hello
hello

📌 Retain class distribution for seed 2:
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 2:
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
hello
hello
⚠️ Warning: Retain train loader may not be shuffled.
Training Epoch: 1 [256/46250]	Loss: 2.4367	LR: 0.000000
Training Epoch: 1 [512/46250]	Loss: 2.4188	LR: 0.000552
Training Epoch: 1 [768/46250]	Loss: 2.4621	LR: 0.001105
Training Epoch: 1 [1024/46250]	Loss: 2.3962	LR: 0.001657
Training Epoch: 1 [1280/46250]	Loss: 2.3815	LR: 0.002210
Training Epoch: 1 [1536/46250]	Loss: 2.2803	LR: 0.002762
Training Epoch: 1 [1792/46250]	Loss: 2.2381	LR: 0.003315
Training Epoch: 1 [2048/46250]	Loss: 2.2487	LR: 0.003867
Training Epoch: 1 [2304/46250]	Loss: 2.2287	LR: 0.004420
Training Epoch: 1 [2560/46250]	Loss: 2.3067	LR: 0.004972
Training Epoch: 1 [2816/46250]	Loss: 2.2574	LR: 0.005525
Training Epoch: 1 [3072/46250]	Loss: 2.3495	LR: 0.006077
Training Epoch: 1 [3328/46250]	Loss: 2.1405	LR: 0.006630
Training Epoch: 1 [3584/46250]	Loss: 2.1281	LR: 0.007182
Training Epoch: 1 [3840/46250]	Loss: 2.0838	LR: 0.007735
Training Epoch: 1 [4096/46250]	Loss: 2.1215	LR: 0.008287
Training Epoch: 1 [4352/46250]	Loss: 1.9389	LR: 0.008840
Training Epoch: 1 [4608/46250]	Loss: 2.0651	LR: 0.009392
Training Epoch: 1 [4864/46250]	Loss: 2.0878	LR: 0.009945
Training Epoch: 1 [5120/46250]	Loss: 1.9894	LR: 0.010497
Training Epoch: 1 [5376/46250]	Loss: 1.9666	LR: 0.011050
Training Epoch: 1 [5632/46250]	Loss: 1.8821	LR: 0.011602
Training Epoch: 1 [5888/46250]	Loss: 1.8592	LR: 0.012155
Training Epoch: 1 [6144/46250]	Loss: 1.9156	LR: 0.012707
Training Epoch: 1 [6400/46250]	Loss: 1.9813	LR: 0.013260
Training Epoch: 1 [6656/46250]	Loss: 1.9536	LR: 0.013812
Training Epoch: 1 [6912/46250]	Loss: 1.8363	LR: 0.014365
Training Epoch: 1 [7168/46250]	Loss: 1.9042	LR: 0.014917
Training Epoch: 1 [7424/46250]	Loss: 1.8365	LR: 0.015470
Training Epoch: 1 [7680/46250]	Loss: 1.8464	LR: 0.016022
Training Epoch: 1 [7936/46250]	Loss: 1.8665	LR: 0.016575
Training Epoch: 1 [8192/46250]	Loss: 1.8449	LR: 0.017127
Training Epoch: 1 [8448/46250]	Loss: 1.8561	LR: 0.017680
Training Epoch: 1 [8704/46250]	Loss: 1.8676	LR: 0.018232
Training Epoch: 1 [8960/46250]	Loss: 1.7898	LR: 0.018785
Training Epoch: 1 [9216/46250]	Loss: 1.8428	LR: 0.019337
Training Epoch: 1 [9472/46250]	Loss: 1.7577	LR: 0.019890
Training Epoch: 1 [9728/46250]	Loss: 1.8310	LR: 0.020442
Training Epoch: 1 [9984/46250]	Loss: 1.7989	LR: 0.020994
Training Epoch: 1 [10240/46250]	Loss: 1.8750	LR: 0.021547
Training Epoch: 1 [10496/46250]	Loss: 1.8051	LR: 0.022099
Training Epoch: 1 [10752/46250]	Loss: 1.8123	LR: 0.022652
Training Epoch: 1 [11008/46250]	Loss: 1.9161	LR: 0.023204
Training Epoch: 1 [11264/46250]	Loss: 1.8381	LR: 0.023757
Training Epoch: 1 [11520/46250]	Loss: 1.6935	LR: 0.024309
Training Epoch: 1 [11776/46250]	Loss: 1.9246	LR: 0.024862
Training Epoch: 1 [12032/46250]	Loss: 1.9230	LR: 0.025414
Training Epoch: 1 [12288/46250]	Loss: 1.8135	LR: 0.025967
Training Epoch: 1 [12544/46250]	Loss: 1.9480	LR: 0.026519
Training Epoch: 1 [12800/46250]	Loss: 1.8128	LR: 0.027072
Training Epoch: 1 [13056/46250]	Loss: 1.9611	LR: 0.027624
Training Epoch: 1 [13312/46250]	Loss: 1.9498	LR: 0.028177
Training Epoch: 1 [13568/46250]	Loss: 1.9061	LR: 0.028729
Training Epoch: 1 [13824/46250]	Loss: 1.8662	LR: 0.029282
Training Epoch: 1 [14080/46250]	Loss: 1.9881	LR: 0.029834
Training Epoch: 1 [14336/46250]	Loss: 1.6978	LR: 0.030387
Training Epoch: 1 [14592/46250]	Loss: 1.8051	LR: 0.030939
Training Epoch: 1 [14848/46250]	Loss: 1.7016	LR: 0.031492
Training Epoch: 1 [15104/46250]	Loss: 1.6164	LR: 0.032044
Training Epoch: 1 [15360/46250]	Loss: 1.9339	LR: 0.032597
Training Epoch: 1 [15616/46250]	Loss: 1.6453	LR: 0.033149
Training Epoch: 1 [15872/46250]	Loss: 1.8288	LR: 0.033702
Training Epoch: 1 [16128/46250]	Loss: 1.8902	LR: 0.034254
Training Epoch: 1 [16384/46250]	Loss: 1.6317	LR: 0.034807
Training Epoch: 1 [16640/46250]	Loss: 1.6452	LR: 0.035359
Training Epoch: 1 [16896/46250]	Loss: 1.8191	LR: 0.035912
Training Epoch: 1 [17152/46250]	Loss: 1.8296	LR: 0.036464
Training Epoch: 1 [17408/46250]	Loss: 1.6948	LR: 0.037017
Training Epoch: 1 [17664/46250]	Loss: 1.7006	LR: 0.037569
Training Epoch: 1 [17920/46250]	Loss: 1.6385	LR: 0.038122
Training Epoch: 1 [18176/46250]	Loss: 1.7324	LR: 0.038674
Training Epoch: 1 [18432/46250]	Loss: 1.8800	LR: 0.039227
Training Epoch: 1 [18688/46250]	Loss: 1.7742	LR: 0.039779
Training Epoch: 1 [18944/46250]	Loss: 1.8494	LR: 0.040331
Training Epoch: 1 [19200/46250]	Loss: 1.6408	LR: 0.040884
Training Epoch: 1 [19456/46250]	Loss: 1.6882	LR: 0.041436
Training Epoch: 1 [19712/46250]	Loss: 1.6736	LR: 0.041989
Training Epoch: 1 [19968/46250]	Loss: 1.9104	LR: 0.042541
Training Epoch: 1 [20224/46250]	Loss: 1.7613	LR: 0.043094
Training Epoch: 1 [20480/46250]	Loss: 1.6904	LR: 0.043646
Training Epoch: 1 [20736/46250]	Loss: 1.7678	LR: 0.044199
Training Epoch: 1 [20992/46250]	Loss: 1.8039	LR: 0.044751
Training Epoch: 1 [21248/46250]	Loss: 1.9419	LR: 0.045304
Training Epoch: 1 [21504/46250]	Loss: 1.6767	LR: 0.045856
Training Epoch: 1 [21760/46250]	Loss: 1.7732	LR: 0.046409
Training Epoch: 1 [22016/46250]	Loss: 1.7802	LR: 0.046961
Training Epoch: 1 [22272/46250]	Loss: 1.6320	LR: 0.047514
Training Epoch: 1 [22528/46250]	Loss: 1.7659	LR: 0.048066
Training Epoch: 1 [22784/46250]	Loss: 1.7500	LR: 0.048619
Training Epoch: 1 [23040/46250]	Loss: 1.5611	LR: 0.049171
Training Epoch: 1 [23296/46250]	Loss: 1.5132	LR: 0.049724
Training Epoch: 1 [23552/46250]	Loss: 1.8546	LR: 0.050276
Training Epoch: 1 [23808/46250]	Loss: 1.6201	LR: 0.050829
Training Epoch: 1 [24064/46250]	Loss: 1.6474	LR: 0.051381
Training Epoch: 1 [24320/46250]	Loss: 1.5531	LR: 0.051934
Training Epoch: 1 [24576/46250]	Loss: 1.6893	LR: 0.052486
Training Epoch: 1 [24832/46250]	Loss: 1.6521	LR: 0.053039
Training Epoch: 1 [25088/46250]	Loss: 1.7848	LR: 0.053591
Training Epoch: 1 [25344/46250]	Loss: 1.6884	LR: 0.054144
Training Epoch: 1 [25600/46250]	Loss: 1.8386	LR: 0.054696
Training Epoch: 1 [25856/46250]	Loss: 1.5436	LR: 0.055249
Training Epoch: 1 [26112/46250]	Loss: 1.7596	LR: 0.055801
Training Epoch: 1 [26368/46250]	Loss: 1.8877	LR: 0.056354
Training Epoch: 1 [26624/46250]	Loss: 1.8207	LR: 0.056906
Training Epoch: 1 [26880/46250]	Loss: 1.7602	LR: 0.057459
Training Epoch: 1 [27136/46250]	Loss: 1.8354	LR: 0.058011
Training Epoch: 1 [27392/46250]	Loss: 1.6196	LR: 0.058564
Training Epoch: 1 [27648/46250]	Loss: 1.7931	LR: 0.059116
Training Epoch: 1 [27904/46250]	Loss: 1.9667	LR: 0.059669
Training Epoch: 1 [28160/46250]	Loss: 1.6983	LR: 0.060221
Training Epoch: 1 [28416/46250]	Loss: 1.7928	LR: 0.060773
Training Epoch: 1 [28672/46250]	Loss: 1.9217	LR: 0.061326
Training Epoch: 1 [28928/46250]	Loss: 1.6862	LR: 0.061878
Training Epoch: 1 [29184/46250]	Loss: 1.6574	LR: 0.062431
Training Epoch: 1 [29440/46250]	Loss: 1.6055	LR: 0.062983
Training Epoch: 1 [29696/46250]	Loss: 1.6422	LR: 0.063536
Training Epoch: 1 [29952/46250]	Loss: 1.5322	LR: 0.064088
Training Epoch: 1 [30208/46250]	Loss: 1.6748	LR: 0.064641
Training Epoch: 1 [30464/46250]	Loss: 1.5699	LR: 0.065193
Training Epoch: 1 [30720/46250]	Loss: 1.6689	LR: 0.065746
Training Epoch: 1 [30976/46250]	Loss: 1.7931	LR: 0.066298
Training Epoch: 1 [31232/46250]	Loss: 1.6205	LR: 0.066851
Training Epoch: 1 [31488/46250]	Loss: 1.6151	LR: 0.067403
Training Epoch: 1 [31744/46250]	Loss: 1.5533	LR: 0.067956
Training Epoch: 1 [32000/46250]	Loss: 1.6834	LR: 0.068508
Training Epoch: 1 [32256/46250]	Loss: 1.4687	LR: 0.069061
Training Epoch: 1 [32512/46250]	Loss: 1.5615	LR: 0.069613
Training Epoch: 1 [32768/46250]	Loss: 1.5553	LR: 0.070166
Training Epoch: 1 [33024/46250]	Loss: 1.4646	LR: 0.070718
Training Epoch: 1 [33280/46250]	Loss: 1.5064	LR: 0.071271
Training Epoch: 1 [33536/46250]	Loss: 1.5904	LR: 0.071823
Training Epoch: 1 [33792/46250]	Loss: 1.4881	LR: 0.072376
Training Epoch: 1 [34048/46250]	Loss: 1.4180	LR: 0.072928
Training Epoch: 1 [34304/46250]	Loss: 1.6555	LR: 0.073481
Training Epoch: 1 [34560/46250]	Loss: 1.4414	LR: 0.074033
Training Epoch: 1 [34816/46250]	Loss: 1.5351	LR: 0.074586
Training Epoch: 1 [35072/46250]	Loss: 1.5819	LR: 0.075138
Training Epoch: 1 [35328/46250]	Loss: 1.5557	LR: 0.075691
Training Epoch: 1 [35584/46250]	Loss: 1.5298	LR: 0.076243
Training Epoch: 1 [35840/46250]	Loss: 1.6749	LR: 0.076796
Training Epoch: 1 [36096/46250]	Loss: 1.4359	LR: 0.077348
Training Epoch: 1 [36352/46250]	Loss: 1.6061	LR: 0.077901
Training Epoch: 1 [36608/46250]	Loss: 1.4897	LR: 0.078453
Training Epoch: 1 [36864/46250]	Loss: 1.6103	LR: 0.079006
Training Epoch: 1 [37120/46250]	Loss: 1.5277	LR: 0.079558
Training Epoch: 1 [37376/46250]	Loss: 1.5806	LR: 0.080110
Training Epoch: 1 [37632/46250]	Loss: 1.4650	LR: 0.080663
Training Epoch: 1 [37888/46250]	Loss: 1.6128	LR: 0.081215
Training Epoch: 1 [38144/46250]	Loss: 1.6825	LR: 0.081768
Training Epoch: 1 [38400/46250]	Loss: 1.4158	LR: 0.082320
Training Epoch: 1 [38656/46250]	Loss: 1.3486	LR: 0.082873
Training Epoch: 1 [38912/46250]	Loss: 1.4307	LR: 0.083425
Training Epoch: 1 [39168/46250]	Loss: 1.5827	LR: 0.083978
Training Epoch: 1 [39424/46250]	Loss: 1.4154	LR: 0.084530
Training Epoch: 1 [39680/46250]	Loss: 1.6136	LR: 0.085083
Training Epoch: 1 [39936/46250]	Loss: 1.3474	LR: 0.085635
Training Epoch: 1 [40192/46250]	Loss: 1.7140	LR: 0.086188
Training Epoch: 1 [40448/46250]	Loss: 1.4584	LR: 0.086740
Training Epoch: 1 [40704/46250]	Loss: 1.5873	LR: 0.087293
Training Epoch: 1 [40960/46250]	Loss: 1.4792	LR: 0.087845
Training Epoch: 1 [41216/46250]	Loss: 1.6477	LR: 0.088398
Training Epoch: 1 [41472/46250]	Loss: 1.5153	LR: 0.088950
Training Epoch: 1 [41728/46250]	Loss: 1.5436	LR: 0.089503
Training Epoch: 1 [41984/46250]	Loss: 1.6106	LR: 0.090055
Training Epoch: 1 [42240/46250]	Loss: 1.5303	LR: 0.090608
Training Epoch: 1 [42496/46250]	Loss: 1.5668	LR: 0.091160
Training Epoch: 1 [42752/46250]	Loss: 1.5232	LR: 0.091713
Training Epoch: 1 [43008/46250]	Loss: 1.5154	LR: 0.092265
Training Epoch: 1 [43264/46250]	Loss: 1.4687	LR: 0.092818
Training Epoch: 1 [43520/46250]	Loss: 1.4040	LR: 0.093370
Training Epoch: 1 [43776/46250]	Loss: 1.5813	LR: 0.093923
Training Epoch: 1 [44032/46250]	Loss: 1.4549	LR: 0.094475
Training Epoch: 1 [44288/46250]	Loss: 1.3825	LR: 0.095028
Training Epoch: 1 [44544/46250]	Loss: 1.6287	LR: 0.095580
Training Epoch: 1 [44800/46250]	Loss: 1.3246	LR: 0.096133
Training Epoch: 1 [45056/46250]	Loss: 1.6619	LR: 0.096685
Training Epoch: 1 [45312/46250]	Loss: 1.5450	LR: 0.097238
Training Epoch: 1 [45568/46250]	Loss: 1.3708	LR: 0.097790
Training Epoch: 1 [45824/46250]	Loss: 1.3650	LR: 0.098343
Training Epoch: 1 [46080/46250]	Loss: 1.3917	LR: 0.098895
Training Epoch: 1 [46250/46250]	Loss: 1.3405	LR: 0.099448
Epoch 1 - Average Train Loss: 1.7439, Train Accuracy: 0.3645
Epoch 1 training time consumed: 29.14s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0085, Accuracy: 0.3913, Time consumed:1.34s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_19h_02m_22s/ResNet18-Cifar10-seed2-ret25-1-best.pth
Training Epoch: 2 [256/46250]	Loss: 1.5289	LR: 0.100000
Training Epoch: 2 [512/46250]	Loss: 1.4490	LR: 0.100000
Training Epoch: 2 [768/46250]	Loss: 1.3441	LR: 0.100000
Training Epoch: 2 [1024/46250]	Loss: 1.4288	LR: 0.100000
Training Epoch: 2 [1280/46250]	Loss: 1.4597	LR: 0.100000
Training Epoch: 2 [1536/46250]	Loss: 1.3698	LR: 0.100000
Training Epoch: 2 [1792/46250]	Loss: 1.4865	LR: 0.100000
Training Epoch: 2 [2048/46250]	Loss: 1.4291	LR: 0.100000
Training Epoch: 2 [2304/46250]	Loss: 1.4154	LR: 0.100000
Training Epoch: 2 [2560/46250]	Loss: 1.4110	LR: 0.100000
Training Epoch: 2 [2816/46250]	Loss: 1.4557	LR: 0.100000
Training Epoch: 2 [3072/46250]	Loss: 1.3790	LR: 0.100000
Training Epoch: 2 [3328/46250]	Loss: 1.3626	LR: 0.100000
Training Epoch: 2 [3584/46250]	Loss: 1.3475	LR: 0.100000
Training Epoch: 2 [3840/46250]	Loss: 1.1926	LR: 0.100000
Training Epoch: 2 [4096/46250]	Loss: 1.3273	LR: 0.100000
Training Epoch: 2 [4352/46250]	Loss: 1.3557	LR: 0.100000
Training Epoch: 2 [4608/46250]	Loss: 1.4976	LR: 0.100000
Training Epoch: 2 [4864/46250]	Loss: 1.3790	LR: 0.100000
Training Epoch: 2 [5120/46250]	Loss: 1.2546	LR: 0.100000
Training Epoch: 2 [5376/46250]	Loss: 1.4796	LR: 0.100000
Training Epoch: 2 [5632/46250]	Loss: 1.4146	LR: 0.100000
Training Epoch: 2 [5888/46250]	Loss: 1.2909	LR: 0.100000
Training Epoch: 2 [6144/46250]	Loss: 1.3583	LR: 0.100000
Training Epoch: 2 [6400/46250]	Loss: 1.3524	LR: 0.100000
Training Epoch: 2 [6656/46250]	Loss: 1.6569	LR: 0.100000
Training Epoch: 2 [6912/46250]	Loss: 1.3454	LR: 0.100000
Training Epoch: 2 [7168/46250]	Loss: 1.3061	LR: 0.100000
Training Epoch: 2 [7424/46250]	Loss: 1.3194	LR: 0.100000
Training Epoch: 2 [7680/46250]	Loss: 1.3707	LR: 0.100000
Training Epoch: 2 [7936/46250]	Loss: 1.2794	LR: 0.100000
Training Epoch: 2 [8192/46250]	Loss: 1.1999	LR: 0.100000
Training Epoch: 2 [8448/46250]	Loss: 1.3341	LR: 0.100000
Training Epoch: 2 [8704/46250]	Loss: 1.1725	LR: 0.100000
Training Epoch: 2 [8960/46250]	Loss: 1.3259	LR: 0.100000
Training Epoch: 2 [9216/46250]	Loss: 1.3904	LR: 0.100000
Training Epoch: 2 [9472/46250]	Loss: 1.2572	LR: 0.100000
Training Epoch: 2 [9728/46250]	Loss: 1.3567	LR: 0.100000
Training Epoch: 2 [9984/46250]	Loss: 1.1996	LR: 0.100000
Training Epoch: 2 [10240/46250]	Loss: 1.2298	LR: 0.100000
Training Epoch: 2 [10496/46250]	Loss: 1.3299	LR: 0.100000
Training Epoch: 2 [10752/46250]	Loss: 1.5924	LR: 0.100000
Training Epoch: 2 [11008/46250]	Loss: 1.4462	LR: 0.100000
Training Epoch: 2 [11264/46250]	Loss: 1.5099	LR: 0.100000
Training Epoch: 2 [11520/46250]	Loss: 1.1492	LR: 0.100000
Training Epoch: 2 [11776/46250]	Loss: 1.3110	LR: 0.100000
Training Epoch: 2 [12032/46250]	Loss: 1.2773	LR: 0.100000
Training Epoch: 2 [12288/46250]	Loss: 1.2306	LR: 0.100000
Training Epoch: 2 [12544/46250]	Loss: 1.4174	LR: 0.100000
Training Epoch: 2 [12800/46250]	Loss: 1.3109	LR: 0.100000
Training Epoch: 2 [13056/46250]	Loss: 1.3271	LR: 0.100000
Training Epoch: 2 [13312/46250]	Loss: 1.2899	LR: 0.100000
Training Epoch: 2 [13568/46250]	Loss: 1.1365	LR: 0.100000
Training Epoch: 2 [13824/46250]	Loss: 1.2157	LR: 0.100000
Training Epoch: 2 [14080/46250]	Loss: 1.5102	LR: 0.100000
Training Epoch: 2 [14336/46250]	Loss: 1.1905	LR: 0.100000
Training Epoch: 2 [14592/46250]	Loss: 1.2278	LR: 0.100000
Training Epoch: 2 [14848/46250]	Loss: 1.2545	LR: 0.100000
Training Epoch: 2 [15104/46250]	Loss: 1.3403	LR: 0.100000
Training Epoch: 2 [15360/46250]	Loss: 1.3531	LR: 0.100000
Training Epoch: 2 [15616/46250]	Loss: 1.3280	LR: 0.100000
Training Epoch: 2 [15872/46250]	Loss: 1.1688	LR: 0.100000
Training Epoch: 2 [16128/46250]	Loss: 1.3918	LR: 0.100000
Training Epoch: 2 [16384/46250]	Loss: 1.2609	LR: 0.100000
Training Epoch: 2 [16640/46250]	Loss: 1.2483	LR: 0.100000
Training Epoch: 2 [16896/46250]	Loss: 1.5336	LR: 0.100000
Training Epoch: 2 [17152/46250]	Loss: 1.2063	LR: 0.100000
Training Epoch: 2 [17408/46250]	Loss: 1.2297	LR: 0.100000
Training Epoch: 2 [17664/46250]	Loss: 1.3723	LR: 0.100000
Training Epoch: 2 [17920/46250]	Loss: 1.4289	LR: 0.100000
Training Epoch: 2 [18176/46250]	Loss: 1.2610	LR: 0.100000
Training Epoch: 2 [18432/46250]	Loss: 1.4053	LR: 0.100000
Training Epoch: 2 [18688/46250]	Loss: 1.3142	LR: 0.100000
Training Epoch: 2 [18944/46250]	Loss: 1.3002	LR: 0.100000
Training Epoch: 2 [19200/46250]	Loss: 1.3927	LR: 0.100000
Training Epoch: 2 [19456/46250]	Loss: 1.4559	LR: 0.100000
Training Epoch: 2 [19712/46250]	Loss: 1.2700	LR: 0.100000
Training Epoch: 2 [19968/46250]	Loss: 1.4089	LR: 0.100000
Training Epoch: 2 [20224/46250]	Loss: 1.1852	LR: 0.100000
Training Epoch: 2 [20480/46250]	Loss: 1.2690	LR: 0.100000
Training Epoch: 2 [20736/46250]	Loss: 1.2148	LR: 0.100000
Training Epoch: 2 [20992/46250]	Loss: 1.2347	LR: 0.100000
Training Epoch: 2 [21248/46250]	Loss: 1.1200	LR: 0.100000
Training Epoch: 2 [21504/46250]	Loss: 1.2165	LR: 0.100000
Training Epoch: 2 [21760/46250]	Loss: 1.3001	LR: 0.100000
Training Epoch: 2 [22016/46250]	Loss: 1.1749	LR: 0.100000
Training Epoch: 2 [22272/46250]	Loss: 1.1962	LR: 0.100000
Training Epoch: 2 [22528/46250]	Loss: 1.3097	LR: 0.100000
Training Epoch: 2 [22784/46250]	Loss: 1.2329	LR: 0.100000
Training Epoch: 2 [23040/46250]	Loss: 1.2504	LR: 0.100000
Training Epoch: 2 [23296/46250]	Loss: 1.2636	LR: 0.100000
Training Epoch: 2 [23552/46250]	Loss: 1.2017	LR: 0.100000
Training Epoch: 2 [23808/46250]	Loss: 1.1798	LR: 0.100000
Training Epoch: 2 [24064/46250]	Loss: 1.1007	LR: 0.100000
Training Epoch: 2 [24320/46250]	Loss: 1.1691	LR: 0.100000
Training Epoch: 2 [24576/46250]	Loss: 1.1892	LR: 0.100000
Training Epoch: 2 [24832/46250]	Loss: 1.2878	LR: 0.100000
Training Epoch: 2 [25088/46250]	Loss: 1.1549	LR: 0.100000
Training Epoch: 2 [25344/46250]	Loss: 1.1711	LR: 0.100000
Training Epoch: 2 [25600/46250]	Loss: 1.0767	LR: 0.100000
Training Epoch: 2 [25856/46250]	Loss: 1.3871	LR: 0.100000
Training Epoch: 2 [26112/46250]	Loss: 1.1943	LR: 0.100000
Training Epoch: 2 [26368/46250]	Loss: 1.0619	LR: 0.100000
Training Epoch: 2 [26624/46250]	Loss: 1.1320	LR: 0.100000
Training Epoch: 2 [26880/46250]	Loss: 1.1230	LR: 0.100000
Training Epoch: 2 [27136/46250]	Loss: 1.1775	LR: 0.100000
Training Epoch: 2 [27392/46250]	Loss: 1.0452	LR: 0.100000
Training Epoch: 2 [27648/46250]	Loss: 1.0470	LR: 0.100000
Training Epoch: 2 [27904/46250]	Loss: 1.2778	LR: 0.100000
Training Epoch: 2 [28160/46250]	Loss: 1.2606	LR: 0.100000
Training Epoch: 2 [28416/46250]	Loss: 1.1930	LR: 0.100000
Training Epoch: 2 [28672/46250]	Loss: 1.0896	LR: 0.100000
Training Epoch: 2 [28928/46250]	Loss: 1.1304	LR: 0.100000
Training Epoch: 2 [29184/46250]	Loss: 1.2126	LR: 0.100000
Training Epoch: 2 [29440/46250]	Loss: 1.1628	LR: 0.100000
Training Epoch: 2 [29696/46250]	Loss: 1.1808	LR: 0.100000
Training Epoch: 2 [29952/46250]	Loss: 1.0255	LR: 0.100000
Training Epoch: 2 [30208/46250]	Loss: 1.1370	LR: 0.100000
Training Epoch: 2 [30464/46250]	Loss: 1.0939	LR: 0.100000
Training Epoch: 2 [30720/46250]	Loss: 1.0905	LR: 0.100000
Training Epoch: 2 [30976/46250]	Loss: 1.1393	LR: 0.100000
Training Epoch: 2 [31232/46250]	Loss: 1.1568	LR: 0.100000
Training Epoch: 2 [31488/46250]	Loss: 1.0277	LR: 0.100000
Training Epoch: 2 [31744/46250]	Loss: 1.1404	LR: 0.100000
Training Epoch: 2 [32000/46250]	Loss: 1.2808	LR: 0.100000
Training Epoch: 2 [32256/46250]	Loss: 1.1210	LR: 0.100000
Training Epoch: 2 [32512/46250]	Loss: 1.1843	LR: 0.100000
Training Epoch: 2 [32768/46250]	Loss: 1.0483	LR: 0.100000
Training Epoch: 2 [33024/46250]	Loss: 1.1275	LR: 0.100000
Training Epoch: 2 [33280/46250]	Loss: 1.0384	LR: 0.100000
Training Epoch: 2 [33536/46250]	Loss: 1.1832	LR: 0.100000
Training Epoch: 2 [33792/46250]	Loss: 1.1895	LR: 0.100000
Training Epoch: 2 [34048/46250]	Loss: 1.1477	LR: 0.100000
Training Epoch: 2 [34304/46250]	Loss: 1.3529	LR: 0.100000
Training Epoch: 2 [34560/46250]	Loss: 1.0606	LR: 0.100000
Training Epoch: 2 [34816/46250]	Loss: 1.1536	LR: 0.100000
Training Epoch: 2 [35072/46250]	Loss: 1.1940	LR: 0.100000
Training Epoch: 2 [35328/46250]	Loss: 1.1146	LR: 0.100000
Training Epoch: 2 [35584/46250]	Loss: 1.1918	LR: 0.100000
Training Epoch: 2 [35840/46250]	Loss: 1.2561	LR: 0.100000
Training Epoch: 2 [36096/46250]	Loss: 1.0557	LR: 0.100000
Training Epoch: 2 [36352/46250]	Loss: 1.1450	LR: 0.100000
Training Epoch: 2 [36608/46250]	Loss: 1.1991	LR: 0.100000
Training Epoch: 2 [36864/46250]	Loss: 1.1466	LR: 0.100000
Training Epoch: 2 [37120/46250]	Loss: 1.2896	LR: 0.100000
Training Epoch: 2 [37376/46250]	Loss: 1.1710	LR: 0.100000
Training Epoch: 2 [37632/46250]	Loss: 0.9883	LR: 0.100000
Training Epoch: 2 [37888/46250]	Loss: 1.0665	LR: 0.100000
Training Epoch: 2 [38144/46250]	Loss: 1.1143	LR: 0.100000
Training Epoch: 2 [38400/46250]	Loss: 1.0349	LR: 0.100000
Training Epoch: 2 [38656/46250]	Loss: 1.1456	LR: 0.100000
Training Epoch: 2 [38912/46250]	Loss: 1.1521	LR: 0.100000
Training Epoch: 2 [39168/46250]	Loss: 1.1091	LR: 0.100000
Training Epoch: 2 [39424/46250]	Loss: 1.2134	LR: 0.100000
Training Epoch: 2 [39680/46250]	Loss: 1.0195	LR: 0.100000
Training Epoch: 2 [39936/46250]	Loss: 1.1862	LR: 0.100000
Training Epoch: 2 [40192/46250]	Loss: 1.0291	LR: 0.100000
Training Epoch: 2 [40448/46250]	Loss: 1.1836	LR: 0.100000
Training Epoch: 2 [40704/46250]	Loss: 1.0684	LR: 0.100000
Training Epoch: 2 [40960/46250]	Loss: 1.1221	LR: 0.100000
Training Epoch: 2 [41216/46250]	Loss: 0.9894	LR: 0.100000
Training Epoch: 2 [41472/46250]	Loss: 1.1773	LR: 0.100000
Training Epoch: 2 [41728/46250]	Loss: 1.2380	LR: 0.100000
Training Epoch: 2 [41984/46250]	Loss: 0.9724	LR: 0.100000
Training Epoch: 2 [42240/46250]	Loss: 1.0709	LR: 0.100000
Training Epoch: 2 [42496/46250]	Loss: 1.0376	LR: 0.100000
Training Epoch: 2 [42752/46250]	Loss: 1.0986	LR: 0.100000
Training Epoch: 2 [43008/46250]	Loss: 1.1654	LR: 0.100000
Training Epoch: 2 [43264/46250]	Loss: 1.1136	LR: 0.100000
Training Epoch: 2 [43520/46250]	Loss: 1.2505	LR: 0.100000
Training Epoch: 2 [43776/46250]	Loss: 0.9736	LR: 0.100000
Training Epoch: 2 [44032/46250]	Loss: 1.0504	LR: 0.100000
Training Epoch: 2 [44288/46250]	Loss: 1.0434	LR: 0.100000
Training Epoch: 2 [44544/46250]	Loss: 1.1273	LR: 0.100000
Training Epoch: 2 [44800/46250]	Loss: 1.0756	LR: 0.100000
Training Epoch: 2 [45056/46250]	Loss: 1.0075	LR: 0.100000
Training Epoch: 2 [45312/46250]	Loss: 0.9718	LR: 0.100000
Training Epoch: 2 [45568/46250]	Loss: 1.0965	LR: 0.100000
Training Epoch: 2 [45824/46250]	Loss: 1.0610	LR: 0.100000
Training Epoch: 2 [46080/46250]	Loss: 0.9976	LR: 0.100000
Training Epoch: 2 [46250/46250]	Loss: 1.2421	LR: 0.100000
Epoch 2 - Average Train Loss: 1.2306, Train Accuracy: 0.5567
Epoch 2 training time consumed: 27.64s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0049, Accuracy: 0.5722, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_19h_02m_22s/ResNet18-Cifar10-seed2-ret25-2-best.pth
Training Epoch: 3 [256/46250]	Loss: 1.0640	LR: 0.100000
Training Epoch: 3 [512/46250]	Loss: 0.9738	LR: 0.100000
Training Epoch: 3 [768/46250]	Loss: 1.0534	LR: 0.100000
Training Epoch: 3 [1024/46250]	Loss: 1.0709	LR: 0.100000
Training Epoch: 3 [1280/46250]	Loss: 1.1010	LR: 0.100000
Training Epoch: 3 [1536/46250]	Loss: 1.0321	LR: 0.100000
Training Epoch: 3 [1792/46250]	Loss: 0.9182	LR: 0.100000
Training Epoch: 3 [2048/46250]	Loss: 1.0248	LR: 0.100000
Training Epoch: 3 [2304/46250]	Loss: 1.0794	LR: 0.100000
Training Epoch: 3 [2560/46250]	Loss: 1.1094	LR: 0.100000
Training Epoch: 3 [2816/46250]	Loss: 0.9701	LR: 0.100000
Training Epoch: 3 [3072/46250]	Loss: 1.1291	LR: 0.100000
Training Epoch: 3 [3328/46250]	Loss: 0.9707	LR: 0.100000
Training Epoch: 3 [3584/46250]	Loss: 1.0709	LR: 0.100000
Training Epoch: 3 [3840/46250]	Loss: 0.9445	LR: 0.100000
Training Epoch: 3 [4096/46250]	Loss: 0.9951	LR: 0.100000
Training Epoch: 3 [4352/46250]	Loss: 1.1105	LR: 0.100000
Training Epoch: 3 [4608/46250]	Loss: 1.0244	LR: 0.100000
Training Epoch: 3 [4864/46250]	Loss: 1.1278	LR: 0.100000
Training Epoch: 3 [5120/46250]	Loss: 1.0113	LR: 0.100000
Training Epoch: 3 [5376/46250]	Loss: 0.9151	LR: 0.100000
Training Epoch: 3 [5632/46250]	Loss: 0.9525	LR: 0.100000
Training Epoch: 3 [5888/46250]	Loss: 0.9917	LR: 0.100000
Training Epoch: 3 [6144/46250]	Loss: 1.1001	LR: 0.100000
Training Epoch: 3 [6400/46250]	Loss: 0.9664	LR: 0.100000
Training Epoch: 3 [6656/46250]	Loss: 0.9427	LR: 0.100000
Training Epoch: 3 [6912/46250]	Loss: 0.9733	LR: 0.100000
Training Epoch: 3 [7168/46250]	Loss: 1.1826	LR: 0.100000
Training Epoch: 3 [7424/46250]	Loss: 1.0534	LR: 0.100000
Training Epoch: 3 [7680/46250]	Loss: 1.0894	LR: 0.100000
Training Epoch: 3 [7936/46250]	Loss: 1.0151	LR: 0.100000
Training Epoch: 3 [8192/46250]	Loss: 0.9519	LR: 0.100000
Training Epoch: 3 [8448/46250]	Loss: 1.0335	LR: 0.100000
Training Epoch: 3 [8704/46250]	Loss: 1.0905	LR: 0.100000
Training Epoch: 3 [8960/46250]	Loss: 0.9787	LR: 0.100000
Training Epoch: 3 [9216/46250]	Loss: 1.0323	LR: 0.100000
Training Epoch: 3 [9472/46250]	Loss: 0.9641	LR: 0.100000
Training Epoch: 3 [9728/46250]	Loss: 1.0890	LR: 0.100000
Training Epoch: 3 [9984/46250]	Loss: 1.0162	LR: 0.100000
Training Epoch: 3 [10240/46250]	Loss: 0.9808	LR: 0.100000
Training Epoch: 3 [10496/46250]	Loss: 0.9342	LR: 0.100000
Training Epoch: 3 [10752/46250]	Loss: 0.9297	LR: 0.100000
Training Epoch: 3 [11008/46250]	Loss: 0.9214	LR: 0.100000
Training Epoch: 3 [11264/46250]	Loss: 0.9911	LR: 0.100000
Training Epoch: 3 [11520/46250]	Loss: 0.9462	LR: 0.100000
Training Epoch: 3 [11776/46250]	Loss: 1.0975	LR: 0.100000
Training Epoch: 3 [12032/46250]	Loss: 0.9557	LR: 0.100000
Training Epoch: 3 [12288/46250]	Loss: 1.0949	LR: 0.100000
Training Epoch: 3 [12544/46250]	Loss: 1.1548	LR: 0.100000
Training Epoch: 3 [12800/46250]	Loss: 1.0195	LR: 0.100000
Training Epoch: 3 [13056/46250]	Loss: 1.0157	LR: 0.100000
Training Epoch: 3 [13312/46250]	Loss: 1.0042	LR: 0.100000
Training Epoch: 3 [13568/46250]	Loss: 1.1967	LR: 0.100000
Training Epoch: 3 [13824/46250]	Loss: 0.9031	LR: 0.100000
Training Epoch: 3 [14080/46250]	Loss: 1.0341	LR: 0.100000
Training Epoch: 3 [14336/46250]	Loss: 1.0007	LR: 0.100000
Training Epoch: 3 [14592/46250]	Loss: 1.0305	LR: 0.100000
Training Epoch: 3 [14848/46250]	Loss: 0.9970	LR: 0.100000
Training Epoch: 3 [15104/46250]	Loss: 0.9551	LR: 0.100000
Training Epoch: 3 [15360/46250]	Loss: 0.8692	LR: 0.100000
Training Epoch: 3 [15616/46250]	Loss: 1.2523	LR: 0.100000
Training Epoch: 3 [15872/46250]	Loss: 1.0535	LR: 0.100000
Training Epoch: 3 [16128/46250]	Loss: 0.8988	LR: 0.100000
Training Epoch: 3 [16384/46250]	Loss: 1.0673	LR: 0.100000
Training Epoch: 3 [16640/46250]	Loss: 0.9749	LR: 0.100000
Training Epoch: 3 [16896/46250]	Loss: 0.9337	LR: 0.100000
Training Epoch: 3 [17152/46250]	Loss: 0.9045	LR: 0.100000
Training Epoch: 3 [17408/46250]	Loss: 1.1984	LR: 0.100000
Training Epoch: 3 [17664/46250]	Loss: 1.0373	LR: 0.100000
Training Epoch: 3 [17920/46250]	Loss: 1.0803	LR: 0.100000
Training Epoch: 3 [18176/46250]	Loss: 0.9953	LR: 0.100000
Training Epoch: 3 [18432/46250]	Loss: 1.0044	LR: 0.100000
Training Epoch: 3 [18688/46250]	Loss: 0.9252	LR: 0.100000
Training Epoch: 3 [18944/46250]	Loss: 1.0644	LR: 0.100000
Training Epoch: 3 [19200/46250]	Loss: 1.0835	LR: 0.100000
Training Epoch: 3 [19456/46250]	Loss: 0.9435	LR: 0.100000
Training Epoch: 3 [19712/46250]	Loss: 0.9546	LR: 0.100000
Training Epoch: 3 [19968/46250]	Loss: 0.9916	LR: 0.100000
Training Epoch: 3 [20224/46250]	Loss: 1.0626	LR: 0.100000
Training Epoch: 3 [20480/46250]	Loss: 0.9797	LR: 0.100000
Training Epoch: 3 [20736/46250]	Loss: 0.8507	LR: 0.100000
Training Epoch: 3 [20992/46250]	Loss: 0.9663	LR: 0.100000
Training Epoch: 3 [21248/46250]	Loss: 1.0881	LR: 0.100000
Training Epoch: 3 [21504/46250]	Loss: 1.0227	LR: 0.100000
Training Epoch: 3 [21760/46250]	Loss: 0.9934	LR: 0.100000
Training Epoch: 3 [22016/46250]	Loss: 1.0486	LR: 0.100000
Training Epoch: 3 [22272/46250]	Loss: 1.0417	LR: 0.100000
Training Epoch: 3 [22528/46250]	Loss: 0.9199	LR: 0.100000
Training Epoch: 3 [22784/46250]	Loss: 1.0718	LR: 0.100000
Training Epoch: 3 [23040/46250]	Loss: 0.9011	LR: 0.100000
Training Epoch: 3 [23296/46250]	Loss: 0.8541	LR: 0.100000
Training Epoch: 3 [23552/46250]	Loss: 0.9625	LR: 0.100000
Training Epoch: 3 [23808/46250]	Loss: 0.8136	LR: 0.100000
Training Epoch: 3 [24064/46250]	Loss: 0.8991	LR: 0.100000
Training Epoch: 3 [24320/46250]	Loss: 1.1355	LR: 0.100000
