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

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

Updated class distribution:
Retain set:
  Class 0: 4875
  Class 1: 4875
  Class 2: 4875
  Class 3: 4875
  Class 4: 4875
  Class 5: 4875
  Class 6: 4875
  Class 7: 4875
  Class 8: 4875
  Class 9: 4875
Forget set:
  Class 0: 125
  Class 1: 125
  Class 2: 125
  Class 3: 125
  Class 4: 125
  Class 5: 125
  Class 6: 125
  Class 7: 125
  Class 8: 125
  Class 9: 125
⚠️ Warning: Retain train loader may not be shuffled.
Training Epoch: 1 [256/48750]	Loss: 2.3345	LR: 0.000000
Training Epoch: 1 [512/48750]	Loss: 2.3381	LR: 0.000524
Training Epoch: 1 [768/48750]	Loss: 2.3324	LR: 0.001047
Training Epoch: 1 [1024/48750]	Loss: 2.3099	LR: 0.001571
Training Epoch: 1 [1280/48750]	Loss: 2.2951	LR: 0.002094
Training Epoch: 1 [1536/48750]	Loss: 2.2389	LR: 0.002618
Training Epoch: 1 [1792/48750]	Loss: 2.2439	LR: 0.003141
Training Epoch: 1 [2048/48750]	Loss: 2.2134	LR: 0.003665
Training Epoch: 1 [2304/48750]	Loss: 2.2237	LR: 0.004188
Training Epoch: 1 [2560/48750]	Loss: 2.2472	LR: 0.004712
Training Epoch: 1 [2816/48750]	Loss: 2.2574	LR: 0.005236
Training Epoch: 1 [3072/48750]	Loss: 2.1362	LR: 0.005759
Training Epoch: 1 [3328/48750]	Loss: 2.0921	LR: 0.006283
Training Epoch: 1 [3584/48750]	Loss: 2.0516	LR: 0.006806
Training Epoch: 1 [3840/48750]	Loss: 2.0624	LR: 0.007330
Training Epoch: 1 [4096/48750]	Loss: 1.9686	LR: 0.007853
Training Epoch: 1 [4352/48750]	Loss: 1.9464	LR: 0.008377
Training Epoch: 1 [4608/48750]	Loss: 1.9470	LR: 0.008901
Training Epoch: 1 [4864/48750]	Loss: 1.9442	LR: 0.009424
Training Epoch: 1 [5120/48750]	Loss: 2.0447	LR: 0.009948
Training Epoch: 1 [5376/48750]	Loss: 1.9101	LR: 0.010471
Training Epoch: 1 [5632/48750]	Loss: 2.0097	LR: 0.010995
Training Epoch: 1 [5888/48750]	Loss: 1.9481	LR: 0.011518
Training Epoch: 1 [6144/48750]	Loss: 1.7975	LR: 0.012042
Training Epoch: 1 [6400/48750]	Loss: 2.0574	LR: 0.012565
Training Epoch: 1 [6656/48750]	Loss: 1.8643	LR: 0.013089
Training Epoch: 1 [6912/48750]	Loss: 1.7691	LR: 0.013613
Training Epoch: 1 [7168/48750]	Loss: 1.7443	LR: 0.014136
Training Epoch: 1 [7424/48750]	Loss: 1.7890	LR: 0.014660
Training Epoch: 1 [7680/48750]	Loss: 1.9480	LR: 0.015183
Training Epoch: 1 [7936/48750]	Loss: 1.7925	LR: 0.015707
Training Epoch: 1 [8192/48750]	Loss: 1.8849	LR: 0.016230
Training Epoch: 1 [8448/48750]	Loss: 1.8651	LR: 0.016754
Training Epoch: 1 [8704/48750]	Loss: 1.7891	LR: 0.017277
Training Epoch: 1 [8960/48750]	Loss: 1.8153	LR: 0.017801
Training Epoch: 1 [9216/48750]	Loss: 1.7405	LR: 0.018325
Training Epoch: 1 [9472/48750]	Loss: 1.9991	LR: 0.018848
Training Epoch: 1 [9728/48750]	Loss: 1.9364	LR: 0.019372
Training Epoch: 1 [9984/48750]	Loss: 1.7368	LR: 0.019895
Training Epoch: 1 [10240/48750]	Loss: 2.1151	LR: 0.020419
Training Epoch: 1 [10496/48750]	Loss: 1.8019	LR: 0.020942
Training Epoch: 1 [10752/48750]	Loss: 1.9964	LR: 0.021466
Training Epoch: 1 [11008/48750]	Loss: 1.9560	LR: 0.021990
Training Epoch: 1 [11264/48750]	Loss: 1.9202	LR: 0.022513
Training Epoch: 1 [11520/48750]	Loss: 1.8568	LR: 0.023037
Training Epoch: 1 [11776/48750]	Loss: 1.7380	LR: 0.023560
Training Epoch: 1 [12032/48750]	Loss: 1.9361	LR: 0.024084
Training Epoch: 1 [12288/48750]	Loss: 1.7193	LR: 0.024607
Training Epoch: 1 [12544/48750]	Loss: 1.7472	LR: 0.025131
Training Epoch: 1 [12800/48750]	Loss: 1.8210	LR: 0.025654
Training Epoch: 1 [13056/48750]	Loss: 1.6578	LR: 0.026178
Training Epoch: 1 [13312/48750]	Loss: 1.7809	LR: 0.026702
Training Epoch: 1 [13568/48750]	Loss: 1.7303	LR: 0.027225
Training Epoch: 1 [13824/48750]	Loss: 1.6648	LR: 0.027749
Training Epoch: 1 [14080/48750]	Loss: 1.7270	LR: 0.028272
Training Epoch: 1 [14336/48750]	Loss: 1.7186	LR: 0.028796
Training Epoch: 1 [14592/48750]	Loss: 1.6732	LR: 0.029319
Training Epoch: 1 [14848/48750]	Loss: 1.7158	LR: 0.029843
Training Epoch: 1 [15104/48750]	Loss: 1.7798	LR: 0.030366
Training Epoch: 1 [15360/48750]	Loss: 1.7981	LR: 0.030890
Training Epoch: 1 [15616/48750]	Loss: 1.6607	LR: 0.031414
Training Epoch: 1 [15872/48750]	Loss: 1.6449	LR: 0.031937
Training Epoch: 1 [16128/48750]	Loss: 1.7456	LR: 0.032461
Training Epoch: 1 [16384/48750]	Loss: 1.7597	LR: 0.032984
Training Epoch: 1 [16640/48750]	Loss: 1.6236	LR: 0.033508
Training Epoch: 1 [16896/48750]	Loss: 1.7459	LR: 0.034031
Training Epoch: 1 [17152/48750]	Loss: 1.7510	LR: 0.034555
Training Epoch: 1 [17408/48750]	Loss: 1.8899	LR: 0.035079
Training Epoch: 1 [17664/48750]	Loss: 1.7299	LR: 0.035602
Training Epoch: 1 [17920/48750]	Loss: 1.7624	LR: 0.036126
Training Epoch: 1 [18176/48750]	Loss: 1.7874	LR: 0.036649
Training Epoch: 1 [18432/48750]	Loss: 1.7678	LR: 0.037173
Training Epoch: 1 [18688/48750]	Loss: 1.6400	LR: 0.037696
Training Epoch: 1 [18944/48750]	Loss: 1.8586	LR: 0.038220
Training Epoch: 1 [19200/48750]	Loss: 1.6368	LR: 0.038743
Training Epoch: 1 [19456/48750]	Loss: 1.6105	LR: 0.039267
Training Epoch: 1 [19712/48750]	Loss: 1.6530	LR: 0.039791
Training Epoch: 1 [19968/48750]	Loss: 1.6505	LR: 0.040314
Training Epoch: 1 [20224/48750]	Loss: 1.5918	LR: 0.040838
Training Epoch: 1 [20480/48750]	Loss: 1.6781	LR: 0.041361
Training Epoch: 1 [20736/48750]	Loss: 1.6236	LR: 0.041885
Training Epoch: 1 [20992/48750]	Loss: 1.7763	LR: 0.042408
Training Epoch: 1 [21248/48750]	Loss: 1.8279	LR: 0.042932
Training Epoch: 1 [21504/48750]	Loss: 1.7486	LR: 0.043455
Training Epoch: 1 [21760/48750]	Loss: 1.5050	LR: 0.043979
Training Epoch: 1 [22016/48750]	Loss: 1.7327	LR: 0.044503
Training Epoch: 1 [22272/48750]	Loss: 1.6453	LR: 0.045026
Training Epoch: 1 [22528/48750]	Loss: 1.6216	LR: 0.045550
Training Epoch: 1 [22784/48750]	Loss: 1.6565	LR: 0.046073
Training Epoch: 1 [23040/48750]	Loss: 1.5029	LR: 0.046597
Training Epoch: 1 [23296/48750]	Loss: 1.5838	LR: 0.047120
Training Epoch: 1 [23552/48750]	Loss: 1.6178	LR: 0.047644
Training Epoch: 1 [23808/48750]	Loss: 1.6068	LR: 0.048168
Training Epoch: 1 [24064/48750]	Loss: 1.5980	LR: 0.048691
Training Epoch: 1 [24320/48750]	Loss: 1.7499	LR: 0.049215
Training Epoch: 1 [24576/48750]	Loss: 1.9233	LR: 0.049738
Training Epoch: 1 [24832/48750]	Loss: 1.5231	LR: 0.050262
Training Epoch: 1 [25088/48750]	Loss: 1.8084	LR: 0.050785
Training Epoch: 1 [25344/48750]	Loss: 1.7515	LR: 0.051309
Training Epoch: 1 [25600/48750]	Loss: 1.6011	LR: 0.051832
Training Epoch: 1 [25856/48750]	Loss: 1.7953	LR: 0.052356
Training Epoch: 1 [26112/48750]	Loss: 1.7943	LR: 0.052880
Training Epoch: 1 [26368/48750]	Loss: 1.6335	LR: 0.053403
Training Epoch: 1 [26624/48750]	Loss: 1.8782	LR: 0.053927
Training Epoch: 1 [26880/48750]	Loss: 1.8471	LR: 0.054450
Training Epoch: 1 [27136/48750]	Loss: 1.7296	LR: 0.054974
Training Epoch: 1 [27392/48750]	Loss: 1.4781	LR: 0.055497
Training Epoch: 1 [27648/48750]	Loss: 1.6115	LR: 0.056021
Training Epoch: 1 [27904/48750]	Loss: 1.7469	LR: 0.056545
Training Epoch: 1 [28160/48750]	Loss: 1.6055	LR: 0.057068
Training Epoch: 1 [28416/48750]	Loss: 1.4753	LR: 0.057592
Training Epoch: 1 [28672/48750]	Loss: 1.7196	LR: 0.058115
Training Epoch: 1 [28928/48750]	Loss: 1.8028	LR: 0.058639
Training Epoch: 1 [29184/48750]	Loss: 1.4935	LR: 0.059162
Training Epoch: 1 [29440/48750]	Loss: 1.6733	LR: 0.059686
Training Epoch: 1 [29696/48750]	Loss: 1.5635	LR: 0.060209
Training Epoch: 1 [29952/48750]	Loss: 1.4945	LR: 0.060733
Training Epoch: 1 [30208/48750]	Loss: 1.3521	LR: 0.061257
Training Epoch: 1 [30464/48750]	Loss: 1.4933	LR: 0.061780
Training Epoch: 1 [30720/48750]	Loss: 1.5361	LR: 0.062304
Training Epoch: 1 [30976/48750]	Loss: 1.5505	LR: 0.062827
Training Epoch: 1 [31232/48750]	Loss: 1.5045	LR: 0.063351
Training Epoch: 1 [31488/48750]	Loss: 1.4753	LR: 0.063874
Training Epoch: 1 [31744/48750]	Loss: 1.6649	LR: 0.064398
Training Epoch: 1 [32000/48750]	Loss: 1.4565	LR: 0.064921
Training Epoch: 1 [32256/48750]	Loss: 1.6651	LR: 0.065445
Training Epoch: 1 [32512/48750]	Loss: 1.6301	LR: 0.065969
Training Epoch: 1 [32768/48750]	Loss: 1.7393	LR: 0.066492
Training Epoch: 1 [33024/48750]	Loss: 1.4407	LR: 0.067016
Training Epoch: 1 [33280/48750]	Loss: 1.6252	LR: 0.067539
Training Epoch: 1 [33536/48750]	Loss: 1.6484	LR: 0.068063
Training Epoch: 1 [33792/48750]	Loss: 1.6683	LR: 0.068586
Training Epoch: 1 [34048/48750]	Loss: 1.7829	LR: 0.069110
Training Epoch: 1 [34304/48750]	Loss: 1.5958	LR: 0.069634
Training Epoch: 1 [34560/48750]	Loss: 1.5121	LR: 0.070157
Training Epoch: 1 [34816/48750]	Loss: 1.6849	LR: 0.070681
Training Epoch: 1 [35072/48750]	Loss: 1.5676	LR: 0.071204
Training Epoch: 1 [35328/48750]	Loss: 1.5338	LR: 0.071728
Training Epoch: 1 [35584/48750]	Loss: 1.9756	LR: 0.072251
Training Epoch: 1 [35840/48750]	Loss: 1.6515	LR: 0.072775
Training Epoch: 1 [36096/48750]	Loss: 1.6078	LR: 0.073298
Training Epoch: 1 [36352/48750]	Loss: 1.6569	LR: 0.073822
Training Epoch: 1 [36608/48750]	Loss: 1.4578	LR: 0.074346
Training Epoch: 1 [36864/48750]	Loss: 1.5637	LR: 0.074869
Training Epoch: 1 [37120/48750]	Loss: 1.5977	LR: 0.075393
Training Epoch: 1 [37376/48750]	Loss: 1.4660	LR: 0.075916
Training Epoch: 1 [37632/48750]	Loss: 1.4375	LR: 0.076440
Training Epoch: 1 [37888/48750]	Loss: 1.6670	LR: 0.076963
Training Epoch: 1 [38144/48750]	Loss: 1.4463	LR: 0.077487
Training Epoch: 1 [38400/48750]	Loss: 1.5342	LR: 0.078010
Training Epoch: 1 [38656/48750]	Loss: 1.4743	LR: 0.078534
Training Epoch: 1 [38912/48750]	Loss: 1.4119	LR: 0.079058
Training Epoch: 1 [39168/48750]	Loss: 1.5663	LR: 0.079581
Training Epoch: 1 [39424/48750]	Loss: 1.5384	LR: 0.080105
Training Epoch: 1 [39680/48750]	Loss: 1.5496	LR: 0.080628
Training Epoch: 1 [39936/48750]	Loss: 1.3887	LR: 0.081152
Training Epoch: 1 [40192/48750]	Loss: 1.4019	LR: 0.081675
Training Epoch: 1 [40448/48750]	Loss: 1.4802	LR: 0.082199
Training Epoch: 1 [40704/48750]	Loss: 1.4756	LR: 0.082723
Training Epoch: 1 [40960/48750]	Loss: 1.4046	LR: 0.083246
Training Epoch: 1 [41216/48750]	Loss: 1.5093	LR: 0.083770
Training Epoch: 1 [41472/48750]	Loss: 1.4948	LR: 0.084293
Training Epoch: 1 [41728/48750]	Loss: 1.5359	LR: 0.084817
Training Epoch: 1 [41984/48750]	Loss: 1.4874	LR: 0.085340
Training Epoch: 1 [42240/48750]	Loss: 1.6289	LR: 0.085864
Training Epoch: 1 [42496/48750]	Loss: 1.5552	LR: 0.086387
Training Epoch: 1 [42752/48750]	Loss: 1.4533	LR: 0.086911
Training Epoch: 1 [43008/48750]	Loss: 1.6452	LR: 0.087435
Training Epoch: 1 [43264/48750]	Loss: 1.5927	LR: 0.087958
Training Epoch: 1 [43520/48750]	Loss: 1.5763	LR: 0.088482
Training Epoch: 1 [43776/48750]	Loss: 1.5223	LR: 0.089005
Training Epoch: 1 [44032/48750]	Loss: 1.4570	LR: 0.089529
Training Epoch: 1 [44288/48750]	Loss: 1.3785	LR: 0.090052
Training Epoch: 1 [44544/48750]	Loss: 1.3919	LR: 0.090576
Training Epoch: 1 [44800/48750]	Loss: 1.6658	LR: 0.091099
Training Epoch: 1 [45056/48750]	Loss: 1.3954	LR: 0.091623
Training Epoch: 1 [45312/48750]	Loss: 1.5827	LR: 0.092147
Training Epoch: 1 [45568/48750]	Loss: 1.4057	LR: 0.092670
Training Epoch: 1 [45824/48750]	Loss: 1.5886	LR: 0.093194
Training Epoch: 1 [46080/48750]	Loss: 1.4488	LR: 0.093717
Training Epoch: 1 [46336/48750]	Loss: 1.5316	LR: 0.094241
Training Epoch: 1 [46592/48750]	Loss: 1.6583	LR: 0.094764
Training Epoch: 1 [46848/48750]	Loss: 1.4112	LR: 0.095288
Training Epoch: 1 [47104/48750]	Loss: 1.5115	LR: 0.095812
Training Epoch: 1 [47360/48750]	Loss: 1.4312	LR: 0.096335
Training Epoch: 1 [47616/48750]	Loss: 1.3960	LR: 0.096859
Training Epoch: 1 [47872/48750]	Loss: 1.3195	LR: 0.097382
Training Epoch: 1 [48128/48750]	Loss: 1.4070	LR: 0.097906
Training Epoch: 1 [48384/48750]	Loss: 1.4418	LR: 0.098429
Training Epoch: 1 [48640/48750]	Loss: 1.2824	LR: 0.098953
Training Epoch: 1 [48750/48750]	Loss: 1.6431	LR: 0.099476
Epoch 1 - Average Train Loss: 1.7051, Train Accuracy: 0.3797
Epoch 1 training time consumed: 30.25s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0058, Accuracy: 0.4836, Time consumed:0.98s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_20h_07m_11s/ResNet18-Cifar10-seed4-ret75-1-best.pth
Training Epoch: 2 [256/48750]	Loss: 1.5283	LR: 0.100000
Training Epoch: 2 [512/48750]	Loss: 1.6053	LR: 0.100000
Training Epoch: 2 [768/48750]	Loss: 1.4177	LR: 0.100000
Training Epoch: 2 [1024/48750]	Loss: 1.4582	LR: 0.100000
Training Epoch: 2 [1280/48750]	Loss: 1.4789	LR: 0.100000
Training Epoch: 2 [1536/48750]	Loss: 1.3308	LR: 0.100000
Training Epoch: 2 [1792/48750]	Loss: 1.3229	LR: 0.100000
Training Epoch: 2 [2048/48750]	Loss: 1.3251	LR: 0.100000
Training Epoch: 2 [2304/48750]	Loss: 1.4581	LR: 0.100000
Training Epoch: 2 [2560/48750]	Loss: 1.3762	LR: 0.100000
Training Epoch: 2 [2816/48750]	Loss: 1.4292	LR: 0.100000
Training Epoch: 2 [3072/48750]	Loss: 1.4055	LR: 0.100000
Training Epoch: 2 [3328/48750]	Loss: 1.2761	LR: 0.100000
Training Epoch: 2 [3584/48750]	Loss: 1.3106	LR: 0.100000
Training Epoch: 2 [3840/48750]	Loss: 1.2995	LR: 0.100000
Training Epoch: 2 [4096/48750]	Loss: 1.4254	LR: 0.100000
Training Epoch: 2 [4352/48750]	Loss: 1.2944	LR: 0.100000
Training Epoch: 2 [4608/48750]	Loss: 1.2755	LR: 0.100000
Training Epoch: 2 [4864/48750]	Loss: 1.3866	LR: 0.100000
Training Epoch: 2 [5120/48750]	Loss: 1.2967	LR: 0.100000
Training Epoch: 2 [5376/48750]	Loss: 1.2392	LR: 0.100000
Training Epoch: 2 [5632/48750]	Loss: 1.2209	LR: 0.100000
Training Epoch: 2 [5888/48750]	Loss: 1.2671	LR: 0.100000
Training Epoch: 2 [6144/48750]	Loss: 1.4063	LR: 0.100000
Training Epoch: 2 [6400/48750]	Loss: 1.3328	LR: 0.100000
Training Epoch: 2 [6656/48750]	Loss: 1.3337	LR: 0.100000
Training Epoch: 2 [6912/48750]	Loss: 1.3442	LR: 0.100000
Training Epoch: 2 [7168/48750]	Loss: 1.4041	LR: 0.100000
Training Epoch: 2 [7424/48750]	Loss: 1.3065	LR: 0.100000
Training Epoch: 2 [7680/48750]	Loss: 1.4599	LR: 0.100000
Training Epoch: 2 [7936/48750]	Loss: 1.3302	LR: 0.100000
Training Epoch: 2 [8192/48750]	Loss: 1.2143	LR: 0.100000
Training Epoch: 2 [8448/48750]	Loss: 1.3210	LR: 0.100000
Training Epoch: 2 [8704/48750]	Loss: 1.2256	LR: 0.100000
Training Epoch: 2 [8960/48750]	Loss: 1.2641	LR: 0.100000
Training Epoch: 2 [9216/48750]	Loss: 1.2460	LR: 0.100000
Training Epoch: 2 [9472/48750]	Loss: 1.3197	LR: 0.100000
Training Epoch: 2 [9728/48750]	Loss: 1.0950	LR: 0.100000
Training Epoch: 2 [9984/48750]	Loss: 1.2579	LR: 0.100000
Training Epoch: 2 [10240/48750]	Loss: 1.2332	LR: 0.100000
Training Epoch: 2 [10496/48750]	Loss: 1.2782	LR: 0.100000
Training Epoch: 2 [10752/48750]	Loss: 1.1387	LR: 0.100000
Training Epoch: 2 [11008/48750]	Loss: 1.3363	LR: 0.100000
Training Epoch: 2 [11264/48750]	Loss: 1.2109	LR: 0.100000
Training Epoch: 2 [11520/48750]	Loss: 1.1816	LR: 0.100000
Training Epoch: 2 [11776/48750]	Loss: 1.2820	LR: 0.100000
Training Epoch: 2 [12032/48750]	Loss: 1.1980	LR: 0.100000
Training Epoch: 2 [12288/48750]	Loss: 1.3714	LR: 0.100000
Training Epoch: 2 [12544/48750]	Loss: 1.2300	LR: 0.100000
Training Epoch: 2 [12800/48750]	Loss: 1.1778	LR: 0.100000
Training Epoch: 2 [13056/48750]	Loss: 1.2795	LR: 0.100000
Training Epoch: 2 [13312/48750]	Loss: 1.1859	LR: 0.100000
Training Epoch: 2 [13568/48750]	Loss: 1.2110	LR: 0.100000
Training Epoch: 2 [13824/48750]	Loss: 1.2087	LR: 0.100000
Training Epoch: 2 [14080/48750]	Loss: 1.1119	LR: 0.100000
Training Epoch: 2 [14336/48750]	Loss: 1.2004	LR: 0.100000
Training Epoch: 2 [14592/48750]	Loss: 1.2332	LR: 0.100000
Training Epoch: 2 [14848/48750]	Loss: 1.1619	LR: 0.100000
Training Epoch: 2 [15104/48750]	Loss: 1.2025	LR: 0.100000
Training Epoch: 2 [15360/48750]	Loss: 1.1656	LR: 0.100000
Training Epoch: 2 [15616/48750]	Loss: 1.1950	LR: 0.100000
Training Epoch: 2 [15872/48750]	Loss: 1.2919	LR: 0.100000
Training Epoch: 2 [16128/48750]	Loss: 1.2885	LR: 0.100000
Training Epoch: 2 [16384/48750]	Loss: 1.2672	LR: 0.100000
Training Epoch: 2 [16640/48750]	Loss: 1.2001	LR: 0.100000
Training Epoch: 2 [16896/48750]	Loss: 1.2140	LR: 0.100000
Training Epoch: 2 [17152/48750]	Loss: 1.3355	LR: 0.100000
Training Epoch: 2 [17408/48750]	Loss: 1.2395	LR: 0.100000
Training Epoch: 2 [17664/48750]	Loss: 1.1928	LR: 0.100000
Training Epoch: 2 [17920/48750]	Loss: 1.2592	LR: 0.100000
Training Epoch: 2 [18176/48750]	Loss: 1.1719	LR: 0.100000
Training Epoch: 2 [18432/48750]	Loss: 1.1135	LR: 0.100000
Training Epoch: 2 [18688/48750]	Loss: 1.1176	LR: 0.100000
Training Epoch: 2 [18944/48750]	Loss: 1.2417	LR: 0.100000
Training Epoch: 2 [19200/48750]	Loss: 1.2001	LR: 0.100000
Training Epoch: 2 [19456/48750]	Loss: 1.2461	LR: 0.100000
Training Epoch: 2 [19712/48750]	Loss: 1.2756	LR: 0.100000
Training Epoch: 2 [19968/48750]	Loss: 1.1669	LR: 0.100000
Training Epoch: 2 [20224/48750]	Loss: 0.9602	LR: 0.100000
Training Epoch: 2 [20480/48750]	Loss: 1.1607	LR: 0.100000
Training Epoch: 2 [20736/48750]	Loss: 1.1749	LR: 0.100000
Training Epoch: 2 [20992/48750]	Loss: 1.0951	LR: 0.100000
Training Epoch: 2 [21248/48750]	Loss: 1.1571	LR: 0.100000
Training Epoch: 2 [21504/48750]	Loss: 1.1207	LR: 0.100000
Training Epoch: 2 [21760/48750]	Loss: 1.2575	LR: 0.100000
Training Epoch: 2 [22016/48750]	Loss: 1.0096	LR: 0.100000
Training Epoch: 2 [22272/48750]	Loss: 1.2048	LR: 0.100000
Training Epoch: 2 [22528/48750]	Loss: 1.4943	LR: 0.100000
Training Epoch: 2 [22784/48750]	Loss: 1.2473	LR: 0.100000
Training Epoch: 2 [23040/48750]	Loss: 1.4222	LR: 0.100000
Training Epoch: 2 [23296/48750]	Loss: 1.2970	LR: 0.100000
Training Epoch: 2 [23552/48750]	Loss: 1.3135	LR: 0.100000
Training Epoch: 2 [23808/48750]	Loss: 1.1891	LR: 0.100000
Training Epoch: 2 [24064/48750]	Loss: 1.0986	LR: 0.100000
Training Epoch: 2 [24320/48750]	Loss: 1.3830	LR: 0.100000
Training Epoch: 2 [24576/48750]	Loss: 1.2691	LR: 0.100000
Training Epoch: 2 [24832/48750]	Loss: 1.1845	LR: 0.100000
Training Epoch: 2 [25088/48750]	Loss: 1.1572	LR: 0.100000
Training Epoch: 2 [25344/48750]	Loss: 1.2467	LR: 0.100000
Training Epoch: 2 [25600/48750]	Loss: 1.2876	LR: 0.100000
Training Epoch: 2 [25856/48750]	Loss: 1.1459	LR: 0.100000
Training Epoch: 2 [26112/48750]	Loss: 1.1786	LR: 0.100000
Training Epoch: 2 [26368/48750]	Loss: 1.1820	LR: 0.100000
Training Epoch: 2 [26624/48750]	Loss: 1.2270	LR: 0.100000
Training Epoch: 2 [26880/48750]	Loss: 1.0753	LR: 0.100000
Training Epoch: 2 [27136/48750]	Loss: 1.2350	LR: 0.100000
Training Epoch: 2 [27392/48750]	Loss: 1.2872	LR: 0.100000
Training Epoch: 2 [27648/48750]	Loss: 1.1524	LR: 0.100000
Training Epoch: 2 [27904/48750]	Loss: 1.1591	LR: 0.100000
Training Epoch: 2 [28160/48750]	Loss: 1.2313	LR: 0.100000
Training Epoch: 2 [28416/48750]	Loss: 1.2277	LR: 0.100000
Training Epoch: 2 [28672/48750]	Loss: 1.2698	LR: 0.100000
Training Epoch: 2 [28928/48750]	Loss: 1.0962	LR: 0.100000
Training Epoch: 2 [29184/48750]	Loss: 1.1856	LR: 0.100000
Training Epoch: 2 [29440/48750]	Loss: 1.4779	LR: 0.100000
Training Epoch: 2 [29696/48750]	Loss: 1.3662	LR: 0.100000
Training Epoch: 2 [29952/48750]	Loss: 1.2068	LR: 0.100000
Training Epoch: 2 [30208/48750]	Loss: 1.3857	LR: 0.100000
Training Epoch: 2 [30464/48750]	Loss: 1.3780	LR: 0.100000
Training Epoch: 2 [30720/48750]	Loss: 1.3094	LR: 0.100000
Training Epoch: 2 [30976/48750]	Loss: 1.1613	LR: 0.100000
Training Epoch: 2 [31232/48750]	Loss: 1.2449	LR: 0.100000
Training Epoch: 2 [31488/48750]	Loss: 1.4091	LR: 0.100000
Training Epoch: 2 [31744/48750]	Loss: 1.2057	LR: 0.100000
Training Epoch: 2 [32000/48750]	Loss: 1.2132	LR: 0.100000
Training Epoch: 2 [32256/48750]	Loss: 1.1050	LR: 0.100000
Training Epoch: 2 [32512/48750]	Loss: 1.0306	LR: 0.100000
Training Epoch: 2 [32768/48750]	Loss: 1.2206	LR: 0.100000
Training Epoch: 2 [33024/48750]	Loss: 1.2794	LR: 0.100000
Training Epoch: 2 [33280/48750]	Loss: 1.3081	LR: 0.100000
Training Epoch: 2 [33536/48750]	Loss: 1.0883	LR: 0.100000
Training Epoch: 2 [33792/48750]	Loss: 1.2251	LR: 0.100000
Training Epoch: 2 [34048/48750]	Loss: 1.2853	LR: 0.100000
Training Epoch: 2 [34304/48750]	Loss: 1.2614	LR: 0.100000
Training Epoch: 2 [34560/48750]	Loss: 1.1511	LR: 0.100000
Training Epoch: 2 [34816/48750]	Loss: 1.1183	LR: 0.100000
Training Epoch: 2 [35072/48750]	Loss: 1.2616	LR: 0.100000
Training Epoch: 2 [35328/48750]	Loss: 1.0893	LR: 0.100000
Training Epoch: 2 [35584/48750]	Loss: 1.1735	LR: 0.100000
Training Epoch: 2 [35840/48750]	Loss: 1.1174	LR: 0.100000
Training Epoch: 2 [36096/48750]	Loss: 1.1978	LR: 0.100000
Training Epoch: 2 [36352/48750]	Loss: 1.0929	LR: 0.100000
Training Epoch: 2 [36608/48750]	Loss: 1.2478	LR: 0.100000
Training Epoch: 2 [36864/48750]	Loss: 1.0956	LR: 0.100000
Training Epoch: 2 [37120/48750]	Loss: 1.0024	LR: 0.100000
Training Epoch: 2 [37376/48750]	Loss: 1.0926	LR: 0.100000
Training Epoch: 2 [37632/48750]	Loss: 1.0383	LR: 0.100000
Training Epoch: 2 [37888/48750]	Loss: 1.1408	LR: 0.100000
Training Epoch: 2 [38144/48750]	Loss: 1.1354	LR: 0.100000
Training Epoch: 2 [38400/48750]	Loss: 1.0518	LR: 0.100000
Training Epoch: 2 [38656/48750]	Loss: 1.1595	LR: 0.100000
Training Epoch: 2 [38912/48750]	Loss: 1.0695	LR: 0.100000
Training Epoch: 2 [39168/48750]	Loss: 1.0168	LR: 0.100000
Training Epoch: 2 [39424/48750]	Loss: 1.0605	LR: 0.100000
Training Epoch: 2 [39680/48750]	Loss: 1.1418	LR: 0.100000
Training Epoch: 2 [39936/48750]	Loss: 1.0417	LR: 0.100000
Training Epoch: 2 [40192/48750]	Loss: 1.1695	LR: 0.100000
Training Epoch: 2 [40448/48750]	Loss: 1.1434	LR: 0.100000
Training Epoch: 2 [40704/48750]	Loss: 1.2946	LR: 0.100000
Training Epoch: 2 [40960/48750]	Loss: 1.0734	LR: 0.100000
Training Epoch: 2 [41216/48750]	Loss: 1.0371	LR: 0.100000
Training Epoch: 2 [41472/48750]	Loss: 1.0854	LR: 0.100000
Training Epoch: 2 [41728/48750]	Loss: 1.1544	LR: 0.100000
Training Epoch: 2 [41984/48750]	Loss: 0.9998	LR: 0.100000
Training Epoch: 2 [42240/48750]	Loss: 1.1467	LR: 0.100000
Training Epoch: 2 [42496/48750]	Loss: 0.9027	LR: 0.100000
Training Epoch: 2 [42752/48750]	Loss: 1.0941	LR: 0.100000
Training Epoch: 2 [43008/48750]	Loss: 1.0581	LR: 0.100000
Training Epoch: 2 [43264/48750]	Loss: 1.2068	LR: 0.100000
Training Epoch: 2 [43520/48750]	Loss: 0.9617	LR: 0.100000
Training Epoch: 2 [43776/48750]	Loss: 1.0076	LR: 0.100000
Training Epoch: 2 [44032/48750]	Loss: 0.9484	LR: 0.100000
Training Epoch: 2 [44288/48750]	Loss: 1.1382	LR: 0.100000
Training Epoch: 2 [44544/48750]	Loss: 1.0917	LR: 0.100000
Training Epoch: 2 [44800/48750]	Loss: 0.9474	LR: 0.100000
Training Epoch: 2 [45056/48750]	Loss: 1.0352	LR: 0.100000
Training Epoch: 2 [45312/48750]	Loss: 0.9725	LR: 0.100000
Training Epoch: 2 [45568/48750]	Loss: 0.9860	LR: 0.100000
Training Epoch: 2 [45824/48750]	Loss: 1.1128	LR: 0.100000
Training Epoch: 2 [46080/48750]	Loss: 0.9453	LR: 0.100000
Training Epoch: 2 [46336/48750]	Loss: 0.9836	LR: 0.100000
Training Epoch: 2 [46592/48750]	Loss: 1.0688	LR: 0.100000
Training Epoch: 2 [46848/48750]	Loss: 1.1486	LR: 0.100000
Training Epoch: 2 [47104/48750]	Loss: 1.0185	LR: 0.100000
Training Epoch: 2 [47360/48750]	Loss: 1.0452	LR: 0.100000
Training Epoch: 2 [47616/48750]	Loss: 1.0959	LR: 0.100000
Training Epoch: 2 [47872/48750]	Loss: 1.0823	LR: 0.100000
Training Epoch: 2 [48128/48750]	Loss: 1.1261	LR: 0.100000
Training Epoch: 2 [48384/48750]	Loss: 1.0500	LR: 0.100000
Training Epoch: 2 [48640/48750]	Loss: 0.9227	LR: 0.100000
Training Epoch: 2 [48750/48750]	Loss: 1.0630	LR: 0.100000
Epoch 2 - Average Train Loss: 1.2050, Train Accuracy: 0.5694
Epoch 2 training time consumed: 29.75s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0042, Accuracy: 0.6254, Time consumed:1.02s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_20h_07m_11s/ResNet18-Cifar10-seed4-ret75-2-best.pth
Training Epoch: 3 [256/48750]	Loss: 1.0806	LR: 0.100000
Training Epoch: 3 [512/48750]	Loss: 1.0891	LR: 0.100000
Training Epoch: 3 [768/48750]	Loss: 0.9704	LR: 0.100000
Training Epoch: 3 [1024/48750]	Loss: 1.0528	LR: 0.100000
Training Epoch: 3 [1280/48750]	Loss: 1.0457	LR: 0.100000
Training Epoch: 3 [1536/48750]	Loss: 0.9541	LR: 0.100000
Training Epoch: 3 [1792/48750]	Loss: 1.0080	LR: 0.100000
Training Epoch: 3 [2048/48750]	Loss: 0.9799	LR: 0.100000
Training Epoch: 3 [2304/48750]	Loss: 1.0016	LR: 0.100000
Training Epoch: 3 [2560/48750]	Loss: 1.0621	LR: 0.100000
Training Epoch: 3 [2816/48750]	Loss: 0.9825	LR: 0.100000
Training Epoch: 3 [3072/48750]	Loss: 1.0254	LR: 0.100000
Training Epoch: 3 [3328/48750]	Loss: 1.0765	LR: 0.100000
Training Epoch: 3 [3584/48750]	Loss: 0.9886	LR: 0.100000
Training Epoch: 3 [3840/48750]	Loss: 1.0335	LR: 0.100000
Training Epoch: 3 [4096/48750]	Loss: 0.8400	LR: 0.100000
Training Epoch: 3 [4352/48750]	Loss: 0.9905	LR: 0.100000
Training Epoch: 3 [4608/48750]	Loss: 1.0862	LR: 0.100000
Training Epoch: 3 [4864/48750]	Loss: 0.9249	LR: 0.100000
Training Epoch: 3 [5120/48750]	Loss: 1.0054	LR: 0.100000
Training Epoch: 3 [5376/48750]	Loss: 0.9996	LR: 0.100000
Training Epoch: 3 [5632/48750]	Loss: 0.8598	LR: 0.100000
Training Epoch: 3 [5888/48750]	Loss: 0.8414	LR: 0.100000
Training Epoch: 3 [6144/48750]	Loss: 1.1008	LR: 0.100000
Training Epoch: 3 [6400/48750]	Loss: 0.8315	LR: 0.100000
Training Epoch: 3 [6656/48750]	Loss: 0.9710	LR: 0.100000
Training Epoch: 3 [6912/48750]	Loss: 1.0952	LR: 0.100000
Training Epoch: 3 [7168/48750]	Loss: 0.8784	LR: 0.100000
Training Epoch: 3 [7424/48750]	Loss: 1.1045	LR: 0.100000
Training Epoch: 3 [7680/48750]	Loss: 0.9908	LR: 0.100000
Training Epoch: 3 [7936/48750]	Loss: 0.9638	LR: 0.100000
Training Epoch: 3 [8192/48750]	Loss: 0.9620	LR: 0.100000
Training Epoch: 3 [8448/48750]	Loss: 0.9528	LR: 0.100000
Training Epoch: 3 [8704/48750]	Loss: 1.0454	LR: 0.100000
Training Epoch: 3 [8960/48750]	Loss: 1.1320	LR: 0.100000
Training Epoch: 3 [9216/48750]	Loss: 0.9331	LR: 0.100000
Training Epoch: 3 [9472/48750]	Loss: 1.0561	LR: 0.100000
Training Epoch: 3 [9728/48750]	Loss: 1.0898	LR: 0.100000
Training Epoch: 3 [9984/48750]	Loss: 1.0307	LR: 0.100000
Training Epoch: 3 [10240/48750]	Loss: 0.9492	LR: 0.100000
Training Epoch: 3 [10496/48750]	Loss: 1.0193	LR: 0.100000
Training Epoch: 3 [10752/48750]	Loss: 0.9143	LR: 0.100000
Training Epoch: 3 [11008/48750]	Loss: 0.9853	LR: 0.100000
Training Epoch: 3 [11264/48750]	Loss: 1.1473	LR: 0.100000
Training Epoch: 3 [11520/48750]	Loss: 1.0259	LR: 0.100000
Training Epoch: 3 [11776/48750]	Loss: 0.9551	LR: 0.100000
Training Epoch: 3 [12032/48750]	Loss: 0.9832	LR: 0.100000
Training Epoch: 3 [12288/48750]	Loss: 1.0495	LR: 0.100000
Training Epoch: 3 [12544/48750]	Loss: 1.0508	LR: 0.100000
Training Epoch: 3 [12800/48750]	Loss: 0.8208	LR: 0.100000
Training Epoch: 3 [13056/48750]	Loss: 0.9544	LR: 0.100000
Training Epoch: 3 [13312/48750]	Loss: 0.9127	LR: 0.100000
Training Epoch: 3 [13568/48750]	Loss: 0.9722	LR: 0.100000
Training Epoch: 3 [13824/48750]	Loss: 1.0811	LR: 0.100000
Training Epoch: 3 [14080/48750]	Loss: 0.9735	LR: 0.100000
Training Epoch: 3 [14336/48750]	Loss: 0.8397	LR: 0.100000
Training Epoch: 3 [14592/48750]	Loss: 1.0735	LR: 0.100000
Training Epoch: 3 [14848/48750]	Loss: 0.9728	LR: 0.100000
Training Epoch: 3 [15104/48750]	Loss: 0.8849	LR: 0.100000
Training Epoch: 3 [15360/48750]	Loss: 0.9109	LR: 0.100000
Training Epoch: 3 [15616/48750]	Loss: 0.9328	LR: 0.100000
Training Epoch: 3 [15872/48750]	Loss: 1.0723	LR: 0.100000
Training Epoch: 3 [16128/48750]	Loss: 0.9046	LR: 0.100000
Training Epoch: 3 [16384/48750]	Loss: 0.8650	LR: 0.100000
Training Epoch: 3 [16640/48750]	Loss: 0.9097	LR: 0.100000
Training Epoch: 3 [16896/48750]	Loss: 1.0724	LR: 0.100000
Training Epoch: 3 [17152/48750]	Loss: 1.0102	LR: 0.100000
Training Epoch: 3 [17408/48750]	Loss: 0.8945	LR: 0.100000
Training Epoch: 3 [17664/48750]	Loss: 1.0559	LR: 0.100000
Training Epoch: 3 [17920/48750]	Loss: 0.9533	LR: 0.100000
Training Epoch: 3 [18176/48750]	Loss: 1.0201	LR: 0.100000
Training Epoch: 3 [18432/48750]	Loss: 0.9044	LR: 0.100000
Training Epoch: 3 [18688/48750]	Loss: 0.9771	LR: 0.100000
Training Epoch: 3 [18944/48750]	Loss: 0.9506	LR: 0.100000
Training Epoch: 3 [19200/48750]	Loss: 1.0024	LR: 0.100000
Training Epoch: 3 [19456/48750]	Loss: 0.9603	LR: 0.100000
Training Epoch: 3 [19712/48750]	Loss: 1.0350	LR: 0.100000
Training Epoch: 3 [19968/48750]	Loss: 1.0324	LR: 0.100000
Training Epoch: 3 [20224/48750]	Loss: 1.0857	LR: 0.100000
Training Epoch: 3 [20480/48750]	Loss: 1.0273	LR: 0.100000
Training Epoch: 3 [20736/48750]	Loss: 1.0196	LR: 0.100000
Training Epoch: 3 [20992/48750]	Loss: 1.0082	LR: 0.100000
Training Epoch: 3 [21248/48750]	Loss: 1.0047	LR: 0.100000
Training Epoch: 3 [21504/48750]	Loss: 0.8631	LR: 0.100000
Training Epoch: 3 [21760/48750]	Loss: 1.0495	LR: 0.100000
Training Epoch: 3 [22016/48750]	Loss: 1.0207	LR: 0.100000
Training Epoch: 3 [22272/48750]	Loss: 1.0467	LR: 0.100000
Training Epoch: 3 [22528/48750]	Loss: 0.8546	LR: 0.100000
Training Epoch: 3 [22784/48750]	Loss: 0.9572	LR: 0.100000
Training Epoch: 3 [23040/48750]	Loss: 0.7929	LR: 0.100000
Training Epoch: 3 [23296/48750]	Loss: 0.9808	LR: 0.100000
Training Epoch: 3 [23552/48750]	Loss: 0.9628	LR: 0.100000
Training Epoch: 3 [23808/48750]	Loss: 0.8826	LR: 0.100000
Training Epoch: 3 [24064/48750]	Loss: 0.9719	LR: 0.100000
Training Epoch: 3 [24320/48750]	Loss: 1.0991	LR: 0.100000
Training Epoch: 3 [24576/48750]	Loss: 0.9940	LR: 0.100000
Training Epoch: 3 [24832/48750]	Loss: 0.9855	LR: 0.100000
