hello
hello

📌 Retain class distribution for seed 2:
Class 0: 4500
Class 1: 4500
Class 2: 4500
Class 3: 4500
Class 4: 4500
Class 5: 4500
Class 6: 4500
Class 7: 4500
Class 8: 4500
Class 9: 4500

📌 Forget class distribution for seed 2:
Class 0: 500
Class 1: 500
Class 2: 500
Class 3: 500
Class 4: 500
Class 5: 500
Class 6: 500
Class 7: 500
Class 8: 500
Class 9: 500

📊 Updated class distribution:
Retain set:
  Class 0: 4750
  Class 1: 4750
  Class 2: 4750
  Class 3: 4750
  Class 4: 4750
  Class 5: 4750
  Class 6: 4750
  Class 7: 4750
  Class 8: 4750
  Class 9: 4750
Forget set:
  Class 0: 250
  Class 1: 250
  Class 2: 250
  Class 3: 250
  Class 4: 250
  Class 5: 250
  Class 6: 250
  Class 7: 250
  Class 8: 250
  Class 9: 250
hello
hello
⚠️ Warning: Retain train loader may not be shuffled.
Training Epoch: 1 [256/47500]	Loss: 2.4302	LR: 0.000000
Training Epoch: 1 [512/47500]	Loss: 2.4164	LR: 0.000538
Training Epoch: 1 [768/47500]	Loss: 2.4502	LR: 0.001075
Training Epoch: 1 [1024/47500]	Loss: 2.3894	LR: 0.001613
Training Epoch: 1 [1280/47500]	Loss: 2.2937	LR: 0.002151
Training Epoch: 1 [1536/47500]	Loss: 2.2741	LR: 0.002688
Training Epoch: 1 [1792/47500]	Loss: 2.2221	LR: 0.003226
Training Epoch: 1 [2048/47500]	Loss: 2.2727	LR: 0.003763
Training Epoch: 1 [2304/47500]	Loss: 2.2852	LR: 0.004301
Training Epoch: 1 [2560/47500]	Loss: 2.2079	LR: 0.004839
Training Epoch: 1 [2816/47500]	Loss: 2.2332	LR: 0.005376
Training Epoch: 1 [3072/47500]	Loss: 2.1945	LR: 0.005914
Training Epoch: 1 [3328/47500]	Loss: 2.2464	LR: 0.006452
Training Epoch: 1 [3584/47500]	Loss: 2.0797	LR: 0.006989
Training Epoch: 1 [3840/47500]	Loss: 1.9653	LR: 0.007527
Training Epoch: 1 [4096/47500]	Loss: 2.1059	LR: 0.008065
Training Epoch: 1 [4352/47500]	Loss: 2.0984	LR: 0.008602
Training Epoch: 1 [4608/47500]	Loss: 1.9974	LR: 0.009140
Training Epoch: 1 [4864/47500]	Loss: 2.0798	LR: 0.009677
Training Epoch: 1 [5120/47500]	Loss: 2.0237	LR: 0.010215
Training Epoch: 1 [5376/47500]	Loss: 1.9344	LR: 0.010753
Training Epoch: 1 [5632/47500]	Loss: 1.9495	LR: 0.011290
Training Epoch: 1 [5888/47500]	Loss: 2.0413	LR: 0.011828
Training Epoch: 1 [6144/47500]	Loss: 1.8633	LR: 0.012366
Training Epoch: 1 [6400/47500]	Loss: 1.8929	LR: 0.012903
Training Epoch: 1 [6656/47500]	Loss: 1.8821	LR: 0.013441
Training Epoch: 1 [6912/47500]	Loss: 1.9433	LR: 0.013978
Training Epoch: 1 [7168/47500]	Loss: 1.9925	LR: 0.014516
Training Epoch: 1 [7424/47500]	Loss: 1.7547	LR: 0.015054
Training Epoch: 1 [7680/47500]	Loss: 1.9324	LR: 0.015591
Training Epoch: 1 [7936/47500]	Loss: 1.8457	LR: 0.016129
Training Epoch: 1 [8192/47500]	Loss: 1.7940	LR: 0.016667
Training Epoch: 1 [8448/47500]	Loss: 1.8334	LR: 0.017204
Training Epoch: 1 [8704/47500]	Loss: 1.7911	LR: 0.017742
Training Epoch: 1 [8960/47500]	Loss: 1.8849	LR: 0.018280
Training Epoch: 1 [9216/47500]	Loss: 1.8557	LR: 0.018817
Training Epoch: 1 [9472/47500]	Loss: 1.8078	LR: 0.019355
Training Epoch: 1 [9728/47500]	Loss: 1.8428	LR: 0.019892
Training Epoch: 1 [9984/47500]	Loss: 1.8306	LR: 0.020430
Training Epoch: 1 [10240/47500]	Loss: 1.8465	LR: 0.020968
Training Epoch: 1 [10496/47500]	Loss: 1.7422	LR: 0.021505
Training Epoch: 1 [10752/47500]	Loss: 1.8022	LR: 0.022043
Training Epoch: 1 [11008/47500]	Loss: 1.8872	LR: 0.022581
Training Epoch: 1 [11264/47500]	Loss: 1.6793	LR: 0.023118
Training Epoch: 1 [11520/47500]	Loss: 1.9496	LR: 0.023656
Training Epoch: 1 [11776/47500]	Loss: 1.8113	LR: 0.024194
Training Epoch: 1 [12032/47500]	Loss: 1.8500	LR: 0.024731
Training Epoch: 1 [12288/47500]	Loss: 1.8578	LR: 0.025269
Training Epoch: 1 [12544/47500]	Loss: 1.8633	LR: 0.025806
Training Epoch: 1 [12800/47500]	Loss: 1.8643	LR: 0.026344
Training Epoch: 1 [13056/47500]	Loss: 1.7314	LR: 0.026882
Training Epoch: 1 [13312/47500]	Loss: 1.7058	LR: 0.027419
Training Epoch: 1 [13568/47500]	Loss: 1.7279	LR: 0.027957
Training Epoch: 1 [13824/47500]	Loss: 1.8242	LR: 0.028495
Training Epoch: 1 [14080/47500]	Loss: 1.8228	LR: 0.029032
Training Epoch: 1 [14336/47500]	Loss: 1.7416	LR: 0.029570
Training Epoch: 1 [14592/47500]	Loss: 1.6367	LR: 0.030108
Training Epoch: 1 [14848/47500]	Loss: 1.7004	LR: 0.030645
Training Epoch: 1 [15104/47500]	Loss: 1.7164	LR: 0.031183
Training Epoch: 1 [15360/47500]	Loss: 1.8115	LR: 0.031720
Training Epoch: 1 [15616/47500]	Loss: 2.0541	LR: 0.032258
Training Epoch: 1 [15872/47500]	Loss: 1.7848	LR: 0.032796
Training Epoch: 1 [16128/47500]	Loss: 1.8796	LR: 0.033333
Training Epoch: 1 [16384/47500]	Loss: 1.8245	LR: 0.033871
Training Epoch: 1 [16640/47500]	Loss: 1.6767	LR: 0.034409
Training Epoch: 1 [16896/47500]	Loss: 1.7082	LR: 0.034946
Training Epoch: 1 [17152/47500]	Loss: 1.9009	LR: 0.035484
Training Epoch: 1 [17408/47500]	Loss: 1.8860	LR: 0.036022
Training Epoch: 1 [17664/47500]	Loss: 1.6571	LR: 0.036559
Training Epoch: 1 [17920/47500]	Loss: 1.7341	LR: 0.037097
Training Epoch: 1 [18176/47500]	Loss: 1.6635	LR: 0.037634
Training Epoch: 1 [18432/47500]	Loss: 1.6237	LR: 0.038172
Training Epoch: 1 [18688/47500]	Loss: 1.8130	LR: 0.038710
Training Epoch: 1 [18944/47500]	Loss: 1.6728	LR: 0.039247
Training Epoch: 1 [19200/47500]	Loss: 1.9538	LR: 0.039785
Training Epoch: 1 [19456/47500]	Loss: 1.7524	LR: 0.040323
Training Epoch: 1 [19712/47500]	Loss: 1.6235	LR: 0.040860
Training Epoch: 1 [19968/47500]	Loss: 1.7173	LR: 0.041398
Training Epoch: 1 [20224/47500]	Loss: 1.6128	LR: 0.041935
Training Epoch: 1 [20480/47500]	Loss: 1.7855	LR: 0.042473
Training Epoch: 1 [20736/47500]	Loss: 1.7480	LR: 0.043011
Training Epoch: 1 [20992/47500]	Loss: 1.6714	LR: 0.043548
Training Epoch: 1 [21248/47500]	Loss: 1.7864	LR: 0.044086
Training Epoch: 1 [21504/47500]	Loss: 1.6486	LR: 0.044624
Training Epoch: 1 [21760/47500]	Loss: 1.7447	LR: 0.045161
Training Epoch: 1 [22016/47500]	Loss: 1.5910	LR: 0.045699
Training Epoch: 1 [22272/47500]	Loss: 1.7385	LR: 0.046237
Training Epoch: 1 [22528/47500]	Loss: 1.6004	LR: 0.046774
Training Epoch: 1 [22784/47500]	Loss: 1.5711	LR: 0.047312
Training Epoch: 1 [23040/47500]	Loss: 1.7486	LR: 0.047849
Training Epoch: 1 [23296/47500]	Loss: 1.6684	LR: 0.048387
Training Epoch: 1 [23552/47500]	Loss: 1.6617	LR: 0.048925
Training Epoch: 1 [23808/47500]	Loss: 1.5879	LR: 0.049462
Training Epoch: 1 [24064/47500]	Loss: 1.6804	LR: 0.050000
Training Epoch: 1 [24320/47500]	Loss: 1.6268	LR: 0.050538
Training Epoch: 1 [24576/47500]	Loss: 1.6301	LR: 0.051075
Training Epoch: 1 [24832/47500]	Loss: 1.5933	LR: 0.051613
Training Epoch: 1 [25088/47500]	Loss: 1.6881	LR: 0.052151
Training Epoch: 1 [25344/47500]	Loss: 1.7274	LR: 0.052688
Training Epoch: 1 [25600/47500]	Loss: 1.5617	LR: 0.053226
Training Epoch: 1 [25856/47500]	Loss: 1.7175	LR: 0.053763
Training Epoch: 1 [26112/47500]	Loss: 1.5135	LR: 0.054301
Training Epoch: 1 [26368/47500]	Loss: 1.6782	LR: 0.054839
Training Epoch: 1 [26624/47500]	Loss: 1.7356	LR: 0.055376
Training Epoch: 1 [26880/47500]	Loss: 1.7624	LR: 0.055914
Training Epoch: 1 [27136/47500]	Loss: 1.6615	LR: 0.056452
Training Epoch: 1 [27392/47500]	Loss: 1.6822	LR: 0.056989
Training Epoch: 1 [27648/47500]	Loss: 1.9154	LR: 0.057527
Training Epoch: 1 [27904/47500]	Loss: 1.8498	LR: 0.058065
Training Epoch: 1 [28160/47500]	Loss: 1.7929	LR: 0.058602
Training Epoch: 1 [28416/47500]	Loss: 1.6601	LR: 0.059140
Training Epoch: 1 [28672/47500]	Loss: 1.5614	LR: 0.059677
Training Epoch: 1 [28928/47500]	Loss: 1.5585	LR: 0.060215
Training Epoch: 1 [29184/47500]	Loss: 1.6320	LR: 0.060753
Training Epoch: 1 [29440/47500]	Loss: 1.4362	LR: 0.061290
Training Epoch: 1 [29696/47500]	Loss: 1.7157	LR: 0.061828
Training Epoch: 1 [29952/47500]	Loss: 1.5799	LR: 0.062366
Training Epoch: 1 [30208/47500]	Loss: 1.6828	LR: 0.062903
Training Epoch: 1 [30464/47500]	Loss: 1.4955	LR: 0.063441
Training Epoch: 1 [30720/47500]	Loss: 1.4605	LR: 0.063978
Training Epoch: 1 [30976/47500]	Loss: 1.4783	LR: 0.064516
Training Epoch: 1 [31232/47500]	Loss: 1.5972	LR: 0.065054
Training Epoch: 1 [31488/47500]	Loss: 1.4179	LR: 0.065591
Training Epoch: 1 [31744/47500]	Loss: 1.4064	LR: 0.066129
Training Epoch: 1 [32000/47500]	Loss: 1.6433	LR: 0.066667
Training Epoch: 1 [32256/47500]	Loss: 1.4769	LR: 0.067204
Training Epoch: 1 [32512/47500]	Loss: 1.6301	LR: 0.067742
Training Epoch: 1 [32768/47500]	Loss: 1.5754	LR: 0.068280
Training Epoch: 1 [33024/47500]	Loss: 1.5782	LR: 0.068817
Training Epoch: 1 [33280/47500]	Loss: 1.5599	LR: 0.069355
Training Epoch: 1 [33536/47500]	Loss: 1.4100	LR: 0.069892
Training Epoch: 1 [33792/47500]	Loss: 1.5839	LR: 0.070430
Training Epoch: 1 [34048/47500]	Loss: 1.6855	LR: 0.070968
Training Epoch: 1 [34304/47500]	Loss: 1.6937	LR: 0.071505
Training Epoch: 1 [34560/47500]	Loss: 1.5420	LR: 0.072043
Training Epoch: 1 [34816/47500]	Loss: 1.8501	LR: 0.072581
Training Epoch: 1 [35072/47500]	Loss: 1.5869	LR: 0.073118
Training Epoch: 1 [35328/47500]	Loss: 1.5621	LR: 0.073656
Training Epoch: 1 [35584/47500]	Loss: 1.5414	LR: 0.074194
Training Epoch: 1 [35840/47500]	Loss: 1.3954	LR: 0.074731
Training Epoch: 1 [36096/47500]	Loss: 1.5215	LR: 0.075269
Training Epoch: 1 [36352/47500]	Loss: 1.5084	LR: 0.075806
Training Epoch: 1 [36608/47500]	Loss: 1.6128	LR: 0.076344
Training Epoch: 1 [36864/47500]	Loss: 1.4264	LR: 0.076882
Training Epoch: 1 [37120/47500]	Loss: 1.4148	LR: 0.077419
Training Epoch: 1 [37376/47500]	Loss: 1.5305	LR: 0.077957
Training Epoch: 1 [37632/47500]	Loss: 1.6317	LR: 0.078495
Training Epoch: 1 [37888/47500]	Loss: 1.3927	LR: 0.079032
Training Epoch: 1 [38144/47500]	Loss: 1.4274	LR: 0.079570
Training Epoch: 1 [38400/47500]	Loss: 1.3010	LR: 0.080108
Training Epoch: 1 [38656/47500]	Loss: 1.4847	LR: 0.080645
Training Epoch: 1 [38912/47500]	Loss: 1.3777	LR: 0.081183
Training Epoch: 1 [39168/47500]	Loss: 1.4925	LR: 0.081720
Training Epoch: 1 [39424/47500]	Loss: 1.5211	LR: 0.082258
Training Epoch: 1 [39680/47500]	Loss: 1.5042	LR: 0.082796
Training Epoch: 1 [39936/47500]	Loss: 1.4380	LR: 0.083333
Training Epoch: 1 [40192/47500]	Loss: 1.3853	LR: 0.083871
Training Epoch: 1 [40448/47500]	Loss: 1.6613	LR: 0.084409
Training Epoch: 1 [40704/47500]	Loss: 1.5492	LR: 0.084946
Training Epoch: 1 [40960/47500]	Loss: 1.4297	LR: 0.085484
Training Epoch: 1 [41216/47500]	Loss: 1.6486	LR: 0.086022
Training Epoch: 1 [41472/47500]	Loss: 1.4410	LR: 0.086559
Training Epoch: 1 [41728/47500]	Loss: 1.5301	LR: 0.087097
Training Epoch: 1 [41984/47500]	Loss: 1.3775	LR: 0.087634
Training Epoch: 1 [42240/47500]	Loss: 1.7616	LR: 0.088172
Training Epoch: 1 [42496/47500]	Loss: 1.6262	LR: 0.088710
Training Epoch: 1 [42752/47500]	Loss: 1.4455	LR: 0.089247
Training Epoch: 1 [43008/47500]	Loss: 1.4212	LR: 0.089785
Training Epoch: 1 [43264/47500]	Loss: 1.3128	LR: 0.090323
Training Epoch: 1 [43520/47500]	Loss: 1.4413	LR: 0.090860
Training Epoch: 1 [43776/47500]	Loss: 1.4102	LR: 0.091398
Training Epoch: 1 [44032/47500]	Loss: 1.5890	LR: 0.091935
Training Epoch: 1 [44288/47500]	Loss: 1.5976	LR: 0.092473
Training Epoch: 1 [44544/47500]	Loss: 1.2543	LR: 0.093011
Training Epoch: 1 [44800/47500]	Loss: 1.3493	LR: 0.093548
Training Epoch: 1 [45056/47500]	Loss: 1.5596	LR: 0.094086
Training Epoch: 1 [45312/47500]	Loss: 1.4540	LR: 0.094624
Training Epoch: 1 [45568/47500]	Loss: 1.3383	LR: 0.095161
Training Epoch: 1 [45824/47500]	Loss: 1.5805	LR: 0.095699
Training Epoch: 1 [46080/47500]	Loss: 1.3517	LR: 0.096237
Training Epoch: 1 [46336/47500]	Loss: 1.3775	LR: 0.096774
Training Epoch: 1 [46592/47500]	Loss: 1.3862	LR: 0.097312
Training Epoch: 1 [46848/47500]	Loss: 1.3624	LR: 0.097849
Training Epoch: 1 [47104/47500]	Loss: 1.2931	LR: 0.098387
Training Epoch: 1 [47360/47500]	Loss: 1.4187	LR: 0.098925
Training Epoch: 1 [47500/47500]	Loss: 1.3674	LR: 0.099462
Epoch 1 - Average Train Loss: 1.7090, Train Accuracy: 0.3791
Epoch 1 training time consumed: 30.46s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0077, Accuracy: 0.4362, Time consumed:1.02s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_09h_43m_21s/ResNet18-Cifar10-seed2-ret50-1-best.pth
Training Epoch: 2 [256/47500]	Loss: 1.4565	LR: 0.100000
Training Epoch: 2 [512/47500]	Loss: 1.3609	LR: 0.100000
Training Epoch: 2 [768/47500]	Loss: 1.2422	LR: 0.100000
Training Epoch: 2 [1024/47500]	Loss: 1.4196	LR: 0.100000
Training Epoch: 2 [1280/47500]	Loss: 1.3773	LR: 0.100000
Training Epoch: 2 [1536/47500]	Loss: 1.4813	LR: 0.100000
Training Epoch: 2 [1792/47500]	Loss: 1.5700	LR: 0.100000
Training Epoch: 2 [2048/47500]	Loss: 1.4544	LR: 0.100000
Training Epoch: 2 [2304/47500]	Loss: 1.7541	LR: 0.100000
Training Epoch: 2 [2560/47500]	Loss: 1.4416	LR: 0.100000
Training Epoch: 2 [2816/47500]	Loss: 1.4048	LR: 0.100000
Training Epoch: 2 [3072/47500]	Loss: 1.5312	LR: 0.100000
Training Epoch: 2 [3328/47500]	Loss: 1.4631	LR: 0.100000
Training Epoch: 2 [3584/47500]	Loss: 1.3633	LR: 0.100000
Training Epoch: 2 [3840/47500]	Loss: 1.5226	LR: 0.100000
Training Epoch: 2 [4096/47500]	Loss: 1.4096	LR: 0.100000
Training Epoch: 2 [4352/47500]	Loss: 1.3447	LR: 0.100000
Training Epoch: 2 [4608/47500]	Loss: 1.5195	LR: 0.100000
Training Epoch: 2 [4864/47500]	Loss: 1.2568	LR: 0.100000
Training Epoch: 2 [5120/47500]	Loss: 1.3609	LR: 0.100000
Training Epoch: 2 [5376/47500]	Loss: 1.3612	LR: 0.100000
Training Epoch: 2 [5632/47500]	Loss: 1.4209	LR: 0.100000
Training Epoch: 2 [5888/47500]	Loss: 1.2026	LR: 0.100000
Training Epoch: 2 [6144/47500]	Loss: 1.2659	LR: 0.100000
Training Epoch: 2 [6400/47500]	Loss: 1.3568	LR: 0.100000
Training Epoch: 2 [6656/47500]	Loss: 1.3332	LR: 0.100000
Training Epoch: 2 [6912/47500]	Loss: 1.3312	LR: 0.100000
Training Epoch: 2 [7168/47500]	Loss: 1.3084	LR: 0.100000
Training Epoch: 2 [7424/47500]	Loss: 1.3385	LR: 0.100000
Training Epoch: 2 [7680/47500]	Loss: 1.4159	LR: 0.100000
Training Epoch: 2 [7936/47500]	Loss: 1.2797	LR: 0.100000
Training Epoch: 2 [8192/47500]	Loss: 1.2677	LR: 0.100000
Training Epoch: 2 [8448/47500]	Loss: 1.4479	LR: 0.100000
Training Epoch: 2 [8704/47500]	Loss: 1.1614	LR: 0.100000
Training Epoch: 2 [8960/47500]	Loss: 1.3339	LR: 0.100000
Training Epoch: 2 [9216/47500]	Loss: 1.3080	LR: 0.100000
Training Epoch: 2 [9472/47500]	Loss: 1.2415	LR: 0.100000
Training Epoch: 2 [9728/47500]	Loss: 1.4042	LR: 0.100000
Training Epoch: 2 [9984/47500]	Loss: 1.1903	LR: 0.100000
Training Epoch: 2 [10240/47500]	Loss: 1.2372	LR: 0.100000
Training Epoch: 2 [10496/47500]	Loss: 1.2422	LR: 0.100000
Training Epoch: 2 [10752/47500]	Loss: 1.3676	LR: 0.100000
Training Epoch: 2 [11008/47500]	Loss: 1.2307	LR: 0.100000
Training Epoch: 2 [11264/47500]	Loss: 1.4627	LR: 0.100000
Training Epoch: 2 [11520/47500]	Loss: 1.4575	LR: 0.100000
Training Epoch: 2 [11776/47500]	Loss: 1.3509	LR: 0.100000
Training Epoch: 2 [12032/47500]	Loss: 1.2897	LR: 0.100000
Training Epoch: 2 [12288/47500]	Loss: 1.2350	LR: 0.100000
Training Epoch: 2 [12544/47500]	Loss: 1.3002	LR: 0.100000
Training Epoch: 2 [12800/47500]	Loss: 1.2249	LR: 0.100000
Training Epoch: 2 [13056/47500]	Loss: 1.2271	LR: 0.100000
Training Epoch: 2 [13312/47500]	Loss: 1.1966	LR: 0.100000
Training Epoch: 2 [13568/47500]	Loss: 1.1934	LR: 0.100000
Training Epoch: 2 [13824/47500]	Loss: 1.2969	LR: 0.100000
Training Epoch: 2 [14080/47500]	Loss: 1.2052	LR: 0.100000
Training Epoch: 2 [14336/47500]	Loss: 1.2929	LR: 0.100000
Training Epoch: 2 [14592/47500]	Loss: 1.3763	LR: 0.100000
Training Epoch: 2 [14848/47500]	Loss: 1.3835	LR: 0.100000
Training Epoch: 2 [15104/47500]	Loss: 1.1938	LR: 0.100000
Training Epoch: 2 [15360/47500]	Loss: 1.2791	LR: 0.100000
Training Epoch: 2 [15616/47500]	Loss: 1.3673	LR: 0.100000
Training Epoch: 2 [15872/47500]	Loss: 1.2455	LR: 0.100000
Training Epoch: 2 [16128/47500]	Loss: 1.2274	LR: 0.100000
Training Epoch: 2 [16384/47500]	Loss: 1.2130	LR: 0.100000
Training Epoch: 2 [16640/47500]	Loss: 1.2137	LR: 0.100000
Training Epoch: 2 [16896/47500]	Loss: 1.2054	LR: 0.100000
Training Epoch: 2 [17152/47500]	Loss: 1.3057	LR: 0.100000
Training Epoch: 2 [17408/47500]	Loss: 1.1722	LR: 0.100000
Training Epoch: 2 [17664/47500]	Loss: 1.1261	LR: 0.100000
Training Epoch: 2 [17920/47500]	Loss: 1.1384	LR: 0.100000
Training Epoch: 2 [18176/47500]	Loss: 1.1827	LR: 0.100000
Training Epoch: 2 [18432/47500]	Loss: 1.4553	LR: 0.100000
Training Epoch: 2 [18688/47500]	Loss: 1.2129	LR: 0.100000
Training Epoch: 2 [18944/47500]	Loss: 1.2886	LR: 0.100000
Training Epoch: 2 [19200/47500]	Loss: 1.3516	LR: 0.100000
Training Epoch: 2 [19456/47500]	Loss: 1.2140	LR: 0.100000
Training Epoch: 2 [19712/47500]	Loss: 1.2465	LR: 0.100000
Training Epoch: 2 [19968/47500]	Loss: 1.1764	LR: 0.100000
Training Epoch: 2 [20224/47500]	Loss: 1.1749	LR: 0.100000
Training Epoch: 2 [20480/47500]	Loss: 1.2354	LR: 0.100000
Training Epoch: 2 [20736/47500]	Loss: 1.0416	LR: 0.100000
Training Epoch: 2 [20992/47500]	Loss: 1.0418	LR: 0.100000
Training Epoch: 2 [21248/47500]	Loss: 1.2322	LR: 0.100000
Training Epoch: 2 [21504/47500]	Loss: 1.2200	LR: 0.100000
Training Epoch: 2 [21760/47500]	Loss: 1.1368	LR: 0.100000
Training Epoch: 2 [22016/47500]	Loss: 1.3065	LR: 0.100000
Training Epoch: 2 [22272/47500]	Loss: 1.2136	LR: 0.100000
Training Epoch: 2 [22528/47500]	Loss: 1.1571	LR: 0.100000
Training Epoch: 2 [22784/47500]	Loss: 1.2464	LR: 0.100000
Training Epoch: 2 [23040/47500]	Loss: 1.2573	LR: 0.100000
Training Epoch: 2 [23296/47500]	Loss: 1.1472	LR: 0.100000
Training Epoch: 2 [23552/47500]	Loss: 1.1336	LR: 0.100000
Training Epoch: 2 [23808/47500]	Loss: 1.1366	LR: 0.100000
Training Epoch: 2 [24064/47500]	Loss: 1.1880	LR: 0.100000
Training Epoch: 2 [24320/47500]	Loss: 1.0412	LR: 0.100000
Training Epoch: 2 [24576/47500]	Loss: 1.1316	LR: 0.100000
Training Epoch: 2 [24832/47500]	Loss: 1.2536	LR: 0.100000
Training Epoch: 2 [25088/47500]	Loss: 1.3053	LR: 0.100000
Training Epoch: 2 [25344/47500]	Loss: 1.3472	LR: 0.100000
Training Epoch: 2 [25600/47500]	Loss: 1.0837	LR: 0.100000
Training Epoch: 2 [25856/47500]	Loss: 1.1221	LR: 0.100000
Training Epoch: 2 [26112/47500]	Loss: 1.2071	LR: 0.100000
Training Epoch: 2 [26368/47500]	Loss: 1.1267	LR: 0.100000
Training Epoch: 2 [26624/47500]	Loss: 1.1103	LR: 0.100000
Training Epoch: 2 [26880/47500]	Loss: 1.1767	LR: 0.100000
Training Epoch: 2 [27136/47500]	Loss: 1.1137	LR: 0.100000
Training Epoch: 2 [27392/47500]	Loss: 1.1508	LR: 0.100000
Training Epoch: 2 [27648/47500]	Loss: 1.1712	LR: 0.100000
Training Epoch: 2 [27904/47500]	Loss: 1.1366	LR: 0.100000
Training Epoch: 2 [28160/47500]	Loss: 1.0834	LR: 0.100000
Training Epoch: 2 [28416/47500]	Loss: 1.0717	LR: 0.100000
Training Epoch: 2 [28672/47500]	Loss: 1.2119	LR: 0.100000
Training Epoch: 2 [28928/47500]	Loss: 1.0346	LR: 0.100000
Training Epoch: 2 [29184/47500]	Loss: 1.0804	LR: 0.100000
Training Epoch: 2 [29440/47500]	Loss: 1.1889	LR: 0.100000
Training Epoch: 2 [29696/47500]	Loss: 1.0214	LR: 0.100000
Training Epoch: 2 [29952/47500]	Loss: 1.0353	LR: 0.100000
Training Epoch: 2 [30208/47500]	Loss: 1.1549	LR: 0.100000
Training Epoch: 2 [30464/47500]	Loss: 1.0817	LR: 0.100000
Training Epoch: 2 [30720/47500]	Loss: 1.2000	LR: 0.100000
Training Epoch: 2 [30976/47500]	Loss: 1.0604	LR: 0.100000
Training Epoch: 2 [31232/47500]	Loss: 1.0417	LR: 0.100000
Training Epoch: 2 [31488/47500]	Loss: 1.0193	LR: 0.100000
Training Epoch: 2 [31744/47500]	Loss: 1.1709	LR: 0.100000
Training Epoch: 2 [32000/47500]	Loss: 1.1487	LR: 0.100000
Training Epoch: 2 [32256/47500]	Loss: 1.1922	LR: 0.100000
Training Epoch: 2 [32512/47500]	Loss: 1.1643	LR: 0.100000
Training Epoch: 2 [32768/47500]	Loss: 1.1103	LR: 0.100000
Training Epoch: 2 [33024/47500]	Loss: 1.1898	LR: 0.100000
Training Epoch: 2 [33280/47500]	Loss: 1.1033	LR: 0.100000
Training Epoch: 2 [33536/47500]	Loss: 1.0688	LR: 0.100000
Training Epoch: 2 [33792/47500]	Loss: 1.1811	LR: 0.100000
Training Epoch: 2 [34048/47500]	Loss: 1.0807	LR: 0.100000
Training Epoch: 2 [34304/47500]	Loss: 1.1851	LR: 0.100000
Training Epoch: 2 [34560/47500]	Loss: 1.0786	LR: 0.100000
Training Epoch: 2 [34816/47500]	Loss: 1.1641	LR: 0.100000
Training Epoch: 2 [35072/47500]	Loss: 1.1625	LR: 0.100000
Training Epoch: 2 [35328/47500]	Loss: 0.9009	LR: 0.100000
Training Epoch: 2 [35584/47500]	Loss: 0.9995	LR: 0.100000
Training Epoch: 2 [35840/47500]	Loss: 1.1125	LR: 0.100000
Training Epoch: 2 [36096/47500]	Loss: 1.0734	LR: 0.100000
Training Epoch: 2 [36352/47500]	Loss: 1.1983	LR: 0.100000
Training Epoch: 2 [36608/47500]	Loss: 1.0414	LR: 0.100000
Training Epoch: 2 [36864/47500]	Loss: 1.0459	LR: 0.100000
Training Epoch: 2 [37120/47500]	Loss: 1.0873	LR: 0.100000
Training Epoch: 2 [37376/47500]	Loss: 1.1746	LR: 0.100000
Training Epoch: 2 [37632/47500]	Loss: 1.0859	LR: 0.100000
Training Epoch: 2 [37888/47500]	Loss: 1.1978	LR: 0.100000
Training Epoch: 2 [38144/47500]	Loss: 1.0739	LR: 0.100000
Training Epoch: 2 [38400/47500]	Loss: 1.1128	LR: 0.100000
Training Epoch: 2 [38656/47500]	Loss: 1.1256	LR: 0.100000
Training Epoch: 2 [38912/47500]	Loss: 1.0296	LR: 0.100000
Training Epoch: 2 [39168/47500]	Loss: 1.1724	LR: 0.100000
Training Epoch: 2 [39424/47500]	Loss: 1.1266	LR: 0.100000
Training Epoch: 2 [39680/47500]	Loss: 0.9849	LR: 0.100000
Training Epoch: 2 [39936/47500]	Loss: 1.1099	LR: 0.100000
Training Epoch: 2 [40192/47500]	Loss: 1.2182	LR: 0.100000
Training Epoch: 2 [40448/47500]	Loss: 1.0383	LR: 0.100000
Training Epoch: 2 [40704/47500]	Loss: 1.0426	LR: 0.100000
Training Epoch: 2 [40960/47500]	Loss: 1.1041	LR: 0.100000
Training Epoch: 2 [41216/47500]	Loss: 1.0293	LR: 0.100000
Training Epoch: 2 [41472/47500]	Loss: 1.1949	LR: 0.100000
Training Epoch: 2 [41728/47500]	Loss: 1.0976	LR: 0.100000
Training Epoch: 2 [41984/47500]	Loss: 1.0625	LR: 0.100000
Training Epoch: 2 [42240/47500]	Loss: 0.9892	LR: 0.100000
Training Epoch: 2 [42496/47500]	Loss: 1.0354	LR: 0.100000
Training Epoch: 2 [42752/47500]	Loss: 1.1627	LR: 0.100000
Training Epoch: 2 [43008/47500]	Loss: 1.0267	LR: 0.100000
Training Epoch: 2 [43264/47500]	Loss: 1.0022	LR: 0.100000
Training Epoch: 2 [43520/47500]	Loss: 1.0541	LR: 0.100000
Training Epoch: 2 [43776/47500]	Loss: 1.0143	LR: 0.100000
Training Epoch: 2 [44032/47500]	Loss: 1.1046	LR: 0.100000
Training Epoch: 2 [44288/47500]	Loss: 1.1356	LR: 0.100000
Training Epoch: 2 [44544/47500]	Loss: 1.1177	LR: 0.100000
Training Epoch: 2 [44800/47500]	Loss: 1.2880	LR: 0.100000
Training Epoch: 2 [45056/47500]	Loss: 1.0189	LR: 0.100000
Training Epoch: 2 [45312/47500]	Loss: 1.1073	LR: 0.100000
Training Epoch: 2 [45568/47500]	Loss: 1.1199	LR: 0.100000
Training Epoch: 2 [45824/47500]	Loss: 1.0134	LR: 0.100000
Training Epoch: 2 [46080/47500]	Loss: 0.9685	LR: 0.100000
Training Epoch: 2 [46336/47500]	Loss: 1.1160	LR: 0.100000
Training Epoch: 2 [46592/47500]	Loss: 0.9017	LR: 0.100000
Training Epoch: 2 [46848/47500]	Loss: 1.2052	LR: 0.100000
Training Epoch: 2 [47104/47500]	Loss: 1.1142	LR: 0.100000
Training Epoch: 2 [47360/47500]	Loss: 1.0377	LR: 0.100000
Training Epoch: 2 [47500/47500]	Loss: 1.2569	LR: 0.100000
Epoch 2 - Average Train Loss: 1.2039, Train Accuracy: 0.5685
Epoch 2 training time consumed: 29.34s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0046, Accuracy: 0.6076, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_09h_43m_21s/ResNet18-Cifar10-seed2-ret50-2-best.pth
Training Epoch: 3 [256/47500]	Loss: 1.0928	LR: 0.100000
Training Epoch: 3 [512/47500]	Loss: 1.1187	LR: 0.100000
Training Epoch: 3 [768/47500]	Loss: 1.1112	LR: 0.100000
Training Epoch: 3 [1024/47500]	Loss: 1.0500	LR: 0.100000
Training Epoch: 3 [1280/47500]	Loss: 0.9700	LR: 0.100000
Training Epoch: 3 [1536/47500]	Loss: 1.1231	LR: 0.100000
Training Epoch: 3 [1792/47500]	Loss: 1.3112	LR: 0.100000
Training Epoch: 3 [2048/47500]	Loss: 0.9251	LR: 0.100000
Training Epoch: 3 [2304/47500]	Loss: 1.0404	LR: 0.100000
Training Epoch: 3 [2560/47500]	Loss: 1.1111	LR: 0.100000
Training Epoch: 3 [2816/47500]	Loss: 0.9890	LR: 0.100000
Training Epoch: 3 [3072/47500]	Loss: 1.0833	LR: 0.100000
Training Epoch: 3 [3328/47500]	Loss: 1.0714	LR: 0.100000
Training Epoch: 3 [3584/47500]	Loss: 1.0815	LR: 0.100000
Training Epoch: 3 [3840/47500]	Loss: 0.9291	LR: 0.100000
Training Epoch: 3 [4096/47500]	Loss: 0.9416	LR: 0.100000
Training Epoch: 3 [4352/47500]	Loss: 1.1280	LR: 0.100000
Training Epoch: 3 [4608/47500]	Loss: 1.1035	LR: 0.100000
Training Epoch: 3 [4864/47500]	Loss: 1.0748	LR: 0.100000
Training Epoch: 3 [5120/47500]	Loss: 1.0313	LR: 0.100000
Training Epoch: 3 [5376/47500]	Loss: 0.9804	LR: 0.100000
Training Epoch: 3 [5632/47500]	Loss: 1.0884	LR: 0.100000
Training Epoch: 3 [5888/47500]	Loss: 1.1251	LR: 0.100000
Training Epoch: 3 [6144/47500]	Loss: 1.0337	LR: 0.100000
Training Epoch: 3 [6400/47500]	Loss: 1.0471	LR: 0.100000
Training Epoch: 3 [6656/47500]	Loss: 1.0441	LR: 0.100000
Training Epoch: 3 [6912/47500]	Loss: 0.9348	LR: 0.100000
Training Epoch: 3 [7168/47500]	Loss: 0.9643	LR: 0.100000
Training Epoch: 3 [7424/47500]	Loss: 0.9847	LR: 0.100000
Training Epoch: 3 [7680/47500]	Loss: 0.9710	LR: 0.100000
Training Epoch: 3 [7936/47500]	Loss: 0.9617	LR: 0.100000
Training Epoch: 3 [8192/47500]	Loss: 1.0169	LR: 0.100000
Training Epoch: 3 [8448/47500]	Loss: 0.8458	LR: 0.100000
Training Epoch: 3 [8704/47500]	Loss: 0.9455	LR: 0.100000
Training Epoch: 3 [8960/47500]	Loss: 0.8654	LR: 0.100000
Training Epoch: 3 [9216/47500]	Loss: 1.0513	LR: 0.100000
Training Epoch: 3 [9472/47500]	Loss: 0.9373	LR: 0.100000
Training Epoch: 3 [9728/47500]	Loss: 1.0205	LR: 0.100000
Training Epoch: 3 [9984/47500]	Loss: 0.9514	LR: 0.100000
Training Epoch: 3 [10240/47500]	Loss: 0.9710	LR: 0.100000
Training Epoch: 3 [10496/47500]	Loss: 0.9374	LR: 0.100000
Training Epoch: 3 [10752/47500]	Loss: 1.0888	LR: 0.100000
Training Epoch: 3 [11008/47500]	Loss: 0.9770	LR: 0.100000
Training Epoch: 3 [11264/47500]	Loss: 0.9344	LR: 0.100000
Training Epoch: 3 [11520/47500]	Loss: 1.0615	LR: 0.100000
Training Epoch: 3 [11776/47500]	Loss: 0.9957	LR: 0.100000
Training Epoch: 3 [12032/47500]	Loss: 1.0210	LR: 0.100000
Training Epoch: 3 [12288/47500]	Loss: 0.8456	LR: 0.100000
Training Epoch: 3 [12544/47500]	Loss: 1.1238	LR: 0.100000
Training Epoch: 3 [12800/47500]	Loss: 0.9076	LR: 0.100000
Training Epoch: 3 [13056/47500]	Loss: 1.0308	LR: 0.100000
Training Epoch: 3 [13312/47500]	Loss: 0.9200	LR: 0.100000
Training Epoch: 3 [13568/47500]	Loss: 0.9322	LR: 0.100000
Training Epoch: 3 [13824/47500]	Loss: 1.0771	LR: 0.100000
Training Epoch: 3 [14080/47500]	Loss: 0.8504	LR: 0.100000
Training Epoch: 3 [14336/47500]	Loss: 1.1419	LR: 0.100000
Training Epoch: 3 [14592/47500]	Loss: 0.8720	LR: 0.100000
Training Epoch: 3 [14848/47500]	Loss: 0.9191	LR: 0.100000
Training Epoch: 3 [15104/47500]	Loss: 0.9837	LR: 0.100000
Training Epoch: 3 [15360/47500]	Loss: 0.9731	LR: 0.100000
Training Epoch: 3 [15616/47500]	Loss: 0.9599	LR: 0.100000
Training Epoch: 3 [15872/47500]	Loss: 0.8723	LR: 0.100000
Training Epoch: 3 [16128/47500]	Loss: 0.8758	LR: 0.100000
Training Epoch: 3 [16384/47500]	Loss: 1.1694	LR: 0.100000
Training Epoch: 3 [16640/47500]	Loss: 0.8883	LR: 0.100000
Training Epoch: 3 [16896/47500]	Loss: 0.8510	LR: 0.100000
Training Epoch: 3 [17152/47500]	Loss: 0.8992	LR: 0.100000
Training Epoch: 3 [17408/47500]	Loss: 0.8610	LR: 0.100000
Training Epoch: 3 [17664/47500]	Loss: 0.9427	LR: 0.100000
Training Epoch: 3 [17920/47500]	Loss: 0.9857	LR: 0.100000
Training Epoch: 3 [18176/47500]	Loss: 0.9871	LR: 0.100000
Training Epoch: 3 [18432/47500]	Loss: 0.9242	LR: 0.100000
Training Epoch: 3 [18688/47500]	Loss: 1.0272	LR: 0.100000
Training Epoch: 3 [18944/47500]	Loss: 1.0264	LR: 0.100000
Training Epoch: 3 [19200/47500]	Loss: 1.0485	LR: 0.100000
Training Epoch: 3 [19456/47500]	Loss: 1.1259	LR: 0.100000
Training Epoch: 3 [19712/47500]	Loss: 0.9862	LR: 0.100000
Training Epoch: 3 [19968/47500]	Loss: 0.9868	LR: 0.100000
Training Epoch: 3 [20224/47500]	Loss: 0.8643	LR: 0.100000
Training Epoch: 3 [20480/47500]	Loss: 1.0186	LR: 0.100000
Training Epoch: 3 [20736/47500]	Loss: 0.9336	LR: 0.100000
Training Epoch: 3 [20992/47500]	Loss: 0.8502	LR: 0.100000
Training Epoch: 3 [21248/47500]	Loss: 0.9651	LR: 0.100000
Training Epoch: 3 [21504/47500]	Loss: 0.9222	LR: 0.100000
Training Epoch: 3 [21760/47500]	Loss: 0.9388	LR: 0.100000
Training Epoch: 3 [22016/47500]	Loss: 0.9897	LR: 0.100000
Training Epoch: 3 [22272/47500]	Loss: 1.0476	LR: 0.100000
Training Epoch: 3 [22528/47500]	Loss: 1.0380	LR: 0.100000
Training Epoch: 3 [22784/47500]	Loss: 0.8063	LR: 0.100000
