hello
hello
Labels

📌S Retain class distribution for seed 9:
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

📌S Forget class distribution for seed 9:
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
780909900

📊 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: 2.4894	LR: 0.000000
Training Epoch: 1 [512/46250]	Loss: 2.5614	LR: 0.000552
Training Epoch: 1 [768/46250]	Loss: 2.5066	LR: 0.001105
Training Epoch: 1 [1024/46250]	Loss: 2.3748	LR: 0.001657
Training Epoch: 1 [1280/46250]	Loss: 2.3521	LR: 0.002210
Training Epoch: 1 [1536/46250]	Loss: 2.3138	LR: 0.002762
Training Epoch: 1 [1792/46250]	Loss: 2.2692	LR: 0.003315
Training Epoch: 1 [2048/46250]	Loss: 2.2360	LR: 0.003867
Training Epoch: 1 [2304/46250]	Loss: 2.2660	LR: 0.004420
Training Epoch: 1 [2560/46250]	Loss: 2.3535	LR: 0.004972
Training Epoch: 1 [2816/46250]	Loss: 2.2344	LR: 0.005525
Training Epoch: 1 [3072/46250]	Loss: 2.1407	LR: 0.006077
Training Epoch: 1 [3328/46250]	Loss: 2.1236	LR: 0.006630
Training Epoch: 1 [3584/46250]	Loss: 2.1102	LR: 0.007182
Training Epoch: 1 [3840/46250]	Loss: 2.0369	LR: 0.007735
Training Epoch: 1 [4096/46250]	Loss: 1.9626	LR: 0.008287
Training Epoch: 1 [4352/46250]	Loss: 2.1165	LR: 0.008840
Training Epoch: 1 [4608/46250]	Loss: 2.0259	LR: 0.009392
Training Epoch: 1 [4864/46250]	Loss: 1.7461	LR: 0.009945
Training Epoch: 1 [5120/46250]	Loss: 1.8852	LR: 0.010497
Training Epoch: 1 [5376/46250]	Loss: 1.9728	LR: 0.011050
Training Epoch: 1 [5632/46250]	Loss: 1.8720	LR: 0.011602
Training Epoch: 1 [5888/46250]	Loss: 1.8872	LR: 0.012155
Training Epoch: 1 [6144/46250]	Loss: 1.7552	LR: 0.012707
Training Epoch: 1 [6400/46250]	Loss: 1.7870	LR: 0.013260
Training Epoch: 1 [6656/46250]	Loss: 1.7643	LR: 0.013812
Training Epoch: 1 [6912/46250]	Loss: 1.6764	LR: 0.014365
Training Epoch: 1 [7168/46250]	Loss: 1.7998	LR: 0.014917
Training Epoch: 1 [7424/46250]	Loss: 1.6677	LR: 0.015470
Training Epoch: 1 [7680/46250]	Loss: 1.6389	LR: 0.016022
Training Epoch: 1 [7936/46250]	Loss: 1.7040	LR: 0.016575
Training Epoch: 1 [8192/46250]	Loss: 1.7561	LR: 0.017127
Training Epoch: 1 [8448/46250]	Loss: 1.6603	LR: 0.017680
Training Epoch: 1 [8704/46250]	Loss: 1.6983	LR: 0.018232
Training Epoch: 1 [8960/46250]	Loss: 1.5817	LR: 0.018785
Training Epoch: 1 [9216/46250]	Loss: 1.6919	LR: 0.019337
Training Epoch: 1 [9472/46250]	Loss: 1.7742	LR: 0.019890
Training Epoch: 1 [9728/46250]	Loss: 1.6047	LR: 0.020442
Training Epoch: 1 [9984/46250]	Loss: 1.5853	LR: 0.020994
Training Epoch: 1 [10240/46250]	Loss: 1.7115	LR: 0.021547
Training Epoch: 1 [10496/46250]	Loss: 1.7478	LR: 0.022099
Training Epoch: 1 [10752/46250]	Loss: 1.6863	LR: 0.022652
Training Epoch: 1 [11008/46250]	Loss: 1.7098	LR: 0.023204
Training Epoch: 1 [11264/46250]	Loss: 1.5760	LR: 0.023757
Training Epoch: 1 [11520/46250]	Loss: 1.6821	LR: 0.024309
Training Epoch: 1 [11776/46250]	Loss: 1.7062	LR: 0.024862
Training Epoch: 1 [12032/46250]	Loss: 1.6670	LR: 0.025414
Training Epoch: 1 [12288/46250]	Loss: 1.4424	LR: 0.025967
Training Epoch: 1 [12544/46250]	Loss: 1.7658	LR: 0.026519
Training Epoch: 1 [12800/46250]	Loss: 1.7455	LR: 0.027072
Training Epoch: 1 [13056/46250]	Loss: 1.6013	LR: 0.027624
Training Epoch: 1 [13312/46250]	Loss: 1.5934	LR: 0.028177
Training Epoch: 1 [13568/46250]	Loss: 1.7145	LR: 0.028729
Training Epoch: 1 [13824/46250]	Loss: 1.5993	LR: 0.029282
Training Epoch: 1 [14080/46250]	Loss: 1.7148	LR: 0.029834
Training Epoch: 1 [14336/46250]	Loss: 1.5860	LR: 0.030387
Training Epoch: 1 [14592/46250]	Loss: 1.5014	LR: 0.030939
Training Epoch: 1 [14848/46250]	Loss: 1.6492	LR: 0.031492
Training Epoch: 1 [15104/46250]	Loss: 1.6166	LR: 0.032044
Training Epoch: 1 [15360/46250]	Loss: 1.5418	LR: 0.032597
Training Epoch: 1 [15616/46250]	Loss: 1.5577	LR: 0.033149
Training Epoch: 1 [15872/46250]	Loss: 1.5750	LR: 0.033702
Training Epoch: 1 [16128/46250]	Loss: 1.5413	LR: 0.034254
Training Epoch: 1 [16384/46250]	Loss: 1.5254	LR: 0.034807
Training Epoch: 1 [16640/46250]	Loss: 1.4173	LR: 0.035359
Training Epoch: 1 [16896/46250]	Loss: 1.5433	LR: 0.035912
Training Epoch: 1 [17152/46250]	Loss: 1.4476	LR: 0.036464
Training Epoch: 1 [17408/46250]	Loss: 1.4410	LR: 0.037017
Training Epoch: 1 [17664/46250]	Loss: 1.5606	LR: 0.037569
Training Epoch: 1 [17920/46250]	Loss: 1.4408	LR: 0.038122
Training Epoch: 1 [18176/46250]	Loss: 1.4719	LR: 0.038674
Training Epoch: 1 [18432/46250]	Loss: 1.5559	LR: 0.039227
Training Epoch: 1 [18688/46250]	Loss: 1.5345	LR: 0.039779
Training Epoch: 1 [18944/46250]	Loss: 1.5435	LR: 0.040331
Training Epoch: 1 [19200/46250]	Loss: 1.5570	LR: 0.040884
Training Epoch: 1 [19456/46250]	Loss: 1.4139	LR: 0.041436
Training Epoch: 1 [19712/46250]	Loss: 1.4105	LR: 0.041989
Training Epoch: 1 [19968/46250]	Loss: 1.5947	LR: 0.042541
Training Epoch: 1 [20224/46250]	Loss: 1.3923	LR: 0.043094
Training Epoch: 1 [20480/46250]	Loss: 1.4318	LR: 0.043646
Training Epoch: 1 [20736/46250]	Loss: 1.5172	LR: 0.044199
Training Epoch: 1 [20992/46250]	Loss: 1.4330	LR: 0.044751
Training Epoch: 1 [21248/46250]	Loss: 1.5441	LR: 0.045304
Training Epoch: 1 [21504/46250]	Loss: 1.5287	LR: 0.045856
Training Epoch: 1 [21760/46250]	Loss: 1.4270	LR: 0.046409
Training Epoch: 1 [22016/46250]	Loss: 1.4774	LR: 0.046961
Training Epoch: 1 [22272/46250]	Loss: 1.6692	LR: 0.047514
Training Epoch: 1 [22528/46250]	Loss: 1.3391	LR: 0.048066
Training Epoch: 1 [22784/46250]	Loss: 1.5859	LR: 0.048619
Training Epoch: 1 [23040/46250]	Loss: 1.6204	LR: 0.049171
Training Epoch: 1 [23296/46250]	Loss: 1.4451	LR: 0.049724
Training Epoch: 1 [23552/46250]	Loss: 1.6020	LR: 0.050276
Training Epoch: 1 [23808/46250]	Loss: 1.4223	LR: 0.050829
Training Epoch: 1 [24064/46250]	Loss: 1.5724	LR: 0.051381
Training Epoch: 1 [24320/46250]	Loss: 1.6009	LR: 0.051934
Training Epoch: 1 [24576/46250]	Loss: 1.4410	LR: 0.052486
Training Epoch: 1 [24832/46250]	Loss: 1.6253	LR: 0.053039
Training Epoch: 1 [25088/46250]	Loss: 1.4387	LR: 0.053591
Training Epoch: 1 [25344/46250]	Loss: 1.7993	LR: 0.054144
Training Epoch: 1 [25600/46250]	Loss: 1.7786	LR: 0.054696
Training Epoch: 1 [25856/46250]	Loss: 1.4535	LR: 0.055249
Training Epoch: 1 [26112/46250]	Loss: 1.6244	LR: 0.055801
Training Epoch: 1 [26368/46250]	Loss: 1.3800	LR: 0.056354
Training Epoch: 1 [26624/46250]	Loss: 1.7337	LR: 0.056906
Training Epoch: 1 [26880/46250]	Loss: 1.4573	LR: 0.057459
Training Epoch: 1 [27136/46250]	Loss: 1.4214	LR: 0.058011
Training Epoch: 1 [27392/46250]	Loss: 1.3445	LR: 0.058564
Training Epoch: 1 [27648/46250]	Loss: 1.7054	LR: 0.059116
Training Epoch: 1 [27904/46250]	Loss: 1.3349	LR: 0.059669
Training Epoch: 1 [28160/46250]	Loss: 1.4817	LR: 0.060221
Training Epoch: 1 [28416/46250]	Loss: 1.4614	LR: 0.060773
Training Epoch: 1 [28672/46250]	Loss: 1.3663	LR: 0.061326
Training Epoch: 1 [28928/46250]	Loss: 1.4767	LR: 0.061878
Training Epoch: 1 [29184/46250]	Loss: 1.3914	LR: 0.062431
Training Epoch: 1 [29440/46250]	Loss: 1.4272	LR: 0.062983
Training Epoch: 1 [29696/46250]	Loss: 1.2818	LR: 0.063536
Training Epoch: 1 [29952/46250]	Loss: 1.4206	LR: 0.064088
Training Epoch: 1 [30208/46250]	Loss: 1.3456	LR: 0.064641
Training Epoch: 1 [30464/46250]	Loss: 1.5514	LR: 0.065193
Training Epoch: 1 [30720/46250]	Loss: 1.6458	LR: 0.065746
Training Epoch: 1 [30976/46250]	Loss: 1.3280	LR: 0.066298
Training Epoch: 1 [31232/46250]	Loss: 1.4536	LR: 0.066851
Training Epoch: 1 [31488/46250]	Loss: 1.3795	LR: 0.067403
Training Epoch: 1 [31744/46250]	Loss: 1.3493	LR: 0.067956
Training Epoch: 1 [32000/46250]	Loss: 1.2076	LR: 0.068508
Training Epoch: 1 [32256/46250]	Loss: 1.5497	LR: 0.069061
Training Epoch: 1 [32512/46250]	Loss: 1.2582	LR: 0.069613
Training Epoch: 1 [32768/46250]	Loss: 1.3263	LR: 0.070166
Training Epoch: 1 [33024/46250]	Loss: 1.3469	LR: 0.070718
Training Epoch: 1 [33280/46250]	Loss: 1.5187	LR: 0.071271
Training Epoch: 1 [33536/46250]	Loss: 1.1893	LR: 0.071823
Training Epoch: 1 [33792/46250]	Loss: 1.2870	LR: 0.072376
Training Epoch: 1 [34048/46250]	Loss: 1.2690	LR: 0.072928
Training Epoch: 1 [34304/46250]	Loss: 1.1804	LR: 0.073481
Training Epoch: 1 [34560/46250]	Loss: 1.2197	LR: 0.074033
Training Epoch: 1 [34816/46250]	Loss: 1.2758	LR: 0.074586
Training Epoch: 1 [35072/46250]	Loss: 1.1647	LR: 0.075138
Training Epoch: 1 [35328/46250]	Loss: 1.2441	LR: 0.075691
Training Epoch: 1 [35584/46250]	Loss: 1.2670	LR: 0.076243
Training Epoch: 1 [35840/46250]	Loss: 1.1854	LR: 0.076796
Training Epoch: 1 [36096/46250]	Loss: 1.3020	LR: 0.077348
Training Epoch: 1 [36352/46250]	Loss: 1.3708	LR: 0.077901
Training Epoch: 1 [36608/46250]	Loss: 1.2229	LR: 0.078453
Training Epoch: 1 [36864/46250]	Loss: 1.3257	LR: 0.079006
Training Epoch: 1 [37120/46250]	Loss: 1.1943	LR: 0.079558
Training Epoch: 1 [37376/46250]	Loss: 1.2556	LR: 0.080110
Training Epoch: 1 [37632/46250]	Loss: 1.1655	LR: 0.080663
Training Epoch: 1 [37888/46250]	Loss: 1.1570	LR: 0.081215
Training Epoch: 1 [38144/46250]	Loss: 1.0423	LR: 0.081768
Training Epoch: 1 [38400/46250]	Loss: 1.0428	LR: 0.082320
Training Epoch: 1 [38656/46250]	Loss: 1.0989	LR: 0.082873
Training Epoch: 1 [38912/46250]	Loss: 1.2028	LR: 0.083425
Training Epoch: 1 [39168/46250]	Loss: 1.1871	LR: 0.083978
Training Epoch: 1 [39424/46250]	Loss: 1.1755	LR: 0.084530
Training Epoch: 1 [39680/46250]	Loss: 1.1937	LR: 0.085083
Training Epoch: 1 [39936/46250]	Loss: 1.4079	LR: 0.085635
Training Epoch: 1 [40192/46250]	Loss: 1.1563	LR: 0.086188
Training Epoch: 1 [40448/46250]	Loss: 1.4615	LR: 0.086740
Training Epoch: 1 [40704/46250]	Loss: 1.1008	LR: 0.087293
Training Epoch: 1 [40960/46250]	Loss: 1.2427	LR: 0.087845
Training Epoch: 1 [41216/46250]	Loss: 1.1701	LR: 0.088398
Training Epoch: 1 [41472/46250]	Loss: 1.3470	LR: 0.088950
Training Epoch: 1 [41728/46250]	Loss: 1.2221	LR: 0.089503
Training Epoch: 1 [41984/46250]	Loss: 1.2705	LR: 0.090055
Training Epoch: 1 [42240/46250]	Loss: 1.1891	LR: 0.090608
Training Epoch: 1 [42496/46250]	Loss: 1.1996	LR: 0.091160
Training Epoch: 1 [42752/46250]	Loss: 1.2774	LR: 0.091713
Training Epoch: 1 [43008/46250]	Loss: 1.2041	LR: 0.092265
Training Epoch: 1 [43264/46250]	Loss: 1.1871	LR: 0.092818
Training Epoch: 1 [43520/46250]	Loss: 1.1978	LR: 0.093370
Training Epoch: 1 [43776/46250]	Loss: 1.2907	LR: 0.093923
Training Epoch: 1 [44032/46250]	Loss: 1.0714	LR: 0.094475
Training Epoch: 1 [44288/46250]	Loss: 1.1088	LR: 0.095028
Training Epoch: 1 [44544/46250]	Loss: 1.0751	LR: 0.095580
Training Epoch: 1 [44800/46250]	Loss: 1.1492	LR: 0.096133
Training Epoch: 1 [45056/46250]	Loss: 1.1082	LR: 0.096685
Training Epoch: 1 [45312/46250]	Loss: 1.1974	LR: 0.097238
Training Epoch: 1 [45568/46250]	Loss: 1.2371	LR: 0.097790
Training Epoch: 1 [45824/46250]	Loss: 1.2126	LR: 0.098343
Training Epoch: 1 [46080/46250]	Loss: 1.1493	LR: 0.098895
Training Epoch: 1 [46250/46250]	Loss: 1.1917	LR: 0.099448
Epoch 1 - Average Train Loss: 1.5312, Train Accuracy: 0.4443
Epoch 1 training time consumed: 18.39s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0099, Accuracy: 0.4194, Time consumed:0.99s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_13h_32m_15s/ResNet18-Cifar10-seed9-ret25-1-best.pth
Training Epoch: 2 [256/46250]	Loss: 1.2614	LR: 0.020000
Training Epoch: 2 [512/46250]	Loss: 1.0417	LR: 0.020000
Training Epoch: 2 [768/46250]	Loss: 1.1153	LR: 0.020000
Training Epoch: 2 [1024/46250]	Loss: 1.0344	LR: 0.020000
Training Epoch: 2 [1280/46250]	Loss: 1.0865	LR: 0.020000
Training Epoch: 2 [1536/46250]	Loss: 1.0727	LR: 0.020000
Training Epoch: 2 [1792/46250]	Loss: 0.8626	LR: 0.020000
Training Epoch: 2 [2048/46250]	Loss: 0.9410	LR: 0.020000
Training Epoch: 2 [2304/46250]	Loss: 0.8964	LR: 0.020000
Training Epoch: 2 [2560/46250]	Loss: 0.9426	LR: 0.020000
Training Epoch: 2 [2816/46250]	Loss: 0.8884	LR: 0.020000
Training Epoch: 2 [3072/46250]	Loss: 0.8988	LR: 0.020000
Training Epoch: 2 [3328/46250]	Loss: 0.9249	LR: 0.020000
Training Epoch: 2 [3584/46250]	Loss: 1.0002	LR: 0.020000
Training Epoch: 2 [3840/46250]	Loss: 0.9079	LR: 0.020000
Training Epoch: 2 [4096/46250]	Loss: 0.9484	LR: 0.020000
Training Epoch: 2 [4352/46250]	Loss: 0.7917	LR: 0.020000
Training Epoch: 2 [4608/46250]	Loss: 0.8459	LR: 0.020000
Training Epoch: 2 [4864/46250]	Loss: 0.8828	LR: 0.020000
Training Epoch: 2 [5120/46250]	Loss: 0.7653	LR: 0.020000
Training Epoch: 2 [5376/46250]	Loss: 0.9058	LR: 0.020000
Training Epoch: 2 [5632/46250]	Loss: 0.9213	LR: 0.020000
Training Epoch: 2 [5888/46250]	Loss: 0.9053	LR: 0.020000
Training Epoch: 2 [6144/46250]	Loss: 0.8089	LR: 0.020000
Training Epoch: 2 [6400/46250]	Loss: 0.7445	LR: 0.020000
Training Epoch: 2 [6656/46250]	Loss: 0.7145	LR: 0.020000
Training Epoch: 2 [6912/46250]	Loss: 0.8235	LR: 0.020000
Training Epoch: 2 [7168/46250]	Loss: 0.8455	LR: 0.020000
Training Epoch: 2 [7424/46250]	Loss: 0.8949	LR: 0.020000
Training Epoch: 2 [7680/46250]	Loss: 0.7573	LR: 0.020000
Training Epoch: 2 [7936/46250]	Loss: 0.8011	LR: 0.020000
Training Epoch: 2 [8192/46250]	Loss: 0.8202	LR: 0.020000
Training Epoch: 2 [8448/46250]	Loss: 0.8201	LR: 0.020000
Training Epoch: 2 [8704/46250]	Loss: 0.8373	LR: 0.020000
Training Epoch: 2 [8960/46250]	Loss: 0.7725	LR: 0.020000
Training Epoch: 2 [9216/46250]	Loss: 0.7929	LR: 0.020000
Training Epoch: 2 [9472/46250]	Loss: 0.8042	LR: 0.020000
Training Epoch: 2 [9728/46250]	Loss: 0.7702	LR: 0.020000
Training Epoch: 2 [9984/46250]	Loss: 0.9458	LR: 0.020000
Training Epoch: 2 [10240/46250]	Loss: 0.8223	LR: 0.020000
Training Epoch: 2 [10496/46250]	Loss: 0.8605	LR: 0.020000
Training Epoch: 2 [10752/46250]	Loss: 0.8540	LR: 0.020000
Training Epoch: 2 [11008/46250]	Loss: 0.8747	LR: 0.020000
Training Epoch: 2 [11264/46250]	Loss: 0.7941	LR: 0.020000
Training Epoch: 2 [11520/46250]	Loss: 0.8829	LR: 0.020000