Training Epoch: 3 [25088/48750]	Loss: 0.9671	LR: 0.100000
Training Epoch: 3 [25344/48750]	Loss: 0.9748	LR: 0.100000
Training Epoch: 3 [25600/48750]	Loss: 1.0481	LR: 0.100000
Training Epoch: 3 [25856/48750]	Loss: 0.8943	LR: 0.100000
Training Epoch: 3 [26112/48750]	Loss: 0.9251	LR: 0.100000
Training Epoch: 3 [26368/48750]	Loss: 0.9820	LR: 0.100000
Training Epoch: 3 [26624/48750]	Loss: 0.9399	LR: 0.100000
Training Epoch: 3 [26880/48750]	Loss: 0.9141	LR: 0.100000
Training Epoch: 3 [27136/48750]	Loss: 0.9808	LR: 0.100000
Training Epoch: 3 [27392/48750]	Loss: 0.8417	LR: 0.100000
Training Epoch: 3 [27648/48750]	Loss: 1.0025	LR: 0.100000
Training Epoch: 3 [27904/48750]	Loss: 0.8622	LR: 0.100000
Training Epoch: 3 [28160/48750]	Loss: 0.9564	LR: 0.100000
Training Epoch: 3 [28416/48750]	Loss: 0.8929	LR: 0.100000
Training Epoch: 3 [28672/48750]	Loss: 0.7981	LR: 0.100000
Training Epoch: 3 [28928/48750]	Loss: 0.9115	LR: 0.100000
Training Epoch: 3 [29184/48750]	Loss: 0.8586	LR: 0.100000
Training Epoch: 3 [29440/48750]	Loss: 0.9162	LR: 0.100000
Training Epoch: 3 [29696/48750]	Loss: 0.8864	LR: 0.100000
Training Epoch: 3 [29952/48750]	Loss: 0.7807	LR: 0.100000
Training Epoch: 3 [30208/48750]	Loss: 0.8735	LR: 0.100000
Training Epoch: 3 [30464/48750]	Loss: 0.8377	LR: 0.100000
Training Epoch: 3 [30720/48750]	Loss: 0.8198	LR: 0.100000
Training Epoch: 3 [30976/48750]	Loss: 0.8644	LR: 0.100000
Training Epoch: 3 [31232/48750]	Loss: 0.9505	LR: 0.100000
Training Epoch: 3 [31488/48750]	Loss: 0.8780	LR: 0.100000
Training Epoch: 3 [31744/48750]	Loss: 0.8126	LR: 0.100000
Training Epoch: 3 [32000/48750]	Loss: 0.9393	LR: 0.100000
Training Epoch: 3 [32256/48750]	Loss: 0.9445	LR: 0.100000
Training Epoch: 3 [32512/48750]	Loss: 0.9103	LR: 0.100000
Training Epoch: 3 [32768/48750]	Loss: 0.9188	LR: 0.100000
Training Epoch: 3 [33024/48750]	Loss: 0.8883	LR: 0.100000
Training Epoch: 3 [33280/48750]	Loss: 0.8318	LR: 0.100000
Training Epoch: 3 [33536/48750]	Loss: 1.0284	LR: 0.100000
Training Epoch: 3 [33792/48750]	Loss: 0.8778	LR: 0.100000
Training Epoch: 3 [34048/48750]	Loss: 0.8395	LR: 0.100000
Training Epoch: 3 [34304/48750]	Loss: 0.8856	LR: 0.100000
Training Epoch: 3 [34560/48750]	Loss: 0.7722	LR: 0.100000
Training Epoch: 3 [34816/48750]	Loss: 0.8751	LR: 0.100000
Training Epoch: 3 [35072/48750]	Loss: 1.0269	LR: 0.100000
Training Epoch: 3 [35328/48750]	Loss: 0.9375	LR: 0.100000
Training Epoch: 3 [35584/48750]	Loss: 1.0015	LR: 0.100000
Training Epoch: 3 [35840/48750]	Loss: 0.8349	LR: 0.100000
Training Epoch: 3 [36096/48750]	Loss: 0.9484	LR: 0.100000
Training Epoch: 3 [36352/48750]	Loss: 0.9695	LR: 0.100000
Training Epoch: 3 [36608/48750]	Loss: 0.8397	LR: 0.100000
Training Epoch: 3 [36864/48750]	Loss: 0.8672	LR: 0.100000
Training Epoch: 3 [37120/48750]	Loss: 0.9502	LR: 0.100000
Training Epoch: 3 [37376/48750]	Loss: 0.8381	LR: 0.100000
Training Epoch: 3 [37632/48750]	Loss: 0.8485	LR: 0.100000
Training Epoch: 3 [37888/48750]	Loss: 0.9236	LR: 0.100000
Training Epoch: 3 [38144/48750]	Loss: 0.8202	LR: 0.100000
Training Epoch: 3 [38400/48750]	Loss: 0.8180	LR: 0.100000
Training Epoch: 3 [38656/48750]	Loss: 0.7537	LR: 0.100000
Training Epoch: 3 [38912/48750]	Loss: 0.9011	LR: 0.100000
Training Epoch: 3 [39168/48750]	Loss: 0.8216	LR: 0.100000
Training Epoch: 3 [39424/48750]	Loss: 0.7517	LR: 0.100000
Training Epoch: 3 [39680/48750]	Loss: 0.7457	LR: 0.100000
Training Epoch: 3 [39936/48750]	Loss: 0.8424	LR: 0.100000
Training Epoch: 3 [40192/48750]	Loss: 0.9973	LR: 0.100000
Training Epoch: 3 [40448/48750]	Loss: 0.8408	LR: 0.100000
Training Epoch: 3 [40704/48750]	Loss: 0.9479	LR: 0.100000
Training Epoch: 3 [40960/48750]	Loss: 0.8792	LR: 0.100000
Training Epoch: 3 [41216/48750]	Loss: 0.9271	LR: 0.100000
Training Epoch: 3 [41472/48750]	Loss: 0.9743	LR: 0.100000
Training Epoch: 3 [41728/48750]	Loss: 0.9036	LR: 0.100000
Training Epoch: 3 [41984/48750]	Loss: 0.8593	LR: 0.100000
Training Epoch: 3 [42240/48750]	Loss: 0.8456	LR: 0.100000
Training Epoch: 3 [42496/48750]	Loss: 0.9713	LR: 0.100000
Training Epoch: 3 [42752/48750]	Loss: 0.7581	LR: 0.100000
Training Epoch: 3 [43008/48750]	Loss: 0.6971	LR: 0.100000
Training Epoch: 3 [43264/48750]	Loss: 0.9195	LR: 0.100000
Training Epoch: 3 [43520/48750]	Loss: 0.9317	LR: 0.100000
Training Epoch: 3 [43776/48750]	Loss: 0.8666	LR: 0.100000
Training Epoch: 3 [44032/48750]	Loss: 0.8389	LR: 0.100000
Training Epoch: 3 [44288/48750]	Loss: 0.8634	LR: 0.100000
Training Epoch: 3 [44544/48750]	Loss: 0.8121	LR: 0.100000
Training Epoch: 3 [44800/48750]	Loss: 0.8315	LR: 0.100000
Training Epoch: 3 [45056/48750]	Loss: 0.7184	LR: 0.100000
Training Epoch: 3 [45312/48750]	Loss: 0.8310	LR: 0.100000
Training Epoch: 3 [45568/48750]	Loss: 0.8944	LR: 0.100000
Training Epoch: 3 [45824/48750]	Loss: 0.9698	LR: 0.100000
Training Epoch: 3 [46080/48750]	Loss: 0.7821	LR: 0.100000
Training Epoch: 3 [46336/48750]	Loss: 0.9257	LR: 0.100000
Training Epoch: 3 [46592/48750]	Loss: 0.7842	LR: 0.100000
Training Epoch: 3 [46848/48750]	Loss: 0.8501	LR: 0.100000
Training Epoch: 3 [47104/48750]	Loss: 0.8263	LR: 0.100000
Training Epoch: 3 [47360/48750]	Loss: 0.8915	LR: 0.100000
Training Epoch: 3 [47616/48750]	Loss: 0.6190	LR: 0.100000
Training Epoch: 3 [47872/48750]	Loss: 0.8343	LR: 0.100000
Training Epoch: 3 [48128/48750]	Loss: 0.8383	LR: 0.100000
Training Epoch: 3 [48384/48750]	Loss: 0.8607	LR: 0.100000
Training Epoch: 3 [48640/48750]	Loss: 0.9028	LR: 0.100000
Training Epoch: 3 [48750/48750]	Loss: 1.0598	LR: 0.100000
Epoch 3 - Average Train Loss: 0.9339, Train Accuracy: 0.6694
Epoch 3 training time consumed: 29.66s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0033, Accuracy: 0.7114, Time consumed:1.00s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_20h_07m_11s/ResNet18-Cifar10-seed4-ret75-3-best.pth
Training Epoch: 4 [256/48750]	Loss: 0.9719	LR: 0.100000
Training Epoch: 4 [512/48750]	Loss: 0.8822	LR: 0.100000
Training Epoch: 4 [768/48750]	Loss: 0.9144	LR: 0.100000
Training Epoch: 4 [1024/48750]	Loss: 0.8896	LR: 0.100000
Training Epoch: 4 [1280/48750]	Loss: 0.8834	LR: 0.100000
Training Epoch: 4 [1536/48750]	Loss: 0.8993	LR: 0.100000
Training Epoch: 4 [1792/48750]	Loss: 0.8625	LR: 0.100000
Training Epoch: 4 [2048/48750]	Loss: 0.8637	LR: 0.100000
Training Epoch: 4 [2304/48750]	Loss: 0.8981	LR: 0.100000
Training Epoch: 4 [2560/48750]	Loss: 0.9147	LR: 0.100000
Training Epoch: 4 [2816/48750]	Loss: 0.9122	LR: 0.100000
Training Epoch: 4 [3072/48750]	Loss: 0.7332	LR: 0.100000
Training Epoch: 4 [3328/48750]	Loss: 0.8488	LR: 0.100000
Training Epoch: 4 [3584/48750]	Loss: 0.9773	LR: 0.100000
Training Epoch: 4 [3840/48750]	Loss: 0.8739	LR: 0.100000
Training Epoch: 4 [4096/48750]	Loss: 0.8965	LR: 0.100000
Training Epoch: 4 [4352/48750]	Loss: 0.7609	LR: 0.100000
Training Epoch: 4 [4608/48750]	Loss: 0.7792	LR: 0.100000
Training Epoch: 4 [4864/48750]	Loss: 0.8110	LR: 0.100000
Training Epoch: 4 [5120/48750]	Loss: 0.9231	LR: 0.100000
Training Epoch: 4 [5376/48750]	Loss: 0.8882	LR: 0.100000
Training Epoch: 4 [5632/48750]	Loss: 0.7427	LR: 0.100000
Training Epoch: 4 [5888/48750]	Loss: 0.9555	LR: 0.100000
Training Epoch: 4 [6144/48750]	Loss: 0.8796	LR: 0.100000
Training Epoch: 4 [6400/48750]	Loss: 0.8269	LR: 0.100000
Training Epoch: 4 [6656/48750]	Loss: 0.8437	LR: 0.100000
Training Epoch: 4 [6912/48750]	Loss: 0.9336	LR: 0.100000
Training Epoch: 4 [7168/48750]	Loss: 0.8574	LR: 0.100000
Training Epoch: 4 [7424/48750]	Loss: 0.8884	LR: 0.100000
Training Epoch: 4 [7680/48750]	Loss: 0.8798	LR: 0.100000
Training Epoch: 4 [7936/48750]	Loss: 0.9560	LR: 0.100000
Training Epoch: 4 [8192/48750]	Loss: 1.0048	LR: 0.100000
Training Epoch: 4 [8448/48750]	Loss: 0.9658	LR: 0.100000
Training Epoch: 4 [8704/48750]	Loss: 0.9135	LR: 0.100000
Training Epoch: 4 [8960/48750]	Loss: 0.8455	LR: 0.100000
Training Epoch: 4 [9216/48750]	Loss: 1.0846	LR: 0.100000
Training Epoch: 4 [9472/48750]	Loss: 0.9079	LR: 0.100000
Training Epoch: 4 [9728/48750]	Loss: 0.8279	LR: 0.100000
Training Epoch: 4 [9984/48750]	Loss: 0.9449	LR: 0.100000
Training Epoch: 4 [10240/48750]	Loss: 0.8789	LR: 0.100000
Training Epoch: 4 [10496/48750]	Loss: 0.8506	LR: 0.100000
Training Epoch: 4 [10752/48750]	Loss: 0.9544	LR: 0.100000
Training Epoch: 4 [11008/48750]	Loss: 0.8264	LR: 0.100000
Training Epoch: 4 [11264/48750]	Loss: 0.8495	LR: 0.100000
Training Epoch: 4 [11520/48750]	Loss: 0.8127	LR: 0.100000
Training Epoch: 4 [11776/48750]	Loss: 0.7798	LR: 0.100000
Training Epoch: 4 [12032/48750]	Loss: 0.7545	LR: 0.100000
Training Epoch: 4 [12288/48750]	Loss: 0.8700	LR: 0.100000
Training Epoch: 4 [12544/48750]	Loss: 0.7450	LR: 0.100000
Training Epoch: 4 [12800/48750]	Loss: 0.7454	LR: 0.100000
Training Epoch: 4 [13056/48750]	Loss: 0.9509	LR: 0.100000
Training Epoch: 4 [13312/48750]	Loss: 0.9369	LR: 0.100000
Training Epoch: 4 [13568/48750]	Loss: 0.8997	LR: 0.100000
Training Epoch: 4 [13824/48750]	Loss: 0.7451	LR: 0.100000
Training Epoch: 4 [14080/48750]	Loss: 0.8975	LR: 0.100000
Training Epoch: 4 [14336/48750]	Loss: 0.8765	LR: 0.100000
Training Epoch: 4 [14592/48750]	Loss: 0.7500	LR: 0.100000
Training Epoch: 4 [14848/48750]	Loss: 0.7341	LR: 0.100000
Training Epoch: 4 [15104/48750]	Loss: 0.7125	LR: 0.100000
Training Epoch: 4 [15360/48750]	Loss: 0.6964	LR: 0.100000
Training Epoch: 4 [15616/48750]	Loss: 0.8179	LR: 0.100000
Training Epoch: 4 [15872/48750]	Loss: 0.8872	LR: 0.100000
Training Epoch: 4 [16128/48750]	Loss: 0.8759	LR: 0.100000
Training Epoch: 4 [16384/48750]	Loss: 0.8466	LR: 0.100000
Training Epoch: 4 [16640/48750]	Loss: 0.7931	LR: 0.100000
Training Epoch: 4 [16896/48750]	Loss: 0.8714	LR: 0.100000
Training Epoch: 4 [17152/48750]	Loss: 0.8699	LR: 0.100000
Training Epoch: 4 [17408/48750]	Loss: 0.8803	LR: 0.100000
Training Epoch: 4 [17664/48750]	Loss: 0.8804	LR: 0.100000
Training Epoch: 4 [17920/48750]	Loss: 0.7523	LR: 0.100000
Training Epoch: 4 [18176/48750]	Loss: 0.7458	LR: 0.100000
Training Epoch: 4 [18432/48750]	Loss: 0.8418	LR: 0.100000
Training Epoch: 4 [18688/48750]	Loss: 0.8845	LR: 0.100000
Training Epoch: 4 [18944/48750]	Loss: 0.9276	LR: 0.100000
Training Epoch: 4 [19200/48750]	Loss: 0.7324	LR: 0.100000
Training Epoch: 4 [19456/48750]	Loss: 0.8048	LR: 0.100000
Training Epoch: 4 [19712/48750]	Loss: 0.9353	LR: 0.100000
Training Epoch: 4 [19968/48750]	Loss: 0.9515	LR: 0.100000
Training Epoch: 4 [20224/48750]	Loss: 0.8795	LR: 0.100000
Training Epoch: 4 [20480/48750]	Loss: 0.7221	LR: 0.100000
Training Epoch: 4 [20736/48750]	Loss: 0.7253	LR: 0.100000
Training Epoch: 4 [20992/48750]	Loss: 1.0007	LR: 0.100000
Training Epoch: 4 [21248/48750]	Loss: 1.0306	LR: 0.100000
Training Epoch: 4 [21504/48750]	Loss: 0.9518	LR: 0.100000
Training Epoch: 4 [21760/48750]	Loss: 0.7388	LR: 0.100000
Training Epoch: 4 [22016/48750]	Loss: 0.7911	LR: 0.100000
Training Epoch: 4 [22272/48750]	Loss: 0.7733	LR: 0.100000
Training Epoch: 4 [22528/48750]	Loss: 0.8552	LR: 0.100000
Training Epoch: 4 [22784/48750]	Loss: 0.7310	LR: 0.100000
Training Epoch: 4 [23040/48750]	Loss: 0.7331	LR: 0.100000
Training Epoch: 4 [23296/48750]	Loss: 0.7868	LR: 0.100000
Training Epoch: 4 [23552/48750]	Loss: 0.7758	LR: 0.100000
Training Epoch: 4 [23808/48750]	Loss: 0.6882	LR: 0.100000
Training Epoch: 4 [24064/48750]	Loss: 0.7023	LR: 0.100000
Training Epoch: 4 [24320/48750]	Loss: 0.9160	LR: 0.100000
Training Epoch: 4 [24576/48750]	Loss: 0.8960	LR: 0.100000
Training Epoch: 4 [24832/48750]	Loss: 0.8142	LR: 0.100000
Training Epoch: 4 [25088/48750]	Loss: 0.7590	LR: 0.100000
Training Epoch: 4 [25344/48750]	Loss: 0.7643	LR: 0.100000
Training Epoch: 4 [25600/48750]	Loss: 0.8891	LR: 0.100000
Training Epoch: 4 [25856/48750]	Loss: 0.8546	LR: 0.100000
Training Epoch: 4 [26112/48750]	Loss: 0.7978	LR: 0.100000
Training Epoch: 4 [26368/48750]	Loss: 0.7504	LR: 0.100000
Training Epoch: 4 [26624/48750]	Loss: 0.8726	LR: 0.100000
Training Epoch: 4 [26880/48750]	Loss: 0.7227	LR: 0.100000
Training Epoch: 4 [27136/48750]	Loss: 0.7064	LR: 0.100000
Training Epoch: 4 [27392/48750]	Loss: 0.8042	LR: 0.100000
Training Epoch: 4 [27648/48750]	Loss: 0.7075	LR: 0.100000
Training Epoch: 4 [27904/48750]	Loss: 0.8409	LR: 0.100000
Training Epoch: 4 [28160/48750]	Loss: 0.7353	LR: 0.100000
Training Epoch: 4 [28416/48750]	Loss: 0.7509	LR: 0.100000
Training Epoch: 4 [28672/48750]	Loss: 0.7827	LR: 0.100000
Training Epoch: 4 [28928/48750]	Loss: 0.6018	LR: 0.100000
Training Epoch: 4 [29184/48750]	Loss: 0.7379	LR: 0.100000
Training Epoch: 4 [29440/48750]	Loss: 0.7526	LR: 0.100000
Training Epoch: 4 [29696/48750]	Loss: 0.8873	LR: 0.100000
Training Epoch: 4 [29952/48750]	Loss: 0.7790	LR: 0.100000
Training Epoch: 4 [30208/48750]	Loss: 0.8112	LR: 0.100000
Training Epoch: 4 [30464/48750]	Loss: 0.7495	LR: 0.100000
Training Epoch: 4 [30720/48750]	Loss: 0.7465	LR: 0.100000
Training Epoch: 4 [30976/48750]	Loss: 0.6965	LR: 0.100000
Training Epoch: 4 [31232/48750]	Loss: 0.8011	LR: 0.100000
Training Epoch: 4 [31488/48750]	Loss: 0.8361	LR: 0.100000
Training Epoch: 4 [31744/48750]	Loss: 0.7337	LR: 0.100000
Training Epoch: 4 [32000/48750]	Loss: 0.7838	LR: 0.100000
Training Epoch: 4 [32256/48750]	Loss: 0.8206	LR: 0.100000
Training Epoch: 4 [32512/48750]	Loss: 0.7655	LR: 0.100000
Training Epoch: 4 [32768/48750]	Loss: 0.7621	LR: 0.100000
Training Epoch: 4 [33024/48750]	Loss: 0.6999	LR: 0.100000
Training Epoch: 4 [33280/48750]	Loss: 0.8141	LR: 0.100000
Training Epoch: 4 [33536/48750]	Loss: 0.9199	LR: 0.100000
Training Epoch: 4 [33792/48750]	Loss: 0.8129	LR: 0.100000
Training Epoch: 4 [34048/48750]	Loss: 0.6436	LR: 0.100000
Training Epoch: 4 [34304/48750]	Loss: 0.7588	LR: 0.100000
Training Epoch: 4 [34560/48750]	Loss: 0.8040	LR: 0.100000
Training Epoch: 4 [34816/48750]	Loss: 0.9998	LR: 0.100000
Training Epoch: 4 [35072/48750]	Loss: 0.9112	LR: 0.100000
Training Epoch: 4 [35328/48750]	Loss: 0.7507	LR: 0.100000
Training Epoch: 4 [35584/48750]	Loss: 0.7146	LR: 0.100000
Training Epoch: 4 [35840/48750]	Loss: 0.7943	LR: 0.100000
Training Epoch: 4 [36096/48750]	Loss: 0.7961	LR: 0.100000
Training Epoch: 4 [36352/48750]	Loss: 0.8303	LR: 0.100000
Training Epoch: 4 [36608/48750]	Loss: 0.7902	LR: 0.100000
Training Epoch: 4 [36864/48750]	Loss: 0.6749	LR: 0.100000
Training Epoch: 4 [37120/48750]	Loss: 0.7413	LR: 0.100000
Training Epoch: 4 [37376/48750]	Loss: 0.6979	LR: 0.100000
Training Epoch: 4 [37632/48750]	Loss: 0.8176	LR: 0.100000
Training Epoch: 4 [37888/48750]	Loss: 0.8407	LR: 0.100000
Training Epoch: 4 [38144/48750]	Loss: 0.8102	LR: 0.100000
Training Epoch: 4 [38400/48750]	Loss: 0.7871	LR: 0.100000
Training Epoch: 4 [38656/48750]	Loss: 0.8123	LR: 0.100000
Training Epoch: 4 [38912/48750]	Loss: 0.7380	LR: 0.100000
Training Epoch: 4 [39168/48750]	Loss: 0.7682	LR: 0.100000
Training Epoch: 4 [39424/48750]	Loss: 0.7679	LR: 0.100000
Training Epoch: 4 [39680/48750]	Loss: 0.6202	LR: 0.100000
Training Epoch: 4 [39936/48750]	Loss: 0.8865	LR: 0.100000
Training Epoch: 4 [40192/48750]	Loss: 0.7718	LR: 0.100000
Training Epoch: 4 [40448/48750]	Loss: 0.8702	LR: 0.100000
Training Epoch: 4 [40704/48750]	Loss: 0.6837	LR: 0.100000
Training Epoch: 4 [40960/48750]	Loss: 0.7150	LR: 0.100000
Training Epoch: 4 [41216/48750]	Loss: 0.9096	LR: 0.100000
Training Epoch: 4 [41472/48750]	Loss: 0.8516	LR: 0.100000
Training Epoch: 4 [41728/48750]	Loss: 0.7919	LR: 0.100000
Training Epoch: 4 [41984/48750]	Loss: 0.8182	LR: 0.100000
Training Epoch: 4 [42240/48750]	Loss: 0.6912	LR: 0.100000
Training Epoch: 4 [42496/48750]	Loss: 0.7067	LR: 0.100000
Training Epoch: 4 [42752/48750]	Loss: 0.8013	LR: 0.100000
Training Epoch: 4 [43008/48750]	Loss: 0.8027	LR: 0.100000
Training Epoch: 4 [43264/48750]	Loss: 0.7017	LR: 0.100000
Training Epoch: 4 [43520/48750]	Loss: 0.7409	LR: 0.100000
Training Epoch: 4 [43776/48750]	Loss: 0.8388	LR: 0.100000
Training Epoch: 4 [44032/48750]	Loss: 0.7523	LR: 0.100000
Training Epoch: 4 [44288/48750]	Loss: 0.6587	LR: 0.100000
Training Epoch: 4 [44544/48750]	Loss: 0.7308	LR: 0.100000
Training Epoch: 4 [44800/48750]	Loss: 0.7510	LR: 0.100000
Training Epoch: 4 [45056/48750]	Loss: 0.8003	LR: 0.100000
Training Epoch: 4 [45312/48750]	Loss: 0.6555	LR: 0.100000
Training Epoch: 4 [45568/48750]	Loss: 0.7068	LR: 0.100000
Training Epoch: 4 [45824/48750]	Loss: 0.7989	LR: 0.100000
Training Epoch: 4 [46080/48750]	Loss: 0.8470	LR: 0.100000
Training Epoch: 4 [46336/48750]	Loss: 0.7223	LR: 0.100000
Training Epoch: 4 [46592/48750]	Loss: 0.8519	LR: 0.100000
Training Epoch: 4 [46848/48750]	Loss: 0.7813	LR: 0.100000
Training Epoch: 4 [47104/48750]	Loss: 0.6909	LR: 0.100000
Training Epoch: 4 [47360/48750]	Loss: 0.6802	LR: 0.100000
Training Epoch: 4 [47616/48750]	Loss: 0.6292	LR: 0.100000
Training Epoch: 4 [47872/48750]	Loss: 0.6347	LR: 0.100000
Training Epoch: 4 [48128/48750]	Loss: 0.6616	LR: 0.100000
Training Epoch: 4 [48384/48750]	Loss: 0.6316	LR: 0.100000
Training Epoch: 4 [48640/48750]	Loss: 0.7436	LR: 0.100000
Training Epoch: 4 [48750/48750]	Loss: 0.7150	LR: 0.100000
Epoch 4 - Average Train Loss: 0.8111, Train Accuracy: 0.7160
Epoch 4 training time consumed: 30.18s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0030, Accuracy: 0.7390, Time consumed:1.02s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_20h_07m_11s/ResNet18-Cifar10-seed4-ret75-4-best.pth
Training Epoch: 5 [256/48750]	Loss: 0.7740	LR: 0.100000
Training Epoch: 5 [512/48750]	Loss: 0.7442	LR: 0.100000
Training Epoch: 5 [768/48750]	Loss: 0.7927	LR: 0.100000
Training Epoch: 5 [1024/48750]	Loss: 0.8570	LR: 0.100000
Training Epoch: 5 [1280/48750]	Loss: 0.6716	LR: 0.100000
Training Epoch: 5 [1536/48750]	Loss: 0.7355	LR: 0.100000
Training Epoch: 5 [1792/48750]	Loss: 0.6875	LR: 0.100000
Training Epoch: 5 [2048/48750]	Loss: 0.7938	LR: 0.100000
Training Epoch: 5 [2304/48750]	Loss: 0.7121	LR: 0.100000
Training Epoch: 5 [2560/48750]	Loss: 0.7138	LR: 0.100000
Training Epoch: 5 [2816/48750]	Loss: 0.6464	LR: 0.100000
Training Epoch: 5 [3072/48750]	Loss: 0.6430	LR: 0.100000
Training Epoch: 5 [3328/48750]	Loss: 0.7359	LR: 0.100000
Training Epoch: 5 [3584/48750]	Loss: 0.7060	LR: 0.100000
Training Epoch: 5 [3840/48750]	Loss: 0.7893	LR: 0.100000
Training Epoch: 5 [4096/48750]	Loss: 0.6332	LR: 0.100000
Training Epoch: 5 [4352/48750]	Loss: 0.8535	LR: 0.100000
Training Epoch: 5 [4608/48750]	Loss: 0.6348	LR: 0.100000
Training Epoch: 5 [4864/48750]	Loss: 0.7425	LR: 0.100000
Training Epoch: 5 [5120/48750]	Loss: 0.7361	LR: 0.100000
Training Epoch: 5 [5376/48750]	Loss: 0.7119	LR: 0.100000
Training Epoch: 5 [5632/48750]	Loss: 0.6432	LR: 0.100000
Training Epoch: 5 [5888/48750]	Loss: 0.8321	LR: 0.100000
Training Epoch: 5 [6144/48750]	Loss: 0.7529	LR: 0.100000
Training Epoch: 5 [6400/48750]	Loss: 0.7276	LR: 0.100000
Training Epoch: 5 [6656/48750]	Loss: 0.7232	LR: 0.100000
Training Epoch: 5 [6912/48750]	Loss: 0.7732	LR: 0.100000
Training Epoch: 5 [7168/48750]	Loss: 0.6530	LR: 0.100000
Training Epoch: 5 [7424/48750]	Loss: 0.7836	LR: 0.100000
Training Epoch: 5 [7680/48750]	Loss: 0.7823	LR: 0.100000
Training Epoch: 5 [7936/48750]	Loss: 0.6825	LR: 0.100000
Training Epoch: 5 [8192/48750]	Loss: 0.7876	LR: 0.100000
Training Epoch: 5 [8448/48750]	Loss: 0.6747	LR: 0.100000
Training Epoch: 5 [8704/48750]	Loss: 0.7373	LR: 0.100000
Training Epoch: 5 [8960/48750]	Loss: 0.8215	LR: 0.100000
Training Epoch: 5 [9216/48750]	Loss: 0.7385	LR: 0.100000
Training Epoch: 5 [9472/48750]	Loss: 0.7871	LR: 0.100000
Training Epoch: 5 [9728/48750]	Loss: 0.7622	LR: 0.100000
Training Epoch: 5 [9984/48750]	Loss: 0.7561	LR: 0.100000
Training Epoch: 5 [10240/48750]	Loss: 0.6672	LR: 0.100000
Training Epoch: 5 [10496/48750]	Loss: 0.7114	LR: 0.100000
Training Epoch: 5 [10752/48750]	Loss: 0.7382	LR: 0.100000
Training Epoch: 5 [11008/48750]	Loss: 0.6273	LR: 0.100000
Training Epoch: 5 [11264/48750]	Loss: 0.6681	LR: 0.100000
Training Epoch: 5 [11520/48750]	Loss: 0.7018	LR: 0.100000
Training Epoch: 5 [11776/48750]	Loss: 0.7521	LR: 0.100000
Training Epoch: 5 [12032/48750]	Loss: 0.8030	LR: 0.100000
Training Epoch: 5 [12288/48750]	Loss: 0.8340	LR: 0.100000
Training Epoch: 5 [12544/48750]	Loss: 0.6336	LR: 0.100000
Training Epoch: 5 [12800/48750]	Loss: 0.7396	LR: 0.100000
Training Epoch: 5 [13056/48750]	Loss: 0.7108	LR: 0.100000
Training Epoch: 5 [13312/48750]	Loss: 0.6925	LR: 0.100000
Training Epoch: 5 [13568/48750]	Loss: 0.6195	LR: 0.100000
Training Epoch: 5 [13824/48750]	Loss: 0.7705	LR: 0.100000
Training Epoch: 5 [14080/48750]	Loss: 0.6700	LR: 0.100000
Training Epoch: 5 [14336/48750]	Loss: 0.6171	LR: 0.100000
Training Epoch: 5 [14592/48750]	Loss: 0.8020	LR: 0.100000
Training Epoch: 5 [14848/48750]	Loss: 0.6356	LR: 0.100000
Training Epoch: 5 [15104/48750]	Loss: 0.7991	LR: 0.100000
Training Epoch: 5 [15360/48750]	Loss: 0.7149	LR: 0.100000
Training Epoch: 5 [15616/48750]	Loss: 0.6734	LR: 0.100000
Training Epoch: 5 [15872/48750]	Loss: 0.7727	LR: 0.100000
Training Epoch: 5 [16128/48750]	Loss: 0.6838	LR: 0.100000
Training Epoch: 5 [16384/48750]	Loss: 0.6157	LR: 0.100000
Training Epoch: 5 [16640/48750]	Loss: 0.7218	LR: 0.100000
Training Epoch: 5 [16896/48750]	Loss: 0.7317	LR: 0.100000
Training Epoch: 5 [17152/48750]	Loss: 0.6685	LR: 0.100000
Training Epoch: 5 [17408/48750]	Loss: 0.7944	LR: 0.100000
Training Epoch: 5 [17664/48750]	Loss: 0.8963	LR: 0.100000
Training Epoch: 5 [17920/48750]	Loss: 0.8244	LR: 0.100000
Training Epoch: 5 [18176/48750]	Loss: 0.5817	LR: 0.100000
Training Epoch: 5 [18432/48750]	Loss: 0.7567	LR: 0.100000
Training Epoch: 5 [18688/48750]	Loss: 0.6306	LR: 0.100000
Training Epoch: 5 [18944/48750]	Loss: 0.8282	LR: 0.100000
Training Epoch: 5 [19200/48750]	Loss: 0.7050	LR: 0.100000
Training Epoch: 5 [19456/48750]	Loss: 0.8503	LR: 0.100000
Training Epoch: 5 [19712/48750]	Loss: 0.6944	LR: 0.100000
Training Epoch: 5 [19968/48750]	Loss: 0.7265	LR: 0.100000
Training Epoch: 5 [20224/48750]	Loss: 0.6555	LR: 0.100000
Training Epoch: 5 [20480/48750]	Loss: 0.6116	LR: 0.100000
Training Epoch: 5 [20736/48750]	Loss: 0.7548	LR: 0.100000
Training Epoch: 5 [20992/48750]	Loss: 0.8460	LR: 0.100000
Training Epoch: 5 [21248/48750]	Loss: 0.8100	LR: 0.100000
Training Epoch: 5 [21504/48750]	Loss: 0.7123	LR: 0.100000
Training Epoch: 5 [21760/48750]	Loss: 0.6929	LR: 0.100000
Training Epoch: 5 [22016/48750]	Loss: 0.6822	LR: 0.100000
Training Epoch: 5 [22272/48750]	Loss: 0.7948	LR: 0.100000
Training Epoch: 5 [22528/48750]	Loss: 0.7891	LR: 0.100000
Training Epoch: 5 [22784/48750]	Loss: 0.6849	LR: 0.100000
Training Epoch: 5 [23040/48750]	Loss: 0.6163	LR: 0.100000
Training Epoch: 5 [23296/48750]	Loss: 0.7531	LR: 0.100000
Training Epoch: 5 [23552/48750]	Loss: 0.6923	LR: 0.100000
Training Epoch: 5 [23808/48750]	Loss: 0.5519	LR: 0.100000
Training Epoch: 5 [24064/48750]	Loss: 0.6709	LR: 0.100000
Training Epoch: 5 [24320/48750]	Loss: 0.6804	LR: 0.100000
Training Epoch: 5 [24576/48750]	Loss: 0.7050	LR: 0.100000
Training Epoch: 5 [24832/48750]	Loss: 0.8180	LR: 0.100000
Training Epoch: 5 [25088/48750]	Loss: 0.7734	LR: 0.100000
Training Epoch: 5 [25344/48750]	Loss: 0.7032	LR: 0.100000
Training Epoch: 5 [25600/48750]	Loss: 0.7468	LR: 0.100000
Training Epoch: 5 [25856/48750]	Loss: 0.7493	LR: 0.100000
Training Epoch: 5 [26112/48750]	Loss: 0.6787	LR: 0.100000
Training Epoch: 5 [26368/48750]	Loss: 0.6574	LR: 0.100000
Training Epoch: 5 [26624/48750]	Loss: 0.7412	LR: 0.100000
Training Epoch: 5 [26880/48750]	Loss: 0.6740	LR: 0.100000
Training Epoch: 5 [27136/48750]	Loss: 0.6591	LR: 0.100000
Training Epoch: 5 [27392/48750]	Loss: 0.8304	LR: 0.100000
Training Epoch: 5 [27648/48750]	Loss: 0.8216	LR: 0.100000
Training Epoch: 5 [27904/48750]	Loss: 0.7172	LR: 0.100000
Training Epoch: 5 [28160/48750]	Loss: 0.7180	LR: 0.100000
Training Epoch: 5 [28416/48750]	Loss: 0.6618	LR: 0.100000
Training Epoch: 5 [28672/48750]	Loss: 0.6323	LR: 0.100000
Training Epoch: 5 [28928/48750]	Loss: 0.7018	LR: 0.100000
Training Epoch: 5 [29184/48750]	Loss: 0.7591	LR: 0.100000
Training Epoch: 5 [29440/48750]	Loss: 0.7300	LR: 0.100000
Training Epoch: 5 [29696/48750]	Loss: 0.7718	LR: 0.100000
Training Epoch: 5 [29952/48750]	Loss: 0.6826	LR: 0.100000
Training Epoch: 5 [30208/48750]	Loss: 0.6219	LR: 0.100000
Training Epoch: 5 [30464/48750]	Loss: 0.6715	LR: 0.100000
Training Epoch: 5 [30720/48750]	Loss: 0.8085	LR: 0.100000
Training Epoch: 5 [30976/48750]	Loss: 0.6678	LR: 0.100000
Training Epoch: 5 [31232/48750]	Loss: 0.6876	LR: 0.100000
Training Epoch: 5 [31488/48750]	Loss: 0.6198	LR: 0.100000
Training Epoch: 5 [31744/48750]	Loss: 0.6854	LR: 0.100000
Training Epoch: 5 [32000/48750]	Loss: 0.7155	LR: 0.100000
Training Epoch: 5 [32256/48750]	Loss: 0.7198	LR: 0.100000
Training Epoch: 5 [32512/48750]	Loss: 0.7282	LR: 0.100000
Training Epoch: 5 [32768/48750]	Loss: 0.6859	LR: 0.100000
Training Epoch: 5 [33024/48750]	Loss: 0.6932	LR: 0.100000
Training Epoch: 5 [33280/48750]	Loss: 0.8026	LR: 0.100000
Training Epoch: 5 [33536/48750]	Loss: 0.8712	LR: 0.100000
Training Epoch: 5 [33792/48750]	Loss: 0.6782	LR: 0.100000
Training Epoch: 5 [34048/48750]	Loss: 0.7197	LR: 0.100000
Training Epoch: 5 [34304/48750]	Loss: 0.6565	LR: 0.100000
Training Epoch: 5 [34560/48750]	Loss: 0.7273	LR: 0.100000
Training Epoch: 5 [34816/48750]	Loss: 0.7058	LR: 0.100000
Training Epoch: 5 [35072/48750]	Loss: 0.7921	LR: 0.100000
Training Epoch: 5 [35328/48750]	Loss: 0.7424	LR: 0.100000
Training Epoch: 5 [35584/48750]	Loss: 0.6221	LR: 0.100000
Training Epoch: 5 [35840/48750]	Loss: 0.6862	LR: 0.100000
Training Epoch: 5 [36096/48750]	Loss: 0.5558	LR: 0.100000
Training Epoch: 5 [36352/48750]	Loss: 0.6569	LR: 0.100000
Training Epoch: 5 [36608/48750]	Loss: 0.5681	LR: 0.100000
Training Epoch: 5 [36864/48750]	Loss: 0.8301	LR: 0.100000
Training Epoch: 5 [37120/48750]	Loss: 0.6780	LR: 0.100000
Training Epoch: 5 [37376/48750]	Loss: 0.6601	LR: 0.100000
Training Epoch: 5 [37632/48750]	Loss: 0.6206	LR: 0.100000
Training Epoch: 5 [37888/48750]	Loss: 0.6372	LR: 0.100000
Training Epoch: 5 [38144/48750]	Loss: 0.5883	LR: 0.100000
Training Epoch: 5 [38400/48750]	Loss: 0.5695	LR: 0.100000
Training Epoch: 5 [38656/48750]	Loss: 0.6165	LR: 0.100000
Training Epoch: 5 [38912/48750]	Loss: 0.6467	LR: 0.100000
Training Epoch: 5 [39168/48750]	Loss: 0.6907	LR: 0.100000
Training Epoch: 5 [39424/48750]	Loss: 0.7436	LR: 0.100000
Training Epoch: 5 [39680/48750]	Loss: 0.6702	LR: 0.100000
Training Epoch: 5 [39936/48750]	Loss: 0.6723	LR: 0.100000
Training Epoch: 5 [40192/48750]	Loss: 0.7790	LR: 0.100000
Training Epoch: 5 [40448/48750]	Loss: 0.6273	LR: 0.100000
Training Epoch: 5 [40704/48750]	Loss: 0.8121	LR: 0.100000
Training Epoch: 5 [40960/48750]	Loss: 0.6898	LR: 0.100000
Training Epoch: 5 [41216/48750]	Loss: 0.6335	LR: 0.100000
Training Epoch: 5 [41472/48750]	Loss: 0.7316	LR: 0.100000
Training Epoch: 5 [41728/48750]	Loss: 0.6841	LR: 0.100000
Training Epoch: 5 [41984/48750]	Loss: 0.6641	LR: 0.100000
Training Epoch: 5 [42240/48750]	Loss: 0.6236	LR: 0.100000
Training Epoch: 5 [42496/48750]	Loss: 0.7525	LR: 0.100000
Training Epoch: 5 [42752/48750]	Loss: 0.8771	LR: 0.100000
Training Epoch: 5 [43008/48750]	Loss: 0.7736	LR: 0.100000
Training Epoch: 5 [43264/48750]	Loss: 0.6893	LR: 0.100000
Training Epoch: 5 [43520/48750]	Loss: 0.6945	LR: 0.100000
Training Epoch: 5 [43776/48750]	Loss: 0.6125	LR: 0.100000
Training Epoch: 5 [44032/48750]	Loss: 0.6479	LR: 0.100000
Training Epoch: 5 [44288/48750]	Loss: 0.6570	LR: 0.100000
Training Epoch: 5 [44544/48750]	Loss: 0.7478	LR: 0.100000
Training Epoch: 5 [44800/48750]	Loss: 0.6298	LR: 0.100000
Training Epoch: 5 [45056/48750]	Loss: 0.7564	LR: 0.100000
Training Epoch: 5 [45312/48750]	Loss: 0.6263	LR: 0.100000
Training Epoch: 5 [45568/48750]	Loss: 0.7374	LR: 0.100000
Training Epoch: 5 [45824/48750]	Loss: 0.6947	LR: 0.100000
Training Epoch: 5 [46080/48750]	Loss: 0.7787	LR: 0.100000
Training Epoch: 5 [46336/48750]	Loss: 0.7212	LR: 0.100000
Training Epoch: 5 [46592/48750]	Loss: 0.5843	LR: 0.100000
Training Epoch: 5 [46848/48750]	Loss: 0.7562	LR: 0.100000
Training Epoch: 5 [47104/48750]	Loss: 0.6154	LR: 0.100000
Training Epoch: 5 [47360/48750]	Loss: 0.6435	LR: 0.100000
Training Epoch: 5 [47616/48750]	Loss: 0.5020	LR: 0.100000
Training Epoch: 5 [47872/48750]	Loss: 0.6714	LR: 0.100000
Training Epoch: 5 [48128/48750]	Loss: 0.6693	LR: 0.100000
Training Epoch: 5 [48384/48750]	Loss: 0.6791	LR: 0.100000
Training Epoch: 5 [48640/48750]	Loss: 0.6775	LR: 0.100000
Training Epoch: 5 [48750/48750]	Loss: 0.5164	LR: 0.100000
Epoch 5 - Average Train Loss: 0.7095, Train Accuracy: 0.7519
Epoch 5 training time consumed: 29.85s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0027, Accuracy: 0.7615, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_20h_07m_11s/ResNet18-Cifar10-seed4-ret75-5-best.pth
Training Epoch: 6 [256/48750]	Loss: 0.6469	LR: 0.100000
Training Epoch: 6 [512/48750]	Loss: 0.4898	LR: 0.100000
Training Epoch: 6 [768/48750]	Loss: 0.7734	LR: 0.100000
Training Epoch: 6 [1024/48750]	Loss: 0.6081	LR: 0.100000
Training Epoch: 6 [1280/48750]	Loss: 0.6985	LR: 0.100000
Training Epoch: 6 [1536/48750]	Loss: 0.7113	LR: 0.100000
