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

Updated class distribution:
Retain set:
  Class 0: 4625
  Class 1: 4625
  Class 2: 4625
  Class 3: 4625
  Class 4: 4625
  Class 5: 4625
  Class 6: 4625
  Class 7: 4625
  Class 8: 4625
  Class 9: 4625
Forget set:
  Class 0: 375
  Class 1: 375
  Class 2: 375
  Class 3: 375
  Class 4: 375
  Class 5: 375
  Class 6: 375
  Class 7: 375
  Class 8: 375
  Class 9: 375
⚠️ Warning: Retain train loader may not be shuffled.
Training Epoch: 1 [256/46250]	Loss: 2.3449	LR: 0.000000
Training Epoch: 1 [512/46250]	Loss: 2.3383	LR: 0.000552
Training Epoch: 1 [768/46250]	Loss: 2.3572	LR: 0.001105
Training Epoch: 1 [1024/46250]	Loss: 2.3054	LR: 0.001657
Training Epoch: 1 [1280/46250]	Loss: 2.3031	LR: 0.002210
Training Epoch: 1 [1536/46250]	Loss: 2.2440	LR: 0.002762
Training Epoch: 1 [1792/46250]	Loss: 2.1837	LR: 0.003315
Training Epoch: 1 [2048/46250]	Loss: 2.2531	LR: 0.003867
Training Epoch: 1 [2304/46250]	Loss: 2.2017	LR: 0.004420
Training Epoch: 1 [2560/46250]	Loss: 2.2051	LR: 0.004972
Training Epoch: 1 [2816/46250]	Loss: 2.2555	LR: 0.005525
Training Epoch: 1 [3072/46250]	Loss: 2.1352	LR: 0.006077
Training Epoch: 1 [3328/46250]	Loss: 2.1974	LR: 0.006630
Training Epoch: 1 [3584/46250]	Loss: 2.1610	LR: 0.007182
Training Epoch: 1 [3840/46250]	Loss: 2.0290	LR: 0.007735
Training Epoch: 1 [4096/46250]	Loss: 1.9535	LR: 0.008287
Training Epoch: 1 [4352/46250]	Loss: 2.0262	LR: 0.008840
Training Epoch: 1 [4608/46250]	Loss: 1.9263	LR: 0.009392
Training Epoch: 1 [4864/46250]	Loss: 1.8835	LR: 0.009945
Training Epoch: 1 [5120/46250]	Loss: 1.8594	LR: 0.010497
Training Epoch: 1 [5376/46250]	Loss: 1.9735	LR: 0.011050
Training Epoch: 1 [5632/46250]	Loss: 1.8220	LR: 0.011602
Training Epoch: 1 [5888/46250]	Loss: 1.9301	LR: 0.012155
Training Epoch: 1 [6144/46250]	Loss: 1.9927	LR: 0.012707
Training Epoch: 1 [6400/46250]	Loss: 1.9081	LR: 0.013260
Training Epoch: 1 [6656/46250]	Loss: 1.8147	LR: 0.013812
Training Epoch: 1 [6912/46250]	Loss: 1.9864	LR: 0.014365
Training Epoch: 1 [7168/46250]	Loss: 1.8667	LR: 0.014917
Training Epoch: 1 [7424/46250]	Loss: 1.9184	LR: 0.015470
Training Epoch: 1 [7680/46250]	Loss: 1.7675	LR: 0.016022
Training Epoch: 1 [7936/46250]	Loss: 1.8394	LR: 0.016575
Training Epoch: 1 [8192/46250]	Loss: 1.8980	LR: 0.017127
Training Epoch: 1 [8448/46250]	Loss: 1.7799	LR: 0.017680
Training Epoch: 1 [8704/46250]	Loss: 1.8447	LR: 0.018232
Training Epoch: 1 [8960/46250]	Loss: 1.7746	LR: 0.018785
Training Epoch: 1 [9216/46250]	Loss: 1.6812	LR: 0.019337
Training Epoch: 1 [9472/46250]	Loss: 1.7612	LR: 0.019890
Training Epoch: 1 [9728/46250]	Loss: 1.7449	LR: 0.020442
Training Epoch: 1 [9984/46250]	Loss: 1.7706	LR: 0.020994
Training Epoch: 1 [10240/46250]	Loss: 1.8251	LR: 0.021547
Training Epoch: 1 [10496/46250]	Loss: 1.7148	LR: 0.022099
Training Epoch: 1 [10752/46250]	Loss: 1.7718	LR: 0.022652
Training Epoch: 1 [11008/46250]	Loss: 1.8216	LR: 0.023204
Training Epoch: 1 [11264/46250]	Loss: 1.7680	LR: 0.023757
Training Epoch: 1 [11520/46250]	Loss: 1.6987	LR: 0.024309
Training Epoch: 1 [11776/46250]	Loss: 1.9369	LR: 0.024862
Training Epoch: 1 [12032/46250]	Loss: 1.7101	LR: 0.025414
Training Epoch: 1 [12288/46250]	Loss: 1.7476	LR: 0.025967
Training Epoch: 1 [12544/46250]	Loss: 1.7353	LR: 0.026519
Training Epoch: 1 [12800/46250]	Loss: 1.7633	LR: 0.027072
Training Epoch: 1 [13056/46250]	Loss: 1.8213	LR: 0.027624
Training Epoch: 1 [13312/46250]	Loss: 1.7300	LR: 0.028177
Training Epoch: 1 [13568/46250]	Loss: 1.6866	LR: 0.028729
Training Epoch: 1 [13824/46250]	Loss: 1.6753	LR: 0.029282
Training Epoch: 1 [14080/46250]	Loss: 1.7234	LR: 0.029834
Training Epoch: 1 [14336/46250]	Loss: 1.6923	LR: 0.030387
Training Epoch: 1 [14592/46250]	Loss: 1.7006	LR: 0.030939
Training Epoch: 1 [14848/46250]	Loss: 1.7992	LR: 0.031492
Training Epoch: 1 [15104/46250]	Loss: 1.7424	LR: 0.032044
Training Epoch: 1 [15360/46250]	Loss: 1.6916	LR: 0.032597
Training Epoch: 1 [15616/46250]	Loss: 1.6579	LR: 0.033149
Training Epoch: 1 [15872/46250]	Loss: 1.6346	LR: 0.033702
Training Epoch: 1 [16128/46250]	Loss: 1.7521	LR: 0.034254
Training Epoch: 1 [16384/46250]	Loss: 1.5812	LR: 0.034807
Training Epoch: 1 [16640/46250]	Loss: 1.7446	LR: 0.035359
Training Epoch: 1 [16896/46250]	Loss: 1.6951	LR: 0.035912
Training Epoch: 1 [17152/46250]	Loss: 1.6600	LR: 0.036464
Training Epoch: 1 [17408/46250]	Loss: 1.6711	LR: 0.037017
Training Epoch: 1 [17664/46250]	Loss: 1.5991	LR: 0.037569
Training Epoch: 1 [17920/46250]	Loss: 1.6894	LR: 0.038122
Training Epoch: 1 [18176/46250]	Loss: 1.6928	LR: 0.038674
Training Epoch: 1 [18432/46250]	Loss: 1.6637	LR: 0.039227
Training Epoch: 1 [18688/46250]	Loss: 1.7835	LR: 0.039779
Training Epoch: 1 [18944/46250]	Loss: 1.7109	LR: 0.040331
Training Epoch: 1 [19200/46250]	Loss: 1.5688	LR: 0.040884
Training Epoch: 1 [19456/46250]	Loss: 1.8875	LR: 0.041436
Training Epoch: 1 [19712/46250]	Loss: 1.5871	LR: 0.041989
Training Epoch: 1 [19968/46250]	Loss: 1.6959	LR: 0.042541
Training Epoch: 1 [20224/46250]	Loss: 1.6222	LR: 0.043094
Training Epoch: 1 [20480/46250]	Loss: 1.7992	LR: 0.043646
Training Epoch: 1 [20736/46250]	Loss: 1.7235	LR: 0.044199
Training Epoch: 1 [20992/46250]	Loss: 1.6371	LR: 0.044751
Training Epoch: 1 [21248/46250]	Loss: 1.7771	LR: 0.045304
Training Epoch: 1 [21504/46250]	Loss: 1.6523	LR: 0.045856
Training Epoch: 1 [21760/46250]	Loss: 1.8072	LR: 0.046409
Training Epoch: 1 [22016/46250]	Loss: 1.6515	LR: 0.046961
Training Epoch: 1 [22272/46250]	Loss: 1.8077	LR: 0.047514
Training Epoch: 1 [22528/46250]	Loss: 1.8709	LR: 0.048066
Training Epoch: 1 [22784/46250]	Loss: 1.6191	LR: 0.048619
Training Epoch: 1 [23040/46250]	Loss: 1.7897	LR: 0.049171
Training Epoch: 1 [23296/46250]	Loss: 1.7681	LR: 0.049724
Training Epoch: 1 [23552/46250]	Loss: 1.6960	LR: 0.050276
Training Epoch: 1 [23808/46250]	Loss: 1.8235	LR: 0.050829
Training Epoch: 1 [24064/46250]	Loss: 1.5656	LR: 0.051381
Training Epoch: 1 [24320/46250]	Loss: 1.8720	LR: 0.051934
Training Epoch: 1 [24576/46250]	Loss: 1.6794	LR: 0.052486
Training Epoch: 1 [24832/46250]	Loss: 1.5644	LR: 0.053039
Training Epoch: 1 [25088/46250]	Loss: 1.7657	LR: 0.053591
Training Epoch: 1 [25344/46250]	Loss: 1.6355	LR: 0.054144
Training Epoch: 1 [25600/46250]	Loss: 1.6758	LR: 0.054696
Training Epoch: 1 [25856/46250]	Loss: 1.6647	LR: 0.055249
Training Epoch: 1 [26112/46250]	Loss: 1.7025	LR: 0.055801
Training Epoch: 1 [26368/46250]	Loss: 1.6608	LR: 0.056354
Training Epoch: 1 [26624/46250]	Loss: 1.7252	LR: 0.056906
Training Epoch: 1 [26880/46250]	Loss: 1.7989	LR: 0.057459
Training Epoch: 1 [27136/46250]	Loss: 1.7075	LR: 0.058011
Training Epoch: 1 [27392/46250]	Loss: 1.4327	LR: 0.058564
Training Epoch: 1 [27648/46250]	Loss: 1.7545	LR: 0.059116
Training Epoch: 1 [27904/46250]	Loss: 1.6371	LR: 0.059669
Training Epoch: 1 [28160/46250]	Loss: 1.6077	LR: 0.060221
Training Epoch: 1 [28416/46250]	Loss: 1.7483	LR: 0.060773
Training Epoch: 1 [28672/46250]	Loss: 1.7170	LR: 0.061326
Training Epoch: 1 [28928/46250]	Loss: 1.8034	LR: 0.061878
Training Epoch: 1 [29184/46250]	Loss: 1.6216	LR: 0.062431
Training Epoch: 1 [29440/46250]	Loss: 1.6593	LR: 0.062983
Training Epoch: 1 [29696/46250]	Loss: 1.6064	LR: 0.063536
Training Epoch: 1 [29952/46250]	Loss: 1.9257	LR: 0.064088
Training Epoch: 1 [30208/46250]	Loss: 1.6855	LR: 0.064641
Training Epoch: 1 [30464/46250]	Loss: 1.8028	LR: 0.065193
Training Epoch: 1 [30720/46250]	Loss: 1.6234	LR: 0.065746
Training Epoch: 1 [30976/46250]	Loss: 1.7749	LR: 0.066298
Training Epoch: 1 [31232/46250]	Loss: 1.9582	LR: 0.066851
Training Epoch: 1 [31488/46250]	Loss: 1.8098	LR: 0.067403
Training Epoch: 1 [31744/46250]	Loss: 1.6144	LR: 0.067956
Training Epoch: 1 [32000/46250]	Loss: 1.8953	LR: 0.068508
Training Epoch: 1 [32256/46250]	Loss: 1.7963	LR: 0.069061
Training Epoch: 1 [32512/46250]	Loss: 1.6145	LR: 0.069613
Training Epoch: 1 [32768/46250]	Loss: 1.6868	LR: 0.070166
Training Epoch: 1 [33024/46250]	Loss: 1.7062	LR: 0.070718
Training Epoch: 1 [33280/46250]	Loss: 1.6659	LR: 0.071271
Training Epoch: 1 [33536/46250]	Loss: 1.3422	LR: 0.071823
Training Epoch: 1 [33792/46250]	Loss: 1.4998	LR: 0.072376
Training Epoch: 1 [34048/46250]	Loss: 1.5237	LR: 0.072928
Training Epoch: 1 [34304/46250]	Loss: 1.7443	LR: 0.073481
Training Epoch: 1 [34560/46250]	Loss: 1.5146	LR: 0.074033
Training Epoch: 1 [34816/46250]	Loss: 1.6179	LR: 0.074586
Training Epoch: 1 [35072/46250]	Loss: 1.6352	LR: 0.075138
Training Epoch: 1 [35328/46250]	Loss: 1.5243	LR: 0.075691
Training Epoch: 1 [35584/46250]	Loss: 1.4073	LR: 0.076243
Training Epoch: 1 [35840/46250]	Loss: 1.3651	LR: 0.076796
Training Epoch: 1 [36096/46250]	Loss: 1.5005	LR: 0.077348
Training Epoch: 1 [36352/46250]	Loss: 1.4770	LR: 0.077901
Training Epoch: 1 [36608/46250]	Loss: 1.4042	LR: 0.078453
Training Epoch: 1 [36864/46250]	Loss: 1.4307	LR: 0.079006
Training Epoch: 1 [37120/46250]	Loss: 1.5617	LR: 0.079558
Training Epoch: 1 [37376/46250]	Loss: 1.4491	LR: 0.080110
Training Epoch: 1 [37632/46250]	Loss: 1.4092	LR: 0.080663
Training Epoch: 1 [37888/46250]	Loss: 1.4598	LR: 0.081215
Training Epoch: 1 [38144/46250]	Loss: 1.3285	LR: 0.081768
Training Epoch: 1 [38400/46250]	Loss: 1.3408	LR: 0.082320
Training Epoch: 1 [38656/46250]	Loss: 1.5637	LR: 0.082873
Training Epoch: 1 [38912/46250]	Loss: 1.5458	LR: 0.083425
Training Epoch: 1 [39168/46250]	Loss: 1.4186	LR: 0.083978
Training Epoch: 1 [39424/46250]	Loss: 1.4413	LR: 0.084530
Training Epoch: 1 [39680/46250]	Loss: 1.4973	LR: 0.085083
Training Epoch: 1 [39936/46250]	Loss: 1.6690	LR: 0.085635
Training Epoch: 1 [40192/46250]	Loss: 1.4778	LR: 0.086188
Training Epoch: 1 [40448/46250]	Loss: 1.4867	LR: 0.086740
Training Epoch: 1 [40704/46250]	Loss: 1.4123	LR: 0.087293
Training Epoch: 1 [40960/46250]	Loss: 1.4973	LR: 0.087845
Training Epoch: 1 [41216/46250]	Loss: 1.5622	LR: 0.088398
Training Epoch: 1 [41472/46250]	Loss: 1.5473	LR: 0.088950
Training Epoch: 1 [41728/46250]	Loss: 1.4312	LR: 0.089503
Training Epoch: 1 [41984/46250]	Loss: 1.3990	LR: 0.090055
Training Epoch: 1 [42240/46250]	Loss: 1.5552	LR: 0.090608
Training Epoch: 1 [42496/46250]	Loss: 1.4798	LR: 0.091160
Training Epoch: 1 [42752/46250]	Loss: 1.5315	LR: 0.091713
Training Epoch: 1 [43008/46250]	Loss: 1.5603	LR: 0.092265
Training Epoch: 1 [43264/46250]	Loss: 1.4231	LR: 0.092818
Training Epoch: 1 [43520/46250]	Loss: 1.6934	LR: 0.093370
Training Epoch: 1 [43776/46250]	Loss: 1.5141	LR: 0.093923
Training Epoch: 1 [44032/46250]	Loss: 1.4487	LR: 0.094475
Training Epoch: 1 [44288/46250]	Loss: 1.5993	LR: 0.095028
Training Epoch: 1 [44544/46250]	Loss: 1.4402	LR: 0.095580
Training Epoch: 1 [44800/46250]	Loss: 1.4290	LR: 0.096133
Training Epoch: 1 [45056/46250]	Loss: 1.4141	LR: 0.096685
Training Epoch: 1 [45312/46250]	Loss: 1.5241	LR: 0.097238
Training Epoch: 1 [45568/46250]	Loss: 1.4656	LR: 0.097790
Training Epoch: 1 [45824/46250]	Loss: 1.4220	LR: 0.098343
Training Epoch: 1 [46080/46250]	Loss: 1.5751	LR: 0.098895
Training Epoch: 1 [46250/46250]	Loss: 1.3509	LR: 0.099448
Epoch 1 - Average Train Loss: 1.7156, Train Accuracy: 0.3760
Epoch 1 training time consumed: 28.59s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0080, Accuracy: 0.3905, Time consumed:1.05s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_07h_44m_59s/ResNet18-Cifar10-seed6-ret25-1-best.pth
Training Epoch: 2 [256/46250]	Loss: 1.3863	LR: 0.100000
Training Epoch: 2 [512/46250]	Loss: 1.4479	LR: 0.100000
Training Epoch: 2 [768/46250]	Loss: 1.3742	LR: 0.100000
Training Epoch: 2 [1024/46250]	Loss: 1.5676	LR: 0.100000
Training Epoch: 2 [1280/46250]	Loss: 1.3974	LR: 0.100000
Training Epoch: 2 [1536/46250]	Loss: 1.5190	LR: 0.100000
Training Epoch: 2 [1792/46250]	Loss: 1.3134	LR: 0.100000
Training Epoch: 2 [2048/46250]	Loss: 1.2539	LR: 0.100000
Training Epoch: 2 [2304/46250]	Loss: 1.2783	LR: 0.100000
Training Epoch: 2 [2560/46250]	Loss: 1.4353	LR: 0.100000
Training Epoch: 2 [2816/46250]	Loss: 1.3358	LR: 0.100000
Training Epoch: 2 [3072/46250]	Loss: 1.3085	LR: 0.100000
Training Epoch: 2 [3328/46250]	Loss: 1.3112	LR: 0.100000
Training Epoch: 2 [3584/46250]	Loss: 1.2929	LR: 0.100000
Training Epoch: 2 [3840/46250]	Loss: 1.3233	LR: 0.100000
Training Epoch: 2 [4096/46250]	Loss: 1.2598	LR: 0.100000
Training Epoch: 2 [4352/46250]	Loss: 1.3657	LR: 0.100000
Training Epoch: 2 [4608/46250]	Loss: 1.2064	LR: 0.100000
Training Epoch: 2 [4864/46250]	Loss: 1.4448	LR: 0.100000
Training Epoch: 2 [5120/46250]	Loss: 1.3730	LR: 0.100000
Training Epoch: 2 [5376/46250]	Loss: 1.3070	LR: 0.100000
Training Epoch: 2 [5632/46250]	Loss: 1.3200	LR: 0.100000
Training Epoch: 2 [5888/46250]	Loss: 1.3761	LR: 0.100000
Training Epoch: 2 [6144/46250]	Loss: 1.4600	LR: 0.100000
Training Epoch: 2 [6400/46250]	Loss: 1.4759	LR: 0.100000
Training Epoch: 2 [6656/46250]	Loss: 1.3910	LR: 0.100000
Training Epoch: 2 [6912/46250]	Loss: 1.3999	LR: 0.100000
Training Epoch: 2 [7168/46250]	Loss: 1.2949	LR: 0.100000
Training Epoch: 2 [7424/46250]	Loss: 1.2165	LR: 0.100000
Training Epoch: 2 [7680/46250]	Loss: 1.3352	LR: 0.100000
Training Epoch: 2 [7936/46250]	Loss: 1.3789	LR: 0.100000
Training Epoch: 2 [8192/46250]	Loss: 1.4979	LR: 0.100000
Training Epoch: 2 [8448/46250]	Loss: 1.4030	LR: 0.100000
Training Epoch: 2 [8704/46250]	Loss: 1.5399	LR: 0.100000
Training Epoch: 2 [8960/46250]	Loss: 1.2884	LR: 0.100000
Training Epoch: 2 [9216/46250]	Loss: 1.3995	LR: 0.100000
Training Epoch: 2 [9472/46250]	Loss: 1.3713	LR: 0.100000
Training Epoch: 2 [9728/46250]	Loss: 1.4319	LR: 0.100000
Training Epoch: 2 [9984/46250]	Loss: 1.3227	LR: 0.100000
Training Epoch: 2 [10240/46250]	Loss: 1.3495	LR: 0.100000
Training Epoch: 2 [10496/46250]	Loss: 1.2334	LR: 0.100000
Training Epoch: 2 [10752/46250]	Loss: 1.4567	LR: 0.100000
Training Epoch: 2 [11008/46250]	Loss: 1.2621	LR: 0.100000
Training Epoch: 2 [11264/46250]	Loss: 1.3916	LR: 0.100000
Training Epoch: 2 [11520/46250]	Loss: 1.3916	LR: 0.100000
Training Epoch: 2 [11776/46250]	Loss: 1.2459	LR: 0.100000
Training Epoch: 2 [12032/46250]	Loss: 1.5140	LR: 0.100000
Training Epoch: 2 [12288/46250]	Loss: 1.3334	LR: 0.100000
Training Epoch: 2 [12544/46250]	Loss: 1.2460	LR: 0.100000
Training Epoch: 2 [12800/46250]	Loss: 1.2462	LR: 0.100000
Training Epoch: 2 [13056/46250]	Loss: 1.4459	LR: 0.100000
Training Epoch: 2 [13312/46250]	Loss: 1.3490	LR: 0.100000
Training Epoch: 2 [13568/46250]	Loss: 1.2580	LR: 0.100000
Training Epoch: 2 [13824/46250]	Loss: 1.2772	LR: 0.100000
Training Epoch: 2 [14080/46250]	Loss: 1.4074	LR: 0.100000
Training Epoch: 2 [14336/46250]	Loss: 1.2097	LR: 0.100000
Training Epoch: 2 [14592/46250]	Loss: 1.2073	LR: 0.100000
Training Epoch: 2 [14848/46250]	Loss: 1.3528	LR: 0.100000
Training Epoch: 2 [15104/46250]	Loss: 1.4229	LR: 0.100000
Training Epoch: 2 [15360/46250]	Loss: 1.2232	LR: 0.100000
Training Epoch: 2 [15616/46250]	Loss: 1.2198	LR: 0.100000
Training Epoch: 2 [15872/46250]	Loss: 1.3821	LR: 0.100000
Training Epoch: 2 [16128/46250]	Loss: 1.2255	LR: 0.100000
Training Epoch: 2 [16384/46250]	Loss: 1.1220	LR: 0.100000
Training Epoch: 2 [16640/46250]	Loss: 1.2472	LR: 0.100000
Training Epoch: 2 [16896/46250]	Loss: 1.0384	LR: 0.100000
Training Epoch: 2 [17152/46250]	Loss: 1.1313	LR: 0.100000
Training Epoch: 2 [17408/46250]	Loss: 1.3055	LR: 0.100000
Training Epoch: 2 [17664/46250]	Loss: 1.1674	LR: 0.100000
Training Epoch: 2 [17920/46250]	Loss: 1.3267	LR: 0.100000
Training Epoch: 2 [18176/46250]	Loss: 1.2487	LR: 0.100000
Training Epoch: 2 [18432/46250]	Loss: 1.3050	LR: 0.100000
Training Epoch: 2 [18688/46250]	Loss: 1.2449	LR: 0.100000
Training Epoch: 2 [18944/46250]	Loss: 1.2585	LR: 0.100000
Training Epoch: 2 [19200/46250]	Loss: 1.3121	LR: 0.100000
Training Epoch: 2 [19456/46250]	Loss: 1.3399	LR: 0.100000
Training Epoch: 2 [19712/46250]	Loss: 1.1728	LR: 0.100000
Training Epoch: 2 [19968/46250]	Loss: 1.2978	LR: 0.100000
Training Epoch: 2 [20224/46250]	Loss: 1.3563	LR: 0.100000
Training Epoch: 2 [20480/46250]	Loss: 1.2450	LR: 0.100000
Training Epoch: 2 [20736/46250]	Loss: 1.4004	LR: 0.100000
Training Epoch: 2 [20992/46250]	Loss: 1.2242	LR: 0.100000
Training Epoch: 2 [21248/46250]	Loss: 1.2219	LR: 0.100000
Training Epoch: 2 [21504/46250]	Loss: 1.2845	LR: 0.100000
Training Epoch: 2 [21760/46250]	Loss: 1.2119	LR: 0.100000
Training Epoch: 2 [22016/46250]	Loss: 1.2440	LR: 0.100000
Training Epoch: 2 [22272/46250]	Loss: 1.3067	LR: 0.100000
Training Epoch: 2 [22528/46250]	Loss: 1.1390	LR: 0.100000
Training Epoch: 2 [22784/46250]	Loss: 1.3241	LR: 0.100000
Training Epoch: 2 [23040/46250]	Loss: 1.2183	LR: 0.100000
Training Epoch: 2 [23296/46250]	Loss: 1.2908	LR: 0.100000
Training Epoch: 2 [23552/46250]	Loss: 1.2670	LR: 0.100000
Training Epoch: 2 [23808/46250]	Loss: 1.2080	LR: 0.100000
Training Epoch: 2 [24064/46250]	Loss: 1.1456	LR: 0.100000
Training Epoch: 2 [24320/46250]	Loss: 1.2275	LR: 0.100000
Training Epoch: 2 [24576/46250]	Loss: 1.0955	LR: 0.100000
Training Epoch: 2 [24832/46250]	Loss: 1.1638	LR: 0.100000
Training Epoch: 2 [25088/46250]	Loss: 1.1559	LR: 0.100000
Training Epoch: 2 [25344/46250]	Loss: 1.1712	LR: 0.100000
Training Epoch: 2 [25600/46250]	Loss: 1.2300	LR: 0.100000
Training Epoch: 2 [25856/46250]	Loss: 1.3422	LR: 0.100000
Training Epoch: 2 [26112/46250]	Loss: 1.2006	LR: 0.100000
Training Epoch: 2 [26368/46250]	Loss: 1.1567	LR: 0.100000
Training Epoch: 2 [26624/46250]	Loss: 1.1467	LR: 0.100000
Training Epoch: 2 [26880/46250]	Loss: 1.1106	LR: 0.100000
Training Epoch: 2 [27136/46250]	Loss: 1.0595	LR: 0.100000
Training Epoch: 2 [27392/46250]	Loss: 1.1847	LR: 0.100000
Training Epoch: 2 [27648/46250]	Loss: 1.2224	LR: 0.100000
Training Epoch: 2 [27904/46250]	Loss: 1.2269	LR: 0.100000
Training Epoch: 2 [28160/46250]	Loss: 1.2126	LR: 0.100000
Training Epoch: 2 [28416/46250]	Loss: 1.2102	LR: 0.100000
Training Epoch: 2 [28672/46250]	Loss: 1.1657	LR: 0.100000
Training Epoch: 2 [28928/46250]	Loss: 1.1836	LR: 0.100000
Training Epoch: 2 [29184/46250]	Loss: 1.1923	LR: 0.100000
Training Epoch: 2 [29440/46250]	Loss: 1.1475	LR: 0.100000
Training Epoch: 2 [29696/46250]	Loss: 1.3022	LR: 0.100000
Training Epoch: 2 [29952/46250]	Loss: 1.1779	LR: 0.100000
Training Epoch: 2 [30208/46250]	Loss: 1.2414	LR: 0.100000
Training Epoch: 2 [30464/46250]	Loss: 1.1341	LR: 0.100000
Training Epoch: 2 [30720/46250]	Loss: 1.3283	LR: 0.100000
Training Epoch: 2 [30976/46250]	Loss: 1.1330	LR: 0.100000
Training Epoch: 2 [31232/46250]	Loss: 0.9371	LR: 0.100000
Training Epoch: 2 [31488/46250]	Loss: 1.0551	LR: 0.100000
Training Epoch: 2 [31744/46250]	Loss: 1.2252	LR: 0.100000
Training Epoch: 2 [32000/46250]	Loss: 1.2381	LR: 0.100000
Training Epoch: 2 [32256/46250]	Loss: 1.2155	LR: 0.100000
Training Epoch: 2 [32512/46250]	Loss: 0.9609	LR: 0.100000
Training Epoch: 2 [32768/46250]	Loss: 1.2568	LR: 0.100000
Training Epoch: 2 [33024/46250]	Loss: 1.2436	LR: 0.100000
Training Epoch: 2 [33280/46250]	Loss: 1.0691	LR: 0.100000
Training Epoch: 2 [33536/46250]	Loss: 1.0185	LR: 0.100000
Training Epoch: 2 [33792/46250]	Loss: 1.2805	LR: 0.100000
Training Epoch: 2 [34048/46250]	Loss: 1.1471	LR: 0.100000
Training Epoch: 2 [34304/46250]	Loss: 1.1071	LR: 0.100000
Training Epoch: 2 [34560/46250]	Loss: 1.1642	LR: 0.100000
Training Epoch: 2 [34816/46250]	Loss: 0.9971	LR: 0.100000
Training Epoch: 2 [35072/46250]	Loss: 1.3094	LR: 0.100000
Training Epoch: 2 [35328/46250]	Loss: 1.1373	LR: 0.100000
Training Epoch: 2 [35584/46250]	Loss: 1.1272	LR: 0.100000
Training Epoch: 2 [35840/46250]	Loss: 1.2241	LR: 0.100000
Training Epoch: 2 [36096/46250]	Loss: 1.0476	LR: 0.100000
Training Epoch: 2 [36352/46250]	Loss: 1.0534	LR: 0.100000
Training Epoch: 2 [36608/46250]	Loss: 1.0550	LR: 0.100000
Training Epoch: 2 [36864/46250]	Loss: 1.1538	LR: 0.100000
Training Epoch: 2 [37120/46250]	Loss: 1.0285	LR: 0.100000
Training Epoch: 2 [37376/46250]	Loss: 0.9939	LR: 0.100000
Training Epoch: 2 [37632/46250]	Loss: 1.0984	LR: 0.100000
Training Epoch: 2 [37888/46250]	Loss: 1.1711	LR: 0.100000
Training Epoch: 2 [38144/46250]	Loss: 1.2314	LR: 0.100000
Training Epoch: 2 [38400/46250]	Loss: 1.0894	LR: 0.100000
Training Epoch: 2 [38656/46250]	Loss: 1.1246	LR: 0.100000
Training Epoch: 2 [38912/46250]	Loss: 1.1272	LR: 0.100000
Training Epoch: 2 [39168/46250]	Loss: 1.2095	LR: 0.100000
Training Epoch: 2 [39424/46250]	Loss: 1.1054	LR: 0.100000
Training Epoch: 2 [39680/46250]	Loss: 1.1163	LR: 0.100000
Training Epoch: 2 [39936/46250]	Loss: 1.0730	LR: 0.100000
Training Epoch: 2 [40192/46250]	Loss: 1.0844	LR: 0.100000
Training Epoch: 2 [40448/46250]	Loss: 1.1131	LR: 0.100000
Training Epoch: 2 [40704/46250]	Loss: 1.0046	LR: 0.100000
Training Epoch: 2 [40960/46250]	Loss: 1.0836	LR: 0.100000
Training Epoch: 2 [41216/46250]	Loss: 1.0744	LR: 0.100000
Training Epoch: 2 [41472/46250]	Loss: 1.0817	LR: 0.100000
Training Epoch: 2 [41728/46250]	Loss: 1.0064	LR: 0.100000
Training Epoch: 2 [41984/46250]	Loss: 0.9475	LR: 0.100000
Training Epoch: 2 [42240/46250]	Loss: 1.0144	LR: 0.100000
Training Epoch: 2 [42496/46250]	Loss: 1.1046	LR: 0.100000
Training Epoch: 2 [42752/46250]	Loss: 1.1002	LR: 0.100000
Training Epoch: 2 [43008/46250]	Loss: 0.9969	LR: 0.100000
Training Epoch: 2 [43264/46250]	Loss: 0.9202	LR: 0.100000
Training Epoch: 2 [43520/46250]	Loss: 0.9775	LR: 0.100000
Training Epoch: 2 [43776/46250]	Loss: 1.2038	LR: 0.100000
Training Epoch: 2 [44032/46250]	Loss: 1.0880	LR: 0.100000
Training Epoch: 2 [44288/46250]	Loss: 1.0669	LR: 0.100000
Training Epoch: 2 [44544/46250]	Loss: 1.2236	LR: 0.100000
Training Epoch: 2 [44800/46250]	Loss: 1.0324	LR: 0.100000
Training Epoch: 2 [45056/46250]	Loss: 1.2241	LR: 0.100000
Training Epoch: 2 [45312/46250]	Loss: 1.0093	LR: 0.100000
Training Epoch: 2 [45568/46250]	Loss: 1.0198	LR: 0.100000
Training Epoch: 2 [45824/46250]	Loss: 1.1396	LR: 0.100000
Training Epoch: 2 [46080/46250]	Loss: 0.9594	LR: 0.100000
Training Epoch: 2 [46250/46250]	Loss: 1.2083	LR: 0.100000
Epoch 2 - Average Train Loss: 1.2258, Train Accuracy: 0.5644
Epoch 2 training time consumed: 27.84s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0048, Accuracy: 0.5864, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_07h_44m_59s/ResNet18-Cifar10-seed6-ret25-2-best.pth
Training Epoch: 3 [256/46250]	Loss: 0.9858	LR: 0.100000
Training Epoch: 3 [512/46250]	Loss: 1.0471	LR: 0.100000
Training Epoch: 3 [768/46250]	Loss: 1.0166	LR: 0.100000
Training Epoch: 3 [1024/46250]	Loss: 0.9528	LR: 0.100000
Training Epoch: 3 [1280/46250]	Loss: 1.0047	LR: 0.100000
Training Epoch: 3 [1536/46250]	Loss: 1.0165	LR: 0.100000
Training Epoch: 3 [1792/46250]	Loss: 1.1173	LR: 0.100000
Training Epoch: 3 [2048/46250]	Loss: 0.9675	LR: 0.100000
Training Epoch: 3 [2304/46250]	Loss: 1.0215	LR: 0.100000
Training Epoch: 3 [2560/46250]	Loss: 1.2167	LR: 0.100000
Training Epoch: 3 [2816/46250]	Loss: 1.1596	LR: 0.100000
Training Epoch: 3 [3072/46250]	Loss: 0.8594	LR: 0.100000
Training Epoch: 3 [3328/46250]	Loss: 1.1883	LR: 0.100000
Training Epoch: 3 [3584/46250]	Loss: 1.1123	LR: 0.100000
Training Epoch: 3 [3840/46250]	Loss: 1.0694	LR: 0.100000
Training Epoch: 3 [4096/46250]	Loss: 1.0368	LR: 0.100000
Training Epoch: 3 [4352/46250]	Loss: 1.1300	LR: 0.100000
Training Epoch: 3 [4608/46250]	Loss: 1.0482	LR: 0.100000
Training Epoch: 3 [4864/46250]	Loss: 0.9818	LR: 0.100000
Training Epoch: 3 [5120/46250]	Loss: 1.0194	LR: 0.100000
Training Epoch: 3 [5376/46250]	Loss: 0.9633	LR: 0.100000
Training Epoch: 3 [5632/46250]	Loss: 0.9505	LR: 0.100000
Training Epoch: 3 [5888/46250]	Loss: 1.0207	LR: 0.100000
Training Epoch: 3 [6144/46250]	Loss: 0.9738	LR: 0.100000
Training Epoch: 3 [6400/46250]	Loss: 1.1630	LR: 0.100000
Training Epoch: 3 [6656/46250]	Loss: 0.9725	LR: 0.100000
Training Epoch: 3 [6912/46250]	Loss: 0.9303	LR: 0.100000
Training Epoch: 3 [7168/46250]	Loss: 0.9424	LR: 0.100000
Training Epoch: 3 [7424/46250]	Loss: 1.0509	LR: 0.100000
Training Epoch: 3 [7680/46250]	Loss: 0.9920	LR: 0.100000
Training Epoch: 3 [7936/46250]	Loss: 1.0219	LR: 0.100000
Training Epoch: 3 [8192/46250]	Loss: 1.0134	LR: 0.100000
Training Epoch: 3 [8448/46250]	Loss: 0.9414	LR: 0.100000
Training Epoch: 3 [8704/46250]	Loss: 1.1854	LR: 0.100000
Training Epoch: 3 [8960/46250]	Loss: 0.9815	LR: 0.100000
Training Epoch: 3 [9216/46250]	Loss: 0.9996	LR: 0.100000
Training Epoch: 3 [9472/46250]	Loss: 0.9344	LR: 0.100000
Training Epoch: 3 [9728/46250]	Loss: 0.9537	LR: 0.100000
Training Epoch: 3 [9984/46250]	Loss: 1.1046	LR: 0.100000
Training Epoch: 3 [10240/46250]	Loss: 0.9579	LR: 0.100000
Training Epoch: 3 [10496/46250]	Loss: 0.9232	LR: 0.100000
Training Epoch: 3 [10752/46250]	Loss: 1.0333	LR: 0.100000
Training Epoch: 3 [11008/46250]	Loss: 0.9950	LR: 0.100000
Training Epoch: 3 [11264/46250]	Loss: 1.0693	LR: 0.100000
Training Epoch: 3 [11520/46250]	Loss: 0.9800	LR: 0.100000
Training Epoch: 3 [11776/46250]	Loss: 1.0919	LR: 0.100000
Training Epoch: 3 [12032/46250]	Loss: 1.1248	LR: 0.100000
Training Epoch: 3 [12288/46250]	Loss: 1.1217	LR: 0.100000
Training Epoch: 3 [12544/46250]	Loss: 1.0303	LR: 0.100000
Training Epoch: 3 [12800/46250]	Loss: 1.0068	LR: 0.100000
Training Epoch: 3 [13056/46250]	Loss: 0.9624	LR: 0.100000
Training Epoch: 3 [13312/46250]	Loss: 1.0337	LR: 0.100000
Training Epoch: 3 [13568/46250]	Loss: 0.8699	LR: 0.100000
Training Epoch: 3 [13824/46250]	Loss: 0.9749	LR: 0.100000
Training Epoch: 3 [14080/46250]	Loss: 1.0053	LR: 0.100000
Training Epoch: 3 [14336/46250]	Loss: 0.9507	LR: 0.100000
Training Epoch: 3 [14592/46250]	Loss: 0.9302	LR: 0.100000
Training Epoch: 3 [14848/46250]	Loss: 1.0222	LR: 0.100000
Training Epoch: 3 [15104/46250]	Loss: 1.0309	LR: 0.100000
Training Epoch: 3 [15360/46250]	Loss: 0.9447	LR: 0.100000
Training Epoch: 3 [15616/46250]	Loss: 0.7792	LR: 0.100000
Training Epoch: 3 [15872/46250]	Loss: 1.0384	LR: 0.100000
Training Epoch: 3 [16128/46250]	Loss: 1.0418	LR: 0.100000
Training Epoch: 3 [16384/46250]	Loss: 0.9425	LR: 0.100000
Training Epoch: 3 [16640/46250]	Loss: 1.0037	LR: 0.100000
Training Epoch: 3 [16896/46250]	Loss: 0.9831	LR: 0.100000
Training Epoch: 3 [17152/46250]	Loss: 0.8562	LR: 0.100000
Training Epoch: 3 [17408/46250]	Loss: 0.9898	LR: 0.100000
Training Epoch: 3 [17664/46250]	Loss: 0.8290	LR: 0.100000
Training Epoch: 3 [17920/46250]	Loss: 1.0759	LR: 0.100000
Training Epoch: 3 [18176/46250]	Loss: 0.9391	LR: 0.100000
Training Epoch: 3 [18432/46250]	Loss: 1.0212	LR: 0.100000
Training Epoch: 3 [18688/46250]	Loss: 0.9895	LR: 0.100000
Training Epoch: 3 [18944/46250]	Loss: 1.0425	LR: 0.100000
Training Epoch: 3 [19200/46250]	Loss: 1.0882	LR: 0.100000
Training Epoch: 3 [19456/46250]	Loss: 0.9458	LR: 0.100000
Training Epoch: 3 [19712/46250]	Loss: 0.8919	LR: 0.100000
Training Epoch: 3 [19968/46250]	Loss: 0.8247	LR: 0.100000
Training Epoch: 3 [20224/46250]	Loss: 0.9530	LR: 0.100000
Training Epoch: 3 [20480/46250]	Loss: 1.0603	LR: 0.100000
Training Epoch: 3 [20736/46250]	Loss: 1.0329	LR: 0.100000
Training Epoch: 3 [20992/46250]	Loss: 0.9340	LR: 0.100000
Training Epoch: 3 [21248/46250]	Loss: 1.0405	LR: 0.100000
Training Epoch: 3 [21504/46250]	Loss: 1.1679	LR: 0.100000
Training Epoch: 3 [21760/46250]	Loss: 0.9897	LR: 0.100000
Training Epoch: 3 [22016/46250]	Loss: 1.0434	LR: 0.100000
Training Epoch: 3 [22272/46250]	Loss: 0.8796	LR: 0.100000
Training Epoch: 3 [22528/46250]	Loss: 0.9364	LR: 0.100000
Training Epoch: 3 [22784/46250]	Loss: 1.0515	LR: 0.100000
Training Epoch: 3 [23040/46250]	Loss: 0.9695	LR: 0.100000
Training Epoch: 3 [23296/46250]	Loss: 0.9113	LR: 0.100000
