
Retain class distribution for seed 7:
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 7:
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: 4625
  Class 1: 4625
  Class 2: 4625
  Class 3: 4625
  Class 4: 4625
  Class 5: 4625
  Class 6: 4625
  Class 7: 4625
  Class 8: 4625
  Class 9: 4625
Forget set:
  Class 0: 375
  Class 1: 375
  Class 2: 375
  Class 3: 375
  Class 4: 375
  Class 5: 375
  Class 6: 375
  Class 7: 375
  Class 8: 375
  Class 9: 375
⚠️ Warning: Retain train loader may not be shuffled.
Training Epoch: 1 [256/46250]	Loss: 2.4502	LR: 0.000000
Training Epoch: 1 [512/46250]	Loss: 2.4096	LR: 0.000552
Training Epoch: 1 [768/46250]	Loss: 2.3740	LR: 0.001105
Training Epoch: 1 [1024/46250]	Loss: 2.3684	LR: 0.001657
Training Epoch: 1 [1280/46250]	Loss: 2.3744	LR: 0.002210
Training Epoch: 1 [1536/46250]	Loss: 2.2680	LR: 0.002762
Training Epoch: 1 [1792/46250]	Loss: 2.2502	LR: 0.003315
Training Epoch: 1 [2048/46250]	Loss: 2.2627	LR: 0.003867
Training Epoch: 1 [2304/46250]	Loss: 2.2403	LR: 0.004420
Training Epoch: 1 [2560/46250]	Loss: 2.3250	LR: 0.004972
Training Epoch: 1 [2816/46250]	Loss: 2.3452	LR: 0.005525
Training Epoch: 1 [3072/46250]	Loss: 2.3385	LR: 0.006077
Training Epoch: 1 [3328/46250]	Loss: 2.1273	LR: 0.006630
Training Epoch: 1 [3584/46250]	Loss: 2.1660	LR: 0.007182
Training Epoch: 1 [3840/46250]	Loss: 2.0065	LR: 0.007735
Training Epoch: 1 [4096/46250]	Loss: 2.0445	LR: 0.008287
Training Epoch: 1 [4352/46250]	Loss: 1.9847	LR: 0.008840
Training Epoch: 1 [4608/46250]	Loss: 2.1171	LR: 0.009392
Training Epoch: 1 [4864/46250]	Loss: 2.0017	LR: 0.009945
Training Epoch: 1 [5120/46250]	Loss: 1.9228	LR: 0.010497
Training Epoch: 1 [5376/46250]	Loss: 2.0146	LR: 0.011050
Training Epoch: 1 [5632/46250]	Loss: 1.9989	LR: 0.011602
Training Epoch: 1 [5888/46250]	Loss: 1.9395	LR: 0.012155
Training Epoch: 1 [6144/46250]	Loss: 1.8043	LR: 0.012707
Training Epoch: 1 [6400/46250]	Loss: 1.8502	LR: 0.013260
Training Epoch: 1 [6656/46250]	Loss: 1.9430	LR: 0.013812
Training Epoch: 1 [6912/46250]	Loss: 1.8598	LR: 0.014365
Training Epoch: 1 [7168/46250]	Loss: 1.8671	LR: 0.014917
Training Epoch: 1 [7424/46250]	Loss: 1.8178	LR: 0.015470
Training Epoch: 1 [7680/46250]	Loss: 2.0313	LR: 0.016022
Training Epoch: 1 [7936/46250]	Loss: 1.9565	LR: 0.016575
Training Epoch: 1 [8192/46250]	Loss: 1.9104	LR: 0.017127
Training Epoch: 1 [8448/46250]	Loss: 1.8796	LR: 0.017680
Training Epoch: 1 [8704/46250]	Loss: 1.9271	LR: 0.018232
Training Epoch: 1 [8960/46250]	Loss: 1.7828	LR: 0.018785
Training Epoch: 1 [9216/46250]	Loss: 1.9790	LR: 0.019337
Training Epoch: 1 [9472/46250]	Loss: 2.0178	LR: 0.019890
Training Epoch: 1 [9728/46250]	Loss: 1.8198	LR: 0.020442
Training Epoch: 1 [9984/46250]	Loss: 1.8918	LR: 0.020994
Training Epoch: 1 [10240/46250]	Loss: 1.7931	LR: 0.021547
Training Epoch: 1 [10496/46250]	Loss: 1.9147	LR: 0.022099
Training Epoch: 1 [10752/46250]	Loss: 1.7314	LR: 0.022652
Training Epoch: 1 [11008/46250]	Loss: 1.7747	LR: 0.023204
Training Epoch: 1 [11264/46250]	Loss: 1.8673	LR: 0.023757
Training Epoch: 1 [11520/46250]	Loss: 1.9112	LR: 0.024309
Training Epoch: 1 [11776/46250]	Loss: 1.7189	LR: 0.024862
Training Epoch: 1 [12032/46250]	Loss: 1.8187	LR: 0.025414
Training Epoch: 1 [12288/46250]	Loss: 1.7521	LR: 0.025967
Training Epoch: 1 [12544/46250]	Loss: 1.8280	LR: 0.026519
Training Epoch: 1 [12800/46250]	Loss: 1.7563	LR: 0.027072
Training Epoch: 1 [13056/46250]	Loss: 1.6967	LR: 0.027624
Training Epoch: 1 [13312/46250]	Loss: 1.7561	LR: 0.028177
Training Epoch: 1 [13568/46250]	Loss: 1.8127	LR: 0.028729
Training Epoch: 1 [13824/46250]	Loss: 1.8135	LR: 0.029282
Training Epoch: 1 [14080/46250]	Loss: 1.8422	LR: 0.029834
Training Epoch: 1 [14336/46250]	Loss: 1.7143	LR: 0.030387
Training Epoch: 1 [14592/46250]	Loss: 1.7539	LR: 0.030939
Training Epoch: 1 [14848/46250]	Loss: 1.8591	LR: 0.031492
Training Epoch: 1 [15104/46250]	Loss: 1.7905	LR: 0.032044
Training Epoch: 1 [15360/46250]	Loss: 1.8927	LR: 0.032597
Training Epoch: 1 [15616/46250]	Loss: 1.6951	LR: 0.033149
Training Epoch: 1 [15872/46250]	Loss: 1.8624	LR: 0.033702
Training Epoch: 1 [16128/46250]	Loss: 1.8146	LR: 0.034254
Training Epoch: 1 [16384/46250]	Loss: 1.5693	LR: 0.034807
Training Epoch: 1 [16640/46250]	Loss: 1.6602	LR: 0.035359
Training Epoch: 1 [16896/46250]	Loss: 1.6812	LR: 0.035912
Training Epoch: 1 [17152/46250]	Loss: 1.6549	LR: 0.036464
Training Epoch: 1 [17408/46250]	Loss: 1.6336	LR: 0.037017
Training Epoch: 1 [17664/46250]	Loss: 1.6711	LR: 0.037569
Training Epoch: 1 [17920/46250]	Loss: 1.6425	LR: 0.038122
Training Epoch: 1 [18176/46250]	Loss: 1.7589	LR: 0.038674
Training Epoch: 1 [18432/46250]	Loss: 1.6698	LR: 0.039227
Training Epoch: 1 [18688/46250]	Loss: 1.9199	LR: 0.039779
Training Epoch: 1 [18944/46250]	Loss: 1.7292	LR: 0.040331
Training Epoch: 1 [19200/46250]	Loss: 1.6973	LR: 0.040884
Training Epoch: 1 [19456/46250]	Loss: 1.7689	LR: 0.041436
Training Epoch: 1 [19712/46250]	Loss: 1.6185	LR: 0.041989
Training Epoch: 1 [19968/46250]	Loss: 1.7615	LR: 0.042541
Training Epoch: 1 [20224/46250]	Loss: 1.7885	LR: 0.043094
Training Epoch: 1 [20480/46250]	Loss: 1.7646	LR: 0.043646
Training Epoch: 1 [20736/46250]	Loss: 1.6901	LR: 0.044199
Training Epoch: 1 [20992/46250]	Loss: 1.6452	LR: 0.044751
Training Epoch: 1 [21248/46250]	Loss: 1.6246	LR: 0.045304
Training Epoch: 1 [21504/46250]	Loss: 1.5045	LR: 0.045856
Training Epoch: 1 [21760/46250]	Loss: 1.6672	LR: 0.046409
Training Epoch: 1 [22016/46250]	Loss: 1.4847	LR: 0.046961
Training Epoch: 1 [22272/46250]	Loss: 1.6828	LR: 0.047514
Training Epoch: 1 [22528/46250]	Loss: 1.5143	LR: 0.048066
Training Epoch: 1 [22784/46250]	Loss: 1.6564	LR: 0.048619
Training Epoch: 1 [23040/46250]	Loss: 1.6189	LR: 0.049171
Training Epoch: 1 [23296/46250]	Loss: 1.6982	LR: 0.049724
Training Epoch: 1 [23552/46250]	Loss: 1.6034	LR: 0.050276
Training Epoch: 1 [23808/46250]	Loss: 1.6253	LR: 0.050829
Training Epoch: 1 [24064/46250]	Loss: 1.6348	LR: 0.051381
Training Epoch: 1 [24320/46250]	Loss: 1.7648	LR: 0.051934
Training Epoch: 1 [24576/46250]	Loss: 1.6276	LR: 0.052486
Training Epoch: 1 [24832/46250]	Loss: 1.7657	LR: 0.053039
Training Epoch: 1 [25088/46250]	Loss: 1.5175	LR: 0.053591
Training Epoch: 1 [25344/46250]	Loss: 1.5506	LR: 0.054144
Training Epoch: 1 [25600/46250]	Loss: 1.6329	LR: 0.054696
Training Epoch: 1 [25856/46250]	Loss: 1.6660	LR: 0.055249
Training Epoch: 1 [26112/46250]	Loss: 1.7458	LR: 0.055801
Training Epoch: 1 [26368/46250]	Loss: 1.6812	LR: 0.056354
Training Epoch: 1 [26624/46250]	Loss: 1.6060	LR: 0.056906
Training Epoch: 1 [26880/46250]	Loss: 1.7477	LR: 0.057459
Training Epoch: 1 [27136/46250]	Loss: 1.7595	LR: 0.058011
Training Epoch: 1 [27392/46250]	Loss: 1.6830	LR: 0.058564
Training Epoch: 1 [27648/46250]	Loss: 1.5134	LR: 0.059116
Training Epoch: 1 [27904/46250]	Loss: 1.6674	LR: 0.059669
Training Epoch: 1 [28160/46250]	Loss: 1.7132	LR: 0.060221
Training Epoch: 1 [28416/46250]	Loss: 1.5350	LR: 0.060773
Training Epoch: 1 [28672/46250]	Loss: 1.5653	LR: 0.061326
Training Epoch: 1 [28928/46250]	Loss: 1.5415	LR: 0.061878
Training Epoch: 1 [29184/46250]	Loss: 1.7676	LR: 0.062431
Training Epoch: 1 [29440/46250]	Loss: 1.7625	LR: 0.062983
Training Epoch: 1 [29696/46250]	Loss: 1.7709	LR: 0.063536
Training Epoch: 1 [29952/46250]	Loss: 1.5815	LR: 0.064088
Training Epoch: 1 [30208/46250]	Loss: 1.4867	LR: 0.064641
Training Epoch: 1 [30464/46250]	Loss: 1.5215	LR: 0.065193
Training Epoch: 1 [30720/46250]	Loss: 1.6536	LR: 0.065746
Training Epoch: 1 [30976/46250]	Loss: 1.6966	LR: 0.066298
Training Epoch: 1 [31232/46250]	Loss: 1.6520	LR: 0.066851
Training Epoch: 1 [31488/46250]	Loss: 1.6327	LR: 0.067403
Training Epoch: 1 [31744/46250]	Loss: 1.5692	LR: 0.067956
Training Epoch: 1 [32000/46250]	Loss: 1.5640	LR: 0.068508
Training Epoch: 1 [32256/46250]	Loss: 1.5604	LR: 0.069061
Training Epoch: 1 [32512/46250]	Loss: 1.6378	LR: 0.069613
Training Epoch: 1 [32768/46250]	Loss: 1.5374	LR: 0.070166
Training Epoch: 1 [33024/46250]	Loss: 1.4878	LR: 0.070718
Training Epoch: 1 [33280/46250]	Loss: 1.5633	LR: 0.071271
Training Epoch: 1 [33536/46250]	Loss: 1.5625	LR: 0.071823
Training Epoch: 1 [33792/46250]	Loss: 1.4999	LR: 0.072376
Training Epoch: 1 [34048/46250]	Loss: 1.5517	LR: 0.072928
Training Epoch: 1 [34304/46250]	Loss: 1.5081	LR: 0.073481
Training Epoch: 1 [34560/46250]	Loss: 1.5260	LR: 0.074033
Training Epoch: 1 [34816/46250]	Loss: 1.5353	LR: 0.074586
Training Epoch: 1 [35072/46250]	Loss: 1.4516	LR: 0.075138
Training Epoch: 1 [35328/46250]	Loss: 1.6961	LR: 0.075691
Training Epoch: 1 [35584/46250]	Loss: 1.4506	LR: 0.076243
Training Epoch: 1 [35840/46250]	Loss: 1.6336	LR: 0.076796
Training Epoch: 1 [36096/46250]	Loss: 1.5663	LR: 0.077348
Training Epoch: 1 [36352/46250]	Loss: 1.7089	LR: 0.077901
Training Epoch: 1 [36608/46250]	Loss: 1.4719	LR: 0.078453
Training Epoch: 1 [36864/46250]	Loss: 1.6025	LR: 0.079006
Training Epoch: 1 [37120/46250]	Loss: 1.5116	LR: 0.079558
Training Epoch: 1 [37376/46250]	Loss: 1.5298	LR: 0.080110
Training Epoch: 1 [37632/46250]	Loss: 1.6908	LR: 0.080663
Training Epoch: 1 [37888/46250]	Loss: 1.6671	LR: 0.081215
Training Epoch: 1 [38144/46250]	Loss: 1.5158	LR: 0.081768
Training Epoch: 1 [38400/46250]	Loss: 1.6097	LR: 0.082320
Training Epoch: 1 [38656/46250]	Loss: 1.7454	LR: 0.082873
Training Epoch: 1 [38912/46250]	Loss: 1.5666	LR: 0.083425
Training Epoch: 1 [39168/46250]	Loss: 1.6164	LR: 0.083978
Training Epoch: 1 [39424/46250]	Loss: 1.4500	LR: 0.084530
Training Epoch: 1 [39680/46250]	Loss: 1.5706	LR: 0.085083
Training Epoch: 1 [39936/46250]	Loss: 1.6488	LR: 0.085635
Training Epoch: 1 [40192/46250]	Loss: 1.6558	LR: 0.086188
Training Epoch: 1 [40448/46250]	Loss: 1.7173	LR: 0.086740
Training Epoch: 1 [40704/46250]	Loss: 1.5740	LR: 0.087293
Training Epoch: 1 [40960/46250]	Loss: 1.6572	LR: 0.087845
Training Epoch: 1 [41216/46250]	Loss: 1.8230	LR: 0.088398
Training Epoch: 1 [41472/46250]	Loss: 1.5771	LR: 0.088950
Training Epoch: 1 [41728/46250]	Loss: 1.6467	LR: 0.089503
Training Epoch: 1 [41984/46250]	Loss: 1.6165	LR: 0.090055
Training Epoch: 1 [42240/46250]	Loss: 1.4785	LR: 0.090608
Training Epoch: 1 [42496/46250]	Loss: 1.5705	LR: 0.091160
Training Epoch: 1 [42752/46250]	Loss: 1.6081	LR: 0.091713
Training Epoch: 1 [43008/46250]	Loss: 1.6435	LR: 0.092265
Training Epoch: 1 [43264/46250]	Loss: 1.6467	LR: 0.092818
Training Epoch: 1 [43520/46250]	Loss: 1.6344	LR: 0.093370
Training Epoch: 1 [43776/46250]	Loss: 1.5167	LR: 0.093923
Training Epoch: 1 [44032/46250]	Loss: 1.6917	LR: 0.094475
Training Epoch: 1 [44288/46250]	Loss: 1.6168	LR: 0.095028
Training Epoch: 1 [44544/46250]	Loss: 1.4814	LR: 0.095580
Training Epoch: 1 [44800/46250]	Loss: 1.5052	LR: 0.096133
Training Epoch: 1 [45056/46250]	Loss: 1.4639	LR: 0.096685
Training Epoch: 1 [45312/46250]	Loss: 1.5016	LR: 0.097238
Training Epoch: 1 [45568/46250]	Loss: 1.4338	LR: 0.097790
Training Epoch: 1 [45824/46250]	Loss: 1.4034	LR: 0.098343
Training Epoch: 1 [46080/46250]	Loss: 1.5126	LR: 0.098895
Training Epoch: 1 [46250/46250]	Loss: 1.4589	LR: 0.099448
Epoch 1 - Average Train Loss: 1.7383, Train Accuracy: 0.3648
Epoch 1 training time consumed: 28.44s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0106, Accuracy: 0.3345, Time consumed:1.05s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_08h_24m_45s/ResNet18-Cifar10-seed7-ret25-1-best.pth
Training Epoch: 2 [256/46250]	Loss: 1.4122	LR: 0.100000
Training Epoch: 2 [512/46250]	Loss: 1.4677	LR: 0.100000
Training Epoch: 2 [768/46250]	Loss: 1.4776	LR: 0.100000
Training Epoch: 2 [1024/46250]	Loss: 1.4213	LR: 0.100000
Training Epoch: 2 [1280/46250]	Loss: 1.3903	LR: 0.100000
Training Epoch: 2 [1536/46250]	Loss: 1.3220	LR: 0.100000
Training Epoch: 2 [1792/46250]	Loss: 1.3578	LR: 0.100000
Training Epoch: 2 [2048/46250]	Loss: 1.3147	LR: 0.100000
Training Epoch: 2 [2304/46250]	Loss: 1.3863	LR: 0.100000
Training Epoch: 2 [2560/46250]	Loss: 1.1972	LR: 0.100000
Training Epoch: 2 [2816/46250]	Loss: 1.4791	LR: 0.100000
Training Epoch: 2 [3072/46250]	Loss: 1.4161	LR: 0.100000
Training Epoch: 2 [3328/46250]	Loss: 1.3574	LR: 0.100000
Training Epoch: 2 [3584/46250]	Loss: 1.2350	LR: 0.100000
Training Epoch: 2 [3840/46250]	Loss: 1.2777	LR: 0.100000
Training Epoch: 2 [4096/46250]	Loss: 1.3224	LR: 0.100000
Training Epoch: 2 [4352/46250]	Loss: 1.2371	LR: 0.100000
Training Epoch: 2 [4608/46250]	Loss: 1.3619	LR: 0.100000
Training Epoch: 2 [4864/46250]	Loss: 1.3558	LR: 0.100000
Training Epoch: 2 [5120/46250]	Loss: 1.3564	LR: 0.100000
Training Epoch: 2 [5376/46250]	Loss: 1.3014	LR: 0.100000
Training Epoch: 2 [5632/46250]	Loss: 1.4546	LR: 0.100000
Training Epoch: 2 [5888/46250]	Loss: 1.3770	LR: 0.100000
Training Epoch: 2 [6144/46250]	Loss: 1.5036	LR: 0.100000
Training Epoch: 2 [6400/46250]	Loss: 1.3533	LR: 0.100000
Training Epoch: 2 [6656/46250]	Loss: 1.4787	LR: 0.100000
Training Epoch: 2 [6912/46250]	Loss: 1.4228	LR: 0.100000
Training Epoch: 2 [7168/46250]	Loss: 1.3836	LR: 0.100000
Training Epoch: 2 [7424/46250]	Loss: 1.2641	LR: 0.100000
Training Epoch: 2 [7680/46250]	Loss: 1.5065	LR: 0.100000
Training Epoch: 2 [7936/46250]	Loss: 1.4360	LR: 0.100000
Training Epoch: 2 [8192/46250]	Loss: 1.2943	LR: 0.100000
Training Epoch: 2 [8448/46250]	Loss: 1.3562	LR: 0.100000
Training Epoch: 2 [8704/46250]	Loss: 1.2510	LR: 0.100000
Training Epoch: 2 [8960/46250]	Loss: 1.6465	LR: 0.100000
Training Epoch: 2 [9216/46250]	Loss: 1.3728	LR: 0.100000
Training Epoch: 2 [9472/46250]	Loss: 1.3979	LR: 0.100000
Training Epoch: 2 [9728/46250]	Loss: 1.2736	LR: 0.100000
Training Epoch: 2 [9984/46250]	Loss: 1.3590	LR: 0.100000
Training Epoch: 2 [10240/46250]	Loss: 1.3020	LR: 0.100000
Training Epoch: 2 [10496/46250]	Loss: 1.3453	LR: 0.100000
Training Epoch: 2 [10752/46250]	Loss: 1.4912	LR: 0.100000
Training Epoch: 2 [11008/46250]	Loss: 1.2547	LR: 0.100000
Training Epoch: 2 [11264/46250]	Loss: 1.5566	LR: 0.100000
Training Epoch: 2 [11520/46250]	Loss: 1.2809	LR: 0.100000
Training Epoch: 2 [11776/46250]	Loss: 1.2595	LR: 0.100000
Training Epoch: 2 [12032/46250]	Loss: 1.2506	LR: 0.100000
Training Epoch: 2 [12288/46250]	Loss: 1.1476	LR: 0.100000
Training Epoch: 2 [12544/46250]	Loss: 1.1845	LR: 0.100000
Training Epoch: 2 [12800/46250]	Loss: 1.2482	LR: 0.100000
Training Epoch: 2 [13056/46250]	Loss: 1.2060	LR: 0.100000
Training Epoch: 2 [13312/46250]	Loss: 1.2675	LR: 0.100000
Training Epoch: 2 [13568/46250]	Loss: 1.2193	LR: 0.100000
Training Epoch: 2 [13824/46250]	Loss: 1.2093	LR: 0.100000
Training Epoch: 2 [14080/46250]	Loss: 1.3479	LR: 0.100000
Training Epoch: 2 [14336/46250]	Loss: 1.1749	LR: 0.100000
Training Epoch: 2 [14592/46250]	Loss: 1.3300	LR: 0.100000
Training Epoch: 2 [14848/46250]	Loss: 1.3316	LR: 0.100000
Training Epoch: 2 [15104/46250]	Loss: 1.2462	LR: 0.100000
Training Epoch: 2 [15360/46250]	Loss: 1.2200	LR: 0.100000
Training Epoch: 2 [15616/46250]	Loss: 1.4303	LR: 0.100000
Training Epoch: 2 [15872/46250]	Loss: 1.3433	LR: 0.100000
Training Epoch: 2 [16128/46250]	Loss: 1.2836	LR: 0.100000
Training Epoch: 2 [16384/46250]	Loss: 1.3334	LR: 0.100000
Training Epoch: 2 [16640/46250]	Loss: 1.1343	LR: 0.100000
Training Epoch: 2 [16896/46250]	Loss: 1.3629	LR: 0.100000
Training Epoch: 2 [17152/46250]	Loss: 1.3566	LR: 0.100000
Training Epoch: 2 [17408/46250]	Loss: 1.2865	LR: 0.100000
Training Epoch: 2 [17664/46250]	Loss: 1.3169	LR: 0.100000
Training Epoch: 2 [17920/46250]	Loss: 1.1883	LR: 0.100000
Training Epoch: 2 [18176/46250]	Loss: 1.2766	LR: 0.100000
Training Epoch: 2 [18432/46250]	Loss: 1.3009	LR: 0.100000
Training Epoch: 2 [18688/46250]	Loss: 1.2852	LR: 0.100000
Training Epoch: 2 [18944/46250]	Loss: 1.2666	LR: 0.100000
Training Epoch: 2 [19200/46250]	Loss: 1.3032	LR: 0.100000
Training Epoch: 2 [19456/46250]	Loss: 1.2052	LR: 0.100000
Training Epoch: 2 [19712/46250]	Loss: 1.2319	LR: 0.100000
Training Epoch: 2 [19968/46250]	Loss: 1.2501	LR: 0.100000
Training Epoch: 2 [20224/46250]	Loss: 1.0785	LR: 0.100000
Training Epoch: 2 [20480/46250]	Loss: 1.2019	LR: 0.100000
Training Epoch: 2 [20736/46250]	Loss: 1.1872	LR: 0.100000
Training Epoch: 2 [20992/46250]	Loss: 1.1691	LR: 0.100000
Training Epoch: 2 [21248/46250]	Loss: 1.2762	LR: 0.100000
Training Epoch: 2 [21504/46250]	Loss: 1.2239	LR: 0.100000
Training Epoch: 2 [21760/46250]	Loss: 1.1700	LR: 0.100000
Training Epoch: 2 [22016/46250]	Loss: 1.2016	LR: 0.100000
Training Epoch: 2 [22272/46250]	Loss: 1.1776	LR: 0.100000
Training Epoch: 2 [22528/46250]	Loss: 1.1739	LR: 0.100000
Training Epoch: 2 [22784/46250]	Loss: 1.1994	LR: 0.100000
Training Epoch: 2 [23040/46250]	Loss: 1.1859	LR: 0.100000
Training Epoch: 2 [23296/46250]	Loss: 1.2428	LR: 0.100000
Training Epoch: 2 [23552/46250]	Loss: 1.1134	LR: 0.100000
Training Epoch: 2 [23808/46250]	Loss: 1.2262	LR: 0.100000
Training Epoch: 2 [24064/46250]	Loss: 1.1986	LR: 0.100000
Training Epoch: 2 [24320/46250]	Loss: 1.1767	LR: 0.100000
Training Epoch: 2 [24576/46250]	Loss: 1.2503	LR: 0.100000
Training Epoch: 2 [24832/46250]	Loss: 1.1278	LR: 0.100000
Training Epoch: 2 [25088/46250]	Loss: 1.0968	LR: 0.100000
Training Epoch: 2 [25344/46250]	Loss: 1.2228	LR: 0.100000
Training Epoch: 2 [25600/46250]	Loss: 1.2655	LR: 0.100000
Training Epoch: 2 [25856/46250]	Loss: 1.1796	LR: 0.100000
Training Epoch: 2 [26112/46250]	Loss: 1.1045	LR: 0.100000
Training Epoch: 2 [26368/46250]	Loss: 1.1493	LR: 0.100000
Training Epoch: 2 [26624/46250]	Loss: 1.2183	LR: 0.100000
Training Epoch: 2 [26880/46250]	Loss: 1.2098	LR: 0.100000
Training Epoch: 2 [27136/46250]	Loss: 1.0459	LR: 0.100000
Training Epoch: 2 [27392/46250]	Loss: 1.0800	LR: 0.100000
Training Epoch: 2 [27648/46250]	Loss: 1.1577	LR: 0.100000
Training Epoch: 2 [27904/46250]	Loss: 1.3012	LR: 0.100000
Training Epoch: 2 [28160/46250]	Loss: 1.1029	LR: 0.100000
Training Epoch: 2 [28416/46250]	Loss: 1.1342	LR: 0.100000
Training Epoch: 2 [28672/46250]	Loss: 1.2069	LR: 0.100000
Training Epoch: 2 [28928/46250]	Loss: 1.2217	LR: 0.100000
Training Epoch: 2 [29184/46250]	Loss: 1.1773	LR: 0.100000
Training Epoch: 2 [29440/46250]	Loss: 1.1323	LR: 0.100000
Training Epoch: 2 [29696/46250]	Loss: 1.1457	LR: 0.100000
Training Epoch: 2 [29952/46250]	Loss: 1.1042	LR: 0.100000
Training Epoch: 2 [30208/46250]	Loss: 1.0844	LR: 0.100000
Training Epoch: 2 [30464/46250]	Loss: 1.1230	LR: 0.100000
Training Epoch: 2 [30720/46250]	Loss: 1.1839	LR: 0.100000
Training Epoch: 2 [30976/46250]	Loss: 1.1571	LR: 0.100000
Training Epoch: 2 [31232/46250]	Loss: 0.9934	LR: 0.100000
Training Epoch: 2 [31488/46250]	Loss: 1.1372	LR: 0.100000
Training Epoch: 2 [31744/46250]	Loss: 1.1717	LR: 0.100000
Training Epoch: 2 [32000/46250]	Loss: 1.0889	LR: 0.100000
Training Epoch: 2 [32256/46250]	Loss: 1.2720	LR: 0.100000
Training Epoch: 2 [32512/46250]	Loss: 1.2892	LR: 0.100000
Training Epoch: 2 [32768/46250]	Loss: 1.0099	LR: 0.100000
Training Epoch: 2 [33024/46250]	Loss: 1.2065	LR: 0.100000
Training Epoch: 2 [33280/46250]	Loss: 1.1496	LR: 0.100000
Training Epoch: 2 [33536/46250]	Loss: 1.1815	LR: 0.100000
Training Epoch: 2 [33792/46250]	Loss: 1.2098	LR: 0.100000
Training Epoch: 2 [34048/46250]	Loss: 1.1383	LR: 0.100000
Training Epoch: 2 [34304/46250]	Loss: 1.1178	LR: 0.100000
Training Epoch: 2 [34560/46250]	Loss: 1.1823	LR: 0.100000
Training Epoch: 2 [34816/46250]	Loss: 1.1047	LR: 0.100000
Training Epoch: 2 [35072/46250]	Loss: 1.2401	LR: 0.100000
Training Epoch: 2 [35328/46250]	Loss: 1.2450	LR: 0.100000
Training Epoch: 2 [35584/46250]	Loss: 1.1559	LR: 0.100000
Training Epoch: 2 [35840/46250]	Loss: 1.2210	LR: 0.100000
Training Epoch: 2 [36096/46250]	Loss: 1.0828	LR: 0.100000
Training Epoch: 2 [36352/46250]	Loss: 1.1721	LR: 0.100000
Training Epoch: 2 [36608/46250]	Loss: 1.2780	LR: 0.100000
Training Epoch: 2 [36864/46250]	Loss: 0.9998	LR: 0.100000
Training Epoch: 2 [37120/46250]	Loss: 1.1296	LR: 0.100000
Training Epoch: 2 [37376/46250]	Loss: 1.2747	LR: 0.100000
Training Epoch: 2 [37632/46250]	Loss: 1.2462	LR: 0.100000
Training Epoch: 2 [37888/46250]	Loss: 1.1942	LR: 0.100000
Training Epoch: 2 [38144/46250]	Loss: 1.1144	LR: 0.100000
Training Epoch: 2 [38400/46250]	Loss: 0.9927	LR: 0.100000
Training Epoch: 2 [38656/46250]	Loss: 1.0885	LR: 0.100000
Training Epoch: 2 [38912/46250]	Loss: 1.1053	LR: 0.100000
Training Epoch: 2 [39168/46250]	Loss: 1.0926	LR: 0.100000
Training Epoch: 2 [39424/46250]	Loss: 1.1452	LR: 0.100000
Training Epoch: 2 [39680/46250]	Loss: 1.1108	LR: 0.100000
Training Epoch: 2 [39936/46250]	Loss: 1.0271	LR: 0.100000
Training Epoch: 2 [40192/46250]	Loss: 1.1414	LR: 0.100000
Training Epoch: 2 [40448/46250]	Loss: 1.0868	LR: 0.100000
Training Epoch: 2 [40704/46250]	Loss: 1.1509	LR: 0.100000
Training Epoch: 2 [40960/46250]	Loss: 1.0554	LR: 0.100000
Training Epoch: 2 [41216/46250]	Loss: 1.0771	LR: 0.100000
Training Epoch: 2 [41472/46250]	Loss: 1.1260	LR: 0.100000
Training Epoch: 2 [41728/46250]	Loss: 1.1559	LR: 0.100000
Training Epoch: 2 [41984/46250]	Loss: 1.0477	LR: 0.100000
Training Epoch: 2 [42240/46250]	Loss: 1.2002	LR: 0.100000
Training Epoch: 2 [42496/46250]	Loss: 1.1040	LR: 0.100000
Training Epoch: 2 [42752/46250]	Loss: 1.0616	LR: 0.100000
Training Epoch: 2 [43008/46250]	Loss: 1.2513	LR: 0.100000
Training Epoch: 2 [43264/46250]	Loss: 1.0334	LR: 0.100000
Training Epoch: 2 [43520/46250]	Loss: 1.1989	LR: 0.100000
Training Epoch: 2 [43776/46250]	Loss: 1.1665	LR: 0.100000
Training Epoch: 2 [44032/46250]	Loss: 1.1761	LR: 0.100000
Training Epoch: 2 [44288/46250]	Loss: 0.9845	LR: 0.100000
Training Epoch: 2 [44544/46250]	Loss: 0.9827	LR: 0.100000
Training Epoch: 2 [44800/46250]	Loss: 1.1059	LR: 0.100000
Training Epoch: 2 [45056/46250]	Loss: 1.0731	LR: 0.100000
Training Epoch: 2 [45312/46250]	Loss: 0.9267	LR: 0.100000
Training Epoch: 2 [45568/46250]	Loss: 1.1094	LR: 0.100000
Training Epoch: 2 [45824/46250]	Loss: 1.1232	LR: 0.100000
Training Epoch: 2 [46080/46250]	Loss: 1.0861	LR: 0.100000
Training Epoch: 2 [46250/46250]	Loss: 1.3507	LR: 0.100000
Epoch 2 - Average Train Loss: 1.2260, Train Accuracy: 0.5609
Epoch 2 training time consumed: 27.78s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0051, Accuracy: 0.5862, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_08h_24m_45s/ResNet18-Cifar10-seed7-ret25-2-best.pth
Training Epoch: 3 [256/46250]	Loss: 1.1345	LR: 0.100000
Training Epoch: 3 [512/46250]	Loss: 1.0398	LR: 0.100000
Training Epoch: 3 [768/46250]	Loss: 1.0770	LR: 0.100000
Training Epoch: 3 [1024/46250]	Loss: 1.1595	LR: 0.100000
Training Epoch: 3 [1280/46250]	Loss: 1.0924	LR: 0.100000
Training Epoch: 3 [1536/46250]	Loss: 1.0885	LR: 0.100000
Training Epoch: 3 [1792/46250]	Loss: 1.0978	LR: 0.100000
Training Epoch: 3 [2048/46250]	Loss: 1.1821	LR: 0.100000
Training Epoch: 3 [2304/46250]	Loss: 1.1386	LR: 0.100000
Training Epoch: 3 [2560/46250]	Loss: 1.1869	LR: 0.100000
Training Epoch: 3 [2816/46250]	Loss: 1.0416	LR: 0.100000
Training Epoch: 3 [3072/46250]	Loss: 1.0090	LR: 0.100000
Training Epoch: 3 [3328/46250]	Loss: 0.9701	LR: 0.100000
Training Epoch: 3 [3584/46250]	Loss: 1.1012	LR: 0.100000
Training Epoch: 3 [3840/46250]	Loss: 1.0035	LR: 0.100000
Training Epoch: 3 [4096/46250]	Loss: 0.9707	LR: 0.100000
Training Epoch: 3 [4352/46250]	Loss: 1.0444	LR: 0.100000
Training Epoch: 3 [4608/46250]	Loss: 1.1317	LR: 0.100000
Training Epoch: 3 [4864/46250]	Loss: 1.0005	LR: 0.100000
Training Epoch: 3 [5120/46250]	Loss: 0.9266	LR: 0.100000
Training Epoch: 3 [5376/46250]	Loss: 1.0137	LR: 0.100000
Training Epoch: 3 [5632/46250]	Loss: 0.9269	LR: 0.100000
Training Epoch: 3 [5888/46250]	Loss: 1.1301	LR: 0.100000
Training Epoch: 3 [6144/46250]	Loss: 1.1039	LR: 0.100000
Training Epoch: 3 [6400/46250]	Loss: 1.0599	LR: 0.100000
Training Epoch: 3 [6656/46250]	Loss: 1.0702	LR: 0.100000
Training Epoch: 3 [6912/46250]	Loss: 0.8945	LR: 0.100000
Training Epoch: 3 [7168/46250]	Loss: 0.9763	LR: 0.100000
Training Epoch: 3 [7424/46250]	Loss: 0.8988	LR: 0.100000
Training Epoch: 3 [7680/46250]	Loss: 1.0752	LR: 0.100000
Training Epoch: 3 [7936/46250]	Loss: 0.9732	LR: 0.100000
Training Epoch: 3 [8192/46250]	Loss: 1.0003	LR: 0.100000
Training Epoch: 3 [8448/46250]	Loss: 0.9900	LR: 0.100000
Training Epoch: 3 [8704/46250]	Loss: 1.0593	LR: 0.100000
Training Epoch: 3 [8960/46250]	Loss: 1.0097	LR: 0.100000
Training Epoch: 3 [9216/46250]	Loss: 1.0456	LR: 0.100000
Training Epoch: 3 [9472/46250]	Loss: 1.1261	LR: 0.100000
Training Epoch: 3 [9728/46250]	Loss: 0.9842	LR: 0.100000
Training Epoch: 3 [9984/46250]	Loss: 1.0116	LR: 0.100000
Training Epoch: 3 [10240/46250]	Loss: 0.8753	LR: 0.100000
Training Epoch: 3 [10496/46250]	Loss: 1.0238	LR: 0.100000
Training Epoch: 3 [10752/46250]	Loss: 1.0494	LR: 0.100000
Training Epoch: 3 [11008/46250]	Loss: 0.9364	LR: 0.100000
Training Epoch: 3 [11264/46250]	Loss: 0.9355	LR: 0.100000
Training Epoch: 3 [11520/46250]	Loss: 0.9576	LR: 0.100000
Training Epoch: 3 [11776/46250]	Loss: 1.0249	LR: 0.100000
Training Epoch: 3 [12032/46250]	Loss: 0.9145	LR: 0.100000
Training Epoch: 3 [12288/46250]	Loss: 0.9590	LR: 0.100000
Training Epoch: 3 [12544/46250]	Loss: 0.8698	LR: 0.100000
Training Epoch: 3 [12800/46250]	Loss: 1.0340	LR: 0.100000
Training Epoch: 3 [13056/46250]	Loss: 0.9116	LR: 0.100000
Training Epoch: 3 [13312/46250]	Loss: 1.0820	LR: 0.100000
Training Epoch: 3 [13568/46250]	Loss: 0.9918	LR: 0.100000
Training Epoch: 3 [13824/46250]	Loss: 1.1401	LR: 0.100000
Training Epoch: 3 [14080/46250]	Loss: 1.0406	LR: 0.100000
Training Epoch: 3 [14336/46250]	Loss: 0.9173	LR: 0.100000
Training Epoch: 3 [14592/46250]	Loss: 1.0506	LR: 0.100000
Training Epoch: 3 [14848/46250]	Loss: 0.9788	LR: 0.100000
Training Epoch: 3 [15104/46250]	Loss: 0.9770	LR: 0.100000
Training Epoch: 3 [15360/46250]	Loss: 1.0114	LR: 0.100000
Training Epoch: 3 [15616/46250]	Loss: 1.0767	LR: 0.100000
Training Epoch: 3 [15872/46250]	Loss: 1.0367	LR: 0.100000
Training Epoch: 3 [16128/46250]	Loss: 1.0979	LR: 0.100000
Training Epoch: 3 [16384/46250]	Loss: 0.8683	LR: 0.100000
Training Epoch: 3 [16640/46250]	Loss: 1.0215	LR: 0.100000
Training Epoch: 3 [16896/46250]	Loss: 0.9525	LR: 0.100000
Training Epoch: 3 [17152/46250]	Loss: 0.8510	LR: 0.100000
Training Epoch: 3 [17408/46250]	Loss: 1.0087	LR: 0.100000
Training Epoch: 3 [17664/46250]	Loss: 1.1407	LR: 0.100000
Training Epoch: 3 [17920/46250]	Loss: 0.9912	LR: 0.100000
Training Epoch: 3 [18176/46250]	Loss: 0.9824	LR: 0.100000
Training Epoch: 3 [18432/46250]	Loss: 1.0542	LR: 0.100000
Training Epoch: 3 [18688/46250]	Loss: 1.0776	LR: 0.100000
Training Epoch: 3 [18944/46250]	Loss: 0.9739	LR: 0.100000
Training Epoch: 3 [19200/46250]	Loss: 1.0353	LR: 0.100000
Training Epoch: 3 [19456/46250]	Loss: 0.9725	LR: 0.100000
Training Epoch: 3 [19712/46250]	Loss: 1.0410	LR: 0.100000
Training Epoch: 3 [19968/46250]	Loss: 0.9870	LR: 0.100000
Training Epoch: 3 [20224/46250]	Loss: 0.9733	LR: 0.100000
Training Epoch: 3 [20480/46250]	Loss: 1.1118	LR: 0.100000
Training Epoch: 3 [20736/46250]	Loss: 0.9978	LR: 0.100000
Training Epoch: 3 [20992/46250]	Loss: 0.9816	LR: 0.100000
Training Epoch: 3 [21248/46250]	Loss: 0.9257	LR: 0.100000
Training Epoch: 3 [21504/46250]	Loss: 1.0949	LR: 0.100000
Training Epoch: 3 [21760/46250]	Loss: 1.0048	LR: 0.100000
Training Epoch: 3 [22016/46250]	Loss: 1.1621	LR: 0.100000
Training Epoch: 3 [22272/46250]	Loss: 1.1129	LR: 0.100000
Training Epoch: 3 [22528/46250]	Loss: 1.0553	LR: 0.100000
Training Epoch: 3 [22784/46250]	Loss: 1.0045	LR: 0.100000
Training Epoch: 3 [23040/46250]	Loss: 0.9012	LR: 0.100000
Training Epoch: 3 [23296/46250]	Loss: 0.8748	LR: 0.100000
