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

Updated class distribution:
Retain set:
  Class 0: 4750
  Class 1: 4750
  Class 2: 4750
  Class 3: 4750
  Class 4: 4750
  Class 5: 4750
  Class 6: 4750
  Class 7: 4750
  Class 8: 4750
  Class 9: 4750
Forget set:
  Class 0: 250
  Class 1: 250
  Class 2: 250
  Class 3: 250
  Class 4: 250
  Class 5: 250
  Class 6: 250
  Class 7: 250
  Class 8: 250
  Class 9: 250
⚠️ Warning: Retain train loader may not be shuffled.
Training Epoch: 1 [256/47500]	Loss: 2.3151	LR: 0.000000
Training Epoch: 1 [512/47500]	Loss: 2.3232	LR: 0.000538
Training Epoch: 1 [768/47500]	Loss: 2.3081	LR: 0.001075
Training Epoch: 1 [1024/47500]	Loss: 2.2983	LR: 0.001613
Training Epoch: 1 [1280/47500]	Loss: 2.2947	LR: 0.002151
Training Epoch: 1 [1536/47500]	Loss: 2.2856	LR: 0.002688
Training Epoch: 1 [1792/47500]	Loss: 2.2665	LR: 0.003226
Training Epoch: 1 [2048/47500]	Loss: 2.2167	LR: 0.003763
Training Epoch: 1 [2304/47500]	Loss: 2.2793	LR: 0.004301
Training Epoch: 1 [2560/47500]	Loss: 2.1605	LR: 0.004839
Training Epoch: 1 [2816/47500]	Loss: 2.2026	LR: 0.005376
Training Epoch: 1 [3072/47500]	Loss: 2.1326	LR: 0.005914
Training Epoch: 1 [3328/47500]	Loss: 2.2009	LR: 0.006452
Training Epoch: 1 [3584/47500]	Loss: 2.1805	LR: 0.006989
Training Epoch: 1 [3840/47500]	Loss: 2.0487	LR: 0.007527
Training Epoch: 1 [4096/47500]	Loss: 2.0073	LR: 0.008065
Training Epoch: 1 [4352/47500]	Loss: 2.0291	LR: 0.008602
Training Epoch: 1 [4608/47500]	Loss: 1.9565	LR: 0.009140
Training Epoch: 1 [4864/47500]	Loss: 1.9304	LR: 0.009677
Training Epoch: 1 [5120/47500]	Loss: 1.9723	LR: 0.010215
Training Epoch: 1 [5376/47500]	Loss: 2.0423	LR: 0.010753
Training Epoch: 1 [5632/47500]	Loss: 1.9581	LR: 0.011290
Training Epoch: 1 [5888/47500]	Loss: 1.8308	LR: 0.011828
Training Epoch: 1 [6144/47500]	Loss: 1.8419	LR: 0.012366
Training Epoch: 1 [6400/47500]	Loss: 1.9335	LR: 0.012903
Training Epoch: 1 [6656/47500]	Loss: 1.9650	LR: 0.013441
Training Epoch: 1 [6912/47500]	Loss: 1.7968	LR: 0.013978
Training Epoch: 1 [7168/47500]	Loss: 1.9443	LR: 0.014516
Training Epoch: 1 [7424/47500]	Loss: 1.8912	LR: 0.015054
Training Epoch: 1 [7680/47500]	Loss: 1.7914	LR: 0.015591
Training Epoch: 1 [7936/47500]	Loss: 1.7834	LR: 0.016129
Training Epoch: 1 [8192/47500]	Loss: 1.8726	LR: 0.016667
Training Epoch: 1 [8448/47500]	Loss: 1.8076	LR: 0.017204
Training Epoch: 1 [8704/47500]	Loss: 1.7407	LR: 0.017742
Training Epoch: 1 [8960/47500]	Loss: 1.7973	LR: 0.018280
Training Epoch: 1 [9216/47500]	Loss: 1.8205	LR: 0.018817
Training Epoch: 1 [9472/47500]	Loss: 1.7798	LR: 0.019355
Training Epoch: 1 [9728/47500]	Loss: 1.7956	LR: 0.019892
Training Epoch: 1 [9984/47500]	Loss: 1.7425	LR: 0.020430
Training Epoch: 1 [10240/47500]	Loss: 1.9196	LR: 0.020968
Training Epoch: 1 [10496/47500]	Loss: 1.6584	LR: 0.021505
Training Epoch: 1 [10752/47500]	Loss: 1.8917	LR: 0.022043
Training Epoch: 1 [11008/47500]	Loss: 1.9444	LR: 0.022581
Training Epoch: 1 [11264/47500]	Loss: 1.7072	LR: 0.023118
Training Epoch: 1 [11520/47500]	Loss: 1.7485	LR: 0.023656
Training Epoch: 1 [11776/47500]	Loss: 1.7334	LR: 0.024194
Training Epoch: 1 [12032/47500]	Loss: 1.7333	LR: 0.024731
Training Epoch: 1 [12288/47500]	Loss: 1.8110	LR: 0.025269
Training Epoch: 1 [12544/47500]	Loss: 1.7509	LR: 0.025806
Training Epoch: 1 [12800/47500]	Loss: 1.8035	LR: 0.026344
Training Epoch: 1 [13056/47500]	Loss: 1.7139	LR: 0.026882
Training Epoch: 1 [13312/47500]	Loss: 1.7270	LR: 0.027419
Training Epoch: 1 [13568/47500]	Loss: 1.9123	LR: 0.027957
Training Epoch: 1 [13824/47500]	Loss: 1.6978	LR: 0.028495
Training Epoch: 1 [14080/47500]	Loss: 1.7403	LR: 0.029032
Training Epoch: 1 [14336/47500]	Loss: 1.8405	LR: 0.029570
Training Epoch: 1 [14592/47500]	Loss: 1.6899	LR: 0.030108
Training Epoch: 1 [14848/47500]	Loss: 1.7295	LR: 0.030645
Training Epoch: 1 [15104/47500]	Loss: 1.7381	LR: 0.031183
Training Epoch: 1 [15360/47500]	Loss: 1.6282	LR: 0.031720
Training Epoch: 1 [15616/47500]	Loss: 1.8743	LR: 0.032258
Training Epoch: 1 [15872/47500]	Loss: 1.6553	LR: 0.032796
Training Epoch: 1 [16128/47500]	Loss: 1.8116	LR: 0.033333
Training Epoch: 1 [16384/47500]	Loss: 1.8037	LR: 0.033871
Training Epoch: 1 [16640/47500]	Loss: 1.7880	LR: 0.034409
Training Epoch: 1 [16896/47500]	Loss: 1.6402	LR: 0.034946
Training Epoch: 1 [17152/47500]	Loss: 1.9546	LR: 0.035484
Training Epoch: 1 [17408/47500]	Loss: 1.8770	LR: 0.036022
Training Epoch: 1 [17664/47500]	Loss: 1.5980	LR: 0.036559
Training Epoch: 1 [17920/47500]	Loss: 1.8351	LR: 0.037097
Training Epoch: 1 [18176/47500]	Loss: 1.9640	LR: 0.037634
Training Epoch: 1 [18432/47500]	Loss: 1.8633	LR: 0.038172
Training Epoch: 1 [18688/47500]	Loss: 2.1016	LR: 0.038710
Training Epoch: 1 [18944/47500]	Loss: 1.7081	LR: 0.039247
Training Epoch: 1 [19200/47500]	Loss: 1.7272	LR: 0.039785
Training Epoch: 1 [19456/47500]	Loss: 1.7310	LR: 0.040323
Training Epoch: 1 [19712/47500]	Loss: 1.6292	LR: 0.040860
Training Epoch: 1 [19968/47500]	Loss: 1.4905	LR: 0.041398
Training Epoch: 1 [20224/47500]	Loss: 1.7024	LR: 0.041935
Training Epoch: 1 [20480/47500]	Loss: 1.5655	LR: 0.042473
Training Epoch: 1 [20736/47500]	Loss: 1.7342	LR: 0.043011
Training Epoch: 1 [20992/47500]	Loss: 1.6258	LR: 0.043548
Training Epoch: 1 [21248/47500]	Loss: 1.5610	LR: 0.044086
Training Epoch: 1 [21504/47500]	Loss: 1.7274	LR: 0.044624
Training Epoch: 1 [21760/47500]	Loss: 1.5008	LR: 0.045161
Training Epoch: 1 [22016/47500]	Loss: 1.6114	LR: 0.045699
Training Epoch: 1 [22272/47500]	Loss: 1.5329	LR: 0.046237
Training Epoch: 1 [22528/47500]	Loss: 1.6018	LR: 0.046774
Training Epoch: 1 [22784/47500]	Loss: 1.6841	LR: 0.047312
Training Epoch: 1 [23040/47500]	Loss: 1.7584	LR: 0.047849
Training Epoch: 1 [23296/47500]	Loss: 1.6637	LR: 0.048387
Training Epoch: 1 [23552/47500]	Loss: 1.6940	LR: 0.048925
Training Epoch: 1 [23808/47500]	Loss: 1.6370	LR: 0.049462
Training Epoch: 1 [24064/47500]	Loss: 1.7118	LR: 0.050000
Training Epoch: 1 [24320/47500]	Loss: 1.7620	LR: 0.050538
Training Epoch: 1 [24576/47500]	Loss: 1.5912	LR: 0.051075
Training Epoch: 1 [24832/47500]	Loss: 1.6265	LR: 0.051613
Training Epoch: 1 [25088/47500]	Loss: 1.9549	LR: 0.052151
Training Epoch: 1 [25344/47500]	Loss: 1.7788	LR: 0.052688
Training Epoch: 1 [25600/47500]	Loss: 1.6976	LR: 0.053226
Training Epoch: 1 [25856/47500]	Loss: 1.7499	LR: 0.053763
Training Epoch: 1 [26112/47500]	Loss: 1.7324	LR: 0.054301
Training Epoch: 1 [26368/47500]	Loss: 1.6920	LR: 0.054839
Training Epoch: 1 [26624/47500]	Loss: 1.6476	LR: 0.055376
Training Epoch: 1 [26880/47500]	Loss: 1.8392	LR: 0.055914
Training Epoch: 1 [27136/47500]	Loss: 1.6801	LR: 0.056452
Training Epoch: 1 [27392/47500]	Loss: 1.7221	LR: 0.056989
Training Epoch: 1 [27648/47500]	Loss: 1.7439	LR: 0.057527
Training Epoch: 1 [27904/47500]	Loss: 1.6596	LR: 0.058065
Training Epoch: 1 [28160/47500]	Loss: 1.5931	LR: 0.058602
Training Epoch: 1 [28416/47500]	Loss: 1.7611	LR: 0.059140
Training Epoch: 1 [28672/47500]	Loss: 1.6313	LR: 0.059677
Training Epoch: 1 [28928/47500]	Loss: 1.6358	LR: 0.060215
Training Epoch: 1 [29184/47500]	Loss: 1.6431	LR: 0.060753
Training Epoch: 1 [29440/47500]	Loss: 1.8026	LR: 0.061290
Training Epoch: 1 [29696/47500]	Loss: 1.6082	LR: 0.061828
Training Epoch: 1 [29952/47500]	Loss: 1.6130	LR: 0.062366
Training Epoch: 1 [30208/47500]	Loss: 1.6325	LR: 0.062903
Training Epoch: 1 [30464/47500]	Loss: 1.6029	LR: 0.063441
Training Epoch: 1 [30720/47500]	Loss: 1.5886	LR: 0.063978
Training Epoch: 1 [30976/47500]	Loss: 1.6136	LR: 0.064516
Training Epoch: 1 [31232/47500]	Loss: 1.4751	LR: 0.065054
Training Epoch: 1 [31488/47500]	Loss: 1.5248	LR: 0.065591
Training Epoch: 1 [31744/47500]	Loss: 1.5504	LR: 0.066129
Training Epoch: 1 [32000/47500]	Loss: 1.5717	LR: 0.066667
Training Epoch: 1 [32256/47500]	Loss: 1.5289	LR: 0.067204
Training Epoch: 1 [32512/47500]	Loss: 1.5377	LR: 0.067742
Training Epoch: 1 [32768/47500]	Loss: 1.4376	LR: 0.068280
Training Epoch: 1 [33024/47500]	Loss: 1.4641	LR: 0.068817
Training Epoch: 1 [33280/47500]	Loss: 1.5691	LR: 0.069355
Training Epoch: 1 [33536/47500]	Loss: 1.5192	LR: 0.069892
Training Epoch: 1 [33792/47500]	Loss: 1.5125	LR: 0.070430
Training Epoch: 1 [34048/47500]	Loss: 1.6047	LR: 0.070968
Training Epoch: 1 [34304/47500]	Loss: 1.5416	LR: 0.071505
Training Epoch: 1 [34560/47500]	Loss: 1.5963	LR: 0.072043
Training Epoch: 1 [34816/47500]	Loss: 1.4772	LR: 0.072581
Training Epoch: 1 [35072/47500]	Loss: 1.5920	LR: 0.073118
Training Epoch: 1 [35328/47500]	Loss: 1.5335	LR: 0.073656
Training Epoch: 1 [35584/47500]	Loss: 1.4360	LR: 0.074194
Training Epoch: 1 [35840/47500]	Loss: 1.3499	LR: 0.074731
Training Epoch: 1 [36096/47500]	Loss: 1.6685	LR: 0.075269
Training Epoch: 1 [36352/47500]	Loss: 1.5546	LR: 0.075806
Training Epoch: 1 [36608/47500]	Loss: 1.4578	LR: 0.076344
Training Epoch: 1 [36864/47500]	Loss: 1.5895	LR: 0.076882
Training Epoch: 1 [37120/47500]	Loss: 1.4794	LR: 0.077419
Training Epoch: 1 [37376/47500]	Loss: 1.5131	LR: 0.077957
Training Epoch: 1 [37632/47500]	Loss: 1.5813	LR: 0.078495
Training Epoch: 1 [37888/47500]	Loss: 1.5733	LR: 0.079032
Training Epoch: 1 [38144/47500]	Loss: 1.4011	LR: 0.079570
Training Epoch: 1 [38400/47500]	Loss: 1.5476	LR: 0.080108
Training Epoch: 1 [38656/47500]	Loss: 1.5781	LR: 0.080645
Training Epoch: 1 [38912/47500]	Loss: 1.5302	LR: 0.081183
Training Epoch: 1 [39168/47500]	Loss: 1.4167	LR: 0.081720
Training Epoch: 1 [39424/47500]	Loss: 1.6181	LR: 0.082258
Training Epoch: 1 [39680/47500]	Loss: 1.6207	LR: 0.082796
Training Epoch: 1 [39936/47500]	Loss: 1.5071	LR: 0.083333
Training Epoch: 1 [40192/47500]	Loss: 1.5641	LR: 0.083871
Training Epoch: 1 [40448/47500]	Loss: 1.5163	LR: 0.084409
Training Epoch: 1 [40704/47500]	Loss: 1.6311	LR: 0.084946
Training Epoch: 1 [40960/47500]	Loss: 1.4659	LR: 0.085484
Training Epoch: 1 [41216/47500]	Loss: 1.6170	LR: 0.086022
Training Epoch: 1 [41472/47500]	Loss: 1.5937	LR: 0.086559
Training Epoch: 1 [41728/47500]	Loss: 1.4693	LR: 0.087097
Training Epoch: 1 [41984/47500]	Loss: 1.5884	LR: 0.087634
Training Epoch: 1 [42240/47500]	Loss: 1.4903	LR: 0.088172
Training Epoch: 1 [42496/47500]	Loss: 1.3517	LR: 0.088710
Training Epoch: 1 [42752/47500]	Loss: 1.4699	LR: 0.089247
Training Epoch: 1 [43008/47500]	Loss: 1.4630	LR: 0.089785
Training Epoch: 1 [43264/47500]	Loss: 1.4267	LR: 0.090323
Training Epoch: 1 [43520/47500]	Loss: 1.7081	LR: 0.090860
Training Epoch: 1 [43776/47500]	Loss: 1.5899	LR: 0.091398
Training Epoch: 1 [44032/47500]	Loss: 1.4119	LR: 0.091935
Training Epoch: 1 [44288/47500]	Loss: 1.6017	LR: 0.092473
Training Epoch: 1 [44544/47500]	Loss: 1.3847	LR: 0.093011
Training Epoch: 1 [44800/47500]	Loss: 1.4776	LR: 0.093548
Training Epoch: 1 [45056/47500]	Loss: 1.4286	LR: 0.094086
Training Epoch: 1 [45312/47500]	Loss: 1.7246	LR: 0.094624
Training Epoch: 1 [45568/47500]	Loss: 1.4107	LR: 0.095161
Training Epoch: 1 [45824/47500]	Loss: 1.4137	LR: 0.095699
Training Epoch: 1 [46080/47500]	Loss: 1.6011	LR: 0.096237
Training Epoch: 1 [46336/47500]	Loss: 1.3546	LR: 0.096774
Training Epoch: 1 [46592/47500]	Loss: 1.4844	LR: 0.097312
Training Epoch: 1 [46848/47500]	Loss: 1.4290	LR: 0.097849
Training Epoch: 1 [47104/47500]	Loss: 1.3363	LR: 0.098387
Training Epoch: 1 [47360/47500]	Loss: 1.3763	LR: 0.098925
Training Epoch: 1 [47500/47500]	Loss: 1.1682	LR: 0.099462
Epoch 1 - Average Train Loss: 1.7091, Train Accuracy: 0.3767
Epoch 1 training time consumed: 29.50s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0062, Accuracy: 0.4793, Time consumed:1.06s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_13h_04m_21s/ResNet18-Cifar10-seed4-ret50-1-best.pth
Training Epoch: 2 [256/47500]	Loss: 1.4422	LR: 0.100000
Training Epoch: 2 [512/47500]	Loss: 1.3747	LR: 0.100000
Training Epoch: 2 [768/47500]	Loss: 1.4224	LR: 0.100000
Training Epoch: 2 [1024/47500]	Loss: 1.3199	LR: 0.100000
Training Epoch: 2 [1280/47500]	Loss: 1.4189	LR: 0.100000
Training Epoch: 2 [1536/47500]	Loss: 1.3520	LR: 0.100000
Training Epoch: 2 [1792/47500]	Loss: 1.4354	LR: 0.100000
Training Epoch: 2 [2048/47500]	Loss: 1.3397	LR: 0.100000
Training Epoch: 2 [2304/47500]	Loss: 1.3924	LR: 0.100000
Training Epoch: 2 [2560/47500]	Loss: 1.5287	LR: 0.100000
Training Epoch: 2 [2816/47500]	Loss: 1.6308	LR: 0.100000
Training Epoch: 2 [3072/47500]	Loss: 1.3331	LR: 0.100000
Training Epoch: 2 [3328/47500]	Loss: 1.2637	LR: 0.100000
Training Epoch: 2 [3584/47500]	Loss: 1.4549	LR: 0.100000
Training Epoch: 2 [3840/47500]	Loss: 1.3839	LR: 0.100000
Training Epoch: 2 [4096/47500]	Loss: 1.3620	LR: 0.100000
Training Epoch: 2 [4352/47500]	Loss: 1.4432	LR: 0.100000
Training Epoch: 2 [4608/47500]	Loss: 1.2983	LR: 0.100000
Training Epoch: 2 [4864/47500]	Loss: 1.4213	LR: 0.100000
Training Epoch: 2 [5120/47500]	Loss: 1.4198	LR: 0.100000
Training Epoch: 2 [5376/47500]	Loss: 1.2998	LR: 0.100000
Training Epoch: 2 [5632/47500]	Loss: 1.4192	LR: 0.100000
Training Epoch: 2 [5888/47500]	Loss: 1.4420	LR: 0.100000
Training Epoch: 2 [6144/47500]	Loss: 1.2795	LR: 0.100000
Training Epoch: 2 [6400/47500]	Loss: 1.2882	LR: 0.100000
Training Epoch: 2 [6656/47500]	Loss: 1.3242	LR: 0.100000
Training Epoch: 2 [6912/47500]	Loss: 1.3734	LR: 0.100000
Training Epoch: 2 [7168/47500]	Loss: 1.3114	LR: 0.100000
Training Epoch: 2 [7424/47500]	Loss: 1.3944	LR: 0.100000
Training Epoch: 2 [7680/47500]	Loss: 1.4565	LR: 0.100000
Training Epoch: 2 [7936/47500]	Loss: 1.2649	LR: 0.100000
Training Epoch: 2 [8192/47500]	Loss: 1.4271	LR: 0.100000
Training Epoch: 2 [8448/47500]	Loss: 1.2989	LR: 0.100000
Training Epoch: 2 [8704/47500]	Loss: 1.2863	LR: 0.100000
Training Epoch: 2 [8960/47500]	Loss: 1.2326	LR: 0.100000
Training Epoch: 2 [9216/47500]	Loss: 1.2495	LR: 0.100000
Training Epoch: 2 [9472/47500]	Loss: 1.2957	LR: 0.100000
Training Epoch: 2 [9728/47500]	Loss: 1.2986	LR: 0.100000
Training Epoch: 2 [9984/47500]	Loss: 1.5049	LR: 0.100000
Training Epoch: 2 [10240/47500]	Loss: 1.1890	LR: 0.100000
Training Epoch: 2 [10496/47500]	Loss: 1.3492	LR: 0.100000
Training Epoch: 2 [10752/47500]	Loss: 1.4422	LR: 0.100000
Training Epoch: 2 [11008/47500]	Loss: 1.2872	LR: 0.100000
Training Epoch: 2 [11264/47500]	Loss: 1.2697	LR: 0.100000
Training Epoch: 2 [11520/47500]	Loss: 1.1875	LR: 0.100000
Training Epoch: 2 [11776/47500]	Loss: 1.2802	LR: 0.100000
Training Epoch: 2 [12032/47500]	Loss: 1.4030	LR: 0.100000
Training Epoch: 2 [12288/47500]	Loss: 1.3217	LR: 0.100000
Training Epoch: 2 [12544/47500]	Loss: 1.1479	LR: 0.100000
Training Epoch: 2 [12800/47500]	Loss: 1.1907	LR: 0.100000
Training Epoch: 2 [13056/47500]	Loss: 1.2282	LR: 0.100000
Training Epoch: 2 [13312/47500]	Loss: 1.1832	LR: 0.100000
Training Epoch: 2 [13568/47500]	Loss: 1.2115	LR: 0.100000
Training Epoch: 2 [13824/47500]	Loss: 1.2880	LR: 0.100000
Training Epoch: 2 [14080/47500]	Loss: 1.1891	LR: 0.100000
Training Epoch: 2 [14336/47500]	Loss: 1.2648	LR: 0.100000
Training Epoch: 2 [14592/47500]	Loss: 1.2350	LR: 0.100000
Training Epoch: 2 [14848/47500]	Loss: 1.3506	LR: 0.100000
Training Epoch: 2 [15104/47500]	Loss: 1.1671	LR: 0.100000
Training Epoch: 2 [15360/47500]	Loss: 1.3297	LR: 0.100000
Training Epoch: 2 [15616/47500]	Loss: 1.2092	LR: 0.100000
Training Epoch: 2 [15872/47500]	Loss: 1.2226	LR: 0.100000
Training Epoch: 2 [16128/47500]	Loss: 1.1942	LR: 0.100000
Training Epoch: 2 [16384/47500]	Loss: 1.2423	LR: 0.100000
Training Epoch: 2 [16640/47500]	Loss: 1.2968	LR: 0.100000
Training Epoch: 2 [16896/47500]	Loss: 1.1677	LR: 0.100000
Training Epoch: 2 [17152/47500]	Loss: 1.2356	LR: 0.100000
Training Epoch: 2 [17408/47500]	Loss: 1.1034	LR: 0.100000
Training Epoch: 2 [17664/47500]	Loss: 1.0670	LR: 0.100000
Training Epoch: 2 [17920/47500]	Loss: 1.1672	LR: 0.100000
Training Epoch: 2 [18176/47500]	Loss: 1.1573	LR: 0.100000
Training Epoch: 2 [18432/47500]	Loss: 1.3722	LR: 0.100000
Training Epoch: 2 [18688/47500]	Loss: 1.2445	LR: 0.100000
Training Epoch: 2 [18944/47500]	Loss: 1.2438	LR: 0.100000
Training Epoch: 2 [19200/47500]	Loss: 1.2215	LR: 0.100000
Training Epoch: 2 [19456/47500]	Loss: 1.2677	LR: 0.100000
Training Epoch: 2 [19712/47500]	Loss: 1.2083	LR: 0.100000
Training Epoch: 2 [19968/47500]	Loss: 1.4524	LR: 0.100000
Training Epoch: 2 [20224/47500]	Loss: 1.2396	LR: 0.100000
Training Epoch: 2 [20480/47500]	Loss: 1.2213	LR: 0.100000
Training Epoch: 2 [20736/47500]	Loss: 1.3558	LR: 0.100000
Training Epoch: 2 [20992/47500]	Loss: 1.3575	LR: 0.100000
Training Epoch: 2 [21248/47500]	Loss: 1.1893	LR: 0.100000
Training Epoch: 2 [21504/47500]	Loss: 1.1603	LR: 0.100000
Training Epoch: 2 [21760/47500]	Loss: 1.2542	LR: 0.100000
Training Epoch: 2 [22016/47500]	Loss: 1.0948	LR: 0.100000
Training Epoch: 2 [22272/47500]	Loss: 1.2248	LR: 0.100000
Training Epoch: 2 [22528/47500]	Loss: 1.2750	LR: 0.100000
Training Epoch: 2 [22784/47500]	Loss: 1.3164	LR: 0.100000
Training Epoch: 2 [23040/47500]	Loss: 1.2668	LR: 0.100000
Training Epoch: 2 [23296/47500]	Loss: 1.1621	LR: 0.100000
Training Epoch: 2 [23552/47500]	Loss: 1.2304	LR: 0.100000
Training Epoch: 2 [23808/47500]	Loss: 1.0699	LR: 0.100000
Training Epoch: 2 [24064/47500]	Loss: 1.1741	LR: 0.100000
Training Epoch: 2 [24320/47500]	Loss: 1.2414	LR: 0.100000
Training Epoch: 2 [24576/47500]	Loss: 1.2141	LR: 0.100000
Training Epoch: 2 [24832/47500]	Loss: 1.2465	LR: 0.100000
Training Epoch: 2 [25088/47500]	Loss: 1.3362	LR: 0.100000
Training Epoch: 2 [25344/47500]	Loss: 1.2076	LR: 0.100000
Training Epoch: 2 [25600/47500]	Loss: 1.2028	LR: 0.100000
Training Epoch: 2 [25856/47500]	Loss: 1.0605	LR: 0.100000
Training Epoch: 2 [26112/47500]	Loss: 1.2300	LR: 0.100000
Training Epoch: 2 [26368/47500]	Loss: 1.0843	LR: 0.100000
Training Epoch: 2 [26624/47500]	Loss: 1.1236	LR: 0.100000
Training Epoch: 2 [26880/47500]	Loss: 1.1434	LR: 0.100000
Training Epoch: 2 [27136/47500]	Loss: 1.1417	LR: 0.100000
Training Epoch: 2 [27392/47500]	Loss: 1.1508	LR: 0.100000
Training Epoch: 2 [27648/47500]	Loss: 1.1663	LR: 0.100000
Training Epoch: 2 [27904/47500]	Loss: 1.0246	LR: 0.100000
Training Epoch: 2 [28160/47500]	Loss: 1.0861	LR: 0.100000
Training Epoch: 2 [28416/47500]	Loss: 1.0838	LR: 0.100000
Training Epoch: 2 [28672/47500]	Loss: 1.1489	LR: 0.100000
Training Epoch: 2 [28928/47500]	Loss: 1.0411	LR: 0.100000
Training Epoch: 2 [29184/47500]	Loss: 1.0523	LR: 0.100000
Training Epoch: 2 [29440/47500]	Loss: 1.0875	LR: 0.100000
Training Epoch: 2 [29696/47500]	Loss: 1.0852	LR: 0.100000
Training Epoch: 2 [29952/47500]	Loss: 1.1216	LR: 0.100000
Training Epoch: 2 [30208/47500]	Loss: 1.0632	LR: 0.100000
Training Epoch: 2 [30464/47500]	Loss: 1.1279	LR: 0.100000
Training Epoch: 2 [30720/47500]	Loss: 1.0744	LR: 0.100000
Training Epoch: 2 [30976/47500]	Loss: 1.1040	LR: 0.100000
Training Epoch: 2 [31232/47500]	Loss: 1.2503	LR: 0.100000
Training Epoch: 2 [31488/47500]	Loss: 1.1519	LR: 0.100000
Training Epoch: 2 [31744/47500]	Loss: 0.9991	LR: 0.100000
Training Epoch: 2 [32000/47500]	Loss: 1.1368	LR: 0.100000
Training Epoch: 2 [32256/47500]	Loss: 1.1496	LR: 0.100000
Training Epoch: 2 [32512/47500]	Loss: 1.0891	LR: 0.100000
Training Epoch: 2 [32768/47500]	Loss: 1.1432	LR: 0.100000
Training Epoch: 2 [33024/47500]	Loss: 1.1048	LR: 0.100000
Training Epoch: 2 [33280/47500]	Loss: 1.1096	LR: 0.100000
Training Epoch: 2 [33536/47500]	Loss: 1.1908	LR: 0.100000
Training Epoch: 2 [33792/47500]	Loss: 1.0696	LR: 0.100000
Training Epoch: 2 [34048/47500]	Loss: 1.1867	LR: 0.100000
Training Epoch: 2 [34304/47500]	Loss: 1.0403	LR: 0.100000
Training Epoch: 2 [34560/47500]	Loss: 1.1016	LR: 0.100000
Training Epoch: 2 [34816/47500]	Loss: 1.1401	LR: 0.100000
Training Epoch: 2 [35072/47500]	Loss: 1.0244	LR: 0.100000
Training Epoch: 2 [35328/47500]	Loss: 1.0287	LR: 0.100000
Training Epoch: 2 [35584/47500]	Loss: 1.1122	LR: 0.100000
Training Epoch: 2 [35840/47500]	Loss: 1.1187	LR: 0.100000
Training Epoch: 2 [36096/47500]	Loss: 1.1197	LR: 0.100000
Training Epoch: 2 [36352/47500]	Loss: 1.1404	LR: 0.100000
Training Epoch: 2 [36608/47500]	Loss: 1.1372	LR: 0.100000
Training Epoch: 2 [36864/47500]	Loss: 1.0104	LR: 0.100000
Training Epoch: 2 [37120/47500]	Loss: 1.1196	LR: 0.100000
Training Epoch: 2 [37376/47500]	Loss: 1.0361	LR: 0.100000
Training Epoch: 2 [37632/47500]	Loss: 1.0370	LR: 0.100000
Training Epoch: 2 [37888/47500]	Loss: 1.0547	LR: 0.100000
Training Epoch: 2 [38144/47500]	Loss: 1.0533	LR: 0.100000
Training Epoch: 2 [38400/47500]	Loss: 1.1752	LR: 0.100000
Training Epoch: 2 [38656/47500]	Loss: 1.0617	LR: 0.100000
Training Epoch: 2 [38912/47500]	Loss: 1.0330	LR: 0.100000
Training Epoch: 2 [39168/47500]	Loss: 1.1559	LR: 0.100000
Training Epoch: 2 [39424/47500]	Loss: 1.1377	LR: 0.100000
Training Epoch: 2 [39680/47500]	Loss: 1.1112	LR: 0.100000
Training Epoch: 2 [39936/47500]	Loss: 1.1103	LR: 0.100000
Training Epoch: 2 [40192/47500]	Loss: 1.0803	LR: 0.100000
Training Epoch: 2 [40448/47500]	Loss: 0.9932	LR: 0.100000
Training Epoch: 2 [40704/47500]	Loss: 1.0463	LR: 0.100000
Training Epoch: 2 [40960/47500]	Loss: 1.1216	LR: 0.100000
Training Epoch: 2 [41216/47500]	Loss: 1.0523	LR: 0.100000
Training Epoch: 2 [41472/47500]	Loss: 1.0785	LR: 0.100000
Training Epoch: 2 [41728/47500]	Loss: 1.0975	LR: 0.100000
Training Epoch: 2 [41984/47500]	Loss: 1.1164	LR: 0.100000
Training Epoch: 2 [42240/47500]	Loss: 0.9751	LR: 0.100000
Training Epoch: 2 [42496/47500]	Loss: 1.0293	LR: 0.100000
Training Epoch: 2 [42752/47500]	Loss: 1.2285	LR: 0.100000
Training Epoch: 2 [43008/47500]	Loss: 0.9494	LR: 0.100000
Training Epoch: 2 [43264/47500]	Loss: 1.1886	LR: 0.100000
Training Epoch: 2 [43520/47500]	Loss: 0.9964	LR: 0.100000
Training Epoch: 2 [43776/47500]	Loss: 1.0468	LR: 0.100000
Training Epoch: 2 [44032/47500]	Loss: 0.9405	LR: 0.100000
Training Epoch: 2 [44288/47500]	Loss: 1.1745	LR: 0.100000
Training Epoch: 2 [44544/47500]	Loss: 1.0115	LR: 0.100000
Training Epoch: 2 [44800/47500]	Loss: 0.9627	LR: 0.100000
Training Epoch: 2 [45056/47500]	Loss: 0.9619	LR: 0.100000
Training Epoch: 2 [45312/47500]	Loss: 1.0923	LR: 0.100000
Training Epoch: 2 [45568/47500]	Loss: 1.1070	LR: 0.100000
Training Epoch: 2 [45824/47500]	Loss: 1.0761	LR: 0.100000
Training Epoch: 2 [46080/47500]	Loss: 1.2215	LR: 0.100000
Training Epoch: 2 [46336/47500]	Loss: 1.0567	LR: 0.100000
Training Epoch: 2 [46592/47500]	Loss: 0.9923	LR: 0.100000
Training Epoch: 2 [46848/47500]	Loss: 1.0128	LR: 0.100000
Training Epoch: 2 [47104/47500]	Loss: 1.0126	LR: 0.100000
Training Epoch: 2 [47360/47500]	Loss: 1.0824	LR: 0.100000
Training Epoch: 2 [47500/47500]	Loss: 0.9690	LR: 0.100000
Epoch 2 - Average Train Loss: 1.1975, Train Accuracy: 0.5703
Epoch 2 training time consumed: 29.11s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0042, Accuracy: 0.6349, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_13h_04m_21s/ResNet18-Cifar10-seed4-ret50-2-best.pth
Training Epoch: 3 [256/47500]	Loss: 1.0259	LR: 0.100000
Training Epoch: 3 [512/47500]	Loss: 1.0764	LR: 0.100000
Training Epoch: 3 [768/47500]	Loss: 0.9504	LR: 0.100000
Training Epoch: 3 [1024/47500]	Loss: 0.9690	LR: 0.100000
Training Epoch: 3 [1280/47500]	Loss: 1.0879	LR: 0.100000
Training Epoch: 3 [1536/47500]	Loss: 1.0722	LR: 0.100000
Training Epoch: 3 [1792/47500]	Loss: 0.9995	LR: 0.100000
Training Epoch: 3 [2048/47500]	Loss: 1.2037	LR: 0.100000
Training Epoch: 3 [2304/47500]	Loss: 1.0340	LR: 0.100000
Training Epoch: 3 [2560/47500]	Loss: 1.0101	LR: 0.100000
Training Epoch: 3 [2816/47500]	Loss: 0.9123	LR: 0.100000
Training Epoch: 3 [3072/47500]	Loss: 1.1178	LR: 0.100000
Training Epoch: 3 [3328/47500]	Loss: 0.9825	LR: 0.100000
Training Epoch: 3 [3584/47500]	Loss: 1.0138	LR: 0.100000
Training Epoch: 3 [3840/47500]	Loss: 1.0918	LR: 0.100000
Training Epoch: 3 [4096/47500]	Loss: 1.0189	LR: 0.100000
Training Epoch: 3 [4352/47500]	Loss: 1.0819	LR: 0.100000
Training Epoch: 3 [4608/47500]	Loss: 1.1092	LR: 0.100000
Training Epoch: 3 [4864/47500]	Loss: 1.1924	LR: 0.100000
Training Epoch: 3 [5120/47500]	Loss: 0.9211	LR: 0.100000
Training Epoch: 3 [5376/47500]	Loss: 0.9512	LR: 0.100000
Training Epoch: 3 [5632/47500]	Loss: 1.0333	LR: 0.100000
Training Epoch: 3 [5888/47500]	Loss: 0.9810	LR: 0.100000
Training Epoch: 3 [6144/47500]	Loss: 0.9453	LR: 0.100000
Training Epoch: 3 [6400/47500]	Loss: 1.0099	LR: 0.100000
Training Epoch: 3 [6656/47500]	Loss: 0.9448	LR: 0.100000
Training Epoch: 3 [6912/47500]	Loss: 1.0586	LR: 0.100000
Training Epoch: 3 [7168/47500]	Loss: 1.0757	LR: 0.100000
Training Epoch: 3 [7424/47500]	Loss: 0.9112	LR: 0.100000
Training Epoch: 3 [7680/47500]	Loss: 1.0047	LR: 0.100000
Training Epoch: 3 [7936/47500]	Loss: 1.0394	LR: 0.100000
Training Epoch: 3 [8192/47500]	Loss: 1.0050	LR: 0.100000
Training Epoch: 3 [8448/47500]	Loss: 1.0689	LR: 0.100000
Training Epoch: 3 [8704/47500]	Loss: 0.9882	LR: 0.100000
Training Epoch: 3 [8960/47500]	Loss: 1.0341	LR: 0.100000
Training Epoch: 3 [9216/47500]	Loss: 1.0346	LR: 0.100000
Training Epoch: 3 [9472/47500]	Loss: 1.0277	LR: 0.100000
Training Epoch: 3 [9728/47500]	Loss: 1.0561	LR: 0.100000
Training Epoch: 3 [9984/47500]	Loss: 1.0169	LR: 0.100000
Training Epoch: 3 [10240/47500]	Loss: 0.9275	LR: 0.100000
Training Epoch: 3 [10496/47500]	Loss: 1.0099	LR: 0.100000
Training Epoch: 3 [10752/47500]	Loss: 1.0301	LR: 0.100000
Training Epoch: 3 [11008/47500]	Loss: 0.9931	LR: 0.100000
Training Epoch: 3 [11264/47500]	Loss: 0.8981	LR: 0.100000
Training Epoch: 3 [11520/47500]	Loss: 1.1428	LR: 0.100000
Training Epoch: 3 [11776/47500]	Loss: 0.9005	LR: 0.100000
Training Epoch: 3 [12032/47500]	Loss: 0.9192	LR: 0.100000
Training Epoch: 3 [12288/47500]	Loss: 0.9526	LR: 0.100000
Training Epoch: 3 [12544/47500]	Loss: 0.9661	LR: 0.100000
Training Epoch: 3 [12800/47500]	Loss: 1.1083	LR: 0.100000
Training Epoch: 3 [13056/47500]	Loss: 1.0649	LR: 0.100000
Training Epoch: 3 [13312/47500]	Loss: 0.9468	LR: 0.100000
Training Epoch: 3 [13568/47500]	Loss: 0.9945	LR: 0.100000
Training Epoch: 3 [13824/47500]	Loss: 0.9175	LR: 0.100000
Training Epoch: 3 [14080/47500]	Loss: 1.1671	LR: 0.100000
Training Epoch: 3 [14336/47500]	Loss: 1.0261	LR: 0.100000
Training Epoch: 3 [14592/47500]	Loss: 0.9761	LR: 0.100000
Training Epoch: 3 [14848/47500]	Loss: 1.0236	LR: 0.100000
Training Epoch: 3 [15104/47500]	Loss: 1.0112	LR: 0.100000
Training Epoch: 3 [15360/47500]	Loss: 1.0789	LR: 0.100000
Training Epoch: 3 [15616/47500]	Loss: 1.0972	LR: 0.100000
Training Epoch: 3 [15872/47500]	Loss: 0.9539	LR: 0.100000
Training Epoch: 3 [16128/47500]	Loss: 0.8993	LR: 0.100000
Training Epoch: 3 [16384/47500]	Loss: 0.9481	LR: 0.100000
Training Epoch: 3 [16640/47500]	Loss: 0.8985	LR: 0.100000
Training Epoch: 3 [16896/47500]	Loss: 1.0275	LR: 0.100000
Training Epoch: 3 [17152/47500]	Loss: 1.0299	LR: 0.100000
Training Epoch: 3 [17408/47500]	Loss: 0.8942	LR: 0.100000
Training Epoch: 3 [17664/47500]	Loss: 0.9281	LR: 0.100000
Training Epoch: 3 [17920/47500]	Loss: 0.9157	LR: 0.100000
Training Epoch: 3 [18176/47500]	Loss: 0.9153	LR: 0.100000
Training Epoch: 3 [18432/47500]	Loss: 0.9503	LR: 0.100000
Training Epoch: 3 [18688/47500]	Loss: 1.0007	LR: 0.100000
Training Epoch: 3 [18944/47500]	Loss: 0.9979	LR: 0.100000
Training Epoch: 3 [19200/47500]	Loss: 0.9416	LR: 0.100000
Training Epoch: 3 [19456/47500]	Loss: 1.0805	LR: 0.100000
Training Epoch: 3 [19712/47500]	Loss: 1.0109	LR: 0.100000
Training Epoch: 3 [19968/47500]	Loss: 0.8793	LR: 0.100000
Training Epoch: 3 [20224/47500]	Loss: 0.8405	LR: 0.100000
Training Epoch: 3 [20480/47500]	Loss: 0.9670	LR: 0.100000
Training Epoch: 3 [20736/47500]	Loss: 1.0371	LR: 0.100000
Training Epoch: 3 [20992/47500]	Loss: 0.8942	LR: 0.100000
Training Epoch: 3 [21248/47500]	Loss: 0.9858	LR: 0.100000
Training Epoch: 3 [21504/47500]	Loss: 0.9478	LR: 0.100000
Training Epoch: 3 [21760/47500]	Loss: 0.8215	LR: 0.100000
Training Epoch: 3 [22016/47500]	Loss: 0.9766	LR: 0.100000
Training Epoch: 3 [22272/47500]	Loss: 0.9738	LR: 0.100000
Training Epoch: 3 [22528/47500]	Loss: 0.9966	LR: 0.100000
Training Epoch: 3 [22784/47500]	Loss: 0.9776	LR: 0.100000
Training Epoch: 3 [23040/47500]	Loss: 1.0225	LR: 0.100000
Training Epoch: 3 [23296/47500]	Loss: 0.9298	LR: 0.100000
Training Epoch: 3 [23552/47500]	Loss: 1.0186	LR: 0.100000
Training Epoch: 3 [23808/47500]	Loss: 0.9767	LR: 0.100000
Training Epoch: 3 [24064/47500]	Loss: 0.9671	LR: 0.100000
Training Epoch: 3 [24320/47500]	Loss: 1.0328	LR: 0.100000
