hello
hello
Labels

📌S Retain class distribution for seed 5:
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 5:
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: 2.3532	LR: 0.000000
Training Epoch: 1 [512/46250]	Loss: 2.3607	LR: 0.000552
Training Epoch: 1 [768/46250]	Loss: 2.3585	LR: 0.001105
Training Epoch: 1 [1024/46250]	Loss: 2.3324	LR: 0.001657
Training Epoch: 1 [1280/46250]	Loss: 2.3072	LR: 0.002210
Training Epoch: 1 [1536/46250]	Loss: 2.2591	LR: 0.002762
Training Epoch: 1 [1792/46250]	Loss: 2.2276	LR: 0.003315
Training Epoch: 1 [2048/46250]	Loss: 2.1543	LR: 0.003867
Training Epoch: 1 [2304/46250]	Loss: 2.1215	LR: 0.004420
Training Epoch: 1 [2560/46250]	Loss: 2.1566	LR: 0.004972
Training Epoch: 1 [2816/46250]	Loss: 2.1666	LR: 0.005525
Training Epoch: 1 [3072/46250]	Loss: 2.0250	LR: 0.006077
Training Epoch: 1 [3328/46250]	Loss: 1.9999	LR: 0.006630
Training Epoch: 1 [3584/46250]	Loss: 2.0162	LR: 0.007182
Training Epoch: 1 [3840/46250]	Loss: 1.9536	LR: 0.007735
Training Epoch: 1 [4096/46250]	Loss: 1.9352	LR: 0.008287
Training Epoch: 1 [4352/46250]	Loss: 1.8135	LR: 0.008840
Training Epoch: 1 [4608/46250]	Loss: 1.8733	LR: 0.009392
Training Epoch: 1 [4864/46250]	Loss: 1.7764	LR: 0.009945
Training Epoch: 1 [5120/46250]	Loss: 1.7686	LR: 0.010497
Training Epoch: 1 [5376/46250]	Loss: 1.7860	LR: 0.011050
Training Epoch: 1 [5632/46250]	Loss: 1.8255	LR: 0.011602
Training Epoch: 1 [5888/46250]	Loss: 1.8084	LR: 0.012155
Training Epoch: 1 [6144/46250]	Loss: 1.7749	LR: 0.012707
Training Epoch: 1 [6400/46250]	Loss: 1.7209	LR: 0.013260
Training Epoch: 1 [6656/46250]	Loss: 1.7147	LR: 0.013812
Training Epoch: 1 [6912/46250]	Loss: 1.5763	LR: 0.014365
Training Epoch: 1 [7168/46250]	Loss: 1.6365	LR: 0.014917
Training Epoch: 1 [7424/46250]	Loss: 1.6409	LR: 0.015470
Training Epoch: 1 [7680/46250]	Loss: 1.6136	LR: 0.016022
Training Epoch: 1 [7936/46250]	Loss: 1.6586	LR: 0.016575
Training Epoch: 1 [8192/46250]	Loss: 1.6559	LR: 0.017127
Training Epoch: 1 [8448/46250]	Loss: 1.6276	LR: 0.017680
Training Epoch: 1 [8704/46250]	Loss: 1.7501	LR: 0.018232
Training Epoch: 1 [8960/46250]	Loss: 1.6739	LR: 0.018785
Training Epoch: 1 [9216/46250]	Loss: 1.6561	LR: 0.019337
Training Epoch: 1 [9472/46250]	Loss: 1.7220	LR: 0.019890
Training Epoch: 1 [9728/46250]	Loss: 1.6271	LR: 0.020442
Training Epoch: 1 [9984/46250]	Loss: 1.6835	LR: 0.020994
Training Epoch: 1 [10240/46250]	Loss: 1.7104	LR: 0.021547
Training Epoch: 1 [10496/46250]	Loss: 1.5675	LR: 0.022099
Training Epoch: 1 [10752/46250]	Loss: 1.6426	LR: 0.022652
Training Epoch: 1 [11008/46250]	Loss: 1.5774	LR: 0.023204
Training Epoch: 1 [11264/46250]	Loss: 1.7053	LR: 0.023757
Training Epoch: 1 [11520/46250]	Loss: 1.6682	LR: 0.024309
Training Epoch: 1 [11776/46250]	Loss: 1.6424	LR: 0.024862
Training Epoch: 1 [12032/46250]	Loss: 1.6794	LR: 0.025414
Training Epoch: 1 [12288/46250]	Loss: 1.6013	LR: 0.025967
Training Epoch: 1 [12544/46250]	Loss: 1.6320	LR: 0.026519
Training Epoch: 1 [12800/46250]	Loss: 1.6064	LR: 0.027072
Training Epoch: 1 [13056/46250]	Loss: 1.5731	LR: 0.027624
Training Epoch: 1 [13312/46250]	Loss: 1.6467	LR: 0.028177
Training Epoch: 1 [13568/46250]	Loss: 1.6122	LR: 0.028729
Training Epoch: 1 [13824/46250]	Loss: 1.4442	LR: 0.029282
Training Epoch: 1 [14080/46250]	Loss: 1.5163	LR: 0.029834
Training Epoch: 1 [14336/46250]	Loss: 1.4946	LR: 0.030387
Training Epoch: 1 [14592/46250]	Loss: 1.5535	LR: 0.030939
Training Epoch: 1 [14848/46250]	Loss: 1.3990	LR: 0.031492
Training Epoch: 1 [15104/46250]	Loss: 1.3918	LR: 0.032044
Training Epoch: 1 [15360/46250]	Loss: 1.3365	LR: 0.032597
Training Epoch: 1 [15616/46250]	Loss: 1.5793	LR: 0.033149
Training Epoch: 1 [15872/46250]	Loss: 1.5273	LR: 0.033702
Training Epoch: 1 [16128/46250]	Loss: 1.5097	LR: 0.034254
Training Epoch: 1 [16384/46250]	Loss: 1.6032	LR: 0.034807
Training Epoch: 1 [16640/46250]	Loss: 1.4761	LR: 0.035359
Training Epoch: 1 [16896/46250]	Loss: 1.4919	LR: 0.035912
Training Epoch: 1 [17152/46250]	Loss: 1.6006	LR: 0.036464
Training Epoch: 1 [17408/46250]	Loss: 1.5069	LR: 0.037017
Training Epoch: 1 [17664/46250]	Loss: 1.5055	LR: 0.037569
Training Epoch: 1 [17920/46250]	Loss: 1.5098	LR: 0.038122
Training Epoch: 1 [18176/46250]	Loss: 1.4298	LR: 0.038674
Training Epoch: 1 [18432/46250]	Loss: 1.3880	LR: 0.039227
Training Epoch: 1 [18688/46250]	Loss: 1.3456	LR: 0.039779
Training Epoch: 1 [18944/46250]	Loss: 1.3998	LR: 0.040331
Training Epoch: 1 [19200/46250]	Loss: 1.5363	LR: 0.040884
Training Epoch: 1 [19456/46250]	Loss: 1.4972	LR: 0.041436
Training Epoch: 1 [19712/46250]	Loss: 1.4252	LR: 0.041989
Training Epoch: 1 [19968/46250]	Loss: 1.4990	LR: 0.042541
Training Epoch: 1 [20224/46250]	Loss: 1.4450	LR: 0.043094
Training Epoch: 1 [20480/46250]	Loss: 1.6235	LR: 0.043646
Training Epoch: 1 [20736/46250]	Loss: 1.4072	LR: 0.044199
Training Epoch: 1 [20992/46250]	Loss: 1.8468	LR: 0.044751
Training Epoch: 1 [21248/46250]	Loss: 1.4578	LR: 0.045304
Training Epoch: 1 [21504/46250]	Loss: 1.5806	LR: 0.045856
Training Epoch: 1 [21760/46250]	Loss: 1.6154	LR: 0.046409
Training Epoch: 1 [22016/46250]	Loss: 1.4878	LR: 0.046961
Training Epoch: 1 [22272/46250]	Loss: 1.2940	LR: 0.047514
Training Epoch: 1 [22528/46250]	Loss: 1.4188	LR: 0.048066
Training Epoch: 1 [22784/46250]	Loss: 1.4281	LR: 0.048619
Training Epoch: 1 [23040/46250]	Loss: 1.5143	LR: 0.049171
Training Epoch: 1 [23296/46250]	Loss: 1.8225	LR: 0.049724
Training Epoch: 1 [23552/46250]	Loss: 1.4263	LR: 0.050276
Training Epoch: 1 [23808/46250]	Loss: 1.4063	LR: 0.050829
Training Epoch: 1 [24064/46250]	Loss: 1.7259	LR: 0.051381
Training Epoch: 1 [24320/46250]	Loss: 1.5432	LR: 0.051934
Training Epoch: 1 [24576/46250]	Loss: 1.5376	LR: 0.052486
Training Epoch: 1 [24832/46250]	Loss: 1.5269	LR: 0.053039
Training Epoch: 1 [25088/46250]	Loss: 1.3901	LR: 0.053591
Training Epoch: 1 [25344/46250]	Loss: 1.5962	LR: 0.054144
Training Epoch: 1 [25600/46250]	Loss: 1.4427	LR: 0.054696
Training Epoch: 1 [25856/46250]	Loss: 1.3751	LR: 0.055249
Training Epoch: 1 [26112/46250]	Loss: 1.4627	LR: 0.055801
Training Epoch: 1 [26368/46250]	Loss: 1.3423	LR: 0.056354
Training Epoch: 1 [26624/46250]	Loss: 1.4304	LR: 0.056906
Training Epoch: 1 [26880/46250]	Loss: 1.3933	LR: 0.057459
Training Epoch: 1 [27136/46250]	Loss: 1.2112	LR: 0.058011
Training Epoch: 1 [27392/46250]	Loss: 1.4664	LR: 0.058564
Training Epoch: 1 [27648/46250]	Loss: 1.4216	LR: 0.059116
Training Epoch: 1 [27904/46250]	Loss: 1.3525	LR: 0.059669
Training Epoch: 1 [28160/46250]	Loss: 1.5330	LR: 0.060221
Training Epoch: 1 [28416/46250]	Loss: 1.3765	LR: 0.060773
Training Epoch: 1 [28672/46250]	Loss: 1.2746	LR: 0.061326
Training Epoch: 1 [28928/46250]	Loss: 1.4095	LR: 0.061878
Training Epoch: 1 [29184/46250]	Loss: 1.4326	LR: 0.062431
Training Epoch: 1 [29440/46250]	Loss: 1.3336	LR: 0.062983
Training Epoch: 1 [29696/46250]	Loss: 1.5034	LR: 0.063536
Training Epoch: 1 [29952/46250]	Loss: 1.2793	LR: 0.064088
Training Epoch: 1 [30208/46250]	Loss: 1.3664	LR: 0.064641
Training Epoch: 1 [30464/46250]	Loss: 1.2007	LR: 0.065193
Training Epoch: 1 [30720/46250]	Loss: 1.5057	LR: 0.065746
Training Epoch: 1 [30976/46250]	Loss: 1.3818	LR: 0.066298
Training Epoch: 1 [31232/46250]	Loss: 1.3918	LR: 0.066851
Training Epoch: 1 [31488/46250]	Loss: 1.6102	LR: 0.067403
Training Epoch: 1 [31744/46250]	Loss: 1.2703	LR: 0.067956
Training Epoch: 1 [32000/46250]	Loss: 1.4335	LR: 0.068508
Training Epoch: 1 [32256/46250]	Loss: 1.3433	LR: 0.069061
Training Epoch: 1 [32512/46250]	Loss: 1.3797	LR: 0.069613
Training Epoch: 1 [32768/46250]	Loss: 1.5125	LR: 0.070166
Training Epoch: 1 [33024/46250]	Loss: 1.2969	LR: 0.070718
Training Epoch: 1 [33280/46250]	Loss: 1.3836	LR: 0.071271
Training Epoch: 1 [33536/46250]	Loss: 1.3232	LR: 0.071823
Training Epoch: 1 [33792/46250]	Loss: 1.3301	LR: 0.072376
Training Epoch: 1 [34048/46250]	Loss: 1.3660	LR: 0.072928
Training Epoch: 1 [34304/46250]	Loss: 1.3871	LR: 0.073481
Training Epoch: 1 [34560/46250]	Loss: 1.3148	LR: 0.074033
Training Epoch: 1 [34816/46250]	Loss: 1.4002	LR: 0.074586
Training Epoch: 1 [35072/46250]	Loss: 1.4871	LR: 0.075138
Training Epoch: 1 [35328/46250]	Loss: 1.3064	LR: 0.075691
Training Epoch: 1 [35584/46250]	Loss: 1.2906	LR: 0.076243
Training Epoch: 1 [35840/46250]	Loss: 1.3626	LR: 0.076796
Training Epoch: 1 [36096/46250]	Loss: 1.2343	LR: 0.077348
Training Epoch: 1 [36352/46250]	Loss: 1.2816	LR: 0.077901
Training Epoch: 1 [36608/46250]	Loss: 1.4008	LR: 0.078453