Training Epoch: 2 [11776/46250]	Loss: 0.8091	LR: 0.020000
Training Epoch: 2 [12032/46250]	Loss: 0.7661	LR: 0.020000
Training Epoch: 2 [12288/46250]	Loss: 0.7962	LR: 0.020000
Training Epoch: 2 [12544/46250]	Loss: 0.7684	LR: 0.020000
Training Epoch: 2 [12800/46250]	Loss: 0.7724	LR: 0.020000
Training Epoch: 2 [13056/46250]	Loss: 0.7969	LR: 0.020000
Training Epoch: 2 [13312/46250]	Loss: 0.7375	LR: 0.020000
Training Epoch: 2 [13568/46250]	Loss: 0.7827	LR: 0.020000
Training Epoch: 2 [13824/46250]	Loss: 0.7368	LR: 0.020000
Training Epoch: 2 [14080/46250]	Loss: 0.7212	LR: 0.020000
Training Epoch: 2 [14336/46250]	Loss: 0.7906	LR: 0.020000
Training Epoch: 2 [14592/46250]	Loss: 0.8716	LR: 0.020000
Training Epoch: 2 [14848/46250]	Loss: 0.7869	LR: 0.020000
Training Epoch: 2 [15104/46250]	Loss: 0.7509	LR: 0.020000
Training Epoch: 2 [15360/46250]	Loss: 0.7750	LR: 0.020000
Training Epoch: 2 [15616/46250]	Loss: 0.7771	LR: 0.020000
Training Epoch: 2 [15872/46250]	Loss: 0.8762	LR: 0.020000
Training Epoch: 2 [16128/46250]	Loss: 0.7426	LR: 0.020000
Training Epoch: 2 [16384/46250]	Loss: 0.8168	LR: 0.020000
Training Epoch: 2 [16640/46250]	Loss: 0.6276	LR: 0.020000
Training Epoch: 2 [16896/46250]	Loss: 0.6755	LR: 0.020000
Training Epoch: 2 [17152/46250]	Loss: 0.8428	LR: 0.020000
Training Epoch: 2 [17408/46250]	Loss: 0.6771	LR: 0.020000
Training Epoch: 2 [17664/46250]	Loss: 0.7334	LR: 0.020000
Training Epoch: 2 [17920/46250]	Loss: 0.8544	LR: 0.020000
Training Epoch: 2 [18176/46250]	Loss: 0.8438	LR: 0.020000
Training Epoch: 2 [18432/46250]	Loss: 0.6580	LR: 0.020000
Training Epoch: 2 [18688/46250]	Loss: 0.7211	LR: 0.020000
Training Epoch: 2 [18944/46250]	Loss: 0.7741	LR: 0.020000
Training Epoch: 2 [19200/46250]	Loss: 0.7087	LR: 0.020000
Training Epoch: 2 [19456/46250]	Loss: 0.8393	LR: 0.020000
Training Epoch: 2 [19712/46250]	Loss: 0.9067	LR: 0.020000
Training Epoch: 2 [19968/46250]	Loss: 0.7631	LR: 0.020000
Training Epoch: 2 [20224/46250]	Loss: 0.6426	LR: 0.020000
Training Epoch: 2 [20480/46250]	Loss: 0.7359	LR: 0.020000
Training Epoch: 2 [20736/46250]	Loss: 0.6724	LR: 0.020000
Training Epoch: 2 [20992/46250]	Loss: 0.9059	LR: 0.020000
Training Epoch: 2 [21248/46250]	Loss: 0.7228	LR: 0.020000
Training Epoch: 2 [21504/46250]	Loss: 0.8199	LR: 0.020000
Training Epoch: 2 [21760/46250]	Loss: 0.7812	LR: 0.020000
Training Epoch: 2 [22016/46250]	Loss: 0.8068	LR: 0.020000
Training Epoch: 2 [22272/46250]	Loss: 0.9219	LR: 0.020000
Training Epoch: 2 [22528/46250]	Loss: 0.8596	LR: 0.020000
Training Epoch: 2 [22784/46250]	Loss: 0.9353	LR: 0.020000
Training Epoch: 2 [23040/46250]	Loss: 0.6268	LR: 0.020000
Training Epoch: 2 [23296/46250]	Loss: 0.7709	LR: 0.020000
Training Epoch: 2 [23552/46250]	Loss: 0.8161	LR: 0.020000
Training Epoch: 2 [23808/46250]	Loss: 0.6886	LR: 0.020000
Training Epoch: 2 [24064/46250]	Loss: 0.7306	LR: 0.020000
Training Epoch: 2 [24320/46250]	Loss: 0.8492	LR: 0.020000
Training Epoch: 2 [24576/46250]	Loss: 0.7215	LR: 0.020000
Training Epoch: 2 [24832/46250]	Loss: 0.7173	LR: 0.020000
Training Epoch: 2 [25088/46250]	Loss: 0.7825	LR: 0.020000
Training Epoch: 2 [25344/46250]	Loss: 0.6811	LR: 0.020000
Training Epoch: 2 [25600/46250]	Loss: 0.6521	LR: 0.020000
Training Epoch: 2 [25856/46250]	Loss: 0.6820	LR: 0.020000
Training Epoch: 2 [26112/46250]	Loss: 0.7021	LR: 0.020000
Training Epoch: 2 [26368/46250]	Loss: 0.8180	LR: 0.020000
Training Epoch: 2 [26624/46250]	Loss: 0.8132	LR: 0.020000
Training Epoch: 2 [26880/46250]	Loss: 0.7872	LR: 0.020000
Training Epoch: 2 [27136/46250]	Loss: 0.8246	LR: 0.020000
Training Epoch: 2 [27392/46250]	Loss: 0.8095	LR: 0.020000
Training Epoch: 2 [27648/46250]	Loss: 0.6938	LR: 0.020000
Training Epoch: 2 [27904/46250]	Loss: 0.8301	LR: 0.020000
Training Epoch: 2 [28160/46250]	Loss: 0.7178	LR: 0.020000
Training Epoch: 2 [28416/46250]	Loss: 0.8437	LR: 0.020000
Training Epoch: 2 [28672/46250]	Loss: 0.5762	LR: 0.020000
Training Epoch: 2 [28928/46250]	Loss: 0.8260	LR: 0.020000
Training Epoch: 2 [29184/46250]	Loss: 0.8600	LR: 0.020000
Training Epoch: 2 [29440/46250]	Loss: 0.8636	LR: 0.020000
Training Epoch: 2 [29696/46250]	Loss: 0.6438	LR: 0.020000
Training Epoch: 2 [29952/46250]	Loss: 0.6386	LR: 0.020000
Training Epoch: 2 [30208/46250]	Loss: 0.7829	LR: 0.020000
Training Epoch: 2 [30464/46250]	Loss: 0.7783	LR: 0.020000
Training Epoch: 2 [30720/46250]	Loss: 0.7118	LR: 0.020000
Training Epoch: 2 [30976/46250]	Loss: 0.6400	LR: 0.020000
Training Epoch: 2 [31232/46250]	Loss: 0.7881	LR: 0.020000
Training Epoch: 2 [31488/46250]	Loss: 0.7479	LR: 0.020000
Training Epoch: 2 [31744/46250]	Loss: 0.7552	LR: 0.020000
Training Epoch: 2 [32000/46250]	Loss: 0.7761	LR: 0.020000
Training Epoch: 2 [32256/46250]	Loss: 0.6643	LR: 0.020000
Training Epoch: 2 [32512/46250]	Loss: 0.7119	LR: 0.020000
Training Epoch: 2 [32768/46250]	Loss: 0.6952	LR: 0.020000
Training Epoch: 2 [33024/46250]	Loss: 0.6697	LR: 0.020000
Training Epoch: 2 [33280/46250]	Loss: 0.6937	LR: 0.020000
Training Epoch: 2 [33536/46250]	Loss: 0.7074	LR: 0.020000
Training Epoch: 2 [33792/46250]	Loss: 0.6524	LR: 0.020000
Training Epoch: 2 [34048/46250]	Loss: 0.7524	LR: 0.020000
Training Epoch: 2 [34304/46250]	Loss: 0.6252	LR: 0.020000
Training Epoch: 2 [34560/46250]	Loss: 0.7379	LR: 0.020000
Training Epoch: 2 [34816/46250]	Loss: 0.7678	LR: 0.020000
Training Epoch: 2 [35072/46250]	Loss: 0.6744	LR: 0.020000
Training Epoch: 2 [35328/46250]	Loss: 0.6754	LR: 0.020000
Training Epoch: 2 [35584/46250]	Loss: 0.7602	LR: 0.020000
Training Epoch: 2 [35840/46250]	Loss: 0.8147	LR: 0.020000
Training Epoch: 2 [36096/46250]	Loss: 0.6786	LR: 0.020000
Training Epoch: 2 [36352/46250]	Loss: 0.6750	LR: 0.020000
Training Epoch: 2 [36608/46250]	Loss: 0.7409	LR: 0.020000
Training Epoch: 2 [36864/46250]	Loss: 0.7836	LR: 0.020000
Training Epoch: 2 [37120/46250]	Loss: 0.7026	LR: 0.020000
Training Epoch: 2 [37376/46250]	Loss: 0.8302	LR: 0.020000
Training Epoch: 2 [37632/46250]	Loss: 0.6732	LR: 0.020000
Training Epoch: 2 [37888/46250]	Loss: 0.6693	LR: 0.020000
Training Epoch: 2 [38144/46250]	Loss: 0.6911	LR: 0.020000
Training Epoch: 2 [38400/46250]	Loss: 0.6947	LR: 0.020000
Training Epoch: 2 [38656/46250]	Loss: 0.7479	LR: 0.020000
Training Epoch: 2 [38912/46250]	Loss: 0.7953	LR: 0.020000
Training Epoch: 2 [39168/46250]	Loss: 0.6926	LR: 0.020000
Training Epoch: 2 [39424/46250]	Loss: 0.6425	LR: 0.020000
Training Epoch: 2 [39680/46250]	Loss: 0.8293	LR: 0.020000
Training Epoch: 2 [39936/46250]	Loss: 0.6751	LR: 0.020000
Training Epoch: 2 [40192/46250]	Loss: 0.7065	LR: 0.020000
Training Epoch: 2 [40448/46250]	Loss: 0.6098	LR: 0.020000
Training Epoch: 2 [40704/46250]	Loss: 0.6536	LR: 0.020000
Training Epoch: 2 [40960/46250]	Loss: 0.6967	LR: 0.020000
Training Epoch: 2 [41216/46250]	Loss: 0.7231	LR: 0.020000
Training Epoch: 2 [41472/46250]	Loss: 0.7077	LR: 0.020000
Training Epoch: 2 [41728/46250]	Loss: 0.6961	LR: 0.020000
Training Epoch: 2 [41984/46250]	Loss: 0.7052	LR: 0.020000
Training Epoch: 2 [42240/46250]	Loss: 0.6621	LR: 0.020000
Training Epoch: 2 [42496/46250]	Loss: 0.7314	LR: 0.020000
Training Epoch: 2 [42752/46250]	Loss: 0.7297	LR: 0.020000
Training Epoch: 2 [43008/46250]	Loss: 0.7649	LR: 0.020000
Training Epoch: 2 [43264/46250]	Loss: 0.7199	LR: 0.020000
Training Epoch: 2 [43520/46250]	Loss: 0.6300	LR: 0.020000
Training Epoch: 2 [43776/46250]	Loss: 0.6214	LR: 0.020000
Training Epoch: 2 [44032/46250]	Loss: 0.5924	LR: 0.020000
Training Epoch: 2 [44288/46250]	Loss: 0.6272	LR: 0.020000
Training Epoch: 2 [44544/46250]	Loss: 0.7243	LR: 0.020000
Training Epoch: 2 [44800/46250]	Loss: 0.6909	LR: 0.020000
Training Epoch: 2 [45056/46250]	Loss: 0.7736	LR: 0.020000
Training Epoch: 2 [45312/46250]	Loss: 0.6430	LR: 0.020000
Training Epoch: 2 [45568/46250]	Loss: 0.5630	LR: 0.020000
Training Epoch: 2 [45824/46250]	Loss: 0.7963	LR: 0.020000
Training Epoch: 2 [46080/46250]	Loss: 0.7230	LR: 0.020000
Training Epoch: 2 [46250/46250]	Loss: 0.6959	LR: 0.020000
Epoch 2 - Average Train Loss: 0.7761, Train Accuracy: 0.7232
Epoch 2 training time consumed: 17.91s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0030, Accuracy: 0.7366, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_13h_32m_15s/ResNet18-Cifar10-seed9-ret25-2-best.pth
Training Epoch: 3 [256/46250]	Loss: 0.6227	LR: 0.020000
Training Epoch: 3 [512/46250]	Loss: 0.4639	LR: 0.020000
Training Epoch: 3 [768/46250]	Loss: 0.6871	LR: 0.020000
Training Epoch: 3 [1024/46250]	Loss: 0.4899	LR: 0.020000
Training Epoch: 3 [1280/46250]	Loss: 0.5478	LR: 0.020000
Training Epoch: 3 [1536/46250]	Loss: 0.6701	LR: 0.020000
Training Epoch: 3 [1792/46250]	Loss: 0.6097	LR: 0.020000
Training Epoch: 3 [2048/46250]	Loss: 0.5450	LR: 0.020000
Training Epoch: 3 [2304/46250]	Loss: 0.6867	LR: 0.020000
Training Epoch: 3 [2560/46250]	Loss: 0.5288	LR: 0.020000
Training Epoch: 3 [2816/46250]	Loss: 0.6460	LR: 0.020000
Training Epoch: 3 [3072/46250]	Loss: 0.5796	LR: 0.020000
Training Epoch: 3 [3328/46250]	Loss: 0.5377	LR: 0.020000
Training Epoch: 3 [3584/46250]	Loss: 0.6500	LR: 0.020000
Training Epoch: 3 [3840/46250]	Loss: 0.5113	LR: 0.020000
Training Epoch: 3 [4096/46250]	Loss: 0.6388	LR: 0.020000
Training Epoch: 3 [4352/46250]	Loss: 0.6286	LR: 0.020000
Training Epoch: 3 [4608/46250]	Loss: 0.5430	LR: 0.020000
Training Epoch: 3 [4864/46250]	Loss: 0.5545	LR: 0.020000
Training Epoch: 3 [5120/46250]	Loss: 0.4726	LR: 0.020000
Training Epoch: 3 [5376/46250]	Loss: 0.6761	LR: 0.020000
Training Epoch: 3 [5632/46250]	Loss: 0.5860	LR: 0.020000
Training Epoch: 3 [5888/46250]	Loss: 0.5874	LR: 0.020000
Training Epoch: 3 [6144/46250]	Loss: 0.5692	LR: 0.020000
Training Epoch: 3 [6400/46250]	Loss: 0.5927	LR: 0.020000
Training Epoch: 3 [6656/46250]	Loss: 0.5547	LR: 0.020000
Training Epoch: 3 [6912/46250]	Loss: 0.6772	LR: 0.020000
Training Epoch: 3 [7168/46250]	Loss: 0.5986	LR: 0.020000
Training Epoch: 3 [7424/46250]	Loss: 0.5460	LR: 0.020000
Training Epoch: 3 [7680/46250]	Loss: 0.5846	LR: 0.020000
Training Epoch: 3 [7936/46250]	Loss: 0.5094	LR: 0.020000
Training Epoch: 3 [8192/46250]	Loss: 0.4768	LR: 0.020000
Training Epoch: 3 [8448/46250]	Loss: 0.5902	LR: 0.020000
Training Epoch: 3 [8704/46250]	Loss: 0.6246	LR: 0.020000
Training Epoch: 3 [8960/46250]	Loss: 0.6148	LR: 0.020000
Training Epoch: 3 [9216/46250]	Loss: 0.5721	LR: 0.020000
Training Epoch: 3 [9472/46250]	Loss: 0.6056	LR: 0.020000
Training Epoch: 3 [9728/46250]	Loss: 0.6246	LR: 0.020000
Training Epoch: 3 [9984/46250]	Loss: 0.5362	LR: 0.020000
Training Epoch: 3 [10240/46250]	Loss: 0.6645	LR: 0.020000
Training Epoch: 3 [10496/46250]	Loss: 0.6426	LR: 0.020000
Training Epoch: 3 [10752/46250]	Loss: 0.5544	LR: 0.020000
Training Epoch: 3 [11008/46250]	Loss: 0.5264	LR: 0.020000
Training Epoch: 3 [11264/46250]	Loss: 0.5149	LR: 0.020000
Training Epoch: 3 [11520/46250]	Loss: 0.5630	LR: 0.020000
Training Epoch: 3 [11776/46250]	Loss: 0.6793	LR: 0.020000
Training Epoch: 3 [12032/46250]	Loss: 0.6509	LR: 0.020000
Training Epoch: 3 [12288/46250]	Loss: 0.7094	LR: 0.020000
Training Epoch: 3 [12544/46250]	Loss: 0.5469	LR: 0.020000
Training Epoch: 3 [12800/46250]	Loss: 0.5531	LR: 0.020000
Training Epoch: 3 [13056/46250]	Loss: 0.5889	LR: 0.020000
Training Epoch: 3 [13312/46250]	Loss: 0.5991	LR: 0.020000
Training Epoch: 3 [13568/46250]	Loss: 0.5152	LR: 0.020000
Training Epoch: 3 [13824/46250]	Loss: 0.5531	LR: 0.020000
Training Epoch: 3 [14080/46250]	Loss: 0.5584	LR: 0.020000
Training Epoch: 3 [14336/46250]	Loss: 0.5625	LR: 0.020000
Training Epoch: 3 [14592/46250]	Loss: 0.5901	LR: 0.020000
Training Epoch: 3 [14848/46250]	Loss: 0.6264	LR: 0.020000
Training Epoch: 3 [15104/46250]	Loss: 0.6063	LR: 0.020000
Training Epoch: 3 [15360/46250]	Loss: 0.5397	LR: 0.020000
Training Epoch: 3 [15616/46250]	Loss: 0.5849	LR: 0.020000
Training Epoch: 3 [15872/46250]	Loss: 0.6039	LR: 0.020000
Training Epoch: 3 [16128/46250]	Loss: 0.5630	LR: 0.020000
Training Epoch: 3 [16384/46250]	Loss: 0.5586	LR: 0.020000
Training Epoch: 3 [16640/46250]	Loss: 0.6258	LR: 0.020000
Training Epoch: 3 [16896/46250]	Loss: 0.6162	LR: 0.020000
Training Epoch: 3 [17152/46250]	Loss: 0.5279	LR: 0.020000
Training Epoch: 3 [17408/46250]	Loss: 0.6108	LR: 0.020000
Training Epoch: 3 [17664/46250]	Loss: 0.4771	LR: 0.020000
Training Epoch: 3 [17920/46250]	Loss: 0.5679	LR: 0.020000
Training Epoch: 3 [18176/46250]	Loss: 0.5507	LR: 0.020000
Training Epoch: 3 [18432/46250]	Loss: 0.4802	LR: 0.020000
Training Epoch: 3 [18688/46250]	Loss: 0.5440	LR: 0.020000
Training Epoch: 3 [18944/46250]	Loss: 0.6026	LR: 0.020000
Training Epoch: 3 [19200/46250]	Loss: 0.5386	LR: 0.020000
Training Epoch: 3 [19456/46250]	Loss: 0.5886	LR: 0.020000
Training Epoch: 3 [19712/46250]	Loss: 0.7020	LR: 0.020000
Training Epoch: 3 [19968/46250]	Loss: 0.6215	LR: 0.020000
Training Epoch: 3 [20224/46250]	Loss: 0.6887	LR: 0.020000
Training Epoch: 3 [20480/46250]	Loss: 0.5868	LR: 0.020000
Training Epoch: 3 [20736/46250]	Loss: 0.4884	LR: 0.020000
Training Epoch: 3 [20992/46250]	Loss: 0.4841	LR: 0.020000
Training Epoch: 3 [21248/46250]	Loss: 0.4989	LR: 0.020000
Training Epoch: 3 [21504/46250]	Loss: 0.5722	LR: 0.020000
Training Epoch: 3 [21760/46250]	Loss: 0.6585	LR: 0.020000
Training Epoch: 3 [22016/46250]	Loss: 0.5462	LR: 0.020000
Training Epoch: 3 [22272/46250]	Loss: 0.5114	LR: 0.020000
Training Epoch: 3 [22528/46250]	Loss: 0.6684	LR: 0.020000
Training Epoch: 3 [22784/46250]	Loss: 0.5604	LR: 0.020000
Training Epoch: 3 [23040/46250]	Loss: 0.5361	LR: 0.020000
Training Epoch: 3 [23296/46250]	Loss: 0.5848	LR: 0.020000
Training Epoch: 3 [23552/46250]	Loss: 0.5194	LR: 0.020000
Training Epoch: 3 [23808/46250]	Loss: 0.6217	LR: 0.020000
