hello
hello
Labels

📌S Retain class distribution for seed 3:
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 3:
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: 2.3222	LR: 0.000000
Training Epoch: 1 [512/46250]	Loss: 2.3548	LR: 0.000552
Training Epoch: 1 [768/46250]	Loss: 2.3035	LR: 0.001105
Training Epoch: 1 [1024/46250]	Loss: 2.3243	LR: 0.001657
Training Epoch: 1 [1280/46250]	Loss: 2.2842	LR: 0.002210
Training Epoch: 1 [1536/46250]	Loss: 2.2514	LR: 0.002762
Training Epoch: 1 [1792/46250]	Loss: 2.2518	LR: 0.003315
Training Epoch: 1 [2048/46250]	Loss: 2.2246	LR: 0.003867
Training Epoch: 1 [2304/46250]	Loss: 2.1801	LR: 0.004420
Training Epoch: 1 [2560/46250]	Loss: 2.1775	LR: 0.004972
Training Epoch: 1 [2816/46250]	Loss: 2.1748	LR: 0.005525
Training Epoch: 1 [3072/46250]	Loss: 2.0375	LR: 0.006077
Training Epoch: 1 [3328/46250]	Loss: 2.0571	LR: 0.006630
Training Epoch: 1 [3584/46250]	Loss: 2.0200	LR: 0.007182
Training Epoch: 1 [3840/46250]	Loss: 1.9716	LR: 0.007735
Training Epoch: 1 [4096/46250]	Loss: 1.9228	LR: 0.008287
Training Epoch: 1 [4352/46250]	Loss: 1.9192	LR: 0.008840
Training Epoch: 1 [4608/46250]	Loss: 1.8053	LR: 0.009392
Training Epoch: 1 [4864/46250]	Loss: 1.8346	LR: 0.009945
Training Epoch: 1 [5120/46250]	Loss: 1.7678	LR: 0.010497
Training Epoch: 1 [5376/46250]	Loss: 1.8598	LR: 0.011050
Training Epoch: 1 [5632/46250]	Loss: 1.8479	LR: 0.011602
Training Epoch: 1 [5888/46250]	Loss: 1.8134	LR: 0.012155
Training Epoch: 1 [6144/46250]	Loss: 1.7759	LR: 0.012707
Training Epoch: 1 [6400/46250]	Loss: 1.7780	LR: 0.013260
Training Epoch: 1 [6656/46250]	Loss: 1.8521	LR: 0.013812
Training Epoch: 1 [6912/46250]	Loss: 1.6761	LR: 0.014365
Training Epoch: 1 [7168/46250]	Loss: 1.7541	LR: 0.014917
Training Epoch: 1 [7424/46250]	Loss: 1.6472	LR: 0.015470
Training Epoch: 1 [7680/46250]	Loss: 1.7082	LR: 0.016022
Training Epoch: 1 [7936/46250]	Loss: 1.6371	LR: 0.016575
Training Epoch: 1 [8192/46250]	Loss: 1.7006	LR: 0.017127
Training Epoch: 1 [8448/46250]	Loss: 1.6843	LR: 0.017680
Training Epoch: 1 [8704/46250]	Loss: 1.7318	LR: 0.018232
Training Epoch: 1 [8960/46250]	Loss: 1.7246	LR: 0.018785
Training Epoch: 1 [9216/46250]	Loss: 1.5659	LR: 0.019337
Training Epoch: 1 [9472/46250]	Loss: 1.6949	LR: 0.019890
Training Epoch: 1 [9728/46250]	Loss: 1.7460	LR: 0.020442
Training Epoch: 1 [9984/46250]	Loss: 1.5783	LR: 0.020994
Training Epoch: 1 [10240/46250]	Loss: 1.6401	LR: 0.021547
Training Epoch: 1 [10496/46250]	Loss: 1.8054	LR: 0.022099
Training Epoch: 1 [10752/46250]	Loss: 1.6297	LR: 0.022652
Training Epoch: 1 [11008/46250]	Loss: 1.5727	LR: 0.023204
Training Epoch: 1 [11264/46250]	Loss: 1.6989	LR: 0.023757
Training Epoch: 1 [11520/46250]	Loss: 1.7000	LR: 0.024309
Training Epoch: 1 [11776/46250]	Loss: 1.6676	LR: 0.024862
Training Epoch: 1 [12032/46250]	Loss: 1.5053	LR: 0.025414
Training Epoch: 1 [12288/46250]	Loss: 1.7268	LR: 0.025967
Training Epoch: 1 [12544/46250]	Loss: 1.5724	LR: 0.026519
Training Epoch: 1 [12800/46250]	Loss: 1.8573	LR: 0.027072
Training Epoch: 1 [13056/46250]	Loss: 1.6353	LR: 0.027624
Training Epoch: 1 [13312/46250]	Loss: 1.5835	LR: 0.028177
Training Epoch: 1 [13568/46250]	Loss: 1.8657	LR: 0.028729
Training Epoch: 1 [13824/46250]	Loss: 1.7101	LR: 0.029282
Training Epoch: 1 [14080/46250]	Loss: 1.6589	LR: 0.029834
Training Epoch: 1 [14336/46250]	Loss: 1.6420	LR: 0.030387
Training Epoch: 1 [14592/46250]	Loss: 1.5781	LR: 0.030939
Training Epoch: 1 [14848/46250]	Loss: 1.7539	LR: 0.031492
Training Epoch: 1 [15104/46250]	Loss: 1.6307	LR: 0.032044
Training Epoch: 1 [15360/46250]	Loss: 1.6687	LR: 0.032597
Training Epoch: 1 [15616/46250]	Loss: 1.6215	LR: 0.033149
Training Epoch: 1 [15872/46250]	Loss: 1.6660	LR: 0.033702
Training Epoch: 1 [16128/46250]	Loss: 1.5094	LR: 0.034254
Training Epoch: 1 [16384/46250]	Loss: 1.4253	LR: 0.034807
Training Epoch: 1 [16640/46250]	Loss: 1.5381	LR: 0.035359
Training Epoch: 1 [16896/46250]	Loss: 1.5491	LR: 0.035912
Training Epoch: 1 [17152/46250]	Loss: 1.4346	LR: 0.036464
Training Epoch: 1 [17408/46250]	Loss: 1.4572	LR: 0.037017
Training Epoch: 1 [17664/46250]	Loss: 1.4359	LR: 0.037569
Training Epoch: 1 [17920/46250]	Loss: 1.4466	LR: 0.038122
Training Epoch: 1 [18176/46250]	Loss: 1.4705	LR: 0.038674
Training Epoch: 1 [18432/46250]	Loss: 1.5578	LR: 0.039227
Training Epoch: 1 [18688/46250]	Loss: 1.4670	LR: 0.039779
Training Epoch: 1 [18944/46250]	Loss: 1.4061	LR: 0.040331
Training Epoch: 1 [19200/46250]	Loss: 1.5813	LR: 0.040884
Training Epoch: 1 [19456/46250]	Loss: 1.4828	LR: 0.041436
Training Epoch: 1 [19712/46250]	Loss: 1.5312	LR: 0.041989
Training Epoch: 1 [19968/46250]	Loss: 1.4528	LR: 0.042541
Training Epoch: 1 [20224/46250]	Loss: 1.4436	LR: 0.043094
Training Epoch: 1 [20480/46250]	Loss: 1.4841	LR: 0.043646
Training Epoch: 1 [20736/46250]	Loss: 1.4230	LR: 0.044199
Training Epoch: 1 [20992/46250]	Loss: 1.6464	LR: 0.044751
Training Epoch: 1 [21248/46250]	Loss: 1.5171	LR: 0.045304
Training Epoch: 1 [21504/46250]	Loss: 1.4158	LR: 0.045856
Training Epoch: 1 [21760/46250]	Loss: 1.4515	LR: 0.046409
Training Epoch: 1 [22016/46250]	Loss: 1.6135	LR: 0.046961
Training Epoch: 1 [22272/46250]	Loss: 1.7334	LR: 0.047514
Training Epoch: 1 [22528/46250]	Loss: 1.5096	LR: 0.048066
Training Epoch: 1 [22784/46250]	Loss: 1.6119	LR: 0.048619
Training Epoch: 1 [23040/46250]	Loss: 1.6057	LR: 0.049171
Training Epoch: 1 [23296/46250]	Loss: 1.6061	LR: 0.049724
Training Epoch: 1 [23552/46250]	Loss: 1.3941	LR: 0.050276
Training Epoch: 1 [23808/46250]	Loss: 1.4364	LR: 0.050829
Training Epoch: 1 [24064/46250]	Loss: 1.5145	LR: 0.051381
Training Epoch: 1 [24320/46250]	Loss: 1.4129	LR: 0.051934
Training Epoch: 1 [24576/46250]	Loss: 1.4724	LR: 0.052486
Training Epoch: 1 [24832/46250]	Loss: 1.5191	LR: 0.053039
Training Epoch: 1 [25088/46250]	Loss: 1.3480	LR: 0.053591
Training Epoch: 1 [25344/46250]	Loss: 1.4285	LR: 0.054144
Training Epoch: 1 [25600/46250]	Loss: 1.4462	LR: 0.054696
Training Epoch: 1 [25856/46250]	Loss: 1.3796	LR: 0.055249
Training Epoch: 1 [26112/46250]	Loss: 1.3303	LR: 0.055801
Training Epoch: 1 [26368/46250]	Loss: 1.4444	LR: 0.056354
Training Epoch: 1 [26624/46250]	Loss: 1.5675	LR: 0.056906
Training Epoch: 1 [26880/46250]	Loss: 1.6825	LR: 0.057459
Training Epoch: 1 [27136/46250]	Loss: 1.5496	LR: 0.058011
Training Epoch: 1 [27392/46250]	Loss: 1.4052	LR: 0.058564
Training Epoch: 1 [27648/46250]	Loss: 1.3867	LR: 0.059116
Training Epoch: 1 [27904/46250]	Loss: 1.4280	LR: 0.059669
Training Epoch: 1 [28160/46250]	Loss: 1.5151	LR: 0.060221
Training Epoch: 1 [28416/46250]	Loss: 1.2807	LR: 0.060773
Training Epoch: 1 [28672/46250]	Loss: 1.4756	LR: 0.061326
Training Epoch: 1 [28928/46250]	Loss: 1.4130	LR: 0.061878
Training Epoch: 1 [29184/46250]	Loss: 1.2343	LR: 0.062431
Training Epoch: 1 [29440/46250]	Loss: 1.4946	LR: 0.062983
Training Epoch: 1 [29696/46250]	Loss: 1.4625	LR: 0.063536
Training Epoch: 1 [29952/46250]	Loss: 1.6000	LR: 0.064088
Training Epoch: 1 [30208/46250]	Loss: 1.2988	LR: 0.064641
Training Epoch: 1 [30464/46250]	Loss: 1.3704	LR: 0.065193
Training Epoch: 1 [30720/46250]	Loss: 1.2639	LR: 0.065746
Training Epoch: 1 [30976/46250]	Loss: 1.3593	LR: 0.066298
Training Epoch: 1 [31232/46250]	Loss: 1.2778	LR: 0.066851
Training Epoch: 1 [31488/46250]	Loss: 1.6237	LR: 0.067403
Training Epoch: 1 [31744/46250]	Loss: 1.3060	LR: 0.067956
Training Epoch: 1 [32000/46250]	Loss: 1.3690	LR: 0.068508
Training Epoch: 1 [32256/46250]	Loss: 1.4969	LR: 0.069061
Training Epoch: 1 [32512/46250]	Loss: 1.5367	LR: 0.069613
Training Epoch: 1 [32768/46250]	Loss: 1.2847	LR: 0.070166
Training Epoch: 1 [33024/46250]	Loss: 1.2924	LR: 0.070718
Training Epoch: 1 [33280/46250]	Loss: 1.4541	LR: 0.071271
Training Epoch: 1 [33536/46250]	Loss: 1.4100	LR: 0.071823
Training Epoch: 1 [33792/46250]	Loss: 1.3096	LR: 0.072376
Training Epoch: 1 [34048/46250]	Loss: 1.4960	LR: 0.072928
Training Epoch: 1 [34304/46250]	Loss: 1.3295	LR: 0.073481
Training Epoch: 1 [34560/46250]	Loss: 1.4688	LR: 0.074033
Training Epoch: 1 [34816/46250]	Loss: 1.4472	LR: 0.074586
Training Epoch: 1 [35072/46250]	Loss: 1.2381	LR: 0.075138
Training Epoch: 1 [35328/46250]	Loss: 1.3908	LR: 0.075691
Training Epoch: 1 [35584/46250]	Loss: 1.2474	LR: 0.076243
Training Epoch: 1 [35840/46250]	Loss: 1.2550	LR: 0.076796
Training Epoch: 1 [36096/46250]	Loss: 1.3365	LR: 0.077348
Training Epoch: 1 [36352/46250]	Loss: 1.4241	LR: 0.077901
Training Epoch: 1 [36608/46250]	Loss: 1.2870	LR: 0.078453
Training Epoch: 1 [36864/46250]	Loss: 1.4205	LR: 0.079006
Training Epoch: 1 [37120/46250]	Loss: 1.4898	LR: 0.079558
Training Epoch: 1 [37376/46250]	Loss: 1.2170	LR: 0.080110
Training Epoch: 1 [37632/46250]	Loss: 1.2951	LR: 0.080663
Training Epoch: 1 [37888/46250]	Loss: 1.2724	LR: 0.081215
Training Epoch: 1 [38144/46250]	Loss: 1.4407	LR: 0.081768
Training Epoch: 1 [38400/46250]	Loss: 1.2979	LR: 0.082320
Training Epoch: 1 [38656/46250]	Loss: 1.2569	LR: 0.082873
Training Epoch: 1 [38912/46250]	Loss: 1.4406	LR: 0.083425
Training Epoch: 1 [39168/46250]	Loss: 1.4381	LR: 0.083978
Training Epoch: 1 [39424/46250]	Loss: 1.0220	LR: 0.084530
Training Epoch: 1 [39680/46250]	Loss: 1.3055	LR: 0.085083
Training Epoch: 1 [39936/46250]	Loss: 1.2269	LR: 0.085635
Training Epoch: 1 [40192/46250]	Loss: 1.2632	LR: 0.086188
Training Epoch: 1 [40448/46250]	Loss: 1.4528	LR: 0.086740
Training Epoch: 1 [40704/46250]	Loss: 1.6148	LR: 0.087293
Training Epoch: 1 [40960/46250]	Loss: 1.2654	LR: 0.087845
Training Epoch: 1 [41216/46250]	Loss: 1.3538	LR: 0.088398
Training Epoch: 1 [41472/46250]	Loss: 1.2509	LR: 0.088950
Training Epoch: 1 [41728/46250]	Loss: 1.3027	LR: 0.089503
Training Epoch: 1 [41984/46250]	Loss: 1.3223	LR: 0.090055
Training Epoch: 1 [42240/46250]	Loss: 1.2941	LR: 0.090608
Training Epoch: 1 [42496/46250]	Loss: 1.1948	LR: 0.091160
Training Epoch: 1 [42752/46250]	Loss: 1.3712	LR: 0.091713
Training Epoch: 1 [43008/46250]	Loss: 1.2359	LR: 0.092265
Training Epoch: 1 [43264/46250]	Loss: 1.2233	LR: 0.092818
Training Epoch: 1 [43520/46250]	Loss: 1.3799	LR: 0.093370
Training Epoch: 1 [43776/46250]	Loss: 1.2269	LR: 0.093923
Training Epoch: 1 [44032/46250]	Loss: 1.5289	LR: 0.094475
Training Epoch: 1 [44288/46250]	Loss: 1.1846	LR: 0.095028
Training Epoch: 1 [44544/46250]	Loss: 1.2792	LR: 0.095580
Training Epoch: 1 [44800/46250]	Loss: 1.2396	LR: 0.096133
Training Epoch: 1 [45056/46250]	Loss: 1.3305	LR: 0.096685
Training Epoch: 1 [45312/46250]	Loss: 1.2566	LR: 0.097238
Training Epoch: 1 [45568/46250]	Loss: 1.0748	LR: 0.097790
Training Epoch: 1 [45824/46250]	Loss: 1.1452	LR: 0.098343
Training Epoch: 1 [46080/46250]	Loss: 1.2270	LR: 0.098895
Training Epoch: 1 [46250/46250]	Loss: 1.0866	LR: 0.099448
Epoch 1 - Average Train Loss: 1.5455, Train Accuracy: 0.4402
Epoch 1 training time consumed: 18.91s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0065, Accuracy: 0.4830, Time consumed:1.05s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_11h_38m_16s/ResNet18-Cifar10-seed3-ret25-1-best.pth
Training Epoch: 2 [256/46250]	Loss: 1.2132	LR: 0.020000
Training Epoch: 2 [512/46250]	Loss: 1.1604	LR: 0.020000
Training Epoch: 2 [768/46250]	Loss: 1.1088	LR: 0.020000
Training Epoch: 2 [1024/46250]	Loss: 1.0237	LR: 0.020000
Training Epoch: 2 [1280/46250]	Loss: 1.2203	LR: 0.020000
Training Epoch: 2 [1536/46250]	Loss: 0.9937	LR: 0.020000
Training Epoch: 2 [1792/46250]	Loss: 0.9883	LR: 0.020000
Training Epoch: 2 [2048/46250]	Loss: 1.0871	LR: 0.020000
Training Epoch: 2 [2304/46250]	Loss: 0.8985	LR: 0.020000
Training Epoch: 2 [2560/46250]	Loss: 1.0467	LR: 0.020000
Training Epoch: 2 [2816/46250]	Loss: 0.8503	LR: 0.020000
Training Epoch: 2 [3072/46250]	Loss: 0.9440	LR: 0.020000
Training Epoch: 2 [3328/46250]	Loss: 0.9610	LR: 0.020000
Training Epoch: 2 [3584/46250]	Loss: 1.0607	LR: 0.020000
Training Epoch: 2 [3840/46250]	Loss: 0.8715	LR: 0.020000
Training Epoch: 2 [4096/46250]	Loss: 0.9537	LR: 0.020000
Training Epoch: 2 [4352/46250]	Loss: 0.9492	LR: 0.020000
Training Epoch: 2 [4608/46250]	Loss: 0.8683	LR: 0.020000
Training Epoch: 2 [4864/46250]	Loss: 0.8992	LR: 0.020000
Training Epoch: 2 [5120/46250]	Loss: 0.9634	LR: 0.020000
Training Epoch: 2 [5376/46250]	Loss: 1.0650	LR: 0.020000
Training Epoch: 2 [5632/46250]	Loss: 0.8986	LR: 0.020000
Training Epoch: 2 [5888/46250]	Loss: 0.8990	LR: 0.020000
Training Epoch: 2 [6144/46250]	Loss: 1.0039	LR: 0.020000
Training Epoch: 2 [6400/46250]	Loss: 0.8440	LR: 0.020000
Training Epoch: 2 [6656/46250]	Loss: 0.9639	LR: 0.020000
Training Epoch: 2 [6912/46250]	Loss: 0.9873	LR: 0.020000
Training Epoch: 2 [7168/46250]	Loss: 0.8518	LR: 0.020000
Training Epoch: 2 [7424/46250]	Loss: 1.0125	LR: 0.020000
Training Epoch: 2 [7680/46250]	Loss: 0.8758	LR: 0.020000
Training Epoch: 2 [7936/46250]	Loss: 0.9094	LR: 0.020000
Training Epoch: 2 [8192/46250]	Loss: 0.8307	LR: 0.020000
Training Epoch: 2 [8448/46250]	Loss: 0.9738	LR: 0.020000
Training Epoch: 2 [8704/46250]	Loss: 0.7915	LR: 0.020000
Training Epoch: 2 [8960/46250]	Loss: 0.8148	LR: 0.020000
Training Epoch: 2 [9216/46250]	Loss: 0.9856	LR: 0.020000
Training Epoch: 2 [9472/46250]	Loss: 0.7091	LR: 0.020000
Training Epoch: 2 [9728/46250]	Loss: 0.9102	LR: 0.020000
Training Epoch: 2 [9984/46250]	Loss: 0.9389	LR: 0.020000
Training Epoch: 2 [10240/46250]	Loss: 0.8658	LR: 0.020000
Training Epoch: 2 [10496/46250]	Loss: 0.8902	LR: 0.020000
Training Epoch: 2 [10752/46250]	Loss: 0.7362	LR: 0.020000
Training Epoch: 2 [11008/46250]	Loss: 0.8932	LR: 0.020000
Training Epoch: 2 [11264/46250]	Loss: 0.7877	LR: 0.020000
Training Epoch: 2 [11520/46250]	Loss: 0.9225	LR: 0.020000
Training Epoch: 2 [11776/46250]	Loss: 0.8568	LR: 0.020000