Training Epoch: 6 [1792/48750]	Loss: 0.7195	LR: 0.100000
Training Epoch: 6 [2048/48750]	Loss: 0.5562	LR: 0.100000
Training Epoch: 6 [2304/48750]	Loss: 0.6652	LR: 0.100000
Training Epoch: 6 [2560/48750]	Loss: 0.6677	LR: 0.100000
Training Epoch: 6 [2816/48750]	Loss: 0.7089	LR: 0.100000
Training Epoch: 6 [3072/48750]	Loss: 0.7192	LR: 0.100000
Training Epoch: 6 [3328/48750]	Loss: 0.6794	LR: 0.100000
Training Epoch: 6 [3584/48750]	Loss: 0.6134	LR: 0.100000
Training Epoch: 6 [3840/48750]	Loss: 0.7115	LR: 0.100000
Training Epoch: 6 [4096/48750]	Loss: 0.6341	LR: 0.100000
Training Epoch: 6 [4352/48750]	Loss: 0.6989	LR: 0.100000
Training Epoch: 6 [4608/48750]	Loss: 0.5896	LR: 0.100000
Training Epoch: 6 [4864/48750]	Loss: 0.6565	LR: 0.100000
Training Epoch: 6 [5120/48750]	Loss: 0.5736	LR: 0.100000
Training Epoch: 6 [5376/48750]	Loss: 0.6656	LR: 0.100000
Training Epoch: 6 [5632/48750]	Loss: 0.6833	LR: 0.100000
Training Epoch: 6 [5888/48750]	Loss: 0.5733	LR: 0.100000
Training Epoch: 6 [6144/48750]	Loss: 0.6334	LR: 0.100000
Training Epoch: 6 [6400/48750]	Loss: 0.6928	LR: 0.100000
Training Epoch: 6 [6656/48750]	Loss: 0.6489	LR: 0.100000
Training Epoch: 6 [6912/48750]	Loss: 0.6091	LR: 0.100000
Training Epoch: 6 [7168/48750]	Loss: 0.7317	LR: 0.100000
Training Epoch: 6 [7424/48750]	Loss: 0.6306	LR: 0.100000
Training Epoch: 6 [7680/48750]	Loss: 0.7162	LR: 0.100000
Training Epoch: 6 [7936/48750]	Loss: 0.6022	LR: 0.100000
Training Epoch: 6 [8192/48750]	Loss: 0.5178	LR: 0.100000
Training Epoch: 6 [8448/48750]	Loss: 0.5562	LR: 0.100000
Training Epoch: 6 [8704/48750]	Loss: 0.6191	LR: 0.100000
Training Epoch: 6 [8960/48750]	Loss: 0.6833	LR: 0.100000
Training Epoch: 6 [9216/48750]	Loss: 0.6263	LR: 0.100000
Training Epoch: 6 [9472/48750]	Loss: 0.5687	LR: 0.100000
Training Epoch: 6 [9728/48750]	Loss: 0.5677	LR: 0.100000
Training Epoch: 6 [9984/48750]	Loss: 0.5979	LR: 0.100000
Training Epoch: 6 [10240/48750]	Loss: 0.5282	LR: 0.100000
Training Epoch: 6 [10496/48750]	Loss: 0.6987	LR: 0.100000
Training Epoch: 6 [10752/48750]	Loss: 0.6624	LR: 0.100000
Training Epoch: 6 [11008/48750]	Loss: 0.5775	LR: 0.100000
Training Epoch: 6 [11264/48750]	Loss: 0.6611	LR: 0.100000
Training Epoch: 6 [11520/48750]	Loss: 0.6446	LR: 0.100000
Training Epoch: 6 [11776/48750]	Loss: 0.7142	LR: 0.100000
Training Epoch: 6 [12032/48750]	Loss: 0.6505	LR: 0.100000
Training Epoch: 6 [12288/48750]	Loss: 0.6597	LR: 0.100000
Training Epoch: 6 [12544/48750]	Loss: 0.5267	LR: 0.100000
Training Epoch: 6 [12800/48750]	Loss: 0.5548	LR: 0.100000
Training Epoch: 6 [13056/48750]	Loss: 0.5697	LR: 0.100000
Training Epoch: 6 [13312/48750]	Loss: 0.6302	LR: 0.100000
Training Epoch: 6 [13568/48750]	Loss: 0.6471	LR: 0.100000
Training Epoch: 6 [13824/48750]	Loss: 0.7854	LR: 0.100000
Training Epoch: 6 [14080/48750]	Loss: 0.6259	LR: 0.100000
Training Epoch: 6 [14336/48750]	Loss: 0.6621	LR: 0.100000
Training Epoch: 6 [14592/48750]	Loss: 0.7212	LR: 0.100000
Training Epoch: 6 [14848/48750]	Loss: 0.7148	LR: 0.100000
Training Epoch: 6 [15104/48750]	Loss: 0.5963	LR: 0.100000
Training Epoch: 6 [15360/48750]	Loss: 0.5846	LR: 0.100000
Training Epoch: 6 [15616/48750]	Loss: 0.6571	LR: 0.100000
Training Epoch: 6 [15872/48750]	Loss: 0.7665	LR: 0.100000
Training Epoch: 6 [16128/48750]	Loss: 0.6483	LR: 0.100000
Training Epoch: 6 [16384/48750]	Loss: 0.5863	LR: 0.100000
Training Epoch: 6 [16640/48750]	Loss: 0.8047	LR: 0.100000
Training Epoch: 6 [16896/48750]	Loss: 0.5170	LR: 0.100000
Training Epoch: 6 [17152/48750]	Loss: 0.6580	LR: 0.100000
Training Epoch: 6 [17408/48750]	Loss: 0.6703	LR: 0.100000
Training Epoch: 6 [17664/48750]	Loss: 0.5718	LR: 0.100000
Training Epoch: 6 [17920/48750]	Loss: 0.6958	LR: 0.100000
Training Epoch: 6 [18176/48750]	Loss: 0.5725	LR: 0.100000
Training Epoch: 6 [18432/48750]	Loss: 0.5907	LR: 0.100000
Training Epoch: 6 [18688/48750]	Loss: 0.5590	LR: 0.100000
Training Epoch: 6 [18944/48750]	Loss: 0.5458	LR: 0.100000
Training Epoch: 6 [19200/48750]	Loss: 0.6570	LR: 0.100000
Training Epoch: 6 [19456/48750]	Loss: 0.6135	LR: 0.100000
Training Epoch: 6 [19712/48750]	Loss: 0.6549	LR: 0.100000
Training Epoch: 6 [19968/48750]	Loss: 0.6314	LR: 0.100000
Training Epoch: 6 [20224/48750]	Loss: 0.6481	LR: 0.100000
Training Epoch: 6 [20480/48750]	Loss: 0.5416	LR: 0.100000
Training Epoch: 6 [20736/48750]	Loss: 0.6656	LR: 0.100000
Training Epoch: 6 [20992/48750]	Loss: 0.6690	LR: 0.100000
Training Epoch: 6 [21248/48750]	Loss: 0.7214	LR: 0.100000
Training Epoch: 6 [21504/48750]	Loss: 0.6309	LR: 0.100000
Training Epoch: 6 [21760/48750]	Loss: 0.6728	LR: 0.100000
Training Epoch: 6 [22016/48750]	Loss: 0.6698	LR: 0.100000
Training Epoch: 6 [22272/48750]	Loss: 0.6534	LR: 0.100000
Training Epoch: 6 [22528/48750]	Loss: 0.7571	LR: 0.100000
Training Epoch: 6 [22784/48750]	Loss: 0.5976	LR: 0.100000
Training Epoch: 6 [23040/48750]	Loss: 0.7941	LR: 0.100000
Training Epoch: 6 [23296/48750]	Loss: 0.7821	LR: 0.100000
Training Epoch: 6 [23552/48750]	Loss: 0.5934	LR: 0.100000
Training Epoch: 6 [23808/48750]	Loss: 0.6848	LR: 0.100000
Training Epoch: 6 [24064/48750]	Loss: 0.6480	LR: 0.100000
Training Epoch: 6 [24320/48750]	Loss: 0.6667	LR: 0.100000
Training Epoch: 6 [24576/48750]	Loss: 0.7568	LR: 0.100000
Training Epoch: 6 [24832/48750]	Loss: 0.6439	LR: 0.100000
Training Epoch: 6 [25088/48750]	Loss: 0.6772	LR: 0.100000
Training Epoch: 6 [25344/48750]	Loss: 0.5629	LR: 0.100000
Training Epoch: 6 [25600/48750]	Loss: 0.5386	LR: 0.100000
Training Epoch: 6 [25856/48750]	Loss: 0.7099	LR: 0.100000
Training Epoch: 6 [26112/48750]	Loss: 0.6292	LR: 0.100000
Training Epoch: 6 [26368/48750]	Loss: 0.5769	LR: 0.100000
Training Epoch: 6 [26624/48750]	Loss: 0.6467	LR: 0.100000
Training Epoch: 6 [26880/48750]	Loss: 0.7127	LR: 0.100000
Training Epoch: 6 [27136/48750]	Loss: 0.5738	LR: 0.100000
Training Epoch: 6 [27392/48750]	Loss: 0.5582	LR: 0.100000
Training Epoch: 6 [27648/48750]	Loss: 0.6550	LR: 0.100000
Training Epoch: 6 [27904/48750]	Loss: 0.7852	LR: 0.100000
Training Epoch: 6 [28160/48750]	Loss: 0.6235	LR: 0.100000
Training Epoch: 6 [28416/48750]	Loss: 0.6065	LR: 0.100000
Training Epoch: 6 [28672/48750]	Loss: 0.6450	LR: 0.100000
Training Epoch: 6 [28928/48750]	Loss: 0.6906	LR: 0.100000
Training Epoch: 6 [29184/48750]	Loss: 0.6812	LR: 0.100000
Training Epoch: 6 [29440/48750]	Loss: 0.7577	LR: 0.100000
Training Epoch: 6 [29696/48750]	Loss: 0.5334	LR: 0.100000
Training Epoch: 6 [29952/48750]	Loss: 0.6100	LR: 0.100000
Training Epoch: 6 [30208/48750]	Loss: 0.6200	LR: 0.100000
Training Epoch: 6 [30464/48750]	Loss: 0.6773	LR: 0.100000
Training Epoch: 6 [30720/48750]	Loss: 0.5947	LR: 0.100000
Training Epoch: 6 [30976/48750]	Loss: 0.6763	LR: 0.100000
Training Epoch: 6 [31232/48750]	Loss: 0.6556	LR: 0.100000
Training Epoch: 6 [31488/48750]	Loss: 0.6470	LR: 0.100000
Training Epoch: 6 [31744/48750]	Loss: 0.5615	LR: 0.100000
Training Epoch: 6 [32000/48750]	Loss: 0.6817	LR: 0.100000
Training Epoch: 6 [32256/48750]	Loss: 0.6626	LR: 0.100000
Training Epoch: 6 [32512/48750]	Loss: 0.6093	LR: 0.100000
Training Epoch: 6 [32768/48750]	Loss: 0.5073	LR: 0.100000
Training Epoch: 6 [33024/48750]	Loss: 0.6449	LR: 0.100000
Training Epoch: 6 [33280/48750]	Loss: 0.5144	LR: 0.100000
Training Epoch: 6 [33536/48750]	Loss: 0.6115	LR: 0.100000
Training Epoch: 6 [33792/48750]	Loss: 0.6888	LR: 0.100000
Training Epoch: 6 [34048/48750]	Loss: 0.6653	LR: 0.100000
Training Epoch: 6 [34304/48750]	Loss: 0.4966	LR: 0.100000
Training Epoch: 6 [34560/48750]	Loss: 0.6633	LR: 0.100000
Training Epoch: 6 [34816/48750]	Loss: 0.7055	LR: 0.100000
Training Epoch: 6 [35072/48750]	Loss: 0.6282	LR: 0.100000
Training Epoch: 6 [35328/48750]	Loss: 0.7005	LR: 0.100000
Training Epoch: 6 [35584/48750]	Loss: 0.6139	LR: 0.100000
Training Epoch: 6 [35840/48750]	Loss: 0.7224	LR: 0.100000
Training Epoch: 6 [36096/48750]	Loss: 0.7667	LR: 0.100000
Training Epoch: 6 [36352/48750]	Loss: 0.5513	LR: 0.100000
Training Epoch: 6 [36608/48750]	Loss: 0.5587	LR: 0.100000
Training Epoch: 6 [36864/48750]	Loss: 0.5488	LR: 0.100000
Training Epoch: 6 [37120/48750]	Loss: 0.5592	LR: 0.100000
Training Epoch: 6 [37376/48750]	Loss: 0.5956	LR: 0.100000
Training Epoch: 6 [37632/48750]	Loss: 0.5536	LR: 0.100000
Training Epoch: 6 [37888/48750]	Loss: 0.6683	LR: 0.100000
Training Epoch: 6 [38144/48750]	Loss: 0.5191	LR: 0.100000
Training Epoch: 6 [38400/48750]	Loss: 0.5625	LR: 0.100000
Training Epoch: 6 [38656/48750]	Loss: 0.6275	LR: 0.100000
Training Epoch: 6 [38912/48750]	Loss: 0.7242	LR: 0.100000
Training Epoch: 6 [39168/48750]	Loss: 0.6258	LR: 0.100000
Training Epoch: 6 [39424/48750]	Loss: 0.6445	LR: 0.100000
Training Epoch: 6 [39680/48750]	Loss: 0.6309	LR: 0.100000
Training Epoch: 6 [39936/48750]	Loss: 0.6594	LR: 0.100000
Training Epoch: 6 [40192/48750]	Loss: 0.6757	LR: 0.100000
Training Epoch: 6 [40448/48750]	Loss: 0.5025	LR: 0.100000
Training Epoch: 6 [40704/48750]	Loss: 0.4943	LR: 0.100000
Training Epoch: 6 [40960/48750]	Loss: 0.7229	LR: 0.100000
Training Epoch: 6 [41216/48750]	Loss: 0.6032	LR: 0.100000
Training Epoch: 6 [41472/48750]	Loss: 0.6882	LR: 0.100000
Training Epoch: 6 [41728/48750]	Loss: 0.6883	LR: 0.100000
Training Epoch: 6 [41984/48750]	Loss: 0.5206	LR: 0.100000
Training Epoch: 6 [42240/48750]	Loss: 0.6502	LR: 0.100000
Training Epoch: 6 [42496/48750]	Loss: 0.6318	LR: 0.100000
Training Epoch: 6 [42752/48750]	Loss: 0.5710	LR: 0.100000
Training Epoch: 6 [43008/48750]	Loss: 0.7452	LR: 0.100000
Training Epoch: 6 [43264/48750]	Loss: 0.5450	LR: 0.100000
Training Epoch: 6 [43520/48750]	Loss: 0.6146	LR: 0.100000
Training Epoch: 6 [43776/48750]	Loss: 0.5098	LR: 0.100000
Training Epoch: 6 [44032/48750]	Loss: 0.6613	LR: 0.100000
Training Epoch: 6 [44288/48750]	Loss: 0.5531	LR: 0.100000
Training Epoch: 6 [44544/48750]	Loss: 0.6304	LR: 0.100000
Training Epoch: 6 [44800/48750]	Loss: 0.6111	LR: 0.100000
Training Epoch: 6 [45056/48750]	Loss: 0.6449	LR: 0.100000
Training Epoch: 6 [45312/48750]	Loss: 0.5602	LR: 0.100000
Training Epoch: 6 [45568/48750]	Loss: 0.6634	LR: 0.100000
Training Epoch: 6 [45824/48750]	Loss: 0.7156	LR: 0.100000
Training Epoch: 6 [46080/48750]	Loss: 0.6530	LR: 0.100000
Training Epoch: 6 [46336/48750]	Loss: 0.6592	LR: 0.100000
Training Epoch: 6 [46592/48750]	Loss: 0.5476	LR: 0.100000
Training Epoch: 6 [46848/48750]	Loss: 0.5582	LR: 0.100000
Training Epoch: 6 [47104/48750]	Loss: 0.5870	LR: 0.100000
Training Epoch: 6 [47360/48750]	Loss: 0.6235	LR: 0.100000
Training Epoch: 6 [47616/48750]	Loss: 0.6439	LR: 0.100000
Training Epoch: 6 [47872/48750]	Loss: 0.7185	LR: 0.100000
Training Epoch: 6 [48128/48750]	Loss: 0.5965	LR: 0.100000
Training Epoch: 6 [48384/48750]	Loss: 0.6317	LR: 0.100000
Training Epoch: 6 [48640/48750]	Loss: 0.6870	LR: 0.100000
Training Epoch: 6 [48750/48750]	Loss: 0.6844	LR: 0.100000
Epoch 6 - Average Train Loss: 0.6364, Train Accuracy: 0.7778
Epoch 6 training time consumed: 30.22s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0027, Accuracy: 0.7598, Time consumed:0.99s
Training Epoch: 7 [256/48750]	Loss: 0.5079	LR: 0.100000
Training Epoch: 7 [512/48750]	Loss: 0.6507	LR: 0.100000
Training Epoch: 7 [768/48750]	Loss: 0.5694	LR: 0.100000
Training Epoch: 7 [1024/48750]	Loss: 0.5250	LR: 0.100000
Training Epoch: 7 [1280/48750]	Loss: 0.5977	LR: 0.100000
Training Epoch: 7 [1536/48750]	Loss: 0.5818	LR: 0.100000
Training Epoch: 7 [1792/48750]	Loss: 0.5531	LR: 0.100000
Training Epoch: 7 [2048/48750]	Loss: 0.5642	LR: 0.100000
Training Epoch: 7 [2304/48750]	Loss: 0.6102	LR: 0.100000
Training Epoch: 7 [2560/48750]	Loss: 0.5501	LR: 0.100000
Training Epoch: 7 [2816/48750]	Loss: 0.6273	LR: 0.100000
Training Epoch: 7 [3072/48750]	Loss: 0.5519	LR: 0.100000
Training Epoch: 7 [3328/48750]	Loss: 0.6688	LR: 0.100000
Training Epoch: 7 [3584/48750]	Loss: 0.5372	LR: 0.100000
Training Epoch: 7 [3840/48750]	Loss: 0.6177	LR: 0.100000
Training Epoch: 7 [4096/48750]	Loss: 0.5857	LR: 0.100000
Training Epoch: 7 [4352/48750]	Loss: 0.5902	LR: 0.100000
Training Epoch: 7 [4608/48750]	Loss: 0.5794	LR: 0.100000
Training Epoch: 7 [4864/48750]	Loss: 0.6074	LR: 0.100000
Training Epoch: 7 [5120/48750]	Loss: 0.6472	LR: 0.100000
Training Epoch: 7 [5376/48750]	Loss: 0.6996	LR: 0.100000
Training Epoch: 7 [5632/48750]	Loss: 0.5091	LR: 0.100000
Training Epoch: 7 [5888/48750]	Loss: 0.6400	LR: 0.100000
Training Epoch: 7 [6144/48750]	Loss: 0.5251	LR: 0.100000
Training Epoch: 7 [6400/48750]	Loss: 0.6770	LR: 0.100000
Training Epoch: 7 [6656/48750]	Loss: 0.5097	LR: 0.100000
Training Epoch: 7 [6912/48750]	Loss: 0.6096	LR: 0.100000
Training Epoch: 7 [7168/48750]	Loss: 0.4842	LR: 0.100000
Training Epoch: 7 [7424/48750]	Loss: 0.5310	LR: 0.100000
Training Epoch: 7 [7680/48750]	Loss: 0.5798	LR: 0.100000
Training Epoch: 7 [7936/48750]	Loss: 0.4996	LR: 0.100000
Training Epoch: 7 [8192/48750]	Loss: 0.6474	LR: 0.100000
Training Epoch: 7 [8448/48750]	Loss: 0.4953	LR: 0.100000
Training Epoch: 7 [8704/48750]	Loss: 0.6512	LR: 0.100000
Training Epoch: 7 [8960/48750]	Loss: 0.6474	LR: 0.100000
Training Epoch: 7 [9216/48750]	Loss: 0.5295	LR: 0.100000
Training Epoch: 7 [9472/48750]	Loss: 0.5882	LR: 0.100000
Training Epoch: 7 [9728/48750]	Loss: 0.6417	LR: 0.100000
Training Epoch: 7 [9984/48750]	Loss: 0.5714	LR: 0.100000
Training Epoch: 7 [10240/48750]	Loss: 0.5425	LR: 0.100000
Training Epoch: 7 [10496/48750]	Loss: 0.5448	LR: 0.100000
Training Epoch: 7 [10752/48750]	Loss: 0.4497	LR: 0.100000
Training Epoch: 7 [11008/48750]	Loss: 0.5461	LR: 0.100000
Training Epoch: 7 [11264/48750]	Loss: 0.5118	LR: 0.100000
Training Epoch: 7 [11520/48750]	Loss: 0.5447	LR: 0.100000
Training Epoch: 7 [11776/48750]	Loss: 0.5616	LR: 0.100000
Training Epoch: 7 [12032/48750]	Loss: 0.5540	LR: 0.100000
Training Epoch: 7 [12288/48750]	Loss: 0.6524	LR: 0.100000
Training Epoch: 7 [12544/48750]	Loss: 0.5540	LR: 0.100000
Training Epoch: 7 [12800/48750]	Loss: 0.5918	LR: 0.100000
Training Epoch: 7 [13056/48750]	Loss: 0.7243	LR: 0.100000
Training Epoch: 7 [13312/48750]	Loss: 0.6229	LR: 0.100000
Training Epoch: 7 [13568/48750]	Loss: 0.5547	LR: 0.100000
Training Epoch: 7 [13824/48750]	Loss: 0.5338	LR: 0.100000
Training Epoch: 7 [14080/48750]	Loss: 0.6994	LR: 0.100000
Training Epoch: 7 [14336/48750]	Loss: 0.7179	LR: 0.100000
Training Epoch: 7 [14592/48750]	Loss: 0.5454	LR: 0.100000
Training Epoch: 7 [14848/48750]	Loss: 0.5983	LR: 0.100000
Training Epoch: 7 [15104/48750]	Loss: 0.6359	LR: 0.100000
Training Epoch: 7 [15360/48750]	Loss: 0.5667	LR: 0.100000
Training Epoch: 7 [15616/48750]	Loss: 0.6428	LR: 0.100000
Training Epoch: 7 [15872/48750]	Loss: 0.5661	LR: 0.100000
Training Epoch: 7 [16128/48750]	Loss: 0.6808	LR: 0.100000
Training Epoch: 7 [16384/48750]	Loss: 0.5799	LR: 0.100000
Training Epoch: 7 [16640/48750]	Loss: 0.5274	LR: 0.100000
Training Epoch: 7 [16896/48750]	Loss: 0.6803	LR: 0.100000
Training Epoch: 7 [17152/48750]	Loss: 0.5371	LR: 0.100000
Training Epoch: 7 [17408/48750]	Loss: 0.5061	LR: 0.100000
Training Epoch: 7 [17664/48750]	Loss: 0.5958	LR: 0.100000
Training Epoch: 7 [17920/48750]	Loss: 0.5769	LR: 0.100000
Training Epoch: 7 [18176/48750]	Loss: 0.5927	LR: 0.100000
Training Epoch: 7 [18432/48750]	Loss: 0.6436	LR: 0.100000
Training Epoch: 7 [18688/48750]	Loss: 0.5504	LR: 0.100000
Training Epoch: 7 [18944/48750]	Loss: 0.5073	LR: 0.100000
Training Epoch: 7 [19200/48750]	Loss: 0.5112	LR: 0.100000
Training Epoch: 7 [19456/48750]	Loss: 0.6008	LR: 0.100000
Training Epoch: 7 [19712/48750]	Loss: 0.5528	LR: 0.100000
Training Epoch: 7 [19968/48750]	Loss: 0.5491	LR: 0.100000
Training Epoch: 7 [20224/48750]	Loss: 0.6659	LR: 0.100000
Training Epoch: 7 [20480/48750]	Loss: 0.5775	LR: 0.100000
Training Epoch: 7 [20736/48750]	Loss: 0.5571	LR: 0.100000
Training Epoch: 7 [20992/48750]	Loss: 0.6028	LR: 0.100000
Training Epoch: 7 [21248/48750]	Loss: 0.5931	LR: 0.100000
Training Epoch: 7 [21504/48750]	Loss: 0.7656	LR: 0.100000
Training Epoch: 7 [21760/48750]	Loss: 0.5369	LR: 0.100000
Training Epoch: 7 [22016/48750]	Loss: 0.5374	LR: 0.100000
Training Epoch: 7 [22272/48750]	Loss: 0.6559	LR: 0.100000
Training Epoch: 7 [22528/48750]	Loss: 0.5343	LR: 0.100000
Training Epoch: 7 [22784/48750]	Loss: 0.6355	LR: 0.100000
Training Epoch: 7 [23040/48750]	Loss: 0.5635	LR: 0.100000
Training Epoch: 7 [23296/48750]	Loss: 0.6900	LR: 0.100000
Training Epoch: 7 [23552/48750]	Loss: 0.6062	LR: 0.100000
Training Epoch: 7 [23808/48750]	Loss: 0.5865	LR: 0.100000
Training Epoch: 7 [24064/48750]	Loss: 0.7377	LR: 0.100000
Training Epoch: 7 [24320/48750]	Loss: 0.6242	LR: 0.100000
Training Epoch: 7 [24576/48750]	Loss: 0.6359	LR: 0.100000
Training Epoch: 7 [24832/48750]	Loss: 0.6241	LR: 0.100000
Training Epoch: 7 [25088/48750]	Loss: 0.5318	LR: 0.100000
Training Epoch: 7 [25344/48750]	Loss: 0.5523	LR: 0.100000
Training Epoch: 7 [25600/48750]	Loss: 0.7895	LR: 0.100000
Training Epoch: 7 [25856/48750]	Loss: 0.5842	LR: 0.100000
Training Epoch: 7 [26112/48750]	Loss: 0.5203	LR: 0.100000
Training Epoch: 7 [26368/48750]	Loss: 0.6506	LR: 0.100000
Training Epoch: 7 [26624/48750]	Loss: 0.6044	LR: 0.100000
Training Epoch: 7 [26880/48750]	Loss: 0.5575	LR: 0.100000
Training Epoch: 7 [27136/48750]	Loss: 0.5601	LR: 0.100000
Training Epoch: 7 [27392/48750]	Loss: 0.6309	LR: 0.100000
Training Epoch: 7 [27648/48750]	Loss: 0.6733	LR: 0.100000
Training Epoch: 7 [27904/48750]	Loss: 0.5532	LR: 0.100000
Training Epoch: 7 [28160/48750]	Loss: 0.5513	LR: 0.100000
Training Epoch: 7 [28416/48750]	Loss: 0.5695	LR: 0.100000
Training Epoch: 7 [28672/48750]	Loss: 0.5218	LR: 0.100000
Training Epoch: 7 [28928/48750]	Loss: 0.5889	LR: 0.100000
Training Epoch: 7 [29184/48750]	Loss: 0.6289	LR: 0.100000
Training Epoch: 7 [29440/48750]	Loss: 0.4949	LR: 0.100000
Training Epoch: 7 [29696/48750]	Loss: 0.5309	LR: 0.100000
Training Epoch: 7 [29952/48750]	Loss: 0.5334	LR: 0.100000
Training Epoch: 7 [30208/48750]	Loss: 0.6437	LR: 0.100000
Training Epoch: 7 [30464/48750]	Loss: 0.5178	LR: 0.100000
Training Epoch: 7 [30720/48750]	Loss: 0.6064	LR: 0.100000
Training Epoch: 7 [30976/48750]	Loss: 0.6015	LR: 0.100000
Training Epoch: 7 [31232/48750]	Loss: 0.6570	LR: 0.100000
Training Epoch: 7 [31488/48750]	Loss: 0.6450	LR: 0.100000
Training Epoch: 7 [31744/48750]	Loss: 0.5881	LR: 0.100000
Training Epoch: 7 [32000/48750]	Loss: 0.6728	LR: 0.100000
Training Epoch: 7 [32256/48750]	Loss: 0.6017	LR: 0.100000
Training Epoch: 7 [32512/48750]	Loss: 0.5058	LR: 0.100000
Training Epoch: 7 [32768/48750]	Loss: 0.7799	LR: 0.100000
Training Epoch: 7 [33024/48750]	Loss: 0.5924	LR: 0.100000
Training Epoch: 7 [33280/48750]	Loss: 0.5827	LR: 0.100000
Training Epoch: 7 [33536/48750]	Loss: 0.5232	LR: 0.100000
Training Epoch: 7 [33792/48750]	Loss: 0.6188	LR: 0.100000
Training Epoch: 7 [34048/48750]	Loss: 0.5427	LR: 0.100000
Training Epoch: 7 [34304/48750]	Loss: 0.5715	LR: 0.100000
Training Epoch: 7 [34560/48750]	Loss: 0.5755	LR: 0.100000
Training Epoch: 7 [34816/48750]	Loss: 0.6868	LR: 0.100000
Training Epoch: 7 [35072/48750]	Loss: 0.4960	LR: 0.100000
Training Epoch: 7 [35328/48750]	Loss: 0.7185	LR: 0.100000
Training Epoch: 7 [35584/48750]	Loss: 0.6431	LR: 0.100000
Training Epoch: 7 [35840/48750]	Loss: 0.5399	LR: 0.100000
Training Epoch: 7 [36096/48750]	Loss: 0.6724	LR: 0.100000
Training Epoch: 7 [36352/48750]	Loss: 0.5466	LR: 0.100000
Training Epoch: 7 [36608/48750]	Loss: 0.5822	LR: 0.100000
Training Epoch: 7 [36864/48750]	Loss: 0.7373	LR: 0.100000
Training Epoch: 7 [37120/48750]	Loss: 0.5311	LR: 0.100000
Training Epoch: 7 [37376/48750]	Loss: 0.5806	LR: 0.100000
Training Epoch: 7 [37632/48750]	Loss: 0.5438	LR: 0.100000
Training Epoch: 7 [37888/48750]	Loss: 0.5816	LR: 0.100000
Training Epoch: 7 [38144/48750]	Loss: 0.6252	LR: 0.100000
Training Epoch: 7 [38400/48750]	Loss: 0.6145	LR: 0.100000
Training Epoch: 7 [38656/48750]	Loss: 0.5446	LR: 0.100000
Training Epoch: 7 [38912/48750]	Loss: 0.4854	LR: 0.100000
Training Epoch: 7 [39168/48750]	Loss: 0.6269	LR: 0.100000
Training Epoch: 7 [39424/48750]	Loss: 0.6079	LR: 0.100000
Training Epoch: 7 [39680/48750]	Loss: 0.5721	LR: 0.100000
Training Epoch: 7 [39936/48750]	Loss: 0.6031	LR: 0.100000
Training Epoch: 7 [40192/48750]	Loss: 0.5348	LR: 0.100000
Training Epoch: 7 [40448/48750]	Loss: 0.5929	LR: 0.100000
Training Epoch: 7 [40704/48750]	Loss: 0.6080	LR: 0.100000
Training Epoch: 7 [40960/48750]	Loss: 0.5574	LR: 0.100000
Training Epoch: 7 [41216/48750]	Loss: 0.5580	LR: 0.100000
Training Epoch: 7 [41472/48750]	Loss: 0.6330	LR: 0.100000
Training Epoch: 7 [41728/48750]	Loss: 0.6724	LR: 0.100000
Training Epoch: 7 [41984/48750]	Loss: 0.7075	LR: 0.100000
Training Epoch: 7 [42240/48750]	Loss: 0.5959	LR: 0.100000
Training Epoch: 7 [42496/48750]	Loss: 0.5564	LR: 0.100000
Training Epoch: 7 [42752/48750]	Loss: 0.6897	LR: 0.100000
Training Epoch: 7 [43008/48750]	Loss: 0.5784	LR: 0.100000
Training Epoch: 7 [43264/48750]	Loss: 0.6377	LR: 0.100000
Training Epoch: 7 [43520/48750]	Loss: 0.6500	LR: 0.100000
Training Epoch: 7 [43776/48750]	Loss: 0.5115	LR: 0.100000
Training Epoch: 7 [44032/48750]	Loss: 0.5577	LR: 0.100000
Training Epoch: 7 [44288/48750]	Loss: 0.6246	LR: 0.100000
Training Epoch: 7 [44544/48750]	Loss: 0.5320	LR: 0.100000
Training Epoch: 7 [44800/48750]	Loss: 0.5238	LR: 0.100000
Training Epoch: 7 [45056/48750]	Loss: 0.5208	LR: 0.100000
Training Epoch: 7 [45312/48750]	Loss: 0.5834	LR: 0.100000
Training Epoch: 7 [45568/48750]	Loss: 0.6451	LR: 0.100000
Training Epoch: 7 [45824/48750]	Loss: 0.7132	LR: 0.100000
Training Epoch: 7 [46080/48750]	Loss: 0.6620	LR: 0.100000
Training Epoch: 7 [46336/48750]	Loss: 0.6678	LR: 0.100000
Training Epoch: 7 [46592/48750]	Loss: 0.5112	LR: 0.100000
Training Epoch: 7 [46848/48750]	Loss: 0.6223	LR: 0.100000
Training Epoch: 7 [47104/48750]	Loss: 0.5203	LR: 0.100000
Training Epoch: 7 [47360/48750]	Loss: 0.7442	LR: 0.100000
Training Epoch: 7 [47616/48750]	Loss: 0.6803	LR: 0.100000
Training Epoch: 7 [47872/48750]	Loss: 0.5716	LR: 0.100000
Training Epoch: 7 [48128/48750]	Loss: 0.6046	LR: 0.100000
Training Epoch: 7 [48384/48750]	Loss: 0.5010	LR: 0.100000
Training Epoch: 7 [48640/48750]	Loss: 0.7069	LR: 0.100000
Training Epoch: 7 [48750/48750]	Loss: 0.7037	LR: 0.100000
Epoch 7 - Average Train Loss: 0.5935, Train Accuracy: 0.7926
Epoch 7 training time consumed: 29.91s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0027, Accuracy: 0.7759, Time consumed:0.99s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_20h_07m_11s/ResNet18-Cifar10-seed4-ret75-7-best.pth
Training Epoch: 8 [256/48750]	Loss: 0.4810	LR: 0.020000
Training Epoch: 8 [512/48750]	Loss: 0.5568	LR: 0.020000
Training Epoch: 8 [768/48750]	Loss: 0.5115	LR: 0.020000
Training Epoch: 8 [1024/48750]	Loss: 0.5594	LR: 0.020000
Training Epoch: 8 [1280/48750]	Loss: 0.5932	LR: 0.020000
Training Epoch: 8 [1536/48750]	Loss: 0.5659	LR: 0.020000
Training Epoch: 8 [1792/48750]	Loss: 0.4282	LR: 0.020000
Training Epoch: 8 [2048/48750]	Loss: 0.4876	LR: 0.020000
Training Epoch: 8 [2304/48750]	Loss: 0.4335	LR: 0.020000
Training Epoch: 8 [2560/48750]	Loss: 0.4967	LR: 0.020000
Training Epoch: 8 [2816/48750]	Loss: 0.4228	LR: 0.020000
Training Epoch: 8 [3072/48750]	Loss: 0.4867	LR: 0.020000
Training Epoch: 8 [3328/48750]	Loss: 0.4793	LR: 0.020000
Training Epoch: 8 [3584/48750]	Loss: 0.5924	LR: 0.020000
Training Epoch: 8 [3840/48750]	Loss: 0.4454	LR: 0.020000
Training Epoch: 8 [4096/48750]	Loss: 0.5053	LR: 0.020000
Training Epoch: 8 [4352/48750]	Loss: 0.4981	LR: 0.020000
Training Epoch: 8 [4608/48750]	Loss: 0.4247	LR: 0.020000
Training Epoch: 8 [4864/48750]	Loss: 0.4889	LR: 0.020000
Training Epoch: 8 [5120/48750]	Loss: 0.4677	LR: 0.020000
Training Epoch: 8 [5376/48750]	Loss: 0.4181	LR: 0.020000
Training Epoch: 8 [5632/48750]	Loss: 0.4414	LR: 0.020000
Training Epoch: 8 [5888/48750]	Loss: 0.4909	LR: 0.020000
Training Epoch: 8 [6144/48750]	Loss: 0.4219	LR: 0.020000
Training Epoch: 8 [6400/48750]	Loss: 0.5234	LR: 0.020000
Training Epoch: 8 [6656/48750]	Loss: 0.5487	LR: 0.020000
Training Epoch: 8 [6912/48750]	Loss: 0.5143	LR: 0.020000
Training Epoch: 8 [7168/48750]	Loss: 0.4920	LR: 0.020000
Training Epoch: 8 [7424/48750]	Loss: 0.5106	LR: 0.020000
Training Epoch: 8 [7680/48750]	Loss: 0.4100	LR: 0.020000
Training Epoch: 8 [7936/48750]	Loss: 0.4594	LR: 0.020000
Training Epoch: 8 [8192/48750]	Loss: 0.4515	LR: 0.020000
Training Epoch: 8 [8448/48750]	Loss: 0.3912	LR: 0.020000
Training Epoch: 8 [8704/48750]	Loss: 0.5848	LR: 0.020000
Training Epoch: 8 [8960/48750]	Loss: 0.4417	LR: 0.020000
Training Epoch: 8 [9216/48750]	Loss: 0.3946	LR: 0.020000
Training Epoch: 8 [9472/48750]	Loss: 0.4442	LR: 0.020000
Training Epoch: 8 [9728/48750]	Loss: 0.4454	LR: 0.020000
Training Epoch: 8 [9984/48750]	Loss: 0.3758	LR: 0.020000
Training Epoch: 8 [10240/48750]	Loss: 0.4108	LR: 0.020000
Training Epoch: 8 [10496/48750]	Loss: 0.4939	LR: 0.020000
Training Epoch: 8 [10752/48750]	Loss: 0.3717	LR: 0.020000
Training Epoch: 8 [11008/48750]	Loss: 0.4693	LR: 0.020000
Training Epoch: 8 [11264/48750]	Loss: 0.3512	LR: 0.020000
Training Epoch: 8 [11520/48750]	Loss: 0.5174	LR: 0.020000
Training Epoch: 8 [11776/48750]	Loss: 0.4464	LR: 0.020000
Training Epoch: 8 [12032/48750]	Loss: 0.4104	LR: 0.020000
Training Epoch: 8 [12288/48750]	Loss: 0.4661	LR: 0.020000
Training Epoch: 8 [12544/48750]	Loss: 0.4880	LR: 0.020000
Training Epoch: 8 [12800/48750]	Loss: 0.4706	LR: 0.020000
Training Epoch: 8 [13056/48750]	Loss: 0.4417	LR: 0.020000
Training Epoch: 8 [13312/48750]	Loss: 0.4161	LR: 0.020000
Training Epoch: 8 [13568/48750]	Loss: 0.4205	LR: 0.020000
Training Epoch: 8 [13824/48750]	Loss: 0.4143	LR: 0.020000
Training Epoch: 8 [14080/48750]	Loss: 0.5453	LR: 0.020000
Training Epoch: 8 [14336/48750]	Loss: 0.4028	LR: 0.020000
Training Epoch: 8 [14592/48750]	Loss: 0.5156	LR: 0.020000
Training Epoch: 8 [14848/48750]	Loss: 0.4557	LR: 0.020000
Training Epoch: 8 [15104/48750]	Loss: 0.4128	LR: 0.020000
Training Epoch: 8 [15360/48750]	Loss: 0.4225	LR: 0.020000
Training Epoch: 8 [15616/48750]	Loss: 0.4111	LR: 0.020000
Training Epoch: 8 [15872/48750]	Loss: 0.4488	LR: 0.020000
Training Epoch: 8 [16128/48750]	Loss: 0.4320	LR: 0.020000
Training Epoch: 8 [16384/48750]	Loss: 0.4145	LR: 0.020000
Training Epoch: 8 [16640/48750]	Loss: 0.5828	LR: 0.020000
Training Epoch: 8 [16896/48750]	Loss: 0.4354	LR: 0.020000
Training Epoch: 8 [17152/48750]	Loss: 0.3951	LR: 0.020000
Training Epoch: 8 [17408/48750]	Loss: 0.3653	LR: 0.020000
Training Epoch: 8 [17664/48750]	Loss: 0.4304	LR: 0.020000
Training Epoch: 8 [17920/48750]	Loss: 0.4406	LR: 0.020000
Training Epoch: 8 [18176/48750]	Loss: 0.5174	LR: 0.020000
Training Epoch: 8 [18432/48750]	Loss: 0.4513	LR: 0.020000
Training Epoch: 8 [18688/48750]	Loss: 0.3932	LR: 0.020000
Training Epoch: 8 [18944/48750]	Loss: 0.4101	LR: 0.020000
Training Epoch: 8 [19200/48750]	Loss: 0.4904	LR: 0.020000
Training Epoch: 8 [19456/48750]	Loss: 0.4203	LR: 0.020000
Training Epoch: 8 [19712/48750]	Loss: 0.4119	LR: 0.020000
Training Epoch: 8 [19968/48750]	Loss: 0.3870	LR: 0.020000
Training Epoch: 8 [20224/48750]	Loss: 0.4519	LR: 0.020000
Training Epoch: 8 [20480/48750]	Loss: 0.5019	LR: 0.020000
Training Epoch: 8 [20736/48750]	Loss: 0.4413	LR: 0.020000
Training Epoch: 8 [20992/48750]	Loss: 0.4013	LR: 0.020000
Training Epoch: 8 [21248/48750]	Loss: 0.3635	LR: 0.020000
Training Epoch: 8 [21504/48750]	Loss: 0.4429	LR: 0.020000
Training Epoch: 8 [21760/48750]	Loss: 0.3100	LR: 0.020000
Training Epoch: 8 [22016/48750]	Loss: 0.5910	LR: 0.020000
Training Epoch: 8 [22272/48750]	Loss: 0.3854	LR: 0.020000
Training Epoch: 8 [22528/48750]	Loss: 0.5693	LR: 0.020000
Training Epoch: 8 [22784/48750]	Loss: 0.3576	LR: 0.020000
Training Epoch: 8 [23040/48750]	Loss: 0.5405	LR: 0.020000
Training Epoch: 8 [23296/48750]	Loss: 0.3948	LR: 0.020000
Training Epoch: 8 [23552/48750]	Loss: 0.5078	LR: 0.020000
Training Epoch: 8 [23808/48750]	Loss: 0.4489	LR: 0.020000
Training Epoch: 8 [24064/48750]	Loss: 0.4526	LR: 0.020000
Training Epoch: 8 [24320/48750]	Loss: 0.4769	LR: 0.020000
Training Epoch: 8 [24576/48750]	Loss: 0.3661	LR: 0.020000
Training Epoch: 8 [24832/48750]	Loss: 0.4682	LR: 0.020000
Training Epoch: 8 [25088/48750]	Loss: 0.4254	LR: 0.020000
Training Epoch: 8 [25344/48750]	Loss: 0.4849	LR: 0.020000
Training Epoch: 8 [25600/48750]	Loss: 0.4113	LR: 0.020000
Training Epoch: 8 [25856/48750]	Loss: 0.4616	LR: 0.020000
Training Epoch: 8 [26112/48750]	Loss: 0.3552	LR: 0.020000
Training Epoch: 8 [26368/48750]	Loss: 0.4405	LR: 0.020000
Training Epoch: 8 [26624/48750]	Loss: 0.4680	LR: 0.020000
Training Epoch: 8 [26880/48750]	Loss: 0.3235	LR: 0.020000
Training Epoch: 8 [27136/48750]	Loss: 0.5322	LR: 0.020000
Training Epoch: 8 [27392/48750]	Loss: 0.3498	LR: 0.020000
Training Epoch: 8 [27648/48750]	Loss: 0.3960	LR: 0.020000
Training Epoch: 8 [27904/48750]	Loss: 0.3900	LR: 0.020000
Training Epoch: 8 [28160/48750]	Loss: 0.3879	LR: 0.020000
Training Epoch: 8 [28416/48750]	Loss: 0.4363	LR: 0.020000
Training Epoch: 8 [28672/48750]	Loss: 0.3925	LR: 0.020000
Training Epoch: 8 [28928/48750]	Loss: 0.4273	LR: 0.020000