Training Epoch: 1 [36864/46250]	Loss: 1.3115	LR: 0.079006
Training Epoch: 1 [37120/46250]	Loss: 1.2978	LR: 0.079558
Training Epoch: 1 [37376/46250]	Loss: 1.1786	LR: 0.080110
Training Epoch: 1 [37632/46250]	Loss: 1.3871	LR: 0.080663
Training Epoch: 1 [37888/46250]	Loss: 1.3255	LR: 0.081215
Training Epoch: 1 [38144/46250]	Loss: 1.2616	LR: 0.081768
Training Epoch: 1 [38400/46250]	Loss: 1.3632	LR: 0.082320
Training Epoch: 1 [38656/46250]	Loss: 1.1173	LR: 0.082873
Training Epoch: 1 [38912/46250]	Loss: 1.2885	LR: 0.083425
Training Epoch: 1 [39168/46250]	Loss: 1.2583	LR: 0.083978
Training Epoch: 1 [39424/46250]	Loss: 1.2854	LR: 0.084530
Training Epoch: 1 [39680/46250]	Loss: 1.1852	LR: 0.085083
Training Epoch: 1 [39936/46250]	Loss: 1.2277	LR: 0.085635
Training Epoch: 1 [40192/46250]	Loss: 1.3767	LR: 0.086188
Training Epoch: 1 [40448/46250]	Loss: 1.1808	LR: 0.086740
Training Epoch: 1 [40704/46250]	Loss: 1.3628	LR: 0.087293
Training Epoch: 1 [40960/46250]	Loss: 1.4336	LR: 0.087845
Training Epoch: 1 [41216/46250]	Loss: 1.2719	LR: 0.088398
Training Epoch: 1 [41472/46250]	Loss: 1.2559	LR: 0.088950
Training Epoch: 1 [41728/46250]	Loss: 1.1117	LR: 0.089503
Training Epoch: 1 [41984/46250]	Loss: 1.3207	LR: 0.090055
Training Epoch: 1 [42240/46250]	Loss: 1.2933	LR: 0.090608
Training Epoch: 1 [42496/46250]	Loss: 1.1890	LR: 0.091160
Training Epoch: 1 [42752/46250]	Loss: 1.3004	LR: 0.091713
Training Epoch: 1 [43008/46250]	Loss: 1.2385	LR: 0.092265
Training Epoch: 1 [43264/46250]	Loss: 1.3459	LR: 0.092818
Training Epoch: 1 [43520/46250]	Loss: 1.3649	LR: 0.093370
Training Epoch: 1 [43776/46250]	Loss: 1.3034	LR: 0.093923
Training Epoch: 1 [44032/46250]	Loss: 1.2208	LR: 0.094475
Training Epoch: 1 [44288/46250]	Loss: 1.1199	LR: 0.095028
Training Epoch: 1 [44544/46250]	Loss: 1.0855	LR: 0.095580
Training Epoch: 1 [44800/46250]	Loss: 1.1505	LR: 0.096133
Training Epoch: 1 [45056/46250]	Loss: 1.2523	LR: 0.096685
Training Epoch: 1 [45312/46250]	Loss: 1.0770	LR: 0.097238
Training Epoch: 1 [45568/46250]	Loss: 1.1411	LR: 0.097790
Training Epoch: 1 [45824/46250]	Loss: 1.1240	LR: 0.098343
Training Epoch: 1 [46080/46250]	Loss: 1.1025	LR: 0.098895
Training Epoch: 1 [46250/46250]	Loss: 1.1459	LR: 0.099448
Epoch 1 - Average Train Loss: 1.5139, Train Accuracy: 0.4498
Epoch 1 training time consumed: 18.62s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0130, Accuracy: 0.3511, Time consumed:0.99s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_12h_16m_15s/ResNet18-Cifar10-seed5-ret25-1-best.pth
Training Epoch: 2 [256/46250]	Loss: 1.1160	LR: 0.020000
Training Epoch: 2 [512/46250]	Loss: 1.2304	LR: 0.020000
Training Epoch: 2 [768/46250]	Loss: 0.9840	LR: 0.020000
Training Epoch: 2 [1024/46250]	Loss: 1.0740	LR: 0.020000
Training Epoch: 2 [1280/46250]	Loss: 0.9441	LR: 0.020000
Training Epoch: 2 [1536/46250]	Loss: 1.0332	LR: 0.020000
Training Epoch: 2 [1792/46250]	Loss: 1.0147	LR: 0.020000
Training Epoch: 2 [2048/46250]	Loss: 0.9763	LR: 0.020000
Training Epoch: 2 [2304/46250]	Loss: 0.9579	LR: 0.020000
Training Epoch: 2 [2560/46250]	Loss: 0.9325	LR: 0.020000
Training Epoch: 2 [2816/46250]	Loss: 0.9637	LR: 0.020000
Training Epoch: 2 [3072/46250]	Loss: 0.9902	LR: 0.020000
Training Epoch: 2 [3328/46250]	Loss: 0.8914	LR: 0.020000
Training Epoch: 2 [3584/46250]	Loss: 0.9914	LR: 0.020000
Training Epoch: 2 [3840/46250]	Loss: 0.8836	LR: 0.020000
Training Epoch: 2 [4096/46250]	Loss: 0.8809	LR: 0.020000
Training Epoch: 2 [4352/46250]	Loss: 1.0772	LR: 0.020000
Training Epoch: 2 [4608/46250]	Loss: 0.9314	LR: 0.020000
Training Epoch: 2 [4864/46250]	Loss: 0.8675	LR: 0.020000
Training Epoch: 2 [5120/46250]	Loss: 0.9049	LR: 0.020000
Training Epoch: 2 [5376/46250]	Loss: 0.8238	LR: 0.020000
Training Epoch: 2 [5632/46250]	Loss: 0.9422	LR: 0.020000
Training Epoch: 2 [5888/46250]	Loss: 0.8880	LR: 0.020000
Training Epoch: 2 [6144/46250]	Loss: 0.9262	LR: 0.020000
Training Epoch: 2 [6400/46250]	Loss: 0.9101	LR: 0.020000
Training Epoch: 2 [6656/46250]	Loss: 0.8360	LR: 0.020000
Training Epoch: 2 [6912/46250]	Loss: 0.8960	LR: 0.020000
Training Epoch: 2 [7168/46250]	Loss: 0.9626	LR: 0.020000
Training Epoch: 2 [7424/46250]	Loss: 0.7768	LR: 0.020000
Training Epoch: 2 [7680/46250]	Loss: 0.8114	LR: 0.020000
Training Epoch: 2 [7936/46250]	Loss: 0.8557	LR: 0.020000
Training Epoch: 2 [8192/46250]	Loss: 0.8136	LR: 0.020000
Training Epoch: 2 [8448/46250]	Loss: 0.8927	LR: 0.020000
Training Epoch: 2 [8704/46250]	Loss: 0.9515	LR: 0.020000
Training Epoch: 2 [8960/46250]	Loss: 0.8832	LR: 0.020000
Training Epoch: 2 [9216/46250]	Loss: 0.8381	LR: 0.020000
Training Epoch: 2 [9472/46250]	Loss: 0.8301	LR: 0.020000
Training Epoch: 2 [9728/46250]	Loss: 0.9117	LR: 0.020000
Training Epoch: 2 [9984/46250]	Loss: 0.9160	LR: 0.020000
Training Epoch: 2 [10240/46250]	Loss: 0.8422	LR: 0.020000
Training Epoch: 2 [10496/46250]	Loss: 0.7463	LR: 0.020000
Training Epoch: 2 [10752/46250]	Loss: 0.8671	LR: 0.020000
Training Epoch: 2 [11008/46250]	Loss: 0.8287	LR: 0.020000
Training Epoch: 2 [11264/46250]	Loss: 0.7855	LR: 0.020000
Training Epoch: 2 [11520/46250]	Loss: 0.9450	LR: 0.020000
Training Epoch: 2 [11776/46250]	Loss: 0.8030	LR: 0.020000
Training Epoch: 2 [12032/46250]	Loss: 0.7580	LR: 0.020000
Training Epoch: 2 [12288/46250]	Loss: 0.7730	LR: 0.020000
Training Epoch: 2 [12544/46250]	Loss: 0.7946	LR: 0.020000
Training Epoch: 2 [12800/46250]	Loss: 0.7590	LR: 0.020000
Training Epoch: 2 [13056/46250]	Loss: 0.7772	LR: 0.020000
Training Epoch: 2 [13312/46250]	Loss: 0.7026	LR: 0.020000
Training Epoch: 2 [13568/46250]	Loss: 0.7309	LR: 0.020000
Training Epoch: 2 [13824/46250]	Loss: 0.9053	LR: 0.020000
Training Epoch: 2 [14080/46250]	Loss: 0.8290	LR: 0.020000
Training Epoch: 2 [14336/46250]	Loss: 0.7843	LR: 0.020000
Training Epoch: 2 [14592/46250]	Loss: 0.8248	LR: 0.020000
Training Epoch: 2 [14848/46250]	Loss: 0.8174	LR: 0.020000
Training Epoch: 2 [15104/46250]	Loss: 0.7343	LR: 0.020000
Training Epoch: 2 [15360/46250]	Loss: 0.8410	LR: 0.020000
Training Epoch: 2 [15616/46250]	Loss: 0.7151	LR: 0.020000
Training Epoch: 2 [15872/46250]	Loss: 0.8094	LR: 0.020000
Training Epoch: 2 [16128/46250]	Loss: 0.6999	LR: 0.020000
Training Epoch: 2 [16384/46250]	Loss: 0.6738	LR: 0.020000
Training Epoch: 2 [16640/46250]	Loss: 0.7399	LR: 0.020000
Training Epoch: 2 [16896/46250]	Loss: 0.8429	LR: 0.020000
Training Epoch: 2 [17152/46250]	Loss: 0.8614	LR: 0.020000
Training Epoch: 2 [17408/46250]	Loss: 0.8374	LR: 0.020000
Training Epoch: 2 [17664/46250]	Loss: 0.8014	LR: 0.020000
Training Epoch: 2 [17920/46250]	Loss: 0.8887	LR: 0.020000
Training Epoch: 2 [18176/46250]	Loss: 0.7174	LR: 0.020000
Training Epoch: 2 [18432/46250]	Loss: 0.7693	LR: 0.020000
Training Epoch: 2 [18688/46250]	Loss: 0.8376	LR: 0.020000
Training Epoch: 2 [18944/46250]	Loss: 0.7380	LR: 0.020000
Training Epoch: 2 [19200/46250]	Loss: 0.6415	LR: 0.020000
Training Epoch: 2 [19456/46250]	Loss: 0.8322	LR: 0.020000
Training Epoch: 2 [19712/46250]	Loss: 0.6960	LR: 0.020000
Training Epoch: 2 [19968/46250]	Loss: 0.8010	LR: 0.020000
Training Epoch: 2 [20224/46250]	Loss: 0.7825	LR: 0.020000
Training Epoch: 2 [20480/46250]	Loss: 0.7952	LR: 0.020000
Training Epoch: 2 [20736/46250]	Loss: 0.9044	LR: 0.020000
Training Epoch: 2 [20992/46250]	Loss: 0.7337	LR: 0.020000
Training Epoch: 2 [21248/46250]	Loss: 0.8113	LR: 0.020000
Training Epoch: 2 [21504/46250]	Loss: 0.8035	LR: 0.020000
Training Epoch: 2 [21760/46250]	Loss: 0.8234	LR: 0.020000
Training Epoch: 2 [22016/46250]	Loss: 0.7530	LR: 0.020000
Training Epoch: 2 [22272/46250]	Loss: 0.8520	LR: 0.020000
Training Epoch: 2 [22528/46250]	Loss: 0.6936	LR: 0.020000
Training Epoch: 2 [22784/46250]	Loss: 0.7189	LR: 0.020000
Training Epoch: 2 [23040/46250]	Loss: 0.7623	LR: 0.020000
Training Epoch: 2 [23296/46250]	Loss: 0.6875	LR: 0.020000
Training Epoch: 2 [23552/46250]	Loss: 0.8496	LR: 0.020000
Training Epoch: 2 [23808/46250]	Loss: 0.7702	LR: 0.020000
Training Epoch: 2 [24064/46250]	Loss: 0.8777	LR: 0.020000
Training Epoch: 2 [24320/46250]	Loss: 0.6975	LR: 0.020000
Training Epoch: 2 [24576/46250]	Loss: 0.7459	LR: 0.020000
Training Epoch: 2 [24832/46250]	Loss: 0.7593	LR: 0.020000
Training Epoch: 2 [25088/46250]	Loss: 0.7463	LR: 0.020000
Training Epoch: 2 [25344/46250]	Loss: 0.8016	LR: 0.020000
Training Epoch: 2 [25600/46250]	Loss: 0.8391	LR: 0.020000
Training Epoch: 2 [25856/46250]	Loss: 0.7649	LR: 0.020000
Training Epoch: 2 [26112/46250]	Loss: 0.7810	LR: 0.020000