Training Epoch: 3 [24576/46250]	Loss: 0.9771	LR: 0.100000
Training Epoch: 3 [24832/46250]	Loss: 1.0190	LR: 0.100000
Training Epoch: 3 [25088/46250]	Loss: 0.9292	LR: 0.100000
Training Epoch: 3 [25344/46250]	Loss: 0.9110	LR: 0.100000
Training Epoch: 3 [25600/46250]	Loss: 0.9460	LR: 0.100000
Training Epoch: 3 [25856/46250]	Loss: 0.9768	LR: 0.100000
Training Epoch: 3 [26112/46250]	Loss: 0.8542	LR: 0.100000
Training Epoch: 3 [26368/46250]	Loss: 0.8794	LR: 0.100000
Training Epoch: 3 [26624/46250]	Loss: 1.0422	LR: 0.100000
Training Epoch: 3 [26880/46250]	Loss: 0.8374	LR: 0.100000
Training Epoch: 3 [27136/46250]	Loss: 0.9681	LR: 0.100000
Training Epoch: 3 [27392/46250]	Loss: 0.9762	LR: 0.100000
Training Epoch: 3 [27648/46250]	Loss: 0.8921	LR: 0.100000
Training Epoch: 3 [27904/46250]	Loss: 1.0076	LR: 0.100000
Training Epoch: 3 [28160/46250]	Loss: 0.9292	LR: 0.100000
Training Epoch: 3 [28416/46250]	Loss: 0.9735	LR: 0.100000
Training Epoch: 3 [28672/46250]	Loss: 1.0667	LR: 0.100000
Training Epoch: 3 [28928/46250]	Loss: 0.9194	LR: 0.100000
Training Epoch: 3 [29184/46250]	Loss: 0.9699	LR: 0.100000
Training Epoch: 3 [29440/46250]	Loss: 0.9233	LR: 0.100000
Training Epoch: 3 [29696/46250]	Loss: 0.9109	LR: 0.100000
Training Epoch: 3 [29952/46250]	Loss: 1.0808	LR: 0.100000
Training Epoch: 3 [30208/46250]	Loss: 0.9030	LR: 0.100000
Training Epoch: 3 [30464/46250]	Loss: 0.9791	LR: 0.100000
Training Epoch: 3 [30720/46250]	Loss: 0.9489	LR: 0.100000
Training Epoch: 3 [30976/46250]	Loss: 0.9088	LR: 0.100000
Training Epoch: 3 [31232/46250]	Loss: 0.8056	LR: 0.100000
Training Epoch: 3 [31488/46250]	Loss: 0.8706	LR: 0.100000
Training Epoch: 3 [31744/46250]	Loss: 0.8787	LR: 0.100000
Training Epoch: 3 [32000/46250]	Loss: 0.8431	LR: 0.100000
Training Epoch: 3 [32256/46250]	Loss: 0.8589	LR: 0.100000
Training Epoch: 3 [32512/46250]	Loss: 0.9497	LR: 0.100000
Training Epoch: 3 [32768/46250]	Loss: 1.0263	LR: 0.100000
Training Epoch: 3 [33024/46250]	Loss: 0.7993	LR: 0.100000
Training Epoch: 3 [33280/46250]	Loss: 0.7982	LR: 0.100000
Training Epoch: 3 [33536/46250]	Loss: 1.0160	LR: 0.100000
Training Epoch: 3 [33792/46250]	Loss: 0.8559	LR: 0.100000
Training Epoch: 3 [34048/46250]	Loss: 0.9092	LR: 0.100000
Training Epoch: 3 [34304/46250]	Loss: 0.9790	LR: 0.100000
Training Epoch: 3 [34560/46250]	Loss: 1.1033	LR: 0.100000
Training Epoch: 3 [34816/46250]	Loss: 0.8893	LR: 0.100000
Training Epoch: 3 [35072/46250]	Loss: 0.9287	LR: 0.100000
Training Epoch: 3 [35328/46250]	Loss: 1.0103	LR: 0.100000
Training Epoch: 3 [35584/46250]	Loss: 0.8657	LR: 0.100000
Training Epoch: 3 [35840/46250]	Loss: 1.0202	LR: 0.100000
Training Epoch: 3 [36096/46250]	Loss: 0.8131	LR: 0.100000
Training Epoch: 3 [36352/46250]	Loss: 1.0698	LR: 0.100000
Training Epoch: 3 [36608/46250]	Loss: 0.8609	LR: 0.100000
Training Epoch: 3 [36864/46250]	Loss: 0.9442	LR: 0.100000
Training Epoch: 3 [37120/46250]	Loss: 1.0008	LR: 0.100000
Training Epoch: 3 [37376/46250]	Loss: 0.8782	LR: 0.100000
Training Epoch: 3 [37632/46250]	Loss: 0.9864	LR: 0.100000
Training Epoch: 3 [37888/46250]	Loss: 0.7658	LR: 0.100000
Training Epoch: 3 [38144/46250]	Loss: 0.7945	LR: 0.100000
Training Epoch: 3 [38400/46250]	Loss: 0.8941	LR: 0.100000
Training Epoch: 3 [38656/46250]	Loss: 0.8958	LR: 0.100000
Training Epoch: 3 [38912/46250]	Loss: 0.9977	LR: 0.100000
Training Epoch: 3 [39168/46250]	Loss: 0.9371	LR: 0.100000
Training Epoch: 3 [39424/46250]	Loss: 0.9723	LR: 0.100000
Training Epoch: 3 [39680/46250]	Loss: 0.9668	LR: 0.100000
Training Epoch: 3 [39936/46250]	Loss: 0.9896	LR: 0.100000
Training Epoch: 3 [40192/46250]	Loss: 1.0273	LR: 0.100000
Training Epoch: 3 [40448/46250]	Loss: 0.9326	LR: 0.100000
Training Epoch: 3 [40704/46250]	Loss: 0.9173	LR: 0.100000
Training Epoch: 3 [40960/46250]	Loss: 0.9953	LR: 0.100000
Training Epoch: 3 [41216/46250]	Loss: 0.8621	LR: 0.100000
Training Epoch: 3 [41472/46250]	Loss: 0.8772	LR: 0.100000
Training Epoch: 3 [41728/46250]	Loss: 1.0253	LR: 0.100000
Training Epoch: 3 [41984/46250]	Loss: 1.0025	LR: 0.100000
Training Epoch: 3 [42240/46250]	Loss: 0.9390	LR: 0.100000
Training Epoch: 3 [42496/46250]	Loss: 1.0555	LR: 0.100000
Training Epoch: 3 [42752/46250]	Loss: 0.8313	LR: 0.100000
Training Epoch: 3 [43008/46250]	Loss: 0.8693	LR: 0.100000
Training Epoch: 3 [43264/46250]	Loss: 1.0196	LR: 0.100000
Training Epoch: 3 [43520/46250]	Loss: 1.0005	LR: 0.100000
Training Epoch: 3 [43776/46250]	Loss: 0.9201	LR: 0.100000
Training Epoch: 3 [44032/46250]	Loss: 1.0151	LR: 0.100000
Training Epoch: 3 [44288/46250]	Loss: 1.0856	LR: 0.100000
Training Epoch: 3 [44544/46250]	Loss: 0.9658	LR: 0.100000
Training Epoch: 3 [44800/46250]	Loss: 0.9679	LR: 0.100000
Training Epoch: 3 [45056/46250]	Loss: 0.9252	LR: 0.100000
Training Epoch: 3 [45312/46250]	Loss: 0.8738	LR: 0.100000
Training Epoch: 3 [45568/46250]	Loss: 0.8523	LR: 0.100000
Training Epoch: 3 [45824/46250]	Loss: 0.8505	LR: 0.100000
Training Epoch: 3 [46080/46250]	Loss: 0.8418	LR: 0.100000
Training Epoch: 3 [46250/46250]	Loss: 0.8600	LR: 0.100000
Epoch 3 - Average Train Loss: 0.9756, Train Accuracy: 0.6541
Epoch 3 training time consumed: 27.68s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0040, Accuracy: 0.6693, Time consumed:0.85s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_19h_02m_22s/ResNet18-Cifar10-seed2-ret25-3-best.pth
Training Epoch: 4 [256/46250]	Loss: 0.8097	LR: 0.100000
Training Epoch: 4 [512/46250]	Loss: 0.8591	LR: 0.100000
Training Epoch: 4 [768/46250]	Loss: 0.9002	LR: 0.100000
Training Epoch: 4 [1024/46250]	Loss: 0.8703	LR: 0.100000
Training Epoch: 4 [1280/46250]	Loss: 0.8962	LR: 0.100000
Training Epoch: 4 [1536/46250]	Loss: 0.9383	LR: 0.100000
Training Epoch: 4 [1792/46250]	Loss: 0.8324	LR: 0.100000
Training Epoch: 4 [2048/46250]	Loss: 0.9385	LR: 0.100000
Training Epoch: 4 [2304/46250]	Loss: 0.8617	LR: 0.100000
Training Epoch: 4 [2560/46250]	Loss: 0.8855	LR: 0.100000
Training Epoch: 4 [2816/46250]	Loss: 0.9985	LR: 0.100000
Training Epoch: 4 [3072/46250]	Loss: 0.9305	LR: 0.100000
Training Epoch: 4 [3328/46250]	Loss: 0.9848	LR: 0.100000
Training Epoch: 4 [3584/46250]	Loss: 0.9501	LR: 0.100000
Training Epoch: 4 [3840/46250]	Loss: 0.7982	LR: 0.100000
Training Epoch: 4 [4096/46250]	Loss: 0.9412	LR: 0.100000
Training Epoch: 4 [4352/46250]	Loss: 0.7757	LR: 0.100000
Training Epoch: 4 [4608/46250]	Loss: 0.9181	LR: 0.100000
Training Epoch: 4 [4864/46250]	Loss: 0.8452	LR: 0.100000
Training Epoch: 4 [5120/46250]	Loss: 0.8391	LR: 0.100000
Training Epoch: 4 [5376/46250]	Loss: 0.8504	LR: 0.100000
Training Epoch: 4 [5632/46250]	Loss: 0.7918	LR: 0.100000
Training Epoch: 4 [5888/46250]	Loss: 0.9792	LR: 0.100000
Training Epoch: 4 [6144/46250]	Loss: 0.8666	LR: 0.100000
Training Epoch: 4 [6400/46250]	Loss: 0.7908	LR: 0.100000
Training Epoch: 4 [6656/46250]	Loss: 0.7941	LR: 0.100000
Training Epoch: 4 [6912/46250]	Loss: 0.8468	LR: 0.100000
Training Epoch: 4 [7168/46250]	Loss: 0.8335	LR: 0.100000
Training Epoch: 4 [7424/46250]	Loss: 0.7984	LR: 0.100000
Training Epoch: 4 [7680/46250]	Loss: 0.8052	LR: 0.100000
Training Epoch: 4 [7936/46250]	Loss: 0.8429	LR: 0.100000
Training Epoch: 4 [8192/46250]	Loss: 0.7688	LR: 0.100000
Training Epoch: 4 [8448/46250]	Loss: 1.0356	LR: 0.100000
Training Epoch: 4 [8704/46250]	Loss: 0.7157	LR: 0.100000
Training Epoch: 4 [8960/46250]	Loss: 0.8147	LR: 0.100000
Training Epoch: 4 [9216/46250]	Loss: 0.9062	LR: 0.100000
Training Epoch: 4 [9472/46250]	Loss: 0.7749	LR: 0.100000
Training Epoch: 4 [9728/46250]	Loss: 0.9553	LR: 0.100000
Training Epoch: 4 [9984/46250]	Loss: 0.8544	LR: 0.100000
Training Epoch: 4 [10240/46250]	Loss: 0.8166	LR: 0.100000
Training Epoch: 4 [10496/46250]	Loss: 0.7866	LR: 0.100000
Training Epoch: 4 [10752/46250]	Loss: 0.7998	LR: 0.100000
Training Epoch: 4 [11008/46250]	Loss: 0.8459	LR: 0.100000
Training Epoch: 4 [11264/46250]	Loss: 0.8780	LR: 0.100000
Training Epoch: 4 [11520/46250]	Loss: 0.8127	LR: 0.100000
Training Epoch: 4 [11776/46250]	Loss: 0.7606	LR: 0.100000
Training Epoch: 4 [12032/46250]	Loss: 0.9679	LR: 0.100000
Training Epoch: 4 [12288/46250]	Loss: 0.8049	LR: 0.100000
Training Epoch: 4 [12544/46250]	Loss: 0.7658	LR: 0.100000
Training Epoch: 4 [12800/46250]	Loss: 0.8692	LR: 0.100000
Training Epoch: 4 [13056/46250]	Loss: 0.8558	LR: 0.100000
Training Epoch: 4 [13312/46250]	Loss: 0.7980	LR: 0.100000
Training Epoch: 4 [13568/46250]	Loss: 0.9455	LR: 0.100000
Training Epoch: 4 [13824/46250]	Loss: 0.8484	LR: 0.100000
Training Epoch: 4 [14080/46250]	Loss: 0.8171	LR: 0.100000
Training Epoch: 4 [14336/46250]	Loss: 0.8291	LR: 0.100000
Training Epoch: 4 [14592/46250]	Loss: 0.8509	LR: 0.100000
Training Epoch: 4 [14848/46250]	Loss: 0.8243	LR: 0.100000
Training Epoch: 4 [15104/46250]	Loss: 0.8666	LR: 0.100000
Training Epoch: 4 [15360/46250]	Loss: 1.0011	LR: 0.100000
Training Epoch: 4 [15616/46250]	Loss: 0.9990	LR: 0.100000
Training Epoch: 4 [15872/46250]	Loss: 0.8657	LR: 0.100000
Training Epoch: 4 [16128/46250]	Loss: 0.7075	LR: 0.100000
Training Epoch: 4 [16384/46250]	Loss: 0.7886	LR: 0.100000
Training Epoch: 4 [16640/46250]	Loss: 0.8206	LR: 0.100000
Training Epoch: 4 [16896/46250]	Loss: 0.7748	LR: 0.100000
Training Epoch: 4 [17152/46250]	Loss: 1.0018	LR: 0.100000
Training Epoch: 4 [17408/46250]	Loss: 0.7949	LR: 0.100000
Training Epoch: 4 [17664/46250]	Loss: 0.8709	LR: 0.100000
Training Epoch: 4 [17920/46250]	Loss: 0.9711	LR: 0.100000
Training Epoch: 4 [18176/46250]	Loss: 0.7692	LR: 0.100000
Training Epoch: 4 [18432/46250]	Loss: 0.8484	LR: 0.100000
Training Epoch: 4 [18688/46250]	Loss: 0.7804	LR: 0.100000
Training Epoch: 4 [18944/46250]	Loss: 0.9785	LR: 0.100000
Training Epoch: 4 [19200/46250]	Loss: 0.9443	LR: 0.100000
Training Epoch: 4 [19456/46250]	Loss: 0.7218	LR: 0.100000
Training Epoch: 4 [19712/46250]	Loss: 0.7934	LR: 0.100000
Training Epoch: 4 [19968/46250]	Loss: 0.7342	LR: 0.100000
Training Epoch: 4 [20224/46250]	Loss: 0.8980	LR: 0.100000
Training Epoch: 4 [20480/46250]	Loss: 0.7476	LR: 0.100000
Training Epoch: 4 [20736/46250]	Loss: 0.8398	LR: 0.100000
Training Epoch: 4 [20992/46250]	Loss: 0.8032	LR: 0.100000
Training Epoch: 4 [21248/46250]	Loss: 0.8054	LR: 0.100000
Training Epoch: 4 [21504/46250]	Loss: 0.7939	LR: 0.100000
Training Epoch: 4 [21760/46250]	Loss: 0.8695	LR: 0.100000
Training Epoch: 4 [22016/46250]	Loss: 0.7485	LR: 0.100000
Training Epoch: 4 [22272/46250]	Loss: 1.0054	LR: 0.100000
Training Epoch: 4 [22528/46250]	Loss: 0.8497	LR: 0.100000
Training Epoch: 4 [22784/46250]	Loss: 0.8038	LR: 0.100000
Training Epoch: 4 [23040/46250]	Loss: 0.9670	LR: 0.100000
Training Epoch: 4 [23296/46250]	Loss: 0.7833	LR: 0.100000
Training Epoch: 4 [23552/46250]	Loss: 0.9165	LR: 0.100000
Training Epoch: 4 [23808/46250]	Loss: 0.8177	LR: 0.100000
Training Epoch: 4 [24064/46250]	Loss: 0.7788	LR: 0.100000
Training Epoch: 4 [24320/46250]	Loss: 0.9390	LR: 0.100000
Training Epoch: 4 [24576/46250]	Loss: 0.7304	LR: 0.100000
Training Epoch: 4 [24832/46250]	Loss: 0.8373	LR: 0.100000
Training Epoch: 4 [25088/46250]	Loss: 0.7255	LR: 0.100000
Training Epoch: 4 [25344/46250]	Loss: 0.8432	LR: 0.100000
Training Epoch: 4 [25600/46250]	Loss: 0.7316	LR: 0.100000
Training Epoch: 4 [25856/46250]	Loss: 0.7800	LR: 0.100000
Training Epoch: 4 [26112/46250]	Loss: 0.7982	LR: 0.100000
Training Epoch: 4 [26368/46250]	Loss: 0.8256	LR: 0.100000
Training Epoch: 4 [26624/46250]	Loss: 0.7697	LR: 0.100000
Training Epoch: 4 [26880/46250]	Loss: 0.6705	LR: 0.100000
Training Epoch: 4 [27136/46250]	Loss: 0.7899	LR: 0.100000
Training Epoch: 4 [27392/46250]	Loss: 0.7611	LR: 0.100000
Training Epoch: 4 [27648/46250]	Loss: 0.6372	LR: 0.100000
Training Epoch: 4 [27904/46250]	Loss: 0.6603	LR: 0.100000
Training Epoch: 4 [28160/46250]	Loss: 0.9753	LR: 0.100000
Training Epoch: 4 [28416/46250]	Loss: 0.7515	LR: 0.100000
Training Epoch: 4 [28672/46250]	Loss: 0.7807	LR: 0.100000
Training Epoch: 4 [28928/46250]	Loss: 0.8563	LR: 0.100000
Training Epoch: 4 [29184/46250]	Loss: 0.7959	LR: 0.100000
Training Epoch: 4 [29440/46250]	Loss: 0.7351	LR: 0.100000
Training Epoch: 4 [29696/46250]	Loss: 0.6332	LR: 0.100000
Training Epoch: 4 [29952/46250]	Loss: 0.6991	LR: 0.100000
Training Epoch: 4 [30208/46250]	Loss: 0.8273	LR: 0.100000
Training Epoch: 4 [30464/46250]	Loss: 0.7867	LR: 0.100000
Training Epoch: 4 [30720/46250]	Loss: 0.9525	LR: 0.100000
Training Epoch: 4 [30976/46250]	Loss: 0.8042	LR: 0.100000
Training Epoch: 4 [31232/46250]	Loss: 0.8362	LR: 0.100000
Training Epoch: 4 [31488/46250]	Loss: 0.6550	LR: 0.100000
Training Epoch: 4 [31744/46250]	Loss: 0.8668	LR: 0.100000
Training Epoch: 4 [32000/46250]	Loss: 0.8051	LR: 0.100000
Training Epoch: 4 [32256/46250]	Loss: 0.7811	LR: 0.100000
Training Epoch: 4 [32512/46250]	Loss: 0.8174	LR: 0.100000
Training Epoch: 4 [32768/46250]	Loss: 0.8783	LR: 0.100000
Training Epoch: 4 [33024/46250]	Loss: 0.9649	LR: 0.100000
Training Epoch: 4 [33280/46250]	Loss: 0.6927	LR: 0.100000
Training Epoch: 4 [33536/46250]	Loss: 0.8075	LR: 0.100000
Training Epoch: 4 [33792/46250]	Loss: 0.8581	LR: 0.100000
Training Epoch: 4 [34048/46250]	Loss: 0.8068	LR: 0.100000
Training Epoch: 4 [34304/46250]	Loss: 0.7144	LR: 0.100000
Training Epoch: 4 [34560/46250]	Loss: 0.8003	LR: 0.100000
Training Epoch: 4 [34816/46250]	Loss: 0.7860	LR: 0.100000
Training Epoch: 4 [35072/46250]	Loss: 0.8197	LR: 0.100000
Training Epoch: 4 [35328/46250]	Loss: 0.7663	LR: 0.100000
Training Epoch: 4 [35584/46250]	Loss: 0.7900	LR: 0.100000
Training Epoch: 4 [35840/46250]	Loss: 0.7907	LR: 0.100000
Training Epoch: 4 [36096/46250]	Loss: 0.8475	LR: 0.100000
Training Epoch: 4 [36352/46250]	Loss: 0.8155	LR: 0.100000
Training Epoch: 4 [36608/46250]	Loss: 0.6843	LR: 0.100000
Training Epoch: 4 [36864/46250]	Loss: 0.7302	LR: 0.100000
Training Epoch: 4 [37120/46250]	Loss: 0.7493	LR: 0.100000
Training Epoch: 4 [37376/46250]	Loss: 0.6707	LR: 0.100000
Training Epoch: 4 [37632/46250]	Loss: 0.8138	LR: 0.100000
Training Epoch: 4 [37888/46250]	Loss: 0.8556	LR: 0.100000
Training Epoch: 4 [38144/46250]	Loss: 0.7923	LR: 0.100000
Training Epoch: 4 [38400/46250]	Loss: 0.7211	LR: 0.100000
Training Epoch: 4 [38656/46250]	Loss: 0.7125	LR: 0.100000
Training Epoch: 4 [38912/46250]	Loss: 0.8021	LR: 0.100000
Training Epoch: 4 [39168/46250]	Loss: 0.7345	LR: 0.100000
Training Epoch: 4 [39424/46250]	Loss: 0.8377	LR: 0.100000
Training Epoch: 4 [39680/46250]	Loss: 0.7089	LR: 0.100000
Training Epoch: 4 [39936/46250]	Loss: 0.8351	LR: 0.100000
Training Epoch: 4 [40192/46250]	Loss: 0.8624	LR: 0.100000
Training Epoch: 4 [40448/46250]	Loss: 0.7961	LR: 0.100000
Training Epoch: 4 [40704/46250]	Loss: 0.7025	LR: 0.100000
Training Epoch: 4 [40960/46250]	Loss: 0.7559	LR: 0.100000
Training Epoch: 4 [41216/46250]	Loss: 0.7369	LR: 0.100000
Training Epoch: 4 [41472/46250]	Loss: 0.8293	LR: 0.100000
Training Epoch: 4 [41728/46250]	Loss: 0.8484	LR: 0.100000
Training Epoch: 4 [41984/46250]	Loss: 0.8396	LR: 0.100000
Training Epoch: 4 [42240/46250]	Loss: 0.9429	LR: 0.100000
Training Epoch: 4 [42496/46250]	Loss: 0.8101	LR: 0.100000
Training Epoch: 4 [42752/46250]	Loss: 0.8329	LR: 0.100000
Training Epoch: 4 [43008/46250]	Loss: 0.7860	LR: 0.100000
Training Epoch: 4 [43264/46250]	Loss: 0.7880	LR: 0.100000
Training Epoch: 4 [43520/46250]	Loss: 0.7206	LR: 0.100000
Training Epoch: 4 [43776/46250]	Loss: 0.7376	LR: 0.100000
Training Epoch: 4 [44032/46250]	Loss: 0.7523	LR: 0.100000
Training Epoch: 4 [44288/46250]	Loss: 0.7428	LR: 0.100000
Training Epoch: 4 [44544/46250]	Loss: 0.8898	LR: 0.100000
Training Epoch: 4 [44800/46250]	Loss: 0.7459	LR: 0.100000
Training Epoch: 4 [45056/46250]	Loss: 0.7666	LR: 0.100000
Training Epoch: 4 [45312/46250]	Loss: 0.6559	LR: 0.100000
Training Epoch: 4 [45568/46250]	Loss: 0.6932	LR: 0.100000
Training Epoch: 4 [45824/46250]	Loss: 0.7899	LR: 0.100000
Training Epoch: 4 [46080/46250]	Loss: 0.8418	LR: 0.100000
Training Epoch: 4 [46250/46250]	Loss: 0.7863	LR: 0.100000
Epoch 4 - Average Train Loss: 0.8202, Train Accuracy: 0.7111
Epoch 4 training time consumed: 27.70s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0032, Accuracy: 0.7254, Time consumed:0.86s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_19h_02m_22s/ResNet18-Cifar10-seed2-ret25-4-best.pth
Training Epoch: 5 [256/46250]	Loss: 0.7329	LR: 0.100000
Training Epoch: 5 [512/46250]	Loss: 0.6445	LR: 0.100000
Training Epoch: 5 [768/46250]	Loss: 0.7006	LR: 0.100000
Training Epoch: 5 [1024/46250]	Loss: 0.7378	LR: 0.100000
Training Epoch: 5 [1280/46250]	Loss: 0.7160	LR: 0.100000
Training Epoch: 5 [1536/46250]	Loss: 0.8716	LR: 0.100000
Training Epoch: 5 [1792/46250]	Loss: 0.9220	LR: 0.100000
Training Epoch: 5 [2048/46250]	Loss: 0.8367	LR: 0.100000
Training Epoch: 5 [2304/46250]	Loss: 0.6767	LR: 0.100000
Training Epoch: 5 [2560/46250]	Loss: 0.9029	LR: 0.100000
Training Epoch: 5 [2816/46250]	Loss: 0.8087	LR: 0.100000
Training Epoch: 5 [3072/46250]	Loss: 0.6893	LR: 0.100000
Training Epoch: 5 [3328/46250]	Loss: 0.7481	LR: 0.100000
Training Epoch: 5 [3584/46250]	Loss: 0.7926	LR: 0.100000
Training Epoch: 5 [3840/46250]	Loss: 0.7051	LR: 0.100000
Training Epoch: 5 [4096/46250]	Loss: 0.8028	LR: 0.100000
Training Epoch: 5 [4352/46250]	Loss: 0.7711	LR: 0.100000
Training Epoch: 5 [4608/46250]	Loss: 0.8959	LR: 0.100000
Training Epoch: 5 [4864/46250]	Loss: 0.7722	LR: 0.100000
Training Epoch: 5 [5120/46250]	Loss: 0.8022	LR: 0.100000
Training Epoch: 5 [5376/46250]	Loss: 0.6858	LR: 0.100000
Training Epoch: 5 [5632/46250]	Loss: 0.7131	LR: 0.100000
Training Epoch: 5 [5888/46250]	Loss: 0.8149	LR: 0.100000
Training Epoch: 5 [6144/46250]	Loss: 0.7955	LR: 0.100000
Training Epoch: 5 [6400/46250]	Loss: 0.6954	LR: 0.100000
Training Epoch: 5 [6656/46250]	Loss: 0.6571	LR: 0.100000
Training Epoch: 5 [6912/46250]	Loss: 0.7114	LR: 0.100000
Training Epoch: 5 [7168/46250]	Loss: 0.6773	LR: 0.100000
Training Epoch: 5 [7424/46250]	Loss: 0.8516	LR: 0.100000
Training Epoch: 5 [7680/46250]	Loss: 0.6921	LR: 0.100000
Training Epoch: 5 [7936/46250]	Loss: 0.7857	LR: 0.100000
Training Epoch: 5 [8192/46250]	Loss: 0.7123	LR: 0.100000
Training Epoch: 5 [8448/46250]	Loss: 0.8029	LR: 0.100000
Training Epoch: 5 [8704/46250]	Loss: 0.8359	LR: 0.100000
Training Epoch: 5 [8960/46250]	Loss: 0.6680	LR: 0.100000
Training Epoch: 5 [9216/46250]	Loss: 0.8231	LR: 0.100000
Training Epoch: 5 [9472/46250]	Loss: 0.7471	LR: 0.100000
Training Epoch: 5 [9728/46250]	Loss: 0.8112	LR: 0.100000
Training Epoch: 5 [9984/46250]	Loss: 0.7831	LR: 0.100000
Training Epoch: 5 [10240/46250]	Loss: 0.9368	LR: 0.100000
Training Epoch: 5 [10496/46250]	Loss: 0.8039	LR: 0.100000
Training Epoch: 5 [10752/46250]	Loss: 0.7985	LR: 0.100000
Training Epoch: 5 [11008/46250]	Loss: 0.6866	LR: 0.100000
Training Epoch: 5 [11264/46250]	Loss: 0.7069	LR: 0.100000
Training Epoch: 5 [11520/46250]	Loss: 0.8937	LR: 0.100000
Training Epoch: 5 [11776/46250]	Loss: 0.8578	LR: 0.100000
Training Epoch: 5 [12032/46250]	Loss: 0.7561	LR: 0.100000
Training Epoch: 5 [12288/46250]	Loss: 0.6885	LR: 0.100000
Training Epoch: 5 [12544/46250]	Loss: 0.6518	LR: 0.100000
Training Epoch: 5 [12800/46250]	Loss: 0.7373	LR: 0.100000
Training Epoch: 5 [13056/46250]	Loss: 0.6912	LR: 0.100000
Training Epoch: 5 [13312/46250]	Loss: 0.7824	LR: 0.100000
Training Epoch: 5 [13568/46250]	Loss: 0.7779	LR: 0.100000
Training Epoch: 5 [13824/46250]	Loss: 0.7508	LR: 0.100000
Training Epoch: 5 [14080/46250]	Loss: 0.7876	LR: 0.100000
Training Epoch: 5 [14336/46250]	Loss: 0.6432	LR: 0.100000
Training Epoch: 5 [14592/46250]	Loss: 0.6455	LR: 0.100000
Training Epoch: 5 [14848/46250]	Loss: 0.7256	LR: 0.100000
Training Epoch: 5 [15104/46250]	Loss: 0.6897	LR: 0.100000
Training Epoch: 5 [15360/46250]	Loss: 0.6828	LR: 0.100000
Training Epoch: 5 [15616/46250]	Loss: 0.7606	LR: 0.100000
Training Epoch: 5 [15872/46250]	Loss: 0.7410	LR: 0.100000
Training Epoch: 5 [16128/46250]	Loss: 0.7146	LR: 0.100000
Training Epoch: 5 [16384/46250]	Loss: 0.8421	LR: 0.100000
Training Epoch: 5 [16640/46250]	Loss: 0.7877	LR: 0.100000
Training Epoch: 5 [16896/46250]	Loss: 0.8125	LR: 0.100000
Training Epoch: 5 [17152/46250]	Loss: 0.7408	LR: 0.100000
Training Epoch: 5 [17408/46250]	Loss: 0.7508	LR: 0.100000
Training Epoch: 5 [17664/46250]	Loss: 0.8313	LR: 0.100000
Training Epoch: 5 [17920/46250]	Loss: 0.6545	LR: 0.100000
Training Epoch: 5 [18176/46250]	Loss: 0.6973	LR: 0.100000
Training Epoch: 5 [18432/46250]	Loss: 0.7020	LR: 0.100000
Training Epoch: 5 [18688/46250]	Loss: 0.7172	LR: 0.100000
Training Epoch: 5 [18944/46250]	Loss: 0.6469	LR: 0.100000
Training Epoch: 5 [19200/46250]	Loss: 0.6940	LR: 0.100000
Training Epoch: 5 [19456/46250]	Loss: 0.7254	LR: 0.100000
Training Epoch: 5 [19712/46250]	Loss: 0.6971	LR: 0.100000
Training Epoch: 5 [19968/46250]	Loss: 0.6072	LR: 0.100000
Training Epoch: 5 [20224/46250]	Loss: 0.7018	LR: 0.100000
Training Epoch: 5 [20480/46250]	Loss: 0.6584	LR: 0.100000
Training Epoch: 5 [20736/46250]	Loss: 0.6895	LR: 0.100000
Training Epoch: 5 [20992/46250]	Loss: 0.6917	LR: 0.100000
Training Epoch: 5 [21248/46250]	Loss: 0.8592	LR: 0.100000
Training Epoch: 5 [21504/46250]	Loss: 0.7479	LR: 0.100000
Training Epoch: 5 [21760/46250]	Loss: 0.7386	LR: 0.100000
Training Epoch: 5 [22016/46250]	Loss: 0.7178	LR: 0.100000
Training Epoch: 5 [22272/46250]	Loss: 0.7247	LR: 0.100000
Training Epoch: 5 [22528/46250]	Loss: 0.7048	LR: 0.100000
Training Epoch: 5 [22784/46250]	Loss: 0.6347	LR: 0.100000
Training Epoch: 5 [23040/46250]	Loss: 0.6744	LR: 0.100000
Training Epoch: 5 [23296/46250]	Loss: 0.6060	LR: 0.100000
Training Epoch: 5 [23552/46250]	Loss: 0.8384	LR: 0.100000
Training Epoch: 5 [23808/46250]	Loss: 0.7739	LR: 0.100000
Training Epoch: 5 [24064/46250]	Loss: 0.7719	LR: 0.100000
Training Epoch: 5 [24320/46250]	Loss: 0.7968	LR: 0.100000
Training Epoch: 5 [24576/46250]	Loss: 0.6896	LR: 0.100000
Training Epoch: 5 [24832/46250]	Loss: 0.7405	LR: 0.100000
Training Epoch: 5 [25088/46250]	Loss: 0.8839	LR: 0.100000
Training Epoch: 5 [25344/46250]	Loss: 0.7504	LR: 0.100000
Training Epoch: 5 [25600/46250]	Loss: 0.7776	LR: 0.100000
Training Epoch: 5 [25856/46250]	Loss: 0.7858	LR: 0.100000
Training Epoch: 5 [26112/46250]	Loss: 0.6655	LR: 0.100000
Training Epoch: 5 [26368/46250]	Loss: 0.8934	LR: 0.100000
Training Epoch: 5 [26624/46250]	Loss: 0.8259	LR: 0.100000
Training Epoch: 5 [26880/46250]	Loss: 0.7878	LR: 0.100000
Training Epoch: 5 [27136/46250]	Loss: 0.5703	LR: 0.100000
Training Epoch: 5 [27392/46250]	Loss: 0.7871	LR: 0.100000
Training Epoch: 5 [27648/46250]	Loss: 0.8015	LR: 0.100000
Training Epoch: 5 [27904/46250]	Loss: 0.7367	LR: 0.100000
Training Epoch: 5 [28160/46250]	Loss: 0.6562	LR: 0.100000
Training Epoch: 5 [28416/46250]	Loss: 0.6394	LR: 0.100000
Training Epoch: 5 [28672/46250]	Loss: 0.6742	LR: 0.100000
Training Epoch: 5 [28928/46250]	Loss: 0.6410	LR: 0.100000
Training Epoch: 5 [29184/46250]	Loss: 0.6530	LR: 0.100000
Training Epoch: 5 [29440/46250]	Loss: 0.6812	LR: 0.100000
Training Epoch: 5 [29696/46250]	Loss: 0.6452	LR: 0.100000
Training Epoch: 5 [29952/46250]	Loss: 0.6068	LR: 0.100000
Training Epoch: 5 [30208/46250]	Loss: 0.7549	LR: 0.100000
Training Epoch: 5 [30464/46250]	Loss: 0.8010	LR: 0.100000
Training Epoch: 5 [30720/46250]	Loss: 0.7156	LR: 0.100000
Training Epoch: 5 [30976/46250]	Loss: 0.6655	LR: 0.100000
Training Epoch: 5 [31232/46250]	Loss: 0.7177	LR: 0.100000
Training Epoch: 5 [31488/46250]	Loss: 0.6766	LR: 0.100000
Training Epoch: 5 [31744/46250]	Loss: 0.6056	LR: 0.100000
Training Epoch: 5 [32000/46250]	Loss: 0.6078	LR: 0.100000
Training Epoch: 5 [32256/46250]	Loss: 0.6704	LR: 0.100000
Training Epoch: 5 [32512/46250]	Loss: 0.7163	LR: 0.100000
Training Epoch: 5 [32768/46250]	Loss: 0.6894	LR: 0.100000
Training Epoch: 5 [33024/46250]	Loss: 0.6933	LR: 0.100000
Training Epoch: 5 [33280/46250]	Loss: 0.6560	LR: 0.100000
Training Epoch: 5 [33536/46250]	Loss: 0.6986	LR: 0.100000
Training Epoch: 5 [33792/46250]	Loss: 0.6980	LR: 0.100000
Training Epoch: 5 [34048/46250]	Loss: 0.7554	LR: 0.100000
Training Epoch: 5 [34304/46250]	Loss: 0.6679	LR: 0.100000
Training Epoch: 5 [34560/46250]	Loss: 0.7232	LR: 0.100000
Training Epoch: 5 [34816/46250]	Loss: 0.6160	LR: 0.100000
Training Epoch: 5 [35072/46250]	Loss: 0.7562	LR: 0.100000
Training Epoch: 5 [35328/46250]	Loss: 0.6967	LR: 0.100000
Training Epoch: 5 [35584/46250]	Loss: 0.6758	LR: 0.100000
Training Epoch: 5 [35840/46250]	Loss: 0.7727	LR: 0.100000
Training Epoch: 5 [36096/46250]	Loss: 0.7097	LR: 0.100000
Training Epoch: 5 [36352/46250]	Loss: 0.7799	LR: 0.100000
Training Epoch: 5 [36608/46250]	Loss: 0.7389	LR: 0.100000
Training Epoch: 5 [36864/46250]	Loss: 0.7285	LR: 0.100000
Training Epoch: 5 [37120/46250]	Loss: 0.6670	LR: 0.100000
Training Epoch: 5 [37376/46250]	Loss: 0.6433	LR: 0.100000
Training Epoch: 5 [37632/46250]	Loss: 0.5958	LR: 0.100000
Training Epoch: 5 [37888/46250]	Loss: 0.7274	LR: 0.100000
Training Epoch: 5 [38144/46250]	Loss: 0.6290	LR: 0.100000
Training Epoch: 5 [38400/46250]	Loss: 0.7119	LR: 0.100000
Training Epoch: 5 [38656/46250]	Loss: 0.8094	LR: 0.100000
Training Epoch: 5 [38912/46250]	Loss: 0.7294	LR: 0.100000
Training Epoch: 5 [39168/46250]	Loss: 0.7852	LR: 0.100000
Training Epoch: 5 [39424/46250]	Loss: 0.5947	LR: 0.100000
Training Epoch: 5 [39680/46250]	Loss: 0.7017	LR: 0.100000
Training Epoch: 5 [39936/46250]	Loss: 0.7191	LR: 0.100000
Training Epoch: 5 [40192/46250]	Loss: 0.7845	LR: 0.100000
Training Epoch: 5 [40448/46250]	Loss: 0.5936	LR: 0.100000
Training Epoch: 5 [40704/46250]	Loss: 0.8062	LR: 0.100000
Training Epoch: 5 [40960/46250]	Loss: 0.6209	LR: 0.100000
Training Epoch: 5 [41216/46250]	Loss: 0.7358	LR: 0.100000
Training Epoch: 5 [41472/46250]	Loss: 0.6972	LR: 0.100000
Training Epoch: 5 [41728/46250]	Loss: 0.8417	LR: 0.100000
Training Epoch: 5 [41984/46250]	Loss: 0.7200	LR: 0.100000
Training Epoch: 5 [42240/46250]	Loss: 0.6452	LR: 0.100000
Training Epoch: 5 [42496/46250]	Loss: 0.6754	LR: 0.100000
Training Epoch: 5 [42752/46250]	Loss: 0.7470	LR: 0.100000
Training Epoch: 5 [43008/46250]	Loss: 0.6592	LR: 0.100000
Training Epoch: 5 [43264/46250]	Loss: 0.6616	LR: 0.100000
Training Epoch: 5 [43520/46250]	Loss: 0.7283	LR: 0.100000
Training Epoch: 5 [43776/46250]	Loss: 0.7887	LR: 0.100000
Training Epoch: 5 [44032/46250]	Loss: 0.7621	LR: 0.100000
Training Epoch: 5 [44288/46250]	Loss: 0.7194	LR: 0.100000
Training Epoch: 5 [44544/46250]	Loss: 0.5722	LR: 0.100000
Training Epoch: 5 [44800/46250]	Loss: 0.6524	LR: 0.100000
Training Epoch: 5 [45056/46250]	Loss: 0.6990	LR: 0.100000
Training Epoch: 5 [45312/46250]	Loss: 0.7072	LR: 0.100000
Training Epoch: 5 [45568/46250]	Loss: 0.6873	LR: 0.100000
Training Epoch: 5 [45824/46250]	Loss: 0.8460	LR: 0.100000
Training Epoch: 5 [46080/46250]	Loss: 0.7226	LR: 0.100000
Training Epoch: 5 [46250/46250]	Loss: 0.6256	LR: 0.100000
Epoch 5 - Average Train Loss: 0.7286, Train Accuracy: 0.7474
Epoch 5 training time consumed: 27.58s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0029, Accuracy: 0.7542, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_19h_02m_22s/ResNet18-Cifar10-seed2-ret25-5-best.pth
Training Epoch: 6 [256/46250]	Loss: 0.6979	LR: 0.100000
Training Epoch: 6 [512/46250]	Loss: 0.6645	LR: 0.100000
Training Epoch: 6 [768/46250]	Loss: 0.6866	LR: 0.100000
Training Epoch: 6 [1024/46250]	Loss: 0.7614	LR: 0.100000
Training Epoch: 6 [1280/46250]	Loss: 0.5423	LR: 0.100000
Training Epoch: 6 [1536/46250]	Loss: 0.6614	LR: 0.100000
Training Epoch: 6 [1792/46250]	Loss: 0.7367	LR: 0.100000