Training Epoch: 3 [23552/46250]	Loss: 0.9720	LR: 0.100000
Training Epoch: 3 [23808/46250]	Loss: 0.9731	LR: 0.100000
Training Epoch: 3 [24064/46250]	Loss: 0.9185	LR: 0.100000
Training Epoch: 3 [24320/46250]	Loss: 0.9834	LR: 0.100000
Training Epoch: 3 [24576/46250]	Loss: 1.0070	LR: 0.100000
Training Epoch: 3 [24832/46250]	Loss: 0.9730	LR: 0.100000
Training Epoch: 3 [25088/46250]	Loss: 1.0225	LR: 0.100000
Training Epoch: 3 [25344/46250]	Loss: 0.9044	LR: 0.100000
Training Epoch: 3 [25600/46250]	Loss: 0.9800	LR: 0.100000
Training Epoch: 3 [25856/46250]	Loss: 0.8770	LR: 0.100000
Training Epoch: 3 [26112/46250]	Loss: 0.9553	LR: 0.100000
Training Epoch: 3 [26368/46250]	Loss: 0.9788	LR: 0.100000
Training Epoch: 3 [26624/46250]	Loss: 1.0738	LR: 0.100000
Training Epoch: 3 [26880/46250]	Loss: 0.9901	LR: 0.100000
Training Epoch: 3 [27136/46250]	Loss: 0.9432	LR: 0.100000
Training Epoch: 3 [27392/46250]	Loss: 0.9662	LR: 0.100000
Training Epoch: 3 [27648/46250]	Loss: 1.0365	LR: 0.100000
Training Epoch: 3 [27904/46250]	Loss: 0.8415	LR: 0.100000
Training Epoch: 3 [28160/46250]	Loss: 0.8856	LR: 0.100000
Training Epoch: 3 [28416/46250]	Loss: 0.9602	LR: 0.100000
Training Epoch: 3 [28672/46250]	Loss: 0.9596	LR: 0.100000
Training Epoch: 3 [28928/46250]	Loss: 0.9086	LR: 0.100000
Training Epoch: 3 [29184/46250]	Loss: 1.0274	LR: 0.100000
Training Epoch: 3 [29440/46250]	Loss: 1.0472	LR: 0.100000
Training Epoch: 3 [29696/46250]	Loss: 0.8999	LR: 0.100000
Training Epoch: 3 [29952/46250]	Loss: 0.9350	LR: 0.100000
Training Epoch: 3 [30208/46250]	Loss: 0.9370	LR: 0.100000
Training Epoch: 3 [30464/46250]	Loss: 0.9416	LR: 0.100000
Training Epoch: 3 [30720/46250]	Loss: 0.7817	LR: 0.100000
Training Epoch: 3 [30976/46250]	Loss: 0.9215	LR: 0.100000
Training Epoch: 3 [31232/46250]	Loss: 0.8895	LR: 0.100000
Training Epoch: 3 [31488/46250]	Loss: 1.0327	LR: 0.100000
Training Epoch: 3 [31744/46250]	Loss: 0.8826	LR: 0.100000
Training Epoch: 3 [32000/46250]	Loss: 1.1369	LR: 0.100000
Training Epoch: 3 [32256/46250]	Loss: 0.9942	LR: 0.100000
Training Epoch: 3 [32512/46250]	Loss: 0.9177	LR: 0.100000
Training Epoch: 3 [32768/46250]	Loss: 0.8948	LR: 0.100000
Training Epoch: 3 [33024/46250]	Loss: 0.9103	LR: 0.100000
Training Epoch: 3 [33280/46250]	Loss: 0.8472	LR: 0.100000
Training Epoch: 3 [33536/46250]	Loss: 0.9861	LR: 0.100000
Training Epoch: 3 [33792/46250]	Loss: 1.0958	LR: 0.100000
Training Epoch: 3 [34048/46250]	Loss: 0.8857	LR: 0.100000
Training Epoch: 3 [34304/46250]	Loss: 1.1329	LR: 0.100000
Training Epoch: 3 [34560/46250]	Loss: 0.8417	LR: 0.100000
Training Epoch: 3 [34816/46250]	Loss: 1.0029	LR: 0.100000
Training Epoch: 3 [35072/46250]	Loss: 0.9392	LR: 0.100000
Training Epoch: 3 [35328/46250]	Loss: 0.9146	LR: 0.100000
Training Epoch: 3 [35584/46250]	Loss: 0.9617	LR: 0.100000
Training Epoch: 3 [35840/46250]	Loss: 0.9385	LR: 0.100000
Training Epoch: 3 [36096/46250]	Loss: 0.7532	LR: 0.100000
Training Epoch: 3 [36352/46250]	Loss: 0.9141	LR: 0.100000
Training Epoch: 3 [36608/46250]	Loss: 0.8601	LR: 0.100000
Training Epoch: 3 [36864/46250]	Loss: 0.8546	LR: 0.100000
Training Epoch: 3 [37120/46250]	Loss: 0.7474	LR: 0.100000
Training Epoch: 3 [37376/46250]	Loss: 0.9530	LR: 0.100000
Training Epoch: 3 [37632/46250]	Loss: 0.9364	LR: 0.100000
Training Epoch: 3 [37888/46250]	Loss: 0.9150	LR: 0.100000
Training Epoch: 3 [38144/46250]	Loss: 0.9455	LR: 0.100000
Training Epoch: 3 [38400/46250]	Loss: 0.8701	LR: 0.100000
Training Epoch: 3 [38656/46250]	Loss: 1.0116	LR: 0.100000
Training Epoch: 3 [38912/46250]	Loss: 0.7981	LR: 0.100000
Training Epoch: 3 [39168/46250]	Loss: 0.8539	LR: 0.100000
Training Epoch: 3 [39424/46250]	Loss: 0.9234	LR: 0.100000
Training Epoch: 3 [39680/46250]	Loss: 0.9362	LR: 0.100000
Training Epoch: 3 [39936/46250]	Loss: 0.8874	LR: 0.100000
Training Epoch: 3 [40192/46250]	Loss: 0.8914	LR: 0.100000
Training Epoch: 3 [40448/46250]	Loss: 0.8784	LR: 0.100000
Training Epoch: 3 [40704/46250]	Loss: 0.9044	LR: 0.100000
Training Epoch: 3 [40960/46250]	Loss: 0.8894	LR: 0.100000
Training Epoch: 3 [41216/46250]	Loss: 0.8587	LR: 0.100000
Training Epoch: 3 [41472/46250]	Loss: 1.0009	LR: 0.100000
Training Epoch: 3 [41728/46250]	Loss: 0.8702	LR: 0.100000
Training Epoch: 3 [41984/46250]	Loss: 0.8681	LR: 0.100000
Training Epoch: 3 [42240/46250]	Loss: 0.8699	LR: 0.100000
Training Epoch: 3 [42496/46250]	Loss: 0.9488	LR: 0.100000
Training Epoch: 3 [42752/46250]	Loss: 0.9068	LR: 0.100000
Training Epoch: 3 [43008/46250]	Loss: 1.0323	LR: 0.100000
Training Epoch: 3 [43264/46250]	Loss: 0.7308	LR: 0.100000
Training Epoch: 3 [43520/46250]	Loss: 0.8566	LR: 0.100000
Training Epoch: 3 [43776/46250]	Loss: 0.9166	LR: 0.100000
Training Epoch: 3 [44032/46250]	Loss: 0.9846	LR: 0.100000
Training Epoch: 3 [44288/46250]	Loss: 0.9155	LR: 0.100000
Training Epoch: 3 [44544/46250]	Loss: 0.8512	LR: 0.100000
Training Epoch: 3 [44800/46250]	Loss: 0.8888	LR: 0.100000
Training Epoch: 3 [45056/46250]	Loss: 0.8873	LR: 0.100000
Training Epoch: 3 [45312/46250]	Loss: 0.9279	LR: 0.100000
Training Epoch: 3 [45568/46250]	Loss: 0.8657	LR: 0.100000
Training Epoch: 3 [45824/46250]	Loss: 0.9658	LR: 0.100000
Training Epoch: 3 [46080/46250]	Loss: 0.8752	LR: 0.100000
Training Epoch: 3 [46250/46250]	Loss: 0.8536	LR: 0.100000
Epoch 3 - Average Train Loss: 0.9737, Train Accuracy: 0.6566
Epoch 3 training time consumed: 27.84s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0042, Accuracy: 0.6461, Time consumed:0.98s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_08h_24m_45s/ResNet18-Cifar10-seed7-ret25-3-best.pth
Training Epoch: 4 [256/46250]	Loss: 0.8574	LR: 0.100000
Training Epoch: 4 [512/46250]	Loss: 1.0306	LR: 0.100000
Training Epoch: 4 [768/46250]	Loss: 0.8987	LR: 0.100000
Training Epoch: 4 [1024/46250]	Loss: 0.9837	LR: 0.100000
Training Epoch: 4 [1280/46250]	Loss: 0.9169	LR: 0.100000
Training Epoch: 4 [1536/46250]	Loss: 0.8743	LR: 0.100000
Training Epoch: 4 [1792/46250]	Loss: 0.8825	LR: 0.100000
Training Epoch: 4 [2048/46250]	Loss: 1.0005	LR: 0.100000
Training Epoch: 4 [2304/46250]	Loss: 0.9360	LR: 0.100000
Training Epoch: 4 [2560/46250]	Loss: 0.9059	LR: 0.100000
Training Epoch: 4 [2816/46250]	Loss: 0.8041	LR: 0.100000
Training Epoch: 4 [3072/46250]	Loss: 0.9031	LR: 0.100000
Training Epoch: 4 [3328/46250]	Loss: 0.8863	LR: 0.100000
Training Epoch: 4 [3584/46250]	Loss: 0.8247	LR: 0.100000
Training Epoch: 4 [3840/46250]	Loss: 0.8712	LR: 0.100000
Training Epoch: 4 [4096/46250]	Loss: 0.8304	LR: 0.100000
Training Epoch: 4 [4352/46250]	Loss: 0.9843	LR: 0.100000
Training Epoch: 4 [4608/46250]	Loss: 0.9636	LR: 0.100000
Training Epoch: 4 [4864/46250]	Loss: 0.8859	LR: 0.100000
Training Epoch: 4 [5120/46250]	Loss: 0.7712	LR: 0.100000
Training Epoch: 4 [5376/46250]	Loss: 0.9378	LR: 0.100000
Training Epoch: 4 [5632/46250]	Loss: 0.8807	LR: 0.100000
Training Epoch: 4 [5888/46250]	Loss: 0.9705	LR: 0.100000
Training Epoch: 4 [6144/46250]	Loss: 0.8524	LR: 0.100000
Training Epoch: 4 [6400/46250]	Loss: 0.9198	LR: 0.100000
Training Epoch: 4 [6656/46250]	Loss: 0.8077	LR: 0.100000
Training Epoch: 4 [6912/46250]	Loss: 0.7148	LR: 0.100000
Training Epoch: 4 [7168/46250]	Loss: 0.8673	LR: 0.100000
Training Epoch: 4 [7424/46250]	Loss: 0.8833	LR: 0.100000
Training Epoch: 4 [7680/46250]	Loss: 0.7712	LR: 0.100000
Training Epoch: 4 [7936/46250]	Loss: 0.8441	LR: 0.100000
Training Epoch: 4 [8192/46250]	Loss: 0.7547	LR: 0.100000
Training Epoch: 4 [8448/46250]	Loss: 0.7731	LR: 0.100000
Training Epoch: 4 [8704/46250]	Loss: 0.6872	LR: 0.100000
Training Epoch: 4 [8960/46250]	Loss: 0.8348	LR: 0.100000
Training Epoch: 4 [9216/46250]	Loss: 0.8004	LR: 0.100000
Training Epoch: 4 [9472/46250]	Loss: 0.9391	LR: 0.100000
Training Epoch: 4 [9728/46250]	Loss: 0.8802	LR: 0.100000
Training Epoch: 4 [9984/46250]	Loss: 1.0821	LR: 0.100000
Training Epoch: 4 [10240/46250]	Loss: 0.7714	LR: 0.100000
Training Epoch: 4 [10496/46250]	Loss: 0.7888	LR: 0.100000
Training Epoch: 4 [10752/46250]	Loss: 0.8597	LR: 0.100000
Training Epoch: 4 [11008/46250]	Loss: 0.8829	LR: 0.100000
Training Epoch: 4 [11264/46250]	Loss: 0.7083	LR: 0.100000
Training Epoch: 4 [11520/46250]	Loss: 0.7882	LR: 0.100000
Training Epoch: 4 [11776/46250]	Loss: 0.8682	LR: 0.100000
Training Epoch: 4 [12032/46250]	Loss: 0.9119	LR: 0.100000
Training Epoch: 4 [12288/46250]	Loss: 0.8240	LR: 0.100000
Training Epoch: 4 [12544/46250]	Loss: 0.8864	LR: 0.100000
Training Epoch: 4 [12800/46250]	Loss: 0.7482	LR: 0.100000
Training Epoch: 4 [13056/46250]	Loss: 0.8821	LR: 0.100000
Training Epoch: 4 [13312/46250]	Loss: 0.8174	LR: 0.100000
Training Epoch: 4 [13568/46250]	Loss: 0.8466	LR: 0.100000
Training Epoch: 4 [13824/46250]	Loss: 0.8758	LR: 0.100000
Training Epoch: 4 [14080/46250]	Loss: 0.7941	LR: 0.100000
Training Epoch: 4 [14336/46250]	Loss: 0.8434	LR: 0.100000
Training Epoch: 4 [14592/46250]	Loss: 0.8281	LR: 0.100000
Training Epoch: 4 [14848/46250]	Loss: 0.9304	LR: 0.100000
Training Epoch: 4 [15104/46250]	Loss: 0.9377	LR: 0.100000
Training Epoch: 4 [15360/46250]	Loss: 0.8132	LR: 0.100000
Training Epoch: 4 [15616/46250]	Loss: 0.8845	LR: 0.100000
Training Epoch: 4 [15872/46250]	Loss: 0.8303	LR: 0.100000
Training Epoch: 4 [16128/46250]	Loss: 0.8552	LR: 0.100000
Training Epoch: 4 [16384/46250]	Loss: 0.7748	LR: 0.100000
Training Epoch: 4 [16640/46250]	Loss: 0.9182	LR: 0.100000
Training Epoch: 4 [16896/46250]	Loss: 0.8381	LR: 0.100000
Training Epoch: 4 [17152/46250]	Loss: 0.9532	LR: 0.100000
Training Epoch: 4 [17408/46250]	Loss: 0.8885	LR: 0.100000
Training Epoch: 4 [17664/46250]	Loss: 0.7580	LR: 0.100000
Training Epoch: 4 [17920/46250]	Loss: 0.7495	LR: 0.100000
Training Epoch: 4 [18176/46250]	Loss: 0.8155	LR: 0.100000
Training Epoch: 4 [18432/46250]	Loss: 0.9080	LR: 0.100000
Training Epoch: 4 [18688/46250]	Loss: 0.8042	LR: 0.100000
Training Epoch: 4 [18944/46250]	Loss: 0.8055	LR: 0.100000
Training Epoch: 4 [19200/46250]	Loss: 0.8099	LR: 0.100000
Training Epoch: 4 [19456/46250]	Loss: 0.8277	LR: 0.100000
Training Epoch: 4 [19712/46250]	Loss: 0.7726	LR: 0.100000
Training Epoch: 4 [19968/46250]	Loss: 0.9848	LR: 0.100000
Training Epoch: 4 [20224/46250]	Loss: 0.9456	LR: 0.100000
Training Epoch: 4 [20480/46250]	Loss: 0.9206	LR: 0.100000
Training Epoch: 4 [20736/46250]	Loss: 0.6928	LR: 0.100000
Training Epoch: 4 [20992/46250]	Loss: 0.8281	LR: 0.100000
Training Epoch: 4 [21248/46250]	Loss: 0.9833	LR: 0.100000
Training Epoch: 4 [21504/46250]	Loss: 0.9478	LR: 0.100000
Training Epoch: 4 [21760/46250]	Loss: 0.8125	LR: 0.100000
Training Epoch: 4 [22016/46250]	Loss: 0.9354	LR: 0.100000
Training Epoch: 4 [22272/46250]	Loss: 0.8900	LR: 0.100000
Training Epoch: 4 [22528/46250]	Loss: 0.8084	LR: 0.100000
Training Epoch: 4 [22784/46250]	Loss: 0.7664	LR: 0.100000
Training Epoch: 4 [23040/46250]	Loss: 1.0059	LR: 0.100000
Training Epoch: 4 [23296/46250]	Loss: 0.8794	LR: 0.100000
Training Epoch: 4 [23552/46250]	Loss: 0.8440	LR: 0.100000
Training Epoch: 4 [23808/46250]	Loss: 0.8573	LR: 0.100000
Training Epoch: 4 [24064/46250]	Loss: 0.8580	LR: 0.100000
Training Epoch: 4 [24320/46250]	Loss: 0.7746	LR: 0.100000
Training Epoch: 4 [24576/46250]	Loss: 0.7063	LR: 0.100000
Training Epoch: 4 [24832/46250]	Loss: 0.8880	LR: 0.100000
Training Epoch: 4 [25088/46250]	Loss: 0.9576	LR: 0.100000
Training Epoch: 4 [25344/46250]	Loss: 0.9349	LR: 0.100000
Training Epoch: 4 [25600/46250]	Loss: 0.7892	LR: 0.100000
Training Epoch: 4 [25856/46250]	Loss: 0.9433	LR: 0.100000
Training Epoch: 4 [26112/46250]	Loss: 0.6209	LR: 0.100000
Training Epoch: 4 [26368/46250]	Loss: 0.9099	LR: 0.100000
Training Epoch: 4 [26624/46250]	Loss: 0.7860	LR: 0.100000
Training Epoch: 4 [26880/46250]	Loss: 0.7774	LR: 0.100000
Training Epoch: 4 [27136/46250]	Loss: 0.8340	LR: 0.100000
Training Epoch: 4 [27392/46250]	Loss: 0.7790	LR: 0.100000
Training Epoch: 4 [27648/46250]	Loss: 0.8374	LR: 0.100000
Training Epoch: 4 [27904/46250]	Loss: 0.8010	LR: 0.100000
Training Epoch: 4 [28160/46250]	Loss: 0.8361	LR: 0.100000
Training Epoch: 4 [28416/46250]	Loss: 0.8772	LR: 0.100000
Training Epoch: 4 [28672/46250]	Loss: 0.7720	LR: 0.100000
Training Epoch: 4 [28928/46250]	Loss: 0.8848	LR: 0.100000
Training Epoch: 4 [29184/46250]	Loss: 0.7166	LR: 0.100000
Training Epoch: 4 [29440/46250]	Loss: 0.9121	LR: 0.100000
Training Epoch: 4 [29696/46250]	Loss: 0.8506	LR: 0.100000
Training Epoch: 4 [29952/46250]	Loss: 0.7705	LR: 0.100000
Training Epoch: 4 [30208/46250]	Loss: 0.7621	LR: 0.100000
Training Epoch: 4 [30464/46250]	Loss: 0.6997	LR: 0.100000
Training Epoch: 4 [30720/46250]	Loss: 0.8912	LR: 0.100000
Training Epoch: 4 [30976/46250]	Loss: 0.7342	LR: 0.100000
Training Epoch: 4 [31232/46250]	Loss: 0.6878	LR: 0.100000
Training Epoch: 4 [31488/46250]	Loss: 0.9857	LR: 0.100000
Training Epoch: 4 [31744/46250]	Loss: 0.9220	LR: 0.100000
Training Epoch: 4 [32000/46250]	Loss: 0.8753	LR: 0.100000
Training Epoch: 4 [32256/46250]	Loss: 0.7596	LR: 0.100000
Training Epoch: 4 [32512/46250]	Loss: 0.7049	LR: 0.100000
Training Epoch: 4 [32768/46250]	Loss: 0.8083	LR: 0.100000
Training Epoch: 4 [33024/46250]	Loss: 0.7250	LR: 0.100000
Training Epoch: 4 [33280/46250]	Loss: 0.8536	LR: 0.100000
Training Epoch: 4 [33536/46250]	Loss: 0.7954	LR: 0.100000
Training Epoch: 4 [33792/46250]	Loss: 0.7854	LR: 0.100000
Training Epoch: 4 [34048/46250]	Loss: 0.7996	LR: 0.100000
Training Epoch: 4 [34304/46250]	Loss: 0.8349	LR: 0.100000
Training Epoch: 4 [34560/46250]	Loss: 0.9230	LR: 0.100000
Training Epoch: 4 [34816/46250]	Loss: 0.7698	LR: 0.100000
Training Epoch: 4 [35072/46250]	Loss: 0.6951	LR: 0.100000
Training Epoch: 4 [35328/46250]	Loss: 0.6980	LR: 0.100000
Training Epoch: 4 [35584/46250]	Loss: 0.8153	LR: 0.100000
Training Epoch: 4 [35840/46250]	Loss: 0.9651	LR: 0.100000
Training Epoch: 4 [36096/46250]	Loss: 0.9601	LR: 0.100000
Training Epoch: 4 [36352/46250]	Loss: 0.8153	LR: 0.100000
Training Epoch: 4 [36608/46250]	Loss: 0.8369	LR: 0.100000
Training Epoch: 4 [36864/46250]	Loss: 0.7016	LR: 0.100000
Training Epoch: 4 [37120/46250]	Loss: 0.8387	LR: 0.100000
Training Epoch: 4 [37376/46250]	Loss: 0.8947	LR: 0.100000
Training Epoch: 4 [37632/46250]	Loss: 0.8420	LR: 0.100000
Training Epoch: 4 [37888/46250]	Loss: 0.8639	LR: 0.100000
Training Epoch: 4 [38144/46250]	Loss: 0.6758	LR: 0.100000
Training Epoch: 4 [38400/46250]	Loss: 0.8364	LR: 0.100000
Training Epoch: 4 [38656/46250]	Loss: 0.6935	LR: 0.100000
Training Epoch: 4 [38912/46250]	Loss: 0.7303	LR: 0.100000
Training Epoch: 4 [39168/46250]	Loss: 0.6967	LR: 0.100000
Training Epoch: 4 [39424/46250]	Loss: 0.7431	LR: 0.100000
Training Epoch: 4 [39680/46250]	Loss: 0.7066	LR: 0.100000
Training Epoch: 4 [39936/46250]	Loss: 0.7188	LR: 0.100000
Training Epoch: 4 [40192/46250]	Loss: 0.7587	LR: 0.100000
Training Epoch: 4 [40448/46250]	Loss: 0.6295	LR: 0.100000
Training Epoch: 4 [40704/46250]	Loss: 0.7403	LR: 0.100000
Training Epoch: 4 [40960/46250]	Loss: 0.8600	LR: 0.100000
Training Epoch: 4 [41216/46250]	Loss: 0.6711	LR: 0.100000
Training Epoch: 4 [41472/46250]	Loss: 0.7694	LR: 0.100000
Training Epoch: 4 [41728/46250]	Loss: 0.8556	LR: 0.100000
Training Epoch: 4 [41984/46250]	Loss: 0.8328	LR: 0.100000
Training Epoch: 4 [42240/46250]	Loss: 0.8414	LR: 0.100000
Training Epoch: 4 [42496/46250]	Loss: 0.9160	LR: 0.100000
Training Epoch: 4 [42752/46250]	Loss: 0.9105	LR: 0.100000
Training Epoch: 4 [43008/46250]	Loss: 0.8266	LR: 0.100000
Training Epoch: 4 [43264/46250]	Loss: 0.8255	LR: 0.100000
Training Epoch: 4 [43520/46250]	Loss: 0.8459	LR: 0.100000
Training Epoch: 4 [43776/46250]	Loss: 0.6688	LR: 0.100000
Training Epoch: 4 [44032/46250]	Loss: 0.8062	LR: 0.100000
Training Epoch: 4 [44288/46250]	Loss: 0.8740	LR: 0.100000
Training Epoch: 4 [44544/46250]	Loss: 0.8011	LR: 0.100000
Training Epoch: 4 [44800/46250]	Loss: 0.7493	LR: 0.100000
Training Epoch: 4 [45056/46250]	Loss: 0.7926	LR: 0.100000
Training Epoch: 4 [45312/46250]	Loss: 0.7558	LR: 0.100000
Training Epoch: 4 [45568/46250]	Loss: 0.8221	LR: 0.100000
Training Epoch: 4 [45824/46250]	Loss: 0.8144	LR: 0.100000
Training Epoch: 4 [46080/46250]	Loss: 0.8695	LR: 0.100000
Training Epoch: 4 [46250/46250]	Loss: 0.8357	LR: 0.100000
Epoch 4 - Average Train Loss: 0.8345, Train Accuracy: 0.7064
Epoch 4 training time consumed: 27.84s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0030, Accuracy: 0.7348, Time consumed:0.99s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_08h_24m_45s/ResNet18-Cifar10-seed7-ret25-4-best.pth
Training Epoch: 5 [256/46250]	Loss: 0.7128	LR: 0.100000
Training Epoch: 5 [512/46250]	Loss: 0.7893	LR: 0.100000
Training Epoch: 5 [768/46250]	Loss: 0.7922	LR: 0.100000
Training Epoch: 5 [1024/46250]	Loss: 0.8142	LR: 0.100000
Training Epoch: 5 [1280/46250]	Loss: 0.8261	LR: 0.100000
Training Epoch: 5 [1536/46250]	Loss: 0.6822	LR: 0.100000
Training Epoch: 5 [1792/46250]	Loss: 0.6931	LR: 0.100000
Training Epoch: 5 [2048/46250]	Loss: 0.7618	LR: 0.100000
Training Epoch: 5 [2304/46250]	Loss: 0.9550	LR: 0.100000
Training Epoch: 5 [2560/46250]	Loss: 0.7949	LR: 0.100000
Training Epoch: 5 [2816/46250]	Loss: 0.7260	LR: 0.100000
Training Epoch: 5 [3072/46250]	Loss: 0.6688	LR: 0.100000
Training Epoch: 5 [3328/46250]	Loss: 0.7729	LR: 0.100000
Training Epoch: 5 [3584/46250]	Loss: 0.6448	LR: 0.100000
Training Epoch: 5 [3840/46250]	Loss: 0.6907	LR: 0.100000
Training Epoch: 5 [4096/46250]	Loss: 0.7890	LR: 0.100000
Training Epoch: 5 [4352/46250]	Loss: 0.7563	LR: 0.100000
Training Epoch: 5 [4608/46250]	Loss: 0.6523	LR: 0.100000
Training Epoch: 5 [4864/46250]	Loss: 0.7931	LR: 0.100000
Training Epoch: 5 [5120/46250]	Loss: 0.6493	LR: 0.100000
Training Epoch: 5 [5376/46250]	Loss: 0.7528	LR: 0.100000
Training Epoch: 5 [5632/46250]	Loss: 0.8228	LR: 0.100000
Training Epoch: 5 [5888/46250]	Loss: 0.8305	LR: 0.100000
Training Epoch: 5 [6144/46250]	Loss: 0.7612	LR: 0.100000
Training Epoch: 5 [6400/46250]	Loss: 0.7541	LR: 0.100000
Training Epoch: 5 [6656/46250]	Loss: 0.9328	LR: 0.100000
Training Epoch: 5 [6912/46250]	Loss: 0.7669	LR: 0.100000
Training Epoch: 5 [7168/46250]	Loss: 0.6522	LR: 0.100000
Training Epoch: 5 [7424/46250]	Loss: 0.7617	LR: 0.100000
Training Epoch: 5 [7680/46250]	Loss: 0.7299	LR: 0.100000
Training Epoch: 5 [7936/46250]	Loss: 0.7072	LR: 0.100000
Training Epoch: 5 [8192/46250]	Loss: 0.7707	LR: 0.100000
Training Epoch: 5 [8448/46250]	Loss: 0.7464	LR: 0.100000
Training Epoch: 5 [8704/46250]	Loss: 0.6332	LR: 0.100000
Training Epoch: 5 [8960/46250]	Loss: 0.7865	LR: 0.100000
Training Epoch: 5 [9216/46250]	Loss: 0.7126	LR: 0.100000
Training Epoch: 5 [9472/46250]	Loss: 0.6719	LR: 0.100000
Training Epoch: 5 [9728/46250]	Loss: 0.7781	LR: 0.100000
Training Epoch: 5 [9984/46250]	Loss: 0.8004	LR: 0.100000
Training Epoch: 5 [10240/46250]	Loss: 0.8743	LR: 0.100000
Training Epoch: 5 [10496/46250]	Loss: 0.6619	LR: 0.100000
Training Epoch: 5 [10752/46250]	Loss: 0.8394	LR: 0.100000
Training Epoch: 5 [11008/46250]	Loss: 0.8503	LR: 0.100000
Training Epoch: 5 [11264/46250]	Loss: 0.7222	LR: 0.100000
Training Epoch: 5 [11520/46250]	Loss: 0.7437	LR: 0.100000
Training Epoch: 5 [11776/46250]	Loss: 0.6478	LR: 0.100000
Training Epoch: 5 [12032/46250]	Loss: 0.6821	LR: 0.100000
Training Epoch: 5 [12288/46250]	Loss: 0.6510	LR: 0.100000
Training Epoch: 5 [12544/46250]	Loss: 0.7517	LR: 0.100000
Training Epoch: 5 [12800/46250]	Loss: 0.6873	LR: 0.100000
Training Epoch: 5 [13056/46250]	Loss: 0.7661	LR: 0.100000
Training Epoch: 5 [13312/46250]	Loss: 0.5992	LR: 0.100000
Training Epoch: 5 [13568/46250]	Loss: 0.7145	LR: 0.100000
Training Epoch: 5 [13824/46250]	Loss: 0.8381	LR: 0.100000
Training Epoch: 5 [14080/46250]	Loss: 0.7509	LR: 0.100000
Training Epoch: 5 [14336/46250]	Loss: 0.7618	LR: 0.100000
Training Epoch: 5 [14592/46250]	Loss: 0.7859	LR: 0.100000
Training Epoch: 5 [14848/46250]	Loss: 0.6729	LR: 0.100000
Training Epoch: 5 [15104/46250]	Loss: 0.7037	LR: 0.100000
Training Epoch: 5 [15360/46250]	Loss: 0.7322	LR: 0.100000
Training Epoch: 5 [15616/46250]	Loss: 0.5685	LR: 0.100000
Training Epoch: 5 [15872/46250]	Loss: 0.7994	LR: 0.100000
Training Epoch: 5 [16128/46250]	Loss: 0.6567	LR: 0.100000
Training Epoch: 5 [16384/46250]	Loss: 0.7224	LR: 0.100000
Training Epoch: 5 [16640/46250]	Loss: 0.8166	LR: 0.100000
Training Epoch: 5 [16896/46250]	Loss: 0.6780	LR: 0.100000
Training Epoch: 5 [17152/46250]	Loss: 0.6808	LR: 0.100000
Training Epoch: 5 [17408/46250]	Loss: 0.6551	LR: 0.100000
Training Epoch: 5 [17664/46250]	Loss: 0.7602	LR: 0.100000
Training Epoch: 5 [17920/46250]	Loss: 0.7064	LR: 0.100000
Training Epoch: 5 [18176/46250]	Loss: 0.7010	LR: 0.100000
Training Epoch: 5 [18432/46250]	Loss: 0.6583	LR: 0.100000
Training Epoch: 5 [18688/46250]	Loss: 0.6490	LR: 0.100000
Training Epoch: 5 [18944/46250]	Loss: 0.7490	LR: 0.100000
Training Epoch: 5 [19200/46250]	Loss: 0.7457	LR: 0.100000
Training Epoch: 5 [19456/46250]	Loss: 0.6898	LR: 0.100000
Training Epoch: 5 [19712/46250]	Loss: 0.6482	LR: 0.100000
Training Epoch: 5 [19968/46250]	Loss: 0.6829	LR: 0.100000
Training Epoch: 5 [20224/46250]	Loss: 0.6319	LR: 0.100000
Training Epoch: 5 [20480/46250]	Loss: 0.9249	LR: 0.100000
Training Epoch: 5 [20736/46250]	Loss: 0.8297	LR: 0.100000
Training Epoch: 5 [20992/46250]	Loss: 0.7945	LR: 0.100000
Training Epoch: 5 [21248/46250]	Loss: 0.6347	LR: 0.100000
Training Epoch: 5 [21504/46250]	Loss: 0.8085	LR: 0.100000
Training Epoch: 5 [21760/46250]	Loss: 0.7035	LR: 0.100000
Training Epoch: 5 [22016/46250]	Loss: 0.7362	LR: 0.100000
Training Epoch: 5 [22272/46250]	Loss: 0.7062	LR: 0.100000
Training Epoch: 5 [22528/46250]	Loss: 0.7465	LR: 0.100000
Training Epoch: 5 [22784/46250]	Loss: 0.6458	LR: 0.100000
Training Epoch: 5 [23040/46250]	Loss: 0.8001	LR: 0.100000
Training Epoch: 5 [23296/46250]	Loss: 0.5290	LR: 0.100000
Training Epoch: 5 [23552/46250]	Loss: 0.6345	LR: 0.100000
Training Epoch: 5 [23808/46250]	Loss: 0.7679	LR: 0.100000
Training Epoch: 5 [24064/46250]	Loss: 0.8275	LR: 0.100000
Training Epoch: 5 [24320/46250]	Loss: 0.8385	LR: 0.100000
Training Epoch: 5 [24576/46250]	Loss: 0.6380	LR: 0.100000
Training Epoch: 5 [24832/46250]	Loss: 0.7721	LR: 0.100000
Training Epoch: 5 [25088/46250]	Loss: 0.7922	LR: 0.100000
Training Epoch: 5 [25344/46250]	Loss: 0.6893	LR: 0.100000
Training Epoch: 5 [25600/46250]	Loss: 0.7965	LR: 0.100000
Training Epoch: 5 [25856/46250]	Loss: 0.7017	LR: 0.100000
Training Epoch: 5 [26112/46250]	Loss: 0.7400	LR: 0.100000
Training Epoch: 5 [26368/46250]	Loss: 0.6781	LR: 0.100000
Training Epoch: 5 [26624/46250]	Loss: 0.7866	LR: 0.100000
Training Epoch: 5 [26880/46250]	Loss: 0.6485	LR: 0.100000
Training Epoch: 5 [27136/46250]	Loss: 0.7580	LR: 0.100000
Training Epoch: 5 [27392/46250]	Loss: 0.6987	LR: 0.100000
Training Epoch: 5 [27648/46250]	Loss: 0.6994	LR: 0.100000
Training Epoch: 5 [27904/46250]	Loss: 0.6648	LR: 0.100000
Training Epoch: 5 [28160/46250]	Loss: 0.8046	LR: 0.100000
Training Epoch: 5 [28416/46250]	Loss: 0.8111	LR: 0.100000
Training Epoch: 5 [28672/46250]	Loss: 0.8666	LR: 0.100000
Training Epoch: 5 [28928/46250]	Loss: 0.6261	LR: 0.100000
Training Epoch: 5 [29184/46250]	Loss: 0.8624	LR: 0.100000
Training Epoch: 5 [29440/46250]	Loss: 0.8696	LR: 0.100000
Training Epoch: 5 [29696/46250]	Loss: 0.5694	LR: 0.100000
Training Epoch: 5 [29952/46250]	Loss: 0.7444	LR: 0.100000
Training Epoch: 5 [30208/46250]	Loss: 0.6744	LR: 0.100000
Training Epoch: 5 [30464/46250]	Loss: 0.7123	LR: 0.100000
Training Epoch: 5 [30720/46250]	Loss: 0.7324	LR: 0.100000
Training Epoch: 5 [30976/46250]	Loss: 0.7620	LR: 0.100000
Training Epoch: 5 [31232/46250]	Loss: 0.6394	LR: 0.100000
Training Epoch: 5 [31488/46250]	Loss: 0.6762	LR: 0.100000
Training Epoch: 5 [31744/46250]	Loss: 0.7924	LR: 0.100000
Training Epoch: 5 [32000/46250]	Loss: 0.6205	LR: 0.100000
Training Epoch: 5 [32256/46250]	Loss: 0.7231	LR: 0.100000
Training Epoch: 5 [32512/46250]	Loss: 0.7584	LR: 0.100000
Training Epoch: 5 [32768/46250]	Loss: 0.7412	LR: 0.100000
Training Epoch: 5 [33024/46250]	Loss: 0.6528	LR: 0.100000
Training Epoch: 5 [33280/46250]	Loss: 0.6998	LR: 0.100000
Training Epoch: 5 [33536/46250]	Loss: 0.6592	LR: 0.100000
Training Epoch: 5 [33792/46250]	Loss: 0.8473	LR: 0.100000
Training Epoch: 5 [34048/46250]	Loss: 0.8089	LR: 0.100000
Training Epoch: 5 [34304/46250]	Loss: 0.6451	LR: 0.100000
Training Epoch: 5 [34560/46250]	Loss: 0.6248	LR: 0.100000
Training Epoch: 5 [34816/46250]	Loss: 0.6340	LR: 0.100000
Training Epoch: 5 [35072/46250]	Loss: 0.6711	LR: 0.100000
Training Epoch: 5 [35328/46250]	Loss: 0.7942	LR: 0.100000
Training Epoch: 5 [35584/46250]	Loss: 0.7853	LR: 0.100000
Training Epoch: 5 [35840/46250]	Loss: 0.7045	LR: 0.100000
Training Epoch: 5 [36096/46250]	Loss: 0.6693	LR: 0.100000
Training Epoch: 5 [36352/46250]	Loss: 0.7999	LR: 0.100000
Training Epoch: 5 [36608/46250]	Loss: 0.7542	LR: 0.100000
Training Epoch: 5 [36864/46250]	Loss: 0.6068	LR: 0.100000
Training Epoch: 5 [37120/46250]	Loss: 0.8375	LR: 0.100000
Training Epoch: 5 [37376/46250]	Loss: 0.7239	LR: 0.100000
Training Epoch: 5 [37632/46250]	Loss: 0.7374	LR: 0.100000
Training Epoch: 5 [37888/46250]	Loss: 0.7763	LR: 0.100000
Training Epoch: 5 [38144/46250]	Loss: 0.8653	LR: 0.100000
Training Epoch: 5 [38400/46250]	Loss: 0.7624	LR: 0.100000
Training Epoch: 5 [38656/46250]	Loss: 0.6505	LR: 0.100000
Training Epoch: 5 [38912/46250]	Loss: 0.6825	LR: 0.100000
Training Epoch: 5 [39168/46250]	Loss: 0.7202	LR: 0.100000
Training Epoch: 5 [39424/46250]	Loss: 0.7955	LR: 0.100000
Training Epoch: 5 [39680/46250]	Loss: 0.7036	LR: 0.100000
Training Epoch: 5 [39936/46250]	Loss: 0.8313	LR: 0.100000
Training Epoch: 5 [40192/46250]	Loss: 0.7738	LR: 0.100000
Training Epoch: 5 [40448/46250]	Loss: 0.7548	LR: 0.100000
Training Epoch: 5 [40704/46250]	Loss: 0.7487	LR: 0.100000
Training Epoch: 5 [40960/46250]	Loss: 0.9094	LR: 0.100000
Training Epoch: 5 [41216/46250]	Loss: 0.7095	LR: 0.100000
Training Epoch: 5 [41472/46250]	Loss: 0.8229	LR: 0.100000
Training Epoch: 5 [41728/46250]	Loss: 0.7194	LR: 0.100000
Training Epoch: 5 [41984/46250]	Loss: 0.7015	LR: 0.100000
Training Epoch: 5 [42240/46250]	Loss: 0.7246	LR: 0.100000
Training Epoch: 5 [42496/46250]	Loss: 0.7557	LR: 0.100000
Training Epoch: 5 [42752/46250]	Loss: 0.7918	LR: 0.100000
Training Epoch: 5 [43008/46250]	Loss: 0.6854	LR: 0.100000
Training Epoch: 5 [43264/46250]	Loss: 0.7696	LR: 0.100000
Training Epoch: 5 [43520/46250]	Loss: 0.6437	LR: 0.100000
Training Epoch: 5 [43776/46250]	Loss: 0.7561	LR: 0.100000
Training Epoch: 5 [44032/46250]	Loss: 0.6573	LR: 0.100000
Training Epoch: 5 [44288/46250]	Loss: 0.6696	LR: 0.100000
Training Epoch: 5 [44544/46250]	Loss: 0.6186	LR: 0.100000
Training Epoch: 5 [44800/46250]	Loss: 0.6040	LR: 0.100000
Training Epoch: 5 [45056/46250]	Loss: 0.5904	LR: 0.100000
Training Epoch: 5 [45312/46250]	Loss: 0.6929	LR: 0.100000
Training Epoch: 5 [45568/46250]	Loss: 0.5926	LR: 0.100000
Training Epoch: 5 [45824/46250]	Loss: 0.6246	LR: 0.100000
Training Epoch: 5 [46080/46250]	Loss: 0.6209	LR: 0.100000
Training Epoch: 5 [46250/46250]	Loss: 0.7332	LR: 0.100000
Epoch 5 - Average Train Loss: 0.7296, Train Accuracy: 0.7441
Epoch 5 training time consumed: 28.34s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0029, Accuracy: 0.7521, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_08h_24m_45s/ResNet18-Cifar10-seed7-ret25-5-best.pth
Training Epoch: 6 [256/46250]	Loss: 0.7015	LR: 0.100000
Training Epoch: 6 [512/46250]	Loss: 0.6944	LR: 0.100000
Training Epoch: 6 [768/46250]	Loss: 0.8039	LR: 0.100000
Training Epoch: 6 [1024/46250]	Loss: 0.5911	LR: 0.100000
