
Retain class distribution for seed 8:
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 8:
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: 2.3912	LR: 0.000000
Training Epoch: 1 [512/46250]	Loss: 2.4201	LR: 0.000552
Training Epoch: 1 [768/46250]	Loss: 2.3991	LR: 0.001105
Training Epoch: 1 [1024/46250]	Loss: 2.3624	LR: 0.001657
Training Epoch: 1 [1280/46250]	Loss: 2.3168	LR: 0.002210
Training Epoch: 1 [1536/46250]	Loss: 2.2838	LR: 0.002762
Training Epoch: 1 [1792/46250]	Loss: 2.2471	LR: 0.003315
Training Epoch: 1 [2048/46250]	Loss: 2.2244	LR: 0.003867
Training Epoch: 1 [2304/46250]	Loss: 2.1945	LR: 0.004420
Training Epoch: 1 [2560/46250]	Loss: 2.3158	LR: 0.004972
Training Epoch: 1 [2816/46250]	Loss: 2.2635	LR: 0.005525
Training Epoch: 1 [3072/46250]	Loss: 2.2144	LR: 0.006077
Training Epoch: 1 [3328/46250]	Loss: 2.1649	LR: 0.006630
Training Epoch: 1 [3584/46250]	Loss: 2.1259	LR: 0.007182
Training Epoch: 1 [3840/46250]	Loss: 2.0847	LR: 0.007735
Training Epoch: 1 [4096/46250]	Loss: 1.9917	LR: 0.008287
Training Epoch: 1 [4352/46250]	Loss: 1.9333	LR: 0.008840
Training Epoch: 1 [4608/46250]	Loss: 1.9282	LR: 0.009392
Training Epoch: 1 [4864/46250]	Loss: 1.9406	LR: 0.009945
Training Epoch: 1 [5120/46250]	Loss: 1.9623	LR: 0.010497
Training Epoch: 1 [5376/46250]	Loss: 1.9011	LR: 0.011050
Training Epoch: 1 [5632/46250]	Loss: 1.8993	LR: 0.011602
Training Epoch: 1 [5888/46250]	Loss: 1.9151	LR: 0.012155
Training Epoch: 1 [6144/46250]	Loss: 1.8292	LR: 0.012707
Training Epoch: 1 [6400/46250]	Loss: 1.9490	LR: 0.013260
Training Epoch: 1 [6656/46250]	Loss: 1.8953	LR: 0.013812
Training Epoch: 1 [6912/46250]	Loss: 1.8985	LR: 0.014365
Training Epoch: 1 [7168/46250]	Loss: 1.8824	LR: 0.014917
Training Epoch: 1 [7424/46250]	Loss: 1.9336	LR: 0.015470
Training Epoch: 1 [7680/46250]	Loss: 1.8563	LR: 0.016022
Training Epoch: 1 [7936/46250]	Loss: 1.7568	LR: 0.016575
Training Epoch: 1 [8192/46250]	Loss: 1.8072	LR: 0.017127
Training Epoch: 1 [8448/46250]	Loss: 1.7973	LR: 0.017680
Training Epoch: 1 [8704/46250]	Loss: 1.6654	LR: 0.018232
Training Epoch: 1 [8960/46250]	Loss: 1.7754	LR: 0.018785
Training Epoch: 1 [9216/46250]	Loss: 1.7950	LR: 0.019337
Training Epoch: 1 [9472/46250]	Loss: 1.8461	LR: 0.019890
Training Epoch: 1 [9728/46250]	Loss: 1.8146	LR: 0.020442
Training Epoch: 1 [9984/46250]	Loss: 1.7797	LR: 0.020994
Training Epoch: 1 [10240/46250]	Loss: 1.9778	LR: 0.021547
Training Epoch: 1 [10496/46250]	Loss: 1.7474	LR: 0.022099
Training Epoch: 1 [10752/46250]	Loss: 1.8981	LR: 0.022652
Training Epoch: 1 [11008/46250]	Loss: 1.7951	LR: 0.023204
Training Epoch: 1 [11264/46250]	Loss: 1.6456	LR: 0.023757
Training Epoch: 1 [11520/46250]	Loss: 1.7319	LR: 0.024309
Training Epoch: 1 [11776/46250]	Loss: 1.7606	LR: 0.024862
Training Epoch: 1 [12032/46250]	Loss: 1.7150	LR: 0.025414
Training Epoch: 1 [12288/46250]	Loss: 1.7248	LR: 0.025967
Training Epoch: 1 [12544/46250]	Loss: 1.8672	LR: 0.026519
Training Epoch: 1 [12800/46250]	Loss: 1.8183	LR: 0.027072
Training Epoch: 1 [13056/46250]	Loss: 1.7390	LR: 0.027624
Training Epoch: 1 [13312/46250]	Loss: 1.8363	LR: 0.028177
Training Epoch: 1 [13568/46250]	Loss: 1.8002	LR: 0.028729
Training Epoch: 1 [13824/46250]	Loss: 1.6000	LR: 0.029282
Training Epoch: 1 [14080/46250]	Loss: 1.7597	LR: 0.029834
Training Epoch: 1 [14336/46250]	Loss: 1.6962	LR: 0.030387
Training Epoch: 1 [14592/46250]	Loss: 1.6642	LR: 0.030939
Training Epoch: 1 [14848/46250]	Loss: 1.7029	LR: 0.031492
Training Epoch: 1 [15104/46250]	Loss: 1.9227	LR: 0.032044
Training Epoch: 1 [15360/46250]	Loss: 1.7079	LR: 0.032597
Training Epoch: 1 [15616/46250]	Loss: 1.7600	LR: 0.033149
Training Epoch: 1 [15872/46250]	Loss: 1.7930	LR: 0.033702
Training Epoch: 1 [16128/46250]	Loss: 1.8505	LR: 0.034254
Training Epoch: 1 [16384/46250]	Loss: 1.9218	LR: 0.034807
Training Epoch: 1 [16640/46250]	Loss: 1.8406	LR: 0.035359
Training Epoch: 1 [16896/46250]	Loss: 1.7561	LR: 0.035912
Training Epoch: 1 [17152/46250]	Loss: 1.6994	LR: 0.036464
Training Epoch: 1 [17408/46250]	Loss: 1.6963	LR: 0.037017
Training Epoch: 1 [17664/46250]	Loss: 1.7306	LR: 0.037569
Training Epoch: 1 [17920/46250]	Loss: 1.6537	LR: 0.038122
Training Epoch: 1 [18176/46250]	Loss: 1.6977	LR: 0.038674
Training Epoch: 1 [18432/46250]	Loss: 1.5673	LR: 0.039227
Training Epoch: 1 [18688/46250]	Loss: 1.6284	LR: 0.039779
Training Epoch: 1 [18944/46250]	Loss: 1.7039	LR: 0.040331
Training Epoch: 1 [19200/46250]	Loss: 1.6796	LR: 0.040884
Training Epoch: 1 [19456/46250]	Loss: 1.7232	LR: 0.041436
Training Epoch: 1 [19712/46250]	Loss: 1.7898	LR: 0.041989
Training Epoch: 1 [19968/46250]	Loss: 1.7875	LR: 0.042541
Training Epoch: 1 [20224/46250]	Loss: 1.8969	LR: 0.043094
Training Epoch: 1 [20480/46250]	Loss: 1.7687	LR: 0.043646
Training Epoch: 1 [20736/46250]	Loss: 1.6968	LR: 0.044199
Training Epoch: 1 [20992/46250]	Loss: 1.7318	LR: 0.044751
Training Epoch: 1 [21248/46250]	Loss: 1.8019	LR: 0.045304
Training Epoch: 1 [21504/46250]	Loss: 1.6565	LR: 0.045856
Training Epoch: 1 [21760/46250]	Loss: 1.6264	LR: 0.046409
Training Epoch: 1 [22016/46250]	Loss: 1.5784	LR: 0.046961
Training Epoch: 1 [22272/46250]	Loss: 1.6554	LR: 0.047514
Training Epoch: 1 [22528/46250]	Loss: 1.6586	LR: 0.048066
Training Epoch: 1 [22784/46250]	Loss: 1.6003	LR: 0.048619
Training Epoch: 1 [23040/46250]	Loss: 1.6862	LR: 0.049171
Training Epoch: 1 [23296/46250]	Loss: 1.8050	LR: 0.049724
Training Epoch: 1 [23552/46250]	Loss: 1.6674	LR: 0.050276
Training Epoch: 1 [23808/46250]	Loss: 1.6523	LR: 0.050829
Training Epoch: 1 [24064/46250]	Loss: 1.5905	LR: 0.051381
Training Epoch: 1 [24320/46250]	Loss: 1.6800	LR: 0.051934
Training Epoch: 1 [24576/46250]	Loss: 1.7169	LR: 0.052486
Training Epoch: 1 [24832/46250]	Loss: 1.7700	LR: 0.053039
Training Epoch: 1 [25088/46250]	Loss: 1.6799	LR: 0.053591
Training Epoch: 1 [25344/46250]	Loss: 1.8493	LR: 0.054144
Training Epoch: 1 [25600/46250]	Loss: 1.7753	LR: 0.054696
Training Epoch: 1 [25856/46250]	Loss: 1.7174	LR: 0.055249
Training Epoch: 1 [26112/46250]	Loss: 1.9153	LR: 0.055801
Training Epoch: 1 [26368/46250]	Loss: 1.5548	LR: 0.056354
Training Epoch: 1 [26624/46250]	Loss: 1.6421	LR: 0.056906
Training Epoch: 1 [26880/46250]	Loss: 1.7820	LR: 0.057459
Training Epoch: 1 [27136/46250]	Loss: 1.6034	LR: 0.058011
Training Epoch: 1 [27392/46250]	Loss: 1.8580	LR: 0.058564
Training Epoch: 1 [27648/46250]	Loss: 1.8950	LR: 0.059116
Training Epoch: 1 [27904/46250]	Loss: 1.8708	LR: 0.059669
Training Epoch: 1 [28160/46250]	Loss: 1.5758	LR: 0.060221
Training Epoch: 1 [28416/46250]	Loss: 1.7316	LR: 0.060773
Training Epoch: 1 [28672/46250]	Loss: 1.8515	LR: 0.061326
Training Epoch: 1 [28928/46250]	Loss: 1.6732	LR: 0.061878
Training Epoch: 1 [29184/46250]	Loss: 1.6314	LR: 0.062431
Training Epoch: 1 [29440/46250]	Loss: 1.7618	LR: 0.062983
Training Epoch: 1 [29696/46250]	Loss: 1.6252	LR: 0.063536
Training Epoch: 1 [29952/46250]	Loss: 1.6826	LR: 0.064088
Training Epoch: 1 [30208/46250]	Loss: 1.6086	LR: 0.064641
Training Epoch: 1 [30464/46250]	Loss: 1.7663	LR: 0.065193
Training Epoch: 1 [30720/46250]	Loss: 1.6826	LR: 0.065746
Training Epoch: 1 [30976/46250]	Loss: 1.6716	LR: 0.066298
Training Epoch: 1 [31232/46250]	Loss: 1.5982	LR: 0.066851
Training Epoch: 1 [31488/46250]	Loss: 1.6225	LR: 0.067403
Training Epoch: 1 [31744/46250]	Loss: 1.6738	LR: 0.067956
Training Epoch: 1 [32000/46250]	Loss: 1.6177	LR: 0.068508
Training Epoch: 1 [32256/46250]	Loss: 1.7033	LR: 0.069061
Training Epoch: 1 [32512/46250]	Loss: 1.6412	LR: 0.069613
Training Epoch: 1 [32768/46250]	Loss: 1.4762	LR: 0.070166
Training Epoch: 1 [33024/46250]	Loss: 1.6204	LR: 0.070718
Training Epoch: 1 [33280/46250]	Loss: 1.5318	LR: 0.071271
Training Epoch: 1 [33536/46250]	Loss: 1.5929	LR: 0.071823
Training Epoch: 1 [33792/46250]	Loss: 1.5538	LR: 0.072376
Training Epoch: 1 [34048/46250]	Loss: 1.4290	LR: 0.072928
Training Epoch: 1 [34304/46250]	Loss: 1.4870	LR: 0.073481
Training Epoch: 1 [34560/46250]	Loss: 1.3230	LR: 0.074033
Training Epoch: 1 [34816/46250]	Loss: 1.5687	LR: 0.074586
Training Epoch: 1 [35072/46250]	Loss: 1.5765	LR: 0.075138
Training Epoch: 1 [35328/46250]	Loss: 1.4678	LR: 0.075691
Training Epoch: 1 [35584/46250]	Loss: 1.7055	LR: 0.076243
Training Epoch: 1 [35840/46250]	Loss: 1.6236	LR: 0.076796
Training Epoch: 1 [36096/46250]	Loss: 1.6171	LR: 0.077348
Training Epoch: 1 [36352/46250]	Loss: 1.5136	LR: 0.077901
Training Epoch: 1 [36608/46250]	Loss: 1.4248	LR: 0.078453
Training Epoch: 1 [36864/46250]	Loss: 1.5904	LR: 0.079006
Training Epoch: 1 [37120/46250]	Loss: 1.4654	LR: 0.079558
Training Epoch: 1 [37376/46250]	Loss: 1.4827	LR: 0.080110
Training Epoch: 1 [37632/46250]	Loss: 1.4113	LR: 0.080663
Training Epoch: 1 [37888/46250]	Loss: 1.5460	LR: 0.081215
Training Epoch: 1 [38144/46250]	Loss: 1.4402	LR: 0.081768
Training Epoch: 1 [38400/46250]	Loss: 1.3996	LR: 0.082320
Training Epoch: 1 [38656/46250]	Loss: 1.4496	LR: 0.082873
Training Epoch: 1 [38912/46250]	Loss: 1.4989	LR: 0.083425
Training Epoch: 1 [39168/46250]	Loss: 1.3624	LR: 0.083978
Training Epoch: 1 [39424/46250]	Loss: 1.3856	LR: 0.084530
Training Epoch: 1 [39680/46250]	Loss: 1.5104	LR: 0.085083
Training Epoch: 1 [39936/46250]	Loss: 1.3828	LR: 0.085635
Training Epoch: 1 [40192/46250]	Loss: 1.5420	LR: 0.086188
Training Epoch: 1 [40448/46250]	Loss: 1.7135	LR: 0.086740
Training Epoch: 1 [40704/46250]	Loss: 1.4914	LR: 0.087293
Training Epoch: 1 [40960/46250]	Loss: 1.6179	LR: 0.087845
Training Epoch: 1 [41216/46250]	Loss: 1.5829	LR: 0.088398
Training Epoch: 1 [41472/46250]	Loss: 1.5516	LR: 0.088950
Training Epoch: 1 [41728/46250]	Loss: 1.5141	LR: 0.089503
Training Epoch: 1 [41984/46250]	Loss: 1.6924	LR: 0.090055
Training Epoch: 1 [42240/46250]	Loss: 1.5319	LR: 0.090608
Training Epoch: 1 [42496/46250]	Loss: 1.5125	LR: 0.091160
Training Epoch: 1 [42752/46250]	Loss: 1.6901	LR: 0.091713
Training Epoch: 1 [43008/46250]	Loss: 1.5355	LR: 0.092265
Training Epoch: 1 [43264/46250]	Loss: 1.6122	LR: 0.092818
Training Epoch: 1 [43520/46250]	Loss: 1.4748	LR: 0.093370
Training Epoch: 1 [43776/46250]	Loss: 1.4750	LR: 0.093923
Training Epoch: 1 [44032/46250]	Loss: 1.5128	LR: 0.094475
Training Epoch: 1 [44288/46250]	Loss: 1.5704	LR: 0.095028
Training Epoch: 1 [44544/46250]	Loss: 1.4049	LR: 0.095580
Training Epoch: 1 [44800/46250]	Loss: 1.5196	LR: 0.096133
Training Epoch: 1 [45056/46250]	Loss: 1.5584	LR: 0.096685
Training Epoch: 1 [45312/46250]	Loss: 1.4284	LR: 0.097238
Training Epoch: 1 [45568/46250]	Loss: 1.6067	LR: 0.097790
Training Epoch: 1 [45824/46250]	Loss: 1.4661	LR: 0.098343
Training Epoch: 1 [46080/46250]	Loss: 1.5595	LR: 0.098895
Training Epoch: 1 [46250/46250]	Loss: 1.2649	LR: 0.099448
Epoch 1 - Average Train Loss: 1.7275, Train Accuracy: 0.3658
Epoch 1 training time consumed: 28.73s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0068, Accuracy: 0.4198, Time consumed:0.98s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_09h_04m_17s/ResNet18-Cifar10-seed8-ret25-1-best.pth
Training Epoch: 2 [256/46250]	Loss: 1.5148	LR: 0.100000
Training Epoch: 2 [512/46250]	Loss: 1.3665	LR: 0.100000
Training Epoch: 2 [768/46250]	Loss: 1.4217	LR: 0.100000
Training Epoch: 2 [1024/46250]	Loss: 1.4830	LR: 0.100000
Training Epoch: 2 [1280/46250]	Loss: 1.3311	LR: 0.100000
Training Epoch: 2 [1536/46250]	Loss: 1.3529	LR: 0.100000
Training Epoch: 2 [1792/46250]	Loss: 1.4097	LR: 0.100000
Training Epoch: 2 [2048/46250]	Loss: 1.3473	LR: 0.100000
Training Epoch: 2 [2304/46250]	Loss: 1.3757	LR: 0.100000
Training Epoch: 2 [2560/46250]	Loss: 1.5262	LR: 0.100000
Training Epoch: 2 [2816/46250]	Loss: 1.6187	LR: 0.100000
Training Epoch: 2 [3072/46250]	Loss: 1.4570	LR: 0.100000
Training Epoch: 2 [3328/46250]	Loss: 1.4278	LR: 0.100000
Training Epoch: 2 [3584/46250]	Loss: 1.4853	LR: 0.100000
Training Epoch: 2 [3840/46250]	Loss: 1.5005	LR: 0.100000
Training Epoch: 2 [4096/46250]	Loss: 1.4534	LR: 0.100000
Training Epoch: 2 [4352/46250]	Loss: 1.5686	LR: 0.100000
Training Epoch: 2 [4608/46250]	Loss: 1.4709	LR: 0.100000
Training Epoch: 2 [4864/46250]	Loss: 1.4317	LR: 0.100000
Training Epoch: 2 [5120/46250]	Loss: 1.3821	LR: 0.100000
Training Epoch: 2 [5376/46250]	Loss: 1.4060	LR: 0.100000
Training Epoch: 2 [5632/46250]	Loss: 1.3965	LR: 0.100000
Training Epoch: 2 [5888/46250]	Loss: 1.3152	LR: 0.100000
Training Epoch: 2 [6144/46250]	Loss: 1.3793	LR: 0.100000
Training Epoch: 2 [6400/46250]	Loss: 1.2528	LR: 0.100000
Training Epoch: 2 [6656/46250]	Loss: 1.3270	LR: 0.100000
Training Epoch: 2 [6912/46250]	Loss: 1.3923	LR: 0.100000
Training Epoch: 2 [7168/46250]	Loss: 1.3649	LR: 0.100000
Training Epoch: 2 [7424/46250]	Loss: 1.2718	LR: 0.100000
Training Epoch: 2 [7680/46250]	Loss: 1.3478	LR: 0.100000
Training Epoch: 2 [7936/46250]	Loss: 1.4006	LR: 0.100000
Training Epoch: 2 [8192/46250]	Loss: 1.4357	LR: 0.100000
Training Epoch: 2 [8448/46250]	Loss: 1.2600	LR: 0.100000
Training Epoch: 2 [8704/46250]	Loss: 1.4427	LR: 0.100000
Training Epoch: 2 [8960/46250]	Loss: 1.2698	LR: 0.100000
Training Epoch: 2 [9216/46250]	Loss: 1.4360	LR: 0.100000
Training Epoch: 2 [9472/46250]	Loss: 1.2490	LR: 0.100000
Training Epoch: 2 [9728/46250]	Loss: 1.3743	LR: 0.100000
Training Epoch: 2 [9984/46250]	Loss: 1.3345	LR: 0.100000
Training Epoch: 2 [10240/46250]	Loss: 1.3285	LR: 0.100000
Training Epoch: 2 [10496/46250]	Loss: 1.3335	LR: 0.100000
Training Epoch: 2 [10752/46250]	Loss: 1.3129	LR: 0.100000
Training Epoch: 2 [11008/46250]	Loss: 1.1111	LR: 0.100000
Training Epoch: 2 [11264/46250]	Loss: 1.2788	LR: 0.100000
Training Epoch: 2 [11520/46250]	Loss: 1.3011	LR: 0.100000
Training Epoch: 2 [11776/46250]	Loss: 1.2543	LR: 0.100000
Training Epoch: 2 [12032/46250]	Loss: 1.1950	LR: 0.100000
Training Epoch: 2 [12288/46250]	Loss: 1.2577	LR: 0.100000
Training Epoch: 2 [12544/46250]	Loss: 1.2577	LR: 0.100000
Training Epoch: 2 [12800/46250]	Loss: 1.2416	LR: 0.100000
Training Epoch: 2 [13056/46250]	Loss: 1.2403	LR: 0.100000
Training Epoch: 2 [13312/46250]	Loss: 1.1437	LR: 0.100000
Training Epoch: 2 [13568/46250]	Loss: 1.3293	LR: 0.100000
Training Epoch: 2 [13824/46250]	Loss: 1.2471	LR: 0.100000
Training Epoch: 2 [14080/46250]	Loss: 1.3197	LR: 0.100000
Training Epoch: 2 [14336/46250]	Loss: 1.3023	LR: 0.100000
Training Epoch: 2 [14592/46250]	Loss: 1.3573	LR: 0.100000
Training Epoch: 2 [14848/46250]	Loss: 1.2384	LR: 0.100000
Training Epoch: 2 [15104/46250]	Loss: 1.2883	LR: 0.100000
Training Epoch: 2 [15360/46250]	Loss: 1.2673	LR: 0.100000
Training Epoch: 2 [15616/46250]	Loss: 1.0417	LR: 0.100000
Training Epoch: 2 [15872/46250]	Loss: 1.2961	LR: 0.100000
Training Epoch: 2 [16128/46250]	Loss: 1.2580	LR: 0.100000
Training Epoch: 2 [16384/46250]	Loss: 1.1871	LR: 0.100000
Training Epoch: 2 [16640/46250]	Loss: 1.1732	LR: 0.100000
Training Epoch: 2 [16896/46250]	Loss: 1.2025	LR: 0.100000
Training Epoch: 2 [17152/46250]	Loss: 1.2954	LR: 0.100000
Training Epoch: 2 [17408/46250]	Loss: 1.3035	LR: 0.100000
Training Epoch: 2 [17664/46250]	Loss: 1.2901	LR: 0.100000
Training Epoch: 2 [17920/46250]	Loss: 1.2227	LR: 0.100000
Training Epoch: 2 [18176/46250]	Loss: 1.2895	LR: 0.100000
Training Epoch: 2 [18432/46250]	Loss: 1.2273	LR: 0.100000
Training Epoch: 2 [18688/46250]	Loss: 1.2856	LR: 0.100000
Training Epoch: 2 [18944/46250]	Loss: 1.2347	LR: 0.100000
Training Epoch: 2 [19200/46250]	Loss: 1.1747	LR: 0.100000
Training Epoch: 2 [19456/46250]	Loss: 1.2765	LR: 0.100000
Training Epoch: 2 [19712/46250]	Loss: 1.2657	LR: 0.100000
Training Epoch: 2 [19968/46250]	Loss: 1.1694	LR: 0.100000
Training Epoch: 2 [20224/46250]	Loss: 1.1982	LR: 0.100000
Training Epoch: 2 [20480/46250]	Loss: 1.1704	LR: 0.100000
Training Epoch: 2 [20736/46250]	Loss: 1.1722	LR: 0.100000
Training Epoch: 2 [20992/46250]	Loss: 1.3209	LR: 0.100000
Training Epoch: 2 [21248/46250]	Loss: 1.2058	LR: 0.100000
Training Epoch: 2 [21504/46250]	Loss: 1.2522	LR: 0.100000
Training Epoch: 2 [21760/46250]	Loss: 1.1587	LR: 0.100000
Training Epoch: 2 [22016/46250]	Loss: 1.1813	LR: 0.100000
Training Epoch: 2 [22272/46250]	Loss: 1.2779	LR: 0.100000
Training Epoch: 2 [22528/46250]	Loss: 1.0701	LR: 0.100000
Training Epoch: 2 [22784/46250]	Loss: 1.2228	LR: 0.100000
Training Epoch: 2 [23040/46250]	Loss: 1.1403	LR: 0.100000
Training Epoch: 2 [23296/46250]	Loss: 1.1777	LR: 0.100000
Training Epoch: 2 [23552/46250]	Loss: 1.3511	LR: 0.100000
Training Epoch: 2 [23808/46250]	Loss: 1.2985	LR: 0.100000
Training Epoch: 2 [24064/46250]	Loss: 1.2001	LR: 0.100000
Training Epoch: 2 [24320/46250]	Loss: 1.1555	LR: 0.100000
Training Epoch: 2 [24576/46250]	Loss: 1.0821	LR: 0.100000
Training Epoch: 2 [24832/46250]	Loss: 1.2458	LR: 0.100000
Training Epoch: 2 [25088/46250]	Loss: 1.2425	LR: 0.100000
Training Epoch: 2 [25344/46250]	Loss: 1.1989	LR: 0.100000
Training Epoch: 2 [25600/46250]	Loss: 1.2186	LR: 0.100000
Training Epoch: 2 [25856/46250]	Loss: 1.1286	LR: 0.100000
Training Epoch: 2 [26112/46250]	Loss: 1.2730	LR: 0.100000
Training Epoch: 2 [26368/46250]	Loss: 1.2177	LR: 0.100000
Training Epoch: 2 [26624/46250]	Loss: 1.1701	LR: 0.100000
Training Epoch: 2 [26880/46250]	Loss: 1.1369	LR: 0.100000
Training Epoch: 2 [27136/46250]	Loss: 1.2831	LR: 0.100000
Training Epoch: 2 [27392/46250]	Loss: 1.3495	LR: 0.100000
Training Epoch: 2 [27648/46250]	Loss: 1.1721	LR: 0.100000
Training Epoch: 2 [27904/46250]	Loss: 1.1765	LR: 0.100000
Training Epoch: 2 [28160/46250]	Loss: 1.1576	LR: 0.100000
Training Epoch: 2 [28416/46250]	Loss: 1.0990	LR: 0.100000
Training Epoch: 2 [28672/46250]	Loss: 1.0579	LR: 0.100000
Training Epoch: 2 [28928/46250]	Loss: 1.1786	LR: 0.100000
Training Epoch: 2 [29184/46250]	Loss: 1.1074	LR: 0.100000
Training Epoch: 2 [29440/46250]	Loss: 1.1501	LR: 0.100000
Training Epoch: 2 [29696/46250]	Loss: 1.1882	LR: 0.100000
Training Epoch: 2 [29952/46250]	Loss: 1.1379	LR: 0.100000
Training Epoch: 2 [30208/46250]	Loss: 1.1877	LR: 0.100000
Training Epoch: 2 [30464/46250]	Loss: 1.1541	LR: 0.100000
Training Epoch: 2 [30720/46250]	Loss: 1.1176	LR: 0.100000
Training Epoch: 2 [30976/46250]	Loss: 1.1304	LR: 0.100000
Training Epoch: 2 [31232/46250]	Loss: 1.1113	LR: 0.100000
Training Epoch: 2 [31488/46250]	Loss: 1.2368	LR: 0.100000
Training Epoch: 2 [31744/46250]	Loss: 1.2334	LR: 0.100000
Training Epoch: 2 [32000/46250]	Loss: 1.1950	LR: 0.100000
Training Epoch: 2 [32256/46250]	Loss: 1.1509	LR: 0.100000
Training Epoch: 2 [32512/46250]	Loss: 1.1734	LR: 0.100000
Training Epoch: 2 [32768/46250]	Loss: 1.0906	LR: 0.100000
Training Epoch: 2 [33024/46250]	Loss: 1.2346	LR: 0.100000
Training Epoch: 2 [33280/46250]	Loss: 1.2829	LR: 0.100000
Training Epoch: 2 [33536/46250]	Loss: 1.1212	LR: 0.100000
Training Epoch: 2 [33792/46250]	Loss: 0.9934	LR: 0.100000
Training Epoch: 2 [34048/46250]	Loss: 1.1195	LR: 0.100000
Training Epoch: 2 [34304/46250]	Loss: 1.1251	LR: 0.100000
Training Epoch: 2 [34560/46250]	Loss: 1.0667	LR: 0.100000
Training Epoch: 2 [34816/46250]	Loss: 1.1534	LR: 0.100000
Training Epoch: 2 [35072/46250]	Loss: 1.1606	LR: 0.100000
Training Epoch: 2 [35328/46250]	Loss: 1.2112	LR: 0.100000
Training Epoch: 2 [35584/46250]	Loss: 1.0581	LR: 0.100000
Training Epoch: 2 [35840/46250]	Loss: 1.0862	LR: 0.100000
Training Epoch: 2 [36096/46250]	Loss: 1.0454	LR: 0.100000
Training Epoch: 2 [36352/46250]	Loss: 1.1594	LR: 0.100000
Training Epoch: 2 [36608/46250]	Loss: 1.2754	LR: 0.100000
Training Epoch: 2 [36864/46250]	Loss: 1.0034	LR: 0.100000
Training Epoch: 2 [37120/46250]	Loss: 1.2449	LR: 0.100000
Training Epoch: 2 [37376/46250]	Loss: 1.0521	LR: 0.100000
Training Epoch: 2 [37632/46250]	Loss: 1.2326	LR: 0.100000
Training Epoch: 2 [37888/46250]	Loss: 1.1198	LR: 0.100000
Training Epoch: 2 [38144/46250]	Loss: 1.0947	LR: 0.100000
Training Epoch: 2 [38400/46250]	Loss: 1.1123	LR: 0.100000
Training Epoch: 2 [38656/46250]	Loss: 1.1611	LR: 0.100000
Training Epoch: 2 [38912/46250]	Loss: 1.1059	LR: 0.100000
Training Epoch: 2 [39168/46250]	Loss: 1.1560	LR: 0.100000
Training Epoch: 2 [39424/46250]	Loss: 1.0674	LR: 0.100000
Training Epoch: 2 [39680/46250]	Loss: 1.1159	LR: 0.100000
Training Epoch: 2 [39936/46250]	Loss: 1.1402	LR: 0.100000
Training Epoch: 2 [40192/46250]	Loss: 1.1014	LR: 0.100000
Training Epoch: 2 [40448/46250]	Loss: 1.0940	LR: 0.100000
Training Epoch: 2 [40704/46250]	Loss: 1.0649	LR: 0.100000
Training Epoch: 2 [40960/46250]	Loss: 1.1325	LR: 0.100000
Training Epoch: 2 [41216/46250]	Loss: 1.1487	LR: 0.100000
Training Epoch: 2 [41472/46250]	Loss: 1.1202	LR: 0.100000
Training Epoch: 2 [41728/46250]	Loss: 1.0337	LR: 0.100000
Training Epoch: 2 [41984/46250]	Loss: 0.9603	LR: 0.100000
Training Epoch: 2 [42240/46250]	Loss: 1.2725	LR: 0.100000
Training Epoch: 2 [42496/46250]	Loss: 1.2888	LR: 0.100000
Training Epoch: 2 [42752/46250]	Loss: 0.9307	LR: 0.100000
Training Epoch: 2 [43008/46250]	Loss: 1.0131	LR: 0.100000
Training Epoch: 2 [43264/46250]	Loss: 1.0756	LR: 0.100000
Training Epoch: 2 [43520/46250]	Loss: 1.1627	LR: 0.100000
Training Epoch: 2 [43776/46250]	Loss: 1.1629	LR: 0.100000
Training Epoch: 2 [44032/46250]	Loss: 1.0742	LR: 0.100000
Training Epoch: 2 [44288/46250]	Loss: 1.0640	LR: 0.100000
Training Epoch: 2 [44544/46250]	Loss: 1.0946	LR: 0.100000
Training Epoch: 2 [44800/46250]	Loss: 1.1326	LR: 0.100000
Training Epoch: 2 [45056/46250]	Loss: 1.0938	LR: 0.100000
Training Epoch: 2 [45312/46250]	Loss: 1.0965	LR: 0.100000
Training Epoch: 2 [45568/46250]	Loss: 1.1063	LR: 0.100000
Training Epoch: 2 [45824/46250]	Loss: 1.2190	LR: 0.100000
Training Epoch: 2 [46080/46250]	Loss: 1.1153	LR: 0.100000
Training Epoch: 2 [46250/46250]	Loss: 0.8008	LR: 0.100000
Epoch 2 - Average Train Loss: 1.2259, Train Accuracy: 0.5608
Epoch 2 training time consumed: 27.97s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0048, Accuracy: 0.5963, Time consumed:1.04s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_09h_04m_17s/ResNet18-Cifar10-seed8-ret25-2-best.pth
Training Epoch: 3 [256/46250]	Loss: 1.0369	LR: 0.100000
Training Epoch: 3 [512/46250]	Loss: 1.0254	LR: 0.100000
Training Epoch: 3 [768/46250]	Loss: 1.1096	LR: 0.100000
Training Epoch: 3 [1024/46250]	Loss: 0.9451	LR: 0.100000
Training Epoch: 3 [1280/46250]	Loss: 1.1093	LR: 0.100000
Training Epoch: 3 [1536/46250]	Loss: 1.0674	LR: 0.100000
Training Epoch: 3 [1792/46250]	Loss: 1.1770	LR: 0.100000
Training Epoch: 3 [2048/46250]	Loss: 0.9670	LR: 0.100000
Training Epoch: 3 [2304/46250]	Loss: 0.9223	LR: 0.100000
Training Epoch: 3 [2560/46250]	Loss: 0.9216	LR: 0.100000
Training Epoch: 3 [2816/46250]	Loss: 1.0480	LR: 0.100000
Training Epoch: 3 [3072/46250]	Loss: 1.0032	LR: 0.100000
Training Epoch: 3 [3328/46250]	Loss: 0.9580	LR: 0.100000
Training Epoch: 3 [3584/46250]	Loss: 0.9540	LR: 0.100000
Training Epoch: 3 [3840/46250]	Loss: 1.1213	LR: 0.100000
Training Epoch: 3 [4096/46250]	Loss: 1.0262	LR: 0.100000
Training Epoch: 3 [4352/46250]	Loss: 1.0260	LR: 0.100000
Training Epoch: 3 [4608/46250]	Loss: 0.8665	LR: 0.100000
Training Epoch: 3 [4864/46250]	Loss: 0.9284	LR: 0.100000
Training Epoch: 3 [5120/46250]	Loss: 1.1932	LR: 0.100000
Training Epoch: 3 [5376/46250]	Loss: 0.9855	LR: 0.100000
Training Epoch: 3 [5632/46250]	Loss: 1.0079	LR: 0.100000
Training Epoch: 3 [5888/46250]	Loss: 1.1272	LR: 0.100000
Training Epoch: 3 [6144/46250]	Loss: 1.1794	LR: 0.100000
Training Epoch: 3 [6400/46250]	Loss: 1.0403	LR: 0.100000
Training Epoch: 3 [6656/46250]	Loss: 1.0622	LR: 0.100000
Training Epoch: 3 [6912/46250]	Loss: 1.0552	LR: 0.100000
Training Epoch: 3 [7168/46250]	Loss: 0.9915	LR: 0.100000
Training Epoch: 3 [7424/46250]	Loss: 1.0552	LR: 0.100000
Training Epoch: 3 [7680/46250]	Loss: 1.1192	LR: 0.100000
Training Epoch: 3 [7936/46250]	Loss: 1.0565	LR: 0.100000
Training Epoch: 3 [8192/46250]	Loss: 0.9554	LR: 0.100000
Training Epoch: 3 [8448/46250]	Loss: 1.0815	LR: 0.100000
Training Epoch: 3 [8704/46250]	Loss: 1.0234	LR: 0.100000
Training Epoch: 3 [8960/46250]	Loss: 1.0715	LR: 0.100000
Training Epoch: 3 [9216/46250]	Loss: 1.0633	LR: 0.100000
Training Epoch: 3 [9472/46250]	Loss: 1.0466	LR: 0.100000
Training Epoch: 3 [9728/46250]	Loss: 0.9718	LR: 0.100000
Training Epoch: 3 [9984/46250]	Loss: 1.1024	LR: 0.100000
Training Epoch: 3 [10240/46250]	Loss: 1.0495	LR: 0.100000
Training Epoch: 3 [10496/46250]	Loss: 1.0677	LR: 0.100000
Training Epoch: 3 [10752/46250]	Loss: 1.0135	LR: 0.100000
Training Epoch: 3 [11008/46250]	Loss: 1.1808	LR: 0.100000
Training Epoch: 3 [11264/46250]	Loss: 1.0552	LR: 0.100000
Training Epoch: 3 [11520/46250]	Loss: 1.0963	LR: 0.100000
Training Epoch: 3 [11776/46250]	Loss: 0.9857	LR: 0.100000
Training Epoch: 3 [12032/46250]	Loss: 1.0288	LR: 0.100000
Training Epoch: 3 [12288/46250]	Loss: 0.8634	LR: 0.100000
Training Epoch: 3 [12544/46250]	Loss: 0.9971	LR: 0.100000
Training Epoch: 3 [12800/46250]	Loss: 0.9976	LR: 0.100000
Training Epoch: 3 [13056/46250]	Loss: 1.0957	LR: 0.100000
Training Epoch: 3 [13312/46250]	Loss: 1.1211	LR: 0.100000
Training Epoch: 3 [13568/46250]	Loss: 1.0018	LR: 0.100000
Training Epoch: 3 [13824/46250]	Loss: 1.0012	LR: 0.100000
Training Epoch: 3 [14080/46250]	Loss: 1.0073	LR: 0.100000
Training Epoch: 3 [14336/46250]	Loss: 1.0250	LR: 0.100000
Training Epoch: 3 [14592/46250]	Loss: 1.0607	LR: 0.100000
Training Epoch: 3 [14848/46250]	Loss: 1.0126	LR: 0.100000
Training Epoch: 3 [15104/46250]	Loss: 0.9332	LR: 0.100000
Training Epoch: 3 [15360/46250]	Loss: 0.9533	LR: 0.100000
Training Epoch: 3 [15616/46250]	Loss: 0.8919	LR: 0.100000
Training Epoch: 3 [15872/46250]	Loss: 1.0713	LR: 0.100000
Training Epoch: 3 [16128/46250]	Loss: 0.9614	LR: 0.100000
Training Epoch: 3 [16384/46250]	Loss: 1.0435	LR: 0.100000
Training Epoch: 3 [16640/46250]	Loss: 0.9620	LR: 0.100000
Training Epoch: 3 [16896/46250]	Loss: 0.9095	LR: 0.100000
Training Epoch: 3 [17152/46250]	Loss: 0.8608	LR: 0.100000
Training Epoch: 3 [17408/46250]	Loss: 0.9748	LR: 0.100000
Training Epoch: 3 [17664/46250]	Loss: 1.0153	LR: 0.100000
Training Epoch: 3 [17920/46250]	Loss: 0.9834	LR: 0.100000
Training Epoch: 3 [18176/46250]	Loss: 0.9491	LR: 0.100000
Training Epoch: 3 [18432/46250]	Loss: 1.0705	LR: 0.100000
Training Epoch: 3 [18688/46250]	Loss: 0.9573	LR: 0.100000
Training Epoch: 3 [18944/46250]	Loss: 1.0119	LR: 0.100000
Training Epoch: 3 [19200/46250]	Loss: 1.0231	LR: 0.100000
Training Epoch: 3 [19456/46250]	Loss: 0.9728	LR: 0.100000
Training Epoch: 3 [19712/46250]	Loss: 0.9592	LR: 0.100000
Training Epoch: 3 [19968/46250]	Loss: 0.9243	LR: 0.100000
Training Epoch: 3 [20224/46250]	Loss: 1.0289	LR: 0.100000
Training Epoch: 3 [20480/46250]	Loss: 1.0148	LR: 0.100000
Training Epoch: 3 [20736/46250]	Loss: 0.8437	LR: 0.100000
Training Epoch: 3 [20992/46250]	Loss: 0.9015	LR: 0.100000
Training Epoch: 3 [21248/46250]	Loss: 1.0000	LR: 0.100000
Training Epoch: 3 [21504/46250]	Loss: 0.9010	LR: 0.100000
Training Epoch: 3 [21760/46250]	Loss: 0.8935	LR: 0.100000
Training Epoch: 3 [22016/46250]	Loss: 1.0266	LR: 0.100000
Training Epoch: 3 [22272/46250]	Loss: 0.8675	LR: 0.100000
Training Epoch: 3 [22528/46250]	Loss: 0.8858	LR: 0.100000
Training Epoch: 3 [22784/46250]	Loss: 0.8911	LR: 0.100000
Training Epoch: 3 [23040/46250]	Loss: 0.9648	LR: 0.100000
Training Epoch: 3 [23296/46250]	Loss: 1.0643	LR: 0.100000
Training Epoch: 3 [23552/46250]	Loss: 0.9458	LR: 0.100000
Training Epoch: 3 [23808/46250]	Loss: 0.8532	LR: 0.100000
Training Epoch: 3 [24064/46250]	Loss: 0.9352	LR: 0.100000
Training Epoch: 3 [24320/46250]	Loss: 1.0179	LR: 0.100000
Training Epoch: 3 [24576/46250]	Loss: 0.8708	LR: 0.100000
