hello
hello

📌 Retain class distribution for seed 1:
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 1:
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
hello
hello
⚠️ Warning: Retain train loader may not be shuffled.
Training Epoch: 1 [256/48750]	Loss: 2.3855	LR: 0.000000
Training Epoch: 1 [512/48750]	Loss: 2.3840	LR: 0.000524
Training Epoch: 1 [768/48750]	Loss: 2.3559	LR: 0.001047
Training Epoch: 1 [1024/48750]	Loss: 2.3662	LR: 0.001571
Training Epoch: 1 [1280/48750]	Loss: 2.3183	LR: 0.002094
Training Epoch: 1 [1536/48750]	Loss: 2.2871	LR: 0.002618
Training Epoch: 1 [1792/48750]	Loss: 2.2592	LR: 0.003141
Training Epoch: 1 [2048/48750]	Loss: 2.2448	LR: 0.003665
Training Epoch: 1 [2304/48750]	Loss: 2.2586	LR: 0.004188
Training Epoch: 1 [2560/48750]	Loss: 2.3158	LR: 0.004712
Training Epoch: 1 [2816/48750]	Loss: 2.2846	LR: 0.005236
Training Epoch: 1 [3072/48750]	Loss: 2.1450	LR: 0.005759
Training Epoch: 1 [3328/48750]	Loss: 2.1249	LR: 0.006283
Training Epoch: 1 [3584/48750]	Loss: 2.0673	LR: 0.006806
Training Epoch: 1 [3840/48750]	Loss: 2.0572	LR: 0.007330
Training Epoch: 1 [4096/48750]	Loss: 2.0311	LR: 0.007853
Training Epoch: 1 [4352/48750]	Loss: 2.0127	LR: 0.008377
Training Epoch: 1 [4608/48750]	Loss: 2.0432	LR: 0.008901
Training Epoch: 1 [4864/48750]	Loss: 2.0257	LR: 0.009424
Training Epoch: 1 [5120/48750]	Loss: 1.9540	LR: 0.009948
Training Epoch: 1 [5376/48750]	Loss: 1.9068	LR: 0.010471
Training Epoch: 1 [5632/48750]	Loss: 1.8704	LR: 0.010995
Training Epoch: 1 [5888/48750]	Loss: 1.9235	LR: 0.011518
Training Epoch: 1 [6144/48750]	Loss: 1.7706	LR: 0.012042
Training Epoch: 1 [6400/48750]	Loss: 1.9180	LR: 0.012565
Training Epoch: 1 [6656/48750]	Loss: 1.8378	LR: 0.013089
Training Epoch: 1 [6912/48750]	Loss: 1.9507	LR: 0.013613
Training Epoch: 1 [7168/48750]	Loss: 1.8873	LR: 0.014136
Training Epoch: 1 [7424/48750]	Loss: 1.8695	LR: 0.014660
Training Epoch: 1 [7680/48750]	Loss: 1.8821	LR: 0.015183
Training Epoch: 1 [7936/48750]	Loss: 1.7655	LR: 0.015707
Training Epoch: 1 [8192/48750]	Loss: 1.9383	LR: 0.016230
Training Epoch: 1 [8448/48750]	Loss: 1.8416	LR: 0.016754
Training Epoch: 1 [8704/48750]	Loss: 2.0296	LR: 0.017277
Training Epoch: 1 [8960/48750]	Loss: 1.9013	LR: 0.017801
Training Epoch: 1 [9216/48750]	Loss: 1.8560	LR: 0.018325
Training Epoch: 1 [9472/48750]	Loss: 1.7710	LR: 0.018848
Training Epoch: 1 [9728/48750]	Loss: 1.8206	LR: 0.019372
Training Epoch: 1 [9984/48750]	Loss: 1.8804	LR: 0.019895
Training Epoch: 1 [10240/48750]	Loss: 1.8150	LR: 0.020419
Training Epoch: 1 [10496/48750]	Loss: 1.7237	LR: 0.020942
Training Epoch: 1 [10752/48750]	Loss: 1.7540	LR: 0.021466
Training Epoch: 1 [11008/48750]	Loss: 1.7995	LR: 0.021990
Training Epoch: 1 [11264/48750]	Loss: 1.7406	LR: 0.022513
Training Epoch: 1 [11520/48750]	Loss: 1.8295	LR: 0.023037
Training Epoch: 1 [11776/48750]	Loss: 1.8654	LR: 0.023560
Training Epoch: 1 [12032/48750]	Loss: 1.7761	LR: 0.024084
Training Epoch: 1 [12288/48750]	Loss: 1.8485	LR: 0.024607
Training Epoch: 1 [12544/48750]	Loss: 1.8068	LR: 0.025131
Training Epoch: 1 [12800/48750]	Loss: 1.6577	LR: 0.025654
Training Epoch: 1 [13056/48750]	Loss: 1.9905	LR: 0.026178
Training Epoch: 1 [13312/48750]	Loss: 1.7424	LR: 0.026702
Training Epoch: 1 [13568/48750]	Loss: 1.8459	LR: 0.027225
Training Epoch: 1 [13824/48750]	Loss: 1.8141	LR: 0.027749
Training Epoch: 1 [14080/48750]	Loss: 1.8667	LR: 0.028272
Training Epoch: 1 [14336/48750]	Loss: 1.7808	LR: 0.028796
Training Epoch: 1 [14592/48750]	Loss: 1.7309	LR: 0.029319
Training Epoch: 1 [14848/48750]	Loss: 1.7939	LR: 0.029843
Training Epoch: 1 [15104/48750]	Loss: 1.7257	LR: 0.030366
Training Epoch: 1 [15360/48750]	Loss: 1.7222	LR: 0.030890
Training Epoch: 1 [15616/48750]	Loss: 1.7807	LR: 0.031414
Training Epoch: 1 [15872/48750]	Loss: 1.6318	LR: 0.031937
Training Epoch: 1 [16128/48750]	Loss: 1.7120	LR: 0.032461
Training Epoch: 1 [16384/48750]	Loss: 1.6380	LR: 0.032984
Training Epoch: 1 [16640/48750]	Loss: 1.5760	LR: 0.033508
Training Epoch: 1 [16896/48750]	Loss: 1.7607	LR: 0.034031
Training Epoch: 1 [17152/48750]	Loss: 1.6943	LR: 0.034555
Training Epoch: 1 [17408/48750]	Loss: 1.6291	LR: 0.035079
Training Epoch: 1 [17664/48750]	Loss: 1.7414	LR: 0.035602
Training Epoch: 1 [17920/48750]	Loss: 1.9010	LR: 0.036126
Training Epoch: 1 [18176/48750]	Loss: 1.7035	LR: 0.036649
Training Epoch: 1 [18432/48750]	Loss: 1.7067	LR: 0.037173
Training Epoch: 1 [18688/48750]	Loss: 1.7712	LR: 0.037696
Training Epoch: 1 [18944/48750]	Loss: 1.8671	LR: 0.038220
Training Epoch: 1 [19200/48750]	Loss: 1.8361	LR: 0.038743
Training Epoch: 1 [19456/48750]	Loss: 1.6859	LR: 0.039267
Training Epoch: 1 [19712/48750]	Loss: 1.7361	LR: 0.039791
Training Epoch: 1 [19968/48750]	Loss: 1.6656	LR: 0.040314
Training Epoch: 1 [20224/48750]	Loss: 1.5894	LR: 0.040838
Training Epoch: 1 [20480/48750]	Loss: 1.6837	LR: 0.041361
Training Epoch: 1 [20736/48750]	Loss: 1.5897	LR: 0.041885
Training Epoch: 1 [20992/48750]	Loss: 1.5601	LR: 0.042408
Training Epoch: 1 [21248/48750]	Loss: 1.5149	LR: 0.042932
Training Epoch: 1 [21504/48750]	Loss: 1.5954	LR: 0.043455
Training Epoch: 1 [21760/48750]	Loss: 1.8754	LR: 0.043979
Training Epoch: 1 [22016/48750]	Loss: 1.8648	LR: 0.044503
Training Epoch: 1 [22272/48750]	Loss: 1.7451	LR: 0.045026
Training Epoch: 1 [22528/48750]	Loss: 1.6509	LR: 0.045550
Training Epoch: 1 [22784/48750]	Loss: 1.5823	LR: 0.046073
Training Epoch: 1 [23040/48750]	Loss: 1.6298	LR: 0.046597
Training Epoch: 1 [23296/48750]	Loss: 1.6970	LR: 0.047120
Training Epoch: 1 [23552/48750]	Loss: 1.7176	LR: 0.047644
Training Epoch: 1 [23808/48750]	Loss: 1.6272	LR: 0.048168
Training Epoch: 1 [24064/48750]	Loss: 1.7089	LR: 0.048691
Training Epoch: 1 [24320/48750]	Loss: 1.5801	LR: 0.049215
Training Epoch: 1 [24576/48750]	Loss: 1.5770	LR: 0.049738
Training Epoch: 1 [24832/48750]	Loss: 1.6908	LR: 0.050262
Training Epoch: 1 [25088/48750]	Loss: 1.6573	LR: 0.050785
Training Epoch: 1 [25344/48750]	Loss: 1.6751	LR: 0.051309
Training Epoch: 1 [25600/48750]	Loss: 1.5741	LR: 0.051832
Training Epoch: 1 [25856/48750]	Loss: 1.4259	LR: 0.052356
Training Epoch: 1 [26112/48750]	Loss: 1.5789	LR: 0.052880
Training Epoch: 1 [26368/48750]	Loss: 1.7785	LR: 0.053403
Training Epoch: 1 [26624/48750]	Loss: 1.5691	LR: 0.053927
Training Epoch: 1 [26880/48750]	Loss: 1.4518	LR: 0.054450
Training Epoch: 1 [27136/48750]	Loss: 1.6457	LR: 0.054974
Training Epoch: 1 [27392/48750]	Loss: 1.6365	LR: 0.055497
Training Epoch: 1 [27648/48750]	Loss: 1.5537	LR: 0.056021
Training Epoch: 1 [27904/48750]	Loss: 1.6306	LR: 0.056545
Training Epoch: 1 [28160/48750]	Loss: 1.6749	LR: 0.057068
Training Epoch: 1 [28416/48750]	Loss: 1.5621	LR: 0.057592
Training Epoch: 1 [28672/48750]	Loss: 1.6166	LR: 0.058115
Training Epoch: 1 [28928/48750]	Loss: 1.5667	LR: 0.058639
Training Epoch: 1 [29184/48750]	Loss: 1.5889	LR: 0.059162
Training Epoch: 1 [29440/48750]	Loss: 1.5721	LR: 0.059686
Training Epoch: 1 [29696/48750]	Loss: 1.5030	LR: 0.060209
Training Epoch: 1 [29952/48750]	Loss: 1.6369	LR: 0.060733
Training Epoch: 1 [30208/48750]	Loss: 1.5741	LR: 0.061257
Training Epoch: 1 [30464/48750]	Loss: 1.6429	LR: 0.061780
Training Epoch: 1 [30720/48750]	Loss: 1.5689	LR: 0.062304
Training Epoch: 1 [30976/48750]	Loss: 1.5324	LR: 0.062827
Training Epoch: 1 [31232/48750]	Loss: 1.4479	LR: 0.063351
Training Epoch: 1 [31488/48750]	Loss: 1.6409	LR: 0.063874
Training Epoch: 1 [31744/48750]	Loss: 1.6142	LR: 0.064398
Training Epoch: 1 [32000/48750]	Loss: 1.6866	LR: 0.064921
Training Epoch: 1 [32256/48750]	Loss: 1.6577	LR: 0.065445
Training Epoch: 1 [32512/48750]	Loss: 1.7780	LR: 0.065969
Training Epoch: 1 [32768/48750]	Loss: 1.5296	LR: 0.066492
Training Epoch: 1 [33024/48750]	Loss: 1.5660	LR: 0.067016
Training Epoch: 1 [33280/48750]	Loss: 1.6969	LR: 0.067539
Training Epoch: 1 [33536/48750]	Loss: 1.6368	LR: 0.068063
Training Epoch: 1 [33792/48750]	Loss: 1.6540	LR: 0.068586
Training Epoch: 1 [34048/48750]	Loss: 1.7041	LR: 0.069110
Training Epoch: 1 [34304/48750]	Loss: 1.5697	LR: 0.069634
Training Epoch: 1 [34560/48750]	Loss: 1.6406	LR: 0.070157
Training Epoch: 1 [34816/48750]	Loss: 1.6219	LR: 0.070681
Training Epoch: 1 [35072/48750]	Loss: 1.4796	LR: 0.071204
Training Epoch: 1 [35328/48750]	Loss: 1.5149	LR: 0.071728
Training Epoch: 1 [35584/48750]	Loss: 1.5103	LR: 0.072251
Training Epoch: 1 [35840/48750]	Loss: 1.6940	LR: 0.072775
Training Epoch: 1 [36096/48750]	Loss: 1.6323	LR: 0.073298
Training Epoch: 1 [36352/48750]	Loss: 1.4401	LR: 0.073822
Training Epoch: 1 [36608/48750]	Loss: 1.5431	LR: 0.074346
Training Epoch: 1 [36864/48750]	Loss: 1.5910	LR: 0.074869
Training Epoch: 1 [37120/48750]	Loss: 1.5654	LR: 0.075393
Training Epoch: 1 [37376/48750]	Loss: 1.5976	LR: 0.075916
Training Epoch: 1 [37632/48750]	Loss: 1.5499	LR: 0.076440
Training Epoch: 1 [37888/48750]	Loss: 1.6069	LR: 0.076963
Training Epoch: 1 [38144/48750]	Loss: 1.6072	LR: 0.077487
Training Epoch: 1 [38400/48750]	Loss: 1.4756	LR: 0.078010
Training Epoch: 1 [38656/48750]	Loss: 1.5721	LR: 0.078534
Training Epoch: 1 [38912/48750]	Loss: 1.5125	LR: 0.079058
Training Epoch: 1 [39168/48750]	Loss: 1.3787	LR: 0.079581
Training Epoch: 1 [39424/48750]	Loss: 1.4785	LR: 0.080105
Training Epoch: 1 [39680/48750]	Loss: 1.5313	LR: 0.080628
Training Epoch: 1 [39936/48750]	Loss: 1.3106	LR: 0.081152
Training Epoch: 1 [40192/48750]	Loss: 1.4734	LR: 0.081675
Training Epoch: 1 [40448/48750]	Loss: 1.4651	LR: 0.082199
Training Epoch: 1 [40704/48750]	Loss: 1.4300	LR: 0.082723
Training Epoch: 1 [40960/48750]	Loss: 1.4994	LR: 0.083246
Training Epoch: 1 [41216/48750]	Loss: 1.5352	LR: 0.083770
Training Epoch: 1 [41472/48750]	Loss: 1.5484	LR: 0.084293
Training Epoch: 1 [41728/48750]	Loss: 1.4469	LR: 0.084817
Training Epoch: 1 [41984/48750]	Loss: 1.5682	LR: 0.085340
Training Epoch: 1 [42240/48750]	Loss: 1.4607	LR: 0.085864
Training Epoch: 1 [42496/48750]	Loss: 1.3699	LR: 0.086387
Training Epoch: 1 [42752/48750]	Loss: 1.3888	LR: 0.086911
Training Epoch: 1 [43008/48750]	Loss: 1.3651	LR: 0.087435
Training Epoch: 1 [43264/48750]	Loss: 1.4982	LR: 0.087958
Training Epoch: 1 [43520/48750]	Loss: 1.3479	LR: 0.088482
Training Epoch: 1 [43776/48750]	Loss: 1.5730	LR: 0.089005
Training Epoch: 1 [44032/48750]	Loss: 1.5188	LR: 0.089529
Training Epoch: 1 [44288/48750]	Loss: 1.3938	LR: 0.090052
Training Epoch: 1 [44544/48750]	Loss: 1.6102	LR: 0.090576
Training Epoch: 1 [44800/48750]	Loss: 1.4372	LR: 0.091099
Training Epoch: 1 [45056/48750]	Loss: 1.4230	LR: 0.091623
Training Epoch: 1 [45312/48750]	Loss: 1.3939	LR: 0.092147
Training Epoch: 1 [45568/48750]	Loss: 1.3297	LR: 0.092670
Training Epoch: 1 [45824/48750]	Loss: 1.4019	LR: 0.093194
Training Epoch: 1 [46080/48750]	Loss: 1.4943	LR: 0.093717
Training Epoch: 1 [46336/48750]	Loss: 1.3562	LR: 0.094241
Training Epoch: 1 [46592/48750]	Loss: 1.4679	LR: 0.094764
Training Epoch: 1 [46848/48750]	Loss: 1.3808	LR: 0.095288
Training Epoch: 1 [47104/48750]	Loss: 1.4989	LR: 0.095812
Training Epoch: 1 [47360/48750]	Loss: 1.4789	LR: 0.096335
Training Epoch: 1 [47616/48750]	Loss: 1.5152	LR: 0.096859
Training Epoch: 1 [47872/48750]	Loss: 1.3728	LR: 0.097382
Training Epoch: 1 [48128/48750]	Loss: 1.5173	LR: 0.097906
Training Epoch: 1 [48384/48750]	Loss: 1.4998	LR: 0.098429
Training Epoch: 1 [48640/48750]	Loss: 1.5598	LR: 0.098953
Training Epoch: 1 [48750/48750]	Loss: 1.5475	LR: 0.099476
Epoch 1 - Average Train Loss: 1.6974, Train Accuracy: 0.3786
Epoch 1 training time consumed: 30.73s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0113, Accuracy: 0.3334, Time consumed:1.28s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_14h_23m_58s/ResNet18-Cifar10-seed1-ret75-1-best.pth
Training Epoch: 2 [256/48750]	Loss: 1.5127	LR: 0.100000
Training Epoch: 2 [512/48750]	Loss: 1.8104	LR: 0.100000
Training Epoch: 2 [768/48750]	Loss: 1.6947	LR: 0.100000
Training Epoch: 2 [1024/48750]	Loss: 1.6084	LR: 0.100000
Training Epoch: 2 [1280/48750]	Loss: 1.4506	LR: 0.100000
Training Epoch: 2 [1536/48750]	Loss: 1.4178	LR: 0.100000
Training Epoch: 2 [1792/48750]	Loss: 1.5836	LR: 0.100000
Training Epoch: 2 [2048/48750]	Loss: 1.5037	LR: 0.100000
Training Epoch: 2 [2304/48750]	Loss: 1.5592	LR: 0.100000
Training Epoch: 2 [2560/48750]	Loss: 1.4596	LR: 0.100000
Training Epoch: 2 [2816/48750]	Loss: 1.4314	LR: 0.100000
Training Epoch: 2 [3072/48750]	Loss: 1.5204	LR: 0.100000
Training Epoch: 2 [3328/48750]	Loss: 1.3887	LR: 0.100000
Training Epoch: 2 [3584/48750]	Loss: 1.3691	LR: 0.100000
Training Epoch: 2 [3840/48750]	Loss: 1.5199	LR: 0.100000
Training Epoch: 2 [4096/48750]	Loss: 1.3246	LR: 0.100000
Training Epoch: 2 [4352/48750]	Loss: 1.3814	LR: 0.100000
Training Epoch: 2 [4608/48750]	Loss: 1.3402	LR: 0.100000
Training Epoch: 2 [4864/48750]	Loss: 1.3862	LR: 0.100000
Training Epoch: 2 [5120/48750]	Loss: 1.5579	LR: 0.100000
Training Epoch: 2 [5376/48750]	Loss: 1.3944	LR: 0.100000
Training Epoch: 2 [5632/48750]	Loss: 1.3405	LR: 0.100000
Training Epoch: 2 [5888/48750]	Loss: 1.4364	LR: 0.100000
Training Epoch: 2 [6144/48750]	Loss: 1.3368	LR: 0.100000
Training Epoch: 2 [6400/48750]	Loss: 1.3081	LR: 0.100000
Training Epoch: 2 [6656/48750]	Loss: 1.5052	LR: 0.100000
Training Epoch: 2 [6912/48750]	Loss: 1.2905	LR: 0.100000
Training Epoch: 2 [7168/48750]	Loss: 1.3400	LR: 0.100000
Training Epoch: 2 [7424/48750]	Loss: 1.3338	LR: 0.100000
Training Epoch: 2 [7680/48750]	Loss: 1.3154	LR: 0.100000
Training Epoch: 2 [7936/48750]	Loss: 1.2059	LR: 0.100000
Training Epoch: 2 [8192/48750]	Loss: 1.3989	LR: 0.100000
Training Epoch: 2 [8448/48750]	Loss: 1.3934	LR: 0.100000
Training Epoch: 2 [8704/48750]	Loss: 1.1804	LR: 0.100000
Training Epoch: 2 [8960/48750]	Loss: 1.2949	LR: 0.100000
Training Epoch: 2 [9216/48750]	Loss: 1.3970	LR: 0.100000
Training Epoch: 2 [9472/48750]	Loss: 1.3965	LR: 0.100000
Training Epoch: 2 [9728/48750]	Loss: 1.2712	LR: 0.100000
Training Epoch: 2 [9984/48750]	Loss: 1.3370	LR: 0.100000
Training Epoch: 2 [10240/48750]	Loss: 1.1294	LR: 0.100000
Training Epoch: 2 [10496/48750]	Loss: 1.2696	LR: 0.100000
Training Epoch: 2 [10752/48750]	Loss: 1.2904	LR: 0.100000
Training Epoch: 2 [11008/48750]	Loss: 1.2131	LR: 0.100000
Training Epoch: 2 [11264/48750]	Loss: 1.2812	LR: 0.100000
Training Epoch: 2 [11520/48750]	Loss: 1.3088	LR: 0.100000
Training Epoch: 2 [11776/48750]	Loss: 1.1520	LR: 0.100000
Training Epoch: 2 [12032/48750]	Loss: 1.3305	LR: 0.100000
Training Epoch: 2 [12288/48750]	Loss: 1.1598	LR: 0.100000
Training Epoch: 2 [12544/48750]	Loss: 1.1930	LR: 0.100000
Training Epoch: 2 [12800/48750]	Loss: 1.2155	LR: 0.100000
Training Epoch: 2 [13056/48750]	Loss: 1.2484	LR: 0.100000
Training Epoch: 2 [13312/48750]	Loss: 1.3259	LR: 0.100000
Training Epoch: 2 [13568/48750]	Loss: 1.1659	LR: 0.100000
Training Epoch: 2 [13824/48750]	Loss: 1.0983	LR: 0.100000
Training Epoch: 2 [14080/48750]	Loss: 1.2354	LR: 0.100000
Training Epoch: 2 [14336/48750]	Loss: 1.3382	LR: 0.100000
Training Epoch: 2 [14592/48750]	Loss: 1.2902	LR: 0.100000
Training Epoch: 2 [14848/48750]	Loss: 1.1497	LR: 0.100000
Training Epoch: 2 [15104/48750]	Loss: 1.3588	LR: 0.100000
Training Epoch: 2 [15360/48750]	Loss: 1.2542	LR: 0.100000
Training Epoch: 2 [15616/48750]	Loss: 1.1887	LR: 0.100000
Training Epoch: 2 [15872/48750]	Loss: 1.1729	LR: 0.100000
Training Epoch: 2 [16128/48750]	Loss: 1.1748	LR: 0.100000
Training Epoch: 2 [16384/48750]	Loss: 1.4342	LR: 0.100000
Training Epoch: 2 [16640/48750]	Loss: 1.4253	LR: 0.100000
Training Epoch: 2 [16896/48750]	Loss: 1.1659	LR: 0.100000
Training Epoch: 2 [17152/48750]	Loss: 1.3079	LR: 0.100000
Training Epoch: 2 [17408/48750]	Loss: 1.4078	LR: 0.100000
Training Epoch: 2 [17664/48750]	Loss: 1.2065	LR: 0.100000
Training Epoch: 2 [17920/48750]	Loss: 1.3391	LR: 0.100000
Training Epoch: 2 [18176/48750]	Loss: 1.3736	LR: 0.100000
Training Epoch: 2 [18432/48750]	Loss: 1.1947	LR: 0.100000
Training Epoch: 2 [18688/48750]	Loss: 1.2762	LR: 0.100000
Training Epoch: 2 [18944/48750]	Loss: 1.1640	LR: 0.100000
Training Epoch: 2 [19200/48750]	Loss: 1.3139	LR: 0.100000
Training Epoch: 2 [19456/48750]	Loss: 1.2255	LR: 0.100000
Training Epoch: 2 [19712/48750]	Loss: 1.2912	LR: 0.100000
Training Epoch: 2 [19968/48750]	Loss: 1.1361	LR: 0.100000
Training Epoch: 2 [20224/48750]	Loss: 1.2384	LR: 0.100000
Training Epoch: 2 [20480/48750]	Loss: 1.1986	LR: 0.100000
Training Epoch: 2 [20736/48750]	Loss: 1.3289	LR: 0.100000
Training Epoch: 2 [20992/48750]	Loss: 1.1398	LR: 0.100000
Training Epoch: 2 [21248/48750]	Loss: 1.1751	LR: 0.100000
Training Epoch: 2 [21504/48750]	Loss: 1.1291	LR: 0.100000
Training Epoch: 2 [21760/48750]	Loss: 1.1753	LR: 0.100000
Training Epoch: 2 [22016/48750]	Loss: 1.0910	LR: 0.100000
Training Epoch: 2 [22272/48750]	Loss: 1.1273	LR: 0.100000
Training Epoch: 2 [22528/48750]	Loss: 1.0371	LR: 0.100000
Training Epoch: 2 [22784/48750]	Loss: 1.2499	LR: 0.100000
Training Epoch: 2 [23040/48750]	Loss: 1.1801	LR: 0.100000
Training Epoch: 2 [23296/48750]	Loss: 1.0969	LR: 0.100000
Training Epoch: 2 [23552/48750]	Loss: 1.2709	LR: 0.100000
Training Epoch: 2 [23808/48750]	Loss: 1.2252	LR: 0.100000
Training Epoch: 2 [24064/48750]	Loss: 1.2283	LR: 0.100000
Training Epoch: 2 [24320/48750]	Loss: 1.1591	LR: 0.100000
Training Epoch: 2 [24576/48750]	Loss: 1.2322	LR: 0.100000
Training Epoch: 2 [24832/48750]	Loss: 1.1561	LR: 0.100000
Training Epoch: 2 [25088/48750]	Loss: 1.2018	LR: 0.100000
Training Epoch: 2 [25344/48750]	Loss: 1.2033	LR: 0.100000
Training Epoch: 2 [25600/48750]	Loss: 1.2249	LR: 0.100000
Training Epoch: 2 [25856/48750]	Loss: 1.0495	LR: 0.100000
Training Epoch: 2 [26112/48750]	Loss: 1.0995	LR: 0.100000
Training Epoch: 2 [26368/48750]	Loss: 1.2194	LR: 0.100000
Training Epoch: 2 [26624/48750]	Loss: 1.1698	LR: 0.100000
Training Epoch: 2 [26880/48750]	Loss: 1.2997	LR: 0.100000
Training Epoch: 2 [27136/48750]	Loss: 0.9544	LR: 0.100000
Training Epoch: 2 [27392/48750]	Loss: 1.1519	LR: 0.100000
Training Epoch: 2 [27648/48750]	Loss: 1.1250	LR: 0.100000
Training Epoch: 2 [27904/48750]	Loss: 1.1197	LR: 0.100000
Training Epoch: 2 [28160/48750]	Loss: 1.2194	LR: 0.100000
Training Epoch: 2 [28416/48750]	Loss: 1.1496	LR: 0.100000
Training Epoch: 2 [28672/48750]	Loss: 1.0365	LR: 0.100000
Training Epoch: 2 [28928/48750]	Loss: 1.1366	LR: 0.100000
Training Epoch: 2 [29184/48750]	Loss: 1.2015	LR: 0.100000
Training Epoch: 2 [29440/48750]	Loss: 1.0269	LR: 0.100000
Training Epoch: 2 [29696/48750]	Loss: 1.1324	LR: 0.100000
Training Epoch: 2 [29952/48750]	Loss: 1.2234	LR: 0.100000
Training Epoch: 2 [30208/48750]	Loss: 1.0738	LR: 0.100000
Training Epoch: 2 [30464/48750]	Loss: 1.1241	LR: 0.100000
Training Epoch: 2 [30720/48750]	Loss: 1.0784	LR: 0.100000
Training Epoch: 2 [30976/48750]	Loss: 1.2055	LR: 0.100000
Training Epoch: 2 [31232/48750]	Loss: 1.0573	LR: 0.100000
Training Epoch: 2 [31488/48750]	Loss: 1.1673	LR: 0.100000
Training Epoch: 2 [31744/48750]	Loss: 1.1972	LR: 0.100000
Training Epoch: 2 [32000/48750]	Loss: 1.1420	LR: 0.100000
Training Epoch: 2 [32256/48750]	Loss: 1.2190	LR: 0.100000
Training Epoch: 2 [32512/48750]	Loss: 1.0426	LR: 0.100000
Training Epoch: 2 [32768/48750]	Loss: 1.3662	LR: 0.100000
Training Epoch: 2 [33024/48750]	Loss: 1.1406	LR: 0.100000
Training Epoch: 2 [33280/48750]	Loss: 1.0390	LR: 0.100000
Training Epoch: 2 [33536/48750]	Loss: 1.1212	LR: 0.100000
Training Epoch: 2 [33792/48750]	Loss: 1.1729	LR: 0.100000
Training Epoch: 2 [34048/48750]	Loss: 1.1879	LR: 0.100000
Training Epoch: 2 [34304/48750]	Loss: 1.1680	LR: 0.100000
Training Epoch: 2 [34560/48750]	Loss: 1.1184	LR: 0.100000
Training Epoch: 2 [34816/48750]	Loss: 1.2735	LR: 0.100000
Training Epoch: 2 [35072/48750]	Loss: 1.0465	LR: 0.100000
Training Epoch: 2 [35328/48750]	Loss: 1.0376	LR: 0.100000
Training Epoch: 2 [35584/48750]	Loss: 1.1149	LR: 0.100000
Training Epoch: 2 [35840/48750]	Loss: 1.1145	LR: 0.100000
Training Epoch: 2 [36096/48750]	Loss: 1.0966	LR: 0.100000
Training Epoch: 2 [36352/48750]	Loss: 1.1826	LR: 0.100000
Training Epoch: 2 [36608/48750]	Loss: 1.0504	LR: 0.100000
Training Epoch: 2 [36864/48750]	Loss: 1.0696	LR: 0.100000
Training Epoch: 2 [37120/48750]	Loss: 1.1137	LR: 0.100000
Training Epoch: 2 [37376/48750]	Loss: 0.9426	LR: 0.100000
Training Epoch: 2 [37632/48750]	Loss: 1.0406	LR: 0.100000
Training Epoch: 2 [37888/48750]	Loss: 1.0623	LR: 0.100000
Training Epoch: 2 [38144/48750]	Loss: 1.0424	LR: 0.100000
Training Epoch: 2 [38400/48750]	Loss: 1.0586	LR: 0.100000
Training Epoch: 2 [38656/48750]	Loss: 1.0543	LR: 0.100000
Training Epoch: 2 [38912/48750]	Loss: 1.1067	LR: 0.100000
Training Epoch: 2 [39168/48750]	Loss: 1.1626	LR: 0.100000
Training Epoch: 2 [39424/48750]	Loss: 0.9526	LR: 0.100000
Training Epoch: 2 [39680/48750]	Loss: 0.9372	LR: 0.100000
Training Epoch: 2 [39936/48750]	Loss: 1.0022	LR: 0.100000
Training Epoch: 2 [40192/48750]	Loss: 1.1018	LR: 0.100000
Training Epoch: 2 [40448/48750]	Loss: 1.1770	LR: 0.100000
Training Epoch: 2 [40704/48750]	Loss: 1.0116	LR: 0.100000
Training Epoch: 2 [40960/48750]	Loss: 1.2170	LR: 0.100000
Training Epoch: 2 [41216/48750]	Loss: 1.1590	LR: 0.100000
Training Epoch: 2 [41472/48750]	Loss: 1.1261	LR: 0.100000
Training Epoch: 2 [41728/48750]	Loss: 1.0431	LR: 0.100000
Training Epoch: 2 [41984/48750]	Loss: 1.2798	LR: 0.100000
Training Epoch: 2 [42240/48750]	Loss: 1.2561	LR: 0.100000
Training Epoch: 2 [42496/48750]	Loss: 1.0605	LR: 0.100000
Training Epoch: 2 [42752/48750]	Loss: 1.0376	LR: 0.100000
Training Epoch: 2 [43008/48750]	Loss: 1.2030	LR: 0.100000
Training Epoch: 2 [43264/48750]	Loss: 1.0566	LR: 0.100000
Training Epoch: 2 [43520/48750]	Loss: 1.0128	LR: 0.100000
Training Epoch: 2 [43776/48750]	Loss: 1.1388	LR: 0.100000
Training Epoch: 2 [44032/48750]	Loss: 1.0205	LR: 0.100000
Training Epoch: 2 [44288/48750]	Loss: 1.1801	LR: 0.100000
Training Epoch: 2 [44544/48750]	Loss: 1.1630	LR: 0.100000
Training Epoch: 2 [44800/48750]	Loss: 1.0356	LR: 0.100000
Training Epoch: 2 [45056/48750]	Loss: 1.0404	LR: 0.100000
Training Epoch: 2 [45312/48750]	Loss: 1.1848	LR: 0.100000
Training Epoch: 2 [45568/48750]	Loss: 1.1392	LR: 0.100000
Training Epoch: 2 [45824/48750]	Loss: 0.9200	LR: 0.100000
Training Epoch: 2 [46080/48750]	Loss: 0.8899	LR: 0.100000
Training Epoch: 2 [46336/48750]	Loss: 1.1031	LR: 0.100000
Training Epoch: 2 [46592/48750]	Loss: 1.0900	LR: 0.100000
Training Epoch: 2 [46848/48750]	Loss: 1.1412	LR: 0.100000
Training Epoch: 2 [47104/48750]	Loss: 1.0670	LR: 0.100000
Training Epoch: 2 [47360/48750]	Loss: 1.0869	LR: 0.100000
Training Epoch: 2 [47616/48750]	Loss: 1.0765	LR: 0.100000
Training Epoch: 2 [47872/48750]	Loss: 1.0662	LR: 0.100000
Training Epoch: 2 [48128/48750]	Loss: 1.1099	LR: 0.100000
Training Epoch: 2 [48384/48750]	Loss: 0.9529	LR: 0.100000
Training Epoch: 2 [48640/48750]	Loss: 1.0498	LR: 0.100000
Training Epoch: 2 [48750/48750]	Loss: 1.0674	LR: 0.100000
Epoch 2 - Average Train Loss: 1.2090, Train Accuracy: 0.5671
Epoch 2 training time consumed: 29.33s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0050, Accuracy: 0.5734, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_14h_23m_58s/ResNet18-Cifar10-seed1-ret75-2-best.pth
Training Epoch: 3 [256/48750]	Loss: 1.0796	LR: 0.100000
Training Epoch: 3 [512/48750]	Loss: 0.9860	LR: 0.100000
Training Epoch: 3 [768/48750]	Loss: 1.0794	LR: 0.100000
Training Epoch: 3 [1024/48750]	Loss: 1.0017	LR: 0.100000
Training Epoch: 3 [1280/48750]	Loss: 1.0728	LR: 0.100000
Training Epoch: 3 [1536/48750]	Loss: 0.9534	LR: 0.100000
Training Epoch: 3 [1792/48750]	Loss: 0.9706	LR: 0.100000
Training Epoch: 3 [2048/48750]	Loss: 1.0010	LR: 0.100000
Training Epoch: 3 [2304/48750]	Loss: 0.9905	LR: 0.100000
Training Epoch: 3 [2560/48750]	Loss: 0.9853	LR: 0.100000
Training Epoch: 3 [2816/48750]	Loss: 1.0913	LR: 0.100000
Training Epoch: 3 [3072/48750]	Loss: 1.1081	LR: 0.100000
Training Epoch: 3 [3328/48750]	Loss: 0.9066	LR: 0.100000
Training Epoch: 3 [3584/48750]	Loss: 0.9639	LR: 0.100000
Training Epoch: 3 [3840/48750]	Loss: 0.9433	LR: 0.100000
Training Epoch: 3 [4096/48750]	Loss: 0.9306	LR: 0.100000
Training Epoch: 3 [4352/48750]	Loss: 1.1159	LR: 0.100000
Training Epoch: 3 [4608/48750]	Loss: 1.0907	LR: 0.100000
Training Epoch: 3 [4864/48750]	Loss: 0.9883	LR: 0.100000
Training Epoch: 3 [5120/48750]	Loss: 1.0994	LR: 0.100000
Training Epoch: 3 [5376/48750]	Loss: 1.0037	LR: 0.100000
Training Epoch: 3 [5632/48750]	Loss: 1.0206	LR: 0.100000
Training Epoch: 3 [5888/48750]	Loss: 0.9331	LR: 0.100000
Training Epoch: 3 [6144/48750]	Loss: 0.8800	LR: 0.100000
Training Epoch: 3 [6400/48750]	Loss: 0.8887	LR: 0.100000
Training Epoch: 3 [6656/48750]	Loss: 0.9766	LR: 0.100000
Training Epoch: 3 [6912/48750]	Loss: 0.9790	LR: 0.100000
Training Epoch: 3 [7168/48750]	Loss: 1.1071	LR: 0.100000
Training Epoch: 3 [7424/48750]	Loss: 0.9976	LR: 0.100000
Training Epoch: 3 [7680/48750]	Loss: 1.0800	LR: 0.100000
Training Epoch: 3 [7936/48750]	Loss: 1.0889	LR: 0.100000
Training Epoch: 3 [8192/48750]	Loss: 0.9570	LR: 0.100000
Training Epoch: 3 [8448/48750]	Loss: 0.9196	LR: 0.100000
Training Epoch: 3 [8704/48750]	Loss: 1.0039	LR: 0.100000
Training Epoch: 3 [8960/48750]	Loss: 1.0018	LR: 0.100000
Training Epoch: 3 [9216/48750]	Loss: 1.0011	LR: 0.100000
Training Epoch: 3 [9472/48750]	Loss: 0.9974	LR: 0.100000
Training Epoch: 3 [9728/48750]	Loss: 0.9583	LR: 0.100000
Training Epoch: 3 [9984/48750]	Loss: 1.0065	LR: 0.100000
Training Epoch: 3 [10240/48750]	Loss: 0.8778	LR: 0.100000
Training Epoch: 3 [10496/48750]	Loss: 1.1448	LR: 0.100000
Training Epoch: 3 [10752/48750]	Loss: 0.9349	LR: 0.100000
Training Epoch: 3 [11008/48750]	Loss: 0.9137	LR: 0.100000
Training Epoch: 3 [11264/48750]	Loss: 0.9867	LR: 0.100000
Training Epoch: 3 [11520/48750]	Loss: 0.9927	LR: 0.100000
Training Epoch: 3 [11776/48750]	Loss: 0.9800	LR: 0.100000
Training Epoch: 3 [12032/48750]	Loss: 0.9402	LR: 0.100000
Training Epoch: 3 [12288/48750]	Loss: 1.0042	LR: 0.100000
Training Epoch: 3 [12544/48750]	Loss: 0.9311	LR: 0.100000
Training Epoch: 3 [12800/48750]	Loss: 0.9473	LR: 0.100000
Training Epoch: 3 [13056/48750]	Loss: 0.8574	LR: 0.100000
Training Epoch: 3 [13312/48750]	Loss: 0.9543	LR: 0.100000
Training Epoch: 3 [13568/48750]	Loss: 0.9676	LR: 0.100000
Training Epoch: 3 [13824/48750]	Loss: 0.9270	LR: 0.100000
Training Epoch: 3 [14080/48750]	Loss: 0.9831	LR: 0.100000
Training Epoch: 3 [14336/48750]	Loss: 0.9010	LR: 0.100000
Training Epoch: 3 [14592/48750]	Loss: 0.8747	LR: 0.100000
Training Epoch: 3 [14848/48750]	Loss: 1.0884	LR: 0.100000
Training Epoch: 3 [15104/48750]	Loss: 0.9938	LR: 0.100000
Training Epoch: 3 [15360/48750]	Loss: 0.9769	LR: 0.100000
Training Epoch: 3 [15616/48750]	Loss: 0.9201	LR: 0.100000
Training Epoch: 3 [15872/48750]	Loss: 0.9180	LR: 0.100000
Training Epoch: 3 [16128/48750]	Loss: 0.9326	LR: 0.100000
Training Epoch: 3 [16384/48750]	Loss: 1.0908	LR: 0.100000
Training Epoch: 3 [16640/48750]	Loss: 0.8953	LR: 0.100000
Training Epoch: 3 [16896/48750]	Loss: 1.0894	LR: 0.100000
Training Epoch: 3 [17152/48750]	Loss: 0.9747	LR: 0.100000
Training Epoch: 3 [17408/48750]	Loss: 1.1224	LR: 0.100000
Training Epoch: 3 [17664/48750]	Loss: 0.9211	LR: 0.100000
Training Epoch: 3 [17920/48750]	Loss: 1.0917	LR: 0.100000
Training Epoch: 3 [18176/48750]	Loss: 1.0317	LR: 0.100000
Training Epoch: 3 [18432/48750]	Loss: 1.0239	LR: 0.100000
Training Epoch: 3 [18688/48750]	Loss: 0.8971	LR: 0.100000
Training Epoch: 3 [18944/48750]	Loss: 1.0141	LR: 0.100000
Training Epoch: 3 [19200/48750]	Loss: 0.8876	LR: 0.100000
Training Epoch: 3 [19456/48750]	Loss: 0.8145	LR: 0.100000
Training Epoch: 3 [19712/48750]	Loss: 1.0086	LR: 0.100000
Training Epoch: 3 [19968/48750]	Loss: 1.0142	LR: 0.100000
Training Epoch: 3 [20224/48750]	Loss: 0.9440	LR: 0.100000
Training Epoch: 3 [20480/48750]	Loss: 1.0365	LR: 0.100000
Training Epoch: 3 [20736/48750]	Loss: 0.8993	LR: 0.100000
Training Epoch: 3 [20992/48750]	Loss: 0.8121	LR: 0.100000
Training Epoch: 3 [21248/48750]	Loss: 0.9860	LR: 0.100000
Training Epoch: 3 [21504/48750]	Loss: 1.0093	LR: 0.100000
Training Epoch: 3 [21760/48750]	Loss: 0.9507	LR: 0.100000
Training Epoch: 3 [22016/48750]	Loss: 0.9325	LR: 0.100000
Training Epoch: 3 [22272/48750]	Loss: 0.9947	LR: 0.100000
Training Epoch: 3 [22528/48750]	Loss: 1.0004	LR: 0.100000
Training Epoch: 3 [22784/48750]	Loss: 0.8971	LR: 0.100000
Training Epoch: 3 [23040/48750]	Loss: 0.9898	LR: 0.100000
Training Epoch: 3 [23296/48750]	Loss: 0.9137	LR: 0.100000
Training Epoch: 3 [23552/48750]	Loss: 0.8717	LR: 0.100000
Training Epoch: 3 [23808/48750]	Loss: 0.8911	LR: 0.100000
Training Epoch: 3 [24064/48750]	Loss: 0.9077	LR: 0.100000
Training Epoch: 3 [24320/48750]	Loss: 0.8818	LR: 0.100000
Training Epoch: 3 [24576/48750]	Loss: 0.9890	LR: 0.100000
Training Epoch: 3 [24832/48750]	Loss: 0.9924	LR: 0.100000
Training Epoch: 3 [25088/48750]	Loss: 0.9453	LR: 0.100000
Training Epoch: 3 [25344/48750]	Loss: 0.9495	LR: 0.100000
Training Epoch: 3 [25600/48750]	Loss: 0.9530	LR: 0.100000