Training Epoch: 2 [26368/46250]	Loss: 0.8484	LR: 0.020000
Training Epoch: 2 [26624/46250]	Loss: 0.7145	LR: 0.020000
Training Epoch: 2 [26880/46250]	Loss: 0.7700	LR: 0.020000
Training Epoch: 2 [27136/46250]	Loss: 0.7484	LR: 0.020000
Training Epoch: 2 [27392/46250]	Loss: 0.7345	LR: 0.020000
Training Epoch: 2 [27648/46250]	Loss: 0.7989	LR: 0.020000
Training Epoch: 2 [27904/46250]	Loss: 0.7023	LR: 0.020000
Training Epoch: 2 [28160/46250]	Loss: 0.6954	LR: 0.020000
Training Epoch: 2 [28416/46250]	Loss: 0.7105	LR: 0.020000
Training Epoch: 2 [28672/46250]	Loss: 0.7367	LR: 0.020000
Training Epoch: 2 [28928/46250]	Loss: 0.8323	LR: 0.020000
Training Epoch: 2 [29184/46250]	Loss: 0.6150	LR: 0.020000
Training Epoch: 2 [29440/46250]	Loss: 0.8279	LR: 0.020000
Training Epoch: 2 [29696/46250]	Loss: 0.7901	LR: 0.020000
Training Epoch: 2 [29952/46250]	Loss: 0.7909	LR: 0.020000
Training Epoch: 2 [30208/46250]	Loss: 0.6937	LR: 0.020000
Training Epoch: 2 [30464/46250]	Loss: 0.6967	LR: 0.020000
Training Epoch: 2 [30720/46250]	Loss: 0.6769	LR: 0.020000
Training Epoch: 2 [30976/46250]	Loss: 0.8073	LR: 0.020000
Training Epoch: 2 [31232/46250]	Loss: 0.6978	LR: 0.020000
Training Epoch: 2 [31488/46250]	Loss: 0.7649	LR: 0.020000
Training Epoch: 2 [31744/46250]	Loss: 0.7040	LR: 0.020000
Training Epoch: 2 [32000/46250]	Loss: 0.7269	LR: 0.020000
Training Epoch: 2 [32256/46250]	Loss: 0.8635	LR: 0.020000
Training Epoch: 2 [32512/46250]	Loss: 0.6942	LR: 0.020000
Training Epoch: 2 [32768/46250]	Loss: 0.6604	LR: 0.020000
Training Epoch: 2 [33024/46250]	Loss: 0.6468	LR: 0.020000
Training Epoch: 2 [33280/46250]	Loss: 0.7302	LR: 0.020000
Training Epoch: 2 [33536/46250]	Loss: 0.6259	LR: 0.020000
Training Epoch: 2 [33792/46250]	Loss: 0.5989	LR: 0.020000
Training Epoch: 2 [34048/46250]	Loss: 0.8056	LR: 0.020000
Training Epoch: 2 [34304/46250]	Loss: 0.7173	LR: 0.020000
Training Epoch: 2 [34560/46250]	Loss: 0.8620	LR: 0.020000
Training Epoch: 2 [34816/46250]	Loss: 0.7424	LR: 0.020000
Training Epoch: 2 [35072/46250]	Loss: 0.7278	LR: 0.020000
Training Epoch: 2 [35328/46250]	Loss: 0.6705	LR: 0.020000
Training Epoch: 2 [35584/46250]	Loss: 0.8744	LR: 0.020000
Training Epoch: 2 [35840/46250]	Loss: 0.7065	LR: 0.020000
Training Epoch: 2 [36096/46250]	Loss: 0.7315	LR: 0.020000
Training Epoch: 2 [36352/46250]	Loss: 0.7157	LR: 0.020000
Training Epoch: 2 [36608/46250]	Loss: 0.7244	LR: 0.020000
Training Epoch: 2 [36864/46250]	Loss: 0.7172	LR: 0.020000
Training Epoch: 2 [37120/46250]	Loss: 0.6275	LR: 0.020000
Training Epoch: 2 [37376/46250]	Loss: 0.7365	LR: 0.020000
Training Epoch: 2 [37632/46250]	Loss: 0.8027	LR: 0.020000
Training Epoch: 2 [37888/46250]	Loss: 0.7860	LR: 0.020000
Training Epoch: 2 [38144/46250]	Loss: 0.5886	LR: 0.020000
Training Epoch: 2 [38400/46250]	Loss: 0.6722	LR: 0.020000
Training Epoch: 2 [38656/46250]	Loss: 0.7328	LR: 0.020000
Training Epoch: 2 [38912/46250]	Loss: 0.8663	LR: 0.020000
Training Epoch: 2 [39168/46250]	Loss: 0.8497	LR: 0.020000
Training Epoch: 2 [39424/46250]	Loss: 0.8528	LR: 0.020000
Training Epoch: 2 [39680/46250]	Loss: 0.8091	LR: 0.020000
Training Epoch: 2 [39936/46250]	Loss: 0.6998	LR: 0.020000
Training Epoch: 2 [40192/46250]	Loss: 0.6753	LR: 0.020000
Training Epoch: 2 [40448/46250]	Loss: 0.7776	LR: 0.020000
Training Epoch: 2 [40704/46250]	Loss: 0.8090	LR: 0.020000
Training Epoch: 2 [40960/46250]	Loss: 0.7078	LR: 0.020000
Training Epoch: 2 [41216/46250]	Loss: 0.5806	LR: 0.020000
Training Epoch: 2 [41472/46250]	Loss: 0.6132	LR: 0.020000
Training Epoch: 2 [41728/46250]	Loss: 0.6884	LR: 0.020000
Training Epoch: 2 [41984/46250]	Loss: 0.6335	LR: 0.020000
Training Epoch: 2 [42240/46250]	Loss: 0.6600	LR: 0.020000
Training Epoch: 2 [42496/46250]	Loss: 0.7549	LR: 0.020000
Training Epoch: 2 [42752/46250]	Loss: 0.6740	LR: 0.020000
Training Epoch: 2 [43008/46250]	Loss: 0.7172	LR: 0.020000
Training Epoch: 2 [43264/46250]	Loss: 0.7420	LR: 0.020000
Training Epoch: 2 [43520/46250]	Loss: 0.6576	LR: 0.020000
Training Epoch: 2 [43776/46250]	Loss: 0.7535	LR: 0.020000
Training Epoch: 2 [44032/46250]	Loss: 0.6515	LR: 0.020000
Training Epoch: 2 [44288/46250]	Loss: 0.6081	LR: 0.020000
Training Epoch: 2 [44544/46250]	Loss: 0.7123	LR: 0.020000
Training Epoch: 2 [44800/46250]	Loss: 0.7407	LR: 0.020000
Training Epoch: 2 [45056/46250]	Loss: 0.8794	LR: 0.020000
Training Epoch: 2 [45312/46250]	Loss: 0.6017	LR: 0.020000
Training Epoch: 2 [45568/46250]	Loss: 0.6433	LR: 0.020000
Training Epoch: 2 [45824/46250]	Loss: 0.7329	LR: 0.020000
Training Epoch: 2 [46080/46250]	Loss: 0.6899	LR: 0.020000
Training Epoch: 2 [46250/46250]	Loss: 0.7390	LR: 0.020000
Epoch 2 - Average Train Loss: 0.7912, Train Accuracy: 0.7183
Epoch 2 training time consumed: 18.11s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0033, Accuracy: 0.7167, Time consumed:1.01s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_12h_16m_15s/ResNet18-Cifar10-seed5-ret25-2-best.pth
Training Epoch: 3 [256/46250]	Loss: 0.6718	LR: 0.020000
Training Epoch: 3 [512/46250]	Loss: 0.7160	LR: 0.020000
Training Epoch: 3 [768/46250]	Loss: 0.6275	LR: 0.020000
Training Epoch: 3 [1024/46250]	Loss: 0.5172	LR: 0.020000
Training Epoch: 3 [1280/46250]	Loss: 0.6893	LR: 0.020000
Training Epoch: 3 [1536/46250]	Loss: 0.5442	LR: 0.020000
Training Epoch: 3 [1792/46250]	Loss: 0.6229	LR: 0.020000
Training Epoch: 3 [2048/46250]	Loss: 0.5150	LR: 0.020000
Training Epoch: 3 [2304/46250]	Loss: 0.6977	LR: 0.020000
Training Epoch: 3 [2560/46250]	Loss: 0.5426	LR: 0.020000
Training Epoch: 3 [2816/46250]	Loss: 0.5362	LR: 0.020000
Training Epoch: 3 [3072/46250]	Loss: 0.5730	LR: 0.020000
Training Epoch: 3 [3328/46250]	Loss: 0.6020	LR: 0.020000
Training Epoch: 3 [3584/46250]	Loss: 0.6287	LR: 0.020000
Training Epoch: 3 [3840/46250]	Loss: 0.5669	LR: 0.020000
Training Epoch: 3 [4096/46250]	Loss: 0.7427	LR: 0.020000
Training Epoch: 3 [4352/46250]	Loss: 0.6247	LR: 0.020000
Training Epoch: 3 [4608/46250]	Loss: 0.6636	LR: 0.020000
Training Epoch: 3 [4864/46250]	Loss: 0.6003	LR: 0.020000
Training Epoch: 3 [5120/46250]	Loss: 0.6390	LR: 0.020000
Training Epoch: 3 [5376/46250]	Loss: 0.4760	LR: 0.020000
Training Epoch: 3 [5632/46250]	Loss: 0.5799	LR: 0.020000
Training Epoch: 3 [5888/46250]	Loss: 0.6359	LR: 0.020000
Training Epoch: 3 [6144/46250]	Loss: 0.5615	LR: 0.020000
Training Epoch: 3 [6400/46250]	Loss: 0.5183	LR: 0.020000
Training Epoch: 3 [6656/46250]	Loss: 0.6192	LR: 0.020000
Training Epoch: 3 [6912/46250]	Loss: 0.4711	LR: 0.020000
Training Epoch: 3 [7168/46250]	Loss: 0.4937	LR: 0.020000
Training Epoch: 3 [7424/46250]	Loss: 0.5374	LR: 0.020000
Training Epoch: 3 [7680/46250]	Loss: 0.4869	LR: 0.020000
Training Epoch: 3 [7936/46250]	Loss: 0.5018	LR: 0.020000
Training Epoch: 3 [8192/46250]	Loss: 0.6556	LR: 0.020000
Training Epoch: 3 [8448/46250]	Loss: 0.6239	LR: 0.020000
Training Epoch: 3 [8704/46250]	Loss: 0.5797	LR: 0.020000
Training Epoch: 3 [8960/46250]	Loss: 0.5695	LR: 0.020000
Training Epoch: 3 [9216/46250]	Loss: 0.5618	LR: 0.020000
Training Epoch: 3 [9472/46250]	Loss: 0.6576	LR: 0.020000
Training Epoch: 3 [9728/46250]	Loss: 0.6158	LR: 0.020000
Training Epoch: 3 [9984/46250]	Loss: 0.4986	LR: 0.020000
Training Epoch: 3 [10240/46250]	Loss: 0.6115	LR: 0.020000
Training Epoch: 3 [10496/46250]	Loss: 0.6054	LR: 0.020000
Training Epoch: 3 [10752/46250]	Loss: 0.4714	LR: 0.020000
Training Epoch: 3 [11008/46250]	Loss: 0.5602	LR: 0.020000
Training Epoch: 3 [11264/46250]	Loss: 0.5765	LR: 0.020000
Training Epoch: 3 [11520/46250]	Loss: 0.5206	LR: 0.020000
Training Epoch: 3 [11776/46250]	Loss: 0.6332	LR: 0.020000
Training Epoch: 3 [12032/46250]	Loss: 0.5023	LR: 0.020000
Training Epoch: 3 [12288/46250]	Loss: 0.7705	LR: 0.020000
Training Epoch: 3 [12544/46250]	Loss: 0.6518	LR: 0.020000
Training Epoch: 3 [12800/46250]	Loss: 0.5526	LR: 0.020000
Training Epoch: 3 [13056/46250]	Loss: 0.5110	LR: 0.020000
Training Epoch: 3 [13312/46250]	Loss: 0.6215	LR: 0.020000
Training Epoch: 3 [13568/46250]	Loss: 0.5862	LR: 0.020000
Training Epoch: 3 [13824/46250]	Loss: 0.6211	LR: 0.020000
Training Epoch: 3 [14080/46250]	Loss: 0.5809	LR: 0.020000
Training Epoch: 3 [14336/46250]	Loss: 0.5489	LR: 0.020000
Training Epoch: 3 [14592/46250]	Loss: 0.5089	LR: 0.020000
Training Epoch: 3 [14848/46250]	Loss: 0.5496	LR: 0.020000
Training Epoch: 3 [15104/46250]	Loss: 0.6305	LR: 0.020000
Training Epoch: 3 [15360/46250]	Loss: 0.5997	LR: 0.020000
Training Epoch: 3 [15616/46250]	Loss: 0.5654	LR: 0.020000
Training Epoch: 3 [15872/46250]	Loss: 0.6249	LR: 0.020000