Training Epoch: 3 [24832/46250]	Loss: 1.0629	LR: 0.100000
Training Epoch: 3 [25088/46250]	Loss: 1.0854	LR: 0.100000
Training Epoch: 3 [25344/46250]	Loss: 0.9107	LR: 0.100000
Training Epoch: 3 [25600/46250]	Loss: 0.8729	LR: 0.100000
Training Epoch: 3 [25856/46250]	Loss: 0.9517	LR: 0.100000
Training Epoch: 3 [26112/46250]	Loss: 0.8709	LR: 0.100000
Training Epoch: 3 [26368/46250]	Loss: 0.9351	LR: 0.100000
Training Epoch: 3 [26624/46250]	Loss: 0.9519	LR: 0.100000
Training Epoch: 3 [26880/46250]	Loss: 0.9944	LR: 0.100000
Training Epoch: 3 [27136/46250]	Loss: 0.8730	LR: 0.100000
Training Epoch: 3 [27392/46250]	Loss: 0.8736	LR: 0.100000
Training Epoch: 3 [27648/46250]	Loss: 0.9544	LR: 0.100000
Training Epoch: 3 [27904/46250]	Loss: 0.8735	LR: 0.100000
Training Epoch: 3 [28160/46250]	Loss: 0.8019	LR: 0.100000
Training Epoch: 3 [28416/46250]	Loss: 1.0277	LR: 0.100000
Training Epoch: 3 [28672/46250]	Loss: 0.8145	LR: 0.100000
Training Epoch: 3 [28928/46250]	Loss: 0.9845	LR: 0.100000
Training Epoch: 3 [29184/46250]	Loss: 0.8686	LR: 0.100000
Training Epoch: 3 [29440/46250]	Loss: 0.9934	LR: 0.100000
Training Epoch: 3 [29696/46250]	Loss: 0.8053	LR: 0.100000
Training Epoch: 3 [29952/46250]	Loss: 0.9165	LR: 0.100000
Training Epoch: 3 [30208/46250]	Loss: 1.0647	LR: 0.100000
Training Epoch: 3 [30464/46250]	Loss: 0.7782	LR: 0.100000
Training Epoch: 3 [30720/46250]	Loss: 0.9922	LR: 0.100000
Training Epoch: 3 [30976/46250]	Loss: 0.8997	LR: 0.100000
Training Epoch: 3 [31232/46250]	Loss: 0.8901	LR: 0.100000
Training Epoch: 3 [31488/46250]	Loss: 0.9467	LR: 0.100000
Training Epoch: 3 [31744/46250]	Loss: 0.9380	LR: 0.100000
Training Epoch: 3 [32000/46250]	Loss: 0.9118	LR: 0.100000
Training Epoch: 3 [32256/46250]	Loss: 0.8954	LR: 0.100000
Training Epoch: 3 [32512/46250]	Loss: 0.9490	LR: 0.100000
Training Epoch: 3 [32768/46250]	Loss: 0.9089	LR: 0.100000
Training Epoch: 3 [33024/46250]	Loss: 0.8837	LR: 0.100000
Training Epoch: 3 [33280/46250]	Loss: 0.9745	LR: 0.100000
Training Epoch: 3 [33536/46250]	Loss: 0.9054	LR: 0.100000
Training Epoch: 3 [33792/46250]	Loss: 0.9729	LR: 0.100000
Training Epoch: 3 [34048/46250]	Loss: 1.0094	LR: 0.100000
Training Epoch: 3 [34304/46250]	Loss: 0.9943	LR: 0.100000
Training Epoch: 3 [34560/46250]	Loss: 0.9754	LR: 0.100000
Training Epoch: 3 [34816/46250]	Loss: 0.9522	LR: 0.100000
Training Epoch: 3 [35072/46250]	Loss: 0.9483	LR: 0.100000
Training Epoch: 3 [35328/46250]	Loss: 0.9098	LR: 0.100000
Training Epoch: 3 [35584/46250]	Loss: 0.9522	LR: 0.100000
Training Epoch: 3 [35840/46250]	Loss: 0.8149	LR: 0.100000
Training Epoch: 3 [36096/46250]	Loss: 0.9073	LR: 0.100000
Training Epoch: 3 [36352/46250]	Loss: 1.0642	LR: 0.100000
Training Epoch: 3 [36608/46250]	Loss: 0.8537	LR: 0.100000
Training Epoch: 3 [36864/46250]	Loss: 0.9386	LR: 0.100000
Training Epoch: 3 [37120/46250]	Loss: 0.8210	LR: 0.100000
Training Epoch: 3 [37376/46250]	Loss: 0.9702	LR: 0.100000
Training Epoch: 3 [37632/46250]	Loss: 0.9308	LR: 0.100000
Training Epoch: 3 [37888/46250]	Loss: 0.8888	LR: 0.100000
Training Epoch: 3 [38144/46250]	Loss: 0.8695	LR: 0.100000
Training Epoch: 3 [38400/46250]	Loss: 0.9309	LR: 0.100000
Training Epoch: 3 [38656/46250]	Loss: 0.9347	LR: 0.100000
Training Epoch: 3 [38912/46250]	Loss: 0.7947	LR: 0.100000
Training Epoch: 3 [39168/46250]	Loss: 0.8560	LR: 0.100000
Training Epoch: 3 [39424/46250]	Loss: 0.8531	LR: 0.100000
Training Epoch: 3 [39680/46250]	Loss: 0.9232	LR: 0.100000
Training Epoch: 3 [39936/46250]	Loss: 1.0038	LR: 0.100000
Training Epoch: 3 [40192/46250]	Loss: 0.9965	LR: 0.100000
Training Epoch: 3 [40448/46250]	Loss: 1.0022	LR: 0.100000
Training Epoch: 3 [40704/46250]	Loss: 0.9193	LR: 0.100000
Training Epoch: 3 [40960/46250]	Loss: 1.0155	LR: 0.100000
Training Epoch: 3 [41216/46250]	Loss: 0.9716	LR: 0.100000
Training Epoch: 3 [41472/46250]	Loss: 0.9181	LR: 0.100000
Training Epoch: 3 [41728/46250]	Loss: 0.8329	LR: 0.100000
Training Epoch: 3 [41984/46250]	Loss: 0.8440	LR: 0.100000
Training Epoch: 3 [42240/46250]	Loss: 0.8823	LR: 0.100000
Training Epoch: 3 [42496/46250]	Loss: 0.8941	LR: 0.100000
Training Epoch: 3 [42752/46250]	Loss: 0.9336	LR: 0.100000
Training Epoch: 3 [43008/46250]	Loss: 0.9429	LR: 0.100000
Training Epoch: 3 [43264/46250]	Loss: 0.8609	LR: 0.100000
Training Epoch: 3 [43520/46250]	Loss: 0.8295	LR: 0.100000
Training Epoch: 3 [43776/46250]	Loss: 0.9211	LR: 0.100000
Training Epoch: 3 [44032/46250]	Loss: 0.7983	LR: 0.100000
Training Epoch: 3 [44288/46250]	Loss: 0.8662	LR: 0.100000
Training Epoch: 3 [44544/46250]	Loss: 0.8793	LR: 0.100000
Training Epoch: 3 [44800/46250]	Loss: 0.9122	LR: 0.100000
Training Epoch: 3 [45056/46250]	Loss: 0.9632	LR: 0.100000
Training Epoch: 3 [45312/46250]	Loss: 0.9947	LR: 0.100000
Training Epoch: 3 [45568/46250]	Loss: 0.7042	LR: 0.100000
Training Epoch: 3 [45824/46250]	Loss: 0.9980	LR: 0.100000
Training Epoch: 3 [46080/46250]	Loss: 0.8523	LR: 0.100000
Training Epoch: 3 [46250/46250]	Loss: 0.9616	LR: 0.100000
Epoch 3 - Average Train Loss: 0.9642, Train Accuracy: 0.6569
Epoch 3 training time consumed: 27.89s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0037, Accuracy: 0.6773, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_09h_04m_17s/ResNet18-Cifar10-seed8-ret25-3-best.pth
Training Epoch: 4 [256/46250]	Loss: 0.8436	LR: 0.100000
Training Epoch: 4 [512/46250]	Loss: 0.8220	LR: 0.100000
Training Epoch: 4 [768/46250]	Loss: 0.8684	LR: 0.100000
Training Epoch: 4 [1024/46250]	Loss: 0.8515	LR: 0.100000
Training Epoch: 4 [1280/46250]	Loss: 0.8332	LR: 0.100000
Training Epoch: 4 [1536/46250]	Loss: 0.9659	LR: 0.100000
Training Epoch: 4 [1792/46250]	Loss: 0.8837	LR: 0.100000
Training Epoch: 4 [2048/46250]	Loss: 0.7913	LR: 0.100000
Training Epoch: 4 [2304/46250]	Loss: 0.8805	LR: 0.100000
Training Epoch: 4 [2560/46250]	Loss: 1.0011	LR: 0.100000
Training Epoch: 4 [2816/46250]	Loss: 0.8148	LR: 0.100000
Training Epoch: 4 [3072/46250]	Loss: 0.8797	LR: 0.100000
Training Epoch: 4 [3328/46250]	Loss: 0.8961	LR: 0.100000
Training Epoch: 4 [3584/46250]	Loss: 0.8870	LR: 0.100000
Training Epoch: 4 [3840/46250]	Loss: 0.7506	LR: 0.100000
Training Epoch: 4 [4096/46250]	Loss: 0.8030	LR: 0.100000
Training Epoch: 4 [4352/46250]	Loss: 0.8279	LR: 0.100000
Training Epoch: 4 [4608/46250]	Loss: 0.8721	LR: 0.100000
Training Epoch: 4 [4864/46250]	Loss: 0.7959	LR: 0.100000
Training Epoch: 4 [5120/46250]	Loss: 0.8155	LR: 0.100000
Training Epoch: 4 [5376/46250]	Loss: 0.7342	LR: 0.100000
Training Epoch: 4 [5632/46250]	Loss: 0.8292	LR: 0.100000
Training Epoch: 4 [5888/46250]	Loss: 0.8406	LR: 0.100000
Training Epoch: 4 [6144/46250]	Loss: 0.8902	LR: 0.100000
Training Epoch: 4 [6400/46250]	Loss: 0.9217	LR: 0.100000
Training Epoch: 4 [6656/46250]	Loss: 0.9114	LR: 0.100000
Training Epoch: 4 [6912/46250]	Loss: 0.8228	LR: 0.100000
Training Epoch: 4 [7168/46250]	Loss: 0.7612	LR: 0.100000
Training Epoch: 4 [7424/46250]	Loss: 0.8812	LR: 0.100000
Training Epoch: 4 [7680/46250]	Loss: 0.8823	LR: 0.100000
Training Epoch: 4 [7936/46250]	Loss: 0.7644	LR: 0.100000
Training Epoch: 4 [8192/46250]	Loss: 0.7983	LR: 0.100000
Training Epoch: 4 [8448/46250]	Loss: 0.7810	LR: 0.100000
Training Epoch: 4 [8704/46250]	Loss: 0.8433	LR: 0.100000
Training Epoch: 4 [8960/46250]	Loss: 0.8327	LR: 0.100000
Training Epoch: 4 [9216/46250]	Loss: 0.9178	LR: 0.100000
Training Epoch: 4 [9472/46250]	Loss: 0.8658	LR: 0.100000
Training Epoch: 4 [9728/46250]	Loss: 0.8633	LR: 0.100000
Training Epoch: 4 [9984/46250]	Loss: 0.8070	LR: 0.100000
Training Epoch: 4 [10240/46250]	Loss: 0.9156	LR: 0.100000
Training Epoch: 4 [10496/46250]	Loss: 0.7563	LR: 0.100000
Training Epoch: 4 [10752/46250]	Loss: 0.6434	LR: 0.100000
Training Epoch: 4 [11008/46250]	Loss: 0.8605	LR: 0.100000
Training Epoch: 4 [11264/46250]	Loss: 0.7913	LR: 0.100000
Training Epoch: 4 [11520/46250]	Loss: 0.7962	LR: 0.100000
Training Epoch: 4 [11776/46250]	Loss: 0.8606	LR: 0.100000
Training Epoch: 4 [12032/46250]	Loss: 0.9705	LR: 0.100000
Training Epoch: 4 [12288/46250]	Loss: 0.8125	LR: 0.100000
Training Epoch: 4 [12544/46250]	Loss: 0.7660	LR: 0.100000
Training Epoch: 4 [12800/46250]	Loss: 0.8084	LR: 0.100000
Training Epoch: 4 [13056/46250]	Loss: 0.8336	LR: 0.100000
Training Epoch: 4 [13312/46250]	Loss: 0.8779	LR: 0.100000
Training Epoch: 4 [13568/46250]	Loss: 0.9152	LR: 0.100000
Training Epoch: 4 [13824/46250]	Loss: 0.8869	LR: 0.100000
Training Epoch: 4 [14080/46250]	Loss: 0.8534	LR: 0.100000
Training Epoch: 4 [14336/46250]	Loss: 0.9615	LR: 0.100000
Training Epoch: 4 [14592/46250]	Loss: 0.8313	LR: 0.100000
Training Epoch: 4 [14848/46250]	Loss: 0.8211	LR: 0.100000
Training Epoch: 4 [15104/46250]	Loss: 0.7672	LR: 0.100000
Training Epoch: 4 [15360/46250]	Loss: 0.8908	LR: 0.100000
Training Epoch: 4 [15616/46250]	Loss: 0.7566	LR: 0.100000
Training Epoch: 4 [15872/46250]	Loss: 0.7700	LR: 0.100000
Training Epoch: 4 [16128/46250]	Loss: 0.9515	LR: 0.100000
Training Epoch: 4 [16384/46250]	Loss: 0.8206	LR: 0.100000
Training Epoch: 4 [16640/46250]	Loss: 0.9946	LR: 0.100000
Training Epoch: 4 [16896/46250]	Loss: 0.7174	LR: 0.100000
Training Epoch: 4 [17152/46250]	Loss: 0.7416	LR: 0.100000
Training Epoch: 4 [17408/46250]	Loss: 0.8564	LR: 0.100000
Training Epoch: 4 [17664/46250]	Loss: 0.8583	LR: 0.100000
Training Epoch: 4 [17920/46250]	Loss: 0.8636	LR: 0.100000
Training Epoch: 4 [18176/46250]	Loss: 0.9062	LR: 0.100000
Training Epoch: 4 [18432/46250]	Loss: 0.8923	LR: 0.100000
Training Epoch: 4 [18688/46250]	Loss: 0.8658	LR: 0.100000
Training Epoch: 4 [18944/46250]	Loss: 0.8196	LR: 0.100000
Training Epoch: 4 [19200/46250]	Loss: 0.7479	LR: 0.100000
Training Epoch: 4 [19456/46250]	Loss: 0.9035	LR: 0.100000
Training Epoch: 4 [19712/46250]	Loss: 0.7418	LR: 0.100000
Training Epoch: 4 [19968/46250]	Loss: 0.9081	LR: 0.100000
Training Epoch: 4 [20224/46250]	Loss: 0.8789	LR: 0.100000
Training Epoch: 4 [20480/46250]	Loss: 0.9288	LR: 0.100000
Training Epoch: 4 [20736/46250]	Loss: 0.8201	LR: 0.100000
Training Epoch: 4 [20992/46250]	Loss: 0.7877	LR: 0.100000
Training Epoch: 4 [21248/46250]	Loss: 0.9376	LR: 0.100000
Training Epoch: 4 [21504/46250]	Loss: 0.7428	LR: 0.100000
Training Epoch: 4 [21760/46250]	Loss: 0.8963	LR: 0.100000
Training Epoch: 4 [22016/46250]	Loss: 0.7915	LR: 0.100000
Training Epoch: 4 [22272/46250]	Loss: 0.7251	LR: 0.100000
Training Epoch: 4 [22528/46250]	Loss: 0.9823	LR: 0.100000
Training Epoch: 4 [22784/46250]	Loss: 0.8716	LR: 0.100000
Training Epoch: 4 [23040/46250]	Loss: 0.7575	LR: 0.100000
Training Epoch: 4 [23296/46250]	Loss: 0.8912	LR: 0.100000
Training Epoch: 4 [23552/46250]	Loss: 0.7753	LR: 0.100000
Training Epoch: 4 [23808/46250]	Loss: 0.7524	LR: 0.100000
Training Epoch: 4 [24064/46250]	Loss: 0.7972	LR: 0.100000
Training Epoch: 4 [24320/46250]	Loss: 0.8569	LR: 0.100000
Training Epoch: 4 [24576/46250]	Loss: 0.8228	LR: 0.100000
Training Epoch: 4 [24832/46250]	Loss: 0.9191	LR: 0.100000
Training Epoch: 4 [25088/46250]	Loss: 0.7316	LR: 0.100000
Training Epoch: 4 [25344/46250]	Loss: 0.8732	LR: 0.100000
Training Epoch: 4 [25600/46250]	Loss: 0.7017	LR: 0.100000
Training Epoch: 4 [25856/46250]	Loss: 0.7801	LR: 0.100000
Training Epoch: 4 [26112/46250]	Loss: 0.8105	LR: 0.100000
Training Epoch: 4 [26368/46250]	Loss: 0.7736	LR: 0.100000
Training Epoch: 4 [26624/46250]	Loss: 0.8413	LR: 0.100000
Training Epoch: 4 [26880/46250]	Loss: 0.8494	LR: 0.100000
Training Epoch: 4 [27136/46250]	Loss: 0.7317	LR: 0.100000
Training Epoch: 4 [27392/46250]	Loss: 0.8227	LR: 0.100000
Training Epoch: 4 [27648/46250]	Loss: 0.8603	LR: 0.100000
Training Epoch: 4 [27904/46250]	Loss: 0.9494	LR: 0.100000
Training Epoch: 4 [28160/46250]	Loss: 0.8129	LR: 0.100000
Training Epoch: 4 [28416/46250]	Loss: 0.8181	LR: 0.100000
Training Epoch: 4 [28672/46250]	Loss: 0.7287	LR: 0.100000
Training Epoch: 4 [28928/46250]	Loss: 0.8250	LR: 0.100000
Training Epoch: 4 [29184/46250]	Loss: 0.7738	LR: 0.100000
Training Epoch: 4 [29440/46250]	Loss: 0.8239	LR: 0.100000
Training Epoch: 4 [29696/46250]	Loss: 0.7238	LR: 0.100000
Training Epoch: 4 [29952/46250]	Loss: 0.7989	LR: 0.100000
Training Epoch: 4 [30208/46250]	Loss: 0.7417	LR: 0.100000
Training Epoch: 4 [30464/46250]	Loss: 0.8629	LR: 0.100000
Training Epoch: 4 [30720/46250]	Loss: 0.8136	LR: 0.100000
Training Epoch: 4 [30976/46250]	Loss: 0.8659	LR: 0.100000
Training Epoch: 4 [31232/46250]	Loss: 0.8371	LR: 0.100000
Training Epoch: 4 [31488/46250]	Loss: 0.8270	LR: 0.100000
Training Epoch: 4 [31744/46250]	Loss: 0.7857	LR: 0.100000
Training Epoch: 4 [32000/46250]	Loss: 0.6955	LR: 0.100000
Training Epoch: 4 [32256/46250]	Loss: 0.9343	LR: 0.100000
Training Epoch: 4 [32512/46250]	Loss: 0.7326	LR: 0.100000
Training Epoch: 4 [32768/46250]	Loss: 0.7845	LR: 0.100000
Training Epoch: 4 [33024/46250]	Loss: 0.6894	LR: 0.100000
Training Epoch: 4 [33280/46250]	Loss: 0.8754	LR: 0.100000
Training Epoch: 4 [33536/46250]	Loss: 0.7872	LR: 0.100000
Training Epoch: 4 [33792/46250]	Loss: 0.9534	LR: 0.100000
Training Epoch: 4 [34048/46250]	Loss: 0.7981	LR: 0.100000
Training Epoch: 4 [34304/46250]	Loss: 0.7595	LR: 0.100000
Training Epoch: 4 [34560/46250]	Loss: 0.8594	LR: 0.100000
Training Epoch: 4 [34816/46250]	Loss: 0.7518	LR: 0.100000
Training Epoch: 4 [35072/46250]	Loss: 0.7555	LR: 0.100000
Training Epoch: 4 [35328/46250]	Loss: 0.8629	LR: 0.100000
Training Epoch: 4 [35584/46250]	Loss: 0.8378	LR: 0.100000
Training Epoch: 4 [35840/46250]	Loss: 0.7708	LR: 0.100000
Training Epoch: 4 [36096/46250]	Loss: 0.8135	LR: 0.100000
Training Epoch: 4 [36352/46250]	Loss: 0.7076	LR: 0.100000
Training Epoch: 4 [36608/46250]	Loss: 0.8371	LR: 0.100000
Training Epoch: 4 [36864/46250]	Loss: 0.7562	LR: 0.100000
Training Epoch: 4 [37120/46250]	Loss: 0.6534	LR: 0.100000
Training Epoch: 4 [37376/46250]	Loss: 0.6249	LR: 0.100000
Training Epoch: 4 [37632/46250]	Loss: 0.7530	LR: 0.100000
Training Epoch: 4 [37888/46250]	Loss: 0.8244	LR: 0.100000
Training Epoch: 4 [38144/46250]	Loss: 0.7696	LR: 0.100000
Training Epoch: 4 [38400/46250]	Loss: 0.9495	LR: 0.100000
Training Epoch: 4 [38656/46250]	Loss: 0.7271	LR: 0.100000
Training Epoch: 4 [38912/46250]	Loss: 0.7813	LR: 0.100000
Training Epoch: 4 [39168/46250]	Loss: 0.7107	LR: 0.100000
Training Epoch: 4 [39424/46250]	Loss: 0.8749	LR: 0.100000
Training Epoch: 4 [39680/46250]	Loss: 0.6747	LR: 0.100000
Training Epoch: 4 [39936/46250]	Loss: 0.8170	LR: 0.100000
Training Epoch: 4 [40192/46250]	Loss: 0.7463	LR: 0.100000
Training Epoch: 4 [40448/46250]	Loss: 0.6972	LR: 0.100000
Training Epoch: 4 [40704/46250]	Loss: 0.8780	LR: 0.100000
Training Epoch: 4 [40960/46250]	Loss: 0.7997	LR: 0.100000
Training Epoch: 4 [41216/46250]	Loss: 0.7989	LR: 0.100000
Training Epoch: 4 [41472/46250]	Loss: 0.8571	LR: 0.100000
Training Epoch: 4 [41728/46250]	Loss: 0.7898	LR: 0.100000
Training Epoch: 4 [41984/46250]	Loss: 0.7624	LR: 0.100000
Training Epoch: 4 [42240/46250]	Loss: 0.8261	LR: 0.100000
Training Epoch: 4 [42496/46250]	Loss: 0.7807	LR: 0.100000
Training Epoch: 4 [42752/46250]	Loss: 0.7820	LR: 0.100000
Training Epoch: 4 [43008/46250]	Loss: 0.8492	LR: 0.100000
Training Epoch: 4 [43264/46250]	Loss: 0.8550	LR: 0.100000
Training Epoch: 4 [43520/46250]	Loss: 0.7548	LR: 0.100000
Training Epoch: 4 [43776/46250]	Loss: 0.8784	LR: 0.100000
Training Epoch: 4 [44032/46250]	Loss: 0.7443	LR: 0.100000
Training Epoch: 4 [44288/46250]	Loss: 0.6766	LR: 0.100000
Training Epoch: 4 [44544/46250]	Loss: 0.8002	LR: 0.100000
Training Epoch: 4 [44800/46250]	Loss: 0.8089	LR: 0.100000
Training Epoch: 4 [45056/46250]	Loss: 0.7786	LR: 0.100000
Training Epoch: 4 [45312/46250]	Loss: 0.8423	LR: 0.100000
Training Epoch: 4 [45568/46250]	Loss: 0.7769	LR: 0.100000
Training Epoch: 4 [45824/46250]	Loss: 0.6884	LR: 0.100000
Training Epoch: 4 [46080/46250]	Loss: 0.7820	LR: 0.100000
Training Epoch: 4 [46250/46250]	Loss: 0.6536	LR: 0.100000
Epoch 4 - Average Train Loss: 0.8191, Train Accuracy: 0.7117
Epoch 4 training time consumed: 27.92s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0037, Accuracy: 0.7017, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_09h_04m_17s/ResNet18-Cifar10-seed8-ret25-4-best.pth
Training Epoch: 5 [256/46250]	Loss: 0.6379	LR: 0.100000
Training Epoch: 5 [512/46250]	Loss: 0.8177	LR: 0.100000
Training Epoch: 5 [768/46250]	Loss: 0.7485	LR: 0.100000
Training Epoch: 5 [1024/46250]	Loss: 0.8338	LR: 0.100000
Training Epoch: 5 [1280/46250]	Loss: 0.8011	LR: 0.100000
Training Epoch: 5 [1536/46250]	Loss: 0.7427	LR: 0.100000
Training Epoch: 5 [1792/46250]	Loss: 0.7493	LR: 0.100000
Training Epoch: 5 [2048/46250]	Loss: 0.7156	LR: 0.100000
Training Epoch: 5 [2304/46250]	Loss: 0.7487	LR: 0.100000
Training Epoch: 5 [2560/46250]	Loss: 0.8540	LR: 0.100000
Training Epoch: 5 [2816/46250]	Loss: 0.6288	LR: 0.100000
Training Epoch: 5 [3072/46250]	Loss: 0.6912	LR: 0.100000
Training Epoch: 5 [3328/46250]	Loss: 0.7513	LR: 0.100000
Training Epoch: 5 [3584/46250]	Loss: 0.7965	LR: 0.100000
Training Epoch: 5 [3840/46250]	Loss: 0.8167	LR: 0.100000
Training Epoch: 5 [4096/46250]	Loss: 0.8015	LR: 0.100000
Training Epoch: 5 [4352/46250]	Loss: 0.5845	LR: 0.100000
Training Epoch: 5 [4608/46250]	Loss: 0.7966	LR: 0.100000
Training Epoch: 5 [4864/46250]	Loss: 0.7308	LR: 0.100000
Training Epoch: 5 [5120/46250]	Loss: 0.7535	LR: 0.100000
Training Epoch: 5 [5376/46250]	Loss: 0.6151	LR: 0.100000
Training Epoch: 5 [5632/46250]	Loss: 0.7384	LR: 0.100000
Training Epoch: 5 [5888/46250]	Loss: 0.7338	LR: 0.100000
Training Epoch: 5 [6144/46250]	Loss: 0.6877	LR: 0.100000
Training Epoch: 5 [6400/46250]	Loss: 0.7160	LR: 0.100000
Training Epoch: 5 [6656/46250]	Loss: 0.6809	LR: 0.100000
Training Epoch: 5 [6912/46250]	Loss: 0.6635	LR: 0.100000
Training Epoch: 5 [7168/46250]	Loss: 0.8047	LR: 0.100000
Training Epoch: 5 [7424/46250]	Loss: 0.9064	LR: 0.100000
Training Epoch: 5 [7680/46250]	Loss: 0.7684	LR: 0.100000
Training Epoch: 5 [7936/46250]	Loss: 0.8687	LR: 0.100000
Training Epoch: 5 [8192/46250]	Loss: 0.7731	LR: 0.100000
Training Epoch: 5 [8448/46250]	Loss: 0.8039	LR: 0.100000
Training Epoch: 5 [8704/46250]	Loss: 0.7532	LR: 0.100000
Training Epoch: 5 [8960/46250]	Loss: 0.7397	LR: 0.100000
Training Epoch: 5 [9216/46250]	Loss: 0.8417	LR: 0.100000
Training Epoch: 5 [9472/46250]	Loss: 0.7557	LR: 0.100000
Training Epoch: 5 [9728/46250]	Loss: 0.7871	LR: 0.100000
Training Epoch: 5 [9984/46250]	Loss: 0.7792	LR: 0.100000
Training Epoch: 5 [10240/46250]	Loss: 0.7939	LR: 0.100000
Training Epoch: 5 [10496/46250]	Loss: 0.8353	LR: 0.100000
Training Epoch: 5 [10752/46250]	Loss: 0.8095	LR: 0.100000
Training Epoch: 5 [11008/46250]	Loss: 0.6995	LR: 0.100000
Training Epoch: 5 [11264/46250]	Loss: 0.7332	LR: 0.100000
Training Epoch: 5 [11520/46250]	Loss: 0.7946	LR: 0.100000
Training Epoch: 5 [11776/46250]	Loss: 0.7127	LR: 0.100000
Training Epoch: 5 [12032/46250]	Loss: 0.7046	LR: 0.100000
Training Epoch: 5 [12288/46250]	Loss: 0.7158	LR: 0.100000
Training Epoch: 5 [12544/46250]	Loss: 0.6904	LR: 0.100000
Training Epoch: 5 [12800/46250]	Loss: 0.6218	LR: 0.100000
Training Epoch: 5 [13056/46250]	Loss: 0.7576	LR: 0.100000
Training Epoch: 5 [13312/46250]	Loss: 0.7401	LR: 0.100000
Training Epoch: 5 [13568/46250]	Loss: 0.8192	LR: 0.100000
Training Epoch: 5 [13824/46250]	Loss: 0.7535	LR: 0.100000
Training Epoch: 5 [14080/46250]	Loss: 0.7297	LR: 0.100000
Training Epoch: 5 [14336/46250]	Loss: 0.8036	LR: 0.100000
Training Epoch: 5 [14592/46250]	Loss: 0.6621	LR: 0.100000
Training Epoch: 5 [14848/46250]	Loss: 0.7322	LR: 0.100000
Training Epoch: 5 [15104/46250]	Loss: 0.7330	LR: 0.100000
Training Epoch: 5 [15360/46250]	Loss: 0.8506	LR: 0.100000
Training Epoch: 5 [15616/46250]	Loss: 0.6865	LR: 0.100000
Training Epoch: 5 [15872/46250]	Loss: 0.7818	LR: 0.100000
Training Epoch: 5 [16128/46250]	Loss: 0.6966	LR: 0.100000
Training Epoch: 5 [16384/46250]	Loss: 0.7791	LR: 0.100000
Training Epoch: 5 [16640/46250]	Loss: 0.6526	LR: 0.100000
Training Epoch: 5 [16896/46250]	Loss: 0.6519	LR: 0.100000
Training Epoch: 5 [17152/46250]	Loss: 0.7160	LR: 0.100000
Training Epoch: 5 [17408/46250]	Loss: 0.7185	LR: 0.100000
Training Epoch: 5 [17664/46250]	Loss: 0.6789	LR: 0.100000
Training Epoch: 5 [17920/46250]	Loss: 0.7515	LR: 0.100000
Training Epoch: 5 [18176/46250]	Loss: 0.7368	LR: 0.100000
Training Epoch: 5 [18432/46250]	Loss: 0.6553	LR: 0.100000
Training Epoch: 5 [18688/46250]	Loss: 0.7411	LR: 0.100000
Training Epoch: 5 [18944/46250]	Loss: 0.6022	LR: 0.100000
Training Epoch: 5 [19200/46250]	Loss: 0.6565	LR: 0.100000
Training Epoch: 5 [19456/46250]	Loss: 0.6949	LR: 0.100000
Training Epoch: 5 [19712/46250]	Loss: 0.7112	LR: 0.100000
Training Epoch: 5 [19968/46250]	Loss: 0.6925	LR: 0.100000
Training Epoch: 5 [20224/46250]	Loss: 0.8926	LR: 0.100000
Training Epoch: 5 [20480/46250]	Loss: 0.6235	LR: 0.100000
Training Epoch: 5 [20736/46250]	Loss: 0.6283	LR: 0.100000
Training Epoch: 5 [20992/46250]	Loss: 0.6069	LR: 0.100000
Training Epoch: 5 [21248/46250]	Loss: 0.7560	LR: 0.100000
Training Epoch: 5 [21504/46250]	Loss: 0.8337	LR: 0.100000
Training Epoch: 5 [21760/46250]	Loss: 0.7976	LR: 0.100000
Training Epoch: 5 [22016/46250]	Loss: 0.7000	LR: 0.100000
Training Epoch: 5 [22272/46250]	Loss: 0.7296	LR: 0.100000
Training Epoch: 5 [22528/46250]	Loss: 0.7530	LR: 0.100000
Training Epoch: 5 [22784/46250]	Loss: 0.7013	LR: 0.100000
Training Epoch: 5 [23040/46250]	Loss: 0.7397	LR: 0.100000
Training Epoch: 5 [23296/46250]	Loss: 0.7797	LR: 0.100000
Training Epoch: 5 [23552/46250]	Loss: 0.7504	LR: 0.100000
Training Epoch: 5 [23808/46250]	Loss: 0.7931	LR: 0.100000
Training Epoch: 5 [24064/46250]	Loss: 0.7199	LR: 0.100000
Training Epoch: 5 [24320/46250]	Loss: 0.6626	LR: 0.100000
Training Epoch: 5 [24576/46250]	Loss: 0.7684	LR: 0.100000
Training Epoch: 5 [24832/46250]	Loss: 0.6583	LR: 0.100000
Training Epoch: 5 [25088/46250]	Loss: 0.6778	LR: 0.100000
Training Epoch: 5 [25344/46250]	Loss: 0.6298	LR: 0.100000
Training Epoch: 5 [25600/46250]	Loss: 0.6432	LR: 0.100000
Training Epoch: 5 [25856/46250]	Loss: 0.6988	LR: 0.100000
Training Epoch: 5 [26112/46250]	Loss: 0.6359	LR: 0.100000
Training Epoch: 5 [26368/46250]	Loss: 0.6249	LR: 0.100000
Training Epoch: 5 [26624/46250]	Loss: 0.7100	LR: 0.100000
Training Epoch: 5 [26880/46250]	Loss: 0.6936	LR: 0.100000
Training Epoch: 5 [27136/46250]	Loss: 0.7095	LR: 0.100000
Training Epoch: 5 [27392/46250]	Loss: 0.6495	LR: 0.100000
Training Epoch: 5 [27648/46250]	Loss: 0.5975	LR: 0.100000
Training Epoch: 5 [27904/46250]	Loss: 0.6948	LR: 0.100000
Training Epoch: 5 [28160/46250]	Loss: 0.5877	LR: 0.100000
Training Epoch: 5 [28416/46250]	Loss: 0.8827	LR: 0.100000
Training Epoch: 5 [28672/46250]	Loss: 0.6541	LR: 0.100000
Training Epoch: 5 [28928/46250]	Loss: 0.7098	LR: 0.100000
Training Epoch: 5 [29184/46250]	Loss: 0.6944	LR: 0.100000
Training Epoch: 5 [29440/46250]	Loss: 0.8013	LR: 0.100000
Training Epoch: 5 [29696/46250]	Loss: 0.7075	LR: 0.100000
Training Epoch: 5 [29952/46250]	Loss: 0.7053	LR: 0.100000
Training Epoch: 5 [30208/46250]	Loss: 0.7301	LR: 0.100000
Training Epoch: 5 [30464/46250]	Loss: 0.6890	LR: 0.100000
Training Epoch: 5 [30720/46250]	Loss: 0.7345	LR: 0.100000
Training Epoch: 5 [30976/46250]	Loss: 0.9523	LR: 0.100000
Training Epoch: 5 [31232/46250]	Loss: 0.6810	LR: 0.100000
Training Epoch: 5 [31488/46250]	Loss: 0.6835	LR: 0.100000
Training Epoch: 5 [31744/46250]	Loss: 0.8023	LR: 0.100000
Training Epoch: 5 [32000/46250]	Loss: 0.7684	LR: 0.100000
Training Epoch: 5 [32256/46250]	Loss: 0.5582	LR: 0.100000
Training Epoch: 5 [32512/46250]	Loss: 0.6873	LR: 0.100000
Training Epoch: 5 [32768/46250]	Loss: 0.7598	LR: 0.100000
Training Epoch: 5 [33024/46250]	Loss: 0.7963	LR: 0.100000
Training Epoch: 5 [33280/46250]	Loss: 0.8128	LR: 0.100000
Training Epoch: 5 [33536/46250]	Loss: 0.6527	LR: 0.100000
Training Epoch: 5 [33792/46250]	Loss: 0.7743	LR: 0.100000
Training Epoch: 5 [34048/46250]	Loss: 0.7254	LR: 0.100000
Training Epoch: 5 [34304/46250]	Loss: 0.6715	LR: 0.100000
Training Epoch: 5 [34560/46250]	Loss: 0.7415	LR: 0.100000
Training Epoch: 5 [34816/46250]	Loss: 0.7636	LR: 0.100000
Training Epoch: 5 [35072/46250]	Loss: 0.7936	LR: 0.100000
Training Epoch: 5 [35328/46250]	Loss: 0.7416	LR: 0.100000
Training Epoch: 5 [35584/46250]	Loss: 0.7207	LR: 0.100000
Training Epoch: 5 [35840/46250]	Loss: 0.7335	LR: 0.100000
Training Epoch: 5 [36096/46250]	Loss: 0.7014	LR: 0.100000
Training Epoch: 5 [36352/46250]	Loss: 0.6761	LR: 0.100000
Training Epoch: 5 [36608/46250]	Loss: 0.7065	LR: 0.100000
Training Epoch: 5 [36864/46250]	Loss: 0.6669	LR: 0.100000
Training Epoch: 5 [37120/46250]	Loss: 0.6415	LR: 0.100000
Training Epoch: 5 [37376/46250]	Loss: 0.7627	LR: 0.100000
Training Epoch: 5 [37632/46250]	Loss: 0.6745	LR: 0.100000
Training Epoch: 5 [37888/46250]	Loss: 0.6165	LR: 0.100000
Training Epoch: 5 [38144/46250]	Loss: 0.6955	LR: 0.100000
Training Epoch: 5 [38400/46250]	Loss: 0.7516	LR: 0.100000
Training Epoch: 5 [38656/46250]	Loss: 0.6583	LR: 0.100000
Training Epoch: 5 [38912/46250]	Loss: 0.6781	LR: 0.100000
Training Epoch: 5 [39168/46250]	Loss: 0.5952	LR: 0.100000
Training Epoch: 5 [39424/46250]	Loss: 0.6387	LR: 0.100000
Training Epoch: 5 [39680/46250]	Loss: 0.7617	LR: 0.100000
Training Epoch: 5 [39936/46250]	Loss: 0.6255	LR: 0.100000
Training Epoch: 5 [40192/46250]	Loss: 0.7319	LR: 0.100000
Training Epoch: 5 [40448/46250]	Loss: 0.7174	LR: 0.100000
Training Epoch: 5 [40704/46250]	Loss: 0.6884	LR: 0.100000
Training Epoch: 5 [40960/46250]	Loss: 0.7772	LR: 0.100000
Training Epoch: 5 [41216/46250]	Loss: 0.5593	LR: 0.100000
Training Epoch: 5 [41472/46250]	Loss: 0.7461	LR: 0.100000
Training Epoch: 5 [41728/46250]	Loss: 0.6882	LR: 0.100000
Training Epoch: 5 [41984/46250]	Loss: 0.7023	LR: 0.100000
Training Epoch: 5 [42240/46250]	Loss: 0.7050	LR: 0.100000
Training Epoch: 5 [42496/46250]	Loss: 0.6931	LR: 0.100000
Training Epoch: 5 [42752/46250]	Loss: 0.6141	LR: 0.100000
Training Epoch: 5 [43008/46250]	Loss: 0.6360	LR: 0.100000
Training Epoch: 5 [43264/46250]	Loss: 0.7145	LR: 0.100000
Training Epoch: 5 [43520/46250]	Loss: 0.7657	LR: 0.100000
Training Epoch: 5 [43776/46250]	Loss: 0.6937	LR: 0.100000
Training Epoch: 5 [44032/46250]	Loss: 0.7353	LR: 0.100000
Training Epoch: 5 [44288/46250]	Loss: 0.7081	LR: 0.100000
Training Epoch: 5 [44544/46250]	Loss: 0.7811	LR: 0.100000
Training Epoch: 5 [44800/46250]	Loss: 0.6058	LR: 0.100000
Training Epoch: 5 [45056/46250]	Loss: 0.6112	LR: 0.100000
Training Epoch: 5 [45312/46250]	Loss: 0.8084	LR: 0.100000
Training Epoch: 5 [45568/46250]	Loss: 0.7198	LR: 0.100000
Training Epoch: 5 [45824/46250]	Loss: 0.6300	LR: 0.100000
Training Epoch: 5 [46080/46250]	Loss: 0.7108	LR: 0.100000
Training Epoch: 5 [46250/46250]	Loss: 0.6754	LR: 0.100000
Epoch 5 - Average Train Loss: 0.7214, Train Accuracy: 0.7466
Epoch 5 training time consumed: 28.63s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0029, Accuracy: 0.7517, Time consumed:0.99s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_09h_04m_17s/ResNet18-Cifar10-seed8-ret25-5-best.pth
Training Epoch: 6 [256/46250]	Loss: 0.6845	LR: 0.100000
Training Epoch: 6 [512/46250]	Loss: 0.6374	LR: 0.100000
Training Epoch: 6 [768/46250]	Loss: 0.5743	LR: 0.100000
Training Epoch: 6 [1024/46250]	Loss: 0.7418	LR: 0.100000
Training Epoch: 6 [1280/46250]	Loss: 0.6482	LR: 0.100000
Training Epoch: 6 [1536/46250]	Loss: 0.6395	LR: 0.100000
Training Epoch: 6 [1792/46250]	Loss: 0.7019	LR: 0.100000
Training Epoch: 6 [2048/46250]	Loss: 0.7508	LR: 0.100000
Training Epoch: 6 [2304/46250]	Loss: 0.6148	LR: 0.100000