Training Epoch: 3 [24576/47500]	Loss: 1.0436	LR: 0.100000
Training Epoch: 3 [24832/47500]	Loss: 0.9365	LR: 0.100000
Training Epoch: 3 [25088/47500]	Loss: 0.9301	LR: 0.100000
Training Epoch: 3 [25344/47500]	Loss: 0.9309	LR: 0.100000
Training Epoch: 3 [25600/47500]	Loss: 1.0299	LR: 0.100000
Training Epoch: 3 [25856/47500]	Loss: 0.9600	LR: 0.100000
Training Epoch: 3 [26112/47500]	Loss: 0.9349	LR: 0.100000
Training Epoch: 3 [26368/47500]	Loss: 0.9359	LR: 0.100000
Training Epoch: 3 [26624/47500]	Loss: 0.9298	LR: 0.100000
Training Epoch: 3 [26880/47500]	Loss: 0.9615	LR: 0.100000
Training Epoch: 3 [27136/47500]	Loss: 0.8849	LR: 0.100000
Training Epoch: 3 [27392/47500]	Loss: 1.1059	LR: 0.100000
Training Epoch: 3 [27648/47500]	Loss: 0.8776	LR: 0.100000
Training Epoch: 3 [27904/47500]	Loss: 0.8870	LR: 0.100000
Training Epoch: 3 [28160/47500]	Loss: 0.8692	LR: 0.100000
Training Epoch: 3 [28416/47500]	Loss: 0.8663	LR: 0.100000
Training Epoch: 3 [28672/47500]	Loss: 0.9479	LR: 0.100000
Training Epoch: 3 [28928/47500]	Loss: 0.9673	LR: 0.100000
Training Epoch: 3 [29184/47500]	Loss: 1.0071	LR: 0.100000
Training Epoch: 3 [29440/47500]	Loss: 0.7762	LR: 0.100000
Training Epoch: 3 [29696/47500]	Loss: 0.7049	LR: 0.100000
Training Epoch: 3 [29952/47500]	Loss: 1.0188	LR: 0.100000
Training Epoch: 3 [30208/47500]	Loss: 0.7924	LR: 0.100000
Training Epoch: 3 [30464/47500]	Loss: 0.8739	LR: 0.100000
Training Epoch: 3 [30720/47500]	Loss: 0.8069	LR: 0.100000
Training Epoch: 3 [30976/47500]	Loss: 0.8800	LR: 0.100000
Training Epoch: 3 [31232/47500]	Loss: 0.9202	LR: 0.100000
Training Epoch: 3 [31488/47500]	Loss: 0.9051	LR: 0.100000
Training Epoch: 3 [31744/47500]	Loss: 0.8452	LR: 0.100000
Training Epoch: 3 [32000/47500]	Loss: 0.8957	LR: 0.100000
Training Epoch: 3 [32256/47500]	Loss: 0.8655	LR: 0.100000
Training Epoch: 3 [32512/47500]	Loss: 0.9357	LR: 0.100000
Training Epoch: 3 [32768/47500]	Loss: 0.8876	LR: 0.100000
Training Epoch: 3 [33024/47500]	Loss: 0.9587	LR: 0.100000
Training Epoch: 3 [33280/47500]	Loss: 0.8315	LR: 0.100000
Training Epoch: 3 [33536/47500]	Loss: 1.0709	LR: 0.100000
Training Epoch: 3 [33792/47500]	Loss: 0.8822	LR: 0.100000
Training Epoch: 3 [34048/47500]	Loss: 0.7989	LR: 0.100000
Training Epoch: 3 [34304/47500]	Loss: 0.8396	LR: 0.100000
Training Epoch: 3 [34560/47500]	Loss: 0.7819	LR: 0.100000
Training Epoch: 3 [34816/47500]	Loss: 0.8969	LR: 0.100000
Training Epoch: 3 [35072/47500]	Loss: 0.9671	LR: 0.100000
Training Epoch: 3 [35328/47500]	Loss: 0.9646	LR: 0.100000
Training Epoch: 3 [35584/47500]	Loss: 0.8537	LR: 0.100000
Training Epoch: 3 [35840/47500]	Loss: 1.0508	LR: 0.100000
Training Epoch: 3 [36096/47500]	Loss: 0.9380	LR: 0.100000
Training Epoch: 3 [36352/47500]	Loss: 0.8888	LR: 0.100000
Training Epoch: 3 [36608/47500]	Loss: 0.8365	LR: 0.100000
Training Epoch: 3 [36864/47500]	Loss: 1.0430	LR: 0.100000
Training Epoch: 3 [37120/47500]	Loss: 0.9425	LR: 0.100000
Training Epoch: 3 [37376/47500]	Loss: 0.9798	LR: 0.100000
Training Epoch: 3 [37632/47500]	Loss: 0.7897	LR: 0.100000
Training Epoch: 3 [37888/47500]	Loss: 0.9011	LR: 0.100000
Training Epoch: 3 [38144/47500]	Loss: 0.9386	LR: 0.100000
Training Epoch: 3 [38400/47500]	Loss: 0.8597	LR: 0.100000
Training Epoch: 3 [38656/47500]	Loss: 0.8036	LR: 0.100000
Training Epoch: 3 [38912/47500]	Loss: 0.8803	LR: 0.100000
Training Epoch: 3 [39168/47500]	Loss: 1.0213	LR: 0.100000
Training Epoch: 3 [39424/47500]	Loss: 1.0029	LR: 0.100000
Training Epoch: 3 [39680/47500]	Loss: 0.9832	LR: 0.100000
Training Epoch: 3 [39936/47500]	Loss: 0.8743	LR: 0.100000
Training Epoch: 3 [40192/47500]	Loss: 0.8354	LR: 0.100000
Training Epoch: 3 [40448/47500]	Loss: 0.9684	LR: 0.100000
Training Epoch: 3 [40704/47500]	Loss: 1.0334	LR: 0.100000
Training Epoch: 3 [40960/47500]	Loss: 0.8043	LR: 0.100000
Training Epoch: 3 [41216/47500]	Loss: 0.8145	LR: 0.100000
Training Epoch: 3 [41472/47500]	Loss: 0.9091	LR: 0.100000
Training Epoch: 3 [41728/47500]	Loss: 0.9559	LR: 0.100000
Training Epoch: 3 [41984/47500]	Loss: 0.8381	LR: 0.100000
Training Epoch: 3 [42240/47500]	Loss: 0.9837	LR: 0.100000
Training Epoch: 3 [42496/47500]	Loss: 0.9118	LR: 0.100000
Training Epoch: 3 [42752/47500]	Loss: 0.9595	LR: 0.100000
Training Epoch: 3 [43008/47500]	Loss: 0.9355	LR: 0.100000
Training Epoch: 3 [43264/47500]	Loss: 0.9343	LR: 0.100000
Training Epoch: 3 [43520/47500]	Loss: 0.8468	LR: 0.100000
Training Epoch: 3 [43776/47500]	Loss: 0.8847	LR: 0.100000
Training Epoch: 3 [44032/47500]	Loss: 0.8694	LR: 0.100000
Training Epoch: 3 [44288/47500]	Loss: 0.8158	LR: 0.100000
Training Epoch: 3 [44544/47500]	Loss: 0.7876	LR: 0.100000
Training Epoch: 3 [44800/47500]	Loss: 0.8481	LR: 0.100000
Training Epoch: 3 [45056/47500]	Loss: 0.8923	LR: 0.100000
Training Epoch: 3 [45312/47500]	Loss: 0.9247	LR: 0.100000
Training Epoch: 3 [45568/47500]	Loss: 0.9115	LR: 0.100000
Training Epoch: 3 [45824/47500]	Loss: 0.9112	LR: 0.100000
Training Epoch: 3 [46080/47500]	Loss: 0.8323	LR: 0.100000
Training Epoch: 3 [46336/47500]	Loss: 0.8409	LR: 0.100000
Training Epoch: 3 [46592/47500]	Loss: 0.8603	LR: 0.100000
Training Epoch: 3 [46848/47500]	Loss: 0.8973	LR: 0.100000
Training Epoch: 3 [47104/47500]	Loss: 0.9474	LR: 0.100000
Training Epoch: 3 [47360/47500]	Loss: 0.9220	LR: 0.100000
Training Epoch: 3 [47500/47500]	Loss: 0.8676	LR: 0.100000
Epoch 3 - Average Train Loss: 0.9534, Train Accuracy: 0.6615
Epoch 3 training time consumed: 29.03s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0044, Accuracy: 0.6281, Time consumed:1.09s
Training Epoch: 4 [256/47500]	Loss: 0.8510	LR: 0.100000
Training Epoch: 4 [512/47500]	Loss: 0.7756	LR: 0.100000
Training Epoch: 4 [768/47500]	Loss: 0.8238	LR: 0.100000
Training Epoch: 4 [1024/47500]	Loss: 0.9182	LR: 0.100000
Training Epoch: 4 [1280/47500]	Loss: 0.8896	LR: 0.100000
Training Epoch: 4 [1536/47500]	Loss: 0.9198	LR: 0.100000
Training Epoch: 4 [1792/47500]	Loss: 0.8505	LR: 0.100000
Training Epoch: 4 [2048/47500]	Loss: 0.9126	LR: 0.100000
Training Epoch: 4 [2304/47500]	Loss: 0.9045	LR: 0.100000
Training Epoch: 4 [2560/47500]	Loss: 0.8543	LR: 0.100000
Training Epoch: 4 [2816/47500]	Loss: 0.9887	LR: 0.100000
Training Epoch: 4 [3072/47500]	Loss: 0.8504	LR: 0.100000
Training Epoch: 4 [3328/47500]	Loss: 0.9896	LR: 0.100000
Training Epoch: 4 [3584/47500]	Loss: 0.7545	LR: 0.100000
Training Epoch: 4 [3840/47500]	Loss: 0.9542	LR: 0.100000
Training Epoch: 4 [4096/47500]	Loss: 0.7431	LR: 0.100000
Training Epoch: 4 [4352/47500]	Loss: 0.8016	LR: 0.100000
Training Epoch: 4 [4608/47500]	Loss: 0.9286	LR: 0.100000
Training Epoch: 4 [4864/47500]	Loss: 0.9187	LR: 0.100000
Training Epoch: 4 [5120/47500]	Loss: 0.8396	LR: 0.100000
Training Epoch: 4 [5376/47500]	Loss: 0.7680	LR: 0.100000
Training Epoch: 4 [5632/47500]	Loss: 0.8576	LR: 0.100000
Training Epoch: 4 [5888/47500]	Loss: 0.8452	LR: 0.100000
Training Epoch: 4 [6144/47500]	Loss: 0.8094	LR: 0.100000
Training Epoch: 4 [6400/47500]	Loss: 0.9409	LR: 0.100000
Training Epoch: 4 [6656/47500]	Loss: 0.9598	LR: 0.100000
Training Epoch: 4 [6912/47500]	Loss: 0.8368	LR: 0.100000
Training Epoch: 4 [7168/47500]	Loss: 0.8953	LR: 0.100000
Training Epoch: 4 [7424/47500]	Loss: 0.8014	LR: 0.100000
Training Epoch: 4 [7680/47500]	Loss: 0.7981	LR: 0.100000
Training Epoch: 4 [7936/47500]	Loss: 0.8533	LR: 0.100000
Training Epoch: 4 [8192/47500]	Loss: 0.8437	LR: 0.100000
Training Epoch: 4 [8448/47500]	Loss: 0.8287	LR: 0.100000
Training Epoch: 4 [8704/47500]	Loss: 0.7969	LR: 0.100000
Training Epoch: 4 [8960/47500]	Loss: 0.9089	LR: 0.100000
Training Epoch: 4 [9216/47500]	Loss: 0.7987	LR: 0.100000
Training Epoch: 4 [9472/47500]	Loss: 0.8789	LR: 0.100000
Training Epoch: 4 [9728/47500]	Loss: 0.7065	LR: 0.100000
Training Epoch: 4 [9984/47500]	Loss: 0.9576	LR: 0.100000
Training Epoch: 4 [10240/47500]	Loss: 0.8753	LR: 0.100000
Training Epoch: 4 [10496/47500]	Loss: 0.7232	LR: 0.100000
Training Epoch: 4 [10752/47500]	Loss: 0.9315	LR: 0.100000
Training Epoch: 4 [11008/47500]	Loss: 0.7706	LR: 0.100000
Training Epoch: 4 [11264/47500]	Loss: 0.7384	LR: 0.100000
Training Epoch: 4 [11520/47500]	Loss: 0.8594	LR: 0.100000
Training Epoch: 4 [11776/47500]	Loss: 0.7946	LR: 0.100000
Training Epoch: 4 [12032/47500]	Loss: 0.7942	LR: 0.100000
Training Epoch: 4 [12288/47500]	Loss: 0.8576	LR: 0.100000
Training Epoch: 4 [12544/47500]	Loss: 0.7868	LR: 0.100000
Training Epoch: 4 [12800/47500]	Loss: 0.8287	LR: 0.100000
Training Epoch: 4 [13056/47500]	Loss: 0.8141	LR: 0.100000
Training Epoch: 4 [13312/47500]	Loss: 0.8951	LR: 0.100000
Training Epoch: 4 [13568/47500]	Loss: 0.7913	LR: 0.100000
Training Epoch: 4 [13824/47500]	Loss: 0.8495	LR: 0.100000
Training Epoch: 4 [14080/47500]	Loss: 0.8710	LR: 0.100000
Training Epoch: 4 [14336/47500]	Loss: 0.8411	LR: 0.100000
Training Epoch: 4 [14592/47500]	Loss: 0.7859	LR: 0.100000
Training Epoch: 4 [14848/47500]	Loss: 0.8389	LR: 0.100000
Training Epoch: 4 [15104/47500]	Loss: 0.9518	LR: 0.100000
Training Epoch: 4 [15360/47500]	Loss: 0.7304	LR: 0.100000
Training Epoch: 4 [15616/47500]	Loss: 0.8521	LR: 0.100000
Training Epoch: 4 [15872/47500]	Loss: 0.7684	LR: 0.100000
Training Epoch: 4 [16128/47500]	Loss: 0.9864	LR: 0.100000
Training Epoch: 4 [16384/47500]	Loss: 0.8800	LR: 0.100000
Training Epoch: 4 [16640/47500]	Loss: 0.7974	LR: 0.100000
Training Epoch: 4 [16896/47500]	Loss: 0.8384	LR: 0.100000
Training Epoch: 4 [17152/47500]	Loss: 0.8089	LR: 0.100000
Training Epoch: 4 [17408/47500]	Loss: 0.7501	LR: 0.100000
Training Epoch: 4 [17664/47500]	Loss: 0.8355	LR: 0.100000
Training Epoch: 4 [17920/47500]	Loss: 0.8231	LR: 0.100000
Training Epoch: 4 [18176/47500]	Loss: 0.7505	LR: 0.100000
Training Epoch: 4 [18432/47500]	Loss: 0.8941	LR: 0.100000
Training Epoch: 4 [18688/47500]	Loss: 0.9144	LR: 0.100000
Training Epoch: 4 [18944/47500]	Loss: 0.7329	LR: 0.100000
Training Epoch: 4 [19200/47500]	Loss: 0.7231	LR: 0.100000
Training Epoch: 4 [19456/47500]	Loss: 0.7832	LR: 0.100000
Training Epoch: 4 [19712/47500]	Loss: 0.6740	LR: 0.100000
Training Epoch: 4 [19968/47500]	Loss: 0.6913	LR: 0.100000
Training Epoch: 4 [20224/47500]	Loss: 0.8489	LR: 0.100000
Training Epoch: 4 [20480/47500]	Loss: 0.8641	LR: 0.100000
Training Epoch: 4 [20736/47500]	Loss: 0.9389	LR: 0.100000
Training Epoch: 4 [20992/47500]	Loss: 0.9326	LR: 0.100000
Training Epoch: 4 [21248/47500]	Loss: 0.8177	LR: 0.100000
Training Epoch: 4 [21504/47500]	Loss: 0.7759	LR: 0.100000
Training Epoch: 4 [21760/47500]	Loss: 0.7666	LR: 0.100000
Training Epoch: 4 [22016/47500]	Loss: 0.7906	LR: 0.100000
Training Epoch: 4 [22272/47500]	Loss: 0.8350	LR: 0.100000
Training Epoch: 4 [22528/47500]	Loss: 0.8742	LR: 0.100000
Training Epoch: 4 [22784/47500]	Loss: 0.7390	LR: 0.100000
Training Epoch: 4 [23040/47500]	Loss: 0.8480	LR: 0.100000
Training Epoch: 4 [23296/47500]	Loss: 0.8739	LR: 0.100000
Training Epoch: 4 [23552/47500]	Loss: 0.7774	LR: 0.100000
Training Epoch: 4 [23808/47500]	Loss: 0.8273	LR: 0.100000
Training Epoch: 4 [24064/47500]	Loss: 0.8251	LR: 0.100000
Training Epoch: 4 [24320/47500]	Loss: 0.6913	LR: 0.100000
Training Epoch: 4 [24576/47500]	Loss: 0.7519	LR: 0.100000
Training Epoch: 4 [24832/47500]	Loss: 0.7845	LR: 0.100000
Training Epoch: 4 [25088/47500]	Loss: 0.8820	LR: 0.100000
Training Epoch: 4 [25344/47500]	Loss: 0.6942	LR: 0.100000
Training Epoch: 4 [25600/47500]	Loss: 0.7551	LR: 0.100000
Training Epoch: 4 [25856/47500]	Loss: 0.9640	LR: 0.100000
Training Epoch: 4 [26112/47500]	Loss: 0.8407	LR: 0.100000
Training Epoch: 4 [26368/47500]	Loss: 0.7523	LR: 0.100000
Training Epoch: 4 [26624/47500]	Loss: 0.8065	LR: 0.100000
Training Epoch: 4 [26880/47500]	Loss: 0.8655	LR: 0.100000
Training Epoch: 4 [27136/47500]	Loss: 0.8151	LR: 0.100000
Training Epoch: 4 [27392/47500]	Loss: 0.8780	LR: 0.100000
Training Epoch: 4 [27648/47500]	Loss: 0.7824	LR: 0.100000
Training Epoch: 4 [27904/47500]	Loss: 0.8067	LR: 0.100000
Training Epoch: 4 [28160/47500]	Loss: 0.7812	LR: 0.100000
Training Epoch: 4 [28416/47500]	Loss: 0.7928	LR: 0.100000
Training Epoch: 4 [28672/47500]	Loss: 0.8336	LR: 0.100000
Training Epoch: 4 [28928/47500]	Loss: 0.6855	LR: 0.100000
Training Epoch: 4 [29184/47500]	Loss: 0.6473	LR: 0.100000
Training Epoch: 4 [29440/47500]	Loss: 0.9065	LR: 0.100000
Training Epoch: 4 [29696/47500]	Loss: 0.8820	LR: 0.100000
Training Epoch: 4 [29952/47500]	Loss: 0.7692	LR: 0.100000
Training Epoch: 4 [30208/47500]	Loss: 0.8061	LR: 0.100000
Training Epoch: 4 [30464/47500]	Loss: 0.7315	LR: 0.100000
Training Epoch: 4 [30720/47500]	Loss: 0.7881	LR: 0.100000
Training Epoch: 4 [30976/47500]	Loss: 0.8266	LR: 0.100000
Training Epoch: 4 [31232/47500]	Loss: 0.7076	LR: 0.100000
Training Epoch: 4 [31488/47500]	Loss: 0.7669	LR: 0.100000
Training Epoch: 4 [31744/47500]	Loss: 0.8717	LR: 0.100000
Training Epoch: 4 [32000/47500]	Loss: 0.7786	LR: 0.100000
Training Epoch: 4 [32256/47500]	Loss: 0.7896	LR: 0.100000
Training Epoch: 4 [32512/47500]	Loss: 0.6980	LR: 0.100000
Training Epoch: 4 [32768/47500]	Loss: 0.7578	LR: 0.100000
Training Epoch: 4 [33024/47500]	Loss: 0.7038	LR: 0.100000
Training Epoch: 4 [33280/47500]	Loss: 0.7167	LR: 0.100000
Training Epoch: 4 [33536/47500]	Loss: 0.7209	LR: 0.100000
Training Epoch: 4 [33792/47500]	Loss: 0.7407	LR: 0.100000
Training Epoch: 4 [34048/47500]	Loss: 0.9002	LR: 0.100000
Training Epoch: 4 [34304/47500]	Loss: 0.8041	LR: 0.100000
Training Epoch: 4 [34560/47500]	Loss: 0.7753	LR: 0.100000
Training Epoch: 4 [34816/47500]	Loss: 0.8484	LR: 0.100000
Training Epoch: 4 [35072/47500]	Loss: 0.6680	LR: 0.100000
Training Epoch: 4 [35328/47500]	Loss: 0.7067	LR: 0.100000
Training Epoch: 4 [35584/47500]	Loss: 0.8078	LR: 0.100000
Training Epoch: 4 [35840/47500]	Loss: 0.7095	LR: 0.100000
Training Epoch: 4 [36096/47500]	Loss: 0.8287	LR: 0.100000
Training Epoch: 4 [36352/47500]	Loss: 0.8258	LR: 0.100000
Training Epoch: 4 [36608/47500]	Loss: 0.8385	LR: 0.100000
Training Epoch: 4 [36864/47500]	Loss: 0.8708	LR: 0.100000
Training Epoch: 4 [37120/47500]	Loss: 0.8226	LR: 0.100000
Training Epoch: 4 [37376/47500]	Loss: 0.7836	LR: 0.100000
Training Epoch: 4 [37632/47500]	Loss: 0.8281	LR: 0.100000
Training Epoch: 4 [37888/47500]	Loss: 0.7586	LR: 0.100000
Training Epoch: 4 [38144/47500]	Loss: 0.8678	LR: 0.100000
Training Epoch: 4 [38400/47500]	Loss: 0.8301	LR: 0.100000
Training Epoch: 4 [38656/47500]	Loss: 0.7444	LR: 0.100000
Training Epoch: 4 [38912/47500]	Loss: 0.8160	LR: 0.100000
Training Epoch: 4 [39168/47500]	Loss: 0.7839	LR: 0.100000
Training Epoch: 4 [39424/47500]	Loss: 0.6559	LR: 0.100000
Training Epoch: 4 [39680/47500]	Loss: 0.8132	LR: 0.100000
Training Epoch: 4 [39936/47500]	Loss: 0.7941	LR: 0.100000
Training Epoch: 4 [40192/47500]	Loss: 0.7832	LR: 0.100000
Training Epoch: 4 [40448/47500]	Loss: 0.7461	LR: 0.100000
Training Epoch: 4 [40704/47500]	Loss: 0.8148	LR: 0.100000
Training Epoch: 4 [40960/47500]	Loss: 0.7542	LR: 0.100000
Training Epoch: 4 [41216/47500]	Loss: 0.8183	LR: 0.100000
Training Epoch: 4 [41472/47500]	Loss: 0.7836	LR: 0.100000
Training Epoch: 4 [41728/47500]	Loss: 0.6893	LR: 0.100000
Training Epoch: 4 [41984/47500]	Loss: 0.7672	LR: 0.100000
Training Epoch: 4 [42240/47500]	Loss: 0.7826	LR: 0.100000
Training Epoch: 4 [42496/47500]	Loss: 0.8655	LR: 0.100000
Training Epoch: 4 [42752/47500]	Loss: 0.7630	LR: 0.100000
Training Epoch: 4 [43008/47500]	Loss: 0.8805	LR: 0.100000
Training Epoch: 4 [43264/47500]	Loss: 0.9071	LR: 0.100000
Training Epoch: 4 [43520/47500]	Loss: 0.7805	LR: 0.100000
Training Epoch: 4 [43776/47500]	Loss: 0.8491	LR: 0.100000
Training Epoch: 4 [44032/47500]	Loss: 0.9799	LR: 0.100000
Training Epoch: 4 [44288/47500]	Loss: 0.7256	LR: 0.100000
Training Epoch: 4 [44544/47500]	Loss: 0.8319	LR: 0.100000
Training Epoch: 4 [44800/47500]	Loss: 0.7924	LR: 0.100000
Training Epoch: 4 [45056/47500]	Loss: 0.7691	LR: 0.100000
Training Epoch: 4 [45312/47500]	Loss: 0.7360	LR: 0.100000
Training Epoch: 4 [45568/47500]	Loss: 0.7160	LR: 0.100000
Training Epoch: 4 [45824/47500]	Loss: 0.7468	LR: 0.100000
Training Epoch: 4 [46080/47500]	Loss: 0.8194	LR: 0.100000
Training Epoch: 4 [46336/47500]	Loss: 0.8324	LR: 0.100000
Training Epoch: 4 [46592/47500]	Loss: 0.7615	LR: 0.100000
Training Epoch: 4 [46848/47500]	Loss: 0.7697	LR: 0.100000
Training Epoch: 4 [47104/47500]	Loss: 0.7097	LR: 0.100000
Training Epoch: 4 [47360/47500]	Loss: 0.8093	LR: 0.100000
Training Epoch: 4 [47500/47500]	Loss: 0.7617	LR: 0.100000
Epoch 4 - Average Train Loss: 0.8137, Train Accuracy: 0.7144
Epoch 4 training time consumed: 28.94s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0032, Accuracy: 0.7300, Time consumed:1.61s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_13h_04m_21s/ResNet18-Cifar10-seed4-ret50-4-best.pth
Training Epoch: 5 [256/47500]	Loss: 0.8075	LR: 0.100000
Training Epoch: 5 [512/47500]	Loss: 0.8411	LR: 0.100000
Training Epoch: 5 [768/47500]	Loss: 0.7924	LR: 0.100000
Training Epoch: 5 [1024/47500]	Loss: 0.7045	LR: 0.100000
Training Epoch: 5 [1280/47500]	Loss: 0.7410	LR: 0.100000
Training Epoch: 5 [1536/47500]	Loss: 0.7006	LR: 0.100000
Training Epoch: 5 [1792/47500]	Loss: 0.7455	LR: 0.100000
Training Epoch: 5 [2048/47500]	Loss: 0.8012	LR: 0.100000
Training Epoch: 5 [2304/47500]	Loss: 0.7192	LR: 0.100000
Training Epoch: 5 [2560/47500]	Loss: 0.8861	LR: 0.100000
Training Epoch: 5 [2816/47500]	Loss: 0.6883	LR: 0.100000
Training Epoch: 5 [3072/47500]	Loss: 0.6155	LR: 0.100000
Training Epoch: 5 [3328/47500]	Loss: 0.7554	LR: 0.100000
Training Epoch: 5 [3584/47500]	Loss: 0.6992	LR: 0.100000
Training Epoch: 5 [3840/47500]	Loss: 0.5998	LR: 0.100000
Training Epoch: 5 [4096/47500]	Loss: 0.7400	LR: 0.100000
Training Epoch: 5 [4352/47500]	Loss: 0.8072	LR: 0.100000
Training Epoch: 5 [4608/47500]	Loss: 0.7019	LR: 0.100000
Training Epoch: 5 [4864/47500]	Loss: 0.7413	LR: 0.100000
Training Epoch: 5 [5120/47500]	Loss: 0.7479	LR: 0.100000
Training Epoch: 5 [5376/47500]	Loss: 0.6121	LR: 0.100000
Training Epoch: 5 [5632/47500]	Loss: 0.6646	LR: 0.100000
Training Epoch: 5 [5888/47500]	Loss: 0.7194	LR: 0.100000
Training Epoch: 5 [6144/47500]	Loss: 0.6793	LR: 0.100000
Training Epoch: 5 [6400/47500]	Loss: 0.7869	LR: 0.100000
Training Epoch: 5 [6656/47500]	Loss: 0.7989	LR: 0.100000
Training Epoch: 5 [6912/47500]	Loss: 0.8150	LR: 0.100000
Training Epoch: 5 [7168/47500]	Loss: 0.7173	LR: 0.100000
Training Epoch: 5 [7424/47500]	Loss: 0.7729	LR: 0.100000
Training Epoch: 5 [7680/47500]	Loss: 0.7444	LR: 0.100000
Training Epoch: 5 [7936/47500]	Loss: 0.7229	LR: 0.100000
Training Epoch: 5 [8192/47500]	Loss: 0.7679	LR: 0.100000
Training Epoch: 5 [8448/47500]	Loss: 0.7856	LR: 0.100000
Training Epoch: 5 [8704/47500]	Loss: 0.7707	LR: 0.100000
Training Epoch: 5 [8960/47500]	Loss: 0.7364	LR: 0.100000
Training Epoch: 5 [9216/47500]	Loss: 0.7721	LR: 0.100000
Training Epoch: 5 [9472/47500]	Loss: 0.7381	LR: 0.100000
Training Epoch: 5 [9728/47500]	Loss: 0.7148	LR: 0.100000
Training Epoch: 5 [9984/47500]	Loss: 0.7177	LR: 0.100000
Training Epoch: 5 [10240/47500]	Loss: 0.6870	LR: 0.100000
Training Epoch: 5 [10496/47500]	Loss: 0.8508	LR: 0.100000
Training Epoch: 5 [10752/47500]	Loss: 0.6667	LR: 0.100000
Training Epoch: 5 [11008/47500]	Loss: 0.8159	LR: 0.100000
Training Epoch: 5 [11264/47500]	Loss: 0.6661	LR: 0.100000
Training Epoch: 5 [11520/47500]	Loss: 0.6526	LR: 0.100000
Training Epoch: 5 [11776/47500]	Loss: 0.5804	LR: 0.100000
Training Epoch: 5 [12032/47500]	Loss: 0.6831	LR: 0.100000
Training Epoch: 5 [12288/47500]	Loss: 0.6624	LR: 0.100000
Training Epoch: 5 [12544/47500]	Loss: 0.8077	LR: 0.100000
Training Epoch: 5 [12800/47500]	Loss: 0.5987	LR: 0.100000
Training Epoch: 5 [13056/47500]	Loss: 0.7260	LR: 0.100000
Training Epoch: 5 [13312/47500]	Loss: 0.6100	LR: 0.100000
Training Epoch: 5 [13568/47500]	Loss: 0.5897	LR: 0.100000
Training Epoch: 5 [13824/47500]	Loss: 0.7729	LR: 0.100000
Training Epoch: 5 [14080/47500]	Loss: 0.7540	LR: 0.100000
Training Epoch: 5 [14336/47500]	Loss: 0.6255	LR: 0.100000
Training Epoch: 5 [14592/47500]	Loss: 0.6862	LR: 0.100000
Training Epoch: 5 [14848/47500]	Loss: 0.5955	LR: 0.100000
Training Epoch: 5 [15104/47500]	Loss: 0.7466	LR: 0.100000
Training Epoch: 5 [15360/47500]	Loss: 0.6521	LR: 0.100000
Training Epoch: 5 [15616/47500]	Loss: 0.7499	LR: 0.100000
Training Epoch: 5 [15872/47500]	Loss: 0.7098	LR: 0.100000
Training Epoch: 5 [16128/47500]	Loss: 0.6629	LR: 0.100000
Training Epoch: 5 [16384/47500]	Loss: 0.7905	LR: 0.100000
Training Epoch: 5 [16640/47500]	Loss: 0.7139	LR: 0.100000
Training Epoch: 5 [16896/47500]	Loss: 0.6713	LR: 0.100000
Training Epoch: 5 [17152/47500]	Loss: 0.6771	LR: 0.100000
Training Epoch: 5 [17408/47500]	Loss: 0.7435	LR: 0.100000
Training Epoch: 5 [17664/47500]	Loss: 0.5859	LR: 0.100000
Training Epoch: 5 [17920/47500]	Loss: 0.6145	LR: 0.100000
Training Epoch: 5 [18176/47500]	Loss: 0.6666	LR: 0.100000
Training Epoch: 5 [18432/47500]	Loss: 0.6828	LR: 0.100000
Training Epoch: 5 [18688/47500]	Loss: 0.7527	LR: 0.100000
Training Epoch: 5 [18944/47500]	Loss: 0.7014	LR: 0.100000
Training Epoch: 5 [19200/47500]	Loss: 0.5208	LR: 0.100000
Training Epoch: 5 [19456/47500]	Loss: 0.7393	LR: 0.100000
Training Epoch: 5 [19712/47500]	Loss: 0.7743	LR: 0.100000
Training Epoch: 5 [19968/47500]	Loss: 0.7213	LR: 0.100000
Training Epoch: 5 [20224/47500]	Loss: 0.7078	LR: 0.100000
Training Epoch: 5 [20480/47500]	Loss: 0.7073	LR: 0.100000
Training Epoch: 5 [20736/47500]	Loss: 0.8953	LR: 0.100000
Training Epoch: 5 [20992/47500]	Loss: 0.6098	LR: 0.100000
Training Epoch: 5 [21248/47500]	Loss: 0.7614	LR: 0.100000
Training Epoch: 5 [21504/47500]	Loss: 0.8003	LR: 0.100000
Training Epoch: 5 [21760/47500]	Loss: 0.5937	LR: 0.100000
Training Epoch: 5 [22016/47500]	Loss: 0.6645	LR: 0.100000
Training Epoch: 5 [22272/47500]	Loss: 0.6783	LR: 0.100000
Training Epoch: 5 [22528/47500]	Loss: 0.6552	LR: 0.100000
Training Epoch: 5 [22784/47500]	Loss: 0.7976	LR: 0.100000
Training Epoch: 5 [23040/47500]	Loss: 0.6673	LR: 0.100000
Training Epoch: 5 [23296/47500]	Loss: 0.7777	LR: 0.100000
Training Epoch: 5 [23552/47500]	Loss: 0.6437	LR: 0.100000
Training Epoch: 5 [23808/47500]	Loss: 0.7317	LR: 0.100000
Training Epoch: 5 [24064/47500]	Loss: 0.7671	LR: 0.100000
Training Epoch: 5 [24320/47500]	Loss: 0.7496	LR: 0.100000
Training Epoch: 5 [24576/47500]	Loss: 0.6471	LR: 0.100000
Training Epoch: 5 [24832/47500]	Loss: 0.7092	LR: 0.100000
Training Epoch: 5 [25088/47500]	Loss: 0.6515	LR: 0.100000
Training Epoch: 5 [25344/47500]	Loss: 0.6148	LR: 0.100000
Training Epoch: 5 [25600/47500]	Loss: 0.7192	LR: 0.100000
Training Epoch: 5 [25856/47500]	Loss: 0.7335	LR: 0.100000
Training Epoch: 5 [26112/47500]	Loss: 0.9005	LR: 0.100000
Training Epoch: 5 [26368/47500]	Loss: 0.6871	LR: 0.100000
Training Epoch: 5 [26624/47500]	Loss: 0.7142	LR: 0.100000
Training Epoch: 5 [26880/47500]	Loss: 0.6339	LR: 0.100000
Training Epoch: 5 [27136/47500]	Loss: 0.6033	LR: 0.100000
Training Epoch: 5 [27392/47500]	Loss: 0.6949	LR: 0.100000
Training Epoch: 5 [27648/47500]	Loss: 0.6830	LR: 0.100000
Training Epoch: 5 [27904/47500]	Loss: 0.6646	LR: 0.100000
Training Epoch: 5 [28160/47500]	Loss: 0.7737	LR: 0.100000
Training Epoch: 5 [28416/47500]	Loss: 0.7571	LR: 0.100000
Training Epoch: 5 [28672/47500]	Loss: 0.7345	LR: 0.100000
Training Epoch: 5 [28928/47500]	Loss: 0.7273	LR: 0.100000
Training Epoch: 5 [29184/47500]	Loss: 0.6544	LR: 0.100000
Training Epoch: 5 [29440/47500]	Loss: 0.7412	LR: 0.100000
Training Epoch: 5 [29696/47500]	Loss: 0.6712	LR: 0.100000
Training Epoch: 5 [29952/47500]	Loss: 0.8181	LR: 0.100000
Training Epoch: 5 [30208/47500]	Loss: 0.6419	LR: 0.100000
Training Epoch: 5 [30464/47500]	Loss: 0.7279	LR: 0.100000
Training Epoch: 5 [30720/47500]	Loss: 0.6652	LR: 0.100000
Training Epoch: 5 [30976/47500]	Loss: 0.7110	LR: 0.100000
Training Epoch: 5 [31232/47500]	Loss: 0.7599	LR: 0.100000
Training Epoch: 5 [31488/47500]	Loss: 0.7370	LR: 0.100000
Training Epoch: 5 [31744/47500]	Loss: 0.6584	LR: 0.100000
Training Epoch: 5 [32000/47500]	Loss: 0.6258	LR: 0.100000
Training Epoch: 5 [32256/47500]	Loss: 0.7783	LR: 0.100000
Training Epoch: 5 [32512/47500]	Loss: 0.7202	LR: 0.100000
Training Epoch: 5 [32768/47500]	Loss: 0.7422	LR: 0.100000
Training Epoch: 5 [33024/47500]	Loss: 0.6520	LR: 0.100000
Training Epoch: 5 [33280/47500]	Loss: 0.6262	LR: 0.100000
Training Epoch: 5 [33536/47500]	Loss: 0.6817	LR: 0.100000
Training Epoch: 5 [33792/47500]	Loss: 0.7557	LR: 0.100000
Training Epoch: 5 [34048/47500]	Loss: 0.7024	LR: 0.100000
Training Epoch: 5 [34304/47500]	Loss: 0.6291	LR: 0.100000
Training Epoch: 5 [34560/47500]	Loss: 0.8102	LR: 0.100000
Training Epoch: 5 [34816/47500]	Loss: 0.6338	LR: 0.100000
Training Epoch: 5 [35072/47500]	Loss: 0.7727	LR: 0.100000
Training Epoch: 5 [35328/47500]	Loss: 0.7444	LR: 0.100000
Training Epoch: 5 [35584/47500]	Loss: 0.6658	LR: 0.100000
Training Epoch: 5 [35840/47500]	Loss: 0.7558	LR: 0.100000
Training Epoch: 5 [36096/47500]	Loss: 0.7327	LR: 0.100000
Training Epoch: 5 [36352/47500]	Loss: 0.7382	LR: 0.100000
Training Epoch: 5 [36608/47500]	Loss: 0.7005	LR: 0.100000
Training Epoch: 5 [36864/47500]	Loss: 0.6945	LR: 0.100000
Training Epoch: 5 [37120/47500]	Loss: 0.7458	LR: 0.100000
Training Epoch: 5 [37376/47500]	Loss: 0.7607	LR: 0.100000
Training Epoch: 5 [37632/47500]	Loss: 0.7750	LR: 0.100000
Training Epoch: 5 [37888/47500]	Loss: 0.6331	LR: 0.100000
Training Epoch: 5 [38144/47500]	Loss: 0.6822	LR: 0.100000
Training Epoch: 5 [38400/47500]	Loss: 0.5875	LR: 0.100000
Training Epoch: 5 [38656/47500]	Loss: 0.5608	LR: 0.100000
Training Epoch: 5 [38912/47500]	Loss: 0.6907	LR: 0.100000
Training Epoch: 5 [39168/47500]	Loss: 0.6909	LR: 0.100000
Training Epoch: 5 [39424/47500]	Loss: 0.6472	LR: 0.100000
Training Epoch: 5 [39680/47500]	Loss: 0.6140	LR: 0.100000
Training Epoch: 5 [39936/47500]	Loss: 0.8021	LR: 0.100000
Training Epoch: 5 [40192/47500]	Loss: 0.5902	LR: 0.100000
Training Epoch: 5 [40448/47500]	Loss: 0.5997	LR: 0.100000
Training Epoch: 5 [40704/47500]	Loss: 0.7449	LR: 0.100000
Training Epoch: 5 [40960/47500]	Loss: 0.6456	LR: 0.100000
Training Epoch: 5 [41216/47500]	Loss: 0.7703	LR: 0.100000
Training Epoch: 5 [41472/47500]	Loss: 0.6638	LR: 0.100000
Training Epoch: 5 [41728/47500]	Loss: 0.6215	LR: 0.100000
Training Epoch: 5 [41984/47500]	Loss: 0.6331	LR: 0.100000
Training Epoch: 5 [42240/47500]	Loss: 0.6218	LR: 0.100000
Training Epoch: 5 [42496/47500]	Loss: 0.6183	LR: 0.100000
Training Epoch: 5 [42752/47500]	Loss: 0.7207	LR: 0.100000
Training Epoch: 5 [43008/47500]	Loss: 0.6654	LR: 0.100000
Training Epoch: 5 [43264/47500]	Loss: 0.7136	LR: 0.100000
Training Epoch: 5 [43520/47500]	Loss: 0.6745	LR: 0.100000
Training Epoch: 5 [43776/47500]	Loss: 0.6437	LR: 0.100000
Training Epoch: 5 [44032/47500]	Loss: 0.6664	LR: 0.100000
Training Epoch: 5 [44288/47500]	Loss: 0.8227	LR: 0.100000
Training Epoch: 5 [44544/47500]	Loss: 0.7608	LR: 0.100000
Training Epoch: 5 [44800/47500]	Loss: 0.7178	LR: 0.100000
Training Epoch: 5 [45056/47500]	Loss: 0.8213	LR: 0.100000
Training Epoch: 5 [45312/47500]	Loss: 0.6028	LR: 0.100000
Training Epoch: 5 [45568/47500]	Loss: 0.7478	LR: 0.100000
Training Epoch: 5 [45824/47500]	Loss: 0.6341	LR: 0.100000
Training Epoch: 5 [46080/47500]	Loss: 0.7692	LR: 0.100000
Training Epoch: 5 [46336/47500]	Loss: 0.5972	LR: 0.100000
Training Epoch: 5 [46592/47500]	Loss: 0.7412	LR: 0.100000
Training Epoch: 5 [46848/47500]	Loss: 0.5956	LR: 0.100000
Training Epoch: 5 [47104/47500]	Loss: 0.6583	LR: 0.100000
Training Epoch: 5 [47360/47500]	Loss: 0.7972	LR: 0.100000
Training Epoch: 5 [47500/47500]	Loss: 0.7152	LR: 0.100000
Epoch 5 - Average Train Loss: 0.7062, Train Accuracy: 0.7542
Epoch 5 training time consumed: 29.69s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0030, Accuracy: 0.7374, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_13h_04m_21s/ResNet18-Cifar10-seed4-ret50-5-best.pth
Training Epoch: 6 [256/47500]	Loss: 0.7062	LR: 0.100000
Training Epoch: 6 [512/47500]	Loss: 0.8058	LR: 0.100000
Training Epoch: 6 [768/47500]	Loss: 0.7079	LR: 0.100000
Training Epoch: 6 [1024/47500]	Loss: 0.7949	LR: 0.100000
Training Epoch: 6 [1280/47500]	Loss: 0.6458	LR: 0.100000
Training Epoch: 6 [1536/47500]	Loss: 0.7309	LR: 0.100000
Training Epoch: 6 [1792/47500]	Loss: 0.5948	LR: 0.100000
Training Epoch: 6 [2048/47500]	Loss: 0.5349	LR: 0.100000