Training Epoch: 3 [16128/46250]	Loss: 0.6578	LR: 0.020000
Training Epoch: 3 [16384/46250]	Loss: 0.6135	LR: 0.020000
Training Epoch: 3 [16640/46250]	Loss: 0.5251	LR: 0.020000
Training Epoch: 3 [16896/46250]	Loss: 0.5311	LR: 0.020000
Training Epoch: 3 [17152/46250]	Loss: 0.5909	LR: 0.020000
Training Epoch: 3 [17408/46250]	Loss: 0.5716	LR: 0.020000
Training Epoch: 3 [17664/46250]	Loss: 0.6240	LR: 0.020000
Training Epoch: 3 [17920/46250]	Loss: 0.5612	LR: 0.020000
Training Epoch: 3 [18176/46250]	Loss: 0.5444	LR: 0.020000
Training Epoch: 3 [18432/46250]	Loss: 0.6008	LR: 0.020000
Training Epoch: 3 [18688/46250]	Loss: 0.5863	LR: 0.020000
Training Epoch: 3 [18944/46250]	Loss: 0.5822	LR: 0.020000
Training Epoch: 3 [19200/46250]	Loss: 0.5886	LR: 0.020000
Training Epoch: 3 [19456/46250]	Loss: 0.6037	LR: 0.020000
Training Epoch: 3 [19712/46250]	Loss: 0.6487	LR: 0.020000
Training Epoch: 3 [19968/46250]	Loss: 0.4919	LR: 0.020000
Training Epoch: 3 [20224/46250]	Loss: 0.5176	LR: 0.020000
Training Epoch: 3 [20480/46250]	Loss: 0.6734	LR: 0.020000
Training Epoch: 3 [20736/46250]	Loss: 0.5716	LR: 0.020000
Training Epoch: 3 [20992/46250]	Loss: 0.5681	LR: 0.020000
Training Epoch: 3 [21248/46250]	Loss: 0.5128	LR: 0.020000
Training Epoch: 3 [21504/46250]	Loss: 0.6133	LR: 0.020000
Training Epoch: 3 [21760/46250]	Loss: 0.6211	LR: 0.020000
Training Epoch: 3 [22016/46250]	Loss: 0.5664	LR: 0.020000
Training Epoch: 3 [22272/46250]	Loss: 0.5559	LR: 0.020000
Training Epoch: 3 [22528/46250]	Loss: 0.7115	LR: 0.020000
Training Epoch: 3 [22784/46250]	Loss: 0.5596	LR: 0.020000
Training Epoch: 3 [23040/46250]	Loss: 0.4816	LR: 0.020000
Training Epoch: 3 [23296/46250]	Loss: 0.6145	LR: 0.020000
Training Epoch: 3 [23552/46250]	Loss: 0.5937	LR: 0.020000
Training Epoch: 3 [23808/46250]	Loss: 0.5644	LR: 0.020000
Training Epoch: 3 [24064/46250]	Loss: 0.4859	LR: 0.020000
Training Epoch: 3 [24320/46250]	Loss: 0.6792	LR: 0.020000
Training Epoch: 3 [24576/46250]	Loss: 0.5798	LR: 0.020000
Training Epoch: 3 [24832/46250]	Loss: 0.5475	LR: 0.020000
Training Epoch: 3 [25088/46250]	Loss: 0.4953	LR: 0.020000
Training Epoch: 3 [25344/46250]	Loss: 0.6112	LR: 0.020000
Training Epoch: 3 [25600/46250]	Loss: 0.6153	LR: 0.020000
Training Epoch: 3 [25856/46250]	Loss: 0.6893	LR: 0.020000
Training Epoch: 3 [26112/46250]	Loss: 0.4752	LR: 0.020000
Training Epoch: 3 [26368/46250]	Loss: 0.5514	LR: 0.020000
Training Epoch: 3 [26624/46250]	Loss: 0.5520	LR: 0.020000
Training Epoch: 3 [26880/46250]	Loss: 0.7176	LR: 0.020000
Training Epoch: 3 [27136/46250]	Loss: 0.6509	LR: 0.020000
Training Epoch: 3 [27392/46250]	Loss: 0.5717	LR: 0.020000
Training Epoch: 3 [27648/46250]	Loss: 0.5890	LR: 0.020000
Training Epoch: 3 [27904/46250]	Loss: 0.5411	LR: 0.020000
Training Epoch: 3 [28160/46250]	Loss: 0.5943	LR: 0.020000
Training Epoch: 3 [28416/46250]	Loss: 0.5809	LR: 0.020000
Training Epoch: 3 [28672/46250]	Loss: 0.5532	LR: 0.020000
Training Epoch: 3 [28928/46250]	Loss: 0.6856	LR: 0.020000
Training Epoch: 3 [29184/46250]	Loss: 0.6561	LR: 0.020000
Training Epoch: 3 [29440/46250]	Loss: 0.5278	LR: 0.020000
Training Epoch: 3 [29696/46250]	Loss: 0.5624	LR: 0.020000
Training Epoch: 3 [29952/46250]	Loss: 0.6181	LR: 0.020000
Training Epoch: 3 [30208/46250]	Loss: 0.5710	LR: 0.020000
Training Epoch: 3 [30464/46250]	Loss: 0.6553	LR: 0.020000
Training Epoch: 3 [30720/46250]	Loss: 0.5554	LR: 0.020000
Training Epoch: 3 [30976/46250]	Loss: 0.5232	LR: 0.020000
Training Epoch: 3 [31232/46250]	Loss: 0.5735	LR: 0.020000
Training Epoch: 3 [31488/46250]	Loss: 0.6857	LR: 0.020000
Training Epoch: 3 [31744/46250]	Loss: 0.6121	LR: 0.020000
Training Epoch: 3 [32000/46250]	Loss: 0.4907	LR: 0.020000
Training Epoch: 3 [32256/46250]	Loss: 0.6201	LR: 0.020000
Training Epoch: 3 [32512/46250]	Loss: 0.5669	LR: 0.020000
Training Epoch: 3 [32768/46250]	Loss: 0.5736	LR: 0.020000
Training Epoch: 3 [33024/46250]	Loss: 0.6571	LR: 0.020000
Training Epoch: 3 [33280/46250]	Loss: 0.5161	LR: 0.020000
Training Epoch: 3 [33536/46250]	Loss: 0.5444	LR: 0.020000
Training Epoch: 3 [33792/46250]	Loss: 0.5579	LR: 0.020000
Training Epoch: 3 [34048/46250]	Loss: 0.6185	LR: 0.020000
Training Epoch: 3 [34304/46250]	Loss: 0.6850	LR: 0.020000
Training Epoch: 3 [34560/46250]	Loss: 0.6245	LR: 0.020000
Training Epoch: 3 [34816/46250]	Loss: 0.5638	LR: 0.020000
Training Epoch: 3 [35072/46250]	Loss: 0.5829	LR: 0.020000
Training Epoch: 3 [35328/46250]	Loss: 0.4695	LR: 0.020000
Training Epoch: 3 [35584/46250]	Loss: 0.6277	LR: 0.020000
Training Epoch: 3 [35840/46250]	Loss: 0.5511	LR: 0.020000
Training Epoch: 3 [36096/46250]	Loss: 0.6501	LR: 0.020000
Training Epoch: 3 [36352/46250]	Loss: 0.6683	LR: 0.020000
Training Epoch: 3 [36608/46250]	Loss: 0.5106	LR: 0.020000
Training Epoch: 3 [36864/46250]	Loss: 0.6860	LR: 0.020000
Training Epoch: 3 [37120/46250]	Loss: 0.5420	LR: 0.020000
Training Epoch: 3 [37376/46250]	Loss: 0.6186	LR: 0.020000
Training Epoch: 3 [37632/46250]	Loss: 0.7194	LR: 0.020000
Training Epoch: 3 [37888/46250]	Loss: 0.5971	LR: 0.020000
Training Epoch: 3 [38144/46250]	Loss: 0.5551	LR: 0.020000
Training Epoch: 3 [38400/46250]	Loss: 0.6833	LR: 0.020000
Training Epoch: 3 [38656/46250]	Loss: 0.5850	LR: 0.020000
Training Epoch: 3 [38912/46250]	Loss: 0.5481	LR: 0.020000
Training Epoch: 3 [39168/46250]	Loss: 0.5942	LR: 0.020000
Training Epoch: 3 [39424/46250]	Loss: 0.5954	LR: 0.020000
Training Epoch: 3 [39680/46250]	Loss: 0.7176	LR: 0.020000
Training Epoch: 3 [39936/46250]	Loss: 0.6899	LR: 0.020000
Training Epoch: 3 [40192/46250]	Loss: 0.5399	LR: 0.020000
Training Epoch: 3 [40448/46250]	Loss: 0.5564	LR: 0.020000
Training Epoch: 3 [40704/46250]	Loss: 0.5343	LR: 0.020000
Training Epoch: 3 [40960/46250]	Loss: 0.6891	LR: 0.020000
Training Epoch: 3 [41216/46250]	Loss: 0.5825	LR: 0.020000
Training Epoch: 3 [41472/46250]	Loss: 0.5544	LR: 0.020000
Training Epoch: 3 [41728/46250]	Loss: 0.5389	LR: 0.020000
Training Epoch: 3 [41984/46250]	Loss: 0.5887	LR: 0.020000
Training Epoch: 3 [42240/46250]	Loss: 0.6878	LR: 0.020000
Training Epoch: 3 [42496/46250]	Loss: 0.5927	LR: 0.020000
Training Epoch: 3 [42752/46250]	Loss: 0.5518	LR: 0.020000
Training Epoch: 3 [43008/46250]	Loss: 0.6141	LR: 0.020000
Training Epoch: 3 [43264/46250]	Loss: 0.5332	LR: 0.020000
Training Epoch: 3 [43520/46250]	Loss: 0.4847	LR: 0.020000
Training Epoch: 3 [43776/46250]	Loss: 0.5826	LR: 0.020000
Training Epoch: 3 [44032/46250]	Loss: 0.6377	LR: 0.020000
Training Epoch: 3 [44288/46250]	Loss: 0.6313	LR: 0.020000
Training Epoch: 3 [44544/46250]	Loss: 0.5807	LR: 0.020000
Training Epoch: 3 [44800/46250]	Loss: 0.5549	LR: 0.020000
Training Epoch: 3 [45056/46250]	Loss: 0.6487	LR: 0.020000
Training Epoch: 3 [45312/46250]	Loss: 0.6633	LR: 0.020000
Training Epoch: 3 [45568/46250]	Loss: 0.4458	LR: 0.020000
Training Epoch: 3 [45824/46250]	Loss: 0.5053	LR: 0.020000
Training Epoch: 3 [46080/46250]	Loss: 0.4863	LR: 0.020000
Training Epoch: 3 [46250/46250]	Loss: 0.5777	LR: 0.020000
Epoch 3 - Average Train Loss: 0.5873, Train Accuracy: 0.7933
Epoch 3 training time consumed: 17.97s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0028, Accuracy: 0.7638, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_12h_16m_15s/ResNet18-Cifar10-seed5-ret25-3-best.pth
Training Epoch: 4 [256/46250]	Loss: 0.4485	LR: 0.020000
Training Epoch: 4 [512/46250]	Loss: 0.4802	LR: 0.020000
Training Epoch: 4 [768/46250]	Loss: 0.4952	LR: 0.020000
Training Epoch: 4 [1024/46250]	Loss: 0.4885	LR: 0.020000
Training Epoch: 4 [1280/46250]	Loss: 0.3956	LR: 0.020000
Training Epoch: 4 [1536/46250]	Loss: 0.4431	LR: 0.020000
Training Epoch: 4 [1792/46250]	Loss: 0.3936	LR: 0.020000
Training Epoch: 4 [2048/46250]	Loss: 0.4274	LR: 0.020000
Training Epoch: 4 [2304/46250]	Loss: 0.4523	LR: 0.020000
Training Epoch: 4 [2560/46250]	Loss: 0.4993	LR: 0.020000
Training Epoch: 4 [2816/46250]	Loss: 0.4344	LR: 0.020000
Training Epoch: 4 [3072/46250]	Loss: 0.3840	LR: 0.020000
Training Epoch: 4 [3328/46250]	Loss: 0.4047	LR: 0.020000
Training Epoch: 4 [3584/46250]	Loss: 0.3215	LR: 0.020000
Training Epoch: 4 [3840/46250]	Loss: 0.4335	LR: 0.020000
Training Epoch: 4 [4096/46250]	Loss: 0.3814	LR: 0.020000
Training Epoch: 4 [4352/46250]	Loss: 0.4887	LR: 0.020000
Training Epoch: 4 [4608/46250]	Loss: 0.3138	LR: 0.020000
Training Epoch: 4 [4864/46250]	Loss: 0.3791	LR: 0.020000
Training Epoch: 4 [5120/46250]	Loss: 0.4579	LR: 0.020000
Training Epoch: 4 [5376/46250]	Loss: 0.4322	LR: 0.020000