Training Epoch: 6 [2048/46250]	Loss: 0.6664	LR: 0.100000
Training Epoch: 6 [2304/46250]	Loss: 0.6033	LR: 0.100000
Training Epoch: 6 [2560/46250]	Loss: 0.6856	LR: 0.100000
Training Epoch: 6 [2816/46250]	Loss: 0.6510	LR: 0.100000
Training Epoch: 6 [3072/46250]	Loss: 0.7539	LR: 0.100000
Training Epoch: 6 [3328/46250]	Loss: 0.7663	LR: 0.100000
Training Epoch: 6 [3584/46250]	Loss: 0.7040	LR: 0.100000
Training Epoch: 6 [3840/46250]	Loss: 0.7759	LR: 0.100000
Training Epoch: 6 [4096/46250]	Loss: 0.7572	LR: 0.100000
Training Epoch: 6 [4352/46250]	Loss: 0.6862	LR: 0.100000
Training Epoch: 6 [4608/46250]	Loss: 0.7581	LR: 0.100000
Training Epoch: 6 [4864/46250]	Loss: 0.6389	LR: 0.100000
Training Epoch: 6 [5120/46250]	Loss: 0.6840	LR: 0.100000
Training Epoch: 6 [5376/46250]	Loss: 0.7220	LR: 0.100000
Training Epoch: 6 [5632/46250]	Loss: 0.7263	LR: 0.100000
Training Epoch: 6 [5888/46250]	Loss: 0.6301	LR: 0.100000
Training Epoch: 6 [6144/46250]	Loss: 0.6944	LR: 0.100000
Training Epoch: 6 [6400/46250]	Loss: 0.7799	LR: 0.100000
Training Epoch: 6 [6656/46250]	Loss: 0.6636	LR: 0.100000
Training Epoch: 6 [6912/46250]	Loss: 0.5980	LR: 0.100000
Training Epoch: 6 [7168/46250]	Loss: 0.6914	LR: 0.100000
Training Epoch: 6 [7424/46250]	Loss: 0.5413	LR: 0.100000
Training Epoch: 6 [7680/46250]	Loss: 0.7009	LR: 0.100000
Training Epoch: 6 [7936/46250]	Loss: 0.6296	LR: 0.100000
Training Epoch: 6 [8192/46250]	Loss: 0.6758	LR: 0.100000
Training Epoch: 6 [8448/46250]	Loss: 0.5568	LR: 0.100000
Training Epoch: 6 [8704/46250]	Loss: 0.7167	LR: 0.100000
Training Epoch: 6 [8960/46250]	Loss: 0.6815	LR: 0.100000
Training Epoch: 6 [9216/46250]	Loss: 0.5305	LR: 0.100000
Training Epoch: 6 [9472/46250]	Loss: 0.6589	LR: 0.100000
Training Epoch: 6 [9728/46250]	Loss: 0.6839	LR: 0.100000
Training Epoch: 6 [9984/46250]	Loss: 0.6903	LR: 0.100000
Training Epoch: 6 [10240/46250]	Loss: 0.7431	LR: 0.100000
Training Epoch: 6 [10496/46250]	Loss: 0.5891	LR: 0.100000
Training Epoch: 6 [10752/46250]	Loss: 0.7043	LR: 0.100000
Training Epoch: 6 [11008/46250]	Loss: 0.7989	LR: 0.100000
Training Epoch: 6 [11264/46250]	Loss: 0.6280	LR: 0.100000
Training Epoch: 6 [11520/46250]	Loss: 0.7230	LR: 0.100000
Training Epoch: 6 [11776/46250]	Loss: 0.6258	LR: 0.100000
Training Epoch: 6 [12032/46250]	Loss: 0.6508	LR: 0.100000
Training Epoch: 6 [12288/46250]	Loss: 0.6819	LR: 0.100000
Training Epoch: 6 [12544/46250]	Loss: 0.6463	LR: 0.100000
Training Epoch: 6 [12800/46250]	Loss: 0.6037	LR: 0.100000
Training Epoch: 6 [13056/46250]	Loss: 0.7680	LR: 0.100000
Training Epoch: 6 [13312/46250]	Loss: 0.5925	LR: 0.100000
Training Epoch: 6 [13568/46250]	Loss: 0.6621	LR: 0.100000
Training Epoch: 6 [13824/46250]	Loss: 0.6466	LR: 0.100000
Training Epoch: 6 [14080/46250]	Loss: 0.6145	LR: 0.100000
Training Epoch: 6 [14336/46250]	Loss: 0.7034	LR: 0.100000
Training Epoch: 6 [14592/46250]	Loss: 0.5975	LR: 0.100000
Training Epoch: 6 [14848/46250]	Loss: 0.6477	LR: 0.100000
Training Epoch: 6 [15104/46250]	Loss: 0.6808	LR: 0.100000
Training Epoch: 6 [15360/46250]	Loss: 0.5636	LR: 0.100000
Training Epoch: 6 [15616/46250]	Loss: 0.6191	LR: 0.100000
Training Epoch: 6 [15872/46250]	Loss: 0.6139	LR: 0.100000
Training Epoch: 6 [16128/46250]	Loss: 0.6746	LR: 0.100000
Training Epoch: 6 [16384/46250]	Loss: 0.6141	LR: 0.100000
Training Epoch: 6 [16640/46250]	Loss: 0.6680	LR: 0.100000
Training Epoch: 6 [16896/46250]	Loss: 0.6467	LR: 0.100000
Training Epoch: 6 [17152/46250]	Loss: 0.6816	LR: 0.100000
Training Epoch: 6 [17408/46250]	Loss: 0.6191	LR: 0.100000
Training Epoch: 6 [17664/46250]	Loss: 0.7079	LR: 0.100000
Training Epoch: 6 [17920/46250]	Loss: 0.6637	LR: 0.100000
Training Epoch: 6 [18176/46250]	Loss: 0.5854	LR: 0.100000
Training Epoch: 6 [18432/46250]	Loss: 0.7027	LR: 0.100000
Training Epoch: 6 [18688/46250]	Loss: 0.5375	LR: 0.100000
Training Epoch: 6 [18944/46250]	Loss: 0.4987	LR: 0.100000
Training Epoch: 6 [19200/46250]	Loss: 0.6786	LR: 0.100000
Training Epoch: 6 [19456/46250]	Loss: 0.7012	LR: 0.100000
Training Epoch: 6 [19712/46250]	Loss: 0.5928	LR: 0.100000
Training Epoch: 6 [19968/46250]	Loss: 0.8193	LR: 0.100000
Training Epoch: 6 [20224/46250]	Loss: 0.6257	LR: 0.100000
Training Epoch: 6 [20480/46250]	Loss: 0.6264	LR: 0.100000
Training Epoch: 6 [20736/46250]	Loss: 0.6945	LR: 0.100000
Training Epoch: 6 [20992/46250]	Loss: 0.6978	LR: 0.100000
Training Epoch: 6 [21248/46250]	Loss: 0.6048	LR: 0.100000
Training Epoch: 6 [21504/46250]	Loss: 0.6728	LR: 0.100000
Training Epoch: 6 [21760/46250]	Loss: 0.6501	LR: 0.100000
Training Epoch: 6 [22016/46250]	Loss: 0.6966	LR: 0.100000
Training Epoch: 6 [22272/46250]	Loss: 0.6599	LR: 0.100000
Training Epoch: 6 [22528/46250]	Loss: 0.6765	LR: 0.100000
Training Epoch: 6 [22784/46250]	Loss: 0.6595	LR: 0.100000
Training Epoch: 6 [23040/46250]	Loss: 0.7124	LR: 0.100000
Training Epoch: 6 [23296/46250]	Loss: 0.7138	LR: 0.100000
Training Epoch: 6 [23552/46250]	Loss: 0.7265	LR: 0.100000
Training Epoch: 6 [23808/46250]	Loss: 0.7130	LR: 0.100000
Training Epoch: 6 [24064/46250]	Loss: 0.6044	LR: 0.100000
Training Epoch: 6 [24320/46250]	Loss: 0.6278	LR: 0.100000
Training Epoch: 6 [24576/46250]	Loss: 0.6472	LR: 0.100000
Training Epoch: 6 [24832/46250]	Loss: 0.6594	LR: 0.100000
Training Epoch: 6 [25088/46250]	Loss: 0.6371	LR: 0.100000
Training Epoch: 6 [25344/46250]	Loss: 0.7349	LR: 0.100000
Training Epoch: 6 [25600/46250]	Loss: 0.6516	LR: 0.100000
Training Epoch: 6 [25856/46250]	Loss: 0.6108	LR: 0.100000
Training Epoch: 6 [26112/46250]	Loss: 0.7307	LR: 0.100000
Training Epoch: 6 [26368/46250]	Loss: 0.5851	LR: 0.100000
Training Epoch: 6 [26624/46250]	Loss: 0.5914	LR: 0.100000
Training Epoch: 6 [26880/46250]	Loss: 0.5749	LR: 0.100000
Training Epoch: 6 [27136/46250]	Loss: 0.5686	LR: 0.100000
Training Epoch: 6 [27392/46250]	Loss: 0.6093	LR: 0.100000
Training Epoch: 6 [27648/46250]	Loss: 0.7241	LR: 0.100000
Training Epoch: 6 [27904/46250]	Loss: 0.6019	LR: 0.100000
Training Epoch: 6 [28160/46250]	Loss: 0.6878	LR: 0.100000
Training Epoch: 6 [28416/46250]	Loss: 0.6271	LR: 0.100000
Training Epoch: 6 [28672/46250]	Loss: 0.7398	LR: 0.100000
Training Epoch: 6 [28928/46250]	Loss: 0.7017	LR: 0.100000
Training Epoch: 6 [29184/46250]	Loss: 0.6036	LR: 0.100000
Training Epoch: 6 [29440/46250]	Loss: 0.5803	LR: 0.100000
Training Epoch: 6 [29696/46250]	Loss: 0.5558	LR: 0.100000
Training Epoch: 6 [29952/46250]	Loss: 0.5751	LR: 0.100000
Training Epoch: 6 [30208/46250]	Loss: 0.6032	LR: 0.100000
Training Epoch: 6 [30464/46250]	Loss: 0.6550	LR: 0.100000
Training Epoch: 6 [30720/46250]	Loss: 0.6870	LR: 0.100000
Training Epoch: 6 [30976/46250]	Loss: 0.6789	LR: 0.100000
Training Epoch: 6 [31232/46250]	Loss: 0.6244	LR: 0.100000
Training Epoch: 6 [31488/46250]	Loss: 0.6307	LR: 0.100000
Training Epoch: 6 [31744/46250]	Loss: 0.5285	LR: 0.100000
Training Epoch: 6 [32000/46250]	Loss: 0.7344	LR: 0.100000
Training Epoch: 6 [32256/46250]	Loss: 0.7136	LR: 0.100000
Training Epoch: 6 [32512/46250]	Loss: 0.6880	LR: 0.100000
Training Epoch: 6 [32768/46250]	Loss: 0.5459	LR: 0.100000
Training Epoch: 6 [33024/46250]	Loss: 0.7115	LR: 0.100000
Training Epoch: 6 [33280/46250]	Loss: 0.6174	LR: 0.100000
Training Epoch: 6 [33536/46250]	Loss: 0.6571	LR: 0.100000
Training Epoch: 6 [33792/46250]	Loss: 0.7007	LR: 0.100000
Training Epoch: 6 [34048/46250]	Loss: 0.6865	LR: 0.100000
Training Epoch: 6 [34304/46250]	Loss: 0.6354	LR: 0.100000
Training Epoch: 6 [34560/46250]	Loss: 0.5451	LR: 0.100000
Training Epoch: 6 [34816/46250]	Loss: 0.6911	LR: 0.100000
Training Epoch: 6 [35072/46250]	Loss: 0.8104	LR: 0.100000
Training Epoch: 6 [35328/46250]	Loss: 0.6655	LR: 0.100000
Training Epoch: 6 [35584/46250]	Loss: 0.6507	LR: 0.100000
Training Epoch: 6 [35840/46250]	Loss: 0.7320	LR: 0.100000
Training Epoch: 6 [36096/46250]	Loss: 0.6660	LR: 0.100000
Training Epoch: 6 [36352/46250]	Loss: 0.6592	LR: 0.100000
Training Epoch: 6 [36608/46250]	Loss: 0.5932	LR: 0.100000
Training Epoch: 6 [36864/46250]	Loss: 0.6271	LR: 0.100000
Training Epoch: 6 [37120/46250]	Loss: 0.6243	LR: 0.100000
Training Epoch: 6 [37376/46250]	Loss: 0.6936	LR: 0.100000
Training Epoch: 6 [37632/46250]	Loss: 0.5995	LR: 0.100000
Training Epoch: 6 [37888/46250]	Loss: 0.6558	LR: 0.100000
Training Epoch: 6 [38144/46250]	Loss: 0.6391	LR: 0.100000
Training Epoch: 6 [38400/46250]	Loss: 0.5155	LR: 0.100000
Training Epoch: 6 [38656/46250]	Loss: 0.6849	LR: 0.100000
Training Epoch: 6 [38912/46250]	Loss: 0.7031	LR: 0.100000
Training Epoch: 6 [39168/46250]	Loss: 0.6724	LR: 0.100000
Training Epoch: 6 [39424/46250]	Loss: 0.5473	LR: 0.100000
Training Epoch: 6 [39680/46250]	Loss: 0.6632	LR: 0.100000
Training Epoch: 6 [39936/46250]	Loss: 0.6418	LR: 0.100000
Training Epoch: 6 [40192/46250]	Loss: 0.5960	LR: 0.100000
Training Epoch: 6 [40448/46250]	Loss: 0.6545	LR: 0.100000
Training Epoch: 6 [40704/46250]	Loss: 0.5828	LR: 0.100000
Training Epoch: 6 [40960/46250]	Loss: 0.5836	LR: 0.100000
Training Epoch: 6 [41216/46250]	Loss: 0.6585	LR: 0.100000
Training Epoch: 6 [41472/46250]	Loss: 0.6821	LR: 0.100000
Training Epoch: 6 [41728/46250]	Loss: 0.6731	LR: 0.100000
Training Epoch: 6 [41984/46250]	Loss: 0.7276	LR: 0.100000
Training Epoch: 6 [42240/46250]	Loss: 0.5870	LR: 0.100000
Training Epoch: 6 [42496/46250]	Loss: 0.5220	LR: 0.100000
Training Epoch: 6 [42752/46250]	Loss: 0.7020	LR: 0.100000
Training Epoch: 6 [43008/46250]	Loss: 0.6755	LR: 0.100000
Training Epoch: 6 [43264/46250]	Loss: 0.5987	LR: 0.100000
Training Epoch: 6 [43520/46250]	Loss: 0.5272	LR: 0.100000
Training Epoch: 6 [43776/46250]	Loss: 0.6992	LR: 0.100000
Training Epoch: 6 [44032/46250]	Loss: 0.6190	LR: 0.100000
Training Epoch: 6 [44288/46250]	Loss: 0.6821	LR: 0.100000
Training Epoch: 6 [44544/46250]	Loss: 0.6201	LR: 0.100000
Training Epoch: 6 [44800/46250]	Loss: 0.6829	LR: 0.100000
Training Epoch: 6 [45056/46250]	Loss: 0.7191	LR: 0.100000
Training Epoch: 6 [45312/46250]	Loss: 0.7662	LR: 0.100000
Training Epoch: 6 [45568/46250]	Loss: 0.7334	LR: 0.100000
Training Epoch: 6 [45824/46250]	Loss: 0.5249	LR: 0.100000
Training Epoch: 6 [46080/46250]	Loss: 0.6520	LR: 0.100000
Training Epoch: 6 [46250/46250]	Loss: 0.6708	LR: 0.100000
Epoch 6 - Average Train Loss: 0.6565, Train Accuracy: 0.7717
Epoch 6 training time consumed: 27.74s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0032, Accuracy: 0.7292, Time consumed:0.90s
Training Epoch: 7 [256/46250]	Loss: 0.5710	LR: 0.100000
Training Epoch: 7 [512/46250]	Loss: 0.8481	LR: 0.100000
Training Epoch: 7 [768/46250]	Loss: 0.5275	LR: 0.100000
Training Epoch: 7 [1024/46250]	Loss: 0.7027	LR: 0.100000
Training Epoch: 7 [1280/46250]	Loss: 0.5551	LR: 0.100000
Training Epoch: 7 [1536/46250]	Loss: 0.7322	LR: 0.100000
Training Epoch: 7 [1792/46250]	Loss: 0.5474	LR: 0.100000
Training Epoch: 7 [2048/46250]	Loss: 0.6541	LR: 0.100000
Training Epoch: 7 [2304/46250]	Loss: 0.6348	LR: 0.100000
Training Epoch: 7 [2560/46250]	Loss: 0.6311	LR: 0.100000
Training Epoch: 7 [2816/46250]	Loss: 0.5978	LR: 0.100000
Training Epoch: 7 [3072/46250]	Loss: 0.5541	LR: 0.100000
Training Epoch: 7 [3328/46250]	Loss: 0.6365	LR: 0.100000
Training Epoch: 7 [3584/46250]	Loss: 0.6533	LR: 0.100000
Training Epoch: 7 [3840/46250]	Loss: 0.5402	LR: 0.100000
Training Epoch: 7 [4096/46250]	Loss: 0.6212	LR: 0.100000
Training Epoch: 7 [4352/46250]	Loss: 0.5576	LR: 0.100000
Training Epoch: 7 [4608/46250]	Loss: 0.5874	LR: 0.100000
Training Epoch: 7 [4864/46250]	Loss: 0.5642	LR: 0.100000
Training Epoch: 7 [5120/46250]	Loss: 0.7302	LR: 0.100000
Training Epoch: 7 [5376/46250]	Loss: 0.5829	LR: 0.100000
Training Epoch: 7 [5632/46250]	Loss: 0.5655	LR: 0.100000
Training Epoch: 7 [5888/46250]	Loss: 0.4924	LR: 0.100000
Training Epoch: 7 [6144/46250]	Loss: 0.6290	LR: 0.100000
Training Epoch: 7 [6400/46250]	Loss: 0.6034	LR: 0.100000
Training Epoch: 7 [6656/46250]	Loss: 0.5903	LR: 0.100000
Training Epoch: 7 [6912/46250]	Loss: 0.5017	LR: 0.100000
Training Epoch: 7 [7168/46250]	Loss: 0.6337	LR: 0.100000
Training Epoch: 7 [7424/46250]	Loss: 0.6390	LR: 0.100000
Training Epoch: 7 [7680/46250]	Loss: 0.5279	LR: 0.100000
Training Epoch: 7 [7936/46250]	Loss: 0.5441	LR: 0.100000
Training Epoch: 7 [8192/46250]	Loss: 0.7574	LR: 0.100000
Training Epoch: 7 [8448/46250]	Loss: 0.6328	LR: 0.100000
Training Epoch: 7 [8704/46250]	Loss: 0.6303	LR: 0.100000
Training Epoch: 7 [8960/46250]	Loss: 0.5429	LR: 0.100000
Training Epoch: 7 [9216/46250]	Loss: 0.6277	LR: 0.100000
Training Epoch: 7 [9472/46250]	Loss: 0.6433	LR: 0.100000
Training Epoch: 7 [9728/46250]	Loss: 0.6531	LR: 0.100000
Training Epoch: 7 [9984/46250]	Loss: 0.6859	LR: 0.100000
Training Epoch: 7 [10240/46250]	Loss: 0.6364	LR: 0.100000
Training Epoch: 7 [10496/46250]	Loss: 0.5728	LR: 0.100000
Training Epoch: 7 [10752/46250]	Loss: 0.5743	LR: 0.100000
Training Epoch: 7 [11008/46250]	Loss: 0.6546	LR: 0.100000
Training Epoch: 7 [11264/46250]	Loss: 0.7162	LR: 0.100000
Training Epoch: 7 [11520/46250]	Loss: 0.6022	LR: 0.100000
Training Epoch: 7 [11776/46250]	Loss: 0.5740	LR: 0.100000
Training Epoch: 7 [12032/46250]	Loss: 0.6217	LR: 0.100000
Training Epoch: 7 [12288/46250]	Loss: 0.6354	LR: 0.100000
Training Epoch: 7 [12544/46250]	Loss: 0.5478	LR: 0.100000
Training Epoch: 7 [12800/46250]	Loss: 0.6419	LR: 0.100000
Training Epoch: 7 [13056/46250]	Loss: 0.6000	LR: 0.100000
Training Epoch: 7 [13312/46250]	Loss: 0.6768	LR: 0.100000
Training Epoch: 7 [13568/46250]	Loss: 0.5339	LR: 0.100000
Training Epoch: 7 [13824/46250]	Loss: 0.6888	LR: 0.100000
Training Epoch: 7 [14080/46250]	Loss: 0.5733	LR: 0.100000
Training Epoch: 7 [14336/46250]	Loss: 0.6173	LR: 0.100000
Training Epoch: 7 [14592/46250]	Loss: 0.6774	LR: 0.100000
Training Epoch: 7 [14848/46250]	Loss: 0.6344	LR: 0.100000
Training Epoch: 7 [15104/46250]	Loss: 0.6456	LR: 0.100000
Training Epoch: 7 [15360/46250]	Loss: 0.5845	LR: 0.100000
Training Epoch: 7 [15616/46250]	Loss: 0.6455	LR: 0.100000
Training Epoch: 7 [15872/46250]	Loss: 0.6273	LR: 0.100000
Training Epoch: 7 [16128/46250]	Loss: 0.6425	LR: 0.100000
Training Epoch: 7 [16384/46250]	Loss: 0.6003	LR: 0.100000
Training Epoch: 7 [16640/46250]	Loss: 0.7242	LR: 0.100000
Training Epoch: 7 [16896/46250]	Loss: 0.7025	LR: 0.100000
Training Epoch: 7 [17152/46250]	Loss: 0.5620	LR: 0.100000
Training Epoch: 7 [17408/46250]	Loss: 0.5752	LR: 0.100000
Training Epoch: 7 [17664/46250]	Loss: 0.6227	LR: 0.100000
Training Epoch: 7 [17920/46250]	Loss: 0.6242	LR: 0.100000
Training Epoch: 7 [18176/46250]	Loss: 0.6202	LR: 0.100000
Training Epoch: 7 [18432/46250]	Loss: 0.5343	LR: 0.100000
Training Epoch: 7 [18688/46250]	Loss: 0.4571	LR: 0.100000
Training Epoch: 7 [18944/46250]	Loss: 0.7181	LR: 0.100000
Training Epoch: 7 [19200/46250]	Loss: 0.5423	LR: 0.100000
Training Epoch: 7 [19456/46250]	Loss: 0.5812	LR: 0.100000
Training Epoch: 7 [19712/46250]	Loss: 0.7722	LR: 0.100000
Training Epoch: 7 [19968/46250]	Loss: 0.6020	LR: 0.100000
Training Epoch: 7 [20224/46250]	Loss: 0.6174	LR: 0.100000
Training Epoch: 7 [20480/46250]	Loss: 0.5637	LR: 0.100000
Training Epoch: 7 [20736/46250]	Loss: 0.5919	LR: 0.100000
Training Epoch: 7 [20992/46250]	Loss: 0.6658	LR: 0.100000
Training Epoch: 7 [21248/46250]	Loss: 0.5505	LR: 0.100000
Training Epoch: 7 [21504/46250]	Loss: 0.5511	LR: 0.100000
Training Epoch: 7 [21760/46250]	Loss: 0.6018	LR: 0.100000
Training Epoch: 7 [22016/46250]	Loss: 0.7262	LR: 0.100000
Training Epoch: 7 [22272/46250]	Loss: 0.6621	LR: 0.100000
Training Epoch: 7 [22528/46250]	Loss: 0.6702	LR: 0.100000
Training Epoch: 7 [22784/46250]	Loss: 0.5618	LR: 0.100000
Training Epoch: 7 [23040/46250]	Loss: 0.6407	LR: 0.100000
Training Epoch: 7 [23296/46250]	Loss: 0.7410	LR: 0.100000
Training Epoch: 7 [23552/46250]	Loss: 0.4469	LR: 0.100000
Training Epoch: 7 [23808/46250]	Loss: 0.5644	LR: 0.100000
Training Epoch: 7 [24064/46250]	Loss: 0.5751	LR: 0.100000
Training Epoch: 7 [24320/46250]	Loss: 0.5560	LR: 0.100000
Training Epoch: 7 [24576/46250]	Loss: 0.7437	LR: 0.100000
Training Epoch: 7 [24832/46250]	Loss: 0.6451	LR: 0.100000
Training Epoch: 7 [25088/46250]	Loss: 0.6042	LR: 0.100000
Training Epoch: 7 [25344/46250]	Loss: 0.6044	LR: 0.100000
Training Epoch: 7 [25600/46250]	Loss: 0.6057	LR: 0.100000
Training Epoch: 7 [25856/46250]	Loss: 0.5913	LR: 0.100000
Training Epoch: 7 [26112/46250]	Loss: 0.5385	LR: 0.100000
Training Epoch: 7 [26368/46250]	Loss: 0.6331	LR: 0.100000
Training Epoch: 7 [26624/46250]	Loss: 0.6499	LR: 0.100000
Training Epoch: 7 [26880/46250]	Loss: 0.6310	LR: 0.100000
Training Epoch: 7 [27136/46250]	Loss: 0.6021	LR: 0.100000
Training Epoch: 7 [27392/46250]	Loss: 0.6400	LR: 0.100000
Training Epoch: 7 [27648/46250]	Loss: 0.6262	LR: 0.100000
Training Epoch: 7 [27904/46250]	Loss: 0.6952	LR: 0.100000
Training Epoch: 7 [28160/46250]	Loss: 0.6505	LR: 0.100000
Training Epoch: 7 [28416/46250]	Loss: 0.4848	LR: 0.100000
Training Epoch: 7 [28672/46250]	Loss: 0.6089	LR: 0.100000
Training Epoch: 7 [28928/46250]	Loss: 0.6417	LR: 0.100000
Training Epoch: 7 [29184/46250]	Loss: 0.6072	LR: 0.100000
Training Epoch: 7 [29440/46250]	Loss: 0.6733	LR: 0.100000
Training Epoch: 7 [29696/46250]	Loss: 0.5709	LR: 0.100000
Training Epoch: 7 [29952/46250]	Loss: 0.6149	LR: 0.100000
Training Epoch: 7 [30208/46250]	Loss: 0.6268	LR: 0.100000
Training Epoch: 7 [30464/46250]	Loss: 0.5606	LR: 0.100000
Training Epoch: 7 [30720/46250]	Loss: 0.6067	LR: 0.100000
Training Epoch: 7 [30976/46250]	Loss: 0.6279	LR: 0.100000
Training Epoch: 7 [31232/46250]	Loss: 0.6588	LR: 0.100000
Training Epoch: 7 [31488/46250]	Loss: 0.5721	LR: 0.100000
Training Epoch: 7 [31744/46250]	Loss: 0.6281	LR: 0.100000
Training Epoch: 7 [32000/46250]	Loss: 0.7341	LR: 0.100000
Training Epoch: 7 [32256/46250]	Loss: 0.5041	LR: 0.100000
Training Epoch: 7 [32512/46250]	Loss: 0.5844	LR: 0.100000
Training Epoch: 7 [32768/46250]	Loss: 0.6024	LR: 0.100000
Training Epoch: 7 [33024/46250]	Loss: 0.4972	LR: 0.100000
Training Epoch: 7 [33280/46250]	Loss: 0.5976	LR: 0.100000
Training Epoch: 7 [33536/46250]	Loss: 0.6067	LR: 0.100000
Training Epoch: 7 [33792/46250]	Loss: 0.5600	LR: 0.100000
Training Epoch: 7 [34048/46250]	Loss: 0.6087	LR: 0.100000
Training Epoch: 7 [34304/46250]	Loss: 0.6654	LR: 0.100000
Training Epoch: 7 [34560/46250]	Loss: 0.6114	LR: 0.100000
Training Epoch: 7 [34816/46250]	Loss: 0.6088	LR: 0.100000
Training Epoch: 7 [35072/46250]	Loss: 0.5804	LR: 0.100000
Training Epoch: 7 [35328/46250]	Loss: 0.5866	LR: 0.100000
Training Epoch: 7 [35584/46250]	Loss: 0.5836	LR: 0.100000
Training Epoch: 7 [35840/46250]	Loss: 0.5775	LR: 0.100000
Training Epoch: 7 [36096/46250]	Loss: 0.6417	LR: 0.100000
Training Epoch: 7 [36352/46250]	Loss: 0.6148	LR: 0.100000
Training Epoch: 7 [36608/46250]	Loss: 0.5341	LR: 0.100000
Training Epoch: 7 [36864/46250]	Loss: 0.5924	LR: 0.100000
Training Epoch: 7 [37120/46250]	Loss: 0.6195	LR: 0.100000
Training Epoch: 7 [37376/46250]	Loss: 0.6129	LR: 0.100000
Training Epoch: 7 [37632/46250]	Loss: 0.6418	LR: 0.100000
Training Epoch: 7 [37888/46250]	Loss: 0.5370	LR: 0.100000
Training Epoch: 7 [38144/46250]	Loss: 0.6423	LR: 0.100000
Training Epoch: 7 [38400/46250]	Loss: 0.5991	LR: 0.100000
Training Epoch: 7 [38656/46250]	Loss: 0.6441	LR: 0.100000
Training Epoch: 7 [38912/46250]	Loss: 0.6415	LR: 0.100000
Training Epoch: 7 [39168/46250]	Loss: 0.4719	LR: 0.100000
Training Epoch: 7 [39424/46250]	Loss: 0.6638	LR: 0.100000
Training Epoch: 7 [39680/46250]	Loss: 0.6685	LR: 0.100000
Training Epoch: 7 [39936/46250]	Loss: 0.6742	LR: 0.100000
Training Epoch: 7 [40192/46250]	Loss: 0.6590	LR: 0.100000
Training Epoch: 7 [40448/46250]	Loss: 0.6338	LR: 0.100000
Training Epoch: 7 [40704/46250]	Loss: 0.5049	LR: 0.100000
Training Epoch: 7 [40960/46250]	Loss: 0.6223	LR: 0.100000
Training Epoch: 7 [41216/46250]	Loss: 0.5572	LR: 0.100000
Training Epoch: 7 [41472/46250]	Loss: 0.6935	LR: 0.100000
Training Epoch: 7 [41728/46250]	Loss: 0.5810	LR: 0.100000
Training Epoch: 7 [41984/46250]	Loss: 0.6768	LR: 0.100000
Training Epoch: 7 [42240/46250]	Loss: 0.4657	LR: 0.100000
Training Epoch: 7 [42496/46250]	Loss: 0.5559	LR: 0.100000
Training Epoch: 7 [42752/46250]	Loss: 0.5837	LR: 0.100000
Training Epoch: 7 [43008/46250]	Loss: 0.5040	LR: 0.100000
Training Epoch: 7 [43264/46250]	Loss: 0.6682	LR: 0.100000
Training Epoch: 7 [43520/46250]	Loss: 0.6053	LR: 0.100000
Training Epoch: 7 [43776/46250]	Loss: 0.7743	LR: 0.100000
Training Epoch: 7 [44032/46250]	Loss: 0.6784	LR: 0.100000
Training Epoch: 7 [44288/46250]	Loss: 0.5224	LR: 0.100000
Training Epoch: 7 [44544/46250]	Loss: 0.5557	LR: 0.100000
Training Epoch: 7 [44800/46250]	Loss: 0.5320	LR: 0.100000
Training Epoch: 7 [45056/46250]	Loss: 0.5659	LR: 0.100000
Training Epoch: 7 [45312/46250]	Loss: 0.5847	LR: 0.100000
Training Epoch: 7 [45568/46250]	Loss: 0.5648	LR: 0.100000
Training Epoch: 7 [45824/46250]	Loss: 0.4807	LR: 0.100000
Training Epoch: 7 [46080/46250]	Loss: 0.6111	LR: 0.100000
Training Epoch: 7 [46250/46250]	Loss: 0.6193	LR: 0.100000
Epoch 7 - Average Train Loss: 0.6101, Train Accuracy: 0.7876
Epoch 7 training time consumed: 27.51s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0026, Accuracy: 0.7787, Time consumed:0.84s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_19h_02m_22s/ResNet18-Cifar10-seed2-ret25-7-best.pth
Training Epoch: 8 [256/46250]	Loss: 0.5293	LR: 0.020000
Training Epoch: 8 [512/46250]	Loss: 0.4879	LR: 0.020000
Training Epoch: 8 [768/46250]	Loss: 0.6562	LR: 0.020000
Training Epoch: 8 [1024/46250]	Loss: 0.6703	LR: 0.020000
Training Epoch: 8 [1280/46250]	Loss: 0.5127	LR: 0.020000
Training Epoch: 8 [1536/46250]	Loss: 0.4784	LR: 0.020000
Training Epoch: 8 [1792/46250]	Loss: 0.4734	LR: 0.020000
Training Epoch: 8 [2048/46250]	Loss: 0.5280	LR: 0.020000
Training Epoch: 8 [2304/46250]	Loss: 0.5418	LR: 0.020000
Training Epoch: 8 [2560/46250]	Loss: 0.4947	LR: 0.020000
Training Epoch: 8 [2816/46250]	Loss: 0.4883	LR: 0.020000
Training Epoch: 8 [3072/46250]	Loss: 0.5269	LR: 0.020000
Training Epoch: 8 [3328/46250]	Loss: 0.4963	LR: 0.020000
Training Epoch: 8 [3584/46250]	Loss: 0.5532	LR: 0.020000
Training Epoch: 8 [3840/46250]	Loss: 0.5241	LR: 0.020000
Training Epoch: 8 [4096/46250]	Loss: 0.4476	LR: 0.020000
Training Epoch: 8 [4352/46250]	Loss: 0.4431	LR: 0.020000
Training Epoch: 8 [4608/46250]	Loss: 0.5035	LR: 0.020000
Training Epoch: 8 [4864/46250]	Loss: 0.4775	LR: 0.020000
Training Epoch: 8 [5120/46250]	Loss: 0.5276	LR: 0.020000
Training Epoch: 8 [5376/46250]	Loss: 0.5349	LR: 0.020000
Training Epoch: 8 [5632/46250]	Loss: 0.5319	LR: 0.020000
Training Epoch: 8 [5888/46250]	Loss: 0.4649	LR: 0.020000
Training Epoch: 8 [6144/46250]	Loss: 0.5726	LR: 0.020000
Training Epoch: 8 [6400/46250]	Loss: 0.4056	LR: 0.020000
Training Epoch: 8 [6656/46250]	Loss: 0.4104	LR: 0.020000
Training Epoch: 8 [6912/46250]	Loss: 0.4194	LR: 0.020000
Training Epoch: 8 [7168/46250]	Loss: 0.3777	LR: 0.020000
Training Epoch: 8 [7424/46250]	Loss: 0.5115	LR: 0.020000
Training Epoch: 8 [7680/46250]	Loss: 0.4720	LR: 0.020000
Training Epoch: 8 [7936/46250]	Loss: 0.5226	LR: 0.020000
Training Epoch: 8 [8192/46250]	Loss: 0.5591	LR: 0.020000
Training Epoch: 8 [8448/46250]	Loss: 0.4987	LR: 0.020000
Training Epoch: 8 [8704/46250]	Loss: 0.4527	LR: 0.020000
Training Epoch: 8 [8960/46250]	Loss: 0.4232	LR: 0.020000
Training Epoch: 8 [9216/46250]	Loss: 0.5363	LR: 0.020000
Training Epoch: 8 [9472/46250]	Loss: 0.4659	LR: 0.020000
Training Epoch: 8 [9728/46250]	Loss: 0.4469	LR: 0.020000
Training Epoch: 8 [9984/46250]	Loss: 0.4898	LR: 0.020000
Training Epoch: 8 [10240/46250]	Loss: 0.3870	LR: 0.020000
Training Epoch: 8 [10496/46250]	Loss: 0.5335	LR: 0.020000
Training Epoch: 8 [10752/46250]	Loss: 0.4682	LR: 0.020000
Training Epoch: 8 [11008/46250]	Loss: 0.4361	LR: 0.020000
Training Epoch: 8 [11264/46250]	Loss: 0.4358	LR: 0.020000
Training Epoch: 8 [11520/46250]	Loss: 0.3860	LR: 0.020000
Training Epoch: 8 [11776/46250]	Loss: 0.5681	LR: 0.020000
Training Epoch: 8 [12032/46250]	Loss: 0.4213	LR: 0.020000
Training Epoch: 8 [12288/46250]	Loss: 0.4531	LR: 0.020000
Training Epoch: 8 [12544/46250]	Loss: 0.4635	LR: 0.020000
Training Epoch: 8 [12800/46250]	Loss: 0.4819	LR: 0.020000
Training Epoch: 8 [13056/46250]	Loss: 0.4913	LR: 0.020000
Training Epoch: 8 [13312/46250]	Loss: 0.5043	LR: 0.020000
Training Epoch: 8 [13568/46250]	Loss: 0.4515	LR: 0.020000
Training Epoch: 8 [13824/46250]	Loss: 0.5499	LR: 0.020000
Training Epoch: 8 [14080/46250]	Loss: 0.3897	LR: 0.020000
Training Epoch: 8 [14336/46250]	Loss: 0.5323	LR: 0.020000
Training Epoch: 8 [14592/46250]	Loss: 0.3410	LR: 0.020000
Training Epoch: 8 [14848/46250]	Loss: 0.3592	LR: 0.020000
Training Epoch: 8 [15104/46250]	Loss: 0.4813	LR: 0.020000
Training Epoch: 8 [15360/46250]	Loss: 0.5725	LR: 0.020000
Training Epoch: 8 [15616/46250]	Loss: 0.4412	LR: 0.020000
Training Epoch: 8 [15872/46250]	Loss: 0.4686	LR: 0.020000
Training Epoch: 8 [16128/46250]	Loss: 0.4538	LR: 0.020000
Training Epoch: 8 [16384/46250]	Loss: 0.4332	LR: 0.020000
Training Epoch: 8 [16640/46250]	Loss: 0.4410	LR: 0.020000
Training Epoch: 8 [16896/46250]	Loss: 0.4760	LR: 0.020000
Training Epoch: 8 [17152/46250]	Loss: 0.5277	LR: 0.020000
Training Epoch: 8 [17408/46250]	Loss: 0.3999	LR: 0.020000
Training Epoch: 8 [17664/46250]	Loss: 0.4054	LR: 0.020000
Training Epoch: 8 [17920/46250]	Loss: 0.4148	LR: 0.020000
Training Epoch: 8 [18176/46250]	Loss: 0.4497	LR: 0.020000
Training Epoch: 8 [18432/46250]	Loss: 0.3373	LR: 0.020000
Training Epoch: 8 [18688/46250]	Loss: 0.4592	LR: 0.020000
Training Epoch: 8 [18944/46250]	Loss: 0.3670	LR: 0.020000
Training Epoch: 8 [19200/46250]	Loss: 0.3622	LR: 0.020000
Training Epoch: 8 [19456/46250]	Loss: 0.4148	LR: 0.020000
Training Epoch: 8 [19712/46250]	Loss: 0.4423	LR: 0.020000
Training Epoch: 8 [19968/46250]	Loss: 0.4965	LR: 0.020000
Training Epoch: 8 [20224/46250]	Loss: 0.4758	LR: 0.020000
Training Epoch: 8 [20480/46250]	Loss: 0.4406	LR: 0.020000
Training Epoch: 8 [20736/46250]	Loss: 0.3377	LR: 0.020000
Training Epoch: 8 [20992/46250]	Loss: 0.4066	LR: 0.020000
Training Epoch: 8 [21248/46250]	Loss: 0.4580	LR: 0.020000
Training Epoch: 8 [21504/46250]	Loss: 0.3953	LR: 0.020000
Training Epoch: 8 [21760/46250]	Loss: 0.3919	LR: 0.020000
Training Epoch: 8 [22016/46250]	Loss: 0.4279	LR: 0.020000
Training Epoch: 8 [22272/46250]	Loss: 0.4747	LR: 0.020000
Training Epoch: 8 [22528/46250]	Loss: 0.4326	LR: 0.020000
Training Epoch: 8 [22784/46250]	Loss: 0.4617	LR: 0.020000
Training Epoch: 8 [23040/46250]	Loss: 0.4947	LR: 0.020000
Training Epoch: 8 [23296/46250]	Loss: 0.4581	LR: 0.020000
Training Epoch: 8 [23552/46250]	Loss: 0.4271	LR: 0.020000
Training Epoch: 8 [23808/46250]	Loss: 0.4264	LR: 0.020000
Training Epoch: 8 [24064/46250]	Loss: 0.4053	LR: 0.020000
Training Epoch: 8 [24320/46250]	Loss: 0.4253	LR: 0.020000
Training Epoch: 8 [24576/46250]	Loss: 0.4840	LR: 0.020000
Training Epoch: 8 [24832/46250]	Loss: 0.3989	LR: 0.020000
Training Epoch: 8 [25088/46250]	Loss: 0.3879	LR: 0.020000
Training Epoch: 8 [25344/46250]	Loss: 0.3594	LR: 0.020000
Training Epoch: 8 [25600/46250]	Loss: 0.4567	LR: 0.020000
Training Epoch: 8 [25856/46250]	Loss: 0.4611	LR: 0.020000
Training Epoch: 8 [26112/46250]	Loss: 0.3701	LR: 0.020000
Training Epoch: 8 [26368/46250]	Loss: 0.3461	LR: 0.020000
Training Epoch: 8 [26624/46250]	Loss: 0.3704	LR: 0.020000
Training Epoch: 8 [26880/46250]	Loss: 0.3815	LR: 0.020000
Training Epoch: 8 [27136/46250]	Loss: 0.4000	LR: 0.020000
Training Epoch: 8 [27392/46250]	Loss: 0.3716	LR: 0.020000