Training Epoch: 3 [23552/46250]	Loss: 0.9375	LR: 0.100000
Training Epoch: 3 [23808/46250]	Loss: 1.0566	LR: 0.100000
Training Epoch: 3 [24064/46250]	Loss: 1.0514	LR: 0.100000
Training Epoch: 3 [24320/46250]	Loss: 1.0179	LR: 0.100000
Training Epoch: 3 [24576/46250]	Loss: 0.8944	LR: 0.100000
Training Epoch: 3 [24832/46250]	Loss: 0.9427	LR: 0.100000
Training Epoch: 3 [25088/46250]	Loss: 0.8775	LR: 0.100000
Training Epoch: 3 [25344/46250]	Loss: 0.9505	LR: 0.100000
Training Epoch: 3 [25600/46250]	Loss: 0.9846	LR: 0.100000
Training Epoch: 3 [25856/46250]	Loss: 0.8603	LR: 0.100000
Training Epoch: 3 [26112/46250]	Loss: 0.8965	LR: 0.100000
Training Epoch: 3 [26368/46250]	Loss: 1.0333	LR: 0.100000
Training Epoch: 3 [26624/46250]	Loss: 0.9702	LR: 0.100000
Training Epoch: 3 [26880/46250]	Loss: 1.0575	LR: 0.100000
Training Epoch: 3 [27136/46250]	Loss: 0.8853	LR: 0.100000
Training Epoch: 3 [27392/46250]	Loss: 0.8183	LR: 0.100000
Training Epoch: 3 [27648/46250]	Loss: 0.8960	LR: 0.100000
Training Epoch: 3 [27904/46250]	Loss: 0.9461	LR: 0.100000
Training Epoch: 3 [28160/46250]	Loss: 0.9909	LR: 0.100000
Training Epoch: 3 [28416/46250]	Loss: 0.9303	LR: 0.100000
Training Epoch: 3 [28672/46250]	Loss: 0.8218	LR: 0.100000
Training Epoch: 3 [28928/46250]	Loss: 0.9728	LR: 0.100000
Training Epoch: 3 [29184/46250]	Loss: 0.9858	LR: 0.100000
Training Epoch: 3 [29440/46250]	Loss: 0.8424	LR: 0.100000
Training Epoch: 3 [29696/46250]	Loss: 0.9445	LR: 0.100000
Training Epoch: 3 [29952/46250]	Loss: 0.8817	LR: 0.100000
Training Epoch: 3 [30208/46250]	Loss: 0.8400	LR: 0.100000
Training Epoch: 3 [30464/46250]	Loss: 0.9152	LR: 0.100000
Training Epoch: 3 [30720/46250]	Loss: 0.9437	LR: 0.100000
Training Epoch: 3 [30976/46250]	Loss: 0.9305	LR: 0.100000
Training Epoch: 3 [31232/46250]	Loss: 0.9427	LR: 0.100000
Training Epoch: 3 [31488/46250]	Loss: 0.9013	LR: 0.100000
Training Epoch: 3 [31744/46250]	Loss: 0.9488	LR: 0.100000
Training Epoch: 3 [32000/46250]	Loss: 0.8941	LR: 0.100000
Training Epoch: 3 [32256/46250]	Loss: 1.0080	LR: 0.100000
Training Epoch: 3 [32512/46250]	Loss: 0.9477	LR: 0.100000
Training Epoch: 3 [32768/46250]	Loss: 0.9162	LR: 0.100000
Training Epoch: 3 [33024/46250]	Loss: 0.9561	LR: 0.100000
Training Epoch: 3 [33280/46250]	Loss: 0.9419	LR: 0.100000
Training Epoch: 3 [33536/46250]	Loss: 0.9419	LR: 0.100000
Training Epoch: 3 [33792/46250]	Loss: 0.8947	LR: 0.100000
Training Epoch: 3 [34048/46250]	Loss: 0.9980	LR: 0.100000
Training Epoch: 3 [34304/46250]	Loss: 0.9402	LR: 0.100000
Training Epoch: 3 [34560/46250]	Loss: 0.9706	LR: 0.100000
Training Epoch: 3 [34816/46250]	Loss: 0.8883	LR: 0.100000
Training Epoch: 3 [35072/46250]	Loss: 0.8713	LR: 0.100000
Training Epoch: 3 [35328/46250]	Loss: 0.9644	LR: 0.100000
Training Epoch: 3 [35584/46250]	Loss: 0.8798	LR: 0.100000
Training Epoch: 3 [35840/46250]	Loss: 0.9401	LR: 0.100000
Training Epoch: 3 [36096/46250]	Loss: 0.9504	LR: 0.100000
Training Epoch: 3 [36352/46250]	Loss: 0.8758	LR: 0.100000
Training Epoch: 3 [36608/46250]	Loss: 0.8830	LR: 0.100000
Training Epoch: 3 [36864/46250]	Loss: 0.8924	LR: 0.100000
Training Epoch: 3 [37120/46250]	Loss: 0.9316	LR: 0.100000
Training Epoch: 3 [37376/46250]	Loss: 0.9305	LR: 0.100000
Training Epoch: 3 [37632/46250]	Loss: 0.7432	LR: 0.100000
Training Epoch: 3 [37888/46250]	Loss: 0.9228	LR: 0.100000
Training Epoch: 3 [38144/46250]	Loss: 0.9410	LR: 0.100000
Training Epoch: 3 [38400/46250]	Loss: 0.9809	LR: 0.100000
Training Epoch: 3 [38656/46250]	Loss: 0.9424	LR: 0.100000
Training Epoch: 3 [38912/46250]	Loss: 1.0185	LR: 0.100000
Training Epoch: 3 [39168/46250]	Loss: 0.7392	LR: 0.100000
Training Epoch: 3 [39424/46250]	Loss: 0.9287	LR: 0.100000
Training Epoch: 3 [39680/46250]	Loss: 0.8380	LR: 0.100000
Training Epoch: 3 [39936/46250]	Loss: 0.9710	LR: 0.100000
Training Epoch: 3 [40192/46250]	Loss: 0.8714	LR: 0.100000
Training Epoch: 3 [40448/46250]	Loss: 0.9473	LR: 0.100000
Training Epoch: 3 [40704/46250]	Loss: 1.0330	LR: 0.100000
Training Epoch: 3 [40960/46250]	Loss: 0.9740	LR: 0.100000
Training Epoch: 3 [41216/46250]	Loss: 0.9182	LR: 0.100000
Training Epoch: 3 [41472/46250]	Loss: 0.8914	LR: 0.100000
Training Epoch: 3 [41728/46250]	Loss: 0.8978	LR: 0.100000
Training Epoch: 3 [41984/46250]	Loss: 0.8567	LR: 0.100000
Training Epoch: 3 [42240/46250]	Loss: 0.9129	LR: 0.100000
Training Epoch: 3 [42496/46250]	Loss: 0.8755	LR: 0.100000
Training Epoch: 3 [42752/46250]	Loss: 0.8549	LR: 0.100000
Training Epoch: 3 [43008/46250]	Loss: 0.8722	LR: 0.100000
Training Epoch: 3 [43264/46250]	Loss: 0.8994	LR: 0.100000
Training Epoch: 3 [43520/46250]	Loss: 0.8105	LR: 0.100000
Training Epoch: 3 [43776/46250]	Loss: 0.9077	LR: 0.100000
Training Epoch: 3 [44032/46250]	Loss: 1.0704	LR: 0.100000
Training Epoch: 3 [44288/46250]	Loss: 0.9642	LR: 0.100000
Training Epoch: 3 [44544/46250]	Loss: 0.7600	LR: 0.100000
Training Epoch: 3 [44800/46250]	Loss: 0.7903	LR: 0.100000
Training Epoch: 3 [45056/46250]	Loss: 0.9718	LR: 0.100000
Training Epoch: 3 [45312/46250]	Loss: 1.0559	LR: 0.100000
Training Epoch: 3 [45568/46250]	Loss: 0.9404	LR: 0.100000
Training Epoch: 3 [45824/46250]	Loss: 0.7775	LR: 0.100000
Training Epoch: 3 [46080/46250]	Loss: 0.7749	LR: 0.100000
Training Epoch: 3 [46250/46250]	Loss: 0.8784	LR: 0.100000
Epoch 3 - Average Train Loss: 0.9625, Train Accuracy: 0.6595
Epoch 3 training time consumed: 27.78s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0039, Accuracy: 0.6701, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_07h_44m_59s/ResNet18-Cifar10-seed6-ret25-3-best.pth
Training Epoch: 4 [256/46250]	Loss: 0.8430	LR: 0.100000
Training Epoch: 4 [512/46250]	Loss: 0.8736	LR: 0.100000
Training Epoch: 4 [768/46250]	Loss: 0.9148	LR: 0.100000
Training Epoch: 4 [1024/46250]	Loss: 0.9811	LR: 0.100000
Training Epoch: 4 [1280/46250]	Loss: 0.9182	LR: 0.100000
Training Epoch: 4 [1536/46250]	Loss: 0.8607	LR: 0.100000
Training Epoch: 4 [1792/46250]	Loss: 0.8804	LR: 0.100000
Training Epoch: 4 [2048/46250]	Loss: 0.8464	LR: 0.100000
Training Epoch: 4 [2304/46250]	Loss: 0.8093	LR: 0.100000
Training Epoch: 4 [2560/46250]	Loss: 0.9377	LR: 0.100000
Training Epoch: 4 [2816/46250]	Loss: 0.8133	LR: 0.100000
Training Epoch: 4 [3072/46250]	Loss: 0.9048	LR: 0.100000
Training Epoch: 4 [3328/46250]	Loss: 0.8145	LR: 0.100000
Training Epoch: 4 [3584/46250]	Loss: 0.7302	LR: 0.100000
Training Epoch: 4 [3840/46250]	Loss: 0.8179	LR: 0.100000
Training Epoch: 4 [4096/46250]	Loss: 0.9354	LR: 0.100000
Training Epoch: 4 [4352/46250]	Loss: 0.8158	LR: 0.100000
Training Epoch: 4 [4608/46250]	Loss: 0.9129	LR: 0.100000
Training Epoch: 4 [4864/46250]	Loss: 0.8112	LR: 0.100000
Training Epoch: 4 [5120/46250]	Loss: 0.9200	LR: 0.100000
Training Epoch: 4 [5376/46250]	Loss: 0.7886	LR: 0.100000
Training Epoch: 4 [5632/46250]	Loss: 0.8665	LR: 0.100000
Training Epoch: 4 [5888/46250]	Loss: 0.7896	LR: 0.100000
Training Epoch: 4 [6144/46250]	Loss: 0.9800	LR: 0.100000
Training Epoch: 4 [6400/46250]	Loss: 0.8462	LR: 0.100000
Training Epoch: 4 [6656/46250]	Loss: 0.8588	LR: 0.100000
Training Epoch: 4 [6912/46250]	Loss: 0.8619	LR: 0.100000
Training Epoch: 4 [7168/46250]	Loss: 0.8503	LR: 0.100000
Training Epoch: 4 [7424/46250]	Loss: 0.8195	LR: 0.100000
Training Epoch: 4 [7680/46250]	Loss: 0.8186	LR: 0.100000
Training Epoch: 4 [7936/46250]	Loss: 0.7066	LR: 0.100000
Training Epoch: 4 [8192/46250]	Loss: 0.8522	LR: 0.100000
Training Epoch: 4 [8448/46250]	Loss: 0.8035	LR: 0.100000
Training Epoch: 4 [8704/46250]	Loss: 0.8812	LR: 0.100000
Training Epoch: 4 [8960/46250]	Loss: 0.7986	LR: 0.100000
Training Epoch: 4 [9216/46250]	Loss: 0.8333	LR: 0.100000
Training Epoch: 4 [9472/46250]	Loss: 0.9191	LR: 0.100000
Training Epoch: 4 [9728/46250]	Loss: 0.8932	LR: 0.100000
Training Epoch: 4 [9984/46250]	Loss: 0.7831	LR: 0.100000
Training Epoch: 4 [10240/46250]	Loss: 0.9357	LR: 0.100000
Training Epoch: 4 [10496/46250]	Loss: 0.8506	LR: 0.100000
Training Epoch: 4 [10752/46250]	Loss: 0.8502	LR: 0.100000
Training Epoch: 4 [11008/46250]	Loss: 0.8271	LR: 0.100000
Training Epoch: 4 [11264/46250]	Loss: 0.9203	LR: 0.100000
Training Epoch: 4 [11520/46250]	Loss: 0.8468	LR: 0.100000
Training Epoch: 4 [11776/46250]	Loss: 0.9616	LR: 0.100000
Training Epoch: 4 [12032/46250]	Loss: 0.7964	LR: 0.100000
Training Epoch: 4 [12288/46250]	Loss: 0.8209	LR: 0.100000
Training Epoch: 4 [12544/46250]	Loss: 0.8675	LR: 0.100000
Training Epoch: 4 [12800/46250]	Loss: 0.8255	LR: 0.100000
Training Epoch: 4 [13056/46250]	Loss: 0.8965	LR: 0.100000
Training Epoch: 4 [13312/46250]	Loss: 0.9580	LR: 0.100000
Training Epoch: 4 [13568/46250]	Loss: 0.8504	LR: 0.100000
Training Epoch: 4 [13824/46250]	Loss: 0.8752	LR: 0.100000
Training Epoch: 4 [14080/46250]	Loss: 0.9200	LR: 0.100000
Training Epoch: 4 [14336/46250]	Loss: 0.7461	LR: 0.100000
Training Epoch: 4 [14592/46250]	Loss: 0.8966	LR: 0.100000
Training Epoch: 4 [14848/46250]	Loss: 0.9178	LR: 0.100000
Training Epoch: 4 [15104/46250]	Loss: 0.7625	LR: 0.100000
Training Epoch: 4 [15360/46250]	Loss: 0.7581	LR: 0.100000
Training Epoch: 4 [15616/46250]	Loss: 0.7740	LR: 0.100000
Training Epoch: 4 [15872/46250]	Loss: 0.8993	LR: 0.100000
Training Epoch: 4 [16128/46250]	Loss: 0.8919	LR: 0.100000
Training Epoch: 4 [16384/46250]	Loss: 0.7725	LR: 0.100000
Training Epoch: 4 [16640/46250]	Loss: 0.8047	LR: 0.100000
Training Epoch: 4 [16896/46250]	Loss: 0.9538	LR: 0.100000
Training Epoch: 4 [17152/46250]	Loss: 0.7764	LR: 0.100000
Training Epoch: 4 [17408/46250]	Loss: 0.8835	LR: 0.100000
Training Epoch: 4 [17664/46250]	Loss: 0.8875	LR: 0.100000
Training Epoch: 4 [17920/46250]	Loss: 0.7907	LR: 0.100000
Training Epoch: 4 [18176/46250]	Loss: 0.7867	LR: 0.100000
Training Epoch: 4 [18432/46250]	Loss: 0.7863	LR: 0.100000
Training Epoch: 4 [18688/46250]	Loss: 0.8605	LR: 0.100000
Training Epoch: 4 [18944/46250]	Loss: 0.9608	LR: 0.100000
Training Epoch: 4 [19200/46250]	Loss: 0.7880	LR: 0.100000
Training Epoch: 4 [19456/46250]	Loss: 0.8726	LR: 0.100000
Training Epoch: 4 [19712/46250]	Loss: 0.8355	LR: 0.100000
Training Epoch: 4 [19968/46250]	Loss: 0.7854	LR: 0.100000
Training Epoch: 4 [20224/46250]	Loss: 0.7489	LR: 0.100000
Training Epoch: 4 [20480/46250]	Loss: 0.7836	LR: 0.100000
Training Epoch: 4 [20736/46250]	Loss: 0.8277	LR: 0.100000
Training Epoch: 4 [20992/46250]	Loss: 0.8003	LR: 0.100000
Training Epoch: 4 [21248/46250]	Loss: 0.9659	LR: 0.100000
Training Epoch: 4 [21504/46250]	Loss: 0.7214	LR: 0.100000
Training Epoch: 4 [21760/46250]	Loss: 0.9079	LR: 0.100000
Training Epoch: 4 [22016/46250]	Loss: 0.7482	LR: 0.100000
Training Epoch: 4 [22272/46250]	Loss: 0.7858	LR: 0.100000
Training Epoch: 4 [22528/46250]	Loss: 0.9053	LR: 0.100000
Training Epoch: 4 [22784/46250]	Loss: 0.8310	LR: 0.100000
Training Epoch: 4 [23040/46250]	Loss: 0.9324	LR: 0.100000
Training Epoch: 4 [23296/46250]	Loss: 0.8179	LR: 0.100000
Training Epoch: 4 [23552/46250]	Loss: 0.8316	LR: 0.100000
Training Epoch: 4 [23808/46250]	Loss: 0.9094	LR: 0.100000
Training Epoch: 4 [24064/46250]	Loss: 0.8867	LR: 0.100000
Training Epoch: 4 [24320/46250]	Loss: 0.8346	LR: 0.100000
Training Epoch: 4 [24576/46250]	Loss: 0.8358	LR: 0.100000
Training Epoch: 4 [24832/46250]	Loss: 0.9509	LR: 0.100000
Training Epoch: 4 [25088/46250]	Loss: 0.8393	LR: 0.100000
Training Epoch: 4 [25344/46250]	Loss: 0.8530	LR: 0.100000
Training Epoch: 4 [25600/46250]	Loss: 0.8790	LR: 0.100000
Training Epoch: 4 [25856/46250]	Loss: 0.7017	LR: 0.100000
Training Epoch: 4 [26112/46250]	Loss: 0.8247	LR: 0.100000
Training Epoch: 4 [26368/46250]	Loss: 0.8677	LR: 0.100000
Training Epoch: 4 [26624/46250]	Loss: 0.7581	LR: 0.100000
Training Epoch: 4 [26880/46250]	Loss: 0.7969	LR: 0.100000
Training Epoch: 4 [27136/46250]	Loss: 0.7845	LR: 0.100000
Training Epoch: 4 [27392/46250]	Loss: 0.7776	LR: 0.100000
Training Epoch: 4 [27648/46250]	Loss: 0.7638	LR: 0.100000
Training Epoch: 4 [27904/46250]	Loss: 0.8132	LR: 0.100000
Training Epoch: 4 [28160/46250]	Loss: 0.6982	LR: 0.100000
Training Epoch: 4 [28416/46250]	Loss: 0.9185	LR: 0.100000
Training Epoch: 4 [28672/46250]	Loss: 0.8242	LR: 0.100000
Training Epoch: 4 [28928/46250]	Loss: 0.7425	LR: 0.100000
Training Epoch: 4 [29184/46250]	Loss: 0.7810	LR: 0.100000
Training Epoch: 4 [29440/46250]	Loss: 0.7230	LR: 0.100000
Training Epoch: 4 [29696/46250]	Loss: 0.8812	LR: 0.100000
Training Epoch: 4 [29952/46250]	Loss: 0.6735	LR: 0.100000
Training Epoch: 4 [30208/46250]	Loss: 0.7086	LR: 0.100000
Training Epoch: 4 [30464/46250]	Loss: 0.8852	LR: 0.100000
Training Epoch: 4 [30720/46250]	Loss: 0.8201	LR: 0.100000
Training Epoch: 4 [30976/46250]	Loss: 0.6940	LR: 0.100000
Training Epoch: 4 [31232/46250]	Loss: 0.7878	LR: 0.100000
Training Epoch: 4 [31488/46250]	Loss: 0.7958	LR: 0.100000
Training Epoch: 4 [31744/46250]	Loss: 0.7502	LR: 0.100000
Training Epoch: 4 [32000/46250]	Loss: 0.7024	LR: 0.100000
Training Epoch: 4 [32256/46250]	Loss: 0.7305	LR: 0.100000
Training Epoch: 4 [32512/46250]	Loss: 0.8501	LR: 0.100000
Training Epoch: 4 [32768/46250]	Loss: 0.9107	LR: 0.100000
Training Epoch: 4 [33024/46250]	Loss: 0.8203	LR: 0.100000
Training Epoch: 4 [33280/46250]	Loss: 0.8511	LR: 0.100000
Training Epoch: 4 [33536/46250]	Loss: 0.8814	LR: 0.100000
Training Epoch: 4 [33792/46250]	Loss: 0.7480	LR: 0.100000
Training Epoch: 4 [34048/46250]	Loss: 0.8051	LR: 0.100000
Training Epoch: 4 [34304/46250]	Loss: 0.7108	LR: 0.100000
Training Epoch: 4 [34560/46250]	Loss: 0.9746	LR: 0.100000
Training Epoch: 4 [34816/46250]	Loss: 0.7988	LR: 0.100000
Training Epoch: 4 [35072/46250]	Loss: 0.7191	LR: 0.100000
Training Epoch: 4 [35328/46250]	Loss: 0.6980	LR: 0.100000
Training Epoch: 4 [35584/46250]	Loss: 1.0265	LR: 0.100000
Training Epoch: 4 [35840/46250]	Loss: 0.8353	LR: 0.100000
Training Epoch: 4 [36096/46250]	Loss: 0.7169	LR: 0.100000
Training Epoch: 4 [36352/46250]	Loss: 0.8200	LR: 0.100000
Training Epoch: 4 [36608/46250]	Loss: 0.7079	LR: 0.100000
Training Epoch: 4 [36864/46250]	Loss: 0.8127	LR: 0.100000
Training Epoch: 4 [37120/46250]	Loss: 0.7679	LR: 0.100000
Training Epoch: 4 [37376/46250]	Loss: 0.9460	LR: 0.100000
Training Epoch: 4 [37632/46250]	Loss: 0.9256	LR: 0.100000
Training Epoch: 4 [37888/46250]	Loss: 0.7511	LR: 0.100000
Training Epoch: 4 [38144/46250]	Loss: 0.8807	LR: 0.100000
Training Epoch: 4 [38400/46250]	Loss: 0.7835	LR: 0.100000
Training Epoch: 4 [38656/46250]	Loss: 0.7696	LR: 0.100000
Training Epoch: 4 [38912/46250]	Loss: 0.9390	LR: 0.100000
Training Epoch: 4 [39168/46250]	Loss: 0.8438	LR: 0.100000
Training Epoch: 4 [39424/46250]	Loss: 0.8280	LR: 0.100000
Training Epoch: 4 [39680/46250]	Loss: 0.7409	LR: 0.100000
Training Epoch: 4 [39936/46250]	Loss: 0.8951	LR: 0.100000
Training Epoch: 4 [40192/46250]	Loss: 0.7387	LR: 0.100000
Training Epoch: 4 [40448/46250]	Loss: 0.8606	LR: 0.100000
Training Epoch: 4 [40704/46250]	Loss: 0.8280	LR: 0.100000
Training Epoch: 4 [40960/46250]	Loss: 0.7056	LR: 0.100000
Training Epoch: 4 [41216/46250]	Loss: 0.7161	LR: 0.100000
Training Epoch: 4 [41472/46250]	Loss: 0.7512	LR: 0.100000
Training Epoch: 4 [41728/46250]	Loss: 0.6726	LR: 0.100000
Training Epoch: 4 [41984/46250]	Loss: 0.7880	LR: 0.100000
Training Epoch: 4 [42240/46250]	Loss: 0.8056	LR: 0.100000
Training Epoch: 4 [42496/46250]	Loss: 0.7083	LR: 0.100000
Training Epoch: 4 [42752/46250]	Loss: 0.8085	LR: 0.100000
Training Epoch: 4 [43008/46250]	Loss: 0.8073	LR: 0.100000
Training Epoch: 4 [43264/46250]	Loss: 0.8672	LR: 0.100000
Training Epoch: 4 [43520/46250]	Loss: 0.6963	LR: 0.100000
Training Epoch: 4 [43776/46250]	Loss: 0.8395	LR: 0.100000
Training Epoch: 4 [44032/46250]	Loss: 0.7152	LR: 0.100000
Training Epoch: 4 [44288/46250]	Loss: 0.7106	LR: 0.100000
Training Epoch: 4 [44544/46250]	Loss: 0.8212	LR: 0.100000
Training Epoch: 4 [44800/46250]	Loss: 0.7933	LR: 0.100000
Training Epoch: 4 [45056/46250]	Loss: 0.7517	LR: 0.100000
Training Epoch: 4 [45312/46250]	Loss: 0.8174	LR: 0.100000
Training Epoch: 4 [45568/46250]	Loss: 0.8987	LR: 0.100000
Training Epoch: 4 [45824/46250]	Loss: 0.7271	LR: 0.100000
Training Epoch: 4 [46080/46250]	Loss: 0.7689	LR: 0.100000
Training Epoch: 4 [46250/46250]	Loss: 0.6445	LR: 0.100000
Epoch 4 - Average Train Loss: 0.8251, Train Accuracy: 0.7078
Epoch 4 training time consumed: 27.75s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0034, Accuracy: 0.7008, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_07h_44m_59s/ResNet18-Cifar10-seed6-ret25-4-best.pth
Training Epoch: 5 [256/46250]	Loss: 0.7219	LR: 0.100000
Training Epoch: 5 [512/46250]	Loss: 0.7464	LR: 0.100000
Training Epoch: 5 [768/46250]	Loss: 0.8276	LR: 0.100000
Training Epoch: 5 [1024/46250]	Loss: 0.7470	LR: 0.100000
Training Epoch: 5 [1280/46250]	Loss: 0.7762	LR: 0.100000
Training Epoch: 5 [1536/46250]	Loss: 0.7015	LR: 0.100000
Training Epoch: 5 [1792/46250]	Loss: 0.7355	LR: 0.100000
Training Epoch: 5 [2048/46250]	Loss: 0.6677	LR: 0.100000
Training Epoch: 5 [2304/46250]	Loss: 0.7470	LR: 0.100000
Training Epoch: 5 [2560/46250]	Loss: 0.6935	LR: 0.100000
Training Epoch: 5 [2816/46250]	Loss: 0.6760	LR: 0.100000
Training Epoch: 5 [3072/46250]	Loss: 0.6525	LR: 0.100000
Training Epoch: 5 [3328/46250]	Loss: 0.6509	LR: 0.100000
Training Epoch: 5 [3584/46250]	Loss: 0.7779	LR: 0.100000
Training Epoch: 5 [3840/46250]	Loss: 0.6770	LR: 0.100000
Training Epoch: 5 [4096/46250]	Loss: 0.7688	LR: 0.100000
Training Epoch: 5 [4352/46250]	Loss: 0.7090	LR: 0.100000
Training Epoch: 5 [4608/46250]	Loss: 0.6502	LR: 0.100000
Training Epoch: 5 [4864/46250]	Loss: 0.7777	LR: 0.100000
Training Epoch: 5 [5120/46250]	Loss: 0.6508	LR: 0.100000
Training Epoch: 5 [5376/46250]	Loss: 0.7794	LR: 0.100000
Training Epoch: 5 [5632/46250]	Loss: 0.8412	LR: 0.100000
Training Epoch: 5 [5888/46250]	Loss: 0.8050	LR: 0.100000
Training Epoch: 5 [6144/46250]	Loss: 0.8077	LR: 0.100000
Training Epoch: 5 [6400/46250]	Loss: 0.6744	LR: 0.100000
Training Epoch: 5 [6656/46250]	Loss: 0.6420	LR: 0.100000
Training Epoch: 5 [6912/46250]	Loss: 0.6229	LR: 0.100000
Training Epoch: 5 [7168/46250]	Loss: 0.6257	LR: 0.100000
Training Epoch: 5 [7424/46250]	Loss: 0.8175	LR: 0.100000
Training Epoch: 5 [7680/46250]	Loss: 0.7923	LR: 0.100000
Training Epoch: 5 [7936/46250]	Loss: 0.7069	LR: 0.100000
Training Epoch: 5 [8192/46250]	Loss: 0.7447	LR: 0.100000
Training Epoch: 5 [8448/46250]	Loss: 0.8317	LR: 0.100000
Training Epoch: 5 [8704/46250]	Loss: 0.7967	LR: 0.100000
Training Epoch: 5 [8960/46250]	Loss: 0.7670	LR: 0.100000
Training Epoch: 5 [9216/46250]	Loss: 0.7750	LR: 0.100000
Training Epoch: 5 [9472/46250]	Loss: 0.7583	LR: 0.100000
Training Epoch: 5 [9728/46250]	Loss: 0.7038	LR: 0.100000
Training Epoch: 5 [9984/46250]	Loss: 0.8181	LR: 0.100000
Training Epoch: 5 [10240/46250]	Loss: 0.7400	LR: 0.100000
Training Epoch: 5 [10496/46250]	Loss: 0.6864	LR: 0.100000
Training Epoch: 5 [10752/46250]	Loss: 0.6557	LR: 0.100000
Training Epoch: 5 [11008/46250]	Loss: 0.5244	LR: 0.100000
Training Epoch: 5 [11264/46250]	Loss: 0.7159	LR: 0.100000
Training Epoch: 5 [11520/46250]	Loss: 0.7681	LR: 0.100000
Training Epoch: 5 [11776/46250]	Loss: 0.7245	LR: 0.100000
Training Epoch: 5 [12032/46250]	Loss: 0.7663	LR: 0.100000
Training Epoch: 5 [12288/46250]	Loss: 0.7157	LR: 0.100000
Training Epoch: 5 [12544/46250]	Loss: 0.7079	LR: 0.100000
Training Epoch: 5 [12800/46250]	Loss: 0.6471	LR: 0.100000
Training Epoch: 5 [13056/46250]	Loss: 0.8727	LR: 0.100000
Training Epoch: 5 [13312/46250]	Loss: 0.7927	LR: 0.100000
Training Epoch: 5 [13568/46250]	Loss: 0.7883	LR: 0.100000
Training Epoch: 5 [13824/46250]	Loss: 0.6708	LR: 0.100000
Training Epoch: 5 [14080/46250]	Loss: 0.6024	LR: 0.100000
Training Epoch: 5 [14336/46250]	Loss: 0.7102	LR: 0.100000
Training Epoch: 5 [14592/46250]	Loss: 0.6487	LR: 0.100000
Training Epoch: 5 [14848/46250]	Loss: 0.8206	LR: 0.100000
Training Epoch: 5 [15104/46250]	Loss: 0.7436	LR: 0.100000
Training Epoch: 5 [15360/46250]	Loss: 0.7673	LR: 0.100000
Training Epoch: 5 [15616/46250]	Loss: 0.6616	LR: 0.100000
Training Epoch: 5 [15872/46250]	Loss: 0.7664	LR: 0.100000
Training Epoch: 5 [16128/46250]	Loss: 0.7813	LR: 0.100000
Training Epoch: 5 [16384/46250]	Loss: 0.7877	LR: 0.100000
Training Epoch: 5 [16640/46250]	Loss: 0.7439	LR: 0.100000
Training Epoch: 5 [16896/46250]	Loss: 0.7569	LR: 0.100000
Training Epoch: 5 [17152/46250]	Loss: 0.6453	LR: 0.100000
Training Epoch: 5 [17408/46250]	Loss: 0.7079	LR: 0.100000
Training Epoch: 5 [17664/46250]	Loss: 0.6643	LR: 0.100000
Training Epoch: 5 [17920/46250]	Loss: 0.7792	LR: 0.100000
Training Epoch: 5 [18176/46250]	Loss: 0.6887	LR: 0.100000
Training Epoch: 5 [18432/46250]	Loss: 0.6848	LR: 0.100000
Training Epoch: 5 [18688/46250]	Loss: 0.7543	LR: 0.100000
Training Epoch: 5 [18944/46250]	Loss: 0.7532	LR: 0.100000
Training Epoch: 5 [19200/46250]	Loss: 0.8589	LR: 0.100000
Training Epoch: 5 [19456/46250]	Loss: 0.6854	LR: 0.100000
Training Epoch: 5 [19712/46250]	Loss: 0.6751	LR: 0.100000
Training Epoch: 5 [19968/46250]	Loss: 0.7307	LR: 0.100000
Training Epoch: 5 [20224/46250]	Loss: 0.7090	LR: 0.100000
Training Epoch: 5 [20480/46250]	Loss: 0.7104	LR: 0.100000
Training Epoch: 5 [20736/46250]	Loss: 0.8308	LR: 0.100000
Training Epoch: 5 [20992/46250]	Loss: 0.5909	LR: 0.100000
Training Epoch: 5 [21248/46250]	Loss: 0.8811	LR: 0.100000
Training Epoch: 5 [21504/46250]	Loss: 0.7182	LR: 0.100000
Training Epoch: 5 [21760/46250]	Loss: 0.8629	LR: 0.100000
Training Epoch: 5 [22016/46250]	Loss: 0.7874	LR: 0.100000
Training Epoch: 5 [22272/46250]	Loss: 0.7191	LR: 0.100000
Training Epoch: 5 [22528/46250]	Loss: 0.6879	LR: 0.100000
Training Epoch: 5 [22784/46250]	Loss: 0.6710	LR: 0.100000
Training Epoch: 5 [23040/46250]	Loss: 0.7534	LR: 0.100000
Training Epoch: 5 [23296/46250]	Loss: 0.8173	LR: 0.100000
Training Epoch: 5 [23552/46250]	Loss: 0.8505	LR: 0.100000
Training Epoch: 5 [23808/46250]	Loss: 0.7158	LR: 0.100000
Training Epoch: 5 [24064/46250]	Loss: 0.5930	LR: 0.100000
Training Epoch: 5 [24320/46250]	Loss: 0.7234	LR: 0.100000
Training Epoch: 5 [24576/46250]	Loss: 0.8139	LR: 0.100000
Training Epoch: 5 [24832/46250]	Loss: 0.7757	LR: 0.100000
Training Epoch: 5 [25088/46250]	Loss: 0.8876	LR: 0.100000
Training Epoch: 5 [25344/46250]	Loss: 0.8804	LR: 0.100000
Training Epoch: 5 [25600/46250]	Loss: 0.6802	LR: 0.100000
Training Epoch: 5 [25856/46250]	Loss: 0.7108	LR: 0.100000
Training Epoch: 5 [26112/46250]	Loss: 0.7389	LR: 0.100000
Training Epoch: 5 [26368/46250]	Loss: 0.7097	LR: 0.100000
Training Epoch: 5 [26624/46250]	Loss: 0.7434	LR: 0.100000
Training Epoch: 5 [26880/46250]	Loss: 0.6849	LR: 0.100000
Training Epoch: 5 [27136/46250]	Loss: 0.7726	LR: 0.100000
Training Epoch: 5 [27392/46250]	Loss: 0.7718	LR: 0.100000
Training Epoch: 5 [27648/46250]	Loss: 0.6919	LR: 0.100000
Training Epoch: 5 [27904/46250]	Loss: 0.6389	LR: 0.100000
Training Epoch: 5 [28160/46250]	Loss: 0.7164	LR: 0.100000
Training Epoch: 5 [28416/46250]	Loss: 0.8333	LR: 0.100000
Training Epoch: 5 [28672/46250]	Loss: 0.6305	LR: 0.100000
Training Epoch: 5 [28928/46250]	Loss: 0.5718	LR: 0.100000
Training Epoch: 5 [29184/46250]	Loss: 0.6671	LR: 0.100000
Training Epoch: 5 [29440/46250]	Loss: 0.6991	LR: 0.100000
Training Epoch: 5 [29696/46250]	Loss: 0.7154	LR: 0.100000
Training Epoch: 5 [29952/46250]	Loss: 0.6920	LR: 0.100000
Training Epoch: 5 [30208/46250]	Loss: 0.6954	LR: 0.100000
Training Epoch: 5 [30464/46250]	Loss: 0.6780	LR: 0.100000
Training Epoch: 5 [30720/46250]	Loss: 0.8658	LR: 0.100000
Training Epoch: 5 [30976/46250]	Loss: 0.7280	LR: 0.100000
Training Epoch: 5 [31232/46250]	Loss: 0.6762	LR: 0.100000
Training Epoch: 5 [31488/46250]	Loss: 0.5491	LR: 0.100000
Training Epoch: 5 [31744/46250]	Loss: 0.6738	LR: 0.100000
Training Epoch: 5 [32000/46250]	Loss: 0.6280	LR: 0.100000
Training Epoch: 5 [32256/46250]	Loss: 0.6821	LR: 0.100000
Training Epoch: 5 [32512/46250]	Loss: 0.6569	LR: 0.100000
Training Epoch: 5 [32768/46250]	Loss: 0.7825	LR: 0.100000
Training Epoch: 5 [33024/46250]	Loss: 0.6785	LR: 0.100000
Training Epoch: 5 [33280/46250]	Loss: 0.6682	LR: 0.100000
Training Epoch: 5 [33536/46250]	Loss: 0.7775	LR: 0.100000
Training Epoch: 5 [33792/46250]	Loss: 0.7187	LR: 0.100000
Training Epoch: 5 [34048/46250]	Loss: 0.7110	LR: 0.100000
Training Epoch: 5 [34304/46250]	Loss: 0.6377	LR: 0.100000
Training Epoch: 5 [34560/46250]	Loss: 0.7219	LR: 0.100000
Training Epoch: 5 [34816/46250]	Loss: 0.6753	LR: 0.100000
Training Epoch: 5 [35072/46250]	Loss: 0.7430	LR: 0.100000
Training Epoch: 5 [35328/46250]	Loss: 0.7073	LR: 0.100000
Training Epoch: 5 [35584/46250]	Loss: 0.8351	LR: 0.100000
Training Epoch: 5 [35840/46250]	Loss: 0.5682	LR: 0.100000
Training Epoch: 5 [36096/46250]	Loss: 0.8444	LR: 0.100000
Training Epoch: 5 [36352/46250]	Loss: 0.6831	LR: 0.100000
Training Epoch: 5 [36608/46250]	Loss: 0.7002	LR: 0.100000
Training Epoch: 5 [36864/46250]	Loss: 0.6748	LR: 0.100000
Training Epoch: 5 [37120/46250]	Loss: 0.6946	LR: 0.100000
Training Epoch: 5 [37376/46250]	Loss: 0.6661	LR: 0.100000
Training Epoch: 5 [37632/46250]	Loss: 0.8002	LR: 0.100000
Training Epoch: 5 [37888/46250]	Loss: 0.7619	LR: 0.100000
Training Epoch: 5 [38144/46250]	Loss: 0.7283	LR: 0.100000
Training Epoch: 5 [38400/46250]	Loss: 0.6913	LR: 0.100000
Training Epoch: 5 [38656/46250]	Loss: 0.7915	LR: 0.100000
Training Epoch: 5 [38912/46250]	Loss: 0.7332	LR: 0.100000
Training Epoch: 5 [39168/46250]	Loss: 0.7898	LR: 0.100000
Training Epoch: 5 [39424/46250]	Loss: 0.7182	LR: 0.100000
Training Epoch: 5 [39680/46250]	Loss: 0.7543	LR: 0.100000
Training Epoch: 5 [39936/46250]	Loss: 0.6267	LR: 0.100000
Training Epoch: 5 [40192/46250]	Loss: 0.6607	LR: 0.100000
Training Epoch: 5 [40448/46250]	Loss: 0.5701	LR: 0.100000
Training Epoch: 5 [40704/46250]	Loss: 0.7276	LR: 0.100000
Training Epoch: 5 [40960/46250]	Loss: 0.8077	LR: 0.100000
Training Epoch: 5 [41216/46250]	Loss: 0.6478	LR: 0.100000
Training Epoch: 5 [41472/46250]	Loss: 0.7414	LR: 0.100000
Training Epoch: 5 [41728/46250]	Loss: 0.7712	LR: 0.100000
Training Epoch: 5 [41984/46250]	Loss: 0.7332	LR: 0.100000
Training Epoch: 5 [42240/46250]	Loss: 0.7661	LR: 0.100000
Training Epoch: 5 [42496/46250]	Loss: 0.8234	LR: 0.100000
Training Epoch: 5 [42752/46250]	Loss: 0.6492	LR: 0.100000
Training Epoch: 5 [43008/46250]	Loss: 0.6752	LR: 0.100000
Training Epoch: 5 [43264/46250]	Loss: 0.7440	LR: 0.100000
Training Epoch: 5 [43520/46250]	Loss: 0.7527	LR: 0.100000
Training Epoch: 5 [43776/46250]	Loss: 0.6575	LR: 0.100000
Training Epoch: 5 [44032/46250]	Loss: 0.7664	LR: 0.100000
Training Epoch: 5 [44288/46250]	Loss: 0.6195	LR: 0.100000
Training Epoch: 5 [44544/46250]	Loss: 0.7313	LR: 0.100000
Training Epoch: 5 [44800/46250]	Loss: 0.7563	LR: 0.100000
Training Epoch: 5 [45056/46250]	Loss: 0.5433	LR: 0.100000
Training Epoch: 5 [45312/46250]	Loss: 0.7097	LR: 0.100000
Training Epoch: 5 [45568/46250]	Loss: 0.6617	LR: 0.100000
Training Epoch: 5 [45824/46250]	Loss: 0.7654	LR: 0.100000
Training Epoch: 5 [46080/46250]	Loss: 0.6548	LR: 0.100000
Training Epoch: 5 [46250/46250]	Loss: 0.5483	LR: 0.100000
Epoch 5 - Average Train Loss: 0.7225, Train Accuracy: 0.7471
Epoch 5 training time consumed: 28.49s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0032, Accuracy: 0.7277, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_07h_44m_59s/ResNet18-Cifar10-seed6-ret25-5-best.pth
Training Epoch: 6 [256/46250]	Loss: 0.6296	LR: 0.100000
Training Epoch: 6 [512/46250]	Loss: 0.6690	LR: 0.100000
Training Epoch: 6 [768/46250]	Loss: 0.7582	LR: 0.100000
Training Epoch: 6 [1024/46250]	Loss: 0.6430	LR: 0.100000
Training Epoch: 6 [1280/46250]	Loss: 0.5495	LR: 0.100000