Training Epoch: 3 [25856/48750]	Loss: 0.7597	LR: 0.100000
Training Epoch: 3 [26112/48750]	Loss: 0.8255	LR: 0.100000
Training Epoch: 3 [26368/48750]	Loss: 0.8827	LR: 0.100000
Training Epoch: 3 [26624/48750]	Loss: 0.9647	LR: 0.100000
Training Epoch: 3 [26880/48750]	Loss: 0.9896	LR: 0.100000
Training Epoch: 3 [27136/48750]	Loss: 0.8399	LR: 0.100000
Training Epoch: 3 [27392/48750]	Loss: 1.0431	LR: 0.100000
Training Epoch: 3 [27648/48750]	Loss: 1.0949	LR: 0.100000
Training Epoch: 3 [27904/48750]	Loss: 0.8566	LR: 0.100000
Training Epoch: 3 [28160/48750]	Loss: 0.9746	LR: 0.100000
Training Epoch: 3 [28416/48750]	Loss: 0.8909	LR: 0.100000
Training Epoch: 3 [28672/48750]	Loss: 0.9242	LR: 0.100000
Training Epoch: 3 [28928/48750]	Loss: 0.9241	LR: 0.100000
Training Epoch: 3 [29184/48750]	Loss: 0.9076	LR: 0.100000
Training Epoch: 3 [29440/48750]	Loss: 0.9385	LR: 0.100000
Training Epoch: 3 [29696/48750]	Loss: 0.7754	LR: 0.100000
Training Epoch: 3 [29952/48750]	Loss: 0.8748	LR: 0.100000
Training Epoch: 3 [30208/48750]	Loss: 0.8287	LR: 0.100000
Training Epoch: 3 [30464/48750]	Loss: 0.9665	LR: 0.100000
Training Epoch: 3 [30720/48750]	Loss: 0.7737	LR: 0.100000
Training Epoch: 3 [30976/48750]	Loss: 0.8954	LR: 0.100000
Training Epoch: 3 [31232/48750]	Loss: 0.8782	LR: 0.100000
Training Epoch: 3 [31488/48750]	Loss: 0.8329	LR: 0.100000
Training Epoch: 3 [31744/48750]	Loss: 1.0034	LR: 0.100000
Training Epoch: 3 [32000/48750]	Loss: 0.9626	LR: 0.100000
Training Epoch: 3 [32256/48750]	Loss: 0.9230	LR: 0.100000
Training Epoch: 3 [32512/48750]	Loss: 0.8329	LR: 0.100000
Training Epoch: 3 [32768/48750]	Loss: 0.9912	LR: 0.100000
Training Epoch: 3 [33024/48750]	Loss: 0.9044	LR: 0.100000
Training Epoch: 3 [33280/48750]	Loss: 0.9231	LR: 0.100000
Training Epoch: 3 [33536/48750]	Loss: 0.9230	LR: 0.100000
Training Epoch: 3 [33792/48750]	Loss: 0.9219	LR: 0.100000
Training Epoch: 3 [34048/48750]	Loss: 1.0337	LR: 0.100000
Training Epoch: 3 [34304/48750]	Loss: 0.8686	LR: 0.100000
Training Epoch: 3 [34560/48750]	Loss: 1.0730	LR: 0.100000
Training Epoch: 3 [34816/48750]	Loss: 1.0197	LR: 0.100000
Training Epoch: 3 [35072/48750]	Loss: 0.9314	LR: 0.100000
Training Epoch: 3 [35328/48750]	Loss: 0.8123	LR: 0.100000
Training Epoch: 3 [35584/48750]	Loss: 0.8378	LR: 0.100000
Training Epoch: 3 [35840/48750]	Loss: 0.9879	LR: 0.100000
Training Epoch: 3 [36096/48750]	Loss: 0.9191	LR: 0.100000
Training Epoch: 3 [36352/48750]	Loss: 1.0291	LR: 0.100000
Training Epoch: 3 [36608/48750]	Loss: 0.7952	LR: 0.100000
Training Epoch: 3 [36864/48750]	Loss: 0.8656	LR: 0.100000
Training Epoch: 3 [37120/48750]	Loss: 0.9192	LR: 0.100000
Training Epoch: 3 [37376/48750]	Loss: 0.8603	LR: 0.100000
Training Epoch: 3 [37632/48750]	Loss: 0.7787	LR: 0.100000
Training Epoch: 3 [37888/48750]	Loss: 0.9359	LR: 0.100000
Training Epoch: 3 [38144/48750]	Loss: 0.8873	LR: 0.100000
Training Epoch: 3 [38400/48750]	Loss: 0.9135	LR: 0.100000
Training Epoch: 3 [38656/48750]	Loss: 0.9469	LR: 0.100000
Training Epoch: 3 [38912/48750]	Loss: 0.8376	LR: 0.100000
Training Epoch: 3 [39168/48750]	Loss: 0.7605	LR: 0.100000
Training Epoch: 3 [39424/48750]	Loss: 0.9226	LR: 0.100000
Training Epoch: 3 [39680/48750]	Loss: 0.9658	LR: 0.100000
Training Epoch: 3 [39936/48750]	Loss: 0.9191	LR: 0.100000
Training Epoch: 3 [40192/48750]	Loss: 0.7296	LR: 0.100000
Training Epoch: 3 [40448/48750]	Loss: 0.8811	LR: 0.100000
Training Epoch: 3 [40704/48750]	Loss: 0.7043	LR: 0.100000
Training Epoch: 3 [40960/48750]	Loss: 0.8605	LR: 0.100000
Training Epoch: 3 [41216/48750]	Loss: 0.8822	LR: 0.100000
Training Epoch: 3 [41472/48750]	Loss: 0.8932	LR: 0.100000
Training Epoch: 3 [41728/48750]	Loss: 0.8936	LR: 0.100000
Training Epoch: 3 [41984/48750]	Loss: 0.7928	LR: 0.100000
Training Epoch: 3 [42240/48750]	Loss: 0.8442	LR: 0.100000
Training Epoch: 3 [42496/48750]	Loss: 0.9242	LR: 0.100000
Training Epoch: 3 [42752/48750]	Loss: 0.8226	LR: 0.100000
Training Epoch: 3 [43008/48750]	Loss: 0.8762	LR: 0.100000
Training Epoch: 3 [43264/48750]	Loss: 0.8222	LR: 0.100000
Training Epoch: 3 [43520/48750]	Loss: 0.8879	LR: 0.100000
Training Epoch: 3 [43776/48750]	Loss: 0.8965	LR: 0.100000
Training Epoch: 3 [44032/48750]	Loss: 0.9186	LR: 0.100000
Training Epoch: 3 [44288/48750]	Loss: 0.8438	LR: 0.100000
Training Epoch: 3 [44544/48750]	Loss: 0.9066	LR: 0.100000
Training Epoch: 3 [44800/48750]	Loss: 0.9602	LR: 0.100000
Training Epoch: 3 [45056/48750]	Loss: 0.7753	LR: 0.100000
Training Epoch: 3 [45312/48750]	Loss: 0.8942	LR: 0.100000
Training Epoch: 3 [45568/48750]	Loss: 0.8007	LR: 0.100000
Training Epoch: 3 [45824/48750]	Loss: 0.8455	LR: 0.100000
Training Epoch: 3 [46080/48750]	Loss: 0.8650	LR: 0.100000
Training Epoch: 3 [46336/48750]	Loss: 0.8280	LR: 0.100000
Training Epoch: 3 [46592/48750]	Loss: 1.0182	LR: 0.100000
Training Epoch: 3 [46848/48750]	Loss: 0.8096	LR: 0.100000
Training Epoch: 3 [47104/48750]	Loss: 0.8913	LR: 0.100000
Training Epoch: 3 [47360/48750]	Loss: 0.9154	LR: 0.100000
Training Epoch: 3 [47616/48750]	Loss: 0.9328	LR: 0.100000
Training Epoch: 3 [47872/48750]	Loss: 0.9019	LR: 0.100000
Training Epoch: 3 [48128/48750]	Loss: 0.9127	LR: 0.100000
Training Epoch: 3 [48384/48750]	Loss: 0.8625	LR: 0.100000
Training Epoch: 3 [48640/48750]	Loss: 0.9811	LR: 0.100000
Training Epoch: 3 [48750/48750]	Loss: 0.8954	LR: 0.100000
Epoch 3 - Average Train Loss: 0.9376, Train Accuracy: 0.6697
Epoch 3 training time consumed: 29.21s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0045, Accuracy: 0.6127, Time consumed:0.85s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_14h_23m_58s/ResNet18-Cifar10-seed1-ret75-3-best.pth
Training Epoch: 4 [256/48750]	Loss: 0.9291	LR: 0.100000
Training Epoch: 4 [512/48750]	Loss: 1.0268	LR: 0.100000
Training Epoch: 4 [768/48750]	Loss: 0.9254	LR: 0.100000
Training Epoch: 4 [1024/48750]	Loss: 0.9313	LR: 0.100000
Training Epoch: 4 [1280/48750]	Loss: 0.8439	LR: 0.100000
Training Epoch: 4 [1536/48750]	Loss: 0.8001	LR: 0.100000
Training Epoch: 4 [1792/48750]	Loss: 0.8563	LR: 0.100000
Training Epoch: 4 [2048/48750]	Loss: 0.8006	LR: 0.100000
Training Epoch: 4 [2304/48750]	Loss: 0.8822	LR: 0.100000
Training Epoch: 4 [2560/48750]	Loss: 0.8659	LR: 0.100000
Training Epoch: 4 [2816/48750]	Loss: 0.7351	LR: 0.100000
Training Epoch: 4 [3072/48750]	Loss: 0.8122	LR: 0.100000
Training Epoch: 4 [3328/48750]	Loss: 0.7104	LR: 0.100000
Training Epoch: 4 [3584/48750]	Loss: 0.8349	LR: 0.100000
Training Epoch: 4 [3840/48750]	Loss: 0.8033	LR: 0.100000
Training Epoch: 4 [4096/48750]	Loss: 0.8297	LR: 0.100000
Training Epoch: 4 [4352/48750]	Loss: 0.7425	LR: 0.100000
Training Epoch: 4 [4608/48750]	Loss: 0.9208	LR: 0.100000
Training Epoch: 4 [4864/48750]	Loss: 0.7608	LR: 0.100000
Training Epoch: 4 [5120/48750]	Loss: 0.8487	LR: 0.100000
Training Epoch: 4 [5376/48750]	Loss: 0.8400	LR: 0.100000
Training Epoch: 4 [5632/48750]	Loss: 0.8624	LR: 0.100000
Training Epoch: 4 [5888/48750]	Loss: 0.8379	LR: 0.100000
Training Epoch: 4 [6144/48750]	Loss: 0.8294	LR: 0.100000
Training Epoch: 4 [6400/48750]	Loss: 0.9631	LR: 0.100000
Training Epoch: 4 [6656/48750]	Loss: 0.9269	LR: 0.100000
Training Epoch: 4 [6912/48750]	Loss: 0.9483	LR: 0.100000
Training Epoch: 4 [7168/48750]	Loss: 0.7966	LR: 0.100000
Training Epoch: 4 [7424/48750]	Loss: 0.8736	LR: 0.100000
Training Epoch: 4 [7680/48750]	Loss: 0.7859	LR: 0.100000
Training Epoch: 4 [7936/48750]	Loss: 0.8740	LR: 0.100000
Training Epoch: 4 [8192/48750]	Loss: 0.9059	LR: 0.100000
Training Epoch: 4 [8448/48750]	Loss: 0.8436	LR: 0.100000
Training Epoch: 4 [8704/48750]	Loss: 0.7483	LR: 0.100000
Training Epoch: 4 [8960/48750]	Loss: 0.7692	LR: 0.100000
Training Epoch: 4 [9216/48750]	Loss: 1.0053	LR: 0.100000
Training Epoch: 4 [9472/48750]	Loss: 0.7928	LR: 0.100000
Training Epoch: 4 [9728/48750]	Loss: 0.7658	LR: 0.100000
Training Epoch: 4 [9984/48750]	Loss: 0.9219	LR: 0.100000
Training Epoch: 4 [10240/48750]	Loss: 0.7103	LR: 0.100000
Training Epoch: 4 [10496/48750]	Loss: 0.8460	LR: 0.100000
Training Epoch: 4 [10752/48750]	Loss: 0.8647	LR: 0.100000
Training Epoch: 4 [11008/48750]	Loss: 0.8464	LR: 0.100000
Training Epoch: 4 [11264/48750]	Loss: 0.8151	LR: 0.100000
Training Epoch: 4 [11520/48750]	Loss: 0.7229	LR: 0.100000
Training Epoch: 4 [11776/48750]	Loss: 0.8738	LR: 0.100000
Training Epoch: 4 [12032/48750]	Loss: 0.8064	LR: 0.100000
Training Epoch: 4 [12288/48750]	Loss: 0.7937	LR: 0.100000
Training Epoch: 4 [12544/48750]	Loss: 0.7450	LR: 0.100000
Training Epoch: 4 [12800/48750]	Loss: 0.8462	LR: 0.100000
Training Epoch: 4 [13056/48750]	Loss: 0.8906	LR: 0.100000
Training Epoch: 4 [13312/48750]	Loss: 0.7067	LR: 0.100000
Training Epoch: 4 [13568/48750]	Loss: 0.8170	LR: 0.100000
Training Epoch: 4 [13824/48750]	Loss: 0.7488	LR: 0.100000
Training Epoch: 4 [14080/48750]	Loss: 0.8905	LR: 0.100000
Training Epoch: 4 [14336/48750]	Loss: 0.8856	LR: 0.100000
Training Epoch: 4 [14592/48750]	Loss: 0.8561	LR: 0.100000
Training Epoch: 4 [14848/48750]	Loss: 0.8938	LR: 0.100000
Training Epoch: 4 [15104/48750]	Loss: 0.8267	LR: 0.100000
Training Epoch: 4 [15360/48750]	Loss: 0.7990	LR: 0.100000
Training Epoch: 4 [15616/48750]	Loss: 0.7898	LR: 0.100000
Training Epoch: 4 [15872/48750]	Loss: 0.7457	LR: 0.100000
Training Epoch: 4 [16128/48750]	Loss: 0.8083	LR: 0.100000
Training Epoch: 4 [16384/48750]	Loss: 0.8476	LR: 0.100000
Training Epoch: 4 [16640/48750]	Loss: 0.8207	LR: 0.100000
Training Epoch: 4 [16896/48750]	Loss: 0.8865	LR: 0.100000
Training Epoch: 4 [17152/48750]	Loss: 0.7998	LR: 0.100000
Training Epoch: 4 [17408/48750]	Loss: 0.8709	LR: 0.100000
Training Epoch: 4 [17664/48750]	Loss: 0.8635	LR: 0.100000
Training Epoch: 4 [17920/48750]	Loss: 0.6887	LR: 0.100000
Training Epoch: 4 [18176/48750]	Loss: 0.8413	LR: 0.100000
Training Epoch: 4 [18432/48750]	Loss: 0.9185	LR: 0.100000
Training Epoch: 4 [18688/48750]	Loss: 0.7255	LR: 0.100000
Training Epoch: 4 [18944/48750]	Loss: 0.7850	LR: 0.100000
Training Epoch: 4 [19200/48750]	Loss: 0.8811	LR: 0.100000
Training Epoch: 4 [19456/48750]	Loss: 0.8466	LR: 0.100000
Training Epoch: 4 [19712/48750]	Loss: 0.7753	LR: 0.100000
Training Epoch: 4 [19968/48750]	Loss: 0.7970	LR: 0.100000
Training Epoch: 4 [20224/48750]	Loss: 0.7650	LR: 0.100000
Training Epoch: 4 [20480/48750]	Loss: 0.8557	LR: 0.100000
Training Epoch: 4 [20736/48750]	Loss: 0.7558	LR: 0.100000
Training Epoch: 4 [20992/48750]	Loss: 0.8877	LR: 0.100000
Training Epoch: 4 [21248/48750]	Loss: 0.9198	LR: 0.100000
Training Epoch: 4 [21504/48750]	Loss: 0.7694	LR: 0.100000
Training Epoch: 4 [21760/48750]	Loss: 0.7803	LR: 0.100000
Training Epoch: 4 [22016/48750]	Loss: 0.7805	LR: 0.100000
Training Epoch: 4 [22272/48750]	Loss: 0.8742	LR: 0.100000
Training Epoch: 4 [22528/48750]	Loss: 0.8363	LR: 0.100000
Training Epoch: 4 [22784/48750]	Loss: 0.7688	LR: 0.100000
Training Epoch: 4 [23040/48750]	Loss: 0.7816	LR: 0.100000
Training Epoch: 4 [23296/48750]	Loss: 0.8122	LR: 0.100000
Training Epoch: 4 [23552/48750]	Loss: 0.8582	LR: 0.100000
Training Epoch: 4 [23808/48750]	Loss: 0.7637	LR: 0.100000
Training Epoch: 4 [24064/48750]	Loss: 0.8939	LR: 0.100000
Training Epoch: 4 [24320/48750]	Loss: 0.9529	LR: 0.100000
Training Epoch: 4 [24576/48750]	Loss: 0.8555	LR: 0.100000
Training Epoch: 4 [24832/48750]	Loss: 0.8237	LR: 0.100000
Training Epoch: 4 [25088/48750]	Loss: 0.7224	LR: 0.100000
Training Epoch: 4 [25344/48750]	Loss: 0.7571	LR: 0.100000
Training Epoch: 4 [25600/48750]	Loss: 0.7568	LR: 0.100000
Training Epoch: 4 [25856/48750]	Loss: 0.9152	LR: 0.100000
Training Epoch: 4 [26112/48750]	Loss: 0.7990	LR: 0.100000
Training Epoch: 4 [26368/48750]	Loss: 0.7208	LR: 0.100000
Training Epoch: 4 [26624/48750]	Loss: 0.7317	LR: 0.100000
Training Epoch: 4 [26880/48750]	Loss: 0.7114	LR: 0.100000
Training Epoch: 4 [27136/48750]	Loss: 0.8106	LR: 0.100000
Training Epoch: 4 [27392/48750]	Loss: 0.8491	LR: 0.100000
Training Epoch: 4 [27648/48750]	Loss: 0.9358	LR: 0.100000
Training Epoch: 4 [27904/48750]	Loss: 0.7333	LR: 0.100000
Training Epoch: 4 [28160/48750]	Loss: 0.7429	LR: 0.100000
Training Epoch: 4 [28416/48750]	Loss: 0.7004	LR: 0.100000
Training Epoch: 4 [28672/48750]	Loss: 0.8323	LR: 0.100000
Training Epoch: 4 [28928/48750]	Loss: 0.7938	LR: 0.100000
Training Epoch: 4 [29184/48750]	Loss: 0.7146	LR: 0.100000
Training Epoch: 4 [29440/48750]	Loss: 0.7127	LR: 0.100000
Training Epoch: 4 [29696/48750]	Loss: 0.7992	LR: 0.100000
Training Epoch: 4 [29952/48750]	Loss: 0.9070	LR: 0.100000
Training Epoch: 4 [30208/48750]	Loss: 0.8118	LR: 0.100000
Training Epoch: 4 [30464/48750]	Loss: 0.7971	LR: 0.100000
Training Epoch: 4 [30720/48750]	Loss: 0.6991	LR: 0.100000
Training Epoch: 4 [30976/48750]	Loss: 0.7808	LR: 0.100000
Training Epoch: 4 [31232/48750]	Loss: 0.7651	LR: 0.100000
Training Epoch: 4 [31488/48750]	Loss: 0.7060	LR: 0.100000
Training Epoch: 4 [31744/48750]	Loss: 0.7922	LR: 0.100000
Training Epoch: 4 [32000/48750]	Loss: 0.7371	LR: 0.100000
Training Epoch: 4 [32256/48750]	Loss: 0.8710	LR: 0.100000
Training Epoch: 4 [32512/48750]	Loss: 0.6888	LR: 0.100000
Training Epoch: 4 [32768/48750]	Loss: 0.6611	LR: 0.100000
Training Epoch: 4 [33024/48750]	Loss: 0.7698	LR: 0.100000
Training Epoch: 4 [33280/48750]	Loss: 0.7211	LR: 0.100000
Training Epoch: 4 [33536/48750]	Loss: 0.8213	LR: 0.100000
Training Epoch: 4 [33792/48750]	Loss: 0.7799	LR: 0.100000
Training Epoch: 4 [34048/48750]	Loss: 0.8443	LR: 0.100000
Training Epoch: 4 [34304/48750]	Loss: 0.7698	LR: 0.100000
Training Epoch: 4 [34560/48750]	Loss: 0.7285	LR: 0.100000
Training Epoch: 4 [34816/48750]	Loss: 0.8133	LR: 0.100000
Training Epoch: 4 [35072/48750]	Loss: 0.7799	LR: 0.100000
Training Epoch: 4 [35328/48750]	Loss: 0.8281	LR: 0.100000
Training Epoch: 4 [35584/48750]	Loss: 0.8670	LR: 0.100000
Training Epoch: 4 [35840/48750]	Loss: 0.7371	LR: 0.100000
Training Epoch: 4 [36096/48750]	Loss: 0.6852	LR: 0.100000
Training Epoch: 4 [36352/48750]	Loss: 0.7112	LR: 0.100000
Training Epoch: 4 [36608/48750]	Loss: 0.6840	LR: 0.100000
Training Epoch: 4 [36864/48750]	Loss: 0.7568	LR: 0.100000
Training Epoch: 4 [37120/48750]	Loss: 0.8643	LR: 0.100000
Training Epoch: 4 [37376/48750]	Loss: 0.7485	LR: 0.100000
Training Epoch: 4 [37632/48750]	Loss: 0.8358	LR: 0.100000
Training Epoch: 4 [37888/48750]	Loss: 0.7118	LR: 0.100000
Training Epoch: 4 [38144/48750]	Loss: 0.8730	LR: 0.100000
Training Epoch: 4 [38400/48750]	Loss: 0.8036	LR: 0.100000
Training Epoch: 4 [38656/48750]	Loss: 0.9173	LR: 0.100000
Training Epoch: 4 [38912/48750]	Loss: 0.7448	LR: 0.100000
Training Epoch: 4 [39168/48750]	Loss: 0.7314	LR: 0.100000
Training Epoch: 4 [39424/48750]	Loss: 0.6553	LR: 0.100000
Training Epoch: 4 [39680/48750]	Loss: 0.8030	LR: 0.100000
Training Epoch: 4 [39936/48750]	Loss: 0.8111	LR: 0.100000
Training Epoch: 4 [40192/48750]	Loss: 0.8278	LR: 0.100000
Training Epoch: 4 [40448/48750]	Loss: 0.7680	LR: 0.100000
Training Epoch: 4 [40704/48750]	Loss: 0.7188	LR: 0.100000
Training Epoch: 4 [40960/48750]	Loss: 0.8609	LR: 0.100000
Training Epoch: 4 [41216/48750]	Loss: 0.7205	LR: 0.100000
Training Epoch: 4 [41472/48750]	Loss: 0.8131	LR: 0.100000
Training Epoch: 4 [41728/48750]	Loss: 0.8182	LR: 0.100000
Training Epoch: 4 [41984/48750]	Loss: 0.8173	LR: 0.100000
Training Epoch: 4 [42240/48750]	Loss: 0.7222	LR: 0.100000
Training Epoch: 4 [42496/48750]	Loss: 0.7167	LR: 0.100000
Training Epoch: 4 [42752/48750]	Loss: 0.6870	LR: 0.100000
Training Epoch: 4 [43008/48750]	Loss: 0.7467	LR: 0.100000
Training Epoch: 4 [43264/48750]	Loss: 0.8286	LR: 0.100000
Training Epoch: 4 [43520/48750]	Loss: 0.8364	LR: 0.100000
Training Epoch: 4 [43776/48750]	Loss: 0.7481	LR: 0.100000
Training Epoch: 4 [44032/48750]	Loss: 0.7396	LR: 0.100000
Training Epoch: 4 [44288/48750]	Loss: 0.7853	LR: 0.100000
Training Epoch: 4 [44544/48750]	Loss: 0.7028	LR: 0.100000
Training Epoch: 4 [44800/48750]	Loss: 0.7697	LR: 0.100000
Training Epoch: 4 [45056/48750]	Loss: 0.8727	LR: 0.100000
Training Epoch: 4 [45312/48750]	Loss: 0.7019	LR: 0.100000
Training Epoch: 4 [45568/48750]	Loss: 0.6405	LR: 0.100000
Training Epoch: 4 [45824/48750]	Loss: 0.7913	LR: 0.100000
Training Epoch: 4 [46080/48750]	Loss: 0.8030	LR: 0.100000
Training Epoch: 4 [46336/48750]	Loss: 0.8767	LR: 0.100000
Training Epoch: 4 [46592/48750]	Loss: 0.7472	LR: 0.100000
Training Epoch: 4 [46848/48750]	Loss: 0.6991	LR: 0.100000
Training Epoch: 4 [47104/48750]	Loss: 0.6813	LR: 0.100000
Training Epoch: 4 [47360/48750]	Loss: 0.7593	LR: 0.100000
Training Epoch: 4 [47616/48750]	Loss: 0.7298	LR: 0.100000
Training Epoch: 4 [47872/48750]	Loss: 0.8669	LR: 0.100000
Training Epoch: 4 [48128/48750]	Loss: 0.6626	LR: 0.100000
Training Epoch: 4 [48384/48750]	Loss: 0.8054	LR: 0.100000
Training Epoch: 4 [48640/48750]	Loss: 0.7722	LR: 0.100000
Training Epoch: 4 [48750/48750]	Loss: 0.7587	LR: 0.100000
Epoch 4 - Average Train Loss: 0.8028, Train Accuracy: 0.7170
Epoch 4 training time consumed: 29.13s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0031, Accuracy: 0.7322, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_14h_23m_58s/ResNet18-Cifar10-seed1-ret75-4-best.pth
Training Epoch: 5 [256/48750]	Loss: 0.6825	LR: 0.100000
Training Epoch: 5 [512/48750]	Loss: 0.7465	LR: 0.100000
Training Epoch: 5 [768/48750]	Loss: 0.6459	LR: 0.100000
Training Epoch: 5 [1024/48750]	Loss: 0.7599	LR: 0.100000
Training Epoch: 5 [1280/48750]	Loss: 0.7536	LR: 0.100000
Training Epoch: 5 [1536/48750]	Loss: 0.7893	LR: 0.100000
Training Epoch: 5 [1792/48750]	Loss: 0.7757	LR: 0.100000
Training Epoch: 5 [2048/48750]	Loss: 0.7587	LR: 0.100000
Training Epoch: 5 [2304/48750]	Loss: 0.7379	LR: 0.100000
Training Epoch: 5 [2560/48750]	Loss: 0.6953	LR: 0.100000
Training Epoch: 5 [2816/48750]	Loss: 0.6293	LR: 0.100000
Training Epoch: 5 [3072/48750]	Loss: 0.8281	LR: 0.100000
Training Epoch: 5 [3328/48750]	Loss: 0.6928	LR: 0.100000
Training Epoch: 5 [3584/48750]	Loss: 0.6710	LR: 0.100000
Training Epoch: 5 [3840/48750]	Loss: 0.8529	LR: 0.100000
Training Epoch: 5 [4096/48750]	Loss: 0.8357	LR: 0.100000
Training Epoch: 5 [4352/48750]	Loss: 0.8896	LR: 0.100000
Training Epoch: 5 [4608/48750]	Loss: 0.7435	LR: 0.100000
Training Epoch: 5 [4864/48750]	Loss: 0.7118	LR: 0.100000
Training Epoch: 5 [5120/48750]	Loss: 0.7234	LR: 0.100000
Training Epoch: 5 [5376/48750]	Loss: 0.8257	LR: 0.100000
Training Epoch: 5 [5632/48750]	Loss: 0.7377	LR: 0.100000
Training Epoch: 5 [5888/48750]	Loss: 0.7409	LR: 0.100000
Training Epoch: 5 [6144/48750]	Loss: 0.7584	LR: 0.100000
Training Epoch: 5 [6400/48750]	Loss: 0.7046	LR: 0.100000
Training Epoch: 5 [6656/48750]	Loss: 0.6789	LR: 0.100000
Training Epoch: 5 [6912/48750]	Loss: 0.7185	LR: 0.100000
Training Epoch: 5 [7168/48750]	Loss: 0.7033	LR: 0.100000
Training Epoch: 5 [7424/48750]	Loss: 0.7100	LR: 0.100000
Training Epoch: 5 [7680/48750]	Loss: 0.7227	LR: 0.100000
Training Epoch: 5 [7936/48750]	Loss: 0.7121	LR: 0.100000
Training Epoch: 5 [8192/48750]	Loss: 0.7078	LR: 0.100000
Training Epoch: 5 [8448/48750]	Loss: 0.6763	LR: 0.100000
Training Epoch: 5 [8704/48750]	Loss: 0.6679	LR: 0.100000
Training Epoch: 5 [8960/48750]	Loss: 0.7016	LR: 0.100000
Training Epoch: 5 [9216/48750]	Loss: 0.5543	LR: 0.100000
Training Epoch: 5 [9472/48750]	Loss: 0.7088	LR: 0.100000
Training Epoch: 5 [9728/48750]	Loss: 0.8423	LR: 0.100000
Training Epoch: 5 [9984/48750]	Loss: 0.7349	LR: 0.100000
Training Epoch: 5 [10240/48750]	Loss: 0.6408	LR: 0.100000
Training Epoch: 5 [10496/48750]	Loss: 0.7162	LR: 0.100000
Training Epoch: 5 [10752/48750]	Loss: 0.6891	LR: 0.100000
Training Epoch: 5 [11008/48750]	Loss: 0.7075	LR: 0.100000
Training Epoch: 5 [11264/48750]	Loss: 0.5841	LR: 0.100000
Training Epoch: 5 [11520/48750]	Loss: 0.6997	LR: 0.100000
Training Epoch: 5 [11776/48750]	Loss: 0.6282	LR: 0.100000
Training Epoch: 5 [12032/48750]	Loss: 0.6429	LR: 0.100000
Training Epoch: 5 [12288/48750]	Loss: 0.8046	LR: 0.100000
Training Epoch: 5 [12544/48750]	Loss: 0.6744	LR: 0.100000
Training Epoch: 5 [12800/48750]	Loss: 0.6487	LR: 0.100000
Training Epoch: 5 [13056/48750]	Loss: 0.7707	LR: 0.100000
Training Epoch: 5 [13312/48750]	Loss: 0.7005	LR: 0.100000
Training Epoch: 5 [13568/48750]	Loss: 0.6014	LR: 0.100000
Training Epoch: 5 [13824/48750]	Loss: 0.7729	LR: 0.100000
Training Epoch: 5 [14080/48750]	Loss: 0.6539	LR: 0.100000
Training Epoch: 5 [14336/48750]	Loss: 0.6925	LR: 0.100000
Training Epoch: 5 [14592/48750]	Loss: 0.7075	LR: 0.100000
Training Epoch: 5 [14848/48750]	Loss: 0.6282	LR: 0.100000
Training Epoch: 5 [15104/48750]	Loss: 0.5963	LR: 0.100000
Training Epoch: 5 [15360/48750]	Loss: 0.6737	LR: 0.100000
Training Epoch: 5 [15616/48750]	Loss: 0.6950	LR: 0.100000
Training Epoch: 5 [15872/48750]	Loss: 0.7331	LR: 0.100000
Training Epoch: 5 [16128/48750]	Loss: 0.7340	LR: 0.100000
Training Epoch: 5 [16384/48750]	Loss: 0.8695	LR: 0.100000
Training Epoch: 5 [16640/48750]	Loss: 0.7036	LR: 0.100000
Training Epoch: 5 [16896/48750]	Loss: 0.7653	LR: 0.100000
Training Epoch: 5 [17152/48750]	Loss: 0.8493	LR: 0.100000
Training Epoch: 5 [17408/48750]	Loss: 0.7803	LR: 0.100000
Training Epoch: 5 [17664/48750]	Loss: 0.6373	LR: 0.100000
Training Epoch: 5 [17920/48750]	Loss: 0.7034	LR: 0.100000
Training Epoch: 5 [18176/48750]	Loss: 0.6748	LR: 0.100000
Training Epoch: 5 [18432/48750]	Loss: 0.6898	LR: 0.100000
Training Epoch: 5 [18688/48750]	Loss: 0.7519	LR: 0.100000
Training Epoch: 5 [18944/48750]	Loss: 0.6307	LR: 0.100000
Training Epoch: 5 [19200/48750]	Loss: 0.7041	LR: 0.100000
Training Epoch: 5 [19456/48750]	Loss: 0.6984	LR: 0.100000
Training Epoch: 5 [19712/48750]	Loss: 0.6596	LR: 0.100000
Training Epoch: 5 [19968/48750]	Loss: 0.6479	LR: 0.100000
Training Epoch: 5 [20224/48750]	Loss: 0.6760	LR: 0.100000
Training Epoch: 5 [20480/48750]	Loss: 0.6132	LR: 0.100000
Training Epoch: 5 [20736/48750]	Loss: 0.7591	LR: 0.100000
Training Epoch: 5 [20992/48750]	Loss: 0.6982	LR: 0.100000
Training Epoch: 5 [21248/48750]	Loss: 0.6065	LR: 0.100000
Training Epoch: 5 [21504/48750]	Loss: 0.6641	LR: 0.100000
Training Epoch: 5 [21760/48750]	Loss: 0.6701	LR: 0.100000
Training Epoch: 5 [22016/48750]	Loss: 0.5573	LR: 0.100000
Training Epoch: 5 [22272/48750]	Loss: 0.7571	LR: 0.100000
Training Epoch: 5 [22528/48750]	Loss: 0.7414	LR: 0.100000
Training Epoch: 5 [22784/48750]	Loss: 0.6059	LR: 0.100000
Training Epoch: 5 [23040/48750]	Loss: 0.8483	LR: 0.100000
Training Epoch: 5 [23296/48750]	Loss: 0.6729	LR: 0.100000
Training Epoch: 5 [23552/48750]	Loss: 0.6996	LR: 0.100000
Training Epoch: 5 [23808/48750]	Loss: 0.7508	LR: 0.100000
Training Epoch: 5 [24064/48750]	Loss: 0.6940	LR: 0.100000
Training Epoch: 5 [24320/48750]	Loss: 0.7734	LR: 0.100000
Training Epoch: 5 [24576/48750]	Loss: 0.7593	LR: 0.100000
Training Epoch: 5 [24832/48750]	Loss: 0.7951	LR: 0.100000
Training Epoch: 5 [25088/48750]	Loss: 0.7208	LR: 0.100000
Training Epoch: 5 [25344/48750]	Loss: 0.5951	LR: 0.100000
Training Epoch: 5 [25600/48750]	Loss: 0.6537	LR: 0.100000
Training Epoch: 5 [25856/48750]	Loss: 0.6635	LR: 0.100000
Training Epoch: 5 [26112/48750]	Loss: 0.6344	LR: 0.100000
Training Epoch: 5 [26368/48750]	Loss: 0.7472	LR: 0.100000
Training Epoch: 5 [26624/48750]	Loss: 0.6954	LR: 0.100000
Training Epoch: 5 [26880/48750]	Loss: 0.8436	LR: 0.100000
Training Epoch: 5 [27136/48750]	Loss: 0.7767	LR: 0.100000
Training Epoch: 5 [27392/48750]	Loss: 0.7630	LR: 0.100000
Training Epoch: 5 [27648/48750]	Loss: 0.7567	LR: 0.100000
Training Epoch: 5 [27904/48750]	Loss: 0.8061	LR: 0.100000
Training Epoch: 5 [28160/48750]	Loss: 0.8826	LR: 0.100000
Training Epoch: 5 [28416/48750]	Loss: 0.8085	LR: 0.100000
Training Epoch: 5 [28672/48750]	Loss: 0.7178	LR: 0.100000
Training Epoch: 5 [28928/48750]	Loss: 0.7179	LR: 0.100000
Training Epoch: 5 [29184/48750]	Loss: 0.6638	LR: 0.100000
Training Epoch: 5 [29440/48750]	Loss: 0.7798	LR: 0.100000
Training Epoch: 5 [29696/48750]	Loss: 0.6952	LR: 0.100000
Training Epoch: 5 [29952/48750]	Loss: 0.7388	LR: 0.100000
Training Epoch: 5 [30208/48750]	Loss: 0.7703	LR: 0.100000
Training Epoch: 5 [30464/48750]	Loss: 0.7253	LR: 0.100000
Training Epoch: 5 [30720/48750]	Loss: 0.6689	LR: 0.100000
Training Epoch: 5 [30976/48750]	Loss: 0.6603	LR: 0.100000
Training Epoch: 5 [31232/48750]	Loss: 0.6278	LR: 0.100000
Training Epoch: 5 [31488/48750]	Loss: 0.7531	LR: 0.100000
Training Epoch: 5 [31744/48750]	Loss: 0.7432	LR: 0.100000
Training Epoch: 5 [32000/48750]	Loss: 0.6906	LR: 0.100000
Training Epoch: 5 [32256/48750]	Loss: 0.6813	LR: 0.100000
Training Epoch: 5 [32512/48750]	Loss: 0.6506	LR: 0.100000
Training Epoch: 5 [32768/48750]	Loss: 0.7434	LR: 0.100000
Training Epoch: 5 [33024/48750]	Loss: 0.7383	LR: 0.100000
Training Epoch: 5 [33280/48750]	Loss: 0.6429	LR: 0.100000
Training Epoch: 5 [33536/48750]	Loss: 0.6842	LR: 0.100000
Training Epoch: 5 [33792/48750]	Loss: 0.7481	LR: 0.100000
Training Epoch: 5 [34048/48750]	Loss: 0.7459	LR: 0.100000
Training Epoch: 5 [34304/48750]	Loss: 0.7580	LR: 0.100000
Training Epoch: 5 [34560/48750]	Loss: 0.7733	LR: 0.100000
Training Epoch: 5 [34816/48750]	Loss: 0.7299	LR: 0.100000
Training Epoch: 5 [35072/48750]	Loss: 0.5863	LR: 0.100000
Training Epoch: 5 [35328/48750]	Loss: 0.6576	LR: 0.100000
Training Epoch: 5 [35584/48750]	Loss: 0.6796	LR: 0.100000
Training Epoch: 5 [35840/48750]	Loss: 0.6145	LR: 0.100000
Training Epoch: 5 [36096/48750]	Loss: 0.6292	LR: 0.100000
Training Epoch: 5 [36352/48750]	Loss: 0.8439	LR: 0.100000
Training Epoch: 5 [36608/48750]	Loss: 0.6782	LR: 0.100000
Training Epoch: 5 [36864/48750]	Loss: 0.5965	LR: 0.100000
Training Epoch: 5 [37120/48750]	Loss: 0.6485	LR: 0.100000
Training Epoch: 5 [37376/48750]	Loss: 0.6673	LR: 0.100000
Training Epoch: 5 [37632/48750]	Loss: 0.8650	LR: 0.100000
Training Epoch: 5 [37888/48750]	Loss: 0.7509	LR: 0.100000
Training Epoch: 5 [38144/48750]	Loss: 0.6882	LR: 0.100000
Training Epoch: 5 [38400/48750]	Loss: 0.6528	LR: 0.100000
Training Epoch: 5 [38656/48750]	Loss: 0.6984	LR: 0.100000
Training Epoch: 5 [38912/48750]	Loss: 0.8739	LR: 0.100000
Training Epoch: 5 [39168/48750]	Loss: 0.6128	LR: 0.100000
Training Epoch: 5 [39424/48750]	Loss: 0.6524	LR: 0.100000
Training Epoch: 5 [39680/48750]	Loss: 0.7647	LR: 0.100000
Training Epoch: 5 [39936/48750]	Loss: 0.6784	LR: 0.100000
Training Epoch: 5 [40192/48750]	Loss: 0.6623	LR: 0.100000
Training Epoch: 5 [40448/48750]	Loss: 0.7145	LR: 0.100000
Training Epoch: 5 [40704/48750]	Loss: 0.6970	LR: 0.100000
Training Epoch: 5 [40960/48750]	Loss: 0.7832	LR: 0.100000
Training Epoch: 5 [41216/48750]	Loss: 0.8125	LR: 0.100000
Training Epoch: 5 [41472/48750]	Loss: 0.7267	LR: 0.100000
Training Epoch: 5 [41728/48750]	Loss: 0.7136	LR: 0.100000
Training Epoch: 5 [41984/48750]	Loss: 0.6840	LR: 0.100000
Training Epoch: 5 [42240/48750]	Loss: 0.6737	LR: 0.100000
Training Epoch: 5 [42496/48750]	Loss: 0.7858	LR: 0.100000
Training Epoch: 5 [42752/48750]	Loss: 0.7747	LR: 0.100000
Training Epoch: 5 [43008/48750]	Loss: 0.8019	LR: 0.100000
Training Epoch: 5 [43264/48750]	Loss: 0.7065	LR: 0.100000
Training Epoch: 5 [43520/48750]	Loss: 0.7789	LR: 0.100000
Training Epoch: 5 [43776/48750]	Loss: 0.7631	LR: 0.100000
Training Epoch: 5 [44032/48750]	Loss: 0.6791	LR: 0.100000
Training Epoch: 5 [44288/48750]	Loss: 0.8342	LR: 0.100000
Training Epoch: 5 [44544/48750]	Loss: 0.7430	LR: 0.100000
Training Epoch: 5 [44800/48750]	Loss: 0.6478	LR: 0.100000
Training Epoch: 5 [45056/48750]	Loss: 0.7445	LR: 0.100000
Training Epoch: 5 [45312/48750]	Loss: 0.6608	LR: 0.100000
Training Epoch: 5 [45568/48750]	Loss: 0.6850	LR: 0.100000
Training Epoch: 5 [45824/48750]	Loss: 0.6335	LR: 0.100000
Training Epoch: 5 [46080/48750]	Loss: 0.6606	LR: 0.100000
Training Epoch: 5 [46336/48750]	Loss: 0.6596	LR: 0.100000
Training Epoch: 5 [46592/48750]	Loss: 0.5824	LR: 0.100000
Training Epoch: 5 [46848/48750]	Loss: 0.6913	LR: 0.100000
Training Epoch: 5 [47104/48750]	Loss: 0.5418	LR: 0.100000
Training Epoch: 5 [47360/48750]	Loss: 0.6330	LR: 0.100000
Training Epoch: 5 [47616/48750]	Loss: 0.8056	LR: 0.100000
Training Epoch: 5 [47872/48750]	Loss: 0.6712	LR: 0.100000
Training Epoch: 5 [48128/48750]	Loss: 0.6566	LR: 0.100000
Training Epoch: 5 [48384/48750]	Loss: 0.6599	LR: 0.100000
Training Epoch: 5 [48640/48750]	Loss: 0.5745	LR: 0.100000
Training Epoch: 5 [48750/48750]	Loss: 0.7503	LR: 0.100000
Epoch 5 - Average Train Loss: 0.7102, Train Accuracy: 0.7515
Epoch 5 training time consumed: 29.25s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0034, Accuracy: 0.7177, Time consumed:0.85s
Training Epoch: 6 [256/48750]	Loss: 0.5779	LR: 0.100000
Training Epoch: 6 [512/48750]	Loss: 0.7804	LR: 0.100000
Training Epoch: 6 [768/48750]	Loss: 0.7428	LR: 0.100000
Training Epoch: 6 [1024/48750]	Loss: 0.7089	LR: 0.100000
Training Epoch: 6 [1280/48750]	Loss: 0.5616	LR: 0.100000
Training Epoch: 6 [1536/48750]	Loss: 0.6780	LR: 0.100000
Training Epoch: 6 [1792/48750]	Loss: 0.6139	LR: 0.100000
Training Epoch: 6 [2048/48750]	Loss: 0.5965	LR: 0.100000
Training Epoch: 6 [2304/48750]	Loss: 0.7990	LR: 0.100000