Training Epoch: 3 [24064/46250]	Loss: 0.6251	LR: 0.020000
Training Epoch: 3 [24320/46250]	Loss: 0.6150	LR: 0.020000
Training Epoch: 3 [24576/46250]	Loss: 0.5863	LR: 0.020000
Training Epoch: 3 [24832/46250]	Loss: 0.6068	LR: 0.020000
Training Epoch: 3 [25088/46250]	Loss: 0.6106	LR: 0.020000
Training Epoch: 3 [25344/46250]	Loss: 0.5227	LR: 0.020000
Training Epoch: 3 [25600/46250]	Loss: 0.5046	LR: 0.020000
Training Epoch: 3 [25856/46250]	Loss: 0.6113	LR: 0.020000
Training Epoch: 3 [26112/46250]	Loss: 0.5556	LR: 0.020000
Training Epoch: 3 [26368/46250]	Loss: 0.5917	LR: 0.020000
Training Epoch: 3 [26624/46250]	Loss: 0.5593	LR: 0.020000
Training Epoch: 3 [26880/46250]	Loss: 0.6770	LR: 0.020000
Training Epoch: 3 [27136/46250]	Loss: 0.5996	LR: 0.020000
Training Epoch: 3 [27392/46250]	Loss: 0.6767	LR: 0.020000
Training Epoch: 3 [27648/46250]	Loss: 0.5493	LR: 0.020000
Training Epoch: 3 [27904/46250]	Loss: 0.6520	LR: 0.020000
Training Epoch: 3 [28160/46250]	Loss: 0.5976	LR: 0.020000
Training Epoch: 3 [28416/46250]	Loss: 0.6902	LR: 0.020000
Training Epoch: 3 [28672/46250]	Loss: 0.5391	LR: 0.020000
Training Epoch: 3 [28928/46250]	Loss: 0.5046	LR: 0.020000
Training Epoch: 3 [29184/46250]	Loss: 0.5242	LR: 0.020000
Training Epoch: 3 [29440/46250]	Loss: 0.5924	LR: 0.020000
Training Epoch: 3 [29696/46250]	Loss: 0.6508	LR: 0.020000
Training Epoch: 3 [29952/46250]	Loss: 0.5729	LR: 0.020000
Training Epoch: 3 [30208/46250]	Loss: 0.4828	LR: 0.020000
Training Epoch: 3 [30464/46250]	Loss: 0.7521	LR: 0.020000
Training Epoch: 3 [30720/46250]	Loss: 0.5540	LR: 0.020000
Training Epoch: 3 [30976/46250]	Loss: 0.6356	LR: 0.020000
Training Epoch: 3 [31232/46250]	Loss: 0.5188	LR: 0.020000
Training Epoch: 3 [31488/46250]	Loss: 0.5135	LR: 0.020000
Training Epoch: 3 [31744/46250]	Loss: 0.7664	LR: 0.020000
Training Epoch: 3 [32000/46250]	Loss: 0.4875	LR: 0.020000
Training Epoch: 3 [32256/46250]	Loss: 0.5834	LR: 0.020000
Training Epoch: 3 [32512/46250]	Loss: 0.6551	LR: 0.020000
Training Epoch: 3 [32768/46250]	Loss: 0.5916	LR: 0.020000
Training Epoch: 3 [33024/46250]	Loss: 0.5938	LR: 0.020000
Training Epoch: 3 [33280/46250]	Loss: 0.6685	LR: 0.020000
Training Epoch: 3 [33536/46250]	Loss: 0.5895	LR: 0.020000
Training Epoch: 3 [33792/46250]	Loss: 0.6588	LR: 0.020000
Training Epoch: 3 [34048/46250]	Loss: 0.5577	LR: 0.020000
Training Epoch: 3 [34304/46250]	Loss: 0.4910	LR: 0.020000
Training Epoch: 3 [34560/46250]	Loss: 0.5673	LR: 0.020000
Training Epoch: 3 [34816/46250]	Loss: 0.5445	LR: 0.020000
Training Epoch: 3 [35072/46250]	Loss: 0.6614	LR: 0.020000
Training Epoch: 3 [35328/46250]	Loss: 0.5633	LR: 0.020000
Training Epoch: 3 [35584/46250]	Loss: 0.6297	LR: 0.020000
Training Epoch: 3 [35840/46250]	Loss: 0.5297	LR: 0.020000
Training Epoch: 3 [36096/46250]	Loss: 0.5719	LR: 0.020000
Training Epoch: 3 [36352/46250]	Loss: 0.4936	LR: 0.020000
Training Epoch: 3 [36608/46250]	Loss: 0.4923	LR: 0.020000
Training Epoch: 3 [36864/46250]	Loss: 0.5479	LR: 0.020000
Training Epoch: 3 [37120/46250]	Loss: 0.5815	LR: 0.020000
Training Epoch: 3 [37376/46250]	Loss: 0.5578	LR: 0.020000
Training Epoch: 3 [37632/46250]	Loss: 0.5352	LR: 0.020000
Training Epoch: 3 [37888/46250]	Loss: 0.4870	LR: 0.020000
Training Epoch: 3 [38144/46250]	Loss: 0.5614	LR: 0.020000
Training Epoch: 3 [38400/46250]	Loss: 0.5167	LR: 0.020000
Training Epoch: 3 [38656/46250]	Loss: 0.6192	LR: 0.020000
Training Epoch: 3 [38912/46250]	Loss: 0.4676	LR: 0.020000
Training Epoch: 3 [39168/46250]	Loss: 0.5050	LR: 0.020000
Training Epoch: 3 [39424/46250]	Loss: 0.5399	LR: 0.020000
Training Epoch: 3 [39680/46250]	Loss: 0.5912	LR: 0.020000
Training Epoch: 3 [39936/46250]	Loss: 0.6220	LR: 0.020000
Training Epoch: 3 [40192/46250]	Loss: 0.6956	LR: 0.020000
Training Epoch: 3 [40448/46250]	Loss: 0.5111	LR: 0.020000
Training Epoch: 3 [40704/46250]	Loss: 0.5387	LR: 0.020000
Training Epoch: 3 [40960/46250]	Loss: 0.5663	LR: 0.020000
Training Epoch: 3 [41216/46250]	Loss: 0.5414	LR: 0.020000
Training Epoch: 3 [41472/46250]	Loss: 0.5361	LR: 0.020000
Training Epoch: 3 [41728/46250]	Loss: 0.5607	LR: 0.020000
Training Epoch: 3 [41984/46250]	Loss: 0.5382	LR: 0.020000
Training Epoch: 3 [42240/46250]	Loss: 0.5660	LR: 0.020000
Training Epoch: 3 [42496/46250]	Loss: 0.6818	LR: 0.020000
Training Epoch: 3 [42752/46250]	Loss: 0.5605	LR: 0.020000
Training Epoch: 3 [43008/46250]	Loss: 0.5537	LR: 0.020000
Training Epoch: 3 [43264/46250]	Loss: 0.6069	LR: 0.020000
Training Epoch: 3 [43520/46250]	Loss: 0.4857	LR: 0.020000
Training Epoch: 3 [43776/46250]	Loss: 0.5945	LR: 0.020000
Training Epoch: 3 [44032/46250]	Loss: 0.5475	LR: 0.020000
Training Epoch: 3 [44288/46250]	Loss: 0.5380	LR: 0.020000
Training Epoch: 3 [44544/46250]	Loss: 0.6553	LR: 0.020000
Training Epoch: 3 [44800/46250]	Loss: 0.5822	LR: 0.020000
Training Epoch: 3 [45056/46250]	Loss: 0.5645	LR: 0.020000
Training Epoch: 3 [45312/46250]	Loss: 0.5616	LR: 0.020000
Training Epoch: 3 [45568/46250]	Loss: 0.4952	LR: 0.020000
Training Epoch: 3 [45824/46250]	Loss: 0.5469	LR: 0.020000
Training Epoch: 3 [46080/46250]	Loss: 0.5585	LR: 0.020000
Training Epoch: 3 [46250/46250]	Loss: 0.5378	LR: 0.020000
Epoch 3 - Average Train Loss: 0.5780, Train Accuracy: 0.7978
Epoch 3 training time consumed: 18.06s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0030, Accuracy: 0.7440, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_13h_32m_15s/ResNet18-Cifar10-seed9-ret25-3-best.pth
Training Epoch: 4 [256/46250]	Loss: 0.3921	LR: 0.020000
Training Epoch: 4 [512/46250]	Loss: 0.5264	LR: 0.020000
Training Epoch: 4 [768/46250]	Loss: 0.4393	LR: 0.020000
Training Epoch: 4 [1024/46250]	Loss: 0.3985	LR: 0.020000
Training Epoch: 4 [1280/46250]	Loss: 0.3419	LR: 0.020000
Training Epoch: 4 [1536/46250]	Loss: 0.4534	LR: 0.020000
Training Epoch: 4 [1792/46250]	Loss: 0.4573	LR: 0.020000
Training Epoch: 4 [2048/46250]	Loss: 0.3938	LR: 0.020000
Training Epoch: 4 [2304/46250]	Loss: 0.5114	LR: 0.020000
Training Epoch: 4 [2560/46250]	Loss: 0.2909	LR: 0.020000
Training Epoch: 4 [2816/46250]	Loss: 0.4326	LR: 0.020000
Training Epoch: 4 [3072/46250]	Loss: 0.4163	LR: 0.020000
Training Epoch: 4 [3328/46250]	Loss: 0.3524	LR: 0.020000
Training Epoch: 4 [3584/46250]	Loss: 0.5039	LR: 0.020000
Training Epoch: 4 [3840/46250]	Loss: 0.4756	LR: 0.020000
Training Epoch: 4 [4096/46250]	Loss: 0.4159	LR: 0.020000
Training Epoch: 4 [4352/46250]	Loss: 0.4569	LR: 0.020000
Training Epoch: 4 [4608/46250]	Loss: 0.3539	LR: 0.020000
Training Epoch: 4 [4864/46250]	Loss: 0.4664	LR: 0.020000
Training Epoch: 4 [5120/46250]	Loss: 0.4082	LR: 0.020000
Training Epoch: 4 [5376/46250]	Loss: 0.4217	LR: 0.020000
Training Epoch: 4 [5632/46250]	Loss: 0.3170	LR: 0.020000
Training Epoch: 4 [5888/46250]	Loss: 0.3839	LR: 0.020000
Training Epoch: 4 [6144/46250]	Loss: 0.4013	LR: 0.020000
Training Epoch: 4 [6400/46250]	Loss: 0.4258	LR: 0.020000
Training Epoch: 4 [6656/46250]	Loss: 0.3562	LR: 0.020000
Training Epoch: 4 [6912/46250]	Loss: 0.4015	LR: 0.020000
Training Epoch: 4 [7168/46250]	Loss: 0.3820	LR: 0.020000
Training Epoch: 4 [7424/46250]	Loss: 0.4697	LR: 0.020000
Training Epoch: 4 [7680/46250]	Loss: 0.4027	LR: 0.020000
Training Epoch: 4 [7936/46250]	Loss: 0.4612	LR: 0.020000
Training Epoch: 4 [8192/46250]	Loss: 0.3693	LR: 0.020000
Training Epoch: 4 [8448/46250]	Loss: 0.3798	LR: 0.020000
Training Epoch: 4 [8704/46250]	Loss: 0.4455	LR: 0.020000
Training Epoch: 4 [8960/46250]	Loss: 0.3132	LR: 0.020000
Training Epoch: 4 [9216/46250]	Loss: 0.4325	LR: 0.020000
Training Epoch: 4 [9472/46250]	Loss: 0.3969	LR: 0.020000
Training Epoch: 4 [9728/46250]	Loss: 0.3706	LR: 0.020000
Training Epoch: 4 [9984/46250]	Loss: 0.4337	LR: 0.020000
Training Epoch: 4 [10240/46250]	Loss: 0.4169	LR: 0.020000
Training Epoch: 4 [10496/46250]	Loss: 0.3672	LR: 0.020000
Training Epoch: 4 [10752/46250]	Loss: 0.4174	LR: 0.020000
Training Epoch: 4 [11008/46250]	Loss: 0.4209	LR: 0.020000
Training Epoch: 4 [11264/46250]	Loss: 0.3649	LR: 0.020000
Training Epoch: 4 [11520/46250]	Loss: 0.3866	LR: 0.020000
Training Epoch: 4 [11776/46250]	Loss: 0.3871	LR: 0.020000
Training Epoch: 4 [12032/46250]	Loss: 0.4941	LR: 0.020000
Training Epoch: 4 [12288/46250]	Loss: 0.4100	LR: 0.020000
Training Epoch: 4 [12544/46250]	Loss: 0.3889	LR: 0.020000
Training Epoch: 4 [12800/46250]	Loss: 0.3827	LR: 0.020000
Training Epoch: 4 [13056/46250]	Loss: 0.4439	LR: 0.020000
Training Epoch: 4 [13312/46250]	Loss: 0.4282	LR: 0.020000
Training Epoch: 4 [13568/46250]	Loss: 0.5154	LR: 0.020000
Training Epoch: 4 [13824/46250]	Loss: 0.4266	LR: 0.020000
Training Epoch: 4 [14080/46250]	Loss: 0.4249	LR: 0.020000
Training Epoch: 4 [14336/46250]	Loss: 0.4390	LR: 0.020000
Training Epoch: 4 [14592/46250]	Loss: 0.4442	LR: 0.020000
Training Epoch: 4 [14848/46250]	Loss: 0.4384	LR: 0.020000
Training Epoch: 4 [15104/46250]	Loss: 0.4494	LR: 0.020000
Training Epoch: 4 [15360/46250]	Loss: 0.4804	LR: 0.020000
Training Epoch: 4 [15616/46250]	Loss: 0.5477	LR: 0.020000
Training Epoch: 4 [15872/46250]	Loss: 0.4241	LR: 0.020000
Training Epoch: 4 [16128/46250]	Loss: 0.5048	LR: 0.020000
Training Epoch: 4 [16384/46250]	Loss: 0.3799	LR: 0.020000
Training Epoch: 4 [16640/46250]	Loss: 0.5074	LR: 0.020000
Training Epoch: 4 [16896/46250]	Loss: 0.5867	LR: 0.020000
Training Epoch: 4 [17152/46250]	Loss: 0.3660	LR: 0.020000
Training Epoch: 4 [17408/46250]	Loss: 0.4699	LR: 0.020000
Training Epoch: 4 [17664/46250]	Loss: 0.4482	LR: 0.020000
Training Epoch: 4 [17920/46250]	Loss: 0.5120	LR: 0.020000
Training Epoch: 4 [18176/46250]	Loss: 0.4704	LR: 0.020000
Training Epoch: 4 [18432/46250]	Loss: 0.5324	LR: 0.020000
Training Epoch: 4 [18688/46250]	Loss: 0.4850	LR: 0.020000
Training Epoch: 4 [18944/46250]	Loss: 0.4268	LR: 0.020000
Training Epoch: 4 [19200/46250]	Loss: 0.4512	LR: 0.020000
Training Epoch: 4 [19456/46250]	Loss: 0.5299	LR: 0.020000
Training Epoch: 4 [19712/46250]	Loss: 0.4913	LR: 0.020000
Training Epoch: 4 [19968/46250]	Loss: 0.4472	LR: 0.020000
Training Epoch: 4 [20224/46250]	Loss: 0.5174	LR: 0.020000
Training Epoch: 4 [20480/46250]	Loss: 0.4852	LR: 0.020000
Training Epoch: 4 [20736/46250]	Loss: 0.4737	LR: 0.020000
Training Epoch: 4 [20992/46250]	Loss: 0.4784	LR: 0.020000
Training Epoch: 4 [21248/46250]	Loss: 0.4332	LR: 0.020000
Training Epoch: 4 [21504/46250]	Loss: 0.4990	LR: 0.020000
Training Epoch: 4 [21760/46250]	Loss: 0.4698	LR: 0.020000
Training Epoch: 4 [22016/46250]	Loss: 0.4642	LR: 0.020000
Training Epoch: 4 [22272/46250]	Loss: 0.3830	LR: 0.020000
Training Epoch: 4 [22528/46250]	Loss: 0.4519	LR: 0.020000
Training Epoch: 4 [22784/46250]	Loss: 0.3653	LR: 0.020000
Training Epoch: 4 [23040/46250]	Loss: 0.4521	LR: 0.020000
Training Epoch: 4 [23296/46250]	Loss: 0.3567	LR: 0.020000
Training Epoch: 4 [23552/46250]	Loss: 0.4092	LR: 0.020000
Training Epoch: 4 [23808/46250]	Loss: 0.5030	LR: 0.020000
Training Epoch: 4 [24064/46250]	Loss: 0.3624	LR: 0.020000
Training Epoch: 4 [24320/46250]	Loss: 0.4351	LR: 0.020000
Training Epoch: 4 [24576/46250]	Loss: 0.4614	LR: 0.020000
Training Epoch: 4 [24832/46250]	Loss: 0.3315	LR: 0.020000
Training Epoch: 4 [25088/46250]	Loss: 0.4799	LR: 0.020000
Training Epoch: 4 [25344/46250]	Loss: 0.5280	LR: 0.020000
Training Epoch: 4 [25600/46250]	Loss: 0.3895	LR: 0.020000
Training Epoch: 4 [25856/46250]	Loss: 0.5200	LR: 0.020000
Training Epoch: 4 [26112/46250]	Loss: 0.4221	LR: 0.020000
Training Epoch: 4 [26368/46250]	Loss: 0.4464	LR: 0.020000
Training Epoch: 4 [26624/46250]	Loss: 0.4038	LR: 0.020000
Training Epoch: 4 [26880/46250]	Loss: 0.5332	LR: 0.020000
Training Epoch: 4 [27136/46250]	Loss: 0.4375	LR: 0.020000
Training Epoch: 4 [27392/46250]	Loss: 0.4744	LR: 0.020000
Training Epoch: 4 [27648/46250]	Loss: 0.4107	LR: 0.020000
Training Epoch: 4 [27904/46250]	Loss: 0.4382	LR: 0.020000
Training Epoch: 4 [28160/46250]	Loss: 0.4220	LR: 0.020000
Training Epoch: 4 [28416/46250]	Loss: 0.4831	LR: 0.020000
Training Epoch: 4 [28672/46250]	Loss: 0.5156	LR: 0.020000
Training Epoch: 4 [28928/46250]	Loss: 0.3842	LR: 0.020000
Training Epoch: 4 [29184/46250]	Loss: 0.4459	LR: 0.020000
Training Epoch: 4 [29440/46250]	Loss: 0.4383	LR: 0.020000
Training Epoch: 4 [29696/46250]	Loss: 0.5345	LR: 0.020000
Training Epoch: 4 [29952/46250]	Loss: 0.3835	LR: 0.020000
Training Epoch: 4 [30208/46250]	Loss: 0.4767	LR: 0.020000
Training Epoch: 4 [30464/46250]	Loss: 0.4307	LR: 0.020000
Training Epoch: 4 [30720/46250]	Loss: 0.5706	LR: 0.020000
Training Epoch: 4 [30976/46250]	Loss: 0.4967	LR: 0.020000
Training Epoch: 4 [31232/46250]	Loss: 0.5225	LR: 0.020000
Training Epoch: 4 [31488/46250]	Loss: 0.3807	LR: 0.020000
Training Epoch: 4 [31744/46250]	Loss: 0.2877	LR: 0.020000
Training Epoch: 4 [32000/46250]	Loss: 0.4793	LR: 0.020000
Training Epoch: 4 [32256/46250]	Loss: 0.4472	LR: 0.020000
Training Epoch: 4 [32512/46250]	Loss: 0.5044	LR: 0.020000
Training Epoch: 4 [32768/46250]	Loss: 0.4785	LR: 0.020000
Training Epoch: 4 [33024/46250]	Loss: 0.3830	LR: 0.020000
Training Epoch: 4 [33280/46250]	Loss: 0.4870	LR: 0.020000
Training Epoch: 4 [33536/46250]	Loss: 0.3928	LR: 0.020000
Training Epoch: 4 [33792/46250]	Loss: 0.4249	LR: 0.020000
Training Epoch: 4 [34048/46250]	Loss: 0.5219	LR: 0.020000
Training Epoch: 4 [34304/46250]	Loss: 0.5310	LR: 0.020000
Training Epoch: 4 [34560/46250]	Loss: 0.4627	LR: 0.020000
Training Epoch: 4 [34816/46250]	Loss: 0.5112	LR: 0.020000
Training Epoch: 4 [35072/46250]	Loss: 0.5228	LR: 0.020000
Training Epoch: 4 [35328/46250]	Loss: 0.4416	LR: 0.020000
Training Epoch: 4 [35584/46250]	Loss: 0.5076	LR: 0.020000
Training Epoch: 4 [35840/46250]	Loss: 0.4416	LR: 0.020000
Training Epoch: 4 [36096/46250]	Loss: 0.5580	LR: 0.020000