Training Epoch: 6 [1280/46250]	Loss: 0.8550	LR: 0.100000
Training Epoch: 6 [1536/46250]	Loss: 0.6699	LR: 0.100000
Training Epoch: 6 [1792/46250]	Loss: 0.6267	LR: 0.100000
Training Epoch: 6 [2048/46250]	Loss: 0.6390	LR: 0.100000
Training Epoch: 6 [2304/46250]	Loss: 0.8580	LR: 0.100000
Training Epoch: 6 [2560/46250]	Loss: 0.6374	LR: 0.100000
Training Epoch: 6 [2816/46250]	Loss: 0.7089	LR: 0.100000
Training Epoch: 6 [3072/46250]	Loss: 0.6157	LR: 0.100000
Training Epoch: 6 [3328/46250]	Loss: 0.6835	LR: 0.100000
Training Epoch: 6 [3584/46250]	Loss: 0.5470	LR: 0.100000
Training Epoch: 6 [3840/46250]	Loss: 0.7545	LR: 0.100000
Training Epoch: 6 [4096/46250]	Loss: 0.6891	LR: 0.100000
Training Epoch: 6 [4352/46250]	Loss: 0.7217	LR: 0.100000
Training Epoch: 6 [4608/46250]	Loss: 0.5712	LR: 0.100000
Training Epoch: 6 [4864/46250]	Loss: 0.6802	LR: 0.100000
Training Epoch: 6 [5120/46250]	Loss: 0.6456	LR: 0.100000
Training Epoch: 6 [5376/46250]	Loss: 0.7659	LR: 0.100000
Training Epoch: 6 [5632/46250]	Loss: 0.6355	LR: 0.100000
Training Epoch: 6 [5888/46250]	Loss: 0.7880	LR: 0.100000
Training Epoch: 6 [6144/46250]	Loss: 0.5503	LR: 0.100000
Training Epoch: 6 [6400/46250]	Loss: 0.6963	LR: 0.100000
Training Epoch: 6 [6656/46250]	Loss: 0.6133	LR: 0.100000
Training Epoch: 6 [6912/46250]	Loss: 0.7591	LR: 0.100000
Training Epoch: 6 [7168/46250]	Loss: 0.6260	LR: 0.100000
Training Epoch: 6 [7424/46250]	Loss: 0.7396	LR: 0.100000
Training Epoch: 6 [7680/46250]	Loss: 0.6107	LR: 0.100000
Training Epoch: 6 [7936/46250]	Loss: 0.6746	LR: 0.100000
Training Epoch: 6 [8192/46250]	Loss: 0.6059	LR: 0.100000
Training Epoch: 6 [8448/46250]	Loss: 0.6026	LR: 0.100000
Training Epoch: 6 [8704/46250]	Loss: 0.7629	LR: 0.100000
Training Epoch: 6 [8960/46250]	Loss: 0.6630	LR: 0.100000
Training Epoch: 6 [9216/46250]	Loss: 0.6144	LR: 0.100000
Training Epoch: 6 [9472/46250]	Loss: 0.6290	LR: 0.100000
Training Epoch: 6 [9728/46250]	Loss: 0.6775	LR: 0.100000
Training Epoch: 6 [9984/46250]	Loss: 0.7625	LR: 0.100000
Training Epoch: 6 [10240/46250]	Loss: 0.6577	LR: 0.100000
Training Epoch: 6 [10496/46250]	Loss: 0.7164	LR: 0.100000
Training Epoch: 6 [10752/46250]	Loss: 0.6785	LR: 0.100000
Training Epoch: 6 [11008/46250]	Loss: 0.8042	LR: 0.100000
Training Epoch: 6 [11264/46250]	Loss: 0.7283	LR: 0.100000
Training Epoch: 6 [11520/46250]	Loss: 0.6719	LR: 0.100000
Training Epoch: 6 [11776/46250]	Loss: 0.6680	LR: 0.100000
Training Epoch: 6 [12032/46250]	Loss: 0.6567	LR: 0.100000
Training Epoch: 6 [12288/46250]	Loss: 0.7454	LR: 0.100000
Training Epoch: 6 [12544/46250]	Loss: 0.7510	LR: 0.100000
Training Epoch: 6 [12800/46250]	Loss: 0.7437	LR: 0.100000
Training Epoch: 6 [13056/46250]	Loss: 0.7094	LR: 0.100000
Training Epoch: 6 [13312/46250]	Loss: 0.6947	LR: 0.100000
Training Epoch: 6 [13568/46250]	Loss: 0.7203	LR: 0.100000
Training Epoch: 6 [13824/46250]	Loss: 0.6792	LR: 0.100000
Training Epoch: 6 [14080/46250]	Loss: 0.6203	LR: 0.100000
Training Epoch: 6 [14336/46250]	Loss: 0.6650	LR: 0.100000
Training Epoch: 6 [14592/46250]	Loss: 0.7392	LR: 0.100000
Training Epoch: 6 [14848/46250]	Loss: 0.6320	LR: 0.100000
Training Epoch: 6 [15104/46250]	Loss: 0.6918	LR: 0.100000
Training Epoch: 6 [15360/46250]	Loss: 0.6794	LR: 0.100000
Training Epoch: 6 [15616/46250]	Loss: 0.5923	LR: 0.100000
Training Epoch: 6 [15872/46250]	Loss: 0.7515	LR: 0.100000
Training Epoch: 6 [16128/46250]	Loss: 0.5709	LR: 0.100000
Training Epoch: 6 [16384/46250]	Loss: 0.6888	LR: 0.100000
Training Epoch: 6 [16640/46250]	Loss: 0.7250	LR: 0.100000
Training Epoch: 6 [16896/46250]	Loss: 0.5785	LR: 0.100000
Training Epoch: 6 [17152/46250]	Loss: 0.5870	LR: 0.100000
Training Epoch: 6 [17408/46250]	Loss: 0.5995	LR: 0.100000
Training Epoch: 6 [17664/46250]	Loss: 0.6603	LR: 0.100000
Training Epoch: 6 [17920/46250]	Loss: 0.7540	LR: 0.100000
Training Epoch: 6 [18176/46250]	Loss: 0.7464	LR: 0.100000
Training Epoch: 6 [18432/46250]	Loss: 0.6105	LR: 0.100000
Training Epoch: 6 [18688/46250]	Loss: 0.7179	LR: 0.100000
Training Epoch: 6 [18944/46250]	Loss: 0.5740	LR: 0.100000
Training Epoch: 6 [19200/46250]	Loss: 0.6303	LR: 0.100000
Training Epoch: 6 [19456/46250]	Loss: 0.7444	LR: 0.100000
Training Epoch: 6 [19712/46250]	Loss: 0.5949	LR: 0.100000
Training Epoch: 6 [19968/46250]	Loss: 0.6051	LR: 0.100000
Training Epoch: 6 [20224/46250]	Loss: 0.6805	LR: 0.100000
Training Epoch: 6 [20480/46250]	Loss: 0.7224	LR: 0.100000
Training Epoch: 6 [20736/46250]	Loss: 0.6301	LR: 0.100000
Training Epoch: 6 [20992/46250]	Loss: 0.6896	LR: 0.100000
Training Epoch: 6 [21248/46250]	Loss: 0.7134	LR: 0.100000
Training Epoch: 6 [21504/46250]	Loss: 0.6089	LR: 0.100000
Training Epoch: 6 [21760/46250]	Loss: 0.6711	LR: 0.100000
Training Epoch: 6 [22016/46250]	Loss: 0.5477	LR: 0.100000
Training Epoch: 6 [22272/46250]	Loss: 0.6349	LR: 0.100000
Training Epoch: 6 [22528/46250]	Loss: 0.7144	LR: 0.100000
Training Epoch: 6 [22784/46250]	Loss: 0.6720	LR: 0.100000
Training Epoch: 6 [23040/46250]	Loss: 0.5891	LR: 0.100000
Training Epoch: 6 [23296/46250]	Loss: 0.6263	LR: 0.100000
Training Epoch: 6 [23552/46250]	Loss: 0.6234	LR: 0.100000
Training Epoch: 6 [23808/46250]	Loss: 0.6649	LR: 0.100000
Training Epoch: 6 [24064/46250]	Loss: 0.7216	LR: 0.100000
Training Epoch: 6 [24320/46250]	Loss: 0.5865	LR: 0.100000
Training Epoch: 6 [24576/46250]	Loss: 0.6461	LR: 0.100000
Training Epoch: 6 [24832/46250]	Loss: 0.6336	LR: 0.100000
Training Epoch: 6 [25088/46250]	Loss: 0.6585	LR: 0.100000
Training Epoch: 6 [25344/46250]	Loss: 0.6570	LR: 0.100000
Training Epoch: 6 [25600/46250]	Loss: 0.5866	LR: 0.100000
Training Epoch: 6 [25856/46250]	Loss: 0.6292	LR: 0.100000
Training Epoch: 6 [26112/46250]	Loss: 0.6184	LR: 0.100000
Training Epoch: 6 [26368/46250]	Loss: 0.5455	LR: 0.100000
Training Epoch: 6 [26624/46250]	Loss: 0.8128	LR: 0.100000
Training Epoch: 6 [26880/46250]	Loss: 0.7284	LR: 0.100000
Training Epoch: 6 [27136/46250]	Loss: 0.5822	LR: 0.100000
Training Epoch: 6 [27392/46250]	Loss: 0.5315	LR: 0.100000
Training Epoch: 6 [27648/46250]	Loss: 0.6998	LR: 0.100000
Training Epoch: 6 [27904/46250]	Loss: 0.6069	LR: 0.100000
Training Epoch: 6 [28160/46250]	Loss: 0.6732	LR: 0.100000
Training Epoch: 6 [28416/46250]	Loss: 0.5387	LR: 0.100000
Training Epoch: 6 [28672/46250]	Loss: 0.5575	LR: 0.100000
Training Epoch: 6 [28928/46250]	Loss: 0.6518	LR: 0.100000
Training Epoch: 6 [29184/46250]	Loss: 0.6321	LR: 0.100000
Training Epoch: 6 [29440/46250]	Loss: 0.5900	LR: 0.100000
Training Epoch: 6 [29696/46250]	Loss: 0.6514	LR: 0.100000
Training Epoch: 6 [29952/46250]	Loss: 0.7330	LR: 0.100000
Training Epoch: 6 [30208/46250]	Loss: 0.6174	LR: 0.100000
Training Epoch: 6 [30464/46250]	Loss: 0.7374	LR: 0.100000
Training Epoch: 6 [30720/46250]	Loss: 0.6309	LR: 0.100000
Training Epoch: 6 [30976/46250]	Loss: 0.6762	LR: 0.100000
Training Epoch: 6 [31232/46250]	Loss: 0.6842	LR: 0.100000
Training Epoch: 6 [31488/46250]	Loss: 0.5666	LR: 0.100000
Training Epoch: 6 [31744/46250]	Loss: 0.5516	LR: 0.100000
Training Epoch: 6 [32000/46250]	Loss: 0.6438	LR: 0.100000
Training Epoch: 6 [32256/46250]	Loss: 0.6344	LR: 0.100000
Training Epoch: 6 [32512/46250]	Loss: 0.6239	LR: 0.100000
Training Epoch: 6 [32768/46250]	Loss: 0.6951	LR: 0.100000
Training Epoch: 6 [33024/46250]	Loss: 0.6251	LR: 0.100000
Training Epoch: 6 [33280/46250]	Loss: 0.6569	LR: 0.100000
Training Epoch: 6 [33536/46250]	Loss: 0.6280	LR: 0.100000
Training Epoch: 6 [33792/46250]	Loss: 0.7568	LR: 0.100000
Training Epoch: 6 [34048/46250]	Loss: 0.6760	LR: 0.100000
Training Epoch: 6 [34304/46250]	Loss: 0.5581	LR: 0.100000
Training Epoch: 6 [34560/46250]	Loss: 0.6279	LR: 0.100000
Training Epoch: 6 [34816/46250]	Loss: 0.7390	LR: 0.100000
Training Epoch: 6 [35072/46250]	Loss: 0.6093	LR: 0.100000
Training Epoch: 6 [35328/46250]	Loss: 0.5370	LR: 0.100000
Training Epoch: 6 [35584/46250]	Loss: 0.5989	LR: 0.100000
Training Epoch: 6 [35840/46250]	Loss: 0.6755	LR: 0.100000
Training Epoch: 6 [36096/46250]	Loss: 0.6619	LR: 0.100000
Training Epoch: 6 [36352/46250]	Loss: 0.6281	LR: 0.100000
Training Epoch: 6 [36608/46250]	Loss: 0.7475	LR: 0.100000
Training Epoch: 6 [36864/46250]	Loss: 0.7248	LR: 0.100000
Training Epoch: 6 [37120/46250]	Loss: 0.6772	LR: 0.100000
Training Epoch: 6 [37376/46250]	Loss: 0.5988	LR: 0.100000
Training Epoch: 6 [37632/46250]	Loss: 0.6749	LR: 0.100000
Training Epoch: 6 [37888/46250]	Loss: 0.6693	LR: 0.100000
Training Epoch: 6 [38144/46250]	Loss: 0.5908	LR: 0.100000
Training Epoch: 6 [38400/46250]	Loss: 0.6072	LR: 0.100000
Training Epoch: 6 [38656/46250]	Loss: 0.6786	LR: 0.100000
Training Epoch: 6 [38912/46250]	Loss: 0.6579	LR: 0.100000
Training Epoch: 6 [39168/46250]	Loss: 0.6156	LR: 0.100000
Training Epoch: 6 [39424/46250]	Loss: 0.6609	LR: 0.100000
Training Epoch: 6 [39680/46250]	Loss: 0.6044	LR: 0.100000
Training Epoch: 6 [39936/46250]	Loss: 0.6302	LR: 0.100000
Training Epoch: 6 [40192/46250]	Loss: 0.6139	LR: 0.100000
Training Epoch: 6 [40448/46250]	Loss: 0.7307	LR: 0.100000
Training Epoch: 6 [40704/46250]	Loss: 0.6806	LR: 0.100000
Training Epoch: 6 [40960/46250]	Loss: 0.7087	LR: 0.100000
Training Epoch: 6 [41216/46250]	Loss: 0.7682	LR: 0.100000
Training Epoch: 6 [41472/46250]	Loss: 0.5596	LR: 0.100000
Training Epoch: 6 [41728/46250]	Loss: 0.5609	LR: 0.100000
Training Epoch: 6 [41984/46250]	Loss: 0.6726	LR: 0.100000
Training Epoch: 6 [42240/46250]	Loss: 0.6258	LR: 0.100000
Training Epoch: 6 [42496/46250]	Loss: 0.7424	LR: 0.100000
Training Epoch: 6 [42752/46250]	Loss: 0.7205	LR: 0.100000
Training Epoch: 6 [43008/46250]	Loss: 0.5789	LR: 0.100000
Training Epoch: 6 [43264/46250]	Loss: 0.7425	LR: 0.100000
Training Epoch: 6 [43520/46250]	Loss: 0.6314	LR: 0.100000
Training Epoch: 6 [43776/46250]	Loss: 0.6637	LR: 0.100000
Training Epoch: 6 [44032/46250]	Loss: 0.6699	LR: 0.100000
Training Epoch: 6 [44288/46250]	Loss: 0.5800	LR: 0.100000
Training Epoch: 6 [44544/46250]	Loss: 0.7450	LR: 0.100000
Training Epoch: 6 [44800/46250]	Loss: 0.7308	LR: 0.100000
Training Epoch: 6 [45056/46250]	Loss: 0.7390	LR: 0.100000
Training Epoch: 6 [45312/46250]	Loss: 0.7474	LR: 0.100000
Training Epoch: 6 [45568/46250]	Loss: 0.7330	LR: 0.100000
Training Epoch: 6 [45824/46250]	Loss: 0.7235	LR: 0.100000
Training Epoch: 6 [46080/46250]	Loss: 0.5712	LR: 0.100000
Training Epoch: 6 [46250/46250]	Loss: 0.7146	LR: 0.100000
Epoch 6 - Average Train Loss: 0.6632, Train Accuracy: 0.7691
Epoch 6 training time consumed: 27.99s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0030, Accuracy: 0.7498, Time consumed:1.06s
Training Epoch: 7 [256/46250]	Loss: 0.6658	LR: 0.100000
Training Epoch: 7 [512/46250]	Loss: 0.7363	LR: 0.100000
Training Epoch: 7 [768/46250]	Loss: 0.6837	LR: 0.100000
Training Epoch: 7 [1024/46250]	Loss: 0.7103	LR: 0.100000
Training Epoch: 7 [1280/46250]	Loss: 0.5852	LR: 0.100000
Training Epoch: 7 [1536/46250]	Loss: 0.5991	LR: 0.100000
Training Epoch: 7 [1792/46250]	Loss: 0.6982	LR: 0.100000
Training Epoch: 7 [2048/46250]	Loss: 0.6457	LR: 0.100000
Training Epoch: 7 [2304/46250]	Loss: 0.5714	LR: 0.100000
Training Epoch: 7 [2560/46250]	Loss: 0.7049	LR: 0.100000
Training Epoch: 7 [2816/46250]	Loss: 0.6534	LR: 0.100000
Training Epoch: 7 [3072/46250]	Loss: 0.6785	LR: 0.100000
Training Epoch: 7 [3328/46250]	Loss: 0.6167	LR: 0.100000
Training Epoch: 7 [3584/46250]	Loss: 0.6004	LR: 0.100000
Training Epoch: 7 [3840/46250]	Loss: 0.5238	LR: 0.100000
Training Epoch: 7 [4096/46250]	Loss: 0.6607	LR: 0.100000
Training Epoch: 7 [4352/46250]	Loss: 0.6575	LR: 0.100000
Training Epoch: 7 [4608/46250]	Loss: 0.7052	LR: 0.100000
Training Epoch: 7 [4864/46250]	Loss: 0.7224	LR: 0.100000
Training Epoch: 7 [5120/46250]	Loss: 0.6965	LR: 0.100000
Training Epoch: 7 [5376/46250]	Loss: 0.6341	LR: 0.100000
Training Epoch: 7 [5632/46250]	Loss: 0.5607	LR: 0.100000
Training Epoch: 7 [5888/46250]	Loss: 0.6956	LR: 0.100000
Training Epoch: 7 [6144/46250]	Loss: 0.5967	LR: 0.100000
Training Epoch: 7 [6400/46250]	Loss: 0.6481	LR: 0.100000
Training Epoch: 7 [6656/46250]	Loss: 0.7229	LR: 0.100000
Training Epoch: 7 [6912/46250]	Loss: 0.7041	LR: 0.100000
Training Epoch: 7 [7168/46250]	Loss: 0.6363	LR: 0.100000
Training Epoch: 7 [7424/46250]	Loss: 0.5863	LR: 0.100000
Training Epoch: 7 [7680/46250]	Loss: 0.5559	LR: 0.100000
Training Epoch: 7 [7936/46250]	Loss: 0.6291	LR: 0.100000
Training Epoch: 7 [8192/46250]	Loss: 0.6927	LR: 0.100000
Training Epoch: 7 [8448/46250]	Loss: 0.6151	LR: 0.100000
Training Epoch: 7 [8704/46250]	Loss: 0.5295	LR: 0.100000
Training Epoch: 7 [8960/46250]	Loss: 0.6755	LR: 0.100000
Training Epoch: 7 [9216/46250]	Loss: 0.5370	LR: 0.100000
Training Epoch: 7 [9472/46250]	Loss: 0.6341	LR: 0.100000
Training Epoch: 7 [9728/46250]	Loss: 0.6015	LR: 0.100000
Training Epoch: 7 [9984/46250]	Loss: 0.6068	LR: 0.100000
Training Epoch: 7 [10240/46250]	Loss: 0.6245	LR: 0.100000
Training Epoch: 7 [10496/46250]	Loss: 0.5161	LR: 0.100000
Training Epoch: 7 [10752/46250]	Loss: 0.5540	LR: 0.100000
Training Epoch: 7 [11008/46250]	Loss: 0.5270	LR: 0.100000
Training Epoch: 7 [11264/46250]	Loss: 0.5852	LR: 0.100000
Training Epoch: 7 [11520/46250]	Loss: 0.7503	LR: 0.100000
Training Epoch: 7 [11776/46250]	Loss: 0.5968	LR: 0.100000
Training Epoch: 7 [12032/46250]	Loss: 0.5252	LR: 0.100000
Training Epoch: 7 [12288/46250]	Loss: 0.5412	LR: 0.100000
Training Epoch: 7 [12544/46250]	Loss: 0.5324	LR: 0.100000
Training Epoch: 7 [12800/46250]	Loss: 0.6460	LR: 0.100000
Training Epoch: 7 [13056/46250]	Loss: 0.6340	LR: 0.100000
Training Epoch: 7 [13312/46250]	Loss: 0.6064	LR: 0.100000
Training Epoch: 7 [13568/46250]	Loss: 0.6118	LR: 0.100000
Training Epoch: 7 [13824/46250]	Loss: 0.6329	LR: 0.100000
Training Epoch: 7 [14080/46250]	Loss: 0.5987	LR: 0.100000
Training Epoch: 7 [14336/46250]	Loss: 0.4754	LR: 0.100000
Training Epoch: 7 [14592/46250]	Loss: 0.6929	LR: 0.100000
Training Epoch: 7 [14848/46250]	Loss: 0.6209	LR: 0.100000
Training Epoch: 7 [15104/46250]	Loss: 0.6133	LR: 0.100000
Training Epoch: 7 [15360/46250]	Loss: 0.8161	LR: 0.100000
Training Epoch: 7 [15616/46250]	Loss: 0.7509	LR: 0.100000
Training Epoch: 7 [15872/46250]	Loss: 0.6730	LR: 0.100000
Training Epoch: 7 [16128/46250]	Loss: 0.4851	LR: 0.100000
Training Epoch: 7 [16384/46250]	Loss: 0.6489	LR: 0.100000
Training Epoch: 7 [16640/46250]	Loss: 0.5784	LR: 0.100000
Training Epoch: 7 [16896/46250]	Loss: 0.6432	LR: 0.100000
Training Epoch: 7 [17152/46250]	Loss: 0.5663	LR: 0.100000
Training Epoch: 7 [17408/46250]	Loss: 0.5036	LR: 0.100000
Training Epoch: 7 [17664/46250]	Loss: 0.6523	LR: 0.100000
Training Epoch: 7 [17920/46250]	Loss: 0.5283	LR: 0.100000
Training Epoch: 7 [18176/46250]	Loss: 0.5948	LR: 0.100000
Training Epoch: 7 [18432/46250]	Loss: 0.5515	LR: 0.100000
Training Epoch: 7 [18688/46250]	Loss: 0.6882	LR: 0.100000
Training Epoch: 7 [18944/46250]	Loss: 0.5639	LR: 0.100000
Training Epoch: 7 [19200/46250]	Loss: 0.5811	LR: 0.100000
Training Epoch: 7 [19456/46250]	Loss: 0.5663	LR: 0.100000
Training Epoch: 7 [19712/46250]	Loss: 0.5314	LR: 0.100000
Training Epoch: 7 [19968/46250]	Loss: 0.6499	LR: 0.100000
Training Epoch: 7 [20224/46250]	Loss: 0.5562	LR: 0.100000
Training Epoch: 7 [20480/46250]	Loss: 0.6354	LR: 0.100000
Training Epoch: 7 [20736/46250]	Loss: 0.6406	LR: 0.100000
Training Epoch: 7 [20992/46250]	Loss: 0.5945	LR: 0.100000
Training Epoch: 7 [21248/46250]	Loss: 0.6244	LR: 0.100000
Training Epoch: 7 [21504/46250]	Loss: 0.6170	LR: 0.100000
Training Epoch: 7 [21760/46250]	Loss: 0.6612	LR: 0.100000
Training Epoch: 7 [22016/46250]	Loss: 0.5884	LR: 0.100000
Training Epoch: 7 [22272/46250]	Loss: 0.5278	LR: 0.100000
Training Epoch: 7 [22528/46250]	Loss: 0.5437	LR: 0.100000
Training Epoch: 7 [22784/46250]	Loss: 0.6810	LR: 0.100000
Training Epoch: 7 [23040/46250]	Loss: 0.4848	LR: 0.100000
Training Epoch: 7 [23296/46250]	Loss: 0.6385	LR: 0.100000
Training Epoch: 7 [23552/46250]	Loss: 0.5779	LR: 0.100000
Training Epoch: 7 [23808/46250]	Loss: 0.6279	LR: 0.100000
Training Epoch: 7 [24064/46250]	Loss: 0.5508	LR: 0.100000
Training Epoch: 7 [24320/46250]	Loss: 0.4864	LR: 0.100000
Training Epoch: 7 [24576/46250]	Loss: 0.5038	LR: 0.100000
Training Epoch: 7 [24832/46250]	Loss: 0.6661	LR: 0.100000
Training Epoch: 7 [25088/46250]	Loss: 0.5979	LR: 0.100000
Training Epoch: 7 [25344/46250]	Loss: 0.6676	LR: 0.100000
Training Epoch: 7 [25600/46250]	Loss: 0.6243	LR: 0.100000
Training Epoch: 7 [25856/46250]	Loss: 0.6507	LR: 0.100000
Training Epoch: 7 [26112/46250]	Loss: 0.6341	LR: 0.100000
Training Epoch: 7 [26368/46250]	Loss: 0.5915	LR: 0.100000
Training Epoch: 7 [26624/46250]	Loss: 0.5852	LR: 0.100000
Training Epoch: 7 [26880/46250]	Loss: 0.6920	LR: 0.100000
Training Epoch: 7 [27136/46250]	Loss: 0.5499	LR: 0.100000
Training Epoch: 7 [27392/46250]	Loss: 0.6514	LR: 0.100000
Training Epoch: 7 [27648/46250]	Loss: 0.5781	LR: 0.100000
Training Epoch: 7 [27904/46250]	Loss: 0.6859	LR: 0.100000
Training Epoch: 7 [28160/46250]	Loss: 0.5386	LR: 0.100000
Training Epoch: 7 [28416/46250]	Loss: 0.4865	LR: 0.100000
Training Epoch: 7 [28672/46250]	Loss: 0.5615	LR: 0.100000
Training Epoch: 7 [28928/46250]	Loss: 0.6186	LR: 0.100000
Training Epoch: 7 [29184/46250]	Loss: 0.5957	LR: 0.100000
Training Epoch: 7 [29440/46250]	Loss: 0.6814	LR: 0.100000
Training Epoch: 7 [29696/46250]	Loss: 0.6865	LR: 0.100000
Training Epoch: 7 [29952/46250]	Loss: 0.5767	LR: 0.100000
Training Epoch: 7 [30208/46250]	Loss: 0.5554	LR: 0.100000
Training Epoch: 7 [30464/46250]	Loss: 0.6818	LR: 0.100000
Training Epoch: 7 [30720/46250]	Loss: 0.5634	LR: 0.100000
Training Epoch: 7 [30976/46250]	Loss: 0.6618	LR: 0.100000
Training Epoch: 7 [31232/46250]	Loss: 0.6659	LR: 0.100000
Training Epoch: 7 [31488/46250]	Loss: 0.5562	LR: 0.100000
Training Epoch: 7 [31744/46250]	Loss: 0.5857	LR: 0.100000
Training Epoch: 7 [32000/46250]	Loss: 0.5000	LR: 0.100000
Training Epoch: 7 [32256/46250]	Loss: 0.7688	LR: 0.100000
Training Epoch: 7 [32512/46250]	Loss: 0.6187	LR: 0.100000
Training Epoch: 7 [32768/46250]	Loss: 0.4940	LR: 0.100000
Training Epoch: 7 [33024/46250]	Loss: 0.6627	LR: 0.100000
Training Epoch: 7 [33280/46250]	Loss: 0.5594	LR: 0.100000
Training Epoch: 7 [33536/46250]	Loss: 0.5898	LR: 0.100000
Training Epoch: 7 [33792/46250]	Loss: 0.5858	LR: 0.100000
Training Epoch: 7 [34048/46250]	Loss: 0.5813	LR: 0.100000
Training Epoch: 7 [34304/46250]	Loss: 0.5873	LR: 0.100000
Training Epoch: 7 [34560/46250]	Loss: 0.6012	LR: 0.100000
Training Epoch: 7 [34816/46250]	Loss: 0.5719	LR: 0.100000
Training Epoch: 7 [35072/46250]	Loss: 0.6544	LR: 0.100000
Training Epoch: 7 [35328/46250]	Loss: 0.5319	LR: 0.100000
Training Epoch: 7 [35584/46250]	Loss: 0.6666	LR: 0.100000
Training Epoch: 7 [35840/46250]	Loss: 0.5162	LR: 0.100000
Training Epoch: 7 [36096/46250]	Loss: 0.5680	LR: 0.100000
Training Epoch: 7 [36352/46250]	Loss: 0.5469	LR: 0.100000
Training Epoch: 7 [36608/46250]	Loss: 0.5899	LR: 0.100000
Training Epoch: 7 [36864/46250]	Loss: 0.4985	LR: 0.100000
Training Epoch: 7 [37120/46250]	Loss: 0.6057	LR: 0.100000
Training Epoch: 7 [37376/46250]	Loss: 0.6675	LR: 0.100000
Training Epoch: 7 [37632/46250]	Loss: 0.6004	LR: 0.100000
Training Epoch: 7 [37888/46250]	Loss: 0.5407	LR: 0.100000
Training Epoch: 7 [38144/46250]	Loss: 0.5927	LR: 0.100000
Training Epoch: 7 [38400/46250]	Loss: 0.6034	LR: 0.100000
Training Epoch: 7 [38656/46250]	Loss: 0.6813	LR: 0.100000
Training Epoch: 7 [38912/46250]	Loss: 0.7185	LR: 0.100000
Training Epoch: 7 [39168/46250]	Loss: 0.6242	LR: 0.100000
Training Epoch: 7 [39424/46250]	Loss: 0.6476	LR: 0.100000
Training Epoch: 7 [39680/46250]	Loss: 0.5902	LR: 0.100000
Training Epoch: 7 [39936/46250]	Loss: 0.4869	LR: 0.100000
Training Epoch: 7 [40192/46250]	Loss: 0.5464	LR: 0.100000
Training Epoch: 7 [40448/46250]	Loss: 0.6457	LR: 0.100000
Training Epoch: 7 [40704/46250]	Loss: 0.6776	LR: 0.100000
Training Epoch: 7 [40960/46250]	Loss: 0.5250	LR: 0.100000
Training Epoch: 7 [41216/46250]	Loss: 0.6331	LR: 0.100000
Training Epoch: 7 [41472/46250]	Loss: 0.6888	LR: 0.100000
Training Epoch: 7 [41728/46250]	Loss: 0.6414	LR: 0.100000
Training Epoch: 7 [41984/46250]	Loss: 0.6549	LR: 0.100000
Training Epoch: 7 [42240/46250]	Loss: 0.6239	LR: 0.100000
Training Epoch: 7 [42496/46250]	Loss: 0.6649	LR: 0.100000
Training Epoch: 7 [42752/46250]	Loss: 0.5696	LR: 0.100000
Training Epoch: 7 [43008/46250]	Loss: 0.6017	LR: 0.100000
Training Epoch: 7 [43264/46250]	Loss: 0.6195	LR: 0.100000
Training Epoch: 7 [43520/46250]	Loss: 0.5641	LR: 0.100000
Training Epoch: 7 [43776/46250]	Loss: 0.6654	LR: 0.100000
Training Epoch: 7 [44032/46250]	Loss: 0.5656	LR: 0.100000
Training Epoch: 7 [44288/46250]	Loss: 0.6821	LR: 0.100000
Training Epoch: 7 [44544/46250]	Loss: 0.6787	LR: 0.100000
Training Epoch: 7 [44800/46250]	Loss: 0.4796	LR: 0.100000
Training Epoch: 7 [45056/46250]	Loss: 0.6112	LR: 0.100000
Training Epoch: 7 [45312/46250]	Loss: 0.6112	LR: 0.100000
Training Epoch: 7 [45568/46250]	Loss: 0.6821	LR: 0.100000
Training Epoch: 7 [45824/46250]	Loss: 0.5903	LR: 0.100000
Training Epoch: 7 [46080/46250]	Loss: 0.6141	LR: 0.100000
Training Epoch: 7 [46250/46250]	Loss: 0.7020	LR: 0.100000
Epoch 7 - Average Train Loss: 0.6118, Train Accuracy: 0.7907
Epoch 7 training time consumed: 28.07s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0027, Accuracy: 0.7700, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_08h_24m_45s/ResNet18-Cifar10-seed7-ret25-7-best.pth
Training Epoch: 8 [256/46250]	Loss: 0.6084	LR: 0.020000
Training Epoch: 8 [512/46250]	Loss: 0.5008	LR: 0.020000
Training Epoch: 8 [768/46250]	Loss: 0.4845	LR: 0.020000
Training Epoch: 8 [1024/46250]	Loss: 0.4347	LR: 0.020000
Training Epoch: 8 [1280/46250]	Loss: 0.5566	LR: 0.020000
Training Epoch: 8 [1536/46250]	Loss: 0.5584	LR: 0.020000
Training Epoch: 8 [1792/46250]	Loss: 0.5646	LR: 0.020000
Training Epoch: 8 [2048/46250]	Loss: 0.5203	LR: 0.020000
Training Epoch: 8 [2304/46250]	Loss: 0.5653	LR: 0.020000
Training Epoch: 8 [2560/46250]	Loss: 0.5363	LR: 0.020000
Training Epoch: 8 [2816/46250]	Loss: 0.6042	LR: 0.020000
Training Epoch: 8 [3072/46250]	Loss: 0.5229	LR: 0.020000
Training Epoch: 8 [3328/46250]	Loss: 0.4390	LR: 0.020000
Training Epoch: 8 [3584/46250]	Loss: 0.4355	LR: 0.020000
Training Epoch: 8 [3840/46250]	Loss: 0.4538	LR: 0.020000
Training Epoch: 8 [4096/46250]	Loss: 0.3793	LR: 0.020000
Training Epoch: 8 [4352/46250]	Loss: 0.4796	LR: 0.020000
Training Epoch: 8 [4608/46250]	Loss: 0.5337	LR: 0.020000
Training Epoch: 8 [4864/46250]	Loss: 0.4584	LR: 0.020000
Training Epoch: 8 [5120/46250]	Loss: 0.4417	LR: 0.020000
Training Epoch: 8 [5376/46250]	Loss: 0.5412	LR: 0.020000
Training Epoch: 8 [5632/46250]	Loss: 0.3976	LR: 0.020000
Training Epoch: 8 [5888/46250]	Loss: 0.4665	LR: 0.020000
Training Epoch: 8 [6144/46250]	Loss: 0.5368	LR: 0.020000
Training Epoch: 8 [6400/46250]	Loss: 0.4679	LR: 0.020000
Training Epoch: 8 [6656/46250]	Loss: 0.4783	LR: 0.020000
Training Epoch: 8 [6912/46250]	Loss: 0.5574	LR: 0.020000
Training Epoch: 8 [7168/46250]	Loss: 0.5100	LR: 0.020000
Training Epoch: 8 [7424/46250]	Loss: 0.4897	LR: 0.020000
Training Epoch: 8 [7680/46250]	Loss: 0.5040	LR: 0.020000
Training Epoch: 8 [7936/46250]	Loss: 0.4731	LR: 0.020000
Training Epoch: 8 [8192/46250]	Loss: 0.4547	LR: 0.020000
Training Epoch: 8 [8448/46250]	Loss: 0.4677	LR: 0.020000
Training Epoch: 8 [8704/46250]	Loss: 0.5103	LR: 0.020000
Training Epoch: 8 [8960/46250]	Loss: 0.5179	LR: 0.020000
Training Epoch: 8 [9216/46250]	Loss: 0.5150	LR: 0.020000
Training Epoch: 8 [9472/46250]	Loss: 0.4542	LR: 0.020000
Training Epoch: 8 [9728/46250]	Loss: 0.4560	LR: 0.020000
Training Epoch: 8 [9984/46250]	Loss: 0.4038	LR: 0.020000
Training Epoch: 8 [10240/46250]	Loss: 0.4958	LR: 0.020000
Training Epoch: 8 [10496/46250]	Loss: 0.5405	LR: 0.020000
Training Epoch: 8 [10752/46250]	Loss: 0.4963	LR: 0.020000
Training Epoch: 8 [11008/46250]	Loss: 0.4430	LR: 0.020000
Training Epoch: 8 [11264/46250]	Loss: 0.5272	LR: 0.020000
Training Epoch: 8 [11520/46250]	Loss: 0.5705	LR: 0.020000
Training Epoch: 8 [11776/46250]	Loss: 0.4959	LR: 0.020000
Training Epoch: 8 [12032/46250]	Loss: 0.5211	LR: 0.020000
Training Epoch: 8 [12288/46250]	Loss: 0.4871	LR: 0.020000
Training Epoch: 8 [12544/46250]	Loss: 0.3913	LR: 0.020000
Training Epoch: 8 [12800/46250]	Loss: 0.5193	LR: 0.020000
Training Epoch: 8 [13056/46250]	Loss: 0.4675	LR: 0.020000
Training Epoch: 8 [13312/46250]	Loss: 0.3999	LR: 0.020000
Training Epoch: 8 [13568/46250]	Loss: 0.4100	LR: 0.020000
Training Epoch: 8 [13824/46250]	Loss: 0.4381	LR: 0.020000
Training Epoch: 8 [14080/46250]	Loss: 0.4457	LR: 0.020000
Training Epoch: 8 [14336/46250]	Loss: 0.3977	LR: 0.020000
Training Epoch: 8 [14592/46250]	Loss: 0.4706	LR: 0.020000
Training Epoch: 8 [14848/46250]	Loss: 0.3416	LR: 0.020000
Training Epoch: 8 [15104/46250]	Loss: 0.4034	LR: 0.020000
Training Epoch: 8 [15360/46250]	Loss: 0.4213	LR: 0.020000
Training Epoch: 8 [15616/46250]	Loss: 0.4931	LR: 0.020000
Training Epoch: 8 [15872/46250]	Loss: 0.4981	LR: 0.020000
Training Epoch: 8 [16128/46250]	Loss: 0.3910	LR: 0.020000
Training Epoch: 8 [16384/46250]	Loss: 0.3389	LR: 0.020000
Training Epoch: 8 [16640/46250]	Loss: 0.4752	LR: 0.020000
Training Epoch: 8 [16896/46250]	Loss: 0.4233	LR: 0.020000
Training Epoch: 8 [17152/46250]	Loss: 0.4122	LR: 0.020000
Training Epoch: 8 [17408/46250]	Loss: 0.4499	LR: 0.020000
Training Epoch: 8 [17664/46250]	Loss: 0.6253	LR: 0.020000
Training Epoch: 8 [17920/46250]	Loss: 0.4876	LR: 0.020000
Training Epoch: 8 [18176/46250]	Loss: 0.5190	LR: 0.020000
Training Epoch: 8 [18432/46250]	Loss: 0.4570	LR: 0.020000
Training Epoch: 8 [18688/46250]	Loss: 0.4351	LR: 0.020000
Training Epoch: 8 [18944/46250]	Loss: 0.4285	LR: 0.020000
Training Epoch: 8 [19200/46250]	Loss: 0.4747	LR: 0.020000
Training Epoch: 8 [19456/46250]	Loss: 0.4149	LR: 0.020000
Training Epoch: 8 [19712/46250]	Loss: 0.3695	LR: 0.020000
Training Epoch: 8 [19968/46250]	Loss: 0.4314	LR: 0.020000
Training Epoch: 8 [20224/46250]	Loss: 0.5037	LR: 0.020000
Training Epoch: 8 [20480/46250]	Loss: 0.4347	LR: 0.020000
Training Epoch: 8 [20736/46250]	Loss: 0.4816	LR: 0.020000
Training Epoch: 8 [20992/46250]	Loss: 0.4487	LR: 0.020000
Training Epoch: 8 [21248/46250]	Loss: 0.4489	LR: 0.020000
Training Epoch: 8 [21504/46250]	Loss: 0.4715	LR: 0.020000
Training Epoch: 8 [21760/46250]	Loss: 0.4344	LR: 0.020000
Training Epoch: 8 [22016/46250]	Loss: 0.3871	LR: 0.020000
Training Epoch: 8 [22272/46250]	Loss: 0.4893	LR: 0.020000
Training Epoch: 8 [22528/46250]	Loss: 0.4668	LR: 0.020000
Training Epoch: 8 [22784/46250]	Loss: 0.4334	LR: 0.020000
Training Epoch: 8 [23040/46250]	Loss: 0.5142	LR: 0.020000
Training Epoch: 8 [23296/46250]	Loss: 0.4303	LR: 0.020000
Training Epoch: 8 [23552/46250]	Loss: 0.5015	LR: 0.020000
Training Epoch: 8 [23808/46250]	Loss: 0.4152	LR: 0.020000
Training Epoch: 8 [24064/46250]	Loss: 0.4519	LR: 0.020000
Training Epoch: 8 [24320/46250]	Loss: 0.5059	LR: 0.020000
Training Epoch: 8 [24576/46250]	Loss: 0.4988	LR: 0.020000
Training Epoch: 8 [24832/46250]	Loss: 0.4803	LR: 0.020000
Training Epoch: 8 [25088/46250]	Loss: 0.3626	LR: 0.020000
Training Epoch: 8 [25344/46250]	Loss: 0.4556	LR: 0.020000
Training Epoch: 8 [25600/46250]	Loss: 0.4629	LR: 0.020000
Training Epoch: 8 [25856/46250]	Loss: 0.3970	LR: 0.020000
Training Epoch: 8 [26112/46250]	Loss: 0.4910	LR: 0.020000
Training Epoch: 8 [26368/46250]	Loss: 0.5001	LR: 0.020000
Training Epoch: 8 [26624/46250]	Loss: 0.2994	LR: 0.020000
Training Epoch: 8 [26880/46250]	Loss: 0.5041	LR: 0.020000