Training Epoch: 6 [2560/48750]	Loss: 0.6921	LR: 0.100000
Training Epoch: 6 [2816/48750]	Loss: 0.6546	LR: 0.100000
Training Epoch: 6 [3072/48750]	Loss: 0.6329	LR: 0.100000
Training Epoch: 6 [3328/48750]	Loss: 0.7310	LR: 0.100000
Training Epoch: 6 [3584/48750]	Loss: 0.6201	LR: 0.100000
Training Epoch: 6 [3840/48750]	Loss: 0.7097	LR: 0.100000
Training Epoch: 6 [4096/48750]	Loss: 0.6027	LR: 0.100000
Training Epoch: 6 [4352/48750]	Loss: 0.6800	LR: 0.100000
Training Epoch: 6 [4608/48750]	Loss: 0.6038	LR: 0.100000
Training Epoch: 6 [4864/48750]	Loss: 0.6794	LR: 0.100000
Training Epoch: 6 [5120/48750]	Loss: 0.5630	LR: 0.100000
Training Epoch: 6 [5376/48750]	Loss: 0.7478	LR: 0.100000
Training Epoch: 6 [5632/48750]	Loss: 0.7155	LR: 0.100000
Training Epoch: 6 [5888/48750]	Loss: 0.5929	LR: 0.100000
Training Epoch: 6 [6144/48750]	Loss: 0.6104	LR: 0.100000
Training Epoch: 6 [6400/48750]	Loss: 0.6929	LR: 0.100000
Training Epoch: 6 [6656/48750]	Loss: 0.5524	LR: 0.100000
Training Epoch: 6 [6912/48750]	Loss: 0.6448	LR: 0.100000
Training Epoch: 6 [7168/48750]	Loss: 0.6236	LR: 0.100000
Training Epoch: 6 [7424/48750]	Loss: 0.6524	LR: 0.100000
Training Epoch: 6 [7680/48750]	Loss: 0.6554	LR: 0.100000
Training Epoch: 6 [7936/48750]	Loss: 0.5473	LR: 0.100000
Training Epoch: 6 [8192/48750]	Loss: 0.4407	LR: 0.100000
Training Epoch: 6 [8448/48750]	Loss: 0.5772	LR: 0.100000
Training Epoch: 6 [8704/48750]	Loss: 0.6558	LR: 0.100000
Training Epoch: 6 [8960/48750]	Loss: 0.6439	LR: 0.100000
Training Epoch: 6 [9216/48750]	Loss: 0.7068	LR: 0.100000
Training Epoch: 6 [9472/48750]	Loss: 0.6692	LR: 0.100000
Training Epoch: 6 [9728/48750]	Loss: 0.5881	LR: 0.100000
Training Epoch: 6 [9984/48750]	Loss: 0.5508	LR: 0.100000
Training Epoch: 6 [10240/48750]	Loss: 0.6168	LR: 0.100000
Training Epoch: 6 [10496/48750]	Loss: 0.7054	LR: 0.100000
Training Epoch: 6 [10752/48750]	Loss: 0.6301	LR: 0.100000
Training Epoch: 6 [11008/48750]	Loss: 0.6453	LR: 0.100000
Training Epoch: 6 [11264/48750]	Loss: 0.6076	LR: 0.100000
Training Epoch: 6 [11520/48750]	Loss: 0.5107	LR: 0.100000
Training Epoch: 6 [11776/48750]	Loss: 0.6749	LR: 0.100000
Training Epoch: 6 [12032/48750]	Loss: 0.6756	LR: 0.100000
Training Epoch: 6 [12288/48750]	Loss: 0.6389	LR: 0.100000
Training Epoch: 6 [12544/48750]	Loss: 0.6311	LR: 0.100000
Training Epoch: 6 [12800/48750]	Loss: 0.7252	LR: 0.100000
Training Epoch: 6 [13056/48750]	Loss: 0.6650	LR: 0.100000
Training Epoch: 6 [13312/48750]	Loss: 0.6113	LR: 0.100000
Training Epoch: 6 [13568/48750]	Loss: 0.6116	LR: 0.100000
Training Epoch: 6 [13824/48750]	Loss: 0.5791	LR: 0.100000
Training Epoch: 6 [14080/48750]	Loss: 0.7495	LR: 0.100000
Training Epoch: 6 [14336/48750]	Loss: 0.7374	LR: 0.100000
Training Epoch: 6 [14592/48750]	Loss: 0.7167	LR: 0.100000
Training Epoch: 6 [14848/48750]	Loss: 0.6397	LR: 0.100000
Training Epoch: 6 [15104/48750]	Loss: 0.7375	LR: 0.100000
Training Epoch: 6 [15360/48750]	Loss: 0.7189	LR: 0.100000
Training Epoch: 6 [15616/48750]	Loss: 0.6360	LR: 0.100000
Training Epoch: 6 [15872/48750]	Loss: 0.6802	LR: 0.100000
Training Epoch: 6 [16128/48750]	Loss: 0.6952	LR: 0.100000
Training Epoch: 6 [16384/48750]	Loss: 0.6323	LR: 0.100000
Training Epoch: 6 [16640/48750]	Loss: 0.6161	LR: 0.100000
Training Epoch: 6 [16896/48750]	Loss: 0.4994	LR: 0.100000
Training Epoch: 6 [17152/48750]	Loss: 0.7447	LR: 0.100000
Training Epoch: 6 [17408/48750]	Loss: 0.6743	LR: 0.100000
Training Epoch: 6 [17664/48750]	Loss: 0.5685	LR: 0.100000
Training Epoch: 6 [17920/48750]	Loss: 0.6421	LR: 0.100000
Training Epoch: 6 [18176/48750]	Loss: 0.6867	LR: 0.100000
Training Epoch: 6 [18432/48750]	Loss: 0.5989	LR: 0.100000
Training Epoch: 6 [18688/48750]	Loss: 0.7654	LR: 0.100000
Training Epoch: 6 [18944/48750]	Loss: 0.7103	LR: 0.100000
Training Epoch: 6 [19200/48750]	Loss: 0.5373	LR: 0.100000
Training Epoch: 6 [19456/48750]	Loss: 0.7039	LR: 0.100000
Training Epoch: 6 [19712/48750]	Loss: 0.6016	LR: 0.100000
Training Epoch: 6 [19968/48750]	Loss: 0.7583	LR: 0.100000
Training Epoch: 6 [20224/48750]	Loss: 0.6110	LR: 0.100000
Training Epoch: 6 [20480/48750]	Loss: 0.6044	LR: 0.100000
Training Epoch: 6 [20736/48750]	Loss: 0.6940	LR: 0.100000
Training Epoch: 6 [20992/48750]	Loss: 0.5932	LR: 0.100000
Training Epoch: 6 [21248/48750]	Loss: 0.7213	LR: 0.100000
Training Epoch: 6 [21504/48750]	Loss: 0.7966	LR: 0.100000
Training Epoch: 6 [21760/48750]	Loss: 0.7109	LR: 0.100000
Training Epoch: 6 [22016/48750]	Loss: 0.6694	LR: 0.100000
Training Epoch: 6 [22272/48750]	Loss: 0.6722	LR: 0.100000
Training Epoch: 6 [22528/48750]	Loss: 0.6909	LR: 0.100000
Training Epoch: 6 [22784/48750]	Loss: 0.6674	LR: 0.100000
Training Epoch: 6 [23040/48750]	Loss: 0.7221	LR: 0.100000
Training Epoch: 6 [23296/48750]	Loss: 0.7034	LR: 0.100000
Training Epoch: 6 [23552/48750]	Loss: 0.7153	LR: 0.100000
Training Epoch: 6 [23808/48750]	Loss: 0.6628	LR: 0.100000
Training Epoch: 6 [24064/48750]	Loss: 0.5160	LR: 0.100000
Training Epoch: 6 [24320/48750]	Loss: 0.6643	LR: 0.100000
Training Epoch: 6 [24576/48750]	Loss: 0.5922	LR: 0.100000
Training Epoch: 6 [24832/48750]	Loss: 0.6240	LR: 0.100000
Training Epoch: 6 [25088/48750]	Loss: 0.6256	LR: 0.100000
Training Epoch: 6 [25344/48750]	Loss: 0.6240	LR: 0.100000
Training Epoch: 6 [25600/48750]	Loss: 0.6925	LR: 0.100000
Training Epoch: 6 [25856/48750]	Loss: 0.5745	LR: 0.100000
Training Epoch: 6 [26112/48750]	Loss: 0.6268	LR: 0.100000
Training Epoch: 6 [26368/48750]	Loss: 0.6050	LR: 0.100000
Training Epoch: 6 [26624/48750]	Loss: 0.4828	LR: 0.100000
Training Epoch: 6 [26880/48750]	Loss: 0.7084	LR: 0.100000
Training Epoch: 6 [27136/48750]	Loss: 0.5305	LR: 0.100000
Training Epoch: 6 [27392/48750]	Loss: 0.5838	LR: 0.100000
Training Epoch: 6 [27648/48750]	Loss: 0.6632	LR: 0.100000
Training Epoch: 6 [27904/48750]	Loss: 0.4924	LR: 0.100000
Training Epoch: 6 [28160/48750]	Loss: 0.6073	LR: 0.100000
Training Epoch: 6 [28416/48750]	Loss: 0.6665	LR: 0.100000
Training Epoch: 6 [28672/48750]	Loss: 0.6616	LR: 0.100000
Training Epoch: 6 [28928/48750]	Loss: 0.6027	LR: 0.100000
Training Epoch: 6 [29184/48750]	Loss: 0.5549	LR: 0.100000
Training Epoch: 6 [29440/48750]	Loss: 0.5667	LR: 0.100000
Training Epoch: 6 [29696/48750]	Loss: 0.7073	LR: 0.100000
Training Epoch: 6 [29952/48750]	Loss: 0.6087	LR: 0.100000
Training Epoch: 6 [30208/48750]	Loss: 0.5525	LR: 0.100000
Training Epoch: 6 [30464/48750]	Loss: 0.6281	LR: 0.100000
Training Epoch: 6 [30720/48750]	Loss: 0.6402	LR: 0.100000
Training Epoch: 6 [30976/48750]	Loss: 0.6752	LR: 0.100000
Training Epoch: 6 [31232/48750]	Loss: 0.6977	LR: 0.100000
Training Epoch: 6 [31488/48750]	Loss: 0.6027	LR: 0.100000
Training Epoch: 6 [31744/48750]	Loss: 0.5878	LR: 0.100000
Training Epoch: 6 [32000/48750]	Loss: 0.7207	LR: 0.100000
Training Epoch: 6 [32256/48750]	Loss: 0.6283	LR: 0.100000
Training Epoch: 6 [32512/48750]	Loss: 0.5769	LR: 0.100000
Training Epoch: 6 [32768/48750]	Loss: 0.6813	LR: 0.100000
Training Epoch: 6 [33024/48750]	Loss: 0.5303	LR: 0.100000
Training Epoch: 6 [33280/48750]	Loss: 0.5786	LR: 0.100000
Training Epoch: 6 [33536/48750]	Loss: 0.6449	LR: 0.100000
Training Epoch: 6 [33792/48750]	Loss: 0.6333	LR: 0.100000
Training Epoch: 6 [34048/48750]	Loss: 0.7395	LR: 0.100000
Training Epoch: 6 [34304/48750]	Loss: 0.6309	LR: 0.100000
Training Epoch: 6 [34560/48750]	Loss: 0.7543	LR: 0.100000
Training Epoch: 6 [34816/48750]	Loss: 0.6449	LR: 0.100000
Training Epoch: 6 [35072/48750]	Loss: 0.6347	LR: 0.100000
Training Epoch: 6 [35328/48750]	Loss: 0.7009	LR: 0.100000
Training Epoch: 6 [35584/48750]	Loss: 0.5755	LR: 0.100000
Training Epoch: 6 [35840/48750]	Loss: 0.5754	LR: 0.100000
Training Epoch: 6 [36096/48750]	Loss: 0.5284	LR: 0.100000
Training Epoch: 6 [36352/48750]	Loss: 0.6190	LR: 0.100000
Training Epoch: 6 [36608/48750]	Loss: 0.6482	LR: 0.100000
Training Epoch: 6 [36864/48750]	Loss: 0.5824	LR: 0.100000
Training Epoch: 6 [37120/48750]	Loss: 0.6258	LR: 0.100000
Training Epoch: 6 [37376/48750]	Loss: 0.6388	LR: 0.100000
Training Epoch: 6 [37632/48750]	Loss: 0.5676	LR: 0.100000
Training Epoch: 6 [37888/48750]	Loss: 0.6345	LR: 0.100000
Training Epoch: 6 [38144/48750]	Loss: 0.6164	LR: 0.100000
Training Epoch: 6 [38400/48750]	Loss: 0.6115	LR: 0.100000
Training Epoch: 6 [38656/48750]	Loss: 0.6069	LR: 0.100000
Training Epoch: 6 [38912/48750]	Loss: 0.5272	LR: 0.100000
Training Epoch: 6 [39168/48750]	Loss: 0.6012	LR: 0.100000
Training Epoch: 6 [39424/48750]	Loss: 0.5683	LR: 0.100000
Training Epoch: 6 [39680/48750]	Loss: 0.7230	LR: 0.100000
Training Epoch: 6 [39936/48750]	Loss: 0.5947	LR: 0.100000
Training Epoch: 6 [40192/48750]	Loss: 0.6574	LR: 0.100000
Training Epoch: 6 [40448/48750]	Loss: 0.5492	LR: 0.100000
Training Epoch: 6 [40704/48750]	Loss: 0.6207	LR: 0.100000
Training Epoch: 6 [40960/48750]	Loss: 0.5671	LR: 0.100000
Training Epoch: 6 [41216/48750]	Loss: 0.6861	LR: 0.100000
Training Epoch: 6 [41472/48750]	Loss: 0.6129	LR: 0.100000
Training Epoch: 6 [41728/48750]	Loss: 0.5790	LR: 0.100000
Training Epoch: 6 [41984/48750]	Loss: 0.6349	LR: 0.100000
Training Epoch: 6 [42240/48750]	Loss: 0.5446	LR: 0.100000
Training Epoch: 6 [42496/48750]	Loss: 0.7165	LR: 0.100000
Training Epoch: 6 [42752/48750]	Loss: 0.6304	LR: 0.100000
Training Epoch: 6 [43008/48750]	Loss: 0.5583	LR: 0.100000
Training Epoch: 6 [43264/48750]	Loss: 0.5942	LR: 0.100000
Training Epoch: 6 [43520/48750]	Loss: 0.5712	LR: 0.100000
Training Epoch: 6 [43776/48750]	Loss: 0.7649	LR: 0.100000
Training Epoch: 6 [44032/48750]	Loss: 0.5555	LR: 0.100000
Training Epoch: 6 [44288/48750]	Loss: 0.6341	LR: 0.100000
Training Epoch: 6 [44544/48750]	Loss: 0.5818	LR: 0.100000
Training Epoch: 6 [44800/48750]	Loss: 0.5878	LR: 0.100000
Training Epoch: 6 [45056/48750]	Loss: 0.6100	LR: 0.100000
Training Epoch: 6 [45312/48750]	Loss: 0.7244	LR: 0.100000
Training Epoch: 6 [45568/48750]	Loss: 0.6138	LR: 0.100000
Training Epoch: 6 [45824/48750]	Loss: 0.6418	LR: 0.100000
Training Epoch: 6 [46080/48750]	Loss: 0.6432	LR: 0.100000
Training Epoch: 6 [46336/48750]	Loss: 0.6067	LR: 0.100000
Training Epoch: 6 [46592/48750]	Loss: 0.4953	LR: 0.100000
Training Epoch: 6 [46848/48750]	Loss: 0.7136	LR: 0.100000
Training Epoch: 6 [47104/48750]	Loss: 0.7460	LR: 0.100000
Training Epoch: 6 [47360/48750]	Loss: 0.5786	LR: 0.100000
Training Epoch: 6 [47616/48750]	Loss: 0.6790	LR: 0.100000
Training Epoch: 6 [47872/48750]	Loss: 0.5959	LR: 0.100000
Training Epoch: 6 [48128/48750]	Loss: 0.7106	LR: 0.100000
Training Epoch: 6 [48384/48750]	Loss: 0.5986	LR: 0.100000
Training Epoch: 6 [48640/48750]	Loss: 0.5545	LR: 0.100000
Training Epoch: 6 [48750/48750]	Loss: 0.6309	LR: 0.100000
Epoch 6 - Average Train Loss: 0.6367, Train Accuracy: 0.7769
Epoch 6 training time consumed: 29.27s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0025, Accuracy: 0.7837, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_14h_23m_58s/ResNet18-Cifar10-seed1-ret75-6-best.pth
Training Epoch: 7 [256/48750]	Loss: 0.6181	LR: 0.100000
Training Epoch: 7 [512/48750]	Loss: 0.6710	LR: 0.100000
Training Epoch: 7 [768/48750]	Loss: 0.6341	LR: 0.100000
Training Epoch: 7 [1024/48750]	Loss: 0.5601	LR: 0.100000
Training Epoch: 7 [1280/48750]	Loss: 0.7465	LR: 0.100000
Training Epoch: 7 [1536/48750]	Loss: 0.5551	LR: 0.100000
Training Epoch: 7 [1792/48750]	Loss: 0.5754	LR: 0.100000
Training Epoch: 7 [2048/48750]	Loss: 0.6455	LR: 0.100000
Training Epoch: 7 [2304/48750]	Loss: 0.7123	LR: 0.100000
Training Epoch: 7 [2560/48750]	Loss: 0.5825	LR: 0.100000
Training Epoch: 7 [2816/48750]	Loss: 0.5901	LR: 0.100000
Training Epoch: 7 [3072/48750]	Loss: 0.5805	LR: 0.100000
Training Epoch: 7 [3328/48750]	Loss: 0.6481	LR: 0.100000
Training Epoch: 7 [3584/48750]	Loss: 0.5642	LR: 0.100000
Training Epoch: 7 [3840/48750]	Loss: 0.6096	LR: 0.100000
Training Epoch: 7 [4096/48750]	Loss: 0.6453	LR: 0.100000
Training Epoch: 7 [4352/48750]	Loss: 0.6393	LR: 0.100000
Training Epoch: 7 [4608/48750]	Loss: 0.5617	LR: 0.100000
Training Epoch: 7 [4864/48750]	Loss: 0.6370	LR: 0.100000
Training Epoch: 7 [5120/48750]	Loss: 0.5634	LR: 0.100000
Training Epoch: 7 [5376/48750]	Loss: 0.5780	LR: 0.100000
Training Epoch: 7 [5632/48750]	Loss: 0.5312	LR: 0.100000
Training Epoch: 7 [5888/48750]	Loss: 0.5045	LR: 0.100000
Training Epoch: 7 [6144/48750]	Loss: 0.4471	LR: 0.100000
Training Epoch: 7 [6400/48750]	Loss: 0.5646	LR: 0.100000
Training Epoch: 7 [6656/48750]	Loss: 0.6222	LR: 0.100000
Training Epoch: 7 [6912/48750]	Loss: 0.5147	LR: 0.100000
Training Epoch: 7 [7168/48750]	Loss: 0.5968	LR: 0.100000
Training Epoch: 7 [7424/48750]	Loss: 0.5377	LR: 0.100000
Training Epoch: 7 [7680/48750]	Loss: 0.5976	LR: 0.100000
Training Epoch: 7 [7936/48750]	Loss: 0.5089	LR: 0.100000
Training Epoch: 7 [8192/48750]	Loss: 0.6127	LR: 0.100000
Training Epoch: 7 [8448/48750]	Loss: 0.5898	LR: 0.100000
Training Epoch: 7 [8704/48750]	Loss: 0.7910	LR: 0.100000
Training Epoch: 7 [8960/48750]	Loss: 0.6245	LR: 0.100000
Training Epoch: 7 [9216/48750]	Loss: 0.6624	LR: 0.100000
Training Epoch: 7 [9472/48750]	Loss: 0.6928	LR: 0.100000
Training Epoch: 7 [9728/48750]	Loss: 0.5352	LR: 0.100000
Training Epoch: 7 [9984/48750]	Loss: 0.5746	LR: 0.100000
Training Epoch: 7 [10240/48750]	Loss: 0.6294	LR: 0.100000
Training Epoch: 7 [10496/48750]	Loss: 0.7305	LR: 0.100000
Training Epoch: 7 [10752/48750]	Loss: 0.6167	LR: 0.100000
Training Epoch: 7 [11008/48750]	Loss: 0.6560	LR: 0.100000
Training Epoch: 7 [11264/48750]	Loss: 0.5809	LR: 0.100000
Training Epoch: 7 [11520/48750]	Loss: 0.6099	LR: 0.100000
Training Epoch: 7 [11776/48750]	Loss: 0.6179	LR: 0.100000
Training Epoch: 7 [12032/48750]	Loss: 0.6388	LR: 0.100000
Training Epoch: 7 [12288/48750]	Loss: 0.6224	LR: 0.100000
Training Epoch: 7 [12544/48750]	Loss: 0.5853	LR: 0.100000
Training Epoch: 7 [12800/48750]	Loss: 0.5788	LR: 0.100000
Training Epoch: 7 [13056/48750]	Loss: 0.5767	LR: 0.100000
Training Epoch: 7 [13312/48750]	Loss: 0.6507	LR: 0.100000
Training Epoch: 7 [13568/48750]	Loss: 0.5597	LR: 0.100000
Training Epoch: 7 [13824/48750]	Loss: 0.5263	LR: 0.100000
Training Epoch: 7 [14080/48750]	Loss: 0.4309	LR: 0.100000
Training Epoch: 7 [14336/48750]	Loss: 0.6032	LR: 0.100000
Training Epoch: 7 [14592/48750]	Loss: 0.6064	LR: 0.100000
Training Epoch: 7 [14848/48750]	Loss: 0.6477	LR: 0.100000
Training Epoch: 7 [15104/48750]	Loss: 0.5535	LR: 0.100000
Training Epoch: 7 [15360/48750]	Loss: 0.6710	LR: 0.100000
Training Epoch: 7 [15616/48750]	Loss: 0.6800	LR: 0.100000
Training Epoch: 7 [15872/48750]	Loss: 0.5364	LR: 0.100000
Training Epoch: 7 [16128/48750]	Loss: 0.5043	LR: 0.100000
Training Epoch: 7 [16384/48750]	Loss: 0.5630	LR: 0.100000
Training Epoch: 7 [16640/48750]	Loss: 0.4946	LR: 0.100000
Training Epoch: 7 [16896/48750]	Loss: 0.3989	LR: 0.100000
Training Epoch: 7 [17152/48750]	Loss: 0.6421	LR: 0.100000
Training Epoch: 7 [17408/48750]	Loss: 0.5831	LR: 0.100000
Training Epoch: 7 [17664/48750]	Loss: 0.6257	LR: 0.100000
Training Epoch: 7 [17920/48750]	Loss: 0.7071	LR: 0.100000
Training Epoch: 7 [18176/48750]	Loss: 0.5515	LR: 0.100000
Training Epoch: 7 [18432/48750]	Loss: 0.5478	LR: 0.100000
Training Epoch: 7 [18688/48750]	Loss: 0.5321	LR: 0.100000
Training Epoch: 7 [18944/48750]	Loss: 0.6512	LR: 0.100000
Training Epoch: 7 [19200/48750]	Loss: 0.6061	LR: 0.100000
Training Epoch: 7 [19456/48750]	Loss: 0.5835	LR: 0.100000
Training Epoch: 7 [19712/48750]	Loss: 0.6464	LR: 0.100000
Training Epoch: 7 [19968/48750]	Loss: 0.6304	LR: 0.100000
Training Epoch: 7 [20224/48750]	Loss: 0.5540	LR: 0.100000
Training Epoch: 7 [20480/48750]	Loss: 0.5304	LR: 0.100000
Training Epoch: 7 [20736/48750]	Loss: 0.5530	LR: 0.100000
Training Epoch: 7 [20992/48750]	Loss: 0.5037	LR: 0.100000
Training Epoch: 7 [21248/48750]	Loss: 0.6505	LR: 0.100000
Training Epoch: 7 [21504/48750]	Loss: 0.6745	LR: 0.100000
Training Epoch: 7 [21760/48750]	Loss: 0.7219	LR: 0.100000
Training Epoch: 7 [22016/48750]	Loss: 0.6303	LR: 0.100000
Training Epoch: 7 [22272/48750]	Loss: 0.5632	LR: 0.100000
Training Epoch: 7 [22528/48750]	Loss: 0.6565	LR: 0.100000
Training Epoch: 7 [22784/48750]	Loss: 0.5923	LR: 0.100000
Training Epoch: 7 [23040/48750]	Loss: 0.6328	LR: 0.100000
Training Epoch: 7 [23296/48750]	Loss: 0.5959	LR: 0.100000
Training Epoch: 7 [23552/48750]	Loss: 0.7284	LR: 0.100000
Training Epoch: 7 [23808/48750]	Loss: 0.6434	LR: 0.100000
Training Epoch: 7 [24064/48750]	Loss: 0.6416	LR: 0.100000
Training Epoch: 7 [24320/48750]	Loss: 0.6437	LR: 0.100000
Training Epoch: 7 [24576/48750]	Loss: 0.6725	LR: 0.100000
Training Epoch: 7 [24832/48750]	Loss: 0.6320	LR: 0.100000
Training Epoch: 7 [25088/48750]	Loss: 0.6065	LR: 0.100000
Training Epoch: 7 [25344/48750]	Loss: 0.5512	LR: 0.100000
Training Epoch: 7 [25600/48750]	Loss: 0.5408	LR: 0.100000
Training Epoch: 7 [25856/48750]	Loss: 0.6178	LR: 0.100000
Training Epoch: 7 [26112/48750]	Loss: 0.6837	LR: 0.100000
Training Epoch: 7 [26368/48750]	Loss: 0.6196	LR: 0.100000
Training Epoch: 7 [26624/48750]	Loss: 0.5546	LR: 0.100000
Training Epoch: 7 [26880/48750]	Loss: 0.6757	LR: 0.100000
Training Epoch: 7 [27136/48750]	Loss: 0.5514	LR: 0.100000
Training Epoch: 7 [27392/48750]	Loss: 0.6478	LR: 0.100000
Training Epoch: 7 [27648/48750]	Loss: 0.6172	LR: 0.100000
Training Epoch: 7 [27904/48750]	Loss: 0.5678	LR: 0.100000
Training Epoch: 7 [28160/48750]	Loss: 0.8716	LR: 0.100000
Training Epoch: 7 [28416/48750]	Loss: 0.6030	LR: 0.100000
Training Epoch: 7 [28672/48750]	Loss: 0.7862	LR: 0.100000
Training Epoch: 7 [28928/48750]	Loss: 0.5492	LR: 0.100000
Training Epoch: 7 [29184/48750]	Loss: 0.6336	LR: 0.100000
Training Epoch: 7 [29440/48750]	Loss: 0.6559	LR: 0.100000
Training Epoch: 7 [29696/48750]	Loss: 0.6336	LR: 0.100000
Training Epoch: 7 [29952/48750]	Loss: 0.5216	LR: 0.100000
Training Epoch: 7 [30208/48750]	Loss: 0.6016	LR: 0.100000
Training Epoch: 7 [30464/48750]	Loss: 0.5872	LR: 0.100000
Training Epoch: 7 [30720/48750]	Loss: 0.5951	LR: 0.100000
Training Epoch: 7 [30976/48750]	Loss: 0.7875	LR: 0.100000
Training Epoch: 7 [31232/48750]	Loss: 0.6231	LR: 0.100000
Training Epoch: 7 [31488/48750]	Loss: 0.6709	LR: 0.100000
Training Epoch: 7 [31744/48750]	Loss: 0.5972	LR: 0.100000
Training Epoch: 7 [32000/48750]	Loss: 0.5734	LR: 0.100000
Training Epoch: 7 [32256/48750]	Loss: 0.5703	LR: 0.100000
Training Epoch: 7 [32512/48750]	Loss: 0.4891	LR: 0.100000
Training Epoch: 7 [32768/48750]	Loss: 0.6871	LR: 0.100000
Training Epoch: 7 [33024/48750]	Loss: 0.5761	LR: 0.100000
Training Epoch: 7 [33280/48750]	Loss: 0.6327	LR: 0.100000
Training Epoch: 7 [33536/48750]	Loss: 0.6217	LR: 0.100000
Training Epoch: 7 [33792/48750]	Loss: 0.5716	LR: 0.100000
Training Epoch: 7 [34048/48750]	Loss: 0.4997	LR: 0.100000
Training Epoch: 7 [34304/48750]	Loss: 0.6024	LR: 0.100000
Training Epoch: 7 [34560/48750]	Loss: 0.6099	LR: 0.100000
Training Epoch: 7 [34816/48750]	Loss: 0.6475	LR: 0.100000
Training Epoch: 7 [35072/48750]	Loss: 0.5924	LR: 0.100000
Training Epoch: 7 [35328/48750]	Loss: 0.5825	LR: 0.100000
Training Epoch: 7 [35584/48750]	Loss: 0.5106	LR: 0.100000
Training Epoch: 7 [35840/48750]	Loss: 0.5525	LR: 0.100000
Training Epoch: 7 [36096/48750]	Loss: 0.4946	LR: 0.100000
Training Epoch: 7 [36352/48750]	Loss: 0.5837	LR: 0.100000
Training Epoch: 7 [36608/48750]	Loss: 0.5841	LR: 0.100000
Training Epoch: 7 [36864/48750]	Loss: 0.5736	LR: 0.100000
Training Epoch: 7 [37120/48750]	Loss: 0.5151	LR: 0.100000
Training Epoch: 7 [37376/48750]	Loss: 0.6209	LR: 0.100000
Training Epoch: 7 [37632/48750]	Loss: 0.4297	LR: 0.100000
Training Epoch: 7 [37888/48750]	Loss: 0.5755	LR: 0.100000
Training Epoch: 7 [38144/48750]	Loss: 0.5635	LR: 0.100000
Training Epoch: 7 [38400/48750]	Loss: 0.5733	LR: 0.100000
Training Epoch: 7 [38656/48750]	Loss: 0.5385	LR: 0.100000
Training Epoch: 7 [38912/48750]	Loss: 0.5674	LR: 0.100000
Training Epoch: 7 [39168/48750]	Loss: 0.5975	LR: 0.100000
Training Epoch: 7 [39424/48750]	Loss: 0.6432	LR: 0.100000
Training Epoch: 7 [39680/48750]	Loss: 0.6041	LR: 0.100000
Training Epoch: 7 [39936/48750]	Loss: 0.7112	LR: 0.100000
Training Epoch: 7 [40192/48750]	Loss: 0.6615	LR: 0.100000
Training Epoch: 7 [40448/48750]	Loss: 0.6115	LR: 0.100000
Training Epoch: 7 [40704/48750]	Loss: 0.5734	LR: 0.100000
Training Epoch: 7 [40960/48750]	Loss: 0.4846	LR: 0.100000
Training Epoch: 7 [41216/48750]	Loss: 0.5587	LR: 0.100000
Training Epoch: 7 [41472/48750]	Loss: 0.6183	LR: 0.100000
Training Epoch: 7 [41728/48750]	Loss: 0.6067	LR: 0.100000
Training Epoch: 7 [41984/48750]	Loss: 0.5999	LR: 0.100000
Training Epoch: 7 [42240/48750]	Loss: 0.5715	LR: 0.100000
Training Epoch: 7 [42496/48750]	Loss: 0.6136	LR: 0.100000
Training Epoch: 7 [42752/48750]	Loss: 0.6738	LR: 0.100000
Training Epoch: 7 [43008/48750]	Loss: 0.6395	LR: 0.100000
Training Epoch: 7 [43264/48750]	Loss: 0.4671	LR: 0.100000
Training Epoch: 7 [43520/48750]	Loss: 0.6800	LR: 0.100000
Training Epoch: 7 [43776/48750]	Loss: 0.4844	LR: 0.100000
Training Epoch: 7 [44032/48750]	Loss: 0.6584	LR: 0.100000
Training Epoch: 7 [44288/48750]	Loss: 0.5083	LR: 0.100000
Training Epoch: 7 [44544/48750]	Loss: 0.6076	LR: 0.100000
Training Epoch: 7 [44800/48750]	Loss: 0.5943	LR: 0.100000
Training Epoch: 7 [45056/48750]	Loss: 0.4864	LR: 0.100000
Training Epoch: 7 [45312/48750]	Loss: 0.5787	LR: 0.100000
Training Epoch: 7 [45568/48750]	Loss: 0.6376	LR: 0.100000
Training Epoch: 7 [45824/48750]	Loss: 0.5100	LR: 0.100000
Training Epoch: 7 [46080/48750]	Loss: 0.4790	LR: 0.100000
Training Epoch: 7 [46336/48750]	Loss: 0.6232	LR: 0.100000
Training Epoch: 7 [46592/48750]	Loss: 0.5884	LR: 0.100000
Training Epoch: 7 [46848/48750]	Loss: 0.5334	LR: 0.100000
Training Epoch: 7 [47104/48750]	Loss: 0.5243	LR: 0.100000
Training Epoch: 7 [47360/48750]	Loss: 0.5388	LR: 0.100000
Training Epoch: 7 [47616/48750]	Loss: 0.5494	LR: 0.100000
Training Epoch: 7 [47872/48750]	Loss: 0.6520	LR: 0.100000
Training Epoch: 7 [48128/48750]	Loss: 0.5834	LR: 0.100000
Training Epoch: 7 [48384/48750]	Loss: 0.4943	LR: 0.100000
Training Epoch: 7 [48640/48750]	Loss: 0.5807	LR: 0.100000
Training Epoch: 7 [48750/48750]	Loss: 0.4832	LR: 0.100000
Epoch 7 - Average Train Loss: 0.5968, Train Accuracy: 0.7944
Epoch 7 training time consumed: 29.18s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0024, Accuracy: 0.8032, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_14h_23m_58s/ResNet18-Cifar10-seed1-ret75-7-best.pth
Training Epoch: 8 [256/48750]	Loss: 0.6126	LR: 0.020000
Training Epoch: 8 [512/48750]	Loss: 0.5374	LR: 0.020000
Training Epoch: 8 [768/48750]	Loss: 0.4307	LR: 0.020000
Training Epoch: 8 [1024/48750]	Loss: 0.5596	LR: 0.020000
Training Epoch: 8 [1280/48750]	Loss: 0.5242	LR: 0.020000
Training Epoch: 8 [1536/48750]	Loss: 0.4869	LR: 0.020000
Training Epoch: 8 [1792/48750]	Loss: 0.3801	LR: 0.020000
Training Epoch: 8 [2048/48750]	Loss: 0.4779	LR: 0.020000
Training Epoch: 8 [2304/48750]	Loss: 0.5172	LR: 0.020000
Training Epoch: 8 [2560/48750]	Loss: 0.5077	LR: 0.020000
Training Epoch: 8 [2816/48750]	Loss: 0.4591	LR: 0.020000
Training Epoch: 8 [3072/48750]	Loss: 0.4623	LR: 0.020000
Training Epoch: 8 [3328/48750]	Loss: 0.4378	LR: 0.020000
Training Epoch: 8 [3584/48750]	Loss: 0.4070	LR: 0.020000
Training Epoch: 8 [3840/48750]	Loss: 0.4163	LR: 0.020000
Training Epoch: 8 [4096/48750]	Loss: 0.5149	LR: 0.020000
Training Epoch: 8 [4352/48750]	Loss: 0.5206	LR: 0.020000
Training Epoch: 8 [4608/48750]	Loss: 0.3765	LR: 0.020000
Training Epoch: 8 [4864/48750]	Loss: 0.5251	LR: 0.020000
Training Epoch: 8 [5120/48750]	Loss: 0.4724	LR: 0.020000
Training Epoch: 8 [5376/48750]	Loss: 0.4170	LR: 0.020000
Training Epoch: 8 [5632/48750]	Loss: 0.5197	LR: 0.020000
Training Epoch: 8 [5888/48750]	Loss: 0.3893	LR: 0.020000
Training Epoch: 8 [6144/48750]	Loss: 0.4136	LR: 0.020000
Training Epoch: 8 [6400/48750]	Loss: 0.4396	LR: 0.020000
Training Epoch: 8 [6656/48750]	Loss: 0.4091	LR: 0.020000
Training Epoch: 8 [6912/48750]	Loss: 0.4224	LR: 0.020000
Training Epoch: 8 [7168/48750]	Loss: 0.4568	LR: 0.020000
Training Epoch: 8 [7424/48750]	Loss: 0.4715	LR: 0.020000
Training Epoch: 8 [7680/48750]	Loss: 0.5111	LR: 0.020000
Training Epoch: 8 [7936/48750]	Loss: 0.3941	LR: 0.020000
Training Epoch: 8 [8192/48750]	Loss: 0.5061	LR: 0.020000
Training Epoch: 8 [8448/48750]	Loss: 0.5454	LR: 0.020000
Training Epoch: 8 [8704/48750]	Loss: 0.4029	LR: 0.020000
Training Epoch: 8 [8960/48750]	Loss: 0.4905	LR: 0.020000
Training Epoch: 8 [9216/48750]	Loss: 0.4171	LR: 0.020000
Training Epoch: 8 [9472/48750]	Loss: 0.5392	LR: 0.020000
Training Epoch: 8 [9728/48750]	Loss: 0.4550	LR: 0.020000
Training Epoch: 8 [9984/48750]	Loss: 0.4183	LR: 0.020000
Training Epoch: 8 [10240/48750]	Loss: 0.3617	LR: 0.020000
Training Epoch: 8 [10496/48750]	Loss: 0.3974	LR: 0.020000
Training Epoch: 8 [10752/48750]	Loss: 0.5039	LR: 0.020000
Training Epoch: 8 [11008/48750]	Loss: 0.4523	LR: 0.020000
Training Epoch: 8 [11264/48750]	Loss: 0.4943	LR: 0.020000
Training Epoch: 8 [11520/48750]	Loss: 0.3955	LR: 0.020000
Training Epoch: 8 [11776/48750]	Loss: 0.4484	LR: 0.020000
Training Epoch: 8 [12032/48750]	Loss: 0.3438	LR: 0.020000
Training Epoch: 8 [12288/48750]	Loss: 0.3979	LR: 0.020000
Training Epoch: 8 [12544/48750]	Loss: 0.5132	LR: 0.020000
Training Epoch: 8 [12800/48750]	Loss: 0.4576	LR: 0.020000
Training Epoch: 8 [13056/48750]	Loss: 0.4842	LR: 0.020000
Training Epoch: 8 [13312/48750]	Loss: 0.5105	LR: 0.020000
Training Epoch: 8 [13568/48750]	Loss: 0.4712	LR: 0.020000
Training Epoch: 8 [13824/48750]	Loss: 0.4054	LR: 0.020000
Training Epoch: 8 [14080/48750]	Loss: 0.5730	LR: 0.020000
Training Epoch: 8 [14336/48750]	Loss: 0.4066	LR: 0.020000
Training Epoch: 8 [14592/48750]	Loss: 0.4530	LR: 0.020000
Training Epoch: 8 [14848/48750]	Loss: 0.4049	LR: 0.020000
Training Epoch: 8 [15104/48750]	Loss: 0.3920	LR: 0.020000
Training Epoch: 8 [15360/48750]	Loss: 0.3959	LR: 0.020000
Training Epoch: 8 [15616/48750]	Loss: 0.3842	LR: 0.020000
Training Epoch: 8 [15872/48750]	Loss: 0.4458	LR: 0.020000
Training Epoch: 8 [16128/48750]	Loss: 0.4005	LR: 0.020000
Training Epoch: 8 [16384/48750]	Loss: 0.4477	LR: 0.020000
Training Epoch: 8 [16640/48750]	Loss: 0.4671	LR: 0.020000
Training Epoch: 8 [16896/48750]	Loss: 0.3649	LR: 0.020000
Training Epoch: 8 [17152/48750]	Loss: 0.3585	LR: 0.020000
Training Epoch: 8 [17408/48750]	Loss: 0.4382	LR: 0.020000
Training Epoch: 8 [17664/48750]	Loss: 0.5581	LR: 0.020000
Training Epoch: 8 [17920/48750]	Loss: 0.4436	LR: 0.020000
Training Epoch: 8 [18176/48750]	Loss: 0.3170	LR: 0.020000
Training Epoch: 8 [18432/48750]	Loss: 0.4728	LR: 0.020000
Training Epoch: 8 [18688/48750]	Loss: 0.3956	LR: 0.020000
Training Epoch: 8 [18944/48750]	Loss: 0.3687	LR: 0.020000
Training Epoch: 8 [19200/48750]	Loss: 0.4180	LR: 0.020000
Training Epoch: 8 [19456/48750]	Loss: 0.4080	LR: 0.020000
Training Epoch: 8 [19712/48750]	Loss: 0.3811	LR: 0.020000
Training Epoch: 8 [19968/48750]	Loss: 0.4447	LR: 0.020000
Training Epoch: 8 [20224/48750]	Loss: 0.4722	LR: 0.020000
Training Epoch: 8 [20480/48750]	Loss: 0.4393	LR: 0.020000
Training Epoch: 8 [20736/48750]	Loss: 0.3108	LR: 0.020000
Training Epoch: 8 [20992/48750]	Loss: 0.3831	LR: 0.020000
Training Epoch: 8 [21248/48750]	Loss: 0.3506	LR: 0.020000
Training Epoch: 8 [21504/48750]	Loss: 0.4041	LR: 0.020000
Training Epoch: 8 [21760/48750]	Loss: 0.4998	LR: 0.020000
Training Epoch: 8 [22016/48750]	Loss: 0.4069	LR: 0.020000
Training Epoch: 8 [22272/48750]	Loss: 0.4414	LR: 0.020000
Training Epoch: 8 [22528/48750]	Loss: 0.4257	LR: 0.020000
Training Epoch: 8 [22784/48750]	Loss: 0.4453	LR: 0.020000
Training Epoch: 8 [23040/48750]	Loss: 0.3391	LR: 0.020000
Training Epoch: 8 [23296/48750]	Loss: 0.4987	LR: 0.020000
Training Epoch: 8 [23552/48750]	Loss: 0.3820	LR: 0.020000
Training Epoch: 8 [23808/48750]	Loss: 0.4360	LR: 0.020000
Training Epoch: 8 [24064/48750]	Loss: 0.4410	LR: 0.020000
Training Epoch: 8 [24320/48750]	Loss: 0.3868	LR: 0.020000
Training Epoch: 8 [24576/48750]	Loss: 0.4917	LR: 0.020000
Training Epoch: 8 [24832/48750]	Loss: 0.4434	LR: 0.020000
Training Epoch: 8 [25088/48750]	Loss: 0.5894	LR: 0.020000
Training Epoch: 8 [25344/48750]	Loss: 0.4116	LR: 0.020000
Training Epoch: 8 [25600/48750]	Loss: 0.4344	LR: 0.020000
Training Epoch: 8 [25856/48750]	Loss: 0.4766	LR: 0.020000
Training Epoch: 8 [26112/48750]	Loss: 0.4534	LR: 0.020000
Training Epoch: 8 [26368/48750]	Loss: 0.4579	LR: 0.020000
Training Epoch: 8 [26624/48750]	Loss: 0.4627	LR: 0.020000
Training Epoch: 8 [26880/48750]	Loss: 0.3568	LR: 0.020000
Training Epoch: 8 [27136/48750]	Loss: 0.4181	LR: 0.020000
Training Epoch: 8 [27392/48750]	Loss: 0.4201	LR: 0.020000
Training Epoch: 8 [27648/48750]	Loss: 0.4243	LR: 0.020000
Training Epoch: 8 [27904/48750]	Loss: 0.4549	LR: 0.020000
Training Epoch: 8 [28160/48750]	Loss: 0.3900	LR: 0.020000
Training Epoch: 8 [28416/48750]	Loss: 0.3435	LR: 0.020000
Training Epoch: 8 [28672/48750]	Loss: 0.4806	LR: 0.020000