Training Epoch: 4 [36352/46250]	Loss: 0.4939	LR: 0.020000
Training Epoch: 4 [36608/46250]	Loss: 0.5654	LR: 0.020000
Training Epoch: 4 [36864/46250]	Loss: 0.5623	LR: 0.020000
Training Epoch: 4 [37120/46250]	Loss: 0.4852	LR: 0.020000
Training Epoch: 4 [37376/46250]	Loss: 0.4522	LR: 0.020000
Training Epoch: 4 [37632/46250]	Loss: 0.5027	LR: 0.020000
Training Epoch: 4 [37888/46250]	Loss: 0.5359	LR: 0.020000
Training Epoch: 4 [38144/46250]	Loss: 0.5018	LR: 0.020000
Training Epoch: 4 [38400/46250]	Loss: 0.5103	LR: 0.020000
Training Epoch: 4 [38656/46250]	Loss: 0.4657	LR: 0.020000
Training Epoch: 4 [38912/46250]	Loss: 0.4094	LR: 0.020000
Training Epoch: 4 [39168/46250]	Loss: 0.4999	LR: 0.020000
Training Epoch: 4 [39424/46250]	Loss: 0.4194	LR: 0.020000
Training Epoch: 4 [39680/46250]	Loss: 0.5436	LR: 0.020000
Training Epoch: 4 [39936/46250]	Loss: 0.5727	LR: 0.020000
Training Epoch: 4 [40192/46250]	Loss: 0.4640	LR: 0.020000
Training Epoch: 4 [40448/46250]	Loss: 0.6067	LR: 0.020000
Training Epoch: 4 [40704/46250]	Loss: 0.5410	LR: 0.020000
Training Epoch: 4 [40960/46250]	Loss: 0.5025	LR: 0.020000
Training Epoch: 4 [41216/46250]	Loss: 0.4202	LR: 0.020000
Training Epoch: 4 [41472/46250]	Loss: 0.3624	LR: 0.020000
Training Epoch: 4 [41728/46250]	Loss: 0.4842	LR: 0.020000
Training Epoch: 4 [41984/46250]	Loss: 0.4190	LR: 0.020000
Training Epoch: 4 [42240/46250]	Loss: 0.4806	LR: 0.020000
Training Epoch: 4 [42496/46250]	Loss: 0.4026	LR: 0.020000
Training Epoch: 4 [42752/46250]	Loss: 0.4835	LR: 0.020000
Training Epoch: 4 [43008/46250]	Loss: 0.5384	LR: 0.020000
Training Epoch: 4 [43264/46250]	Loss: 0.4538	LR: 0.020000
Training Epoch: 4 [43520/46250]	Loss: 0.4087	LR: 0.020000
Training Epoch: 4 [43776/46250]	Loss: 0.5031	LR: 0.020000
Training Epoch: 4 [44032/46250]	Loss: 0.3957	LR: 0.020000
Training Epoch: 4 [44288/46250]	Loss: 0.3824	LR: 0.020000
Training Epoch: 4 [44544/46250]	Loss: 0.4243	LR: 0.020000
Training Epoch: 4 [44800/46250]	Loss: 0.4448	LR: 0.020000
Training Epoch: 4 [45056/46250]	Loss: 0.4324	LR: 0.020000
Training Epoch: 4 [45312/46250]	Loss: 0.4781	LR: 0.020000
Training Epoch: 4 [45568/46250]	Loss: 0.4527	LR: 0.020000
Training Epoch: 4 [45824/46250]	Loss: 0.4483	LR: 0.020000
Training Epoch: 4 [46080/46250]	Loss: 0.4854	LR: 0.020000
Training Epoch: 4 [46250/46250]	Loss: 0.5302	LR: 0.020000
Epoch 4 - Average Train Loss: 0.4491, Train Accuracy: 0.8423
Epoch 4 training time consumed: 18.06s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0034, Accuracy: 0.7314, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_13h_32m_15s/ResNet18-Cifar10-seed9-ret25-4-best.pth
Training Epoch: 5 [256/46250]	Loss: 0.3139	LR: 0.004000
Training Epoch: 5 [512/46250]	Loss: 0.2801	LR: 0.004000
Training Epoch: 5 [768/46250]	Loss: 0.3151	LR: 0.004000
Training Epoch: 5 [1024/46250]	Loss: 0.2598	LR: 0.004000
Training Epoch: 5 [1280/46250]	Loss: 0.3133	LR: 0.004000
Training Epoch: 5 [1536/46250]	Loss: 0.2881	LR: 0.004000
Training Epoch: 5 [1792/46250]	Loss: 0.3283	LR: 0.004000
Training Epoch: 5 [2048/46250]	Loss: 0.3316	LR: 0.004000
Training Epoch: 5 [2304/46250]	Loss: 0.2964	LR: 0.004000
Training Epoch: 5 [2560/46250]	Loss: 0.2683	LR: 0.004000
Training Epoch: 5 [2816/46250]	Loss: 0.3870	LR: 0.004000
Training Epoch: 5 [3072/46250]	Loss: 0.3218	LR: 0.004000
Training Epoch: 5 [3328/46250]	Loss: 0.3025	LR: 0.004000
Training Epoch: 5 [3584/46250]	Loss: 0.3350	LR: 0.004000
Training Epoch: 5 [3840/46250]	Loss: 0.2528	LR: 0.004000
Training Epoch: 5 [4096/46250]	Loss: 0.2451	LR: 0.004000
Training Epoch: 5 [4352/46250]	Loss: 0.2785	LR: 0.004000
Training Epoch: 5 [4608/46250]	Loss: 0.2676	LR: 0.004000
Training Epoch: 5 [4864/46250]	Loss: 0.2584	LR: 0.004000
Training Epoch: 5 [5120/46250]	Loss: 0.2618	LR: 0.004000
Training Epoch: 5 [5376/46250]	Loss: 0.2819	LR: 0.004000
Training Epoch: 5 [5632/46250]	Loss: 0.3169	LR: 0.004000
Training Epoch: 5 [5888/46250]	Loss: 0.2486	LR: 0.004000
Training Epoch: 5 [6144/46250]	Loss: 0.2313	LR: 0.004000
Training Epoch: 5 [6400/46250]	Loss: 0.2017	LR: 0.004000
Training Epoch: 5 [6656/46250]	Loss: 0.2467	LR: 0.004000
Training Epoch: 5 [6912/46250]	Loss: 0.2506	LR: 0.004000
Training Epoch: 5 [7168/46250]	Loss: 0.2520	LR: 0.004000
Training Epoch: 5 [7424/46250]	Loss: 0.2472	LR: 0.004000
Training Epoch: 5 [7680/46250]	Loss: 0.2485	LR: 0.004000
Training Epoch: 5 [7936/46250]	Loss: 0.2066	LR: 0.004000
Training Epoch: 5 [8192/46250]	Loss: 0.3090	LR: 0.004000
Training Epoch: 5 [8448/46250]	Loss: 0.2000	LR: 0.004000
Training Epoch: 5 [8704/46250]	Loss: 0.2199	LR: 0.004000
Training Epoch: 5 [8960/46250]	Loss: 0.2636	LR: 0.004000
Training Epoch: 5 [9216/46250]	Loss: 0.1981	LR: 0.004000
Training Epoch: 5 [9472/46250]	Loss: 0.2030	LR: 0.004000
Training Epoch: 5 [9728/46250]	Loss: 0.2185	LR: 0.004000
Training Epoch: 5 [9984/46250]	Loss: 0.2020	LR: 0.004000
Training Epoch: 5 [10240/46250]	Loss: 0.2060	LR: 0.004000
Training Epoch: 5 [10496/46250]	Loss: 0.2216	LR: 0.004000
Training Epoch: 5 [10752/46250]	Loss: 0.1910	LR: 0.004000
Training Epoch: 5 [11008/46250]	Loss: 0.2663	LR: 0.004000
Training Epoch: 5 [11264/46250]	Loss: 0.1649	LR: 0.004000
Training Epoch: 5 [11520/46250]	Loss: 0.2183	LR: 0.004000
Training Epoch: 5 [11776/46250]	Loss: 0.2257	LR: 0.004000
Training Epoch: 5 [12032/46250]	Loss: 0.2577	LR: 0.004000
Training Epoch: 5 [12288/46250]	Loss: 0.2240	LR: 0.004000
Training Epoch: 5 [12544/46250]	Loss: 0.2530	LR: 0.004000
Training Epoch: 5 [12800/46250]	Loss: 0.2202	LR: 0.004000
Training Epoch: 5 [13056/46250]	Loss: 0.2289	LR: 0.004000
Training Epoch: 5 [13312/46250]	Loss: 0.2221	LR: 0.004000
Training Epoch: 5 [13568/46250]	Loss: 0.2310	LR: 0.004000
Training Epoch: 5 [13824/46250]	Loss: 0.2308	LR: 0.004000
Training Epoch: 5 [14080/46250]	Loss: 0.2784	LR: 0.004000
Training Epoch: 5 [14336/46250]	Loss: 0.2549	LR: 0.004000
Training Epoch: 5 [14592/46250]	Loss: 0.2167	LR: 0.004000
Training Epoch: 5 [14848/46250]	Loss: 0.1986	LR: 0.004000
Training Epoch: 5 [15104/46250]	Loss: 0.2146	LR: 0.004000
Training Epoch: 5 [15360/46250]	Loss: 0.2190	LR: 0.004000
Training Epoch: 5 [15616/46250]	Loss: 0.1912	LR: 0.004000
Training Epoch: 5 [15872/46250]	Loss: 0.1865	LR: 0.004000
Training Epoch: 5 [16128/46250]	Loss: 0.2162	LR: 0.004000
Training Epoch: 5 [16384/46250]	Loss: 0.2533	LR: 0.004000
Training Epoch: 5 [16640/46250]	Loss: 0.2012	LR: 0.004000
Training Epoch: 5 [16896/46250]	Loss: 0.2279	LR: 0.004000
Training Epoch: 5 [17152/46250]	Loss: 0.1835	LR: 0.004000
Training Epoch: 5 [17408/46250]	Loss: 0.2369	LR: 0.004000
Training Epoch: 5 [17664/46250]	Loss: 0.2061	LR: 0.004000
Training Epoch: 5 [17920/46250]	Loss: 0.1760	LR: 0.004000
Training Epoch: 5 [18176/46250]	Loss: 0.2582	LR: 0.004000
Training Epoch: 5 [18432/46250]	Loss: 0.2137	LR: 0.004000
Training Epoch: 5 [18688/46250]	Loss: 0.2462	LR: 0.004000
Training Epoch: 5 [18944/46250]	Loss: 0.2009	LR: 0.004000
Training Epoch: 5 [19200/46250]	Loss: 0.2535	LR: 0.004000
Training Epoch: 5 [19456/46250]	Loss: 0.2102	LR: 0.004000
Training Epoch: 5 [19712/46250]	Loss: 0.1795	LR: 0.004000
Training Epoch: 5 [19968/46250]	Loss: 0.2192	LR: 0.004000
Training Epoch: 5 [20224/46250]	Loss: 0.2014	LR: 0.004000
Training Epoch: 5 [20480/46250]	Loss: 0.1899	LR: 0.004000
Training Epoch: 5 [20736/46250]	Loss: 0.2066	LR: 0.004000
Training Epoch: 5 [20992/46250]	Loss: 0.2021	LR: 0.004000
Training Epoch: 5 [21248/46250]	Loss: 0.2275	LR: 0.004000
Training Epoch: 5 [21504/46250]	Loss: 0.1750	LR: 0.004000
Training Epoch: 5 [21760/46250]	Loss: 0.1650	LR: 0.004000
Training Epoch: 5 [22016/46250]	Loss: 0.1965	LR: 0.004000
Training Epoch: 5 [22272/46250]	Loss: 0.2237	LR: 0.004000
Training Epoch: 5 [22528/46250]	Loss: 0.1785	LR: 0.004000
Training Epoch: 5 [22784/46250]	Loss: 0.1936	LR: 0.004000
Training Epoch: 5 [23040/46250]	Loss: 0.1334	LR: 0.004000
Training Epoch: 5 [23296/46250]	Loss: 0.1780	LR: 0.004000
Training Epoch: 5 [23552/46250]	Loss: 0.1953	LR: 0.004000
Training Epoch: 5 [23808/46250]	Loss: 0.2558	LR: 0.004000
Training Epoch: 5 [24064/46250]	Loss: 0.2381	LR: 0.004000
Training Epoch: 5 [24320/46250]	Loss: 0.1494	LR: 0.004000
Training Epoch: 5 [24576/46250]	Loss: 0.2097	LR: 0.004000
Training Epoch: 5 [24832/46250]	Loss: 0.1772	LR: 0.004000
Training Epoch: 5 [25088/46250]	Loss: 0.2226	LR: 0.004000
Training Epoch: 5 [25344/46250]	Loss: 0.2830	LR: 0.004000
Training Epoch: 5 [25600/46250]	Loss: 0.1584	LR: 0.004000
Training Epoch: 5 [25856/46250]	Loss: 0.2098	LR: 0.004000
Training Epoch: 5 [26112/46250]	Loss: 0.1499	LR: 0.004000
Training Epoch: 5 [26368/46250]	Loss: 0.1743	LR: 0.004000
Training Epoch: 5 [26624/46250]	Loss: 0.1951	LR: 0.004000
Training Epoch: 5 [26880/46250]	Loss: 0.2010	LR: 0.004000
Training Epoch: 5 [27136/46250]	Loss: 0.1822	LR: 0.004000
Training Epoch: 5 [27392/46250]	Loss: 0.1643	LR: 0.004000
Training Epoch: 5 [27648/46250]	Loss: 0.1729	LR: 0.004000
Training Epoch: 5 [27904/46250]	Loss: 0.2065	LR: 0.004000
Training Epoch: 5 [28160/46250]	Loss: 0.1450	LR: 0.004000
Training Epoch: 5 [28416/46250]	Loss: 0.1883	LR: 0.004000
Training Epoch: 5 [28672/46250]	Loss: 0.2250	LR: 0.004000
Training Epoch: 5 [28928/46250]	Loss: 0.1816	LR: 0.004000
Training Epoch: 5 [29184/46250]	Loss: 0.1802	LR: 0.004000
Training Epoch: 5 [29440/46250]	Loss: 0.2785	LR: 0.004000
Training Epoch: 5 [29696/46250]	Loss: 0.1672	LR: 0.004000
Training Epoch: 5 [29952/46250]	Loss: 0.2119	LR: 0.004000
Training Epoch: 5 [30208/46250]	Loss: 0.2047	LR: 0.004000
Training Epoch: 5 [30464/46250]	Loss: 0.1975	LR: 0.004000
Training Epoch: 5 [30720/46250]	Loss: 0.1073	LR: 0.004000
Training Epoch: 5 [30976/46250]	Loss: 0.1902	LR: 0.004000
Training Epoch: 5 [31232/46250]	Loss: 0.1758	LR: 0.004000
Training Epoch: 5 [31488/46250]	Loss: 0.1672	LR: 0.004000
Training Epoch: 5 [31744/46250]	Loss: 0.1619	LR: 0.004000
Training Epoch: 5 [32000/46250]	Loss: 0.1589	LR: 0.004000
Training Epoch: 5 [32256/46250]	Loss: 0.1420	LR: 0.004000
Training Epoch: 5 [32512/46250]	Loss: 0.1987	LR: 0.004000
Training Epoch: 5 [32768/46250]	Loss: 0.1741	LR: 0.004000
Training Epoch: 5 [33024/46250]	Loss: 0.1977	LR: 0.004000
Training Epoch: 5 [33280/46250]	Loss: 0.1312	LR: 0.004000
Training Epoch: 5 [33536/46250]	Loss: 0.1824	LR: 0.004000
Training Epoch: 5 [33792/46250]	Loss: 0.1768	LR: 0.004000
Training Epoch: 5 [34048/46250]	Loss: 0.1472	LR: 0.004000
Training Epoch: 5 [34304/46250]	Loss: 0.2252	LR: 0.004000
Training Epoch: 5 [34560/46250]	Loss: 0.1495	LR: 0.004000
Training Epoch: 5 [34816/46250]	Loss: 0.1790	LR: 0.004000
Training Epoch: 5 [35072/46250]	Loss: 0.1554	LR: 0.004000
Training Epoch: 5 [35328/46250]	Loss: 0.2218	LR: 0.004000
Training Epoch: 5 [35584/46250]	Loss: 0.1706	LR: 0.004000
Training Epoch: 5 [35840/46250]	Loss: 0.1857	LR: 0.004000
Training Epoch: 5 [36096/46250]	Loss: 0.2028	LR: 0.004000
Training Epoch: 5 [36352/46250]	Loss: 0.1707	LR: 0.004000
Training Epoch: 5 [36608/46250]	Loss: 0.1935	LR: 0.004000
Training Epoch: 5 [36864/46250]	Loss: 0.1962	LR: 0.004000
Training Epoch: 5 [37120/46250]	Loss: 0.1676	LR: 0.004000
Training Epoch: 5 [37376/46250]	Loss: 0.1628	LR: 0.004000
Training Epoch: 5 [37632/46250]	Loss: 0.2027	LR: 0.004000
Training Epoch: 5 [37888/46250]	Loss: 0.1873	LR: 0.004000
Training Epoch: 5 [38144/46250]	Loss: 0.1893	LR: 0.004000
Training Epoch: 5 [38400/46250]	Loss: 0.2416	LR: 0.004000
Training Epoch: 5 [38656/46250]	Loss: 0.2085	LR: 0.004000
Training Epoch: 5 [38912/46250]	Loss: 0.1492	LR: 0.004000
Training Epoch: 5 [39168/46250]	Loss: 0.1893	LR: 0.004000
Training Epoch: 5 [39424/46250]	Loss: 0.2065	LR: 0.004000
Training Epoch: 5 [39680/46250]	Loss: 0.1604	LR: 0.004000
Training Epoch: 5 [39936/46250]	Loss: 0.2130	LR: 0.004000
Training Epoch: 5 [40192/46250]	Loss: 0.1570	LR: 0.004000
Training Epoch: 5 [40448/46250]	Loss: 0.2064	LR: 0.004000
Training Epoch: 5 [40704/46250]	Loss: 0.1686	LR: 0.004000
Training Epoch: 5 [40960/46250]	Loss: 0.2193	LR: 0.004000
Training Epoch: 5 [41216/46250]	Loss: 0.1581	LR: 0.004000
Training Epoch: 5 [41472/46250]	Loss: 0.2634	LR: 0.004000
Training Epoch: 5 [41728/46250]	Loss: 0.1554	LR: 0.004000
Training Epoch: 5 [41984/46250]	Loss: 0.2393	LR: 0.004000
Training Epoch: 5 [42240/46250]	Loss: 0.1921	LR: 0.004000
Training Epoch: 5 [42496/46250]	Loss: 0.2416	LR: 0.004000
Training Epoch: 5 [42752/46250]	Loss: 0.2015	LR: 0.004000
Training Epoch: 5 [43008/46250]	Loss: 0.2400	LR: 0.004000
Training Epoch: 5 [43264/46250]	Loss: 0.2087	LR: 0.004000
Training Epoch: 5 [43520/46250]	Loss: 0.1843	LR: 0.004000
Training Epoch: 5 [43776/46250]	Loss: 0.1678	LR: 0.004000
Training Epoch: 5 [44032/46250]	Loss: 0.1513	LR: 0.004000
Training Epoch: 5 [44288/46250]	Loss: 0.1746	LR: 0.004000
Training Epoch: 5 [44544/46250]	Loss: 0.1692	LR: 0.004000
Training Epoch: 5 [44800/46250]	Loss: 0.1720	LR: 0.004000
Training Epoch: 5 [45056/46250]	Loss: 0.1977	LR: 0.004000
Training Epoch: 5 [45312/46250]	Loss: 0.1651	LR: 0.004000
Training Epoch: 5 [45568/46250]	Loss: 0.1655	LR: 0.004000
Training Epoch: 5 [45824/46250]	Loss: 0.1936	LR: 0.004000
Training Epoch: 5 [46080/46250]	Loss: 0.2162	LR: 0.004000
Training Epoch: 5 [46250/46250]	Loss: 0.2512	LR: 0.004000
Epoch 5 - Average Train Loss: 0.2129, Train Accuracy: 0.9312
Epoch 5 training time consumed: 18.05s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0022, Accuracy: 0.8187, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_13h_32m_15s/ResNet18-Cifar10-seed9-ret25-5-best.pth
Training Epoch: 6 [256/46250]	Loss: 0.1209	LR: 0.004000
Training Epoch: 6 [512/46250]	Loss: 0.1020	LR: 0.004000
Training Epoch: 6 [768/46250]	Loss: 0.1258	LR: 0.004000
Training Epoch: 6 [1024/46250]	Loss: 0.1192	LR: 0.004000
