LR: 0.020000
Training Epoch: 8 [23552/47500]	Loss: 0.4459	LR: 0.020000
Training Epoch: 8 [23808/47500]	Loss: 0.4519	LR: 0.020000
Training Epoch: 8 [24064/47500]	Loss: 0.3847	LR: 0.020000
Training Epoch: 8 [24320/47500]	Loss: 0.4771	LR: 0.020000
Training Epoch: 8 [24576/47500]	Loss: 0.4476	LR: 0.020000
Training Epoch: 8 [24832/47500]	Loss: 0.4171	LR: 0.020000
Training Epoch: 8 [25088/47500]	Loss: 0.3623	LR: 0.020000
Training Epoch: 8 [25344/47500]	Loss: 0.3556	LR: 0.020000
Training Epoch: 8 [25600/47500]	Loss: 0.4099	LR: 0.020000
Training Epoch: 8 [25856/47500]	Loss: 0.4155	LR: 0.020000
Training Epoch: 8 [26112/47500]	Loss: 0.4455	LR: 0.020000
Training Epoch: 8 [26368/47500]	Loss: 0.2840	LR: 0.020000
Training Epoch: 8 [26624/47500]	Loss: 0.3502	LR: 0.020000
Training Epoch: 8 [26880/47500]	Loss: 0.4653	LR: 0.020000
Training Epoch: 8 [27136/47500]	Loss: 0.4616	LR: 0.020000
Training Epoch: 8 [27392/47500]	Loss: 0.4091	LR: 0.020000
Training Epoch: 8 [27648/47500]	Loss: 0.4788	LR: 0.020000
Training Epoch: 8 [27904/47500]	Loss: 0.3339	LR: 0.020000
Training Epoch: 8 [28160/47500]	Loss: 0.3512	LR: 0.020000
Training Epoch: 8 [28416/47500]	Loss: 0.4667	LR: 0.020000
Training Epoch: 8 [28672/47500]	Loss: 0.4581	LR: 0.020000
Training Epoch: 8 [28928/47500]	Loss: 0.4410	LR: 0.020000
Training Epoch: 8 [29184/47500]	Loss: 0.4243	LR: 0.020000
Training Epoch: 8 [29440/47500]	Loss: 0.4555	LR: 0.020000
Training Epoch: 8 [29696/47500]	Loss: 0.5168	LR: 0.020000
Training Epoch: 8 [29952/47500]	Loss: 0.4100	LR: 0.020000
Training Epoch: 8 [30208/47500]	Loss: 0.4641	LR: 0.020000
Training Epoch: 8 [30464/47500]	Loss: 0.5092	LR: 0.020000
Training Epoch: 8 [30720/47500]	Loss: 0.3683	LR: 0.020000
Training Epoch: 8 [30976/47500]	Loss: 0.4069	LR: 0.020000
Training Epoch: 8 [31232/47500]	Loss: 0.4722	LR: 0.020000
Training Epoch: 8 [31488/47500]	Loss: 0.4670	LR: 0.020000
Training Epoch: 8 [31744/47500]	Loss: 0.3550	LR: 0.020000
Training Epoch: 8 [32000/47500]	Loss: 0.4005	LR: 0.020000
Training Epoch: 8 [32256/47500]	Loss: 0.4858	LR: 0.020000
Training Epoch: 8 [32512/47500]	Loss: 0.3915	LR: 0.020000
Training Epoch: 8 [32768/47500]	Loss: 0.4403	LR: 0.020000
Training Epoch: 8 [33024/47500]	Loss: 0.4205	LR: 0.020000
Training Epoch: 8 [33280/47500]	Loss: 0.4389	LR: 0.020000
Training Epoch: 8 [33536/47500]	Loss: 0.4787	LR: 0.020000
Training Epoch: 8 [33792/47500]	Loss: 0.4056	LR: 0.020000
Training Epoch: 8 [34048/47500]	Loss: 0.4200	LR: 0.020000
Training Epoch: 8 [34304/47500]	Loss: 0.4572	LR: 0.020000
Training Epoch: 8 [34560/47500]	Loss: 0.4337	LR: 0.020000
Training Epoch: 8 [34816/47500]	Loss: 0.4071	LR: 0.020000
Training Epoch: 8 [35072/47500]	Loss: 0.5613	LR: 0.020000
Training Epoch: 8 [35328/47500]	Loss: 0.4011	LR: 0.020000
Training Epoch: 8 [35584/47500]	Loss: 0.3984	LR: 0.020000
Training Epoch: 8 [35840/47500]	Loss: 0.3638	LR: 0.020000
Training Epoch: 8 [36096/47500]	Loss: 0.5438	LR: 0.020000
Training Epoch: 8 [36352/47500]	Loss: 0.3894	LR: 0.020000
Training Epoch: 8 [36608/47500]	Loss: 0.3855	LR: 0.020000
Training Epoch: 8 [36864/47500]	Loss: 0.3637	LR: 0.020000
Training Epoch: 8 [37120/47500]	Loss: 0.3711	LR: 0.020000
Training Epoch: 8 [37376/47500]	Loss: 0.4210	LR: 0.020000
Training Epoch: 8 [37632/47500]	Loss: 0.4341	LR: 0.020000
Training Epoch: 8 [37888/47500]	Loss: 0.3512	LR: 0.020000
Training Epoch: 8 [38144/47500]	Loss: 0.3625	LR: 0.020000
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Training Epoch: 8 [47500/47500]	Loss: 0.4119	LR: 0.020000