Training Epoch: 8 [28928/48750]	Loss: 0.4057	LR: 0.020000
Training Epoch: 8 [29184/48750]	Loss: 0.4820	LR: 0.020000
Training Epoch: 8 [29440/48750]	Loss: 0.3015	LR: 0.020000
Training Epoch: 8 [29696/48750]	Loss: 0.3315	LR: 0.020000
Training Epoch: 8 [29952/48750]	Loss: 0.4565	LR: 0.020000
Training Epoch: 8 [30208/48750]	Loss: 0.3933	LR: 0.020000
Training Epoch: 8 [30464/48750]	Loss: 0.4959	LR: 0.020000
Training Epoch: 8 [30720/48750]	Loss: 0.5492	LR: 0.020000
Training Epoch: 8 [30976/48750]	Loss: 0.4991	LR: 0.020000
Training Epoch: 8 [31232/48750]	Loss: 0.4490	LR: 0.020000
Training Epoch: 8 [31488/48750]	Loss: 0.3877	LR: 0.020000
Training Epoch: 8 [31744/48750]	Loss: 0.4292	LR: 0.020000
Training Epoch: 8 [32000/48750]	Loss: 0.4291	LR: 0.020000
Training Epoch: 8 [32256/48750]	Loss: 0.5600	LR: 0.020000
Training Epoch: 8 [32512/48750]	Loss: 0.4041	LR: 0.020000
Training Epoch: 8 [32768/48750]	Loss: 0.3544	LR: 0.020000
Training Epoch: 8 [33024/48750]	Loss: 0.4073	LR: 0.020000
Training Epoch: 8 [33280/48750]	Loss: 0.4512	LR: 0.020000
Training Epoch: 8 [33536/48750]	Loss: 0.3973	LR: 0.020000
Training Epoch: 8 [33792/48750]	Loss: 0.3440	LR: 0.020000
Training Epoch: 8 [34048/48750]	Loss: 0.3618	LR: 0.020000
Training Epoch: 8 [34304/48750]	Loss: 0.3976	LR: 0.020000
Training Epoch: 8 [34560/48750]	Loss: 0.4438	LR: 0.020000
Training Epoch: 8 [34816/48750]	Loss: 0.4542	LR: 0.020000
Training Epoch: 8 [35072/48750]	Loss: 0.3470	LR: 0.020000
Training Epoch: 8 [35328/48750]	Loss: 0.4501	LR: 0.020000
Training Epoch: 8 [35584/48750]	Loss: 0.4084	LR: 0.020000
Training Epoch: 8 [35840/48750]	Loss: 0.3847	LR: 0.020000
Training Epoch: 8 [36096/48750]	Loss: 0.4500	LR: 0.020000
Training Epoch: 8 [36352/48750]	Loss: 0.3129	LR: 0.020000
Training Epoch: 8 [36608/48750]	Loss: 0.3619	LR: 0.020000
Training Epoch: 8 [36864/48750]	Loss: 0.4235	LR: 0.020000
Training Epoch: 8 [37120/48750]	Loss: 0.3738	LR: 0.020000
Training Epoch: 8 [37376/48750]	Loss: 0.4912	LR: 0.020000
Training Epoch: 8 [37632/48750]	Loss: 0.4539	LR: 0.020000
Training Epoch: 8 [37888/48750]	Loss: 0.4375	LR: 0.020000
Training Epoch: 8 [38144/48750]	Loss: 0.4164	LR: 0.020000
Training Epoch: 8 [38400/48750]	Loss: 0.4472	LR: 0.020000
Training Epoch: 8 [38656/48750]	Loss: 0.4374	LR: 0.020000
Training Epoch: 8 [38912/48750]	Loss: 0.3776	LR: 0.020000
Training Epoch: 8 [39168/48750]	Loss: 0.3452	LR: 0.020000
Training Epoch: 8 [39424/48750]	Loss: 0.3612	LR: 0.020000
Training Epoch: 8 [39680/48750]	Loss: 0.4291	LR: 0.020000
Training Epoch: 8 [39936/48750]	Loss: 0.5084	LR: 0.020000
Training Epoch: 8 [40192/48750]	Loss: 0.4963	LR: 0.020000
Training Epoch: 8 [40448/48750]	Loss: 0.4191	LR: 0.020000
Training Epoch: 8 [40704/48750]	Loss: 0.4313	LR: 0.020000
Training Epoch: 8 [40960/48750]	Loss: 0.5082	LR: 0.020000
Training Epoch: 8 [41216/48750]	Loss: 0.3912	LR: 0.020000
Training Epoch: 8 [41472/48750]	Loss: 0.3919	LR: 0.020000
Training Epoch: 8 [41728/48750]	Loss: 0.4259	LR: 0.020000
Training Epoch: 8 [41984/48750]	Loss: 0.4225	LR: 0.020000
Training Epoch: 8 [42240/48750]	Loss: 0.3551	LR: 0.020000
Training Epoch: 8 [42496/48750]	Loss: 0.3174	LR: 0.020000
Training Epoch: 8 [42752/48750]	Loss: 0.4287	LR: 0.020000
Training Epoch: 8 [43008/48750]	Loss: 0.4542	LR: 0.020000
Training Epoch: 8 [43264/48750]	Loss: 0.4395	LR: 0.020000
Training Epoch: 8 [43520/48750]	Loss: 0.4717	LR: 0.020000
Training Epoch: 8 [43776/48750]	Loss: 0.5065	LR: 0.020000
Training Epoch: 8 [44032/48750]	Loss: 0.3832	LR: 0.020000
Training Epoch: 8 [44288/48750]	Loss: 0.4502	LR: 0.020000
Training Epoch: 8 [44544/48750]	Loss: 0.3118	LR: 0.020000
Training Epoch: 8 [44800/48750]	Loss: 0.4477	LR: 0.020000
Training Epoch: 8 [45056/48750]	Loss: 0.5116	LR: 0.020000
Training Epoch: 8 [45312/48750]	Loss: 0.4380	LR: 0.020000
Training Epoch: 8 [45568/48750]	Loss: 0.3506	LR: 0.020000
Training Epoch: 8 [45824/48750]	Loss: 0.2848	LR: 0.020000
Training Epoch: 8 [46080/48750]	Loss: 0.4257	LR: 0.020000
Training Epoch: 8 [46336/48750]	Loss: 0.4745	LR: 0.020000
Training Epoch: 8 [46592/48750]	Loss: 0.3643	LR: 0.020000
Training Epoch: 8 [46848/48750]	Loss: 0.3762	LR: 0.020000
Training Epoch: 8 [47104/48750]	Loss: 0.4521	LR: 0.020000
Training Epoch: 8 [47360/48750]	Loss: 0.4763	LR: 0.020000
Training Epoch: 8 [47616/48750]	Loss: 0.4424	LR: 0.020000
Training Epoch: 8 [47872/48750]	Loss: 0.4032	LR: 0.020000
Training Epoch: 8 [48128/48750]	Loss: 0.4503	LR: 0.020000
Training Epoch: 8 [48384/48750]	Loss: 0.4948	LR: 0.020000
Training Epoch: 8 [48640/48750]	Loss: 0.4119	LR: 0.020000
Training Epoch: 8 [48750/48750]	Loss: 0.5066	LR: 0.020000
Epoch 8 - Average Train Loss: 0.4339, Train Accuracy: 0.8488
Epoch 8 training time consumed: 29.17s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0016, Accuracy: 0.8598, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_14h_23m_58s/ResNet18-Cifar10-seed1-ret75-8-best.pth
Training Epoch: 9 [256/48750]	Loss: 0.2747	LR: 0.020000
Training Epoch: 9 [512/48750]	Loss: 0.3487	LR: 0.020000
Training Epoch: 9 [768/48750]	Loss: 0.5140	LR: 0.020000
Training Epoch: 9 [1024/48750]	Loss: 0.3689	LR: 0.020000
Training Epoch: 9 [1280/48750]	Loss: 0.3838	LR: 0.020000
Training Epoch: 9 [1536/48750]	Loss: 0.2752	LR: 0.020000
Training Epoch: 9 [1792/48750]	Loss: 0.4575	LR: 0.020000
Training Epoch: 9 [2048/48750]	Loss: 0.3373	LR: 0.020000
Training Epoch: 9 [2304/48750]	Loss: 0.4678	LR: 0.020000
Training Epoch: 9 [2560/48750]	Loss: 0.3785	LR: 0.020000
Training Epoch: 9 [2816/48750]	Loss: 0.3484	LR: 0.020000
Training Epoch: 9 [3072/48750]	Loss: 0.3600	LR: 0.020000
Training Epoch: 9 [3328/48750]	Loss: 0.3465	LR: 0.020000
Training Epoch: 9 [3584/48750]	Loss: 0.3524	LR: 0.020000
Training Epoch: 9 [3840/48750]	Loss: 0.3784	LR: 0.020000
Training Epoch: 9 [4096/48750]	Loss: 0.3685	LR: 0.020000
Training Epoch: 9 [4352/48750]	Loss: 0.3511	LR: 0.020000
Training Epoch: 9 [4608/48750]	Loss: 0.4158	LR: 0.020000
Training Epoch: 9 [4864/48750]	Loss: 0.3567	LR: 0.020000
Training Epoch: 9 [5120/48750]	Loss: 0.3915	LR: 0.020000
Training Epoch: 9 [5376/48750]	Loss: 0.4306	LR: 0.020000
Training Epoch: 9 [5632/48750]	Loss: 0.4059	LR: 0.020000
Training Epoch: 9 [5888/48750]	Loss: 0.3353	LR: 0.020000
Training Epoch: 9 [6144/48750]	Loss: 0.4602	LR: 0.020000
Training Epoch: 9 [6400/48750]	Loss: 0.3817	LR: 0.020000
Training Epoch: 9 [6656/48750]	Loss: 0.4170	LR: 0.020000
Training Epoch: 9 [6912/48750]	Loss: 0.3581	LR: 0.020000
Training Epoch: 9 [7168/48750]	Loss: 0.4352	LR: 0.020000
Training Epoch: 9 [7424/48750]	Loss: 0.4545	LR: 0.020000
Training Epoch: 9 [7680/48750]	Loss: 0.3704	LR: 0.020000
Training Epoch: 9 [7936/48750]	Loss: 0.3417	LR: 0.020000
Training Epoch: 9 [8192/48750]	Loss: 0.4056	LR: 0.020000
Training Epoch: 9 [8448/48750]	Loss: 0.3952	LR: 0.020000
Training Epoch: 9 [8704/48750]	Loss: 0.4279	LR: 0.020000
Training Epoch: 9 [8960/48750]	Loss: 0.4183	LR: 0.020000
Training Epoch: 9 [9216/48750]	Loss: 0.2683	LR: 0.020000
Training Epoch: 9 [9472/48750]	Loss: 0.3048	LR: 0.020000
Training Epoch: 9 [9728/48750]	Loss: 0.3341	LR: 0.020000
Training Epoch: 9 [9984/48750]	Loss: 0.3162	LR: 0.020000
Training Epoch: 9 [10240/48750]	Loss: 0.4297	LR: 0.020000
Training Epoch: 9 [10496/48750]	Loss: 0.3446	LR: 0.020000
Training Epoch: 9 [10752/48750]	Loss: 0.3840	LR: 0.020000
Training Epoch: 9 [11008/48750]	Loss: 0.4309	LR: 0.020000
Training Epoch: 9 [11264/48750]	Loss: 0.4289	LR: 0.020000
Training Epoch: 9 [11520/48750]	Loss: 0.4345	LR: 0.020000
Training Epoch: 9 [11776/48750]	Loss: 0.4545	LR: 0.020000
Training Epoch: 9 [12032/48750]	Loss: 0.4306	LR: 0.020000
Training Epoch: 9 [12288/48750]	Loss: 0.3869	LR: 0.020000
Training Epoch: 9 [12544/48750]	Loss: 0.4632	LR: 0.020000
Training Epoch: 9 [12800/48750]	Loss: 0.4771	LR: 0.020000
Training Epoch: 9 [13056/48750]	Loss: 0.4126	LR: 0.020000
Training Epoch: 9 [13312/48750]	Loss: 0.4870	LR: 0.020000
Training Epoch: 9 [13568/48750]	Loss: 0.4398	LR: 0.020000
Training Epoch: 9 [13824/48750]	Loss: 0.3689	LR: 0.020000
Training Epoch: 9 [14080/48750]	Loss: 0.4681	LR: 0.020000
Training Epoch: 9 [14336/48750]	Loss: 0.4518	LR: 0.020000
Training Epoch: 9 [14592/48750]	Loss: 0.3503	LR: 0.020000
Training Epoch: 9 [14848/48750]	Loss: 0.3739	LR: 0.020000
Training Epoch: 9 [15104/48750]	Loss: 0.4313	LR: 0.020000
Training Epoch: 9 [15360/48750]	Loss: 0.4082	LR: 0.020000
Training Epoch: 9 [15616/48750]	Loss: 0.3850	LR: 0.020000
Training Epoch: 9 [15872/48750]	Loss: 0.3893	LR: 0.020000
Training Epoch: 9 [16128/48750]	Loss: 0.4303	LR: 0.020000
Training Epoch: 9 [16384/48750]	Loss: 0.4266	LR: 0.020000
Training Epoch: 9 [16640/48750]	Loss: 0.4267	LR: 0.020000
Training Epoch: 9 [16896/48750]	Loss: 0.3239	LR: 0.020000
Training Epoch: 9 [17152/48750]	Loss: 0.3395	LR: 0.020000
Training Epoch: 9 [17408/48750]	Loss: 0.3816	LR: 0.020000
Training Epoch: 9 [17664/48750]	Loss: 0.4177	LR: 0.020000
Training Epoch: 9 [17920/48750]	Loss: 0.4403	LR: 0.020000
Training Epoch: 9 [18176/48750]	Loss: 0.3626	LR: 0.020000
Training Epoch: 9 [18432/48750]	Loss: 0.3600	LR: 0.020000
Training Epoch: 9 [18688/48750]	Loss: 0.4216	LR: 0.020000
Training Epoch: 9 [18944/48750]	Loss: 0.4529	LR: 0.020000
Training Epoch: 9 [19200/48750]	Loss: 0.4224	LR: 0.020000
Training Epoch: 9 [19456/48750]	Loss: 0.3942	LR: 0.020000
Training Epoch: 9 [19712/48750]	Loss: 0.4380	LR: 0.020000
Training Epoch: 9 [19968/48750]	Loss: 0.3919	LR: 0.020000
Training Epoch: 9 [20224/48750]	Loss: 0.4303	LR: 0.020000
Training Epoch: 9 [20480/48750]	Loss: 0.5300	LR: 0.020000
Training Epoch: 9 [20736/48750]	Loss: 0.4551	LR: 0.020000
Training Epoch: 9 [20992/48750]	Loss: 0.3135	LR: 0.020000
Training Epoch: 9 [21248/48750]	Loss: 0.4939	LR: 0.020000
Training Epoch: 9 [21504/48750]	Loss: 0.3773	LR: 0.020000
Training Epoch: 9 [21760/48750]	Loss: 0.3938	LR: 0.020000
Training Epoch: 9 [22016/48750]	Loss: 0.3173	LR: 0.020000
Training Epoch: 9 [22272/48750]	Loss: 0.3459	LR: 0.020000
Training Epoch: 9 [22528/48750]	Loss: 0.3559	LR: 0.020000
Training Epoch: 9 [22784/48750]	Loss: 0.3390	LR: 0.020000
Training Epoch: 9 [23040/48750]	Loss: 0.3606	LR: 0.020000
Training Epoch: 9 [23296/48750]	Loss: 0.3817	LR: 0.020000
Training Epoch: 9 [23552/48750]	Loss: 0.3720	LR: 0.020000
Training Epoch: 9 [23808/48750]	Loss: 0.4084	LR: 0.020000
Training Epoch: 9 [24064/48750]	Loss: 0.3356	LR: 0.020000
Training Epoch: 9 [24320/48750]	Loss: 0.4242	LR: 0.020000
Training Epoch: 9 [24576/48750]	Loss: 0.3199	LR: 0.020000
Training Epoch: 9 [24832/48750]	Loss: 0.3948	LR: 0.020000
Training Epoch: 9 [25088/48750]	Loss: 0.3828	LR: 0.020000
Training Epoch: 9 [25344/48750]	Loss: 0.4135	LR: 0.020000
Training Epoch: 9 [25600/48750]	Loss: 0.4265	LR: 0.020000
Training Epoch: 9 [25856/48750]	Loss: 0.4566	LR: 0.020000
Training Epoch: 9 [26112/48750]	Loss: 0.3807	LR: 0.020000
Training Epoch: 9 [26368/48750]	Loss: 0.3292	LR: 0.020000
Training Epoch: 9 [26624/48750]	Loss: 0.3305	LR: 0.020000
Training Epoch: 9 [26880/48750]	Loss: 0.3270	LR: 0.020000
Training Epoch: 9 [27136/48750]	Loss: 0.4364	LR: 0.020000
Training Epoch: 9 [27392/48750]	Loss: 0.3532	LR: 0.020000
Training Epoch: 9 [27648/48750]	Loss: 0.4292	LR: 0.020000
Training Epoch: 9 [27904/48750]	Loss: 0.4659	LR: 0.020000
Training Epoch: 9 [28160/48750]	Loss: 0.3551	LR: 0.020000
Training Epoch: 9 [28416/48750]	Loss: 0.4534	LR: 0.020000
Training Epoch: 9 [28672/48750]	Loss: 0.3967	LR: 0.020000
Training Epoch: 9 [28928/48750]	Loss: 0.4407	LR: 0.020000
Training Epoch: 9 [29184/48750]	Loss: 0.4383	LR: 0.020000
Training Epoch: 9 [29440/48750]	Loss: 0.4816	LR: 0.020000
Training Epoch: 9 [29696/48750]	Loss: 0.4030	LR: 0.020000
Training Epoch: 9 [29952/48750]	Loss: 0.4650	LR: 0.020000
Training Epoch: 9 [30208/48750]	Loss: 0.4364	LR: 0.020000
Training Epoch: 9 [30464/48750]	Loss: 0.4044	LR: 0.020000
Training Epoch: 9 [30720/48750]	Loss: 0.3792	LR: 0.020000
Training Epoch: 9 [30976/48750]	Loss: 0.4089	LR: 0.020000
Training Epoch: 9 [31232/48750]	Loss: 0.3836	LR: 0.020000
Training Epoch: 9 [31488/48750]	Loss: 0.3313	LR: 0.020000
Training Epoch: 9 [31744/48750]	Loss: 0.4320	LR: 0.020000
Training Epoch: 9 [32000/48750]	Loss: 0.4025	LR: 0.020000
Training Epoch: 9 [32256/48750]	Loss: 0.3189	LR: 0.020000
Training Epoch: 9 [32512/48750]	Loss: 0.4079	LR: 0.020000
Training Epoch: 9 [32768/48750]	Loss: 0.4193	LR: 0.020000
Training Epoch: 9 [33024/48750]	Loss: 0.3491	LR: 0.020000
Training Epoch: 9 [33280/48750]	Loss: 0.3870	LR: 0.020000
Training Epoch: 9 [33536/48750]	Loss: 0.3832	LR: 0.020000
Training Epoch: 9 [33792/48750]	Loss: 0.3825	LR: 0.020000
Training Epoch: 9 [34048/48750]	Loss: 0.3569	LR: 0.020000
Training Epoch: 9 [34304/48750]	Loss: 0.4061	LR: 0.020000
Training Epoch: 9 [34560/48750]	Loss: 0.4533	LR: 0.020000
Training Epoch: 9 [34816/48750]	Loss: 0.3157	LR: 0.020000
Training Epoch: 9 [35072/48750]	Loss: 0.3099	LR: 0.020000
Training Epoch: 9 [35328/48750]	Loss: 0.3675	LR: 0.020000
Training Epoch: 9 [35584/48750]	Loss: 0.3595	LR: 0.020000
Training Epoch: 9 [35840/48750]	Loss: 0.3306	LR: 0.020000
Training Epoch: 9 [36096/48750]	Loss: 0.4267	LR: 0.020000
Training Epoch: 9 [36352/48750]	Loss: 0.4691	LR: 0.020000
Training Epoch: 9 [36608/48750]	Loss: 0.4256	LR: 0.020000
Training Epoch: 9 [36864/48750]	Loss: 0.3886	LR: 0.020000
Training Epoch: 9 [37120/48750]	Loss: 0.3719	LR: 0.020000
Training Epoch: 9 [37376/48750]	Loss: 0.4514	LR: 0.020000
Training Epoch: 9 [37632/48750]	Loss: 0.4319	LR: 0.020000
Training Epoch: 9 [37888/48750]	Loss: 0.3432	LR: 0.020000
Training Epoch: 9 [38144/48750]	Loss: 0.4213	LR: 0.020000
Training Epoch: 9 [38400/48750]	Loss: 0.4117	LR: 0.020000
Training Epoch: 9 [38656/48750]	Loss: 0.3120	LR: 0.020000
Training Epoch: 9 [38912/48750]	Loss: 0.3859	LR: 0.020000
Training Epoch: 9 [39168/48750]	Loss: 0.3537	LR: 0.020000
Training Epoch: 9 [39424/48750]	Loss: 0.4084	LR: 0.020000
Training Epoch: 9 [39680/48750]	Loss: 0.3311	LR: 0.020000
Training Epoch: 9 [39936/48750]	Loss: 0.4006	LR: 0.020000
Training Epoch: 9 [40192/48750]	Loss: 0.4008	LR: 0.020000
Training Epoch: 9 [40448/48750]	Loss: 0.4328	LR: 0.020000
Training Epoch: 9 [40704/48750]	Loss: 0.4148	LR: 0.020000
Training Epoch: 9 [40960/48750]	Loss: 0.3815	LR: 0.020000
Training Epoch: 9 [41216/48750]	Loss: 0.3989	LR: 0.020000
Training Epoch: 9 [41472/48750]	Loss: 0.3198	LR: 0.020000
Training Epoch: 9 [41728/48750]	Loss: 0.3023	LR: 0.020000
Training Epoch: 9 [41984/48750]	Loss: 0.4339	LR: 0.020000
Training Epoch: 9 [42240/48750]	Loss: 0.3811	LR: 0.020000
Training Epoch: 9 [42496/48750]	Loss: 0.4558	LR: 0.020000
Training Epoch: 9 [42752/48750]	Loss: 0.3049	LR: 0.020000
Training Epoch: 9 [43008/48750]	Loss: 0.3900	LR: 0.020000
Training Epoch: 9 [43264/48750]	Loss: 0.4009	LR: 0.020000
Training Epoch: 9 [43520/48750]	Loss: 0.4391	LR: 0.020000
Training Epoch: 9 [43776/48750]	Loss: 0.3893	LR: 0.020000
Training Epoch: 9 [44032/48750]	Loss: 0.3290	LR: 0.020000
Training Epoch: 9 [44288/48750]	Loss: 0.3805	LR: 0.020000
Training Epoch: 9 [44544/48750]	Loss: 0.5151	LR: 0.020000
Training Epoch: 9 [44800/48750]	Loss: 0.3886	LR: 0.020000
Training Epoch: 9 [45056/48750]	Loss: 0.4028	LR: 0.020000
Training Epoch: 9 [45312/48750]	Loss: 0.3218	LR: 0.020000
Training Epoch: 9 [45568/48750]	Loss: 0.2981	LR: 0.020000
Training Epoch: 9 [45824/48750]	Loss: 0.3376	LR: 0.020000
Training Epoch: 9 [46080/48750]	Loss: 0.3237	LR: 0.020000
Training Epoch: 9 [46336/48750]	Loss: 0.4164	LR: 0.020000
Training Epoch: 9 [46592/48750]	Loss: 0.3388	LR: 0.020000
Training Epoch: 9 [46848/48750]	Loss: 0.3779	LR: 0.020000
Training Epoch: 9 [47104/48750]	Loss: 0.3931	LR: 0.020000
Training Epoch: 9 [47360/48750]	Loss: 0.4647	LR: 0.020000
Training Epoch: 9 [47616/48750]	Loss: 0.4036	LR: 0.020000
Training Epoch: 9 [47872/48750]	Loss: 0.4617	LR: 0.020000
Training Epoch: 9 [48128/48750]	Loss: 0.3278	LR: 0.020000
Training Epoch: 9 [48384/48750]	Loss: 0.3452	LR: 0.020000
Training Epoch: 9 [48640/48750]	Loss: 0.5489	LR: 0.020000
Training Epoch: 9 [48750/48750]	Loss: 0.3643	LR: 0.020000
Epoch 9 - Average Train Loss: 0.3925, Train Accuracy: 0.8646
Epoch 9 training time consumed: 29.63s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0016, Accuracy: 0.8636, Time consumed:0.86s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_14h_23m_58s/ResNet18-Cifar10-seed1-ret75-9-best.pth
Training Epoch: 10 [256/48750]	Loss: 0.3599	LR: 0.020000
Training Epoch: 10 [512/48750]	Loss: 0.2967	LR: 0.020000
Training Epoch: 10 [768/48750]	Loss: 0.4115	LR: 0.020000
Training Epoch: 10 [1024/48750]	Loss: 0.3952	LR: 0.020000
Training Epoch: 10 [1280/48750]	Loss: 0.3761	LR: 0.020000
Training Epoch: 10 [1536/48750]	Loss: 0.3620	LR: 0.020000
Training Epoch: 10 [1792/48750]	Loss: 0.3981	LR: 0.020000
Training Epoch: 10 [2048/48750]	Loss: 0.4149	LR: 0.020000
Training Epoch: 10 [2304/48750]	Loss: 0.3534	LR: 0.020000
Training Epoch: 10 [2560/48750]	Loss: 0.3924	LR: 0.020000
Training Epoch: 10 [2816/48750]	Loss: 0.4097	LR: 0.020000
Training Epoch: 10 [3072/48750]	Loss: 0.3480	LR: 0.020000
Training Epoch: 10 [3328/48750]	Loss: 0.3796	LR: 0.020000
Training Epoch: 10 [3584/48750]	Loss: 0.3539	LR: 0.020000
Training Epoch: 10 [3840/48750]	Loss: 0.3133	LR: 0.020000
Training Epoch: 10 [4096/48750]	Loss: 0.5140	LR: 0.020000
Training Epoch: 10 [4352/48750]	Loss: 0.3001	LR: 0.020000
Training Epoch: 10 [4608/48750]	Loss: 0.4855	LR: 0.020000
Training Epoch: 10 [4864/48750]	Loss: 0.3635	LR: 0.020000
Training Epoch: 10 [5120/48750]	Loss: 0.3499	LR: 0.020000
Training Epoch: 10 [5376/48750]	Loss: 0.3315	LR: 0.020000
Training Epoch: 10 [5632/48750]	Loss: 0.3850	LR: 0.020000
Training Epoch: 10 [5888/48750]	Loss: 0.3568	LR: 0.020000
Training Epoch: 10 [6144/48750]	Loss: 0.3022	LR: 0.020000
Training Epoch: 10 [6400/48750]	Loss: 0.4264	LR: 0.020000
Training Epoch: 10 [6656/48750]	Loss: 0.3636	LR: 0.020000
Training Epoch: 10 [6912/48750]	Loss: 0.2899	LR: 0.020000
Training Epoch: 10 [7168/48750]	Loss: 0.4006	LR: 0.020000
Training Epoch: 10 [7424/48750]	Loss: 0.3696	LR: 0.020000
Training Epoch: 10 [7680/48750]	Loss: 0.3060	LR: 0.020000
Training Epoch: 10 [7936/48750]	Loss: 0.3638	LR: 0.020000
Training Epoch: 10 [8192/48750]	Loss: 0.3651	LR: 0.020000
Training Epoch: 10 [8448/48750]	Loss: 0.3254	LR: 0.020000
Training Epoch: 10 [8704/48750]	Loss: 0.3615	LR: 0.020000
Training Epoch: 10 [8960/48750]	Loss: 0.3475	LR: 0.020000
Training Epoch: 10 [9216/48750]	Loss: 0.3893	LR: 0.020000
Training Epoch: 10 [9472/48750]	Loss: 0.4003	LR: 0.020000
Training Epoch: 10 [9728/48750]	Loss: 0.3630	LR: 0.020000
Training Epoch: 10 [9984/48750]	Loss: 0.3366	LR: 0.020000
Training Epoch: 10 [10240/48750]	Loss: 0.3638	LR: 0.020000
Training Epoch: 10 [10496/48750]	Loss: 0.3274	LR: 0.020000
Training Epoch: 10 [10752/48750]	Loss: 0.3670	LR: 0.020000
Training Epoch: 10 [11008/48750]	Loss: 0.3039	LR: 0.020000
Training Epoch: 10 [11264/48750]	Loss: 0.3455	LR: 0.020000
Training Epoch: 10 [11520/48750]	Loss: 0.3677	LR: 0.020000
Training Epoch: 10 [11776/48750]	Loss: 0.4486	LR: 0.020000
Training Epoch: 10 [12032/48750]	Loss: 0.4366	LR: 0.020000
Training Epoch: 10 [12288/48750]	Loss: 0.3417	LR: 0.020000
Training Epoch: 10 [12544/48750]	Loss: 0.2924	LR: 0.020000
Training Epoch: 10 [12800/48750]	Loss: 0.3767	LR: 0.020000
Training Epoch: 10 [13056/48750]	Loss: 0.3590	LR: 0.020000
Training Epoch: 10 [13312/48750]	Loss: 0.4009	LR: 0.020000
Training Epoch: 10 [13568/48750]	Loss: 0.3003	LR: 0.020000
Training Epoch: 10 [13824/48750]	Loss: 0.3390	LR: 0.020000
Training Epoch: 10 [14080/48750]	Loss: 0.3296	LR: 0.020000
Training Epoch: 10 [14336/48750]	Loss: 0.3794	LR: 0.020000
Training Epoch: 10 [14592/48750]	Loss: 0.3971	LR: 0.020000
Training Epoch: 10 [14848/48750]	Loss: 0.3647	LR: 0.020000
Training Epoch: 10 [15104/48750]	Loss: 0.3983	LR: 0.020000
Training Epoch: 10 [15360/48750]	Loss: 0.3313	LR: 0.020000
Training Epoch: 10 [15616/48750]	Loss: 0.3054	LR: 0.020000
Training Epoch: 10 [15872/48750]	Loss: 0.3970	LR: 0.020000
Training Epoch: 10 [16128/48750]	Loss: 0.4437	LR: 0.020000
Training Epoch: 10 [16384/48750]	Loss: 0.3537	LR: 0.020000
Training Epoch: 10 [16640/48750]	Loss: 0.3644	LR: 0.020000
Training Epoch: 10 [16896/48750]	Loss: 0.4326	LR: 0.020000
Training Epoch: 10 [17152/48750]	Loss: 0.3487	LR: 0.020000
Training Epoch: 10 [17408/48750]	Loss: 0.3427	LR: 0.020000
Training Epoch: 10 [17664/48750]	Loss: 0.3879	LR: 0.020000
Training Epoch: 10 [17920/48750]	Loss: 0.4891	LR: 0.020000
Training Epoch: 10 [18176/48750]	Loss: 0.4186	LR: 0.020000
Training Epoch: 10 [18432/48750]	Loss: 0.3966	LR: 0.020000
Training Epoch: 10 [18688/48750]	Loss: 0.3704	LR: 0.020000
Training Epoch: 10 [18944/48750]	Loss: 0.3174	LR: 0.020000
Training Epoch: 10 [19200/48750]	Loss: 0.4556	LR: 0.020000
Training Epoch: 10 [19456/48750]	Loss: 0.3656	LR: 0.020000
Training Epoch: 10 [19712/48750]	Loss: 0.3524	LR: 0.020000
Training Epoch: 10 [19968/48750]	Loss: 0.4223	LR: 0.020000
Training Epoch: 10 [20224/48750]	Loss: 0.3362	LR: 0.020000
Training Epoch: 10 [20480/48750]	Loss: 0.4276	LR: 0.020000
Training Epoch: 10 [20736/48750]	Loss: 0.4156	LR: 0.020000
Training Epoch: 10 [20992/48750]	Loss: 0.4018	LR: 0.020000
Training Epoch: 10 [21248/48750]	Loss: 0.3697	LR: 0.020000
Training Epoch: 10 [21504/48750]	Loss: 0.3809	LR: 0.020000
Training Epoch: 10 [21760/48750]	Loss: 0.3885	LR: 0.020000
Training Epoch: 10 [22016/48750]	Loss: 0.3458	LR: 0.020000
Training Epoch: 10 [22272/48750]	Loss: 0.3518	LR: 0.020000
Training Epoch: 10 [22528/48750]	Loss: 0.2861	LR: 0.020000
Training Epoch: 10 [22784/48750]	Loss: 0.3694	LR: 0.020000
Training Epoch: 10 [23040/48750]	Loss: 0.3322	LR: 0.020000
Training Epoch: 10 [23296/48750]	Loss: 0.3883	LR: 0.020000
Training Epoch: 10 [23552/48750]	Loss: 0.3452	LR: 0.020000
Training Epoch: 10 [23808/48750]	Loss: 0.3463	LR: 0.020000
Training Epoch: 10 [24064/48750]	Loss: 0.2995	LR: 0.020000
Training Epoch: 10 [24320/48750]	Loss: 0.3731	LR: 0.020000
Training Epoch: 10 [24576/48750]	Loss: 0.3436	LR: 0.020000
Training Epoch: 10 [24832/48750]	Loss: 0.3303	LR: 0.020000
Training Epoch: 10 [25088/48750]	Loss: 0.4121	LR: 0.020000
Training Epoch: 10 [25344/48750]	Loss: 0.3818	LR: 0.020000
Training Epoch: 10 [25600/48750]	Loss: 0.3400	LR: 0.020000
Training Epoch: 10 [25856/48750]	Loss: 0.4125	LR: 0.020000
Training Epoch: 10 [26112/48750]	Loss: 0.3762	LR: 0.020000
Training Epoch: 10 [26368/48750]	Loss: 0.3979	LR: 0.020000
Training Epoch: 10 [26624/48750]	Loss: 0.4009	LR: 0.020000
Training Epoch: 10 [26880/48750]	Loss: 0.3832	LR: 0.020000
Training Epoch: 10 [27136/48750]	Loss: 0.4135	LR: 0.020000
Training Epoch: 10 [27392/48750]	Loss: 0.3693	LR: 0.020000
Training Epoch: 10 [27648/48750]	Loss: 0.3215	LR: 0.020000
Training Epoch: 10 [27904/48750]	Loss: 0.4452	LR: 0.020000
Training Epoch: 10 [28160/48750]	Loss: 0.4306	LR: 0.020000
Training Epoch: 10 [28416/48750]	Loss: 0.3972	LR: 0.020000
Training Epoch: 10 [28672/48750]	Loss: 0.3269	LR: 0.020000
Training Epoch: 10 [28928/48750]	Loss: 0.3095	LR: 0.020000
Training Epoch: 10 [29184/48750]	Loss: 0.3972	LR: 0.020000
Training Epoch: 10 [29440/48750]	Loss: 0.3491	LR: 0.020000
Training Epoch: 10 [29696/48750]	Loss: 0.3755	LR: 0.020000
Training Epoch: 10 [29952/48750]	Loss: 0.4177	LR: 0.020000
Training Epoch: 10 [30208/48750]	Loss: 0.4570	LR: 0.020000
Training Epoch: 10 [30464/48750]	Loss: 0.4075	LR: 0.020000
Training Epoch: 10 [30720/48750]	Loss: 0.4156	LR: 0.020000
Training Epoch: 10 [30976/48750]	Loss: 0.3659	LR: 0.020000
Training Epoch: 10 [31232/48750]	Loss: 0.3797	LR: 0.020000
Training Epoch: 10 [31488/48750]	Loss: 0.3919	LR: 0.020000
Training Epoch: 10 [31744/48750]	Loss: 0.4594	LR: 0.020000
Training Epoch: 10 [32000/48750]	Loss: 0.3973	LR: 0.020000
Training Epoch: 10 [32256/48750]	Loss: 0.3008	LR: 0.020000
Training Epoch: 10 [32512/48750]	Loss: 0.3535	LR: 0.020000
Training Epoch: 10 [32768/48750]	Loss: 0.2994	LR: 0.020000
Training Epoch: 10 [33024/48750]	Loss: 0.3518	LR: 0.020000
Training Epoch: 10 [33280/48750]	Loss: 0.3942	LR: 0.020000
Training Epoch: 10 [33536/48750]	Loss: 0.3486	LR: 0.020000
Training Epoch: 10 [33792/48750]	Loss: 0.2720	LR: 0.020000
Training Epoch: 10 [34048/48750]	Loss: 0.3361	LR: 0.020000
Training Epoch: 10 [34304/48750]	Loss: 0.3273	LR: 0.020000
Training Epoch: 10 [34560/48750]	Loss: 0.3326	LR: 0.020000
Training Epoch: 10 [34816/48750]	Loss: 0.3750	LR: 0.020000
Training Epoch: 10 [35072/48750]	Loss: 0.4089	LR: 0.020000
Training Epoch: 10 [35328/48750]	Loss: 0.3411	LR: 0.020000
Training Epoch: 10 [35584/48750]	Loss: 0.2962	LR: 0.020000
Training Epoch: 10 [35840/48750]	Loss: 0.3252	LR: 0.020000
Training Epoch: 10 [36096/48750]	Loss: 0.4240	LR: 0.020000
Training Epoch: 10 [36352/48750]	Loss: 0.3035	LR: 0.020000
Training Epoch: 10 [36608/48750]	Loss: 0.3813	LR: 0.020000
Training Epoch: 10 [36864/48750]	Loss: 0.4332	LR: 0.020000
Training Epoch: 10 [37120/48750]	Loss: 0.2715	LR: 0.020000
Training Epoch: 10 [37376/48750]	Loss: 0.4744	LR: 0.020000
Training Epoch: 10 [37632/48750]	Loss: 0.3446	LR: 0.020000
Training Epoch: 10 [37888/48750]	Loss: 0.3449	LR: 0.020000
Training Epoch: 10 [38144/48750]	Loss: 0.4314	LR: 0.020000
Training Epoch: 10 [38400/48750]	Loss: 0.3488	LR: 0.020000
Training Epoch: 10 [38656/48750]	Loss: 0.4110	LR: 0.020000
Training Epoch: 10 [38912/48750]	Loss: 0.4699	LR: 0.020000
Training Epoch: 10 [39168/48750]	Loss: 0.3769	LR: 0.020000
Training Epoch: 10 [39424/48750]	Loss: 0.3837	LR: 0.020000
Training Epoch: 10 [39680/48750]	Loss: 0.4389	LR: 0.020000
Training Epoch: 10 [39936/48750]	Loss: 0.3370	LR: 0.020000
Training Epoch: 10 [40192/48750]	Loss: 0.3855	LR: 0.020000
Training Epoch: 10 [40448/48750]	Loss: 0.3601	LR: 0.020000
Training Epoch: 10 [40704/48750]	Loss: 0.2780	LR: 0.020000
Training Epoch: 10 [40960/48750]	Loss: 0.4671	LR: 0.020000
Training Epoch: 10 [41216/48750]	Loss: 0.3696	LR: 0.020000
Training Epoch: 10 [41472/48750]	Loss: 0.3646	LR: 0.020000
Training Epoch: 10 [41728/48750]	Loss: 0.3647	LR: 0.020000
Training Epoch: 10 [41984/48750]	Loss: 0.4061	LR: 0.020000
Training Epoch: 10 [42240/48750]	Loss: 0.3399	LR: 0.020000
Training Epoch: 10 [42496/48750]	Loss: 0.3647	LR: 0.020000
Training Epoch: 10 [42752/48750]	Loss: 0.3977	LR: 0.020000
Training Epoch: 10 [43008/48750]	Loss: 0.3498	LR: 0.020000
Training Epoch: 10 [43264/48750]	Loss: 0.3434	LR: 0.020000
Training Epoch: 10 [43520/48750]	Loss: 0.3519	LR: 0.020000
Training Epoch: 10 [43776/48750]	Loss: 0.4201	LR: 0.020000
Training Epoch: 10 [44032/48750]	Loss: 0.3909	LR: 0.020000
Training Epoch: 10 [44288/48750]	Loss: 0.3711	LR: 0.020000
Training Epoch: 10 [44544/48750]	Loss: 0.3411	LR: 0.020000
Training Epoch: 10 [44800/48750]	Loss: 0.3322	LR: 0.020000
Training Epoch: 10 [45056/48750]	Loss: 0.4160	LR: 0.020000
Training Epoch: 10 [45312/48750]	Loss: 0.4277	LR: 0.020000
Training Epoch: 10 [45568/48750]	Loss: 0.4153	LR: 0.020000
Training Epoch: 10 [45824/48750]	Loss: 0.3297	LR: 0.020000
Training Epoch: 10 [46080/48750]	Loss: 0.3851	LR: 0.020000
Training Epoch: 10 [46336/48750]	Loss: 0.3692	LR: 0.020000
Training Epoch: 10 [46592/48750]	Loss: 0.4323	LR: 0.020000
Training Epoch: 10 [46848/48750]	Loss: 0.4290	LR: 0.020000
Training Epoch: 10 [47104/48750]	Loss: 0.4528	LR: 0.020000
Training Epoch: 10 [47360/48750]	Loss: 0.4743	LR: 0.020000
Training Epoch: 10 [47616/48750]	Loss: 0.3329	LR: 0.020000
Training Epoch: 10 [47872/48750]	Loss: 0.3861	LR: 0.020000
Training Epoch: 10 [48128/48750]	Loss: 0.2889	LR: 0.020000
Training Epoch: 10 [48384/48750]	Loss: 0.3680	LR: 0.020000
Training Epoch: 10 [48640/48750]	Loss: 0.3327	LR: 0.020000
Training Epoch: 10 [48750/48750]	Loss: 0.2992	LR: 0.020000
Epoch 10 - Average Train Loss: 0.3721, Train Accuracy: 0.8689
Epoch 10 training time consumed: 29.35s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0016, Accuracy: 0.8679, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_14h_23m_58s/ResNet18-Cifar10-seed1-ret75-10-best.pth
Training Epoch: 11 [256/48750]	Loss: 0.3167	LR: 0.020000
Training Epoch: 11 [512/48750]	Loss: 0.3562	LR: 0.020000
Training Epoch: 11 [768/48750]	Loss: 0.2813	LR: 0.020000
Training Epoch: 11 [1024/48750]	Loss: 0.3340	LR: 0.020000
Training Epoch: 11 [1280/48750]	Loss: 0.3621	LR: 0.020000
Training Epoch: 11 [1536/48750]	Loss: 0.3166	LR: 0.020000
Training Epoch: 11 [1792/48750]	Loss: 0.3433	LR: 0.020000
Training Epoch: 11 [2048/48750]	Loss: 0.3165	LR: 0.020000
Training Epoch: 11 [2304/48750]	Loss: 0.3162	LR: 0.020000
Training Epoch: 11 [2560/48750]	Loss: 0.4842	LR: 0.020000
Training Epoch: 11 [2816/48750]	Loss: 0.4019	LR: 0.020000
Training Epoch: 11 [3072/48750]	Loss: 0.3644	LR: 0.020000
Training Epoch: 11 [3328/48750]	Loss: 0.3269	LR: 0.020000
Training Epoch: 11 [3584/48750]	Loss: 0.2210	LR: 0.020000
Training Epoch: 11 [3840/48750]	Loss: 0.3236	LR: 0.020000
Training Epoch: 11 [4096/48750]	Loss: 0.2754	LR: 0.020000