Training Epoch: 6 [2560/46250]	Loss: 0.6831	LR: 0.100000
Training Epoch: 6 [2816/46250]	Loss: 0.7088	LR: 0.100000
Training Epoch: 6 [3072/46250]	Loss: 0.7892	LR: 0.100000
Training Epoch: 6 [3328/46250]	Loss: 0.6741	LR: 0.100000
Training Epoch: 6 [3584/46250]	Loss: 0.6948	LR: 0.100000
Training Epoch: 6 [3840/46250]	Loss: 0.6185	LR: 0.100000
Training Epoch: 6 [4096/46250]	Loss: 0.6408	LR: 0.100000
Training Epoch: 6 [4352/46250]	Loss: 0.6871	LR: 0.100000
Training Epoch: 6 [4608/46250]	Loss: 0.6379	LR: 0.100000
Training Epoch: 6 [4864/46250]	Loss: 0.7242	LR: 0.100000
Training Epoch: 6 [5120/46250]	Loss: 0.7181	LR: 0.100000
Training Epoch: 6 [5376/46250]	Loss: 0.5719	LR: 0.100000
Training Epoch: 6 [5632/46250]	Loss: 0.7040	LR: 0.100000
Training Epoch: 6 [5888/46250]	Loss: 0.6730	LR: 0.100000
Training Epoch: 6 [6144/46250]	Loss: 0.6720	LR: 0.100000
Training Epoch: 6 [6400/46250]	Loss: 0.7661	LR: 0.100000
Training Epoch: 6 [6656/46250]	Loss: 0.6827	LR: 0.100000
Training Epoch: 6 [6912/46250]	Loss: 0.7515	LR: 0.100000
Training Epoch: 6 [7168/46250]	Loss: 0.7891	LR: 0.100000
Training Epoch: 6 [7424/46250]	Loss: 0.5992	LR: 0.100000
Training Epoch: 6 [7680/46250]	Loss: 0.5515	LR: 0.100000
Training Epoch: 6 [7936/46250]	Loss: 0.6427	LR: 0.100000
Training Epoch: 6 [8192/46250]	Loss: 0.6658	LR: 0.100000
Training Epoch: 6 [8448/46250]	Loss: 0.6175	LR: 0.100000
Training Epoch: 6 [8704/46250]	Loss: 0.6966	LR: 0.100000
Training Epoch: 6 [8960/46250]	Loss: 0.6523	LR: 0.100000
Training Epoch: 6 [9216/46250]	Loss: 0.6665	LR: 0.100000
Training Epoch: 6 [9472/46250]	Loss: 0.6946	LR: 0.100000
Training Epoch: 6 [9728/46250]	Loss: 0.6690	LR: 0.100000
Training Epoch: 6 [9984/46250]	Loss: 0.6543	LR: 0.100000
Training Epoch: 6 [10240/46250]	Loss: 0.6592	LR: 0.100000
Training Epoch: 6 [10496/46250]	Loss: 0.6603	LR: 0.100000
Training Epoch: 6 [10752/46250]	Loss: 0.7515	LR: 0.100000
Training Epoch: 6 [11008/46250]	Loss: 0.6034	LR: 0.100000
Training Epoch: 6 [11264/46250]	Loss: 0.6841	LR: 0.100000
Training Epoch: 6 [11520/46250]	Loss: 0.7355	LR: 0.100000
Training Epoch: 6 [11776/46250]	Loss: 0.6328	LR: 0.100000
Training Epoch: 6 [12032/46250]	Loss: 0.6579	LR: 0.100000
Training Epoch: 6 [12288/46250]	Loss: 0.5579	LR: 0.100000
Training Epoch: 6 [12544/46250]	Loss: 0.5872	LR: 0.100000
Training Epoch: 6 [12800/46250]	Loss: 0.6188	LR: 0.100000
Training Epoch: 6 [13056/46250]	Loss: 0.6322	LR: 0.100000
Training Epoch: 6 [13312/46250]	Loss: 0.6704	LR: 0.100000
Training Epoch: 6 [13568/46250]	Loss: 0.5698	LR: 0.100000
Training Epoch: 6 [13824/46250]	Loss: 0.6311	LR: 0.100000
Training Epoch: 6 [14080/46250]	Loss: 0.6311	LR: 0.100000
Training Epoch: 6 [14336/46250]	Loss: 0.6862	LR: 0.100000
Training Epoch: 6 [14592/46250]	Loss: 0.5900	LR: 0.100000
Training Epoch: 6 [14848/46250]	Loss: 0.5870	LR: 0.100000
Training Epoch: 6 [15104/46250]	Loss: 0.5264	LR: 0.100000
Training Epoch: 6 [15360/46250]	Loss: 0.7041	LR: 0.100000
Training Epoch: 6 [15616/46250]	Loss: 0.6866	LR: 0.100000
Training Epoch: 6 [15872/46250]	Loss: 0.7102	LR: 0.100000
Training Epoch: 6 [16128/46250]	Loss: 0.6214	LR: 0.100000
Training Epoch: 6 [16384/46250]	Loss: 0.6386	LR: 0.100000
Training Epoch: 6 [16640/46250]	Loss: 0.6348	LR: 0.100000
Training Epoch: 6 [16896/46250]	Loss: 0.5924	LR: 0.100000
Training Epoch: 6 [17152/46250]	Loss: 0.6495	LR: 0.100000
Training Epoch: 6 [17408/46250]	Loss: 0.7905	LR: 0.100000
Training Epoch: 6 [17664/46250]	Loss: 0.7635	LR: 0.100000
Training Epoch: 6 [17920/46250]	Loss: 0.6971	LR: 0.100000
Training Epoch: 6 [18176/46250]	Loss: 0.6418	LR: 0.100000
Training Epoch: 6 [18432/46250]	Loss: 0.6309	LR: 0.100000
Training Epoch: 6 [18688/46250]	Loss: 0.6519	LR: 0.100000
Training Epoch: 6 [18944/46250]	Loss: 0.6492	LR: 0.100000
Training Epoch: 6 [19200/46250]	Loss: 0.7354	LR: 0.100000
Training Epoch: 6 [19456/46250]	Loss: 0.5348	LR: 0.100000
Training Epoch: 6 [19712/46250]	Loss: 0.5769	LR: 0.100000
Training Epoch: 6 [19968/46250]	Loss: 0.6864	LR: 0.100000
Training Epoch: 6 [20224/46250]	Loss: 0.6350	LR: 0.100000
Training Epoch: 6 [20480/46250]	Loss: 0.6353	LR: 0.100000
Training Epoch: 6 [20736/46250]	Loss: 0.7071	LR: 0.100000
Training Epoch: 6 [20992/46250]	Loss: 0.7132	LR: 0.100000
Training Epoch: 6 [21248/46250]	Loss: 0.7352	LR: 0.100000
Training Epoch: 6 [21504/46250]	Loss: 0.6401	LR: 0.100000
Training Epoch: 6 [21760/46250]	Loss: 0.6672	LR: 0.100000
Training Epoch: 6 [22016/46250]	Loss: 0.6328	LR: 0.100000
Training Epoch: 6 [22272/46250]	Loss: 0.7250	LR: 0.100000
Training Epoch: 6 [22528/46250]	Loss: 0.7513	LR: 0.100000
Training Epoch: 6 [22784/46250]	Loss: 0.7493	LR: 0.100000
Training Epoch: 6 [23040/46250]	Loss: 0.7237	LR: 0.100000
Training Epoch: 6 [23296/46250]	Loss: 0.7000	LR: 0.100000
Training Epoch: 6 [23552/46250]	Loss: 0.6658	LR: 0.100000
Training Epoch: 6 [23808/46250]	Loss: 0.6995	LR: 0.100000
Training Epoch: 6 [24064/46250]	Loss: 0.6556	LR: 0.100000
Training Epoch: 6 [24320/46250]	Loss: 0.6364	LR: 0.100000
Training Epoch: 6 [24576/46250]	Loss: 0.6830	LR: 0.100000
Training Epoch: 6 [24832/46250]	Loss: 0.7269	LR: 0.100000
Training Epoch: 6 [25088/46250]	Loss: 0.6983	LR: 0.100000
Training Epoch: 6 [25344/46250]	Loss: 0.5931	LR: 0.100000
Training Epoch: 6 [25600/46250]	Loss: 0.6411	LR: 0.100000
Training Epoch: 6 [25856/46250]	Loss: 0.6032	LR: 0.100000
Training Epoch: 6 [26112/46250]	Loss: 0.6560	LR: 0.100000
Training Epoch: 6 [26368/46250]	Loss: 0.5741	LR: 0.100000
Training Epoch: 6 [26624/46250]	Loss: 0.7130	LR: 0.100000
Training Epoch: 6 [26880/46250]	Loss: 0.6774	LR: 0.100000
Training Epoch: 6 [27136/46250]	Loss: 0.6877	LR: 0.100000
Training Epoch: 6 [27392/46250]	Loss: 0.5973	LR: 0.100000
Training Epoch: 6 [27648/46250]	Loss: 0.6120	LR: 0.100000
Training Epoch: 6 [27904/46250]	Loss: 0.6170	LR: 0.100000
Training Epoch: 6 [28160/46250]	Loss: 0.8194	LR: 0.100000
Training Epoch: 6 [28416/46250]	Loss: 0.6382	LR: 0.100000
Training Epoch: 6 [28672/46250]	Loss: 0.6684	LR: 0.100000
Training Epoch: 6 [28928/46250]	Loss: 0.7350	LR: 0.100000
Training Epoch: 6 [29184/46250]	Loss: 0.6026	LR: 0.100000
Training Epoch: 6 [29440/46250]	Loss: 0.5878	LR: 0.100000
Training Epoch: 6 [29696/46250]	Loss: 0.7065	LR: 0.100000
Training Epoch: 6 [29952/46250]	Loss: 0.6715	LR: 0.100000
Training Epoch: 6 [30208/46250]	Loss: 0.7291	LR: 0.100000
Training Epoch: 6 [30464/46250]	Loss: 0.6520	LR: 0.100000
Training Epoch: 6 [30720/46250]	Loss: 0.6409	LR: 0.100000
Training Epoch: 6 [30976/46250]	Loss: 0.6914	LR: 0.100000
Training Epoch: 6 [31232/46250]	Loss: 0.6982	LR: 0.100000
Training Epoch: 6 [31488/46250]	Loss: 0.5762	LR: 0.100000
Training Epoch: 6 [31744/46250]	Loss: 0.6312	LR: 0.100000
Training Epoch: 6 [32000/46250]	Loss: 0.6378	LR: 0.100000
Training Epoch: 6 [32256/46250]	Loss: 0.6236	LR: 0.100000
Training Epoch: 6 [32512/46250]	Loss: 0.6506	LR: 0.100000
Training Epoch: 6 [32768/46250]	Loss: 0.6818	LR: 0.100000
Training Epoch: 6 [33024/46250]	Loss: 0.6355	LR: 0.100000
Training Epoch: 6 [33280/46250]	Loss: 0.6378	LR: 0.100000
Training Epoch: 6 [33536/46250]	Loss: 0.6933	LR: 0.100000
Training Epoch: 6 [33792/46250]	Loss: 0.5946	LR: 0.100000
Training Epoch: 6 [34048/46250]	Loss: 0.6728	LR: 0.100000
Training Epoch: 6 [34304/46250]	Loss: 0.7005	LR: 0.100000
Training Epoch: 6 [34560/46250]	Loss: 0.6608	LR: 0.100000
Training Epoch: 6 [34816/46250]	Loss: 0.6484	LR: 0.100000
Training Epoch: 6 [35072/46250]	Loss: 0.6211	LR: 0.100000
Training Epoch: 6 [35328/46250]	Loss: 0.6503	LR: 0.100000
Training Epoch: 6 [35584/46250]	Loss: 0.6313	LR: 0.100000
Training Epoch: 6 [35840/46250]	Loss: 0.6268	LR: 0.100000
Training Epoch: 6 [36096/46250]	Loss: 0.6062	LR: 0.100000
Training Epoch: 6 [36352/46250]	Loss: 0.6513	LR: 0.100000
Training Epoch: 6 [36608/46250]	Loss: 0.6252	LR: 0.100000
Training Epoch: 6 [36864/46250]	Loss: 0.7494	LR: 0.100000
Training Epoch: 6 [37120/46250]	Loss: 0.7311	LR: 0.100000
Training Epoch: 6 [37376/46250]	Loss: 0.5904	LR: 0.100000
Training Epoch: 6 [37632/46250]	Loss: 0.5558	LR: 0.100000
Training Epoch: 6 [37888/46250]	Loss: 0.5983	LR: 0.100000
Training Epoch: 6 [38144/46250]	Loss: 0.7723	LR: 0.100000
Training Epoch: 6 [38400/46250]	Loss: 0.5991	LR: 0.100000
Training Epoch: 6 [38656/46250]	Loss: 0.5744	LR: 0.100000
Training Epoch: 6 [38912/46250]	Loss: 0.6877	LR: 0.100000
Training Epoch: 6 [39168/46250]	Loss: 0.6983	LR: 0.100000
Training Epoch: 6 [39424/46250]	Loss: 0.6513	LR: 0.100000
Training Epoch: 6 [39680/46250]	Loss: 0.6110	LR: 0.100000
Training Epoch: 6 [39936/46250]	Loss: 0.6347	LR: 0.100000
Training Epoch: 6 [40192/46250]	Loss: 0.5966	LR: 0.100000
Training Epoch: 6 [40448/46250]	Loss: 0.6091	LR: 0.100000
Training Epoch: 6 [40704/46250]	Loss: 0.6307	LR: 0.100000
Training Epoch: 6 [40960/46250]	Loss: 0.6134	LR: 0.100000
Training Epoch: 6 [41216/46250]	Loss: 0.5283	LR: 0.100000
Training Epoch: 6 [41472/46250]	Loss: 0.6581	LR: 0.100000
Training Epoch: 6 [41728/46250]	Loss: 0.6322	LR: 0.100000
Training Epoch: 6 [41984/46250]	Loss: 0.8528	LR: 0.100000
Training Epoch: 6 [42240/46250]	Loss: 0.5821	LR: 0.100000
Training Epoch: 6 [42496/46250]	Loss: 0.5418	LR: 0.100000
Training Epoch: 6 [42752/46250]	Loss: 0.6089	LR: 0.100000
Training Epoch: 6 [43008/46250]	Loss: 0.6282	LR: 0.100000
Training Epoch: 6 [43264/46250]	Loss: 0.5973	LR: 0.100000
Training Epoch: 6 [43520/46250]	Loss: 0.6078	LR: 0.100000
Training Epoch: 6 [43776/46250]	Loss: 0.6912	LR: 0.100000
Training Epoch: 6 [44032/46250]	Loss: 0.5123	LR: 0.100000
Training Epoch: 6 [44288/46250]	Loss: 0.7171	LR: 0.100000
Training Epoch: 6 [44544/46250]	Loss: 0.6169	LR: 0.100000
Training Epoch: 6 [44800/46250]	Loss: 0.6373	LR: 0.100000
Training Epoch: 6 [45056/46250]	Loss: 0.6431	LR: 0.100000
Training Epoch: 6 [45312/46250]	Loss: 0.5855	LR: 0.100000
Training Epoch: 6 [45568/46250]	Loss: 0.6070	LR: 0.100000
Training Epoch: 6 [45824/46250]	Loss: 0.6559	LR: 0.100000
Training Epoch: 6 [46080/46250]	Loss: 0.6451	LR: 0.100000
Training Epoch: 6 [46250/46250]	Loss: 0.5119	LR: 0.100000
Epoch 6 - Average Train Loss: 0.6554, Train Accuracy: 0.7702
Epoch 6 training time consumed: 28.12s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0029, Accuracy: 0.7544, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_09h_04m_17s/ResNet18-Cifar10-seed8-ret25-6-best.pth
Training Epoch: 7 [256/46250]	Loss: 0.7441	LR: 0.100000
Training Epoch: 7 [512/46250]	Loss: 0.6565	LR: 0.100000
Training Epoch: 7 [768/46250]	Loss: 0.6303	LR: 0.100000
Training Epoch: 7 [1024/46250]	Loss: 0.5699	LR: 0.100000
Training Epoch: 7 [1280/46250]	Loss: 0.6423	LR: 0.100000
Training Epoch: 7 [1536/46250]	Loss: 0.5090	LR: 0.100000
Training Epoch: 7 [1792/46250]	Loss: 0.6520	LR: 0.100000
Training Epoch: 7 [2048/46250]	Loss: 0.6743	LR: 0.100000
Training Epoch: 7 [2304/46250]	Loss: 0.5488	LR: 0.100000
Training Epoch: 7 [2560/46250]	Loss: 0.5914	LR: 0.100000
Training Epoch: 7 [2816/46250]	Loss: 0.6388	LR: 0.100000
Training Epoch: 7 [3072/46250]	Loss: 0.6650	LR: 0.100000
Training Epoch: 7 [3328/46250]	Loss: 0.6051	LR: 0.100000
Training Epoch: 7 [3584/46250]	Loss: 0.6045	LR: 0.100000
Training Epoch: 7 [3840/46250]	Loss: 0.6187	LR: 0.100000
Training Epoch: 7 [4096/46250]	Loss: 0.6665	LR: 0.100000
Training Epoch: 7 [4352/46250]	Loss: 0.5214	LR: 0.100000
Training Epoch: 7 [4608/46250]	Loss: 0.5400	LR: 0.100000
Training Epoch: 7 [4864/46250]	Loss: 0.6204	LR: 0.100000
Training Epoch: 7 [5120/46250]	Loss: 0.6176	LR: 0.100000
Training Epoch: 7 [5376/46250]	Loss: 0.7168	LR: 0.100000
Training Epoch: 7 [5632/46250]	Loss: 0.5603	LR: 0.100000
Training Epoch: 7 [5888/46250]	Loss: 0.6123	LR: 0.100000
Training Epoch: 7 [6144/46250]	Loss: 0.6985	LR: 0.100000
Training Epoch: 7 [6400/46250]	Loss: 0.6168	LR: 0.100000
Training Epoch: 7 [6656/46250]	Loss: 0.6321	LR: 0.100000
Training Epoch: 7 [6912/46250]	Loss: 0.5960	LR: 0.100000
Training Epoch: 7 [7168/46250]	Loss: 0.5278	LR: 0.100000
Training Epoch: 7 [7424/46250]	Loss: 0.5896	LR: 0.100000
Training Epoch: 7 [7680/46250]	Loss: 0.5255	LR: 0.100000
Training Epoch: 7 [7936/46250]	Loss: 0.6663	LR: 0.100000
Training Epoch: 7 [8192/46250]	Loss: 0.4999	LR: 0.100000
Training Epoch: 7 [8448/46250]	Loss: 0.5530	LR: 0.100000
Training Epoch: 7 [8704/46250]	Loss: 0.5854	LR: 0.100000
Training Epoch: 7 [8960/46250]	Loss: 0.5663	LR: 0.100000
Training Epoch: 7 [9216/46250]	Loss: 0.6609	LR: 0.100000
Training Epoch: 7 [9472/46250]	Loss: 0.5331	LR: 0.100000
Training Epoch: 7 [9728/46250]	Loss: 0.6055	LR: 0.100000
Training Epoch: 7 [9984/46250]	Loss: 0.6355	LR: 0.100000
Training Epoch: 7 [10240/46250]	Loss: 0.7449	LR: 0.100000
Training Epoch: 7 [10496/46250]	Loss: 0.5642	LR: 0.100000
Training Epoch: 7 [10752/46250]	Loss: 0.6855	LR: 0.100000
Training Epoch: 7 [11008/46250]	Loss: 0.5727	LR: 0.100000
Training Epoch: 7 [11264/46250]	Loss: 0.7126	LR: 0.100000
Training Epoch: 7 [11520/46250]	Loss: 0.6034	LR: 0.100000
Training Epoch: 7 [11776/46250]	Loss: 0.5410	LR: 0.100000
Training Epoch: 7 [12032/46250]	Loss: 0.6442	LR: 0.100000
Training Epoch: 7 [12288/46250]	Loss: 0.5722	LR: 0.100000
Training Epoch: 7 [12544/46250]	Loss: 0.5487	LR: 0.100000
Training Epoch: 7 [12800/46250]	Loss: 0.5709	LR: 0.100000
Training Epoch: 7 [13056/46250]	Loss: 0.5439	LR: 0.100000
Training Epoch: 7 [13312/46250]	Loss: 0.4953	LR: 0.100000
Training Epoch: 7 [13568/46250]	Loss: 0.6201	LR: 0.100000
Training Epoch: 7 [13824/46250]	Loss: 0.6845	LR: 0.100000
Training Epoch: 7 [14080/46250]	Loss: 0.7246	LR: 0.100000
Training Epoch: 7 [14336/46250]	Loss: 0.7161	LR: 0.100000
Training Epoch: 7 [14592/46250]	Loss: 0.5504	LR: 0.100000
Training Epoch: 7 [14848/46250]	Loss: 0.5986	LR: 0.100000
Training Epoch: 7 [15104/46250]	Loss: 0.6421	LR: 0.100000
Training Epoch: 7 [15360/46250]	Loss: 0.4867	LR: 0.100000
Training Epoch: 7 [15616/46250]	Loss: 0.6526	LR: 0.100000
Training Epoch: 7 [15872/46250]	Loss: 0.8273	LR: 0.100000
Training Epoch: 7 [16128/46250]	Loss: 0.7383	LR: 0.100000
Training Epoch: 7 [16384/46250]	Loss: 0.6562	LR: 0.100000
Training Epoch: 7 [16640/46250]	Loss: 0.6356	LR: 0.100000
Training Epoch: 7 [16896/46250]	Loss: 0.5927	LR: 0.100000
Training Epoch: 7 [17152/46250]	Loss: 0.5850	LR: 0.100000
Training Epoch: 7 [17408/46250]	Loss: 0.5572	LR: 0.100000
Training Epoch: 7 [17664/46250]	Loss: 0.6327	LR: 0.100000
Training Epoch: 7 [17920/46250]	Loss: 0.6814	LR: 0.100000
Training Epoch: 7 [18176/46250]	Loss: 0.6457	LR: 0.100000
Training Epoch: 7 [18432/46250]	Loss: 0.5546	LR: 0.100000
Training Epoch: 7 [18688/46250]	Loss: 0.5721	LR: 0.100000
Training Epoch: 7 [18944/46250]	Loss: 0.5339	LR: 0.100000
Training Epoch: 7 [19200/46250]	Loss: 0.6974	LR: 0.100000
Training Epoch: 7 [19456/46250]	Loss: 0.5425	LR: 0.100000
Training Epoch: 7 [19712/46250]	Loss: 0.6759	LR: 0.100000
Training Epoch: 7 [19968/46250]	Loss: 0.6695	LR: 0.100000
Training Epoch: 7 [20224/46250]	Loss: 0.6323	LR: 0.100000
Training Epoch: 7 [20480/46250]	Loss: 0.4895	LR: 0.100000
Training Epoch: 7 [20736/46250]	Loss: 0.6297	LR: 0.100000
Training Epoch: 7 [20992/46250]	Loss: 0.5717	LR: 0.100000
Training Epoch: 7 [21248/46250]	Loss: 0.6451	LR: 0.100000
Training Epoch: 7 [21504/46250]	Loss: 0.5385	LR: 0.100000
Training Epoch: 7 [21760/46250]	Loss: 0.6358	LR: 0.100000
Training Epoch: 7 [22016/46250]	Loss: 0.6480	LR: 0.100000
Training Epoch: 7 [22272/46250]	Loss: 0.5874	LR: 0.100000
Training Epoch: 7 [22528/46250]	Loss: 0.4888	LR: 0.100000
Training Epoch: 7 [22784/46250]	Loss: 0.6596	LR: 0.100000
Training Epoch: 7 [23040/46250]	Loss: 0.5820	LR: 0.100000
Training Epoch: 7 [23296/46250]	Loss: 0.6791	LR: 0.100000
Training Epoch: 7 [23552/46250]	Loss: 0.6416	LR: 0.100000
Training Epoch: 7 [23808/46250]	Loss: 0.5761	LR: 0.100000
Training Epoch: 7 [24064/46250]	Loss: 0.6304	LR: 0.100000
Training Epoch: 7 [24320/46250]	Loss: 0.6198	LR: 0.100000
Training Epoch: 7 [24576/46250]	Loss: 0.5859	LR: 0.100000
Training Epoch: 7 [24832/46250]	Loss: 0.5145	LR: 0.100000
Training Epoch: 7 [25088/46250]	Loss: 0.6517	LR: 0.100000
Training Epoch: 7 [25344/46250]	Loss: 0.5826	LR: 0.100000
Training Epoch: 7 [25600/46250]	Loss: 0.6238	LR: 0.100000
Training Epoch: 7 [25856/46250]	Loss: 0.6315	LR: 0.100000
Training Epoch: 7 [26112/46250]	Loss: 0.6277	LR: 0.100000
Training Epoch: 7 [26368/46250]	Loss: 0.5861	LR: 0.100000
Training Epoch: 7 [26624/46250]	Loss: 0.6046	LR: 0.100000
Training Epoch: 7 [26880/46250]	Loss: 0.6020	LR: 0.100000
Training Epoch: 7 [27136/46250]	Loss: 0.5940	LR: 0.100000
Training Epoch: 7 [27392/46250]	Loss: 0.6855	LR: 0.100000
Training Epoch: 7 [27648/46250]	Loss: 0.6245	LR: 0.100000
Training Epoch: 7 [27904/46250]	Loss: 0.4930	LR: 0.100000
Training Epoch: 7 [28160/46250]	Loss: 0.5588	LR: 0.100000
Training Epoch: 7 [28416/46250]	Loss: 0.6204	LR: 0.100000
Training Epoch: 7 [28672/46250]	Loss: 0.6224	LR: 0.100000
Training Epoch: 7 [28928/46250]	Loss: 0.5632	LR: 0.100000
Training Epoch: 7 [29184/46250]	Loss: 0.6585	LR: 0.100000
Training Epoch: 7 [29440/46250]	Loss: 0.5663	LR: 0.100000
Training Epoch: 7 [29696/46250]	Loss: 0.5816	LR: 0.100000
Training Epoch: 7 [29952/46250]	Loss: 0.7041	LR: 0.100000
Training Epoch: 7 [30208/46250]	Loss: 0.6495	LR: 0.100000
Training Epoch: 7 [30464/46250]	Loss: 0.6315	LR: 0.100000
Training Epoch: 7 [30720/46250]	Loss: 0.6191	LR: 0.100000
Training Epoch: 7 [30976/46250]	Loss: 0.5651	LR: 0.100000
Training Epoch: 7 [31232/46250]	Loss: 0.6094	LR: 0.100000
Training Epoch: 7 [31488/46250]	Loss: 0.5470	LR: 0.100000
Training Epoch: 7 [31744/46250]	Loss: 0.6405	LR: 0.100000
Training Epoch: 7 [32000/46250]	Loss: 0.5890	LR: 0.100000
Training Epoch: 7 [32256/46250]	Loss: 0.5722	LR: 0.100000
Training Epoch: 7 [32512/46250]	Loss: 0.6091	LR: 0.100000
Training Epoch: 7 [32768/46250]	Loss: 0.5220	LR: 0.100000
Training Epoch: 7 [33024/46250]	Loss: 0.5561	LR: 0.100000
Training Epoch: 7 [33280/46250]	Loss: 0.5442	LR: 0.100000
Training Epoch: 7 [33536/46250]	Loss: 0.5867	LR: 0.100000
Training Epoch: 7 [33792/46250]	Loss: 0.6291	LR: 0.100000
Training Epoch: 7 [34048/46250]	Loss: 0.5320	LR: 0.100000
Training Epoch: 7 [34304/46250]	Loss: 0.6197	LR: 0.100000
Training Epoch: 7 [34560/46250]	Loss: 0.6112	LR: 0.100000
Training Epoch: 7 [34816/46250]	Loss: 0.6723	LR: 0.100000
Training Epoch: 7 [35072/46250]	Loss: 0.5890	LR: 0.100000
Training Epoch: 7 [35328/46250]	Loss: 0.5891	LR: 0.100000
Training Epoch: 7 [35584/46250]	Loss: 0.6546	LR: 0.100000
Training Epoch: 7 [35840/46250]	Loss: 0.5665	LR: 0.100000
Training Epoch: 7 [36096/46250]	Loss: 0.7020	LR: 0.100000
Training Epoch: 7 [36352/46250]	Loss: 0.5065	LR: 0.100000
Training Epoch: 7 [36608/46250]	Loss: 0.6153	LR: 0.100000
Training Epoch: 7 [36864/46250]	Loss: 0.5761	LR: 0.100000
Training Epoch: 7 [37120/46250]	Loss: 0.6088	LR: 0.100000
Training Epoch: 7 [37376/46250]	Loss: 0.6477	LR: 0.100000
Training Epoch: 7 [37632/46250]	Loss: 0.5260	LR: 0.100000
Training Epoch: 7 [37888/46250]	Loss: 0.5623	LR: 0.100000
Training Epoch: 7 [38144/46250]	Loss: 0.6306	LR: 0.100000
Training Epoch: 7 [38400/46250]	Loss: 0.5708	LR: 0.100000
Training Epoch: 7 [38656/46250]	Loss: 0.5671	LR: 0.100000
Training Epoch: 7 [38912/46250]	Loss: 0.5293	LR: 0.100000
Training Epoch: 7 [39168/46250]	Loss: 0.6208	LR: 0.100000
Training Epoch: 7 [39424/46250]	Loss: 0.4931	LR: 0.100000
Training Epoch: 7 [39680/46250]	Loss: 0.5208	LR: 0.100000
Training Epoch: 7 [39936/46250]	Loss: 0.5215	LR: 0.100000
Training Epoch: 7 [40192/46250]	Loss: 0.6890	LR: 0.100000
Training Epoch: 7 [40448/46250]	Loss: 0.4440	LR: 0.100000
Training Epoch: 7 [40704/46250]	Loss: 0.5030	LR: 0.100000
Training Epoch: 7 [40960/46250]	Loss: 0.6091	LR: 0.100000
Training Epoch: 7 [41216/46250]	Loss: 0.7731	LR: 0.100000
Training Epoch: 7 [41472/46250]	Loss: 0.6426	LR: 0.100000
Training Epoch: 7 [41728/46250]	Loss: 0.6792	LR: 0.100000
Training Epoch: 7 [41984/46250]	Loss: 0.6075	LR: 0.100000
Training Epoch: 7 [42240/46250]	Loss: 0.6008	LR: 0.100000
Training Epoch: 7 [42496/46250]	Loss: 0.7996	LR: 0.100000
Training Epoch: 7 [42752/46250]	Loss: 0.5708	LR: 0.100000
Training Epoch: 7 [43008/46250]	Loss: 0.6559	LR: 0.100000
Training Epoch: 7 [43264/46250]	Loss: 0.5747	LR: 0.100000
Training Epoch: 7 [43520/46250]	Loss: 0.5757	LR: 0.100000
Training Epoch: 7 [43776/46250]	Loss: 0.6301	LR: 0.100000
Training Epoch: 7 [44032/46250]	Loss: 0.6443	LR: 0.100000
Training Epoch: 7 [44288/46250]	Loss: 0.6391	LR: 0.100000
Training Epoch: 7 [44544/46250]	Loss: 0.7440	LR: 0.100000
Training Epoch: 7 [44800/46250]	Loss: 0.6525	LR: 0.100000
Training Epoch: 7 [45056/46250]	Loss: 0.5703	LR: 0.100000
Training Epoch: 7 [45312/46250]	Loss: 0.6892	LR: 0.100000
Training Epoch: 7 [45568/46250]	Loss: 0.6054	LR: 0.100000
Training Epoch: 7 [45824/46250]	Loss: 0.4714	LR: 0.100000
Training Epoch: 7 [46080/46250]	Loss: 0.7098	LR: 0.100000
Training Epoch: 7 [46250/46250]	Loss: 0.7211	LR: 0.100000
Epoch 7 - Average Train Loss: 0.6087, Train Accuracy: 0.7883
Epoch 7 training time consumed: 28.22s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0027, Accuracy: 0.7723, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_09h_04m_17s/ResNet18-Cifar10-seed8-ret25-7-best.pth
Training Epoch: 8 [256/46250]	Loss: 0.5444	LR: 0.020000
Training Epoch: 8 [512/46250]	Loss: 0.5679	LR: 0.020000
Training Epoch: 8 [768/46250]	Loss: 0.5205	LR: 0.020000
Training Epoch: 8 [1024/46250]	Loss: 0.5577	LR: 0.020000
Training Epoch: 8 [1280/46250]	Loss: 0.5095	LR: 0.020000
Training Epoch: 8 [1536/46250]	Loss: 0.5656	LR: 0.020000
Training Epoch: 8 [1792/46250]	Loss: 0.6722	LR: 0.020000
Training Epoch: 8 [2048/46250]	Loss: 0.5467	LR: 0.020000
Training Epoch: 8 [2304/46250]	Loss: 0.5351	LR: 0.020000
Training Epoch: 8 [2560/46250]	Loss: 0.4565	LR: 0.020000
Training Epoch: 8 [2816/46250]	Loss: 0.4904	LR: 0.020000
Training Epoch: 8 [3072/46250]	Loss: 0.5573	LR: 0.020000
Training Epoch: 8 [3328/46250]	Loss: 0.4880	LR: 0.020000
Training Epoch: 8 [3584/46250]	Loss: 0.4679	LR: 0.020000
Training Epoch: 8 [3840/46250]	Loss: 0.5704	LR: 0.020000
Training Epoch: 8 [4096/46250]	Loss: 0.4830	LR: 0.020000
Training Epoch: 8 [4352/46250]	Loss: 0.5030	LR: 0.020000
Training Epoch: 8 [4608/46250]	Loss: 0.4744	LR: 0.020000
Training Epoch: 8 [4864/46250]	Loss: 0.4337	LR: 0.020000
Training Epoch: 8 [5120/46250]	Loss: 0.5173	LR: 0.020000
Training Epoch: 8 [5376/46250]	Loss: 0.4718	LR: 0.020000
Training Epoch: 8 [5632/46250]	Loss: 0.4777	LR: 0.020000
Training Epoch: 8 [5888/46250]	Loss: 0.4262	LR: 0.020000
Training Epoch: 8 [6144/46250]	Loss: 0.5157	LR: 0.020000
Training Epoch: 8 [6400/46250]	Loss: 0.5002	LR: 0.020000
Training Epoch: 8 [6656/46250]	Loss: 0.5297	LR: 0.020000
Training Epoch: 8 [6912/46250]	Loss: 0.4884	LR: 0.020000
Training Epoch: 8 [7168/46250]	Loss: 0.5415	LR: 0.020000
Training Epoch: 8 [7424/46250]	Loss: 0.4753	LR: 0.020000
Training Epoch: 8 [7680/46250]	Loss: 0.3843	LR: 0.020000
Training Epoch: 8 [7936/46250]	Loss: 0.4840	LR: 0.020000
Training Epoch: 8 [8192/46250]	Loss: 0.4718	LR: 0.020000
Training Epoch: 8 [8448/46250]	Loss: 0.4245	LR: 0.020000
Training Epoch: 8 [8704/46250]	Loss: 0.4868	LR: 0.020000
Training Epoch: 8 [8960/46250]	Loss: 0.5081	LR: 0.020000
Training Epoch: 8 [9216/46250]	Loss: 0.5421	LR: 0.020000
Training Epoch: 8 [9472/46250]	Loss: 0.5126	LR: 0.020000
Training Epoch: 8 [9728/46250]	Loss: 0.4668	LR: 0.020000
Training Epoch: 8 [9984/46250]	Loss: 0.6129	LR: 0.020000
Training Epoch: 8 [10240/46250]	Loss: 0.3951	LR: 0.020000
Training Epoch: 8 [10496/46250]	Loss: 0.5298	LR: 0.020000
Training Epoch: 8 [10752/46250]	Loss: 0.4653	LR: 0.020000
Training Epoch: 8 [11008/46250]	Loss: 0.4645	LR: 0.020000
Training Epoch: 8 [11264/46250]	Loss: 0.5214	LR: 0.020000
Training Epoch: 8 [11520/46250]	Loss: 0.5110	LR: 0.020000
Training Epoch: 8 [11776/46250]	Loss: 0.4531	LR: 0.020000
Training Epoch: 8 [12032/46250]	Loss: 0.6532	LR: 0.020000
Training Epoch: 8 [12288/46250]	Loss: 0.4484	LR: 0.020000
Training Epoch: 8 [12544/46250]	Loss: 0.4624	LR: 0.020000
Training Epoch: 8 [12800/46250]	Loss: 0.5575	LR: 0.020000
Training Epoch: 8 [13056/46250]	Loss: 0.4628	LR: 0.020000
Training Epoch: 8 [13312/46250]	Loss: 0.4990	LR: 0.020000
Training Epoch: 8 [13568/46250]	Loss: 0.4334	LR: 0.020000
Training Epoch: 8 [13824/46250]	Loss: 0.4801	LR: 0.020000
Training Epoch: 8 [14080/46250]	Loss: 0.3959	LR: 0.020000
Training Epoch: 8 [14336/46250]	Loss: 0.4369	LR: 0.020000
Training Epoch: 8 [14592/46250]	Loss: 0.5335	LR: 0.020000
Training Epoch: 8 [14848/46250]	Loss: 0.5762	LR: 0.020000
Training Epoch: 8 [15104/46250]	Loss: 0.3851	LR: 0.020000
Training Epoch: 8 [15360/46250]	Loss: 0.5212	LR: 0.020000
Training Epoch: 8 [15616/46250]	Loss: 0.4546	LR: 0.020000
Training Epoch: 8 [15872/46250]	Loss: 0.4487	LR: 0.020000
Training Epoch: 8 [16128/46250]	Loss: 0.3933	LR: 0.020000
Training Epoch: 8 [16384/46250]	Loss: 0.4337	LR: 0.020000
Training Epoch: 8 [16640/46250]	Loss: 0.4439	LR: 0.020000
Training Epoch: 8 [16896/46250]	Loss: 0.4751	LR: 0.020000
Training Epoch: 8 [17152/46250]	Loss: 0.4134	LR: 0.020000
Training Epoch: 8 [17408/46250]	Loss: 0.4668	LR: 0.020000
Training Epoch: 8 [17664/46250]	Loss: 0.3839	LR: 0.020000
Training Epoch: 8 [17920/46250]	Loss: 0.4454	LR: 0.020000
Training Epoch: 8 [18176/46250]	Loss: 0.4414	LR: 0.020000
Training Epoch: 8 [18432/46250]	Loss: 0.5004	LR: 0.020000
Training Epoch: 8 [18688/46250]	Loss: 0.4501	LR: 0.020000
Training Epoch: 8 [18944/46250]	Loss: 0.4146	LR: 0.020000
Training Epoch: 8 [19200/46250]	Loss: 0.4627	LR: 0.020000
Training Epoch: 8 [19456/46250]	Loss: 0.3703	LR: 0.020000
Training Epoch: 8 [19712/46250]	Loss: 0.4560	LR: 0.020000
Training Epoch: 8 [19968/46250]	Loss: 0.3973	LR: 0.020000
Training Epoch: 8 [20224/46250]	Loss: 0.5347	LR: 0.020000
Training Epoch: 8 [20480/46250]	Loss: 0.4788	LR: 0.020000
Training Epoch: 8 [20736/46250]	Loss: 0.4005	LR: 0.020000
Training Epoch: 8 [20992/46250]	Loss: 0.5049	LR: 0.020000
Training Epoch: 8 [21248/46250]	Loss: 0.4733	LR: 0.020000
Training Epoch: 8 [21504/46250]	Loss: 0.5226	LR: 0.020000
Training Epoch: 8 [21760/46250]	Loss: 0.4973	LR: 0.020000
Training Epoch: 8 [22016/46250]	Loss: 0.3703	LR: 0.020000
Training Epoch: 8 [22272/46250]	Loss: 0.4623	LR: 0.020000
Training Epoch: 8 [22528/46250]	Loss: 0.4275	LR: 0.020000
Training Epoch: 8 [22784/46250]	Loss: 0.5617	LR: 0.020000
Training Epoch: 8 [23040/46250]	Loss: 0.4280	LR: 0.020000
Training Epoch: 8 [23296/46250]	Loss: 0.4096	LR: 0.020000
Training Epoch: 8 [23552/46250]	Loss: 0.3738	LR: 0.020000
Training Epoch: 8 [23808/46250]	Loss: 0.4281	LR: 0.020000
Training Epoch: 8 [24064/46250]	Loss: 0.5260	LR: 0.020000
Training Epoch: 8 [24320/46250]	Loss: 0.5113	LR: 0.020000
Training Epoch: 8 [24576/46250]	Loss: 0.4105	LR: 0.020000
Training Epoch: 8 [24832/46250]	Loss: 0.3521	LR: 0.020000
Training Epoch: 8 [25088/46250]	Loss: 0.3496	LR: 0.020000
Training Epoch: 8 [25344/46250]	Loss: 0.4248	LR: 0.020000
Training Epoch: 8 [25600/46250]	Loss: 0.3538	LR: 0.020000
Training Epoch: 8 [25856/46250]	Loss: 0.4348	LR: 0.020000
Training Epoch: 8 [26112/46250]	Loss: 0.4479	LR: 0.020000
Training Epoch: 8 [26368/46250]	Loss: 0.5303	LR: 0.020000
Training Epoch: 8 [26624/46250]	Loss: 0.4010	LR: 0.020000
Training Epoch: 8 [26880/46250]	Loss: 0.3954	LR: 0.020000
Training Epoch: 8 [27136/46250]	Loss: 0.3448	LR: 0.020000
Training Epoch: 8 [27392/46250]	Loss: 0.4003	LR: 0.020000
Training Epoch: 8 [27648/46250]	Loss: 0.5235	LR: 0.020000