Training Epoch: 2 [12032/46250]	Loss: 0.7740	LR: 0.020000
Training Epoch: 2 [12288/46250]	Loss: 0.9189	LR: 0.020000
Training Epoch: 2 [12544/46250]	Loss: 0.9469	LR: 0.020000
Training Epoch: 2 [12800/46250]	Loss: 0.9052	LR: 0.020000
Training Epoch: 2 [13056/46250]	Loss: 0.7647	LR: 0.020000
Training Epoch: 2 [13312/46250]	Loss: 0.8780	LR: 0.020000
Training Epoch: 2 [13568/46250]	Loss: 0.8000	LR: 0.020000
Training Epoch: 2 [13824/46250]	Loss: 0.8068	LR: 0.020000
Training Epoch: 2 [14080/46250]	Loss: 0.8520	LR: 0.020000
Training Epoch: 2 [14336/46250]	Loss: 0.7477	LR: 0.020000
Training Epoch: 2 [14592/46250]	Loss: 0.6198	LR: 0.020000
Training Epoch: 2 [14848/46250]	Loss: 0.7572	LR: 0.020000
Training Epoch: 2 [15104/46250]	Loss: 0.8656	LR: 0.020000
Training Epoch: 2 [15360/46250]	Loss: 0.7561	LR: 0.020000
Training Epoch: 2 [15616/46250]	Loss: 0.8949	LR: 0.020000
Training Epoch: 2 [15872/46250]	Loss: 0.9122	LR: 0.020000
Training Epoch: 2 [16128/46250]	Loss: 0.8706	LR: 0.020000
Training Epoch: 2 [16384/46250]	Loss: 0.7303	LR: 0.020000
Training Epoch: 2 [16640/46250]	Loss: 0.7242	LR: 0.020000
Training Epoch: 2 [16896/46250]	Loss: 0.8668	LR: 0.020000
Training Epoch: 2 [17152/46250]	Loss: 0.8801	LR: 0.020000
Training Epoch: 2 [17408/46250]	Loss: 0.7668	LR: 0.020000
Training Epoch: 2 [17664/46250]	Loss: 0.8034	LR: 0.020000
Training Epoch: 2 [17920/46250]	Loss: 0.9058	LR: 0.020000
Training Epoch: 2 [18176/46250]	Loss: 0.8460	LR: 0.020000
Training Epoch: 2 [18432/46250]	Loss: 0.8129	LR: 0.020000
Training Epoch: 2 [18688/46250]	Loss: 0.7377	LR: 0.020000
Training Epoch: 2 [18944/46250]	Loss: 0.9013	LR: 0.020000
Training Epoch: 2 [19200/46250]	Loss: 0.9001	LR: 0.020000
Training Epoch: 2 [19456/46250]	Loss: 0.8512	LR: 0.020000
Training Epoch: 2 [19712/46250]	Loss: 0.8708	LR: 0.020000
Training Epoch: 2 [19968/46250]	Loss: 0.7572	LR: 0.020000
Training Epoch: 2 [20224/46250]	Loss: 0.8789	LR: 0.020000
Training Epoch: 2 [20480/46250]	Loss: 0.6712	LR: 0.020000
Training Epoch: 2 [20736/46250]	Loss: 0.7910	LR: 0.020000
Training Epoch: 2 [20992/46250]	Loss: 0.6714	LR: 0.020000
Training Epoch: 2 [21248/46250]	Loss: 0.8604	LR: 0.020000
Training Epoch: 2 [21504/46250]	Loss: 0.9084	LR: 0.020000
Training Epoch: 2 [21760/46250]	Loss: 0.7036	LR: 0.020000
Training Epoch: 2 [22016/46250]	Loss: 0.8196	LR: 0.020000
Training Epoch: 2 [22272/46250]	Loss: 0.8551	LR: 0.020000
Training Epoch: 2 [22528/46250]	Loss: 0.7908	LR: 0.020000
Training Epoch: 2 [22784/46250]	Loss: 0.8522	LR: 0.020000
Training Epoch: 2 [23040/46250]	Loss: 0.7688	LR: 0.020000
Training Epoch: 2 [23296/46250]	Loss: 0.7893	LR: 0.020000
Training Epoch: 2 [23552/46250]	Loss: 0.8645	LR: 0.020000
Training Epoch: 2 [23808/46250]	Loss: 0.8753	LR: 0.020000
Training Epoch: 2 [24064/46250]	Loss: 0.7678	LR: 0.020000
Training Epoch: 2 [24320/46250]	Loss: 0.8994	LR: 0.020000
Training Epoch: 2 [24576/46250]	Loss: 0.7129	LR: 0.020000
Training Epoch: 2 [24832/46250]	Loss: 0.6834	LR: 0.020000
Training Epoch: 2 [25088/46250]	Loss: 0.6905	LR: 0.020000
Training Epoch: 2 [25344/46250]	Loss: 0.8553	LR: 0.020000
Training Epoch: 2 [25600/46250]	Loss: 0.9050	LR: 0.020000
Training Epoch: 2 [25856/46250]	Loss: 0.7310	LR: 0.020000
Training Epoch: 2 [26112/46250]	Loss: 0.7905	LR: 0.020000
Training Epoch: 2 [26368/46250]	Loss: 0.7309	LR: 0.020000
Training Epoch: 2 [26624/46250]	Loss: 0.6983	LR: 0.020000
Training Epoch: 2 [26880/46250]	Loss: 0.7232	LR: 0.020000
Training Epoch: 2 [27136/46250]	Loss: 0.8980	LR: 0.020000
Training Epoch: 2 [27392/46250]	Loss: 0.8314	LR: 0.020000
Training Epoch: 2 [27648/46250]	Loss: 0.6924	LR: 0.020000
Training Epoch: 2 [27904/46250]	Loss: 0.8436	LR: 0.020000
Training Epoch: 2 [28160/46250]	Loss: 0.7469	LR: 0.020000
Training Epoch: 2 [28416/46250]	Loss: 0.7604	LR: 0.020000
Training Epoch: 2 [28672/46250]	Loss: 0.8598	LR: 0.020000
Training Epoch: 2 [28928/46250]	Loss: 0.7764	LR: 0.020000
Training Epoch: 2 [29184/46250]	Loss: 0.6912	LR: 0.020000
Training Epoch: 2 [29440/46250]	Loss: 0.8354	LR: 0.020000
Training Epoch: 2 [29696/46250]	Loss: 0.6652	LR: 0.020000
Training Epoch: 2 [29952/46250]	Loss: 0.7665	LR: 0.020000
Training Epoch: 2 [30208/46250]	Loss: 0.9065	LR: 0.020000
Training Epoch: 2 [30464/46250]	Loss: 0.8692	LR: 0.020000
Training Epoch: 2 [30720/46250]	Loss: 0.7991	LR: 0.020000
Training Epoch: 2 [30976/46250]	Loss: 0.7798	LR: 0.020000
Training Epoch: 2 [31232/46250]	Loss: 0.7167	LR: 0.020000
Training Epoch: 2 [31488/46250]	Loss: 0.6739	LR: 0.020000
Training Epoch: 2 [31744/46250]	Loss: 0.7685	LR: 0.020000
Training Epoch: 2 [32000/46250]	Loss: 0.8274	LR: 0.020000
Training Epoch: 2 [32256/46250]	Loss: 0.7573	LR: 0.020000
Training Epoch: 2 [32512/46250]	Loss: 0.7389	LR: 0.020000
Training Epoch: 2 [32768/46250]	Loss: 0.7549	LR: 0.020000
Training Epoch: 2 [33024/46250]	Loss: 0.7112	LR: 0.020000
Training Epoch: 2 [33280/46250]	Loss: 0.7644	LR: 0.020000
Training Epoch: 2 [33536/46250]	Loss: 0.7730	LR: 0.020000
Training Epoch: 2 [33792/46250]	Loss: 0.6996	LR: 0.020000
Training Epoch: 2 [34048/46250]	Loss: 0.8027	LR: 0.020000
Training Epoch: 2 [34304/46250]	Loss: 0.6652	LR: 0.020000
Training Epoch: 2 [34560/46250]	Loss: 0.7387	LR: 0.020000
Training Epoch: 2 [34816/46250]	Loss: 0.7238	LR: 0.020000
Training Epoch: 2 [35072/46250]	Loss: 0.7285	LR: 0.020000
Training Epoch: 2 [35328/46250]	Loss: 0.7661	LR: 0.020000
Training Epoch: 2 [35584/46250]	Loss: 0.7078	LR: 0.020000
Training Epoch: 2 [35840/46250]	Loss: 0.8659	LR: 0.020000
Training Epoch: 2 [36096/46250]	Loss: 0.7114	LR: 0.020000
Training Epoch: 2 [36352/46250]	Loss: 0.7120	LR: 0.020000
Training Epoch: 2 [36608/46250]	Loss: 0.6308	LR: 0.020000
Training Epoch: 2 [36864/46250]	Loss: 0.6934	LR: 0.020000
Training Epoch: 2 [37120/46250]	Loss: 0.7189	LR: 0.020000
Training Epoch: 2 [37376/46250]	Loss: 0.6276	LR: 0.020000
Training Epoch: 2 [37632/46250]	Loss: 0.7079	LR: 0.020000
Training Epoch: 2 [37888/46250]	Loss: 0.6482	LR: 0.020000
Training Epoch: 2 [38144/46250]	Loss: 0.7684	LR: 0.020000
Training Epoch: 2 [38400/46250]	Loss: 0.8229	LR: 0.020000
Training Epoch: 2 [38656/46250]	Loss: 0.7149	LR: 0.020000
Training Epoch: 2 [38912/46250]	Loss: 0.7698	LR: 0.020000
Training Epoch: 2 [39168/46250]	Loss: 0.7725	LR: 0.020000
Training Epoch: 2 [39424/46250]	Loss: 0.7066	LR: 0.020000
Training Epoch: 2 [39680/46250]	Loss: 0.7755	LR: 0.020000
Training Epoch: 2 [39936/46250]	Loss: 0.6318	LR: 0.020000
Training Epoch: 2 [40192/46250]	Loss: 0.6712	LR: 0.020000
Training Epoch: 2 [40448/46250]	Loss: 0.6221	LR: 0.020000
Training Epoch: 2 [40704/46250]	Loss: 0.7299	LR: 0.020000
Training Epoch: 2 [40960/46250]	Loss: 0.6558	LR: 0.020000
Training Epoch: 2 [41216/46250]	Loss: 0.7725	LR: 0.020000
Training Epoch: 2 [41472/46250]	Loss: 0.6397	LR: 0.020000
Training Epoch: 2 [41728/46250]	Loss: 0.7060	LR: 0.020000
Training Epoch: 2 [41984/46250]	Loss: 0.6784	LR: 0.020000
Training Epoch: 2 [42240/46250]	Loss: 0.6989	LR: 0.020000
Training Epoch: 2 [42496/46250]	Loss: 0.6068	LR: 0.020000
Training Epoch: 2 [42752/46250]	Loss: 0.7423	LR: 0.020000
Training Epoch: 2 [43008/46250]	Loss: 0.6737	LR: 0.020000
Training Epoch: 2 [43264/46250]	Loss: 0.6449	LR: 0.020000
Training Epoch: 2 [43520/46250]	Loss: 0.6435	LR: 0.020000
Training Epoch: 2 [43776/46250]	Loss: 0.8103	LR: 0.020000
Training Epoch: 2 [44032/46250]	Loss: 0.6701	LR: 0.020000
Training Epoch: 2 [44288/46250]	Loss: 0.7037	LR: 0.020000
Training Epoch: 2 [44544/46250]	Loss: 0.7632	LR: 0.020000
Training Epoch: 2 [44800/46250]	Loss: 0.7601	LR: 0.020000
Training Epoch: 2 [45056/46250]	Loss: 0.6970	LR: 0.020000
Training Epoch: 2 [45312/46250]	Loss: 0.5521	LR: 0.020000
Training Epoch: 2 [45568/46250]	Loss: 0.7872	LR: 0.020000
Training Epoch: 2 [45824/46250]	Loss: 0.8323	LR: 0.020000
Training Epoch: 2 [46080/46250]	Loss: 0.7785	LR: 0.020000
Training Epoch: 2 [46250/46250]	Loss: 0.6292	LR: 0.020000
Epoch 2 - Average Train Loss: 0.8113, Train Accuracy: 0.7112
Epoch 2 training time consumed: 18.25s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0032, Accuracy: 0.7241, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_11h_38m_16s/ResNet18-Cifar10-seed3-ret25-2-best.pth
Training Epoch: 3 [256/46250]	Loss: 0.5521	LR: 0.020000
Training Epoch: 3 [512/46250]	Loss: 0.6081	LR: 0.020000
Training Epoch: 3 [768/46250]	Loss: 0.6411	LR: 0.020000
Training Epoch: 3 [1024/46250]	Loss: 0.6447	LR: 0.020000
Training Epoch: 3 [1280/46250]	Loss: 0.6427	LR: 0.020000
Training Epoch: 3 [1536/46250]	Loss: 0.5114	LR: 0.020000
Training Epoch: 3 [1792/46250]	Loss: 0.6653	LR: 0.020000
Training Epoch: 3 [2048/46250]	Loss: 0.6835	LR: 0.020000
Training Epoch: 3 [2304/46250]	Loss: 0.5431	LR: 0.020000
Training Epoch: 3 [2560/46250]	Loss: 0.6683	LR: 0.020000
Training Epoch: 3 [2816/46250]	Loss: 0.5647	LR: 0.020000
Training Epoch: 3 [3072/46250]	Loss: 0.5462	LR: 0.020000
Training Epoch: 3 [3328/46250]	Loss: 0.5601	LR: 0.020000
Training Epoch: 3 [3584/46250]	Loss: 0.6926	LR: 0.020000
Training Epoch: 3 [3840/46250]	Loss: 0.5157	LR: 0.020000
Training Epoch: 3 [4096/46250]	Loss: 0.4777	LR: 0.020000
Training Epoch: 3 [4352/46250]	Loss: 0.5754	LR: 0.020000
Training Epoch: 3 [4608/46250]	Loss: 0.6199	LR: 0.020000
Training Epoch: 3 [4864/46250]	Loss: 0.6027	LR: 0.020000
Training Epoch: 3 [5120/46250]	Loss: 0.6018	LR: 0.020000
Training Epoch: 3 [5376/46250]	Loss: 0.5719	LR: 0.020000
Training Epoch: 3 [5632/46250]	Loss: 0.5751	LR: 0.020000
Training Epoch: 3 [5888/46250]	Loss: 0.5506	LR: 0.020000
Training Epoch: 3 [6144/46250]	Loss: 0.5463	LR: 0.020000
Training Epoch: 3 [6400/46250]	Loss: 0.5652	LR: 0.020000
Training Epoch: 3 [6656/46250]	Loss: 0.6949	LR: 0.020000
Training Epoch: 3 [6912/46250]	Loss: 0.5687	LR: 0.020000
Training Epoch: 3 [7168/46250]	Loss: 0.5214	LR: 0.020000
Training Epoch: 3 [7424/46250]	Loss: 0.6817	LR: 0.020000
Training Epoch: 3 [7680/46250]	Loss: 0.5847	LR: 0.020000
Training Epoch: 3 [7936/46250]	Loss: 0.6243	LR: 0.020000
Training Epoch: 3 [8192/46250]	Loss: 0.6695	LR: 0.020000
Training Epoch: 3 [8448/46250]	Loss: 0.5181	LR: 0.020000
Training Epoch: 3 [8704/46250]	Loss: 0.5355	LR: 0.020000
Training Epoch: 3 [8960/46250]	Loss: 0.4884	LR: 0.020000
Training Epoch: 3 [9216/46250]	Loss: 0.5550	LR: 0.020000
Training Epoch: 3 [9472/46250]	Loss: 0.5700	LR: 0.020000
Training Epoch: 3 [9728/46250]	Loss: 0.6841	LR: 0.020000
Training Epoch: 3 [9984/46250]	Loss: 0.6148	LR: 0.020000
Training Epoch: 3 [10240/46250]	Loss: 0.5932	LR: 0.020000
Training Epoch: 3 [10496/46250]	Loss: 0.6620	LR: 0.020000
Training Epoch: 3 [10752/46250]	Loss: 0.5312	LR: 0.020000
Training Epoch: 3 [11008/46250]	Loss: 0.6089	LR: 0.020000
Training Epoch: 3 [11264/46250]	Loss: 0.5662	LR: 0.020000
Training Epoch: 3 [11520/46250]	Loss: 0.6817	LR: 0.020000
Training Epoch: 3 [11776/46250]	Loss: 0.5857	LR: 0.020000
Training Epoch: 3 [12032/46250]	Loss: 0.5969	LR: 0.020000
Training Epoch: 3 [12288/46250]	Loss: 0.6992	LR: 0.020000
Training Epoch: 3 [12544/46250]	Loss: 0.5275	LR: 0.020000
Training Epoch: 3 [12800/46250]	Loss: 0.5668	LR: 0.020000
Training Epoch: 3 [13056/46250]	Loss: 0.5766	LR: 0.020000
Training Epoch: 3 [13312/46250]	Loss: 0.6074	LR: 0.020000
Training Epoch: 3 [13568/46250]	Loss: 0.5938	LR: 0.020000
Training Epoch: 3 [13824/46250]	Loss: 0.6928	LR: 0.020000
Training Epoch: 3 [14080/46250]	Loss: 0.6340	LR: 0.020000
Training Epoch: 3 [14336/46250]	Loss: 0.4751	LR: 0.020000
Training Epoch: 3 [14592/46250]	Loss: 0.5620	LR: 0.020000
Training Epoch: 3 [14848/46250]	Loss: 0.6078	LR: 0.020000
Training Epoch: 3 [15104/46250]	Loss: 0.5547	LR: 0.020000
Training Epoch: 3 [15360/46250]	Loss: 0.3942	LR: 0.020000
Training Epoch: 3 [15616/46250]	Loss: 0.6372	LR: 0.020000
Training Epoch: 3 [15872/46250]	Loss: 0.5828	LR: 0.020000
Training Epoch: 3 [16128/46250]	Loss: 0.5433	LR: 0.020000
Training Epoch: 3 [16384/46250]	Loss: 0.5906	LR: 0.020000
Training Epoch: 3 [16640/46250]	Loss: 0.6825	LR: 0.020000
Training Epoch: 3 [16896/46250]	Loss: 0.5551	LR: 0.020000
Training Epoch: 3 [17152/46250]	Loss: 0.6899	LR: 0.020000
Training Epoch: 3 [17408/46250]	Loss: 0.7118	LR: 0.020000
Training Epoch: 3 [17664/46250]	Loss: 0.6607	LR: 0.020000
Training Epoch: 3 [17920/46250]	Loss: 0.6181	LR: 0.020000
Training Epoch: 3 [18176/46250]	Loss: 0.4657	LR: 0.020000
Training Epoch: 3 [18432/46250]	Loss: 0.6112	LR: 0.020000
Training Epoch: 3 [18688/46250]	Loss: 0.7103	LR: 0.020000
Training Epoch: 3 [18944/46250]	Loss: 0.5234	LR: 0.020000
Training Epoch: 3 [19200/46250]	Loss: 0.5677	LR: 0.020000
Training Epoch: 3 [19456/46250]	Loss: 0.5341	LR: 0.020000
Training Epoch: 3 [19712/46250]	Loss: 0.5908	LR: 0.020000
Training Epoch: 3 [19968/46250]	Loss: 0.6016	LR: 0.020000
Training Epoch: 3 [20224/46250]	Loss: 0.6051	LR: 0.020000
Training Epoch: 3 [20480/46250]	Loss: 0.5325	LR: 0.020000
Training Epoch: 3 [20736/46250]	Loss: 0.6143	LR: 0.020000
Training Epoch: 3 [20992/46250]	Loss: 0.5774	LR: 0.020000
Training Epoch: 3 [21248/46250]	Loss: 0.5575	LR: 0.020000
Training Epoch: 3 [21504/46250]	Loss: 0.6441	LR: 0.020000
Training Epoch: 3 [21760/46250]	Loss: 0.6646	LR: 0.020000
Training Epoch: 3 [22016/46250]	Loss: 0.6376	LR: 0.020000
Training Epoch: 3 [22272/46250]	Loss: 0.5460	LR: 0.020000
Training Epoch: 3 [22528/46250]	Loss: 0.6959	LR: 0.020000
Training Epoch: 3 [22784/46250]	Loss: 0.6217	LR: 0.020000
Training Epoch: 3 [23040/46250]	Loss: 0.5911	LR: 0.020000
Training Epoch: 3 [23296/46250]	Loss: 0.5161	LR: 0.020000
Training Epoch: 3 [23552/46250]	Loss: 0.5822	LR: 0.020000
Training Epoch: 3 [23808/46250]	Loss: 0.5883	LR: 0.020000
Training Epoch: 3 [24064/46250]	Loss: 0.6847	LR: 0.020000