Training Epoch: 6 [1536/46250]	Loss: 0.7224	LR: 0.100000
Training Epoch: 6 [1792/46250]	Loss: 0.7797	LR: 0.100000
Training Epoch: 6 [2048/46250]	Loss: 0.7671	LR: 0.100000
Training Epoch: 6 [2304/46250]	Loss: 0.7306	LR: 0.100000
Training Epoch: 6 [2560/46250]	Loss: 0.5317	LR: 0.100000
Training Epoch: 6 [2816/46250]	Loss: 0.6685	LR: 0.100000
Training Epoch: 6 [3072/46250]	Loss: 0.6952	LR: 0.100000
Training Epoch: 6 [3328/46250]	Loss: 0.6457	LR: 0.100000
Training Epoch: 6 [3584/46250]	Loss: 0.6616	LR: 0.100000
Training Epoch: 6 [3840/46250]	Loss: 0.6172	LR: 0.100000
Training Epoch: 6 [4096/46250]	Loss: 0.6987	LR: 0.100000
Training Epoch: 6 [4352/46250]	Loss: 0.7199	LR: 0.100000
Training Epoch: 6 [4608/46250]	Loss: 0.6549	LR: 0.100000
Training Epoch: 6 [4864/46250]	Loss: 0.6233	LR: 0.100000
Training Epoch: 6 [5120/46250]	Loss: 0.6816	LR: 0.100000
Training Epoch: 6 [5376/46250]	Loss: 0.7356	LR: 0.100000
Training Epoch: 6 [5632/46250]	Loss: 0.6408	LR: 0.100000
Training Epoch: 6 [5888/46250]	Loss: 0.6903	LR: 0.100000
Training Epoch: 6 [6144/46250]	Loss: 0.6807	LR: 0.100000
Training Epoch: 6 [6400/46250]	Loss: 0.8592	LR: 0.100000
Training Epoch: 6 [6656/46250]	Loss: 0.5877	LR: 0.100000
Training Epoch: 6 [6912/46250]	Loss: 0.7402	LR: 0.100000
Training Epoch: 6 [7168/46250]	Loss: 0.6635	LR: 0.100000
Training Epoch: 6 [7424/46250]	Loss: 0.7214	LR: 0.100000
Training Epoch: 6 [7680/46250]	Loss: 0.7710	LR: 0.100000
Training Epoch: 6 [7936/46250]	Loss: 0.6677	LR: 0.100000
Training Epoch: 6 [8192/46250]	Loss: 0.6984	LR: 0.100000
Training Epoch: 6 [8448/46250]	Loss: 0.7253	LR: 0.100000
Training Epoch: 6 [8704/46250]	Loss: 0.6307	LR: 0.100000
Training Epoch: 6 [8960/46250]	Loss: 0.6740	LR: 0.100000
Training Epoch: 6 [9216/46250]	Loss: 0.5890	LR: 0.100000
Training Epoch: 6 [9472/46250]	Loss: 0.6921	LR: 0.100000
Training Epoch: 6 [9728/46250]	Loss: 0.6438	LR: 0.100000
Training Epoch: 6 [9984/46250]	Loss: 0.6905	LR: 0.100000
Training Epoch: 6 [10240/46250]	Loss: 0.8345	LR: 0.100000
Training Epoch: 6 [10496/46250]	Loss: 0.5955	LR: 0.100000
Training Epoch: 6 [10752/46250]	Loss: 0.5661	LR: 0.100000
Training Epoch: 6 [11008/46250]	Loss: 0.7267	LR: 0.100000
Training Epoch: 6 [11264/46250]	Loss: 0.5617	LR: 0.100000
Training Epoch: 6 [11520/46250]	Loss: 0.6890	LR: 0.100000
Training Epoch: 6 [11776/46250]	Loss: 0.8222	LR: 0.100000
Training Epoch: 6 [12032/46250]	Loss: 0.6472	LR: 0.100000
Training Epoch: 6 [12288/46250]	Loss: 0.6217	LR: 0.100000
Training Epoch: 6 [12544/46250]	Loss: 0.7645	LR: 0.100000
Training Epoch: 6 [12800/46250]	Loss: 0.6394	LR: 0.100000
Training Epoch: 6 [13056/46250]	Loss: 0.7410	LR: 0.100000
Training Epoch: 6 [13312/46250]	Loss: 0.6933	LR: 0.100000
Training Epoch: 6 [13568/46250]	Loss: 0.6766	LR: 0.100000
Training Epoch: 6 [13824/46250]	Loss: 0.6936	LR: 0.100000
Training Epoch: 6 [14080/46250]	Loss: 0.6695	LR: 0.100000
Training Epoch: 6 [14336/46250]	Loss: 0.6909	LR: 0.100000
Training Epoch: 6 [14592/46250]	Loss: 0.7956	LR: 0.100000
Training Epoch: 6 [14848/46250]	Loss: 0.7454	LR: 0.100000
Training Epoch: 6 [15104/46250]	Loss: 0.7101	LR: 0.100000
Training Epoch: 6 [15360/46250]	Loss: 0.7533	LR: 0.100000
Training Epoch: 6 [15616/46250]	Loss: 0.6960	LR: 0.100000
Training Epoch: 6 [15872/46250]	Loss: 0.7475	LR: 0.100000
Training Epoch: 6 [16128/46250]	Loss: 0.7045	LR: 0.100000
Training Epoch: 6 [16384/46250]	Loss: 0.6731	LR: 0.100000
Training Epoch: 6 [16640/46250]	Loss: 0.7318	LR: 0.100000
Training Epoch: 6 [16896/46250]	Loss: 0.5959	LR: 0.100000
Training Epoch: 6 [17152/46250]	Loss: 0.6479	LR: 0.100000
Training Epoch: 6 [17408/46250]	Loss: 0.5903	LR: 0.100000
Training Epoch: 6 [17664/46250]	Loss: 0.6284	LR: 0.100000
Training Epoch: 6 [17920/46250]	Loss: 0.7138	LR: 0.100000
Training Epoch: 6 [18176/46250]	Loss: 0.7568	LR: 0.100000
Training Epoch: 6 [18432/46250]	Loss: 0.6421	LR: 0.100000
Training Epoch: 6 [18688/46250]	Loss: 0.7145	LR: 0.100000
Training Epoch: 6 [18944/46250]	Loss: 0.6566	LR: 0.100000
Training Epoch: 6 [19200/46250]	Loss: 0.6181	LR: 0.100000
Training Epoch: 6 [19456/46250]	Loss: 0.6069	LR: 0.100000
Training Epoch: 6 [19712/46250]	Loss: 0.6742	LR: 0.100000
Training Epoch: 6 [19968/46250]	Loss: 0.6678	LR: 0.100000
Training Epoch: 6 [20224/46250]	Loss: 0.6517	LR: 0.100000
Training Epoch: 6 [20480/46250]	Loss: 0.5824	LR: 0.100000
Training Epoch: 6 [20736/46250]	Loss: 0.6501	LR: 0.100000
Training Epoch: 6 [20992/46250]	Loss: 0.5401	LR: 0.100000
Training Epoch: 6 [21248/46250]	Loss: 0.5529	LR: 0.100000
Training Epoch: 6 [21504/46250]	Loss: 0.5963	LR: 0.100000
Training Epoch: 6 [21760/46250]	Loss: 0.7129	LR: 0.100000
Training Epoch: 6 [22016/46250]	Loss: 0.7049	LR: 0.100000
Training Epoch: 6 [22272/46250]	Loss: 0.6948	LR: 0.100000
Training Epoch: 6 [22528/46250]	Loss: 0.6734	LR: 0.100000
Training Epoch: 6 [22784/46250]	Loss: 0.6605	LR: 0.100000
Training Epoch: 6 [23040/46250]	Loss: 0.5225	LR: 0.100000
Training Epoch: 6 [23296/46250]	Loss: 0.6463	LR: 0.100000
Training Epoch: 6 [23552/46250]	Loss: 0.6333	LR: 0.100000
Training Epoch: 6 [23808/46250]	Loss: 0.6725	LR: 0.100000
Training Epoch: 6 [24064/46250]	Loss: 0.5923	LR: 0.100000
Training Epoch: 6 [24320/46250]	Loss: 0.7005	LR: 0.100000
Training Epoch: 6 [24576/46250]	Loss: 0.6243	LR: 0.100000
Training Epoch: 6 [24832/46250]	Loss: 0.7445	LR: 0.100000
Training Epoch: 6 [25088/46250]	Loss: 0.6698	LR: 0.100000
Training Epoch: 6 [25344/46250]	Loss: 0.6675	LR: 0.100000
Training Epoch: 6 [25600/46250]	Loss: 0.5651	LR: 0.100000
Training Epoch: 6 [25856/46250]	Loss: 0.7206	LR: 0.100000
Training Epoch: 6 [26112/46250]	Loss: 0.7334	LR: 0.100000
Training Epoch: 6 [26368/46250]	Loss: 0.5887	LR: 0.100000
Training Epoch: 6 [26624/46250]	Loss: 0.6907	LR: 0.100000
Training Epoch: 6 [26880/46250]	Loss: 0.7139	LR: 0.100000
Training Epoch: 6 [27136/46250]	Loss: 0.6346	LR: 0.100000
Training Epoch: 6 [27392/46250]	Loss: 0.5957	LR: 0.100000
Training Epoch: 6 [27648/46250]	Loss: 0.6272	LR: 0.100000
Training Epoch: 6 [27904/46250]	Loss: 0.6300	LR: 0.100000
Training Epoch: 6 [28160/46250]	Loss: 0.6688	LR: 0.100000
Training Epoch: 6 [28416/46250]	Loss: 0.6365	LR: 0.100000
Training Epoch: 6 [28672/46250]	Loss: 0.6262	LR: 0.100000
Training Epoch: 6 [28928/46250]	Loss: 0.6539	LR: 0.100000
Training Epoch: 6 [29184/46250]	Loss: 0.5721	LR: 0.100000
Training Epoch: 6 [29440/46250]	Loss: 0.6490	LR: 0.100000
Training Epoch: 6 [29696/46250]	Loss: 0.7470	LR: 0.100000
Training Epoch: 6 [29952/46250]	Loss: 0.5912	LR: 0.100000
Training Epoch: 6 [30208/46250]	Loss: 0.6382	LR: 0.100000
Training Epoch: 6 [30464/46250]	Loss: 0.6325	LR: 0.100000
Training Epoch: 6 [30720/46250]	Loss: 0.7333	LR: 0.100000
Training Epoch: 6 [30976/46250]	Loss: 0.5755	LR: 0.100000
Training Epoch: 6 [31232/46250]	Loss: 0.5476	LR: 0.100000
Training Epoch: 6 [31488/46250]	Loss: 0.6042	LR: 0.100000
Training Epoch: 6 [31744/46250]	Loss: 0.6468	LR: 0.100000
Training Epoch: 6 [32000/46250]	Loss: 0.7377	LR: 0.100000
Training Epoch: 6 [32256/46250]	Loss: 0.7227	LR: 0.100000
Training Epoch: 6 [32512/46250]	Loss: 0.5492	LR: 0.100000
Training Epoch: 6 [32768/46250]	Loss: 0.6222	LR: 0.100000
Training Epoch: 6 [33024/46250]	Loss: 0.6446	LR: 0.100000
Training Epoch: 6 [33280/46250]	Loss: 0.6294	LR: 0.100000
Training Epoch: 6 [33536/46250]	Loss: 0.7511	LR: 0.100000
Training Epoch: 6 [33792/46250]	Loss: 0.6101	LR: 0.100000
Training Epoch: 6 [34048/46250]	Loss: 0.5828	LR: 0.100000
Training Epoch: 6 [34304/46250]	Loss: 0.7652	LR: 0.100000
Training Epoch: 6 [34560/46250]	Loss: 0.6836	LR: 0.100000
Training Epoch: 6 [34816/46250]	Loss: 0.7112	LR: 0.100000
Training Epoch: 6 [35072/46250]	Loss: 0.7481	LR: 0.100000
Training Epoch: 6 [35328/46250]	Loss: 0.6745	LR: 0.100000
Training Epoch: 6 [35584/46250]	Loss: 0.6722	LR: 0.100000
Training Epoch: 6 [35840/46250]	Loss: 0.6403	LR: 0.100000
Training Epoch: 6 [36096/46250]	Loss: 0.5315	LR: 0.100000
Training Epoch: 6 [36352/46250]	Loss: 0.6467	LR: 0.100000
Training Epoch: 6 [36608/46250]	Loss: 0.5380	LR: 0.100000
Training Epoch: 6 [36864/46250]	Loss: 0.6790	LR: 0.100000
Training Epoch: 6 [37120/46250]	Loss: 0.7018	LR: 0.100000
Training Epoch: 6 [37376/46250]	Loss: 0.6650	LR: 0.100000
Training Epoch: 6 [37632/46250]	Loss: 0.7294	LR: 0.100000
Training Epoch: 6 [37888/46250]	Loss: 0.6150	LR: 0.100000
Training Epoch: 6 [38144/46250]	Loss: 0.7184	LR: 0.100000
Training Epoch: 6 [38400/46250]	Loss: 0.7101	LR: 0.100000
Training Epoch: 6 [38656/46250]	Loss: 0.5860	LR: 0.100000
Training Epoch: 6 [38912/46250]	Loss: 0.7019	LR: 0.100000
Training Epoch: 6 [39168/46250]	Loss: 0.6548	LR: 0.100000
Training Epoch: 6 [39424/46250]	Loss: 0.6431	LR: 0.100000
Training Epoch: 6 [39680/46250]	Loss: 0.5060	LR: 0.100000
Training Epoch: 6 [39936/46250]	Loss: 0.6941	LR: 0.100000
Training Epoch: 6 [40192/46250]	Loss: 0.7667	LR: 0.100000
Training Epoch: 6 [40448/46250]	Loss: 0.6385	LR: 0.100000
Training Epoch: 6 [40704/46250]	Loss: 0.7925	LR: 0.100000
Training Epoch: 6 [40960/46250]	Loss: 0.5870	LR: 0.100000
Training Epoch: 6 [41216/46250]	Loss: 0.6754	LR: 0.100000
Training Epoch: 6 [41472/46250]	Loss: 0.5019	LR: 0.100000
Training Epoch: 6 [41728/46250]	Loss: 0.6247	LR: 0.100000
Training Epoch: 6 [41984/46250]	Loss: 0.6058	LR: 0.100000
Training Epoch: 6 [42240/46250]	Loss: 0.6527	LR: 0.100000
Training Epoch: 6 [42496/46250]	Loss: 0.6501	LR: 0.100000
Training Epoch: 6 [42752/46250]	Loss: 0.5561	LR: 0.100000
Training Epoch: 6 [43008/46250]	Loss: 0.5501	LR: 0.100000
Training Epoch: 6 [43264/46250]	Loss: 0.7330	LR: 0.100000
Training Epoch: 6 [43520/46250]	Loss: 0.5603	LR: 0.100000
Training Epoch: 6 [43776/46250]	Loss: 0.6472	LR: 0.100000
Training Epoch: 6 [44032/46250]	Loss: 0.5239	LR: 0.100000
Training Epoch: 6 [44288/46250]	Loss: 0.5103	LR: 0.100000
Training Epoch: 6 [44544/46250]	Loss: 0.5776	LR: 0.100000
Training Epoch: 6 [44800/46250]	Loss: 0.6023	LR: 0.100000
Training Epoch: 6 [45056/46250]	Loss: 0.7066	LR: 0.100000
Training Epoch: 6 [45312/46250]	Loss: 0.6240	LR: 0.100000
Training Epoch: 6 [45568/46250]	Loss: 0.5491	LR: 0.100000
Training Epoch: 6 [45824/46250]	Loss: 0.6441	LR: 0.100000
Training Epoch: 6 [46080/46250]	Loss: 0.4951	LR: 0.100000
Training Epoch: 6 [46250/46250]	Loss: 0.6302	LR: 0.100000
Epoch 6 - Average Train Loss: 0.6588, Train Accuracy: 0.7695
Epoch 6 training time consumed: 28.13s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0027, Accuracy: 0.7718, Time consumed:0.98s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_07h_44m_59s/ResNet18-Cifar10-seed6-ret25-6-best.pth
Training Epoch: 7 [256/46250]	Loss: 0.5822	LR: 0.100000
Training Epoch: 7 [512/46250]	Loss: 0.6622	LR: 0.100000
Training Epoch: 7 [768/46250]	Loss: 0.6202	LR: 0.100000
Training Epoch: 7 [1024/46250]	Loss: 0.6127	LR: 0.100000
Training Epoch: 7 [1280/46250]	Loss: 0.5407	LR: 0.100000
Training Epoch: 7 [1536/46250]	Loss: 0.7044	LR: 0.100000
Training Epoch: 7 [1792/46250]	Loss: 0.6595	LR: 0.100000
Training Epoch: 7 [2048/46250]	Loss: 0.5946	LR: 0.100000
Training Epoch: 7 [2304/46250]	Loss: 0.6356	LR: 0.100000
Training Epoch: 7 [2560/46250]	Loss: 0.5627	LR: 0.100000
Training Epoch: 7 [2816/46250]	Loss: 0.6520	LR: 0.100000
Training Epoch: 7 [3072/46250]	Loss: 0.7713	LR: 0.100000
Training Epoch: 7 [3328/46250]	Loss: 0.5847	LR: 0.100000
Training Epoch: 7 [3584/46250]	Loss: 0.5806	LR: 0.100000
Training Epoch: 7 [3840/46250]	Loss: 0.7059	LR: 0.100000
Training Epoch: 7 [4096/46250]	Loss: 0.5600	LR: 0.100000
Training Epoch: 7 [4352/46250]	Loss: 0.5666	LR: 0.100000
Training Epoch: 7 [4608/46250]	Loss: 0.5514	LR: 0.100000
Training Epoch: 7 [4864/46250]	Loss: 0.6757	LR: 0.100000
Training Epoch: 7 [5120/46250]	Loss: 0.5897	LR: 0.100000
Training Epoch: 7 [5376/46250]	Loss: 0.6041	LR: 0.100000
Training Epoch: 7 [5632/46250]	Loss: 0.6151	LR: 0.100000
Training Epoch: 7 [5888/46250]	Loss: 0.6021	LR: 0.100000
Training Epoch: 7 [6144/46250]	Loss: 0.5682	LR: 0.100000
Training Epoch: 7 [6400/46250]	Loss: 0.5611	LR: 0.100000
Training Epoch: 7 [6656/46250]	Loss: 0.5894	LR: 0.100000
Training Epoch: 7 [6912/46250]	Loss: 0.6530	LR: 0.100000
Training Epoch: 7 [7168/46250]	Loss: 0.5421	LR: 0.100000
Training Epoch: 7 [7424/46250]	Loss: 0.6761	LR: 0.100000
Training Epoch: 7 [7680/46250]	Loss: 0.5850	LR: 0.100000
Training Epoch: 7 [7936/46250]	Loss: 0.6774	LR: 0.100000
Training Epoch: 7 [8192/46250]	Loss: 0.6739	LR: 0.100000
Training Epoch: 7 [8448/46250]	Loss: 0.7234	LR: 0.100000
Training Epoch: 7 [8704/46250]	Loss: 0.6289	LR: 0.100000
Training Epoch: 7 [8960/46250]	Loss: 0.6431	LR: 0.100000
Training Epoch: 7 [9216/46250]	Loss: 0.6235	LR: 0.100000
Training Epoch: 7 [9472/46250]	Loss: 0.5688	LR: 0.100000
Training Epoch: 7 [9728/46250]	Loss: 0.5767	LR: 0.100000
Training Epoch: 7 [9984/46250]	Loss: 0.5386	LR: 0.100000
Training Epoch: 7 [10240/46250]	Loss: 0.6299	LR: 0.100000
Training Epoch: 7 [10496/46250]	Loss: 0.6482	LR: 0.100000
Training Epoch: 7 [10752/46250]	Loss: 0.8311	LR: 0.100000
Training Epoch: 7 [11008/46250]	Loss: 0.5748	LR: 0.100000
Training Epoch: 7 [11264/46250]	Loss: 0.6377	LR: 0.100000
Training Epoch: 7 [11520/46250]	Loss: 0.5745	LR: 0.100000
Training Epoch: 7 [11776/46250]	Loss: 0.7439	LR: 0.100000
Training Epoch: 7 [12032/46250]	Loss: 0.5402	LR: 0.100000
Training Epoch: 7 [12288/46250]	Loss: 0.6066	LR: 0.100000
Training Epoch: 7 [12544/46250]	Loss: 0.8140	LR: 0.100000
Training Epoch: 7 [12800/46250]	Loss: 0.5024	LR: 0.100000
Training Epoch: 7 [13056/46250]	Loss: 0.5613	LR: 0.100000
Training Epoch: 7 [13312/46250]	Loss: 0.6657	LR: 0.100000
Training Epoch: 7 [13568/46250]	Loss: 0.6481	LR: 0.100000
Training Epoch: 7 [13824/46250]	Loss: 0.6095	LR: 0.100000
Training Epoch: 7 [14080/46250]	Loss: 0.6464	LR: 0.100000
Training Epoch: 7 [14336/46250]	Loss: 0.5690	LR: 0.100000
Training Epoch: 7 [14592/46250]	Loss: 0.7338	LR: 0.100000
Training Epoch: 7 [14848/46250]	Loss: 0.6776	LR: 0.100000
Training Epoch: 7 [15104/46250]	Loss: 0.7112	LR: 0.100000
Training Epoch: 7 [15360/46250]	Loss: 0.6143	LR: 0.100000
Training Epoch: 7 [15616/46250]	Loss: 0.5599	LR: 0.100000
Training Epoch: 7 [15872/46250]	Loss: 0.5740	LR: 0.100000
Training Epoch: 7 [16128/46250]	Loss: 0.6998	LR: 0.100000
Training Epoch: 7 [16384/46250]	Loss: 0.5706	LR: 0.100000
Training Epoch: 7 [16640/46250]	Loss: 0.6368	LR: 0.100000
Training Epoch: 7 [16896/46250]	Loss: 0.5316	LR: 0.100000
Training Epoch: 7 [17152/46250]	Loss: 0.6302	LR: 0.100000
Training Epoch: 7 [17408/46250]	Loss: 0.5412	LR: 0.100000
Training Epoch: 7 [17664/46250]	Loss: 0.6027	LR: 0.100000
Training Epoch: 7 [17920/46250]	Loss: 0.6010	LR: 0.100000
Training Epoch: 7 [18176/46250]	Loss: 0.5356	LR: 0.100000
Training Epoch: 7 [18432/46250]	Loss: 0.6145	LR: 0.100000
Training Epoch: 7 [18688/46250]	Loss: 0.5676	LR: 0.100000
Training Epoch: 7 [18944/46250]	Loss: 0.5796	LR: 0.100000
Training Epoch: 7 [19200/46250]	Loss: 0.5373	LR: 0.100000
Training Epoch: 7 [19456/46250]	Loss: 0.6838	LR: 0.100000
Training Epoch: 7 [19712/46250]	Loss: 0.6140	LR: 0.100000
Training Epoch: 7 [19968/46250]	Loss: 0.4914	LR: 0.100000
Training Epoch: 7 [20224/46250]	Loss: 0.6719	LR: 0.100000
Training Epoch: 7 [20480/46250]	Loss: 0.5847	LR: 0.100000
Training Epoch: 7 [20736/46250]	Loss: 0.6323	LR: 0.100000
Training Epoch: 7 [20992/46250]	Loss: 0.6216	LR: 0.100000
Training Epoch: 7 [21248/46250]	Loss: 0.6000	LR: 0.100000
Training Epoch: 7 [21504/46250]	Loss: 0.6320	LR: 0.100000
Training Epoch: 7 [21760/46250]	Loss: 0.6653	LR: 0.100000
Training Epoch: 7 [22016/46250]	Loss: 0.6120	LR: 0.100000
Training Epoch: 7 [22272/46250]	Loss: 0.6281	LR: 0.100000
Training Epoch: 7 [22528/46250]	Loss: 0.5638	LR: 0.100000
Training Epoch: 7 [22784/46250]	Loss: 0.5083	LR: 0.100000
Training Epoch: 7 [23040/46250]	Loss: 0.5575	LR: 0.100000
Training Epoch: 7 [23296/46250]	Loss: 0.5919	LR: 0.100000
Training Epoch: 7 [23552/46250]	Loss: 0.6401	LR: 0.100000
Training Epoch: 7 [23808/46250]	Loss: 0.7764	LR: 0.100000
Training Epoch: 7 [24064/46250]	Loss: 0.6149	LR: 0.100000
Training Epoch: 7 [24320/46250]	Loss: 0.6259	LR: 0.100000
Training Epoch: 7 [24576/46250]	Loss: 0.5780	LR: 0.100000
Training Epoch: 7 [24832/46250]	Loss: 0.6537	LR: 0.100000
Training Epoch: 7 [25088/46250]	Loss: 0.5958	LR: 0.100000
Training Epoch: 7 [25344/46250]	Loss: 0.6373	LR: 0.100000
Training Epoch: 7 [25600/46250]	Loss: 0.5603	LR: 0.100000
Training Epoch: 7 [25856/46250]	Loss: 0.6485	LR: 0.100000
Training Epoch: 7 [26112/46250]	Loss: 0.5622	LR: 0.100000
Training Epoch: 7 [26368/46250]	Loss: 0.6223	LR: 0.100000
Training Epoch: 7 [26624/46250]	Loss: 0.5480	LR: 0.100000
Training Epoch: 7 [26880/46250]	Loss: 0.6816	LR: 0.100000
Training Epoch: 7 [27136/46250]	Loss: 0.6231	LR: 0.100000
Training Epoch: 7 [27392/46250]	Loss: 0.5668	LR: 0.100000
Training Epoch: 7 [27648/46250]	Loss: 0.6646	LR: 0.100000
Training Epoch: 7 [27904/46250]	Loss: 0.6182	LR: 0.100000
Training Epoch: 7 [28160/46250]	Loss: 0.5118	LR: 0.100000
Training Epoch: 7 [28416/46250]	Loss: 0.6039	LR: 0.100000
Training Epoch: 7 [28672/46250]	Loss: 0.5171	LR: 0.100000
Training Epoch: 7 [28928/46250]	Loss: 0.5801	LR: 0.100000
Training Epoch: 7 [29184/46250]	Loss: 0.5998	LR: 0.100000
Training Epoch: 7 [29440/46250]	Loss: 0.6423	LR: 0.100000
Training Epoch: 7 [29696/46250]	Loss: 0.7318	LR: 0.100000
Training Epoch: 7 [29952/46250]	Loss: 0.6321	LR: 0.100000
Training Epoch: 7 [30208/46250]	Loss: 0.6241	LR: 0.100000
Training Epoch: 7 [30464/46250]	Loss: 0.5213	LR: 0.100000
Training Epoch: 7 [30720/46250]	Loss: 0.5807	LR: 0.100000
Training Epoch: 7 [30976/46250]	Loss: 0.6036	LR: 0.100000
Training Epoch: 7 [31232/46250]	Loss: 0.6699	LR: 0.100000
Training Epoch: 7 [31488/46250]	Loss: 0.5011	LR: 0.100000
Training Epoch: 7 [31744/46250]	Loss: 0.5421	LR: 0.100000
Training Epoch: 7 [32000/46250]	Loss: 0.6048	LR: 0.100000
Training Epoch: 7 [32256/46250]	Loss: 0.6063	LR: 0.100000
Training Epoch: 7 [32512/46250]	Loss: 0.6054	LR: 0.100000
Training Epoch: 7 [32768/46250]	Loss: 0.6562	LR: 0.100000
Training Epoch: 7 [33024/46250]	Loss: 0.7261	LR: 0.100000
Training Epoch: 7 [33280/46250]	Loss: 0.5569	LR: 0.100000
Training Epoch: 7 [33536/46250]	Loss: 0.5803	LR: 0.100000
Training Epoch: 7 [33792/46250]	Loss: 0.5776	LR: 0.100000
Training Epoch: 7 [34048/46250]	Loss: 0.6096	LR: 0.100000
Training Epoch: 7 [34304/46250]	Loss: 0.5454	LR: 0.100000
Training Epoch: 7 [34560/46250]	Loss: 0.6152	LR: 0.100000
Training Epoch: 7 [34816/46250]	Loss: 0.6272	LR: 0.100000
Training Epoch: 7 [35072/46250]	Loss: 0.5697	LR: 0.100000
Training Epoch: 7 [35328/46250]	Loss: 0.6494	LR: 0.100000
Training Epoch: 7 [35584/46250]	Loss: 0.6765	LR: 0.100000
Training Epoch: 7 [35840/46250]	Loss: 0.6194	LR: 0.100000
Training Epoch: 7 [36096/46250]	Loss: 0.6597	LR: 0.100000
Training Epoch: 7 [36352/46250]	Loss: 0.4500	LR: 0.100000
Training Epoch: 7 [36608/46250]	Loss: 0.6085	LR: 0.100000
Training Epoch: 7 [36864/46250]	Loss: 0.5764	LR: 0.100000
Training Epoch: 7 [37120/46250]	Loss: 0.6106	LR: 0.100000
Training Epoch: 7 [37376/46250]	Loss: 0.5681	LR: 0.100000
Training Epoch: 7 [37632/46250]	Loss: 0.5697	LR: 0.100000
Training Epoch: 7 [37888/46250]	Loss: 0.5210	LR: 0.100000
Training Epoch: 7 [38144/46250]	Loss: 0.6041	LR: 0.100000
Training Epoch: 7 [38400/46250]	Loss: 0.6758	LR: 0.100000
Training Epoch: 7 [38656/46250]	Loss: 0.5346	LR: 0.100000
Training Epoch: 7 [38912/46250]	Loss: 0.4949	LR: 0.100000
Training Epoch: 7 [39168/46250]	Loss: 0.6400	LR: 0.100000
Training Epoch: 7 [39424/46250]	Loss: 0.5747	LR: 0.100000
Training Epoch: 7 [39680/46250]	Loss: 0.5281	LR: 0.100000
Training Epoch: 7 [39936/46250]	Loss: 0.6008	LR: 0.100000
Training Epoch: 7 [40192/46250]	Loss: 0.5393	LR: 0.100000
Training Epoch: 7 [40448/46250]	Loss: 0.5532	LR: 0.100000
Training Epoch: 7 [40704/46250]	Loss: 0.5161	LR: 0.100000
Training Epoch: 7 [40960/46250]	Loss: 0.5200	LR: 0.100000
Training Epoch: 7 [41216/46250]	Loss: 0.6354	LR: 0.100000
Training Epoch: 7 [41472/46250]	Loss: 0.5929	LR: 0.100000
Training Epoch: 7 [41728/46250]	Loss: 0.6541	LR: 0.100000
Training Epoch: 7 [41984/46250]	Loss: 0.5582	LR: 0.100000
Training Epoch: 7 [42240/46250]	Loss: 0.5531	LR: 0.100000
Training Epoch: 7 [42496/46250]	Loss: 0.6004	LR: 0.100000
Training Epoch: 7 [42752/46250]	Loss: 0.6035	LR: 0.100000
Training Epoch: 7 [43008/46250]	Loss: 0.6737	LR: 0.100000
Training Epoch: 7 [43264/46250]	Loss: 0.5768	LR: 0.100000
Training Epoch: 7 [43520/46250]	Loss: 0.5564	LR: 0.100000
Training Epoch: 7 [43776/46250]	Loss: 0.5544	LR: 0.100000
Training Epoch: 7 [44032/46250]	Loss: 0.4967	LR: 0.100000
Training Epoch: 7 [44288/46250]	Loss: 0.6166	LR: 0.100000
Training Epoch: 7 [44544/46250]	Loss: 0.5316	LR: 0.100000
Training Epoch: 7 [44800/46250]	Loss: 0.5028	LR: 0.100000
Training Epoch: 7 [45056/46250]	Loss: 0.6010	LR: 0.100000
Training Epoch: 7 [45312/46250]	Loss: 0.5119	LR: 0.100000
Training Epoch: 7 [45568/46250]	Loss: 0.5275	LR: 0.100000
Training Epoch: 7 [45824/46250]	Loss: 0.5454	LR: 0.100000
Training Epoch: 7 [46080/46250]	Loss: 0.5676	LR: 0.100000
Training Epoch: 7 [46250/46250]	Loss: 0.6179	LR: 0.100000
Epoch 7 - Average Train Loss: 0.6042, Train Accuracy: 0.7893
Epoch 7 training time consumed: 28.10s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0023, Accuracy: 0.8018, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_07h_44m_59s/ResNet18-Cifar10-seed6-ret25-7-best.pth
Training Epoch: 8 [256/46250]	Loss: 0.4296	LR: 0.020000
Training Epoch: 8 [512/46250]	Loss: 0.4503	LR: 0.020000
Training Epoch: 8 [768/46250]	Loss: 0.5752	LR: 0.020000
Training Epoch: 8 [1024/46250]	Loss: 0.5952	LR: 0.020000
Training Epoch: 8 [1280/46250]	Loss: 0.5943	LR: 0.020000
Training Epoch: 8 [1536/46250]	Loss: 0.4958	LR: 0.020000
Training Epoch: 8 [1792/46250]	Loss: 0.6033	LR: 0.020000
Training Epoch: 8 [2048/46250]	Loss: 0.5321	LR: 0.020000
Training Epoch: 8 [2304/46250]	Loss: 0.5545	LR: 0.020000
Training Epoch: 8 [2560/46250]	Loss: 0.5215	LR: 0.020000
Training Epoch: 8 [2816/46250]	Loss: 0.4415	LR: 0.020000
Training Epoch: 8 [3072/46250]	Loss: 0.5940	LR: 0.020000
Training Epoch: 8 [3328/46250]	Loss: 0.5079	LR: 0.020000
Training Epoch: 8 [3584/46250]	Loss: 0.5960	LR: 0.020000
Training Epoch: 8 [3840/46250]	Loss: 0.4151	LR: 0.020000
Training Epoch: 8 [4096/46250]	Loss: 0.5674	LR: 0.020000
Training Epoch: 8 [4352/46250]	Loss: 0.5030	LR: 0.020000
Training Epoch: 8 [4608/46250]	Loss: 0.4410	LR: 0.020000
Training Epoch: 8 [4864/46250]	Loss: 0.5302	LR: 0.020000
Training Epoch: 8 [5120/46250]	Loss: 0.5192	LR: 0.020000
Training Epoch: 8 [5376/46250]	Loss: 0.5231	LR: 0.020000
Training Epoch: 8 [5632/46250]	Loss: 0.4509	LR: 0.020000
Training Epoch: 8 [5888/46250]	Loss: 0.6660	LR: 0.020000
Training Epoch: 8 [6144/46250]	Loss: 0.5303	LR: 0.020000
Training Epoch: 8 [6400/46250]	Loss: 0.4774	LR: 0.020000
Training Epoch: 8 [6656/46250]	Loss: 0.4393	LR: 0.020000
Training Epoch: 8 [6912/46250]	Loss: 0.5201	LR: 0.020000
Training Epoch: 8 [7168/46250]	Loss: 0.4632	LR: 0.020000
Training Epoch: 8 [7424/46250]	Loss: 0.5082	LR: 0.020000
Training Epoch: 8 [7680/46250]	Loss: 0.5153	LR: 0.020000
Training Epoch: 8 [7936/46250]	Loss: 0.4209	LR: 0.020000
Training Epoch: 8 [8192/46250]	Loss: 0.4429	LR: 0.020000
Training Epoch: 8 [8448/46250]	Loss: 0.5982	LR: 0.020000
Training Epoch: 8 [8704/46250]	Loss: 0.4442	LR: 0.020000
Training Epoch: 8 [8960/46250]	Loss: 0.4533	LR: 0.020000
Training Epoch: 8 [9216/46250]	Loss: 0.5243	LR: 0.020000
Training Epoch: 8 [9472/46250]	Loss: 0.4572	LR: 0.020000
Training Epoch: 8 [9728/46250]	Loss: 0.5347	LR: 0.020000
Training Epoch: 8 [9984/46250]	Loss: 0.4695	LR: 0.020000
Training Epoch: 8 [10240/46250]	Loss: 0.4678	LR: 0.020000
Training Epoch: 8 [10496/46250]	Loss: 0.5312	LR: 0.020000
Training Epoch: 8 [10752/46250]	Loss: 0.4649	LR: 0.020000
Training Epoch: 8 [11008/46250]	Loss: 0.4260	LR: 0.020000
Training Epoch: 8 [11264/46250]	Loss: 0.4204	LR: 0.020000
Training Epoch: 8 [11520/46250]	Loss: 0.4531	LR: 0.020000
Training Epoch: 8 [11776/46250]	Loss: 0.4293	LR: 0.020000
Training Epoch: 8 [12032/46250]	Loss: 0.3852	LR: 0.020000
Training Epoch: 8 [12288/46250]	Loss: 0.3756	LR: 0.020000
Training Epoch: 8 [12544/46250]	Loss: 0.4457	LR: 0.020000
Training Epoch: 8 [12800/46250]	Loss: 0.4168	LR: 0.020000
Training Epoch: 8 [13056/46250]	Loss: 0.4864	LR: 0.020000
Training Epoch: 8 [13312/46250]	Loss: 0.5949	LR: 0.020000
Training Epoch: 8 [13568/46250]	Loss: 0.4614	LR: 0.020000
Training Epoch: 8 [13824/46250]	Loss: 0.5238	LR: 0.020000
Training Epoch: 8 [14080/46250]	Loss: 0.4288	LR: 0.020000
Training Epoch: 8 [14336/46250]	Loss: 0.4477	LR: 0.020000
Training Epoch: 8 [14592/46250]	Loss: 0.4281	LR: 0.020000
Training Epoch: 8 [14848/46250]	Loss: 0.4680	LR: 0.020000
Training Epoch: 8 [15104/46250]	Loss: 0.4515	LR: 0.020000
Training Epoch: 8 [15360/46250]	Loss: 0.4013	LR: 0.020000
Training Epoch: 8 [15616/46250]	Loss: 0.4126	LR: 0.020000
Training Epoch: 8 [15872/46250]	Loss: 0.4277	LR: 0.020000
Training Epoch: 8 [16128/46250]	Loss: 0.4671	LR: 0.020000
Training Epoch: 8 [16384/46250]	Loss: 0.4469	LR: 0.020000
Training Epoch: 8 [16640/46250]	Loss: 0.4670	LR: 0.020000
Training Epoch: 8 [16896/46250]	Loss: 0.3860	LR: 0.020000
Training Epoch: 8 [17152/46250]	Loss: 0.4198	LR: 0.020000
Training Epoch: 8 [17408/46250]	Loss: 0.4542	LR: 0.020000
Training Epoch: 8 [17664/46250]	Loss: 0.4723	LR: 0.020000
Training Epoch: 8 [17920/46250]	Loss: 0.4442	LR: 0.020000
Training Epoch: 8 [18176/46250]	Loss: 0.4546	LR: 0.020000
Training Epoch: 8 [18432/46250]	Loss: 0.4441	LR: 0.020000
Training Epoch: 8 [18688/46250]	Loss: 0.4857	LR: 0.020000
Training Epoch: 8 [18944/46250]	Loss: 0.3608	LR: 0.020000
Training Epoch: 8 [19200/46250]	Loss: 0.4065	LR: 0.020000
Training Epoch: 8 [19456/46250]	Loss: 0.5046	LR: 0.020000
Training Epoch: 8 [19712/46250]	Loss: 0.5094	LR: 0.020000
Training Epoch: 8 [19968/46250]	Loss: 0.4699	LR: 0.020000
Training Epoch: 8 [20224/46250]	Loss: 0.4497	LR: 0.020000
Training Epoch: 8 [20480/46250]	Loss: 0.5336	LR: 0.020000
Training Epoch: 8 [20736/46250]	Loss: 0.5115	LR: 0.020000
Training Epoch: 8 [20992/46250]	Loss: 0.4405	LR: 0.020000
Training Epoch: 8 [21248/46250]	Loss: 0.4117	LR: 0.020000
Training Epoch: 8 [21504/46250]	Loss: 0.3981	LR: 0.020000
Training Epoch: 8 [21760/46250]	Loss: 0.3993	LR: 0.020000
Training Epoch: 8 [22016/46250]	Loss: 0.4045	LR: 0.020000
Training Epoch: 8 [22272/46250]	Loss: 0.4210	LR: 0.020000
Training Epoch: 8 [22528/46250]	Loss: 0.4850	LR: 0.020000
Training Epoch: 8 [22784/46250]	Loss: 0.4736	LR: 0.020000
Training Epoch: 8 [23040/46250]	Loss: 0.3824	LR: 0.020000
Training Epoch: 8 [23296/46250]	Loss: 0.3826	LR: 0.020000
Training Epoch: 8 [23552/46250]	Loss: 0.4696	LR: 0.020000
Training Epoch: 8 [23808/46250]	Loss: 0.4377	LR: 0.020000
Training Epoch: 8 [24064/46250]	Loss: 0.4541	LR: 0.020000
Training Epoch: 8 [24320/46250]	Loss: 0.4899	LR: 0.020000
Training Epoch: 8 [24576/46250]	Loss: 0.3407	LR: 0.020000
Training Epoch: 8 [24832/46250]	Loss: 0.5030	LR: 0.020000
Training Epoch: 8 [25088/46250]	Loss: 0.4251	LR: 0.020000
Training Epoch: 8 [25344/46250]	Loss: 0.4278	LR: 0.020000
Training Epoch: 8 [25600/46250]	Loss: 0.3988	LR: 0.020000
Training Epoch: 8 [25856/46250]	Loss: 0.4463	LR: 0.020000
Training Epoch: 8 [26112/46250]	Loss: 0.4287	LR: 0.020000
Training Epoch: 8 [26368/46250]	Loss: 0.4046	LR: 0.020000
Training Epoch: 8 [26624/46250]	Loss: 0.4374	LR: 0.020000