Training Epoch: 3 [23040/47500]	Loss: 1.0742	LR: 0.100000
Training Epoch: 3 [23296/47500]	Loss: 0.9470	LR: 0.100000
Training Epoch: 3 [23552/47500]	Loss: 0.9735	LR: 0.100000
Training Epoch: 3 [23808/47500]	Loss: 0.8976	LR: 0.100000
Training Epoch: 3 [24064/47500]	Loss: 0.9790	LR: 0.100000
Training Epoch: 3 [24320/47500]	Loss: 1.0650	LR: 0.100000
Training Epoch: 3 [24576/47500]	Loss: 0.9641	LR: 0.100000
Training Epoch: 3 [24832/47500]	Loss: 0.9529	LR: 0.100000
Training Epoch: 3 [25088/47500]	Loss: 0.9903	LR: 0.100000
Training Epoch: 3 [25344/47500]	Loss: 0.9813	LR: 0.100000
Training Epoch: 3 [25600/47500]	Loss: 0.8280	LR: 0.100000
Training Epoch: 3 [25856/47500]	Loss: 0.8670	LR: 0.100000
Training Epoch: 3 [26112/47500]	Loss: 1.0269	LR: 0.100000
Training Epoch: 3 [26368/47500]	Loss: 1.0123	LR: 0.100000
Training Epoch: 3 [26624/47500]	Loss: 0.7693	LR: 0.100000
Training Epoch: 3 [26880/47500]	Loss: 0.8729	LR: 0.100000
Training Epoch: 3 [27136/47500]	Loss: 0.8737	LR: 0.100000
Training Epoch: 3 [27392/47500]	Loss: 0.8155	LR: 0.100000
Training Epoch: 3 [27648/47500]	Loss: 0.9801	LR: 0.100000
Training Epoch: 3 [27904/47500]	Loss: 1.0029	LR: 0.100000
Training Epoch: 3 [28160/47500]	Loss: 0.7825	LR: 0.100000
Training Epoch: 3 [28416/47500]	Loss: 0.9361	LR: 0.100000
Training Epoch: 3 [28672/47500]	Loss: 0.9880	LR: 0.100000
Training Epoch: 3 [28928/47500]	Loss: 0.9516	LR: 0.100000
Training Epoch: 3 [29184/47500]	Loss: 0.9823	LR: 0.100000
Training Epoch: 3 [29440/47500]	Loss: 0.7583	LR: 0.100000
Training Epoch: 3 [29696/47500]	Loss: 0.9642	LR: 0.100000
Training Epoch: 3 [29952/47500]	Loss: 0.9756	LR: 0.100000
Training Epoch: 3 [30208/47500]	Loss: 0.8633	LR: 0.100000
Training Epoch: 3 [30464/47500]	Loss: 1.0564	LR: 0.100000
Training Epoch: 3 [30720/47500]	Loss: 0.9318	LR: 0.100000
Training Epoch: 3 [30976/47500]	Loss: 0.9296	LR: 0.100000
Training Epoch: 3 [31232/47500]	Loss: 0.8458	LR: 0.100000
Training Epoch: 3 [31488/47500]	Loss: 0.8728	LR: 0.100000
Training Epoch: 3 [31744/47500]	Loss: 0.9268	LR: 0.100000
Training Epoch: 3 [32000/47500]	Loss: 0.9388	LR: 0.100000
Training Epoch: 3 [32256/47500]	Loss: 0.8524	LR: 0.100000
Training Epoch: 3 [32512/47500]	Loss: 1.0036	LR: 0.100000
Training Epoch: 3 [32768/47500]	Loss: 1.0118	LR: 0.100000
Training Epoch: 3 [33024/47500]	Loss: 0.8828	LR: 0.100000
Training Epoch: 3 [33280/47500]	Loss: 0.9451	LR: 0.100000
Training Epoch: 3 [33536/47500]	Loss: 0.8150	LR: 0.100000
Training Epoch: 3 [33792/47500]	Loss: 0.9148	LR: 0.100000
Training Epoch: 3 [34048/47500]	Loss: 0.8921	LR: 0.100000
Training Epoch: 3 [34304/47500]	Loss: 0.9243	LR: 0.100000
Training Epoch: 3 [34560/47500]	Loss: 0.8657	LR: 0.100000
Training Epoch: 3 [34816/47500]	Loss: 1.0011	LR: 0.100000
Training Epoch: 3 [35072/47500]	Loss: 0.9291	LR: 0.100000
Training Epoch: 3 [35328/47500]	Loss: 0.8473	LR: 0.100000
Training Epoch: 3 [35584/47500]	Loss: 0.8681	LR: 0.100000
Training Epoch: 3 [35840/47500]	Loss: 0.9098	LR: 0.100000
Training Epoch: 3 [36096/47500]	Loss: 0.8307	LR: 0.100000
Training Epoch: 3 [36352/47500]	Loss: 0.9467	LR: 0.100000
Training Epoch: 3 [36608/47500]	Loss: 0.9682	LR: 0.100000
Training Epoch: 3 [36864/47500]	Loss: 0.8002	LR: 0.100000
Training Epoch: 3 [37120/47500]	Loss: 0.8709	LR: 0.100000
Training Epoch: 3 [37376/47500]	Loss: 0.9092	LR: 0.100000
Training Epoch: 3 [37632/47500]	Loss: 0.8501	LR: 0.100000
Training Epoch: 3 [37888/47500]	Loss: 0.8662	LR: 0.100000
Training Epoch: 3 [38144/47500]	Loss: 0.9086	LR: 0.100000
Training Epoch: 3 [38400/47500]	Loss: 0.8514	LR: 0.100000
Training Epoch: 3 [38656/47500]	Loss: 0.8187	LR: 0.100000
Training Epoch: 3 [38912/47500]	Loss: 0.9280	LR: 0.100000
Training Epoch: 3 [39168/47500]	Loss: 0.9070	LR: 0.100000
Training Epoch: 3 [39424/47500]	Loss: 0.9552	LR: 0.100000
Training Epoch: 3 [39680/47500]	Loss: 0.9083	LR: 0.100000
Training Epoch: 3 [39936/47500]	Loss: 0.9510	LR: 0.100000
Training Epoch: 3 [40192/47500]	Loss: 1.1176	LR: 0.100000
Training Epoch: 3 [40448/47500]	Loss: 0.9429	LR: 0.100000
Training Epoch: 3 [40704/47500]	Loss: 0.8711	LR: 0.100000
Training Epoch: 3 [40960/47500]	Loss: 0.9910	LR: 0.100000
Training Epoch: 3 [41216/47500]	Loss: 0.8097	LR: 0.100000
Training Epoch: 3 [41472/47500]	Loss: 1.0112	LR: 0.100000
Training Epoch: 3 [41728/47500]	Loss: 1.0618	LR: 0.100000
Training Epoch: 3 [41984/47500]	Loss: 0.9895	LR: 0.100000
Training Epoch: 3 [42240/47500]	Loss: 0.8101	LR: 0.100000
Training Epoch: 3 [42496/47500]	Loss: 0.9873	LR: 0.100000
Training Epoch: 3 [42752/47500]	Loss: 0.9512	LR: 0.100000
Training Epoch: 3 [43008/47500]	Loss: 0.9235	LR: 0.100000
Training Epoch: 3 [43264/47500]	Loss: 0.9378	LR: 0.100000
Training Epoch: 3 [43520/47500]	Loss: 0.8082	LR: 0.100000
Training Epoch: 3 [43776/47500]	Loss: 0.8121	LR: 0.100000
Training Epoch: 3 [44032/47500]	Loss: 1.0213	LR: 0.100000
Training Epoch: 3 [44288/47500]	Loss: 0.8192	LR: 0.100000
Training Epoch: 3 [44544/47500]	Loss: 0.8418	LR: 0.100000
Training Epoch: 3 [44800/47500]	Loss: 0.8153	LR: 0.100000
Training Epoch: 3 [45056/47500]	Loss: 0.8600	LR: 0.100000
Training Epoch: 3 [45312/47500]	Loss: 0.8754	LR: 0.100000
Training Epoch: 3 [45568/47500]	Loss: 0.8066	LR: 0.100000
Training Epoch: 3 [45824/47500]	Loss: 0.7369	LR: 0.100000
Training Epoch: 3 [46080/47500]	Loss: 0.8125	LR: 0.100000
Training Epoch: 3 [46336/47500]	Loss: 0.6897	LR: 0.100000
Training Epoch: 3 [46592/47500]	Loss: 0.8584	LR: 0.100000
Training Epoch: 3 [46848/47500]	Loss: 1.0078	LR: 0.100000
Training Epoch: 3 [47104/47500]	Loss: 0.8630	LR: 0.100000
Training Epoch: 3 [47360/47500]	Loss: 0.8485	LR: 0.100000
Training Epoch: 3 [47500/47500]	Loss: 0.8562	LR: 0.100000
Epoch 3 - Average Train Loss: 0.9500, Train Accuracy: 0.6685
Epoch 3 training time consumed: 29.96s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0033, Accuracy: 0.7070, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_09h_43m_21s/ResNet18-Cifar10-seed2-ret50-3-best.pth
Training Epoch: 4 [256/47500]	Loss: 0.8438	LR: 0.100000
Training Epoch: 4 [512/47500]	Loss: 0.7949	LR: 0.100000
Training Epoch: 4 [768/47500]	Loss: 0.6975	LR: 0.100000
Training Epoch: 4 [1024/47500]	Loss: 0.7518	LR: 0.100000
Training Epoch: 4 [1280/47500]	Loss: 0.9498	LR: 0.100000
Training Epoch: 4 [1536/47500]	Loss: 0.7733	LR: 0.100000
Training Epoch: 4 [1792/47500]	Loss: 0.8647	LR: 0.100000
Training Epoch: 4 [2048/47500]	Loss: 0.8968	LR: 0.100000
Training Epoch: 4 [2304/47500]	Loss: 0.8655	LR: 0.100000
Training Epoch: 4 [2560/47500]	Loss: 0.7906	LR: 0.100000
Training Epoch: 4 [2816/47500]	Loss: 0.9235	LR: 0.100000
Training Epoch: 4 [3072/47500]	Loss: 0.7249	LR: 0.100000
Training Epoch: 4 [3328/47500]	Loss: 0.8253	LR: 0.100000
Training Epoch: 4 [3584/47500]	Loss: 0.7463	LR: 0.100000
Training Epoch: 4 [3840/47500]	Loss: 0.8444	LR: 0.100000
Training Epoch: 4 [4096/47500]	Loss: 0.8907	LR: 0.100000
Training Epoch: 4 [4352/47500]	Loss: 0.7526	LR: 0.100000
Training Epoch: 4 [4608/47500]	Loss: 0.8462	LR: 0.100000
Training Epoch: 4 [4864/47500]	Loss: 0.7196	LR: 0.100000
Training Epoch: 4 [5120/47500]	Loss: 0.8660	LR: 0.100000
Training Epoch: 4 [5376/47500]	Loss: 0.8160	LR: 0.100000
Training Epoch: 4 [5632/47500]	Loss: 0.9611	LR: 0.100000
Training Epoch: 4 [5888/47500]	Loss: 0.9571	LR: 0.100000
Training Epoch: 4 [6144/47500]	Loss: 0.9005	LR: 0.100000
Training Epoch: 4 [6400/47500]	Loss: 0.8116	LR: 0.100000
Training Epoch: 4 [6656/47500]	Loss: 0.8225	LR: 0.100000
Training Epoch: 4 [6912/47500]	Loss: 0.7657	LR: 0.100000
Training Epoch: 4 [7168/47500]	Loss: 0.8044	LR: 0.100000
Training Epoch: 4 [7424/47500]	Loss: 0.6563	LR: 0.100000
Training Epoch: 4 [7680/47500]	Loss: 0.8440	LR: 0.100000
Training Epoch: 4 [7936/47500]	Loss: 0.8352	LR: 0.100000
Training Epoch: 4 [8192/47500]	Loss: 0.8522	LR: 0.100000
Training Epoch: 4 [8448/47500]	Loss: 0.7836	LR: 0.100000
Training Epoch: 4 [8704/47500]	Loss: 0.8239	LR: 0.100000
Training Epoch: 4 [8960/47500]	Loss: 0.7690	LR: 0.100000
Training Epoch: 4 [9216/47500]	Loss: 0.8024	LR: 0.100000
Training Epoch: 4 [9472/47500]	Loss: 0.7609	LR: 0.100000
Training Epoch: 4 [9728/47500]	Loss: 0.7616	LR: 0.100000
Training Epoch: 4 [9984/47500]	Loss: 0.9055	LR: 0.100000
Training Epoch: 4 [10240/47500]	Loss: 0.7710	LR: 0.100000
Training Epoch: 4 [10496/47500]	Loss: 0.8104	LR: 0.100000
Training Epoch: 4 [10752/47500]	Loss: 0.7652	LR: 0.100000
Training Epoch: 4 [11008/47500]	Loss: 0.8545	LR: 0.100000
Training Epoch: 4 [11264/47500]	Loss: 0.8547	LR: 0.100000
Training Epoch: 4 [11520/47500]	Loss: 0.8181	LR: 0.100000
Training Epoch: 4 [11776/47500]	Loss: 0.7580	LR: 0.100000
Training Epoch: 4 [12032/47500]	Loss: 0.8134	LR: 0.100000
Training Epoch: 4 [12288/47500]	Loss: 0.9068	LR: 0.100000
Training Epoch: 4 [12544/47500]	Loss: 0.9066	LR: 0.100000
Training Epoch: 4 [12800/47500]	Loss: 0.8903	LR: 0.100000
Training Epoch: 4 [13056/47500]	Loss: 0.8348	LR: 0.100000
Training Epoch: 4 [13312/47500]	Loss: 0.7134	LR: 0.100000
Training Epoch: 4 [13568/47500]	Loss: 0.8419	LR: 0.100000
Training Epoch: 4 [13824/47500]	Loss: 0.9080	LR: 0.100000
Training Epoch: 4 [14080/47500]	Loss: 0.7685	LR: 0.100000
Training Epoch: 4 [14336/47500]	Loss: 0.8015	LR: 0.100000
Training Epoch: 4 [14592/47500]	Loss: 0.8866	LR: 0.100000
Training Epoch: 4 [14848/47500]	Loss: 0.8245	LR: 0.100000
Training Epoch: 4 [15104/47500]	Loss: 0.8620	LR: 0.100000
Training Epoch: 4 [15360/47500]	Loss: 0.7119	LR: 0.100000
Training Epoch: 4 [15616/47500]	Loss: 0.7781	LR: 0.100000
Training Epoch: 4 [15872/47500]	Loss: 0.8305	LR: 0.100000
Training Epoch: 4 [16128/47500]	Loss: 0.7593	LR: 0.100000
Training Epoch: 4 [16384/47500]	Loss: 0.7541	LR: 0.100000
Training Epoch: 4 [16640/47500]	Loss: 0.8213	LR: 0.100000
Training Epoch: 4 [16896/47500]	Loss: 0.8282	LR: 0.100000
Training Epoch: 4 [17152/47500]	Loss: 0.8278	LR: 0.100000
Training Epoch: 4 [17408/47500]	Loss: 0.8189	LR: 0.100000
Training Epoch: 4 [17664/47500]	Loss: 0.8737	LR: 0.100000
Training Epoch: 4 [17920/47500]	Loss: 0.7359	LR: 0.100000
Training Epoch: 4 [18176/47500]	Loss: 0.8005	LR: 0.100000
Training Epoch: 4 [18432/47500]	Loss: 0.6729	LR: 0.100000
Training Epoch: 4 [18688/47500]	Loss: 0.7634	LR: 0.100000
Training Epoch: 4 [18944/47500]	Loss: 0.9134	LR: 0.100000
Training Epoch: 4 [19200/47500]	Loss: 0.7152	LR: 0.100000
Training Epoch: 4 [19456/47500]	Loss: 0.7130	LR: 0.100000
Training Epoch: 4 [19712/47500]	Loss: 0.7831	LR: 0.100000
Training Epoch: 4 [19968/47500]	Loss: 0.8443	LR: 0.100000
Training Epoch: 4 [20224/47500]	Loss: 0.8580	LR: 0.100000
Training Epoch: 4 [20480/47500]	Loss: 0.8125	LR: 0.100000
Training Epoch: 4 [20736/47500]	Loss: 0.7499	LR: 0.100000
Training Epoch: 4 [20992/47500]	Loss: 0.7115	LR: 0.100000
Training Epoch: 4 [21248/47500]	Loss: 0.7561	LR: 0.100000
Training Epoch: 4 [21504/47500]	Loss: 0.7868	LR: 0.100000
Training Epoch: 4 [21760/47500]	Loss: 0.7223	LR: 0.100000
Training Epoch: 4 [22016/47500]	Loss: 0.7537	LR: 0.100000
Training Epoch: 4 [22272/47500]	Loss: 0.7814	LR: 0.100000
Training Epoch: 4 [22528/47500]	Loss: 0.6430	LR: 0.100000
Training Epoch: 4 [22784/47500]	Loss: 0.7232	LR: 0.100000
Training Epoch: 4 [23040/47500]	Loss: 0.7112	LR: 0.100000
Training Epoch: 4 [23296/47500]	Loss: 0.7303	LR: 0.100000
Training Epoch: 4 [23552/47500]	Loss: 0.8151	LR: 0.100000
Training Epoch: 4 [23808/47500]	Loss: 0.6732	LR: 0.100000
Training Epoch: 4 [24064/47500]	Loss: 0.8172	LR: 0.100000
Training Epoch: 4 [24320/47500]	Loss: 1.0033	LR: 0.100000
Training Epoch: 4 [24576/47500]	Loss: 0.8967	LR: 0.100000
Training Epoch: 4 [24832/47500]	Loss: 0.8551	LR: 0.100000
Training Epoch: 4 [25088/47500]	Loss: 0.7589	LR: 0.100000
Training Epoch: 4 [25344/47500]	Loss: 0.8128	LR: 0.100000
Training Epoch: 4 [25600/47500]	Loss: 0.7556	LR: 0.100000
Training Epoch: 4 [25856/47500]	Loss: 0.7607	LR: 0.100000
Training Epoch: 4 [26112/47500]	Loss: 0.6763	LR: 0.100000
Training Epoch: 4 [26368/47500]	Loss: 0.8465	LR: 0.100000
Training Epoch: 4 [26624/47500]	Loss: 0.8670	LR: 0.100000
Training Epoch: 4 [26880/47500]	Loss: 0.7773	LR: 0.100000
Training Epoch: 4 [27136/47500]	Loss: 0.8562	LR: 0.100000
Training Epoch: 4 [27392/47500]	Loss: 0.7736	LR: 0.100000
Training Epoch: 4 [27648/47500]	Loss: 0.7576	LR: 0.100000
Training Epoch: 4 [27904/47500]	Loss: 0.8380	LR: 0.100000
Training Epoch: 4 [28160/47500]	Loss: 0.7718	LR: 0.100000
Training Epoch: 4 [28416/47500]	Loss: 0.8369	LR: 0.100000
Training Epoch: 4 [28672/47500]	Loss: 0.8953	LR: 0.100000
Training Epoch: 4 [28928/47500]	Loss: 0.8134	LR: 0.100000
Training Epoch: 4 [29184/47500]	Loss: 0.7489	LR: 0.100000
Training Epoch: 4 [29440/47500]	Loss: 0.8178	LR: 0.100000
Training Epoch: 4 [29696/47500]	Loss: 0.7672	LR: 0.100000
Training Epoch: 4 [29952/47500]	Loss: 0.8289	LR: 0.100000
Training Epoch: 4 [30208/47500]	Loss: 0.7178	LR: 0.100000
Training Epoch: 4 [30464/47500]	Loss: 0.8451	LR: 0.100000
Training Epoch: 4 [30720/47500]	Loss: 0.8473	LR: 0.100000
Training Epoch: 4 [30976/47500]	Loss: 0.8430	LR: 0.100000
Training Epoch: 4 [31232/47500]	Loss: 0.8028	LR: 0.100000
Training Epoch: 4 [31488/47500]	Loss: 0.7217	LR: 0.100000
Training Epoch: 4 [31744/47500]	Loss: 0.7060	LR: 0.100000
Training Epoch: 4 [32000/47500]	Loss: 0.8996	LR: 0.100000
Training Epoch: 4 [32256/47500]	Loss: 0.7869	LR: 0.100000
Training Epoch: 4 [32512/47500]	Loss: 0.7762	LR: 0.100000
Training Epoch: 4 [32768/47500]	Loss: 0.7661	LR: 0.100000
Training Epoch: 4 [33024/47500]	Loss: 0.7760	LR: 0.100000
Training Epoch: 4 [33280/47500]	Loss: 0.5989	LR: 0.100000
Training Epoch: 4 [33536/47500]	Loss: 0.8546	LR: 0.100000
Training Epoch: 4 [33792/47500]	Loss: 0.7712	LR: 0.100000
Training Epoch: 4 [34048/47500]	Loss: 0.7992	LR: 0.100000
Training Epoch: 4 [34304/47500]	Loss: 0.8336	LR: 0.100000
Training Epoch: 4 [34560/47500]	Loss: 0.6897	LR: 0.100000
Training Epoch: 4 [34816/47500]	Loss: 0.8284	LR: 0.100000
Training Epoch: 4 [35072/47500]	Loss: 0.7198	LR: 0.100000
Training Epoch: 4 [35328/47500]	Loss: 0.8010	LR: 0.100000
Training Epoch: 4 [35584/47500]	Loss: 0.7133	LR: 0.100000
Training Epoch: 4 [35840/47500]	Loss: 0.8360	LR: 0.100000
Training Epoch: 4 [36096/47500]	Loss: 0.8230	LR: 0.100000
Training Epoch: 4 [36352/47500]	Loss: 0.7011	LR: 0.100000
Training Epoch: 4 [36608/47500]	Loss: 0.7985	LR: 0.100000
Training Epoch: 4 [36864/47500]	Loss: 0.6820	LR: 0.100000
Training Epoch: 4 [37120/47500]	Loss: 0.7498	LR: 0.100000
Training Epoch: 4 [37376/47500]	Loss: 0.7962	LR: 0.100000
Training Epoch: 4 [37632/47500]	Loss: 0.6730	LR: 0.100000
Training Epoch: 4 [37888/47500]	Loss: 0.8606	LR: 0.100000
Training Epoch: 4 [38144/47500]	Loss: 0.8605	LR: 0.100000
Training Epoch: 4 [38400/47500]	Loss: 0.7670	LR: 0.100000
Training Epoch: 4 [38656/47500]	Loss: 0.7684	LR: 0.100000
Training Epoch: 4 [38912/47500]	Loss: 0.8396	LR: 0.100000
Training Epoch: 4 [39168/47500]	Loss: 0.8714	LR: 0.100000
Training Epoch: 4 [39424/47500]	Loss: 0.6962	LR: 0.100000
Training Epoch: 4 [39680/47500]	Loss: 0.8021	LR: 0.100000
Training Epoch: 4 [39936/47500]	Loss: 0.6493	LR: 0.100000
Training Epoch: 4 [40192/47500]	Loss: 0.8782	LR: 0.100000
Training Epoch: 4 [40448/47500]	Loss: 0.8741	LR: 0.100000
Training Epoch: 4 [40704/47500]	Loss: 0.8259	LR: 0.100000
Training Epoch: 4 [40960/47500]	Loss: 0.6962	LR: 0.100000
Training Epoch: 4 [41216/47500]	Loss: 0.8077	LR: 0.100000
Training Epoch: 4 [41472/47500]	Loss: 0.8619	LR: 0.100000
Training Epoch: 4 [41728/47500]	Loss: 0.7704	LR: 0.100000
Training Epoch: 4 [41984/47500]	Loss: 0.8354	LR: 0.100000
Training Epoch: 4 [42240/47500]	Loss: 0.7906	LR: 0.100000
Training Epoch: 4 [42496/47500]	Loss: 0.7109	LR: 0.100000
Training Epoch: 4 [42752/47500]	Loss: 0.8167	LR: 0.100000
Training Epoch: 4 [43008/47500]	Loss: 0.7361	LR: 0.100000
Training Epoch: 4 [43264/47500]	Loss: 0.6613	LR: 0.100000
Training Epoch: 4 [43520/47500]	Loss: 0.7542	LR: 0.100000
Training Epoch: 4 [43776/47500]	Loss: 0.8176	LR: 0.100000
Training Epoch: 4 [44032/47500]	Loss: 0.8289	LR: 0.100000
Training Epoch: 4 [44288/47500]	Loss: 0.7747	LR: 0.100000
Training Epoch: 4 [44544/47500]	Loss: 0.7857	LR: 0.100000
Training Epoch: 4 [44800/47500]	Loss: 0.7952	LR: 0.100000
Training Epoch: 4 [45056/47500]	Loss: 0.6960	LR: 0.100000
Training Epoch: 4 [45312/47500]	Loss: 0.7348	LR: 0.100000
Training Epoch: 4 [45568/47500]	Loss: 0.7384	LR: 0.100000
Training Epoch: 4 [45824/47500]	Loss: 0.7344	LR: 0.100000
Training Epoch: 4 [46080/47500]	Loss: 0.6764	LR: 0.100000
Training Epoch: 4 [46336/47500]	Loss: 0.8051	LR: 0.100000
Training Epoch: 4 [46592/47500]	Loss: 0.7680	LR: 0.100000
Training Epoch: 4 [46848/47500]	Loss: 0.6058	LR: 0.100000
Training Epoch: 4 [47104/47500]	Loss: 0.7713	LR: 0.100000
Training Epoch: 4 [47360/47500]	Loss: 0.7444	LR: 0.100000
Training Epoch: 4 [47500/47500]	Loss: 0.7880	LR: 0.100000
Epoch 4 - Average Train Loss: 0.7939, Train Accuracy: 0.7221
Epoch 4 training time consumed: 29.32s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0032, Accuracy: 0.7303, Time consumed:0.99s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_09h_43m_21s/ResNet18-Cifar10-seed2-ret50-4-best.pth
Training Epoch: 5 [256/47500]	Loss: 0.6680	LR: 0.100000
Training Epoch: 5 [512/47500]	Loss: 0.6728	LR: 0.100000
Training Epoch: 5 [768/47500]	Loss: 0.8291	LR: 0.100000
Training Epoch: 5 [1024/47500]	Loss: 0.7040	LR: 0.100000
Training Epoch: 5 [1280/47500]	Loss: 0.5777	LR: 0.100000
Training Epoch: 5 [1536/47500]	Loss: 0.7879	LR: 0.100000
Training Epoch: 5 [1792/47500]	Loss: 0.5929	LR: 0.100000
Training Epoch: 5 [2048/47500]	Loss: 0.7317	LR: 0.100000
Training Epoch: 5 [2304/47500]	Loss: 0.8299	LR: 0.100000
Training Epoch: 5 [2560/47500]	Loss: 0.7282	LR: 0.100000
Training Epoch: 5 [2816/47500]	Loss: 0.6694	LR: 0.100000
Training Epoch: 5 [3072/47500]	Loss: 0.7692	LR: 0.100000
Training Epoch: 5 [3328/47500]	Loss: 0.6908	LR: 0.100000
Training Epoch: 5 [3584/47500]	Loss: 0.7057	LR: 0.100000
Training Epoch: 5 [3840/47500]	Loss: 0.7268	LR: 0.100000
Training Epoch: 5 [4096/47500]	Loss: 0.7686	LR: 0.100000
Training Epoch: 5 [4352/47500]	Loss: 0.8098	LR: 0.100000
Training Epoch: 5 [4608/47500]	Loss: 0.7187	LR: 0.100000
Training Epoch: 5 [4864/47500]	Loss: 0.7504	LR: 0.100000
Training Epoch: 5 [5120/47500]	Loss: 0.6996	LR: 0.100000
Training Epoch: 5 [5376/47500]	Loss: 0.6855	LR: 0.100000
Training Epoch: 5 [5632/47500]	Loss: 0.7655	LR: 0.100000
Training Epoch: 5 [5888/47500]	Loss: 0.6870	LR: 0.100000
Training Epoch: 5 [6144/47500]	Loss: 0.7011	LR: 0.100000
Training Epoch: 5 [6400/47500]	Loss: 0.7577	LR: 0.100000
Training Epoch: 5 [6656/47500]	Loss: 0.8091	LR: 0.100000
Training Epoch: 5 [6912/47500]	Loss: 0.6842	LR: 0.100000
Training Epoch: 5 [7168/47500]	Loss: 0.7472	LR: 0.100000
Training Epoch: 5 [7424/47500]	Loss: 0.7299	LR: 0.100000
Training Epoch: 5 [7680/47500]	Loss: 0.6586	LR: 0.100000
Training Epoch: 5 [7936/47500]	Loss: 0.7390	LR: 0.100000
Training Epoch: 5 [8192/47500]	Loss: 0.7437	LR: 0.100000
Training Epoch: 5 [8448/47500]	Loss: 0.7797	LR: 0.100000
Training Epoch: 5 [8704/47500]	Loss: 0.6640	LR: 0.100000
Training Epoch: 5 [8960/47500]	Loss: 0.8248	LR: 0.100000
Training Epoch: 5 [9216/47500]	Loss: 0.7691	LR: 0.100000
Training Epoch: 5 [9472/47500]	Loss: 0.6884	LR: 0.100000
Training Epoch: 5 [9728/47500]	Loss: 0.7768	LR: 0.100000
Training Epoch: 5 [9984/47500]	Loss: 0.7656	LR: 0.100000
Training Epoch: 5 [10240/47500]	Loss: 0.6276	LR: 0.100000
Training Epoch: 5 [10496/47500]	Loss: 0.7787	LR: 0.100000
Training Epoch: 5 [10752/47500]	Loss: 0.8433	LR: 0.100000
Training Epoch: 5 [11008/47500]	Loss: 0.7832	LR: 0.100000
Training Epoch: 5 [11264/47500]	Loss: 0.7023	LR: 0.100000
Training Epoch: 5 [11520/47500]	Loss: 0.7199	LR: 0.100000
Training Epoch: 5 [11776/47500]	Loss: 0.8080	LR: 0.100000
Training Epoch: 5 [12032/47500]	Loss: 0.7008	LR: 0.100000
Training Epoch: 5 [12288/47500]	Loss: 0.6695	LR: 0.100000
Training Epoch: 5 [12544/47500]	Loss: 0.7452	LR: 0.100000
Training Epoch: 5 [12800/47500]	Loss: 0.8939	LR: 0.100000
Training Epoch: 5 [13056/47500]	Loss: 0.6573	LR: 0.100000
Training Epoch: 5 [13312/47500]	Loss: 0.7166	LR: 0.100000
Training Epoch: 5 [13568/47500]	Loss: 0.7689	LR: 0.100000
Training Epoch: 5 [13824/47500]	Loss: 0.8866	LR: 0.100000
Training Epoch: 5 [14080/47500]	Loss: 0.8172	LR: 0.100000
Training Epoch: 5 [14336/47500]	Loss: 0.8059	LR: 0.100000
Training Epoch: 5 [14592/47500]	Loss: 0.8467	LR: 0.100000
Training Epoch: 5 [14848/47500]	Loss: 0.7032	LR: 0.100000
Training Epoch: 5 [15104/47500]	Loss: 0.7844	LR: 0.100000
Training Epoch: 5 [15360/47500]	Loss: 0.7645	LR: 0.100000
Training Epoch: 5 [15616/47500]	Loss: 0.7162	LR: 0.100000
Training Epoch: 5 [15872/47500]	Loss: 0.7773	LR: 0.100000
Training Epoch: 5 [16128/47500]	Loss: 0.7259	LR: 0.100000
Training Epoch: 5 [16384/47500]	Loss: 0.6846	LR: 0.100000
Training Epoch: 5 [16640/47500]	Loss: 0.7441	LR: 0.100000
Training Epoch: 5 [16896/47500]	Loss: 0.6907	LR: 0.100000
Training Epoch: 5 [17152/47500]	Loss: 0.7980	LR: 0.100000
Training Epoch: 5 [17408/47500]	Loss: 0.7448	LR: 0.100000
Training Epoch: 5 [17664/47500]	Loss: 0.7337	LR: 0.100000
Training Epoch: 5 [17920/47500]	Loss: 0.7573	LR: 0.100000
Training Epoch: 5 [18176/47500]	Loss: 0.7606	LR: 0.100000
Training Epoch: 5 [18432/47500]	Loss: 0.6444	LR: 0.100000
Training Epoch: 5 [18688/47500]	Loss: 0.8204	LR: 0.100000
Training Epoch: 5 [18944/47500]	Loss: 0.5756	LR: 0.100000
Training Epoch: 5 [19200/47500]	Loss: 0.7259	LR: 0.100000
Training Epoch: 5 [19456/47500]	Loss: 0.7876	LR: 0.100000
Training Epoch: 5 [19712/47500]	Loss: 0.7530	LR: 0.100000
Training Epoch: 5 [19968/47500]	Loss: 0.6344	LR: 0.100000
Training Epoch: 5 [20224/47500]	Loss: 0.6383	LR: 0.100000
Training Epoch: 5 [20480/47500]	Loss: 0.7463	LR: 0.100000
Training Epoch: 5 [20736/47500]	Loss: 0.7351	LR: 0.100000
Training Epoch: 5 [20992/47500]	Loss: 0.7995	LR: 0.100000
Training Epoch: 5 [21248/47500]	Loss: 0.6443	LR: 0.100000
Training Epoch: 5 [21504/47500]	Loss: 0.6207	LR: 0.100000
Training Epoch: 5 [21760/47500]	Loss: 0.7287	LR: 0.100000
Training Epoch: 5 [22016/47500]	Loss: 0.6766	LR: 0.100000
Training Epoch: 5 [22272/47500]	Loss: 0.7122	LR: 0.100000
Training Epoch: 5 [22528/47500]	Loss: 0.8108	LR: 0.100000
Training Epoch: 5 [22784/47500]	Loss: 0.7593	LR: 0.100000
Training Epoch: 5 [23040/47500]	Loss: 0.6274	LR: 0.100000
Training Epoch: 5 [23296/47500]	Loss: 0.7161	LR: 0.100000
Training Epoch: 5 [23552/47500]	Loss: 0.6719	LR: 0.100000
Training Epoch: 5 [23808/47500]	Loss: 0.7017	LR: 0.100000
Training Epoch: 5 [24064/47500]	Loss: 0.6805	LR: 0.100000
Training Epoch: 5 [24320/47500]	Loss: 0.6985	LR: 0.100000
Training Epoch: 5 [24576/47500]	Loss: 0.7980	LR: 0.100000
Training Epoch: 5 [24832/47500]	Loss: 0.7385	LR: 0.100000
Training Epoch: 5 [25088/47500]	Loss: 0.7571	LR: 0.100000
Training Epoch: 5 [25344/47500]	Loss: 0.7879	LR: 0.100000
Training Epoch: 5 [25600/47500]	Loss: 0.6344	LR: 0.100000
Training Epoch: 5 [25856/47500]	Loss: 0.5841	LR: 0.100000
Training Epoch: 5 [26112/47500]	Loss: 0.6654	LR: 0.100000
Training Epoch: 5 [26368/47500]	Loss: 0.7050	LR: 0.100000
Training Epoch: 5 [26624/47500]	Loss: 0.6752	LR: 0.100000
Training Epoch: 5 [26880/47500]	Loss: 0.7742	LR: 0.100000
Training Epoch: 5 [27136/47500]	Loss: 0.6435	LR: 0.100000
Training Epoch: 5 [27392/47500]	Loss: 0.7666	LR: 0.100000
Training Epoch: 5 [27648/47500]	Loss: 0.6741	LR: 0.100000
Training Epoch: 5 [27904/47500]	Loss: 0.6546	LR: 0.100000
Training Epoch: 5 [28160/47500]	Loss: 0.7681	LR: 0.100000
Training Epoch: 5 [28416/47500]	Loss: 0.6349	LR: 0.100000
Training Epoch: 5 [28672/47500]	Loss: 0.6806	LR: 0.100000
Training Epoch: 5 [28928/47500]	Loss: 0.6409	LR: 0.100000
Training Epoch: 5 [29184/47500]	Loss: 0.8148	LR: 0.100000
Training Epoch: 5 [29440/47500]	Loss: 0.7499	LR: 0.100000
Training Epoch: 5 [29696/47500]	Loss: 0.6350	LR: 0.100000
Training Epoch: 5 [29952/47500]	Loss: 0.7258	LR: 0.100000
Training Epoch: 5 [30208/47500]	Loss: 0.7261	LR: 0.100000
Training Epoch: 5 [30464/47500]	Loss: 0.7035	LR: 0.100000
Training Epoch: 5 [30720/47500]	Loss: 0.6576	LR: 0.100000
Training Epoch: 5 [30976/47500]	Loss: 0.7337	LR: 0.100000
Training Epoch: 5 [31232/47500]	Loss: 0.6049	LR: 0.100000
Training Epoch: 5 [31488/47500]	Loss: 0.6691	LR: 0.100000
Training Epoch: 5 [31744/47500]	Loss: 0.7175	LR: 0.100000
Training Epoch: 5 [32000/47500]	Loss: 0.6116	LR: 0.100000
Training Epoch: 5 [32256/47500]	Loss: 0.6552	LR: 0.100000
Training Epoch: 5 [32512/47500]	Loss: 0.6404	LR: 0.100000
Training Epoch: 5 [32768/47500]	Loss: 0.6356	LR: 0.100000
Training Epoch: 5 [33024/47500]	Loss: 0.7034	LR: 0.100000
Training Epoch: 5 [33280/47500]	Loss: 0.5949	LR: 0.100000
Training Epoch: 5 [33536/47500]	Loss: 0.7167	LR: 0.100000
Training Epoch: 5 [33792/47500]	Loss: 0.7968	LR: 0.100000
Training Epoch: 5 [34048/47500]	Loss: 0.7518	LR: 0.100000
Training Epoch: 5 [34304/47500]	Loss: 0.7030	LR: 0.100000
Training Epoch: 5 [34560/47500]	Loss: 0.6993	LR: 0.100000
Training Epoch: 5 [34816/47500]	Loss: 0.7008	LR: 0.100000
Training Epoch: 5 [35072/47500]	Loss: 0.7111	LR: 0.100000
Training Epoch: 5 [35328/47500]	Loss: 0.7622	LR: 0.100000
Training Epoch: 5 [35584/47500]	Loss: 0.6309	LR: 0.100000
Training Epoch: 5 [35840/47500]	Loss: 0.8945	LR: 0.100000
Training Epoch: 5 [36096/47500]	Loss: 0.7216	LR: 0.100000
Training Epoch: 5 [36352/47500]	Loss: 0.5997	LR: 0.100000
Training Epoch: 5 [36608/47500]	Loss: 0.8049	LR: 0.100000
Training Epoch: 5 [36864/47500]	Loss: 0.7455	LR: 0.100000
Training Epoch: 5 [37120/47500]	Loss: 0.7453	LR: 0.100000
Training Epoch: 5 [37376/47500]	Loss: 0.6261	LR: 0.100000
Training Epoch: 5 [37632/47500]	Loss: 0.6936	LR: 0.100000
Training Epoch: 5 [37888/47500]	Loss: 0.6935	LR: 0.100000
Training Epoch: 5 [38144/47500]	Loss: 0.6684	LR: 0.100000
Training Epoch: 5 [38400/47500]	Loss: 0.6612	LR: 0.100000
Training Epoch: 5 [38656/47500]	Loss: 0.7083	LR: 0.100000
Training Epoch: 5 [38912/47500]	Loss: 0.6968	LR: 0.100000
Training Epoch: 5 [39168/47500]	Loss: 0.6880	LR: 0.100000
Training Epoch: 5 [39424/47500]	Loss: 0.6292	LR: 0.100000
Training Epoch: 5 [39680/47500]	Loss: 0.7371	LR: 0.100000
Training Epoch: 5 [39936/47500]	Loss: 0.6696	LR: 0.100000
Training Epoch: 5 [40192/47500]	Loss: 0.7887	LR: 0.100000
Training Epoch: 5 [40448/47500]	Loss: 0.6906	LR: 0.100000
Training Epoch: 5 [40704/47500]	Loss: 0.5834	LR: 0.100000
Training Epoch: 5 [40960/47500]	Loss: 0.7534	LR: 0.100000
Training Epoch: 5 [41216/47500]	Loss: 0.5797	LR: 0.100000
Training Epoch: 5 [41472/47500]	Loss: 0.8206	LR: 0.100000
Training Epoch: 5 [41728/47500]	Loss: 0.7303	LR: 0.100000
Training Epoch: 5 [41984/47500]	Loss: 0.8963	LR: 0.100000
Training Epoch: 5 [42240/47500]	Loss: 0.8223	LR: 0.100000
Training Epoch: 5 [42496/47500]	Loss: 0.7000	LR: 0.100000
Training Epoch: 5 [42752/47500]	Loss: 0.7276	LR: 0.100000
Training Epoch: 5 [43008/47500]	Loss: 0.7262	LR: 0.100000
Training Epoch: 5 [43264/47500]	Loss: 0.7122	LR: 0.100000
Training Epoch: 5 [43520/47500]	Loss: 0.6908	LR: 0.100000
Training Epoch: 5 [43776/47500]	Loss: 0.7004	LR: 0.100000
Training Epoch: 5 [44032/47500]	Loss: 0.7590	LR: 0.100000
Training Epoch: 5 [44288/47500]	Loss: 0.8128	LR: 0.100000
Training Epoch: 5 [44544/47500]	Loss: 0.6434	LR: 0.100000
Training Epoch: 5 [44800/47500]	Loss: 0.6230	LR: 0.100000
Training Epoch: 5 [45056/47500]	Loss: 0.5672	LR: 0.100000
Training Epoch: 5 [45312/47500]	Loss: 0.7725	LR: 0.100000
Training Epoch: 5 [45568/47500]	Loss: 0.6542	LR: 0.100000
Training Epoch: 5 [45824/47500]	Loss: 0.6280	LR: 0.100000
Training Epoch: 5 [46080/47500]	Loss: 0.6404	LR: 0.100000
Training Epoch: 5 [46336/47500]	Loss: 0.6944	LR: 0.100000
Training Epoch: 5 [46592/47500]	Loss: 0.7290	LR: 0.100000
Training Epoch: 5 [46848/47500]	Loss: 0.8115	LR: 0.100000
Training Epoch: 5 [47104/47500]	Loss: 0.7283	LR: 0.100000
Training Epoch: 5 [47360/47500]	Loss: 0.7660	LR: 0.100000
Training Epoch: 5 [47500/47500]	Loss: 0.6791	LR: 0.100000
Epoch 5 - Average Train Loss: 0.7180, Train Accuracy: 0.7493
Epoch 5 training time consumed: 29.43s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0037, Accuracy: 0.6997, Time consumed:0.97s
Training Epoch: 6 [256/47500]	Loss: 0.6329	LR: 0.100000