Training Epoch: 8 [27648/46250]	Loss: 0.4158	LR: 0.020000
Training Epoch: 8 [27904/46250]	Loss: 0.3966	LR: 0.020000
Training Epoch: 8 [28160/46250]	Loss: 0.5241	LR: 0.020000
Training Epoch: 8 [28416/46250]	Loss: 0.4790	LR: 0.020000
Training Epoch: 8 [28672/46250]	Loss: 0.3759	LR: 0.020000
Training Epoch: 8 [28928/46250]	Loss: 0.4417	LR: 0.020000
Training Epoch: 8 [29184/46250]	Loss: 0.5202	LR: 0.020000
Training Epoch: 8 [29440/46250]	Loss: 0.4977	LR: 0.020000
Training Epoch: 8 [29696/46250]	Loss: 0.4313	LR: 0.020000
Training Epoch: 8 [29952/46250]	Loss: 0.5561	LR: 0.020000
Training Epoch: 8 [30208/46250]	Loss: 0.5598	LR: 0.020000
Training Epoch: 8 [30464/46250]	Loss: 0.3546	LR: 0.020000
Training Epoch: 8 [30720/46250]	Loss: 0.3763	LR: 0.020000
Training Epoch: 8 [30976/46250]	Loss: 0.3841	LR: 0.020000
Training Epoch: 8 [31232/46250]	Loss: 0.4502	LR: 0.020000
Training Epoch: 8 [31488/46250]	Loss: 0.3429	LR: 0.020000
Training Epoch: 8 [31744/46250]	Loss: 0.4028	LR: 0.020000
Training Epoch: 8 [32000/46250]	Loss: 0.4946	LR: 0.020000
Training Epoch: 8 [32256/46250]	Loss: 0.5569	LR: 0.020000
Training Epoch: 8 [32512/46250]	Loss: 0.3814	LR: 0.020000
Training Epoch: 8 [32768/46250]	Loss: 0.3644	LR: 0.020000
Training Epoch: 8 [33024/46250]	Loss: 0.4735	LR: 0.020000
Training Epoch: 8 [33280/46250]	Loss: 0.3609	LR: 0.020000
Training Epoch: 8 [33536/46250]	Loss: 0.3313	LR: 0.020000
Training Epoch: 8 [33792/46250]	Loss: 0.4912	LR: 0.020000
Training Epoch: 8 [34048/46250]	Loss: 0.4312	LR: 0.020000
Training Epoch: 8 [34304/46250]	Loss: 0.4526	LR: 0.020000
Training Epoch: 8 [34560/46250]	Loss: 0.4151	LR: 0.020000
Training Epoch: 8 [34816/46250]	Loss: 0.3875	LR: 0.020000
Training Epoch: 8 [35072/46250]	Loss: 0.4202	LR: 0.020000
Training Epoch: 8 [35328/46250]	Loss: 0.3832	LR: 0.020000
Training Epoch: 8 [35584/46250]	Loss: 0.4521	LR: 0.020000
Training Epoch: 8 [35840/46250]	Loss: 0.3983	LR: 0.020000
Training Epoch: 8 [36096/46250]	Loss: 0.3819	LR: 0.020000
Training Epoch: 8 [36352/46250]	Loss: 0.3856	LR: 0.020000
Training Epoch: 8 [36608/46250]	Loss: 0.4359	LR: 0.020000
Training Epoch: 8 [36864/46250]	Loss: 0.4228	LR: 0.020000
Training Epoch: 8 [37120/46250]	Loss: 0.4689	LR: 0.020000
Training Epoch: 8 [37376/46250]	Loss: 0.4968	LR: 0.020000
Training Epoch: 8 [37632/46250]	Loss: 0.4769	LR: 0.020000
Training Epoch: 8 [37888/46250]	Loss: 0.5016	LR: 0.020000
Training Epoch: 8 [38144/46250]	Loss: 0.3769	LR: 0.020000
Training Epoch: 8 [38400/46250]	Loss: 0.4975	LR: 0.020000
Training Epoch: 8 [38656/46250]	Loss: 0.2731	LR: 0.020000
Training Epoch: 8 [38912/46250]	Loss: 0.4577	LR: 0.020000
Training Epoch: 8 [39168/46250]	Loss: 0.4197	LR: 0.020000
Training Epoch: 8 [39424/46250]	Loss: 0.4231	LR: 0.020000
Training Epoch: 8 [39680/46250]	Loss: 0.4182	LR: 0.020000
Training Epoch: 8 [39936/46250]	Loss: 0.5130	LR: 0.020000
Training Epoch: 8 [40192/46250]	Loss: 0.4439	LR: 0.020000
Training Epoch: 8 [40448/46250]	Loss: 0.3228	LR: 0.020000
Training Epoch: 8 [40704/46250]	Loss: 0.5049	LR: 0.020000
Training Epoch: 8 [40960/46250]	Loss: 0.3770	LR: 0.020000
Training Epoch: 8 [41216/46250]	Loss: 0.2882	LR: 0.020000
Training Epoch: 8 [41472/46250]	Loss: 0.3670	LR: 0.020000
Training Epoch: 8 [41728/46250]	Loss: 0.4759	LR: 0.020000
Training Epoch: 8 [41984/46250]	Loss: 0.3892	LR: 0.020000
Training Epoch: 8 [42240/46250]	Loss: 0.3679	LR: 0.020000
Training Epoch: 8 [42496/46250]	Loss: 0.5005	LR: 0.020000
Training Epoch: 8 [42752/46250]	Loss: 0.4142	LR: 0.020000
Training Epoch: 8 [43008/46250]	Loss: 0.4500	LR: 0.020000
Training Epoch: 8 [43264/46250]	Loss: 0.4315	LR: 0.020000
Training Epoch: 8 [43520/46250]	Loss: 0.4303	LR: 0.020000
Training Epoch: 8 [43776/46250]	Loss: 0.5531	LR: 0.020000
Training Epoch: 8 [44032/46250]	Loss: 0.3430	LR: 0.020000
Training Epoch: 8 [44288/46250]	Loss: 0.4258	LR: 0.020000
Training Epoch: 8 [44544/46250]	Loss: 0.3555	LR: 0.020000
Training Epoch: 8 [44800/46250]	Loss: 0.4826	LR: 0.020000
Training Epoch: 8 [45056/46250]	Loss: 0.4738	LR: 0.020000
Training Epoch: 8 [45312/46250]	Loss: 0.4394	LR: 0.020000
Training Epoch: 8 [45568/46250]	Loss: 0.4302	LR: 0.020000
Training Epoch: 8 [45824/46250]	Loss: 0.4197	LR: 0.020000
Training Epoch: 8 [46080/46250]	Loss: 0.4064	LR: 0.020000
Training Epoch: 8 [46250/46250]	Loss: 0.4024	LR: 0.020000
Epoch 8 - Average Train Loss: 0.4467, Train Accuracy: 0.8450
Epoch 8 training time consumed: 27.65s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0017, Accuracy: 0.8538, Time consumed:0.86s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_19h_02m_22s/ResNet18-Cifar10-seed2-ret25-8-best.pth
Training Epoch: 9 [256/46250]	Loss: 0.3568	LR: 0.020000
Training Epoch: 9 [512/46250]	Loss: 0.4044	LR: 0.020000
Training Epoch: 9 [768/46250]	Loss: 0.4221	LR: 0.020000
Training Epoch: 9 [1024/46250]	Loss: 0.3920	LR: 0.020000
Training Epoch: 9 [1280/46250]	Loss: 0.3874	LR: 0.020000
Training Epoch: 9 [1536/46250]	Loss: 0.4611	LR: 0.020000
Training Epoch: 9 [1792/46250]	Loss: 0.4188	LR: 0.020000
Training Epoch: 9 [2048/46250]	Loss: 0.4188	LR: 0.020000
Training Epoch: 9 [2304/46250]	Loss: 0.4362	LR: 0.020000
Training Epoch: 9 [2560/46250]	Loss: 0.3881	LR: 0.020000
Training Epoch: 9 [2816/46250]	Loss: 0.4744	LR: 0.020000
Training Epoch: 9 [3072/46250]	Loss: 0.4187	LR: 0.020000
Training Epoch: 9 [3328/46250]	Loss: 0.5147	LR: 0.020000
Training Epoch: 9 [3584/46250]	Loss: 0.3973	LR: 0.020000
Training Epoch: 9 [3840/46250]	Loss: 0.4038	LR: 0.020000
Training Epoch: 9 [4096/46250]	Loss: 0.2989	LR: 0.020000
Training Epoch: 9 [4352/46250]	Loss: 0.4082	LR: 0.020000
Training Epoch: 9 [4608/46250]	Loss: 0.3466	LR: 0.020000
Training Epoch: 9 [4864/46250]	Loss: 0.3923	LR: 0.020000
Training Epoch: 9 [5120/46250]	Loss: 0.3714	LR: 0.020000
Training Epoch: 9 [5376/46250]	Loss: 0.4127	LR: 0.020000
Training Epoch: 9 [5632/46250]	Loss: 0.4782	LR: 0.020000
Training Epoch: 9 [5888/46250]	Loss: 0.3417	LR: 0.020000
Training Epoch: 9 [6144/46250]	Loss: 0.5444	LR: 0.020000
Training Epoch: 9 [6400/46250]	Loss: 0.4589	LR: 0.020000
Training Epoch: 9 [6656/46250]	Loss: 0.4653	LR: 0.020000
Training Epoch: 9 [6912/46250]	Loss: 0.3543	LR: 0.020000
Training Epoch: 9 [7168/46250]	Loss: 0.4951	LR: 0.020000
Training Epoch: 9 [7424/46250]	Loss: 0.3934	LR: 0.020000
Training Epoch: 9 [7680/46250]	Loss: 0.3739	LR: 0.020000
Training Epoch: 9 [7936/46250]	Loss: 0.4921	LR: 0.020000
Training Epoch: 9 [8192/46250]	Loss: 0.3183	LR: 0.020000
Training Epoch: 9 [8448/46250]	Loss: 0.4272	LR: 0.020000
Training Epoch: 9 [8704/46250]	Loss: 0.3618	LR: 0.020000
Training Epoch: 9 [8960/46250]	Loss: 0.3234	LR: 0.020000
Training Epoch: 9 [9216/46250]	Loss: 0.3564	LR: 0.020000
Training Epoch: 9 [9472/46250]	Loss: 0.3539	LR: 0.020000
Training Epoch: 9 [9728/46250]	Loss: 0.3507	LR: 0.020000
Training Epoch: 9 [9984/46250]	Loss: 0.3665	LR: 0.020000
Training Epoch: 9 [10240/46250]	Loss: 0.2840	LR: 0.020000
Training Epoch: 9 [10496/46250]	Loss: 0.4295	LR: 0.020000
Training Epoch: 9 [10752/46250]	Loss: 0.3630	LR: 0.020000
Training Epoch: 9 [11008/46250]	Loss: 0.4313	LR: 0.020000
Training Epoch: 9 [11264/46250]	Loss: 0.3596	LR: 0.020000
Training Epoch: 9 [11520/46250]	Loss: 0.4016	LR: 0.020000
Training Epoch: 9 [11776/46250]	Loss: 0.4561	LR: 0.020000
Training Epoch: 9 [12032/46250]	Loss: 0.3874	LR: 0.020000
Training Epoch: 9 [12288/46250]	Loss: 0.4313	LR: 0.020000
Training Epoch: 9 [12544/46250]	Loss: 0.3877	LR: 0.020000
Training Epoch: 9 [12800/46250]	Loss: 0.3747	LR: 0.020000
Training Epoch: 9 [13056/46250]	Loss: 0.4400	LR: 0.020000
Training Epoch: 9 [13312/46250]	Loss: 0.4443	LR: 0.020000
Training Epoch: 9 [13568/46250]	Loss: 0.3878	LR: 0.020000
Training Epoch: 9 [13824/46250]	Loss: 0.3861	LR: 0.020000
Training Epoch: 9 [14080/46250]	Loss: 0.3367	LR: 0.020000
Training Epoch: 9 [14336/46250]	Loss: 0.4437	LR: 0.020000
Training Epoch: 9 [14592/46250]	Loss: 0.3690	LR: 0.020000
Training Epoch: 9 [14848/46250]	Loss: 0.3922	LR: 0.020000
Training Epoch: 9 [15104/46250]	Loss: 0.4256	LR: 0.020000
Training Epoch: 9 [15360/46250]	Loss: 0.3952	LR: 0.020000
Training Epoch: 9 [15616/46250]	Loss: 0.3828	LR: 0.020000
Training Epoch: 9 [15872/46250]	Loss: 0.4340	LR: 0.020000
Training Epoch: 9 [16128/46250]	Loss: 0.4016	LR: 0.020000
Training Epoch: 9 [16384/46250]	Loss: 0.4466	LR: 0.020000
Training Epoch: 9 [16640/46250]	Loss: 0.4469	LR: 0.020000
Training Epoch: 9 [16896/46250]	Loss: 0.4735	LR: 0.020000
Training Epoch: 9 [17152/46250]	Loss: 0.3652	LR: 0.020000
Training Epoch: 9 [17408/46250]	Loss: 0.3357	LR: 0.020000
Training Epoch: 9 [17664/46250]	Loss: 0.4887	LR: 0.020000
Training Epoch: 9 [17920/46250]	Loss: 0.3714	LR: 0.020000
Training Epoch: 9 [18176/46250]	Loss: 0.4436	LR: 0.020000
Training Epoch: 9 [18432/46250]	Loss: 0.3869	LR: 0.020000
Training Epoch: 9 [18688/46250]	Loss: 0.3554	LR: 0.020000
Training Epoch: 9 [18944/46250]	Loss: 0.3238	LR: 0.020000
Training Epoch: 9 [19200/46250]	Loss: 0.4045	LR: 0.020000
Training Epoch: 9 [19456/46250]	Loss: 0.3749	LR: 0.020000
Training Epoch: 9 [19712/46250]	Loss: 0.4373	LR: 0.020000
Training Epoch: 9 [19968/46250]	Loss: 0.4195	LR: 0.020000
Training Epoch: 9 [20224/46250]	Loss: 0.4314	LR: 0.020000
Training Epoch: 9 [20480/46250]	Loss: 0.3870	LR: 0.020000
Training Epoch: 9 [20736/46250]	Loss: 0.4791	LR: 0.020000
Training Epoch: 9 [20992/46250]	Loss: 0.3904	LR: 0.020000
Training Epoch: 9 [21248/46250]	Loss: 0.4703	LR: 0.020000
Training Epoch: 9 [21504/46250]	Loss: 0.5008	LR: 0.020000
Training Epoch: 9 [21760/46250]	Loss: 0.4280	LR: 0.020000
Training Epoch: 9 [22016/46250]	Loss: 0.4358	LR: 0.020000
Training Epoch: 9 [22272/46250]	Loss: 0.3896	LR: 0.020000
Training Epoch: 9 [22528/46250]	Loss: 0.4489	LR: 0.020000
Training Epoch: 9 [22784/46250]	Loss: 0.3327	LR: 0.020000
Training Epoch: 9 [23040/46250]	Loss: 0.3971	LR: 0.020000
Training Epoch: 9 [23296/46250]	Loss: 0.3359	LR: 0.020000
Training Epoch: 9 [23552/46250]	Loss: 0.4496	LR: 0.020000
Training Epoch: 9 [23808/46250]	Loss: 0.4191	LR: 0.020000
Training Epoch: 9 [24064/46250]	Loss: 0.3382	LR: 0.020000
Training Epoch: 9 [24320/46250]	Loss: 0.4919	LR: 0.020000
Training Epoch: 9 [24576/46250]	Loss: 0.4101	LR: 0.020000
Training Epoch: 9 [24832/46250]	Loss: 0.4141	LR: 0.020000
Training Epoch: 9 [25088/46250]	Loss: 0.3557	LR: 0.020000
Training Epoch: 9 [25344/46250]	Loss: 0.3759	LR: 0.020000
Training Epoch: 9 [25600/46250]	Loss: 0.4121	LR: 0.020000
Training Epoch: 9 [25856/46250]	Loss: 0.3567	LR: 0.020000
Training Epoch: 9 [26112/46250]	Loss: 0.3581	LR: 0.020000
Training Epoch: 9 [26368/46250]	Loss: 0.3896	LR: 0.020000
Training Epoch: 9 [26624/46250]	Loss: 0.3702	LR: 0.020000
Training Epoch: 9 [26880/46250]	Loss: 0.3858	LR: 0.020000
Training Epoch: 9 [27136/46250]	Loss: 0.3489	LR: 0.020000
Training Epoch: 9 [27392/46250]	Loss: 0.3271	LR: 0.020000
Training Epoch: 9 [27648/46250]	Loss: 0.4686	LR: 0.020000
Training Epoch: 9 [27904/46250]	Loss: 0.4715	LR: 0.020000
Training Epoch: 9 [28160/46250]	Loss: 0.4220	LR: 0.020000
Training Epoch: 9 [28416/46250]	Loss: 0.3791	LR: 0.020000
Training Epoch: 9 [28672/46250]	Loss: 0.4308	LR: 0.020000
Training Epoch: 9 [28928/46250]	Loss: 0.4129	LR: 0.020000
Training Epoch: 9 [29184/46250]	Loss: 0.3767	LR: 0.020000
Training Epoch: 9 [29440/46250]	Loss: 0.4192	LR: 0.020000
Training Epoch: 9 [29696/46250]	Loss: 0.3507	LR: 0.020000
Training Epoch: 9 [29952/46250]	Loss: 0.3659	LR: 0.020000
Training Epoch: 9 [30208/46250]	Loss: 0.3862	LR: 0.020000
Training Epoch: 9 [30464/46250]	Loss: 0.3599	LR: 0.020000
Training Epoch: 9 [30720/46250]	Loss: 0.4471	LR: 0.020000
Training Epoch: 9 [30976/46250]	Loss: 0.4170	LR: 0.020000
Training Epoch: 9 [31232/46250]	Loss: 0.3948	LR: 0.020000
Training Epoch: 9 [31488/46250]	Loss: 0.4430	LR: 0.020000
Training Epoch: 9 [31744/46250]	Loss: 0.4093	LR: 0.020000
Training Epoch: 9 [32000/46250]	Loss: 0.4227	LR: 0.020000
Training Epoch: 9 [32256/46250]	Loss: 0.4429	LR: 0.020000
Training Epoch: 9 [32512/46250]	Loss: 0.4187	LR: 0.020000
Training Epoch: 9 [32768/46250]	Loss: 0.4173	LR: 0.020000
Training Epoch: 9 [33024/46250]	Loss: 0.3545	LR: 0.020000
Training Epoch: 9 [33280/46250]	Loss: 0.4016	LR: 0.020000
Training Epoch: 9 [33536/46250]	Loss: 0.3586	LR: 0.020000
Training Epoch: 9 [33792/46250]	Loss: 0.5078	LR: 0.020000
Training Epoch: 9 [34048/46250]	Loss: 0.4367	LR: 0.020000
Training Epoch: 9 [34304/46250]	Loss: 0.3170	LR: 0.020000
Training Epoch: 9 [34560/46250]	Loss: 0.4002	LR: 0.020000
Training Epoch: 9 [34816/46250]	Loss: 0.4372	LR: 0.020000
Training Epoch: 9 [35072/46250]	Loss: 0.4484	LR: 0.020000
Training Epoch: 9 [35328/46250]	Loss: 0.3513	LR: 0.020000
Training Epoch: 9 [35584/46250]	Loss: 0.3759	LR: 0.020000
Training Epoch: 9 [35840/46250]	Loss: 0.4538	LR: 0.020000
Training Epoch: 9 [36096/46250]	Loss: 0.4031	LR: 0.020000
Training Epoch: 9 [36352/46250]	Loss: 0.3835	LR: 0.020000
Training Epoch: 9 [36608/46250]	Loss: 0.3454	LR: 0.020000
Training Epoch: 9 [36864/46250]	Loss: 0.4348	LR: 0.020000
Training Epoch: 9 [37120/46250]	Loss: 0.4561	LR: 0.020000
Training Epoch: 9 [37376/46250]	Loss: 0.4091	LR: 0.020000
Training Epoch: 9 [37632/46250]	Loss: 0.4735	LR: 0.020000
Training Epoch: 9 [37888/46250]	Loss: 0.4945	LR: 0.020000
Training Epoch: 9 [38144/46250]	Loss: 0.3595	LR: 0.020000
Training Epoch: 9 [38400/46250]	Loss: 0.3807	LR: 0.020000
Training Epoch: 9 [38656/46250]	Loss: 0.4330	LR: 0.020000
Training Epoch: 9 [38912/46250]	Loss: 0.4670	LR: 0.020000
Training Epoch: 9 [39168/46250]	Loss: 0.3599	LR: 0.020000
Training Epoch: 9 [39424/46250]	Loss: 0.4929	LR: 0.020000
Training Epoch: 9 [39680/46250]	Loss: 0.4509	LR: 0.020000
Training Epoch: 9 [39936/46250]	Loss: 0.3792	LR: 0.020000
Training Epoch: 9 [40192/46250]	Loss: 0.4643	LR: 0.020000
Training Epoch: 9 [40448/46250]	Loss: 0.3426	LR: 0.020000
Training Epoch: 9 [40704/46250]	Loss: 0.3154	LR: 0.020000
Training Epoch: 9 [40960/46250]	Loss: 0.4827	LR: 0.020000
Training Epoch: 9 [41216/46250]	Loss: 0.4328	LR: 0.020000
Training Epoch: 9 [41472/46250]	Loss: 0.4541	LR: 0.020000
Training Epoch: 9 [41728/46250]	Loss: 0.3827	LR: 0.020000
Training Epoch: 9 [41984/46250]	Loss: 0.4101	LR: 0.020000
Training Epoch: 9 [42240/46250]	Loss: 0.4454	LR: 0.020000
Training Epoch: 9 [42496/46250]	Loss: 0.3595	LR: 0.020000
Training Epoch: 9 [42752/46250]	Loss: 0.4375	LR: 0.020000
Training Epoch: 9 [43008/46250]	Loss: 0.4921	LR: 0.020000
Training Epoch: 9 [43264/46250]	Loss: 0.3723	LR: 0.020000
Training Epoch: 9 [43520/46250]	Loss: 0.3725	LR: 0.020000
Training Epoch: 9 [43776/46250]	Loss: 0.3599	LR: 0.020000
Training Epoch: 9 [44032/46250]	Loss: 0.4267	LR: 0.020000
Training Epoch: 9 [44288/46250]	Loss: 0.3843	LR: 0.020000
Training Epoch: 9 [44544/46250]	Loss: 0.4961	LR: 0.020000
Training Epoch: 9 [44800/46250]	Loss: 0.4235	LR: 0.020000
Training Epoch: 9 [45056/46250]	Loss: 0.3922	LR: 0.020000
Training Epoch: 9 [45312/46250]	Loss: 0.4202	LR: 0.020000
Training Epoch: 9 [45568/46250]	Loss: 0.4223	LR: 0.020000
Training Epoch: 9 [45824/46250]	Loss: 0.3812	LR: 0.020000
Training Epoch: 9 [46080/46250]	Loss: 0.3854	LR: 0.020000
Training Epoch: 9 [46250/46250]	Loss: 0.3893	LR: 0.020000
Epoch 9 - Average Train Loss: 0.4061, Train Accuracy: 0.8585
Epoch 9 training time consumed: 28.09s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0017, Accuracy: 0.8589, Time consumed:0.85s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_19h_02m_22s/ResNet18-Cifar10-seed2-ret25-9-best.pth
Training Epoch: 10 [256/46250]	Loss: 0.3504	LR: 0.020000
Training Epoch: 10 [512/46250]	Loss: 0.4711	LR: 0.020000
Training Epoch: 10 [768/46250]	Loss: 0.3920	LR: 0.020000
Training Epoch: 10 [1024/46250]	Loss: 0.3771	LR: 0.020000
Training Epoch: 10 [1280/46250]	Loss: 0.3938	LR: 0.020000
Training Epoch: 10 [1536/46250]	Loss: 0.3688	LR: 0.020000
Training Epoch: 10 [1792/46250]	Loss: 0.4140	LR: 0.020000
Training Epoch: 10 [2048/46250]	Loss: 0.3333	LR: 0.020000
Training Epoch: 10 [2304/46250]	Loss: 0.3446	LR: 0.020000
Training Epoch: 10 [2560/46250]	Loss: 0.2838	LR: 0.020000
Training Epoch: 10 [2816/46250]	Loss: 0.3538	LR: 0.020000
Training Epoch: 10 [3072/46250]	Loss: 0.3775	LR: 0.020000
Training Epoch: 10 [3328/46250]	Loss: 0.4420	LR: 0.020000
Training Epoch: 10 [3584/46250]	Loss: 0.4743	LR: 0.020000
Training Epoch: 10 [3840/46250]	Loss: 0.4679	LR: 0.020000
Training Epoch: 10 [4096/46250]	Loss: 0.3664	LR: 0.020000
Training Epoch: 10 [4352/46250]	Loss: 0.3447	LR: 0.020000
Training Epoch: 10 [4608/46250]	Loss: 0.4085	LR: 0.020000
Training Epoch: 10 [4864/46250]	Loss: 0.3727	LR: 0.020000
Training Epoch: 10 [5120/46250]	Loss: 0.3678	LR: 0.020000
Training Epoch: 10 [5376/46250]	Loss: 0.3445	LR: 0.020000
Training Epoch: 10 [5632/46250]	Loss: 0.4524	LR: 0.020000
Training Epoch: 10 [5888/46250]	Loss: 0.3877	LR: 0.020000
Training Epoch: 10 [6144/46250]	Loss: 0.3646	LR: 0.020000
Training Epoch: 10 [6400/46250]	Loss: 0.3298	LR: 0.020000
Training Epoch: 10 [6656/46250]	Loss: 0.4486	LR: 0.020000
Training Epoch: 10 [6912/46250]	Loss: 0.4663	LR: 0.020000
Training Epoch: 10 [7168/46250]	Loss: 0.4561	LR: 0.020000
Training Epoch: 10 [7424/46250]	Loss: 0.3677	LR: 0.020000
Training Epoch: 10 [7680/46250]	Loss: 0.4267	LR: 0.020000
Training Epoch: 10 [7936/46250]	Loss: 0.3144	LR: 0.020000
Training Epoch: 10 [8192/46250]	Loss: 0.3006	LR: 0.020000
Training Epoch: 10 [8448/46250]	Loss: 0.3372	LR: 0.020000
Training Epoch: 10 [8704/46250]	Loss: 0.3993	LR: 0.020000
Training Epoch: 10 [8960/46250]	Loss: 0.3384	LR: 0.020000
Training Epoch: 10 [9216/46250]	Loss: 0.3620	LR: 0.020000
Training Epoch: 10 [9472/46250]	Loss: 0.3477	LR: 0.020000
Training Epoch: 10 [9728/46250]	Loss: 0.4297	LR: 0.020000
Training Epoch: 10 [9984/46250]	Loss: 0.4094	LR: 0.020000
Training Epoch: 10 [10240/46250]	Loss: 0.4940	LR: 0.020000
Training Epoch: 10 [10496/46250]	Loss: 0.4180	LR: 0.020000
Training Epoch: 10 [10752/46250]	Loss: 0.5510	LR: 0.020000
Training Epoch: 10 [11008/46250]	Loss: 0.3981	LR: 0.020000
Training Epoch: 10 [11264/46250]	Loss: 0.2692	LR: 0.020000
Training Epoch: 10 [11520/46250]	Loss: 0.3751	LR: 0.020000
Training Epoch: 10 [11776/46250]	Loss: 0.4106	LR: 0.020000
Training Epoch: 10 [12032/46250]	Loss: 0.3875	LR: 0.020000
Training Epoch: 10 [12288/46250]	Loss: 0.4449	LR: 0.020000
Training Epoch: 10 [12544/46250]	Loss: 0.3772	LR: 0.020000
Training Epoch: 10 [12800/46250]	Loss: 0.4060	LR: 0.020000
Training Epoch: 10 [13056/46250]	Loss: 0.3883	LR: 0.020000
Training Epoch: 10 [13312/46250]	Loss: 0.3116	LR: 0.020000
Training Epoch: 10 [13568/46250]	Loss: 0.3593	LR: 0.020000
Training Epoch: 10 [13824/46250]	Loss: 0.3919	LR: 0.020000
Training Epoch: 10 [14080/46250]	Loss: 0.3978	LR: 0.020000
Training Epoch: 10 [14336/46250]	Loss: 0.3252	LR: 0.020000
Training Epoch: 10 [14592/46250]	Loss: 0.3491	LR: 0.020000
Training Epoch: 10 [14848/46250]	Loss: 0.2442	LR: 0.020000
Training Epoch: 10 [15104/46250]	Loss: 0.4463	LR: 0.020000
Training Epoch: 10 [15360/46250]	Loss: 0.2888	LR: 0.020000
Training Epoch: 10 [15616/46250]	Loss: 0.3787	LR: 0.020000
Training Epoch: 10 [15872/46250]	Loss: 0.2953	LR: 0.020000
Training Epoch: 10 [16128/46250]	Loss: 0.3735	LR: 0.020000
Training Epoch: 10 [16384/46250]	Loss: 0.3451	LR: 0.020000
Training Epoch: 10 [16640/46250]	Loss: 0.4441	LR: 0.020000
Training Epoch: 10 [16896/46250]	Loss: 0.3920	LR: 0.020000
Training Epoch: 10 [17152/46250]	Loss: 0.4789	LR: 0.020000
Training Epoch: 10 [17408/46250]	Loss: 0.3250	LR: 0.020000
Training Epoch: 10 [17664/46250]	Loss: 0.4245	LR: 0.020000
Training Epoch: 10 [17920/46250]	Loss: 0.3969	LR: 0.020000
Training Epoch: 10 [18176/46250]	Loss: 0.3920	LR: 0.020000
Training Epoch: 10 [18432/46250]	Loss: 0.3810	LR: 0.020000
Training Epoch: 10 [18688/46250]	Loss: 0.3104	LR: 0.020000
Training Epoch: 10 [18944/46250]	Loss: 0.3982	LR: 0.020000
Training Epoch: 10 [19200/46250]	Loss: 0.3242	LR: 0.020000
Training Epoch: 10 [19456/46250]	Loss: 0.4145	LR: 0.020000
Training Epoch: 10 [19712/46250]	Loss: 0.2996	LR: 0.020000
Training Epoch: 10 [19968/46250]	Loss: 0.4433	LR: 0.020000
Training Epoch: 10 [20224/46250]	Loss: 0.4073	LR: 0.020000
Training Epoch: 10 [20480/46250]	Loss: 0.4003	LR: 0.020000
Training Epoch: 10 [20736/46250]	Loss: 0.3852	LR: 0.020000
Training Epoch: 10 [20992/46250]	Loss: 0.4088	LR: 0.020000
Training Epoch: 10 [21248/46250]	Loss: 0.3756	LR: 0.020000
Training Epoch: 10 [21504/46250]	Loss: 0.4616	LR: 0.020000
Training Epoch: 10 [21760/46250]	Loss: 0.3897	LR: 0.020000
Training Epoch: 10 [22016/46250]	Loss: 0.3107	LR: 0.020000
Training Epoch: 10 [22272/46250]	Loss: 0.3079	LR: 0.020000
Training Epoch: 10 [22528/46250]	Loss: 0.3960	LR: 0.020000
Training Epoch: 10 [22784/46250]	Loss: 0.3817	LR: 0.020000
Training Epoch: 10 [23040/46250]	Loss: 0.4258	LR: 0.020000
Training Epoch: 10 [23296/46250]	Loss: 0.4145	LR: 0.020000
Training Epoch: 10 [23552/46250]	Loss: 0.4045	LR: 0.020000
Training Epoch: 10 [23808/46250]	Loss: 0.3020	LR: 0.020000
Training Epoch: 10 [24064/46250]	Loss: 0.3444	LR: 0.020000
Training Epoch: 10 [24320/46250]	Loss: 0.3272	LR: 0.020000
Training Epoch: 10 [24576/46250]	Loss: 0.2950	LR: 0.020000
Training Epoch: 10 [24832/46250]	Loss: 0.4469	LR: 0.020000
Training Epoch: 10 [25088/46250]	Loss: 0.3818	LR: 0.020000
Training Epoch: 10 [25344/46250]	Loss: 0.4073	LR: 0.020000
Training Epoch: 10 [25600/46250]	Loss: 0.3577	LR: 0.020000
Training Epoch: 10 [25856/46250]	Loss: 0.3726	LR: 0.020000
Training Epoch: 10 [26112/46250]	Loss: 0.4527	LR: 0.020000
Training Epoch: 10 [26368/46250]	Loss: 0.3539	LR: 0.020000
Training Epoch: 10 [26624/46250]	Loss: 0.3538	LR: 0.020000
Training Epoch: 10 [26880/46250]	Loss: 0.4272	LR: 0.020000
Training Epoch: 10 [27136/46250]	Loss: 0.4313	LR: 0.020000
Training Epoch: 10 [27392/46250]	Loss: 0.3511	LR: 0.020000
Training Epoch: 10 [27648/46250]	Loss: 0.4323	LR: 0.020000
Training Epoch: 10 [27904/46250]	Loss: 0.4084	LR: 0.020000
Training Epoch: 10 [28160/46250]	Loss: 0.3584	LR: 0.020000
Training Epoch: 10 [28416/46250]	Loss: 0.3539	LR: 0.020000
Training Epoch: 10 [28672/46250]	Loss: 0.4088	LR: 0.020000
Training Epoch: 10 [28928/46250]	Loss: 0.3504	LR: 0.020000
Training Epoch: 10 [29184/46250]	Loss: 0.4316	LR: 0.020000
Training Epoch: 10 [29440/46250]	Loss: 0.4425	LR: 0.020000
Training Epoch: 10 [29696/46250]	Loss: 0.4474	LR: 0.020000
Training Epoch: 10 [29952/46250]	Loss: 0.3095	LR: 0.020000
Training Epoch: 10 [30208/46250]	Loss: 0.3911	LR: 0.020000
Training Epoch: 10 [30464/46250]	Loss: 0.3552	LR: 0.020000
Training Epoch: 10 [30720/46250]	Loss: 0.3687	LR: 0.020000
Training Epoch: 10 [30976/46250]	Loss: 0.3458	LR: 0.020000
Training Epoch: 10 [31232/46250]	Loss: 0.3960	LR: 0.020000
Training Epoch: 10 [31488/46250]	Loss: 0.3978	LR: 0.020000
Training Epoch: 10 [31744/46250]	Loss: 0.4825	LR: 0.020000
Training Epoch: 10 [32000/46250]	Loss: 0.4955	LR: 0.020000
Training Epoch: 10 [32256/46250]	Loss: 0.3831	LR: 0.020000
Training Epoch: 10 [32512/46250]	Loss: 0.3915	LR: 0.020000
Training Epoch: 10 [32768/46250]	Loss: 0.4203	LR: 0.020000
Training Epoch: 10 [33024/46250]	Loss: 0.4442	LR: 0.020000
Training Epoch: 10 [33280/46250]	Loss: 0.3184	LR: 0.020000
Training Epoch: 10 [33536/46250]	Loss: 0.2433	LR: 0.020000
Training Epoch: 10 [33792/46250]	Loss: 0.4135	LR: 0.020000
Training Epoch: 10 [34048/46250]	Loss: 0.3606	LR: 0.020000
Training Epoch: 10 [34304/46250]	Loss: 0.3213	LR: 0.020000
Training Epoch: 10 [34560/46250]	Loss: 0.3542	LR: 0.020000
Training Epoch: 10 [34816/46250]	Loss: 0.4562	LR: 0.020000
Training Epoch: 10 [35072/46250]	Loss: 0.3993	LR: 0.020000
Training Epoch: 10 [35328/46250]	Loss: 0.4119	LR: 0.020000
Training Epoch: 10 [35584/46250]	Loss: 0.4827	LR: 0.020000
Training Epoch: 10 [35840/46250]	Loss: 0.3604	LR: 0.020000
Training Epoch: 10 [36096/46250]	Loss: 0.3750	LR: 0.020000
Training Epoch: 10 [36352/46250]	Loss: 0.3483	LR: 0.020000
Training Epoch: 10 [36608/46250]	Loss: 0.4333	LR: 0.020000
Training Epoch: 10 [36864/46250]	Loss: 0.3772	LR: 0.020000
Training Epoch: 10 [37120/46250]	Loss: 0.4369	LR: 0.020000
Training Epoch: 10 [37376/46250]	Loss: 0.3304	LR: 0.020000
Training Epoch: 10 [37632/46250]	Loss: 0.3246	LR: 0.020000
Training Epoch: 10 [37888/46250]	Loss: 0.4047	LR: 0.020000
Training Epoch: 10 [38144/46250]	Loss: 0.2954	LR: 0.020000
Training Epoch: 10 [38400/46250]	Loss: 0.3597	LR: 0.020000
Training Epoch: 10 [38656/46250]	Loss: 0.4563	LR: 0.020000
Training Epoch: 10 [38912/46250]	Loss: 0.3027	LR: 0.020000
Training Epoch: 10 [39168/46250]	Loss: 0.3704	LR: 0.020000
Training Epoch: 10 [39424/46250]	Loss: 0.3809	LR: 0.020000
Training Epoch: 10 [39680/46250]	Loss: 0.3876	LR: 0.020000
Training Epoch: 10 [39936/46250]	Loss: 0.4280	LR: 0.020000
Training Epoch: 10 [40192/46250]	Loss: 0.3453	LR: 0.020000
Training Epoch: 10 [40448/46250]	Loss: 0.3116	LR: 0.020000
Training Epoch: 10 [40704/46250]	Loss: 0.4381	LR: 0.020000
Training Epoch: 10 [40960/46250]	Loss: 0.3584	LR: 0.020000
Training Epoch: 10 [41216/46250]	Loss: 0.4288	LR: 0.020000
Training Epoch: 10 [41472/46250]	Loss: 0.4533	LR: 0.020000
Training Epoch: 10 [41728/46250]	Loss: 0.4264	LR: 0.020000
Training Epoch: 10 [41984/46250]	Loss: 0.3754	LR: 0.020000
Training Epoch: 10 [42240/46250]	Loss: 0.3828	LR: 0.020000
Training Epoch: 10 [42496/46250]	Loss: 0.3181	LR: 0.020000
Training Epoch: 10 [42752/46250]	Loss: 0.3951	LR: 0.020000
Training Epoch: 10 [43008/46250]	Loss: 0.4222	LR: 0.020000
Training Epoch: 10 [43264/46250]	Loss: 0.3868	LR: 0.020000
Training Epoch: 10 [43520/46250]	Loss: 0.3426	LR: 0.020000
Training Epoch: 10 [43776/46250]	Loss: 0.3218	LR: 0.020000
Training Epoch: 10 [44032/46250]	Loss: 0.4638	LR: 0.020000
Training Epoch: 10 [44288/46250]	Loss: 0.4079	LR: 0.020000
Training Epoch: 10 [44544/46250]	Loss: 0.4188	LR: 0.020000
Training Epoch: 10 [44800/46250]	Loss: 0.4115	LR: 0.020000
Training Epoch: 10 [45056/46250]	Loss: 0.3601	LR: 0.020000
Training Epoch: 10 [45312/46250]	Loss: 0.3660	LR: 0.020000
Training Epoch: 10 [45568/46250]	Loss: 0.3435	LR: 0.020000
Training Epoch: 10 [45824/46250]	Loss: 0.3777	LR: 0.020000
Training Epoch: 10 [46080/46250]	Loss: 0.3373	LR: 0.020000
Training Epoch: 10 [46250/46250]	Loss: 0.2740	LR: 0.020000
Epoch 10 - Average Train Loss: 0.3832, Train Accuracy: 0.8656
Epoch 10 training time consumed: 27.72s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0016, Accuracy: 0.8653, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_19h_02m_22s/ResNet18-Cifar10-seed2-ret25-10-best.pth
Training Epoch: 11 [256/46250]	Loss: 0.4043	LR: 0.020000
Training Epoch: 11 [512/46250]	Loss: 0.4195	LR: 0.020000
Training Epoch: 11 [768/46250]	Loss: 0.3710	LR: 0.020000
Training Epoch: 11 [1024/46250]	Loss: 0.3536	LR: 0.020000
Training Epoch: 11 [1280/46250]	Loss: 0.4262	LR: 0.020000
Training Epoch: 11 [1536/46250]	Loss: 0.3910	LR: 0.020000
Training Epoch: 11 [1792/46250]	Loss: 0.3637	LR: 0.020000
Training Epoch: 11 [2048/46250]	Loss: 0.2959	LR: 0.020000
Training Epoch: 11 [2304/46250]	Loss: 0.3199	LR: 0.020000
Training Epoch: 11 [2560/46250]	Loss: 0.3475	LR: 0.020000
Training Epoch: 11 [2816/46250]	Loss: 0.3789	LR: 0.020000
Training Epoch: 11 [3072/46250]	Loss: 0.3888	LR: 0.020000
Training Epoch: 11 [3328/46250]	Loss: 0.3921	LR: 0.020000
Training Epoch: 11 [3584/46250]	Loss: 0.4014	LR: 0.020000
Training Epoch: 11 [3840/46250]	Loss: 0.3337	LR: 0.020000
Training Epoch: 11 [4096/46250]	Loss: 0.3818	LR: 0.020000