Training Epoch: 8 [27136/46250]	Loss: 0.4536	LR: 0.020000
Training Epoch: 8 [27392/46250]	Loss: 0.5031	LR: 0.020000
Training Epoch: 8 [27648/46250]	Loss: 0.4246	LR: 0.020000
Training Epoch: 8 [27904/46250]	Loss: 0.3788	LR: 0.020000
Training Epoch: 8 [28160/46250]	Loss: 0.5275	LR: 0.020000
Training Epoch: 8 [28416/46250]	Loss: 0.4441	LR: 0.020000
Training Epoch: 8 [28672/46250]	Loss: 0.5148	LR: 0.020000
Training Epoch: 8 [28928/46250]	Loss: 0.4493	LR: 0.020000
Training Epoch: 8 [29184/46250]	Loss: 0.4336	LR: 0.020000
Training Epoch: 8 [29440/46250]	Loss: 0.3772	LR: 0.020000
Training Epoch: 8 [29696/46250]	Loss: 0.4288	LR: 0.020000
Training Epoch: 8 [29952/46250]	Loss: 0.4678	LR: 0.020000
Training Epoch: 8 [30208/46250]	Loss: 0.3572	LR: 0.020000
Training Epoch: 8 [30464/46250]	Loss: 0.4768	LR: 0.020000
Training Epoch: 8 [30720/46250]	Loss: 0.3658	LR: 0.020000
Training Epoch: 8 [30976/46250]	Loss: 0.5204	LR: 0.020000
Training Epoch: 8 [31232/46250]	Loss: 0.3371	LR: 0.020000
Training Epoch: 8 [31488/46250]	Loss: 0.4416	LR: 0.020000
Training Epoch: 8 [31744/46250]	Loss: 0.4061	LR: 0.020000
Training Epoch: 8 [32000/46250]	Loss: 0.4236	LR: 0.020000
Training Epoch: 8 [32256/46250]	Loss: 0.4713	LR: 0.020000
Training Epoch: 8 [32512/46250]	Loss: 0.4152	LR: 0.020000
Training Epoch: 8 [32768/46250]	Loss: 0.3254	LR: 0.020000
Training Epoch: 8 [33024/46250]	Loss: 0.4144	LR: 0.020000
Training Epoch: 8 [33280/46250]	Loss: 0.4023	LR: 0.020000
Training Epoch: 8 [33536/46250]	Loss: 0.4098	LR: 0.020000
Training Epoch: 8 [33792/46250]	Loss: 0.5247	LR: 0.020000
Training Epoch: 8 [34048/46250]	Loss: 0.4369	LR: 0.020000
Training Epoch: 8 [34304/46250]	Loss: 0.4716	LR: 0.020000
Training Epoch: 8 [34560/46250]	Loss: 0.4781	LR: 0.020000
Training Epoch: 8 [34816/46250]	Loss: 0.3919	LR: 0.020000
Training Epoch: 8 [35072/46250]	Loss: 0.4423	LR: 0.020000
Training Epoch: 8 [35328/46250]	Loss: 0.3900	LR: 0.020000
Training Epoch: 8 [35584/46250]	Loss: 0.4727	LR: 0.020000
Training Epoch: 8 [35840/46250]	Loss: 0.4537	LR: 0.020000
Training Epoch: 8 [36096/46250]	Loss: 0.3520	LR: 0.020000
Training Epoch: 8 [36352/46250]	Loss: 0.3887	LR: 0.020000
Training Epoch: 8 [36608/46250]	Loss: 0.4702	LR: 0.020000
Training Epoch: 8 [36864/46250]	Loss: 0.4331	LR: 0.020000
Training Epoch: 8 [37120/46250]	Loss: 0.4361	LR: 0.020000
Training Epoch: 8 [37376/46250]	Loss: 0.4591	LR: 0.020000
Training Epoch: 8 [37632/46250]	Loss: 0.4264	LR: 0.020000
Training Epoch: 8 [37888/46250]	Loss: 0.4421	LR: 0.020000
Training Epoch: 8 [38144/46250]	Loss: 0.4719	LR: 0.020000
Training Epoch: 8 [38400/46250]	Loss: 0.4120	LR: 0.020000
Training Epoch: 8 [38656/46250]	Loss: 0.4203	LR: 0.020000
Training Epoch: 8 [38912/46250]	Loss: 0.5014	LR: 0.020000
Training Epoch: 8 [39168/46250]	Loss: 0.4333	LR: 0.020000
Training Epoch: 8 [39424/46250]	Loss: 0.3809	LR: 0.020000
Training Epoch: 8 [39680/46250]	Loss: 0.4371	LR: 0.020000
Training Epoch: 8 [39936/46250]	Loss: 0.5507	LR: 0.020000
Training Epoch: 8 [40192/46250]	Loss: 0.4721	LR: 0.020000
Training Epoch: 8 [40448/46250]	Loss: 0.4163	LR: 0.020000
Training Epoch: 8 [40704/46250]	Loss: 0.4680	LR: 0.020000
Training Epoch: 8 [40960/46250]	Loss: 0.4393	LR: 0.020000
Training Epoch: 8 [41216/46250]	Loss: 0.3877	LR: 0.020000
Training Epoch: 8 [41472/46250]	Loss: 0.4480	LR: 0.020000
Training Epoch: 8 [41728/46250]	Loss: 0.4185	LR: 0.020000
Training Epoch: 8 [41984/46250]	Loss: 0.4437	LR: 0.020000
Training Epoch: 8 [42240/46250]	Loss: 0.4502	LR: 0.020000
Training Epoch: 8 [42496/46250]	Loss: 0.3886	LR: 0.020000
Training Epoch: 8 [42752/46250]	Loss: 0.4278	LR: 0.020000
Training Epoch: 8 [43008/46250]	Loss: 0.4725	LR: 0.020000
Training Epoch: 8 [43264/46250]	Loss: 0.4575	LR: 0.020000
Training Epoch: 8 [43520/46250]	Loss: 0.5232	LR: 0.020000
Training Epoch: 8 [43776/46250]	Loss: 0.3936	LR: 0.020000
Training Epoch: 8 [44032/46250]	Loss: 0.4937	LR: 0.020000
Training Epoch: 8 [44288/46250]	Loss: 0.4650	LR: 0.020000
Training Epoch: 8 [44544/46250]	Loss: 0.4284	LR: 0.020000
Training Epoch: 8 [44800/46250]	Loss: 0.3982	LR: 0.020000
Training Epoch: 8 [45056/46250]	Loss: 0.3786	LR: 0.020000
Training Epoch: 8 [45312/46250]	Loss: 0.5674	LR: 0.020000
Training Epoch: 8 [45568/46250]	Loss: 0.5447	LR: 0.020000
Training Epoch: 8 [45824/46250]	Loss: 0.4506	LR: 0.020000
Training Epoch: 8 [46080/46250]	Loss: 0.3758	LR: 0.020000
Training Epoch: 8 [46250/46250]	Loss: 0.4862	LR: 0.020000
Epoch 8 - Average Train Loss: 0.4574, Train Accuracy: 0.8407
Epoch 8 training time consumed: 28.21s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0017, Accuracy: 0.8528, Time consumed:0.99s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_08h_24m_45s/ResNet18-Cifar10-seed7-ret25-8-best.pth
Training Epoch: 9 [256/46250]	Loss: 0.3737	LR: 0.020000
Training Epoch: 9 [512/46250]	Loss: 0.5232	LR: 0.020000
Training Epoch: 9 [768/46250]	Loss: 0.3608	LR: 0.020000
Training Epoch: 9 [1024/46250]	Loss: 0.3624	LR: 0.020000
Training Epoch: 9 [1280/46250]	Loss: 0.4176	LR: 0.020000
Training Epoch: 9 [1536/46250]	Loss: 0.5148	LR: 0.020000
Training Epoch: 9 [1792/46250]	Loss: 0.3540	LR: 0.020000
Training Epoch: 9 [2048/46250]	Loss: 0.4360	LR: 0.020000
Training Epoch: 9 [2304/46250]	Loss: 0.4154	LR: 0.020000
Training Epoch: 9 [2560/46250]	Loss: 0.5629	LR: 0.020000
Training Epoch: 9 [2816/46250]	Loss: 0.3727	LR: 0.020000
Training Epoch: 9 [3072/46250]	Loss: 0.3772	LR: 0.020000
Training Epoch: 9 [3328/46250]	Loss: 0.3239	LR: 0.020000
Training Epoch: 9 [3584/46250]	Loss: 0.5062	LR: 0.020000
Training Epoch: 9 [3840/46250]	Loss: 0.4823	LR: 0.020000
Training Epoch: 9 [4096/46250]	Loss: 0.3920	LR: 0.020000
Training Epoch: 9 [4352/46250]	Loss: 0.4603	LR: 0.020000
Training Epoch: 9 [4608/46250]	Loss: 0.3791	LR: 0.020000
Training Epoch: 9 [4864/46250]	Loss: 0.4307	LR: 0.020000
Training Epoch: 9 [5120/46250]	Loss: 0.3946	LR: 0.020000
Training Epoch: 9 [5376/46250]	Loss: 0.5283	LR: 0.020000
Training Epoch: 9 [5632/46250]	Loss: 0.4284	LR: 0.020000
Training Epoch: 9 [5888/46250]	Loss: 0.3943	LR: 0.020000
Training Epoch: 9 [6144/46250]	Loss: 0.3483	LR: 0.020000
Training Epoch: 9 [6400/46250]	Loss: 0.3695	LR: 0.020000
Training Epoch: 9 [6656/46250]	Loss: 0.4455	LR: 0.020000
Training Epoch: 9 [6912/46250]	Loss: 0.4703	LR: 0.020000
Training Epoch: 9 [7168/46250]	Loss: 0.4788	LR: 0.020000
Training Epoch: 9 [7424/46250]	Loss: 0.3893	LR: 0.020000
Training Epoch: 9 [7680/46250]	Loss: 0.4506	LR: 0.020000
Training Epoch: 9 [7936/46250]	Loss: 0.4360	LR: 0.020000
Training Epoch: 9 [8192/46250]	Loss: 0.3483	LR: 0.020000
Training Epoch: 9 [8448/46250]	Loss: 0.3610	LR: 0.020000
Training Epoch: 9 [8704/46250]	Loss: 0.4903	LR: 0.020000
Training Epoch: 9 [8960/46250]	Loss: 0.3179	LR: 0.020000
Training Epoch: 9 [9216/46250]	Loss: 0.4433	LR: 0.020000
Training Epoch: 9 [9472/46250]	Loss: 0.4705	LR: 0.020000
Training Epoch: 9 [9728/46250]	Loss: 0.4242	LR: 0.020000
Training Epoch: 9 [9984/46250]	Loss: 0.4071	LR: 0.020000
Training Epoch: 9 [10240/46250]	Loss: 0.4398	LR: 0.020000
Training Epoch: 9 [10496/46250]	Loss: 0.4166	LR: 0.020000
Training Epoch: 9 [10752/46250]	Loss: 0.3801	LR: 0.020000
Training Epoch: 9 [11008/46250]	Loss: 0.4454	LR: 0.020000
Training Epoch: 9 [11264/46250]	Loss: 0.4018	LR: 0.020000
Training Epoch: 9 [11520/46250]	Loss: 0.5115	LR: 0.020000
Training Epoch: 9 [11776/46250]	Loss: 0.4462	LR: 0.020000
Training Epoch: 9 [12032/46250]	Loss: 0.5557	LR: 0.020000
Training Epoch: 9 [12288/46250]	Loss: 0.3953	LR: 0.020000
Training Epoch: 9 [12544/46250]	Loss: 0.3715	LR: 0.020000
Training Epoch: 9 [12800/46250]	Loss: 0.4389	LR: 0.020000
Training Epoch: 9 [13056/46250]	Loss: 0.4556	LR: 0.020000
Training Epoch: 9 [13312/46250]	Loss: 0.3774	LR: 0.020000
Training Epoch: 9 [13568/46250]	Loss: 0.4178	LR: 0.020000
Training Epoch: 9 [13824/46250]	Loss: 0.3474	LR: 0.020000
Training Epoch: 9 [14080/46250]	Loss: 0.4284	LR: 0.020000
Training Epoch: 9 [14336/46250]	Loss: 0.4338	LR: 0.020000
Training Epoch: 9 [14592/46250]	Loss: 0.4702	LR: 0.020000
Training Epoch: 9 [14848/46250]	Loss: 0.3997	LR: 0.020000
Training Epoch: 9 [15104/46250]	Loss: 0.4205	LR: 0.020000
Training Epoch: 9 [15360/46250]	Loss: 0.4098	LR: 0.020000
Training Epoch: 9 [15616/46250]	Loss: 0.4391	LR: 0.020000
Training Epoch: 9 [15872/46250]	Loss: 0.4992	LR: 0.020000
Training Epoch: 9 [16128/46250]	Loss: 0.3063	LR: 0.020000
Training Epoch: 9 [16384/46250]	Loss: 0.4312	LR: 0.020000
Training Epoch: 9 [16640/46250]	Loss: 0.3956	LR: 0.020000
Training Epoch: 9 [16896/46250]	Loss: 0.4021	LR: 0.020000
Training Epoch: 9 [17152/46250]	Loss: 0.3583	LR: 0.020000
Training Epoch: 9 [17408/46250]	Loss: 0.4075	LR: 0.020000
Training Epoch: 9 [17664/46250]	Loss: 0.5178	LR: 0.020000
Training Epoch: 9 [17920/46250]	Loss: 0.4394	LR: 0.020000
Training Epoch: 9 [18176/46250]	Loss: 0.4189	LR: 0.020000
Training Epoch: 9 [18432/46250]	Loss: 0.4531	LR: 0.020000
Training Epoch: 9 [18688/46250]	Loss: 0.3996	LR: 0.020000
Training Epoch: 9 [18944/46250]	Loss: 0.3898	LR: 0.020000
Training Epoch: 9 [19200/46250]	Loss: 0.4387	LR: 0.020000
Training Epoch: 9 [19456/46250]	Loss: 0.4318	LR: 0.020000
Training Epoch: 9 [19712/46250]	Loss: 0.3707	LR: 0.020000
Training Epoch: 9 [19968/46250]	Loss: 0.4533	LR: 0.020000
Training Epoch: 9 [20224/46250]	Loss: 0.4240	LR: 0.020000
Training Epoch: 9 [20480/46250]	Loss: 0.4458	LR: 0.020000
Training Epoch: 9 [20736/46250]	Loss: 0.4319	LR: 0.020000
Training Epoch: 9 [20992/46250]	Loss: 0.4157	LR: 0.020000
Training Epoch: 9 [21248/46250]	Loss: 0.3979	LR: 0.020000
Training Epoch: 9 [21504/46250]	Loss: 0.4195	LR: 0.020000
Training Epoch: 9 [21760/46250]	Loss: 0.3511	LR: 0.020000
Training Epoch: 9 [22016/46250]	Loss: 0.4359	LR: 0.020000
Training Epoch: 9 [22272/46250]	Loss: 0.4476	LR: 0.020000
Training Epoch: 9 [22528/46250]	Loss: 0.4128	LR: 0.020000
Training Epoch: 9 [22784/46250]	Loss: 0.2833	LR: 0.020000
Training Epoch: 9 [23040/46250]	Loss: 0.3998	LR: 0.020000
Training Epoch: 9 [23296/46250]	Loss: 0.3933	LR: 0.020000
Training Epoch: 9 [23552/46250]	Loss: 0.3800	LR: 0.020000
Training Epoch: 9 [23808/46250]	Loss: 0.4951	LR: 0.020000
Training Epoch: 9 [24064/46250]	Loss: 0.3819	LR: 0.020000
Training Epoch: 9 [24320/46250]	Loss: 0.3180	LR: 0.020000
Training Epoch: 9 [24576/46250]	Loss: 0.4167	LR: 0.020000
Training Epoch: 9 [24832/46250]	Loss: 0.4266	LR: 0.020000
Training Epoch: 9 [25088/46250]	Loss: 0.4868	LR: 0.020000
Training Epoch: 9 [25344/46250]	Loss: 0.4910	LR: 0.020000
Training Epoch: 9 [25600/46250]	Loss: 0.3868	LR: 0.020000
Training Epoch: 9 [25856/46250]	Loss: 0.4082	LR: 0.020000
Training Epoch: 9 [26112/46250]	Loss: 0.4159	LR: 0.020000
Training Epoch: 9 [26368/46250]	Loss: 0.4343	LR: 0.020000
Training Epoch: 9 [26624/46250]	Loss: 0.4309	LR: 0.020000
Training Epoch: 9 [26880/46250]	Loss: 0.4170	LR: 0.020000
Training Epoch: 9 [27136/46250]	Loss: 0.4449	LR: 0.020000
Training Epoch: 9 [27392/46250]	Loss: 0.4244	LR: 0.020000
Training Epoch: 9 [27648/46250]	Loss: 0.3541	LR: 0.020000
Training Epoch: 9 [27904/46250]	Loss: 0.4901	LR: 0.020000
Training Epoch: 9 [28160/46250]	Loss: 0.4160	LR: 0.020000
Training Epoch: 9 [28416/46250]	Loss: 0.3478	LR: 0.020000
Training Epoch: 9 [28672/46250]	Loss: 0.4102	LR: 0.020000
Training Epoch: 9 [28928/46250]	Loss: 0.4179	LR: 0.020000
Training Epoch: 9 [29184/46250]	Loss: 0.4225	LR: 0.020000
Training Epoch: 9 [29440/46250]	Loss: 0.4122	LR: 0.020000
Training Epoch: 9 [29696/46250]	Loss: 0.4235	LR: 0.020000
Training Epoch: 9 [29952/46250]	Loss: 0.4148	LR: 0.020000
Training Epoch: 9 [30208/46250]	Loss: 0.3363	LR: 0.020000
Training Epoch: 9 [30464/46250]	Loss: 0.3796	LR: 0.020000
Training Epoch: 9 [30720/46250]	Loss: 0.3374	LR: 0.020000
Training Epoch: 9 [30976/46250]	Loss: 0.3770	LR: 0.020000
Training Epoch: 9 [31232/46250]	Loss: 0.3055	LR: 0.020000
Training Epoch: 9 [31488/46250]	Loss: 0.4760	LR: 0.020000
Training Epoch: 9 [31744/46250]	Loss: 0.3678	LR: 0.020000
Training Epoch: 9 [32000/46250]	Loss: 0.4376	LR: 0.020000
Training Epoch: 9 [32256/46250]	Loss: 0.3654	LR: 0.020000
Training Epoch: 9 [32512/46250]	Loss: 0.4211	LR: 0.020000
Training Epoch: 9 [32768/46250]	Loss: 0.3461	LR: 0.020000
Training Epoch: 9 [33024/46250]	Loss: 0.3119	LR: 0.020000
Training Epoch: 9 [33280/46250]	Loss: 0.2824	LR: 0.020000
Training Epoch: 9 [33536/46250]	Loss: 0.3135	LR: 0.020000
Training Epoch: 9 [33792/46250]	Loss: 0.4683	LR: 0.020000
Training Epoch: 9 [34048/46250]	Loss: 0.3935	LR: 0.020000
Training Epoch: 9 [34304/46250]	Loss: 0.4550	LR: 0.020000
Training Epoch: 9 [34560/46250]	Loss: 0.3394	LR: 0.020000
Training Epoch: 9 [34816/46250]	Loss: 0.3483	LR: 0.020000
Training Epoch: 9 [35072/46250]	Loss: 0.3762	LR: 0.020000
Training Epoch: 9 [35328/46250]	Loss: 0.4363	LR: 0.020000
Training Epoch: 9 [35584/46250]	Loss: 0.4157	LR: 0.020000
Training Epoch: 9 [35840/46250]	Loss: 0.4925	LR: 0.020000
Training Epoch: 9 [36096/46250]	Loss: 0.4197	LR: 0.020000
Training Epoch: 9 [36352/46250]	Loss: 0.4866	LR: 0.020000
Training Epoch: 9 [36608/46250]	Loss: 0.4864	LR: 0.020000
Training Epoch: 9 [36864/46250]	Loss: 0.4975	LR: 0.020000
Training Epoch: 9 [37120/46250]	Loss: 0.4171	LR: 0.020000
Training Epoch: 9 [37376/46250]	Loss: 0.4181	LR: 0.020000
Training Epoch: 9 [37632/46250]	Loss: 0.4295	LR: 0.020000
Training Epoch: 9 [37888/46250]	Loss: 0.3708	LR: 0.020000
Training Epoch: 9 [38144/46250]	Loss: 0.3240	LR: 0.020000
Training Epoch: 9 [38400/46250]	Loss: 0.4934	LR: 0.020000
Training Epoch: 9 [38656/46250]	Loss: 0.4252	LR: 0.020000
Training Epoch: 9 [38912/46250]	Loss: 0.4219	LR: 0.020000
Training Epoch: 9 [39168/46250]	Loss: 0.4194	LR: 0.020000
Training Epoch: 9 [39424/46250]	Loss: 0.3460	LR: 0.020000
Training Epoch: 9 [39680/46250]	Loss: 0.4277	LR: 0.020000
Training Epoch: 9 [39936/46250]	Loss: 0.4406	LR: 0.020000
Training Epoch: 9 [40192/46250]	Loss: 0.4238	LR: 0.020000
Training Epoch: 9 [40448/46250]	Loss: 0.3744	LR: 0.020000
Training Epoch: 9 [40704/46250]	Loss: 0.4113	LR: 0.020000
Training Epoch: 9 [40960/46250]	Loss: 0.4417	LR: 0.020000
Training Epoch: 9 [41216/46250]	Loss: 0.3671	LR: 0.020000
Training Epoch: 9 [41472/46250]	Loss: 0.4975	LR: 0.020000
Training Epoch: 9 [41728/46250]	Loss: 0.4146	LR: 0.020000
Training Epoch: 9 [41984/46250]	Loss: 0.3678	LR: 0.020000
Training Epoch: 9 [42240/46250]	Loss: 0.3873	LR: 0.020000
Training Epoch: 9 [42496/46250]	Loss: 0.3237	LR: 0.020000
Training Epoch: 9 [42752/46250]	Loss: 0.4683	LR: 0.020000
Training Epoch: 9 [43008/46250]	Loss: 0.4726	LR: 0.020000
Training Epoch: 9 [43264/46250]	Loss: 0.5245	LR: 0.020000
Training Epoch: 9 [43520/46250]	Loss: 0.5122	LR: 0.020000
Training Epoch: 9 [43776/46250]	Loss: 0.4813	LR: 0.020000
Training Epoch: 9 [44032/46250]	Loss: 0.4230	LR: 0.020000
Training Epoch: 9 [44288/46250]	Loss: 0.3937	LR: 0.020000
Training Epoch: 9 [44544/46250]	Loss: 0.4572	LR: 0.020000
Training Epoch: 9 [44800/46250]	Loss: 0.3684	LR: 0.020000
Training Epoch: 9 [45056/46250]	Loss: 0.3847	LR: 0.020000
Training Epoch: 9 [45312/46250]	Loss: 0.4816	LR: 0.020000
Training Epoch: 9 [45568/46250]	Loss: 0.3991	LR: 0.020000
Training Epoch: 9 [45824/46250]	Loss: 0.3922	LR: 0.020000
Training Epoch: 9 [46080/46250]	Loss: 0.4345	LR: 0.020000
Training Epoch: 9 [46250/46250]	Loss: 0.3918	LR: 0.020000
Epoch 9 - Average Train Loss: 0.4160, Train Accuracy: 0.8545
Epoch 9 training time consumed: 28.26s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0017, Accuracy: 0.8548, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_08h_24m_45s/ResNet18-Cifar10-seed7-ret25-9-best.pth
Training Epoch: 10 [256/46250]	Loss: 0.4093	LR: 0.020000
Training Epoch: 10 [512/46250]	Loss: 0.4560	LR: 0.020000
Training Epoch: 10 [768/46250]	Loss: 0.4561	LR: 0.020000
Training Epoch: 10 [1024/46250]	Loss: 0.3642	LR: 0.020000
Training Epoch: 10 [1280/46250]	Loss: 0.4244	LR: 0.020000
Training Epoch: 10 [1536/46250]	Loss: 0.3167	LR: 0.020000
Training Epoch: 10 [1792/46250]	Loss: 0.3537	LR: 0.020000
Training Epoch: 10 [2048/46250]	Loss: 0.3863	LR: 0.020000
Training Epoch: 10 [2304/46250]	Loss: 0.3321	LR: 0.020000
Training Epoch: 10 [2560/46250]	Loss: 0.3869	LR: 0.020000
Training Epoch: 10 [2816/46250]	Loss: 0.4493	LR: 0.020000
Training Epoch: 10 [3072/46250]	Loss: 0.3879	LR: 0.020000
Training Epoch: 10 [3328/46250]	Loss: 0.3377	LR: 0.020000
Training Epoch: 10 [3584/46250]	Loss: 0.3669	LR: 0.020000
Training Epoch: 10 [3840/46250]	Loss: 0.3426	LR: 0.020000
Training Epoch: 10 [4096/46250]	Loss: 0.4145	LR: 0.020000
Training Epoch: 10 [4352/46250]	Loss: 0.3751	LR: 0.020000
Training Epoch: 10 [4608/46250]	Loss: 0.3955	LR: 0.020000
Training Epoch: 10 [4864/46250]	Loss: 0.3995	LR: 0.020000
Training Epoch: 10 [5120/46250]	Loss: 0.3509	LR: 0.020000
Training Epoch: 10 [5376/46250]	Loss: 0.4324	LR: 0.020000
Training Epoch: 10 [5632/46250]	Loss: 0.3592	LR: 0.020000
Training Epoch: 10 [5888/46250]	Loss: 0.4286	LR: 0.020000
Training Epoch: 10 [6144/46250]	Loss: 0.4800	LR: 0.020000
Training Epoch: 10 [6400/46250]	Loss: 0.3816	LR: 0.020000
Training Epoch: 10 [6656/46250]	Loss: 0.3526	LR: 0.020000
Training Epoch: 10 [6912/46250]	Loss: 0.4079	LR: 0.020000
Training Epoch: 10 [7168/46250]	Loss: 0.4715	LR: 0.020000
Training Epoch: 10 [7424/46250]	Loss: 0.4216	LR: 0.020000
Training Epoch: 10 [7680/46250]	Loss: 0.3206	LR: 0.020000
Training Epoch: 10 [7936/46250]	Loss: 0.3795	LR: 0.020000
Training Epoch: 10 [8192/46250]	Loss: 0.5105	LR: 0.020000
Training Epoch: 10 [8448/46250]	Loss: 0.5064	LR: 0.020000
Training Epoch: 10 [8704/46250]	Loss: 0.4548	LR: 0.020000
Training Epoch: 10 [8960/46250]	Loss: 0.3676	LR: 0.020000
Training Epoch: 10 [9216/46250]	Loss: 0.3550	LR: 0.020000
Training Epoch: 10 [9472/46250]	Loss: 0.4749	LR: 0.020000
Training Epoch: 10 [9728/46250]	Loss: 0.3919	LR: 0.020000
Training Epoch: 10 [9984/46250]	Loss: 0.4008	LR: 0.020000
Training Epoch: 10 [10240/46250]	Loss: 0.3570	LR: 0.020000
Training Epoch: 10 [10496/46250]	Loss: 0.4272	LR: 0.020000
Training Epoch: 10 [10752/46250]	Loss: 0.3282	LR: 0.020000
Training Epoch: 10 [11008/46250]	Loss: 0.4520	LR: 0.020000
Training Epoch: 10 [11264/46250]	Loss: 0.3457	LR: 0.020000
Training Epoch: 10 [11520/46250]	Loss: 0.3933	LR: 0.020000
Training Epoch: 10 [11776/46250]	Loss: 0.4802	LR: 0.020000
Training Epoch: 10 [12032/46250]	Loss: 0.3753	LR: 0.020000
Training Epoch: 10 [12288/46250]	Loss: 0.4664	LR: 0.020000
Training Epoch: 10 [12544/46250]	Loss: 0.3574	LR: 0.020000
Training Epoch: 10 [12800/46250]	Loss: 0.3134	LR: 0.020000
Training Epoch: 10 [13056/46250]	Loss: 0.3244	LR: 0.020000
Training Epoch: 10 [13312/46250]	Loss: 0.4289	LR: 0.020000
Training Epoch: 10 [13568/46250]	Loss: 0.3632	LR: 0.020000
Training Epoch: 10 [13824/46250]	Loss: 0.2908	LR: 0.020000
Training Epoch: 10 [14080/46250]	Loss: 0.4353	LR: 0.020000
Training Epoch: 10 [14336/46250]	Loss: 0.4112	LR: 0.020000
Training Epoch: 10 [14592/46250]	Loss: 0.4226	LR: 0.020000
Training Epoch: 10 [14848/46250]	Loss: 0.3314	LR: 0.020000
Training Epoch: 10 [15104/46250]	Loss: 0.4541	LR: 0.020000
Training Epoch: 10 [15360/46250]	Loss: 0.2884	LR: 0.020000
Training Epoch: 10 [15616/46250]	Loss: 0.3492	LR: 0.020000
Training Epoch: 10 [15872/46250]	Loss: 0.3282	LR: 0.020000
Training Epoch: 10 [16128/46250]	Loss: 0.5071	LR: 0.020000
Training Epoch: 10 [16384/46250]	Loss: 0.3648	LR: 0.020000
Training Epoch: 10 [16640/46250]	Loss: 0.3641	LR: 0.020000
Training Epoch: 10 [16896/46250]	Loss: 0.4421	LR: 0.020000
Training Epoch: 10 [17152/46250]	Loss: 0.3842	LR: 0.020000
Training Epoch: 10 [17408/46250]	Loss: 0.4040	LR: 0.020000
Training Epoch: 10 [17664/46250]	Loss: 0.3978	LR: 0.020000
Training Epoch: 10 [17920/46250]	Loss: 0.3466	LR: 0.020000
Training Epoch: 10 [18176/46250]	Loss: 0.3799	LR: 0.020000
Training Epoch: 10 [18432/46250]	Loss: 0.3584	LR: 0.020000
Training Epoch: 10 [18688/46250]	Loss: 0.3640	LR: 0.020000
Training Epoch: 10 [18944/46250]	Loss: 0.3994	LR: 0.020000
Training Epoch: 10 [19200/46250]	Loss: 0.3783	LR: 0.020000
Training Epoch: 10 [19456/46250]	Loss: 0.5207	LR: 0.020000
Training Epoch: 10 [19712/46250]	Loss: 0.3275	LR: 0.020000
Training Epoch: 10 [19968/46250]	Loss: 0.3190	LR: 0.020000
Training Epoch: 10 [20224/46250]	Loss: 0.4126	LR: 0.020000
Training Epoch: 10 [20480/46250]	Loss: 0.4869	LR: 0.020000
Training Epoch: 10 [20736/46250]	Loss: 0.3430	LR: 0.020000
Training Epoch: 10 [20992/46250]	Loss: 0.4456	LR: 0.020000
Training Epoch: 10 [21248/46250]	Loss: 0.2650	LR: 0.020000
Training Epoch: 10 [21504/46250]	Loss: 0.5457	LR: 0.020000
Training Epoch: 10 [21760/46250]	Loss: 0.4588	LR: 0.020000
Training Epoch: 10 [22016/46250]	Loss: 0.3415	LR: 0.020000
Training Epoch: 10 [22272/46250]	Loss: 0.4741	LR: 0.020000
Training Epoch: 10 [22528/46250]	Loss: 0.4347	LR: 0.020000
Training Epoch: 10 [22784/46250]	Loss: 0.4602	LR: 0.020000
Training Epoch: 10 [23040/46250]	Loss: 0.3581	LR: 0.020000
Training Epoch: 10 [23296/46250]	Loss: 0.3729	LR: 0.020000
Training Epoch: 10 [23552/46250]	Loss: 0.3595	LR: 0.020000
Training Epoch: 10 [23808/46250]	Loss: 0.4869	LR: 0.020000
Training Epoch: 10 [24064/46250]	Loss: 0.2881	LR: 0.020000
Training Epoch: 10 [24320/46250]	Loss: 0.4835	LR: 0.020000
Training Epoch: 10 [24576/46250]	Loss: 0.3962	LR: 0.020000
Training Epoch: 10 [24832/46250]	Loss: 0.3483	LR: 0.020000
Training Epoch: 10 [25088/46250]	Loss: 0.3833	LR: 0.020000
Training Epoch: 10 [25344/46250]	Loss: 0.4948	LR: 0.020000
Training Epoch: 10 [25600/46250]	Loss: 0.3640	LR: 0.020000
Training Epoch: 10 [25856/46250]	Loss: 0.3855	LR: 0.020000
Training Epoch: 10 [26112/46250]	Loss: 0.3381	LR: 0.020000
Training Epoch: 10 [26368/46250]	Loss: 0.3292	LR: 0.020000
Training Epoch: 10 [26624/46250]	Loss: 0.4788	LR: 0.020000
Training Epoch: 10 [26880/46250]	Loss: 0.3333	LR: 0.020000
Training Epoch: 10 [27136/46250]	Loss: 0.4140	LR: 0.020000
Training Epoch: 10 [27392/46250]	Loss: 0.4315	LR: 0.020000
Training Epoch: 10 [27648/46250]	Loss: 0.3871	LR: 0.020000
Training Epoch: 10 [27904/46250]	Loss: 0.2948	LR: 0.020000
Training Epoch: 10 [28160/46250]	Loss: 0.4146	LR: 0.020000
Training Epoch: 10 [28416/46250]	Loss: 0.4860	LR: 0.020000
Training Epoch: 10 [28672/46250]	Loss: 0.3931	LR: 0.020000
Training Epoch: 10 [28928/46250]	Loss: 0.3209	LR: 0.020000
Training Epoch: 10 [29184/46250]	Loss: 0.4031	LR: 0.020000
Training Epoch: 10 [29440/46250]	Loss: 0.3136	LR: 0.020000
Training Epoch: 10 [29696/46250]	Loss: 0.4151	LR: 0.020000
Training Epoch: 10 [29952/46250]	Loss: 0.3861	LR: 0.020000
Training Epoch: 10 [30208/46250]	Loss: 0.3525	LR: 0.020000
Training Epoch: 10 [30464/46250]	Loss: 0.4876	LR: 0.020000
Training Epoch: 10 [30720/46250]	Loss: 0.3310	LR: 0.020000
Training Epoch: 10 [30976/46250]	Loss: 0.3802	LR: 0.020000
Training Epoch: 10 [31232/46250]	Loss: 0.3763	LR: 0.020000
Training Epoch: 10 [31488/46250]	Loss: 0.3723	LR: 0.020000
Training Epoch: 10 [31744/46250]	Loss: 0.4254	LR: 0.020000
Training Epoch: 10 [32000/46250]	Loss: 0.3672	LR: 0.020000
Training Epoch: 10 [32256/46250]	Loss: 0.4759	LR: 0.020000
Training Epoch: 10 [32512/46250]	Loss: 0.4011	LR: 0.020000
Training Epoch: 10 [32768/46250]	Loss: 0.3649	LR: 0.020000
Training Epoch: 10 [33024/46250]	Loss: 0.4056	LR: 0.020000
Training Epoch: 10 [33280/46250]	Loss: 0.3632	LR: 0.020000
Training Epoch: 10 [33536/46250]	Loss: 0.4510	LR: 0.020000
Training Epoch: 10 [33792/46250]	Loss: 0.3672	LR: 0.020000
Training Epoch: 10 [34048/46250]	Loss: 0.4789	LR: 0.020000
Training Epoch: 10 [34304/46250]	Loss: 0.3361	LR: 0.020000
Training Epoch: 10 [34560/46250]	Loss: 0.3852	LR: 0.020000
Training Epoch: 10 [34816/46250]	Loss: 0.4147	LR: 0.020000
Training Epoch: 10 [35072/46250]	Loss: 0.3619	LR: 0.020000
Training Epoch: 10 [35328/46250]	Loss: 0.3728	LR: 0.020000
Training Epoch: 10 [35584/46250]	Loss: 0.4211	LR: 0.020000
Training Epoch: 10 [35840/46250]	Loss: 0.4464	LR: 0.020000
Training Epoch: 10 [36096/46250]	Loss: 0.3949	LR: 0.020000
Training Epoch: 10 [36352/46250]	Loss: 0.3947	LR: 0.020000
Training Epoch: 10 [36608/46250]	Loss: 0.3358	LR: 0.020000
Training Epoch: 10 [36864/46250]	Loss: 0.4282	LR: 0.020000
Training Epoch: 10 [37120/46250]	Loss: 0.5227	LR: 0.020000
Training Epoch: 10 [37376/46250]	Loss: 0.3013	LR: 0.020000
Training Epoch: 10 [37632/46250]	Loss: 0.3589	LR: 0.020000
Training Epoch: 10 [37888/46250]	Loss: 0.3689	LR: 0.020000
Training Epoch: 10 [38144/46250]	Loss: 0.4331	LR: 0.020000
Training Epoch: 10 [38400/46250]	Loss: 0.4182	LR: 0.020000
Training Epoch: 10 [38656/46250]	Loss: 0.3645	LR: 0.020000
Training Epoch: 10 [38912/46250]	Loss: 0.4186	LR: 0.020000
Training Epoch: 10 [39168/46250]	Loss: 0.4007	LR: 0.020000
Training Epoch: 10 [39424/46250]	Loss: 0.3722	LR: 0.020000
Training Epoch: 10 [39680/46250]	Loss: 0.4125	LR: 0.020000
Training Epoch: 10 [39936/46250]	Loss: 0.3983	LR: 0.020000
Training Epoch: 10 [40192/46250]	Loss: 0.4285	LR: 0.020000
Training Epoch: 10 [40448/46250]	Loss: 0.3907	LR: 0.020000
Training Epoch: 10 [40704/46250]	Loss: 0.3373	LR: 0.020000
Training Epoch: 10 [40960/46250]	Loss: 0.2872	LR: 0.020000
Training Epoch: 10 [41216/46250]	Loss: 0.3505	LR: 0.020000
Training Epoch: 10 [41472/46250]	Loss: 0.3797	LR: 0.020000
Training Epoch: 10 [41728/46250]	Loss: 0.3816	LR: 0.020000
Training Epoch: 10 [41984/46250]	Loss: 0.4586	LR: 0.020000
Training Epoch: 10 [42240/46250]	Loss: 0.3699	LR: 0.020000
Training Epoch: 10 [42496/46250]	Loss: 0.3774	LR: 0.020000
Training Epoch: 10 [42752/46250]	Loss: 0.3930	LR: 0.020000
Training Epoch: 10 [43008/46250]	Loss: 0.4899	LR: 0.020000
Training Epoch: 10 [43264/46250]	Loss: 0.4186	LR: 0.020000
Training Epoch: 10 [43520/46250]	Loss: 0.3409	LR: 0.020000
Training Epoch: 10 [43776/46250]	Loss: 0.4058	LR: 0.020000
Training Epoch: 10 [44032/46250]	Loss: 0.4977	LR: 0.020000
Training Epoch: 10 [44288/46250]	Loss: 0.3366	LR: 0.020000
Training Epoch: 10 [44544/46250]	Loss: 0.2963	LR: 0.020000
Training Epoch: 10 [44800/46250]	Loss: 0.3025	LR: 0.020000
Training Epoch: 10 [45056/46250]	Loss: 0.4798	LR: 0.020000
Training Epoch: 10 [45312/46250]	Loss: 0.4903	LR: 0.020000
Training Epoch: 10 [45568/46250]	Loss: 0.3863	LR: 0.020000
Training Epoch: 10 [45824/46250]	Loss: 0.4074	LR: 0.020000
Training Epoch: 10 [46080/46250]	Loss: 0.3376	LR: 0.020000
Training Epoch: 10 [46250/46250]	Loss: 0.4267	LR: 0.020000
Epoch 10 - Average Train Loss: 0.3941, Train Accuracy: 0.8626
Epoch 10 training time consumed: 28.00s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0018, Accuracy: 0.8543, Time consumed:0.94s
Training Epoch: 11 [256/46250]	Loss: 0.3993	LR: 0.020000
Training Epoch: 11 [512/46250]	Loss: 0.3708	LR: 0.020000
Training Epoch: 11 [768/46250]	Loss: 0.3232	LR: 0.020000
Training Epoch: 11 [1024/46250]	Loss: 0.4719	LR: 0.020000
Training Epoch: 11 [1280/46250]	Loss: 0.4402	LR: 0.020000
Training Epoch: 11 [1536/46250]	Loss: 0.3495	LR: 0.020000
Training Epoch: 11 [1792/46250]	Loss: 0.4678	LR: 0.020000
Training Epoch: 11 [2048/46250]	Loss: 0.3884	LR: 0.020000
Training Epoch: 11 [2304/46250]	Loss: 0.4486	LR: 0.020000
Training Epoch: 11 [2560/46250]	Loss: 0.3627	LR: 0.020000
Training Epoch: 11 [2816/46250]	Loss: 0.3104	LR: 0.020000
Training Epoch: 11 [3072/46250]	Loss: 0.3603	LR: 0.020000
Training Epoch: 11 [3328/46250]	Loss: 0.3414	LR: 0.020000
Training Epoch: 11 [3584/46250]	Loss: 0.3754	LR: 0.020000
Training Epoch: 11 [3840/46250]	Loss: 0.2851	LR: 0.020000
Training Epoch: 11 [4096/46250]	Loss: 0.3786	LR: 0.020000
Training Epoch: 11 [4352/46250]	Loss: 0.3513	LR: 0.020000