Epoch 8 - Average Train Loss: 0.4419, Train Accuracy: 0.8461
Epoch 8 training time consumed: 28.80s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0016, Accuracy: 0.8641, Time consumed:1.01s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_12h_21m_59s/ResNet18-Cifar10-seed3-ret50-8-best.pth
Training Epoch: 9 [256/47500]	Loss: 0.3748	LR: 0.020000
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Training Epoch: 9 [47500/47500]	Loss: 0.3566	LR: 0.020000
Epoch 9 - Average Train Loss: 0.3930, Train Accuracy: 0.8627
Epoch 9 training time consumed: 28.68s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0016, Accuracy: 0.8645, Time consumed:0.99s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_12h_21m_59s/ResNet18-Cifar10-seed3-ret50-9-best.pth
Training Epoch: 10 [256/47500]	Loss: 0.4233	LR: 0.020000
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Training Epoch: 10 [14592/47500]	Loss: 0.3548	LR: 0.020000
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Training Epoch: 10 [15104/47500]	Loss: 0.2955	LR: 0.020000
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Training Epoch: 10 [15616/47500]	Loss: 0.3743	LR: 0.020000
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Training Epoch: 10 [16128/47500]	Loss: 0.3677	LR: 0.020000
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Training Epoch: 10 [16640/47500]	Loss: 0.3917	LR: 0.020000
Training Epoch: 10 [16896/47500]	Loss: 0.3697	LR: 0.020000
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Training Epoch: 10 [19712/47500]	Loss: 0.3463	LR: 0.020000
Training Epoch: 10 [19968/47500]	Loss: 0.2466	LR: 0.020000
Training Epoch: 10 [20224/47500]	Loss: 0.4712	LR: 0.020000
Training Epoch: 10 [20480/47500]	Loss: 0.3699	LR: 0.020000
Training Epoch: 10 [20736/47500]	Loss: 0.4201	LR: 0.020000
Training Epoch: 10 [20992/47500]	Loss: 0.3831	LR: 0.020000
Training Epoch: 10 [21248/47500]	Loss: 0.3550	LR: 0.020000
Training Epoch: 10 [21504/47500]	Loss: 0.4099	LR: 0.020000
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Training Epoch: 10 [22016/47500]	Loss: 0.3147	LR: 0.020000
Training Epoch: 10 [22272/47500]	Loss: 0.3676	LR: 0.020000
Training Epoch: 10 [22528/47500]	Loss: 0.4462	LR: 0.020000
Training Epoch: 10 [22784/47500]	Loss: 0.4081	LR: 0.020000
Training Epoch: 10 [23040/47500]	Loss: 0.3066	LR: 0.020000
Training Epoch: 10 [23296/47500]	Loss: 0.2830	LR: 0.020000
Training Epoch: 10 [23552/47500]	Loss: 0.3240	LR: 0.020000
Training Epoch: 10 [23808/47500]	Loss: 0.3576	LR: 0.020000
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Training Epoch: 10 [24320/47500]	Loss: 0.4123	LR: 0.020000
Training Epoch: 10 [24576/47500]	Loss: 0.4353	LR: 0.020000
Training Epoch: 10 [24832/47500]	Loss: 0.4039	LR: 0.020000
Training Epoch: 10 [25088/47500]	Loss: 0.3874	LR: 0.020000
Training Epoch: 10 [25344/47500]	Loss: 0.2875	LR: 0.020000
Training Epoch: 10 [25600/47500]	Loss: 0.3145	LR: 0.020000
Training Epoch: 10 [25856/47500]	Loss: 0.3583	LR: 0.020000
Training Epoch: 10 [26112/47500]	Loss: 0.2733	LR: 0.020000
Training Epoch: 10 [26368/47500]	Loss: 0.3139	LR: 0.020000
Training Epoch: 10 [26624/47500]	Loss: 0.3555	LR: 0.020000
Training Epoch: 10 [26880/47500]	Loss: 0.3361	LR: 0.020000
Training Epoch: 10 [27136/47500]	Loss: 0.3919	LR: 0.020000
Training Epoch: 10 [27392/47500]	Loss: 0.4302	LR: 0.020000
Training Epoch: 10 [27648/47500]	Loss: 0.4020	LR: 0.020000
Training Epoch: 10 [27904/47500]	Loss: 0.3986	LR: 0.020000