Training Epoch: 6 [512/47500]	Loss: 0.6558	LR: 0.100000
Training Epoch: 6 [768/47500]	Loss: 0.7290	LR: 0.100000
Training Epoch: 6 [1024/47500]	Loss: 0.6347	LR: 0.100000
Training Epoch: 6 [1280/47500]	Loss: 0.7138	LR: 0.100000
Training Epoch: 6 [1536/47500]	Loss: 0.7645	LR: 0.100000
Training Epoch: 6 [1792/47500]	Loss: 0.7010	LR: 0.100000
Training Epoch: 6 [2048/47500]	Loss: 0.8335	LR: 0.100000
Training Epoch: 6 [2304/47500]	Loss: 0.6027	LR: 0.100000
Training Epoch: 6 [2560/47500]	Loss: 0.7253	LR: 0.100000
Training Epoch: 6 [2816/47500]	Loss: 0.7523	LR: 0.100000
Training Epoch: 6 [3072/47500]	Loss: 0.6022	LR: 0.100000
Training Epoch: 6 [3328/47500]	Loss: 0.6543	LR: 0.100000
Training Epoch: 6 [3584/47500]	Loss: 0.6495	LR: 0.100000
Training Epoch: 6 [3840/47500]	Loss: 0.6294	LR: 0.100000
Training Epoch: 6 [4096/47500]	Loss: 0.6856	LR: 0.100000
Training Epoch: 6 [4352/47500]	Loss: 0.6890	LR: 0.100000
Training Epoch: 6 [4608/47500]	Loss: 0.6156	LR: 0.100000
Training Epoch: 6 [4864/47500]	Loss: 0.6505	LR: 0.100000
Training Epoch: 6 [5120/47500]	Loss: 0.5551	LR: 0.100000
Training Epoch: 6 [5376/47500]	Loss: 0.5820	LR: 0.100000
Training Epoch: 6 [5632/47500]	Loss: 0.6279	LR: 0.100000
Training Epoch: 6 [5888/47500]	Loss: 0.7153	LR: 0.100000
Training Epoch: 6 [6144/47500]	Loss: 0.5598	LR: 0.100000
Training Epoch: 6 [6400/47500]	Loss: 0.5718	LR: 0.100000
Training Epoch: 6 [6656/47500]	Loss: 0.5452	LR: 0.100000
Training Epoch: 6 [6912/47500]	Loss: 0.6669	LR: 0.100000
Training Epoch: 6 [7168/47500]	Loss: 0.6716	LR: 0.100000
Training Epoch: 6 [7424/47500]	Loss: 0.7564	LR: 0.100000
Training Epoch: 6 [7680/47500]	Loss: 0.6880	LR: 0.100000
Training Epoch: 6 [7936/47500]	Loss: 0.5794	LR: 0.100000
Training Epoch: 6 [8192/47500]	Loss: 0.6571	LR: 0.100000
Training Epoch: 6 [8448/47500]	Loss: 0.6383	LR: 0.100000
Training Epoch: 6 [8704/47500]	Loss: 0.6060	LR: 0.100000
Training Epoch: 6 [8960/47500]	Loss: 0.5625	LR: 0.100000
Training Epoch: 6 [9216/47500]	Loss: 0.8452	LR: 0.100000
Training Epoch: 6 [9472/47500]	Loss: 0.7013	LR: 0.100000
Training Epoch: 6 [9728/47500]	Loss: 0.7794	LR: 0.100000
Training Epoch: 6 [9984/47500]	Loss: 0.6809	LR: 0.100000
Training Epoch: 6 [10240/47500]	Loss: 0.6302	LR: 0.100000
Training Epoch: 6 [10496/47500]	Loss: 0.6702	LR: 0.100000
Training Epoch: 6 [10752/47500]	Loss: 0.6801	LR: 0.100000
Training Epoch: 6 [11008/47500]	Loss: 0.7340	LR: 0.100000
Training Epoch: 6 [11264/47500]	Loss: 0.6834	LR: 0.100000
Training Epoch: 6 [11520/47500]	Loss: 0.5828	LR: 0.100000
Training Epoch: 6 [11776/47500]	Loss: 0.7175	LR: 0.100000
Training Epoch: 6 [12032/47500]	Loss: 0.6575	LR: 0.100000
Training Epoch: 6 [12288/47500]	Loss: 0.5550	LR: 0.100000
Training Epoch: 6 [12544/47500]	Loss: 0.6360	LR: 0.100000
Training Epoch: 6 [12800/47500]	Loss: 0.7216	LR: 0.100000
Training Epoch: 6 [13056/47500]	Loss: 0.6485	LR: 0.100000
Training Epoch: 6 [13312/47500]	Loss: 0.5805	LR: 0.100000
Training Epoch: 6 [13568/47500]	Loss: 0.7601	LR: 0.100000
Training Epoch: 6 [13824/47500]	Loss: 0.5973	LR: 0.100000
Training Epoch: 6 [14080/47500]	Loss: 0.6805	LR: 0.100000
Training Epoch: 6 [14336/47500]	Loss: 0.5374	LR: 0.100000
Training Epoch: 6 [14592/47500]	Loss: 0.7057	LR: 0.100000
Training Epoch: 6 [14848/47500]	Loss: 0.6956	LR: 0.100000
Training Epoch: 6 [15104/47500]	Loss: 0.5668	LR: 0.100000
Training Epoch: 6 [15360/47500]	Loss: 0.5715	LR: 0.100000
Training Epoch: 6 [15616/47500]	Loss: 0.6532	LR: 0.100000
Training Epoch: 6 [15872/47500]	Loss: 0.5643	LR: 0.100000
Training Epoch: 6 [16128/47500]	Loss: 0.6603	LR: 0.100000
Training Epoch: 6 [16384/47500]	Loss: 0.6225	LR: 0.100000
Training Epoch: 6 [16640/47500]	Loss: 0.5475	LR: 0.100000
Training Epoch: 6 [16896/47500]	Loss: 0.4898	LR: 0.100000
Training Epoch: 6 [17152/47500]	Loss: 0.4921	LR: 0.100000
Training Epoch: 6 [17408/47500]	Loss: 0.6598	LR: 0.100000
Training Epoch: 6 [17664/47500]	Loss: 0.5752	LR: 0.100000
Training Epoch: 6 [17920/47500]	Loss: 0.5943	LR: 0.100000
Training Epoch: 6 [18176/47500]	Loss: 0.6775	LR: 0.100000
Training Epoch: 6 [18432/47500]	Loss: 0.5397	LR: 0.100000
Training Epoch: 6 [18688/47500]	Loss: 0.5733	LR: 0.100000
Training Epoch: 6 [18944/47500]	Loss: 0.6808	LR: 0.100000
Training Epoch: 6 [19200/47500]	Loss: 0.6291	LR: 0.100000
Training Epoch: 6 [19456/47500]	Loss: 0.6503	LR: 0.100000
Training Epoch: 6 [19712/47500]	Loss: 0.7301	LR: 0.100000
Training Epoch: 6 [19968/47500]	Loss: 0.7353	LR: 0.100000
Training Epoch: 6 [20224/47500]	Loss: 0.5932	LR: 0.100000
Training Epoch: 6 [20480/47500]	Loss: 0.6831	LR: 0.100000
Training Epoch: 6 [20736/47500]	Loss: 0.7059	LR: 0.100000
Training Epoch: 6 [20992/47500]	Loss: 0.5285	LR: 0.100000
Training Epoch: 6 [21248/47500]	Loss: 0.6243	LR: 0.100000
Training Epoch: 6 [21504/47500]	Loss: 0.6443	LR: 0.100000
Training Epoch: 6 [21760/47500]	Loss: 0.5750	LR: 0.100000
Training Epoch: 6 [22016/47500]	Loss: 0.5601	LR: 0.100000
Training Epoch: 6 [22272/47500]	Loss: 0.5975	LR: 0.100000
Training Epoch: 6 [22528/47500]	Loss: 0.5987	LR: 0.100000
Training Epoch: 6 [22784/47500]	Loss: 0.5952	LR: 0.100000
Training Epoch: 6 [23040/47500]	Loss: 0.6143	LR: 0.100000
Training Epoch: 6 [23296/47500]	Loss: 0.6442	LR: 0.100000
Training Epoch: 6 [23552/47500]	Loss: 0.6363	LR: 0.100000
Training Epoch: 6 [23808/47500]	Loss: 0.5564	LR: 0.100000
Training Epoch: 6 [24064/47500]	Loss: 0.7478	LR: 0.100000
Training Epoch: 6 [24320/47500]	Loss: 0.6205	LR: 0.100000
Training Epoch: 6 [24576/47500]	Loss: 0.7598	LR: 0.100000
Training Epoch: 6 [24832/47500]	Loss: 0.5588	LR: 0.100000
Training Epoch: 6 [25088/47500]	Loss: 0.6006	LR: 0.100000
Training Epoch: 6 [25344/47500]	Loss: 0.5644	LR: 0.100000
Training Epoch: 6 [25600/47500]	Loss: 0.6452	LR: 0.100000
Training Epoch: 6 [25856/47500]	Loss: 0.7497	LR: 0.100000
Training Epoch: 6 [26112/47500]	Loss: 0.6907	LR: 0.100000
Training Epoch: 6 [26368/47500]	Loss: 0.6881	LR: 0.100000
Training Epoch: 6 [26624/47500]	Loss: 0.6539	LR: 0.100000
Training Epoch: 6 [26880/47500]	Loss: 0.6801	LR: 0.100000
Training Epoch: 6 [27136/47500]	Loss: 0.5970	LR: 0.100000
Training Epoch: 6 [27392/47500]	Loss: 0.5153	LR: 0.100000
Training Epoch: 6 [27648/47500]	Loss: 0.6411	LR: 0.100000
Training Epoch: 6 [27904/47500]	Loss: 0.6371	LR: 0.100000
Training Epoch: 6 [28160/47500]	Loss: 0.6970	LR: 0.100000
Training Epoch: 6 [28416/47500]	Loss: 0.5774	LR: 0.100000
Training Epoch: 6 [28672/47500]	Loss: 0.6352	LR: 0.100000
Training Epoch: 6 [28928/47500]	Loss: 0.5888	LR: 0.100000
Training Epoch: 6 [29184/47500]	Loss: 0.6876	LR: 0.100000
Training Epoch: 6 [29440/47500]	Loss: 0.6102	LR: 0.100000
Training Epoch: 6 [29696/47500]	Loss: 0.6157	LR: 0.100000
Training Epoch: 6 [29952/47500]	Loss: 0.5988	LR: 0.100000
Training Epoch: 6 [30208/47500]	Loss: 0.7084	LR: 0.100000
Training Epoch: 6 [30464/47500]	Loss: 0.6379	LR: 0.100000
Training Epoch: 6 [30720/47500]	Loss: 0.7581	LR: 0.100000
Training Epoch: 6 [30976/47500]	Loss: 0.5966	LR: 0.100000
Training Epoch: 6 [31232/47500]	Loss: 0.5754	LR: 0.100000
Training Epoch: 6 [31488/47500]	Loss: 0.6399	LR: 0.100000
Training Epoch: 6 [31744/47500]	Loss: 0.7820	LR: 0.100000
Training Epoch: 6 [32000/47500]	Loss: 0.6295	LR: 0.100000
Training Epoch: 6 [32256/47500]	Loss: 0.6067	LR: 0.100000
Training Epoch: 6 [32512/47500]	Loss: 0.5258	LR: 0.100000
Training Epoch: 6 [32768/47500]	Loss: 0.6221	LR: 0.100000
Training Epoch: 6 [33024/47500]	Loss: 0.6260	LR: 0.100000
Training Epoch: 6 [33280/47500]	Loss: 0.5848	LR: 0.100000
Training Epoch: 6 [33536/47500]	Loss: 0.6199	LR: 0.100000
Training Epoch: 6 [33792/47500]	Loss: 0.5851	LR: 0.100000
Training Epoch: 6 [34048/47500]	Loss: 0.5503	LR: 0.100000
Training Epoch: 6 [34304/47500]	Loss: 0.5874	LR: 0.100000
Training Epoch: 6 [34560/47500]	Loss: 0.7286	LR: 0.100000
Training Epoch: 6 [34816/47500]	Loss: 0.7475	LR: 0.100000
Training Epoch: 6 [35072/47500]	Loss: 0.7089	LR: 0.100000
Training Epoch: 6 [35328/47500]	Loss: 0.6877	LR: 0.100000
Training Epoch: 6 [35584/47500]	Loss: 0.6236	LR: 0.100000
Training Epoch: 6 [35840/47500]	Loss: 0.6714	LR: 0.100000
Training Epoch: 6 [36096/47500]	Loss: 0.6428	LR: 0.100000
Training Epoch: 6 [36352/47500]	Loss: 0.7174	LR: 0.100000
Training Epoch: 6 [36608/47500]	Loss: 0.6032	LR: 0.100000
Training Epoch: 6 [36864/47500]	Loss: 0.5447	LR: 0.100000
Training Epoch: 6 [37120/47500]	Loss: 0.6446	LR: 0.100000
Training Epoch: 6 [37376/47500]	Loss: 0.6905	LR: 0.100000
Training Epoch: 6 [37632/47500]	Loss: 0.6161	LR: 0.100000
Training Epoch: 6 [37888/47500]	Loss: 0.6883	LR: 0.100000
Training Epoch: 6 [38144/47500]	Loss: 0.6857	LR: 0.100000
Training Epoch: 6 [38400/47500]	Loss: 0.6601	LR: 0.100000
Training Epoch: 6 [38656/47500]	Loss: 0.5782	LR: 0.100000
Training Epoch: 6 [38912/47500]	Loss: 0.6442	LR: 0.100000
Training Epoch: 6 [39168/47500]	Loss: 0.7272	LR: 0.100000
Training Epoch: 6 [39424/47500]	Loss: 0.5567	LR: 0.100000
Training Epoch: 6 [39680/47500]	Loss: 0.7081	LR: 0.100000
Training Epoch: 6 [39936/47500]	Loss: 0.6119	LR: 0.100000
Training Epoch: 6 [40192/47500]	Loss: 0.6083	LR: 0.100000
Training Epoch: 6 [40448/47500]	Loss: 0.6036	LR: 0.100000
Training Epoch: 6 [40704/47500]	Loss: 0.7582	LR: 0.100000
Training Epoch: 6 [40960/47500]	Loss: 0.7188	LR: 0.100000
Training Epoch: 6 [41216/47500]	Loss: 0.6700	LR: 0.100000
Training Epoch: 6 [41472/47500]	Loss: 0.5605	LR: 0.100000
Training Epoch: 6 [41728/47500]	Loss: 0.6036	LR: 0.100000
Training Epoch: 6 [41984/47500]	Loss: 0.6716	LR: 0.100000
Training Epoch: 6 [42240/47500]	Loss: 0.6557	LR: 0.100000
Training Epoch: 6 [42496/47500]	Loss: 0.6106	LR: 0.100000
Training Epoch: 6 [42752/47500]	Loss: 0.5826	LR: 0.100000
Training Epoch: 6 [43008/47500]	Loss: 0.6201	LR: 0.100000
Training Epoch: 6 [43264/47500]	Loss: 0.6490	LR: 0.100000
Training Epoch: 6 [43520/47500]	Loss: 0.6451	LR: 0.100000
Training Epoch: 6 [43776/47500]	Loss: 0.6784	LR: 0.100000
Training Epoch: 6 [44032/47500]	Loss: 0.5850	LR: 0.100000
Training Epoch: 6 [44288/47500]	Loss: 0.5753	LR: 0.100000
Training Epoch: 6 [44544/47500]	Loss: 0.5810	LR: 0.100000
Training Epoch: 6 [44800/47500]	Loss: 0.6097	LR: 0.100000
Training Epoch: 6 [45056/47500]	Loss: 0.5919	LR: 0.100000
Training Epoch: 6 [45312/47500]	Loss: 0.6886	LR: 0.100000
Training Epoch: 6 [45568/47500]	Loss: 0.5499	LR: 0.100000
Training Epoch: 6 [45824/47500]	Loss: 0.6756	LR: 0.100000
Training Epoch: 6 [46080/47500]	Loss: 0.7333	LR: 0.100000
Training Epoch: 6 [46336/47500]	Loss: 0.6479	LR: 0.100000
Training Epoch: 6 [46592/47500]	Loss: 0.6250	LR: 0.100000
Training Epoch: 6 [46848/47500]	Loss: 0.6297	LR: 0.100000
Training Epoch: 6 [47104/47500]	Loss: 0.6275	LR: 0.100000
Training Epoch: 6 [47360/47500]	Loss: 0.6296	LR: 0.100000
Training Epoch: 6 [47500/47500]	Loss: 0.7031	LR: 0.100000
Epoch 6 - Average Train Loss: 0.6414, Train Accuracy: 0.7768
Epoch 6 training time consumed: 29.32s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0027, Accuracy: 0.7738, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_09h_43m_21s/ResNet18-Cifar10-seed2-ret50-6-best.pth
Training Epoch: 7 [256/47500]	Loss: 0.4559	LR: 0.100000
Training Epoch: 7 [512/47500]	Loss: 0.5562	LR: 0.100000
Training Epoch: 7 [768/47500]	Loss: 0.5413	LR: 0.100000
Training Epoch: 7 [1024/47500]	Loss: 0.6152	LR: 0.100000
Training Epoch: 7 [1280/47500]	Loss: 0.5140	LR: 0.100000
Training Epoch: 7 [1536/47500]	Loss: 0.6478	LR: 0.100000
Training Epoch: 7 [1792/47500]	Loss: 0.6595	LR: 0.100000
Training Epoch: 7 [2048/47500]	Loss: 0.5930	LR: 0.100000
Training Epoch: 7 [2304/47500]	Loss: 0.5741	LR: 0.100000
Training Epoch: 7 [2560/47500]	Loss: 0.5535	LR: 0.100000
Training Epoch: 7 [2816/47500]	Loss: 0.6643	LR: 0.100000
Training Epoch: 7 [3072/47500]	Loss: 0.5700	LR: 0.100000
Training Epoch: 7 [3328/47500]	Loss: 0.5702	LR: 0.100000
Training Epoch: 7 [3584/47500]	Loss: 0.5604	LR: 0.100000
Training Epoch: 7 [3840/47500]	Loss: 0.5505	LR: 0.100000
Training Epoch: 7 [4096/47500]	Loss: 0.6098	LR: 0.100000
Training Epoch: 7 [4352/47500]	Loss: 0.6203	LR: 0.100000
Training Epoch: 7 [4608/47500]	Loss: 0.7292	LR: 0.100000
Training Epoch: 7 [4864/47500]	Loss: 0.5066	LR: 0.100000
Training Epoch: 7 [5120/47500]	Loss: 0.6287	LR: 0.100000
Training Epoch: 7 [5376/47500]	Loss: 0.6870	LR: 0.100000
Training Epoch: 7 [5632/47500]	Loss: 0.5930	LR: 0.100000
Training Epoch: 7 [5888/47500]	Loss: 0.5846	LR: 0.100000
Training Epoch: 7 [6144/47500]	Loss: 0.5602	LR: 0.100000
Training Epoch: 7 [6400/47500]	Loss: 0.6122	LR: 0.100000
Training Epoch: 7 [6656/47500]	Loss: 0.6430	LR: 0.100000
Training Epoch: 7 [6912/47500]	Loss: 0.5668	LR: 0.100000
Training Epoch: 7 [7168/47500]	Loss: 0.5832	LR: 0.100000
Training Epoch: 7 [7424/47500]	Loss: 0.5097	LR: 0.100000
Training Epoch: 7 [7680/47500]	Loss: 0.7120	LR: 0.100000
Training Epoch: 7 [7936/47500]	Loss: 0.5209	LR: 0.100000
Training Epoch: 7 [8192/47500]	Loss: 0.5720	LR: 0.100000
Training Epoch: 7 [8448/47500]	Loss: 0.6086	LR: 0.100000
Training Epoch: 7 [8704/47500]	Loss: 0.5791	LR: 0.100000
Training Epoch: 7 [8960/47500]	Loss: 0.6959	LR: 0.100000
Training Epoch: 7 [9216/47500]	Loss: 0.7097	LR: 0.100000
Training Epoch: 7 [9472/47500]	Loss: 0.7015	LR: 0.100000
Training Epoch: 7 [9728/47500]	Loss: 0.5868	LR: 0.100000
Training Epoch: 7 [9984/47500]	Loss: 0.5508	LR: 0.100000
Training Epoch: 7 [10240/47500]	Loss: 0.4833	LR: 0.100000
Training Epoch: 7 [10496/47500]	Loss: 0.6399	LR: 0.100000
Training Epoch: 7 [10752/47500]	Loss: 0.7078	LR: 0.100000
Training Epoch: 7 [11008/47500]	Loss: 0.7313	LR: 0.100000
Training Epoch: 7 [11264/47500]	Loss: 0.5570	LR: 0.100000
Training Epoch: 7 [11520/47500]	Loss: 0.6057	LR: 0.100000
Training Epoch: 7 [11776/47500]	Loss: 0.5842	LR: 0.100000
Training Epoch: 7 [12032/47500]	Loss: 0.6139	LR: 0.100000
Training Epoch: 7 [12288/47500]	Loss: 0.5897	LR: 0.100000
Training Epoch: 7 [12544/47500]	Loss: 0.6227	LR: 0.100000
Training Epoch: 7 [12800/47500]	Loss: 0.5639	LR: 0.100000
Training Epoch: 7 [13056/47500]	Loss: 0.5295	LR: 0.100000
Training Epoch: 7 [13312/47500]	Loss: 0.6835	LR: 0.100000
Training Epoch: 7 [13568/47500]	Loss: 0.6119	LR: 0.100000
Training Epoch: 7 [13824/47500]	Loss: 0.5393	LR: 0.100000
Training Epoch: 7 [14080/47500]	Loss: 0.6962	LR: 0.100000
Training Epoch: 7 [14336/47500]	Loss: 0.6439	LR: 0.100000
Training Epoch: 7 [14592/47500]	Loss: 0.6169	LR: 0.100000
Training Epoch: 7 [14848/47500]	Loss: 0.5746	LR: 0.100000
Training Epoch: 7 [15104/47500]	Loss: 0.6061	LR: 0.100000
Training Epoch: 7 [15360/47500]	Loss: 0.5332	LR: 0.100000
Training Epoch: 7 [15616/47500]	Loss: 0.5833	LR: 0.100000
Training Epoch: 7 [15872/47500]	Loss: 0.6365	LR: 0.100000
Training Epoch: 7 [16128/47500]	Loss: 0.5368	LR: 0.100000
Training Epoch: 7 [16384/47500]	Loss: 0.6497	LR: 0.100000
Training Epoch: 7 [16640/47500]	Loss: 0.6952	LR: 0.100000
Training Epoch: 7 [16896/47500]	Loss: 0.6620	LR: 0.100000
Training Epoch: 7 [17152/47500]	Loss: 0.5792	LR: 0.100000
Training Epoch: 7 [17408/47500]	Loss: 0.6373	LR: 0.100000
Training Epoch: 7 [17664/47500]	Loss: 0.5544	LR: 0.100000
Training Epoch: 7 [17920/47500]	Loss: 0.6326	LR: 0.100000
Training Epoch: 7 [18176/47500]	Loss: 0.5876	LR: 0.100000
Training Epoch: 7 [18432/47500]	Loss: 0.5258	LR: 0.100000
Training Epoch: 7 [18688/47500]	Loss: 0.6447	LR: 0.100000
Training Epoch: 7 [18944/47500]	Loss: 0.6211	LR: 0.100000
Training Epoch: 7 [19200/47500]	Loss: 0.5988	LR: 0.100000
Training Epoch: 7 [19456/47500]	Loss: 0.6057	LR: 0.100000
Training Epoch: 7 [19712/47500]	Loss: 0.6850	LR: 0.100000
Training Epoch: 7 [19968/47500]	Loss: 0.5747	LR: 0.100000
Training Epoch: 7 [20224/47500]	Loss: 0.5903	LR: 0.100000
Training Epoch: 7 [20480/47500]	Loss: 0.7648	LR: 0.100000
Training Epoch: 7 [20736/47500]	Loss: 0.5439	LR: 0.100000
Training Epoch: 7 [20992/47500]	Loss: 0.7257	LR: 0.100000
Training Epoch: 7 [21248/47500]	Loss: 0.5599	LR: 0.100000
Training Epoch: 7 [21504/47500]	Loss: 0.6053	LR: 0.100000
Training Epoch: 7 [21760/47500]	Loss: 0.6966	LR: 0.100000
Training Epoch: 7 [22016/47500]	Loss: 0.5733	LR: 0.100000
Training Epoch: 7 [22272/47500]	Loss: 0.7514	LR: 0.100000
Training Epoch: 7 [22528/47500]	Loss: 0.6028	LR: 0.100000
Training Epoch: 7 [22784/47500]	Loss: 0.6415	LR: 0.100000
Training Epoch: 7 [23040/47500]	Loss: 0.5907	LR: 0.100000
Training Epoch: 7 [23296/47500]	Loss: 0.5403	LR: 0.100000
Training Epoch: 7 [23552/47500]	Loss: 0.6019	LR: 0.100000
Training Epoch: 7 [23808/47500]	Loss: 0.5045	LR: 0.100000
Training Epoch: 7 [24064/47500]	Loss: 0.5885	LR: 0.100000
Training Epoch: 7 [24320/47500]	Loss: 0.6865	LR: 0.100000
Training Epoch: 7 [24576/47500]	Loss: 0.5370	LR: 0.100000
Training Epoch: 7 [24832/47500]	Loss: 0.6121	LR: 0.100000
Training Epoch: 7 [25088/47500]	Loss: 0.5890	LR: 0.100000
Training Epoch: 7 [25344/47500]	Loss: 0.6097	LR: 0.100000
Training Epoch: 7 [25600/47500]	Loss: 0.6063	LR: 0.100000
Training Epoch: 7 [25856/47500]	Loss: 0.7169	LR: 0.100000
Training Epoch: 7 [26112/47500]	Loss: 0.5134	LR: 0.100000
Training Epoch: 7 [26368/47500]	Loss: 0.5175	LR: 0.100000
Training Epoch: 7 [26624/47500]	Loss: 0.5614	LR: 0.100000
Training Epoch: 7 [26880/47500]	Loss: 0.4371	LR: 0.100000
Training Epoch: 7 [27136/47500]	Loss: 0.5206	LR: 0.100000
Training Epoch: 7 [27392/47500]	Loss: 0.6663	LR: 0.100000
Training Epoch: 7 [27648/47500]	Loss: 0.5476	LR: 0.100000
Training Epoch: 7 [27904/47500]	Loss: 0.5608	LR: 0.100000
Training Epoch: 7 [28160/47500]	Loss: 0.6010	LR: 0.100000
Training Epoch: 7 [28416/47500]	Loss: 0.5938	LR: 0.100000
Training Epoch: 7 [28672/47500]	Loss: 0.5779	LR: 0.100000
Training Epoch: 7 [28928/47500]	Loss: 0.5325	LR: 0.100000
Training Epoch: 7 [29184/47500]	Loss: 0.5905	LR: 0.100000
Training Epoch: 7 [29440/47500]	Loss: 0.7285	LR: 0.100000
Training Epoch: 7 [29696/47500]	Loss: 0.8187	LR: 0.100000
Training Epoch: 7 [29952/47500]	Loss: 0.6531	LR: 0.100000
Training Epoch: 7 [30208/47500]	Loss: 0.6207	LR: 0.100000
Training Epoch: 7 [30464/47500]	Loss: 0.5231	LR: 0.100000
Training Epoch: 7 [30720/47500]	Loss: 0.6348	LR: 0.100000
Training Epoch: 7 [30976/47500]	Loss: 0.5301	LR: 0.100000
Training Epoch: 7 [31232/47500]	Loss: 0.6928	LR: 0.100000
Training Epoch: 7 [31488/47500]	Loss: 0.5371	LR: 0.100000
Training Epoch: 7 [31744/47500]	Loss: 0.6137	LR: 0.100000
Training Epoch: 7 [32000/47500]	Loss: 0.6416	LR: 0.100000
Training Epoch: 7 [32256/47500]	Loss: 0.5890	LR: 0.100000
Training Epoch: 7 [32512/47500]	Loss: 0.6227	LR: 0.100000
Training Epoch: 7 [32768/47500]	Loss: 0.5223	LR: 0.100000
Training Epoch: 7 [33024/47500]	Loss: 0.6189	LR: 0.100000
Training Epoch: 7 [33280/47500]	Loss: 0.6361	LR: 0.100000
Training Epoch: 7 [33536/47500]	Loss: 0.5258	LR: 0.100000
Training Epoch: 7 [33792/47500]	Loss: 0.6202	LR: 0.100000
Training Epoch: 7 [34048/47500]	Loss: 0.6174	LR: 0.100000
Training Epoch: 7 [34304/47500]	Loss: 0.6470	LR: 0.100000
Training Epoch: 7 [34560/47500]	Loss: 0.6106	LR: 0.100000
Training Epoch: 7 [34816/47500]	Loss: 0.6000	LR: 0.100000
Training Epoch: 7 [35072/47500]	Loss: 0.5453	LR: 0.100000
Training Epoch: 7 [35328/47500]	Loss: 0.7172	LR: 0.100000
Training Epoch: 7 [35584/47500]	Loss: 0.5621	LR: 0.100000
Training Epoch: 7 [35840/47500]	Loss: 0.6594	LR: 0.100000
Training Epoch: 7 [36096/47500]	Loss: 0.5923	LR: 0.100000
Training Epoch: 7 [36352/47500]	Loss: 0.5739	LR: 0.100000
Training Epoch: 7 [36608/47500]	Loss: 0.6182	LR: 0.100000
Training Epoch: 7 [36864/47500]	Loss: 0.6978	LR: 0.100000
Training Epoch: 7 [37120/47500]	Loss: 0.5802	LR: 0.100000
Training Epoch: 7 [37376/47500]	Loss: 0.7654	LR: 0.100000
Training Epoch: 7 [37632/47500]	Loss: 0.6318	LR: 0.100000
Training Epoch: 7 [37888/47500]	Loss: 0.5998	LR: 0.100000
Training Epoch: 7 [38144/47500]	Loss: 0.6204	LR: 0.100000
Training Epoch: 7 [38400/47500]	Loss: 0.5587	LR: 0.100000
Training Epoch: 7 [38656/47500]	Loss: 0.6276	LR: 0.100000
Training Epoch: 7 [38912/47500]	Loss: 0.5186	LR: 0.100000
Training Epoch: 7 [39168/47500]	Loss: 0.6154	LR: 0.100000
Training Epoch: 7 [39424/47500]	Loss: 0.4484	LR: 0.100000
Training Epoch: 7 [39680/47500]	Loss: 0.5039	LR: 0.100000
Training Epoch: 7 [39936/47500]	Loss: 0.5115	LR: 0.100000
Training Epoch: 7 [40192/47500]	Loss: 0.6157	LR: 0.100000
Training Epoch: 7 [40448/47500]	Loss: 0.6047	LR: 0.100000
Training Epoch: 7 [40704/47500]	Loss: 0.6213	LR: 0.100000
Training Epoch: 7 [40960/47500]	Loss: 0.6040	LR: 0.100000
Training Epoch: 7 [41216/47500]	Loss: 0.6385	LR: 0.100000
Training Epoch: 7 [41472/47500]	Loss: 0.5201	LR: 0.100000
Training Epoch: 7 [41728/47500]	Loss: 0.5171	LR: 0.100000
Training Epoch: 7 [41984/47500]	Loss: 0.6121	LR: 0.100000
Training Epoch: 7 [42240/47500]	Loss: 0.5344	LR: 0.100000
Training Epoch: 7 [42496/47500]	Loss: 0.5020	LR: 0.100000
Training Epoch: 7 [42752/47500]	Loss: 0.5056	LR: 0.100000
Training Epoch: 7 [43008/47500]	Loss: 0.6263	LR: 0.100000
Training Epoch: 7 [43264/47500]	Loss: 0.4814	LR: 0.100000
Training Epoch: 7 [43520/47500]	Loss: 0.5956	LR: 0.100000
Training Epoch: 7 [43776/47500]	Loss: 0.5280	LR: 0.100000
Training Epoch: 7 [44032/47500]	Loss: 0.6017	LR: 0.100000
Training Epoch: 7 [44288/47500]	Loss: 0.6273	LR: 0.100000
Training Epoch: 7 [44544/47500]	Loss: 0.5314	LR: 0.100000
Training Epoch: 7 [44800/47500]	Loss: 0.5406	LR: 0.100000
Training Epoch: 7 [45056/47500]	Loss: 0.4763	LR: 0.100000
Training Epoch: 7 [45312/47500]	Loss: 0.5680	LR: 0.100000
Training Epoch: 7 [45568/47500]	Loss: 0.5885	LR: 0.100000
Training Epoch: 7 [45824/47500]	Loss: 0.6901	LR: 0.100000
Training Epoch: 7 [46080/47500]	Loss: 0.5348	LR: 0.100000
Training Epoch: 7 [46336/47500]	Loss: 0.6161	LR: 0.100000
Training Epoch: 7 [46592/47500]	Loss: 0.5842	LR: 0.100000
Training Epoch: 7 [46848/47500]	Loss: 0.5553	LR: 0.100000
Training Epoch: 7 [47104/47500]	Loss: 0.6046	LR: 0.100000
Training Epoch: 7 [47360/47500]	Loss: 0.5928	LR: 0.100000
Training Epoch: 7 [47500/47500]	Loss: 0.5527	LR: 0.100000
Epoch 7 - Average Train Loss: 0.5981, Train Accuracy: 0.7911
Epoch 7 training time consumed: 29.33s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0027, Accuracy: 0.7738, Time consumed:0.90s
Training Epoch: 8 [256/47500]	Loss: 0.5052	LR: 0.020000
Training Epoch: 8 [512/47500]	Loss: 0.5041	LR: 0.020000
Training Epoch: 8 [768/47500]	Loss: 0.6143	LR: 0.020000
Training Epoch: 8 [1024/47500]	Loss: 0.5160	LR: 0.020000
Training Epoch: 8 [1280/47500]	Loss: 0.5269	LR: 0.020000
Training Epoch: 8 [1536/47500]	Loss: 0.4574	LR: 0.020000
Training Epoch: 8 [1792/47500]	Loss: 0.5515	LR: 0.020000
Training Epoch: 8 [2048/47500]	Loss: 0.5477	LR: 0.020000
Training Epoch: 8 [2304/47500]	Loss: 0.5049	LR: 0.020000
Training Epoch: 8 [2560/47500]	Loss: 0.4173	LR: 0.020000
Training Epoch: 8 [2816/47500]	Loss: 0.4716	LR: 0.020000
Training Epoch: 8 [3072/47500]	Loss: 0.5021	LR: 0.020000
Training Epoch: 8 [3328/47500]	Loss: 0.4093	LR: 0.020000
Training Epoch: 8 [3584/47500]	Loss: 0.5309	LR: 0.020000
Training Epoch: 8 [3840/47500]	Loss: 0.4448	LR: 0.020000
Training Epoch: 8 [4096/47500]	Loss: 0.6668	LR: 0.020000
Training Epoch: 8 [4352/47500]	Loss: 0.4599	LR: 0.020000
Training Epoch: 8 [4608/47500]	Loss: 0.5301	LR: 0.020000
Training Epoch: 8 [4864/47500]	Loss: 0.4593	LR: 0.020000
Training Epoch: 8 [5120/47500]	Loss: 0.5410	LR: 0.020000
Training Epoch: 8 [5376/47500]	Loss: 0.5234	LR: 0.020000
Training Epoch: 8 [5632/47500]	Loss: 0.5663	LR: 0.020000
Training Epoch: 8 [5888/47500]	Loss: 0.4928	LR: 0.020000
Training Epoch: 8 [6144/47500]	Loss: 0.4578	LR: 0.020000
Training Epoch: 8 [6400/47500]	Loss: 0.5566	LR: 0.020000
Training Epoch: 8 [6656/47500]	Loss: 0.4260	LR: 0.020000
Training Epoch: 8 [6912/47500]	Loss: 0.4772	LR: 0.020000
Training Epoch: 8 [7168/47500]	Loss: 0.4957	LR: 0.020000
Training Epoch: 8 [7424/47500]	Loss: 0.3731	LR: 0.020000
Training Epoch: 8 [7680/47500]	Loss: 0.4161	LR: 0.020000
Training Epoch: 8 [7936/47500]	Loss: 0.5134	LR: 0.020000
Training Epoch: 8 [8192/47500]	Loss: 0.4980	LR: 0.020000
Training Epoch: 8 [8448/47500]	Loss: 0.5075	LR: 0.020000
Training Epoch: 8 [8704/47500]	Loss: 0.5226	LR: 0.020000
Training Epoch: 8 [8960/47500]	Loss: 0.4811	LR: 0.020000
Training Epoch: 8 [9216/47500]	Loss: 0.4214	LR: 0.020000
Training Epoch: 8 [9472/47500]	Loss: 0.4561	LR: 0.020000
Training Epoch: 8 [9728/47500]	Loss: 0.3405	LR: 0.020000
Training Epoch: 8 [9984/47500]	Loss: 0.4573	LR: 0.020000
Training Epoch: 8 [10240/47500]	Loss: 0.5093	LR: 0.020000
Training Epoch: 8 [10496/47500]	Loss: 0.4225	LR: 0.020000
Training Epoch: 8 [10752/47500]	Loss: 0.4372	LR: 0.020000
Training Epoch: 8 [11008/47500]	Loss: 0.4600	LR: 0.020000
Training Epoch: 8 [11264/47500]	Loss: 0.4190	LR: 0.020000
Training Epoch: 8 [11520/47500]	Loss: 0.5573	LR: 0.020000
Training Epoch: 8 [11776/47500]	Loss: 0.5005	LR: 0.020000
Training Epoch: 8 [12032/47500]	Loss: 0.4173	LR: 0.020000
Training Epoch: 8 [12288/47500]	Loss: 0.5204	LR: 0.020000
Training Epoch: 8 [12544/47500]	Loss: 0.4889	LR: 0.020000
Training Epoch: 8 [12800/47500]	Loss: 0.5247	LR: 0.020000
Training Epoch: 8 [13056/47500]	Loss: 0.4841	LR: 0.020000
Training Epoch: 8 [13312/47500]	Loss: 0.4398	LR: 0.020000
Training Epoch: 8 [13568/47500]	Loss: 0.4427	LR: 0.020000
Training Epoch: 8 [13824/47500]	Loss: 0.4826	LR: 0.020000
Training Epoch: 8 [14080/47500]	Loss: 0.4717	LR: 0.020000
Training Epoch: 8 [14336/47500]	Loss: 0.5525	LR: 0.020000
Training Epoch: 8 [14592/47500]	Loss: 0.6024	LR: 0.020000
Training Epoch: 8 [14848/47500]	Loss: 0.4572	LR: 0.020000
Training Epoch: 8 [15104/47500]	Loss: 0.4409	LR: 0.020000
Training Epoch: 8 [15360/47500]	Loss: 0.4340	LR: 0.020000
Training Epoch: 8 [15616/47500]	Loss: 0.4737	LR: 0.020000
Training Epoch: 8 [15872/47500]	Loss: 0.4221	LR: 0.020000
Training Epoch: 8 [16128/47500]	Loss: 0.5195	LR: 0.020000
Training Epoch: 8 [16384/47500]	Loss: 0.4358	LR: 0.020000
Training Epoch: 8 [16640/47500]	Loss: 0.4614	LR: 0.020000
Training Epoch: 8 [16896/47500]	Loss: 0.4960	LR: 0.020000
Training Epoch: 8 [17152/47500]	Loss: 0.4204	LR: 0.020000
Training Epoch: 8 [17408/47500]	Loss: 0.4994	LR: 0.020000
Training Epoch: 8 [17664/47500]	Loss: 0.5550	LR: 0.020000
Training Epoch: 8 [17920/47500]	Loss: 0.5077	LR: 0.020000
Training Epoch: 8 [18176/47500]	Loss: 0.3284	LR: 0.020000
Training Epoch: 8 [18432/47500]	Loss: 0.5643	LR: 0.020000
Training Epoch: 8 [18688/47500]	Loss: 0.3509	LR: 0.020000
Training Epoch: 8 [18944/47500]	Loss: 0.3314	LR: 0.020000
Training Epoch: 8 [19200/47500]	Loss: 0.4833	LR: 0.020000
Training Epoch: 8 [19456/47500]	Loss: 0.4287	LR: 0.020000
Training Epoch: 8 [19712/47500]	Loss: 0.4298	LR: 0.020000
Training Epoch: 8 [19968/47500]	Loss: 0.4983	LR: 0.020000
Training Epoch: 8 [20224/47500]	Loss: 0.3803	LR: 0.020000
Training Epoch: 8 [20480/47500]	Loss: 0.4543	LR: 0.020000
Training Epoch: 8 [20736/47500]	Loss: 0.4025	LR: 0.020000
Training Epoch: 8 [20992/47500]	Loss: 0.4322	LR: 0.020000
Training Epoch: 8 [21248/47500]	Loss: 0.4131	LR: 0.020000
Training Epoch: 8 [21504/47500]	Loss: 0.5064	LR: 0.020000
Training Epoch: 8 [21760/47500]	Loss: 0.4462	LR: 0.020000
Training Epoch: 8 [22016/47500]	Loss: 0.4354	LR: 0.020000
Training Epoch: 8 [22272/47500]	Loss: 0.4579	LR: 0.020000
Training Epoch: 8 [22528/47500]	Loss: 0.4253	LR: 0.020000
Training Epoch: 8 [22784/47500]	Loss: 0.4476	LR: 0.020000
Training Epoch: 8 [23040/47500]	Loss: 0.4663	LR: 0.020000
Training Epoch: 8 [23296/47500]	Loss: 0.4255	LR: 0.020000
Training Epoch: 8 [23552/47500]	Loss: 0.5118	LR: 0.020000
Training Epoch: 8 [23808/47500]	Loss: 0.4296	LR: 0.020000
Training Epoch: 8 [24064/47500]	Loss: 0.3938	LR: 0.020000
Training Epoch: 8 [24320/47500]	Loss: 0.3888	LR: 0.020000
Training Epoch: 8 [24576/47500]	Loss: 0.4060	LR: 0.020000
Training Epoch: 8 [24832/47500]	Loss: 0.4506	LR: 0.020000
Training Epoch: 8 [25088/47500]	Loss: 0.4485	LR: 0.020000
Training Epoch: 8 [25344/47500]	Loss: 0.4094	LR: 0.020000
Training Epoch: 8 [25600/47500]	Loss: 0.4790	LR: 0.020000
Training Epoch: 8 [25856/47500]	Loss: 0.3598	LR: 0.020000
Training Epoch: 8 [26112/47500]	Loss: 0.5930	LR: 0.020000
Training Epoch: 8 [26368/47500]	Loss: 0.4502	LR: 0.020000
Training Epoch: 8 [26624/47500]	Loss: 0.3678	LR: 0.020000
Training Epoch: 8 [26880/47500]	Loss: 0.3217	LR: 0.020000
Training Epoch: 8 [27136/47500]	Loss: 0.4065	LR: 0.020000