Training Epoch: 11 [4608/46250]	Loss: 0.3890	LR: 0.020000
Training Epoch: 11 [4864/46250]	Loss: 0.3221	LR: 0.020000
Training Epoch: 11 [5120/46250]	Loss: 0.3944	LR: 0.020000
Training Epoch: 11 [5376/46250]	Loss: 0.3674	LR: 0.020000
Training Epoch: 11 [5632/46250]	Loss: 0.3238	LR: 0.020000
Training Epoch: 11 [5888/46250]	Loss: 0.3133	LR: 0.020000
Training Epoch: 11 [6144/46250]	Loss: 0.3620	LR: 0.020000
Training Epoch: 11 [6400/46250]	Loss: 0.2886	LR: 0.020000
Training Epoch: 11 [6656/46250]	Loss: 0.3873	LR: 0.020000
Training Epoch: 11 [6912/46250]	Loss: 0.3518	LR: 0.020000
Training Epoch: 11 [7168/46250]	Loss: 0.4124	LR: 0.020000
Training Epoch: 11 [7424/46250]	Loss: 0.3469	LR: 0.020000
Training Epoch: 11 [7680/46250]	Loss: 0.3812	LR: 0.020000
Training Epoch: 11 [7936/46250]	Loss: 0.3326	LR: 0.020000
Training Epoch: 11 [8192/46250]	Loss: 0.3436	LR: 0.020000
Training Epoch: 11 [8448/46250]	Loss: 0.2890	LR: 0.020000
Training Epoch: 11 [8704/46250]	Loss: 0.3404	LR: 0.020000
Training Epoch: 11 [8960/46250]	Loss: 0.3221	LR: 0.020000
Training Epoch: 11 [9216/46250]	Loss: 0.3520	LR: 0.020000
Training Epoch: 11 [9472/46250]	Loss: 0.3173	LR: 0.020000
Training Epoch: 11 [9728/46250]	Loss: 0.3133	LR: 0.020000
Training Epoch: 11 [9984/46250]	Loss: 0.3902	LR: 0.020000
Training Epoch: 11 [10240/46250]	Loss: 0.3254	LR: 0.020000
Training Epoch: 11 [10496/46250]	Loss: 0.3947	LR: 0.020000
Training Epoch: 11 [10752/46250]	Loss: 0.4111	LR: 0.020000
Training Epoch: 11 [11008/46250]	Loss: 0.3430	LR: 0.020000
Training Epoch: 11 [11264/46250]	Loss: 0.4296	LR: 0.020000
Training Epoch: 11 [11520/46250]	Loss: 0.3608	LR: 0.020000
Training Epoch: 11 [11776/46250]	Loss: 0.3602	LR: 0.020000
Training Epoch: 11 [12032/46250]	Loss: 0.3234	LR: 0.020000
Training Epoch: 11 [12288/46250]	Loss: 0.2943	LR: 0.020000
Training Epoch: 11 [12544/46250]	Loss: 0.4542	LR: 0.020000
Training Epoch: 11 [12800/46250]	Loss: 0.4084	LR: 0.020000
Training Epoch: 11 [13056/46250]	Loss: 0.3383	LR: 0.020000
Training Epoch: 11 [13312/46250]	Loss: 0.4488	LR: 0.020000
Training Epoch: 11 [13568/46250]	Loss: 0.3074	LR: 0.020000
Training Epoch: 11 [13824/46250]	Loss: 0.3715	LR: 0.020000
Training Epoch: 11 [14080/46250]	Loss: 0.3541	LR: 0.020000
Training Epoch: 11 [14336/46250]	Loss: 0.3833	LR: 0.020000
Training Epoch: 11 [14592/46250]	Loss: 0.4073	LR: 0.020000
Training Epoch: 11 [14848/46250]	Loss: 0.3905	LR: 0.020000
Training Epoch: 11 [15104/46250]	Loss: 0.3900	LR: 0.020000
Training Epoch: 11 [15360/46250]	Loss: 0.3657	LR: 0.020000
Training Epoch: 11 [15616/46250]	Loss: 0.3352	LR: 0.020000
Training Epoch: 11 [15872/46250]	Loss: 0.4039	LR: 0.020000
Training Epoch: 11 [16128/46250]	Loss: 0.3697	LR: 0.020000
Training Epoch: 11 [16384/46250]	Loss: 0.3490	LR: 0.020000
Training Epoch: 11 [16640/46250]	Loss: 0.3365	LR: 0.020000
Training Epoch: 11 [16896/46250]	Loss: 0.2812	LR: 0.020000
Training Epoch: 11 [17152/46250]	Loss: 0.2979	LR: 0.020000
Training Epoch: 11 [17408/46250]	Loss: 0.3618	LR: 0.020000
Training Epoch: 11 [17664/46250]	Loss: 0.4879	LR: 0.020000
Training Epoch: 11 [17920/46250]	Loss: 0.3602	LR: 0.020000
Training Epoch: 11 [18176/46250]	Loss: 0.4217	LR: 0.020000
Training Epoch: 11 [18432/46250]	Loss: 0.4043	LR: 0.020000
Training Epoch: 11 [18688/46250]	Loss: 0.3461	LR: 0.020000
Training Epoch: 11 [18944/46250]	Loss: 0.3460	LR: 0.020000
Training Epoch: 11 [19200/46250]	Loss: 0.3147	LR: 0.020000
Training Epoch: 11 [19456/46250]	Loss: 0.3665	LR: 0.020000
Training Epoch: 11 [19712/46250]	Loss: 0.4107	LR: 0.020000
Training Epoch: 11 [19968/46250]	Loss: 0.3647	LR: 0.020000
Training Epoch: 11 [20224/46250]	Loss: 0.3013	LR: 0.020000
Training Epoch: 11 [20480/46250]	Loss: 0.3780	LR: 0.020000
Training Epoch: 11 [20736/46250]	Loss: 0.4316	LR: 0.020000
Training Epoch: 11 [20992/46250]	Loss: 0.3026	LR: 0.020000
Training Epoch: 11 [21248/46250]	Loss: 0.3701	LR: 0.020000
Training Epoch: 11 [21504/46250]	Loss: 0.3859	LR: 0.020000
Training Epoch: 11 [21760/46250]	Loss: 0.2235	LR: 0.020000
Training Epoch: 11 [22016/46250]	Loss: 0.3592	LR: 0.020000
Training Epoch: 11 [22272/46250]	Loss: 0.3668	LR: 0.020000
Training Epoch: 11 [22528/46250]	Loss: 0.3963	LR: 0.020000
Training Epoch: 11 [22784/46250]	Loss: 0.3934	LR: 0.020000
Training Epoch: 11 [23040/46250]	Loss: 0.4502	LR: 0.020000
Training Epoch: 11 [23296/46250]	Loss: 0.4313	LR: 0.020000
Training Epoch: 11 [23552/46250]	Loss: 0.4083	LR: 0.020000
Training Epoch: 11 [23808/46250]	Loss: 0.3600	LR: 0.020000
Training Epoch: 11 [24064/46250]	Loss: 0.3696	LR: 0.020000
Training Epoch: 11 [24320/46250]	Loss: 0.4191	LR: 0.020000
Training Epoch: 11 [24576/46250]	Loss: 0.4288	LR: 0.020000
Training Epoch: 11 [24832/46250]	Loss: 0.3109	LR: 0.020000
Training Epoch: 11 [25088/46250]	Loss: 0.2978	LR: 0.020000
Training Epoch: 11 [25344/46250]	Loss: 0.4872	LR: 0.020000
Training Epoch: 11 [25600/46250]	Loss: 0.3954	LR: 0.020000
Training Epoch: 11 [25856/46250]	Loss: 0.4924	LR: 0.020000
Training Epoch: 11 [26112/46250]	Loss: 0.3556	LR: 0.020000
Training Epoch: 11 [26368/46250]	Loss: 0.3521	LR: 0.020000
Training Epoch: 11 [26624/46250]	Loss: 0.3839	LR: 0.020000
Training Epoch: 11 [26880/46250]	Loss: 0.4569	LR: 0.020000
Training Epoch: 11 [27136/46250]	Loss: 0.4087	LR: 0.020000
Training Epoch: 11 [27392/46250]	Loss: 0.2850	LR: 0.020000
Training Epoch: 11 [27648/46250]	Loss: 0.4087	LR: 0.020000
Training Epoch: 11 [27904/46250]	Loss: 0.3288	LR: 0.020000
Training Epoch: 11 [28160/46250]	Loss: 0.4337	LR: 0.020000
Training Epoch: 11 [28416/46250]	Loss: 0.3693	LR: 0.020000
Training Epoch: 11 [28672/46250]	Loss: 0.3924	LR: 0.020000
Training Epoch: 11 [28928/46250]	Loss: 0.3133	LR: 0.020000
Training Epoch: 11 [29184/46250]	Loss: 0.4357	LR: 0.020000
Training Epoch: 11 [29440/46250]	Loss: 0.3207	LR: 0.020000
Training Epoch: 11 [29696/46250]	Loss: 0.4176	LR: 0.020000
Training Epoch: 11 [29952/46250]	Loss: 0.4598	LR: 0.020000
Training Epoch: 11 [30208/46250]	Loss: 0.3880	LR: 0.020000
Training Epoch: 11 [30464/46250]	Loss: 0.3856	LR: 0.020000
Training Epoch: 11 [30720/46250]	Loss: 0.3594	LR: 0.020000
Training Epoch: 11 [30976/46250]	Loss: 0.3338	LR: 0.020000
Training Epoch: 11 [31232/46250]	Loss: 0.2716	LR: 0.020000
Training Epoch: 11 [31488/46250]	Loss: 0.3736	LR: 0.020000
Training Epoch: 11 [31744/46250]	Loss: 0.4294	LR: 0.020000
Training Epoch: 11 [32000/46250]	Loss: 0.3718	LR: 0.020000
Training Epoch: 11 [32256/46250]	Loss: 0.3266	LR: 0.020000
Training Epoch: 11 [32512/46250]	Loss: 0.4111	LR: 0.020000
Training Epoch: 11 [32768/46250]	Loss: 0.4023	LR: 0.020000
Training Epoch: 11 [33024/46250]	Loss: 0.3627	LR: 0.020000
Training Epoch: 11 [33280/46250]	Loss: 0.3444	LR: 0.020000
Training Epoch: 11 [33536/46250]	Loss: 0.2939	LR: 0.020000
Training Epoch: 11 [33792/46250]	Loss: 0.3971	LR: 0.020000
Training Epoch: 11 [34048/46250]	Loss: 0.3935	LR: 0.020000
Training Epoch: 11 [34304/46250]	Loss: 0.3488	LR: 0.020000
Training Epoch: 11 [34560/46250]	Loss: 0.3429	LR: 0.020000
Training Epoch: 11 [34816/46250]	Loss: 0.4340	LR: 0.020000
Training Epoch: 11 [35072/46250]	Loss: 0.4081	LR: 0.020000
Training Epoch: 11 [35328/46250]	Loss: 0.2645	LR: 0.020000
Training Epoch: 11 [35584/46250]	Loss: 0.3801	LR: 0.020000
Training Epoch: 11 [35840/46250]	Loss: 0.4278	LR: 0.020000
Training Epoch: 11 [36096/46250]	Loss: 0.3175	LR: 0.020000
Training Epoch: 11 [36352/46250]	Loss: 0.3315	LR: 0.020000
Training Epoch: 11 [36608/46250]	Loss: 0.3574	LR: 0.020000
Training Epoch: 11 [36864/46250]	Loss: 0.4174	LR: 0.020000
Training Epoch: 11 [37120/46250]	Loss: 0.4121	LR: 0.020000
Training Epoch: 11 [37376/46250]	Loss: 0.3721	LR: 0.020000
Training Epoch: 11 [37632/46250]	Loss: 0.3670	LR: 0.020000
Training Epoch: 11 [37888/46250]	Loss: 0.4451	LR: 0.020000
Training Epoch: 11 [38144/46250]	Loss: 0.2992	LR: 0.020000
Training Epoch: 11 [38400/46250]	Loss: 0.3756	LR: 0.020000
Training Epoch: 11 [38656/46250]	Loss: 0.4801	LR: 0.020000
Training Epoch: 11 [38912/46250]	Loss: 0.2495	LR: 0.020000
Training Epoch: 11 [39168/46250]	Loss: 0.4169	LR: 0.020000
Training Epoch: 11 [39424/46250]	Loss: 0.3404	LR: 0.020000
Training Epoch: 11 [39680/46250]	Loss: 0.3802	LR: 0.020000
Training Epoch: 11 [39936/46250]	Loss: 0.3438	LR: 0.020000
Training Epoch: 11 [40192/46250]	Loss: 0.4262	LR: 0.020000
Training Epoch: 11 [40448/46250]	Loss: 0.4636	LR: 0.020000
Training Epoch: 11 [40704/46250]	Loss: 0.3100	LR: 0.020000
Training Epoch: 11 [40960/46250]	Loss: 0.3671	LR: 0.020000
Training Epoch: 11 [41216/46250]	Loss: 0.3451	LR: 0.020000
Training Epoch: 11 [41472/46250]	Loss: 0.3242	LR: 0.020000
Training Epoch: 11 [41728/46250]	Loss: 0.3476	LR: 0.020000
Training Epoch: 11 [41984/46250]	Loss: 0.3936	LR: 0.020000
Training Epoch: 11 [42240/46250]	Loss: 0.3316	LR: 0.020000
Training Epoch: 11 [42496/46250]	Loss: 0.3763	LR: 0.020000
Training Epoch: 11 [42752/46250]	Loss: 0.4296	LR: 0.020000
Training Epoch: 11 [43008/46250]	Loss: 0.3156	LR: 0.020000
Training Epoch: 11 [43264/46250]	Loss: 0.2745	LR: 0.020000
Training Epoch: 11 [43520/46250]	Loss: 0.4178	LR: 0.020000
Training Epoch: 11 [43776/46250]	Loss: 0.4991	LR: 0.020000
Training Epoch: 11 [44032/46250]	Loss: 0.4108	LR: 0.020000
Training Epoch: 11 [44288/46250]	Loss: 0.3291	LR: 0.020000
Training Epoch: 11 [44544/46250]	Loss: 0.3186	LR: 0.020000
Training Epoch: 11 [44800/46250]	Loss: 0.3804	LR: 0.020000
Training Epoch: 11 [45056/46250]	Loss: 0.3492	LR: 0.020000
Training Epoch: 11 [45312/46250]	Loss: 0.3496	LR: 0.020000
Training Epoch: 11 [45568/46250]	Loss: 0.4409	LR: 0.020000
Training Epoch: 11 [45824/46250]	Loss: 0.2910	LR: 0.020000
Training Epoch: 11 [46080/46250]	Loss: 0.4060	LR: 0.020000
Training Epoch: 11 [46250/46250]	Loss: 0.3586	LR: 0.020000
Epoch 11 - Average Train Loss: 0.3701, Train Accuracy: 0.8686
Epoch 11 training time consumed: 28.12s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0016, Accuracy: 0.8643, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_08h_24m_45s/ResNet18-Cifar10-seed7-ret25-11-best.pth
Training Epoch: 12 [256/46250]	Loss: 0.3009	LR: 0.004000
Training Epoch: 12 [512/46250]	Loss: 0.3944	LR: 0.004000
Training Epoch: 12 [768/46250]	Loss: 0.2888	LR: 0.004000
Training Epoch: 12 [1024/46250]	Loss: 0.3307	LR: 0.004000
Training Epoch: 12 [1280/46250]	Loss: 0.3326	LR: 0.004000
Training Epoch: 12 [1536/46250]	Loss: 0.3276	LR: 0.004000
Training Epoch: 12 [1792/46250]	Loss: 0.2856	LR: 0.004000
Training Epoch: 12 [2048/46250]	Loss: 0.4120	LR: 0.004000
Training Epoch: 12 [2304/46250]	Loss: 0.3283	LR: 0.004000
Training Epoch: 12 [2560/46250]	Loss: 0.3317	LR: 0.004000
Training Epoch: 12 [2816/46250]	Loss: 0.3453	LR: 0.004000
Training Epoch: 12 [3072/46250]	Loss: 0.2608	LR: 0.004000
Training Epoch: 12 [3328/46250]	Loss: 0.3806	LR: 0.004000
Training Epoch: 12 [3584/46250]	Loss: 0.2843	LR: 0.004000
Training Epoch: 12 [3840/46250]	Loss: 0.2901	LR: 0.004000
Training Epoch: 12 [4096/46250]	Loss: 0.2829	LR: 0.004000
Training Epoch: 12 [4352/46250]	Loss: 0.3995	LR: 0.004000
Training Epoch: 12 [4608/46250]	Loss: 0.2769	LR: 0.004000
Training Epoch: 12 [4864/46250]	Loss: 0.3384	LR: 0.004000
Training Epoch: 12 [5120/46250]	Loss: 0.3330	LR: 0.004000
Training Epoch: 12 [5376/46250]	Loss: 0.2691	LR: 0.004000
Training Epoch: 12 [5632/46250]	Loss: 0.3106	LR: 0.004000
Training Epoch: 12 [5888/46250]	Loss: 0.2743	LR: 0.004000
Training Epoch: 12 [6144/46250]	Loss: 0.3527	LR: 0.004000
Training Epoch: 12 [6400/46250]	Loss: 0.3141	LR: 0.004000
Training Epoch: 12 [6656/46250]	Loss: 0.2976	LR: 0.004000
Training Epoch: 12 [6912/46250]	Loss: 0.4216	LR: 0.004000
Training Epoch: 12 [7168/46250]	Loss: 0.3541	LR: 0.004000
Training Epoch: 12 [7424/46250]	Loss: 0.3129	LR: 0.004000
Training Epoch: 12 [7680/46250]	Loss: 0.3230	LR: 0.004000
Training Epoch: 12 [7936/46250]	Loss: 0.3263	LR: 0.004000
Training Epoch: 12 [8192/46250]	Loss: 0.3785	LR: 0.004000
Training Epoch: 12 [8448/46250]	Loss: 0.3448	LR: 0.004000
Training Epoch: 12 [8704/46250]	Loss: 0.4129	LR: 0.004000
Training Epoch: 12 [8960/46250]	Loss: 0.2952	LR: 0.004000
Training Epoch: 12 [9216/46250]	Loss: 0.2949	LR: 0.004000
Training Epoch: 12 [9472/46250]	Loss: 0.3220	LR: 0.004000
Training Epoch: 12 [9728/46250]	Loss: 0.3541	LR: 0.004000
Training Epoch: 12 [9984/46250]	Loss: 0.3207	LR: 0.004000
Training Epoch: 12 [10240/46250]	Loss: 0.3844	LR: 0.004000
Training Epoch: 12 [10496/46250]	Loss: 0.4029	LR: 0.004000
Training Epoch: 12 [10752/46250]	Loss: 0.3397	LR: 0.004000
Training Epoch: 12 [11008/46250]	Loss: 0.3135	LR: 0.004000
Training Epoch: 12 [11264/46250]	Loss: 0.4263	LR: 0.004000
Training Epoch: 12 [11520/46250]	Loss: 0.2958	LR: 0.004000
Training Epoch: 12 [11776/46250]	Loss: 0.3703	LR: 0.004000
Training Epoch: 12 [12032/46250]	Loss: 0.3745	LR: 0.004000
Training Epoch: 12 [12288/46250]	Loss: 0.2653	LR: 0.004000
Training Epoch: 12 [12544/46250]	Loss: 0.3738	LR: 0.004000
Training Epoch: 12 [12800/46250]	Loss: 0.4042	LR: 0.004000
Training Epoch: 12 [13056/46250]	Loss: 0.3100	LR: 0.004000
Training Epoch: 12 [13312/46250]	Loss: 0.4260	LR: 0.004000
Training Epoch: 12 [13568/46250]	Loss: 0.3708	LR: 0.004000
Training Epoch: 12 [13824/46250]	Loss: 0.2602	LR: 0.004000
Training Epoch: 12 [14080/46250]	Loss: 0.3000	LR: 0.004000
Training Epoch: 12 [14336/46250]	Loss: 0.4316	LR: 0.004000
Training Epoch: 12 [14592/46250]	Loss: 0.3639	LR: 0.004000
Training Epoch: 12 [14848/46250]	Loss: 0.3350	LR: 0.004000
Training Epoch: 12 [15104/46250]	Loss: 0.3060	LR: 0.004000
Training Epoch: 12 [15360/46250]	Loss: 0.3240	LR: 0.004000
Training Epoch: 12 [15616/46250]	Loss: 0.2956	LR: 0.004000
Training Epoch: 12 [15872/46250]	Loss: 0.3283	LR: 0.004000
Training Epoch: 12 [16128/46250]	Loss: 0.3182	LR: 0.004000
Training Epoch: 12 [16384/46250]	Loss: 0.3003	LR: 0.004000
Training Epoch: 12 [16640/46250]	Loss: 0.2406	LR: 0.004000
Training Epoch: 12 [16896/46250]	Loss: 0.2828	LR: 0.004000
Training Epoch: 12 [17152/46250]	Loss: 0.2855	LR: 0.004000
Training Epoch: 12 [17408/46250]	Loss: 0.2814	LR: 0.004000
Training Epoch: 12 [17664/46250]	Loss: 0.3341	LR: 0.004000
Training Epoch: 12 [17920/46250]	Loss: 0.2738	LR: 0.004000
Training Epoch: 12 [18176/46250]	Loss: 0.3059	LR: 0.004000
Training Epoch: 12 [18432/46250]	Loss: 0.3193	LR: 0.004000
Training Epoch: 12 [18688/46250]	Loss: 0.3441	LR: 0.004000
Training Epoch: 12 [18944/46250]	Loss: 0.3022	LR: 0.004000
Training Epoch: 12 [19200/46250]	Loss: 0.3088	LR: 0.004000
Training Epoch: 12 [19456/46250]	Loss: 0.3892	LR: 0.004000
Training Epoch: 12 [19712/46250]	Loss: 0.3707	LR: 0.004000
Training Epoch: 12 [19968/46250]	Loss: 0.4306	LR: 0.004000
Training Epoch: 12 [20224/46250]	Loss: 0.3171	LR: 0.004000
Training Epoch: 12 [20480/46250]	Loss: 0.3375	LR: 0.004000
Training Epoch: 12 [20736/46250]	Loss: 0.3921	LR: 0.004000
Training Epoch: 12 [20992/46250]	Loss: 0.3326	LR: 0.004000
Training Epoch: 12 [21248/46250]	Loss: 0.2866	LR: 0.004000
Training Epoch: 12 [21504/46250]	Loss: 0.2545	LR: 0.004000
Training Epoch: 12 [21760/46250]	Loss: 0.3105	LR: 0.004000
Training Epoch: 12 [22016/46250]	Loss: 0.3086	LR: 0.004000
Training Epoch: 12 [22272/46250]	Loss: 0.3232	LR: 0.004000
Training Epoch: 12 [22528/46250]	Loss: 0.3898	LR: 0.004000
Training Epoch: 12 [22784/46250]	Loss: 0.3489	LR: 0.004000
Training Epoch: 12 [23040/46250]	Loss: 0.4007	LR: 0.004000
Training Epoch: 12 [23296/46250]	Loss: 0.3292	LR: 0.004000
Training Epoch: 12 [23552/46250]	Loss: 0.2754	LR: 0.004000
Training Epoch: 12 [23808/46250]	Loss: 0.2510	LR: 0.004000
Training Epoch: 12 [24064/46250]	Loss: 0.3370	LR: 0.004000
Training Epoch: 12 [24320/46250]	Loss: 0.2444	LR: 0.004000
Training Epoch: 12 [24576/46250]	Loss: 0.3632	LR: 0.004000
Training Epoch: 12 [24832/46250]	Loss: 0.3130	LR: 0.004000
Training Epoch: 12 [25088/46250]	Loss: 0.4024	LR: 0.004000
Training Epoch: 12 [25344/46250]	Loss: 0.3378	LR: 0.004000
Training Epoch: 12 [25600/46250]	Loss: 0.4140	LR: 0.004000
Training Epoch: 12 [25856/46250]	Loss: 0.2817	LR: 0.004000
Training Epoch: 12 [26112/46250]	Loss: 0.3070	LR: 0.004000
Training Epoch: 12 [26368/46250]	Loss: 0.4097	LR: 0.004000
Training Epoch: 12 [26624/46250]	Loss: 0.2948	LR: 0.004000
Training Epoch: 12 [26880/46250]	Loss: 0.2327	LR: 0.004000
Training Epoch: 12 [27136/46250]	Loss: 0.2765	LR: 0.004000
Training Epoch: 12 [27392/46250]	Loss: 0.3376	LR: 0.004000
Training Epoch: 12 [27648/46250]	Loss: 0.3889	LR: 0.004000
Training Epoch: 12 [27904/46250]	Loss: 0.3125	LR: 0.004000
Training Epoch: 12 [28160/46250]	Loss: 0.3073	LR: 0.004000
Training Epoch: 12 [28416/46250]	Loss: 0.3856	LR: 0.004000
Training Epoch: 12 [28672/46250]	Loss: 0.3217	LR: 0.004000
Training Epoch: 12 [28928/46250]	Loss: 0.3473	LR: 0.004000
Training Epoch: 12 [29184/46250]	Loss: 0.3267	LR: 0.004000
Training Epoch: 12 [29440/46250]	Loss: 0.3050	LR: 0.004000
Training Epoch: 12 [29696/46250]	Loss: 0.3171	LR: 0.004000
Training Epoch: 12 [29952/46250]	Loss: 0.3392	LR: 0.004000
Training Epoch: 12 [30208/46250]	Loss: 0.2604	LR: 0.004000
Training Epoch: 12 [30464/46250]	Loss: 0.4172	LR: 0.004000
Training Epoch: 12 [30720/46250]	Loss: 0.3735	LR: 0.004000
Training Epoch: 12 [30976/46250]	Loss: 0.3607	LR: 0.004000
Training Epoch: 12 [31232/46250]	Loss: 0.3129	LR: 0.004000
Training Epoch: 12 [31488/46250]	Loss: 0.2570	LR: 0.004000
Training Epoch: 12 [31744/46250]	Loss: 0.3453	LR: 0.004000
Training Epoch: 12 [32000/46250]	Loss: 0.3136	LR: 0.004000
Training Epoch: 12 [32256/46250]	Loss: 0.3207	LR: 0.004000
Training Epoch: 12 [32512/46250]	Loss: 0.2665	LR: 0.004000
Training Epoch: 12 [32768/46250]	Loss: 0.3449	LR: 0.004000
Training Epoch: 12 [33024/46250]	Loss: 0.2995	LR: 0.004000
Training Epoch: 12 [33280/46250]	Loss: 0.3618	LR: 0.004000
Training Epoch: 12 [33536/46250]	Loss: 0.3426	LR: 0.004000
Training Epoch: 12 [33792/46250]	Loss: 0.3994	LR: 0.004000
Training Epoch: 12 [34048/46250]	Loss: 0.3225	LR: 0.004000
Training Epoch: 12 [34304/46250]	Loss: 0.2976	LR: 0.004000
Training Epoch: 12 [34560/46250]	Loss: 0.4202	LR: 0.004000
Training Epoch: 12 [34816/46250]	Loss: 0.3004	LR: 0.004000
Training Epoch: 12 [35072/46250]	Loss: 0.2670	LR: 0.004000
Training Epoch: 12 [35328/46250]	Loss: 0.3789	LR: 0.004000
Training Epoch: 12 [35584/46250]	Loss: 0.3769	LR: 0.004000
Training Epoch: 12 [35840/46250]	Loss: 0.2549	LR: 0.004000
Training Epoch: 12 [36096/46250]	Loss: 0.2742	LR: 0.004000
Training Epoch: 12 [36352/46250]	Loss: 0.2519	LR: 0.004000
Training Epoch: 12 [36608/46250]	Loss: 0.3721	LR: 0.004000
Training Epoch: 12 [36864/46250]	Loss: 0.2551	LR: 0.004000
Training Epoch: 12 [37120/46250]	Loss: 0.3606	LR: 0.004000
Training Epoch: 12 [37376/46250]	Loss: 0.3474	LR: 0.004000
Training Epoch: 12 [37632/46250]	Loss: 0.3763	LR: 0.004000
Training Epoch: 12 [37888/46250]	Loss: 0.4006	LR: 0.004000
Training Epoch: 12 [38144/46250]	Loss: 0.3962	LR: 0.004000
Training Epoch: 12 [38400/46250]	Loss: 0.3757	LR: 0.004000
Training Epoch: 12 [38656/46250]	Loss: 0.3719	LR: 0.004000
Training Epoch: 12 [38912/46250]	Loss: 0.3374	LR: 0.004000
Training Epoch: 12 [39168/46250]	Loss: 0.3112	LR: 0.004000
Training Epoch: 12 [39424/46250]	Loss: 0.3959	LR: 0.004000
Training Epoch: 12 [39680/46250]	Loss: 0.2517	LR: 0.004000
Training Epoch: 12 [39936/46250]	Loss: 0.3681	LR: 0.004000
Training Epoch: 12 [40192/46250]	Loss: 0.2707	LR: 0.004000
Training Epoch: 12 [40448/46250]	Loss: 0.3035	LR: 0.004000
Training Epoch: 12 [40704/46250]	Loss: 0.4500	LR: 0.004000
Training Epoch: 12 [40960/46250]	Loss: 0.3347	LR: 0.004000
Training Epoch: 12 [41216/46250]	Loss: 0.2699	LR: 0.004000
Training Epoch: 12 [41472/46250]	Loss: 0.3211	LR: 0.004000
Training Epoch: 12 [41728/46250]	Loss: 0.2802	LR: 0.004000
Training Epoch: 12 [41984/46250]	Loss: 0.3147	LR: 0.004000
Training Epoch: 12 [42240/46250]	Loss: 0.2915	LR: 0.004000
Training Epoch: 12 [42496/46250]	Loss: 0.2684	LR: 0.004000
Training Epoch: 12 [42752/46250]	Loss: 0.2609	LR: 0.004000
Training Epoch: 12 [43008/46250]	Loss: 0.2859	LR: 0.004000
Training Epoch: 12 [43264/46250]	Loss: 0.3933	LR: 0.004000
Training Epoch: 12 [43520/46250]	Loss: 0.2557	LR: 0.004000
Training Epoch: 12 [43776/46250]	Loss: 0.2692	LR: 0.004000
Training Epoch: 12 [44032/46250]	Loss: 0.3315	LR: 0.004000
Training Epoch: 12 [44288/46250]	Loss: 0.3599	LR: 0.004000
Training Epoch: 12 [44544/46250]	Loss: 0.4310	LR: 0.004000
Training Epoch: 12 [44800/46250]	Loss: 0.3156	LR: 0.004000
Training Epoch: 12 [45056/46250]	Loss: 0.3384	LR: 0.004000
Training Epoch: 12 [45312/46250]	Loss: 0.2825	LR: 0.004000
Training Epoch: 12 [45568/46250]	Loss: 0.3798	LR: 0.004000
Training Epoch: 12 [45824/46250]	Loss: 0.3042	LR: 0.004000
Training Epoch: 12 [46080/46250]	Loss: 0.3240	LR: 0.004000
Training Epoch: 12 [46250/46250]	Loss: 0.2966	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3295, Train Accuracy: 0.8853
Epoch 12 training time consumed: 27.99s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0014, Accuracy: 0.8848, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_08h_24m_45s/ResNet18-Cifar10-seed7-ret25-12-best.pth
Training Epoch: 13 [256/46250]	Loss: 0.2670	LR: 0.004000
Training Epoch: 13 [512/46250]	Loss: 0.3134	LR: 0.004000
Training Epoch: 13 [768/46250]	Loss: 0.3155	LR: 0.004000
Training Epoch: 13 [1024/46250]	Loss: 0.2802	LR: 0.004000
Training Epoch: 13 [1280/46250]	Loss: 0.2705	LR: 0.004000
Training Epoch: 13 [1536/46250]	Loss: 0.3088	LR: 0.004000
Training Epoch: 13 [1792/46250]	Loss: 0.2654	LR: 0.004000
Training Epoch: 13 [2048/46250]	Loss: 0.3539	LR: 0.004000
Training Epoch: 13 [2304/46250]	Loss: 0.2557	LR: 0.004000
Training Epoch: 13 [2560/46250]	Loss: 0.3124	LR: 0.004000
Training Epoch: 13 [2816/46250]	Loss: 0.3271	LR: 0.004000
Training Epoch: 13 [3072/46250]	Loss: 0.2726	LR: 0.004000
Training Epoch: 13 [3328/46250]	Loss: 0.2796	LR: 0.004000
Training Epoch: 13 [3584/46250]	Loss: 0.3001	LR: 0.004000
Training Epoch: 13 [3840/46250]	Loss: 0.2664	LR: 0.004000
Training Epoch: 13 [4096/46250]	Loss: 0.3542	LR: 0.004000
Training Epoch: 13 [4352/46250]	Loss: 0.3057	LR: 0.004000
Training Epoch: 13 [4608/46250]	Loss: 0.2292	LR: 0.004000
Training Epoch: 13 [4864/46250]	Loss: 0.3233	LR: 0.004000
Training Epoch: 13 [5120/46250]	Loss: 0.2938	LR: 0.004000
Training Epoch: 13 [5376/46250]	Loss: 0.3439	LR: 0.004000
Training Epoch: 13 [5632/46250]	Loss: 0.2610	LR: 0.004000
Training Epoch: 13 [5888/46250]	Loss: 0.3904	LR: 0.004000
Training Epoch: 13 [6144/46250]	Loss: 0.2833	LR: 0.004000
Training Epoch: 13 [6400/46250]	Loss: 0.3581	LR: 0.004000
Training Epoch: 13 [6656/46250]	Loss: 0.3735	LR: 0.004000
Training Epoch: 13 [6912/46250]	Loss: 0.3133	LR: 0.004000
Training Epoch: 13 [7168/46250]	Loss: 0.4027	LR: 0.004000
Training Epoch: 13 [7424/46250]	Loss: 0.3306	LR: 0.004000
Training Epoch: 13 [7680/46250]	Loss: 0.3293	LR: 0.004000
Training Epoch: 13 [7936/46250]	Loss: 0.3059	LR: 0.004000
Training Epoch: 13 [8192/46250]	Loss: 0.3316	LR: 0.004000
Training Epoch: 13 [8448/46250]	Loss: 0.4143	LR: 0.004000
Training Epoch: 13 [8704/46250]	Loss: 0.3733	LR: 0.004000
Training Epoch: 13 [8960/46250]	Loss: 0.4633	LR: 0.004000
Training Epoch: 13 [9216/46250]	Loss: 0.3061	LR: 0.004000
Training Epoch: 13 [9472/46250]	Loss: 0.3542	LR: 0.004000
Training Epoch: 13 [9728/46250]	Loss: 0.2901	LR: 0.004000
Training Epoch: 13 [9984/46250]	Loss: 0.3073	LR: 0.004000
Training Epoch: 13 [10240/46250]	Loss: 0.3549	LR: 0.004000
Training Epoch: 13 [10496/46250]	Loss: 0.3029	LR: 0.004000
Training Epoch: 13 [10752/46250]	Loss: 0.3593	LR: 0.004000
Training Epoch: 13 [11008/46250]	Loss: 0.2940	LR: 0.004000
Training Epoch: 13 [11264/46250]	Loss: 0.3028	LR: 0.004000
Training Epoch: 13 [11520/46250]	Loss: 0.3644	LR: 0.004000
Training Epoch: 13 [11776/46250]	Loss: 0.2937	LR: 0.004000
Training Epoch: 13 [12032/46250]	Loss: 0.3685	LR: 0.004000
Training Epoch: 13 [12288/46250]	Loss: 0.3586	LR: 0.004000
Training Epoch: 13 [12544/46250]	Loss: 0.2834	LR: 0.004000
Training Epoch: 13 [12800/46250]	Loss: 0.3854	LR: 0.004000
Training Epoch: 13 [13056/46250]	Loss: 0.2764	LR: 0.004000
Training Epoch: 13 [13312/46250]	Loss: 0.3068	LR: 0.004000
Training Epoch: 13 [13568/46250]	Loss: 0.3254	LR: 0.004000
Training Epoch: 13 [13824/46250]	Loss: 0.3299	LR: 0.004000
Training Epoch: 13 [14080/46250]	Loss: 0.2862	LR: 0.004000
Training Epoch: 13 [14336/46250]	Loss: 0.2514	LR: 0.004000
Training Epoch: 13 [14592/46250]	Loss: 0.3225	LR: 0.004000
Training Epoch: 13 [14848/46250]	Loss: 0.2776	LR: 0.004000
Training Epoch: 13 [15104/46250]	Loss: 0.2367	LR: 0.004000
Training Epoch: 13 [15360/46250]	Loss: 0.2366	LR: 0.004000
Training Epoch: 13 [15616/46250]	Loss: 0.3158	LR: 0.004000
Training Epoch: 13 [15872/46250]	Loss: 0.2670	LR: 0.004000
Training Epoch: 13 [16128/46250]	Loss: 0.3208	LR: 0.004000
Training Epoch: 13 [16384/46250]	Loss: 0.3874	LR: 0.004000
Training Epoch: 13 [16640/46250]	Loss: 0.4326	LR: 0.004000
Training Epoch: 13 [16896/46250]	Loss: 0.2394	LR: 0.004000
Training Epoch: 13 [17152/46250]	Loss: 0.3324	LR: 0.004000
Training Epoch: 13 [17408/46250]	Loss: 0.3101	LR: 0.004000
Training Epoch: 13 [17664/46250]	Loss: 0.2924	LR: 0.004000
Training Epoch: 13 [17920/46250]	Loss: 0.3332	LR: 0.004000
Training Epoch: 13 [18176/46250]	Loss: 0.2801	LR: 0.004000
Training Epoch: 13 [18432/46250]	Loss: 0.2374	LR: 0.004000
Training Epoch: 13 [18688/46250]	Loss: 0.2986	LR: 0.004000
Training Epoch: 13 [18944/46250]	Loss: 0.3153	LR: 0.004000
Training Epoch: 13 [19200/46250]	Loss: 0.2946	LR: 0.004000
Training Epoch: 13 [19456/46250]	Loss: 0.2641	LR: 0.004000
Training Epoch: 13 [19712/46250]	Loss: 0.3172	LR: 0.004000
Training Epoch: 13 [19968/46250]	Loss: 0.3063	LR: 0.004000
Training Epoch: 13 [20224/46250]	Loss: 0.3417	LR: 0.004000
Training Epoch: 13 [20480/46250]	Loss: 0.2800	LR: 0.004000
Training Epoch: 13 [20736/46250]	Loss: 0.3362	LR: 0.004000
Training Epoch: 13 [20992/46250]	Loss: 0.2794	LR: 0.004000
Training Epoch: 13 [21248/46250]	Loss: 0.3470	LR: 0.004000
Training Epoch: 13 [21504/46250]	Loss: 0.3285	LR: 0.004000
Training Epoch: 13 [21760/46250]	Loss: 0.3864	LR: 0.004000
Training Epoch: 13 [22016/46250]	Loss: 0.3339	LR: 0.004000
Training Epoch: 13 [22272/46250]	Loss: 0.3337	LR: 0.004000
Training Epoch: 13 [22528/46250]	Loss: 0.3507	LR: 0.004000
Training Epoch: 13 [22784/46250]	Loss: 0.2974	LR: 0.004000
Training Epoch: 13 [23040/46250]	Loss: 0.2591	LR: 0.004000
Training Epoch: 13 [23296/46250]	Loss: 0.2624	LR: 0.004000
Training Epoch: 13 [23552/46250]	Loss: 0.2986	LR: 0.004000
Training Epoch: 13 [23808/46250]	Loss: 0.2589	LR: 0.004000
Training Epoch: 13 [24064/46250]	Loss: 0.2866	LR: 0.004000
Training Epoch: 13 [24320/46250]	Loss: 0.3327	LR: 0.004000
Training Epoch: 13 [24576/46250]	Loss: 0.3390	LR: 0.004000
Training Epoch: 13 [24832/46250]	Loss: 0.4119	LR: 0.004000
Training Epoch: 13 [25088/46250]	Loss: 0.2646	LR: 0.004000
Training Epoch: 13 [25344/46250]	Loss: 0.2718	LR: 0.004000
Training Epoch: 13 [25600/46250]	Loss: 0.2253	LR: 0.004000
Training Epoch: 13 [25856/46250]	Loss: 0.3117	LR: 0.004000
Training Epoch: 13 [26112/46250]	Loss: 0.3189	LR: 0.004000
Training Epoch: 13 [26368/46250]	Loss: 0.3232	LR: 0.004000
Training Epoch: 13 [26624/46250]	Loss: 0.2851	LR: 0.004000
Training Epoch: 13 [26880/46250]	Loss: 0.2764	LR: 0.004000
Training Epoch: 13 [27136/46250]	Loss: 0.3107	LR: 0.004000
Training Epoch: 13 [27392/46250]	Loss: 0.2640	LR: 0.004000
Training Epoch: 13 [27648/46250]	Loss: 0.3539	LR: 0.004000