Training Epoch: 8 [26880/46250]	Loss: 0.4337	LR: 0.020000
Training Epoch: 8 [27136/46250]	Loss: 0.3885	LR: 0.020000
Training Epoch: 8 [27392/46250]	Loss: 0.4396	LR: 0.020000
Training Epoch: 8 [27648/46250]	Loss: 0.3708	LR: 0.020000
Training Epoch: 8 [27904/46250]	Loss: 0.4419	LR: 0.020000
Training Epoch: 8 [28160/46250]	Loss: 0.4491	LR: 0.020000
Training Epoch: 8 [28416/46250]	Loss: 0.4571	LR: 0.020000
Training Epoch: 8 [28672/46250]	Loss: 0.3734	LR: 0.020000
Training Epoch: 8 [28928/46250]	Loss: 0.4601	LR: 0.020000
Training Epoch: 8 [29184/46250]	Loss: 0.4121	LR: 0.020000
Training Epoch: 8 [29440/46250]	Loss: 0.5392	LR: 0.020000
Training Epoch: 8 [29696/46250]	Loss: 0.4287	LR: 0.020000
Training Epoch: 8 [29952/46250]	Loss: 0.4870	LR: 0.020000
Training Epoch: 8 [30208/46250]	Loss: 0.4237	LR: 0.020000
Training Epoch: 8 [30464/46250]	Loss: 0.4486	LR: 0.020000
Training Epoch: 8 [30720/46250]	Loss: 0.4683	LR: 0.020000
Training Epoch: 8 [30976/46250]	Loss: 0.3370	LR: 0.020000
Training Epoch: 8 [31232/46250]	Loss: 0.5278	LR: 0.020000
Training Epoch: 8 [31488/46250]	Loss: 0.3990	LR: 0.020000
Training Epoch: 8 [31744/46250]	Loss: 0.4548	LR: 0.020000
Training Epoch: 8 [32000/46250]	Loss: 0.4732	LR: 0.020000
Training Epoch: 8 [32256/46250]	Loss: 0.4383	LR: 0.020000
Training Epoch: 8 [32512/46250]	Loss: 0.3677	LR: 0.020000
Training Epoch: 8 [32768/46250]	Loss: 0.4541	LR: 0.020000
Training Epoch: 8 [33024/46250]	Loss: 0.4405	LR: 0.020000
Training Epoch: 8 [33280/46250]	Loss: 0.4146	LR: 0.020000
Training Epoch: 8 [33536/46250]	Loss: 0.3657	LR: 0.020000
Training Epoch: 8 [33792/46250]	Loss: 0.3958	LR: 0.020000
Training Epoch: 8 [34048/46250]	Loss: 0.3880	LR: 0.020000
Training Epoch: 8 [34304/46250]	Loss: 0.5111	LR: 0.020000
Training Epoch: 8 [34560/46250]	Loss: 0.4031	LR: 0.020000
Training Epoch: 8 [34816/46250]	Loss: 0.5664	LR: 0.020000
Training Epoch: 8 [35072/46250]	Loss: 0.3748	LR: 0.020000
Training Epoch: 8 [35328/46250]	Loss: 0.4518	LR: 0.020000
Training Epoch: 8 [35584/46250]	Loss: 0.4400	LR: 0.020000
Training Epoch: 8 [35840/46250]	Loss: 0.3860	LR: 0.020000
Training Epoch: 8 [36096/46250]	Loss: 0.4917	LR: 0.020000
Training Epoch: 8 [36352/46250]	Loss: 0.5223	LR: 0.020000
Training Epoch: 8 [36608/46250]	Loss: 0.4248	LR: 0.020000
Training Epoch: 8 [36864/46250]	Loss: 0.4328	LR: 0.020000
Training Epoch: 8 [37120/46250]	Loss: 0.5182	LR: 0.020000
Training Epoch: 8 [37376/46250]	Loss: 0.3645	LR: 0.020000
Training Epoch: 8 [37632/46250]	Loss: 0.3867	LR: 0.020000
Training Epoch: 8 [37888/46250]	Loss: 0.4838	LR: 0.020000
Training Epoch: 8 [38144/46250]	Loss: 0.4227	LR: 0.020000
Training Epoch: 8 [38400/46250]	Loss: 0.5260	LR: 0.020000
Training Epoch: 8 [38656/46250]	Loss: 0.5154	LR: 0.020000
Training Epoch: 8 [38912/46250]	Loss: 0.3990	LR: 0.020000
Training Epoch: 8 [39168/46250]	Loss: 0.3868	LR: 0.020000
Training Epoch: 8 [39424/46250]	Loss: 0.3236	LR: 0.020000
Training Epoch: 8 [39680/46250]	Loss: 0.4838	LR: 0.020000
Training Epoch: 8 [39936/46250]	Loss: 0.4425	LR: 0.020000
Training Epoch: 8 [40192/46250]	Loss: 0.3785	LR: 0.020000
Training Epoch: 8 [40448/46250]	Loss: 0.4499	LR: 0.020000
Training Epoch: 8 [40704/46250]	Loss: 0.4050	LR: 0.020000
Training Epoch: 8 [40960/46250]	Loss: 0.4123	LR: 0.020000
Training Epoch: 8 [41216/46250]	Loss: 0.4381	LR: 0.020000
Training Epoch: 8 [41472/46250]	Loss: 0.4900	LR: 0.020000
Training Epoch: 8 [41728/46250]	Loss: 0.5447	LR: 0.020000
Training Epoch: 8 [41984/46250]	Loss: 0.3998	LR: 0.020000
Training Epoch: 8 [42240/46250]	Loss: 0.4984	LR: 0.020000
Training Epoch: 8 [42496/46250]	Loss: 0.4914	LR: 0.020000
Training Epoch: 8 [42752/46250]	Loss: 0.5081	LR: 0.020000
Training Epoch: 8 [43008/46250]	Loss: 0.4936	LR: 0.020000
Training Epoch: 8 [43264/46250]	Loss: 0.4129	LR: 0.020000
Training Epoch: 8 [43520/46250]	Loss: 0.4577	LR: 0.020000
Training Epoch: 8 [43776/46250]	Loss: 0.4446	LR: 0.020000
Training Epoch: 8 [44032/46250]	Loss: 0.3246	LR: 0.020000
Training Epoch: 8 [44288/46250]	Loss: 0.4880	LR: 0.020000
Training Epoch: 8 [44544/46250]	Loss: 0.4179	LR: 0.020000
Training Epoch: 8 [44800/46250]	Loss: 0.4333	LR: 0.020000
Training Epoch: 8 [45056/46250]	Loss: 0.4525	LR: 0.020000
Training Epoch: 8 [45312/46250]	Loss: 0.3917	LR: 0.020000
Training Epoch: 8 [45568/46250]	Loss: 0.3993	LR: 0.020000
Training Epoch: 8 [45824/46250]	Loss: 0.4150	LR: 0.020000
Training Epoch: 8 [46080/46250]	Loss: 0.4609	LR: 0.020000
Training Epoch: 8 [46250/46250]	Loss: 0.5693	LR: 0.020000
Epoch 8 - Average Train Loss: 0.4568, Train Accuracy: 0.8409
Epoch 8 training time consumed: 28.00s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0017, Accuracy: 0.8558, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_07h_44m_59s/ResNet18-Cifar10-seed6-ret25-8-best.pth
Training Epoch: 9 [256/46250]	Loss: 0.4720	LR: 0.020000
Training Epoch: 9 [512/46250]	Loss: 0.3475	LR: 0.020000
Training Epoch: 9 [768/46250]	Loss: 0.3722	LR: 0.020000
Training Epoch: 9 [1024/46250]	Loss: 0.3941	LR: 0.020000
Training Epoch: 9 [1280/46250]	Loss: 0.3637	LR: 0.020000
Training Epoch: 9 [1536/46250]	Loss: 0.5148	LR: 0.020000
Training Epoch: 9 [1792/46250]	Loss: 0.3525	LR: 0.020000
Training Epoch: 9 [2048/46250]	Loss: 0.3871	LR: 0.020000
Training Epoch: 9 [2304/46250]	Loss: 0.3945	LR: 0.020000
Training Epoch: 9 [2560/46250]	Loss: 0.3832	LR: 0.020000
Training Epoch: 9 [2816/46250]	Loss: 0.4206	LR: 0.020000
Training Epoch: 9 [3072/46250]	Loss: 0.4852	LR: 0.020000
Training Epoch: 9 [3328/46250]	Loss: 0.3967	LR: 0.020000
Training Epoch: 9 [3584/46250]	Loss: 0.3691	LR: 0.020000
Training Epoch: 9 [3840/46250]	Loss: 0.3731	LR: 0.020000
Training Epoch: 9 [4096/46250]	Loss: 0.3689	LR: 0.020000
Training Epoch: 9 [4352/46250]	Loss: 0.4039	LR: 0.020000
Training Epoch: 9 [4608/46250]	Loss: 0.4254	LR: 0.020000
Training Epoch: 9 [4864/46250]	Loss: 0.4500	LR: 0.020000
Training Epoch: 9 [5120/46250]	Loss: 0.3829	LR: 0.020000
Training Epoch: 9 [5376/46250]	Loss: 0.4726	LR: 0.020000
Training Epoch: 9 [5632/46250]	Loss: 0.4330	LR: 0.020000
Training Epoch: 9 [5888/46250]	Loss: 0.3862	LR: 0.020000
Training Epoch: 9 [6144/46250]	Loss: 0.4139	LR: 0.020000
Training Epoch: 9 [6400/46250]	Loss: 0.4945	LR: 0.020000
Training Epoch: 9 [6656/46250]	Loss: 0.4500	LR: 0.020000
Training Epoch: 9 [6912/46250]	Loss: 0.3862	LR: 0.020000
Training Epoch: 9 [7168/46250]	Loss: 0.3876	LR: 0.020000
Training Epoch: 9 [7424/46250]	Loss: 0.4112	LR: 0.020000
Training Epoch: 9 [7680/46250]	Loss: 0.4646	LR: 0.020000
Training Epoch: 9 [7936/46250]	Loss: 0.3943	LR: 0.020000
Training Epoch: 9 [8192/46250]	Loss: 0.3317	LR: 0.020000
Training Epoch: 9 [8448/46250]	Loss: 0.4360	LR: 0.020000
Training Epoch: 9 [8704/46250]	Loss: 0.3916	LR: 0.020000
Training Epoch: 9 [8960/46250]	Loss: 0.4581	LR: 0.020000
Training Epoch: 9 [9216/46250]	Loss: 0.3531	LR: 0.020000
Training Epoch: 9 [9472/46250]	Loss: 0.3667	LR: 0.020000
Training Epoch: 9 [9728/46250]	Loss: 0.3838	LR: 0.020000
Training Epoch: 9 [9984/46250]	Loss: 0.3851	LR: 0.020000
Training Epoch: 9 [10240/46250]	Loss: 0.3839	LR: 0.020000
Training Epoch: 9 [10496/46250]	Loss: 0.5019	LR: 0.020000
Training Epoch: 9 [10752/46250]	Loss: 0.4049	LR: 0.020000
Training Epoch: 9 [11008/46250]	Loss: 0.3863	LR: 0.020000
Training Epoch: 9 [11264/46250]	Loss: 0.3553	LR: 0.020000
Training Epoch: 9 [11520/46250]	Loss: 0.4914	LR: 0.020000
Training Epoch: 9 [11776/46250]	Loss: 0.3222	LR: 0.020000
Training Epoch: 9 [12032/46250]	Loss: 0.4041	LR: 0.020000
Training Epoch: 9 [12288/46250]	Loss: 0.4076	LR: 0.020000
Training Epoch: 9 [12544/46250]	Loss: 0.4515	LR: 0.020000
Training Epoch: 9 [12800/46250]	Loss: 0.4430	LR: 0.020000
Training Epoch: 9 [13056/46250]	Loss: 0.4610	LR: 0.020000
Training Epoch: 9 [13312/46250]	Loss: 0.3977	LR: 0.020000
Training Epoch: 9 [13568/46250]	Loss: 0.4528	LR: 0.020000
Training Epoch: 9 [13824/46250]	Loss: 0.4337	LR: 0.020000
Training Epoch: 9 [14080/46250]	Loss: 0.4354	LR: 0.020000
Training Epoch: 9 [14336/46250]	Loss: 0.4135	LR: 0.020000
Training Epoch: 9 [14592/46250]	Loss: 0.4351	LR: 0.020000
Training Epoch: 9 [14848/46250]	Loss: 0.3717	LR: 0.020000
Training Epoch: 9 [15104/46250]	Loss: 0.4330	LR: 0.020000
Training Epoch: 9 [15360/46250]	Loss: 0.3647	LR: 0.020000
Training Epoch: 9 [15616/46250]	Loss: 0.4153	LR: 0.020000
Training Epoch: 9 [15872/46250]	Loss: 0.4605	LR: 0.020000
Training Epoch: 9 [16128/46250]	Loss: 0.4370	LR: 0.020000
Training Epoch: 9 [16384/46250]	Loss: 0.3561	LR: 0.020000
Training Epoch: 9 [16640/46250]	Loss: 0.3744	LR: 0.020000
Training Epoch: 9 [16896/46250]	Loss: 0.3974	LR: 0.020000
Training Epoch: 9 [17152/46250]	Loss: 0.4602	LR: 0.020000
Training Epoch: 9 [17408/46250]	Loss: 0.4268	LR: 0.020000
Training Epoch: 9 [17664/46250]	Loss: 0.4481	LR: 0.020000
Training Epoch: 9 [17920/46250]	Loss: 0.3782	LR: 0.020000
Training Epoch: 9 [18176/46250]	Loss: 0.3390	LR: 0.020000
Training Epoch: 9 [18432/46250]	Loss: 0.4353	LR: 0.020000
Training Epoch: 9 [18688/46250]	Loss: 0.3854	LR: 0.020000
Training Epoch: 9 [18944/46250]	Loss: 0.3945	LR: 0.020000
Training Epoch: 9 [19200/46250]	Loss: 0.3777	LR: 0.020000
Training Epoch: 9 [19456/46250]	Loss: 0.4301	LR: 0.020000
Training Epoch: 9 [19712/46250]	Loss: 0.4690	LR: 0.020000
Training Epoch: 9 [19968/46250]	Loss: 0.3632	LR: 0.020000
Training Epoch: 9 [20224/46250]	Loss: 0.4795	LR: 0.020000
Training Epoch: 9 [20480/46250]	Loss: 0.4147	LR: 0.020000
Training Epoch: 9 [20736/46250]	Loss: 0.4659	LR: 0.020000
Training Epoch: 9 [20992/46250]	Loss: 0.4166	LR: 0.020000
Training Epoch: 9 [21248/46250]	Loss: 0.3980	LR: 0.020000
Training Epoch: 9 [21504/46250]	Loss: 0.4145	LR: 0.020000
Training Epoch: 9 [21760/46250]	Loss: 0.4041	LR: 0.020000
Training Epoch: 9 [22016/46250]	Loss: 0.4150	LR: 0.020000
Training Epoch: 9 [22272/46250]	Loss: 0.4128	LR: 0.020000
Training Epoch: 9 [22528/46250]	Loss: 0.3978	LR: 0.020000
Training Epoch: 9 [22784/46250]	Loss: 0.3203	LR: 0.020000
Training Epoch: 9 [23040/46250]	Loss: 0.3754	LR: 0.020000
Training Epoch: 9 [23296/46250]	Loss: 0.4014	LR: 0.020000
Training Epoch: 9 [23552/46250]	Loss: 0.4548	LR: 0.020000
Training Epoch: 9 [23808/46250]	Loss: 0.3563	LR: 0.020000
Training Epoch: 9 [24064/46250]	Loss: 0.4405	LR: 0.020000
Training Epoch: 9 [24320/46250]	Loss: 0.3792	LR: 0.020000
Training Epoch: 9 [24576/46250]	Loss: 0.3595	LR: 0.020000
Training Epoch: 9 [24832/46250]	Loss: 0.4753	LR: 0.020000
Training Epoch: 9 [25088/46250]	Loss: 0.3554	LR: 0.020000
Training Epoch: 9 [25344/46250]	Loss: 0.4252	LR: 0.020000
Training Epoch: 9 [25600/46250]	Loss: 0.3845	LR: 0.020000
Training Epoch: 9 [25856/46250]	Loss: 0.4745	LR: 0.020000
Training Epoch: 9 [26112/46250]	Loss: 0.3864	LR: 0.020000
Training Epoch: 9 [26368/46250]	Loss: 0.3875	LR: 0.020000
Training Epoch: 9 [26624/46250]	Loss: 0.3721	LR: 0.020000
Training Epoch: 9 [26880/46250]	Loss: 0.3671	LR: 0.020000
Training Epoch: 9 [27136/46250]	Loss: 0.4007	LR: 0.020000
Training Epoch: 9 [27392/46250]	Loss: 0.4504	LR: 0.020000
Training Epoch: 9 [27648/46250]	Loss: 0.5143	LR: 0.020000
Training Epoch: 9 [27904/46250]	Loss: 0.5201	LR: 0.020000
Training Epoch: 9 [28160/46250]	Loss: 0.4798	LR: 0.020000
Training Epoch: 9 [28416/46250]	Loss: 0.5133	LR: 0.020000
Training Epoch: 9 [28672/46250]	Loss: 0.3992	LR: 0.020000
Training Epoch: 9 [28928/46250]	Loss: 0.4973	LR: 0.020000
Training Epoch: 9 [29184/46250]	Loss: 0.3559	LR: 0.020000
Training Epoch: 9 [29440/46250]	Loss: 0.4341	LR: 0.020000
Training Epoch: 9 [29696/46250]	Loss: 0.3637	LR: 0.020000
Training Epoch: 9 [29952/46250]	Loss: 0.4530	LR: 0.020000
Training Epoch: 9 [30208/46250]	Loss: 0.4298	LR: 0.020000
Training Epoch: 9 [30464/46250]	Loss: 0.4500	LR: 0.020000
Training Epoch: 9 [30720/46250]	Loss: 0.3591	LR: 0.020000
Training Epoch: 9 [30976/46250]	Loss: 0.3272	LR: 0.020000
Training Epoch: 9 [31232/46250]	Loss: 0.3307	LR: 0.020000
Training Epoch: 9 [31488/46250]	Loss: 0.4773	LR: 0.020000
Training Epoch: 9 [31744/46250]	Loss: 0.3897	LR: 0.020000
Training Epoch: 9 [32000/46250]	Loss: 0.4085	LR: 0.020000
Training Epoch: 9 [32256/46250]	Loss: 0.3749	LR: 0.020000
Training Epoch: 9 [32512/46250]	Loss: 0.4667	LR: 0.020000
Training Epoch: 9 [32768/46250]	Loss: 0.4371	LR: 0.020000
Training Epoch: 9 [33024/46250]	Loss: 0.3737	LR: 0.020000
Training Epoch: 9 [33280/46250]	Loss: 0.4868	LR: 0.020000
Training Epoch: 9 [33536/46250]	Loss: 0.4720	LR: 0.020000
Training Epoch: 9 [33792/46250]	Loss: 0.3551	LR: 0.020000
Training Epoch: 9 [34048/46250]	Loss: 0.4370	LR: 0.020000
Training Epoch: 9 [34304/46250]	Loss: 0.3362	LR: 0.020000
Training Epoch: 9 [34560/46250]	Loss: 0.3796	LR: 0.020000
Training Epoch: 9 [34816/46250]	Loss: 0.3240	LR: 0.020000
Training Epoch: 9 [35072/46250]	Loss: 0.4487	LR: 0.020000
Training Epoch: 9 [35328/46250]	Loss: 0.4265	LR: 0.020000
Training Epoch: 9 [35584/46250]	Loss: 0.3849	LR: 0.020000
Training Epoch: 9 [35840/46250]	Loss: 0.4178	LR: 0.020000
Training Epoch: 9 [36096/46250]	Loss: 0.3716	LR: 0.020000
Training Epoch: 9 [36352/46250]	Loss: 0.5166	LR: 0.020000
Training Epoch: 9 [36608/46250]	Loss: 0.4178	LR: 0.020000
Training Epoch: 9 [36864/46250]	Loss: 0.4407	LR: 0.020000
Training Epoch: 9 [37120/46250]	Loss: 0.4236	LR: 0.020000
Training Epoch: 9 [37376/46250]	Loss: 0.4165	LR: 0.020000
Training Epoch: 9 [37632/46250]	Loss: 0.4170	LR: 0.020000
Training Epoch: 9 [37888/46250]	Loss: 0.4479	LR: 0.020000
Training Epoch: 9 [38144/46250]	Loss: 0.3146	LR: 0.020000
Training Epoch: 9 [38400/46250]	Loss: 0.3482	LR: 0.020000
Training Epoch: 9 [38656/46250]	Loss: 0.4479	LR: 0.020000
Training Epoch: 9 [38912/46250]	Loss: 0.4706	LR: 0.020000
Training Epoch: 9 [39168/46250]	Loss: 0.2917	LR: 0.020000
Training Epoch: 9 [39424/46250]	Loss: 0.4025	LR: 0.020000
Training Epoch: 9 [39680/46250]	Loss: 0.4307	LR: 0.020000
Training Epoch: 9 [39936/46250]	Loss: 0.4348	LR: 0.020000
Training Epoch: 9 [40192/46250]	Loss: 0.3885	LR: 0.020000
Training Epoch: 9 [40448/46250]	Loss: 0.4200	LR: 0.020000
Training Epoch: 9 [40704/46250]	Loss: 0.3707	LR: 0.020000
Training Epoch: 9 [40960/46250]	Loss: 0.4014	LR: 0.020000
Training Epoch: 9 [41216/46250]	Loss: 0.3397	LR: 0.020000
Training Epoch: 9 [41472/46250]	Loss: 0.3936	LR: 0.020000
Training Epoch: 9 [41728/46250]	Loss: 0.3690	LR: 0.020000
Training Epoch: 9 [41984/46250]	Loss: 0.4373	LR: 0.020000
Training Epoch: 9 [42240/46250]	Loss: 0.4091	LR: 0.020000
Training Epoch: 9 [42496/46250]	Loss: 0.3681	LR: 0.020000
Training Epoch: 9 [42752/46250]	Loss: 0.4275	LR: 0.020000
Training Epoch: 9 [43008/46250]	Loss: 0.3928	LR: 0.020000
Training Epoch: 9 [43264/46250]	Loss: 0.3995	LR: 0.020000
Training Epoch: 9 [43520/46250]	Loss: 0.4577	LR: 0.020000
Training Epoch: 9 [43776/46250]	Loss: 0.4808	LR: 0.020000
Training Epoch: 9 [44032/46250]	Loss: 0.3540	LR: 0.020000
Training Epoch: 9 [44288/46250]	Loss: 0.4705	LR: 0.020000
Training Epoch: 9 [44544/46250]	Loss: 0.4518	LR: 0.020000
Training Epoch: 9 [44800/46250]	Loss: 0.3885	LR: 0.020000
Training Epoch: 9 [45056/46250]	Loss: 0.3943	LR: 0.020000
Training Epoch: 9 [45312/46250]	Loss: 0.3710	LR: 0.020000
Training Epoch: 9 [45568/46250]	Loss: 0.3669	LR: 0.020000
Training Epoch: 9 [45824/46250]	Loss: 0.3791	LR: 0.020000
Training Epoch: 9 [46080/46250]	Loss: 0.3695	LR: 0.020000
Training Epoch: 9 [46250/46250]	Loss: 0.4152	LR: 0.020000
Epoch 9 - Average Train Loss: 0.4098, Train Accuracy: 0.8561
Epoch 9 training time consumed: 27.98s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0016, Accuracy: 0.8600, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_07h_44m_59s/ResNet18-Cifar10-seed6-ret25-9-best.pth
Training Epoch: 10 [256/46250]	Loss: 0.4212	LR: 0.020000
Training Epoch: 10 [512/46250]	Loss: 0.4108	LR: 0.020000
Training Epoch: 10 [768/46250]	Loss: 0.4356	LR: 0.020000
Training Epoch: 10 [1024/46250]	Loss: 0.3455	LR: 0.020000
Training Epoch: 10 [1280/46250]	Loss: 0.3729	LR: 0.020000
Training Epoch: 10 [1536/46250]	Loss: 0.4695	LR: 0.020000
Training Epoch: 10 [1792/46250]	Loss: 0.3531	LR: 0.020000
Training Epoch: 10 [2048/46250]	Loss: 0.3821	LR: 0.020000
Training Epoch: 10 [2304/46250]	Loss: 0.4340	LR: 0.020000
Training Epoch: 10 [2560/46250]	Loss: 0.4027	LR: 0.020000
Training Epoch: 10 [2816/46250]	Loss: 0.4376	LR: 0.020000
Training Epoch: 10 [3072/46250]	Loss: 0.4048	LR: 0.020000
Training Epoch: 10 [3328/46250]	Loss: 0.3711	LR: 0.020000
Training Epoch: 10 [3584/46250]	Loss: 0.3022	LR: 0.020000
Training Epoch: 10 [3840/46250]	Loss: 0.3844	LR: 0.020000
Training Epoch: 10 [4096/46250]	Loss: 0.3589	LR: 0.020000
Training Epoch: 10 [4352/46250]	Loss: 0.3917	LR: 0.020000
Training Epoch: 10 [4608/46250]	Loss: 0.5150	LR: 0.020000
Training Epoch: 10 [4864/46250]	Loss: 0.3521	LR: 0.020000
Training Epoch: 10 [5120/46250]	Loss: 0.3635	LR: 0.020000
Training Epoch: 10 [5376/46250]	Loss: 0.5023	LR: 0.020000
Training Epoch: 10 [5632/46250]	Loss: 0.4280	LR: 0.020000
Training Epoch: 10 [5888/46250]	Loss: 0.4016	LR: 0.020000
Training Epoch: 10 [6144/46250]	Loss: 0.3508	LR: 0.020000
Training Epoch: 10 [6400/46250]	Loss: 0.3583	LR: 0.020000
Training Epoch: 10 [6656/46250]	Loss: 0.4251	LR: 0.020000
Training Epoch: 10 [6912/46250]	Loss: 0.2813	LR: 0.020000
Training Epoch: 10 [7168/46250]	Loss: 0.4297	LR: 0.020000
Training Epoch: 10 [7424/46250]	Loss: 0.4956	LR: 0.020000
Training Epoch: 10 [7680/46250]	Loss: 0.4801	LR: 0.020000
Training Epoch: 10 [7936/46250]	Loss: 0.3873	LR: 0.020000
Training Epoch: 10 [8192/46250]	Loss: 0.3742	LR: 0.020000
Training Epoch: 10 [8448/46250]	Loss: 0.3902	LR: 0.020000
Training Epoch: 10 [8704/46250]	Loss: 0.3503	LR: 0.020000
Training Epoch: 10 [8960/46250]	Loss: 0.3765	LR: 0.020000
Training Epoch: 10 [9216/46250]	Loss: 0.3964	LR: 0.020000
Training Epoch: 10 [9472/46250]	Loss: 0.3723	LR: 0.020000
Training Epoch: 10 [9728/46250]	Loss: 0.4498	LR: 0.020000
Training Epoch: 10 [9984/46250]	Loss: 0.4557	LR: 0.020000
Training Epoch: 10 [10240/46250]	Loss: 0.3367	LR: 0.020000
Training Epoch: 10 [10496/46250]	Loss: 0.3021	LR: 0.020000
Training Epoch: 10 [10752/46250]	Loss: 0.3861	LR: 0.020000
Training Epoch: 10 [11008/46250]	Loss: 0.4151	LR: 0.020000
Training Epoch: 10 [11264/46250]	Loss: 0.3283	LR: 0.020000
Training Epoch: 10 [11520/46250]	Loss: 0.4252	LR: 0.020000
Training Epoch: 10 [11776/46250]	Loss: 0.3137	LR: 0.020000
Training Epoch: 10 [12032/46250]	Loss: 0.4229	LR: 0.020000
Training Epoch: 10 [12288/46250]	Loss: 0.4111	LR: 0.020000
Training Epoch: 10 [12544/46250]	Loss: 0.4792	LR: 0.020000
Training Epoch: 10 [12800/46250]	Loss: 0.3275	LR: 0.020000
Training Epoch: 10 [13056/46250]	Loss: 0.3861	LR: 0.020000
Training Epoch: 10 [13312/46250]	Loss: 0.3802	LR: 0.020000
Training Epoch: 10 [13568/46250]	Loss: 0.3362	LR: 0.020000
Training Epoch: 10 [13824/46250]	Loss: 0.3851	LR: 0.020000
Training Epoch: 10 [14080/46250]	Loss: 0.3838	LR: 0.020000
Training Epoch: 10 [14336/46250]	Loss: 0.2698	LR: 0.020000
Training Epoch: 10 [14592/46250]	Loss: 0.4014	LR: 0.020000
Training Epoch: 10 [14848/46250]	Loss: 0.4441	LR: 0.020000
Training Epoch: 10 [15104/46250]	Loss: 0.3647	LR: 0.020000
Training Epoch: 10 [15360/46250]	Loss: 0.4398	LR: 0.020000
Training Epoch: 10 [15616/46250]	Loss: 0.3478	LR: 0.020000
Training Epoch: 10 [15872/46250]	Loss: 0.4135	LR: 0.020000
Training Epoch: 10 [16128/46250]	Loss: 0.3515	LR: 0.020000
Training Epoch: 10 [16384/46250]	Loss: 0.3365	LR: 0.020000
Training Epoch: 10 [16640/46250]	Loss: 0.4694	LR: 0.020000
Training Epoch: 10 [16896/46250]	Loss: 0.2822	LR: 0.020000
Training Epoch: 10 [17152/46250]	Loss: 0.4343	LR: 0.020000
Training Epoch: 10 [17408/46250]	Loss: 0.3273	LR: 0.020000
Training Epoch: 10 [17664/46250]	Loss: 0.3990	LR: 0.020000
Training Epoch: 10 [17920/46250]	Loss: 0.3000	LR: 0.020000
Training Epoch: 10 [18176/46250]	Loss: 0.2969	LR: 0.020000
Training Epoch: 10 [18432/46250]	Loss: 0.4449	LR: 0.020000
Training Epoch: 10 [18688/46250]	Loss: 0.4273	LR: 0.020000
Training Epoch: 10 [18944/46250]	Loss: 0.4089	LR: 0.020000
Training Epoch: 10 [19200/46250]	Loss: 0.3562	LR: 0.020000
Training Epoch: 10 [19456/46250]	Loss: 0.3885	LR: 0.020000
Training Epoch: 10 [19712/46250]	Loss: 0.4216	LR: 0.020000
Training Epoch: 10 [19968/46250]	Loss: 0.3312	LR: 0.020000
Training Epoch: 10 [20224/46250]	Loss: 0.4514	LR: 0.020000
Training Epoch: 10 [20480/46250]	Loss: 0.3727	LR: 0.020000
Training Epoch: 10 [20736/46250]	Loss: 0.4172	LR: 0.020000
Training Epoch: 10 [20992/46250]	Loss: 0.4025	LR: 0.020000
Training Epoch: 10 [21248/46250]	Loss: 0.4489	LR: 0.020000
Training Epoch: 10 [21504/46250]	Loss: 0.3292	LR: 0.020000
Training Epoch: 10 [21760/46250]	Loss: 0.4074	LR: 0.020000
Training Epoch: 10 [22016/46250]	Loss: 0.4150	LR: 0.020000
Training Epoch: 10 [22272/46250]	Loss: 0.5034	LR: 0.020000
Training Epoch: 10 [22528/46250]	Loss: 0.4064	LR: 0.020000
Training Epoch: 10 [22784/46250]	Loss: 0.3690	LR: 0.020000
Training Epoch: 10 [23040/46250]	Loss: 0.4477	LR: 0.020000
Training Epoch: 10 [23296/46250]	Loss: 0.2841	LR: 0.020000
Training Epoch: 10 [23552/46250]	Loss: 0.4494	LR: 0.020000
Training Epoch: 10 [23808/46250]	Loss: 0.4414	LR: 0.020000
Training Epoch: 10 [24064/46250]	Loss: 0.3753	LR: 0.020000
Training Epoch: 10 [24320/46250]	Loss: 0.3828	LR: 0.020000
Training Epoch: 10 [24576/46250]	Loss: 0.3104	LR: 0.020000
Training Epoch: 10 [24832/46250]	Loss: 0.3855	LR: 0.020000
Training Epoch: 10 [25088/46250]	Loss: 0.3804	LR: 0.020000
Training Epoch: 10 [25344/46250]	Loss: 0.4430	LR: 0.020000
Training Epoch: 10 [25600/46250]	Loss: 0.5747	LR: 0.020000
Training Epoch: 10 [25856/46250]	Loss: 0.3192	LR: 0.020000
Training Epoch: 10 [26112/46250]	Loss: 0.2961	LR: 0.020000
Training Epoch: 10 [26368/46250]	Loss: 0.3197	LR: 0.020000
Training Epoch: 10 [26624/46250]	Loss: 0.3904	LR: 0.020000
Training Epoch: 10 [26880/46250]	Loss: 0.3379	LR: 0.020000
Training Epoch: 10 [27136/46250]	Loss: 0.3651	LR: 0.020000
Training Epoch: 10 [27392/46250]	Loss: 0.4090	LR: 0.020000
Training Epoch: 10 [27648/46250]	Loss: 0.4052	LR: 0.020000
Training Epoch: 10 [27904/46250]	Loss: 0.4204	LR: 0.020000
Training Epoch: 10 [28160/46250]	Loss: 0.3076	LR: 0.020000
Training Epoch: 10 [28416/46250]	Loss: 0.2651	LR: 0.020000
Training Epoch: 10 [28672/46250]	Loss: 0.3952	LR: 0.020000
Training Epoch: 10 [28928/46250]	Loss: 0.4402	LR: 0.020000
Training Epoch: 10 [29184/46250]	Loss: 0.3716	LR: 0.020000
Training Epoch: 10 [29440/46250]	Loss: 0.3836	LR: 0.020000
Training Epoch: 10 [29696/46250]	Loss: 0.4085	LR: 0.020000
Training Epoch: 10 [29952/46250]	Loss: 0.4550	LR: 0.020000
Training Epoch: 10 [30208/46250]	Loss: 0.4165	LR: 0.020000
Training Epoch: 10 [30464/46250]	Loss: 0.4150	LR: 0.020000
Training Epoch: 10 [30720/46250]	Loss: 0.2682	LR: 0.020000
Training Epoch: 10 [30976/46250]	Loss: 0.4773	LR: 0.020000
Training Epoch: 10 [31232/46250]	Loss: 0.3297	LR: 0.020000
Training Epoch: 10 [31488/46250]	Loss: 0.3564	LR: 0.020000
Training Epoch: 10 [31744/46250]	Loss: 0.3334	LR: 0.020000
Training Epoch: 10 [32000/46250]	Loss: 0.3950	LR: 0.020000
Training Epoch: 10 [32256/46250]	Loss: 0.3197	LR: 0.020000
Training Epoch: 10 [32512/46250]	Loss: 0.3201	LR: 0.020000
Training Epoch: 10 [32768/46250]	Loss: 0.3307	LR: 0.020000
Training Epoch: 10 [33024/46250]	Loss: 0.4317	LR: 0.020000
Training Epoch: 10 [33280/46250]	Loss: 0.4021	LR: 0.020000
Training Epoch: 10 [33536/46250]	Loss: 0.3041	LR: 0.020000
Training Epoch: 10 [33792/46250]	Loss: 0.3833	LR: 0.020000
Training Epoch: 10 [34048/46250]	Loss: 0.3900	LR: 0.020000
Training Epoch: 10 [34304/46250]	Loss: 0.4054	LR: 0.020000
Training Epoch: 10 [34560/46250]	Loss: 0.3955	LR: 0.020000
Training Epoch: 10 [34816/46250]	Loss: 0.4263	LR: 0.020000
Training Epoch: 10 [35072/46250]	Loss: 0.3548	LR: 0.020000
Training Epoch: 10 [35328/46250]	Loss: 0.3490	LR: 0.020000
Training Epoch: 10 [35584/46250]	Loss: 0.4070	LR: 0.020000
Training Epoch: 10 [35840/46250]	Loss: 0.3420	LR: 0.020000
Training Epoch: 10 [36096/46250]	Loss: 0.5013	LR: 0.020000
Training Epoch: 10 [36352/46250]	Loss: 0.3922	LR: 0.020000
Training Epoch: 10 [36608/46250]	Loss: 0.3960	LR: 0.020000
Training Epoch: 10 [36864/46250]	Loss: 0.3627	LR: 0.020000
Training Epoch: 10 [37120/46250]	Loss: 0.3515	LR: 0.020000
Training Epoch: 10 [37376/46250]	Loss: 0.3505	LR: 0.020000
Training Epoch: 10 [37632/46250]	Loss: 0.2928	LR: 0.020000
Training Epoch: 10 [37888/46250]	Loss: 0.4005	LR: 0.020000
Training Epoch: 10 [38144/46250]	Loss: 0.4091	LR: 0.020000
Training Epoch: 10 [38400/46250]	Loss: 0.3322	LR: 0.020000
Training Epoch: 10 [38656/46250]	Loss: 0.3792	LR: 0.020000
Training Epoch: 10 [38912/46250]	Loss: 0.4212	LR: 0.020000
Training Epoch: 10 [39168/46250]	Loss: 0.4046	LR: 0.020000
Training Epoch: 10 [39424/46250]	Loss: 0.4467	LR: 0.020000
Training Epoch: 10 [39680/46250]	Loss: 0.4804	LR: 0.020000
Training Epoch: 10 [39936/46250]	Loss: 0.4643	LR: 0.020000
Training Epoch: 10 [40192/46250]	Loss: 0.4203	LR: 0.020000
Training Epoch: 10 [40448/46250]	Loss: 0.3796	LR: 0.020000
Training Epoch: 10 [40704/46250]	Loss: 0.4117	LR: 0.020000
Training Epoch: 10 [40960/46250]	Loss: 0.4654	LR: 0.020000
Training Epoch: 10 [41216/46250]	Loss: 0.4515	LR: 0.020000
Training Epoch: 10 [41472/46250]	Loss: 0.3431	LR: 0.020000
Training Epoch: 10 [41728/46250]	Loss: 0.3389	LR: 0.020000
Training Epoch: 10 [41984/46250]	Loss: 0.3932	LR: 0.020000
Training Epoch: 10 [42240/46250]	Loss: 0.3684	LR: 0.020000
Training Epoch: 10 [42496/46250]	Loss: 0.3189	LR: 0.020000
Training Epoch: 10 [42752/46250]	Loss: 0.3746	LR: 0.020000
Training Epoch: 10 [43008/46250]	Loss: 0.4350	LR: 0.020000
Training Epoch: 10 [43264/46250]	Loss: 0.3646	LR: 0.020000
Training Epoch: 10 [43520/46250]	Loss: 0.4164	LR: 0.020000
Training Epoch: 10 [43776/46250]	Loss: 0.3255	LR: 0.020000
Training Epoch: 10 [44032/46250]	Loss: 0.3247	LR: 0.020000
Training Epoch: 10 [44288/46250]	Loss: 0.3591	LR: 0.020000
Training Epoch: 10 [44544/46250]	Loss: 0.3653	LR: 0.020000
Training Epoch: 10 [44800/46250]	Loss: 0.3259	LR: 0.020000
Training Epoch: 10 [45056/46250]	Loss: 0.2947	LR: 0.020000
Training Epoch: 10 [45312/46250]	Loss: 0.3415	LR: 0.020000
Training Epoch: 10 [45568/46250]	Loss: 0.3789	LR: 0.020000
Training Epoch: 10 [45824/46250]	Loss: 0.4275	LR: 0.020000
Training Epoch: 10 [46080/46250]	Loss: 0.3333	LR: 0.020000
Training Epoch: 10 [46250/46250]	Loss: 0.4258	LR: 0.020000
Epoch 10 - Average Train Loss: 0.3861, Train Accuracy: 0.8653
Epoch 10 training time consumed: 28.24s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0015, Accuracy: 0.8694, Time consumed:0.98s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_07h_44m_59s/ResNet18-Cifar10-seed6-ret25-10-best.pth
Training Epoch: 11 [256/46250]	Loss: 0.5106	LR: 0.020000
Training Epoch: 11 [512/46250]	Loss: 0.3449	LR: 0.020000
Training Epoch: 11 [768/46250]	Loss: 0.2948	LR: 0.020000
Training Epoch: 11 [1024/46250]	Loss: 0.3282	LR: 0.020000
Training Epoch: 11 [1280/46250]	Loss: 0.2621	LR: 0.020000
Training Epoch: 11 [1536/46250]	Loss: 0.4796	LR: 0.020000
Training Epoch: 11 [1792/46250]	Loss: 0.3167	LR: 0.020000
Training Epoch: 11 [2048/46250]	Loss: 0.3436	LR: 0.020000
Training Epoch: 11 [2304/46250]	Loss: 0.3527	LR: 0.020000
Training Epoch: 11 [2560/46250]	Loss: 0.2611	LR: 0.020000
Training Epoch: 11 [2816/46250]	Loss: 0.3926	LR: 0.020000
Training Epoch: 11 [3072/46250]	Loss: 0.3466	LR: 0.020000
Training Epoch: 11 [3328/46250]	Loss: 0.4173	LR: 0.020000
Training Epoch: 11 [3584/46250]	Loss: 0.3304	LR: 0.020000