Training Epoch: 6 [2304/47500]	Loss: 0.6102	LR: 0.100000
Training Epoch: 6 [2560/47500]	Loss: 0.6259	LR: 0.100000
Training Epoch: 6 [2816/47500]	Loss: 0.6355	LR: 0.100000
Training Epoch: 6 [3072/47500]	Loss: 0.6523	LR: 0.100000
Training Epoch: 6 [3328/47500]	Loss: 0.7829	LR: 0.100000
Training Epoch: 6 [3584/47500]	Loss: 0.6447	LR: 0.100000
Training Epoch: 6 [3840/47500]	Loss: 0.6843	LR: 0.100000
Training Epoch: 6 [4096/47500]	Loss: 0.7289	LR: 0.100000
Training Epoch: 6 [4352/47500]	Loss: 0.8083	LR: 0.100000
Training Epoch: 6 [4608/47500]	Loss: 0.6183	LR: 0.100000
Training Epoch: 6 [4864/47500]	Loss: 0.6801	LR: 0.100000
Training Epoch: 6 [5120/47500]	Loss: 0.6770	LR: 0.100000
Training Epoch: 6 [5376/47500]	Loss: 0.7189	LR: 0.100000
Training Epoch: 6 [5632/47500]	Loss: 0.5392	LR: 0.100000
Training Epoch: 6 [5888/47500]	Loss: 0.6686	LR: 0.100000
Training Epoch: 6 [6144/47500]	Loss: 0.5995	LR: 0.100000
Training Epoch: 6 [6400/47500]	Loss: 0.6314	LR: 0.100000
Training Epoch: 6 [6656/47500]	Loss: 0.6975	LR: 0.100000
Training Epoch: 6 [6912/47500]	Loss: 0.7049	LR: 0.100000
Training Epoch: 6 [7168/47500]	Loss: 0.5992	LR: 0.100000
Training Epoch: 6 [7424/47500]	Loss: 0.6671	LR: 0.100000
Training Epoch: 6 [7680/47500]	Loss: 0.6426	LR: 0.100000
Training Epoch: 6 [7936/47500]	Loss: 0.6883	LR: 0.100000
Training Epoch: 6 [8192/47500]	Loss: 0.6033	LR: 0.100000
Training Epoch: 6 [8448/47500]	Loss: 0.6728	LR: 0.100000
Training Epoch: 6 [8704/47500]	Loss: 0.6841	LR: 0.100000
Training Epoch: 6 [8960/47500]	Loss: 0.6331	LR: 0.100000
Training Epoch: 6 [9216/47500]	Loss: 0.5880	LR: 0.100000
Training Epoch: 6 [9472/47500]	Loss: 0.7208	LR: 0.100000
Training Epoch: 6 [9728/47500]	Loss: 0.5297	LR: 0.100000
Training Epoch: 6 [9984/47500]	Loss: 0.5482	LR: 0.100000
Training Epoch: 6 [10240/47500]	Loss: 0.6137	LR: 0.100000
Training Epoch: 6 [10496/47500]	Loss: 0.6116	LR: 0.100000
Training Epoch: 6 [10752/47500]	Loss: 0.7784	LR: 0.100000
Training Epoch: 6 [11008/47500]	Loss: 0.6643	LR: 0.100000
Training Epoch: 6 [11264/47500]	Loss: 0.6392	LR: 0.100000
Training Epoch: 6 [11520/47500]	Loss: 0.6394	LR: 0.100000
Training Epoch: 6 [11776/47500]	Loss: 0.6033	LR: 0.100000
Training Epoch: 6 [12032/47500]	Loss: 0.6216	LR: 0.100000
Training Epoch: 6 [12288/47500]	Loss: 0.6568	LR: 0.100000
Training Epoch: 6 [12544/47500]	Loss: 0.6162	LR: 0.100000
Training Epoch: 6 [12800/47500]	Loss: 0.6497	LR: 0.100000
Training Epoch: 6 [13056/47500]	Loss: 0.6472	LR: 0.100000
Training Epoch: 6 [13312/47500]	Loss: 0.5428	LR: 0.100000
Training Epoch: 6 [13568/47500]	Loss: 0.7201	LR: 0.100000
Training Epoch: 6 [13824/47500]	Loss: 0.6231	LR: 0.100000
Training Epoch: 6 [14080/47500]	Loss: 0.6693	LR: 0.100000
Training Epoch: 6 [14336/47500]	Loss: 0.7241	LR: 0.100000
Training Epoch: 6 [14592/47500]	Loss: 0.7521	LR: 0.100000
Training Epoch: 6 [14848/47500]	Loss: 0.6050	LR: 0.100000
Training Epoch: 6 [15104/47500]	Loss: 0.6848	LR: 0.100000
Training Epoch: 6 [15360/47500]	Loss: 0.5692	LR: 0.100000
Training Epoch: 6 [15616/47500]	Loss: 0.6944	LR: 0.100000
Training Epoch: 6 [15872/47500]	Loss: 0.5220	LR: 0.100000
Training Epoch: 6 [16128/47500]	Loss: 0.6361	LR: 0.100000
Training Epoch: 6 [16384/47500]	Loss: 0.6268	LR: 0.100000
Training Epoch: 6 [16640/47500]	Loss: 0.5836	LR: 0.100000
Training Epoch: 6 [16896/47500]	Loss: 0.6218	LR: 0.100000
Training Epoch: 6 [17152/47500]	Loss: 0.6151	LR: 0.100000
Training Epoch: 6 [17408/47500]	Loss: 0.6549	LR: 0.100000
Training Epoch: 6 [17664/47500]	Loss: 0.5689	LR: 0.100000
Training Epoch: 6 [17920/47500]	Loss: 0.6902	LR: 0.100000
Training Epoch: 6 [18176/47500]	Loss: 0.7571	LR: 0.100000
Training Epoch: 6 [18432/47500]	Loss: 0.6233	LR: 0.100000
Training Epoch: 6 [18688/47500]	Loss: 0.6639	LR: 0.100000
Training Epoch: 6 [18944/47500]	Loss: 0.4995	LR: 0.100000
Training Epoch: 6 [19200/47500]	Loss: 0.5183	LR: 0.100000
Training Epoch: 6 [19456/47500]	Loss: 0.7198	LR: 0.100000
Training Epoch: 6 [19712/47500]	Loss: 0.6037	LR: 0.100000
Training Epoch: 6 [19968/47500]	Loss: 0.4931	LR: 0.100000
Training Epoch: 6 [20224/47500]	Loss: 0.6376	LR: 0.100000
Training Epoch: 6 [20480/47500]	Loss: 0.6796	LR: 0.100000
Training Epoch: 6 [20736/47500]	Loss: 0.5691	LR: 0.100000
Training Epoch: 6 [20992/47500]	Loss: 0.6470	LR: 0.100000
Training Epoch: 6 [21248/47500]	Loss: 0.6426	LR: 0.100000
Training Epoch: 6 [21504/47500]	Loss: 0.8431	LR: 0.100000
Training Epoch: 6 [21760/47500]	Loss: 0.6469	LR: 0.100000
Training Epoch: 6 [22016/47500]	Loss: 0.5117	LR: 0.100000
Training Epoch: 6 [22272/47500]	Loss: 0.6159	LR: 0.100000
Training Epoch: 6 [22528/47500]	Loss: 0.7150	LR: 0.100000
Training Epoch: 6 [22784/47500]	Loss: 0.5351	LR: 0.100000
Training Epoch: 6 [23040/47500]	Loss: 0.6247	LR: 0.100000
Training Epoch: 6 [23296/47500]	Loss: 0.6968	LR: 0.100000
Training Epoch: 6 [23552/47500]	Loss: 0.7008	LR: 0.100000
Training Epoch: 6 [23808/47500]	Loss: 0.6883	LR: 0.100000
Training Epoch: 6 [24064/47500]	Loss: 0.6301	LR: 0.100000
Training Epoch: 6 [24320/47500]	Loss: 0.6835	LR: 0.100000
Training Epoch: 6 [24576/47500]	Loss: 0.6518	LR: 0.100000
Training Epoch: 6 [24832/47500]	Loss: 0.6738	LR: 0.100000
Training Epoch: 6 [25088/47500]	Loss: 0.6276	LR: 0.100000
Training Epoch: 6 [25344/47500]	Loss: 0.7100	LR: 0.100000
Training Epoch: 6 [25600/47500]	Loss: 0.6275	LR: 0.100000
Training Epoch: 6 [25856/47500]	Loss: 0.6491	LR: 0.100000
Training Epoch: 6 [26112/47500]	Loss: 0.6554	LR: 0.100000
Training Epoch: 6 [26368/47500]	Loss: 0.6612	LR: 0.100000
Training Epoch: 6 [26624/47500]	Loss: 0.6261	LR: 0.100000
Training Epoch: 6 [26880/47500]	Loss: 0.6738	LR: 0.100000
Training Epoch: 6 [27136/47500]	Loss: 0.6483	LR: 0.100000
Training Epoch: 6 [27392/47500]	Loss: 0.5769	LR: 0.100000
Training Epoch: 6 [27648/47500]	Loss: 0.6467	LR: 0.100000
Training Epoch: 6 [27904/47500]	Loss: 0.5730	LR: 0.100000
Training Epoch: 6 [28160/47500]	Loss: 0.6121	LR: 0.100000
Training Epoch: 6 [28416/47500]	Loss: 0.6210	LR: 0.100000
Training Epoch: 6 [28672/47500]	Loss: 0.6555	LR: 0.100000
Training Epoch: 6 [28928/47500]	Loss: 0.6250	LR: 0.100000
Training Epoch: 6 [29184/47500]	Loss: 0.6702	LR: 0.100000
Training Epoch: 6 [29440/47500]	Loss: 0.6215	LR: 0.100000
Training Epoch: 6 [29696/47500]	Loss: 0.5458	LR: 0.100000
Training Epoch: 6 [29952/47500]	Loss: 0.5161	LR: 0.100000
Training Epoch: 6 [30208/47500]	Loss: 0.6505	LR: 0.100000
Training Epoch: 6 [30464/47500]	Loss: 0.6215	LR: 0.100000
Training Epoch: 6 [30720/47500]	Loss: 0.6254	LR: 0.100000
Training Epoch: 6 [30976/47500]	Loss: 0.6879	LR: 0.100000
Training Epoch: 6 [31232/47500]	Loss: 0.6500	LR: 0.100000
Training Epoch: 6 [31488/47500]	Loss: 0.8093	LR: 0.100000
Training Epoch: 6 [31744/47500]	Loss: 0.7660	LR: 0.100000
Training Epoch: 6 [32000/47500]	Loss: 0.6681	LR: 0.100000
Training Epoch: 6 [32256/47500]	Loss: 0.5938	LR: 0.100000
Training Epoch: 6 [32512/47500]	Loss: 0.7282	LR: 0.100000
Training Epoch: 6 [32768/47500]	Loss: 0.6654	LR: 0.100000
Training Epoch: 6 [33024/47500]	Loss: 0.6522	LR: 0.100000
Training Epoch: 6 [33280/47500]	Loss: 0.7644	LR: 0.100000
Training Epoch: 6 [33536/47500]	Loss: 0.5845	LR: 0.100000
Training Epoch: 6 [33792/47500]	Loss: 0.6331	LR: 0.100000
Training Epoch: 6 [34048/47500]	Loss: 0.6334	LR: 0.100000
Training Epoch: 6 [34304/47500]	Loss: 0.7471	LR: 0.100000
Training Epoch: 6 [34560/47500]	Loss: 0.6094	LR: 0.100000
Training Epoch: 6 [34816/47500]	Loss: 0.7253	LR: 0.100000
Training Epoch: 6 [35072/47500]	Loss: 0.5692	LR: 0.100000
Training Epoch: 6 [35328/47500]	Loss: 0.7166	LR: 0.100000
Training Epoch: 6 [35584/47500]	Loss: 0.6275	LR: 0.100000
Training Epoch: 6 [35840/47500]	Loss: 0.6595	LR: 0.100000
Training Epoch: 6 [36096/47500]	Loss: 0.6484	LR: 0.100000
Training Epoch: 6 [36352/47500]	Loss: 0.7357	LR: 0.100000
Training Epoch: 6 [36608/47500]	Loss: 0.7545	LR: 0.100000
Training Epoch: 6 [36864/47500]	Loss: 0.5825	LR: 0.100000
Training Epoch: 6 [37120/47500]	Loss: 0.6641	LR: 0.100000
Training Epoch: 6 [37376/47500]	Loss: 0.7031	LR: 0.100000
Training Epoch: 6 [37632/47500]	Loss: 0.6752	LR: 0.100000
Training Epoch: 6 [37888/47500]	Loss: 0.5969	LR: 0.100000
Training Epoch: 6 [38144/47500]	Loss: 0.6983	LR: 0.100000
Training Epoch: 6 [38400/47500]	Loss: 0.6317	LR: 0.100000
Training Epoch: 6 [38656/47500]	Loss: 0.6586	LR: 0.100000
Training Epoch: 6 [38912/47500]	Loss: 0.6505	LR: 0.100000
Training Epoch: 6 [39168/47500]	Loss: 0.5267	LR: 0.100000
Training Epoch: 6 [39424/47500]	Loss: 0.6243	LR: 0.100000
Training Epoch: 6 [39680/47500]	Loss: 0.6312	LR: 0.100000
Training Epoch: 6 [39936/47500]	Loss: 0.7137	LR: 0.100000
Training Epoch: 6 [40192/47500]	Loss: 0.7645	LR: 0.100000
Training Epoch: 6 [40448/47500]	Loss: 0.5349	LR: 0.100000
Training Epoch: 6 [40704/47500]	Loss: 0.5226	LR: 0.100000
Training Epoch: 6 [40960/47500]	Loss: 0.6708	LR: 0.100000
Training Epoch: 6 [41216/47500]	Loss: 0.6325	LR: 0.100000
Training Epoch: 6 [41472/47500]	Loss: 0.7243	LR: 0.100000
Training Epoch: 6 [41728/47500]	Loss: 0.6312	LR: 0.100000
Training Epoch: 6 [41984/47500]	Loss: 0.7689	LR: 0.100000
Training Epoch: 6 [42240/47500]	Loss: 0.8378	LR: 0.100000
Training Epoch: 6 [42496/47500]	Loss: 0.6354	LR: 0.100000
Training Epoch: 6 [42752/47500]	Loss: 0.6229	LR: 0.100000
Training Epoch: 6 [43008/47500]	Loss: 0.6020	LR: 0.100000
Training Epoch: 6 [43264/47500]	Loss: 0.5855	LR: 0.100000
Training Epoch: 6 [43520/47500]	Loss: 0.7288	LR: 0.100000
Training Epoch: 6 [43776/47500]	Loss: 0.6482	LR: 0.100000
Training Epoch: 6 [44032/47500]	Loss: 0.6594	LR: 0.100000
Training Epoch: 6 [44288/47500]	Loss: 0.6305	LR: 0.100000
Training Epoch: 6 [44544/47500]	Loss: 0.5983	LR: 0.100000
Training Epoch: 6 [44800/47500]	Loss: 0.6205	LR: 0.100000
Training Epoch: 6 [45056/47500]	Loss: 0.6148	LR: 0.100000
Training Epoch: 6 [45312/47500]	Loss: 0.6471	LR: 0.100000
Training Epoch: 6 [45568/47500]	Loss: 0.4899	LR: 0.100000
Training Epoch: 6 [45824/47500]	Loss: 0.6761	LR: 0.100000
Training Epoch: 6 [46080/47500]	Loss: 0.5620	LR: 0.100000
Training Epoch: 6 [46336/47500]	Loss: 0.6410	LR: 0.100000
Training Epoch: 6 [46592/47500]	Loss: 0.5811	LR: 0.100000
Training Epoch: 6 [46848/47500]	Loss: 0.7338	LR: 0.100000
Training Epoch: 6 [47104/47500]	Loss: 0.5312	LR: 0.100000
Training Epoch: 6 [47360/47500]	Loss: 0.6758	LR: 0.100000
Training Epoch: 6 [47500/47500]	Loss: 0.6106	LR: 0.100000
Epoch 6 - Average Train Loss: 0.6481, Train Accuracy: 0.7752
Epoch 6 training time consumed: 29.24s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0027, Accuracy: 0.7769, Time consumed:0.98s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_13h_04m_21s/ResNet18-Cifar10-seed4-ret50-6-best.pth
Training Epoch: 7 [256/47500]	Loss: 0.6770	LR: 0.100000
Training Epoch: 7 [512/47500]	Loss: 0.5973	LR: 0.100000
Training Epoch: 7 [768/47500]	Loss: 0.5837	LR: 0.100000
Training Epoch: 7 [1024/47500]	Loss: 0.6486	LR: 0.100000
Training Epoch: 7 [1280/47500]	Loss: 0.6547	LR: 0.100000
Training Epoch: 7 [1536/47500]	Loss: 0.6631	LR: 0.100000
Training Epoch: 7 [1792/47500]	Loss: 0.5499	LR: 0.100000
Training Epoch: 7 [2048/47500]	Loss: 0.6601	LR: 0.100000
Training Epoch: 7 [2304/47500]	Loss: 0.5615	LR: 0.100000
Training Epoch: 7 [2560/47500]	Loss: 0.5277	LR: 0.100000
Training Epoch: 7 [2816/47500]	Loss: 0.5940	LR: 0.100000
Training Epoch: 7 [3072/47500]	Loss: 0.5979	LR: 0.100000
Training Epoch: 7 [3328/47500]	Loss: 0.5639	LR: 0.100000
Training Epoch: 7 [3584/47500]	Loss: 0.5437	LR: 0.100000
Training Epoch: 7 [3840/47500]	Loss: 0.6888	LR: 0.100000
Training Epoch: 7 [4096/47500]	Loss: 0.5502	LR: 0.100000
Training Epoch: 7 [4352/47500]	Loss: 0.6650	LR: 0.100000
Training Epoch: 7 [4608/47500]	Loss: 0.5628	LR: 0.100000
Training Epoch: 7 [4864/47500]	Loss: 0.6497	LR: 0.100000
Training Epoch: 7 [5120/47500]	Loss: 0.6717	LR: 0.100000
Training Epoch: 7 [5376/47500]	Loss: 0.6235	LR: 0.100000
Training Epoch: 7 [5632/47500]	Loss: 0.6723	LR: 0.100000
Training Epoch: 7 [5888/47500]	Loss: 0.6306	LR: 0.100000
Training Epoch: 7 [6144/47500]	Loss: 0.5416	LR: 0.100000
Training Epoch: 7 [6400/47500]	Loss: 0.5630	LR: 0.100000
Training Epoch: 7 [6656/47500]	Loss: 0.7394	LR: 0.100000
Training Epoch: 7 [6912/47500]	Loss: 0.7337	LR: 0.100000
Training Epoch: 7 [7168/47500]	Loss: 0.5685	LR: 0.100000
Training Epoch: 7 [7424/47500]	Loss: 0.5202	LR: 0.100000
Training Epoch: 7 [7680/47500]	Loss: 0.5539	LR: 0.100000
Training Epoch: 7 [7936/47500]	Loss: 0.5230	LR: 0.100000
Training Epoch: 7 [8192/47500]	Loss: 0.5517	LR: 0.100000
Training Epoch: 7 [8448/47500]	Loss: 0.5337	LR: 0.100000
Training Epoch: 7 [8704/47500]	Loss: 0.5795	LR: 0.100000
Training Epoch: 7 [8960/47500]	Loss: 0.5697	LR: 0.100000
Training Epoch: 7 [9216/47500]	Loss: 0.6481	LR: 0.100000
Training Epoch: 7 [9472/47500]	Loss: 0.5913	LR: 0.100000
Training Epoch: 7 [9728/47500]	Loss: 0.5298	LR: 0.100000
Training Epoch: 7 [9984/47500]	Loss: 0.5048	LR: 0.100000
Training Epoch: 7 [10240/47500]	Loss: 0.6576	LR: 0.100000
Training Epoch: 7 [10496/47500]	Loss: 0.5919	LR: 0.100000
Training Epoch: 7 [10752/47500]	Loss: 0.6259	LR: 0.100000
Training Epoch: 7 [11008/47500]	Loss: 0.5668	LR: 0.100000
Training Epoch: 7 [11264/47500]	Loss: 0.5991	LR: 0.100000
Training Epoch: 7 [11520/47500]	Loss: 0.6503	LR: 0.100000
Training Epoch: 7 [11776/47500]	Loss: 0.6028	LR: 0.100000
Training Epoch: 7 [12032/47500]	Loss: 0.5411	LR: 0.100000
Training Epoch: 7 [12288/47500]	Loss: 0.5367	LR: 0.100000
Training Epoch: 7 [12544/47500]	Loss: 0.5086	LR: 0.100000
Training Epoch: 7 [12800/47500]	Loss: 0.6221	LR: 0.100000
Training Epoch: 7 [13056/47500]	Loss: 0.6136	LR: 0.100000
Training Epoch: 7 [13312/47500]	Loss: 0.6575	LR: 0.100000
Training Epoch: 7 [13568/47500]	Loss: 0.5809	LR: 0.100000
Training Epoch: 7 [13824/47500]	Loss: 0.6332	LR: 0.100000
Training Epoch: 7 [14080/47500]	Loss: 0.5168	LR: 0.100000
Training Epoch: 7 [14336/47500]	Loss: 0.6292	LR: 0.100000
Training Epoch: 7 [14592/47500]	Loss: 0.6266	LR: 0.100000
Training Epoch: 7 [14848/47500]	Loss: 0.5108	LR: 0.100000
Training Epoch: 7 [15104/47500]	Loss: 0.5629	LR: 0.100000
Training Epoch: 7 [15360/47500]	Loss: 0.5863	LR: 0.100000
Training Epoch: 7 [15616/47500]	Loss: 0.4404	LR: 0.100000
Training Epoch: 7 [15872/47500]	Loss: 0.6129	LR: 0.100000
Training Epoch: 7 [16128/47500]	Loss: 0.5484	LR: 0.100000
Training Epoch: 7 [16384/47500]	Loss: 0.4971	LR: 0.100000
Training Epoch: 7 [16640/47500]	Loss: 0.5367	LR: 0.100000
Training Epoch: 7 [16896/47500]	Loss: 0.5439	LR: 0.100000
Training Epoch: 7 [17152/47500]	Loss: 0.5470	LR: 0.100000
Training Epoch: 7 [17408/47500]	Loss: 0.6552	LR: 0.100000
Training Epoch: 7 [17664/47500]	Loss: 0.6494	LR: 0.100000
Training Epoch: 7 [17920/47500]	Loss: 0.6273	LR: 0.100000
Training Epoch: 7 [18176/47500]	Loss: 0.5449	LR: 0.100000
Training Epoch: 7 [18432/47500]	Loss: 0.4364	LR: 0.100000
Training Epoch: 7 [18688/47500]	Loss: 0.5881	LR: 0.100000
Training Epoch: 7 [18944/47500]	Loss: 0.6130	LR: 0.100000
Training Epoch: 7 [19200/47500]	Loss: 0.5046	LR: 0.100000
Training Epoch: 7 [19456/47500]	Loss: 0.5106	LR: 0.100000
Training Epoch: 7 [19712/47500]	Loss: 0.6031	LR: 0.100000
Training Epoch: 7 [19968/47500]	Loss: 0.5476	LR: 0.100000
Training Epoch: 7 [20224/47500]	Loss: 0.7334	LR: 0.100000
Training Epoch: 7 [20480/47500]	Loss: 0.6336	LR: 0.100000
Training Epoch: 7 [20736/47500]	Loss: 0.4753	LR: 0.100000
Training Epoch: 7 [20992/47500]	Loss: 0.5387	LR: 0.100000
Training Epoch: 7 [21248/47500]	Loss: 0.7053	LR: 0.100000
Training Epoch: 7 [21504/47500]	Loss: 0.7047	LR: 0.100000
Training Epoch: 7 [21760/47500]	Loss: 0.5016	LR: 0.100000
Training Epoch: 7 [22016/47500]	Loss: 0.5694	LR: 0.100000
Training Epoch: 7 [22272/47500]	Loss: 0.4944	LR: 0.100000
Training Epoch: 7 [22528/47500]	Loss: 0.6408	LR: 0.100000
Training Epoch: 7 [22784/47500]	Loss: 0.5518	LR: 0.100000
Training Epoch: 7 [23040/47500]	Loss: 0.5906	LR: 0.100000
Training Epoch: 7 [23296/47500]	Loss: 0.6070	LR: 0.100000
Training Epoch: 7 [23552/47500]	Loss: 0.6044	LR: 0.100000
Training Epoch: 7 [23808/47500]	Loss: 0.6488	LR: 0.100000
Training Epoch: 7 [24064/47500]	Loss: 0.5673	LR: 0.100000
Training Epoch: 7 [24320/47500]	Loss: 0.6156	LR: 0.100000
Training Epoch: 7 [24576/47500]	Loss: 0.6264	LR: 0.100000
Training Epoch: 7 [24832/47500]	Loss: 0.6732	LR: 0.100000
Training Epoch: 7 [25088/47500]	Loss: 0.7050	LR: 0.100000
Training Epoch: 7 [25344/47500]	Loss: 0.6011	LR: 0.100000
Training Epoch: 7 [25600/47500]	Loss: 0.5397	LR: 0.100000
Training Epoch: 7 [25856/47500]	Loss: 0.6229	LR: 0.100000
Training Epoch: 7 [26112/47500]	Loss: 0.6044	LR: 0.100000
Training Epoch: 7 [26368/47500]	Loss: 0.6241	LR: 0.100000
Training Epoch: 7 [26624/47500]	Loss: 0.5429	LR: 0.100000
Training Epoch: 7 [26880/47500]	Loss: 0.6282	LR: 0.100000
Training Epoch: 7 [27136/47500]	Loss: 0.7103	LR: 0.100000
Training Epoch: 7 [27392/47500]	Loss: 0.6711	LR: 0.100000
Training Epoch: 7 [27648/47500]	Loss: 0.5853	LR: 0.100000
Training Epoch: 7 [27904/47500]	Loss: 0.6310	LR: 0.100000
Training Epoch: 7 [28160/47500]	Loss: 0.6863	LR: 0.100000
Training Epoch: 7 [28416/47500]	Loss: 0.5353	LR: 0.100000
Training Epoch: 7 [28672/47500]	Loss: 0.5116	LR: 0.100000
Training Epoch: 7 [28928/47500]	Loss: 0.5044	LR: 0.100000
Training Epoch: 7 [29184/47500]	Loss: 0.5889	LR: 0.100000
Training Epoch: 7 [29440/47500]	Loss: 0.5882	LR: 0.100000
Training Epoch: 7 [29696/47500]	Loss: 0.6139	LR: 0.100000
Training Epoch: 7 [29952/47500]	Loss: 0.7101	LR: 0.100000
Training Epoch: 7 [30208/47500]	Loss: 0.6441	LR: 0.100000
Training Epoch: 7 [30464/47500]	Loss: 0.8019	LR: 0.100000
Training Epoch: 7 [30720/47500]	Loss: 0.5688	LR: 0.100000
Training Epoch: 7 [30976/47500]	Loss: 0.6105	LR: 0.100000
Training Epoch: 7 [31232/47500]	Loss: 0.6753	LR: 0.100000
Training Epoch: 7 [31488/47500]	Loss: 0.6612	LR: 0.100000
Training Epoch: 7 [31744/47500]	Loss: 0.7040	LR: 0.100000
Training Epoch: 7 [32000/47500]	Loss: 0.5735	LR: 0.100000
Training Epoch: 7 [32256/47500]	Loss: 0.5522	LR: 0.100000
Training Epoch: 7 [32512/47500]	Loss: 0.5388	LR: 0.100000
Training Epoch: 7 [32768/47500]	Loss: 0.6342	LR: 0.100000
Training Epoch: 7 [33024/47500]	Loss: 0.5996	LR: 0.100000
Training Epoch: 7 [33280/47500]	Loss: 0.5350	LR: 0.100000
Training Epoch: 7 [33536/47500]	Loss: 0.8178	LR: 0.100000
Training Epoch: 7 [33792/47500]	Loss: 0.5656	LR: 0.100000
Training Epoch: 7 [34048/47500]	Loss: 0.6095	LR: 0.100000
Training Epoch: 7 [34304/47500]	Loss: 0.4128	LR: 0.100000
Training Epoch: 7 [34560/47500]	Loss: 0.6182	LR: 0.100000
Training Epoch: 7 [34816/47500]	Loss: 0.6242	LR: 0.100000
Training Epoch: 7 [35072/47500]	Loss: 0.6285	LR: 0.100000
Training Epoch: 7 [35328/47500]	Loss: 0.5603	LR: 0.100000
Training Epoch: 7 [35584/47500]	Loss: 0.6195	LR: 0.100000
Training Epoch: 7 [35840/47500]	Loss: 0.5559	LR: 0.100000
Training Epoch: 7 [36096/47500]	Loss: 0.6184	LR: 0.100000
Training Epoch: 7 [36352/47500]	Loss: 0.5937	LR: 0.100000
Training Epoch: 7 [36608/47500]	Loss: 0.7103	LR: 0.100000
Training Epoch: 7 [36864/47500]	Loss: 0.5381	LR: 0.100000
Training Epoch: 7 [37120/47500]	Loss: 0.6018	LR: 0.100000
Training Epoch: 7 [37376/47500]	Loss: 0.5893	LR: 0.100000
Training Epoch: 7 [37632/47500]	Loss: 0.6482	LR: 0.100000
Training Epoch: 7 [37888/47500]	Loss: 0.6102	LR: 0.100000
Training Epoch: 7 [38144/47500]	Loss: 0.5261	LR: 0.100000
Training Epoch: 7 [38400/47500]	Loss: 0.5591	LR: 0.100000
Training Epoch: 7 [38656/47500]	Loss: 0.6897	LR: 0.100000
Training Epoch: 7 [38912/47500]	Loss: 0.7004	LR: 0.100000
Training Epoch: 7 [39168/47500]	Loss: 0.5794	LR: 0.100000
Training Epoch: 7 [39424/47500]	Loss: 0.6642	LR: 0.100000
Training Epoch: 7 [39680/47500]	Loss: 0.6220	LR: 0.100000
Training Epoch: 7 [39936/47500]	Loss: 0.5579	LR: 0.100000
Training Epoch: 7 [40192/47500]	Loss: 0.5585	LR: 0.100000
Training Epoch: 7 [40448/47500]	Loss: 0.6827	LR: 0.100000
Training Epoch: 7 [40704/47500]	Loss: 0.6437	LR: 0.100000
Training Epoch: 7 [40960/47500]	Loss: 0.5630	LR: 0.100000
Training Epoch: 7 [41216/47500]	Loss: 0.6672	LR: 0.100000
Training Epoch: 7 [41472/47500]	Loss: 0.5669	LR: 0.100000
Training Epoch: 7 [41728/47500]	Loss: 0.5630	LR: 0.100000
Training Epoch: 7 [41984/47500]	Loss: 0.4917	LR: 0.100000
Training Epoch: 7 [42240/47500]	Loss: 0.6258	LR: 0.100000
Training Epoch: 7 [42496/47500]	Loss: 0.6718	LR: 0.100000
Training Epoch: 7 [42752/47500]	Loss: 0.6013	LR: 0.100000
Training Epoch: 7 [43008/47500]	Loss: 0.5185	LR: 0.100000
Training Epoch: 7 [43264/47500]	Loss: 0.6748	LR: 0.100000
Training Epoch: 7 [43520/47500]	Loss: 0.5253	LR: 0.100000
Training Epoch: 7 [43776/47500]	Loss: 0.5847	LR: 0.100000
Training Epoch: 7 [44032/47500]	Loss: 0.6304	LR: 0.100000
Training Epoch: 7 [44288/47500]	Loss: 0.5998	LR: 0.100000
Training Epoch: 7 [44544/47500]	Loss: 0.6059	LR: 0.100000
Training Epoch: 7 [44800/47500]	Loss: 0.5869	LR: 0.100000
Training Epoch: 7 [45056/47500]	Loss: 0.5541	LR: 0.100000
Training Epoch: 7 [45312/47500]	Loss: 0.5826	LR: 0.100000
Training Epoch: 7 [45568/47500]	Loss: 0.5331	LR: 0.100000
Training Epoch: 7 [45824/47500]	Loss: 0.4641	LR: 0.100000
Training Epoch: 7 [46080/47500]	Loss: 0.5612	LR: 0.100000
Training Epoch: 7 [46336/47500]	Loss: 0.5557	LR: 0.100000
Training Epoch: 7 [46592/47500]	Loss: 0.5758	LR: 0.100000
Training Epoch: 7 [46848/47500]	Loss: 0.5934	LR: 0.100000
Training Epoch: 7 [47104/47500]	Loss: 0.5024	LR: 0.100000
Training Epoch: 7 [47360/47500]	Loss: 0.5929	LR: 0.100000
Training Epoch: 7 [47500/47500]	Loss: 0.6976	LR: 0.100000
Epoch 7 - Average Train Loss: 0.5965, Train Accuracy: 0.7933
Epoch 7 training time consumed: 29.32s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0023, Accuracy: 0.8065, Time consumed:1.01s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_13h_04m_21s/ResNet18-Cifar10-seed4-ret50-7-best.pth
Training Epoch: 8 [256/47500]	Loss: 0.5364	LR: 0.020000
Training Epoch: 8 [512/47500]	Loss: 0.6128	LR: 0.020000
Training Epoch: 8 [768/47500]	Loss: 0.5900	LR: 0.020000
Training Epoch: 8 [1024/47500]	Loss: 0.4834	LR: 0.020000
Training Epoch: 8 [1280/47500]	Loss: 0.5250	LR: 0.020000
Training Epoch: 8 [1536/47500]	Loss: 0.5788	LR: 0.020000
Training Epoch: 8 [1792/47500]	Loss: 0.5642	LR: 0.020000
Training Epoch: 8 [2048/47500]	Loss: 0.4477	LR: 0.020000
Training Epoch: 8 [2304/47500]	Loss: 0.5673	LR: 0.020000
Training Epoch: 8 [2560/47500]	Loss: 0.4824	LR: 0.020000
Training Epoch: 8 [2816/47500]	Loss: 0.4451	LR: 0.020000
Training Epoch: 8 [3072/47500]	Loss: 0.4621	LR: 0.020000
Training Epoch: 8 [3328/47500]	Loss: 0.5302	LR: 0.020000
Training Epoch: 8 [3584/47500]	Loss: 0.4730	LR: 0.020000
Training Epoch: 8 [3840/47500]	Loss: 0.5336	LR: 0.020000
Training Epoch: 8 [4096/47500]	Loss: 0.4750	LR: 0.020000
Training Epoch: 8 [4352/47500]	Loss: 0.5578	LR: 0.020000
Training Epoch: 8 [4608/47500]	Loss: 0.5020	LR: 0.020000
Training Epoch: 8 [4864/47500]	Loss: 0.5046	LR: 0.020000
Training Epoch: 8 [5120/47500]	Loss: 0.4217	LR: 0.020000
Training Epoch: 8 [5376/47500]	Loss: 0.4337	LR: 0.020000
Training Epoch: 8 [5632/47500]	Loss: 0.5053	LR: 0.020000
Training Epoch: 8 [5888/47500]	Loss: 0.4589	LR: 0.020000
Training Epoch: 8 [6144/47500]	Loss: 0.4613	LR: 0.020000
Training Epoch: 8 [6400/47500]	Loss: 0.4516	LR: 0.020000
Training Epoch: 8 [6656/47500]	Loss: 0.4313	LR: 0.020000
Training Epoch: 8 [6912/47500]	Loss: 0.3179	LR: 0.020000
Training Epoch: 8 [7168/47500]	Loss: 0.4749	LR: 0.020000
Training Epoch: 8 [7424/47500]	Loss: 0.5123	LR: 0.020000
Training Epoch: 8 [7680/47500]	Loss: 0.4537	LR: 0.020000
Training Epoch: 8 [7936/47500]	Loss: 0.4475	LR: 0.020000
Training Epoch: 8 [8192/47500]	Loss: 0.4523	LR: 0.020000
Training Epoch: 8 [8448/47500]	Loss: 0.4533	LR: 0.020000
Training Epoch: 8 [8704/47500]	Loss: 0.4535	LR: 0.020000
Training Epoch: 8 [8960/47500]	Loss: 0.4438	LR: 0.020000
Training Epoch: 8 [9216/47500]	Loss: 0.3922	LR: 0.020000
Training Epoch: 8 [9472/47500]	Loss: 0.4127	LR: 0.020000
Training Epoch: 8 [9728/47500]	Loss: 0.4962	LR: 0.020000
Training Epoch: 8 [9984/47500]	Loss: 0.3931	LR: 0.020000
Training Epoch: 8 [10240/47500]	Loss: 0.4008	LR: 0.020000
Training Epoch: 8 [10496/47500]	Loss: 0.4887	LR: 0.020000
Training Epoch: 8 [10752/47500]	Loss: 0.4585	LR: 0.020000
Training Epoch: 8 [11008/47500]	Loss: 0.5453	LR: 0.020000
Training Epoch: 8 [11264/47500]	Loss: 0.5489	LR: 0.020000
Training Epoch: 8 [11520/47500]	Loss: 0.5456	LR: 0.020000
Training Epoch: 8 [11776/47500]	Loss: 0.4857	LR: 0.020000
Training Epoch: 8 [12032/47500]	Loss: 0.3907	LR: 0.020000
Training Epoch: 8 [12288/47500]	Loss: 0.4732	LR: 0.020000
Training Epoch: 8 [12544/47500]	Loss: 0.3704	LR: 0.020000
Training Epoch: 8 [12800/47500]	Loss: 0.4304	LR: 0.020000
Training Epoch: 8 [13056/47500]	Loss: 0.5114	LR: 0.020000
Training Epoch: 8 [13312/47500]	Loss: 0.4782	LR: 0.020000
Training Epoch: 8 [13568/47500]	Loss: 0.4196	LR: 0.020000
Training Epoch: 8 [13824/47500]	Loss: 0.3818	LR: 0.020000
Training Epoch: 8 [14080/47500]	Loss: 0.4116	LR: 0.020000
Training Epoch: 8 [14336/47500]	Loss: 0.5255	LR: 0.020000
Training Epoch: 8 [14592/47500]	Loss: 0.4924	LR: 0.020000
Training Epoch: 8 [14848/47500]	Loss: 0.4349	LR: 0.020000
Training Epoch: 8 [15104/47500]	Loss: 0.4067	LR: 0.020000
Training Epoch: 8 [15360/47500]	Loss: 0.4493	LR: 0.020000
Training Epoch: 8 [15616/47500]	Loss: 0.3487	LR: 0.020000
Training Epoch: 8 [15872/47500]	Loss: 0.4510	LR: 0.020000
Training Epoch: 8 [16128/47500]	Loss: 0.4925	LR: 0.020000
Training Epoch: 8 [16384/47500]	Loss: 0.3985	LR: 0.020000
Training Epoch: 8 [16640/47500]	Loss: 0.4674	LR: 0.020000
Training Epoch: 8 [16896/47500]	Loss: 0.4364	LR: 0.020000
Training Epoch: 8 [17152/47500]	Loss: 0.4158	LR: 0.020000
Training Epoch: 8 [17408/47500]	Loss: 0.3372	LR: 0.020000
Training Epoch: 8 [17664/47500]	Loss: 0.4822	LR: 0.020000
Training Epoch: 8 [17920/47500]	Loss: 0.3874	LR: 0.020000
Training Epoch: 8 [18176/47500]	Loss: 0.5027	LR: 0.020000
Training Epoch: 8 [18432/47500]	Loss: 0.4591	LR: 0.020000
Training Epoch: 8 [18688/47500]	Loss: 0.5155	LR: 0.020000
Training Epoch: 8 [18944/47500]	Loss: 0.4428	LR: 0.020000
Training Epoch: 8 [19200/47500]	Loss: 0.4896	LR: 0.020000
Training Epoch: 8 [19456/47500]	Loss: 0.4651	LR: 0.020000
Training Epoch: 8 [19712/47500]	Loss: 0.5153	LR: 0.020000
Training Epoch: 8 [19968/47500]	Loss: 0.4558	LR: 0.020000
Training Epoch: 8 [20224/47500]	Loss: 0.3857	LR: 0.020000
Training Epoch: 8 [20480/47500]	Loss: 0.3486	LR: 0.020000
Training Epoch: 8 [20736/47500]	Loss: 0.5123	LR: 0.020000
Training Epoch: 8 [20992/47500]	Loss: 0.4937	LR: 0.020000
Training Epoch: 8 [21248/47500]	Loss: 0.4846	LR: 0.020000
Training Epoch: 8 [21504/47500]	Loss: 0.4203	LR: 0.020000
Training Epoch: 8 [21760/47500]	Loss: 0.4540	LR: 0.020000
Training Epoch: 8 [22016/47500]	Loss: 0.3934	LR: 0.020000
Training Epoch: 8 [22272/47500]	Loss: 0.4448	LR: 0.020000
Training Epoch: 8 [22528/47500]	Loss: 0.4962	LR: 0.020000
Training Epoch: 8 [22784/47500]	Loss: 0.3365	LR: 0.020000
Training Epoch: 8 [23040/47500]	Loss: 0.5119	LR: 0.020000
Training Epoch: 8 [23296/47500]	Loss: 0.4428	LR: 0.020000
Training Epoch: 8 [23552/47500]	Loss: 0.3539	LR: 0.020000
Training Epoch: 8 [23808/47500]	Loss: 0.4051	LR: 0.020000
Training Epoch: 8 [24064/47500]	Loss: 0.3537	LR: 0.020000
Training Epoch: 8 [24320/47500]	Loss: 0.5353	LR: 0.020000
Training Epoch: 8 [24576/47500]	Loss: 0.5583	LR: 0.020000
Training Epoch: 8 [24832/47500]	Loss: 0.3995	LR: 0.020000
Training Epoch: 8 [25088/47500]	Loss: 0.4514	LR: 0.020000
Training Epoch: 8 [25344/47500]	Loss: 0.4401	LR: 0.020000
Training Epoch: 8 [25600/47500]	Loss: 0.3999	LR: 0.020000
Training Epoch: 8 [25856/47500]	Loss: 0.4745	LR: 0.020000
Training Epoch: 8 [26112/47500]	Loss: 0.4465	LR: 0.020000
Training Epoch: 8 [26368/47500]	Loss: 0.3735	LR: 0.020000
Training Epoch: 8 [26624/47500]	Loss: 0.3409	LR: 0.020000
Training Epoch: 8 [26880/47500]	Loss: 0.4562	LR: 0.020000
Training Epoch: 8 [27136/47500]	Loss: 0.4842	LR: 0.020000
Training Epoch: 8 [27392/47500]	Loss: 0.4149	LR: 0.020000
Training Epoch: 8 [27648/47500]	Loss: 0.4259	LR: 0.020000
Training Epoch: 8 [27904/47500]	Loss: 0.4825	LR: 0.020000
Training Epoch: 8 [28160/47500]	Loss: 0.3150	LR: 0.020000