Training Epoch: 3 [24320/46250]	Loss: 0.5091	LR: 0.020000
Training Epoch: 3 [24576/46250]	Loss: 0.6004	LR: 0.020000
Training Epoch: 3 [24832/46250]	Loss: 0.6251	LR: 0.020000
Training Epoch: 3 [25088/46250]	Loss: 0.6087	LR: 0.020000
Training Epoch: 3 [25344/46250]	Loss: 0.5694	LR: 0.020000
Training Epoch: 3 [25600/46250]	Loss: 0.5544	LR: 0.020000
Training Epoch: 3 [25856/46250]	Loss: 0.5952	LR: 0.020000
Training Epoch: 3 [26112/46250]	Loss: 0.5788	LR: 0.020000
Training Epoch: 3 [26368/46250]	Loss: 0.5399	LR: 0.020000
Training Epoch: 3 [26624/46250]	Loss: 0.5757	LR: 0.020000
Training Epoch: 3 [26880/46250]	Loss: 0.5140	LR: 0.020000
Training Epoch: 3 [27136/46250]	Loss: 0.4970	LR: 0.020000
Training Epoch: 3 [27392/46250]	Loss: 0.5096	LR: 0.020000
Training Epoch: 3 [27648/46250]	Loss: 0.5407	LR: 0.020000
Training Epoch: 3 [27904/46250]	Loss: 0.5908	LR: 0.020000
Training Epoch: 3 [28160/46250]	Loss: 0.6494	LR: 0.020000
Training Epoch: 3 [28416/46250]	Loss: 0.5977	LR: 0.020000
Training Epoch: 3 [28672/46250]	Loss: 0.6433	LR: 0.020000
Training Epoch: 3 [28928/46250]	Loss: 0.5576	LR: 0.020000
Training Epoch: 3 [29184/46250]	Loss: 0.5808	LR: 0.020000
Training Epoch: 3 [29440/46250]	Loss: 0.5672	LR: 0.020000
Training Epoch: 3 [29696/46250]	Loss: 0.4814	LR: 0.020000
Training Epoch: 3 [29952/46250]	Loss: 0.5009	LR: 0.020000
Training Epoch: 3 [30208/46250]	Loss: 0.5292	LR: 0.020000
Training Epoch: 3 [30464/46250]	Loss: 0.5755	LR: 0.020000
Training Epoch: 3 [30720/46250]	Loss: 0.6583	LR: 0.020000
Training Epoch: 3 [30976/46250]	Loss: 0.4666	LR: 0.020000
Training Epoch: 3 [31232/46250]	Loss: 0.7008	LR: 0.020000
Training Epoch: 3 [31488/46250]	Loss: 0.6592	LR: 0.020000
Training Epoch: 3 [31744/46250]	Loss: 0.5704	LR: 0.020000
Training Epoch: 3 [32000/46250]	Loss: 0.6054	LR: 0.020000
Training Epoch: 3 [32256/46250]	Loss: 0.6743	LR: 0.020000
Training Epoch: 3 [32512/46250]	Loss: 0.4377	LR: 0.020000
Training Epoch: 3 [32768/46250]	Loss: 0.5882	LR: 0.020000
Training Epoch: 3 [33024/46250]	Loss: 0.5671	LR: 0.020000
Training Epoch: 3 [33280/46250]	Loss: 0.6402	LR: 0.020000
Training Epoch: 3 [33536/46250]	Loss: 0.5361	LR: 0.020000
Training Epoch: 3 [33792/46250]	Loss: 0.5519	LR: 0.020000
Training Epoch: 3 [34048/46250]	Loss: 0.6309	LR: 0.020000
Training Epoch: 3 [34304/46250]	Loss: 0.5563	LR: 0.020000
Training Epoch: 3 [34560/46250]	Loss: 0.5487	LR: 0.020000
Training Epoch: 3 [34816/46250]	Loss: 0.6655	LR: 0.020000
Training Epoch: 3 [35072/46250]	Loss: 0.5425	LR: 0.020000
Training Epoch: 3 [35328/46250]	Loss: 0.6908	LR: 0.020000
Training Epoch: 3 [35584/46250]	Loss: 0.6393	LR: 0.020000
Training Epoch: 3 [35840/46250]	Loss: 0.6218	LR: 0.020000
Training Epoch: 3 [36096/46250]	Loss: 0.7186	LR: 0.020000
Training Epoch: 3 [36352/46250]	Loss: 0.6779	LR: 0.020000
Training Epoch: 3 [36608/46250]	Loss: 0.5532	LR: 0.020000
Training Epoch: 3 [36864/46250]	Loss: 0.5189	LR: 0.020000
Training Epoch: 3 [37120/46250]	Loss: 0.5754	LR: 0.020000
Training Epoch: 3 [37376/46250]	Loss: 0.6488	LR: 0.020000
Training Epoch: 3 [37632/46250]	Loss: 0.5531	LR: 0.020000
Training Epoch: 3 [37888/46250]	Loss: 0.6710	LR: 0.020000
Training Epoch: 3 [38144/46250]	Loss: 0.4859	LR: 0.020000
Training Epoch: 3 [38400/46250]	Loss: 0.6480	LR: 0.020000
Training Epoch: 3 [38656/46250]	Loss: 0.6412	LR: 0.020000
Training Epoch: 3 [38912/46250]	Loss: 0.5904	LR: 0.020000
Training Epoch: 3 [39168/46250]	Loss: 0.5993	LR: 0.020000
Training Epoch: 3 [39424/46250]	Loss: 0.6265	LR: 0.020000
Training Epoch: 3 [39680/46250]	Loss: 0.5356	LR: 0.020000
Training Epoch: 3 [39936/46250]	Loss: 0.5986	LR: 0.020000
Training Epoch: 3 [40192/46250]	Loss: 0.5414	LR: 0.020000
Training Epoch: 3 [40448/46250]	Loss: 0.5673	LR: 0.020000
Training Epoch: 3 [40704/46250]	Loss: 0.5891	LR: 0.020000
Training Epoch: 3 [40960/46250]	Loss: 0.5234	LR: 0.020000
Training Epoch: 3 [41216/46250]	Loss: 0.6184	LR: 0.020000
Training Epoch: 3 [41472/46250]	Loss: 0.5210	LR: 0.020000
Training Epoch: 3 [41728/46250]	Loss: 0.6157	LR: 0.020000
Training Epoch: 3 [41984/46250]	Loss: 0.5402	LR: 0.020000
Training Epoch: 3 [42240/46250]	Loss: 0.5499	LR: 0.020000
Training Epoch: 3 [42496/46250]	Loss: 0.5787	LR: 0.020000
Training Epoch: 3 [42752/46250]	Loss: 0.6873	LR: 0.020000
Training Epoch: 3 [43008/46250]	Loss: 0.5344	LR: 0.020000
Training Epoch: 3 [43264/46250]	Loss: 0.5050	LR: 0.020000
Training Epoch: 3 [43520/46250]	Loss: 0.4829	LR: 0.020000
Training Epoch: 3 [43776/46250]	Loss: 0.6389	LR: 0.020000
Training Epoch: 3 [44032/46250]	Loss: 0.4881	LR: 0.020000
Training Epoch: 3 [44288/46250]	Loss: 0.6710	LR: 0.020000
Training Epoch: 3 [44544/46250]	Loss: 0.5496	LR: 0.020000
Training Epoch: 3 [44800/46250]	Loss: 0.5563	LR: 0.020000
Training Epoch: 3 [45056/46250]	Loss: 0.6263	LR: 0.020000
Training Epoch: 3 [45312/46250]	Loss: 0.5897	LR: 0.020000
Training Epoch: 3 [45568/46250]	Loss: 0.5258	LR: 0.020000
Training Epoch: 3 [45824/46250]	Loss: 0.5608	LR: 0.020000
Training Epoch: 3 [46080/46250]	Loss: 0.5732	LR: 0.020000
Training Epoch: 3 [46250/46250]	Loss: 0.5406	LR: 0.020000
Epoch 3 - Average Train Loss: 0.5877, Train Accuracy: 0.7919
Epoch 3 training time consumed: 17.95s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0032, Accuracy: 0.7358, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_11h_38m_16s/ResNet18-Cifar10-seed3-ret25-3-best.pth
Training Epoch: 4 [256/46250]	Loss: 0.5294	LR: 0.020000
Training Epoch: 4 [512/46250]	Loss: 0.5313	LR: 0.020000
Training Epoch: 4 [768/46250]	Loss: 0.4759	LR: 0.020000
Training Epoch: 4 [1024/46250]	Loss: 0.4594	LR: 0.020000
Training Epoch: 4 [1280/46250]	Loss: 0.4505	LR: 0.020000
Training Epoch: 4 [1536/46250]	Loss: 0.4317	LR: 0.020000
Training Epoch: 4 [1792/46250]	Loss: 0.5094	LR: 0.020000
Training Epoch: 4 [2048/46250]	Loss: 0.3733	LR: 0.020000
Training Epoch: 4 [2304/46250]	Loss: 0.5769	LR: 0.020000
Training Epoch: 4 [2560/46250]	Loss: 0.5175	LR: 0.020000
Training Epoch: 4 [2816/46250]	Loss: 0.3592	LR: 0.020000
Training Epoch: 4 [3072/46250]	Loss: 0.4169	LR: 0.020000
Training Epoch: 4 [3328/46250]	Loss: 0.4261	LR: 0.020000
Training Epoch: 4 [3584/46250]	Loss: 0.5051	LR: 0.020000
Training Epoch: 4 [3840/46250]	Loss: 0.3163	LR: 0.020000
Training Epoch: 4 [4096/46250]	Loss: 0.4395	LR: 0.020000
Training Epoch: 4 [4352/46250]	Loss: 0.4739	LR: 0.020000
Training Epoch: 4 [4608/46250]	Loss: 0.5493	LR: 0.020000
Training Epoch: 4 [4864/46250]	Loss: 0.4623	LR: 0.020000
Training Epoch: 4 [5120/46250]	Loss: 0.3886	LR: 0.020000
Training Epoch: 4 [5376/46250]	Loss: 0.4070	LR: 0.020000
Training Epoch: 4 [5632/46250]	Loss: 0.3979	LR: 0.020000
Training Epoch: 4 [5888/46250]	Loss: 0.3838	LR: 0.020000
Training Epoch: 4 [6144/46250]	Loss: 0.3688	LR: 0.020000
Training Epoch: 4 [6400/46250]	Loss: 0.4746	LR: 0.020000
Training Epoch: 4 [6656/46250]	Loss: 0.4613	LR: 0.020000
Training Epoch: 4 [6912/46250]	Loss: 0.4149	LR: 0.020000
Training Epoch: 4 [7168/46250]	Loss: 0.4193	LR: 0.020000
Training Epoch: 4 [7424/46250]	Loss: 0.4608	LR: 0.020000
Training Epoch: 4 [7680/46250]	Loss: 0.3943	LR: 0.020000
Training Epoch: 4 [7936/46250]	Loss: 0.5985	LR: 0.020000
Training Epoch: 4 [8192/46250]	Loss: 0.4716	LR: 0.020000
Training Epoch: 4 [8448/46250]	Loss: 0.4837	LR: 0.020000
Training Epoch: 4 [8704/46250]	Loss: 0.4212	LR: 0.020000
Training Epoch: 4 [8960/46250]	Loss: 0.4955	LR: 0.020000
Training Epoch: 4 [9216/46250]	Loss: 0.4232	LR: 0.020000
Training Epoch: 4 [9472/46250]	Loss: 0.3812	LR: 0.020000
Training Epoch: 4 [9728/46250]	Loss: 0.3760	LR: 0.020000
Training Epoch: 4 [9984/46250]	Loss: 0.4675	LR: 0.020000
Training Epoch: 4 [10240/46250]	Loss: 0.4649	LR: 0.020000
Training Epoch: 4 [10496/46250]	Loss: 0.3718	LR: 0.020000
Training Epoch: 4 [10752/46250]	Loss: 0.3405	LR: 0.020000
Training Epoch: 4 [11008/46250]	Loss: 0.3065	LR: 0.020000
Training Epoch: 4 [11264/46250]	Loss: 0.3892	LR: 0.020000
Training Epoch: 4 [11520/46250]	Loss: 0.3416	LR: 0.020000
Training Epoch: 4 [11776/46250]	Loss: 0.4800	LR: 0.020000
Training Epoch: 4 [12032/46250]	Loss: 0.3732	LR: 0.020000
Training Epoch: 4 [12288/46250]	Loss: 0.4506	LR: 0.020000
Training Epoch: 4 [12544/46250]	Loss: 0.4468	LR: 0.020000
Training Epoch: 4 [12800/46250]	Loss: 0.5004	LR: 0.020000
Training Epoch: 4 [13056/46250]	Loss: 0.4522	LR: 0.020000
Training Epoch: 4 [13312/46250]	Loss: 0.3915	LR: 0.020000
Training Epoch: 4 [13568/46250]	Loss: 0.4159	LR: 0.020000
Training Epoch: 4 [13824/46250]	Loss: 0.3593	LR: 0.020000
Training Epoch: 4 [14080/46250]	Loss: 0.4661	LR: 0.020000
Training Epoch: 4 [14336/46250]	Loss: 0.5054	LR: 0.020000
Training Epoch: 4 [14592/46250]	Loss: 0.5420	LR: 0.020000
Training Epoch: 4 [14848/46250]	Loss: 0.3645	LR: 0.020000
Training Epoch: 4 [15104/46250]	Loss: 0.3960	LR: 0.020000
Training Epoch: 4 [15360/46250]	Loss: 0.3933	LR: 0.020000
Training Epoch: 4 [15616/46250]	Loss: 0.4149	LR: 0.020000
Training Epoch: 4 [15872/46250]	Loss: 0.5269	LR: 0.020000
Training Epoch: 4 [16128/46250]	Loss: 0.4594	LR: 0.020000
Training Epoch: 4 [16384/46250]	Loss: 0.3974	LR: 0.020000
Training Epoch: 4 [16640/46250]	Loss: 0.4801	LR: 0.020000
Training Epoch: 4 [16896/46250]	Loss: 0.4590	LR: 0.020000
Training Epoch: 4 [17152/46250]	Loss: 0.3253	LR: 0.020000
Training Epoch: 4 [17408/46250]	Loss: 0.4318	LR: 0.020000
Training Epoch: 4 [17664/46250]	Loss: 0.4081	LR: 0.020000
Training Epoch: 4 [17920/46250]	Loss: 0.5539	LR: 0.020000
Training Epoch: 4 [18176/46250]	Loss: 0.5244	LR: 0.020000
Training Epoch: 4 [18432/46250]	Loss: 0.5020	LR: 0.020000
Training Epoch: 4 [18688/46250]	Loss: 0.3605	LR: 0.020000
Training Epoch: 4 [18944/46250]	Loss: 0.5114	LR: 0.020000
Training Epoch: 4 [19200/46250]	Loss: 0.3465	LR: 0.020000
Training Epoch: 4 [19456/46250]	Loss: 0.5361	LR: 0.020000
Training Epoch: 4 [19712/46250]	Loss: 0.4867	LR: 0.020000
Training Epoch: 4 [19968/46250]	Loss: 0.5123	LR: 0.020000
Training Epoch: 4 [20224/46250]	Loss: 0.4367	LR: 0.020000
Training Epoch: 4 [20480/46250]	Loss: 0.3983	LR: 0.020000
Training Epoch: 4 [20736/46250]	Loss: 0.4572	LR: 0.020000
Training Epoch: 4 [20992/46250]	Loss: 0.3841	LR: 0.020000
Training Epoch: 4 [21248/46250]	Loss: 0.4609	LR: 0.020000
Training Epoch: 4 [21504/46250]	Loss: 0.3851	LR: 0.020000
Training Epoch: 4 [21760/46250]	Loss: 0.4051	LR: 0.020000
Training Epoch: 4 [22016/46250]	Loss: 0.4852	LR: 0.020000
Training Epoch: 4 [22272/46250]	Loss: 0.4897	LR: 0.020000
Training Epoch: 4 [22528/46250]	Loss: 0.3700	LR: 0.020000
Training Epoch: 4 [22784/46250]	Loss: 0.4238	LR: 0.020000
Training Epoch: 4 [23040/46250]	Loss: 0.4150	LR: 0.020000
Training Epoch: 4 [23296/46250]	Loss: 0.4568	LR: 0.020000
Training Epoch: 4 [23552/46250]	Loss: 0.4285	LR: 0.020000
Training Epoch: 4 [23808/46250]	Loss: 0.4637	LR: 0.020000
Training Epoch: 4 [24064/46250]	Loss: 0.4984	LR: 0.020000
Training Epoch: 4 [24320/46250]	Loss: 0.3948	LR: 0.020000
Training Epoch: 4 [24576/46250]	Loss: 0.4834	LR: 0.020000
Training Epoch: 4 [24832/46250]	Loss: 0.5143	LR: 0.020000
Training Epoch: 4 [25088/46250]	Loss: 0.4630	LR: 0.020000
Training Epoch: 4 [25344/46250]	Loss: 0.5217	LR: 0.020000
Training Epoch: 4 [25600/46250]	Loss: 0.3843	LR: 0.020000
Training Epoch: 4 [25856/46250]	Loss: 0.4981	LR: 0.020000
Training Epoch: 4 [26112/46250]	Loss: 0.4649	LR: 0.020000
Training Epoch: 4 [26368/46250]	Loss: 0.3475	LR: 0.020000
Training Epoch: 4 [26624/46250]	Loss: 0.4188	LR: 0.020000
Training Epoch: 4 [26880/46250]	Loss: 0.4592	LR: 0.020000
Training Epoch: 4 [27136/46250]	Loss: 0.4221	LR: 0.020000
Training Epoch: 4 [27392/46250]	Loss: 0.4323	LR: 0.020000
Training Epoch: 4 [27648/46250]	Loss: 0.4613	LR: 0.020000
Training Epoch: 4 [27904/46250]	Loss: 0.4591	LR: 0.020000
Training Epoch: 4 [28160/46250]	Loss: 0.5784	LR: 0.020000
Training Epoch: 4 [28416/46250]	Loss: 0.4537	LR: 0.020000
Training Epoch: 4 [28672/46250]	Loss: 0.3587	LR: 0.020000
Training Epoch: 4 [28928/46250]	Loss: 0.3929	LR: 0.020000
Training Epoch: 4 [29184/46250]	Loss: 0.4246	LR: 0.020000
Training Epoch: 4 [29440/46250]	Loss: 0.4021	LR: 0.020000
Training Epoch: 4 [29696/46250]	Loss: 0.4869	LR: 0.020000
Training Epoch: 4 [29952/46250]	Loss: 0.4158	LR: 0.020000
Training Epoch: 4 [30208/46250]	Loss: 0.4680	LR: 0.020000
Training Epoch: 4 [30464/46250]	Loss: 0.4217	LR: 0.020000
Training Epoch: 4 [30720/46250]	Loss: 0.4395	LR: 0.020000
Training Epoch: 4 [30976/46250]	Loss: 0.3551	LR: 0.020000
Training Epoch: 4 [31232/46250]	Loss: 0.4550	LR: 0.020000
Training Epoch: 4 [31488/46250]	Loss: 0.5382	LR: 0.020000
Training Epoch: 4 [31744/46250]	Loss: 0.3913	LR: 0.020000
Training Epoch: 4 [32000/46250]	Loss: 0.4833	LR: 0.020000
Training Epoch: 4 [32256/46250]	Loss: 0.3609	LR: 0.020000
Training Epoch: 4 [32512/46250]	Loss: 0.5481	LR: 0.020000
Training Epoch: 4 [32768/46250]	Loss: 0.4344	LR: 0.020000
Training Epoch: 4 [33024/46250]	Loss: 0.5955	LR: 0.020000
Training Epoch: 4 [33280/46250]	Loss: 0.4915	LR: 0.020000
Training Epoch: 4 [33536/46250]	Loss: 0.3920	LR: 0.020000
Training Epoch: 4 [33792/46250]	Loss: 0.4947	LR: 0.020000
Training Epoch: 4 [34048/46250]	Loss: 0.4096	LR: 0.020000
Training Epoch: 4 [34304/46250]	Loss: 0.3611	LR: 0.020000
Training Epoch: 4 [34560/46250]	Loss: 0.4673	LR: 0.020000
Training Epoch: 4 [34816/46250]	Loss: 0.6407	LR: 0.020000
Training Epoch: 4 [35072/46250]	Loss: 0.4907	LR: 0.020000
Training Epoch: 4 [35328/46250]	Loss: 0.4220	LR: 0.020000
Training Epoch: 4 [35584/46250]	Loss: 0.4213	LR: 0.020000
Training Epoch: 4 [35840/46250]	Loss: 0.5386	LR: 0.020000
Training Epoch: 4 [36096/46250]	Loss: 0.4182	LR: 0.020000
Training Epoch: 4 [36352/46250]	Loss: 0.5431	LR: 0.020000
Training Epoch: 4 [36608/46250]	Loss: 0.4363	LR: 0.020000