Training Epoch: 11 [4352/46250]	Loss: 0.2709	LR: 0.020000
Training Epoch: 11 [4608/46250]	Loss: 0.3297	LR: 0.020000
Training Epoch: 11 [4864/46250]	Loss: 0.3669	LR: 0.020000
Training Epoch: 11 [5120/46250]	Loss: 0.4014	LR: 0.020000
Training Epoch: 11 [5376/46250]	Loss: 0.2969	LR: 0.020000
Training Epoch: 11 [5632/46250]	Loss: 0.4105	LR: 0.020000
Training Epoch: 11 [5888/46250]	Loss: 0.2621	LR: 0.020000
Training Epoch: 11 [6144/46250]	Loss: 0.3489	LR: 0.020000
Training Epoch: 11 [6400/46250]	Loss: 0.3324	LR: 0.020000
Training Epoch: 11 [6656/46250]	Loss: 0.3666	LR: 0.020000
Training Epoch: 11 [6912/46250]	Loss: 0.4470	LR: 0.020000
Training Epoch: 11 [7168/46250]	Loss: 0.4095	LR: 0.020000
Training Epoch: 11 [7424/46250]	Loss: 0.3669	LR: 0.020000
Training Epoch: 11 [7680/46250]	Loss: 0.2888	LR: 0.020000
Training Epoch: 11 [7936/46250]	Loss: 0.4023	LR: 0.020000
Training Epoch: 11 [8192/46250]	Loss: 0.3492	LR: 0.020000
Training Epoch: 11 [8448/46250]	Loss: 0.4273	LR: 0.020000
Training Epoch: 11 [8704/46250]	Loss: 0.4352	LR: 0.020000
Training Epoch: 11 [8960/46250]	Loss: 0.4234	LR: 0.020000
Training Epoch: 11 [9216/46250]	Loss: 0.3332	LR: 0.020000
Training Epoch: 11 [9472/46250]	Loss: 0.3677	LR: 0.020000
Training Epoch: 11 [9728/46250]	Loss: 0.3223	LR: 0.020000
Training Epoch: 11 [9984/46250]	Loss: 0.3413	LR: 0.020000
Training Epoch: 11 [10240/46250]	Loss: 0.3277	LR: 0.020000
Training Epoch: 11 [10496/46250]	Loss: 0.3372	LR: 0.020000
Training Epoch: 11 [10752/46250]	Loss: 0.3113	LR: 0.020000
Training Epoch: 11 [11008/46250]	Loss: 0.3197	LR: 0.020000
Training Epoch: 11 [11264/46250]	Loss: 0.3591	LR: 0.020000
Training Epoch: 11 [11520/46250]	Loss: 0.2818	LR: 0.020000
Training Epoch: 11 [11776/46250]	Loss: 0.4292	LR: 0.020000
Training Epoch: 11 [12032/46250]	Loss: 0.3736	LR: 0.020000
Training Epoch: 11 [12288/46250]	Loss: 0.3231	LR: 0.020000
Training Epoch: 11 [12544/46250]	Loss: 0.3301	LR: 0.020000
Training Epoch: 11 [12800/46250]	Loss: 0.4096	LR: 0.020000
Training Epoch: 11 [13056/46250]	Loss: 0.2894	LR: 0.020000
Training Epoch: 11 [13312/46250]	Loss: 0.3479	LR: 0.020000
Training Epoch: 11 [13568/46250]	Loss: 0.3367	LR: 0.020000
Training Epoch: 11 [13824/46250]	Loss: 0.2844	LR: 0.020000
Training Epoch: 11 [14080/46250]	Loss: 0.3582	LR: 0.020000
Training Epoch: 11 [14336/46250]	Loss: 0.4847	LR: 0.020000
Training Epoch: 11 [14592/46250]	Loss: 0.3904	LR: 0.020000
Training Epoch: 11 [14848/46250]	Loss: 0.3459	LR: 0.020000
Training Epoch: 11 [15104/46250]	Loss: 0.3469	LR: 0.020000
Training Epoch: 11 [15360/46250]	Loss: 0.4209	LR: 0.020000
Training Epoch: 11 [15616/46250]	Loss: 0.4291	LR: 0.020000
Training Epoch: 11 [15872/46250]	Loss: 0.3762	LR: 0.020000
Training Epoch: 11 [16128/46250]	Loss: 0.3075	LR: 0.020000
Training Epoch: 11 [16384/46250]	Loss: 0.3397	LR: 0.020000
Training Epoch: 11 [16640/46250]	Loss: 0.3345	LR: 0.020000
Training Epoch: 11 [16896/46250]	Loss: 0.4037	LR: 0.020000
Training Epoch: 11 [17152/46250]	Loss: 0.4398	LR: 0.020000
Training Epoch: 11 [17408/46250]	Loss: 0.4417	LR: 0.020000
Training Epoch: 11 [17664/46250]	Loss: 0.3755	LR: 0.020000
Training Epoch: 11 [17920/46250]	Loss: 0.3448	LR: 0.020000
Training Epoch: 11 [18176/46250]	Loss: 0.4820	LR: 0.020000
Training Epoch: 11 [18432/46250]	Loss: 0.4424	LR: 0.020000
Training Epoch: 11 [18688/46250]	Loss: 0.4338	LR: 0.020000
Training Epoch: 11 [18944/46250]	Loss: 0.3534	LR: 0.020000
Training Epoch: 11 [19200/46250]	Loss: 0.3543	LR: 0.020000
Training Epoch: 11 [19456/46250]	Loss: 0.3860	LR: 0.020000
Training Epoch: 11 [19712/46250]	Loss: 0.3978	LR: 0.020000
Training Epoch: 11 [19968/46250]	Loss: 0.4133	LR: 0.020000
Training Epoch: 11 [20224/46250]	Loss: 0.3581	LR: 0.020000
Training Epoch: 11 [20480/46250]	Loss: 0.2714	LR: 0.020000
Training Epoch: 11 [20736/46250]	Loss: 0.3215	LR: 0.020000
Training Epoch: 11 [20992/46250]	Loss: 0.3133	LR: 0.020000
Training Epoch: 11 [21248/46250]	Loss: 0.3146	LR: 0.020000
Training Epoch: 11 [21504/46250]	Loss: 0.3099	LR: 0.020000
Training Epoch: 11 [21760/46250]	Loss: 0.3991	LR: 0.020000
Training Epoch: 11 [22016/46250]	Loss: 0.3146	LR: 0.020000
Training Epoch: 11 [22272/46250]	Loss: 0.4198	LR: 0.020000
Training Epoch: 11 [22528/46250]	Loss: 0.3620	LR: 0.020000
Training Epoch: 11 [22784/46250]	Loss: 0.3194	LR: 0.020000
Training Epoch: 11 [23040/46250]	Loss: 0.3189	LR: 0.020000
Training Epoch: 11 [23296/46250]	Loss: 0.4088	LR: 0.020000
Training Epoch: 11 [23552/46250]	Loss: 0.3783	LR: 0.020000
Training Epoch: 11 [23808/46250]	Loss: 0.3008	LR: 0.020000
Training Epoch: 11 [24064/46250]	Loss: 0.3334	LR: 0.020000
Training Epoch: 11 [24320/46250]	Loss: 0.4159	LR: 0.020000
Training Epoch: 11 [24576/46250]	Loss: 0.3512	LR: 0.020000
Training Epoch: 11 [24832/46250]	Loss: 0.4010	LR: 0.020000
Training Epoch: 11 [25088/46250]	Loss: 0.3284	LR: 0.020000
Training Epoch: 11 [25344/46250]	Loss: 0.3476	LR: 0.020000
Training Epoch: 11 [25600/46250]	Loss: 0.3293	LR: 0.020000
Training Epoch: 11 [25856/46250]	Loss: 0.4181	LR: 0.020000
Training Epoch: 11 [26112/46250]	Loss: 0.4368	LR: 0.020000
Training Epoch: 11 [26368/46250]	Loss: 0.4078	LR: 0.020000
Training Epoch: 11 [26624/46250]	Loss: 0.3289	LR: 0.020000
Training Epoch: 11 [26880/46250]	Loss: 0.4055	LR: 0.020000
Training Epoch: 11 [27136/46250]	Loss: 0.3777	LR: 0.020000
Training Epoch: 11 [27392/46250]	Loss: 0.3288	LR: 0.020000
Training Epoch: 11 [27648/46250]	Loss: 0.3362	LR: 0.020000
Training Epoch: 11 [27904/46250]	Loss: 0.3599	LR: 0.020000
Training Epoch: 11 [28160/46250]	Loss: 0.3457	LR: 0.020000
Training Epoch: 11 [28416/46250]	Loss: 0.3105	LR: 0.020000
Training Epoch: 11 [28672/46250]	Loss: 0.3746	LR: 0.020000
Training Epoch: 11 [28928/46250]	Loss: 0.3735	LR: 0.020000
Training Epoch: 11 [29184/46250]	Loss: 0.3290	LR: 0.020000
Training Epoch: 11 [29440/46250]	Loss: 0.3303	LR: 0.020000
Training Epoch: 11 [29696/46250]	Loss: 0.3489	LR: 0.020000
Training Epoch: 11 [29952/46250]	Loss: 0.3880	LR: 0.020000
Training Epoch: 11 [30208/46250]	Loss: 0.3187	LR: 0.020000
Training Epoch: 11 [30464/46250]	Loss: 0.2821	LR: 0.020000
Training Epoch: 11 [30720/46250]	Loss: 0.3609	LR: 0.020000
Training Epoch: 11 [30976/46250]	Loss: 0.3727	LR: 0.020000
Training Epoch: 11 [31232/46250]	Loss: 0.3802	LR: 0.020000
Training Epoch: 11 [31488/46250]	Loss: 0.3335	LR: 0.020000
Training Epoch: 11 [31744/46250]	Loss: 0.3383	LR: 0.020000
Training Epoch: 11 [32000/46250]	Loss: 0.4578	LR: 0.020000
Training Epoch: 11 [32256/46250]	Loss: 0.3522	LR: 0.020000
Training Epoch: 11 [32512/46250]	Loss: 0.3440	LR: 0.020000
Training Epoch: 11 [32768/46250]	Loss: 0.3721	LR: 0.020000
Training Epoch: 11 [33024/46250]	Loss: 0.3024	LR: 0.020000
Training Epoch: 11 [33280/46250]	Loss: 0.4523	LR: 0.020000
Training Epoch: 11 [33536/46250]	Loss: 0.3626	LR: 0.020000
Training Epoch: 11 [33792/46250]	Loss: 0.3826	LR: 0.020000
Training Epoch: 11 [34048/46250]	Loss: 0.3937	LR: 0.020000
Training Epoch: 11 [34304/46250]	Loss: 0.4874	LR: 0.020000
Training Epoch: 11 [34560/46250]	Loss: 0.3776	LR: 0.020000
Training Epoch: 11 [34816/46250]	Loss: 0.3985	LR: 0.020000
Training Epoch: 11 [35072/46250]	Loss: 0.4715	LR: 0.020000
Training Epoch: 11 [35328/46250]	Loss: 0.3718	LR: 0.020000
Training Epoch: 11 [35584/46250]	Loss: 0.2972	LR: 0.020000
Training Epoch: 11 [35840/46250]	Loss: 0.3954	LR: 0.020000
Training Epoch: 11 [36096/46250]	Loss: 0.3749	LR: 0.020000
Training Epoch: 11 [36352/46250]	Loss: 0.3294	LR: 0.020000
Training Epoch: 11 [36608/46250]	Loss: 0.4084	LR: 0.020000
Training Epoch: 11 [36864/46250]	Loss: 0.4224	LR: 0.020000
Training Epoch: 11 [37120/46250]	Loss: 0.3444	LR: 0.020000
Training Epoch: 11 [37376/46250]	Loss: 0.3756	LR: 0.020000
Training Epoch: 11 [37632/46250]	Loss: 0.3428	LR: 0.020000
Training Epoch: 11 [37888/46250]	Loss: 0.3510	LR: 0.020000
Training Epoch: 11 [38144/46250]	Loss: 0.4541	LR: 0.020000
Training Epoch: 11 [38400/46250]	Loss: 0.4444	LR: 0.020000
Training Epoch: 11 [38656/46250]	Loss: 0.3508	LR: 0.020000
Training Epoch: 11 [38912/46250]	Loss: 0.3999	LR: 0.020000
Training Epoch: 11 [39168/46250]	Loss: 0.3710	LR: 0.020000
Training Epoch: 11 [39424/46250]	Loss: 0.3682	LR: 0.020000
Training Epoch: 11 [39680/46250]	Loss: 0.3987	LR: 0.020000
Training Epoch: 11 [39936/46250]	Loss: 0.3786	LR: 0.020000
Training Epoch: 11 [40192/46250]	Loss: 0.4059	LR: 0.020000
Training Epoch: 11 [40448/46250]	Loss: 0.3202	LR: 0.020000
Training Epoch: 11 [40704/46250]	Loss: 0.3655	LR: 0.020000
Training Epoch: 11 [40960/46250]	Loss: 0.3558	LR: 0.020000
Training Epoch: 11 [41216/46250]	Loss: 0.2784	LR: 0.020000
Training Epoch: 11 [41472/46250]	Loss: 0.2862	LR: 0.020000
Training Epoch: 11 [41728/46250]	Loss: 0.3389	LR: 0.020000
Training Epoch: 11 [41984/46250]	Loss: 0.4346	LR: 0.020000
Training Epoch: 11 [42240/46250]	Loss: 0.3547	LR: 0.020000
Training Epoch: 11 [42496/46250]	Loss: 0.3858	LR: 0.020000
Training Epoch: 11 [42752/46250]	Loss: 0.3709	LR: 0.020000
Training Epoch: 11 [43008/46250]	Loss: 0.3543	LR: 0.020000
Training Epoch: 11 [43264/46250]	Loss: 0.4883	LR: 0.020000
Training Epoch: 11 [43520/46250]	Loss: 0.3105	LR: 0.020000
Training Epoch: 11 [43776/46250]	Loss: 0.3052	LR: 0.020000
Training Epoch: 11 [44032/46250]	Loss: 0.3939	LR: 0.020000
Training Epoch: 11 [44288/46250]	Loss: 0.3933	LR: 0.020000
Training Epoch: 11 [44544/46250]	Loss: 0.3496	LR: 0.020000
Training Epoch: 11 [44800/46250]	Loss: 0.3377	LR: 0.020000
Training Epoch: 11 [45056/46250]	Loss: 0.3662	LR: 0.020000
Training Epoch: 11 [45312/46250]	Loss: 0.3792	LR: 0.020000
Training Epoch: 11 [45568/46250]	Loss: 0.3610	LR: 0.020000
Training Epoch: 11 [45824/46250]	Loss: 0.3661	LR: 0.020000
Training Epoch: 11 [46080/46250]	Loss: 0.3980	LR: 0.020000
Training Epoch: 11 [46250/46250]	Loss: 0.3634	LR: 0.020000
Epoch 11 - Average Train Loss: 0.3665, Train Accuracy: 0.8717
Epoch 11 training time consumed: 27.81s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0016, Accuracy: 0.8658, Time consumed:0.85s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_19h_02m_22s/ResNet18-Cifar10-seed2-ret25-11-best.pth
Training Epoch: 12 [256/46250]	Loss: 0.3292	LR: 0.004000
Training Epoch: 12 [512/46250]	Loss: 0.3366	LR: 0.004000
Training Epoch: 12 [768/46250]	Loss: 0.2926	LR: 0.004000
Training Epoch: 12 [1024/46250]	Loss: 0.3120	LR: 0.004000
Training Epoch: 12 [1280/46250]	Loss: 0.3439	LR: 0.004000
Training Epoch: 12 [1536/46250]	Loss: 0.3693	LR: 0.004000
Training Epoch: 12 [1792/46250]	Loss: 0.3166	LR: 0.004000
Training Epoch: 12 [2048/46250]	Loss: 0.3404	LR: 0.004000
Training Epoch: 12 [2304/46250]	Loss: 0.3593	LR: 0.004000
Training Epoch: 12 [2560/46250]	Loss: 0.3589	LR: 0.004000
Training Epoch: 12 [2816/46250]	Loss: 0.3134	LR: 0.004000
Training Epoch: 12 [3072/46250]	Loss: 0.4032	LR: 0.004000
Training Epoch: 12 [3328/46250]	Loss: 0.3585	LR: 0.004000
Training Epoch: 12 [3584/46250]	Loss: 0.3118	LR: 0.004000
Training Epoch: 12 [3840/46250]	Loss: 0.3215	LR: 0.004000
Training Epoch: 12 [4096/46250]	Loss: 0.3402	LR: 0.004000
Training Epoch: 12 [4352/46250]	Loss: 0.3889	LR: 0.004000
Training Epoch: 12 [4608/46250]	Loss: 0.4202	LR: 0.004000
Training Epoch: 12 [4864/46250]	Loss: 0.2950	LR: 0.004000
Training Epoch: 12 [5120/46250]	Loss: 0.3151	LR: 0.004000
Training Epoch: 12 [5376/46250]	Loss: 0.3790	LR: 0.004000
Training Epoch: 12 [5632/46250]	Loss: 0.3650	LR: 0.004000
Training Epoch: 12 [5888/46250]	Loss: 0.3087	LR: 0.004000
Training Epoch: 12 [6144/46250]	Loss: 0.3473	LR: 0.004000
Training Epoch: 12 [6400/46250]	Loss: 0.2841	LR: 0.004000
Training Epoch: 12 [6656/46250]	Loss: 0.3046	LR: 0.004000
Training Epoch: 12 [6912/46250]	Loss: 0.4146	LR: 0.004000
Training Epoch: 12 [7168/46250]	Loss: 0.3034	LR: 0.004000
Training Epoch: 12 [7424/46250]	Loss: 0.3263	LR: 0.004000
Training Epoch: 12 [7680/46250]	Loss: 0.3206	LR: 0.004000
Training Epoch: 12 [7936/46250]	Loss: 0.2889	LR: 0.004000
Training Epoch: 12 [8192/46250]	Loss: 0.4108	LR: 0.004000
Training Epoch: 12 [8448/46250]	Loss: 0.3802	LR: 0.004000
Training Epoch: 12 [8704/46250]	Loss: 0.3185	LR: 0.004000
Training Epoch: 12 [8960/46250]	Loss: 0.2853	LR: 0.004000
Training Epoch: 12 [9216/46250]	Loss: 0.2771	LR: 0.004000
Training Epoch: 12 [9472/46250]	Loss: 0.3590	LR: 0.004000
Training Epoch: 12 [9728/46250]	Loss: 0.3169	LR: 0.004000
Training Epoch: 12 [9984/46250]	Loss: 0.3131	LR: 0.004000
Training Epoch: 12 [10240/46250]	Loss: 0.3467	LR: 0.004000
Training Epoch: 12 [10496/46250]	Loss: 0.2818	LR: 0.004000
Training Epoch: 12 [10752/46250]	Loss: 0.3876	LR: 0.004000
Training Epoch: 12 [11008/46250]	Loss: 0.3674	LR: 0.004000
Training Epoch: 12 [11264/46250]	Loss: 0.3343	LR: 0.004000
Training Epoch: 12 [11520/46250]	Loss: 0.3144	LR: 0.004000
Training Epoch: 12 [11776/46250]	Loss: 0.3100	LR: 0.004000
Training Epoch: 12 [12032/46250]	Loss: 0.3769	LR: 0.004000
Training Epoch: 12 [12288/46250]	Loss: 0.2945	LR: 0.004000
Training Epoch: 12 [12544/46250]	Loss: 0.3256	LR: 0.004000
Training Epoch: 12 [12800/46250]	Loss: 0.3593	LR: 0.004000
Training Epoch: 12 [13056/46250]	Loss: 0.3549	LR: 0.004000
Training Epoch: 12 [13312/46250]	Loss: 0.2328	LR: 0.004000
Training Epoch: 12 [13568/46250]	Loss: 0.3498	LR: 0.004000
Training Epoch: 12 [13824/46250]	Loss: 0.2865	LR: 0.004000
Training Epoch: 12 [14080/46250]	Loss: 0.3742	LR: 0.004000
Training Epoch: 12 [14336/46250]	Loss: 0.3388	LR: 0.004000
Training Epoch: 12 [14592/46250]	Loss: 0.3966	LR: 0.004000
Training Epoch: 12 [14848/46250]	Loss: 0.2916	LR: 0.004000
Training Epoch: 12 [15104/46250]	Loss: 0.4160	LR: 0.004000
Training Epoch: 12 [15360/46250]	Loss: 0.3088	LR: 0.004000
Training Epoch: 12 [15616/46250]	Loss: 0.3895	LR: 0.004000
Training Epoch: 12 [15872/46250]	Loss: 0.3730	LR: 0.004000
Training Epoch: 12 [16128/46250]	Loss: 0.3719	LR: 0.004000
Training Epoch: 12 [16384/46250]	Loss: 0.3918	LR: 0.004000
Training Epoch: 12 [16640/46250]	Loss: 0.2196	LR: 0.004000
Training Epoch: 12 [16896/46250]	Loss: 0.3483	LR: 0.004000
Training Epoch: 12 [17152/46250]	Loss: 0.2729	LR: 0.004000
Training Epoch: 12 [17408/46250]	Loss: 0.2871	LR: 0.004000
Training Epoch: 12 [17664/46250]	Loss: 0.2928	LR: 0.004000
Training Epoch: 12 [17920/46250]	Loss: 0.2996	LR: 0.004000
Training Epoch: 12 [18176/46250]	Loss: 0.4376	LR: 0.004000
Training Epoch: 12 [18432/46250]	Loss: 0.3477	LR: 0.004000
Training Epoch: 12 [18688/46250]	Loss: 0.3470	LR: 0.004000
Training Epoch: 12 [18944/46250]	Loss: 0.2672	LR: 0.004000
Training Epoch: 12 [19200/46250]	Loss: 0.3362	LR: 0.004000
Training Epoch: 12 [19456/46250]	Loss: 0.3596	LR: 0.004000
Training Epoch: 12 [19712/46250]	Loss: 0.2857	LR: 0.004000
Training Epoch: 12 [19968/46250]	Loss: 0.2467	LR: 0.004000
Training Epoch: 12 [20224/46250]	Loss: 0.3321	LR: 0.004000
Training Epoch: 12 [20480/46250]	Loss: 0.3720	LR: 0.004000
Training Epoch: 12 [20736/46250]	Loss: 0.2890	LR: 0.004000
Training Epoch: 12 [20992/46250]	Loss: 0.2902	LR: 0.004000
Training Epoch: 12 [21248/46250]	Loss: 0.2633	LR: 0.004000
Training Epoch: 12 [21504/46250]	Loss: 0.3033	LR: 0.004000
Training Epoch: 12 [21760/46250]	Loss: 0.2938	LR: 0.004000
Training Epoch: 12 [22016/46250]	Loss: 0.2988	LR: 0.004000
Training Epoch: 12 [22272/46250]	Loss: 0.2945	LR: 0.004000
Training Epoch: 12 [22528/46250]	Loss: 0.2418	LR: 0.004000
Training Epoch: 12 [22784/46250]	Loss: 0.1998	LR: 0.004000
Training Epoch: 12 [23040/46250]	Loss: 0.3051	LR: 0.004000
Training Epoch: 12 [23296/46250]	Loss: 0.3728	LR: 0.004000
Training Epoch: 12 [23552/46250]	Loss: 0.3265	LR: 0.004000
Training Epoch: 12 [23808/46250]	Loss: 0.2828	LR: 0.004000
Training Epoch: 12 [24064/46250]	Loss: 0.3018	LR: 0.004000
Training Epoch: 12 [24320/46250]	Loss: 0.3205	LR: 0.004000
Training Epoch: 12 [24576/46250]	Loss: 0.3056	LR: 0.004000
Training Epoch: 12 [24832/46250]	Loss: 0.3046	LR: 0.004000
Training Epoch: 12 [25088/46250]	Loss: 0.2788	LR: 0.004000
Training Epoch: 12 [25344/46250]	Loss: 0.3220	LR: 0.004000
Training Epoch: 12 [25600/46250]	Loss: 0.3034	LR: 0.004000
Training Epoch: 12 [25856/46250]	Loss: 0.2972	LR: 0.004000
Training Epoch: 12 [26112/46250]	Loss: 0.3235	LR: 0.004000
Training Epoch: 12 [26368/46250]	Loss: 0.3569	LR: 0.004000
Training Epoch: 12 [26624/46250]	Loss: 0.3485	LR: 0.004000
Training Epoch: 12 [26880/46250]	Loss: 0.2379	LR: 0.004000
Training Epoch: 12 [27136/46250]	Loss: 0.3500	LR: 0.004000
Training Epoch: 12 [27392/46250]	Loss: 0.4216	LR: 0.004000
Training Epoch: 12 [27648/46250]	Loss: 0.3262	LR: 0.004000
Training Epoch: 12 [27904/46250]	Loss: 0.2826	LR: 0.004000
Training Epoch: 12 [28160/46250]	Loss: 0.3466	LR: 0.004000
Training Epoch: 12 [28416/46250]	Loss: 0.3492	LR: 0.004000
Training Epoch: 12 [28672/46250]	Loss: 0.2881	LR: 0.004000
Training Epoch: 12 [28928/46250]	Loss: 0.2923	LR: 0.004000
Training Epoch: 12 [29184/46250]	Loss: 0.2929	LR: 0.004000
Training Epoch: 12 [29440/46250]	Loss: 0.3441	LR: 0.004000
Training Epoch: 12 [29696/46250]	Loss: 0.2681	LR: 0.004000
Training Epoch: 12 [29952/46250]	Loss: 0.3211	LR: 0.004000
Training Epoch: 12 [30208/46250]	Loss: 0.3546	LR: 0.004000
Training Epoch: 12 [30464/46250]	Loss: 0.2258	LR: 0.004000
Training Epoch: 12 [30720/46250]	Loss: 0.2706	LR: 0.004000
Training Epoch: 12 [30976/46250]	Loss: 0.3437	LR: 0.004000
Training Epoch: 12 [31232/46250]	Loss: 0.3830	LR: 0.004000
Training Epoch: 12 [31488/46250]	Loss: 0.3372	LR: 0.004000
Training Epoch: 12 [31744/46250]	Loss: 0.3143	LR: 0.004000
Training Epoch: 12 [32000/46250]	Loss: 0.2536	LR: 0.004000
Training Epoch: 12 [32256/46250]	Loss: 0.3537	LR: 0.004000
Training Epoch: 12 [32512/46250]	Loss: 0.3039	LR: 0.004000
Training Epoch: 12 [32768/46250]	Loss: 0.3178	LR: 0.004000
Training Epoch: 12 [33024/46250]	Loss: 0.4227	LR: 0.004000
Training Epoch: 12 [33280/46250]	Loss: 0.2329	LR: 0.004000
Training Epoch: 12 [33536/46250]	Loss: 0.3125	LR: 0.004000
Training Epoch: 12 [33792/46250]	Loss: 0.3540	LR: 0.004000
Training Epoch: 12 [34048/46250]	Loss: 0.3022	LR: 0.004000
Training Epoch: 12 [34304/46250]	Loss: 0.3528	LR: 0.004000
Training Epoch: 12 [34560/46250]	Loss: 0.3366	LR: 0.004000
Training Epoch: 12 [34816/46250]	Loss: 0.3000	LR: 0.004000
Training Epoch: 12 [35072/46250]	Loss: 0.2835	LR: 0.004000
Training Epoch: 12 [35328/46250]	Loss: 0.3704	LR: 0.004000
Training Epoch: 12 [35584/46250]	Loss: 0.3122	LR: 0.004000
Training Epoch: 12 [35840/46250]	Loss: 0.2891	LR: 0.004000
Training Epoch: 12 [36096/46250]	Loss: 0.2762	LR: 0.004000
Training Epoch: 12 [36352/46250]	Loss: 0.3033	LR: 0.004000
Training Epoch: 12 [36608/46250]	Loss: 0.2580	LR: 0.004000
Training Epoch: 12 [36864/46250]	Loss: 0.3402	LR: 0.004000
Training Epoch: 12 [37120/46250]	Loss: 0.2726	LR: 0.004000
Training Epoch: 12 [37376/46250]	Loss: 0.3617	LR: 0.004000
Training Epoch: 12 [37632/46250]	Loss: 0.3426	LR: 0.004000
Training Epoch: 12 [37888/46250]	Loss: 0.2937	LR: 0.004000
Training Epoch: 12 [38144/46250]	Loss: 0.2673	LR: 0.004000
Training Epoch: 12 [38400/46250]	Loss: 0.3236	LR: 0.004000
Training Epoch: 12 [38656/46250]	Loss: 0.2835	LR: 0.004000
Training Epoch: 12 [38912/46250]	Loss: 0.2973	LR: 0.004000
Training Epoch: 12 [39168/46250]	Loss: 0.2696	LR: 0.004000
Training Epoch: 12 [39424/46250]	Loss: 0.2659	LR: 0.004000
Training Epoch: 12 [39680/46250]	Loss: 0.3474	LR: 0.004000
Training Epoch: 12 [39936/46250]	Loss: 0.3112	LR: 0.004000
Training Epoch: 12 [40192/46250]	Loss: 0.3686	LR: 0.004000
Training Epoch: 12 [40448/46250]	Loss: 0.2934	LR: 0.004000
Training Epoch: 12 [40704/46250]	Loss: 0.3241	LR: 0.004000
Training Epoch: 12 [40960/46250]	Loss: 0.3220	LR: 0.004000
Training Epoch: 12 [41216/46250]	Loss: 0.3525	LR: 0.004000
Training Epoch: 12 [41472/46250]	Loss: 0.2619	LR: 0.004000
Training Epoch: 12 [41728/46250]	Loss: 0.2277	LR: 0.004000
Training Epoch: 12 [41984/46250]	Loss: 0.3415	LR: 0.004000
Training Epoch: 12 [42240/46250]	Loss: 0.2815	LR: 0.004000
Training Epoch: 12 [42496/46250]	Loss: 0.2864	LR: 0.004000
Training Epoch: 12 [42752/46250]	Loss: 0.2837	LR: 0.004000
Training Epoch: 12 [43008/46250]	Loss: 0.3136	LR: 0.004000
Training Epoch: 12 [43264/46250]	Loss: 0.3209	LR: 0.004000
Training Epoch: 12 [43520/46250]	Loss: 0.3168	LR: 0.004000
Training Epoch: 12 [43776/46250]	Loss: 0.2961	LR: 0.004000
Training Epoch: 12 [44032/46250]	Loss: 0.2807	LR: 0.004000
Training Epoch: 12 [44288/46250]	Loss: 0.2579	LR: 0.004000
Training Epoch: 12 [44544/46250]	Loss: 0.3822	LR: 0.004000
Training Epoch: 12 [44800/46250]	Loss: 0.3646	LR: 0.004000
Training Epoch: 12 [45056/46250]	Loss: 0.2772	LR: 0.004000
Training Epoch: 12 [45312/46250]	Loss: 0.2693	LR: 0.004000
Training Epoch: 12 [45568/46250]	Loss: 0.3362	LR: 0.004000
Training Epoch: 12 [45824/46250]	Loss: 0.2883	LR: 0.004000
Training Epoch: 12 [46080/46250]	Loss: 0.2847	LR: 0.004000
Training Epoch: 12 [46250/46250]	Loss: 0.3221	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3199, Train Accuracy: 0.8881
Epoch 12 training time consumed: 27.64s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0014, Accuracy: 0.8835, Time consumed:0.87s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_19h_02m_22s/ResNet18-Cifar10-seed2-ret25-12-best.pth
Training Epoch: 13 [256/46250]	Loss: 0.2889	LR: 0.004000
Training Epoch: 13 [512/46250]	Loss: 0.3170	LR: 0.004000
Training Epoch: 13 [768/46250]	Loss: 0.3496	LR: 0.004000
Training Epoch: 13 [1024/46250]	Loss: 0.2996	LR: 0.004000
Training Epoch: 13 [1280/46250]	Loss: 0.2594	LR: 0.004000
Training Epoch: 13 [1536/46250]	Loss: 0.3253	LR: 0.004000
Training Epoch: 13 [1792/46250]	Loss: 0.2971	LR: 0.004000
Training Epoch: 13 [2048/46250]	Loss: 0.2493	LR: 0.004000
Training Epoch: 13 [2304/46250]	Loss: 0.4023	LR: 0.004000
Training Epoch: 13 [2560/46250]	Loss: 0.2774	LR: 0.004000
Training Epoch: 13 [2816/46250]	Loss: 0.3115	LR: 0.004000
Training Epoch: 13 [3072/46250]	Loss: 0.2698	LR: 0.004000
Training Epoch: 13 [3328/46250]	Loss: 0.2944	LR: 0.004000
Training Epoch: 13 [3584/46250]	Loss: 0.2194	LR: 0.004000
Training Epoch: 13 [3840/46250]	Loss: 0.3000	LR: 0.004000
Training Epoch: 13 [4096/46250]	Loss: 0.3453	LR: 0.004000
Training Epoch: 13 [4352/46250]	Loss: 0.3134	LR: 0.004000
Training Epoch: 13 [4608/46250]	Loss: 0.2820	LR: 0.004000
Training Epoch: 13 [4864/46250]	Loss: 0.3033	LR: 0.004000
Training Epoch: 13 [5120/46250]	Loss: 0.3521	LR: 0.004000
Training Epoch: 13 [5376/46250]	Loss: 0.3172	LR: 0.004000
Training Epoch: 13 [5632/46250]	Loss: 0.3118	LR: 0.004000
Training Epoch: 13 [5888/46250]	Loss: 0.2856	LR: 0.004000
Training Epoch: 13 [6144/46250]	Loss: 0.3064	LR: 0.004000
Training Epoch: 13 [6400/46250]	Loss: 0.3479	LR: 0.004000
Training Epoch: 13 [6656/46250]	Loss: 0.3800	LR: 0.004000
Training Epoch: 13 [6912/46250]	Loss: 0.2832	LR: 0.004000
Training Epoch: 13 [7168/46250]	Loss: 0.2632	LR: 0.004000
Training Epoch: 13 [7424/46250]	Loss: 0.2484	LR: 0.004000
Training Epoch: 13 [7680/46250]	Loss: 0.3258	LR: 0.004000
Training Epoch: 13 [7936/46250]	Loss: 0.2916	LR: 0.004000
Training Epoch: 13 [8192/46250]	Loss: 0.2949	LR: 0.004000
Training Epoch: 13 [8448/46250]	Loss: 0.2583	LR: 0.004000
Training Epoch: 13 [8704/46250]	Loss: 0.2859	LR: 0.004000
Training Epoch: 13 [8960/46250]	Loss: 0.2342	LR: 0.004000
Training Epoch: 13 [9216/46250]	Loss: 0.3407	LR: 0.004000
Training Epoch: 13 [9472/46250]	Loss: 0.3280	LR: 0.004000
Training Epoch: 13 [9728/46250]	Loss: 0.3394	LR: 0.004000
Training Epoch: 13 [9984/46250]	Loss: 0.3365	LR: 0.004000
Training Epoch: 13 [10240/46250]	Loss: 0.2641	LR: 0.004000
Training Epoch: 13 [10496/46250]	Loss: 0.3327	LR: 0.004000
Training Epoch: 13 [10752/46250]	Loss: 0.2878	LR: 0.004000
Training Epoch: 13 [11008/46250]	Loss: 0.3011	LR: 0.004000
Training Epoch: 13 [11264/46250]	Loss: 0.3743	LR: 0.004000
Training Epoch: 13 [11520/46250]	Loss: 0.2874	LR: 0.004000
Training Epoch: 13 [11776/46250]	Loss: 0.3191	LR: 0.004000
Training Epoch: 13 [12032/46250]	Loss: 0.3025	LR: 0.004000
Training Epoch: 13 [12288/46250]	Loss: 0.3136	LR: 0.004000
Training Epoch: 13 [12544/46250]	Loss: 0.3011	LR: 0.004000
Training Epoch: 13 [12800/46250]	Loss: 0.3810	LR: 0.004000
Training Epoch: 13 [13056/46250]	Loss: 0.3538	LR: 0.004000
Training Epoch: 13 [13312/46250]	Loss: 0.2630	LR: 0.004000
Training Epoch: 13 [13568/46250]	Loss: 0.3678	LR: 0.004000
Training Epoch: 13 [13824/46250]	Loss: 0.3110	LR: 0.004000
Training Epoch: 13 [14080/46250]	Loss: 0.2964	LR: 0.004000
Training Epoch: 13 [14336/46250]	Loss: 0.2360	LR: 0.004000
Training Epoch: 13 [14592/46250]	Loss: 0.3429	LR: 0.004000
Training Epoch: 13 [14848/46250]	Loss: 0.2953	LR: 0.004000
Training Epoch: 13 [15104/46250]	Loss: 0.3069	LR: 0.004000
Training Epoch: 13 [15360/46250]	Loss: 0.3433	LR: 0.004000
Training Epoch: 13 [15616/46250]	Loss: 0.3495	LR: 0.004000
Training Epoch: 13 [15872/46250]	Loss: 0.3194	LR: 0.004000
Training Epoch: 13 [16128/46250]	Loss: 0.2391	LR: 0.004000
Training Epoch: 13 [16384/46250]	Loss: 0.3484	LR: 0.004000
Training Epoch: 13 [16640/46250]	Loss: 0.2362	LR: 0.004000
Training Epoch: 13 [16896/46250]	Loss: 0.2948	LR: 0.004000
Training Epoch: 13 [17152/46250]	Loss: 0.2988	LR: 0.004000
Training Epoch: 13 [17408/46250]	Loss: 0.2319	LR: 0.004000
Training Epoch: 13 [17664/46250]	Loss: 0.3905	LR: 0.004000
Training Epoch: 13 [17920/46250]	Loss: 0.2838	LR: 0.004000
Training Epoch: 13 [18176/46250]	Loss: 0.3060	LR: 0.004000
Training Epoch: 13 [18432/46250]	Loss: 0.3450	LR: 0.004000
Training Epoch: 13 [18688/46250]	Loss: 0.2979	LR: 0.004000
Training Epoch: 13 [18944/46250]	Loss: 0.3097	LR: 0.004000
Training Epoch: 13 [19200/46250]	Loss: 0.2384	LR: 0.004000
Training Epoch: 13 [19456/46250]	Loss: 0.3226	LR: 0.004000
Training Epoch: 13 [19712/46250]	Loss: 0.2452	LR: 0.004000
Training Epoch: 13 [19968/46250]	Loss: 0.2846	LR: 0.004000
Training Epoch: 13 [20224/46250]	Loss: 0.3421	LR: 0.004000
Training Epoch: 13 [20480/46250]	Loss: 0.3807	LR: 0.004000
Training Epoch: 13 [20736/46250]	Loss: 0.2664	LR: 0.004000
Training Epoch: 13 [20992/46250]	Loss: 0.3156	LR: 0.004000
Training Epoch: 13 [21248/46250]	Loss: 0.2640	LR: 0.004000
Training Epoch: 13 [21504/46250]	Loss: 0.2972	LR: 0.004000
Training Epoch: 13 [21760/46250]	Loss: 0.2981	LR: 0.004000
Training Epoch: 13 [22016/46250]	Loss: 0.2699	LR: 0.004000
Training Epoch: 13 [22272/46250]	Loss: 0.2520	LR: 0.004000
Training Epoch: 13 [22528/46250]	Loss: 0.2969	LR: 0.004000
Training Epoch: 13 [22784/46250]	Loss: 0.4037	LR: 0.004000
Training Epoch: 13 [23040/46250]	Loss: 0.3118	LR: 0.004000
Training Epoch: 13 [23296/46250]	Loss: 0.3989	LR: 0.004000
Training Epoch: 13 [23552/46250]	Loss: 0.3018	LR: 0.004000
Training Epoch: 13 [23808/46250]	Loss: 0.2519	LR: 0.004000
Training Epoch: 13 [24064/46250]	Loss: 0.3472	LR: 0.004000
Training Epoch: 13 [24320/46250]	Loss: 0.2570	LR: 0.004000
Training Epoch: 13 [24576/46250]	Loss: 0.2798	LR: 0.004000
Training Epoch: 13 [24832/46250]	Loss: 0.3161	LR: 0.004000
Training Epoch: 13 [25088/46250]	Loss: 0.2445	LR: 0.004000
Training Epoch: 13 [25344/46250]	Loss: 0.2772	LR: 0.004000
Training Epoch: 13 [25600/46250]	Loss: 0.2821	LR: 0.004000
Training Epoch: 13 [25856/46250]	Loss: 0.3079	LR: 0.004000
Training Epoch: 13 [26112/46250]	Loss: 0.3369	LR: 0.004000
Training Epoch: 13 [26368/46250]	Loss: 0.2827	LR: 0.004000
Training Epoch: 13 [26624/46250]	Loss: 0.3174	LR: 0.004000
Training Epoch: 13 [26880/46250]	Loss: 0.3665	LR: 0.004000
Training Epoch: 13 [27136/46250]	Loss: 0.2858	LR: 0.004000