Training Epoch: 8 [28416/47500]	Loss: 0.5973	LR: 0.020000
Training Epoch: 8 [28672/47500]	Loss: 0.4566	LR: 0.020000
Training Epoch: 8 [28928/47500]	Loss: 0.4280	LR: 0.020000
Training Epoch: 8 [29184/47500]	Loss: 0.3592	LR: 0.020000
Training Epoch: 8 [29440/47500]	Loss: 0.3656	LR: 0.020000
Training Epoch: 8 [29696/47500]	Loss: 0.4360	LR: 0.020000
Training Epoch: 8 [29952/47500]	Loss: 0.4050	LR: 0.020000
Training Epoch: 8 [30208/47500]	Loss: 0.5398	LR: 0.020000
Training Epoch: 8 [30464/47500]	Loss: 0.4531	LR: 0.020000
Training Epoch: 8 [30720/47500]	Loss: 0.4440	LR: 0.020000
Training Epoch: 8 [30976/47500]	Loss: 0.3622	LR: 0.020000
Training Epoch: 8 [31232/47500]	Loss: 0.4198	LR: 0.020000
Training Epoch: 8 [31488/47500]	Loss: 0.4793	LR: 0.020000
Training Epoch: 8 [31744/47500]	Loss: 0.4399	LR: 0.020000
Training Epoch: 8 [32000/47500]	Loss: 0.4420	LR: 0.020000
Training Epoch: 8 [32256/47500]	Loss: 0.4737	LR: 0.020000
Training Epoch: 8 [32512/47500]	Loss: 0.4500	LR: 0.020000
Training Epoch: 8 [32768/47500]	Loss: 0.5762	LR: 0.020000
Training Epoch: 8 [33024/47500]	Loss: 0.5503	LR: 0.020000
Training Epoch: 8 [33280/47500]	Loss: 0.4500	LR: 0.020000
Training Epoch: 8 [33536/47500]	Loss: 0.4142	LR: 0.020000
Training Epoch: 8 [33792/47500]	Loss: 0.3876	LR: 0.020000
Training Epoch: 8 [34048/47500]	Loss: 0.3841	LR: 0.020000
Training Epoch: 8 [34304/47500]	Loss: 0.4403	LR: 0.020000
Training Epoch: 8 [34560/47500]	Loss: 0.3209	LR: 0.020000
Training Epoch: 8 [34816/47500]	Loss: 0.3668	LR: 0.020000
Training Epoch: 8 [35072/47500]	Loss: 0.3170	LR: 0.020000
Training Epoch: 8 [35328/47500]	Loss: 0.4040	LR: 0.020000
Training Epoch: 8 [35584/47500]	Loss: 0.4847	LR: 0.020000
Training Epoch: 8 [35840/47500]	Loss: 0.4764	LR: 0.020000
Training Epoch: 8 [36096/47500]	Loss: 0.3584	LR: 0.020000
Training Epoch: 8 [36352/47500]	Loss: 0.3931	LR: 0.020000
Training Epoch: 8 [36608/47500]	Loss: 0.4160	LR: 0.020000
Training Epoch: 8 [36864/47500]	Loss: 0.4037	LR: 0.020000
Training Epoch: 8 [37120/47500]	Loss: 0.4039	LR: 0.020000
Training Epoch: 8 [37376/47500]	Loss: 0.4283	LR: 0.020000
Training Epoch: 8 [37632/47500]	Loss: 0.3376	LR: 0.020000
Training Epoch: 8 [37888/47500]	Loss: 0.4989	LR: 0.020000
Training Epoch: 8 [38144/47500]	Loss: 0.2854	LR: 0.020000
Training Epoch: 8 [38400/47500]	Loss: 0.2701	LR: 0.020000
Training Epoch: 8 [38656/47500]	Loss: 0.4128	LR: 0.020000
Training Epoch: 8 [38912/47500]	Loss: 0.4610	LR: 0.020000
Training Epoch: 8 [39168/47500]	Loss: 0.3354	LR: 0.020000
Training Epoch: 8 [39424/47500]	Loss: 0.4612	LR: 0.020000
Training Epoch: 8 [39680/47500]	Loss: 0.5014	LR: 0.020000
Training Epoch: 8 [39936/47500]	Loss: 0.4430	LR: 0.020000
Training Epoch: 8 [40192/47500]	Loss: 0.3499	LR: 0.020000
Training Epoch: 8 [40448/47500]	Loss: 0.3680	LR: 0.020000
Training Epoch: 8 [40704/47500]	Loss: 0.4293	LR: 0.020000
Training Epoch: 8 [40960/47500]	Loss: 0.4608	LR: 0.020000
Training Epoch: 8 [41216/47500]	Loss: 0.4187	LR: 0.020000
Training Epoch: 8 [41472/47500]	Loss: 0.4033	LR: 0.020000
Training Epoch: 8 [41728/47500]	Loss: 0.4981	LR: 0.020000
Training Epoch: 8 [41984/47500]	Loss: 0.4409	LR: 0.020000
Training Epoch: 8 [42240/47500]	Loss: 0.4969	LR: 0.020000
Training Epoch: 8 [42496/47500]	Loss: 0.5258	LR: 0.020000
Training Epoch: 8 [42752/47500]	Loss: 0.4363	LR: 0.020000
Training Epoch: 8 [43008/47500]	Loss: 0.4244	LR: 0.020000
Training Epoch: 8 [43264/47500]	Loss: 0.4934	LR: 0.020000
Training Epoch: 8 [43520/47500]	Loss: 0.4277	LR: 0.020000
Training Epoch: 8 [43776/47500]	Loss: 0.4736	LR: 0.020000
Training Epoch: 8 [44032/47500]	Loss: 0.4715	LR: 0.020000
Training Epoch: 8 [44288/47500]	Loss: 0.3572	LR: 0.020000
Training Epoch: 8 [44544/47500]	Loss: 0.3551	LR: 0.020000
Training Epoch: 8 [44800/47500]	Loss: 0.3912	LR: 0.020000
Training Epoch: 8 [45056/47500]	Loss: 0.3706	LR: 0.020000
Training Epoch: 8 [45312/47500]	Loss: 0.4369	LR: 0.020000
Training Epoch: 8 [45568/47500]	Loss: 0.3744	LR: 0.020000
Training Epoch: 8 [45824/47500]	Loss: 0.3789	LR: 0.020000
Training Epoch: 8 [46080/47500]	Loss: 0.4236	LR: 0.020000
Training Epoch: 8 [46336/47500]	Loss: 0.5116	LR: 0.020000
Training Epoch: 8 [46592/47500]	Loss: 0.3242	LR: 0.020000
Training Epoch: 8 [46848/47500]	Loss: 0.4527	LR: 0.020000
Training Epoch: 8 [47104/47500]	Loss: 0.4206	LR: 0.020000
Training Epoch: 8 [47360/47500]	Loss: 0.4733	LR: 0.020000
Training Epoch: 8 [47500/47500]	Loss: 0.3801	LR: 0.020000
Epoch 8 - Average Train Loss: 0.4442, Train Accuracy: 0.8438
Epoch 8 training time consumed: 29.29s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0017, Accuracy: 0.8515, Time consumed:1.02s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_13h_04m_21s/ResNet18-Cifar10-seed4-ret50-8-best.pth
Training Epoch: 9 [256/47500]	Loss: 0.4685	LR: 0.020000
Training Epoch: 9 [512/47500]	Loss: 0.3672	LR: 0.020000
Training Epoch: 9 [768/47500]	Loss: 0.4123	LR: 0.020000
Training Epoch: 9 [1024/47500]	Loss: 0.3809	LR: 0.020000
Training Epoch: 9 [1280/47500]	Loss: 0.3474	LR: 0.020000
Training Epoch: 9 [1536/47500]	Loss: 0.4075	LR: 0.020000
Training Epoch: 9 [1792/47500]	Loss: 0.4611	LR: 0.020000
Training Epoch: 9 [2048/47500]	Loss: 0.4120	LR: 0.020000
Training Epoch: 9 [2304/47500]	Loss: 0.4712	LR: 0.020000
Training Epoch: 9 [2560/47500]	Loss: 0.4492	LR: 0.020000
Training Epoch: 9 [2816/47500]	Loss: 0.4665	LR: 0.020000
Training Epoch: 9 [3072/47500]	Loss: 0.4052	LR: 0.020000
Training Epoch: 9 [3328/47500]	Loss: 0.3776	LR: 0.020000
Training Epoch: 9 [3584/47500]	Loss: 0.4390	LR: 0.020000
Training Epoch: 9 [3840/47500]	Loss: 0.4889	LR: 0.020000
Training Epoch: 9 [4096/47500]	Loss: 0.3787	LR: 0.020000
Training Epoch: 9 [4352/47500]	Loss: 0.4381	LR: 0.020000
Training Epoch: 9 [4608/47500]	Loss: 0.4109	LR: 0.020000
Training Epoch: 9 [4864/47500]	Loss: 0.4511	LR: 0.020000
Training Epoch: 9 [5120/47500]	Loss: 0.4056	LR: 0.020000
Training Epoch: 9 [5376/47500]	Loss: 0.4414	LR: 0.020000
Training Epoch: 9 [5632/47500]	Loss: 0.3281	LR: 0.020000
Training Epoch: 9 [5888/47500]	Loss: 0.3706	LR: 0.020000
Training Epoch: 9 [6144/47500]	Loss: 0.4712	LR: 0.020000
Training Epoch: 9 [6400/47500]	Loss: 0.3591	LR: 0.020000
Training Epoch: 9 [6656/47500]	Loss: 0.4499	LR: 0.020000
Training Epoch: 9 [6912/47500]	Loss: 0.4281	LR: 0.020000
Training Epoch: 9 [7168/47500]	Loss: 0.3652	LR: 0.020000
Training Epoch: 9 [7424/47500]	Loss: 0.4059	LR: 0.020000
Training Epoch: 9 [7680/47500]	Loss: 0.3658	LR: 0.020000
Training Epoch: 9 [7936/47500]	Loss: 0.4408	LR: 0.020000
Training Epoch: 9 [8192/47500]	Loss: 0.3642	LR: 0.020000
Training Epoch: 9 [8448/47500]	Loss: 0.3413	LR: 0.020000
Training Epoch: 9 [8704/47500]	Loss: 0.3731	LR: 0.020000
Training Epoch: 9 [8960/47500]	Loss: 0.3538	LR: 0.020000
Training Epoch: 9 [9216/47500]	Loss: 0.4129	LR: 0.020000
Training Epoch: 9 [9472/47500]	Loss: 0.4989	LR: 0.020000
Training Epoch: 9 [9728/47500]	Loss: 0.3743	LR: 0.020000
Training Epoch: 9 [9984/47500]	Loss: 0.3868	LR: 0.020000
Training Epoch: 9 [10240/47500]	Loss: 0.3220	LR: 0.020000
Training Epoch: 9 [10496/47500]	Loss: 0.3909	LR: 0.020000
Training Epoch: 9 [10752/47500]	Loss: 0.3566	LR: 0.020000
Training Epoch: 9 [11008/47500]	Loss: 0.3614	LR: 0.020000
Training Epoch: 9 [11264/47500]	Loss: 0.3404	LR: 0.020000
Training Epoch: 9 [11520/47500]	Loss: 0.5297	LR: 0.020000
Training Epoch: 9 [11776/47500]	Loss: 0.3832	LR: 0.020000
Training Epoch: 9 [12032/47500]	Loss: 0.4538	LR: 0.020000
Training Epoch: 9 [12288/47500]	Loss: 0.3435	LR: 0.020000
Training Epoch: 9 [12544/47500]	Loss: 0.4053	LR: 0.020000
Training Epoch: 9 [12800/47500]	Loss: 0.3519	LR: 0.020000
Training Epoch: 9 [13056/47500]	Loss: 0.4377	LR: 0.020000
Training Epoch: 9 [13312/47500]	Loss: 0.4440	LR: 0.020000
Training Epoch: 9 [13568/47500]	Loss: 0.3055	LR: 0.020000
Training Epoch: 9 [13824/47500]	Loss: 0.3812	LR: 0.020000
Training Epoch: 9 [14080/47500]	Loss: 0.4752	LR: 0.020000
Training Epoch: 9 [14336/47500]	Loss: 0.4649	LR: 0.020000
Training Epoch: 9 [14592/47500]	Loss: 0.3258	LR: 0.020000
Training Epoch: 9 [14848/47500]	Loss: 0.5023	LR: 0.020000
Training Epoch: 9 [15104/47500]	Loss: 0.5230	LR: 0.020000
Training Epoch: 9 [15360/47500]	Loss: 0.4229	LR: 0.020000
Training Epoch: 9 [15616/47500]	Loss: 0.4746	LR: 0.020000
Training Epoch: 9 [15872/47500]	Loss: 0.4283	LR: 0.020000
Training Epoch: 9 [16128/47500]	Loss: 0.3212	LR: 0.020000
Training Epoch: 9 [16384/47500]	Loss: 0.3725	LR: 0.020000
Training Epoch: 9 [16640/47500]	Loss: 0.3916	LR: 0.020000
Training Epoch: 9 [16896/47500]	Loss: 0.4326	LR: 0.020000
Training Epoch: 9 [17152/47500]	Loss: 0.4406	LR: 0.020000
Training Epoch: 9 [17408/47500]	Loss: 0.4406	LR: 0.020000
Training Epoch: 9 [17664/47500]	Loss: 0.3744	LR: 0.020000
Training Epoch: 9 [17920/47500]	Loss: 0.4926	LR: 0.020000
Training Epoch: 9 [18176/47500]	Loss: 0.4369	LR: 0.020000
Training Epoch: 9 [18432/47500]	Loss: 0.4901	LR: 0.020000
Training Epoch: 9 [18688/47500]	Loss: 0.3767	LR: 0.020000
Training Epoch: 9 [18944/47500]	Loss: 0.3757	LR: 0.020000
Training Epoch: 9 [19200/47500]	Loss: 0.3521	LR: 0.020000
Training Epoch: 9 [19456/47500]	Loss: 0.4636	LR: 0.020000
Training Epoch: 9 [19712/47500]	Loss: 0.3569	LR: 0.020000
Training Epoch: 9 [19968/47500]	Loss: 0.3940	LR: 0.020000
Training Epoch: 9 [20224/47500]	Loss: 0.4050	LR: 0.020000
Training Epoch: 9 [20480/47500]	Loss: 0.4061	LR: 0.020000
Training Epoch: 9 [20736/47500]	Loss: 0.2981	LR: 0.020000
Training Epoch: 9 [20992/47500]	Loss: 0.3997	LR: 0.020000
Training Epoch: 9 [21248/47500]	Loss: 0.3798	LR: 0.020000
Training Epoch: 9 [21504/47500]	Loss: 0.5016	LR: 0.020000
Training Epoch: 9 [21760/47500]	Loss: 0.3509	LR: 0.020000
Training Epoch: 9 [22016/47500]	Loss: 0.4527	LR: 0.020000
Training Epoch: 9 [22272/47500]	Loss: 0.4548	LR: 0.020000
Training Epoch: 9 [22528/47500]	Loss: 0.4703	LR: 0.020000
Training Epoch: 9 [22784/47500]	Loss: 0.3452	LR: 0.020000
Training Epoch: 9 [23040/47500]	Loss: 0.3569	LR: 0.020000
Training Epoch: 9 [23296/47500]	Loss: 0.3668	LR: 0.020000
Training Epoch: 9 [23552/47500]	Loss: 0.3960	LR: 0.020000
Training Epoch: 9 [23808/47500]	Loss: 0.4014	LR: 0.020000
Training Epoch: 9 [24064/47500]	Loss: 0.2989	LR: 0.020000
Training Epoch: 9 [24320/47500]	Loss: 0.4252	LR: 0.020000
Training Epoch: 9 [24576/47500]	Loss: 0.4503	LR: 0.020000
Training Epoch: 9 [24832/47500]	Loss: 0.4228	LR: 0.020000
Training Epoch: 9 [25088/47500]	Loss: 0.3176	LR: 0.020000
Training Epoch: 9 [25344/47500]	Loss: 0.4780	LR: 0.020000
Training Epoch: 9 [25600/47500]	Loss: 0.3532	LR: 0.020000
Training Epoch: 9 [25856/47500]	Loss: 0.4313	LR: 0.020000
Training Epoch: 9 [26112/47500]	Loss: 0.3742	LR: 0.020000
Training Epoch: 9 [26368/47500]	Loss: 0.4413	LR: 0.020000
Training Epoch: 9 [26624/47500]	Loss: 0.5053	LR: 0.020000
Training Epoch: 9 [26880/47500]	Loss: 0.3469	LR: 0.020000
Training Epoch: 9 [27136/47500]	Loss: 0.4038	LR: 0.020000
Training Epoch: 9 [27392/47500]	Loss: 0.4070	LR: 0.020000
Training Epoch: 9 [27648/47500]	Loss: 0.4812	LR: 0.020000
Training Epoch: 9 [27904/47500]	Loss: 0.4645	LR: 0.020000
Training Epoch: 9 [28160/47500]	Loss: 0.4372	LR: 0.020000
Training Epoch: 9 [28416/47500]	Loss: 0.3474	LR: 0.020000
Training Epoch: 9 [28672/47500]	Loss: 0.3768	LR: 0.020000
Training Epoch: 9 [28928/47500]	Loss: 0.3903	LR: 0.020000
Training Epoch: 9 [29184/47500]	Loss: 0.4497	LR: 0.020000
Training Epoch: 9 [29440/47500]	Loss: 0.4398	LR: 0.020000
Training Epoch: 9 [29696/47500]	Loss: 0.3665	LR: 0.020000
Training Epoch: 9 [29952/47500]	Loss: 0.4377	LR: 0.020000
Training Epoch: 9 [30208/47500]	Loss: 0.3304	LR: 0.020000
Training Epoch: 9 [30464/47500]	Loss: 0.5056	LR: 0.020000
Training Epoch: 9 [30720/47500]	Loss: 0.3688	LR: 0.020000
Training Epoch: 9 [30976/47500]	Loss: 0.5250	LR: 0.020000
Training Epoch: 9 [31232/47500]	Loss: 0.3755	LR: 0.020000
Training Epoch: 9 [31488/47500]	Loss: 0.4253	LR: 0.020000
Training Epoch: 9 [31744/47500]	Loss: 0.4250	LR: 0.020000
Training Epoch: 9 [32000/47500]	Loss: 0.3200	LR: 0.020000
Training Epoch: 9 [32256/47500]	Loss: 0.3818	LR: 0.020000
Training Epoch: 9 [32512/47500]	Loss: 0.4312	LR: 0.020000
Training Epoch: 9 [32768/47500]	Loss: 0.3616	LR: 0.020000
Training Epoch: 9 [33024/47500]	Loss: 0.4206	LR: 0.020000
Training Epoch: 9 [33280/47500]	Loss: 0.3949	LR: 0.020000
Training Epoch: 9 [33536/47500]	Loss: 0.2730	LR: 0.020000
Training Epoch: 9 [33792/47500]	Loss: 0.4007	LR: 0.020000
Training Epoch: 9 [34048/47500]	Loss: 0.3908	LR: 0.020000
Training Epoch: 9 [34304/47500]	Loss: 0.5124	LR: 0.020000
Training Epoch: 9 [34560/47500]	Loss: 0.4187	LR: 0.020000
Training Epoch: 9 [34816/47500]	Loss: 0.4455	LR: 0.020000
Training Epoch: 9 [35072/47500]	Loss: 0.3572	LR: 0.020000
Training Epoch: 9 [35328/47500]	Loss: 0.3409	LR: 0.020000
Training Epoch: 9 [35584/47500]	Loss: 0.4214	LR: 0.020000
Training Epoch: 9 [35840/47500]	Loss: 0.4264	LR: 0.020000
Training Epoch: 9 [36096/47500]	Loss: 0.3506	LR: 0.020000
Training Epoch: 9 [36352/47500]	Loss: 0.3676	LR: 0.020000
Training Epoch: 9 [36608/47500]	Loss: 0.3346	LR: 0.020000
Training Epoch: 9 [36864/47500]	Loss: 0.4130	LR: 0.020000
Training Epoch: 9 [37120/47500]	Loss: 0.3921	LR: 0.020000
Training Epoch: 9 [37376/47500]	Loss: 0.4858	LR: 0.020000
Training Epoch: 9 [37632/47500]	Loss: 0.2911	LR: 0.020000
Training Epoch: 9 [37888/47500]	Loss: 0.4081	LR: 0.020000
Training Epoch: 9 [38144/47500]	Loss: 0.3526	LR: 0.020000
Training Epoch: 9 [38400/47500]	Loss: 0.3807	LR: 0.020000
Training Epoch: 9 [38656/47500]	Loss: 0.3953	LR: 0.020000
Training Epoch: 9 [38912/47500]	Loss: 0.3329	LR: 0.020000
Training Epoch: 9 [39168/47500]	Loss: 0.4225	LR: 0.020000
Training Epoch: 9 [39424/47500]	Loss: 0.4030	LR: 0.020000
Training Epoch: 9 [39680/47500]	Loss: 0.3033	LR: 0.020000
Training Epoch: 9 [39936/47500]	Loss: 0.4832	LR: 0.020000
Training Epoch: 9 [40192/47500]	Loss: 0.5306	LR: 0.020000
Training Epoch: 9 [40448/47500]	Loss: 0.4354	LR: 0.020000
Training Epoch: 9 [40704/47500]	Loss: 0.3865	LR: 0.020000
Training Epoch: 9 [40960/47500]	Loss: 0.4035	LR: 0.020000
Training Epoch: 9 [41216/47500]	Loss: 0.3400	LR: 0.020000
Training Epoch: 9 [41472/47500]	Loss: 0.3722	LR: 0.020000
Training Epoch: 9 [41728/47500]	Loss: 0.4773	LR: 0.020000
Training Epoch: 9 [41984/47500]	Loss: 0.3607	LR: 0.020000
Training Epoch: 9 [42240/47500]	Loss: 0.4572	LR: 0.020000
Training Epoch: 9 [42496/47500]	Loss: 0.4068	LR: 0.020000
Training Epoch: 9 [42752/47500]	Loss: 0.5309	LR: 0.020000
Training Epoch: 9 [43008/47500]	Loss: 0.4370	LR: 0.020000
Training Epoch: 9 [43264/47500]	Loss: 0.3553	LR: 0.020000
Training Epoch: 9 [43520/47500]	Loss: 0.4126	LR: 0.020000
Training Epoch: 9 [43776/47500]	Loss: 0.4794	LR: 0.020000
Training Epoch: 9 [44032/47500]	Loss: 0.4192	LR: 0.020000
Training Epoch: 9 [44288/47500]	Loss: 0.4944	LR: 0.020000
Training Epoch: 9 [44544/47500]	Loss: 0.4284	LR: 0.020000
Training Epoch: 9 [44800/47500]	Loss: 0.3014	LR: 0.020000
Training Epoch: 9 [45056/47500]	Loss: 0.4139	LR: 0.020000
Training Epoch: 9 [45312/47500]	Loss: 0.4243	LR: 0.020000
Training Epoch: 9 [45568/47500]	Loss: 0.4423	LR: 0.020000
Training Epoch: 9 [45824/47500]	Loss: 0.3545	LR: 0.020000
Training Epoch: 9 [46080/47500]	Loss: 0.3257	LR: 0.020000
Training Epoch: 9 [46336/47500]	Loss: 0.3551	LR: 0.020000
Training Epoch: 9 [46592/47500]	Loss: 0.4400	LR: 0.020000
Training Epoch: 9 [46848/47500]	Loss: 0.3919	LR: 0.020000
Training Epoch: 9 [47104/47500]	Loss: 0.3217	LR: 0.020000
Training Epoch: 9 [47360/47500]	Loss: 0.3498	LR: 0.020000
Training Epoch: 9 [47500/47500]	Loss: 0.3950	LR: 0.020000
Epoch 9 - Average Train Loss: 0.4051, Train Accuracy: 0.8592
Epoch 9 training time consumed: 29.40s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0016, Accuracy: 0.8649, Time consumed:0.98s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_13h_04m_21s/ResNet18-Cifar10-seed4-ret50-9-best.pth
Training Epoch: 10 [256/47500]	Loss: 0.4049	LR: 0.020000
Training Epoch: 10 [512/47500]	Loss: 0.4117	LR: 0.020000
Training Epoch: 10 [768/47500]	Loss: 0.4665	LR: 0.020000
Training Epoch: 10 [1024/47500]	Loss: 0.3779	LR: 0.020000
Training Epoch: 10 [1280/47500]	Loss: 0.4069	LR: 0.020000
Training Epoch: 10 [1536/47500]	Loss: 0.4112	LR: 0.020000
Training Epoch: 10 [1792/47500]	Loss: 0.3878	LR: 0.020000
Training Epoch: 10 [2048/47500]	Loss: 0.4199	LR: 0.020000
Training Epoch: 10 [2304/47500]	Loss: 0.3964	LR: 0.020000
Training Epoch: 10 [2560/47500]	Loss: 0.3782	LR: 0.020000
Training Epoch: 10 [2816/47500]	Loss: 0.4009	LR: 0.020000
Training Epoch: 10 [3072/47500]	Loss: 0.4382	LR: 0.020000
Training Epoch: 10 [3328/47500]	Loss: 0.3859	LR: 0.020000
Training Epoch: 10 [3584/47500]	Loss: 0.4212	LR: 0.020000
Training Epoch: 10 [3840/47500]	Loss: 0.3755	LR: 0.020000
Training Epoch: 10 [4096/47500]	Loss: 0.3725	LR: 0.020000
Training Epoch: 10 [4352/47500]	Loss: 0.3238	LR: 0.020000
Training Epoch: 10 [4608/47500]	Loss: 0.4609	LR: 0.020000
Training Epoch: 10 [4864/47500]	Loss: 0.3842	LR: 0.020000
Training Epoch: 10 [5120/47500]	Loss: 0.2948	LR: 0.020000
Training Epoch: 10 [5376/47500]	Loss: 0.4305	LR: 0.020000
Training Epoch: 10 [5632/47500]	Loss: 0.3222	LR: 0.020000
Training Epoch: 10 [5888/47500]	Loss: 0.3787	LR: 0.020000
Training Epoch: 10 [6144/47500]	Loss: 0.3809	LR: 0.020000
Training Epoch: 10 [6400/47500]	Loss: 0.4097	LR: 0.020000
Training Epoch: 10 [6656/47500]	Loss: 0.3948	LR: 0.020000
Training Epoch: 10 [6912/47500]	Loss: 0.4056	LR: 0.020000
Training Epoch: 10 [7168/47500]	Loss: 0.4290	LR: 0.020000
Training Epoch: 10 [7424/47500]	Loss: 0.3234	LR: 0.020000
Training Epoch: 10 [7680/47500]	Loss: 0.4166	LR: 0.020000
Training Epoch: 10 [7936/47500]	Loss: 0.3030	LR: 0.020000
Training Epoch: 10 [8192/47500]	Loss: 0.3709	LR: 0.020000
Training Epoch: 10 [8448/47500]	Loss: 0.4883	LR: 0.020000
Training Epoch: 10 [8704/47500]	Loss: 0.3538	LR: 0.020000
Training Epoch: 10 [8960/47500]	Loss: 0.3420	LR: 0.020000
Training Epoch: 10 [9216/47500]	Loss: 0.4116	LR: 0.020000
Training Epoch: 10 [9472/47500]	Loss: 0.3254	LR: 0.020000
Training Epoch: 10 [9728/47500]	Loss: 0.4279	LR: 0.020000
Training Epoch: 10 [9984/47500]	Loss: 0.3880	LR: 0.020000
Training Epoch: 10 [10240/47500]	Loss: 0.3863	LR: 0.020000
Training Epoch: 10 [10496/47500]	Loss: 0.3976	LR: 0.020000
Training Epoch: 10 [10752/47500]	Loss: 0.4370	LR: 0.020000
Training Epoch: 10 [11008/47500]	Loss: 0.4033	LR: 0.020000
Training Epoch: 10 [11264/47500]	Loss: 0.3493	LR: 0.020000
Training Epoch: 10 [11520/47500]	Loss: 0.3836	LR: 0.020000
Training Epoch: 10 [11776/47500]	Loss: 0.3915	LR: 0.020000
Training Epoch: 10 [12032/47500]	Loss: 0.3919	LR: 0.020000
Training Epoch: 10 [12288/47500]	Loss: 0.4177	LR: 0.020000
Training Epoch: 10 [12544/47500]	Loss: 0.3884	LR: 0.020000
Training Epoch: 10 [12800/47500]	Loss: 0.4108	LR: 0.020000
Training Epoch: 10 [13056/47500]	Loss: 0.3687	LR: 0.020000
Training Epoch: 10 [13312/47500]	Loss: 0.4144	LR: 0.020000
Training Epoch: 10 [13568/47500]	Loss: 0.3962	LR: 0.020000
Training Epoch: 10 [13824/47500]	Loss: 0.3344	LR: 0.020000
Training Epoch: 10 [14080/47500]	Loss: 0.4198	LR: 0.020000
Training Epoch: 10 [14336/47500]	Loss: 0.4394	LR: 0.020000
Training Epoch: 10 [14592/47500]	Loss: 0.4580	LR: 0.020000
Training Epoch: 10 [14848/47500]	Loss: 0.4262	LR: 0.020000
Training Epoch: 10 [15104/47500]	Loss: 0.3959	LR: 0.020000
Training Epoch: 10 [15360/47500]	Loss: 0.3708	LR: 0.020000
Training Epoch: 10 [15616/47500]	Loss: 0.3651	LR: 0.020000
Training Epoch: 10 [15872/47500]	Loss: 0.3437	LR: 0.020000
Training Epoch: 10 [16128/47500]	Loss: 0.3554	LR: 0.020000
Training Epoch: 10 [16384/47500]	Loss: 0.3295	LR: 0.020000
Training Epoch: 10 [16640/47500]	Loss: 0.4555	LR: 0.020000
Training Epoch: 10 [16896/47500]	Loss: 0.3369	LR: 0.020000
Training Epoch: 10 [17152/47500]	Loss: 0.3802	LR: 0.020000
Training Epoch: 10 [17408/47500]	Loss: 0.3838	LR: 0.020000
Training Epoch: 10 [17664/47500]	Loss: 0.3750	LR: 0.020000
Training Epoch: 10 [17920/47500]	Loss: 0.4235	LR: 0.020000
Training Epoch: 10 [18176/47500]	Loss: 0.4539	LR: 0.020000
Training Epoch: 10 [18432/47500]	Loss: 0.2906	LR: 0.020000
Training Epoch: 10 [18688/47500]	Loss: 0.4369	LR: 0.020000
Training Epoch: 10 [18944/47500]	Loss: 0.3550	LR: 0.020000
Training Epoch: 10 [19200/47500]	Loss: 0.3393	LR: 0.020000
Training Epoch: 10 [19456/47500]	Loss: 0.3560	LR: 0.020000
Training Epoch: 10 [19712/47500]	Loss: 0.4118	LR: 0.020000
Training Epoch: 10 [19968/47500]	Loss: 0.4405	LR: 0.020000
Training Epoch: 10 [20224/47500]	Loss: 0.3855	LR: 0.020000
Training Epoch: 10 [20480/47500]	Loss: 0.3123	LR: 0.020000
Training Epoch: 10 [20736/47500]	Loss: 0.3471	LR: 0.020000
Training Epoch: 10 [20992/47500]	Loss: 0.3729	LR: 0.020000
Training Epoch: 10 [21248/47500]	Loss: 0.3258	LR: 0.020000
Training Epoch: 10 [21504/47500]	Loss: 0.3969	LR: 0.020000
Training Epoch: 10 [21760/47500]	Loss: 0.3217	LR: 0.020000
Training Epoch: 10 [22016/47500]	Loss: 0.3694	LR: 0.020000
Training Epoch: 10 [22272/47500]	Loss: 0.3740	LR: 0.020000
Training Epoch: 10 [22528/47500]	Loss: 0.3382	LR: 0.020000
Training Epoch: 10 [22784/47500]	Loss: 0.3652	LR: 0.020000
Training Epoch: 10 [23040/47500]	Loss: 0.2896	LR: 0.020000
Training Epoch: 10 [23296/47500]	Loss: 0.3865	LR: 0.020000
Training Epoch: 10 [23552/47500]	Loss: 0.4570	LR: 0.020000
Training Epoch: 10 [23808/47500]	Loss: 0.4109	LR: 0.020000
Training Epoch: 10 [24064/47500]	Loss: 0.2827	LR: 0.020000
Training Epoch: 10 [24320/47500]	Loss: 0.3986	LR: 0.020000
Training Epoch: 10 [24576/47500]	Loss: 0.2364	LR: 0.020000
Training Epoch: 10 [24832/47500]	Loss: 0.4073	LR: 0.020000
Training Epoch: 10 [25088/47500]	Loss: 0.3866	LR: 0.020000
Training Epoch: 10 [25344/47500]	Loss: 0.4234	LR: 0.020000
Training Epoch: 10 [25600/47500]	Loss: 0.4174	LR: 0.020000
Training Epoch: 10 [25856/47500]	Loss: 0.3552	LR: 0.020000
Training Epoch: 10 [26112/47500]	Loss: 0.3337	LR: 0.020000
Training Epoch: 10 [26368/47500]	Loss: 0.3195	LR: 0.020000
Training Epoch: 10 [26624/47500]	Loss: 0.4359	LR: 0.020000
Training Epoch: 10 [26880/47500]	Loss: 0.3837	LR: 0.020000
Training Epoch: 10 [27136/47500]	Loss: 0.3494	LR: 0.020000
Training Epoch: 10 [27392/47500]	Loss: 0.4477	LR: 0.020000
Training Epoch: 10 [27648/47500]	Loss: 0.5160	LR: 0.020000
Training Epoch: 10 [27904/47500]	Loss: 0.3474	LR: 0.020000
Training Epoch: 10 [28160/47500]	Loss: 0.3658	LR: 0.020000
Training Epoch: 10 [28416/47500]	Loss: 0.4642	LR: 0.020000
Training Epoch: 10 [28672/47500]	Loss: 0.2845	LR: 0.020000
Training Epoch: 10 [28928/47500]	Loss: 0.4669	LR: 0.020000
Training Epoch: 10 [29184/47500]	Loss: 0.4068	LR: 0.020000
Training Epoch: 10 [29440/47500]	Loss: 0.2927	LR: 0.020000
Training Epoch: 10 [29696/47500]	Loss: 0.3315	LR: 0.020000
Training Epoch: 10 [29952/47500]	Loss: 0.3893	LR: 0.020000
Training Epoch: 10 [30208/47500]	Loss: 0.3653	LR: 0.020000
Training Epoch: 10 [30464/47500]	Loss: 0.2912	LR: 0.020000
Training Epoch: 10 [30720/47500]	Loss: 0.3561	LR: 0.020000
Training Epoch: 10 [30976/47500]	Loss: 0.3622	LR: 0.020000
Training Epoch: 10 [31232/47500]	Loss: 0.3339	LR: 0.020000
Training Epoch: 10 [31488/47500]	Loss: 0.3976	LR: 0.020000
Training Epoch: 10 [31744/47500]	Loss: 0.4030	LR: 0.020000
Training Epoch: 10 [32000/47500]	Loss: 0.3951	LR: 0.020000
Training Epoch: 10 [32256/47500]	Loss: 0.3425	LR: 0.020000
Training Epoch: 10 [32512/47500]	Loss: 0.3512	LR: 0.020000
Training Epoch: 10 [32768/47500]	Loss: 0.4369	LR: 0.020000
Training Epoch: 10 [33024/47500]	Loss: 0.3744	LR: 0.020000
Training Epoch: 10 [33280/47500]	Loss: 0.3864	LR: 0.020000
Training Epoch: 10 [33536/47500]	Loss: 0.3730	LR: 0.020000
Training Epoch: 10 [33792/47500]	Loss: 0.3103	LR: 0.020000
Training Epoch: 10 [34048/47500]	Loss: 0.4260	LR: 0.020000
Training Epoch: 10 [34304/47500]	Loss: 0.4099	LR: 0.020000
Training Epoch: 10 [34560/47500]	Loss: 0.4601	LR: 0.020000
Training Epoch: 10 [34816/47500]	Loss: 0.3753	LR: 0.020000
Training Epoch: 10 [35072/47500]	Loss: 0.4051	LR: 0.020000
Training Epoch: 10 [35328/47500]	Loss: 0.4339	LR: 0.020000
Training Epoch: 10 [35584/47500]	Loss: 0.3954	LR: 0.020000
Training Epoch: 10 [35840/47500]	Loss: 0.2884	LR: 0.020000
Training Epoch: 10 [36096/47500]	Loss: 0.3429	LR: 0.020000
Training Epoch: 10 [36352/47500]	Loss: 0.4377	LR: 0.020000
Training Epoch: 10 [36608/47500]	Loss: 0.3715	LR: 0.020000
Training Epoch: 10 [36864/47500]	Loss: 0.4453	LR: 0.020000
Training Epoch: 10 [37120/47500]	Loss: 0.3526	LR: 0.020000
Training Epoch: 10 [37376/47500]	Loss: 0.3380	LR: 0.020000
Training Epoch: 10 [37632/47500]	Loss: 0.4446	LR: 0.020000
Training Epoch: 10 [37888/47500]	Loss: 0.2829	LR: 0.020000
Training Epoch: 10 [38144/47500]	Loss: 0.3480	LR: 0.020000
Training Epoch: 10 [38400/47500]	Loss: 0.3126	LR: 0.020000
Training Epoch: 10 [38656/47500]	Loss: 0.3857	LR: 0.020000
Training Epoch: 10 [38912/47500]	Loss: 0.4421	LR: 0.020000
Training Epoch: 10 [39168/47500]	Loss: 0.3146	LR: 0.020000
Training Epoch: 10 [39424/47500]	Loss: 0.3845	LR: 0.020000
Training Epoch: 10 [39680/47500]	Loss: 0.3486	LR: 0.020000
Training Epoch: 10 [39936/47500]	Loss: 0.3191	LR: 0.020000
Training Epoch: 10 [40192/47500]	Loss: 0.3420	LR: 0.020000
Training Epoch: 10 [40448/47500]	Loss: 0.3313	LR: 0.020000
Training Epoch: 10 [40704/47500]	Loss: 0.4196	LR: 0.020000
Training Epoch: 10 [40960/47500]	Loss: 0.4245	LR: 0.020000
Training Epoch: 10 [41216/47500]	Loss: 0.4526	LR: 0.020000
Training Epoch: 10 [41472/47500]	Loss: 0.3134	LR: 0.020000
Training Epoch: 10 [41728/47500]	Loss: 0.4386	LR: 0.020000
Training Epoch: 10 [41984/47500]	Loss: 0.2606	LR: 0.020000
Training Epoch: 10 [42240/47500]	Loss: 0.3639	LR: 0.020000
Training Epoch: 10 [42496/47500]	Loss: 0.3303	LR: 0.020000
Training Epoch: 10 [42752/47500]	Loss: 0.4453	LR: 0.020000
Training Epoch: 10 [43008/47500]	Loss: 0.3724	LR: 0.020000
Training Epoch: 10 [43264/47500]	Loss: 0.3480	LR: 0.020000
Training Epoch: 10 [43520/47500]	Loss: 0.3409	LR: 0.020000
Training Epoch: 10 [43776/47500]	Loss: 0.3871	LR: 0.020000
Training Epoch: 10 [44032/47500]	Loss: 0.3173	LR: 0.020000
Training Epoch: 10 [44288/47500]	Loss: 0.4646	LR: 0.020000
Training Epoch: 10 [44544/47500]	Loss: 0.4663	LR: 0.020000
Training Epoch: 10 [44800/47500]	Loss: 0.4117	LR: 0.020000
Training Epoch: 10 [45056/47500]	Loss: 0.3487	LR: 0.020000
Training Epoch: 10 [45312/47500]	Loss: 0.3117	LR: 0.020000
Training Epoch: 10 [45568/47500]	Loss: 0.3630	LR: 0.020000
Training Epoch: 10 [45824/47500]	Loss: 0.3936	LR: 0.020000
Training Epoch: 10 [46080/47500]	Loss: 0.3281	LR: 0.020000
Training Epoch: 10 [46336/47500]	Loss: 0.3761	LR: 0.020000
Training Epoch: 10 [46592/47500]	Loss: 0.2897	LR: 0.020000
Training Epoch: 10 [46848/47500]	Loss: 0.3704	LR: 0.020000
Training Epoch: 10 [47104/47500]	Loss: 0.4174	LR: 0.020000
Training Epoch: 10 [47360/47500]	Loss: 0.3509	LR: 0.020000
Training Epoch: 10 [47500/47500]	Loss: 0.4928	LR: 0.020000
Epoch 10 - Average Train Loss: 0.3801, Train Accuracy: 0.8667
Epoch 10 training time consumed: 29.26s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0016, Accuracy: 0.8613, Time consumed:1.04s
Training Epoch: 11 [256/47500]	Loss: 0.3371	LR: 0.020000
Training Epoch: 11 [512/47500]	Loss: 0.3340	LR: 0.020000
Training Epoch: 11 [768/47500]	Loss: 0.4217	LR: 0.020000
Training Epoch: 11 [1024/47500]	Loss: 0.3380	LR: 0.020000
Training Epoch: 11 [1280/47500]	Loss: 0.4065	LR: 0.020000
Training Epoch: 11 [1536/47500]	Loss: 0.3227	LR: 0.020000
Training Epoch: 11 [1792/47500]	Loss: 0.3444	LR: 0.020000
Training Epoch: 11 [2048/47500]	Loss: 0.3741	LR: 0.020000
Training Epoch: 11 [2304/47500]	Loss: 0.3317	LR: 0.020000
Training Epoch: 11 [2560/47500]	Loss: 0.3675	LR: 0.020000
Training Epoch: 11 [2816/47500]	Loss: 0.3677	LR: 0.020000
Training Epoch: 11 [3072/47500]	Loss: 0.3692	LR: 0.020000
Training Epoch: 11 [3328/47500]	Loss: 0.3748	LR: 0.020000
Training Epoch: 11 [3584/47500]	Loss: 0.3434	LR: 0.020000
Training Epoch: 11 [3840/47500]	Loss: 0.3644	LR: 0.020000
Training Epoch: 11 [4096/47500]	Loss: 0.3354	LR: 0.020000
Training Epoch: 11 [4352/47500]	Loss: 0.3599	LR: 0.020000
Training Epoch: 11 [4608/47500]	Loss: 0.3422	LR: 0.020000
Training Epoch: 11 [4864/47500]	Loss: 0.3138	LR: 0.020000
Training Epoch: 11 [5120/47500]	Loss: 0.2947	LR: 0.020000