Training Epoch: 4 [36864/46250]	Loss: 0.4489	LR: 0.020000
Training Epoch: 4 [37120/46250]	Loss: 0.4237	LR: 0.020000
Training Epoch: 4 [37376/46250]	Loss: 0.3730	LR: 0.020000
Training Epoch: 4 [37632/46250]	Loss: 0.4103	LR: 0.020000
Training Epoch: 4 [37888/46250]	Loss: 0.4615	LR: 0.020000
Training Epoch: 4 [38144/46250]	Loss: 0.5034	LR: 0.020000
Training Epoch: 4 [38400/46250]	Loss: 0.4487	LR: 0.020000
Training Epoch: 4 [38656/46250]	Loss: 0.4212	LR: 0.020000
Training Epoch: 4 [38912/46250]	Loss: 0.4184	LR: 0.020000
Training Epoch: 4 [39168/46250]	Loss: 0.4262	LR: 0.020000
Training Epoch: 4 [39424/46250]	Loss: 0.4804	LR: 0.020000
Training Epoch: 4 [39680/46250]	Loss: 0.4733	LR: 0.020000
Training Epoch: 4 [39936/46250]	Loss: 0.4729	LR: 0.020000
Training Epoch: 4 [40192/46250]	Loss: 0.4279	LR: 0.020000
Training Epoch: 4 [40448/46250]	Loss: 0.5450	LR: 0.020000
Training Epoch: 4 [40704/46250]	Loss: 0.4899	LR: 0.020000
Training Epoch: 4 [40960/46250]	Loss: 0.5506	LR: 0.020000
Training Epoch: 4 [41216/46250]	Loss: 0.4659	LR: 0.020000
Training Epoch: 4 [41472/46250]	Loss: 0.4529	LR: 0.020000
Training Epoch: 4 [41728/46250]	Loss: 0.4904	LR: 0.020000
Training Epoch: 4 [41984/46250]	Loss: 0.4880	LR: 0.020000
Training Epoch: 4 [42240/46250]	Loss: 0.5414	LR: 0.020000
Training Epoch: 4 [42496/46250]	Loss: 0.4964	LR: 0.020000
Training Epoch: 4 [42752/46250]	Loss: 0.4498	LR: 0.020000
Training Epoch: 4 [43008/46250]	Loss: 0.5426	LR: 0.020000
Training Epoch: 4 [43264/46250]	Loss: 0.5116	LR: 0.020000
Training Epoch: 4 [43520/46250]	Loss: 0.3802	LR: 0.020000
Training Epoch: 4 [43776/46250]	Loss: 0.3680	LR: 0.020000
Training Epoch: 4 [44032/46250]	Loss: 0.4642	LR: 0.020000
Training Epoch: 4 [44288/46250]	Loss: 0.4508	LR: 0.020000
Training Epoch: 4 [44544/46250]	Loss: 0.5037	LR: 0.020000
Training Epoch: 4 [44800/46250]	Loss: 0.4889	LR: 0.020000
Training Epoch: 4 [45056/46250]	Loss: 0.4287	LR: 0.020000
Training Epoch: 4 [45312/46250]	Loss: 0.4482	LR: 0.020000
Training Epoch: 4 [45568/46250]	Loss: 0.4209	LR: 0.020000
Training Epoch: 4 [45824/46250]	Loss: 0.4798	LR: 0.020000
Training Epoch: 4 [46080/46250]	Loss: 0.5571	LR: 0.020000
Training Epoch: 4 [46250/46250]	Loss: 0.4855	LR: 0.020000
Epoch 4 - Average Train Loss: 0.4496, Train Accuracy: 0.8413
Epoch 4 training time consumed: 18.30s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0030, Accuracy: 0.7529, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_11h_38m_16s/ResNet18-Cifar10-seed3-ret25-4-best.pth
Training Epoch: 5 [256/46250]	Loss: 0.3774	LR: 0.004000
Training Epoch: 5 [512/46250]	Loss: 0.3420	LR: 0.004000
Training Epoch: 5 [768/46250]	Loss: 0.2623	LR: 0.004000
Training Epoch: 5 [1024/46250]	Loss: 0.2662	LR: 0.004000
Training Epoch: 5 [1280/46250]	Loss: 0.4032	LR: 0.004000
Training Epoch: 5 [1536/46250]	Loss: 0.3063	LR: 0.004000
Training Epoch: 5 [1792/46250]	Loss: 0.3242	LR: 0.004000
Training Epoch: 5 [2048/46250]	Loss: 0.2765	LR: 0.004000
Training Epoch: 5 [2304/46250]	Loss: 0.2479	LR: 0.004000
Training Epoch: 5 [2560/46250]	Loss: 0.2794	LR: 0.004000
Training Epoch: 5 [2816/46250]	Loss: 0.3178	LR: 0.004000
Training Epoch: 5 [3072/46250]	Loss: 0.2736	LR: 0.004000
Training Epoch: 5 [3328/46250]	Loss: 0.2414	LR: 0.004000
Training Epoch: 5 [3584/46250]	Loss: 0.1939	LR: 0.004000
Training Epoch: 5 [3840/46250]	Loss: 0.2675	LR: 0.004000
Training Epoch: 5 [4096/46250]	Loss: 0.3472	LR: 0.004000
Training Epoch: 5 [4352/46250]	Loss: 0.2627	LR: 0.004000
Training Epoch: 5 [4608/46250]	Loss: 0.2421	LR: 0.004000
Training Epoch: 5 [4864/46250]	Loss: 0.2705	LR: 0.004000
Training Epoch: 5 [5120/46250]	Loss: 0.2597	LR: 0.004000
Training Epoch: 5 [5376/46250]	Loss: 0.2230	LR: 0.004000
Training Epoch: 5 [5632/46250]	Loss: 0.2992	LR: 0.004000
Training Epoch: 5 [5888/46250]	Loss: 0.1984	LR: 0.004000
Training Epoch: 5 [6144/46250]	Loss: 0.2119	LR: 0.004000
Training Epoch: 5 [6400/46250]	Loss: 0.2481	LR: 0.004000
Training Epoch: 5 [6656/46250]	Loss: 0.2274	LR: 0.004000
Training Epoch: 5 [6912/46250]	Loss: 0.2329	LR: 0.004000
Training Epoch: 5 [7168/46250]	Loss: 0.3004	LR: 0.004000
Training Epoch: 5 [7424/46250]	Loss: 0.2410	LR: 0.004000
Training Epoch: 5 [7680/46250]	Loss: 0.2122	LR: 0.004000
Training Epoch: 5 [7936/46250]	Loss: 0.3203	LR: 0.004000
Training Epoch: 5 [8192/46250]	Loss: 0.2321	LR: 0.004000
Training Epoch: 5 [8448/46250]	Loss: 0.2286	LR: 0.004000
Training Epoch: 5 [8704/46250]	Loss: 0.2373	LR: 0.004000
Training Epoch: 5 [8960/46250]	Loss: 0.2023	LR: 0.004000
Training Epoch: 5 [9216/46250]	Loss: 0.2330	LR: 0.004000
Training Epoch: 5 [9472/46250]	Loss: 0.2417	LR: 0.004000
Training Epoch: 5 [9728/46250]	Loss: 0.2344	LR: 0.004000
Training Epoch: 5 [9984/46250]	Loss: 0.1740	LR: 0.004000
Training Epoch: 5 [10240/46250]	Loss: 0.2230	LR: 0.004000
Training Epoch: 5 [10496/46250]	Loss: 0.1916	LR: 0.004000
Training Epoch: 5 [10752/46250]	Loss: 0.1804	LR: 0.004000
Training Epoch: 5 [11008/46250]	Loss: 0.2322	LR: 0.004000
Training Epoch: 5 [11264/46250]	Loss: 0.1706	LR: 0.004000
Training Epoch: 5 [11520/46250]	Loss: 0.1657	LR: 0.004000
Training Epoch: 5 [11776/46250]	Loss: 0.2957	LR: 0.004000
Training Epoch: 5 [12032/46250]	Loss: 0.2007	LR: 0.004000
Training Epoch: 5 [12288/46250]	Loss: 0.1895	LR: 0.004000
Training Epoch: 5 [12544/46250]	Loss: 0.2080	LR: 0.004000
Training Epoch: 5 [12800/46250]	Loss: 0.2338	LR: 0.004000
Training Epoch: 5 [13056/46250]	Loss: 0.2682	LR: 0.004000
Training Epoch: 5 [13312/46250]	Loss: 0.2232	LR: 0.004000
Training Epoch: 5 [13568/46250]	Loss: 0.2160	LR: 0.004000
Training Epoch: 5 [13824/46250]	Loss: 0.2730	LR: 0.004000
Training Epoch: 5 [14080/46250]	Loss: 0.2211	LR: 0.004000
Training Epoch: 5 [14336/46250]	Loss: 0.2227	LR: 0.004000
Training Epoch: 5 [14592/46250]	Loss: 0.2300	LR: 0.004000
Training Epoch: 5 [14848/46250]	Loss: 0.2186	LR: 0.004000
Training Epoch: 5 [15104/46250]	Loss: 0.1944	LR: 0.004000
Training Epoch: 5 [15360/46250]	Loss: 0.2610	LR: 0.004000
Training Epoch: 5 [15616/46250]	Loss: 0.2173	LR: 0.004000
Training Epoch: 5 [15872/46250]	Loss: 0.2362	LR: 0.004000
Training Epoch: 5 [16128/46250]	Loss: 0.1832	LR: 0.004000
Training Epoch: 5 [16384/46250]	Loss: 0.1598	LR: 0.004000
Training Epoch: 5 [16640/46250]	Loss: 0.2183	LR: 0.004000
Training Epoch: 5 [16896/46250]	Loss: 0.1780	LR: 0.004000
Training Epoch: 5 [17152/46250]	Loss: 0.1678	LR: 0.004000
Training Epoch: 5 [17408/46250]	Loss: 0.2170	LR: 0.004000
Training Epoch: 5 [17664/46250]	Loss: 0.2138	LR: 0.004000
Training Epoch: 5 [17920/46250]	Loss: 0.1588	LR: 0.004000
Training Epoch: 5 [18176/46250]	Loss: 0.2606	LR: 0.004000
Training Epoch: 5 [18432/46250]	Loss: 0.2016	LR: 0.004000
Training Epoch: 5 [18688/46250]	Loss: 0.2664	LR: 0.004000
Training Epoch: 5 [18944/46250]	Loss: 0.2526	LR: 0.004000
Training Epoch: 5 [19200/46250]	Loss: 0.2246	LR: 0.004000
Training Epoch: 5 [19456/46250]	Loss: 0.1525	LR: 0.004000
Training Epoch: 5 [19712/46250]	Loss: 0.2423	LR: 0.004000
Training Epoch: 5 [19968/46250]	Loss: 0.1746	LR: 0.004000
Training Epoch: 5 [20224/46250]	Loss: 0.2657	LR: 0.004000
Training Epoch: 5 [20480/46250]	Loss: 0.2293	LR: 0.004000
Training Epoch: 5 [20736/46250]	Loss: 0.1472	LR: 0.004000
Training Epoch: 5 [20992/46250]	Loss: 0.2558	LR: 0.004000
Training Epoch: 5 [21248/46250]	Loss: 0.2343	LR: 0.004000
Training Epoch: 5 [21504/46250]	Loss: 0.1638	LR: 0.004000
Training Epoch: 5 [21760/46250]	Loss: 0.1787	LR: 0.004000
Training Epoch: 5 [22016/46250]	Loss: 0.1948	LR: 0.004000
Training Epoch: 5 [22272/46250]	Loss: 0.1646	LR: 0.004000
Training Epoch: 5 [22528/46250]	Loss: 0.1763	LR: 0.004000
Training Epoch: 5 [22784/46250]	Loss: 0.2043	LR: 0.004000
Training Epoch: 5 [23040/46250]	Loss: 0.2407	LR: 0.004000
Training Epoch: 5 [23296/46250]	Loss: 0.2609	LR: 0.004000
Training Epoch: 5 [23552/46250]	Loss: 0.1559	LR: 0.004000
Training Epoch: 5 [23808/46250]	Loss: 0.1764	LR: 0.004000
Training Epoch: 5 [24064/46250]	Loss: 0.2054	LR: 0.004000
Training Epoch: 5 [24320/46250]	Loss: 0.1690	LR: 0.004000
Training Epoch: 5 [24576/46250]	Loss: 0.2491	LR: 0.004000
Training Epoch: 5 [24832/46250]	Loss: 0.1978	LR: 0.004000
Training Epoch: 5 [25088/46250]	Loss: 0.1655	LR: 0.004000
Training Epoch: 5 [25344/46250]	Loss: 0.2174	LR: 0.004000
Training Epoch: 5 [25600/46250]	Loss: 0.1828	LR: 0.004000
Training Epoch: 5 [25856/46250]	Loss: 0.1768	LR: 0.004000
Training Epoch: 5 [26112/46250]	Loss: 0.1791	LR: 0.004000
Training Epoch: 5 [26368/46250]	Loss: 0.1758	LR: 0.004000
Training Epoch: 5 [26624/46250]	Loss: 0.2070	LR: 0.004000
Training Epoch: 5 [26880/46250]	Loss: 0.2268	LR: 0.004000
Training Epoch: 5 [27136/46250]	Loss: 0.2423	LR: 0.004000
Training Epoch: 5 [27392/46250]	Loss: 0.1754	LR: 0.004000
Training Epoch: 5 [27648/46250]	Loss: 0.1730	LR: 0.004000
Training Epoch: 5 [27904/46250]	Loss: 0.2557	LR: 0.004000
Training Epoch: 5 [28160/46250]	Loss: 0.2424	LR: 0.004000
Training Epoch: 5 [28416/46250]	Loss: 0.1697	LR: 0.004000
Training Epoch: 5 [28672/46250]	Loss: 0.1892	LR: 0.004000
Training Epoch: 5 [28928/46250]	Loss: 0.2042	LR: 0.004000
Training Epoch: 5 [29184/46250]	Loss: 0.1621	LR: 0.004000
Training Epoch: 5 [29440/46250]	Loss: 0.2259	LR: 0.004000
Training Epoch: 5 [29696/46250]	Loss: 0.2262	LR: 0.004000
Training Epoch: 5 [29952/46250]	Loss: 0.2182	LR: 0.004000
Training Epoch: 5 [30208/46250]	Loss: 0.1366	LR: 0.004000
Training Epoch: 5 [30464/46250]	Loss: 0.1646	LR: 0.004000
Training Epoch: 5 [30720/46250]	Loss: 0.2376	LR: 0.004000
Training Epoch: 5 [30976/46250]	Loss: 0.2030	LR: 0.004000
Training Epoch: 5 [31232/46250]	Loss: 0.1648	LR: 0.004000
Training Epoch: 5 [31488/46250]	Loss: 0.2354	LR: 0.004000
Training Epoch: 5 [31744/46250]	Loss: 0.1858	LR: 0.004000
Training Epoch: 5 [32000/46250]	Loss: 0.1338	LR: 0.004000
Training Epoch: 5 [32256/46250]	Loss: 0.1971	LR: 0.004000
Training Epoch: 5 [32512/46250]	Loss: 0.1446	LR: 0.004000
Training Epoch: 5 [32768/46250]	Loss: 0.1642	LR: 0.004000
Training Epoch: 5 [33024/46250]	Loss: 0.1708	LR: 0.004000
Training Epoch: 5 [33280/46250]	Loss: 0.1835	LR: 0.004000
Training Epoch: 5 [33536/46250]	Loss: 0.1738	LR: 0.004000
Training Epoch: 5 [33792/46250]	Loss: 0.2333	LR: 0.004000
Training Epoch: 5 [34048/46250]	Loss: 0.1797	LR: 0.004000
Training Epoch: 5 [34304/46250]	Loss: 0.1376	LR: 0.004000
Training Epoch: 5 [34560/46250]	Loss: 0.1165	LR: 0.004000
Training Epoch: 5 [34816/46250]	Loss: 0.1980	LR: 0.004000
Training Epoch: 5 [35072/46250]	Loss: 0.2063	LR: 0.004000
Training Epoch: 5 [35328/46250]	Loss: 0.1326	LR: 0.004000
Training Epoch: 5 [35584/46250]	Loss: 0.1451	LR: 0.004000
Training Epoch: 5 [35840/46250]	Loss: 0.1800	LR: 0.004000
Training Epoch: 5 [36096/46250]	Loss: 0.1781	LR: 0.004000
Training Epoch: 5 [36352/46250]	Loss: 0.1717	LR: 0.004000
Training Epoch: 5 [36608/46250]	Loss: 0.2522	LR: 0.004000
Training Epoch: 5 [36864/46250]	Loss: 0.1740	LR: 0.004000
Training Epoch: 5 [37120/46250]	Loss: 0.1946	LR: 0.004000
Training Epoch: 5 [37376/46250]	Loss: 0.2153	LR: 0.004000
Training Epoch: 5 [37632/46250]	Loss: 0.2196	LR: 0.004000
Training Epoch: 5 [37888/46250]	Loss: 0.1590	LR: 0.004000
Training Epoch: 5 [38144/46250]	Loss: 0.1860	LR: 0.004000
Training Epoch: 5 [38400/46250]	Loss: 0.2236	LR: 0.004000
Training Epoch: 5 [38656/46250]	Loss: 0.1769	LR: 0.004000
Training Epoch: 5 [38912/46250]	Loss: 0.1816	LR: 0.004000
Training Epoch: 5 [39168/46250]	Loss: 0.1483	LR: 0.004000
Training Epoch: 5 [39424/46250]	Loss: 0.2234	LR: 0.004000
Training Epoch: 5 [39680/46250]	Loss: 0.1507	LR: 0.004000
Training Epoch: 5 [39936/46250]	Loss: 0.1956	LR: 0.004000
Training Epoch: 5 [40192/46250]	Loss: 0.1682	LR: 0.004000
Training Epoch: 5 [40448/46250]	Loss: 0.1579	LR: 0.004000
Training Epoch: 5 [40704/46250]	Loss: 0.1131	LR: 0.004000
Training Epoch: 5 [40960/46250]	Loss: 0.1299	LR: 0.004000
Training Epoch: 5 [41216/46250]	Loss: 0.1508	LR: 0.004000
Training Epoch: 5 [41472/46250]	Loss: 0.1396	LR: 0.004000
Training Epoch: 5 [41728/46250]	Loss: 0.1520	LR: 0.004000
Training Epoch: 5 [41984/46250]	Loss: 0.1730	LR: 0.004000
Training Epoch: 5 [42240/46250]	Loss: 0.1677	LR: 0.004000
Training Epoch: 5 [42496/46250]	Loss: 0.1995	LR: 0.004000
Training Epoch: 5 [42752/46250]	Loss: 0.1837	LR: 0.004000
Training Epoch: 5 [43008/46250]	Loss: 0.1867	LR: 0.004000
Training Epoch: 5 [43264/46250]	Loss: 0.1778	LR: 0.004000
Training Epoch: 5 [43520/46250]	Loss: 0.1601	LR: 0.004000
Training Epoch: 5 [43776/46250]	Loss: 0.1687	LR: 0.004000
Training Epoch: 5 [44032/46250]	Loss: 0.1630	LR: 0.004000
Training Epoch: 5 [44288/46250]	Loss: 0.1566	LR: 0.004000
Training Epoch: 5 [44544/46250]	Loss: 0.2110	LR: 0.004000
Training Epoch: 5 [44800/46250]	Loss: 0.1518	LR: 0.004000
Training Epoch: 5 [45056/46250]	Loss: 0.1592	LR: 0.004000
Training Epoch: 5 [45312/46250]	Loss: 0.1265	LR: 0.004000
Training Epoch: 5 [45568/46250]	Loss: 0.1930	LR: 0.004000
Training Epoch: 5 [45824/46250]	Loss: 0.1627	LR: 0.004000
Training Epoch: 5 [46080/46250]	Loss: 0.2083	LR: 0.004000
Training Epoch: 5 [46250/46250]	Loss: 0.1413	LR: 0.004000
Epoch 5 - Average Train Loss: 0.2082, Train Accuracy: 0.9345
Epoch 5 training time consumed: 17.94s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0022, Accuracy: 0.8221, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_11h_38m_16s/ResNet18-Cifar10-seed3-ret25-5-best.pth
Training Epoch: 6 [256/46250]	Loss: 0.0928	LR: 0.004000
Training Epoch: 6 [512/46250]	Loss: 0.1402	LR: 0.004000
Training Epoch: 6 [768/46250]	Loss: 0.1445	LR: 0.004000
Training Epoch: 6 [1024/46250]	Loss: 0.1568	LR: 0.004000
Training Epoch: 6 [1280/46250]	Loss: 0.1579	LR: 0.004000