Training Epoch: 8 [27392/47500]	Loss: 0.4811	LR: 0.020000
Training Epoch: 8 [27648/47500]	Loss: 0.4335	LR: 0.020000
Training Epoch: 8 [27904/47500]	Loss: 0.3842	LR: 0.020000
Training Epoch: 8 [28160/47500]	Loss: 0.4717	LR: 0.020000
Training Epoch: 8 [28416/47500]	Loss: 0.3868	LR: 0.020000
Training Epoch: 8 [28672/47500]	Loss: 0.3595	LR: 0.020000
Training Epoch: 8 [28928/47500]	Loss: 0.4820	LR: 0.020000
Training Epoch: 8 [29184/47500]	Loss: 0.4183	LR: 0.020000
Training Epoch: 8 [29440/47500]	Loss: 0.3722	LR: 0.020000
Training Epoch: 8 [29696/47500]	Loss: 0.4614	LR: 0.020000
Training Epoch: 8 [29952/47500]	Loss: 0.4001	LR: 0.020000
Training Epoch: 8 [30208/47500]	Loss: 0.3461	LR: 0.020000
Training Epoch: 8 [30464/47500]	Loss: 0.3866	LR: 0.020000
Training Epoch: 8 [30720/47500]	Loss: 0.3926	LR: 0.020000
Training Epoch: 8 [30976/47500]	Loss: 0.4902	LR: 0.020000
Training Epoch: 8 [31232/47500]	Loss: 0.4201	LR: 0.020000
Training Epoch: 8 [31488/47500]	Loss: 0.5086	LR: 0.020000
Training Epoch: 8 [31744/47500]	Loss: 0.4993	LR: 0.020000
Training Epoch: 8 [32000/47500]	Loss: 0.4346	LR: 0.020000
Training Epoch: 8 [32256/47500]	Loss: 0.3973	LR: 0.020000
Training Epoch: 8 [32512/47500]	Loss: 0.4188	LR: 0.020000
Training Epoch: 8 [32768/47500]	Loss: 0.4215	LR: 0.020000
Training Epoch: 8 [33024/47500]	Loss: 0.4403	LR: 0.020000
Training Epoch: 8 [33280/47500]	Loss: 0.4246	LR: 0.020000
Training Epoch: 8 [33536/47500]	Loss: 0.5113	LR: 0.020000
Training Epoch: 8 [33792/47500]	Loss: 0.5051	LR: 0.020000
Training Epoch: 8 [34048/47500]	Loss: 0.4615	LR: 0.020000
Training Epoch: 8 [34304/47500]	Loss: 0.3629	LR: 0.020000
Training Epoch: 8 [34560/47500]	Loss: 0.3955	LR: 0.020000
Training Epoch: 8 [34816/47500]	Loss: 0.4780	LR: 0.020000
Training Epoch: 8 [35072/47500]	Loss: 0.3745	LR: 0.020000
Training Epoch: 8 [35328/47500]	Loss: 0.3944	LR: 0.020000
Training Epoch: 8 [35584/47500]	Loss: 0.4276	LR: 0.020000
Training Epoch: 8 [35840/47500]	Loss: 0.4263	LR: 0.020000
Training Epoch: 8 [36096/47500]	Loss: 0.4751	LR: 0.020000
Training Epoch: 8 [36352/47500]	Loss: 0.5137	LR: 0.020000
Training Epoch: 8 [36608/47500]	Loss: 0.4289	LR: 0.020000
Training Epoch: 8 [36864/47500]	Loss: 0.4414	LR: 0.020000
Training Epoch: 8 [37120/47500]	Loss: 0.3925	LR: 0.020000
Training Epoch: 8 [37376/47500]	Loss: 0.4272	LR: 0.020000
Training Epoch: 8 [37632/47500]	Loss: 0.4643	LR: 0.020000
Training Epoch: 8 [37888/47500]	Loss: 0.4281	LR: 0.020000
Training Epoch: 8 [38144/47500]	Loss: 0.4237	LR: 0.020000
Training Epoch: 8 [38400/47500]	Loss: 0.3408	LR: 0.020000
Training Epoch: 8 [38656/47500]	Loss: 0.3264	LR: 0.020000
Training Epoch: 8 [38912/47500]	Loss: 0.3654	LR: 0.020000
Training Epoch: 8 [39168/47500]	Loss: 0.4160	LR: 0.020000
Training Epoch: 8 [39424/47500]	Loss: 0.4121	LR: 0.020000
Training Epoch: 8 [39680/47500]	Loss: 0.5255	LR: 0.020000
Training Epoch: 8 [39936/47500]	Loss: 0.3715	LR: 0.020000
Training Epoch: 8 [40192/47500]	Loss: 0.4794	LR: 0.020000
Training Epoch: 8 [40448/47500]	Loss: 0.3552	LR: 0.020000
Training Epoch: 8 [40704/47500]	Loss: 0.4116	LR: 0.020000
Training Epoch: 8 [40960/47500]	Loss: 0.3130	LR: 0.020000
Training Epoch: 8 [41216/47500]	Loss: 0.4814	LR: 0.020000
Training Epoch: 8 [41472/47500]	Loss: 0.4382	LR: 0.020000
Training Epoch: 8 [41728/47500]	Loss: 0.4221	LR: 0.020000
Training Epoch: 8 [41984/47500]	Loss: 0.3832	LR: 0.020000
Training Epoch: 8 [42240/47500]	Loss: 0.3851	LR: 0.020000
Training Epoch: 8 [42496/47500]	Loss: 0.5250	LR: 0.020000
Training Epoch: 8 [42752/47500]	Loss: 0.3658	LR: 0.020000
Training Epoch: 8 [43008/47500]	Loss: 0.5109	LR: 0.020000
Training Epoch: 8 [43264/47500]	Loss: 0.4343	LR: 0.020000
Training Epoch: 8 [43520/47500]	Loss: 0.4251	LR: 0.020000
Training Epoch: 8 [43776/47500]	Loss: 0.3887	LR: 0.020000
Training Epoch: 8 [44032/47500]	Loss: 0.3108	LR: 0.020000
Training Epoch: 8 [44288/47500]	Loss: 0.3752	LR: 0.020000
Training Epoch: 8 [44544/47500]	Loss: 0.3826	LR: 0.020000
Training Epoch: 8 [44800/47500]	Loss: 0.4501	LR: 0.020000
Training Epoch: 8 [45056/47500]	Loss: 0.3876	LR: 0.020000
Training Epoch: 8 [45312/47500]	Loss: 0.4205	LR: 0.020000
Training Epoch: 8 [45568/47500]	Loss: 0.4094	LR: 0.020000
Training Epoch: 8 [45824/47500]	Loss: 0.4663	LR: 0.020000
Training Epoch: 8 [46080/47500]	Loss: 0.4294	LR: 0.020000
Training Epoch: 8 [46336/47500]	Loss: 0.4758	LR: 0.020000
Training Epoch: 8 [46592/47500]	Loss: 0.4093	LR: 0.020000
Training Epoch: 8 [46848/47500]	Loss: 0.3462	LR: 0.020000
Training Epoch: 8 [47104/47500]	Loss: 0.4819	LR: 0.020000
Training Epoch: 8 [47360/47500]	Loss: 0.4577	LR: 0.020000
Training Epoch: 8 [47500/47500]	Loss: 0.2709	LR: 0.020000
Epoch 8 - Average Train Loss: 0.4480, Train Accuracy: 0.8440
Epoch 8 training time consumed: 29.47s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0016, Accuracy: 0.8585, Time consumed:1.03s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_09h_43m_21s/ResNet18-Cifar10-seed2-ret50-8-best.pth
Training Epoch: 9 [256/47500]	Loss: 0.4341	LR: 0.020000
Training Epoch: 9 [512/47500]	Loss: 0.4382	LR: 0.020000
Training Epoch: 9 [768/47500]	Loss: 0.4044	LR: 0.020000
Training Epoch: 9 [1024/47500]	Loss: 0.4153	LR: 0.020000
Training Epoch: 9 [1280/47500]	Loss: 0.4413	LR: 0.020000
Training Epoch: 9 [1536/47500]	Loss: 0.4117	LR: 0.020000
Training Epoch: 9 [1792/47500]	Loss: 0.4359	LR: 0.020000
Training Epoch: 9 [2048/47500]	Loss: 0.4127	LR: 0.020000
Training Epoch: 9 [2304/47500]	Loss: 0.4747	LR: 0.020000
Training Epoch: 9 [2560/47500]	Loss: 0.3649	LR: 0.020000
Training Epoch: 9 [2816/47500]	Loss: 0.4480	LR: 0.020000
Training Epoch: 9 [3072/47500]	Loss: 0.4474	LR: 0.020000
Training Epoch: 9 [3328/47500]	Loss: 0.4505	LR: 0.020000
Training Epoch: 9 [3584/47500]	Loss: 0.4092	LR: 0.020000
Training Epoch: 9 [3840/47500]	Loss: 0.4240	LR: 0.020000
Training Epoch: 9 [4096/47500]	Loss: 0.3893	LR: 0.020000
Training Epoch: 9 [4352/47500]	Loss: 0.3292	LR: 0.020000
Training Epoch: 9 [4608/47500]	Loss: 0.3977	LR: 0.020000
Training Epoch: 9 [4864/47500]	Loss: 0.3424	LR: 0.020000
Training Epoch: 9 [5120/47500]	Loss: 0.3552	LR: 0.020000
Training Epoch: 9 [5376/47500]	Loss: 0.3270	LR: 0.020000
Training Epoch: 9 [5632/47500]	Loss: 0.4241	LR: 0.020000
Training Epoch: 9 [5888/47500]	Loss: 0.3318	LR: 0.020000
Training Epoch: 9 [6144/47500]	Loss: 0.4257	LR: 0.020000
Training Epoch: 9 [6400/47500]	Loss: 0.3499	LR: 0.020000
Training Epoch: 9 [6656/47500]	Loss: 0.3969	LR: 0.020000
Training Epoch: 9 [6912/47500]	Loss: 0.3949	LR: 0.020000
Training Epoch: 9 [7168/47500]	Loss: 0.3678	LR: 0.020000
Training Epoch: 9 [7424/47500]	Loss: 0.4373	LR: 0.020000
Training Epoch: 9 [7680/47500]	Loss: 0.3370	LR: 0.020000
Training Epoch: 9 [7936/47500]	Loss: 0.3437	LR: 0.020000
Training Epoch: 9 [8192/47500]	Loss: 0.4241	LR: 0.020000
Training Epoch: 9 [8448/47500]	Loss: 0.4245	LR: 0.020000
Training Epoch: 9 [8704/47500]	Loss: 0.4392	LR: 0.020000
Training Epoch: 9 [8960/47500]	Loss: 0.4748	LR: 0.020000
Training Epoch: 9 [9216/47500]	Loss: 0.4091	LR: 0.020000
Training Epoch: 9 [9472/47500]	Loss: 0.4342	LR: 0.020000
Training Epoch: 9 [9728/47500]	Loss: 0.3838	LR: 0.020000
Training Epoch: 9 [9984/47500]	Loss: 0.3500	LR: 0.020000
Training Epoch: 9 [10240/47500]	Loss: 0.4033	LR: 0.020000
Training Epoch: 9 [10496/47500]	Loss: 0.4825	LR: 0.020000
Training Epoch: 9 [10752/47500]	Loss: 0.3679	LR: 0.020000
Training Epoch: 9 [11008/47500]	Loss: 0.4141	LR: 0.020000
Training Epoch: 9 [11264/47500]	Loss: 0.4063	LR: 0.020000
Training Epoch: 9 [11520/47500]	Loss: 0.4948	LR: 0.020000
Training Epoch: 9 [11776/47500]	Loss: 0.3751	LR: 0.020000
Training Epoch: 9 [12032/47500]	Loss: 0.4106	LR: 0.020000
Training Epoch: 9 [12288/47500]	Loss: 0.4236	LR: 0.020000
Training Epoch: 9 [12544/47500]	Loss: 0.4413	LR: 0.020000
Training Epoch: 9 [12800/47500]	Loss: 0.3061	LR: 0.020000
Training Epoch: 9 [13056/47500]	Loss: 0.4307	LR: 0.020000
Training Epoch: 9 [13312/47500]	Loss: 0.3739	LR: 0.020000
Training Epoch: 9 [13568/47500]	Loss: 0.3025	LR: 0.020000
Training Epoch: 9 [13824/47500]	Loss: 0.3800	LR: 0.020000
Training Epoch: 9 [14080/47500]	Loss: 0.3542	LR: 0.020000
Training Epoch: 9 [14336/47500]	Loss: 0.4367	LR: 0.020000
Training Epoch: 9 [14592/47500]	Loss: 0.3538	LR: 0.020000
Training Epoch: 9 [14848/47500]	Loss: 0.4095	LR: 0.020000
Training Epoch: 9 [15104/47500]	Loss: 0.3555	LR: 0.020000
Training Epoch: 9 [15360/47500]	Loss: 0.3895	LR: 0.020000
Training Epoch: 9 [15616/47500]	Loss: 0.4083	LR: 0.020000
Training Epoch: 9 [15872/47500]	Loss: 0.4622	LR: 0.020000
Training Epoch: 9 [16128/47500]	Loss: 0.4790	LR: 0.020000
Training Epoch: 9 [16384/47500]	Loss: 0.4110	LR: 0.020000
Training Epoch: 9 [16640/47500]	Loss: 0.3631	LR: 0.020000
Training Epoch: 9 [16896/47500]	Loss: 0.4317	LR: 0.020000
Training Epoch: 9 [17152/47500]	Loss: 0.3998	LR: 0.020000
Training Epoch: 9 [17408/47500]	Loss: 0.4352	LR: 0.020000
Training Epoch: 9 [17664/47500]	Loss: 0.3495	LR: 0.020000
Training Epoch: 9 [17920/47500]	Loss: 0.4681	LR: 0.020000
Training Epoch: 9 [18176/47500]	Loss: 0.4035	LR: 0.020000
Training Epoch: 9 [18432/47500]	Loss: 0.4111	LR: 0.020000
Training Epoch: 9 [18688/47500]	Loss: 0.4534	LR: 0.020000
Training Epoch: 9 [18944/47500]	Loss: 0.3899	LR: 0.020000
Training Epoch: 9 [19200/47500]	Loss: 0.3947	LR: 0.020000
Training Epoch: 9 [19456/47500]	Loss: 0.4414	LR: 0.020000
Training Epoch: 9 [19712/47500]	Loss: 0.3845	LR: 0.020000
Training Epoch: 9 [19968/47500]	Loss: 0.4163	LR: 0.020000
Training Epoch: 9 [20224/47500]	Loss: 0.4119	LR: 0.020000
Training Epoch: 9 [20480/47500]	Loss: 0.4008	LR: 0.020000
Training Epoch: 9 [20736/47500]	Loss: 0.3953	LR: 0.020000
Training Epoch: 9 [20992/47500]	Loss: 0.3807	LR: 0.020000
Training Epoch: 9 [21248/47500]	Loss: 0.4409	LR: 0.020000
Training Epoch: 9 [21504/47500]	Loss: 0.3327	LR: 0.020000
Training Epoch: 9 [21760/47500]	Loss: 0.3223	LR: 0.020000
Training Epoch: 9 [22016/47500]	Loss: 0.4527	LR: 0.020000
Training Epoch: 9 [22272/47500]	Loss: 0.4245	LR: 0.020000
Training Epoch: 9 [22528/47500]	Loss: 0.3474	LR: 0.020000
Training Epoch: 9 [22784/47500]	Loss: 0.4390	LR: 0.020000
Training Epoch: 9 [23040/47500]	Loss: 0.4325	LR: 0.020000
Training Epoch: 9 [23296/47500]	Loss: 0.3219	LR: 0.020000
Training Epoch: 9 [23552/47500]	Loss: 0.4441	LR: 0.020000
Training Epoch: 9 [23808/47500]	Loss: 0.3794	LR: 0.020000
Training Epoch: 9 [24064/47500]	Loss: 0.4468	LR: 0.020000
Training Epoch: 9 [24320/47500]	Loss: 0.3722	LR: 0.020000
Training Epoch: 9 [24576/47500]	Loss: 0.4140	LR: 0.020000
Training Epoch: 9 [24832/47500]	Loss: 0.4487	LR: 0.020000
Training Epoch: 9 [25088/47500]	Loss: 0.4176	LR: 0.020000
Training Epoch: 9 [25344/47500]	Loss: 0.3821	LR: 0.020000
Training Epoch: 9 [25600/47500]	Loss: 0.4078	LR: 0.020000
Training Epoch: 9 [25856/47500]	Loss: 0.3630	LR: 0.020000
Training Epoch: 9 [26112/47500]	Loss: 0.4070	LR: 0.020000
Training Epoch: 9 [26368/47500]	Loss: 0.3392	LR: 0.020000
Training Epoch: 9 [26624/47500]	Loss: 0.3443	LR: 0.020000
Training Epoch: 9 [26880/47500]	Loss: 0.3956	LR: 0.020000
Training Epoch: 9 [27136/47500]	Loss: 0.4304	LR: 0.020000
Training Epoch: 9 [27392/47500]	Loss: 0.3890	LR: 0.020000
Training Epoch: 9 [27648/47500]	Loss: 0.4844	LR: 0.020000
Training Epoch: 9 [27904/47500]	Loss: 0.4543	LR: 0.020000
Training Epoch: 9 [28160/47500]	Loss: 0.3960	LR: 0.020000
Training Epoch: 9 [28416/47500]	Loss: 0.4529	LR: 0.020000
Training Epoch: 9 [28672/47500]	Loss: 0.3801	LR: 0.020000
Training Epoch: 9 [28928/47500]	Loss: 0.3742	LR: 0.020000
Training Epoch: 9 [29184/47500]	Loss: 0.3595	LR: 0.020000
Training Epoch: 9 [29440/47500]	Loss: 0.4407	LR: 0.020000
Training Epoch: 9 [29696/47500]	Loss: 0.3806	LR: 0.020000
Training Epoch: 9 [29952/47500]	Loss: 0.3629	LR: 0.020000
Training Epoch: 9 [30208/47500]	Loss: 0.3815	LR: 0.020000
Training Epoch: 9 [30464/47500]	Loss: 0.3682	LR: 0.020000
Training Epoch: 9 [30720/47500]	Loss: 0.4367	LR: 0.020000
Training Epoch: 9 [30976/47500]	Loss: 0.3943	LR: 0.020000
Training Epoch: 9 [31232/47500]	Loss: 0.3552	LR: 0.020000
Training Epoch: 9 [31488/47500]	Loss: 0.3615	LR: 0.020000
Training Epoch: 9 [31744/47500]	Loss: 0.3272	LR: 0.020000
Training Epoch: 9 [32000/47500]	Loss: 0.4205	LR: 0.020000
Training Epoch: 9 [32256/47500]	Loss: 0.3644	LR: 0.020000
Training Epoch: 9 [32512/47500]	Loss: 0.3658	LR: 0.020000
Training Epoch: 9 [32768/47500]	Loss: 0.3963	LR: 0.020000
Training Epoch: 9 [33024/47500]	Loss: 0.4773	LR: 0.020000
Training Epoch: 9 [33280/47500]	Loss: 0.3604	LR: 0.020000
Training Epoch: 9 [33536/47500]	Loss: 0.3751	LR: 0.020000
Training Epoch: 9 [33792/47500]	Loss: 0.3675	LR: 0.020000
Training Epoch: 9 [34048/47500]	Loss: 0.3361	LR: 0.020000
Training Epoch: 9 [34304/47500]	Loss: 0.4275	LR: 0.020000
Training Epoch: 9 [34560/47500]	Loss: 0.4198	LR: 0.020000
Training Epoch: 9 [34816/47500]	Loss: 0.3826	LR: 0.020000
Training Epoch: 9 [35072/47500]	Loss: 0.4534	LR: 0.020000
Training Epoch: 9 [35328/47500]	Loss: 0.4293	LR: 0.020000
Training Epoch: 9 [35584/47500]	Loss: 0.3103	LR: 0.020000
Training Epoch: 9 [35840/47500]	Loss: 0.4526	LR: 0.020000
Training Epoch: 9 [36096/47500]	Loss: 0.3882	LR: 0.020000
Training Epoch: 9 [36352/47500]	Loss: 0.4324	LR: 0.020000
Training Epoch: 9 [36608/47500]	Loss: 0.4550	LR: 0.020000
Training Epoch: 9 [36864/47500]	Loss: 0.3797	LR: 0.020000
Training Epoch: 9 [37120/47500]	Loss: 0.3666	LR: 0.020000
Training Epoch: 9 [37376/47500]	Loss: 0.3762	LR: 0.020000
Training Epoch: 9 [37632/47500]	Loss: 0.4251	LR: 0.020000
Training Epoch: 9 [37888/47500]	Loss: 0.4424	LR: 0.020000
Training Epoch: 9 [38144/47500]	Loss: 0.4277	LR: 0.020000
Training Epoch: 9 [38400/47500]	Loss: 0.4308	LR: 0.020000
Training Epoch: 9 [38656/47500]	Loss: 0.3766	LR: 0.020000
Training Epoch: 9 [38912/47500]	Loss: 0.4254	LR: 0.020000
Training Epoch: 9 [39168/47500]	Loss: 0.4397	LR: 0.020000
Training Epoch: 9 [39424/47500]	Loss: 0.3798	LR: 0.020000
Training Epoch: 9 [39680/47500]	Loss: 0.2957	LR: 0.020000
Training Epoch: 9 [39936/47500]	Loss: 0.3760	LR: 0.020000
Training Epoch: 9 [40192/47500]	Loss: 0.3534	LR: 0.020000
Training Epoch: 9 [40448/47500]	Loss: 0.4515	LR: 0.020000
Training Epoch: 9 [40704/47500]	Loss: 0.3944	LR: 0.020000
Training Epoch: 9 [40960/47500]	Loss: 0.3836	LR: 0.020000
Training Epoch: 9 [41216/47500]	Loss: 0.3812	LR: 0.020000
Training Epoch: 9 [41472/47500]	Loss: 0.3610	LR: 0.020000
Training Epoch: 9 [41728/47500]	Loss: 0.5617	LR: 0.020000
Training Epoch: 9 [41984/47500]	Loss: 0.3685	LR: 0.020000
Training Epoch: 9 [42240/47500]	Loss: 0.3516	LR: 0.020000
Training Epoch: 9 [42496/47500]	Loss: 0.4296	LR: 0.020000
Training Epoch: 9 [42752/47500]	Loss: 0.3874	LR: 0.020000
Training Epoch: 9 [43008/47500]	Loss: 0.3789	LR: 0.020000
Training Epoch: 9 [43264/47500]	Loss: 0.3753	LR: 0.020000
Training Epoch: 9 [43520/47500]	Loss: 0.3838	LR: 0.020000
Training Epoch: 9 [43776/47500]	Loss: 0.3879	LR: 0.020000
Training Epoch: 9 [44032/47500]	Loss: 0.4198	LR: 0.020000
Training Epoch: 9 [44288/47500]	Loss: 0.3747	LR: 0.020000
Training Epoch: 9 [44544/47500]	Loss: 0.4135	LR: 0.020000
Training Epoch: 9 [44800/47500]	Loss: 0.2692	LR: 0.020000
Training Epoch: 9 [45056/47500]	Loss: 0.3243	LR: 0.020000
Training Epoch: 9 [45312/47500]	Loss: 0.3668	LR: 0.020000
Training Epoch: 9 [45568/47500]	Loss: 0.4599	LR: 0.020000
Training Epoch: 9 [45824/47500]	Loss: 0.4910	LR: 0.020000
Training Epoch: 9 [46080/47500]	Loss: 0.3961	LR: 0.020000
Training Epoch: 9 [46336/47500]	Loss: 0.3488	LR: 0.020000
Training Epoch: 9 [46592/47500]	Loss: 0.3475	LR: 0.020000
Training Epoch: 9 [46848/47500]	Loss: 0.3978	LR: 0.020000
Training Epoch: 9 [47104/47500]	Loss: 0.5431	LR: 0.020000
Training Epoch: 9 [47360/47500]	Loss: 0.4094	LR: 0.020000
Training Epoch: 9 [47500/47500]	Loss: 0.4928	LR: 0.020000
Epoch 9 - Average Train Loss: 0.4002, Train Accuracy: 0.8609
Epoch 9 training time consumed: 29.48s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0016, Accuracy: 0.8600, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_09h_43m_21s/ResNet18-Cifar10-seed2-ret50-9-best.pth
Training Epoch: 10 [256/47500]	Loss: 0.2818	LR: 0.020000
Training Epoch: 10 [512/47500]	Loss: 0.3593	LR: 0.020000
Training Epoch: 10 [768/47500]	Loss: 0.3688	LR: 0.020000
Training Epoch: 10 [1024/47500]	Loss: 0.4107	LR: 0.020000
Training Epoch: 10 [1280/47500]	Loss: 0.3773	LR: 0.020000
Training Epoch: 10 [1536/47500]	Loss: 0.4480	LR: 0.020000
Training Epoch: 10 [1792/47500]	Loss: 0.4122	LR: 0.020000
Training Epoch: 10 [2048/47500]	Loss: 0.3913	LR: 0.020000
Training Epoch: 10 [2304/47500]	Loss: 0.3809	LR: 0.020000
Training Epoch: 10 [2560/47500]	Loss: 0.3868	LR: 0.020000
Training Epoch: 10 [2816/47500]	Loss: 0.3389	LR: 0.020000
Training Epoch: 10 [3072/47500]	Loss: 0.4313	LR: 0.020000
Training Epoch: 10 [3328/47500]	Loss: 0.3306	LR: 0.020000
Training Epoch: 10 [3584/47500]	Loss: 0.2994	LR: 0.020000
Training Epoch: 10 [3840/47500]	Loss: 0.3978	LR: 0.020000
Training Epoch: 10 [4096/47500]	Loss: 0.3824	LR: 0.020000
Training Epoch: 10 [4352/47500]	Loss: 0.4982	LR: 0.020000
Training Epoch: 10 [4608/47500]	Loss: 0.3644	LR: 0.020000
Training Epoch: 10 [4864/47500]	Loss: 0.3137	LR: 0.020000
Training Epoch: 10 [5120/47500]	Loss: 0.3515	LR: 0.020000
Training Epoch: 10 [5376/47500]	Loss: 0.4403	LR: 0.020000
Training Epoch: 10 [5632/47500]	Loss: 0.3336	LR: 0.020000
Training Epoch: 10 [5888/47500]	Loss: 0.3726	LR: 0.020000
Training Epoch: 10 [6144/47500]	Loss: 0.3565	LR: 0.020000
Training Epoch: 10 [6400/47500]	Loss: 0.3812	LR: 0.020000
Training Epoch: 10 [6656/47500]	Loss: 0.4802	LR: 0.020000
Training Epoch: 10 [6912/47500]	Loss: 0.4687	LR: 0.020000
Training Epoch: 10 [7168/47500]	Loss: 0.4109	LR: 0.020000
Training Epoch: 10 [7424/47500]	Loss: 0.3871	LR: 0.020000
Training Epoch: 10 [7680/47500]	Loss: 0.3471	LR: 0.020000
Training Epoch: 10 [7936/47500]	Loss: 0.4107	LR: 0.020000
Training Epoch: 10 [8192/47500]	Loss: 0.3787	LR: 0.020000
Training Epoch: 10 [8448/47500]	Loss: 0.4089	LR: 0.020000
Training Epoch: 10 [8704/47500]	Loss: 0.2941	LR: 0.020000
Training Epoch: 10 [8960/47500]	Loss: 0.3913	LR: 0.020000
Training Epoch: 10 [9216/47500]	Loss: 0.3851	LR: 0.020000
Training Epoch: 10 [9472/47500]	Loss: 0.3939	LR: 0.020000
Training Epoch: 10 [9728/47500]	Loss: 0.3962	LR: 0.020000
Training Epoch: 10 [9984/47500]	Loss: 0.5197	LR: 0.020000
Training Epoch: 10 [10240/47500]	Loss: 0.3144	LR: 0.020000
Training Epoch: 10 [10496/47500]	Loss: 0.3195	LR: 0.020000
Training Epoch: 10 [10752/47500]	Loss: 0.3152	LR: 0.020000
Training Epoch: 10 [11008/47500]	Loss: 0.3266	LR: 0.020000
Training Epoch: 10 [11264/47500]	Loss: 0.3277	LR: 0.020000
Training Epoch: 10 [11520/47500]	Loss: 0.5529	LR: 0.020000
Training Epoch: 10 [11776/47500]	Loss: 0.3607	LR: 0.020000
Training Epoch: 10 [12032/47500]	Loss: 0.4189	LR: 0.020000
Training Epoch: 10 [12288/47500]	Loss: 0.4381	LR: 0.020000
Training Epoch: 10 [12544/47500]	Loss: 0.3243	LR: 0.020000
Training Epoch: 10 [12800/47500]	Loss: 0.3636	LR: 0.020000
Training Epoch: 10 [13056/47500]	Loss: 0.4007	LR: 0.020000
Training Epoch: 10 [13312/47500]	Loss: 0.3421	LR: 0.020000
Training Epoch: 10 [13568/47500]	Loss: 0.3605	LR: 0.020000
Training Epoch: 10 [13824/47500]	Loss: 0.3572	LR: 0.020000
Training Epoch: 10 [14080/47500]	Loss: 0.3219	LR: 0.020000
Training Epoch: 10 [14336/47500]	Loss: 0.4860	LR: 0.020000
Training Epoch: 10 [14592/47500]	Loss: 0.4773	LR: 0.020000
Training Epoch: 10 [14848/47500]	Loss: 0.4036	LR: 0.020000
Training Epoch: 10 [15104/47500]	Loss: 0.3713	LR: 0.020000
Training Epoch: 10 [15360/47500]	Loss: 0.4361	LR: 0.020000
Training Epoch: 10 [15616/47500]	Loss: 0.3682	LR: 0.020000
Training Epoch: 10 [15872/47500]	Loss: 0.4004	LR: 0.020000
Training Epoch: 10 [16128/47500]	Loss: 0.3810	LR: 0.020000
Training Epoch: 10 [16384/47500]	Loss: 0.2895	LR: 0.020000
Training Epoch: 10 [16640/47500]	Loss: 0.4187	LR: 0.020000
Training Epoch: 10 [16896/47500]	Loss: 0.3729	LR: 0.020000
Training Epoch: 10 [17152/47500]	Loss: 0.4546	LR: 0.020000
Training Epoch: 10 [17408/47500]	Loss: 0.4556	LR: 0.020000
Training Epoch: 10 [17664/47500]	Loss: 0.3651	LR: 0.020000
Training Epoch: 10 [17920/47500]	Loss: 0.3285	LR: 0.020000
Training Epoch: 10 [18176/47500]	Loss: 0.3743	LR: 0.020000
Training Epoch: 10 [18432/47500]	Loss: 0.3622	LR: 0.020000
Training Epoch: 10 [18688/47500]	Loss: 0.4571	LR: 0.020000
Training Epoch: 10 [18944/47500]	Loss: 0.3663	LR: 0.020000
Training Epoch: 10 [19200/47500]	Loss: 0.4185	LR: 0.020000
Training Epoch: 10 [19456/47500]	Loss: 0.3382	LR: 0.020000
Training Epoch: 10 [19712/47500]	Loss: 0.3179	LR: 0.020000
Training Epoch: 10 [19968/47500]	Loss: 0.3585	LR: 0.020000
Training Epoch: 10 [20224/47500]	Loss: 0.3556	LR: 0.020000
Training Epoch: 10 [20480/47500]	Loss: 0.3464	LR: 0.020000
Training Epoch: 10 [20736/47500]	Loss: 0.5061	LR: 0.020000
Training Epoch: 10 [20992/47500]	Loss: 0.4071	LR: 0.020000
Training Epoch: 10 [21248/47500]	Loss: 0.4330	LR: 0.020000
Training Epoch: 10 [21504/47500]	Loss: 0.4316	LR: 0.020000
Training Epoch: 10 [21760/47500]	Loss: 0.4353	LR: 0.020000
Training Epoch: 10 [22016/47500]	Loss: 0.3780	LR: 0.020000
Training Epoch: 10 [22272/47500]	Loss: 0.3850	LR: 0.020000
Training Epoch: 10 [22528/47500]	Loss: 0.4149	LR: 0.020000
Training Epoch: 10 [22784/47500]	Loss: 0.3940	LR: 0.020000
Training Epoch: 10 [23040/47500]	Loss: 0.3651	LR: 0.020000
Training Epoch: 10 [23296/47500]	Loss: 0.3373	LR: 0.020000
Training Epoch: 10 [23552/47500]	Loss: 0.4079	LR: 0.020000
Training Epoch: 10 [23808/47500]	Loss: 0.3344	LR: 0.020000
Training Epoch: 10 [24064/47500]	Loss: 0.3921	LR: 0.020000
Training Epoch: 10 [24320/47500]	Loss: 0.3632	LR: 0.020000
Training Epoch: 10 [24576/47500]	Loss: 0.4072	LR: 0.020000
Training Epoch: 10 [24832/47500]	Loss: 0.3849	LR: 0.020000
Training Epoch: 10 [25088/47500]	Loss: 0.4053	LR: 0.020000
Training Epoch: 10 [25344/47500]	Loss: 0.4087	LR: 0.020000
Training Epoch: 10 [25600/47500]	Loss: 0.4170	LR: 0.020000
Training Epoch: 10 [25856/47500]	Loss: 0.3477	LR: 0.020000
Training Epoch: 10 [26112/47500]	Loss: 0.3694	LR: 0.020000
Training Epoch: 10 [26368/47500]	Loss: 0.3624	LR: 0.020000
Training Epoch: 10 [26624/47500]	Loss: 0.4184	LR: 0.020000
Training Epoch: 10 [26880/47500]	Loss: 0.3165	LR: 0.020000
Training Epoch: 10 [27136/47500]	Loss: 0.3415	LR: 0.020000
Training Epoch: 10 [27392/47500]	Loss: 0.4340	LR: 0.020000
Training Epoch: 10 [27648/47500]	Loss: 0.3282	LR: 0.020000
Training Epoch: 10 [27904/47500]	Loss: 0.4126	LR: 0.020000
Training Epoch: 10 [28160/47500]	Loss: 0.4019	LR: 0.020000
Training Epoch: 10 [28416/47500]	Loss: 0.3469	LR: 0.020000
Training Epoch: 10 [28672/47500]	Loss: 0.3944	LR: 0.020000
Training Epoch: 10 [28928/47500]	Loss: 0.3537	LR: 0.020000
Training Epoch: 10 [29184/47500]	Loss: 0.3664	LR: 0.020000
Training Epoch: 10 [29440/47500]	Loss: 0.3353	LR: 0.020000
Training Epoch: 10 [29696/47500]	Loss: 0.3685	LR: 0.020000
Training Epoch: 10 [29952/47500]	Loss: 0.4370	LR: 0.020000
Training Epoch: 10 [30208/47500]	Loss: 0.3379	LR: 0.020000
Training Epoch: 10 [30464/47500]	Loss: 0.3281	LR: 0.020000
Training Epoch: 10 [30720/47500]	Loss: 0.3393	LR: 0.020000
Training Epoch: 10 [30976/47500]	Loss: 0.4197	LR: 0.020000
Training Epoch: 10 [31232/47500]	Loss: 0.3316	LR: 0.020000
Training Epoch: 10 [31488/47500]	Loss: 0.3592	LR: 0.020000
Training Epoch: 10 [31744/47500]	Loss: 0.4457	LR: 0.020000
Training Epoch: 10 [32000/47500]	Loss: 0.4556	LR: 0.020000
Training Epoch: 10 [32256/47500]	Loss: 0.3919	LR: 0.020000
Training Epoch: 10 [32512/47500]	Loss: 0.3276	LR: 0.020000
Training Epoch: 10 [32768/47500]	Loss: 0.3796	LR: 0.020000
Training Epoch: 10 [33024/47500]	Loss: 0.3293	LR: 0.020000
Training Epoch: 10 [33280/47500]	Loss: 0.3541	LR: 0.020000
Training Epoch: 10 [33536/47500]	Loss: 0.3261	LR: 0.020000
Training Epoch: 10 [33792/47500]	Loss: 0.4236	LR: 0.020000
Training Epoch: 10 [34048/47500]	Loss: 0.3719	LR: 0.020000
Training Epoch: 10 [34304/47500]	Loss: 0.3678	LR: 0.020000
Training Epoch: 10 [34560/47500]	Loss: 0.3295	LR: 0.020000
Training Epoch: 10 [34816/47500]	Loss: 0.3630	LR: 0.020000
Training Epoch: 10 [35072/47500]	Loss: 0.4976	LR: 0.020000
Training Epoch: 10 [35328/47500]	Loss: 0.2885	LR: 0.020000
Training Epoch: 10 [35584/47500]	Loss: 0.4023	LR: 0.020000
Training Epoch: 10 [35840/47500]	Loss: 0.3802	LR: 0.020000
Training Epoch: 10 [36096/47500]	Loss: 0.3356	LR: 0.020000
Training Epoch: 10 [36352/47500]	Loss: 0.4224	LR: 0.020000
Training Epoch: 10 [36608/47500]	Loss: 0.3441	LR: 0.020000
Training Epoch: 10 [36864/47500]	Loss: 0.3140	LR: 0.020000
Training Epoch: 10 [37120/47500]	Loss: 0.4019	LR: 0.020000
Training Epoch: 10 [37376/47500]	Loss: 0.4035	LR: 0.020000
Training Epoch: 10 [37632/47500]	Loss: 0.4250	LR: 0.020000
Training Epoch: 10 [37888/47500]	Loss: 0.3310	LR: 0.020000
Training Epoch: 10 [38144/47500]	Loss: 0.3652	LR: 0.020000
Training Epoch: 10 [38400/47500]	Loss: 0.3764	LR: 0.020000
Training Epoch: 10 [38656/47500]	Loss: 0.3668	LR: 0.020000
Training Epoch: 10 [38912/47500]	Loss: 0.4198	LR: 0.020000
Training Epoch: 10 [39168/47500]	Loss: 0.4097	LR: 0.020000
Training Epoch: 10 [39424/47500]	Loss: 0.3647	LR: 0.020000
Training Epoch: 10 [39680/47500]	Loss: 0.3836	LR: 0.020000
Training Epoch: 10 [39936/47500]	Loss: 0.4226	LR: 0.020000
Training Epoch: 10 [40192/47500]	Loss: 0.4474	LR: 0.020000
Training Epoch: 10 [40448/47500]	Loss: 0.3503	LR: 0.020000
Training Epoch: 10 [40704/47500]	Loss: 0.3736	LR: 0.020000
Training Epoch: 10 [40960/47500]	Loss: 0.4009	LR: 0.020000
Training Epoch: 10 [41216/47500]	Loss: 0.3699	LR: 0.020000
Training Epoch: 10 [41472/47500]	Loss: 0.3736	LR: 0.020000
Training Epoch: 10 [41728/47500]	Loss: 0.3341	LR: 0.020000
Training Epoch: 10 [41984/47500]	Loss: 0.3648	LR: 0.020000
Training Epoch: 10 [42240/47500]	Loss: 0.4231	LR: 0.020000
Training Epoch: 10 [42496/47500]	Loss: 0.3703	LR: 0.020000
Training Epoch: 10 [42752/47500]	Loss: 0.3451	LR: 0.020000
Training Epoch: 10 [43008/47500]	Loss: 0.3273	LR: 0.020000
Training Epoch: 10 [43264/47500]	Loss: 0.4546	LR: 0.020000
Training Epoch: 10 [43520/47500]	Loss: 0.2744	LR: 0.020000
Training Epoch: 10 [43776/47500]	Loss: 0.3910	LR: 0.020000
Training Epoch: 10 [44032/47500]	Loss: 0.3997	LR: 0.020000
Training Epoch: 10 [44288/47500]	Loss: 0.3900	LR: 0.020000
Training Epoch: 10 [44544/47500]	Loss: 0.3551	LR: 0.020000
Training Epoch: 10 [44800/47500]	Loss: 0.4559	LR: 0.020000
Training Epoch: 10 [45056/47500]	Loss: 0.3373	LR: 0.020000
Training Epoch: 10 [45312/47500]	Loss: 0.4071	LR: 0.020000
Training Epoch: 10 [45568/47500]	Loss: 0.3618	LR: 0.020000
Training Epoch: 10 [45824/47500]	Loss: 0.4159	LR: 0.020000
Training Epoch: 10 [46080/47500]	Loss: 0.3545	LR: 0.020000
Training Epoch: 10 [46336/47500]	Loss: 0.3928	LR: 0.020000
Training Epoch: 10 [46592/47500]	Loss: 0.4268	LR: 0.020000
Training Epoch: 10 [46848/47500]	Loss: 0.3472	LR: 0.020000
Training Epoch: 10 [47104/47500]	Loss: 0.4182	LR: 0.020000
Training Epoch: 10 [47360/47500]	Loss: 0.4438	LR: 0.020000
Training Epoch: 10 [47500/47500]	Loss: 0.4330	LR: 0.020000
Epoch 10 - Average Train Loss: 0.3824, Train Accuracy: 0.8667
Epoch 10 training time consumed: 29.27s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0015, Accuracy: 0.8637, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_09h_43m_21s/ResNet18-Cifar10-seed2-ret50-10-best.pth
Training Epoch: 11 [256/47500]	Loss: 0.3343	LR: 0.020000
Training Epoch: 11 [512/47500]	Loss: 0.4343	LR: 0.020000
Training Epoch: 11 [768/47500]	Loss: 0.3664	LR: 0.020000
Training Epoch: 11 [1024/47500]	Loss: 0.3218	LR: 0.020000
Training Epoch: 11 [1280/47500]	Loss: 0.4759	LR: 0.020000
Training Epoch: 11 [1536/47500]	Loss: 0.4209	LR: 0.020000
Training Epoch: 11 [1792/47500]	Loss: 0.3083	LR: 0.020000
Training Epoch: 11 [2048/47500]	Loss: 0.3528	LR: 0.020000
Training Epoch: 11 [2304/47500]	Loss: 0.4895	LR: 0.020000
Training Epoch: 11 [2560/47500]	Loss: 0.3320	LR: 0.020000
Training Epoch: 11 [2816/47500]	Loss: 0.4018	LR: 0.020000
Training Epoch: 11 [3072/47500]	Loss: 0.3300	LR: 0.020000
Training Epoch: 11 [3328/47500]	Loss: 0.3047	LR: 0.020000