Training Epoch: 8 [29184/48750]	Loss: 0.3969	LR: 0.020000
Training Epoch: 8 [29440/48750]	Loss: 0.4407	LR: 0.020000
Training Epoch: 8 [29696/48750]	Loss: 0.4640	LR: 0.020000
Training Epoch: 8 [29952/48750]	Loss: 0.3488	LR: 0.020000
Training Epoch: 8 [30208/48750]	Loss: 0.3299	LR: 0.020000
Training Epoch: 8 [30464/48750]	Loss: 0.3207	LR: 0.020000
Training Epoch: 8 [30720/48750]	Loss: 0.3912	LR: 0.020000
Training Epoch: 8 [30976/48750]	Loss: 0.5208	LR: 0.020000
Training Epoch: 8 [31232/48750]	Loss: 0.3562	LR: 0.020000
Training Epoch: 8 [31488/48750]	Loss: 0.4938	LR: 0.020000
Training Epoch: 8 [31744/48750]	Loss: 0.4531	LR: 0.020000
Training Epoch: 8 [32000/48750]	Loss: 0.4828	LR: 0.020000
Training Epoch: 8 [32256/48750]	Loss: 0.5132	LR: 0.020000
Training Epoch: 8 [32512/48750]	Loss: 0.4297	LR: 0.020000
Training Epoch: 8 [32768/48750]	Loss: 0.5057	LR: 0.020000
Training Epoch: 8 [33024/48750]	Loss: 0.3865	LR: 0.020000
Training Epoch: 8 [33280/48750]	Loss: 0.4379	LR: 0.020000
Training Epoch: 8 [33536/48750]	Loss: 0.3786	LR: 0.020000
Training Epoch: 8 [33792/48750]	Loss: 0.4945	LR: 0.020000
Training Epoch: 8 [34048/48750]	Loss: 0.4100	LR: 0.020000
Training Epoch: 8 [34304/48750]	Loss: 0.4724	LR: 0.020000
Training Epoch: 8 [34560/48750]	Loss: 0.4567	LR: 0.020000
Training Epoch: 8 [34816/48750]	Loss: 0.3836	LR: 0.020000
Training Epoch: 8 [35072/48750]	Loss: 0.5419	LR: 0.020000
Training Epoch: 8 [35328/48750]	Loss: 0.5116	LR: 0.020000
Training Epoch: 8 [35584/48750]	Loss: 0.4255	LR: 0.020000
Training Epoch: 8 [35840/48750]	Loss: 0.4173	LR: 0.020000
Training Epoch: 8 [36096/48750]	Loss: 0.3967	LR: 0.020000
Training Epoch: 8 [36352/48750]	Loss: 0.3746	LR: 0.020000
Training Epoch: 8 [36608/48750]	Loss: 0.5527	LR: 0.020000
Training Epoch: 8 [36864/48750]	Loss: 0.3873	LR: 0.020000
Training Epoch: 8 [37120/48750]	Loss: 0.4540	LR: 0.020000
Training Epoch: 8 [37376/48750]	Loss: 0.3760	LR: 0.020000
Training Epoch: 8 [37632/48750]	Loss: 0.4495	LR: 0.020000
Training Epoch: 8 [37888/48750]	Loss: 0.5473	LR: 0.020000
Training Epoch: 8 [38144/48750]	Loss: 0.4349	LR: 0.020000
Training Epoch: 8 [38400/48750]	Loss: 0.3956	LR: 0.020000
Training Epoch: 8 [38656/48750]	Loss: 0.3987	LR: 0.020000
Training Epoch: 8 [38912/48750]	Loss: 0.4689	LR: 0.020000
Training Epoch: 8 [39168/48750]	Loss: 0.4241	LR: 0.020000
Training Epoch: 8 [39424/48750]	Loss: 0.4863	LR: 0.020000
Training Epoch: 8 [39680/48750]	Loss: 0.4661	LR: 0.020000
Training Epoch: 8 [39936/48750]	Loss: 0.4432	LR: 0.020000
Training Epoch: 8 [40192/48750]	Loss: 0.3782	LR: 0.020000
Training Epoch: 8 [40448/48750]	Loss: 0.4018	LR: 0.020000
Training Epoch: 8 [40704/48750]	Loss: 0.4124	LR: 0.020000
Training Epoch: 8 [40960/48750]	Loss: 0.4957	LR: 0.020000
Training Epoch: 8 [41216/48750]	Loss: 0.4368	LR: 0.020000
Training Epoch: 8 [41472/48750]	Loss: 0.4287	LR: 0.020000
Training Epoch: 8 [41728/48750]	Loss: 0.3237	LR: 0.020000
Training Epoch: 8 [41984/48750]	Loss: 0.4218	LR: 0.020000
Training Epoch: 8 [42240/48750]	Loss: 0.4058	LR: 0.020000
Training Epoch: 8 [42496/48750]	Loss: 0.4994	LR: 0.020000
Training Epoch: 8 [42752/48750]	Loss: 0.4323	LR: 0.020000
Training Epoch: 8 [43008/48750]	Loss: 0.5141	LR: 0.020000
Training Epoch: 8 [43264/48750]	Loss: 0.3740	LR: 0.020000
Training Epoch: 8 [43520/48750]	Loss: 0.4066	LR: 0.020000
Training Epoch: 8 [43776/48750]	Loss: 0.4655	LR: 0.020000
Training Epoch: 8 [44032/48750]	Loss: 0.4352	LR: 0.020000
Training Epoch: 8 [44288/48750]	Loss: 0.4297	LR: 0.020000
Training Epoch: 8 [44544/48750]	Loss: 0.4293	LR: 0.020000
Training Epoch: 8 [44800/48750]	Loss: 0.3291	LR: 0.020000
Training Epoch: 8 [45056/48750]	Loss: 0.4170	LR: 0.020000
Training Epoch: 8 [45312/48750]	Loss: 0.4899	LR: 0.020000
Training Epoch: 8 [45568/48750]	Loss: 0.4459	LR: 0.020000
Training Epoch: 8 [45824/48750]	Loss: 0.4189	LR: 0.020000
Training Epoch: 8 [46080/48750]	Loss: 0.4165	LR: 0.020000
Training Epoch: 8 [46336/48750]	Loss: 0.5007	LR: 0.020000
Training Epoch: 8 [46592/48750]	Loss: 0.5120	LR: 0.020000
Training Epoch: 8 [46848/48750]	Loss: 0.4261	LR: 0.020000
Training Epoch: 8 [47104/48750]	Loss: 0.3643	LR: 0.020000
Training Epoch: 8 [47360/48750]	Loss: 0.3901	LR: 0.020000
Training Epoch: 8 [47616/48750]	Loss: 0.5025	LR: 0.020000
Training Epoch: 8 [47872/48750]	Loss: 0.3647	LR: 0.020000
Training Epoch: 8 [48128/48750]	Loss: 0.5124	LR: 0.020000
Training Epoch: 8 [48384/48750]	Loss: 0.4533	LR: 0.020000
Training Epoch: 8 [48640/48750]	Loss: 0.3370	LR: 0.020000
Training Epoch: 8 [48750/48750]	Loss: 0.4512	LR: 0.020000
Epoch 8 - Average Train Loss: 0.4443, Train Accuracy: 0.8457
Epoch 8 training time consumed: 29.94s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0017, Accuracy: 0.8570, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_20h_07m_11s/ResNet18-Cifar10-seed4-ret75-8-best.pth
Training Epoch: 9 [256/48750]	Loss: 0.4202	LR: 0.020000
Training Epoch: 9 [512/48750]	Loss: 0.4285	LR: 0.020000
Training Epoch: 9 [768/48750]	Loss: 0.3816	LR: 0.020000
Training Epoch: 9 [1024/48750]	Loss: 0.4526	LR: 0.020000
Training Epoch: 9 [1280/48750]	Loss: 0.4614	LR: 0.020000
Training Epoch: 9 [1536/48750]	Loss: 0.3925	LR: 0.020000
Training Epoch: 9 [1792/48750]	Loss: 0.4170	LR: 0.020000
Training Epoch: 9 [2048/48750]	Loss: 0.4295	LR: 0.020000
Training Epoch: 9 [2304/48750]	Loss: 0.3460	LR: 0.020000
Training Epoch: 9 [2560/48750]	Loss: 0.3186	LR: 0.020000
Training Epoch: 9 [2816/48750]	Loss: 0.4581	LR: 0.020000
Training Epoch: 9 [3072/48750]	Loss: 0.4204	LR: 0.020000
Training Epoch: 9 [3328/48750]	Loss: 0.3872	LR: 0.020000
Training Epoch: 9 [3584/48750]	Loss: 0.4158	LR: 0.020000
Training Epoch: 9 [3840/48750]	Loss: 0.3846	LR: 0.020000
Training Epoch: 9 [4096/48750]	Loss: 0.4046	LR: 0.020000
Training Epoch: 9 [4352/48750]	Loss: 0.4299	LR: 0.020000
Training Epoch: 9 [4608/48750]	Loss: 0.4180	LR: 0.020000
Training Epoch: 9 [4864/48750]	Loss: 0.4243	LR: 0.020000
Training Epoch: 9 [5120/48750]	Loss: 0.4852	LR: 0.020000
Training Epoch: 9 [5376/48750]	Loss: 0.4726	LR: 0.020000
Training Epoch: 9 [5632/48750]	Loss: 0.3754	LR: 0.020000
Training Epoch: 9 [5888/48750]	Loss: 0.4113	LR: 0.020000
Training Epoch: 9 [6144/48750]	Loss: 0.4628	LR: 0.020000
Training Epoch: 9 [6400/48750]	Loss: 0.4956	LR: 0.020000
Training Epoch: 9 [6656/48750]	Loss: 0.3941	LR: 0.020000
Training Epoch: 9 [6912/48750]	Loss: 0.3775	LR: 0.020000
Training Epoch: 9 [7168/48750]	Loss: 0.4266	LR: 0.020000
Training Epoch: 9 [7424/48750]	Loss: 0.3414	LR: 0.020000
Training Epoch: 9 [7680/48750]	Loss: 0.3781	LR: 0.020000
Training Epoch: 9 [7936/48750]	Loss: 0.3535	LR: 0.020000
Training Epoch: 9 [8192/48750]	Loss: 0.3923	LR: 0.020000
Training Epoch: 9 [8448/48750]	Loss: 0.3451	LR: 0.020000
Training Epoch: 9 [8704/48750]	Loss: 0.4060	LR: 0.020000
Training Epoch: 9 [8960/48750]	Loss: 0.3733	LR: 0.020000
Training Epoch: 9 [9216/48750]	Loss: 0.3834	LR: 0.020000
Training Epoch: 9 [9472/48750]	Loss: 0.4281	LR: 0.020000
Training Epoch: 9 [9728/48750]	Loss: 0.3691	LR: 0.020000
Training Epoch: 9 [9984/48750]	Loss: 0.3329	LR: 0.020000
Training Epoch: 9 [10240/48750]	Loss: 0.3873	LR: 0.020000
Training Epoch: 9 [10496/48750]	Loss: 0.4620	LR: 0.020000
Training Epoch: 9 [10752/48750]	Loss: 0.3765	LR: 0.020000
Training Epoch: 9 [11008/48750]	Loss: 0.3318	LR: 0.020000
Training Epoch: 9 [11264/48750]	Loss: 0.3722	LR: 0.020000
Training Epoch: 9 [11520/48750]	Loss: 0.3259	LR: 0.020000
Training Epoch: 9 [11776/48750]	Loss: 0.3511	LR: 0.020000
Training Epoch: 9 [12032/48750]	Loss: 0.3327	LR: 0.020000
Training Epoch: 9 [12288/48750]	Loss: 0.4133	LR: 0.020000
Training Epoch: 9 [12544/48750]	Loss: 0.4381	LR: 0.020000
Training Epoch: 9 [12800/48750]	Loss: 0.3773	LR: 0.020000
Training Epoch: 9 [13056/48750]	Loss: 0.3554	LR: 0.020000
Training Epoch: 9 [13312/48750]	Loss: 0.4285	LR: 0.020000
Training Epoch: 9 [13568/48750]	Loss: 0.4620	LR: 0.020000
Training Epoch: 9 [13824/48750]	Loss: 0.3837	LR: 0.020000
Training Epoch: 9 [14080/48750]	Loss: 0.4520	LR: 0.020000
Training Epoch: 9 [14336/48750]	Loss: 0.4495	LR: 0.020000
Training Epoch: 9 [14592/48750]	Loss: 0.3427	LR: 0.020000
Training Epoch: 9 [14848/48750]	Loss: 0.3815	LR: 0.020000
Training Epoch: 9 [15104/48750]	Loss: 0.4761	LR: 0.020000
Training Epoch: 9 [15360/48750]	Loss: 0.3520	LR: 0.020000
Training Epoch: 9 [15616/48750]	Loss: 0.4466	LR: 0.020000
Training Epoch: 9 [15872/48750]	Loss: 0.4003	LR: 0.020000
Training Epoch: 9 [16128/48750]	Loss: 0.4115	LR: 0.020000
Training Epoch: 9 [16384/48750]	Loss: 0.3791	LR: 0.020000
Training Epoch: 9 [16640/48750]	Loss: 0.3278	LR: 0.020000
Training Epoch: 9 [16896/48750]	Loss: 0.3553	LR: 0.020000
Training Epoch: 9 [17152/48750]	Loss: 0.3633	LR: 0.020000
Training Epoch: 9 [17408/48750]	Loss: 0.4114	LR: 0.020000
Training Epoch: 9 [17664/48750]	Loss: 0.3532	LR: 0.020000
Training Epoch: 9 [17920/48750]	Loss: 0.3887	LR: 0.020000
Training Epoch: 9 [18176/48750]	Loss: 0.4242	LR: 0.020000
Training Epoch: 9 [18432/48750]	Loss: 0.4050	LR: 0.020000
Training Epoch: 9 [18688/48750]	Loss: 0.4283	LR: 0.020000
Training Epoch: 9 [18944/48750]	Loss: 0.3689	LR: 0.020000
Training Epoch: 9 [19200/48750]	Loss: 0.4277	LR: 0.020000
Training Epoch: 9 [19456/48750]	Loss: 0.4191	LR: 0.020000
Training Epoch: 9 [19712/48750]	Loss: 0.3966	LR: 0.020000
Training Epoch: 9 [19968/48750]	Loss: 0.4086	LR: 0.020000
Training Epoch: 9 [20224/48750]	Loss: 0.3834	LR: 0.020000
Training Epoch: 9 [20480/48750]	Loss: 0.3568	LR: 0.020000
Training Epoch: 9 [20736/48750]	Loss: 0.4249	LR: 0.020000
Training Epoch: 9 [20992/48750]	Loss: 0.3745	LR: 0.020000
Training Epoch: 9 [21248/48750]	Loss: 0.3751	LR: 0.020000
Training Epoch: 9 [21504/48750]	Loss: 0.5255	LR: 0.020000
Training Epoch: 9 [21760/48750]	Loss: 0.3519	LR: 0.020000
Training Epoch: 9 [22016/48750]	Loss: 0.4179	LR: 0.020000
Training Epoch: 9 [22272/48750]	Loss: 0.4001	LR: 0.020000
Training Epoch: 9 [22528/48750]	Loss: 0.4444	LR: 0.020000
Training Epoch: 9 [22784/48750]	Loss: 0.3249	LR: 0.020000
Training Epoch: 9 [23040/48750]	Loss: 0.4363	LR: 0.020000
Training Epoch: 9 [23296/48750]	Loss: 0.3748	LR: 0.020000
Training Epoch: 9 [23552/48750]	Loss: 0.4729	LR: 0.020000
Training Epoch: 9 [23808/48750]	Loss: 0.4203	LR: 0.020000
Training Epoch: 9 [24064/48750]	Loss: 0.3382	LR: 0.020000
Training Epoch: 9 [24320/48750]	Loss: 0.4143	LR: 0.020000
Training Epoch: 9 [24576/48750]	Loss: 0.3401	LR: 0.020000
Training Epoch: 9 [24832/48750]	Loss: 0.4151	LR: 0.020000
Training Epoch: 9 [25088/48750]	Loss: 0.3870	LR: 0.020000
Training Epoch: 9 [25344/48750]	Loss: 0.3926	LR: 0.020000
Training Epoch: 9 [25600/48750]	Loss: 0.4263	LR: 0.020000
Training Epoch: 9 [25856/48750]	Loss: 0.2950	LR: 0.020000
Training Epoch: 9 [26112/48750]	Loss: 0.3728	LR: 0.020000
Training Epoch: 9 [26368/48750]	Loss: 0.5278	LR: 0.020000
Training Epoch: 9 [26624/48750]	Loss: 0.4066	LR: 0.020000
Training Epoch: 9 [26880/48750]	Loss: 0.4450	LR: 0.020000
Training Epoch: 9 [27136/48750]	Loss: 0.5642	LR: 0.020000
Training Epoch: 9 [27392/48750]	Loss: 0.4040	LR: 0.020000
Training Epoch: 9 [27648/48750]	Loss: 0.4574	LR: 0.020000
Training Epoch: 9 [27904/48750]	Loss: 0.3656	LR: 0.020000
Training Epoch: 9 [28160/48750]	Loss: 0.3959	LR: 0.020000
Training Epoch: 9 [28416/48750]	Loss: 0.5389	LR: 0.020000
Training Epoch: 9 [28672/48750]	Loss: 0.3786	LR: 0.020000
Training Epoch: 9 [28928/48750]	Loss: 0.4476	LR: 0.020000
Training Epoch: 9 [29184/48750]	Loss: 0.3798	LR: 0.020000
Training Epoch: 9 [29440/48750]	Loss: 0.3418	LR: 0.020000
Training Epoch: 9 [29696/48750]	Loss: 0.4474	LR: 0.020000
Training Epoch: 9 [29952/48750]	Loss: 0.3369	LR: 0.020000
Training Epoch: 9 [30208/48750]	Loss: 0.3561	LR: 0.020000
Training Epoch: 9 [30464/48750]	Loss: 0.4976	LR: 0.020000
Training Epoch: 9 [30720/48750]	Loss: 0.5708	LR: 0.020000
Training Epoch: 9 [30976/48750]	Loss: 0.3598	LR: 0.020000
Training Epoch: 9 [31232/48750]	Loss: 0.4002	LR: 0.020000
Training Epoch: 9 [31488/48750]	Loss: 0.3847	LR: 0.020000
Training Epoch: 9 [31744/48750]	Loss: 0.3437	LR: 0.020000
Training Epoch: 9 [32000/48750]	Loss: 0.4031	LR: 0.020000
Training Epoch: 9 [32256/48750]	Loss: 0.3744	LR: 0.020000
Training Epoch: 9 [32512/48750]	Loss: 0.3636	LR: 0.020000
Training Epoch: 9 [32768/48750]	Loss: 0.3804	LR: 0.020000
Training Epoch: 9 [33024/48750]	Loss: 0.3660	LR: 0.020000
Training Epoch: 9 [33280/48750]	Loss: 0.3671	LR: 0.020000
Training Epoch: 9 [33536/48750]	Loss: 0.3576	LR: 0.020000
Training Epoch: 9 [33792/48750]	Loss: 0.3195	LR: 0.020000
Training Epoch: 9 [34048/48750]	Loss: 0.3320	LR: 0.020000
Training Epoch: 9 [34304/48750]	Loss: 0.3647	LR: 0.020000
Training Epoch: 9 [34560/48750]	Loss: 0.3110	LR: 0.020000
Training Epoch: 9 [34816/48750]	Loss: 0.3151	LR: 0.020000
Training Epoch: 9 [35072/48750]	Loss: 0.3925	LR: 0.020000
Training Epoch: 9 [35328/48750]	Loss: 0.3480	LR: 0.020000
Training Epoch: 9 [35584/48750]	Loss: 0.3688	LR: 0.020000
Training Epoch: 9 [35840/48750]	Loss: 0.4625	LR: 0.020000
Training Epoch: 9 [36096/48750]	Loss: 0.3970	LR: 0.020000
Training Epoch: 9 [36352/48750]	Loss: 0.5139	LR: 0.020000
Training Epoch: 9 [36608/48750]	Loss: 0.3244	LR: 0.020000
Training Epoch: 9 [36864/48750]	Loss: 0.5385	LR: 0.020000
Training Epoch: 9 [37120/48750]	Loss: 0.3763	LR: 0.020000
Training Epoch: 9 [37376/48750]	Loss: 0.4666	LR: 0.020000
Training Epoch: 9 [37632/48750]	Loss: 0.4055	LR: 0.020000
Training Epoch: 9 [37888/48750]	Loss: 0.4605	LR: 0.020000
Training Epoch: 9 [38144/48750]	Loss: 0.3893	LR: 0.020000
Training Epoch: 9 [38400/48750]	Loss: 0.4435	LR: 0.020000
Training Epoch: 9 [38656/48750]	Loss: 0.4991	LR: 0.020000
Training Epoch: 9 [38912/48750]	Loss: 0.3524	LR: 0.020000
Training Epoch: 9 [39168/48750]	Loss: 0.3977	LR: 0.020000
Training Epoch: 9 [39424/48750]	Loss: 0.3208	LR: 0.020000
Training Epoch: 9 [39680/48750]	Loss: 0.3965	LR: 0.020000
Training Epoch: 9 [39936/48750]	Loss: 0.3483	LR: 0.020000
Training Epoch: 9 [40192/48750]	Loss: 0.6282	LR: 0.020000
Training Epoch: 9 [40448/48750]	Loss: 0.4380	LR: 0.020000
Training Epoch: 9 [40704/48750]	Loss: 0.3927	LR: 0.020000
Training Epoch: 9 [40960/48750]	Loss: 0.4061	LR: 0.020000
Training Epoch: 9 [41216/48750]	Loss: 0.4658	LR: 0.020000
Training Epoch: 9 [41472/48750]	Loss: 0.4113	LR: 0.020000
Training Epoch: 9 [41728/48750]	Loss: 0.3796	LR: 0.020000
Training Epoch: 9 [41984/48750]	Loss: 0.3501	LR: 0.020000
Training Epoch: 9 [42240/48750]	Loss: 0.3965	LR: 0.020000
Training Epoch: 9 [42496/48750]	Loss: 0.4123	LR: 0.020000
Training Epoch: 9 [42752/48750]	Loss: 0.3915	LR: 0.020000
Training Epoch: 9 [43008/48750]	Loss: 0.3659	LR: 0.020000
Training Epoch: 9 [43264/48750]	Loss: 0.5162	LR: 0.020000
Training Epoch: 9 [43520/48750]	Loss: 0.4129	LR: 0.020000
Training Epoch: 9 [43776/48750]	Loss: 0.5472	LR: 0.020000
Training Epoch: 9 [44032/48750]	Loss: 0.4536	LR: 0.020000
Training Epoch: 9 [44288/48750]	Loss: 0.3965	LR: 0.020000
Training Epoch: 9 [44544/48750]	Loss: 0.4011	LR: 0.020000
Training Epoch: 9 [44800/48750]	Loss: 0.5104	LR: 0.020000
Training Epoch: 9 [45056/48750]	Loss: 0.4008	LR: 0.020000
Training Epoch: 9 [45312/48750]	Loss: 0.4664	LR: 0.020000
Training Epoch: 9 [45568/48750]	Loss: 0.3969	LR: 0.020000
Training Epoch: 9 [45824/48750]	Loss: 0.4275	LR: 0.020000
Training Epoch: 9 [46080/48750]	Loss: 0.4218	LR: 0.020000
Training Epoch: 9 [46336/48750]	Loss: 0.3739	LR: 0.020000
Training Epoch: 9 [46592/48750]	Loss: 0.4605	LR: 0.020000
Training Epoch: 9 [46848/48750]	Loss: 0.4671	LR: 0.020000
Training Epoch: 9 [47104/48750]	Loss: 0.3840	LR: 0.020000
Training Epoch: 9 [47360/48750]	Loss: 0.4070	LR: 0.020000
Training Epoch: 9 [47616/48750]	Loss: 0.3608	LR: 0.020000
Training Epoch: 9 [47872/48750]	Loss: 0.3696	LR: 0.020000
Training Epoch: 9 [48128/48750]	Loss: 0.4888	LR: 0.020000
Training Epoch: 9 [48384/48750]	Loss: 0.4039	LR: 0.020000
Training Epoch: 9 [48640/48750]	Loss: 0.4329	LR: 0.020000
Training Epoch: 9 [48750/48750]	Loss: 0.4843	LR: 0.020000
Epoch 9 - Average Train Loss: 0.4053, Train Accuracy: 0.8581
Epoch 9 training time consumed: 30.01s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0016, Accuracy: 0.8650, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_20h_07m_11s/ResNet18-Cifar10-seed4-ret75-9-best.pth
Training Epoch: 10 [256/48750]	Loss: 0.4424	LR: 0.020000
Training Epoch: 10 [512/48750]	Loss: 0.3298	LR: 0.020000
Training Epoch: 10 [768/48750]	Loss: 0.3000	LR: 0.020000
Training Epoch: 10 [1024/48750]	Loss: 0.3983	LR: 0.020000
Training Epoch: 10 [1280/48750]	Loss: 0.3678	LR: 0.020000
Training Epoch: 10 [1536/48750]	Loss: 0.3374	LR: 0.020000
Training Epoch: 10 [1792/48750]	Loss: 0.4624	LR: 0.020000
Training Epoch: 10 [2048/48750]	Loss: 0.4507	LR: 0.020000
Training Epoch: 10 [2304/48750]	Loss: 0.3866	LR: 0.020000
Training Epoch: 10 [2560/48750]	Loss: 0.4091	LR: 0.020000
Training Epoch: 10 [2816/48750]	Loss: 0.4157	LR: 0.020000
Training Epoch: 10 [3072/48750]	Loss: 0.3630	LR: 0.020000
Training Epoch: 10 [3328/48750]	Loss: 0.2964	LR: 0.020000
Training Epoch: 10 [3584/48750]	Loss: 0.3628	LR: 0.020000
Training Epoch: 10 [3840/48750]	Loss: 0.4090	LR: 0.020000
Training Epoch: 10 [4096/48750]	Loss: 0.3802	LR: 0.020000
Training Epoch: 10 [4352/48750]	Loss: 0.4154	LR: 0.020000
Training Epoch: 10 [4608/48750]	Loss: 0.3703	LR: 0.020000
Training Epoch: 10 [4864/48750]	Loss: 0.3604	LR: 0.020000
Training Epoch: 10 [5120/48750]	Loss: 0.3788	LR: 0.020000
Training Epoch: 10 [5376/48750]	Loss: 0.4006	LR: 0.020000
Training Epoch: 10 [5632/48750]	Loss: 0.3441	LR: 0.020000
Training Epoch: 10 [5888/48750]	Loss: 0.4488	LR: 0.020000
Training Epoch: 10 [6144/48750]	Loss: 0.4497	LR: 0.020000
Training Epoch: 10 [6400/48750]	Loss: 0.3745	LR: 0.020000
Training Epoch: 10 [6656/48750]	Loss: 0.4253	LR: 0.020000
Training Epoch: 10 [6912/48750]	Loss: 0.3779	LR: 0.020000
Training Epoch: 10 [7168/48750]	Loss: 0.3574	LR: 0.020000
Training Epoch: 10 [7424/48750]	Loss: 0.4048	LR: 0.020000
Training Epoch: 10 [7680/48750]	Loss: 0.4344	LR: 0.020000
Training Epoch: 10 [7936/48750]	Loss: 0.4377	LR: 0.020000
Training Epoch: 10 [8192/48750]	Loss: 0.3569	LR: 0.020000
Training Epoch: 10 [8448/48750]	Loss: 0.4632	LR: 0.020000
Training Epoch: 10 [8704/48750]	Loss: 0.3991	LR: 0.020000
Training Epoch: 10 [8960/48750]	Loss: 0.4236	LR: 0.020000
Training Epoch: 10 [9216/48750]	Loss: 0.3607	LR: 0.020000
Training Epoch: 10 [9472/48750]	Loss: 0.4247	LR: 0.020000
Training Epoch: 10 [9728/48750]	Loss: 0.3866	LR: 0.020000
Training Epoch: 10 [9984/48750]	Loss: 0.3755	LR: 0.020000
Training Epoch: 10 [10240/48750]	Loss: 0.3898	LR: 0.020000
Training Epoch: 10 [10496/48750]	Loss: 0.3284	LR: 0.020000
Training Epoch: 10 [10752/48750]	Loss: 0.3995	LR: 0.020000
Training Epoch: 10 [11008/48750]	Loss: 0.3018	LR: 0.020000
Training Epoch: 10 [11264/48750]	Loss: 0.3999	LR: 0.020000
Training Epoch: 10 [11520/48750]	Loss: 0.4113	LR: 0.020000
Training Epoch: 10 [11776/48750]	Loss: 0.3611	LR: 0.020000
Training Epoch: 10 [12032/48750]	Loss: 0.3895	LR: 0.020000
Training Epoch: 10 [12288/48750]	Loss: 0.3565	LR: 0.020000
Training Epoch: 10 [12544/48750]	Loss: 0.4307	LR: 0.020000
Training Epoch: 10 [12800/48750]	Loss: 0.3343	LR: 0.020000
Training Epoch: 10 [13056/48750]	Loss: 0.3715	LR: 0.020000
Training Epoch: 10 [13312/48750]	Loss: 0.4401	LR: 0.020000
Training Epoch: 10 [13568/48750]	Loss: 0.3268	LR: 0.020000
Training Epoch: 10 [13824/48750]	Loss: 0.3679	LR: 0.020000
Training Epoch: 10 [14080/48750]	Loss: 0.2760	LR: 0.020000
Training Epoch: 10 [14336/48750]	Loss: 0.3438	LR: 0.020000
Training Epoch: 10 [14592/48750]	Loss: 0.3472	LR: 0.020000
Training Epoch: 10 [14848/48750]	Loss: 0.4577	LR: 0.020000
Training Epoch: 10 [15104/48750]	Loss: 0.4391	LR: 0.020000
Training Epoch: 10 [15360/48750]	Loss: 0.4166	LR: 0.020000
Training Epoch: 10 [15616/48750]	Loss: 0.3743	LR: 0.020000
Training Epoch: 10 [15872/48750]	Loss: 0.4285	LR: 0.020000
Training Epoch: 10 [16128/48750]	Loss: 0.3309	LR: 0.020000
Training Epoch: 10 [16384/48750]	Loss: 0.4303	LR: 0.020000
Training Epoch: 10 [16640/48750]	Loss: 0.3993	LR: 0.020000
Training Epoch: 10 [16896/48750]	Loss: 0.3588	LR: 0.020000
Training Epoch: 10 [17152/48750]	Loss: 0.3979	LR: 0.020000
Training Epoch: 10 [17408/48750]	Loss: 0.3845	LR: 0.020000
Training Epoch: 10 [17664/48750]	Loss: 0.3889	LR: 0.020000
Training Epoch: 10 [17920/48750]	Loss: 0.3241	LR: 0.020000
Training Epoch: 10 [18176/48750]	Loss: 0.3577	LR: 0.020000
Training Epoch: 10 [18432/48750]	Loss: 0.3018	LR: 0.020000
Training Epoch: 10 [18688/48750]	Loss: 0.3834	LR: 0.020000
Training Epoch: 10 [18944/48750]	Loss: 0.3117	LR: 0.020000
Training Epoch: 10 [19200/48750]	Loss: 0.4774	LR: 0.020000
Training Epoch: 10 [19456/48750]	Loss: 0.3323	LR: 0.020000
Training Epoch: 10 [19712/48750]	Loss: 0.3524	LR: 0.020000
Training Epoch: 10 [19968/48750]	Loss: 0.3498	LR: 0.020000
Training Epoch: 10 [20224/48750]	Loss: 0.3856	LR: 0.020000
Training Epoch: 10 [20480/48750]	Loss: 0.3693	LR: 0.020000
Training Epoch: 10 [20736/48750]	Loss: 0.3471	LR: 0.020000
Training Epoch: 10 [20992/48750]	Loss: 0.4527	LR: 0.020000
Training Epoch: 10 [21248/48750]	Loss: 0.4247	LR: 0.020000
Training Epoch: 10 [21504/48750]	Loss: 0.3863	LR: 0.020000
Training Epoch: 10 [21760/48750]	Loss: 0.4066	LR: 0.020000
Training Epoch: 10 [22016/48750]	Loss: 0.4634	LR: 0.020000
Training Epoch: 10 [22272/48750]	Loss: 0.3929	LR: 0.020000
Training Epoch: 10 [22528/48750]	Loss: 0.3715	LR: 0.020000
Training Epoch: 10 [22784/48750]	Loss: 0.3844	LR: 0.020000
Training Epoch: 10 [23040/48750]	Loss: 0.3517	LR: 0.020000
Training Epoch: 10 [23296/48750]	Loss: 0.3643	LR: 0.020000
Training Epoch: 10 [23552/48750]	Loss: 0.3705	LR: 0.020000
Training Epoch: 10 [23808/48750]	Loss: 0.3565	LR: 0.020000
Training Epoch: 10 [24064/48750]	Loss: 0.3812	LR: 0.020000
Training Epoch: 10 [24320/48750]	Loss: 0.4937	LR: 0.020000
Training Epoch: 10 [24576/48750]	Loss: 0.3752	LR: 0.020000
Training Epoch: 10 [24832/48750]	Loss: 0.3812	LR: 0.020000
Training Epoch: 10 [25088/48750]	Loss: 0.3758	LR: 0.020000
Training Epoch: 10 [25344/48750]	Loss: 0.3402	LR: 0.020000
Training Epoch: 10 [25600/48750]	Loss: 0.4053	LR: 0.020000
Training Epoch: 10 [25856/48750]	Loss: 0.3619	LR: 0.020000
Training Epoch: 10 [26112/48750]	Loss: 0.3511	LR: 0.020000
Training Epoch: 10 [26368/48750]	Loss: 0.3305	LR: 0.020000
Training Epoch: 10 [26624/48750]	Loss: 0.3981	LR: 0.020000
Training Epoch: 10 [26880/48750]	Loss: 0.2989	LR: 0.020000
Training Epoch: 10 [27136/48750]	Loss: 0.3742	LR: 0.020000
Training Epoch: 10 [27392/48750]	Loss: 0.4555	LR: 0.020000
Training Epoch: 10 [27648/48750]	Loss: 0.4189	LR: 0.020000
Training Epoch: 10 [27904/48750]	Loss: 0.4320	LR: 0.020000
Training Epoch: 10 [28160/48750]	Loss: 0.2878	LR: 0.020000
Training Epoch: 10 [28416/48750]	Loss: 0.3631	LR: 0.020000
Training Epoch: 10 [28672/48750]	Loss: 0.3743	LR: 0.020000
Training Epoch: 10 [28928/48750]	Loss: 0.3678	LR: 0.020000
Training Epoch: 10 [29184/48750]	Loss: 0.2856	LR: 0.020000
Training Epoch: 10 [29440/48750]	Loss: 0.4108	LR: 0.020000
Training Epoch: 10 [29696/48750]	Loss: 0.4362	LR: 0.020000
Training Epoch: 10 [29952/48750]	Loss: 0.4422	LR: 0.020000
Training Epoch: 10 [30208/48750]	Loss: 0.3492	LR: 0.020000
Training Epoch: 10 [30464/48750]	Loss: 0.3300	LR: 0.020000
Training Epoch: 10 [30720/48750]	Loss: 0.3060	LR: 0.020000
Training Epoch: 10 [30976/48750]	Loss: 0.3888	LR: 0.020000
Training Epoch: 10 [31232/48750]	Loss: 0.3436	LR: 0.020000
Training Epoch: 10 [31488/48750]	Loss: 0.3608	LR: 0.020000
Training Epoch: 10 [31744/48750]	Loss: 0.3092	LR: 0.020000
Training Epoch: 10 [32000/48750]	Loss: 0.3006	LR: 0.020000
Training Epoch: 10 [32256/48750]	Loss: 0.3038	LR: 0.020000
Training Epoch: 10 [32512/48750]	Loss: 0.4545	LR: 0.020000
Training Epoch: 10 [32768/48750]	Loss: 0.3930	LR: 0.020000
Training Epoch: 10 [33024/48750]	Loss: 0.4047	LR: 0.020000
Training Epoch: 10 [33280/48750]	Loss: 0.3460	LR: 0.020000
Training Epoch: 10 [33536/48750]	Loss: 0.3277	LR: 0.020000
Training Epoch: 10 [33792/48750]	Loss: 0.4031	LR: 0.020000
Training Epoch: 10 [34048/48750]	Loss: 0.4438	LR: 0.020000
Training Epoch: 10 [34304/48750]	Loss: 0.3559	LR: 0.020000
Training Epoch: 10 [34560/48750]	Loss: 0.4011	LR: 0.020000
Training Epoch: 10 [34816/48750]	Loss: 0.3278	LR: 0.020000
Training Epoch: 10 [35072/48750]	Loss: 0.3162	LR: 0.020000
Training Epoch: 10 [35328/48750]	Loss: 0.2808	LR: 0.020000
Training Epoch: 10 [35584/48750]	Loss: 0.3302	LR: 0.020000
Training Epoch: 10 [35840/48750]	Loss: 0.3896	LR: 0.020000
Training Epoch: 10 [36096/48750]	Loss: 0.3016	LR: 0.020000
Training Epoch: 10 [36352/48750]	Loss: 0.4198	LR: 0.020000
Training Epoch: 10 [36608/48750]	Loss: 0.3277	LR: 0.020000
Training Epoch: 10 [36864/48750]	Loss: 0.3814	LR: 0.020000
Training Epoch: 10 [37120/48750]	Loss: 0.4333	LR: 0.020000
Training Epoch: 10 [37376/48750]	Loss: 0.3877	LR: 0.020000
Training Epoch: 10 [37632/48750]	Loss: 0.4428	LR: 0.020000
Training Epoch: 10 [37888/48750]	Loss: 0.3488	LR: 0.020000
Training Epoch: 10 [38144/48750]	Loss: 0.4852	LR: 0.020000
Training Epoch: 10 [38400/48750]	Loss: 0.3274	LR: 0.020000
Training Epoch: 10 [38656/48750]	Loss: 0.2879	LR: 0.020000
Training Epoch: 10 [38912/48750]	Loss: 0.3764	LR: 0.020000
Training Epoch: 10 [39168/48750]	Loss: 0.3956	LR: 0.020000
Training Epoch: 10 [39424/48750]	Loss: 0.3588	LR: 0.020000
Training Epoch: 10 [39680/48750]	Loss: 0.4082	LR: 0.020000
Training Epoch: 10 [39936/48750]	Loss: 0.4860	LR: 0.020000
Training Epoch: 10 [40192/48750]	Loss: 0.3959	LR: 0.020000
Training Epoch: 10 [40448/48750]	Loss: 0.3588	LR: 0.020000
Training Epoch: 10 [40704/48750]	Loss: 0.4361	LR: 0.020000
Training Epoch: 10 [40960/48750]	Loss: 0.3236	LR: 0.020000
Training Epoch: 10 [41216/48750]	Loss: 0.4044	LR: 0.020000
Training Epoch: 10 [41472/48750]	Loss: 0.3104	LR: 0.020000
Training Epoch: 10 [41728/48750]	Loss: 0.3343	LR: 0.020000
Training Epoch: 10 [41984/48750]	Loss: 0.3741	LR: 0.020000
Training Epoch: 10 [42240/48750]	Loss: 0.4042	LR: 0.020000
Training Epoch: 10 [42496/48750]	Loss: 0.4136	LR: 0.020000
Training Epoch: 10 [42752/48750]	Loss: 0.4412	LR: 0.020000
Training Epoch: 10 [43008/48750]	Loss: 0.5165	LR: 0.020000
Training Epoch: 10 [43264/48750]	Loss: 0.2958	LR: 0.020000
Training Epoch: 10 [43520/48750]	Loss: 0.3636	LR: 0.020000
Training Epoch: 10 [43776/48750]	Loss: 0.5129	LR: 0.020000
Training Epoch: 10 [44032/48750]	Loss: 0.4047	LR: 0.020000
Training Epoch: 10 [44288/48750]	Loss: 0.4015	LR: 0.020000
Training Epoch: 10 [44544/48750]	Loss: 0.4509	LR: 0.020000
Training Epoch: 10 [44800/48750]	Loss: 0.3904	LR: 0.020000
Training Epoch: 10 [45056/48750]	Loss: 0.3596	LR: 0.020000
Training Epoch: 10 [45312/48750]	Loss: 0.3424	LR: 0.020000
Training Epoch: 10 [45568/48750]	Loss: 0.2686	LR: 0.020000
Training Epoch: 10 [45824/48750]	Loss: 0.3752	LR: 0.020000
Training Epoch: 10 [46080/48750]	Loss: 0.3720	LR: 0.020000
Training Epoch: 10 [46336/48750]	Loss: 0.3896	LR: 0.020000
Training Epoch: 10 [46592/48750]	Loss: 0.3912	LR: 0.020000
Training Epoch: 10 [46848/48750]	Loss: 0.3772	LR: 0.020000
Training Epoch: 10 [47104/48750]	Loss: 0.3611	LR: 0.020000
Training Epoch: 10 [47360/48750]	Loss: 0.3474	LR: 0.020000
Training Epoch: 10 [47616/48750]	Loss: 0.3565	LR: 0.020000
Training Epoch: 10 [47872/48750]	Loss: 0.3176	LR: 0.020000
Training Epoch: 10 [48128/48750]	Loss: 0.3407	LR: 0.020000
Training Epoch: 10 [48384/48750]	Loss: 0.4087	LR: 0.020000
Training Epoch: 10 [48640/48750]	Loss: 0.4445	LR: 0.020000
Training Epoch: 10 [48750/48750]	Loss: 0.2500	LR: 0.020000
Epoch 10 - Average Train Loss: 0.3794, Train Accuracy: 0.8681
Epoch 10 training time consumed: 29.73s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0016, Accuracy: 0.8652, Time consumed:1.04s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_20h_07m_11s/ResNet18-Cifar10-seed4-ret75-10-best.pth
Training Epoch: 11 [256/48750]	Loss: 0.3631	LR: 0.020000
Training Epoch: 11 [512/48750]	Loss: 0.4152	LR: 0.020000
Training Epoch: 11 [768/48750]	Loss: 0.3642	LR: 0.020000
Training Epoch: 11 [1024/48750]	Loss: 0.2828	LR: 0.020000
Training Epoch: 11 [1280/48750]	Loss: 0.3387	LR: 0.020000
Training Epoch: 11 [1536/48750]	Loss: 0.3898	LR: 0.020000
Training Epoch: 11 [1792/48750]	Loss: 0.3155	LR: 0.020000
Training Epoch: 11 [2048/48750]	Loss: 0.3327	LR: 0.020000
Training Epoch: 11 [2304/48750]	Loss: 0.3633	LR: 0.020000
Training Epoch: 11 [2560/48750]	Loss: 0.3244	LR: 0.020000
Training Epoch: 11 [2816/48750]	Loss: 0.3126	LR: 0.020000
Training Epoch: 11 [3072/48750]	Loss: 0.3025	LR: 0.020000
Training Epoch: 11 [3328/48750]	Loss: 0.3488	LR: 0.020000
Training Epoch: 11 [3584/48750]	Loss: 0.2592	LR: 0.020000
Training Epoch: 11 [3840/48750]	Loss: 0.3722	LR: 0.020000
Training Epoch: 11 [4096/48750]	Loss: 0.3867	LR: 0.020000
Training Epoch: 11 [4352/48750]	Loss: 0.4598	LR: 0.020000
Training Epoch: 11 [4608/48750]	Loss: 0.4025	LR: 0.020000
Training Epoch: 11 [4864/48750]	Loss: 0.3206	LR: 0.020000