Training Epoch: 10 [28160/47500]	Loss: 0.3258	LR: 0.020000
Training Epoch: 10 [28416/47500]	Loss: 0.3720	LR: 0.020000
Training Epoch: 10 [28672/47500]	Loss: 0.3142	LR: 0.020000
Training Epoch: 10 [28928/47500]	Loss: 0.3394	LR: 0.020000
Training Epoch: 10 [29184/47500]	Loss: 0.3899	LR: 0.020000
Training Epoch: 10 [29440/47500]	Loss: 0.4248	LR: 0.020000
Training Epoch: 10 [29696/47500]	Loss: 0.3476	LR: 0.020000
Training Epoch: 10 [29952/47500]	Loss: 0.3568	LR: 0.020000
Training Epoch: 10 [30208/47500]	Loss: 0.4062	LR: 0.020000
Training Epoch: 10 [30464/47500]	Loss: 0.3392	LR: 0.020000
Training Epoch: 10 [30720/47500]	Loss: 0.4039	LR: 0.020000
Training Epoch: 10 [30976/47500]	Loss: 0.3684	LR: 0.020000
Training Epoch: 10 [31232/47500]	Loss: 0.3914	LR: 0.020000
Training Epoch: 10 [31488/47500]	Loss: 0.3035	LR: 0.020000
Training Epoch: 10 [31744/47500]	Loss: 0.4252	LR: 0.020000
Training Epoch: 10 [32000/47500]	Loss: 0.4903	LR: 0.020000
Training Epoch: 10 [32256/47500]	Loss: 0.3125	LR: 0.020000
Training Epoch: 10 [32512/47500]	Loss: 0.4183	LR: 0.020000
Training Epoch: 10 [32768/47500]	Loss: 0.3696	LR: 0.020000
Training Epoch: 10 [33024/47500]	Loss: 0.2830	LR: 0.020000
Training Epoch: 10 [33280/47500]	Loss: 0.4233	LR: 0.020000
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Training Epoch: 10 [34048/47500]	Loss: 0.3522	LR: 0.020000
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Training Epoch: 10 [34560/47500]	Loss: 0.4104	LR: 0.020000
Training Epoch: 10 [34816/47500]	Loss: 0.2757	LR: 0.020000
Training Epoch: 10 [35072/47500]	Loss: 0.4182	LR: 0.020000
Training Epoch: 10 [35328/47500]	Loss: 0.3875	LR: 0.020000
Training Epoch: 10 [35584/47500]	Loss: 0.3810	LR: 0.020000
Training Epoch: 10 [35840/47500]	Loss: 0.3005	LR: 0.020000
Training Epoch: 10 [36096/47500]	Loss: 0.3356	LR: 0.020000
Training Epoch: 10 [36352/47500]	Loss: 0.3676	LR: 0.020000
Training Epoch: 10 [36608/47500]	Loss: 0.3532	LR: 0.020000
Training Epoch: 10 [36864/47500]	Loss: 0.2188	LR: 0.020000
Training Epoch: 10 [37120/47500]	Loss: 0.4020	LR: 0.020000
Training Epoch: 10 [37376/47500]	Loss: 0.2969	LR: 0.020000
Training Epoch: 10 [37632/47500]	Loss: 0.2560	LR: 0.020000
Training Epoch: 10 [37888/47500]	Loss: 0.3305	LR: 0.020000
Training Epoch: 10 [38144/47500]	Loss: 0.3053	LR: 0.020000
Training Epoch: 10 [38400/47500]	Loss: 0.4100	LR: 0.020000
Training Epoch: 10 [38656/47500]	Loss: 0.4052	LR: 0.020000
Training Epoch: 10 [38912/47500]	Loss: 0.3773	LR: 0.020000
Training Epoch: 10 [39168/47500]	Loss: 0.4221	LR: 0.020000
Training Epoch: 10 [39424/47500]	Loss: 0.3010	LR: 0.020000
Training Epoch: 10 [39680/47500]	Loss: 0.4329	LR: 0.020000
Training Epoch: 10 [39936/47500]	Loss: 0.4248	LR: 0.020000
Training Epoch: 10 [40192/47500]	Loss: 0.4165	LR: 0.020000
Training Epoch: 10 [40448/47500]	Loss: 0.4241	LR: 0.020000
Training Epoch: 10 [40704/47500]	Loss: 0.4572	LR: 0.020000
Training Epoch: 10 [40960/47500]	Loss: 0.4142	LR: 0.020000
Training Epoch: 10 [41216/47500]	Loss: 0.3689	LR: 0.020000
Training Epoch: 10 [41472/47500]	Loss: 0.3913	LR: 0.020000
Training Epoch: 10 [41728/47500]	Loss: 0.4180	LR: 0.020000
Training Epoch: 10 [41984/47500]	Loss: 0.3449	LR: 0.020000
Training Epoch: 10 [42240/47500]	Loss: 0.4604	LR: 0.020000
Training Epoch: 10 [42496/47500]	Loss: 0.2862	LR: 0.020000
Training Epoch: 10 [42752/47500]	Loss: 0.3302	LR: 0.020000
Training Epoch: 10 [43008/47500]	Loss: 0.3456	LR: 0.020000
Training Epoch: 10 [43264/47500]	Loss: 0.3865	LR: 0.020000