Training Epoch: 6 [1536/46250]	Loss: 0.1190	LR: 0.004000
Training Epoch: 6 [1792/46250]	Loss: 0.1270	LR: 0.004000
Training Epoch: 6 [2048/46250]	Loss: 0.1027	LR: 0.004000
Training Epoch: 6 [2304/46250]	Loss: 0.1479	LR: 0.004000
Training Epoch: 6 [2560/46250]	Loss: 0.1144	LR: 0.004000
Training Epoch: 6 [2816/46250]	Loss: 0.1045	LR: 0.004000
Training Epoch: 6 [3072/46250]	Loss: 0.1285	LR: 0.004000
Training Epoch: 6 [3328/46250]	Loss: 0.1361	LR: 0.004000
Training Epoch: 6 [3584/46250]	Loss: 0.1034	LR: 0.004000
Training Epoch: 6 [3840/46250]	Loss: 0.1083	LR: 0.004000
Training Epoch: 6 [4096/46250]	Loss: 0.1478	LR: 0.004000
Training Epoch: 6 [4352/46250]	Loss: 0.0942	LR: 0.004000
Training Epoch: 6 [4608/46250]	Loss: 0.1121	LR: 0.004000
Training Epoch: 6 [4864/46250]	Loss: 0.1207	LR: 0.004000
Training Epoch: 6 [5120/46250]	Loss: 0.0906	LR: 0.004000
Training Epoch: 6 [5376/46250]	Loss: 0.0873	LR: 0.004000
Training Epoch: 6 [5632/46250]	Loss: 0.0910	LR: 0.004000
Training Epoch: 6 [5888/46250]	Loss: 0.1238	LR: 0.004000
Training Epoch: 6 [6144/46250]	Loss: 0.0889	LR: 0.004000
Training Epoch: 6 [6400/46250]	Loss: 0.1105	LR: 0.004000
Training Epoch: 6 [6656/46250]	Loss: 0.1067	LR: 0.004000
Training Epoch: 6 [6912/46250]	Loss: 0.0958	LR: 0.004000
Training Epoch: 6 [7168/46250]	Loss: 0.1338	LR: 0.004000
Training Epoch: 6 [7424/46250]	Loss: 0.0998	LR: 0.004000
Training Epoch: 6 [7680/46250]	Loss: 0.1171	LR: 0.004000
Training Epoch: 6 [7936/46250]	Loss: 0.1357	LR: 0.004000
Training Epoch: 6 [8192/46250]	Loss: 0.1182	LR: 0.004000
Training Epoch: 6 [8448/46250]	Loss: 0.0552	LR: 0.004000
Training Epoch: 6 [8704/46250]	Loss: 0.1220	LR: 0.004000
Training Epoch: 6 [8960/46250]	Loss: 0.1182	LR: 0.004000
Training Epoch: 6 [9216/46250]	Loss: 0.1199	LR: 0.004000
Training Epoch: 6 [9472/46250]	Loss: 0.1094	LR: 0.004000
Training Epoch: 6 [9728/46250]	Loss: 0.0773	LR: 0.004000
Training Epoch: 6 [9984/46250]	Loss: 0.1337	LR: 0.004000
Training Epoch: 6 [10240/46250]	Loss: 0.1465	LR: 0.004000
Training Epoch: 6 [10496/46250]	Loss: 0.1048	LR: 0.004000
Training Epoch: 6 [10752/46250]	Loss: 0.1032	LR: 0.004000
Training Epoch: 6 [11008/46250]	Loss: 0.1203	LR: 0.004000
Training Epoch: 6 [11264/46250]	Loss: 0.1183	LR: 0.004000
Training Epoch: 6 [11520/46250]	Loss: 0.1127	LR: 0.004000
Training Epoch: 6 [11776/46250]	Loss: 0.1104	LR: 0.004000
Training Epoch: 6 [12032/46250]	Loss: 0.1112	LR: 0.004000
Training Epoch: 6 [12288/46250]	Loss: 0.1113	LR: 0.004000
Training Epoch: 6 [12544/46250]	Loss: 0.1350	LR: 0.004000
Training Epoch: 6 [12800/46250]	Loss: 0.1306	LR: 0.004000
Training Epoch: 6 [13056/46250]	Loss: 0.1074	LR: 0.004000
Training Epoch: 6 [13312/46250]	Loss: 0.1178	LR: 0.004000
Training Epoch: 6 [13568/46250]	Loss: 0.1060	LR: 0.004000
Training Epoch: 6 [13824/46250]	Loss: 0.1282	LR: 0.004000
Training Epoch: 6 [14080/46250]	Loss: 0.0838	LR: 0.004000
Training Epoch: 6 [14336/46250]	Loss: 0.0879	LR: 0.004000
Training Epoch: 6 [14592/46250]	Loss: 0.1100	LR: 0.004000
Training Epoch: 6 [14848/46250]	Loss: 0.1566	LR: 0.004000
Training Epoch: 6 [15104/46250]	Loss: 0.1165	LR: 0.004000
Training Epoch: 6 [15360/46250]	Loss: 0.1072	LR: 0.004000
Training Epoch: 6 [15616/46250]	Loss: 0.0945	LR: 0.004000
Training Epoch: 6 [15872/46250]	Loss: 0.1263	LR: 0.004000
Training Epoch: 6 [16128/46250]	Loss: 0.1189	LR: 0.004000
Training Epoch: 6 [16384/46250]	Loss: 0.0943	LR: 0.004000
Training Epoch: 6 [16640/46250]	Loss: 0.1110	LR: 0.004000
Training Epoch: 6 [16896/46250]	Loss: 0.0930	LR: 0.004000
Training Epoch: 6 [17152/46250]	Loss: 0.1104	LR: 0.004000
Training Epoch: 6 [17408/46250]	Loss: 0.0983	LR: 0.004000
Training Epoch: 6 [17664/46250]	Loss: 0.0676	LR: 0.004000
Training Epoch: 6 [17920/46250]	Loss: 0.0707	LR: 0.004000
Training Epoch: 6 [18176/46250]	Loss: 0.1089	LR: 0.004000
Training Epoch: 6 [18432/46250]	Loss: 0.1392	LR: 0.004000
Training Epoch: 6 [18688/46250]	Loss: 0.1129	LR: 0.004000
Training Epoch: 6 [18944/46250]	Loss: 0.0929	LR: 0.004000
Training Epoch: 6 [19200/46250]	Loss: 0.1252	LR: 0.004000
Training Epoch: 6 [19456/46250]	Loss: 0.1217	LR: 0.004000
Training Epoch: 6 [19712/46250]	Loss: 0.1256	LR: 0.004000
Training Epoch: 6 [19968/46250]	Loss: 0.1270	LR: 0.004000
Training Epoch: 6 [20224/46250]	Loss: 0.1169	LR: 0.004000
Training Epoch: 6 [20480/46250]	Loss: 0.0971	LR: 0.004000
Training Epoch: 6 [20736/46250]	Loss: 0.1185	LR: 0.004000
Training Epoch: 6 [20992/46250]	Loss: 0.1259	LR: 0.004000
Training Epoch: 6 [21248/46250]	Loss: 0.1202	LR: 0.004000
Training Epoch: 6 [21504/46250]	Loss: 0.1350	LR: 0.004000
Training Epoch: 6 [21760/46250]	Loss: 0.1139	LR: 0.004000
Training Epoch: 6 [22016/46250]	Loss: 0.1010	LR: 0.004000
Training Epoch: 6 [22272/46250]	Loss: 0.1324	LR: 0.004000
Training Epoch: 6 [22528/46250]	Loss: 0.1117	LR: 0.004000
Training Epoch: 6 [22784/46250]	Loss: 0.1146	LR: 0.004000
Training Epoch: 6 [23040/46250]	Loss: 0.1076	LR: 0.004000
Training Epoch: 6 [23296/46250]	Loss: 0.1571	LR: 0.004000
Training Epoch: 6 [23552/46250]	Loss: 0.1217	LR: 0.004000
Training Epoch: 6 [23808/46250]	Loss: 0.0709	LR: 0.004000
Training Epoch: 6 [24064/46250]	Loss: 0.0958	LR: 0.004000
Training Epoch: 6 [24320/46250]	Loss: 0.1068	LR: 0.004000
Training Epoch: 6 [24576/46250]	Loss: 0.1899	LR: 0.004000
Training Epoch: 6 [24832/46250]	Loss: 0.0975	LR: 0.004000
Training Epoch: 6 [25088/46250]	Loss: 0.1279	LR: 0.004000
Training Epoch: 6 [25344/46250]	Loss: 0.1140	LR: 0.004000
Training Epoch: 6 [25600/46250]	Loss: 0.1805	LR: 0.004000
Training Epoch: 6 [25856/46250]	Loss: 0.0973	LR: 0.004000
Training Epoch: 6 [26112/46250]	Loss: 0.1231	LR: 0.004000
Training Epoch: 6 [26368/46250]	Loss: 0.1534	LR: 0.004000
Training Epoch: 6 [26624/46250]	Loss: 0.0986	LR: 0.004000
Training Epoch: 6 [26880/46250]	Loss: 0.1179	LR: 0.004000
Training Epoch: 6 [27136/46250]	Loss: 0.1063	LR: 0.004000
Training Epoch: 6 [27392/46250]	Loss: 0.1291	LR: 0.004000
Training Epoch: 6 [27648/46250]	Loss: 0.1074	LR: 0.004000
Training Epoch: 6 [27904/46250]	Loss: 0.1702	LR: 0.004000
Training Epoch: 6 [28160/46250]	Loss: 0.0942	LR: 0.004000
Training Epoch: 6 [28416/46250]	Loss: 0.1292	LR: 0.004000
Training Epoch: 6 [28672/46250]	Loss: 0.0856	LR: 0.004000
Training Epoch: 6 [28928/46250]	Loss: 0.0899	LR: 0.004000
Training Epoch: 6 [29184/46250]	Loss: 0.1277	LR: 0.004000
Training Epoch: 6 [29440/46250]	Loss: 0.0779	LR: 0.004000
Training Epoch: 6 [29696/46250]	Loss: 0.1025	LR: 0.004000
Training Epoch: 6 [29952/46250]	Loss: 0.1677	LR: 0.004000
Training Epoch: 6 [30208/46250]	Loss: 0.0930	LR: 0.004000
Training Epoch: 6 [30464/46250]	Loss: 0.1087	LR: 0.004000
Training Epoch: 6 [30720/46250]	Loss: 0.0887	LR: 0.004000
Training Epoch: 6 [30976/46250]	Loss: 0.0862	LR: 0.004000
Training Epoch: 6 [31232/46250]	Loss: 0.1217	LR: 0.004000
Training Epoch: 6 [31488/46250]	Loss: 0.0811	LR: 0.004000
Training Epoch: 6 [31744/46250]	Loss: 0.1333	LR: 0.004000
Training Epoch: 6 [32000/46250]	Loss: 0.1238	LR: 0.004000
Training Epoch: 6 [32256/46250]	Loss: 0.1365	LR: 0.004000
Training Epoch: 6 [32512/46250]	Loss: 0.1236	LR: 0.004000
Training Epoch: 6 [32768/46250]	Loss: 0.1234	LR: 0.004000
Training Epoch: 6 [33024/46250]	Loss: 0.0819	LR: 0.004000
Training Epoch: 6 [33280/46250]	Loss: 0.1171	LR: 0.004000
Training Epoch: 6 [33536/46250]	Loss: 0.1226	LR: 0.004000
Training Epoch: 6 [33792/46250]	Loss: 0.0998	LR: 0.004000
Training Epoch: 6 [34048/46250]	Loss: 0.0899	LR: 0.004000
Training Epoch: 6 [34304/46250]	Loss: 0.1070	LR: 0.004000
Training Epoch: 6 [34560/46250]	Loss: 0.1146	LR: 0.004000
Training Epoch: 6 [34816/46250]	Loss: 0.1055	LR: 0.004000
Training Epoch: 6 [35072/46250]	Loss: 0.0750	LR: 0.004000
Training Epoch: 6 [35328/46250]	Loss: 0.0787	LR: 0.004000
Training Epoch: 6 [35584/46250]	Loss: 0.1172	LR: 0.004000
Training Epoch: 6 [35840/46250]	Loss: 0.1025	LR: 0.004000
Training Epoch: 6 [36096/46250]	Loss: 0.0700	LR: 0.004000
Training Epoch: 6 [36352/46250]	Loss: 0.1953	LR: 0.004000
Training Epoch: 6 [36608/46250]	Loss: 0.1089	LR: 0.004000
Training Epoch: 6 [36864/46250]	Loss: 0.0881	LR: 0.004000
Training Epoch: 6 [37120/46250]	Loss: 0.0910	LR: 0.004000
Training Epoch: 6 [37376/46250]	Loss: 0.0975	LR: 0.004000
Training Epoch: 6 [37632/46250]	Loss: 0.0788	LR: 0.004000
Training Epoch: 6 [37888/46250]	Loss: 0.0840	LR: 0.004000
Training Epoch: 6 [38144/46250]	Loss: 0.1208	LR: 0.004000
Training Epoch: 6 [38400/46250]	Loss: 0.1125	LR: 0.004000
Training Epoch: 6 [38656/46250]	Loss: 0.1240	LR: 0.004000
Training Epoch: 6 [38912/46250]	Loss: 0.1241	LR: 0.004000
Training Epoch: 6 [39168/46250]	Loss: 0.1296	LR: 0.004000
Training Epoch: 6 [39424/46250]	Loss: 0.0914	LR: 0.004000
Training Epoch: 6 [39680/46250]	Loss: 0.0797	LR: 0.004000
Training Epoch: 6 [39936/46250]	Loss: 0.1429	LR: 0.004000
Training Epoch: 6 [40192/46250]	Loss: 0.0662	LR: 0.004000
Training Epoch: 6 [40448/46250]	Loss: 0.1058	LR: 0.004000
Training Epoch: 6 [40704/46250]	Loss: 0.0847	LR: 0.004000
Training Epoch: 6 [40960/46250]	Loss: 0.0799	LR: 0.004000
Training Epoch: 6 [41216/46250]	Loss: 0.1156	LR: 0.004000
Training Epoch: 6 [41472/46250]	Loss: 0.0858	LR: 0.004000
Training Epoch: 6 [41728/46250]	Loss: 0.1448	LR: 0.004000
Training Epoch: 6 [41984/46250]	Loss: 0.0920	LR: 0.004000
Training Epoch: 6 [42240/46250]	Loss: 0.0793	LR: 0.004000
Training Epoch: 6 [42496/46250]	Loss: 0.1120	LR: 0.004000
Training Epoch: 6 [42752/46250]	Loss: 0.0757	LR: 0.004000
Training Epoch: 6 [43008/46250]	Loss: 0.1555	LR: 0.004000
Training Epoch: 6 [43264/46250]	Loss: 0.1332	LR: 0.004000
Training Epoch: 6 [43520/46250]	Loss: 0.0721	LR: 0.004000
Training Epoch: 6 [43776/46250]	Loss: 0.1415	LR: 0.004000
Training Epoch: 6 [44032/46250]	Loss: 0.0807	LR: 0.004000
Training Epoch: 6 [44288/46250]	Loss: 0.1007	LR: 0.004000
Training Epoch: 6 [44544/46250]	Loss: 0.0762	LR: 0.004000
Training Epoch: 6 [44800/46250]	Loss: 0.0756	LR: 0.004000
Training Epoch: 6 [45056/46250]	Loss: 0.1163	LR: 0.004000
Training Epoch: 6 [45312/46250]	Loss: 0.0949	LR: 0.004000
Training Epoch: 6 [45568/46250]	Loss: 0.1538	LR: 0.004000
Training Epoch: 6 [45824/46250]	Loss: 0.0824	LR: 0.004000
Training Epoch: 6 [46080/46250]	Loss: 0.1044	LR: 0.004000
Training Epoch: 6 [46250/46250]	Loss: 0.1417	LR: 0.004000
Epoch 6 - Average Train Loss: 0.1117, Train Accuracy: 0.9696
Epoch 6 training time consumed: 18.23s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0024, Accuracy: 0.8222, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_11h_38m_16s/ResNet18-Cifar10-seed3-ret25-6-best.pth
Training Epoch: 7 [256/46250]	Loss: 0.0724	LR: 0.004000
Training Epoch: 7 [512/46250]	Loss: 0.0700	LR: 0.004000
Training Epoch: 7 [768/46250]	Loss: 0.0646	LR: 0.004000
Training Epoch: 7 [1024/46250]	Loss: 0.0675	LR: 0.004000
Training Epoch: 7 [1280/46250]	Loss: 0.0687	LR: 0.004000
Training Epoch: 7 [1536/46250]	Loss: 0.0657	LR: 0.004000
Training Epoch: 7 [1792/46250]	Loss: 0.0366	LR: 0.004000
Training Epoch: 7 [2048/46250]	Loss: 0.0595	LR: 0.004000
Training Epoch: 7 [2304/46250]	Loss: 0.0721	LR: 0.004000
Training Epoch: 7 [2560/46250]	Loss: 0.0576	LR: 0.004000
Training Epoch: 7 [2816/46250]	Loss: 0.0693	LR: 0.004000
Training Epoch: 7 [3072/46250]	Loss: 0.0705	LR: 0.004000
Training Epoch: 7 [3328/46250]	Loss: 0.0443	LR: 0.004000
Training Epoch: 7 [3584/46250]	Loss: 0.0500	LR: 0.004000
Training Epoch: 7 [3840/46250]	Loss: 0.0618	LR: 0.004000
Training Epoch: 7 [4096/46250]	Loss: 0.0431	LR: 0.004000
Training Epoch: 7 [4352/46250]	Loss: 0.1098	LR: 0.004000
Training Epoch: 7 [4608/46250]	Loss: 0.0644	LR: 0.004000
Training Epoch: 7 [4864/46250]	Loss: 0.0505	LR: 0.004000
Training Epoch: 7 [5120/46250]	Loss: 0.0934	LR: 0.004000
Training Epoch: 7 [5376/46250]	Loss: 0.0566	LR: 0.004000
Training Epoch: 7 [5632/46250]	Loss: 0.0641	LR: 0.004000
Training Epoch: 7 [5888/46250]	Loss: 0.0371	LR: 0.004000
Training Epoch: 7 [6144/46250]	Loss: 0.0465	LR: 0.004000
Training Epoch: 7 [6400/46250]	Loss: 0.0699	LR: 0.004000
Training Epoch: 7 [6656/46250]	Loss: 0.0477	LR: 0.004000
Training Epoch: 7 [6912/46250]	Loss: 0.0598	LR: 0.004000
Training Epoch: 7 [7168/46250]	Loss: 0.0570	LR: 0.004000
Training Epoch: 7 [7424/46250]	Loss: 0.0866	LR: 0.004000
Training Epoch: 7 [7680/46250]	Loss: 0.0482	LR: 0.004000
Training Epoch: 7 [7936/46250]	Loss: 0.0583	LR: 0.004000
Training Epoch: 7 [8192/46250]	Loss: 0.0459	LR: 0.004000
Training Epoch: 7 [8448/46250]	Loss: 0.0901	LR: 0.004000
Training Epoch: 7 [8704/46250]	Loss: 0.0564	LR: 0.004000
Training Epoch: 7 [8960/46250]	Loss: 0.0434	LR: 0.004000
Training Epoch: 7 [9216/46250]	Loss: 0.0489	LR: 0.004000
Training Epoch: 7 [9472/46250]	Loss: 0.0452	LR: 0.004000
Training Epoch: 7 [9728/46250]	Loss: 0.0472	LR: 0.004000
Training Epoch: 7 [9984/46250]	Loss: 0.0471	LR: 0.004000
Training Epoch: 7 [10240/46250]	Loss: 0.0521	LR: 0.004000
Training Epoch: 7 [10496/46250]	Loss: 0.0605	LR: 0.004000
Training Epoch: 7 [10752/46250]	Loss: 0.0483	LR: 0.004000
Training Epoch: 7 [11008/46250]	Loss: 0.0447	LR: 0.004000
Training Epoch: 7 [11264/46250]	Loss: 0.0632	LR: 0.004000
Training Epoch: 7 [11520/46250]	Loss: 0.0424	LR: 0.004000
Training Epoch: 7 [11776/46250]	Loss: 0.0318	LR: 0.004000
Training Epoch: 7 [12032/46250]	Loss: 0.0411	LR: 0.004000
Training Epoch: 7 [12288/46250]	Loss: 0.0438	LR: 0.004000
Training Epoch: 7 [12544/46250]	Loss: 0.0611	LR: 0.004000
Training Epoch: 7 [12800/46250]	Loss: 0.0591	LR: 0.004000
Training Epoch: 7 [13056/46250]	Loss: 0.0444	LR: 0.004000
Training Epoch: 7 [13312/46250]	Loss: 0.0544	LR: 0.004000
Training Epoch: 7 [13568/46250]	Loss: 0.0487	LR: 0.004000
Training Epoch: 7 [13824/46250]	Loss: 0.0405	LR: 0.004000