Training Epoch: 8 [27904/46250]	Loss: 0.4757	LR: 0.020000
Training Epoch: 8 [28160/46250]	Loss: 0.4417	LR: 0.020000
Training Epoch: 8 [28416/46250]	Loss: 0.4410	LR: 0.020000
Training Epoch: 8 [28672/46250]	Loss: 0.4769	LR: 0.020000
Training Epoch: 8 [28928/46250]	Loss: 0.3757	LR: 0.020000
Training Epoch: 8 [29184/46250]	Loss: 0.4979	LR: 0.020000
Training Epoch: 8 [29440/46250]	Loss: 0.5343	LR: 0.020000
Training Epoch: 8 [29696/46250]	Loss: 0.3372	LR: 0.020000
Training Epoch: 8 [29952/46250]	Loss: 0.4126	LR: 0.020000
Training Epoch: 8 [30208/46250]	Loss: 0.4111	LR: 0.020000
Training Epoch: 8 [30464/46250]	Loss: 0.5239	LR: 0.020000
Training Epoch: 8 [30720/46250]	Loss: 0.4392	LR: 0.020000
Training Epoch: 8 [30976/46250]	Loss: 0.3852	LR: 0.020000
Training Epoch: 8 [31232/46250]	Loss: 0.4937	LR: 0.020000
Training Epoch: 8 [31488/46250]	Loss: 0.4318	LR: 0.020000
Training Epoch: 8 [31744/46250]	Loss: 0.4508	LR: 0.020000
Training Epoch: 8 [32000/46250]	Loss: 0.4010	LR: 0.020000
Training Epoch: 8 [32256/46250]	Loss: 0.4489	LR: 0.020000
Training Epoch: 8 [32512/46250]	Loss: 0.4210	LR: 0.020000
Training Epoch: 8 [32768/46250]	Loss: 0.3898	LR: 0.020000
Training Epoch: 8 [33024/46250]	Loss: 0.3728	LR: 0.020000
Training Epoch: 8 [33280/46250]	Loss: 0.4831	LR: 0.020000
Training Epoch: 8 [33536/46250]	Loss: 0.4238	LR: 0.020000
Training Epoch: 8 [33792/46250]	Loss: 0.5272	LR: 0.020000
Training Epoch: 8 [34048/46250]	Loss: 0.3636	LR: 0.020000
Training Epoch: 8 [34304/46250]	Loss: 0.4747	LR: 0.020000
Training Epoch: 8 [34560/46250]	Loss: 0.3972	LR: 0.020000
Training Epoch: 8 [34816/46250]	Loss: 0.4190	LR: 0.020000
Training Epoch: 8 [35072/46250]	Loss: 0.4014	LR: 0.020000
Training Epoch: 8 [35328/46250]	Loss: 0.4541	LR: 0.020000
Training Epoch: 8 [35584/46250]	Loss: 0.4284	LR: 0.020000
Training Epoch: 8 [35840/46250]	Loss: 0.4405	LR: 0.020000
Training Epoch: 8 [36096/46250]	Loss: 0.4035	LR: 0.020000
Training Epoch: 8 [36352/46250]	Loss: 0.4394	LR: 0.020000
Training Epoch: 8 [36608/46250]	Loss: 0.4454	LR: 0.020000
Training Epoch: 8 [36864/46250]	Loss: 0.4731	LR: 0.020000
Training Epoch: 8 [37120/46250]	Loss: 0.4582	LR: 0.020000
Training Epoch: 8 [37376/46250]	Loss: 0.4392	LR: 0.020000
Training Epoch: 8 [37632/46250]	Loss: 0.3997	LR: 0.020000
Training Epoch: 8 [37888/46250]	Loss: 0.5101	LR: 0.020000
Training Epoch: 8 [38144/46250]	Loss: 0.3228	LR: 0.020000
Training Epoch: 8 [38400/46250]	Loss: 0.4156	LR: 0.020000
Training Epoch: 8 [38656/46250]	Loss: 0.5356	LR: 0.020000
Training Epoch: 8 [38912/46250]	Loss: 0.5282	LR: 0.020000
Training Epoch: 8 [39168/46250]	Loss: 0.4010	LR: 0.020000
Training Epoch: 8 [39424/46250]	Loss: 0.4597	LR: 0.020000
Training Epoch: 8 [39680/46250]	Loss: 0.4193	LR: 0.020000
Training Epoch: 8 [39936/46250]	Loss: 0.4845	LR: 0.020000
Training Epoch: 8 [40192/46250]	Loss: 0.4418	LR: 0.020000
Training Epoch: 8 [40448/46250]	Loss: 0.5617	LR: 0.020000
Training Epoch: 8 [40704/46250]	Loss: 0.3867	LR: 0.020000
Training Epoch: 8 [40960/46250]	Loss: 0.3937	LR: 0.020000
Training Epoch: 8 [41216/46250]	Loss: 0.5107	LR: 0.020000
Training Epoch: 8 [41472/46250]	Loss: 0.4343	LR: 0.020000
Training Epoch: 8 [41728/46250]	Loss: 0.3994	LR: 0.020000
Training Epoch: 8 [41984/46250]	Loss: 0.4478	LR: 0.020000
Training Epoch: 8 [42240/46250]	Loss: 0.4440	LR: 0.020000
Training Epoch: 8 [42496/46250]	Loss: 0.4208	LR: 0.020000
Training Epoch: 8 [42752/46250]	Loss: 0.3960	LR: 0.020000
Training Epoch: 8 [43008/46250]	Loss: 0.3656	LR: 0.020000
Training Epoch: 8 [43264/46250]	Loss: 0.3689	LR: 0.020000
Training Epoch: 8 [43520/46250]	Loss: 0.4294	LR: 0.020000
Training Epoch: 8 [43776/46250]	Loss: 0.4398	LR: 0.020000
Training Epoch: 8 [44032/46250]	Loss: 0.4276	LR: 0.020000
Training Epoch: 8 [44288/46250]	Loss: 0.3493	LR: 0.020000
Training Epoch: 8 [44544/46250]	Loss: 0.3753	LR: 0.020000
Training Epoch: 8 [44800/46250]	Loss: 0.4680	LR: 0.020000
Training Epoch: 8 [45056/46250]	Loss: 0.4175	LR: 0.020000
Training Epoch: 8 [45312/46250]	Loss: 0.4045	LR: 0.020000
Training Epoch: 8 [45568/46250]	Loss: 0.3702	LR: 0.020000
Training Epoch: 8 [45824/46250]	Loss: 0.3640	LR: 0.020000
Training Epoch: 8 [46080/46250]	Loss: 0.4150	LR: 0.020000
Training Epoch: 8 [46250/46250]	Loss: 0.4670	LR: 0.020000
Epoch 8 - Average Train Loss: 0.4569, Train Accuracy: 0.8416
Epoch 8 training time consumed: 28.20s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0017, Accuracy: 0.8545, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_09h_04m_17s/ResNet18-Cifar10-seed8-ret25-8-best.pth
Training Epoch: 9 [256/46250]	Loss: 0.3809	LR: 0.020000
Training Epoch: 9 [512/46250]	Loss: 0.4074	LR: 0.020000
Training Epoch: 9 [768/46250]	Loss: 0.5105	LR: 0.020000
Training Epoch: 9 [1024/46250]	Loss: 0.3673	LR: 0.020000
Training Epoch: 9 [1280/46250]	Loss: 0.3723	LR: 0.020000
Training Epoch: 9 [1536/46250]	Loss: 0.4539	LR: 0.020000
Training Epoch: 9 [1792/46250]	Loss: 0.3738	LR: 0.020000
Training Epoch: 9 [2048/46250]	Loss: 0.3774	LR: 0.020000
Training Epoch: 9 [2304/46250]	Loss: 0.3574	LR: 0.020000
Training Epoch: 9 [2560/46250]	Loss: 0.4163	LR: 0.020000
Training Epoch: 9 [2816/46250]	Loss: 0.3616	LR: 0.020000
Training Epoch: 9 [3072/46250]	Loss: 0.3691	LR: 0.020000
Training Epoch: 9 [3328/46250]	Loss: 0.4446	LR: 0.020000
Training Epoch: 9 [3584/46250]	Loss: 0.3560	LR: 0.020000
Training Epoch: 9 [3840/46250]	Loss: 0.4447	LR: 0.020000
Training Epoch: 9 [4096/46250]	Loss: 0.4883	LR: 0.020000
Training Epoch: 9 [4352/46250]	Loss: 0.4560	LR: 0.020000
Training Epoch: 9 [4608/46250]	Loss: 0.3318	LR: 0.020000
Training Epoch: 9 [4864/46250]	Loss: 0.3624	LR: 0.020000
Training Epoch: 9 [5120/46250]	Loss: 0.4272	LR: 0.020000
Training Epoch: 9 [5376/46250]	Loss: 0.5533	LR: 0.020000
Training Epoch: 9 [5632/46250]	Loss: 0.4658	LR: 0.020000
Training Epoch: 9 [5888/46250]	Loss: 0.3676	LR: 0.020000
Training Epoch: 9 [6144/46250]	Loss: 0.4036	LR: 0.020000
Training Epoch: 9 [6400/46250]	Loss: 0.4473	LR: 0.020000
Training Epoch: 9 [6656/46250]	Loss: 0.4824	LR: 0.020000
Training Epoch: 9 [6912/46250]	Loss: 0.4892	LR: 0.020000
Training Epoch: 9 [7168/46250]	Loss: 0.4228	LR: 0.020000
Training Epoch: 9 [7424/46250]	Loss: 0.4382	LR: 0.020000
Training Epoch: 9 [7680/46250]	Loss: 0.3952	LR: 0.020000
Training Epoch: 9 [7936/46250]	Loss: 0.4247	LR: 0.020000
Training Epoch: 9 [8192/46250]	Loss: 0.4509	LR: 0.020000
Training Epoch: 9 [8448/46250]	Loss: 0.4065	LR: 0.020000
Training Epoch: 9 [8704/46250]	Loss: 0.5295	LR: 0.020000
Training Epoch: 9 [8960/46250]	Loss: 0.4214	LR: 0.020000
Training Epoch: 9 [9216/46250]	Loss: 0.3945	LR: 0.020000
Training Epoch: 9 [9472/46250]	Loss: 0.3477	LR: 0.020000
Training Epoch: 9 [9728/46250]	Loss: 0.4006	LR: 0.020000
Training Epoch: 9 [9984/46250]	Loss: 0.3932	LR: 0.020000
Training Epoch: 9 [10240/46250]	Loss: 0.4101	LR: 0.020000
Training Epoch: 9 [10496/46250]	Loss: 0.4625	LR: 0.020000
Training Epoch: 9 [10752/46250]	Loss: 0.4519	LR: 0.020000
Training Epoch: 9 [11008/46250]	Loss: 0.3570	LR: 0.020000
Training Epoch: 9 [11264/46250]	Loss: 0.3454	LR: 0.020000
Training Epoch: 9 [11520/46250]	Loss: 0.3544	LR: 0.020000
Training Epoch: 9 [11776/46250]	Loss: 0.4283	LR: 0.020000
Training Epoch: 9 [12032/46250]	Loss: 0.4072	LR: 0.020000
Training Epoch: 9 [12288/46250]	Loss: 0.3787	LR: 0.020000
Training Epoch: 9 [12544/46250]	Loss: 0.3949	LR: 0.020000
Training Epoch: 9 [12800/46250]	Loss: 0.4365	LR: 0.020000
Training Epoch: 9 [13056/46250]	Loss: 0.3916	LR: 0.020000
Training Epoch: 9 [13312/46250]	Loss: 0.3835	LR: 0.020000
Training Epoch: 9 [13568/46250]	Loss: 0.4693	LR: 0.020000
Training Epoch: 9 [13824/46250]	Loss: 0.4216	LR: 0.020000
Training Epoch: 9 [14080/46250]	Loss: 0.4663	LR: 0.020000
Training Epoch: 9 [14336/46250]	Loss: 0.4501	LR: 0.020000
Training Epoch: 9 [14592/46250]	Loss: 0.3301	LR: 0.020000
Training Epoch: 9 [14848/46250]	Loss: 0.3949	LR: 0.020000
Training Epoch: 9 [15104/46250]	Loss: 0.3888	LR: 0.020000
Training Epoch: 9 [15360/46250]	Loss: 0.3630	LR: 0.020000
Training Epoch: 9 [15616/46250]	Loss: 0.3822	LR: 0.020000
Training Epoch: 9 [15872/46250]	Loss: 0.4694	LR: 0.020000
Training Epoch: 9 [16128/46250]	Loss: 0.4589	LR: 0.020000
Training Epoch: 9 [16384/46250]	Loss: 0.4642	LR: 0.020000
Training Epoch: 9 [16640/46250]	Loss: 0.5091	LR: 0.020000
Training Epoch: 9 [16896/46250]	Loss: 0.4380	LR: 0.020000
Training Epoch: 9 [17152/46250]	Loss: 0.4566	LR: 0.020000
Training Epoch: 9 [17408/46250]	Loss: 0.5338	LR: 0.020000
Training Epoch: 9 [17664/46250]	Loss: 0.3921	LR: 0.020000
Training Epoch: 9 [17920/46250]	Loss: 0.3641	LR: 0.020000
Training Epoch: 9 [18176/46250]	Loss: 0.3645	LR: 0.020000
Training Epoch: 9 [18432/46250]	Loss: 0.4677	LR: 0.020000
Training Epoch: 9 [18688/46250]	Loss: 0.4845	LR: 0.020000
Training Epoch: 9 [18944/46250]	Loss: 0.3474	LR: 0.020000
Training Epoch: 9 [19200/46250]	Loss: 0.4477	LR: 0.020000
Training Epoch: 9 [19456/46250]	Loss: 0.4802	LR: 0.020000
Training Epoch: 9 [19712/46250]	Loss: 0.4957	LR: 0.020000
Training Epoch: 9 [19968/46250]	Loss: 0.3974	LR: 0.020000
Training Epoch: 9 [20224/46250]	Loss: 0.3287	LR: 0.020000
Training Epoch: 9 [20480/46250]	Loss: 0.4151	LR: 0.020000
Training Epoch: 9 [20736/46250]	Loss: 0.4111	LR: 0.020000
Training Epoch: 9 [20992/46250]	Loss: 0.5192	LR: 0.020000
Training Epoch: 9 [21248/46250]	Loss: 0.3964	LR: 0.020000
Training Epoch: 9 [21504/46250]	Loss: 0.3984	LR: 0.020000
Training Epoch: 9 [21760/46250]	Loss: 0.4241	LR: 0.020000
Training Epoch: 9 [22016/46250]	Loss: 0.3618	LR: 0.020000
Training Epoch: 9 [22272/46250]	Loss: 0.3575	LR: 0.020000
Training Epoch: 9 [22528/46250]	Loss: 0.4138	LR: 0.020000
Training Epoch: 9 [22784/46250]	Loss: 0.3572	LR: 0.020000
Training Epoch: 9 [23040/46250]	Loss: 0.4201	LR: 0.020000
Training Epoch: 9 [23296/46250]	Loss: 0.5606	LR: 0.020000
Training Epoch: 9 [23552/46250]	Loss: 0.3739	LR: 0.020000
Training Epoch: 9 [23808/46250]	Loss: 0.3753	LR: 0.020000
Training Epoch: 9 [24064/46250]	Loss: 0.3494	LR: 0.020000
Training Epoch: 9 [24320/46250]	Loss: 0.4345	LR: 0.020000
Training Epoch: 9 [24576/46250]	Loss: 0.4227	LR: 0.020000
Training Epoch: 9 [24832/46250]	Loss: 0.3652	LR: 0.020000
Training Epoch: 9 [25088/46250]	Loss: 0.3594	LR: 0.020000
Training Epoch: 9 [25344/46250]	Loss: 0.3346	LR: 0.020000
Training Epoch: 9 [25600/46250]	Loss: 0.4159	LR: 0.020000
Training Epoch: 9 [25856/46250]	Loss: 0.3216	LR: 0.020000
Training Epoch: 9 [26112/46250]	Loss: 0.3638	LR: 0.020000
Training Epoch: 9 [26368/46250]	Loss: 0.4991	LR: 0.020000
Training Epoch: 9 [26624/46250]	Loss: 0.3652	LR: 0.020000
Training Epoch: 9 [26880/46250]	Loss: 0.3619	LR: 0.020000
Training Epoch: 9 [27136/46250]	Loss: 0.5090	LR: 0.020000
Training Epoch: 9 [27392/46250]	Loss: 0.4992	LR: 0.020000
Training Epoch: 9 [27648/46250]	Loss: 0.4278	LR: 0.020000
Training Epoch: 9 [27904/46250]	Loss: 0.3911	LR: 0.020000
Training Epoch: 9 [28160/46250]	Loss: 0.4780	LR: 0.020000
Training Epoch: 9 [28416/46250]	Loss: 0.3473	LR: 0.020000
Training Epoch: 9 [28672/46250]	Loss: 0.4832	LR: 0.020000
Training Epoch: 9 [28928/46250]	Loss: 0.4595	LR: 0.020000
Training Epoch: 9 [29184/46250]	Loss: 0.3747	LR: 0.020000
Training Epoch: 9 [29440/46250]	Loss: 0.3995	LR: 0.020000
Training Epoch: 9 [29696/46250]	Loss: 0.3439	LR: 0.020000
Training Epoch: 9 [29952/46250]	Loss: 0.4196	LR: 0.020000
Training Epoch: 9 [30208/46250]	Loss: 0.3858	LR: 0.020000
Training Epoch: 9 [30464/46250]	Loss: 0.4062	LR: 0.020000
Training Epoch: 9 [30720/46250]	Loss: 0.4277	LR: 0.020000
Training Epoch: 9 [30976/46250]	Loss: 0.3867	LR: 0.020000
Training Epoch: 9 [31232/46250]	Loss: 0.4600	LR: 0.020000
Training Epoch: 9 [31488/46250]	Loss: 0.3887	LR: 0.020000
Training Epoch: 9 [31744/46250]	Loss: 0.3915	LR: 0.020000
Training Epoch: 9 [32000/46250]	Loss: 0.3767	LR: 0.020000
Training Epoch: 9 [32256/46250]	Loss: 0.4169	LR: 0.020000
Training Epoch: 9 [32512/46250]	Loss: 0.5383	LR: 0.020000
Training Epoch: 9 [32768/46250]	Loss: 0.5163	LR: 0.020000
Training Epoch: 9 [33024/46250]	Loss: 0.4569	LR: 0.020000
Training Epoch: 9 [33280/46250]	Loss: 0.4561	LR: 0.020000
Training Epoch: 9 [33536/46250]	Loss: 0.3267	LR: 0.020000
Training Epoch: 9 [33792/46250]	Loss: 0.4188	LR: 0.020000
Training Epoch: 9 [34048/46250]	Loss: 0.4006	LR: 0.020000
Training Epoch: 9 [34304/46250]	Loss: 0.4298	LR: 0.020000
Training Epoch: 9 [34560/46250]	Loss: 0.3850	LR: 0.020000
Training Epoch: 9 [34816/46250]	Loss: 0.3893	LR: 0.020000
Training Epoch: 9 [35072/46250]	Loss: 0.4934	LR: 0.020000
Training Epoch: 9 [35328/46250]	Loss: 0.3955	LR: 0.020000
Training Epoch: 9 [35584/46250]	Loss: 0.4220	LR: 0.020000
Training Epoch: 9 [35840/46250]	Loss: 0.4416	LR: 0.020000
Training Epoch: 9 [36096/46250]	Loss: 0.3704	LR: 0.020000
Training Epoch: 9 [36352/46250]	Loss: 0.4191	LR: 0.020000
Training Epoch: 9 [36608/46250]	Loss: 0.3616	LR: 0.020000
Training Epoch: 9 [36864/46250]	Loss: 0.4164	LR: 0.020000
Training Epoch: 9 [37120/46250]	Loss: 0.4315	LR: 0.020000
Training Epoch: 9 [37376/46250]	Loss: 0.3419	LR: 0.020000
Training Epoch: 9 [37632/46250]	Loss: 0.3689	LR: 0.020000
Training Epoch: 9 [37888/46250]	Loss: 0.4082	LR: 0.020000
Training Epoch: 9 [38144/46250]	Loss: 0.3576	LR: 0.020000
Training Epoch: 9 [38400/46250]	Loss: 0.4157	LR: 0.020000
Training Epoch: 9 [38656/46250]	Loss: 0.4763	LR: 0.020000
Training Epoch: 9 [38912/46250]	Loss: 0.3769	LR: 0.020000
Training Epoch: 9 [39168/46250]	Loss: 0.3125	LR: 0.020000
Training Epoch: 9 [39424/46250]	Loss: 0.3351	LR: 0.020000
Training Epoch: 9 [39680/46250]	Loss: 0.5171	LR: 0.020000
Training Epoch: 9 [39936/46250]	Loss: 0.4447	LR: 0.020000
Training Epoch: 9 [40192/46250]	Loss: 0.3780	LR: 0.020000
Training Epoch: 9 [40448/46250]	Loss: 0.4638	LR: 0.020000
Training Epoch: 9 [40704/46250]	Loss: 0.3437	LR: 0.020000
Training Epoch: 9 [40960/46250]	Loss: 0.4600	LR: 0.020000
Training Epoch: 9 [41216/46250]	Loss: 0.4193	LR: 0.020000
Training Epoch: 9 [41472/46250]	Loss: 0.4149	LR: 0.020000
Training Epoch: 9 [41728/46250]	Loss: 0.3878	LR: 0.020000
Training Epoch: 9 [41984/46250]	Loss: 0.3672	LR: 0.020000
Training Epoch: 9 [42240/46250]	Loss: 0.3735	LR: 0.020000
Training Epoch: 9 [42496/46250]	Loss: 0.3365	LR: 0.020000
Training Epoch: 9 [42752/46250]	Loss: 0.4170	LR: 0.020000
Training Epoch: 9 [43008/46250]	Loss: 0.4094	LR: 0.020000
Training Epoch: 9 [43264/46250]	Loss: 0.3665	LR: 0.020000
Training Epoch: 9 [43520/46250]	Loss: 0.3543	LR: 0.020000
Training Epoch: 9 [43776/46250]	Loss: 0.3498	LR: 0.020000
Training Epoch: 9 [44032/46250]	Loss: 0.4229	LR: 0.020000
Training Epoch: 9 [44288/46250]	Loss: 0.4173	LR: 0.020000
Training Epoch: 9 [44544/46250]	Loss: 0.3576	LR: 0.020000
Training Epoch: 9 [44800/46250]	Loss: 0.4530	LR: 0.020000
Training Epoch: 9 [45056/46250]	Loss: 0.4660	LR: 0.020000
Training Epoch: 9 [45312/46250]	Loss: 0.4251	LR: 0.020000
Training Epoch: 9 [45568/46250]	Loss: 0.3691	LR: 0.020000
Training Epoch: 9 [45824/46250]	Loss: 0.4004	LR: 0.020000
Training Epoch: 9 [46080/46250]	Loss: 0.4748	LR: 0.020000
Training Epoch: 9 [46250/46250]	Loss: 0.5031	LR: 0.020000
Epoch 9 - Average Train Loss: 0.4129, Train Accuracy: 0.8550
Epoch 9 training time consumed: 28.16s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0016, Accuracy: 0.8607, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_09h_04m_17s/ResNet18-Cifar10-seed8-ret25-9-best.pth
Training Epoch: 10 [256/46250]	Loss: 0.2728	LR: 0.020000
Training Epoch: 10 [512/46250]	Loss: 0.4056	LR: 0.020000
Training Epoch: 10 [768/46250]	Loss: 0.4315	LR: 0.020000
Training Epoch: 10 [1024/46250]	Loss: 0.4285	LR: 0.020000
Training Epoch: 10 [1280/46250]	Loss: 0.4021	LR: 0.020000
Training Epoch: 10 [1536/46250]	Loss: 0.4507	LR: 0.020000
Training Epoch: 10 [1792/46250]	Loss: 0.4809	LR: 0.020000
Training Epoch: 10 [2048/46250]	Loss: 0.3791	LR: 0.020000
Training Epoch: 10 [2304/46250]	Loss: 0.3732	LR: 0.020000
Training Epoch: 10 [2560/46250]	Loss: 0.4028	LR: 0.020000
Training Epoch: 10 [2816/46250]	Loss: 0.4377	LR: 0.020000
Training Epoch: 10 [3072/46250]	Loss: 0.4158	LR: 0.020000
Training Epoch: 10 [3328/46250]	Loss: 0.3918	LR: 0.020000
Training Epoch: 10 [3584/46250]	Loss: 0.3786	LR: 0.020000
Training Epoch: 10 [3840/46250]	Loss: 0.3863	LR: 0.020000
Training Epoch: 10 [4096/46250]	Loss: 0.3321	LR: 0.020000
Training Epoch: 10 [4352/46250]	Loss: 0.4330	LR: 0.020000
Training Epoch: 10 [4608/46250]	Loss: 0.3745	LR: 0.020000
Training Epoch: 10 [4864/46250]	Loss: 0.2922	LR: 0.020000
Training Epoch: 10 [5120/46250]	Loss: 0.4299	LR: 0.020000
Training Epoch: 10 [5376/46250]	Loss: 0.3876	LR: 0.020000
Training Epoch: 10 [5632/46250]	Loss: 0.3219	LR: 0.020000
Training Epoch: 10 [5888/46250]	Loss: 0.3551	LR: 0.020000
Training Epoch: 10 [6144/46250]	Loss: 0.5023	LR: 0.020000
Training Epoch: 10 [6400/46250]	Loss: 0.4237	LR: 0.020000
Training Epoch: 10 [6656/46250]	Loss: 0.3674	LR: 0.020000
Training Epoch: 10 [6912/46250]	Loss: 0.3702	LR: 0.020000
Training Epoch: 10 [7168/46250]	Loss: 0.4644	LR: 0.020000
Training Epoch: 10 [7424/46250]	Loss: 0.4233	LR: 0.020000
Training Epoch: 10 [7680/46250]	Loss: 0.3595	LR: 0.020000
Training Epoch: 10 [7936/46250]	Loss: 0.4382	LR: 0.020000
Training Epoch: 10 [8192/46250]	Loss: 0.3712	LR: 0.020000
Training Epoch: 10 [8448/46250]	Loss: 0.4222	LR: 0.020000
Training Epoch: 10 [8704/46250]	Loss: 0.4204	LR: 0.020000
Training Epoch: 10 [8960/46250]	Loss: 0.3626	LR: 0.020000
Training Epoch: 10 [9216/46250]	Loss: 0.3382	LR: 0.020000
Training Epoch: 10 [9472/46250]	Loss: 0.3908	LR: 0.020000
Training Epoch: 10 [9728/46250]	Loss: 0.4345	LR: 0.020000
Training Epoch: 10 [9984/46250]	Loss: 0.3576	LR: 0.020000
Training Epoch: 10 [10240/46250]	Loss: 0.4182	LR: 0.020000
Training Epoch: 10 [10496/46250]	Loss: 0.3499	LR: 0.020000
Training Epoch: 10 [10752/46250]	Loss: 0.3744	LR: 0.020000
Training Epoch: 10 [11008/46250]	Loss: 0.4845	LR: 0.020000
Training Epoch: 10 [11264/46250]	Loss: 0.4672	LR: 0.020000
Training Epoch: 10 [11520/46250]	Loss: 0.2733	LR: 0.020000
Training Epoch: 10 [11776/46250]	Loss: 0.3975	LR: 0.020000
Training Epoch: 10 [12032/46250]	Loss: 0.3555	LR: 0.020000
Training Epoch: 10 [12288/46250]	Loss: 0.5404	LR: 0.020000
Training Epoch: 10 [12544/46250]	Loss: 0.3703	LR: 0.020000
Training Epoch: 10 [12800/46250]	Loss: 0.4322	LR: 0.020000
Training Epoch: 10 [13056/46250]	Loss: 0.3814	LR: 0.020000
Training Epoch: 10 [13312/46250]	Loss: 0.3624	LR: 0.020000
Training Epoch: 10 [13568/46250]	Loss: 0.3754	LR: 0.020000
Training Epoch: 10 [13824/46250]	Loss: 0.3761	LR: 0.020000
Training Epoch: 10 [14080/46250]	Loss: 0.4638	LR: 0.020000
Training Epoch: 10 [14336/46250]	Loss: 0.3961	LR: 0.020000
Training Epoch: 10 [14592/46250]	Loss: 0.3254	LR: 0.020000
Training Epoch: 10 [14848/46250]	Loss: 0.4078	LR: 0.020000
Training Epoch: 10 [15104/46250]	Loss: 0.3647	LR: 0.020000
Training Epoch: 10 [15360/46250]	Loss: 0.4664	LR: 0.020000
Training Epoch: 10 [15616/46250]	Loss: 0.3709	LR: 0.020000
Training Epoch: 10 [15872/46250]	Loss: 0.3283	LR: 0.020000
Training Epoch: 10 [16128/46250]	Loss: 0.3519	LR: 0.020000
Training Epoch: 10 [16384/46250]	Loss: 0.3674	LR: 0.020000
Training Epoch: 10 [16640/46250]	Loss: 0.3775	LR: 0.020000
Training Epoch: 10 [16896/46250]	Loss: 0.3538	LR: 0.020000
Training Epoch: 10 [17152/46250]	Loss: 0.3502	LR: 0.020000
Training Epoch: 10 [17408/46250]	Loss: 0.3549	LR: 0.020000
Training Epoch: 10 [17664/46250]	Loss: 0.3863	LR: 0.020000
Training Epoch: 10 [17920/46250]	Loss: 0.4287	LR: 0.020000
Training Epoch: 10 [18176/46250]	Loss: 0.5294	LR: 0.020000
Training Epoch: 10 [18432/46250]	Loss: 0.3627	LR: 0.020000
Training Epoch: 10 [18688/46250]	Loss: 0.4944	LR: 0.020000
Training Epoch: 10 [18944/46250]	Loss: 0.3960	LR: 0.020000
Training Epoch: 10 [19200/46250]	Loss: 0.3396	LR: 0.020000
Training Epoch: 10 [19456/46250]	Loss: 0.3058	LR: 0.020000
Training Epoch: 10 [19712/46250]	Loss: 0.3471	LR: 0.020000
Training Epoch: 10 [19968/46250]	Loss: 0.3934	LR: 0.020000
Training Epoch: 10 [20224/46250]	Loss: 0.3937	LR: 0.020000
Training Epoch: 10 [20480/46250]	Loss: 0.3046	LR: 0.020000
Training Epoch: 10 [20736/46250]	Loss: 0.4381	LR: 0.020000
Training Epoch: 10 [20992/46250]	Loss: 0.3405	LR: 0.020000
Training Epoch: 10 [21248/46250]	Loss: 0.4502	LR: 0.020000
Training Epoch: 10 [21504/46250]	Loss: 0.3506	LR: 0.020000
Training Epoch: 10 [21760/46250]	Loss: 0.4074	LR: 0.020000
Training Epoch: 10 [22016/46250]	Loss: 0.3487	LR: 0.020000
Training Epoch: 10 [22272/46250]	Loss: 0.4559	LR: 0.020000
Training Epoch: 10 [22528/46250]	Loss: 0.4587	LR: 0.020000
Training Epoch: 10 [22784/46250]	Loss: 0.3385	LR: 0.020000
Training Epoch: 10 [23040/46250]	Loss: 0.4295	LR: 0.020000
Training Epoch: 10 [23296/46250]	Loss: 0.4350	LR: 0.020000
Training Epoch: 10 [23552/46250]	Loss: 0.3604	LR: 0.020000
Training Epoch: 10 [23808/46250]	Loss: 0.4008	LR: 0.020000
Training Epoch: 10 [24064/46250]	Loss: 0.3813	LR: 0.020000
Training Epoch: 10 [24320/46250]	Loss: 0.3731	LR: 0.020000
Training Epoch: 10 [24576/46250]	Loss: 0.4416	LR: 0.020000
Training Epoch: 10 [24832/46250]	Loss: 0.3770	LR: 0.020000
Training Epoch: 10 [25088/46250]	Loss: 0.4384	LR: 0.020000
Training Epoch: 10 [25344/46250]	Loss: 0.4117	LR: 0.020000
Training Epoch: 10 [25600/46250]	Loss: 0.3918	LR: 0.020000
Training Epoch: 10 [25856/46250]	Loss: 0.4089	LR: 0.020000
Training Epoch: 10 [26112/46250]	Loss: 0.3709	LR: 0.020000
Training Epoch: 10 [26368/46250]	Loss: 0.3824	LR: 0.020000
Training Epoch: 10 [26624/46250]	Loss: 0.4092	LR: 0.020000
Training Epoch: 10 [26880/46250]	Loss: 0.3646	LR: 0.020000
Training Epoch: 10 [27136/46250]	Loss: 0.3471	LR: 0.020000
Training Epoch: 10 [27392/46250]	Loss: 0.3955	LR: 0.020000
Training Epoch: 10 [27648/46250]	Loss: 0.4103	LR: 0.020000
Training Epoch: 10 [27904/46250]	Loss: 0.4036	LR: 0.020000
Training Epoch: 10 [28160/46250]	Loss: 0.5036	LR: 0.020000
Training Epoch: 10 [28416/46250]	Loss: 0.3793	LR: 0.020000
Training Epoch: 10 [28672/46250]	Loss: 0.3804	LR: 0.020000
Training Epoch: 10 [28928/46250]	Loss: 0.3484	LR: 0.020000
Training Epoch: 10 [29184/46250]	Loss: 0.3476	LR: 0.020000
Training Epoch: 10 [29440/46250]	Loss: 0.3390	LR: 0.020000
Training Epoch: 10 [29696/46250]	Loss: 0.3894	LR: 0.020000
Training Epoch: 10 [29952/46250]	Loss: 0.4245	LR: 0.020000
Training Epoch: 10 [30208/46250]	Loss: 0.3065	LR: 0.020000
Training Epoch: 10 [30464/46250]	Loss: 0.4059	LR: 0.020000
Training Epoch: 10 [30720/46250]	Loss: 0.3821	LR: 0.020000
Training Epoch: 10 [30976/46250]	Loss: 0.3369	LR: 0.020000
Training Epoch: 10 [31232/46250]	Loss: 0.3722	LR: 0.020000
Training Epoch: 10 [31488/46250]	Loss: 0.3410	LR: 0.020000
Training Epoch: 10 [31744/46250]	Loss: 0.3154	LR: 0.020000
Training Epoch: 10 [32000/46250]	Loss: 0.4096	LR: 0.020000
Training Epoch: 10 [32256/46250]	Loss: 0.3699	LR: 0.020000
Training Epoch: 10 [32512/46250]	Loss: 0.3536	LR: 0.020000
Training Epoch: 10 [32768/46250]	Loss: 0.3377	LR: 0.020000
Training Epoch: 10 [33024/46250]	Loss: 0.4084	LR: 0.020000
Training Epoch: 10 [33280/46250]	Loss: 0.3440	LR: 0.020000
Training Epoch: 10 [33536/46250]	Loss: 0.3825	LR: 0.020000
Training Epoch: 10 [33792/46250]	Loss: 0.4157	LR: 0.020000
Training Epoch: 10 [34048/46250]	Loss: 0.3195	LR: 0.020000
Training Epoch: 10 [34304/46250]	Loss: 0.3606	LR: 0.020000
Training Epoch: 10 [34560/46250]	Loss: 0.4120	LR: 0.020000
Training Epoch: 10 [34816/46250]	Loss: 0.3918	LR: 0.020000
Training Epoch: 10 [35072/46250]	Loss: 0.3400	LR: 0.020000
Training Epoch: 10 [35328/46250]	Loss: 0.4428	LR: 0.020000
Training Epoch: 10 [35584/46250]	Loss: 0.3581	LR: 0.020000
Training Epoch: 10 [35840/46250]	Loss: 0.3619	LR: 0.020000
Training Epoch: 10 [36096/46250]	Loss: 0.4521	LR: 0.020000
Training Epoch: 10 [36352/46250]	Loss: 0.3213	LR: 0.020000
Training Epoch: 10 [36608/46250]	Loss: 0.3882	LR: 0.020000
Training Epoch: 10 [36864/46250]	Loss: 0.3850	LR: 0.020000
Training Epoch: 10 [37120/46250]	Loss: 0.2858	LR: 0.020000
Training Epoch: 10 [37376/46250]	Loss: 0.4009	LR: 0.020000
Training Epoch: 10 [37632/46250]	Loss: 0.3794	LR: 0.020000
Training Epoch: 10 [37888/46250]	Loss: 0.4069	LR: 0.020000
Training Epoch: 10 [38144/46250]	Loss: 0.3988	LR: 0.020000
Training Epoch: 10 [38400/46250]	Loss: 0.3815	LR: 0.020000
Training Epoch: 10 [38656/46250]	Loss: 0.4428	LR: 0.020000
Training Epoch: 10 [38912/46250]	Loss: 0.3697	LR: 0.020000
Training Epoch: 10 [39168/46250]	Loss: 0.4898	LR: 0.020000
Training Epoch: 10 [39424/46250]	Loss: 0.4195	LR: 0.020000
Training Epoch: 10 [39680/46250]	Loss: 0.4130	LR: 0.020000
Training Epoch: 10 [39936/46250]	Loss: 0.3837	LR: 0.020000
Training Epoch: 10 [40192/46250]	Loss: 0.4109	LR: 0.020000
Training Epoch: 10 [40448/46250]	Loss: 0.3309	LR: 0.020000
Training Epoch: 10 [40704/46250]	Loss: 0.3622	LR: 0.020000
Training Epoch: 10 [40960/46250]	Loss: 0.4243	LR: 0.020000
Training Epoch: 10 [41216/46250]	Loss: 0.4465	LR: 0.020000
Training Epoch: 10 [41472/46250]	Loss: 0.4388	LR: 0.020000
Training Epoch: 10 [41728/46250]	Loss: 0.3584	LR: 0.020000
Training Epoch: 10 [41984/46250]	Loss: 0.4302	LR: 0.020000
Training Epoch: 10 [42240/46250]	Loss: 0.4075	LR: 0.020000
Training Epoch: 10 [42496/46250]	Loss: 0.4309	LR: 0.020000
Training Epoch: 10 [42752/46250]	Loss: 0.3946	LR: 0.020000
Training Epoch: 10 [43008/46250]	Loss: 0.3945	LR: 0.020000
Training Epoch: 10 [43264/46250]	Loss: 0.3743	LR: 0.020000
Training Epoch: 10 [43520/46250]	Loss: 0.4277	LR: 0.020000
Training Epoch: 10 [43776/46250]	Loss: 0.3902	LR: 0.020000
Training Epoch: 10 [44032/46250]	Loss: 0.3832	LR: 0.020000
Training Epoch: 10 [44288/46250]	Loss: 0.3130	LR: 0.020000
Training Epoch: 10 [44544/46250]	Loss: 0.3620	LR: 0.020000
Training Epoch: 10 [44800/46250]	Loss: 0.3783	LR: 0.020000
Training Epoch: 10 [45056/46250]	Loss: 0.3645	LR: 0.020000
Training Epoch: 10 [45312/46250]	Loss: 0.4355	LR: 0.020000
Training Epoch: 10 [45568/46250]	Loss: 0.3640	LR: 0.020000
Training Epoch: 10 [45824/46250]	Loss: 0.3746	LR: 0.020000
Training Epoch: 10 [46080/46250]	Loss: 0.2762	LR: 0.020000
Training Epoch: 10 [46250/46250]	Loss: 0.3898	LR: 0.020000
Epoch 10 - Average Train Loss: 0.3890, Train Accuracy: 0.8659
Epoch 10 training time consumed: 28.16s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0016, Accuracy: 0.8713, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_09h_04m_17s/ResNet18-Cifar10-seed8-ret25-10-best.pth
Training Epoch: 11 [256/46250]	Loss: 0.3444	LR: 0.020000
Training Epoch: 11 [512/46250]	Loss: 0.3327	LR: 0.020000
Training Epoch: 11 [768/46250]	Loss: 0.4213	LR: 0.020000
Training Epoch: 11 [1024/46250]	Loss: 0.4672	LR: 0.020000
Training Epoch: 11 [1280/46250]	Loss: 0.3727	LR: 0.020000
Training Epoch: 11 [1536/46250]	Loss: 0.3406	LR: 0.020000
Training Epoch: 11 [1792/46250]	Loss: 0.3424	LR: 0.020000
Training Epoch: 11 [2048/46250]	Loss: 0.3241	LR: 0.020000
Training Epoch: 11 [2304/46250]	Loss: 0.2710	LR: 0.020000
Training Epoch: 11 [2560/46250]	Loss: 0.3627	LR: 0.020000
Training Epoch: 11 [2816/46250]	Loss: 0.3780	LR: 0.020000
Training Epoch: 11 [3072/46250]	Loss: 0.4152	LR: 0.020000
Training Epoch: 11 [3328/46250]	Loss: 0.3976	LR: 0.020000
Training Epoch: 11 [3584/46250]	Loss: 0.4506	LR: 0.020000
Training Epoch: 11 [3840/46250]	Loss: 0.3183	LR: 0.020000
Training Epoch: 11 [4096/46250]	Loss: 0.3381	LR: 0.020000
Training Epoch: 11 [4352/46250]	Loss: 0.3556	LR: 0.020000