Training Epoch: 11 [3584/47500]	Loss: 0.3722	LR: 0.020000
Training Epoch: 11 [3840/47500]	Loss: 0.3863	LR: 0.020000
Training Epoch: 11 [4096/47500]	Loss: 0.3871	LR: 0.020000
Training Epoch: 11 [4352/47500]	Loss: 0.3729	LR: 0.020000
Training Epoch: 11 [4608/47500]	Loss: 0.3460	LR: 0.020000
Training Epoch: 11 [4864/47500]	Loss: 0.3472	LR: 0.020000
Training Epoch: 11 [5120/47500]	Loss: 0.3910	LR: 0.020000
Training Epoch: 11 [5376/47500]	Loss: 0.3547	LR: 0.020000
Training Epoch: 11 [5632/47500]	Loss: 0.3760	LR: 0.020000
Training Epoch: 11 [5888/47500]	Loss: 0.3307	LR: 0.020000
Training Epoch: 11 [6144/47500]	Loss: 0.3788	LR: 0.020000
Training Epoch: 11 [6400/47500]	Loss: 0.3911	LR: 0.020000
Training Epoch: 11 [6656/47500]	Loss: 0.3349	LR: 0.020000
Training Epoch: 11 [6912/47500]	Loss: 0.3267	LR: 0.020000
Training Epoch: 11 [7168/47500]	Loss: 0.3348	LR: 0.020000
Training Epoch: 11 [7424/47500]	Loss: 0.3627	LR: 0.020000
Training Epoch: 11 [7680/47500]	Loss: 0.2661	LR: 0.020000
Training Epoch: 11 [7936/47500]	Loss: 0.3001	LR: 0.020000
Training Epoch: 11 [8192/47500]	Loss: 0.3519	LR: 0.020000
Training Epoch: 11 [8448/47500]	Loss: 0.4028	LR: 0.020000
Training Epoch: 11 [8704/47500]	Loss: 0.4970	LR: 0.020000
Training Epoch: 11 [8960/47500]	Loss: 0.4281	LR: 0.020000
Training Epoch: 11 [9216/47500]	Loss: 0.3072	LR: 0.020000
Training Epoch: 11 [9472/47500]	Loss: 0.3092	LR: 0.020000
Training Epoch: 11 [9728/47500]	Loss: 0.3527	LR: 0.020000
Training Epoch: 11 [9984/47500]	Loss: 0.3448	LR: 0.020000
Training Epoch: 11 [10240/47500]	Loss: 0.3696	LR: 0.020000
Training Epoch: 11 [10496/47500]	Loss: 0.2931	LR: 0.020000
Training Epoch: 11 [10752/47500]	Loss: 0.4488	LR: 0.020000
Training Epoch: 11 [11008/47500]	Loss: 0.3085	LR: 0.020000
Training Epoch: 11 [11264/47500]	Loss: 0.3344	LR: 0.020000
Training Epoch: 11 [11520/47500]	Loss: 0.4218	LR: 0.020000
Training Epoch: 11 [11776/47500]	Loss: 0.3516	LR: 0.020000
Training Epoch: 11 [12032/47500]	Loss: 0.3515	LR: 0.020000
Training Epoch: 11 [12288/47500]	Loss: 0.3594	LR: 0.020000
Training Epoch: 11 [12544/47500]	Loss: 0.4713	LR: 0.020000
Training Epoch: 11 [12800/47500]	Loss: 0.3693	LR: 0.020000
Training Epoch: 11 [13056/47500]	Loss: 0.3303	LR: 0.020000
Training Epoch: 11 [13312/47500]	Loss: 0.2627	LR: 0.020000
Training Epoch: 11 [13568/47500]	Loss: 0.4035	LR: 0.020000
Training Epoch: 11 [13824/47500]	Loss: 0.4177	LR: 0.020000
Training Epoch: 11 [14080/47500]	Loss: 0.4596	LR: 0.020000
Training Epoch: 11 [14336/47500]	Loss: 0.3940	LR: 0.020000
Training Epoch: 11 [14592/47500]	Loss: 0.3809	LR: 0.020000
Training Epoch: 11 [14848/47500]	Loss: 0.3785	LR: 0.020000
Training Epoch: 11 [15104/47500]	Loss: 0.3163	LR: 0.020000
Training Epoch: 11 [15360/47500]	Loss: 0.3924	LR: 0.020000
Training Epoch: 11 [15616/47500]	Loss: 0.3220	LR: 0.020000
Training Epoch: 11 [15872/47500]	Loss: 0.4429	LR: 0.020000
Training Epoch: 11 [16128/47500]	Loss: 0.3623	LR: 0.020000
Training Epoch: 11 [16384/47500]	Loss: 0.3712	LR: 0.020000
Training Epoch: 11 [16640/47500]	Loss: 0.3712	LR: 0.020000
Training Epoch: 11 [16896/47500]	Loss: 0.4605	LR: 0.020000
Training Epoch: 11 [17152/47500]	Loss: 0.3583	LR: 0.020000
Training Epoch: 11 [17408/47500]	Loss: 0.4368	LR: 0.020000
Training Epoch: 11 [17664/47500]	Loss: 0.3520	LR: 0.020000
Training Epoch: 11 [17920/47500]	Loss: 0.3616	LR: 0.020000
Training Epoch: 11 [18176/47500]	Loss: 0.3524	LR: 0.020000
Training Epoch: 11 [18432/47500]	Loss: 0.3095	LR: 0.020000
Training Epoch: 11 [18688/47500]	Loss: 0.3552	LR: 0.020000
Training Epoch: 11 [18944/47500]	Loss: 0.4421	LR: 0.020000
Training Epoch: 11 [19200/47500]	Loss: 0.4255	LR: 0.020000
Training Epoch: 11 [19456/47500]	Loss: 0.3889	LR: 0.020000
Training Epoch: 11 [19712/47500]	Loss: 0.3798	LR: 0.020000
Training Epoch: 11 [19968/47500]	Loss: 0.4118	LR: 0.020000
Training Epoch: 11 [20224/47500]	Loss: 0.3596	LR: 0.020000
Training Epoch: 11 [20480/47500]	Loss: 0.3644	LR: 0.020000
Training Epoch: 11 [20736/47500]	Loss: 0.3110	LR: 0.020000
Training Epoch: 11 [20992/47500]	Loss: 0.3185	LR: 0.020000
Training Epoch: 11 [21248/47500]	Loss: 0.4133	LR: 0.020000
Training Epoch: 11 [21504/47500]	Loss: 0.4010	LR: 0.020000
Training Epoch: 11 [21760/47500]	Loss: 0.3461	LR: 0.020000
Training Epoch: 11 [22016/47500]	Loss: 0.2873	LR: 0.020000
Training Epoch: 11 [22272/47500]	Loss: 0.3053	LR: 0.020000
Training Epoch: 11 [22528/47500]	Loss: 0.3222	LR: 0.020000
Training Epoch: 11 [22784/47500]	Loss: 0.3732	LR: 0.020000
Training Epoch: 11 [23040/47500]	Loss: 0.4174	LR: 0.020000
Training Epoch: 11 [23296/47500]	Loss: 0.3558	LR: 0.020000
Training Epoch: 11 [23552/47500]	Loss: 0.3642	LR: 0.020000
Training Epoch: 11 [23808/47500]	Loss: 0.3981	LR: 0.020000
Training Epoch: 11 [24064/47500]	Loss: 0.3229	LR: 0.020000
Training Epoch: 11 [24320/47500]	Loss: 0.3907	LR: 0.020000
Training Epoch: 11 [24576/47500]	Loss: 0.3432	LR: 0.020000
Training Epoch: 11 [24832/47500]	Loss: 0.4209	LR: 0.020000
Training Epoch: 11 [25088/47500]	Loss: 0.3649	LR: 0.020000
Training Epoch: 11 [25344/47500]	Loss: 0.3480	LR: 0.020000
Training Epoch: 11 [25600/47500]	Loss: 0.3569	LR: 0.020000
Training Epoch: 11 [25856/47500]	Loss: 0.3153	LR: 0.020000
Training Epoch: 11 [26112/47500]	Loss: 0.4133	LR: 0.020000
Training Epoch: 11 [26368/47500]	Loss: 0.3101	LR: 0.020000
Training Epoch: 11 [26624/47500]	Loss: 0.2769	LR: 0.020000
Training Epoch: 11 [26880/47500]	Loss: 0.3646	LR: 0.020000
Training Epoch: 11 [27136/47500]	Loss: 0.3969	LR: 0.020000
Training Epoch: 11 [27392/47500]	Loss: 0.3678	LR: 0.020000
Training Epoch: 11 [27648/47500]	Loss: 0.4103	LR: 0.020000
Training Epoch: 11 [27904/47500]	Loss: 0.4222	LR: 0.020000
Training Epoch: 11 [28160/47500]	Loss: 0.4078	LR: 0.020000
Training Epoch: 11 [28416/47500]	Loss: 0.3242	LR: 0.020000
Training Epoch: 11 [28672/47500]	Loss: 0.3538	LR: 0.020000
Training Epoch: 11 [28928/47500]	Loss: 0.4736	LR: 0.020000
Training Epoch: 11 [29184/47500]	Loss: 0.3170	LR: 0.020000
Training Epoch: 11 [29440/47500]	Loss: 0.4659	LR: 0.020000
Training Epoch: 11 [29696/47500]	Loss: 0.4234	LR: 0.020000
Training Epoch: 11 [29952/47500]	Loss: 0.3800	LR: 0.020000
Training Epoch: 11 [30208/47500]	Loss: 0.3526	LR: 0.020000
Training Epoch: 11 [30464/47500]	Loss: 0.3297	LR: 0.020000
Training Epoch: 11 [30720/47500]	Loss: 0.2784	LR: 0.020000
Training Epoch: 11 [30976/47500]	Loss: 0.3432	LR: 0.020000
Training Epoch: 11 [31232/47500]	Loss: 0.3683	LR: 0.020000
Training Epoch: 11 [31488/47500]	Loss: 0.4413	LR: 0.020000
Training Epoch: 11 [31744/47500]	Loss: 0.3982	LR: 0.020000
Training Epoch: 11 [32000/47500]	Loss: 0.4051	LR: 0.020000
Training Epoch: 11 [32256/47500]	Loss: 0.3377	LR: 0.020000
Training Epoch: 11 [32512/47500]	Loss: 0.3281	LR: 0.020000
Training Epoch: 11 [32768/47500]	Loss: 0.3358	LR: 0.020000
Training Epoch: 11 [33024/47500]	Loss: 0.3462	LR: 0.020000
Training Epoch: 11 [33280/47500]	Loss: 0.2562	LR: 0.020000
Training Epoch: 11 [33536/47500]	Loss: 0.3978	LR: 0.020000
Training Epoch: 11 [33792/47500]	Loss: 0.3785	LR: 0.020000
Training Epoch: 11 [34048/47500]	Loss: 0.3486	LR: 0.020000
Training Epoch: 11 [34304/47500]	Loss: 0.3392	LR: 0.020000
Training Epoch: 11 [34560/47500]	Loss: 0.3760	LR: 0.020000
Training Epoch: 11 [34816/47500]	Loss: 0.4037	LR: 0.020000
Training Epoch: 11 [35072/47500]	Loss: 0.2821	LR: 0.020000
Training Epoch: 11 [35328/47500]	Loss: 0.2864	LR: 0.020000
Training Epoch: 11 [35584/47500]	Loss: 0.3860	LR: 0.020000
Training Epoch: 11 [35840/47500]	Loss: 0.3797	LR: 0.020000
Training Epoch: 11 [36096/47500]	Loss: 0.3560	LR: 0.020000
Training Epoch: 11 [36352/47500]	Loss: 0.3589	LR: 0.020000
Training Epoch: 11 [36608/47500]	Loss: 0.2888	LR: 0.020000
Training Epoch: 11 [36864/47500]	Loss: 0.3576	LR: 0.020000
Training Epoch: 11 [37120/47500]	Loss: 0.3171	LR: 0.020000
Training Epoch: 11 [37376/47500]	Loss: 0.3324	LR: 0.020000
Training Epoch: 11 [37632/47500]	Loss: 0.3603	LR: 0.020000
Training Epoch: 11 [37888/47500]	Loss: 0.4218	LR: 0.020000
Training Epoch: 11 [38144/47500]	Loss: 0.3846	LR: 0.020000
Training Epoch: 11 [38400/47500]	Loss: 0.4712	LR: 0.020000
Training Epoch: 11 [38656/47500]	Loss: 0.3221	LR: 0.020000
Training Epoch: 11 [38912/47500]	Loss: 0.4232	LR: 0.020000
Training Epoch: 11 [39168/47500]	Loss: 0.3573	LR: 0.020000
Training Epoch: 11 [39424/47500]	Loss: 0.3511	LR: 0.020000
Training Epoch: 11 [39680/47500]	Loss: 0.3588	LR: 0.020000
Training Epoch: 11 [39936/47500]	Loss: 0.3641	LR: 0.020000
Training Epoch: 11 [40192/47500]	Loss: 0.3879	LR: 0.020000
Training Epoch: 11 [40448/47500]	Loss: 0.4255	LR: 0.020000
Training Epoch: 11 [40704/47500]	Loss: 0.3858	LR: 0.020000
Training Epoch: 11 [40960/47500]	Loss: 0.3826	LR: 0.020000
Training Epoch: 11 [41216/47500]	Loss: 0.3952	LR: 0.020000
Training Epoch: 11 [41472/47500]	Loss: 0.3965	LR: 0.020000
Training Epoch: 11 [41728/47500]	Loss: 0.3352	LR: 0.020000
Training Epoch: 11 [41984/47500]	Loss: 0.3669	LR: 0.020000
Training Epoch: 11 [42240/47500]	Loss: 0.3634	LR: 0.020000
Training Epoch: 11 [42496/47500]	Loss: 0.3789	LR: 0.020000
Training Epoch: 11 [42752/47500]	Loss: 0.4015	LR: 0.020000
Training Epoch: 11 [43008/47500]	Loss: 0.3897	LR: 0.020000
Training Epoch: 11 [43264/47500]	Loss: 0.2777	LR: 0.020000
Training Epoch: 11 [43520/47500]	Loss: 0.3989	LR: 0.020000
Training Epoch: 11 [43776/47500]	Loss: 0.3708	LR: 0.020000
Training Epoch: 11 [44032/47500]	Loss: 0.3679	LR: 0.020000
Training Epoch: 11 [44288/47500]	Loss: 0.2931	LR: 0.020000
Training Epoch: 11 [44544/47500]	Loss: 0.3229	LR: 0.020000
Training Epoch: 11 [44800/47500]	Loss: 0.3121	LR: 0.020000
Training Epoch: 11 [45056/47500]	Loss: 0.3567	LR: 0.020000
Training Epoch: 11 [45312/47500]	Loss: 0.3746	LR: 0.020000
Training Epoch: 11 [45568/47500]	Loss: 0.2815	LR: 0.020000
Training Epoch: 11 [45824/47500]	Loss: 0.3594	LR: 0.020000
Training Epoch: 11 [46080/47500]	Loss: 0.2647	LR: 0.020000
Training Epoch: 11 [46336/47500]	Loss: 0.2947	LR: 0.020000
Training Epoch: 11 [46592/47500]	Loss: 0.2900	LR: 0.020000
Training Epoch: 11 [46848/47500]	Loss: 0.4974	LR: 0.020000
Training Epoch: 11 [47104/47500]	Loss: 0.4372	LR: 0.020000
Training Epoch: 11 [47360/47500]	Loss: 0.4210	LR: 0.020000
Training Epoch: 11 [47500/47500]	Loss: 0.3689	LR: 0.020000
Epoch 11 - Average Train Loss: 0.3660, Train Accuracy: 0.8731
Epoch 11 training time consumed: 29.41s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0017, Accuracy: 0.8554, Time consumed:0.97s
Training Epoch: 12 [256/47500]	Loss: 0.2627	LR: 0.004000
Training Epoch: 12 [512/47500]	Loss: 0.4467	LR: 0.004000
Training Epoch: 12 [768/47500]	Loss: 0.2872	LR: 0.004000
Training Epoch: 12 [1024/47500]	Loss: 0.3767	LR: 0.004000
Training Epoch: 12 [1280/47500]	Loss: 0.3425	LR: 0.004000
Training Epoch: 12 [1536/47500]	Loss: 0.3508	LR: 0.004000
Training Epoch: 12 [1792/47500]	Loss: 0.3003	LR: 0.004000
Training Epoch: 12 [2048/47500]	Loss: 0.2727	LR: 0.004000
Training Epoch: 12 [2304/47500]	Loss: 0.3312	LR: 0.004000
Training Epoch: 12 [2560/47500]	Loss: 0.3070	LR: 0.004000
Training Epoch: 12 [2816/47500]	Loss: 0.3915	LR: 0.004000
Training Epoch: 12 [3072/47500]	Loss: 0.3376	LR: 0.004000
Training Epoch: 12 [3328/47500]	Loss: 0.3459	LR: 0.004000
Training Epoch: 12 [3584/47500]	Loss: 0.3842	LR: 0.004000
Training Epoch: 12 [3840/47500]	Loss: 0.2845	LR: 0.004000
Training Epoch: 12 [4096/47500]	Loss: 0.3446	LR: 0.004000
Training Epoch: 12 [4352/47500]	Loss: 0.3223	LR: 0.004000
Training Epoch: 12 [4608/47500]	Loss: 0.2768	LR: 0.004000
Training Epoch: 12 [4864/47500]	Loss: 0.3065	LR: 0.004000
Training Epoch: 12 [5120/47500]	Loss: 0.3191	LR: 0.004000
Training Epoch: 12 [5376/47500]	Loss: 0.3826	LR: 0.004000
Training Epoch: 12 [5632/47500]	Loss: 0.3276	LR: 0.004000
Training Epoch: 12 [5888/47500]	Loss: 0.3214	LR: 0.004000
Training Epoch: 12 [6144/47500]	Loss: 0.3926	LR: 0.004000
Training Epoch: 12 [6400/47500]	Loss: 0.2055	LR: 0.004000
Training Epoch: 12 [6656/47500]	Loss: 0.3704	LR: 0.004000
Training Epoch: 12 [6912/47500]	Loss: 0.2373	LR: 0.004000
Training Epoch: 12 [7168/47500]	Loss: 0.3652	LR: 0.004000
Training Epoch: 12 [7424/47500]	Loss: 0.3618	LR: 0.004000
Training Epoch: 12 [7680/47500]	Loss: 0.2592	LR: 0.004000
Training Epoch: 12 [7936/47500]	Loss: 0.2960	LR: 0.004000
Training Epoch: 12 [8192/47500]	Loss: 0.3175	LR: 0.004000
Training Epoch: 12 [8448/47500]	Loss: 0.3644	LR: 0.004000
Training Epoch: 12 [8704/47500]	Loss: 0.3594	LR: 0.004000
Training Epoch: 12 [8960/47500]	Loss: 0.2760	LR: 0.004000
Training Epoch: 12 [9216/47500]	Loss: 0.3136	LR: 0.004000
Training Epoch: 12 [9472/47500]	Loss: 0.3495	LR: 0.004000
Training Epoch: 12 [9728/47500]	Loss: 0.3168	LR: 0.004000
Training Epoch: 12 [9984/47500]	Loss: 0.3308	LR: 0.004000
Training Epoch: 12 [10240/47500]	Loss: 0.2729	LR: 0.004000
Training Epoch: 12 [10496/47500]	Loss: 0.3785	LR: 0.004000
Training Epoch: 12 [10752/47500]	Loss: 0.3841	LR: 0.004000
Training Epoch: 12 [11008/47500]	Loss: 0.3268	LR: 0.004000
Training Epoch: 12 [11264/47500]	Loss: 0.2774	LR: 0.004000
Training Epoch: 12 [11520/47500]	Loss: 0.4021	LR: 0.004000
Training Epoch: 12 [11776/47500]	Loss: 0.3240	LR: 0.004000
Training Epoch: 12 [12032/47500]	Loss: 0.3644	LR: 0.004000
Training Epoch: 12 [12288/47500]	Loss: 0.3091	LR: 0.004000
Training Epoch: 12 [12544/47500]	Loss: 0.3223	LR: 0.004000
Training Epoch: 12 [12800/47500]	Loss: 0.2917	LR: 0.004000
Training Epoch: 12 [13056/47500]	Loss: 0.3231	LR: 0.004000
Training Epoch: 12 [13312/47500]	Loss: 0.3430	LR: 0.004000
Training Epoch: 12 [13568/47500]	Loss: 0.3287	LR: 0.004000
Training Epoch: 12 [13824/47500]	Loss: 0.3055	LR: 0.004000
Training Epoch: 12 [14080/47500]	Loss: 0.3340	LR: 0.004000
Training Epoch: 12 [14336/47500]	Loss: 0.3500	LR: 0.004000
Training Epoch: 12 [14592/47500]	Loss: 0.3347	LR: 0.004000
Training Epoch: 12 [14848/47500]	Loss: 0.4118	LR: 0.004000
Training Epoch: 12 [15104/47500]	Loss: 0.2793	LR: 0.004000
Training Epoch: 12 [15360/47500]	Loss: 0.3214	LR: 0.004000
Training Epoch: 12 [15616/47500]	Loss: 0.3315	LR: 0.004000
Training Epoch: 12 [15872/47500]	Loss: 0.3769	LR: 0.004000
Training Epoch: 12 [16128/47500]	Loss: 0.2901	LR: 0.004000
Training Epoch: 12 [16384/47500]	Loss: 0.3080	LR: 0.004000
Training Epoch: 12 [16640/47500]	Loss: 0.3305	LR: 0.004000
Training Epoch: 12 [16896/47500]	Loss: 0.3518	LR: 0.004000
Training Epoch: 12 [17152/47500]	Loss: 0.2900	LR: 0.004000
Training Epoch: 12 [17408/47500]	Loss: 0.3096	LR: 0.004000
Training Epoch: 12 [17664/47500]	Loss: 0.3370	LR: 0.004000
Training Epoch: 12 [17920/47500]	Loss: 0.2842	LR: 0.004000
Training Epoch: 12 [18176/47500]	Loss: 0.3014	LR: 0.004000
Training Epoch: 12 [18432/47500]	Loss: 0.3497	LR: 0.004000
Training Epoch: 12 [18688/47500]	Loss: 0.3376	LR: 0.004000
Training Epoch: 12 [18944/47500]	Loss: 0.2530	LR: 0.004000
Training Epoch: 12 [19200/47500]	Loss: 0.3482	LR: 0.004000
Training Epoch: 12 [19456/47500]	Loss: 0.3145	LR: 0.004000
Training Epoch: 12 [19712/47500]	Loss: 0.3880	LR: 0.004000
Training Epoch: 12 [19968/47500]	Loss: 0.2515	LR: 0.004000
Training Epoch: 12 [20224/47500]	Loss: 0.2669	LR: 0.004000
Training Epoch: 12 [20480/47500]	Loss: 0.3270	LR: 0.004000
Training Epoch: 12 [20736/47500]	Loss: 0.3734	LR: 0.004000
Training Epoch: 12 [20992/47500]	Loss: 0.3170	LR: 0.004000
Training Epoch: 12 [21248/47500]	Loss: 0.3424	LR: 0.004000
Training Epoch: 12 [21504/47500]	Loss: 0.2598	LR: 0.004000
Training Epoch: 12 [21760/47500]	Loss: 0.2800	LR: 0.004000
Training Epoch: 12 [22016/47500]	Loss: 0.2344	LR: 0.004000
Training Epoch: 12 [22272/47500]	Loss: 0.3368	LR: 0.004000
Training Epoch: 12 [22528/47500]	Loss: 0.3258	LR: 0.004000
Training Epoch: 12 [22784/47500]	Loss: 0.3410	LR: 0.004000
Training Epoch: 12 [23040/47500]	Loss: 0.3544	LR: 0.004000
Training Epoch: 12 [23296/47500]	Loss: 0.3244	LR: 0.004000
Training Epoch: 12 [23552/47500]	Loss: 0.2479	LR: 0.004000
Training Epoch: 12 [23808/47500]	Loss: 0.3420	LR: 0.004000
Training Epoch: 12 [24064/47500]	Loss: 0.2580	LR: 0.004000
Training Epoch: 12 [24320/47500]	Loss: 0.2478	LR: 0.004000
Training Epoch: 12 [24576/47500]	Loss: 0.2929	LR: 0.004000
Training Epoch: 12 [24832/47500]	Loss: 0.2925	LR: 0.004000
Training Epoch: 12 [25088/47500]	Loss: 0.2455	LR: 0.004000
Training Epoch: 12 [25344/47500]	Loss: 0.2636	LR: 0.004000
Training Epoch: 12 [25600/47500]	Loss: 0.3814	LR: 0.004000
Training Epoch: 12 [25856/47500]	Loss: 0.3181	LR: 0.004000
Training Epoch: 12 [26112/47500]	Loss: 0.3711	LR: 0.004000
Training Epoch: 12 [26368/47500]	Loss: 0.3508	LR: 0.004000
Training Epoch: 12 [26624/47500]	Loss: 0.3123	LR: 0.004000
Training Epoch: 12 [26880/47500]	Loss: 0.3216	LR: 0.004000
Training Epoch: 12 [27136/47500]	Loss: 0.3180	LR: 0.004000
Training Epoch: 12 [27392/47500]	Loss: 0.3768	LR: 0.004000
Training Epoch: 12 [27648/47500]	Loss: 0.3463	LR: 0.004000
Training Epoch: 12 [27904/47500]	Loss: 0.2873	LR: 0.004000
Training Epoch: 12 [28160/47500]	Loss: 0.2927	LR: 0.004000
Training Epoch: 12 [28416/47500]	Loss: 0.2933	LR: 0.004000
Training Epoch: 12 [28672/47500]	Loss: 0.2959	LR: 0.004000
Training Epoch: 12 [28928/47500]	Loss: 0.2900	LR: 0.004000
Training Epoch: 12 [29184/47500]	Loss: 0.2912	LR: 0.004000
Training Epoch: 12 [29440/47500]	Loss: 0.2676	LR: 0.004000
Training Epoch: 12 [29696/47500]	Loss: 0.3158	LR: 0.004000
Training Epoch: 12 [29952/47500]	Loss: 0.3614	LR: 0.004000
Training Epoch: 12 [30208/47500]	Loss: 0.3224	LR: 0.004000
Training Epoch: 12 [30464/47500]	Loss: 0.2774	LR: 0.004000
Training Epoch: 12 [30720/47500]	Loss: 0.3180	LR: 0.004000
Training Epoch: 12 [30976/47500]	Loss: 0.3457	LR: 0.004000
Training Epoch: 12 [31232/47500]	Loss: 0.3404	LR: 0.004000
Training Epoch: 12 [31488/47500]	Loss: 0.2786	LR: 0.004000
Training Epoch: 12 [31744/47500]	Loss: 0.2963	LR: 0.004000
Training Epoch: 12 [32000/47500]	Loss: 0.3067	LR: 0.004000
Training Epoch: 12 [32256/47500]	Loss: 0.3535	LR: 0.004000
Training Epoch: 12 [32512/47500]	Loss: 0.2675	LR: 0.004000
Training Epoch: 12 [32768/47500]	Loss: 0.3075	LR: 0.004000
Training Epoch: 12 [33024/47500]	Loss: 0.2863	LR: 0.004000
Training Epoch: 12 [33280/47500]	Loss: 0.3669	LR: 0.004000
Training Epoch: 12 [33536/47500]	Loss: 0.2710	LR: 0.004000
Training Epoch: 12 [33792/47500]	Loss: 0.2980	LR: 0.004000
Training Epoch: 12 [34048/47500]	Loss: 0.3040	LR: 0.004000
Training Epoch: 12 [34304/47500]	Loss: 0.3275	LR: 0.004000
Training Epoch: 12 [34560/47500]	Loss: 0.4077	LR: 0.004000
Training Epoch: 12 [34816/47500]	Loss: 0.2650	LR: 0.004000
Training Epoch: 12 [35072/47500]	Loss: 0.2559	LR: 0.004000
Training Epoch: 12 [35328/47500]	Loss: 0.2571	LR: 0.004000
Training Epoch: 12 [35584/47500]	Loss: 0.2876	LR: 0.004000
Training Epoch: 12 [35840/47500]	Loss: 0.3331	LR: 0.004000
Training Epoch: 12 [36096/47500]	Loss: 0.3235	LR: 0.004000
Training Epoch: 12 [36352/47500]	Loss: 0.4151	LR: 0.004000
Training Epoch: 12 [36608/47500]	Loss: 0.4377	LR: 0.004000
Training Epoch: 12 [36864/47500]	Loss: 0.3945	LR: 0.004000
Training Epoch: 12 [37120/47500]	Loss: 0.3413	LR: 0.004000
Training Epoch: 12 [37376/47500]	Loss: 0.3377	LR: 0.004000
Training Epoch: 12 [37632/47500]	Loss: 0.2935	LR: 0.004000
Training Epoch: 12 [37888/47500]	Loss: 0.3115	LR: 0.004000
Training Epoch: 12 [38144/47500]	Loss: 0.2811	LR: 0.004000
Training Epoch: 12 [38400/47500]	Loss: 0.2715	LR: 0.004000
Training Epoch: 12 [38656/47500]	Loss: 0.2383	LR: 0.004000
Training Epoch: 12 [38912/47500]	Loss: 0.3616	LR: 0.004000
Training Epoch: 12 [39168/47500]	Loss: 0.2071	LR: 0.004000
Training Epoch: 12 [39424/47500]	Loss: 0.3083	LR: 0.004000
Training Epoch: 12 [39680/47500]	Loss: 0.3209	LR: 0.004000
Training Epoch: 12 [39936/47500]	Loss: 0.3430	LR: 0.004000
Training Epoch: 12 [40192/47500]	Loss: 0.3155	LR: 0.004000
Training Epoch: 12 [40448/47500]	Loss: 0.3857	LR: 0.004000
Training Epoch: 12 [40704/47500]	Loss: 0.3584	LR: 0.004000
Training Epoch: 12 [40960/47500]	Loss: 0.3267	LR: 0.004000
Training Epoch: 12 [41216/47500]	Loss: 0.3284	LR: 0.004000
Training Epoch: 12 [41472/47500]	Loss: 0.2689	LR: 0.004000
Training Epoch: 12 [41728/47500]	Loss: 0.2943	LR: 0.004000
Training Epoch: 12 [41984/47500]	Loss: 0.2511	LR: 0.004000
Training Epoch: 12 [42240/47500]	Loss: 0.3238	LR: 0.004000
Training Epoch: 12 [42496/47500]	Loss: 0.3356	LR: 0.004000
Training Epoch: 12 [42752/47500]	Loss: 0.3641	LR: 0.004000
Training Epoch: 12 [43008/47500]	Loss: 0.3120	LR: 0.004000
Training Epoch: 12 [43264/47500]	Loss: 0.3127	LR: 0.004000
Training Epoch: 12 [43520/47500]	Loss: 0.3588	LR: 0.004000
Training Epoch: 12 [43776/47500]	Loss: 0.3458	LR: 0.004000
Training Epoch: 12 [44032/47500]	Loss: 0.2858	LR: 0.004000
Training Epoch: 12 [44288/47500]	Loss: 0.2681	LR: 0.004000
Training Epoch: 12 [44544/47500]	Loss: 0.3177	LR: 0.004000
Training Epoch: 12 [44800/47500]	Loss: 0.3452	LR: 0.004000
Training Epoch: 12 [45056/47500]	Loss: 0.2768	LR: 0.004000
Training Epoch: 12 [45312/47500]	Loss: 0.2975	LR: 0.004000
Training Epoch: 12 [45568/47500]	Loss: 0.2436	LR: 0.004000
Training Epoch: 12 [45824/47500]	Loss: 0.2968	LR: 0.004000
Training Epoch: 12 [46080/47500]	Loss: 0.2991	LR: 0.004000
Training Epoch: 12 [46336/47500]	Loss: 0.2594	LR: 0.004000
Training Epoch: 12 [46592/47500]	Loss: 0.3222	LR: 0.004000
Training Epoch: 12 [46848/47500]	Loss: 0.3705	LR: 0.004000
Training Epoch: 12 [47104/47500]	Loss: 0.3065	LR: 0.004000
Training Epoch: 12 [47360/47500]	Loss: 0.3747	LR: 0.004000
Training Epoch: 12 [47500/47500]	Loss: 0.2929	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3186, Train Accuracy: 0.8891
Epoch 12 training time consumed: 29.35s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0014, Accuracy: 0.8835, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_09h_43m_21s/ResNet18-Cifar10-seed2-ret50-12-best.pth
Training Epoch: 13 [256/47500]	Loss: 0.3216	LR: 0.004000
Training Epoch: 13 [512/47500]	Loss: 0.3057	LR: 0.004000
Training Epoch: 13 [768/47500]	Loss: 0.3257	LR: 0.004000
Training Epoch: 13 [1024/47500]	Loss: 0.4274	LR: 0.004000
Training Epoch: 13 [1280/47500]	Loss: 0.3287	LR: 0.004000
Training Epoch: 13 [1536/47500]	Loss: 0.2771	LR: 0.004000
Training Epoch: 13 [1792/47500]	Loss: 0.2496	LR: 0.004000
Training Epoch: 13 [2048/47500]	Loss: 0.3370	LR: 0.004000
Training Epoch: 13 [2304/47500]	Loss: 0.3160	LR: 0.004000
Training Epoch: 13 [2560/47500]	Loss: 0.2485	LR: 0.004000
Training Epoch: 13 [2816/47500]	Loss: 0.2546	LR: 0.004000
Training Epoch: 13 [3072/47500]	Loss: 0.2876	LR: 0.004000
Training Epoch: 13 [3328/47500]	Loss: 0.2913	LR: 0.004000
Training Epoch: 13 [3584/47500]	Loss: 0.3078	LR: 0.004000
Training Epoch: 13 [3840/47500]	Loss: 0.2743	LR: 0.004000
Training Epoch: 13 [4096/47500]	Loss: 0.3444	LR: 0.004000
Training Epoch: 13 [4352/47500]	Loss: 0.2970	LR: 0.004000
Training Epoch: 13 [4608/47500]	Loss: 0.3260	LR: 0.004000
Training Epoch: 13 [4864/47500]	Loss: 0.3699	LR: 0.004000
Training Epoch: 13 [5120/47500]	Loss: 0.2910	LR: 0.004000
Training Epoch: 13 [5376/47500]	Loss: 0.3574	LR: 0.004000
Training Epoch: 13 [5632/47500]	Loss: 0.3724	LR: 0.004000
Training Epoch: 13 [5888/47500]	Loss: 0.2735	LR: 0.004000
Training Epoch: 13 [6144/47500]	Loss: 0.2312	LR: 0.004000
Training Epoch: 13 [6400/47500]	Loss: 0.3172	LR: 0.004000
Training Epoch: 13 [6656/47500]	Loss: 0.3734	LR: 0.004000
Training Epoch: 13 [6912/47500]	Loss: 0.3271	LR: 0.004000
Training Epoch: 13 [7168/47500]	Loss: 0.3024	LR: 0.004000
Training Epoch: 13 [7424/47500]	Loss: 0.2465	LR: 0.004000
Training Epoch: 13 [7680/47500]	Loss: 0.3234	LR: 0.004000
Training Epoch: 13 [7936/47500]	Loss: 0.3043	LR: 0.004000
Training Epoch: 13 [8192/47500]	Loss: 0.3199	LR: 0.004000
Training Epoch: 13 [8448/47500]	Loss: 0.3126	LR: 0.004000
Training Epoch: 13 [8704/47500]	Loss: 0.3501	LR: 0.004000
Training Epoch: 13 [8960/47500]	Loss: 0.3084	LR: 0.004000
Training Epoch: 13 [9216/47500]	Loss: 0.2583	LR: 0.004000
Training Epoch: 13 [9472/47500]	Loss: 0.2445	LR: 0.004000
Training Epoch: 13 [9728/47500]	Loss: 0.2757	LR: 0.004000
Training Epoch: 13 [9984/47500]	Loss: 0.2748	LR: 0.004000
Training Epoch: 13 [10240/47500]	Loss: 0.2414	LR: 0.004000
Training Epoch: 13 [10496/47500]	Loss: 0.3027	LR: 0.004000
Training Epoch: 13 [10752/47500]	Loss: 0.3213	LR: 0.004000
Training Epoch: 13 [11008/47500]	Loss: 0.2973	LR: 0.004000
Training Epoch: 13 [11264/47500]	Loss: 0.3035	LR: 0.004000
Training Epoch: 13 [11520/47500]	Loss: 0.2858	LR: 0.004000
Training Epoch: 13 [11776/47500]	Loss: 0.3445	LR: 0.004000
Training Epoch: 13 [12032/47500]	Loss: 0.3199	LR: 0.004000
Training Epoch: 13 [12288/47500]	Loss: 0.3180	LR: 0.004000
Training Epoch: 13 [12544/47500]	Loss: 0.3140	LR: 0.004000
Training Epoch: 13 [12800/47500]	Loss: 0.2722	LR: 0.004000
Training Epoch: 13 [13056/47500]	Loss: 0.3182	LR: 0.004000
Training Epoch: 13 [13312/47500]	Loss: 0.3200	LR: 0.004000
Training Epoch: 13 [13568/47500]	Loss: 0.2807	LR: 0.004000
Training Epoch: 13 [13824/47500]	Loss: 0.2459	LR: 0.004000
Training Epoch: 13 [14080/47500]	Loss: 0.3124	LR: 0.004000
Training Epoch: 13 [14336/47500]	Loss: 0.2701	LR: 0.004000
Training Epoch: 13 [14592/47500]	Loss: 0.2678	LR: 0.004000
Training Epoch: 13 [14848/47500]	Loss: 0.3410	LR: 0.004000
Training Epoch: 13 [15104/47500]	Loss: 0.2626	LR: 0.004000
Training Epoch: 13 [15360/47500]	Loss: 0.3159	LR: 0.004000
Training Epoch: 13 [15616/47500]	Loss: 0.3267	LR: 0.004000
Training Epoch: 13 [15872/47500]	Loss: 0.2416	LR: 0.004000
Training Epoch: 13 [16128/47500]	Loss: 0.3378	LR: 0.004000
Training Epoch: 13 [16384/47500]	Loss: 0.3918	LR: 0.004000
Training Epoch: 13 [16640/47500]	Loss: 0.3335	LR: 0.004000
Training Epoch: 13 [16896/47500]	Loss: 0.3204	LR: 0.004000
Training Epoch: 13 [17152/47500]	Loss: 0.2939	LR: 0.004000
Training Epoch: 13 [17408/47500]	Loss: 0.3967	LR: 0.004000
Training Epoch: 13 [17664/47500]	Loss: 0.3415	LR: 0.004000
Training Epoch: 13 [17920/47500]	Loss: 0.2385	LR: 0.004000
Training Epoch: 13 [18176/47500]	Loss: 0.3702	LR: 0.004000
Training Epoch: 13 [18432/47500]	Loss: 0.3408	LR: 0.004000
Training Epoch: 13 [18688/47500]	Loss: 0.3919	LR: 0.004000
Training Epoch: 13 [18944/47500]	Loss: 0.2826	LR: 0.004000
Training Epoch: 13 [19200/47500]	Loss: 0.3399	LR: 0.004000
Training Epoch: 13 [19456/47500]	Loss: 0.3292	LR: 0.004000
Training Epoch: 13 [19712/47500]	Loss: 0.3352	LR: 0.004000
Training Epoch: 13 [19968/47500]	Loss: 0.3243	LR: 0.004000
Training Epoch: 13 [20224/47500]	Loss: 0.2969	LR: 0.004000
Training Epoch: 13 [20480/47500]	Loss: 0.2322	LR: 0.004000
Training Epoch: 13 [20736/47500]	Loss: 0.2791	LR: 0.004000
Training Epoch: 13 [20992/47500]	Loss: 0.2989	LR: 0.004000
Training Epoch: 13 [21248/47500]	Loss: 0.3575	LR: 0.004000
Training Epoch: 13 [21504/47500]	Loss: 0.2994	LR: 0.004000
Training Epoch: 13 [21760/47500]	Loss: 0.2783	LR: 0.004000
Training Epoch: 13 [22016/47500]	Loss: 0.3863	LR: 0.004000
Training Epoch: 13 [22272/47500]	Loss: 0.2971	LR: 0.004000
Training Epoch: 13 [22528/47500]	Loss: 0.3726	LR: 0.004000
Training Epoch: 13 [22784/47500]	Loss: 0.3144	LR: 0.004000
Training Epoch: 13 [23040/47500]	Loss: 0.3790	LR: 0.004000
Training Epoch: 13 [23296/47500]	Loss: 0.3415	LR: 0.004000
Training Epoch: 13 [23552/47500]	Loss: 0.2680	LR: 0.004000
Training Epoch: 13 [23808/47500]	Loss: 0.2930	LR: 0.004000
Training Epoch: 13 [24064/47500]	Loss: 0.2475	LR: 0.004000
Training Epoch: 13 [24320/47500]	Loss: 0.2570	LR: 0.004000
Training Epoch: 13 [24576/47500]	Loss: 0.2342	LR: 0.004000
Training Epoch: 13 [24832/47500]	Loss: 0.3232	LR: 0.004000
Training Epoch: 13 [25088/47500]	Loss: 0.2921	LR: 0.004000
Training Epoch: 13 [25344/47500]	Loss: 0.3231	LR: 0.004000
Training Epoch: 13 [25600/47500]	Loss: 0.3006	LR: 0.004000
Training Epoch: 13 [25856/47500]	Loss: 0.2954	LR: 0.004000
Training Epoch: 13 [26112/47500]	Loss: 0.2901	LR: 0.004000
Training Epoch: 13 [26368/47500]	Loss: 0.2920	LR: 0.004000
Training Epoch: 13 [26624/47500]	Loss: 0.2959	LR: 0.004000
Training Epoch: 13 [26880/47500]	Loss: 0.2198	LR: 0.004000
Training Epoch: 13 [27136/47500]	Loss: 0.2519	LR: 0.004000
Training Epoch: 13 [27392/47500]	Loss: 0.3003	LR: 0.004000
Training Epoch: 13 [27648/47500]	Loss: 0.2691	LR: 0.004000
Training Epoch: 13 [27904/47500]	Loss: 0.2816	LR: 0.004000