Training Epoch: 4 [5632/46250]	Loss: 0.4949	LR: 0.020000
Training Epoch: 4 [5888/46250]	Loss: 0.4834	LR: 0.020000
Training Epoch: 4 [6144/46250]	Loss: 0.4303	LR: 0.020000
Training Epoch: 4 [6400/46250]	Loss: 0.4351	LR: 0.020000
Training Epoch: 4 [6656/46250]	Loss: 0.4097	LR: 0.020000
Training Epoch: 4 [6912/46250]	Loss: 0.3886	LR: 0.020000
Training Epoch: 4 [7168/46250]	Loss: 0.4174	LR: 0.020000
Training Epoch: 4 [7424/46250]	Loss: 0.4251	LR: 0.020000
Training Epoch: 4 [7680/46250]	Loss: 0.4397	LR: 0.020000
Training Epoch: 4 [7936/46250]	Loss: 0.4627	LR: 0.020000
Training Epoch: 4 [8192/46250]	Loss: 0.4382	LR: 0.020000
Training Epoch: 4 [8448/46250]	Loss: 0.5383	LR: 0.020000
Training Epoch: 4 [8704/46250]	Loss: 0.4412	LR: 0.020000
Training Epoch: 4 [8960/46250]	Loss: 0.4191	LR: 0.020000
Training Epoch: 4 [9216/46250]	Loss: 0.4222	LR: 0.020000
Training Epoch: 4 [9472/46250]	Loss: 0.4453	LR: 0.020000
Training Epoch: 4 [9728/46250]	Loss: 0.3753	LR: 0.020000
Training Epoch: 4 [9984/46250]	Loss: 0.5113	LR: 0.020000
Training Epoch: 4 [10240/46250]	Loss: 0.4744	LR: 0.020000
Training Epoch: 4 [10496/46250]	Loss: 0.4481	LR: 0.020000
Training Epoch: 4 [10752/46250]	Loss: 0.3858	LR: 0.020000
Training Epoch: 4 [11008/46250]	Loss: 0.4193	LR: 0.020000
Training Epoch: 4 [11264/46250]	Loss: 0.4472	LR: 0.020000
Training Epoch: 4 [11520/46250]	Loss: 0.4860	LR: 0.020000
Training Epoch: 4 [11776/46250]	Loss: 0.4392	LR: 0.020000
Training Epoch: 4 [12032/46250]	Loss: 0.3988	LR: 0.020000
Training Epoch: 4 [12288/46250]	Loss: 0.3938	LR: 0.020000
Training Epoch: 4 [12544/46250]	Loss: 0.3704	LR: 0.020000
Training Epoch: 4 [12800/46250]	Loss: 0.5191	LR: 0.020000
Training Epoch: 4 [13056/46250]	Loss: 0.4871	LR: 0.020000
Training Epoch: 4 [13312/46250]	Loss: 0.3960	LR: 0.020000
Training Epoch: 4 [13568/46250]	Loss: 0.4634	LR: 0.020000
Training Epoch: 4 [13824/46250]	Loss: 0.4248	LR: 0.020000
Training Epoch: 4 [14080/46250]	Loss: 0.4221	LR: 0.020000
Training Epoch: 4 [14336/46250]	Loss: 0.4219	LR: 0.020000
Training Epoch: 4 [14592/46250]	Loss: 0.4274	LR: 0.020000
Training Epoch: 4 [14848/46250]	Loss: 0.6107	LR: 0.020000
Training Epoch: 4 [15104/46250]	Loss: 0.4424	LR: 0.020000
Training Epoch: 4 [15360/46250]	Loss: 0.4350	LR: 0.020000
Training Epoch: 4 [15616/46250]	Loss: 0.3889	LR: 0.020000
Training Epoch: 4 [15872/46250]	Loss: 0.4189	LR: 0.020000
Training Epoch: 4 [16128/46250]	Loss: 0.5121	LR: 0.020000
Training Epoch: 4 [16384/46250]	Loss: 0.4469	LR: 0.020000
Training Epoch: 4 [16640/46250]	Loss: 0.4193	LR: 0.020000
Training Epoch: 4 [16896/46250]	Loss: 0.5476	LR: 0.020000
Training Epoch: 4 [17152/46250]	Loss: 0.4503	LR: 0.020000
Training Epoch: 4 [17408/46250]	Loss: 0.5274	LR: 0.020000
Training Epoch: 4 [17664/46250]	Loss: 0.4143	LR: 0.020000
Training Epoch: 4 [17920/46250]	Loss: 0.4736	LR: 0.020000
Training Epoch: 4 [18176/46250]	Loss: 0.4540	LR: 0.020000
Training Epoch: 4 [18432/46250]	Loss: 0.4670	LR: 0.020000
Training Epoch: 4 [18688/46250]	Loss: 0.3739	LR: 0.020000
Training Epoch: 4 [18944/46250]	Loss: 0.4511	LR: 0.020000
Training Epoch: 4 [19200/46250]	Loss: 0.4676	LR: 0.020000
Training Epoch: 4 [19456/46250]	Loss: 0.4600	LR: 0.020000
Training Epoch: 4 [19712/46250]	Loss: 0.4096	LR: 0.020000
Training Epoch: 4 [19968/46250]	Loss: 0.4948	LR: 0.020000
Training Epoch: 4 [20224/46250]	Loss: 0.5059	LR: 0.020000
Training Epoch: 4 [20480/46250]	Loss: 0.4825	LR: 0.020000
Training Epoch: 4 [20736/46250]	Loss: 0.4988	LR: 0.020000
Training Epoch: 4 [20992/46250]	Loss: 0.4323	LR: 0.020000
Training Epoch: 4 [21248/46250]	Loss: 0.4628	LR: 0.020000
Training Epoch: 4 [21504/46250]	Loss: 0.4105	LR: 0.020000
Training Epoch: 4 [21760/46250]	Loss: 0.4718	LR: 0.020000
Training Epoch: 4 [22016/46250]	Loss: 0.5424	LR: 0.020000
Training Epoch: 4 [22272/46250]	Loss: 0.5329	LR: 0.020000
Training Epoch: 4 [22528/46250]	Loss: 0.4495	LR: 0.020000
Training Epoch: 4 [22784/46250]	Loss: 0.4808	LR: 0.020000
Training Epoch: 4 [23040/46250]	Loss: 0.3837	LR: 0.020000
Training Epoch: 4 [23296/46250]	Loss: 0.4468	LR: 0.020000
Training Epoch: 4 [23552/46250]	Loss: 0.3873	LR: 0.020000
Training Epoch: 4 [23808/46250]	Loss: 0.6107	LR: 0.020000
Training Epoch: 4 [24064/46250]	Loss: 0.5402	LR: 0.020000
Training Epoch: 4 [24320/46250]	Loss: 0.4719	LR: 0.020000
Training Epoch: 4 [24576/46250]	Loss: 0.3974	LR: 0.020000
Training Epoch: 4 [24832/46250]	Loss: 0.3978	LR: 0.020000
Training Epoch: 4 [25088/46250]	Loss: 0.4071	LR: 0.020000
Training Epoch: 4 [25344/46250]	Loss: 0.5268	LR: 0.020000
Training Epoch: 4 [25600/46250]	Loss: 0.4400	LR: 0.020000
Training Epoch: 4 [25856/46250]	Loss: 0.5058	LR: 0.020000
Training Epoch: 4 [26112/46250]	Loss: 0.4984	LR: 0.020000
Training Epoch: 4 [26368/46250]	Loss: 0.4309	LR: 0.020000
Training Epoch: 4 [26624/46250]	Loss: 0.4572	LR: 0.020000
Training Epoch: 4 [26880/46250]	Loss: 0.4497	LR: 0.020000
Training Epoch: 4 [27136/46250]	Loss: 0.4879	LR: 0.020000
Training Epoch: 4 [27392/46250]	Loss: 0.4197	LR: 0.020000
Training Epoch: 4 [27648/46250]	Loss: 0.5021	LR: 0.020000
Training Epoch: 4 [27904/46250]	Loss: 0.4224	LR: 0.020000
Training Epoch: 4 [28160/46250]	Loss: 0.4937	LR: 0.020000
Training Epoch: 4 [28416/46250]	Loss: 0.4697	LR: 0.020000
Training Epoch: 4 [28672/46250]	Loss: 0.3917	LR: 0.020000
Training Epoch: 4 [28928/46250]	Loss: 0.4276	LR: 0.020000
Training Epoch: 4 [29184/46250]	Loss: 0.3958	LR: 0.020000
Training Epoch: 4 [29440/46250]	Loss: 0.5676	LR: 0.020000
Training Epoch: 4 [29696/46250]	Loss: 0.4940	LR: 0.020000
Training Epoch: 4 [29952/46250]	Loss: 0.5231	LR: 0.020000
Training Epoch: 4 [30208/46250]	Loss: 0.4182	LR: 0.020000
Training Epoch: 4 [30464/46250]	Loss: 0.5057	LR: 0.020000
Training Epoch: 4 [30720/46250]	Loss: 0.4053	LR: 0.020000
Training Epoch: 4 [30976/46250]	Loss: 0.4402	LR: 0.020000
Training Epoch: 4 [31232/46250]	Loss: 0.4936	LR: 0.020000
Training Epoch: 4 [31488/46250]	Loss: 0.4057	LR: 0.020000
Training Epoch: 4 [31744/46250]	Loss: 0.4464	LR: 0.020000
Training Epoch: 4 [32000/46250]	Loss: 0.4097	LR: 0.020000
Training Epoch: 4 [32256/46250]	Loss: 0.4159	LR: 0.020000
Training Epoch: 4 [32512/46250]	Loss: 0.3858	LR: 0.020000
Training Epoch: 4 [32768/46250]	Loss: 0.4317	LR: 0.020000
Training Epoch: 4 [33024/46250]	Loss: 0.5175	LR: 0.020000
Training Epoch: 4 [33280/46250]	Loss: 0.4976	LR: 0.020000
Training Epoch: 4 [33536/46250]	Loss: 0.4607	LR: 0.020000
Training Epoch: 4 [33792/46250]	Loss: 0.5253	LR: 0.020000
Training Epoch: 4 [34048/46250]	Loss: 0.3984	LR: 0.020000
Training Epoch: 4 [34304/46250]	Loss: 0.4284	LR: 0.020000
Training Epoch: 4 [34560/46250]	Loss: 0.4380	LR: 0.020000
Training Epoch: 4 [34816/46250]	Loss: 0.5123	LR: 0.020000
Training Epoch: 4 [35072/46250]	Loss: 0.4475	LR: 0.020000
Training Epoch: 4 [35328/46250]	Loss: 0.4962	LR: 0.020000
Training Epoch: 4 [35584/46250]	Loss: 0.4655	LR: 0.020000
Training Epoch: 4 [35840/46250]	Loss: 0.5102	LR: 0.020000
Training Epoch: 4 [36096/46250]	Loss: 0.5491	LR: 0.020000
Training Epoch: 4 [36352/46250]	Loss: 0.5027	LR: 0.020000
Training Epoch: 4 [36608/46250]	Loss: 0.5382	LR: 0.020000
Training Epoch: 4 [36864/46250]	Loss: 0.3969	LR: 0.020000
Training Epoch: 4 [37120/46250]	Loss: 0.4332	LR: 0.020000
Training Epoch: 4 [37376/46250]	Loss: 0.5704	LR: 0.020000
Training Epoch: 4 [37632/46250]	Loss: 0.4480	LR: 0.020000
Training Epoch: 4 [37888/46250]	Loss: 0.4830	LR: 0.020000
Training Epoch: 4 [38144/46250]	Loss: 0.4486	LR: 0.020000
Training Epoch: 4 [38400/46250]	Loss: 0.4287	LR: 0.020000
Training Epoch: 4 [38656/46250]	Loss: 0.4525	LR: 0.020000
Training Epoch: 4 [38912/46250]	Loss: 0.4612	LR: 0.020000
Training Epoch: 4 [39168/46250]	Loss: 0.4466	LR: 0.020000
Training Epoch: 4 [39424/46250]	Loss: 0.6282	LR: 0.020000
Training Epoch: 4 [39680/46250]	Loss: 0.4124	LR: 0.020000
Training Epoch: 4 [39936/46250]	Loss: 0.3971	LR: 0.020000
Training Epoch: 4 [40192/46250]	Loss: 0.5636	LR: 0.020000
Training Epoch: 4 [40448/46250]	Loss: 0.4763	LR: 0.020000
Training Epoch: 4 [40704/46250]	Loss: 0.3439	LR: 0.020000
Training Epoch: 4 [40960/46250]	Loss: 0.3449	LR: 0.020000
Training Epoch: 4 [41216/46250]	Loss: 0.5312	LR: 0.020000
Training Epoch: 4 [41472/46250]	Loss: 0.4522	LR: 0.020000
Training Epoch: 4 [41728/46250]	Loss: 0.3988	LR: 0.020000
Training Epoch: 4 [41984/46250]	Loss: 0.3858	LR: 0.020000
Training Epoch: 4 [42240/46250]	Loss: 0.4046	LR: 0.020000
Training Epoch: 4 [42496/46250]	Loss: 0.4957	LR: 0.020000