Training Epoch: 11 [3840/46250]	Loss: 0.3454	LR: 0.020000
Training Epoch: 11 [4096/46250]	Loss: 0.3883	LR: 0.020000
Training Epoch: 11 [4352/46250]	Loss: 0.3395	LR: 0.020000
Training Epoch: 11 [4608/46250]	Loss: 0.3870	LR: 0.020000
Training Epoch: 11 [4864/46250]	Loss: 0.3756	LR: 0.020000
Training Epoch: 11 [5120/46250]	Loss: 0.2942	LR: 0.020000
Training Epoch: 11 [5376/46250]	Loss: 0.3601	LR: 0.020000
Training Epoch: 11 [5632/46250]	Loss: 0.4273	LR: 0.020000
Training Epoch: 11 [5888/46250]	Loss: 0.4085	LR: 0.020000
Training Epoch: 11 [6144/46250]	Loss: 0.4408	LR: 0.020000
Training Epoch: 11 [6400/46250]	Loss: 0.4576	LR: 0.020000
Training Epoch: 11 [6656/46250]	Loss: 0.3915	LR: 0.020000
Training Epoch: 11 [6912/46250]	Loss: 0.3556	LR: 0.020000
Training Epoch: 11 [7168/46250]	Loss: 0.4311	LR: 0.020000
Training Epoch: 11 [7424/46250]	Loss: 0.4521	LR: 0.020000
Training Epoch: 11 [7680/46250]	Loss: 0.3679	LR: 0.020000
Training Epoch: 11 [7936/46250]	Loss: 0.3219	LR: 0.020000
Training Epoch: 11 [8192/46250]	Loss: 0.2864	LR: 0.020000
Training Epoch: 11 [8448/46250]	Loss: 0.3192	LR: 0.020000
Training Epoch: 11 [8704/46250]	Loss: 0.3696	LR: 0.020000
Training Epoch: 11 [8960/46250]	Loss: 0.3565	LR: 0.020000
Training Epoch: 11 [9216/46250]	Loss: 0.4242	LR: 0.020000
Training Epoch: 11 [9472/46250]	Loss: 0.3628	LR: 0.020000
Training Epoch: 11 [9728/46250]	Loss: 0.2997	LR: 0.020000
Training Epoch: 11 [9984/46250]	Loss: 0.3520	LR: 0.020000
Training Epoch: 11 [10240/46250]	Loss: 0.3785	LR: 0.020000
Training Epoch: 11 [10496/46250]	Loss: 0.4347	LR: 0.020000
Training Epoch: 11 [10752/46250]	Loss: 0.3460	LR: 0.020000
Training Epoch: 11 [11008/46250]	Loss: 0.3182	LR: 0.020000
Training Epoch: 11 [11264/46250]	Loss: 0.3575	LR: 0.020000
Training Epoch: 11 [11520/46250]	Loss: 0.3791	LR: 0.020000
Training Epoch: 11 [11776/46250]	Loss: 0.4153	LR: 0.020000
Training Epoch: 11 [12032/46250]	Loss: 0.3070	LR: 0.020000
Training Epoch: 11 [12288/46250]	Loss: 0.3518	LR: 0.020000
Training Epoch: 11 [12544/46250]	Loss: 0.3865	LR: 0.020000
Training Epoch: 11 [12800/46250]	Loss: 0.3540	LR: 0.020000
Training Epoch: 11 [13056/46250]	Loss: 0.3813	LR: 0.020000
Training Epoch: 11 [13312/46250]	Loss: 0.3836	LR: 0.020000
Training Epoch: 11 [13568/46250]	Loss: 0.4472	LR: 0.020000
Training Epoch: 11 [13824/46250]	Loss: 0.3791	LR: 0.020000
Training Epoch: 11 [14080/46250]	Loss: 0.3783	LR: 0.020000
Training Epoch: 11 [14336/46250]	Loss: 0.4914	LR: 0.020000
Training Epoch: 11 [14592/46250]	Loss: 0.3553	LR: 0.020000
Training Epoch: 11 [14848/46250]	Loss: 0.4107	LR: 0.020000
Training Epoch: 11 [15104/46250]	Loss: 0.3954	LR: 0.020000
Training Epoch: 11 [15360/46250]	Loss: 0.3572	LR: 0.020000
Training Epoch: 11 [15616/46250]	Loss: 0.3114	LR: 0.020000
Training Epoch: 11 [15872/46250]	Loss: 0.3282	LR: 0.020000
Training Epoch: 11 [16128/46250]	Loss: 0.3935	LR: 0.020000
Training Epoch: 11 [16384/46250]	Loss: 0.3201	LR: 0.020000
Training Epoch: 11 [16640/46250]	Loss: 0.3150	LR: 0.020000
Training Epoch: 11 [16896/46250]	Loss: 0.3031	LR: 0.020000
Training Epoch: 11 [17152/46250]	Loss: 0.4363	LR: 0.020000
Training Epoch: 11 [17408/46250]	Loss: 0.4410	LR: 0.020000
Training Epoch: 11 [17664/46250]	Loss: 0.3390	LR: 0.020000
Training Epoch: 11 [17920/46250]	Loss: 0.3742	LR: 0.020000
Training Epoch: 11 [18176/46250]	Loss: 0.3482	LR: 0.020000
Training Epoch: 11 [18432/46250]	Loss: 0.5145	LR: 0.020000
Training Epoch: 11 [18688/46250]	Loss: 0.3715	LR: 0.020000
Training Epoch: 11 [18944/46250]	Loss: 0.3751	LR: 0.020000
Training Epoch: 11 [19200/46250]	Loss: 0.2856	LR: 0.020000
Training Epoch: 11 [19456/46250]	Loss: 0.3769	LR: 0.020000
Training Epoch: 11 [19712/46250]	Loss: 0.3372	LR: 0.020000
Training Epoch: 11 [19968/46250]	Loss: 0.4166	LR: 0.020000
Training Epoch: 11 [20224/46250]	Loss: 0.3775	LR: 0.020000
Training Epoch: 11 [20480/46250]	Loss: 0.4592	LR: 0.020000
Training Epoch: 11 [20736/46250]	Loss: 0.2717	LR: 0.020000
Training Epoch: 11 [20992/46250]	Loss: 0.3932	LR: 0.020000
Training Epoch: 11 [21248/46250]	Loss: 0.3463	LR: 0.020000
Training Epoch: 11 [21504/46250]	Loss: 0.3757	LR: 0.020000
Training Epoch: 11 [21760/46250]	Loss: 0.3698	LR: 0.020000
Training Epoch: 11 [22016/46250]	Loss: 0.4564	LR: 0.020000
Training Epoch: 11 [22272/46250]	Loss: 0.2854	LR: 0.020000
Training Epoch: 11 [22528/46250]	Loss: 0.3734	LR: 0.020000
Training Epoch: 11 [22784/46250]	Loss: 0.4253	LR: 0.020000
Training Epoch: 11 [23040/46250]	Loss: 0.3585	LR: 0.020000
Training Epoch: 11 [23296/46250]	Loss: 0.3158	LR: 0.020000
Training Epoch: 11 [23552/46250]	Loss: 0.3632	LR: 0.020000
Training Epoch: 11 [23808/46250]	Loss: 0.3592	LR: 0.020000
Training Epoch: 11 [24064/46250]	Loss: 0.3718	LR: 0.020000
Training Epoch: 11 [24320/46250]	Loss: 0.3592	LR: 0.020000
Training Epoch: 11 [24576/46250]	Loss: 0.4369	LR: 0.020000
Training Epoch: 11 [24832/46250]	Loss: 0.3621	LR: 0.020000
Training Epoch: 11 [25088/46250]	Loss: 0.3537	LR: 0.020000
Training Epoch: 11 [25344/46250]	Loss: 0.3144	LR: 0.020000
Training Epoch: 11 [25600/46250]	Loss: 0.2636	LR: 0.020000
Training Epoch: 11 [25856/46250]	Loss: 0.2858	LR: 0.020000
Training Epoch: 11 [26112/46250]	Loss: 0.4289	LR: 0.020000
Training Epoch: 11 [26368/46250]	Loss: 0.3699	LR: 0.020000
Training Epoch: 11 [26624/46250]	Loss: 0.3595	LR: 0.020000
Training Epoch: 11 [26880/46250]	Loss: 0.3827	LR: 0.020000
Training Epoch: 11 [27136/46250]	Loss: 0.3378	LR: 0.020000
Training Epoch: 11 [27392/46250]	Loss: 0.3722	LR: 0.020000
Training Epoch: 11 [27648/46250]	Loss: 0.4079	LR: 0.020000
Training Epoch: 11 [27904/46250]	Loss: 0.3402	LR: 0.020000
Training Epoch: 11 [28160/46250]	Loss: 0.3453	LR: 0.020000
Training Epoch: 11 [28416/46250]	Loss: 0.3387	LR: 0.020000
Training Epoch: 11 [28672/46250]	Loss: 0.3064	LR: 0.020000
Training Epoch: 11 [28928/46250]	Loss: 0.4094	LR: 0.020000
Training Epoch: 11 [29184/46250]	Loss: 0.3923	LR: 0.020000
Training Epoch: 11 [29440/46250]	Loss: 0.3274	LR: 0.020000
Training Epoch: 11 [29696/46250]	Loss: 0.4221	LR: 0.020000
Training Epoch: 11 [29952/46250]	Loss: 0.3580	LR: 0.020000
Training Epoch: 11 [30208/46250]	Loss: 0.4289	LR: 0.020000
Training Epoch: 11 [30464/46250]	Loss: 0.3286	LR: 0.020000
Training Epoch: 11 [30720/46250]	Loss: 0.3270	LR: 0.020000
Training Epoch: 11 [30976/46250]	Loss: 0.4286	LR: 0.020000
Training Epoch: 11 [31232/46250]	Loss: 0.3734	LR: 0.020000
Training Epoch: 11 [31488/46250]	Loss: 0.3359	LR: 0.020000
Training Epoch: 11 [31744/46250]	Loss: 0.3662	LR: 0.020000
Training Epoch: 11 [32000/46250]	Loss: 0.3470	LR: 0.020000
Training Epoch: 11 [32256/46250]	Loss: 0.3167	LR: 0.020000
Training Epoch: 11 [32512/46250]	Loss: 0.3567	LR: 0.020000
Training Epoch: 11 [32768/46250]	Loss: 0.3892	LR: 0.020000
Training Epoch: 11 [33024/46250]	Loss: 0.3598	LR: 0.020000
Training Epoch: 11 [33280/46250]	Loss: 0.4960	LR: 0.020000
Training Epoch: 11 [33536/46250]	Loss: 0.3621	LR: 0.020000
Training Epoch: 11 [33792/46250]	Loss: 0.3193	LR: 0.020000
Training Epoch: 11 [34048/46250]	Loss: 0.3557	LR: 0.020000
Training Epoch: 11 [34304/46250]	Loss: 0.2994	LR: 0.020000
Training Epoch: 11 [34560/46250]	Loss: 0.4601	LR: 0.020000
Training Epoch: 11 [34816/46250]	Loss: 0.3431	LR: 0.020000
Training Epoch: 11 [35072/46250]	Loss: 0.4747	LR: 0.020000
Training Epoch: 11 [35328/46250]	Loss: 0.3970	LR: 0.020000
Training Epoch: 11 [35584/46250]	Loss: 0.3753	LR: 0.020000
Training Epoch: 11 [35840/46250]	Loss: 0.4768	LR: 0.020000
Training Epoch: 11 [36096/46250]	Loss: 0.3619	LR: 0.020000
Training Epoch: 11 [36352/46250]	Loss: 0.3316	LR: 0.020000
Training Epoch: 11 [36608/46250]	Loss: 0.3945	LR: 0.020000
Training Epoch: 11 [36864/46250]	Loss: 0.4673	LR: 0.020000
Training Epoch: 11 [37120/46250]	Loss: 0.3782	LR: 0.020000
Training Epoch: 11 [37376/46250]	Loss: 0.3721	LR: 0.020000
Training Epoch: 11 [37632/46250]	Loss: 0.4794	LR: 0.020000
Training Epoch: 11 [37888/46250]	Loss: 0.3601	LR: 0.020000
Training Epoch: 11 [38144/46250]	Loss: 0.3132	LR: 0.020000
Training Epoch: 11 [38400/46250]	Loss: 0.3692	LR: 0.020000
Training Epoch: 11 [38656/46250]	Loss: 0.3806	LR: 0.020000
Training Epoch: 11 [38912/46250]	Loss: 0.3949	LR: 0.020000
Training Epoch: 11 [39168/46250]	Loss: 0.3235	LR: 0.020000
Training Epoch: 11 [39424/46250]	Loss: 0.3322	LR: 0.020000
Training Epoch: 11 [39680/46250]	Loss: 0.3005	LR: 0.020000
Training Epoch: 11 [39936/46250]	Loss: 0.4244	LR: 0.020000
Training Epoch: 11 [40192/46250]	Loss: 0.3372	LR: 0.020000
Training Epoch: 11 [40448/46250]	Loss: 0.4274	LR: 0.020000
Training Epoch: 11 [40704/46250]	Loss: 0.4278	LR: 0.020000
Training Epoch: 11 [40960/46250]	Loss: 0.3747	LR: 0.020000
Training Epoch: 11 [41216/46250]	Loss: 0.3941	LR: 0.020000
Training Epoch: 11 [41472/46250]	Loss: 0.3576	LR: 0.020000
Training Epoch: 11 [41728/46250]	Loss: 0.4335	LR: 0.020000
Training Epoch: 11 [41984/46250]	Loss: 0.3556	LR: 0.020000
Training Epoch: 11 [42240/46250]	Loss: 0.3912	LR: 0.020000
Training Epoch: 11 [42496/46250]	Loss: 0.3497	LR: 0.020000
Training Epoch: 11 [42752/46250]	Loss: 0.3867	LR: 0.020000
Training Epoch: 11 [43008/46250]	Loss: 0.4147	LR: 0.020000
Training Epoch: 11 [43264/46250]	Loss: 0.3745	LR: 0.020000
Training Epoch: 11 [43520/46250]	Loss: 0.3082	LR: 0.020000
Training Epoch: 11 [43776/46250]	Loss: 0.3109	LR: 0.020000
Training Epoch: 11 [44032/46250]	Loss: 0.4201	LR: 0.020000
Training Epoch: 11 [44288/46250]	Loss: 0.3327	LR: 0.020000
Training Epoch: 11 [44544/46250]	Loss: 0.3878	LR: 0.020000
Training Epoch: 11 [44800/46250]	Loss: 0.3978	LR: 0.020000
Training Epoch: 11 [45056/46250]	Loss: 0.4061	LR: 0.020000
Training Epoch: 11 [45312/46250]	Loss: 0.4417	LR: 0.020000
Training Epoch: 11 [45568/46250]	Loss: 0.2941	LR: 0.020000
Training Epoch: 11 [45824/46250]	Loss: 0.3136	LR: 0.020000
Training Epoch: 11 [46080/46250]	Loss: 0.4394	LR: 0.020000
Training Epoch: 11 [46250/46250]	Loss: 0.5000	LR: 0.020000
Epoch 11 - Average Train Loss: 0.3718, Train Accuracy: 0.8709
Epoch 11 training time consumed: 28.09s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0016, Accuracy: 0.8659, Time consumed:0.93s
Training Epoch: 12 [256/46250]	Loss: 0.3216	LR: 0.004000
Training Epoch: 12 [512/46250]	Loss: 0.3804	LR: 0.004000
Training Epoch: 12 [768/46250]	Loss: 0.4092	LR: 0.004000
Training Epoch: 12 [1024/46250]	Loss: 0.3620	LR: 0.004000
Training Epoch: 12 [1280/46250]	Loss: 0.4097	LR: 0.004000
Training Epoch: 12 [1536/46250]	Loss: 0.3643	LR: 0.004000
Training Epoch: 12 [1792/46250]	Loss: 0.2779	LR: 0.004000
Training Epoch: 12 [2048/46250]	Loss: 0.4339	LR: 0.004000
Training Epoch: 12 [2304/46250]	Loss: 0.2786	LR: 0.004000
Training Epoch: 12 [2560/46250]	Loss: 0.3470	LR: 0.004000
Training Epoch: 12 [2816/46250]	Loss: 0.3918	LR: 0.004000
Training Epoch: 12 [3072/46250]	Loss: 0.2855	LR: 0.004000
Training Epoch: 12 [3328/46250]	Loss: 0.3318	LR: 0.004000
Training Epoch: 12 [3584/46250]	Loss: 0.3170	LR: 0.004000
Training Epoch: 12 [3840/46250]	Loss: 0.3177	LR: 0.004000
Training Epoch: 12 [4096/46250]	Loss: 0.3313	LR: 0.004000
Training Epoch: 12 [4352/46250]	Loss: 0.3654	LR: 0.004000
Training Epoch: 12 [4608/46250]	Loss: 0.3508	LR: 0.004000
Training Epoch: 12 [4864/46250]	Loss: 0.3516	LR: 0.004000
Training Epoch: 12 [5120/46250]	Loss: 0.2901	LR: 0.004000
Training Epoch: 12 [5376/46250]	Loss: 0.3095	LR: 0.004000
Training Epoch: 12 [5632/46250]	Loss: 0.2767	LR: 0.004000
Training Epoch: 12 [5888/46250]	Loss: 0.3311	LR: 0.004000
Training Epoch: 12 [6144/46250]	Loss: 0.3557	LR: 0.004000
Training Epoch: 12 [6400/46250]	Loss: 0.2945	LR: 0.004000
Training Epoch: 12 [6656/46250]	Loss: 0.3584	LR: 0.004000
Training Epoch: 12 [6912/46250]	Loss: 0.3814	LR: 0.004000
Training Epoch: 12 [7168/46250]	Loss: 0.2864	LR: 0.004000
Training Epoch: 12 [7424/46250]	Loss: 0.2741	LR: 0.004000
Training Epoch: 12 [7680/46250]	Loss: 0.2846	LR: 0.004000
Training Epoch: 12 [7936/46250]	Loss: 0.3550	LR: 0.004000
Training Epoch: 12 [8192/46250]	Loss: 0.3971	LR: 0.004000
Training Epoch: 12 [8448/46250]	Loss: 0.4083	LR: 0.004000
Training Epoch: 12 [8704/46250]	Loss: 0.2992	LR: 0.004000
Training Epoch: 12 [8960/46250]	Loss: 0.3320	LR: 0.004000
Training Epoch: 12 [9216/46250]	Loss: 0.3053	LR: 0.004000
Training Epoch: 12 [9472/46250]	Loss: 0.3477	LR: 0.004000
Training Epoch: 12 [9728/46250]	Loss: 0.3534	LR: 0.004000
Training Epoch: 12 [9984/46250]	Loss: 0.3833	LR: 0.004000
Training Epoch: 12 [10240/46250]	Loss: 0.3326	LR: 0.004000
Training Epoch: 12 [10496/46250]	Loss: 0.3663	LR: 0.004000
Training Epoch: 12 [10752/46250]	Loss: 0.3314	LR: 0.004000
Training Epoch: 12 [11008/46250]	Loss: 0.3139	LR: 0.004000
Training Epoch: 12 [11264/46250]	Loss: 0.3287	LR: 0.004000
Training Epoch: 12 [11520/46250]	Loss: 0.3436	LR: 0.004000
Training Epoch: 12 [11776/46250]	Loss: 0.2936	LR: 0.004000
Training Epoch: 12 [12032/46250]	Loss: 0.3273	LR: 0.004000
Training Epoch: 12 [12288/46250]	Loss: 0.2794	LR: 0.004000
Training Epoch: 12 [12544/46250]	Loss: 0.3822	LR: 0.004000
Training Epoch: 12 [12800/46250]	Loss: 0.3354	LR: 0.004000
Training Epoch: 12 [13056/46250]	Loss: 0.3779	LR: 0.004000
Training Epoch: 12 [13312/46250]	Loss: 0.3073	LR: 0.004000
Training Epoch: 12 [13568/46250]	Loss: 0.2568	LR: 0.004000
Training Epoch: 12 [13824/46250]	Loss: 0.2377	LR: 0.004000
Training Epoch: 12 [14080/46250]	Loss: 0.3474	LR: 0.004000
Training Epoch: 12 [14336/46250]	Loss: 0.2002	LR: 0.004000
Training Epoch: 12 [14592/46250]	Loss: 0.4033	LR: 0.004000
Training Epoch: 12 [14848/46250]	Loss: 0.3520	LR: 0.004000
Training Epoch: 12 [15104/46250]	Loss: 0.2694	LR: 0.004000
Training Epoch: 12 [15360/46250]	Loss: 0.3404	LR: 0.004000
Training Epoch: 12 [15616/46250]	Loss: 0.3485	LR: 0.004000
Training Epoch: 12 [15872/46250]	Loss: 0.3837	LR: 0.004000
Training Epoch: 12 [16128/46250]	Loss: 0.4273	LR: 0.004000
Training Epoch: 12 [16384/46250]	Loss: 0.3274	LR: 0.004000
Training Epoch: 12 [16640/46250]	Loss: 0.2598	LR: 0.004000
Training Epoch: 12 [16896/46250]	Loss: 0.3590	LR: 0.004000
Training Epoch: 12 [17152/46250]	Loss: 0.3144	LR: 0.004000
Training Epoch: 12 [17408/46250]	Loss: 0.3172	LR: 0.004000
Training Epoch: 12 [17664/46250]	Loss: 0.2681	LR: 0.004000
Training Epoch: 12 [17920/46250]	Loss: 0.3392	LR: 0.004000
Training Epoch: 12 [18176/46250]	Loss: 0.3551	LR: 0.004000
Training Epoch: 12 [18432/46250]	Loss: 0.3167	LR: 0.004000
Training Epoch: 12 [18688/46250]	Loss: 0.3533	LR: 0.004000
Training Epoch: 12 [18944/46250]	Loss: 0.3958	LR: 0.004000
Training Epoch: 12 [19200/46250]	Loss: 0.3047	LR: 0.004000
Training Epoch: 12 [19456/46250]	Loss: 0.3189	LR: 0.004000
Training Epoch: 12 [19712/46250]	Loss: 0.3282	LR: 0.004000
Training Epoch: 12 [19968/46250]	Loss: 0.3884	LR: 0.004000
Training Epoch: 12 [20224/46250]	Loss: 0.3801	LR: 0.004000
Training Epoch: 12 [20480/46250]	Loss: 0.2930	LR: 0.004000
Training Epoch: 12 [20736/46250]	Loss: 0.3264	LR: 0.004000
Training Epoch: 12 [20992/46250]	Loss: 0.3469	LR: 0.004000
Training Epoch: 12 [21248/46250]	Loss: 0.2729	LR: 0.004000
Training Epoch: 12 [21504/46250]	Loss: 0.3093	LR: 0.004000
Training Epoch: 12 [21760/46250]	Loss: 0.3865	LR: 0.004000
Training Epoch: 12 [22016/46250]	Loss: 0.3210	LR: 0.004000
Training Epoch: 12 [22272/46250]	Loss: 0.4203	LR: 0.004000
Training Epoch: 12 [22528/46250]	Loss: 0.2915	LR: 0.004000
Training Epoch: 12 [22784/46250]	Loss: 0.2691	LR: 0.004000
Training Epoch: 12 [23040/46250]	Loss: 0.2892	LR: 0.004000
Training Epoch: 12 [23296/46250]	Loss: 0.2766	LR: 0.004000
Training Epoch: 12 [23552/46250]	Loss: 0.3224	LR: 0.004000
Training Epoch: 12 [23808/46250]	Loss: 0.3950	LR: 0.004000
Training Epoch: 12 [24064/46250]	Loss: 0.3783	LR: 0.004000
Training Epoch: 12 [24320/46250]	Loss: 0.2566	LR: 0.004000
Training Epoch: 12 [24576/46250]	Loss: 0.3481	LR: 0.004000
Training Epoch: 12 [24832/46250]	Loss: 0.3035	LR: 0.004000
Training Epoch: 12 [25088/46250]	Loss: 0.3771	LR: 0.004000
Training Epoch: 12 [25344/46250]	Loss: 0.3414	LR: 0.004000
Training Epoch: 12 [25600/46250]	Loss: 0.2871	LR: 0.004000
Training Epoch: 12 [25856/46250]	Loss: 0.3039	LR: 0.004000
Training Epoch: 12 [26112/46250]	Loss: 0.3385	LR: 0.004000
Training Epoch: 12 [26368/46250]	Loss: 0.4635	LR: 0.004000
Training Epoch: 12 [26624/46250]	Loss: 0.3907	LR: 0.004000
Training Epoch: 12 [26880/46250]	Loss: 0.3010	LR: 0.004000
Training Epoch: 12 [27136/46250]	Loss: 0.2750	LR: 0.004000
Training Epoch: 12 [27392/46250]	Loss: 0.2969	LR: 0.004000
Training Epoch: 12 [27648/46250]	Loss: 0.3111	LR: 0.004000
Training Epoch: 12 [27904/46250]	Loss: 0.2888	LR: 0.004000
Training Epoch: 12 [28160/46250]	Loss: 0.3418	LR: 0.004000
Training Epoch: 12 [28416/46250]	Loss: 0.3276	LR: 0.004000
Training Epoch: 12 [28672/46250]	Loss: 0.2857	LR: 0.004000
Training Epoch: 12 [28928/46250]	Loss: 0.3428	LR: 0.004000
Training Epoch: 12 [29184/46250]	Loss: 0.3252	LR: 0.004000
Training Epoch: 12 [29440/46250]	Loss: 0.2999	LR: 0.004000
Training Epoch: 12 [29696/46250]	Loss: 0.2710	LR: 0.004000
Training Epoch: 12 [29952/46250]	Loss: 0.2612	LR: 0.004000
Training Epoch: 12 [30208/46250]	Loss: 0.4086	LR: 0.004000
Training Epoch: 12 [30464/46250]	Loss: 0.3030	LR: 0.004000
Training Epoch: 12 [30720/46250]	Loss: 0.2806	LR: 0.004000
Training Epoch: 12 [30976/46250]	Loss: 0.3584	LR: 0.004000
Training Epoch: 12 [31232/46250]	Loss: 0.2655	LR: 0.004000
Training Epoch: 12 [31488/46250]	Loss: 0.2921	LR: 0.004000
Training Epoch: 12 [31744/46250]	Loss: 0.3025	LR: 0.004000
Training Epoch: 12 [32000/46250]	Loss: 0.3420	LR: 0.004000
Training Epoch: 12 [32256/46250]	Loss: 0.3008	LR: 0.004000
Training Epoch: 12 [32512/46250]	Loss: 0.3334	LR: 0.004000
Training Epoch: 12 [32768/46250]	Loss: 0.3280	LR: 0.004000
Training Epoch: 12 [33024/46250]	Loss: 0.3163	LR: 0.004000
Training Epoch: 12 [33280/46250]	Loss: 0.3699	LR: 0.004000
Training Epoch: 12 [33536/46250]	Loss: 0.3438	LR: 0.004000
Training Epoch: 12 [33792/46250]	Loss: 0.3338	LR: 0.004000
Training Epoch: 12 [34048/46250]	Loss: 0.3820	LR: 0.004000
Training Epoch: 12 [34304/46250]	Loss: 0.3040	LR: 0.004000
Training Epoch: 12 [34560/46250]	Loss: 0.3000	LR: 0.004000
Training Epoch: 12 [34816/46250]	Loss: 0.3790	LR: 0.004000
Training Epoch: 12 [35072/46250]	Loss: 0.3091	LR: 0.004000
Training Epoch: 12 [35328/46250]	Loss: 0.3200	LR: 0.004000
Training Epoch: 12 [35584/46250]	Loss: 0.3921	LR: 0.004000
Training Epoch: 12 [35840/46250]	Loss: 0.3701	LR: 0.004000
Training Epoch: 12 [36096/46250]	Loss: 0.3816	LR: 0.004000
Training Epoch: 12 [36352/46250]	Loss: 0.3234	LR: 0.004000
Training Epoch: 12 [36608/46250]	Loss: 0.2892	LR: 0.004000
Training Epoch: 12 [36864/46250]	Loss: 0.3263	LR: 0.004000
Training Epoch: 12 [37120/46250]	Loss: 0.3276	LR: 0.004000
Training Epoch: 12 [37376/46250]	Loss: 0.2788	LR: 0.004000
Training Epoch: 12 [37632/46250]	Loss: 0.3243	LR: 0.004000
Training Epoch: 12 [37888/46250]	Loss: 0.3085	LR: 0.004000
Training Epoch: 12 [38144/46250]	Loss: 0.2227	LR: 0.004000
Training Epoch: 12 [38400/46250]	Loss: 0.3440	LR: 0.004000
Training Epoch: 12 [38656/46250]	Loss: 0.3109	LR: 0.004000
Training Epoch: 12 [38912/46250]	Loss: 0.4309	LR: 0.004000
Training Epoch: 12 [39168/46250]	Loss: 0.3671	LR: 0.004000
Training Epoch: 12 [39424/46250]	Loss: 0.2424	LR: 0.004000
Training Epoch: 12 [39680/46250]	Loss: 0.3210	LR: 0.004000
Training Epoch: 12 [39936/46250]	Loss: 0.3188	LR: 0.004000
Training Epoch: 12 [40192/46250]	Loss: 0.2430	LR: 0.004000
Training Epoch: 12 [40448/46250]	Loss: 0.2957	LR: 0.004000
Training Epoch: 12 [40704/46250]	Loss: 0.4176	LR: 0.004000
Training Epoch: 12 [40960/46250]	Loss: 0.3167	LR: 0.004000
Training Epoch: 12 [41216/46250]	Loss: 0.3101	LR: 0.004000
Training Epoch: 12 [41472/46250]	Loss: 0.3493	LR: 0.004000
Training Epoch: 12 [41728/46250]	Loss: 0.2628	LR: 0.004000
Training Epoch: 12 [41984/46250]	Loss: 0.2837	LR: 0.004000
Training Epoch: 12 [42240/46250]	Loss: 0.3171	LR: 0.004000
Training Epoch: 12 [42496/46250]	Loss: 0.3977	LR: 0.004000
Training Epoch: 12 [42752/46250]	Loss: 0.3590	LR: 0.004000
Training Epoch: 12 [43008/46250]	Loss: 0.3152	LR: 0.004000
Training Epoch: 12 [43264/46250]	Loss: 0.3619	LR: 0.004000
Training Epoch: 12 [43520/46250]	Loss: 0.2727	LR: 0.004000
Training Epoch: 12 [43776/46250]	Loss: 0.3325	LR: 0.004000
Training Epoch: 12 [44032/46250]	Loss: 0.3258	LR: 0.004000
Training Epoch: 12 [44288/46250]	Loss: 0.3134	LR: 0.004000
Training Epoch: 12 [44544/46250]	Loss: 0.2954	LR: 0.004000
Training Epoch: 12 [44800/46250]	Loss: 0.2675	LR: 0.004000
Training Epoch: 12 [45056/46250]	Loss: 0.3184	LR: 0.004000
Training Epoch: 12 [45312/46250]	Loss: 0.3315	LR: 0.004000
Training Epoch: 12 [45568/46250]	Loss: 0.2970	LR: 0.004000
Training Epoch: 12 [45824/46250]	Loss: 0.3678	LR: 0.004000
Training Epoch: 12 [46080/46250]	Loss: 0.3986	LR: 0.004000
Training Epoch: 12 [46250/46250]	Loss: 0.2870	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3288, Train Accuracy: 0.8838
Epoch 12 training time consumed: 27.96s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0014, Accuracy: 0.8829, Time consumed:0.98s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_07h_44m_59s/ResNet18-Cifar10-seed6-ret25-12-best.pth
Training Epoch: 13 [256/46250]	Loss: 0.2951	LR: 0.004000
Training Epoch: 13 [512/46250]	Loss: 0.3151	LR: 0.004000
Training Epoch: 13 [768/46250]	Loss: 0.3042	LR: 0.004000
Training Epoch: 13 [1024/46250]	Loss: 0.3035	LR: 0.004000
Training Epoch: 13 [1280/46250]	Loss: 0.2408	LR: 0.004000
Training Epoch: 13 [1536/46250]	Loss: 0.2968	LR: 0.004000
Training Epoch: 13 [1792/46250]	Loss: 0.2637	LR: 0.004000
Training Epoch: 13 [2048/46250]	Loss: 0.4159	LR: 0.004000
Training Epoch: 13 [2304/46250]	Loss: 0.3192	LR: 0.004000
Training Epoch: 13 [2560/46250]	Loss: 0.2691	LR: 0.004000
Training Epoch: 13 [2816/46250]	Loss: 0.3015	LR: 0.004000
Training Epoch: 13 [3072/46250]	Loss: 0.2725	LR: 0.004000
Training Epoch: 13 [3328/46250]	Loss: 0.3478	LR: 0.004000
Training Epoch: 13 [3584/46250]	Loss: 0.2939	LR: 0.004000
Training Epoch: 13 [3840/46250]	Loss: 0.2984	LR: 0.004000
Training Epoch: 13 [4096/46250]	Loss: 0.2857	LR: 0.004000
Training Epoch: 13 [4352/46250]	Loss: 0.3002	LR: 0.004000
Training Epoch: 13 [4608/46250]	Loss: 0.3240	LR: 0.004000
Training Epoch: 13 [4864/46250]	Loss: 0.2923	LR: 0.004000
Training Epoch: 13 [5120/46250]	Loss: 0.2051	LR: 0.004000
Training Epoch: 13 [5376/46250]	Loss: 0.2931	LR: 0.004000
Training Epoch: 13 [5632/46250]	Loss: 0.2228	LR: 0.004000
Training Epoch: 13 [5888/46250]	Loss: 0.3121	LR: 0.004000
Training Epoch: 13 [6144/46250]	Loss: 0.2960	LR: 0.004000
Training Epoch: 13 [6400/46250]	Loss: 0.3133	LR: 0.004000
Training Epoch: 13 [6656/46250]	Loss: 0.3416	LR: 0.004000
Training Epoch: 13 [6912/46250]	Loss: 0.3136	LR: 0.004000
Training Epoch: 13 [7168/46250]	Loss: 0.2936	LR: 0.004000
Training Epoch: 13 [7424/46250]	Loss: 0.4073	LR: 0.004000
Training Epoch: 13 [7680/46250]	Loss: 0.2423	LR: 0.004000
Training Epoch: 13 [7936/46250]	Loss: 0.3161	LR: 0.004000
Training Epoch: 13 [8192/46250]	Loss: 0.3310	LR: 0.004000
Training Epoch: 13 [8448/46250]	Loss: 0.2250	LR: 0.004000
Training Epoch: 13 [8704/46250]	Loss: 0.2801	LR: 0.004000
Training Epoch: 13 [8960/46250]	Loss: 0.2360	LR: 0.004000
Training Epoch: 13 [9216/46250]	Loss: 0.3584	LR: 0.004000
Training Epoch: 13 [9472/46250]	Loss: 0.3417	LR: 0.004000
Training Epoch: 13 [9728/46250]	Loss: 0.3375	LR: 0.004000
Training Epoch: 13 [9984/46250]	Loss: 0.3343	LR: 0.004000
Training Epoch: 13 [10240/46250]	Loss: 0.3167	LR: 0.004000
Training Epoch: 13 [10496/46250]	Loss: 0.2524	LR: 0.004000
Training Epoch: 13 [10752/46250]	Loss: 0.3498	LR: 0.004000
Training Epoch: 13 [11008/46250]	Loss: 0.2958	LR: 0.004000
Training Epoch: 13 [11264/46250]	Loss: 0.3083	LR: 0.004000
Training Epoch: 13 [11520/46250]	Loss: 0.2783	LR: 0.004000
Training Epoch: 13 [11776/46250]	Loss: 0.3372	LR: 0.004000
Training Epoch: 13 [12032/46250]	Loss: 0.3021	LR: 0.004000
Training Epoch: 13 [12288/46250]	Loss: 0.3101	LR: 0.004000
Training Epoch: 13 [12544/46250]	Loss: 0.3485	LR: 0.004000
Training Epoch: 13 [12800/46250]	Loss: 0.2138	LR: 0.004000
Training Epoch: 13 [13056/46250]	Loss: 0.2880	LR: 0.004000
Training Epoch: 13 [13312/46250]	Loss: 0.2923	LR: 0.004000
Training Epoch: 13 [13568/46250]	Loss: 0.3340	LR: 0.004000
Training Epoch: 13 [13824/46250]	Loss: 0.3266	LR: 0.004000
Training Epoch: 13 [14080/46250]	Loss: 0.2023	LR: 0.004000
Training Epoch: 13 [14336/46250]	Loss: 0.2929	LR: 0.004000
Training Epoch: 13 [14592/46250]	Loss: 0.3248	LR: 0.004000
Training Epoch: 13 [14848/46250]	Loss: 0.3287	LR: 0.004000
Training Epoch: 13 [15104/46250]	Loss: 0.2941	LR: 0.004000
Training Epoch: 13 [15360/46250]	Loss: 0.2384	LR: 0.004000
Training Epoch: 13 [15616/46250]	Loss: 0.2753	LR: 0.004000
Training Epoch: 13 [15872/46250]	Loss: 0.3241	LR: 0.004000
Training Epoch: 13 [16128/46250]	Loss: 0.2807	LR: 0.004000
Training Epoch: 13 [16384/46250]	Loss: 0.2931	LR: 0.004000
Training Epoch: 13 [16640/46250]	Loss: 0.3265	LR: 0.004000
Training Epoch: 13 [16896/46250]	Loss: 0.2374	LR: 0.004000
Training Epoch: 13 [17152/46250]	Loss: 0.3287	LR: 0.004000
Training Epoch: 13 [17408/46250]	Loss: 0.3399	LR: 0.004000
Training Epoch: 13 [17664/46250]	Loss: 0.4110	LR: 0.004000
Training Epoch: 13 [17920/46250]	Loss: 0.3128	LR: 0.004000
Training Epoch: 13 [18176/46250]	Loss: 0.2911	LR: 0.004000
Training Epoch: 13 [18432/46250]	Loss: 0.4086	LR: 0.004000
Training Epoch: 13 [18688/46250]	Loss: 0.2684	LR: 0.004000
Training Epoch: 13 [18944/46250]	Loss: 0.2776	LR: 0.004000
Training Epoch: 13 [19200/46250]	Loss: 0.2765	LR: 0.004000
Training Epoch: 13 [19456/46250]	Loss: 0.4556	LR: 0.004000
Training Epoch: 13 [19712/46250]	Loss: 0.2377	LR: 0.004000
Training Epoch: 13 [19968/46250]	Loss: 0.3145	LR: 0.004000
Training Epoch: 13 [20224/46250]	Loss: 0.2673	LR: 0.004000
Training Epoch: 13 [20480/46250]	Loss: 0.3272	LR: 0.004000
Training Epoch: 13 [20736/46250]	Loss: 0.3561	LR: 0.004000
Training Epoch: 13 [20992/46250]	Loss: 0.3300	LR: 0.004000
Training Epoch: 13 [21248/46250]	Loss: 0.3541	LR: 0.004000
Training Epoch: 13 [21504/46250]	Loss: 0.2317	LR: 0.004000
Training Epoch: 13 [21760/46250]	Loss: 0.2900	LR: 0.004000
Training Epoch: 13 [22016/46250]	Loss: 0.2956	LR: 0.004000
Training Epoch: 13 [22272/46250]	Loss: 0.3074	LR: 0.004000
Training Epoch: 13 [22528/46250]	Loss: 0.3009	LR: 0.004000
Training Epoch: 13 [22784/46250]	Loss: 0.2839	LR: 0.004000
Training Epoch: 13 [23040/46250]	Loss: 0.2767	LR: 0.004000
Training Epoch: 13 [23296/46250]	Loss: 0.2991	LR: 0.004000
Training Epoch: 13 [23552/46250]	Loss: 0.2773	LR: 0.004000
Training Epoch: 13 [23808/46250]	Loss: 0.3324	LR: 0.004000
Training Epoch: 13 [24064/46250]	Loss: 0.3792	LR: 0.004000
Training Epoch: 13 [24320/46250]	Loss: 0.4203	LR: 0.004000
Training Epoch: 13 [24576/46250]	Loss: 0.3909	LR: 0.004000
Training Epoch: 13 [24832/46250]	Loss: 0.3443	LR: 0.004000
Training Epoch: 13 [25088/46250]	Loss: 0.3202	LR: 0.004000
Training Epoch: 13 [25344/46250]	Loss: 0.2964	LR: 0.004000
Training Epoch: 13 [25600/46250]	Loss: 0.3497	LR: 0.004000
Training Epoch: 13 [25856/46250]	Loss: 0.2952	LR: 0.004000
Training Epoch: 13 [26112/46250]	Loss: 0.2790	LR: 0.004000
Training Epoch: 13 [26368/46250]	Loss: 0.3099	LR: 0.004000
Training Epoch: 13 [26624/46250]	Loss: 0.2713	LR: 0.004000
Training Epoch: 13 [26880/46250]	Loss: 0.2894	LR: 0.004000
Training Epoch: 13 [27136/46250]	Loss: 0.3646	LR: 0.004000
Training Epoch: 13 [27392/46250]	Loss: 0.3482	LR: 0.004000