Training Epoch: 11 [4352/48750]	Loss: 0.3267	LR: 0.020000
Training Epoch: 11 [4608/48750]	Loss: 0.4357	LR: 0.020000
Training Epoch: 11 [4864/48750]	Loss: 0.3820	LR: 0.020000
Training Epoch: 11 [5120/48750]	Loss: 0.3531	LR: 0.020000
Training Epoch: 11 [5376/48750]	Loss: 0.4237	LR: 0.020000
Training Epoch: 11 [5632/48750]	Loss: 0.2743	LR: 0.020000
Training Epoch: 11 [5888/48750]	Loss: 0.4209	LR: 0.020000
Training Epoch: 11 [6144/48750]	Loss: 0.3491	LR: 0.020000
Training Epoch: 11 [6400/48750]	Loss: 0.3962	LR: 0.020000
Training Epoch: 11 [6656/48750]	Loss: 0.3297	LR: 0.020000
Training Epoch: 11 [6912/48750]	Loss: 0.3773	LR: 0.020000
Training Epoch: 11 [7168/48750]	Loss: 0.2894	LR: 0.020000
Training Epoch: 11 [7424/48750]	Loss: 0.4307	LR: 0.020000
Training Epoch: 11 [7680/48750]	Loss: 0.3019	LR: 0.020000
Training Epoch: 11 [7936/48750]	Loss: 0.3229	LR: 0.020000
Training Epoch: 11 [8192/48750]	Loss: 0.2555	LR: 0.020000
Training Epoch: 11 [8448/48750]	Loss: 0.3669	LR: 0.020000
Training Epoch: 11 [8704/48750]	Loss: 0.4117	LR: 0.020000
Training Epoch: 11 [8960/48750]	Loss: 0.2861	LR: 0.020000
Training Epoch: 11 [9216/48750]	Loss: 0.3278	LR: 0.020000
Training Epoch: 11 [9472/48750]	Loss: 0.3781	LR: 0.020000
Training Epoch: 11 [9728/48750]	Loss: 0.3408	LR: 0.020000
Training Epoch: 11 [9984/48750]	Loss: 0.4048	LR: 0.020000
Training Epoch: 11 [10240/48750]	Loss: 0.3491	LR: 0.020000
Training Epoch: 11 [10496/48750]	Loss: 0.2754	LR: 0.020000
Training Epoch: 11 [10752/48750]	Loss: 0.2573	LR: 0.020000
Training Epoch: 11 [11008/48750]	Loss: 0.3204	LR: 0.020000
Training Epoch: 11 [11264/48750]	Loss: 0.3719	LR: 0.020000
Training Epoch: 11 [11520/48750]	Loss: 0.3421	LR: 0.020000
Training Epoch: 11 [11776/48750]	Loss: 0.3379	LR: 0.020000
Training Epoch: 11 [12032/48750]	Loss: 0.3276	LR: 0.020000
Training Epoch: 11 [12288/48750]	Loss: 0.3489	LR: 0.020000
Training Epoch: 11 [12544/48750]	Loss: 0.4592	LR: 0.020000
Training Epoch: 11 [12800/48750]	Loss: 0.4664	LR: 0.020000
Training Epoch: 11 [13056/48750]	Loss: 0.4192	LR: 0.020000
Training Epoch: 11 [13312/48750]	Loss: 0.4214	LR: 0.020000
Training Epoch: 11 [13568/48750]	Loss: 0.3388	LR: 0.020000
Training Epoch: 11 [13824/48750]	Loss: 0.3409	LR: 0.020000
Training Epoch: 11 [14080/48750]	Loss: 0.3367	LR: 0.020000
Training Epoch: 11 [14336/48750]	Loss: 0.3506	LR: 0.020000
Training Epoch: 11 [14592/48750]	Loss: 0.3478	LR: 0.020000
Training Epoch: 11 [14848/48750]	Loss: 0.3801	LR: 0.020000
Training Epoch: 11 [15104/48750]	Loss: 0.3735	LR: 0.020000
Training Epoch: 11 [15360/48750]	Loss: 0.3680	LR: 0.020000
Training Epoch: 11 [15616/48750]	Loss: 0.3448	LR: 0.020000
Training Epoch: 11 [15872/48750]	Loss: 0.2927	LR: 0.020000
Training Epoch: 11 [16128/48750]	Loss: 0.3942	LR: 0.020000
Training Epoch: 11 [16384/48750]	Loss: 0.3662	LR: 0.020000
Training Epoch: 11 [16640/48750]	Loss: 0.3880	LR: 0.020000
Training Epoch: 11 [16896/48750]	Loss: 0.3240	LR: 0.020000
Training Epoch: 11 [17152/48750]	Loss: 0.2971	LR: 0.020000
Training Epoch: 11 [17408/48750]	Loss: 0.2935	LR: 0.020000
Training Epoch: 11 [17664/48750]	Loss: 0.3813	LR: 0.020000
Training Epoch: 11 [17920/48750]	Loss: 0.2895	LR: 0.020000
Training Epoch: 11 [18176/48750]	Loss: 0.3249	LR: 0.020000
Training Epoch: 11 [18432/48750]	Loss: 0.3542	LR: 0.020000
Training Epoch: 11 [18688/48750]	Loss: 0.3017	LR: 0.020000
Training Epoch: 11 [18944/48750]	Loss: 0.3833	LR: 0.020000
Training Epoch: 11 [19200/48750]	Loss: 0.3604	LR: 0.020000
Training Epoch: 11 [19456/48750]	Loss: 0.3868	LR: 0.020000
Training Epoch: 11 [19712/48750]	Loss: 0.3364	LR: 0.020000
Training Epoch: 11 [19968/48750]	Loss: 0.3492	LR: 0.020000
Training Epoch: 11 [20224/48750]	Loss: 0.3411	LR: 0.020000
Training Epoch: 11 [20480/48750]	Loss: 0.3382	LR: 0.020000
Training Epoch: 11 [20736/48750]	Loss: 0.3107	LR: 0.020000
Training Epoch: 11 [20992/48750]	Loss: 0.3291	LR: 0.020000
Training Epoch: 11 [21248/48750]	Loss: 0.3864	LR: 0.020000
Training Epoch: 11 [21504/48750]	Loss: 0.3676	LR: 0.020000
Training Epoch: 11 [21760/48750]	Loss: 0.3447	LR: 0.020000
Training Epoch: 11 [22016/48750]	Loss: 0.3966	LR: 0.020000
Training Epoch: 11 [22272/48750]	Loss: 0.3463	LR: 0.020000
Training Epoch: 11 [22528/48750]	Loss: 0.3988	LR: 0.020000
Training Epoch: 11 [22784/48750]	Loss: 0.4106	LR: 0.020000
Training Epoch: 11 [23040/48750]	Loss: 0.3676	LR: 0.020000
Training Epoch: 11 [23296/48750]	Loss: 0.4078	LR: 0.020000
Training Epoch: 11 [23552/48750]	Loss: 0.3755	LR: 0.020000
Training Epoch: 11 [23808/48750]	Loss: 0.3273	LR: 0.020000
Training Epoch: 11 [24064/48750]	Loss: 0.4022	LR: 0.020000
Training Epoch: 11 [24320/48750]	Loss: 0.3175	LR: 0.020000
Training Epoch: 11 [24576/48750]	Loss: 0.4113	LR: 0.020000
Training Epoch: 11 [24832/48750]	Loss: 0.3933	LR: 0.020000
Training Epoch: 11 [25088/48750]	Loss: 0.3653	LR: 0.020000
Training Epoch: 11 [25344/48750]	Loss: 0.3465	LR: 0.020000
Training Epoch: 11 [25600/48750]	Loss: 0.4445	LR: 0.020000
Training Epoch: 11 [25856/48750]	Loss: 0.3280	LR: 0.020000
Training Epoch: 11 [26112/48750]	Loss: 0.3241	LR: 0.020000
Training Epoch: 11 [26368/48750]	Loss: 0.2906	LR: 0.020000
Training Epoch: 11 [26624/48750]	Loss: 0.3071	LR: 0.020000
Training Epoch: 11 [26880/48750]	Loss: 0.3014	LR: 0.020000
Training Epoch: 11 [27136/48750]	Loss: 0.3533	LR: 0.020000
Training Epoch: 11 [27392/48750]	Loss: 0.3467	LR: 0.020000
Training Epoch: 11 [27648/48750]	Loss: 0.2920	LR: 0.020000
Training Epoch: 11 [27904/48750]	Loss: 0.3072	LR: 0.020000
Training Epoch: 11 [28160/48750]	Loss: 0.2947	LR: 0.020000
Training Epoch: 11 [28416/48750]	Loss: 0.3847	LR: 0.020000
Training Epoch: 11 [28672/48750]	Loss: 0.4013	LR: 0.020000
Training Epoch: 11 [28928/48750]	Loss: 0.4027	LR: 0.020000
Training Epoch: 11 [29184/48750]	Loss: 0.3755	LR: 0.020000
Training Epoch: 11 [29440/48750]	Loss: 0.3513	LR: 0.020000
Training Epoch: 11 [29696/48750]	Loss: 0.3857	LR: 0.020000
Training Epoch: 11 [29952/48750]	Loss: 0.3697	LR: 0.020000
Training Epoch: 11 [30208/48750]	Loss: 0.4121	LR: 0.020000
Training Epoch: 11 [30464/48750]	Loss: 0.3140	LR: 0.020000
Training Epoch: 11 [30720/48750]	Loss: 0.4137	LR: 0.020000
Training Epoch: 11 [30976/48750]	Loss: 0.3231	LR: 0.020000
Training Epoch: 11 [31232/48750]	Loss: 0.3332	LR: 0.020000
Training Epoch: 11 [31488/48750]	Loss: 0.3543	LR: 0.020000
Training Epoch: 11 [31744/48750]	Loss: 0.3418	LR: 0.020000
Training Epoch: 11 [32000/48750]	Loss: 0.2872	LR: 0.020000
Training Epoch: 11 [32256/48750]	Loss: 0.4335	LR: 0.020000
Training Epoch: 11 [32512/48750]	Loss: 0.3674	LR: 0.020000
Training Epoch: 11 [32768/48750]	Loss: 0.3499	LR: 0.020000
Training Epoch: 11 [33024/48750]	Loss: 0.3514	LR: 0.020000
Training Epoch: 11 [33280/48750]	Loss: 0.4229	LR: 0.020000
Training Epoch: 11 [33536/48750]	Loss: 0.4060	LR: 0.020000
Training Epoch: 11 [33792/48750]	Loss: 0.3231	LR: 0.020000
Training Epoch: 11 [34048/48750]	Loss: 0.3748	LR: 0.020000
Training Epoch: 11 [34304/48750]	Loss: 0.4170	LR: 0.020000
Training Epoch: 11 [34560/48750]	Loss: 0.3076	LR: 0.020000
Training Epoch: 11 [34816/48750]	Loss: 0.3317	LR: 0.020000
Training Epoch: 11 [35072/48750]	Loss: 0.4782	LR: 0.020000
Training Epoch: 11 [35328/48750]	Loss: 0.4173	LR: 0.020000
Training Epoch: 11 [35584/48750]	Loss: 0.3264	LR: 0.020000
Training Epoch: 11 [35840/48750]	Loss: 0.3343	LR: 0.020000
Training Epoch: 11 [36096/48750]	Loss: 0.3815	LR: 0.020000
Training Epoch: 11 [36352/48750]	Loss: 0.3801	LR: 0.020000
Training Epoch: 11 [36608/48750]	Loss: 0.3470	LR: 0.020000
Training Epoch: 11 [36864/48750]	Loss: 0.3568	LR: 0.020000
Training Epoch: 11 [37120/48750]	Loss: 0.3476	LR: 0.020000
Training Epoch: 11 [37376/48750]	Loss: 0.2929	LR: 0.020000
Training Epoch: 11 [37632/48750]	Loss: 0.3147	LR: 0.020000
Training Epoch: 11 [37888/48750]	Loss: 0.4418	LR: 0.020000
Training Epoch: 11 [38144/48750]	Loss: 0.3148	LR: 0.020000
Training Epoch: 11 [38400/48750]	Loss: 0.3180	LR: 0.020000
Training Epoch: 11 [38656/48750]	Loss: 0.3679	LR: 0.020000
Training Epoch: 11 [38912/48750]	Loss: 0.3109	LR: 0.020000
Training Epoch: 11 [39168/48750]	Loss: 0.3337	LR: 0.020000
Training Epoch: 11 [39424/48750]	Loss: 0.3751	LR: 0.020000
Training Epoch: 11 [39680/48750]	Loss: 0.4453	LR: 0.020000
Training Epoch: 11 [39936/48750]	Loss: 0.4103	LR: 0.020000
Training Epoch: 11 [40192/48750]	Loss: 0.3762	LR: 0.020000
Training Epoch: 11 [40448/48750]	Loss: 0.3944	LR: 0.020000
Training Epoch: 11 [40704/48750]	Loss: 0.3836	LR: 0.020000
Training Epoch: 11 [40960/48750]	Loss: 0.3304	LR: 0.020000
Training Epoch: 11 [41216/48750]	Loss: 0.4692	LR: 0.020000
Training Epoch: 11 [41472/48750]	Loss: 0.4244	LR: 0.020000
Training Epoch: 11 [41728/48750]	Loss: 0.2920	LR: 0.020000
Training Epoch: 11 [41984/48750]	Loss: 0.3619	LR: 0.020000
Training Epoch: 11 [42240/48750]	Loss: 0.3365	LR: 0.020000
Training Epoch: 11 [42496/48750]	Loss: 0.3742	LR: 0.020000
Training Epoch: 11 [42752/48750]	Loss: 0.2898	LR: 0.020000
Training Epoch: 11 [43008/48750]	Loss: 0.2859	LR: 0.020000
Training Epoch: 11 [43264/48750]	Loss: 0.3090	LR: 0.020000
Training Epoch: 11 [43520/48750]	Loss: 0.2993	LR: 0.020000
Training Epoch: 11 [43776/48750]	Loss: 0.3416	LR: 0.020000
Training Epoch: 11 [44032/48750]	Loss: 0.3229	LR: 0.020000
Training Epoch: 11 [44288/48750]	Loss: 0.2965	LR: 0.020000
Training Epoch: 11 [44544/48750]	Loss: 0.3258	LR: 0.020000
Training Epoch: 11 [44800/48750]	Loss: 0.4284	LR: 0.020000
Training Epoch: 11 [45056/48750]	Loss: 0.2965	LR: 0.020000
Training Epoch: 11 [45312/48750]	Loss: 0.3766	LR: 0.020000
Training Epoch: 11 [45568/48750]	Loss: 0.2876	LR: 0.020000
Training Epoch: 11 [45824/48750]	Loss: 0.4014	LR: 0.020000
Training Epoch: 11 [46080/48750]	Loss: 0.4009	LR: 0.020000
Training Epoch: 11 [46336/48750]	Loss: 0.3096	LR: 0.020000
Training Epoch: 11 [46592/48750]	Loss: 0.3438	LR: 0.020000
Training Epoch: 11 [46848/48750]	Loss: 0.2993	LR: 0.020000
Training Epoch: 11 [47104/48750]	Loss: 0.3652	LR: 0.020000
Training Epoch: 11 [47360/48750]	Loss: 0.3246	LR: 0.020000
Training Epoch: 11 [47616/48750]	Loss: 0.3535	LR: 0.020000
Training Epoch: 11 [47872/48750]	Loss: 0.4157	LR: 0.020000
Training Epoch: 11 [48128/48750]	Loss: 0.2757	LR: 0.020000
Training Epoch: 11 [48384/48750]	Loss: 0.3722	LR: 0.020000
Training Epoch: 11 [48640/48750]	Loss: 0.3237	LR: 0.020000
Training Epoch: 11 [48750/48750]	Loss: 0.3514	LR: 0.020000
Epoch 11 - Average Train Loss: 0.3533, Train Accuracy: 0.8771
Epoch 11 training time consumed: 29.18s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0016, Accuracy: 0.8633, Time consumed:0.86s
Training Epoch: 12 [256/48750]	Loss: 0.3856	LR: 0.004000
Training Epoch: 12 [512/48750]	Loss: 0.3111	LR: 0.004000
Training Epoch: 12 [768/48750]	Loss: 0.3359	LR: 0.004000
Training Epoch: 12 [1024/48750]	Loss: 0.2771	LR: 0.004000
Training Epoch: 12 [1280/48750]	Loss: 0.2668	LR: 0.004000
Training Epoch: 12 [1536/48750]	Loss: 0.1967	LR: 0.004000
Training Epoch: 12 [1792/48750]	Loss: 0.3296	LR: 0.004000
Training Epoch: 12 [2048/48750]	Loss: 0.2965	LR: 0.004000
Training Epoch: 12 [2304/48750]	Loss: 0.3678	LR: 0.004000
Training Epoch: 12 [2560/48750]	Loss: 0.3347	LR: 0.004000
Training Epoch: 12 [2816/48750]	Loss: 0.3267	LR: 0.004000
Training Epoch: 12 [3072/48750]	Loss: 0.2966	LR: 0.004000
Training Epoch: 12 [3328/48750]	Loss: 0.4399	LR: 0.004000
Training Epoch: 12 [3584/48750]	Loss: 0.3183	LR: 0.004000
Training Epoch: 12 [3840/48750]	Loss: 0.2639	LR: 0.004000
Training Epoch: 12 [4096/48750]	Loss: 0.4137	LR: 0.004000
Training Epoch: 12 [4352/48750]	Loss: 0.2294	LR: 0.004000
Training Epoch: 12 [4608/48750]	Loss: 0.3805	LR: 0.004000
Training Epoch: 12 [4864/48750]	Loss: 0.3842	LR: 0.004000
Training Epoch: 12 [5120/48750]	Loss: 0.2856	LR: 0.004000
Training Epoch: 12 [5376/48750]	Loss: 0.2958	LR: 0.004000
Training Epoch: 12 [5632/48750]	Loss: 0.4457	LR: 0.004000
Training Epoch: 12 [5888/48750]	Loss: 0.3481	LR: 0.004000
Training Epoch: 12 [6144/48750]	Loss: 0.3431	LR: 0.004000
Training Epoch: 12 [6400/48750]	Loss: 0.3857	LR: 0.004000
Training Epoch: 12 [6656/48750]	Loss: 0.2785	LR: 0.004000
Training Epoch: 12 [6912/48750]	Loss: 0.3831	LR: 0.004000
Training Epoch: 12 [7168/48750]	Loss: 0.2862	LR: 0.004000
Training Epoch: 12 [7424/48750]	Loss: 0.3023	LR: 0.004000
Training Epoch: 12 [7680/48750]	Loss: 0.2817	LR: 0.004000
Training Epoch: 12 [7936/48750]	Loss: 0.3328	LR: 0.004000
Training Epoch: 12 [8192/48750]	Loss: 0.3242	LR: 0.004000
Training Epoch: 12 [8448/48750]	Loss: 0.3539	LR: 0.004000
Training Epoch: 12 [8704/48750]	Loss: 0.3722	LR: 0.004000
Training Epoch: 12 [8960/48750]	Loss: 0.3617	LR: 0.004000
Training Epoch: 12 [9216/48750]	Loss: 0.3111	LR: 0.004000
Training Epoch: 12 [9472/48750]	Loss: 0.3371	LR: 0.004000
Training Epoch: 12 [9728/48750]	Loss: 0.3230	LR: 0.004000
Training Epoch: 12 [9984/48750]	Loss: 0.3627	LR: 0.004000
Training Epoch: 12 [10240/48750]	Loss: 0.2429	LR: 0.004000
Training Epoch: 12 [10496/48750]	Loss: 0.2862	LR: 0.004000
Training Epoch: 12 [10752/48750]	Loss: 0.3139	LR: 0.004000
Training Epoch: 12 [11008/48750]	Loss: 0.3425	LR: 0.004000
Training Epoch: 12 [11264/48750]	Loss: 0.3895	LR: 0.004000
Training Epoch: 12 [11520/48750]	Loss: 0.3553	LR: 0.004000
Training Epoch: 12 [11776/48750]	Loss: 0.3105	LR: 0.004000
Training Epoch: 12 [12032/48750]	Loss: 0.3759	LR: 0.004000
Training Epoch: 12 [12288/48750]	Loss: 0.3205	LR: 0.004000
Training Epoch: 12 [12544/48750]	Loss: 0.3099	LR: 0.004000
Training Epoch: 12 [12800/48750]	Loss: 0.3005	LR: 0.004000
Training Epoch: 12 [13056/48750]	Loss: 0.2923	LR: 0.004000
Training Epoch: 12 [13312/48750]	Loss: 0.2664	LR: 0.004000
Training Epoch: 12 [13568/48750]	Loss: 0.3146	LR: 0.004000
Training Epoch: 12 [13824/48750]	Loss: 0.2527	LR: 0.004000
Training Epoch: 12 [14080/48750]	Loss: 0.3597	LR: 0.004000
Training Epoch: 12 [14336/48750]	Loss: 0.3025	LR: 0.004000
Training Epoch: 12 [14592/48750]	Loss: 0.3172	LR: 0.004000
Training Epoch: 12 [14848/48750]	Loss: 0.3311	LR: 0.004000
Training Epoch: 12 [15104/48750]	Loss: 0.3732	LR: 0.004000
Training Epoch: 12 [15360/48750]	Loss: 0.3210	LR: 0.004000
Training Epoch: 12 [15616/48750]	Loss: 0.3236	LR: 0.004000
Training Epoch: 12 [15872/48750]	Loss: 0.3180	LR: 0.004000
Training Epoch: 12 [16128/48750]	Loss: 0.3710	LR: 0.004000
Training Epoch: 12 [16384/48750]	Loss: 0.3176	LR: 0.004000
Training Epoch: 12 [16640/48750]	Loss: 0.2804	LR: 0.004000
Training Epoch: 12 [16896/48750]	Loss: 0.2784	LR: 0.004000
Training Epoch: 12 [17152/48750]	Loss: 0.2058	LR: 0.004000
Training Epoch: 12 [17408/48750]	Loss: 0.2992	LR: 0.004000
Training Epoch: 12 [17664/48750]	Loss: 0.2475	LR: 0.004000
Training Epoch: 12 [17920/48750]	Loss: 0.3659	LR: 0.004000
Training Epoch: 12 [18176/48750]	Loss: 0.3924	LR: 0.004000
Training Epoch: 12 [18432/48750]	Loss: 0.2619	LR: 0.004000
Training Epoch: 12 [18688/48750]	Loss: 0.3146	LR: 0.004000
Training Epoch: 12 [18944/48750]	Loss: 0.3096	LR: 0.004000
Training Epoch: 12 [19200/48750]	Loss: 0.3255	LR: 0.004000
Training Epoch: 12 [19456/48750]	Loss: 0.2993	LR: 0.004000
Training Epoch: 12 [19712/48750]	Loss: 0.3669	LR: 0.004000
Training Epoch: 12 [19968/48750]	Loss: 0.2529	LR: 0.004000
Training Epoch: 12 [20224/48750]	Loss: 0.3441	LR: 0.004000
Training Epoch: 12 [20480/48750]	Loss: 0.3043	LR: 0.004000
Training Epoch: 12 [20736/48750]	Loss: 0.3261	LR: 0.004000
Training Epoch: 12 [20992/48750]	Loss: 0.2510	LR: 0.004000
Training Epoch: 12 [21248/48750]	Loss: 0.2071	LR: 0.004000
Training Epoch: 12 [21504/48750]	Loss: 0.3463	LR: 0.004000
Training Epoch: 12 [21760/48750]	Loss: 0.2304	LR: 0.004000
Training Epoch: 12 [22016/48750]	Loss: 0.3424	LR: 0.004000
Training Epoch: 12 [22272/48750]	Loss: 0.3177	LR: 0.004000
Training Epoch: 12 [22528/48750]	Loss: 0.2488	LR: 0.004000
Training Epoch: 12 [22784/48750]	Loss: 0.2532	LR: 0.004000
Training Epoch: 12 [23040/48750]	Loss: 0.2587	LR: 0.004000
Training Epoch: 12 [23296/48750]	Loss: 0.3377	LR: 0.004000
Training Epoch: 12 [23552/48750]	Loss: 0.3163	LR: 0.004000
Training Epoch: 12 [23808/48750]	Loss: 0.2675	LR: 0.004000
Training Epoch: 12 [24064/48750]	Loss: 0.3189	LR: 0.004000
Training Epoch: 12 [24320/48750]	Loss: 0.3211	LR: 0.004000
Training Epoch: 12 [24576/48750]	Loss: 0.2121	LR: 0.004000
Training Epoch: 12 [24832/48750]	Loss: 0.2421	LR: 0.004000
Training Epoch: 12 [25088/48750]	Loss: 0.2828	LR: 0.004000
Training Epoch: 12 [25344/48750]	Loss: 0.2936	LR: 0.004000
Training Epoch: 12 [25600/48750]	Loss: 0.3080	LR: 0.004000
Training Epoch: 12 [25856/48750]	Loss: 0.3734	LR: 0.004000
Training Epoch: 12 [26112/48750]	Loss: 0.2931	LR: 0.004000
Training Epoch: 12 [26368/48750]	Loss: 0.2547	LR: 0.004000
Training Epoch: 12 [26624/48750]	Loss: 0.2539	LR: 0.004000
Training Epoch: 12 [26880/48750]	Loss: 0.2501	LR: 0.004000
Training Epoch: 12 [27136/48750]	Loss: 0.3532	LR: 0.004000
Training Epoch: 12 [27392/48750]	Loss: 0.3068	LR: 0.004000
Training Epoch: 12 [27648/48750]	Loss: 0.2925	LR: 0.004000
Training Epoch: 12 [27904/48750]	Loss: 0.3032	LR: 0.004000
Training Epoch: 12 [28160/48750]	Loss: 0.2832	LR: 0.004000
Training Epoch: 12 [28416/48750]	Loss: 0.3601	LR: 0.004000
Training Epoch: 12 [28672/48750]	Loss: 0.3050	LR: 0.004000
Training Epoch: 12 [28928/48750]	Loss: 0.2546	LR: 0.004000
Training Epoch: 12 [29184/48750]	Loss: 0.3975	LR: 0.004000
Training Epoch: 12 [29440/48750]	Loss: 0.2882	LR: 0.004000
Training Epoch: 12 [29696/48750]	Loss: 0.3380	LR: 0.004000
Training Epoch: 12 [29952/48750]	Loss: 0.2994	LR: 0.004000
Training Epoch: 12 [30208/48750]	Loss: 0.4334	LR: 0.004000
Training Epoch: 12 [30464/48750]	Loss: 0.2992	LR: 0.004000
Training Epoch: 12 [30720/48750]	Loss: 0.3384	LR: 0.004000
Training Epoch: 12 [30976/48750]	Loss: 0.2766	LR: 0.004000
Training Epoch: 12 [31232/48750]	Loss: 0.2680	LR: 0.004000
Training Epoch: 12 [31488/48750]	Loss: 0.2749	LR: 0.004000
Training Epoch: 12 [31744/48750]	Loss: 0.2709	LR: 0.004000
Training Epoch: 12 [32000/48750]	Loss: 0.2132	LR: 0.004000
Training Epoch: 12 [32256/48750]	Loss: 0.3192	LR: 0.004000
Training Epoch: 12 [32512/48750]	Loss: 0.3167	LR: 0.004000
Training Epoch: 12 [32768/48750]	Loss: 0.2983	LR: 0.004000
Training Epoch: 12 [33024/48750]	Loss: 0.3214	LR: 0.004000
Training Epoch: 12 [33280/48750]	Loss: 0.2421	LR: 0.004000
Training Epoch: 12 [33536/48750]	Loss: 0.2944	LR: 0.004000
Training Epoch: 12 [33792/48750]	Loss: 0.3721	LR: 0.004000
Training Epoch: 12 [34048/48750]	Loss: 0.2809	LR: 0.004000
Training Epoch: 12 [34304/48750]	Loss: 0.2711	LR: 0.004000
Training Epoch: 12 [34560/48750]	Loss: 0.3649	LR: 0.004000
Training Epoch: 12 [34816/48750]	Loss: 0.3118	LR: 0.004000
Training Epoch: 12 [35072/48750]	Loss: 0.3704	LR: 0.004000
Training Epoch: 12 [35328/48750]	Loss: 0.3249	LR: 0.004000
Training Epoch: 12 [35584/48750]	Loss: 0.3649	LR: 0.004000
Training Epoch: 12 [35840/48750]	Loss: 0.3197	LR: 0.004000
Training Epoch: 12 [36096/48750]	Loss: 0.3152	LR: 0.004000
Training Epoch: 12 [36352/48750]	Loss: 0.4092	LR: 0.004000
Training Epoch: 12 [36608/48750]	Loss: 0.2571	LR: 0.004000
Training Epoch: 12 [36864/48750]	Loss: 0.2811	LR: 0.004000
Training Epoch: 12 [37120/48750]	Loss: 0.3133	LR: 0.004000
Training Epoch: 12 [37376/48750]	Loss: 0.2816	LR: 0.004000
Training Epoch: 12 [37632/48750]	Loss: 0.2900	LR: 0.004000
Training Epoch: 12 [37888/48750]	Loss: 0.2971	LR: 0.004000
Training Epoch: 12 [38144/48750]	Loss: 0.4005	LR: 0.004000
Training Epoch: 12 [38400/48750]	Loss: 0.2854	LR: 0.004000
Training Epoch: 12 [38656/48750]	Loss: 0.3004	LR: 0.004000
Training Epoch: 12 [38912/48750]	Loss: 0.2729	LR: 0.004000
Training Epoch: 12 [39168/48750]	Loss: 0.2551	LR: 0.004000
Training Epoch: 12 [39424/48750]	Loss: 0.3566	LR: 0.004000
Training Epoch: 12 [39680/48750]	Loss: 0.2822	LR: 0.004000
Training Epoch: 12 [39936/48750]	Loss: 0.3393	LR: 0.004000
Training Epoch: 12 [40192/48750]	Loss: 0.3061	LR: 0.004000
Training Epoch: 12 [40448/48750]	Loss: 0.2804	LR: 0.004000
Training Epoch: 12 [40704/48750]	Loss: 0.3109	LR: 0.004000
Training Epoch: 12 [40960/48750]	Loss: 0.2532	LR: 0.004000
Training Epoch: 12 [41216/48750]	Loss: 0.2619	LR: 0.004000
Training Epoch: 12 [41472/48750]	Loss: 0.2155	LR: 0.004000
Training Epoch: 12 [41728/48750]	Loss: 0.3167	LR: 0.004000
Training Epoch: 12 [41984/48750]	Loss: 0.2364	LR: 0.004000
Training Epoch: 12 [42240/48750]	Loss: 0.3027	LR: 0.004000
Training Epoch: 12 [42496/48750]	Loss: 0.2569	LR: 0.004000
Training Epoch: 12 [42752/48750]	Loss: 0.2587	LR: 0.004000
Training Epoch: 12 [43008/48750]	Loss: 0.3074	LR: 0.004000
Training Epoch: 12 [43264/48750]	Loss: 0.3744	LR: 0.004000
Training Epoch: 12 [43520/48750]	Loss: 0.3129	LR: 0.004000
Training Epoch: 12 [43776/48750]	Loss: 0.2126	LR: 0.004000
Training Epoch: 12 [44032/48750]	Loss: 0.3073	LR: 0.004000
Training Epoch: 12 [44288/48750]	Loss: 0.2858	LR: 0.004000
Training Epoch: 12 [44544/48750]	Loss: 0.3123	LR: 0.004000
Training Epoch: 12 [44800/48750]	Loss: 0.2683	LR: 0.004000
Training Epoch: 12 [45056/48750]	Loss: 0.2723	LR: 0.004000
Training Epoch: 12 [45312/48750]	Loss: 0.3696	LR: 0.004000
Training Epoch: 12 [45568/48750]	Loss: 0.2214	LR: 0.004000
Training Epoch: 12 [45824/48750]	Loss: 0.3096	LR: 0.004000
Training Epoch: 12 [46080/48750]	Loss: 0.2907	LR: 0.004000
Training Epoch: 12 [46336/48750]	Loss: 0.2180	LR: 0.004000
Training Epoch: 12 [46592/48750]	Loss: 0.2600	LR: 0.004000
Training Epoch: 12 [46848/48750]	Loss: 0.2821	LR: 0.004000
Training Epoch: 12 [47104/48750]	Loss: 0.2674	LR: 0.004000
Training Epoch: 12 [47360/48750]	Loss: 0.3068	LR: 0.004000
Training Epoch: 12 [47616/48750]	Loss: 0.3143	LR: 0.004000
Training Epoch: 12 [47872/48750]	Loss: 0.2562	LR: 0.004000
Training Epoch: 12 [48128/48750]	Loss: 0.2616	LR: 0.004000
Training Epoch: 12 [48384/48750]	Loss: 0.3120	LR: 0.004000
Training Epoch: 12 [48640/48750]	Loss: 0.3197	LR: 0.004000
Training Epoch: 12 [48750/48750]	Loss: 0.2990	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3070, Train Accuracy: 0.8932
Epoch 12 training time consumed: 29.17s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0013, Accuracy: 0.8870, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_14h_23m_58s/ResNet18-Cifar10-seed1-ret75-12-best.pth
Training Epoch: 13 [256/48750]	Loss: 0.3076	LR: 0.004000
Training Epoch: 13 [512/48750]	Loss: 0.2891	LR: 0.004000
Training Epoch: 13 [768/48750]	Loss: 0.3276	LR: 0.004000
Training Epoch: 13 [1024/48750]	Loss: 0.3769	LR: 0.004000
Training Epoch: 13 [1280/48750]	Loss: 0.2585	LR: 0.004000
Training Epoch: 13 [1536/48750]	Loss: 0.3610	LR: 0.004000
Training Epoch: 13 [1792/48750]	Loss: 0.3473	LR: 0.004000
Training Epoch: 13 [2048/48750]	Loss: 0.3353	LR: 0.004000
Training Epoch: 13 [2304/48750]	Loss: 0.3113	LR: 0.004000
Training Epoch: 13 [2560/48750]	Loss: 0.3006	LR: 0.004000
Training Epoch: 13 [2816/48750]	Loss: 0.2913	LR: 0.004000
Training Epoch: 13 [3072/48750]	Loss: 0.3445	LR: 0.004000
Training Epoch: 13 [3328/48750]	Loss: 0.3158	LR: 0.004000
Training Epoch: 13 [3584/48750]	Loss: 0.2988	LR: 0.004000
Training Epoch: 13 [3840/48750]	Loss: 0.2385	LR: 0.004000
Training Epoch: 13 [4096/48750]	Loss: 0.3703	LR: 0.004000
Training Epoch: 13 [4352/48750]	Loss: 0.3061	LR: 0.004000
Training Epoch: 13 [4608/48750]	Loss: 0.3154	LR: 0.004000
Training Epoch: 13 [4864/48750]	Loss: 0.3404	LR: 0.004000
Training Epoch: 13 [5120/48750]	Loss: 0.2649	LR: 0.004000
Training Epoch: 13 [5376/48750]	Loss: 0.3016	LR: 0.004000
Training Epoch: 13 [5632/48750]	Loss: 0.2091	LR: 0.004000
Training Epoch: 13 [5888/48750]	Loss: 0.2839	LR: 0.004000
Training Epoch: 13 [6144/48750]	Loss: 0.3073	LR: 0.004000
Training Epoch: 13 [6400/48750]	Loss: 0.2647	LR: 0.004000
Training Epoch: 13 [6656/48750]	Loss: 0.3348	LR: 0.004000
Training Epoch: 13 [6912/48750]	Loss: 0.2445	LR: 0.004000
Training Epoch: 13 [7168/48750]	Loss: 0.2510	LR: 0.004000
Training Epoch: 13 [7424/48750]	Loss: 0.3236	LR: 0.004000
Training Epoch: 13 [7680/48750]	Loss: 0.2320	LR: 0.004000
Training Epoch: 13 [7936/48750]	Loss: 0.2923	LR: 0.004000
Training Epoch: 13 [8192/48750]	Loss: 0.2659	LR: 0.004000
Training Epoch: 13 [8448/48750]	Loss: 0.2763	LR: 0.004000
Training Epoch: 13 [8704/48750]	Loss: 0.2624	LR: 0.004000
Training Epoch: 13 [8960/48750]	Loss: 0.2990	LR: 0.004000
Training Epoch: 13 [9216/48750]	Loss: 0.2645	LR: 0.004000
Training Epoch: 13 [9472/48750]	Loss: 0.2678	LR: 0.004000
Training Epoch: 13 [9728/48750]	Loss: 0.2736	LR: 0.004000
Training Epoch: 13 [9984/48750]	Loss: 0.3978	LR: 0.004000
Training Epoch: 13 [10240/48750]	Loss: 0.3091	LR: 0.004000
Training Epoch: 13 [10496/48750]	Loss: 0.2789	LR: 0.004000
Training Epoch: 13 [10752/48750]	Loss: 0.2878	LR: 0.004000
Training Epoch: 13 [11008/48750]	Loss: 0.2861	LR: 0.004000
Training Epoch: 13 [11264/48750]	Loss: 0.3370	LR: 0.004000
Training Epoch: 13 [11520/48750]	Loss: 0.2536	LR: 0.004000
Training Epoch: 13 [11776/48750]	Loss: 0.2333	LR: 0.004000
Training Epoch: 13 [12032/48750]	Loss: 0.3355	LR: 0.004000
Training Epoch: 13 [12288/48750]	Loss: 0.3742	LR: 0.004000
Training Epoch: 13 [12544/48750]	Loss: 0.2720	LR: 0.004000
Training Epoch: 13 [12800/48750]	Loss: 0.2917	LR: 0.004000
Training Epoch: 13 [13056/48750]	Loss: 0.2489	LR: 0.004000
Training Epoch: 13 [13312/48750]	Loss: 0.2811	LR: 0.004000
Training Epoch: 13 [13568/48750]	Loss: 0.3701	LR: 0.004000
Training Epoch: 13 [13824/48750]	Loss: 0.2486	LR: 0.004000
Training Epoch: 13 [14080/48750]	Loss: 0.2725	LR: 0.004000
Training Epoch: 13 [14336/48750]	Loss: 0.3228	LR: 0.004000
Training Epoch: 13 [14592/48750]	Loss: 0.3212	LR: 0.004000
Training Epoch: 13 [14848/48750]	Loss: 0.2664	LR: 0.004000
Training Epoch: 13 [15104/48750]	Loss: 0.3415	LR: 0.004000
Training Epoch: 13 [15360/48750]	Loss: 0.2100	LR: 0.004000
Training Epoch: 13 [15616/48750]	Loss: 0.2596	LR: 0.004000
Training Epoch: 13 [15872/48750]	Loss: 0.3115	LR: 0.004000
Training Epoch: 13 [16128/48750]	Loss: 0.3061	LR: 0.004000
Training Epoch: 13 [16384/48750]	Loss: 0.2183	LR: 0.004000
Training Epoch: 13 [16640/48750]	Loss: 0.3596	LR: 0.004000
Training Epoch: 13 [16896/48750]	Loss: 0.3055	LR: 0.004000
Training Epoch: 13 [17152/48750]	Loss: 0.2987	LR: 0.004000
Training Epoch: 13 [17408/48750]	Loss: 0.3297	LR: 0.004000
Training Epoch: 13 [17664/48750]	Loss: 0.2375	LR: 0.004000
Training Epoch: 13 [17920/48750]	Loss: 0.3759	LR: 0.004000
Training Epoch: 13 [18176/48750]	Loss: 0.3379	LR: 0.004000
Training Epoch: 13 [18432/48750]	Loss: 0.3223	LR: 0.004000
Training Epoch: 13 [18688/48750]	Loss: 0.2853	LR: 0.004000
Training Epoch: 13 [18944/48750]	Loss: 0.1888	LR: 0.004000
Training Epoch: 13 [19200/48750]	Loss: 0.2498	LR: 0.004000
Training Epoch: 13 [19456/48750]	Loss: 0.3409	LR: 0.004000
Training Epoch: 13 [19712/48750]	Loss: 0.3241	LR: 0.004000
Training Epoch: 13 [19968/48750]	Loss: 0.2825	LR: 0.004000
Training Epoch: 13 [20224/48750]	Loss: 0.2571	LR: 0.004000
Training Epoch: 13 [20480/48750]	Loss: 0.3502	LR: 0.004000
Training Epoch: 13 [20736/48750]	Loss: 0.3392	LR: 0.004000
Training Epoch: 13 [20992/48750]	Loss: 0.3068	LR: 0.004000
Training Epoch: 13 [21248/48750]	Loss: 0.2491	LR: 0.004000
Training Epoch: 13 [21504/48750]	Loss: 0.2966	LR: 0.004000
Training Epoch: 13 [21760/48750]	Loss: 0.2873	LR: 0.004000
Training Epoch: 13 [22016/48750]	Loss: 0.2701	LR: 0.004000
Training Epoch: 13 [22272/48750]	Loss: 0.3580	LR: 0.004000
Training Epoch: 13 [22528/48750]	Loss: 0.3026	LR: 0.004000
Training Epoch: 13 [22784/48750]	Loss: 0.3258	LR: 0.004000
Training Epoch: 13 [23040/48750]	Loss: 0.2846	LR: 0.004000
Training Epoch: 13 [23296/48750]	Loss: 0.2779	LR: 0.004000
Training Epoch: 13 [23552/48750]	Loss: 0.2991	LR: 0.004000
Training Epoch: 13 [23808/48750]	Loss: 0.2746	LR: 0.004000
Training Epoch: 13 [24064/48750]	Loss: 0.3409	LR: 0.004000
Training Epoch: 13 [24320/48750]	Loss: 0.2809	LR: 0.004000
Training Epoch: 13 [24576/48750]	Loss: 0.2579	LR: 0.004000
Training Epoch: 13 [24832/48750]	Loss: 0.2913	LR: 0.004000
Training Epoch: 13 [25088/48750]	Loss: 0.3487	LR: 0.004000
Training Epoch: 13 [25344/48750]	Loss: 0.2642	LR: 0.004000
Training Epoch: 13 [25600/48750]	Loss: 0.2813	LR: 0.004000
Training Epoch: 13 [25856/48750]	Loss: 0.2583	LR: 0.004000
Training Epoch: 13 [26112/48750]	Loss: 0.3978	LR: 0.004000
Training Epoch: 13 [26368/48750]	Loss: 0.2027	LR: 0.004000
Training Epoch: 13 [26624/48750]	Loss: 0.3321	LR: 0.004000
Training Epoch: 13 [26880/48750]	Loss: 0.2228	LR: 0.004000
Training Epoch: 13 [27136/48750]	Loss: 0.3159	LR: 0.004000
Training Epoch: 13 [27392/48750]	Loss: 0.2930	LR: 0.004000
Training Epoch: 13 [27648/48750]	Loss: 0.2950	LR: 0.004000
Training Epoch: 13 [27904/48750]	Loss: 0.3004	LR: 0.004000
Training Epoch: 13 [28160/48750]	Loss: 0.2847	LR: 0.004000
Training Epoch: 13 [28416/48750]	Loss: 0.2895	LR: 0.004000
Training Epoch: 13 [28672/48750]	Loss: 0.3274	LR: 0.004000
Training Epoch: 13 [28928/48750]	Loss: 0.2932	LR: 0.004000