Training Epoch: 11 [4608/46250]	Loss: 0.3220	LR: 0.020000
Training Epoch: 11 [4864/46250]	Loss: 0.3822	LR: 0.020000
Training Epoch: 11 [5120/46250]	Loss: 0.3838	LR: 0.020000
Training Epoch: 11 [5376/46250]	Loss: 0.3884	LR: 0.020000
Training Epoch: 11 [5632/46250]	Loss: 0.4331	LR: 0.020000
Training Epoch: 11 [5888/46250]	Loss: 0.4198	LR: 0.020000
Training Epoch: 11 [6144/46250]	Loss: 0.2923	LR: 0.020000
Training Epoch: 11 [6400/46250]	Loss: 0.4087	LR: 0.020000
Training Epoch: 11 [6656/46250]	Loss: 0.3521	LR: 0.020000
Training Epoch: 11 [6912/46250]	Loss: 0.3038	LR: 0.020000
Training Epoch: 11 [7168/46250]	Loss: 0.3914	LR: 0.020000
Training Epoch: 11 [7424/46250]	Loss: 0.4194	LR: 0.020000
Training Epoch: 11 [7680/46250]	Loss: 0.3187	LR: 0.020000
Training Epoch: 11 [7936/46250]	Loss: 0.3490	LR: 0.020000
Training Epoch: 11 [8192/46250]	Loss: 0.3235	LR: 0.020000
Training Epoch: 11 [8448/46250]	Loss: 0.3383	LR: 0.020000
Training Epoch: 11 [8704/46250]	Loss: 0.3608	LR: 0.020000
Training Epoch: 11 [8960/46250]	Loss: 0.3406	LR: 0.020000
Training Epoch: 11 [9216/46250]	Loss: 0.3748	LR: 0.020000
Training Epoch: 11 [9472/46250]	Loss: 0.4000	LR: 0.020000
Training Epoch: 11 [9728/46250]	Loss: 0.4230	LR: 0.020000
Training Epoch: 11 [9984/46250]	Loss: 0.4308	LR: 0.020000
Training Epoch: 11 [10240/46250]	Loss: 0.3782	LR: 0.020000
Training Epoch: 11 [10496/46250]	Loss: 0.3453	LR: 0.020000
Training Epoch: 11 [10752/46250]	Loss: 0.3753	LR: 0.020000
Training Epoch: 11 [11008/46250]	Loss: 0.3076	LR: 0.020000
Training Epoch: 11 [11264/46250]	Loss: 0.3256	LR: 0.020000
Training Epoch: 11 [11520/46250]	Loss: 0.2846	LR: 0.020000
Training Epoch: 11 [11776/46250]	Loss: 0.3230	LR: 0.020000
Training Epoch: 11 [12032/46250]	Loss: 0.3843	LR: 0.020000
Training Epoch: 11 [12288/46250]	Loss: 0.4040	LR: 0.020000
Training Epoch: 11 [12544/46250]	Loss: 0.3911	LR: 0.020000
Training Epoch: 11 [12800/46250]	Loss: 0.3748	LR: 0.020000
Training Epoch: 11 [13056/46250]	Loss: 0.4904	LR: 0.020000
Training Epoch: 11 [13312/46250]	Loss: 0.4769	LR: 0.020000
Training Epoch: 11 [13568/46250]	Loss: 0.3793	LR: 0.020000
Training Epoch: 11 [13824/46250]	Loss: 0.3203	LR: 0.020000
Training Epoch: 11 [14080/46250]	Loss: 0.3995	LR: 0.020000
Training Epoch: 11 [14336/46250]	Loss: 0.2844	LR: 0.020000
Training Epoch: 11 [14592/46250]	Loss: 0.3899	LR: 0.020000
Training Epoch: 11 [14848/46250]	Loss: 0.3952	LR: 0.020000
Training Epoch: 11 [15104/46250]	Loss: 0.3516	LR: 0.020000
Training Epoch: 11 [15360/46250]	Loss: 0.3995	LR: 0.020000
Training Epoch: 11 [15616/46250]	Loss: 0.3457	LR: 0.020000
Training Epoch: 11 [15872/46250]	Loss: 0.3816	LR: 0.020000
Training Epoch: 11 [16128/46250]	Loss: 0.4011	LR: 0.020000
Training Epoch: 11 [16384/46250]	Loss: 0.3607	LR: 0.020000
Training Epoch: 11 [16640/46250]	Loss: 0.3564	LR: 0.020000
Training Epoch: 11 [16896/46250]	Loss: 0.3478	LR: 0.020000
Training Epoch: 11 [17152/46250]	Loss: 0.4156	LR: 0.020000
Training Epoch: 11 [17408/46250]	Loss: 0.2700	LR: 0.020000
Training Epoch: 11 [17664/46250]	Loss: 0.4225	LR: 0.020000
Training Epoch: 11 [17920/46250]	Loss: 0.3474	LR: 0.020000
Training Epoch: 11 [18176/46250]	Loss: 0.3528	LR: 0.020000
Training Epoch: 11 [18432/46250]	Loss: 0.3469	LR: 0.020000
Training Epoch: 11 [18688/46250]	Loss: 0.3302	LR: 0.020000
Training Epoch: 11 [18944/46250]	Loss: 0.4044	LR: 0.020000
Training Epoch: 11 [19200/46250]	Loss: 0.3438	LR: 0.020000
Training Epoch: 11 [19456/46250]	Loss: 0.3906	LR: 0.020000
Training Epoch: 11 [19712/46250]	Loss: 0.4492	LR: 0.020000
Training Epoch: 11 [19968/46250]	Loss: 0.3131	LR: 0.020000
Training Epoch: 11 [20224/46250]	Loss: 0.3375	LR: 0.020000
Training Epoch: 11 [20480/46250]	Loss: 0.4046	LR: 0.020000
Training Epoch: 11 [20736/46250]	Loss: 0.3404	LR: 0.020000
Training Epoch: 11 [20992/46250]	Loss: 0.3980	LR: 0.020000
Training Epoch: 11 [21248/46250]	Loss: 0.3790	LR: 0.020000
Training Epoch: 11 [21504/46250]	Loss: 0.3347	LR: 0.020000
Training Epoch: 11 [21760/46250]	Loss: 0.3396	LR: 0.020000
Training Epoch: 11 [22016/46250]	Loss: 0.3664	LR: 0.020000
Training Epoch: 11 [22272/46250]	Loss: 0.3640	LR: 0.020000
Training Epoch: 11 [22528/46250]	Loss: 0.3747	LR: 0.020000
Training Epoch: 11 [22784/46250]	Loss: 0.2715	LR: 0.020000
Training Epoch: 11 [23040/46250]	Loss: 0.3506	LR: 0.020000
Training Epoch: 11 [23296/46250]	Loss: 0.4032	LR: 0.020000
Training Epoch: 11 [23552/46250]	Loss: 0.3508	LR: 0.020000
Training Epoch: 11 [23808/46250]	Loss: 0.3582	LR: 0.020000
Training Epoch: 11 [24064/46250]	Loss: 0.3927	LR: 0.020000
Training Epoch: 11 [24320/46250]	Loss: 0.3924	LR: 0.020000
Training Epoch: 11 [24576/46250]	Loss: 0.2970	LR: 0.020000
Training Epoch: 11 [24832/46250]	Loss: 0.4258	LR: 0.020000
Training Epoch: 11 [25088/46250]	Loss: 0.3425	LR: 0.020000
Training Epoch: 11 [25344/46250]	Loss: 0.3649	LR: 0.020000
Training Epoch: 11 [25600/46250]	Loss: 0.3139	LR: 0.020000
Training Epoch: 11 [25856/46250]	Loss: 0.4232	LR: 0.020000
Training Epoch: 11 [26112/46250]	Loss: 0.3238	LR: 0.020000
Training Epoch: 11 [26368/46250]	Loss: 0.3556	LR: 0.020000
Training Epoch: 11 [26624/46250]	Loss: 0.4169	LR: 0.020000
Training Epoch: 11 [26880/46250]	Loss: 0.3976	LR: 0.020000
Training Epoch: 11 [27136/46250]	Loss: 0.2971	LR: 0.020000
Training Epoch: 11 [27392/46250]	Loss: 0.3847	LR: 0.020000
Training Epoch: 11 [27648/46250]	Loss: 0.3104	LR: 0.020000
Training Epoch: 11 [27904/46250]	Loss: 0.3094	LR: 0.020000
Training Epoch: 11 [28160/46250]	Loss: 0.4596	LR: 0.020000
Training Epoch: 11 [28416/46250]	Loss: 0.3021	LR: 0.020000
Training Epoch: 11 [28672/46250]	Loss: 0.3691	LR: 0.020000
Training Epoch: 11 [28928/46250]	Loss: 0.3220	LR: 0.020000
Training Epoch: 11 [29184/46250]	Loss: 0.3532	LR: 0.020000
Training Epoch: 11 [29440/46250]	Loss: 0.3626	LR: 0.020000
Training Epoch: 11 [29696/46250]	Loss: 0.3527	LR: 0.020000
Training Epoch: 11 [29952/46250]	Loss: 0.3256	LR: 0.020000
Training Epoch: 11 [30208/46250]	Loss: 0.3387	LR: 0.020000
Training Epoch: 11 [30464/46250]	Loss: 0.3842	LR: 0.020000
Training Epoch: 11 [30720/46250]	Loss: 0.5233	LR: 0.020000
Training Epoch: 11 [30976/46250]	Loss: 0.4214	LR: 0.020000
Training Epoch: 11 [31232/46250]	Loss: 0.4122	LR: 0.020000
Training Epoch: 11 [31488/46250]	Loss: 0.2731	LR: 0.020000
Training Epoch: 11 [31744/46250]	Loss: 0.3697	LR: 0.020000
Training Epoch: 11 [32000/46250]	Loss: 0.3683	LR: 0.020000
Training Epoch: 11 [32256/46250]	Loss: 0.5217	LR: 0.020000
Training Epoch: 11 [32512/46250]	Loss: 0.3932	LR: 0.020000
Training Epoch: 11 [32768/46250]	Loss: 0.3227	LR: 0.020000
Training Epoch: 11 [33024/46250]	Loss: 0.3663	LR: 0.020000
Training Epoch: 11 [33280/46250]	Loss: 0.4060	LR: 0.020000
Training Epoch: 11 [33536/46250]	Loss: 0.4419	LR: 0.020000
Training Epoch: 11 [33792/46250]	Loss: 0.3875	LR: 0.020000
Training Epoch: 11 [34048/46250]	Loss: 0.4360	LR: 0.020000
Training Epoch: 11 [34304/46250]	Loss: 0.3085	LR: 0.020000
Training Epoch: 11 [34560/46250]	Loss: 0.2443	LR: 0.020000
Training Epoch: 11 [34816/46250]	Loss: 0.3652	LR: 0.020000
Training Epoch: 11 [35072/46250]	Loss: 0.4434	LR: 0.020000
Training Epoch: 11 [35328/46250]	Loss: 0.3494	LR: 0.020000
Training Epoch: 11 [35584/46250]	Loss: 0.3137	LR: 0.020000
Training Epoch: 11 [35840/46250]	Loss: 0.3789	LR: 0.020000
Training Epoch: 11 [36096/46250]	Loss: 0.4033	LR: 0.020000
Training Epoch: 11 [36352/46250]	Loss: 0.3770	LR: 0.020000
Training Epoch: 11 [36608/46250]	Loss: 0.3009	LR: 0.020000
Training Epoch: 11 [36864/46250]	Loss: 0.3622	LR: 0.020000
Training Epoch: 11 [37120/46250]	Loss: 0.3394	LR: 0.020000
Training Epoch: 11 [37376/46250]	Loss: 0.3725	LR: 0.020000
Training Epoch: 11 [37632/46250]	Loss: 0.3987	LR: 0.020000
Training Epoch: 11 [37888/46250]	Loss: 0.3318	LR: 0.020000
Training Epoch: 11 [38144/46250]	Loss: 0.3170	LR: 0.020000
Training Epoch: 11 [38400/46250]	Loss: 0.3979	LR: 0.020000
Training Epoch: 11 [38656/46250]	Loss: 0.3726	LR: 0.020000
Training Epoch: 11 [38912/46250]	Loss: 0.4925	LR: 0.020000
Training Epoch: 11 [39168/46250]	Loss: 0.3926	LR: 0.020000
Training Epoch: 11 [39424/46250]	Loss: 0.3115	LR: 0.020000
Training Epoch: 11 [39680/46250]	Loss: 0.3577	LR: 0.020000
Training Epoch: 11 [39936/46250]	Loss: 0.3838	LR: 0.020000
Training Epoch: 11 [40192/46250]	Loss: 0.3208	LR: 0.020000
Training Epoch: 11 [40448/46250]	Loss: 0.3595	LR: 0.020000
Training Epoch: 11 [40704/46250]	Loss: 0.4966	LR: 0.020000
Training Epoch: 11 [40960/46250]	Loss: 0.3505	LR: 0.020000
Training Epoch: 11 [41216/46250]	Loss: 0.3855	LR: 0.020000
Training Epoch: 11 [41472/46250]	Loss: 0.4083	LR: 0.020000
Training Epoch: 11 [41728/46250]	Loss: 0.3478	LR: 0.020000
Training Epoch: 11 [41984/46250]	Loss: 0.4405	LR: 0.020000
Training Epoch: 11 [42240/46250]	Loss: 0.3761	LR: 0.020000
Training Epoch: 11 [42496/46250]	Loss: 0.3111	LR: 0.020000
Training Epoch: 11 [42752/46250]	Loss: 0.4227	LR: 0.020000
Training Epoch: 11 [43008/46250]	Loss: 0.3271	LR: 0.020000
Training Epoch: 11 [43264/46250]	Loss: 0.3851	LR: 0.020000
Training Epoch: 11 [43520/46250]	Loss: 0.3589	LR: 0.020000
Training Epoch: 11 [43776/46250]	Loss: 0.3910	LR: 0.020000
Training Epoch: 11 [44032/46250]	Loss: 0.4286	LR: 0.020000
Training Epoch: 11 [44288/46250]	Loss: 0.3344	LR: 0.020000
Training Epoch: 11 [44544/46250]	Loss: 0.3839	LR: 0.020000
Training Epoch: 11 [44800/46250]	Loss: 0.2772	LR: 0.020000
Training Epoch: 11 [45056/46250]	Loss: 0.3346	LR: 0.020000
Training Epoch: 11 [45312/46250]	Loss: 0.3308	LR: 0.020000
Training Epoch: 11 [45568/46250]	Loss: 0.3940	LR: 0.020000
Training Epoch: 11 [45824/46250]	Loss: 0.4146	LR: 0.020000
Training Epoch: 11 [46080/46250]	Loss: 0.4115	LR: 0.020000
Training Epoch: 11 [46250/46250]	Loss: 0.3785	LR: 0.020000
Epoch 11 - Average Train Loss: 0.3689, Train Accuracy: 0.8704
Epoch 11 training time consumed: 28.19s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0016, Accuracy: 0.8619, Time consumed:0.95s
Training Epoch: 12 [256/46250]	Loss: 0.3583	LR: 0.004000
Training Epoch: 12 [512/46250]	Loss: 0.4633	LR: 0.004000
Training Epoch: 12 [768/46250]	Loss: 0.4180	LR: 0.004000
Training Epoch: 12 [1024/46250]	Loss: 0.3957	LR: 0.004000
Training Epoch: 12 [1280/46250]	Loss: 0.3376	LR: 0.004000
Training Epoch: 12 [1536/46250]	Loss: 0.3480	LR: 0.004000
Training Epoch: 12 [1792/46250]	Loss: 0.4571	LR: 0.004000
Training Epoch: 12 [2048/46250]	Loss: 0.2993	LR: 0.004000
Training Epoch: 12 [2304/46250]	Loss: 0.3276	LR: 0.004000
Training Epoch: 12 [2560/46250]	Loss: 0.2733	LR: 0.004000
Training Epoch: 12 [2816/46250]	Loss: 0.4113	LR: 0.004000
Training Epoch: 12 [3072/46250]	Loss: 0.3982	LR: 0.004000
Training Epoch: 12 [3328/46250]	Loss: 0.3264	LR: 0.004000
Training Epoch: 12 [3584/46250]	Loss: 0.2954	LR: 0.004000
Training Epoch: 12 [3840/46250]	Loss: 0.3620	LR: 0.004000
Training Epoch: 12 [4096/46250]	Loss: 0.3400	LR: 0.004000
Training Epoch: 12 [4352/46250]	Loss: 0.3256	LR: 0.004000
Training Epoch: 12 [4608/46250]	Loss: 0.2905	LR: 0.004000
Training Epoch: 12 [4864/46250]	Loss: 0.3255	LR: 0.004000
Training Epoch: 12 [5120/46250]	Loss: 0.2602	LR: 0.004000
Training Epoch: 12 [5376/46250]	Loss: 0.2773	LR: 0.004000
Training Epoch: 12 [5632/46250]	Loss: 0.2849	LR: 0.004000
Training Epoch: 12 [5888/46250]	Loss: 0.3124	LR: 0.004000
Training Epoch: 12 [6144/46250]	Loss: 0.3680	LR: 0.004000
Training Epoch: 12 [6400/46250]	Loss: 0.3631	LR: 0.004000
Training Epoch: 12 [6656/46250]	Loss: 0.3076	LR: 0.004000
Training Epoch: 12 [6912/46250]	Loss: 0.3541	LR: 0.004000
Training Epoch: 12 [7168/46250]	Loss: 0.3804	LR: 0.004000
Training Epoch: 12 [7424/46250]	Loss: 0.3270	LR: 0.004000
Training Epoch: 12 [7680/46250]	Loss: 0.4674	LR: 0.004000
Training Epoch: 12 [7936/46250]	Loss: 0.3609	LR: 0.004000
Training Epoch: 12 [8192/46250]	Loss: 0.2934	LR: 0.004000
Training Epoch: 12 [8448/46250]	Loss: 0.2855	LR: 0.004000
Training Epoch: 12 [8704/46250]	Loss: 0.3567	LR: 0.004000
Training Epoch: 12 [8960/46250]	Loss: 0.3860	LR: 0.004000
Training Epoch: 12 [9216/46250]	Loss: 0.3216	LR: 0.004000
Training Epoch: 12 [9472/46250]	Loss: 0.2985	LR: 0.004000
Training Epoch: 12 [9728/46250]	Loss: 0.3008	LR: 0.004000
Training Epoch: 12 [9984/46250]	Loss: 0.2977	LR: 0.004000
Training Epoch: 12 [10240/46250]	Loss: 0.2666	LR: 0.004000
Training Epoch: 12 [10496/46250]	Loss: 0.3014	LR: 0.004000
Training Epoch: 12 [10752/46250]	Loss: 0.3999	LR: 0.004000
Training Epoch: 12 [11008/46250]	Loss: 0.2400	LR: 0.004000
Training Epoch: 12 [11264/46250]	Loss: 0.3119	LR: 0.004000
Training Epoch: 12 [11520/46250]	Loss: 0.3270	LR: 0.004000
Training Epoch: 12 [11776/46250]	Loss: 0.2779	LR: 0.004000
Training Epoch: 12 [12032/46250]	Loss: 0.3256	LR: 0.004000
Training Epoch: 12 [12288/46250]	Loss: 0.2794	LR: 0.004000
Training Epoch: 12 [12544/46250]	Loss: 0.2881	LR: 0.004000
Training Epoch: 12 [12800/46250]	Loss: 0.2334	LR: 0.004000
Training Epoch: 12 [13056/46250]	Loss: 0.3941	LR: 0.004000
Training Epoch: 12 [13312/46250]	Loss: 0.3977	LR: 0.004000
Training Epoch: 12 [13568/46250]	Loss: 0.3564	LR: 0.004000
Training Epoch: 12 [13824/46250]	Loss: 0.3397	LR: 0.004000
Training Epoch: 12 [14080/46250]	Loss: 0.3449	LR: 0.004000
Training Epoch: 12 [14336/46250]	Loss: 0.2704	LR: 0.004000
Training Epoch: 12 [14592/46250]	Loss: 0.3463	LR: 0.004000
Training Epoch: 12 [14848/46250]	Loss: 0.2800	LR: 0.004000
Training Epoch: 12 [15104/46250]	Loss: 0.3428	LR: 0.004000
Training Epoch: 12 [15360/46250]	Loss: 0.3773	LR: 0.004000
Training Epoch: 12 [15616/46250]	Loss: 0.3075	LR: 0.004000
Training Epoch: 12 [15872/46250]	Loss: 0.2842	LR: 0.004000
Training Epoch: 12 [16128/46250]	Loss: 0.3870	LR: 0.004000
Training Epoch: 12 [16384/46250]	Loss: 0.2891	LR: 0.004000
Training Epoch: 12 [16640/46250]	Loss: 0.2985	LR: 0.004000
Training Epoch: 12 [16896/46250]	Loss: 0.3334	LR: 0.004000
Training Epoch: 12 [17152/46250]	Loss: 0.3091	LR: 0.004000
Training Epoch: 12 [17408/46250]	Loss: 0.3377	LR: 0.004000
Training Epoch: 12 [17664/46250]	Loss: 0.3986	LR: 0.004000
Training Epoch: 12 [17920/46250]	Loss: 0.3506	LR: 0.004000
Training Epoch: 12 [18176/46250]	Loss: 0.3336	LR: 0.004000
Training Epoch: 12 [18432/46250]	Loss: 0.3364	LR: 0.004000
Training Epoch: 12 [18688/46250]	Loss: 0.3920	LR: 0.004000
Training Epoch: 12 [18944/46250]	Loss: 0.3364	LR: 0.004000
Training Epoch: 12 [19200/46250]	Loss: 0.2675	LR: 0.004000
Training Epoch: 12 [19456/46250]	Loss: 0.2856	LR: 0.004000
Training Epoch: 12 [19712/46250]	Loss: 0.3402	LR: 0.004000
Training Epoch: 12 [19968/46250]	Loss: 0.3368	LR: 0.004000
Training Epoch: 12 [20224/46250]	Loss: 0.2837	LR: 0.004000
Training Epoch: 12 [20480/46250]	Loss: 0.3621	LR: 0.004000
Training Epoch: 12 [20736/46250]	Loss: 0.2803	LR: 0.004000
Training Epoch: 12 [20992/46250]	Loss: 0.3190	LR: 0.004000
Training Epoch: 12 [21248/46250]	Loss: 0.3377	LR: 0.004000
Training Epoch: 12 [21504/46250]	Loss: 0.4145	LR: 0.004000
Training Epoch: 12 [21760/46250]	Loss: 0.3143	LR: 0.004000
Training Epoch: 12 [22016/46250]	Loss: 0.3716	LR: 0.004000
Training Epoch: 12 [22272/46250]	Loss: 0.3049	LR: 0.004000
Training Epoch: 12 [22528/46250]	Loss: 0.4095	LR: 0.004000
Training Epoch: 12 [22784/46250]	Loss: 0.3397	LR: 0.004000
Training Epoch: 12 [23040/46250]	Loss: 0.2939	LR: 0.004000
Training Epoch: 12 [23296/46250]	Loss: 0.2687	LR: 0.004000
Training Epoch: 12 [23552/46250]	Loss: 0.2361	LR: 0.004000
Training Epoch: 12 [23808/46250]	Loss: 0.4126	LR: 0.004000
Training Epoch: 12 [24064/46250]	Loss: 0.2727	LR: 0.004000
Training Epoch: 12 [24320/46250]	Loss: 0.4293	LR: 0.004000
Training Epoch: 12 [24576/46250]	Loss: 0.3590	LR: 0.004000
Training Epoch: 12 [24832/46250]	Loss: 0.2504	LR: 0.004000
Training Epoch: 12 [25088/46250]	Loss: 0.3473	LR: 0.004000
Training Epoch: 12 [25344/46250]	Loss: 0.2797	LR: 0.004000
Training Epoch: 12 [25600/46250]	Loss: 0.2583	LR: 0.004000
Training Epoch: 12 [25856/46250]	Loss: 0.2993	LR: 0.004000
Training Epoch: 12 [26112/46250]	Loss: 0.2508	LR: 0.004000
Training Epoch: 12 [26368/46250]	Loss: 0.3718	LR: 0.004000
Training Epoch: 12 [26624/46250]	Loss: 0.2572	LR: 0.004000
Training Epoch: 12 [26880/46250]	Loss: 0.3377	LR: 0.004000
Training Epoch: 12 [27136/46250]	Loss: 0.3676	LR: 0.004000
Training Epoch: 12 [27392/46250]	Loss: 0.3998	LR: 0.004000
Training Epoch: 12 [27648/46250]	Loss: 0.3170	LR: 0.004000
Training Epoch: 12 [27904/46250]	Loss: 0.3404	LR: 0.004000
Training Epoch: 12 [28160/46250]	Loss: 0.2507	LR: 0.004000
Training Epoch: 12 [28416/46250]	Loss: 0.2663	LR: 0.004000
Training Epoch: 12 [28672/46250]	Loss: 0.2990	LR: 0.004000
Training Epoch: 12 [28928/46250]	Loss: 0.2623	LR: 0.004000
Training Epoch: 12 [29184/46250]	Loss: 0.2920	LR: 0.004000
Training Epoch: 12 [29440/46250]	Loss: 0.3362	LR: 0.004000
Training Epoch: 12 [29696/46250]	Loss: 0.3637	LR: 0.004000
Training Epoch: 12 [29952/46250]	Loss: 0.3540	LR: 0.004000
Training Epoch: 12 [30208/46250]	Loss: 0.3161	LR: 0.004000
Training Epoch: 12 [30464/46250]	Loss: 0.3711	LR: 0.004000
Training Epoch: 12 [30720/46250]	Loss: 0.2380	LR: 0.004000
Training Epoch: 12 [30976/46250]	Loss: 0.3041	LR: 0.004000
Training Epoch: 12 [31232/46250]	Loss: 0.3097	LR: 0.004000
Training Epoch: 12 [31488/46250]	Loss: 0.3215	LR: 0.004000
Training Epoch: 12 [31744/46250]	Loss: 0.3559	LR: 0.004000
Training Epoch: 12 [32000/46250]	Loss: 0.2878	LR: 0.004000
Training Epoch: 12 [32256/46250]	Loss: 0.3099	LR: 0.004000
Training Epoch: 12 [32512/46250]	Loss: 0.3402	LR: 0.004000
Training Epoch: 12 [32768/46250]	Loss: 0.3123	LR: 0.004000
Training Epoch: 12 [33024/46250]	Loss: 0.3162	LR: 0.004000
Training Epoch: 12 [33280/46250]	Loss: 0.2609	LR: 0.004000
Training Epoch: 12 [33536/46250]	Loss: 0.3420	LR: 0.004000
Training Epoch: 12 [33792/46250]	Loss: 0.2780	LR: 0.004000
Training Epoch: 12 [34048/46250]	Loss: 0.2793	LR: 0.004000
Training Epoch: 12 [34304/46250]	Loss: 0.2960	LR: 0.004000
Training Epoch: 12 [34560/46250]	Loss: 0.2887	LR: 0.004000
Training Epoch: 12 [34816/46250]	Loss: 0.3374	LR: 0.004000
Training Epoch: 12 [35072/46250]	Loss: 0.3804	LR: 0.004000
Training Epoch: 12 [35328/46250]	Loss: 0.3512	LR: 0.004000
Training Epoch: 12 [35584/46250]	Loss: 0.3292	LR: 0.004000
Training Epoch: 12 [35840/46250]	Loss: 0.2578	LR: 0.004000
Training Epoch: 12 [36096/46250]	Loss: 0.3459	LR: 0.004000
Training Epoch: 12 [36352/46250]	Loss: 0.2858	LR: 0.004000
Training Epoch: 12 [36608/46250]	Loss: 0.3138	LR: 0.004000
Training Epoch: 12 [36864/46250]	Loss: 0.3565	LR: 0.004000
Training Epoch: 12 [37120/46250]	Loss: 0.2866	LR: 0.004000
Training Epoch: 12 [37376/46250]	Loss: 0.2767	LR: 0.004000
Training Epoch: 12 [37632/46250]	Loss: 0.3624	LR: 0.004000
Training Epoch: 12 [37888/46250]	Loss: 0.2583	LR: 0.004000
Training Epoch: 12 [38144/46250]	Loss: 0.3293	LR: 0.004000
Training Epoch: 12 [38400/46250]	Loss: 0.2845	LR: 0.004000
Training Epoch: 12 [38656/46250]	Loss: 0.3574	LR: 0.004000
Training Epoch: 12 [38912/46250]	Loss: 0.1869	LR: 0.004000
Training Epoch: 12 [39168/46250]	Loss: 0.3183	LR: 0.004000
Training Epoch: 12 [39424/46250]	Loss: 0.4657	LR: 0.004000
Training Epoch: 12 [39680/46250]	Loss: 0.3662	LR: 0.004000
Training Epoch: 12 [39936/46250]	Loss: 0.2798	LR: 0.004000
Training Epoch: 12 [40192/46250]	Loss: 0.3197	LR: 0.004000
Training Epoch: 12 [40448/46250]	Loss: 0.2837	LR: 0.004000
Training Epoch: 12 [40704/46250]	Loss: 0.2516	LR: 0.004000
Training Epoch: 12 [40960/46250]	Loss: 0.3411	LR: 0.004000
Training Epoch: 12 [41216/46250]	Loss: 0.2726	LR: 0.004000
Training Epoch: 12 [41472/46250]	Loss: 0.2937	LR: 0.004000
Training Epoch: 12 [41728/46250]	Loss: 0.2994	LR: 0.004000
Training Epoch: 12 [41984/46250]	Loss: 0.2482	LR: 0.004000
Training Epoch: 12 [42240/46250]	Loss: 0.2939	LR: 0.004000
Training Epoch: 12 [42496/46250]	Loss: 0.2564	LR: 0.004000
Training Epoch: 12 [42752/46250]	Loss: 0.3236	LR: 0.004000
Training Epoch: 12 [43008/46250]	Loss: 0.2623	LR: 0.004000
Training Epoch: 12 [43264/46250]	Loss: 0.2521	LR: 0.004000
Training Epoch: 12 [43520/46250]	Loss: 0.3210	LR: 0.004000
Training Epoch: 12 [43776/46250]	Loss: 0.3674	LR: 0.004000
Training Epoch: 12 [44032/46250]	Loss: 0.3089	LR: 0.004000
Training Epoch: 12 [44288/46250]	Loss: 0.3407	LR: 0.004000
Training Epoch: 12 [44544/46250]	Loss: 0.2873	LR: 0.004000
Training Epoch: 12 [44800/46250]	Loss: 0.2626	LR: 0.004000
Training Epoch: 12 [45056/46250]	Loss: 0.3356	LR: 0.004000
Training Epoch: 12 [45312/46250]	Loss: 0.2999	LR: 0.004000
Training Epoch: 12 [45568/46250]	Loss: 0.2856	LR: 0.004000
Training Epoch: 12 [45824/46250]	Loss: 0.2839	LR: 0.004000
Training Epoch: 12 [46080/46250]	Loss: 0.2863	LR: 0.004000
Training Epoch: 12 [46250/46250]	Loss: 0.4123	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3216, Train Accuracy: 0.8887
Epoch 12 training time consumed: 28.02s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0014, Accuracy: 0.8822, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_09h_04m_17s/ResNet18-Cifar10-seed8-ret25-12-best.pth
Training Epoch: 13 [256/46250]	Loss: 0.3084	LR: 0.004000
Training Epoch: 13 [512/46250]	Loss: 0.3345	LR: 0.004000
Training Epoch: 13 [768/46250]	Loss: 0.2861	LR: 0.004000
Training Epoch: 13 [1024/46250]	Loss: 0.3587	LR: 0.004000
Training Epoch: 13 [1280/46250]	Loss: 0.2881	LR: 0.004000
Training Epoch: 13 [1536/46250]	Loss: 0.2795	LR: 0.004000
Training Epoch: 13 [1792/46250]	Loss: 0.3646	LR: 0.004000
Training Epoch: 13 [2048/46250]	Loss: 0.2689	LR: 0.004000
Training Epoch: 13 [2304/46250]	Loss: 0.3043	LR: 0.004000
Training Epoch: 13 [2560/46250]	Loss: 0.2822	LR: 0.004000
Training Epoch: 13 [2816/46250]	Loss: 0.3738	LR: 0.004000
Training Epoch: 13 [3072/46250]	Loss: 0.3066	LR: 0.004000
Training Epoch: 13 [3328/46250]	Loss: 0.2553	LR: 0.004000
Training Epoch: 13 [3584/46250]	Loss: 0.2893	LR: 0.004000
Training Epoch: 13 [3840/46250]	Loss: 0.2956	LR: 0.004000
Training Epoch: 13 [4096/46250]	Loss: 0.2386	LR: 0.004000
Training Epoch: 13 [4352/46250]	Loss: 0.4440	LR: 0.004000
Training Epoch: 13 [4608/46250]	Loss: 0.2478	LR: 0.004000
Training Epoch: 13 [4864/46250]	Loss: 0.2600	LR: 0.004000
Training Epoch: 13 [5120/46250]	Loss: 0.2427	LR: 0.004000
Training Epoch: 13 [5376/46250]	Loss: 0.3294	LR: 0.004000
Training Epoch: 13 [5632/46250]	Loss: 0.3332	LR: 0.004000
Training Epoch: 13 [5888/46250]	Loss: 0.3672	LR: 0.004000
Training Epoch: 13 [6144/46250]	Loss: 0.3082	LR: 0.004000
Training Epoch: 13 [6400/46250]	Loss: 0.2889	LR: 0.004000
Training Epoch: 13 [6656/46250]	Loss: 0.2911	LR: 0.004000
Training Epoch: 13 [6912/46250]	Loss: 0.3371	LR: 0.004000
Training Epoch: 13 [7168/46250]	Loss: 0.3198	LR: 0.004000
Training Epoch: 13 [7424/46250]	Loss: 0.3140	LR: 0.004000
Training Epoch: 13 [7680/46250]	Loss: 0.3139	LR: 0.004000
Training Epoch: 13 [7936/46250]	Loss: 0.3281	LR: 0.004000
Training Epoch: 13 [8192/46250]	Loss: 0.3458	LR: 0.004000
Training Epoch: 13 [8448/46250]	Loss: 0.2840	LR: 0.004000
Training Epoch: 13 [8704/46250]	Loss: 0.3383	LR: 0.004000
Training Epoch: 13 [8960/46250]	Loss: 0.2598	LR: 0.004000
Training Epoch: 13 [9216/46250]	Loss: 0.2748	LR: 0.004000
Training Epoch: 13 [9472/46250]	Loss: 0.2845	LR: 0.004000
Training Epoch: 13 [9728/46250]	Loss: 0.3563	LR: 0.004000
Training Epoch: 13 [9984/46250]	Loss: 0.2626	LR: 0.004000
Training Epoch: 13 [10240/46250]	Loss: 0.3790	LR: 0.004000
Training Epoch: 13 [10496/46250]	Loss: 0.2305	LR: 0.004000
Training Epoch: 13 [10752/46250]	Loss: 0.3257	LR: 0.004000
Training Epoch: 13 [11008/46250]	Loss: 0.2794	LR: 0.004000
Training Epoch: 13 [11264/46250]	Loss: 0.2773	LR: 0.004000
Training Epoch: 13 [11520/46250]	Loss: 0.3708	LR: 0.004000
Training Epoch: 13 [11776/46250]	Loss: 0.3264	LR: 0.004000
Training Epoch: 13 [12032/46250]	Loss: 0.2560	LR: 0.004000
Training Epoch: 13 [12288/46250]	Loss: 0.2781	LR: 0.004000
Training Epoch: 13 [12544/46250]	Loss: 0.2554	LR: 0.004000
Training Epoch: 13 [12800/46250]	Loss: 0.3541	LR: 0.004000
Training Epoch: 13 [13056/46250]	Loss: 0.2258	LR: 0.004000
Training Epoch: 13 [13312/46250]	Loss: 0.3662	LR: 0.004000
Training Epoch: 13 [13568/46250]	Loss: 0.3867	LR: 0.004000
Training Epoch: 13 [13824/46250]	Loss: 0.3242	LR: 0.004000
Training Epoch: 13 [14080/46250]	Loss: 0.2567	LR: 0.004000
Training Epoch: 13 [14336/46250]	Loss: 0.2346	LR: 0.004000
Training Epoch: 13 [14592/46250]	Loss: 0.3087	LR: 0.004000
Training Epoch: 13 [14848/46250]	Loss: 0.2942	LR: 0.004000
Training Epoch: 13 [15104/46250]	Loss: 0.3765	LR: 0.004000
Training Epoch: 13 [15360/46250]	Loss: 0.3757	LR: 0.004000
Training Epoch: 13 [15616/46250]	Loss: 0.3381	LR: 0.004000
Training Epoch: 13 [15872/46250]	Loss: 0.2621	LR: 0.004000
Training Epoch: 13 [16128/46250]	Loss: 0.3111	LR: 0.004000
Training Epoch: 13 [16384/46250]	Loss: 0.3466	LR: 0.004000
Training Epoch: 13 [16640/46250]	Loss: 0.3886	LR: 0.004000
Training Epoch: 13 [16896/46250]	Loss: 0.2765	LR: 0.004000
Training Epoch: 13 [17152/46250]	Loss: 0.2856	LR: 0.004000
Training Epoch: 13 [17408/46250]	Loss: 0.3726	LR: 0.004000
Training Epoch: 13 [17664/46250]	Loss: 0.3342	LR: 0.004000
Training Epoch: 13 [17920/46250]	Loss: 0.3482	LR: 0.004000
Training Epoch: 13 [18176/46250]	Loss: 0.3482	LR: 0.004000
Training Epoch: 13 [18432/46250]	Loss: 0.3280	LR: 0.004000
Training Epoch: 13 [18688/46250]	Loss: 0.3373	LR: 0.004000
Training Epoch: 13 [18944/46250]	Loss: 0.3240	LR: 0.004000
Training Epoch: 13 [19200/46250]	Loss: 0.3399	LR: 0.004000
Training Epoch: 13 [19456/46250]	Loss: 0.2715	LR: 0.004000
Training Epoch: 13 [19712/46250]	Loss: 0.3790	LR: 0.004000
Training Epoch: 13 [19968/46250]	Loss: 0.2927	LR: 0.004000
Training Epoch: 13 [20224/46250]	Loss: 0.3504	LR: 0.004000
Training Epoch: 13 [20480/46250]	Loss: 0.4195	LR: 0.004000
Training Epoch: 13 [20736/46250]	Loss: 0.2739	LR: 0.004000
Training Epoch: 13 [20992/46250]	Loss: 0.3329	LR: 0.004000
Training Epoch: 13 [21248/46250]	Loss: 0.3087	LR: 0.004000
Training Epoch: 13 [21504/46250]	Loss: 0.2870	LR: 0.004000
Training Epoch: 13 [21760/46250]	Loss: 0.2846	LR: 0.004000
Training Epoch: 13 [22016/46250]	Loss: 0.2768	LR: 0.004000
Training Epoch: 13 [22272/46250]	Loss: 0.2759	LR: 0.004000
Training Epoch: 13 [22528/46250]	Loss: 0.2826	LR: 0.004000
Training Epoch: 13 [22784/46250]	Loss: 0.3233	LR: 0.004000
Training Epoch: 13 [23040/46250]	Loss: 0.2656	LR: 0.004000
Training Epoch: 13 [23296/46250]	Loss: 0.2364	LR: 0.004000
Training Epoch: 13 [23552/46250]	Loss: 0.3307	LR: 0.004000
Training Epoch: 13 [23808/46250]	Loss: 0.2918	LR: 0.004000
Training Epoch: 13 [24064/46250]	Loss: 0.2633	LR: 0.004000
Training Epoch: 13 [24320/46250]	Loss: 0.2223	LR: 0.004000
Training Epoch: 13 [24576/46250]	Loss: 0.2949	LR: 0.004000
Training Epoch: 13 [24832/46250]	Loss: 0.4247	LR: 0.004000
Training Epoch: 13 [25088/46250]	Loss: 0.2774	LR: 0.004000
Training Epoch: 13 [25344/46250]	Loss: 0.2767	LR: 0.004000
Training Epoch: 13 [25600/46250]	Loss: 0.2352	LR: 0.004000
Training Epoch: 13 [25856/46250]	Loss: 0.2874	LR: 0.004000
Training Epoch: 13 [26112/46250]	Loss: 0.3122	LR: 0.004000
Training Epoch: 13 [26368/46250]	Loss: 0.2723	LR: 0.004000
Training Epoch: 13 [26624/46250]	Loss: 0.2736	LR: 0.004000
Training Epoch: 13 [26880/46250]	Loss: 0.4016	LR: 0.004000
Training Epoch: 13 [27136/46250]	Loss: 0.4213	LR: 0.004000
Training Epoch: 13 [27392/46250]	Loss: 0.3110	LR: 0.004000
Training Epoch: 13 [27648/46250]	Loss: 0.2710	LR: 0.004000
Training Epoch: 13 [27904/46250]	Loss: 0.3198	LR: 0.004000