Training Epoch: 13 [27648/46250]	Loss: 0.3003	LR: 0.004000
Training Epoch: 13 [27904/46250]	Loss: 0.4119	LR: 0.004000
Training Epoch: 13 [28160/46250]	Loss: 0.3172	LR: 0.004000
Training Epoch: 13 [28416/46250]	Loss: 0.3231	LR: 0.004000
Training Epoch: 13 [28672/46250]	Loss: 0.3889	LR: 0.004000
Training Epoch: 13 [28928/46250]	Loss: 0.2951	LR: 0.004000
Training Epoch: 13 [29184/46250]	Loss: 0.4105	LR: 0.004000
Training Epoch: 13 [29440/46250]	Loss: 0.3181	LR: 0.004000
Training Epoch: 13 [29696/46250]	Loss: 0.4104	LR: 0.004000
Training Epoch: 13 [29952/46250]	Loss: 0.3445	LR: 0.004000
Training Epoch: 13 [30208/46250]	Loss: 0.2879	LR: 0.004000
Training Epoch: 13 [30464/46250]	Loss: 0.2398	LR: 0.004000
Training Epoch: 13 [30720/46250]	Loss: 0.3223	LR: 0.004000
Training Epoch: 13 [30976/46250]	Loss: 0.3713	LR: 0.004000
Training Epoch: 13 [31232/46250]	Loss: 0.2519	LR: 0.004000
Training Epoch: 13 [31488/46250]	Loss: 0.3252	LR: 0.004000
Training Epoch: 13 [31744/46250]	Loss: 0.2346	LR: 0.004000
Training Epoch: 13 [32000/46250]	Loss: 0.4028	LR: 0.004000
Training Epoch: 13 [32256/46250]	Loss: 0.2542	LR: 0.004000
Training Epoch: 13 [32512/46250]	Loss: 0.2883	LR: 0.004000
Training Epoch: 13 [32768/46250]	Loss: 0.3021	LR: 0.004000
Training Epoch: 13 [33024/46250]	Loss: 0.2969	LR: 0.004000
Training Epoch: 13 [33280/46250]	Loss: 0.2944	LR: 0.004000
Training Epoch: 13 [33536/46250]	Loss: 0.3379	LR: 0.004000
Training Epoch: 13 [33792/46250]	Loss: 0.3292	LR: 0.004000
Training Epoch: 13 [34048/46250]	Loss: 0.3420	LR: 0.004000
Training Epoch: 13 [34304/46250]	Loss: 0.3677	LR: 0.004000
Training Epoch: 13 [34560/46250]	Loss: 0.2234	LR: 0.004000
Training Epoch: 13 [34816/46250]	Loss: 0.3067	LR: 0.004000
Training Epoch: 13 [35072/46250]	Loss: 0.3044	LR: 0.004000
Training Epoch: 13 [35328/46250]	Loss: 0.3153	LR: 0.004000
Training Epoch: 13 [35584/46250]	Loss: 0.2877	LR: 0.004000
Training Epoch: 13 [35840/46250]	Loss: 0.3378	LR: 0.004000
Training Epoch: 13 [36096/46250]	Loss: 0.3668	LR: 0.004000
Training Epoch: 13 [36352/46250]	Loss: 0.2456	LR: 0.004000
Training Epoch: 13 [36608/46250]	Loss: 0.2808	LR: 0.004000
Training Epoch: 13 [36864/46250]	Loss: 0.2687	LR: 0.004000
Training Epoch: 13 [37120/46250]	Loss: 0.4057	LR: 0.004000
Training Epoch: 13 [37376/46250]	Loss: 0.2719	LR: 0.004000
Training Epoch: 13 [37632/46250]	Loss: 0.3235	LR: 0.004000
Training Epoch: 13 [37888/46250]	Loss: 0.2875	LR: 0.004000
Training Epoch: 13 [38144/46250]	Loss: 0.3356	LR: 0.004000
Training Epoch: 13 [38400/46250]	Loss: 0.2702	LR: 0.004000
Training Epoch: 13 [38656/46250]	Loss: 0.2548	LR: 0.004000
Training Epoch: 13 [38912/46250]	Loss: 0.3377	LR: 0.004000
Training Epoch: 13 [39168/46250]	Loss: 0.3334	LR: 0.004000
Training Epoch: 13 [39424/46250]	Loss: 0.2953	LR: 0.004000
Training Epoch: 13 [39680/46250]	Loss: 0.2405	LR: 0.004000
Training Epoch: 13 [39936/46250]	Loss: 0.2929	LR: 0.004000
Training Epoch: 13 [40192/46250]	Loss: 0.2903	LR: 0.004000
Training Epoch: 13 [40448/46250]	Loss: 0.3805	LR: 0.004000
Training Epoch: 13 [40704/46250]	Loss: 0.2067	LR: 0.004000
Training Epoch: 13 [40960/46250]	Loss: 0.3365	LR: 0.004000
Training Epoch: 13 [41216/46250]	Loss: 0.3118	LR: 0.004000
Training Epoch: 13 [41472/46250]	Loss: 0.2774	LR: 0.004000
Training Epoch: 13 [41728/46250]	Loss: 0.2934	LR: 0.004000
Training Epoch: 13 [41984/46250]	Loss: 0.3449	LR: 0.004000
Training Epoch: 13 [42240/46250]	Loss: 0.2425	LR: 0.004000
Training Epoch: 13 [42496/46250]	Loss: 0.3346	LR: 0.004000
Training Epoch: 13 [42752/46250]	Loss: 0.2658	LR: 0.004000
Training Epoch: 13 [43008/46250]	Loss: 0.3346	LR: 0.004000
Training Epoch: 13 [43264/46250]	Loss: 0.2990	LR: 0.004000
Training Epoch: 13 [43520/46250]	Loss: 0.3313	LR: 0.004000
Training Epoch: 13 [43776/46250]	Loss: 0.3691	LR: 0.004000
Training Epoch: 13 [44032/46250]	Loss: 0.3509	LR: 0.004000
Training Epoch: 13 [44288/46250]	Loss: 0.3883	LR: 0.004000
Training Epoch: 13 [44544/46250]	Loss: 0.3334	LR: 0.004000
Training Epoch: 13 [44800/46250]	Loss: 0.2791	LR: 0.004000
Training Epoch: 13 [45056/46250]	Loss: 0.2865	LR: 0.004000
Training Epoch: 13 [45312/46250]	Loss: 0.3437	LR: 0.004000
Training Epoch: 13 [45568/46250]	Loss: 0.2301	LR: 0.004000
Training Epoch: 13 [45824/46250]	Loss: 0.2101	LR: 0.004000
Training Epoch: 13 [46080/46250]	Loss: 0.2993	LR: 0.004000
Training Epoch: 13 [46250/46250]	Loss: 0.3428	LR: 0.004000
Epoch 13 - Average Train Loss: 0.3086, Train Accuracy: 0.8914
Epoch 13 training time consumed: 28.15s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0014, Accuracy: 0.8848, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_07h_44m_59s/ResNet18-Cifar10-seed6-ret25-13-best.pth
Training Epoch: 14 [256/46250]	Loss: 0.2526	LR: 0.004000
Training Epoch: 14 [512/46250]	Loss: 0.2772	LR: 0.004000
Training Epoch: 14 [768/46250]	Loss: 0.3016	LR: 0.004000
Training Epoch: 14 [1024/46250]	Loss: 0.3852	LR: 0.004000
Training Epoch: 14 [1280/46250]	Loss: 0.3845	LR: 0.004000
Training Epoch: 14 [1536/46250]	Loss: 0.2877	LR: 0.004000
Training Epoch: 14 [1792/46250]	Loss: 0.3065	LR: 0.004000
Training Epoch: 14 [2048/46250]	Loss: 0.3401	LR: 0.004000
Training Epoch: 14 [2304/46250]	Loss: 0.3614	LR: 0.004000
Training Epoch: 14 [2560/46250]	Loss: 0.2363	LR: 0.004000
Training Epoch: 14 [2816/46250]	Loss: 0.2877	LR: 0.004000
Training Epoch: 14 [3072/46250]	Loss: 0.2401	LR: 0.004000
Training Epoch: 14 [3328/46250]	Loss: 0.3763	LR: 0.004000
Training Epoch: 14 [3584/46250]	Loss: 0.3262	LR: 0.004000
Training Epoch: 14 [3840/46250]	Loss: 0.2790	LR: 0.004000
Training Epoch: 14 [4096/46250]	Loss: 0.2981	LR: 0.004000
Training Epoch: 14 [4352/46250]	Loss: 0.2974	LR: 0.004000
Training Epoch: 14 [4608/46250]	Loss: 0.2714	LR: 0.004000
Training Epoch: 14 [4864/46250]	Loss: 0.2985	LR: 0.004000
Training Epoch: 14 [5120/46250]	Loss: 0.3136	LR: 0.004000
Training Epoch: 14 [5376/46250]	Loss: 0.2789	LR: 0.004000
Training Epoch: 14 [5632/46250]	Loss: 0.2495	LR: 0.004000
Training Epoch: 14 [5888/46250]	Loss: 0.3539	LR: 0.004000
Training Epoch: 14 [6144/46250]	Loss: 0.3252	LR: 0.004000
Training Epoch: 14 [6400/46250]	Loss: 0.2844	LR: 0.004000
Training Epoch: 14 [6656/46250]	Loss: 0.3206	LR: 0.004000
Training Epoch: 14 [6912/46250]	Loss: 0.4050	LR: 0.004000
Training Epoch: 14 [7168/46250]	Loss: 0.3039	LR: 0.004000
Training Epoch: 14 [7424/46250]	Loss: 0.3121	LR: 0.004000
Training Epoch: 14 [7680/46250]	Loss: 0.2852	LR: 0.004000
Training Epoch: 14 [7936/46250]	Loss: 0.2619	LR: 0.004000
Training Epoch: 14 [8192/46250]	Loss: 0.3100	LR: 0.004000
Training Epoch: 14 [8448/46250]	Loss: 0.2985	LR: 0.004000
Training Epoch: 14 [8704/46250]	Loss: 0.2870	LR: 0.004000
Training Epoch: 14 [8960/46250]	Loss: 0.1936	LR: 0.004000
Training Epoch: 14 [9216/46250]	Loss: 0.4381	LR: 0.004000
Training Epoch: 14 [9472/46250]	Loss: 0.3430	LR: 0.004000
Training Epoch: 14 [9728/46250]	Loss: 0.2563	LR: 0.004000
Training Epoch: 14 [9984/46250]	Loss: 0.3291	LR: 0.004000
Training Epoch: 14 [10240/46250]	Loss: 0.3355	LR: 0.004000
Training Epoch: 14 [10496/46250]	Loss: 0.3062	LR: 0.004000
Training Epoch: 14 [10752/46250]	Loss: 0.2586	LR: 0.004000
Training Epoch: 14 [11008/46250]	Loss: 0.1748	LR: 0.004000
Training Epoch: 14 [11264/46250]	Loss: 0.3342	LR: 0.004000
Training Epoch: 14 [11520/46250]	Loss: 0.3975	LR: 0.004000
Training Epoch: 14 [11776/46250]	Loss: 0.2896	LR: 0.004000
Training Epoch: 14 [12032/46250]	Loss: 0.3292	LR: 0.004000
Training Epoch: 14 [12288/46250]	Loss: 0.2448	LR: 0.004000
Training Epoch: 14 [12544/46250]	Loss: 0.2245	LR: 0.004000
Training Epoch: 14 [12800/46250]	Loss: 0.3073	LR: 0.004000
Training Epoch: 14 [13056/46250]	Loss: 0.2623	LR: 0.004000
Training Epoch: 14 [13312/46250]	Loss: 0.2289	LR: 0.004000
Training Epoch: 14 [13568/46250]	Loss: 0.2936	LR: 0.004000
Training Epoch: 14 [13824/46250]	Loss: 0.3318	LR: 0.004000
Training Epoch: 14 [14080/46250]	Loss: 0.3231	LR: 0.004000
Training Epoch: 14 [14336/46250]	Loss: 0.3400	LR: 0.004000
Training Epoch: 14 [14592/46250]	Loss: 0.3251	LR: 0.004000
Training Epoch: 14 [14848/46250]	Loss: 0.3801	LR: 0.004000
Training Epoch: 14 [15104/46250]	Loss: 0.3260	LR: 0.004000
Training Epoch: 14 [15360/46250]	Loss: 0.2819	LR: 0.004000
Training Epoch: 14 [15616/46250]	Loss: 0.2885	LR: 0.004000
Training Epoch: 14 [15872/46250]	Loss: 0.3040	LR: 0.004000
Training Epoch: 14 [16128/46250]	Loss: 0.2844	LR: 0.004000
Training Epoch: 14 [16384/46250]	Loss: 0.2535	LR: 0.004000
Training Epoch: 14 [16640/46250]	Loss: 0.3201	LR: 0.004000
Training Epoch: 14 [16896/46250]	Loss: 0.3019	LR: 0.004000
Training Epoch: 14 [17152/46250]	Loss: 0.3290	LR: 0.004000
Training Epoch: 14 [17408/46250]	Loss: 0.3054	LR: 0.004000
Training Epoch: 14 [17664/46250]	Loss: 0.3973	LR: 0.004000
Training Epoch: 14 [17920/46250]	Loss: 0.3381	LR: 0.004000
Training Epoch: 14 [18176/46250]	Loss: 0.2349	LR: 0.004000
Training Epoch: 14 [18432/46250]	Loss: 0.2778	LR: 0.004000
Training Epoch: 14 [18688/46250]	Loss: 0.2980	LR: 0.004000
Training Epoch: 14 [18944/46250]	Loss: 0.2774	LR: 0.004000
Training Epoch: 14 [19200/46250]	Loss: 0.2645	LR: 0.004000
Training Epoch: 14 [19456/46250]	Loss: 0.2288	LR: 0.004000
Training Epoch: 14 [19712/46250]	Loss: 0.3245	LR: 0.004000
Training Epoch: 14 [19968/46250]	Loss: 0.3411	LR: 0.004000
Training Epoch: 14 [20224/46250]	Loss: 0.3078	LR: 0.004000
Training Epoch: 14 [20480/46250]	Loss: 0.3490	LR: 0.004000
Training Epoch: 14 [20736/46250]	Loss: 0.1801	LR: 0.004000
Training Epoch: 14 [20992/46250]	Loss: 0.3173	LR: 0.004000
Training Epoch: 14 [21248/46250]	Loss: 0.2931	LR: 0.004000
Training Epoch: 14 [21504/46250]	Loss: 0.3460	LR: 0.004000
Training Epoch: 14 [21760/46250]	Loss: 0.2522	LR: 0.004000
Training Epoch: 14 [22016/46250]	Loss: 0.3424	LR: 0.004000
Training Epoch: 14 [22272/46250]	Loss: 0.3698	LR: 0.004000
Training Epoch: 14 [22528/46250]	Loss: 0.3888	LR: 0.004000
Training Epoch: 14 [22784/46250]	Loss: 0.2165	LR: 0.004000
Training Epoch: 14 [23040/46250]	Loss: 0.3036	LR: 0.004000
Training Epoch: 14 [23296/46250]	Loss: 0.3235	LR: 0.004000
Training Epoch: 14 [23552/46250]	Loss: 0.2617	LR: 0.004000
Training Epoch: 14 [23808/46250]	Loss: 0.3482	LR: 0.004000
Training Epoch: 14 [24064/46250]	Loss: 0.3028	LR: 0.004000
Training Epoch: 14 [24320/46250]	Loss: 0.2471	LR: 0.004000
Training Epoch: 14 [24576/46250]	Loss: 0.2930	LR: 0.004000
Training Epoch: 14 [24832/46250]	Loss: 0.3119	LR: 0.004000
Training Epoch: 14 [25088/46250]	Loss: 0.2588	LR: 0.004000
Training Epoch: 14 [25344/46250]	Loss: 0.2017	LR: 0.004000
Training Epoch: 14 [25600/46250]	Loss: 0.2627	LR: 0.004000
Training Epoch: 14 [25856/46250]	Loss: 0.3066	LR: 0.004000
Training Epoch: 14 [26112/46250]	Loss: 0.3491	LR: 0.004000
Training Epoch: 14 [26368/46250]	Loss: 0.3043	LR: 0.004000
Training Epoch: 14 [26624/46250]	Loss: 0.2471	LR: 0.004000
Training Epoch: 14 [26880/46250]	Loss: 0.3575	LR: 0.004000
Training Epoch: 14 [27136/46250]	Loss: 0.2582	LR: 0.004000
Training Epoch: 14 [27392/46250]	Loss: 0.3144	LR: 0.004000
Training Epoch: 14 [27648/46250]	Loss: 0.2948	LR: 0.004000
Training Epoch: 14 [27904/46250]	Loss: 0.2602	LR: 0.004000
Training Epoch: 14 [28160/46250]	Loss: 0.3839	LR: 0.004000
Training Epoch: 14 [28416/46250]	Loss: 0.4150	LR: 0.004000
Training Epoch: 14 [28672/46250]	Loss: 0.3060	LR: 0.004000
Training Epoch: 14 [28928/46250]	Loss: 0.2973	LR: 0.004000
Training Epoch: 14 [29184/46250]	Loss: 0.3047	LR: 0.004000
Training Epoch: 14 [29440/46250]	Loss: 0.2973	LR: 0.004000
Training Epoch: 14 [29696/46250]	Loss: 0.3959	LR: 0.004000
Training Epoch: 14 [29952/46250]	Loss: 0.2983	LR: 0.004000
Training Epoch: 14 [30208/46250]	Loss: 0.2994	LR: 0.004000
Training Epoch: 14 [30464/46250]	Loss: 0.3537	LR: 0.004000
Training Epoch: 14 [30720/46250]	Loss: 0.3368	LR: 0.004000
Training Epoch: 14 [30976/46250]	Loss: 0.2528	LR: 0.004000
Training Epoch: 14 [31232/46250]	Loss: 0.2637	LR: 0.004000
Training Epoch: 14 [31488/46250]	Loss: 0.3125	LR: 0.004000
Training Epoch: 14 [31744/46250]	Loss: 0.3094	LR: 0.004000
Training Epoch: 14 [32000/46250]	Loss: 0.3726	LR: 0.004000
Training Epoch: 14 [32256/46250]	Loss: 0.3195	LR: 0.004000
Training Epoch: 14 [32512/46250]	Loss: 0.2229	LR: 0.004000
Training Epoch: 14 [32768/46250]	Loss: 0.3502	LR: 0.004000
Training Epoch: 14 [33024/46250]	Loss: 0.2363	LR: 0.004000
Training Epoch: 14 [33280/46250]	Loss: 0.3456	LR: 0.004000
Training Epoch: 14 [33536/46250]	Loss: 0.2973	LR: 0.004000
Training Epoch: 14 [33792/46250]	Loss: 0.2112	LR: 0.004000
Training Epoch: 14 [34048/46250]	Loss: 0.3099	LR: 0.004000
Training Epoch: 14 [34304/46250]	Loss: 0.2869	LR: 0.004000
Training Epoch: 14 [34560/46250]	Loss: 0.3009	LR: 0.004000
Training Epoch: 14 [34816/46250]	Loss: 0.3520	LR: 0.004000
Training Epoch: 14 [35072/46250]	Loss: 0.3056	LR: 0.004000
Training Epoch: 14 [35328/46250]	Loss: 0.2205	LR: 0.004000
Training Epoch: 14 [35584/46250]	Loss: 0.2661	LR: 0.004000
Training Epoch: 14 [35840/46250]	Loss: 0.2318	LR: 0.004000
Training Epoch: 14 [36096/46250]	Loss: 0.2400	LR: 0.004000
Training Epoch: 14 [36352/46250]	Loss: 0.2541	LR: 0.004000
Training Epoch: 14 [36608/46250]	Loss: 0.2343	LR: 0.004000
Training Epoch: 14 [36864/46250]	Loss: 0.2733	LR: 0.004000
Training Epoch: 14 [37120/46250]	Loss: 0.2901	LR: 0.004000
Training Epoch: 14 [37376/46250]	Loss: 0.3465	LR: 0.004000
Training Epoch: 14 [37632/46250]	Loss: 0.3229	LR: 0.004000
Training Epoch: 14 [37888/46250]	Loss: 0.2787	LR: 0.004000
Training Epoch: 14 [38144/46250]	Loss: 0.3320	LR: 0.004000
Training Epoch: 14 [38400/46250]	Loss: 0.2557	LR: 0.004000
Training Epoch: 14 [38656/46250]	Loss: 0.2308	LR: 0.004000
Training Epoch: 14 [38912/46250]	Loss: 0.2827	LR: 0.004000
Training Epoch: 14 [39168/46250]	Loss: 0.3264	LR: 0.004000
Training Epoch: 14 [39424/46250]	Loss: 0.2760	LR: 0.004000
Training Epoch: 14 [39680/46250]	Loss: 0.2751	LR: 0.004000
Training Epoch: 14 [39936/46250]	Loss: 0.3116	LR: 0.004000
Training Epoch: 14 [40192/46250]	Loss: 0.3612	LR: 0.004000
Training Epoch: 14 [40448/46250]	Loss: 0.2177	LR: 0.004000
Training Epoch: 14 [40704/46250]	Loss: 0.2926	LR: 0.004000
Training Epoch: 14 [40960/46250]	Loss: 0.3106	LR: 0.004000
Training Epoch: 14 [41216/46250]	Loss: 0.2341	LR: 0.004000
Training Epoch: 14 [41472/46250]	Loss: 0.3205	LR: 0.004000
Training Epoch: 14 [41728/46250]	Loss: 0.2693	LR: 0.004000
Training Epoch: 14 [41984/46250]	Loss: 0.2601	LR: 0.004000
Training Epoch: 14 [42240/46250]	Loss: 0.3163	LR: 0.004000
Training Epoch: 14 [42496/46250]	Loss: 0.3208	LR: 0.004000
Training Epoch: 14 [42752/46250]	Loss: 0.2664	LR: 0.004000
Training Epoch: 14 [43008/46250]	Loss: 0.3036	LR: 0.004000
Training Epoch: 14 [43264/46250]	Loss: 0.3200	LR: 0.004000
Training Epoch: 14 [43520/46250]	Loss: 0.2726	LR: 0.004000
Training Epoch: 14 [43776/46250]	Loss: 0.3359	LR: 0.004000
Training Epoch: 14 [44032/46250]	Loss: 0.3225	LR: 0.004000
Training Epoch: 14 [44288/46250]	Loss: 0.3362	LR: 0.004000
Training Epoch: 14 [44544/46250]	Loss: 0.2604	LR: 0.004000
Training Epoch: 14 [44800/46250]	Loss: 0.3321	LR: 0.004000
Training Epoch: 14 [45056/46250]	Loss: 0.2479	LR: 0.004000
Training Epoch: 14 [45312/46250]	Loss: 0.3610	LR: 0.004000
Training Epoch: 14 [45568/46250]	Loss: 0.2926	LR: 0.004000
Training Epoch: 14 [45824/46250]	Loss: 0.3644	LR: 0.004000
Training Epoch: 14 [46080/46250]	Loss: 0.2679	LR: 0.004000
Training Epoch: 14 [46250/46250]	Loss: 0.2823	LR: 0.004000
Epoch 14 - Average Train Loss: 0.2997, Train Accuracy: 0.8950
Epoch 14 training time consumed: 28.19s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0014, Accuracy: 0.8842, Time consumed:0.95s
Training Epoch: 15 [256/46250]	Loss: 0.2499	LR: 0.004000
Training Epoch: 15 [512/46250]	Loss: 0.2877	LR: 0.004000
Training Epoch: 15 [768/46250]	Loss: 0.2934	LR: 0.004000
Training Epoch: 15 [1024/46250]	Loss: 0.2465	LR: 0.004000
Training Epoch: 15 [1280/46250]	Loss: 0.2835	LR: 0.004000
Training Epoch: 15 [1536/46250]	Loss: 0.2691	LR: 0.004000
Training Epoch: 15 [1792/46250]	Loss: 0.3194	LR: 0.004000
Training Epoch: 15 [2048/46250]	Loss: 0.2890	LR: 0.004000
Training Epoch: 15 [2304/46250]	Loss: 0.2684	LR: 0.004000
Training Epoch: 15 [2560/46250]	Loss: 0.3452	LR: 0.004000
Training Epoch: 15 [2816/46250]	Loss: 0.2446	LR: 0.004000
Training Epoch: 15 [3072/46250]	Loss: 0.3090	LR: 0.004000
Training Epoch: 15 [3328/46250]	Loss: 0.3366	LR: 0.004000
Training Epoch: 15 [3584/46250]	Loss: 0.3475	LR: 0.004000
Training Epoch: 15 [3840/46250]	Loss: 0.2829	LR: 0.004000
Training Epoch: 15 [4096/46250]	Loss: 0.3138	LR: 0.004000
Training Epoch: 15 [4352/46250]	Loss: 0.2332	LR: 0.004000
Training Epoch: 15 [4608/46250]	Loss: 0.2989	LR: 0.004000
Training Epoch: 15 [4864/46250]	Loss: 0.2948	LR: 0.004000
Training Epoch: 15 [5120/46250]	Loss: 0.2992	LR: 0.004000
Training Epoch: 15 [5376/46250]	Loss: 0.2480	LR: 0.004000
Training Epoch: 15 [5632/46250]	Loss: 0.3855	LR: 0.004000
Training Epoch: 15 [5888/46250]	Loss: 0.3799	LR: 0.004000
Training Epoch: 15 [6144/46250]	Loss: 0.2604	LR: 0.004000
Training Epoch: 15 [6400/46250]	Loss: 0.3212	LR: 0.004000
Training Epoch: 15 [6656/46250]	Loss: 0.2734	LR: 0.004000
Training Epoch: 15 [6912/46250]	Loss: 0.2301	LR: 0.004000
Training Epoch: 15 [7168/46250]	Loss: 0.3294	LR: 0.004000
Training Epoch: 15 [7424/46250]	Loss: 0.2955	LR: 0.004000
Training Epoch: 15 [7680/46250]	Loss: 0.2564	LR: 0.004000
Training Epoch: 15 [7936/46250]	Loss: 0.3062	LR: 0.004000
Training Epoch: 15 [8192/46250]	Loss: 0.2788	LR: 0.004000
Training Epoch: 15 [8448/46250]	Loss: 0.2724	LR: 0.004000
Training Epoch: 15 [8704/46250]	Loss: 0.2284	LR: 0.004000
Training Epoch: 15 [8960/46250]	Loss: 0.2914	LR: 0.004000
Training Epoch: 15 [9216/46250]	Loss: 0.3315	LR: 0.004000
Training Epoch: 15 [9472/46250]	Loss: 0.2842	LR: 0.004000
Training Epoch: 15 [9728/46250]	Loss: 0.3096	LR: 0.004000
Training Epoch: 15 [9984/46250]	Loss: 0.3380	LR: 0.004000
Training Epoch: 15 [10240/46250]	Loss: 0.2319	LR: 0.004000
Training Epoch: 15 [10496/46250]	Loss: 0.2770	LR: 0.004000
Training Epoch: 15 [10752/46250]	Loss: 0.3117	LR: 0.004000
Training Epoch: 15 [11008/46250]	Loss: 0.3089	LR: 0.004000
Training Epoch: 15 [11264/46250]	Loss: 0.2812	LR: 0.004000
Training Epoch: 15 [11520/46250]	Loss: 0.3194	LR: 0.004000
Training Epoch: 15 [11776/46250]	Loss: 0.2605	LR: 0.004000
Training Epoch: 15 [12032/46250]	Loss: 0.2946	LR: 0.004000
Training Epoch: 15 [12288/46250]	Loss: 0.3004	LR: 0.004000
Training Epoch: 15 [12544/46250]	Loss: 0.3247	LR: 0.004000
Training Epoch: 15 [12800/46250]	Loss: 0.2884	LR: 0.004000
Training Epoch: 15 [13056/46250]	Loss: 0.2403	LR: 0.004000
Training Epoch: 15 [13312/46250]	Loss: 0.3029	LR: 0.004000
Training Epoch: 15 [13568/46250]	Loss: 0.1824	LR: 0.004000
Training Epoch: 15 [13824/46250]	Loss: 0.3378	LR: 0.004000
Training Epoch: 15 [14080/46250]	Loss: 0.2735	LR: 0.004000
Training Epoch: 15 [14336/46250]	Loss: 0.2521	LR: 0.004000
Training Epoch: 15 [14592/46250]	Loss: 0.1943	LR: 0.004000
Training Epoch: 15 [14848/46250]	Loss: 0.2815	LR: 0.004000
Training Epoch: 15 [15104/46250]	Loss: 0.2773	LR: 0.004000
Training Epoch: 15 [15360/46250]	Loss: 0.2604	LR: 0.004000
Training Epoch: 15 [15616/46250]	Loss: 0.3210	LR: 0.004000
Training Epoch: 15 [15872/46250]	Loss: 0.3652	LR: 0.004000
Training Epoch: 15 [16128/46250]	Loss: 0.2623	LR: 0.004000
Training Epoch: 15 [16384/46250]	Loss: 0.2410	LR: 0.004000
Training Epoch: 15 [16640/46250]	Loss: 0.2209	LR: 0.004000
Training Epoch: 15 [16896/46250]	Loss: 0.3066	LR: 0.004000
Training Epoch: 15 [17152/46250]	Loss: 0.2943	LR: 0.004000
Training Epoch: 15 [17408/46250]	Loss: 0.2918	LR: 0.004000
Training Epoch: 15 [17664/46250]	Loss: 0.2758	LR: 0.004000
Training Epoch: 15 [17920/46250]	Loss: 0.3020	LR: 0.004000
Training Epoch: 15 [18176/46250]	Loss: 0.3153	LR: 0.004000
Training Epoch: 15 [18432/46250]	Loss: 0.2906	LR: 0.004000
Training Epoch: 15 [18688/46250]	Loss: 0.2383	LR: 0.004000
Training Epoch: 15 [18944/46250]	Loss: 0.3853	LR: 0.004000
Training Epoch: 15 [19200/46250]	Loss: 0.2906	LR: 0.004000
Training Epoch: 15 [19456/46250]	Loss: 0.2475	LR: 0.004000
Training Epoch: 15 [19712/46250]	Loss: 0.3483	LR: 0.004000
Training Epoch: 15 [19968/46250]	Loss: 0.3051	LR: 0.004000
Training Epoch: 15 [20224/46250]	Loss: 0.2818	LR: 0.004000
Training Epoch: 15 [20480/46250]	Loss: 0.3477	LR: 0.004000
Training Epoch: 15 [20736/46250]	Loss: 0.3508	LR: 0.004000
Training Epoch: 15 [20992/46250]	Loss: 0.3082	LR: 0.004000
Training Epoch: 15 [21248/46250]	Loss: 0.3120	LR: 0.004000
Training Epoch: 15 [21504/46250]	Loss: 0.2812	LR: 0.004000
Training Epoch: 15 [21760/46250]	Loss: 0.2370	LR: 0.004000
Training Epoch: 15 [22016/46250]	Loss: 0.2356	LR: 0.004000
Training Epoch: 15 [22272/46250]	Loss: 0.3211	LR: 0.004000
Training Epoch: 15 [22528/46250]	Loss: 0.2910	LR: 0.004000
Training Epoch: 15 [22784/46250]	Loss: 0.2740	LR: 0.004000
Training Epoch: 15 [23040/46250]	Loss: 0.3307	LR: 0.004000
Training Epoch: 15 [23296/46250]	Loss: 0.3835	LR: 0.004000
Training Epoch: 15 [23552/46250]	Loss: 0.2843	LR: 0.004000
Training Epoch: 15 [23808/46250]	Loss: 0.2195	LR: 0.004000
Training Epoch: 15 [24064/46250]	Loss: 0.3126	LR: 0.004000
Training Epoch: 15 [24320/46250]	Loss: 0.3135	LR: 0.004000
Training Epoch: 15 [24576/46250]	Loss: 0.2713	LR: 0.004000
Training Epoch: 15 [24832/46250]	Loss: 0.2482	LR: 0.004000
Training Epoch: 15 [25088/46250]	Loss: 0.3061	LR: 0.004000
Training Epoch: 15 [25344/46250]	Loss: 0.2258	LR: 0.004000
Training Epoch: 15 [25600/46250]	Loss: 0.3730	LR: 0.004000
Training Epoch: 15 [25856/46250]	Loss: 0.2461	LR: 0.004000
Training Epoch: 15 [26112/46250]	Loss: 0.3886	LR: 0.004000
Training Epoch: 15 [26368/46250]	Loss: 0.3173	LR: 0.004000
Training Epoch: 15 [26624/46250]	Loss: 0.3715	LR: 0.004000
Training Epoch: 15 [26880/46250]	Loss: 0.2451	LR: 0.004000
Training Epoch: 15 [27136/46250]	Loss: 0.2941	LR: 0.004000
Training Epoch: 15 [27392/46250]	Loss: 0.3765	LR: 0.004000
Training Epoch: 15 [27648/46250]	Loss: 0.2654	LR: 0.004000
Training Epoch: 15 [27904/46250]	Loss: 0.2603	LR: 0.004000
Training Epoch: 15 [28160/46250]	Loss: 0.3708	LR: 0.004000
Training Epoch: 15 [28416/46250]	Loss: 0.3112	LR: 0.004000
Training Epoch: 15 [28672/46250]	Loss: 0.2149	LR: 0.004000
Training Epoch: 15 [28928/46250]	Loss: 0.2716	LR: 0.004000
Training Epoch: 15 [29184/46250]	Loss: 0.3148	LR: 0.004000
Training Epoch: 15 [29440/46250]	Loss: 0.2983	LR: 0.004000
Training Epoch: 15 [29696/46250]	Loss: 0.3040	LR: 0.004000
Training Epoch: 15 [29952/46250]	Loss: 0.2995	LR: 0.004000
Training Epoch: 15 [30208/46250]	Loss: 0.2479	LR: 0.004000
Training Epoch: 15 [30464/46250]	Loss: 0.2423	LR: 0.004000
Training Epoch: 15 [30720/46250]	Loss: 0.2987	LR: 0.004000
Training Epoch: 15 [30976/46250]	Loss: 0.2423	LR: 0.004000
Training Epoch: 15 [31232/46250]	Loss: 0.3283	LR: 0.004000
Training Epoch: 15 [31488/46250]	Loss: 0.3432	LR: 0.004000
Training Epoch: 15 [31744/46250]	Loss: 0.2989	LR: 0.004000
Training Epoch: 15 [32000/46250]	Loss: 0.2975	LR: 0.004000
Training Epoch: 15 [32256/46250]	Loss: 0.3122	LR: 0.004000
Training Epoch: 15 [32512/46250]	Loss: 0.2696	LR: 0.004000
Training Epoch: 15 [32768/46250]	Loss: 0.2835	LR: 0.004000
Training Epoch: 15 [33024/46250]	Loss: 0.3092	LR: 0.004000
Training Epoch: 15 [33280/46250]	Loss: 0.2405	LR: 0.004000
Training Epoch: 15 [33536/46250]	Loss: 0.3049	LR: 0.004000
Training Epoch: 15 [33792/46250]	Loss: 0.3352	LR: 0.004000
Training Epoch: 15 [34048/46250]	Loss: 0.2758	LR: 0.004000
Training Epoch: 15 [34304/46250]	Loss: 0.2409	LR: 0.004000
Training Epoch: 15 [34560/46250]	Loss: 0.2713	LR: 0.004000
Training Epoch: 15 [34816/46250]	Loss: 0.3078	LR: 0.004000
Training Epoch: 15 [35072/46250]	Loss: 0.2996	LR: 0.004000
Training Epoch: 15 [35328/46250]	Loss: 0.3085	LR: 0.004000
Training Epoch: 15 [35584/46250]	Loss: 0.2383	LR: 0.004000
Training Epoch: 15 [35840/46250]	Loss: 0.3348	LR: 0.004000
Training Epoch: 15 [36096/46250]	Loss: 0.2857	LR: 0.004000
Training Epoch: 15 [36352/46250]	Loss: 0.2966	LR: 0.004000
Training Epoch: 15 [36608/46250]	Loss: 0.2678	LR: 0.004000
Training Epoch: 15 [36864/46250]	Loss: 0.2742	LR: 0.004000
Training Epoch: 15 [37120/46250]	Loss: 0.2577	LR: 0.004000
Training Epoch: 15 [37376/46250]	Loss: 0.2702	LR: 0.004000
Training Epoch: 15 [37632/46250]	Loss: 0.3532	LR: 0.004000
Training Epoch: 15 [37888/46250]	Loss: 0.3270	LR: 0.004000
Training Epoch: 15 [38144/46250]	Loss: 0.3575	LR: 0.004000
Training Epoch: 15 [38400/46250]	Loss: 0.2897	LR: 0.004000
Training Epoch: 15 [38656/46250]	Loss: 0.3534	LR: 0.004000
Training Epoch: 15 [38912/46250]	Loss: 0.2282	LR: 0.004000
Training Epoch: 15 [39168/46250]	Loss: 0.2709	LR: 0.004000
Training Epoch: 15 [39424/46250]	Loss: 0.2321	LR: 0.004000
Training Epoch: 15 [39680/46250]	Loss: 0.3124	LR: 0.004000
Training Epoch: 15 [39936/46250]	Loss: 0.2677	LR: 0.004000
Training Epoch: 15 [40192/46250]	Loss: 0.2914	LR: 0.004000
Training Epoch: 15 [40448/46250]	Loss: 0.3030	LR: 0.004000
Training Epoch: 15 [40704/46250]	Loss: 0.3762	LR: 0.004000
Training Epoch: 15 [40960/46250]	Loss: 0.2833	LR: 0.004000
Training Epoch: 15 [41216/46250]	Loss: 0.3228	LR: 0.004000
Training Epoch: 15 [41472/46250]	Loss: 0.3187	LR: 0.004000
Training Epoch: 15 [41728/46250]	Loss: 0.3291	LR: 0.004000
Training Epoch: 15 [41984/46250]	Loss: 0.3163	LR: 0.004000
Training Epoch: 15 [42240/46250]	Loss: 0.3649	LR: 0.004000
Training Epoch: 15 [42496/46250]	Loss: 0.2854	LR: 0.004000
Training Epoch: 15 [42752/46250]	Loss: 0.3275	LR: 0.004000
Training Epoch: 15 [43008/46250]	Loss: 0.3017	LR: 0.004000
Training Epoch: 15 [43264/46250]	Loss: 0.2906	LR: 0.004000
Training Epoch: 15 [43520/46250]	Loss: 0.3414	LR: 0.004000
Training Epoch: 15 [43776/46250]	Loss: 0.2691	LR: 0.004000
Training Epoch: 15 [44032/46250]	Loss: 0.2660	LR: 0.004000
Training Epoch: 15 [44288/46250]	Loss: 0.2145	LR: 0.004000
Training Epoch: 15 [44544/46250]	Loss: 0.3572	LR: 0.004000
Training Epoch: 15 [44800/46250]	Loss: 0.2344	LR: 0.004000
Training Epoch: 15 [45056/46250]	Loss: 0.4273	LR: 0.004000
Training Epoch: 15 [45312/46250]	Loss: 0.2780	LR: 0.004000
Training Epoch: 15 [45568/46250]	Loss: 0.3641	LR: 0.004000
Training Epoch: 15 [45824/46250]	Loss: 0.2513	LR: 0.004000
Training Epoch: 15 [46080/46250]	Loss: 0.3409	LR: 0.004000
Training Epoch: 15 [46250/46250]	Loss: 0.3238	LR: 0.004000
Epoch 15 - Average Train Loss: 0.2941, Train Accuracy: 0.8972
Epoch 15 training time consumed: 27.87s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0014, Accuracy: 0.8841, Time consumed:0.93s
Training Epoch: 16 [256/46250]	Loss: 0.3114	LR: 0.000800
Training Epoch: 16 [512/46250]	Loss: 0.2636	LR: 0.000800
Training Epoch: 16 [768/46250]	Loss: 0.2853	LR: 0.000800
Training Epoch: 16 [1024/46250]	Loss: 0.2516	LR: 0.000800
Training Epoch: 16 [1280/46250]	Loss: 0.2713	LR: 0.000800
Training Epoch: 16 [1536/46250]	Loss: 0.2598	LR: 0.000800
Training Epoch: 16 [1792/46250]	Loss: 0.2641	LR: 0.000800
Training Epoch: 16 [2048/46250]	Loss: 0.3535	LR: 0.000800
Training Epoch: 16 [2304/46250]	Loss: 0.2828	LR: 0.000800
Training Epoch: 16 [2560/46250]	Loss: 0.2717	LR: 0.000800
Training Epoch: 16 [2816/46250]	Loss: 0.2858	LR: 0.000800
Training Epoch: 16 [3072/46250]	Loss: 0.3068	LR: 0.000800
Training Epoch: 16 [3328/46250]	Loss: 0.3454	LR: 0.000800
Training Epoch: 16 [3584/46250]	Loss: 0.3108	LR: 0.000800
Training Epoch: 16 [3840/46250]	Loss: 0.2649	LR: 0.000800
Training Epoch: 16 [4096/46250]	Loss: 0.3128	LR: 0.000800