Training Epoch: 13 [29184/48750]	Loss: 0.2696	LR: 0.004000
Training Epoch: 13 [29440/48750]	Loss: 0.2708	LR: 0.004000
Training Epoch: 13 [29696/48750]	Loss: 0.2613	LR: 0.004000
Training Epoch: 13 [29952/48750]	Loss: 0.2386	LR: 0.004000
Training Epoch: 13 [30208/48750]	Loss: 0.2865	LR: 0.004000
Training Epoch: 13 [30464/48750]	Loss: 0.2246	LR: 0.004000
Training Epoch: 13 [30720/48750]	Loss: 0.3100	LR: 0.004000
Training Epoch: 13 [30976/48750]	Loss: 0.2661	LR: 0.004000
Training Epoch: 13 [31232/48750]	Loss: 0.3109	LR: 0.004000
Training Epoch: 13 [31488/48750]	Loss: 0.2565	LR: 0.004000
Training Epoch: 13 [31744/48750]	Loss: 0.2362	LR: 0.004000
Training Epoch: 13 [32000/48750]	Loss: 0.3479	LR: 0.004000
Training Epoch: 13 [32256/48750]	Loss: 0.3059	LR: 0.004000
Training Epoch: 13 [32512/48750]	Loss: 0.3214	LR: 0.004000
Training Epoch: 13 [32768/48750]	Loss: 0.2019	LR: 0.004000
Training Epoch: 13 [33024/48750]	Loss: 0.2955	LR: 0.004000
Training Epoch: 13 [33280/48750]	Loss: 0.3267	LR: 0.004000
Training Epoch: 13 [33536/48750]	Loss: 0.2492	LR: 0.004000
Training Epoch: 13 [33792/48750]	Loss: 0.2712	LR: 0.004000
Training Epoch: 13 [34048/48750]	Loss: 0.2480	LR: 0.004000
Training Epoch: 13 [34304/48750]	Loss: 0.3306	LR: 0.004000
Training Epoch: 13 [34560/48750]	Loss: 0.2855	LR: 0.004000
Training Epoch: 13 [34816/48750]	Loss: 0.3800	LR: 0.004000
Training Epoch: 13 [35072/48750]	Loss: 0.2863	LR: 0.004000
Training Epoch: 13 [35328/48750]	Loss: 0.2591	LR: 0.004000
Training Epoch: 13 [35584/48750]	Loss: 0.3103	LR: 0.004000
Training Epoch: 13 [35840/48750]	Loss: 0.2037	LR: 0.004000
Training Epoch: 13 [36096/48750]	Loss: 0.2897	LR: 0.004000
Training Epoch: 13 [36352/48750]	Loss: 0.2746	LR: 0.004000
Training Epoch: 13 [36608/48750]	Loss: 0.2748	LR: 0.004000
Training Epoch: 13 [36864/48750]	Loss: 0.3232	LR: 0.004000
Training Epoch: 13 [37120/48750]	Loss: 0.2812	LR: 0.004000
Training Epoch: 13 [37376/48750]	Loss: 0.2703	LR: 0.004000
Training Epoch: 13 [37632/48750]	Loss: 0.3134	LR: 0.004000
Training Epoch: 13 [37888/48750]	Loss: 0.2461	LR: 0.004000
Training Epoch: 13 [38144/48750]	Loss: 0.3001	LR: 0.004000
Training Epoch: 13 [38400/48750]	Loss: 0.3267	LR: 0.004000
Training Epoch: 13 [38656/48750]	Loss: 0.2905	LR: 0.004000
Training Epoch: 13 [38912/48750]	Loss: 0.2854	LR: 0.004000
Training Epoch: 13 [39168/48750]	Loss: 0.2903	LR: 0.004000
Training Epoch: 13 [39424/48750]	Loss: 0.3144	LR: 0.004000
Training Epoch: 13 [39680/48750]	Loss: 0.3439	LR: 0.004000
Training Epoch: 13 [39936/48750]	Loss: 0.2863	LR: 0.004000
Training Epoch: 13 [40192/48750]	Loss: 0.2610	LR: 0.004000
Training Epoch: 13 [40448/48750]	Loss: 0.3644	LR: 0.004000
Training Epoch: 13 [40704/48750]	Loss: 0.2376	LR: 0.004000
Training Epoch: 13 [40960/48750]	Loss: 0.3448	LR: 0.004000
Training Epoch: 13 [41216/48750]	Loss: 0.2815	LR: 0.004000
Training Epoch: 13 [41472/48750]	Loss: 0.2773	LR: 0.004000
Training Epoch: 13 [41728/48750]	Loss: 0.3016	LR: 0.004000
Training Epoch: 13 [41984/48750]	Loss: 0.3545	LR: 0.004000
Training Epoch: 13 [42240/48750]	Loss: 0.3749	LR: 0.004000
Training Epoch: 13 [42496/48750]	Loss: 0.2874	LR: 0.004000
Training Epoch: 13 [42752/48750]	Loss: 0.2135	LR: 0.004000
Training Epoch: 13 [43008/48750]	Loss: 0.3440	LR: 0.004000
Training Epoch: 13 [43264/48750]	Loss: 0.2185	LR: 0.004000
Training Epoch: 13 [43520/48750]	Loss: 0.2945	LR: 0.004000
Training Epoch: 13 [43776/48750]	Loss: 0.3379	LR: 0.004000
Training Epoch: 13 [44032/48750]	Loss: 0.3180	LR: 0.004000
Training Epoch: 13 [44288/48750]	Loss: 0.3683	LR: 0.004000
Training Epoch: 13 [44544/48750]	Loss: 0.2641	LR: 0.004000
Training Epoch: 13 [44800/48750]	Loss: 0.2827	LR: 0.004000
Training Epoch: 13 [45056/48750]	Loss: 0.2345	LR: 0.004000
Training Epoch: 13 [45312/48750]	Loss: 0.2707	LR: 0.004000
Training Epoch: 13 [45568/48750]	Loss: 0.3718	LR: 0.004000
Training Epoch: 13 [45824/48750]	Loss: 0.2999	LR: 0.004000
Training Epoch: 13 [46080/48750]	Loss: 0.3296	LR: 0.004000
Training Epoch: 13 [46336/48750]	Loss: 0.3113	LR: 0.004000
Training Epoch: 13 [46592/48750]	Loss: 0.2938	LR: 0.004000
Training Epoch: 13 [46848/48750]	Loss: 0.2597	LR: 0.004000
Training Epoch: 13 [47104/48750]	Loss: 0.2846	LR: 0.004000
Training Epoch: 13 [47360/48750]	Loss: 0.2651	LR: 0.004000
Training Epoch: 13 [47616/48750]	Loss: 0.2924	LR: 0.004000
Training Epoch: 13 [47872/48750]	Loss: 0.2999	LR: 0.004000
Training Epoch: 13 [48128/48750]	Loss: 0.2842	LR: 0.004000
Training Epoch: 13 [48384/48750]	Loss: 0.2705	LR: 0.004000
Training Epoch: 13 [48640/48750]	Loss: 0.2838	LR: 0.004000
Training Epoch: 13 [48750/48750]	Loss: 0.2164	LR: 0.004000
Epoch 13 - Average Train Loss: 0.2937, Train Accuracy: 0.8957
Epoch 13 training time consumed: 29.44s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0013, Accuracy: 0.8887, Time consumed:0.85s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_14h_23m_58s/ResNet18-Cifar10-seed1-ret75-13-best.pth
Training Epoch: 14 [256/48750]	Loss: 0.2893	LR: 0.004000
Training Epoch: 14 [512/48750]	Loss: 0.3051	LR: 0.004000
Training Epoch: 14 [768/48750]	Loss: 0.3242	LR: 0.004000
Training Epoch: 14 [1024/48750]	Loss: 0.2333	LR: 0.004000
Training Epoch: 14 [1280/48750]	Loss: 0.2625	LR: 0.004000
Training Epoch: 14 [1536/48750]	Loss: 0.2933	LR: 0.004000
Training Epoch: 14 [1792/48750]	Loss: 0.2931	LR: 0.004000
Training Epoch: 14 [2048/48750]	Loss: 0.3769	LR: 0.004000
Training Epoch: 14 [2304/48750]	Loss: 0.3187	LR: 0.004000
Training Epoch: 14 [2560/48750]	Loss: 0.2968	LR: 0.004000
Training Epoch: 14 [2816/48750]	Loss: 0.2900	LR: 0.004000
Training Epoch: 14 [3072/48750]	Loss: 0.2978	LR: 0.004000
Training Epoch: 14 [3328/48750]	Loss: 0.2518	LR: 0.004000
Training Epoch: 14 [3584/48750]	Loss: 0.2457	LR: 0.004000
Training Epoch: 14 [3840/48750]	Loss: 0.3049	LR: 0.004000
Training Epoch: 14 [4096/48750]	Loss: 0.2990	LR: 0.004000
Training Epoch: 14 [4352/48750]	Loss: 0.3119	LR: 0.004000
Training Epoch: 14 [4608/48750]	Loss: 0.3669	LR: 0.004000
Training Epoch: 14 [4864/48750]	Loss: 0.3072	LR: 0.004000
Training Epoch: 14 [5120/48750]	Loss: 0.2770	LR: 0.004000
Training Epoch: 14 [5376/48750]	Loss: 0.1934	LR: 0.004000
Training Epoch: 14 [5632/48750]	Loss: 0.2547	LR: 0.004000
Training Epoch: 14 [5888/48750]	Loss: 0.2482	LR: 0.004000
Training Epoch: 14 [6144/48750]	Loss: 0.1771	LR: 0.004000
Training Epoch: 14 [6400/48750]	Loss: 0.2312	LR: 0.004000
Training Epoch: 14 [6656/48750]	Loss: 0.2609	LR: 0.004000
Training Epoch: 14 [6912/48750]	Loss: 0.2776	LR: 0.004000
Training Epoch: 14 [7168/48750]	Loss: 0.2700	LR: 0.004000
Training Epoch: 14 [7424/48750]	Loss: 0.3318	LR: 0.004000
Training Epoch: 14 [7680/48750]	Loss: 0.2836	LR: 0.004000
Training Epoch: 14 [7936/48750]	Loss: 0.2726	LR: 0.004000
Training Epoch: 14 [8192/48750]	Loss: 0.3895	LR: 0.004000
Training Epoch: 14 [8448/48750]	Loss: 0.2691	LR: 0.004000
Training Epoch: 14 [8704/48750]	Loss: 0.3123	LR: 0.004000
Training Epoch: 14 [8960/48750]	Loss: 0.2878	LR: 0.004000
Training Epoch: 14 [9216/48750]	Loss: 0.3102	LR: 0.004000
Training Epoch: 14 [9472/48750]	Loss: 0.3188	LR: 0.004000
Training Epoch: 14 [9728/48750]	Loss: 0.2967	LR: 0.004000
Training Epoch: 14 [9984/48750]	Loss: 0.3233	LR: 0.004000
Training Epoch: 14 [10240/48750]	Loss: 0.3825	LR: 0.004000
Training Epoch: 14 [10496/48750]	Loss: 0.3054	LR: 0.004000
Training Epoch: 14 [10752/48750]	Loss: 0.2134	LR: 0.004000
Training Epoch: 14 [11008/48750]	Loss: 0.2589	LR: 0.004000
Training Epoch: 14 [11264/48750]	Loss: 0.2517	LR: 0.004000
Training Epoch: 14 [11520/48750]	Loss: 0.2885	LR: 0.004000
Training Epoch: 14 [11776/48750]	Loss: 0.2584	LR: 0.004000
Training Epoch: 14 [12032/48750]	Loss: 0.2717	LR: 0.004000
Training Epoch: 14 [12288/48750]	Loss: 0.2871	LR: 0.004000
Training Epoch: 14 [12544/48750]	Loss: 0.3187	LR: 0.004000
Training Epoch: 14 [12800/48750]	Loss: 0.2493	LR: 0.004000
Training Epoch: 14 [13056/48750]	Loss: 0.3166	LR: 0.004000
Training Epoch: 14 [13312/48750]	Loss: 0.3508	LR: 0.004000
Training Epoch: 14 [13568/48750]	Loss: 0.2603	LR: 0.004000
Training Epoch: 14 [13824/48750]	Loss: 0.2281	LR: 0.004000
Training Epoch: 14 [14080/48750]	Loss: 0.1871	LR: 0.004000
Training Epoch: 14 [14336/48750]	Loss: 0.3200	LR: 0.004000
Training Epoch: 14 [14592/48750]	Loss: 0.4071	LR: 0.004000
Training Epoch: 14 [14848/48750]	Loss: 0.3139	LR: 0.004000
Training Epoch: 14 [15104/48750]	Loss: 0.2682	LR: 0.004000
Training Epoch: 14 [15360/48750]	Loss: 0.2393	LR: 0.004000
Training Epoch: 14 [15616/48750]	Loss: 0.2580	LR: 0.004000
Training Epoch: 14 [15872/48750]	Loss: 0.3088	LR: 0.004000
Training Epoch: 14 [16128/48750]	Loss: 0.2391	LR: 0.004000
Training Epoch: 14 [16384/48750]	Loss: 0.2927	LR: 0.004000
Training Epoch: 14 [16640/48750]	Loss: 0.2558	LR: 0.004000
Training Epoch: 14 [16896/48750]	Loss: 0.3208	LR: 0.004000
Training Epoch: 14 [17152/48750]	Loss: 0.3869	LR: 0.004000
Training Epoch: 14 [17408/48750]	Loss: 0.3004	LR: 0.004000
Training Epoch: 14 [17664/48750]	Loss: 0.2956	LR: 0.004000
Training Epoch: 14 [17920/48750]	Loss: 0.3004	LR: 0.004000
Training Epoch: 14 [18176/48750]	Loss: 0.3335	LR: 0.004000
Training Epoch: 14 [18432/48750]	Loss: 0.2747	LR: 0.004000
Training Epoch: 14 [18688/48750]	Loss: 0.2384	LR: 0.004000
Training Epoch: 14 [18944/48750]	Loss: 0.1892	LR: 0.004000
Training Epoch: 14 [19200/48750]	Loss: 0.2022	LR: 0.004000
Training Epoch: 14 [19456/48750]	Loss: 0.3169	LR: 0.004000
Training Epoch: 14 [19712/48750]	Loss: 0.2505	LR: 0.004000
Training Epoch: 14 [19968/48750]	Loss: 0.2912	LR: 0.004000
Training Epoch: 14 [20224/48750]	Loss: 0.2635	LR: 0.004000
Training Epoch: 14 [20480/48750]	Loss: 0.2996	LR: 0.004000
Training Epoch: 14 [20736/48750]	Loss: 0.3073	LR: 0.004000
Training Epoch: 14 [20992/48750]	Loss: 0.2291	LR: 0.004000
Training Epoch: 14 [21248/48750]	Loss: 0.2355	LR: 0.004000
Training Epoch: 14 [21504/48750]	Loss: 0.2735	LR: 0.004000
Training Epoch: 14 [21760/48750]	Loss: 0.2809	LR: 0.004000
Training Epoch: 14 [22016/48750]	Loss: 0.2555	LR: 0.004000
Training Epoch: 14 [22272/48750]	Loss: 0.2545	LR: 0.004000
Training Epoch: 14 [22528/48750]	Loss: 0.3226	LR: 0.004000
Training Epoch: 14 [22784/48750]	Loss: 0.3141	LR: 0.004000
Training Epoch: 14 [23040/48750]	Loss: 0.3109	LR: 0.004000
Training Epoch: 14 [23296/48750]	Loss: 0.2629	LR: 0.004000
Training Epoch: 14 [23552/48750]	Loss: 0.2857	LR: 0.004000
Training Epoch: 14 [23808/48750]	Loss: 0.2466	LR: 0.004000
Training Epoch: 14 [24064/48750]	Loss: 0.2905	LR: 0.004000
Training Epoch: 14 [24320/48750]	Loss: 0.2749	LR: 0.004000
Training Epoch: 14 [24576/48750]	Loss: 0.2869	LR: 0.004000
Training Epoch: 14 [24832/48750]	Loss: 0.2114	LR: 0.004000
Training Epoch: 14 [25088/48750]	Loss: 0.3310	LR: 0.004000
Training Epoch: 14 [25344/48750]	Loss: 0.2330	LR: 0.004000
Training Epoch: 14 [25600/48750]	Loss: 0.2863	LR: 0.004000
Training Epoch: 14 [25856/48750]	Loss: 0.3222	LR: 0.004000
Training Epoch: 14 [26112/48750]	Loss: 0.3870	LR: 0.004000
Training Epoch: 14 [26368/48750]	Loss: 0.1730	LR: 0.004000
Training Epoch: 14 [26624/48750]	Loss: 0.2634	LR: 0.004000
Training Epoch: 14 [26880/48750]	Loss: 0.2380	LR: 0.004000
Training Epoch: 14 [27136/48750]	Loss: 0.2787	LR: 0.004000
Training Epoch: 14 [27392/48750]	Loss: 0.3130	LR: 0.004000
Training Epoch: 14 [27648/48750]	Loss: 0.2688	LR: 0.004000
Training Epoch: 14 [27904/48750]	Loss: 0.1996	LR: 0.004000
Training Epoch: 14 [28160/48750]	Loss: 0.2898	LR: 0.004000
Training Epoch: 14 [28416/48750]	Loss: 0.2983	LR: 0.004000
Training Epoch: 14 [28672/48750]	Loss: 0.2341	LR: 0.004000
Training Epoch: 14 [28928/48750]	Loss: 0.2720	LR: 0.004000
Training Epoch: 14 [29184/48750]	Loss: 0.3195	LR: 0.004000
Training Epoch: 14 [29440/48750]	Loss: 0.2672	LR: 0.004000
Training Epoch: 14 [29696/48750]	Loss: 0.2907	LR: 0.004000
Training Epoch: 14 [29952/48750]	Loss: 0.2972	LR: 0.004000
Training Epoch: 14 [30208/48750]	Loss: 0.3414	LR: 0.004000
Training Epoch: 14 [30464/48750]	Loss: 0.3486	LR: 0.004000
Training Epoch: 14 [30720/48750]	Loss: 0.2690	LR: 0.004000
Training Epoch: 14 [30976/48750]	Loss: 0.3351	LR: 0.004000
Training Epoch: 14 [31232/48750]	Loss: 0.2404	LR: 0.004000
Training Epoch: 14 [31488/48750]	Loss: 0.3459	LR: 0.004000
Training Epoch: 14 [31744/48750]	Loss: 0.3023	LR: 0.004000
Training Epoch: 14 [32000/48750]	Loss: 0.2690	LR: 0.004000
Training Epoch: 14 [32256/48750]	Loss: 0.3411	LR: 0.004000
Training Epoch: 14 [32512/48750]	Loss: 0.3124	LR: 0.004000
Training Epoch: 14 [32768/48750]	Loss: 0.2744	LR: 0.004000
Training Epoch: 14 [33024/48750]	Loss: 0.2366	LR: 0.004000
Training Epoch: 14 [33280/48750]	Loss: 0.3866	LR: 0.004000
Training Epoch: 14 [33536/48750]	Loss: 0.3088	LR: 0.004000
Training Epoch: 14 [33792/48750]	Loss: 0.2438	LR: 0.004000
Training Epoch: 14 [34048/48750]	Loss: 0.3260	LR: 0.004000
Training Epoch: 14 [34304/48750]	Loss: 0.3356	LR: 0.004000
Training Epoch: 14 [34560/48750]	Loss: 0.2358	LR: 0.004000
Training Epoch: 14 [34816/48750]	Loss: 0.2501	LR: 0.004000
Training Epoch: 14 [35072/48750]	Loss: 0.2318	LR: 0.004000
Training Epoch: 14 [35328/48750]	Loss: 0.2479	LR: 0.004000
Training Epoch: 14 [35584/48750]	Loss: 0.3449	LR: 0.004000
Training Epoch: 14 [35840/48750]	Loss: 0.1764	LR: 0.004000
Training Epoch: 14 [36096/48750]	Loss: 0.2260	LR: 0.004000
Training Epoch: 14 [36352/48750]	Loss: 0.3256	LR: 0.004000
Training Epoch: 14 [36608/48750]	Loss: 0.3077	LR: 0.004000
Training Epoch: 14 [36864/48750]	Loss: 0.2557	LR: 0.004000
Training Epoch: 14 [37120/48750]	Loss: 0.3029	LR: 0.004000
Training Epoch: 14 [37376/48750]	Loss: 0.2791	LR: 0.004000
Training Epoch: 14 [37632/48750]	Loss: 0.3113	LR: 0.004000
Training Epoch: 14 [37888/48750]	Loss: 0.2525	LR: 0.004000
Training Epoch: 14 [38144/48750]	Loss: 0.3279	LR: 0.004000
Training Epoch: 14 [38400/48750]	Loss: 0.2734	LR: 0.004000
Training Epoch: 14 [38656/48750]	Loss: 0.2633	LR: 0.004000
Training Epoch: 14 [38912/48750]	Loss: 0.3239	LR: 0.004000
Training Epoch: 14 [39168/48750]	Loss: 0.3360	LR: 0.004000
Training Epoch: 14 [39424/48750]	Loss: 0.3762	LR: 0.004000
Training Epoch: 14 [39680/48750]	Loss: 0.2584	LR: 0.004000
Training Epoch: 14 [39936/48750]	Loss: 0.2842	LR: 0.004000
Training Epoch: 14 [40192/48750]	Loss: 0.4105	LR: 0.004000
Training Epoch: 14 [40448/48750]	Loss: 0.2470	LR: 0.004000
Training Epoch: 14 [40704/48750]	Loss: 0.3029	LR: 0.004000
Training Epoch: 14 [40960/48750]	Loss: 0.2196	LR: 0.004000
Training Epoch: 14 [41216/48750]	Loss: 0.3021	LR: 0.004000
Training Epoch: 14 [41472/48750]	Loss: 0.2590	LR: 0.004000
Training Epoch: 14 [41728/48750]	Loss: 0.2694	LR: 0.004000
Training Epoch: 14 [41984/48750]	Loss: 0.3777	LR: 0.004000
Training Epoch: 14 [42240/48750]	Loss: 0.3181	LR: 0.004000
Training Epoch: 14 [42496/48750]	Loss: 0.2862	LR: 0.004000
Training Epoch: 14 [42752/48750]	Loss: 0.3100	LR: 0.004000
Training Epoch: 14 [43008/48750]	Loss: 0.2680	LR: 0.004000
Training Epoch: 14 [43264/48750]	Loss: 0.2320	LR: 0.004000
Training Epoch: 14 [43520/48750]	Loss: 0.2297	LR: 0.004000
Training Epoch: 14 [43776/48750]	Loss: 0.3186	LR: 0.004000
Training Epoch: 14 [44032/48750]	Loss: 0.2900	LR: 0.004000
Training Epoch: 14 [44288/48750]	Loss: 0.3386	LR: 0.004000
Training Epoch: 14 [44544/48750]	Loss: 0.2604	LR: 0.004000
Training Epoch: 14 [44800/48750]	Loss: 0.2868	LR: 0.004000
Training Epoch: 14 [45056/48750]	Loss: 0.2406	LR: 0.004000
Training Epoch: 14 [45312/48750]	Loss: 0.2410	LR: 0.004000
Training Epoch: 14 [45568/48750]	Loss: 0.2229	LR: 0.004000
Training Epoch: 14 [45824/48750]	Loss: 0.2684	LR: 0.004000
Training Epoch: 14 [46080/48750]	Loss: 0.2431	LR: 0.004000
Training Epoch: 14 [46336/48750]	Loss: 0.1812	LR: 0.004000
Training Epoch: 14 [46592/48750]	Loss: 0.3562	LR: 0.004000
Training Epoch: 14 [46848/48750]	Loss: 0.2594	LR: 0.004000
Training Epoch: 14 [47104/48750]	Loss: 0.3082	LR: 0.004000
Training Epoch: 14 [47360/48750]	Loss: 0.3472	LR: 0.004000
Training Epoch: 14 [47616/48750]	Loss: 0.2465	LR: 0.004000
Training Epoch: 14 [47872/48750]	Loss: 0.2561	LR: 0.004000
Training Epoch: 14 [48128/48750]	Loss: 0.2921	LR: 0.004000
Training Epoch: 14 [48384/48750]	Loss: 0.2260	LR: 0.004000
Training Epoch: 14 [48640/48750]	Loss: 0.3774	LR: 0.004000
Training Epoch: 14 [48750/48750]	Loss: 0.3042	LR: 0.004000
Epoch 14 - Average Train Loss: 0.2846, Train Accuracy: 0.9014
Epoch 14 training time consumed: 29.19s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0013, Accuracy: 0.8883, Time consumed:0.86s
Training Epoch: 15 [256/48750]	Loss: 0.2449	LR: 0.004000
Training Epoch: 15 [512/48750]	Loss: 0.3835	LR: 0.004000
Training Epoch: 15 [768/48750]	Loss: 0.2636	LR: 0.004000
Training Epoch: 15 [1024/48750]	Loss: 0.3078	LR: 0.004000
Training Epoch: 15 [1280/48750]	Loss: 0.2388	LR: 0.004000
Training Epoch: 15 [1536/48750]	Loss: 0.2935	LR: 0.004000
Training Epoch: 15 [1792/48750]	Loss: 0.2750	LR: 0.004000
Training Epoch: 15 [2048/48750]	Loss: 0.1851	LR: 0.004000
Training Epoch: 15 [2304/48750]	Loss: 0.2810	LR: 0.004000
Training Epoch: 15 [2560/48750]	Loss: 0.2970	LR: 0.004000
Training Epoch: 15 [2816/48750]	Loss: 0.3606	LR: 0.004000
Training Epoch: 15 [3072/48750]	Loss: 0.2453	LR: 0.004000
Training Epoch: 15 [3328/48750]	Loss: 0.2964	LR: 0.004000
Training Epoch: 15 [3584/48750]	Loss: 0.3373	LR: 0.004000
Training Epoch: 15 [3840/48750]	Loss: 0.2137	LR: 0.004000
Training Epoch: 15 [4096/48750]	Loss: 0.2303	LR: 0.004000
Training Epoch: 15 [4352/48750]	Loss: 0.3002	LR: 0.004000
Training Epoch: 15 [4608/48750]	Loss: 0.2714	LR: 0.004000
Training Epoch: 15 [4864/48750]	Loss: 0.3024	LR: 0.004000
Training Epoch: 15 [5120/48750]	Loss: 0.3201	LR: 0.004000
Training Epoch: 15 [5376/48750]	Loss: 0.2459	LR: 0.004000
Training Epoch: 15 [5632/48750]	Loss: 0.3051	LR: 0.004000
Training Epoch: 15 [5888/48750]	Loss: 0.2714	LR: 0.004000
Training Epoch: 15 [6144/48750]	Loss: 0.2762	LR: 0.004000
Training Epoch: 15 [6400/48750]	Loss: 0.3001	LR: 0.004000
Training Epoch: 15 [6656/48750]	Loss: 0.2583	LR: 0.004000
Training Epoch: 15 [6912/48750]	Loss: 0.2651	LR: 0.004000
Training Epoch: 15 [7168/48750]	Loss: 0.2931	LR: 0.004000
Training Epoch: 15 [7424/48750]	Loss: 0.2099	LR: 0.004000
Training Epoch: 15 [7680/48750]	Loss: 0.2766	LR: 0.004000
Training Epoch: 15 [7936/48750]	Loss: 0.2226	LR: 0.004000
Training Epoch: 15 [8192/48750]	Loss: 0.2911	LR: 0.004000
Training Epoch: 15 [8448/48750]	Loss: 0.3387	LR: 0.004000
Training Epoch: 15 [8704/48750]	Loss: 0.3137	LR: 0.004000
Training Epoch: 15 [8960/48750]	Loss: 0.1976	LR: 0.004000
Training Epoch: 15 [9216/48750]	Loss: 0.2424	LR: 0.004000
Training Epoch: 15 [9472/48750]	Loss: 0.2834	LR: 0.004000
Training Epoch: 15 [9728/48750]	Loss: 0.2718	LR: 0.004000
Training Epoch: 15 [9984/48750]	Loss: 0.2432	LR: 0.004000
Training Epoch: 15 [10240/48750]	Loss: 0.2744	LR: 0.004000
Training Epoch: 15 [10496/48750]	Loss: 0.3726	LR: 0.004000
Training Epoch: 15 [10752/48750]	Loss: 0.2899	LR: 0.004000
Training Epoch: 15 [11008/48750]	Loss: 0.2684	LR: 0.004000
Training Epoch: 15 [11264/48750]	Loss: 0.2642	LR: 0.004000
Training Epoch: 15 [11520/48750]	Loss: 0.2783	LR: 0.004000
Training Epoch: 15 [11776/48750]	Loss: 0.2499	LR: 0.004000
Training Epoch: 15 [12032/48750]	Loss: 0.2750	LR: 0.004000
Training Epoch: 15 [12288/48750]	Loss: 0.2588	LR: 0.004000
Training Epoch: 15 [12544/48750]	Loss: 0.1815	LR: 0.004000
Training Epoch: 15 [12800/48750]	Loss: 0.3043	LR: 0.004000
Training Epoch: 15 [13056/48750]	Loss: 0.2152	LR: 0.004000
Training Epoch: 15 [13312/48750]	Loss: 0.1887	LR: 0.004000
Training Epoch: 15 [13568/48750]	Loss: 0.2296	LR: 0.004000
Training Epoch: 15 [13824/48750]	Loss: 0.2839	LR: 0.004000
Training Epoch: 15 [14080/48750]	Loss: 0.3035	LR: 0.004000
Training Epoch: 15 [14336/48750]	Loss: 0.2789	LR: 0.004000
Training Epoch: 15 [14592/48750]	Loss: 0.2520	LR: 0.004000
Training Epoch: 15 [14848/48750]	Loss: 0.3243	LR: 0.004000
Training Epoch: 15 [15104/48750]	Loss: 0.2833	LR: 0.004000
Training Epoch: 15 [15360/48750]	Loss: 0.2955	LR: 0.004000
Training Epoch: 15 [15616/48750]	Loss: 0.2683	LR: 0.004000
Training Epoch: 15 [15872/48750]	Loss: 0.2698	LR: 0.004000
Training Epoch: 15 [16128/48750]	Loss: 0.2738	LR: 0.004000
Training Epoch: 15 [16384/48750]	Loss: 0.2400	LR: 0.004000
Training Epoch: 15 [16640/48750]	Loss: 0.2347	LR: 0.004000
Training Epoch: 15 [16896/48750]	Loss: 0.2283	LR: 0.004000
Training Epoch: 15 [17152/48750]	Loss: 0.3411	LR: 0.004000
Training Epoch: 15 [17408/48750]	Loss: 0.2526	LR: 0.004000
Training Epoch: 15 [17664/48750]	Loss: 0.3040	LR: 0.004000
Training Epoch: 15 [17920/48750]	Loss: 0.3108	LR: 0.004000
Training Epoch: 15 [18176/48750]	Loss: 0.3072	LR: 0.004000
Training Epoch: 15 [18432/48750]	Loss: 0.2413	LR: 0.004000
Training Epoch: 15 [18688/48750]	Loss: 0.2758	LR: 0.004000
Training Epoch: 15 [18944/48750]	Loss: 0.4158	LR: 0.004000
Training Epoch: 15 [19200/48750]	Loss: 0.2977	LR: 0.004000
Training Epoch: 15 [19456/48750]	Loss: 0.2473	LR: 0.004000
Training Epoch: 15 [19712/48750]	Loss: 0.2141	LR: 0.004000
Training Epoch: 15 [19968/48750]	Loss: 0.2325	LR: 0.004000
Training Epoch: 15 [20224/48750]	Loss: 0.3534	LR: 0.004000
Training Epoch: 15 [20480/48750]	Loss: 0.2436	LR: 0.004000
Training Epoch: 15 [20736/48750]	Loss: 0.2442	LR: 0.004000
Training Epoch: 15 [20992/48750]	Loss: 0.2773	LR: 0.004000
Training Epoch: 15 [21248/48750]	Loss: 0.2732	LR: 0.004000
Training Epoch: 15 [21504/48750]	Loss: 0.2368	LR: 0.004000
Training Epoch: 15 [21760/48750]	Loss: 0.3071	LR: 0.004000
Training Epoch: 15 [22016/48750]	Loss: 0.3061	LR: 0.004000
Training Epoch: 15 [22272/48750]	Loss: 0.2227	LR: 0.004000
Training Epoch: 15 [22528/48750]	Loss: 0.2379	LR: 0.004000
Training Epoch: 15 [22784/48750]	Loss: 0.2458	LR: 0.004000
Training Epoch: 15 [23040/48750]	Loss: 0.3655	LR: 0.004000
Training Epoch: 15 [23296/48750]	Loss: 0.3167	LR: 0.004000
Training Epoch: 15 [23552/48750]	Loss: 0.2018	LR: 0.004000
Training Epoch: 15 [23808/48750]	Loss: 0.3309	LR: 0.004000
Training Epoch: 15 [24064/48750]	Loss: 0.2430	LR: 0.004000
Training Epoch: 15 [24320/48750]	Loss: 0.3014	LR: 0.004000
Training Epoch: 15 [24576/48750]	Loss: 0.2421	LR: 0.004000
Training Epoch: 15 [24832/48750]	Loss: 0.2717	LR: 0.004000
Training Epoch: 15 [25088/48750]	Loss: 0.2560	LR: 0.004000
Training Epoch: 15 [25344/48750]	Loss: 0.2847	LR: 0.004000
Training Epoch: 15 [25600/48750]	Loss: 0.2971	LR: 0.004000
Training Epoch: 15 [25856/48750]	Loss: 0.2371	LR: 0.004000
Training Epoch: 15 [26112/48750]	Loss: 0.2187	LR: 0.004000
Training Epoch: 15 [26368/48750]	Loss: 0.2222	LR: 0.004000
Training Epoch: 15 [26624/48750]	Loss: 0.3250	LR: 0.004000
Training Epoch: 15 [26880/48750]	Loss: 0.2083	LR: 0.004000
Training Epoch: 15 [27136/48750]	Loss: 0.3350	LR: 0.004000
Training Epoch: 15 [27392/48750]	Loss: 0.3634	LR: 0.004000
Training Epoch: 15 [27648/48750]	Loss: 0.2875	LR: 0.004000
Training Epoch: 15 [27904/48750]	Loss: 0.2881	LR: 0.004000
Training Epoch: 15 [28160/48750]	Loss: 0.2590	LR: 0.004000
Training Epoch: 15 [28416/48750]	Loss: 0.3165	LR: 0.004000
Training Epoch: 15 [28672/48750]	Loss: 0.3101	LR: 0.004000
Training Epoch: 15 [28928/48750]	Loss: 0.2158	LR: 0.004000
Training Epoch: 15 [29184/48750]	Loss: 0.3152	LR: 0.004000
Training Epoch: 15 [29440/48750]	Loss: 0.2678	LR: 0.004000
Training Epoch: 15 [29696/48750]	Loss: 0.2675	LR: 0.004000
Training Epoch: 15 [29952/48750]	Loss: 0.3104	LR: 0.004000
Training Epoch: 15 [30208/48750]	Loss: 0.2752	LR: 0.004000
Training Epoch: 15 [30464/48750]	Loss: 0.2054	LR: 0.004000
Training Epoch: 15 [30720/48750]	Loss: 0.2451	LR: 0.004000
Training Epoch: 15 [30976/48750]	Loss: 0.2645	LR: 0.004000
Training Epoch: 15 [31232/48750]	Loss: 0.2862	LR: 0.004000
Training Epoch: 15 [31488/48750]	Loss: 0.2332	LR: 0.004000
Training Epoch: 15 [31744/48750]	Loss: 0.2667	LR: 0.004000
Training Epoch: 15 [32000/48750]	Loss: 0.2841	LR: 0.004000
Training Epoch: 15 [32256/48750]	Loss: 0.3461	LR: 0.004000
Training Epoch: 15 [32512/48750]	Loss: 0.2754	LR: 0.004000
Training Epoch: 15 [32768/48750]	Loss: 0.2340	LR: 0.004000
Training Epoch: 15 [33024/48750]	Loss: 0.3173	LR: 0.004000
Training Epoch: 15 [33280/48750]	Loss: 0.2966	LR: 0.004000
Training Epoch: 15 [33536/48750]	Loss: 0.3274	LR: 0.004000
Training Epoch: 15 [33792/48750]	Loss: 0.2682	LR: 0.004000
Training Epoch: 15 [34048/48750]	Loss: 0.2903	LR: 0.004000
Training Epoch: 15 [34304/48750]	Loss: 0.2553	LR: 0.004000
Training Epoch: 15 [34560/48750]	Loss: 0.2429	LR: 0.004000
Training Epoch: 15 [34816/48750]	Loss: 0.3063	LR: 0.004000
Training Epoch: 15 [35072/48750]	Loss: 0.3184	LR: 0.004000
Training Epoch: 15 [35328/48750]	Loss: 0.2669	LR: 0.004000
Training Epoch: 15 [35584/48750]	Loss: 0.2612	LR: 0.004000
Training Epoch: 15 [35840/48750]	Loss: 0.2964	LR: 0.004000
Training Epoch: 15 [36096/48750]	Loss: 0.2883	LR: 0.004000
Training Epoch: 15 [36352/48750]	Loss: 0.2965	LR: 0.004000
Training Epoch: 15 [36608/48750]	Loss: 0.2708	LR: 0.004000
Training Epoch: 15 [36864/48750]	Loss: 0.2303	LR: 0.004000
Training Epoch: 15 [37120/48750]	Loss: 0.2047	LR: 0.004000
Training Epoch: 15 [37376/48750]	Loss: 0.3100	LR: 0.004000
Training Epoch: 15 [37632/48750]	Loss: 0.2555	LR: 0.004000
Training Epoch: 15 [37888/48750]	Loss: 0.3450	LR: 0.004000
Training Epoch: 15 [38144/48750]	Loss: 0.2490	LR: 0.004000
Training Epoch: 15 [38400/48750]	Loss: 0.2719	LR: 0.004000
Training Epoch: 15 [38656/48750]	Loss: 0.3459	LR: 0.004000
Training Epoch: 15 [38912/48750]	Loss: 0.2675	LR: 0.004000
Training Epoch: 15 [39168/48750]	Loss: 0.2270	LR: 0.004000
Training Epoch: 15 [39424/48750]	Loss: 0.2819	LR: 0.004000
Training Epoch: 15 [39680/48750]	Loss: 0.2388	LR: 0.004000
Training Epoch: 15 [39936/48750]	Loss: 0.2537	LR: 0.004000
Training Epoch: 15 [40192/48750]	Loss: 0.3363	LR: 0.004000
Training Epoch: 15 [40448/48750]	Loss: 0.3243	LR: 0.004000
Training Epoch: 15 [40704/48750]	Loss: 0.2853	LR: 0.004000
Training Epoch: 15 [40960/48750]	Loss: 0.2610	LR: 0.004000
Training Epoch: 15 [41216/48750]	Loss: 0.3757	LR: 0.004000
Training Epoch: 15 [41472/48750]	Loss: 0.2482	LR: 0.004000
Training Epoch: 15 [41728/48750]	Loss: 0.2744	LR: 0.004000
Training Epoch: 15 [41984/48750]	Loss: 0.2738	LR: 0.004000
Training Epoch: 15 [42240/48750]	Loss: 0.2149	LR: 0.004000
Training Epoch: 15 [42496/48750]	Loss: 0.3584	LR: 0.004000
Training Epoch: 15 [42752/48750]	Loss: 0.1859	LR: 0.004000
Training Epoch: 15 [43008/48750]	Loss: 0.3167	LR: 0.004000
Training Epoch: 15 [43264/48750]	Loss: 0.2770	LR: 0.004000
Training Epoch: 15 [43520/48750]	Loss: 0.3056	LR: 0.004000
Training Epoch: 15 [43776/48750]	Loss: 0.2611	LR: 0.004000
Training Epoch: 15 [44032/48750]	Loss: 0.2692	LR: 0.004000
Training Epoch: 15 [44288/48750]	Loss: 0.2919	LR: 0.004000
Training Epoch: 15 [44544/48750]	Loss: 0.2702	LR: 0.004000
Training Epoch: 15 [44800/48750]	Loss: 0.2258	LR: 0.004000
Training Epoch: 15 [45056/48750]	Loss: 0.2147	LR: 0.004000
Training Epoch: 15 [45312/48750]	Loss: 0.2903	LR: 0.004000
Training Epoch: 15 [45568/48750]	Loss: 0.3151	LR: 0.004000
Training Epoch: 15 [45824/48750]	Loss: 0.3399	LR: 0.004000
Training Epoch: 15 [46080/48750]	Loss: 0.3184	LR: 0.004000
Training Epoch: 15 [46336/48750]	Loss: 0.2567	LR: 0.004000
Training Epoch: 15 [46592/48750]	Loss: 0.3282	LR: 0.004000
Training Epoch: 15 [46848/48750]	Loss: 0.2289	LR: 0.004000
Training Epoch: 15 [47104/48750]	Loss: 0.2554	LR: 0.004000
Training Epoch: 15 [47360/48750]	Loss: 0.2207	LR: 0.004000
Training Epoch: 15 [47616/48750]	Loss: 0.2407	LR: 0.004000
Training Epoch: 15 [47872/48750]	Loss: 0.3396	LR: 0.004000
Training Epoch: 15 [48128/48750]	Loss: 0.1752	LR: 0.004000
Training Epoch: 15 [48384/48750]	Loss: 0.3030	LR: 0.004000
Training Epoch: 15 [48640/48750]	Loss: 0.2609	LR: 0.004000
Training Epoch: 15 [48750/48750]	Loss: 0.4048	LR: 0.004000
Epoch 15 - Average Train Loss: 0.2757, Train Accuracy: 0.9045
Epoch 15 training time consumed: 29.13s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0013, Accuracy: 0.8919, Time consumed:0.84s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_14h_23m_58s/ResNet18-Cifar10-seed1-ret75-15-best.pth
Training Epoch: 16 [256/48750]	Loss: 0.2167	LR: 0.000800
Training Epoch: 16 [512/48750]	Loss: 0.2258	LR: 0.000800
Training Epoch: 16 [768/48750]	Loss: 0.3263	LR: 0.000800
Training Epoch: 16 [1024/48750]	Loss: 0.2367	LR: 0.000800
Training Epoch: 16 [1280/48750]	Loss: 0.2544	LR: 0.000800
Training Epoch: 16 [1536/48750]	Loss: 0.2783	LR: 0.000800
Training Epoch: 16 [1792/48750]	Loss: 0.2909	LR: 0.000800
Training Epoch: 16 [2048/48750]	Loss: 0.2349	LR: 0.000800
Training Epoch: 16 [2304/48750]	Loss: 0.2466	LR: 0.000800
Training Epoch: 16 [2560/48750]	Loss: 0.3524	LR: 0.000800
Training Epoch: 16 [2816/48750]	Loss: 0.2935	LR: 0.000800
Training Epoch: 16 [3072/48750]	Loss: 0.2525	LR: 0.000800
Training Epoch: 16 [3328/48750]	Loss: 0.2197	LR: 0.000800