Training Epoch: 11 [5120/48750]	Loss: 0.4129	LR: 0.020000
Training Epoch: 11 [5376/48750]	Loss: 0.3390	LR: 0.020000
Training Epoch: 11 [5632/48750]	Loss: 0.3090	LR: 0.020000
Training Epoch: 11 [5888/48750]	Loss: 0.3796	LR: 0.020000
Training Epoch: 11 [6144/48750]	Loss: 0.4320	LR: 0.020000
Training Epoch: 11 [6400/48750]	Loss: 0.3416	LR: 0.020000
Training Epoch: 11 [6656/48750]	Loss: 0.4118	LR: 0.020000
Training Epoch: 11 [6912/48750]	Loss: 0.3803	LR: 0.020000
Training Epoch: 11 [7168/48750]	Loss: 0.3386	LR: 0.020000
Training Epoch: 11 [7424/48750]	Loss: 0.3269	LR: 0.020000
Training Epoch: 11 [7680/48750]	Loss: 0.3173	LR: 0.020000
Training Epoch: 11 [7936/48750]	Loss: 0.3637	LR: 0.020000
Training Epoch: 11 [8192/48750]	Loss: 0.3727	LR: 0.020000
Training Epoch: 11 [8448/48750]	Loss: 0.3057	LR: 0.020000
Training Epoch: 11 [8704/48750]	Loss: 0.3598	LR: 0.020000
Training Epoch: 11 [8960/48750]	Loss: 0.3322	LR: 0.020000
Training Epoch: 11 [9216/48750]	Loss: 0.3076	LR: 0.020000
Training Epoch: 11 [9472/48750]	Loss: 0.4124	LR: 0.020000
Training Epoch: 11 [9728/48750]	Loss: 0.4035	LR: 0.020000
Training Epoch: 11 [9984/48750]	Loss: 0.3901	LR: 0.020000
Training Epoch: 11 [10240/48750]	Loss: 0.3513	LR: 0.020000
Training Epoch: 11 [10496/48750]	Loss: 0.2841	LR: 0.020000
Training Epoch: 11 [10752/48750]	Loss: 0.4310	LR: 0.020000
Training Epoch: 11 [11008/48750]	Loss: 0.3409	LR: 0.020000
Training Epoch: 11 [11264/48750]	Loss: 0.3126	LR: 0.020000
Training Epoch: 11 [11520/48750]	Loss: 0.4232	LR: 0.020000
Training Epoch: 11 [11776/48750]	Loss: 0.3879	LR: 0.020000
Training Epoch: 11 [12032/48750]	Loss: 0.3355	LR: 0.020000
Training Epoch: 11 [12288/48750]	Loss: 0.3259	LR: 0.020000
Training Epoch: 11 [12544/48750]	Loss: 0.3214	LR: 0.020000
Training Epoch: 11 [12800/48750]	Loss: 0.3458	LR: 0.020000
Training Epoch: 11 [13056/48750]	Loss: 0.4234	LR: 0.020000
Training Epoch: 11 [13312/48750]	Loss: 0.2958	LR: 0.020000
Training Epoch: 11 [13568/48750]	Loss: 0.2700	LR: 0.020000
Training Epoch: 11 [13824/48750]	Loss: 0.3469	LR: 0.020000
Training Epoch: 11 [14080/48750]	Loss: 0.4113	LR: 0.020000
Training Epoch: 11 [14336/48750]	Loss: 0.4566	LR: 0.020000
Training Epoch: 11 [14592/48750]	Loss: 0.4247	LR: 0.020000
Training Epoch: 11 [14848/48750]	Loss: 0.3459	LR: 0.020000
Training Epoch: 11 [15104/48750]	Loss: 0.3429	LR: 0.020000
Training Epoch: 11 [15360/48750]	Loss: 0.4024	LR: 0.020000
Training Epoch: 11 [15616/48750]	Loss: 0.4724	LR: 0.020000
Training Epoch: 11 [15872/48750]	Loss: 0.4329	LR: 0.020000
Training Epoch: 11 [16128/48750]	Loss: 0.2930	LR: 0.020000
Training Epoch: 11 [16384/48750]	Loss: 0.4212	LR: 0.020000
Training Epoch: 11 [16640/48750]	Loss: 0.2880	LR: 0.020000
Training Epoch: 11 [16896/48750]	Loss: 0.3133	LR: 0.020000
Training Epoch: 11 [17152/48750]	Loss: 0.3213	LR: 0.020000
Training Epoch: 11 [17408/48750]	Loss: 0.3595	LR: 0.020000
Training Epoch: 11 [17664/48750]	Loss: 0.3021	LR: 0.020000
Training Epoch: 11 [17920/48750]	Loss: 0.2673	LR: 0.020000
Training Epoch: 11 [18176/48750]	Loss: 0.3354	LR: 0.020000
Training Epoch: 11 [18432/48750]	Loss: 0.3591	LR: 0.020000
Training Epoch: 11 [18688/48750]	Loss: 0.3982	LR: 0.020000
Training Epoch: 11 [18944/48750]	Loss: 0.3852	LR: 0.020000
Training Epoch: 11 [19200/48750]	Loss: 0.3623	LR: 0.020000
Training Epoch: 11 [19456/48750]	Loss: 0.3508	LR: 0.020000
Training Epoch: 11 [19712/48750]	Loss: 0.3842	LR: 0.020000
Training Epoch: 11 [19968/48750]	Loss: 0.3124	LR: 0.020000
Training Epoch: 11 [20224/48750]	Loss: 0.4011	LR: 0.020000
Training Epoch: 11 [20480/48750]	Loss: 0.3793	LR: 0.020000
Training Epoch: 11 [20736/48750]	Loss: 0.3330	LR: 0.020000
Training Epoch: 11 [20992/48750]	Loss: 0.3299	LR: 0.020000
Training Epoch: 11 [21248/48750]	Loss: 0.2545	LR: 0.020000
Training Epoch: 11 [21504/48750]	Loss: 0.3564	LR: 0.020000
Training Epoch: 11 [21760/48750]	Loss: 0.3330	LR: 0.020000
Training Epoch: 11 [22016/48750]	Loss: 0.3445	LR: 0.020000
Training Epoch: 11 [22272/48750]	Loss: 0.2923	LR: 0.020000
Training Epoch: 11 [22528/48750]	Loss: 0.3331	LR: 0.020000
Training Epoch: 11 [22784/48750]	Loss: 0.3328	LR: 0.020000
Training Epoch: 11 [23040/48750]	Loss: 0.3484	LR: 0.020000
Training Epoch: 11 [23296/48750]	Loss: 0.3975	LR: 0.020000
Training Epoch: 11 [23552/48750]	Loss: 0.2572	LR: 0.020000
Training Epoch: 11 [23808/48750]	Loss: 0.2969	LR: 0.020000
Training Epoch: 11 [24064/48750]	Loss: 0.3097	LR: 0.020000
Training Epoch: 11 [24320/48750]	Loss: 0.2796	LR: 0.020000
Training Epoch: 11 [24576/48750]	Loss: 0.3593	LR: 0.020000
Training Epoch: 11 [24832/48750]	Loss: 0.3180	LR: 0.020000
Training Epoch: 11 [25088/48750]	Loss: 0.2937	LR: 0.020000
Training Epoch: 11 [25344/48750]	Loss: 0.3695	LR: 0.020000
Training Epoch: 11 [25600/48750]	Loss: 0.3098	LR: 0.020000
Training Epoch: 11 [25856/48750]	Loss: 0.3848	LR: 0.020000
Training Epoch: 11 [26112/48750]	Loss: 0.4769	LR: 0.020000
Training Epoch: 11 [26368/48750]	Loss: 0.4220	LR: 0.020000
Training Epoch: 11 [26624/48750]	Loss: 0.3265	LR: 0.020000
Training Epoch: 11 [26880/48750]	Loss: 0.4052	LR: 0.020000
Training Epoch: 11 [27136/48750]	Loss: 0.3810	LR: 0.020000
Training Epoch: 11 [27392/48750]	Loss: 0.2602	LR: 0.020000
Training Epoch: 11 [27648/48750]	Loss: 0.3772	LR: 0.020000
Training Epoch: 11 [27904/48750]	Loss: 0.3178	LR: 0.020000
Training Epoch: 11 [28160/48750]	Loss: 0.3600	LR: 0.020000
Training Epoch: 11 [28416/48750]	Loss: 0.3927	LR: 0.020000
Training Epoch: 11 [28672/48750]	Loss: 0.3362	LR: 0.020000
Training Epoch: 11 [28928/48750]	Loss: 0.3307	LR: 0.020000
Training Epoch: 11 [29184/48750]	Loss: 0.3624	LR: 0.020000
Training Epoch: 11 [29440/48750]	Loss: 0.3542	LR: 0.020000
Training Epoch: 11 [29696/48750]	Loss: 0.3621	LR: 0.020000
Training Epoch: 11 [29952/48750]	Loss: 0.3831	LR: 0.020000
Training Epoch: 11 [30208/48750]	Loss: 0.3076	LR: 0.020000
Training Epoch: 11 [30464/48750]	Loss: 0.3878	LR: 0.020000
Training Epoch: 11 [30720/48750]	Loss: 0.3996	LR: 0.020000
Training Epoch: 11 [30976/48750]	Loss: 0.2954	LR: 0.020000
Training Epoch: 11 [31232/48750]	Loss: 0.3393	LR: 0.020000
Training Epoch: 11 [31488/48750]	Loss: 0.4267	LR: 0.020000
Training Epoch: 11 [31744/48750]	Loss: 0.3744	LR: 0.020000
Training Epoch: 11 [32000/48750]	Loss: 0.4589	LR: 0.020000
Training Epoch: 11 [32256/48750]	Loss: 0.3809	LR: 0.020000
Training Epoch: 11 [32512/48750]	Loss: 0.4315	LR: 0.020000
Training Epoch: 11 [32768/48750]	Loss: 0.4133	LR: 0.020000
Training Epoch: 11 [33024/48750]	Loss: 0.4115	LR: 0.020000
Training Epoch: 11 [33280/48750]	Loss: 0.3446	LR: 0.020000
Training Epoch: 11 [33536/48750]	Loss: 0.3650	LR: 0.020000
Training Epoch: 11 [33792/48750]	Loss: 0.4569	LR: 0.020000
Training Epoch: 11 [34048/48750]	Loss: 0.3954	LR: 0.020000
Training Epoch: 11 [34304/48750]	Loss: 0.2985	LR: 0.020000
Training Epoch: 11 [34560/48750]	Loss: 0.4582	LR: 0.020000
Training Epoch: 11 [34816/48750]	Loss: 0.4492	LR: 0.020000
Training Epoch: 11 [35072/48750]	Loss: 0.3235	LR: 0.020000
Training Epoch: 11 [35328/48750]	Loss: 0.3816	LR: 0.020000
Training Epoch: 11 [35584/48750]	Loss: 0.3288	LR: 0.020000
Training Epoch: 11 [35840/48750]	Loss: 0.2706	LR: 0.020000
Training Epoch: 11 [36096/48750]	Loss: 0.3564	LR: 0.020000
Training Epoch: 11 [36352/48750]	Loss: 0.3034	LR: 0.020000
Training Epoch: 11 [36608/48750]	Loss: 0.3796	LR: 0.020000
Training Epoch: 11 [36864/48750]	Loss: 0.4429	LR: 0.020000
Training Epoch: 11 [37120/48750]	Loss: 0.3349	LR: 0.020000
Training Epoch: 11 [37376/48750]	Loss: 0.4636	LR: 0.020000
Training Epoch: 11 [37632/48750]	Loss: 0.3970	LR: 0.020000
Training Epoch: 11 [37888/48750]	Loss: 0.3036	LR: 0.020000
Training Epoch: 11 [38144/48750]	Loss: 0.4258	LR: 0.020000
Training Epoch: 11 [38400/48750]	Loss: 0.4347	LR: 0.020000
Training Epoch: 11 [38656/48750]	Loss: 0.2940	LR: 0.020000
Training Epoch: 11 [38912/48750]	Loss: 0.2663	LR: 0.020000
Training Epoch: 11 [39168/48750]	Loss: 0.3499	LR: 0.020000
Training Epoch: 11 [39424/48750]	Loss: 0.3881	LR: 0.020000
Training Epoch: 11 [39680/48750]	Loss: 0.2933	LR: 0.020000
Training Epoch: 11 [39936/48750]	Loss: 0.3195	LR: 0.020000
Training Epoch: 11 [40192/48750]	Loss: 0.4185	LR: 0.020000
Training Epoch: 11 [40448/48750]	Loss: 0.3633	LR: 0.020000
Training Epoch: 11 [40704/48750]	Loss: 0.3943	LR: 0.020000
Training Epoch: 11 [40960/48750]	Loss: 0.3109	LR: 0.020000
Training Epoch: 11 [41216/48750]	Loss: 0.3785	LR: 0.020000
Training Epoch: 11 [41472/48750]	Loss: 0.4310	LR: 0.020000
Training Epoch: 11 [41728/48750]	Loss: 0.2643	LR: 0.020000
Training Epoch: 11 [41984/48750]	Loss: 0.3375	LR: 0.020000
Training Epoch: 11 [42240/48750]	Loss: 0.3779	LR: 0.020000
Training Epoch: 11 [42496/48750]	Loss: 0.3628	LR: 0.020000
Training Epoch: 11 [42752/48750]	Loss: 0.2441	LR: 0.020000
Training Epoch: 11 [43008/48750]	Loss: 0.3692	LR: 0.020000
Training Epoch: 11 [43264/48750]	Loss: 0.3408	LR: 0.020000
Training Epoch: 11 [43520/48750]	Loss: 0.3276	LR: 0.020000
Training Epoch: 11 [43776/48750]	Loss: 0.3900	LR: 0.020000
Training Epoch: 11 [44032/48750]	Loss: 0.3934	LR: 0.020000
Training Epoch: 11 [44288/48750]	Loss: 0.3994	LR: 0.020000
Training Epoch: 11 [44544/48750]	Loss: 0.3759	LR: 0.020000
Training Epoch: 11 [44800/48750]	Loss: 0.3408	LR: 0.020000
Training Epoch: 11 [45056/48750]	Loss: 0.3770	LR: 0.020000
Training Epoch: 11 [45312/48750]	Loss: 0.3209	LR: 0.020000
Training Epoch: 11 [45568/48750]	Loss: 0.3101	LR: 0.020000
Training Epoch: 11 [45824/48750]	Loss: 0.3643	LR: 0.020000
Training Epoch: 11 [46080/48750]	Loss: 0.2679	LR: 0.020000
Training Epoch: 11 [46336/48750]	Loss: 0.4200	LR: 0.020000
Training Epoch: 11 [46592/48750]	Loss: 0.3961	LR: 0.020000
Training Epoch: 11 [46848/48750]	Loss: 0.3871	LR: 0.020000
Training Epoch: 11 [47104/48750]	Loss: 0.3247	LR: 0.020000
Training Epoch: 11 [47360/48750]	Loss: 0.4304	LR: 0.020000
Training Epoch: 11 [47616/48750]	Loss: 0.3453	LR: 0.020000
Training Epoch: 11 [47872/48750]	Loss: 0.3111	LR: 0.020000
Training Epoch: 11 [48128/48750]	Loss: 0.4517	LR: 0.020000
Training Epoch: 11 [48384/48750]	Loss: 0.3676	LR: 0.020000
Training Epoch: 11 [48640/48750]	Loss: 0.3966	LR: 0.020000
Training Epoch: 11 [48750/48750]	Loss: 0.3410	LR: 0.020000
Epoch 11 - Average Train Loss: 0.3580, Train Accuracy: 0.8745
Epoch 11 training time consumed: 29.92s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0015, Accuracy: 0.8710, Time consumed:1.07s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_20h_07m_11s/ResNet18-Cifar10-seed4-ret75-11-best.pth
Training Epoch: 12 [256/48750]	Loss: 0.3432	LR: 0.004000
Training Epoch: 12 [512/48750]	Loss: 0.3766	LR: 0.004000
Training Epoch: 12 [768/48750]	Loss: 0.3286	LR: 0.004000
Training Epoch: 12 [1024/48750]	Loss: 0.4510	LR: 0.004000
Training Epoch: 12 [1280/48750]	Loss: 0.4002	LR: 0.004000
Training Epoch: 12 [1536/48750]	Loss: 0.3136	LR: 0.004000
Training Epoch: 12 [1792/48750]	Loss: 0.2930	LR: 0.004000
Training Epoch: 12 [2048/48750]	Loss: 0.3237	LR: 0.004000
Training Epoch: 12 [2304/48750]	Loss: 0.3491	LR: 0.004000
Training Epoch: 12 [2560/48750]	Loss: 0.2947	LR: 0.004000
Training Epoch: 12 [2816/48750]	Loss: 0.3390	LR: 0.004000
Training Epoch: 12 [3072/48750]	Loss: 0.3343	LR: 0.004000
Training Epoch: 12 [3328/48750]	Loss: 0.3117	LR: 0.004000
Training Epoch: 12 [3584/48750]	Loss: 0.3377	LR: 0.004000
Training Epoch: 12 [3840/48750]	Loss: 0.2837	LR: 0.004000
Training Epoch: 12 [4096/48750]	Loss: 0.4220	LR: 0.004000
Training Epoch: 12 [4352/48750]	Loss: 0.4215	LR: 0.004000
Training Epoch: 12 [4608/48750]	Loss: 0.3224	LR: 0.004000
Training Epoch: 12 [4864/48750]	Loss: 0.2441	LR: 0.004000
Training Epoch: 12 [5120/48750]	Loss: 0.3177	LR: 0.004000
Training Epoch: 12 [5376/48750]	Loss: 0.3187	LR: 0.004000
Training Epoch: 12 [5632/48750]	Loss: 0.3145	LR: 0.004000
Training Epoch: 12 [5888/48750]	Loss: 0.3157	LR: 0.004000
Training Epoch: 12 [6144/48750]	Loss: 0.2745	LR: 0.004000
Training Epoch: 12 [6400/48750]	Loss: 0.3261	LR: 0.004000
Training Epoch: 12 [6656/48750]	Loss: 0.3350	LR: 0.004000
Training Epoch: 12 [6912/48750]	Loss: 0.4136	LR: 0.004000
Training Epoch: 12 [7168/48750]	Loss: 0.4143	LR: 0.004000
Training Epoch: 12 [7424/48750]	Loss: 0.2882	LR: 0.004000
Training Epoch: 12 [7680/48750]	Loss: 0.3863	LR: 0.004000
Training Epoch: 12 [7936/48750]	Loss: 0.3838	LR: 0.004000
Training Epoch: 12 [8192/48750]	Loss: 0.2844	LR: 0.004000
Training Epoch: 12 [8448/48750]	Loss: 0.2880	LR: 0.004000
Training Epoch: 12 [8704/48750]	Loss: 0.3109	LR: 0.004000
Training Epoch: 12 [8960/48750]	Loss: 0.2619	LR: 0.004000
Training Epoch: 12 [9216/48750]	Loss: 0.3373	LR: 0.004000
Training Epoch: 12 [9472/48750]	Loss: 0.3779	LR: 0.004000
Training Epoch: 12 [9728/48750]	Loss: 0.3729	LR: 0.004000
Training Epoch: 12 [9984/48750]	Loss: 0.3335	LR: 0.004000
Training Epoch: 12 [10240/48750]	Loss: 0.3889	LR: 0.004000
Training Epoch: 12 [10496/48750]	Loss: 0.2629	LR: 0.004000
Training Epoch: 12 [10752/48750]	Loss: 0.2973	LR: 0.004000
Training Epoch: 12 [11008/48750]	Loss: 0.2375	LR: 0.004000
Training Epoch: 12 [11264/48750]	Loss: 0.2810	LR: 0.004000
Training Epoch: 12 [11520/48750]	Loss: 0.3728	LR: 0.004000
Training Epoch: 12 [11776/48750]	Loss: 0.2058	LR: 0.004000
Training Epoch: 12 [12032/48750]	Loss: 0.3147	LR: 0.004000
Training Epoch: 12 [12288/48750]	Loss: 0.2926	LR: 0.004000
Training Epoch: 12 [12544/48750]	Loss: 0.3048	LR: 0.004000
Training Epoch: 12 [12800/48750]	Loss: 0.3072	LR: 0.004000
Training Epoch: 12 [13056/48750]	Loss: 0.3454	LR: 0.004000
Training Epoch: 12 [13312/48750]	Loss: 0.3966	LR: 0.004000
Training Epoch: 12 [13568/48750]	Loss: 0.2331	LR: 0.004000
Training Epoch: 12 [13824/48750]	Loss: 0.3570	LR: 0.004000
Training Epoch: 12 [14080/48750]	Loss: 0.3329	LR: 0.004000
Training Epoch: 12 [14336/48750]	Loss: 0.2730	LR: 0.004000
Training Epoch: 12 [14592/48750]	Loss: 0.3836	LR: 0.004000
Training Epoch: 12 [14848/48750]	Loss: 0.2985	LR: 0.004000
Training Epoch: 12 [15104/48750]	Loss: 0.3198	LR: 0.004000
Training Epoch: 12 [15360/48750]	Loss: 0.3020	LR: 0.004000
Training Epoch: 12 [15616/48750]	Loss: 0.2986	LR: 0.004000
Training Epoch: 12 [15872/48750]	Loss: 0.3327	LR: 0.004000
Training Epoch: 12 [16128/48750]	Loss: 0.2878	LR: 0.004000
Training Epoch: 12 [16384/48750]	Loss: 0.2998	LR: 0.004000
Training Epoch: 12 [16640/48750]	Loss: 0.3146	LR: 0.004000
Training Epoch: 12 [16896/48750]	Loss: 0.2557	LR: 0.004000
Training Epoch: 12 [17152/48750]	Loss: 0.3095	LR: 0.004000
Training Epoch: 12 [17408/48750]	Loss: 0.3336	LR: 0.004000
Training Epoch: 12 [17664/48750]	Loss: 0.3663	LR: 0.004000
Training Epoch: 12 [17920/48750]	Loss: 0.3176	LR: 0.004000
Training Epoch: 12 [18176/48750]	Loss: 0.2971	LR: 0.004000
Training Epoch: 12 [18432/48750]	Loss: 0.3386	LR: 0.004000
Training Epoch: 12 [18688/48750]	Loss: 0.2668	LR: 0.004000
Training Epoch: 12 [18944/48750]	Loss: 0.3169	LR: 0.004000
Training Epoch: 12 [19200/48750]	Loss: 0.3168	LR: 0.004000
Training Epoch: 12 [19456/48750]	Loss: 0.3139	LR: 0.004000
Training Epoch: 12 [19712/48750]	Loss: 0.2960	LR: 0.004000
Training Epoch: 12 [19968/48750]	Loss: 0.3060	LR: 0.004000
Training Epoch: 12 [20224/48750]	Loss: 0.3082	LR: 0.004000
Training Epoch: 12 [20480/48750]	Loss: 0.2750	LR: 0.004000
Training Epoch: 12 [20736/48750]	Loss: 0.2888	LR: 0.004000
Training Epoch: 12 [20992/48750]	Loss: 0.3303	LR: 0.004000
Training Epoch: 12 [21248/48750]	Loss: 0.2623	LR: 0.004000
Training Epoch: 12 [21504/48750]	Loss: 0.3231	LR: 0.004000
Training Epoch: 12 [21760/48750]	Loss: 0.2450	LR: 0.004000
Training Epoch: 12 [22016/48750]	Loss: 0.3307	LR: 0.004000
Training Epoch: 12 [22272/48750]	Loss: 0.3105	LR: 0.004000
Training Epoch: 12 [22528/48750]	Loss: 0.3226	LR: 0.004000
Training Epoch: 12 [22784/48750]	Loss: 0.3053	LR: 0.004000
Training Epoch: 12 [23040/48750]	Loss: 0.2277	LR: 0.004000
Training Epoch: 12 [23296/48750]	Loss: 0.2412	LR: 0.004000
Training Epoch: 12 [23552/48750]	Loss: 0.3168	LR: 0.004000
Training Epoch: 12 [23808/48750]	Loss: 0.2750	LR: 0.004000
Training Epoch: 12 [24064/48750]	Loss: 0.2986	LR: 0.004000
Training Epoch: 12 [24320/48750]	Loss: 0.3630	LR: 0.004000
Training Epoch: 12 [24576/48750]	Loss: 0.3452	LR: 0.004000
Training Epoch: 12 [24832/48750]	Loss: 0.3500	LR: 0.004000
Training Epoch: 12 [25088/48750]	Loss: 0.3765	LR: 0.004000
Training Epoch: 12 [25344/48750]	Loss: 0.2749	LR: 0.004000
Training Epoch: 12 [25600/48750]	Loss: 0.3786	LR: 0.004000
Training Epoch: 12 [25856/48750]	Loss: 0.3005	LR: 0.004000
Training Epoch: 12 [26112/48750]	Loss: 0.3011	LR: 0.004000
Training Epoch: 12 [26368/48750]	Loss: 0.3464	LR: 0.004000
Training Epoch: 12 [26624/48750]	Loss: 0.2881	LR: 0.004000
Training Epoch: 12 [26880/48750]	Loss: 0.2992	LR: 0.004000
Training Epoch: 12 [27136/48750]	Loss: 0.3002	LR: 0.004000
Training Epoch: 12 [27392/48750]	Loss: 0.3160	LR: 0.004000
Training Epoch: 12 [27648/48750]	Loss: 0.3177	LR: 0.004000
Training Epoch: 12 [27904/48750]	Loss: 0.3029	LR: 0.004000
Training Epoch: 12 [28160/48750]	Loss: 0.3685	LR: 0.004000
Training Epoch: 12 [28416/48750]	Loss: 0.2682	LR: 0.004000
Training Epoch: 12 [28672/48750]	Loss: 0.3031	LR: 0.004000
Training Epoch: 12 [28928/48750]	Loss: 0.3043	LR: 0.004000
Training Epoch: 12 [29184/48750]	Loss: 0.3359	LR: 0.004000
Training Epoch: 12 [29440/48750]	Loss: 0.3208	LR: 0.004000
Training Epoch: 12 [29696/48750]	Loss: 0.3776	LR: 0.004000
Training Epoch: 12 [29952/48750]	Loss: 0.2776	LR: 0.004000
Training Epoch: 12 [30208/48750]	Loss: 0.3407	LR: 0.004000
Training Epoch: 12 [30464/48750]	Loss: 0.2975	LR: 0.004000
Training Epoch: 12 [30720/48750]	Loss: 0.1956	LR: 0.004000
Training Epoch: 12 [30976/48750]	Loss: 0.2635	LR: 0.004000
Training Epoch: 12 [31232/48750]	Loss: 0.3667	LR: 0.004000
Training Epoch: 12 [31488/48750]	Loss: 0.3072	LR: 0.004000
Training Epoch: 12 [31744/48750]	Loss: 0.3239	LR: 0.004000
Training Epoch: 12 [32000/48750]	Loss: 0.2408	LR: 0.004000
Training Epoch: 12 [32256/48750]	Loss: 0.2736	LR: 0.004000
Training Epoch: 12 [32512/48750]	Loss: 0.2719	LR: 0.004000
Training Epoch: 12 [32768/48750]	Loss: 0.2492	LR: 0.004000
Training Epoch: 12 [33024/48750]	Loss: 0.2164	LR: 0.004000
Training Epoch: 12 [33280/48750]	Loss: 0.3229	LR: 0.004000
Training Epoch: 12 [33536/48750]	Loss: 0.3030	LR: 0.004000
Training Epoch: 12 [33792/48750]	Loss: 0.2637	LR: 0.004000
Training Epoch: 12 [34048/48750]	Loss: 0.3583	LR: 0.004000
Training Epoch: 12 [34304/48750]	Loss: 0.2633	LR: 0.004000
Training Epoch: 12 [34560/48750]	Loss: 0.2705	LR: 0.004000
Training Epoch: 12 [34816/48750]	Loss: 0.3098	LR: 0.004000
Training Epoch: 12 [35072/48750]	Loss: 0.2187	LR: 0.004000
Training Epoch: 12 [35328/48750]	Loss: 0.3147	LR: 0.004000
Training Epoch: 12 [35584/48750]	Loss: 0.2289	LR: 0.004000
Training Epoch: 12 [35840/48750]	Loss: 0.4019	LR: 0.004000
Training Epoch: 12 [36096/48750]	Loss: 0.3436	LR: 0.004000
Training Epoch: 12 [36352/48750]	Loss: 0.2928	LR: 0.004000
Training Epoch: 12 [36608/48750]	Loss: 0.3176	LR: 0.004000
Training Epoch: 12 [36864/48750]	Loss: 0.3008	LR: 0.004000
Training Epoch: 12 [37120/48750]	Loss: 0.2935	LR: 0.004000
Training Epoch: 12 [37376/48750]	Loss: 0.2865	LR: 0.004000
Training Epoch: 12 [37632/48750]	Loss: 0.3256	LR: 0.004000
Training Epoch: 12 [37888/48750]	Loss: 0.2959	LR: 0.004000
Training Epoch: 12 [38144/48750]	Loss: 0.3014	LR: 0.004000
Training Epoch: 12 [38400/48750]	Loss: 0.3276	LR: 0.004000
Training Epoch: 12 [38656/48750]	Loss: 0.3073	LR: 0.004000
Training Epoch: 12 [38912/48750]	Loss: 0.3057	LR: 0.004000
Training Epoch: 12 [39168/48750]	Loss: 0.2889	LR: 0.004000
Training Epoch: 12 [39424/48750]	Loss: 0.2992	LR: 0.004000
Training Epoch: 12 [39680/48750]	Loss: 0.3142	LR: 0.004000
Training Epoch: 12 [39936/48750]	Loss: 0.2252	LR: 0.004000
Training Epoch: 12 [40192/48750]	Loss: 0.2868	LR: 0.004000
Training Epoch: 12 [40448/48750]	Loss: 0.3607	LR: 0.004000
Training Epoch: 12 [40704/48750]	Loss: 0.3324	LR: 0.004000
Training Epoch: 12 [40960/48750]	Loss: 0.3166	LR: 0.004000
Training Epoch: 12 [41216/48750]	Loss: 0.3400	LR: 0.004000
Training Epoch: 12 [41472/48750]	Loss: 0.3322	LR: 0.004000
Training Epoch: 12 [41728/48750]	Loss: 0.2920	LR: 0.004000
Training Epoch: 12 [41984/48750]	Loss: 0.3128	LR: 0.004000
Training Epoch: 12 [42240/48750]	Loss: 0.3507	LR: 0.004000
Training Epoch: 12 [42496/48750]	Loss: 0.2982	LR: 0.004000
Training Epoch: 12 [42752/48750]	Loss: 0.3023	LR: 0.004000
Training Epoch: 12 [43008/48750]	Loss: 0.2364	LR: 0.004000
Training Epoch: 12 [43264/48750]	Loss: 0.3376	LR: 0.004000
Training Epoch: 12 [43520/48750]	Loss: 0.3498	LR: 0.004000
Training Epoch: 12 [43776/48750]	Loss: 0.3279	LR: 0.004000
Training Epoch: 12 [44032/48750]	Loss: 0.2321	LR: 0.004000
Training Epoch: 12 [44288/48750]	Loss: 0.3023	LR: 0.004000
Training Epoch: 12 [44544/48750]	Loss: 0.3085	LR: 0.004000
Training Epoch: 12 [44800/48750]	Loss: 0.3670	LR: 0.004000
Training Epoch: 12 [45056/48750]	Loss: 0.3137	LR: 0.004000
Training Epoch: 12 [45312/48750]	Loss: 0.2761	LR: 0.004000
Training Epoch: 12 [45568/48750]	Loss: 0.2966	LR: 0.004000
Training Epoch: 12 [45824/48750]	Loss: 0.2965	LR: 0.004000
Training Epoch: 12 [46080/48750]	Loss: 0.3487	LR: 0.004000
Training Epoch: 12 [46336/48750]	Loss: 0.3408	LR: 0.004000
Training Epoch: 12 [46592/48750]	Loss: 0.3525	LR: 0.004000
Training Epoch: 12 [46848/48750]	Loss: 0.2712	LR: 0.004000
Training Epoch: 12 [47104/48750]	Loss: 0.3881	LR: 0.004000
Training Epoch: 12 [47360/48750]	Loss: 0.3923	LR: 0.004000
Training Epoch: 12 [47616/48750]	Loss: 0.2561	LR: 0.004000
Training Epoch: 12 [47872/48750]	Loss: 0.3637	LR: 0.004000
Training Epoch: 12 [48128/48750]	Loss: 0.3350	LR: 0.004000
Training Epoch: 12 [48384/48750]	Loss: 0.3436	LR: 0.004000
Training Epoch: 12 [48640/48750]	Loss: 0.2716	LR: 0.004000
Training Epoch: 12 [48750/48750]	Loss: 0.2132	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3132, Train Accuracy: 0.8912
Epoch 12 training time consumed: 30.04s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0013, Accuracy: 0.8845, Time consumed:0.99s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_20h_07m_11s/ResNet18-Cifar10-seed4-ret75-12-best.pth
Training Epoch: 13 [256/48750]	Loss: 0.2077	LR: 0.004000
Training Epoch: 13 [512/48750]	Loss: 0.3653	LR: 0.004000
Training Epoch: 13 [768/48750]	Loss: 0.3356	LR: 0.004000
Training Epoch: 13 [1024/48750]	Loss: 0.3259	LR: 0.004000
Training Epoch: 13 [1280/48750]	Loss: 0.3493	LR: 0.004000
Training Epoch: 13 [1536/48750]	Loss: 0.3338	LR: 0.004000
Training Epoch: 13 [1792/48750]	Loss: 0.2542	LR: 0.004000
Training Epoch: 13 [2048/48750]	Loss: 0.3605	LR: 0.004000
Training Epoch: 13 [2304/48750]	Loss: 0.2692	LR: 0.004000
Training Epoch: 13 [2560/48750]	Loss: 0.2843	LR: 0.004000
Training Epoch: 13 [2816/48750]	Loss: 0.3631	LR: 0.004000
Training Epoch: 13 [3072/48750]	Loss: 0.3145	LR: 0.004000
Training Epoch: 13 [3328/48750]	Loss: 0.3116	LR: 0.004000
Training Epoch: 13 [3584/48750]	Loss: 0.2907	LR: 0.004000
Training Epoch: 13 [3840/48750]	Loss: 0.2902	LR: 0.004000
Training Epoch: 13 [4096/48750]	Loss: 0.3167	LR: 0.004000
Training Epoch: 13 [4352/48750]	Loss: 0.3754	LR: 0.004000
Training Epoch: 13 [4608/48750]	Loss: 0.2823	LR: 0.004000
Training Epoch: 13 [4864/48750]	Loss: 0.3165	LR: 0.004000
Training Epoch: 13 [5120/48750]	Loss: 0.3418	LR: 0.004000
Training Epoch: 13 [5376/48750]	Loss: 0.2685	LR: 0.004000
Training Epoch: 13 [5632/48750]	Loss: 0.3330	LR: 0.004000
Training Epoch: 13 [5888/48750]	Loss: 0.3026	LR: 0.004000
Training Epoch: 13 [6144/48750]	Loss: 0.3118	LR: 0.004000
Training Epoch: 13 [6400/48750]	Loss: 0.3506	LR: 0.004000
Training Epoch: 13 [6656/48750]	Loss: 0.3210	LR: 0.004000
Training Epoch: 13 [6912/48750]	Loss: 0.3201	LR: 0.004000
Training Epoch: 13 [7168/48750]	Loss: 0.2220	LR: 0.004000
Training Epoch: 13 [7424/48750]	Loss: 0.2837	LR: 0.004000
Training Epoch: 13 [7680/48750]	Loss: 0.3635	LR: 0.004000
Training Epoch: 13 [7936/48750]	Loss: 0.3653	LR: 0.004000
Training Epoch: 13 [8192/48750]	Loss: 0.3132	LR: 0.004000
Training Epoch: 13 [8448/48750]	Loss: 0.3780	LR: 0.004000
Training Epoch: 13 [8704/48750]	Loss: 0.2850	LR: 0.004000
Training Epoch: 13 [8960/48750]	Loss: 0.3540	LR: 0.004000
Training Epoch: 13 [9216/48750]	Loss: 0.3188	LR: 0.004000
Training Epoch: 13 [9472/48750]	Loss: 0.2624	LR: 0.004000
Training Epoch: 13 [9728/48750]	Loss: 0.2583	LR: 0.004000
Training Epoch: 13 [9984/48750]	Loss: 0.2728	LR: 0.004000
Training Epoch: 13 [10240/48750]	Loss: 0.2166	LR: 0.004000
Training Epoch: 13 [10496/48750]	Loss: 0.2534	LR: 0.004000
Training Epoch: 13 [10752/48750]	Loss: 0.3123	LR: 0.004000
Training Epoch: 13 [11008/48750]	Loss: 0.2237	LR: 0.004000
Training Epoch: 13 [11264/48750]	Loss: 0.2694	LR: 0.004000
Training Epoch: 13 [11520/48750]	Loss: 0.3858	LR: 0.004000
Training Epoch: 13 [11776/48750]	Loss: 0.2391	LR: 0.004000
Training Epoch: 13 [12032/48750]	Loss: 0.3197	LR: 0.004000
Training Epoch: 13 [12288/48750]	Loss: 0.3013	LR: 0.004000
Training Epoch: 13 [12544/48750]	Loss: 0.3510	LR: 0.004000
Training Epoch: 13 [12800/48750]	Loss: 0.2827	LR: 0.004000
Training Epoch: 13 [13056/48750]	Loss: 0.2612	LR: 0.004000
Training Epoch: 13 [13312/48750]	Loss: 0.3114	LR: 0.004000
Training Epoch: 13 [13568/48750]	Loss: 0.2625	LR: 0.004000
Training Epoch: 13 [13824/48750]	Loss: 0.3198	LR: 0.004000
Training Epoch: 13 [14080/48750]	Loss: 0.3905	LR: 0.004000
Training Epoch: 13 [14336/48750]	Loss: 0.2525	LR: 0.004000
Training Epoch: 13 [14592/48750]	Loss: 0.2638	LR: 0.004000
Training Epoch: 13 [14848/48750]	Loss: 0.2495	LR: 0.004000
Training Epoch: 13 [15104/48750]	Loss: 0.2770	LR: 0.004000
Training Epoch: 13 [15360/48750]	Loss: 0.3548	LR: 0.004000
Training Epoch: 13 [15616/48750]	Loss: 0.2605	LR: 0.004000
Training Epoch: 13 [15872/48750]	Loss: 0.2232	LR: 0.004000
Training Epoch: 13 [16128/48750]	Loss: 0.2932	LR: 0.004000
Training Epoch: 13 [16384/48750]	Loss: 0.2438	LR: 0.004000
Training Epoch: 13 [16640/48750]	Loss: 0.2991	LR: 0.004000
Training Epoch: 13 [16896/48750]	Loss: 0.3181	LR: 0.004000
Training Epoch: 13 [17152/48750]	Loss: 0.3123	LR: 0.004000
Training Epoch: 13 [17408/48750]	Loss: 0.3407	LR: 0.004000
Training Epoch: 13 [17664/48750]	Loss: 0.2930	LR: 0.004000
Training Epoch: 13 [17920/48750]	Loss: 0.3103	LR: 0.004000
Training Epoch: 13 [18176/48750]	Loss: 0.2751	LR: 0.004000
Training Epoch: 13 [18432/48750]	Loss: 0.2453	LR: 0.004000
Training Epoch: 13 [18688/48750]	Loss: 0.3855	LR: 0.004000
Training Epoch: 13 [18944/48750]	Loss: 0.2653	LR: 0.004000
Training Epoch: 13 [19200/48750]	Loss: 0.3142	LR: 0.004000
Training Epoch: 13 [19456/48750]	Loss: 0.3664	LR: 0.004000
Training Epoch: 13 [19712/48750]	Loss: 0.3045	LR: 0.004000
Training Epoch: 13 [19968/48750]	Loss: 0.2798	LR: 0.004000
Training Epoch: 13 [20224/48750]	Loss: 0.2467	LR: 0.004000
Training Epoch: 13 [20480/48750]	Loss: 0.3175	LR: 0.004000
Training Epoch: 13 [20736/48750]	Loss: 0.2596	LR: 0.004000
Training Epoch: 13 [20992/48750]	Loss: 0.2360	LR: 0.004000
Training Epoch: 13 [21248/48750]	Loss: 0.2740	LR: 0.004000
Training Epoch: 13 [21504/48750]	Loss: 0.2593	LR: 0.004000
Training Epoch: 13 [21760/48750]	Loss: 0.3133	LR: 0.004000
Training Epoch: 13 [22016/48750]	Loss: 0.3355	LR: 0.004000
Training Epoch: 13 [22272/48750]	Loss: 0.3789	LR: 0.004000
Training Epoch: 13 [22528/48750]	Loss: 0.2928	LR: 0.004000
Training Epoch: 13 [22784/48750]	Loss: 0.3182	LR: 0.004000
Training Epoch: 13 [23040/48750]	Loss: 0.3504	LR: 0.004000
Training Epoch: 13 [23296/48750]	Loss: 0.3141	LR: 0.004000
Training Epoch: 13 [23552/48750]	Loss: 0.2930	LR: 0.004000
Training Epoch: 13 [23808/48750]	Loss: 0.3343	LR: 0.004000
Training Epoch: 13 [24064/48750]	Loss: 0.2775	LR: 0.004000
Training Epoch: 13 [24320/48750]	Loss: 0.3437	LR: 0.004000
Training Epoch: 13 [24576/48750]	Loss: 0.2319	LR: 0.004000
Training Epoch: 13 [24832/48750]	Loss: 0.1895	LR: 0.004000
Training Epoch: 13 [25088/48750]	Loss: 0.2840	LR: 0.004000
Training Epoch: 13 [25344/48750]	Loss: 0.3238	LR: 0.004000
Training Epoch: 13 [25600/48750]	Loss: 0.3034	LR: 0.004000
Training Epoch: 13 [25856/48750]	Loss: 0.3374	LR: 0.004000
Training Epoch: 13 [26112/48750]	Loss: 0.3108	LR: 0.004000
Training Epoch: 13 [26368/48750]	Loss: 0.3077	LR: 0.004000
Training Epoch: 13 [26624/48750]	Loss: 0.2969	LR: 0.004000
Training Epoch: 13 [26880/48750]	Loss: 0.2766	LR: 0.004000
Training Epoch: 13 [27136/48750]	Loss: 0.1997	LR: 0.004000
Training Epoch: 13 [27392/48750]	Loss: 0.3814	LR: 0.004000
Training Epoch: 13 [27648/48750]	Loss: 0.3783	LR: 0.004000
Training Epoch: 13 [27904/48750]	Loss: 0.3490	LR: 0.004000
Training Epoch: 13 [28160/48750]	Loss: 0.2870	LR: 0.004000
Training Epoch: 13 [28416/48750]	Loss: 0.2962	LR: 0.004000
Training Epoch: 13 [28672/48750]	Loss: 0.3869	LR: 0.004000
Training Epoch: 13 [28928/48750]	Loss: 0.3382	LR: 0.004000
Training Epoch: 13 [29184/48750]	Loss: 0.2567	LR: 0.004000
Training Epoch: 13 [29440/48750]	Loss: 0.3742	LR: 0.004000
Training Epoch: 13 [29696/48750]	Loss: 0.2480	LR: 0.004000