Training Epoch: 11 [5376/47500]	Loss: 0.3011	LR: 0.020000
Training Epoch: 11 [5632/47500]	Loss: 0.3829	LR: 0.020000
Training Epoch: 11 [5888/47500]	Loss: 0.3341	LR: 0.020000
Training Epoch: 11 [6144/47500]	Loss: 0.4165	LR: 0.020000
Training Epoch: 11 [6400/47500]	Loss: 0.4428	LR: 0.020000
Training Epoch: 11 [6656/47500]	Loss: 0.4077	LR: 0.020000
Training Epoch: 11 [6912/47500]	Loss: 0.3173	LR: 0.020000
Training Epoch: 11 [7168/47500]	Loss: 0.3527	LR: 0.020000
Training Epoch: 11 [7424/47500]	Loss: 0.3607	LR: 0.020000
Training Epoch: 11 [7680/47500]	Loss: 0.3677	LR: 0.020000
Training Epoch: 11 [7936/47500]	Loss: 0.3205	LR: 0.020000
Training Epoch: 11 [8192/47500]	Loss: 0.3977	LR: 0.020000
Training Epoch: 11 [8448/47500]	Loss: 0.3137	LR: 0.020000
Training Epoch: 11 [8704/47500]	Loss: 0.3125	LR: 0.020000
Training Epoch: 11 [8960/47500]	Loss: 0.3400	LR: 0.020000
Training Epoch: 11 [9216/47500]	Loss: 0.3531	LR: 0.020000
Training Epoch: 11 [9472/47500]	Loss: 0.3561	LR: 0.020000
Training Epoch: 11 [9728/47500]	Loss: 0.3958	LR: 0.020000
Training Epoch: 11 [9984/47500]	Loss: 0.3449	LR: 0.020000
Training Epoch: 11 [10240/47500]	Loss: 0.4008	LR: 0.020000
Training Epoch: 11 [10496/47500]	Loss: 0.3005	LR: 0.020000
Training Epoch: 11 [10752/47500]	Loss: 0.4114	LR: 0.020000
Training Epoch: 11 [11008/47500]	Loss: 0.3065	LR: 0.020000
Training Epoch: 11 [11264/47500]	Loss: 0.3515	LR: 0.020000
Training Epoch: 11 [11520/47500]	Loss: 0.2743	LR: 0.020000
Training Epoch: 11 [11776/47500]	Loss: 0.4101	LR: 0.020000
Training Epoch: 11 [12032/47500]	Loss: 0.3024	LR: 0.020000
Training Epoch: 11 [12288/47500]	Loss: 0.3584	LR: 0.020000
Training Epoch: 11 [12544/47500]	Loss: 0.2825	LR: 0.020000
Training Epoch: 11 [12800/47500]	Loss: 0.3310	LR: 0.020000
Training Epoch: 11 [13056/47500]	Loss: 0.2605	LR: 0.020000
Training Epoch: 11 [13312/47500]	Loss: 0.3469	LR: 0.020000
Training Epoch: 11 [13568/47500]	Loss: 0.4175	LR: 0.020000
Training Epoch: 11 [13824/47500]	Loss: 0.3743	LR: 0.020000
Training Epoch: 11 [14080/47500]	Loss: 0.3402	LR: 0.020000
Training Epoch: 11 [14336/47500]	Loss: 0.3901	LR: 0.020000
Training Epoch: 11 [14592/47500]	Loss: 0.3080	LR: 0.020000
Training Epoch: 11 [14848/47500]	Loss: 0.3237	LR: 0.020000
Training Epoch: 11 [15104/47500]	Loss: 0.3667	LR: 0.020000
Training Epoch: 11 [15360/47500]	Loss: 0.3668	LR: 0.020000
Training Epoch: 11 [15616/47500]	Loss: 0.3560	LR: 0.020000
Training Epoch: 11 [15872/47500]	Loss: 0.2989	LR: 0.020000
Training Epoch: 11 [16128/47500]	Loss: 0.3712	LR: 0.020000
Training Epoch: 11 [16384/47500]	Loss: 0.2962	LR: 0.020000
Training Epoch: 11 [16640/47500]	Loss: 0.4488	LR: 0.020000
Training Epoch: 11 [16896/47500]	Loss: 0.3158	LR: 0.020000
Training Epoch: 11 [17152/47500]	Loss: 0.3700	LR: 0.020000
Training Epoch: 11 [17408/47500]	Loss: 0.2787	LR: 0.020000
Training Epoch: 11 [17664/47500]	Loss: 0.3819	LR: 0.020000
Training Epoch: 11 [17920/47500]	Loss: 0.3522	LR: 0.020000
Training Epoch: 11 [18176/47500]	Loss: 0.3839	LR: 0.020000
Training Epoch: 11 [18432/47500]	Loss: 0.3547	LR: 0.020000
Training Epoch: 11 [18688/47500]	Loss: 0.3906	LR: 0.020000
Training Epoch: 11 [18944/47500]	Loss: 0.3979	LR: 0.020000
Training Epoch: 11 [19200/47500]	Loss: 0.2680	LR: 0.020000
Training Epoch: 11 [19456/47500]	Loss: 0.4463	LR: 0.020000
Training Epoch: 11 [19712/47500]	Loss: 0.3837	LR: 0.020000
Training Epoch: 11 [19968/47500]	Loss: 0.3474	LR: 0.020000
Training Epoch: 11 [20224/47500]	Loss: 0.3576	LR: 0.020000
Training Epoch: 11 [20480/47500]	Loss: 0.2805	LR: 0.020000
Training Epoch: 11 [20736/47500]	Loss: 0.4334	LR: 0.020000
Training Epoch: 11 [20992/47500]	Loss: 0.4497	LR: 0.020000
Training Epoch: 11 [21248/47500]	Loss: 0.3420	LR: 0.020000
Training Epoch: 11 [21504/47500]	Loss: 0.3036	LR: 0.020000
Training Epoch: 11 [21760/47500]	Loss: 0.3059	LR: 0.020000
Training Epoch: 11 [22016/47500]	Loss: 0.3445	LR: 0.020000
Training Epoch: 11 [22272/47500]	Loss: 0.4030	LR: 0.020000
Training Epoch: 11 [22528/47500]	Loss: 0.3226	LR: 0.020000
Training Epoch: 11 [22784/47500]	Loss: 0.3538	LR: 0.020000
Training Epoch: 11 [23040/47500]	Loss: 0.3134	LR: 0.020000
Training Epoch: 11 [23296/47500]	Loss: 0.3358	LR: 0.020000
Training Epoch: 11 [23552/47500]	Loss: 0.3711	LR: 0.020000
Training Epoch: 11 [23808/47500]	Loss: 0.4242	LR: 0.020000
Training Epoch: 11 [24064/47500]	Loss: 0.3897	LR: 0.020000
Training Epoch: 11 [24320/47500]	Loss: 0.3829	LR: 0.020000
Training Epoch: 11 [24576/47500]	Loss: 0.3649	LR: 0.020000
Training Epoch: 11 [24832/47500]	Loss: 0.4421	LR: 0.020000
Training Epoch: 11 [25088/47500]	Loss: 0.3994	LR: 0.020000
Training Epoch: 11 [25344/47500]	Loss: 0.3486	LR: 0.020000
Training Epoch: 11 [25600/47500]	Loss: 0.3180	LR: 0.020000
Training Epoch: 11 [25856/47500]	Loss: 0.3846	LR: 0.020000
Training Epoch: 11 [26112/47500]	Loss: 0.3316	LR: 0.020000
Training Epoch: 11 [26368/47500]	Loss: 0.2865	LR: 0.020000
Training Epoch: 11 [26624/47500]	Loss: 0.3672	LR: 0.020000
Training Epoch: 11 [26880/47500]	Loss: 0.3638	LR: 0.020000
Training Epoch: 11 [27136/47500]	Loss: 0.5700	LR: 0.020000
Training Epoch: 11 [27392/47500]	Loss: 0.4003	LR: 0.020000
Training Epoch: 11 [27648/47500]	Loss: 0.3048	LR: 0.020000
Training Epoch: 11 [27904/47500]	Loss: 0.4269	LR: 0.020000
Training Epoch: 11 [28160/47500]	Loss: 0.3417	LR: 0.020000
Training Epoch: 11 [28416/47500]	Loss: 0.2726	LR: 0.020000
Training Epoch: 11 [28672/47500]	Loss: 0.3647	LR: 0.020000
Training Epoch: 11 [28928/47500]	Loss: 0.4094	LR: 0.020000
Training Epoch: 11 [29184/47500]	Loss: 0.4593	LR: 0.020000
Training Epoch: 11 [29440/47500]	Loss: 0.3101	LR: 0.020000
Training Epoch: 11 [29696/47500]	Loss: 0.3565	LR: 0.020000
Training Epoch: 11 [29952/47500]	Loss: 0.2734	LR: 0.020000
Training Epoch: 11 [30208/47500]	Loss: 0.3862	LR: 0.020000
Training Epoch: 11 [30464/47500]	Loss: 0.4362	LR: 0.020000
Training Epoch: 11 [30720/47500]	Loss: 0.4263	LR: 0.020000
Training Epoch: 11 [30976/47500]	Loss: 0.4001	LR: 0.020000
Training Epoch: 11 [31232/47500]	Loss: 0.3391	LR: 0.020000
Training Epoch: 11 [31488/47500]	Loss: 0.3406	LR: 0.020000
Training Epoch: 11 [31744/47500]	Loss: 0.3060	LR: 0.020000
Training Epoch: 11 [32000/47500]	Loss: 0.3516	LR: 0.020000
Training Epoch: 11 [32256/47500]	Loss: 0.3557	LR: 0.020000
Training Epoch: 11 [32512/47500]	Loss: 0.4475	LR: 0.020000
Training Epoch: 11 [32768/47500]	Loss: 0.3659	LR: 0.020000
Training Epoch: 11 [33024/47500]	Loss: 0.3893	LR: 0.020000
Training Epoch: 11 [33280/47500]	Loss: 0.3499	LR: 0.020000
Training Epoch: 11 [33536/47500]	Loss: 0.3035	LR: 0.020000
Training Epoch: 11 [33792/47500]	Loss: 0.3724	LR: 0.020000
Training Epoch: 11 [34048/47500]	Loss: 0.3962	LR: 0.020000
Training Epoch: 11 [34304/47500]	Loss: 0.3669	LR: 0.020000
Training Epoch: 11 [34560/47500]	Loss: 0.4517	LR: 0.020000
Training Epoch: 11 [34816/47500]	Loss: 0.4175	LR: 0.020000
Training Epoch: 11 [35072/47500]	Loss: 0.4145	LR: 0.020000
Training Epoch: 11 [35328/47500]	Loss: 0.4421	LR: 0.020000
Training Epoch: 11 [35584/47500]	Loss: 0.3569	LR: 0.020000
Training Epoch: 11 [35840/47500]	Loss: 0.3579	LR: 0.020000
Training Epoch: 11 [36096/47500]	Loss: 0.3215	LR: 0.020000
Training Epoch: 11 [36352/47500]	Loss: 0.3629	LR: 0.020000
Training Epoch: 11 [36608/47500]	Loss: 0.3780	LR: 0.020000
Training Epoch: 11 [36864/47500]	Loss: 0.3320	LR: 0.020000
Training Epoch: 11 [37120/47500]	Loss: 0.3133	LR: 0.020000
Training Epoch: 11 [37376/47500]	Loss: 0.3396	LR: 0.020000
Training Epoch: 11 [37632/47500]	Loss: 0.4361	LR: 0.020000
Training Epoch: 11 [37888/47500]	Loss: 0.3345	LR: 0.020000
Training Epoch: 11 [38144/47500]	Loss: 0.2900	LR: 0.020000
Training Epoch: 11 [38400/47500]	Loss: 0.3590	LR: 0.020000
Training Epoch: 11 [38656/47500]	Loss: 0.3351	LR: 0.020000
Training Epoch: 11 [38912/47500]	Loss: 0.4100	LR: 0.020000
Training Epoch: 11 [39168/47500]	Loss: 0.3022	LR: 0.020000
Training Epoch: 11 [39424/47500]	Loss: 0.2923	LR: 0.020000
Training Epoch: 11 [39680/47500]	Loss: 0.3891	LR: 0.020000
Training Epoch: 11 [39936/47500]	Loss: 0.3240	LR: 0.020000
Training Epoch: 11 [40192/47500]	Loss: 0.3775	LR: 0.020000
Training Epoch: 11 [40448/47500]	Loss: 0.3657	LR: 0.020000
Training Epoch: 11 [40704/47500]	Loss: 0.3560	LR: 0.020000
Training Epoch: 11 [40960/47500]	Loss: 0.3806	LR: 0.020000
Training Epoch: 11 [41216/47500]	Loss: 0.3782	LR: 0.020000
Training Epoch: 11 [41472/47500]	Loss: 0.3438	LR: 0.020000
Training Epoch: 11 [41728/47500]	Loss: 0.2320	LR: 0.020000
Training Epoch: 11 [41984/47500]	Loss: 0.3977	LR: 0.020000
Training Epoch: 11 [42240/47500]	Loss: 0.3021	LR: 0.020000
Training Epoch: 11 [42496/47500]	Loss: 0.3408	LR: 0.020000
Training Epoch: 11 [42752/47500]	Loss: 0.3519	LR: 0.020000
Training Epoch: 11 [43008/47500]	Loss: 0.4303	LR: 0.020000
Training Epoch: 11 [43264/47500]	Loss: 0.3198	LR: 0.020000
Training Epoch: 11 [43520/47500]	Loss: 0.4214	LR: 0.020000
Training Epoch: 11 [43776/47500]	Loss: 0.4096	LR: 0.020000
Training Epoch: 11 [44032/47500]	Loss: 0.3853	LR: 0.020000
Training Epoch: 11 [44288/47500]	Loss: 0.2658	LR: 0.020000
Training Epoch: 11 [44544/47500]	Loss: 0.2837	LR: 0.020000
Training Epoch: 11 [44800/47500]	Loss: 0.3132	LR: 0.020000
Training Epoch: 11 [45056/47500]	Loss: 0.3074	LR: 0.020000
Training Epoch: 11 [45312/47500]	Loss: 0.4155	LR: 0.020000
Training Epoch: 11 [45568/47500]	Loss: 0.4016	LR: 0.020000
Training Epoch: 11 [45824/47500]	Loss: 0.4017	LR: 0.020000
Training Epoch: 11 [46080/47500]	Loss: 0.3309	LR: 0.020000
Training Epoch: 11 [46336/47500]	Loss: 0.2769	LR: 0.020000
Training Epoch: 11 [46592/47500]	Loss: 0.3857	LR: 0.020000
Training Epoch: 11 [46848/47500]	Loss: 0.3419	LR: 0.020000
Training Epoch: 11 [47104/47500]	Loss: 0.3368	LR: 0.020000
Training Epoch: 11 [47360/47500]	Loss: 0.3188	LR: 0.020000
Training Epoch: 11 [47500/47500]	Loss: 0.3811	LR: 0.020000
Epoch 11 - Average Train Loss: 0.3579, Train Accuracy: 0.8763
Epoch 11 training time consumed: 29.18s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0015, Accuracy: 0.8727, Time consumed:1.00s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_13h_04m_21s/ResNet18-Cifar10-seed4-ret50-11-best.pth
Training Epoch: 12 [256/47500]	Loss: 0.4914	LR: 0.004000
Training Epoch: 12 [512/47500]	Loss: 0.3807	LR: 0.004000
Training Epoch: 12 [768/47500]	Loss: 0.3517	LR: 0.004000
Training Epoch: 12 [1024/47500]	Loss: 0.2981	LR: 0.004000
Training Epoch: 12 [1280/47500]	Loss: 0.4022	LR: 0.004000
Training Epoch: 12 [1536/47500]	Loss: 0.3024	LR: 0.004000
Training Epoch: 12 [1792/47500]	Loss: 0.2886	LR: 0.004000
Training Epoch: 12 [2048/47500]	Loss: 0.3864	LR: 0.004000
Training Epoch: 12 [2304/47500]	Loss: 0.3507	LR: 0.004000
Training Epoch: 12 [2560/47500]	Loss: 0.3022	LR: 0.004000
Training Epoch: 12 [2816/47500]	Loss: 0.2740	LR: 0.004000
Training Epoch: 12 [3072/47500]	Loss: 0.3012	LR: 0.004000
Training Epoch: 12 [3328/47500]	Loss: 0.3407	LR: 0.004000
Training Epoch: 12 [3584/47500]	Loss: 0.3452	LR: 0.004000
Training Epoch: 12 [3840/47500]	Loss: 0.3264	LR: 0.004000
Training Epoch: 12 [4096/47500]	Loss: 0.3297	LR: 0.004000
Training Epoch: 12 [4352/47500]	Loss: 0.3069	LR: 0.004000
Training Epoch: 12 [4608/47500]	Loss: 0.3938	LR: 0.004000
Training Epoch: 12 [4864/47500]	Loss: 0.2794	LR: 0.004000
Training Epoch: 12 [5120/47500]	Loss: 0.2684	LR: 0.004000
Training Epoch: 12 [5376/47500]	Loss: 0.2926	LR: 0.004000
Training Epoch: 12 [5632/47500]	Loss: 0.2920	LR: 0.004000
Training Epoch: 12 [5888/47500]	Loss: 0.3027	LR: 0.004000
Training Epoch: 12 [6144/47500]	Loss: 0.3340	LR: 0.004000
Training Epoch: 12 [6400/47500]	Loss: 0.4325	LR: 0.004000
Training Epoch: 12 [6656/47500]	Loss: 0.2914	LR: 0.004000
Training Epoch: 12 [6912/47500]	Loss: 0.3504	LR: 0.004000
Training Epoch: 12 [7168/47500]	Loss: 0.3163	LR: 0.004000
Training Epoch: 12 [7424/47500]	Loss: 0.3457	LR: 0.004000
Training Epoch: 12 [7680/47500]	Loss: 0.2722	LR: 0.004000
Training Epoch: 12 [7936/47500]	Loss: 0.2873	LR: 0.004000
Training Epoch: 12 [8192/47500]	Loss: 0.3680	LR: 0.004000
Training Epoch: 12 [8448/47500]	Loss: 0.2652	LR: 0.004000
Training Epoch: 12 [8704/47500]	Loss: 0.3669	LR: 0.004000
Training Epoch: 12 [8960/47500]	Loss: 0.2885	LR: 0.004000
Training Epoch: 12 [9216/47500]	Loss: 0.3766	LR: 0.004000
Training Epoch: 12 [9472/47500]	Loss: 0.3499	LR: 0.004000
Training Epoch: 12 [9728/47500]	Loss: 0.3501	LR: 0.004000
Training Epoch: 12 [9984/47500]	Loss: 0.3296	LR: 0.004000
Training Epoch: 12 [10240/47500]	Loss: 0.3160	LR: 0.004000
Training Epoch: 12 [10496/47500]	Loss: 0.2750	LR: 0.004000
Training Epoch: 12 [10752/47500]	Loss: 0.2709	LR: 0.004000
Training Epoch: 12 [11008/47500]	Loss: 0.3044	LR: 0.004000
Training Epoch: 12 [11264/47500]	Loss: 0.3872	LR: 0.004000
Training Epoch: 12 [11520/47500]	Loss: 0.2646	LR: 0.004000
Training Epoch: 12 [11776/47500]	Loss: 0.3699	LR: 0.004000
Training Epoch: 12 [12032/47500]	Loss: 0.3535	LR: 0.004000
Training Epoch: 12 [12288/47500]	Loss: 0.3378	LR: 0.004000
Training Epoch: 12 [12544/47500]	Loss: 0.3790	LR: 0.004000
Training Epoch: 12 [12800/47500]	Loss: 0.4084	LR: 0.004000
Training Epoch: 12 [13056/47500]	Loss: 0.3576	LR: 0.004000
Training Epoch: 12 [13312/47500]	Loss: 0.3347	LR: 0.004000
Training Epoch: 12 [13568/47500]	Loss: 0.2748	LR: 0.004000
Training Epoch: 12 [13824/47500]	Loss: 0.3283	LR: 0.004000
Training Epoch: 12 [14080/47500]	Loss: 0.2914	LR: 0.004000
Training Epoch: 12 [14336/47500]	Loss: 0.3292	LR: 0.004000
Training Epoch: 12 [14592/47500]	Loss: 0.2922	LR: 0.004000
Training Epoch: 12 [14848/47500]	Loss: 0.3354	LR: 0.004000
Training Epoch: 12 [15104/47500]	Loss: 0.4068	LR: 0.004000
Training Epoch: 12 [15360/47500]	Loss: 0.4216	LR: 0.004000
Training Epoch: 12 [15616/47500]	Loss: 0.3604	LR: 0.004000
Training Epoch: 12 [15872/47500]	Loss: 0.3085	LR: 0.004000
Training Epoch: 12 [16128/47500]	Loss: 0.3773	LR: 0.004000
Training Epoch: 12 [16384/47500]	Loss: 0.3018	LR: 0.004000
Training Epoch: 12 [16640/47500]	Loss: 0.3046	LR: 0.004000
Training Epoch: 12 [16896/47500]	Loss: 0.3511	LR: 0.004000
Training Epoch: 12 [17152/47500]	Loss: 0.4055	LR: 0.004000
Training Epoch: 12 [17408/47500]	Loss: 0.3918	LR: 0.004000
Training Epoch: 12 [17664/47500]	Loss: 0.2754	LR: 0.004000
Training Epoch: 12 [17920/47500]	Loss: 0.3114	LR: 0.004000
Training Epoch: 12 [18176/47500]	Loss: 0.3145	LR: 0.004000
Training Epoch: 12 [18432/47500]	Loss: 0.3461	LR: 0.004000
Training Epoch: 12 [18688/47500]	Loss: 0.2584	LR: 0.004000
Training Epoch: 12 [18944/47500]	Loss: 0.2901	LR: 0.004000
Training Epoch: 12 [19200/47500]	Loss: 0.2570	LR: 0.004000
Training Epoch: 12 [19456/47500]	Loss: 0.3224	LR: 0.004000
Training Epoch: 12 [19712/47500]	Loss: 0.3265	LR: 0.004000
Training Epoch: 12 [19968/47500]	Loss: 0.2647	LR: 0.004000
Training Epoch: 12 [20224/47500]	Loss: 0.2779	LR: 0.004000
Training Epoch: 12 [20480/47500]	Loss: 0.2217	LR: 0.004000
Training Epoch: 12 [20736/47500]	Loss: 0.2759	LR: 0.004000
Training Epoch: 12 [20992/47500]	Loss: 0.3027	LR: 0.004000
Training Epoch: 12 [21248/47500]	Loss: 0.2647	LR: 0.004000
Training Epoch: 12 [21504/47500]	Loss: 0.2790	LR: 0.004000
Training Epoch: 12 [21760/47500]	Loss: 0.3034	LR: 0.004000
Training Epoch: 12 [22016/47500]	Loss: 0.2524	LR: 0.004000
Training Epoch: 12 [22272/47500]	Loss: 0.2891	LR: 0.004000
Training Epoch: 12 [22528/47500]	Loss: 0.3431	LR: 0.004000
Training Epoch: 12 [22784/47500]	Loss: 0.3620	LR: 0.004000
Training Epoch: 12 [23040/47500]	Loss: 0.3097	LR: 0.004000
Training Epoch: 12 [23296/47500]	Loss: 0.3180	LR: 0.004000
Training Epoch: 12 [23552/47500]	Loss: 0.3828	LR: 0.004000
Training Epoch: 12 [23808/47500]	Loss: 0.2658	LR: 0.004000
Training Epoch: 12 [24064/47500]	Loss: 0.2896	LR: 0.004000
Training Epoch: 12 [24320/47500]	Loss: 0.3497	LR: 0.004000
Training Epoch: 12 [24576/47500]	Loss: 0.3205	LR: 0.004000
Training Epoch: 12 [24832/47500]	Loss: 0.3923	LR: 0.004000
Training Epoch: 12 [25088/47500]	Loss: 0.3110	LR: 0.004000
Training Epoch: 12 [25344/47500]	Loss: 0.3680	LR: 0.004000
Training Epoch: 12 [25600/47500]	Loss: 0.2978	LR: 0.004000
Training Epoch: 12 [25856/47500]	Loss: 0.3549	LR: 0.004000
Training Epoch: 12 [26112/47500]	Loss: 0.3418	LR: 0.004000
Training Epoch: 12 [26368/47500]	Loss: 0.3198	LR: 0.004000
Training Epoch: 12 [26624/47500]	Loss: 0.3563	LR: 0.004000
Training Epoch: 12 [26880/47500]	Loss: 0.2764	LR: 0.004000
Training Epoch: 12 [27136/47500]	Loss: 0.2671	LR: 0.004000
Training Epoch: 12 [27392/47500]	Loss: 0.2323	LR: 0.004000
Training Epoch: 12 [27648/47500]	Loss: 0.3397	LR: 0.004000
Training Epoch: 12 [27904/47500]	Loss: 0.2446	LR: 0.004000
Training Epoch: 12 [28160/47500]	Loss: 0.2650	LR: 0.004000
Training Epoch: 12 [28416/47500]	Loss: 0.3473	LR: 0.004000
Training Epoch: 12 [28672/47500]	Loss: 0.2570	LR: 0.004000
Training Epoch: 12 [28928/47500]	Loss: 0.3667	LR: 0.004000
Training Epoch: 12 [29184/47500]	Loss: 0.3518	LR: 0.004000
Training Epoch: 12 [29440/47500]	Loss: 0.3253	LR: 0.004000
Training Epoch: 12 [29696/47500]	Loss: 0.3290	LR: 0.004000
Training Epoch: 12 [29952/47500]	Loss: 0.2764	LR: 0.004000
Training Epoch: 12 [30208/47500]	Loss: 0.3666	LR: 0.004000
Training Epoch: 12 [30464/47500]	Loss: 0.3515	LR: 0.004000
Training Epoch: 12 [30720/47500]	Loss: 0.2505	LR: 0.004000
Training Epoch: 12 [30976/47500]	Loss: 0.4123	LR: 0.004000
Training Epoch: 12 [31232/47500]	Loss: 0.3198	LR: 0.004000
Training Epoch: 12 [31488/47500]	Loss: 0.2641	LR: 0.004000
Training Epoch: 12 [31744/47500]	Loss: 0.3024	LR: 0.004000
Training Epoch: 12 [32000/47500]	Loss: 0.2649	LR: 0.004000
Training Epoch: 12 [32256/47500]	Loss: 0.3995	LR: 0.004000
Training Epoch: 12 [32512/47500]	Loss: 0.3691	LR: 0.004000
Training Epoch: 12 [32768/47500]	Loss: 0.2757	LR: 0.004000
Training Epoch: 12 [33024/47500]	Loss: 0.3315	LR: 0.004000
Training Epoch: 12 [33280/47500]	Loss: 0.2344	LR: 0.004000
Training Epoch: 12 [33536/47500]	Loss: 0.3477	LR: 0.004000
Training Epoch: 12 [33792/47500]	Loss: 0.2954	LR: 0.004000
Training Epoch: 12 [34048/47500]	Loss: 0.2793	LR: 0.004000
Training Epoch: 12 [34304/47500]	Loss: 0.2714	LR: 0.004000
Training Epoch: 12 [34560/47500]	Loss: 0.2602	LR: 0.004000
Training Epoch: 12 [34816/47500]	Loss: 0.2917	LR: 0.004000
Training Epoch: 12 [35072/47500]	Loss: 0.2836	LR: 0.004000
Training Epoch: 12 [35328/47500]	Loss: 0.2585	LR: 0.004000
Training Epoch: 12 [35584/47500]	Loss: 0.3256	LR: 0.004000
Training Epoch: 12 [35840/47500]	Loss: 0.2789	LR: 0.004000
Training Epoch: 12 [36096/47500]	Loss: 0.2759	LR: 0.004000
Training Epoch: 12 [36352/47500]	Loss: 0.2300	LR: 0.004000
Training Epoch: 12 [36608/47500]	Loss: 0.3251	LR: 0.004000
Training Epoch: 12 [36864/47500]	Loss: 0.2922	LR: 0.004000
Training Epoch: 12 [37120/47500]	Loss: 0.2810	LR: 0.004000
Training Epoch: 12 [37376/47500]	Loss: 0.2895	LR: 0.004000
Training Epoch: 12 [37632/47500]	Loss: 0.2529	LR: 0.004000
Training Epoch: 12 [37888/47500]	Loss: 0.3320	LR: 0.004000
Training Epoch: 12 [38144/47500]	Loss: 0.3076	LR: 0.004000
Training Epoch: 12 [38400/47500]	Loss: 0.2597	LR: 0.004000
Training Epoch: 12 [38656/47500]	Loss: 0.2452	LR: 0.004000
Training Epoch: 12 [38912/47500]	Loss: 0.2735	LR: 0.004000
Training Epoch: 12 [39168/47500]	Loss: 0.3449	LR: 0.004000
Training Epoch: 12 [39424/47500]	Loss: 0.3598	LR: 0.004000
Training Epoch: 12 [39680/47500]	Loss: 0.2882	LR: 0.004000
Training Epoch: 12 [39936/47500]	Loss: 0.2798	LR: 0.004000
Training Epoch: 12 [40192/47500]	Loss: 0.3682	LR: 0.004000
Training Epoch: 12 [40448/47500]	Loss: 0.2757	LR: 0.004000
Training Epoch: 12 [40704/47500]	Loss: 0.3191	LR: 0.004000
Training Epoch: 12 [40960/47500]	Loss: 0.3143	LR: 0.004000
Training Epoch: 12 [41216/47500]	Loss: 0.3884	LR: 0.004000
Training Epoch: 12 [41472/47500]	Loss: 0.2647	LR: 0.004000
Training Epoch: 12 [41728/47500]	Loss: 0.2884	LR: 0.004000
Training Epoch: 12 [41984/47500]	Loss: 0.3162	LR: 0.004000
Training Epoch: 12 [42240/47500]	Loss: 0.3131	LR: 0.004000
Training Epoch: 12 [42496/47500]	Loss: 0.2795	LR: 0.004000
Training Epoch: 12 [42752/47500]	Loss: 0.3018	LR: 0.004000
Training Epoch: 12 [43008/47500]	Loss: 0.3558	LR: 0.004000
Training Epoch: 12 [43264/47500]	Loss: 0.2781	LR: 0.004000
Training Epoch: 12 [43520/47500]	Loss: 0.2303	LR: 0.004000
Training Epoch: 12 [43776/47500]	Loss: 0.3642	LR: 0.004000
Training Epoch: 12 [44032/47500]	Loss: 0.3068	LR: 0.004000
Training Epoch: 12 [44288/47500]	Loss: 0.4084	LR: 0.004000
Training Epoch: 12 [44544/47500]	Loss: 0.2393	LR: 0.004000
Training Epoch: 12 [44800/47500]	Loss: 0.3504	LR: 0.004000
Training Epoch: 12 [45056/47500]	Loss: 0.3415	LR: 0.004000
Training Epoch: 12 [45312/47500]	Loss: 0.3239	LR: 0.004000
Training Epoch: 12 [45568/47500]	Loss: 0.2997	LR: 0.004000
Training Epoch: 12 [45824/47500]	Loss: 0.3387	LR: 0.004000
Training Epoch: 12 [46080/47500]	Loss: 0.3503	LR: 0.004000
Training Epoch: 12 [46336/47500]	Loss: 0.3000	LR: 0.004000
Training Epoch: 12 [46592/47500]	Loss: 0.3753	LR: 0.004000
Training Epoch: 12 [46848/47500]	Loss: 0.2679	LR: 0.004000
Training Epoch: 12 [47104/47500]	Loss: 0.3998	LR: 0.004000
Training Epoch: 12 [47360/47500]	Loss: 0.3296	LR: 0.004000
Training Epoch: 12 [47500/47500]	Loss: 0.2441	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3172, Train Accuracy: 0.8891
Epoch 12 training time consumed: 29.38s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0014, Accuracy: 0.8853, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_13h_04m_21s/ResNet18-Cifar10-seed4-ret50-12-best.pth
Training Epoch: 13 [256/47500]	Loss: 0.3214	LR: 0.004000
Training Epoch: 13 [512/47500]	Loss: 0.2695	LR: 0.004000
Training Epoch: 13 [768/47500]	Loss: 0.3579	LR: 0.004000
Training Epoch: 13 [1024/47500]	Loss: 0.3495	LR: 0.004000
Training Epoch: 13 [1280/47500]	Loss: 0.3547	LR: 0.004000
Training Epoch: 13 [1536/47500]	Loss: 0.4125	LR: 0.004000
Training Epoch: 13 [1792/47500]	Loss: 0.3518	LR: 0.004000
Training Epoch: 13 [2048/47500]	Loss: 0.3071	LR: 0.004000
Training Epoch: 13 [2304/47500]	Loss: 0.3742	LR: 0.004000
Training Epoch: 13 [2560/47500]	Loss: 0.2444	LR: 0.004000
Training Epoch: 13 [2816/47500]	Loss: 0.2729	LR: 0.004000
Training Epoch: 13 [3072/47500]	Loss: 0.2920	LR: 0.004000
Training Epoch: 13 [3328/47500]	Loss: 0.3552	LR: 0.004000
Training Epoch: 13 [3584/47500]	Loss: 0.3312	LR: 0.004000
Training Epoch: 13 [3840/47500]	Loss: 0.3421	LR: 0.004000
Training Epoch: 13 [4096/47500]	Loss: 0.2922	LR: 0.004000
Training Epoch: 13 [4352/47500]	Loss: 0.3095	LR: 0.004000
Training Epoch: 13 [4608/47500]	Loss: 0.3016	LR: 0.004000
Training Epoch: 13 [4864/47500]	Loss: 0.3329	LR: 0.004000
Training Epoch: 13 [5120/47500]	Loss: 0.3918	LR: 0.004000
Training Epoch: 13 [5376/47500]	Loss: 0.2758	LR: 0.004000
Training Epoch: 13 [5632/47500]	Loss: 0.3080	LR: 0.004000
Training Epoch: 13 [5888/47500]	Loss: 0.3387	LR: 0.004000
Training Epoch: 13 [6144/47500]	Loss: 0.2685	LR: 0.004000
Training Epoch: 13 [6400/47500]	Loss: 0.2848	LR: 0.004000
Training Epoch: 13 [6656/47500]	Loss: 0.3109	LR: 0.004000
Training Epoch: 13 [6912/47500]	Loss: 0.1947	LR: 0.004000
Training Epoch: 13 [7168/47500]	Loss: 0.2770	LR: 0.004000
Training Epoch: 13 [7424/47500]	Loss: 0.2654	LR: 0.004000
Training Epoch: 13 [7680/47500]	Loss: 0.3790	LR: 0.004000
Training Epoch: 13 [7936/47500]	Loss: 0.2742	LR: 0.004000
Training Epoch: 13 [8192/47500]	Loss: 0.2698	LR: 0.004000
Training Epoch: 13 [8448/47500]	Loss: 0.3163	LR: 0.004000
Training Epoch: 13 [8704/47500]	Loss: 0.3024	LR: 0.004000
Training Epoch: 13 [8960/47500]	Loss: 0.2345	LR: 0.004000
Training Epoch: 13 [9216/47500]	Loss: 0.2816	LR: 0.004000
Training Epoch: 13 [9472/47500]	Loss: 0.3151	LR: 0.004000
Training Epoch: 13 [9728/47500]	Loss: 0.3045	LR: 0.004000
Training Epoch: 13 [9984/47500]	Loss: 0.3362	LR: 0.004000
Training Epoch: 13 [10240/47500]	Loss: 0.3409	LR: 0.004000
Training Epoch: 13 [10496/47500]	Loss: 0.2848	LR: 0.004000
Training Epoch: 13 [10752/47500]	Loss: 0.3959	LR: 0.004000
Training Epoch: 13 [11008/47500]	Loss: 0.2987	LR: 0.004000
Training Epoch: 13 [11264/47500]	Loss: 0.3459	LR: 0.004000
Training Epoch: 13 [11520/47500]	Loss: 0.3440	LR: 0.004000
Training Epoch: 13 [11776/47500]	Loss: 0.3388	LR: 0.004000
Training Epoch: 13 [12032/47500]	Loss: 0.3181	LR: 0.004000
Training Epoch: 13 [12288/47500]	Loss: 0.2243	LR: 0.004000
Training Epoch: 13 [12544/47500]	Loss: 0.2977	LR: 0.004000
Training Epoch: 13 [12800/47500]	Loss: 0.2213	LR: 0.004000
Training Epoch: 13 [13056/47500]	Loss: 0.3108	LR: 0.004000
Training Epoch: 13 [13312/47500]	Loss: 0.2351	LR: 0.004000
Training Epoch: 13 [13568/47500]	Loss: 0.2997	LR: 0.004000
Training Epoch: 13 [13824/47500]	Loss: 0.3136	LR: 0.004000
Training Epoch: 13 [14080/47500]	Loss: 0.2539	LR: 0.004000
Training Epoch: 13 [14336/47500]	Loss: 0.3027	LR: 0.004000
Training Epoch: 13 [14592/47500]	Loss: 0.2473	LR: 0.004000
Training Epoch: 13 [14848/47500]	Loss: 0.2888	LR: 0.004000
Training Epoch: 13 [15104/47500]	Loss: 0.2946	LR: 0.004000
Training Epoch: 13 [15360/47500]	Loss: 0.2733	LR: 0.004000
Training Epoch: 13 [15616/47500]	Loss: 0.3382	LR: 0.004000
Training Epoch: 13 [15872/47500]	Loss: 0.3360	LR: 0.004000
Training Epoch: 13 [16128/47500]	Loss: 0.2650	LR: 0.004000
Training Epoch: 13 [16384/47500]	Loss: 0.3228	LR: 0.004000
Training Epoch: 13 [16640/47500]	Loss: 0.3285	LR: 0.004000
Training Epoch: 13 [16896/47500]	Loss: 0.2933	LR: 0.004000
Training Epoch: 13 [17152/47500]	Loss: 0.3140	LR: 0.004000
Training Epoch: 13 [17408/47500]	Loss: 0.2971	LR: 0.004000
Training Epoch: 13 [17664/47500]	Loss: 0.4097	LR: 0.004000
Training Epoch: 13 [17920/47500]	Loss: 0.3113	LR: 0.004000
Training Epoch: 13 [18176/47500]	Loss: 0.2992	LR: 0.004000
Training Epoch: 13 [18432/47500]	Loss: 0.2604	LR: 0.004000
Training Epoch: 13 [18688/47500]	Loss: 0.2747	LR: 0.004000
Training Epoch: 13 [18944/47500]	Loss: 0.3072	LR: 0.004000
Training Epoch: 13 [19200/47500]	Loss: 0.3440	LR: 0.004000
Training Epoch: 13 [19456/47500]	Loss: 0.2752	LR: 0.004000
Training Epoch: 13 [19712/47500]	Loss: 0.3315	LR: 0.004000
Training Epoch: 13 [19968/47500]	Loss: 0.2799	LR: 0.004000
Training Epoch: 13 [20224/47500]	Loss: 0.2025	LR: 0.004000
Training Epoch: 13 [20480/47500]	Loss: 0.2467	LR: 0.004000
Training Epoch: 13 [20736/47500]	Loss: 0.3272	LR: 0.004000
Training Epoch: 13 [20992/47500]	Loss: 0.2662	LR: 0.004000
Training Epoch: 13 [21248/47500]	Loss: 0.3631	LR: 0.004000
Training Epoch: 13 [21504/47500]	Loss: 0.2807	LR: 0.004000
Training Epoch: 13 [21760/47500]	Loss: 0.2603	LR: 0.004000
Training Epoch: 13 [22016/47500]	Loss: 0.3388	LR: 0.004000
Training Epoch: 13 [22272/47500]	Loss: 0.2950	LR: 0.004000
Training Epoch: 13 [22528/47500]	Loss: 0.3948	LR: 0.004000
Training Epoch: 13 [22784/47500]	Loss: 0.3174	LR: 0.004000
Training Epoch: 13 [23040/47500]	Loss: 0.2101	LR: 0.004000
Training Epoch: 13 [23296/47500]	Loss: 0.2945	LR: 0.004000
Training Epoch: 13 [23552/47500]	Loss: 0.3503	LR: 0.004000
Training Epoch: 13 [23808/47500]	Loss: 0.2613	LR: 0.004000
Training Epoch: 13 [24064/47500]	Loss: 0.2994	LR: 0.004000
Training Epoch: 13 [24320/47500]	Loss: 0.3101	LR: 0.004000
Training Epoch: 13 [24576/47500]	Loss: 0.3379	LR: 0.004000
Training Epoch: 13 [24832/47500]	Loss: 0.3262	LR: 0.004000
Training Epoch: 13 [25088/47500]	Loss: 0.2736	LR: 0.004000
Training Epoch: 13 [25344/47500]	Loss: 0.3059	LR: 0.004000
Training Epoch: 13 [25600/47500]	Loss: 0.2842	LR: 0.004000
Training Epoch: 13 [25856/47500]	Loss: 0.2757	LR: 0.004000
Training Epoch: 13 [26112/47500]	Loss: 0.3619	LR: 0.004000
Training Epoch: 13 [26368/47500]	Loss: 0.2802	LR: 0.004000
Training Epoch: 13 [26624/47500]	Loss: 0.2429	LR: 0.004000
Training Epoch: 13 [26880/47500]	Loss: 0.3175	LR: 0.004000
Training Epoch: 13 [27136/47500]	Loss: 0.2408	LR: 0.004000
Training Epoch: 13 [27392/47500]	Loss: 0.3660	LR: 0.004000
Training Epoch: 13 [27648/47500]	Loss: 0.3232	LR: 0.004000
Training Epoch: 13 [27904/47500]	Loss: 0.2663	LR: 0.004000
Training Epoch: 13 [28160/47500]	Loss: 0.3071	LR: 0.004000
Training Epoch: 13 [28416/47500]	Loss: 0.2484	LR: 0.004000
Training Epoch: 13 [28672/47500]	Loss: 0.3214	LR: 0.004000
Training Epoch: 13 [28928/47500]	Loss: 0.2497	LR: 0.004000
Training Epoch: 13 [29184/47500]	Loss: 0.3791	LR: 0.004000