Training Epoch: 13 [28160/46250]	Loss: 0.2828	LR: 0.004000
Training Epoch: 13 [28416/46250]	Loss: 0.3187	LR: 0.004000
Training Epoch: 13 [28672/46250]	Loss: 0.3562	LR: 0.004000
Training Epoch: 13 [28928/46250]	Loss: 0.2166	LR: 0.004000
Training Epoch: 13 [29184/46250]	Loss: 0.3356	LR: 0.004000
Training Epoch: 13 [29440/46250]	Loss: 0.2617	LR: 0.004000
Training Epoch: 13 [29696/46250]	Loss: 0.3041	LR: 0.004000
Training Epoch: 13 [29952/46250]	Loss: 0.3053	LR: 0.004000
Training Epoch: 13 [30208/46250]	Loss: 0.3280	LR: 0.004000
Training Epoch: 13 [30464/46250]	Loss: 0.3235	LR: 0.004000
Training Epoch: 13 [30720/46250]	Loss: 0.3603	LR: 0.004000
Training Epoch: 13 [30976/46250]	Loss: 0.3017	LR: 0.004000
Training Epoch: 13 [31232/46250]	Loss: 0.3522	LR: 0.004000
Training Epoch: 13 [31488/46250]	Loss: 0.3004	LR: 0.004000
Training Epoch: 13 [31744/46250]	Loss: 0.2024	LR: 0.004000
Training Epoch: 13 [32000/46250]	Loss: 0.2957	LR: 0.004000
Training Epoch: 13 [32256/46250]	Loss: 0.3436	LR: 0.004000
Training Epoch: 13 [32512/46250]	Loss: 0.2635	LR: 0.004000
Training Epoch: 13 [32768/46250]	Loss: 0.2636	LR: 0.004000
Training Epoch: 13 [33024/46250]	Loss: 0.3660	LR: 0.004000
Training Epoch: 13 [33280/46250]	Loss: 0.3731	LR: 0.004000
Training Epoch: 13 [33536/46250]	Loss: 0.3460	LR: 0.004000
Training Epoch: 13 [33792/46250]	Loss: 0.4287	LR: 0.004000
Training Epoch: 13 [34048/46250]	Loss: 0.3093	LR: 0.004000
Training Epoch: 13 [34304/46250]	Loss: 0.2722	LR: 0.004000
Training Epoch: 13 [34560/46250]	Loss: 0.3045	LR: 0.004000
Training Epoch: 13 [34816/46250]	Loss: 0.3306	LR: 0.004000
Training Epoch: 13 [35072/46250]	Loss: 0.2903	LR: 0.004000
Training Epoch: 13 [35328/46250]	Loss: 0.2440	LR: 0.004000
Training Epoch: 13 [35584/46250]	Loss: 0.3046	LR: 0.004000
Training Epoch: 13 [35840/46250]	Loss: 0.2770	LR: 0.004000
Training Epoch: 13 [36096/46250]	Loss: 0.2340	LR: 0.004000
Training Epoch: 13 [36352/46250]	Loss: 0.2560	LR: 0.004000
Training Epoch: 13 [36608/46250]	Loss: 0.2388	LR: 0.004000
Training Epoch: 13 [36864/46250]	Loss: 0.3267	LR: 0.004000
Training Epoch: 13 [37120/46250]	Loss: 0.2752	LR: 0.004000
Training Epoch: 13 [37376/46250]	Loss: 0.3633	LR: 0.004000
Training Epoch: 13 [37632/46250]	Loss: 0.2398	LR: 0.004000
Training Epoch: 13 [37888/46250]	Loss: 0.2725	LR: 0.004000
Training Epoch: 13 [38144/46250]	Loss: 0.3395	LR: 0.004000
Training Epoch: 13 [38400/46250]	Loss: 0.3035	LR: 0.004000
Training Epoch: 13 [38656/46250]	Loss: 0.3367	LR: 0.004000
Training Epoch: 13 [38912/46250]	Loss: 0.2980	LR: 0.004000
Training Epoch: 13 [39168/46250]	Loss: 0.2880	LR: 0.004000
Training Epoch: 13 [39424/46250]	Loss: 0.4413	LR: 0.004000
Training Epoch: 13 [39680/46250]	Loss: 0.2402	LR: 0.004000
Training Epoch: 13 [39936/46250]	Loss: 0.3712	LR: 0.004000
Training Epoch: 13 [40192/46250]	Loss: 0.3473	LR: 0.004000
Training Epoch: 13 [40448/46250]	Loss: 0.3181	LR: 0.004000
Training Epoch: 13 [40704/46250]	Loss: 0.3565	LR: 0.004000
Training Epoch: 13 [40960/46250]	Loss: 0.3767	LR: 0.004000
Training Epoch: 13 [41216/46250]	Loss: 0.3403	LR: 0.004000
Training Epoch: 13 [41472/46250]	Loss: 0.3217	LR: 0.004000
Training Epoch: 13 [41728/46250]	Loss: 0.3283	LR: 0.004000
Training Epoch: 13 [41984/46250]	Loss: 0.2859	LR: 0.004000
Training Epoch: 13 [42240/46250]	Loss: 0.2602	LR: 0.004000
Training Epoch: 13 [42496/46250]	Loss: 0.2478	LR: 0.004000
Training Epoch: 13 [42752/46250]	Loss: 0.3057	LR: 0.004000
Training Epoch: 13 [43008/46250]	Loss: 0.3303	LR: 0.004000
Training Epoch: 13 [43264/46250]	Loss: 0.2643	LR: 0.004000
Training Epoch: 13 [43520/46250]	Loss: 0.2682	LR: 0.004000
Training Epoch: 13 [43776/46250]	Loss: 0.3201	LR: 0.004000
Training Epoch: 13 [44032/46250]	Loss: 0.3192	LR: 0.004000
Training Epoch: 13 [44288/46250]	Loss: 0.4092	LR: 0.004000
Training Epoch: 13 [44544/46250]	Loss: 0.3168	LR: 0.004000
Training Epoch: 13 [44800/46250]	Loss: 0.2459	LR: 0.004000
Training Epoch: 13 [45056/46250]	Loss: 0.3506	LR: 0.004000
Training Epoch: 13 [45312/46250]	Loss: 0.2922	LR: 0.004000
Training Epoch: 13 [45568/46250]	Loss: 0.2785	LR: 0.004000
Training Epoch: 13 [45824/46250]	Loss: 0.2563	LR: 0.004000
Training Epoch: 13 [46080/46250]	Loss: 0.2451	LR: 0.004000
Training Epoch: 13 [46250/46250]	Loss: 0.3175	LR: 0.004000
Epoch 13 - Average Train Loss: 0.3084, Train Accuracy: 0.8919
Epoch 13 training time consumed: 28.20s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0014, Accuracy: 0.8852, Time consumed:0.99s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_09h_04m_17s/ResNet18-Cifar10-seed8-ret25-13-best.pth
Training Epoch: 14 [256/46250]	Loss: 0.2871	LR: 0.004000
Training Epoch: 14 [512/46250]	Loss: 0.3058	LR: 0.004000
Training Epoch: 14 [768/46250]	Loss: 0.2962	LR: 0.004000
Training Epoch: 14 [1024/46250]	Loss: 0.2449	LR: 0.004000
Training Epoch: 14 [1280/46250]	Loss: 0.3169	LR: 0.004000
Training Epoch: 14 [1536/46250]	Loss: 0.3032	LR: 0.004000
Training Epoch: 14 [1792/46250]	Loss: 0.3081	LR: 0.004000
Training Epoch: 14 [2048/46250]	Loss: 0.2735	LR: 0.004000
Training Epoch: 14 [2304/46250]	Loss: 0.3610	LR: 0.004000
Training Epoch: 14 [2560/46250]	Loss: 0.2572	LR: 0.004000
Training Epoch: 14 [2816/46250]	Loss: 0.3456	LR: 0.004000
Training Epoch: 14 [3072/46250]	Loss: 0.3664	LR: 0.004000
Training Epoch: 14 [3328/46250]	Loss: 0.2629	LR: 0.004000
Training Epoch: 14 [3584/46250]	Loss: 0.2710	LR: 0.004000
Training Epoch: 14 [3840/46250]	Loss: 0.2824	LR: 0.004000
Training Epoch: 14 [4096/46250]	Loss: 0.3096	LR: 0.004000
Training Epoch: 14 [4352/46250]	Loss: 0.3431	LR: 0.004000
Training Epoch: 14 [4608/46250]	Loss: 0.3061	LR: 0.004000
Training Epoch: 14 [4864/46250]	Loss: 0.2937	LR: 0.004000
Training Epoch: 14 [5120/46250]	Loss: 0.2893	LR: 0.004000
Training Epoch: 14 [5376/46250]	Loss: 0.2812	LR: 0.004000
Training Epoch: 14 [5632/46250]	Loss: 0.2943	LR: 0.004000
Training Epoch: 14 [5888/46250]	Loss: 0.3025	LR: 0.004000
Training Epoch: 14 [6144/46250]	Loss: 0.3080	LR: 0.004000
Training Epoch: 14 [6400/46250]	Loss: 0.2670	LR: 0.004000
Training Epoch: 14 [6656/46250]	Loss: 0.3168	LR: 0.004000
Training Epoch: 14 [6912/46250]	Loss: 0.2889	LR: 0.004000
Training Epoch: 14 [7168/46250]	Loss: 0.3763	LR: 0.004000
Training Epoch: 14 [7424/46250]	Loss: 0.3165	LR: 0.004000
Training Epoch: 14 [7680/46250]	Loss: 0.2545	LR: 0.004000
Training Epoch: 14 [7936/46250]	Loss: 0.3283	LR: 0.004000
Training Epoch: 14 [8192/46250]	Loss: 0.2577	LR: 0.004000
Training Epoch: 14 [8448/46250]	Loss: 0.3010	LR: 0.004000
Training Epoch: 14 [8704/46250]	Loss: 0.2794	LR: 0.004000
Training Epoch: 14 [8960/46250]	Loss: 0.2890	LR: 0.004000
Training Epoch: 14 [9216/46250]	Loss: 0.3688	LR: 0.004000
Training Epoch: 14 [9472/46250]	Loss: 0.3489	LR: 0.004000
Training Epoch: 14 [9728/46250]	Loss: 0.2988	LR: 0.004000
Training Epoch: 14 [9984/46250]	Loss: 0.3302	LR: 0.004000
Training Epoch: 14 [10240/46250]	Loss: 0.3003	LR: 0.004000
Training Epoch: 14 [10496/46250]	Loss: 0.3449	LR: 0.004000
Training Epoch: 14 [10752/46250]	Loss: 0.3834	LR: 0.004000
Training Epoch: 14 [11008/46250]	Loss: 0.2535	LR: 0.004000
Training Epoch: 14 [11264/46250]	Loss: 0.1900	LR: 0.004000
Training Epoch: 14 [11520/46250]	Loss: 0.4354	LR: 0.004000
Training Epoch: 14 [11776/46250]	Loss: 0.2904	LR: 0.004000
Training Epoch: 14 [12032/46250]	Loss: 0.2712	LR: 0.004000
Training Epoch: 14 [12288/46250]	Loss: 0.3615	LR: 0.004000
Training Epoch: 14 [12544/46250]	Loss: 0.3252	LR: 0.004000
Training Epoch: 14 [12800/46250]	Loss: 0.3458	LR: 0.004000
Training Epoch: 14 [13056/46250]	Loss: 0.2275	LR: 0.004000
Training Epoch: 14 [13312/46250]	Loss: 0.2888	LR: 0.004000
Training Epoch: 14 [13568/46250]	Loss: 0.2897	LR: 0.004000
Training Epoch: 14 [13824/46250]	Loss: 0.2802	LR: 0.004000
Training Epoch: 14 [14080/46250]	Loss: 0.3018	LR: 0.004000
Training Epoch: 14 [14336/46250]	Loss: 0.2791	LR: 0.004000
Training Epoch: 14 [14592/46250]	Loss: 0.2429	LR: 0.004000
Training Epoch: 14 [14848/46250]	Loss: 0.3747	LR: 0.004000
Training Epoch: 14 [15104/46250]	Loss: 0.4086	LR: 0.004000
Training Epoch: 14 [15360/46250]	Loss: 0.3121	LR: 0.004000
Training Epoch: 14 [15616/46250]	Loss: 0.3616	LR: 0.004000
Training Epoch: 14 [15872/46250]	Loss: 0.2972	LR: 0.004000
Training Epoch: 14 [16128/46250]	Loss: 0.3213	LR: 0.004000
Training Epoch: 14 [16384/46250]	Loss: 0.3141	LR: 0.004000
Training Epoch: 14 [16640/46250]	Loss: 0.3740	LR: 0.004000
Training Epoch: 14 [16896/46250]	Loss: 0.2997	LR: 0.004000
Training Epoch: 14 [17152/46250]	Loss: 0.3446	LR: 0.004000
Training Epoch: 14 [17408/46250]	Loss: 0.2493	LR: 0.004000
Training Epoch: 14 [17664/46250]	Loss: 0.3459	LR: 0.004000
Training Epoch: 14 [17920/46250]	Loss: 0.2378	LR: 0.004000
Training Epoch: 14 [18176/46250]	Loss: 0.3217	LR: 0.004000
Training Epoch: 14 [18432/46250]	Loss: 0.3153	LR: 0.004000
Training Epoch: 14 [18688/46250]	Loss: 0.3288	LR: 0.004000
Training Epoch: 14 [18944/46250]	Loss: 0.2986	LR: 0.004000
Training Epoch: 14 [19200/46250]	Loss: 0.2857	LR: 0.004000
Training Epoch: 14 [19456/46250]	Loss: 0.3751	LR: 0.004000
Training Epoch: 14 [19712/46250]	Loss: 0.3045	LR: 0.004000
Training Epoch: 14 [19968/46250]	Loss: 0.2787	LR: 0.004000
Training Epoch: 14 [20224/46250]	Loss: 0.2763	LR: 0.004000
Training Epoch: 14 [20480/46250]	Loss: 0.3415	LR: 0.004000
Training Epoch: 14 [20736/46250]	Loss: 0.3015	LR: 0.004000
Training Epoch: 14 [20992/46250]	Loss: 0.3070	LR: 0.004000
Training Epoch: 14 [21248/46250]	Loss: 0.3111	LR: 0.004000
Training Epoch: 14 [21504/46250]	Loss: 0.3261	LR: 0.004000
Training Epoch: 14 [21760/46250]	Loss: 0.3403	LR: 0.004000
Training Epoch: 14 [22016/46250]	Loss: 0.3022	LR: 0.004000
Training Epoch: 14 [22272/46250]	Loss: 0.2943	LR: 0.004000
Training Epoch: 14 [22528/46250]	Loss: 0.3458	LR: 0.004000
Training Epoch: 14 [22784/46250]	Loss: 0.2612	LR: 0.004000
Training Epoch: 14 [23040/46250]	Loss: 0.2937	LR: 0.004000
Training Epoch: 14 [23296/46250]	Loss: 0.2634	LR: 0.004000
Training Epoch: 14 [23552/46250]	Loss: 0.2944	LR: 0.004000
Training Epoch: 14 [23808/46250]	Loss: 0.3712	LR: 0.004000
Training Epoch: 14 [24064/46250]	Loss: 0.3047	LR: 0.004000
Training Epoch: 14 [24320/46250]	Loss: 0.3382	LR: 0.004000
Training Epoch: 14 [24576/46250]	Loss: 0.2588	LR: 0.004000
Training Epoch: 14 [24832/46250]	Loss: 0.2815	LR: 0.004000
Training Epoch: 14 [25088/46250]	Loss: 0.2348	LR: 0.004000
Training Epoch: 14 [25344/46250]	Loss: 0.3804	LR: 0.004000
Training Epoch: 14 [25600/46250]	Loss: 0.2965	LR: 0.004000
Training Epoch: 14 [25856/46250]	Loss: 0.2998	LR: 0.004000
Training Epoch: 14 [26112/46250]	Loss: 0.3509	LR: 0.004000
Training Epoch: 14 [26368/46250]	Loss: 0.2433	LR: 0.004000
Training Epoch: 14 [26624/46250]	Loss: 0.2619	LR: 0.004000
Training Epoch: 14 [26880/46250]	Loss: 0.2921	LR: 0.004000
Training Epoch: 14 [27136/46250]	Loss: 0.2766	LR: 0.004000
Training Epoch: 14 [27392/46250]	Loss: 0.3027	LR: 0.004000
Training Epoch: 14 [27648/46250]	Loss: 0.3081	LR: 0.004000
Training Epoch: 14 [27904/46250]	Loss: 0.2839	LR: 0.004000
Training Epoch: 14 [28160/46250]	Loss: 0.3040	LR: 0.004000
Training Epoch: 14 [28416/46250]	Loss: 0.3004	LR: 0.004000
Training Epoch: 14 [28672/46250]	Loss: 0.2750	LR: 0.004000
Training Epoch: 14 [28928/46250]	Loss: 0.3148	LR: 0.004000
Training Epoch: 14 [29184/46250]	Loss: 0.3129	LR: 0.004000
Training Epoch: 14 [29440/46250]	Loss: 0.3502	LR: 0.004000
Training Epoch: 14 [29696/46250]	Loss: 0.3491	LR: 0.004000
Training Epoch: 14 [29952/46250]	Loss: 0.3438	LR: 0.004000
Training Epoch: 14 [30208/46250]	Loss: 0.3029	LR: 0.004000
Training Epoch: 14 [30464/46250]	Loss: 0.2839	LR: 0.004000
Training Epoch: 14 [30720/46250]	Loss: 0.2829	LR: 0.004000
Training Epoch: 14 [30976/46250]	Loss: 0.2946	LR: 0.004000
Training Epoch: 14 [31232/46250]	Loss: 0.2690	LR: 0.004000
Training Epoch: 14 [31488/46250]	Loss: 0.2578	LR: 0.004000
Training Epoch: 14 [31744/46250]	Loss: 0.3009	LR: 0.004000
Training Epoch: 14 [32000/46250]	Loss: 0.2694	LR: 0.004000
Training Epoch: 14 [32256/46250]	Loss: 0.2301	LR: 0.004000
Training Epoch: 14 [32512/46250]	Loss: 0.3252	LR: 0.004000
Training Epoch: 14 [32768/46250]	Loss: 0.2882	LR: 0.004000
Training Epoch: 14 [33024/46250]	Loss: 0.3371	LR: 0.004000
Training Epoch: 14 [33280/46250]	Loss: 0.3653	LR: 0.004000
Training Epoch: 14 [33536/46250]	Loss: 0.2482	LR: 0.004000
Training Epoch: 14 [33792/46250]	Loss: 0.3292	LR: 0.004000
Training Epoch: 14 [34048/46250]	Loss: 0.3222	LR: 0.004000
Training Epoch: 14 [34304/46250]	Loss: 0.2832	LR: 0.004000
Training Epoch: 14 [34560/46250]	Loss: 0.3245	LR: 0.004000
Training Epoch: 14 [34816/46250]	Loss: 0.2778	LR: 0.004000
Training Epoch: 14 [35072/46250]	Loss: 0.2372	LR: 0.004000
Training Epoch: 14 [35328/46250]	Loss: 0.3778	LR: 0.004000
Training Epoch: 14 [35584/46250]	Loss: 0.2900	LR: 0.004000
Training Epoch: 14 [35840/46250]	Loss: 0.2357	LR: 0.004000
Training Epoch: 14 [36096/46250]	Loss: 0.3857	LR: 0.004000
Training Epoch: 14 [36352/46250]	Loss: 0.2948	LR: 0.004000
Training Epoch: 14 [36608/46250]	Loss: 0.2584	LR: 0.004000
Training Epoch: 14 [36864/46250]	Loss: 0.2516	LR: 0.004000
Training Epoch: 14 [37120/46250]	Loss: 0.2941	LR: 0.004000
Training Epoch: 14 [37376/46250]	Loss: 0.2415	LR: 0.004000
Training Epoch: 14 [37632/46250]	Loss: 0.3212	LR: 0.004000
Training Epoch: 14 [37888/46250]	Loss: 0.2965	LR: 0.004000
Training Epoch: 14 [38144/46250]	Loss: 0.3320	LR: 0.004000
Training Epoch: 14 [38400/46250]	Loss: 0.2618	LR: 0.004000
Training Epoch: 14 [38656/46250]	Loss: 0.3422	LR: 0.004000
Training Epoch: 14 [38912/46250]	Loss: 0.2321	LR: 0.004000
Training Epoch: 14 [39168/46250]	Loss: 0.3026	LR: 0.004000
Training Epoch: 14 [39424/46250]	Loss: 0.2915	LR: 0.004000
Training Epoch: 14 [39680/46250]	Loss: 0.2500	LR: 0.004000
Training Epoch: 14 [39936/46250]	Loss: 0.3103	LR: 0.004000
Training Epoch: 14 [40192/46250]	Loss: 0.2886	LR: 0.004000
Training Epoch: 14 [40448/46250]	Loss: 0.3358	LR: 0.004000
Training Epoch: 14 [40704/46250]	Loss: 0.3550	LR: 0.004000
Training Epoch: 14 [40960/46250]	Loss: 0.3491	LR: 0.004000
Training Epoch: 14 [41216/46250]	Loss: 0.2405	LR: 0.004000
Training Epoch: 14 [41472/46250]	Loss: 0.2558	LR: 0.004000
Training Epoch: 14 [41728/46250]	Loss: 0.3216	LR: 0.004000
Training Epoch: 14 [41984/46250]	Loss: 0.2749	LR: 0.004000
Training Epoch: 14 [42240/46250]	Loss: 0.3103	LR: 0.004000
Training Epoch: 14 [42496/46250]	Loss: 0.2539	LR: 0.004000
Training Epoch: 14 [42752/46250]	Loss: 0.2716	LR: 0.004000
Training Epoch: 14 [43008/46250]	Loss: 0.3086	LR: 0.004000
Training Epoch: 14 [43264/46250]	Loss: 0.2677	LR: 0.004000
Training Epoch: 14 [43520/46250]	Loss: 0.3460	LR: 0.004000
Training Epoch: 14 [43776/46250]	Loss: 0.2970	LR: 0.004000
Training Epoch: 14 [44032/46250]	Loss: 0.2979	LR: 0.004000
Training Epoch: 14 [44288/46250]	Loss: 0.2663	LR: 0.004000
Training Epoch: 14 [44544/46250]	Loss: 0.2884	LR: 0.004000
Training Epoch: 14 [44800/46250]	Loss: 0.2967	LR: 0.004000
Training Epoch: 14 [45056/46250]	Loss: 0.3197	LR: 0.004000
Training Epoch: 14 [45312/46250]	Loss: 0.2710	LR: 0.004000
Training Epoch: 14 [45568/46250]	Loss: 0.3040	LR: 0.004000
Training Epoch: 14 [45824/46250]	Loss: 0.3136	LR: 0.004000
Training Epoch: 14 [46080/46250]	Loss: 0.2194	LR: 0.004000
Training Epoch: 14 [46250/46250]	Loss: 0.3966	LR: 0.004000
Epoch 14 - Average Train Loss: 0.3022, Train Accuracy: 0.8931
Epoch 14 training time consumed: 28.41s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0014, Accuracy: 0.8880, Time consumed:0.98s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_09h_04m_17s/ResNet18-Cifar10-seed8-ret25-14-best.pth
Training Epoch: 15 [256/46250]	Loss: 0.2414	LR: 0.004000
Training Epoch: 15 [512/46250]	Loss: 0.2849	LR: 0.004000
Training Epoch: 15 [768/46250]	Loss: 0.3746	LR: 0.004000
Training Epoch: 15 [1024/46250]	Loss: 0.2895	LR: 0.004000
Training Epoch: 15 [1280/46250]	Loss: 0.3059	LR: 0.004000
Training Epoch: 15 [1536/46250]	Loss: 0.2755	LR: 0.004000
Training Epoch: 15 [1792/46250]	Loss: 0.2622	LR: 0.004000
Training Epoch: 15 [2048/46250]	Loss: 0.1934	LR: 0.004000
Training Epoch: 15 [2304/46250]	Loss: 0.2495	LR: 0.004000
Training Epoch: 15 [2560/46250]	Loss: 0.2718	LR: 0.004000
Training Epoch: 15 [2816/46250]	Loss: 0.2816	LR: 0.004000
Training Epoch: 15 [3072/46250]	Loss: 0.3269	LR: 0.004000
Training Epoch: 15 [3328/46250]	Loss: 0.3619	LR: 0.004000
Training Epoch: 15 [3584/46250]	Loss: 0.3015	LR: 0.004000
Training Epoch: 15 [3840/46250]	Loss: 0.2658	LR: 0.004000
Training Epoch: 15 [4096/46250]	Loss: 0.2530	LR: 0.004000
Training Epoch: 15 [4352/46250]	Loss: 0.2458	LR: 0.004000
Training Epoch: 15 [4608/46250]	Loss: 0.3339	LR: 0.004000
Training Epoch: 15 [4864/46250]	Loss: 0.2409	LR: 0.004000
Training Epoch: 15 [5120/46250]	Loss: 0.3335	LR: 0.004000
Training Epoch: 15 [5376/46250]	Loss: 0.3027	LR: 0.004000
Training Epoch: 15 [5632/46250]	Loss: 0.2633	LR: 0.004000
Training Epoch: 15 [5888/46250]	Loss: 0.3113	LR: 0.004000
Training Epoch: 15 [6144/46250]	Loss: 0.3376	LR: 0.004000
Training Epoch: 15 [6400/46250]	Loss: 0.3166	LR: 0.004000
Training Epoch: 15 [6656/46250]	Loss: 0.2987	LR: 0.004000
Training Epoch: 15 [6912/46250]	Loss: 0.2527	LR: 0.004000
Training Epoch: 15 [7168/46250]	Loss: 0.3260	LR: 0.004000
Training Epoch: 15 [7424/46250]	Loss: 0.2046	LR: 0.004000
Training Epoch: 15 [7680/46250]	Loss: 0.2313	LR: 0.004000
Training Epoch: 15 [7936/46250]	Loss: 0.3045	LR: 0.004000
Training Epoch: 15 [8192/46250]	Loss: 0.1745	LR: 0.004000
Training Epoch: 15 [8448/46250]	Loss: 0.2544	LR: 0.004000
Training Epoch: 15 [8704/46250]	Loss: 0.2949	LR: 0.004000
Training Epoch: 15 [8960/46250]	Loss: 0.2381	LR: 0.004000
Training Epoch: 15 [9216/46250]	Loss: 0.3001	LR: 0.004000
Training Epoch: 15 [9472/46250]	Loss: 0.3357	LR: 0.004000
Training Epoch: 15 [9728/46250]	Loss: 0.3111	LR: 0.004000
Training Epoch: 15 [9984/46250]	Loss: 0.3405	LR: 0.004000
Training Epoch: 15 [10240/46250]	Loss: 0.3474	LR: 0.004000
Training Epoch: 15 [10496/46250]	Loss: 0.2188	LR: 0.004000
Training Epoch: 15 [10752/46250]	Loss: 0.2242	LR: 0.004000
Training Epoch: 15 [11008/46250]	Loss: 0.2912	LR: 0.004000
Training Epoch: 15 [11264/46250]	Loss: 0.2683	LR: 0.004000
Training Epoch: 15 [11520/46250]	Loss: 0.3211	LR: 0.004000
Training Epoch: 15 [11776/46250]	Loss: 0.2625	LR: 0.004000
Training Epoch: 15 [12032/46250]	Loss: 0.2963	LR: 0.004000
Training Epoch: 15 [12288/46250]	Loss: 0.3238	LR: 0.004000
Training Epoch: 15 [12544/46250]	Loss: 0.3130	LR: 0.004000
Training Epoch: 15 [12800/46250]	Loss: 0.3083	LR: 0.004000
Training Epoch: 15 [13056/46250]	Loss: 0.3091	LR: 0.004000
Training Epoch: 15 [13312/46250]	Loss: 0.3320	LR: 0.004000
Training Epoch: 15 [13568/46250]	Loss: 0.2940	LR: 0.004000
Training Epoch: 15 [13824/46250]	Loss: 0.2781	LR: 0.004000
Training Epoch: 15 [14080/46250]	Loss: 0.3454	LR: 0.004000
Training Epoch: 15 [14336/46250]	Loss: 0.2644	LR: 0.004000
Training Epoch: 15 [14592/46250]	Loss: 0.2844	LR: 0.004000
Training Epoch: 15 [14848/46250]	Loss: 0.3629	LR: 0.004000
Training Epoch: 15 [15104/46250]	Loss: 0.3330	LR: 0.004000
Training Epoch: 15 [15360/46250]	Loss: 0.2795	LR: 0.004000
Training Epoch: 15 [15616/46250]	Loss: 0.2820	LR: 0.004000
Training Epoch: 15 [15872/46250]	Loss: 0.3420	LR: 0.004000
Training Epoch: 15 [16128/46250]	Loss: 0.3049	LR: 0.004000
Training Epoch: 15 [16384/46250]	Loss: 0.2418	LR: 0.004000
Training Epoch: 15 [16640/46250]	Loss: 0.2920	LR: 0.004000
Training Epoch: 15 [16896/46250]	Loss: 0.3016	LR: 0.004000
Training Epoch: 15 [17152/46250]	Loss: 0.3005	LR: 0.004000
Training Epoch: 15 [17408/46250]	Loss: 0.2713	LR: 0.004000
Training Epoch: 15 [17664/46250]	Loss: 0.2855	LR: 0.004000
Training Epoch: 15 [17920/46250]	Loss: 0.2713	LR: 0.004000
Training Epoch: 15 [18176/46250]	Loss: 0.2772	LR: 0.004000
Training Epoch: 15 [18432/46250]	Loss: 0.2570	LR: 0.004000
Training Epoch: 15 [18688/46250]	Loss: 0.2942	LR: 0.004000
Training Epoch: 15 [18944/46250]	Loss: 0.3577	LR: 0.004000
Training Epoch: 15 [19200/46250]	Loss: 0.2881	LR: 0.004000
Training Epoch: 15 [19456/46250]	Loss: 0.3042	LR: 0.004000
Training Epoch: 15 [19712/46250]	Loss: 0.3022	LR: 0.004000
Training Epoch: 15 [19968/46250]	Loss: 0.2351	LR: 0.004000
Training Epoch: 15 [20224/46250]	Loss: 0.3102	LR: 0.004000
Training Epoch: 15 [20480/46250]	Loss: 0.2643	LR: 0.004000
Training Epoch: 15 [20736/46250]	Loss: 0.3554	LR: 0.004000
Training Epoch: 15 [20992/46250]	Loss: 0.2822	LR: 0.004000
Training Epoch: 15 [21248/46250]	Loss: 0.2856	LR: 0.004000
Training Epoch: 15 [21504/46250]	Loss: 0.3605	LR: 0.004000
Training Epoch: 15 [21760/46250]	Loss: 0.2701	LR: 0.004000
Training Epoch: 15 [22016/46250]	Loss: 0.2729	LR: 0.004000
Training Epoch: 15 [22272/46250]	Loss: 0.3091	LR: 0.004000
Training Epoch: 15 [22528/46250]	Loss: 0.2772	LR: 0.004000
Training Epoch: 15 [22784/46250]	Loss: 0.2413	LR: 0.004000
Training Epoch: 15 [23040/46250]	Loss: 0.2896	LR: 0.004000
Training Epoch: 15 [23296/46250]	Loss: 0.3178	LR: 0.004000
Training Epoch: 15 [23552/46250]	Loss: 0.3632	LR: 0.004000
Training Epoch: 15 [23808/46250]	Loss: 0.2526	LR: 0.004000
Training Epoch: 15 [24064/46250]	Loss: 0.3162	LR: 0.004000
Training Epoch: 15 [24320/46250]	Loss: 0.2672	LR: 0.004000
Training Epoch: 15 [24576/46250]	Loss: 0.3238	LR: 0.004000
Training Epoch: 15 [24832/46250]	Loss: 0.2782	LR: 0.004000
Training Epoch: 15 [25088/46250]	Loss: 0.2625	LR: 0.004000
Training Epoch: 15 [25344/46250]	Loss: 0.2363	LR: 0.004000
Training Epoch: 15 [25600/46250]	Loss: 0.2820	LR: 0.004000
Training Epoch: 15 [25856/46250]	Loss: 0.2948	LR: 0.004000
Training Epoch: 15 [26112/46250]	Loss: 0.3470	LR: 0.004000
Training Epoch: 15 [26368/46250]	Loss: 0.3361	LR: 0.004000
Training Epoch: 15 [26624/46250]	Loss: 0.3249	LR: 0.004000
Training Epoch: 15 [26880/46250]	Loss: 0.3137	LR: 0.004000
Training Epoch: 15 [27136/46250]	Loss: 0.3116	LR: 0.004000
Training Epoch: 15 [27392/46250]	Loss: 0.3092	LR: 0.004000
Training Epoch: 15 [27648/46250]	Loss: 0.2627	LR: 0.004000
Training Epoch: 15 [27904/46250]	Loss: 0.3423	LR: 0.004000
Training Epoch: 15 [28160/46250]	Loss: 0.3532	LR: 0.004000
Training Epoch: 15 [28416/46250]	Loss: 0.2309	LR: 0.004000
Training Epoch: 15 [28672/46250]	Loss: 0.2822	LR: 0.004000
Training Epoch: 15 [28928/46250]	Loss: 0.3423	LR: 0.004000
Training Epoch: 15 [29184/46250]	Loss: 0.3403	LR: 0.004000
Training Epoch: 15 [29440/46250]	Loss: 0.3454	LR: 0.004000
Training Epoch: 15 [29696/46250]	Loss: 0.2780	LR: 0.004000
Training Epoch: 15 [29952/46250]	Loss: 0.2782	LR: 0.004000
Training Epoch: 15 [30208/46250]	Loss: 0.2666	LR: 0.004000
Training Epoch: 15 [30464/46250]	Loss: 0.2193	LR: 0.004000
Training Epoch: 15 [30720/46250]	Loss: 0.3129	LR: 0.004000
Training Epoch: 15 [30976/46250]	Loss: 0.2536	LR: 0.004000
Training Epoch: 15 [31232/46250]	Loss: 0.2634	LR: 0.004000
Training Epoch: 15 [31488/46250]	Loss: 0.2987	LR: 0.004000
Training Epoch: 15 [31744/46250]	Loss: 0.2637	LR: 0.004000
Training Epoch: 15 [32000/46250]	Loss: 0.3184	LR: 0.004000
Training Epoch: 15 [32256/46250]	Loss: 0.2473	LR: 0.004000
Training Epoch: 15 [32512/46250]	Loss: 0.2294	LR: 0.004000
Training Epoch: 15 [32768/46250]	Loss: 0.2925	LR: 0.004000
Training Epoch: 15 [33024/46250]	Loss: 0.2410	LR: 0.004000
Training Epoch: 15 [33280/46250]	Loss: 0.3212	LR: 0.004000
Training Epoch: 15 [33536/46250]	Loss: 0.2862	LR: 0.004000
Training Epoch: 15 [33792/46250]	Loss: 0.3017	LR: 0.004000
Training Epoch: 15 [34048/46250]	Loss: 0.2179	LR: 0.004000
Training Epoch: 15 [34304/46250]	Loss: 0.3041	LR: 0.004000
Training Epoch: 15 [34560/46250]	Loss: 0.3423	LR: 0.004000
Training Epoch: 15 [34816/46250]	Loss: 0.2675	LR: 0.004000
Training Epoch: 15 [35072/46250]	Loss: 0.3482	LR: 0.004000
Training Epoch: 15 [35328/46250]	Loss: 0.3349	LR: 0.004000
Training Epoch: 15 [35584/46250]	Loss: 0.2499	LR: 0.004000
Training Epoch: 15 [35840/46250]	Loss: 0.3322	LR: 0.004000
Training Epoch: 15 [36096/46250]	Loss: 0.3991	LR: 0.004000
Training Epoch: 15 [36352/46250]	Loss: 0.2553	LR: 0.004000
Training Epoch: 15 [36608/46250]	Loss: 0.3724	LR: 0.004000
Training Epoch: 15 [36864/46250]	Loss: 0.3812	LR: 0.004000
Training Epoch: 15 [37120/46250]	Loss: 0.3325	LR: 0.004000
Training Epoch: 15 [37376/46250]	Loss: 0.3304	LR: 0.004000
Training Epoch: 15 [37632/46250]	Loss: 0.3337	LR: 0.004000
Training Epoch: 15 [37888/46250]	Loss: 0.3451	LR: 0.004000
Training Epoch: 15 [38144/46250]	Loss: 0.2522	LR: 0.004000
Training Epoch: 15 [38400/46250]	Loss: 0.2983	LR: 0.004000
Training Epoch: 15 [38656/46250]	Loss: 0.2752	LR: 0.004000
Training Epoch: 15 [38912/46250]	Loss: 0.2705	LR: 0.004000
Training Epoch: 15 [39168/46250]	Loss: 0.3225	LR: 0.004000
Training Epoch: 15 [39424/46250]	Loss: 0.2607	LR: 0.004000
Training Epoch: 15 [39680/46250]	Loss: 0.3240	LR: 0.004000
Training Epoch: 15 [39936/46250]	Loss: 0.3269	LR: 0.004000
Training Epoch: 15 [40192/46250]	Loss: 0.2767	LR: 0.004000
Training Epoch: 15 [40448/46250]	Loss: 0.3293	LR: 0.004000
Training Epoch: 15 [40704/46250]	Loss: 0.2718	LR: 0.004000
Training Epoch: 15 [40960/46250]	Loss: 0.3374	LR: 0.004000
Training Epoch: 15 [41216/46250]	Loss: 0.3256	LR: 0.004000
Training Epoch: 15 [41472/46250]	Loss: 0.3147	LR: 0.004000
Training Epoch: 15 [41728/46250]	Loss: 0.3548	LR: 0.004000
Training Epoch: 15 [41984/46250]	Loss: 0.2063	LR: 0.004000
Training Epoch: 15 [42240/46250]	Loss: 0.2827	LR: 0.004000
Training Epoch: 15 [42496/46250]	Loss: 0.2882	LR: 0.004000
Training Epoch: 15 [42752/46250]	Loss: 0.2621	LR: 0.004000
Training Epoch: 15 [43008/46250]	Loss: 0.2756	LR: 0.004000
Training Epoch: 15 [43264/46250]	Loss: 0.3163	LR: 0.004000
Training Epoch: 15 [43520/46250]	Loss: 0.2611	LR: 0.004000
Training Epoch: 15 [43776/46250]	Loss: 0.3518	LR: 0.004000
Training Epoch: 15 [44032/46250]	Loss: 0.2845	LR: 0.004000
Training Epoch: 15 [44288/46250]	Loss: 0.2762	LR: 0.004000
Training Epoch: 15 [44544/46250]	Loss: 0.2983	LR: 0.004000
Training Epoch: 15 [44800/46250]	Loss: 0.2865	LR: 0.004000
Training Epoch: 15 [45056/46250]	Loss: 0.2460	LR: 0.004000
Training Epoch: 15 [45312/46250]	Loss: 0.2878	LR: 0.004000
Training Epoch: 15 [45568/46250]	Loss: 0.3167	LR: 0.004000
Training Epoch: 15 [45824/46250]	Loss: 0.3033	LR: 0.004000
Training Epoch: 15 [46080/46250]	Loss: 0.3059	LR: 0.004000
Training Epoch: 15 [46250/46250]	Loss: 0.2109	LR: 0.004000
Epoch 15 - Average Train Loss: 0.2937, Train Accuracy: 0.8970
Epoch 15 training time consumed: 28.11s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0014, Accuracy: 0.8866, Time consumed:0.96s
Training Epoch: 16 [256/46250]	Loss: 0.2893	LR: 0.000800
Training Epoch: 16 [512/46250]	Loss: 0.2858	LR: 0.000800
Training Epoch: 16 [768/46250]	Loss: 0.3262	LR: 0.000800
Training Epoch: 16 [1024/46250]	Loss: 0.3380	LR: 0.000800
Training Epoch: 16 [1280/46250]	Loss: 0.2220	LR: 0.000800
Training Epoch: 16 [1536/46250]	Loss: 0.2718	LR: 0.000800
Training Epoch: 16 [1792/46250]	Loss: 0.2931	LR: 0.000800
Training Epoch: 16 [2048/46250]	Loss: 0.2964	LR: 0.000800
Training Epoch: 16 [2304/46250]	Loss: 0.2517	LR: 0.000800
Training Epoch: 16 [2560/46250]	Loss: 0.3335	LR: 0.000800
Training Epoch: 16 [2816/46250]	Loss: 0.3259	LR: 0.000800
Training Epoch: 16 [3072/46250]	Loss: 0.2195	LR: 0.000800
Training Epoch: 16 [3328/46250]	Loss: 0.3065	LR: 0.000800
Training Epoch: 16 [3584/46250]	Loss: 0.3063	LR: 0.000800
Training Epoch: 16 [3840/46250]	Loss: 0.3049	LR: 0.000800