Training Epoch: 13 [27392/46250]	Loss: 0.3715	LR: 0.004000
Training Epoch: 13 [27648/46250]	Loss: 0.3145	LR: 0.004000
Training Epoch: 13 [27904/46250]	Loss: 0.2805	LR: 0.004000
Training Epoch: 13 [28160/46250]	Loss: 0.3554	LR: 0.004000
Training Epoch: 13 [28416/46250]	Loss: 0.3150	LR: 0.004000
Training Epoch: 13 [28672/46250]	Loss: 0.3307	LR: 0.004000
Training Epoch: 13 [28928/46250]	Loss: 0.3602	LR: 0.004000
Training Epoch: 13 [29184/46250]	Loss: 0.3257	LR: 0.004000
Training Epoch: 13 [29440/46250]	Loss: 0.2833	LR: 0.004000
Training Epoch: 13 [29696/46250]	Loss: 0.2809	LR: 0.004000
Training Epoch: 13 [29952/46250]	Loss: 0.2598	LR: 0.004000
Training Epoch: 13 [30208/46250]	Loss: 0.3285	LR: 0.004000
Training Epoch: 13 [30464/46250]	Loss: 0.3220	LR: 0.004000
Training Epoch: 13 [30720/46250]	Loss: 0.3744	LR: 0.004000
Training Epoch: 13 [30976/46250]	Loss: 0.2647	LR: 0.004000
Training Epoch: 13 [31232/46250]	Loss: 0.2956	LR: 0.004000
Training Epoch: 13 [31488/46250]	Loss: 0.1952	LR: 0.004000
Training Epoch: 13 [31744/46250]	Loss: 0.2169	LR: 0.004000
Training Epoch: 13 [32000/46250]	Loss: 0.3115	LR: 0.004000
Training Epoch: 13 [32256/46250]	Loss: 0.3415	LR: 0.004000
Training Epoch: 13 [32512/46250]	Loss: 0.2504	LR: 0.004000
Training Epoch: 13 [32768/46250]	Loss: 0.3395	LR: 0.004000
Training Epoch: 13 [33024/46250]	Loss: 0.3902	LR: 0.004000
Training Epoch: 13 [33280/46250]	Loss: 0.4486	LR: 0.004000
Training Epoch: 13 [33536/46250]	Loss: 0.3622	LR: 0.004000
Training Epoch: 13 [33792/46250]	Loss: 0.2528	LR: 0.004000
Training Epoch: 13 [34048/46250]	Loss: 0.3633	LR: 0.004000
Training Epoch: 13 [34304/46250]	Loss: 0.2286	LR: 0.004000
Training Epoch: 13 [34560/46250]	Loss: 0.2121	LR: 0.004000
Training Epoch: 13 [34816/46250]	Loss: 0.2555	LR: 0.004000
Training Epoch: 13 [35072/46250]	Loss: 0.3784	LR: 0.004000
Training Epoch: 13 [35328/46250]	Loss: 0.3215	LR: 0.004000
Training Epoch: 13 [35584/46250]	Loss: 0.2304	LR: 0.004000
Training Epoch: 13 [35840/46250]	Loss: 0.2782	LR: 0.004000
Training Epoch: 13 [36096/46250]	Loss: 0.3652	LR: 0.004000
Training Epoch: 13 [36352/46250]	Loss: 0.3545	LR: 0.004000
Training Epoch: 13 [36608/46250]	Loss: 0.3626	LR: 0.004000
Training Epoch: 13 [36864/46250]	Loss: 0.2462	LR: 0.004000
Training Epoch: 13 [37120/46250]	Loss: 0.3964	LR: 0.004000
Training Epoch: 13 [37376/46250]	Loss: 0.2187	LR: 0.004000
Training Epoch: 13 [37632/46250]	Loss: 0.3022	LR: 0.004000
Training Epoch: 13 [37888/46250]	Loss: 0.2694	LR: 0.004000
Training Epoch: 13 [38144/46250]	Loss: 0.2675	LR: 0.004000
Training Epoch: 13 [38400/46250]	Loss: 0.2755	LR: 0.004000
Training Epoch: 13 [38656/46250]	Loss: 0.3540	LR: 0.004000
Training Epoch: 13 [38912/46250]	Loss: 0.3237	LR: 0.004000
Training Epoch: 13 [39168/46250]	Loss: 0.3115	LR: 0.004000
Training Epoch: 13 [39424/46250]	Loss: 0.2715	LR: 0.004000
Training Epoch: 13 [39680/46250]	Loss: 0.2918	LR: 0.004000
Training Epoch: 13 [39936/46250]	Loss: 0.2884	LR: 0.004000
Training Epoch: 13 [40192/46250]	Loss: 0.2916	LR: 0.004000
Training Epoch: 13 [40448/46250]	Loss: 0.3527	LR: 0.004000
Training Epoch: 13 [40704/46250]	Loss: 0.3136	LR: 0.004000
Training Epoch: 13 [40960/46250]	Loss: 0.3271	LR: 0.004000
Training Epoch: 13 [41216/46250]	Loss: 0.3298	LR: 0.004000
Training Epoch: 13 [41472/46250]	Loss: 0.3762	LR: 0.004000
Training Epoch: 13 [41728/46250]	Loss: 0.2662	LR: 0.004000
Training Epoch: 13 [41984/46250]	Loss: 0.3592	LR: 0.004000
Training Epoch: 13 [42240/46250]	Loss: 0.2612	LR: 0.004000
Training Epoch: 13 [42496/46250]	Loss: 0.3048	LR: 0.004000
Training Epoch: 13 [42752/46250]	Loss: 0.3769	LR: 0.004000
Training Epoch: 13 [43008/46250]	Loss: 0.3003	LR: 0.004000
Training Epoch: 13 [43264/46250]	Loss: 0.3275	LR: 0.004000
Training Epoch: 13 [43520/46250]	Loss: 0.3437	LR: 0.004000
Training Epoch: 13 [43776/46250]	Loss: 0.3335	LR: 0.004000
Training Epoch: 13 [44032/46250]	Loss: 0.3129	LR: 0.004000
Training Epoch: 13 [44288/46250]	Loss: 0.2128	LR: 0.004000
Training Epoch: 13 [44544/46250]	Loss: 0.3090	LR: 0.004000
Training Epoch: 13 [44800/46250]	Loss: 0.3260	LR: 0.004000
Training Epoch: 13 [45056/46250]	Loss: 0.3123	LR: 0.004000
Training Epoch: 13 [45312/46250]	Loss: 0.3019	LR: 0.004000
Training Epoch: 13 [45568/46250]	Loss: 0.2950	LR: 0.004000
Training Epoch: 13 [45824/46250]	Loss: 0.2372	LR: 0.004000
Training Epoch: 13 [46080/46250]	Loss: 0.2719	LR: 0.004000
Training Epoch: 13 [46250/46250]	Loss: 0.4021	LR: 0.004000
Epoch 13 - Average Train Loss: 0.3064, Train Accuracy: 0.8945
Epoch 13 training time consumed: 27.56s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0014, Accuracy: 0.8853, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_19h_02m_22s/ResNet18-Cifar10-seed2-ret25-13-best.pth
Training Epoch: 14 [256/46250]	Loss: 0.2878	LR: 0.004000
Training Epoch: 14 [512/46250]	Loss: 0.2589	LR: 0.004000
Training Epoch: 14 [768/46250]	Loss: 0.2598	LR: 0.004000
Training Epoch: 14 [1024/46250]	Loss: 0.2744	LR: 0.004000
Training Epoch: 14 [1280/46250]	Loss: 0.2804	LR: 0.004000
Training Epoch: 14 [1536/46250]	Loss: 0.2593	LR: 0.004000
Training Epoch: 14 [1792/46250]	Loss: 0.2988	LR: 0.004000
Training Epoch: 14 [2048/46250]	Loss: 0.2728	LR: 0.004000
Training Epoch: 14 [2304/46250]	Loss: 0.3307	LR: 0.004000
Training Epoch: 14 [2560/46250]	Loss: 0.2917	LR: 0.004000
Training Epoch: 14 [2816/46250]	Loss: 0.2941	LR: 0.004000
Training Epoch: 14 [3072/46250]	Loss: 0.2939	LR: 0.004000
Training Epoch: 14 [3328/46250]	Loss: 0.3126	LR: 0.004000
Training Epoch: 14 [3584/46250]	Loss: 0.3982	LR: 0.004000
Training Epoch: 14 [3840/46250]	Loss: 0.2795	LR: 0.004000
Training Epoch: 14 [4096/46250]	Loss: 0.2560	LR: 0.004000
Training Epoch: 14 [4352/46250]	Loss: 0.2625	LR: 0.004000
Training Epoch: 14 [4608/46250]	Loss: 0.3434	LR: 0.004000
Training Epoch: 14 [4864/46250]	Loss: 0.3055	LR: 0.004000
Training Epoch: 14 [5120/46250]	Loss: 0.2676	LR: 0.004000
Training Epoch: 14 [5376/46250]	Loss: 0.3171	LR: 0.004000
Training Epoch: 14 [5632/46250]	Loss: 0.3169	LR: 0.004000
Training Epoch: 14 [5888/46250]	Loss: 0.2645	LR: 0.004000
Training Epoch: 14 [6144/46250]	Loss: 0.2808	LR: 0.004000
Training Epoch: 14 [6400/46250]	Loss: 0.3707	LR: 0.004000
Training Epoch: 14 [6656/46250]	Loss: 0.2802	LR: 0.004000
Training Epoch: 14 [6912/46250]	Loss: 0.3076	LR: 0.004000
Training Epoch: 14 [7168/46250]	Loss: 0.3247	LR: 0.004000
Training Epoch: 14 [7424/46250]	Loss: 0.2744	LR: 0.004000
Training Epoch: 14 [7680/46250]	Loss: 0.2229	LR: 0.004000
Training Epoch: 14 [7936/46250]	Loss: 0.3699	LR: 0.004000
Training Epoch: 14 [8192/46250]	Loss: 0.2836	LR: 0.004000
Training Epoch: 14 [8448/46250]	Loss: 0.3156	LR: 0.004000
Training Epoch: 14 [8704/46250]	Loss: 0.3714	LR: 0.004000
Training Epoch: 14 [8960/46250]	Loss: 0.2637	LR: 0.004000
Training Epoch: 14 [9216/46250]	Loss: 0.3052	LR: 0.004000
Training Epoch: 14 [9472/46250]	Loss: 0.3197	LR: 0.004000
Training Epoch: 14 [9728/46250]	Loss: 0.3697	LR: 0.004000
Training Epoch: 14 [9984/46250]	Loss: 0.2438	LR: 0.004000
Training Epoch: 14 [10240/46250]	Loss: 0.3475	LR: 0.004000
Training Epoch: 14 [10496/46250]	Loss: 0.3119	LR: 0.004000
Training Epoch: 14 [10752/46250]	Loss: 0.3351	LR: 0.004000
Training Epoch: 14 [11008/46250]	Loss: 0.2820	LR: 0.004000
Training Epoch: 14 [11264/46250]	Loss: 0.2917	LR: 0.004000
Training Epoch: 14 [11520/46250]	Loss: 0.3279	LR: 0.004000
Training Epoch: 14 [11776/46250]	Loss: 0.2223	LR: 0.004000
Training Epoch: 14 [12032/46250]	Loss: 0.3000	LR: 0.004000
Training Epoch: 14 [12288/46250]	Loss: 0.3729	LR: 0.004000
Training Epoch: 14 [12544/46250]	Loss: 0.2681	LR: 0.004000
Training Epoch: 14 [12800/46250]	Loss: 0.2431	LR: 0.004000
Training Epoch: 14 [13056/46250]	Loss: 0.3266	LR: 0.004000
Training Epoch: 14 [13312/46250]	Loss: 0.2043	LR: 0.004000
Training Epoch: 14 [13568/46250]	Loss: 0.3795	LR: 0.004000
Training Epoch: 14 [13824/46250]	Loss: 0.2899	LR: 0.004000
Training Epoch: 14 [14080/46250]	Loss: 0.2656	LR: 0.004000
Training Epoch: 14 [14336/46250]	Loss: 0.3492	LR: 0.004000
Training Epoch: 14 [14592/46250]	Loss: 0.2438	LR: 0.004000
Training Epoch: 14 [14848/46250]	Loss: 0.3291	LR: 0.004000
Training Epoch: 14 [15104/46250]	Loss: 0.3185	LR: 0.004000
Training Epoch: 14 [15360/46250]	Loss: 0.3501	LR: 0.004000
Training Epoch: 14 [15616/46250]	Loss: 0.3261	LR: 0.004000
Training Epoch: 14 [15872/46250]	Loss: 0.2492	LR: 0.004000
Training Epoch: 14 [16128/46250]	Loss: 0.2993	LR: 0.004000
Training Epoch: 14 [16384/46250]	Loss: 0.3517	LR: 0.004000
Training Epoch: 14 [16640/46250]	Loss: 0.3285	LR: 0.004000
Training Epoch: 14 [16896/46250]	Loss: 0.2808	LR: 0.004000
Training Epoch: 14 [17152/46250]	Loss: 0.3229	LR: 0.004000
Training Epoch: 14 [17408/46250]	Loss: 0.3480	LR: 0.004000
Training Epoch: 14 [17664/46250]	Loss: 0.2877	LR: 0.004000
Training Epoch: 14 [17920/46250]	Loss: 0.2542	LR: 0.004000
Training Epoch: 14 [18176/46250]	Loss: 0.3163	LR: 0.004000
Training Epoch: 14 [18432/46250]	Loss: 0.2373	LR: 0.004000
Training Epoch: 14 [18688/46250]	Loss: 0.2746	LR: 0.004000
Training Epoch: 14 [18944/46250]	Loss: 0.2711	LR: 0.004000
Training Epoch: 14 [19200/46250]	Loss: 0.3238	LR: 0.004000
Training Epoch: 14 [19456/46250]	Loss: 0.2695	LR: 0.004000
Training Epoch: 14 [19712/46250]	Loss: 0.2715	LR: 0.004000
Training Epoch: 14 [19968/46250]	Loss: 0.2334	LR: 0.004000
Training Epoch: 14 [20224/46250]	Loss: 0.3233	LR: 0.004000
Training Epoch: 14 [20480/46250]	Loss: 0.2423	LR: 0.004000
Training Epoch: 14 [20736/46250]	Loss: 0.2667	LR: 0.004000
Training Epoch: 14 [20992/46250]	Loss: 0.2417	LR: 0.004000
Training Epoch: 14 [21248/46250]	Loss: 0.2742	LR: 0.004000
Training Epoch: 14 [21504/46250]	Loss: 0.2644	LR: 0.004000
Training Epoch: 14 [21760/46250]	Loss: 0.3079	LR: 0.004000
Training Epoch: 14 [22016/46250]	Loss: 0.2462	LR: 0.004000
Training Epoch: 14 [22272/46250]	Loss: 0.2997	LR: 0.004000
Training Epoch: 14 [22528/46250]	Loss: 0.2852	LR: 0.004000
Training Epoch: 14 [22784/46250]	Loss: 0.2192	LR: 0.004000
Training Epoch: 14 [23040/46250]	Loss: 0.4348	LR: 0.004000
Training Epoch: 14 [23296/46250]	Loss: 0.3284	LR: 0.004000
Training Epoch: 14 [23552/46250]	Loss: 0.3187	LR: 0.004000
Training Epoch: 14 [23808/46250]	Loss: 0.3430	LR: 0.004000
Training Epoch: 14 [24064/46250]	Loss: 0.3781	LR: 0.004000
Training Epoch: 14 [24320/46250]	Loss: 0.3581	LR: 0.004000
Training Epoch: 14 [24576/46250]	Loss: 0.2759	LR: 0.004000
Training Epoch: 14 [24832/46250]	Loss: 0.2752	LR: 0.004000
Training Epoch: 14 [25088/46250]	Loss: 0.2737	LR: 0.004000
Training Epoch: 14 [25344/46250]	Loss: 0.3886	LR: 0.004000
Training Epoch: 14 [25600/46250]	Loss: 0.2655	LR: 0.004000
Training Epoch: 14 [25856/46250]	Loss: 0.3440	LR: 0.004000
Training Epoch: 14 [26112/46250]	Loss: 0.2277	LR: 0.004000
Training Epoch: 14 [26368/46250]	Loss: 0.2214	LR: 0.004000
Training Epoch: 14 [26624/46250]	Loss: 0.2245	LR: 0.004000
Training Epoch: 14 [26880/46250]	Loss: 0.3498	LR: 0.004000
Training Epoch: 14 [27136/46250]	Loss: 0.3448	LR: 0.004000
Training Epoch: 14 [27392/46250]	Loss: 0.2339	LR: 0.004000
Training Epoch: 14 [27648/46250]	Loss: 0.2686	LR: 0.004000
Training Epoch: 14 [27904/46250]	Loss: 0.3519	LR: 0.004000
Training Epoch: 14 [28160/46250]	Loss: 0.2750	LR: 0.004000
Training Epoch: 14 [28416/46250]	Loss: 0.3204	LR: 0.004000
Training Epoch: 14 [28672/46250]	Loss: 0.3473	LR: 0.004000
Training Epoch: 14 [28928/46250]	Loss: 0.2498	LR: 0.004000
Training Epoch: 14 [29184/46250]	Loss: 0.2333	LR: 0.004000
Training Epoch: 14 [29440/46250]	Loss: 0.3419	LR: 0.004000
Training Epoch: 14 [29696/46250]	Loss: 0.2825	LR: 0.004000
Training Epoch: 14 [29952/46250]	Loss: 0.2512	LR: 0.004000
Training Epoch: 14 [30208/46250]	Loss: 0.3216	LR: 0.004000
Training Epoch: 14 [30464/46250]	Loss: 0.3028	LR: 0.004000
Training Epoch: 14 [30720/46250]	Loss: 0.3067	LR: 0.004000
Training Epoch: 14 [30976/46250]	Loss: 0.3129	LR: 0.004000
Training Epoch: 14 [31232/46250]	Loss: 0.3479	LR: 0.004000
Training Epoch: 14 [31488/46250]	Loss: 0.2923	LR: 0.004000
Training Epoch: 14 [31744/46250]	Loss: 0.3120	LR: 0.004000
Training Epoch: 14 [32000/46250]	Loss: 0.3332	LR: 0.004000
Training Epoch: 14 [32256/46250]	Loss: 0.2795	LR: 0.004000
Training Epoch: 14 [32512/46250]	Loss: 0.3288	LR: 0.004000
Training Epoch: 14 [32768/46250]	Loss: 0.2488	LR: 0.004000
Training Epoch: 14 [33024/46250]	Loss: 0.3633	LR: 0.004000
Training Epoch: 14 [33280/46250]	Loss: 0.2458	LR: 0.004000
Training Epoch: 14 [33536/46250]	Loss: 0.3126	LR: 0.004000
Training Epoch: 14 [33792/46250]	Loss: 0.2985	LR: 0.004000
Training Epoch: 14 [34048/46250]	Loss: 0.3238	LR: 0.004000
Training Epoch: 14 [34304/46250]	Loss: 0.3464	LR: 0.004000
Training Epoch: 14 [34560/46250]	Loss: 0.3577	LR: 0.004000
Training Epoch: 14 [34816/46250]	Loss: 0.2404	LR: 0.004000
Training Epoch: 14 [35072/46250]	Loss: 0.3064	LR: 0.004000
Training Epoch: 14 [35328/46250]	Loss: 0.2976	LR: 0.004000
Training Epoch: 14 [35584/46250]	Loss: 0.2827	LR: 0.004000
Training Epoch: 14 [35840/46250]	Loss: 0.3460	LR: 0.004000
Training Epoch: 14 [36096/46250]	Loss: 0.2456	LR: 0.004000
Training Epoch: 14 [36352/46250]	Loss: 0.2169	LR: 0.004000
Training Epoch: 14 [36608/46250]	Loss: 0.3076	LR: 0.004000
Training Epoch: 14 [36864/46250]	Loss: 0.3704	LR: 0.004000
Training Epoch: 14 [37120/46250]	Loss: 0.1786	LR: 0.004000
Training Epoch: 14 [37376/46250]	Loss: 0.2851	LR: 0.004000
Training Epoch: 14 [37632/46250]	Loss: 0.2615	LR: 0.004000
Training Epoch: 14 [37888/46250]	Loss: 0.3151	LR: 0.004000
Training Epoch: 14 [38144/46250]	Loss: 0.3129	LR: 0.004000
Training Epoch: 14 [38400/46250]	Loss: 0.2678	LR: 0.004000
Training Epoch: 14 [38656/46250]	Loss: 0.2943	LR: 0.004000
Training Epoch: 14 [38912/46250]	Loss: 0.2327	LR: 0.004000
Training Epoch: 14 [39168/46250]	Loss: 0.2598	LR: 0.004000
Training Epoch: 14 [39424/46250]	Loss: 0.3920	LR: 0.004000
Training Epoch: 14 [39680/46250]	Loss: 0.2944	LR: 0.004000
Training Epoch: 14 [39936/46250]	Loss: 0.3144	LR: 0.004000
Training Epoch: 14 [40192/46250]	Loss: 0.3829	LR: 0.004000
Training Epoch: 14 [40448/46250]	Loss: 0.2919	LR: 0.004000
Training Epoch: 14 [40704/46250]	Loss: 0.3287	LR: 0.004000
Training Epoch: 14 [40960/46250]	Loss: 0.2736	LR: 0.004000
Training Epoch: 14 [41216/46250]	Loss: 0.3024	LR: 0.004000
Training Epoch: 14 [41472/46250]	Loss: 0.3091	LR: 0.004000
Training Epoch: 14 [41728/46250]	Loss: 0.2921	LR: 0.004000
Training Epoch: 14 [41984/46250]	Loss: 0.3332	LR: 0.004000
Training Epoch: 14 [42240/46250]	Loss: 0.2753	LR: 0.004000
Training Epoch: 14 [42496/46250]	Loss: 0.2679	LR: 0.004000
Training Epoch: 14 [42752/46250]	Loss: 0.2828	LR: 0.004000
Training Epoch: 14 [43008/46250]	Loss: 0.2756	LR: 0.004000
Training Epoch: 14 [43264/46250]	Loss: 0.3318	LR: 0.004000
Training Epoch: 14 [43520/46250]	Loss: 0.2826	LR: 0.004000
Training Epoch: 14 [43776/46250]	Loss: 0.3380	LR: 0.004000
Training Epoch: 14 [44032/46250]	Loss: 0.3556	LR: 0.004000
Training Epoch: 14 [44288/46250]	Loss: 0.2237	LR: 0.004000
Training Epoch: 14 [44544/46250]	Loss: 0.3559	LR: 0.004000
Training Epoch: 14 [44800/46250]	Loss: 0.2120	LR: 0.004000
Training Epoch: 14 [45056/46250]	Loss: 0.2947	LR: 0.004000
Training Epoch: 14 [45312/46250]	Loss: 0.2805	LR: 0.004000
Training Epoch: 14 [45568/46250]	Loss: 0.2315	LR: 0.004000
Training Epoch: 14 [45824/46250]	Loss: 0.3044	LR: 0.004000
Training Epoch: 14 [46080/46250]	Loss: 0.2497	LR: 0.004000
Training Epoch: 14 [46250/46250]	Loss: 0.2235	LR: 0.004000
Epoch 14 - Average Train Loss: 0.2967, Train Accuracy: 0.8971
Epoch 14 training time consumed: 27.97s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0014, Accuracy: 0.8845, Time consumed:0.86s
Training Epoch: 15 [256/46250]	Loss: 0.2540	LR: 0.004000
Training Epoch: 15 [512/46250]	Loss: 0.2672	LR: 0.004000
Training Epoch: 15 [768/46250]	Loss: 0.2485	LR: 0.004000
Training Epoch: 15 [1024/46250]	Loss: 0.3936	LR: 0.004000
Training Epoch: 15 [1280/46250]	Loss: 0.2985	LR: 0.004000
Training Epoch: 15 [1536/46250]	Loss: 0.2329	LR: 0.004000
Training Epoch: 15 [1792/46250]	Loss: 0.3037	LR: 0.004000
Training Epoch: 15 [2048/46250]	Loss: 0.3005	LR: 0.004000
Training Epoch: 15 [2304/46250]	Loss: 0.2629	LR: 0.004000
Training Epoch: 15 [2560/46250]	Loss: 0.3705	LR: 0.004000
Training Epoch: 15 [2816/46250]	Loss: 0.2927	LR: 0.004000
Training Epoch: 15 [3072/46250]	Loss: 0.2777	LR: 0.004000
Training Epoch: 15 [3328/46250]	Loss: 0.3372	LR: 0.004000
Training Epoch: 15 [3584/46250]	Loss: 0.3389	LR: 0.004000
Training Epoch: 15 [3840/46250]	Loss: 0.2938	LR: 0.004000
Training Epoch: 15 [4096/46250]	Loss: 0.2964	LR: 0.004000
Training Epoch: 15 [4352/46250]	Loss: 0.2704	LR: 0.004000
Training Epoch: 15 [4608/46250]	Loss: 0.4049	LR: 0.004000
Training Epoch: 15 [4864/46250]	Loss: 0.3501	LR: 0.004000
Training Epoch: 15 [5120/46250]	Loss: 0.2204	LR: 0.004000
Training Epoch: 15 [5376/46250]	Loss: 0.2144	LR: 0.004000
Training Epoch: 15 [5632/46250]	Loss: 0.1809	LR: 0.004000
Training Epoch: 15 [5888/46250]	Loss: 0.3529	LR: 0.004000
Training Epoch: 15 [6144/46250]	Loss: 0.3029	LR: 0.004000
Training Epoch: 15 [6400/46250]	Loss: 0.2672	LR: 0.004000
Training Epoch: 15 [6656/46250]	Loss: 0.3446	LR: 0.004000
Training Epoch: 15 [6912/46250]	Loss: 0.3822	LR: 0.004000
Training Epoch: 15 [7168/46250]	Loss: 0.2609	LR: 0.004000
Training Epoch: 15 [7424/46250]	Loss: 0.2758	LR: 0.004000
Training Epoch: 15 [7680/46250]	Loss: 0.2464	LR: 0.004000
Training Epoch: 15 [7936/46250]	Loss: 0.2888	LR: 0.004000
Training Epoch: 15 [8192/46250]	Loss: 0.3023	LR: 0.004000
Training Epoch: 15 [8448/46250]	Loss: 0.2323	LR: 0.004000
Training Epoch: 15 [8704/46250]	Loss: 0.3314	LR: 0.004000
Training Epoch: 15 [8960/46250]	Loss: 0.2601	LR: 0.004000
Training Epoch: 15 [9216/46250]	Loss: 0.2985	LR: 0.004000
Training Epoch: 15 [9472/46250]	Loss: 0.3405	LR: 0.004000
Training Epoch: 15 [9728/46250]	Loss: 0.3677	LR: 0.004000
Training Epoch: 15 [9984/46250]	Loss: 0.2912	LR: 0.004000
Training Epoch: 15 [10240/46250]	Loss: 0.2658	LR: 0.004000
Training Epoch: 15 [10496/46250]	Loss: 0.2849	LR: 0.004000
Training Epoch: 15 [10752/46250]	Loss: 0.2617	LR: 0.004000
Training Epoch: 15 [11008/46250]	Loss: 0.2751	LR: 0.004000
Training Epoch: 15 [11264/46250]	Loss: 0.3408	LR: 0.004000
Training Epoch: 15 [11520/46250]	Loss: 0.2212	LR: 0.004000
Training Epoch: 15 [11776/46250]	Loss: 0.2538	LR: 0.004000
Training Epoch: 15 [12032/46250]	Loss: 0.2841	LR: 0.004000
Training Epoch: 15 [12288/46250]	Loss: 0.2532	LR: 0.004000
Training Epoch: 15 [12544/46250]	Loss: 0.2150	LR: 0.004000
Training Epoch: 15 [12800/46250]	Loss: 0.3520	LR: 0.004000
Training Epoch: 15 [13056/46250]	Loss: 0.3197	LR: 0.004000
Training Epoch: 15 [13312/46250]	Loss: 0.2680	LR: 0.004000
Training Epoch: 15 [13568/46250]	Loss: 0.3567	LR: 0.004000
Training Epoch: 15 [13824/46250]	Loss: 0.2930	LR: 0.004000
Training Epoch: 15 [14080/46250]	Loss: 0.1981	LR: 0.004000
Training Epoch: 15 [14336/46250]	Loss: 0.2627	LR: 0.004000
Training Epoch: 15 [14592/46250]	Loss: 0.3454	LR: 0.004000
Training Epoch: 15 [14848/46250]	Loss: 0.2266	LR: 0.004000
Training Epoch: 15 [15104/46250]	Loss: 0.2526	LR: 0.004000
Training Epoch: 15 [15360/46250]	Loss: 0.3193	LR: 0.004000
Training Epoch: 15 [15616/46250]	Loss: 0.2598	LR: 0.004000
Training Epoch: 15 [15872/46250]	Loss: 0.2492	LR: 0.004000
Training Epoch: 15 [16128/46250]	Loss: 0.2809	LR: 0.004000
Training Epoch: 15 [16384/46250]	Loss: 0.3007	LR: 0.004000
Training Epoch: 15 [16640/46250]	Loss: 0.3112	LR: 0.004000
Training Epoch: 15 [16896/46250]	Loss: 0.3466	LR: 0.004000
Training Epoch: 15 [17152/46250]	Loss: 0.2548	LR: 0.004000
Training Epoch: 15 [17408/46250]	Loss: 0.2946	LR: 0.004000
Training Epoch: 15 [17664/46250]	Loss: 0.2790	LR: 0.004000
Training Epoch: 15 [17920/46250]	Loss: 0.3465	LR: 0.004000
Training Epoch: 15 [18176/46250]	Loss: 0.2325	LR: 0.004000
Training Epoch: 15 [18432/46250]	Loss: 0.3392	LR: 0.004000
Training Epoch: 15 [18688/46250]	Loss: 0.3155	LR: 0.004000
Training Epoch: 15 [18944/46250]	Loss: 0.2853	LR: 0.004000
Training Epoch: 15 [19200/46250]	Loss: 0.2024	LR: 0.004000
Training Epoch: 15 [19456/46250]	Loss: 0.3688	LR: 0.004000
Training Epoch: 15 [19712/46250]	Loss: 0.3366	LR: 0.004000
Training Epoch: 15 [19968/46250]	Loss: 0.2681	LR: 0.004000
Training Epoch: 15 [20224/46250]	Loss: 0.3414	LR: 0.004000
Training Epoch: 15 [20480/46250]	Loss: 0.2320	LR: 0.004000
Training Epoch: 15 [20736/46250]	Loss: 0.2855	LR: 0.004000
Training Epoch: 15 [20992/46250]	Loss: 0.3058	LR: 0.004000
Training Epoch: 15 [21248/46250]	Loss: 0.2573	LR: 0.004000
Training Epoch: 15 [21504/46250]	Loss: 0.2834	LR: 0.004000
Training Epoch: 15 [21760/46250]	Loss: 0.2878	LR: 0.004000
Training Epoch: 15 [22016/46250]	Loss: 0.3201	LR: 0.004000
Training Epoch: 15 [22272/46250]	Loss: 0.2728	LR: 0.004000
Training Epoch: 15 [22528/46250]	Loss: 0.3284	LR: 0.004000
Training Epoch: 15 [22784/46250]	Loss: 0.3586	LR: 0.004000
Training Epoch: 15 [23040/46250]	Loss: 0.2444	LR: 0.004000
Training Epoch: 15 [23296/46250]	Loss: 0.3009	LR: 0.004000
Training Epoch: 15 [23552/46250]	Loss: 0.2327	LR: 0.004000
Training Epoch: 15 [23808/46250]	Loss: 0.2521	LR: 0.004000
Training Epoch: 15 [24064/46250]	Loss: 0.3570	LR: 0.004000
Training Epoch: 15 [24320/46250]	Loss: 0.3403	LR: 0.004000
Training Epoch: 15 [24576/46250]	Loss: 0.2894	LR: 0.004000
Training Epoch: 15 [24832/46250]	Loss: 0.2413	LR: 0.004000
Training Epoch: 15 [25088/46250]	Loss: 0.3531	LR: 0.004000
Training Epoch: 15 [25344/46250]	Loss: 0.2047	LR: 0.004000
Training Epoch: 15 [25600/46250]	Loss: 0.2986	LR: 0.004000
Training Epoch: 15 [25856/46250]	Loss: 0.3655	LR: 0.004000
Training Epoch: 15 [26112/46250]	Loss: 0.2092	LR: 0.004000
Training Epoch: 15 [26368/46250]	Loss: 0.2566	LR: 0.004000
Training Epoch: 15 [26624/46250]	Loss: 0.3466	LR: 0.004000
Training Epoch: 15 [26880/46250]	Loss: 0.2248	LR: 0.004000
Training Epoch: 15 [27136/46250]	Loss: 0.2634	LR: 0.004000
Training Epoch: 15 [27392/46250]	Loss: 0.2895	LR: 0.004000
Training Epoch: 15 [27648/46250]	Loss: 0.3224	LR: 0.004000
Training Epoch: 15 [27904/46250]	Loss: 0.2785	LR: 0.004000
Training Epoch: 15 [28160/46250]	Loss: 0.2505	LR: 0.004000
Training Epoch: 15 [28416/46250]	Loss: 0.2646	LR: 0.004000
Training Epoch: 15 [28672/46250]	Loss: 0.2959	LR: 0.004000
Training Epoch: 15 [28928/46250]	Loss: 0.2724	LR: 0.004000
Training Epoch: 15 [29184/46250]	Loss: 0.3352	LR: 0.004000
Training Epoch: 15 [29440/46250]	Loss: 0.2958	LR: 0.004000
Training Epoch: 15 [29696/46250]	Loss: 0.4238	LR: 0.004000
Training Epoch: 15 [29952/46250]	Loss: 0.3124	LR: 0.004000
Training Epoch: 15 [30208/46250]	Loss: 0.2820	LR: 0.004000
Training Epoch: 15 [30464/46250]	Loss: 0.2813	LR: 0.004000
Training Epoch: 15 [30720/46250]	Loss: 0.2521	LR: 0.004000
Training Epoch: 15 [30976/46250]	Loss: 0.2545	LR: 0.004000
Training Epoch: 15 [31232/46250]	Loss: 0.2791	LR: 0.004000
Training Epoch: 15 [31488/46250]	Loss: 0.2017	LR: 0.004000
Training Epoch: 15 [31744/46250]	Loss: 0.3154	LR: 0.004000
Training Epoch: 15 [32000/46250]	Loss: 0.2701	LR: 0.004000
Training Epoch: 15 [32256/46250]	Loss: 0.3043	LR: 0.004000
Training Epoch: 15 [32512/46250]	Loss: 0.3065	LR: 0.004000
Training Epoch: 15 [32768/46250]	Loss: 0.2433	LR: 0.004000
Training Epoch: 15 [33024/46250]	Loss: 0.3293	LR: 0.004000
Training Epoch: 15 [33280/46250]	Loss: 0.3149	LR: 0.004000
Training Epoch: 15 [33536/46250]	Loss: 0.2602	LR: 0.004000
Training Epoch: 15 [33792/46250]	Loss: 0.2105	LR: 0.004000
Training Epoch: 15 [34048/46250]	Loss: 0.2572	LR: 0.004000
Training Epoch: 15 [34304/46250]	Loss: 0.2721	LR: 0.004000
Training Epoch: 15 [34560/46250]	Loss: 0.2929	LR: 0.004000
Training Epoch: 15 [34816/46250]	Loss: 0.3145	LR: 0.004000
Training Epoch: 15 [35072/46250]	Loss: 0.3007	LR: 0.004000
Training Epoch: 15 [35328/46250]	Loss: 0.3516	LR: 0.004000
Training Epoch: 15 [35584/46250]	Loss: 0.2521	LR: 0.004000
Training Epoch: 15 [35840/46250]	Loss: 0.2900	LR: 0.004000
Training Epoch: 15 [36096/46250]	Loss: 0.2886	LR: 0.004000
Training Epoch: 15 [36352/46250]	Loss: 0.3133	LR: 0.004000
Training Epoch: 15 [36608/46250]	Loss: 0.3560	LR: 0.004000
Training Epoch: 15 [36864/46250]	Loss: 0.2283	LR: 0.004000
Training Epoch: 15 [37120/46250]	Loss: 0.2281	LR: 0.004000
Training Epoch: 15 [37376/46250]	Loss: 0.3519	LR: 0.004000
Training Epoch: 15 [37632/46250]	Loss: 0.2089	LR: 0.004000
Training Epoch: 15 [37888/46250]	Loss: 0.2288	LR: 0.004000
Training Epoch: 15 [38144/46250]	Loss: 0.3107	LR: 0.004000
Training Epoch: 15 [38400/46250]	Loss: 0.2518	LR: 0.004000
Training Epoch: 15 [38656/46250]	Loss: 0.3563	LR: 0.004000
Training Epoch: 15 [38912/46250]	Loss: 0.3288	LR: 0.004000
Training Epoch: 15 [39168/46250]	Loss: 0.2887	LR: 0.004000
Training Epoch: 15 [39424/46250]	Loss: 0.2544	LR: 0.004000
Training Epoch: 15 [39680/46250]	Loss: 0.2747	LR: 0.004000
Training Epoch: 15 [39936/46250]	Loss: 0.2220	LR: 0.004000
Training Epoch: 15 [40192/46250]	Loss: 0.2957	LR: 0.004000
Training Epoch: 15 [40448/46250]	Loss: 0.3231	LR: 0.004000
Training Epoch: 15 [40704/46250]	Loss: 0.2545	LR: 0.004000
Training Epoch: 15 [40960/46250]	Loss: 0.2833	LR: 0.004000
Training Epoch: 15 [41216/46250]	Loss: 0.3241	LR: 0.004000
Training Epoch: 15 [41472/46250]	Loss: 0.2688	LR: 0.004000
Training Epoch: 15 [41728/46250]	Loss: 0.2659	LR: 0.004000
Training Epoch: 15 [41984/46250]	Loss: 0.2340	LR: 0.004000
Training Epoch: 15 [42240/46250]	Loss: 0.3418	LR: 0.004000
Training Epoch: 15 [42496/46250]	Loss: 0.2784	LR: 0.004000
Training Epoch: 15 [42752/46250]	Loss: 0.3490	LR: 0.004000
Training Epoch: 15 [43008/46250]	Loss: 0.3121	LR: 0.004000
Training Epoch: 15 [43264/46250]	Loss: 0.2735	LR: 0.004000
Training Epoch: 15 [43520/46250]	Loss: 0.2431	LR: 0.004000
Training Epoch: 15 [43776/46250]	Loss: 0.3532	LR: 0.004000
Training Epoch: 15 [44032/46250]	Loss: 0.2588	LR: 0.004000
Training Epoch: 15 [44288/46250]	Loss: 0.2674	LR: 0.004000
Training Epoch: 15 [44544/46250]	Loss: 0.2659	LR: 0.004000
Training Epoch: 15 [44800/46250]	Loss: 0.2214	LR: 0.004000
Training Epoch: 15 [45056/46250]	Loss: 0.3143	LR: 0.004000
Training Epoch: 15 [45312/46250]	Loss: 0.2796	LR: 0.004000
Training Epoch: 15 [45568/46250]	Loss: 0.2662	LR: 0.004000
Training Epoch: 15 [45824/46250]	Loss: 0.3015	LR: 0.004000
Training Epoch: 15 [46080/46250]	Loss: 0.3653	LR: 0.004000
Training Epoch: 15 [46250/46250]	Loss: 0.1975	LR: 0.004000
Epoch 15 - Average Train Loss: 0.2882, Train Accuracy: 0.8996
Epoch 15 training time consumed: 27.77s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0014, Accuracy: 0.8862, Time consumed:0.85s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_19h_02m_22s/ResNet18-Cifar10-seed2-ret25-15-best.pth
Training Epoch: 16 [256/46250]	Loss: 0.2453	LR: 0.000800
Training Epoch: 16 [512/46250]	Loss: 0.2187	LR: 0.000800
Training Epoch: 16 [768/46250]	Loss: 0.2626	LR: 0.000800
Training Epoch: 16 [1024/46250]	Loss: 0.3564	LR: 0.000800
Training Epoch: 16 [1280/46250]	Loss: 0.2880	LR: 0.000800
Training Epoch: 16 [1536/46250]	Loss: 0.2506	LR: 0.000800
Training Epoch: 16 [1792/46250]	Loss: 0.2412	LR: 0.000800
Training Epoch: 16 [2048/46250]	Loss: 0.2620	LR: 0.000800
Training Epoch: 16 [2304/46250]	Loss: 0.1914	LR: 0.000800
Training Epoch: 16 [2560/46250]	Loss: 0.2595	LR: 0.000800
Training Epoch: 16 [2816/46250]	Loss: 0.3121	LR: 0.000800
Training Epoch: 16 [3072/46250]	Loss: 0.2725	LR: 0.000800