Training Epoch: 13 [29440/47500]	Loss: 0.2424	LR: 0.004000
Training Epoch: 13 [29696/47500]	Loss: 0.2620	LR: 0.004000
Training Epoch: 13 [29952/47500]	Loss: 0.3309	LR: 0.004000
Training Epoch: 13 [30208/47500]	Loss: 0.2567	LR: 0.004000
Training Epoch: 13 [30464/47500]	Loss: 0.3507	LR: 0.004000
Training Epoch: 13 [30720/47500]	Loss: 0.2530	LR: 0.004000
Training Epoch: 13 [30976/47500]	Loss: 0.3057	LR: 0.004000
Training Epoch: 13 [31232/47500]	Loss: 0.3116	LR: 0.004000
Training Epoch: 13 [31488/47500]	Loss: 0.3362	LR: 0.004000
Training Epoch: 13 [31744/47500]	Loss: 0.3554	LR: 0.004000
Training Epoch: 13 [32000/47500]	Loss: 0.3542	LR: 0.004000
Training Epoch: 13 [32256/47500]	Loss: 0.3061	LR: 0.004000
Training Epoch: 13 [32512/47500]	Loss: 0.2436	LR: 0.004000
Training Epoch: 13 [32768/47500]	Loss: 0.2907	LR: 0.004000
Training Epoch: 13 [33024/47500]	Loss: 0.3222	LR: 0.004000
Training Epoch: 13 [33280/47500]	Loss: 0.2798	LR: 0.004000
Training Epoch: 13 [33536/47500]	Loss: 0.2003	LR: 0.004000
Training Epoch: 13 [33792/47500]	Loss: 0.3161	LR: 0.004000
Training Epoch: 13 [34048/47500]	Loss: 0.3202	LR: 0.004000
Training Epoch: 13 [34304/47500]	Loss: 0.3062	LR: 0.004000
Training Epoch: 13 [34560/47500]	Loss: 0.2648	LR: 0.004000
Training Epoch: 13 [34816/47500]	Loss: 0.2756	LR: 0.004000
Training Epoch: 13 [35072/47500]	Loss: 0.2940	LR: 0.004000
Training Epoch: 13 [35328/47500]	Loss: 0.3328	LR: 0.004000
Training Epoch: 13 [35584/47500]	Loss: 0.3926	LR: 0.004000
Training Epoch: 13 [35840/47500]	Loss: 0.3190	LR: 0.004000
Training Epoch: 13 [36096/47500]	Loss: 0.2635	LR: 0.004000
Training Epoch: 13 [36352/47500]	Loss: 0.4116	LR: 0.004000
Training Epoch: 13 [36608/47500]	Loss: 0.3085	LR: 0.004000
Training Epoch: 13 [36864/47500]	Loss: 0.2972	LR: 0.004000
Training Epoch: 13 [37120/47500]	Loss: 0.3755	LR: 0.004000
Training Epoch: 13 [37376/47500]	Loss: 0.2768	LR: 0.004000
Training Epoch: 13 [37632/47500]	Loss: 0.2543	LR: 0.004000
Training Epoch: 13 [37888/47500]	Loss: 0.3303	LR: 0.004000
Training Epoch: 13 [38144/47500]	Loss: 0.2556	LR: 0.004000
Training Epoch: 13 [38400/47500]	Loss: 0.2893	LR: 0.004000
Training Epoch: 13 [38656/47500]	Loss: 0.2852	LR: 0.004000
Training Epoch: 13 [38912/47500]	Loss: 0.2455	LR: 0.004000
Training Epoch: 13 [39168/47500]	Loss: 0.3089	LR: 0.004000
Training Epoch: 13 [39424/47500]	Loss: 0.3358	LR: 0.004000
Training Epoch: 13 [39680/47500]	Loss: 0.3024	LR: 0.004000
Training Epoch: 13 [39936/47500]	Loss: 0.2652	LR: 0.004000
Training Epoch: 13 [40192/47500]	Loss: 0.3200	LR: 0.004000
Training Epoch: 13 [40448/47500]	Loss: 0.2765	LR: 0.004000
Training Epoch: 13 [40704/47500]	Loss: 0.3376	LR: 0.004000
Training Epoch: 13 [40960/47500]	Loss: 0.2561	LR: 0.004000
Training Epoch: 13 [41216/47500]	Loss: 0.2742	LR: 0.004000
Training Epoch: 13 [41472/47500]	Loss: 0.3422	LR: 0.004000
Training Epoch: 13 [41728/47500]	Loss: 0.3779	LR: 0.004000
Training Epoch: 13 [41984/47500]	Loss: 0.2450	LR: 0.004000
Training Epoch: 13 [42240/47500]	Loss: 0.3453	LR: 0.004000
Training Epoch: 13 [42496/47500]	Loss: 0.3257	LR: 0.004000
Training Epoch: 13 [42752/47500]	Loss: 0.3130	LR: 0.004000
Training Epoch: 13 [43008/47500]	Loss: 0.3281	LR: 0.004000
Training Epoch: 13 [43264/47500]	Loss: 0.3310	LR: 0.004000
Training Epoch: 13 [43520/47500]	Loss: 0.2795	LR: 0.004000
Training Epoch: 13 [43776/47500]	Loss: 0.3217	LR: 0.004000
Training Epoch: 13 [44032/47500]	Loss: 0.3080	LR: 0.004000
Training Epoch: 13 [44288/47500]	Loss: 0.3087	LR: 0.004000
Training Epoch: 13 [44544/47500]	Loss: 0.2676	LR: 0.004000
Training Epoch: 13 [44800/47500]	Loss: 0.4432	LR: 0.004000
Training Epoch: 13 [45056/47500]	Loss: 0.2258	LR: 0.004000
Training Epoch: 13 [45312/47500]	Loss: 0.3768	LR: 0.004000
Training Epoch: 13 [45568/47500]	Loss: 0.3354	LR: 0.004000
Training Epoch: 13 [45824/47500]	Loss: 0.3180	LR: 0.004000
Training Epoch: 13 [46080/47500]	Loss: 0.4303	LR: 0.004000
Training Epoch: 13 [46336/47500]	Loss: 0.2982	LR: 0.004000
Training Epoch: 13 [46592/47500]	Loss: 0.3238	LR: 0.004000
Training Epoch: 13 [46848/47500]	Loss: 0.2524	LR: 0.004000
Training Epoch: 13 [47104/47500]	Loss: 0.2483	LR: 0.004000
Training Epoch: 13 [47360/47500]	Loss: 0.3252	LR: 0.004000
Training Epoch: 13 [47500/47500]	Loss: 0.3255	LR: 0.004000
Epoch 13 - Average Train Loss: 0.3050, Train Accuracy: 0.8935
Epoch 13 training time consumed: 29.27s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0014, Accuracy: 0.8869, Time consumed:0.98s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_13h_04m_21s/ResNet18-Cifar10-seed4-ret50-13-best.pth
Training Epoch: 14 [256/47500]	Loss: 0.3417	LR: 0.004000
Training Epoch: 14 [512/47500]	Loss: 0.3272	LR: 0.004000
Training Epoch: 14 [768/47500]	Loss: 0.3542	LR: 0.004000
Training Epoch: 14 [1024/47500]	Loss: 0.2417	LR: 0.004000
Training Epoch: 14 [1280/47500]	Loss: 0.2903	LR: 0.004000
Training Epoch: 14 [1536/47500]	Loss: 0.2926	LR: 0.004000
Training Epoch: 14 [1792/47500]	Loss: 0.2500	LR: 0.004000
Training Epoch: 14 [2048/47500]	Loss: 0.3549	LR: 0.004000
Training Epoch: 14 [2304/47500]	Loss: 0.3027	LR: 0.004000
Training Epoch: 14 [2560/47500]	Loss: 0.3054	LR: 0.004000
Training Epoch: 14 [2816/47500]	Loss: 0.3430	LR: 0.004000
Training Epoch: 14 [3072/47500]	Loss: 0.2872	LR: 0.004000
Training Epoch: 14 [3328/47500]	Loss: 0.2624	LR: 0.004000
Training Epoch: 14 [3584/47500]	Loss: 0.2531	LR: 0.004000
Training Epoch: 14 [3840/47500]	Loss: 0.2856	LR: 0.004000
Training Epoch: 14 [4096/47500]	Loss: 0.2678	LR: 0.004000
Training Epoch: 14 [4352/47500]	Loss: 0.3629	LR: 0.004000
Training Epoch: 14 [4608/47500]	Loss: 0.3355	LR: 0.004000
Training Epoch: 14 [4864/47500]	Loss: 0.2590	LR: 0.004000
Training Epoch: 14 [5120/47500]	Loss: 0.2935	LR: 0.004000
Training Epoch: 14 [5376/47500]	Loss: 0.2767	LR: 0.004000
Training Epoch: 14 [5632/47500]	Loss: 0.3373	LR: 0.004000
Training Epoch: 14 [5888/47500]	Loss: 0.2524	LR: 0.004000
Training Epoch: 14 [6144/47500]	Loss: 0.2850	LR: 0.004000
Training Epoch: 14 [6400/47500]	Loss: 0.2465	LR: 0.004000
Training Epoch: 14 [6656/47500]	Loss: 0.3384	LR: 0.004000
Training Epoch: 14 [6912/47500]	Loss: 0.2415	LR: 0.004000
Training Epoch: 14 [7168/47500]	Loss: 0.3045	LR: 0.004000
Training Epoch: 14 [7424/47500]	Loss: 0.2719	LR: 0.004000
Training Epoch: 14 [7680/47500]	Loss: 0.1745	LR: 0.004000
Training Epoch: 14 [7936/47500]	Loss: 0.2607	LR: 0.004000
Training Epoch: 14 [8192/47500]	Loss: 0.3758	LR: 0.004000
Training Epoch: 14 [8448/47500]	Loss: 0.3032	LR: 0.004000
Training Epoch: 14 [8704/47500]	Loss: 0.3359	LR: 0.004000
Training Epoch: 14 [8960/47500]	Loss: 0.3285	LR: 0.004000
Training Epoch: 14 [9216/47500]	Loss: 0.3051	LR: 0.004000
Training Epoch: 14 [9472/47500]	Loss: 0.3035	LR: 0.004000
Training Epoch: 14 [9728/47500]	Loss: 0.3943	LR: 0.004000
Training Epoch: 14 [9984/47500]	Loss: 0.2752	LR: 0.004000
Training Epoch: 14 [10240/47500]	Loss: 0.3397	LR: 0.004000
Training Epoch: 14 [10496/47500]	Loss: 0.3797	LR: 0.004000
Training Epoch: 14 [10752/47500]	Loss: 0.2719	LR: 0.004000
Training Epoch: 14 [11008/47500]	Loss: 0.2575	LR: 0.004000
Training Epoch: 14 [11264/47500]	Loss: 0.2425	LR: 0.004000
Training Epoch: 14 [11520/47500]	Loss: 0.2607	LR: 0.004000
Training Epoch: 14 [11776/47500]	Loss: 0.2566	LR: 0.004000
Training Epoch: 14 [12032/47500]	Loss: 0.2364	LR: 0.004000
Training Epoch: 14 [12288/47500]	Loss: 0.3612	LR: 0.004000
Training Epoch: 14 [12544/47500]	Loss: 0.3290	LR: 0.004000
Training Epoch: 14 [12800/47500]	Loss: 0.2740	LR: 0.004000
Training Epoch: 14 [13056/47500]	Loss: 0.3079	LR: 0.004000
Training Epoch: 14 [13312/47500]	Loss: 0.3114	LR: 0.004000
Training Epoch: 14 [13568/47500]	Loss: 0.2798	LR: 0.004000
Training Epoch: 14 [13824/47500]	Loss: 0.2804	LR: 0.004000
Training Epoch: 14 [14080/47500]	Loss: 0.2480	LR: 0.004000
Training Epoch: 14 [14336/47500]	Loss: 0.3443	LR: 0.004000
Training Epoch: 14 [14592/47500]	Loss: 0.3231	LR: 0.004000
Training Epoch: 14 [14848/47500]	Loss: 0.3564	LR: 0.004000
Training Epoch: 14 [15104/47500]	Loss: 0.3485	LR: 0.004000
Training Epoch: 14 [15360/47500]	Loss: 0.3306	LR: 0.004000
Training Epoch: 14 [15616/47500]	Loss: 0.3250	LR: 0.004000
Training Epoch: 14 [15872/47500]	Loss: 0.2236	LR: 0.004000
Training Epoch: 14 [16128/47500]	Loss: 0.3581	LR: 0.004000
Training Epoch: 14 [16384/47500]	Loss: 0.3118	LR: 0.004000
Training Epoch: 14 [16640/47500]	Loss: 0.2377	LR: 0.004000
Training Epoch: 14 [16896/47500]	Loss: 0.2493	LR: 0.004000
Training Epoch: 14 [17152/47500]	Loss: 0.3240	LR: 0.004000
Training Epoch: 14 [17408/47500]	Loss: 0.2440	LR: 0.004000
Training Epoch: 14 [17664/47500]	Loss: 0.2735	LR: 0.004000
Training Epoch: 14 [17920/47500]	Loss: 0.2747	LR: 0.004000
Training Epoch: 14 [18176/47500]	Loss: 0.2826	LR: 0.004000
Training Epoch: 14 [18432/47500]	Loss: 0.3594	LR: 0.004000
Training Epoch: 14 [18688/47500]	Loss: 0.2517	LR: 0.004000
Training Epoch: 14 [18944/47500]	Loss: 0.3256	LR: 0.004000
Training Epoch: 14 [19200/47500]	Loss: 0.3158	LR: 0.004000
Training Epoch: 14 [19456/47500]	Loss: 0.3407	LR: 0.004000
Training Epoch: 14 [19712/47500]	Loss: 0.2595	LR: 0.004000
Training Epoch: 14 [19968/47500]	Loss: 0.3635	LR: 0.004000
Training Epoch: 14 [20224/47500]	Loss: 0.2298	LR: 0.004000
Training Epoch: 14 [20480/47500]	Loss: 0.3185	LR: 0.004000
Training Epoch: 14 [20736/47500]	Loss: 0.3120	LR: 0.004000
Training Epoch: 14 [20992/47500]	Loss: 0.3266	LR: 0.004000
Training Epoch: 14 [21248/47500]	Loss: 0.3929	LR: 0.004000
Training Epoch: 14 [21504/47500]	Loss: 0.3443	LR: 0.004000
Training Epoch: 14 [21760/47500]	Loss: 0.3153	LR: 0.004000
Training Epoch: 14 [22016/47500]	Loss: 0.3276	LR: 0.004000
Training Epoch: 14 [22272/47500]	Loss: 0.2723	LR: 0.004000
Training Epoch: 14 [22528/47500]	Loss: 0.2968	LR: 0.004000
Training Epoch: 14 [22784/47500]	Loss: 0.2472	LR: 0.004000
Training Epoch: 14 [23040/47500]	Loss: 0.2856	LR: 0.004000
Training Epoch: 14 [23296/47500]	Loss: 0.2222	LR: 0.004000
Training Epoch: 14 [23552/47500]	Loss: 0.3010	LR: 0.004000
Training Epoch: 14 [23808/47500]	Loss: 0.2817	LR: 0.004000
Training Epoch: 14 [24064/47500]	Loss: 0.3495	LR: 0.004000
Training Epoch: 14 [24320/47500]	Loss: 0.2293	LR: 0.004000
Training Epoch: 14 [24576/47500]	Loss: 0.3308	LR: 0.004000
Training Epoch: 14 [24832/47500]	Loss: 0.2841	LR: 0.004000
Training Epoch: 14 [25088/47500]	Loss: 0.2447	LR: 0.004000
Training Epoch: 14 [25344/47500]	Loss: 0.2736	LR: 0.004000
Training Epoch: 14 [25600/47500]	Loss: 0.2280	LR: 0.004000
Training Epoch: 14 [25856/47500]	Loss: 0.4181	LR: 0.004000
Training Epoch: 14 [26112/47500]	Loss: 0.3134	LR: 0.004000
Training Epoch: 14 [26368/47500]	Loss: 0.3100	LR: 0.004000
Training Epoch: 14 [26624/47500]	Loss: 0.2951	LR: 0.004000
Training Epoch: 14 [26880/47500]	Loss: 0.2278	LR: 0.004000
Training Epoch: 14 [27136/47500]	Loss: 0.3291	LR: 0.004000
Training Epoch: 14 [27392/47500]	Loss: 0.2523	LR: 0.004000
Training Epoch: 14 [27648/47500]	Loss: 0.2829	LR: 0.004000
Training Epoch: 14 [27904/47500]	Loss: 0.3252	LR: 0.004000
Training Epoch: 14 [28160/47500]	Loss: 0.2651	LR: 0.004000
Training Epoch: 14 [28416/47500]	Loss: 0.2390	LR: 0.004000
Training Epoch: 14 [28672/47500]	Loss: 0.2606	LR: 0.004000
Training Epoch: 14 [28928/47500]	Loss: 0.2808	LR: 0.004000
Training Epoch: 14 [29184/47500]	Loss: 0.2880	LR: 0.004000
Training Epoch: 14 [29440/47500]	Loss: 0.3101	LR: 0.004000
Training Epoch: 14 [29696/47500]	Loss: 0.2676	LR: 0.004000
Training Epoch: 14 [29952/47500]	Loss: 0.3074	LR: 0.004000
Training Epoch: 14 [30208/47500]	Loss: 0.2670	LR: 0.004000
Training Epoch: 14 [30464/47500]	Loss: 0.2828	LR: 0.004000
Training Epoch: 14 [30720/47500]	Loss: 0.2830	LR: 0.004000
Training Epoch: 14 [30976/47500]	Loss: 0.3356	LR: 0.004000
Training Epoch: 14 [31232/47500]	Loss: 0.2803	LR: 0.004000
Training Epoch: 14 [31488/47500]	Loss: 0.3328	LR: 0.004000
Training Epoch: 14 [31744/47500]	Loss: 0.3203	LR: 0.004000
Training Epoch: 14 [32000/47500]	Loss: 0.2737	LR: 0.004000
Training Epoch: 14 [32256/47500]	Loss: 0.2439	LR: 0.004000
Training Epoch: 14 [32512/47500]	Loss: 0.3906	LR: 0.004000
Training Epoch: 14 [32768/47500]	Loss: 0.2799	LR: 0.004000
Training Epoch: 14 [33024/47500]	Loss: 0.2467	LR: 0.004000
Training Epoch: 14 [33280/47500]	Loss: 0.2252	LR: 0.004000
Training Epoch: 14 [33536/47500]	Loss: 0.2609	LR: 0.004000
Training Epoch: 14 [33792/47500]	Loss: 0.2265	LR: 0.004000
Training Epoch: 14 [34048/47500]	Loss: 0.3198	LR: 0.004000
Training Epoch: 14 [34304/47500]	Loss: 0.3052	LR: 0.004000
Training Epoch: 14 [34560/47500]	Loss: 0.3033	LR: 0.004000
Training Epoch: 14 [34816/47500]	Loss: 0.3194	LR: 0.004000
Training Epoch: 14 [35072/47500]	Loss: 0.3051	LR: 0.004000
Training Epoch: 14 [35328/47500]	Loss: 0.2822	LR: 0.004000
Training Epoch: 14 [35584/47500]	Loss: 0.3282	LR: 0.004000
Training Epoch: 14 [35840/47500]	Loss: 0.3248	LR: 0.004000
Training Epoch: 14 [36096/47500]	Loss: 0.2630	LR: 0.004000
Training Epoch: 14 [36352/47500]	Loss: 0.3376	LR: 0.004000
Training Epoch: 14 [36608/47500]	Loss: 0.3133	LR: 0.004000
Training Epoch: 14 [36864/47500]	Loss: 0.2679	LR: 0.004000
Training Epoch: 14 [37120/47500]	Loss: 0.2900	LR: 0.004000
Training Epoch: 14 [37376/47500]	Loss: 0.3344	LR: 0.004000
Training Epoch: 14 [37632/47500]	Loss: 0.2891	LR: 0.004000
Training Epoch: 14 [37888/47500]	Loss: 0.3005	LR: 0.004000
Training Epoch: 14 [38144/47500]	Loss: 0.3323	LR: 0.004000
Training Epoch: 14 [38400/47500]	Loss: 0.3347	LR: 0.004000
Training Epoch: 14 [38656/47500]	Loss: 0.3408	LR: 0.004000
Training Epoch: 14 [38912/47500]	Loss: 0.2623	LR: 0.004000
Training Epoch: 14 [39168/47500]	Loss: 0.3758	LR: 0.004000
Training Epoch: 14 [39424/47500]	Loss: 0.2830	LR: 0.004000
Training Epoch: 14 [39680/47500]	Loss: 0.3407	LR: 0.004000
Training Epoch: 14 [39936/47500]	Loss: 0.2934	LR: 0.004000
Training Epoch: 14 [40192/47500]	Loss: 0.2536	LR: 0.004000
Training Epoch: 14 [40448/47500]	Loss: 0.2404	LR: 0.004000
Training Epoch: 14 [40704/47500]	Loss: 0.3278	LR: 0.004000
Training Epoch: 14 [40960/47500]	Loss: 0.3522	LR: 0.004000
Training Epoch: 14 [41216/47500]	Loss: 0.3067	LR: 0.004000
Training Epoch: 14 [41472/47500]	Loss: 0.3185	LR: 0.004000
Training Epoch: 14 [41728/47500]	Loss: 0.2562	LR: 0.004000
Training Epoch: 14 [41984/47500]	Loss: 0.2542	LR: 0.004000
Training Epoch: 14 [42240/47500]	Loss: 0.2553	LR: 0.004000
Training Epoch: 14 [42496/47500]	Loss: 0.3875	LR: 0.004000
Training Epoch: 14 [42752/47500]	Loss: 0.2732	LR: 0.004000
Training Epoch: 14 [43008/47500]	Loss: 0.3406	LR: 0.004000
Training Epoch: 14 [43264/47500]	Loss: 0.3480	LR: 0.004000
Training Epoch: 14 [43520/47500]	Loss: 0.3485	LR: 0.004000
Training Epoch: 14 [43776/47500]	Loss: 0.2767	LR: 0.004000
Training Epoch: 14 [44032/47500]	Loss: 0.2512	LR: 0.004000
Training Epoch: 14 [44288/47500]	Loss: 0.3164	LR: 0.004000
Training Epoch: 14 [44544/47500]	Loss: 0.2488	LR: 0.004000
Training Epoch: 14 [44800/47500]	Loss: 0.2652	LR: 0.004000
Training Epoch: 14 [45056/47500]	Loss: 0.2255	LR: 0.004000
Training Epoch: 14 [45312/47500]	Loss: 0.2678	LR: 0.004000
Training Epoch: 14 [45568/47500]	Loss: 0.2926	LR: 0.004000
Training Epoch: 14 [45824/47500]	Loss: 0.3140	LR: 0.004000
Training Epoch: 14 [46080/47500]	Loss: 0.2394	LR: 0.004000
Training Epoch: 14 [46336/47500]	Loss: 0.3013	LR: 0.004000
Training Epoch: 14 [46592/47500]	Loss: 0.3470	LR: 0.004000
Training Epoch: 14 [46848/47500]	Loss: 0.3231	LR: 0.004000
Training Epoch: 14 [47104/47500]	Loss: 0.3497	LR: 0.004000
Training Epoch: 14 [47360/47500]	Loss: 0.2604	LR: 0.004000
Training Epoch: 14 [47500/47500]	Loss: 0.3394	LR: 0.004000
Epoch 14 - Average Train Loss: 0.2969, Train Accuracy: 0.8952
Epoch 14 training time consumed: 29.30s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0013, Accuracy: 0.8894, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_13h_04m_21s/ResNet18-Cifar10-seed4-ret50-14-best.pth
Training Epoch: 15 [256/47500]	Loss: 0.2769	LR: 0.004000
Training Epoch: 15 [512/47500]	Loss: 0.2560	LR: 0.004000
Training Epoch: 15 [768/47500]	Loss: 0.2655	LR: 0.004000
Training Epoch: 15 [1024/47500]	Loss: 0.2959	LR: 0.004000
Training Epoch: 15 [1280/47500]	Loss: 0.2628	LR: 0.004000
Training Epoch: 15 [1536/47500]	Loss: 0.3313	LR: 0.004000
Training Epoch: 15 [1792/47500]	Loss: 0.3222	LR: 0.004000
Training Epoch: 15 [2048/47500]	Loss: 0.2939	LR: 0.004000
Training Epoch: 15 [2304/47500]	Loss: 0.2483	LR: 0.004000
Training Epoch: 15 [2560/47500]	Loss: 0.2149	LR: 0.004000
Training Epoch: 15 [2816/47500]	Loss: 0.1985	LR: 0.004000
Training Epoch: 15 [3072/47500]	Loss: 0.2766	LR: 0.004000
Training Epoch: 15 [3328/47500]	Loss: 0.2700	LR: 0.004000
Training Epoch: 15 [3584/47500]	Loss: 0.3056	LR: 0.004000
Training Epoch: 15 [3840/47500]	Loss: 0.2862	LR: 0.004000
Training Epoch: 15 [4096/47500]	Loss: 0.3054	LR: 0.004000
Training Epoch: 15 [4352/47500]	Loss: 0.3025	LR: 0.004000
Training Epoch: 15 [4608/47500]	Loss: 0.2582	LR: 0.004000
Training Epoch: 15 [4864/47500]	Loss: 0.2565	LR: 0.004000
Training Epoch: 15 [5120/47500]	Loss: 0.2127	LR: 0.004000
Training Epoch: 15 [5376/47500]	Loss: 0.2822	LR: 0.004000
Training Epoch: 15 [5632/47500]	Loss: 0.3020	LR: 0.004000
Training Epoch: 15 [5888/47500]	Loss: 0.2859	LR: 0.004000
Training Epoch: 15 [6144/47500]	Loss: 0.2143	LR: 0.004000
Training Epoch: 15 [6400/47500]	Loss: 0.3089	LR: 0.004000
Training Epoch: 15 [6656/47500]	Loss: 0.3110	LR: 0.004000
Training Epoch: 15 [6912/47500]	Loss: 0.3280	LR: 0.004000
Training Epoch: 15 [7168/47500]	Loss: 0.3337	LR: 0.004000
Training Epoch: 15 [7424/47500]	Loss: 0.2507	LR: 0.004000
Training Epoch: 15 [7680/47500]	Loss: 0.2573	LR: 0.004000
Training Epoch: 15 [7936/47500]	Loss: 0.3275	LR: 0.004000
Training Epoch: 15 [8192/47500]	Loss: 0.2952	LR: 0.004000
Training Epoch: 15 [8448/47500]	Loss: 0.3672	LR: 0.004000
Training Epoch: 15 [8704/47500]	Loss: 0.3391	LR: 0.004000
Training Epoch: 15 [8960/47500]	Loss: 0.2369	LR: 0.004000
Training Epoch: 15 [9216/47500]	Loss: 0.2832	LR: 0.004000
Training Epoch: 15 [9472/47500]	Loss: 0.2588	LR: 0.004000
Training Epoch: 15 [9728/47500]	Loss: 0.2597	LR: 0.004000
Training Epoch: 15 [9984/47500]	Loss: 0.3010	LR: 0.004000
Training Epoch: 15 [10240/47500]	Loss: 0.2742	LR: 0.004000
Training Epoch: 15 [10496/47500]	Loss: 0.2440	LR: 0.004000
Training Epoch: 15 [10752/47500]	Loss: 0.2658	LR: 0.004000
Training Epoch: 15 [11008/47500]	Loss: 0.3544	LR: 0.004000
Training Epoch: 15 [11264/47500]	Loss: 0.3429	LR: 0.004000
Training Epoch: 15 [11520/47500]	Loss: 0.3277	LR: 0.004000
Training Epoch: 15 [11776/47500]	Loss: 0.3398	LR: 0.004000
Training Epoch: 15 [12032/47500]	Loss: 0.3081	LR: 0.004000
Training Epoch: 15 [12288/47500]	Loss: 0.3164	LR: 0.004000
Training Epoch: 15 [12544/47500]	Loss: 0.3093	LR: 0.004000
Training Epoch: 15 [12800/47500]	Loss: 0.3297	LR: 0.004000
Training Epoch: 15 [13056/47500]	Loss: 0.2721	LR: 0.004000
Training Epoch: 15 [13312/47500]	Loss: 0.3255	LR: 0.004000
Training Epoch: 15 [13568/47500]	Loss: 0.2453	LR: 0.004000
Training Epoch: 15 [13824/47500]	Loss: 0.3081	LR: 0.004000
Training Epoch: 15 [14080/47500]	Loss: 0.3178	LR: 0.004000
Training Epoch: 15 [14336/47500]	Loss: 0.3280	LR: 0.004000
Training Epoch: 15 [14592/47500]	Loss: 0.3408	LR: 0.004000
Training Epoch: 15 [14848/47500]	Loss: 0.3596	LR: 0.004000
Training Epoch: 15 [15104/47500]	Loss: 0.2570	LR: 0.004000
Training Epoch: 15 [15360/47500]	Loss: 0.1736	LR: 0.004000
Training Epoch: 15 [15616/47500]	Loss: 0.2962	LR: 0.004000
Training Epoch: 15 [15872/47500]	Loss: 0.3435	LR: 0.004000
Training Epoch: 15 [16128/47500]	Loss: 0.3709	LR: 0.004000
Training Epoch: 15 [16384/47500]	Loss: 0.2801	LR: 0.004000
Training Epoch: 15 [16640/47500]	Loss: 0.2699	LR: 0.004000
Training Epoch: 15 [16896/47500]	Loss: 0.2717	LR: 0.004000
Training Epoch: 15 [17152/47500]	Loss: 0.2668	LR: 0.004000
Training Epoch: 15 [17408/47500]	Loss: 0.2539	LR: 0.004000
Training Epoch: 15 [17664/47500]	Loss: 0.2971	LR: 0.004000
Training Epoch: 15 [17920/47500]	Loss: 0.2910	LR: 0.004000
Training Epoch: 15 [18176/47500]	Loss: 0.3031	LR: 0.004000
Training Epoch: 15 [18432/47500]	Loss: 0.2532	LR: 0.004000
Training Epoch: 15 [18688/47500]	Loss: 0.2412	LR: 0.004000
Training Epoch: 15 [18944/47500]	Loss: 0.3066	LR: 0.004000
Training Epoch: 15 [19200/47500]	Loss: 0.3002	LR: 0.004000
Training Epoch: 15 [19456/47500]	Loss: 0.2505	LR: 0.004000
Training Epoch: 15 [19712/47500]	Loss: 0.2980	LR: 0.004000
Training Epoch: 15 [19968/47500]	Loss: 0.2506	LR: 0.004000
Training Epoch: 15 [20224/47500]	Loss: 0.2118	LR: 0.004000
Training Epoch: 15 [20480/47500]	Loss: 0.3058	LR: 0.004000
Training Epoch: 15 [20736/47500]	Loss: 0.2980	LR: 0.004000
Training Epoch: 15 [20992/47500]	Loss: 0.2423	LR: 0.004000
Training Epoch: 15 [21248/47500]	Loss: 0.2762	LR: 0.004000
Training Epoch: 15 [21504/47500]	Loss: 0.3016	LR: 0.004000
Training Epoch: 15 [21760/47500]	Loss: 0.3062	LR: 0.004000
Training Epoch: 15 [22016/47500]	Loss: 0.3083	LR: 0.004000
Training Epoch: 15 [22272/47500]	Loss: 0.2552	LR: 0.004000
Training Epoch: 15 [22528/47500]	Loss: 0.2430	LR: 0.004000
Training Epoch: 15 [22784/47500]	Loss: 0.2345	LR: 0.004000
Training Epoch: 15 [23040/47500]	Loss: 0.3442	LR: 0.004000
Training Epoch: 15 [23296/47500]	Loss: 0.2687	LR: 0.004000
Training Epoch: 15 [23552/47500]	Loss: 0.2315	LR: 0.004000
Training Epoch: 15 [23808/47500]	Loss: 0.3860	LR: 0.004000
Training Epoch: 15 [24064/47500]	Loss: 0.2453	LR: 0.004000
Training Epoch: 15 [24320/47500]	Loss: 0.2583	LR: 0.004000
Training Epoch: 15 [24576/47500]	Loss: 0.3119	LR: 0.004000
Training Epoch: 15 [24832/47500]	Loss: 0.3049	LR: 0.004000
Training Epoch: 15 [25088/47500]	Loss: 0.2659	LR: 0.004000
Training Epoch: 15 [25344/47500]	Loss: 0.3263	LR: 0.004000
Training Epoch: 15 [25600/47500]	Loss: 0.2841	LR: 0.004000
Training Epoch: 15 [25856/47500]	Loss: 0.2364	LR: 0.004000
Training Epoch: 15 [26112/47500]	Loss: 0.3706	LR: 0.004000
Training Epoch: 15 [26368/47500]	Loss: 0.3271	LR: 0.004000
Training Epoch: 15 [26624/47500]	Loss: 0.2244	LR: 0.004000
Training Epoch: 15 [26880/47500]	Loss: 0.3005	LR: 0.004000
Training Epoch: 15 [27136/47500]	Loss: 0.2907	LR: 0.004000
Training Epoch: 15 [27392/47500]	Loss: 0.3137	LR: 0.004000
Training Epoch: 15 [27648/47500]	Loss: 0.2913	LR: 0.004000
Training Epoch: 15 [27904/47500]	Loss: 0.2227	LR: 0.004000
Training Epoch: 15 [28160/47500]	Loss: 0.3331	LR: 0.004000
Training Epoch: 15 [28416/47500]	Loss: 0.2219	LR: 0.004000
Training Epoch: 15 [28672/47500]	Loss: 0.3059	LR: 0.004000
Training Epoch: 15 [28928/47500]	Loss: 0.2928	LR: 0.004000
Training Epoch: 15 [29184/47500]	Loss: 0.3443	LR: 0.004000
Training Epoch: 15 [29440/47500]	Loss: 0.2203	LR: 0.004000
Training Epoch: 15 [29696/47500]	Loss: 0.3265	LR: 0.004000
Training Epoch: 15 [29952/47500]	Loss: 0.2627	LR: 0.004000
Training Epoch: 15 [30208/47500]	Loss: 0.2680	LR: 0.004000
Training Epoch: 15 [30464/47500]	Loss: 0.3099	LR: 0.004000
Training Epoch: 15 [30720/47500]	Loss: 0.3566	LR: 0.004000
Training Epoch: 15 [30976/47500]	Loss: 0.2612	LR: 0.004000
Training Epoch: 15 [31232/47500]	Loss: 0.2863	LR: 0.004000
Training Epoch: 15 [31488/47500]	Loss: 0.2327	LR: 0.004000
Training Epoch: 15 [31744/47500]	Loss: 0.2989	LR: 0.004000
Training Epoch: 15 [32000/47500]	Loss: 0.2992	LR: 0.004000
Training Epoch: 15 [32256/47500]	Loss: 0.3698	LR: 0.004000
Training Epoch: 15 [32512/47500]	Loss: 0.3145	LR: 0.004000
Training Epoch: 15 [32768/47500]	Loss: 0.3160	LR: 0.004000
Training Epoch: 15 [33024/47500]	Loss: 0.3164	LR: 0.004000
Training Epoch: 15 [33280/47500]	Loss: 0.3278	LR: 0.004000
Training Epoch: 15 [33536/47500]	Loss: 0.2307	LR: 0.004000
Training Epoch: 15 [33792/47500]	Loss: 0.2656	LR: 0.004000
Training Epoch: 15 [34048/47500]	Loss: 0.3048	LR: 0.004000
Training Epoch: 15 [34304/47500]	Loss: 0.3019	LR: 0.004000
Training Epoch: 15 [34560/47500]	Loss: 0.3527	LR: 0.004000
Training Epoch: 15 [34816/47500]	Loss: 0.2913	LR: 0.004000
Training Epoch: 15 [35072/47500]	Loss: 0.3087	LR: 0.004000
Training Epoch: 15 [35328/47500]	Loss: 0.3416	LR: 0.004000
Training Epoch: 15 [35584/47500]	Loss: 0.2787	LR: 0.004000
Training Epoch: 15 [35840/47500]	Loss: 0.2349	LR: 0.004000
Training Epoch: 15 [36096/47500]	Loss: 0.2410	LR: 0.004000
Training Epoch: 15 [36352/47500]	Loss: 0.2974	LR: 0.004000
Training Epoch: 15 [36608/47500]	Loss: 0.2994	LR: 0.004000
Training Epoch: 15 [36864/47500]	Loss: 0.3112	LR: 0.004000
Training Epoch: 15 [37120/47500]	Loss: 0.3209	LR: 0.004000
Training Epoch: 15 [37376/47500]	Loss: 0.4398	LR: 0.004000
Training Epoch: 15 [37632/47500]	Loss: 0.2432	LR: 0.004000
Training Epoch: 15 [37888/47500]	Loss: 0.4097	LR: 0.004000
Training Epoch: 15 [38144/47500]	Loss: 0.2836	LR: 0.004000
Training Epoch: 15 [38400/47500]	Loss: 0.3267	LR: 0.004000
Training Epoch: 15 [38656/47500]	Loss: 0.2465	LR: 0.004000
Training Epoch: 15 [38912/47500]	Loss: 0.3520	LR: 0.004000
Training Epoch: 15 [39168/47500]	Loss: 0.3114	LR: 0.004000
Training Epoch: 15 [39424/47500]	Loss: 0.3274	LR: 0.004000
Training Epoch: 15 [39680/47500]	Loss: 0.2591	LR: 0.004000
Training Epoch: 15 [39936/47500]	Loss: 0.2326	LR: 0.004000
Training Epoch: 15 [40192/47500]	Loss: 0.3643	LR: 0.004000
Training Epoch: 15 [40448/47500]	Loss: 0.3049	LR: 0.004000
Training Epoch: 15 [40704/47500]	Loss: 0.2457	LR: 0.004000
Training Epoch: 15 [40960/47500]	Loss: 0.2810	LR: 0.004000
Training Epoch: 15 [41216/47500]	Loss: 0.3244	LR: 0.004000
Training Epoch: 15 [41472/47500]	Loss: 0.2715	LR: 0.004000
Training Epoch: 15 [41728/47500]	Loss: 0.2994	LR: 0.004000
Training Epoch: 15 [41984/47500]	Loss: 0.3096	LR: 0.004000
Training Epoch: 15 [42240/47500]	Loss: 0.2634	LR: 0.004000
Training Epoch: 15 [42496/47500]	Loss: 0.3285	LR: 0.004000
Training Epoch: 15 [42752/47500]	Loss: 0.2181	LR: 0.004000
Training Epoch: 15 [43008/47500]	Loss: 0.3244	LR: 0.004000
Training Epoch: 15 [43264/47500]	Loss: 0.3123	LR: 0.004000
Training Epoch: 15 [43520/47500]	Loss: 0.2941	LR: 0.004000
Training Epoch: 15 [43776/47500]	Loss: 0.3075	LR: 0.004000
Training Epoch: 15 [44032/47500]	Loss: 0.2566	LR: 0.004000
Training Epoch: 15 [44288/47500]	Loss: 0.2211	LR: 0.004000
Training Epoch: 15 [44544/47500]	Loss: 0.3544	LR: 0.004000
Training Epoch: 15 [44800/47500]	Loss: 0.2593	LR: 0.004000
Training Epoch: 15 [45056/47500]	Loss: 0.3104	LR: 0.004000
Training Epoch: 15 [45312/47500]	Loss: 0.2949	LR: 0.004000
Training Epoch: 15 [45568/47500]	Loss: 0.3217	LR: 0.004000
Training Epoch: 15 [45824/47500]	Loss: 0.3481	LR: 0.004000
Training Epoch: 15 [46080/47500]	Loss: 0.3107	LR: 0.004000
Training Epoch: 15 [46336/47500]	Loss: 0.3226	LR: 0.004000
Training Epoch: 15 [46592/47500]	Loss: 0.2445	LR: 0.004000
Training Epoch: 15 [46848/47500]	Loss: 0.2922	LR: 0.004000
Training Epoch: 15 [47104/47500]	Loss: 0.2699	LR: 0.004000
Training Epoch: 15 [47360/47500]	Loss: 0.3280	LR: 0.004000
Training Epoch: 15 [47500/47500]	Loss: 0.2583	LR: 0.004000
Epoch 15 - Average Train Loss: 0.2913, Train Accuracy: 0.8975
Epoch 15 training time consumed: 29.32s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0013, Accuracy: 0.8901, Time consumed:1.00s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_13h_04m_21s/ResNet18-Cifar10-seed4-ret50-15-best.pth
Training Epoch: 16 [256/47500]	Loss: 0.2448	LR: 0.000800
Training Epoch: 16 [512/47500]	Loss: 0.2423	LR: 0.000800
Training Epoch: 16 [768/47500]	Loss: 0.3099	LR: 0.000800
Training Epoch: 16 [1024/47500]	Loss: 0.3205	LR: 0.000800
Training Epoch: 16 [1280/47500]	Loss: 0.3464	LR: 0.000800
Training Epoch: 16 [1536/47500]	Loss: 0.2286	LR: 0.000800
Training Epoch: 16 [1792/47500]	Loss: 0.2538	LR: 0.000800
Training Epoch: 16 [2048/47500]	Loss: 0.2802	LR: 0.000800
Training Epoch: 16 [2304/47500]	Loss: 0.2311	LR: 0.000800
Training Epoch: 16 [2560/47500]	Loss: 0.2091	LR: 0.000800
Training Epoch: 16 [2816/47500]	Loss: 0.2511	LR: 0.000800
Training Epoch: 16 [3072/47500]	Loss: 0.2593	LR: 0.000800
Training Epoch: 16 [3328/47500]	Loss: 0.3207	LR: 0.000800
Training Epoch: 16 [3584/47500]	Loss: 0.3771	LR: 0.000800
Training Epoch: 16 [3840/47500]	Loss: 0.3342	LR: 0.000800
Training Epoch: 16 [4096/47500]	Loss: 0.2398	LR: 0.000800
Training Epoch: 16 [4352/47500]	Loss: 0.2629	LR: 0.000800
Training Epoch: 16 [4608/47500]	Loss: 0.3269	LR: 0.000800