Training Epoch: 16 [4096/46250]	Loss: 0.3109	LR: 0.000800
Training Epoch: 16 [4352/46250]	Loss: 0.2324	LR: 0.000800
Training Epoch: 16 [4608/46250]	Loss: 0.2687	LR: 0.000800
Training Epoch: 16 [4864/46250]	Loss: 0.3573	LR: 0.000800
Training Epoch: 16 [5120/46250]	Loss: 0.3215	LR: 0.000800
Training Epoch: 16 [5376/46250]	Loss: 0.3383	LR: 0.000800
Training Epoch: 16 [5632/46250]	Loss: 0.2736	LR: 0.000800
Training Epoch: 16 [5888/46250]	Loss: 0.2862	LR: 0.000800
Training Epoch: 16 [6144/46250]	Loss: 0.2974	LR: 0.000800
Training Epoch: 16 [6400/46250]	Loss: 0.3410	LR: 0.000800
Training Epoch: 16 [6656/46250]	Loss: 0.2699	LR: 0.000800
Training Epoch: 16 [6912/46250]	Loss: 0.2295	LR: 0.000800
Training Epoch: 16 [7168/46250]	Loss: 0.3566	LR: 0.000800
Training Epoch: 16 [7424/46250]	Loss: 0.3165	LR: 0.000800
Training Epoch: 16 [7680/46250]	Loss: 0.3141	LR: 0.000800
Training Epoch: 16 [7936/46250]	Loss: 0.2272	LR: 0.000800
Training Epoch: 16 [8192/46250]	Loss: 0.2474	LR: 0.000800
Training Epoch: 16 [8448/46250]	Loss: 0.3505	LR: 0.000800
Training Epoch: 16 [8704/46250]	Loss: 0.2201	LR: 0.000800
Training Epoch: 16 [8960/46250]	Loss: 0.2853	LR: 0.000800
Training Epoch: 16 [9216/46250]	Loss: 0.2286	LR: 0.000800
Training Epoch: 16 [9472/46250]	Loss: 0.2636	LR: 0.000800
Training Epoch: 16 [9728/46250]	Loss: 0.3182	LR: 0.000800
Training Epoch: 16 [9984/46250]	Loss: 0.2676	LR: 0.000800
Training Epoch: 16 [10240/46250]	Loss: 0.2766	LR: 0.000800
Training Epoch: 16 [10496/46250]	Loss: 0.2631	LR: 0.000800
Training Epoch: 16 [10752/46250]	Loss: 0.3401	LR: 0.000800
Training Epoch: 16 [11008/46250]	Loss: 0.3714	LR: 0.000800
Training Epoch: 16 [11264/46250]	Loss: 0.3034	LR: 0.000800
Training Epoch: 16 [11520/46250]	Loss: 0.2959	LR: 0.000800
Training Epoch: 16 [11776/46250]	Loss: 0.2771	LR: 0.000800
Training Epoch: 16 [12032/46250]	Loss: 0.2522	LR: 0.000800
Training Epoch: 16 [12288/46250]	Loss: 0.2985	LR: 0.000800
Training Epoch: 16 [12544/46250]	Loss: 0.2878	LR: 0.000800
Training Epoch: 16 [12800/46250]	Loss: 0.2838	LR: 0.000800
Training Epoch: 16 [13056/46250]	Loss: 0.2655	LR: 0.000800
Training Epoch: 16 [13312/46250]	Loss: 0.3316	LR: 0.000800
Training Epoch: 16 [13568/46250]	Loss: 0.3135	LR: 0.000800
Training Epoch: 16 [13824/46250]	Loss: 0.2598	LR: 0.000800
Training Epoch: 16 [14080/46250]	Loss: 0.2659	LR: 0.000800
Training Epoch: 16 [14336/46250]	Loss: 0.2727	LR: 0.000800
Training Epoch: 16 [14592/46250]	Loss: 0.2905	LR: 0.000800
Training Epoch: 16 [14848/46250]	Loss: 0.3046	LR: 0.000800
Training Epoch: 16 [15104/46250]	Loss: 0.2893	LR: 0.000800
Training Epoch: 16 [15360/46250]	Loss: 0.2582	LR: 0.000800
Training Epoch: 16 [15616/46250]	Loss: 0.2441	LR: 0.000800
Training Epoch: 16 [15872/46250]	Loss: 0.2629	LR: 0.000800
Training Epoch: 16 [16128/46250]	Loss: 0.2551	LR: 0.000800
Training Epoch: 16 [16384/46250]	Loss: 0.2697	LR: 0.000800
Training Epoch: 16 [16640/46250]	Loss: 0.3248	LR: 0.000800
Training Epoch: 16 [16896/46250]	Loss: 0.4030	LR: 0.000800
Training Epoch: 16 [17152/46250]	Loss: 0.2894	LR: 0.000800
Training Epoch: 16 [17408/46250]	Loss: 0.2361	LR: 0.000800
Training Epoch: 16 [17664/46250]	Loss: 0.2286	LR: 0.000800
Training Epoch: 16 [17920/46250]	Loss: 0.3331	LR: 0.000800
Training Epoch: 16 [18176/46250]	Loss: 0.3836	LR: 0.000800
Training Epoch: 16 [18432/46250]	Loss: 0.2901	LR: 0.000800
Training Epoch: 16 [18688/46250]	Loss: 0.2432	LR: 0.000800
Training Epoch: 16 [18944/46250]	Loss: 0.2276	LR: 0.000800
Training Epoch: 16 [19200/46250]	Loss: 0.2410	LR: 0.000800
Training Epoch: 16 [19456/46250]	Loss: 0.2680	LR: 0.000800
Training Epoch: 16 [19712/46250]	Loss: 0.3111	LR: 0.000800
Training Epoch: 16 [19968/46250]	Loss: 0.3780	LR: 0.000800
Training Epoch: 16 [20224/46250]	Loss: 0.3215	LR: 0.000800
Training Epoch: 16 [20480/46250]	Loss: 0.2858	LR: 0.000800
Training Epoch: 16 [20736/46250]	Loss: 0.2415	LR: 0.000800
Training Epoch: 16 [20992/46250]	Loss: 0.2676	LR: 0.000800
Training Epoch: 16 [21248/46250]	Loss: 0.3017	LR: 0.000800
Training Epoch: 16 [21504/46250]	Loss: 0.3698	LR: 0.000800
Training Epoch: 16 [21760/46250]	Loss: 0.2928	LR: 0.000800
Training Epoch: 16 [22016/46250]	Loss: 0.3069	LR: 0.000800
Training Epoch: 16 [22272/46250]	Loss: 0.2584	LR: 0.000800
Training Epoch: 16 [22528/46250]	Loss: 0.2536	LR: 0.000800
Training Epoch: 16 [22784/46250]	Loss: 0.3449	LR: 0.000800
Training Epoch: 16 [23040/46250]	Loss: 0.2367	LR: 0.000800
Training Epoch: 16 [23296/46250]	Loss: 0.2227	LR: 0.000800
Training Epoch: 16 [23552/46250]	Loss: 0.2099	LR: 0.000800
Training Epoch: 16 [23808/46250]	Loss: 0.3491	LR: 0.000800
Training Epoch: 16 [24064/46250]	Loss: 0.3153	LR: 0.000800
Training Epoch: 16 [24320/46250]	Loss: 0.2971	LR: 0.000800
Training Epoch: 16 [24576/46250]	Loss: 0.2484	LR: 0.000800
Training Epoch: 16 [24832/46250]	Loss: 0.3761	LR: 0.000800
Training Epoch: 16 [25088/46250]	Loss: 0.2685	LR: 0.000800
Training Epoch: 16 [25344/46250]	Loss: 0.2805	LR: 0.000800
Training Epoch: 16 [25600/46250]	Loss: 0.2740	LR: 0.000800
Training Epoch: 16 [25856/46250]	Loss: 0.2897	LR: 0.000800
Training Epoch: 16 [26112/46250]	Loss: 0.2752	LR: 0.000800
Training Epoch: 16 [26368/46250]	Loss: 0.2645	LR: 0.000800
Training Epoch: 16 [26624/46250]	Loss: 0.2067	LR: 0.000800
Training Epoch: 16 [26880/46250]	Loss: 0.2691	LR: 0.000800
Training Epoch: 16 [27136/46250]	Loss: 0.2728	LR: 0.000800
Training Epoch: 16 [27392/46250]	Loss: 0.2300	LR: 0.000800
Training Epoch: 16 [27648/46250]	Loss: 0.3713	LR: 0.000800
Training Epoch: 16 [27904/46250]	Loss: 0.2979	LR: 0.000800
Training Epoch: 16 [28160/46250]	Loss: 0.2992	LR: 0.000800
Training Epoch: 16 [28416/46250]	Loss: 0.2589	LR: 0.000800
Training Epoch: 16 [28672/46250]	Loss: 0.3206	LR: 0.000800
Training Epoch: 16 [28928/46250]	Loss: 0.2405	LR: 0.000800
Training Epoch: 16 [29184/46250]	Loss: 0.3020	LR: 0.000800
Training Epoch: 16 [29440/46250]	Loss: 0.2530	LR: 0.000800
Training Epoch: 16 [29696/46250]	Loss: 0.2760	LR: 0.000800
Training Epoch: 16 [29952/46250]	Loss: 0.3563	LR: 0.000800
Training Epoch: 16 [30208/46250]	Loss: 0.2389	LR: 0.000800
Training Epoch: 16 [30464/46250]	Loss: 0.2551	LR: 0.000800
Training Epoch: 16 [30720/46250]	Loss: 0.2866	LR: 0.000800
Training Epoch: 16 [30976/46250]	Loss: 0.2552	LR: 0.000800
Training Epoch: 16 [31232/46250]	Loss: 0.2296	LR: 0.000800
Training Epoch: 16 [31488/46250]	Loss: 0.2709	LR: 0.000800
Training Epoch: 16 [31744/46250]	Loss: 0.2208	LR: 0.000800
Training Epoch: 16 [32000/46250]	Loss: 0.2246	LR: 0.000800
Training Epoch: 16 [32256/46250]	Loss: 0.3104	LR: 0.000800
Training Epoch: 16 [32512/46250]	Loss: 0.2418	LR: 0.000800
Training Epoch: 16 [32768/46250]	Loss: 0.2588	LR: 0.000800
Training Epoch: 16 [33024/46250]	Loss: 0.3356	LR: 0.000800
Training Epoch: 16 [33280/46250]	Loss: 0.1983	LR: 0.000800
Training Epoch: 16 [33536/46250]	Loss: 0.2684	LR: 0.000800
Training Epoch: 16 [33792/46250]	Loss: 0.3281	LR: 0.000800
Training Epoch: 16 [34048/46250]	Loss: 0.3203	LR: 0.000800
Training Epoch: 16 [34304/46250]	Loss: 0.2883	LR: 0.000800
Training Epoch: 16 [34560/46250]	Loss: 0.2865	LR: 0.000800
Training Epoch: 16 [34816/46250]	Loss: 0.2448	LR: 0.000800
Training Epoch: 16 [35072/46250]	Loss: 0.2761	LR: 0.000800
Training Epoch: 16 [35328/46250]	Loss: 0.2436	LR: 0.000800
Training Epoch: 16 [35584/46250]	Loss: 0.2367	LR: 0.000800
Training Epoch: 16 [35840/46250]	Loss: 0.3782	LR: 0.000800
Training Epoch: 16 [36096/46250]	Loss: 0.1994	LR: 0.000800
Training Epoch: 16 [36352/46250]	Loss: 0.2351	LR: 0.000800
Training Epoch: 16 [36608/46250]	Loss: 0.3351	LR: 0.000800
Training Epoch: 16 [36864/46250]	Loss: 0.2145	LR: 0.000800
Training Epoch: 16 [37120/46250]	Loss: 0.2370	LR: 0.000800
Training Epoch: 16 [37376/46250]	Loss: 0.2506	LR: 0.000800
Training Epoch: 16 [37632/46250]	Loss: 0.4215	LR: 0.000800
Training Epoch: 16 [37888/46250]	Loss: 0.3129	LR: 0.000800
Training Epoch: 16 [38144/46250]	Loss: 0.3192	LR: 0.000800
Training Epoch: 16 [38400/46250]	Loss: 0.3006	LR: 0.000800
Training Epoch: 16 [38656/46250]	Loss: 0.2748	LR: 0.000800
Training Epoch: 16 [38912/46250]	Loss: 0.2594	LR: 0.000800
Training Epoch: 16 [39168/46250]	Loss: 0.3110	LR: 0.000800
Training Epoch: 16 [39424/46250]	Loss: 0.2954	LR: 0.000800
Training Epoch: 16 [39680/46250]	Loss: 0.2728	LR: 0.000800
Training Epoch: 16 [39936/46250]	Loss: 0.2297	LR: 0.000800
Training Epoch: 16 [40192/46250]	Loss: 0.1946	LR: 0.000800
Training Epoch: 16 [40448/46250]	Loss: 0.2903	LR: 0.000800
Training Epoch: 16 [40704/46250]	Loss: 0.2082	LR: 0.000800
Training Epoch: 16 [40960/46250]	Loss: 0.2600	LR: 0.000800
Training Epoch: 16 [41216/46250]	Loss: 0.3378	LR: 0.000800
Training Epoch: 16 [41472/46250]	Loss: 0.3193	LR: 0.000800
Training Epoch: 16 [41728/46250]	Loss: 0.2945	LR: 0.000800
Training Epoch: 16 [41984/46250]	Loss: 0.3270	LR: 0.000800
Training Epoch: 16 [42240/46250]	Loss: 0.2450	LR: 0.000800
Training Epoch: 16 [42496/46250]	Loss: 0.3597	LR: 0.000800
Training Epoch: 16 [42752/46250]	Loss: 0.2322	LR: 0.000800
Training Epoch: 16 [43008/46250]	Loss: 0.2818	LR: 0.000800
Training Epoch: 16 [43264/46250]	Loss: 0.2720	LR: 0.000800
Training Epoch: 16 [43520/46250]	Loss: 0.2771	LR: 0.000800
Training Epoch: 16 [43776/46250]	Loss: 0.3537	LR: 0.000800
Training Epoch: 16 [44032/46250]	Loss: 0.2038	LR: 0.000800
Training Epoch: 16 [44288/46250]	Loss: 0.2653	LR: 0.000800
Training Epoch: 16 [44544/46250]	Loss: 0.2805	LR: 0.000800
Training Epoch: 16 [44800/46250]	Loss: 0.2919	LR: 0.000800
Training Epoch: 16 [45056/46250]	Loss: 0.2965	LR: 0.000800
Training Epoch: 16 [45312/46250]	Loss: 0.2281	LR: 0.000800
Training Epoch: 16 [45568/46250]	Loss: 0.3057	LR: 0.000800
Training Epoch: 16 [45824/46250]	Loss: 0.2813	LR: 0.000800
Training Epoch: 16 [46080/46250]	Loss: 0.3200	LR: 0.000800
Training Epoch: 16 [46250/46250]	Loss: 0.4180	LR: 0.000800
Epoch 16 - Average Train Loss: 0.2843, Train Accuracy: 0.9005
Epoch 16 training time consumed: 28.14s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0013, Accuracy: 0.8889, Time consumed:0.98s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_09h_04m_17s/ResNet18-Cifar10-seed8-ret25-16-best.pth
Training Epoch: 17 [256/46250]	Loss: 0.2905	LR: 0.000800
Training Epoch: 17 [512/46250]	Loss: 0.3067	LR: 0.000800
Training Epoch: 17 [768/46250]	Loss: 0.2063	LR: 0.000800
Training Epoch: 17 [1024/46250]	Loss: 0.3048	LR: 0.000800
Training Epoch: 17 [1280/46250]	Loss: 0.2572	LR: 0.000800
Training Epoch: 17 [1536/46250]	Loss: 0.2534	LR: 0.000800
Training Epoch: 17 [1792/46250]	Loss: 0.2856	LR: 0.000800
Training Epoch: 17 [2048/46250]	Loss: 0.2503	LR: 0.000800
Training Epoch: 17 [2304/46250]	Loss: 0.1885	LR: 0.000800
Training Epoch: 17 [2560/46250]	Loss: 0.2305	LR: 0.000800
Training Epoch: 17 [2816/46250]	Loss: 0.2440	LR: 0.000800
Training Epoch: 17 [3072/46250]	Loss: 0.4024	LR: 0.000800
Training Epoch: 17 [3328/46250]	Loss: 0.2451	LR: 0.000800
Training Epoch: 17 [3584/46250]	Loss: 0.2616	LR: 0.000800
Training Epoch: 17 [3840/46250]	Loss: 0.2789	LR: 0.000800
Training Epoch: 17 [4096/46250]	Loss: 0.2668	LR: 0.000800
Training Epoch: 17 [4352/46250]	Loss: 0.2414	LR: 0.000800
Training Epoch: 17 [4608/46250]	Loss: 0.3167	LR: 0.000800
Training Epoch: 17 [4864/46250]	Loss: 0.2440	LR: 0.000800
Training Epoch: 17 [5120/46250]	Loss: 0.2733	LR: 0.000800
Training Epoch: 17 [5376/46250]	Loss: 0.2712	LR: 0.000800
Training Epoch: 17 [5632/46250]	Loss: 0.3011	LR: 0.000800
Training Epoch: 17 [5888/46250]	Loss: 0.2001	LR: 0.000800
Training Epoch: 17 [6144/46250]	Loss: 0.2829	LR: 0.000800
Training Epoch: 17 [6400/46250]	Loss: 0.3011	LR: 0.000800
Training Epoch: 17 [6656/46250]	Loss: 0.2945	LR: 0.000800
Training Epoch: 17 [6912/46250]	Loss: 0.3136	LR: 0.000800
Training Epoch: 17 [7168/46250]	Loss: 0.2871	LR: 0.000800
Training Epoch: 17 [7424/46250]	Loss: 0.2930	LR: 0.000800
Training Epoch: 17 [7680/46250]	Loss: 0.3555	LR: 0.000800
Training Epoch: 17 [7936/46250]	Loss: 0.3315	LR: 0.000800
Training Epoch: 17 [8192/46250]	Loss: 0.2364	LR: 0.000800
Training Epoch: 17 [8448/46250]	Loss: 0.2094	LR: 0.000800
Training Epoch: 17 [8704/46250]	Loss: 0.2417	LR: 0.000800
Training Epoch: 17 [8960/46250]	Loss: 0.3292	LR: 0.000800
Training Epoch: 17 [9216/46250]	Loss: 0.2354	LR: 0.000800
Training Epoch: 17 [9472/46250]	Loss: 0.2139	LR: 0.000800
Training Epoch: 17 [9728/46250]	Loss: 0.2518	LR: 0.000800
Training Epoch: 17 [9984/46250]	Loss: 0.2792	LR: 0.000800
Training Epoch: 17 [10240/46250]	Loss: 0.2751	LR: 0.000800
Training Epoch: 17 [10496/46250]	Loss: 0.2765	LR: 0.000800
Training Epoch: 17 [10752/46250]	Loss: 0.3181	LR: 0.000800
Training Epoch: 17 [11008/46250]	Loss: 0.2909	LR: 0.000800
Training Epoch: 17 [11264/46250]	Loss: 0.2412	LR: 0.000800
Training Epoch: 17 [11520/46250]	Loss: 0.2863	LR: 0.000800
Training Epoch: 17 [11776/46250]	Loss: 0.2891	LR: 0.000800
Training Epoch: 17 [12032/46250]	Loss: 0.2720	LR: 0.000800
Training Epoch: 17 [12288/46250]	Loss: 0.2219	LR: 0.000800
Training Epoch: 17 [12544/46250]	Loss: 0.3147	LR: 0.000800
Training Epoch: 17 [12800/46250]	Loss: 0.2692	LR: 0.000800
Training Epoch: 17 [13056/46250]	Loss: 0.2723	LR: 0.000800
Training Epoch: 17 [13312/46250]	Loss: 0.3075	LR: 0.000800
Training Epoch: 17 [13568/46250]	Loss: 0.3089	LR: 0.000800
Training Epoch: 17 [13824/46250]	Loss: 0.1690	LR: 0.000800
Training Epoch: 17 [14080/46250]	Loss: 0.1976	LR: 0.000800
Training Epoch: 17 [14336/46250]	Loss: 0.2110	LR: 0.000800
Training Epoch: 17 [14592/46250]	Loss: 0.3332	LR: 0.000800
Training Epoch: 17 [14848/46250]	Loss: 0.2225	LR: 0.000800
Training Epoch: 17 [15104/46250]	Loss: 0.3876	LR: 0.000800
Training Epoch: 17 [15360/46250]	Loss: 0.3383	LR: 0.000800
Training Epoch: 17 [15616/46250]	Loss: 0.3638	LR: 0.000800
Training Epoch: 17 [15872/46250]	Loss: 0.2947	LR: 0.000800
Training Epoch: 17 [16128/46250]	Loss: 0.2476	LR: 0.000800
Training Epoch: 17 [16384/46250]	Loss: 0.2229	LR: 0.000800
Training Epoch: 17 [16640/46250]	Loss: 0.3300	LR: 0.000800
Training Epoch: 17 [16896/46250]	Loss: 0.3227	LR: 0.000800
Training Epoch: 17 [17152/46250]	Loss: 0.3258	LR: 0.000800
Training Epoch: 17 [17408/46250]	Loss: 0.2214	LR: 0.000800
Training Epoch: 17 [17664/46250]	Loss: 0.3214	LR: 0.000800
Training Epoch: 17 [17920/46250]	Loss: 0.3304	LR: 0.000800
Training Epoch: 17 [18176/46250]	Loss: 0.2944	LR: 0.000800
Training Epoch: 17 [18432/46250]	Loss: 0.2948	LR: 0.000800
Training Epoch: 17 [18688/46250]	Loss: 0.2678	LR: 0.000800
Training Epoch: 17 [18944/46250]	Loss: 0.2878	LR: 0.000800
Training Epoch: 17 [19200/46250]	Loss: 0.2608	LR: 0.000800
Training Epoch: 17 [19456/46250]	Loss: 0.2550	LR: 0.000800
Training Epoch: 17 [19712/46250]	Loss: 0.3112	LR: 0.000800
Training Epoch: 17 [19968/46250]	Loss: 0.3803	LR: 0.000800
Training Epoch: 17 [20224/46250]	Loss: 0.2699	LR: 0.000800
Training Epoch: 17 [20480/46250]	Loss: 0.2234	LR: 0.000800
Training Epoch: 17 [20736/46250]	Loss: 0.3412	LR: 0.000800
Training Epoch: 17 [20992/46250]	Loss: 0.2403	LR: 0.000800
Training Epoch: 17 [21248/46250]	Loss: 0.2998	LR: 0.000800
Training Epoch: 17 [21504/46250]	Loss: 0.2525	LR: 0.000800
Training Epoch: 17 [21760/46250]	Loss: 0.2399	LR: 0.000800
Training Epoch: 17 [22016/46250]	Loss: 0.2792	LR: 0.000800
Training Epoch: 17 [22272/46250]	Loss: 0.2477	LR: 0.000800
Training Epoch: 17 [22528/46250]	Loss: 0.2915	LR: 0.000800
Training Epoch: 17 [22784/46250]	Loss: 0.2398	LR: 0.000800
Training Epoch: 17 [23040/46250]	Loss: 0.2258	LR: 0.000800
Training Epoch: 17 [23296/46250]	Loss: 0.2592	LR: 0.000800
Training Epoch: 17 [23552/46250]	Loss: 0.2563	LR: 0.000800
Training Epoch: 17 [23808/46250]	Loss: 0.2513	LR: 0.000800
Training Epoch: 17 [24064/46250]	Loss: 0.2330	LR: 0.000800
Training Epoch: 17 [24320/46250]	Loss: 0.3282	LR: 0.000800
Training Epoch: 17 [24576/46250]	Loss: 0.3093	LR: 0.000800
Training Epoch: 17 [24832/46250]	Loss: 0.2908	LR: 0.000800
Training Epoch: 17 [25088/46250]	Loss: 0.2449	LR: 0.000800
Training Epoch: 17 [25344/46250]	Loss: 0.2448	LR: 0.000800
Training Epoch: 17 [25600/46250]	Loss: 0.2488	LR: 0.000800
Training Epoch: 17 [25856/46250]	Loss: 0.3336	LR: 0.000800
Training Epoch: 17 [26112/46250]	Loss: 0.3032	LR: 0.000800
Training Epoch: 17 [26368/46250]	Loss: 0.2068	LR: 0.000800
Training Epoch: 17 [26624/46250]	Loss: 0.2944	LR: 0.000800
Training Epoch: 17 [26880/46250]	Loss: 0.2482	LR: 0.000800
Training Epoch: 17 [27136/46250]	Loss: 0.2391	LR: 0.000800
Training Epoch: 17 [27392/46250]	Loss: 0.2599	LR: 0.000800
Training Epoch: 17 [27648/46250]	Loss: 0.2977	LR: 0.000800
Training Epoch: 17 [27904/46250]	Loss: 0.2447	LR: 0.000800
Training Epoch: 17 [28160/46250]	Loss: 0.2570	LR: 0.000800
Training Epoch: 17 [28416/46250]	Loss: 0.2708	LR: 0.000800
Training Epoch: 17 [28672/46250]	Loss: 0.2961	LR: 0.000800
Training Epoch: 17 [28928/46250]	Loss: 0.2951	LR: 0.000800
Training Epoch: 17 [29184/46250]	Loss: 0.2383	LR: 0.000800
Training Epoch: 17 [29440/46250]	Loss: 0.2436	LR: 0.000800
Training Epoch: 17 [29696/46250]	Loss: 0.3489	LR: 0.000800
Training Epoch: 17 [29952/46250]	Loss: 0.2784	LR: 0.000800
Training Epoch: 17 [30208/46250]	Loss: 0.2619	LR: 0.000800
Training Epoch: 17 [30464/46250]	Loss: 0.2720	LR: 0.000800
Training Epoch: 17 [30720/46250]	Loss: 0.2848	LR: 0.000800
Training Epoch: 17 [30976/46250]	Loss: 0.2916	LR: 0.000800
Training Epoch: 17 [31232/46250]	Loss: 0.2624	LR: 0.000800
Training Epoch: 17 [31488/46250]	Loss: 0.2158	LR: 0.000800
Training Epoch: 17 [31744/46250]	Loss: 0.2924	LR: 0.000800
Training Epoch: 17 [32000/46250]	Loss: 0.2280	LR: 0.000800
Training Epoch: 17 [32256/46250]	Loss: 0.3266	LR: 0.000800
Training Epoch: 17 [32512/46250]	Loss: 0.2788	LR: 0.000800
Training Epoch: 17 [32768/46250]	Loss: 0.2939	LR: 0.000800
Training Epoch: 17 [33024/46250]	Loss: 0.2883	LR: 0.000800
Training Epoch: 17 [33280/46250]	Loss: 0.2887	LR: 0.000800
Training Epoch: 17 [33536/46250]	Loss: 0.2575	LR: 0.000800
Training Epoch: 17 [33792/46250]	Loss: 0.3485	LR: 0.000800
Training Epoch: 17 [34048/46250]	Loss: 0.3339	LR: 0.000800
Training Epoch: 17 [34304/46250]	Loss: 0.2053	LR: 0.000800
Training Epoch: 17 [34560/46250]	Loss: 0.3067	LR: 0.000800
Training Epoch: 17 [34816/46250]	Loss: 0.2968	LR: 0.000800
Training Epoch: 17 [35072/46250]	Loss: 0.3070	LR: 0.000800
Training Epoch: 17 [35328/46250]	Loss: 0.2469	LR: 0.000800
Training Epoch: 17 [35584/46250]	Loss: 0.2827	LR: 0.000800
Training Epoch: 17 [35840/46250]	Loss: 0.2973	LR: 0.000800
Training Epoch: 17 [36096/46250]	Loss: 0.3261	LR: 0.000800
Training Epoch: 17 [36352/46250]	Loss: 0.2438	LR: 0.000800
Training Epoch: 17 [36608/46250]	Loss: 0.3394	LR: 0.000800
Training Epoch: 17 [36864/46250]	Loss: 0.3257	LR: 0.000800
Training Epoch: 17 [37120/46250]	Loss: 0.2399	LR: 0.000800
Training Epoch: 17 [37376/46250]	Loss: 0.2363	LR: 0.000800
Training Epoch: 17 [37632/46250]	Loss: 0.3008	LR: 0.000800
Training Epoch: 17 [37888/46250]	Loss: 0.3339	LR: 0.000800
Training Epoch: 17 [38144/46250]	Loss: 0.2862	LR: 0.000800
Training Epoch: 17 [38400/46250]	Loss: 0.2842	LR: 0.000800
Training Epoch: 17 [38656/46250]	Loss: 0.2183	LR: 0.000800
Training Epoch: 17 [38912/46250]	Loss: 0.2773	LR: 0.000800
Training Epoch: 17 [39168/46250]	Loss: 0.2672	LR: 0.000800
Training Epoch: 17 [39424/46250]	Loss: 0.3267	LR: 0.000800
Training Epoch: 17 [39680/46250]	Loss: 0.3118	LR: 0.000800
Training Epoch: 17 [39936/46250]	Loss: 0.2275	LR: 0.000800
Training Epoch: 17 [40192/46250]	Loss: 0.3348	LR: 0.000800
Training Epoch: 17 [40448/46250]	Loss: 0.2809	LR: 0.000800
Training Epoch: 17 [40704/46250]	Loss: 0.2548	LR: 0.000800
Training Epoch: 17 [40960/46250]	Loss: 0.2471	LR: 0.000800
Training Epoch: 17 [41216/46250]	Loss: 0.2878	LR: 0.000800
Training Epoch: 17 [41472/46250]	Loss: 0.3160	LR: 0.000800
Training Epoch: 17 [41728/46250]	Loss: 0.3377	LR: 0.000800
Training Epoch: 17 [41984/46250]	Loss: 0.2774	LR: 0.000800
Training Epoch: 17 [42240/46250]	Loss: 0.3019	LR: 0.000800
Training Epoch: 17 [42496/46250]	Loss: 0.2285	LR: 0.000800
Training Epoch: 17 [42752/46250]	Loss: 0.2555	LR: 0.000800
Training Epoch: 17 [43008/46250]	Loss: 0.3112	LR: 0.000800
Training Epoch: 17 [43264/46250]	Loss: 0.2224	LR: 0.000800
Training Epoch: 17 [43520/46250]	Loss: 0.2994	LR: 0.000800
Training Epoch: 17 [43776/46250]	Loss: 0.2364	LR: 0.000800
Training Epoch: 17 [44032/46250]	Loss: 0.2955	LR: 0.000800
Training Epoch: 17 [44288/46250]	Loss: 0.2832	LR: 0.000800
Training Epoch: 17 [44544/46250]	Loss: 0.2759	LR: 0.000800
Training Epoch: 17 [44800/46250]	Loss: 0.2812	LR: 0.000800
Training Epoch: 17 [45056/46250]	Loss: 0.3093	LR: 0.000800
Training Epoch: 17 [45312/46250]	Loss: 0.2565	LR: 0.000800
Training Epoch: 17 [45568/46250]	Loss: 0.3186	LR: 0.000800
Training Epoch: 17 [45824/46250]	Loss: 0.2301	LR: 0.000800
Training Epoch: 17 [46080/46250]	Loss: 0.2448	LR: 0.000800
Training Epoch: 17 [46250/46250]	Loss: 0.2737	LR: 0.000800
Epoch 17 - Average Train Loss: 0.2771, Train Accuracy: 0.9024
Epoch 17 training time consumed: 28.31s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0013, Accuracy: 0.8911, Time consumed:0.99s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_09h_04m_17s/ResNet18-Cifar10-seed8-ret25-17-best.pth
Training Epoch: 18 [256/46250]	Loss: 0.2551	LR: 0.000800
Training Epoch: 18 [512/46250]	Loss: 0.2633	LR: 0.000800
Training Epoch: 18 [768/46250]	Loss: 0.3935	LR: 0.000800
Training Epoch: 18 [1024/46250]	Loss: 0.2435	LR: 0.000800
Training Epoch: 18 [1280/46250]	Loss: 0.2706	LR: 0.000800
Training Epoch: 18 [1536/46250]	Loss: 0.2255	LR: 0.000800
Training Epoch: 18 [1792/46250]	Loss: 0.2660	LR: 0.000800
Training Epoch: 18 [2048/46250]	Loss: 0.2338	LR: 0.000800
Training Epoch: 18 [2304/46250]	Loss: 0.3118	LR: 0.000800
Training Epoch: 18 [2560/46250]	Loss: 0.3309	LR: 0.000800
Training Epoch: 18 [2816/46250]	Loss: 0.2785	LR: 0.000800
Training Epoch: 18 [3072/46250]	Loss: 0.3057	LR: 0.000800
Training Epoch: 18 [3328/46250]	Loss: 0.3202	LR: 0.000800
Training Epoch: 18 [3584/46250]	Loss: 0.3111	LR: 0.000800
Training Epoch: 18 [3840/46250]	Loss: 0.3196	LR: 0.000800
Training Epoch: 18 [4096/46250]	Loss: 0.2117	LR: 0.000800
Training Epoch: 18 [4352/46250]	Loss: 0.2894	LR: 0.000800
Training Epoch: 18 [4608/46250]	Loss: 0.2402	LR: 0.000800
Training Epoch: 18 [4864/46250]	Loss: 0.3355	LR: 0.000800
Training Epoch: 18 [5120/46250]	Loss: 0.2856	LR: 0.000800
Training Epoch: 18 [5376/46250]	Loss: 0.2784	LR: 0.000800
Training Epoch: 18 [5632/46250]	Loss: 0.2644	LR: 0.000800
Training Epoch: 18 [5888/46250]	Loss: 0.2353	LR: 0.000800
Training Epoch: 18 [6144/46250]	Loss: 0.2917	LR: 0.000800
Training Epoch: 18 [6400/46250]	Loss: 0.2807	LR: 0.000800
Training Epoch: 18 [6656/46250]	Loss: 0.2421	LR: 0.000800
Training Epoch: 18 [6912/46250]	Loss: 0.2781	LR: 0.000800
Training Epoch: 18 [7168/46250]	Loss: 0.2097	LR: 0.000800
Training Epoch: 18 [7424/46250]	Loss: 0.2166	LR: 0.000800
Training Epoch: 18 [7680/46250]	Loss: 0.2683	LR: 0.000800
Training Epoch: 18 [7936/46250]	Loss: 0.2231	LR: 0.000800
Training Epoch: 18 [8192/46250]	Loss: 0.2628	LR: 0.000800
Training Epoch: 18 [8448/46250]	Loss: 0.2708	LR: 0.000800
Training Epoch: 18 [8704/46250]	Loss: 0.2020	LR: 0.000800
Training Epoch: 18 [8960/46250]	Loss: 0.2563	LR: 0.000800
Training Epoch: 18 [9216/46250]	Loss: 0.2628	LR: 0.000800
Training Epoch: 18 [9472/46250]	Loss: 0.2771	LR: 0.000800
Training Epoch: 18 [9728/46250]	Loss: 0.1827	LR: 0.000800
Training Epoch: 18 [9984/46250]	Loss: 0.2581	LR: 0.000800
Training Epoch: 18 [10240/46250]	Loss: 0.3432	LR: 0.000800
Training Epoch: 18 [10496/46250]	Loss: 0.3497	LR: 0.000800
Training Epoch: 18 [10752/46250]	Loss: 0.3145	LR: 0.000800
Training Epoch: 18 [11008/46250]	Loss: 0.3239	LR: 0.000800
Training Epoch: 18 [11264/46250]	Loss: 0.2851	LR: 0.000800
Training Epoch: 18 [11520/46250]	Loss: 0.2218	LR: 0.000800
Training Epoch: 18 [11776/46250]	Loss: 0.2831	LR: 0.000800
Training Epoch: 18 [12032/46250]	Loss: 0.2704	LR: 0.000800
Training Epoch: 18 [12288/46250]	Loss: 0.2791	LR: 0.000800
Training Epoch: 18 [12544/46250]	Loss: 0.3160	LR: 0.000800
Training Epoch: 18 [12800/46250]	Loss: 0.2844	LR: 0.000800
Training Epoch: 18 [13056/46250]	Loss: 0.2457	LR: 0.000800
Training Epoch: 18 [13312/46250]	Loss: 0.2421	LR: 0.000800
Training Epoch: 18 [13568/46250]	Loss: 0.2850	LR: 0.000800
Training Epoch: 18 [13824/46250]	Loss: 0.3060	LR: 0.000800
Training Epoch: 18 [14080/46250]	Loss: 0.2235	LR: 0.000800
Training Epoch: 18 [14336/46250]	Loss: 0.3253	LR: 0.000800
Training Epoch: 18 [14592/46250]	Loss: 0.2301	LR: 0.000800
Training Epoch: 18 [14848/46250]	Loss: 0.3125	LR: 0.000800
Training Epoch: 18 [15104/46250]	Loss: 0.2425	LR: 0.000800
Training Epoch: 18 [15360/46250]	Loss: 0.2174	LR: 0.000800
Training Epoch: 18 [15616/46250]	Loss: 0.2804	LR: 0.000800
Training Epoch: 18 [15872/46250]	Loss: 0.3223	LR: 0.000800
Training Epoch: 18 [16128/46250]	Loss: 0.3276	LR: 0.000800
Training Epoch: 18 [16384/46250]	Loss: 0.2669	LR: 0.000800
Training Epoch: 18 [16640/46250]	Loss: 0.3363	LR: 0.000800
Training Epoch: 18 [16896/46250]	Loss: 0.3544	LR: 0.000800
Training Epoch: 18 [17152/46250]	Loss: 0.2723	LR: 0.000800
Training Epoch: 18 [17408/46250]	Loss: 0.2818	LR: 0.000800
Training Epoch: 18 [17664/46250]	Loss: 0.2768	LR: 0.000800
Training Epoch: 18 [17920/46250]	Loss: 0.2294	LR: 0.000800
Training Epoch: 18 [18176/46250]	Loss: 0.2675	LR: 0.000800
Training Epoch: 18 [18432/46250]	Loss: 0.2467	LR: 0.000800
Training Epoch: 18 [18688/46250]	Loss: 0.2573	LR: 0.000800
Training Epoch: 18 [18944/46250]	Loss: 0.2379	LR: 0.000800
Training Epoch: 18 [19200/46250]	Loss: 0.2047	LR: 0.000800
Training Epoch: 18 [19456/46250]	Loss: 0.3040	LR: 0.000800
Training Epoch: 18 [19712/46250]	Loss: 0.2763	LR: 0.000800
Training Epoch: 18 [19968/46250]	Loss: 0.2974	LR: 0.000800
Training Epoch: 18 [20224/46250]	Loss: 0.2522	LR: 0.000800
Training Epoch: 18 [20480/46250]	Loss: 0.2871	LR: 0.000800
Training Epoch: 18 [20736/46250]	Loss: 0.3051	LR: 0.000800
Training Epoch: 18 [20992/46250]	Loss: 0.2695	LR: 0.000800
Training Epoch: 18 [21248/46250]	Loss: 0.3629	LR: 0.000800
Training Epoch: 18 [21504/46250]	Loss: 0.2559	LR: 0.000800
Training Epoch: 18 [21760/46250]	Loss: 0.2811	LR: 0.000800
Training Epoch: 18 [22016/46250]	Loss: 0.1849	LR: 0.000800
Training Epoch: 18 [22272/46250]	Loss: 0.2772	LR: 0.000800
Training Epoch: 18 [22528/46250]	Loss: 0.2879	LR: 0.000800
Training Epoch: 18 [22784/46250]	Loss: 0.3205	LR: 0.000800
Training Epoch: 18 [23040/46250]	Loss: 0.3486	LR: 0.000800
Training Epoch: 18 [23296/46250]	Loss: 0.2555	LR: 0.000800
Training Epoch: 18 [23552/46250]	Loss: 0.2549	LR: 0.000800
Training Epoch: 18 [23808/46250]	Loss: 0.2144	LR: 0.000800
Training Epoch: 18 [24064/46250]	Loss: 0.3501	LR: 0.000800
Training Epoch: 18 [24320/46250]	Loss: 0.2836	LR: 0.000800
Training Epoch: 18 [24576/46250]	Loss: 0.2447	LR: 0.000800
Training Epoch: 18 [24832/46250]	Loss: 0.2662	LR: 0.000800
Training Epoch: 18 [25088/46250]	Loss: 0.2612	LR: 0.000800
Training Epoch: 18 [25344/46250]	Loss: 0.2450	LR: 0.000800
Training Epoch: 18 [25600/46250]	Loss: 0.2577	LR: 0.000800
Training Epoch: 18 [25856/46250]	Loss: 0.2663	LR: 0.000800
Training Epoch: 18 [26112/46250]	Loss: 0.2571	LR: 0.000800
Training Epoch: 18 [26368/46250]	Loss: 0.2606	LR: 0.000800
Training Epoch: 18 [26624/46250]	Loss: 0.3122	LR: 0.000800
Training Epoch: 18 [26880/46250]	Loss: 0.2583	LR: 0.000800