Training Epoch: 7 [14080/46250]	Loss: 0.0559	LR: 0.004000
Training Epoch: 7 [14336/46250]	Loss: 0.0649	LR: 0.004000
Training Epoch: 7 [14592/46250]	Loss: 0.0654	LR: 0.004000
Training Epoch: 7 [14848/46250]	Loss: 0.0453	LR: 0.004000
Training Epoch: 7 [15104/46250]	Loss: 0.0460	LR: 0.004000
Training Epoch: 7 [15360/46250]	Loss: 0.0687	LR: 0.004000
Training Epoch: 7 [15616/46250]	Loss: 0.0590	LR: 0.004000
Training Epoch: 7 [15872/46250]	Loss: 0.0400	LR: 0.004000
Training Epoch: 7 [16128/46250]	Loss: 0.0569	LR: 0.004000
Training Epoch: 7 [16384/46250]	Loss: 0.0826	LR: 0.004000
Training Epoch: 7 [16640/46250]	Loss: 0.0449	LR: 0.004000
Training Epoch: 7 [16896/46250]	Loss: 0.0631	LR: 0.004000
Training Epoch: 7 [17152/46250]	Loss: 0.0501	LR: 0.004000
Training Epoch: 7 [17408/46250]	Loss: 0.0698	LR: 0.004000
Training Epoch: 7 [17664/46250]	Loss: 0.0679	LR: 0.004000
Training Epoch: 7 [17920/46250]	Loss: 0.0584	LR: 0.004000
Training Epoch: 7 [18176/46250]	Loss: 0.0381	LR: 0.004000
Training Epoch: 7 [18432/46250]	Loss: 0.0519	LR: 0.004000
Training Epoch: 7 [18688/46250]	Loss: 0.0770	LR: 0.004000
Training Epoch: 7 [18944/46250]	Loss: 0.0432	LR: 0.004000
Training Epoch: 7 [19200/46250]	Loss: 0.0428	LR: 0.004000
Training Epoch: 7 [19456/46250]	Loss: 0.0314	LR: 0.004000
Training Epoch: 7 [19712/46250]	Loss: 0.0601	LR: 0.004000
Training Epoch: 7 [19968/46250]	Loss: 0.0507	LR: 0.004000
Training Epoch: 7 [20224/46250]	Loss: 0.0479	LR: 0.004000
Training Epoch: 7 [20480/46250]	Loss: 0.0544	LR: 0.004000
Training Epoch: 7 [20736/46250]	Loss: 0.0512	LR: 0.004000
Training Epoch: 7 [20992/46250]	Loss: 0.0486	LR: 0.004000
Training Epoch: 7 [21248/46250]	Loss: 0.0375	LR: 0.004000
Training Epoch: 7 [21504/46250]	Loss: 0.0503	LR: 0.004000
Training Epoch: 7 [21760/46250]	Loss: 0.0670	LR: 0.004000
Training Epoch: 7 [22016/46250]	Loss: 0.0456	LR: 0.004000
Training Epoch: 7 [22272/46250]	Loss: 0.0392	LR: 0.004000
Training Epoch: 7 [22528/46250]	Loss: 0.0300	LR: 0.004000
Training Epoch: 7 [22784/46250]	Loss: 0.0412	LR: 0.004000
Training Epoch: 7 [23040/46250]	Loss: 0.0456	LR: 0.004000
Training Epoch: 7 [23296/46250]	Loss: 0.0443	LR: 0.004000
Training Epoch: 7 [23552/46250]	Loss: 0.0674	LR: 0.004000
Training Epoch: 7 [23808/46250]	Loss: 0.0487	LR: 0.004000
Training Epoch: 7 [24064/46250]	Loss: 0.0745	LR: 0.004000
Training Epoch: 7 [24320/46250]	Loss: 0.0557	LR: 0.004000
Training Epoch: 7 [24576/46250]	Loss: 0.0509	LR: 0.004000
Training Epoch: 7 [24832/46250]	Loss: 0.0331	LR: 0.004000
Training Epoch: 7 [25088/46250]	Loss: 0.0427	LR: 0.004000
Training Epoch: 7 [25344/46250]	Loss: 0.0317	LR: 0.004000
Training Epoch: 7 [25600/46250]	Loss: 0.0433	LR: 0.004000
Training Epoch: 7 [25856/46250]	Loss: 0.0442	LR: 0.004000
Training Epoch: 7 [26112/46250]	Loss: 0.0481	LR: 0.004000
Training Epoch: 7 [26368/46250]	Loss: 0.0633	LR: 0.004000
Training Epoch: 7 [26624/46250]	Loss: 0.0461	LR: 0.004000
Training Epoch: 7 [26880/46250]	Loss: 0.0540	LR: 0.004000
Training Epoch: 7 [27136/46250]	Loss: 0.0542	LR: 0.004000
Training Epoch: 7 [27392/46250]	Loss: 0.0411	LR: 0.004000
Training Epoch: 7 [27648/46250]	Loss: 0.0684	LR: 0.004000
Training Epoch: 7 [27904/46250]	Loss: 0.0618	LR: 0.004000
Training Epoch: 7 [28160/46250]	Loss: 0.0522	LR: 0.004000
Training Epoch: 7 [28416/46250]	Loss: 0.0517	LR: 0.004000
Training Epoch: 7 [28672/46250]	Loss: 0.0618	LR: 0.004000
Training Epoch: 7 [28928/46250]	Loss: 0.0451	LR: 0.004000
Training Epoch: 7 [29184/46250]	Loss: 0.0569	LR: 0.004000
Training Epoch: 7 [29440/46250]	Loss: 0.0730	LR: 0.004000
Training Epoch: 7 [29696/46250]	Loss: 0.0679	LR: 0.004000
Training Epoch: 7 [29952/46250]	Loss: 0.0527	LR: 0.004000
Training Epoch: 7 [30208/46250]	Loss: 0.0627	LR: 0.004000
Training Epoch: 7 [30464/46250]	Loss: 0.0576	LR: 0.004000
Training Epoch: 7 [30720/46250]	Loss: 0.0572	LR: 0.004000
Training Epoch: 7 [30976/46250]	Loss: 0.0530	LR: 0.004000
Training Epoch: 7 [31232/46250]	Loss: 0.0514	LR: 0.004000
Training Epoch: 7 [31488/46250]	Loss: 0.0604	LR: 0.004000
Training Epoch: 7 [31744/46250]	Loss: 0.0561	LR: 0.004000
Training Epoch: 7 [32000/46250]	Loss: 0.0464	LR: 0.004000
Training Epoch: 7 [32256/46250]	Loss: 0.0580	LR: 0.004000
Training Epoch: 7 [32512/46250]	Loss: 0.0471	LR: 0.004000
Training Epoch: 7 [32768/46250]	Loss: 0.0607	LR: 0.004000
Training Epoch: 7 [33024/46250]	Loss: 0.0656	LR: 0.004000
Training Epoch: 7 [33280/46250]	Loss: 0.0614	LR: 0.004000
Training Epoch: 7 [33536/46250]	Loss: 0.0691	LR: 0.004000
Training Epoch: 7 [33792/46250]	Loss: 0.0445	LR: 0.004000
Training Epoch: 7 [34048/46250]	Loss: 0.0473	LR: 0.004000
Training Epoch: 7 [34304/46250]	Loss: 0.0675	LR: 0.004000
Training Epoch: 7 [34560/46250]	Loss: 0.0595	LR: 0.004000
Training Epoch: 7 [34816/46250]	Loss: 0.0609	LR: 0.004000
Training Epoch: 7 [35072/46250]	Loss: 0.0466	LR: 0.004000
Training Epoch: 7 [35328/46250]	Loss: 0.0700	LR: 0.004000
Training Epoch: 7 [35584/46250]	Loss: 0.0637	LR: 0.004000
Training Epoch: 7 [35840/46250]	Loss: 0.0588	LR: 0.004000
Training Epoch: 7 [36096/46250]	Loss: 0.0569	LR: 0.004000
Training Epoch: 7 [36352/46250]	Loss: 0.0498	LR: 0.004000
Training Epoch: 7 [36608/46250]	Loss: 0.0395	LR: 0.004000
Training Epoch: 7 [36864/46250]	Loss: 0.0501	LR: 0.004000
Training Epoch: 7 [37120/46250]	Loss: 0.0505	LR: 0.004000
Training Epoch: 7 [37376/46250]	Loss: 0.0451	LR: 0.004000
Training Epoch: 7 [37632/46250]	Loss: 0.0527	LR: 0.004000
Training Epoch: 7 [37888/46250]	Loss: 0.0361	LR: 0.004000
Training Epoch: 7 [38144/46250]	Loss: 0.0524	LR: 0.004000
Training Epoch: 7 [38400/46250]	Loss: 0.0534	LR: 0.004000
Training Epoch: 7 [38656/46250]	Loss: 0.0728	LR: 0.004000
Training Epoch: 7 [38912/46250]	Loss: 0.0637	LR: 0.004000
Training Epoch: 7 [39168/46250]	Loss: 0.0465	LR: 0.004000
Training Epoch: 7 [39424/46250]	Loss: 0.0452	LR: 0.004000
Training Epoch: 7 [39680/46250]	Loss: 0.0357	LR: 0.004000
Training Epoch: 7 [39936/46250]	Loss: 0.0420	LR: 0.004000
Training Epoch: 7 [40192/46250]	Loss: 0.0372	LR: 0.004000
Training Epoch: 7 [40448/46250]	Loss: 0.0583	LR: 0.004000
Training Epoch: 7 [40704/46250]	Loss: 0.0638	LR: 0.004000
Training Epoch: 7 [40960/46250]	Loss: 0.0698	LR: 0.004000
Training Epoch: 7 [41216/46250]	Loss: 0.0527	LR: 0.004000
Training Epoch: 7 [41472/46250]	Loss: 0.0842	LR: 0.004000
Training Epoch: 7 [41728/46250]	Loss: 0.0493	LR: 0.004000
Training Epoch: 7 [41984/46250]	Loss: 0.0544	LR: 0.004000
Training Epoch: 7 [42240/46250]	Loss: 0.0605	LR: 0.004000
Training Epoch: 7 [42496/46250]	Loss: 0.0454	LR: 0.004000
Training Epoch: 7 [42752/46250]	Loss: 0.0510	LR: 0.004000
Training Epoch: 7 [43008/46250]	Loss: 0.0543	LR: 0.004000
Training Epoch: 7 [43264/46250]	Loss: 0.0755	LR: 0.004000
Training Epoch: 7 [43520/46250]	Loss: 0.0604	LR: 0.004000
Training Epoch: 7 [43776/46250]	Loss: 0.0647	LR: 0.004000
Training Epoch: 7 [44032/46250]	Loss: 0.0636	LR: 0.004000
Training Epoch: 7 [44288/46250]	Loss: 0.0590	LR: 0.004000
Training Epoch: 7 [44544/46250]	Loss: 0.0531	LR: 0.004000
Training Epoch: 7 [44800/46250]	Loss: 0.0616	LR: 0.004000
Training Epoch: 7 [45056/46250]	Loss: 0.0682	LR: 0.004000
Training Epoch: 7 [45312/46250]	Loss: 0.0408	LR: 0.004000
Training Epoch: 7 [45568/46250]	Loss: 0.0382	LR: 0.004000
Training Epoch: 7 [45824/46250]	Loss: 0.0423	LR: 0.004000
Training Epoch: 7 [46080/46250]	Loss: 0.0366	LR: 0.004000
Training Epoch: 7 [46250/46250]	Loss: 0.0345	LR: 0.004000
Epoch 7 - Average Train Loss: 0.0548, Train Accuracy: 0.9891
Epoch 7 training time consumed: 18.19s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0025, Accuracy: 0.8213, Time consumed:1.03s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_11h_38m_16s/ResNet18-Cifar10-seed3-ret25-7-best.pth
Training Epoch: 8 [256/46250]	Loss: 0.0325	LR: 0.004000
Training Epoch: 8 [512/46250]	Loss: 0.0336	LR: 0.004000
Training Epoch: 8 [768/46250]	Loss: 0.0271	LR: 0.004000
Training Epoch: 8 [1024/46250]	Loss: 0.0290	LR: 0.004000
Training Epoch: 8 [1280/46250]	Loss: 0.0223	LR: 0.004000
Training Epoch: 8 [1536/46250]	Loss: 0.0324	LR: 0.004000
Training Epoch: 8 [1792/46250]	Loss: 0.0286	LR: 0.004000
Training Epoch: 8 [2048/46250]	Loss: 0.0224	LR: 0.004000
Training Epoch: 8 [2304/46250]	Loss: 0.0398	LR: 0.004000
Training Epoch: 8 [2560/46250]	Loss: 0.0271	LR: 0.004000
Training Epoch: 8 [2816/46250]	Loss: 0.0294	LR: 0.004000
Training Epoch: 8 [3072/46250]	Loss: 0.0184	LR: 0.004000
Training Epoch: 8 [3328/46250]	Loss: 0.0320	LR: 0.004000
Training Epoch: 8 [3584/46250]	Loss: 0.0275	LR: 0.004000
Training Epoch: 8 [3840/46250]	Loss: 0.0250	LR: 0.004000
Training Epoch: 8 [4096/46250]	Loss: 0.0364	LR: 0.004000
Training Epoch: 8 [4352/46250]	Loss: 0.0227	LR: 0.004000
Training Epoch: 8 [4608/46250]	Loss: 0.0253	LR: 0.004000
Training Epoch: 8 [4864/46250]	Loss: 0.0232	LR: 0.004000
Training Epoch: 8 [5120/46250]	Loss: 0.0253	LR: 0.004000
Training Epoch: 8 [5376/46250]	Loss: 0.0207	LR: 0.004000
Training Epoch: 8 [5632/46250]	Loss: 0.0219	LR: 0.004000
Training Epoch: 8 [5888/46250]	Loss: 0.0210	LR: 0.004000
Training Epoch: 8 [6144/46250]	Loss: 0.0374	LR: 0.004000
Training Epoch: 8 [6400/46250]	Loss: 0.0236	LR: 0.004000
Training Epoch: 8 [6656/46250]	Loss: 0.0251	LR: 0.004000
Training Epoch: 8 [6912/46250]	Loss: 0.0257	LR: 0.004000
Training Epoch: 8 [7168/46250]	Loss: 0.0286	LR: 0.004000
Training Epoch: 8 [7424/46250]	Loss: 0.0211	LR: 0.004000
Training Epoch: 8 [7680/46250]	Loss: 0.0249	LR: 0.004000
Training Epoch: 8 [7936/46250]	Loss: 0.0323	LR: 0.004000
Training Epoch: 8 [8192/46250]	Loss: 0.0204	LR: 0.004000
Training Epoch: 8 [8448/46250]	Loss: 0.0263	LR: 0.004000
Training Epoch: 8 [8704/46250]	Loss: 0.0182	LR: 0.004000
Training Epoch: 8 [8960/46250]	Loss: 0.0263	LR: 0.004000
Training Epoch: 8 [9216/46250]	Loss: 0.0225	LR: 0.004000
Training Epoch: 8 [9472/46250]	Loss: 0.0279	LR: 0.004000
Training Epoch: 8 [9728/46250]	Loss: 0.0208	LR: 0.004000
Training Epoch: 8 [9984/46250]	Loss: 0.0213	LR: 0.004000
Training Epoch: 8 [10240/46250]	Loss: 0.0325	LR: 0.004000
Training Epoch: 8 [10496/46250]	Loss: 0.0169	LR: 0.004000
Training Epoch: 8 [10752/46250]	Loss: 0.0181	LR: 0.004000
Training Epoch: 8 [11008/46250]	Loss: 0.0238	LR: 0.004000
Training Epoch: 8 [11264/46250]	Loss: 0.0263	LR: 0.004000
Training Epoch: 8 [11520/46250]	Loss: 0.0291	LR: 0.004000
Training Epoch: 8 [11776/46250]	Loss: 0.0293	LR: 0.004000
Training Epoch: 8 [12032/46250]	Loss: 0.0193	LR: 0.004000
Training Epoch: 8 [12288/46250]	Loss: 0.0264	LR: 0.004000
Training Epoch: 8 [12544/46250]	Loss: 0.0274	LR: 0.004000
Training Epoch: 8 [12800/46250]	Loss: 0.0258	LR: 0.004000
Training Epoch: 8 [13056/46250]	Loss: 0.0206	LR: 0.004000
Training Epoch: 8 [13312/46250]	Loss: 0.0204	LR: 0.004000
Training Epoch: 8 [13568/46250]	Loss: 0.0286	LR: 0.004000
Training Epoch: 8 [13824/46250]	Loss: 0.0200	LR: 0.004000
Training Epoch: 8 [14080/46250]	Loss: 0.0163	LR: 0.004000
Training Epoch: 8 [14336/46250]	Loss: 0.0382	LR: 0.004000
Training Epoch: 8 [14592/46250]	Loss: 0.0221	LR: 0.004000
Training Epoch: 8 [14848/46250]	Loss: 0.0189	LR: 0.004000
Training Epoch: 8 [15104/46250]	Loss: 0.0210	LR: 0.004000
Training Epoch: 8 [15360/46250]	Loss: 0.0223	LR: 0.004000
Training Epoch: 8 [15616/46250]	Loss: 0.0192	LR: 0.004000
Training Epoch: 8 [15872/46250]	Loss: 0.0201	LR: 0.004000
Training Epoch: 8 [16128/46250]	Loss: 0.0275	LR: 0.004000
Training Epoch: 8 [16384/46250]	Loss: 0.0162	LR: 0.004000
Training Epoch: 8 [16640/46250]	Loss: 0.0177	LR: 0.004000
Training Epoch: 8 [16896/46250]	Loss: 0.0187	LR: 0.004000
Training Epoch: 8 [17152/46250]	Loss: 0.0297	LR: 0.004000
Training Epoch: 8 [17408/46250]	Loss: 0.0344	LR: 0.004000
Training Epoch: 8 [17664/46250]	Loss: 0.0261	LR: 0.004000
Training Epoch: 8 [17920/46250]	Loss: 0.0206	LR: 0.004000
Training Epoch: 8 [18176/46250]	Loss: 0.0264	LR: 0.004000
Training Epoch: 8 [18432/46250]	Loss: 0.0319	LR: 0.004000
Training Epoch: 8 [18688/46250]	Loss: 0.0186	LR: 0.004000
Training Epoch: 8 [18944/46250]	Loss: 0.0154	LR: 0.004000
Training Epoch: 8 [19200/46250]	Loss: 0.0261	LR: 0.004000
Training Epoch: 8 [19456/46250]	Loss: 0.0216	LR: 0.004000
Training Epoch: 8 [19712/46250]	Loss: 0.0271	LR: 0.004000
Training Epoch: 8 [19968/46250]	Loss: 0.0140	LR: 0.004000
Training Epoch: 8 [20224/46250]	Loss: 0.0274	LR: 0.004000
Training Epoch: 8 [20480/46250]	Loss: 0.0205	LR: 0.004000
Training Epoch: 8 [20736/46250]	Loss: 0.0157	LR: 0.004000
Training Epoch: 8 [20992/46250]	Loss: 0.0185	LR: 0.004000
Training Epoch: 8 [21248/46250]	Loss: 0.0283	LR: 0.004000
Training Epoch: 8 [21504/46250]	Loss: 0.0231	LR: 0.004000
Training Epoch: 8 [21760/46250]	Loss: 0.0176	LR: 0.004000
Training Epoch: 8 [22016/46250]	Loss: 0.0330	LR: 0.004000
Training Epoch: 8 [22272/46250]	Loss: 0.0198	LR: 0.004000
Training Epoch: 8 [22528/46250]	Loss: 0.0287	LR: 0.004000
Training Epoch: 8 [22784/46250]	Loss: 0.0206	LR: 0.004000
Training Epoch: 8 [23040/46250]	Loss: 0.0171	LR: 0.004000
Training Epoch: 8 [23296/46250]	Loss: 0.0211	LR: 0.004000
Training Epoch: 8 [23552/46250]	Loss: 0.0234	LR: 0.004000
Training Epoch: 8 [23808/46250]	Loss: 0.0163	LR: 0.004000
Training Epoch: 8 [24064/46250]	Loss: 0.0169	LR: 0.004000
Training Epoch: 8 [24320/46250]	Loss: 0.0466	LR: 0.004000
Training Epoch: 8 [24576/46250]	Loss: 0.0223	LR: 0.004000
Training Epoch: 8 [24832/46250]	Loss: 0.0213	LR: 0.004000
Training Epoch: 8 [25088/46250]	Loss: 0.0138	LR: 0.004000
Training Epoch: 8 [25344/46250]	Loss: 0.0191	LR: 0.004000
Training Epoch: 8 [25600/46250]	Loss: 0.0227	LR: 0.004000
Training Epoch: 8 [25856/46250]	Loss: 0.0227	LR: 0.004000
Training Epoch: 8 [26112/46250]	Loss: 0.0183	LR: 0.004000