Training Epoch: 10 [43520/47500]	Loss: 0.2790	LR: 0.020000
Training Epoch: 10 [43776/47500]	Loss: 0.4368	LR: 0.020000
Training Epoch: 10 [44032/47500]	Loss: 0.4186	LR: 0.020000
Training Epoch: 10 [44288/47500]	Loss: 0.4245	LR: 0.020000
Training Epoch: 10 [44544/47500]	Loss: 0.2999	LR: 0.020000
Training Epoch: 10 [44800/47500]	Loss: 0.3404	LR: 0.020000
Training Epoch: 10 [45056/47500]	Loss: 0.2805	LR: 0.020000
Training Epoch: 10 [45312/47500]	Loss: 0.4332	LR: 0.020000
Training Epoch: 10 [45568/47500]	Loss: 0.4128	LR: 0.020000
Training Epoch: 10 [45824/47500]	Loss: 0.3710	LR: 0.020000
Training Epoch: 10 [46080/47500]	Loss: 0.3694	LR: 0.020000
Training Epoch: 10 [46336/47500]	Loss: 0.4733	LR: 0.020000
Training Epoch: 10 [46592/47500]	Loss: 0.2529	LR: 0.020000
Training Epoch: 10 [46848/47500]	Loss: 0.3412	LR: 0.020000
Training Epoch: 10 [47104/47500]	Loss: 0.3905	LR: 0.020000
Training Epoch: 10 [47360/47500]	Loss: 0.3676	LR: 0.020000
Training Epoch: 10 [47500/47500]	Loss: 0.4590	LR: 0.020000
Epoch 10 - Average Train Loss: 0.3725, Train Accuracy: 0.8698
Epoch 10 training time consumed: 28.79s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0017, Accuracy: 0.8624, Time consumed:0.98s
Training Epoch: 11 [256/47500]	Loss: 0.3363	LR: 0.020000
Training Epoch: 11 [512/47500]	Loss: 0.4610	LR: 0.020000
Training Epoch: 11 [768/47500]	Loss: 0.4336	LR: 0.020000
Training Epoch: 11 [1024/47500]	Loss: 0.3205	LR: 0.020000
Training Epoch: 11 [1280/47500]	Loss: 0.2792	LR: 0.020000
Training Epoch: 11 [1536/47500]	Loss: 0.3023	LR: 0.020000
Training Epoch: 11 [1792/47500]	Loss: 0.3546	LR: 0.020000
Training Epoch: 11 [2048/47500]	Loss: 0.4070	LR: 0.020000
Training Epoch: 11 [2304/47500]	Loss: 0.2901	LR: 0.020000
Training Epoch: 11 [2560/47500]	Loss: 0.4303	LR: 0.020000
Training Epoch: 11 [2816/47500]	Loss: 0.3077	LR: 0.020000
Training Epoch: 11 [3072/47500]	Loss: 0.3341	LR: 0.020000
Training Epoch: 11 [3328/47500]	Loss: 0.3947	LR: 0.020000
Training Epoch: 11 [3584/47500]	Loss: 0.2911	LR: 0.020000
Training Epoch: 11 [3840/47500]	Loss: 0.3456	LR: 0.020000
Training Epoch: 11 [4096/47500]	Loss: 0.2887	LR: 0.020000
Training Epoch: 11 [4352/47500]	Loss: 0.4024	LR: 0.020000
Training Epoch: 11 [4608/47500]	Loss: 0.3394	LR: 0.020000
Training Epoch: 11 [4864/47500]	Loss: 0.3464	LR: 0.020000
Training Epoch: 11 [5120/47500]	Loss: 0.4807	LR: 0.020000
Training Epoch: 11 [5376/47500]	Loss: 0.4005	LR: 0.020000
Training Epoch: 11 [5632/47500]	Loss: 0.4128	LR: 0.020000
Training Epoch: 11 [5888/47500]	Loss: 0.3956	LR: 0.020000
Training Epoch: 11 [6144/47500]	Loss: 0.3671	LR: 0.020000
Training Epoch: 11 [6400/47500]	Loss: 0.4432	LR: 0.020000
Training Epoch: 11 [6656/47500]	Loss: 0.3040	LR: 0.020000
Training Epoch: 11 [6912/47500]	Loss: 0.2956	LR: 0.020000
Training Epoch: 11 [7168/47500]	Loss: 0.2931	LR: 0.020000
Training Epoch: 11 [7424/47500]	Loss: 0.3416	LR: 0.020000
Training Epoch: 11 [7680/47500]	Loss: 0.3500	LR: 0.020000
Training Epoch: 11 [7936/47500]	Loss: 0.3324	LR: 0.020000
Training Epoch: 11 [8192/47500]	Loss: 0.3418	LR: 0.020000
Training Epoch: 11 [8448/47500]	Loss: 0.3591	LR: 0.020000
Training Epoch: 11 [8704/47500]	Loss: 0.3807	LR: 0.020000
Training Epoch: 11 [8960/47500]	Loss: 0.3032	LR: 0.020000
Training Epoch: 11 [9216/47500]	Loss: 0.3936	LR: 0.020000
Training Epoch: 11 [9472/47500]	Loss: 0.3294	LR: 0.020000
Training Epoch: 11 [9728/47500]	Loss: 0.4803	LR: 0.020000
Training Epoch: 11 [9984/47500]	Loss: 0.2414	LR: 0.020000
Training Epoch: 11 [10240/47500]	Loss: 0.3420	LR: 0.020000