Training Epoch: 6 [1280/46250]	Loss: 0.1056	LR: 0.004000
Training Epoch: 6 [1536/46250]	Loss: 0.0984	LR: 0.004000
Training Epoch: 6 [1792/46250]	Loss: 0.1271	LR: 0.004000
Training Epoch: 6 [2048/46250]	Loss: 0.1064	LR: 0.004000
Training Epoch: 6 [2304/46250]	Loss: 0.0892	LR: 0.004000
Training Epoch: 6 [2560/46250]	Loss: 0.1105	LR: 0.004000
Training Epoch: 6 [2816/46250]	Loss: 0.1311	LR: 0.004000
Training Epoch: 6 [3072/46250]	Loss: 0.1476	LR: 0.004000
Training Epoch: 6 [3328/46250]	Loss: 0.1329	LR: 0.004000
Training Epoch: 6 [3584/46250]	Loss: 0.1043	LR: 0.004000
Training Epoch: 6 [3840/46250]	Loss: 0.1222	LR: 0.004000
Training Epoch: 6 [4096/46250]	Loss: 0.1455	LR: 0.004000
Training Epoch: 6 [4352/46250]	Loss: 0.1238	LR: 0.004000
Training Epoch: 6 [4608/46250]	Loss: 0.1085	LR: 0.004000
Training Epoch: 6 [4864/46250]	Loss: 0.1520	LR: 0.004000
Training Epoch: 6 [5120/46250]	Loss: 0.1598	LR: 0.004000
Training Epoch: 6 [5376/46250]	Loss: 0.1087	LR: 0.004000
Training Epoch: 6 [5632/46250]	Loss: 0.0934	LR: 0.004000
Training Epoch: 6 [5888/46250]	Loss: 0.1376	LR: 0.004000
Training Epoch: 6 [6144/46250]	Loss: 0.1147	LR: 0.004000
Training Epoch: 6 [6400/46250]	Loss: 0.0975	LR: 0.004000
Training Epoch: 6 [6656/46250]	Loss: 0.0874	LR: 0.004000
Training Epoch: 6 [6912/46250]	Loss: 0.1292	LR: 0.004000
Training Epoch: 6 [7168/46250]	Loss: 0.1016	LR: 0.004000
Training Epoch: 6 [7424/46250]	Loss: 0.1292	LR: 0.004000
Training Epoch: 6 [7680/46250]	Loss: 0.0805	LR: 0.004000
Training Epoch: 6 [7936/46250]	Loss: 0.1239	LR: 0.004000
Training Epoch: 6 [8192/46250]	Loss: 0.1332	LR: 0.004000
Training Epoch: 6 [8448/46250]	Loss: 0.1212	LR: 0.004000
Training Epoch: 6 [8704/46250]	Loss: 0.1137	LR: 0.004000
Training Epoch: 6 [8960/46250]	Loss: 0.0977	LR: 0.004000
Training Epoch: 6 [9216/46250]	Loss: 0.1110	LR: 0.004000
Training Epoch: 6 [9472/46250]	Loss: 0.0915	LR: 0.004000
Training Epoch: 6 [9728/46250]	Loss: 0.0921	LR: 0.004000
Training Epoch: 6 [9984/46250]	Loss: 0.1232	LR: 0.004000
Training Epoch: 6 [10240/46250]	Loss: 0.1224	LR: 0.004000
Training Epoch: 6 [10496/46250]	Loss: 0.0919	LR: 0.004000
Training Epoch: 6 [10752/46250]	Loss: 0.2071	LR: 0.004000
Training Epoch: 6 [11008/46250]	Loss: 0.1015	LR: 0.004000
Training Epoch: 6 [11264/46250]	Loss: 0.1411	LR: 0.004000
Training Epoch: 6 [11520/46250]	Loss: 0.0788	LR: 0.004000
Training Epoch: 6 [11776/46250]	Loss: 0.0984	LR: 0.004000
Training Epoch: 6 [12032/46250]	Loss: 0.1213	LR: 0.004000
Training Epoch: 6 [12288/46250]	Loss: 0.1214	LR: 0.004000
Training Epoch: 6 [12544/46250]	Loss: 0.1227	LR: 0.004000
Training Epoch: 6 [12800/46250]	Loss: 0.1191	LR: 0.004000
Training Epoch: 6 [13056/46250]	Loss: 0.0930	LR: 0.004000
Training Epoch: 6 [13312/46250]	Loss: 0.1317	LR: 0.004000
Training Epoch: 6 [13568/46250]	Loss: 0.1229	LR: 0.004000
Training Epoch: 6 [13824/46250]	Loss: 0.1146	LR: 0.004000
Training Epoch: 6 [14080/46250]	Loss: 0.1667	LR: 0.004000
Training Epoch: 6 [14336/46250]	Loss: 0.1351	LR: 0.004000
Training Epoch: 6 [14592/46250]	Loss: 0.0732	LR: 0.004000
Training Epoch: 6 [14848/46250]	Loss: 0.1261	LR: 0.004000
Training Epoch: 6 [15104/46250]	Loss: 0.0808	LR: 0.004000
Training Epoch: 6 [15360/46250]	Loss: 0.1661	LR: 0.004000
Training Epoch: 6 [15616/46250]	Loss: 0.1292	LR: 0.004000
Training Epoch: 6 [15872/46250]	Loss: 0.0902	LR: 0.004000
Training Epoch: 6 [16128/46250]	Loss: 0.1150	LR: 0.004000
Training Epoch: 6 [16384/46250]	Loss: 0.1744	LR: 0.004000
Training Epoch: 6 [16640/46250]	Loss: 0.0894	LR: 0.004000
Training Epoch: 6 [16896/46250]	Loss: 0.1121	LR: 0.004000
Training Epoch: 6 [17152/46250]	Loss: 0.1386	LR: 0.004000
Training Epoch: 6 [17408/46250]	Loss: 0.1315	LR: 0.004000
Training Epoch: 6 [17664/46250]	Loss: 0.1145	LR: 0.004000
Training Epoch: 6 [17920/46250]	Loss: 0.1460	LR: 0.004000
Training Epoch: 6 [18176/46250]	Loss: 0.1017	LR: 0.004000
Training Epoch: 6 [18432/46250]	Loss: 0.0988	LR: 0.004000
Training Epoch: 6 [18688/46250]	Loss: 0.1065	LR: 0.004000
Training Epoch: 6 [18944/46250]	Loss: 0.1231	LR: 0.004000
Training Epoch: 6 [19200/46250]	Loss: 0.1302	LR: 0.004000
Training Epoch: 6 [19456/46250]	Loss: 0.1439	LR: 0.004000
Training Epoch: 6 [19712/46250]	Loss: 0.1168	LR: 0.004000
Training Epoch: 6 [19968/46250]	Loss: 0.1207	LR: 0.004000
Training Epoch: 6 [20224/46250]	Loss: 0.1062	LR: 0.004000
Training Epoch: 6 [20480/46250]	Loss: 0.1428	LR: 0.004000
Training Epoch: 6 [20736/46250]	Loss: 0.0964	LR: 0.004000
Training Epoch: 6 [20992/46250]	Loss: 0.1198	LR: 0.004000
Training Epoch: 6 [21248/46250]	Loss: 0.1292	LR: 0.004000
Training Epoch: 6 [21504/46250]	Loss: 0.1117	LR: 0.004000
Training Epoch: 6 [21760/46250]	Loss: 0.1101	LR: 0.004000
Training Epoch: 6 [22016/46250]	Loss: 0.1145	LR: 0.004000
Training Epoch: 6 [22272/46250]	Loss: 0.0837	LR: 0.004000
Training Epoch: 6 [22528/46250]	Loss: 0.1169	LR: 0.004000
Training Epoch: 6 [22784/46250]	Loss: 0.1381	LR: 0.004000
Training Epoch: 6 [23040/46250]	Loss: 0.1160	LR: 0.004000
Training Epoch: 6 [23296/46250]	Loss: 0.1016	LR: 0.004000
Training Epoch: 6 [23552/46250]	Loss: 0.1213	LR: 0.004000
Training Epoch: 6 [23808/46250]	Loss: 0.0805	LR: 0.004000
Training Epoch: 6 [24064/46250]	Loss: 0.1348	LR: 0.004000
Training Epoch: 6 [24320/46250]	Loss: 0.0900	LR: 0.004000
Training Epoch: 6 [24576/46250]	Loss: 0.1183	LR: 0.004000
Training Epoch: 6 [24832/46250]	Loss: 0.1173	LR: 0.004000
Training Epoch: 6 [25088/46250]	Loss: 0.1104	LR: 0.004000
Training Epoch: 6 [25344/46250]	Loss: 0.1291	LR: 0.004000
Training Epoch: 6 [25600/46250]	Loss: 0.1251	LR: 0.004000
Training Epoch: 6 [25856/46250]	Loss: 0.1172	LR: 0.004000
Training Epoch: 6 [26112/46250]	Loss: 0.1076	LR: 0.004000
Training Epoch: 6 [26368/46250]	Loss: 0.1355	LR: 0.004000
Training Epoch: 6 [26624/46250]	Loss: 0.1226	LR: 0.004000
Training Epoch: 6 [26880/46250]	Loss: 0.0998	LR: 0.004000
Training Epoch: 6 [27136/46250]	Loss: 0.1171	LR: 0.004000
Training Epoch: 6 [27392/46250]	Loss: 0.1207	LR: 0.004000
Training Epoch: 6 [27648/46250]	Loss: 0.1016	LR: 0.004000
Training Epoch: 6 [27904/46250]	Loss: 0.1104	LR: 0.004000
Training Epoch: 6 [28160/46250]	Loss: 0.1023	LR: 0.004000
Training Epoch: 6 [28416/46250]	Loss: 0.1330	LR: 0.004000
Training Epoch: 6 [28672/46250]	Loss: 0.1557	LR: 0.004000
Training Epoch: 6 [28928/46250]	Loss: 0.1021	LR: 0.004000
Training Epoch: 6 [29184/46250]	Loss: 0.0796	LR: 0.004000
Training Epoch: 6 [29440/46250]	Loss: 0.1434	LR: 0.004000
Training Epoch: 6 [29696/46250]	Loss: 0.1258	LR: 0.004000
Training Epoch: 6 [29952/46250]	Loss: 0.1007	LR: 0.004000
Training Epoch: 6 [30208/46250]	Loss: 0.1852	LR: 0.004000
Training Epoch: 6 [30464/46250]	Loss: 0.1307	LR: 0.004000
Training Epoch: 6 [30720/46250]	Loss: 0.0954	LR: 0.004000
Training Epoch: 6 [30976/46250]	Loss: 0.1527	LR: 0.004000
Training Epoch: 6 [31232/46250]	Loss: 0.1429	LR: 0.004000
Training Epoch: 6 [31488/46250]	Loss: 0.1024	LR: 0.004000
Training Epoch: 6 [31744/46250]	Loss: 0.1387	LR: 0.004000
Training Epoch: 6 [32000/46250]	Loss: 0.1523	LR: 0.004000
Training Epoch: 6 [32256/46250]	Loss: 0.1223	LR: 0.004000
Training Epoch: 6 [32512/46250]	Loss: 0.1026	LR: 0.004000
Training Epoch: 6 [32768/46250]	Loss: 0.1272	LR: 0.004000
Training Epoch: 6 [33024/46250]	Loss: 0.1279	LR: 0.004000
Training Epoch: 6 [33280/46250]	Loss: 0.0955	LR: 0.004000
Training Epoch: 6 [33536/46250]	Loss: 0.1168	LR: 0.004000
Training Epoch: 6 [33792/46250]	Loss: 0.1278	LR: 0.004000
Training Epoch: 6 [34048/46250]	Loss: 0.1024	LR: 0.004000
Training Epoch: 6 [34304/46250]	Loss: 0.1037	LR: 0.004000
Training Epoch: 6 [34560/46250]	Loss: 0.0893	LR: 0.004000
Training Epoch: 6 [34816/46250]	Loss: 0.1462	LR: 0.004000
Training Epoch: 6 [35072/46250]	Loss: 0.1145	LR: 0.004000
Training Epoch: 6 [35328/46250]	Loss: 0.1031	LR: 0.004000
Training Epoch: 6 [35584/46250]	Loss: 0.1028	LR: 0.004000
Training Epoch: 6 [35840/46250]	Loss: 0.0866	LR: 0.004000
Training Epoch: 6 [36096/46250]	Loss: 0.0941	LR: 0.004000
Training Epoch: 6 [36352/46250]	Loss: 0.1195	LR: 0.004000
Training Epoch: 6 [36608/46250]	Loss: 0.1556	LR: 0.004000
Training Epoch: 6 [36864/46250]	Loss: 0.1047	LR: 0.004000
Training Epoch: 6 [37120/46250]	Loss: 0.1102	LR: 0.004000
Training Epoch: 6 [37376/46250]	Loss: 0.1707	LR: 0.004000
Training Epoch: 6 [37632/46250]	Loss: 0.1323	LR: 0.004000
Training Epoch: 6 [37888/46250]	Loss: 0.1078	LR: 0.004000
Training Epoch: 6 [38144/46250]	Loss: 0.0776	LR: 0.004000
Training Epoch: 6 [38400/46250]	Loss: 0.1300	LR: 0.004000
Training Epoch: 6 [38656/46250]	Loss: 0.0931	LR: 0.004000
Training Epoch: 6 [38912/46250]	Loss: 0.1069	LR: 0.004000
Training Epoch: 6 [39168/46250]	Loss: 0.0825	LR: 0.004000
Training Epoch: 6 [39424/46250]	Loss: 0.0913	LR: 0.004000
Training Epoch: 6 [39680/46250]	Loss: 0.1481	LR: 0.004000
Training Epoch: 6 [39936/46250]	Loss: 0.0762	LR: 0.004000
Training Epoch: 6 [40192/46250]	Loss: 0.1065	LR: 0.004000
Training Epoch: 6 [40448/46250]	Loss: 0.1653	LR: 0.004000
Training Epoch: 6 [40704/46250]	Loss: 0.1182	LR: 0.004000
Training Epoch: 6 [40960/46250]	Loss: 0.0874	LR: 0.004000
Training Epoch: 6 [41216/46250]	Loss: 0.1228	LR: 0.004000
Training Epoch: 6 [41472/46250]	Loss: 0.1089	LR: 0.004000
Training Epoch: 6 [41728/46250]	Loss: 0.1066	LR: 0.004000
Training Epoch: 6 [41984/46250]	Loss: 0.0960	LR: 0.004000
Training Epoch: 6 [42240/46250]	Loss: 0.1248	LR: 0.004000
Training Epoch: 6 [42496/46250]	Loss: 0.1119	LR: 0.004000
Training Epoch: 6 [42752/46250]	Loss: 0.1119	LR: 0.004000
Training Epoch: 6 [43008/46250]	Loss: 0.1054	LR: 0.004000
Training Epoch: 6 [43264/46250]	Loss: 0.0701	LR: 0.004000
Training Epoch: 6 [43520/46250]	Loss: 0.0868	LR: 0.004000
Training Epoch: 6 [43776/46250]	Loss: 0.1105	LR: 0.004000
Training Epoch: 6 [44032/46250]	Loss: 0.1133	LR: 0.004000
Training Epoch: 6 [44288/46250]	Loss: 0.1282	LR: 0.004000
Training Epoch: 6 [44544/46250]	Loss: 0.1308	LR: 0.004000
Training Epoch: 6 [44800/46250]	Loss: 0.1277	LR: 0.004000
Training Epoch: 6 [45056/46250]	Loss: 0.1347	LR: 0.004000
Training Epoch: 6 [45312/46250]	Loss: 0.0667	LR: 0.004000
Training Epoch: 6 [45568/46250]	Loss: 0.0946	LR: 0.004000
Training Epoch: 6 [45824/46250]	Loss: 0.1105	LR: 0.004000
Training Epoch: 6 [46080/46250]	Loss: 0.1388	LR: 0.004000
Training Epoch: 6 [46250/46250]	Loss: 0.1269	LR: 0.004000
Epoch 6 - Average Train Loss: 0.1166, Train Accuracy: 0.9677
Epoch 6 training time consumed: 17.85s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0024, Accuracy: 0.8177, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_13h_32m_15s/ResNet18-Cifar10-seed9-ret25-6-best.pth
Training Epoch: 7 [256/46250]	Loss: 0.0801	LR: 0.004000
Training Epoch: 7 [512/46250]	Loss: 0.0692	LR: 0.004000
Training Epoch: 7 [768/46250]	Loss: 0.0808	LR: 0.004000
Training Epoch: 7 [1024/46250]	Loss: 0.0557	LR: 0.004000
Training Epoch: 7 [1280/46250]	Loss: 0.0673	LR: 0.004000
Training Epoch: 7 [1536/46250]	Loss: 0.0494	LR: 0.004000
Training Epoch: 7 [1792/46250]	Loss: 0.0576	LR: 0.004000
Training Epoch: 7 [2048/46250]	Loss: 0.0569	LR: 0.004000
Training Epoch: 7 [2304/46250]	Loss: 0.0723	LR: 0.004000
Training Epoch: 7 [2560/46250]	Loss: 0.0645	LR: 0.004000
Training Epoch: 7 [2816/46250]	Loss: 0.0879	LR: 0.004000
Training Epoch: 7 [3072/46250]	Loss: 0.0455	LR: 0.004000
Training Epoch: 7 [3328/46250]	Loss: 0.0697	LR: 0.004000
Training Epoch: 7 [3584/46250]	Loss: 0.0581	LR: 0.004000
Training Epoch: 7 [3840/46250]	Loss: 0.0500	LR: 0.004000
Training Epoch: 7 [4096/46250]	Loss: 0.0759	LR: 0.004000
Training Epoch: 7 [4352/46250]	Loss: 0.0642	LR: 0.004000
Training Epoch: 7 [4608/46250]	Loss: 0.0790	LR: 0.004000
Training Epoch: 7 [4864/46250]	Loss: 0.0521	LR: 0.004000
Training Epoch: 7 [5120/46250]	Loss: 0.0846	LR: 0.004000
Training Epoch: 7 [5376/46250]	Loss: 0.0579	LR: 0.004000
Training Epoch: 7 [5632/46250]	Loss: 0.0835	LR: 0.004000
Training Epoch: 7 [5888/46250]	Loss: 0.0588	LR: 0.004000
Training Epoch: 7 [6144/46250]	Loss: 0.0506	LR: 0.004000
Training Epoch: 7 [6400/46250]	Loss: 0.0488	LR: 0.004000
Training Epoch: 7 [6656/46250]	Loss: 0.0498	LR: 0.004000
Training Epoch: 7 [6912/46250]	Loss: 0.0502	LR: 0.004000
Training Epoch: 7 [7168/46250]	Loss: 0.0611	LR: 0.004000
Training Epoch: 7 [7424/46250]	Loss: 0.0409	LR: 0.004000
Training Epoch: 7 [7680/46250]	Loss: 0.0677	LR: 0.004000
Training Epoch: 7 [7936/46250]	Loss: 0.0630	LR: 0.004000
Training Epoch: 7 [8192/46250]	Loss: 0.0463	LR: 0.004000
Training Epoch: 7 [8448/46250]	Loss: 0.0645	LR: 0.004000
Training Epoch: 7 [8704/46250]	Loss: 0.0792	LR: 0.004000
Training Epoch: 7 [8960/46250]	Loss: 0.0554	LR: 0.004000
Training Epoch: 7 [9216/46250]	Loss: 0.0509	LR: 0.004000
Training Epoch: 7 [9472/46250]	Loss: 0.0629	LR: 0.004000
Training Epoch: 7 [9728/46250]	Loss: 0.0708	LR: 0.004000
Training Epoch: 7 [9984/46250]	Loss: 0.0612	LR: 0.004000
Training Epoch: 7 [10240/46250]	Loss: 0.0553	LR: 0.004000
Training Epoch: 7 [10496/46250]	Loss: 0.0687	LR: 0.004000
Training Epoch: 7 [10752/46250]	Loss: 0.0330	LR: 0.004000
Training Epoch: 7 [11008/46250]	Loss: 0.0655	LR: 0.004000
Training Epoch: 7 [11264/46250]	Loss: 0.0773	LR: 0.004000
Training Epoch: 7 [11520/46250]	Loss: 0.0676	LR: 0.004000
Training Epoch: 7 [11776/46250]	Loss: 0.0693	LR: 0.004000
Training Epoch: 7 [12032/46250]	Loss: 0.0635	LR: 0.004000
Training Epoch: 7 [12288/46250]	Loss: 0.0665	LR: 0.004000
Training Epoch: 7 [12544/46250]	Loss: 0.0353	LR: 0.004000
Training Epoch: 7 [12800/46250]	Loss: 0.0923	LR: 0.004000
Training Epoch: 7 [13056/46250]	Loss: 0.0601	LR: 0.004000
Training Epoch: 7 [13312/46250]	Loss: 0.0543	LR: 0.004000
Training Epoch: 7 [13568/46250]	Loss: 0.0504	LR: 0.004000