Training Epoch: 4 [42752/46250]	Loss: 0.3429	LR: 0.020000
Training Epoch: 4 [43008/46250]	Loss: 0.4219	LR: 0.020000
Training Epoch: 4 [43264/46250]	Loss: 0.4250	LR: 0.020000
Training Epoch: 4 [43520/46250]	Loss: 0.4181	LR: 0.020000
Training Epoch: 4 [43776/46250]	Loss: 0.3765	LR: 0.020000
Training Epoch: 4 [44032/46250]	Loss: 0.4397	LR: 0.020000
Training Epoch: 4 [44288/46250]	Loss: 0.4460	LR: 0.020000
Training Epoch: 4 [44544/46250]	Loss: 0.3726	LR: 0.020000
Training Epoch: 4 [44800/46250]	Loss: 0.3621	LR: 0.020000
Training Epoch: 4 [45056/46250]	Loss: 0.4923	LR: 0.020000
Training Epoch: 4 [45312/46250]	Loss: 0.3525	LR: 0.020000
Training Epoch: 4 [45568/46250]	Loss: 0.4006	LR: 0.020000
Training Epoch: 4 [45824/46250]	Loss: 0.4764	LR: 0.020000
Training Epoch: 4 [46080/46250]	Loss: 0.4959	LR: 0.020000
Training Epoch: 4 [46250/46250]	Loss: 0.4079	LR: 0.020000
Epoch 4 - Average Train Loss: 0.4494, Train Accuracy: 0.8426
Epoch 4 training time consumed: 17.82s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0031, Accuracy: 0.7587, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_12h_16m_15s/ResNet18-Cifar10-seed5-ret25-4-best.pth
Training Epoch: 5 [256/46250]	Loss: 0.3168	LR: 0.004000
Training Epoch: 5 [512/46250]	Loss: 0.3634	LR: 0.004000
Training Epoch: 5 [768/46250]	Loss: 0.3232	LR: 0.004000
Training Epoch: 5 [1024/46250]	Loss: 0.3284	LR: 0.004000
Training Epoch: 5 [1280/46250]	Loss: 0.3048	LR: 0.004000
Training Epoch: 5 [1536/46250]	Loss: 0.2686	LR: 0.004000
Training Epoch: 5 [1792/46250]	Loss: 0.3193	LR: 0.004000
Training Epoch: 5 [2048/46250]	Loss: 0.2630	LR: 0.004000
Training Epoch: 5 [2304/46250]	Loss: 0.3058	LR: 0.004000
Training Epoch: 5 [2560/46250]	Loss: 0.3099	LR: 0.004000
Training Epoch: 5 [2816/46250]	Loss: 0.2818	LR: 0.004000
Training Epoch: 5 [3072/46250]	Loss: 0.3141	LR: 0.004000
Training Epoch: 5 [3328/46250]	Loss: 0.2487	LR: 0.004000
Training Epoch: 5 [3584/46250]	Loss: 0.2889	LR: 0.004000
Training Epoch: 5 [3840/46250]	Loss: 0.2253	LR: 0.004000
Training Epoch: 5 [4096/46250]	Loss: 0.2799	LR: 0.004000
Training Epoch: 5 [4352/46250]	Loss: 0.2445	LR: 0.004000
Training Epoch: 5 [4608/46250]	Loss: 0.3112	LR: 0.004000
Training Epoch: 5 [4864/46250]	Loss: 0.2847	LR: 0.004000
Training Epoch: 5 [5120/46250]	Loss: 0.2603	LR: 0.004000
Training Epoch: 5 [5376/46250]	Loss: 0.2534	LR: 0.004000
Training Epoch: 5 [5632/46250]	Loss: 0.2374	LR: 0.004000
Training Epoch: 5 [5888/46250]	Loss: 0.2025	LR: 0.004000
Training Epoch: 5 [6144/46250]	Loss: 0.2122	LR: 0.004000
Training Epoch: 5 [6400/46250]	Loss: 0.2100	LR: 0.004000
Training Epoch: 5 [6656/46250]	Loss: 0.2388	LR: 0.004000
Training Epoch: 5 [6912/46250]	Loss: 0.2332	LR: 0.004000
Training Epoch: 5 [7168/46250]	Loss: 0.2565	LR: 0.004000
Training Epoch: 5 [7424/46250]	Loss: 0.1980	LR: 0.004000
Training Epoch: 5 [7680/46250]	Loss: 0.2442	LR: 0.004000
Training Epoch: 5 [7936/46250]	Loss: 0.2217	LR: 0.004000
Training Epoch: 5 [8192/46250]	Loss: 0.2437	LR: 0.004000
Training Epoch: 5 [8448/46250]	Loss: 0.2496	LR: 0.004000
Training Epoch: 5 [8704/46250]	Loss: 0.2182	LR: 0.004000
Training Epoch: 5 [8960/46250]	Loss: 0.2689	LR: 0.004000
Training Epoch: 5 [9216/46250]	Loss: 0.2663	LR: 0.004000
Training Epoch: 5 [9472/46250]	Loss: 0.2068	LR: 0.004000
Training Epoch: 5 [9728/46250]	Loss: 0.2355	LR: 0.004000
Training Epoch: 5 [9984/46250]	Loss: 0.2924	LR: 0.004000
Training Epoch: 5 [10240/46250]	Loss: 0.2268	LR: 0.004000
Training Epoch: 5 [10496/46250]	Loss: 0.2552	LR: 0.004000
Training Epoch: 5 [10752/46250]	Loss: 0.2707	LR: 0.004000
Training Epoch: 5 [11008/46250]	Loss: 0.2042	LR: 0.004000
Training Epoch: 5 [11264/46250]	Loss: 0.2425	LR: 0.004000
Training Epoch: 5 [11520/46250]	Loss: 0.2202	LR: 0.004000
Training Epoch: 5 [11776/46250]	Loss: 0.1967	LR: 0.004000
Training Epoch: 5 [12032/46250]	Loss: 0.2490	LR: 0.004000
Training Epoch: 5 [12288/46250]	Loss: 0.2204	LR: 0.004000
Training Epoch: 5 [12544/46250]	Loss: 0.1743	LR: 0.004000
Training Epoch: 5 [12800/46250]	Loss: 0.1965	LR: 0.004000
Training Epoch: 5 [13056/46250]	Loss: 0.2337	LR: 0.004000
Training Epoch: 5 [13312/46250]	Loss: 0.2540	LR: 0.004000
Training Epoch: 5 [13568/46250]	Loss: 0.2408	LR: 0.004000
Training Epoch: 5 [13824/46250]	Loss: 0.3442	LR: 0.004000
Training Epoch: 5 [14080/46250]	Loss: 0.1961	LR: 0.004000
Training Epoch: 5 [14336/46250]	Loss: 0.1992	LR: 0.004000
Training Epoch: 5 [14592/46250]	Loss: 0.2279	LR: 0.004000
Training Epoch: 5 [14848/46250]	Loss: 0.2392	LR: 0.004000
Training Epoch: 5 [15104/46250]	Loss: 0.2041	LR: 0.004000
Training Epoch: 5 [15360/46250]	Loss: 0.2600	LR: 0.004000
Training Epoch: 5 [15616/46250]	Loss: 0.1754	LR: 0.004000
Training Epoch: 5 [15872/46250]	Loss: 0.2246	LR: 0.004000
Training Epoch: 5 [16128/46250]	Loss: 0.1953	LR: 0.004000
Training Epoch: 5 [16384/46250]	Loss: 0.2444	LR: 0.004000
Training Epoch: 5 [16640/46250]	Loss: 0.2308	LR: 0.004000
Training Epoch: 5 [16896/46250]	Loss: 0.2504	LR: 0.004000
Training Epoch: 5 [17152/46250]	Loss: 0.2238	LR: 0.004000
Training Epoch: 5 [17408/46250]	Loss: 0.1631	LR: 0.004000
Training Epoch: 5 [17664/46250]	Loss: 0.2168	LR: 0.004000
Training Epoch: 5 [17920/46250]	Loss: 0.2177	LR: 0.004000
Training Epoch: 5 [18176/46250]	Loss: 0.2094	LR: 0.004000
Training Epoch: 5 [18432/46250]	Loss: 0.1842	LR: 0.004000
Training Epoch: 5 [18688/46250]	Loss: 0.2428	LR: 0.004000
Training Epoch: 5 [18944/46250]	Loss: 0.2698	LR: 0.004000
Training Epoch: 5 [19200/46250]	Loss: 0.2741	LR: 0.004000
Training Epoch: 5 [19456/46250]	Loss: 0.2302	LR: 0.004000
Training Epoch: 5 [19712/46250]	Loss: 0.2256	LR: 0.004000
Training Epoch: 5 [19968/46250]	Loss: 0.1792	LR: 0.004000
Training Epoch: 5 [20224/46250]	Loss: 0.1673	LR: 0.004000
Training Epoch: 5 [20480/46250]	Loss: 0.2058	LR: 0.004000
Training Epoch: 5 [20736/46250]	Loss: 0.2700	LR: 0.004000
Training Epoch: 5 [20992/46250]	Loss: 0.2157	LR: 0.004000
Training Epoch: 5 [21248/46250]	Loss: 0.2271	LR: 0.004000
Training Epoch: 5 [21504/46250]	Loss: 0.1668	LR: 0.004000
Training Epoch: 5 [21760/46250]	Loss: 0.1770	LR: 0.004000
Training Epoch: 5 [22016/46250]	Loss: 0.1898	LR: 0.004000
Training Epoch: 5 [22272/46250]	Loss: 0.2065	LR: 0.004000
Training Epoch: 5 [22528/46250]	Loss: 0.1714	LR: 0.004000
Training Epoch: 5 [22784/46250]	Loss: 0.2205	LR: 0.004000
Training Epoch: 5 [23040/46250]	Loss: 0.1791	LR: 0.004000
Training Epoch: 5 [23296/46250]	Loss: 0.2057	LR: 0.004000
Training Epoch: 5 [23552/46250]	Loss: 0.2239	LR: 0.004000
Training Epoch: 5 [23808/46250]	Loss: 0.1889	LR: 0.004000
Training Epoch: 5 [24064/46250]	Loss: 0.1612	LR: 0.004000
Training Epoch: 5 [24320/46250]	Loss: 0.2140	LR: 0.004000
Training Epoch: 5 [24576/46250]	Loss: 0.1524	LR: 0.004000
Training Epoch: 5 [24832/46250]	Loss: 0.1761	LR: 0.004000
Training Epoch: 5 [25088/46250]	Loss: 0.2831	LR: 0.004000
Training Epoch: 5 [25344/46250]	Loss: 0.2368	LR: 0.004000
Training Epoch: 5 [25600/46250]	Loss: 0.1600	LR: 0.004000
Training Epoch: 5 [25856/46250]	Loss: 0.2048	LR: 0.004000
Training Epoch: 5 [26112/46250]	Loss: 0.2459	LR: 0.004000
Training Epoch: 5 [26368/46250]	Loss: 0.2276	LR: 0.004000
Training Epoch: 5 [26624/46250]	Loss: 0.1536	LR: 0.004000
Training Epoch: 5 [26880/46250]	Loss: 0.2325	LR: 0.004000
Training Epoch: 5 [27136/46250]	Loss: 0.1780	LR: 0.004000
Training Epoch: 5 [27392/46250]	Loss: 0.2495	LR: 0.004000
Training Epoch: 5 [27648/46250]	Loss: 0.2017	LR: 0.004000
Training Epoch: 5 [27904/46250]	Loss: 0.1923	LR: 0.004000
Training Epoch: 5 [28160/46250]	Loss: 0.1792	LR: 0.004000
Training Epoch: 5 [28416/46250]	Loss: 0.1676	LR: 0.004000
Training Epoch: 5 [28672/46250]	Loss: 0.1536	LR: 0.004000
Training Epoch: 5 [28928/46250]	Loss: 0.2112	LR: 0.004000
Training Epoch: 5 [29184/46250]	Loss: 0.1917	LR: 0.004000
Training Epoch: 5 [29440/46250]	Loss: 0.2276	LR: 0.004000
Training Epoch: 5 [29696/46250]	Loss: 0.1627	LR: 0.004000
Training Epoch: 5 [29952/46250]	Loss: 0.2096	LR: 0.004000
Training Epoch: 5 [30208/46250]	Loss: 0.2376	LR: 0.004000
Training Epoch: 5 [30464/46250]	Loss: 0.1396	LR: 0.004000
Training Epoch: 5 [30720/46250]	Loss: 0.1904	LR: 0.004000
Training Epoch: 5 [30976/46250]	Loss: 0.1805	LR: 0.004000
Training Epoch: 5 [31232/46250]	Loss: 0.1677	LR: 0.004000
Training Epoch: 5 [31488/46250]	Loss: 0.2469	LR: 0.004000
Training Epoch: 5 [31744/46250]	Loss: 0.1496	LR: 0.004000
Training Epoch: 5 [32000/46250]	Loss: 0.1993	LR: 0.004000
Training Epoch: 5 [32256/46250]	Loss: 0.1699	LR: 0.004000