Training Epoch: 16 [3328/46250]	Loss: 0.2428	LR: 0.000800
Training Epoch: 16 [3584/46250]	Loss: 0.2924	LR: 0.000800
Training Epoch: 16 [3840/46250]	Loss: 0.2958	LR: 0.000800
Training Epoch: 16 [4096/46250]	Loss: 0.3675	LR: 0.000800
Training Epoch: 16 [4352/46250]	Loss: 0.3196	LR: 0.000800
Training Epoch: 16 [4608/46250]	Loss: 0.2254	LR: 0.000800
Training Epoch: 16 [4864/46250]	Loss: 0.3291	LR: 0.000800
Training Epoch: 16 [5120/46250]	Loss: 0.2920	LR: 0.000800
Training Epoch: 16 [5376/46250]	Loss: 0.2933	LR: 0.000800
Training Epoch: 16 [5632/46250]	Loss: 0.3488	LR: 0.000800
Training Epoch: 16 [5888/46250]	Loss: 0.2456	LR: 0.000800
Training Epoch: 16 [6144/46250]	Loss: 0.2878	LR: 0.000800
Training Epoch: 16 [6400/46250]	Loss: 0.2566	LR: 0.000800
Training Epoch: 16 [6656/46250]	Loss: 0.2359	LR: 0.000800
Training Epoch: 16 [6912/46250]	Loss: 0.2510	LR: 0.000800
Training Epoch: 16 [7168/46250]	Loss: 0.2572	LR: 0.000800
Training Epoch: 16 [7424/46250]	Loss: 0.3136	LR: 0.000800
Training Epoch: 16 [7680/46250]	Loss: 0.3300	LR: 0.000800
Training Epoch: 16 [7936/46250]	Loss: 0.2801	LR: 0.000800
Training Epoch: 16 [8192/46250]	Loss: 0.2893	LR: 0.000800
Training Epoch: 16 [8448/46250]	Loss: 0.2646	LR: 0.000800
Training Epoch: 16 [8704/46250]	Loss: 0.2703	LR: 0.000800
Training Epoch: 16 [8960/46250]	Loss: 0.2483	LR: 0.000800
Training Epoch: 16 [9216/46250]	Loss: 0.2450	LR: 0.000800
Training Epoch: 16 [9472/46250]	Loss: 0.2289	LR: 0.000800
Training Epoch: 16 [9728/46250]	Loss: 0.3841	LR: 0.000800
Training Epoch: 16 [9984/46250]	Loss: 0.3179	LR: 0.000800
Training Epoch: 16 [10240/46250]	Loss: 0.2587	LR: 0.000800
Training Epoch: 16 [10496/46250]	Loss: 0.3238	LR: 0.000800
Training Epoch: 16 [10752/46250]	Loss: 0.2520	LR: 0.000800
Training Epoch: 16 [11008/46250]	Loss: 0.2618	LR: 0.000800
Training Epoch: 16 [11264/46250]	Loss: 0.2528	LR: 0.000800
Training Epoch: 16 [11520/46250]	Loss: 0.2640	LR: 0.000800
Training Epoch: 16 [11776/46250]	Loss: 0.2483	LR: 0.000800
Training Epoch: 16 [12032/46250]	Loss: 0.2615	LR: 0.000800
Training Epoch: 16 [12288/46250]	Loss: 0.2641	LR: 0.000800
Training Epoch: 16 [12544/46250]	Loss: 0.3011	LR: 0.000800
Training Epoch: 16 [12800/46250]	Loss: 0.3061	LR: 0.000800
Training Epoch: 16 [13056/46250]	Loss: 0.2440	LR: 0.000800
Training Epoch: 16 [13312/46250]	Loss: 0.2802	LR: 0.000800
Training Epoch: 16 [13568/46250]	Loss: 0.2116	LR: 0.000800
Training Epoch: 16 [13824/46250]	Loss: 0.2441	LR: 0.000800
Training Epoch: 16 [14080/46250]	Loss: 0.3686	LR: 0.000800
Training Epoch: 16 [14336/46250]	Loss: 0.2768	LR: 0.000800
Training Epoch: 16 [14592/46250]	Loss: 0.2875	LR: 0.000800
Training Epoch: 16 [14848/46250]	Loss: 0.2194	LR: 0.000800
Training Epoch: 16 [15104/46250]	Loss: 0.2611	LR: 0.000800
Training Epoch: 16 [15360/46250]	Loss: 0.2558	LR: 0.000800
Training Epoch: 16 [15616/46250]	Loss: 0.2644	LR: 0.000800
Training Epoch: 16 [15872/46250]	Loss: 0.2170	LR: 0.000800
Training Epoch: 16 [16128/46250]	Loss: 0.2413	LR: 0.000800
Training Epoch: 16 [16384/46250]	Loss: 0.2607	LR: 0.000800
Training Epoch: 16 [16640/46250]	Loss: 0.3549	LR: 0.000800
Training Epoch: 16 [16896/46250]	Loss: 0.2636	LR: 0.000800
Training Epoch: 16 [17152/46250]	Loss: 0.2417	LR: 0.000800
Training Epoch: 16 [17408/46250]	Loss: 0.2444	LR: 0.000800
Training Epoch: 16 [17664/46250]	Loss: 0.3642	LR: 0.000800
Training Epoch: 16 [17920/46250]	Loss: 0.3261	LR: 0.000800
Training Epoch: 16 [18176/46250]	Loss: 0.3396	LR: 0.000800
Training Epoch: 16 [18432/46250]	Loss: 0.2310	LR: 0.000800
Training Epoch: 16 [18688/46250]	Loss: 0.2048	LR: 0.000800
Training Epoch: 16 [18944/46250]	Loss: 0.2730	LR: 0.000800
Training Epoch: 16 [19200/46250]	Loss: 0.3148	LR: 0.000800
Training Epoch: 16 [19456/46250]	Loss: 0.3111	LR: 0.000800
Training Epoch: 16 [19712/46250]	Loss: 0.2553	LR: 0.000800
Training Epoch: 16 [19968/46250]	Loss: 0.3198	LR: 0.000800
Training Epoch: 16 [20224/46250]	Loss: 0.2550	LR: 0.000800
Training Epoch: 16 [20480/46250]	Loss: 0.2784	LR: 0.000800
Training Epoch: 16 [20736/46250]	Loss: 0.2419	LR: 0.000800
Training Epoch: 16 [20992/46250]	Loss: 0.3416	LR: 0.000800
Training Epoch: 16 [21248/46250]	Loss: 0.2741	LR: 0.000800
Training Epoch: 16 [21504/46250]	Loss: 0.3055	LR: 0.000800
Training Epoch: 16 [21760/46250]	Loss: 0.3019	LR: 0.000800
Training Epoch: 16 [22016/46250]	Loss: 0.2303	LR: 0.000800
Training Epoch: 16 [22272/46250]	Loss: 0.2241	LR: 0.000800
Training Epoch: 16 [22528/46250]	Loss: 0.2545	LR: 0.000800
Training Epoch: 16 [22784/46250]	Loss: 0.3983	LR: 0.000800
Training Epoch: 16 [23040/46250]	Loss: 0.2770	LR: 0.000800
Training Epoch: 16 [23296/46250]	Loss: 0.3169	LR: 0.000800
Training Epoch: 16 [23552/46250]	Loss: 0.3441	LR: 0.000800
Training Epoch: 16 [23808/46250]	Loss: 0.3779	LR: 0.000800
Training Epoch: 16 [24064/46250]	Loss: 0.2813	LR: 0.000800
Training Epoch: 16 [24320/46250]	Loss: 0.3035	LR: 0.000800
Training Epoch: 16 [24576/46250]	Loss: 0.2248	LR: 0.000800
Training Epoch: 16 [24832/46250]	Loss: 0.3395	LR: 0.000800
Training Epoch: 16 [25088/46250]	Loss: 0.2442	LR: 0.000800
Training Epoch: 16 [25344/46250]	Loss: 0.2399	LR: 0.000800
Training Epoch: 16 [25600/46250]	Loss: 0.2787	LR: 0.000800
Training Epoch: 16 [25856/46250]	Loss: 0.2986	LR: 0.000800
Training Epoch: 16 [26112/46250]	Loss: 0.2797	LR: 0.000800
Training Epoch: 16 [26368/46250]	Loss: 0.3002	LR: 0.000800
Training Epoch: 16 [26624/46250]	Loss: 0.3449	LR: 0.000800
Training Epoch: 16 [26880/46250]	Loss: 0.2289	LR: 0.000800
Training Epoch: 16 [27136/46250]	Loss: 0.2436	LR: 0.000800
Training Epoch: 16 [27392/46250]	Loss: 0.4359	LR: 0.000800
Training Epoch: 16 [27648/46250]	Loss: 0.3974	LR: 0.000800
Training Epoch: 16 [27904/46250]	Loss: 0.2463	LR: 0.000800
Training Epoch: 16 [28160/46250]	Loss: 0.1961	LR: 0.000800
Training Epoch: 16 [28416/46250]	Loss: 0.3247	LR: 0.000800
Training Epoch: 16 [28672/46250]	Loss: 0.3008	LR: 0.000800
Training Epoch: 16 [28928/46250]	Loss: 0.2875	LR: 0.000800
Training Epoch: 16 [29184/46250]	Loss: 0.2520	LR: 0.000800
Training Epoch: 16 [29440/46250]	Loss: 0.2734	LR: 0.000800
Training Epoch: 16 [29696/46250]	Loss: 0.3431	LR: 0.000800
Training Epoch: 16 [29952/46250]	Loss: 0.2722	LR: 0.000800
Training Epoch: 16 [30208/46250]	Loss: 0.2963	LR: 0.000800
Training Epoch: 16 [30464/46250]	Loss: 0.2621	LR: 0.000800
Training Epoch: 16 [30720/46250]	Loss: 0.3537	LR: 0.000800
Training Epoch: 16 [30976/46250]	Loss: 0.2065	LR: 0.000800
Training Epoch: 16 [31232/46250]	Loss: 0.2145	LR: 0.000800
Training Epoch: 16 [31488/46250]	Loss: 0.2840	LR: 0.000800
Training Epoch: 16 [31744/46250]	Loss: 0.3333	LR: 0.000800
Training Epoch: 16 [32000/46250]	Loss: 0.2954	LR: 0.000800
Training Epoch: 16 [32256/46250]	Loss: 0.2995	LR: 0.000800
Training Epoch: 16 [32512/46250]	Loss: 0.2275	LR: 0.000800
Training Epoch: 16 [32768/46250]	Loss: 0.2441	LR: 0.000800
Training Epoch: 16 [33024/46250]	Loss: 0.2604	LR: 0.000800
Training Epoch: 16 [33280/46250]	Loss: 0.3408	LR: 0.000800
Training Epoch: 16 [33536/46250]	Loss: 0.2648	LR: 0.000800
Training Epoch: 16 [33792/46250]	Loss: 0.3646	LR: 0.000800
Training Epoch: 16 [34048/46250]	Loss: 0.3290	LR: 0.000800
Training Epoch: 16 [34304/46250]	Loss: 0.2379	LR: 0.000800
Training Epoch: 16 [34560/46250]	Loss: 0.2877	LR: 0.000800
Training Epoch: 16 [34816/46250]	Loss: 0.2374	LR: 0.000800
Training Epoch: 16 [35072/46250]	Loss: 0.2741	LR: 0.000800
Training Epoch: 16 [35328/46250]	Loss: 0.2688	LR: 0.000800
Training Epoch: 16 [35584/46250]	Loss: 0.2110	LR: 0.000800
Training Epoch: 16 [35840/46250]	Loss: 0.2538	LR: 0.000800
Training Epoch: 16 [36096/46250]	Loss: 0.1663	LR: 0.000800
Training Epoch: 16 [36352/46250]	Loss: 0.2678	LR: 0.000800
Training Epoch: 16 [36608/46250]	Loss: 0.2624	LR: 0.000800
Training Epoch: 16 [36864/46250]	Loss: 0.3175	LR: 0.000800
Training Epoch: 16 [37120/46250]	Loss: 0.3324	LR: 0.000800
Training Epoch: 16 [37376/46250]	Loss: 0.3427	LR: 0.000800
Training Epoch: 16 [37632/46250]	Loss: 0.2778	LR: 0.000800
Training Epoch: 16 [37888/46250]	Loss: 0.3457	LR: 0.000800
Training Epoch: 16 [38144/46250]	Loss: 0.2644	LR: 0.000800
Training Epoch: 16 [38400/46250]	Loss: 0.2280	LR: 0.000800
Training Epoch: 16 [38656/46250]	Loss: 0.3137	LR: 0.000800
Training Epoch: 16 [38912/46250]	Loss: 0.2633	LR: 0.000800
Training Epoch: 16 [39168/46250]	Loss: 0.2834	LR: 0.000800
Training Epoch: 16 [39424/46250]	Loss: 0.3039	LR: 0.000800
Training Epoch: 16 [39680/46250]	Loss: 0.2044	LR: 0.000800
Training Epoch: 16 [39936/46250]	Loss: 0.2548	LR: 0.000800
Training Epoch: 16 [40192/46250]	Loss: 0.2844	LR: 0.000800
Training Epoch: 16 [40448/46250]	Loss: 0.3366	LR: 0.000800
Training Epoch: 16 [40704/46250]	Loss: 0.3234	LR: 0.000800
Training Epoch: 16 [40960/46250]	Loss: 0.2901	LR: 0.000800
Training Epoch: 16 [41216/46250]	Loss: 0.2672	LR: 0.000800
Training Epoch: 16 [41472/46250]	Loss: 0.2677	LR: 0.000800
Training Epoch: 16 [41728/46250]	Loss: 0.2589	LR: 0.000800
Training Epoch: 16 [41984/46250]	Loss: 0.2473	LR: 0.000800
Training Epoch: 16 [42240/46250]	Loss: 0.2400	LR: 0.000800
Training Epoch: 16 [42496/46250]	Loss: 0.2516	LR: 0.000800
Training Epoch: 16 [42752/46250]	Loss: 0.2968	LR: 0.000800
Training Epoch: 16 [43008/46250]	Loss: 0.2157	LR: 0.000800
Training Epoch: 16 [43264/46250]	Loss: 0.2786	LR: 0.000800
Training Epoch: 16 [43520/46250]	Loss: 0.3027	LR: 0.000800
Training Epoch: 16 [43776/46250]	Loss: 0.2908	LR: 0.000800
Training Epoch: 16 [44032/46250]	Loss: 0.2145	LR: 0.000800
Training Epoch: 16 [44288/46250]	Loss: 0.3164	LR: 0.000800
Training Epoch: 16 [44544/46250]	Loss: 0.2794	LR: 0.000800
Training Epoch: 16 [44800/46250]	Loss: 0.3537	LR: 0.000800
Training Epoch: 16 [45056/46250]	Loss: 0.2586	LR: 0.000800
Training Epoch: 16 [45312/46250]	Loss: 0.2204	LR: 0.000800
Training Epoch: 16 [45568/46250]	Loss: 0.2975	LR: 0.000800
Training Epoch: 16 [45824/46250]	Loss: 0.2498	LR: 0.000800
Training Epoch: 16 [46080/46250]	Loss: 0.2533	LR: 0.000800
Training Epoch: 16 [46250/46250]	Loss: 0.3116	LR: 0.000800
Epoch 16 - Average Train Loss: 0.2794, Train Accuracy: 0.9018
Epoch 16 training time consumed: 27.76s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0013, Accuracy: 0.8874, Time consumed:0.84s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_19h_02m_22s/ResNet18-Cifar10-seed2-ret25-16-best.pth
Training Epoch: 17 [256/46250]	Loss: 0.2449	LR: 0.000800
Training Epoch: 17 [512/46250]	Loss: 0.2236	LR: 0.000800
Training Epoch: 17 [768/46250]	Loss: 0.1982	LR: 0.000800
Training Epoch: 17 [1024/46250]	Loss: 0.3127	LR: 0.000800
Training Epoch: 17 [1280/46250]	Loss: 0.2524	LR: 0.000800
Training Epoch: 17 [1536/46250]	Loss: 0.2897	LR: 0.000800
Training Epoch: 17 [1792/46250]	Loss: 0.3224	LR: 0.000800
Training Epoch: 17 [2048/46250]	Loss: 0.2464	LR: 0.000800
Training Epoch: 17 [2304/46250]	Loss: 0.2492	LR: 0.000800
Training Epoch: 17 [2560/46250]	Loss: 0.2950	LR: 0.000800
Training Epoch: 17 [2816/46250]	Loss: 0.2526	LR: 0.000800
Training Epoch: 17 [3072/46250]	Loss: 0.2145	LR: 0.000800
Training Epoch: 17 [3328/46250]	Loss: 0.2670	LR: 0.000800
Training Epoch: 17 [3584/46250]	Loss: 0.3412	LR: 0.000800
Training Epoch: 17 [3840/46250]	Loss: 0.3307	LR: 0.000800
Training Epoch: 17 [4096/46250]	Loss: 0.2004	LR: 0.000800
Training Epoch: 17 [4352/46250]	Loss: 0.2456	LR: 0.000800
Training Epoch: 17 [4608/46250]	Loss: 0.3001	LR: 0.000800
Training Epoch: 17 [4864/46250]	Loss: 0.2679	LR: 0.000800
Training Epoch: 17 [5120/46250]	Loss: 0.2511	LR: 0.000800
Training Epoch: 17 [5376/46250]	Loss: 0.3146	LR: 0.000800
Training Epoch: 17 [5632/46250]	Loss: 0.2955	LR: 0.000800
Training Epoch: 17 [5888/46250]	Loss: 0.2678	LR: 0.000800
Training Epoch: 17 [6144/46250]	Loss: 0.2444	LR: 0.000800
Training Epoch: 17 [6400/46250]	Loss: 0.3117	LR: 0.000800
Training Epoch: 17 [6656/46250]	Loss: 0.3508	LR: 0.000800
Training Epoch: 17 [6912/46250]	Loss: 0.3100	LR: 0.000800
Training Epoch: 17 [7168/46250]	Loss: 0.3170	LR: 0.000800
Training Epoch: 17 [7424/46250]	Loss: 0.2442	LR: 0.000800
Training Epoch: 17 [7680/46250]	Loss: 0.3048	LR: 0.000800
Training Epoch: 17 [7936/46250]	Loss: 0.3857	LR: 0.000800
Training Epoch: 17 [8192/46250]	Loss: 0.2688	LR: 0.000800
Training Epoch: 17 [8448/46250]	Loss: 0.2937	LR: 0.000800
Training Epoch: 17 [8704/46250]	Loss: 0.2880	LR: 0.000800
Training Epoch: 17 [8960/46250]	Loss: 0.2538	LR: 0.000800
Training Epoch: 17 [9216/46250]	Loss: 0.3382	LR: 0.000800
Training Epoch: 17 [9472/46250]	Loss: 0.2660	LR: 0.000800
Training Epoch: 17 [9728/46250]	Loss: 0.2354	LR: 0.000800
Training Epoch: 17 [9984/46250]	Loss: 0.2091	LR: 0.000800
Training Epoch: 17 [10240/46250]	Loss: 0.3280	LR: 0.000800
Training Epoch: 17 [10496/46250]	Loss: 0.2342	LR: 0.000800
Training Epoch: 17 [10752/46250]	Loss: 0.3292	LR: 0.000800
Training Epoch: 17 [11008/46250]	Loss: 0.2837	LR: 0.000800
Training Epoch: 17 [11264/46250]	Loss: 0.2648	LR: 0.000800
Training Epoch: 17 [11520/46250]	Loss: 0.2987	LR: 0.000800
Training Epoch: 17 [11776/46250]	Loss: 0.2425	LR: 0.000800
Training Epoch: 17 [12032/46250]	Loss: 0.3199	LR: 0.000800
Training Epoch: 17 [12288/46250]	Loss: 0.2511	LR: 0.000800
Training Epoch: 17 [12544/46250]	Loss: 0.2543	LR: 0.000800
Training Epoch: 17 [12800/46250]	Loss: 0.2622	LR: 0.000800
Training Epoch: 17 [13056/46250]	Loss: 0.3177	LR: 0.000800
Training Epoch: 17 [13312/46250]	Loss: 0.3113	LR: 0.000800
Training Epoch: 17 [13568/46250]	Loss: 0.2894	LR: 0.000800
Training Epoch: 17 [13824/46250]	Loss: 0.2927	LR: 0.000800
Training Epoch: 17 [14080/46250]	Loss: 0.2985	LR: 0.000800
Training Epoch: 17 [14336/46250]	Loss: 0.2907	LR: 0.000800
Training Epoch: 17 [14592/46250]	Loss: 0.3098	LR: 0.000800
Training Epoch: 17 [14848/46250]	Loss: 0.2646	LR: 0.000800
Training Epoch: 17 [15104/46250]	Loss: 0.2396	LR: 0.000800
Training Epoch: 17 [15360/46250]	Loss: 0.2718	LR: 0.000800
Training Epoch: 17 [15616/46250]	Loss: 0.2753	LR: 0.000800
Training Epoch: 17 [15872/46250]	Loss: 0.2808	LR: 0.000800
Training Epoch: 17 [16128/46250]	Loss: 0.2645	LR: 0.000800
Training Epoch: 17 [16384/46250]	Loss: 0.2362	LR: 0.000800
Training Epoch: 17 [16640/46250]	Loss: 0.2255	LR: 0.000800
Training Epoch: 17 [16896/46250]	Loss: 0.3744	LR: 0.000800
Training Epoch: 17 [17152/46250]	Loss: 0.3072	LR: 0.000800
Training Epoch: 17 [17408/46250]	Loss: 0.2393	LR: 0.000800
Training Epoch: 17 [17664/46250]	Loss: 0.2810	LR: 0.000800
Training Epoch: 17 [17920/46250]	Loss: 0.2578	LR: 0.000800
Training Epoch: 17 [18176/46250]	Loss: 0.2823	LR: 0.000800
Training Epoch: 17 [18432/46250]	Loss: 0.2475	LR: 0.000800
Training Epoch: 17 [18688/46250]	Loss: 0.2560	LR: 0.000800
Training Epoch: 17 [18944/46250]	Loss: 0.2125	LR: 0.000800
Training Epoch: 17 [19200/46250]	Loss: 0.2818	LR: 0.000800
Training Epoch: 17 [19456/46250]	Loss: 0.2861	LR: 0.000800
Training Epoch: 17 [19712/46250]	Loss: 0.2823	LR: 0.000800
Training Epoch: 17 [19968/46250]	Loss: 0.3708	LR: 0.000800
Training Epoch: 17 [20224/46250]	Loss: 0.2587	LR: 0.000800
Training Epoch: 17 [20480/46250]	Loss: 0.3370	LR: 0.000800
Training Epoch: 17 [20736/46250]	Loss: 0.2714	LR: 0.000800
Training Epoch: 17 [20992/46250]	Loss: 0.3232	LR: 0.000800
Training Epoch: 17 [21248/46250]	Loss: 0.2106	LR: 0.000800
Training Epoch: 17 [21504/46250]	Loss: 0.2490	LR: 0.000800
Training Epoch: 17 [21760/46250]	Loss: 0.2866	LR: 0.000800
Training Epoch: 17 [22016/46250]	Loss: 0.2437	LR: 0.000800
Training Epoch: 17 [22272/46250]	Loss: 0.2483	LR: 0.000800
Training Epoch: 17 [22528/46250]	Loss: 0.2481	LR: 0.000800
Training Epoch: 17 [22784/46250]	Loss: 0.3166	LR: 0.000800
Training Epoch: 17 [23040/46250]	Loss: 0.2513	LR: 0.000800
Training Epoch: 17 [23296/46250]	Loss: 0.2517	LR: 0.000800
Training Epoch: 17 [23552/46250]	Loss: 0.2810	LR: 0.000800
Training Epoch: 17 [23808/46250]	Loss: 0.2504	LR: 0.000800
Training Epoch: 17 [24064/46250]	Loss: 0.2546	LR: 0.000800
Training Epoch: 17 [24320/46250]	Loss: 0.3066	LR: 0.000800
Training Epoch: 17 [24576/46250]	Loss: 0.3316	LR: 0.000800
Training Epoch: 17 [24832/46250]	Loss: 0.2457	LR: 0.000800
Training Epoch: 17 [25088/46250]	Loss: 0.2643	LR: 0.000800
Training Epoch: 17 [25344/46250]	Loss: 0.2686	LR: 0.000800
Training Epoch: 17 [25600/46250]	Loss: 0.1835	LR: 0.000800
Training Epoch: 17 [25856/46250]	Loss: 0.2029	LR: 0.000800
Training Epoch: 17 [26112/46250]	Loss: 0.2238	LR: 0.000800
Training Epoch: 17 [26368/46250]	Loss: 0.3101	LR: 0.000800
Training Epoch: 17 [26624/46250]	Loss: 0.2993	LR: 0.000800
Training Epoch: 17 [26880/46250]	Loss: 0.2766	LR: 0.000800
Training Epoch: 17 [27136/46250]	Loss: 0.2767	LR: 0.000800
Training Epoch: 17 [27392/46250]	Loss: 0.2825	LR: 0.000800
Training Epoch: 17 [27648/46250]	Loss: 0.2255	LR: 0.000800
Training Epoch: 17 [27904/46250]	Loss: 0.3130	LR: 0.000800
Training Epoch: 17 [28160/46250]	Loss: 0.2842	LR: 0.000800
Training Epoch: 17 [28416/46250]	Loss: 0.3518	LR: 0.000800
Training Epoch: 17 [28672/46250]	Loss: 0.3012	LR: 0.000800
Training Epoch: 17 [28928/46250]	Loss: 0.2712	LR: 0.000800
Training Epoch: 17 [29184/46250]	Loss: 0.2308	LR: 0.000800
Training Epoch: 17 [29440/46250]	Loss: 0.2491	LR: 0.000800
Training Epoch: 17 [29696/46250]	Loss: 0.2460	LR: 0.000800
Training Epoch: 17 [29952/46250]	Loss: 0.2335	LR: 0.000800
Training Epoch: 17 [30208/46250]	Loss: 0.2835	LR: 0.000800
Training Epoch: 17 [30464/46250]	Loss: 0.2856	LR: 0.000800
Training Epoch: 17 [30720/46250]	Loss: 0.2771	LR: 0.000800
Training Epoch: 17 [30976/46250]	Loss: 0.3762	LR: 0.000800
Training Epoch: 17 [31232/46250]	Loss: 0.3098	LR: 0.000800
Training Epoch: 17 [31488/46250]	Loss: 0.2344	LR: 0.000800
Training Epoch: 17 [31744/46250]	Loss: 0.2244	LR: 0.000800
Training Epoch: 17 [32000/46250]	Loss: 0.2945	LR: 0.000800
Training Epoch: 17 [32256/46250]	Loss: 0.3407	LR: 0.000800
Training Epoch: 17 [32512/46250]	Loss: 0.2797	LR: 0.000800
Training Epoch: 17 [32768/46250]	Loss: 0.3041	LR: 0.000800
Training Epoch: 17 [33024/46250]	Loss: 0.2710	LR: 0.000800
Training Epoch: 17 [33280/46250]	Loss: 0.3079	LR: 0.000800
Training Epoch: 17 [33536/46250]	Loss: 0.2599	LR: 0.000800
Training Epoch: 17 [33792/46250]	Loss: 0.2597	LR: 0.000800
Training Epoch: 17 [34048/46250]	Loss: 0.2220	LR: 0.000800
Training Epoch: 17 [34304/46250]	Loss: 0.2867	LR: 0.000800
Training Epoch: 17 [34560/46250]	Loss: 0.2600	LR: 0.000800
Training Epoch: 17 [34816/46250]	Loss: 0.2270	LR: 0.000800
Training Epoch: 17 [35072/46250]	Loss: 0.3169	LR: 0.000800
Training Epoch: 17 [35328/46250]	Loss: 0.2744	LR: 0.000800
Training Epoch: 17 [35584/46250]	Loss: 0.2852	LR: 0.000800
Training Epoch: 17 [35840/46250]	Loss: 0.2651	LR: 0.000800
Training Epoch: 17 [36096/46250]	Loss: 0.2323	LR: 0.000800
Training Epoch: 17 [36352/46250]	Loss: 0.2679	LR: 0.000800
Training Epoch: 17 [36608/46250]	Loss: 0.2991	LR: 0.000800
Training Epoch: 17 [36864/46250]	Loss: 0.2259	LR: 0.000800
Training Epoch: 17 [37120/46250]	Loss: 0.2558	LR: 0.000800
Training Epoch: 17 [37376/46250]	Loss: 0.2993	LR: 0.000800
Training Epoch: 17 [37632/46250]	Loss: 0.2586	LR: 0.000800
Training Epoch: 17 [37888/46250]	Loss: 0.2812	LR: 0.000800
Training Epoch: 17 [38144/46250]	Loss: 0.2951	LR: 0.000800
Training Epoch: 17 [38400/46250]	Loss: 0.2744	LR: 0.000800
Training Epoch: 17 [38656/46250]	Loss: 0.2497	LR: 0.000800
Training Epoch: 17 [38912/46250]	Loss: 0.2007	LR: 0.000800
Training Epoch: 17 [39168/46250]	Loss: 0.2268	LR: 0.000800
Training Epoch: 17 [39424/46250]	Loss: 0.2874	LR: 0.000800
Training Epoch: 17 [39680/46250]	Loss: 0.2506	LR: 0.000800
Training Epoch: 17 [39936/46250]	Loss: 0.2284	LR: 0.000800
Training Epoch: 17 [40192/46250]	Loss: 0.2913	LR: 0.000800
Training Epoch: 17 [40448/46250]	Loss: 0.2656	LR: 0.000800
Training Epoch: 17 [40704/46250]	Loss: 0.2359	LR: 0.000800
Training Epoch: 17 [40960/46250]	Loss: 0.2672	LR: 0.000800
Training Epoch: 17 [41216/46250]	Loss: 0.2886	LR: 0.000800
Training Epoch: 17 [41472/46250]	Loss: 0.2695	LR: 0.000800
Training Epoch: 17 [41728/46250]	Loss: 0.3122	LR: 0.000800
Training Epoch: 17 [41984/46250]	Loss: 0.2387	LR: 0.000800
Training Epoch: 17 [42240/46250]	Loss: 0.2326	LR: 0.000800
Training Epoch: 17 [42496/46250]	Loss: 0.2571	LR: 0.000800
Training Epoch: 17 [42752/46250]	Loss: 0.2632	LR: 0.000800
Training Epoch: 17 [43008/46250]	Loss: 0.3782	LR: 0.000800
Training Epoch: 17 [43264/46250]	Loss: 0.2491	LR: 0.000800
Training Epoch: 17 [43520/46250]	Loss: 0.2910	LR: 0.000800
Training Epoch: 17 [43776/46250]	Loss: 0.2833	LR: 0.000800
Training Epoch: 17 [44032/46250]	Loss: 0.2848	LR: 0.000800
Training Epoch: 17 [44288/46250]	Loss: 0.2924	LR: 0.000800
Training Epoch: 17 [44544/46250]	Loss: 0.1973	LR: 0.000800
Training Epoch: 17 [44800/46250]	Loss: 0.3016	LR: 0.000800
Training Epoch: 17 [45056/46250]	Loss: 0.2503	LR: 0.000800
Training Epoch: 17 [45312/46250]	Loss: 0.2398	LR: 0.000800
Training Epoch: 17 [45568/46250]	Loss: 0.3044	LR: 0.000800
Training Epoch: 17 [45824/46250]	Loss: 0.3128	LR: 0.000800
Training Epoch: 17 [46080/46250]	Loss: 0.2910	LR: 0.000800
Training Epoch: 17 [46250/46250]	Loss: 0.3470	LR: 0.000800
Epoch 17 - Average Train Loss: 0.2745, Train Accuracy: 0.9027
Epoch 17 training time consumed: 27.65s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0013, Accuracy: 0.8890, Time consumed:0.85s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_19h_02m_22s/ResNet18-Cifar10-seed2-ret25-17-best.pth
Training Epoch: 18 [256/46250]	Loss: 0.2704	LR: 0.000800
Training Epoch: 18 [512/46250]	Loss: 0.3277	LR: 0.000800
Training Epoch: 18 [768/46250]	Loss: 0.1978	LR: 0.000800
Training Epoch: 18 [1024/46250]	Loss: 0.3185	LR: 0.000800
Training Epoch: 18 [1280/46250]	Loss: 0.2418	LR: 0.000800
Training Epoch: 18 [1536/46250]	Loss: 0.2612	LR: 0.000800
Training Epoch: 18 [1792/46250]	Loss: 0.2025	LR: 0.000800
Training Epoch: 18 [2048/46250]	Loss: 0.2169	LR: 0.000800
Training Epoch: 18 [2304/46250]	Loss: 0.2394	LR: 0.000800
Training Epoch: 18 [2560/46250]	Loss: 0.2700	LR: 0.000800
Training Epoch: 18 [2816/46250]	Loss: 0.2189	LR: 0.000800
Training Epoch: 18 [3072/46250]	Loss: 0.3256	LR: 0.000800
Training Epoch: 18 [3328/46250]	Loss: 0.3529	LR: 0.000800
Training Epoch: 18 [3584/46250]	Loss: 0.2431	LR: 0.000800
Training Epoch: 18 [3840/46250]	Loss: 0.2494	LR: 0.000800
Training Epoch: 18 [4096/46250]	Loss: 0.2634	LR: 0.000800
Training Epoch: 18 [4352/46250]	Loss: 0.2426	LR: 0.000800
Training Epoch: 18 [4608/46250]	Loss: 0.1900	LR: 0.000800
Training Epoch: 18 [4864/46250]	Loss: 0.3074	LR: 0.000800
Training Epoch: 18 [5120/46250]	Loss: 0.2546	LR: 0.000800
Training Epoch: 18 [5376/46250]	Loss: 0.2916	LR: 0.000800
Training Epoch: 18 [5632/46250]	Loss: 0.2787	LR: 0.000800
Training Epoch: 18 [5888/46250]	Loss: 0.2282	LR: 0.000800
Training Epoch: 18 [6144/46250]	Loss: 0.2324	LR: 0.000800
Training Epoch: 18 [6400/46250]	Loss: 0.2423	LR: 0.000800
Training Epoch: 18 [6656/46250]	Loss: 0.1439	LR: 0.000800
Training Epoch: 18 [6912/46250]	Loss: 0.1974	LR: 0.000800
Training Epoch: 18 [7168/46250]	Loss: 0.3077	LR: 0.000800
Training Epoch: 18 [7424/46250]	Loss: 0.2540	LR: 0.000800
Training Epoch: 18 [7680/46250]	Loss: 0.2736	LR: 0.000800
Training Epoch: 18 [7936/46250]	Loss: 0.2789	LR: 0.000800
Training Epoch: 18 [8192/46250]	Loss: 0.2619	LR: 0.000800
Training Epoch: 18 [8448/46250]	Loss: 0.2438	LR: 0.000800
Training Epoch: 18 [8704/46250]	Loss: 0.2446	LR: 0.000800
Training Epoch: 18 [8960/46250]	Loss: 0.3387	LR: 0.000800
Training Epoch: 18 [9216/46250]	Loss: 0.2373	LR: 0.000800
Training Epoch: 18 [9472/46250]	Loss: 0.2941	LR: 0.000800
Training Epoch: 18 [9728/46250]	Loss: 0.2085	LR: 0.000800
Training Epoch: 18 [9984/46250]	Loss: 0.1995	LR: 0.000800
Training Epoch: 18 [10240/46250]	Loss: 0.2852	LR: 0.000800
Training Epoch: 18 [10496/46250]	Loss: 0.2785	LR: 0.000800
Training Epoch: 18 [10752/46250]	Loss: 0.2540	LR: 0.000800
Training Epoch: 18 [11008/46250]	Loss: 0.2484	LR: 0.000800
Training Epoch: 18 [11264/46250]	Loss: 0.1958	LR: 0.000800
Training Epoch: 18 [11520/46250]	Loss: 0.2719	LR: 0.000800
Training Epoch: 18 [11776/46250]	Loss: 0.3091	LR: 0.000800
Training Epoch: 18 [12032/46250]	Loss: 0.2959	LR: 0.000800
Training Epoch: 18 [12288/46250]	Loss: 0.3101	LR: 0.000800
Training Epoch: 18 [12544/46250]	Loss: 0.2351	LR: 0.000800
Training Epoch: 18 [12800/46250]	Loss: 0.2473	LR: 0.000800
Training Epoch: 18 [13056/46250]	Loss: 0.2507	LR: 0.000800
Training Epoch: 18 [13312/46250]	Loss: 0.2714	LR: 0.000800
Training Epoch: 18 [13568/46250]	Loss: 0.3887	LR: 0.000800
Training Epoch: 18 [13824/46250]	Loss: 0.2001	LR: 0.000800
Training Epoch: 18 [14080/46250]	Loss: 0.2506	LR: 0.000800
Training Epoch: 18 [14336/46250]	Loss: 0.2055	LR: 0.000800
Training Epoch: 18 [14592/46250]	Loss: 0.2116	LR: 0.000800
Training Epoch: 18 [14848/46250]	Loss: 0.2643	LR: 0.000800
Training Epoch: 18 [15104/46250]	Loss: 0.3141	LR: 0.000800
Training Epoch: 18 [15360/46250]	Loss: 0.3225	LR: 0.000800
Training Epoch: 18 [15616/46250]	Loss: 0.3715	LR: 0.000800
Training Epoch: 18 [15872/46250]	Loss: 0.2592	LR: 0.000800
Training Epoch: 18 [16128/46250]	Loss: 0.1907	LR: 0.000800
Training Epoch: 18 [16384/46250]	Loss: 0.3433	LR: 0.000800
Training Epoch: 18 [16640/46250]	Loss: 0.2099	LR: 0.000800
Training Epoch: 18 [16896/46250]	Loss: 0.2049	LR: 0.000800
Training Epoch: 18 [17152/46250]	Loss: 0.2991	LR: 0.000800
Training Epoch: 18 [17408/46250]	Loss: 0.3196	LR: 0.000800
Training Epoch: 18 [17664/46250]	Loss: 0.2776	LR: 0.000800
Training Epoch: 18 [17920/46250]	Loss: 0.3513	LR: 0.000800
Training Epoch: 18 [18176/46250]	Loss: 0.2609	LR: 0.000800
Training Epoch: 18 [18432/46250]	Loss: 0.2545	LR: 0.000800
Training Epoch: 18 [18688/46250]	Loss: 0.2564	LR: 0.000800
Training Epoch: 18 [18944/46250]	Loss: 0.2608	LR: 0.000800
Training Epoch: 18 [19200/46250]	Loss: 0.2511	LR: 0.000800
Training Epoch: 18 [19456/46250]	Loss: 0.2382	LR: 0.000800
Training Epoch: 18 [19712/46250]	Loss: 0.3324	LR: 0.000800
Training Epoch: 18 [19968/46250]	Loss: 0.2188	LR: 0.000800
Training Epoch: 18 [20224/46250]	Loss: 0.2830	LR: 0.000800
Training Epoch: 18 [20480/46250]	Loss: 0.2034	LR: 0.000800
Training Epoch: 18 [20736/46250]	Loss: 0.3367	LR: 0.000800
Training Epoch: 18 [20992/46250]	Loss: 0.2817	LR: 0.000800
Training Epoch: 18 [21248/46250]	Loss: 0.2690	LR: 0.000800
Training Epoch: 18 [21504/46250]	Loss: 0.3174	LR: 0.000800
Training Epoch: 18 [21760/46250]	Loss: 0.2672	LR: 0.000800
Training Epoch: 18 [22016/46250]	Loss: 0.3380	LR: 0.000800
Training Epoch: 18 [22272/46250]	Loss: 0.1973	LR: 0.000800
Training Epoch: 18 [22528/46250]	Loss: 0.1864	LR: 0.000800
Training Epoch: 18 [22784/46250]	Loss: 0.2654	LR: 0.000800
Training Epoch: 18 [23040/46250]	Loss: 0.2249	LR: 0.000800
Training Epoch: 18 [23296/46250]	Loss: 0.2576	LR: 0.000800
Training Epoch: 18 [23552/46250]	Loss: 0.3008	LR: 0.000800
Training Epoch: 18 [23808/46250]	Loss: 0.2805	LR: 0.000800
Training Epoch: 18 [24064/46250]	Loss: 0.2673	LR: 0.000800
Training Epoch: 18 [24320/46250]	Loss: 0.2122	LR: 0.000800
Training Epoch: 18 [24576/46250]	Loss: 0.2064	LR: 0.000800
Training Epoch: 18 [24832/46250]	Loss: 0.2875	LR: 0.000800
Training Epoch: 18 [25088/46250]	Loss: 0.2882	LR: 0.000800
Training Epoch: 18 [25344/46250]	Loss: 0.3224	LR: 0.000800
Training Epoch: 18 [25600/46250]	Loss: 0.2137	LR: 0.000800
Training Epoch: 18 [25856/46250]	Loss: 0.2048	LR: 0.000800
Training Epoch: 18 [26112/46250]	Loss: 0.2620	LR: 0.000800