Training Epoch: 8 [26368/46250]	Loss: 0.0190	LR: 0.004000
Training Epoch: 8 [26624/46250]	Loss: 0.0204	LR: 0.004000
Training Epoch: 8 [26880/46250]	Loss: 0.0448	LR: 0.004000
Training Epoch: 8 [27136/46250]	Loss: 0.0343	LR: 0.004000
Training Epoch: 8 [27392/46250]	Loss: 0.0157	LR: 0.004000
Training Epoch: 8 [27648/46250]	Loss: 0.0302	LR: 0.004000
Training Epoch: 8 [27904/46250]	Loss: 0.0149	LR: 0.004000
Training Epoch: 8 [28160/46250]	Loss: 0.0154	LR: 0.004000
Training Epoch: 8 [28416/46250]	Loss: 0.0243	LR: 0.004000
Training Epoch: 8 [28672/46250]	Loss: 0.0285	LR: 0.004000
Training Epoch: 8 [28928/46250]	Loss: 0.0166	LR: 0.004000
Training Epoch: 8 [29184/46250]	Loss: 0.0157	LR: 0.004000
Training Epoch: 8 [29440/46250]	Loss: 0.0170	LR: 0.004000
Training Epoch: 8 [29696/46250]	Loss: 0.0302	LR: 0.004000
Training Epoch: 8 [29952/46250]	Loss: 0.0233	LR: 0.004000
Training Epoch: 8 [30208/46250]	Loss: 0.0396	LR: 0.004000
Training Epoch: 8 [30464/46250]	Loss: 0.0188	LR: 0.004000
Training Epoch: 8 [30720/46250]	Loss: 0.0190	LR: 0.004000
Training Epoch: 8 [30976/46250]	Loss: 0.0209	LR: 0.004000
Training Epoch: 8 [31232/46250]	Loss: 0.0142	LR: 0.004000
Training Epoch: 8 [31488/46250]	Loss: 0.0175	LR: 0.004000
Training Epoch: 8 [31744/46250]	Loss: 0.0221	LR: 0.004000
Training Epoch: 8 [32000/46250]	Loss: 0.0165	LR: 0.004000
Training Epoch: 8 [32256/46250]	Loss: 0.0213	LR: 0.004000
Training Epoch: 8 [32512/46250]	Loss: 0.0229	LR: 0.004000
Training Epoch: 8 [32768/46250]	Loss: 0.0161	LR: 0.004000
Training Epoch: 8 [33024/46250]	Loss: 0.0200	LR: 0.004000
Training Epoch: 8 [33280/46250]	Loss: 0.0303	LR: 0.004000
Training Epoch: 8 [33536/46250]	Loss: 0.0255	LR: 0.004000
Training Epoch: 8 [33792/46250]	Loss: 0.0234	LR: 0.004000
Training Epoch: 8 [34048/46250]	Loss: 0.0329	LR: 0.004000
Training Epoch: 8 [34304/46250]	Loss: 0.0211	LR: 0.004000
Training Epoch: 8 [34560/46250]	Loss: 0.0148	LR: 0.004000
Training Epoch: 8 [34816/46250]	Loss: 0.0155	LR: 0.004000
Training Epoch: 8 [35072/46250]	Loss: 0.0246	LR: 0.004000
Training Epoch: 8 [35328/46250]	Loss: 0.0254	LR: 0.004000
Training Epoch: 8 [35584/46250]	Loss: 0.0340	LR: 0.004000
Training Epoch: 8 [35840/46250]	Loss: 0.0232	LR: 0.004000
Training Epoch: 8 [36096/46250]	Loss: 0.0303	LR: 0.004000
Training Epoch: 8 [36352/46250]	Loss: 0.0321	LR: 0.004000
Training Epoch: 8 [36608/46250]	Loss: 0.0179	LR: 0.004000
Training Epoch: 8 [36864/46250]	Loss: 0.0313	LR: 0.004000
Training Epoch: 8 [37120/46250]	Loss: 0.0268	LR: 0.004000
Training Epoch: 8 [37376/46250]	Loss: 0.0210	LR: 0.004000
Training Epoch: 8 [37632/46250]	Loss: 0.0197	LR: 0.004000
Training Epoch: 8 [37888/46250]	Loss: 0.0154	LR: 0.004000
Training Epoch: 8 [38144/46250]	Loss: 0.0202	LR: 0.004000
Training Epoch: 8 [38400/46250]	Loss: 0.0200	LR: 0.004000
Training Epoch: 8 [38656/46250]	Loss: 0.0414	LR: 0.004000
Training Epoch: 8 [38912/46250]	Loss: 0.0240	LR: 0.004000
Training Epoch: 8 [39168/46250]	Loss: 0.0345	LR: 0.004000
Training Epoch: 8 [39424/46250]	Loss: 0.0270	LR: 0.004000
Training Epoch: 8 [39680/46250]	Loss: 0.0233	LR: 0.004000
Training Epoch: 8 [39936/46250]	Loss: 0.0193	LR: 0.004000
Training Epoch: 8 [40192/46250]	Loss: 0.0158	LR: 0.004000
Training Epoch: 8 [40448/46250]	Loss: 0.0275	LR: 0.004000
Training Epoch: 8 [40704/46250]	Loss: 0.0259	LR: 0.004000
Training Epoch: 8 [40960/46250]	Loss: 0.0260	LR: 0.004000
Training Epoch: 8 [41216/46250]	Loss: 0.0222	LR: 0.004000
Training Epoch: 8 [41472/46250]	Loss: 0.0155	LR: 0.004000
Training Epoch: 8 [41728/46250]	Loss: 0.0286	LR: 0.004000
Training Epoch: 8 [41984/46250]	Loss: 0.0201	LR: 0.004000
Training Epoch: 8 [42240/46250]	Loss: 0.0266	LR: 0.004000
Training Epoch: 8 [42496/46250]	Loss: 0.0171	LR: 0.004000
Training Epoch: 8 [42752/46250]	Loss: 0.0195	LR: 0.004000
Training Epoch: 8 [43008/46250]	Loss: 0.0156	LR: 0.004000
Training Epoch: 8 [43264/46250]	Loss: 0.0436	LR: 0.004000
Training Epoch: 8 [43520/46250]	Loss: 0.0169	LR: 0.004000
Training Epoch: 8 [43776/46250]	Loss: 0.0246	LR: 0.004000
Training Epoch: 8 [44032/46250]	Loss: 0.0234	LR: 0.004000
Training Epoch: 8 [44288/46250]	Loss: 0.0200	LR: 0.004000
Training Epoch: 8 [44544/46250]	Loss: 0.0230	LR: 0.004000
Training Epoch: 8 [44800/46250]	Loss: 0.0196	LR: 0.004000
Training Epoch: 8 [45056/46250]	Loss: 0.0278	LR: 0.004000
Training Epoch: 8 [45312/46250]	Loss: 0.0188	LR: 0.004000
Training Epoch: 8 [45568/46250]	Loss: 0.0180	LR: 0.004000
Training Epoch: 8 [45824/46250]	Loss: 0.0211	LR: 0.004000
Training Epoch: 8 [46080/46250]	Loss: 0.0178	LR: 0.004000
Training Epoch: 8 [46250/46250]	Loss: 0.0271	LR: 0.004000
Epoch 8 - Average Train Loss: 0.0238, Train Accuracy: 0.9979
Epoch 8 training time consumed: 18.02s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0026, Accuracy: 0.8197, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_11h_38m_16s/ResNet18-Cifar10-seed3-ret25-8-best.pth
Training Epoch: 9 [256/46250]	Loss: 0.0170	LR: 0.000800
Training Epoch: 9 [512/46250]	Loss: 0.0144	LR: 0.000800
Training Epoch: 9 [768/46250]	Loss: 0.0149	LR: 0.000800
Training Epoch: 9 [1024/46250]	Loss: 0.0126	LR: 0.000800
Training Epoch: 9 [1280/46250]	Loss: 0.0147	LR: 0.000800
Training Epoch: 9 [1536/46250]	Loss: 0.0142	LR: 0.000800
Training Epoch: 9 [1792/46250]	Loss: 0.0111	LR: 0.000800
Training Epoch: 9 [2048/46250]	Loss: 0.0133	LR: 0.000800
Training Epoch: 9 [2304/46250]	Loss: 0.0150	LR: 0.000800
Training Epoch: 9 [2560/46250]	Loss: 0.0165	LR: 0.000800
Training Epoch: 9 [2816/46250]	Loss: 0.0138	LR: 0.000800
Training Epoch: 9 [3072/46250]	Loss: 0.0084	LR: 0.000800
Training Epoch: 9 [3328/46250]	Loss: 0.0130	LR: 0.000800
Training Epoch: 9 [3584/46250]	Loss: 0.0128	LR: 0.000800
Training Epoch: 9 [3840/46250]	Loss: 0.0105	LR: 0.000800
Training Epoch: 9 [4096/46250]	Loss: 0.0115	LR: 0.000800
Training Epoch: 9 [4352/46250]	Loss: 0.0110	LR: 0.000800
Training Epoch: 9 [4608/46250]	Loss: 0.0148	LR: 0.000800
Training Epoch: 9 [4864/46250]	Loss: 0.0127	LR: 0.000800
Training Epoch: 9 [5120/46250]	Loss: 0.0178	LR: 0.000800
Training Epoch: 9 [5376/46250]	Loss: 0.0123	LR: 0.000800
Training Epoch: 9 [5632/46250]	Loss: 0.0124	LR: 0.000800
Training Epoch: 9 [5888/46250]	Loss: 0.0113	LR: 0.000800
Training Epoch: 9 [6144/46250]	Loss: 0.0123	LR: 0.000800
Training Epoch: 9 [6400/46250]	Loss: 0.0156	LR: 0.000800
Training Epoch: 9 [6656/46250]	Loss: 0.0115	LR: 0.000800
Training Epoch: 9 [6912/46250]	Loss: 0.0176	LR: 0.000800
Training Epoch: 9 [7168/46250]	Loss: 0.0124	LR: 0.000800
Training Epoch: 9 [7424/46250]	Loss: 0.0193	LR: 0.000800
Training Epoch: 9 [7680/46250]	Loss: 0.0123	LR: 0.000800
Training Epoch: 9 [7936/46250]	Loss: 0.0112	LR: 0.000800
Training Epoch: 9 [8192/46250]	Loss: 0.0134	LR: 0.000800
Training Epoch: 9 [8448/46250]	Loss: 0.0096	LR: 0.000800
Training Epoch: 9 [8704/46250]	Loss: 0.0120	LR: 0.000800
Training Epoch: 9 [8960/46250]	Loss: 0.0121	LR: 0.000800
Training Epoch: 9 [9216/46250]	Loss: 0.0159	LR: 0.000800
Training Epoch: 9 [9472/46250]	Loss: 0.0107	LR: 0.000800
Training Epoch: 9 [9728/46250]	Loss: 0.0108	LR: 0.000800
Training Epoch: 9 [9984/46250]	Loss: 0.0118	LR: 0.000800
Training Epoch: 9 [10240/46250]	Loss: 0.0120	LR: 0.000800
Training Epoch: 9 [10496/46250]	Loss: 0.0100	LR: 0.000800
Training Epoch: 9 [10752/46250]	Loss: 0.0093	LR: 0.000800
Training Epoch: 9 [11008/46250]	Loss: 0.0132	LR: 0.000800
Training Epoch: 9 [11264/46250]	Loss: 0.0139	LR: 0.000800
Training Epoch: 9 [11520/46250]	Loss: 0.0157	LR: 0.000800
Training Epoch: 9 [11776/46250]	Loss: 0.0142	LR: 0.000800
Training Epoch: 9 [12032/46250]	Loss: 0.0131	LR: 0.000800
Training Epoch: 9 [12288/46250]	Loss: 0.0095	LR: 0.000800
Training Epoch: 9 [12544/46250]	Loss: 0.0147	LR: 0.000800
Training Epoch: 9 [12800/46250]	Loss: 0.0093	LR: 0.000800
Training Epoch: 9 [13056/46250]	Loss: 0.0171	LR: 0.000800
Training Epoch: 9 [13312/46250]	Loss: 0.0099	LR: 0.000800
Training Epoch: 9 [13568/46250]	Loss: 0.0125	LR: 0.000800
Training Epoch: 9 [13824/46250]	Loss: 0.0112	LR: 0.000800
Training Epoch: 9 [14080/46250]	Loss: 0.0130	LR: 0.000800
Training Epoch: 9 [14336/46250]	Loss: 0.0112	LR: 0.000800
Training Epoch: 9 [14592/46250]	Loss: 0.0088	LR: 0.000800
Training Epoch: 9 [14848/46250]	Loss: 0.0110	LR: 0.000800
Training Epoch: 9 [15104/46250]	Loss: 0.0115	LR: 0.000800
Training Epoch: 9 [15360/46250]	Loss: 0.0079	LR: 0.000800
Training Epoch: 9 [15616/46250]	Loss: 0.0133	LR: 0.000800
Training Epoch: 9 [15872/46250]	Loss: 0.0118	LR: 0.000800
Training Epoch: 9 [16128/46250]	Loss: 0.0088	LR: 0.000800
Training Epoch: 9 [16384/46250]	Loss: 0.0113	LR: 0.000800
Training Epoch: 9 [16640/46250]	Loss: 0.0111	LR: 0.000800
Training Epoch: 9 [16896/46250]	Loss: 0.0137	LR: 0.000800
Training Epoch: 9 [17152/46250]	Loss: 0.0119	LR: 0.000800
Training Epoch: 9 [17408/46250]	Loss: 0.0158	LR: 0.000800
Training Epoch: 9 [17664/46250]	Loss: 0.0099	LR: 0.000800
Training Epoch: 9 [17920/46250]	Loss: 0.0097	LR: 0.000800
Training Epoch: 9 [18176/46250]	Loss: 0.0133	LR: 0.000800
Training Epoch: 9 [18432/46250]	Loss: 0.0180	LR: 0.000800
Training Epoch: 9 [18688/46250]	Loss: 0.0123	LR: 0.000800
Training Epoch: 9 [18944/46250]	Loss: 0.0090	LR: 0.000800
Training Epoch: 9 [19200/46250]	Loss: 0.0141	LR: 0.000800
Training Epoch: 9 [19456/46250]	Loss: 0.0101	LR: 0.000800
Training Epoch: 9 [19712/46250]	Loss: 0.0101	LR: 0.000800
Training Epoch: 9 [19968/46250]	Loss: 0.0114	LR: 0.000800
Training Epoch: 9 [20224/46250]	Loss: 0.0082	LR: 0.000800
Training Epoch: 9 [20480/46250]	Loss: 0.0083	LR: 0.000800
Training Epoch: 9 [20736/46250]	Loss: 0.0088	LR: 0.000800
Training Epoch: 9 [20992/46250]	Loss: 0.0113	LR: 0.000800
Training Epoch: 9 [21248/46250]	Loss: 0.0102	LR: 0.000800
Training Epoch: 9 [21504/46250]	Loss: 0.0085	LR: 0.000800
Training Epoch: 9 [21760/46250]	Loss: 0.0097	LR: 0.000800
Training Epoch: 9 [22016/46250]	Loss: 0.0102	LR: 0.000800
Training Epoch: 9 [22272/46250]	Loss: 0.0112	LR: 0.000800
Training Epoch: 9 [22528/46250]	Loss: 0.0126	LR: 0.000800
Training Epoch: 9 [22784/46250]	Loss: 0.0117	LR: 0.000800
Training Epoch: 9 [23040/46250]	Loss: 0.0138	LR: 0.000800
Training Epoch: 9 [23296/46250]	Loss: 0.0168	LR: 0.000800
Training Epoch: 9 [23552/46250]	Loss: 0.0121	LR: 0.000800
Training Epoch: 9 [23808/46250]	Loss: 0.0083	LR: 0.000800
Training Epoch: 9 [24064/46250]	Loss: 0.0114	LR: 0.000800
Training Epoch: 9 [24320/46250]	Loss: 0.0147	LR: 0.000800
Training Epoch: 9 [24576/46250]	Loss: 0.0120	LR: 0.000800
Training Epoch: 9 [24832/46250]	Loss: 0.0113	LR: 0.000800
Training Epoch: 9 [25088/46250]	Loss: 0.0170	LR: 0.000800
Training Epoch: 9 [25344/46250]	Loss: 0.0101	LR: 0.000800
Training Epoch: 9 [25600/46250]	Loss: 0.0121	LR: 0.000800
Training Epoch: 9 [25856/46250]	Loss: 0.0095	LR: 0.000800
Training Epoch: 9 [26112/46250]	Loss: 0.0106	LR: 0.000800
Training Epoch: 9 [26368/46250]	Loss: 0.0095	LR: 0.000800
Training Epoch: 9 [26624/46250]	Loss: 0.0107	LR: 0.000800
Training Epoch: 9 [26880/46250]	Loss: 0.0090	LR: 0.000800
Training Epoch: 9 [27136/46250]	Loss: 0.0120	LR: 0.000800
Training Epoch: 9 [27392/46250]	Loss: 0.0097	LR: 0.000800
Training Epoch: 9 [27648/46250]	Loss: 0.0103	LR: 0.000800
Training Epoch: 9 [27904/46250]	Loss: 0.0171	LR: 0.000800
Training Epoch: 9 [28160/46250]	Loss: 0.0105	LR: 0.000800
Training Epoch: 9 [28416/46250]	Loss: 0.0114	LR: 0.000800
Training Epoch: 9 [28672/46250]	Loss: 0.0110	LR: 0.000800
Training Epoch: 9 [28928/46250]	Loss: 0.0111	LR: 0.000800
Training Epoch: 9 [29184/46250]	Loss: 0.0103	LR: 0.000800
Training Epoch: 9 [29440/46250]	Loss: 0.0085	LR: 0.000800
Training Epoch: 9 [29696/46250]	Loss: 0.0119	LR: 0.000800
Training Epoch: 9 [29952/46250]	Loss: 0.0138	LR: 0.000800
Training Epoch: 9 [30208/46250]	Loss: 0.0104	LR: 0.000800
Training Epoch: 9 [30464/46250]	Loss: 0.0094	LR: 0.000800
Training Epoch: 9 [30720/46250]	Loss: 0.0118	LR: 0.000800
Training Epoch: 9 [30976/46250]	Loss: 0.0077	LR: 0.000800
Training Epoch: 9 [31232/46250]	Loss: 0.0105	LR: 0.000800
Training Epoch: 9 [31488/46250]	Loss: 0.0137	LR: 0.000800
Training Epoch: 9 [31744/46250]	Loss: 0.0095	LR: 0.000800
Training Epoch: 9 [32000/46250]	Loss: 0.0107	LR: 0.000800
Training Epoch: 9 [32256/46250]	Loss: 0.0132	LR: 0.000800
Training Epoch: 9 [32512/46250]	Loss: 0.0082	LR: 0.000800
Training Epoch: 9 [32768/46250]	Loss: 0.0110	LR: 0.000800
Training Epoch: 9 [33024/46250]	Loss: 0.0145	LR: 0.000800
Training Epoch: 9 [33280/46250]	Loss: 0.0147	LR: 0.000800
Training Epoch: 9 [33536/46250]	Loss: 0.0081	LR: 0.000800
Training Epoch: 9 [33792/46250]	Loss: 0.0091	LR: 0.000800
Training Epoch: 9 [34048/46250]	Loss: 0.0103	LR: 0.000800
Training Epoch: 9 [34304/46250]	Loss: 0.0091	LR: 0.000800
Training Epoch: 9 [34560/46250]	Loss: 0.0116	LR: 0.000800
Training Epoch: 9 [34816/46250]	Loss: 0.0099	LR: 0.000800
Training Epoch: 9 [35072/46250]	Loss: 0.0083	LR: 0.000800
Training Epoch: 9 [35328/46250]	Loss: 0.0091	LR: 0.000800
Training Epoch: 9 [35584/46250]	Loss: 0.0079	LR: 0.000800
Training Epoch: 9 [35840/46250]	Loss: 0.0082	LR: 0.000800
Training Epoch: 9 [36096/46250]	Loss: 0.0084	LR: 0.000800
Training Epoch: 9 [36352/46250]	Loss: 0.0116	LR: 0.000800
Training Epoch: 9 [36608/46250]	Loss: 0.0114	LR: 0.000800
Training Epoch: 9 [36864/46250]	Loss: 0.0137	LR: 0.000800
Training Epoch: 9 [37120/46250]	Loss: 0.0091	LR: 0.000800
Training Epoch: 9 [37376/46250]	Loss: 0.0099	LR: 0.000800
Training Epoch: 9 [37632/46250]	Loss: 0.0080	LR: 0.000800
Training Epoch: 9 [37888/46250]	Loss: 0.0147	LR: 0.000800
Training Epoch: 9 [38144/46250]	Loss: 0.0100	LR: 0.000800
Training Epoch: 9 [38400/46250]	Loss: 0.0151	LR: 0.000800