Training Epoch: 11 [10496/47500]	Loss: 0.3055	LR: 0.020000
Training Epoch: 11 [10752/47500]	Loss: 0.2967	LR: 0.020000
Training Epoch: 11 [11008/47500]	Loss: 0.4154	LR: 0.020000
Training Epoch: 11 [11264/47500]	Loss: 0.4572	LR: 0.020000
Training Epoch: 11 [11520/47500]	Loss: 0.3959	LR: 0.020000
Training Epoch: 11 [11776/47500]	Loss: 0.3375	LR: 0.020000
Training Epoch: 11 [12032/47500]	Loss: 0.2588	LR: 0.020000
Training Epoch: 11 [12288/47500]	Loss: 0.3487	LR: 0.020000
Training Epoch: 11 [12544/47500]	Loss: 0.3251	LR: 0.020000
Training Epoch: 11 [12800/47500]	Loss: 0.3601	LR: 0.020000
Training Epoch: 11 [13056/47500]	Loss: 0.3355	LR: 0.020000
Training Epoch: 11 [13312/47500]	Loss: 0.3713	LR: 0.020000
Training Epoch: 11 [13568/47500]	Loss: 0.3214	LR: 0.020000
Training Epoch: 11 [13824/47500]	Loss: 0.3624	LR: 0.020000
Training Epoch: 11 [14080/47500]	Loss: 0.3012	LR: 0.020000
Training Epoch: 11 [14336/47500]	Loss: 0.4230	LR: 0.020000
Training Epoch: 11 [14592/47500]	Loss: 0.4242	LR: 0.020000
Training Epoch: 11 [14848/47500]	Loss: 0.3476	LR: 0.020000
Training Epoch: 11 [15104/47500]	Loss: 0.4363	LR: 0.020000
Training Epoch: 11 [15360/47500]	Loss: 0.3665	LR: 0.020000
Training Epoch: 11 [15616/47500]	Loss: 0.3341	LR: 0.020000
Training Epoch: 11 [15872/47500]	Loss: 0.5017	LR: 0.020000
Training Epoch: 11 [16128/47500]	Loss: 0.3515	LR: 0.020000
Training Epoch: 11 [16384/47500]	Loss: 0.3227	LR: 0.020000
Training Epoch: 11 [16640/47500]	Loss: 0.3504	LR: 0.020000
Training Epoch: 11 [16896/47500]	Loss: 0.4133	LR: 0.020000
Training Epoch: 11 [17152/47500]	Loss: 0.2425	LR: 0.020000
Training Epoch: 11 [17408/47500]	Loss: 0.3447	LR: 0.020000
Training Epoch: 11 [17664/47500]	Loss: 0.3174	LR: 0.020000
Training Epoch: 11 [17920/47500]	Loss: 0.3148	LR: 0.020000
Training Epoch: 11 [18176/47500]	Loss: 0.3596	LR: 0.020000
Training Epoch: 11 [18432/47500]	Loss: 0.3763	LR: 0.020000
Training Epoch: 11 [18688/47500]	Loss: 0.3902	LR: 0.020000
Training Epoch: 11 [18944/47500]	Loss: 0.3372	LR: 0.020000
Training Epoch: 11 [19200/47500]	Loss: 0.4375	LR: 0.020000
Training Epoch: 11 [19456/47500]	Loss: 0.3831	LR: 0.020000
Training Epoch: 11 [19712/47500]	Loss: 0.3186	LR: 0.020000
Training Epoch: 11 [19968/47500]	Loss: 0.3207	LR: 0.020000
Training Epoch: 11 [20224/47500]	Loss: 0.3911	LR: 0.020000
Training Epoch: 11 [20480/47500]	Loss: 0.3492	LR: 0.020000
Training Epoch: 11 [20736/47500]	Loss: 0.4043	LR: 0.020000
Training Epoch: 11 [20992/47500]	Loss: 0.3687	LR: 0.020000
Training Epoch: 11 [21248/47500]	Loss: 0.3689	LR: 0.020000
Training Epoch: 11 [21504/47500]	Loss: 0.3817	LR: 0.020000
Training Epoch: 11 [21760/47500]	Loss: 0.2972	LR: 0.020000
Training Epoch: 11 [22016/47500]	Loss: 0.4320	LR: 0.020000
Training Epoch: 11 [22272/47500]	Loss: 0.3606	LR: 0.020000
Training Epoch: 11 [22528/47500]	Loss: 0.4043	LR: 0.020000
Training Epoch: 11 [22784/47500]	Loss: 0.3940	LR: 0.020000
Training Epoch: 11 [23040/47500]	Loss: 0.4176	LR: 0.020000
Training Epoch: 11 [23296/47500]	Loss: 0.4150	LR: 0.020000
Training Epoch: 11 [23552/47500]	Loss: 0.3478	LR: 0.020000
Training Epoch: 11 [23808/47500]	Loss: 0.2909	LR: 0.020000
Training Epoch: 11 [24064/47500]	Loss: 0.3363	LR: 0.020000
Training Epoch: 11 [24320/47500]	Loss: 0.3275	LR: 0.020000
Training Epoch: 11 [24576/47500]	Loss: 0.3818	LR: 0.020000
Training Epoch: 11 [24832/47500]	Loss: 0.3275	LR: 0.020000
Training Epoch: 11 [25088/47500]	Loss: 0.4034	LR: 0.020000