Training Epoch: 16 [4864/47500]	Loss: 0.2785	LR: 0.000800
Training Epoch: 16 [5120/47500]	Loss: 0.3207	LR: 0.000800
Training Epoch: 16 [5376/47500]	Loss: 0.3667	LR: 0.000800
Training Epoch: 16 [5632/47500]	Loss: 0.2422	LR: 0.000800
Training Epoch: 16 [5888/47500]	Loss: 0.2130	LR: 0.000800
Training Epoch: 16 [6144/47500]	Loss: 0.3073	LR: 0.000800
Training Epoch: 16 [6400/47500]	Loss: 0.3209	LR: 0.000800
Training Epoch: 16 [6656/47500]	Loss: 0.2698	LR: 0.000800
Training Epoch: 16 [6912/47500]	Loss: 0.2409	LR: 0.000800
Training Epoch: 16 [7168/47500]	Loss: 0.4030	LR: 0.000800
Training Epoch: 16 [7424/47500]	Loss: 0.3065	LR: 0.000800
Training Epoch: 16 [7680/47500]	Loss: 0.3306	LR: 0.000800
Training Epoch: 16 [7936/47500]	Loss: 0.2508	LR: 0.000800
Training Epoch: 16 [8192/47500]	Loss: 0.4030	LR: 0.000800
Training Epoch: 16 [8448/47500]	Loss: 0.3501	LR: 0.000800
Training Epoch: 16 [8704/47500]	Loss: 0.3724	LR: 0.000800
Training Epoch: 16 [8960/47500]	Loss: 0.2865	LR: 0.000800
Training Epoch: 16 [9216/47500]	Loss: 0.3024	LR: 0.000800
Training Epoch: 16 [9472/47500]	Loss: 0.3014	LR: 0.000800
Training Epoch: 16 [9728/47500]	Loss: 0.3369	LR: 0.000800
Training Epoch: 16 [9984/47500]	Loss: 0.2906	LR: 0.000800
Training Epoch: 16 [10240/47500]	Loss: 0.2621	LR: 0.000800
Training Epoch: 16 [10496/47500]	Loss: 0.3101	LR: 0.000800
Training Epoch: 16 [10752/47500]	Loss: 0.2943	LR: 0.000800
Training Epoch: 16 [11008/47500]	Loss: 0.2925	LR: 0.000800
Training Epoch: 16 [11264/47500]	Loss: 0.2046	LR: 0.000800
Training Epoch: 16 [11520/47500]	Loss: 0.2926	LR: 0.000800
Training Epoch: 16 [11776/47500]	Loss: 0.2659	LR: 0.000800
Training Epoch: 16 [12032/47500]	Loss: 0.2887	LR: 0.000800
Training Epoch: 16 [12288/47500]	Loss: 0.2635	LR: 0.000800
Training Epoch: 16 [12544/47500]	Loss: 0.2748	LR: 0.000800
Training Epoch: 16 [12800/47500]	Loss: 0.2951	LR: 0.000800
Training Epoch: 16 [13056/47500]	Loss: 0.2599	LR: 0.000800
Training Epoch: 16 [13312/47500]	Loss: 0.2880	LR: 0.000800
Training Epoch: 16 [13568/47500]	Loss: 0.4182	LR: 0.000800
Training Epoch: 16 [13824/47500]	Loss: 0.2146	LR: 0.000800
Training Epoch: 16 [14080/47500]	Loss: 0.2223	LR: 0.000800
Training Epoch: 16 [14336/47500]	Loss: 0.3338	LR: 0.000800
Training Epoch: 16 [14592/47500]	Loss: 0.2452	LR: 0.000800
Training Epoch: 16 [14848/47500]	Loss: 0.3360	LR: 0.000800
Training Epoch: 16 [15104/47500]	Loss: 0.3193	LR: 0.000800
Training Epoch: 16 [15360/47500]	Loss: 0.2180	LR: 0.000800
Training Epoch: 16 [15616/47500]	Loss: 0.2553	LR: 0.000800
Training Epoch: 16 [15872/47500]	Loss: 0.3222	LR: 0.000800
Training Epoch: 16 [16128/47500]	Loss: 0.2065	LR: 0.000800
Training Epoch: 16 [16384/47500]	Loss: 0.2614	LR: 0.000800
Training Epoch: 16 [16640/47500]	Loss: 0.2790	LR: 0.000800
Training Epoch: 16 [16896/47500]	Loss: 0.2645	LR: 0.000800
Training Epoch: 16 [17152/47500]	Loss: 0.2525	LR: 0.000800
Training Epoch: 16 [17408/47500]	Loss: 0.2481	LR: 0.000800
Training Epoch: 16 [17664/47500]	Loss: 0.2931	LR: 0.000800
Training Epoch: 16 [17920/47500]	Loss: 0.2676	LR: 0.000800
Training Epoch: 16 [18176/47500]	Loss: 0.3489	LR: 0.000800
Training Epoch: 16 [18432/47500]	Loss: 0.2453	LR: 0.000800
Training Epoch: 16 [18688/47500]	Loss: 0.2826	LR: 0.000800
Training Epoch: 16 [18944/47500]	Loss: 0.2735	LR: 0.000800
Training Epoch: 16 [19200/47500]	Loss: 0.2792	LR: 0.000800
Training Epoch: 16 [19456/47500]	Loss: 0.1856	LR: 0.000800
Training Epoch: 16 [19712/47500]	Loss: 0.1917	LR: 0.000800
Training Epoch: 16 [19968/47500]	Loss: 0.3059	LR: 0.000800
Training Epoch: 16 [20224/47500]	Loss: 0.2821	LR: 0.000800
Training Epoch: 16 [20480/47500]	Loss: 0.2874	LR: 0.000800
Training Epoch: 16 [20736/47500]	Loss: 0.2498	LR: 0.000800
Training Epoch: 16 [20992/47500]	Loss: 0.3044	LR: 0.000800
Training Epoch: 16 [21248/47500]	Loss: 0.2977	LR: 0.000800
Training Epoch: 16 [21504/47500]	Loss: 0.2391	LR: 0.000800
Training Epoch: 16 [21760/47500]	Loss: 0.3059	LR: 0.000800
Training Epoch: 16 [22016/47500]	Loss: 0.2330	LR: 0.000800
Training Epoch: 16 [22272/47500]	Loss: 0.3053	LR: 0.000800
Training Epoch: 16 [22528/47500]	Loss: 0.3444	LR: 0.000800
Training Epoch: 16 [22784/47500]	Loss: 0.3020	LR: 0.000800
Training Epoch: 16 [23040/47500]	Loss: 0.3221	LR: 0.000800
Training Epoch: 16 [23296/47500]	Loss: 0.2257	LR: 0.000800
Training Epoch: 16 [23552/47500]	Loss: 0.3358	LR: 0.000800
Training Epoch: 16 [23808/47500]	Loss: 0.3189	LR: 0.000800
Training Epoch: 16 [24064/47500]	Loss: 0.2975	LR: 0.000800
Training Epoch: 16 [24320/47500]	Loss: 0.3098	LR: 0.000800
Training Epoch: 16 [24576/47500]	Loss: 0.2737	LR: 0.000800
Training Epoch: 16 [24832/47500]	Loss: 0.2683	LR: 0.000800
Training Epoch: 16 [25088/47500]	Loss: 0.2912	LR: 0.000800
Training Epoch: 16 [25344/47500]	Loss: 0.2672	LR: 0.000800
Training Epoch: 16 [25600/47500]	Loss: 0.2670	LR: 0.000800
Training Epoch: 16 [25856/47500]	Loss: 0.1973	LR: 0.000800
Training Epoch: 16 [26112/47500]	Loss: 0.3513	LR: 0.000800
Training Epoch: 16 [26368/47500]	Loss: 0.2934	LR: 0.000800
Training Epoch: 16 [26624/47500]	Loss: 0.3200	LR: 0.000800
Training Epoch: 16 [26880/47500]	Loss: 0.2931	LR: 0.000800
Training Epoch: 16 [27136/47500]	Loss: 0.2887	LR: 0.000800
Training Epoch: 16 [27392/47500]	Loss: 0.2421	LR: 0.000800
Training Epoch: 16 [27648/47500]	Loss: 0.2916	LR: 0.000800
Training Epoch: 16 [27904/47500]	Loss: 0.3188	LR: 0.000800
Training Epoch: 16 [28160/47500]	Loss: 0.1895	LR: 0.000800
Training Epoch: 16 [28416/47500]	Loss: 0.2681	LR: 0.000800
Training Epoch: 16 [28672/47500]	Loss: 0.2670	LR: 0.000800
Training Epoch: 16 [28928/47500]	Loss: 0.2355	LR: 0.000800
Training Epoch: 16 [29184/47500]	Loss: 0.2871	LR: 0.000800
Training Epoch: 16 [29440/47500]	Loss: 0.2347	LR: 0.000800
Training Epoch: 16 [29696/47500]	Loss: 0.3722	LR: 0.000800
Training Epoch: 16 [29952/47500]	Loss: 0.2286	LR: 0.000800
Training Epoch: 16 [30208/47500]	Loss: 0.3016	LR: 0.000800
Training Epoch: 16 [30464/47500]	Loss: 0.1800	LR: 0.000800
Training Epoch: 16 [30720/47500]	Loss: 0.3217	LR: 0.000800
Training Epoch: 16 [30976/47500]	Loss: 0.3018	LR: 0.000800
Training Epoch: 16 [31232/47500]	Loss: 0.1987	LR: 0.000800
Training Epoch: 16 [31488/47500]	Loss: 0.1887	LR: 0.000800
Training Epoch: 16 [31744/47500]	Loss: 0.2414	LR: 0.000800
Training Epoch: 16 [32000/47500]	Loss: 0.2841	LR: 0.000800
Training Epoch: 16 [32256/47500]	Loss: 0.2213	LR: 0.000800
Training Epoch: 16 [32512/47500]	Loss: 0.2712	LR: 0.000800
Training Epoch: 16 [32768/47500]	Loss: 0.3170	LR: 0.000800
Training Epoch: 16 [33024/47500]	Loss: 0.2579	LR: 0.000800
Training Epoch: 16 [33280/47500]	Loss: 0.1929	LR: 0.000800
Training Epoch: 16 [33536/47500]	Loss: 0.2649	LR: 0.000800
Training Epoch: 16 [33792/47500]	Loss: 0.2509	LR: 0.000800
Training Epoch: 16 [34048/47500]	Loss: 0.2773	LR: 0.000800
Training Epoch: 16 [34304/47500]	Loss: 0.2420	LR: 0.000800
Training Epoch: 16 [34560/47500]	Loss: 0.3050	LR: 0.000800
Training Epoch: 16 [34816/47500]	Loss: 0.2871	LR: 0.000800
Training Epoch: 16 [35072/47500]	Loss: 0.3193	LR: 0.000800
Training Epoch: 16 [35328/47500]	Loss: 0.2378	LR: 0.000800
Training Epoch: 16 [35584/47500]	Loss: 0.2127	LR: 0.000800
Training Epoch: 16 [35840/47500]	Loss: 0.2771	LR: 0.000800
Training Epoch: 16 [36096/47500]	Loss: 0.1758	LR: 0.000800
Training Epoch: 16 [36352/47500]	Loss: 0.2970	LR: 0.000800
Training Epoch: 16 [36608/47500]	Loss: 0.3047	LR: 0.000800
Training Epoch: 16 [36864/47500]	Loss: 0.2763	LR: 0.000800
Training Epoch: 16 [37120/47500]	Loss: 0.2871	LR: 0.000800
Training Epoch: 16 [37376/47500]	Loss: 0.2668	LR: 0.000800
Training Epoch: 16 [37632/47500]	Loss: 0.2606	LR: 0.000800
Training Epoch: 16 [37888/47500]	Loss: 0.2381	LR: 0.000800
Training Epoch: 16 [38144/47500]	Loss: 0.2031	LR: 0.000800
Training Epoch: 16 [38400/47500]	Loss: 0.3474	LR: 0.000800
Training Epoch: 16 [38656/47500]	Loss: 0.2930	LR: 0.000800
Training Epoch: 16 [38912/47500]	Loss: 0.2375	LR: 0.000800
Training Epoch: 16 [39168/47500]	Loss: 0.2533	LR: 0.000800
Training Epoch: 16 [39424/47500]	Loss: 0.3564	LR: 0.000800
Training Epoch: 16 [39680/47500]	Loss: 0.2601	LR: 0.000800
Training Epoch: 16 [39936/47500]	Loss: 0.2568	LR: 0.000800
Training Epoch: 16 [40192/47500]	Loss: 0.2373	LR: 0.000800
Training Epoch: 16 [40448/47500]	Loss: 0.2844	LR: 0.000800
Training Epoch: 16 [40704/47500]	Loss: 0.2809	LR: 0.000800
Training Epoch: 16 [40960/47500]	Loss: 0.2136	LR: 0.000800
Training Epoch: 16 [41216/47500]	Loss: 0.2634	LR: 0.000800
Training Epoch: 16 [41472/47500]	Loss: 0.2463	LR: 0.000800
Training Epoch: 16 [41728/47500]	Loss: 0.3093	LR: 0.000800
Training Epoch: 16 [41984/47500]	Loss: 0.2432	LR: 0.000800
Training Epoch: 16 [42240/47500]	Loss: 0.2938	LR: 0.000800
Training Epoch: 16 [42496/47500]	Loss: 0.2931	LR: 0.000800
Training Epoch: 16 [42752/47500]	Loss: 0.3279	LR: 0.000800
Training Epoch: 16 [43008/47500]	Loss: 0.3026	LR: 0.000800
Training Epoch: 16 [43264/47500]	Loss: 0.2634	LR: 0.000800
Training Epoch: 16 [43520/47500]	Loss: 0.2022	LR: 0.000800
Training Epoch: 16 [43776/47500]	Loss: 0.3215	LR: 0.000800
Training Epoch: 16 [44032/47500]	Loss: 0.2360	LR: 0.000800
Training Epoch: 16 [44288/47500]	Loss: 0.3294	LR: 0.000800
Training Epoch: 16 [44544/47500]	Loss: 0.2799	LR: 0.000800
Training Epoch: 16 [44800/47500]	Loss: 0.2781	LR: 0.000800
Training Epoch: 16 [45056/47500]	Loss: 0.2567	LR: 0.000800
Training Epoch: 16 [45312/47500]	Loss: 0.2589	LR: 0.000800
Training Epoch: 16 [45568/47500]	Loss: 0.2296	LR: 0.000800
Training Epoch: 16 [45824/47500]	Loss: 0.2717	LR: 0.000800
Training Epoch: 16 [46080/47500]	Loss: 0.3233	LR: 0.000800
Training Epoch: 16 [46336/47500]	Loss: 0.3158	LR: 0.000800
Training Epoch: 16 [46592/47500]	Loss: 0.2539	LR: 0.000800
Training Epoch: 16 [46848/47500]	Loss: 0.2314	LR: 0.000800
Training Epoch: 16 [47104/47500]	Loss: 0.3338	LR: 0.000800
Training Epoch: 16 [47360/47500]	Loss: 0.2235	LR: 0.000800
Training Epoch: 16 [47500/47500]	Loss: 0.2708	LR: 0.000800
Epoch 16 - Average Train Loss: 0.2777, Train Accuracy: 0.9029
Epoch 16 training time consumed: 29.20s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0013, Accuracy: 0.8920, Time consumed:0.99s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_13h_04m_21s/ResNet18-Cifar10-seed4-ret50-16-best.pth
Training Epoch: 17 [256/47500]	Loss: 0.2623	LR: 0.000800
Training Epoch: 17 [512/47500]	Loss: 0.2034	LR: 0.000800
Training Epoch: 17 [768/47500]	Loss: 0.2961	LR: 0.000800
Training Epoch: 17 [1024/47500]	Loss: 0.2604	LR: 0.000800
Training Epoch: 17 [1280/47500]	Loss: 0.1921	LR: 0.000800
Training Epoch: 17 [1536/47500]	Loss: 0.3274	LR: 0.000800
Training Epoch: 17 [1792/47500]	Loss: 0.1881	LR: 0.000800
Training Epoch: 17 [2048/47500]	Loss: 0.2330	LR: 0.000800
Training Epoch: 17 [2304/47500]	Loss: 0.2989	LR: 0.000800
Training Epoch: 17 [2560/47500]	Loss: 0.2445	LR: 0.000800
Training Epoch: 17 [2816/47500]	Loss: 0.3063	LR: 0.000800
Training Epoch: 17 [3072/47500]	Loss: 0.3131	LR: 0.000800
Training Epoch: 17 [3328/47500]	Loss: 0.2308	LR: 0.000800
Training Epoch: 17 [3584/47500]	Loss: 0.2302	LR: 0.000800
Training Epoch: 17 [3840/47500]	Loss: 0.2008	LR: 0.000800
Training Epoch: 17 [4096/47500]	Loss: 0.2666	LR: 0.000800
Training Epoch: 17 [4352/47500]	Loss: 0.2743	LR: 0.000800
Training Epoch: 17 [4608/47500]	Loss: 0.2096	LR: 0.000800
Training Epoch: 17 [4864/47500]	Loss: 0.2191	LR: 0.000800
Training Epoch: 17 [5120/47500]	Loss: 0.3072	LR: 0.000800
Training Epoch: 17 [5376/47500]	Loss: 0.2157	LR: 0.000800
Training Epoch: 17 [5632/47500]	Loss: 0.1755	LR: 0.000800
Training Epoch: 17 [5888/47500]	Loss: 0.2059	LR: 0.000800
Training Epoch: 17 [6144/47500]	Loss: 0.2520	LR: 0.000800
Training Epoch: 17 [6400/47500]	Loss: 0.3328	LR: 0.000800
Training Epoch: 17 [6656/47500]	Loss: 0.2699	LR: 0.000800
Training Epoch: 17 [6912/47500]	Loss: 0.2984	LR: 0.000800
Training Epoch: 17 [7168/47500]	Loss: 0.1551	LR: 0.000800
Training Epoch: 17 [7424/47500]	Loss: 0.1802	LR: 0.000800
Training Epoch: 17 [7680/47500]	Loss: 0.2401	LR: 0.000800
Training Epoch: 17 [7936/47500]	Loss: 0.2729	LR: 0.000800
Training Epoch: 17 [8192/47500]	Loss: 0.2661	LR: 0.000800
Training Epoch: 17 [8448/47500]	Loss: 0.3078	LR: 0.000800
Training Epoch: 17 [8704/47500]	Loss: 0.3252	LR: 0.000800
Training Epoch: 17 [8960/47500]	Loss: 0.2682	LR: 0.000800
Training Epoch: 17 [9216/47500]	Loss: 0.2455	LR: 0.000800
Training Epoch: 17 [9472/47500]	Loss: 0.2496	LR: 0.000800
Training Epoch: 17 [9728/47500]	Loss: 0.2976	LR: 0.000800
Training Epoch: 17 [9984/47500]	Loss: 0.3175	LR: 0.000800
Training Epoch: 17 [10240/47500]	Loss: 0.3115	LR: 0.000800
Training Epoch: 17 [10496/47500]	Loss: 0.2132	LR: 0.000800
Training Epoch: 17 [10752/47500]	Loss: 0.3302	LR: 0.000800
Training Epoch: 17 [11008/47500]	Loss: 0.2121	LR: 0.000800
Training Epoch: 17 [11264/47500]	Loss: 0.3038	LR: 0.000800
Training Epoch: 17 [11520/47500]	Loss: 0.2982	LR: 0.000800
Training Epoch: 17 [11776/47500]	Loss: 0.2624	LR: 0.000800
Training Epoch: 17 [12032/47500]	Loss: 0.2701	LR: 0.000800
Training Epoch: 17 [12288/47500]	Loss: 0.2423	LR: 0.000800
Training Epoch: 17 [12544/47500]	Loss: 0.2848	LR: 0.000800
Training Epoch: 17 [12800/47500]	Loss: 0.3290	LR: 0.000800
Training Epoch: 17 [13056/47500]	Loss: 0.2965	LR: 0.000800
Training Epoch: 17 [13312/47500]	Loss: 0.3862	LR: 0.000800
Training Epoch: 17 [13568/47500]	Loss: 0.2851	LR: 0.000800
Training Epoch: 17 [13824/47500]	Loss: 0.2464	LR: 0.000800
Training Epoch: 17 [14080/47500]	Loss: 0.3312	LR: 0.000800
Training Epoch: 17 [14336/47500]	Loss: 0.2291	LR: 0.000800
Training Epoch: 17 [14592/47500]	Loss: 0.2649	LR: 0.000800
Training Epoch: 17 [14848/47500]	Loss: 0.3318	LR: 0.000800
Training Epoch: 17 [15104/47500]	Loss: 0.2630	LR: 0.000800
Training Epoch: 17 [15360/47500]	Loss: 0.2924	LR: 0.000800
Training Epoch: 17 [15616/47500]	Loss: 0.2371	LR: 0.000800
Training Epoch: 17 [15872/47500]	Loss: 0.3047	LR: 0.000800
Training Epoch: 17 [16128/47500]	Loss: 0.2257	LR: 0.000800
Training Epoch: 17 [16384/47500]	Loss: 0.2234	LR: 0.000800
Training Epoch: 17 [16640/47500]	Loss: 0.3243	LR: 0.000800
Training Epoch: 17 [16896/47500]	Loss: 0.2818	LR: 0.000800
Training Epoch: 17 [17152/47500]	Loss: 0.2927	LR: 0.000800
Training Epoch: 17 [17408/47500]	Loss: 0.3194	LR: 0.000800
Training Epoch: 17 [17664/47500]	Loss: 0.3733	LR: 0.000800
Training Epoch: 17 [17920/47500]	Loss: 0.2864	LR: 0.000800
Training Epoch: 17 [18176/47500]	Loss: 0.2911	LR: 0.000800
Training Epoch: 17 [18432/47500]	Loss: 0.2239	LR: 0.000800
Training Epoch: 17 [18688/47500]	Loss: 0.2928	LR: 0.000800
Training Epoch: 17 [18944/47500]	Loss: 0.3583	LR: 0.000800
Training Epoch: 17 [19200/47500]	Loss: 0.2593	LR: 0.000800
Training Epoch: 17 [19456/47500]	Loss: 0.2648	LR: 0.000800
Training Epoch: 17 [19712/47500]	Loss: 0.2284	LR: 0.000800
Training Epoch: 17 [19968/47500]	Loss: 0.2493	LR: 0.000800
Training Epoch: 17 [20224/47500]	Loss: 0.1881	LR: 0.000800
Training Epoch: 17 [20480/47500]	Loss: 0.2236	LR: 0.000800
Training Epoch: 17 [20736/47500]	Loss: 0.3659	LR: 0.000800
Training Epoch: 17 [20992/47500]	Loss: 0.2223	LR: 0.000800
Training Epoch: 17 [21248/47500]	Loss: 0.2483	LR: 0.000800
Training Epoch: 17 [21504/47500]	Loss: 0.2761	LR: 0.000800
Training Epoch: 17 [21760/47500]	Loss: 0.2862	LR: 0.000800
Training Epoch: 17 [22016/47500]	Loss: 0.2473	LR: 0.000800
Training Epoch: 17 [22272/47500]	Loss: 0.2420	LR: 0.000800
Training Epoch: 17 [22528/47500]	Loss: 0.2266	LR: 0.000800
Training Epoch: 17 [22784/47500]	Loss: 0.2207	LR: 0.000800
Training Epoch: 17 [23040/47500]	Loss: 0.2542	LR: 0.000800
Training Epoch: 17 [23296/47500]	Loss: 0.2393	LR: 0.000800
Training Epoch: 17 [23552/47500]	Loss: 0.2209	LR: 0.000800
Training Epoch: 17 [23808/47500]	Loss: 0.3190	LR: 0.000800
Training Epoch: 17 [24064/47500]	Loss: 0.2967	LR: 0.000800
Training Epoch: 17 [24320/47500]	Loss: 0.2426	LR: 0.000800
Training Epoch: 17 [24576/47500]	Loss: 0.3111	LR: 0.000800
Training Epoch: 17 [24832/47500]	Loss: 0.2230	LR: 0.000800
Training Epoch: 17 [25088/47500]	Loss: 0.2740	LR: 0.000800
Training Epoch: 17 [25344/47500]	Loss: 0.2953	LR: 0.000800
Training Epoch: 17 [25600/47500]	Loss: 0.3342	LR: 0.000800
Training Epoch: 17 [25856/47500]	Loss: 0.2163	LR: 0.000800
Training Epoch: 17 [26112/47500]	Loss: 0.2155	LR: 0.000800
Training Epoch: 17 [26368/47500]	Loss: 0.2479	LR: 0.000800
Training Epoch: 17 [26624/47500]	Loss: 0.3024	LR: 0.000800
Training Epoch: 17 [26880/47500]	Loss: 0.2951	LR: 0.000800
Training Epoch: 17 [27136/47500]	Loss: 0.2305	LR: 0.000800
Training Epoch: 17 [27392/47500]	Loss: 0.2956	LR: 0.000800
Training Epoch: 17 [27648/47500]	Loss: 0.2838	LR: 0.000800
Training Epoch: 17 [27904/47500]	Loss: 0.3195	LR: 0.000800
Training Epoch: 17 [28160/47500]	Loss: 0.3320	LR: 0.000800
Training Epoch: 17 [28416/47500]	Loss: 0.3441	LR: 0.000800
Training Epoch: 17 [28672/47500]	Loss: 0.2519	LR: 0.000800
Training Epoch: 17 [28928/47500]	Loss: 0.2604	LR: 0.000800
Training Epoch: 17 [29184/47500]	Loss: 0.2086	LR: 0.000800
Training Epoch: 17 [29440/47500]	Loss: 0.2991	LR: 0.000800
Training Epoch: 17 [29696/47500]	Loss: 0.2216	LR: 0.000800
Training Epoch: 17 [29952/47500]	Loss: 0.3442	LR: 0.000800
Training Epoch: 17 [30208/47500]	Loss: 0.2517	LR: 0.000800
Training Epoch: 17 [30464/47500]	Loss: 0.3282	LR: 0.000800
Training Epoch: 17 [30720/47500]	Loss: 0.2898	LR: 0.000800
Training Epoch: 17 [30976/47500]	Loss: 0.2775	LR: 0.000800
Training Epoch: 17 [31232/47500]	Loss: 0.2472	LR: 0.000800
Training Epoch: 17 [31488/47500]	Loss: 0.2150	LR: 0.000800
Training Epoch: 17 [31744/47500]	Loss: 0.2781	LR: 0.000800
Training Epoch: 17 [32000/47500]	Loss: 0.2784	LR: 0.000800
Training Epoch: 17 [32256/47500]	Loss: 0.2341	LR: 0.000800
Training Epoch: 17 [32512/47500]	Loss: 0.2014	LR: 0.000800
Training Epoch: 17 [32768/47500]	Loss: 0.2796	LR: 0.000800
Training Epoch: 17 [33024/47500]	Loss: 0.2548	LR: 0.000800
Training Epoch: 17 [33280/47500]	Loss: 0.1858	LR: 0.000800
Training Epoch: 17 [33536/47500]	Loss: 0.2459	LR: 0.000800
Training Epoch: 17 [33792/47500]	Loss: 0.3423	LR: 0.000800
Training Epoch: 17 [34048/47500]	Loss: 0.2749	LR: 0.000800
Training Epoch: 17 [34304/47500]	Loss: 0.3100	LR: 0.000800
Training Epoch: 17 [34560/47500]	Loss: 0.3207	LR: 0.000800
Training Epoch: 17 [34816/47500]	Loss: 0.2959	LR: 0.000800
Training Epoch: 17 [35072/47500]	Loss: 0.2637	LR: 0.000800
Training Epoch: 17 [35328/47500]	Loss: 0.3014	LR: 0.000800
Training Epoch: 17 [35584/47500]	Loss: 0.2883	LR: 0.000800
Training Epoch: 17 [35840/47500]	Loss: 0.2757	LR: 0.000800
Training Epoch: 17 [36096/47500]	Loss: 0.2882	LR: 0.000800
Training Epoch: 17 [36352/47500]	Loss: 0.3740	LR: 0.000800
Training Epoch: 17 [36608/47500]	Loss: 0.2610	LR: 0.000800
Training Epoch: 17 [36864/47500]	Loss: 0.3002	LR: 0.000800
Training Epoch: 17 [37120/47500]	Loss: 0.2979	LR: 0.000800
Training Epoch: 17 [37376/47500]	Loss: 0.2763	LR: 0.000800
Training Epoch: 17 [37632/47500]	Loss: 0.2990	LR: 0.000800
Training Epoch: 17 [37888/47500]	Loss: 0.2284	LR: 0.000800
Training Epoch: 17 [38144/47500]	Loss: 0.2822	LR: 0.000800
Training Epoch: 17 [38400/47500]	Loss: 0.2970	LR: 0.000800
Training Epoch: 17 [38656/47500]	Loss: 0.2980	LR: 0.000800
Training Epoch: 17 [38912/47500]	Loss: 0.2682	LR: 0.000800
Training Epoch: 17 [39168/47500]	Loss: 0.3119	LR: 0.000800
Training Epoch: 17 [39424/47500]	Loss: 0.3124	LR: 0.000800
Training Epoch: 17 [39680/47500]	Loss: 0.2832	LR: 0.000800
Training Epoch: 17 [39936/47500]	Loss: 0.3206	LR: 0.000800
Training Epoch: 17 [40192/47500]	Loss: 0.2793	LR: 0.000800
Training Epoch: 17 [40448/47500]	Loss: 0.3462	LR: 0.000800
Training Epoch: 17 [40704/47500]	Loss: 0.2887	LR: 0.000800
Training Epoch: 17 [40960/47500]	Loss: 0.3164	LR: 0.000800
Training Epoch: 17 [41216/47500]	Loss: 0.3484	LR: 0.000800
Training Epoch: 17 [41472/47500]	Loss: 0.3027	LR: 0.000800
Training Epoch: 17 [41728/47500]	Loss: 0.3389	LR: 0.000800
Training Epoch: 17 [41984/47500]	Loss: 0.2851	LR: 0.000800
Training Epoch: 17 [42240/47500]	Loss: 0.3337	LR: 0.000800
Training Epoch: 17 [42496/47500]	Loss: 0.3285	LR: 0.000800
Training Epoch: 17 [42752/47500]	Loss: 0.2393	LR: 0.000800
Training Epoch: 17 [43008/47500]	Loss: 0.2309	LR: 0.000800
Training Epoch: 17 [43264/47500]	Loss: 0.2954	LR: 0.000800
Training Epoch: 17 [43520/47500]	Loss: 0.2428	LR: 0.000800
Training Epoch: 17 [43776/47500]	Loss: 0.2359	LR: 0.000800
Training Epoch: 17 [44032/47500]	Loss: 0.2665	LR: 0.000800
Training Epoch: 17 [44288/47500]	Loss: 0.2947	LR: 0.000800
Training Epoch: 17 [44544/47500]	Loss: 0.2486	LR: 0.000800
Training Epoch: 17 [44800/47500]	Loss: 0.1950	LR: 0.000800
Training Epoch: 17 [45056/47500]	Loss: 0.3103	LR: 0.000800
Training Epoch: 17 [45312/47500]	Loss: 0.2237	LR: 0.000800
Training Epoch: 17 [45568/47500]	Loss: 0.2139	LR: 0.000800
Training Epoch: 17 [45824/47500]	Loss: 0.2901	LR: 0.000800
Training Epoch: 17 [46080/47500]	Loss: 0.2462	LR: 0.000800
Training Epoch: 17 [46336/47500]	Loss: 0.2359	LR: 0.000800
Training Epoch: 17 [46592/47500]	Loss: 0.3179	LR: 0.000800
Training Epoch: 17 [46848/47500]	Loss: 0.2524	LR: 0.000800
Training Epoch: 17 [47104/47500]	Loss: 0.2179	LR: 0.000800
Training Epoch: 17 [47360/47500]	Loss: 0.1922	LR: 0.000800
Training Epoch: 17 [47500/47500]	Loss: 0.3952	LR: 0.000800
Epoch 17 - Average Train Loss: 0.2719, Train Accuracy: 0.9053
Epoch 17 training time consumed: 29.15s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0013, Accuracy: 0.8921, Time consumed:1.01s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_13h_04m_21s/ResNet18-Cifar10-seed4-ret50-17-best.pth
Training Epoch: 18 [256/47500]	Loss: 0.2752	LR: 0.000800
Training Epoch: 18 [512/47500]	Loss: 0.2725	LR: 0.000800
Training Epoch: 18 [768/47500]	Loss: 0.2388	LR: 0.000800
Training Epoch: 18 [1024/47500]	Loss: 0.3067	LR: 0.000800
Training Epoch: 18 [1280/47500]	Loss: 0.2145	LR: 0.000800
Training Epoch: 18 [1536/47500]	Loss: 0.2518	LR: 0.000800
Training Epoch: 18 [1792/47500]	Loss: 0.3187	LR: 0.000800
Training Epoch: 18 [2048/47500]	Loss: 0.3005	LR: 0.000800
Training Epoch: 18 [2304/47500]	Loss: 0.2685	LR: 0.000800
Training Epoch: 18 [2560/47500]	Loss: 0.3111	LR: 0.000800
Training Epoch: 18 [2816/47500]	Loss: 0.3147	LR: 0.000800
Training Epoch: 18 [3072/47500]	Loss: 0.2776	LR: 0.000800
Training Epoch: 18 [3328/47500]	Loss: 0.2370	LR: 0.000800
Training Epoch: 18 [3584/47500]	Loss: 0.2070	LR: 0.000800
Training Epoch: 18 [3840/47500]	Loss: 0.3473	LR: 0.000800
Training Epoch: 18 [4096/47500]	Loss: 0.2560	LR: 0.000800
Training Epoch: 18 [4352/47500]	Loss: 0.2475	LR: 0.000800
Training Epoch: 18 [4608/47500]	Loss: 0.3110	LR: 0.000800
Training Epoch: 18 [4864/47500]	Loss: 0.2276	LR: 0.000800
Training Epoch: 18 [5120/47500]	Loss: 0.2369	LR: 0.000800
Training Epoch: 18 [5376/47500]	Loss: 0.2811	LR: 0.000800
Training Epoch: 18 [5632/47500]	Loss: 0.2647	LR: 0.000800
Training Epoch: 18 [5888/47500]	Loss: 0.2587	LR: 0.000800
Training Epoch: 18 [6144/47500]	Loss: 0.1936	LR: 0.000800
Training Epoch: 18 [6400/47500]	Loss: 0.2662	LR: 0.000800
Training Epoch: 18 [6656/47500]	Loss: 0.4067	LR: 0.000800
Training Epoch: 18 [6912/47500]	Loss: 0.2893	LR: 0.000800
Training Epoch: 18 [7168/47500]	Loss: 0.2358	LR: 0.000800
Training Epoch: 18 [7424/47500]	Loss: 0.2698	LR: 0.000800
Training Epoch: 18 [7680/47500]	Loss: 0.2723	LR: 0.000800
Training Epoch: 18 [7936/47500]	Loss: 0.3310	LR: 0.000800
Training Epoch: 18 [8192/47500]	Loss: 0.2517	LR: 0.000800
Training Epoch: 18 [8448/47500]	Loss: 0.3025	LR: 0.000800
Training Epoch: 18 [8704/47500]	Loss: 0.2431	LR: 0.000800
Training Epoch: 18 [8960/47500]	Loss: 0.3017	LR: 0.000800
Training Epoch: 18 [9216/47500]	Loss: 0.3167	LR: 0.000800
Training Epoch: 18 [9472/47500]	Loss: 0.2581	LR: 0.000800
Training Epoch: 18 [9728/47500]	Loss: 0.2565	LR: 0.000800
Training Epoch: 18 [9984/47500]	Loss: 0.2264	LR: 0.000800
Training Epoch: 18 [10240/47500]	Loss: 0.2044	LR: 0.000800
Training Epoch: 18 [10496/47500]	Loss: 0.3178	LR: 0.000800
Training Epoch: 18 [10752/47500]	Loss: 0.2770	LR: 0.000800
Training Epoch: 18 [11008/47500]	Loss: 0.2905	LR: 0.000800
Training Epoch: 18 [11264/47500]	Loss: 0.2941	LR: 0.000800
Training Epoch: 18 [11520/47500]	Loss: 0.2623	LR: 0.000800
Training Epoch: 18 [11776/47500]	Loss: 0.2711	LR: 0.000800
Training Epoch: 18 [12032/47500]	Loss: 0.3517	LR: 0.000800
Training Epoch: 18 [12288/47500]	Loss: 0.2590	LR: 0.000800
Training Epoch: 18 [12544/47500]	Loss: 0.2389	LR: 0.000800
Training Epoch: 18 [12800/47500]	Loss: 0.2569	LR: 0.000800
Training Epoch: 18 [13056/47500]	Loss: 0.2108	LR: 0.000800
Training Epoch: 18 [13312/47500]	Loss: 0.2682	LR: 0.000800
Training Epoch: 18 [13568/47500]	Loss: 0.2720	LR: 0.000800
Training Epoch: 18 [13824/47500]	Loss: 0.2230	LR: 0.000800
Training Epoch: 18 [14080/47500]	Loss: 0.2307	LR: 0.000800
Training Epoch: 18 [14336/47500]	Loss: 0.3356	LR: 0.000800
Training Epoch: 18 [14592/47500]	Loss: 0.2768	LR: 0.000800
Training Epoch: 18 [14848/47500]	Loss: 0.2530	LR: 0.000800
Training Epoch: 18 [15104/47500]	Loss: 0.2550	LR: 0.000800
Training Epoch: 18 [15360/47500]	Loss: 0.2641	LR: 0.000800
Training Epoch: 18 [15616/47500]	Loss: 0.2731	LR: 0.000800
Training Epoch: 18 [15872/47500]	Loss: 0.2775	LR: 0.000800
Training Epoch: 18 [16128/47500]	Loss: 0.3060	LR: 0.000800
Training Epoch: 18 [16384/47500]	Loss: 0.2803	LR: 0.000800
Training Epoch: 18 [16640/47500]	Loss: 0.2652	LR: 0.000800
Training Epoch: 18 [16896/47500]	Loss: 0.2607	LR: 0.000800
Training Epoch: 18 [17152/47500]	Loss: 0.2828	LR: 0.000800
Training Epoch: 18 [17408/47500]	Loss: 0.2624	LR: 0.000800
Training Epoch: 18 [17664/47500]	Loss: 0.2691	LR: 0.000800
Training Epoch: 18 [17920/47500]	Loss: 0.2575	LR: 0.000800
Training Epoch: 18 [18176/47500]	Loss: 0.2410	LR: 0.000800
Training Epoch: 18 [18432/47500]	Loss: 0.3109	LR: 0.000800
Training Epoch: 18 [18688/47500]	Loss: 0.2580	LR: 0.000800
Training Epoch: 18 [18944/47500]	Loss: 0.3492	LR: 0.000800
Training Epoch: 18 [19200/47500]	Loss: 0.3111	LR: 0.000800
Training Epoch: 18 [19456/47500]	Loss: 0.2571	LR: 0.000800
Training Epoch: 18 [19712/47500]	Loss: 0.2669	LR: 0.000800
Training Epoch: 18 [19968/47500]	Loss: 0.2199	LR: 0.000800
Training Epoch: 18 [20224/47500]	Loss: 0.2781	LR: 0.000800
Training Epoch: 18 [20480/47500]	Loss: 0.2830	LR: 0.000800
Training Epoch: 18 [20736/47500]	Loss: 0.2142	LR: 0.000800
Training Epoch: 18 [20992/47500]	Loss: 0.2505	LR: 0.000800
Training Epoch: 18 [21248/47500]	Loss: 0.2554	LR: 0.000800
Training Epoch: 18 [21504/47500]	Loss: 0.3054	LR: 0.000800
Training Epoch: 18 [21760/47500]	Loss: 0.2621	LR: 0.000800
Training Epoch: 18 [22016/47500]	Loss: 0.1779	LR: 0.000800
Training Epoch: 18 [22272/47500]	Loss: 0.2086	LR: 0.000800
Training Epoch: 18 [22528/47500]	Loss: 0.4531	LR: 0.000800
Training Epoch: 18 [22784/47500]	Loss: 0.2594	LR: 0.000800
Training Epoch: 18 [23040/47500]	Loss: 0.2902	LR: 0.000800
Training Epoch: 18 [23296/47500]	Loss: 0.2718	LR: 0.000800
Training Epoch: 18 [23552/47500]	Loss: 0.2854	LR: 0.000800
Training Epoch: 18 [23808/47500]	Loss: 0.2969	LR: 0.000800
Training Epoch: 18 [24064/47500]	Loss: 0.3247	LR: 0.000800
Training Epoch: 18 [24320/47500]	Loss: 0.3206	LR: 0.000800
Training Epoch: 18 [24576/47500]	Loss: 0.2079	LR: 0.000800
Training Epoch: 18 [24832/47500]	Loss: 0.2075	LR: 0.000800
Training Epoch: 18 [25088/47500]	Loss: 0.2886	LR: 0.000800
Training Epoch: 18 [25344/47500]	Loss: 0.3103	LR: 0.000800
Training Epoch: 18 [25600/47500]	Loss: 0.2765	LR: 0.000800
Training Epoch: 18 [25856/47500]	Loss: 0.2698	LR: 0.000800
Training Epoch: 18 [26112/47500]	Loss: 0.2563	LR: 0.000800
Training Epoch: 18 [26368/47500]	Loss: 0.2712	LR: 0.000800
Training Epoch: 18 [26624/47500]	Loss: 0.2436	LR: 0.000800
Training Epoch: 18 [26880/47500]	Loss: 0.3150	LR: 0.000800
Training Epoch: 18 [27136/47500]	Loss: 0.2358	LR: 0.000800
Training Epoch: 18 [27392/47500]	Loss: 0.2862	LR: 0.000800
Training Epoch: 18 [27648/47500]	Loss: 0.2088	LR: 0.000800
Training Epoch: 18 [27904/47500]	Loss: 0.3726	LR: 0.000800
Training Epoch: 18 [28160/47500]	Loss: 0.3515	LR: 0.000800
Training Epoch: 18 [28416/47500]	Loss: 0.2713	LR: 0.000800
Training Epoch: 18 [28672/47500]	Loss: 0.2252	LR: 0.000800