Training Epoch: 9 [38656/46250]	Loss: 0.0103	LR: 0.000800
Training Epoch: 9 [38912/46250]	Loss: 0.0142	LR: 0.000800
Training Epoch: 9 [39168/46250]	Loss: 0.0102	LR: 0.000800
Training Epoch: 9 [39424/46250]	Loss: 0.0114	LR: 0.000800
Training Epoch: 9 [39680/46250]	Loss: 0.0134	LR: 0.000800
Training Epoch: 9 [39936/46250]	Loss: 0.0163	LR: 0.000800
Training Epoch: 9 [40192/46250]	Loss: 0.0120	LR: 0.000800
Training Epoch: 9 [40448/46250]	Loss: 0.0082	LR: 0.000800
Training Epoch: 9 [40704/46250]	Loss: 0.0102	LR: 0.000800
Training Epoch: 9 [40960/46250]	Loss: 0.0106	LR: 0.000800
Training Epoch: 9 [41216/46250]	Loss: 0.0105	LR: 0.000800
Training Epoch: 9 [41472/46250]	Loss: 0.0098	LR: 0.000800
Training Epoch: 9 [41728/46250]	Loss: 0.0097	LR: 0.000800
Training Epoch: 9 [41984/46250]	Loss: 0.0119	LR: 0.000800
Training Epoch: 9 [42240/46250]	Loss: 0.0090	LR: 0.000800
Training Epoch: 9 [42496/46250]	Loss: 0.0102	LR: 0.000800
Training Epoch: 9 [42752/46250]	Loss: 0.0099	LR: 0.000800
Training Epoch: 9 [43008/46250]	Loss: 0.0123	LR: 0.000800
Training Epoch: 9 [43264/46250]	Loss: 0.0076	LR: 0.000800
Training Epoch: 9 [43520/46250]	Loss: 0.0089	LR: 0.000800
Training Epoch: 9 [43776/46250]	Loss: 0.0123	LR: 0.000800
Training Epoch: 9 [44032/46250]	Loss: 0.0089	LR: 0.000800
Training Epoch: 9 [44288/46250]	Loss: 0.0103	LR: 0.000800
Training Epoch: 9 [44544/46250]	Loss: 0.0067	LR: 0.000800
Training Epoch: 9 [44800/46250]	Loss: 0.0120	LR: 0.000800
Training Epoch: 9 [45056/46250]	Loss: 0.0097	LR: 0.000800
Training Epoch: 9 [45312/46250]	Loss: 0.0092	LR: 0.000800
Training Epoch: 9 [45568/46250]	Loss: 0.0098	LR: 0.000800
Training Epoch: 9 [45824/46250]	Loss: 0.0081	LR: 0.000800
Training Epoch: 9 [46080/46250]	Loss: 0.0109	LR: 0.000800
Training Epoch: 9 [46250/46250]	Loss: 0.0118	LR: 0.000800
Epoch 9 - Average Train Loss: 0.0116, Train Accuracy: 0.9999
Epoch 9 training time consumed: 18.03s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0026, Accuracy: 0.8241, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_11h_38m_16s/ResNet18-Cifar10-seed3-ret25-9-best.pth
Training Epoch: 10 [256/46250]	Loss: 0.0095	LR: 0.000800
Training Epoch: 10 [512/46250]	Loss: 0.0096	LR: 0.000800
Training Epoch: 10 [768/46250]	Loss: 0.0127	LR: 0.000800
Training Epoch: 10 [1024/46250]	Loss: 0.0098	LR: 0.000800
Training Epoch: 10 [1280/46250]	Loss: 0.0078	LR: 0.000800
Training Epoch: 10 [1536/46250]	Loss: 0.0120	LR: 0.000800
Training Epoch: 10 [1792/46250]	Loss: 0.0127	LR: 0.000800
Training Epoch: 10 [2048/46250]	Loss: 0.0121	LR: 0.000800
Training Epoch: 10 [2304/46250]	Loss: 0.0101	LR: 0.000800
Training Epoch: 10 [2560/46250]	Loss: 0.0172	LR: 0.000800
Training Epoch: 10 [2816/46250]	Loss: 0.0106	LR: 0.000800
Training Epoch: 10 [3072/46250]	Loss: 0.0097	LR: 0.000800
Training Epoch: 10 [3328/46250]	Loss: 0.0083	LR: 0.000800
Training Epoch: 10 [3584/46250]	Loss: 0.0132	LR: 0.000800
Training Epoch: 10 [3840/46250]	Loss: 0.0099	LR: 0.000800
Training Epoch: 10 [4096/46250]	Loss: 0.0098	LR: 0.000800
Training Epoch: 10 [4352/46250]	Loss: 0.0094	LR: 0.000800
Training Epoch: 10 [4608/46250]	Loss: 0.0104	LR: 0.000800
Training Epoch: 10 [4864/46250]	Loss: 0.0125	LR: 0.000800
Training Epoch: 10 [5120/46250]	Loss: 0.0101	LR: 0.000800
Training Epoch: 10 [5376/46250]	Loss: 0.0082	LR: 0.000800
Training Epoch: 10 [5632/46250]	Loss: 0.0063	LR: 0.000800
Training Epoch: 10 [5888/46250]	Loss: 0.0080	LR: 0.000800
Training Epoch: 10 [6144/46250]	Loss: 0.0090	LR: 0.000800
Training Epoch: 10 [6400/46250]	Loss: 0.0093	LR: 0.000800
Training Epoch: 10 [6656/46250]	Loss: 0.0120	LR: 0.000800
Training Epoch: 10 [6912/46250]	Loss: 0.0078	LR: 0.000800
Training Epoch: 10 [7168/46250]	Loss: 0.0135	LR: 0.000800
Training Epoch: 10 [7424/46250]	Loss: 0.0097	LR: 0.000800
Training Epoch: 10 [7680/46250]	Loss: 0.0098	LR: 0.000800
Training Epoch: 10 [7936/46250]	Loss: 0.0084	LR: 0.000800
Training Epoch: 10 [8192/46250]	Loss: 0.0066	LR: 0.000800
Training Epoch: 10 [8448/46250]	Loss: 0.0069	LR: 0.000800
Training Epoch: 10 [8704/46250]	Loss: 0.0076	LR: 0.000800
Training Epoch: 10 [8960/46250]	Loss: 0.0086	LR: 0.000800
Training Epoch: 10 [9216/46250]	Loss: 0.0102	LR: 0.000800
Training Epoch: 10 [9472/46250]	Loss: 0.0083	LR: 0.000800
Training Epoch: 10 [9728/46250]	Loss: 0.0085	LR: 0.000800
Training Epoch: 10 [9984/46250]	Loss: 0.0109	LR: 0.000800
Training Epoch: 10 [10240/46250]	Loss: 0.0111	LR: 0.000800
Training Epoch: 10 [10496/46250]	Loss: 0.0100	LR: 0.000800
Training Epoch: 10 [10752/46250]	Loss: 0.0087	LR: 0.000800
Training Epoch: 10 [11008/46250]	Loss: 0.0087	LR: 0.000800
Training Epoch: 10 [11264/46250]	Loss: 0.0083	LR: 0.000800
Training Epoch: 10 [11520/46250]	Loss: 0.0072	LR: 0.000800
Training Epoch: 10 [11776/46250]	Loss: 0.0084	LR: 0.000800
Training Epoch: 10 [12032/46250]	Loss: 0.0082	LR: 0.000800
Training Epoch: 10 [12288/46250]	Loss: 0.0106	LR: 0.000800
Training Epoch: 10 [12544/46250]	Loss: 0.0103	LR: 0.000800
Training Epoch: 10 [12800/46250]	Loss: 0.0141	LR: 0.000800
Training Epoch: 10 [13056/46250]	Loss: 0.0084	LR: 0.000800
Training Epoch: 10 [13312/46250]	Loss: 0.0096	LR: 0.000800
Training Epoch: 10 [13568/46250]	Loss: 0.0101	LR: 0.000800
Training Epoch: 10 [13824/46250]	Loss: 0.0092	LR: 0.000800
Training Epoch: 10 [14080/46250]	Loss: 0.0090	LR: 0.000800
Training Epoch: 10 [14336/46250]	Loss: 0.0112	LR: 0.000800
Training Epoch: 10 [14592/46250]	Loss: 0.0094	LR: 0.000800
Training Epoch: 10 [14848/46250]	Loss: 0.0098	LR: 0.000800
Training Epoch: 10 [15104/46250]	Loss: 0.0086	LR: 0.000800
Training Epoch: 10 [15360/46250]	Loss: 0.0097	LR: 0.000800
Training Epoch: 10 [15616/46250]	Loss: 0.0113	LR: 0.000800
Training Epoch: 10 [15872/46250]	Loss: 0.0094	LR: 0.000800
Training Epoch: 10 [16128/46250]	Loss: 0.0091	LR: 0.000800
Training Epoch: 10 [16384/46250]	Loss: 0.0096	LR: 0.000800
Training Epoch: 10 [16640/46250]	Loss: 0.0081	LR: 0.000800
Training Epoch: 10 [16896/46250]	Loss: 0.0089	LR: 0.000800
Training Epoch: 10 [17152/46250]	Loss: 0.0098	LR: 0.000800
Training Epoch: 10 [17408/46250]	Loss: 0.0091	LR: 0.000800
Training Epoch: 10 [17664/46250]	Loss: 0.0104	LR: 0.000800
Training Epoch: 10 [17920/46250]	Loss: 0.0099	LR: 0.000800
Training Epoch: 10 [18176/46250]	Loss: 0.0070	LR: 0.000800
Training Epoch: 10 [18432/46250]	Loss: 0.0091	LR: 0.000800
Training Epoch: 10 [18688/46250]	Loss: 0.0101	LR: 0.000800
Training Epoch: 10 [18944/46250]	Loss: 0.0072	LR: 0.000800
Training Epoch: 10 [19200/46250]	Loss: 0.0090	LR: 0.000800
Training Epoch: 10 [19456/46250]	Loss: 0.0065	LR: 0.000800
Training Epoch: 10 [19712/46250]	Loss: 0.0119	LR: 0.000800
Training Epoch: 10 [19968/46250]	Loss: 0.0103	LR: 0.000800
Training Epoch: 10 [20224/46250]	Loss: 0.0084	LR: 0.000800
Training Epoch: 10 [20480/46250]	Loss: 0.0114	LR: 0.000800
Training Epoch: 10 [20736/46250]	Loss: 0.0091	LR: 0.000800
Training Epoch: 10 [20992/46250]	Loss: 0.0114	LR: 0.000800
Training Epoch: 10 [21248/46250]	Loss: 0.0085	LR: 0.000800
Training Epoch: 10 [21504/46250]	Loss: 0.0120	LR: 0.000800
Training Epoch: 10 [21760/46250]	Loss: 0.0080	LR: 0.000800
Training Epoch: 10 [22016/46250]	Loss: 0.0099	LR: 0.000800
Training Epoch: 10 [22272/46250]	Loss: 0.0106	LR: 0.000800
Training Epoch: 10 [22528/46250]	Loss: 0.0080	LR: 0.000800
Training Epoch: 10 [22784/46250]	Loss: 0.0086	LR: 0.000800
Training Epoch: 10 [23040/46250]	Loss: 0.0090	LR: 0.000800
Training Epoch: 10 [23296/46250]	Loss: 0.0101	LR: 0.000800
Training Epoch: 10 [23552/46250]	Loss: 0.0117	LR: 0.000800
Training Epoch: 10 [23808/46250]	Loss: 0.0084	LR: 0.000800
Training Epoch: 10 [24064/46250]	Loss: 0.0079	LR: 0.000800
Training Epoch: 10 [24320/46250]	Loss: 0.0088	LR: 0.000800
Training Epoch: 10 [24576/46250]	Loss: 0.0101	LR: 0.000800
Training Epoch: 10 [24832/46250]	Loss: 0.0053	LR: 0.000800
Training Epoch: 10 [25088/46250]	Loss: 0.0112	LR: 0.000800
Training Epoch: 10 [25344/46250]	Loss: 0.0078	LR: 0.000800
Training Epoch: 10 [25600/46250]	Loss: 0.0140	LR: 0.000800
Training Epoch: 10 [25856/46250]	Loss: 0.0103	LR: 0.000800
Training Epoch: 10 [26112/46250]	Loss: 0.0095	LR: 0.000800
Training Epoch: 10 [26368/46250]	Loss: 0.0103	LR: 0.000800
Training Epoch: 10 [26624/46250]	Loss: 0.0066	LR: 0.000800
Training Epoch: 10 [26880/46250]	Loss: 0.0126	LR: 0.000800
Training Epoch: 10 [27136/46250]	Loss: 0.0100	LR: 0.000800
Training Epoch: 10 [27392/46250]	Loss: 0.0125	LR: 0.000800
Training Epoch: 10 [27648/46250]	Loss: 0.0116	LR: 0.000800
Training Epoch: 10 [27904/46250]	Loss: 0.0115	LR: 0.000800
Training Epoch: 10 [28160/46250]	Loss: 0.0070	LR: 0.000800
Training Epoch: 10 [28416/46250]	Loss: 0.0102	LR: 0.000800
Training Epoch: 10 [28672/46250]	Loss: 0.0087	LR: 0.000800
Training Epoch: 10 [28928/46250]	Loss: 0.0088	LR: 0.000800
Training Epoch: 10 [29184/46250]	Loss: 0.0082	LR: 0.000800
Training Epoch: 10 [29440/46250]	Loss: 0.0092	LR: 0.000800
Training Epoch: 10 [29696/46250]	Loss: 0.0095	LR: 0.000800
Training Epoch: 10 [29952/46250]	Loss: 0.0121	LR: 0.000800
Training Epoch: 10 [30208/46250]	Loss: 0.0071	LR: 0.000800
Training Epoch: 10 [30464/46250]	Loss: 0.0081	LR: 0.000800
Training Epoch: 10 [30720/46250]	Loss: 0.0076	LR: 0.000800
Training Epoch: 10 [30976/46250]	Loss: 0.0108	LR: 0.000800
Training Epoch: 10 [31232/46250]	Loss: 0.0098	LR: 0.000800
Training Epoch: 10 [31488/46250]	Loss: 0.0101	LR: 0.000800
Training Epoch: 10 [31744/46250]	Loss: 0.0068	LR: 0.000800
Training Epoch: 10 [32000/46250]	Loss: 0.0100	LR: 0.000800
Training Epoch: 10 [32256/46250]	Loss: 0.0095	LR: 0.000800
Training Epoch: 10 [32512/46250]	Loss: 0.0060	LR: 0.000800
Training Epoch: 10 [32768/46250]	Loss: 0.0087	LR: 0.000800
Training Epoch: 10 [33024/46250]	Loss: 0.0101	LR: 0.000800
Training Epoch: 10 [33280/46250]	Loss: 0.0075	LR: 0.000800
Training Epoch: 10 [33536/46250]	Loss: 0.0115	LR: 0.000800
Training Epoch: 10 [33792/46250]	Loss: 0.0089	LR: 0.000800
Training Epoch: 10 [34048/46250]	Loss: 0.0076	LR: 0.000800
Training Epoch: 10 [34304/46250]	Loss: 0.0139	LR: 0.000800
Training Epoch: 10 [34560/46250]	Loss: 0.0082	LR: 0.000800
Training Epoch: 10 [34816/46250]	Loss: 0.0109	LR: 0.000800
Training Epoch: 10 [35072/46250]	Loss: 0.0074	LR: 0.000800
Training Epoch: 10 [35328/46250]	Loss: 0.0088	LR: 0.000800
Training Epoch: 10 [35584/46250]	Loss: 0.0101	LR: 0.000800
Training Epoch: 10 [35840/46250]	Loss: 0.0094	LR: 0.000800
Training Epoch: 10 [36096/46250]	Loss: 0.0106	LR: 0.000800
Training Epoch: 10 [36352/46250]	Loss: 0.0100	LR: 0.000800
Training Epoch: 10 [36608/46250]	Loss: 0.0159	LR: 0.000800
Training Epoch: 10 [36864/46250]	Loss: 0.0074	LR: 0.000800
Training Epoch: 10 [37120/46250]	Loss: 0.0082	LR: 0.000800
Training Epoch: 10 [37376/46250]	Loss: 0.0085	LR: 0.000800
Training Epoch: 10 [37632/46250]	Loss: 0.0102	LR: 0.000800
Training Epoch: 10 [37888/46250]	Loss: 0.0095	LR: 0.000800
Training Epoch: 10 [38144/46250]	Loss: 0.0061	LR: 0.000800
Training Epoch: 10 [38400/46250]	Loss: 0.0117	LR: 0.000800
Training Epoch: 10 [38656/46250]	Loss: 0.0083	LR: 0.000800
Training Epoch: 10 [38912/46250]	Loss: 0.0094	LR: 0.000800
Training Epoch: 10 [39168/46250]	Loss: 0.0096	LR: 0.000800
Training Epoch: 10 [39424/46250]	Loss: 0.0102	LR: 0.000800
Training Epoch: 10 [39680/46250]	Loss: 0.0117	LR: 0.000800
Training Epoch: 10 [39936/46250]	Loss: 0.0073	LR: 0.000800
Training Epoch: 10 [40192/46250]	Loss: 0.0059	LR: 0.000800
Training Epoch: 10 [40448/46250]	Loss: 0.0079	LR: 0.000800
Training Epoch: 10 [40704/46250]	Loss: 0.0107	LR: 0.000800
Training Epoch: 10 [40960/46250]	Loss: 0.0089	LR: 0.000800
Training Epoch: 10 [41216/46250]	Loss: 0.0107	LR: 0.000800
Training Epoch: 10 [41472/46250]	Loss: 0.0094	LR: 0.000800
Training Epoch: 10 [41728/46250]	Loss: 0.0099	LR: 0.000800
Training Epoch: 10 [41984/46250]	Loss: 0.0092	LR: 0.000800
Training Epoch: 10 [42240/46250]	Loss: 0.0153	LR: 0.000800
Training Epoch: 10 [42496/46250]	Loss: 0.0112	LR: 0.000800
Training Epoch: 10 [42752/46250]	Loss: 0.0105	LR: 0.000800
Training Epoch: 10 [43008/46250]	Loss: 0.0087	LR: 0.000800
Training Epoch: 10 [43264/46250]	Loss: 0.0143	LR: 0.000800
Training Epoch: 10 [43520/46250]	Loss: 0.0183	LR: 0.000800
Training Epoch: 10 [43776/46250]	Loss: 0.0129	LR: 0.000800
Training Epoch: 10 [44032/46250]	Loss: 0.0101	LR: 0.000800
Training Epoch: 10 [44288/46250]	Loss: 0.0105	LR: 0.000800
Training Epoch: 10 [44544/46250]	Loss: 0.0089	LR: 0.000800
Training Epoch: 10 [44800/46250]	Loss: 0.0073	LR: 0.000800
Training Epoch: 10 [45056/46250]	Loss: 0.0068	LR: 0.000800
Training Epoch: 10 [45312/46250]	Loss: 0.0072	LR: 0.000800
Training Epoch: 10 [45568/46250]	Loss: 0.0119	LR: 0.000800
Training Epoch: 10 [45824/46250]	Loss: 0.0105	LR: 0.000800
Training Epoch: 10 [46080/46250]	Loss: 0.0103	LR: 0.000800
Training Epoch: 10 [46250/46250]	Loss: 0.0112	LR: 0.000800
Epoch 10 - Average Train Loss: 0.0097, Train Accuracy: 1.0000
Epoch 10 training time consumed: 18.30s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0026, Accuracy: 0.8241, Time consumed:1.01s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_11h_38m_16s/ResNet18-Cifar10-seed3-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: 82.529296875
Retain Accuracy: 99.99784088134766
Zero-Retain Forget (ZRF): 0.7754701375961304
Membership Inference Attack (MIA): 0.6192
Forget vs Retain Membership Inference Attack (MIA): 0.5893333333333334
Forget vs Test Membership Inference Attack (MIA): 0.49866666666666665
Test vs Retain Membership Inference Attack (MIA): 0.63075
Train vs Test Membership Inference Attack (MIA): 0.62975
Forget Set Accuracy (Df): 83.32548522949219
Method Execution Time: 1123.71 seconds