Training Epoch: 11 [25344/47500]	Loss: 0.3063	LR: 0.020000
Training Epoch: 11 [25600/47500]	Loss: 0.4554	LR: 0.020000
Training Epoch: 11 [25856/47500]	Loss: 0.4408	LR: 0.020000
Training Epoch: 11 [26112/47500]	Loss: 0.3638	LR: 0.020000
Training Epoch: 11 [26368/47500]	Loss: 0.4425	LR: 0.020000
Training Epoch: 11 [26624/47500]	Loss: 0.3893	LR: 0.020000
Training Epoch: 11 [26880/47500]	Loss: 0.3279	LR: 0.020000
Training Epoch: 11 [27136/47500]	Loss: 0.3170	LR: 0.020000
Training Epoch: 11 [27392/47500]	Loss: 0.3323	LR: 0.020000
Training Epoch: 11 [27648/47500]	Loss: 0.2997	LR: 0.020000
Training Epoch: 11 [27904/47500]	Loss: 0.3915	LR: 0.020000
Training Epoch: 11 [28160/47500]	Loss: 0.3421	LR: 0.020000
Training Epoch: 11 [28416/47500]	Loss: 0.3668	LR: 0.020000
Training Epoch: 11 [28672/47500]	Loss: 0.4620	LR: 0.020000
Training Epoch: 11 [28928/47500]	Loss: 0.3981	LR: 0.020000
Training Epoch: 11 [29184/47500]	Loss: 0.3937	LR: 0.020000
Training Epoch: 11 [29440/47500]	Loss: 0.4239	LR: 0.020000
Training Epoch: 11 [29696/47500]	Loss: 0.3427	LR: 0.020000
Training Epoch: 11 [29952/47500]	Loss: 0.3652	LR: 0.020000
Training Epoch: 11 [30208/47500]	Loss: 0.3399	LR: 0.020000
Training Epoch: 11 [30464/47500]	Loss: 0.2739	LR: 0.020000
Training Epoch: 11 [30720/47500]	Loss: 0.3986	LR: 0.020000
Training Epoch: 11 [30976/47500]	Loss: 0.4263	LR: 0.020000
Training Epoch: 11 [31232/47500]	Loss: 0.3510	LR: 0.020000
Training Epoch: 11 [31488/47500]	Loss: 0.4139	LR: 0.020000
Training Epoch: 11 [31744/47500]	Loss: 0.4015	LR: 0.020000
Training Epoch: 11 [32000/47500]	Loss: 0.3614	LR: 0.020000
Training Epoch: 11 [32256/47500]	Loss: 0.3122	LR: 0.020000
Training Epoch: 11 [32512/47500]	Loss: 0.3598	LR: 0.020000
Training Epoch: 11 [32768/47500]	Loss: 0.3105	LR: 0.020000
Training Epoch: 11 [33024/47500]	Loss: 0.3175	LR: 0.020000
Training Epoch: 11 [33280/47500]	Loss: 0.3484	LR: 0.020000
Training Epoch: 11 [33536/47500]	Loss: 0.3352	LR: 0.020000
Training Epoch: 11 [33792/47500]	Loss: 0.3635	LR: 0.020000
Training Epoch: 11 [34048/47500]	Loss: 0.3443	LR: 0.020000
Training Epoch: 11 [34304/47500]	Loss: 0.3538	LR: 0.020000
Training Epoch: 11 [34560/47500]	Loss: 0.3597	LR: 0.020000
Training Epoch: 11 [34816/47500]	Loss: 0.3909	LR: 0.020000
Training Epoch: 11 [35072/47500]	Loss: 0.3588	LR: 0.020000
Training Epoch: 11 [35328/47500]	Loss: 0.3840	LR: 0.020000
Training Epoch: 11 [35584/47500]	Loss: 0.3042	LR: 0.020000
Training Epoch: 11 [35840/47500]	Loss: 0.3424	LR: 0.020000
Training Epoch: 11 [36096/47500]	Loss: 0.3924	LR: 0.020000
Training Epoch: 11 [36352/47500]	Loss: 0.3987	LR: 0.020000
Training Epoch: 11 [36608/47500]	Loss: 0.3512	LR: 0.020000
Training Epoch: 11 [36864/47500]	Loss: 0.3182	LR: 0.020000
Training Epoch: 11 [37120/47500]	Loss: 0.3063	LR: 0.020000
Training Epoch: 11 [37376/47500]	Loss: 0.4197	LR: 0.020000
Training Epoch: 11 [37632/47500]	Loss: 0.4069	LR: 0.020000
Training Epoch: 11 [37888/47500]	Loss: 0.3804	LR: 0.020000
Training Epoch: 11 [38144/47500]	Loss: 0.3199	LR: 0.020000
Training Epoch: 11 [38400/47500]	Loss: 0.3884	LR: 0.020000
Training Epoch: 11 [38656/47500]	Loss: 0.3647	LR: 0.020000
Training Epoch: 11 [38912/47500]	Loss: 0.3178	LR: 0.020000
Training Epoch: 11 [39168/47500]	Loss: 0.4252	LR: 0.020000
Training Epoch: 11 [39424/47500]	Loss: 0.3624	LR: 0.020000
Training Epoch: 11 [39680/47500]	Loss: 0.3302	LR: 0.020000
Training Epoch: 11 [39936/47500]	Loss: 0.3559	LR: 0.020000
Training Epoch: 11 [40192/47500]	Loss: 0.4115	LR: 0.020000