Training Epoch: 16 [4352/46250]	Loss: 0.2915	LR: 0.000800
Training Epoch: 16 [4608/46250]	Loss: 0.3020	LR: 0.000800
Training Epoch: 16 [4864/46250]	Loss: 0.2943	LR: 0.000800
Training Epoch: 16 [5120/46250]	Loss: 0.2173	LR: 0.000800
Training Epoch: 16 [5376/46250]	Loss: 0.2249	LR: 0.000800
Training Epoch: 16 [5632/46250]	Loss: 0.2538	LR: 0.000800
Training Epoch: 16 [5888/46250]	Loss: 0.3606	LR: 0.000800
Training Epoch: 16 [6144/46250]	Loss: 0.2855	LR: 0.000800
Training Epoch: 16 [6400/46250]	Loss: 0.2794	LR: 0.000800
Training Epoch: 16 [6656/46250]	Loss: 0.2651	LR: 0.000800
Training Epoch: 16 [6912/46250]	Loss: 0.3005	LR: 0.000800
Training Epoch: 16 [7168/46250]	Loss: 0.2563	LR: 0.000800
Training Epoch: 16 [7424/46250]	Loss: 0.3394	LR: 0.000800
Training Epoch: 16 [7680/46250]	Loss: 0.3312	LR: 0.000800
Training Epoch: 16 [7936/46250]	Loss: 0.2746	LR: 0.000800
Training Epoch: 16 [8192/46250]	Loss: 0.2260	LR: 0.000800
Training Epoch: 16 [8448/46250]	Loss: 0.2765	LR: 0.000800
Training Epoch: 16 [8704/46250]	Loss: 0.2524	LR: 0.000800
Training Epoch: 16 [8960/46250]	Loss: 0.3041	LR: 0.000800
Training Epoch: 16 [9216/46250]	Loss: 0.3278	LR: 0.000800
Training Epoch: 16 [9472/46250]	Loss: 0.2341	LR: 0.000800
Training Epoch: 16 [9728/46250]	Loss: 0.2702	LR: 0.000800
Training Epoch: 16 [9984/46250]	Loss: 0.3227	LR: 0.000800
Training Epoch: 16 [10240/46250]	Loss: 0.3106	LR: 0.000800
Training Epoch: 16 [10496/46250]	Loss: 0.2451	LR: 0.000800
Training Epoch: 16 [10752/46250]	Loss: 0.2762	LR: 0.000800
Training Epoch: 16 [11008/46250]	Loss: 0.3609	LR: 0.000800
Training Epoch: 16 [11264/46250]	Loss: 0.3352	LR: 0.000800
Training Epoch: 16 [11520/46250]	Loss: 0.2373	LR: 0.000800
Training Epoch: 16 [11776/46250]	Loss: 0.1952	LR: 0.000800
Training Epoch: 16 [12032/46250]	Loss: 0.2981	LR: 0.000800
Training Epoch: 16 [12288/46250]	Loss: 0.2700	LR: 0.000800
Training Epoch: 16 [12544/46250]	Loss: 0.2949	LR: 0.000800
Training Epoch: 16 [12800/46250]	Loss: 0.2896	LR: 0.000800
Training Epoch: 16 [13056/46250]	Loss: 0.3002	LR: 0.000800
Training Epoch: 16 [13312/46250]	Loss: 0.2774	LR: 0.000800
Training Epoch: 16 [13568/46250]	Loss: 0.2201	LR: 0.000800
Training Epoch: 16 [13824/46250]	Loss: 0.2933	LR: 0.000800
Training Epoch: 16 [14080/46250]	Loss: 0.2831	LR: 0.000800
Training Epoch: 16 [14336/46250]	Loss: 0.2634	LR: 0.000800
Training Epoch: 16 [14592/46250]	Loss: 0.3101	LR: 0.000800
Training Epoch: 16 [14848/46250]	Loss: 0.3329	LR: 0.000800
Training Epoch: 16 [15104/46250]	Loss: 0.2816	LR: 0.000800
Training Epoch: 16 [15360/46250]	Loss: 0.2768	LR: 0.000800
Training Epoch: 16 [15616/46250]	Loss: 0.3244	LR: 0.000800
Training Epoch: 16 [15872/46250]	Loss: 0.2665	LR: 0.000800
Training Epoch: 16 [16128/46250]	Loss: 0.2320	LR: 0.000800
Training Epoch: 16 [16384/46250]	Loss: 0.3473	LR: 0.000800
Training Epoch: 16 [16640/46250]	Loss: 0.2940	LR: 0.000800
Training Epoch: 16 [16896/46250]	Loss: 0.3726	LR: 0.000800
Training Epoch: 16 [17152/46250]	Loss: 0.3055	LR: 0.000800
Training Epoch: 16 [17408/46250]	Loss: 0.2217	LR: 0.000800
Training Epoch: 16 [17664/46250]	Loss: 0.2698	LR: 0.000800
Training Epoch: 16 [17920/46250]	Loss: 0.3423	LR: 0.000800
Training Epoch: 16 [18176/46250]	Loss: 0.2326	LR: 0.000800
Training Epoch: 16 [18432/46250]	Loss: 0.2974	LR: 0.000800
Training Epoch: 16 [18688/46250]	Loss: 0.3145	LR: 0.000800
Training Epoch: 16 [18944/46250]	Loss: 0.3648	LR: 0.000800
Training Epoch: 16 [19200/46250]	Loss: 0.2254	LR: 0.000800
Training Epoch: 16 [19456/46250]	Loss: 0.2054	LR: 0.000800
Training Epoch: 16 [19712/46250]	Loss: 0.3173	LR: 0.000800
Training Epoch: 16 [19968/46250]	Loss: 0.2511	LR: 0.000800
Training Epoch: 16 [20224/46250]	Loss: 0.3143	LR: 0.000800
Training Epoch: 16 [20480/46250]	Loss: 0.2636	LR: 0.000800
Training Epoch: 16 [20736/46250]	Loss: 0.2655	LR: 0.000800
Training Epoch: 16 [20992/46250]	Loss: 0.2967	LR: 0.000800
Training Epoch: 16 [21248/46250]	Loss: 0.3237	LR: 0.000800
Training Epoch: 16 [21504/46250]	Loss: 0.2378	LR: 0.000800
Training Epoch: 16 [21760/46250]	Loss: 0.2942	LR: 0.000800
Training Epoch: 16 [22016/46250]	Loss: 0.3066	LR: 0.000800
Training Epoch: 16 [22272/46250]	Loss: 0.1923	LR: 0.000800
Training Epoch: 16 [22528/46250]	Loss: 0.3216	LR: 0.000800
Training Epoch: 16 [22784/46250]	Loss: 0.3103	LR: 0.000800
Training Epoch: 16 [23040/46250]	Loss: 0.2438	LR: 0.000800
Training Epoch: 16 [23296/46250]	Loss: 0.2442	LR: 0.000800
Training Epoch: 16 [23552/46250]	Loss: 0.2974	LR: 0.000800
Training Epoch: 16 [23808/46250]	Loss: 0.3760	LR: 0.000800
Training Epoch: 16 [24064/46250]	Loss: 0.2764	LR: 0.000800
Training Epoch: 16 [24320/46250]	Loss: 0.2265	LR: 0.000800
Training Epoch: 16 [24576/46250]	Loss: 0.3276	LR: 0.000800
Training Epoch: 16 [24832/46250]	Loss: 0.2061	LR: 0.000800
Training Epoch: 16 [25088/46250]	Loss: 0.3236	LR: 0.000800
Training Epoch: 16 [25344/46250]	Loss: 0.2248	LR: 0.000800
Training Epoch: 16 [25600/46250]	Loss: 0.2540	LR: 0.000800
Training Epoch: 16 [25856/46250]	Loss: 0.2695	LR: 0.000800
Training Epoch: 16 [26112/46250]	Loss: 0.2890	LR: 0.000800
Training Epoch: 16 [26368/46250]	Loss: 0.2679	LR: 0.000800
Training Epoch: 16 [26624/46250]	Loss: 0.3812	LR: 0.000800
Training Epoch: 16 [26880/46250]	Loss: 0.2475	LR: 0.000800
Training Epoch: 16 [27136/46250]	Loss: 0.3384	LR: 0.000800
Training Epoch: 16 [27392/46250]	Loss: 0.2994	LR: 0.000800
Training Epoch: 16 [27648/46250]	Loss: 0.2958	LR: 0.000800
Training Epoch: 16 [27904/46250]	Loss: 0.2557	LR: 0.000800
Training Epoch: 16 [28160/46250]	Loss: 0.2730	LR: 0.000800
Training Epoch: 16 [28416/46250]	Loss: 0.2661	LR: 0.000800
Training Epoch: 16 [28672/46250]	Loss: 0.2295	LR: 0.000800
Training Epoch: 16 [28928/46250]	Loss: 0.2424	LR: 0.000800
Training Epoch: 16 [29184/46250]	Loss: 0.3704	LR: 0.000800
Training Epoch: 16 [29440/46250]	Loss: 0.2620	LR: 0.000800
Training Epoch: 16 [29696/46250]	Loss: 0.2327	LR: 0.000800
Training Epoch: 16 [29952/46250]	Loss: 0.2809	LR: 0.000800
Training Epoch: 16 [30208/46250]	Loss: 0.2505	LR: 0.000800
Training Epoch: 16 [30464/46250]	Loss: 0.3420	LR: 0.000800
Training Epoch: 16 [30720/46250]	Loss: 0.3379	LR: 0.000800
Training Epoch: 16 [30976/46250]	Loss: 0.3123	LR: 0.000800
Training Epoch: 16 [31232/46250]	Loss: 0.3809	LR: 0.000800
Training Epoch: 16 [31488/46250]	Loss: 0.2764	LR: 0.000800
Training Epoch: 16 [31744/46250]	Loss: 0.3119	LR: 0.000800
Training Epoch: 16 [32000/46250]	Loss: 0.2986	LR: 0.000800
Training Epoch: 16 [32256/46250]	Loss: 0.2432	LR: 0.000800
Training Epoch: 16 [32512/46250]	Loss: 0.2315	LR: 0.000800
Training Epoch: 16 [32768/46250]	Loss: 0.2047	LR: 0.000800
Training Epoch: 16 [33024/46250]	Loss: 0.2884	LR: 0.000800
Training Epoch: 16 [33280/46250]	Loss: 0.3109	LR: 0.000800
Training Epoch: 16 [33536/46250]	Loss: 0.3114	LR: 0.000800
Training Epoch: 16 [33792/46250]	Loss: 0.2922	LR: 0.000800
Training Epoch: 16 [34048/46250]	Loss: 0.2774	LR: 0.000800
Training Epoch: 16 [34304/46250]	Loss: 0.2548	LR: 0.000800
Training Epoch: 16 [34560/46250]	Loss: 0.2600	LR: 0.000800
Training Epoch: 16 [34816/46250]	Loss: 0.2320	LR: 0.000800
Training Epoch: 16 [35072/46250]	Loss: 0.3276	LR: 0.000800
Training Epoch: 16 [35328/46250]	Loss: 0.2572	LR: 0.000800
Training Epoch: 16 [35584/46250]	Loss: 0.2368	LR: 0.000800
Training Epoch: 16 [35840/46250]	Loss: 0.2855	LR: 0.000800
Training Epoch: 16 [36096/46250]	Loss: 0.3046	LR: 0.000800
Training Epoch: 16 [36352/46250]	Loss: 0.2678	LR: 0.000800
Training Epoch: 16 [36608/46250]	Loss: 0.2798	LR: 0.000800
Training Epoch: 16 [36864/46250]	Loss: 0.2420	LR: 0.000800
Training Epoch: 16 [37120/46250]	Loss: 0.2198	LR: 0.000800
Training Epoch: 16 [37376/46250]	Loss: 0.2626	LR: 0.000800
Training Epoch: 16 [37632/46250]	Loss: 0.3197	LR: 0.000800
Training Epoch: 16 [37888/46250]	Loss: 0.2520	LR: 0.000800
Training Epoch: 16 [38144/46250]	Loss: 0.2934	LR: 0.000800
Training Epoch: 16 [38400/46250]	Loss: 0.2860	LR: 0.000800
Training Epoch: 16 [38656/46250]	Loss: 0.2699	LR: 0.000800
Training Epoch: 16 [38912/46250]	Loss: 0.2596	LR: 0.000800
Training Epoch: 16 [39168/46250]	Loss: 0.2925	LR: 0.000800
Training Epoch: 16 [39424/46250]	Loss: 0.2758	LR: 0.000800
Training Epoch: 16 [39680/46250]	Loss: 0.2664	LR: 0.000800
Training Epoch: 16 [39936/46250]	Loss: 0.2738	LR: 0.000800
Training Epoch: 16 [40192/46250]	Loss: 0.1955	LR: 0.000800
Training Epoch: 16 [40448/46250]	Loss: 0.3164	LR: 0.000800
Training Epoch: 16 [40704/46250]	Loss: 0.2510	LR: 0.000800
Training Epoch: 16 [40960/46250]	Loss: 0.3381	LR: 0.000800
Training Epoch: 16 [41216/46250]	Loss: 0.2181	LR: 0.000800
Training Epoch: 16 [41472/46250]	Loss: 0.3487	LR: 0.000800
Training Epoch: 16 [41728/46250]	Loss: 0.2515	LR: 0.000800
Training Epoch: 16 [41984/46250]	Loss: 0.2347	LR: 0.000800
Training Epoch: 16 [42240/46250]	Loss: 0.2795	LR: 0.000800
Training Epoch: 16 [42496/46250]	Loss: 0.2457	LR: 0.000800
Training Epoch: 16 [42752/46250]	Loss: 0.3514	LR: 0.000800
Training Epoch: 16 [43008/46250]	Loss: 0.2581	LR: 0.000800
Training Epoch: 16 [43264/46250]	Loss: 0.2422	LR: 0.000800
Training Epoch: 16 [43520/46250]	Loss: 0.1952	LR: 0.000800
Training Epoch: 16 [43776/46250]	Loss: 0.2713	LR: 0.000800
Training Epoch: 16 [44032/46250]	Loss: 0.2737	LR: 0.000800
Training Epoch: 16 [44288/46250]	Loss: 0.2846	LR: 0.000800
Training Epoch: 16 [44544/46250]	Loss: 0.2848	LR: 0.000800
Training Epoch: 16 [44800/46250]	Loss: 0.2545	LR: 0.000800
Training Epoch: 16 [45056/46250]	Loss: 0.2911	LR: 0.000800
Training Epoch: 16 [45312/46250]	Loss: 0.2466	LR: 0.000800
Training Epoch: 16 [45568/46250]	Loss: 0.2711	LR: 0.000800
Training Epoch: 16 [45824/46250]	Loss: 0.2916	LR: 0.000800
Training Epoch: 16 [46080/46250]	Loss: 0.3089	LR: 0.000800
Training Epoch: 16 [46250/46250]	Loss: 0.3993	LR: 0.000800
Epoch 16 - Average Train Loss: 0.2815, Train Accuracy: 0.9022
Epoch 16 training time consumed: 28.19s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0013, Accuracy: 0.8904, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_07h_44m_59s/ResNet18-Cifar10-seed6-ret25-16-best.pth
Training Epoch: 17 [256/46250]	Loss: 0.3418	LR: 0.000800
Training Epoch: 17 [512/46250]	Loss: 0.2721	LR: 0.000800
Training Epoch: 17 [768/46250]	Loss: 0.2936	LR: 0.000800
Training Epoch: 17 [1024/46250]	Loss: 0.2080	LR: 0.000800
Training Epoch: 17 [1280/46250]	Loss: 0.3400	LR: 0.000800
Training Epoch: 17 [1536/46250]	Loss: 0.2151	LR: 0.000800
Training Epoch: 17 [1792/46250]	Loss: 0.2654	LR: 0.000800
Training Epoch: 17 [2048/46250]	Loss: 0.2949	LR: 0.000800
Training Epoch: 17 [2304/46250]	Loss: 0.2321	LR: 0.000800
Training Epoch: 17 [2560/46250]	Loss: 0.2299	LR: 0.000800
Training Epoch: 17 [2816/46250]	Loss: 0.2574	LR: 0.000800
Training Epoch: 17 [3072/46250]	Loss: 0.2471	LR: 0.000800
Training Epoch: 17 [3328/46250]	Loss: 0.2309	LR: 0.000800
Training Epoch: 17 [3584/46250]	Loss: 0.2872	LR: 0.000800
Training Epoch: 17 [3840/46250]	Loss: 0.2998	LR: 0.000800
Training Epoch: 17 [4096/46250]	Loss: 0.2524	LR: 0.000800
Training Epoch: 17 [4352/46250]	Loss: 0.2710	LR: 0.000800
Training Epoch: 17 [4608/46250]	Loss: 0.2457	LR: 0.000800
Training Epoch: 17 [4864/46250]	Loss: 0.2955	LR: 0.000800
Training Epoch: 17 [5120/46250]	Loss: 0.3465	LR: 0.000800
Training Epoch: 17 [5376/46250]	Loss: 0.2680	LR: 0.000800
Training Epoch: 17 [5632/46250]	Loss: 0.2188	LR: 0.000800
Training Epoch: 17 [5888/46250]	Loss: 0.3669	LR: 0.000800
Training Epoch: 17 [6144/46250]	Loss: 0.3215	LR: 0.000800
Training Epoch: 17 [6400/46250]	Loss: 0.2683	LR: 0.000800
Training Epoch: 17 [6656/46250]	Loss: 0.2720	LR: 0.000800
Training Epoch: 17 [6912/46250]	Loss: 0.2876	LR: 0.000800
Training Epoch: 17 [7168/46250]	Loss: 0.2663	LR: 0.000800
Training Epoch: 17 [7424/46250]	Loss: 0.2949	LR: 0.000800
Training Epoch: 17 [7680/46250]	Loss: 0.2559	LR: 0.000800
Training Epoch: 17 [7936/46250]	Loss: 0.3179	LR: 0.000800
Training Epoch: 17 [8192/46250]	Loss: 0.3243	LR: 0.000800
Training Epoch: 17 [8448/46250]	Loss: 0.2675	LR: 0.000800
Training Epoch: 17 [8704/46250]	Loss: 0.2249	LR: 0.000800
Training Epoch: 17 [8960/46250]	Loss: 0.2811	LR: 0.000800
Training Epoch: 17 [9216/46250]	Loss: 0.2740	LR: 0.000800
Training Epoch: 17 [9472/46250]	Loss: 0.2795	LR: 0.000800
Training Epoch: 17 [9728/46250]	Loss: 0.3201	LR: 0.000800
Training Epoch: 17 [9984/46250]	Loss: 0.2823	LR: 0.000800
Training Epoch: 17 [10240/46250]	Loss: 0.2593	LR: 0.000800
Training Epoch: 17 [10496/46250]	Loss: 0.3059	LR: 0.000800
Training Epoch: 17 [10752/46250]	Loss: 0.3032	LR: 0.000800
Training Epoch: 17 [11008/46250]	Loss: 0.2298	LR: 0.000800
Training Epoch: 17 [11264/46250]	Loss: 0.3076	LR: 0.000800
Training Epoch: 17 [11520/46250]	Loss: 0.2772	LR: 0.000800
Training Epoch: 17 [11776/46250]	Loss: 0.3595	LR: 0.000800
Training Epoch: 17 [12032/46250]	Loss: 0.3303	LR: 0.000800
Training Epoch: 17 [12288/46250]	Loss: 0.2817	LR: 0.000800
Training Epoch: 17 [12544/46250]	Loss: 0.2699	LR: 0.000800
Training Epoch: 17 [12800/46250]	Loss: 0.2586	LR: 0.000800
Training Epoch: 17 [13056/46250]	Loss: 0.2403	LR: 0.000800
Training Epoch: 17 [13312/46250]	Loss: 0.3007	LR: 0.000800
Training Epoch: 17 [13568/46250]	Loss: 0.2744	LR: 0.000800
Training Epoch: 17 [13824/46250]	Loss: 0.2408	LR: 0.000800
Training Epoch: 17 [14080/46250]	Loss: 0.3499	LR: 0.000800
Training Epoch: 17 [14336/46250]	Loss: 0.3560	LR: 0.000800
Training Epoch: 17 [14592/46250]	Loss: 0.2629	LR: 0.000800
Training Epoch: 17 [14848/46250]	Loss: 0.2899	LR: 0.000800
Training Epoch: 17 [15104/46250]	Loss: 0.2183	LR: 0.000800
Training Epoch: 17 [15360/46250]	Loss: 0.2970	LR: 0.000800
Training Epoch: 17 [15616/46250]	Loss: 0.2411	LR: 0.000800
Training Epoch: 17 [15872/46250]	Loss: 0.3111	LR: 0.000800
Training Epoch: 17 [16128/46250]	Loss: 0.2736	LR: 0.000800
Training Epoch: 17 [16384/46250]	Loss: 0.3109	LR: 0.000800
Training Epoch: 17 [16640/46250]	Loss: 0.3305	LR: 0.000800
Training Epoch: 17 [16896/46250]	Loss: 0.2994	LR: 0.000800
Training Epoch: 17 [17152/46250]	Loss: 0.3159	LR: 0.000800
Training Epoch: 17 [17408/46250]	Loss: 0.2786	LR: 0.000800
Training Epoch: 17 [17664/46250]	Loss: 0.2069	LR: 0.000800
Training Epoch: 17 [17920/46250]	Loss: 0.2331	LR: 0.000800
Training Epoch: 17 [18176/46250]	Loss: 0.3211	LR: 0.000800
Training Epoch: 17 [18432/46250]	Loss: 0.2904	LR: 0.000800
Training Epoch: 17 [18688/46250]	Loss: 0.2443	LR: 0.000800
Training Epoch: 17 [18944/46250]	Loss: 0.2686	LR: 0.000800
Training Epoch: 17 [19200/46250]	Loss: 0.2601	LR: 0.000800
Training Epoch: 17 [19456/46250]	Loss: 0.2465	LR: 0.000800
Training Epoch: 17 [19712/46250]	Loss: 0.3465	LR: 0.000800
Training Epoch: 17 [19968/46250]	Loss: 0.2922	LR: 0.000800
Training Epoch: 17 [20224/46250]	Loss: 0.1797	LR: 0.000800
Training Epoch: 17 [20480/46250]	Loss: 0.2376	LR: 0.000800
Training Epoch: 17 [20736/46250]	Loss: 0.2656	LR: 0.000800
Training Epoch: 17 [20992/46250]	Loss: 0.2800	LR: 0.000800
Training Epoch: 17 [21248/46250]	Loss: 0.3086	LR: 0.000800
Training Epoch: 17 [21504/46250]	Loss: 0.3500	LR: 0.000800
Training Epoch: 17 [21760/46250]	Loss: 0.2853	LR: 0.000800
Training Epoch: 17 [22016/46250]	Loss: 0.2835	LR: 0.000800
Training Epoch: 17 [22272/46250]	Loss: 0.2490	LR: 0.000800
Training Epoch: 17 [22528/46250]	Loss: 0.2892	LR: 0.000800
Training Epoch: 17 [22784/46250]	Loss: 0.2361	LR: 0.000800
Training Epoch: 17 [23040/46250]	Loss: 0.2872	LR: 0.000800
Training Epoch: 17 [23296/46250]	Loss: 0.2766	LR: 0.000800
Training Epoch: 17 [23552/46250]	Loss: 0.1853	LR: 0.000800
Training Epoch: 17 [23808/46250]	Loss: 0.2726	LR: 0.000800
Training Epoch: 17 [24064/46250]	Loss: 0.3775	LR: 0.000800
Training Epoch: 17 [24320/46250]	Loss: 0.2312	LR: 0.000800
Training Epoch: 17 [24576/46250]	Loss: 0.3483	LR: 0.000800
Training Epoch: 17 [24832/46250]	Loss: 0.2629	LR: 0.000800
Training Epoch: 17 [25088/46250]	Loss: 0.3080	LR: 0.000800
Training Epoch: 17 [25344/46250]	Loss: 0.2188	LR: 0.000800
Training Epoch: 17 [25600/46250]	Loss: 0.2877	LR: 0.000800
Training Epoch: 17 [25856/46250]	Loss: 0.3041	LR: 0.000800
Training Epoch: 17 [26112/46250]	Loss: 0.2451	LR: 0.000800
Training Epoch: 17 [26368/46250]	Loss: 0.3629	LR: 0.000800
Training Epoch: 17 [26624/46250]	Loss: 0.2803	LR: 0.000800
Training Epoch: 17 [26880/46250]	Loss: 0.2419	LR: 0.000800
Training Epoch: 17 [27136/46250]	Loss: 0.2265	LR: 0.000800
Training Epoch: 17 [27392/46250]	Loss: 0.2980	LR: 0.000800
Training Epoch: 17 [27648/46250]	Loss: 0.3180	LR: 0.000800
Training Epoch: 17 [27904/46250]	Loss: 0.2383	LR: 0.000800
Training Epoch: 17 [28160/46250]	Loss: 0.2997	LR: 0.000800
Training Epoch: 17 [28416/46250]	Loss: 0.3542	LR: 0.000800
Training Epoch: 17 [28672/46250]	Loss: 0.2427	LR: 0.000800
Training Epoch: 17 [28928/46250]	Loss: 0.3984	LR: 0.000800
Training Epoch: 17 [29184/46250]	Loss: 0.2500	LR: 0.000800
Training Epoch: 17 [29440/46250]	Loss: 0.3086	LR: 0.000800
Training Epoch: 17 [29696/46250]	Loss: 0.2917	LR: 0.000800
Training Epoch: 17 [29952/46250]	Loss: 0.3111	LR: 0.000800
Training Epoch: 17 [30208/46250]	Loss: 0.2444	LR: 0.000800
Training Epoch: 17 [30464/46250]	Loss: 0.2943	LR: 0.000800
Training Epoch: 17 [30720/46250]	Loss: 0.3380	LR: 0.000800
Training Epoch: 17 [30976/46250]	Loss: 0.2580	LR: 0.000800
Training Epoch: 17 [31232/46250]	Loss: 0.2337	LR: 0.000800
Training Epoch: 17 [31488/46250]	Loss: 0.2400	LR: 0.000800
Training Epoch: 17 [31744/46250]	Loss: 0.2652	LR: 0.000800
Training Epoch: 17 [32000/46250]	Loss: 0.3131	LR: 0.000800
Training Epoch: 17 [32256/46250]	Loss: 0.2816	LR: 0.000800
Training Epoch: 17 [32512/46250]	Loss: 0.2966	LR: 0.000800
Training Epoch: 17 [32768/46250]	Loss: 0.3222	LR: 0.000800
Training Epoch: 17 [33024/46250]	Loss: 0.2760	LR: 0.000800
Training Epoch: 17 [33280/46250]	Loss: 0.2948	LR: 0.000800
Training Epoch: 17 [33536/46250]	Loss: 0.2913	LR: 0.000800
Training Epoch: 17 [33792/46250]	Loss: 0.2711	LR: 0.000800
Training Epoch: 17 [34048/46250]	Loss: 0.3383	LR: 0.000800
Training Epoch: 17 [34304/46250]	Loss: 0.2860	LR: 0.000800
Training Epoch: 17 [34560/46250]	Loss: 0.3214	LR: 0.000800
Training Epoch: 17 [34816/46250]	Loss: 0.2685	LR: 0.000800
Training Epoch: 17 [35072/46250]	Loss: 0.1944	LR: 0.000800
Training Epoch: 17 [35328/46250]	Loss: 0.2707	LR: 0.000800
Training Epoch: 17 [35584/46250]	Loss: 0.2488	LR: 0.000800
Training Epoch: 17 [35840/46250]	Loss: 0.2807	LR: 0.000800
Training Epoch: 17 [36096/46250]	Loss: 0.3225	LR: 0.000800
Training Epoch: 17 [36352/46250]	Loss: 0.3652	LR: 0.000800
Training Epoch: 17 [36608/46250]	Loss: 0.2558	LR: 0.000800
Training Epoch: 17 [36864/46250]	Loss: 0.2486	LR: 0.000800
Training Epoch: 17 [37120/46250]	Loss: 0.3168	LR: 0.000800
Training Epoch: 17 [37376/46250]	Loss: 0.2563	LR: 0.000800
Training Epoch: 17 [37632/46250]	Loss: 0.2737	LR: 0.000800
Training Epoch: 17 [37888/46250]	Loss: 0.3410	LR: 0.000800
Training Epoch: 17 [38144/46250]	Loss: 0.2526	LR: 0.000800
Training Epoch: 17 [38400/46250]	Loss: 0.2333	LR: 0.000800
Training Epoch: 17 [38656/46250]	Loss: 0.2923	LR: 0.000800
Training Epoch: 17 [38912/46250]	Loss: 0.2364	LR: 0.000800
Training Epoch: 17 [39168/46250]	Loss: 0.2395	LR: 0.000800
Training Epoch: 17 [39424/46250]	Loss: 0.3264	LR: 0.000800
Training Epoch: 17 [39680/46250]	Loss: 0.2787	LR: 0.000800
Training Epoch: 17 [39936/46250]	Loss: 0.2024	LR: 0.000800
Training Epoch: 17 [40192/46250]	Loss: 0.2685	LR: 0.000800
Training Epoch: 17 [40448/46250]	Loss: 0.2030	LR: 0.000800
Training Epoch: 17 [40704/46250]	Loss: 0.2179	LR: 0.000800
Training Epoch: 17 [40960/46250]	Loss: 0.3078	LR: 0.000800
Training Epoch: 17 [41216/46250]	Loss: 0.2524	LR: 0.000800
Training Epoch: 17 [41472/46250]	Loss: 0.3556	LR: 0.000800
Training Epoch: 17 [41728/46250]	Loss: 0.2918	LR: 0.000800
Training Epoch: 17 [41984/46250]	Loss: 0.3257	LR: 0.000800
Training Epoch: 17 [42240/46250]	Loss: 0.3191	LR: 0.000800
Training Epoch: 17 [42496/46250]	Loss: 0.2577	LR: 0.000800
Training Epoch: 17 [42752/46250]	Loss: 0.3130	LR: 0.000800
Training Epoch: 17 [43008/46250]	Loss: 0.2737	LR: 0.000800
Training Epoch: 17 [43264/46250]	Loss: 0.3161	LR: 0.000800
Training Epoch: 17 [43520/46250]	Loss: 0.2071	LR: 0.000800
Training Epoch: 17 [43776/46250]	Loss: 0.2850	LR: 0.000800
Training Epoch: 17 [44032/46250]	Loss: 0.2352	LR: 0.000800
Training Epoch: 17 [44288/46250]	Loss: 0.3168	LR: 0.000800
Training Epoch: 17 [44544/46250]	Loss: 0.3512	LR: 0.000800
Training Epoch: 17 [44800/46250]	Loss: 0.2589	LR: 0.000800
Training Epoch: 17 [45056/46250]	Loss: 0.3508	LR: 0.000800
Training Epoch: 17 [45312/46250]	Loss: 0.2184	LR: 0.000800
Training Epoch: 17 [45568/46250]	Loss: 0.3183	LR: 0.000800
Training Epoch: 17 [45824/46250]	Loss: 0.2209	LR: 0.000800
Training Epoch: 17 [46080/46250]	Loss: 0.2498	LR: 0.000800
Training Epoch: 17 [46250/46250]	Loss: 0.2640	LR: 0.000800
Epoch 17 - Average Train Loss: 0.2804, Train Accuracy: 0.9007
Epoch 17 training time consumed: 28.04s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0013, Accuracy: 0.8885, Time consumed:1.05s
Training Epoch: 18 [256/46250]	Loss: 0.2708	LR: 0.000800
Training Epoch: 18 [512/46250]	Loss: 0.2935	LR: 0.000800
Training Epoch: 18 [768/46250]	Loss: 0.3829	LR: 0.000800
Training Epoch: 18 [1024/46250]	Loss: 0.2003	LR: 0.000800
Training Epoch: 18 [1280/46250]	Loss: 0.2689	LR: 0.000800
Training Epoch: 18 [1536/46250]	Loss: 0.3008	LR: 0.000800
Training Epoch: 18 [1792/46250]	Loss: 0.2645	LR: 0.000800
Training Epoch: 18 [2048/46250]	Loss: 0.2498	LR: 0.000800
Training Epoch: 18 [2304/46250]	Loss: 0.2491	LR: 0.000800
Training Epoch: 18 [2560/46250]	Loss: 0.2815	LR: 0.000800
Training Epoch: 18 [2816/46250]	Loss: 0.2392	LR: 0.000800
Training Epoch: 18 [3072/46250]	Loss: 0.2484	LR: 0.000800
Training Epoch: 18 [3328/46250]	Loss: 0.1836	LR: 0.000800
Training Epoch: 18 [3584/46250]	Loss: 0.3064	LR: 0.000800
Training Epoch: 18 [3840/46250]	Loss: 0.2988	LR: 0.000800
Training Epoch: 18 [4096/46250]	Loss: 0.2854	LR: 0.000800
Training Epoch: 18 [4352/46250]	Loss: 0.3229	LR: 0.000800
Training Epoch: 18 [4608/46250]	Loss: 0.2320	LR: 0.000800
Training Epoch: 18 [4864/46250]	Loss: 0.2577	LR: 0.000800
Training Epoch: 18 [5120/46250]	Loss: 0.3596	LR: 0.000800
Training Epoch: 18 [5376/46250]	Loss: 0.2891	LR: 0.000800
Training Epoch: 18 [5632/46250]	Loss: 0.2699	LR: 0.000800
Training Epoch: 18 [5888/46250]	Loss: 0.3074	LR: 0.000800
Training Epoch: 18 [6144/46250]	Loss: 0.2950	LR: 0.000800
Training Epoch: 18 [6400/46250]	Loss: 0.2633	LR: 0.000800
Training Epoch: 18 [6656/46250]	Loss: 0.2061	LR: 0.000800
Training Epoch: 18 [6912/46250]	Loss: 0.2519	LR: 0.000800
Training Epoch: 18 [7168/46250]	Loss: 0.2717	LR: 0.000800
Training Epoch: 18 [7424/46250]	Loss: 0.2980	LR: 0.000800
Training Epoch: 18 [7680/46250]	Loss: 0.2806	LR: 0.000800
Training Epoch: 18 [7936/46250]	Loss: 0.2893	LR: 0.000800
Training Epoch: 18 [8192/46250]	Loss: 0.2890	LR: 0.000800
Training Epoch: 18 [8448/46250]	Loss: 0.2768	LR: 0.000800
Training Epoch: 18 [8704/46250]	Loss: 0.3056	LR: 0.000800
Training Epoch: 18 [8960/46250]	Loss: 0.2430	LR: 0.000800
Training Epoch: 18 [9216/46250]	Loss: 0.3756	LR: 0.000800
Training Epoch: 18 [9472/46250]	Loss: 0.2201	LR: 0.000800
Training Epoch: 18 [9728/46250]	Loss: 0.2718	LR: 0.000800
Training Epoch: 18 [9984/46250]	Loss: 0.2327	LR: 0.000800
Training Epoch: 18 [10240/46250]	Loss: 0.2921	LR: 0.000800
Training Epoch: 18 [10496/46250]	Loss: 0.2758	LR: 0.000800
Training Epoch: 18 [10752/46250]	Loss: 0.2863	LR: 0.000800
Training Epoch: 18 [11008/46250]	Loss: 0.2846	LR: 0.000800
Training Epoch: 18 [11264/46250]	Loss: 0.3309	LR: 0.000800
Training Epoch: 18 [11520/46250]	Loss: 0.3233	LR: 0.000800
Training Epoch: 18 [11776/46250]	Loss: 0.3156	LR: 0.000800
Training Epoch: 18 [12032/46250]	Loss: 0.2091	LR: 0.000800
Training Epoch: 18 [12288/46250]	Loss: 0.2084	LR: 0.000800
Training Epoch: 18 [12544/46250]	Loss: 0.3270	LR: 0.000800
Training Epoch: 18 [12800/46250]	Loss: 0.2445	LR: 0.000800
Training Epoch: 18 [13056/46250]	Loss: 0.3301	LR: 0.000800
Training Epoch: 18 [13312/46250]	Loss: 0.3729	LR: 0.000800
Training Epoch: 18 [13568/46250]	Loss: 0.2459	LR: 0.000800
Training Epoch: 18 [13824/46250]	Loss: 0.2585	LR: 0.000800
Training Epoch: 18 [14080/46250]	Loss: 0.2348	LR: 0.000800
Training Epoch: 18 [14336/46250]	Loss: 0.2088	LR: 0.000800
Training Epoch: 18 [14592/46250]	Loss: 0.2816	LR: 0.000800
Training Epoch: 18 [14848/46250]	Loss: 0.2723	LR: 0.000800
Training Epoch: 18 [15104/46250]	Loss: 0.2140	LR: 0.000800
Training Epoch: 18 [15360/46250]	Loss: 0.2711	LR: 0.000800
Training Epoch: 18 [15616/46250]	Loss: 0.3045	LR: 0.000800
Training Epoch: 18 [15872/46250]	Loss: 0.2854	LR: 0.000800
Training Epoch: 18 [16128/46250]	Loss: 0.2346	LR: 0.000800
Training Epoch: 18 [16384/46250]	Loss: 0.3167	LR: 0.000800
Training Epoch: 18 [16640/46250]	Loss: 0.2298	LR: 0.000800
Training Epoch: 18 [16896/46250]	Loss: 0.2451	LR: 0.000800
Training Epoch: 18 [17152/46250]	Loss: 0.2178	LR: 0.000800
Training Epoch: 18 [17408/46250]	Loss: 0.3431	LR: 0.000800
Training Epoch: 18 [17664/46250]	Loss: 0.2536	LR: 0.000800
Training Epoch: 18 [17920/46250]	Loss: 0.2811	LR: 0.000800
Training Epoch: 18 [18176/46250]	Loss: 0.2048	LR: 0.000800
Training Epoch: 18 [18432/46250]	Loss: 0.2907	LR: 0.000800
Training Epoch: 18 [18688/46250]	Loss: 0.3299	LR: 0.000800
Training Epoch: 18 [18944/46250]	Loss: 0.2852	LR: 0.000800
Training Epoch: 18 [19200/46250]	Loss: 0.3526	LR: 0.000800
Training Epoch: 18 [19456/46250]	Loss: 0.2615	LR: 0.000800
Training Epoch: 18 [19712/46250]	Loss: 0.3098	LR: 0.000800
Training Epoch: 18 [19968/46250]	Loss: 0.3225	LR: 0.000800
Training Epoch: 18 [20224/46250]	Loss: 0.2823	LR: 0.000800
Training Epoch: 18 [20480/46250]	Loss: 0.3225	LR: 0.000800
Training Epoch: 18 [20736/46250]	Loss: 0.2763	LR: 0.000800
Training Epoch: 18 [20992/46250]	Loss: 0.2563	LR: 0.000800
Training Epoch: 18 [21248/46250]	Loss: 0.3387	LR: 0.000800
Training Epoch: 18 [21504/46250]	Loss: 0.2501	LR: 0.000800
Training Epoch: 18 [21760/46250]	Loss: 0.2843	LR: 0.000800
Training Epoch: 18 [22016/46250]	Loss: 0.3395	LR: 0.000800
Training Epoch: 18 [22272/46250]	Loss: 0.2949	LR: 0.000800
Training Epoch: 18 [22528/46250]	Loss: 0.2494	LR: 0.000800
Training Epoch: 18 [22784/46250]	Loss: 0.2736	LR: 0.000800
Training Epoch: 18 [23040/46250]	Loss: 0.2799	LR: 0.000800
Training Epoch: 18 [23296/46250]	Loss: 0.2779	LR: 0.000800
Training Epoch: 18 [23552/46250]	Loss: 0.2829	LR: 0.000800
Training Epoch: 18 [23808/46250]	Loss: 0.3600	LR: 0.000800
Training Epoch: 18 [24064/46250]	Loss: 0.2548	LR: 0.000800
Training Epoch: 18 [24320/46250]	Loss: 0.2836	LR: 0.000800
Training Epoch: 18 [24576/46250]	Loss: 0.3057	LR: 0.000800
Training Epoch: 18 [24832/46250]	Loss: 0.2317	LR: 0.000800
Training Epoch: 18 [25088/46250]	Loss: 0.2556	LR: 0.000800
Training Epoch: 18 [25344/46250]	Loss: 0.2783	LR: 0.000800
Training Epoch: 18 [25600/46250]	Loss: 0.3383	LR: 0.000800
Training Epoch: 18 [25856/46250]	Loss: 0.3077	LR: 0.000800
Training Epoch: 18 [26112/46250]	Loss: 0.2026	LR: 0.000800
Training Epoch: 18 [26368/46250]	Loss: 0.2978	LR: 0.000800
Training Epoch: 18 [26624/46250]	Loss: 0.3235	LR: 0.000800
Training Epoch: 18 [26880/46250]	Loss: 0.3266	LR: 0.000800
Training Epoch: 18 [27136/46250]	Loss: 0.2401	LR: 0.000800
Training Epoch: 18 [27392/46250]	Loss: 0.3091	LR: 0.000800
Training Epoch: 18 [27648/46250]	Loss: 0.2867	LR: 0.000800
Training Epoch: 18 [27904/46250]	Loss: 0.2618	LR: 0.000800