Training Epoch: 13 [29952/48750]	Loss: 0.3198	LR: 0.004000
Training Epoch: 13 [30208/48750]	Loss: 0.3071	LR: 0.004000
Training Epoch: 13 [30464/48750]	Loss: 0.2607	LR: 0.004000
Training Epoch: 13 [30720/48750]	Loss: 0.3097	LR: 0.004000
Training Epoch: 13 [30976/48750]	Loss: 0.3487	LR: 0.004000
Training Epoch: 13 [31232/48750]	Loss: 0.2906	LR: 0.004000
Training Epoch: 13 [31488/48750]	Loss: 0.3267	LR: 0.004000
Training Epoch: 13 [31744/48750]	Loss: 0.2975	LR: 0.004000
Training Epoch: 13 [32000/48750]	Loss: 0.2436	LR: 0.004000
Training Epoch: 13 [32256/48750]	Loss: 0.3506	LR: 0.004000
Training Epoch: 13 [32512/48750]	Loss: 0.3354	LR: 0.004000
Training Epoch: 13 [32768/48750]	Loss: 0.3031	LR: 0.004000
Training Epoch: 13 [33024/48750]	Loss: 0.3434	LR: 0.004000
Training Epoch: 13 [33280/48750]	Loss: 0.3750	LR: 0.004000
Training Epoch: 13 [33536/48750]	Loss: 0.2710	LR: 0.004000
Training Epoch: 13 [33792/48750]	Loss: 0.2819	LR: 0.004000
Training Epoch: 13 [34048/48750]	Loss: 0.3522	LR: 0.004000
Training Epoch: 13 [34304/48750]	Loss: 0.3074	LR: 0.004000
Training Epoch: 13 [34560/48750]	Loss: 0.2375	LR: 0.004000
Training Epoch: 13 [34816/48750]	Loss: 0.2992	LR: 0.004000
Training Epoch: 13 [35072/48750]	Loss: 0.2787	LR: 0.004000
Training Epoch: 13 [35328/48750]	Loss: 0.2917	LR: 0.004000
Training Epoch: 13 [35584/48750]	Loss: 0.2449	LR: 0.004000
Training Epoch: 13 [35840/48750]	Loss: 0.2802	LR: 0.004000
Training Epoch: 13 [36096/48750]	Loss: 0.3098	LR: 0.004000
Training Epoch: 13 [36352/48750]	Loss: 0.3228	LR: 0.004000
Training Epoch: 13 [36608/48750]	Loss: 0.3106	LR: 0.004000
Training Epoch: 13 [36864/48750]	Loss: 0.3455	LR: 0.004000
Training Epoch: 13 [37120/48750]	Loss: 0.3121	LR: 0.004000
Training Epoch: 13 [37376/48750]	Loss: 0.2600	LR: 0.004000
Training Epoch: 13 [37632/48750]	Loss: 0.3662	LR: 0.004000
Training Epoch: 13 [37888/48750]	Loss: 0.3261	LR: 0.004000
Training Epoch: 13 [38144/48750]	Loss: 0.3197	LR: 0.004000
Training Epoch: 13 [38400/48750]	Loss: 0.3034	LR: 0.004000
Training Epoch: 13 [38656/48750]	Loss: 0.2949	LR: 0.004000
Training Epoch: 13 [38912/48750]	Loss: 0.2751	LR: 0.004000
Training Epoch: 13 [39168/48750]	Loss: 0.2625	LR: 0.004000
Training Epoch: 13 [39424/48750]	Loss: 0.3143	LR: 0.004000
Training Epoch: 13 [39680/48750]	Loss: 0.2579	LR: 0.004000
Training Epoch: 13 [39936/48750]	Loss: 0.3353	LR: 0.004000
Training Epoch: 13 [40192/48750]	Loss: 0.2413	LR: 0.004000
Training Epoch: 13 [40448/48750]	Loss: 0.2664	LR: 0.004000
Training Epoch: 13 [40704/48750]	Loss: 0.2569	LR: 0.004000
Training Epoch: 13 [40960/48750]	Loss: 0.2858	LR: 0.004000
Training Epoch: 13 [41216/48750]	Loss: 0.3260	LR: 0.004000
Training Epoch: 13 [41472/48750]	Loss: 0.3625	LR: 0.004000
Training Epoch: 13 [41728/48750]	Loss: 0.2690	LR: 0.004000
Training Epoch: 13 [41984/48750]	Loss: 0.2458	LR: 0.004000
Training Epoch: 13 [42240/48750]	Loss: 0.3392	LR: 0.004000
Training Epoch: 13 [42496/48750]	Loss: 0.2423	LR: 0.004000
Training Epoch: 13 [42752/48750]	Loss: 0.4130	LR: 0.004000
Training Epoch: 13 [43008/48750]	Loss: 0.2667	LR: 0.004000
Training Epoch: 13 [43264/48750]	Loss: 0.2194	LR: 0.004000
Training Epoch: 13 [43520/48750]	Loss: 0.2852	LR: 0.004000
Training Epoch: 13 [43776/48750]	Loss: 0.1939	LR: 0.004000
Training Epoch: 13 [44032/48750]	Loss: 0.3109	LR: 0.004000
Training Epoch: 13 [44288/48750]	Loss: 0.2798	LR: 0.004000
Training Epoch: 13 [44544/48750]	Loss: 0.2861	LR: 0.004000
Training Epoch: 13 [44800/48750]	Loss: 0.2662	LR: 0.004000
Training Epoch: 13 [45056/48750]	Loss: 0.2885	LR: 0.004000
Training Epoch: 13 [45312/48750]	Loss: 0.3335	LR: 0.004000
Training Epoch: 13 [45568/48750]	Loss: 0.3323	LR: 0.004000
Training Epoch: 13 [45824/48750]	Loss: 0.2644	LR: 0.004000
Training Epoch: 13 [46080/48750]	Loss: 0.2929	LR: 0.004000
Training Epoch: 13 [46336/48750]	Loss: 0.2404	LR: 0.004000
Training Epoch: 13 [46592/48750]	Loss: 0.3378	LR: 0.004000
Training Epoch: 13 [46848/48750]	Loss: 0.3713	LR: 0.004000
Training Epoch: 13 [47104/48750]	Loss: 0.2862	LR: 0.004000
Training Epoch: 13 [47360/48750]	Loss: 0.3471	LR: 0.004000
Training Epoch: 13 [47616/48750]	Loss: 0.2341	LR: 0.004000
Training Epoch: 13 [47872/48750]	Loss: 0.2322	LR: 0.004000
Training Epoch: 13 [48128/48750]	Loss: 0.2614	LR: 0.004000
Training Epoch: 13 [48384/48750]	Loss: 0.3353	LR: 0.004000
Training Epoch: 13 [48640/48750]	Loss: 0.3183	LR: 0.004000
Training Epoch: 13 [48750/48750]	Loss: 0.1774	LR: 0.004000
Epoch 13 - Average Train Loss: 0.3003, Train Accuracy: 0.8962
Epoch 13 training time consumed: 29.96s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0013, Accuracy: 0.8874, Time consumed:1.00s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_20h_07m_11s/ResNet18-Cifar10-seed4-ret75-13-best.pth
Training Epoch: 14 [256/48750]	Loss: 0.3254	LR: 0.004000
Training Epoch: 14 [512/48750]	Loss: 0.2559	LR: 0.004000
Training Epoch: 14 [768/48750]	Loss: 0.2746	LR: 0.004000
Training Epoch: 14 [1024/48750]	Loss: 0.2196	LR: 0.004000
Training Epoch: 14 [1280/48750]	Loss: 0.2863	LR: 0.004000
Training Epoch: 14 [1536/48750]	Loss: 0.3166	LR: 0.004000
Training Epoch: 14 [1792/48750]	Loss: 0.2278	LR: 0.004000
Training Epoch: 14 [2048/48750]	Loss: 0.2540	LR: 0.004000
Training Epoch: 14 [2304/48750]	Loss: 0.2755	LR: 0.004000
Training Epoch: 14 [2560/48750]	Loss: 0.3457	LR: 0.004000
Training Epoch: 14 [2816/48750]	Loss: 0.3430	LR: 0.004000
Training Epoch: 14 [3072/48750]	Loss: 0.3359	LR: 0.004000
Training Epoch: 14 [3328/48750]	Loss: 0.2725	LR: 0.004000
Training Epoch: 14 [3584/48750]	Loss: 0.3468	LR: 0.004000
Training Epoch: 14 [3840/48750]	Loss: 0.2917	LR: 0.004000
Training Epoch: 14 [4096/48750]	Loss: 0.2875	LR: 0.004000
Training Epoch: 14 [4352/48750]	Loss: 0.2878	LR: 0.004000
Training Epoch: 14 [4608/48750]	Loss: 0.2365	LR: 0.004000
Training Epoch: 14 [4864/48750]	Loss: 0.2812	LR: 0.004000
Training Epoch: 14 [5120/48750]	Loss: 0.3380	LR: 0.004000
Training Epoch: 14 [5376/48750]	Loss: 0.2493	LR: 0.004000
Training Epoch: 14 [5632/48750]	Loss: 0.3249	LR: 0.004000
Training Epoch: 14 [5888/48750]	Loss: 0.2855	LR: 0.004000
Training Epoch: 14 [6144/48750]	Loss: 0.3379	LR: 0.004000
Training Epoch: 14 [6400/48750]	Loss: 0.2822	LR: 0.004000
Training Epoch: 14 [6656/48750]	Loss: 0.3224	LR: 0.004000
Training Epoch: 14 [6912/48750]	Loss: 0.2490	LR: 0.004000
Training Epoch: 14 [7168/48750]	Loss: 0.3065	LR: 0.004000
Training Epoch: 14 [7424/48750]	Loss: 0.2789	LR: 0.004000
Training Epoch: 14 [7680/48750]	Loss: 0.3187	LR: 0.004000
Training Epoch: 14 [7936/48750]	Loss: 0.2847	LR: 0.004000
Training Epoch: 14 [8192/48750]	Loss: 0.3405	LR: 0.004000
Training Epoch: 14 [8448/48750]	Loss: 0.3327	LR: 0.004000
Training Epoch: 14 [8704/48750]	Loss: 0.2583	LR: 0.004000
Training Epoch: 14 [8960/48750]	Loss: 0.3246	LR: 0.004000
Training Epoch: 14 [9216/48750]	Loss: 0.2193	LR: 0.004000
Training Epoch: 14 [9472/48750]	Loss: 0.2529	LR: 0.004000
Training Epoch: 14 [9728/48750]	Loss: 0.2762	LR: 0.004000
Training Epoch: 14 [9984/48750]	Loss: 0.3089	LR: 0.004000
Training Epoch: 14 [10240/48750]	Loss: 0.3008	LR: 0.004000
Training Epoch: 14 [10496/48750]	Loss: 0.3751	LR: 0.004000
Training Epoch: 14 [10752/48750]	Loss: 0.2957	LR: 0.004000
Training Epoch: 14 [11008/48750]	Loss: 0.2757	LR: 0.004000
Training Epoch: 14 [11264/48750]	Loss: 0.3247	LR: 0.004000
Training Epoch: 14 [11520/48750]	Loss: 0.3075	LR: 0.004000
Training Epoch: 14 [11776/48750]	Loss: 0.2349	LR: 0.004000
Training Epoch: 14 [12032/48750]	Loss: 0.2528	LR: 0.004000
Training Epoch: 14 [12288/48750]	Loss: 0.2734	LR: 0.004000
Training Epoch: 14 [12544/48750]	Loss: 0.2851	LR: 0.004000
Training Epoch: 14 [12800/48750]	Loss: 0.2066	LR: 0.004000
Training Epoch: 14 [13056/48750]	Loss: 0.2445	LR: 0.004000
Training Epoch: 14 [13312/48750]	Loss: 0.3030	LR: 0.004000
Training Epoch: 14 [13568/48750]	Loss: 0.2950	LR: 0.004000
Training Epoch: 14 [13824/48750]	Loss: 0.3634	LR: 0.004000
Training Epoch: 14 [14080/48750]	Loss: 0.2613	LR: 0.004000
Training Epoch: 14 [14336/48750]	Loss: 0.3216	LR: 0.004000
Training Epoch: 14 [14592/48750]	Loss: 0.3156	LR: 0.004000
Training Epoch: 14 [14848/48750]	Loss: 0.1927	LR: 0.004000
Training Epoch: 14 [15104/48750]	Loss: 0.3135	LR: 0.004000
Training Epoch: 14 [15360/48750]	Loss: 0.2630	LR: 0.004000
Training Epoch: 14 [15616/48750]	Loss: 0.3644	LR: 0.004000
Training Epoch: 14 [15872/48750]	Loss: 0.3293	LR: 0.004000
Training Epoch: 14 [16128/48750]	Loss: 0.2867	LR: 0.004000
Training Epoch: 14 [16384/48750]	Loss: 0.2675	LR: 0.004000
Training Epoch: 14 [16640/48750]	Loss: 0.2776	LR: 0.004000
Training Epoch: 14 [16896/48750]	Loss: 0.2526	LR: 0.004000
Training Epoch: 14 [17152/48750]	Loss: 0.2554	LR: 0.004000
Training Epoch: 14 [17408/48750]	Loss: 0.2766	LR: 0.004000
Training Epoch: 14 [17664/48750]	Loss: 0.3029	LR: 0.004000
Training Epoch: 14 [17920/48750]	Loss: 0.3247	LR: 0.004000
Training Epoch: 14 [18176/48750]	Loss: 0.3012	LR: 0.004000
Training Epoch: 14 [18432/48750]	Loss: 0.2876	LR: 0.004000
Training Epoch: 14 [18688/48750]	Loss: 0.2950	LR: 0.004000
Training Epoch: 14 [18944/48750]	Loss: 0.3004	LR: 0.004000
Training Epoch: 14 [19200/48750]	Loss: 0.3698	LR: 0.004000
Training Epoch: 14 [19456/48750]	Loss: 0.2849	LR: 0.004000
Training Epoch: 14 [19712/48750]	Loss: 0.2634	LR: 0.004000
Training Epoch: 14 [19968/48750]	Loss: 0.3244	LR: 0.004000
Training Epoch: 14 [20224/48750]	Loss: 0.2832	LR: 0.004000
Training Epoch: 14 [20480/48750]	Loss: 0.2720	LR: 0.004000
Training Epoch: 14 [20736/48750]	Loss: 0.2433	LR: 0.004000
Training Epoch: 14 [20992/48750]	Loss: 0.2271	LR: 0.004000
Training Epoch: 14 [21248/48750]	Loss: 0.3208	LR: 0.004000
Training Epoch: 14 [21504/48750]	Loss: 0.3726	LR: 0.004000
Training Epoch: 14 [21760/48750]	Loss: 0.2298	LR: 0.004000
Training Epoch: 14 [22016/48750]	Loss: 0.2453	LR: 0.004000
Training Epoch: 14 [22272/48750]	Loss: 0.3228	LR: 0.004000
Training Epoch: 14 [22528/48750]	Loss: 0.3255	LR: 0.004000
Training Epoch: 14 [22784/48750]	Loss: 0.2882	LR: 0.004000
Training Epoch: 14 [23040/48750]	Loss: 0.3087	LR: 0.004000
Training Epoch: 14 [23296/48750]	Loss: 0.2486	LR: 0.004000
Training Epoch: 14 [23552/48750]	Loss: 0.2875	LR: 0.004000
Training Epoch: 14 [23808/48750]	Loss: 0.3738	LR: 0.004000
Training Epoch: 14 [24064/48750]	Loss: 0.2550	LR: 0.004000
Training Epoch: 14 [24320/48750]	Loss: 0.2500	LR: 0.004000
Training Epoch: 14 [24576/48750]	Loss: 0.3106	LR: 0.004000
Training Epoch: 14 [24832/48750]	Loss: 0.3047	LR: 0.004000
Training Epoch: 14 [25088/48750]	Loss: 0.2692	LR: 0.004000
Training Epoch: 14 [25344/48750]	Loss: 0.3364	LR: 0.004000
Training Epoch: 14 [25600/48750]	Loss: 0.2629	LR: 0.004000
Training Epoch: 14 [25856/48750]	Loss: 0.2986	LR: 0.004000
Training Epoch: 14 [26112/48750]	Loss: 0.2795	LR: 0.004000
Training Epoch: 14 [26368/48750]	Loss: 0.2386	LR: 0.004000
Training Epoch: 14 [26624/48750]	Loss: 0.2637	LR: 0.004000
Training Epoch: 14 [26880/48750]	Loss: 0.3283	LR: 0.004000
Training Epoch: 14 [27136/48750]	Loss: 0.2340	LR: 0.004000
Training Epoch: 14 [27392/48750]	Loss: 0.2694	LR: 0.004000
Training Epoch: 14 [27648/48750]	Loss: 0.3179	LR: 0.004000
Training Epoch: 14 [27904/48750]	Loss: 0.3129	LR: 0.004000
Training Epoch: 14 [28160/48750]	Loss: 0.2995	LR: 0.004000
Training Epoch: 14 [28416/48750]	Loss: 0.3082	LR: 0.004000
Training Epoch: 14 [28672/48750]	Loss: 0.2570	LR: 0.004000
Training Epoch: 14 [28928/48750]	Loss: 0.3046	LR: 0.004000
Training Epoch: 14 [29184/48750]	Loss: 0.2621	LR: 0.004000
Training Epoch: 14 [29440/48750]	Loss: 0.3129	LR: 0.004000
Training Epoch: 14 [29696/48750]	Loss: 0.2988	LR: 0.004000
Training Epoch: 14 [29952/48750]	Loss: 0.3736	LR: 0.004000
Training Epoch: 14 [30208/48750]	Loss: 0.3851	LR: 0.004000
Training Epoch: 14 [30464/48750]	Loss: 0.2708	LR: 0.004000
Training Epoch: 14 [30720/48750]	Loss: 0.3846	LR: 0.004000
Training Epoch: 14 [30976/48750]	Loss: 0.3087	LR: 0.004000
Training Epoch: 14 [31232/48750]	Loss: 0.3700	LR: 0.004000
Training Epoch: 14 [31488/48750]	Loss: 0.2360	LR: 0.004000
Training Epoch: 14 [31744/48750]	Loss: 0.2204	LR: 0.004000
Training Epoch: 14 [32000/48750]	Loss: 0.3106	LR: 0.004000
Training Epoch: 14 [32256/48750]	Loss: 0.3015	LR: 0.004000
Training Epoch: 14 [32512/48750]	Loss: 0.3149	LR: 0.004000
Training Epoch: 14 [32768/48750]	Loss: 0.4123	LR: 0.004000
Training Epoch: 14 [33024/48750]	Loss: 0.2928	LR: 0.004000
Training Epoch: 14 [33280/48750]	Loss: 0.2926	LR: 0.004000
Training Epoch: 14 [33536/48750]	Loss: 0.3425	LR: 0.004000
Training Epoch: 14 [33792/48750]	Loss: 0.2699	LR: 0.004000
Training Epoch: 14 [34048/48750]	Loss: 0.2678	LR: 0.004000
Training Epoch: 14 [34304/48750]	Loss: 0.2653	LR: 0.004000
Training Epoch: 14 [34560/48750]	Loss: 0.2882	LR: 0.004000
Training Epoch: 14 [34816/48750]	Loss: 0.2807	LR: 0.004000
Training Epoch: 14 [35072/48750]	Loss: 0.2958	LR: 0.004000
Training Epoch: 14 [35328/48750]	Loss: 0.2817	LR: 0.004000
Training Epoch: 14 [35584/48750]	Loss: 0.3378	LR: 0.004000
Training Epoch: 14 [35840/48750]	Loss: 0.3237	LR: 0.004000
Training Epoch: 14 [36096/48750]	Loss: 0.3019	LR: 0.004000
Training Epoch: 14 [36352/48750]	Loss: 0.2573	LR: 0.004000
Training Epoch: 14 [36608/48750]	Loss: 0.2911	LR: 0.004000
Training Epoch: 14 [36864/48750]	Loss: 0.3345	LR: 0.004000
Training Epoch: 14 [37120/48750]	Loss: 0.2328	LR: 0.004000
Training Epoch: 14 [37376/48750]	Loss: 0.3923	LR: 0.004000
Training Epoch: 14 [37632/48750]	Loss: 0.3005	LR: 0.004000
Training Epoch: 14 [37888/48750]	Loss: 0.2913	LR: 0.004000
Training Epoch: 14 [38144/48750]	Loss: 0.3867	LR: 0.004000
Training Epoch: 14 [38400/48750]	Loss: 0.2955	LR: 0.004000
Training Epoch: 14 [38656/48750]	Loss: 0.2745	LR: 0.004000
Training Epoch: 14 [38912/48750]	Loss: 0.3111	LR: 0.004000
Training Epoch: 14 [39168/48750]	Loss: 0.2525	LR: 0.004000
Training Epoch: 14 [39424/48750]	Loss: 0.3286	LR: 0.004000
Training Epoch: 14 [39680/48750]	Loss: 0.3253	LR: 0.004000
Training Epoch: 14 [39936/48750]	Loss: 0.3488	LR: 0.004000
Training Epoch: 14 [40192/48750]	Loss: 0.2871	LR: 0.004000
Training Epoch: 14 [40448/48750]	Loss: 0.3644	LR: 0.004000
Training Epoch: 14 [40704/48750]	Loss: 0.3142	LR: 0.004000
Training Epoch: 14 [40960/48750]	Loss: 0.3442	LR: 0.004000
Training Epoch: 14 [41216/48750]	Loss: 0.3238	LR: 0.004000
Training Epoch: 14 [41472/48750]	Loss: 0.3114	LR: 0.004000
Training Epoch: 14 [41728/48750]	Loss: 0.3085	LR: 0.004000
Training Epoch: 14 [41984/48750]	Loss: 0.2779	LR: 0.004000
Training Epoch: 14 [42240/48750]	Loss: 0.2493	LR: 0.004000
Training Epoch: 14 [42496/48750]	Loss: 0.2865	LR: 0.004000
Training Epoch: 14 [42752/48750]	Loss: 0.2071	LR: 0.004000
Training Epoch: 14 [43008/48750]	Loss: 0.2528	LR: 0.004000
Training Epoch: 14 [43264/48750]	Loss: 0.3112	LR: 0.004000
Training Epoch: 14 [43520/48750]	Loss: 0.2781	LR: 0.004000
Training Epoch: 14 [43776/48750]	Loss: 0.2603	LR: 0.004000
Training Epoch: 14 [44032/48750]	Loss: 0.1992	LR: 0.004000
Training Epoch: 14 [44288/48750]	Loss: 0.3382	LR: 0.004000
Training Epoch: 14 [44544/48750]	Loss: 0.2811	LR: 0.004000
Training Epoch: 14 [44800/48750]	Loss: 0.2625	LR: 0.004000
Training Epoch: 14 [45056/48750]	Loss: 0.3448	LR: 0.004000
Training Epoch: 14 [45312/48750]	Loss: 0.2726	LR: 0.004000
Training Epoch: 14 [45568/48750]	Loss: 0.3171	LR: 0.004000
Training Epoch: 14 [45824/48750]	Loss: 0.3589	LR: 0.004000
Training Epoch: 14 [46080/48750]	Loss: 0.2764	LR: 0.004000
Training Epoch: 14 [46336/48750]	Loss: 0.3482	LR: 0.004000
Training Epoch: 14 [46592/48750]	Loss: 0.2305	LR: 0.004000
Training Epoch: 14 [46848/48750]	Loss: 0.2983	LR: 0.004000
Training Epoch: 14 [47104/48750]	Loss: 0.3014	LR: 0.004000
Training Epoch: 14 [47360/48750]	Loss: 0.3081	LR: 0.004000
Training Epoch: 14 [47616/48750]	Loss: 0.2213	LR: 0.004000
Training Epoch: 14 [47872/48750]	Loss: 0.2760	LR: 0.004000
Training Epoch: 14 [48128/48750]	Loss: 0.3387	LR: 0.004000
Training Epoch: 14 [48384/48750]	Loss: 0.3572	LR: 0.004000
Training Epoch: 14 [48640/48750]	Loss: 0.2863	LR: 0.004000
Training Epoch: 14 [48750/48750]	Loss: 0.2745	LR: 0.004000
Epoch 14 - Average Train Loss: 0.2947, Train Accuracy: 0.8976
Epoch 14 training time consumed: 29.87s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0013, Accuracy: 0.8896, Time consumed:0.98s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_20h_07m_11s/ResNet18-Cifar10-seed4-ret75-14-best.pth
Training Epoch: 15 [256/48750]	Loss: 0.3475	LR: 0.004000
Training Epoch: 15 [512/48750]	Loss: 0.2876	LR: 0.004000
Training Epoch: 15 [768/48750]	Loss: 0.2138	LR: 0.004000
Training Epoch: 15 [1024/48750]	Loss: 0.3108	LR: 0.004000
Training Epoch: 15 [1280/48750]	Loss: 0.2543	LR: 0.004000
Training Epoch: 15 [1536/48750]	Loss: 0.2573	LR: 0.004000
Training Epoch: 15 [1792/48750]	Loss: 0.2060	LR: 0.004000
Training Epoch: 15 [2048/48750]	Loss: 0.2956	LR: 0.004000
Training Epoch: 15 [2304/48750]	Loss: 0.4093	LR: 0.004000
Training Epoch: 15 [2560/48750]	Loss: 0.4147	LR: 0.004000
Training Epoch: 15 [2816/48750]	Loss: 0.3039	LR: 0.004000
Training Epoch: 15 [3072/48750]	Loss: 0.2622	LR: 0.004000
Training Epoch: 15 [3328/48750]	Loss: 0.2374	LR: 0.004000
Training Epoch: 15 [3584/48750]	Loss: 0.2773	LR: 0.004000
Training Epoch: 15 [3840/48750]	Loss: 0.2384	LR: 0.004000
Training Epoch: 15 [4096/48750]	Loss: 0.3569	LR: 0.004000
Training Epoch: 15 [4352/48750]	Loss: 0.2647	LR: 0.004000
Training Epoch: 15 [4608/48750]	Loss: 0.2722	LR: 0.004000
Training Epoch: 15 [4864/48750]	Loss: 0.3277	LR: 0.004000
Training Epoch: 15 [5120/48750]	Loss: 0.2796	LR: 0.004000
Training Epoch: 15 [5376/48750]	Loss: 0.4002	LR: 0.004000
Training Epoch: 15 [5632/48750]	Loss: 0.3305	LR: 0.004000
Training Epoch: 15 [5888/48750]	Loss: 0.2493	LR: 0.004000
Training Epoch: 15 [6144/48750]	Loss: 0.3066	LR: 0.004000
Training Epoch: 15 [6400/48750]	Loss: 0.3877	LR: 0.004000
Training Epoch: 15 [6656/48750]	Loss: 0.2748	LR: 0.004000
Training Epoch: 15 [6912/48750]	Loss: 0.2433	LR: 0.004000
Training Epoch: 15 [7168/48750]	Loss: 0.2255	LR: 0.004000
Training Epoch: 15 [7424/48750]	Loss: 0.2234	LR: 0.004000
Training Epoch: 15 [7680/48750]	Loss: 0.2269	LR: 0.004000
Training Epoch: 15 [7936/48750]	Loss: 0.2879	LR: 0.004000
Training Epoch: 15 [8192/48750]	Loss: 0.3584	LR: 0.004000
Training Epoch: 15 [8448/48750]	Loss: 0.2816	LR: 0.004000
Training Epoch: 15 [8704/48750]	Loss: 0.2659	LR: 0.004000
Training Epoch: 15 [8960/48750]	Loss: 0.2332	LR: 0.004000
Training Epoch: 15 [9216/48750]	Loss: 0.2598	LR: 0.004000
Training Epoch: 15 [9472/48750]	Loss: 0.2437	LR: 0.004000
Training Epoch: 15 [9728/48750]	Loss: 0.2728	LR: 0.004000
Training Epoch: 15 [9984/48750]	Loss: 0.2351	LR: 0.004000
Training Epoch: 15 [10240/48750]	Loss: 0.3699	LR: 0.004000
Training Epoch: 15 [10496/48750]	Loss: 0.3656	LR: 0.004000
Training Epoch: 15 [10752/48750]	Loss: 0.2928	LR: 0.004000
Training Epoch: 15 [11008/48750]	Loss: 0.3656	LR: 0.004000
Training Epoch: 15 [11264/48750]	Loss: 0.4033	LR: 0.004000
Training Epoch: 15 [11520/48750]	Loss: 0.2625	LR: 0.004000
Training Epoch: 15 [11776/48750]	Loss: 0.3370	LR: 0.004000
Training Epoch: 15 [12032/48750]	Loss: 0.2719	LR: 0.004000
Training Epoch: 15 [12288/48750]	Loss: 0.3050	LR: 0.004000
Training Epoch: 15 [12544/48750]	Loss: 0.2753	LR: 0.004000
Training Epoch: 15 [12800/48750]	Loss: 0.3284	LR: 0.004000
Training Epoch: 15 [13056/48750]	Loss: 0.3039	LR: 0.004000
Training Epoch: 15 [13312/48750]	Loss: 0.3120	LR: 0.004000
Training Epoch: 15 [13568/48750]	Loss: 0.2952	LR: 0.004000
Training Epoch: 15 [13824/48750]	Loss: 0.2838	LR: 0.004000
Training Epoch: 15 [14080/48750]	Loss: 0.2982	LR: 0.004000
Training Epoch: 15 [14336/48750]	Loss: 0.2320	LR: 0.004000
Training Epoch: 15 [14592/48750]	Loss: 0.3679	LR: 0.004000
Training Epoch: 15 [14848/48750]	Loss: 0.2810	LR: 0.004000
Training Epoch: 15 [15104/48750]	Loss: 0.3148	LR: 0.004000
Training Epoch: 15 [15360/48750]	Loss: 0.2817	LR: 0.004000
Training Epoch: 15 [15616/48750]	Loss: 0.2743	LR: 0.004000
Training Epoch: 15 [15872/48750]	Loss: 0.2433	LR: 0.004000
Training Epoch: 15 [16128/48750]	Loss: 0.2522	LR: 0.004000
Training Epoch: 15 [16384/48750]	Loss: 0.2710	LR: 0.004000
Training Epoch: 15 [16640/48750]	Loss: 0.3020	LR: 0.004000
Training Epoch: 15 [16896/48750]	Loss: 0.2758	LR: 0.004000
Training Epoch: 15 [17152/48750]	Loss: 0.3396	LR: 0.004000
Training Epoch: 15 [17408/48750]	Loss: 0.3121	LR: 0.004000
Training Epoch: 15 [17664/48750]	Loss: 0.2659	LR: 0.004000
Training Epoch: 15 [17920/48750]	Loss: 0.2503	LR: 0.004000
Training Epoch: 15 [18176/48750]	Loss: 0.2723	LR: 0.004000
Training Epoch: 15 [18432/48750]	Loss: 0.3413	LR: 0.004000
Training Epoch: 15 [18688/48750]	Loss: 0.2817	LR: 0.004000
Training Epoch: 15 [18944/48750]	Loss: 0.2412	LR: 0.004000
Training Epoch: 15 [19200/48750]	Loss: 0.2585	LR: 0.004000
Training Epoch: 15 [19456/48750]	Loss: 0.2019	LR: 0.004000
Training Epoch: 15 [19712/48750]	Loss: 0.3017	LR: 0.004000
Training Epoch: 15 [19968/48750]	Loss: 0.2703	LR: 0.004000
Training Epoch: 15 [20224/48750]	Loss: 0.2599	LR: 0.004000
Training Epoch: 15 [20480/48750]	Loss: 0.2361	LR: 0.004000
Training Epoch: 15 [20736/48750]	Loss: 0.2672	LR: 0.004000
Training Epoch: 15 [20992/48750]	Loss: 0.3267	LR: 0.004000
Training Epoch: 15 [21248/48750]	Loss: 0.2875	LR: 0.004000
Training Epoch: 15 [21504/48750]	Loss: 0.2769	LR: 0.004000
Training Epoch: 15 [21760/48750]	Loss: 0.2710	LR: 0.004000
Training Epoch: 15 [22016/48750]	Loss: 0.1877	LR: 0.004000
Training Epoch: 15 [22272/48750]	Loss: 0.2636	LR: 0.004000
Training Epoch: 15 [22528/48750]	Loss: 0.3461	LR: 0.004000
Training Epoch: 15 [22784/48750]	Loss: 0.2586	LR: 0.004000
Training Epoch: 15 [23040/48750]	Loss: 0.3336	LR: 0.004000
Training Epoch: 15 [23296/48750]	Loss: 0.2739	LR: 0.004000
Training Epoch: 15 [23552/48750]	Loss: 0.2993	LR: 0.004000
Training Epoch: 15 [23808/48750]	Loss: 0.2769	LR: 0.004000
Training Epoch: 15 [24064/48750]	Loss: 0.2552	LR: 0.004000
Training Epoch: 15 [24320/48750]	Loss: 0.3193	LR: 0.004000
Training Epoch: 15 [24576/48750]	Loss: 0.2808	LR: 0.004000
Training Epoch: 15 [24832/48750]	Loss: 0.3389	LR: 0.004000
Training Epoch: 15 [25088/48750]	Loss: 0.3345	LR: 0.004000
Training Epoch: 15 [25344/48750]	Loss: 0.2639	LR: 0.004000
Training Epoch: 15 [25600/48750]	Loss: 0.2919	LR: 0.004000
Training Epoch: 15 [25856/48750]	Loss: 0.2587	LR: 0.004000
Training Epoch: 15 [26112/48750]	Loss: 0.2625	LR: 0.004000
Training Epoch: 15 [26368/48750]	Loss: 0.2492	LR: 0.004000
Training Epoch: 15 [26624/48750]	Loss: 0.2562	LR: 0.004000
Training Epoch: 15 [26880/48750]	Loss: 0.2897	LR: 0.004000
Training Epoch: 15 [27136/48750]	Loss: 0.3100	LR: 0.004000
Training Epoch: 15 [27392/48750]	Loss: 0.2630	LR: 0.004000
Training Epoch: 15 [27648/48750]	Loss: 0.3735	LR: 0.004000
Training Epoch: 15 [27904/48750]	Loss: 0.1630	LR: 0.004000
Training Epoch: 15 [28160/48750]	Loss: 0.2852	LR: 0.004000
Training Epoch: 15 [28416/48750]	Loss: 0.2119	LR: 0.004000
Training Epoch: 15 [28672/48750]	Loss: 0.2506	LR: 0.004000
Training Epoch: 15 [28928/48750]	Loss: 0.2564	LR: 0.004000
Training Epoch: 15 [29184/48750]	Loss: 0.2893	LR: 0.004000
Training Epoch: 15 [29440/48750]	Loss: 0.3405	LR: 0.004000
Training Epoch: 15 [29696/48750]	Loss: 0.3341	LR: 0.004000
Training Epoch: 15 [29952/48750]	Loss: 0.3184	LR: 0.004000
Training Epoch: 15 [30208/48750]	Loss: 0.2960	LR: 0.004000
Training Epoch: 15 [30464/48750]	Loss: 0.2252	LR: 0.004000
Training Epoch: 15 [30720/48750]	Loss: 0.2915	LR: 0.004000
Training Epoch: 15 [30976/48750]	Loss: 0.3502	LR: 0.004000
Training Epoch: 15 [31232/48750]	Loss: 0.2737	LR: 0.004000
Training Epoch: 15 [31488/48750]	Loss: 0.3044	LR: 0.004000
Training Epoch: 15 [31744/48750]	Loss: 0.3884	LR: 0.004000
Training Epoch: 15 [32000/48750]	Loss: 0.3212	LR: 0.004000
Training Epoch: 15 [32256/48750]	Loss: 0.3223	LR: 0.004000
Training Epoch: 15 [32512/48750]	Loss: 0.4044	LR: 0.004000
Training Epoch: 15 [32768/48750]	Loss: 0.2746	LR: 0.004000
Training Epoch: 15 [33024/48750]	Loss: 0.2885	LR: 0.004000
Training Epoch: 15 [33280/48750]	Loss: 0.2119	LR: 0.004000
Training Epoch: 15 [33536/48750]	Loss: 0.2641	LR: 0.004000
Training Epoch: 15 [33792/48750]	Loss: 0.2959	LR: 0.004000
Training Epoch: 15 [34048/48750]	Loss: 0.2745	LR: 0.004000
Training Epoch: 15 [34304/48750]	Loss: 0.3471	LR: 0.004000
Training Epoch: 15 [34560/48750]	Loss: 0.2591	LR: 0.004000
Training Epoch: 15 [34816/48750]	Loss: 0.3555	LR: 0.004000
Training Epoch: 15 [35072/48750]	Loss: 0.3563	LR: 0.004000
Training Epoch: 15 [35328/48750]	Loss: 0.2613	LR: 0.004000
Training Epoch: 15 [35584/48750]	Loss: 0.3019	LR: 0.004000
Training Epoch: 15 [35840/48750]	Loss: 0.2452	LR: 0.004000
Training Epoch: 15 [36096/48750]	Loss: 0.2634	LR: 0.004000
Training Epoch: 15 [36352/48750]	Loss: 0.3596	LR: 0.004000
Training Epoch: 15 [36608/48750]	Loss: 0.2752	LR: 0.004000
Training Epoch: 15 [36864/48750]	Loss: 0.2325	LR: 0.004000
Training Epoch: 15 [37120/48750]	Loss: 0.3267	LR: 0.004000
Training Epoch: 15 [37376/48750]	Loss: 0.2611	LR: 0.004000
Training Epoch: 15 [37632/48750]	Loss: 0.3058	LR: 0.004000
Training Epoch: 15 [37888/48750]	Loss: 0.2332	LR: 0.004000
Training Epoch: 15 [38144/48750]	Loss: 0.3060	LR: 0.004000
Training Epoch: 15 [38400/48750]	Loss: 0.2560	LR: 0.004000
Training Epoch: 15 [38656/48750]	Loss: 0.2611	LR: 0.004000
Training Epoch: 15 [38912/48750]	Loss: 0.2756	LR: 0.004000
Training Epoch: 15 [39168/48750]	Loss: 0.2883	LR: 0.004000
Training Epoch: 15 [39424/48750]	Loss: 0.2307	LR: 0.004000
Training Epoch: 15 [39680/48750]	Loss: 0.3084	LR: 0.004000
Training Epoch: 15 [39936/48750]	Loss: 0.3290	LR: 0.004000
Training Epoch: 15 [40192/48750]	Loss: 0.3307	LR: 0.004000
Training Epoch: 15 [40448/48750]	Loss: 0.2128	LR: 0.004000
Training Epoch: 15 [40704/48750]	Loss: 0.2415	LR: 0.004000
Training Epoch: 15 [40960/48750]	Loss: 0.2867	LR: 0.004000
Training Epoch: 15 [41216/48750]	Loss: 0.2918	LR: 0.004000
Training Epoch: 15 [41472/48750]	Loss: 0.2561	LR: 0.004000
Training Epoch: 15 [41728/48750]	Loss: 0.2092	LR: 0.004000
Training Epoch: 15 [41984/48750]	Loss: 0.4219	LR: 0.004000
Training Epoch: 15 [42240/48750]	Loss: 0.2375	LR: 0.004000
Training Epoch: 15 [42496/48750]	Loss: 0.2435	LR: 0.004000
Training Epoch: 15 [42752/48750]	Loss: 0.2103	LR: 0.004000
Training Epoch: 15 [43008/48750]	Loss: 0.2894	LR: 0.004000
Training Epoch: 15 [43264/48750]	Loss: 0.3159	LR: 0.004000
Training Epoch: 15 [43520/48750]	Loss: 0.3033	LR: 0.004000
Training Epoch: 15 [43776/48750]	Loss: 0.3406	LR: 0.004000
Training Epoch: 15 [44032/48750]	Loss: 0.2916	LR: 0.004000
Training Epoch: 15 [44288/48750]	Loss: 0.3222	LR: 0.004000
Training Epoch: 15 [44544/48750]	Loss: 0.3094	LR: 0.004000
Training Epoch: 15 [44800/48750]	Loss: 0.2692	LR: 0.004000
Training Epoch: 15 [45056/48750]	Loss: 0.2801	LR: 0.004000
Training Epoch: 15 [45312/48750]	Loss: 0.3259	LR: 0.004000
Training Epoch: 15 [45568/48750]	Loss: 0.2392	LR: 0.004000
Training Epoch: 15 [45824/48750]	Loss: 0.2491	LR: 0.004000
Training Epoch: 15 [46080/48750]	Loss: 0.1541	LR: 0.004000
Training Epoch: 15 [46336/48750]	Loss: 0.2252	LR: 0.004000
Training Epoch: 15 [46592/48750]	Loss: 0.2479	LR: 0.004000
Training Epoch: 15 [46848/48750]	Loss: 0.3159	LR: 0.004000
Training Epoch: 15 [47104/48750]	Loss: 0.2719	LR: 0.004000
Training Epoch: 15 [47360/48750]	Loss: 0.2373	LR: 0.004000
Training Epoch: 15 [47616/48750]	Loss: 0.3898	LR: 0.004000
Training Epoch: 15 [47872/48750]	Loss: 0.3987	LR: 0.004000
Training Epoch: 15 [48128/48750]	Loss: 0.3157	LR: 0.004000
Training Epoch: 15 [48384/48750]	Loss: 0.2351	LR: 0.004000
Training Epoch: 15 [48640/48750]	Loss: 0.2282	LR: 0.004000
Training Epoch: 15 [48750/48750]	Loss: 0.2820	LR: 0.004000
Epoch 15 - Average Train Loss: 0.2869, Train Accuracy: 0.8989
Epoch 15 training time consumed: 29.87s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0013, Accuracy: 0.8906, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_20h_07m_11s/ResNet18-Cifar10-seed4-ret75-15-best.pth
Training Epoch: 16 [256/48750]	Loss: 0.2354	LR: 0.000800
Training Epoch: 16 [512/48750]	Loss: 0.2756	LR: 0.000800
Training Epoch: 16 [768/48750]	Loss: 0.2451	LR: 0.000800
Training Epoch: 16 [1024/48750]	Loss: 0.1996	LR: 0.000800
Training Epoch: 16 [1280/48750]	Loss: 0.3039	LR: 0.000800
Training Epoch: 16 [1536/48750]	Loss: 0.2597	LR: 0.000800
Training Epoch: 16 [1792/48750]	Loss: 0.3030	LR: 0.000800
Training Epoch: 16 [2048/48750]	Loss: 0.2731	LR: 0.000800
Training Epoch: 16 [2304/48750]	Loss: 0.2866	LR: 0.000800
Training Epoch: 16 [2560/48750]	Loss: 0.2837	LR: 0.000800
Training Epoch: 16 [2816/48750]	Loss: 0.2712	LR: 0.000800
Training Epoch: 16 [3072/48750]	Loss: 0.1976	LR: 0.000800
Training Epoch: 16 [3328/48750]	Loss: 0.2288	LR: 0.000800
Training Epoch: 16 [3584/48750]	Loss: 0.2415	LR: 0.000800
Training Epoch: 16 [3840/48750]	Loss: 0.2879	LR: 0.000800
Training Epoch: 16 [4096/48750]	Loss: 0.2520	LR: 0.000800
Training Epoch: 16 [4352/48750]	Loss: 0.3019	LR: 0.000800