Training Epoch: 13 [28160/47500]	Loss: 0.2298	LR: 0.004000
Training Epoch: 13 [28416/47500]	Loss: 0.3280	LR: 0.004000
Training Epoch: 13 [28672/47500]	Loss: 0.3368	LR: 0.004000
Training Epoch: 13 [28928/47500]	Loss: 0.2965	LR: 0.004000
Training Epoch: 13 [29184/47500]	Loss: 0.2964	LR: 0.004000
Training Epoch: 13 [29440/47500]	Loss: 0.2720	LR: 0.004000
Training Epoch: 13 [29696/47500]	Loss: 0.3723	LR: 0.004000
Training Epoch: 13 [29952/47500]	Loss: 0.3397	LR: 0.004000
Training Epoch: 13 [30208/47500]	Loss: 0.2878	LR: 0.004000
Training Epoch: 13 [30464/47500]	Loss: 0.3280	LR: 0.004000
Training Epoch: 13 [30720/47500]	Loss: 0.2826	LR: 0.004000
Training Epoch: 13 [30976/47500]	Loss: 0.3197	LR: 0.004000
Training Epoch: 13 [31232/47500]	Loss: 0.2850	LR: 0.004000
Training Epoch: 13 [31488/47500]	Loss: 0.3664	LR: 0.004000
Training Epoch: 13 [31744/47500]	Loss: 0.2775	LR: 0.004000
Training Epoch: 13 [32000/47500]	Loss: 0.2586	LR: 0.004000
Training Epoch: 13 [32256/47500]	Loss: 0.2886	LR: 0.004000
Training Epoch: 13 [32512/47500]	Loss: 0.2912	LR: 0.004000
Training Epoch: 13 [32768/47500]	Loss: 0.3089	LR: 0.004000
Training Epoch: 13 [33024/47500]	Loss: 0.2376	LR: 0.004000
Training Epoch: 13 [33280/47500]	Loss: 0.3516	LR: 0.004000
Training Epoch: 13 [33536/47500]	Loss: 0.2981	LR: 0.004000
Training Epoch: 13 [33792/47500]	Loss: 0.2640	LR: 0.004000
Training Epoch: 13 [34048/47500]	Loss: 0.2428	LR: 0.004000
Training Epoch: 13 [34304/47500]	Loss: 0.2768	LR: 0.004000
Training Epoch: 13 [34560/47500]	Loss: 0.3018	LR: 0.004000
Training Epoch: 13 [34816/47500]	Loss: 0.3884	LR: 0.004000
Training Epoch: 13 [35072/47500]	Loss: 0.3246	LR: 0.004000
Training Epoch: 13 [35328/47500]	Loss: 0.2524	LR: 0.004000
Training Epoch: 13 [35584/47500]	Loss: 0.2401	LR: 0.004000
Training Epoch: 13 [35840/47500]	Loss: 0.3177	LR: 0.004000
Training Epoch: 13 [36096/47500]	Loss: 0.3425	LR: 0.004000
Training Epoch: 13 [36352/47500]	Loss: 0.3654	LR: 0.004000
Training Epoch: 13 [36608/47500]	Loss: 0.2181	LR: 0.004000
Training Epoch: 13 [36864/47500]	Loss: 0.2706	LR: 0.004000
Training Epoch: 13 [37120/47500]	Loss: 0.4160	LR: 0.004000
Training Epoch: 13 [37376/47500]	Loss: 0.3188	LR: 0.004000
Training Epoch: 13 [37632/47500]	Loss: 0.2827	LR: 0.004000
Training Epoch: 13 [37888/47500]	Loss: 0.2993	LR: 0.004000
Training Epoch: 13 [38144/47500]	Loss: 0.2783	LR: 0.004000
Training Epoch: 13 [38400/47500]	Loss: 0.3490	LR: 0.004000
Training Epoch: 13 [38656/47500]	Loss: 0.2534	LR: 0.004000
Training Epoch: 13 [38912/47500]	Loss: 0.3083	LR: 0.004000
Training Epoch: 13 [39168/47500]	Loss: 0.3502	LR: 0.004000
Training Epoch: 13 [39424/47500]	Loss: 0.3356	LR: 0.004000
Training Epoch: 13 [39680/47500]	Loss: 0.2253	LR: 0.004000
Training Epoch: 13 [39936/47500]	Loss: 0.2877	LR: 0.004000
Training Epoch: 13 [40192/47500]	Loss: 0.2950	LR: 0.004000
Training Epoch: 13 [40448/47500]	Loss: 0.2815	LR: 0.004000
Training Epoch: 13 [40704/47500]	Loss: 0.3679	LR: 0.004000
Training Epoch: 13 [40960/47500]	Loss: 0.3017	LR: 0.004000
Training Epoch: 13 [41216/47500]	Loss: 0.3060	LR: 0.004000
Training Epoch: 13 [41472/47500]	Loss: 0.2850	LR: 0.004000
Training Epoch: 13 [41728/47500]	Loss: 0.3070	LR: 0.004000
Training Epoch: 13 [41984/47500]	Loss: 0.2997	LR: 0.004000
Training Epoch: 13 [42240/47500]	Loss: 0.2633	LR: 0.004000
Training Epoch: 13 [42496/47500]	Loss: 0.2973	LR: 0.004000
Training Epoch: 13 [42752/47500]	Loss: 0.2936	LR: 0.004000
Training Epoch: 13 [43008/47500]	Loss: 0.3215	LR: 0.004000
Training Epoch: 13 [43264/47500]	Loss: 0.3312	LR: 0.004000
Training Epoch: 13 [43520/47500]	Loss: 0.3020	LR: 0.004000
Training Epoch: 13 [43776/47500]	Loss: 0.3961	LR: 0.004000
Training Epoch: 13 [44032/47500]	Loss: 0.2187	LR: 0.004000
Training Epoch: 13 [44288/47500]	Loss: 0.2917	LR: 0.004000
Training Epoch: 13 [44544/47500]	Loss: 0.2713	LR: 0.004000
Training Epoch: 13 [44800/47500]	Loss: 0.3411	LR: 0.004000
Training Epoch: 13 [45056/47500]	Loss: 0.2729	LR: 0.004000
Training Epoch: 13 [45312/47500]	Loss: 0.2746	LR: 0.004000
Training Epoch: 13 [45568/47500]	Loss: 0.2776	LR: 0.004000
Training Epoch: 13 [45824/47500]	Loss: 0.2205	LR: 0.004000
Training Epoch: 13 [46080/47500]	Loss: 0.3379	LR: 0.004000
Training Epoch: 13 [46336/47500]	Loss: 0.2851	LR: 0.004000
Training Epoch: 13 [46592/47500]	Loss: 0.2311	LR: 0.004000
Training Epoch: 13 [46848/47500]	Loss: 0.3170	LR: 0.004000
Training Epoch: 13 [47104/47500]	Loss: 0.3052	LR: 0.004000
Training Epoch: 13 [47360/47500]	Loss: 0.2947	LR: 0.004000
Training Epoch: 13 [47500/47500]	Loss: 0.2707	LR: 0.004000
Epoch 13 - Average Train Loss: 0.3030, Train Accuracy: 0.8931
Epoch 13 training time consumed: 29.36s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0014, Accuracy: 0.8856, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_09h_43m_21s/ResNet18-Cifar10-seed2-ret50-13-best.pth
Training Epoch: 14 [256/47500]	Loss: 0.2881	LR: 0.004000
Training Epoch: 14 [512/47500]	Loss: 0.2679	LR: 0.004000
Training Epoch: 14 [768/47500]	Loss: 0.3308	LR: 0.004000
Training Epoch: 14 [1024/47500]	Loss: 0.2684	LR: 0.004000
Training Epoch: 14 [1280/47500]	Loss: 0.2931	LR: 0.004000
Training Epoch: 14 [1536/47500]	Loss: 0.2398	LR: 0.004000
Training Epoch: 14 [1792/47500]	Loss: 0.2556	LR: 0.004000
Training Epoch: 14 [2048/47500]	Loss: 0.2475	LR: 0.004000
Training Epoch: 14 [2304/47500]	Loss: 0.3537	LR: 0.004000
Training Epoch: 14 [2560/47500]	Loss: 0.3155	LR: 0.004000
Training Epoch: 14 [2816/47500]	Loss: 0.2855	LR: 0.004000
Training Epoch: 14 [3072/47500]	Loss: 0.2727	LR: 0.004000
Training Epoch: 14 [3328/47500]	Loss: 0.3476	LR: 0.004000
Training Epoch: 14 [3584/47500]	Loss: 0.2605	LR: 0.004000
Training Epoch: 14 [3840/47500]	Loss: 0.3553	LR: 0.004000
Training Epoch: 14 [4096/47500]	Loss: 0.2997	LR: 0.004000
Training Epoch: 14 [4352/47500]	Loss: 0.3042	LR: 0.004000
Training Epoch: 14 [4608/47500]	Loss: 0.2694	LR: 0.004000
Training Epoch: 14 [4864/47500]	Loss: 0.3488	LR: 0.004000
Training Epoch: 14 [5120/47500]	Loss: 0.2773	LR: 0.004000
Training Epoch: 14 [5376/47500]	Loss: 0.2386	LR: 0.004000
Training Epoch: 14 [5632/47500]	Loss: 0.3016	LR: 0.004000
Training Epoch: 14 [5888/47500]	Loss: 0.2680	LR: 0.004000
Training Epoch: 14 [6144/47500]	Loss: 0.2340	LR: 0.004000
Training Epoch: 14 [6400/47500]	Loss: 0.2790	LR: 0.004000
Training Epoch: 14 [6656/47500]	Loss: 0.3534	LR: 0.004000
Training Epoch: 14 [6912/47500]	Loss: 0.2961	LR: 0.004000
Training Epoch: 14 [7168/47500]	Loss: 0.2725	LR: 0.004000
Training Epoch: 14 [7424/47500]	Loss: 0.2912	LR: 0.004000
Training Epoch: 14 [7680/47500]	Loss: 0.2059	LR: 0.004000
Training Epoch: 14 [7936/47500]	Loss: 0.2867	LR: 0.004000
Training Epoch: 14 [8192/47500]	Loss: 0.3190	LR: 0.004000
Training Epoch: 14 [8448/47500]	Loss: 0.2611	LR: 0.004000
Training Epoch: 14 [8704/47500]	Loss: 0.2870	LR: 0.004000
Training Epoch: 14 [8960/47500]	Loss: 0.2838	LR: 0.004000
Training Epoch: 14 [9216/47500]	Loss: 0.3808	LR: 0.004000
Training Epoch: 14 [9472/47500]	Loss: 0.2864	LR: 0.004000
Training Epoch: 14 [9728/47500]	Loss: 0.2830	LR: 0.004000
Training Epoch: 14 [9984/47500]	Loss: 0.2930	LR: 0.004000
Training Epoch: 14 [10240/47500]	Loss: 0.2326	LR: 0.004000
Training Epoch: 14 [10496/47500]	Loss: 0.3087	LR: 0.004000
Training Epoch: 14 [10752/47500]	Loss: 0.3434	LR: 0.004000
Training Epoch: 14 [11008/47500]	Loss: 0.3658	LR: 0.004000
Training Epoch: 14 [11264/47500]	Loss: 0.2453	LR: 0.004000
Training Epoch: 14 [11520/47500]	Loss: 0.3012	LR: 0.004000
Training Epoch: 14 [11776/47500]	Loss: 0.2777	LR: 0.004000
Training Epoch: 14 [12032/47500]	Loss: 0.3472	LR: 0.004000
Training Epoch: 14 [12288/47500]	Loss: 0.2979	LR: 0.004000
Training Epoch: 14 [12544/47500]	Loss: 0.3121	LR: 0.004000
Training Epoch: 14 [12800/47500]	Loss: 0.2869	LR: 0.004000
Training Epoch: 14 [13056/47500]	Loss: 0.3478	LR: 0.004000
Training Epoch: 14 [13312/47500]	Loss: 0.2677	LR: 0.004000
Training Epoch: 14 [13568/47500]	Loss: 0.3412	LR: 0.004000
Training Epoch: 14 [13824/47500]	Loss: 0.2722	LR: 0.004000
Training Epoch: 14 [14080/47500]	Loss: 0.2877	LR: 0.004000
Training Epoch: 14 [14336/47500]	Loss: 0.2865	LR: 0.004000
Training Epoch: 14 [14592/47500]	Loss: 0.3886	LR: 0.004000
Training Epoch: 14 [14848/47500]	Loss: 0.2938	LR: 0.004000
Training Epoch: 14 [15104/47500]	Loss: 0.3258	LR: 0.004000
Training Epoch: 14 [15360/47500]	Loss: 0.2481	LR: 0.004000
Training Epoch: 14 [15616/47500]	Loss: 0.3405	LR: 0.004000
Training Epoch: 14 [15872/47500]	Loss: 0.3532	LR: 0.004000
Training Epoch: 14 [16128/47500]	Loss: 0.3517	LR: 0.004000
Training Epoch: 14 [16384/47500]	Loss: 0.2606	LR: 0.004000
Training Epoch: 14 [16640/47500]	Loss: 0.3039	LR: 0.004000
Training Epoch: 14 [16896/47500]	Loss: 0.2775	LR: 0.004000
Training Epoch: 14 [17152/47500]	Loss: 0.2158	LR: 0.004000
Training Epoch: 14 [17408/47500]	Loss: 0.2619	LR: 0.004000
Training Epoch: 14 [17664/47500]	Loss: 0.2797	LR: 0.004000
Training Epoch: 14 [17920/47500]	Loss: 0.2690	LR: 0.004000
Training Epoch: 14 [18176/47500]	Loss: 0.2656	LR: 0.004000
Training Epoch: 14 [18432/47500]	Loss: 0.2614	LR: 0.004000
Training Epoch: 14 [18688/47500]	Loss: 0.2612	LR: 0.004000
Training Epoch: 14 [18944/47500]	Loss: 0.3557	LR: 0.004000
Training Epoch: 14 [19200/47500]	Loss: 0.3292	LR: 0.004000
Training Epoch: 14 [19456/47500]	Loss: 0.3183	LR: 0.004000
Training Epoch: 14 [19712/47500]	Loss: 0.2970	LR: 0.004000
Training Epoch: 14 [19968/47500]	Loss: 0.3025	LR: 0.004000
Training Epoch: 14 [20224/47500]	Loss: 0.3985	LR: 0.004000
Training Epoch: 14 [20480/47500]	Loss: 0.2544	LR: 0.004000
Training Epoch: 14 [20736/47500]	Loss: 0.2502	LR: 0.004000
Training Epoch: 14 [20992/47500]	Loss: 0.3106	LR: 0.004000
Training Epoch: 14 [21248/47500]	Loss: 0.2309	LR: 0.004000
Training Epoch: 14 [21504/47500]	Loss: 0.3198	LR: 0.004000
Training Epoch: 14 [21760/47500]	Loss: 0.3746	LR: 0.004000
Training Epoch: 14 [22016/47500]	Loss: 0.2851	LR: 0.004000
Training Epoch: 14 [22272/47500]	Loss: 0.4248	LR: 0.004000
Training Epoch: 14 [22528/47500]	Loss: 0.2406	LR: 0.004000
Training Epoch: 14 [22784/47500]	Loss: 0.2786	LR: 0.004000
Training Epoch: 14 [23040/47500]	Loss: 0.3415	LR: 0.004000
Training Epoch: 14 [23296/47500]	Loss: 0.3315	LR: 0.004000
Training Epoch: 14 [23552/47500]	Loss: 0.3276	LR: 0.004000
Training Epoch: 14 [23808/47500]	Loss: 0.3721	LR: 0.004000
Training Epoch: 14 [24064/47500]	Loss: 0.3645	LR: 0.004000
Training Epoch: 14 [24320/47500]	Loss: 0.2568	LR: 0.004000
Training Epoch: 14 [24576/47500]	Loss: 0.3954	LR: 0.004000
Training Epoch: 14 [24832/47500]	Loss: 0.2480	LR: 0.004000
Training Epoch: 14 [25088/47500]	Loss: 0.3106	LR: 0.004000
Training Epoch: 14 [25344/47500]	Loss: 0.2872	LR: 0.004000
Training Epoch: 14 [25600/47500]	Loss: 0.3083	LR: 0.004000
Training Epoch: 14 [25856/47500]	Loss: 0.2525	LR: 0.004000
Training Epoch: 14 [26112/47500]	Loss: 0.2994	LR: 0.004000
Training Epoch: 14 [26368/47500]	Loss: 0.2187	LR: 0.004000
Training Epoch: 14 [26624/47500]	Loss: 0.3264	LR: 0.004000
Training Epoch: 14 [26880/47500]	Loss: 0.3375	LR: 0.004000
Training Epoch: 14 [27136/47500]	Loss: 0.3014	LR: 0.004000
Training Epoch: 14 [27392/47500]	Loss: 0.3027	LR: 0.004000
Training Epoch: 14 [27648/47500]	Loss: 0.3036	LR: 0.004000
Training Epoch: 14 [27904/47500]	Loss: 0.3394	LR: 0.004000
Training Epoch: 14 [28160/47500]	Loss: 0.2444	LR: 0.004000
Training Epoch: 14 [28416/47500]	Loss: 0.2210	LR: 0.004000
Training Epoch: 14 [28672/47500]	Loss: 0.2740	LR: 0.004000
Training Epoch: 14 [28928/47500]	Loss: 0.3160	LR: 0.004000
Training Epoch: 14 [29184/47500]	Loss: 0.3331	LR: 0.004000
Training Epoch: 14 [29440/47500]	Loss: 0.3159	LR: 0.004000
Training Epoch: 14 [29696/47500]	Loss: 0.2922	LR: 0.004000
Training Epoch: 14 [29952/47500]	Loss: 0.3656	LR: 0.004000
Training Epoch: 14 [30208/47500]	Loss: 0.2824	LR: 0.004000
Training Epoch: 14 [30464/47500]	Loss: 0.2869	LR: 0.004000
Training Epoch: 14 [30720/47500]	Loss: 0.2435	LR: 0.004000
Training Epoch: 14 [30976/47500]	Loss: 0.3246	LR: 0.004000
Training Epoch: 14 [31232/47500]	Loss: 0.2780	LR: 0.004000
Training Epoch: 14 [31488/47500]	Loss: 0.2605	LR: 0.004000
Training Epoch: 14 [31744/47500]	Loss: 0.3294	LR: 0.004000
Training Epoch: 14 [32000/47500]	Loss: 0.3857	LR: 0.004000
Training Epoch: 14 [32256/47500]	Loss: 0.3107	LR: 0.004000
Training Epoch: 14 [32512/47500]	Loss: 0.2756	LR: 0.004000
Training Epoch: 14 [32768/47500]	Loss: 0.2689	LR: 0.004000
Training Epoch: 14 [33024/47500]	Loss: 0.2904	LR: 0.004000
Training Epoch: 14 [33280/47500]	Loss: 0.3348	LR: 0.004000
Training Epoch: 14 [33536/47500]	Loss: 0.2669	LR: 0.004000
Training Epoch: 14 [33792/47500]	Loss: 0.2765	LR: 0.004000
Training Epoch: 14 [34048/47500]	Loss: 0.3337	LR: 0.004000
Training Epoch: 14 [34304/47500]	Loss: 0.2830	LR: 0.004000
Training Epoch: 14 [34560/47500]	Loss: 0.3377	LR: 0.004000
Training Epoch: 14 [34816/47500]	Loss: 0.3307	LR: 0.004000
Training Epoch: 14 [35072/47500]	Loss: 0.2120	LR: 0.004000
Training Epoch: 14 [35328/47500]	Loss: 0.2214	LR: 0.004000
Training Epoch: 14 [35584/47500]	Loss: 0.3261	LR: 0.004000
Training Epoch: 14 [35840/47500]	Loss: 0.3581	LR: 0.004000
Training Epoch: 14 [36096/47500]	Loss: 0.2863	LR: 0.004000
Training Epoch: 14 [36352/47500]	Loss: 0.2901	LR: 0.004000
Training Epoch: 14 [36608/47500]	Loss: 0.2064	LR: 0.004000
Training Epoch: 14 [36864/47500]	Loss: 0.3022	LR: 0.004000
Training Epoch: 14 [37120/47500]	Loss: 0.3292	LR: 0.004000
Training Epoch: 14 [37376/47500]	Loss: 0.2716	LR: 0.004000
Training Epoch: 14 [37632/47500]	Loss: 0.3068	LR: 0.004000
Training Epoch: 14 [37888/47500]	Loss: 0.3106	LR: 0.004000
Training Epoch: 14 [38144/47500]	Loss: 0.2889	LR: 0.004000
Training Epoch: 14 [38400/47500]	Loss: 0.2406	LR: 0.004000
Training Epoch: 14 [38656/47500]	Loss: 0.2688	LR: 0.004000
Training Epoch: 14 [38912/47500]	Loss: 0.2528	LR: 0.004000
Training Epoch: 14 [39168/47500]	Loss: 0.2252	LR: 0.004000
Training Epoch: 14 [39424/47500]	Loss: 0.3019	LR: 0.004000
Training Epoch: 14 [39680/47500]	Loss: 0.3689	LR: 0.004000
Training Epoch: 14 [39936/47500]	Loss: 0.2907	LR: 0.004000
Training Epoch: 14 [40192/47500]	Loss: 0.2812	LR: 0.004000
Training Epoch: 14 [40448/47500]	Loss: 0.3061	LR: 0.004000
Training Epoch: 14 [40704/47500]	Loss: 0.3550	LR: 0.004000
Training Epoch: 14 [40960/47500]	Loss: 0.3319	LR: 0.004000
Training Epoch: 14 [41216/47500]	Loss: 0.3617	LR: 0.004000
Training Epoch: 14 [41472/47500]	Loss: 0.3341	LR: 0.004000
Training Epoch: 14 [41728/47500]	Loss: 0.2888	LR: 0.004000
Training Epoch: 14 [41984/47500]	Loss: 0.3385	LR: 0.004000
Training Epoch: 14 [42240/47500]	Loss: 0.3020	LR: 0.004000
Training Epoch: 14 [42496/47500]	Loss: 0.3299	LR: 0.004000
Training Epoch: 14 [42752/47500]	Loss: 0.3173	LR: 0.004000
Training Epoch: 14 [43008/47500]	Loss: 0.2790	LR: 0.004000
Training Epoch: 14 [43264/47500]	Loss: 0.3042	LR: 0.004000
Training Epoch: 14 [43520/47500]	Loss: 0.3170	LR: 0.004000
Training Epoch: 14 [43776/47500]	Loss: 0.2927	LR: 0.004000
Training Epoch: 14 [44032/47500]	Loss: 0.3163	LR: 0.004000
Training Epoch: 14 [44288/47500]	Loss: 0.2186	LR: 0.004000
Training Epoch: 14 [44544/47500]	Loss: 0.2728	LR: 0.004000
Training Epoch: 14 [44800/47500]	Loss: 0.2652	LR: 0.004000
Training Epoch: 14 [45056/47500]	Loss: 0.2477	LR: 0.004000
Training Epoch: 14 [45312/47500]	Loss: 0.3361	LR: 0.004000
Training Epoch: 14 [45568/47500]	Loss: 0.2495	LR: 0.004000
Training Epoch: 14 [45824/47500]	Loss: 0.2637	LR: 0.004000
Training Epoch: 14 [46080/47500]	Loss: 0.3117	LR: 0.004000
Training Epoch: 14 [46336/47500]	Loss: 0.2376	LR: 0.004000
Training Epoch: 14 [46592/47500]	Loss: 0.3237	LR: 0.004000
Training Epoch: 14 [46848/47500]	Loss: 0.4855	LR: 0.004000
Training Epoch: 14 [47104/47500]	Loss: 0.3154	LR: 0.004000
Training Epoch: 14 [47360/47500]	Loss: 0.2939	LR: 0.004000
Training Epoch: 14 [47500/47500]	Loss: 0.4685	LR: 0.004000
Epoch 14 - Average Train Loss: 0.2988, Train Accuracy: 0.8963
Epoch 14 training time consumed: 29.30s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0014, Accuracy: 0.8810, Time consumed:0.92s
Training Epoch: 15 [256/47500]	Loss: 0.2454	LR: 0.004000
Training Epoch: 15 [512/47500]	Loss: 0.2938	LR: 0.004000
Training Epoch: 15 [768/47500]	Loss: 0.2771	LR: 0.004000
Training Epoch: 15 [1024/47500]	Loss: 0.2860	LR: 0.004000
Training Epoch: 15 [1280/47500]	Loss: 0.3007	LR: 0.004000
Training Epoch: 15 [1536/47500]	Loss: 0.2577	LR: 0.004000
Training Epoch: 15 [1792/47500]	Loss: 0.2754	LR: 0.004000
Training Epoch: 15 [2048/47500]	Loss: 0.2857	LR: 0.004000
Training Epoch: 15 [2304/47500]	Loss: 0.3443	LR: 0.004000
Training Epoch: 15 [2560/47500]	Loss: 0.3263	LR: 0.004000
Training Epoch: 15 [2816/47500]	Loss: 0.2549	LR: 0.004000
Training Epoch: 15 [3072/47500]	Loss: 0.2836	LR: 0.004000
Training Epoch: 15 [3328/47500]	Loss: 0.3114	LR: 0.004000
Training Epoch: 15 [3584/47500]	Loss: 0.2837	LR: 0.004000
Training Epoch: 15 [3840/47500]	Loss: 0.2477	LR: 0.004000
Training Epoch: 15 [4096/47500]	Loss: 0.2961	LR: 0.004000
Training Epoch: 15 [4352/47500]	Loss: 0.2836	LR: 0.004000
Training Epoch: 15 [4608/47500]	Loss: 0.2839	LR: 0.004000
Training Epoch: 15 [4864/47500]	Loss: 0.2478	LR: 0.004000
Training Epoch: 15 [5120/47500]	Loss: 0.2476	LR: 0.004000
Training Epoch: 15 [5376/47500]	Loss: 0.3831	LR: 0.004000
Training Epoch: 15 [5632/47500]	Loss: 0.3445	LR: 0.004000
Training Epoch: 15 [5888/47500]	Loss: 0.3496	LR: 0.004000
Training Epoch: 15 [6144/47500]	Loss: 0.2557	LR: 0.004000
Training Epoch: 15 [6400/47500]	Loss: 0.2949	LR: 0.004000
Training Epoch: 15 [6656/47500]	Loss: 0.3253	LR: 0.004000
Training Epoch: 15 [6912/47500]	Loss: 0.2598	LR: 0.004000
Training Epoch: 15 [7168/47500]	Loss: 0.2909	LR: 0.004000
Training Epoch: 15 [7424/47500]	Loss: 0.3332	LR: 0.004000
Training Epoch: 15 [7680/47500]	Loss: 0.3374	LR: 0.004000
Training Epoch: 15 [7936/47500]	Loss: 0.2840	LR: 0.004000
Training Epoch: 15 [8192/47500]	Loss: 0.3362	LR: 0.004000
Training Epoch: 15 [8448/47500]	Loss: 0.2791	LR: 0.004000
Training Epoch: 15 [8704/47500]	Loss: 0.3307	LR: 0.004000
Training Epoch: 15 [8960/47500]	Loss: 0.2157	LR: 0.004000
Training Epoch: 15 [9216/47500]	Loss: 0.2578	LR: 0.004000
Training Epoch: 15 [9472/47500]	Loss: 0.2541	LR: 0.004000
Training Epoch: 15 [9728/47500]	Loss: 0.2484	LR: 0.004000
Training Epoch: 15 [9984/47500]	Loss: 0.2294	LR: 0.004000
Training Epoch: 15 [10240/47500]	Loss: 0.2240	LR: 0.004000
Training Epoch: 15 [10496/47500]	Loss: 0.3097	LR: 0.004000
Training Epoch: 15 [10752/47500]	Loss: 0.2507	LR: 0.004000
Training Epoch: 15 [11008/47500]	Loss: 0.2945	LR: 0.004000
Training Epoch: 15 [11264/47500]	Loss: 0.2369	LR: 0.004000
Training Epoch: 15 [11520/47500]	Loss: 0.2261	LR: 0.004000
Training Epoch: 15 [11776/47500]	Loss: 0.2640	LR: 0.004000
Training Epoch: 15 [12032/47500]	Loss: 0.2853	LR: 0.004000
Training Epoch: 15 [12288/47500]	Loss: 0.2897	LR: 0.004000
Training Epoch: 15 [12544/47500]	Loss: 0.2221	LR: 0.004000
Training Epoch: 15 [12800/47500]	Loss: 0.2927	LR: 0.004000
Training Epoch: 15 [13056/47500]	Loss: 0.2807	LR: 0.004000
Training Epoch: 15 [13312/47500]	Loss: 0.3115	LR: 0.004000
Training Epoch: 15 [13568/47500]	Loss: 0.2806	LR: 0.004000
Training Epoch: 15 [13824/47500]	Loss: 0.3205	LR: 0.004000
Training Epoch: 15 [14080/47500]	Loss: 0.3265	LR: 0.004000
Training Epoch: 15 [14336/47500]	Loss: 0.2310	LR: 0.004000
Training Epoch: 15 [14592/47500]	Loss: 0.2941	LR: 0.004000
Training Epoch: 15 [14848/47500]	Loss: 0.3217	LR: 0.004000
Training Epoch: 15 [15104/47500]	Loss: 0.3264	LR: 0.004000
Training Epoch: 15 [15360/47500]	Loss: 0.2679	LR: 0.004000
Training Epoch: 15 [15616/47500]	Loss: 0.2729	LR: 0.004000
Training Epoch: 15 [15872/47500]	Loss: 0.3108	LR: 0.004000
Training Epoch: 15 [16128/47500]	Loss: 0.3135	LR: 0.004000
Training Epoch: 15 [16384/47500]	Loss: 0.3146	LR: 0.004000
Training Epoch: 15 [16640/47500]	Loss: 0.2818	LR: 0.004000
Training Epoch: 15 [16896/47500]	Loss: 0.2311	LR: 0.004000
Training Epoch: 15 [17152/47500]	Loss: 0.2002	LR: 0.004000
Training Epoch: 15 [17408/47500]	Loss: 0.3693	LR: 0.004000
Training Epoch: 15 [17664/47500]	Loss: 0.3088	LR: 0.004000
Training Epoch: 15 [17920/47500]	Loss: 0.2998	LR: 0.004000
Training Epoch: 15 [18176/47500]	Loss: 0.3333	LR: 0.004000
Training Epoch: 15 [18432/47500]	Loss: 0.3220	LR: 0.004000
Training Epoch: 15 [18688/47500]	Loss: 0.2696	LR: 0.004000
Training Epoch: 15 [18944/47500]	Loss: 0.3350	LR: 0.004000
Training Epoch: 15 [19200/47500]	Loss: 0.2876	LR: 0.004000
Training Epoch: 15 [19456/47500]	Loss: 0.2763	LR: 0.004000
Training Epoch: 15 [19712/47500]	Loss: 0.3519	LR: 0.004000
Training Epoch: 15 [19968/47500]	Loss: 0.2905	LR: 0.004000
Training Epoch: 15 [20224/47500]	Loss: 0.3080	LR: 0.004000
Training Epoch: 15 [20480/47500]	Loss: 0.3509	LR: 0.004000
Training Epoch: 15 [20736/47500]	Loss: 0.3236	LR: 0.004000
Training Epoch: 15 [20992/47500]	Loss: 0.2583	LR: 0.004000
Training Epoch: 15 [21248/47500]	Loss: 0.3573	LR: 0.004000
Training Epoch: 15 [21504/47500]	Loss: 0.2666	LR: 0.004000
Training Epoch: 15 [21760/47500]	Loss: 0.3282	LR: 0.004000
Training Epoch: 15 [22016/47500]	Loss: 0.3023	LR: 0.004000
Training Epoch: 15 [22272/47500]	Loss: 0.3117	LR: 0.004000
Training Epoch: 15 [22528/47500]	Loss: 0.3835	LR: 0.004000
Training Epoch: 15 [22784/47500]	Loss: 0.2494	LR: 0.004000
Training Epoch: 15 [23040/47500]	Loss: 0.2640	LR: 0.004000
Training Epoch: 15 [23296/47500]	Loss: 0.2938	LR: 0.004000
Training Epoch: 15 [23552/47500]	Loss: 0.3621	LR: 0.004000
Training Epoch: 15 [23808/47500]	Loss: 0.2516	LR: 0.004000
Training Epoch: 15 [24064/47500]	Loss: 0.2784	LR: 0.004000
Training Epoch: 15 [24320/47500]	Loss: 0.2551	LR: 0.004000
Training Epoch: 15 [24576/47500]	Loss: 0.3345	LR: 0.004000
Training Epoch: 15 [24832/47500]	Loss: 0.2839	LR: 0.004000
Training Epoch: 15 [25088/47500]	Loss: 0.3032	LR: 0.004000
Training Epoch: 15 [25344/47500]	Loss: 0.2130	LR: 0.004000
Training Epoch: 15 [25600/47500]	Loss: 0.3162	LR: 0.004000
Training Epoch: 15 [25856/47500]	Loss: 0.2253	LR: 0.004000
Training Epoch: 15 [26112/47500]	Loss: 0.2413	LR: 0.004000
Training Epoch: 15 [26368/47500]	Loss: 0.3505	LR: 0.004000
Training Epoch: 15 [26624/47500]	Loss: 0.2492	LR: 0.004000
Training Epoch: 15 [26880/47500]	Loss: 0.3215	LR: 0.004000
Training Epoch: 15 [27136/47500]	Loss: 0.2037	LR: 0.004000
Training Epoch: 15 [27392/47500]	Loss: 0.2554	LR: 0.004000
Training Epoch: 15 [27648/47500]	Loss: 0.2596	LR: 0.004000
Training Epoch: 15 [27904/47500]	Loss: 0.2589	LR: 0.004000
Training Epoch: 15 [28160/47500]	Loss: 0.3170	LR: 0.004000
Training Epoch: 15 [28416/47500]	Loss: 0.3586	LR: 0.004000
Training Epoch: 15 [28672/47500]	Loss: 0.3038	LR: 0.004000
Training Epoch: 15 [28928/47500]	Loss: 0.2908	LR: 0.004000
Training Epoch: 15 [29184/47500]	Loss: 0.2508	LR: 0.004000
Training Epoch: 15 [29440/47500]	Loss: 0.2733	LR: 0.004000
Training Epoch: 15 [29696/47500]	Loss: 0.2597	LR: 0.004000
Training Epoch: 15 [29952/47500]	Loss: 0.2193	LR: 0.004000
Training Epoch: 15 [30208/47500]	Loss: 0.2830	LR: 0.004000
Training Epoch: 15 [30464/47500]	Loss: 0.2988	LR: 0.004000
Training Epoch: 15 [30720/47500]	Loss: 0.3150	LR: 0.004000
Training Epoch: 15 [30976/47500]	Loss: 0.4313	LR: 0.004000
Training Epoch: 15 [31232/47500]	Loss: 0.3165	LR: 0.004000
Training Epoch: 15 [31488/47500]	Loss: 0.2567	LR: 0.004000
Training Epoch: 15 [31744/47500]	Loss: 0.2845	LR: 0.004000
Training Epoch: 15 [32000/47500]	Loss: 0.3097	LR: 0.004000
Training Epoch: 15 [32256/47500]	Loss: 0.2560	LR: 0.004000
Training Epoch: 15 [32512/47500]	Loss: 0.3187	LR: 0.004000
Training Epoch: 15 [32768/47500]	Loss: 0.2770	LR: 0.004000
Training Epoch: 15 [33024/47500]	Loss: 0.2575	LR: 0.004000
Training Epoch: 15 [33280/47500]	Loss: 0.2566	LR: 0.004000
Training Epoch: 15 [33536/47500]	Loss: 0.2582	LR: 0.004000
Training Epoch: 15 [33792/47500]	Loss: 0.2823	LR: 0.004000
Training Epoch: 15 [34048/47500]	Loss: 0.2666	LR: 0.004000
Training Epoch: 15 [34304/47500]	Loss: 0.3836	LR: 0.004000
Training Epoch: 15 [34560/47500]	Loss: 0.2545	LR: 0.004000
Training Epoch: 15 [34816/47500]	Loss: 0.3112	LR: 0.004000
Training Epoch: 15 [35072/47500]	Loss: 0.3247	LR: 0.004000
Training Epoch: 15 [35328/47500]	Loss: 0.3093	LR: 0.004000
Training Epoch: 15 [35584/47500]	Loss: 0.2939	LR: 0.004000
Training Epoch: 15 [35840/47500]	Loss: 0.2884	LR: 0.004000
Training Epoch: 15 [36096/47500]	Loss: 0.2789	LR: 0.004000
Training Epoch: 15 [36352/47500]	Loss: 0.4137	LR: 0.004000
Training Epoch: 15 [36608/47500]	Loss: 0.3401	LR: 0.004000
Training Epoch: 15 [36864/47500]	Loss: 0.2404	LR: 0.004000
Training Epoch: 15 [37120/47500]	Loss: 0.3217	LR: 0.004000
Training Epoch: 15 [37376/47500]	Loss: 0.2859	LR: 0.004000
Training Epoch: 15 [37632/47500]	Loss: 0.2900	LR: 0.004000
Training Epoch: 15 [37888/47500]	Loss: 0.2801	LR: 0.004000
Training Epoch: 15 [38144/47500]	Loss: 0.2358	LR: 0.004000
Training Epoch: 15 [38400/47500]	Loss: 0.3049	LR: 0.004000
Training Epoch: 15 [38656/47500]	Loss: 0.3046	LR: 0.004000
Training Epoch: 15 [38912/47500]	Loss: 0.1755	LR: 0.004000
Training Epoch: 15 [39168/47500]	Loss: 0.2747	LR: 0.004000
Training Epoch: 15 [39424/47500]	Loss: 0.2857	LR: 0.004000
Training Epoch: 15 [39680/47500]	Loss: 0.2527	LR: 0.004000
Training Epoch: 15 [39936/47500]	Loss: 0.3006	LR: 0.004000
Training Epoch: 15 [40192/47500]	Loss: 0.3524	LR: 0.004000
Training Epoch: 15 [40448/47500]	Loss: 0.2738	LR: 0.004000
Training Epoch: 15 [40704/47500]	Loss: 0.2606	LR: 0.004000
Training Epoch: 15 [40960/47500]	Loss: 0.2663	LR: 0.004000
Training Epoch: 15 [41216/47500]	Loss: 0.2506	LR: 0.004000
Training Epoch: 15 [41472/47500]	Loss: 0.3325	LR: 0.004000
Training Epoch: 15 [41728/47500]	Loss: 0.2563	LR: 0.004000
Training Epoch: 15 [41984/47500]	Loss: 0.2767	LR: 0.004000
Training Epoch: 15 [42240/47500]	Loss: 0.3078	LR: 0.004000
Training Epoch: 15 [42496/47500]	Loss: 0.2878	LR: 0.004000
Training Epoch: 15 [42752/47500]	Loss: 0.2863	LR: 0.004000
Training Epoch: 15 [43008/47500]	Loss: 0.2962	LR: 0.004000
Training Epoch: 15 [43264/47500]	Loss: 0.3185	LR: 0.004000
Training Epoch: 15 [43520/47500]	Loss: 0.2844	LR: 0.004000
Training Epoch: 15 [43776/47500]	Loss: 0.3012	LR: 0.004000
Training Epoch: 15 [44032/47500]	Loss: 0.2911	LR: 0.004000
Training Epoch: 15 [44288/47500]	Loss: 0.2307	LR: 0.004000
Training Epoch: 15 [44544/47500]	Loss: 0.2397	LR: 0.004000
Training Epoch: 15 [44800/47500]	Loss: 0.3756	LR: 0.004000
Training Epoch: 15 [45056/47500]	Loss: 0.3162	LR: 0.004000
Training Epoch: 15 [45312/47500]	Loss: 0.2870	LR: 0.004000
Training Epoch: 15 [45568/47500]	Loss: 0.3090	LR: 0.004000
Training Epoch: 15 [45824/47500]	Loss: 0.2738	LR: 0.004000
Training Epoch: 15 [46080/47500]	Loss: 0.2827	LR: 0.004000
Training Epoch: 15 [46336/47500]	Loss: 0.2807	LR: 0.004000
Training Epoch: 15 [46592/47500]	Loss: 0.2700	LR: 0.004000
Training Epoch: 15 [46848/47500]	Loss: 0.2524	LR: 0.004000
Training Epoch: 15 [47104/47500]	Loss: 0.3157	LR: 0.004000
Training Epoch: 15 [47360/47500]	Loss: 0.2365	LR: 0.004000
Training Epoch: 15 [47500/47500]	Loss: 0.2648	LR: 0.004000
Epoch 15 - Average Train Loss: 0.2888, Train Accuracy: 0.8996
Epoch 15 training time consumed: 29.51s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0013, Accuracy: 0.8872, Time consumed:1.00s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_09h_43m_21s/ResNet18-Cifar10-seed2-ret50-15-best.pth
Training Epoch: 16 [256/47500]	Loss: 0.2875	LR: 0.000800
Training Epoch: 16 [512/47500]	Loss: 0.2478	LR: 0.000800
Training Epoch: 16 [768/47500]	Loss: 0.1840	LR: 0.000800
Training Epoch: 16 [1024/47500]	Loss: 0.2289	LR: 0.000800
Training Epoch: 16 [1280/47500]	Loss: 0.2402	LR: 0.000800
Training Epoch: 16 [1536/47500]	Loss: 0.2248	LR: 0.000800
Training Epoch: 16 [1792/47500]	Loss: 0.2722	LR: 0.000800
Training Epoch: 16 [2048/47500]	Loss: 0.3912	LR: 0.000800
Training Epoch: 16 [2304/47500]	Loss: 0.2595	LR: 0.000800
Training Epoch: 16 [2560/47500]	Loss: 0.1986	LR: 0.000800
Training Epoch: 16 [2816/47500]	Loss: 0.2928	LR: 0.000800
Training Epoch: 16 [3072/47500]	Loss: 0.2787	LR: 0.000800
Training Epoch: 16 [3328/47500]	Loss: 0.2804	LR: 0.000800
Training Epoch: 16 [3584/47500]	Loss: 0.2743	LR: 0.000800