Training Epoch: 18 [26368/46250]	Loss: 0.2943	LR: 0.000800
Training Epoch: 18 [26624/46250]	Loss: 0.3232	LR: 0.000800
Training Epoch: 18 [26880/46250]	Loss: 0.3359	LR: 0.000800
Training Epoch: 18 [27136/46250]	Loss: 0.3566	LR: 0.000800
Training Epoch: 18 [27392/46250]	Loss: 0.2631	LR: 0.000800
Training Epoch: 18 [27648/46250]	Loss: 0.2681	LR: 0.000800
Training Epoch: 18 [27904/46250]	Loss: 0.3149	LR: 0.000800
Training Epoch: 18 [28160/46250]	Loss: 0.2405	LR: 0.000800
Training Epoch: 18 [28416/46250]	Loss: 0.2925	LR: 0.000800
Training Epoch: 18 [28672/46250]	Loss: 0.3627	LR: 0.000800
Training Epoch: 18 [28928/46250]	Loss: 0.3211	LR: 0.000800
Training Epoch: 18 [29184/46250]	Loss: 0.2747	LR: 0.000800
Training Epoch: 18 [29440/46250]	Loss: 0.2495	LR: 0.000800
Training Epoch: 18 [29696/46250]	Loss: 0.2168	LR: 0.000800
Training Epoch: 18 [29952/46250]	Loss: 0.3346	LR: 0.000800
Training Epoch: 18 [30208/46250]	Loss: 0.2123	LR: 0.000800
Training Epoch: 18 [30464/46250]	Loss: 0.2906	LR: 0.000800
Training Epoch: 18 [30720/46250]	Loss: 0.1972	LR: 0.000800
Training Epoch: 18 [30976/46250]	Loss: 0.1961	LR: 0.000800
Training Epoch: 18 [31232/46250]	Loss: 0.2923	LR: 0.000800
Training Epoch: 18 [31488/46250]	Loss: 0.2767	LR: 0.000800
Training Epoch: 18 [31744/46250]	Loss: 0.3559	LR: 0.000800
Training Epoch: 18 [32000/46250]	Loss: 0.1826	LR: 0.000800
Training Epoch: 18 [32256/46250]	Loss: 0.3176	LR: 0.000800
Training Epoch: 18 [32512/46250]	Loss: 0.2036	LR: 0.000800
Training Epoch: 18 [32768/46250]	Loss: 0.2556	LR: 0.000800
Training Epoch: 18 [33024/46250]	Loss: 0.2726	LR: 0.000800
Training Epoch: 18 [33280/46250]	Loss: 0.2264	LR: 0.000800
Training Epoch: 18 [33536/46250]	Loss: 0.2318	LR: 0.000800
Training Epoch: 18 [33792/46250]	Loss: 0.2592	LR: 0.000800
Training Epoch: 18 [34048/46250]	Loss: 0.2233	LR: 0.000800
Training Epoch: 18 [34304/46250]	Loss: 0.2669	LR: 0.000800
Training Epoch: 18 [34560/46250]	Loss: 0.3337	LR: 0.000800
Training Epoch: 18 [34816/46250]	Loss: 0.2147	LR: 0.000800
Training Epoch: 18 [35072/46250]	Loss: 0.3175	LR: 0.000800
Training Epoch: 18 [35328/46250]	Loss: 0.3435	LR: 0.000800
Training Epoch: 18 [35584/46250]	Loss: 0.3049	LR: 0.000800
Training Epoch: 18 [35840/46250]	Loss: 0.3183	LR: 0.000800
Training Epoch: 18 [36096/46250]	Loss: 0.2548	LR: 0.000800
Training Epoch: 18 [36352/46250]	Loss: 0.2853	LR: 0.000800
Training Epoch: 18 [36608/46250]	Loss: 0.2324	LR: 0.000800
Training Epoch: 18 [36864/46250]	Loss: 0.2653	LR: 0.000800
Training Epoch: 18 [37120/46250]	Loss: 0.3284	LR: 0.000800
Training Epoch: 18 [37376/46250]	Loss: 0.2784	LR: 0.000800
Training Epoch: 18 [37632/46250]	Loss: 0.2920	LR: 0.000800
Training Epoch: 18 [37888/46250]	Loss: 0.3043	LR: 0.000800
Training Epoch: 18 [38144/46250]	Loss: 0.2661	LR: 0.000800
Training Epoch: 18 [38400/46250]	Loss: 0.2974	LR: 0.000800
Training Epoch: 18 [38656/46250]	Loss: 0.2862	LR: 0.000800
Training Epoch: 18 [38912/46250]	Loss: 0.2744	LR: 0.000800
Training Epoch: 18 [39168/46250]	Loss: 0.3622	LR: 0.000800
Training Epoch: 18 [39424/46250]	Loss: 0.3208	LR: 0.000800
Training Epoch: 18 [39680/46250]	Loss: 0.2458	LR: 0.000800
Training Epoch: 18 [39936/46250]	Loss: 0.2890	LR: 0.000800
Training Epoch: 18 [40192/46250]	Loss: 0.2816	LR: 0.000800
Training Epoch: 18 [40448/46250]	Loss: 0.3300	LR: 0.000800
Training Epoch: 18 [40704/46250]	Loss: 0.2467	LR: 0.000800
Training Epoch: 18 [40960/46250]	Loss: 0.2434	LR: 0.000800
Training Epoch: 18 [41216/46250]	Loss: 0.2470	LR: 0.000800
Training Epoch: 18 [41472/46250]	Loss: 0.2720	LR: 0.000800
Training Epoch: 18 [41728/46250]	Loss: 0.2668	LR: 0.000800
Training Epoch: 18 [41984/46250]	Loss: 0.2455	LR: 0.000800
Training Epoch: 18 [42240/46250]	Loss: 0.2307	LR: 0.000800
Training Epoch: 18 [42496/46250]	Loss: 0.2180	LR: 0.000800
Training Epoch: 18 [42752/46250]	Loss: 0.2470	LR: 0.000800
Training Epoch: 18 [43008/46250]	Loss: 0.3050	LR: 0.000800
Training Epoch: 18 [43264/46250]	Loss: 0.3274	LR: 0.000800
Training Epoch: 18 [43520/46250]	Loss: 0.3355	LR: 0.000800
Training Epoch: 18 [43776/46250]	Loss: 0.2155	LR: 0.000800
Training Epoch: 18 [44032/46250]	Loss: 0.3198	LR: 0.000800
Training Epoch: 18 [44288/46250]	Loss: 0.3052	LR: 0.000800
Training Epoch: 18 [44544/46250]	Loss: 0.2373	LR: 0.000800
Training Epoch: 18 [44800/46250]	Loss: 0.2692	LR: 0.000800
Training Epoch: 18 [45056/46250]	Loss: 0.4101	LR: 0.000800
Training Epoch: 18 [45312/46250]	Loss: 0.2016	LR: 0.000800
Training Epoch: 18 [45568/46250]	Loss: 0.2322	LR: 0.000800
Training Epoch: 18 [45824/46250]	Loss: 0.3456	LR: 0.000800
Training Epoch: 18 [46080/46250]	Loss: 0.2986	LR: 0.000800
Training Epoch: 18 [46250/46250]	Loss: 0.2173	LR: 0.000800
Epoch 18 - Average Train Loss: 0.2692, Train Accuracy: 0.9072
Epoch 18 training time consumed: 27.55s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0013, Accuracy: 0.8877, Time consumed:0.89s
Training Epoch: 19 [256/46250]	Loss: 0.3257	LR: 0.000800
Training Epoch: 19 [512/46250]	Loss: 0.1808	LR: 0.000800
Training Epoch: 19 [768/46250]	Loss: 0.2831	LR: 0.000800
Training Epoch: 19 [1024/46250]	Loss: 0.3314	LR: 0.000800
Training Epoch: 19 [1280/46250]	Loss: 0.2371	LR: 0.000800
Training Epoch: 19 [1536/46250]	Loss: 0.2799	LR: 0.000800
Training Epoch: 19 [1792/46250]	Loss: 0.2658	LR: 0.000800
Training Epoch: 19 [2048/46250]	Loss: 0.2158	LR: 0.000800
Training Epoch: 19 [2304/46250]	Loss: 0.2119	LR: 0.000800
Training Epoch: 19 [2560/46250]	Loss: 0.2435	LR: 0.000800
Training Epoch: 19 [2816/46250]	Loss: 0.2510	LR: 0.000800
Training Epoch: 19 [3072/46250]	Loss: 0.2807	LR: 0.000800
Training Epoch: 19 [3328/46250]	Loss: 0.2543	LR: 0.000800
Training Epoch: 19 [3584/46250]	Loss: 0.3013	LR: 0.000800
Training Epoch: 19 [3840/46250]	Loss: 0.1940	LR: 0.000800
Training Epoch: 19 [4096/46250]	Loss: 0.3171	LR: 0.000800
Training Epoch: 19 [4352/46250]	Loss: 0.3152	LR: 0.000800
Training Epoch: 19 [4608/46250]	Loss: 0.3285	LR: 0.000800
Training Epoch: 19 [4864/46250]	Loss: 0.3218	LR: 0.000800
Training Epoch: 19 [5120/46250]	Loss: 0.2998	LR: 0.000800
Training Epoch: 19 [5376/46250]	Loss: 0.2916	LR: 0.000800
Training Epoch: 19 [5632/46250]	Loss: 0.1990	LR: 0.000800
Training Epoch: 19 [5888/46250]	Loss: 0.3476	LR: 0.000800
Training Epoch: 19 [6144/46250]	Loss: 0.3446	LR: 0.000800
Training Epoch: 19 [6400/46250]	Loss: 0.3007	LR: 0.000800
Training Epoch: 19 [6656/46250]	Loss: 0.2436	LR: 0.000800
Training Epoch: 19 [6912/46250]	Loss: 0.2418	LR: 0.000800
Training Epoch: 19 [7168/46250]	Loss: 0.2871	LR: 0.000800
Training Epoch: 19 [7424/46250]	Loss: 0.2352	LR: 0.000800
Training Epoch: 19 [7680/46250]	Loss: 0.2402	LR: 0.000800
Training Epoch: 19 [7936/46250]	Loss: 0.3160	LR: 0.000800
Training Epoch: 19 [8192/46250]	Loss: 0.2573	LR: 0.000800
Training Epoch: 19 [8448/46250]	Loss: 0.2345	LR: 0.000800
Training Epoch: 19 [8704/46250]	Loss: 0.2737	LR: 0.000800
Training Epoch: 19 [8960/46250]	Loss: 0.2429	LR: 0.000800
Training Epoch: 19 [9216/46250]	Loss: 0.2424	LR: 0.000800
Training Epoch: 19 [9472/46250]	Loss: 0.2662	LR: 0.000800
Training Epoch: 19 [9728/46250]	Loss: 0.2779	LR: 0.000800
Training Epoch: 19 [9984/46250]	Loss: 0.3036	LR: 0.000800
Training Epoch: 19 [10240/46250]	Loss: 0.2651	LR: 0.000800
Training Epoch: 19 [10496/46250]	Loss: 0.3626	LR: 0.000800
Training Epoch: 19 [10752/46250]	Loss: 0.3054	LR: 0.000800
Training Epoch: 19 [11008/46250]	Loss: 0.2408	LR: 0.000800
Training Epoch: 19 [11264/46250]	Loss: 0.2605	LR: 0.000800
Training Epoch: 19 [11520/46250]	Loss: 0.2708	LR: 0.000800
Training Epoch: 19 [11776/46250]	Loss: 0.2684	LR: 0.000800
Training Epoch: 19 [12032/46250]	Loss: 0.2930	LR: 0.000800
Training Epoch: 19 [12288/46250]	Loss: 0.2893	LR: 0.000800
Training Epoch: 19 [12544/46250]	Loss: 0.3153	LR: 0.000800
Training Epoch: 19 [12800/46250]	Loss: 0.3191	LR: 0.000800
Training Epoch: 19 [13056/46250]	Loss: 0.2400	LR: 0.000800
Training Epoch: 19 [13312/46250]	Loss: 0.2589	LR: 0.000800
Training Epoch: 19 [13568/46250]	Loss: 0.2878	LR: 0.000800
Training Epoch: 19 [13824/46250]	Loss: 0.2710	LR: 0.000800
Training Epoch: 19 [14080/46250]	Loss: 0.2983	LR: 0.000800
Training Epoch: 19 [14336/46250]	Loss: 0.1894	LR: 0.000800
Training Epoch: 19 [14592/46250]	Loss: 0.2414	LR: 0.000800
Training Epoch: 19 [14848/46250]	Loss: 0.2720	LR: 0.000800
Training Epoch: 19 [15104/46250]	Loss: 0.2564	LR: 0.000800
Training Epoch: 19 [15360/46250]	Loss: 0.3089	LR: 0.000800
Training Epoch: 19 [15616/46250]	Loss: 0.2746	LR: 0.000800
Training Epoch: 19 [15872/46250]	Loss: 0.2031	LR: 0.000800
Training Epoch: 19 [16128/46250]	Loss: 0.2875	LR: 0.000800
Training Epoch: 19 [16384/46250]	Loss: 0.2794	LR: 0.000800
Training Epoch: 19 [16640/46250]	Loss: 0.2541	LR: 0.000800
Training Epoch: 19 [16896/46250]	Loss: 0.3284	LR: 0.000800
Training Epoch: 19 [17152/46250]	Loss: 0.1991	LR: 0.000800
Training Epoch: 19 [17408/46250]	Loss: 0.2102	LR: 0.000800
Training Epoch: 19 [17664/46250]	Loss: 0.2406	LR: 0.000800
Training Epoch: 19 [17920/46250]	Loss: 0.2479	LR: 0.000800
Training Epoch: 19 [18176/46250]	Loss: 0.1777	LR: 0.000800
Training Epoch: 19 [18432/46250]	Loss: 0.2560	LR: 0.000800
Training Epoch: 19 [18688/46250]	Loss: 0.1791	LR: 0.000800
Training Epoch: 19 [18944/46250]	Loss: 0.2024	LR: 0.000800
Training Epoch: 19 [19200/46250]	Loss: 0.2147	LR: 0.000800
Training Epoch: 19 [19456/46250]	Loss: 0.2369	LR: 0.000800
Training Epoch: 19 [19712/46250]	Loss: 0.2342	LR: 0.000800
Training Epoch: 19 [19968/46250]	Loss: 0.3005	LR: 0.000800
Training Epoch: 19 [20224/46250]	Loss: 0.2991	LR: 0.000800
Training Epoch: 19 [20480/46250]	Loss: 0.2418	LR: 0.000800
Training Epoch: 19 [20736/46250]	Loss: 0.2576	LR: 0.000800
Training Epoch: 19 [20992/46250]	Loss: 0.2878	LR: 0.000800
Training Epoch: 19 [21248/46250]	Loss: 0.3351	LR: 0.000800
Training Epoch: 19 [21504/46250]	Loss: 0.2697	LR: 0.000800
Training Epoch: 19 [21760/46250]	Loss: 0.2298	LR: 0.000800
Training Epoch: 19 [22016/46250]	Loss: 0.3135	LR: 0.000800
Training Epoch: 19 [22272/46250]	Loss: 0.2615	LR: 0.000800
Training Epoch: 19 [22528/46250]	Loss: 0.1900	LR: 0.000800
Training Epoch: 19 [22784/46250]	Loss: 0.2540	LR: 0.000800
Training Epoch: 19 [23040/46250]	Loss: 0.3217	LR: 0.000800
Training Epoch: 19 [23296/46250]	Loss: 0.2841	LR: 0.000800
Training Epoch: 19 [23552/46250]	Loss: 0.2649	LR: 0.000800
Training Epoch: 19 [23808/46250]	Loss: 0.2765	LR: 0.000800
Training Epoch: 19 [24064/46250]	Loss: 0.2729	LR: 0.000800
Training Epoch: 19 [24320/46250]	Loss: 0.2515	LR: 0.000800
Training Epoch: 19 [24576/46250]	Loss: 0.1830	LR: 0.000800
Training Epoch: 19 [24832/46250]	Loss: 0.2040	LR: 0.000800
Training Epoch: 19 [25088/46250]	Loss: 0.3180	LR: 0.000800
Training Epoch: 19 [25344/46250]	Loss: 0.3332	LR: 0.000800
Training Epoch: 19 [25600/46250]	Loss: 0.1880	LR: 0.000800
Training Epoch: 19 [25856/46250]	Loss: 0.3385	LR: 0.000800
Training Epoch: 19 [26112/46250]	Loss: 0.3061	LR: 0.000800
Training Epoch: 19 [26368/46250]	Loss: 0.2736	LR: 0.000800
Training Epoch: 19 [26624/46250]	Loss: 0.3157	LR: 0.000800
Training Epoch: 19 [26880/46250]	Loss: 0.2048	LR: 0.000800
Training Epoch: 19 [27136/46250]	Loss: 0.2961	LR: 0.000800
Training Epoch: 19 [27392/46250]	Loss: 0.2209	LR: 0.000800
Training Epoch: 19 [27648/46250]	Loss: 0.2027	LR: 0.000800
Training Epoch: 19 [27904/46250]	Loss: 0.3426	LR: 0.000800
Training Epoch: 19 [28160/46250]	Loss: 0.2533	LR: 0.000800
Training Epoch: 19 [28416/46250]	Loss: 0.2003	LR: 0.000800
Training Epoch: 19 [28672/46250]	Loss: 0.3276	LR: 0.000800
Training Epoch: 19 [28928/46250]	Loss: 0.3499	LR: 0.000800
Training Epoch: 19 [29184/46250]	Loss: 0.3117	LR: 0.000800
Training Epoch: 19 [29440/46250]	Loss: 0.3688	LR: 0.000800
Training Epoch: 19 [29696/46250]	Loss: 0.2844	LR: 0.000800
Training Epoch: 19 [29952/46250]	Loss: 0.2514	LR: 0.000800
Training Epoch: 19 [30208/46250]	Loss: 0.2976	LR: 0.000800
Training Epoch: 19 [30464/46250]	Loss: 0.3482	LR: 0.000800
Training Epoch: 19 [30720/46250]	Loss: 0.2620	LR: 0.000800
Training Epoch: 19 [30976/46250]	Loss: 0.2940	LR: 0.000800
Training Epoch: 19 [31232/46250]	Loss: 0.2294	LR: 0.000800
Training Epoch: 19 [31488/46250]	Loss: 0.2314	LR: 0.000800
Training Epoch: 19 [31744/46250]	Loss: 0.3239	LR: 0.000800
Training Epoch: 19 [32000/46250]	Loss: 0.2308	LR: 0.000800
Training Epoch: 19 [32256/46250]	Loss: 0.2377	LR: 0.000800
Training Epoch: 19 [32512/46250]	Loss: 0.2966	LR: 0.000800
Training Epoch: 19 [32768/46250]	Loss: 0.2891	LR: 0.000800
Training Epoch: 19 [33024/46250]	Loss: 0.2078	LR: 0.000800
Training Epoch: 19 [33280/46250]	Loss: 0.2204	LR: 0.000800
Training Epoch: 19 [33536/46250]	Loss: 0.2559	LR: 0.000800
Training Epoch: 19 [33792/46250]	Loss: 0.2705	LR: 0.000800
Training Epoch: 19 [34048/46250]	Loss: 0.2021	LR: 0.000800
Training Epoch: 19 [34304/46250]	Loss: 0.2687	LR: 0.000800
Training Epoch: 19 [34560/46250]	Loss: 0.3440	LR: 0.000800
Training Epoch: 19 [34816/46250]	Loss: 0.2626	LR: 0.000800
Training Epoch: 19 [35072/46250]	Loss: 0.2498	LR: 0.000800
Training Epoch: 19 [35328/46250]	Loss: 0.2440	LR: 0.000800
Training Epoch: 19 [35584/46250]	Loss: 0.2263	LR: 0.000800
Training Epoch: 19 [35840/46250]	Loss: 0.2365	LR: 0.000800
Training Epoch: 19 [36096/46250]	Loss: 0.2478	LR: 0.000800
Training Epoch: 19 [36352/46250]	Loss: 0.2267	LR: 0.000800
Training Epoch: 19 [36608/46250]	Loss: 0.2430	LR: 0.000800
Training Epoch: 19 [36864/46250]	Loss: 0.3048	LR: 0.000800
Training Epoch: 19 [37120/46250]	Loss: 0.2588	LR: 0.000800
Training Epoch: 19 [37376/46250]	Loss: 0.2366	LR: 0.000800
Training Epoch: 19 [37632/46250]	Loss: 0.3956	LR: 0.000800
Training Epoch: 19 [37888/46250]	Loss: 0.3468	LR: 0.000800
Training Epoch: 19 [38144/46250]	Loss: 0.2392	LR: 0.000800
Training Epoch: 19 [38400/46250]	Loss: 0.2553	LR: 0.000800
Training Epoch: 19 [38656/46250]	Loss: 0.3268	LR: 0.000800
Training Epoch: 19 [38912/46250]	Loss: 0.3302	LR: 0.000800
Training Epoch: 19 [39168/46250]	Loss: 0.2636	LR: 0.000800
Training Epoch: 19 [39424/46250]	Loss: 0.3299	LR: 0.000800
Training Epoch: 19 [39680/46250]	Loss: 0.2513	LR: 0.000800
Training Epoch: 19 [39936/46250]	Loss: 0.2898	LR: 0.000800
Training Epoch: 19 [40192/46250]	Loss: 0.2888	LR: 0.000800
Training Epoch: 19 [40448/46250]	Loss: 0.2818	LR: 0.000800
Training Epoch: 19 [40704/46250]	Loss: 0.3070	LR: 0.000800
Training Epoch: 19 [40960/46250]	Loss: 0.3186	LR: 0.000800
Training Epoch: 19 [41216/46250]	Loss: 0.1793	LR: 0.000800
Training Epoch: 19 [41472/46250]	Loss: 0.2710	LR: 0.000800
Training Epoch: 19 [41728/46250]	Loss: 0.2653	LR: 0.000800
Training Epoch: 19 [41984/46250]	Loss: 0.3229	LR: 0.000800
Training Epoch: 19 [42240/46250]	Loss: 0.2051	LR: 0.000800
Training Epoch: 19 [42496/46250]	Loss: 0.3004	LR: 0.000800
Training Epoch: 19 [42752/46250]	Loss: 0.2840	LR: 0.000800
Training Epoch: 19 [43008/46250]	Loss: 0.3116	LR: 0.000800
Training Epoch: 19 [43264/46250]	Loss: 0.2615	LR: 0.000800
Training Epoch: 19 [43520/46250]	Loss: 0.2931	LR: 0.000800
Training Epoch: 19 [43776/46250]	Loss: 0.3244	LR: 0.000800
Training Epoch: 19 [44032/46250]	Loss: 0.2600	LR: 0.000800
Training Epoch: 19 [44288/46250]	Loss: 0.2833	LR: 0.000800
Training Epoch: 19 [44544/46250]	Loss: 0.2458	LR: 0.000800
Training Epoch: 19 [44800/46250]	Loss: 0.2130	LR: 0.000800
Training Epoch: 19 [45056/46250]	Loss: 0.2675	LR: 0.000800
Training Epoch: 19 [45312/46250]	Loss: 0.2440	LR: 0.000800
Training Epoch: 19 [45568/46250]	Loss: 0.3288	LR: 0.000800
Training Epoch: 19 [45824/46250]	Loss: 0.2106	LR: 0.000800
Training Epoch: 19 [46080/46250]	Loss: 0.2891	LR: 0.000800
Training Epoch: 19 [46250/46250]	Loss: 0.2887	LR: 0.000800
Epoch 19 - Average Train Loss: 0.2698, Train Accuracy: 0.9069
Epoch 19 training time consumed: 27.59s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0013, Accuracy: 0.8883, Time consumed:0.86s
Training Epoch: 20 [256/46250]	Loss: 0.2025	LR: 0.000800
Training Epoch: 20 [512/46250]	Loss: 0.2458	LR: 0.000800
Training Epoch: 20 [768/46250]	Loss: 0.2855	LR: 0.000800
Training Epoch: 20 [1024/46250]	Loss: 0.2505	LR: 0.000800
Training Epoch: 20 [1280/46250]	Loss: 0.2542	LR: 0.000800
Training Epoch: 20 [1536/46250]	Loss: 0.2978	LR: 0.000800
Training Epoch: 20 [1792/46250]	Loss: 0.2733	LR: 0.000800
Training Epoch: 20 [2048/46250]	Loss: 0.2528	LR: 0.000800
Training Epoch: 20 [2304/46250]	Loss: 0.3114	LR: 0.000800
Training Epoch: 20 [2560/46250]	Loss: 0.2608	LR: 0.000800
Training Epoch: 20 [2816/46250]	Loss: 0.2459	LR: 0.000800
Training Epoch: 20 [3072/46250]	Loss: 0.2924	LR: 0.000800
Training Epoch: 20 [3328/46250]	Loss: 0.2376	LR: 0.000800
Training Epoch: 20 [3584/46250]	Loss: 0.3392	LR: 0.000800
Training Epoch: 20 [3840/46250]	Loss: 0.3139	LR: 0.000800
Training Epoch: 20 [4096/46250]	Loss: 0.2932	LR: 0.000800
Training Epoch: 20 [4352/46250]	Loss: 0.2366	LR: 0.000800
Training Epoch: 20 [4608/46250]	Loss: 0.2354	LR: 0.000800
Training Epoch: 20 [4864/46250]	Loss: 0.2440	LR: 0.000800
Training Epoch: 20 [5120/46250]	Loss: 0.2661	LR: 0.000800
Training Epoch: 20 [5376/46250]	Loss: 0.2999	LR: 0.000800
Training Epoch: 20 [5632/46250]	Loss: 0.2475	LR: 0.000800
Training Epoch: 20 [5888/46250]	Loss: 0.2600	LR: 0.000800
Training Epoch: 20 [6144/46250]	Loss: 0.2659	LR: 0.000800
Training Epoch: 20 [6400/46250]	Loss: 0.2701	LR: 0.000800
Training Epoch: 20 [6656/46250]	Loss: 0.2697	LR: 0.000800
Training Epoch: 20 [6912/46250]	Loss: 0.2353	LR: 0.000800
Training Epoch: 20 [7168/46250]	Loss: 0.2272	LR: 0.000800
Training Epoch: 20 [7424/46250]	Loss: 0.2723	LR: 0.000800
Training Epoch: 20 [7680/46250]	Loss: 0.2834	LR: 0.000800
Training Epoch: 20 [7936/46250]	Loss: 0.3069	LR: 0.000800
Training Epoch: 20 [8192/46250]	Loss: 0.2170	LR: 0.000800
Training Epoch: 20 [8448/46250]	Loss: 0.2774	LR: 0.000800
Training Epoch: 20 [8704/46250]	Loss: 0.1846	LR: 0.000800
Training Epoch: 20 [8960/46250]	Loss: 0.2678	LR: 0.000800
Training Epoch: 20 [9216/46250]	Loss: 0.2841	LR: 0.000800
Training Epoch: 20 [9472/46250]	Loss: 0.2781	LR: 0.000800
Training Epoch: 20 [9728/46250]	Loss: 0.2604	LR: 0.000800
Training Epoch: 20 [9984/46250]	Loss: 0.2383	LR: 0.000800
Training Epoch: 20 [10240/46250]	Loss: 0.2935	LR: 0.000800
Training Epoch: 20 [10496/46250]	Loss: 0.2676	LR: 0.000800
Training Epoch: 20 [10752/46250]	Loss: 0.2111	LR: 0.000800
Training Epoch: 20 [11008/46250]	Loss: 0.2834	LR: 0.000800
Training Epoch: 20 [11264/46250]	Loss: 0.3086	LR: 0.000800
Training Epoch: 20 [11520/46250]	Loss: 0.3450	LR: 0.000800
Training Epoch: 20 [11776/46250]	Loss: 0.1898	LR: 0.000800
Training Epoch: 20 [12032/46250]	Loss: 0.3113	LR: 0.000800
Training Epoch: 20 [12288/46250]	Loss: 0.2355	LR: 0.000800
Training Epoch: 20 [12544/46250]	Loss: 0.2057	LR: 0.000800
Training Epoch: 20 [12800/46250]	Loss: 0.2639	LR: 0.000800
Training Epoch: 20 [13056/46250]	Loss: 0.3988	LR: 0.000800
Training Epoch: 20 [13312/46250]	Loss: 0.2207	LR: 0.000800
Training Epoch: 20 [13568/46250]	Loss: 0.2521	LR: 0.000800
Training Epoch: 20 [13824/46250]	Loss: 0.3188	LR: 0.000800
Training Epoch: 20 [14080/46250]	Loss: 0.2920	LR: 0.000800
Training Epoch: 20 [14336/46250]	Loss: 0.3172	LR: 0.000800
Training Epoch: 20 [14592/46250]	Loss: 0.2930	LR: 0.000800
Training Epoch: 20 [14848/46250]	Loss: 0.2312	LR: 0.000800
Training Epoch: 20 [15104/46250]	Loss: 0.2820	LR: 0.000800
Training Epoch: 20 [15360/46250]	Loss: 0.2271	LR: 0.000800
Training Epoch: 20 [15616/46250]	Loss: 0.2678	LR: 0.000800
Training Epoch: 20 [15872/46250]	Loss: 0.2899	LR: 0.000800
Training Epoch: 20 [16128/46250]	Loss: 0.2400	LR: 0.000800
Training Epoch: 20 [16384/46250]	Loss: 0.2847	LR: 0.000800
Training Epoch: 20 [16640/46250]	Loss: 0.3250	LR: 0.000800
Training Epoch: 20 [16896/46250]	Loss: 0.2897	LR: 0.000800
Training Epoch: 20 [17152/46250]	Loss: 0.2939	LR: 0.000800
Training Epoch: 20 [17408/46250]	Loss: 0.2229	LR: 0.000800
Training Epoch: 20 [17664/46250]	Loss: 0.3072	LR: 0.000800
Training Epoch: 20 [17920/46250]	Loss: 0.3419	LR: 0.000800
Training Epoch: 20 [18176/46250]	Loss: 0.2355	LR: 0.000800
Training Epoch: 20 [18432/46250]	Loss: 0.2872	LR: 0.000800
Training Epoch: 20 [18688/46250]	Loss: 0.2490	LR: 0.000800
Training Epoch: 20 [18944/46250]	Loss: 0.2472	LR: 0.000800
Training Epoch: 20 [19200/46250]	Loss: 0.2590	LR: 0.000800
Training Epoch: 20 [19456/46250]	Loss: 0.2589	LR: 0.000800
Training Epoch: 20 [19712/46250]	Loss: 0.1906	LR: 0.000800
Training Epoch: 20 [19968/46250]	Loss: 0.2713	LR: 0.000800
Training Epoch: 20 [20224/46250]	Loss: 0.2978	LR: 0.000800
Training Epoch: 20 [20480/46250]	Loss: 0.2367	LR: 0.000800
Training Epoch: 20 [20736/46250]	Loss: 0.3622	LR: 0.000800
Training Epoch: 20 [20992/46250]	Loss: 0.2846	LR: 0.000800
Training Epoch: 20 [21248/46250]	Loss: 0.3185	LR: 0.000800
Training Epoch: 20 [21504/46250]	Loss: 0.2560	LR: 0.000800
Training Epoch: 20 [21760/46250]	Loss: 0.2278	LR: 0.000800
Training Epoch: 20 [22016/46250]	Loss: 0.2703	LR: 0.000800
Training Epoch: 20 [22272/46250]	Loss: 0.2650	LR: 0.000800
Training Epoch: 20 [22528/46250]	Loss: 0.2255	LR: 0.000800
Training Epoch: 20 [22784/46250]	Loss: 0.2202	LR: 0.000800
Training Epoch: 20 [23040/46250]	Loss: 0.2115	LR: 0.000800
Training Epoch: 20 [23296/46250]	Loss: 0.3503	LR: 0.000800
Training Epoch: 20 [23552/46250]	Loss: 0.1907	LR: 0.000800
Training Epoch: 20 [23808/46250]	Loss: 0.2298	LR: 0.000800
Training Epoch: 20 [24064/46250]	Loss: 0.2276	LR: 0.000800
Training Epoch: 20 [24320/46250]	Loss: 0.2185	LR: 0.000800
Training Epoch: 20 [24576/46250]	Loss: 0.3191	LR: 0.000800
Training Epoch: 20 [24832/46250]	Loss: 0.2671	LR: 0.000800
Training Epoch: 20 [25088/46250]	Loss: 0.2626	LR: 0.000800
Training Epoch: 20 [25344/46250]	Loss: 0.2257	LR: 0.000800
Training Epoch: 20 [25600/46250]	Loss: 0.2498	LR: 0.000800
Training Epoch: 20 [25856/46250]	Loss: 0.2609	LR: 0.000800
Training Epoch: 20 [26112/46250]	Loss: 0.3077	LR: 0.000800
Training Epoch: 20 [26368/46250]	Loss: 0.2827	LR: 0.000800
Training Epoch: 20 [26624/46250]	Loss: 0.2363	LR: 0.000800
Training Epoch: 20 [26880/46250]	Loss: 0.1565	LR: 0.000800
Training Epoch: 20 [27136/46250]	Loss: 0.2419	LR: 0.000800
Training Epoch: 20 [27392/46250]	Loss: 0.3329	LR: 0.000800
Training Epoch: 20 [27648/46250]	Loss: 0.2814	LR: 0.000800
Training Epoch: 20 [27904/46250]	Loss: 0.3123	LR: 0.000800
Training Epoch: 20 [28160/46250]	Loss: 0.2032	LR: 0.000800
Training Epoch: 20 [28416/46250]	Loss: 0.2500	LR: 0.000800
Training Epoch: 20 [28672/46250]	Loss: 0.2549	LR: 0.000800
Training Epoch: 20 [28928/46250]	Loss: 0.3057	LR: 0.000800
Training Epoch: 20 [29184/46250]	Loss: 0.2341	LR: 0.000800
Training Epoch: 20 [29440/46250]	Loss: 0.2145	LR: 0.000800
Training Epoch: 20 [29696/46250]	Loss: 0.2414	LR: 0.000800
Training Epoch: 20 [29952/46250]	Loss: 0.2912	LR: 0.000800
Training Epoch: 20 [30208/46250]	Loss: 0.3157	LR: 0.000800
Training Epoch: 20 [30464/46250]	Loss: 0.3445	LR: 0.000800
Training Epoch: 20 [30720/46250]	Loss: 0.2325	LR: 0.000800
Training Epoch: 20 [30976/46250]	Loss: 0.2878	LR: 0.000800
Training Epoch: 20 [31232/46250]	Loss: 0.3262	LR: 0.000800
Training Epoch: 20 [31488/46250]	Loss: 0.2555	LR: 0.000800
Training Epoch: 20 [31744/46250]	Loss: 0.2349	LR: 0.000800
Training Epoch: 20 [32000/46250]	Loss: 0.3068	LR: 0.000800
Training Epoch: 20 [32256/46250]	Loss: 0.2514	LR: 0.000800
Training Epoch: 20 [32512/46250]	Loss: 0.3103	LR: 0.000800
Training Epoch: 20 [32768/46250]	Loss: 0.3419	LR: 0.000800
Training Epoch: 20 [33024/46250]	Loss: 0.2303	LR: 0.000800
Training Epoch: 20 [33280/46250]	Loss: 0.2389	LR: 0.000800
Training Epoch: 20 [33536/46250]	Loss: 0.3025	LR: 0.000800
Training Epoch: 20 [33792/46250]	Loss: 0.2828	LR: 0.000800
Training Epoch: 20 [34048/46250]	Loss: 0.2684	LR: 0.000800
Training Epoch: 20 [34304/46250]	Loss: 0.2525	LR: 0.000800
Training Epoch: 20 [34560/46250]	Loss: 0.3270	LR: 0.000800
Training Epoch: 20 [34816/46250]	Loss: 0.2390	LR: 0.000800
Training Epoch: 20 [35072/46250]	Loss: 0.2191	LR: 0.000800
Training Epoch: 20 [35328/46250]	Loss: 0.2958	LR: 0.000800
Training Epoch: 20 [35584/46250]	Loss: 0.2825	LR: 0.000800
Training Epoch: 20 [35840/46250]	Loss: 0.2822	LR: 0.000800
Training Epoch: 20 [36096/46250]	Loss: 0.2961	LR: 0.000800
Training Epoch: 20 [36352/46250]	Loss: 0.1891	LR: 0.000800
Training Epoch: 20 [36608/46250]	Loss: 0.3057	LR: 0.000800
Training Epoch: 20 [36864/46250]	Loss: 0.2634	LR: 0.000800
Training Epoch: 20 [37120/46250]	Loss: 0.2799	LR: 0.000800
Training Epoch: 20 [37376/46250]	Loss: 0.2474	LR: 0.000800
Training Epoch: 20 [37632/46250]	Loss: 0.2870	LR: 0.000800
Training Epoch: 20 [37888/46250]	Loss: 0.2755	LR: 0.000800
Training Epoch: 20 [38144/46250]	Loss: 0.3161	LR: 0.000800
Training Epoch: 20 [38400/46250]	Loss: 0.2337	LR: 0.000800
Training Epoch: 20 [38656/46250]	Loss: 0.2448	LR: 0.000800
Training Epoch: 20 [38912/46250]	Loss: 0.2487	LR: 0.000800
Training Epoch: 20 [39168/46250]	Loss: 0.3257	LR: 0.000800
Training Epoch: 20 [39424/46250]	Loss: 0.2236	LR: 0.000800
Training Epoch: 20 [39680/46250]	Loss: 0.3756	LR: 0.000800
Training Epoch: 20 [39936/46250]	Loss: 0.3684	LR: 0.000800
Training Epoch: 20 [40192/46250]	Loss: 0.3307	LR: 0.000800
Training Epoch: 20 [40448/46250]	Loss: 0.3138	LR: 0.000800
Training Epoch: 20 [40704/46250]	Loss: 0.2642	LR: 0.000800
Training Epoch: 20 [40960/46250]	Loss: 0.2637	LR: 0.000800
Training Epoch: 20 [41216/46250]	Loss: 0.3274	LR: 0.000800
Training Epoch: 20 [41472/46250]	Loss: 0.2381	LR: 0.000800
Training Epoch: 20 [41728/46250]	Loss: 0.3281	LR: 0.000800
Training Epoch: 20 [41984/46250]	Loss: 0.2438	LR: 0.000800
Training Epoch: 20 [42240/46250]	Loss: 0.2380	LR: 0.000800
Training Epoch: 20 [42496/46250]	Loss: 0.2275	LR: 0.000800
Training Epoch: 20 [42752/46250]	Loss: 0.3032	LR: 0.000800
Training Epoch: 20 [43008/46250]	Loss: 0.2332	LR: 0.000800
Training Epoch: 20 [43264/46250]	Loss: 0.2530	LR: 0.000800
Training Epoch: 20 [43520/46250]	Loss: 0.2890	LR: 0.000800
Training Epoch: 20 [43776/46250]	Loss: 0.2209	LR: 0.000800
Training Epoch: 20 [44032/46250]	Loss: 0.2420	LR: 0.000800
Training Epoch: 20 [44288/46250]	Loss: 0.2837	LR: 0.000800
Training Epoch: 20 [44544/46250]	Loss: 0.2474	LR: 0.000800
Training Epoch: 20 [44800/46250]	Loss: 0.2715	LR: 0.000800
Training Epoch: 20 [45056/46250]	Loss: 0.2731	LR: 0.000800
Training Epoch: 20 [45312/46250]	Loss: 0.2543	LR: 0.000800
Training Epoch: 20 [45568/46250]	Loss: 0.2738	LR: 0.000800
Training Epoch: 20 [45824/46250]	Loss: 0.3261	LR: 0.000800
Training Epoch: 20 [46080/46250]	Loss: 0.2129	LR: 0.000800
Training Epoch: 20 [46250/46250]	Loss: 0.1970	LR: 0.000800
Epoch 20 - Average Train Loss: 0.2686, Train Accuracy: 0.9050
Epoch 20 training time consumed: 27.65s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0013, Accuracy: 0.8890, Time consumed:0.86s
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
Set1 Distribution: 3750 samples
Set2 Distribution: 3750 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Test Accuracy: 88.8671875
Retain Accuracy: 91.01760864257812
Zero-Retain Forget (ZRF): 0.8343865275382996
Membership Inference Attack (MIA): 0.6090666666666666
Forget vs Retain Membership Inference Attack (MIA): 0.5073333333333333
Forget vs Test Membership Inference Attack (MIA): 0.532
Test vs Retain Membership Inference Attack (MIA): 0.505
Train vs Test Membership Inference Attack (MIA): 0.51625
Forget Set Accuracy (Df): 86.54492950439453
Method Execution Time: 1523.54 seconds