Training Epoch: 16 [4608/48750]	Loss: 0.3174	LR: 0.000800
Training Epoch: 16 [4864/48750]	Loss: 0.2820	LR: 0.000800
Training Epoch: 16 [5120/48750]	Loss: 0.1836	LR: 0.000800
Training Epoch: 16 [5376/48750]	Loss: 0.2631	LR: 0.000800
Training Epoch: 16 [5632/48750]	Loss: 0.3162	LR: 0.000800
Training Epoch: 16 [5888/48750]	Loss: 0.2608	LR: 0.000800
Training Epoch: 16 [6144/48750]	Loss: 0.2996	LR: 0.000800
Training Epoch: 16 [6400/48750]	Loss: 0.2348	LR: 0.000800
Training Epoch: 16 [6656/48750]	Loss: 0.2660	LR: 0.000800
Training Epoch: 16 [6912/48750]	Loss: 0.2571	LR: 0.000800
Training Epoch: 16 [7168/48750]	Loss: 0.2328	LR: 0.000800
Training Epoch: 16 [7424/48750]	Loss: 0.2608	LR: 0.000800
Training Epoch: 16 [7680/48750]	Loss: 0.1947	LR: 0.000800
Training Epoch: 16 [7936/48750]	Loss: 0.3335	LR: 0.000800
Training Epoch: 16 [8192/48750]	Loss: 0.2693	LR: 0.000800
Training Epoch: 16 [8448/48750]	Loss: 0.2998	LR: 0.000800
Training Epoch: 16 [8704/48750]	Loss: 0.2627	LR: 0.000800
Training Epoch: 16 [8960/48750]	Loss: 0.2975	LR: 0.000800
Training Epoch: 16 [9216/48750]	Loss: 0.2435	LR: 0.000800
Training Epoch: 16 [9472/48750]	Loss: 0.2180	LR: 0.000800
Training Epoch: 16 [9728/48750]	Loss: 0.2916	LR: 0.000800
Training Epoch: 16 [9984/48750]	Loss: 0.3307	LR: 0.000800
Training Epoch: 16 [10240/48750]	Loss: 0.2840	LR: 0.000800
Training Epoch: 16 [10496/48750]	Loss: 0.1897	LR: 0.000800
Training Epoch: 16 [10752/48750]	Loss: 0.2409	LR: 0.000800
Training Epoch: 16 [11008/48750]	Loss: 0.2753	LR: 0.000800
Training Epoch: 16 [11264/48750]	Loss: 0.2980	LR: 0.000800
Training Epoch: 16 [11520/48750]	Loss: 0.2794	LR: 0.000800
Training Epoch: 16 [11776/48750]	Loss: 0.2744	LR: 0.000800
Training Epoch: 16 [12032/48750]	Loss: 0.2243	LR: 0.000800
Training Epoch: 16 [12288/48750]	Loss: 0.3394	LR: 0.000800
Training Epoch: 16 [12544/48750]	Loss: 0.2497	LR: 0.000800
Training Epoch: 16 [12800/48750]	Loss: 0.2411	LR: 0.000800
Training Epoch: 16 [13056/48750]	Loss: 0.2814	LR: 0.000800
Training Epoch: 16 [13312/48750]	Loss: 0.2361	LR: 0.000800
Training Epoch: 16 [13568/48750]	Loss: 0.2328	LR: 0.000800
Training Epoch: 16 [13824/48750]	Loss: 0.2052	LR: 0.000800
Training Epoch: 16 [14080/48750]	Loss: 0.2754	LR: 0.000800
Training Epoch: 16 [14336/48750]	Loss: 0.3188	LR: 0.000800
Training Epoch: 16 [14592/48750]	Loss: 0.2712	LR: 0.000800
Training Epoch: 16 [14848/48750]	Loss: 0.2631	LR: 0.000800
Training Epoch: 16 [15104/48750]	Loss: 0.3017	LR: 0.000800
Training Epoch: 16 [15360/48750]	Loss: 0.3423	LR: 0.000800
Training Epoch: 16 [15616/48750]	Loss: 0.2482	LR: 0.000800
Training Epoch: 16 [15872/48750]	Loss: 0.2920	LR: 0.000800
Training Epoch: 16 [16128/48750]	Loss: 0.3610	LR: 0.000800
Training Epoch: 16 [16384/48750]	Loss: 0.2338	LR: 0.000800
Training Epoch: 16 [16640/48750]	Loss: 0.3269	LR: 0.000800
Training Epoch: 16 [16896/48750]	Loss: 0.2383	LR: 0.000800
Training Epoch: 16 [17152/48750]	Loss: 0.2039	LR: 0.000800
Training Epoch: 16 [17408/48750]	Loss: 0.3371	LR: 0.000800
Training Epoch: 16 [17664/48750]	Loss: 0.2832	LR: 0.000800
Training Epoch: 16 [17920/48750]	Loss: 0.2799	LR: 0.000800
Training Epoch: 16 [18176/48750]	Loss: 0.2821	LR: 0.000800
Training Epoch: 16 [18432/48750]	Loss: 0.3435	LR: 0.000800
Training Epoch: 16 [18688/48750]	Loss: 0.2806	LR: 0.000800
Training Epoch: 16 [18944/48750]	Loss: 0.3370	LR: 0.000800
Training Epoch: 16 [19200/48750]	Loss: 0.2969	LR: 0.000800
Training Epoch: 16 [19456/48750]	Loss: 0.3102	LR: 0.000800
Training Epoch: 16 [19712/48750]	Loss: 0.2795	LR: 0.000800
Training Epoch: 16 [19968/48750]	Loss: 0.2828	LR: 0.000800
Training Epoch: 16 [20224/48750]	Loss: 0.3643	LR: 0.000800
Training Epoch: 16 [20480/48750]	Loss: 0.2734	LR: 0.000800
Training Epoch: 16 [20736/48750]	Loss: 0.2976	LR: 0.000800
Training Epoch: 16 [20992/48750]	Loss: 0.1781	LR: 0.000800
Training Epoch: 16 [21248/48750]	Loss: 0.3112	LR: 0.000800
Training Epoch: 16 [21504/48750]	Loss: 0.2649	LR: 0.000800
Training Epoch: 16 [21760/48750]	Loss: 0.3097	LR: 0.000800
Training Epoch: 16 [22016/48750]	Loss: 0.3433	LR: 0.000800
Training Epoch: 16 [22272/48750]	Loss: 0.2179	LR: 0.000800
Training Epoch: 16 [22528/48750]	Loss: 0.2435	LR: 0.000800
Training Epoch: 16 [22784/48750]	Loss: 0.2274	LR: 0.000800
Training Epoch: 16 [23040/48750]	Loss: 0.3071	LR: 0.000800
Training Epoch: 16 [23296/48750]	Loss: 0.2230	LR: 0.000800
Training Epoch: 16 [23552/48750]	Loss: 0.3095	LR: 0.000800
Training Epoch: 16 [23808/48750]	Loss: 0.2492	LR: 0.000800
Training Epoch: 16 [24064/48750]	Loss: 0.1852	LR: 0.000800
Training Epoch: 16 [24320/48750]	Loss: 0.3488	LR: 0.000800
Training Epoch: 16 [24576/48750]	Loss: 0.2947	LR: 0.000800
Training Epoch: 16 [24832/48750]	Loss: 0.3312	LR: 0.000800
Training Epoch: 16 [25088/48750]	Loss: 0.2675	LR: 0.000800
Training Epoch: 16 [25344/48750]	Loss: 0.2555	LR: 0.000800
Training Epoch: 16 [25600/48750]	Loss: 0.2865	LR: 0.000800
Training Epoch: 16 [25856/48750]	Loss: 0.2029	LR: 0.000800
Training Epoch: 16 [26112/48750]	Loss: 0.2605	LR: 0.000800
Training Epoch: 16 [26368/48750]	Loss: 0.2538	LR: 0.000800
Training Epoch: 16 [26624/48750]	Loss: 0.2374	LR: 0.000800
Training Epoch: 16 [26880/48750]	Loss: 0.2798	LR: 0.000800
Training Epoch: 16 [27136/48750]	Loss: 0.2102	LR: 0.000800
Training Epoch: 16 [27392/48750]	Loss: 0.2521	LR: 0.000800
Training Epoch: 16 [27648/48750]	Loss: 0.2922	LR: 0.000800
Training Epoch: 16 [27904/48750]	Loss: 0.2844	LR: 0.000800
Training Epoch: 16 [28160/48750]	Loss: 0.3199	LR: 0.000800
Training Epoch: 16 [28416/48750]	Loss: 0.2359	LR: 0.000800
Training Epoch: 16 [28672/48750]	Loss: 0.2380	LR: 0.000800
Training Epoch: 16 [28928/48750]	Loss: 0.2661	LR: 0.000800
Training Epoch: 16 [29184/48750]	Loss: 0.3021	LR: 0.000800
Training Epoch: 16 [29440/48750]	Loss: 0.3166	LR: 0.000800
Training Epoch: 16 [29696/48750]	Loss: 0.2704	LR: 0.000800
Training Epoch: 16 [29952/48750]	Loss: 0.2573	LR: 0.000800
Training Epoch: 16 [30208/48750]	Loss: 0.3081	LR: 0.000800
Training Epoch: 16 [30464/48750]	Loss: 0.3362	LR: 0.000800
Training Epoch: 16 [30720/48750]	Loss: 0.2831	LR: 0.000800
Training Epoch: 16 [30976/48750]	Loss: 0.2475	LR: 0.000800
Training Epoch: 16 [31232/48750]	Loss: 0.2909	LR: 0.000800
Training Epoch: 16 [31488/48750]	Loss: 0.2520	LR: 0.000800
Training Epoch: 16 [31744/48750]	Loss: 0.2693	LR: 0.000800
Training Epoch: 16 [32000/48750]	Loss: 0.2727	LR: 0.000800
Training Epoch: 16 [32256/48750]	Loss: 0.3278	LR: 0.000800
Training Epoch: 16 [32512/48750]	Loss: 0.3124	LR: 0.000800
Training Epoch: 16 [32768/48750]	Loss: 0.3241	LR: 0.000800
Training Epoch: 16 [33024/48750]	Loss: 0.3138	LR: 0.000800
Training Epoch: 16 [33280/48750]	Loss: 0.2684	LR: 0.000800
Training Epoch: 16 [33536/48750]	Loss: 0.2753	LR: 0.000800
Training Epoch: 16 [33792/48750]	Loss: 0.2632	LR: 0.000800
Training Epoch: 16 [34048/48750]	Loss: 0.3677	LR: 0.000800
Training Epoch: 16 [34304/48750]	Loss: 0.3756	LR: 0.000800
Training Epoch: 16 [34560/48750]	Loss: 0.2158	LR: 0.000800
Training Epoch: 16 [34816/48750]	Loss: 0.3803	LR: 0.000800
Training Epoch: 16 [35072/48750]	Loss: 0.2783	LR: 0.000800
Training Epoch: 16 [35328/48750]	Loss: 0.1970	LR: 0.000800
Training Epoch: 16 [35584/48750]	Loss: 0.2122	LR: 0.000800
Training Epoch: 16 [35840/48750]	Loss: 0.2840	LR: 0.000800
Training Epoch: 16 [36096/48750]	Loss: 0.2946	LR: 0.000800
Training Epoch: 16 [36352/48750]	Loss: 0.2965	LR: 0.000800
Training Epoch: 16 [36608/48750]	Loss: 0.2716	LR: 0.000800
Training Epoch: 16 [36864/48750]	Loss: 0.1905	LR: 0.000800
Training Epoch: 16 [37120/48750]	Loss: 0.2897	LR: 0.000800
Training Epoch: 16 [37376/48750]	Loss: 0.2341	LR: 0.000800
Training Epoch: 16 [37632/48750]	Loss: 0.1807	LR: 0.000800
Training Epoch: 16 [37888/48750]	Loss: 0.2738	LR: 0.000800
Training Epoch: 16 [38144/48750]	Loss: 0.2962	LR: 0.000800
Training Epoch: 16 [38400/48750]	Loss: 0.3497	LR: 0.000800
Training Epoch: 16 [38656/48750]	Loss: 0.2926	LR: 0.000800
Training Epoch: 16 [38912/48750]	Loss: 0.2943	LR: 0.000800
Training Epoch: 16 [39168/48750]	Loss: 0.1966	LR: 0.000800
Training Epoch: 16 [39424/48750]	Loss: 0.2913	LR: 0.000800
Training Epoch: 16 [39680/48750]	Loss: 0.2738	LR: 0.000800
Training Epoch: 16 [39936/48750]	Loss: 0.2936	LR: 0.000800
Training Epoch: 16 [40192/48750]	Loss: 0.3414	LR: 0.000800
Training Epoch: 16 [40448/48750]	Loss: 0.2456	LR: 0.000800
Training Epoch: 16 [40704/48750]	Loss: 0.3240	LR: 0.000800
Training Epoch: 16 [40960/48750]	Loss: 0.2656	LR: 0.000800
Training Epoch: 16 [41216/48750]	Loss: 0.3349	LR: 0.000800
Training Epoch: 16 [41472/48750]	Loss: 0.2342	LR: 0.000800
Training Epoch: 16 [41728/48750]	Loss: 0.2924	LR: 0.000800
Training Epoch: 16 [41984/48750]	Loss: 0.2784	LR: 0.000800
Training Epoch: 16 [42240/48750]	Loss: 0.2983	LR: 0.000800
Training Epoch: 16 [42496/48750]	Loss: 0.2318	LR: 0.000800
Training Epoch: 16 [42752/48750]	Loss: 0.3507	LR: 0.000800
Training Epoch: 16 [43008/48750]	Loss: 0.2752	LR: 0.000800
Training Epoch: 16 [43264/48750]	Loss: 0.2331	LR: 0.000800
Training Epoch: 16 [43520/48750]	Loss: 0.2733	LR: 0.000800
Training Epoch: 16 [43776/48750]	Loss: 0.2228	LR: 0.000800
Training Epoch: 16 [44032/48750]	Loss: 0.3671	LR: 0.000800
Training Epoch: 16 [44288/48750]	Loss: 0.3128	LR: 0.000800
Training Epoch: 16 [44544/48750]	Loss: 0.2308	LR: 0.000800
Training Epoch: 16 [44800/48750]	Loss: 0.3152	LR: 0.000800
Training Epoch: 16 [45056/48750]	Loss: 0.2350	LR: 0.000800
Training Epoch: 16 [45312/48750]	Loss: 0.3219	LR: 0.000800
Training Epoch: 16 [45568/48750]	Loss: 0.2697	LR: 0.000800
Training Epoch: 16 [45824/48750]	Loss: 0.2545	LR: 0.000800
Training Epoch: 16 [46080/48750]	Loss: 0.2794	LR: 0.000800
Training Epoch: 16 [46336/48750]	Loss: 0.2685	LR: 0.000800
Training Epoch: 16 [46592/48750]	Loss: 0.3303	LR: 0.000800
Training Epoch: 16 [46848/48750]	Loss: 0.1873	LR: 0.000800
Training Epoch: 16 [47104/48750]	Loss: 0.2003	LR: 0.000800
Training Epoch: 16 [47360/48750]	Loss: 0.2419	LR: 0.000800
Training Epoch: 16 [47616/48750]	Loss: 0.2609	LR: 0.000800
Training Epoch: 16 [47872/48750]	Loss: 0.3412	LR: 0.000800
Training Epoch: 16 [48128/48750]	Loss: 0.2639	LR: 0.000800
Training Epoch: 16 [48384/48750]	Loss: 0.2114	LR: 0.000800
Training Epoch: 16 [48640/48750]	Loss: 0.3050	LR: 0.000800
Training Epoch: 16 [48750/48750]	Loss: 0.2582	LR: 0.000800
Epoch 16 - Average Train Loss: 0.2744, Train Accuracy: 0.9040
Epoch 16 training time consumed: 29.94s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0013, Accuracy: 0.8919, Time consumed:1.00s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_20h_07m_11s/ResNet18-Cifar10-seed4-ret75-16-best.pth
Training Epoch: 17 [256/48750]	Loss: 0.1923	LR: 0.000800
Training Epoch: 17 [512/48750]	Loss: 0.2750	LR: 0.000800
Training Epoch: 17 [768/48750]	Loss: 0.2078	LR: 0.000800
Training Epoch: 17 [1024/48750]	Loss: 0.2816	LR: 0.000800
Training Epoch: 17 [1280/48750]	Loss: 0.2537	LR: 0.000800
Training Epoch: 17 [1536/48750]	Loss: 0.3016	LR: 0.000800
Training Epoch: 17 [1792/48750]	Loss: 0.2602	LR: 0.000800
Training Epoch: 17 [2048/48750]	Loss: 0.2200	LR: 0.000800
Training Epoch: 17 [2304/48750]	Loss: 0.2235	LR: 0.000800
Training Epoch: 17 [2560/48750]	Loss: 0.2383	LR: 0.000800
Training Epoch: 17 [2816/48750]	Loss: 0.2806	LR: 0.000800
Training Epoch: 17 [3072/48750]	Loss: 0.2254	LR: 0.000800
Training Epoch: 17 [3328/48750]	Loss: 0.2743	LR: 0.000800
Training Epoch: 17 [3584/48750]	Loss: 0.2638	LR: 0.000800
Training Epoch: 17 [3840/48750]	Loss: 0.2520	LR: 0.000800
Training Epoch: 17 [4096/48750]	Loss: 0.2769	LR: 0.000800
Training Epoch: 17 [4352/48750]	Loss: 0.2472	LR: 0.000800
Training Epoch: 17 [4608/48750]	Loss: 0.2277	LR: 0.000800
Training Epoch: 17 [4864/48750]	Loss: 0.2762	LR: 0.000800
Training Epoch: 17 [5120/48750]	Loss: 0.2762	LR: 0.000800
Training Epoch: 17 [5376/48750]	Loss: 0.2541	LR: 0.000800
Training Epoch: 17 [5632/48750]	Loss: 0.2590	LR: 0.000800
Training Epoch: 17 [5888/48750]	Loss: 0.3037	LR: 0.000800
Training Epoch: 17 [6144/48750]	Loss: 0.2411	LR: 0.000800
Training Epoch: 17 [6400/48750]	Loss: 0.2838	LR: 0.000800
Training Epoch: 17 [6656/48750]	Loss: 0.2796	LR: 0.000800
Training Epoch: 17 [6912/48750]	Loss: 0.2741	LR: 0.000800
Training Epoch: 17 [7168/48750]	Loss: 0.2477	LR: 0.000800
Training Epoch: 17 [7424/48750]	Loss: 0.2376	LR: 0.000800
Training Epoch: 17 [7680/48750]	Loss: 0.2557	LR: 0.000800
Training Epoch: 17 [7936/48750]	Loss: 0.2505	LR: 0.000800
Training Epoch: 17 [8192/48750]	Loss: 0.2839	LR: 0.000800
Training Epoch: 17 [8448/48750]	Loss: 0.3162	LR: 0.000800
Training Epoch: 17 [8704/48750]	Loss: 0.2714	LR: 0.000800
Training Epoch: 17 [8960/48750]	Loss: 0.2604	LR: 0.000800
Training Epoch: 17 [9216/48750]	Loss: 0.3036	LR: 0.000800
Training Epoch: 17 [9472/48750]	Loss: 0.2463	LR: 0.000800
Training Epoch: 17 [9728/48750]	Loss: 0.2185	LR: 0.000800
Training Epoch: 17 [9984/48750]	Loss: 0.2569	LR: 0.000800
Training Epoch: 17 [10240/48750]	Loss: 0.2253	LR: 0.000800
Training Epoch: 17 [10496/48750]	Loss: 0.2878	LR: 0.000800
Training Epoch: 17 [10752/48750]	Loss: 0.2659	LR: 0.000800
Training Epoch: 17 [11008/48750]	Loss: 0.2976	LR: 0.000800
Training Epoch: 17 [11264/48750]	Loss: 0.2821	LR: 0.000800
Training Epoch: 17 [11520/48750]	Loss: 0.2318	LR: 0.000800
Training Epoch: 17 [11776/48750]	Loss: 0.2459	LR: 0.000800
Training Epoch: 17 [12032/48750]	Loss: 0.2881	LR: 0.000800
Training Epoch: 17 [12288/48750]	Loss: 0.2718	LR: 0.000800
Training Epoch: 17 [12544/48750]	Loss: 0.1989	LR: 0.000800
Training Epoch: 17 [12800/48750]	Loss: 0.3200	LR: 0.000800
Training Epoch: 17 [13056/48750]	Loss: 0.2542	LR: 0.000800
Training Epoch: 17 [13312/48750]	Loss: 0.3037	LR: 0.000800
Training Epoch: 17 [13568/48750]	Loss: 0.2455	LR: 0.000800
Training Epoch: 17 [13824/48750]	Loss: 0.2810	LR: 0.000800
Training Epoch: 17 [14080/48750]	Loss: 0.3128	LR: 0.000800
Training Epoch: 17 [14336/48750]	Loss: 0.2090	LR: 0.000800
Training Epoch: 17 [14592/48750]	Loss: 0.2967	LR: 0.000800
Training Epoch: 17 [14848/48750]	Loss: 0.2608	LR: 0.000800
Training Epoch: 17 [15104/48750]	Loss: 0.3191	LR: 0.000800
Training Epoch: 17 [15360/48750]	Loss: 0.3252	LR: 0.000800
Training Epoch: 17 [15616/48750]	Loss: 0.3432	LR: 0.000800
Training Epoch: 17 [15872/48750]	Loss: 0.3762	LR: 0.000800
Training Epoch: 17 [16128/48750]	Loss: 0.3225	LR: 0.000800
Training Epoch: 17 [16384/48750]	Loss: 0.2573	LR: 0.000800
Training Epoch: 17 [16640/48750]	Loss: 0.3123	LR: 0.000800
Training Epoch: 17 [16896/48750]	Loss: 0.2476	LR: 0.000800
Training Epoch: 17 [17152/48750]	Loss: 0.1782	LR: 0.000800
Training Epoch: 17 [17408/48750]	Loss: 0.2498	LR: 0.000800
Training Epoch: 17 [17664/48750]	Loss: 0.2924	LR: 0.000800
Training Epoch: 17 [17920/48750]	Loss: 0.2255	LR: 0.000800
Training Epoch: 17 [18176/48750]	Loss: 0.2419	LR: 0.000800
Training Epoch: 17 [18432/48750]	Loss: 0.2823	LR: 0.000800
Training Epoch: 17 [18688/48750]	Loss: 0.2917	LR: 0.000800
Training Epoch: 17 [18944/48750]	Loss: 0.2220	LR: 0.000800
Training Epoch: 17 [19200/48750]	Loss: 0.2729	LR: 0.000800
Training Epoch: 17 [19456/48750]	Loss: 0.3016	LR: 0.000800
Training Epoch: 17 [19712/48750]	Loss: 0.2814	LR: 0.000800
Training Epoch: 17 [19968/48750]	Loss: 0.2362	LR: 0.000800
Training Epoch: 17 [20224/48750]	Loss: 0.3829	LR: 0.000800
Training Epoch: 17 [20480/48750]	Loss: 0.2375	LR: 0.000800
Training Epoch: 17 [20736/48750]	Loss: 0.2102	LR: 0.000800
Training Epoch: 17 [20992/48750]	Loss: 0.3077	LR: 0.000800
Training Epoch: 17 [21248/48750]	Loss: 0.3264	LR: 0.000800
Training Epoch: 17 [21504/48750]	Loss: 0.3296	LR: 0.000800
Training Epoch: 17 [21760/48750]	Loss: 0.3001	LR: 0.000800
Training Epoch: 17 [22016/48750]	Loss: 0.3595	LR: 0.000800
Training Epoch: 17 [22272/48750]	Loss: 0.2283	LR: 0.000800
Training Epoch: 17 [22528/48750]	Loss: 0.2578	LR: 0.000800
Training Epoch: 17 [22784/48750]	Loss: 0.2070	LR: 0.000800
Training Epoch: 17 [23040/48750]	Loss: 0.2732	LR: 0.000800
Training Epoch: 17 [23296/48750]	Loss: 0.3328	LR: 0.000800
Training Epoch: 17 [23552/48750]	Loss: 0.2933	LR: 0.000800
Training Epoch: 17 [23808/48750]	Loss: 0.2217	LR: 0.000800
Training Epoch: 17 [24064/48750]	Loss: 0.2323	LR: 0.000800
Training Epoch: 17 [24320/48750]	Loss: 0.2995	LR: 0.000800
Training Epoch: 17 [24576/48750]	Loss: 0.2858	LR: 0.000800
Training Epoch: 17 [24832/48750]	Loss: 0.2476	LR: 0.000800
Training Epoch: 17 [25088/48750]	Loss: 0.1890	LR: 0.000800
Training Epoch: 17 [25344/48750]	Loss: 0.2579	LR: 0.000800
Training Epoch: 17 [25600/48750]	Loss: 0.3000	LR: 0.000800
Training Epoch: 17 [25856/48750]	Loss: 0.2906	LR: 0.000800
Training Epoch: 17 [26112/48750]	Loss: 0.2246	LR: 0.000800
Training Epoch: 17 [26368/48750]	Loss: 0.3723	LR: 0.000800
Training Epoch: 17 [26624/48750]	Loss: 0.3604	LR: 0.000800
Training Epoch: 17 [26880/48750]	Loss: 0.2687	LR: 0.000800
Training Epoch: 17 [27136/48750]	Loss: 0.2345	LR: 0.000800
Training Epoch: 17 [27392/48750]	Loss: 0.2585	LR: 0.000800
Training Epoch: 17 [27648/48750]	Loss: 0.2228	LR: 0.000800
Training Epoch: 17 [27904/48750]	Loss: 0.2823	LR: 0.000800
Training Epoch: 17 [28160/48750]	Loss: 0.2165	LR: 0.000800
Training Epoch: 17 [28416/48750]	Loss: 0.2345	LR: 0.000800
Training Epoch: 17 [28672/48750]	Loss: 0.2266	LR: 0.000800
Training Epoch: 17 [28928/48750]	Loss: 0.3153	LR: 0.000800
Training Epoch: 17 [29184/48750]	Loss: 0.3188	LR: 0.000800
Training Epoch: 17 [29440/48750]	Loss: 0.2823	LR: 0.000800
Training Epoch: 17 [29696/48750]	Loss: 0.2427	LR: 0.000800
Training Epoch: 17 [29952/48750]	Loss: 0.2443	LR: 0.000800
Training Epoch: 17 [30208/48750]	Loss: 0.2341	LR: 0.000800
Training Epoch: 17 [30464/48750]	Loss: 0.3430	LR: 0.000800
Training Epoch: 17 [30720/48750]	Loss: 0.3701	LR: 0.000800
Training Epoch: 17 [30976/48750]	Loss: 0.2167	LR: 0.000800
Training Epoch: 17 [31232/48750]	Loss: 0.2491	LR: 0.000800
Training Epoch: 17 [31488/48750]	Loss: 0.2665	LR: 0.000800
Training Epoch: 17 [31744/48750]	Loss: 0.2690	LR: 0.000800
Training Epoch: 17 [32000/48750]	Loss: 0.3242	LR: 0.000800
Training Epoch: 17 [32256/48750]	Loss: 0.2295	LR: 0.000800
Training Epoch: 17 [32512/48750]	Loss: 0.2846	LR: 0.000800
Training Epoch: 17 [32768/48750]	Loss: 0.2582	LR: 0.000800
Training Epoch: 17 [33024/48750]	Loss: 0.2796	LR: 0.000800
Training Epoch: 17 [33280/48750]	Loss: 0.2328	LR: 0.000800
Training Epoch: 17 [33536/48750]	Loss: 0.2745	LR: 0.000800
Training Epoch: 17 [33792/48750]	Loss: 0.2153	LR: 0.000800
Training Epoch: 17 [34048/48750]	Loss: 0.2565	LR: 0.000800
Training Epoch: 17 [34304/48750]	Loss: 0.2716	LR: 0.000800
Training Epoch: 17 [34560/48750]	Loss: 0.2310	LR: 0.000800
Training Epoch: 17 [34816/48750]	Loss: 0.2957	LR: 0.000800
Training Epoch: 17 [35072/48750]	Loss: 0.2373	LR: 0.000800
Training Epoch: 17 [35328/48750]	Loss: 0.2555	LR: 0.000800
Training Epoch: 17 [35584/48750]	Loss: 0.1806	LR: 0.000800
Training Epoch: 17 [35840/48750]	Loss: 0.2759	LR: 0.000800
Training Epoch: 17 [36096/48750]	Loss: 0.3010	LR: 0.000800
Training Epoch: 17 [36352/48750]	Loss: 0.2747	LR: 0.000800
Training Epoch: 17 [36608/48750]	Loss: 0.3245	LR: 0.000800
Training Epoch: 17 [36864/48750]	Loss: 0.2536	LR: 0.000800
Training Epoch: 17 [37120/48750]	Loss: 0.3125	LR: 0.000800
Training Epoch: 17 [37376/48750]	Loss: 0.2514	LR: 0.000800
Training Epoch: 17 [37632/48750]	Loss: 0.3079	LR: 0.000800
Training Epoch: 17 [37888/48750]	Loss: 0.2397	LR: 0.000800
Training Epoch: 17 [38144/48750]	Loss: 0.1654	LR: 0.000800
Training Epoch: 17 [38400/48750]	Loss: 0.2773	LR: 0.000800
Training Epoch: 17 [38656/48750]	Loss: 0.2562	LR: 0.000800
Training Epoch: 17 [38912/48750]	Loss: 0.3397	LR: 0.000800
Training Epoch: 17 [39168/48750]	Loss: 0.2288	LR: 0.000800
Training Epoch: 17 [39424/48750]	Loss: 0.2742	LR: 0.000800
Training Epoch: 17 [39680/48750]	Loss: 0.2895	LR: 0.000800
Training Epoch: 17 [39936/48750]	Loss: 0.2459	LR: 0.000800
Training Epoch: 17 [40192/48750]	Loss: 0.2816	LR: 0.000800
Training Epoch: 17 [40448/48750]	Loss: 0.2816	LR: 0.000800
Training Epoch: 17 [40704/48750]	Loss: 0.2139	LR: 0.000800
Training Epoch: 17 [40960/48750]	Loss: 0.2399	LR: 0.000800
Training Epoch: 17 [41216/48750]	Loss: 0.3061	LR: 0.000800
Training Epoch: 17 [41472/48750]	Loss: 0.2059	LR: 0.000800
Training Epoch: 17 [41728/48750]	Loss: 0.2632	LR: 0.000800
Training Epoch: 17 [41984/48750]	Loss: 0.2575	LR: 0.000800
Training Epoch: 17 [42240/48750]	Loss: 0.2014	LR: 0.000800
Training Epoch: 17 [42496/48750]	Loss: 0.2171	LR: 0.000800
Training Epoch: 17 [42752/48750]	Loss: 0.2491	LR: 0.000800
Training Epoch: 17 [43008/48750]	Loss: 0.3273	LR: 0.000800
Training Epoch: 17 [43264/48750]	Loss: 0.2180	LR: 0.000800
Training Epoch: 17 [43520/48750]	Loss: 0.2921	LR: 0.000800
Training Epoch: 17 [43776/48750]	Loss: 0.3139	LR: 0.000800
Training Epoch: 17 [44032/48750]	Loss: 0.3185	LR: 0.000800
Training Epoch: 17 [44288/48750]	Loss: 0.2659	LR: 0.000800
Training Epoch: 17 [44544/48750]	Loss: 0.2772	LR: 0.000800
Training Epoch: 17 [44800/48750]	Loss: 0.2808	LR: 0.000800
Training Epoch: 17 [45056/48750]	Loss: 0.2886	LR: 0.000800
Training Epoch: 17 [45312/48750]	Loss: 0.2236	LR: 0.000800
Training Epoch: 17 [45568/48750]	Loss: 0.3283	LR: 0.000800
Training Epoch: 17 [45824/48750]	Loss: 0.2786	LR: 0.000800
Training Epoch: 17 [46080/48750]	Loss: 0.2045	LR: 0.000800
Training Epoch: 17 [46336/48750]	Loss: 0.2453	LR: 0.000800
Training Epoch: 17 [46592/48750]	Loss: 0.2484	LR: 0.000800
Training Epoch: 17 [46848/48750]	Loss: 0.3410	LR: 0.000800
Training Epoch: 17 [47104/48750]	Loss: 0.2355	LR: 0.000800
Training Epoch: 17 [47360/48750]	Loss: 0.2198	LR: 0.000800
Training Epoch: 17 [47616/48750]	Loss: 0.2808	LR: 0.000800
Training Epoch: 17 [47872/48750]	Loss: 0.3405	LR: 0.000800
Training Epoch: 17 [48128/48750]	Loss: 0.3580	LR: 0.000800
Training Epoch: 17 [48384/48750]	Loss: 0.2146	LR: 0.000800
Training Epoch: 17 [48640/48750]	Loss: 0.2594	LR: 0.000800
Training Epoch: 17 [48750/48750]	Loss: 0.2997	LR: 0.000800
Epoch 17 - Average Train Loss: 0.2680, Train Accuracy: 0.9056
Epoch 17 training time consumed: 29.91s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0013, Accuracy: 0.8922, Time consumed:0.99s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_20h_07m_11s/ResNet18-Cifar10-seed4-ret75-17-best.pth
Training Epoch: 18 [256/48750]	Loss: 0.2371	LR: 0.000800
Training Epoch: 18 [512/48750]	Loss: 0.2932	LR: 0.000800
Training Epoch: 18 [768/48750]	Loss: 0.3140	LR: 0.000800
Training Epoch: 18 [1024/48750]	Loss: 0.2462	LR: 0.000800
Training Epoch: 18 [1280/48750]	Loss: 0.2784	LR: 0.000800
Training Epoch: 18 [1536/48750]	Loss: 0.2503	LR: 0.000800
Training Epoch: 18 [1792/48750]	Loss: 0.3359	LR: 0.000800
Training Epoch: 18 [2048/48750]	Loss: 0.2356	LR: 0.000800
Training Epoch: 18 [2304/48750]	Loss: 0.3002	LR: 0.000800
Training Epoch: 18 [2560/48750]	Loss: 0.2548	LR: 0.000800
Training Epoch: 18 [2816/48750]	Loss: 0.2373	LR: 0.000800
Training Epoch: 18 [3072/48750]	Loss: 0.3142	LR: 0.000800
Training Epoch: 18 [3328/48750]	Loss: 0.2986	LR: 0.000800
Training Epoch: 18 [3584/48750]	Loss: 0.3080	LR: 0.000800
Training Epoch: 18 [3840/48750]	Loss: 0.2324	LR: 0.000800
Training Epoch: 18 [4096/48750]	Loss: 0.2671	LR: 0.000800
Training Epoch: 18 [4352/48750]	Loss: 0.2565	LR: 0.000800
Training Epoch: 18 [4608/48750]	Loss: 0.2304	LR: 0.000800
Training Epoch: 18 [4864/48750]	Loss: 0.2527	LR: 0.000800
Training Epoch: 18 [5120/48750]	Loss: 0.3054	LR: 0.000800
Training Epoch: 18 [5376/48750]	Loss: 0.1967	LR: 0.000800
Training Epoch: 18 [5632/48750]	Loss: 0.3001	LR: 0.000800
Training Epoch: 18 [5888/48750]	Loss: 0.2876	LR: 0.000800
Training Epoch: 18 [6144/48750]	Loss: 0.2062	LR: 0.000800
Training Epoch: 18 [6400/48750]	Loss: 0.2790	LR: 0.000800
Training Epoch: 18 [6656/48750]	Loss: 0.2495	LR: 0.000800
Training Epoch: 18 [6912/48750]	Loss: 0.2383	LR: 0.000800
Training Epoch: 18 [7168/48750]	Loss: 0.2646	LR: 0.000800
Training Epoch: 18 [7424/48750]	Loss: 0.2976	LR: 0.000800
Training Epoch: 18 [7680/48750]	Loss: 0.2732	LR: 0.000800
Training Epoch: 18 [7936/48750]	Loss: 0.3090	LR: 0.000800
Training Epoch: 18 [8192/48750]	Loss: 0.2885	LR: 0.000800
Training Epoch: 18 [8448/48750]	Loss: 0.2668	LR: 0.000800
Training Epoch: 18 [8704/48750]	Loss: 0.3338	LR: 0.000800
Training Epoch: 18 [8960/48750]	Loss: 0.2706	LR: 0.000800
Training Epoch: 18 [9216/48750]	Loss: 0.2599	LR: 0.000800
Training Epoch: 18 [9472/48750]	Loss: 0.2558	LR: 0.000800
Training Epoch: 18 [9728/48750]	Loss: 0.3031	LR: 0.000800
Training Epoch: 18 [9984/48750]	Loss: 0.3004	LR: 0.000800
Training Epoch: 18 [10240/48750]	Loss: 0.2553	LR: 0.000800
Training Epoch: 18 [10496/48750]	Loss: 0.2526	LR: 0.000800
Training Epoch: 18 [10752/48750]	Loss: 0.3415	LR: 0.000800
Training Epoch: 18 [11008/48750]	Loss: 0.2461	LR: 0.000800
Training Epoch: 18 [11264/48750]	Loss: 0.2252	LR: 0.000800
Training Epoch: 18 [11520/48750]	Loss: 0.3324	LR: 0.000800
Training Epoch: 18 [11776/48750]	Loss: 0.2697	LR: 0.000800
Training Epoch: 18 [12032/48750]	Loss: 0.1975	LR: 0.000800
Training Epoch: 18 [12288/48750]	Loss: 0.2872	LR: 0.000800
Training Epoch: 18 [12544/48750]	Loss: 0.2472	LR: 0.000800
Training Epoch: 18 [12800/48750]	Loss: 0.2735	LR: 0.000800
Training Epoch: 18 [13056/48750]	Loss: 0.3231	LR: 0.000800
Training Epoch: 18 [13312/48750]	Loss: 0.2408	LR: 0.000800
Training Epoch: 18 [13568/48750]	Loss: 0.2365	LR: 0.000800
Training Epoch: 18 [13824/48750]	Loss: 0.2044	LR: 0.000800
Training Epoch: 18 [14080/48750]	Loss: 0.2193	LR: 0.000800
Training Epoch: 18 [14336/48750]	Loss: 0.3493	LR: 0.000800
Training Epoch: 18 [14592/48750]	Loss: 0.3119	LR: 0.000800
Training Epoch: 18 [14848/48750]	Loss: 0.2489	LR: 0.000800
Training Epoch: 18 [15104/48750]	Loss: 0.2065	LR: 0.000800
Training Epoch: 18 [15360/48750]	Loss: 0.2182	LR: 0.000800
Training Epoch: 18 [15616/48750]	Loss: 0.2607	LR: 0.000800
Training Epoch: 18 [15872/48750]	Loss: 0.2668	LR: 0.000800
Training Epoch: 18 [16128/48750]	Loss: 0.2954	LR: 0.000800
Training Epoch: 18 [16384/48750]	Loss: 0.2631	LR: 0.000800
Training Epoch: 18 [16640/48750]	Loss: 0.2863	LR: 0.000800
Training Epoch: 18 [16896/48750]	Loss: 0.2511	LR: 0.000800
Training Epoch: 18 [17152/48750]	Loss: 0.3253	LR: 0.000800
Training Epoch: 18 [17408/48750]	Loss: 0.2345	LR: 0.000800
Training Epoch: 18 [17664/48750]	Loss: 0.2621	LR: 0.000800
Training Epoch: 18 [17920/48750]	Loss: 0.2470	LR: 0.000800
Training Epoch: 18 [18176/48750]	Loss: 0.3787	LR: 0.000800
Training Epoch: 18 [18432/48750]	Loss: 0.2730	LR: 0.000800
Training Epoch: 18 [18688/48750]	Loss: 0.2502	LR: 0.000800
Training Epoch: 18 [18944/48750]	Loss: 0.2672	LR: 0.000800
Training Epoch: 18 [19200/48750]	Loss: 0.2930	LR: 0.000800
Training Epoch: 18 [19456/48750]	Loss: 0.2826	LR: 0.000800
Training Epoch: 18 [19712/48750]	Loss: 0.2204	LR: 0.000800
Training Epoch: 18 [19968/48750]	Loss: 0.3358	LR: 0.000800
Training Epoch: 18 [20224/48750]	Loss: 0.2145	LR: 0.000800
Training Epoch: 18 [20480/48750]	Loss: 0.1727	LR: 0.000800
Training Epoch: 18 [20736/48750]	Loss: 0.3715	LR: 0.000800
Training Epoch: 18 [20992/48750]	Loss: 0.2259	LR: 0.000800
Training Epoch: 18 [21248/48750]	Loss: 0.3443	LR: 0.000800
Training Epoch: 18 [21504/48750]	Loss: 0.2774	LR: 0.000800
Training Epoch: 18 [21760/48750]	Loss: 0.2003	LR: 0.000800
Training Epoch: 18 [22016/48750]	Loss: 0.3008	LR: 0.000800
Training Epoch: 18 [22272/48750]	Loss: 0.2436	LR: 0.000800
Training Epoch: 18 [22528/48750]	Loss: 0.2818	LR: 0.000800
Training Epoch: 18 [22784/48750]	Loss: 0.3530	LR: 0.000800
Training Epoch: 18 [23040/48750]	Loss: 0.2589	LR: 0.000800
Training Epoch: 18 [23296/48750]	Loss: 0.2730	LR: 0.000800
Training Epoch: 18 [23552/48750]	Loss: 0.3450	LR: 0.000800
Training Epoch: 18 [23808/48750]	Loss: 0.2381	LR: 0.000800
Training Epoch: 18 [24064/48750]	Loss: 0.2826	LR: 0.000800
Training Epoch: 18 [24320/48750]	Loss: 0.2926	LR: 0.000800
Training Epoch: 18 [24576/48750]	Loss: 0.3191	LR: 0.000800
Training Epoch: 18 [24832/48750]	Loss: 0.2627	LR: 0.000800
Training Epoch: 18 [25088/48750]	Loss: 0.2105	LR: 0.000800
Training Epoch: 18 [25344/48750]	Loss: 0.2730	LR: 0.000800
Training Epoch: 18 [25600/48750]	Loss: 0.2888	LR: 0.000800
Training Epoch: 18 [25856/48750]	Loss: 0.3129	LR: 0.000800
Training Epoch: 18 [26112/48750]	Loss: 0.2629	LR: 0.000800
Training Epoch: 18 [26368/48750]	Loss: 0.2443	LR: 0.000800
Training Epoch: 18 [26624/48750]	Loss: 0.3256	LR: 0.000800
Training Epoch: 18 [26880/48750]	Loss: 0.2263	LR: 0.000800
Training Epoch: 18 [27136/48750]	Loss: 0.2674	LR: 0.000800
Training Epoch: 18 [27392/48750]	Loss: 0.3071	LR: 0.000800
Training Epoch: 18 [27648/48750]	Loss: 0.2003	LR: 0.000800
Training Epoch: 18 [27904/48750]	Loss: 0.2530	LR: 0.000800
Training Epoch: 18 [28160/48750]	Loss: 0.2188	LR: 0.000800
Training Epoch: 18 [28416/48750]	Loss: 0.1952	LR: 0.000800
Training Epoch: 18 [28672/48750]	Loss: 0.2715	LR: 0.000800
Training Epoch: 18 [28928/48750]	Loss: 0.2099	LR: 0.000800
Training Epoch: 18 [29184/48750]	Loss: 0.2978	LR: 0.000800