Training Epoch: 5 [32512/46250]	Loss: 0.1881	LR: 0.004000
Training Epoch: 5 [32768/46250]	Loss: 0.1671	LR: 0.004000
Training Epoch: 5 [33024/46250]	Loss: 0.1809	LR: 0.004000
Training Epoch: 5 [33280/46250]	Loss: 0.1877	LR: 0.004000
Training Epoch: 5 [33536/46250]	Loss: 0.1427	LR: 0.004000
Training Epoch: 5 [33792/46250]	Loss: 0.1532	LR: 0.004000
Training Epoch: 5 [34048/46250]	Loss: 0.1685	LR: 0.004000
Training Epoch: 5 [34304/46250]	Loss: 0.1573	LR: 0.004000
Training Epoch: 5 [34560/46250]	Loss: 0.1826	LR: 0.004000
Training Epoch: 5 [34816/46250]	Loss: 0.2666	LR: 0.004000
Training Epoch: 5 [35072/46250]	Loss: 0.1209	LR: 0.004000
Training Epoch: 5 [35328/46250]	Loss: 0.1481	LR: 0.004000
Training Epoch: 5 [35584/46250]	Loss: 0.1606	LR: 0.004000
Training Epoch: 5 [35840/46250]	Loss: 0.2478	LR: 0.004000
Training Epoch: 5 [36096/46250]	Loss: 0.2000	LR: 0.004000
Training Epoch: 5 [36352/46250]	Loss: 0.1500	LR: 0.004000
Training Epoch: 5 [36608/46250]	Loss: 0.1907	LR: 0.004000
Training Epoch: 5 [36864/46250]	Loss: 0.1897	LR: 0.004000
Training Epoch: 5 [37120/46250]	Loss: 0.1884	LR: 0.004000
Training Epoch: 5 [37376/46250]	Loss: 0.1976	LR: 0.004000
Training Epoch: 5 [37632/46250]	Loss: 0.1417	LR: 0.004000
Training Epoch: 5 [37888/46250]	Loss: 0.2029	LR: 0.004000
Training Epoch: 5 [38144/46250]	Loss: 0.1436	LR: 0.004000
Training Epoch: 5 [38400/46250]	Loss: 0.1846	LR: 0.004000
Training Epoch: 5 [38656/46250]	Loss: 0.2090	LR: 0.004000
Training Epoch: 5 [38912/46250]	Loss: 0.2650	LR: 0.004000
Training Epoch: 5 [39168/46250]	Loss: 0.1373	LR: 0.004000
Training Epoch: 5 [39424/46250]	Loss: 0.1866	LR: 0.004000
Training Epoch: 5 [39680/46250]	Loss: 0.1535	LR: 0.004000
Training Epoch: 5 [39936/46250]	Loss: 0.2166	LR: 0.004000
Training Epoch: 5 [40192/46250]	Loss: 0.1558	LR: 0.004000
Training Epoch: 5 [40448/46250]	Loss: 0.1668	LR: 0.004000
Training Epoch: 5 [40704/46250]	Loss: 0.2007	LR: 0.004000
Training Epoch: 5 [40960/46250]	Loss: 0.1536	LR: 0.004000
Training Epoch: 5 [41216/46250]	Loss: 0.2105	LR: 0.004000
Training Epoch: 5 [41472/46250]	Loss: 0.1214	LR: 0.004000
Training Epoch: 5 [41728/46250]	Loss: 0.1287	LR: 0.004000
Training Epoch: 5 [41984/46250]	Loss: 0.1509	LR: 0.004000
Training Epoch: 5 [42240/46250]	Loss: 0.1802	LR: 0.004000
Training Epoch: 5 [42496/46250]	Loss: 0.1617	LR: 0.004000
Training Epoch: 5 [42752/46250]	Loss: 0.1909	LR: 0.004000
Training Epoch: 5 [43008/46250]	Loss: 0.1932	LR: 0.004000
Training Epoch: 5 [43264/46250]	Loss: 0.1974	LR: 0.004000
Training Epoch: 5 [43520/46250]	Loss: 0.1379	LR: 0.004000
Training Epoch: 5 [43776/46250]	Loss: 0.1646	LR: 0.004000
Training Epoch: 5 [44032/46250]	Loss: 0.1311	LR: 0.004000
Training Epoch: 5 [44288/46250]	Loss: 0.1901	LR: 0.004000
Training Epoch: 5 [44544/46250]	Loss: 0.1477	LR: 0.004000
Training Epoch: 5 [44800/46250]	Loss: 0.1488	LR: 0.004000
Training Epoch: 5 [45056/46250]	Loss: 0.1716	LR: 0.004000
Training Epoch: 5 [45312/46250]	Loss: 0.1549	LR: 0.004000
Training Epoch: 5 [45568/46250]	Loss: 0.2210	LR: 0.004000
Training Epoch: 5 [45824/46250]	Loss: 0.1720	LR: 0.004000
Training Epoch: 5 [46080/46250]	Loss: 0.1431	LR: 0.004000
Training Epoch: 5 [46250/46250]	Loss: 0.1894	LR: 0.004000
Epoch 5 - Average Train Loss: 0.2112, Train Accuracy: 0.9324
Epoch 5 training time consumed: 18.22s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0021, Accuracy: 0.8225, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_12h_16m_15s/ResNet18-Cifar10-seed5-ret25-5-best.pth
Training Epoch: 6 [256/46250]	Loss: 0.0919	LR: 0.004000
Training Epoch: 6 [512/46250]	Loss: 0.1012	LR: 0.004000
Training Epoch: 6 [768/46250]	Loss: 0.1021	LR: 0.004000
Training Epoch: 6 [1024/46250]	Loss: 0.1234	LR: 0.004000
Training Epoch: 6 [1280/46250]	Loss: 0.1186	LR: 0.004000
Training Epoch: 6 [1536/46250]	Loss: 0.1367	LR: 0.004000
Training Epoch: 6 [1792/46250]	Loss: 0.1252	LR: 0.004000
Training Epoch: 6 [2048/46250]	Loss: 0.1026	LR: 0.004000
Training Epoch: 6 [2304/46250]	Loss: 0.1379	LR: 0.004000
Training Epoch: 6 [2560/46250]	Loss: 0.1085	LR: 0.004000
Training Epoch: 6 [2816/46250]	Loss: 0.1046	LR: 0.004000
Training Epoch: 6 [3072/46250]	Loss: 0.1004	LR: 0.004000
Training Epoch: 6 [3328/46250]	Loss: 0.1428	LR: 0.004000
Training Epoch: 6 [3584/46250]	Loss: 0.1461	LR: 0.004000
Training Epoch: 6 [3840/46250]	Loss: 0.1369	LR: 0.004000
Training Epoch: 6 [4096/46250]	Loss: 0.1051	LR: 0.004000
Training Epoch: 6 [4352/46250]	Loss: 0.0838	LR: 0.004000
Training Epoch: 6 [4608/46250]	Loss: 0.1026	LR: 0.004000
Training Epoch: 6 [4864/46250]	Loss: 0.1348	LR: 0.004000
Training Epoch: 6 [5120/46250]	Loss: 0.1393	LR: 0.004000
Training Epoch: 6 [5376/46250]	Loss: 0.1135	LR: 0.004000
Training Epoch: 6 [5632/46250]	Loss: 0.1232	LR: 0.004000
Training Epoch: 6 [5888/46250]	Loss: 0.1424	LR: 0.004000
Training Epoch: 6 [6144/46250]	Loss: 0.1281	LR: 0.004000
Training Epoch: 6 [6400/46250]	Loss: 0.1265	LR: 0.004000
Training Epoch: 6 [6656/46250]	Loss: 0.1083	LR: 0.004000
Training Epoch: 6 [6912/46250]	Loss: 0.1647	LR: 0.004000
Training Epoch: 6 [7168/46250]	Loss: 0.1068	LR: 0.004000
Training Epoch: 6 [7424/46250]	Loss: 0.1404	LR: 0.004000
Training Epoch: 6 [7680/46250]	Loss: 0.1297	LR: 0.004000
Training Epoch: 6 [7936/46250]	Loss: 0.1164	LR: 0.004000
Training Epoch: 6 [8192/46250]	Loss: 0.1063	LR: 0.004000
Training Epoch: 6 [8448/46250]	Loss: 0.0976	LR: 0.004000
Training Epoch: 6 [8704/46250]	Loss: 0.0908	LR: 0.004000
Training Epoch: 6 [8960/46250]	Loss: 0.1406	LR: 0.004000
Training Epoch: 6 [9216/46250]	Loss: 0.0936	LR: 0.004000
Training Epoch: 6 [9472/46250]	Loss: 0.1800	LR: 0.004000
Training Epoch: 6 [9728/46250]	Loss: 0.1050	LR: 0.004000
Training Epoch: 6 [9984/46250]	Loss: 0.1046	LR: 0.004000
Training Epoch: 6 [10240/46250]	Loss: 0.1175	LR: 0.004000
Training Epoch: 6 [10496/46250]	Loss: 0.1450	LR: 0.004000
Training Epoch: 6 [10752/46250]	Loss: 0.1048	LR: 0.004000
Training Epoch: 6 [11008/46250]	Loss: 0.1676	LR: 0.004000
Training Epoch: 6 [11264/46250]	Loss: 0.1438	LR: 0.004000
Training Epoch: 6 [11520/46250]	Loss: 0.1044	LR: 0.004000
Training Epoch: 6 [11776/46250]	Loss: 0.1263	LR: 0.004000
Training Epoch: 6 [12032/46250]	Loss: 0.1401	LR: 0.004000
Training Epoch: 6 [12288/46250]	Loss: 0.1480	LR: 0.004000
Training Epoch: 6 [12544/46250]	Loss: 0.1495	LR: 0.004000
Training Epoch: 6 [12800/46250]	Loss: 0.1042	LR: 0.004000
Training Epoch: 6 [13056/46250]	Loss: 0.1311	LR: 0.004000
Training Epoch: 6 [13312/46250]	Loss: 0.1033	LR: 0.004000
Training Epoch: 6 [13568/46250]	Loss: 0.1183	LR: 0.004000
Training Epoch: 6 [13824/46250]	Loss: 0.0740	LR: 0.004000
Training Epoch: 6 [14080/46250]	Loss: 0.1395	LR: 0.004000
Training Epoch: 6 [14336/46250]	Loss: 0.0847	LR: 0.004000
Training Epoch: 6 [14592/46250]	Loss: 0.1254	LR: 0.004000
Training Epoch: 6 [14848/46250]	Loss: 0.1076	LR: 0.004000
Training Epoch: 6 [15104/46250]	Loss: 0.1227	LR: 0.004000
Training Epoch: 6 [15360/46250]	Loss: 0.1173	LR: 0.004000
Training Epoch: 6 [15616/46250]	Loss: 0.1418	LR: 0.004000
Training Epoch: 6 [15872/46250]	Loss: 0.1137	LR: 0.004000
Training Epoch: 6 [16128/46250]	Loss: 0.0807	LR: 0.004000
Training Epoch: 6 [16384/46250]	Loss: 0.1027	LR: 0.004000
Training Epoch: 6 [16640/46250]	Loss: 0.1046	LR: 0.004000
Training Epoch: 6 [16896/46250]	Loss: 0.1250	LR: 0.004000
Training Epoch: 6 [17152/46250]	Loss: 0.1325	LR: 0.004000
Training Epoch: 6 [17408/46250]	Loss: 0.1205	LR: 0.004000
Training Epoch: 6 [17664/46250]	Loss: 0.1032	LR: 0.004000
Training Epoch: 6 [17920/46250]	Loss: 0.1289	LR: 0.004000
Training Epoch: 6 [18176/46250]	Loss: 0.1192	LR: 0.004000
Training Epoch: 6 [18432/46250]	Loss: 0.1068	LR: 0.004000
Training Epoch: 6 [18688/46250]	Loss: 0.1057	LR: 0.004000
Training Epoch: 6 [18944/46250]	Loss: 0.0891	LR: 0.004000
Training Epoch: 6 [19200/46250]	Loss: 0.1800	LR: 0.004000
Training Epoch: 6 [19456/46250]	Loss: 0.1538	LR: 0.004000
Training Epoch: 6 [19712/46250]	Loss: 0.1360	LR: 0.004000
Training Epoch: 6 [19968/46250]	Loss: 0.0847	LR: 0.004000
Training Epoch: 6 [20224/46250]	Loss: 0.1110	LR: 0.004000
Training Epoch: 6 [20480/46250]	Loss: 0.1356	LR: 0.004000
Training Epoch: 6 [20736/46250]	Loss: 0.1107	LR: 0.004000
Training Epoch: 6 [20992/46250]	Loss: 0.1109	LR: 0.004000
Training Epoch: 6 [21248/46250]	Loss: 0.1320	LR: 0.004000
Training Epoch: 6 [21504/46250]	Loss: 0.1008	LR: 0.004000
Training Epoch: 6 [21760/46250]	Loss: 0.1009	LR: 0.004000