Training Epoch: 7 [13824/46250]	Loss: 0.0661	LR: 0.004000
Training Epoch: 7 [14080/46250]	Loss: 0.0483	LR: 0.004000
Training Epoch: 7 [14336/46250]	Loss: 0.0847	LR: 0.004000
Training Epoch: 7 [14592/46250]	Loss: 0.0838	LR: 0.004000
Training Epoch: 7 [14848/46250]	Loss: 0.0403	LR: 0.004000
Training Epoch: 7 [15104/46250]	Loss: 0.0622	LR: 0.004000
Training Epoch: 7 [15360/46250]	Loss: 0.0554	LR: 0.004000
Training Epoch: 7 [15616/46250]	Loss: 0.0430	LR: 0.004000
Training Epoch: 7 [15872/46250]	Loss: 0.0639	LR: 0.004000
Training Epoch: 7 [16128/46250]	Loss: 0.0719	LR: 0.004000
Training Epoch: 7 [16384/46250]	Loss: 0.0609	LR: 0.004000
Training Epoch: 7 [16640/46250]	Loss: 0.0525	LR: 0.004000
Training Epoch: 7 [16896/46250]	Loss: 0.0517	LR: 0.004000
Training Epoch: 7 [17152/46250]	Loss: 0.0446	LR: 0.004000
Training Epoch: 7 [17408/46250]	Loss: 0.0566	LR: 0.004000
Training Epoch: 7 [17664/46250]	Loss: 0.0570	LR: 0.004000
Training Epoch: 7 [17920/46250]	Loss: 0.0724	LR: 0.004000
Training Epoch: 7 [18176/46250]	Loss: 0.0547	LR: 0.004000
Training Epoch: 7 [18432/46250]	Loss: 0.0596	LR: 0.004000
Training Epoch: 7 [18688/46250]	Loss: 0.0715	LR: 0.004000
Training Epoch: 7 [18944/46250]	Loss: 0.0665	LR: 0.004000
Training Epoch: 7 [19200/46250]	Loss: 0.0461	LR: 0.004000
Training Epoch: 7 [19456/46250]	Loss: 0.0573	LR: 0.004000
Training Epoch: 7 [19712/46250]	Loss: 0.0495	LR: 0.004000
Training Epoch: 7 [19968/46250]	Loss: 0.0474	LR: 0.004000
Training Epoch: 7 [20224/46250]	Loss: 0.0534	LR: 0.004000
Training Epoch: 7 [20480/46250]	Loss: 0.0793	LR: 0.004000
Training Epoch: 7 [20736/46250]	Loss: 0.0457	LR: 0.004000
Training Epoch: 7 [20992/46250]	Loss: 0.0575	LR: 0.004000
Training Epoch: 7 [21248/46250]	Loss: 0.0548	LR: 0.004000
Training Epoch: 7 [21504/46250]	Loss: 0.0511	LR: 0.004000
Training Epoch: 7 [21760/46250]	Loss: 0.0512	LR: 0.004000
Training Epoch: 7 [22016/46250]	Loss: 0.0399	LR: 0.004000
Training Epoch: 7 [22272/46250]	Loss: 0.0458	LR: 0.004000
Training Epoch: 7 [22528/46250]	Loss: 0.0706	LR: 0.004000
Training Epoch: 7 [22784/46250]	Loss: 0.0541	LR: 0.004000
Training Epoch: 7 [23040/46250]	Loss: 0.0550	LR: 0.004000
Training Epoch: 7 [23296/46250]	Loss: 0.0439	LR: 0.004000
Training Epoch: 7 [23552/46250]	Loss: 0.0561	LR: 0.004000
Training Epoch: 7 [23808/46250]	Loss: 0.0466	LR: 0.004000
Training Epoch: 7 [24064/46250]	Loss: 0.0360	LR: 0.004000
Training Epoch: 7 [24320/46250]	Loss: 0.0733	LR: 0.004000
Training Epoch: 7 [24576/46250]	Loss: 0.0507	LR: 0.004000
Training Epoch: 7 [24832/46250]	Loss: 0.0853	LR: 0.004000
Training Epoch: 7 [25088/46250]	Loss: 0.0610	LR: 0.004000
Training Epoch: 7 [25344/46250]	Loss: 0.0685	LR: 0.004000
Training Epoch: 7 [25600/46250]	Loss: 0.0619	LR: 0.004000
Training Epoch: 7 [25856/46250]	Loss: 0.0519	LR: 0.004000
Training Epoch: 7 [26112/46250]	Loss: 0.0553	LR: 0.004000
Training Epoch: 7 [26368/46250]	Loss: 0.0499	LR: 0.004000
Training Epoch: 7 [26624/46250]	Loss: 0.0621	LR: 0.004000
Training Epoch: 7 [26880/46250]	Loss: 0.0530	LR: 0.004000
Training Epoch: 7 [27136/46250]	Loss: 0.0655	LR: 0.004000
Training Epoch: 7 [27392/46250]	Loss: 0.0557	LR: 0.004000
Training Epoch: 7 [27648/46250]	Loss: 0.0426	LR: 0.004000
Training Epoch: 7 [27904/46250]	Loss: 0.0780	LR: 0.004000
Training Epoch: 7 [28160/46250]	Loss: 0.0425	LR: 0.004000
Training Epoch: 7 [28416/46250]	Loss: 0.0743	LR: 0.004000
Training Epoch: 7 [28672/46250]	Loss: 0.0544	LR: 0.004000
Training Epoch: 7 [28928/46250]	Loss: 0.0509	LR: 0.004000
Training Epoch: 7 [29184/46250]	Loss: 0.0461	LR: 0.004000
Training Epoch: 7 [29440/46250]	Loss: 0.0783	LR: 0.004000
Training Epoch: 7 [29696/46250]	Loss: 0.0574	LR: 0.004000
Training Epoch: 7 [29952/46250]	Loss: 0.0536	LR: 0.004000
Training Epoch: 7 [30208/46250]	Loss: 0.0597	LR: 0.004000
Training Epoch: 7 [30464/46250]	Loss: 0.1068	LR: 0.004000
Training Epoch: 7 [30720/46250]	Loss: 0.0560	LR: 0.004000
Training Epoch: 7 [30976/46250]	Loss: 0.0612	LR: 0.004000
Training Epoch: 7 [31232/46250]	Loss: 0.0561	LR: 0.004000
Training Epoch: 7 [31488/46250]	Loss: 0.0358	LR: 0.004000
Training Epoch: 7 [31744/46250]	Loss: 0.0423	LR: 0.004000
Training Epoch: 7 [32000/46250]	Loss: 0.0635	LR: 0.004000
Training Epoch: 7 [32256/46250]	Loss: 0.0727	LR: 0.004000
Training Epoch: 7 [32512/46250]	Loss: 0.0471	LR: 0.004000
Training Epoch: 7 [32768/46250]	Loss: 0.0496	LR: 0.004000
Training Epoch: 7 [33024/46250]	Loss: 0.0634	LR: 0.004000
Training Epoch: 7 [33280/46250]	Loss: 0.0362	LR: 0.004000
Training Epoch: 7 [33536/46250]	Loss: 0.0948	LR: 0.004000
Training Epoch: 7 [33792/46250]	Loss: 0.0857	LR: 0.004000
Training Epoch: 7 [34048/46250]	Loss: 0.0618	LR: 0.004000
Training Epoch: 7 [34304/46250]	Loss: 0.0462	LR: 0.004000
Training Epoch: 7 [34560/46250]	Loss: 0.0406	LR: 0.004000
Training Epoch: 7 [34816/46250]	Loss: 0.0897	LR: 0.004000
Training Epoch: 7 [35072/46250]	Loss: 0.0352	LR: 0.004000
Training Epoch: 7 [35328/46250]	Loss: 0.0461	LR: 0.004000
Training Epoch: 7 [35584/46250]	Loss: 0.0530	LR: 0.004000
Training Epoch: 7 [35840/46250]	Loss: 0.0395	LR: 0.004000
Training Epoch: 7 [36096/46250]	Loss: 0.0570	LR: 0.004000
Training Epoch: 7 [36352/46250]	Loss: 0.0405	LR: 0.004000
Training Epoch: 7 [36608/46250]	Loss: 0.0437	LR: 0.004000
Training Epoch: 7 [36864/46250]	Loss: 0.0543	LR: 0.004000
Training Epoch: 7 [37120/46250]	Loss: 0.0830	LR: 0.004000
Training Epoch: 7 [37376/46250]	Loss: 0.0383	LR: 0.004000
Training Epoch: 7 [37632/46250]	Loss: 0.0503	LR: 0.004000
Training Epoch: 7 [37888/46250]	Loss: 0.0630	LR: 0.004000
Training Epoch: 7 [38144/46250]	Loss: 0.0557	LR: 0.004000
Training Epoch: 7 [38400/46250]	Loss: 0.0600	LR: 0.004000
Training Epoch: 7 [38656/46250]	Loss: 0.1033	LR: 0.004000
Training Epoch: 7 [38912/46250]	Loss: 0.0724	LR: 0.004000
Training Epoch: 7 [39168/46250]	Loss: 0.0387	LR: 0.004000
Training Epoch: 7 [39424/46250]	Loss: 0.0359	LR: 0.004000
Training Epoch: 7 [39680/46250]	Loss: 0.0435	LR: 0.004000
Training Epoch: 7 [39936/46250]	Loss: 0.0589	LR: 0.004000
Training Epoch: 7 [40192/46250]	Loss: 0.0795	LR: 0.004000
Training Epoch: 7 [40448/46250]	Loss: 0.0561	LR: 0.004000
Training Epoch: 7 [40704/46250]	Loss: 0.0664	LR: 0.004000
Training Epoch: 7 [40960/46250]	Loss: 0.0411	LR: 0.004000
Training Epoch: 7 [41216/46250]	Loss: 0.0432	LR: 0.004000
Training Epoch: 7 [41472/46250]	Loss: 0.0613	LR: 0.004000
Training Epoch: 7 [41728/46250]	Loss: 0.0516	LR: 0.004000
Training Epoch: 7 [41984/46250]	Loss: 0.0813	LR: 0.004000
Training Epoch: 7 [42240/46250]	Loss: 0.0552	LR: 0.004000
Training Epoch: 7 [42496/46250]	Loss: 0.0334	LR: 0.004000
Training Epoch: 7 [42752/46250]	Loss: 0.0740	LR: 0.004000
Training Epoch: 7 [43008/46250]	Loss: 0.0542	LR: 0.004000
Training Epoch: 7 [43264/46250]	Loss: 0.0795	LR: 0.004000
Training Epoch: 7 [43520/46250]	Loss: 0.0446	LR: 0.004000
Training Epoch: 7 [43776/46250]	Loss: 0.1101	LR: 0.004000
Training Epoch: 7 [44032/46250]	Loss: 0.0411	LR: 0.004000
Training Epoch: 7 [44288/46250]	Loss: 0.0418	LR: 0.004000
Training Epoch: 7 [44544/46250]	Loss: 0.0433	LR: 0.004000
Training Epoch: 7 [44800/46250]	Loss: 0.0784	LR: 0.004000
Training Epoch: 7 [45056/46250]	Loss: 0.0670	LR: 0.004000
Training Epoch: 7 [45312/46250]	Loss: 0.0557	LR: 0.004000
Training Epoch: 7 [45568/46250]	Loss: 0.0468	LR: 0.004000
Training Epoch: 7 [45824/46250]	Loss: 0.0560	LR: 0.004000
Training Epoch: 7 [46080/46250]	Loss: 0.0618	LR: 0.004000
Training Epoch: 7 [46250/46250]	Loss: 0.1227	LR: 0.004000
Epoch 7 - Average Train Loss: 0.0594, Train Accuracy: 0.9880
Epoch 7 training time consumed: 18.10s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0025, Accuracy: 0.8196, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_13h_32m_15s/ResNet18-Cifar10-seed9-ret25-7-best.pth
Training Epoch: 8 [256/46250]	Loss: 0.0246	LR: 0.004000
Training Epoch: 8 [512/46250]	Loss: 0.0235	LR: 0.004000
Training Epoch: 8 [768/46250]	Loss: 0.0356	LR: 0.004000
Training Epoch: 8 [1024/46250]	Loss: 0.0362	LR: 0.004000
Training Epoch: 8 [1280/46250]	Loss: 0.0298	LR: 0.004000
Training Epoch: 8 [1536/46250]	Loss: 0.0427	LR: 0.004000
Training Epoch: 8 [1792/46250]	Loss: 0.0315	LR: 0.004000
Training Epoch: 8 [2048/46250]	Loss: 0.0318	LR: 0.004000
Training Epoch: 8 [2304/46250]	Loss: 0.0331	LR: 0.004000
Training Epoch: 8 [2560/46250]	Loss: 0.0352	LR: 0.004000
Training Epoch: 8 [2816/46250]	Loss: 0.0392	LR: 0.004000
Training Epoch: 8 [3072/46250]	Loss: 0.0313	LR: 0.004000
Training Epoch: 8 [3328/46250]	Loss: 0.0280	LR: 0.004000
Training Epoch: 8 [3584/46250]	Loss: 0.0271	LR: 0.004000
Training Epoch: 8 [3840/46250]	Loss: 0.0268	LR: 0.004000
Training Epoch: 8 [4096/46250]	Loss: 0.0254	LR: 0.004000
Training Epoch: 8 [4352/46250]	Loss: 0.0234	LR: 0.004000
Training Epoch: 8 [4608/46250]	Loss: 0.0287	LR: 0.004000
Training Epoch: 8 [4864/46250]	Loss: 0.0287	LR: 0.004000
Training Epoch: 8 [5120/46250]	Loss: 0.0215	LR: 0.004000
Training Epoch: 8 [5376/46250]	Loss: 0.0359	LR: 0.004000
Training Epoch: 8 [5632/46250]	Loss: 0.0257	LR: 0.004000
Training Epoch: 8 [5888/46250]	Loss: 0.0213	LR: 0.004000
Training Epoch: 8 [6144/46250]	Loss: 0.0290	LR: 0.004000
Training Epoch: 8 [6400/46250]	Loss: 0.0299	LR: 0.004000
Training Epoch: 8 [6656/46250]	Loss: 0.0296	LR: 0.004000
Training Epoch: 8 [6912/46250]	Loss: 0.0259	LR: 0.004000
Training Epoch: 8 [7168/46250]	Loss: 0.0267	LR: 0.004000
Training Epoch: 8 [7424/46250]	Loss: 0.0314	LR: 0.004000
Training Epoch: 8 [7680/46250]	Loss: 0.0191	LR: 0.004000
Training Epoch: 8 [7936/46250]	Loss: 0.0197	LR: 0.004000
Training Epoch: 8 [8192/46250]	Loss: 0.0311	LR: 0.004000
Training Epoch: 8 [8448/46250]	Loss: 0.0355	LR: 0.004000
Training Epoch: 8 [8704/46250]	Loss: 0.0220	LR: 0.004000
Training Epoch: 8 [8960/46250]	Loss: 0.0416	LR: 0.004000
Training Epoch: 8 [9216/46250]	Loss: 0.0217	LR: 0.004000
Training Epoch: 8 [9472/46250]	Loss: 0.0317	LR: 0.004000
Training Epoch: 8 [9728/46250]	Loss: 0.0160	LR: 0.004000
Training Epoch: 8 [9984/46250]	Loss: 0.0174	LR: 0.004000
Training Epoch: 8 [10240/46250]	Loss: 0.0187	LR: 0.004000
Training Epoch: 8 [10496/46250]	Loss: 0.0352	LR: 0.004000
Training Epoch: 8 [10752/46250]	Loss: 0.0247	LR: 0.004000
Training Epoch: 8 [11008/46250]	Loss: 0.0247	LR: 0.004000
Training Epoch: 8 [11264/46250]	Loss: 0.0443	LR: 0.004000
Training Epoch: 8 [11520/46250]	Loss: 0.0223	LR: 0.004000
Training Epoch: 8 [11776/46250]	Loss: 0.0192	LR: 0.004000
Training Epoch: 8 [12032/46250]	Loss: 0.0431	LR: 0.004000
Training Epoch: 8 [12288/46250]	Loss: 0.0272	LR: 0.004000
Training Epoch: 8 [12544/46250]	Loss: 0.0221	LR: 0.004000
Training Epoch: 8 [12800/46250]	Loss: 0.0194	LR: 0.004000
Training Epoch: 8 [13056/46250]	Loss: 0.0220	LR: 0.004000
Training Epoch: 8 [13312/46250]	Loss: 0.0226	LR: 0.004000
Training Epoch: 8 [13568/46250]	Loss: 0.0224	LR: 0.004000
Training Epoch: 8 [13824/46250]	Loss: 0.0185	LR: 0.004000
Training Epoch: 8 [14080/46250]	Loss: 0.0267	LR: 0.004000
Training Epoch: 8 [14336/46250]	Loss: 0.0201	LR: 0.004000
Training Epoch: 8 [14592/46250]	Loss: 0.0189	LR: 0.004000
Training Epoch: 8 [14848/46250]	Loss: 0.0369	LR: 0.004000
Training Epoch: 8 [15104/46250]	Loss: 0.0219	LR: 0.004000
Training Epoch: 8 [15360/46250]	Loss: 0.0222	LR: 0.004000
Training Epoch: 8 [15616/46250]	Loss: 0.0304	LR: 0.004000
Training Epoch: 8 [15872/46250]	Loss: 0.0207	LR: 0.004000
Training Epoch: 8 [16128/46250]	Loss: 0.0254	LR: 0.004000
Training Epoch: 8 [16384/46250]	Loss: 0.0353	LR: 0.004000
Training Epoch: 8 [16640/46250]	Loss: 0.0231	LR: 0.004000
Training Epoch: 8 [16896/46250]	Loss: 0.0229	LR: 0.004000
Training Epoch: 8 [17152/46250]	Loss: 0.0165	LR: 0.004000
Training Epoch: 8 [17408/46250]	Loss: 0.0290	LR: 0.004000
Training Epoch: 8 [17664/46250]	Loss: 0.0262	LR: 0.004000
Training Epoch: 8 [17920/46250]	Loss: 0.0158	LR: 0.004000
Training Epoch: 8 [18176/46250]	Loss: 0.0348	LR: 0.004000
Training Epoch: 8 [18432/46250]	Loss: 0.0257	LR: 0.004000
Training Epoch: 8 [18688/46250]	Loss: 0.0229	LR: 0.004000
Training Epoch: 8 [18944/46250]	Loss: 0.0265	LR: 0.004000
Training Epoch: 8 [19200/46250]	Loss: 0.0158	LR: 0.004000
Training Epoch: 8 [19456/46250]	Loss: 0.0425	LR: 0.004000
Training Epoch: 8 [19712/46250]	Loss: 0.0189	LR: 0.004000
Training Epoch: 8 [19968/46250]	Loss: 0.0220	LR: 0.004000
Training Epoch: 8 [20224/46250]	Loss: 0.0208	LR: 0.004000
Training Epoch: 8 [20480/46250]	Loss: 0.0268	LR: 0.004000
Training Epoch: 8 [20736/46250]	Loss: 0.0267	LR: 0.004000
Training Epoch: 8 [20992/46250]	Loss: 0.0319	LR: 0.004000
Training Epoch: 8 [21248/46250]	Loss: 0.0280	LR: 0.004000
Training Epoch: 8 [21504/46250]	Loss: 0.0359	LR: 0.004000
Training Epoch: 8 [21760/46250]	Loss: 0.0241	LR: 0.004000
Training Epoch: 8 [22016/46250]	Loss: 0.0220	LR: 0.004000
Training Epoch: 8 [22272/46250]	Loss: 0.0268	LR: 0.004000
Training Epoch: 8 [22528/46250]	Loss: 0.0477	LR: 0.004000
Training Epoch: 8 [22784/46250]	Loss: 0.0151	LR: 0.004000
Training Epoch: 8 [23040/46250]	Loss: 0.0200	LR: 0.004000
Training Epoch: 8 [23296/46250]	Loss: 0.0409	LR: 0.004000
Training Epoch: 8 [23552/46250]	Loss: 0.0301	LR: 0.004000
Training Epoch: 8 [23808/46250]	Loss: 0.0175	LR: 0.004000
Training Epoch: 8 [24064/46250]	Loss: 0.0264	LR: 0.004000
Training Epoch: 8 [24320/46250]	Loss: 0.0282	LR: 0.004000
Training Epoch: 8 [24576/46250]	Loss: 0.0217	LR: 0.004000
Training Epoch: 8 [24832/46250]	Loss: 0.0312	LR: 0.004000
Training Epoch: 8 [25088/46250]	Loss: 0.0352	LR: 0.004000
Training Epoch: 8 [25344/46250]	Loss: 0.0276	LR: 0.004000
Training Epoch: 8 [25600/46250]	Loss: 0.0210	LR: 0.004000
Training Epoch: 8 [25856/46250]	Loss: 0.0229	LR: 0.004000