Training Epoch: 13 [27904/46250]	Loss: 0.3006	LR: 0.004000
Training Epoch: 13 [28160/46250]	Loss: 0.2919	LR: 0.004000
Training Epoch: 13 [28416/46250]	Loss: 0.2594	LR: 0.004000
Training Epoch: 13 [28672/46250]	Loss: 0.2707	LR: 0.004000
Training Epoch: 13 [28928/46250]	Loss: 0.2644	LR: 0.004000
Training Epoch: 13 [29184/46250]	Loss: 0.3971	LR: 0.004000
Training Epoch: 13 [29440/46250]	Loss: 0.2423	LR: 0.004000
Training Epoch: 13 [29696/46250]	Loss: 0.3813	LR: 0.004000
Training Epoch: 13 [29952/46250]	Loss: 0.3217	LR: 0.004000
Training Epoch: 13 [30208/46250]	Loss: 0.2322	LR: 0.004000
Training Epoch: 13 [30464/46250]	Loss: 0.2554	LR: 0.004000
Training Epoch: 13 [30720/46250]	Loss: 0.3639	LR: 0.004000
Training Epoch: 13 [30976/46250]	Loss: 0.2855	LR: 0.004000
Training Epoch: 13 [31232/46250]	Loss: 0.3284	LR: 0.004000
Training Epoch: 13 [31488/46250]	Loss: 0.2437	LR: 0.004000
Training Epoch: 13 [31744/46250]	Loss: 0.2942	LR: 0.004000
Training Epoch: 13 [32000/46250]	Loss: 0.3179	LR: 0.004000
Training Epoch: 13 [32256/46250]	Loss: 0.3999	LR: 0.004000
Training Epoch: 13 [32512/46250]	Loss: 0.3362	LR: 0.004000
Training Epoch: 13 [32768/46250]	Loss: 0.3658	LR: 0.004000
Training Epoch: 13 [33024/46250]	Loss: 0.3334	LR: 0.004000
Training Epoch: 13 [33280/46250]	Loss: 0.3755	LR: 0.004000
Training Epoch: 13 [33536/46250]	Loss: 0.3670	LR: 0.004000
Training Epoch: 13 [33792/46250]	Loss: 0.2998	LR: 0.004000
Training Epoch: 13 [34048/46250]	Loss: 0.3070	LR: 0.004000
Training Epoch: 13 [34304/46250]	Loss: 0.3612	LR: 0.004000
Training Epoch: 13 [34560/46250]	Loss: 0.3222	LR: 0.004000
Training Epoch: 13 [34816/46250]	Loss: 0.2801	LR: 0.004000
Training Epoch: 13 [35072/46250]	Loss: 0.2541	LR: 0.004000
Training Epoch: 13 [35328/46250]	Loss: 0.3327	LR: 0.004000
Training Epoch: 13 [35584/46250]	Loss: 0.3293	LR: 0.004000
Training Epoch: 13 [35840/46250]	Loss: 0.4387	LR: 0.004000
Training Epoch: 13 [36096/46250]	Loss: 0.2736	LR: 0.004000
Training Epoch: 13 [36352/46250]	Loss: 0.3061	LR: 0.004000
Training Epoch: 13 [36608/46250]	Loss: 0.2820	LR: 0.004000
Training Epoch: 13 [36864/46250]	Loss: 0.2772	LR: 0.004000
Training Epoch: 13 [37120/46250]	Loss: 0.4167	LR: 0.004000
Training Epoch: 13 [37376/46250]	Loss: 0.3467	LR: 0.004000
Training Epoch: 13 [37632/46250]	Loss: 0.3693	LR: 0.004000
Training Epoch: 13 [37888/46250]	Loss: 0.2670	LR: 0.004000
Training Epoch: 13 [38144/46250]	Loss: 0.3311	LR: 0.004000
Training Epoch: 13 [38400/46250]	Loss: 0.2467	LR: 0.004000
Training Epoch: 13 [38656/46250]	Loss: 0.3221	LR: 0.004000
Training Epoch: 13 [38912/46250]	Loss: 0.2888	LR: 0.004000
Training Epoch: 13 [39168/46250]	Loss: 0.2683	LR: 0.004000
Training Epoch: 13 [39424/46250]	Loss: 0.2751	LR: 0.004000
Training Epoch: 13 [39680/46250]	Loss: 0.2991	LR: 0.004000
Training Epoch: 13 [39936/46250]	Loss: 0.2684	LR: 0.004000
Training Epoch: 13 [40192/46250]	Loss: 0.2537	LR: 0.004000
Training Epoch: 13 [40448/46250]	Loss: 0.2749	LR: 0.004000
Training Epoch: 13 [40704/46250]	Loss: 0.3033	LR: 0.004000
Training Epoch: 13 [40960/46250]	Loss: 0.3203	LR: 0.004000
Training Epoch: 13 [41216/46250]	Loss: 0.2896	LR: 0.004000
Training Epoch: 13 [41472/46250]	Loss: 0.3513	LR: 0.004000
Training Epoch: 13 [41728/46250]	Loss: 0.3816	LR: 0.004000
Training Epoch: 13 [41984/46250]	Loss: 0.2973	LR: 0.004000
Training Epoch: 13 [42240/46250]	Loss: 0.2580	LR: 0.004000
Training Epoch: 13 [42496/46250]	Loss: 0.2638	LR: 0.004000
Training Epoch: 13 [42752/46250]	Loss: 0.3347	LR: 0.004000
Training Epoch: 13 [43008/46250]	Loss: 0.3057	LR: 0.004000
Training Epoch: 13 [43264/46250]	Loss: 0.3079	LR: 0.004000
Training Epoch: 13 [43520/46250]	Loss: 0.3295	LR: 0.004000
Training Epoch: 13 [43776/46250]	Loss: 0.3139	LR: 0.004000
Training Epoch: 13 [44032/46250]	Loss: 0.2995	LR: 0.004000
Training Epoch: 13 [44288/46250]	Loss: 0.2688	LR: 0.004000
Training Epoch: 13 [44544/46250]	Loss: 0.3992	LR: 0.004000
Training Epoch: 13 [44800/46250]	Loss: 0.3547	LR: 0.004000
Training Epoch: 13 [45056/46250]	Loss: 0.3155	LR: 0.004000
Training Epoch: 13 [45312/46250]	Loss: 0.2951	LR: 0.004000
Training Epoch: 13 [45568/46250]	Loss: 0.2823	LR: 0.004000
Training Epoch: 13 [45824/46250]	Loss: 0.2382	LR: 0.004000
Training Epoch: 13 [46080/46250]	Loss: 0.3334	LR: 0.004000
Training Epoch: 13 [46250/46250]	Loss: 0.3495	LR: 0.004000
Epoch 13 - Average Train Loss: 0.3119, Train Accuracy: 0.8913
Epoch 13 training time consumed: 27.98s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0014, Accuracy: 0.8839, Time consumed:0.97s
Training Epoch: 14 [256/46250]	Loss: 0.2966	LR: 0.004000
Training Epoch: 14 [512/46250]	Loss: 0.3769	LR: 0.004000
Training Epoch: 14 [768/46250]	Loss: 0.2763	LR: 0.004000
Training Epoch: 14 [1024/46250]	Loss: 0.2551	LR: 0.004000
Training Epoch: 14 [1280/46250]	Loss: 0.3105	LR: 0.004000
Training Epoch: 14 [1536/46250]	Loss: 0.2134	LR: 0.004000
Training Epoch: 14 [1792/46250]	Loss: 0.2089	LR: 0.004000
Training Epoch: 14 [2048/46250]	Loss: 0.2799	LR: 0.004000
Training Epoch: 14 [2304/46250]	Loss: 0.2260	LR: 0.004000
Training Epoch: 14 [2560/46250]	Loss: 0.2882	LR: 0.004000
Training Epoch: 14 [2816/46250]	Loss: 0.3103	LR: 0.004000
Training Epoch: 14 [3072/46250]	Loss: 0.2929	LR: 0.004000
Training Epoch: 14 [3328/46250]	Loss: 0.4588	LR: 0.004000
Training Epoch: 14 [3584/46250]	Loss: 0.2408	LR: 0.004000
Training Epoch: 14 [3840/46250]	Loss: 0.3125	LR: 0.004000
Training Epoch: 14 [4096/46250]	Loss: 0.3643	LR: 0.004000
Training Epoch: 14 [4352/46250]	Loss: 0.2679	LR: 0.004000
Training Epoch: 14 [4608/46250]	Loss: 0.3254	LR: 0.004000
Training Epoch: 14 [4864/46250]	Loss: 0.3216	LR: 0.004000
Training Epoch: 14 [5120/46250]	Loss: 0.2333	LR: 0.004000
Training Epoch: 14 [5376/46250]	Loss: 0.2823	LR: 0.004000
Training Epoch: 14 [5632/46250]	Loss: 0.2690	LR: 0.004000
Training Epoch: 14 [5888/46250]	Loss: 0.2611	LR: 0.004000
Training Epoch: 14 [6144/46250]	Loss: 0.3253	LR: 0.004000
Training Epoch: 14 [6400/46250]	Loss: 0.2911	LR: 0.004000
Training Epoch: 14 [6656/46250]	Loss: 0.3367	LR: 0.004000
Training Epoch: 14 [6912/46250]	Loss: 0.3715	LR: 0.004000
Training Epoch: 14 [7168/46250]	Loss: 0.2222	LR: 0.004000
Training Epoch: 14 [7424/46250]	Loss: 0.3268	LR: 0.004000
Training Epoch: 14 [7680/46250]	Loss: 0.3297	LR: 0.004000
Training Epoch: 14 [7936/46250]	Loss: 0.2813	LR: 0.004000
Training Epoch: 14 [8192/46250]	Loss: 0.3638	LR: 0.004000
Training Epoch: 14 [8448/46250]	Loss: 0.3106	LR: 0.004000
Training Epoch: 14 [8704/46250]	Loss: 0.2923	LR: 0.004000
Training Epoch: 14 [8960/46250]	Loss: 0.2740	LR: 0.004000
Training Epoch: 14 [9216/46250]	Loss: 0.3033	LR: 0.004000
Training Epoch: 14 [9472/46250]	Loss: 0.3509	LR: 0.004000
Training Epoch: 14 [9728/46250]	Loss: 0.2638	LR: 0.004000
Training Epoch: 14 [9984/46250]	Loss: 0.2873	LR: 0.004000
Training Epoch: 14 [10240/46250]	Loss: 0.2899	LR: 0.004000
Training Epoch: 14 [10496/46250]	Loss: 0.3358	LR: 0.004000
Training Epoch: 14 [10752/46250]	Loss: 0.3044	LR: 0.004000
Training Epoch: 14 [11008/46250]	Loss: 0.2739	LR: 0.004000
Training Epoch: 14 [11264/46250]	Loss: 0.3631	LR: 0.004000
Training Epoch: 14 [11520/46250]	Loss: 0.3193	LR: 0.004000
Training Epoch: 14 [11776/46250]	Loss: 0.2964	LR: 0.004000
Training Epoch: 14 [12032/46250]	Loss: 0.3070	LR: 0.004000
Training Epoch: 14 [12288/46250]	Loss: 0.2440	LR: 0.004000
Training Epoch: 14 [12544/46250]	Loss: 0.2335	LR: 0.004000
Training Epoch: 14 [12800/46250]	Loss: 0.2856	LR: 0.004000
Training Epoch: 14 [13056/46250]	Loss: 0.2213	LR: 0.004000
Training Epoch: 14 [13312/46250]	Loss: 0.3038	LR: 0.004000
Training Epoch: 14 [13568/46250]	Loss: 0.3290	LR: 0.004000
Training Epoch: 14 [13824/46250]	Loss: 0.2811	LR: 0.004000
Training Epoch: 14 [14080/46250]	Loss: 0.2951	LR: 0.004000
Training Epoch: 14 [14336/46250]	Loss: 0.3041	LR: 0.004000
Training Epoch: 14 [14592/46250]	Loss: 0.3388	LR: 0.004000
Training Epoch: 14 [14848/46250]	Loss: 0.3251	LR: 0.004000
Training Epoch: 14 [15104/46250]	Loss: 0.3097	LR: 0.004000
Training Epoch: 14 [15360/46250]	Loss: 0.3199	LR: 0.004000
Training Epoch: 14 [15616/46250]	Loss: 0.3409	LR: 0.004000
Training Epoch: 14 [15872/46250]	Loss: 0.2790	LR: 0.004000
Training Epoch: 14 [16128/46250]	Loss: 0.3328	LR: 0.004000
Training Epoch: 14 [16384/46250]	Loss: 0.3129	LR: 0.004000
Training Epoch: 14 [16640/46250]	Loss: 0.2949	LR: 0.004000
Training Epoch: 14 [16896/46250]	Loss: 0.3291	LR: 0.004000
Training Epoch: 14 [17152/46250]	Loss: 0.2812	LR: 0.004000
Training Epoch: 14 [17408/46250]	Loss: 0.2945	LR: 0.004000
Training Epoch: 14 [17664/46250]	Loss: 0.2876	LR: 0.004000
Training Epoch: 14 [17920/46250]	Loss: 0.3727	LR: 0.004000
Training Epoch: 14 [18176/46250]	Loss: 0.2641	LR: 0.004000
Training Epoch: 14 [18432/46250]	Loss: 0.3101	LR: 0.004000
Training Epoch: 14 [18688/46250]	Loss: 0.3601	LR: 0.004000
Training Epoch: 14 [18944/46250]	Loss: 0.3345	LR: 0.004000
Training Epoch: 14 [19200/46250]	Loss: 0.2504	LR: 0.004000
Training Epoch: 14 [19456/46250]	Loss: 0.3266	LR: 0.004000
Training Epoch: 14 [19712/46250]	Loss: 0.2494	LR: 0.004000
Training Epoch: 14 [19968/46250]	Loss: 0.2861	LR: 0.004000
Training Epoch: 14 [20224/46250]	Loss: 0.3911	LR: 0.004000
Training Epoch: 14 [20480/46250]	Loss: 0.2971	LR: 0.004000
Training Epoch: 14 [20736/46250]	Loss: 0.2897	LR: 0.004000
Training Epoch: 14 [20992/46250]	Loss: 0.3972	LR: 0.004000
Training Epoch: 14 [21248/46250]	Loss: 0.3489	LR: 0.004000
Training Epoch: 14 [21504/46250]	Loss: 0.3589	LR: 0.004000
Training Epoch: 14 [21760/46250]	Loss: 0.2979	LR: 0.004000
Training Epoch: 14 [22016/46250]	Loss: 0.2725	LR: 0.004000
Training Epoch: 14 [22272/46250]	Loss: 0.2782	LR: 0.004000
Training Epoch: 14 [22528/46250]	Loss: 0.2555	LR: 0.004000
Training Epoch: 14 [22784/46250]	Loss: 0.3437	LR: 0.004000
Training Epoch: 14 [23040/46250]	Loss: 0.2539	LR: 0.004000
Training Epoch: 14 [23296/46250]	Loss: 0.2650	LR: 0.004000
Training Epoch: 14 [23552/46250]	Loss: 0.2859	LR: 0.004000
Training Epoch: 14 [23808/46250]	Loss: 0.2728	LR: 0.004000
Training Epoch: 14 [24064/46250]	Loss: 0.3715	LR: 0.004000
Training Epoch: 14 [24320/46250]	Loss: 0.2588	LR: 0.004000
Training Epoch: 14 [24576/46250]	Loss: 0.2487	LR: 0.004000
Training Epoch: 14 [24832/46250]	Loss: 0.3617	LR: 0.004000
Training Epoch: 14 [25088/46250]	Loss: 0.3720	LR: 0.004000
Training Epoch: 14 [25344/46250]	Loss: 0.2875	LR: 0.004000
Training Epoch: 14 [25600/46250]	Loss: 0.3134	LR: 0.004000
Training Epoch: 14 [25856/46250]	Loss: 0.2814	LR: 0.004000
Training Epoch: 14 [26112/46250]	Loss: 0.2882	LR: 0.004000
Training Epoch: 14 [26368/46250]	Loss: 0.3656	LR: 0.004000
Training Epoch: 14 [26624/46250]	Loss: 0.3056	LR: 0.004000
Training Epoch: 14 [26880/46250]	Loss: 0.2268	LR: 0.004000
Training Epoch: 14 [27136/46250]	Loss: 0.2587	LR: 0.004000
Training Epoch: 14 [27392/46250]	Loss: 0.3495	LR: 0.004000
Training Epoch: 14 [27648/46250]	Loss: 0.3916	LR: 0.004000
Training Epoch: 14 [27904/46250]	Loss: 0.3188	LR: 0.004000
Training Epoch: 14 [28160/46250]	Loss: 0.3107	LR: 0.004000
Training Epoch: 14 [28416/46250]	Loss: 0.2120	LR: 0.004000
Training Epoch: 14 [28672/46250]	Loss: 0.2529	LR: 0.004000
Training Epoch: 14 [28928/46250]	Loss: 0.3126	LR: 0.004000
Training Epoch: 14 [29184/46250]	Loss: 0.3321	LR: 0.004000
Training Epoch: 14 [29440/46250]	Loss: 0.2845	LR: 0.004000
Training Epoch: 14 [29696/46250]	Loss: 0.2900	LR: 0.004000
Training Epoch: 14 [29952/46250]	Loss: 0.3289	LR: 0.004000
Training Epoch: 14 [30208/46250]	Loss: 0.2404	LR: 0.004000
Training Epoch: 14 [30464/46250]	Loss: 0.3145	LR: 0.004000
Training Epoch: 14 [30720/46250]	Loss: 0.3183	LR: 0.004000
Training Epoch: 14 [30976/46250]	Loss: 0.2682	LR: 0.004000
Training Epoch: 14 [31232/46250]	Loss: 0.3583	LR: 0.004000
Training Epoch: 14 [31488/46250]	Loss: 0.3418	LR: 0.004000
Training Epoch: 14 [31744/46250]	Loss: 0.2556	LR: 0.004000
Training Epoch: 14 [32000/46250]	Loss: 0.3294	LR: 0.004000
Training Epoch: 14 [32256/46250]	Loss: 0.2778	LR: 0.004000
Training Epoch: 14 [32512/46250]	Loss: 0.3114	LR: 0.004000
Training Epoch: 14 [32768/46250]	Loss: 0.3373	LR: 0.004000
Training Epoch: 14 [33024/46250]	Loss: 0.2953	LR: 0.004000
Training Epoch: 14 [33280/46250]	Loss: 0.2685	LR: 0.004000
Training Epoch: 14 [33536/46250]	Loss: 0.3326	LR: 0.004000
Training Epoch: 14 [33792/46250]	Loss: 0.2572	LR: 0.004000
Training Epoch: 14 [34048/46250]	Loss: 0.2428	LR: 0.004000
Training Epoch: 14 [34304/46250]	Loss: 0.2800	LR: 0.004000
Training Epoch: 14 [34560/46250]	Loss: 0.2447	LR: 0.004000
Training Epoch: 14 [34816/46250]	Loss: 0.2525	LR: 0.004000
Training Epoch: 14 [35072/46250]	Loss: 0.3297	LR: 0.004000
Training Epoch: 14 [35328/46250]	Loss: 0.2564	LR: 0.004000
Training Epoch: 14 [35584/46250]	Loss: 0.3412	LR: 0.004000
Training Epoch: 14 [35840/46250]	Loss: 0.2732	LR: 0.004000
Training Epoch: 14 [36096/46250]	Loss: 0.2914	LR: 0.004000
Training Epoch: 14 [36352/46250]	Loss: 0.3245	LR: 0.004000
Training Epoch: 14 [36608/46250]	Loss: 0.3318	LR: 0.004000
Training Epoch: 14 [36864/46250]	Loss: 0.2215	LR: 0.004000
Training Epoch: 14 [37120/46250]	Loss: 0.3563	LR: 0.004000
Training Epoch: 14 [37376/46250]	Loss: 0.3444	LR: 0.004000
Training Epoch: 14 [37632/46250]	Loss: 0.3371	LR: 0.004000
Training Epoch: 14 [37888/46250]	Loss: 0.2544	LR: 0.004000
Training Epoch: 14 [38144/46250]	Loss: 0.3470	LR: 0.004000
Training Epoch: 14 [38400/46250]	Loss: 0.3121	LR: 0.004000
Training Epoch: 14 [38656/46250]	Loss: 0.3364	LR: 0.004000
Training Epoch: 14 [38912/46250]	Loss: 0.3056	LR: 0.004000
Training Epoch: 14 [39168/46250]	Loss: 0.3458	LR: 0.004000
Training Epoch: 14 [39424/46250]	Loss: 0.2970	LR: 0.004000
Training Epoch: 14 [39680/46250]	Loss: 0.3389	LR: 0.004000
Training Epoch: 14 [39936/46250]	Loss: 0.3085	LR: 0.004000
Training Epoch: 14 [40192/46250]	Loss: 0.3946	LR: 0.004000
Training Epoch: 14 [40448/46250]	Loss: 0.2361	LR: 0.004000
Training Epoch: 14 [40704/46250]	Loss: 0.2908	LR: 0.004000
Training Epoch: 14 [40960/46250]	Loss: 0.3701	LR: 0.004000
Training Epoch: 14 [41216/46250]	Loss: 0.3255	LR: 0.004000
Training Epoch: 14 [41472/46250]	Loss: 0.2864	LR: 0.004000
Training Epoch: 14 [41728/46250]	Loss: 0.2771	LR: 0.004000
Training Epoch: 14 [41984/46250]	Loss: 0.3306	LR: 0.004000
Training Epoch: 14 [42240/46250]	Loss: 0.3387	LR: 0.004000
Training Epoch: 14 [42496/46250]	Loss: 0.3055	LR: 0.004000
Training Epoch: 14 [42752/46250]	Loss: 0.2994	LR: 0.004000
Training Epoch: 14 [43008/46250]	Loss: 0.3011	LR: 0.004000
Training Epoch: 14 [43264/46250]	Loss: 0.2981	LR: 0.004000
Training Epoch: 14 [43520/46250]	Loss: 0.2273	LR: 0.004000
Training Epoch: 14 [43776/46250]	Loss: 0.3351	LR: 0.004000
Training Epoch: 14 [44032/46250]	Loss: 0.3294	LR: 0.004000
Training Epoch: 14 [44288/46250]	Loss: 0.3087	LR: 0.004000
Training Epoch: 14 [44544/46250]	Loss: 0.3400	LR: 0.004000
Training Epoch: 14 [44800/46250]	Loss: 0.3176	LR: 0.004000
Training Epoch: 14 [45056/46250]	Loss: 0.2809	LR: 0.004000
Training Epoch: 14 [45312/46250]	Loss: 0.2727	LR: 0.004000
Training Epoch: 14 [45568/46250]	Loss: 0.3120	LR: 0.004000
Training Epoch: 14 [45824/46250]	Loss: 0.2644	LR: 0.004000
Training Epoch: 14 [46080/46250]	Loss: 0.2923	LR: 0.004000
Training Epoch: 14 [46250/46250]	Loss: 0.2775	LR: 0.004000
Epoch 14 - Average Train Loss: 0.3023, Train Accuracy: 0.8950
Epoch 14 training time consumed: 27.98s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0014, Accuracy: 0.8830, Time consumed:0.93s
Training Epoch: 15 [256/46250]	Loss: 0.3127	LR: 0.004000
Training Epoch: 15 [512/46250]	Loss: 0.3138	LR: 0.004000
Training Epoch: 15 [768/46250]	Loss: 0.3415	LR: 0.004000
Training Epoch: 15 [1024/46250]	Loss: 0.3123	LR: 0.004000
Training Epoch: 15 [1280/46250]	Loss: 0.3543	LR: 0.004000
Training Epoch: 15 [1536/46250]	Loss: 0.3459	LR: 0.004000
Training Epoch: 15 [1792/46250]	Loss: 0.3278	LR: 0.004000
Training Epoch: 15 [2048/46250]	Loss: 0.3119	LR: 0.004000
Training Epoch: 15 [2304/46250]	Loss: 0.2357	LR: 0.004000
Training Epoch: 15 [2560/46250]	Loss: 0.3256	LR: 0.004000
Training Epoch: 15 [2816/46250]	Loss: 0.1990	LR: 0.004000
Training Epoch: 15 [3072/46250]	Loss: 0.3175	LR: 0.004000
Training Epoch: 15 [3328/46250]	Loss: 0.3267	LR: 0.004000
Training Epoch: 15 [3584/46250]	Loss: 0.3129	LR: 0.004000
Training Epoch: 15 [3840/46250]	Loss: 0.2590	LR: 0.004000
Training Epoch: 15 [4096/46250]	Loss: 0.3606	LR: 0.004000
Training Epoch: 15 [4352/46250]	Loss: 0.2957	LR: 0.004000
Training Epoch: 15 [4608/46250]	Loss: 0.2509	LR: 0.004000
Training Epoch: 15 [4864/46250]	Loss: 0.2930	LR: 0.004000
Training Epoch: 15 [5120/46250]	Loss: 0.3000	LR: 0.004000
Training Epoch: 15 [5376/46250]	Loss: 0.2206	LR: 0.004000
Training Epoch: 15 [5632/46250]	Loss: 0.1983	LR: 0.004000
Training Epoch: 15 [5888/46250]	Loss: 0.2061	LR: 0.004000
Training Epoch: 15 [6144/46250]	Loss: 0.2968	LR: 0.004000
Training Epoch: 15 [6400/46250]	Loss: 0.3211	LR: 0.004000
Training Epoch: 15 [6656/46250]	Loss: 0.3414	LR: 0.004000
Training Epoch: 15 [6912/46250]	Loss: 0.2993	LR: 0.004000
Training Epoch: 15 [7168/46250]	Loss: 0.2918	LR: 0.004000
Training Epoch: 15 [7424/46250]	Loss: 0.3412	LR: 0.004000
Training Epoch: 15 [7680/46250]	Loss: 0.2546	LR: 0.004000
Training Epoch: 15 [7936/46250]	Loss: 0.2937	LR: 0.004000
Training Epoch: 15 [8192/46250]	Loss: 0.2904	LR: 0.004000
Training Epoch: 15 [8448/46250]	Loss: 0.3420	LR: 0.004000
Training Epoch: 15 [8704/46250]	Loss: 0.2457	LR: 0.004000
Training Epoch: 15 [8960/46250]	Loss: 0.3010	LR: 0.004000
Training Epoch: 15 [9216/46250]	Loss: 0.2581	LR: 0.004000
Training Epoch: 15 [9472/46250]	Loss: 0.2439	LR: 0.004000
Training Epoch: 15 [9728/46250]	Loss: 0.2901	LR: 0.004000
Training Epoch: 15 [9984/46250]	Loss: 0.2929	LR: 0.004000
Training Epoch: 15 [10240/46250]	Loss: 0.3496	LR: 0.004000
Training Epoch: 15 [10496/46250]	Loss: 0.3410	LR: 0.004000
Training Epoch: 15 [10752/46250]	Loss: 0.2762	LR: 0.004000
Training Epoch: 15 [11008/46250]	Loss: 0.2311	LR: 0.004000
Training Epoch: 15 [11264/46250]	Loss: 0.2672	LR: 0.004000
Training Epoch: 15 [11520/46250]	Loss: 0.3436	LR: 0.004000
Training Epoch: 15 [11776/46250]	Loss: 0.2783	LR: 0.004000
Training Epoch: 15 [12032/46250]	Loss: 0.3906	LR: 0.004000
Training Epoch: 15 [12288/46250]	Loss: 0.3170	LR: 0.004000
Training Epoch: 15 [12544/46250]	Loss: 0.2438	LR: 0.004000
Training Epoch: 15 [12800/46250]	Loss: 0.2231	LR: 0.004000
Training Epoch: 15 [13056/46250]	Loss: 0.2687	LR: 0.004000
Training Epoch: 15 [13312/46250]	Loss: 0.2936	LR: 0.004000
Training Epoch: 15 [13568/46250]	Loss: 0.3655	LR: 0.004000
Training Epoch: 15 [13824/46250]	Loss: 0.3218	LR: 0.004000
Training Epoch: 15 [14080/46250]	Loss: 0.3644	LR: 0.004000
Training Epoch: 15 [14336/46250]	Loss: 0.2620	LR: 0.004000
Training Epoch: 15 [14592/46250]	Loss: 0.3077	LR: 0.004000
Training Epoch: 15 [14848/46250]	Loss: 0.2564	LR: 0.004000
Training Epoch: 15 [15104/46250]	Loss: 0.2910	LR: 0.004000
Training Epoch: 15 [15360/46250]	Loss: 0.3205	LR: 0.004000
Training Epoch: 15 [15616/46250]	Loss: 0.3192	LR: 0.004000
Training Epoch: 15 [15872/46250]	Loss: 0.2911	LR: 0.004000
Training Epoch: 15 [16128/46250]	Loss: 0.2694	LR: 0.004000
Training Epoch: 15 [16384/46250]	Loss: 0.3084	LR: 0.004000
Training Epoch: 15 [16640/46250]	Loss: 0.3301	LR: 0.004000
Training Epoch: 15 [16896/46250]	Loss: 0.2537	LR: 0.004000
Training Epoch: 15 [17152/46250]	Loss: 0.2736	LR: 0.004000
Training Epoch: 15 [17408/46250]	Loss: 0.3118	LR: 0.004000
Training Epoch: 15 [17664/46250]	Loss: 0.3368	LR: 0.004000
Training Epoch: 15 [17920/46250]	Loss: 0.3128	LR: 0.004000
Training Epoch: 15 [18176/46250]	Loss: 0.1858	LR: 0.004000
Training Epoch: 15 [18432/46250]	Loss: 0.3300	LR: 0.004000
Training Epoch: 15 [18688/46250]	Loss: 0.2860	LR: 0.004000
Training Epoch: 15 [18944/46250]	Loss: 0.2983	LR: 0.004000
Training Epoch: 15 [19200/46250]	Loss: 0.2331	LR: 0.004000
Training Epoch: 15 [19456/46250]	Loss: 0.2921	LR: 0.004000
Training Epoch: 15 [19712/46250]	Loss: 0.2341	LR: 0.004000
Training Epoch: 15 [19968/46250]	Loss: 0.2695	LR: 0.004000
Training Epoch: 15 [20224/46250]	Loss: 0.3602	LR: 0.004000
Training Epoch: 15 [20480/46250]	Loss: 0.2659	LR: 0.004000
Training Epoch: 15 [20736/46250]	Loss: 0.2552	LR: 0.004000
Training Epoch: 15 [20992/46250]	Loss: 0.2887	LR: 0.004000
Training Epoch: 15 [21248/46250]	Loss: 0.2555	LR: 0.004000
Training Epoch: 15 [21504/46250]	Loss: 0.3193	LR: 0.004000
Training Epoch: 15 [21760/46250]	Loss: 0.2495	LR: 0.004000
Training Epoch: 15 [22016/46250]	Loss: 0.3492	LR: 0.004000
Training Epoch: 15 [22272/46250]	Loss: 0.2934	LR: 0.004000
Training Epoch: 15 [22528/46250]	Loss: 0.2984	LR: 0.004000
Training Epoch: 15 [22784/46250]	Loss: 0.3378	LR: 0.004000
Training Epoch: 15 [23040/46250]	Loss: 0.2049	LR: 0.004000
Training Epoch: 15 [23296/46250]	Loss: 0.2480	LR: 0.004000
Training Epoch: 15 [23552/46250]	Loss: 0.3077	LR: 0.004000
Training Epoch: 15 [23808/46250]	Loss: 0.1931	LR: 0.004000
Training Epoch: 15 [24064/46250]	Loss: 0.2790	LR: 0.004000
Training Epoch: 15 [24320/46250]	Loss: 0.2424	LR: 0.004000
Training Epoch: 15 [24576/46250]	Loss: 0.2828	LR: 0.004000
Training Epoch: 15 [24832/46250]	Loss: 0.2470	LR: 0.004000
Training Epoch: 15 [25088/46250]	Loss: 0.3345	LR: 0.004000
Training Epoch: 15 [25344/46250]	Loss: 0.3519	LR: 0.004000
Training Epoch: 15 [25600/46250]	Loss: 0.3805	LR: 0.004000
Training Epoch: 15 [25856/46250]	Loss: 0.4397	LR: 0.004000
Training Epoch: 15 [26112/46250]	Loss: 0.2850	LR: 0.004000
Training Epoch: 15 [26368/46250]	Loss: 0.3346	LR: 0.004000
Training Epoch: 15 [26624/46250]	Loss: 0.3517	LR: 0.004000
Training Epoch: 15 [26880/46250]	Loss: 0.2743	LR: 0.004000
Training Epoch: 15 [27136/46250]	Loss: 0.2359	LR: 0.004000
Training Epoch: 15 [27392/46250]	Loss: 0.3399	LR: 0.004000
Training Epoch: 15 [27648/46250]	Loss: 0.2645	LR: 0.004000
Training Epoch: 15 [27904/46250]	Loss: 0.2691	LR: 0.004000
Training Epoch: 15 [28160/46250]	Loss: 0.3165	LR: 0.004000
Training Epoch: 15 [28416/46250]	Loss: 0.2427	LR: 0.004000
Training Epoch: 15 [28672/46250]	Loss: 0.3027	LR: 0.004000
Training Epoch: 15 [28928/46250]	Loss: 0.3002	LR: 0.004000
Training Epoch: 15 [29184/46250]	Loss: 0.3125	LR: 0.004000
Training Epoch: 15 [29440/46250]	Loss: 0.3673	LR: 0.004000
Training Epoch: 15 [29696/46250]	Loss: 0.3517	LR: 0.004000
Training Epoch: 15 [29952/46250]	Loss: 0.3014	LR: 0.004000
Training Epoch: 15 [30208/46250]	Loss: 0.2857	LR: 0.004000
Training Epoch: 15 [30464/46250]	Loss: 0.3149	LR: 0.004000
Training Epoch: 15 [30720/46250]	Loss: 0.2070	LR: 0.004000
Training Epoch: 15 [30976/46250]	Loss: 0.3142	LR: 0.004000
Training Epoch: 15 [31232/46250]	Loss: 0.3000	LR: 0.004000
Training Epoch: 15 [31488/46250]	Loss: 0.4254	LR: 0.004000
Training Epoch: 15 [31744/46250]	Loss: 0.3323	LR: 0.004000
Training Epoch: 15 [32000/46250]	Loss: 0.2566	LR: 0.004000
Training Epoch: 15 [32256/46250]	Loss: 0.2980	LR: 0.004000
Training Epoch: 15 [32512/46250]	Loss: 0.3840	LR: 0.004000
Training Epoch: 15 [32768/46250]	Loss: 0.2992	LR: 0.004000
Training Epoch: 15 [33024/46250]	Loss: 0.3648	LR: 0.004000
Training Epoch: 15 [33280/46250]	Loss: 0.2839	LR: 0.004000
Training Epoch: 15 [33536/46250]	Loss: 0.2115	LR: 0.004000
Training Epoch: 15 [33792/46250]	Loss: 0.3019	LR: 0.004000
Training Epoch: 15 [34048/46250]	Loss: 0.2886	LR: 0.004000
Training Epoch: 15 [34304/46250]	Loss: 0.2764	LR: 0.004000
Training Epoch: 15 [34560/46250]	Loss: 0.2696	LR: 0.004000
Training Epoch: 15 [34816/46250]	Loss: 0.3352	LR: 0.004000
Training Epoch: 15 [35072/46250]	Loss: 0.2448	LR: 0.004000
Training Epoch: 15 [35328/46250]	Loss: 0.2585	LR: 0.004000
Training Epoch: 15 [35584/46250]	Loss: 0.3617	LR: 0.004000
Training Epoch: 15 [35840/46250]	Loss: 0.2824	LR: 0.004000
Training Epoch: 15 [36096/46250]	Loss: 0.2996	LR: 0.004000
Training Epoch: 15 [36352/46250]	Loss: 0.3811	LR: 0.004000
Training Epoch: 15 [36608/46250]	Loss: 0.2858	LR: 0.004000
Training Epoch: 15 [36864/46250]	Loss: 0.3352	LR: 0.004000
Training Epoch: 15 [37120/46250]	Loss: 0.2306	LR: 0.004000
Training Epoch: 15 [37376/46250]	Loss: 0.3079	LR: 0.004000
Training Epoch: 15 [37632/46250]	Loss: 0.2751	LR: 0.004000
Training Epoch: 15 [37888/46250]	Loss: 0.2638	LR: 0.004000
Training Epoch: 15 [38144/46250]	Loss: 0.3418	LR: 0.004000
Training Epoch: 15 [38400/46250]	Loss: 0.2683	LR: 0.004000
Training Epoch: 15 [38656/46250]	Loss: 0.3612	LR: 0.004000
Training Epoch: 15 [38912/46250]	Loss: 0.2674	LR: 0.004000
Training Epoch: 15 [39168/46250]	Loss: 0.2955	LR: 0.004000
Training Epoch: 15 [39424/46250]	Loss: 0.2727	LR: 0.004000
Training Epoch: 15 [39680/46250]	Loss: 0.4201	LR: 0.004000
Training Epoch: 15 [39936/46250]	Loss: 0.3155	LR: 0.004000
Training Epoch: 15 [40192/46250]	Loss: 0.2104	LR: 0.004000
Training Epoch: 15 [40448/46250]	Loss: 0.2931	LR: 0.004000
Training Epoch: 15 [40704/46250]	Loss: 0.2774	LR: 0.004000
Training Epoch: 15 [40960/46250]	Loss: 0.2282	LR: 0.004000
Training Epoch: 15 [41216/46250]	Loss: 0.2165	LR: 0.004000
Training Epoch: 15 [41472/46250]	Loss: 0.3466	LR: 0.004000
Training Epoch: 15 [41728/46250]	Loss: 0.3029	LR: 0.004000
Training Epoch: 15 [41984/46250]	Loss: 0.2256	LR: 0.004000
Training Epoch: 15 [42240/46250]	Loss: 0.3352	LR: 0.004000
Training Epoch: 15 [42496/46250]	Loss: 0.2870	LR: 0.004000
Training Epoch: 15 [42752/46250]	Loss: 0.3139	LR: 0.004000
Training Epoch: 15 [43008/46250]	Loss: 0.3256	LR: 0.004000
Training Epoch: 15 [43264/46250]	Loss: 0.2903	LR: 0.004000
Training Epoch: 15 [43520/46250]	Loss: 0.3409	LR: 0.004000
Training Epoch: 15 [43776/46250]	Loss: 0.2584	LR: 0.004000
Training Epoch: 15 [44032/46250]	Loss: 0.2771	LR: 0.004000
Training Epoch: 15 [44288/46250]	Loss: 0.2817	LR: 0.004000
Training Epoch: 15 [44544/46250]	Loss: 0.2703	LR: 0.004000
Training Epoch: 15 [44800/46250]	Loss: 0.3511	LR: 0.004000
Training Epoch: 15 [45056/46250]	Loss: 0.3550	LR: 0.004000
Training Epoch: 15 [45312/46250]	Loss: 0.4129	LR: 0.004000
Training Epoch: 15 [45568/46250]	Loss: 0.2782	LR: 0.004000
Training Epoch: 15 [45824/46250]	Loss: 0.3104	LR: 0.004000
Training Epoch: 15 [46080/46250]	Loss: 0.2691	LR: 0.004000
Training Epoch: 15 [46250/46250]	Loss: 0.3349	LR: 0.004000
Epoch 15 - Average Train Loss: 0.2967, Train Accuracy: 0.8963
Epoch 15 training time consumed: 28.05s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0013, Accuracy: 0.8855, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_08h_24m_45s/ResNet18-Cifar10-seed7-ret25-15-best.pth
Training Epoch: 16 [256/46250]	Loss: 0.2586	LR: 0.000800
Training Epoch: 16 [512/46250]	Loss: 0.3165	LR: 0.000800
Training Epoch: 16 [768/46250]	Loss: 0.3086	LR: 0.000800
Training Epoch: 16 [1024/46250]	Loss: 0.2818	LR: 0.000800
Training Epoch: 16 [1280/46250]	Loss: 0.3081	LR: 0.000800
Training Epoch: 16 [1536/46250]	Loss: 0.3086	LR: 0.000800
Training Epoch: 16 [1792/46250]	Loss: 0.3207	LR: 0.000800
Training Epoch: 16 [2048/46250]	Loss: 0.2788	LR: 0.000800
Training Epoch: 16 [2304/46250]	Loss: 0.2343	LR: 0.000800
Training Epoch: 16 [2560/46250]	Loss: 0.3058	LR: 0.000800
Training Epoch: 16 [2816/46250]	Loss: 0.2817	LR: 0.000800
Training Epoch: 16 [3072/46250]	Loss: 0.2506	LR: 0.000800
Training Epoch: 16 [3328/46250]	Loss: 0.2309	LR: 0.000800
Training Epoch: 16 [3584/46250]	Loss: 0.3156	LR: 0.000800
Training Epoch: 16 [3840/46250]	Loss: 0.2605	LR: 0.000800
Training Epoch: 16 [4096/46250]	Loss: 0.3108	LR: 0.000800
Training Epoch: 16 [4352/46250]	Loss: 0.2372	LR: 0.000800