Training Epoch: 11 [40448/47500]	Loss: 0.4123	LR: 0.020000
Training Epoch: 11 [40704/47500]	Loss: 0.2906	LR: 0.020000
Training Epoch: 11 [40960/47500]	Loss: 0.2817	LR: 0.020000
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Training Epoch: 11 [47360/47500]	Loss: 0.3664	LR: 0.020000
Training Epoch: 11 [47500/47500]	Loss: 0.5188	LR: 0.020000
Epoch 11 - Average Train Loss: 0.3611, Train Accuracy: 0.8739
Epoch 11 training time consumed: 28.63s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0016, Accuracy: 0.8687, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_12h_21m_59s/ResNet18-Cifar10-seed3-ret50-11-best.pth
Training Epoch: 12 [256/47500]	Loss: 0.2851	LR: 0.004000
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Training Epoch: 12 [47360/47500]	Loss: 0.3050	LR: 0.004000
Training Epoch: 12 [47500/47500]	Loss: 0.3827	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3118, Train Accuracy: 0.8916
Epoch 12 training time consumed: 28.82s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0014, Accuracy: 0.8841, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_12h_21m_59s/ResNet18-Cifar10-seed3-ret50-12-best.pth
Training Epoch: 13 [256/47500]	Loss: 0.3101	LR: 0.004000
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Training Epoch: 13 [47500/47500]	Loss: 0.2596	LR: 0.004000
Epoch 13 - Average Train Loss: 0.2964, Train Accuracy: 0.8974
Epoch 13 training time consumed: 28.68s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0013, Accuracy: 0.8863, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_12h_21m_59s/ResNet18-Cifar10-seed3-ret50-13-best.pth
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Training Epoch: 14 [47360/47500]	Loss: 0.3346	LR: 0.004000
Training Epoch: 14 [47500/47500]	Loss: 0.3110	LR: 0.004000
Epoch 14 - Average Train Loss: 0.2881, Train Accuracy: 0.8998
Epoch 14 training time consumed: 28.76s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0013, Accuracy: 0.8888, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_12h_21m_59s/ResNet18-Cifar10-seed3-ret50-14-best.pth
Training Epoch: 15 [256/47500]	Loss: 0.3633	LR: 0.004000
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Training Epoch: 15 [47500/47500]	Loss: 0.2005	LR: 0.004000
Epoch 15 - Average Train Loss: 0.2816, Train Accuracy: 0.9022
Epoch 15 training time consumed: 28.96s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0013, Accuracy: 0.8883, Time consumed:0.97s
Training Epoch: 16 [256/47500]	Loss: 0.2420	LR: 0.000800
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Training Epoch: 16 [47500/47500]	Loss: 0.2856	LR: 0.000800
Epoch 16 - Average Train Loss: 0.2706, Train Accuracy: 0.9053
Epoch 16 training time consumed: 28.71s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0013, Accuracy: 0.8898, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_12h_21m_59s/ResNet18-Cifar10-seed3-ret50-16-best.pth
Training Epoch: 17 [256/47500]	Loss: 0.2331	LR: 0.000800
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Training Epoch: 17 [45824/47500]	Loss: 0.2700	LR: 0.000800
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Training Epoch: 17 [46336/47500]	Loss: 0.3136	LR: 0.000800
Training Epoch: 17 [46592/47500]	Loss: 0.2812	LR: 0.000800
Training Epoch: 17 [46848/47500]	Loss: 0.2361	LR: 0.000800
Training Epoch: 17 [47104/47500]	Loss: 0.2006	LR: 0.000800
Training Epoch: 17 [47360/47500]	Loss: 0.4051	LR: 0.000800
Training Epoch: 17 [47500/47500]	Loss: 0.2582	LR: 0.000800
Epoch 17 - Average Train Loss: 0.2672, Train Accuracy: 0.9073