Training Epoch: 16 [3584/48750]	Loss: 0.2815	LR: 0.000800
Training Epoch: 16 [3840/48750]	Loss: 0.2924	LR: 0.000800
Training Epoch: 16 [4096/48750]	Loss: 0.2912	LR: 0.000800
Training Epoch: 16 [4352/48750]	Loss: 0.2533	LR: 0.000800
Training Epoch: 16 [4608/48750]	Loss: 0.2639	LR: 0.000800
Training Epoch: 16 [4864/48750]	Loss: 0.3386	LR: 0.000800
Training Epoch: 16 [5120/48750]	Loss: 0.2830	LR: 0.000800
Training Epoch: 16 [5376/48750]	Loss: 0.2887	LR: 0.000800
Training Epoch: 16 [5632/48750]	Loss: 0.2084	LR: 0.000800
Training Epoch: 16 [5888/48750]	Loss: 0.2514	LR: 0.000800
Training Epoch: 16 [6144/48750]	Loss: 0.2713	LR: 0.000800
Training Epoch: 16 [6400/48750]	Loss: 0.2260	LR: 0.000800
Training Epoch: 16 [6656/48750]	Loss: 0.2383	LR: 0.000800
Training Epoch: 16 [6912/48750]	Loss: 0.2006	LR: 0.000800
Training Epoch: 16 [7168/48750]	Loss: 0.2856	LR: 0.000800
Training Epoch: 16 [7424/48750]	Loss: 0.2341	LR: 0.000800
Training Epoch: 16 [7680/48750]	Loss: 0.2503	LR: 0.000800
Training Epoch: 16 [7936/48750]	Loss: 0.2649	LR: 0.000800
Training Epoch: 16 [8192/48750]	Loss: 0.3204	LR: 0.000800
Training Epoch: 16 [8448/48750]	Loss: 0.2355	LR: 0.000800
Training Epoch: 16 [8704/48750]	Loss: 0.2852	LR: 0.000800
Training Epoch: 16 [8960/48750]	Loss: 0.2158	LR: 0.000800
Training Epoch: 16 [9216/48750]	Loss: 0.2435	LR: 0.000800
Training Epoch: 16 [9472/48750]	Loss: 0.2729	LR: 0.000800
Training Epoch: 16 [9728/48750]	Loss: 0.2696	LR: 0.000800
Training Epoch: 16 [9984/48750]	Loss: 0.2879	LR: 0.000800
Training Epoch: 16 [10240/48750]	Loss: 0.2175	LR: 0.000800
Training Epoch: 16 [10496/48750]	Loss: 0.3073	LR: 0.000800
Training Epoch: 16 [10752/48750]	Loss: 0.2320	LR: 0.000800
Training Epoch: 16 [11008/48750]	Loss: 0.3154	LR: 0.000800
Training Epoch: 16 [11264/48750]	Loss: 0.2087	LR: 0.000800
Training Epoch: 16 [11520/48750]	Loss: 0.2499	LR: 0.000800
Training Epoch: 16 [11776/48750]	Loss: 0.2081	LR: 0.000800
Training Epoch: 16 [12032/48750]	Loss: 0.3102	LR: 0.000800
Training Epoch: 16 [12288/48750]	Loss: 0.3038	LR: 0.000800
Training Epoch: 16 [12544/48750]	Loss: 0.2813	LR: 0.000800
Training Epoch: 16 [12800/48750]	Loss: 0.2292	LR: 0.000800
Training Epoch: 16 [13056/48750]	Loss: 0.1825	LR: 0.000800
Training Epoch: 16 [13312/48750]	Loss: 0.4124	LR: 0.000800
Training Epoch: 16 [13568/48750]	Loss: 0.2773	LR: 0.000800
Training Epoch: 16 [13824/48750]	Loss: 0.3059	LR: 0.000800
Training Epoch: 16 [14080/48750]	Loss: 0.1982	LR: 0.000800
Training Epoch: 16 [14336/48750]	Loss: 0.3092	LR: 0.000800
Training Epoch: 16 [14592/48750]	Loss: 0.2230	LR: 0.000800
Training Epoch: 16 [14848/48750]	Loss: 0.2927	LR: 0.000800
Training Epoch: 16 [15104/48750]	Loss: 0.2827	LR: 0.000800
Training Epoch: 16 [15360/48750]	Loss: 0.2666	LR: 0.000800
Training Epoch: 16 [15616/48750]	Loss: 0.3484	LR: 0.000800
Training Epoch: 16 [15872/48750]	Loss: 0.2167	LR: 0.000800
Training Epoch: 16 [16128/48750]	Loss: 0.2409	LR: 0.000800
Training Epoch: 16 [16384/48750]	Loss: 0.2091	LR: 0.000800
Training Epoch: 16 [16640/48750]	Loss: 0.2894	LR: 0.000800
Training Epoch: 16 [16896/48750]	Loss: 0.2712	LR: 0.000800
Training Epoch: 16 [17152/48750]	Loss: 0.2555	LR: 0.000800
Training Epoch: 16 [17408/48750]	Loss: 0.2510	LR: 0.000800
Training Epoch: 16 [17664/48750]	Loss: 0.1919	LR: 0.000800
Training Epoch: 16 [17920/48750]	Loss: 0.2044	LR: 0.000800
Training Epoch: 16 [18176/48750]	Loss: 0.2687	LR: 0.000800
Training Epoch: 16 [18432/48750]	Loss: 0.2343	LR: 0.000800
Training Epoch: 16 [18688/48750]	Loss: 0.2480	LR: 0.000800
Training Epoch: 16 [18944/48750]	Loss: 0.2655	LR: 0.000800
Training Epoch: 16 [19200/48750]	Loss: 0.2617	LR: 0.000800
Training Epoch: 16 [19456/48750]	Loss: 0.2739	LR: 0.000800
Training Epoch: 16 [19712/48750]	Loss: 0.2950	LR: 0.000800
Training Epoch: 16 [19968/48750]	Loss: 0.2279	LR: 0.000800
Training Epoch: 16 [20224/48750]	Loss: 0.3532	LR: 0.000800
Training Epoch: 16 [20480/48750]	Loss: 0.2432	LR: 0.000800
Training Epoch: 16 [20736/48750]	Loss: 0.2760	LR: 0.000800
Training Epoch: 16 [20992/48750]	Loss: 0.2789	LR: 0.000800
Training Epoch: 16 [21248/48750]	Loss: 0.3622	LR: 0.000800
Training Epoch: 16 [21504/48750]	Loss: 0.2197	LR: 0.000800
Training Epoch: 16 [21760/48750]	Loss: 0.3118	LR: 0.000800
Training Epoch: 16 [22016/48750]	Loss: 0.3138	LR: 0.000800
Training Epoch: 16 [22272/48750]	Loss: 0.2653	LR: 0.000800
Training Epoch: 16 [22528/48750]	Loss: 0.2236	LR: 0.000800
Training Epoch: 16 [22784/48750]	Loss: 0.2843	LR: 0.000800
Training Epoch: 16 [23040/48750]	Loss: 0.3095	LR: 0.000800
Training Epoch: 16 [23296/48750]	Loss: 0.2632	LR: 0.000800
Training Epoch: 16 [23552/48750]	Loss: 0.2673	LR: 0.000800
Training Epoch: 16 [23808/48750]	Loss: 0.2442	LR: 0.000800
Training Epoch: 16 [24064/48750]	Loss: 0.2632	LR: 0.000800
Training Epoch: 16 [24320/48750]	Loss: 0.2904	LR: 0.000800
Training Epoch: 16 [24576/48750]	Loss: 0.2928	LR: 0.000800
Training Epoch: 16 [24832/48750]	Loss: 0.2442	LR: 0.000800
Training Epoch: 16 [25088/48750]	Loss: 0.2006	LR: 0.000800
Training Epoch: 16 [25344/48750]	Loss: 0.3159	LR: 0.000800
Training Epoch: 16 [25600/48750]	Loss: 0.2702	LR: 0.000800
Training Epoch: 16 [25856/48750]	Loss: 0.3042	LR: 0.000800
Training Epoch: 16 [26112/48750]	Loss: 0.2910	LR: 0.000800
Training Epoch: 16 [26368/48750]	Loss: 0.2616	LR: 0.000800
Training Epoch: 16 [26624/48750]	Loss: 0.3569	LR: 0.000800
Training Epoch: 16 [26880/48750]	Loss: 0.2335	LR: 0.000800
Training Epoch: 16 [27136/48750]	Loss: 0.3132	LR: 0.000800
Training Epoch: 16 [27392/48750]	Loss: 0.2851	LR: 0.000800
Training Epoch: 16 [27648/48750]	Loss: 0.2078	LR: 0.000800
Training Epoch: 16 [27904/48750]	Loss: 0.2085	LR: 0.000800
Training Epoch: 16 [28160/48750]	Loss: 0.1880	LR: 0.000800
Training Epoch: 16 [28416/48750]	Loss: 0.2325	LR: 0.000800
Training Epoch: 16 [28672/48750]	Loss: 0.2858	LR: 0.000800
Training Epoch: 16 [28928/48750]	Loss: 0.3162	LR: 0.000800
Training Epoch: 16 [29184/48750]	Loss: 0.2282	LR: 0.000800
Training Epoch: 16 [29440/48750]	Loss: 0.2433	LR: 0.000800
Training Epoch: 16 [29696/48750]	Loss: 0.3379	LR: 0.000800
Training Epoch: 16 [29952/48750]	Loss: 0.3932	LR: 0.000800
Training Epoch: 16 [30208/48750]	Loss: 0.2718	LR: 0.000800
Training Epoch: 16 [30464/48750]	Loss: 0.2166	LR: 0.000800
Training Epoch: 16 [30720/48750]	Loss: 0.2529	LR: 0.000800
Training Epoch: 16 [30976/48750]	Loss: 0.2185	LR: 0.000800
Training Epoch: 16 [31232/48750]	Loss: 0.4193	LR: 0.000800
Training Epoch: 16 [31488/48750]	Loss: 0.3244	LR: 0.000800
Training Epoch: 16 [31744/48750]	Loss: 0.1753	LR: 0.000800
Training Epoch: 16 [32000/48750]	Loss: 0.1939	LR: 0.000800
Training Epoch: 16 [32256/48750]	Loss: 0.2727	LR: 0.000800
Training Epoch: 16 [32512/48750]	Loss: 0.3061	LR: 0.000800
Training Epoch: 16 [32768/48750]	Loss: 0.2924	LR: 0.000800
Training Epoch: 16 [33024/48750]	Loss: 0.2664	LR: 0.000800
Training Epoch: 16 [33280/48750]	Loss: 0.3009	LR: 0.000800
Training Epoch: 16 [33536/48750]	Loss: 0.2558	LR: 0.000800
Training Epoch: 16 [33792/48750]	Loss: 0.3709	LR: 0.000800
Training Epoch: 16 [34048/48750]	Loss: 0.2276	LR: 0.000800
Training Epoch: 16 [34304/48750]	Loss: 0.2363	LR: 0.000800
Training Epoch: 16 [34560/48750]	Loss: 0.3117	LR: 0.000800
Training Epoch: 16 [34816/48750]	Loss: 0.2052	LR: 0.000800
Training Epoch: 16 [35072/48750]	Loss: 0.2771	LR: 0.000800
Training Epoch: 16 [35328/48750]	Loss: 0.2059	LR: 0.000800
Training Epoch: 16 [35584/48750]	Loss: 0.2336	LR: 0.000800
Training Epoch: 16 [35840/48750]	Loss: 0.2024	LR: 0.000800
Training Epoch: 16 [36096/48750]	Loss: 0.2511	LR: 0.000800
Training Epoch: 16 [36352/48750]	Loss: 0.2716	LR: 0.000800
Training Epoch: 16 [36608/48750]	Loss: 0.2699	LR: 0.000800
Training Epoch: 16 [36864/48750]	Loss: 0.2947	LR: 0.000800
Training Epoch: 16 [37120/48750]	Loss: 0.2940	LR: 0.000800
Training Epoch: 16 [37376/48750]	Loss: 0.3005	LR: 0.000800
Training Epoch: 16 [37632/48750]	Loss: 0.2409	LR: 0.000800
Training Epoch: 16 [37888/48750]	Loss: 0.2368	LR: 0.000800
Training Epoch: 16 [38144/48750]	Loss: 0.2360	LR: 0.000800
Training Epoch: 16 [38400/48750]	Loss: 0.3400	LR: 0.000800
Training Epoch: 16 [38656/48750]	Loss: 0.2624	LR: 0.000800
Training Epoch: 16 [38912/48750]	Loss: 0.3036	LR: 0.000800
Training Epoch: 16 [39168/48750]	Loss: 0.2308	LR: 0.000800
Training Epoch: 16 [39424/48750]	Loss: 0.2190	LR: 0.000800
Training Epoch: 16 [39680/48750]	Loss: 0.3017	LR: 0.000800
Training Epoch: 16 [39936/48750]	Loss: 0.2968	LR: 0.000800
Training Epoch: 16 [40192/48750]	Loss: 0.3048	LR: 0.000800
Training Epoch: 16 [40448/48750]	Loss: 0.3172	LR: 0.000800
Training Epoch: 16 [40704/48750]	Loss: 0.2385	LR: 0.000800
Training Epoch: 16 [40960/48750]	Loss: 0.2018	LR: 0.000800
Training Epoch: 16 [41216/48750]	Loss: 0.2830	LR: 0.000800
Training Epoch: 16 [41472/48750]	Loss: 0.2900	LR: 0.000800
Training Epoch: 16 [41728/48750]	Loss: 0.2959	LR: 0.000800
Training Epoch: 16 [41984/48750]	Loss: 0.2530	LR: 0.000800
Training Epoch: 16 [42240/48750]	Loss: 0.2255	LR: 0.000800
Training Epoch: 16 [42496/48750]	Loss: 0.2213	LR: 0.000800
Training Epoch: 16 [42752/48750]	Loss: 0.2809	LR: 0.000800
Training Epoch: 16 [43008/48750]	Loss: 0.2297	LR: 0.000800
Training Epoch: 16 [43264/48750]	Loss: 0.2239	LR: 0.000800
Training Epoch: 16 [43520/48750]	Loss: 0.2761	LR: 0.000800
Training Epoch: 16 [43776/48750]	Loss: 0.2930	LR: 0.000800
Training Epoch: 16 [44032/48750]	Loss: 0.2801	LR: 0.000800
Training Epoch: 16 [44288/48750]	Loss: 0.2965	LR: 0.000800
Training Epoch: 16 [44544/48750]	Loss: 0.2447	LR: 0.000800
Training Epoch: 16 [44800/48750]	Loss: 0.2874	LR: 0.000800
Training Epoch: 16 [45056/48750]	Loss: 0.2637	LR: 0.000800
Training Epoch: 16 [45312/48750]	Loss: 0.3183	LR: 0.000800
Training Epoch: 16 [45568/48750]	Loss: 0.2735	LR: 0.000800
Training Epoch: 16 [45824/48750]	Loss: 0.2412	LR: 0.000800
Training Epoch: 16 [46080/48750]	Loss: 0.3041	LR: 0.000800
Training Epoch: 16 [46336/48750]	Loss: 0.4069	LR: 0.000800
Training Epoch: 16 [46592/48750]	Loss: 0.3021	LR: 0.000800
Training Epoch: 16 [46848/48750]	Loss: 0.2757	LR: 0.000800
Training Epoch: 16 [47104/48750]	Loss: 0.2746	LR: 0.000800
Training Epoch: 16 [47360/48750]	Loss: 0.2934	LR: 0.000800
Training Epoch: 16 [47616/48750]	Loss: 0.2278	LR: 0.000800
Training Epoch: 16 [47872/48750]	Loss: 0.2480	LR: 0.000800
Training Epoch: 16 [48128/48750]	Loss: 0.2616	LR: 0.000800
Training Epoch: 16 [48384/48750]	Loss: 0.2114	LR: 0.000800
Training Epoch: 16 [48640/48750]	Loss: 0.2713	LR: 0.000800
Training Epoch: 16 [48750/48750]	Loss: 0.2364	LR: 0.000800
Epoch 16 - Average Train Loss: 0.2675, Train Accuracy: 0.9063
Epoch 16 training time consumed: 29.27s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0013, Accuracy: 0.8920, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_14h_23m_58s/ResNet18-Cifar10-seed1-ret75-16-best.pth
Training Epoch: 17 [256/48750]	Loss: 0.2842	LR: 0.000800
Training Epoch: 17 [512/48750]	Loss: 0.2816	LR: 0.000800
Training Epoch: 17 [768/48750]	Loss: 0.2307	LR: 0.000800
Training Epoch: 17 [1024/48750]	Loss: 0.1971	LR: 0.000800
Training Epoch: 17 [1280/48750]	Loss: 0.1858	LR: 0.000800
Training Epoch: 17 [1536/48750]	Loss: 0.2659	LR: 0.000800
Training Epoch: 17 [1792/48750]	Loss: 0.2660	LR: 0.000800
Training Epoch: 17 [2048/48750]	Loss: 0.2798	LR: 0.000800
Training Epoch: 17 [2304/48750]	Loss: 0.2793	LR: 0.000800
Training Epoch: 17 [2560/48750]	Loss: 0.2953	LR: 0.000800
Training Epoch: 17 [2816/48750]	Loss: 0.2685	LR: 0.000800
Training Epoch: 17 [3072/48750]	Loss: 0.2660	LR: 0.000800
Training Epoch: 17 [3328/48750]	Loss: 0.2308	LR: 0.000800
Training Epoch: 17 [3584/48750]	Loss: 0.2788	LR: 0.000800
Training Epoch: 17 [3840/48750]	Loss: 0.2286	LR: 0.000800
Training Epoch: 17 [4096/48750]	Loss: 0.2420	LR: 0.000800
Training Epoch: 17 [4352/48750]	Loss: 0.2844	LR: 0.000800
Training Epoch: 17 [4608/48750]	Loss: 0.3355	LR: 0.000800
Training Epoch: 17 [4864/48750]	Loss: 0.2186	LR: 0.000800
Training Epoch: 17 [5120/48750]	Loss: 0.2324	LR: 0.000800
Training Epoch: 17 [5376/48750]	Loss: 0.3203	LR: 0.000800
Training Epoch: 17 [5632/48750]	Loss: 0.1810	LR: 0.000800
Training Epoch: 17 [5888/48750]	Loss: 0.2938	LR: 0.000800
Training Epoch: 17 [6144/48750]	Loss: 0.2615	LR: 0.000800
Training Epoch: 17 [6400/48750]	Loss: 0.3016	LR: 0.000800
Training Epoch: 17 [6656/48750]	Loss: 0.1973	LR: 0.000800
Training Epoch: 17 [6912/48750]	Loss: 0.3242	LR: 0.000800
Training Epoch: 17 [7168/48750]	Loss: 0.1809	LR: 0.000800
Training Epoch: 17 [7424/48750]	Loss: 0.2343	LR: 0.000800
Training Epoch: 17 [7680/48750]	Loss: 0.2994	LR: 0.000800
Training Epoch: 17 [7936/48750]	Loss: 0.2504	LR: 0.000800
Training Epoch: 17 [8192/48750]	Loss: 0.2438	LR: 0.000800
Training Epoch: 17 [8448/48750]	Loss: 0.2688	LR: 0.000800
Training Epoch: 17 [8704/48750]	Loss: 0.2385	LR: 0.000800
Training Epoch: 17 [8960/48750]	Loss: 0.2181	LR: 0.000800
Training Epoch: 17 [9216/48750]	Loss: 0.2981	LR: 0.000800
Training Epoch: 17 [9472/48750]	Loss: 0.2710	LR: 0.000800
Training Epoch: 17 [9728/48750]	Loss: 0.3774	LR: 0.000800
Training Epoch: 17 [9984/48750]	Loss: 0.2722	LR: 0.000800
Training Epoch: 17 [10240/48750]	Loss: 0.3295	LR: 0.000800
Training Epoch: 17 [10496/48750]	Loss: 0.3122	LR: 0.000800
Training Epoch: 17 [10752/48750]	Loss: 0.2948	LR: 0.000800
Training Epoch: 17 [11008/48750]	Loss: 0.1866	LR: 0.000800
Training Epoch: 17 [11264/48750]	Loss: 0.3190	LR: 0.000800
Training Epoch: 17 [11520/48750]	Loss: 0.2740	LR: 0.000800
Training Epoch: 17 [11776/48750]	Loss: 0.1860	LR: 0.000800
Training Epoch: 17 [12032/48750]	Loss: 0.2171	LR: 0.000800
Training Epoch: 17 [12288/48750]	Loss: 0.2753	LR: 0.000800
Training Epoch: 17 [12544/48750]	Loss: 0.3142	LR: 0.000800
Training Epoch: 17 [12800/48750]	Loss: 0.2173	LR: 0.000800
Training Epoch: 17 [13056/48750]	Loss: 0.2123	LR: 0.000800
Training Epoch: 17 [13312/48750]	Loss: 0.3179	LR: 0.000800
Training Epoch: 17 [13568/48750]	Loss: 0.2685	LR: 0.000800
Training Epoch: 17 [13824/48750]	Loss: 0.2647	LR: 0.000800
Training Epoch: 17 [14080/48750]	Loss: 0.2267	LR: 0.000800
Training Epoch: 17 [14336/48750]	Loss: 0.3087	LR: 0.000800
Training Epoch: 17 [14592/48750]	Loss: 0.3403	LR: 0.000800
Training Epoch: 17 [14848/48750]	Loss: 0.2037	LR: 0.000800
Training Epoch: 17 [15104/48750]	Loss: 0.3254	LR: 0.000800
Training Epoch: 17 [15360/48750]	Loss: 0.2708	LR: 0.000800
Training Epoch: 17 [15616/48750]	Loss: 0.2923	LR: 0.000800
Training Epoch: 17 [15872/48750]	Loss: 0.3332	LR: 0.000800
Training Epoch: 17 [16128/48750]	Loss: 0.3333	LR: 0.000800
Training Epoch: 17 [16384/48750]	Loss: 0.3182	LR: 0.000800
Training Epoch: 17 [16640/48750]	Loss: 0.2606	LR: 0.000800
Training Epoch: 17 [16896/48750]	Loss: 0.2902	LR: 0.000800
Training Epoch: 17 [17152/48750]	Loss: 0.2487	LR: 0.000800
Training Epoch: 17 [17408/48750]	Loss: 0.2555	LR: 0.000800
Training Epoch: 17 [17664/48750]	Loss: 0.2492	LR: 0.000800
Training Epoch: 17 [17920/48750]	Loss: 0.2592	LR: 0.000800
Training Epoch: 17 [18176/48750]	Loss: 0.2208	LR: 0.000800
Training Epoch: 17 [18432/48750]	Loss: 0.2673	LR: 0.000800
Training Epoch: 17 [18688/48750]	Loss: 0.2552	LR: 0.000800
Training Epoch: 17 [18944/48750]	Loss: 0.2606	LR: 0.000800
Training Epoch: 17 [19200/48750]	Loss: 0.2483	LR: 0.000800
Training Epoch: 17 [19456/48750]	Loss: 0.3205	LR: 0.000800
Training Epoch: 17 [19712/48750]	Loss: 0.2855	LR: 0.000800
Training Epoch: 17 [19968/48750]	Loss: 0.2892	LR: 0.000800
Training Epoch: 17 [20224/48750]	Loss: 0.2601	LR: 0.000800
Training Epoch: 17 [20480/48750]	Loss: 0.2266	LR: 0.000800
Training Epoch: 17 [20736/48750]	Loss: 0.2799	LR: 0.000800
Training Epoch: 17 [20992/48750]	Loss: 0.2932	LR: 0.000800
Training Epoch: 17 [21248/48750]	Loss: 0.2833	LR: 0.000800
Training Epoch: 17 [21504/48750]	Loss: 0.3501	LR: 0.000800
Training Epoch: 17 [21760/48750]	Loss: 0.2361	LR: 0.000800
Training Epoch: 17 [22016/48750]	Loss: 0.2277	LR: 0.000800
Training Epoch: 17 [22272/48750]	Loss: 0.1875	LR: 0.000800
Training Epoch: 17 [22528/48750]	Loss: 0.2813	LR: 0.000800
Training Epoch: 17 [22784/48750]	Loss: 0.2545	LR: 0.000800
Training Epoch: 17 [23040/48750]	Loss: 0.2184	LR: 0.000800
Training Epoch: 17 [23296/48750]	Loss: 0.3632	LR: 0.000800
Training Epoch: 17 [23552/48750]	Loss: 0.2217	LR: 0.000800
Training Epoch: 17 [23808/48750]	Loss: 0.1906	LR: 0.000800
Training Epoch: 17 [24064/48750]	Loss: 0.3009	LR: 0.000800
Training Epoch: 17 [24320/48750]	Loss: 0.2630	LR: 0.000800
Training Epoch: 17 [24576/48750]	Loss: 0.3199	LR: 0.000800
Training Epoch: 17 [24832/48750]	Loss: 0.3212	LR: 0.000800
Training Epoch: 17 [25088/48750]	Loss: 0.2793	LR: 0.000800
Training Epoch: 17 [25344/48750]	Loss: 0.2057	LR: 0.000800
Training Epoch: 17 [25600/48750]	Loss: 0.2211	LR: 0.000800
Training Epoch: 17 [25856/48750]	Loss: 0.2223	LR: 0.000800
Training Epoch: 17 [26112/48750]	Loss: 0.2482	LR: 0.000800
Training Epoch: 17 [26368/48750]	Loss: 0.2536	LR: 0.000800
Training Epoch: 17 [26624/48750]	Loss: 0.2463	LR: 0.000800
Training Epoch: 17 [26880/48750]	Loss: 0.2214	LR: 0.000800
Training Epoch: 17 [27136/48750]	Loss: 0.2424	LR: 0.000800
Training Epoch: 17 [27392/48750]	Loss: 0.2612	LR: 0.000800
Training Epoch: 17 [27648/48750]	Loss: 0.2650	LR: 0.000800
Training Epoch: 17 [27904/48750]	Loss: 0.2858	LR: 0.000800
Training Epoch: 17 [28160/48750]	Loss: 0.2611	LR: 0.000800
Training Epoch: 17 [28416/48750]	Loss: 0.3400	LR: 0.000800
Training Epoch: 17 [28672/48750]	Loss: 0.2239	LR: 0.000800
Training Epoch: 17 [28928/48750]	Loss: 0.2373	LR: 0.000800
Training Epoch: 17 [29184/48750]	Loss: 0.2986	LR: 0.000800
Training Epoch: 17 [29440/48750]	Loss: 0.2609	LR: 0.000800
Training Epoch: 17 [29696/48750]	Loss: 0.2610	LR: 0.000800
Training Epoch: 17 [29952/48750]	Loss: 0.1668	LR: 0.000800
Training Epoch: 17 [30208/48750]	Loss: 0.2248	LR: 0.000800
Training Epoch: 17 [30464/48750]	Loss: 0.3734	LR: 0.000800
Training Epoch: 17 [30720/48750]	Loss: 0.2902	LR: 0.000800
Training Epoch: 17 [30976/48750]	Loss: 0.2156	LR: 0.000800
Training Epoch: 17 [31232/48750]	Loss: 0.1990	LR: 0.000800
Training Epoch: 17 [31488/48750]	Loss: 0.2111	LR: 0.000800
Training Epoch: 17 [31744/48750]	Loss: 0.2534	LR: 0.000800
Training Epoch: 17 [32000/48750]	Loss: 0.2798	LR: 0.000800
Training Epoch: 17 [32256/48750]	Loss: 0.2339	LR: 0.000800
Training Epoch: 17 [32512/48750]	Loss: 0.3356	LR: 0.000800
Training Epoch: 17 [32768/48750]	Loss: 0.2196	LR: 0.000800
Training Epoch: 17 [33024/48750]	Loss: 0.2208	LR: 0.000800
Training Epoch: 17 [33280/48750]	Loss: 0.2614	LR: 0.000800
Training Epoch: 17 [33536/48750]	Loss: 0.3157	LR: 0.000800
Training Epoch: 17 [33792/48750]	Loss: 0.3023	LR: 0.000800
Training Epoch: 17 [34048/48750]	Loss: 0.1951	LR: 0.000800
Training Epoch: 17 [34304/48750]	Loss: 0.3004	LR: 0.000800
Training Epoch: 17 [34560/48750]	Loss: 0.2895	LR: 0.000800
Training Epoch: 17 [34816/48750]	Loss: 0.2640	LR: 0.000800
Training Epoch: 17 [35072/48750]	Loss: 0.2834	LR: 0.000800
Training Epoch: 17 [35328/48750]	Loss: 0.2985	LR: 0.000800
Training Epoch: 17 [35584/48750]	Loss: 0.2459	LR: 0.000800
Training Epoch: 17 [35840/48750]	Loss: 0.2644	LR: 0.000800
Training Epoch: 17 [36096/48750]	Loss: 0.2228	LR: 0.000800
Training Epoch: 17 [36352/48750]	Loss: 0.2276	LR: 0.000800
Training Epoch: 17 [36608/48750]	Loss: 0.2125	LR: 0.000800
Training Epoch: 17 [36864/48750]	Loss: 0.2588	LR: 0.000800
Training Epoch: 17 [37120/48750]	Loss: 0.2217	LR: 0.000800
Training Epoch: 17 [37376/48750]	Loss: 0.2381	LR: 0.000800
Training Epoch: 17 [37632/48750]	Loss: 0.2711	LR: 0.000800
Training Epoch: 17 [37888/48750]	Loss: 0.2844	LR: 0.000800
Training Epoch: 17 [38144/48750]	Loss: 0.2228	LR: 0.000800
Training Epoch: 17 [38400/48750]	Loss: 0.2158	LR: 0.000800
Training Epoch: 17 [38656/48750]	Loss: 0.2729	LR: 0.000800
Training Epoch: 17 [38912/48750]	Loss: 0.2886	LR: 0.000800
Training Epoch: 17 [39168/48750]	Loss: 0.2499	LR: 0.000800
Training Epoch: 17 [39424/48750]	Loss: 0.2667	LR: 0.000800
Training Epoch: 17 [39680/48750]	Loss: 0.2432	LR: 0.000800
Training Epoch: 17 [39936/48750]	Loss: 0.2949	LR: 0.000800
Training Epoch: 17 [40192/48750]	Loss: 0.2310	LR: 0.000800
Training Epoch: 17 [40448/48750]	Loss: 0.1803	LR: 0.000800
Training Epoch: 17 [40704/48750]	Loss: 0.2294	LR: 0.000800
Training Epoch: 17 [40960/48750]	Loss: 0.3415	LR: 0.000800
Training Epoch: 17 [41216/48750]	Loss: 0.4074	LR: 0.000800
Training Epoch: 17 [41472/48750]	Loss: 0.2131	LR: 0.000800
Training Epoch: 17 [41728/48750]	Loss: 0.2471	LR: 0.000800
Training Epoch: 17 [41984/48750]	Loss: 0.2400	LR: 0.000800
Training Epoch: 17 [42240/48750]	Loss: 0.3066	LR: 0.000800
Training Epoch: 17 [42496/48750]	Loss: 0.2751	LR: 0.000800
Training Epoch: 17 [42752/48750]	Loss: 0.2948	LR: 0.000800
Training Epoch: 17 [43008/48750]	Loss: 0.1716	LR: 0.000800
Training Epoch: 17 [43264/48750]	Loss: 0.2261	LR: 0.000800
Training Epoch: 17 [43520/48750]	Loss: 0.2375	LR: 0.000800
Training Epoch: 17 [43776/48750]	Loss: 0.2578	LR: 0.000800
Training Epoch: 17 [44032/48750]	Loss: 0.2429	LR: 0.000800
Training Epoch: 17 [44288/48750]	Loss: 0.2667	LR: 0.000800
Training Epoch: 17 [44544/48750]	Loss: 0.2895	LR: 0.000800
Training Epoch: 17 [44800/48750]	Loss: 0.2473	LR: 0.000800
Training Epoch: 17 [45056/48750]	Loss: 0.2964	LR: 0.000800
Training Epoch: 17 [45312/48750]	Loss: 0.2761	LR: 0.000800
Training Epoch: 17 [45568/48750]	Loss: 0.2276	LR: 0.000800
Training Epoch: 17 [45824/48750]	Loss: 0.2161	LR: 0.000800
Training Epoch: 17 [46080/48750]	Loss: 0.1975	LR: 0.000800
Training Epoch: 17 [46336/48750]	Loss: 0.2578	LR: 0.000800
Training Epoch: 17 [46592/48750]	Loss: 0.2762	LR: 0.000800
Training Epoch: 17 [46848/48750]	Loss: 0.2793	LR: 0.000800
Training Epoch: 17 [47104/48750]	Loss: 0.2183	LR: 0.000800
Training Epoch: 17 [47360/48750]	Loss: 0.2646	LR: 0.000800
Training Epoch: 17 [47616/48750]	Loss: 0.2353	LR: 0.000800
Training Epoch: 17 [47872/48750]	Loss: 0.3405	LR: 0.000800
Training Epoch: 17 [48128/48750]	Loss: 0.2972	LR: 0.000800
Training Epoch: 17 [48384/48750]	Loss: 0.3084	LR: 0.000800
Training Epoch: 17 [48640/48750]	Loss: 0.2480	LR: 0.000800
Training Epoch: 17 [48750/48750]	Loss: 0.1412	LR: 0.000800
Epoch 17 - Average Train Loss: 0.2620, Train Accuracy: 0.9093
Epoch 17 training time consumed: 29.24s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0013, Accuracy: 0.8941, Time consumed:0.84s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_14h_23m_58s/ResNet18-Cifar10-seed1-ret75-17-best.pth
Training Epoch: 18 [256/48750]	Loss: 0.2292	LR: 0.000800
Training Epoch: 18 [512/48750]	Loss: 0.2234	LR: 0.000800
Training Epoch: 18 [768/48750]	Loss: 0.2745	LR: 0.000800
Training Epoch: 18 [1024/48750]	Loss: 0.2758	LR: 0.000800
Training Epoch: 18 [1280/48750]	Loss: 0.2640	LR: 0.000800
Training Epoch: 18 [1536/48750]	Loss: 0.2569	LR: 0.000800
Training Epoch: 18 [1792/48750]	Loss: 0.2809	LR: 0.000800
Training Epoch: 18 [2048/48750]	Loss: 0.2430	LR: 0.000800
Training Epoch: 18 [2304/48750]	Loss: 0.3830	LR: 0.000800
Training Epoch: 18 [2560/48750]	Loss: 0.2533	LR: 0.000800
Training Epoch: 18 [2816/48750]	Loss: 0.2020	LR: 0.000800
Training Epoch: 18 [3072/48750]	Loss: 0.2699	LR: 0.000800
Training Epoch: 18 [3328/48750]	Loss: 0.2811	LR: 0.000800
Training Epoch: 18 [3584/48750]	Loss: 0.2244	LR: 0.000800
Training Epoch: 18 [3840/48750]	Loss: 0.2704	LR: 0.000800
Training Epoch: 18 [4096/48750]	Loss: 0.2984	LR: 0.000800
Training Epoch: 18 [4352/48750]	Loss: 0.2142	LR: 0.000800
Training Epoch: 18 [4608/48750]	Loss: 0.3072	LR: 0.000800
Training Epoch: 18 [4864/48750]	Loss: 0.2287	LR: 0.000800
Training Epoch: 18 [5120/48750]	Loss: 0.2212	LR: 0.000800
Training Epoch: 18 [5376/48750]	Loss: 0.1498	LR: 0.000800
Training Epoch: 18 [5632/48750]	Loss: 0.3179	LR: 0.000800
Training Epoch: 18 [5888/48750]	Loss: 0.2385	LR: 0.000800
Training Epoch: 18 [6144/48750]	Loss: 0.2937	LR: 0.000800
Training Epoch: 18 [6400/48750]	Loss: 0.1792	LR: 0.000800
Training Epoch: 18 [6656/48750]	Loss: 0.2662	LR: 0.000800
Training Epoch: 18 [6912/48750]	Loss: 0.2706	LR: 0.000800
Training Epoch: 18 [7168/48750]	Loss: 0.2524	LR: 0.000800
Training Epoch: 18 [7424/48750]	Loss: 0.2628	LR: 0.000800
Training Epoch: 18 [7680/48750]	Loss: 0.2960	LR: 0.000800
Training Epoch: 18 [7936/48750]	Loss: 0.2328	LR: 0.000800
Training Epoch: 18 [8192/48750]	Loss: 0.3084	LR: 0.000800
Training Epoch: 18 [8448/48750]	Loss: 0.2702	LR: 0.000800
Training Epoch: 18 [8704/48750]	Loss: 0.3008	LR: 0.000800
Training Epoch: 18 [8960/48750]	Loss: 0.2299	LR: 0.000800
Training Epoch: 18 [9216/48750]	Loss: 0.2284	LR: 0.000800
Training Epoch: 18 [9472/48750]	Loss: 0.2625	LR: 0.000800
Training Epoch: 18 [9728/48750]	Loss: 0.2824	LR: 0.000800
Training Epoch: 18 [9984/48750]	Loss: 0.3376	LR: 0.000800
Training Epoch: 18 [10240/48750]	Loss: 0.2049	LR: 0.000800
Training Epoch: 18 [10496/48750]	Loss: 0.1882	LR: 0.000800
Training Epoch: 18 [10752/48750]	Loss: 0.2465	LR: 0.000800
Training Epoch: 18 [11008/48750]	Loss: 0.2265	LR: 0.000800
Training Epoch: 18 [11264/48750]	Loss: 0.1564	LR: 0.000800
Training Epoch: 18 [11520/48750]	Loss: 0.2874	LR: 0.000800
Training Epoch: 18 [11776/48750]	Loss: 0.3066	LR: 0.000800
Training Epoch: 18 [12032/48750]	Loss: 0.2147	LR: 0.000800
Training Epoch: 18 [12288/48750]	Loss: 0.2317	LR: 0.000800
Training Epoch: 18 [12544/48750]	Loss: 0.2586	LR: 0.000800
Training Epoch: 18 [12800/48750]	Loss: 0.3070	LR: 0.000800
Training Epoch: 18 [13056/48750]	Loss: 0.2671	LR: 0.000800
Training Epoch: 18 [13312/48750]	Loss: 0.2927	LR: 0.000800
Training Epoch: 18 [13568/48750]	Loss: 0.2480	LR: 0.000800
Training Epoch: 18 [13824/48750]	Loss: 0.2227	LR: 0.000800
Training Epoch: 18 [14080/48750]	Loss: 0.3320	LR: 0.000800
Training Epoch: 18 [14336/48750]	Loss: 0.3261	LR: 0.000800
Training Epoch: 18 [14592/48750]	Loss: 0.2516	LR: 0.000800
Training Epoch: 18 [14848/48750]	Loss: 0.2550	LR: 0.000800
Training Epoch: 18 [15104/48750]	Loss: 0.2996	LR: 0.000800
Training Epoch: 18 [15360/48750]	Loss: 0.1948	LR: 0.000800
Training Epoch: 18 [15616/48750]	Loss: 0.3174	LR: 0.000800
Training Epoch: 18 [15872/48750]	Loss: 0.2131	LR: 0.000800
Training Epoch: 18 [16128/48750]	Loss: 0.3108	LR: 0.000800
Training Epoch: 18 [16384/48750]	Loss: 0.2563	LR: 0.000800
Training Epoch: 18 [16640/48750]	Loss: 0.2527	LR: 0.000800
Training Epoch: 18 [16896/48750]	Loss: 0.3202	LR: 0.000800
Training Epoch: 18 [17152/48750]	Loss: 0.3309	LR: 0.000800
Training Epoch: 18 [17408/48750]	Loss: 0.2538	LR: 0.000800
Training Epoch: 18 [17664/48750]	Loss: 0.2891	LR: 0.000800
Training Epoch: 18 [17920/48750]	Loss: 0.2820	LR: 0.000800
Training Epoch: 18 [18176/48750]	Loss: 0.2884	LR: 0.000800
Training Epoch: 18 [18432/48750]	Loss: 0.3618	LR: 0.000800
Training Epoch: 18 [18688/48750]	Loss: 0.2805	LR: 0.000800
Training Epoch: 18 [18944/48750]	Loss: 0.1773	LR: 0.000800
Training Epoch: 18 [19200/48750]	Loss: 0.3444	LR: 0.000800
Training Epoch: 18 [19456/48750]	Loss: 0.1929	LR: 0.000800
Training Epoch: 18 [19712/48750]	Loss: 0.3318	LR: 0.000800
Training Epoch: 18 [19968/48750]	Loss: 0.3021	LR: 0.000800
Training Epoch: 18 [20224/48750]	Loss: 0.2434	LR: 0.000800
Training Epoch: 18 [20480/48750]	Loss: 0.2767	LR: 0.000800
Training Epoch: 18 [20736/48750]	Loss: 0.2945	LR: 0.000800
Training Epoch: 18 [20992/48750]	Loss: 0.2761	LR: 0.000800
Training Epoch: 18 [21248/48750]	Loss: 0.3003	LR: 0.000800
Training Epoch: 18 [21504/48750]	Loss: 0.2939	LR: 0.000800
Training Epoch: 18 [21760/48750]	Loss: 0.2402	LR: 0.000800
Training Epoch: 18 [22016/48750]	Loss: 0.2703	LR: 0.000800
Training Epoch: 18 [22272/48750]	Loss: 0.2292	LR: 0.000800
Training Epoch: 18 [22528/48750]	Loss: 0.2533	LR: 0.000800
Training Epoch: 18 [22784/48750]	Loss: 0.2893	LR: 0.000800
Training Epoch: 18 [23040/48750]	Loss: 0.2815	LR: 0.000800
Training Epoch: 18 [23296/48750]	Loss: 0.2193	LR: 0.000800
Training Epoch: 18 [23552/48750]	Loss: 0.2330	LR: 0.000800
Training Epoch: 18 [23808/48750]	Loss: 0.2047	LR: 0.000800
Training Epoch: 18 [24064/48750]	Loss: 0.2262	LR: 0.000800
Training Epoch: 18 [24320/48750]	Loss: 0.1728	LR: 0.000800
Training Epoch: 18 [24576/48750]	Loss: 0.2921	LR: 0.000800
Training Epoch: 18 [24832/48750]	Loss: 0.1863	LR: 0.000800
Training Epoch: 18 [25088/48750]	Loss: 0.2737	LR: 0.000800
Training Epoch: 18 [25344/48750]	Loss: 0.2621	LR: 0.000800
Training Epoch: 18 [25600/48750]	Loss: 0.2525	LR: 0.000800
Training Epoch: 18 [25856/48750]	Loss: 0.2866	LR: 0.000800
Training Epoch: 18 [26112/48750]	Loss: 0.2672	LR: 0.000800
Training Epoch: 18 [26368/48750]	Loss: 0.2804	LR: 0.000800
Training Epoch: 18 [26624/48750]	Loss: 0.2234	LR: 0.000800
Training Epoch: 18 [26880/48750]	Loss: 0.2887	LR: 0.000800
Training Epoch: 18 [27136/48750]	Loss: 0.2661	LR: 0.000800
Training Epoch: 18 [27392/48750]	Loss: 0.2420	LR: 0.000800
Training Epoch: 18 [27648/48750]	Loss: 0.2886	LR: 0.000800