Training Epoch: 16 [4608/46250]	Loss: 0.3612	LR: 0.000800
Training Epoch: 16 [4864/46250]	Loss: 0.2430	LR: 0.000800
Training Epoch: 16 [5120/46250]	Loss: 0.2727	LR: 0.000800
Training Epoch: 16 [5376/46250]	Loss: 0.2649	LR: 0.000800
Training Epoch: 16 [5632/46250]	Loss: 0.3110	LR: 0.000800
Training Epoch: 16 [5888/46250]	Loss: 0.3383	LR: 0.000800
Training Epoch: 16 [6144/46250]	Loss: 0.2948	LR: 0.000800
Training Epoch: 16 [6400/46250]	Loss: 0.2605	LR: 0.000800
Training Epoch: 16 [6656/46250]	Loss: 0.2672	LR: 0.000800
Training Epoch: 16 [6912/46250]	Loss: 0.1712	LR: 0.000800
Training Epoch: 16 [7168/46250]	Loss: 0.3037	LR: 0.000800
Training Epoch: 16 [7424/46250]	Loss: 0.3291	LR: 0.000800
Training Epoch: 16 [7680/46250]	Loss: 0.3433	LR: 0.000800
Training Epoch: 16 [7936/46250]	Loss: 0.2631	LR: 0.000800
Training Epoch: 16 [8192/46250]	Loss: 0.2668	LR: 0.000800
Training Epoch: 16 [8448/46250]	Loss: 0.3587	LR: 0.000800
Training Epoch: 16 [8704/46250]	Loss: 0.3177	LR: 0.000800
Training Epoch: 16 [8960/46250]	Loss: 0.2590	LR: 0.000800
Training Epoch: 16 [9216/46250]	Loss: 0.2394	LR: 0.000800
Training Epoch: 16 [9472/46250]	Loss: 0.3800	LR: 0.000800
Training Epoch: 16 [9728/46250]	Loss: 0.2589	LR: 0.000800
Training Epoch: 16 [9984/46250]	Loss: 0.2405	LR: 0.000800
Training Epoch: 16 [10240/46250]	Loss: 0.2160	LR: 0.000800
Training Epoch: 16 [10496/46250]	Loss: 0.2863	LR: 0.000800
Training Epoch: 16 [10752/46250]	Loss: 0.2440	LR: 0.000800
Training Epoch: 16 [11008/46250]	Loss: 0.2139	LR: 0.000800
Training Epoch: 16 [11264/46250]	Loss: 0.2761	LR: 0.000800
Training Epoch: 16 [11520/46250]	Loss: 0.2395	LR: 0.000800
Training Epoch: 16 [11776/46250]	Loss: 0.3457	LR: 0.000800
Training Epoch: 16 [12032/46250]	Loss: 0.3297	LR: 0.000800
Training Epoch: 16 [12288/46250]	Loss: 0.2637	LR: 0.000800
Training Epoch: 16 [12544/46250]	Loss: 0.2558	LR: 0.000800
Training Epoch: 16 [12800/46250]	Loss: 0.2990	LR: 0.000800
Training Epoch: 16 [13056/46250]	Loss: 0.2569	LR: 0.000800
Training Epoch: 16 [13312/46250]	Loss: 0.3486	LR: 0.000800
Training Epoch: 16 [13568/46250]	Loss: 0.2921	LR: 0.000800
Training Epoch: 16 [13824/46250]	Loss: 0.2774	LR: 0.000800
Training Epoch: 16 [14080/46250]	Loss: 0.2672	LR: 0.000800
Training Epoch: 16 [14336/46250]	Loss: 0.2658	LR: 0.000800
Training Epoch: 16 [14592/46250]	Loss: 0.2000	LR: 0.000800
Training Epoch: 16 [14848/46250]	Loss: 0.1877	LR: 0.000800
Training Epoch: 16 [15104/46250]	Loss: 0.3219	LR: 0.000800
Training Epoch: 16 [15360/46250]	Loss: 0.3318	LR: 0.000800
Training Epoch: 16 [15616/46250]	Loss: 0.3027	LR: 0.000800
Training Epoch: 16 [15872/46250]	Loss: 0.2821	LR: 0.000800
Training Epoch: 16 [16128/46250]	Loss: 0.2992	LR: 0.000800
Training Epoch: 16 [16384/46250]	Loss: 0.2354	LR: 0.000800
Training Epoch: 16 [16640/46250]	Loss: 0.2686	LR: 0.000800
Training Epoch: 16 [16896/46250]	Loss: 0.2556	LR: 0.000800
Training Epoch: 16 [17152/46250]	Loss: 0.3269	LR: 0.000800
Training Epoch: 16 [17408/46250]	Loss: 0.2252	LR: 0.000800
Training Epoch: 16 [17664/46250]	Loss: 0.2488	LR: 0.000800
Training Epoch: 16 [17920/46250]	Loss: 0.2848	LR: 0.000800
Training Epoch: 16 [18176/46250]	Loss: 0.2236	LR: 0.000800
Training Epoch: 16 [18432/46250]	Loss: 0.3251	LR: 0.000800
Training Epoch: 16 [18688/46250]	Loss: 0.4149	LR: 0.000800
Training Epoch: 16 [18944/46250]	Loss: 0.2948	LR: 0.000800
Training Epoch: 16 [19200/46250]	Loss: 0.2720	LR: 0.000800
Training Epoch: 16 [19456/46250]	Loss: 0.1977	LR: 0.000800
Training Epoch: 16 [19712/46250]	Loss: 0.2218	LR: 0.000800
Training Epoch: 16 [19968/46250]	Loss: 0.2534	LR: 0.000800
Training Epoch: 16 [20224/46250]	Loss: 0.2646	LR: 0.000800
Training Epoch: 16 [20480/46250]	Loss: 0.2374	LR: 0.000800
Training Epoch: 16 [20736/46250]	Loss: 0.3504	LR: 0.000800
Training Epoch: 16 [20992/46250]	Loss: 0.3197	LR: 0.000800
Training Epoch: 16 [21248/46250]	Loss: 0.1930	LR: 0.000800
Training Epoch: 16 [21504/46250]	Loss: 0.3659	LR: 0.000800
Training Epoch: 16 [21760/46250]	Loss: 0.2785	LR: 0.000800
Training Epoch: 16 [22016/46250]	Loss: 0.3267	LR: 0.000800
Training Epoch: 16 [22272/46250]	Loss: 0.2687	LR: 0.000800
Training Epoch: 16 [22528/46250]	Loss: 0.2879	LR: 0.000800
Training Epoch: 16 [22784/46250]	Loss: 0.2328	LR: 0.000800
Training Epoch: 16 [23040/46250]	Loss: 0.2697	LR: 0.000800
Training Epoch: 16 [23296/46250]	Loss: 0.2748	LR: 0.000800
Training Epoch: 16 [23552/46250]	Loss: 0.2935	LR: 0.000800
Training Epoch: 16 [23808/46250]	Loss: 0.2688	LR: 0.000800
Training Epoch: 16 [24064/46250]	Loss: 0.2564	LR: 0.000800
Training Epoch: 16 [24320/46250]	Loss: 0.2555	LR: 0.000800
Training Epoch: 16 [24576/46250]	Loss: 0.2086	LR: 0.000800
Training Epoch: 16 [24832/46250]	Loss: 0.2293	LR: 0.000800
Training Epoch: 16 [25088/46250]	Loss: 0.3265	LR: 0.000800
Training Epoch: 16 [25344/46250]	Loss: 0.3097	LR: 0.000800
Training Epoch: 16 [25600/46250]	Loss: 0.2684	LR: 0.000800
Training Epoch: 16 [25856/46250]	Loss: 0.2349	LR: 0.000800
Training Epoch: 16 [26112/46250]	Loss: 0.3582	LR: 0.000800
Training Epoch: 16 [26368/46250]	Loss: 0.2890	LR: 0.000800
Training Epoch: 16 [26624/46250]	Loss: 0.3000	LR: 0.000800
Training Epoch: 16 [26880/46250]	Loss: 0.2667	LR: 0.000800
Training Epoch: 16 [27136/46250]	Loss: 0.2987	LR: 0.000800
Training Epoch: 16 [27392/46250]	Loss: 0.2202	LR: 0.000800
Training Epoch: 16 [27648/46250]	Loss: 0.2463	LR: 0.000800
Training Epoch: 16 [27904/46250]	Loss: 0.2867	LR: 0.000800
Training Epoch: 16 [28160/46250]	Loss: 0.3009	LR: 0.000800
Training Epoch: 16 [28416/46250]	Loss: 0.3232	LR: 0.000800
Training Epoch: 16 [28672/46250]	Loss: 0.3062	LR: 0.000800
Training Epoch: 16 [28928/46250]	Loss: 0.2316	LR: 0.000800
Training Epoch: 16 [29184/46250]	Loss: 0.3133	LR: 0.000800
Training Epoch: 16 [29440/46250]	Loss: 0.3484	LR: 0.000800
Training Epoch: 16 [29696/46250]	Loss: 0.2268	LR: 0.000800
Training Epoch: 16 [29952/46250]	Loss: 0.3474	LR: 0.000800
Training Epoch: 16 [30208/46250]	Loss: 0.2142	LR: 0.000800
Training Epoch: 16 [30464/46250]	Loss: 0.2566	LR: 0.000800
Training Epoch: 16 [30720/46250]	Loss: 0.2568	LR: 0.000800
Training Epoch: 16 [30976/46250]	Loss: 0.3085	LR: 0.000800
Training Epoch: 16 [31232/46250]	Loss: 0.2987	LR: 0.000800
Training Epoch: 16 [31488/46250]	Loss: 0.2871	LR: 0.000800
Training Epoch: 16 [31744/46250]	Loss: 0.3463	LR: 0.000800
Training Epoch: 16 [32000/46250]	Loss: 0.2991	LR: 0.000800
Training Epoch: 16 [32256/46250]	Loss: 0.3163	LR: 0.000800
Training Epoch: 16 [32512/46250]	Loss: 0.2621	LR: 0.000800
Training Epoch: 16 [32768/46250]	Loss: 0.3380	LR: 0.000800
Training Epoch: 16 [33024/46250]	Loss: 0.2489	LR: 0.000800
Training Epoch: 16 [33280/46250]	Loss: 0.3261	LR: 0.000800
Training Epoch: 16 [33536/46250]	Loss: 0.3461	LR: 0.000800
Training Epoch: 16 [33792/46250]	Loss: 0.2535	LR: 0.000800
Training Epoch: 16 [34048/46250]	Loss: 0.3623	LR: 0.000800
Training Epoch: 16 [34304/46250]	Loss: 0.3311	LR: 0.000800
Training Epoch: 16 [34560/46250]	Loss: 0.2784	LR: 0.000800
Training Epoch: 16 [34816/46250]	Loss: 0.3833	LR: 0.000800
Training Epoch: 16 [35072/46250]	Loss: 0.3498	LR: 0.000800
Training Epoch: 16 [35328/46250]	Loss: 0.2416	LR: 0.000800
Training Epoch: 16 [35584/46250]	Loss: 0.2522	LR: 0.000800
Training Epoch: 16 [35840/46250]	Loss: 0.3069	LR: 0.000800
Training Epoch: 16 [36096/46250]	Loss: 0.2120	LR: 0.000800
Training Epoch: 16 [36352/46250]	Loss: 0.3737	LR: 0.000800
Training Epoch: 16 [36608/46250]	Loss: 0.3080	LR: 0.000800
Training Epoch: 16 [36864/46250]	Loss: 0.1985	LR: 0.000800
Training Epoch: 16 [37120/46250]	Loss: 0.2667	LR: 0.000800
Training Epoch: 16 [37376/46250]	Loss: 0.3631	LR: 0.000800
Training Epoch: 16 [37632/46250]	Loss: 0.2253	LR: 0.000800
Training Epoch: 16 [37888/46250]	Loss: 0.2386	LR: 0.000800
Training Epoch: 16 [38144/46250]	Loss: 0.3038	LR: 0.000800
Training Epoch: 16 [38400/46250]	Loss: 0.2425	LR: 0.000800
Training Epoch: 16 [38656/46250]	Loss: 0.2164	LR: 0.000800
Training Epoch: 16 [38912/46250]	Loss: 0.2546	LR: 0.000800
Training Epoch: 16 [39168/46250]	Loss: 0.2811	LR: 0.000800
Training Epoch: 16 [39424/46250]	Loss: 0.2537	LR: 0.000800
Training Epoch: 16 [39680/46250]	Loss: 0.2949	LR: 0.000800
Training Epoch: 16 [39936/46250]	Loss: 0.2517	LR: 0.000800
Training Epoch: 16 [40192/46250]	Loss: 0.2838	LR: 0.000800
Training Epoch: 16 [40448/46250]	Loss: 0.2779	LR: 0.000800
Training Epoch: 16 [40704/46250]	Loss: 0.3293	LR: 0.000800
Training Epoch: 16 [40960/46250]	Loss: 0.2993	LR: 0.000800
Training Epoch: 16 [41216/46250]	Loss: 0.2344	LR: 0.000800
Training Epoch: 16 [41472/46250]	Loss: 0.3211	LR: 0.000800
Training Epoch: 16 [41728/46250]	Loss: 0.2822	LR: 0.000800
Training Epoch: 16 [41984/46250]	Loss: 0.3342	LR: 0.000800
Training Epoch: 16 [42240/46250]	Loss: 0.3395	LR: 0.000800
Training Epoch: 16 [42496/46250]	Loss: 0.3654	LR: 0.000800
Training Epoch: 16 [42752/46250]	Loss: 0.2298	LR: 0.000800
Training Epoch: 16 [43008/46250]	Loss: 0.2501	LR: 0.000800
Training Epoch: 16 [43264/46250]	Loss: 0.3234	LR: 0.000800
Training Epoch: 16 [43520/46250]	Loss: 0.2696	LR: 0.000800
Training Epoch: 16 [43776/46250]	Loss: 0.2647	LR: 0.000800
Training Epoch: 16 [44032/46250]	Loss: 0.2262	LR: 0.000800
Training Epoch: 16 [44288/46250]	Loss: 0.3121	LR: 0.000800
Training Epoch: 16 [44544/46250]	Loss: 0.3232	LR: 0.000800
Training Epoch: 16 [44800/46250]	Loss: 0.3021	LR: 0.000800
Training Epoch: 16 [45056/46250]	Loss: 0.3447	LR: 0.000800
Training Epoch: 16 [45312/46250]	Loss: 0.2345	LR: 0.000800
Training Epoch: 16 [45568/46250]	Loss: 0.2637	LR: 0.000800
Training Epoch: 16 [45824/46250]	Loss: 0.2834	LR: 0.000800
Training Epoch: 16 [46080/46250]	Loss: 0.3109	LR: 0.000800
Training Epoch: 16 [46250/46250]	Loss: 0.2402	LR: 0.000800
Epoch 16 - Average Train Loss: 0.2829, Train Accuracy: 0.9004
Epoch 16 training time consumed: 28.19s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0013, Accuracy: 0.8875, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_08h_24m_45s/ResNet18-Cifar10-seed7-ret25-16-best.pth
Training Epoch: 17 [256/46250]	Loss: 0.2661	LR: 0.000800
Training Epoch: 17 [512/46250]	Loss: 0.2324	LR: 0.000800
Training Epoch: 17 [768/46250]	Loss: 0.2472	LR: 0.000800
Training Epoch: 17 [1024/46250]	Loss: 0.2809	LR: 0.000800
Training Epoch: 17 [1280/46250]	Loss: 0.2816	LR: 0.000800
Training Epoch: 17 [1536/46250]	Loss: 0.2548	LR: 0.000800
Training Epoch: 17 [1792/46250]	Loss: 0.2526	LR: 0.000800
Training Epoch: 17 [2048/46250]	Loss: 0.3034	LR: 0.000800
Training Epoch: 17 [2304/46250]	Loss: 0.3097	LR: 0.000800
Training Epoch: 17 [2560/46250]	Loss: 0.2815	LR: 0.000800
Training Epoch: 17 [2816/46250]	Loss: 0.2194	LR: 0.000800
Training Epoch: 17 [3072/46250]	Loss: 0.3190	LR: 0.000800
Training Epoch: 17 [3328/46250]	Loss: 0.2517	LR: 0.000800
Training Epoch: 17 [3584/46250]	Loss: 0.2729	LR: 0.000800
Training Epoch: 17 [3840/46250]	Loss: 0.2415	LR: 0.000800
Training Epoch: 17 [4096/46250]	Loss: 0.3028	LR: 0.000800
Training Epoch: 17 [4352/46250]	Loss: 0.3076	LR: 0.000800
Training Epoch: 17 [4608/46250]	Loss: 0.3369	LR: 0.000800
Training Epoch: 17 [4864/46250]	Loss: 0.3378	LR: 0.000800
Training Epoch: 17 [5120/46250]	Loss: 0.2999	LR: 0.000800
Training Epoch: 17 [5376/46250]	Loss: 0.2977	LR: 0.000800
Training Epoch: 17 [5632/46250]	Loss: 0.2130	LR: 0.000800
Training Epoch: 17 [5888/46250]	Loss: 0.2851	LR: 0.000800
Training Epoch: 17 [6144/46250]	Loss: 0.2335	LR: 0.000800
Training Epoch: 17 [6400/46250]	Loss: 0.3028	LR: 0.000800
Training Epoch: 17 [6656/46250]	Loss: 0.3212	LR: 0.000800
Training Epoch: 17 [6912/46250]	Loss: 0.2580	LR: 0.000800
Training Epoch: 17 [7168/46250]	Loss: 0.2087	LR: 0.000800
Training Epoch: 17 [7424/46250]	Loss: 0.2803	LR: 0.000800
Training Epoch: 17 [7680/46250]	Loss: 0.3980	LR: 0.000800
Training Epoch: 17 [7936/46250]	Loss: 0.3052	LR: 0.000800
Training Epoch: 17 [8192/46250]	Loss: 0.2790	LR: 0.000800
Training Epoch: 17 [8448/46250]	Loss: 0.2635	LR: 0.000800
Training Epoch: 17 [8704/46250]	Loss: 0.2983	LR: 0.000800
Training Epoch: 17 [8960/46250]	Loss: 0.2316	LR: 0.000800
Training Epoch: 17 [9216/46250]	Loss: 0.3367	LR: 0.000800
Training Epoch: 17 [9472/46250]	Loss: 0.2435	LR: 0.000800
Training Epoch: 17 [9728/46250]	Loss: 0.3756	LR: 0.000800
Training Epoch: 17 [9984/46250]	Loss: 0.2229	LR: 0.000800
Training Epoch: 17 [10240/46250]	Loss: 0.2402	LR: 0.000800
Training Epoch: 17 [10496/46250]	Loss: 0.2384	LR: 0.000800
Training Epoch: 17 [10752/46250]	Loss: 0.3538	LR: 0.000800
Training Epoch: 17 [11008/46250]	Loss: 0.2599	LR: 0.000800
Training Epoch: 17 [11264/46250]	Loss: 0.3172	LR: 0.000800
Training Epoch: 17 [11520/46250]	Loss: 0.2574	LR: 0.000800
Training Epoch: 17 [11776/46250]	Loss: 0.3255	LR: 0.000800
Training Epoch: 17 [12032/46250]	Loss: 0.2530	LR: 0.000800
Training Epoch: 17 [12288/46250]	Loss: 0.2883	LR: 0.000800
Training Epoch: 17 [12544/46250]	Loss: 0.2134	LR: 0.000800
Training Epoch: 17 [12800/46250]	Loss: 0.3061	LR: 0.000800
Training Epoch: 17 [13056/46250]	Loss: 0.2277	LR: 0.000800
Training Epoch: 17 [13312/46250]	Loss: 0.2406	LR: 0.000800
Training Epoch: 17 [13568/46250]	Loss: 0.2648	LR: 0.000800
Training Epoch: 17 [13824/46250]	Loss: 0.2728	LR: 0.000800
Training Epoch: 17 [14080/46250]	Loss: 0.3062	LR: 0.000800
Training Epoch: 17 [14336/46250]	Loss: 0.2328	LR: 0.000800
Training Epoch: 17 [14592/46250]	Loss: 0.2808	LR: 0.000800
Training Epoch: 17 [14848/46250]	Loss: 0.2759	LR: 0.000800
Training Epoch: 17 [15104/46250]	Loss: 0.2627	LR: 0.000800
Training Epoch: 17 [15360/46250]	Loss: 0.2866	LR: 0.000800
Training Epoch: 17 [15616/46250]	Loss: 0.2495	LR: 0.000800
Training Epoch: 17 [15872/46250]	Loss: 0.2992	LR: 0.000800
Training Epoch: 17 [16128/46250]	Loss: 0.2148	LR: 0.000800
Training Epoch: 17 [16384/46250]	Loss: 0.2565	LR: 0.000800
Training Epoch: 17 [16640/46250]	Loss: 0.2920	LR: 0.000800
Training Epoch: 17 [16896/46250]	Loss: 0.3104	LR: 0.000800
Training Epoch: 17 [17152/46250]	Loss: 0.2613	LR: 0.000800
Training Epoch: 17 [17408/46250]	Loss: 0.3645	LR: 0.000800
Training Epoch: 17 [17664/46250]	Loss: 0.2598	LR: 0.000800
Training Epoch: 17 [17920/46250]	Loss: 0.2409	LR: 0.000800
Training Epoch: 17 [18176/46250]	Loss: 0.3033	LR: 0.000800
Training Epoch: 17 [18432/46250]	Loss: 0.3037	LR: 0.000800
Training Epoch: 17 [18688/46250]	Loss: 0.3205	LR: 0.000800
Training Epoch: 17 [18944/46250]	Loss: 0.2720	LR: 0.000800
Training Epoch: 17 [19200/46250]	Loss: 0.2844	LR: 0.000800
Training Epoch: 17 [19456/46250]	Loss: 0.3707	LR: 0.000800
Training Epoch: 17 [19712/46250]	Loss: 0.2420	LR: 0.000800
Training Epoch: 17 [19968/46250]	Loss: 0.2550	LR: 0.000800
Training Epoch: 17 [20224/46250]	Loss: 0.2836	LR: 0.000800
Training Epoch: 17 [20480/46250]	Loss: 0.3238	LR: 0.000800
Training Epoch: 17 [20736/46250]	Loss: 0.2493	LR: 0.000800
Training Epoch: 17 [20992/46250]	Loss: 0.2749	LR: 0.000800
Training Epoch: 17 [21248/46250]	Loss: 0.3469	LR: 0.000800
Training Epoch: 17 [21504/46250]	Loss: 0.3049	LR: 0.000800
Training Epoch: 17 [21760/46250]	Loss: 0.3274	LR: 0.000800
Training Epoch: 17 [22016/46250]	Loss: 0.3207	LR: 0.000800
Training Epoch: 17 [22272/46250]	Loss: 0.1993	LR: 0.000800
Training Epoch: 17 [22528/46250]	Loss: 0.3225	LR: 0.000800
Training Epoch: 17 [22784/46250]	Loss: 0.3048	LR: 0.000800
Training Epoch: 17 [23040/46250]	Loss: 0.3501	LR: 0.000800
Training Epoch: 17 [23296/46250]	Loss: 0.2804	LR: 0.000800
Training Epoch: 17 [23552/46250]	Loss: 0.4156	LR: 0.000800
Training Epoch: 17 [23808/46250]	Loss: 0.3433	LR: 0.000800
Training Epoch: 17 [24064/46250]	Loss: 0.2958	LR: 0.000800
Training Epoch: 17 [24320/46250]	Loss: 0.3014	LR: 0.000800
Training Epoch: 17 [24576/46250]	Loss: 0.2206	LR: 0.000800
Training Epoch: 17 [24832/46250]	Loss: 0.2945	LR: 0.000800
Training Epoch: 17 [25088/46250]	Loss: 0.2588	LR: 0.000800
Training Epoch: 17 [25344/46250]	Loss: 0.2853	LR: 0.000800
Training Epoch: 17 [25600/46250]	Loss: 0.3039	LR: 0.000800
Training Epoch: 17 [25856/46250]	Loss: 0.3132	LR: 0.000800
Training Epoch: 17 [26112/46250]	Loss: 0.2289	LR: 0.000800
Training Epoch: 17 [26368/46250]	Loss: 0.2395	LR: 0.000800
Training Epoch: 17 [26624/46250]	Loss: 0.2719	LR: 0.000800
Training Epoch: 17 [26880/46250]	Loss: 0.2674	LR: 0.000800
Training Epoch: 17 [27136/46250]	Loss: 0.2368	LR: 0.000800
Training Epoch: 17 [27392/46250]	Loss: 0.2451	LR: 0.000800
Training Epoch: 17 [27648/46250]	Loss: 0.3368	LR: 0.000800
Training Epoch: 17 [27904/46250]	Loss: 0.2980	LR: 0.000800
Training Epoch: 17 [28160/46250]	Loss: 0.2612	LR: 0.000800
Training Epoch: 17 [28416/46250]	Loss: 0.2831	LR: 0.000800
Training Epoch: 17 [28672/46250]	Loss: 0.2133	LR: 0.000800
Training Epoch: 17 [28928/46250]	Loss: 0.2439	LR: 0.000800
Training Epoch: 17 [29184/46250]	Loss: 0.3804	LR: 0.000800
Training Epoch: 17 [29440/46250]	Loss: 0.2232	LR: 0.000800
Training Epoch: 17 [29696/46250]	Loss: 0.2850	LR: 0.000800
Training Epoch: 17 [29952/46250]	Loss: 0.2902	LR: 0.000800
Training Epoch: 17 [30208/46250]	Loss: 0.2429	LR: 0.000800
Training Epoch: 17 [30464/46250]	Loss: 0.2698	LR: 0.000800
Training Epoch: 17 [30720/46250]	Loss: 0.2546	LR: 0.000800
Training Epoch: 17 [30976/46250]	Loss: 0.2540	LR: 0.000800
Training Epoch: 17 [31232/46250]	Loss: 0.2754	LR: 0.000800
Training Epoch: 17 [31488/46250]	Loss: 0.2921	LR: 0.000800
Training Epoch: 17 [31744/46250]	Loss: 0.2234	LR: 0.000800
Training Epoch: 17 [32000/46250]	Loss: 0.3951	LR: 0.000800
Training Epoch: 17 [32256/46250]	Loss: 0.2514	LR: 0.000800
Training Epoch: 17 [32512/46250]	Loss: 0.3225	LR: 0.000800
Training Epoch: 17 [32768/46250]	Loss: 0.2846	LR: 0.000800
Training Epoch: 17 [33024/46250]	Loss: 0.3271	LR: 0.000800
Training Epoch: 17 [33280/46250]	Loss: 0.3359	LR: 0.000800
Training Epoch: 17 [33536/46250]	Loss: 0.3022	LR: 0.000800
Training Epoch: 17 [33792/46250]	Loss: 0.2542	LR: 0.000800
Training Epoch: 17 [34048/46250]	Loss: 0.3126	LR: 0.000800
Training Epoch: 17 [34304/46250]	Loss: 0.2467	LR: 0.000800
Training Epoch: 17 [34560/46250]	Loss: 0.2342	LR: 0.000800
Training Epoch: 17 [34816/46250]	Loss: 0.3338	LR: 0.000800
Training Epoch: 17 [35072/46250]	Loss: 0.3217	LR: 0.000800
Training Epoch: 17 [35328/46250]	Loss: 0.2981	LR: 0.000800
Training Epoch: 17 [35584/46250]	Loss: 0.2745	LR: 0.000800
Training Epoch: 17 [35840/46250]	Loss: 0.2898	LR: 0.000800
Training Epoch: 17 [36096/46250]	Loss: 0.2792	LR: 0.000800
Training Epoch: 17 [36352/46250]	Loss: 0.2308	LR: 0.000800
Training Epoch: 17 [36608/46250]	Loss: 0.3087	LR: 0.000800
Training Epoch: 17 [36864/46250]	Loss: 0.2954	LR: 0.000800
Training Epoch: 17 [37120/46250]	Loss: 0.2818	LR: 0.000800
Training Epoch: 17 [37376/46250]	Loss: 0.2693	LR: 0.000800
Training Epoch: 17 [37632/46250]	Loss: 0.2758	LR: 0.000800
Training Epoch: 17 [37888/46250]	Loss: 0.2607	LR: 0.000800
Training Epoch: 17 [38144/46250]	Loss: 0.2583	LR: 0.000800
Training Epoch: 17 [38400/46250]	Loss: 0.3045	LR: 0.000800
Training Epoch: 17 [38656/46250]	Loss: 0.2548	LR: 0.000800
Training Epoch: 17 [38912/46250]	Loss: 0.2646	LR: 0.000800
Training Epoch: 17 [39168/46250]	Loss: 0.3014	LR: 0.000800
Training Epoch: 17 [39424/46250]	Loss: 0.2539	LR: 0.000800
Training Epoch: 17 [39680/46250]	Loss: 0.2511	LR: 0.000800
Training Epoch: 17 [39936/46250]	Loss: 0.2901	LR: 0.000800
Training Epoch: 17 [40192/46250]	Loss: 0.3191	LR: 0.000800
Training Epoch: 17 [40448/46250]	Loss: 0.1971	LR: 0.000800
Training Epoch: 17 [40704/46250]	Loss: 0.2455	LR: 0.000800
Training Epoch: 17 [40960/46250]	Loss: 0.2118	LR: 0.000800
Training Epoch: 17 [41216/46250]	Loss: 0.3424	LR: 0.000800
Training Epoch: 17 [41472/46250]	Loss: 0.2270	LR: 0.000800
Training Epoch: 17 [41728/46250]	Loss: 0.2481	LR: 0.000800
Training Epoch: 17 [41984/46250]	Loss: 0.2727	LR: 0.000800
Training Epoch: 17 [42240/46250]	Loss: 0.2287	LR: 0.000800
Training Epoch: 17 [42496/46250]	Loss: 0.3157	LR: 0.000800
Training Epoch: 17 [42752/46250]	Loss: 0.3157	LR: 0.000800
Training Epoch: 17 [43008/46250]	Loss: 0.3150	LR: 0.000800
Training Epoch: 17 [43264/46250]	Loss: 0.2378	LR: 0.000800
Training Epoch: 17 [43520/46250]	Loss: 0.2766	LR: 0.000800
Training Epoch: 17 [43776/46250]	Loss: 0.2963	LR: 0.000800
Training Epoch: 17 [44032/46250]	Loss: 0.3105	LR: 0.000800
Training Epoch: 17 [44288/46250]	Loss: 0.2727	LR: 0.000800
Training Epoch: 17 [44544/46250]	Loss: 0.2141	LR: 0.000800
Training Epoch: 17 [44800/46250]	Loss: 0.2926	LR: 0.000800
Training Epoch: 17 [45056/46250]	Loss: 0.2928	LR: 0.000800
Training Epoch: 17 [45312/46250]	Loss: 0.3031	LR: 0.000800
Training Epoch: 17 [45568/46250]	Loss: 0.3568	LR: 0.000800
Training Epoch: 17 [45824/46250]	Loss: 0.2258	LR: 0.000800
Training Epoch: 17 [46080/46250]	Loss: 0.2986	LR: 0.000800
Training Epoch: 17 [46250/46250]	Loss: 0.2595	LR: 0.000800
Epoch 17 - Average Train Loss: 0.2809, Train Accuracy: 0.9030
Epoch 17 training time consumed: 28.03s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0013, Accuracy: 0.8870, Time consumed:0.96s
Training Epoch: 18 [256/46250]	Loss: 0.2965	LR: 0.000800
Training Epoch: 18 [512/46250]	Loss: 0.2334	LR: 0.000800
Training Epoch: 18 [768/46250]	Loss: 0.1912	LR: 0.000800
Training Epoch: 18 [1024/46250]	Loss: 0.3099	LR: 0.000800
Training Epoch: 18 [1280/46250]	Loss: 0.2737	LR: 0.000800
Training Epoch: 18 [1536/46250]	Loss: 0.2108	LR: 0.000800
Training Epoch: 18 [1792/46250]	Loss: 0.2643	LR: 0.000800
Training Epoch: 18 [2048/46250]	Loss: 0.3027	LR: 0.000800
Training Epoch: 18 [2304/46250]	Loss: 0.3426	LR: 0.000800
Training Epoch: 18 [2560/46250]	Loss: 0.2069	LR: 0.000800
Training Epoch: 18 [2816/46250]	Loss: 0.3859	LR: 0.000800
Training Epoch: 18 [3072/46250]	Loss: 0.2601	LR: 0.000800
Training Epoch: 18 [3328/46250]	Loss: 0.3531	LR: 0.000800
Training Epoch: 18 [3584/46250]	Loss: 0.2342	LR: 0.000800
Training Epoch: 18 [3840/46250]	Loss: 0.2857	LR: 0.000800
Training Epoch: 18 [4096/46250]	Loss: 0.3219	LR: 0.000800
Training Epoch: 18 [4352/46250]	Loss: 0.2410	LR: 0.000800
Training Epoch: 18 [4608/46250]	Loss: 0.3780	LR: 0.000800
Training Epoch: 18 [4864/46250]	Loss: 0.2529	LR: 0.000800
Training Epoch: 18 [5120/46250]	Loss: 0.2094	LR: 0.000800
Training Epoch: 18 [5376/46250]	Loss: 0.3128	LR: 0.000800
Training Epoch: 18 [5632/46250]	Loss: 0.2884	LR: 0.000800
Training Epoch: 18 [5888/46250]	Loss: 0.2625	LR: 0.000800
Training Epoch: 18 [6144/46250]	Loss: 0.2622	LR: 0.000800
Training Epoch: 18 [6400/46250]	Loss: 0.2959	LR: 0.000800
Training Epoch: 18 [6656/46250]	Loss: 0.2283	LR: 0.000800
Training Epoch: 18 [6912/46250]	Loss: 0.3392	LR: 0.000800
Training Epoch: 18 [7168/46250]	Loss: 0.2938	LR: 0.000800
Training Epoch: 18 [7424/46250]	Loss: 0.2554	LR: 0.000800
Training Epoch: 18 [7680/46250]	Loss: 0.3024	LR: 0.000800
Training Epoch: 18 [7936/46250]	Loss: 0.2649	LR: 0.000800
Training Epoch: 18 [8192/46250]	Loss: 0.2228	LR: 0.000800
Training Epoch: 18 [8448/46250]	Loss: 0.2818	LR: 0.000800
Training Epoch: 18 [8704/46250]	Loss: 0.2547	LR: 0.000800
Training Epoch: 18 [8960/46250]	Loss: 0.1671	LR: 0.000800
Training Epoch: 18 [9216/46250]	Loss: 0.3286	LR: 0.000800
Training Epoch: 18 [9472/46250]	Loss: 0.3173	LR: 0.000800
Training Epoch: 18 [9728/46250]	Loss: 0.3085	LR: 0.000800
Training Epoch: 18 [9984/46250]	Loss: 0.2640	LR: 0.000800
Training Epoch: 18 [10240/46250]	Loss: 0.2525	LR: 0.000800
Training Epoch: 18 [10496/46250]	Loss: 0.2770	LR: 0.000800
Training Epoch: 18 [10752/46250]	Loss: 0.3141	LR: 0.000800
Training Epoch: 18 [11008/46250]	Loss: 0.2786	LR: 0.000800
Training Epoch: 18 [11264/46250]	Loss: 0.3014	LR: 0.000800
Training Epoch: 18 [11520/46250]	Loss: 0.3524	LR: 0.000800
Training Epoch: 18 [11776/46250]	Loss: 0.2554	LR: 0.000800
Training Epoch: 18 [12032/46250]	Loss: 0.2414	LR: 0.000800
Training Epoch: 18 [12288/46250]	Loss: 0.2496	LR: 0.000800
Training Epoch: 18 [12544/46250]	Loss: 0.2497	LR: 0.000800
Training Epoch: 18 [12800/46250]	Loss: 0.3253	LR: 0.000800
Training Epoch: 18 [13056/46250]	Loss: 0.1868	LR: 0.000800
Training Epoch: 18 [13312/46250]	Loss: 0.2621	LR: 0.000800
Training Epoch: 18 [13568/46250]	Loss: 0.2528	LR: 0.000800
Training Epoch: 18 [13824/46250]	Loss: 0.3401	LR: 0.000800
Training Epoch: 18 [14080/46250]	Loss: 0.3221	LR: 0.000800
Training Epoch: 18 [14336/46250]	Loss: 0.2104	LR: 0.000800
Training Epoch: 18 [14592/46250]	Loss: 0.2878	LR: 0.000800
Training Epoch: 18 [14848/46250]	Loss: 0.2671	LR: 0.000800
Training Epoch: 18 [15104/46250]	Loss: 0.2506	LR: 0.000800
Training Epoch: 18 [15360/46250]	Loss: 0.3027	LR: 0.000800
Training Epoch: 18 [15616/46250]	Loss: 0.3243	LR: 0.000800
Training Epoch: 18 [15872/46250]	Loss: 0.3132	LR: 0.000800
Training Epoch: 18 [16128/46250]	Loss: 0.2601	LR: 0.000800
Training Epoch: 18 [16384/46250]	Loss: 0.2797	LR: 0.000800
Training Epoch: 18 [16640/46250]	Loss: 0.1969	LR: 0.000800
Training Epoch: 18 [16896/46250]	Loss: 0.2693	LR: 0.000800
Training Epoch: 18 [17152/46250]	Loss: 0.3160	LR: 0.000800
Training Epoch: 18 [17408/46250]	Loss: 0.2369	LR: 0.000800
Training Epoch: 18 [17664/46250]	Loss: 0.2729	LR: 0.000800
Training Epoch: 18 [17920/46250]	Loss: 0.3442	LR: 0.000800
Training Epoch: 18 [18176/46250]	Loss: 0.2489	LR: 0.000800
Training Epoch: 18 [18432/46250]	Loss: 0.2889	LR: 0.000800
Training Epoch: 18 [18688/46250]	Loss: 0.2580	LR: 0.000800
Training Epoch: 18 [18944/46250]	Loss: 0.3300	LR: 0.000800
Training Epoch: 18 [19200/46250]	Loss: 0.2472	LR: 0.000800
Training Epoch: 18 [19456/46250]	Loss: 0.3014	LR: 0.000800
Training Epoch: 18 [19712/46250]	Loss: 0.2507	LR: 0.000800
Training Epoch: 18 [19968/46250]	Loss: 0.2779	LR: 0.000800
Training Epoch: 18 [20224/46250]	Loss: 0.3658	LR: 0.000800
Training Epoch: 18 [20480/46250]	Loss: 0.2597	LR: 0.000800
Training Epoch: 18 [20736/46250]	Loss: 0.2795	LR: 0.000800
Training Epoch: 18 [20992/46250]	Loss: 0.2953	LR: 0.000800
Training Epoch: 18 [21248/46250]	Loss: 0.2388	LR: 0.000800
Training Epoch: 18 [21504/46250]	Loss: 0.2453	LR: 0.000800
Training Epoch: 18 [21760/46250]	Loss: 0.2273	LR: 0.000800
Training Epoch: 18 [22016/46250]	Loss: 0.2271	LR: 0.000800
Training Epoch: 18 [22272/46250]	Loss: 0.2398	LR: 0.000800
Training Epoch: 18 [22528/46250]	Loss: 0.2735	LR: 0.000800
Training Epoch: 18 [22784/46250]	Loss: 0.2527	LR: 0.000800
Training Epoch: 18 [23040/46250]	Loss: 0.2584	LR: 0.000800
Training Epoch: 18 [23296/46250]	Loss: 0.2211	LR: 0.000800
Training Epoch: 18 [23552/46250]	Loss: 0.3020	LR: 0.000800
Training Epoch: 18 [23808/46250]	Loss: 0.3299	LR: 0.000800
Training Epoch: 18 [24064/46250]	Loss: 0.2986	LR: 0.000800
Training Epoch: 18 [24320/46250]	Loss: 0.3310	LR: 0.000800
Training Epoch: 18 [24576/46250]	Loss: 0.2013	LR: 0.000800
Training Epoch: 18 [24832/46250]	Loss: 0.3197	LR: 0.000800
Training Epoch: 18 [25088/46250]	Loss: 0.2915	LR: 0.000800
Training Epoch: 18 [25344/46250]	Loss: 0.2998	LR: 0.000800
Training Epoch: 18 [25600/46250]	Loss: 0.3173	LR: 0.000800
Training Epoch: 18 [25856/46250]	Loss: 0.3526	LR: 0.000800
Training Epoch: 18 [26112/46250]	Loss: 0.2383	LR: 0.000800
Training Epoch: 18 [26368/46250]	Loss: 0.2527	LR: 0.000800
Training Epoch: 18 [26624/46250]	Loss: 0.3238	LR: 0.000800
Training Epoch: 18 [26880/46250]	Loss: 0.2606	LR: 0.000800
Training Epoch: 18 [27136/46250]	Loss: 0.2368	LR: 0.000800
Training Epoch: 18 [27392/46250]	Loss: 0.2945	LR: 0.000800
Training Epoch: 18 [27648/46250]	Loss: 0.3342	LR: 0.000800
Training Epoch: 18 [27904/46250]	Loss: 0.2532	LR: 0.000800
Training Epoch: 18 [28160/46250]	Loss: 0.2389	LR: 0.000800