Epoch 17 training time consumed: 28.78s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0013, Accuracy: 0.8918, Time consumed:1.02s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_12h_21m_59s/ResNet18-Cifar10-seed3-ret50-17-best.pth
Training Epoch: 18 [256/47500]	Loss: 0.2695	LR: 0.000800
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Training Epoch: 18 [47360/47500]	Loss: 0.2706	LR: 0.000800
Training Epoch: 18 [47500/47500]	Loss: 0.2025	LR: 0.000800
Epoch 18 - Average Train Loss: 0.2650, Train Accuracy: 0.9079
Epoch 18 training time consumed: 28.63s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0013, Accuracy: 0.8933, Time consumed:0.98s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_12h_21m_59s/ResNet18-Cifar10-seed3-ret50-18-best.pth
Training Epoch: 19 [256/47500]	Loss: 0.2937	LR: 0.000800
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Training Epoch: 19 [1024/47500]	Loss: 0.2597	LR: 0.000800
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Training Epoch: 19 [1536/47500]	Loss: 0.2630	LR: 0.000800
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Training Epoch: 19 [47360/47500]	Loss: 0.2495	LR: 0.000800
Training Epoch: 19 [47500/47500]	Loss: 0.2892	LR: 0.000800
Epoch 19 - Average Train Loss: 0.2637, Train Accuracy: 0.9074
Epoch 19 training time consumed: 28.99s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0013, Accuracy: 0.8935, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_12h_21m_59s/ResNet18-Cifar10-seed3-ret50-19-best.pth
Training Epoch: 20 [256/47500]	Loss: 0.2598	LR: 0.000800
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Training Epoch: 20 [45824/47500]	Loss: 0.2831	LR: 0.000800
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Training Epoch: 20 [46336/47500]	Loss: 0.2600	LR: 0.000800
Training Epoch: 20 [46592/47500]	Loss: 0.2431	LR: 0.000800
Training Epoch: 20 [46848/47500]	Loss: 0.3893	LR: 0.000800
Training Epoch: 20 [47104/47500]	Loss: 0.2634	LR: 0.000800
Training Epoch: 20 [47360/47500]	Loss: 0.3244	LR: 0.000800
Training Epoch: 20 [47500/47500]	Loss: 0.2911	LR: 0.000800
Epoch 20 - Average Train Loss: 0.2618, Train Accuracy: 0.9088
Epoch 20 training time consumed: 28.92s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0013, Accuracy: 0.8937, Time consumed:0.99s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_12h_21m_59s/ResNet18-Cifar10-seed3-ret50-20-best.pth
Valid (Test) Dl:  10000
Train Dl:  50000
Retain Train Dl:  47500
Forget Train Dl:  2500
Retain Valid Dl:  47500
Forget Valid Dl:  2500
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 2500 samples
Set1 Distribution: 2500 samples
Set2 Distribution: 2500 samples
MIA Attack Accuracy with XGBoost: 0.7410
Set1 Distribution: 2500 samples
Set2 Distribution: 2500 samples
MIA Attack Accuracy with XGBoost: 0.4780
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
MIA Attack Accuracy with XGBoost: 0.6687
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
MIA Attack Accuracy with XGBoost: 0.5122
Test Accuracy: 91.552734375
Retain Accuracy: 94.162109375
Zero-Retain Forget (ZRF): 0.8252262473106384
Membership Inference Attack (MIA): 0.6856
Forget vs Retain Membership Inference Attack (MIA): 0.741
Forget vs Test Membership Inference Attack (MIA): 0.478
Test vs Retain Membership Inference Attack (MIA): 0.66875
Train vs Test Membership Inference Attack (MIA): 0.51225
Forget Set Accuracy (Df): 93.89747619628906
Method Execution Time: 2518.61 seconds