Training Epoch: 18 [28160/46250]	Loss: 0.2569	LR: 0.000800
Training Epoch: 18 [28416/46250]	Loss: 0.2794	LR: 0.000800
Training Epoch: 18 [28672/46250]	Loss: 0.1939	LR: 0.000800
Training Epoch: 18 [28928/46250]	Loss: 0.2566	LR: 0.000800
Training Epoch: 18 [29184/46250]	Loss: 0.3073	LR: 0.000800
Training Epoch: 18 [29440/46250]	Loss: 0.2423	LR: 0.000800
Training Epoch: 18 [29696/46250]	Loss: 0.2439	LR: 0.000800
Training Epoch: 18 [29952/46250]	Loss: 0.2578	LR: 0.000800
Training Epoch: 18 [30208/46250]	Loss: 0.3638	LR: 0.000800
Training Epoch: 18 [30464/46250]	Loss: 0.2623	LR: 0.000800
Training Epoch: 18 [30720/46250]	Loss: 0.3340	LR: 0.000800
Training Epoch: 18 [30976/46250]	Loss: 0.3346	LR: 0.000800
Training Epoch: 18 [31232/46250]	Loss: 0.3512	LR: 0.000800
Training Epoch: 18 [31488/46250]	Loss: 0.2701	LR: 0.000800
Training Epoch: 18 [31744/46250]	Loss: 0.2951	LR: 0.000800
Training Epoch: 18 [32000/46250]	Loss: 0.2562	LR: 0.000800
Training Epoch: 18 [32256/46250]	Loss: 0.3252	LR: 0.000800
Training Epoch: 18 [32512/46250]	Loss: 0.2906	LR: 0.000800
Training Epoch: 18 [32768/46250]	Loss: 0.3155	LR: 0.000800
Training Epoch: 18 [33024/46250]	Loss: 0.3239	LR: 0.000800
Training Epoch: 18 [33280/46250]	Loss: 0.2073	LR: 0.000800
Training Epoch: 18 [33536/46250]	Loss: 0.2318	LR: 0.000800
Training Epoch: 18 [33792/46250]	Loss: 0.3003	LR: 0.000800
Training Epoch: 18 [34048/46250]	Loss: 0.2310	LR: 0.000800
Training Epoch: 18 [34304/46250]	Loss: 0.3289	LR: 0.000800
Training Epoch: 18 [34560/46250]	Loss: 0.2763	LR: 0.000800
Training Epoch: 18 [34816/46250]	Loss: 0.2738	LR: 0.000800
Training Epoch: 18 [35072/46250]	Loss: 0.2921	LR: 0.000800
Training Epoch: 18 [35328/46250]	Loss: 0.2640	LR: 0.000800
Training Epoch: 18 [35584/46250]	Loss: 0.2854	LR: 0.000800
Training Epoch: 18 [35840/46250]	Loss: 0.3060	LR: 0.000800
Training Epoch: 18 [36096/46250]	Loss: 0.2633	LR: 0.000800
Training Epoch: 18 [36352/46250]	Loss: 0.2155	LR: 0.000800
Training Epoch: 18 [36608/46250]	Loss: 0.2330	LR: 0.000800
Training Epoch: 18 [36864/46250]	Loss: 0.2179	LR: 0.000800
Training Epoch: 18 [37120/46250]	Loss: 0.3050	LR: 0.000800
Training Epoch: 18 [37376/46250]	Loss: 0.3258	LR: 0.000800
Training Epoch: 18 [37632/46250]	Loss: 0.2711	LR: 0.000800
Training Epoch: 18 [37888/46250]	Loss: 0.2376	LR: 0.000800
Training Epoch: 18 [38144/46250]	Loss: 0.2637	LR: 0.000800
Training Epoch: 18 [38400/46250]	Loss: 0.3000	LR: 0.000800
Training Epoch: 18 [38656/46250]	Loss: 0.2150	LR: 0.000800
Training Epoch: 18 [38912/46250]	Loss: 0.2598	LR: 0.000800
Training Epoch: 18 [39168/46250]	Loss: 0.3058	LR: 0.000800
Training Epoch: 18 [39424/46250]	Loss: 0.3036	LR: 0.000800
Training Epoch: 18 [39680/46250]	Loss: 0.2787	LR: 0.000800
Training Epoch: 18 [39936/46250]	Loss: 0.2988	LR: 0.000800
Training Epoch: 18 [40192/46250]	Loss: 0.2131	LR: 0.000800
Training Epoch: 18 [40448/46250]	Loss: 0.2345	LR: 0.000800
Training Epoch: 18 [40704/46250]	Loss: 0.2462	LR: 0.000800
Training Epoch: 18 [40960/46250]	Loss: 0.1938	LR: 0.000800
Training Epoch: 18 [41216/46250]	Loss: 0.2537	LR: 0.000800
Training Epoch: 18 [41472/46250]	Loss: 0.2210	LR: 0.000800
Training Epoch: 18 [41728/46250]	Loss: 0.3248	LR: 0.000800
Training Epoch: 18 [41984/46250]	Loss: 0.2460	LR: 0.000800
Training Epoch: 18 [42240/46250]	Loss: 0.3051	LR: 0.000800
Training Epoch: 18 [42496/46250]	Loss: 0.2485	LR: 0.000800
Training Epoch: 18 [42752/46250]	Loss: 0.3068	LR: 0.000800
Training Epoch: 18 [43008/46250]	Loss: 0.3437	LR: 0.000800
Training Epoch: 18 [43264/46250]	Loss: 0.2591	LR: 0.000800
Training Epoch: 18 [43520/46250]	Loss: 0.2991	LR: 0.000800
Training Epoch: 18 [43776/46250]	Loss: 0.2908	LR: 0.000800
Training Epoch: 18 [44032/46250]	Loss: 0.2532	LR: 0.000800
Training Epoch: 18 [44288/46250]	Loss: 0.3016	LR: 0.000800
Training Epoch: 18 [44544/46250]	Loss: 0.2457	LR: 0.000800
Training Epoch: 18 [44800/46250]	Loss: 0.2044	LR: 0.000800
Training Epoch: 18 [45056/46250]	Loss: 0.2324	LR: 0.000800
Training Epoch: 18 [45312/46250]	Loss: 0.3080	LR: 0.000800
Training Epoch: 18 [45568/46250]	Loss: 0.2651	LR: 0.000800
Training Epoch: 18 [45824/46250]	Loss: 0.2596	LR: 0.000800
Training Epoch: 18 [46080/46250]	Loss: 0.2378	LR: 0.000800
Training Epoch: 18 [46250/46250]	Loss: 0.2339	LR: 0.000800
Epoch 18 - Average Train Loss: 0.2766, Train Accuracy: 0.9041
Epoch 18 training time consumed: 27.99s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0013, Accuracy: 0.8898, Time consumed:0.94s
Training Epoch: 19 [256/46250]	Loss: 0.2566	LR: 0.000800
Training Epoch: 19 [512/46250]	Loss: 0.2400	LR: 0.000800
Training Epoch: 19 [768/46250]	Loss: 0.2757	LR: 0.000800
Training Epoch: 19 [1024/46250]	Loss: 0.1961	LR: 0.000800
Training Epoch: 19 [1280/46250]	Loss: 0.2500	LR: 0.000800
Training Epoch: 19 [1536/46250]	Loss: 0.2488	LR: 0.000800
Training Epoch: 19 [1792/46250]	Loss: 0.2349	LR: 0.000800
Training Epoch: 19 [2048/46250]	Loss: 0.2869	LR: 0.000800
Training Epoch: 19 [2304/46250]	Loss: 0.2572	LR: 0.000800
Training Epoch: 19 [2560/46250]	Loss: 0.2446	LR: 0.000800
Training Epoch: 19 [2816/46250]	Loss: 0.2913	LR: 0.000800
Training Epoch: 19 [3072/46250]	Loss: 0.3174	LR: 0.000800
Training Epoch: 19 [3328/46250]	Loss: 0.2067	LR: 0.000800
Training Epoch: 19 [3584/46250]	Loss: 0.2540	LR: 0.000800
Training Epoch: 19 [3840/46250]	Loss: 0.3463	LR: 0.000800
Training Epoch: 19 [4096/46250]	Loss: 0.2559	LR: 0.000800
Training Epoch: 19 [4352/46250]	Loss: 0.3475	LR: 0.000800
Training Epoch: 19 [4608/46250]	Loss: 0.2916	LR: 0.000800
Training Epoch: 19 [4864/46250]	Loss: 0.3325	LR: 0.000800
Training Epoch: 19 [5120/46250]	Loss: 0.3160	LR: 0.000800
Training Epoch: 19 [5376/46250]	Loss: 0.2823	LR: 0.000800
Training Epoch: 19 [5632/46250]	Loss: 0.3195	LR: 0.000800
Training Epoch: 19 [5888/46250]	Loss: 0.2552	LR: 0.000800
Training Epoch: 19 [6144/46250]	Loss: 0.2908	LR: 0.000800
Training Epoch: 19 [6400/46250]	Loss: 0.2558	LR: 0.000800
Training Epoch: 19 [6656/46250]	Loss: 0.3007	LR: 0.000800
Training Epoch: 19 [6912/46250]	Loss: 0.3252	LR: 0.000800
Training Epoch: 19 [7168/46250]	Loss: 0.2657	LR: 0.000800
Training Epoch: 19 [7424/46250]	Loss: 0.2269	LR: 0.000800
Training Epoch: 19 [7680/46250]	Loss: 0.2183	LR: 0.000800
Training Epoch: 19 [7936/46250]	Loss: 0.2434	LR: 0.000800
Training Epoch: 19 [8192/46250]	Loss: 0.3213	LR: 0.000800
Training Epoch: 19 [8448/46250]	Loss: 0.3275	LR: 0.000800
Training Epoch: 19 [8704/46250]	Loss: 0.2439	LR: 0.000800
Training Epoch: 19 [8960/46250]	Loss: 0.2695	LR: 0.000800
Training Epoch: 19 [9216/46250]	Loss: 0.2607	LR: 0.000800
Training Epoch: 19 [9472/46250]	Loss: 0.2751	LR: 0.000800
Training Epoch: 19 [9728/46250]	Loss: 0.2708	LR: 0.000800
Training Epoch: 19 [9984/46250]	Loss: 0.2751	LR: 0.000800
Training Epoch: 19 [10240/46250]	Loss: 0.2165	LR: 0.000800
Training Epoch: 19 [10496/46250]	Loss: 0.3373	LR: 0.000800
Training Epoch: 19 [10752/46250]	Loss: 0.2888	LR: 0.000800
Training Epoch: 19 [11008/46250]	Loss: 0.3309	LR: 0.000800
Training Epoch: 19 [11264/46250]	Loss: 0.2741	LR: 0.000800
Training Epoch: 19 [11520/46250]	Loss: 0.3442	LR: 0.000800
Training Epoch: 19 [11776/46250]	Loss: 0.2426	LR: 0.000800
Training Epoch: 19 [12032/46250]	Loss: 0.2622	LR: 0.000800
Training Epoch: 19 [12288/46250]	Loss: 0.2730	LR: 0.000800
Training Epoch: 19 [12544/46250]	Loss: 0.2804	LR: 0.000800
Training Epoch: 19 [12800/46250]	Loss: 0.3597	LR: 0.000800
Training Epoch: 19 [13056/46250]	Loss: 0.2610	LR: 0.000800
Training Epoch: 19 [13312/46250]	Loss: 0.2630	LR: 0.000800
Training Epoch: 19 [13568/46250]	Loss: 0.3220	LR: 0.000800
Training Epoch: 19 [13824/46250]	Loss: 0.3354	LR: 0.000800
Training Epoch: 19 [14080/46250]	Loss: 0.3791	LR: 0.000800
Training Epoch: 19 [14336/46250]	Loss: 0.2647	LR: 0.000800
Training Epoch: 19 [14592/46250]	Loss: 0.3169	LR: 0.000800
Training Epoch: 19 [14848/46250]	Loss: 0.3009	LR: 0.000800
Training Epoch: 19 [15104/46250]	Loss: 0.2616	LR: 0.000800
Training Epoch: 19 [15360/46250]	Loss: 0.3492	LR: 0.000800
Training Epoch: 19 [15616/46250]	Loss: 0.2532	LR: 0.000800
Training Epoch: 19 [15872/46250]	Loss: 0.3031	LR: 0.000800
Training Epoch: 19 [16128/46250]	Loss: 0.3452	LR: 0.000800
Training Epoch: 19 [16384/46250]	Loss: 0.2646	LR: 0.000800
Training Epoch: 19 [16640/46250]	Loss: 0.2165	LR: 0.000800
Training Epoch: 19 [16896/46250]	Loss: 0.2940	LR: 0.000800
Training Epoch: 19 [17152/46250]	Loss: 0.3053	LR: 0.000800
Training Epoch: 19 [17408/46250]	Loss: 0.2573	LR: 0.000800
Training Epoch: 19 [17664/46250]	Loss: 0.2373	LR: 0.000800
Training Epoch: 19 [17920/46250]	Loss: 0.2712	LR: 0.000800
Training Epoch: 19 [18176/46250]	Loss: 0.3215	LR: 0.000800
Training Epoch: 19 [18432/46250]	Loss: 0.3602	LR: 0.000800
Training Epoch: 19 [18688/46250]	Loss: 0.2912	LR: 0.000800
Training Epoch: 19 [18944/46250]	Loss: 0.2521	LR: 0.000800
Training Epoch: 19 [19200/46250]	Loss: 0.3096	LR: 0.000800
Training Epoch: 19 [19456/46250]	Loss: 0.2551	LR: 0.000800
Training Epoch: 19 [19712/46250]	Loss: 0.3059	LR: 0.000800
Training Epoch: 19 [19968/46250]	Loss: 0.2982	LR: 0.000800
Training Epoch: 19 [20224/46250]	Loss: 0.3140	LR: 0.000800
Training Epoch: 19 [20480/46250]	Loss: 0.2743	LR: 0.000800
Training Epoch: 19 [20736/46250]	Loss: 0.2353	LR: 0.000800
Training Epoch: 19 [20992/46250]	Loss: 0.2812	LR: 0.000800
Training Epoch: 19 [21248/46250]	Loss: 0.1992	LR: 0.000800
Training Epoch: 19 [21504/46250]	Loss: 0.3382	LR: 0.000800
Training Epoch: 19 [21760/46250]	Loss: 0.2698	LR: 0.000800
Training Epoch: 19 [22016/46250]	Loss: 0.2874	LR: 0.000800
Training Epoch: 19 [22272/46250]	Loss: 0.2446	LR: 0.000800
Training Epoch: 19 [22528/46250]	Loss: 0.2686	LR: 0.000800
Training Epoch: 19 [22784/46250]	Loss: 0.3380	LR: 0.000800
Training Epoch: 19 [23040/46250]	Loss: 0.2844	LR: 0.000800
Training Epoch: 19 [23296/46250]	Loss: 0.2808	LR: 0.000800
Training Epoch: 19 [23552/46250]	Loss: 0.3183	LR: 0.000800
Training Epoch: 19 [23808/46250]	Loss: 0.2638	LR: 0.000800
Training Epoch: 19 [24064/46250]	Loss: 0.2928	LR: 0.000800
Training Epoch: 19 [24320/46250]	Loss: 0.3139	LR: 0.000800
Training Epoch: 19 [24576/46250]	Loss: 0.2652	LR: 0.000800
Training Epoch: 19 [24832/46250]	Loss: 0.2845	LR: 0.000800
Training Epoch: 19 [25088/46250]	Loss: 0.3797	LR: 0.000800
Training Epoch: 19 [25344/46250]	Loss: 0.2229	LR: 0.000800
Training Epoch: 19 [25600/46250]	Loss: 0.2398	LR: 0.000800
Training Epoch: 19 [25856/46250]	Loss: 0.2633	LR: 0.000800
Training Epoch: 19 [26112/46250]	Loss: 0.3507	LR: 0.000800
Training Epoch: 19 [26368/46250]	Loss: 0.2127	LR: 0.000800
Training Epoch: 19 [26624/46250]	Loss: 0.2550	LR: 0.000800
Training Epoch: 19 [26880/46250]	Loss: 0.2406	LR: 0.000800
Training Epoch: 19 [27136/46250]	Loss: 0.3201	LR: 0.000800
Training Epoch: 19 [27392/46250]	Loss: 0.2670	LR: 0.000800
Training Epoch: 19 [27648/46250]	Loss: 0.2574	LR: 0.000800
Training Epoch: 19 [27904/46250]	Loss: 0.2571	LR: 0.000800
Training Epoch: 19 [28160/46250]	Loss: 0.2321	LR: 0.000800
Training Epoch: 19 [28416/46250]	Loss: 0.2380	LR: 0.000800
Training Epoch: 19 [28672/46250]	Loss: 0.3055	LR: 0.000800
Training Epoch: 19 [28928/46250]	Loss: 0.3264	LR: 0.000800
Training Epoch: 19 [29184/46250]	Loss: 0.2614	LR: 0.000800
Training Epoch: 19 [29440/46250]	Loss: 0.2860	LR: 0.000800
Training Epoch: 19 [29696/46250]	Loss: 0.2579	LR: 0.000800
Training Epoch: 19 [29952/46250]	Loss: 0.2542	LR: 0.000800
Training Epoch: 19 [30208/46250]	Loss: 0.2236	LR: 0.000800
Training Epoch: 19 [30464/46250]	Loss: 0.3364	LR: 0.000800
Training Epoch: 19 [30720/46250]	Loss: 0.2972	LR: 0.000800
Training Epoch: 19 [30976/46250]	Loss: 0.2749	LR: 0.000800
Training Epoch: 19 [31232/46250]	Loss: 0.2111	LR: 0.000800
Training Epoch: 19 [31488/46250]	Loss: 0.2443	LR: 0.000800
Training Epoch: 19 [31744/46250]	Loss: 0.3357	LR: 0.000800
Training Epoch: 19 [32000/46250]	Loss: 0.2893	LR: 0.000800
Training Epoch: 19 [32256/46250]	Loss: 0.2193	LR: 0.000800
Training Epoch: 19 [32512/46250]	Loss: 0.2325	LR: 0.000800
Training Epoch: 19 [32768/46250]	Loss: 0.2043	LR: 0.000800
Training Epoch: 19 [33024/46250]	Loss: 0.2358	LR: 0.000800
Training Epoch: 19 [33280/46250]	Loss: 0.2416	LR: 0.000800
Training Epoch: 19 [33536/46250]	Loss: 0.2685	LR: 0.000800
Training Epoch: 19 [33792/46250]	Loss: 0.3178	LR: 0.000800
Training Epoch: 19 [34048/46250]	Loss: 0.2117	LR: 0.000800
Training Epoch: 19 [34304/46250]	Loss: 0.2582	LR: 0.000800
Training Epoch: 19 [34560/46250]	Loss: 0.3060	LR: 0.000800
Training Epoch: 19 [34816/46250]	Loss: 0.3073	LR: 0.000800
Training Epoch: 19 [35072/46250]	Loss: 0.2682	LR: 0.000800
Training Epoch: 19 [35328/46250]	Loss: 0.2530	LR: 0.000800
Training Epoch: 19 [35584/46250]	Loss: 0.3479	LR: 0.000800
Training Epoch: 19 [35840/46250]	Loss: 0.2295	LR: 0.000800
Training Epoch: 19 [36096/46250]	Loss: 0.2674	LR: 0.000800
Training Epoch: 19 [36352/46250]	Loss: 0.2866	LR: 0.000800
Training Epoch: 19 [36608/46250]	Loss: 0.2434	LR: 0.000800
Training Epoch: 19 [36864/46250]	Loss: 0.2998	LR: 0.000800
Training Epoch: 19 [37120/46250]	Loss: 0.3297	LR: 0.000800
Training Epoch: 19 [37376/46250]	Loss: 0.2706	LR: 0.000800
Training Epoch: 19 [37632/46250]	Loss: 0.2267	LR: 0.000800
Training Epoch: 19 [37888/46250]	Loss: 0.2722	LR: 0.000800
Training Epoch: 19 [38144/46250]	Loss: 0.3134	LR: 0.000800
Training Epoch: 19 [38400/46250]	Loss: 0.2258	LR: 0.000800
Training Epoch: 19 [38656/46250]	Loss: 0.2354	LR: 0.000800
Training Epoch: 19 [38912/46250]	Loss: 0.2919	LR: 0.000800
Training Epoch: 19 [39168/46250]	Loss: 0.2510	LR: 0.000800
Training Epoch: 19 [39424/46250]	Loss: 0.3313	LR: 0.000800
Training Epoch: 19 [39680/46250]	Loss: 0.2339	LR: 0.000800
Training Epoch: 19 [39936/46250]	Loss: 0.2892	LR: 0.000800
Training Epoch: 19 [40192/46250]	Loss: 0.3473	LR: 0.000800
Training Epoch: 19 [40448/46250]	Loss: 0.1992	LR: 0.000800
Training Epoch: 19 [40704/46250]	Loss: 0.2331	LR: 0.000800
Training Epoch: 19 [40960/46250]	Loss: 0.2976	LR: 0.000800
Training Epoch: 19 [41216/46250]	Loss: 0.3327	LR: 0.000800
Training Epoch: 19 [41472/46250]	Loss: 0.3327	LR: 0.000800
Training Epoch: 19 [41728/46250]	Loss: 0.2134	LR: 0.000800
Training Epoch: 19 [41984/46250]	Loss: 0.2904	LR: 0.000800
Training Epoch: 19 [42240/46250]	Loss: 0.2405	LR: 0.000800
Training Epoch: 19 [42496/46250]	Loss: 0.2117	LR: 0.000800
Training Epoch: 19 [42752/46250]	Loss: 0.2157	LR: 0.000800
Training Epoch: 19 [43008/46250]	Loss: 0.2660	LR: 0.000800
Training Epoch: 19 [43264/46250]	Loss: 0.2481	LR: 0.000800
Training Epoch: 19 [43520/46250]	Loss: 0.2310	LR: 0.000800
Training Epoch: 19 [43776/46250]	Loss: 0.3014	LR: 0.000800
Training Epoch: 19 [44032/46250]	Loss: 0.2622	LR: 0.000800
Training Epoch: 19 [44288/46250]	Loss: 0.3462	LR: 0.000800
Training Epoch: 19 [44544/46250]	Loss: 0.3024	LR: 0.000800
Training Epoch: 19 [44800/46250]	Loss: 0.2318	LR: 0.000800
Training Epoch: 19 [45056/46250]	Loss: 0.2945	LR: 0.000800
Training Epoch: 19 [45312/46250]	Loss: 0.2357	LR: 0.000800
Training Epoch: 19 [45568/46250]	Loss: 0.2431	LR: 0.000800
Training Epoch: 19 [45824/46250]	Loss: 0.2836	LR: 0.000800
Training Epoch: 19 [46080/46250]	Loss: 0.3211	LR: 0.000800
Training Epoch: 19 [46250/46250]	Loss: 0.3317	LR: 0.000800
Epoch 19 - Average Train Loss: 0.2770, Train Accuracy: 0.9034
Epoch 19 training time consumed: 27.88s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0013, Accuracy: 0.8902, Time consumed:0.95s
Training Epoch: 20 [256/46250]	Loss: 0.2781	LR: 0.000800
Training Epoch: 20 [512/46250]	Loss: 0.2815	LR: 0.000800
Training Epoch: 20 [768/46250]	Loss: 0.3125	LR: 0.000800
Training Epoch: 20 [1024/46250]	Loss: 0.2866	LR: 0.000800
Training Epoch: 20 [1280/46250]	Loss: 0.2460	LR: 0.000800
Training Epoch: 20 [1536/46250]	Loss: 0.2906	LR: 0.000800
Training Epoch: 20 [1792/46250]	Loss: 0.2684	LR: 0.000800
Training Epoch: 20 [2048/46250]	Loss: 0.3196	LR: 0.000800
Training Epoch: 20 [2304/46250]	Loss: 0.2575	LR: 0.000800
Training Epoch: 20 [2560/46250]	Loss: 0.2138	LR: 0.000800
Training Epoch: 20 [2816/46250]	Loss: 0.2027	LR: 0.000800
Training Epoch: 20 [3072/46250]	Loss: 0.3169	LR: 0.000800
Training Epoch: 20 [3328/46250]	Loss: 0.2912	LR: 0.000800
Training Epoch: 20 [3584/46250]	Loss: 0.2977	LR: 0.000800
Training Epoch: 20 [3840/46250]	Loss: 0.2630	LR: 0.000800
Training Epoch: 20 [4096/46250]	Loss: 0.1755	LR: 0.000800
Training Epoch: 20 [4352/46250]	Loss: 0.2834	LR: 0.000800
Training Epoch: 20 [4608/46250]	Loss: 0.2446	LR: 0.000800
Training Epoch: 20 [4864/46250]	Loss: 0.2882	LR: 0.000800
Training Epoch: 20 [5120/46250]	Loss: 0.2559	LR: 0.000800
Training Epoch: 20 [5376/46250]	Loss: 0.3379	LR: 0.000800
Training Epoch: 20 [5632/46250]	Loss: 0.2813	LR: 0.000800
Training Epoch: 20 [5888/46250]	Loss: 0.3072	LR: 0.000800
Training Epoch: 20 [6144/46250]	Loss: 0.3015	LR: 0.000800
Training Epoch: 20 [6400/46250]	Loss: 0.2759	LR: 0.000800
Training Epoch: 20 [6656/46250]	Loss: 0.3087	LR: 0.000800
Training Epoch: 20 [6912/46250]	Loss: 0.2767	LR: 0.000800
Training Epoch: 20 [7168/46250]	Loss: 0.1800	LR: 0.000800
Training Epoch: 20 [7424/46250]	Loss: 0.2882	LR: 0.000800
Training Epoch: 20 [7680/46250]	Loss: 0.2926	LR: 0.000800
Training Epoch: 20 [7936/46250]	Loss: 0.2799	LR: 0.000800
Training Epoch: 20 [8192/46250]	Loss: 0.2399	LR: 0.000800
Training Epoch: 20 [8448/46250]	Loss: 0.2655	LR: 0.000800
Training Epoch: 20 [8704/46250]	Loss: 0.2131	LR: 0.000800
Training Epoch: 20 [8960/46250]	Loss: 0.1664	LR: 0.000800
Training Epoch: 20 [9216/46250]	Loss: 0.2348	LR: 0.000800
Training Epoch: 20 [9472/46250]	Loss: 0.2611	LR: 0.000800
Training Epoch: 20 [9728/46250]	Loss: 0.1843	LR: 0.000800
Training Epoch: 20 [9984/46250]	Loss: 0.2494	LR: 0.000800
Training Epoch: 20 [10240/46250]	Loss: 0.3434	LR: 0.000800
Training Epoch: 20 [10496/46250]	Loss: 0.2189	LR: 0.000800
Training Epoch: 20 [10752/46250]	Loss: 0.2399	LR: 0.000800
Training Epoch: 20 [11008/46250]	Loss: 0.3113	LR: 0.000800
Training Epoch: 20 [11264/46250]	Loss: 0.2983	LR: 0.000800
Training Epoch: 20 [11520/46250]	Loss: 0.3129	LR: 0.000800
Training Epoch: 20 [11776/46250]	Loss: 0.3103	LR: 0.000800
Training Epoch: 20 [12032/46250]	Loss: 0.2538	LR: 0.000800
Training Epoch: 20 [12288/46250]	Loss: 0.2001	LR: 0.000800
Training Epoch: 20 [12544/46250]	Loss: 0.2915	LR: 0.000800
Training Epoch: 20 [12800/46250]	Loss: 0.3058	LR: 0.000800
Training Epoch: 20 [13056/46250]	Loss: 0.2277	LR: 0.000800
Training Epoch: 20 [13312/46250]	Loss: 0.2913	LR: 0.000800
Training Epoch: 20 [13568/46250]	Loss: 0.3108	LR: 0.000800
Training Epoch: 20 [13824/46250]	Loss: 0.3420	LR: 0.000800
Training Epoch: 20 [14080/46250]	Loss: 0.2719	LR: 0.000800
Training Epoch: 20 [14336/46250]	Loss: 0.2551	LR: 0.000800
Training Epoch: 20 [14592/46250]	Loss: 0.3228	LR: 0.000800
Training Epoch: 20 [14848/46250]	Loss: 0.2378	LR: 0.000800
Training Epoch: 20 [15104/46250]	Loss: 0.2596	LR: 0.000800
Training Epoch: 20 [15360/46250]	Loss: 0.3133	LR: 0.000800
Training Epoch: 20 [15616/46250]	Loss: 0.2546	LR: 0.000800
Training Epoch: 20 [15872/46250]	Loss: 0.2678	LR: 0.000800
Training Epoch: 20 [16128/46250]	Loss: 0.2081	LR: 0.000800
Training Epoch: 20 [16384/46250]	Loss: 0.2500	LR: 0.000800
Training Epoch: 20 [16640/46250]	Loss: 0.2735	LR: 0.000800
Training Epoch: 20 [16896/46250]	Loss: 0.2825	LR: 0.000800
Training Epoch: 20 [17152/46250]	Loss: 0.2465	LR: 0.000800
Training Epoch: 20 [17408/46250]	Loss: 0.2388	LR: 0.000800
Training Epoch: 20 [17664/46250]	Loss: 0.2572	LR: 0.000800
Training Epoch: 20 [17920/46250]	Loss: 0.4008	LR: 0.000800
Training Epoch: 20 [18176/46250]	Loss: 0.2765	LR: 0.000800
Training Epoch: 20 [18432/46250]	Loss: 0.2370	LR: 0.000800
Training Epoch: 20 [18688/46250]	Loss: 0.3659	LR: 0.000800
Training Epoch: 20 [18944/46250]	Loss: 0.2829	LR: 0.000800
Training Epoch: 20 [19200/46250]	Loss: 0.1961	LR: 0.000800
Training Epoch: 20 [19456/46250]	Loss: 0.2632	LR: 0.000800
Training Epoch: 20 [19712/46250]	Loss: 0.2819	LR: 0.000800
Training Epoch: 20 [19968/46250]	Loss: 0.2446	LR: 0.000800
Training Epoch: 20 [20224/46250]	Loss: 0.3027	LR: 0.000800
Training Epoch: 20 [20480/46250]	Loss: 0.2777	LR: 0.000800
Training Epoch: 20 [20736/46250]	Loss: 0.3149	LR: 0.000800
Training Epoch: 20 [20992/46250]	Loss: 0.2493	LR: 0.000800
Training Epoch: 20 [21248/46250]	Loss: 0.2163	LR: 0.000800
Training Epoch: 20 [21504/46250]	Loss: 0.2272	LR: 0.000800
Training Epoch: 20 [21760/46250]	Loss: 0.3105	LR: 0.000800
Training Epoch: 20 [22016/46250]	Loss: 0.2266	LR: 0.000800
Training Epoch: 20 [22272/46250]	Loss: 0.3010	LR: 0.000800
Training Epoch: 20 [22528/46250]	Loss: 0.2530	LR: 0.000800
Training Epoch: 20 [22784/46250]	Loss: 0.2605	LR: 0.000800
Training Epoch: 20 [23040/46250]	Loss: 0.3030	LR: 0.000800
Training Epoch: 20 [23296/46250]	Loss: 0.2660	LR: 0.000800
Training Epoch: 20 [23552/46250]	Loss: 0.2577	LR: 0.000800
Training Epoch: 20 [23808/46250]	Loss: 0.2686	LR: 0.000800
Training Epoch: 20 [24064/46250]	Loss: 0.2564	LR: 0.000800
Training Epoch: 20 [24320/46250]	Loss: 0.2599	LR: 0.000800
Training Epoch: 20 [24576/46250]	Loss: 0.2206	LR: 0.000800
Training Epoch: 20 [24832/46250]	Loss: 0.3010	LR: 0.000800
Training Epoch: 20 [25088/46250]	Loss: 0.2938	LR: 0.000800
Training Epoch: 20 [25344/46250]	Loss: 0.2676	LR: 0.000800
Training Epoch: 20 [25600/46250]	Loss: 0.2860	LR: 0.000800
Training Epoch: 20 [25856/46250]	Loss: 0.2149	LR: 0.000800
Training Epoch: 20 [26112/46250]	Loss: 0.2568	LR: 0.000800
Training Epoch: 20 [26368/46250]	Loss: 0.3059	LR: 0.000800
Training Epoch: 20 [26624/46250]	Loss: 0.2749	LR: 0.000800
Training Epoch: 20 [26880/46250]	Loss: 0.2773	LR: 0.000800
Training Epoch: 20 [27136/46250]	Loss: 0.3187	LR: 0.000800
Training Epoch: 20 [27392/46250]	Loss: 0.3103	LR: 0.000800
Training Epoch: 20 [27648/46250]	Loss: 0.3246	LR: 0.000800
Training Epoch: 20 [27904/46250]	Loss: 0.3696	LR: 0.000800
Training Epoch: 20 [28160/46250]	Loss: 0.2991	LR: 0.000800
Training Epoch: 20 [28416/46250]	Loss: 0.3860	LR: 0.000800
Training Epoch: 20 [28672/46250]	Loss: 0.3039	LR: 0.000800
Training Epoch: 20 [28928/46250]	Loss: 0.2888	LR: 0.000800
Training Epoch: 20 [29184/46250]	Loss: 0.2100	LR: 0.000800
Training Epoch: 20 [29440/46250]	Loss: 0.2293	LR: 0.000800
Training Epoch: 20 [29696/46250]	Loss: 0.2031	LR: 0.000800
Training Epoch: 20 [29952/46250]	Loss: 0.2722	LR: 0.000800
Training Epoch: 20 [30208/46250]	Loss: 0.2595	LR: 0.000800
Training Epoch: 20 [30464/46250]	Loss: 0.2113	LR: 0.000800
Training Epoch: 20 [30720/46250]	Loss: 0.2689	LR: 0.000800
Training Epoch: 20 [30976/46250]	Loss: 0.3087	LR: 0.000800
Training Epoch: 20 [31232/46250]	Loss: 0.3099	LR: 0.000800
Training Epoch: 20 [31488/46250]	Loss: 0.2061	LR: 0.000800
Training Epoch: 20 [31744/46250]	Loss: 0.2685	LR: 0.000800
Training Epoch: 20 [32000/46250]	Loss: 0.3662	LR: 0.000800
Training Epoch: 20 [32256/46250]	Loss: 0.2305	LR: 0.000800
Training Epoch: 20 [32512/46250]	Loss: 0.2936	LR: 0.000800
Training Epoch: 20 [32768/46250]	Loss: 0.2467	LR: 0.000800
Training Epoch: 20 [33024/46250]	Loss: 0.2277	LR: 0.000800
Training Epoch: 20 [33280/46250]	Loss: 0.2525	LR: 0.000800
Training Epoch: 20 [33536/46250]	Loss: 0.2947	LR: 0.000800
Training Epoch: 20 [33792/46250]	Loss: 0.2949	LR: 0.000800
Training Epoch: 20 [34048/46250]	Loss: 0.2838	LR: 0.000800
Training Epoch: 20 [34304/46250]	Loss: 0.2586	LR: 0.000800
Training Epoch: 20 [34560/46250]	Loss: 0.2776	LR: 0.000800
Training Epoch: 20 [34816/46250]	Loss: 0.2434	LR: 0.000800
Training Epoch: 20 [35072/46250]	Loss: 0.3007	LR: 0.000800
Training Epoch: 20 [35328/46250]	Loss: 0.2493	LR: 0.000800
Training Epoch: 20 [35584/46250]	Loss: 0.2483	LR: 0.000800
Training Epoch: 20 [35840/46250]	Loss: 0.2612	LR: 0.000800
Training Epoch: 20 [36096/46250]	Loss: 0.2861	LR: 0.000800
Training Epoch: 20 [36352/46250]	Loss: 0.3453	LR: 0.000800
Training Epoch: 20 [36608/46250]	Loss: 0.2461	LR: 0.000800
Training Epoch: 20 [36864/46250]	Loss: 0.3233	LR: 0.000800
Training Epoch: 20 [37120/46250]	Loss: 0.2714	LR: 0.000800
Training Epoch: 20 [37376/46250]	Loss: 0.2990	LR: 0.000800
Training Epoch: 20 [37632/46250]	Loss: 0.3065	LR: 0.000800
Training Epoch: 20 [37888/46250]	Loss: 0.2881	LR: 0.000800
Training Epoch: 20 [38144/46250]	Loss: 0.3277	LR: 0.000800
Training Epoch: 20 [38400/46250]	Loss: 0.1923	LR: 0.000800
Training Epoch: 20 [38656/46250]	Loss: 0.2596	LR: 0.000800
Training Epoch: 20 [38912/46250]	Loss: 0.2244	LR: 0.000800
Training Epoch: 20 [39168/46250]	Loss: 0.2048	LR: 0.000800
Training Epoch: 20 [39424/46250]	Loss: 0.2464	LR: 0.000800
Training Epoch: 20 [39680/46250]	Loss: 0.2525	LR: 0.000800
Training Epoch: 20 [39936/46250]	Loss: 0.2422	LR: 0.000800
Training Epoch: 20 [40192/46250]	Loss: 0.3153	LR: 0.000800
Training Epoch: 20 [40448/46250]	Loss: 0.3062	LR: 0.000800
Training Epoch: 20 [40704/46250]	Loss: 0.2892	LR: 0.000800
Training Epoch: 20 [40960/46250]	Loss: 0.3344	LR: 0.000800
Training Epoch: 20 [41216/46250]	Loss: 0.2874	LR: 0.000800
Training Epoch: 20 [41472/46250]	Loss: 0.3659	LR: 0.000800
Training Epoch: 20 [41728/46250]	Loss: 0.2154	LR: 0.000800
Training Epoch: 20 [41984/46250]	Loss: 0.2319	LR: 0.000800
Training Epoch: 20 [42240/46250]	Loss: 0.2234	LR: 0.000800
Training Epoch: 20 [42496/46250]	Loss: 0.3141	LR: 0.000800
Training Epoch: 20 [42752/46250]	Loss: 0.2668	LR: 0.000800
Training Epoch: 20 [43008/46250]	Loss: 0.2764	LR: 0.000800
Training Epoch: 20 [43264/46250]	Loss: 0.3355	LR: 0.000800
Training Epoch: 20 [43520/46250]	Loss: 0.2490	LR: 0.000800
Training Epoch: 20 [43776/46250]	Loss: 0.2924	LR: 0.000800
Training Epoch: 20 [44032/46250]	Loss: 0.3768	LR: 0.000800
Training Epoch: 20 [44288/46250]	Loss: 0.2887	LR: 0.000800
Training Epoch: 20 [44544/46250]	Loss: 0.3600	LR: 0.000800
Training Epoch: 20 [44800/46250]	Loss: 0.3191	LR: 0.000800
Training Epoch: 20 [45056/46250]	Loss: 0.2916	LR: 0.000800
Training Epoch: 20 [45312/46250]	Loss: 0.3003	LR: 0.000800
Training Epoch: 20 [45568/46250]	Loss: 0.2596	LR: 0.000800
Training Epoch: 20 [45824/46250]	Loss: 0.2943	LR: 0.000800
Training Epoch: 20 [46080/46250]	Loss: 0.2959	LR: 0.000800
Training Epoch: 20 [46250/46250]	Loss: 0.2314	LR: 0.000800
Epoch 20 - Average Train Loss: 0.2743, Train Accuracy: 0.9049
Epoch 20 training time consumed: 27.95s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0013, Accuracy: 0.8887, Time consumed:0.95s
Valid (Test) Dl:  10000
Train Dl:  50000
Retain Train Dl:  46250
Forget Train Dl:  3750
Retain Valid Dl:  46250
Forget Valid Dl:  3750
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 3750 samples
Set1 Distribution: 3750 samples
Set2 Distribution: 3750 samples
MIA Attack Accuracy with XGBoost: 0.7533
Set1 Distribution: 3750 samples
Set2 Distribution: 3750 samples
MIA Attack Accuracy with XGBoost: 0.5053
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
MIA Attack Accuracy with XGBoost: 0.6505
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
MIA Attack Accuracy with XGBoost: 0.5105
Test Accuracy: 91.552734375
Retain Accuracy: 93.98734283447266
Zero-Retain Forget (ZRF): 0.8193813562393188
Membership Inference Attack (MIA): 0.6885333333333333
Forget vs Retain Membership Inference Attack (MIA): 0.7533333333333333
Forget vs Test Membership Inference Attack (MIA): 0.5053333333333333
Test vs Retain Membership Inference Attack (MIA): 0.6505
Train vs Test Membership Inference Attack (MIA): 0.5105
Forget Set Accuracy (Df): 93.83566284179688
Method Execution Time: 2362.99 seconds