Training Epoch: 18 [28416/46250]	Loss: 0.4039	LR: 0.000800
Training Epoch: 18 [28672/46250]	Loss: 0.2915	LR: 0.000800
Training Epoch: 18 [28928/46250]	Loss: 0.3252	LR: 0.000800
Training Epoch: 18 [29184/46250]	Loss: 0.3184	LR: 0.000800
Training Epoch: 18 [29440/46250]	Loss: 0.2947	LR: 0.000800
Training Epoch: 18 [29696/46250]	Loss: 0.2290	LR: 0.000800
Training Epoch: 18 [29952/46250]	Loss: 0.2705	LR: 0.000800
Training Epoch: 18 [30208/46250]	Loss: 0.2068	LR: 0.000800
Training Epoch: 18 [30464/46250]	Loss: 0.2891	LR: 0.000800
Training Epoch: 18 [30720/46250]	Loss: 0.2609	LR: 0.000800
Training Epoch: 18 [30976/46250]	Loss: 0.2427	LR: 0.000800
Training Epoch: 18 [31232/46250]	Loss: 0.2307	LR: 0.000800
Training Epoch: 18 [31488/46250]	Loss: 0.2638	LR: 0.000800
Training Epoch: 18 [31744/46250]	Loss: 0.2540	LR: 0.000800
Training Epoch: 18 [32000/46250]	Loss: 0.2054	LR: 0.000800
Training Epoch: 18 [32256/46250]	Loss: 0.3303	LR: 0.000800
Training Epoch: 18 [32512/46250]	Loss: 0.2705	LR: 0.000800
Training Epoch: 18 [32768/46250]	Loss: 0.2676	LR: 0.000800
Training Epoch: 18 [33024/46250]	Loss: 0.3291	LR: 0.000800
Training Epoch: 18 [33280/46250]	Loss: 0.2043	LR: 0.000800
Training Epoch: 18 [33536/46250]	Loss: 0.2425	LR: 0.000800
Training Epoch: 18 [33792/46250]	Loss: 0.2372	LR: 0.000800
Training Epoch: 18 [34048/46250]	Loss: 0.3058	LR: 0.000800
Training Epoch: 18 [34304/46250]	Loss: 0.2325	LR: 0.000800
Training Epoch: 18 [34560/46250]	Loss: 0.2670	LR: 0.000800
Training Epoch: 18 [34816/46250]	Loss: 0.2584	LR: 0.000800
Training Epoch: 18 [35072/46250]	Loss: 0.3667	LR: 0.000800
Training Epoch: 18 [35328/46250]	Loss: 0.3091	LR: 0.000800
Training Epoch: 18 [35584/46250]	Loss: 0.1780	LR: 0.000800
Training Epoch: 18 [35840/46250]	Loss: 0.2586	LR: 0.000800
Training Epoch: 18 [36096/46250]	Loss: 0.2707	LR: 0.000800
Training Epoch: 18 [36352/46250]	Loss: 0.3045	LR: 0.000800
Training Epoch: 18 [36608/46250]	Loss: 0.2882	LR: 0.000800
Training Epoch: 18 [36864/46250]	Loss: 0.3086	LR: 0.000800
Training Epoch: 18 [37120/46250]	Loss: 0.2795	LR: 0.000800
Training Epoch: 18 [37376/46250]	Loss: 0.2444	LR: 0.000800
Training Epoch: 18 [37632/46250]	Loss: 0.3238	LR: 0.000800
Training Epoch: 18 [37888/46250]	Loss: 0.3317	LR: 0.000800
Training Epoch: 18 [38144/46250]	Loss: 0.2666	LR: 0.000800
Training Epoch: 18 [38400/46250]	Loss: 0.3187	LR: 0.000800
Training Epoch: 18 [38656/46250]	Loss: 0.2804	LR: 0.000800
Training Epoch: 18 [38912/46250]	Loss: 0.2561	LR: 0.000800
Training Epoch: 18 [39168/46250]	Loss: 0.2961	LR: 0.000800
Training Epoch: 18 [39424/46250]	Loss: 0.2843	LR: 0.000800
Training Epoch: 18 [39680/46250]	Loss: 0.1950	LR: 0.000800
Training Epoch: 18 [39936/46250]	Loss: 0.2590	LR: 0.000800
Training Epoch: 18 [40192/46250]	Loss: 0.2886	LR: 0.000800
Training Epoch: 18 [40448/46250]	Loss: 0.2748	LR: 0.000800
Training Epoch: 18 [40704/46250]	Loss: 0.2364	LR: 0.000800
Training Epoch: 18 [40960/46250]	Loss: 0.2886	LR: 0.000800
Training Epoch: 18 [41216/46250]	Loss: 0.3059	LR: 0.000800
Training Epoch: 18 [41472/46250]	Loss: 0.2644	LR: 0.000800
Training Epoch: 18 [41728/46250]	Loss: 0.2265	LR: 0.000800
Training Epoch: 18 [41984/46250]	Loss: 0.1802	LR: 0.000800
Training Epoch: 18 [42240/46250]	Loss: 0.2621	LR: 0.000800
Training Epoch: 18 [42496/46250]	Loss: 0.2662	LR: 0.000800
Training Epoch: 18 [42752/46250]	Loss: 0.2516	LR: 0.000800
Training Epoch: 18 [43008/46250]	Loss: 0.3182	LR: 0.000800
Training Epoch: 18 [43264/46250]	Loss: 0.2242	LR: 0.000800
Training Epoch: 18 [43520/46250]	Loss: 0.3209	LR: 0.000800
Training Epoch: 18 [43776/46250]	Loss: 0.2507	LR: 0.000800
Training Epoch: 18 [44032/46250]	Loss: 0.2349	LR: 0.000800
Training Epoch: 18 [44288/46250]	Loss: 0.2285	LR: 0.000800
Training Epoch: 18 [44544/46250]	Loss: 0.2333	LR: 0.000800
Training Epoch: 18 [44800/46250]	Loss: 0.2930	LR: 0.000800
Training Epoch: 18 [45056/46250]	Loss: 0.2934	LR: 0.000800
Training Epoch: 18 [45312/46250]	Loss: 0.2801	LR: 0.000800
Training Epoch: 18 [45568/46250]	Loss: 0.2599	LR: 0.000800
Training Epoch: 18 [45824/46250]	Loss: 0.2496	LR: 0.000800
Training Epoch: 18 [46080/46250]	Loss: 0.2207	LR: 0.000800
Training Epoch: 18 [46250/46250]	Loss: 0.3056	LR: 0.000800
Epoch 18 - Average Train Loss: 0.2744, Train Accuracy: 0.9047
Epoch 18 training time consumed: 28.12s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0013, Accuracy: 0.8872, Time consumed:0.94s
Training Epoch: 19 [256/46250]	Loss: 0.2606	LR: 0.000800
Training Epoch: 19 [512/46250]	Loss: 0.2865	LR: 0.000800
Training Epoch: 19 [768/46250]	Loss: 0.2385	LR: 0.000800
Training Epoch: 19 [1024/46250]	Loss: 0.3877	LR: 0.000800
Training Epoch: 19 [1280/46250]	Loss: 0.2678	LR: 0.000800
Training Epoch: 19 [1536/46250]	Loss: 0.2559	LR: 0.000800
Training Epoch: 19 [1792/46250]	Loss: 0.3386	LR: 0.000800
Training Epoch: 19 [2048/46250]	Loss: 0.3071	LR: 0.000800
Training Epoch: 19 [2304/46250]	Loss: 0.3853	LR: 0.000800
Training Epoch: 19 [2560/46250]	Loss: 0.2415	LR: 0.000800
Training Epoch: 19 [2816/46250]	Loss: 0.3648	LR: 0.000800
Training Epoch: 19 [3072/46250]	Loss: 0.3255	LR: 0.000800
Training Epoch: 19 [3328/46250]	Loss: 0.3168	LR: 0.000800
Training Epoch: 19 [3584/46250]	Loss: 0.2811	LR: 0.000800
Training Epoch: 19 [3840/46250]	Loss: 0.3206	LR: 0.000800
Training Epoch: 19 [4096/46250]	Loss: 0.2762	LR: 0.000800
Training Epoch: 19 [4352/46250]	Loss: 0.2500	LR: 0.000800
Training Epoch: 19 [4608/46250]	Loss: 0.2565	LR: 0.000800
Training Epoch: 19 [4864/46250]	Loss: 0.2938	LR: 0.000800
Training Epoch: 19 [5120/46250]	Loss: 0.2861	LR: 0.000800
Training Epoch: 19 [5376/46250]	Loss: 0.3141	LR: 0.000800
Training Epoch: 19 [5632/46250]	Loss: 0.2323	LR: 0.000800
Training Epoch: 19 [5888/46250]	Loss: 0.3321	LR: 0.000800
Training Epoch: 19 [6144/46250]	Loss: 0.2692	LR: 0.000800
Training Epoch: 19 [6400/46250]	Loss: 0.2247	LR: 0.000800
Training Epoch: 19 [6656/46250]	Loss: 0.2335	LR: 0.000800
Training Epoch: 19 [6912/46250]	Loss: 0.2081	LR: 0.000800
Training Epoch: 19 [7168/46250]	Loss: 0.3093	LR: 0.000800
Training Epoch: 19 [7424/46250]	Loss: 0.2003	LR: 0.000800
Training Epoch: 19 [7680/46250]	Loss: 0.2776	LR: 0.000800
Training Epoch: 19 [7936/46250]	Loss: 0.2506	LR: 0.000800
Training Epoch: 19 [8192/46250]	Loss: 0.3100	LR: 0.000800
Training Epoch: 19 [8448/46250]	Loss: 0.3068	LR: 0.000800
Training Epoch: 19 [8704/46250]	Loss: 0.2381	LR: 0.000800
Training Epoch: 19 [8960/46250]	Loss: 0.2740	LR: 0.000800
Training Epoch: 19 [9216/46250]	Loss: 0.3152	LR: 0.000800
Training Epoch: 19 [9472/46250]	Loss: 0.2570	LR: 0.000800
Training Epoch: 19 [9728/46250]	Loss: 0.2661	LR: 0.000800
Training Epoch: 19 [9984/46250]	Loss: 0.2615	LR: 0.000800
Training Epoch: 19 [10240/46250]	Loss: 0.3056	LR: 0.000800
Training Epoch: 19 [10496/46250]	Loss: 0.2204	LR: 0.000800
Training Epoch: 19 [10752/46250]	Loss: 0.2539	LR: 0.000800
Training Epoch: 19 [11008/46250]	Loss: 0.2880	LR: 0.000800
Training Epoch: 19 [11264/46250]	Loss: 0.2890	LR: 0.000800
Training Epoch: 19 [11520/46250]	Loss: 0.3131	LR: 0.000800
Training Epoch: 19 [11776/46250]	Loss: 0.2921	LR: 0.000800
Training Epoch: 19 [12032/46250]	Loss: 0.2643	LR: 0.000800
Training Epoch: 19 [12288/46250]	Loss: 0.2317	LR: 0.000800
Training Epoch: 19 [12544/46250]	Loss: 0.2849	LR: 0.000800
Training Epoch: 19 [12800/46250]	Loss: 0.3153	LR: 0.000800
Training Epoch: 19 [13056/46250]	Loss: 0.2159	LR: 0.000800
Training Epoch: 19 [13312/46250]	Loss: 0.2842	LR: 0.000800
Training Epoch: 19 [13568/46250]	Loss: 0.2268	LR: 0.000800
Training Epoch: 19 [13824/46250]	Loss: 0.2015	LR: 0.000800
Training Epoch: 19 [14080/46250]	Loss: 0.2839	LR: 0.000800
Training Epoch: 19 [14336/46250]	Loss: 0.2069	LR: 0.000800
Training Epoch: 19 [14592/46250]	Loss: 0.2258	LR: 0.000800
Training Epoch: 19 [14848/46250]	Loss: 0.2780	LR: 0.000800
Training Epoch: 19 [15104/46250]	Loss: 0.2924	LR: 0.000800
Training Epoch: 19 [15360/46250]	Loss: 0.2882	LR: 0.000800
Training Epoch: 19 [15616/46250]	Loss: 0.2271	LR: 0.000800
Training Epoch: 19 [15872/46250]	Loss: 0.2379	LR: 0.000800
Training Epoch: 19 [16128/46250]	Loss: 0.2581	LR: 0.000800
Training Epoch: 19 [16384/46250]	Loss: 0.2892	LR: 0.000800
Training Epoch: 19 [16640/46250]	Loss: 0.3217	LR: 0.000800
Training Epoch: 19 [16896/46250]	Loss: 0.2556	LR: 0.000800
Training Epoch: 19 [17152/46250]	Loss: 0.3398	LR: 0.000800
Training Epoch: 19 [17408/46250]	Loss: 0.1852	LR: 0.000800
Training Epoch: 19 [17664/46250]	Loss: 0.3124	LR: 0.000800
Training Epoch: 19 [17920/46250]	Loss: 0.1830	LR: 0.000800
Training Epoch: 19 [18176/46250]	Loss: 0.2698	LR: 0.000800
Training Epoch: 19 [18432/46250]	Loss: 0.3252	LR: 0.000800
Training Epoch: 19 [18688/46250]	Loss: 0.2893	LR: 0.000800
Training Epoch: 19 [18944/46250]	Loss: 0.2381	LR: 0.000800
Training Epoch: 19 [19200/46250]	Loss: 0.2626	LR: 0.000800
Training Epoch: 19 [19456/46250]	Loss: 0.3141	LR: 0.000800
Training Epoch: 19 [19712/46250]	Loss: 0.2732	LR: 0.000800
Training Epoch: 19 [19968/46250]	Loss: 0.3272	LR: 0.000800
Training Epoch: 19 [20224/46250]	Loss: 0.2586	LR: 0.000800
Training Epoch: 19 [20480/46250]	Loss: 0.3428	LR: 0.000800
Training Epoch: 19 [20736/46250]	Loss: 0.2045	LR: 0.000800
Training Epoch: 19 [20992/46250]	Loss: 0.2900	LR: 0.000800
Training Epoch: 19 [21248/46250]	Loss: 0.3139	LR: 0.000800
Training Epoch: 19 [21504/46250]	Loss: 0.2769	LR: 0.000800
Training Epoch: 19 [21760/46250]	Loss: 0.2817	LR: 0.000800
Training Epoch: 19 [22016/46250]	Loss: 0.2027	LR: 0.000800
Training Epoch: 19 [22272/46250]	Loss: 0.2338	LR: 0.000800
Training Epoch: 19 [22528/46250]	Loss: 0.3665	LR: 0.000800
Training Epoch: 19 [22784/46250]	Loss: 0.2310	LR: 0.000800
Training Epoch: 19 [23040/46250]	Loss: 0.2186	LR: 0.000800
Training Epoch: 19 [23296/46250]	Loss: 0.2943	LR: 0.000800
Training Epoch: 19 [23552/46250]	Loss: 0.3297	LR: 0.000800
Training Epoch: 19 [23808/46250]	Loss: 0.2884	LR: 0.000800
Training Epoch: 19 [24064/46250]	Loss: 0.2513	LR: 0.000800
Training Epoch: 19 [24320/46250]	Loss: 0.3036	LR: 0.000800
Training Epoch: 19 [24576/46250]	Loss: 0.1780	LR: 0.000800
Training Epoch: 19 [24832/46250]	Loss: 0.3009	LR: 0.000800
Training Epoch: 19 [25088/46250]	Loss: 0.3512	LR: 0.000800
Training Epoch: 19 [25344/46250]	Loss: 0.3018	LR: 0.000800
Training Epoch: 19 [25600/46250]	Loss: 0.2840	LR: 0.000800
Training Epoch: 19 [25856/46250]	Loss: 0.2840	LR: 0.000800
Training Epoch: 19 [26112/46250]	Loss: 0.2496	LR: 0.000800
Training Epoch: 19 [26368/46250]	Loss: 0.2597	LR: 0.000800
Training Epoch: 19 [26624/46250]	Loss: 0.3193	LR: 0.000800
Training Epoch: 19 [26880/46250]	Loss: 0.3308	LR: 0.000800
Training Epoch: 19 [27136/46250]	Loss: 0.2766	LR: 0.000800
Training Epoch: 19 [27392/46250]	Loss: 0.3213	LR: 0.000800
Training Epoch: 19 [27648/46250]	Loss: 0.2424	LR: 0.000800
Training Epoch: 19 [27904/46250]	Loss: 0.1966	LR: 0.000800
Training Epoch: 19 [28160/46250]	Loss: 0.2648	LR: 0.000800
Training Epoch: 19 [28416/46250]	Loss: 0.2641	LR: 0.000800
Training Epoch: 19 [28672/46250]	Loss: 0.2813	LR: 0.000800
Training Epoch: 19 [28928/46250]	Loss: 0.2725	LR: 0.000800
Training Epoch: 19 [29184/46250]	Loss: 0.2472	LR: 0.000800
Training Epoch: 19 [29440/46250]	Loss: 0.2765	LR: 0.000800
Training Epoch: 19 [29696/46250]	Loss: 0.3290	LR: 0.000800
Training Epoch: 19 [29952/46250]	Loss: 0.2936	LR: 0.000800
Training Epoch: 19 [30208/46250]	Loss: 0.2564	LR: 0.000800
Training Epoch: 19 [30464/46250]	Loss: 0.2673	LR: 0.000800
Training Epoch: 19 [30720/46250]	Loss: 0.2449	LR: 0.000800
Training Epoch: 19 [30976/46250]	Loss: 0.3677	LR: 0.000800
Training Epoch: 19 [31232/46250]	Loss: 0.2909	LR: 0.000800
Training Epoch: 19 [31488/46250]	Loss: 0.2315	LR: 0.000800
Training Epoch: 19 [31744/46250]	Loss: 0.2726	LR: 0.000800
Training Epoch: 19 [32000/46250]	Loss: 0.2659	LR: 0.000800
Training Epoch: 19 [32256/46250]	Loss: 0.3634	LR: 0.000800
Training Epoch: 19 [32512/46250]	Loss: 0.3256	LR: 0.000800
Training Epoch: 19 [32768/46250]	Loss: 0.2531	LR: 0.000800
Training Epoch: 19 [33024/46250]	Loss: 0.3208	LR: 0.000800
Training Epoch: 19 [33280/46250]	Loss: 0.2656	LR: 0.000800
Training Epoch: 19 [33536/46250]	Loss: 0.2971	LR: 0.000800
Training Epoch: 19 [33792/46250]	Loss: 0.2770	LR: 0.000800
Training Epoch: 19 [34048/46250]	Loss: 0.3338	LR: 0.000800
Training Epoch: 19 [34304/46250]	Loss: 0.2333	LR: 0.000800
Training Epoch: 19 [34560/46250]	Loss: 0.2513	LR: 0.000800
Training Epoch: 19 [34816/46250]	Loss: 0.2538	LR: 0.000800
Training Epoch: 19 [35072/46250]	Loss: 0.2343	LR: 0.000800
Training Epoch: 19 [35328/46250]	Loss: 0.2854	LR: 0.000800
Training Epoch: 19 [35584/46250]	Loss: 0.2731	LR: 0.000800
Training Epoch: 19 [35840/46250]	Loss: 0.3492	LR: 0.000800
Training Epoch: 19 [36096/46250]	Loss: 0.3084	LR: 0.000800
Training Epoch: 19 [36352/46250]	Loss: 0.2293	LR: 0.000800
Training Epoch: 19 [36608/46250]	Loss: 0.2504	LR: 0.000800
Training Epoch: 19 [36864/46250]	Loss: 0.2926	LR: 0.000800
Training Epoch: 19 [37120/46250]	Loss: 0.2766	LR: 0.000800
Training Epoch: 19 [37376/46250]	Loss: 0.2686	LR: 0.000800
Training Epoch: 19 [37632/46250]	Loss: 0.2631	LR: 0.000800
Training Epoch: 19 [37888/46250]	Loss: 0.2856	LR: 0.000800
Training Epoch: 19 [38144/46250]	Loss: 0.2613	LR: 0.000800
Training Epoch: 19 [38400/46250]	Loss: 0.2606	LR: 0.000800
Training Epoch: 19 [38656/46250]	Loss: 0.2706	LR: 0.000800
Training Epoch: 19 [38912/46250]	Loss: 0.2960	LR: 0.000800
Training Epoch: 19 [39168/46250]	Loss: 0.1967	LR: 0.000800
Training Epoch: 19 [39424/46250]	Loss: 0.2440	LR: 0.000800
Training Epoch: 19 [39680/46250]	Loss: 0.2834	LR: 0.000800
Training Epoch: 19 [39936/46250]	Loss: 0.2305	LR: 0.000800
Training Epoch: 19 [40192/46250]	Loss: 0.3208	LR: 0.000800
Training Epoch: 19 [40448/46250]	Loss: 0.2589	LR: 0.000800
Training Epoch: 19 [40704/46250]	Loss: 0.2443	LR: 0.000800
Training Epoch: 19 [40960/46250]	Loss: 0.2605	LR: 0.000800
Training Epoch: 19 [41216/46250]	Loss: 0.2054	LR: 0.000800
Training Epoch: 19 [41472/46250]	Loss: 0.2362	LR: 0.000800
Training Epoch: 19 [41728/46250]	Loss: 0.3834	LR: 0.000800
Training Epoch: 19 [41984/46250]	Loss: 0.2689	LR: 0.000800
Training Epoch: 19 [42240/46250]	Loss: 0.2936	LR: 0.000800
Training Epoch: 19 [42496/46250]	Loss: 0.3183	LR: 0.000800
Training Epoch: 19 [42752/46250]	Loss: 0.3195	LR: 0.000800
Training Epoch: 19 [43008/46250]	Loss: 0.3407	LR: 0.000800
Training Epoch: 19 [43264/46250]	Loss: 0.2760	LR: 0.000800
Training Epoch: 19 [43520/46250]	Loss: 0.2834	LR: 0.000800
Training Epoch: 19 [43776/46250]	Loss: 0.2047	LR: 0.000800
Training Epoch: 19 [44032/46250]	Loss: 0.3879	LR: 0.000800
Training Epoch: 19 [44288/46250]	Loss: 0.2698	LR: 0.000800
Training Epoch: 19 [44544/46250]	Loss: 0.4288	LR: 0.000800
Training Epoch: 19 [44800/46250]	Loss: 0.2854	LR: 0.000800
Training Epoch: 19 [45056/46250]	Loss: 0.2190	LR: 0.000800
Training Epoch: 19 [45312/46250]	Loss: 0.3262	LR: 0.000800
Training Epoch: 19 [45568/46250]	Loss: 0.3062	LR: 0.000800
Training Epoch: 19 [45824/46250]	Loss: 0.2549	LR: 0.000800
Training Epoch: 19 [46080/46250]	Loss: 0.2573	LR: 0.000800
Training Epoch: 19 [46250/46250]	Loss: 0.3294	LR: 0.000800
Epoch 19 - Average Train Loss: 0.2779, Train Accuracy: 0.9035
Epoch 19 training time consumed: 28.14s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0013, Accuracy: 0.8871, Time consumed:0.94s
Training Epoch: 20 [256/46250]	Loss: 0.2837	LR: 0.000800
Training Epoch: 20 [512/46250]	Loss: 0.2595	LR: 0.000800
Training Epoch: 20 [768/46250]	Loss: 0.3490	LR: 0.000800
Training Epoch: 20 [1024/46250]	Loss: 0.2913	LR: 0.000800
Training Epoch: 20 [1280/46250]	Loss: 0.3208	LR: 0.000800
Training Epoch: 20 [1536/46250]	Loss: 0.2762	LR: 0.000800
Training Epoch: 20 [1792/46250]	Loss: 0.2488	LR: 0.000800
Training Epoch: 20 [2048/46250]	Loss: 0.1986	LR: 0.000800
Training Epoch: 20 [2304/46250]	Loss: 0.2035	LR: 0.000800
Training Epoch: 20 [2560/46250]	Loss: 0.2080	LR: 0.000800
Training Epoch: 20 [2816/46250]	Loss: 0.1874	LR: 0.000800
Training Epoch: 20 [3072/46250]	Loss: 0.2891	LR: 0.000800
Training Epoch: 20 [3328/46250]	Loss: 0.2685	LR: 0.000800
Training Epoch: 20 [3584/46250]	Loss: 0.3104	LR: 0.000800
Training Epoch: 20 [3840/46250]	Loss: 0.3154	LR: 0.000800
Training Epoch: 20 [4096/46250]	Loss: 0.2014	LR: 0.000800
Training Epoch: 20 [4352/46250]	Loss: 0.2607	LR: 0.000800
Training Epoch: 20 [4608/46250]	Loss: 0.2895	LR: 0.000800
Training Epoch: 20 [4864/46250]	Loss: 0.2597	LR: 0.000800
Training Epoch: 20 [5120/46250]	Loss: 0.3282	LR: 0.000800
Training Epoch: 20 [5376/46250]	Loss: 0.3216	LR: 0.000800
Training Epoch: 20 [5632/46250]	Loss: 0.2445	LR: 0.000800
Training Epoch: 20 [5888/46250]	Loss: 0.2537	LR: 0.000800
Training Epoch: 20 [6144/46250]	Loss: 0.3019	LR: 0.000800
Training Epoch: 20 [6400/46250]	Loss: 0.1816	LR: 0.000800
Training Epoch: 20 [6656/46250]	Loss: 0.2304	LR: 0.000800
Training Epoch: 20 [6912/46250]	Loss: 0.2314	LR: 0.000800
Training Epoch: 20 [7168/46250]	Loss: 0.2559	LR: 0.000800
Training Epoch: 20 [7424/46250]	Loss: 0.2906	LR: 0.000800
Training Epoch: 20 [7680/46250]	Loss: 0.3169	LR: 0.000800
Training Epoch: 20 [7936/46250]	Loss: 0.2638	LR: 0.000800
Training Epoch: 20 [8192/46250]	Loss: 0.2945	LR: 0.000800
Training Epoch: 20 [8448/46250]	Loss: 0.2247	LR: 0.000800
Training Epoch: 20 [8704/46250]	Loss: 0.3139	LR: 0.000800
Training Epoch: 20 [8960/46250]	Loss: 0.2572	LR: 0.000800
Training Epoch: 20 [9216/46250]	Loss: 0.2435	LR: 0.000800
Training Epoch: 20 [9472/46250]	Loss: 0.3474	LR: 0.000800
Training Epoch: 20 [9728/46250]	Loss: 0.3533	LR: 0.000800
Training Epoch: 20 [9984/46250]	Loss: 0.2750	LR: 0.000800
Training Epoch: 20 [10240/46250]	Loss: 0.2778	LR: 0.000800
Training Epoch: 20 [10496/46250]	Loss: 0.3356	LR: 0.000800
Training Epoch: 20 [10752/46250]	Loss: 0.3072	LR: 0.000800
Training Epoch: 20 [11008/46250]	Loss: 0.2985	LR: 0.000800
Training Epoch: 20 [11264/46250]	Loss: 0.1783	LR: 0.000800
Training Epoch: 20 [11520/46250]	Loss: 0.2967	LR: 0.000800
Training Epoch: 20 [11776/46250]	Loss: 0.2246	LR: 0.000800
Training Epoch: 20 [12032/46250]	Loss: 0.2950	LR: 0.000800
Training Epoch: 20 [12288/46250]	Loss: 0.2917	LR: 0.000800
Training Epoch: 20 [12544/46250]	Loss: 0.2322	LR: 0.000800
Training Epoch: 20 [12800/46250]	Loss: 0.3475	LR: 0.000800
Training Epoch: 20 [13056/46250]	Loss: 0.2511	LR: 0.000800
Training Epoch: 20 [13312/46250]	Loss: 0.3444	LR: 0.000800
Training Epoch: 20 [13568/46250]	Loss: 0.2733	LR: 0.000800
Training Epoch: 20 [13824/46250]	Loss: 0.3215	LR: 0.000800
Training Epoch: 20 [14080/46250]	Loss: 0.2617	LR: 0.000800
Training Epoch: 20 [14336/46250]	Loss: 0.2790	LR: 0.000800
Training Epoch: 20 [14592/46250]	Loss: 0.2500	LR: 0.000800
Training Epoch: 20 [14848/46250]	Loss: 0.3162	LR: 0.000800
Training Epoch: 20 [15104/46250]	Loss: 0.3120	LR: 0.000800
Training Epoch: 20 [15360/46250]	Loss: 0.2698	LR: 0.000800
Training Epoch: 20 [15616/46250]	Loss: 0.3572	LR: 0.000800
Training Epoch: 20 [15872/46250]	Loss: 0.2505	LR: 0.000800
Training Epoch: 20 [16128/46250]	Loss: 0.2204	LR: 0.000800
Training Epoch: 20 [16384/46250]	Loss: 0.2961	LR: 0.000800
Training Epoch: 20 [16640/46250]	Loss: 0.3066	LR: 0.000800
Training Epoch: 20 [16896/46250]	Loss: 0.2448	LR: 0.000800
Training Epoch: 20 [17152/46250]	Loss: 0.2798	LR: 0.000800
Training Epoch: 20 [17408/46250]	Loss: 0.2325	LR: 0.000800
Training Epoch: 20 [17664/46250]	Loss: 0.2346	LR: 0.000800
Training Epoch: 20 [17920/46250]	Loss: 0.2683	LR: 0.000800
Training Epoch: 20 [18176/46250]	Loss: 0.2579	LR: 0.000800
Training Epoch: 20 [18432/46250]	Loss: 0.2684	LR: 0.000800
Training Epoch: 20 [18688/46250]	Loss: 0.2935	LR: 0.000800
Training Epoch: 20 [18944/46250]	Loss: 0.3110	LR: 0.000800
Training Epoch: 20 [19200/46250]	Loss: 0.2343	LR: 0.000800
Training Epoch: 20 [19456/46250]	Loss: 0.2411	LR: 0.000800
Training Epoch: 20 [19712/46250]	Loss: 0.2619	LR: 0.000800
Training Epoch: 20 [19968/46250]	Loss: 0.3144	LR: 0.000800
Training Epoch: 20 [20224/46250]	Loss: 0.2871	LR: 0.000800
Training Epoch: 20 [20480/46250]	Loss: 0.2417	LR: 0.000800
Training Epoch: 20 [20736/46250]	Loss: 0.2772	LR: 0.000800
Training Epoch: 20 [20992/46250]	Loss: 0.2645	LR: 0.000800
Training Epoch: 20 [21248/46250]	Loss: 0.3174	LR: 0.000800
Training Epoch: 20 [21504/46250]	Loss: 0.3050	LR: 0.000800
Training Epoch: 20 [21760/46250]	Loss: 0.2984	LR: 0.000800
Training Epoch: 20 [22016/46250]	Loss: 0.2994	LR: 0.000800
Training Epoch: 20 [22272/46250]	Loss: 0.3112	LR: 0.000800
Training Epoch: 20 [22528/46250]	Loss: 0.2535	LR: 0.000800
Training Epoch: 20 [22784/46250]	Loss: 0.2742	LR: 0.000800
Training Epoch: 20 [23040/46250]	Loss: 0.2819	LR: 0.000800
Training Epoch: 20 [23296/46250]	Loss: 0.2914	LR: 0.000800
Training Epoch: 20 [23552/46250]	Loss: 0.2709	LR: 0.000800
Training Epoch: 20 [23808/46250]	Loss: 0.2845	LR: 0.000800
Training Epoch: 20 [24064/46250]	Loss: 0.2681	LR: 0.000800
Training Epoch: 20 [24320/46250]	Loss: 0.2370	LR: 0.000800
Training Epoch: 20 [24576/46250]	Loss: 0.3855	LR: 0.000800
Training Epoch: 20 [24832/46250]	Loss: 0.3099	LR: 0.000800
Training Epoch: 20 [25088/46250]	Loss: 0.3342	LR: 0.000800
Training Epoch: 20 [25344/46250]	Loss: 0.2400	LR: 0.000800
Training Epoch: 20 [25600/46250]	Loss: 0.3126	LR: 0.000800
Training Epoch: 20 [25856/46250]	Loss: 0.2531	LR: 0.000800
Training Epoch: 20 [26112/46250]	Loss: 0.3617	LR: 0.000800
Training Epoch: 20 [26368/46250]	Loss: 0.3332	LR: 0.000800
Training Epoch: 20 [26624/46250]	Loss: 0.2315	LR: 0.000800
Training Epoch: 20 [26880/46250]	Loss: 0.2219	LR: 0.000800
Training Epoch: 20 [27136/46250]	Loss: 0.2999	LR: 0.000800
Training Epoch: 20 [27392/46250]	Loss: 0.2124	LR: 0.000800
Training Epoch: 20 [27648/46250]	Loss: 0.1865	LR: 0.000800
Training Epoch: 20 [27904/46250]	Loss: 0.2366	LR: 0.000800
Training Epoch: 20 [28160/46250]	Loss: 0.2502	LR: 0.000800
Training Epoch: 20 [28416/46250]	Loss: 0.2930	LR: 0.000800
Training Epoch: 20 [28672/46250]	Loss: 0.2703	LR: 0.000800
Training Epoch: 20 [28928/46250]	Loss: 0.2864	LR: 0.000800
Training Epoch: 20 [29184/46250]	Loss: 0.2952	LR: 0.000800
Training Epoch: 20 [29440/46250]	Loss: 0.2679	LR: 0.000800
Training Epoch: 20 [29696/46250]	Loss: 0.2167	LR: 0.000800
Training Epoch: 20 [29952/46250]	Loss: 0.2017	LR: 0.000800
Training Epoch: 20 [30208/46250]	Loss: 0.2572	LR: 0.000800
Training Epoch: 20 [30464/46250]	Loss: 0.2924	LR: 0.000800
Training Epoch: 20 [30720/46250]	Loss: 0.2571	LR: 0.000800
Training Epoch: 20 [30976/46250]	Loss: 0.2631	LR: 0.000800
Training Epoch: 20 [31232/46250]	Loss: 0.2742	LR: 0.000800
Training Epoch: 20 [31488/46250]	Loss: 0.2558	LR: 0.000800
Training Epoch: 20 [31744/46250]	Loss: 0.2614	LR: 0.000800
Training Epoch: 20 [32000/46250]	Loss: 0.2774	LR: 0.000800
Training Epoch: 20 [32256/46250]	Loss: 0.2973	LR: 0.000800
Training Epoch: 20 [32512/46250]	Loss: 0.3091	LR: 0.000800
Training Epoch: 20 [32768/46250]	Loss: 0.3144	LR: 0.000800
Training Epoch: 20 [33024/46250]	Loss: 0.2354	LR: 0.000800
Training Epoch: 20 [33280/46250]	Loss: 0.2740	LR: 0.000800
Training Epoch: 20 [33536/46250]	Loss: 0.2071	LR: 0.000800
Training Epoch: 20 [33792/46250]	Loss: 0.2889	LR: 0.000800
Training Epoch: 20 [34048/46250]	Loss: 0.2396	LR: 0.000800
Training Epoch: 20 [34304/46250]	Loss: 0.2168	LR: 0.000800
Training Epoch: 20 [34560/46250]	Loss: 0.2533	LR: 0.000800
Training Epoch: 20 [34816/46250]	Loss: 0.2714	LR: 0.000800
Training Epoch: 20 [35072/46250]	Loss: 0.3058	LR: 0.000800
Training Epoch: 20 [35328/46250]	Loss: 0.2900	LR: 0.000800
Training Epoch: 20 [35584/46250]	Loss: 0.2675	LR: 0.000800
Training Epoch: 20 [35840/46250]	Loss: 0.2485	LR: 0.000800
Training Epoch: 20 [36096/46250]	Loss: 0.2117	LR: 0.000800
Training Epoch: 20 [36352/46250]	Loss: 0.2528	LR: 0.000800
Training Epoch: 20 [36608/46250]	Loss: 0.2795	LR: 0.000800
Training Epoch: 20 [36864/46250]	Loss: 0.3170	LR: 0.000800
Training Epoch: 20 [37120/46250]	Loss: 0.2882	LR: 0.000800
Training Epoch: 20 [37376/46250]	Loss: 0.2519	LR: 0.000800
Training Epoch: 20 [37632/46250]	Loss: 0.2666	LR: 0.000800
Training Epoch: 20 [37888/46250]	Loss: 0.3326	LR: 0.000800
Training Epoch: 20 [38144/46250]	Loss: 0.3472	LR: 0.000800
Training Epoch: 20 [38400/46250]	Loss: 0.2808	LR: 0.000800
Training Epoch: 20 [38656/46250]	Loss: 0.2235	LR: 0.000800
Training Epoch: 20 [38912/46250]	Loss: 0.2678	LR: 0.000800
Training Epoch: 20 [39168/46250]	Loss: 0.2179	LR: 0.000800
Training Epoch: 20 [39424/46250]	Loss: 0.1946	LR: 0.000800
Training Epoch: 20 [39680/46250]	Loss: 0.3032	LR: 0.000800
Training Epoch: 20 [39936/46250]	Loss: 0.2658	LR: 0.000800
Training Epoch: 20 [40192/46250]	Loss: 0.3635	LR: 0.000800
Training Epoch: 20 [40448/46250]	Loss: 0.2817	LR: 0.000800
Training Epoch: 20 [40704/46250]	Loss: 0.3313	LR: 0.000800
Training Epoch: 20 [40960/46250]	Loss: 0.2877	LR: 0.000800
Training Epoch: 20 [41216/46250]	Loss: 0.2825	LR: 0.000800
Training Epoch: 20 [41472/46250]	Loss: 0.3253	LR: 0.000800
Training Epoch: 20 [41728/46250]	Loss: 0.3003	LR: 0.000800
Training Epoch: 20 [41984/46250]	Loss: 0.2862	LR: 0.000800
Training Epoch: 20 [42240/46250]	Loss: 0.2837	LR: 0.000800
Training Epoch: 20 [42496/46250]	Loss: 0.2960	LR: 0.000800
Training Epoch: 20 [42752/46250]	Loss: 0.2412	LR: 0.000800
Training Epoch: 20 [43008/46250]	Loss: 0.1977	LR: 0.000800
Training Epoch: 20 [43264/46250]	Loss: 0.1892	LR: 0.000800
Training Epoch: 20 [43520/46250]	Loss: 0.2235	LR: 0.000800
Training Epoch: 20 [43776/46250]	Loss: 0.2735	LR: 0.000800
Training Epoch: 20 [44032/46250]	Loss: 0.2641	LR: 0.000800
Training Epoch: 20 [44288/46250]	Loss: 0.3464	LR: 0.000800
Training Epoch: 20 [44544/46250]	Loss: 0.2876	LR: 0.000800
Training Epoch: 20 [44800/46250]	Loss: 0.2668	LR: 0.000800
Training Epoch: 20 [45056/46250]	Loss: 0.3260	LR: 0.000800
Training Epoch: 20 [45312/46250]	Loss: 0.3012	LR: 0.000800
Training Epoch: 20 [45568/46250]	Loss: 0.2641	LR: 0.000800
Training Epoch: 20 [45824/46250]	Loss: 0.3008	LR: 0.000800
Training Epoch: 20 [46080/46250]	Loss: 0.2451	LR: 0.000800
Training Epoch: 20 [46250/46250]	Loss: 0.3315	LR: 0.000800
Epoch 20 - Average Train Loss: 0.2745, Train Accuracy: 0.9041
Epoch 20 training time consumed: 28.16s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0013, Accuracy: 0.8893, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_08h_24m_45s/ResNet18-Cifar10-seed7-ret25-20-best.pth
Valid (Test) Dl:  10000
Train Dl:  50000
Retain Train Dl:  46250
Forget Train Dl:  3750
Retain Valid Dl:  46250
Forget Valid Dl:  3750
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 3750 samples
Set1 Distribution: 3750 samples
Set2 Distribution: 3750 samples
MIA Attack Accuracy with XGBoost: 0.7387
Set1 Distribution: 3750 samples
Set2 Distribution: 3750 samples
MIA Attack Accuracy with XGBoost: 0.4853
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
MIA Attack Accuracy with XGBoost: 0.6657
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
MIA Attack Accuracy with XGBoost: 0.5102
Test Accuracy: 91.552734375
Retain Accuracy: 94.07575225830078
Zero-Retain Forget (ZRF): 0.8224848508834839
Membership Inference Attack (MIA): 0.6933333333333334
Forget vs Retain Membership Inference Attack (MIA): 0.7386666666666667
Forget vs Test Membership Inference Attack (MIA): 0.48533333333333334
Test vs Retain Membership Inference Attack (MIA): 0.66575
Train vs Test Membership Inference Attack (MIA): 0.51025
Forget Set Accuracy (Df): 94.07222747802734
Method Execution Time: 2350.40 seconds