Training Epoch: 8 [26112/46250]	Loss: 0.0165	LR: 0.004000
Training Epoch: 8 [26368/46250]	Loss: 0.0207	LR: 0.004000
Training Epoch: 8 [26624/46250]	Loss: 0.0240	LR: 0.004000
Training Epoch: 8 [26880/46250]	Loss: 0.0257	LR: 0.004000
Training Epoch: 8 [27136/46250]	Loss: 0.0218	LR: 0.004000
Training Epoch: 8 [27392/46250]	Loss: 0.0185	LR: 0.004000
Training Epoch: 8 [27648/46250]	Loss: 0.0212	LR: 0.004000
Training Epoch: 8 [27904/46250]	Loss: 0.0173	LR: 0.004000
Training Epoch: 8 [28160/46250]	Loss: 0.0206	LR: 0.004000
Training Epoch: 8 [28416/46250]	Loss: 0.0176	LR: 0.004000
Training Epoch: 8 [28672/46250]	Loss: 0.0180	LR: 0.004000
Training Epoch: 8 [28928/46250]	Loss: 0.0214	LR: 0.004000
Training Epoch: 8 [29184/46250]	Loss: 0.0272	LR: 0.004000
Training Epoch: 8 [29440/46250]	Loss: 0.0217	LR: 0.004000
Training Epoch: 8 [29696/46250]	Loss: 0.0248	LR: 0.004000
Training Epoch: 8 [29952/46250]	Loss: 0.0230	LR: 0.004000
Training Epoch: 8 [30208/46250]	Loss: 0.0263	LR: 0.004000
Training Epoch: 8 [30464/46250]	Loss: 0.0274	LR: 0.004000
Training Epoch: 8 [30720/46250]	Loss: 0.0255	LR: 0.004000
Training Epoch: 8 [30976/46250]	Loss: 0.0252	LR: 0.004000
Training Epoch: 8 [31232/46250]	Loss: 0.0295	LR: 0.004000
Training Epoch: 8 [31488/46250]	Loss: 0.0176	LR: 0.004000
Training Epoch: 8 [31744/46250]	Loss: 0.0200	LR: 0.004000
Training Epoch: 8 [32000/46250]	Loss: 0.0274	LR: 0.004000
Training Epoch: 8 [32256/46250]	Loss: 0.0248	LR: 0.004000
Training Epoch: 8 [32512/46250]	Loss: 0.0260	LR: 0.004000
Training Epoch: 8 [32768/46250]	Loss: 0.0221	LR: 0.004000
Training Epoch: 8 [33024/46250]	Loss: 0.0258	LR: 0.004000
Training Epoch: 8 [33280/46250]	Loss: 0.0339	LR: 0.004000
Training Epoch: 8 [33536/46250]	Loss: 0.0199	LR: 0.004000
Training Epoch: 8 [33792/46250]	Loss: 0.0161	LR: 0.004000
Training Epoch: 8 [34048/46250]	Loss: 0.0382	LR: 0.004000
Training Epoch: 8 [34304/46250]	Loss: 0.0181	LR: 0.004000
Training Epoch: 8 [34560/46250]	Loss: 0.0161	LR: 0.004000
Training Epoch: 8 [34816/46250]	Loss: 0.0484	LR: 0.004000
Training Epoch: 8 [35072/46250]	Loss: 0.0171	LR: 0.004000
Training Epoch: 8 [35328/46250]	Loss: 0.0257	LR: 0.004000
Training Epoch: 8 [35584/46250]	Loss: 0.0230	LR: 0.004000
Training Epoch: 8 [35840/46250]	Loss: 0.0190	LR: 0.004000
Training Epoch: 8 [36096/46250]	Loss: 0.0237	LR: 0.004000
Training Epoch: 8 [36352/46250]	Loss: 0.0321	LR: 0.004000
Training Epoch: 8 [36608/46250]	Loss: 0.0254	LR: 0.004000
Training Epoch: 8 [36864/46250]	Loss: 0.0142	LR: 0.004000
Training Epoch: 8 [37120/46250]	Loss: 0.0187	LR: 0.004000
Training Epoch: 8 [37376/46250]	Loss: 0.0216	LR: 0.004000
Training Epoch: 8 [37632/46250]	Loss: 0.0221	LR: 0.004000
Training Epoch: 8 [37888/46250]	Loss: 0.0181	LR: 0.004000
Training Epoch: 8 [38144/46250]	Loss: 0.0361	LR: 0.004000
Training Epoch: 8 [38400/46250]	Loss: 0.0220	LR: 0.004000
Training Epoch: 8 [38656/46250]	Loss: 0.0242	LR: 0.004000
Training Epoch: 8 [38912/46250]	Loss: 0.0266	LR: 0.004000
Training Epoch: 8 [39168/46250]	Loss: 0.0197	LR: 0.004000
Training Epoch: 8 [39424/46250]	Loss: 0.0198	LR: 0.004000
Training Epoch: 8 [39680/46250]	Loss: 0.0272	LR: 0.004000
Training Epoch: 8 [39936/46250]	Loss: 0.0203	LR: 0.004000
Training Epoch: 8 [40192/46250]	Loss: 0.0371	LR: 0.004000
Training Epoch: 8 [40448/46250]	Loss: 0.0311	LR: 0.004000
Training Epoch: 8 [40704/46250]	Loss: 0.0225	LR: 0.004000
Training Epoch: 8 [40960/46250]	Loss: 0.0191	LR: 0.004000
Training Epoch: 8 [41216/46250]	Loss: 0.0165	LR: 0.004000
Training Epoch: 8 [41472/46250]	Loss: 0.0314	LR: 0.004000
Training Epoch: 8 [41728/46250]	Loss: 0.0168	LR: 0.004000
Training Epoch: 8 [41984/46250]	Loss: 0.0202	LR: 0.004000
Training Epoch: 8 [42240/46250]	Loss: 0.0238	LR: 0.004000
Training Epoch: 8 [42496/46250]	Loss: 0.0226	LR: 0.004000
Training Epoch: 8 [42752/46250]	Loss: 0.0190	LR: 0.004000
Training Epoch: 8 [43008/46250]	Loss: 0.0173	LR: 0.004000
Training Epoch: 8 [43264/46250]	Loss: 0.0261	LR: 0.004000
Training Epoch: 8 [43520/46250]	Loss: 0.0405	LR: 0.004000
Training Epoch: 8 [43776/46250]	Loss: 0.0219	LR: 0.004000
Training Epoch: 8 [44032/46250]	Loss: 0.0127	LR: 0.004000
Training Epoch: 8 [44288/46250]	Loss: 0.0183	LR: 0.004000
Training Epoch: 8 [44544/46250]	Loss: 0.0264	LR: 0.004000
Training Epoch: 8 [44800/46250]	Loss: 0.0347	LR: 0.004000
Training Epoch: 8 [45056/46250]	Loss: 0.0234	LR: 0.004000
Training Epoch: 8 [45312/46250]	Loss: 0.0195	LR: 0.004000
Training Epoch: 8 [45568/46250]	Loss: 0.0167	LR: 0.004000
Training Epoch: 8 [45824/46250]	Loss: 0.0154	LR: 0.004000
Training Epoch: 8 [46080/46250]	Loss: 0.0335	LR: 0.004000
Training Epoch: 8 [46250/46250]	Loss: 0.0155	LR: 0.004000
Epoch 8 - Average Train Loss: 0.0254, Train Accuracy: 0.9975
Epoch 8 training time consumed: 18.20s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0027, Accuracy: 0.8196, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_13h_32m_15s/ResNet18-Cifar10-seed9-ret25-8-best.pth
Training Epoch: 9 [256/46250]	Loss: 0.0126	LR: 0.000800
Training Epoch: 9 [512/46250]	Loss: 0.0157	LR: 0.000800
Training Epoch: 9 [768/46250]	Loss: 0.0118	LR: 0.000800
Training Epoch: 9 [1024/46250]	Loss: 0.0120	LR: 0.000800
Training Epoch: 9 [1280/46250]	Loss: 0.0142	LR: 0.000800
Training Epoch: 9 [1536/46250]	Loss: 0.0164	LR: 0.000800
Training Epoch: 9 [1792/46250]	Loss: 0.0165	LR: 0.000800
Training Epoch: 9 [2048/46250]	Loss: 0.0164	LR: 0.000800
Training Epoch: 9 [2304/46250]	Loss: 0.0165	LR: 0.000800
Training Epoch: 9 [2560/46250]	Loss: 0.0176	LR: 0.000800
Training Epoch: 9 [2816/46250]	Loss: 0.0156	LR: 0.000800
Training Epoch: 9 [3072/46250]	Loss: 0.0129	LR: 0.000800
Training Epoch: 9 [3328/46250]	Loss: 0.0094	LR: 0.000800
Training Epoch: 9 [3584/46250]	Loss: 0.0193	LR: 0.000800
Training Epoch: 9 [3840/46250]	Loss: 0.0091	LR: 0.000800
Training Epoch: 9 [4096/46250]	Loss: 0.0120	LR: 0.000800
Training Epoch: 9 [4352/46250]	Loss: 0.0116	LR: 0.000800
Training Epoch: 9 [4608/46250]	Loss: 0.0144	LR: 0.000800
Training Epoch: 9 [4864/46250]	Loss: 0.0128	LR: 0.000800
Training Epoch: 9 [5120/46250]	Loss: 0.0147	LR: 0.000800
Training Epoch: 9 [5376/46250]	Loss: 0.0162	LR: 0.000800
Training Epoch: 9 [5632/46250]	Loss: 0.0103	LR: 0.000800
Training Epoch: 9 [5888/46250]	Loss: 0.0110	LR: 0.000800
Training Epoch: 9 [6144/46250]	Loss: 0.0142	LR: 0.000800
Training Epoch: 9 [6400/46250]	Loss: 0.0098	LR: 0.000800
Training Epoch: 9 [6656/46250]	Loss: 0.0131	LR: 0.000800
Training Epoch: 9 [6912/46250]	Loss: 0.0149	LR: 0.000800
Training Epoch: 9 [7168/46250]	Loss: 0.0144	LR: 0.000800
Training Epoch: 9 [7424/46250]	Loss: 0.0116	LR: 0.000800
Training Epoch: 9 [7680/46250]	Loss: 0.0136	LR: 0.000800
Training Epoch: 9 [7936/46250]	Loss: 0.0120	LR: 0.000800
Training Epoch: 9 [8192/46250]	Loss: 0.0116	LR: 0.000800
Training Epoch: 9 [8448/46250]	Loss: 0.0134	LR: 0.000800
Training Epoch: 9 [8704/46250]	Loss: 0.0099	LR: 0.000800
Training Epoch: 9 [8960/46250]	Loss: 0.0131	LR: 0.000800
Training Epoch: 9 [9216/46250]	Loss: 0.0105	LR: 0.000800
Training Epoch: 9 [9472/46250]	Loss: 0.0155	LR: 0.000800
Training Epoch: 9 [9728/46250]	Loss: 0.0122	LR: 0.000800
Training Epoch: 9 [9984/46250]	Loss: 0.0154	LR: 0.000800
Training Epoch: 9 [10240/46250]	Loss: 0.0118	LR: 0.000800
Training Epoch: 9 [10496/46250]	Loss: 0.0129	LR: 0.000800
Training Epoch: 9 [10752/46250]	Loss: 0.0100	LR: 0.000800
Training Epoch: 9 [11008/46250]	Loss: 0.0157	LR: 0.000800
Training Epoch: 9 [11264/46250]	Loss: 0.0099	LR: 0.000800
Training Epoch: 9 [11520/46250]	Loss: 0.0166	LR: 0.000800
Training Epoch: 9 [11776/46250]	Loss: 0.0101	LR: 0.000800
Training Epoch: 9 [12032/46250]	Loss: 0.0088	LR: 0.000800
Training Epoch: 9 [12288/46250]	Loss: 0.0077	LR: 0.000800
Training Epoch: 9 [12544/46250]	Loss: 0.0267	LR: 0.000800
Training Epoch: 9 [12800/46250]	Loss: 0.0119	LR: 0.000800
Training Epoch: 9 [13056/46250]	Loss: 0.0105	LR: 0.000800
Training Epoch: 9 [13312/46250]	Loss: 0.0135	LR: 0.000800
Training Epoch: 9 [13568/46250]	Loss: 0.0091	LR: 0.000800
Training Epoch: 9 [13824/46250]	Loss: 0.0096	LR: 0.000800
Training Epoch: 9 [14080/46250]	Loss: 0.0117	LR: 0.000800
Training Epoch: 9 [14336/46250]	Loss: 0.0164	LR: 0.000800
Training Epoch: 9 [14592/46250]	Loss: 0.0101	LR: 0.000800
Training Epoch: 9 [14848/46250]	Loss: 0.0097	LR: 0.000800
Training Epoch: 9 [15104/46250]	Loss: 0.0146	LR: 0.000800
Training Epoch: 9 [15360/46250]	Loss: 0.0139	LR: 0.000800
Training Epoch: 9 [15616/46250]	Loss: 0.0111	LR: 0.000800
Training Epoch: 9 [15872/46250]	Loss: 0.0159	LR: 0.000800
Training Epoch: 9 [16128/46250]	Loss: 0.0114	LR: 0.000800
Training Epoch: 9 [16384/46250]	Loss: 0.0119	LR: 0.000800
Training Epoch: 9 [16640/46250]	Loss: 0.0138	LR: 0.000800
Training Epoch: 9 [16896/46250]	Loss: 0.0160	LR: 0.000800
Training Epoch: 9 [17152/46250]	Loss: 0.0087	LR: 0.000800
Training Epoch: 9 [17408/46250]	Loss: 0.0132	LR: 0.000800
Training Epoch: 9 [17664/46250]	Loss: 0.0111	LR: 0.000800
Training Epoch: 9 [17920/46250]	Loss: 0.0109	LR: 0.000800
Training Epoch: 9 [18176/46250]	Loss: 0.0144	LR: 0.000800
Training Epoch: 9 [18432/46250]	Loss: 0.0102	LR: 0.000800
Training Epoch: 9 [18688/46250]	Loss: 0.0117	LR: 0.000800
Training Epoch: 9 [18944/46250]	Loss: 0.0134	LR: 0.000800
Training Epoch: 9 [19200/46250]	Loss: 0.0104	LR: 0.000800
Training Epoch: 9 [19456/46250]	Loss: 0.0100	LR: 0.000800
Training Epoch: 9 [19712/46250]	Loss: 0.0149	LR: 0.000800
Training Epoch: 9 [19968/46250]	Loss: 0.0180	LR: 0.000800
Training Epoch: 9 [20224/46250]	Loss: 0.0132	LR: 0.000800
Training Epoch: 9 [20480/46250]	Loss: 0.0119	LR: 0.000800
Training Epoch: 9 [20736/46250]	Loss: 0.0160	LR: 0.000800
Training Epoch: 9 [20992/46250]	Loss: 0.0124	LR: 0.000800
Training Epoch: 9 [21248/46250]	Loss: 0.0087	LR: 0.000800
Training Epoch: 9 [21504/46250]	Loss: 0.0164	LR: 0.000800
Training Epoch: 9 [21760/46250]	Loss: 0.0126	LR: 0.000800
Training Epoch: 9 [22016/46250]	Loss: 0.0144	LR: 0.000800
Training Epoch: 9 [22272/46250]	Loss: 0.0097	LR: 0.000800
Training Epoch: 9 [22528/46250]	Loss: 0.0166	LR: 0.000800
Training Epoch: 9 [22784/46250]	Loss: 0.0129	LR: 0.000800
Training Epoch: 9 [23040/46250]	Loss: 0.0122	LR: 0.000800
Training Epoch: 9 [23296/46250]	Loss: 0.0115	LR: 0.000800
Training Epoch: 9 [23552/46250]	Loss: 0.0149	LR: 0.000800
Training Epoch: 9 [23808/46250]	Loss: 0.0132	LR: 0.000800
Training Epoch: 9 [24064/46250]	Loss: 0.0108	LR: 0.000800
Training Epoch: 9 [24320/46250]	Loss: 0.0165	LR: 0.000800
Training Epoch: 9 [24576/46250]	Loss: 0.0128	LR: 0.000800
Training Epoch: 9 [24832/46250]	Loss: 0.0118	LR: 0.000800
Training Epoch: 9 [25088/46250]	Loss: 0.0092	LR: 0.000800
Training Epoch: 9 [25344/46250]	Loss: 0.0148	LR: 0.000800
Training Epoch: 9 [25600/46250]	Loss: 0.0099	LR: 0.000800
Training Epoch: 9 [25856/46250]	Loss: 0.0089	LR: 0.000800
Training Epoch: 9 [26112/46250]	Loss: 0.0143	LR: 0.000800
Training Epoch: 9 [26368/46250]	Loss: 0.0105	LR: 0.000800
Training Epoch: 9 [26624/46250]	Loss: 0.0092	LR: 0.000800
Training Epoch: 9 [26880/46250]	Loss: 0.0081	LR: 0.000800
Training Epoch: 9 [27136/46250]	Loss: 0.0097	LR: 0.000800
Training Epoch: 9 [27392/46250]	Loss: 0.0100	LR: 0.000800
Training Epoch: 9 [27648/46250]	Loss: 0.0106	LR: 0.000800
Training Epoch: 9 [27904/46250]	Loss: 0.0134	LR: 0.000800
Training Epoch: 9 [28160/46250]	Loss: 0.0106	LR: 0.000800
Training Epoch: 9 [28416/46250]	Loss: 0.0062	LR: 0.000800
Training Epoch: 9 [28672/46250]	Loss: 0.0098	LR: 0.000800
Training Epoch: 9 [28928/46250]	Loss: 0.0107	LR: 0.000800
Training Epoch: 9 [29184/46250]	Loss: 0.0099	LR: 0.000800
Training Epoch: 9 [29440/46250]	Loss: 0.0106	LR: 0.000800
Training Epoch: 9 [29696/46250]	Loss: 0.0088	LR: 0.000800
Training Epoch: 9 [29952/46250]	Loss: 0.0092	LR: 0.000800
Training Epoch: 9 [30208/46250]	Loss: 0.0084	LR: 0.000800
Training Epoch: 9 [30464/46250]	Loss: 0.0111	LR: 0.000800
Training Epoch: 9 [30720/46250]	Loss: 0.0099	LR: 0.000800
Training Epoch: 9 [30976/46250]	Loss: 0.0089	LR: 0.000800
Training Epoch: 9 [31232/46250]	Loss: 0.0090	LR: 0.000800
Training Epoch: 9 [31488/46250]	Loss: 0.0114	LR: 0.000800
Training Epoch: 9 [31744/46250]	Loss: 0.0090	LR: 0.000800
Training Epoch: 9 [32000/46250]	Loss: 0.0100	LR: 0.000800
Training Epoch: 9 [32256/46250]	Loss: 0.0108	LR: 0.000800
Training Epoch: 9 [32512/46250]	Loss: 0.0137	LR: 0.000800
Training Epoch: 9 [32768/46250]	Loss: 0.0081	LR: 0.000800
Training Epoch: 9 [33024/46250]	Loss: 0.0114	LR: 0.000800
Training Epoch: 9 [33280/46250]	Loss: 0.0123	LR: 0.000800
Training Epoch: 9 [33536/46250]	Loss: 0.0102	LR: 0.000800
Training Epoch: 9 [33792/46250]	Loss: 0.0071	LR: 0.000800
Training Epoch: 9 [34048/46250]	Loss: 0.0150	LR: 0.000800
Training Epoch: 9 [34304/46250]	Loss: 0.0119	LR: 0.000800
Training Epoch: 9 [34560/46250]	Loss: 0.0085	LR: 0.000800
Training Epoch: 9 [34816/46250]	Loss: 0.0117	LR: 0.000800
Training Epoch: 9 [35072/46250]	Loss: 0.0090	LR: 0.000800
Training Epoch: 9 [35328/46250]	Loss: 0.0103	LR: 0.000800
Training Epoch: 9 [35584/46250]	Loss: 0.0152	LR: 0.000800
Training Epoch: 9 [35840/46250]	Loss: 0.0107	LR: 0.000800
Training Epoch: 9 [36096/46250]	Loss: 0.0101	LR: 0.000800
Training Epoch: 9 [36352/46250]	Loss: 0.0100	LR: 0.000800
Training Epoch: 9 [36608/46250]	Loss: 0.0118	LR: 0.000800
Training Epoch: 9 [36864/46250]	Loss: 0.0125	LR: 0.000800
Training Epoch: 9 [37120/46250]	Loss: 0.0104	LR: 0.000800
Training Epoch: 9 [37376/46250]	Loss: 0.0124	LR: 0.000800
Training Epoch: 9 [37632/46250]	Loss: 0.0110	LR: 0.000800
Training Epoch: 9 [37888/46250]	Loss: 0.0107	LR: 0.000800
Training Epoch: 9 [38144/46250]	Loss: 0.0156	LR: 0.000800