Training Epoch: 16 [3840/47500]	Loss: 0.3317	LR: 0.000800
Training Epoch: 16 [4096/47500]	Loss: 0.2568	LR: 0.000800
Training Epoch: 16 [4352/47500]	Loss: 0.3909	LR: 0.000800
Training Epoch: 16 [4608/47500]	Loss: 0.3017	LR: 0.000800
Training Epoch: 16 [4864/47500]	Loss: 0.2946	LR: 0.000800
Training Epoch: 16 [5120/47500]	Loss: 0.2737	LR: 0.000800
Training Epoch: 16 [5376/47500]	Loss: 0.2362	LR: 0.000800
Training Epoch: 16 [5632/47500]	Loss: 0.2373	LR: 0.000800
Training Epoch: 16 [5888/47500]	Loss: 0.2676	LR: 0.000800
Training Epoch: 16 [6144/47500]	Loss: 0.2485	LR: 0.000800
Training Epoch: 16 [6400/47500]	Loss: 0.3107	LR: 0.000800
Training Epoch: 16 [6656/47500]	Loss: 0.3566	LR: 0.000800
Training Epoch: 16 [6912/47500]	Loss: 0.2614	LR: 0.000800
Training Epoch: 16 [7168/47500]	Loss: 0.3508	LR: 0.000800
Training Epoch: 16 [7424/47500]	Loss: 0.3166	LR: 0.000800
Training Epoch: 16 [7680/47500]	Loss: 0.2890	LR: 0.000800
Training Epoch: 16 [7936/47500]	Loss: 0.2693	LR: 0.000800
Training Epoch: 16 [8192/47500]	Loss: 0.3237	LR: 0.000800
Training Epoch: 16 [8448/47500]	Loss: 0.2698	LR: 0.000800
Training Epoch: 16 [8704/47500]	Loss: 0.2983	LR: 0.000800
Training Epoch: 16 [8960/47500]	Loss: 0.2518	LR: 0.000800
Training Epoch: 16 [9216/47500]	Loss: 0.2957	LR: 0.000800
Training Epoch: 16 [9472/47500]	Loss: 0.2463	LR: 0.000800
Training Epoch: 16 [9728/47500]	Loss: 0.3254	LR: 0.000800
Training Epoch: 16 [9984/47500]	Loss: 0.3281	LR: 0.000800
Training Epoch: 16 [10240/47500]	Loss: 0.2879	LR: 0.000800
Training Epoch: 16 [10496/47500]	Loss: 0.2666	LR: 0.000800
Training Epoch: 16 [10752/47500]	Loss: 0.3844	LR: 0.000800
Training Epoch: 16 [11008/47500]	Loss: 0.2716	LR: 0.000800
Training Epoch: 16 [11264/47500]	Loss: 0.2416	LR: 0.000800
Training Epoch: 16 [11520/47500]	Loss: 0.1843	LR: 0.000800
Training Epoch: 16 [11776/47500]	Loss: 0.2931	LR: 0.000800
Training Epoch: 16 [12032/47500]	Loss: 0.2558	LR: 0.000800
Training Epoch: 16 [12288/47500]	Loss: 0.2438	LR: 0.000800
Training Epoch: 16 [12544/47500]	Loss: 0.2675	LR: 0.000800
Training Epoch: 16 [12800/47500]	Loss: 0.2769	LR: 0.000800
Training Epoch: 16 [13056/47500]	Loss: 0.2753	LR: 0.000800
Training Epoch: 16 [13312/47500]	Loss: 0.1726	LR: 0.000800
Training Epoch: 16 [13568/47500]	Loss: 0.2898	LR: 0.000800
Training Epoch: 16 [13824/47500]	Loss: 0.2285	LR: 0.000800
Training Epoch: 16 [14080/47500]	Loss: 0.2541	LR: 0.000800
Training Epoch: 16 [14336/47500]	Loss: 0.2355	LR: 0.000800
Training Epoch: 16 [14592/47500]	Loss: 0.2826	LR: 0.000800
Training Epoch: 16 [14848/47500]	Loss: 0.2737	LR: 0.000800
Training Epoch: 16 [15104/47500]	Loss: 0.3056	LR: 0.000800
Training Epoch: 16 [15360/47500]	Loss: 0.3087	LR: 0.000800
Training Epoch: 16 [15616/47500]	Loss: 0.2261	LR: 0.000800
Training Epoch: 16 [15872/47500]	Loss: 0.2770	LR: 0.000800
Training Epoch: 16 [16128/47500]	Loss: 0.2676	LR: 0.000800
Training Epoch: 16 [16384/47500]	Loss: 0.2604	LR: 0.000800
Training Epoch: 16 [16640/47500]	Loss: 0.2838	LR: 0.000800
Training Epoch: 16 [16896/47500]	Loss: 0.2928	LR: 0.000800
Training Epoch: 16 [17152/47500]	Loss: 0.2970	LR: 0.000800
Training Epoch: 16 [17408/47500]	Loss: 0.3446	LR: 0.000800
Training Epoch: 16 [17664/47500]	Loss: 0.2694	LR: 0.000800
Training Epoch: 16 [17920/47500]	Loss: 0.2984	LR: 0.000800
Training Epoch: 16 [18176/47500]	Loss: 0.2667	LR: 0.000800
Training Epoch: 16 [18432/47500]	Loss: 0.2474	LR: 0.000800
Training Epoch: 16 [18688/47500]	Loss: 0.3639	LR: 0.000800
Training Epoch: 16 [18944/47500]	Loss: 0.2592	LR: 0.000800
Training Epoch: 16 [19200/47500]	Loss: 0.2972	LR: 0.000800
Training Epoch: 16 [19456/47500]	Loss: 0.3266	LR: 0.000800
Training Epoch: 16 [19712/47500]	Loss: 0.2873	LR: 0.000800
Training Epoch: 16 [19968/47500]	Loss: 0.2828	LR: 0.000800
Training Epoch: 16 [20224/47500]	Loss: 0.2857	LR: 0.000800
Training Epoch: 16 [20480/47500]	Loss: 0.2474	LR: 0.000800
Training Epoch: 16 [20736/47500]	Loss: 0.3019	LR: 0.000800
Training Epoch: 16 [20992/47500]	Loss: 0.2186	LR: 0.000800
Training Epoch: 16 [21248/47500]	Loss: 0.3244	LR: 0.000800
Training Epoch: 16 [21504/47500]	Loss: 0.2053	LR: 0.000800
Training Epoch: 16 [21760/47500]	Loss: 0.3780	LR: 0.000800
Training Epoch: 16 [22016/47500]	Loss: 0.3014	LR: 0.000800
Training Epoch: 16 [22272/47500]	Loss: 0.2699	LR: 0.000800
Training Epoch: 16 [22528/47500]	Loss: 0.3477	LR: 0.000800
Training Epoch: 16 [22784/47500]	Loss: 0.3033	LR: 0.000800
Training Epoch: 16 [23040/47500]	Loss: 0.3355	LR: 0.000800
Training Epoch: 16 [23296/47500]	Loss: 0.2712	LR: 0.000800
Training Epoch: 16 [23552/47500]	Loss: 0.2842	LR: 0.000800
Training Epoch: 16 [23808/47500]	Loss: 0.2283	LR: 0.000800
Training Epoch: 16 [24064/47500]	Loss: 0.2875	LR: 0.000800
Training Epoch: 16 [24320/47500]	Loss: 0.2046	LR: 0.000800
Training Epoch: 16 [24576/47500]	Loss: 0.2471	LR: 0.000800
Training Epoch: 16 [24832/47500]	Loss: 0.2521	LR: 0.000800
Training Epoch: 16 [25088/47500]	Loss: 0.3120	LR: 0.000800
Training Epoch: 16 [25344/47500]	Loss: 0.3463	LR: 0.000800
Training Epoch: 16 [25600/47500]	Loss: 0.3382	LR: 0.000800
Training Epoch: 16 [25856/47500]	Loss: 0.2096	LR: 0.000800
Training Epoch: 16 [26112/47500]	Loss: 0.2007	LR: 0.000800
Training Epoch: 16 [26368/47500]	Loss: 0.2682	LR: 0.000800
Training Epoch: 16 [26624/47500]	Loss: 0.2515	LR: 0.000800
Training Epoch: 16 [26880/47500]	Loss: 0.2712	LR: 0.000800
Training Epoch: 16 [27136/47500]	Loss: 0.2619	LR: 0.000800
Training Epoch: 16 [27392/47500]	Loss: 0.2949	LR: 0.000800
Training Epoch: 16 [27648/47500]	Loss: 0.2493	LR: 0.000800
Training Epoch: 16 [27904/47500]	Loss: 0.2328	LR: 0.000800
Training Epoch: 16 [28160/47500]	Loss: 0.2462	LR: 0.000800
Training Epoch: 16 [28416/47500]	Loss: 0.2149	LR: 0.000800
Training Epoch: 16 [28672/47500]	Loss: 0.2847	LR: 0.000800
Training Epoch: 16 [28928/47500]	Loss: 0.2493	LR: 0.000800
Training Epoch: 16 [29184/47500]	Loss: 0.3924	LR: 0.000800
Training Epoch: 16 [29440/47500]	Loss: 0.2588	LR: 0.000800
Training Epoch: 16 [29696/47500]	Loss: 0.2826	LR: 0.000800
Training Epoch: 16 [29952/47500]	Loss: 0.2236	LR: 0.000800
Training Epoch: 16 [30208/47500]	Loss: 0.2950	LR: 0.000800
Training Epoch: 16 [30464/47500]	Loss: 0.2392	LR: 0.000800
Training Epoch: 16 [30720/47500]	Loss: 0.2292	LR: 0.000800
Training Epoch: 16 [30976/47500]	Loss: 0.2065	LR: 0.000800
Training Epoch: 16 [31232/47500]	Loss: 0.2769	LR: 0.000800
Training Epoch: 16 [31488/47500]	Loss: 0.2724	LR: 0.000800
Training Epoch: 16 [31744/47500]	Loss: 0.2509	LR: 0.000800
Training Epoch: 16 [32000/47500]	Loss: 0.3234	LR: 0.000800
Training Epoch: 16 [32256/47500]	Loss: 0.2973	LR: 0.000800
Training Epoch: 16 [32512/47500]	Loss: 0.2228	LR: 0.000800
Training Epoch: 16 [32768/47500]	Loss: 0.3073	LR: 0.000800
Training Epoch: 16 [33024/47500]	Loss: 0.2714	LR: 0.000800
Training Epoch: 16 [33280/47500]	Loss: 0.2818	LR: 0.000800
Training Epoch: 16 [33536/47500]	Loss: 0.2922	LR: 0.000800
Training Epoch: 16 [33792/47500]	Loss: 0.3312	LR: 0.000800
Training Epoch: 16 [34048/47500]	Loss: 0.2773	LR: 0.000800
Training Epoch: 16 [34304/47500]	Loss: 0.2510	LR: 0.000800
Training Epoch: 16 [34560/47500]	Loss: 0.3122	LR: 0.000800
Training Epoch: 16 [34816/47500]	Loss: 0.2879	LR: 0.000800
Training Epoch: 16 [35072/47500]	Loss: 0.2654	LR: 0.000800
Training Epoch: 16 [35328/47500]	Loss: 0.2513	LR: 0.000800
Training Epoch: 16 [35584/47500]	Loss: 0.3470	LR: 0.000800
Training Epoch: 16 [35840/47500]	Loss: 0.2974	LR: 0.000800
Training Epoch: 16 [36096/47500]	Loss: 0.2318	LR: 0.000800
Training Epoch: 16 [36352/47500]	Loss: 0.2481	LR: 0.000800
Training Epoch: 16 [36608/47500]	Loss: 0.2103	LR: 0.000800
Training Epoch: 16 [36864/47500]	Loss: 0.3480	LR: 0.000800
Training Epoch: 16 [37120/47500]	Loss: 0.2061	LR: 0.000800
Training Epoch: 16 [37376/47500]	Loss: 0.3294	LR: 0.000800
Training Epoch: 16 [37632/47500]	Loss: 0.3041	LR: 0.000800
Training Epoch: 16 [37888/47500]	Loss: 0.2368	LR: 0.000800
Training Epoch: 16 [38144/47500]	Loss: 0.2970	LR: 0.000800
Training Epoch: 16 [38400/47500]	Loss: 0.2389	LR: 0.000800
Training Epoch: 16 [38656/47500]	Loss: 0.2281	LR: 0.000800
Training Epoch: 16 [38912/47500]	Loss: 0.2901	LR: 0.000800
Training Epoch: 16 [39168/47500]	Loss: 0.2593	LR: 0.000800
Training Epoch: 16 [39424/47500]	Loss: 0.2022	LR: 0.000800
Training Epoch: 16 [39680/47500]	Loss: 0.2615	LR: 0.000800
Training Epoch: 16 [39936/47500]	Loss: 0.2683	LR: 0.000800
Training Epoch: 16 [40192/47500]	Loss: 0.3135	LR: 0.000800
Training Epoch: 16 [40448/47500]	Loss: 0.3191	LR: 0.000800
Training Epoch: 16 [40704/47500]	Loss: 0.2758	LR: 0.000800
Training Epoch: 16 [40960/47500]	Loss: 0.2780	LR: 0.000800
Training Epoch: 16 [41216/47500]	Loss: 0.2573	LR: 0.000800
Training Epoch: 16 [41472/47500]	Loss: 0.2651	LR: 0.000800
Training Epoch: 16 [41728/47500]	Loss: 0.3367	LR: 0.000800
Training Epoch: 16 [41984/47500]	Loss: 0.3226	LR: 0.000800
Training Epoch: 16 [42240/47500]	Loss: 0.3257	LR: 0.000800
Training Epoch: 16 [42496/47500]	Loss: 0.2418	LR: 0.000800
Training Epoch: 16 [42752/47500]	Loss: 0.3253	LR: 0.000800
Training Epoch: 16 [43008/47500]	Loss: 0.2995	LR: 0.000800
Training Epoch: 16 [43264/47500]	Loss: 0.2720	LR: 0.000800
Training Epoch: 16 [43520/47500]	Loss: 0.2892	LR: 0.000800
Training Epoch: 16 [43776/47500]	Loss: 0.2579	LR: 0.000800
Training Epoch: 16 [44032/47500]	Loss: 0.2575	LR: 0.000800
Training Epoch: 16 [44288/47500]	Loss: 0.2308	LR: 0.000800
Training Epoch: 16 [44544/47500]	Loss: 0.2994	LR: 0.000800
Training Epoch: 16 [44800/47500]	Loss: 0.2285	LR: 0.000800
Training Epoch: 16 [45056/47500]	Loss: 0.2492	LR: 0.000800
Training Epoch: 16 [45312/47500]	Loss: 0.3060	LR: 0.000800
Training Epoch: 16 [45568/47500]	Loss: 0.2406	LR: 0.000800
Training Epoch: 16 [45824/47500]	Loss: 0.2486	LR: 0.000800
Training Epoch: 16 [46080/47500]	Loss: 0.2823	LR: 0.000800
Training Epoch: 16 [46336/47500]	Loss: 0.2802	LR: 0.000800
Training Epoch: 16 [46592/47500]	Loss: 0.2763	LR: 0.000800
Training Epoch: 16 [46848/47500]	Loss: 0.1869	LR: 0.000800
Training Epoch: 16 [47104/47500]	Loss: 0.2532	LR: 0.000800
Training Epoch: 16 [47360/47500]	Loss: 0.3436	LR: 0.000800
Training Epoch: 16 [47500/47500]	Loss: 0.3084	LR: 0.000800
Epoch 16 - Average Train Loss: 0.2760, Train Accuracy: 0.9032
Epoch 16 training time consumed: 29.43s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0013, Accuracy: 0.8882, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_09h_43m_21s/ResNet18-Cifar10-seed2-ret50-16-best.pth
Training Epoch: 17 [256/47500]	Loss: 0.3439	LR: 0.000800
Training Epoch: 17 [512/47500]	Loss: 0.3493	LR: 0.000800
Training Epoch: 17 [768/47500]	Loss: 0.2737	LR: 0.000800
Training Epoch: 17 [1024/47500]	Loss: 0.3154	LR: 0.000800
Training Epoch: 17 [1280/47500]	Loss: 0.2092	LR: 0.000800
Training Epoch: 17 [1536/47500]	Loss: 0.2567	LR: 0.000800
Training Epoch: 17 [1792/47500]	Loss: 0.2235	LR: 0.000800
Training Epoch: 17 [2048/47500]	Loss: 0.2846	LR: 0.000800
Training Epoch: 17 [2304/47500]	Loss: 0.2778	LR: 0.000800
Training Epoch: 17 [2560/47500]	Loss: 0.2620	LR: 0.000800
Training Epoch: 17 [2816/47500]	Loss: 0.2500	LR: 0.000800
Training Epoch: 17 [3072/47500]	Loss: 0.1751	LR: 0.000800
Training Epoch: 17 [3328/47500]	Loss: 0.3512	LR: 0.000800
Training Epoch: 17 [3584/47500]	Loss: 0.2778	LR: 0.000800
Training Epoch: 17 [3840/47500]	Loss: 0.1870	LR: 0.000800
Training Epoch: 17 [4096/47500]	Loss: 0.3006	LR: 0.000800
Training Epoch: 17 [4352/47500]	Loss: 0.2612	LR: 0.000800
Training Epoch: 17 [4608/47500]	Loss: 0.3048	LR: 0.000800
Training Epoch: 17 [4864/47500]	Loss: 0.2955	LR: 0.000800
Training Epoch: 17 [5120/47500]	Loss: 0.2993	LR: 0.000800
Training Epoch: 17 [5376/47500]	Loss: 0.2609	LR: 0.000800
Training Epoch: 17 [5632/47500]	Loss: 0.2076	LR: 0.000800
Training Epoch: 17 [5888/47500]	Loss: 0.2611	LR: 0.000800
Training Epoch: 17 [6144/47500]	Loss: 0.2708	LR: 0.000800
Training Epoch: 17 [6400/47500]	Loss: 0.2089	LR: 0.000800
Training Epoch: 17 [6656/47500]	Loss: 0.3009	LR: 0.000800
Training Epoch: 17 [6912/47500]	Loss: 0.2550	LR: 0.000800
Training Epoch: 17 [7168/47500]	Loss: 0.2334	LR: 0.000800
Training Epoch: 17 [7424/47500]	Loss: 0.2466	LR: 0.000800
Training Epoch: 17 [7680/47500]	Loss: 0.2973	LR: 0.000800
Training Epoch: 17 [7936/47500]	Loss: 0.2904	LR: 0.000800
Training Epoch: 17 [8192/47500]	Loss: 0.2951	LR: 0.000800
Training Epoch: 17 [8448/47500]	Loss: 0.2885	LR: 0.000800
Training Epoch: 17 [8704/47500]	Loss: 0.2754	LR: 0.000800
Training Epoch: 17 [8960/47500]	Loss: 0.2835	LR: 0.000800
Training Epoch: 17 [9216/47500]	Loss: 0.3080	LR: 0.000800
Training Epoch: 17 [9472/47500]	Loss: 0.3115	LR: 0.000800
Training Epoch: 17 [9728/47500]	Loss: 0.3840	LR: 0.000800
Training Epoch: 17 [9984/47500]	Loss: 0.3204	LR: 0.000800
Training Epoch: 17 [10240/47500]	Loss: 0.2377	LR: 0.000800
Training Epoch: 17 [10496/47500]	Loss: 0.2828	LR: 0.000800
Training Epoch: 17 [10752/47500]	Loss: 0.3141	LR: 0.000800
Training Epoch: 17 [11008/47500]	Loss: 0.2336	LR: 0.000800
Training Epoch: 17 [11264/47500]	Loss: 0.2790	LR: 0.000800
Training Epoch: 17 [11520/47500]	Loss: 0.2483	LR: 0.000800
Training Epoch: 17 [11776/47500]	Loss: 0.2839	LR: 0.000800
Training Epoch: 17 [12032/47500]	Loss: 0.2823	LR: 0.000800
Training Epoch: 17 [12288/47500]	Loss: 0.3441	LR: 0.000800
Training Epoch: 17 [12544/47500]	Loss: 0.2602	LR: 0.000800
Training Epoch: 17 [12800/47500]	Loss: 0.2763	LR: 0.000800
Training Epoch: 17 [13056/47500]	Loss: 0.1820	LR: 0.000800
Training Epoch: 17 [13312/47500]	Loss: 0.3494	LR: 0.000800
Training Epoch: 17 [13568/47500]	Loss: 0.2572	LR: 0.000800
Training Epoch: 17 [13824/47500]	Loss: 0.2301	LR: 0.000800
Training Epoch: 17 [14080/47500]	Loss: 0.2634	LR: 0.000800
Training Epoch: 17 [14336/47500]	Loss: 0.3116	LR: 0.000800
Training Epoch: 17 [14592/47500]	Loss: 0.2781	LR: 0.000800
Training Epoch: 17 [14848/47500]	Loss: 0.2561	LR: 0.000800
Training Epoch: 17 [15104/47500]	Loss: 0.2538	LR: 0.000800
Training Epoch: 17 [15360/47500]	Loss: 0.2933	LR: 0.000800
Training Epoch: 17 [15616/47500]	Loss: 0.2657	LR: 0.000800
Training Epoch: 17 [15872/47500]	Loss: 0.2915	LR: 0.000800
Training Epoch: 17 [16128/47500]	Loss: 0.2229	LR: 0.000800
Training Epoch: 17 [16384/47500]	Loss: 0.2940	LR: 0.000800
Training Epoch: 17 [16640/47500]	Loss: 0.2733	LR: 0.000800
Training Epoch: 17 [16896/47500]	Loss: 0.2987	LR: 0.000800
Training Epoch: 17 [17152/47500]	Loss: 0.2423	LR: 0.000800
Training Epoch: 17 [17408/47500]	Loss: 0.2897	LR: 0.000800
Training Epoch: 17 [17664/47500]	Loss: 0.3019	LR: 0.000800
Training Epoch: 17 [17920/47500]	Loss: 0.3007	LR: 0.000800
Training Epoch: 17 [18176/47500]	Loss: 0.2869	LR: 0.000800
Training Epoch: 17 [18432/47500]	Loss: 0.2085	LR: 0.000800
Training Epoch: 17 [18688/47500]	Loss: 0.2931	LR: 0.000800
Training Epoch: 17 [18944/47500]	Loss: 0.2948	LR: 0.000800
Training Epoch: 17 [19200/47500]	Loss: 0.2822	LR: 0.000800
Training Epoch: 17 [19456/47500]	Loss: 0.2181	LR: 0.000800
Training Epoch: 17 [19712/47500]	Loss: 0.3071	LR: 0.000800
Training Epoch: 17 [19968/47500]	Loss: 0.2733	LR: 0.000800
Training Epoch: 17 [20224/47500]	Loss: 0.2681	LR: 0.000800
Training Epoch: 17 [20480/47500]	Loss: 0.2868	LR: 0.000800
Training Epoch: 17 [20736/47500]	Loss: 0.2788	LR: 0.000800
Training Epoch: 17 [20992/47500]	Loss: 0.2083	LR: 0.000800
Training Epoch: 17 [21248/47500]	Loss: 0.2695	LR: 0.000800
Training Epoch: 17 [21504/47500]	Loss: 0.2654	LR: 0.000800
Training Epoch: 17 [21760/47500]	Loss: 0.2849	LR: 0.000800
Training Epoch: 17 [22016/47500]	Loss: 0.2420	LR: 0.000800
Training Epoch: 17 [22272/47500]	Loss: 0.2625	LR: 0.000800
Training Epoch: 17 [22528/47500]	Loss: 0.3145	LR: 0.000800
Training Epoch: 17 [22784/47500]	Loss: 0.3362	LR: 0.000800
Training Epoch: 17 [23040/47500]	Loss: 0.2556	LR: 0.000800
Training Epoch: 17 [23296/47500]	Loss: 0.2314	LR: 0.000800
Training Epoch: 17 [23552/47500]	Loss: 0.2199	LR: 0.000800
Training Epoch: 17 [23808/47500]	Loss: 0.2803	LR: 0.000800
Training Epoch: 17 [24064/47500]	Loss: 0.3238	LR: 0.000800
Training Epoch: 17 [24320/47500]	Loss: 0.2796	LR: 0.000800
Training Epoch: 17 [24576/47500]	Loss: 0.2671	LR: 0.000800
Training Epoch: 17 [24832/47500]	Loss: 0.3384	LR: 0.000800
Training Epoch: 17 [25088/47500]	Loss: 0.2211	LR: 0.000800
Training Epoch: 17 [25344/47500]	Loss: 0.2035	LR: 0.000800
Training Epoch: 17 [25600/47500]	Loss: 0.2460	LR: 0.000800
Training Epoch: 17 [25856/47500]	Loss: 0.2859	LR: 0.000800
Training Epoch: 17 [26112/47500]	Loss: 0.2693	LR: 0.000800
Training Epoch: 17 [26368/47500]	Loss: 0.2603	LR: 0.000800
Training Epoch: 17 [26624/47500]	Loss: 0.2866	LR: 0.000800
Training Epoch: 17 [26880/47500]	Loss: 0.3153	LR: 0.000800
Training Epoch: 17 [27136/47500]	Loss: 0.2303	LR: 0.000800
Training Epoch: 17 [27392/47500]	Loss: 0.2792	LR: 0.000800
Training Epoch: 17 [27648/47500]	Loss: 0.3002	LR: 0.000800
Training Epoch: 17 [27904/47500]	Loss: 0.2520	LR: 0.000800
Training Epoch: 17 [28160/47500]	Loss: 0.2391	LR: 0.000800
Training Epoch: 17 [28416/47500]	Loss: 0.2542	LR: 0.000800
Training Epoch: 17 [28672/47500]	Loss: 0.3167	LR: 0.000800
Training Epoch: 17 [28928/47500]	Loss: 0.3164	LR: 0.000800
Training Epoch: 17 [29184/47500]	Loss: 0.2909	LR: 0.000800
Training Epoch: 17 [29440/47500]	Loss: 0.2866	LR: 0.000800
Training Epoch: 17 [29696/47500]	Loss: 0.2895	LR: 0.000800
Training Epoch: 17 [29952/47500]	Loss: 0.2384	LR: 0.000800
Training Epoch: 17 [30208/47500]	Loss: 0.2335	LR: 0.000800
Training Epoch: 17 [30464/47500]	Loss: 0.2805	LR: 0.000800
Training Epoch: 17 [30720/47500]	Loss: 0.2736	LR: 0.000800
Training Epoch: 17 [30976/47500]	Loss: 0.3169	LR: 0.000800
Training Epoch: 17 [31232/47500]	Loss: 0.1965	LR: 0.000800
Training Epoch: 17 [31488/47500]	Loss: 0.2720	LR: 0.000800
Training Epoch: 17 [31744/47500]	Loss: 0.2393	LR: 0.000800
Training Epoch: 17 [32000/47500]	Loss: 0.2997	LR: 0.000800
Training Epoch: 17 [32256/47500]	Loss: 0.2155	LR: 0.000800
Training Epoch: 17 [32512/47500]	Loss: 0.2724	LR: 0.000800
Training Epoch: 17 [32768/47500]	Loss: 0.2406	LR: 0.000800
Training Epoch: 17 [33024/47500]	Loss: 0.3023	LR: 0.000800
Training Epoch: 17 [33280/47500]	Loss: 0.3340	LR: 0.000800
Training Epoch: 17 [33536/47500]	Loss: 0.2006	LR: 0.000800
Training Epoch: 17 [33792/47500]	Loss: 0.2761	LR: 0.000800
Training Epoch: 17 [34048/47500]	Loss: 0.2780	LR: 0.000800
Training Epoch: 17 [34304/47500]	Loss: 0.3378	LR: 0.000800
Training Epoch: 17 [34560/47500]	Loss: 0.2636	LR: 0.000800
Training Epoch: 17 [34816/47500]	Loss: 0.3150	LR: 0.000800
Training Epoch: 17 [35072/47500]	Loss: 0.2517	LR: 0.000800
Training Epoch: 17 [35328/47500]	Loss: 0.2734	LR: 0.000800
Training Epoch: 17 [35584/47500]	Loss: 0.3225	LR: 0.000800
Training Epoch: 17 [35840/47500]	Loss: 0.2880	LR: 0.000800
Training Epoch: 17 [36096/47500]	Loss: 0.2876	LR: 0.000800
Training Epoch: 17 [36352/47500]	Loss: 0.3307	LR: 0.000800
Training Epoch: 17 [36608/47500]	Loss: 0.2175	LR: 0.000800
Training Epoch: 17 [36864/47500]	Loss: 0.2906	LR: 0.000800
Training Epoch: 17 [37120/47500]	Loss: 0.3329	LR: 0.000800
Training Epoch: 17 [37376/47500]	Loss: 0.3326	LR: 0.000800
Training Epoch: 17 [37632/47500]	Loss: 0.2203	LR: 0.000800
Training Epoch: 17 [37888/47500]	Loss: 0.3204	LR: 0.000800
Training Epoch: 17 [38144/47500]	Loss: 0.2486	LR: 0.000800
Training Epoch: 17 [38400/47500]	Loss: 0.2758	LR: 0.000800
Training Epoch: 17 [38656/47500]	Loss: 0.2630	LR: 0.000800
Training Epoch: 17 [38912/47500]	Loss: 0.2539	LR: 0.000800
Training Epoch: 17 [39168/47500]	Loss: 0.3151	LR: 0.000800
Training Epoch: 17 [39424/47500]	Loss: 0.3129	LR: 0.000800
Training Epoch: 17 [39680/47500]	Loss: 0.3012	LR: 0.000800
Training Epoch: 17 [39936/47500]	Loss: 0.3484	LR: 0.000800
Training Epoch: 17 [40192/47500]	Loss: 0.3569	LR: 0.000800
Training Epoch: 17 [40448/47500]	Loss: 0.2464	LR: 0.000800
Training Epoch: 17 [40704/47500]	Loss: 0.2760	LR: 0.000800
Training Epoch: 17 [40960/47500]	Loss: 0.3173	LR: 0.000800
Training Epoch: 17 [41216/47500]	Loss: 0.4114	LR: 0.000800
Training Epoch: 17 [41472/47500]	Loss: 0.2210	LR: 0.000800
Training Epoch: 17 [41728/47500]	Loss: 0.2072	LR: 0.000800
Training Epoch: 17 [41984/47500]	Loss: 0.3275	LR: 0.000800
Training Epoch: 17 [42240/47500]	Loss: 0.2547	LR: 0.000800
Training Epoch: 17 [42496/47500]	Loss: 0.2437	LR: 0.000800
Training Epoch: 17 [42752/47500]	Loss: 0.2518	LR: 0.000800
Training Epoch: 17 [43008/47500]	Loss: 0.2801	LR: 0.000800
Training Epoch: 17 [43264/47500]	Loss: 0.2769	LR: 0.000800
Training Epoch: 17 [43520/47500]	Loss: 0.2840	LR: 0.000800
Training Epoch: 17 [43776/47500]	Loss: 0.2748	LR: 0.000800
Training Epoch: 17 [44032/47500]	Loss: 0.3289	LR: 0.000800
Training Epoch: 17 [44288/47500]	Loss: 0.3354	LR: 0.000800
Training Epoch: 17 [44544/47500]	Loss: 0.2692	LR: 0.000800
Training Epoch: 17 [44800/47500]	Loss: 0.2127	LR: 0.000800
Training Epoch: 17 [45056/47500]	Loss: 0.2117	LR: 0.000800
Training Epoch: 17 [45312/47500]	Loss: 0.2957	LR: 0.000800
Training Epoch: 17 [45568/47500]	Loss: 0.2551	LR: 0.000800
Training Epoch: 17 [45824/47500]	Loss: 0.3055	LR: 0.000800
Training Epoch: 17 [46080/47500]	Loss: 0.2625	LR: 0.000800
Training Epoch: 17 [46336/47500]	Loss: 0.2556	LR: 0.000800
Training Epoch: 17 [46592/47500]	Loss: 0.2777	LR: 0.000800
Training Epoch: 17 [46848/47500]	Loss: 0.3010	LR: 0.000800
Training Epoch: 17 [47104/47500]	Loss: 0.1893	LR: 0.000800
Training Epoch: 17 [47360/47500]	Loss: 0.2207	LR: 0.000800
Training Epoch: 17 [47500/47500]	Loss: 0.2861	LR: 0.000800
Epoch 17 - Average Train Loss: 0.2754, Train Accuracy: 0.9037
Epoch 17 training time consumed: 29.23s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0013, Accuracy: 0.8891, Time consumed:1.01s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_09h_43m_21s/ResNet18-Cifar10-seed2-ret50-17-best.pth
Training Epoch: 18 [256/47500]	Loss: 0.2642	LR: 0.000800
Training Epoch: 18 [512/47500]	Loss: 0.2652	LR: 0.000800
Training Epoch: 18 [768/47500]	Loss: 0.3402	LR: 0.000800
Training Epoch: 18 [1024/47500]	Loss: 0.2793	LR: 0.000800
Training Epoch: 18 [1280/47500]	Loss: 0.2432	LR: 0.000800
Training Epoch: 18 [1536/47500]	Loss: 0.2765	LR: 0.000800
Training Epoch: 18 [1792/47500]	Loss: 0.3093	LR: 0.000800
Training Epoch: 18 [2048/47500]	Loss: 0.1973	LR: 0.000800
Training Epoch: 18 [2304/47500]	Loss: 0.3381	LR: 0.000800
Training Epoch: 18 [2560/47500]	Loss: 0.2538	LR: 0.000800
Training Epoch: 18 [2816/47500]	Loss: 0.2451	LR: 0.000800
Training Epoch: 18 [3072/47500]	Loss: 0.2800	LR: 0.000800
Training Epoch: 18 [3328/47500]	Loss: 0.2533	LR: 0.000800
Training Epoch: 18 [3584/47500]	Loss: 0.3427	LR: 0.000800
Training Epoch: 18 [3840/47500]	Loss: 0.3079	LR: 0.000800
Training Epoch: 18 [4096/47500]	Loss: 0.2932	LR: 0.000800
Training Epoch: 18 [4352/47500]	Loss: 0.2720	LR: 0.000800
Training Epoch: 18 [4608/47500]	Loss: 0.2730	LR: 0.000800
Training Epoch: 18 [4864/47500]	Loss: 0.1815	LR: 0.000800
Training Epoch: 18 [5120/47500]	Loss: 0.2306	LR: 0.000800
Training Epoch: 18 [5376/47500]	Loss: 0.3304	LR: 0.000800
Training Epoch: 18 [5632/47500]	Loss: 0.3067	LR: 0.000800
Training Epoch: 18 [5888/47500]	Loss: 0.2741	LR: 0.000800
Training Epoch: 18 [6144/47500]	Loss: 0.2562	LR: 0.000800
Training Epoch: 18 [6400/47500]	Loss: 0.3023	LR: 0.000800
Training Epoch: 18 [6656/47500]	Loss: 0.2439	LR: 0.000800
Training Epoch: 18 [6912/47500]	Loss: 0.2298	LR: 0.000800
Training Epoch: 18 [7168/47500]	Loss: 0.3361	LR: 0.000800
Training Epoch: 18 [7424/47500]	Loss: 0.3380	LR: 0.000800
Training Epoch: 18 [7680/47500]	Loss: 0.2515	LR: 0.000800
Training Epoch: 18 [7936/47500]	Loss: 0.2606	LR: 0.000800
Training Epoch: 18 [8192/47500]	Loss: 0.2757	LR: 0.000800
Training Epoch: 18 [8448/47500]	Loss: 0.2653	LR: 0.000800
Training Epoch: 18 [8704/47500]	Loss: 0.2274	LR: 0.000800
Training Epoch: 18 [8960/47500]	Loss: 0.2605	LR: 0.000800
Training Epoch: 18 [9216/47500]	Loss: 0.2003	LR: 0.000800
Training Epoch: 18 [9472/47500]	Loss: 0.2418	LR: 0.000800
Training Epoch: 18 [9728/47500]	Loss: 0.2058	LR: 0.000800
Training Epoch: 18 [9984/47500]	Loss: 0.2369	LR: 0.000800
Training Epoch: 18 [10240/47500]	Loss: 0.2307	LR: 0.000800
Training Epoch: 18 [10496/47500]	Loss: 0.3366	LR: 0.000800
Training Epoch: 18 [10752/47500]	Loss: 0.2585	LR: 0.000800
Training Epoch: 18 [11008/47500]	Loss: 0.3183	LR: 0.000800
Training Epoch: 18 [11264/47500]	Loss: 0.2662	LR: 0.000800
Training Epoch: 18 [11520/47500]	Loss: 0.3445	LR: 0.000800
Training Epoch: 18 [11776/47500]	Loss: 0.2780	LR: 0.000800
Training Epoch: 18 [12032/47500]	Loss: 0.3054	LR: 0.000800
Training Epoch: 18 [12288/47500]	Loss: 0.2605	LR: 0.000800
Training Epoch: 18 [12544/47500]	Loss: 0.2610	LR: 0.000800
Training Epoch: 18 [12800/47500]	Loss: 0.2720	LR: 0.000800
Training Epoch: 18 [13056/47500]	Loss: 0.2694	LR: 0.000800
Training Epoch: 18 [13312/47500]	Loss: 0.3179	LR: 0.000800
Training Epoch: 18 [13568/47500]	Loss: 0.2591	LR: 0.000800
Training Epoch: 18 [13824/47500]	Loss: 0.2306	LR: 0.000800
Training Epoch: 18 [14080/47500]	Loss: 0.2342	LR: 0.000800
Training Epoch: 18 [14336/47500]	Loss: 0.2972	LR: 0.000800
Training Epoch: 18 [14592/47500]	Loss: 0.3041	LR: 0.000800
Training Epoch: 18 [14848/47500]	Loss: 0.2274	LR: 0.000800
Training Epoch: 18 [15104/47500]	Loss: 0.2661	LR: 0.000800
Training Epoch: 18 [15360/47500]	Loss: 0.2374	LR: 0.000800
Training Epoch: 18 [15616/47500]	Loss: 0.2114	LR: 0.000800
Training Epoch: 18 [15872/47500]	Loss: 0.2648	LR: 0.000800
Training Epoch: 18 [16128/47500]	Loss: 0.3070	LR: 0.000800
Training Epoch: 18 [16384/47500]	Loss: 0.2866	LR: 0.000800
Training Epoch: 18 [16640/47500]	Loss: 0.2426	LR: 0.000800
Training Epoch: 18 [16896/47500]	Loss: 0.3805	LR: 0.000800
Training Epoch: 18 [17152/47500]	Loss: 0.4713	LR: 0.000800
Training Epoch: 18 [17408/47500]	Loss: 0.2665	LR: 0.000800
Training Epoch: 18 [17664/47500]	Loss: 0.2586	LR: 0.000800
Training Epoch: 18 [17920/47500]	Loss: 0.3011	LR: 0.000800
Training Epoch: 18 [18176/47500]	Loss: 0.2820	LR: 0.000800
Training Epoch: 18 [18432/47500]	Loss: 0.1889	LR: 0.000800
Training Epoch: 18 [18688/47500]	Loss: 0.3135	LR: 0.000800
Training Epoch: 18 [18944/47500]	Loss: 0.2422	LR: 0.000800
Training Epoch: 18 [19200/47500]	Loss: 0.3012	LR: 0.000800
Training Epoch: 18 [19456/47500]	Loss: 0.3548	LR: 0.000800
Training Epoch: 18 [19712/47500]	Loss: 0.3299	LR: 0.000800
Training Epoch: 18 [19968/47500]	Loss: 0.2712	LR: 0.000800
Training Epoch: 18 [20224/47500]	Loss: 0.2082	LR: 0.000800
Training Epoch: 18 [20480/47500]	Loss: 0.2052	LR: 0.000800
Training Epoch: 18 [20736/47500]	Loss: 0.2265	LR: 0.000800
Training Epoch: 18 [20992/47500]	Loss: 0.3305	LR: 0.000800
Training Epoch: 18 [21248/47500]	Loss: 0.2989	LR: 0.000800
Training Epoch: 18 [21504/47500]	Loss: 0.2222	LR: 0.000800
Training Epoch: 18 [21760/47500]	Loss: 0.2903	LR: 0.000800
Training Epoch: 18 [22016/47500]	Loss: 0.2976	LR: 0.000800
Training Epoch: 18 [22272/47500]	Loss: 0.2616	LR: 0.000800
Training Epoch: 18 [22528/47500]	Loss: 0.2837	LR: 0.000800
Training Epoch: 18 [22784/47500]	Loss: 0.3276	LR: 0.000800
Training Epoch: 18 [23040/47500]	Loss: 0.1890	LR: 0.000800
Training Epoch: 18 [23296/47500]	Loss: 0.2454	LR: 0.000800
Training Epoch: 18 [23552/47500]	Loss: 0.3163	LR: 0.000800
Training Epoch: 18 [23808/47500]	Loss: 0.3064	LR: 0.000800
Training Epoch: 18 [24064/47500]	Loss: 0.2572	LR: 0.000800
Training Epoch: 18 [24320/47500]	Loss: 0.2261	LR: 0.000800
Training Epoch: 18 [24576/47500]	Loss: 0.3282	LR: 0.000800
Training Epoch: 18 [24832/47500]	Loss: 0.3196	LR: 0.000800
Training Epoch: 18 [25088/47500]	Loss: 0.2652	LR: 0.000800
Training Epoch: 18 [25344/47500]	Loss: 0.2498	LR: 0.000800
Training Epoch: 18 [25600/47500]	Loss: 0.2669	LR: 0.000800
Training Epoch: 18 [25856/47500]	Loss: 0.2352	LR: 0.000800
Training Epoch: 18 [26112/47500]	Loss: 0.2718	LR: 0.000800
Training Epoch: 18 [26368/47500]	Loss: 0.4183	LR: 0.000800
Training Epoch: 18 [26624/47500]	Loss: 0.2852	LR: 0.000800
Training Epoch: 18 [26880/47500]	Loss: 0.2996	LR: 0.000800
Training Epoch: 18 [27136/47500]	Loss: 0.2683	LR: 0.000800
Training Epoch: 18 [27392/47500]	Loss: 0.2792	LR: 0.000800
Training Epoch: 18 [27648/47500]	Loss: 0.3526	LR: 0.000800