Training Epoch: 18 [28928/47500]	Loss: 0.1963	LR: 0.000800
Training Epoch: 18 [29184/47500]	Loss: 0.2767	LR: 0.000800
Training Epoch: 18 [29440/47500]	Loss: 0.2510	LR: 0.000800
Training Epoch: 18 [29696/47500]	Loss: 0.3702	LR: 0.000800
Training Epoch: 18 [29952/47500]	Loss: 0.2172	LR: 0.000800
Training Epoch: 18 [30208/47500]	Loss: 0.3231	LR: 0.000800
Training Epoch: 18 [30464/47500]	Loss: 0.2928	LR: 0.000800
Training Epoch: 18 [30720/47500]	Loss: 0.2584	LR: 0.000800
Training Epoch: 18 [30976/47500]	Loss: 0.2922	LR: 0.000800
Training Epoch: 18 [31232/47500]	Loss: 0.2529	LR: 0.000800
Training Epoch: 18 [31488/47500]	Loss: 0.2573	LR: 0.000800
Training Epoch: 18 [31744/47500]	Loss: 0.3089	LR: 0.000800
Training Epoch: 18 [32000/47500]	Loss: 0.3793	LR: 0.000800
Training Epoch: 18 [32256/47500]	Loss: 0.3269	LR: 0.000800
Training Epoch: 18 [32512/47500]	Loss: 0.2859	LR: 0.000800
Training Epoch: 18 [32768/47500]	Loss: 0.2868	LR: 0.000800
Training Epoch: 18 [33024/47500]	Loss: 0.2363	LR: 0.000800
Training Epoch: 18 [33280/47500]	Loss: 0.2748	LR: 0.000800
Training Epoch: 18 [33536/47500]	Loss: 0.3042	LR: 0.000800
Training Epoch: 18 [33792/47500]	Loss: 0.2324	LR: 0.000800
Training Epoch: 18 [34048/47500]	Loss: 0.2980	LR: 0.000800
Training Epoch: 18 [34304/47500]	Loss: 0.2567	LR: 0.000800
Training Epoch: 18 [34560/47500]	Loss: 0.3079	LR: 0.000800
Training Epoch: 18 [34816/47500]	Loss: 0.2443	LR: 0.000800
Training Epoch: 18 [35072/47500]	Loss: 0.2989	LR: 0.000800
Training Epoch: 18 [35328/47500]	Loss: 0.2690	LR: 0.000800
Training Epoch: 18 [35584/47500]	Loss: 0.2568	LR: 0.000800
Training Epoch: 18 [35840/47500]	Loss: 0.2829	LR: 0.000800
Training Epoch: 18 [36096/47500]	Loss: 0.2502	LR: 0.000800
Training Epoch: 18 [36352/47500]	Loss: 0.2649	LR: 0.000800
Training Epoch: 18 [36608/47500]	Loss: 0.2262	LR: 0.000800
Training Epoch: 18 [36864/47500]	Loss: 0.2717	LR: 0.000800
Training Epoch: 18 [37120/47500]	Loss: 0.3291	LR: 0.000800
Training Epoch: 18 [37376/47500]	Loss: 0.2663	LR: 0.000800
Training Epoch: 18 [37632/47500]	Loss: 0.2552	LR: 0.000800
Training Epoch: 18 [37888/47500]	Loss: 0.2252	LR: 0.000800
Training Epoch: 18 [38144/47500]	Loss: 0.3542	LR: 0.000800
Training Epoch: 18 [38400/47500]	Loss: 0.2760	LR: 0.000800
Training Epoch: 18 [38656/47500]	Loss: 0.2606	LR: 0.000800
Training Epoch: 18 [38912/47500]	Loss: 0.1975	LR: 0.000800
Training Epoch: 18 [39168/47500]	Loss: 0.2743	LR: 0.000800
Training Epoch: 18 [39424/47500]	Loss: 0.2725	LR: 0.000800
Training Epoch: 18 [39680/47500]	Loss: 0.2261	LR: 0.000800
Training Epoch: 18 [39936/47500]	Loss: 0.2437	LR: 0.000800
Training Epoch: 18 [40192/47500]	Loss: 0.2845	LR: 0.000800
Training Epoch: 18 [40448/47500]	Loss: 0.3150	LR: 0.000800
Training Epoch: 18 [40704/47500]	Loss: 0.2367	LR: 0.000800
Training Epoch: 18 [40960/47500]	Loss: 0.2194	LR: 0.000800
Training Epoch: 18 [41216/47500]	Loss: 0.1926	LR: 0.000800
Training Epoch: 18 [41472/47500]	Loss: 0.2798	LR: 0.000800
Training Epoch: 18 [41728/47500]	Loss: 0.2976	LR: 0.000800
Training Epoch: 18 [41984/47500]	Loss: 0.2495	LR: 0.000800
Training Epoch: 18 [42240/47500]	Loss: 0.2967	LR: 0.000800
Training Epoch: 18 [42496/47500]	Loss: 0.2835	LR: 0.000800
Training Epoch: 18 [42752/47500]	Loss: 0.2794	LR: 0.000800
Training Epoch: 18 [43008/47500]	Loss: 0.3243	LR: 0.000800
Training Epoch: 18 [43264/47500]	Loss: 0.3187	LR: 0.000800
Training Epoch: 18 [43520/47500]	Loss: 0.4374	LR: 0.000800
Training Epoch: 18 [43776/47500]	Loss: 0.3370	LR: 0.000800
Training Epoch: 18 [44032/47500]	Loss: 0.2298	LR: 0.000800
Training Epoch: 18 [44288/47500]	Loss: 0.2731	LR: 0.000800
Training Epoch: 18 [44544/47500]	Loss: 0.2870	LR: 0.000800
Training Epoch: 18 [44800/47500]	Loss: 0.2678	LR: 0.000800
Training Epoch: 18 [45056/47500]	Loss: 0.1933	LR: 0.000800
Training Epoch: 18 [45312/47500]	Loss: 0.2722	LR: 0.000800
Training Epoch: 18 [45568/47500]	Loss: 0.2685	LR: 0.000800
Training Epoch: 18 [45824/47500]	Loss: 0.2239	LR: 0.000800
Training Epoch: 18 [46080/47500]	Loss: 0.2174	LR: 0.000800
Training Epoch: 18 [46336/47500]	Loss: 0.2893	LR: 0.000800
Training Epoch: 18 [46592/47500]	Loss: 0.2473	LR: 0.000800
Training Epoch: 18 [46848/47500]	Loss: 0.2720	LR: 0.000800
Training Epoch: 18 [47104/47500]	Loss: 0.3193	LR: 0.000800
Training Epoch: 18 [47360/47500]	Loss: 0.2868	LR: 0.000800
Training Epoch: 18 [47500/47500]	Loss: 0.2025	LR: 0.000800
Epoch 18 - Average Train Loss: 0.2732, Train Accuracy: 0.9043
Epoch 18 training time consumed: 29.12s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0013, Accuracy: 0.8926, Time consumed:0.99s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_13h_04m_21s/ResNet18-Cifar10-seed4-ret50-18-best.pth
Training Epoch: 19 [256/47500]	Loss: 0.2630	LR: 0.000800
Training Epoch: 19 [512/47500]	Loss: 0.2886	LR: 0.000800
Training Epoch: 19 [768/47500]	Loss: 0.2723	LR: 0.000800
Training Epoch: 19 [1024/47500]	Loss: 0.2398	LR: 0.000800
Training Epoch: 19 [1280/47500]	Loss: 0.4179	LR: 0.000800
Training Epoch: 19 [1536/47500]	Loss: 0.2774	LR: 0.000800
Training Epoch: 19 [1792/47500]	Loss: 0.3093	LR: 0.000800
Training Epoch: 19 [2048/47500]	Loss: 0.2618	LR: 0.000800
Training Epoch: 19 [2304/47500]	Loss: 0.2605	LR: 0.000800
Training Epoch: 19 [2560/47500]	Loss: 0.2584	LR: 0.000800
Training Epoch: 19 [2816/47500]	Loss: 0.2568	LR: 0.000800
Training Epoch: 19 [3072/47500]	Loss: 0.2776	LR: 0.000800
Training Epoch: 19 [3328/47500]	Loss: 0.2976	LR: 0.000800
Training Epoch: 19 [3584/47500]	Loss: 0.2260	LR: 0.000800
Training Epoch: 19 [3840/47500]	Loss: 0.3048	LR: 0.000800
Training Epoch: 19 [4096/47500]	Loss: 0.2934	LR: 0.000800
Training Epoch: 19 [4352/47500]	Loss: 0.2699	LR: 0.000800
Training Epoch: 19 [4608/47500]	Loss: 0.2625	LR: 0.000800
Training Epoch: 19 [4864/47500]	Loss: 0.3783	LR: 0.000800
Training Epoch: 19 [5120/47500]	Loss: 0.2066	LR: 0.000800
Training Epoch: 19 [5376/47500]	Loss: 0.2832	LR: 0.000800
Training Epoch: 19 [5632/47500]	Loss: 0.2867	LR: 0.000800
Training Epoch: 19 [5888/47500]	Loss: 0.1885	LR: 0.000800
Training Epoch: 19 [6144/47500]	Loss: 0.2241	LR: 0.000800
Training Epoch: 19 [6400/47500]	Loss: 0.2519	LR: 0.000800
Training Epoch: 19 [6656/47500]	Loss: 0.1642	LR: 0.000800
Training Epoch: 19 [6912/47500]	Loss: 0.2644	LR: 0.000800
Training Epoch: 19 [7168/47500]	Loss: 0.2307	LR: 0.000800
Training Epoch: 19 [7424/47500]	Loss: 0.2804	LR: 0.000800
Training Epoch: 19 [7680/47500]	Loss: 0.2954	LR: 0.000800
Training Epoch: 19 [7936/47500]	Loss: 0.3989	LR: 0.000800
Training Epoch: 19 [8192/47500]	Loss: 0.2566	LR: 0.000800
Training Epoch: 19 [8448/47500]	Loss: 0.2740	LR: 0.000800
Training Epoch: 19 [8704/47500]	Loss: 0.2305	LR: 0.000800
Training Epoch: 19 [8960/47500]	Loss: 0.3165	LR: 0.000800
Training Epoch: 19 [9216/47500]	Loss: 0.2569	LR: 0.000800
Training Epoch: 19 [9472/47500]	Loss: 0.2504	LR: 0.000800
Training Epoch: 19 [9728/47500]	Loss: 0.2860	LR: 0.000800
Training Epoch: 19 [9984/47500]	Loss: 0.2992	LR: 0.000800
Training Epoch: 19 [10240/47500]	Loss: 0.2919	LR: 0.000800
Training Epoch: 19 [10496/47500]	Loss: 0.2763	LR: 0.000800
Training Epoch: 19 [10752/47500]	Loss: 0.2783	LR: 0.000800
Training Epoch: 19 [11008/47500]	Loss: 0.1869	LR: 0.000800
Training Epoch: 19 [11264/47500]	Loss: 0.2121	LR: 0.000800
Training Epoch: 19 [11520/47500]	Loss: 0.2949	LR: 0.000800
Training Epoch: 19 [11776/47500]	Loss: 0.2661	LR: 0.000800
Training Epoch: 19 [12032/47500]	Loss: 0.2892	LR: 0.000800
Training Epoch: 19 [12288/47500]	Loss: 0.2790	LR: 0.000800
Training Epoch: 19 [12544/47500]	Loss: 0.2761	LR: 0.000800
Training Epoch: 19 [12800/47500]	Loss: 0.3491	LR: 0.000800
Training Epoch: 19 [13056/47500]	Loss: 0.3243	LR: 0.000800
Training Epoch: 19 [13312/47500]	Loss: 0.2470	LR: 0.000800
Training Epoch: 19 [13568/47500]	Loss: 0.2948	LR: 0.000800
Training Epoch: 19 [13824/47500]	Loss: 0.2366	LR: 0.000800
Training Epoch: 19 [14080/47500]	Loss: 0.2850	LR: 0.000800
Training Epoch: 19 [14336/47500]	Loss: 0.2374	LR: 0.000800
Training Epoch: 19 [14592/47500]	Loss: 0.2756	LR: 0.000800
Training Epoch: 19 [14848/47500]	Loss: 0.2967	LR: 0.000800
Training Epoch: 19 [15104/47500]	Loss: 0.2398	LR: 0.000800
Training Epoch: 19 [15360/47500]	Loss: 0.2777	LR: 0.000800
Training Epoch: 19 [15616/47500]	Loss: 0.2676	LR: 0.000800
Training Epoch: 19 [15872/47500]	Loss: 0.2615	LR: 0.000800
Training Epoch: 19 [16128/47500]	Loss: 0.2106	LR: 0.000800
Training Epoch: 19 [16384/47500]	Loss: 0.2454	LR: 0.000800
Training Epoch: 19 [16640/47500]	Loss: 0.3361	LR: 0.000800
Training Epoch: 19 [16896/47500]	Loss: 0.2410	LR: 0.000800
Training Epoch: 19 [17152/47500]	Loss: 0.2558	LR: 0.000800
Training Epoch: 19 [17408/47500]	Loss: 0.2362	LR: 0.000800
Training Epoch: 19 [17664/47500]	Loss: 0.2265	LR: 0.000800
Training Epoch: 19 [17920/47500]	Loss: 0.2157	LR: 0.000800
Training Epoch: 19 [18176/47500]	Loss: 0.3646	LR: 0.000800
Training Epoch: 19 [18432/47500]	Loss: 0.2577	LR: 0.000800
Training Epoch: 19 [18688/47500]	Loss: 0.3190	LR: 0.000800
Training Epoch: 19 [18944/47500]	Loss: 0.2283	LR: 0.000800
Training Epoch: 19 [19200/47500]	Loss: 0.2026	LR: 0.000800
Training Epoch: 19 [19456/47500]	Loss: 0.3336	LR: 0.000800
Training Epoch: 19 [19712/47500]	Loss: 0.2146	LR: 0.000800
Training Epoch: 19 [19968/47500]	Loss: 0.2796	LR: 0.000800
Training Epoch: 19 [20224/47500]	Loss: 0.3127	LR: 0.000800
Training Epoch: 19 [20480/47500]	Loss: 0.2759	LR: 0.000800
Training Epoch: 19 [20736/47500]	Loss: 0.2255	LR: 0.000800
Training Epoch: 19 [20992/47500]	Loss: 0.2907	LR: 0.000800
Training Epoch: 19 [21248/47500]	Loss: 0.2947	LR: 0.000800
Training Epoch: 19 [21504/47500]	Loss: 0.3135	LR: 0.000800
Training Epoch: 19 [21760/47500]	Loss: 0.2644	LR: 0.000800
Training Epoch: 19 [22016/47500]	Loss: 0.2314	LR: 0.000800
Training Epoch: 19 [22272/47500]	Loss: 0.2972	LR: 0.000800
Training Epoch: 19 [22528/47500]	Loss: 0.2833	LR: 0.000800
Training Epoch: 19 [22784/47500]	Loss: 0.2273	LR: 0.000800
Training Epoch: 19 [23040/47500]	Loss: 0.2147	LR: 0.000800
Training Epoch: 19 [23296/47500]	Loss: 0.2355	LR: 0.000800
Training Epoch: 19 [23552/47500]	Loss: 0.2441	LR: 0.000800
Training Epoch: 19 [23808/47500]	Loss: 0.2971	LR: 0.000800
Training Epoch: 19 [24064/47500]	Loss: 0.3718	LR: 0.000800
Training Epoch: 19 [24320/47500]	Loss: 0.3024	LR: 0.000800
Training Epoch: 19 [24576/47500]	Loss: 0.2532	LR: 0.000800
Training Epoch: 19 [24832/47500]	Loss: 0.2719	LR: 0.000800
Training Epoch: 19 [25088/47500]	Loss: 0.2813	LR: 0.000800
Training Epoch: 19 [25344/47500]	Loss: 0.2155	LR: 0.000800
Training Epoch: 19 [25600/47500]	Loss: 0.2573	LR: 0.000800
Training Epoch: 19 [25856/47500]	Loss: 0.2849	LR: 0.000800
Training Epoch: 19 [26112/47500]	Loss: 0.3031	LR: 0.000800
Training Epoch: 19 [26368/47500]	Loss: 0.3760	LR: 0.000800
Training Epoch: 19 [26624/47500]	Loss: 0.2718	LR: 0.000800
Training Epoch: 19 [26880/47500]	Loss: 0.2332	LR: 0.000800
Training Epoch: 19 [27136/47500]	Loss: 0.2173	LR: 0.000800
Training Epoch: 19 [27392/47500]	Loss: 0.2497	LR: 0.000800
Training Epoch: 19 [27648/47500]	Loss: 0.2409	LR: 0.000800
Training Epoch: 19 [27904/47500]	Loss: 0.2560	LR: 0.000800
Training Epoch: 19 [28160/47500]	Loss: 0.2659	LR: 0.000800
Training Epoch: 19 [28416/47500]	Loss: 0.3218	LR: 0.000800
Training Epoch: 19 [28672/47500]	Loss: 0.2687	LR: 0.000800
Training Epoch: 19 [28928/47500]	Loss: 0.2379	LR: 0.000800
Training Epoch: 19 [29184/47500]	Loss: 0.2484	LR: 0.000800
Training Epoch: 19 [29440/47500]	Loss: 0.3131	LR: 0.000800
Training Epoch: 19 [29696/47500]	Loss: 0.2844	LR: 0.000800
Training Epoch: 19 [29952/47500]	Loss: 0.2291	LR: 0.000800
Training Epoch: 19 [30208/47500]	Loss: 0.2379	LR: 0.000800
Training Epoch: 19 [30464/47500]	Loss: 0.2364	LR: 0.000800
Training Epoch: 19 [30720/47500]	Loss: 0.2455	LR: 0.000800
Training Epoch: 19 [30976/47500]	Loss: 0.3606	LR: 0.000800
Training Epoch: 19 [31232/47500]	Loss: 0.2522	LR: 0.000800
Training Epoch: 19 [31488/47500]	Loss: 0.3442	LR: 0.000800
Training Epoch: 19 [31744/47500]	Loss: 0.1750	LR: 0.000800
Training Epoch: 19 [32000/47500]	Loss: 0.2702	LR: 0.000800
Training Epoch: 19 [32256/47500]	Loss: 0.2892	LR: 0.000800
Training Epoch: 19 [32512/47500]	Loss: 0.2326	LR: 0.000800
Training Epoch: 19 [32768/47500]	Loss: 0.2269	LR: 0.000800
Training Epoch: 19 [33024/47500]	Loss: 0.3223	LR: 0.000800
Training Epoch: 19 [33280/47500]	Loss: 0.2221	LR: 0.000800
Training Epoch: 19 [33536/47500]	Loss: 0.3020	LR: 0.000800
Training Epoch: 19 [33792/47500]	Loss: 0.2708	LR: 0.000800
Training Epoch: 19 [34048/47500]	Loss: 0.2470	LR: 0.000800
Training Epoch: 19 [34304/47500]	Loss: 0.2972	LR: 0.000800
Training Epoch: 19 [34560/47500]	Loss: 0.3179	LR: 0.000800
Training Epoch: 19 [34816/47500]	Loss: 0.3001	LR: 0.000800
Training Epoch: 19 [35072/47500]	Loss: 0.3674	LR: 0.000800
Training Epoch: 19 [35328/47500]	Loss: 0.2499	LR: 0.000800
Training Epoch: 19 [35584/47500]	Loss: 0.2722	LR: 0.000800
Training Epoch: 19 [35840/47500]	Loss: 0.3009	LR: 0.000800
Training Epoch: 19 [36096/47500]	Loss: 0.2751	LR: 0.000800
Training Epoch: 19 [36352/47500]	Loss: 0.2266	LR: 0.000800
Training Epoch: 19 [36608/47500]	Loss: 0.2930	LR: 0.000800
Training Epoch: 19 [36864/47500]	Loss: 0.2362	LR: 0.000800
Training Epoch: 19 [37120/47500]	Loss: 0.2341	LR: 0.000800
Training Epoch: 19 [37376/47500]	Loss: 0.2850	LR: 0.000800
Training Epoch: 19 [37632/47500]	Loss: 0.2309	LR: 0.000800
Training Epoch: 19 [37888/47500]	Loss: 0.2335	LR: 0.000800
Training Epoch: 19 [38144/47500]	Loss: 0.2763	LR: 0.000800
Training Epoch: 19 [38400/47500]	Loss: 0.2920	LR: 0.000800
Training Epoch: 19 [38656/47500]	Loss: 0.3438	LR: 0.000800
Training Epoch: 19 [38912/47500]	Loss: 0.2315	LR: 0.000800
Training Epoch: 19 [39168/47500]	Loss: 0.3042	LR: 0.000800
Training Epoch: 19 [39424/47500]	Loss: 0.2763	LR: 0.000800
Training Epoch: 19 [39680/47500]	Loss: 0.3305	LR: 0.000800
Training Epoch: 19 [39936/47500]	Loss: 0.2779	LR: 0.000800
Training Epoch: 19 [40192/47500]	Loss: 0.2117	LR: 0.000800
Training Epoch: 19 [40448/47500]	Loss: 0.3410	LR: 0.000800
Training Epoch: 19 [40704/47500]	Loss: 0.2131	LR: 0.000800
Training Epoch: 19 [40960/47500]	Loss: 0.2499	LR: 0.000800
Training Epoch: 19 [41216/47500]	Loss: 0.2586	LR: 0.000800
Training Epoch: 19 [41472/47500]	Loss: 0.2681	LR: 0.000800
Training Epoch: 19 [41728/47500]	Loss: 0.2734	LR: 0.000800
Training Epoch: 19 [41984/47500]	Loss: 0.2085	LR: 0.000800
Training Epoch: 19 [42240/47500]	Loss: 0.3171	LR: 0.000800
Training Epoch: 19 [42496/47500]	Loss: 0.2212	LR: 0.000800
Training Epoch: 19 [42752/47500]	Loss: 0.2793	LR: 0.000800
Training Epoch: 19 [43008/47500]	Loss: 0.2320	LR: 0.000800
Training Epoch: 19 [43264/47500]	Loss: 0.2621	LR: 0.000800
Training Epoch: 19 [43520/47500]	Loss: 0.2719	LR: 0.000800
Training Epoch: 19 [43776/47500]	Loss: 0.1610	LR: 0.000800
Training Epoch: 19 [44032/47500]	Loss: 0.2485	LR: 0.000800
Training Epoch: 19 [44288/47500]	Loss: 0.3266	LR: 0.000800
Training Epoch: 19 [44544/47500]	Loss: 0.2720	LR: 0.000800
Training Epoch: 19 [44800/47500]	Loss: 0.2859	LR: 0.000800
Training Epoch: 19 [45056/47500]	Loss: 0.2587	LR: 0.000800
Training Epoch: 19 [45312/47500]	Loss: 0.2722	LR: 0.000800
Training Epoch: 19 [45568/47500]	Loss: 0.2410	LR: 0.000800
Training Epoch: 19 [45824/47500]	Loss: 0.3953	LR: 0.000800
Training Epoch: 19 [46080/47500]	Loss: 0.2960	LR: 0.000800
Training Epoch: 19 [46336/47500]	Loss: 0.2615	LR: 0.000800
Training Epoch: 19 [46592/47500]	Loss: 0.2375	LR: 0.000800
Training Epoch: 19 [46848/47500]	Loss: 0.2251	LR: 0.000800
Training Epoch: 19 [47104/47500]	Loss: 0.3383	LR: 0.000800
Training Epoch: 19 [47360/47500]	Loss: 0.1966	LR: 0.000800
Training Epoch: 19 [47500/47500]	Loss: 0.3740	LR: 0.000800
Epoch 19 - Average Train Loss: 0.2703, Train Accuracy: 0.9058
Epoch 19 training time consumed: 29.35s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0013, Accuracy: 0.8921, Time consumed:1.00s
Training Epoch: 20 [256/47500]	Loss: 0.3162	LR: 0.000800
Training Epoch: 20 [512/47500]	Loss: 0.2443	LR: 0.000800
Training Epoch: 20 [768/47500]	Loss: 0.3005	LR: 0.000800
Training Epoch: 20 [1024/47500]	Loss: 0.2244	LR: 0.000800
Training Epoch: 20 [1280/47500]	Loss: 0.2808	LR: 0.000800
Training Epoch: 20 [1536/47500]	Loss: 0.3181	LR: 0.000800
Training Epoch: 20 [1792/47500]	Loss: 0.2596	LR: 0.000800
Training Epoch: 20 [2048/47500]	Loss: 0.2468	LR: 0.000800
Training Epoch: 20 [2304/47500]	Loss: 0.2424	LR: 0.000800
Training Epoch: 20 [2560/47500]	Loss: 0.2994	LR: 0.000800
Training Epoch: 20 [2816/47500]	Loss: 0.3003	LR: 0.000800
Training Epoch: 20 [3072/47500]	Loss: 0.2945	LR: 0.000800
Training Epoch: 20 [3328/47500]	Loss: 0.2697	LR: 0.000800
Training Epoch: 20 [3584/47500]	Loss: 0.2292	LR: 0.000800
Training Epoch: 20 [3840/47500]	Loss: 0.2821	LR: 0.000800
Training Epoch: 20 [4096/47500]	Loss: 0.3051	LR: 0.000800
Training Epoch: 20 [4352/47500]	Loss: 0.2468	LR: 0.000800
Training Epoch: 20 [4608/47500]	Loss: 0.1656	LR: 0.000800
Training Epoch: 20 [4864/47500]	Loss: 0.3094	LR: 0.000800
Training Epoch: 20 [5120/47500]	Loss: 0.2149	LR: 0.000800
Training Epoch: 20 [5376/47500]	Loss: 0.2536	LR: 0.000800
Training Epoch: 20 [5632/47500]	Loss: 0.2774	LR: 0.000800
Training Epoch: 20 [5888/47500]	Loss: 0.3051	LR: 0.000800
Training Epoch: 20 [6144/47500]	Loss: 0.2969	LR: 0.000800
Training Epoch: 20 [6400/47500]	Loss: 0.2596	LR: 0.000800
Training Epoch: 20 [6656/47500]	Loss: 0.2572	LR: 0.000800
Training Epoch: 20 [6912/47500]	Loss: 0.3331	LR: 0.000800
Training Epoch: 20 [7168/47500]	Loss: 0.2791	LR: 0.000800
Training Epoch: 20 [7424/47500]	Loss: 0.2374	LR: 0.000800
Training Epoch: 20 [7680/47500]	Loss: 0.3638	LR: 0.000800
Training Epoch: 20 [7936/47500]	Loss: 0.2799	LR: 0.000800
Training Epoch: 20 [8192/47500]	Loss: 0.2190	LR: 0.000800
Training Epoch: 20 [8448/47500]	Loss: 0.3047	LR: 0.000800
Training Epoch: 20 [8704/47500]	Loss: 0.2271	LR: 0.000800
Training Epoch: 20 [8960/47500]	Loss: 0.2879	LR: 0.000800
Training Epoch: 20 [9216/47500]	Loss: 0.2763	LR: 0.000800
Training Epoch: 20 [9472/47500]	Loss: 0.3167	LR: 0.000800
Training Epoch: 20 [9728/47500]	Loss: 0.3128	LR: 0.000800
Training Epoch: 20 [9984/47500]	Loss: 0.2467	LR: 0.000800
Training Epoch: 20 [10240/47500]	Loss: 0.2032	LR: 0.000800
Training Epoch: 20 [10496/47500]	Loss: 0.2696	LR: 0.000800
Training Epoch: 20 [10752/47500]	Loss: 0.2606	LR: 0.000800
Training Epoch: 20 [11008/47500]	Loss: 0.2762	LR: 0.000800
Training Epoch: 20 [11264/47500]	Loss: 0.2491	LR: 0.000800
Training Epoch: 20 [11520/47500]	Loss: 0.2389	LR: 0.000800
Training Epoch: 20 [11776/47500]	Loss: 0.1927	LR: 0.000800
Training Epoch: 20 [12032/47500]	Loss: 0.2449	LR: 0.000800
Training Epoch: 20 [12288/47500]	Loss: 0.2480	LR: 0.000800
Training Epoch: 20 [12544/47500]	Loss: 0.3129	LR: 0.000800
Training Epoch: 20 [12800/47500]	Loss: 0.2736	LR: 0.000800
Training Epoch: 20 [13056/47500]	Loss: 0.3418	LR: 0.000800
Training Epoch: 20 [13312/47500]	Loss: 0.2236	LR: 0.000800
Training Epoch: 20 [13568/47500]	Loss: 0.2960	LR: 0.000800
Training Epoch: 20 [13824/47500]	Loss: 0.2247	LR: 0.000800
Training Epoch: 20 [14080/47500]	Loss: 0.3605	LR: 0.000800
Training Epoch: 20 [14336/47500]	Loss: 0.2627	LR: 0.000800
Training Epoch: 20 [14592/47500]	Loss: 0.2793	LR: 0.000800
Training Epoch: 20 [14848/47500]	Loss: 0.2378	LR: 0.000800
Training Epoch: 20 [15104/47500]	Loss: 0.2910	LR: 0.000800
Training Epoch: 20 [15360/47500]	Loss: 0.2138	LR: 0.000800
Training Epoch: 20 [15616/47500]	Loss: 0.2878	LR: 0.000800
Training Epoch: 20 [15872/47500]	Loss: 0.2469	LR: 0.000800
Training Epoch: 20 [16128/47500]	Loss: 0.2855	LR: 0.000800
Training Epoch: 20 [16384/47500]	Loss: 0.2540	LR: 0.000800
Training Epoch: 20 [16640/47500]	Loss: 0.3161	LR: 0.000800
Training Epoch: 20 [16896/47500]	Loss: 0.1590	LR: 0.000800
Training Epoch: 20 [17152/47500]	Loss: 0.2893	LR: 0.000800
Training Epoch: 20 [17408/47500]	Loss: 0.2265	LR: 0.000800
Training Epoch: 20 [17664/47500]	Loss: 0.3207	LR: 0.000800
Training Epoch: 20 [17920/47500]	Loss: 0.3400	LR: 0.000800
Training Epoch: 20 [18176/47500]	Loss: 0.1875	LR: 0.000800
Training Epoch: 20 [18432/47500]	Loss: 0.2237	LR: 0.000800
Training Epoch: 20 [18688/47500]	Loss: 0.2508	LR: 0.000800
Training Epoch: 20 [18944/47500]	Loss: 0.3017	LR: 0.000800
Training Epoch: 20 [19200/47500]	Loss: 0.2880	LR: 0.000800
Training Epoch: 20 [19456/47500]	Loss: 0.2373	LR: 0.000800
Training Epoch: 20 [19712/47500]	Loss: 0.3086	LR: 0.000800
Training Epoch: 20 [19968/47500]	Loss: 0.2016	LR: 0.000800
Training Epoch: 20 [20224/47500]	Loss: 0.2835	LR: 0.000800
Training Epoch: 20 [20480/47500]	Loss: 0.2590	LR: 0.000800
Training Epoch: 20 [20736/47500]	Loss: 0.3187	LR: 0.000800
Training Epoch: 20 [20992/47500]	Loss: 0.2219	LR: 0.000800
Training Epoch: 20 [21248/47500]	Loss: 0.2231	LR: 0.000800
Training Epoch: 20 [21504/47500]	Loss: 0.2031	LR: 0.000800
Training Epoch: 20 [21760/47500]	Loss: 0.3040	LR: 0.000800
Training Epoch: 20 [22016/47500]	Loss: 0.2229	LR: 0.000800
Training Epoch: 20 [22272/47500]	Loss: 0.2494	LR: 0.000800
Training Epoch: 20 [22528/47500]	Loss: 0.2581	LR: 0.000800
Training Epoch: 20 [22784/47500]	Loss: 0.2328	LR: 0.000800
Training Epoch: 20 [23040/47500]	Loss: 0.2997	LR: 0.000800
Training Epoch: 20 [23296/47500]	Loss: 0.2845	LR: 0.000800
Training Epoch: 20 [23552/47500]	Loss: 0.2253	LR: 0.000800
Training Epoch: 20 [23808/47500]	Loss: 0.3028	LR: 0.000800
Training Epoch: 20 [24064/47500]	Loss: 0.3077	LR: 0.000800
Training Epoch: 20 [24320/47500]	Loss: 0.2189	LR: 0.000800
Training Epoch: 20 [24576/47500]	Loss: 0.2545	LR: 0.000800
Training Epoch: 20 [24832/47500]	Loss: 0.2681	LR: 0.000800
Training Epoch: 20 [25088/47500]	Loss: 0.2949	LR: 0.000800
Training Epoch: 20 [25344/47500]	Loss: 0.2036	LR: 0.000800
Training Epoch: 20 [25600/47500]	Loss: 0.2416	LR: 0.000800
Training Epoch: 20 [25856/47500]	Loss: 0.2491	LR: 0.000800
Training Epoch: 20 [26112/47500]	Loss: 0.2670	LR: 0.000800
Training Epoch: 20 [26368/47500]	Loss: 0.2580	LR: 0.000800
Training Epoch: 20 [26624/47500]	Loss: 0.3200	LR: 0.000800
Training Epoch: 20 [26880/47500]	Loss: 0.2584	LR: 0.000800
Training Epoch: 20 [27136/47500]	Loss: 0.3080	LR: 0.000800
Training Epoch: 20 [27392/47500]	Loss: 0.2716	LR: 0.000800
Training Epoch: 20 [27648/47500]	Loss: 0.2250	LR: 0.000800
Training Epoch: 20 [27904/47500]	Loss: 0.2469	LR: 0.000800
Training Epoch: 20 [28160/47500]	Loss: 0.2909	LR: 0.000800
Training Epoch: 20 [28416/47500]	Loss: 0.2272	LR: 0.000800
Training Epoch: 20 [28672/47500]	Loss: 0.3037	LR: 0.000800
Training Epoch: 20 [28928/47500]	Loss: 0.2392	LR: 0.000800
Training Epoch: 20 [29184/47500]	Loss: 0.2543	LR: 0.000800
Training Epoch: 20 [29440/47500]	Loss: 0.2247	LR: 0.000800
Training Epoch: 20 [29696/47500]	Loss: 0.2897	LR: 0.000800
Training Epoch: 20 [29952/47500]	Loss: 0.3285	LR: 0.000800
Training Epoch: 20 [30208/47500]	Loss: 0.2844	LR: 0.000800
Training Epoch: 20 [30464/47500]	Loss: 0.2886	LR: 0.000800
Training Epoch: 20 [30720/47500]	Loss: 0.3292	LR: 0.000800
Training Epoch: 20 [30976/47500]	Loss: 0.2688	LR: 0.000800
Training Epoch: 20 [31232/47500]	Loss: 0.2493	LR: 0.000800
Training Epoch: 20 [31488/47500]	Loss: 0.2954	LR: 0.000800
Training Epoch: 20 [31744/47500]	Loss: 0.2653	LR: 0.000800
Training Epoch: 20 [32000/47500]	Loss: 0.2544	LR: 0.000800
Training Epoch: 20 [32256/47500]	Loss: 0.2186	LR: 0.000800
Training Epoch: 20 [32512/47500]	Loss: 0.3075	LR: 0.000800
Training Epoch: 20 [32768/47500]	Loss: 0.3225	LR: 0.000800
Training Epoch: 20 [33024/47500]	Loss: 0.2545	LR: 0.000800
Training Epoch: 20 [33280/47500]	Loss: 0.2584	LR: 0.000800
Training Epoch: 20 [33536/47500]	Loss: 0.2937	LR: 0.000800
Training Epoch: 20 [33792/47500]	Loss: 0.1849	LR: 0.000800
Training Epoch: 20 [34048/47500]	Loss: 0.2582	LR: 0.000800
Training Epoch: 20 [34304/47500]	Loss: 0.2722	LR: 0.000800
Training Epoch: 20 [34560/47500]	Loss: 0.2878	LR: 0.000800
Training Epoch: 20 [34816/47500]	Loss: 0.3116	LR: 0.000800
Training Epoch: 20 [35072/47500]	Loss: 0.2036	LR: 0.000800
Training Epoch: 20 [35328/47500]	Loss: 0.2965	LR: 0.000800
Training Epoch: 20 [35584/47500]	Loss: 0.2624	LR: 0.000800
Training Epoch: 20 [35840/47500]	Loss: 0.2554	LR: 0.000800
Training Epoch: 20 [36096/47500]	Loss: 0.2686	LR: 0.000800
Training Epoch: 20 [36352/47500]	Loss: 0.2845	LR: 0.000800
Training Epoch: 20 [36608/47500]	Loss: 0.2368	LR: 0.000800
Training Epoch: 20 [36864/47500]	Loss: 0.2168	LR: 0.000800
Training Epoch: 20 [37120/47500]	Loss: 0.3259	LR: 0.000800
Training Epoch: 20 [37376/47500]	Loss: 0.2274	LR: 0.000800
Training Epoch: 20 [37632/47500]	Loss: 0.3213	LR: 0.000800
Training Epoch: 20 [37888/47500]	Loss: 0.2667	LR: 0.000800
Training Epoch: 20 [38144/47500]	Loss: 0.2779	LR: 0.000800
Training Epoch: 20 [38400/47500]	Loss: 0.3170	LR: 0.000800
Training Epoch: 20 [38656/47500]	Loss: 0.2743	LR: 0.000800
Training Epoch: 20 [38912/47500]	Loss: 0.2093	LR: 0.000800
Training Epoch: 20 [39168/47500]	Loss: 0.2145	LR: 0.000800
Training Epoch: 20 [39424/47500]	Loss: 0.2881	LR: 0.000800
Training Epoch: 20 [39680/47500]	Loss: 0.1818	LR: 0.000800
Training Epoch: 20 [39936/47500]	Loss: 0.2505	LR: 0.000800
Training Epoch: 20 [40192/47500]	Loss: 0.1919	LR: 0.000800
Training Epoch: 20 [40448/47500]	Loss: 0.2702	LR: 0.000800
Training Epoch: 20 [40704/47500]	Loss: 0.3305	LR: 0.000800
Training Epoch: 20 [40960/47500]	Loss: 0.2255	LR: 0.000800
Training Epoch: 20 [41216/47500]	Loss: 0.2394	LR: 0.000800
Training Epoch: 20 [41472/47500]	Loss: 0.2495	LR: 0.000800
Training Epoch: 20 [41728/47500]	Loss: 0.2356	LR: 0.000800
Training Epoch: 20 [41984/47500]	Loss: 0.2258	LR: 0.000800
Training Epoch: 20 [42240/47500]	Loss: 0.2664	LR: 0.000800
Training Epoch: 20 [42496/47500]	Loss: 0.2813	LR: 0.000800
Training Epoch: 20 [42752/47500]	Loss: 0.2325	LR: 0.000800
Training Epoch: 20 [43008/47500]	Loss: 0.2769	LR: 0.000800
Training Epoch: 20 [43264/47500]	Loss: 0.3295	LR: 0.000800
Training Epoch: 20 [43520/47500]	Loss: 0.2450	LR: 0.000800
Training Epoch: 20 [43776/47500]	Loss: 0.3031	LR: 0.000800
Training Epoch: 20 [44032/47500]	Loss: 0.2544	LR: 0.000800
Training Epoch: 20 [44288/47500]	Loss: 0.3171	LR: 0.000800
Training Epoch: 20 [44544/47500]	Loss: 0.2492	LR: 0.000800
Training Epoch: 20 [44800/47500]	Loss: 0.2046	LR: 0.000800
Training Epoch: 20 [45056/47500]	Loss: 0.2683	LR: 0.000800
Training Epoch: 20 [45312/47500]	Loss: 0.3304	LR: 0.000800
Training Epoch: 20 [45568/47500]	Loss: 0.3135	LR: 0.000800
Training Epoch: 20 [45824/47500]	Loss: 0.3476	LR: 0.000800
Training Epoch: 20 [46080/47500]	Loss: 0.3252	LR: 0.000800
Training Epoch: 20 [46336/47500]	Loss: 0.1981	LR: 0.000800
Training Epoch: 20 [46592/47500]	Loss: 0.2433	LR: 0.000800
Training Epoch: 20 [46848/47500]	Loss: 0.2806	LR: 0.000800
Training Epoch: 20 [47104/47500]	Loss: 0.2397	LR: 0.000800
Training Epoch: 20 [47360/47500]	Loss: 0.3573	LR: 0.000800
Training Epoch: 20 [47500/47500]	Loss: 0.3575	LR: 0.000800
Epoch 20 - Average Train Loss: 0.2671, Train Accuracy: 0.9057
Epoch 20 training time consumed: 29.17s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0013, Accuracy: 0.8924, Time consumed:0.97s
Valid (Test) Dl:  10000
Train Dl:  50000
Retain Train Dl:  47500
Forget Train Dl:  2500
Retain Valid Dl:  47500
Forget Valid Dl:  2500
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 2500 samples
Set1 Distribution: 2500 samples
Set2 Distribution: 2500 samples
MIA Attack Accuracy with XGBoost: 0.7380
Set1 Distribution: 2500 samples
Set2 Distribution: 2500 samples
MIA Attack Accuracy with XGBoost: 0.5010
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
MIA Attack Accuracy with XGBoost: 0.6570
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
MIA Attack Accuracy with XGBoost: 0.5105
Test Accuracy: 91.552734375
Retain Accuracy: 94.06124114990234
Zero-Retain Forget (ZRF): 0.8252354860305786
Membership Inference Attack (MIA): 0.7016
Forget vs Retain Membership Inference Attack (MIA): 0.738
Forget vs Test Membership Inference Attack (MIA): 0.501
Test vs Retain Membership Inference Attack (MIA): 0.657
Train vs Test Membership Inference Attack (MIA): 0.5105
Forget Set Accuracy (Df): 94.51929473876953
Method Execution Time: 2521.89 seconds