Training Epoch: 18 [29440/48750]	Loss: 0.2814	LR: 0.000800
Training Epoch: 18 [29696/48750]	Loss: 0.2247	LR: 0.000800
Training Epoch: 18 [29952/48750]	Loss: 0.3164	LR: 0.000800
Training Epoch: 18 [30208/48750]	Loss: 0.2957	LR: 0.000800
Training Epoch: 18 [30464/48750]	Loss: 0.2396	LR: 0.000800
Training Epoch: 18 [30720/48750]	Loss: 0.2996	LR: 0.000800
Training Epoch: 18 [30976/48750]	Loss: 0.3009	LR: 0.000800
Training Epoch: 18 [31232/48750]	Loss: 0.2404	LR: 0.000800
Training Epoch: 18 [31488/48750]	Loss: 0.2665	LR: 0.000800
Training Epoch: 18 [31744/48750]	Loss: 0.2285	LR: 0.000800
Training Epoch: 18 [32000/48750]	Loss: 0.2849	LR: 0.000800
Training Epoch: 18 [32256/48750]	Loss: 0.3684	LR: 0.000800
Training Epoch: 18 [32512/48750]	Loss: 0.3222	LR: 0.000800
Training Epoch: 18 [32768/48750]	Loss: 0.3218	LR: 0.000800
Training Epoch: 18 [33024/48750]	Loss: 0.2338	LR: 0.000800
Training Epoch: 18 [33280/48750]	Loss: 0.2372	LR: 0.000800
Training Epoch: 18 [33536/48750]	Loss: 0.2228	LR: 0.000800
Training Epoch: 18 [33792/48750]	Loss: 0.2324	LR: 0.000800
Training Epoch: 18 [34048/48750]	Loss: 0.2693	LR: 0.000800
Training Epoch: 18 [34304/48750]	Loss: 0.2341	LR: 0.000800
Training Epoch: 18 [34560/48750]	Loss: 0.2511	LR: 0.000800
Training Epoch: 18 [34816/48750]	Loss: 0.2100	LR: 0.000800
Training Epoch: 18 [35072/48750]	Loss: 0.1943	LR: 0.000800
Training Epoch: 18 [35328/48750]	Loss: 0.2682	LR: 0.000800
Training Epoch: 18 [35584/48750]	Loss: 0.2560	LR: 0.000800
Training Epoch: 18 [35840/48750]	Loss: 0.2315	LR: 0.000800
Training Epoch: 18 [36096/48750]	Loss: 0.2900	LR: 0.000800
Training Epoch: 18 [36352/48750]	Loss: 0.2492	LR: 0.000800
Training Epoch: 18 [36608/48750]	Loss: 0.2580	LR: 0.000800
Training Epoch: 18 [36864/48750]	Loss: 0.2354	LR: 0.000800
Training Epoch: 18 [37120/48750]	Loss: 0.2196	LR: 0.000800
Training Epoch: 18 [37376/48750]	Loss: 0.2902	LR: 0.000800
Training Epoch: 18 [37632/48750]	Loss: 0.1961	LR: 0.000800
Training Epoch: 18 [37888/48750]	Loss: 0.2181	LR: 0.000800
Training Epoch: 18 [38144/48750]	Loss: 0.3314	LR: 0.000800
Training Epoch: 18 [38400/48750]	Loss: 0.2543	LR: 0.000800
Training Epoch: 18 [38656/48750]	Loss: 0.3636	LR: 0.000800
Training Epoch: 18 [38912/48750]	Loss: 0.1817	LR: 0.000800
Training Epoch: 18 [39168/48750]	Loss: 0.2683	LR: 0.000800
Training Epoch: 18 [39424/48750]	Loss: 0.2584	LR: 0.000800
Training Epoch: 18 [39680/48750]	Loss: 0.2715	LR: 0.000800
Training Epoch: 18 [39936/48750]	Loss: 0.3017	LR: 0.000800
Training Epoch: 18 [40192/48750]	Loss: 0.3323	LR: 0.000800
Training Epoch: 18 [40448/48750]	Loss: 0.2759	LR: 0.000800
Training Epoch: 18 [40704/48750]	Loss: 0.2132	LR: 0.000800
Training Epoch: 18 [40960/48750]	Loss: 0.2582	LR: 0.000800
Training Epoch: 18 [41216/48750]	Loss: 0.3552	LR: 0.000800
Training Epoch: 18 [41472/48750]	Loss: 0.3321	LR: 0.000800
Training Epoch: 18 [41728/48750]	Loss: 0.3299	LR: 0.000800
Training Epoch: 18 [41984/48750]	Loss: 0.3251	LR: 0.000800
Training Epoch: 18 [42240/48750]	Loss: 0.1929	LR: 0.000800
Training Epoch: 18 [42496/48750]	Loss: 0.1660	LR: 0.000800
Training Epoch: 18 [42752/48750]	Loss: 0.2490	LR: 0.000800
Training Epoch: 18 [43008/48750]	Loss: 0.2313	LR: 0.000800
Training Epoch: 18 [43264/48750]	Loss: 0.2242	LR: 0.000800
Training Epoch: 18 [43520/48750]	Loss: 0.2904	LR: 0.000800
Training Epoch: 18 [43776/48750]	Loss: 0.3059	LR: 0.000800
Training Epoch: 18 [44032/48750]	Loss: 0.2842	LR: 0.000800
Training Epoch: 18 [44288/48750]	Loss: 0.2650	LR: 0.000800
Training Epoch: 18 [44544/48750]	Loss: 0.3030	LR: 0.000800
Training Epoch: 18 [44800/48750]	Loss: 0.2728	LR: 0.000800
Training Epoch: 18 [45056/48750]	Loss: 0.3161	LR: 0.000800
Training Epoch: 18 [45312/48750]	Loss: 0.2982	LR: 0.000800
Training Epoch: 18 [45568/48750]	Loss: 0.2272	LR: 0.000800
Training Epoch: 18 [45824/48750]	Loss: 0.2256	LR: 0.000800
Training Epoch: 18 [46080/48750]	Loss: 0.2628	LR: 0.000800
Training Epoch: 18 [46336/48750]	Loss: 0.2573	LR: 0.000800
Training Epoch: 18 [46592/48750]	Loss: 0.2883	LR: 0.000800
Training Epoch: 18 [46848/48750]	Loss: 0.2254	LR: 0.000800
Training Epoch: 18 [47104/48750]	Loss: 0.2960	LR: 0.000800
Training Epoch: 18 [47360/48750]	Loss: 0.2490	LR: 0.000800
Training Epoch: 18 [47616/48750]	Loss: 0.2293	LR: 0.000800
Training Epoch: 18 [47872/48750]	Loss: 0.2845	LR: 0.000800
Training Epoch: 18 [48128/48750]	Loss: 0.2465	LR: 0.000800
Training Epoch: 18 [48384/48750]	Loss: 0.2965	LR: 0.000800
Training Epoch: 18 [48640/48750]	Loss: 0.2311	LR: 0.000800
Training Epoch: 18 [48750/48750]	Loss: 0.3804	LR: 0.000800
Epoch 18 - Average Train Loss: 0.2681, Train Accuracy: 0.9069
Epoch 18 training time consumed: 29.88s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0013, Accuracy: 0.8922, Time consumed:1.01s
Training Epoch: 19 [256/48750]	Loss: 0.3713	LR: 0.000800
Training Epoch: 19 [512/48750]	Loss: 0.2617	LR: 0.000800
Training Epoch: 19 [768/48750]	Loss: 0.2576	LR: 0.000800
Training Epoch: 19 [1024/48750]	Loss: 0.2294	LR: 0.000800
Training Epoch: 19 [1280/48750]	Loss: 0.2705	LR: 0.000800
Training Epoch: 19 [1536/48750]	Loss: 0.2506	LR: 0.000800
Training Epoch: 19 [1792/48750]	Loss: 0.2628	LR: 0.000800
Training Epoch: 19 [2048/48750]	Loss: 0.3044	LR: 0.000800
Training Epoch: 19 [2304/48750]	Loss: 0.2769	LR: 0.000800
Training Epoch: 19 [2560/48750]	Loss: 0.2188	LR: 0.000800
Training Epoch: 19 [2816/48750]	Loss: 0.2974	LR: 0.000800
Training Epoch: 19 [3072/48750]	Loss: 0.2378	LR: 0.000800
Training Epoch: 19 [3328/48750]	Loss: 0.2141	LR: 0.000800
Training Epoch: 19 [3584/48750]	Loss: 0.2411	LR: 0.000800
Training Epoch: 19 [3840/48750]	Loss: 0.2697	LR: 0.000800
Training Epoch: 19 [4096/48750]	Loss: 0.2762	LR: 0.000800
Training Epoch: 19 [4352/48750]	Loss: 0.2052	LR: 0.000800
Training Epoch: 19 [4608/48750]	Loss: 0.2856	LR: 0.000800
Training Epoch: 19 [4864/48750]	Loss: 0.2859	LR: 0.000800
Training Epoch: 19 [5120/48750]	Loss: 0.2599	LR: 0.000800
Training Epoch: 19 [5376/48750]	Loss: 0.3346	LR: 0.000800
Training Epoch: 19 [5632/48750]	Loss: 0.3280	LR: 0.000800
Training Epoch: 19 [5888/48750]	Loss: 0.2827	LR: 0.000800
Training Epoch: 19 [6144/48750]	Loss: 0.3087	LR: 0.000800
Training Epoch: 19 [6400/48750]	Loss: 0.3313	LR: 0.000800
Training Epoch: 19 [6656/48750]	Loss: 0.2849	LR: 0.000800
Training Epoch: 19 [6912/48750]	Loss: 0.2401	LR: 0.000800
Training Epoch: 19 [7168/48750]	Loss: 0.2349	LR: 0.000800
Training Epoch: 19 [7424/48750]	Loss: 0.2523	LR: 0.000800
Training Epoch: 19 [7680/48750]	Loss: 0.2628	LR: 0.000800
Training Epoch: 19 [7936/48750]	Loss: 0.2675	LR: 0.000800
Training Epoch: 19 [8192/48750]	Loss: 0.2538	LR: 0.000800
Training Epoch: 19 [8448/48750]	Loss: 0.2669	LR: 0.000800
Training Epoch: 19 [8704/48750]	Loss: 0.2832	LR: 0.000800
Training Epoch: 19 [8960/48750]	Loss: 0.3294	LR: 0.000800
Training Epoch: 19 [9216/48750]	Loss: 0.2688	LR: 0.000800
Training Epoch: 19 [9472/48750]	Loss: 0.2794	LR: 0.000800
Training Epoch: 19 [9728/48750]	Loss: 0.2646	LR: 0.000800
Training Epoch: 19 [9984/48750]	Loss: 0.2318	LR: 0.000800
Training Epoch: 19 [10240/48750]	Loss: 0.2689	LR: 0.000800
Training Epoch: 19 [10496/48750]	Loss: 0.2270	LR: 0.000800
Training Epoch: 19 [10752/48750]	Loss: 0.2148	LR: 0.000800
Training Epoch: 19 [11008/48750]	Loss: 0.2394	LR: 0.000800
Training Epoch: 19 [11264/48750]	Loss: 0.2503	LR: 0.000800
Training Epoch: 19 [11520/48750]	Loss: 0.1832	LR: 0.000800
Training Epoch: 19 [11776/48750]	Loss: 0.4181	LR: 0.000800
Training Epoch: 19 [12032/48750]	Loss: 0.2899	LR: 0.000800
Training Epoch: 19 [12288/48750]	Loss: 0.2108	LR: 0.000800
Training Epoch: 19 [12544/48750]	Loss: 0.2733	LR: 0.000800
Training Epoch: 19 [12800/48750]	Loss: 0.2493	LR: 0.000800
Training Epoch: 19 [13056/48750]	Loss: 0.2664	LR: 0.000800
Training Epoch: 19 [13312/48750]	Loss: 0.1946	LR: 0.000800
Training Epoch: 19 [13568/48750]	Loss: 0.2292	LR: 0.000800
Training Epoch: 19 [13824/48750]	Loss: 0.2073	LR: 0.000800
Training Epoch: 19 [14080/48750]	Loss: 0.3054	LR: 0.000800
Training Epoch: 19 [14336/48750]	Loss: 0.1905	LR: 0.000800
Training Epoch: 19 [14592/48750]	Loss: 0.3141	LR: 0.000800
Training Epoch: 19 [14848/48750]	Loss: 0.2563	LR: 0.000800
Training Epoch: 19 [15104/48750]	Loss: 0.2515	LR: 0.000800
Training Epoch: 19 [15360/48750]	Loss: 0.2577	LR: 0.000800
Training Epoch: 19 [15616/48750]	Loss: 0.2295	LR: 0.000800
Training Epoch: 19 [15872/48750]	Loss: 0.2393	LR: 0.000800
Training Epoch: 19 [16128/48750]	Loss: 0.2835	LR: 0.000800
Training Epoch: 19 [16384/48750]	Loss: 0.2689	LR: 0.000800
Training Epoch: 19 [16640/48750]	Loss: 0.2654	LR: 0.000800
Training Epoch: 19 [16896/48750]	Loss: 0.2665	LR: 0.000800
Training Epoch: 19 [17152/48750]	Loss: 0.2628	LR: 0.000800
Training Epoch: 19 [17408/48750]	Loss: 0.2707	LR: 0.000800
Training Epoch: 19 [17664/48750]	Loss: 0.3254	LR: 0.000800
Training Epoch: 19 [17920/48750]	Loss: 0.2956	LR: 0.000800
Training Epoch: 19 [18176/48750]	Loss: 0.2103	LR: 0.000800
Training Epoch: 19 [18432/48750]	Loss: 0.2088	LR: 0.000800
Training Epoch: 19 [18688/48750]	Loss: 0.3791	LR: 0.000800
Training Epoch: 19 [18944/48750]	Loss: 0.3024	LR: 0.000800
Training Epoch: 19 [19200/48750]	Loss: 0.2428	LR: 0.000800
Training Epoch: 19 [19456/48750]	Loss: 0.2549	LR: 0.000800
Training Epoch: 19 [19712/48750]	Loss: 0.2933	LR: 0.000800
Training Epoch: 19 [19968/48750]	Loss: 0.2805	LR: 0.000800
Training Epoch: 19 [20224/48750]	Loss: 0.2309	LR: 0.000800
Training Epoch: 19 [20480/48750]	Loss: 0.3128	LR: 0.000800
Training Epoch: 19 [20736/48750]	Loss: 0.2869	LR: 0.000800
Training Epoch: 19 [20992/48750]	Loss: 0.2214	LR: 0.000800
Training Epoch: 19 [21248/48750]	Loss: 0.2636	LR: 0.000800
Training Epoch: 19 [21504/48750]	Loss: 0.2936	LR: 0.000800
Training Epoch: 19 [21760/48750]	Loss: 0.2441	LR: 0.000800
Training Epoch: 19 [22016/48750]	Loss: 0.3057	LR: 0.000800
Training Epoch: 19 [22272/48750]	Loss: 0.2835	LR: 0.000800
Training Epoch: 19 [22528/48750]	Loss: 0.2945	LR: 0.000800
Training Epoch: 19 [22784/48750]	Loss: 0.2851	LR: 0.000800
Training Epoch: 19 [23040/48750]	Loss: 0.2655	LR: 0.000800
Training Epoch: 19 [23296/48750]	Loss: 0.2462	LR: 0.000800
Training Epoch: 19 [23552/48750]	Loss: 0.3212	LR: 0.000800
Training Epoch: 19 [23808/48750]	Loss: 0.2401	LR: 0.000800
Training Epoch: 19 [24064/48750]	Loss: 0.2078	LR: 0.000800
Training Epoch: 19 [24320/48750]	Loss: 0.3248	LR: 0.000800
Training Epoch: 19 [24576/48750]	Loss: 0.2862	LR: 0.000800
Training Epoch: 19 [24832/48750]	Loss: 0.2559	LR: 0.000800
Training Epoch: 19 [25088/48750]	Loss: 0.2127	LR: 0.000800
Training Epoch: 19 [25344/48750]	Loss: 0.2043	LR: 0.000800
Training Epoch: 19 [25600/48750]	Loss: 0.1591	LR: 0.000800
Training Epoch: 19 [25856/48750]	Loss: 0.2316	LR: 0.000800
Training Epoch: 19 [26112/48750]	Loss: 0.2346	LR: 0.000800
Training Epoch: 19 [26368/48750]	Loss: 0.3562	LR: 0.000800
Training Epoch: 19 [26624/48750]	Loss: 0.2443	LR: 0.000800
Training Epoch: 19 [26880/48750]	Loss: 0.2191	LR: 0.000800
Training Epoch: 19 [27136/48750]	Loss: 0.3574	LR: 0.000800
Training Epoch: 19 [27392/48750]	Loss: 0.3275	LR: 0.000800
Training Epoch: 19 [27648/48750]	Loss: 0.2535	LR: 0.000800
Training Epoch: 19 [27904/48750]	Loss: 0.2565	LR: 0.000800
Training Epoch: 19 [28160/48750]	Loss: 0.3072	LR: 0.000800
Training Epoch: 19 [28416/48750]	Loss: 0.2741	LR: 0.000800
Training Epoch: 19 [28672/48750]	Loss: 0.3036	LR: 0.000800
Training Epoch: 19 [28928/48750]	Loss: 0.2955	LR: 0.000800
Training Epoch: 19 [29184/48750]	Loss: 0.2835	LR: 0.000800
Training Epoch: 19 [29440/48750]	Loss: 0.2827	LR: 0.000800
Training Epoch: 19 [29696/48750]	Loss: 0.2439	LR: 0.000800
Training Epoch: 19 [29952/48750]	Loss: 0.2744	LR: 0.000800
Training Epoch: 19 [30208/48750]	Loss: 0.3434	LR: 0.000800
Training Epoch: 19 [30464/48750]	Loss: 0.1819	LR: 0.000800
Training Epoch: 19 [30720/48750]	Loss: 0.2713	LR: 0.000800
Training Epoch: 19 [30976/48750]	Loss: 0.2631	LR: 0.000800
Training Epoch: 19 [31232/48750]	Loss: 0.2659	LR: 0.000800
Training Epoch: 19 [31488/48750]	Loss: 0.2866	LR: 0.000800
Training Epoch: 19 [31744/48750]	Loss: 0.2400	LR: 0.000800
Training Epoch: 19 [32000/48750]	Loss: 0.2490	LR: 0.000800
Training Epoch: 19 [32256/48750]	Loss: 0.2914	LR: 0.000800
Training Epoch: 19 [32512/48750]	Loss: 0.2680	LR: 0.000800
Training Epoch: 19 [32768/48750]	Loss: 0.2641	LR: 0.000800
Training Epoch: 19 [33024/48750]	Loss: 0.2483	LR: 0.000800
Training Epoch: 19 [33280/48750]	Loss: 0.2609	LR: 0.000800
Training Epoch: 19 [33536/48750]	Loss: 0.2521	LR: 0.000800
Training Epoch: 19 [33792/48750]	Loss: 0.1948	LR: 0.000800
Training Epoch: 19 [34048/48750]	Loss: 0.2721	LR: 0.000800
Training Epoch: 19 [34304/48750]	Loss: 0.3215	LR: 0.000800
Training Epoch: 19 [34560/48750]	Loss: 0.2871	LR: 0.000800
Training Epoch: 19 [34816/48750]	Loss: 0.2916	LR: 0.000800
Training Epoch: 19 [35072/48750]	Loss: 0.3423	LR: 0.000800
Training Epoch: 19 [35328/48750]	Loss: 0.2044	LR: 0.000800
Training Epoch: 19 [35584/48750]	Loss: 0.2859	LR: 0.000800
Training Epoch: 19 [35840/48750]	Loss: 0.1999	LR: 0.000800
Training Epoch: 19 [36096/48750]	Loss: 0.3009	LR: 0.000800
Training Epoch: 19 [36352/48750]	Loss: 0.2776	LR: 0.000800
Training Epoch: 19 [36608/48750]	Loss: 0.3014	LR: 0.000800
Training Epoch: 19 [36864/48750]	Loss: 0.1936	LR: 0.000800
Training Epoch: 19 [37120/48750]	Loss: 0.3309	LR: 0.000800
Training Epoch: 19 [37376/48750]	Loss: 0.3151	LR: 0.000800
Training Epoch: 19 [37632/48750]	Loss: 0.2394	LR: 0.000800
Training Epoch: 19 [37888/48750]	Loss: 0.2318	LR: 0.000800
Training Epoch: 19 [38144/48750]	Loss: 0.2680	LR: 0.000800
Training Epoch: 19 [38400/48750]	Loss: 0.2581	LR: 0.000800
Training Epoch: 19 [38656/48750]	Loss: 0.2958	LR: 0.000800
Training Epoch: 19 [38912/48750]	Loss: 0.1701	LR: 0.000800
Training Epoch: 19 [39168/48750]	Loss: 0.2673	LR: 0.000800
Training Epoch: 19 [39424/48750]	Loss: 0.2070	LR: 0.000800
Training Epoch: 19 [39680/48750]	Loss: 0.2392	LR: 0.000800
Training Epoch: 19 [39936/48750]	Loss: 0.3587	LR: 0.000800
Training Epoch: 19 [40192/48750]	Loss: 0.2943	LR: 0.000800
Training Epoch: 19 [40448/48750]	Loss: 0.2006	LR: 0.000800
Training Epoch: 19 [40704/48750]	Loss: 0.2790	LR: 0.000800
Training Epoch: 19 [40960/48750]	Loss: 0.2657	LR: 0.000800
Training Epoch: 19 [41216/48750]	Loss: 0.2435	LR: 0.000800
Training Epoch: 19 [41472/48750]	Loss: 0.2823	LR: 0.000800
Training Epoch: 19 [41728/48750]	Loss: 0.2957	LR: 0.000800
Training Epoch: 19 [41984/48750]	Loss: 0.2566	LR: 0.000800
Training Epoch: 19 [42240/48750]	Loss: 0.2840	LR: 0.000800
Training Epoch: 19 [42496/48750]	Loss: 0.2411	LR: 0.000800
Training Epoch: 19 [42752/48750]	Loss: 0.2495	LR: 0.000800
Training Epoch: 19 [43008/48750]	Loss: 0.3258	LR: 0.000800
Training Epoch: 19 [43264/48750]	Loss: 0.2524	LR: 0.000800
Training Epoch: 19 [43520/48750]	Loss: 0.1908	LR: 0.000800
Training Epoch: 19 [43776/48750]	Loss: 0.1978	LR: 0.000800
Training Epoch: 19 [44032/48750]	Loss: 0.3183	LR: 0.000800
Training Epoch: 19 [44288/48750]	Loss: 0.2415	LR: 0.000800
Training Epoch: 19 [44544/48750]	Loss: 0.2353	LR: 0.000800
Training Epoch: 19 [44800/48750]	Loss: 0.2366	LR: 0.000800
Training Epoch: 19 [45056/48750]	Loss: 0.3481	LR: 0.000800
Training Epoch: 19 [45312/48750]	Loss: 0.2571	LR: 0.000800
Training Epoch: 19 [45568/48750]	Loss: 0.1730	LR: 0.000800
Training Epoch: 19 [45824/48750]	Loss: 0.2592	LR: 0.000800
Training Epoch: 19 [46080/48750]	Loss: 0.3128	LR: 0.000800
Training Epoch: 19 [46336/48750]	Loss: 0.2437	LR: 0.000800
Training Epoch: 19 [46592/48750]	Loss: 0.3307	LR: 0.000800
Training Epoch: 19 [46848/48750]	Loss: 0.2640	LR: 0.000800
Training Epoch: 19 [47104/48750]	Loss: 0.2404	LR: 0.000800
Training Epoch: 19 [47360/48750]	Loss: 0.3249	LR: 0.000800
Training Epoch: 19 [47616/48750]	Loss: 0.3847	LR: 0.000800
Training Epoch: 19 [47872/48750]	Loss: 0.2469	LR: 0.000800
Training Epoch: 19 [48128/48750]	Loss: 0.2290	LR: 0.000800
Training Epoch: 19 [48384/48750]	Loss: 0.2383	LR: 0.000800
Training Epoch: 19 [48640/48750]	Loss: 0.2596	LR: 0.000800
Training Epoch: 19 [48750/48750]	Loss: 0.3760	LR: 0.000800
Epoch 19 - Average Train Loss: 0.2665, Train Accuracy: 0.9065
Epoch 19 training time consumed: 29.69s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0013, Accuracy: 0.8931, Time consumed:1.01s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_20h_07m_11s/ResNet18-Cifar10-seed4-ret75-19-best.pth
Training Epoch: 20 [256/48750]	Loss: 0.2046	LR: 0.000800
Training Epoch: 20 [512/48750]	Loss: 0.2454	LR: 0.000800
Training Epoch: 20 [768/48750]	Loss: 0.2260	LR: 0.000800
Training Epoch: 20 [1024/48750]	Loss: 0.2162	LR: 0.000800
Training Epoch: 20 [1280/48750]	Loss: 0.2992	LR: 0.000800
Training Epoch: 20 [1536/48750]	Loss: 0.3658	LR: 0.000800
Training Epoch: 20 [1792/48750]	Loss: 0.2362	LR: 0.000800
Training Epoch: 20 [2048/48750]	Loss: 0.2900	LR: 0.000800
Training Epoch: 20 [2304/48750]	Loss: 0.3204	LR: 0.000800
Training Epoch: 20 [2560/48750]	Loss: 0.2949	LR: 0.000800
Training Epoch: 20 [2816/48750]	Loss: 0.2573	LR: 0.000800
Training Epoch: 20 [3072/48750]	Loss: 0.2384	LR: 0.000800
Training Epoch: 20 [3328/48750]	Loss: 0.2811	LR: 0.000800
Training Epoch: 20 [3584/48750]	Loss: 0.2465	LR: 0.000800
Training Epoch: 20 [3840/48750]	Loss: 0.2781	LR: 0.000800
Training Epoch: 20 [4096/48750]	Loss: 0.3611	LR: 0.000800
Training Epoch: 20 [4352/48750]	Loss: 0.2166	LR: 0.000800
Training Epoch: 20 [4608/48750]	Loss: 0.3215	LR: 0.000800
Training Epoch: 20 [4864/48750]	Loss: 0.2688	LR: 0.000800
Training Epoch: 20 [5120/48750]	Loss: 0.2360	LR: 0.000800
Training Epoch: 20 [5376/48750]	Loss: 0.2793	LR: 0.000800
Training Epoch: 20 [5632/48750]	Loss: 0.1794	LR: 0.000800
Training Epoch: 20 [5888/48750]	Loss: 0.2185	LR: 0.000800
Training Epoch: 20 [6144/48750]	Loss: 0.2096	LR: 0.000800
Training Epoch: 20 [6400/48750]	Loss: 0.2506	LR: 0.000800
Training Epoch: 20 [6656/48750]	Loss: 0.2916	LR: 0.000800
Training Epoch: 20 [6912/48750]	Loss: 0.2160	LR: 0.000800
Training Epoch: 20 [7168/48750]	Loss: 0.2088	LR: 0.000800
Training Epoch: 20 [7424/48750]	Loss: 0.2219	LR: 0.000800
Training Epoch: 20 [7680/48750]	Loss: 0.2099	LR: 0.000800
Training Epoch: 20 [7936/48750]	Loss: 0.2181	LR: 0.000800
Training Epoch: 20 [8192/48750]	Loss: 0.2341	LR: 0.000800
Training Epoch: 20 [8448/48750]	Loss: 0.3271	LR: 0.000800
Training Epoch: 20 [8704/48750]	Loss: 0.3586	LR: 0.000800
Training Epoch: 20 [8960/48750]	Loss: 0.2676	LR: 0.000800
Training Epoch: 20 [9216/48750]	Loss: 0.2201	LR: 0.000800
Training Epoch: 20 [9472/48750]	Loss: 0.2868	LR: 0.000800
Training Epoch: 20 [9728/48750]	Loss: 0.3110	LR: 0.000800
Training Epoch: 20 [9984/48750]	Loss: 0.3277	LR: 0.000800
Training Epoch: 20 [10240/48750]	Loss: 0.3611	LR: 0.000800
Training Epoch: 20 [10496/48750]	Loss: 0.3048	LR: 0.000800
Training Epoch: 20 [10752/48750]	Loss: 0.2364	LR: 0.000800
Training Epoch: 20 [11008/48750]	Loss: 0.3120	LR: 0.000800
Training Epoch: 20 [11264/48750]	Loss: 0.2125	LR: 0.000800
Training Epoch: 20 [11520/48750]	Loss: 0.2225	LR: 0.000800
Training Epoch: 20 [11776/48750]	Loss: 0.2257	LR: 0.000800
Training Epoch: 20 [12032/48750]	Loss: 0.2566	LR: 0.000800
Training Epoch: 20 [12288/48750]	Loss: 0.2523	LR: 0.000800
Training Epoch: 20 [12544/48750]	Loss: 0.2343	LR: 0.000800
Training Epoch: 20 [12800/48750]	Loss: 0.2040	LR: 0.000800
Training Epoch: 20 [13056/48750]	Loss: 0.2674	LR: 0.000800
Training Epoch: 20 [13312/48750]	Loss: 0.3489	LR: 0.000800
Training Epoch: 20 [13568/48750]	Loss: 0.2840	LR: 0.000800
Training Epoch: 20 [13824/48750]	Loss: 0.1982	LR: 0.000800
Training Epoch: 20 [14080/48750]	Loss: 0.3074	LR: 0.000800
Training Epoch: 20 [14336/48750]	Loss: 0.2324	LR: 0.000800
Training Epoch: 20 [14592/48750]	Loss: 0.2982	LR: 0.000800
Training Epoch: 20 [14848/48750]	Loss: 0.2469	LR: 0.000800
Training Epoch: 20 [15104/48750]	Loss: 0.2266	LR: 0.000800
Training Epoch: 20 [15360/48750]	Loss: 0.2498	LR: 0.000800
Training Epoch: 20 [15616/48750]	Loss: 0.2309	LR: 0.000800
Training Epoch: 20 [15872/48750]	Loss: 0.2283	LR: 0.000800
Training Epoch: 20 [16128/48750]	Loss: 0.2597	LR: 0.000800
Training Epoch: 20 [16384/48750]	Loss: 0.2315	LR: 0.000800
Training Epoch: 20 [16640/48750]	Loss: 0.2897	LR: 0.000800
Training Epoch: 20 [16896/48750]	Loss: 0.2466	LR: 0.000800
Training Epoch: 20 [17152/48750]	Loss: 0.2154	LR: 0.000800
Training Epoch: 20 [17408/48750]	Loss: 0.2371	LR: 0.000800
Training Epoch: 20 [17664/48750]	Loss: 0.2896	LR: 0.000800
Training Epoch: 20 [17920/48750]	Loss: 0.2592	LR: 0.000800
Training Epoch: 20 [18176/48750]	Loss: 0.2769	LR: 0.000800
Training Epoch: 20 [18432/48750]	Loss: 0.3286	LR: 0.000800
Training Epoch: 20 [18688/48750]	Loss: 0.2268	LR: 0.000800
Training Epoch: 20 [18944/48750]	Loss: 0.2624	LR: 0.000800
Training Epoch: 20 [19200/48750]	Loss: 0.2318	LR: 0.000800
Training Epoch: 20 [19456/48750]	Loss: 0.2411	LR: 0.000800
Training Epoch: 20 [19712/48750]	Loss: 0.2532	LR: 0.000800
Training Epoch: 20 [19968/48750]	Loss: 0.2585	LR: 0.000800
Training Epoch: 20 [20224/48750]	Loss: 0.3372	LR: 0.000800
Training Epoch: 20 [20480/48750]	Loss: 0.2107	LR: 0.000800
Training Epoch: 20 [20736/48750]	Loss: 0.2401	LR: 0.000800
Training Epoch: 20 [20992/48750]	Loss: 0.2197	LR: 0.000800
Training Epoch: 20 [21248/48750]	Loss: 0.2535	LR: 0.000800
Training Epoch: 20 [21504/48750]	Loss: 0.2196	LR: 0.000800
Training Epoch: 20 [21760/48750]	Loss: 0.2375	LR: 0.000800
Training Epoch: 20 [22016/48750]	Loss: 0.2210	LR: 0.000800
Training Epoch: 20 [22272/48750]	Loss: 0.2252	LR: 0.000800
Training Epoch: 20 [22528/48750]	Loss: 0.2778	LR: 0.000800
Training Epoch: 20 [22784/48750]	Loss: 0.3253	LR: 0.000800
Training Epoch: 20 [23040/48750]	Loss: 0.3270	LR: 0.000800
Training Epoch: 20 [23296/48750]	Loss: 0.2603	LR: 0.000800
Training Epoch: 20 [23552/48750]	Loss: 0.2315	LR: 0.000800
Training Epoch: 20 [23808/48750]	Loss: 0.2223	LR: 0.000800
Training Epoch: 20 [24064/48750]	Loss: 0.2650	LR: 0.000800
Training Epoch: 20 [24320/48750]	Loss: 0.2251	LR: 0.000800
Training Epoch: 20 [24576/48750]	Loss: 0.1871	LR: 0.000800
Training Epoch: 20 [24832/48750]	Loss: 0.2690	LR: 0.000800
Training Epoch: 20 [25088/48750]	Loss: 0.2638	LR: 0.000800
Training Epoch: 20 [25344/48750]	Loss: 0.2943	LR: 0.000800
Training Epoch: 20 [25600/48750]	Loss: 0.2674	LR: 0.000800
Training Epoch: 20 [25856/48750]	Loss: 0.2234	LR: 0.000800
Training Epoch: 20 [26112/48750]	Loss: 0.3148	LR: 0.000800
Training Epoch: 20 [26368/48750]	Loss: 0.2337	LR: 0.000800
Training Epoch: 20 [26624/48750]	Loss: 0.2114	LR: 0.000800
Training Epoch: 20 [26880/48750]	Loss: 0.3212	LR: 0.000800
Training Epoch: 20 [27136/48750]	Loss: 0.2555	LR: 0.000800
Training Epoch: 20 [27392/48750]	Loss: 0.2394	LR: 0.000800
Training Epoch: 20 [27648/48750]	Loss: 0.2985	LR: 0.000800
Training Epoch: 20 [27904/48750]	Loss: 0.2829	LR: 0.000800
Training Epoch: 20 [28160/48750]	Loss: 0.3344	LR: 0.000800
Training Epoch: 20 [28416/48750]	Loss: 0.2377	LR: 0.000800
Training Epoch: 20 [28672/48750]	Loss: 0.3938	LR: 0.000800
Training Epoch: 20 [28928/48750]	Loss: 0.2510	LR: 0.000800
Training Epoch: 20 [29184/48750]	Loss: 0.2213	LR: 0.000800
Training Epoch: 20 [29440/48750]	Loss: 0.3545	LR: 0.000800
Training Epoch: 20 [29696/48750]	Loss: 0.3040	LR: 0.000800
Training Epoch: 20 [29952/48750]	Loss: 0.3023	LR: 0.000800
Training Epoch: 20 [30208/48750]	Loss: 0.2518	LR: 0.000800
Training Epoch: 20 [30464/48750]	Loss: 0.2667	LR: 0.000800
Training Epoch: 20 [30720/48750]	Loss: 0.2467	LR: 0.000800
Training Epoch: 20 [30976/48750]	Loss: 0.2805	LR: 0.000800
Training Epoch: 20 [31232/48750]	Loss: 0.3385	LR: 0.000800
Training Epoch: 20 [31488/48750]	Loss: 0.2439	LR: 0.000800
Training Epoch: 20 [31744/48750]	Loss: 0.3379	LR: 0.000800
Training Epoch: 20 [32000/48750]	Loss: 0.3133	LR: 0.000800
Training Epoch: 20 [32256/48750]	Loss: 0.2761	LR: 0.000800
Training Epoch: 20 [32512/48750]	Loss: 0.2280	LR: 0.000800
Training Epoch: 20 [32768/48750]	Loss: 0.3028	LR: 0.000800
Training Epoch: 20 [33024/48750]	Loss: 0.3509	LR: 0.000800
Training Epoch: 20 [33280/48750]	Loss: 0.3596	LR: 0.000800
Training Epoch: 20 [33536/48750]	Loss: 0.2723	LR: 0.000800
Training Epoch: 20 [33792/48750]	Loss: 0.2600	LR: 0.000800
Training Epoch: 20 [34048/48750]	Loss: 0.2845	LR: 0.000800
Training Epoch: 20 [34304/48750]	Loss: 0.2407	LR: 0.000800
Training Epoch: 20 [34560/48750]	Loss: 0.2842	LR: 0.000800
Training Epoch: 20 [34816/48750]	Loss: 0.2651	LR: 0.000800
Training Epoch: 20 [35072/48750]	Loss: 0.3036	LR: 0.000800
Training Epoch: 20 [35328/48750]	Loss: 0.2246	LR: 0.000800
Training Epoch: 20 [35584/48750]	Loss: 0.1787	LR: 0.000800
Training Epoch: 20 [35840/48750]	Loss: 0.2548	LR: 0.000800
Training Epoch: 20 [36096/48750]	Loss: 0.3143	LR: 0.000800
Training Epoch: 20 [36352/48750]	Loss: 0.2115	LR: 0.000800
Training Epoch: 20 [36608/48750]	Loss: 0.2354	LR: 0.000800
Training Epoch: 20 [36864/48750]	Loss: 0.2620	LR: 0.000800
Training Epoch: 20 [37120/48750]	Loss: 0.2431	LR: 0.000800
Training Epoch: 20 [37376/48750]	Loss: 0.2921	LR: 0.000800
Training Epoch: 20 [37632/48750]	Loss: 0.2461	LR: 0.000800
Training Epoch: 20 [37888/48750]	Loss: 0.2453	LR: 0.000800
Training Epoch: 20 [38144/48750]	Loss: 0.2793	LR: 0.000800
Training Epoch: 20 [38400/48750]	Loss: 0.2426	LR: 0.000800
Training Epoch: 20 [38656/48750]	Loss: 0.2126	LR: 0.000800
Training Epoch: 20 [38912/48750]	Loss: 0.3027	LR: 0.000800
Training Epoch: 20 [39168/48750]	Loss: 0.3289	LR: 0.000800
Training Epoch: 20 [39424/48750]	Loss: 0.3503	LR: 0.000800
Training Epoch: 20 [39680/48750]	Loss: 0.2195	LR: 0.000800
Training Epoch: 20 [39936/48750]	Loss: 0.3541	LR: 0.000800
Training Epoch: 20 [40192/48750]	Loss: 0.1990	LR: 0.000800
Training Epoch: 20 [40448/48750]	Loss: 0.2592	LR: 0.000800
Training Epoch: 20 [40704/48750]	Loss: 0.2481	LR: 0.000800
Training Epoch: 20 [40960/48750]	Loss: 0.2629	LR: 0.000800
Training Epoch: 20 [41216/48750]	Loss: 0.1835	LR: 0.000800
Training Epoch: 20 [41472/48750]	Loss: 0.2254	LR: 0.000800
Training Epoch: 20 [41728/48750]	Loss: 0.2777	LR: 0.000800
Training Epoch: 20 [41984/48750]	Loss: 0.2319	LR: 0.000800
Training Epoch: 20 [42240/48750]	Loss: 0.2295	LR: 0.000800
Training Epoch: 20 [42496/48750]	Loss: 0.3431	LR: 0.000800
Training Epoch: 20 [42752/48750]	Loss: 0.3026	LR: 0.000800
Training Epoch: 20 [43008/48750]	Loss: 0.2015	LR: 0.000800
Training Epoch: 20 [43264/48750]	Loss: 0.2695	LR: 0.000800
Training Epoch: 20 [43520/48750]	Loss: 0.2586	LR: 0.000800
Training Epoch: 20 [43776/48750]	Loss: 0.2112	LR: 0.000800
Training Epoch: 20 [44032/48750]	Loss: 0.2467	LR: 0.000800
Training Epoch: 20 [44288/48750]	Loss: 0.2424	LR: 0.000800
Training Epoch: 20 [44544/48750]	Loss: 0.3034	LR: 0.000800
Training Epoch: 20 [44800/48750]	Loss: 0.3014	LR: 0.000800
Training Epoch: 20 [45056/48750]	Loss: 0.1853	LR: 0.000800
Training Epoch: 20 [45312/48750]	Loss: 0.2536	LR: 0.000800
Training Epoch: 20 [45568/48750]	Loss: 0.3214	LR: 0.000800
Training Epoch: 20 [45824/48750]	Loss: 0.2738	LR: 0.000800
Training Epoch: 20 [46080/48750]	Loss: 0.2229	LR: 0.000800
Training Epoch: 20 [46336/48750]	Loss: 0.2643	LR: 0.000800
Training Epoch: 20 [46592/48750]	Loss: 0.2310	LR: 0.000800
Training Epoch: 20 [46848/48750]	Loss: 0.2648	LR: 0.000800
Training Epoch: 20 [47104/48750]	Loss: 0.2987	LR: 0.000800
Training Epoch: 20 [47360/48750]	Loss: 0.3090	LR: 0.000800
Training Epoch: 20 [47616/48750]	Loss: 0.2871	LR: 0.000800
Training Epoch: 20 [47872/48750]	Loss: 0.2577	LR: 0.000800
Training Epoch: 20 [48128/48750]	Loss: 0.2358	LR: 0.000800
Training Epoch: 20 [48384/48750]	Loss: 0.2544	LR: 0.000800
Training Epoch: 20 [48640/48750]	Loss: 0.2411	LR: 0.000800
Training Epoch: 20 [48750/48750]	Loss: 0.3513	LR: 0.000800
Epoch 20 - Average Train Loss: 0.2636, Train Accuracy: 0.9088
Epoch 20 training time consumed: 29.84s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0013, Accuracy: 0.8918, Time consumed:1.08s
Valid (Test) Dl:  10000
Train Dl:  50000
Retain Train Dl:  48750
Forget Train Dl:  1250
Retain Valid Dl:  48750
Forget Valid Dl:  1250
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 1250 samples
Set1 Distribution: 1250 samples
Set2 Distribution: 1250 samples
MIA Attack Accuracy with XGBoost: 0.7180
Set1 Distribution: 1250 samples
Set2 Distribution: 1250 samples
MIA Attack Accuracy with XGBoost: 0.4920
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
MIA Attack Accuracy with XGBoost: 0.6600
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
MIA Attack Accuracy with XGBoost: 0.5132
Test Accuracy: 91.552734375
Retain Accuracy: 93.9961929321289
Zero-Retain Forget (ZRF): 0.8259122967720032
Membership Inference Attack (MIA): 0.6824
Forget vs Retain Membership Inference Attack (MIA): 0.718
Forget vs Test Membership Inference Attack (MIA): 0.492
Test vs Retain Membership Inference Attack (MIA): 0.66
Train vs Test Membership Inference Attack (MIA): 0.51325
Forget Set Accuracy (Df): 94.21391296386719
Method Execution Time: 2503.20 seconds