Training Epoch: 18 [27904/47500]	Loss: 0.2129	LR: 0.000800
Training Epoch: 18 [28160/47500]	Loss: 0.1786	LR: 0.000800
Training Epoch: 18 [28416/47500]	Loss: 0.2286	LR: 0.000800
Training Epoch: 18 [28672/47500]	Loss: 0.2368	LR: 0.000800
Training Epoch: 18 [28928/47500]	Loss: 0.1951	LR: 0.000800
Training Epoch: 18 [29184/47500]	Loss: 0.2579	LR: 0.000800
Training Epoch: 18 [29440/47500]	Loss: 0.2325	LR: 0.000800
Training Epoch: 18 [29696/47500]	Loss: 0.2879	LR: 0.000800
Training Epoch: 18 [29952/47500]	Loss: 0.3632	LR: 0.000800
Training Epoch: 18 [30208/47500]	Loss: 0.2237	LR: 0.000800
Training Epoch: 18 [30464/47500]	Loss: 0.2941	LR: 0.000800
Training Epoch: 18 [30720/47500]	Loss: 0.2771	LR: 0.000800
Training Epoch: 18 [30976/47500]	Loss: 0.2628	LR: 0.000800
Training Epoch: 18 [31232/47500]	Loss: 0.2045	LR: 0.000800
Training Epoch: 18 [31488/47500]	Loss: 0.3092	LR: 0.000800
Training Epoch: 18 [31744/47500]	Loss: 0.3171	LR: 0.000800
Training Epoch: 18 [32000/47500]	Loss: 0.3223	LR: 0.000800
Training Epoch: 18 [32256/47500]	Loss: 0.2420	LR: 0.000800
Training Epoch: 18 [32512/47500]	Loss: 0.2975	LR: 0.000800
Training Epoch: 18 [32768/47500]	Loss: 0.2843	LR: 0.000800
Training Epoch: 18 [33024/47500]	Loss: 0.2624	LR: 0.000800
Training Epoch: 18 [33280/47500]	Loss: 0.2706	LR: 0.000800
Training Epoch: 18 [33536/47500]	Loss: 0.2575	LR: 0.000800
Training Epoch: 18 [33792/47500]	Loss: 0.2429	LR: 0.000800
Training Epoch: 18 [34048/47500]	Loss: 0.2363	LR: 0.000800
Training Epoch: 18 [34304/47500]	Loss: 0.2201	LR: 0.000800
Training Epoch: 18 [34560/47500]	Loss: 0.3136	LR: 0.000800
Training Epoch: 18 [34816/47500]	Loss: 0.2636	LR: 0.000800
Training Epoch: 18 [35072/47500]	Loss: 0.2957	LR: 0.000800
Training Epoch: 18 [35328/47500]	Loss: 0.2002	LR: 0.000800
Training Epoch: 18 [35584/47500]	Loss: 0.3171	LR: 0.000800
Training Epoch: 18 [35840/47500]	Loss: 0.2117	LR: 0.000800
Training Epoch: 18 [36096/47500]	Loss: 0.3088	LR: 0.000800
Training Epoch: 18 [36352/47500]	Loss: 0.3284	LR: 0.000800
Training Epoch: 18 [36608/47500]	Loss: 0.3231	LR: 0.000800
Training Epoch: 18 [36864/47500]	Loss: 0.2086	LR: 0.000800
Training Epoch: 18 [37120/47500]	Loss: 0.2838	LR: 0.000800
Training Epoch: 18 [37376/47500]	Loss: 0.2269	LR: 0.000800
Training Epoch: 18 [37632/47500]	Loss: 0.3080	LR: 0.000800
Training Epoch: 18 [37888/47500]	Loss: 0.3660	LR: 0.000800
Training Epoch: 18 [38144/47500]	Loss: 0.3172	LR: 0.000800
Training Epoch: 18 [38400/47500]	Loss: 0.2876	LR: 0.000800
Training Epoch: 18 [38656/47500]	Loss: 0.2900	LR: 0.000800
Training Epoch: 18 [38912/47500]	Loss: 0.3008	LR: 0.000800
Training Epoch: 18 [39168/47500]	Loss: 0.2208	LR: 0.000800
Training Epoch: 18 [39424/47500]	Loss: 0.3203	LR: 0.000800
Training Epoch: 18 [39680/47500]	Loss: 0.2398	LR: 0.000800
Training Epoch: 18 [39936/47500]	Loss: 0.3057	LR: 0.000800
Training Epoch: 18 [40192/47500]	Loss: 0.3179	LR: 0.000800
Training Epoch: 18 [40448/47500]	Loss: 0.2836	LR: 0.000800
Training Epoch: 18 [40704/47500]	Loss: 0.3322	LR: 0.000800
Training Epoch: 18 [40960/47500]	Loss: 0.2771	LR: 0.000800
Training Epoch: 18 [41216/47500]	Loss: 0.2105	LR: 0.000800
Training Epoch: 18 [41472/47500]	Loss: 0.3379	LR: 0.000800
Training Epoch: 18 [41728/47500]	Loss: 0.2858	LR: 0.000800
Training Epoch: 18 [41984/47500]	Loss: 0.3110	LR: 0.000800
Training Epoch: 18 [42240/47500]	Loss: 0.2240	LR: 0.000800
Training Epoch: 18 [42496/47500]	Loss: 0.2266	LR: 0.000800
Training Epoch: 18 [42752/47500]	Loss: 0.3311	LR: 0.000800
Training Epoch: 18 [43008/47500]	Loss: 0.4122	LR: 0.000800
Training Epoch: 18 [43264/47500]	Loss: 0.1868	LR: 0.000800
Training Epoch: 18 [43520/47500]	Loss: 0.2936	LR: 0.000800
Training Epoch: 18 [43776/47500]	Loss: 0.3300	LR: 0.000800
Training Epoch: 18 [44032/47500]	Loss: 0.3033	LR: 0.000800
Training Epoch: 18 [44288/47500]	Loss: 0.2324	LR: 0.000800
Training Epoch: 18 [44544/47500]	Loss: 0.2707	LR: 0.000800
Training Epoch: 18 [44800/47500]	Loss: 0.1948	LR: 0.000800
Training Epoch: 18 [45056/47500]	Loss: 0.2230	LR: 0.000800
Training Epoch: 18 [45312/47500]	Loss: 0.2069	LR: 0.000800
Training Epoch: 18 [45568/47500]	Loss: 0.2765	LR: 0.000800
Training Epoch: 18 [45824/47500]	Loss: 0.2545	LR: 0.000800
Training Epoch: 18 [46080/47500]	Loss: 0.2154	LR: 0.000800
Training Epoch: 18 [46336/47500]	Loss: 0.3799	LR: 0.000800
Training Epoch: 18 [46592/47500]	Loss: 0.2840	LR: 0.000800
Training Epoch: 18 [46848/47500]	Loss: 0.3070	LR: 0.000800
Training Epoch: 18 [47104/47500]	Loss: 0.2487	LR: 0.000800
Training Epoch: 18 [47360/47500]	Loss: 0.2607	LR: 0.000800
Training Epoch: 18 [47500/47500]	Loss: 0.2449	LR: 0.000800
Epoch 18 - Average Train Loss: 0.2748, Train Accuracy: 0.9046
Epoch 18 training time consumed: 29.44s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0013, Accuracy: 0.8882, Time consumed:0.92s
Training Epoch: 19 [256/47500]	Loss: 0.3225	LR: 0.000800
Training Epoch: 19 [512/47500]	Loss: 0.2608	LR: 0.000800
Training Epoch: 19 [768/47500]	Loss: 0.2000	LR: 0.000800
Training Epoch: 19 [1024/47500]	Loss: 0.2587	LR: 0.000800
Training Epoch: 19 [1280/47500]	Loss: 0.2307	LR: 0.000800
Training Epoch: 19 [1536/47500]	Loss: 0.2431	LR: 0.000800
Training Epoch: 19 [1792/47500]	Loss: 0.2253	LR: 0.000800
Training Epoch: 19 [2048/47500]	Loss: 0.2148	LR: 0.000800
Training Epoch: 19 [2304/47500]	Loss: 0.2895	LR: 0.000800
Training Epoch: 19 [2560/47500]	Loss: 0.2515	LR: 0.000800
Training Epoch: 19 [2816/47500]	Loss: 0.2415	LR: 0.000800
Training Epoch: 19 [3072/47500]	Loss: 0.2709	LR: 0.000800
Training Epoch: 19 [3328/47500]	Loss: 0.2331	LR: 0.000800
Training Epoch: 19 [3584/47500]	Loss: 0.2647	LR: 0.000800
Training Epoch: 19 [3840/47500]	Loss: 0.2668	LR: 0.000800
Training Epoch: 19 [4096/47500]	Loss: 0.2468	LR: 0.000800
Training Epoch: 19 [4352/47500]	Loss: 0.3065	LR: 0.000800
Training Epoch: 19 [4608/47500]	Loss: 0.2721	LR: 0.000800
Training Epoch: 19 [4864/47500]	Loss: 0.3295	LR: 0.000800
Training Epoch: 19 [5120/47500]	Loss: 0.3097	LR: 0.000800
Training Epoch: 19 [5376/47500]	Loss: 0.2543	LR: 0.000800
Training Epoch: 19 [5632/47500]	Loss: 0.2609	LR: 0.000800
Training Epoch: 19 [5888/47500]	Loss: 0.1923	LR: 0.000800
Training Epoch: 19 [6144/47500]	Loss: 0.2645	LR: 0.000800
Training Epoch: 19 [6400/47500]	Loss: 0.2798	LR: 0.000800
Training Epoch: 19 [6656/47500]	Loss: 0.2794	LR: 0.000800
Training Epoch: 19 [6912/47500]	Loss: 0.3404	LR: 0.000800
Training Epoch: 19 [7168/47500]	Loss: 0.3270	LR: 0.000800
Training Epoch: 19 [7424/47500]	Loss: 0.2620	LR: 0.000800
Training Epoch: 19 [7680/47500]	Loss: 0.3083	LR: 0.000800
Training Epoch: 19 [7936/47500]	Loss: 0.1639	LR: 0.000800
Training Epoch: 19 [8192/47500]	Loss: 0.2291	LR: 0.000800
Training Epoch: 19 [8448/47500]	Loss: 0.2252	LR: 0.000800
Training Epoch: 19 [8704/47500]	Loss: 0.2999	LR: 0.000800
Training Epoch: 19 [8960/47500]	Loss: 0.2705	LR: 0.000800
Training Epoch: 19 [9216/47500]	Loss: 0.2128	LR: 0.000800
Training Epoch: 19 [9472/47500]	Loss: 0.3847	LR: 0.000800
Training Epoch: 19 [9728/47500]	Loss: 0.1745	LR: 0.000800
Training Epoch: 19 [9984/47500]	Loss: 0.3856	LR: 0.000800
Training Epoch: 19 [10240/47500]	Loss: 0.2962	LR: 0.000800
Training Epoch: 19 [10496/47500]	Loss: 0.2709	LR: 0.000800
Training Epoch: 19 [10752/47500]	Loss: 0.2388	LR: 0.000800
Training Epoch: 19 [11008/47500]	Loss: 0.2356	LR: 0.000800
Training Epoch: 19 [11264/47500]	Loss: 0.2906	LR: 0.000800
Training Epoch: 19 [11520/47500]	Loss: 0.3606	LR: 0.000800
Training Epoch: 19 [11776/47500]	Loss: 0.2574	LR: 0.000800
Training Epoch: 19 [12032/47500]	Loss: 0.2894	LR: 0.000800
Training Epoch: 19 [12288/47500]	Loss: 0.2675	LR: 0.000800
Training Epoch: 19 [12544/47500]	Loss: 0.2385	LR: 0.000800
Training Epoch: 19 [12800/47500]	Loss: 0.2354	LR: 0.000800
Training Epoch: 19 [13056/47500]	Loss: 0.2745	LR: 0.000800
Training Epoch: 19 [13312/47500]	Loss: 0.2028	LR: 0.000800
Training Epoch: 19 [13568/47500]	Loss: 0.2886	LR: 0.000800
Training Epoch: 19 [13824/47500]	Loss: 0.2531	LR: 0.000800
Training Epoch: 19 [14080/47500]	Loss: 0.2129	LR: 0.000800
Training Epoch: 19 [14336/47500]	Loss: 0.3194	LR: 0.000800
Training Epoch: 19 [14592/47500]	Loss: 0.2725	LR: 0.000800
Training Epoch: 19 [14848/47500]	Loss: 0.2285	LR: 0.000800
Training Epoch: 19 [15104/47500]	Loss: 0.2886	LR: 0.000800
Training Epoch: 19 [15360/47500]	Loss: 0.2534	LR: 0.000800
Training Epoch: 19 [15616/47500]	Loss: 0.3176	LR: 0.000800
Training Epoch: 19 [15872/47500]	Loss: 0.2526	LR: 0.000800
Training Epoch: 19 [16128/47500]	Loss: 0.2501	LR: 0.000800
Training Epoch: 19 [16384/47500]	Loss: 0.2941	LR: 0.000800
Training Epoch: 19 [16640/47500]	Loss: 0.2722	LR: 0.000800
Training Epoch: 19 [16896/47500]	Loss: 0.2980	LR: 0.000800
Training Epoch: 19 [17152/47500]	Loss: 0.2228	LR: 0.000800
Training Epoch: 19 [17408/47500]	Loss: 0.2867	LR: 0.000800
Training Epoch: 19 [17664/47500]	Loss: 0.1899	LR: 0.000800
Training Epoch: 19 [17920/47500]	Loss: 0.2083	LR: 0.000800
Training Epoch: 19 [18176/47500]	Loss: 0.2466	LR: 0.000800
Training Epoch: 19 [18432/47500]	Loss: 0.2944	LR: 0.000800
Training Epoch: 19 [18688/47500]	Loss: 0.1893	LR: 0.000800
Training Epoch: 19 [18944/47500]	Loss: 0.2398	LR: 0.000800
Training Epoch: 19 [19200/47500]	Loss: 0.2850	LR: 0.000800
Training Epoch: 19 [19456/47500]	Loss: 0.2827	LR: 0.000800
Training Epoch: 19 [19712/47500]	Loss: 0.2373	LR: 0.000800
Training Epoch: 19 [19968/47500]	Loss: 0.2535	LR: 0.000800
Training Epoch: 19 [20224/47500]	Loss: 0.2956	LR: 0.000800
Training Epoch: 19 [20480/47500]	Loss: 0.3016	LR: 0.000800
Training Epoch: 19 [20736/47500]	Loss: 0.2711	LR: 0.000800
Training Epoch: 19 [20992/47500]	Loss: 0.2852	LR: 0.000800
Training Epoch: 19 [21248/47500]	Loss: 0.4002	LR: 0.000800
Training Epoch: 19 [21504/47500]	Loss: 0.2789	LR: 0.000800
Training Epoch: 19 [21760/47500]	Loss: 0.2161	LR: 0.000800
Training Epoch: 19 [22016/47500]	Loss: 0.3030	LR: 0.000800
Training Epoch: 19 [22272/47500]	Loss: 0.2591	LR: 0.000800
Training Epoch: 19 [22528/47500]	Loss: 0.2584	LR: 0.000800
Training Epoch: 19 [22784/47500]	Loss: 0.3174	LR: 0.000800
Training Epoch: 19 [23040/47500]	Loss: 0.2217	LR: 0.000800
Training Epoch: 19 [23296/47500]	Loss: 0.2537	LR: 0.000800
Training Epoch: 19 [23552/47500]	Loss: 0.2464	LR: 0.000800
Training Epoch: 19 [23808/47500]	Loss: 0.2488	LR: 0.000800
Training Epoch: 19 [24064/47500]	Loss: 0.3398	LR: 0.000800
Training Epoch: 19 [24320/47500]	Loss: 0.2360	LR: 0.000800
Training Epoch: 19 [24576/47500]	Loss: 0.2603	LR: 0.000800
Training Epoch: 19 [24832/47500]	Loss: 0.2615	LR: 0.000800
Training Epoch: 19 [25088/47500]	Loss: 0.2319	LR: 0.000800
Training Epoch: 19 [25344/47500]	Loss: 0.2659	LR: 0.000800
Training Epoch: 19 [25600/47500]	Loss: 0.2186	LR: 0.000800
Training Epoch: 19 [25856/47500]	Loss: 0.3608	LR: 0.000800
Training Epoch: 19 [26112/47500]	Loss: 0.2293	LR: 0.000800
Training Epoch: 19 [26368/47500]	Loss: 0.2462	LR: 0.000800
Training Epoch: 19 [26624/47500]	Loss: 0.4031	LR: 0.000800
Training Epoch: 19 [26880/47500]	Loss: 0.2038	LR: 0.000800
Training Epoch: 19 [27136/47500]	Loss: 0.2755	LR: 0.000800
Training Epoch: 19 [27392/47500]	Loss: 0.2284	LR: 0.000800
Training Epoch: 19 [27648/47500]	Loss: 0.2429	LR: 0.000800
Training Epoch: 19 [27904/47500]	Loss: 0.3097	LR: 0.000800
Training Epoch: 19 [28160/47500]	Loss: 0.3258	LR: 0.000800
Training Epoch: 19 [28416/47500]	Loss: 0.2447	LR: 0.000800
Training Epoch: 19 [28672/47500]	Loss: 0.3546	LR: 0.000800
Training Epoch: 19 [28928/47500]	Loss: 0.2338	LR: 0.000800
Training Epoch: 19 [29184/47500]	Loss: 0.2668	LR: 0.000800
Training Epoch: 19 [29440/47500]	Loss: 0.2859	LR: 0.000800
Training Epoch: 19 [29696/47500]	Loss: 0.2660	LR: 0.000800
Training Epoch: 19 [29952/47500]	Loss: 0.3269	LR: 0.000800
Training Epoch: 19 [30208/47500]	Loss: 0.2211	LR: 0.000800
Training Epoch: 19 [30464/47500]	Loss: 0.2843	LR: 0.000800
Training Epoch: 19 [30720/47500]	Loss: 0.2294	LR: 0.000800
Training Epoch: 19 [30976/47500]	Loss: 0.2504	LR: 0.000800
Training Epoch: 19 [31232/47500]	Loss: 0.2238	LR: 0.000800
Training Epoch: 19 [31488/47500]	Loss: 0.2698	LR: 0.000800
Training Epoch: 19 [31744/47500]	Loss: 0.3480	LR: 0.000800
Training Epoch: 19 [32000/47500]	Loss: 0.1815	LR: 0.000800
Training Epoch: 19 [32256/47500]	Loss: 0.3186	LR: 0.000800
Training Epoch: 19 [32512/47500]	Loss: 0.2673	LR: 0.000800
Training Epoch: 19 [32768/47500]	Loss: 0.2268	LR: 0.000800
Training Epoch: 19 [33024/47500]	Loss: 0.2878	LR: 0.000800
Training Epoch: 19 [33280/47500]	Loss: 0.2708	LR: 0.000800
Training Epoch: 19 [33536/47500]	Loss: 0.3628	LR: 0.000800
Training Epoch: 19 [33792/47500]	Loss: 0.3418	LR: 0.000800
Training Epoch: 19 [34048/47500]	Loss: 0.2253	LR: 0.000800
Training Epoch: 19 [34304/47500]	Loss: 0.3527	LR: 0.000800
Training Epoch: 19 [34560/47500]	Loss: 0.2691	LR: 0.000800
Training Epoch: 19 [34816/47500]	Loss: 0.2846	LR: 0.000800
Training Epoch: 19 [35072/47500]	Loss: 0.2535	LR: 0.000800
Training Epoch: 19 [35328/47500]	Loss: 0.3034	LR: 0.000800
Training Epoch: 19 [35584/47500]	Loss: 0.3003	LR: 0.000800
Training Epoch: 19 [35840/47500]	Loss: 0.2935	LR: 0.000800
Training Epoch: 19 [36096/47500]	Loss: 0.2117	LR: 0.000800
Training Epoch: 19 [36352/47500]	Loss: 0.2104	LR: 0.000800
Training Epoch: 19 [36608/47500]	Loss: 0.2058	LR: 0.000800
Training Epoch: 19 [36864/47500]	Loss: 0.2033	LR: 0.000800
Training Epoch: 19 [37120/47500]	Loss: 0.2976	LR: 0.000800
Training Epoch: 19 [37376/47500]	Loss: 0.3589	LR: 0.000800
Training Epoch: 19 [37632/47500]	Loss: 0.2837	LR: 0.000800
Training Epoch: 19 [37888/47500]	Loss: 0.3158	LR: 0.000800
Training Epoch: 19 [38144/47500]	Loss: 0.2709	LR: 0.000800
Training Epoch: 19 [38400/47500]	Loss: 0.1767	LR: 0.000800
Training Epoch: 19 [38656/47500]	Loss: 0.2778	LR: 0.000800
Training Epoch: 19 [38912/47500]	Loss: 0.2801	LR: 0.000800
Training Epoch: 19 [39168/47500]	Loss: 0.3311	LR: 0.000800
Training Epoch: 19 [39424/47500]	Loss: 0.2531	LR: 0.000800
Training Epoch: 19 [39680/47500]	Loss: 0.2453	LR: 0.000800
Training Epoch: 19 [39936/47500]	Loss: 0.3173	LR: 0.000800
Training Epoch: 19 [40192/47500]	Loss: 0.2381	LR: 0.000800
Training Epoch: 19 [40448/47500]	Loss: 0.2369	LR: 0.000800
Training Epoch: 19 [40704/47500]	Loss: 0.2682	LR: 0.000800
Training Epoch: 19 [40960/47500]	Loss: 0.2738	LR: 0.000800
Training Epoch: 19 [41216/47500]	Loss: 0.2152	LR: 0.000800
Training Epoch: 19 [41472/47500]	Loss: 0.2976	LR: 0.000800
Training Epoch: 19 [41728/47500]	Loss: 0.2451	LR: 0.000800
Training Epoch: 19 [41984/47500]	Loss: 0.2296	LR: 0.000800
Training Epoch: 19 [42240/47500]	Loss: 0.2890	LR: 0.000800
Training Epoch: 19 [42496/47500]	Loss: 0.2411	LR: 0.000800
Training Epoch: 19 [42752/47500]	Loss: 0.2843	LR: 0.000800
Training Epoch: 19 [43008/47500]	Loss: 0.3198	LR: 0.000800
Training Epoch: 19 [43264/47500]	Loss: 0.2032	LR: 0.000800
Training Epoch: 19 [43520/47500]	Loss: 0.2524	LR: 0.000800
Training Epoch: 19 [43776/47500]	Loss: 0.2467	LR: 0.000800
Training Epoch: 19 [44032/47500]	Loss: 0.2776	LR: 0.000800
Training Epoch: 19 [44288/47500]	Loss: 0.2548	LR: 0.000800
Training Epoch: 19 [44544/47500]	Loss: 0.2750	LR: 0.000800
Training Epoch: 19 [44800/47500]	Loss: 0.3019	LR: 0.000800
Training Epoch: 19 [45056/47500]	Loss: 0.2651	LR: 0.000800
Training Epoch: 19 [45312/47500]	Loss: 0.3252	LR: 0.000800
Training Epoch: 19 [45568/47500]	Loss: 0.3339	LR: 0.000800
Training Epoch: 19 [45824/47500]	Loss: 0.2444	LR: 0.000800
Training Epoch: 19 [46080/47500]	Loss: 0.3730	LR: 0.000800
Training Epoch: 19 [46336/47500]	Loss: 0.3376	LR: 0.000800
Training Epoch: 19 [46592/47500]	Loss: 0.2077	LR: 0.000800
Training Epoch: 19 [46848/47500]	Loss: 0.3153	LR: 0.000800
Training Epoch: 19 [47104/47500]	Loss: 0.3233	LR: 0.000800
Training Epoch: 19 [47360/47500]	Loss: 0.2919	LR: 0.000800
Training Epoch: 19 [47500/47500]	Loss: 0.2262	LR: 0.000800
Epoch 19 - Average Train Loss: 0.2696, Train Accuracy: 0.9061
Epoch 19 training time consumed: 29.10s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0013, Accuracy: 0.8894, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_09h_43m_21s/ResNet18-Cifar10-seed2-ret50-19-best.pth
Training Epoch: 20 [256/47500]	Loss: 0.2553	LR: 0.000800
Training Epoch: 20 [512/47500]	Loss: 0.3292	LR: 0.000800
Training Epoch: 20 [768/47500]	Loss: 0.3076	LR: 0.000800
Training Epoch: 20 [1024/47500]	Loss: 0.3006	LR: 0.000800
Training Epoch: 20 [1280/47500]	Loss: 0.2118	LR: 0.000800
Training Epoch: 20 [1536/47500]	Loss: 0.2173	LR: 0.000800
Training Epoch: 20 [1792/47500]	Loss: 0.2391	LR: 0.000800
Training Epoch: 20 [2048/47500]	Loss: 0.2977	LR: 0.000800
Training Epoch: 20 [2304/47500]	Loss: 0.2616	LR: 0.000800
Training Epoch: 20 [2560/47500]	Loss: 0.2869	LR: 0.000800
Training Epoch: 20 [2816/47500]	Loss: 0.2568	LR: 0.000800
Training Epoch: 20 [3072/47500]	Loss: 0.3678	LR: 0.000800
Training Epoch: 20 [3328/47500]	Loss: 0.2447	LR: 0.000800
Training Epoch: 20 [3584/47500]	Loss: 0.2811	LR: 0.000800
Training Epoch: 20 [3840/47500]	Loss: 0.2989	LR: 0.000800
Training Epoch: 20 [4096/47500]	Loss: 0.2328	LR: 0.000800
Training Epoch: 20 [4352/47500]	Loss: 0.2755	LR: 0.000800
Training Epoch: 20 [4608/47500]	Loss: 0.3105	LR: 0.000800
Training Epoch: 20 [4864/47500]	Loss: 0.2356	LR: 0.000800
Training Epoch: 20 [5120/47500]	Loss: 0.3510	LR: 0.000800
Training Epoch: 20 [5376/47500]	Loss: 0.2629	LR: 0.000800
Training Epoch: 20 [5632/47500]	Loss: 0.2808	LR: 0.000800
Training Epoch: 20 [5888/47500]	Loss: 0.2104	LR: 0.000800
Training Epoch: 20 [6144/47500]	Loss: 0.2539	LR: 0.000800
Training Epoch: 20 [6400/47500]	Loss: 0.2929	LR: 0.000800
Training Epoch: 20 [6656/47500]	Loss: 0.2569	LR: 0.000800
Training Epoch: 20 [6912/47500]	Loss: 0.3091	LR: 0.000800
Training Epoch: 20 [7168/47500]	Loss: 0.2314	LR: 0.000800
Training Epoch: 20 [7424/47500]	Loss: 0.2489	LR: 0.000800
Training Epoch: 20 [7680/47500]	Loss: 0.2542	LR: 0.000800
Training Epoch: 20 [7936/47500]	Loss: 0.2817	LR: 0.000800
Training Epoch: 20 [8192/47500]	Loss: 0.3389	LR: 0.000800
Training Epoch: 20 [8448/47500]	Loss: 0.2315	LR: 0.000800
Training Epoch: 20 [8704/47500]	Loss: 0.2998	LR: 0.000800
Training Epoch: 20 [8960/47500]	Loss: 0.2718	LR: 0.000800
Training Epoch: 20 [9216/47500]	Loss: 0.1987	LR: 0.000800
Training Epoch: 20 [9472/47500]	Loss: 0.2937	LR: 0.000800
Training Epoch: 20 [9728/47500]	Loss: 0.2730	LR: 0.000800
Training Epoch: 20 [9984/47500]	Loss: 0.2509	LR: 0.000800
Training Epoch: 20 [10240/47500]	Loss: 0.3181	LR: 0.000800
Training Epoch: 20 [10496/47500]	Loss: 0.3089	LR: 0.000800
Training Epoch: 20 [10752/47500]	Loss: 0.2794	LR: 0.000800
Training Epoch: 20 [11008/47500]	Loss: 0.3186	LR: 0.000800
Training Epoch: 20 [11264/47500]	Loss: 0.3355	LR: 0.000800
Training Epoch: 20 [11520/47500]	Loss: 0.2874	LR: 0.000800
Training Epoch: 20 [11776/47500]	Loss: 0.2002	LR: 0.000800
Training Epoch: 20 [12032/47500]	Loss: 0.2233	LR: 0.000800
Training Epoch: 20 [12288/47500]	Loss: 0.2807	LR: 0.000800
Training Epoch: 20 [12544/47500]	Loss: 0.2500	LR: 0.000800
Training Epoch: 20 [12800/47500]	Loss: 0.2790	LR: 0.000800
Training Epoch: 20 [13056/47500]	Loss: 0.2856	LR: 0.000800
Training Epoch: 20 [13312/47500]	Loss: 0.3296	LR: 0.000800
Training Epoch: 20 [13568/47500]	Loss: 0.2543	LR: 0.000800
Training Epoch: 20 [13824/47500]	Loss: 0.3243	LR: 0.000800
Training Epoch: 20 [14080/47500]	Loss: 0.2642	LR: 0.000800
Training Epoch: 20 [14336/47500]	Loss: 0.3115	LR: 0.000800
Training Epoch: 20 [14592/47500]	Loss: 0.2547	LR: 0.000800
Training Epoch: 20 [14848/47500]	Loss: 0.2179	LR: 0.000800
Training Epoch: 20 [15104/47500]	Loss: 0.2917	LR: 0.000800
Training Epoch: 20 [15360/47500]	Loss: 0.2410	LR: 0.000800
Training Epoch: 20 [15616/47500]	Loss: 0.3071	LR: 0.000800
Training Epoch: 20 [15872/47500]	Loss: 0.3359	LR: 0.000800
Training Epoch: 20 [16128/47500]	Loss: 0.1561	LR: 0.000800
Training Epoch: 20 [16384/47500]	Loss: 0.2356	LR: 0.000800
Training Epoch: 20 [16640/47500]	Loss: 0.3132	LR: 0.000800
Training Epoch: 20 [16896/47500]	Loss: 0.2519	LR: 0.000800
Training Epoch: 20 [17152/47500]	Loss: 0.3113	LR: 0.000800
Training Epoch: 20 [17408/47500]	Loss: 0.1883	LR: 0.000800
Training Epoch: 20 [17664/47500]	Loss: 0.3754	LR: 0.000800
Training Epoch: 20 [17920/47500]	Loss: 0.2635	LR: 0.000800
Training Epoch: 20 [18176/47500]	Loss: 0.2437	LR: 0.000800
Training Epoch: 20 [18432/47500]	Loss: 0.2856	LR: 0.000800
Training Epoch: 20 [18688/47500]	Loss: 0.2406	LR: 0.000800
Training Epoch: 20 [18944/47500]	Loss: 0.2733	LR: 0.000800
Training Epoch: 20 [19200/47500]	Loss: 0.1989	LR: 0.000800
Training Epoch: 20 [19456/47500]	Loss: 0.1964	LR: 0.000800
Training Epoch: 20 [19712/47500]	Loss: 0.1994	LR: 0.000800
Training Epoch: 20 [19968/47500]	Loss: 0.2242	LR: 0.000800
Training Epoch: 20 [20224/47500]	Loss: 0.2713	LR: 0.000800
Training Epoch: 20 [20480/47500]	Loss: 0.2818	LR: 0.000800
Training Epoch: 20 [20736/47500]	Loss: 0.2841	LR: 0.000800
Training Epoch: 20 [20992/47500]	Loss: 0.2227	LR: 0.000800
Training Epoch: 20 [21248/47500]	Loss: 0.3514	LR: 0.000800
Training Epoch: 20 [21504/47500]	Loss: 0.2697	LR: 0.000800
Training Epoch: 20 [21760/47500]	Loss: 0.2286	LR: 0.000800
Training Epoch: 20 [22016/47500]	Loss: 0.3293	LR: 0.000800
Training Epoch: 20 [22272/47500]	Loss: 0.2861	LR: 0.000800
Training Epoch: 20 [22528/47500]	Loss: 0.3281	LR: 0.000800
Training Epoch: 20 [22784/47500]	Loss: 0.2637	LR: 0.000800
Training Epoch: 20 [23040/47500]	Loss: 0.2367	LR: 0.000800
Training Epoch: 20 [23296/47500]	Loss: 0.2386	LR: 0.000800
Training Epoch: 20 [23552/47500]	Loss: 0.2710	LR: 0.000800
Training Epoch: 20 [23808/47500]	Loss: 0.2209	LR: 0.000800
Training Epoch: 20 [24064/47500]	Loss: 0.2615	LR: 0.000800
Training Epoch: 20 [24320/47500]	Loss: 0.2304	LR: 0.000800
Training Epoch: 20 [24576/47500]	Loss: 0.2006	LR: 0.000800
Training Epoch: 20 [24832/47500]	Loss: 0.2212	LR: 0.000800
Training Epoch: 20 [25088/47500]	Loss: 0.2939	LR: 0.000800
Training Epoch: 20 [25344/47500]	Loss: 0.2689	LR: 0.000800
Training Epoch: 20 [25600/47500]	Loss: 0.2581	LR: 0.000800
Training Epoch: 20 [25856/47500]	Loss: 0.2322	LR: 0.000800
Training Epoch: 20 [26112/47500]	Loss: 0.2779	LR: 0.000800
Training Epoch: 20 [26368/47500]	Loss: 0.3096	LR: 0.000800
Training Epoch: 20 [26624/47500]	Loss: 0.2831	LR: 0.000800
Training Epoch: 20 [26880/47500]	Loss: 0.2581	LR: 0.000800
Training Epoch: 20 [27136/47500]	Loss: 0.2051	LR: 0.000800
Training Epoch: 20 [27392/47500]	Loss: 0.2286	LR: 0.000800
Training Epoch: 20 [27648/47500]	Loss: 0.2897	LR: 0.000800
Training Epoch: 20 [27904/47500]	Loss: 0.2278	LR: 0.000800
Training Epoch: 20 [28160/47500]	Loss: 0.3012	LR: 0.000800
Training Epoch: 20 [28416/47500]	Loss: 0.2670	LR: 0.000800
Training Epoch: 20 [28672/47500]	Loss: 0.2496	LR: 0.000800
Training Epoch: 20 [28928/47500]	Loss: 0.2587	LR: 0.000800
Training Epoch: 20 [29184/47500]	Loss: 0.2552	LR: 0.000800
Training Epoch: 20 [29440/47500]	Loss: 0.1985	LR: 0.000800
Training Epoch: 20 [29696/47500]	Loss: 0.2379	LR: 0.000800
Training Epoch: 20 [29952/47500]	Loss: 0.2287	LR: 0.000800
Training Epoch: 20 [30208/47500]	Loss: 0.2535	LR: 0.000800
Training Epoch: 20 [30464/47500]	Loss: 0.2219	LR: 0.000800
Training Epoch: 20 [30720/47500]	Loss: 0.2902	LR: 0.000800
Training Epoch: 20 [30976/47500]	Loss: 0.2703	LR: 0.000800
Training Epoch: 20 [31232/47500]	Loss: 0.2756	LR: 0.000800
Training Epoch: 20 [31488/47500]	Loss: 0.2132	LR: 0.000800
Training Epoch: 20 [31744/47500]	Loss: 0.2351	LR: 0.000800
Training Epoch: 20 [32000/47500]	Loss: 0.2587	LR: 0.000800
Training Epoch: 20 [32256/47500]	Loss: 0.2353	LR: 0.000800
Training Epoch: 20 [32512/47500]	Loss: 0.3006	LR: 0.000800
Training Epoch: 20 [32768/47500]	Loss: 0.2792	LR: 0.000800
Training Epoch: 20 [33024/47500]	Loss: 0.2849	LR: 0.000800
Training Epoch: 20 [33280/47500]	Loss: 0.2342	LR: 0.000800
Training Epoch: 20 [33536/47500]	Loss: 0.2346	LR: 0.000800
Training Epoch: 20 [33792/47500]	Loss: 0.3394	LR: 0.000800
Training Epoch: 20 [34048/47500]	Loss: 0.3285	LR: 0.000800
Training Epoch: 20 [34304/47500]	Loss: 0.3282	LR: 0.000800
Training Epoch: 20 [34560/47500]	Loss: 0.2790	LR: 0.000800
Training Epoch: 20 [34816/47500]	Loss: 0.2520	LR: 0.000800
Training Epoch: 20 [35072/47500]	Loss: 0.1724	LR: 0.000800
Training Epoch: 20 [35328/47500]	Loss: 0.2718	LR: 0.000800
Training Epoch: 20 [35584/47500]	Loss: 0.2203	LR: 0.000800
Training Epoch: 20 [35840/47500]	Loss: 0.2511	LR: 0.000800
Training Epoch: 20 [36096/47500]	Loss: 0.2571	LR: 0.000800
Training Epoch: 20 [36352/47500]	Loss: 0.2734	LR: 0.000800
Training Epoch: 20 [36608/47500]	Loss: 0.2196	LR: 0.000800
Training Epoch: 20 [36864/47500]	Loss: 0.2813	LR: 0.000800
Training Epoch: 20 [37120/47500]	Loss: 0.3034	LR: 0.000800
Training Epoch: 20 [37376/47500]	Loss: 0.2558	LR: 0.000800
Training Epoch: 20 [37632/47500]	Loss: 0.4029	LR: 0.000800
Training Epoch: 20 [37888/47500]	Loss: 0.2273	LR: 0.000800
Training Epoch: 20 [38144/47500]	Loss: 0.2497	LR: 0.000800
Training Epoch: 20 [38400/47500]	Loss: 0.2691	LR: 0.000800
Training Epoch: 20 [38656/47500]	Loss: 0.2439	LR: 0.000800
Training Epoch: 20 [38912/47500]	Loss: 0.3769	LR: 0.000800
Training Epoch: 20 [39168/47500]	Loss: 0.2518	LR: 0.000800
Training Epoch: 20 [39424/47500]	Loss: 0.2933	LR: 0.000800
Training Epoch: 20 [39680/47500]	Loss: 0.2739	LR: 0.000800
Training Epoch: 20 [39936/47500]	Loss: 0.3793	LR: 0.000800
Training Epoch: 20 [40192/47500]	Loss: 0.2993	LR: 0.000800
Training Epoch: 20 [40448/47500]	Loss: 0.2424	LR: 0.000800
Training Epoch: 20 [40704/47500]	Loss: 0.2408	LR: 0.000800
Training Epoch: 20 [40960/47500]	Loss: 0.2874	LR: 0.000800
Training Epoch: 20 [41216/47500]	Loss: 0.2734	LR: 0.000800
Training Epoch: 20 [41472/47500]	Loss: 0.2990	LR: 0.000800
Training Epoch: 20 [41728/47500]	Loss: 0.3198	LR: 0.000800
Training Epoch: 20 [41984/47500]	Loss: 0.2359	LR: 0.000800
Training Epoch: 20 [42240/47500]	Loss: 0.2352	LR: 0.000800
Training Epoch: 20 [42496/47500]	Loss: 0.2246	LR: 0.000800
Training Epoch: 20 [42752/47500]	Loss: 0.2636	LR: 0.000800
Training Epoch: 20 [43008/47500]	Loss: 0.2729	LR: 0.000800
Training Epoch: 20 [43264/47500]	Loss: 0.2749	LR: 0.000800
Training Epoch: 20 [43520/47500]	Loss: 0.2393	LR: 0.000800
Training Epoch: 20 [43776/47500]	Loss: 0.2458	LR: 0.000800
Training Epoch: 20 [44032/47500]	Loss: 0.2961	LR: 0.000800
Training Epoch: 20 [44288/47500]	Loss: 0.2707	LR: 0.000800
Training Epoch: 20 [44544/47500]	Loss: 0.2790	LR: 0.000800
Training Epoch: 20 [44800/47500]	Loss: 0.2819	LR: 0.000800
Training Epoch: 20 [45056/47500]	Loss: 0.2878	LR: 0.000800
Training Epoch: 20 [45312/47500]	Loss: 0.2703	LR: 0.000800
Training Epoch: 20 [45568/47500]	Loss: 0.3295	LR: 0.000800
Training Epoch: 20 [45824/47500]	Loss: 0.2221	LR: 0.000800
Training Epoch: 20 [46080/47500]	Loss: 0.3025	LR: 0.000800
Training Epoch: 20 [46336/47500]	Loss: 0.2797	LR: 0.000800
Training Epoch: 20 [46592/47500]	Loss: 0.2680	LR: 0.000800
Training Epoch: 20 [46848/47500]	Loss: 0.3196	LR: 0.000800
Training Epoch: 20 [47104/47500]	Loss: 0.2823	LR: 0.000800
Training Epoch: 20 [47360/47500]	Loss: 0.2560	LR: 0.000800
Training Epoch: 20 [47500/47500]	Loss: 0.4457	LR: 0.000800
Epoch 20 - Average Train Loss: 0.2690, Train Accuracy: 0.9070
Epoch 20 training time consumed: 28.67s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0013, Accuracy: 0.8892, Time consumed:0.90s
Valid (Test) Dl:  10000
Train Dl:  50000
Retain Train Dl:  47500
Forget Train Dl:  2500
Retain Valid Dl:  47500
Forget Valid Dl:  2500
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 2500 samples
Set1 Distribution: 2500 samples
Set2 Distribution: 2500 samples
Set1 Distribution: 2500 samples
Set2 Distribution: 2500 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Test Accuracy: 89.033203125
Retain Accuracy: 91.09597778320312
Zero-Retain Forget (ZRF): 0.8328661322593689
Membership Inference Attack (MIA): 0.6096
Forget vs Retain Membership Inference Attack (MIA): 0.511
Forget vs Test Membership Inference Attack (MIA): 0.548
Test vs Retain Membership Inference Attack (MIA): 0.5075
Train vs Test Membership Inference Attack (MIA): 0.51525
Forget Set Accuracy (Df): 87.72322082519531
Method Execution Time: 1546.82 seconds