Training Epoch: 18 [27904/48750]	Loss: 0.3658	LR: 0.000800
Training Epoch: 18 [28160/48750]	Loss: 0.2473	LR: 0.000800
Training Epoch: 18 [28416/48750]	Loss: 0.2860	LR: 0.000800
Training Epoch: 18 [28672/48750]	Loss: 0.2928	LR: 0.000800
Training Epoch: 18 [28928/48750]	Loss: 0.2869	LR: 0.000800
Training Epoch: 18 [29184/48750]	Loss: 0.2632	LR: 0.000800
Training Epoch: 18 [29440/48750]	Loss: 0.2592	LR: 0.000800
Training Epoch: 18 [29696/48750]	Loss: 0.2654	LR: 0.000800
Training Epoch: 18 [29952/48750]	Loss: 0.2597	LR: 0.000800
Training Epoch: 18 [30208/48750]	Loss: 0.3123	LR: 0.000800
Training Epoch: 18 [30464/48750]	Loss: 0.3234	LR: 0.000800
Training Epoch: 18 [30720/48750]	Loss: 0.1988	LR: 0.000800
Training Epoch: 18 [30976/48750]	Loss: 0.2416	LR: 0.000800
Training Epoch: 18 [31232/48750]	Loss: 0.2068	LR: 0.000800
Training Epoch: 18 [31488/48750]	Loss: 0.1972	LR: 0.000800
Training Epoch: 18 [31744/48750]	Loss: 0.2842	LR: 0.000800
Training Epoch: 18 [32000/48750]	Loss: 0.3026	LR: 0.000800
Training Epoch: 18 [32256/48750]	Loss: 0.2329	LR: 0.000800
Training Epoch: 18 [32512/48750]	Loss: 0.3463	LR: 0.000800
Training Epoch: 18 [32768/48750]	Loss: 0.3371	LR: 0.000800
Training Epoch: 18 [33024/48750]	Loss: 0.2605	LR: 0.000800
Training Epoch: 18 [33280/48750]	Loss: 0.2739	LR: 0.000800
Training Epoch: 18 [33536/48750]	Loss: 0.3034	LR: 0.000800
Training Epoch: 18 [33792/48750]	Loss: 0.2477	LR: 0.000800
Training Epoch: 18 [34048/48750]	Loss: 0.1723	LR: 0.000800
Training Epoch: 18 [34304/48750]	Loss: 0.3078	LR: 0.000800
Training Epoch: 18 [34560/48750]	Loss: 0.2508	LR: 0.000800
Training Epoch: 18 [34816/48750]	Loss: 0.2221	LR: 0.000800
Training Epoch: 18 [35072/48750]	Loss: 0.2642	LR: 0.000800
Training Epoch: 18 [35328/48750]	Loss: 0.3771	LR: 0.000800
Training Epoch: 18 [35584/48750]	Loss: 0.2160	LR: 0.000800
Training Epoch: 18 [35840/48750]	Loss: 0.2330	LR: 0.000800
Training Epoch: 18 [36096/48750]	Loss: 0.3107	LR: 0.000800
Training Epoch: 18 [36352/48750]	Loss: 0.2612	LR: 0.000800
Training Epoch: 18 [36608/48750]	Loss: 0.1882	LR: 0.000800
Training Epoch: 18 [36864/48750]	Loss: 0.2933	LR: 0.000800
Training Epoch: 18 [37120/48750]	Loss: 0.2532	LR: 0.000800
Training Epoch: 18 [37376/48750]	Loss: 0.3081	LR: 0.000800
Training Epoch: 18 [37632/48750]	Loss: 0.2386	LR: 0.000800
Training Epoch: 18 [37888/48750]	Loss: 0.2652	LR: 0.000800
Training Epoch: 18 [38144/48750]	Loss: 0.2409	LR: 0.000800
Training Epoch: 18 [38400/48750]	Loss: 0.2477	LR: 0.000800
Training Epoch: 18 [38656/48750]	Loss: 0.2755	LR: 0.000800
Training Epoch: 18 [38912/48750]	Loss: 0.3047	LR: 0.000800
Training Epoch: 18 [39168/48750]	Loss: 0.2618	LR: 0.000800
Training Epoch: 18 [39424/48750]	Loss: 0.1835	LR: 0.000800
Training Epoch: 18 [39680/48750]	Loss: 0.2185	LR: 0.000800
Training Epoch: 18 [39936/48750]	Loss: 0.2450	LR: 0.000800
Training Epoch: 18 [40192/48750]	Loss: 0.2535	LR: 0.000800
Training Epoch: 18 [40448/48750]	Loss: 0.1963	LR: 0.000800
Training Epoch: 18 [40704/48750]	Loss: 0.3616	LR: 0.000800
Training Epoch: 18 [40960/48750]	Loss: 0.2910	LR: 0.000800
Training Epoch: 18 [41216/48750]	Loss: 0.3453	LR: 0.000800
Training Epoch: 18 [41472/48750]	Loss: 0.2376	LR: 0.000800
Training Epoch: 18 [41728/48750]	Loss: 0.2204	LR: 0.000800
Training Epoch: 18 [41984/48750]	Loss: 0.1878	LR: 0.000800
Training Epoch: 18 [42240/48750]	Loss: 0.2181	LR: 0.000800
Training Epoch: 18 [42496/48750]	Loss: 0.1519	LR: 0.000800
Training Epoch: 18 [42752/48750]	Loss: 0.1701	LR: 0.000800
Training Epoch: 18 [43008/48750]	Loss: 0.2603	LR: 0.000800
Training Epoch: 18 [43264/48750]	Loss: 0.2249	LR: 0.000800
Training Epoch: 18 [43520/48750]	Loss: 0.2726	LR: 0.000800
Training Epoch: 18 [43776/48750]	Loss: 0.3364	LR: 0.000800
Training Epoch: 18 [44032/48750]	Loss: 0.2724	LR: 0.000800
Training Epoch: 18 [44288/48750]	Loss: 0.3664	LR: 0.000800
Training Epoch: 18 [44544/48750]	Loss: 0.3112	LR: 0.000800
Training Epoch: 18 [44800/48750]	Loss: 0.3046	LR: 0.000800
Training Epoch: 18 [45056/48750]	Loss: 0.1951	LR: 0.000800
Training Epoch: 18 [45312/48750]	Loss: 0.2660	LR: 0.000800
Training Epoch: 18 [45568/48750]	Loss: 0.2657	LR: 0.000800
Training Epoch: 18 [45824/48750]	Loss: 0.2023	LR: 0.000800
Training Epoch: 18 [46080/48750]	Loss: 0.3218	LR: 0.000800
Training Epoch: 18 [46336/48750]	Loss: 0.2727	LR: 0.000800
Training Epoch: 18 [46592/48750]	Loss: 0.2777	LR: 0.000800
Training Epoch: 18 [46848/48750]	Loss: 0.2079	LR: 0.000800
Training Epoch: 18 [47104/48750]	Loss: 0.1723	LR: 0.000800
Training Epoch: 18 [47360/48750]	Loss: 0.2425	LR: 0.000800
Training Epoch: 18 [47616/48750]	Loss: 0.2212	LR: 0.000800
Training Epoch: 18 [47872/48750]	Loss: 0.2083	LR: 0.000800
Training Epoch: 18 [48128/48750]	Loss: 0.2551	LR: 0.000800
Training Epoch: 18 [48384/48750]	Loss: 0.2681	LR: 0.000800
Training Epoch: 18 [48640/48750]	Loss: 0.3265	LR: 0.000800
Training Epoch: 18 [48750/48750]	Loss: 0.2421	LR: 0.000800
Epoch 18 - Average Train Loss: 0.2617, Train Accuracy: 0.9089
Epoch 18 training time consumed: 29.17s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0013, Accuracy: 0.8940, Time consumed:0.94s
Training Epoch: 19 [256/48750]	Loss: 0.1908	LR: 0.000800
Training Epoch: 19 [512/48750]	Loss: 0.2449	LR: 0.000800
Training Epoch: 19 [768/48750]	Loss: 0.2549	LR: 0.000800
Training Epoch: 19 [1024/48750]	Loss: 0.2844	LR: 0.000800
Training Epoch: 19 [1280/48750]	Loss: 0.2439	LR: 0.000800
Training Epoch: 19 [1536/48750]	Loss: 0.2343	LR: 0.000800
Training Epoch: 19 [1792/48750]	Loss: 0.3064	LR: 0.000800
Training Epoch: 19 [2048/48750]	Loss: 0.2676	LR: 0.000800
Training Epoch: 19 [2304/48750]	Loss: 0.2545	LR: 0.000800
Training Epoch: 19 [2560/48750]	Loss: 0.2719	LR: 0.000800
Training Epoch: 19 [2816/48750]	Loss: 0.2469	LR: 0.000800
Training Epoch: 19 [3072/48750]	Loss: 0.2993	LR: 0.000800
Training Epoch: 19 [3328/48750]	Loss: 0.3134	LR: 0.000800
Training Epoch: 19 [3584/48750]	Loss: 0.2569	LR: 0.000800
Training Epoch: 19 [3840/48750]	Loss: 0.2472	LR: 0.000800
Training Epoch: 19 [4096/48750]	Loss: 0.2265	LR: 0.000800
Training Epoch: 19 [4352/48750]	Loss: 0.2769	LR: 0.000800
Training Epoch: 19 [4608/48750]	Loss: 0.2749	LR: 0.000800
Training Epoch: 19 [4864/48750]	Loss: 0.2153	LR: 0.000800
Training Epoch: 19 [5120/48750]	Loss: 0.2259	LR: 0.000800
Training Epoch: 19 [5376/48750]	Loss: 0.2718	LR: 0.000800
Training Epoch: 19 [5632/48750]	Loss: 0.2368	LR: 0.000800
Training Epoch: 19 [5888/48750]	Loss: 0.3240	LR: 0.000800
Training Epoch: 19 [6144/48750]	Loss: 0.2428	LR: 0.000800
Training Epoch: 19 [6400/48750]	Loss: 0.3163	LR: 0.000800
Training Epoch: 19 [6656/48750]	Loss: 0.2848	LR: 0.000800
Training Epoch: 19 [6912/48750]	Loss: 0.2704	LR: 0.000800
Training Epoch: 19 [7168/48750]	Loss: 0.3073	LR: 0.000800
Training Epoch: 19 [7424/48750]	Loss: 0.2399	LR: 0.000800
Training Epoch: 19 [7680/48750]	Loss: 0.2619	LR: 0.000800
Training Epoch: 19 [7936/48750]	Loss: 0.2675	LR: 0.000800
Training Epoch: 19 [8192/48750]	Loss: 0.3101	LR: 0.000800
Training Epoch: 19 [8448/48750]	Loss: 0.2569	LR: 0.000800
Training Epoch: 19 [8704/48750]	Loss: 0.2419	LR: 0.000800
Training Epoch: 19 [8960/48750]	Loss: 0.3026	LR: 0.000800
Training Epoch: 19 [9216/48750]	Loss: 0.2326	LR: 0.000800
Training Epoch: 19 [9472/48750]	Loss: 0.2195	LR: 0.000800
Training Epoch: 19 [9728/48750]	Loss: 0.2364	LR: 0.000800
Training Epoch: 19 [9984/48750]	Loss: 0.2331	LR: 0.000800
Training Epoch: 19 [10240/48750]	Loss: 0.2885	LR: 0.000800
Training Epoch: 19 [10496/48750]	Loss: 0.2106	LR: 0.000800
Training Epoch: 19 [10752/48750]	Loss: 0.2495	LR: 0.000800
Training Epoch: 19 [11008/48750]	Loss: 0.2376	LR: 0.000800
Training Epoch: 19 [11264/48750]	Loss: 0.3537	LR: 0.000800
Training Epoch: 19 [11520/48750]	Loss: 0.2602	LR: 0.000800
Training Epoch: 19 [11776/48750]	Loss: 0.2022	LR: 0.000800
Training Epoch: 19 [12032/48750]	Loss: 0.2427	LR: 0.000800
Training Epoch: 19 [12288/48750]	Loss: 0.2995	LR: 0.000800
Training Epoch: 19 [12544/48750]	Loss: 0.2840	LR: 0.000800
Training Epoch: 19 [12800/48750]	Loss: 0.2610	LR: 0.000800
Training Epoch: 19 [13056/48750]	Loss: 0.2424	LR: 0.000800
Training Epoch: 19 [13312/48750]	Loss: 0.3288	LR: 0.000800
Training Epoch: 19 [13568/48750]	Loss: 0.2468	LR: 0.000800
Training Epoch: 19 [13824/48750]	Loss: 0.1638	LR: 0.000800
Training Epoch: 19 [14080/48750]	Loss: 0.2285	LR: 0.000800
Training Epoch: 19 [14336/48750]	Loss: 0.2627	LR: 0.000800
Training Epoch: 19 [14592/48750]	Loss: 0.2974	LR: 0.000800
Training Epoch: 19 [14848/48750]	Loss: 0.2905	LR: 0.000800
Training Epoch: 19 [15104/48750]	Loss: 0.2699	LR: 0.000800
Training Epoch: 19 [15360/48750]	Loss: 0.2304	LR: 0.000800
Training Epoch: 19 [15616/48750]	Loss: 0.2835	LR: 0.000800
Training Epoch: 19 [15872/48750]	Loss: 0.2337	LR: 0.000800
Training Epoch: 19 [16128/48750]	Loss: 0.3033	LR: 0.000800
Training Epoch: 19 [16384/48750]	Loss: 0.2479	LR: 0.000800
Training Epoch: 19 [16640/48750]	Loss: 0.2376	LR: 0.000800
Training Epoch: 19 [16896/48750]	Loss: 0.2979	LR: 0.000800
Training Epoch: 19 [17152/48750]	Loss: 0.2049	LR: 0.000800
Training Epoch: 19 [17408/48750]	Loss: 0.2549	LR: 0.000800
Training Epoch: 19 [17664/48750]	Loss: 0.2548	LR: 0.000800
Training Epoch: 19 [17920/48750]	Loss: 0.2100	LR: 0.000800
Training Epoch: 19 [18176/48750]	Loss: 0.2880	LR: 0.000800
Training Epoch: 19 [18432/48750]	Loss: 0.2422	LR: 0.000800
Training Epoch: 19 [18688/48750]	Loss: 0.2079	LR: 0.000800
Training Epoch: 19 [18944/48750]	Loss: 0.2042	LR: 0.000800
Training Epoch: 19 [19200/48750]	Loss: 0.1739	LR: 0.000800
Training Epoch: 19 [19456/48750]	Loss: 0.2162	LR: 0.000800
Training Epoch: 19 [19712/48750]	Loss: 0.2295	LR: 0.000800
Training Epoch: 19 [19968/48750]	Loss: 0.2399	LR: 0.000800
Training Epoch: 19 [20224/48750]	Loss: 0.3537	LR: 0.000800
Training Epoch: 19 [20480/48750]	Loss: 0.2659	LR: 0.000800
Training Epoch: 19 [20736/48750]	Loss: 0.3413	LR: 0.000800
Training Epoch: 19 [20992/48750]	Loss: 0.2700	LR: 0.000800
Training Epoch: 19 [21248/48750]	Loss: 0.2680	LR: 0.000800
Training Epoch: 19 [21504/48750]	Loss: 0.2355	LR: 0.000800
Training Epoch: 19 [21760/48750]	Loss: 0.2881	LR: 0.000800
Training Epoch: 19 [22016/48750]	Loss: 0.2446	LR: 0.000800
Training Epoch: 19 [22272/48750]	Loss: 0.3420	LR: 0.000800
Training Epoch: 19 [22528/48750]	Loss: 0.1916	LR: 0.000800
Training Epoch: 19 [22784/48750]	Loss: 0.3092	LR: 0.000800
Training Epoch: 19 [23040/48750]	Loss: 0.2915	LR: 0.000800
Training Epoch: 19 [23296/48750]	Loss: 0.2464	LR: 0.000800
Training Epoch: 19 [23552/48750]	Loss: 0.2778	LR: 0.000800
Training Epoch: 19 [23808/48750]	Loss: 0.1981	LR: 0.000800
Training Epoch: 19 [24064/48750]	Loss: 0.2605	LR: 0.000800
Training Epoch: 19 [24320/48750]	Loss: 0.2836	LR: 0.000800
Training Epoch: 19 [24576/48750]	Loss: 0.2185	LR: 0.000800
Training Epoch: 19 [24832/48750]	Loss: 0.1715	LR: 0.000800
Training Epoch: 19 [25088/48750]	Loss: 0.2920	LR: 0.000800
Training Epoch: 19 [25344/48750]	Loss: 0.1924	LR: 0.000800
Training Epoch: 19 [25600/48750]	Loss: 0.2213	LR: 0.000800
Training Epoch: 19 [25856/48750]	Loss: 0.2782	LR: 0.000800
Training Epoch: 19 [26112/48750]	Loss: 0.1619	LR: 0.000800
Training Epoch: 19 [26368/48750]	Loss: 0.2292	LR: 0.000800
Training Epoch: 19 [26624/48750]	Loss: 0.2957	LR: 0.000800
Training Epoch: 19 [26880/48750]	Loss: 0.3285	LR: 0.000800
Training Epoch: 19 [27136/48750]	Loss: 0.3082	LR: 0.000800
Training Epoch: 19 [27392/48750]	Loss: 0.3316	LR: 0.000800
Training Epoch: 19 [27648/48750]	Loss: 0.2525	LR: 0.000800
Training Epoch: 19 [27904/48750]	Loss: 0.2445	LR: 0.000800
Training Epoch: 19 [28160/48750]	Loss: 0.2957	LR: 0.000800
Training Epoch: 19 [28416/48750]	Loss: 0.1761	LR: 0.000800
Training Epoch: 19 [28672/48750]	Loss: 0.2776	LR: 0.000800
Training Epoch: 19 [28928/48750]	Loss: 0.2695	LR: 0.000800
Training Epoch: 19 [29184/48750]	Loss: 0.2623	LR: 0.000800
Training Epoch: 19 [29440/48750]	Loss: 0.3159	LR: 0.000800
Training Epoch: 19 [29696/48750]	Loss: 0.3053	LR: 0.000800
Training Epoch: 19 [29952/48750]	Loss: 0.3100	LR: 0.000800
Training Epoch: 19 [30208/48750]	Loss: 0.3552	LR: 0.000800
Training Epoch: 19 [30464/48750]	Loss: 0.2192	LR: 0.000800
Training Epoch: 19 [30720/48750]	Loss: 0.2627	LR: 0.000800
Training Epoch: 19 [30976/48750]	Loss: 0.2893	LR: 0.000800
Training Epoch: 19 [31232/48750]	Loss: 0.2464	LR: 0.000800
Training Epoch: 19 [31488/48750]	Loss: 0.3037	LR: 0.000800
Training Epoch: 19 [31744/48750]	Loss: 0.2373	LR: 0.000800
Training Epoch: 19 [32000/48750]	Loss: 0.2999	LR: 0.000800
Training Epoch: 19 [32256/48750]	Loss: 0.2450	LR: 0.000800
Training Epoch: 19 [32512/48750]	Loss: 0.3013	LR: 0.000800
Training Epoch: 19 [32768/48750]	Loss: 0.3189	LR: 0.000800
Training Epoch: 19 [33024/48750]	Loss: 0.1994	LR: 0.000800
Training Epoch: 19 [33280/48750]	Loss: 0.2375	LR: 0.000800
Training Epoch: 19 [33536/48750]	Loss: 0.2755	LR: 0.000800
Training Epoch: 19 [33792/48750]	Loss: 0.3264	LR: 0.000800
Training Epoch: 19 [34048/48750]	Loss: 0.1964	LR: 0.000800
Training Epoch: 19 [34304/48750]	Loss: 0.3053	LR: 0.000800
Training Epoch: 19 [34560/48750]	Loss: 0.1953	LR: 0.000800
Training Epoch: 19 [34816/48750]	Loss: 0.2517	LR: 0.000800
Training Epoch: 19 [35072/48750]	Loss: 0.2199	LR: 0.000800
Training Epoch: 19 [35328/48750]	Loss: 0.2523	LR: 0.000800
Training Epoch: 19 [35584/48750]	Loss: 0.3033	LR: 0.000800
Training Epoch: 19 [35840/48750]	Loss: 0.2413	LR: 0.000800
Training Epoch: 19 [36096/48750]	Loss: 0.2454	LR: 0.000800
Training Epoch: 19 [36352/48750]	Loss: 0.2780	LR: 0.000800
Training Epoch: 19 [36608/48750]	Loss: 0.2524	LR: 0.000800
Training Epoch: 19 [36864/48750]	Loss: 0.1790	LR: 0.000800
Training Epoch: 19 [37120/48750]	Loss: 0.2771	LR: 0.000800
Training Epoch: 19 [37376/48750]	Loss: 0.2564	LR: 0.000800
Training Epoch: 19 [37632/48750]	Loss: 0.2499	LR: 0.000800
Training Epoch: 19 [37888/48750]	Loss: 0.2656	LR: 0.000800
Training Epoch: 19 [38144/48750]	Loss: 0.2111	LR: 0.000800
Training Epoch: 19 [38400/48750]	Loss: 0.1694	LR: 0.000800
Training Epoch: 19 [38656/48750]	Loss: 0.3135	LR: 0.000800
Training Epoch: 19 [38912/48750]	Loss: 0.2576	LR: 0.000800
Training Epoch: 19 [39168/48750]	Loss: 0.2684	LR: 0.000800
Training Epoch: 19 [39424/48750]	Loss: 0.2562	LR: 0.000800
Training Epoch: 19 [39680/48750]	Loss: 0.3127	LR: 0.000800
Training Epoch: 19 [39936/48750]	Loss: 0.2795	LR: 0.000800
Training Epoch: 19 [40192/48750]	Loss: 0.2601	LR: 0.000800
Training Epoch: 19 [40448/48750]	Loss: 0.2705	LR: 0.000800
Training Epoch: 19 [40704/48750]	Loss: 0.3090	LR: 0.000800
Training Epoch: 19 [40960/48750]	Loss: 0.2958	LR: 0.000800
Training Epoch: 19 [41216/48750]	Loss: 0.2646	LR: 0.000800
Training Epoch: 19 [41472/48750]	Loss: 0.2801	LR: 0.000800
Training Epoch: 19 [41728/48750]	Loss: 0.2451	LR: 0.000800
Training Epoch: 19 [41984/48750]	Loss: 0.2524	LR: 0.000800
Training Epoch: 19 [42240/48750]	Loss: 0.2753	LR: 0.000800
Training Epoch: 19 [42496/48750]	Loss: 0.3030	LR: 0.000800
Training Epoch: 19 [42752/48750]	Loss: 0.2491	LR: 0.000800
Training Epoch: 19 [43008/48750]	Loss: 0.2713	LR: 0.000800
Training Epoch: 19 [43264/48750]	Loss: 0.2746	LR: 0.000800
Training Epoch: 19 [43520/48750]	Loss: 0.2447	LR: 0.000800
Training Epoch: 19 [43776/48750]	Loss: 0.2919	LR: 0.000800
Training Epoch: 19 [44032/48750]	Loss: 0.2823	LR: 0.000800
Training Epoch: 19 [44288/48750]	Loss: 0.2442	LR: 0.000800
Training Epoch: 19 [44544/48750]	Loss: 0.3088	LR: 0.000800
Training Epoch: 19 [44800/48750]	Loss: 0.2711	LR: 0.000800
Training Epoch: 19 [45056/48750]	Loss: 0.2930	LR: 0.000800
Training Epoch: 19 [45312/48750]	Loss: 0.2534	LR: 0.000800
Training Epoch: 19 [45568/48750]	Loss: 0.2297	LR: 0.000800
Training Epoch: 19 [45824/48750]	Loss: 0.2251	LR: 0.000800
Training Epoch: 19 [46080/48750]	Loss: 0.2505	LR: 0.000800
Training Epoch: 19 [46336/48750]	Loss: 0.2525	LR: 0.000800
Training Epoch: 19 [46592/48750]	Loss: 0.2781	LR: 0.000800
Training Epoch: 19 [46848/48750]	Loss: 0.2341	LR: 0.000800
Training Epoch: 19 [47104/48750]	Loss: 0.2783	LR: 0.000800
Training Epoch: 19 [47360/48750]	Loss: 0.3285	LR: 0.000800
Training Epoch: 19 [47616/48750]	Loss: 0.2248	LR: 0.000800
Training Epoch: 19 [47872/48750]	Loss: 0.2768	LR: 0.000800
Training Epoch: 19 [48128/48750]	Loss: 0.2968	LR: 0.000800
Training Epoch: 19 [48384/48750]	Loss: 0.2794	LR: 0.000800
Training Epoch: 19 [48640/48750]	Loss: 0.2514	LR: 0.000800
Training Epoch: 19 [48750/48750]	Loss: 0.3702	LR: 0.000800
Epoch 19 - Average Train Loss: 0.2617, Train Accuracy: 0.9082
Epoch 19 training time consumed: 29.13s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0013, Accuracy: 0.8938, Time consumed:0.88s
Training Epoch: 20 [256/48750]	Loss: 0.2429	LR: 0.000800
Training Epoch: 20 [512/48750]	Loss: 0.2481	LR: 0.000800
Training Epoch: 20 [768/48750]	Loss: 0.2927	LR: 0.000800
Training Epoch: 20 [1024/48750]	Loss: 0.1837	LR: 0.000800
Training Epoch: 20 [1280/48750]	Loss: 0.2580	LR: 0.000800
Training Epoch: 20 [1536/48750]	Loss: 0.2635	LR: 0.000800
Training Epoch: 20 [1792/48750]	Loss: 0.3326	LR: 0.000800
Training Epoch: 20 [2048/48750]	Loss: 0.2211	LR: 0.000800
Training Epoch: 20 [2304/48750]	Loss: 0.2698	LR: 0.000800
Training Epoch: 20 [2560/48750]	Loss: 0.2872	LR: 0.000800
Training Epoch: 20 [2816/48750]	Loss: 0.2339	LR: 0.000800
Training Epoch: 20 [3072/48750]	Loss: 0.3112	LR: 0.000800
Training Epoch: 20 [3328/48750]	Loss: 0.2343	LR: 0.000800
Training Epoch: 20 [3584/48750]	Loss: 0.2038	LR: 0.000800
Training Epoch: 20 [3840/48750]	Loss: 0.2610	LR: 0.000800
Training Epoch: 20 [4096/48750]	Loss: 0.1830	LR: 0.000800
Training Epoch: 20 [4352/48750]	Loss: 0.2457	LR: 0.000800
Training Epoch: 20 [4608/48750]	Loss: 0.2874	LR: 0.000800
Training Epoch: 20 [4864/48750]	Loss: 0.2806	LR: 0.000800
Training Epoch: 20 [5120/48750]	Loss: 0.2729	LR: 0.000800
Training Epoch: 20 [5376/48750]	Loss: 0.1867	LR: 0.000800
Training Epoch: 20 [5632/48750]	Loss: 0.2630	LR: 0.000800
Training Epoch: 20 [5888/48750]	Loss: 0.2891	LR: 0.000800
Training Epoch: 20 [6144/48750]	Loss: 0.2620	LR: 0.000800
Training Epoch: 20 [6400/48750]	Loss: 0.2548	LR: 0.000800
Training Epoch: 20 [6656/48750]	Loss: 0.3126	LR: 0.000800
Training Epoch: 20 [6912/48750]	Loss: 0.2527	LR: 0.000800
Training Epoch: 20 [7168/48750]	Loss: 0.3264	LR: 0.000800
Training Epoch: 20 [7424/48750]	Loss: 0.3234	LR: 0.000800
Training Epoch: 20 [7680/48750]	Loss: 0.1874	LR: 0.000800
Training Epoch: 20 [7936/48750]	Loss: 0.1815	LR: 0.000800
Training Epoch: 20 [8192/48750]	Loss: 0.1874	LR: 0.000800
Training Epoch: 20 [8448/48750]	Loss: 0.2990	LR: 0.000800
Training Epoch: 20 [8704/48750]	Loss: 0.2695	LR: 0.000800
Training Epoch: 20 [8960/48750]	Loss: 0.2498	LR: 0.000800
Training Epoch: 20 [9216/48750]	Loss: 0.4137	LR: 0.000800
Training Epoch: 20 [9472/48750]	Loss: 0.2925	LR: 0.000800
Training Epoch: 20 [9728/48750]	Loss: 0.2478	LR: 0.000800
Training Epoch: 20 [9984/48750]	Loss: 0.3037	LR: 0.000800
Training Epoch: 20 [10240/48750]	Loss: 0.1805	LR: 0.000800
Training Epoch: 20 [10496/48750]	Loss: 0.3027	LR: 0.000800
Training Epoch: 20 [10752/48750]	Loss: 0.2323	LR: 0.000800
Training Epoch: 20 [11008/48750]	Loss: 0.2212	LR: 0.000800
Training Epoch: 20 [11264/48750]	Loss: 0.3410	LR: 0.000800
Training Epoch: 20 [11520/48750]	Loss: 0.2756	LR: 0.000800
Training Epoch: 20 [11776/48750]	Loss: 0.2997	LR: 0.000800
Training Epoch: 20 [12032/48750]	Loss: 0.2493	LR: 0.000800
Training Epoch: 20 [12288/48750]	Loss: 0.2337	LR: 0.000800
Training Epoch: 20 [12544/48750]	Loss: 0.2976	LR: 0.000800
Training Epoch: 20 [12800/48750]	Loss: 0.2054	LR: 0.000800
Training Epoch: 20 [13056/48750]	Loss: 0.2305	LR: 0.000800
Training Epoch: 20 [13312/48750]	Loss: 0.2806	LR: 0.000800
Training Epoch: 20 [13568/48750]	Loss: 0.2758	LR: 0.000800
Training Epoch: 20 [13824/48750]	Loss: 0.3266	LR: 0.000800
Training Epoch: 20 [14080/48750]	Loss: 0.2167	LR: 0.000800
Training Epoch: 20 [14336/48750]	Loss: 0.2261	LR: 0.000800
Training Epoch: 20 [14592/48750]	Loss: 0.2454	LR: 0.000800
Training Epoch: 20 [14848/48750]	Loss: 0.2552	LR: 0.000800
Training Epoch: 20 [15104/48750]	Loss: 0.1933	LR: 0.000800
Training Epoch: 20 [15360/48750]	Loss: 0.2194	LR: 0.000800
Training Epoch: 20 [15616/48750]	Loss: 0.1939	LR: 0.000800
Training Epoch: 20 [15872/48750]	Loss: 0.2572	LR: 0.000800
Training Epoch: 20 [16128/48750]	Loss: 0.3138	LR: 0.000800
Training Epoch: 20 [16384/48750]	Loss: 0.2830	LR: 0.000800
Training Epoch: 20 [16640/48750]	Loss: 0.2671	LR: 0.000800
Training Epoch: 20 [16896/48750]	Loss: 0.2156	LR: 0.000800
Training Epoch: 20 [17152/48750]	Loss: 0.2539	LR: 0.000800
Training Epoch: 20 [17408/48750]	Loss: 0.2183	LR: 0.000800
Training Epoch: 20 [17664/48750]	Loss: 0.2726	LR: 0.000800
Training Epoch: 20 [17920/48750]	Loss: 0.2316	LR: 0.000800
Training Epoch: 20 [18176/48750]	Loss: 0.2493	LR: 0.000800
Training Epoch: 20 [18432/48750]	Loss: 0.2340	LR: 0.000800
Training Epoch: 20 [18688/48750]	Loss: 0.2862	LR: 0.000800
Training Epoch: 20 [18944/48750]	Loss: 0.2791	LR: 0.000800
Training Epoch: 20 [19200/48750]	Loss: 0.2292	LR: 0.000800
Training Epoch: 20 [19456/48750]	Loss: 0.2663	LR: 0.000800
Training Epoch: 20 [19712/48750]	Loss: 0.3018	LR: 0.000800
Training Epoch: 20 [19968/48750]	Loss: 0.2371	LR: 0.000800
Training Epoch: 20 [20224/48750]	Loss: 0.2322	LR: 0.000800
Training Epoch: 20 [20480/48750]	Loss: 0.1909	LR: 0.000800
Training Epoch: 20 [20736/48750]	Loss: 0.2417	LR: 0.000800
Training Epoch: 20 [20992/48750]	Loss: 0.2863	LR: 0.000800
Training Epoch: 20 [21248/48750]	Loss: 0.3052	LR: 0.000800
Training Epoch: 20 [21504/48750]	Loss: 0.2248	LR: 0.000800
Training Epoch: 20 [21760/48750]	Loss: 0.2933	LR: 0.000800
Training Epoch: 20 [22016/48750]	Loss: 0.1702	LR: 0.000800
Training Epoch: 20 [22272/48750]	Loss: 0.2882	LR: 0.000800
Training Epoch: 20 [22528/48750]	Loss: 0.3826	LR: 0.000800
Training Epoch: 20 [22784/48750]	Loss: 0.2337	LR: 0.000800
Training Epoch: 20 [23040/48750]	Loss: 0.2652	LR: 0.000800
Training Epoch: 20 [23296/48750]	Loss: 0.2721	LR: 0.000800
Training Epoch: 20 [23552/48750]	Loss: 0.3045	LR: 0.000800
Training Epoch: 20 [23808/48750]	Loss: 0.2265	LR: 0.000800
Training Epoch: 20 [24064/48750]	Loss: 0.2658	LR: 0.000800
Training Epoch: 20 [24320/48750]	Loss: 0.2786	LR: 0.000800
Training Epoch: 20 [24576/48750]	Loss: 0.2260	LR: 0.000800
Training Epoch: 20 [24832/48750]	Loss: 0.2836	LR: 0.000800
Training Epoch: 20 [25088/48750]	Loss: 0.2780	LR: 0.000800
Training Epoch: 20 [25344/48750]	Loss: 0.2545	LR: 0.000800
Training Epoch: 20 [25600/48750]	Loss: 0.2521	LR: 0.000800
Training Epoch: 20 [25856/48750]	Loss: 0.2487	LR: 0.000800
Training Epoch: 20 [26112/48750]	Loss: 0.2137	LR: 0.000800
Training Epoch: 20 [26368/48750]	Loss: 0.2855	LR: 0.000800
Training Epoch: 20 [26624/48750]	Loss: 0.2270	LR: 0.000800
Training Epoch: 20 [26880/48750]	Loss: 0.2421	LR: 0.000800
Training Epoch: 20 [27136/48750]	Loss: 0.2526	LR: 0.000800
Training Epoch: 20 [27392/48750]	Loss: 0.2267	LR: 0.000800
Training Epoch: 20 [27648/48750]	Loss: 0.2548	LR: 0.000800
Training Epoch: 20 [27904/48750]	Loss: 0.2790	LR: 0.000800
Training Epoch: 20 [28160/48750]	Loss: 0.2927	LR: 0.000800
Training Epoch: 20 [28416/48750]	Loss: 0.2907	LR: 0.000800
Training Epoch: 20 [28672/48750]	Loss: 0.2545	LR: 0.000800
Training Epoch: 20 [28928/48750]	Loss: 0.2323	LR: 0.000800
Training Epoch: 20 [29184/48750]	Loss: 0.2336	LR: 0.000800
Training Epoch: 20 [29440/48750]	Loss: 0.2846	LR: 0.000800
Training Epoch: 20 [29696/48750]	Loss: 0.2192	LR: 0.000800
Training Epoch: 20 [29952/48750]	Loss: 0.2146	LR: 0.000800
Training Epoch: 20 [30208/48750]	Loss: 0.2720	LR: 0.000800
Training Epoch: 20 [30464/48750]	Loss: 0.3000	LR: 0.000800
Training Epoch: 20 [30720/48750]	Loss: 0.2100	LR: 0.000800
Training Epoch: 20 [30976/48750]	Loss: 0.3112	LR: 0.000800
Training Epoch: 20 [31232/48750]	Loss: 0.2846	LR: 0.000800
Training Epoch: 20 [31488/48750]	Loss: 0.2065	LR: 0.000800
Training Epoch: 20 [31744/48750]	Loss: 0.2624	LR: 0.000800
Training Epoch: 20 [32000/48750]	Loss: 0.2596	LR: 0.000800
Training Epoch: 20 [32256/48750]	Loss: 0.2717	LR: 0.000800
Training Epoch: 20 [32512/48750]	Loss: 0.2653	LR: 0.000800
Training Epoch: 20 [32768/48750]	Loss: 0.2626	LR: 0.000800
Training Epoch: 20 [33024/48750]	Loss: 0.3300	LR: 0.000800
Training Epoch: 20 [33280/48750]	Loss: 0.2610	LR: 0.000800
Training Epoch: 20 [33536/48750]	Loss: 0.2263	LR: 0.000800
Training Epoch: 20 [33792/48750]	Loss: 0.2707	LR: 0.000800
Training Epoch: 20 [34048/48750]	Loss: 0.2869	LR: 0.000800
Training Epoch: 20 [34304/48750]	Loss: 0.2313	LR: 0.000800
Training Epoch: 20 [34560/48750]	Loss: 0.3164	LR: 0.000800
Training Epoch: 20 [34816/48750]	Loss: 0.2196	LR: 0.000800
Training Epoch: 20 [35072/48750]	Loss: 0.2720	LR: 0.000800
Training Epoch: 20 [35328/48750]	Loss: 0.3293	LR: 0.000800
Training Epoch: 20 [35584/48750]	Loss: 0.3435	LR: 0.000800
Training Epoch: 20 [35840/48750]	Loss: 0.1966	LR: 0.000800
Training Epoch: 20 [36096/48750]	Loss: 0.2725	LR: 0.000800
Training Epoch: 20 [36352/48750]	Loss: 0.2789	LR: 0.000800
Training Epoch: 20 [36608/48750]	Loss: 0.2762	LR: 0.000800
Training Epoch: 20 [36864/48750]	Loss: 0.3210	LR: 0.000800
Training Epoch: 20 [37120/48750]	Loss: 0.2301	LR: 0.000800
Training Epoch: 20 [37376/48750]	Loss: 0.2405	LR: 0.000800
Training Epoch: 20 [37632/48750]	Loss: 0.2323	LR: 0.000800
Training Epoch: 20 [37888/48750]	Loss: 0.2122	LR: 0.000800
Training Epoch: 20 [38144/48750]	Loss: 0.2594	LR: 0.000800
Training Epoch: 20 [38400/48750]	Loss: 0.2742	LR: 0.000800
Training Epoch: 20 [38656/48750]	Loss: 0.2095	LR: 0.000800
Training Epoch: 20 [38912/48750]	Loss: 0.1851	LR: 0.000800
Training Epoch: 20 [39168/48750]	Loss: 0.2911	LR: 0.000800
Training Epoch: 20 [39424/48750]	Loss: 0.2505	LR: 0.000800
Training Epoch: 20 [39680/48750]	Loss: 0.2338	LR: 0.000800
Training Epoch: 20 [39936/48750]	Loss: 0.2701	LR: 0.000800
Training Epoch: 20 [40192/48750]	Loss: 0.1879	LR: 0.000800
Training Epoch: 20 [40448/48750]	Loss: 0.1619	LR: 0.000800
Training Epoch: 20 [40704/48750]	Loss: 0.1832	LR: 0.000800
Training Epoch: 20 [40960/48750]	Loss: 0.2622	LR: 0.000800
Training Epoch: 20 [41216/48750]	Loss: 0.2852	LR: 0.000800
Training Epoch: 20 [41472/48750]	Loss: 0.2782	LR: 0.000800
Training Epoch: 20 [41728/48750]	Loss: 0.2967	LR: 0.000800
Training Epoch: 20 [41984/48750]	Loss: 0.2696	LR: 0.000800
Training Epoch: 20 [42240/48750]	Loss: 0.2457	LR: 0.000800
Training Epoch: 20 [42496/48750]	Loss: 0.3283	LR: 0.000800
Training Epoch: 20 [42752/48750]	Loss: 0.2533	LR: 0.000800
Training Epoch: 20 [43008/48750]	Loss: 0.2805	LR: 0.000800
Training Epoch: 20 [43264/48750]	Loss: 0.2764	LR: 0.000800
Training Epoch: 20 [43520/48750]	Loss: 0.2672	LR: 0.000800
Training Epoch: 20 [43776/48750]	Loss: 0.2804	LR: 0.000800
Training Epoch: 20 [44032/48750]	Loss: 0.2144	LR: 0.000800
Training Epoch: 20 [44288/48750]	Loss: 0.2096	LR: 0.000800
Training Epoch: 20 [44544/48750]	Loss: 0.2293	LR: 0.000800
Training Epoch: 20 [44800/48750]	Loss: 0.1824	LR: 0.000800
Training Epoch: 20 [45056/48750]	Loss: 0.2686	LR: 0.000800
Training Epoch: 20 [45312/48750]	Loss: 0.2299	LR: 0.000800
Training Epoch: 20 [45568/48750]	Loss: 0.2150	LR: 0.000800
Training Epoch: 20 [45824/48750]	Loss: 0.2029	LR: 0.000800
Training Epoch: 20 [46080/48750]	Loss: 0.2636	LR: 0.000800
Training Epoch: 20 [46336/48750]	Loss: 0.2192	LR: 0.000800
Training Epoch: 20 [46592/48750]	Loss: 0.1908	LR: 0.000800
Training Epoch: 20 [46848/48750]	Loss: 0.2326	LR: 0.000800
Training Epoch: 20 [47104/48750]	Loss: 0.2775	LR: 0.000800
Training Epoch: 20 [47360/48750]	Loss: 0.2775	LR: 0.000800
Training Epoch: 20 [47616/48750]	Loss: 0.2585	LR: 0.000800
Training Epoch: 20 [47872/48750]	Loss: 0.2086	LR: 0.000800
Training Epoch: 20 [48128/48750]	Loss: 0.2934	LR: 0.000800
Training Epoch: 20 [48384/48750]	Loss: 0.2528	LR: 0.000800
Training Epoch: 20 [48640/48750]	Loss: 0.3446	LR: 0.000800
Training Epoch: 20 [48750/48750]	Loss: 0.3957	LR: 0.000800
Epoch 20 - Average Train Loss: 0.2570, Train Accuracy: 0.9108
Epoch 20 training time consumed: 29.13s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0013, Accuracy: 0.8947, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_14h_23m_58s/ResNet18-Cifar10-seed1-ret75-20-best.pth
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
Set1 Distribution: 1250 samples
Set2 Distribution: 1250 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Test Accuracy: 89.5703125
Retain Accuracy: 91.45069122314453
Zero-Retain Forget (ZRF): 0.8328531384468079
Membership Inference Attack (MIA): 0.6344
Forget vs Retain Membership Inference Attack (MIA): 0.54
Forget vs Test Membership Inference Attack (MIA): 0.568
Test vs Retain Membership Inference Attack (MIA): 0.4975
Train vs Test Membership Inference Attack (MIA): 0.526
Forget Set Accuracy (Df): 89.14131164550781
Method Execution Time: 1553.84 seconds