Training Epoch: 9 [38400/46250]	Loss: 0.0105	LR: 0.000800
Training Epoch: 9 [38656/46250]	Loss: 0.0090	LR: 0.000800
Training Epoch: 9 [38912/46250]	Loss: 0.0100	LR: 0.000800
Training Epoch: 9 [39168/46250]	Loss: 0.0130	LR: 0.000800
Training Epoch: 9 [39424/46250]	Loss: 0.0109	LR: 0.000800
Training Epoch: 9 [39680/46250]	Loss: 0.0138	LR: 0.000800
Training Epoch: 9 [39936/46250]	Loss: 0.0143	LR: 0.000800
Training Epoch: 9 [40192/46250]	Loss: 0.0112	LR: 0.000800
Training Epoch: 9 [40448/46250]	Loss: 0.0100	LR: 0.000800
Training Epoch: 9 [40704/46250]	Loss: 0.0154	LR: 0.000800
Training Epoch: 9 [40960/46250]	Loss: 0.0142	LR: 0.000800
Training Epoch: 9 [41216/46250]	Loss: 0.0147	LR: 0.000800
Training Epoch: 9 [41472/46250]	Loss: 0.0077	LR: 0.000800
Training Epoch: 9 [41728/46250]	Loss: 0.0099	LR: 0.000800
Training Epoch: 9 [41984/46250]	Loss: 0.0104	LR: 0.000800
Training Epoch: 9 [42240/46250]	Loss: 0.0115	LR: 0.000800
Training Epoch: 9 [42496/46250]	Loss: 0.0098	LR: 0.000800
Training Epoch: 9 [42752/46250]	Loss: 0.0079	LR: 0.000800
Training Epoch: 9 [43008/46250]	Loss: 0.0139	LR: 0.000800
Training Epoch: 9 [43264/46250]	Loss: 0.0127	LR: 0.000800
Training Epoch: 9 [43520/46250]	Loss: 0.0133	LR: 0.000800
Training Epoch: 9 [43776/46250]	Loss: 0.0087	LR: 0.000800
Training Epoch: 9 [44032/46250]	Loss: 0.0119	LR: 0.000800
Training Epoch: 9 [44288/46250]	Loss: 0.0144	LR: 0.000800
Training Epoch: 9 [44544/46250]	Loss: 0.0104	LR: 0.000800
Training Epoch: 9 [44800/46250]	Loss: 0.0096	LR: 0.000800
Training Epoch: 9 [45056/46250]	Loss: 0.0113	LR: 0.000800
Training Epoch: 9 [45312/46250]	Loss: 0.0126	LR: 0.000800
Training Epoch: 9 [45568/46250]	Loss: 0.0113	LR: 0.000800
Training Epoch: 9 [45824/46250]	Loss: 0.0098	LR: 0.000800
Training Epoch: 9 [46080/46250]	Loss: 0.0115	LR: 0.000800
Training Epoch: 9 [46250/46250]	Loss: 0.0112	LR: 0.000800
Epoch 9 - Average Train Loss: 0.0120, Train Accuracy: 0.9998
Epoch 9 training time consumed: 18.13s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0027, Accuracy: 0.8232, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_13h_32m_15s/ResNet18-Cifar10-seed9-ret25-9-best.pth
Training Epoch: 10 [256/46250]	Loss: 0.0094	LR: 0.000800
Training Epoch: 10 [512/46250]	Loss: 0.0110	LR: 0.000800
Training Epoch: 10 [768/46250]	Loss: 0.0116	LR: 0.000800
Training Epoch: 10 [1024/46250]	Loss: 0.0112	LR: 0.000800
Training Epoch: 10 [1280/46250]	Loss: 0.0113	LR: 0.000800
Training Epoch: 10 [1536/46250]	Loss: 0.0078	LR: 0.000800
Training Epoch: 10 [1792/46250]	Loss: 0.0104	LR: 0.000800
Training Epoch: 10 [2048/46250]	Loss: 0.0088	LR: 0.000800
Training Epoch: 10 [2304/46250]	Loss: 0.0103	LR: 0.000800
Training Epoch: 10 [2560/46250]	Loss: 0.0155	LR: 0.000800
Training Epoch: 10 [2816/46250]	Loss: 0.0116	LR: 0.000800
Training Epoch: 10 [3072/46250]	Loss: 0.0118	LR: 0.000800
Training Epoch: 10 [3328/46250]	Loss: 0.0086	LR: 0.000800
Training Epoch: 10 [3584/46250]	Loss: 0.0104	LR: 0.000800
Training Epoch: 10 [3840/46250]	Loss: 0.0119	LR: 0.000800
Training Epoch: 10 [4096/46250]	Loss: 0.0073	LR: 0.000800
Training Epoch: 10 [4352/46250]	Loss: 0.0094	LR: 0.000800
Training Epoch: 10 [4608/46250]	Loss: 0.0110	LR: 0.000800
Training Epoch: 10 [4864/46250]	Loss: 0.0111	LR: 0.000800
Training Epoch: 10 [5120/46250]	Loss: 0.0091	LR: 0.000800
Training Epoch: 10 [5376/46250]	Loss: 0.0120	LR: 0.000800
Training Epoch: 10 [5632/46250]	Loss: 0.0096	LR: 0.000800
Training Epoch: 10 [5888/46250]	Loss: 0.0099	LR: 0.000800
Training Epoch: 10 [6144/46250]	Loss: 0.0090	LR: 0.000800
Training Epoch: 10 [6400/46250]	Loss: 0.0094	LR: 0.000800
Training Epoch: 10 [6656/46250]	Loss: 0.0104	LR: 0.000800
Training Epoch: 10 [6912/46250]	Loss: 0.0119	LR: 0.000800
Training Epoch: 10 [7168/46250]	Loss: 0.0107	LR: 0.000800
Training Epoch: 10 [7424/46250]	Loss: 0.0085	LR: 0.000800
Training Epoch: 10 [7680/46250]	Loss: 0.0074	LR: 0.000800
Training Epoch: 10 [7936/46250]	Loss: 0.0097	LR: 0.000800
Training Epoch: 10 [8192/46250]	Loss: 0.0105	LR: 0.000800
Training Epoch: 10 [8448/46250]	Loss: 0.0158	LR: 0.000800
Training Epoch: 10 [8704/46250]	Loss: 0.0096	LR: 0.000800
Training Epoch: 10 [8960/46250]	Loss: 0.0140	LR: 0.000800
Training Epoch: 10 [9216/46250]	Loss: 0.0087	LR: 0.000800
Training Epoch: 10 [9472/46250]	Loss: 0.0095	LR: 0.000800
Training Epoch: 10 [9728/46250]	Loss: 0.0116	LR: 0.000800
Training Epoch: 10 [9984/46250]	Loss: 0.0129	LR: 0.000800
Training Epoch: 10 [10240/46250]	Loss: 0.0124	LR: 0.000800
Training Epoch: 10 [10496/46250]	Loss: 0.0084	LR: 0.000800
Training Epoch: 10 [10752/46250]	Loss: 0.0101	LR: 0.000800
Training Epoch: 10 [11008/46250]	Loss: 0.0091	LR: 0.000800
Training Epoch: 10 [11264/46250]	Loss: 0.0092	LR: 0.000800
Training Epoch: 10 [11520/46250]	Loss: 0.0101	LR: 0.000800
Training Epoch: 10 [11776/46250]	Loss: 0.0098	LR: 0.000800
Training Epoch: 10 [12032/46250]	Loss: 0.0081	LR: 0.000800
Training Epoch: 10 [12288/46250]	Loss: 0.0085	LR: 0.000800
Training Epoch: 10 [12544/46250]	Loss: 0.0082	LR: 0.000800
Training Epoch: 10 [12800/46250]	Loss: 0.0121	LR: 0.000800
Training Epoch: 10 [13056/46250]	Loss: 0.0093	LR: 0.000800
Training Epoch: 10 [13312/46250]	Loss: 0.0108	LR: 0.000800
Training Epoch: 10 [13568/46250]	Loss: 0.0080	LR: 0.000800
Training Epoch: 10 [13824/46250]	Loss: 0.0104	LR: 0.000800
Training Epoch: 10 [14080/46250]	Loss: 0.0080	LR: 0.000800
Training Epoch: 10 [14336/46250]	Loss: 0.0105	LR: 0.000800
Training Epoch: 10 [14592/46250]	Loss: 0.0101	LR: 0.000800
Training Epoch: 10 [14848/46250]	Loss: 0.0116	LR: 0.000800
Training Epoch: 10 [15104/46250]	Loss: 0.0090	LR: 0.000800
Training Epoch: 10 [15360/46250]	Loss: 0.0080	LR: 0.000800
Training Epoch: 10 [15616/46250]	Loss: 0.0114	LR: 0.000800
Training Epoch: 10 [15872/46250]	Loss: 0.0097	LR: 0.000800
Training Epoch: 10 [16128/46250]	Loss: 0.0106	LR: 0.000800
Training Epoch: 10 [16384/46250]	Loss: 0.0097	LR: 0.000800
Training Epoch: 10 [16640/46250]	Loss: 0.0099	LR: 0.000800
Training Epoch: 10 [16896/46250]	Loss: 0.0090	LR: 0.000800
Training Epoch: 10 [17152/46250]	Loss: 0.0122	LR: 0.000800
Training Epoch: 10 [17408/46250]	Loss: 0.0071	LR: 0.000800
Training Epoch: 10 [17664/46250]	Loss: 0.0113	LR: 0.000800
Training Epoch: 10 [17920/46250]	Loss: 0.0081	LR: 0.000800
Training Epoch: 10 [18176/46250]	Loss: 0.0108	LR: 0.000800
Training Epoch: 10 [18432/46250]	Loss: 0.0092	LR: 0.000800
Training Epoch: 10 [18688/46250]	Loss: 0.0098	LR: 0.000800
Training Epoch: 10 [18944/46250]	Loss: 0.0142	LR: 0.000800
Training Epoch: 10 [19200/46250]	Loss: 0.0110	LR: 0.000800
Training Epoch: 10 [19456/46250]	Loss: 0.0079	LR: 0.000800
Training Epoch: 10 [19712/46250]	Loss: 0.0088	LR: 0.000800
Training Epoch: 10 [19968/46250]	Loss: 0.0095	LR: 0.000800
Training Epoch: 10 [20224/46250]	Loss: 0.0089	LR: 0.000800
Training Epoch: 10 [20480/46250]	Loss: 0.0136	LR: 0.000800
Training Epoch: 10 [20736/46250]	Loss: 0.0122	LR: 0.000800
Training Epoch: 10 [20992/46250]	Loss: 0.0101	LR: 0.000800
Training Epoch: 10 [21248/46250]	Loss: 0.0089	LR: 0.000800
Training Epoch: 10 [21504/46250]	Loss: 0.0068	LR: 0.000800
Training Epoch: 10 [21760/46250]	Loss: 0.0080	LR: 0.000800
Training Epoch: 10 [22016/46250]	Loss: 0.0103	LR: 0.000800
Training Epoch: 10 [22272/46250]	Loss: 0.0112	LR: 0.000800
Training Epoch: 10 [22528/46250]	Loss: 0.0098	LR: 0.000800
Training Epoch: 10 [22784/46250]	Loss: 0.0092	LR: 0.000800
Training Epoch: 10 [23040/46250]	Loss: 0.0075	LR: 0.000800
Training Epoch: 10 [23296/46250]	Loss: 0.0106	LR: 0.000800
Training Epoch: 10 [23552/46250]	Loss: 0.0097	LR: 0.000800
Training Epoch: 10 [23808/46250]	Loss: 0.0137	LR: 0.000800
Training Epoch: 10 [24064/46250]	Loss: 0.0081	LR: 0.000800
Training Epoch: 10 [24320/46250]	Loss: 0.0074	LR: 0.000800
Training Epoch: 10 [24576/46250]	Loss: 0.0071	LR: 0.000800
Training Epoch: 10 [24832/46250]	Loss: 0.0087	LR: 0.000800
Training Epoch: 10 [25088/46250]	Loss: 0.0115	LR: 0.000800
Training Epoch: 10 [25344/46250]	Loss: 0.0087	LR: 0.000800
Training Epoch: 10 [25600/46250]	Loss: 0.0112	LR: 0.000800
Training Epoch: 10 [25856/46250]	Loss: 0.0092	LR: 0.000800
Training Epoch: 10 [26112/46250]	Loss: 0.0108	LR: 0.000800
Training Epoch: 10 [26368/46250]	Loss: 0.0140	LR: 0.000800
Training Epoch: 10 [26624/46250]	Loss: 0.0128	LR: 0.000800
Training Epoch: 10 [26880/46250]	Loss: 0.0079	LR: 0.000800
Training Epoch: 10 [27136/46250]	Loss: 0.0093	LR: 0.000800
Training Epoch: 10 [27392/46250]	Loss: 0.0069	LR: 0.000800
Training Epoch: 10 [27648/46250]	Loss: 0.0105	LR: 0.000800
Training Epoch: 10 [27904/46250]	Loss: 0.0132	LR: 0.000800
Training Epoch: 10 [28160/46250]	Loss: 0.0069	LR: 0.000800
Training Epoch: 10 [28416/46250]	Loss: 0.0098	LR: 0.000800
Training Epoch: 10 [28672/46250]	Loss: 0.0102	LR: 0.000800
Training Epoch: 10 [28928/46250]	Loss: 0.0140	LR: 0.000800
Training Epoch: 10 [29184/46250]	Loss: 0.0104	LR: 0.000800
Training Epoch: 10 [29440/46250]	Loss: 0.0103	LR: 0.000800
Training Epoch: 10 [29696/46250]	Loss: 0.0104	LR: 0.000800
Training Epoch: 10 [29952/46250]	Loss: 0.0083	LR: 0.000800
Training Epoch: 10 [30208/46250]	Loss: 0.0111	LR: 0.000800
Training Epoch: 10 [30464/46250]	Loss: 0.0095	LR: 0.000800
Training Epoch: 10 [30720/46250]	Loss: 0.0091	LR: 0.000800
Training Epoch: 10 [30976/46250]	Loss: 0.0090	LR: 0.000800
Training Epoch: 10 [31232/46250]	Loss: 0.0069	LR: 0.000800
Training Epoch: 10 [31488/46250]	Loss: 0.0087	LR: 0.000800
Training Epoch: 10 [31744/46250]	Loss: 0.0111	LR: 0.000800
Training Epoch: 10 [32000/46250]	Loss: 0.0086	LR: 0.000800
Training Epoch: 10 [32256/46250]	Loss: 0.0091	LR: 0.000800
Training Epoch: 10 [32512/46250]	Loss: 0.0074	LR: 0.000800
Training Epoch: 10 [32768/46250]	Loss: 0.0104	LR: 0.000800
Training Epoch: 10 [33024/46250]	Loss: 0.0104	LR: 0.000800
Training Epoch: 10 [33280/46250]	Loss: 0.0090	LR: 0.000800
Training Epoch: 10 [33536/46250]	Loss: 0.0146	LR: 0.000800
Training Epoch: 10 [33792/46250]	Loss: 0.0096	LR: 0.000800
Training Epoch: 10 [34048/46250]	Loss: 0.0110	LR: 0.000800
Training Epoch: 10 [34304/46250]	Loss: 0.0085	LR: 0.000800
Training Epoch: 10 [34560/46250]	Loss: 0.0110	LR: 0.000800
Training Epoch: 10 [34816/46250]	Loss: 0.0192	LR: 0.000800
Training Epoch: 10 [35072/46250]	Loss: 0.0089	LR: 0.000800
Training Epoch: 10 [35328/46250]	Loss: 0.0119	LR: 0.000800
Training Epoch: 10 [35584/46250]	Loss: 0.0099	LR: 0.000800
Training Epoch: 10 [35840/46250]	Loss: 0.0129	LR: 0.000800
Training Epoch: 10 [36096/46250]	Loss: 0.0075	LR: 0.000800
Training Epoch: 10 [36352/46250]	Loss: 0.0108	LR: 0.000800
Training Epoch: 10 [36608/46250]	Loss: 0.0101	LR: 0.000800
Training Epoch: 10 [36864/46250]	Loss: 0.0072	LR: 0.000800
Training Epoch: 10 [37120/46250]	Loss: 0.0085	LR: 0.000800
Training Epoch: 10 [37376/46250]	Loss: 0.0085	LR: 0.000800
Training Epoch: 10 [37632/46250]	Loss: 0.0088	LR: 0.000800
Training Epoch: 10 [37888/46250]	Loss: 0.0100	LR: 0.000800
Training Epoch: 10 [38144/46250]	Loss: 0.0102	LR: 0.000800
Training Epoch: 10 [38400/46250]	Loss: 0.0092	LR: 0.000800
Training Epoch: 10 [38656/46250]	Loss: 0.0097	LR: 0.000800
Training Epoch: 10 [38912/46250]	Loss: 0.0096	LR: 0.000800
Training Epoch: 10 [39168/46250]	Loss: 0.0090	LR: 0.000800
Training Epoch: 10 [39424/46250]	Loss: 0.0088	LR: 0.000800
Training Epoch: 10 [39680/46250]	Loss: 0.0093	LR: 0.000800
Training Epoch: 10 [39936/46250]	Loss: 0.0097	LR: 0.000800
Training Epoch: 10 [40192/46250]	Loss: 0.0113	LR: 0.000800
Training Epoch: 10 [40448/46250]	Loss: 0.0088	LR: 0.000800
Training Epoch: 10 [40704/46250]	Loss: 0.0108	LR: 0.000800
Training Epoch: 10 [40960/46250]	Loss: 0.0088	LR: 0.000800
Training Epoch: 10 [41216/46250]	Loss: 0.0096	LR: 0.000800
Training Epoch: 10 [41472/46250]	Loss: 0.0095	LR: 0.000800
Training Epoch: 10 [41728/46250]	Loss: 0.0116	LR: 0.000800
Training Epoch: 10 [41984/46250]	Loss: 0.0089	LR: 0.000800
Training Epoch: 10 [42240/46250]	Loss: 0.0105	LR: 0.000800
Training Epoch: 10 [42496/46250]	Loss: 0.0139	LR: 0.000800
Training Epoch: 10 [42752/46250]	Loss: 0.0151	LR: 0.000800
Training Epoch: 10 [43008/46250]	Loss: 0.0146	LR: 0.000800
Training Epoch: 10 [43264/46250]	Loss: 0.0084	LR: 0.000800
Training Epoch: 10 [43520/46250]	Loss: 0.0107	LR: 0.000800
Training Epoch: 10 [43776/46250]	Loss: 0.0165	LR: 0.000800
Training Epoch: 10 [44032/46250]	Loss: 0.0090	LR: 0.000800
Training Epoch: 10 [44288/46250]	Loss: 0.0115	LR: 0.000800
Training Epoch: 10 [44544/46250]	Loss: 0.0104	LR: 0.000800
Training Epoch: 10 [44800/46250]	Loss: 0.0100	LR: 0.000800
Training Epoch: 10 [45056/46250]	Loss: 0.0108	LR: 0.000800
Training Epoch: 10 [45312/46250]	Loss: 0.0113	LR: 0.000800
Training Epoch: 10 [45568/46250]	Loss: 0.0088	LR: 0.000800
Training Epoch: 10 [45824/46250]	Loss: 0.0096	LR: 0.000800
Training Epoch: 10 [46080/46250]	Loss: 0.0086	LR: 0.000800
Training Epoch: 10 [46250/46250]	Loss: 0.0103	LR: 0.000800
Epoch 10 - Average Train Loss: 0.0101, Train Accuracy: 0.9999
Epoch 10 training time consumed: 18.02s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0027, Accuracy: 0.8226, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_13h_32m_15s/ResNet18-Cifar10-seed9-ret25-10-best.pth
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: 82.08984375
Retain Accuracy: 99.99352264404297
Zero-Retain Forget (ZRF): 0.7833395004272461
Membership Inference Attack (MIA): 0.6056
Forget vs Retain Membership Inference Attack (MIA): 0.62
Forget vs Test Membership Inference Attack (MIA): 0.4766666666666667
Test vs Retain Membership Inference Attack (MIA): 0.6245
Train vs Test Membership Inference Attack (MIA): 0.6345
Forget Set Accuracy (Df): 82.05603790283203
Method Execution Time: 1117.18 seconds