Training Epoch: 18 [27136/46250]	Loss: 0.2741	LR: 0.000800
Training Epoch: 18 [27392/46250]	Loss: 0.3198	LR: 0.000800
Training Epoch: 18 [27648/46250]	Loss: 0.3239	LR: 0.000800
Training Epoch: 18 [27904/46250]	Loss: 0.2449	LR: 0.000800
Training Epoch: 18 [28160/46250]	Loss: 0.2770	LR: 0.000800
Training Epoch: 18 [28416/46250]	Loss: 0.2604	LR: 0.000800
Training Epoch: 18 [28672/46250]	Loss: 0.2693	LR: 0.000800
Training Epoch: 18 [28928/46250]	Loss: 0.2982	LR: 0.000800
Training Epoch: 18 [29184/46250]	Loss: 0.2207	LR: 0.000800
Training Epoch: 18 [29440/46250]	Loss: 0.3386	LR: 0.000800
Training Epoch: 18 [29696/46250]	Loss: 0.2631	LR: 0.000800
Training Epoch: 18 [29952/46250]	Loss: 0.2328	LR: 0.000800
Training Epoch: 18 [30208/46250]	Loss: 0.2731	LR: 0.000800
Training Epoch: 18 [30464/46250]	Loss: 0.2378	LR: 0.000800
Training Epoch: 18 [30720/46250]	Loss: 0.2445	LR: 0.000800
Training Epoch: 18 [30976/46250]	Loss: 0.3189	LR: 0.000800
Training Epoch: 18 [31232/46250]	Loss: 0.3084	LR: 0.000800
Training Epoch: 18 [31488/46250]	Loss: 0.2197	LR: 0.000800
Training Epoch: 18 [31744/46250]	Loss: 0.2647	LR: 0.000800
Training Epoch: 18 [32000/46250]	Loss: 0.2477	LR: 0.000800
Training Epoch: 18 [32256/46250]	Loss: 0.3299	LR: 0.000800
Training Epoch: 18 [32512/46250]	Loss: 0.2744	LR: 0.000800
Training Epoch: 18 [32768/46250]	Loss: 0.3235	LR: 0.000800
Training Epoch: 18 [33024/46250]	Loss: 0.2540	LR: 0.000800
Training Epoch: 18 [33280/46250]	Loss: 0.2043	LR: 0.000800
Training Epoch: 18 [33536/46250]	Loss: 0.2447	LR: 0.000800
Training Epoch: 18 [33792/46250]	Loss: 0.1829	LR: 0.000800
Training Epoch: 18 [34048/46250]	Loss: 0.3002	LR: 0.000800
Training Epoch: 18 [34304/46250]	Loss: 0.1828	LR: 0.000800
Training Epoch: 18 [34560/46250]	Loss: 0.3207	LR: 0.000800
Training Epoch: 18 [34816/46250]	Loss: 0.2672	LR: 0.000800
Training Epoch: 18 [35072/46250]	Loss: 0.3225	LR: 0.000800
Training Epoch: 18 [35328/46250]	Loss: 0.2760	LR: 0.000800
Training Epoch: 18 [35584/46250]	Loss: 0.2802	LR: 0.000800
Training Epoch: 18 [35840/46250]	Loss: 0.2759	LR: 0.000800
Training Epoch: 18 [36096/46250]	Loss: 0.2505	LR: 0.000800
Training Epoch: 18 [36352/46250]	Loss: 0.3472	LR: 0.000800
Training Epoch: 18 [36608/46250]	Loss: 0.2501	LR: 0.000800
Training Epoch: 18 [36864/46250]	Loss: 0.2846	LR: 0.000800
Training Epoch: 18 [37120/46250]	Loss: 0.2543	LR: 0.000800
Training Epoch: 18 [37376/46250]	Loss: 0.2691	LR: 0.000800
Training Epoch: 18 [37632/46250]	Loss: 0.2601	LR: 0.000800
Training Epoch: 18 [37888/46250]	Loss: 0.3401	LR: 0.000800
Training Epoch: 18 [38144/46250]	Loss: 0.2568	LR: 0.000800
Training Epoch: 18 [38400/46250]	Loss: 0.3092	LR: 0.000800
Training Epoch: 18 [38656/46250]	Loss: 0.3210	LR: 0.000800
Training Epoch: 18 [38912/46250]	Loss: 0.3901	LR: 0.000800
Training Epoch: 18 [39168/46250]	Loss: 0.2236	LR: 0.000800
Training Epoch: 18 [39424/46250]	Loss: 0.2708	LR: 0.000800
Training Epoch: 18 [39680/46250]	Loss: 0.2862	LR: 0.000800
Training Epoch: 18 [39936/46250]	Loss: 0.3652	LR: 0.000800
Training Epoch: 18 [40192/46250]	Loss: 0.3694	LR: 0.000800
Training Epoch: 18 [40448/46250]	Loss: 0.3312	LR: 0.000800
Training Epoch: 18 [40704/46250]	Loss: 0.2786	LR: 0.000800
Training Epoch: 18 [40960/46250]	Loss: 0.2831	LR: 0.000800
Training Epoch: 18 [41216/46250]	Loss: 0.2318	LR: 0.000800
Training Epoch: 18 [41472/46250]	Loss: 0.2755	LR: 0.000800
Training Epoch: 18 [41728/46250]	Loss: 0.2394	LR: 0.000800
Training Epoch: 18 [41984/46250]	Loss: 0.2253	LR: 0.000800
Training Epoch: 18 [42240/46250]	Loss: 0.3066	LR: 0.000800
Training Epoch: 18 [42496/46250]	Loss: 0.3068	LR: 0.000800
Training Epoch: 18 [42752/46250]	Loss: 0.2105	LR: 0.000800
Training Epoch: 18 [43008/46250]	Loss: 0.2927	LR: 0.000800
Training Epoch: 18 [43264/46250]	Loss: 0.2851	LR: 0.000800
Training Epoch: 18 [43520/46250]	Loss: 0.2332	LR: 0.000800
Training Epoch: 18 [43776/46250]	Loss: 0.2981	LR: 0.000800
Training Epoch: 18 [44032/46250]	Loss: 0.2514	LR: 0.000800
Training Epoch: 18 [44288/46250]	Loss: 0.2736	LR: 0.000800
Training Epoch: 18 [44544/46250]	Loss: 0.2319	LR: 0.000800
Training Epoch: 18 [44800/46250]	Loss: 0.3663	LR: 0.000800
Training Epoch: 18 [45056/46250]	Loss: 0.2482	LR: 0.000800
Training Epoch: 18 [45312/46250]	Loss: 0.2895	LR: 0.000800
Training Epoch: 18 [45568/46250]	Loss: 0.2432	LR: 0.000800
Training Epoch: 18 [45824/46250]	Loss: 0.2850	LR: 0.000800
Training Epoch: 18 [46080/46250]	Loss: 0.2383	LR: 0.000800
Training Epoch: 18 [46250/46250]	Loss: 0.3564	LR: 0.000800
Epoch 18 - Average Train Loss: 0.2757, Train Accuracy: 0.9040
Epoch 18 training time consumed: 28.50s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0013, Accuracy: 0.8904, Time consumed:0.99s
Training Epoch: 19 [256/46250]	Loss: 0.3741	LR: 0.000800
Training Epoch: 19 [512/46250]	Loss: 0.3298	LR: 0.000800
Training Epoch: 19 [768/46250]	Loss: 0.2301	LR: 0.000800
Training Epoch: 19 [1024/46250]	Loss: 0.2384	LR: 0.000800
Training Epoch: 19 [1280/46250]	Loss: 0.3283	LR: 0.000800
Training Epoch: 19 [1536/46250]	Loss: 0.2203	LR: 0.000800
Training Epoch: 19 [1792/46250]	Loss: 0.2684	LR: 0.000800
Training Epoch: 19 [2048/46250]	Loss: 0.2914	LR: 0.000800
Training Epoch: 19 [2304/46250]	Loss: 0.2262	LR: 0.000800
Training Epoch: 19 [2560/46250]	Loss: 0.3290	LR: 0.000800
Training Epoch: 19 [2816/46250]	Loss: 0.2506	LR: 0.000800
Training Epoch: 19 [3072/46250]	Loss: 0.2921	LR: 0.000800
Training Epoch: 19 [3328/46250]	Loss: 0.2468	LR: 0.000800
Training Epoch: 19 [3584/46250]	Loss: 0.2927	LR: 0.000800
Training Epoch: 19 [3840/46250]	Loss: 0.1910	LR: 0.000800
Training Epoch: 19 [4096/46250]	Loss: 0.3310	LR: 0.000800
Training Epoch: 19 [4352/46250]	Loss: 0.2931	LR: 0.000800
Training Epoch: 19 [4608/46250]	Loss: 0.3717	LR: 0.000800
Training Epoch: 19 [4864/46250]	Loss: 0.3045	LR: 0.000800
Training Epoch: 19 [5120/46250]	Loss: 0.2281	LR: 0.000800
Training Epoch: 19 [5376/46250]	Loss: 0.1951	LR: 0.000800
Training Epoch: 19 [5632/46250]	Loss: 0.2802	LR: 0.000800
Training Epoch: 19 [5888/46250]	Loss: 0.2663	LR: 0.000800
Training Epoch: 19 [6144/46250]	Loss: 0.2447	LR: 0.000800
Training Epoch: 19 [6400/46250]	Loss: 0.2388	LR: 0.000800
Training Epoch: 19 [6656/46250]	Loss: 0.3410	LR: 0.000800
Training Epoch: 19 [6912/46250]	Loss: 0.3282	LR: 0.000800
Training Epoch: 19 [7168/46250]	Loss: 0.2546	LR: 0.000800
Training Epoch: 19 [7424/46250]	Loss: 0.2609	LR: 0.000800
Training Epoch: 19 [7680/46250]	Loss: 0.3511	LR: 0.000800
Training Epoch: 19 [7936/46250]	Loss: 0.2497	LR: 0.000800
Training Epoch: 19 [8192/46250]	Loss: 0.2325	LR: 0.000800
Training Epoch: 19 [8448/46250]	Loss: 0.2398	LR: 0.000800
Training Epoch: 19 [8704/46250]	Loss: 0.2527	LR: 0.000800
Training Epoch: 19 [8960/46250]	Loss: 0.2596	LR: 0.000800
Training Epoch: 19 [9216/46250]	Loss: 0.2694	LR: 0.000800
Training Epoch: 19 [9472/46250]	Loss: 0.2144	LR: 0.000800
Training Epoch: 19 [9728/46250]	Loss: 0.3271	LR: 0.000800
Training Epoch: 19 [9984/46250]	Loss: 0.2393	LR: 0.000800
Training Epoch: 19 [10240/46250]	Loss: 0.2860	LR: 0.000800
Training Epoch: 19 [10496/46250]	Loss: 0.2570	LR: 0.000800
Training Epoch: 19 [10752/46250]	Loss: 0.2350	LR: 0.000800
Training Epoch: 19 [11008/46250]	Loss: 0.3086	LR: 0.000800
Training Epoch: 19 [11264/46250]	Loss: 0.2485	LR: 0.000800
Training Epoch: 19 [11520/46250]	Loss: 0.2705	LR: 0.000800
Training Epoch: 19 [11776/46250]	Loss: 0.2686	LR: 0.000800
Training Epoch: 19 [12032/46250]	Loss: 0.3122	LR: 0.000800
Training Epoch: 19 [12288/46250]	Loss: 0.2868	LR: 0.000800
Training Epoch: 19 [12544/46250]	Loss: 0.2624	LR: 0.000800
Training Epoch: 19 [12800/46250]	Loss: 0.2845	LR: 0.000800
Training Epoch: 19 [13056/46250]	Loss: 0.2467	LR: 0.000800
Training Epoch: 19 [13312/46250]	Loss: 0.3139	LR: 0.000800
Training Epoch: 19 [13568/46250]	Loss: 0.2540	LR: 0.000800
Training Epoch: 19 [13824/46250]	Loss: 0.3118	LR: 0.000800
Training Epoch: 19 [14080/46250]	Loss: 0.2325	LR: 0.000800
Training Epoch: 19 [14336/46250]	Loss: 0.2052	LR: 0.000800
Training Epoch: 19 [14592/46250]	Loss: 0.2963	LR: 0.000800
Training Epoch: 19 [14848/46250]	Loss: 0.3093	LR: 0.000800
Training Epoch: 19 [15104/46250]	Loss: 0.2419	LR: 0.000800
Training Epoch: 19 [15360/46250]	Loss: 0.2451	LR: 0.000800
Training Epoch: 19 [15616/46250]	Loss: 0.2662	LR: 0.000800
Training Epoch: 19 [15872/46250]	Loss: 0.3411	LR: 0.000800
Training Epoch: 19 [16128/46250]	Loss: 0.2732	LR: 0.000800
Training Epoch: 19 [16384/46250]	Loss: 0.2903	LR: 0.000800
Training Epoch: 19 [16640/46250]	Loss: 0.2283	LR: 0.000800
Training Epoch: 19 [16896/46250]	Loss: 0.2613	LR: 0.000800
Training Epoch: 19 [17152/46250]	Loss: 0.2450	LR: 0.000800
Training Epoch: 19 [17408/46250]	Loss: 0.2379	LR: 0.000800
Training Epoch: 19 [17664/46250]	Loss: 0.2624	LR: 0.000800
Training Epoch: 19 [17920/46250]	Loss: 0.2782	LR: 0.000800
Training Epoch: 19 [18176/46250]	Loss: 0.3524	LR: 0.000800
Training Epoch: 19 [18432/46250]	Loss: 0.3137	LR: 0.000800
Training Epoch: 19 [18688/46250]	Loss: 0.2027	LR: 0.000800
Training Epoch: 19 [18944/46250]	Loss: 0.2792	LR: 0.000800
Training Epoch: 19 [19200/46250]	Loss: 0.2666	LR: 0.000800
Training Epoch: 19 [19456/46250]	Loss: 0.2534	LR: 0.000800
Training Epoch: 19 [19712/46250]	Loss: 0.3168	LR: 0.000800
Training Epoch: 19 [19968/46250]	Loss: 0.2457	LR: 0.000800
Training Epoch: 19 [20224/46250]	Loss: 0.2557	LR: 0.000800
Training Epoch: 19 [20480/46250]	Loss: 0.3268	LR: 0.000800
Training Epoch: 19 [20736/46250]	Loss: 0.2841	LR: 0.000800
Training Epoch: 19 [20992/46250]	Loss: 0.2644	LR: 0.000800
Training Epoch: 19 [21248/46250]	Loss: 0.2686	LR: 0.000800
Training Epoch: 19 [21504/46250]	Loss: 0.3003	LR: 0.000800
Training Epoch: 19 [21760/46250]	Loss: 0.2898	LR: 0.000800
Training Epoch: 19 [22016/46250]	Loss: 0.2419	LR: 0.000800
Training Epoch: 19 [22272/46250]	Loss: 0.1949	LR: 0.000800
Training Epoch: 19 [22528/46250]	Loss: 0.1908	LR: 0.000800
Training Epoch: 19 [22784/46250]	Loss: 0.2852	LR: 0.000800
Training Epoch: 19 [23040/46250]	Loss: 0.2622	LR: 0.000800
Training Epoch: 19 [23296/46250]	Loss: 0.2115	LR: 0.000800
Training Epoch: 19 [23552/46250]	Loss: 0.2691	LR: 0.000800
Training Epoch: 19 [23808/46250]	Loss: 0.2453	LR: 0.000800
Training Epoch: 19 [24064/46250]	Loss: 0.2688	LR: 0.000800
Training Epoch: 19 [24320/46250]	Loss: 0.3289	LR: 0.000800
Training Epoch: 19 [24576/46250]	Loss: 0.2472	LR: 0.000800
Training Epoch: 19 [24832/46250]	Loss: 0.3122	LR: 0.000800
Training Epoch: 19 [25088/46250]	Loss: 0.3007	LR: 0.000800
Training Epoch: 19 [25344/46250]	Loss: 0.2540	LR: 0.000800
Training Epoch: 19 [25600/46250]	Loss: 0.2372	LR: 0.000800
Training Epoch: 19 [25856/46250]	Loss: 0.1946	LR: 0.000800
Training Epoch: 19 [26112/46250]	Loss: 0.2616	LR: 0.000800
Training Epoch: 19 [26368/46250]	Loss: 0.2574	LR: 0.000800
Training Epoch: 19 [26624/46250]	Loss: 0.2482	LR: 0.000800
Training Epoch: 19 [26880/46250]	Loss: 0.2499	LR: 0.000800
Training Epoch: 19 [27136/46250]	Loss: 0.2683	LR: 0.000800
Training Epoch: 19 [27392/46250]	Loss: 0.2702	LR: 0.000800
Training Epoch: 19 [27648/46250]	Loss: 0.2104	LR: 0.000800
Training Epoch: 19 [27904/46250]	Loss: 0.3069	LR: 0.000800
Training Epoch: 19 [28160/46250]	Loss: 0.2951	LR: 0.000800
Training Epoch: 19 [28416/46250]	Loss: 0.2950	LR: 0.000800
Training Epoch: 19 [28672/46250]	Loss: 0.3186	LR: 0.000800
Training Epoch: 19 [28928/46250]	Loss: 0.2340	LR: 0.000800
Training Epoch: 19 [29184/46250]	Loss: 0.2453	LR: 0.000800
Training Epoch: 19 [29440/46250]	Loss: 0.3951	LR: 0.000800
Training Epoch: 19 [29696/46250]	Loss: 0.3070	LR: 0.000800
Training Epoch: 19 [29952/46250]	Loss: 0.2401	LR: 0.000800
Training Epoch: 19 [30208/46250]	Loss: 0.2520	LR: 0.000800
Training Epoch: 19 [30464/46250]	Loss: 0.2571	LR: 0.000800
Training Epoch: 19 [30720/46250]	Loss: 0.3374	LR: 0.000800
Training Epoch: 19 [30976/46250]	Loss: 0.2491	LR: 0.000800
Training Epoch: 19 [31232/46250]	Loss: 0.2361	LR: 0.000800
Training Epoch: 19 [31488/46250]	Loss: 0.3142	LR: 0.000800
Training Epoch: 19 [31744/46250]	Loss: 0.2879	LR: 0.000800
Training Epoch: 19 [32000/46250]	Loss: 0.2191	LR: 0.000800
Training Epoch: 19 [32256/46250]	Loss: 0.2611	LR: 0.000800
Training Epoch: 19 [32512/46250]	Loss: 0.2595	LR: 0.000800
Training Epoch: 19 [32768/46250]	Loss: 0.2557	LR: 0.000800
Training Epoch: 19 [33024/46250]	Loss: 0.3583	LR: 0.000800
Training Epoch: 19 [33280/46250]	Loss: 0.2560	LR: 0.000800
Training Epoch: 19 [33536/46250]	Loss: 0.2152	LR: 0.000800
Training Epoch: 19 [33792/46250]	Loss: 0.2631	LR: 0.000800
Training Epoch: 19 [34048/46250]	Loss: 0.3108	LR: 0.000800
Training Epoch: 19 [34304/46250]	Loss: 0.2590	LR: 0.000800
Training Epoch: 19 [34560/46250]	Loss: 0.2906	LR: 0.000800
Training Epoch: 19 [34816/46250]	Loss: 0.1955	LR: 0.000800
Training Epoch: 19 [35072/46250]	Loss: 0.3254	LR: 0.000800
Training Epoch: 19 [35328/46250]	Loss: 0.3086	LR: 0.000800
Training Epoch: 19 [35584/46250]	Loss: 0.2883	LR: 0.000800
Training Epoch: 19 [35840/46250]	Loss: 0.2783	LR: 0.000800
Training Epoch: 19 [36096/46250]	Loss: 0.3265	LR: 0.000800
Training Epoch: 19 [36352/46250]	Loss: 0.2462	LR: 0.000800
Training Epoch: 19 [36608/46250]	Loss: 0.2517	LR: 0.000800
Training Epoch: 19 [36864/46250]	Loss: 0.3223	LR: 0.000800
Training Epoch: 19 [37120/46250]	Loss: 0.2931	LR: 0.000800
Training Epoch: 19 [37376/46250]	Loss: 0.2519	LR: 0.000800
Training Epoch: 19 [37632/46250]	Loss: 0.2760	LR: 0.000800
Training Epoch: 19 [37888/46250]	Loss: 0.3055	LR: 0.000800
Training Epoch: 19 [38144/46250]	Loss: 0.2751	LR: 0.000800
Training Epoch: 19 [38400/46250]	Loss: 0.2802	LR: 0.000800
Training Epoch: 19 [38656/46250]	Loss: 0.2826	LR: 0.000800
Training Epoch: 19 [38912/46250]	Loss: 0.3304	LR: 0.000800
Training Epoch: 19 [39168/46250]	Loss: 0.2939	LR: 0.000800
Training Epoch: 19 [39424/46250]	Loss: 0.2688	LR: 0.000800
Training Epoch: 19 [39680/46250]	Loss: 0.3085	LR: 0.000800
Training Epoch: 19 [39936/46250]	Loss: 0.2507	LR: 0.000800
Training Epoch: 19 [40192/46250]	Loss: 0.2272	LR: 0.000800
Training Epoch: 19 [40448/46250]	Loss: 0.2730	LR: 0.000800
Training Epoch: 19 [40704/46250]	Loss: 0.2952	LR: 0.000800
Training Epoch: 19 [40960/46250]	Loss: 0.3242	LR: 0.000800
Training Epoch: 19 [41216/46250]	Loss: 0.2727	LR: 0.000800
Training Epoch: 19 [41472/46250]	Loss: 0.3071	LR: 0.000800
Training Epoch: 19 [41728/46250]	Loss: 0.2991	LR: 0.000800
Training Epoch: 19 [41984/46250]	Loss: 0.3583	LR: 0.000800
Training Epoch: 19 [42240/46250]	Loss: 0.3030	LR: 0.000800
Training Epoch: 19 [42496/46250]	Loss: 0.2167	LR: 0.000800
Training Epoch: 19 [42752/46250]	Loss: 0.1604	LR: 0.000800
Training Epoch: 19 [43008/46250]	Loss: 0.2550	LR: 0.000800
Training Epoch: 19 [43264/46250]	Loss: 0.1863	LR: 0.000800
Training Epoch: 19 [43520/46250]	Loss: 0.2409	LR: 0.000800
Training Epoch: 19 [43776/46250]	Loss: 0.2619	LR: 0.000800
Training Epoch: 19 [44032/46250]	Loss: 0.3684	LR: 0.000800
Training Epoch: 19 [44288/46250]	Loss: 0.2795	LR: 0.000800
Training Epoch: 19 [44544/46250]	Loss: 0.2865	LR: 0.000800
Training Epoch: 19 [44800/46250]	Loss: 0.2610	LR: 0.000800
Training Epoch: 19 [45056/46250]	Loss: 0.2356	LR: 0.000800
Training Epoch: 19 [45312/46250]	Loss: 0.2515	LR: 0.000800
Training Epoch: 19 [45568/46250]	Loss: 0.2866	LR: 0.000800
Training Epoch: 19 [45824/46250]	Loss: 0.2525	LR: 0.000800
Training Epoch: 19 [46080/46250]	Loss: 0.2290	LR: 0.000800
Training Epoch: 19 [46250/46250]	Loss: 0.2594	LR: 0.000800
Epoch 19 - Average Train Loss: 0.2721, Train Accuracy: 0.9047
Epoch 19 training time consumed: 28.45s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0013, Accuracy: 0.8909, Time consumed:1.00s
Training Epoch: 20 [256/46250]	Loss: 0.2799	LR: 0.000800
Training Epoch: 20 [512/46250]	Loss: 0.2804	LR: 0.000800
Training Epoch: 20 [768/46250]	Loss: 0.2393	LR: 0.000800
Training Epoch: 20 [1024/46250]	Loss: 0.2324	LR: 0.000800
Training Epoch: 20 [1280/46250]	Loss: 0.2706	LR: 0.000800
Training Epoch: 20 [1536/46250]	Loss: 0.2683	LR: 0.000800
Training Epoch: 20 [1792/46250]	Loss: 0.2280	LR: 0.000800
Training Epoch: 20 [2048/46250]	Loss: 0.2981	LR: 0.000800
Training Epoch: 20 [2304/46250]	Loss: 0.2164	LR: 0.000800
Training Epoch: 20 [2560/46250]	Loss: 0.3155	LR: 0.000800
Training Epoch: 20 [2816/46250]	Loss: 0.2441	LR: 0.000800
Training Epoch: 20 [3072/46250]	Loss: 0.2960	LR: 0.000800
Training Epoch: 20 [3328/46250]	Loss: 0.2505	LR: 0.000800
Training Epoch: 20 [3584/46250]	Loss: 0.2919	LR: 0.000800
Training Epoch: 20 [3840/46250]	Loss: 0.2755	LR: 0.000800
Training Epoch: 20 [4096/46250]	Loss: 0.3453	LR: 0.000800
Training Epoch: 20 [4352/46250]	Loss: 0.2858	LR: 0.000800
Training Epoch: 20 [4608/46250]	Loss: 0.2862	LR: 0.000800
Training Epoch: 20 [4864/46250]	Loss: 0.2851	LR: 0.000800
Training Epoch: 20 [5120/46250]	Loss: 0.2590	LR: 0.000800
Training Epoch: 20 [5376/46250]	Loss: 0.3306	LR: 0.000800
Training Epoch: 20 [5632/46250]	Loss: 0.3323	LR: 0.000800
Training Epoch: 20 [5888/46250]	Loss: 0.2658	LR: 0.000800
Training Epoch: 20 [6144/46250]	Loss: 0.4008	LR: 0.000800
Training Epoch: 20 [6400/46250]	Loss: 0.2151	LR: 0.000800
Training Epoch: 20 [6656/46250]	Loss: 0.2218	LR: 0.000800
Training Epoch: 20 [6912/46250]	Loss: 0.2984	LR: 0.000800
Training Epoch: 20 [7168/46250]	Loss: 0.2200	LR: 0.000800
Training Epoch: 20 [7424/46250]	Loss: 0.2605	LR: 0.000800
Training Epoch: 20 [7680/46250]	Loss: 0.2988	LR: 0.000800
Training Epoch: 20 [7936/46250]	Loss: 0.2811	LR: 0.000800
Training Epoch: 20 [8192/46250]	Loss: 0.3378	LR: 0.000800
Training Epoch: 20 [8448/46250]	Loss: 0.1978	LR: 0.000800
Training Epoch: 20 [8704/46250]	Loss: 0.2717	LR: 0.000800
Training Epoch: 20 [8960/46250]	Loss: 0.2883	LR: 0.000800
Training Epoch: 20 [9216/46250]	Loss: 0.2948	LR: 0.000800
Training Epoch: 20 [9472/46250]	Loss: 0.2170	LR: 0.000800
Training Epoch: 20 [9728/46250]	Loss: 0.3005	LR: 0.000800
Training Epoch: 20 [9984/46250]	Loss: 0.1924	LR: 0.000800
Training Epoch: 20 [10240/46250]	Loss: 0.2858	LR: 0.000800
Training Epoch: 20 [10496/46250]	Loss: 0.3179	LR: 0.000800
Training Epoch: 20 [10752/46250]	Loss: 0.2815	LR: 0.000800
Training Epoch: 20 [11008/46250]	Loss: 0.2549	LR: 0.000800
Training Epoch: 20 [11264/46250]	Loss: 0.2539	LR: 0.000800
Training Epoch: 20 [11520/46250]	Loss: 0.2248	LR: 0.000800
Training Epoch: 20 [11776/46250]	Loss: 0.2089	LR: 0.000800
Training Epoch: 20 [12032/46250]	Loss: 0.2029	LR: 0.000800
Training Epoch: 20 [12288/46250]	Loss: 0.2868	LR: 0.000800
Training Epoch: 20 [12544/46250]	Loss: 0.2780	LR: 0.000800
Training Epoch: 20 [12800/46250]	Loss: 0.2450	LR: 0.000800
Training Epoch: 20 [13056/46250]	Loss: 0.2232	LR: 0.000800
Training Epoch: 20 [13312/46250]	Loss: 0.3046	LR: 0.000800
Training Epoch: 20 [13568/46250]	Loss: 0.2174	LR: 0.000800
Training Epoch: 20 [13824/46250]	Loss: 0.3407	LR: 0.000800
Training Epoch: 20 [14080/46250]	Loss: 0.2471	LR: 0.000800
Training Epoch: 20 [14336/46250]	Loss: 0.2680	LR: 0.000800
Training Epoch: 20 [14592/46250]	Loss: 0.2819	LR: 0.000800
Training Epoch: 20 [14848/46250]	Loss: 0.3612	LR: 0.000800
Training Epoch: 20 [15104/46250]	Loss: 0.1989	LR: 0.000800
Training Epoch: 20 [15360/46250]	Loss: 0.2625	LR: 0.000800
Training Epoch: 20 [15616/46250]	Loss: 0.2532	LR: 0.000800
Training Epoch: 20 [15872/46250]	Loss: 0.3072	LR: 0.000800
Training Epoch: 20 [16128/46250]	Loss: 0.2848	LR: 0.000800
Training Epoch: 20 [16384/46250]	Loss: 0.2545	LR: 0.000800
Training Epoch: 20 [16640/46250]	Loss: 0.3274	LR: 0.000800
Training Epoch: 20 [16896/46250]	Loss: 0.3186	LR: 0.000800
Training Epoch: 20 [17152/46250]	Loss: 0.2875	LR: 0.000800
Training Epoch: 20 [17408/46250]	Loss: 0.2644	LR: 0.000800
Training Epoch: 20 [17664/46250]	Loss: 0.2831	LR: 0.000800
Training Epoch: 20 [17920/46250]	Loss: 0.2465	LR: 0.000800
Training Epoch: 20 [18176/46250]	Loss: 0.4070	LR: 0.000800
Training Epoch: 20 [18432/46250]	Loss: 0.2883	LR: 0.000800
Training Epoch: 20 [18688/46250]	Loss: 0.1782	LR: 0.000800
Training Epoch: 20 [18944/46250]	Loss: 0.2425	LR: 0.000800
Training Epoch: 20 [19200/46250]	Loss: 0.2700	LR: 0.000800
Training Epoch: 20 [19456/46250]	Loss: 0.3124	LR: 0.000800
Training Epoch: 20 [19712/46250]	Loss: 0.2496	LR: 0.000800
Training Epoch: 20 [19968/46250]	Loss: 0.2708	LR: 0.000800
Training Epoch: 20 [20224/46250]	Loss: 0.2593	LR: 0.000800
Training Epoch: 20 [20480/46250]	Loss: 0.2670	LR: 0.000800
Training Epoch: 20 [20736/46250]	Loss: 0.2962	LR: 0.000800
Training Epoch: 20 [20992/46250]	Loss: 0.2850	LR: 0.000800
Training Epoch: 20 [21248/46250]	Loss: 0.2625	LR: 0.000800
Training Epoch: 20 [21504/46250]	Loss: 0.2018	LR: 0.000800
Training Epoch: 20 [21760/46250]	Loss: 0.1879	LR: 0.000800
Training Epoch: 20 [22016/46250]	Loss: 0.1941	LR: 0.000800
Training Epoch: 20 [22272/46250]	Loss: 0.1940	LR: 0.000800
Training Epoch: 20 [22528/46250]	Loss: 0.2414	LR: 0.000800
Training Epoch: 20 [22784/46250]	Loss: 0.3248	LR: 0.000800
Training Epoch: 20 [23040/46250]	Loss: 0.2259	LR: 0.000800
Training Epoch: 20 [23296/46250]	Loss: 0.2662	LR: 0.000800
Training Epoch: 20 [23552/46250]	Loss: 0.2661	LR: 0.000800
Training Epoch: 20 [23808/46250]	Loss: 0.3051	LR: 0.000800
Training Epoch: 20 [24064/46250]	Loss: 0.2594	LR: 0.000800
Training Epoch: 20 [24320/46250]	Loss: 0.2106	LR: 0.000800
Training Epoch: 20 [24576/46250]	Loss: 0.2750	LR: 0.000800
Training Epoch: 20 [24832/46250]	Loss: 0.2616	LR: 0.000800
Training Epoch: 20 [25088/46250]	Loss: 0.2455	LR: 0.000800
Training Epoch: 20 [25344/46250]	Loss: 0.3553	LR: 0.000800
Training Epoch: 20 [25600/46250]	Loss: 0.2216	LR: 0.000800
Training Epoch: 20 [25856/46250]	Loss: 0.2361	LR: 0.000800
Training Epoch: 20 [26112/46250]	Loss: 0.2538	LR: 0.000800
Training Epoch: 20 [26368/46250]	Loss: 0.2574	LR: 0.000800
Training Epoch: 20 [26624/46250]	Loss: 0.2873	LR: 0.000800
Training Epoch: 20 [26880/46250]	Loss: 0.2730	LR: 0.000800
Training Epoch: 20 [27136/46250]	Loss: 0.2754	LR: 0.000800
Training Epoch: 20 [27392/46250]	Loss: 0.3578	LR: 0.000800
Training Epoch: 20 [27648/46250]	Loss: 0.2507	LR: 0.000800
Training Epoch: 20 [27904/46250]	Loss: 0.2801	LR: 0.000800
Training Epoch: 20 [28160/46250]	Loss: 0.3043	LR: 0.000800
Training Epoch: 20 [28416/46250]	Loss: 0.2657	LR: 0.000800
Training Epoch: 20 [28672/46250]	Loss: 0.3004	LR: 0.000800
Training Epoch: 20 [28928/46250]	Loss: 0.2735	LR: 0.000800
Training Epoch: 20 [29184/46250]	Loss: 0.2955	LR: 0.000800
Training Epoch: 20 [29440/46250]	Loss: 0.2048	LR: 0.000800
Training Epoch: 20 [29696/46250]	Loss: 0.2988	LR: 0.000800
Training Epoch: 20 [29952/46250]	Loss: 0.2725	LR: 0.000800
Training Epoch: 20 [30208/46250]	Loss: 0.2554	LR: 0.000800
Training Epoch: 20 [30464/46250]	Loss: 0.3219	LR: 0.000800
Training Epoch: 20 [30720/46250]	Loss: 0.2830	LR: 0.000800
Training Epoch: 20 [30976/46250]	Loss: 0.2725	LR: 0.000800
Training Epoch: 20 [31232/46250]	Loss: 0.3623	LR: 0.000800
Training Epoch: 20 [31488/46250]	Loss: 0.2327	LR: 0.000800
Training Epoch: 20 [31744/46250]	Loss: 0.2101	LR: 0.000800
Training Epoch: 20 [32000/46250]	Loss: 0.2907	LR: 0.000800
Training Epoch: 20 [32256/46250]	Loss: 0.2951	LR: 0.000800
Training Epoch: 20 [32512/46250]	Loss: 0.2328	LR: 0.000800
Training Epoch: 20 [32768/46250]	Loss: 0.2881	LR: 0.000800
Training Epoch: 20 [33024/46250]	Loss: 0.2828	LR: 0.000800
Training Epoch: 20 [33280/46250]	Loss: 0.2342	LR: 0.000800
Training Epoch: 20 [33536/46250]	Loss: 0.2363	LR: 0.000800
Training Epoch: 20 [33792/46250]	Loss: 0.2308	LR: 0.000800
Training Epoch: 20 [34048/46250]	Loss: 0.2957	LR: 0.000800
Training Epoch: 20 [34304/46250]	Loss: 0.2894	LR: 0.000800
Training Epoch: 20 [34560/46250]	Loss: 0.1940	LR: 0.000800
Training Epoch: 20 [34816/46250]	Loss: 0.2773	LR: 0.000800
Training Epoch: 20 [35072/46250]	Loss: 0.2899	LR: 0.000800
Training Epoch: 20 [35328/46250]	Loss: 0.3306	LR: 0.000800
Training Epoch: 20 [35584/46250]	Loss: 0.2817	LR: 0.000800
Training Epoch: 20 [35840/46250]	Loss: 0.3802	LR: 0.000800
Training Epoch: 20 [36096/46250]	Loss: 0.3013	LR: 0.000800
Training Epoch: 20 [36352/46250]	Loss: 0.2246	LR: 0.000800
Training Epoch: 20 [36608/46250]	Loss: 0.3066	LR: 0.000800
Training Epoch: 20 [36864/46250]	Loss: 0.2320	LR: 0.000800
Training Epoch: 20 [37120/46250]	Loss: 0.2608	LR: 0.000800
Training Epoch: 20 [37376/46250]	Loss: 0.2349	LR: 0.000800
Training Epoch: 20 [37632/46250]	Loss: 0.2315	LR: 0.000800
Training Epoch: 20 [37888/46250]	Loss: 0.3303	LR: 0.000800
Training Epoch: 20 [38144/46250]	Loss: 0.2321	LR: 0.000800
Training Epoch: 20 [38400/46250]	Loss: 0.2465	LR: 0.000800
Training Epoch: 20 [38656/46250]	Loss: 0.2077	LR: 0.000800
Training Epoch: 20 [38912/46250]	Loss: 0.2622	LR: 0.000800
Training Epoch: 20 [39168/46250]	Loss: 0.3096	LR: 0.000800
Training Epoch: 20 [39424/46250]	Loss: 0.2829	LR: 0.000800
Training Epoch: 20 [39680/46250]	Loss: 0.2952	LR: 0.000800
Training Epoch: 20 [39936/46250]	Loss: 0.2052	LR: 0.000800
Training Epoch: 20 [40192/46250]	Loss: 0.3151	LR: 0.000800
Training Epoch: 20 [40448/46250]	Loss: 0.2800	LR: 0.000800
Training Epoch: 20 [40704/46250]	Loss: 0.2118	LR: 0.000800
Training Epoch: 20 [40960/46250]	Loss: 0.2502	LR: 0.000800
Training Epoch: 20 [41216/46250]	Loss: 0.2172	LR: 0.000800
Training Epoch: 20 [41472/46250]	Loss: 0.2507	LR: 0.000800
Training Epoch: 20 [41728/46250]	Loss: 0.3985	LR: 0.000800
Training Epoch: 20 [41984/46250]	Loss: 0.2840	LR: 0.000800
Training Epoch: 20 [42240/46250]	Loss: 0.2452	LR: 0.000800
Training Epoch: 20 [42496/46250]	Loss: 0.2074	LR: 0.000800
Training Epoch: 20 [42752/46250]	Loss: 0.2734	LR: 0.000800
Training Epoch: 20 [43008/46250]	Loss: 0.2671	LR: 0.000800
Training Epoch: 20 [43264/46250]	Loss: 0.2644	LR: 0.000800
Training Epoch: 20 [43520/46250]	Loss: 0.2084	LR: 0.000800
Training Epoch: 20 [43776/46250]	Loss: 0.3069	LR: 0.000800
Training Epoch: 20 [44032/46250]	Loss: 0.2047	LR: 0.000800
Training Epoch: 20 [44288/46250]	Loss: 0.2821	LR: 0.000800
Training Epoch: 20 [44544/46250]	Loss: 0.2286	LR: 0.000800
Training Epoch: 20 [44800/46250]	Loss: 0.2975	LR: 0.000800
Training Epoch: 20 [45056/46250]	Loss: 0.2474	LR: 0.000800
Training Epoch: 20 [45312/46250]	Loss: 0.3147	LR: 0.000800
Training Epoch: 20 [45568/46250]	Loss: 0.2674	LR: 0.000800
Training Epoch: 20 [45824/46250]	Loss: 0.2819	LR: 0.000800
Training Epoch: 20 [46080/46250]	Loss: 0.2976	LR: 0.000800
Training Epoch: 20 [46250/46250]	Loss: 0.3094	LR: 0.000800
Epoch 20 - Average Train Loss: 0.2695, Train Accuracy: 0.9052
Epoch 20 training time consumed: 28.54s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0013, Accuracy: 0.8911, Time consumed:0.99s
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: 0.7440
Set1 Distribution: 3750 samples
Set2 Distribution: 3750 samples
MIA Attack Accuracy with XGBoost: 0.4973
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
MIA Attack Accuracy with XGBoost: 0.6512
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
MIA Attack Accuracy with XGBoost: 0.5105
Test Accuracy: 91.552734375
Retain Accuracy: 94.01531982421875
Zero-Retain Forget (ZRF): 0.82742840051651
Membership Inference Attack (MIA): 0.6922666666666667
Forget vs Retain Membership Inference Attack (MIA): 0.744
Forget vs Test Membership Inference Attack (MIA): 0.49733333333333335
Test vs Retain Membership Inference Attack (MIA): 0.65125
Train vs Test Membership Inference Attack (MIA): 0.5105
Forget Set Accuracy (Df): 94.39444732666016
Method Execution Time: 2351.40 seconds