Training Epoch: 6 [22016/46250]	Loss: 0.1273	LR: 0.004000
Training Epoch: 6 [22272/46250]	Loss: 0.1102	LR: 0.004000
Training Epoch: 6 [22528/46250]	Loss: 0.1105	LR: 0.004000
Training Epoch: 6 [22784/46250]	Loss: 0.0929	LR: 0.004000
Training Epoch: 6 [23040/46250]	Loss: 0.1596	LR: 0.004000
Training Epoch: 6 [23296/46250]	Loss: 0.1457	LR: 0.004000
Training Epoch: 6 [23552/46250]	Loss: 0.1041	LR: 0.004000
Training Epoch: 6 [23808/46250]	Loss: 0.1779	LR: 0.004000
Training Epoch: 6 [24064/46250]	Loss: 0.1534	LR: 0.004000
Training Epoch: 6 [24320/46250]	Loss: 0.0777	LR: 0.004000
Training Epoch: 6 [24576/46250]	Loss: 0.0743	LR: 0.004000
Training Epoch: 6 [24832/46250]	Loss: 0.0953	LR: 0.004000
Training Epoch: 6 [25088/46250]	Loss: 0.1083	LR: 0.004000
Training Epoch: 6 [25344/46250]	Loss: 0.0976	LR: 0.004000
Training Epoch: 6 [25600/46250]	Loss: 0.1807	LR: 0.004000
Training Epoch: 6 [25856/46250]	Loss: 0.1539	LR: 0.004000
Training Epoch: 6 [26112/46250]	Loss: 0.1110	LR: 0.004000
Training Epoch: 6 [26368/46250]	Loss: 0.1069	LR: 0.004000
Training Epoch: 6 [26624/46250]	Loss: 0.1502	LR: 0.004000
Training Epoch: 6 [26880/46250]	Loss: 0.0955	LR: 0.004000
Training Epoch: 6 [27136/46250]	Loss: 0.1447	LR: 0.004000
Training Epoch: 6 [27392/46250]	Loss: 0.0868	LR: 0.004000
Training Epoch: 6 [27648/46250]	Loss: 0.0882	LR: 0.004000
Training Epoch: 6 [27904/46250]	Loss: 0.1000	LR: 0.004000
Training Epoch: 6 [28160/46250]	Loss: 0.1328	LR: 0.004000
Training Epoch: 6 [28416/46250]	Loss: 0.1095	LR: 0.004000
Training Epoch: 6 [28672/46250]	Loss: 0.1576	LR: 0.004000
Training Epoch: 6 [28928/46250]	Loss: 0.1117	LR: 0.004000
Training Epoch: 6 [29184/46250]	Loss: 0.1146	LR: 0.004000
Training Epoch: 6 [29440/46250]	Loss: 0.1351	LR: 0.004000
Training Epoch: 6 [29696/46250]	Loss: 0.1146	LR: 0.004000
Training Epoch: 6 [29952/46250]	Loss: 0.0889	LR: 0.004000
Training Epoch: 6 [30208/46250]	Loss: 0.1482	LR: 0.004000
Training Epoch: 6 [30464/46250]	Loss: 0.1313	LR: 0.004000
Training Epoch: 6 [30720/46250]	Loss: 0.1507	LR: 0.004000
Training Epoch: 6 [30976/46250]	Loss: 0.0954	LR: 0.004000
Training Epoch: 6 [31232/46250]	Loss: 0.1449	LR: 0.004000
Training Epoch: 6 [31488/46250]	Loss: 0.1291	LR: 0.004000
Training Epoch: 6 [31744/46250]	Loss: 0.0888	LR: 0.004000
Training Epoch: 6 [32000/46250]	Loss: 0.1100	LR: 0.004000
Training Epoch: 6 [32256/46250]	Loss: 0.1070	LR: 0.004000
Training Epoch: 6 [32512/46250]	Loss: 0.0862	LR: 0.004000
Training Epoch: 6 [32768/46250]	Loss: 0.1337	LR: 0.004000
Training Epoch: 6 [33024/46250]	Loss: 0.1423	LR: 0.004000
Training Epoch: 6 [33280/46250]	Loss: 0.1033	LR: 0.004000
Training Epoch: 6 [33536/46250]	Loss: 0.1029	LR: 0.004000
Training Epoch: 6 [33792/46250]	Loss: 0.1312	LR: 0.004000
Training Epoch: 6 [34048/46250]	Loss: 0.0924	LR: 0.004000
Training Epoch: 6 [34304/46250]	Loss: 0.0970	LR: 0.004000
Training Epoch: 6 [34560/46250]	Loss: 0.1110	LR: 0.004000
Training Epoch: 6 [34816/46250]	Loss: 0.1053	LR: 0.004000
Training Epoch: 6 [35072/46250]	Loss: 0.1028	LR: 0.004000
Training Epoch: 6 [35328/46250]	Loss: 0.1159	LR: 0.004000
Training Epoch: 6 [35584/46250]	Loss: 0.0740	LR: 0.004000
Training Epoch: 6 [35840/46250]	Loss: 0.1244	LR: 0.004000
Training Epoch: 6 [36096/46250]	Loss: 0.1715	LR: 0.004000
Training Epoch: 6 [36352/46250]	Loss: 0.1266	LR: 0.004000
Training Epoch: 6 [36608/46250]	Loss: 0.1000	LR: 0.004000
Training Epoch: 6 [36864/46250]	Loss: 0.1486	LR: 0.004000
Training Epoch: 6 [37120/46250]	Loss: 0.1375	LR: 0.004000
Training Epoch: 6 [37376/46250]	Loss: 0.0877	LR: 0.004000
Training Epoch: 6 [37632/46250]	Loss: 0.1207	LR: 0.004000
Training Epoch: 6 [37888/46250]	Loss: 0.1342	LR: 0.004000
Training Epoch: 6 [38144/46250]	Loss: 0.1099	LR: 0.004000
Training Epoch: 6 [38400/46250]	Loss: 0.0791	LR: 0.004000
Training Epoch: 6 [38656/46250]	Loss: 0.1475	LR: 0.004000
Training Epoch: 6 [38912/46250]	Loss: 0.0753	LR: 0.004000
Training Epoch: 6 [39168/46250]	Loss: 0.1467	LR: 0.004000
Training Epoch: 6 [39424/46250]	Loss: 0.1033	LR: 0.004000
Training Epoch: 6 [39680/46250]	Loss: 0.0942	LR: 0.004000
Training Epoch: 6 [39936/46250]	Loss: 0.1124	LR: 0.004000
Training Epoch: 6 [40192/46250]	Loss: 0.1089	LR: 0.004000
Training Epoch: 6 [40448/46250]	Loss: 0.1111	LR: 0.004000
Training Epoch: 6 [40704/46250]	Loss: 0.0857	LR: 0.004000
Training Epoch: 6 [40960/46250]	Loss: 0.1222	LR: 0.004000
Training Epoch: 6 [41216/46250]	Loss: 0.1193	LR: 0.004000
Training Epoch: 6 [41472/46250]	Loss: 0.1068	LR: 0.004000
Training Epoch: 6 [41728/46250]	Loss: 0.1404	LR: 0.004000
Training Epoch: 6 [41984/46250]	Loss: 0.1484	LR: 0.004000
Training Epoch: 6 [42240/46250]	Loss: 0.1388	LR: 0.004000
Training Epoch: 6 [42496/46250]	Loss: 0.1628	LR: 0.004000
Training Epoch: 6 [42752/46250]	Loss: 0.1250	LR: 0.004000
Training Epoch: 6 [43008/46250]	Loss: 0.0801	LR: 0.004000
Training Epoch: 6 [43264/46250]	Loss: 0.1060	LR: 0.004000
Training Epoch: 6 [43520/46250]	Loss: 0.1579	LR: 0.004000
Training Epoch: 6 [43776/46250]	Loss: 0.0887	LR: 0.004000
Training Epoch: 6 [44032/46250]	Loss: 0.1395	LR: 0.004000
Training Epoch: 6 [44288/46250]	Loss: 0.1561	LR: 0.004000
Training Epoch: 6 [44544/46250]	Loss: 0.1051	LR: 0.004000
Training Epoch: 6 [44800/46250]	Loss: 0.1244	LR: 0.004000
Training Epoch: 6 [45056/46250]	Loss: 0.1409	LR: 0.004000
Training Epoch: 6 [45312/46250]	Loss: 0.1505	LR: 0.004000
Training Epoch: 6 [45568/46250]	Loss: 0.1339	LR: 0.004000
Training Epoch: 6 [45824/46250]	Loss: 0.1470	LR: 0.004000
Training Epoch: 6 [46080/46250]	Loss: 0.0996	LR: 0.004000
Training Epoch: 6 [46250/46250]	Loss: 0.1412	LR: 0.004000
Epoch 6 - Average Train Loss: 0.1196, Train Accuracy: 0.9662
Epoch 6 training time consumed: 18.14s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0024, Accuracy: 0.8188, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_12h_16m_15s/ResNet18-Cifar10-seed5-ret25-6-best.pth
Training Epoch: 7 [256/46250]	Loss: 0.0768	LR: 0.004000
Training Epoch: 7 [512/46250]	Loss: 0.0524	LR: 0.004000
Training Epoch: 7 [768/46250]	Loss: 0.0678	LR: 0.004000
Training Epoch: 7 [1024/46250]	Loss: 0.0642	LR: 0.004000
Training Epoch: 7 [1280/46250]	Loss: 0.0553	LR: 0.004000
Training Epoch: 7 [1536/46250]	Loss: 0.0491	LR: 0.004000
Training Epoch: 7 [1792/46250]	Loss: 0.0730	LR: 0.004000
Training Epoch: 7 [2048/46250]	Loss: 0.0677	LR: 0.004000
Training Epoch: 7 [2304/46250]	Loss: 0.0844	LR: 0.004000
Training Epoch: 7 [2560/46250]	Loss: 0.0609	LR: 0.004000
Training Epoch: 7 [2816/46250]	Loss: 0.0465	LR: 0.004000
Training Epoch: 7 [3072/46250]	Loss: 0.0420	LR: 0.004000
Training Epoch: 7 [3328/46250]	Loss: 0.0818	LR: 0.004000
Training Epoch: 7 [3584/46250]	Loss: 0.0882	LR: 0.004000
Training Epoch: 7 [3840/46250]	Loss: 0.0850	LR: 0.004000
Training Epoch: 7 [4096/46250]	Loss: 0.0604	LR: 0.004000
Training Epoch: 7 [4352/46250]	Loss: 0.0728	LR: 0.004000
Training Epoch: 7 [4608/46250]	Loss: 0.0556	LR: 0.004000
Training Epoch: 7 [4864/46250]	Loss: 0.0630	LR: 0.004000
Training Epoch: 7 [5120/46250]	Loss: 0.0844	LR: 0.004000
Training Epoch: 7 [5376/46250]	Loss: 0.0538	LR: 0.004000
Training Epoch: 7 [5632/46250]	Loss: 0.0519	LR: 0.004000
Training Epoch: 7 [5888/46250]	Loss: 0.0427	LR: 0.004000
Training Epoch: 7 [6144/46250]	Loss: 0.0529	LR: 0.004000
Training Epoch: 7 [6400/46250]	Loss: 0.0584	LR: 0.004000
Training Epoch: 7 [6656/46250]	Loss: 0.0642	LR: 0.004000
Training Epoch: 7 [6912/46250]	Loss: 0.0620	LR: 0.004000
Training Epoch: 7 [7168/46250]	Loss: 0.0534	LR: 0.004000
Training Epoch: 7 [7424/46250]	Loss: 0.0432	LR: 0.004000
Training Epoch: 7 [7680/46250]	Loss: 0.0723	LR: 0.004000
Training Epoch: 7 [7936/46250]	Loss: 0.0677	LR: 0.004000
Training Epoch: 7 [8192/46250]	Loss: 0.0515	LR: 0.004000
Training Epoch: 7 [8448/46250]	Loss: 0.0495	LR: 0.004000
Training Epoch: 7 [8704/46250]	Loss: 0.0648	LR: 0.004000
Training Epoch: 7 [8960/46250]	Loss: 0.0470	LR: 0.004000
Training Epoch: 7 [9216/46250]	Loss: 0.0567	LR: 0.004000
Training Epoch: 7 [9472/46250]	Loss: 0.0701	LR: 0.004000
Training Epoch: 7 [9728/46250]	Loss: 0.0433	LR: 0.004000
Training Epoch: 7 [9984/46250]	Loss: 0.0793	LR: 0.004000
Training Epoch: 7 [10240/46250]	Loss: 0.0506	LR: 0.004000
Training Epoch: 7 [10496/46250]	Loss: 0.0614	LR: 0.004000
Training Epoch: 7 [10752/46250]	Loss: 0.0634	LR: 0.004000
Training Epoch: 7 [11008/46250]	Loss: 0.0632	LR: 0.004000
Training Epoch: 7 [11264/46250]	Loss: 0.0587	LR: 0.004000
Training Epoch: 7 [11520/46250]	Loss: 0.0461	LR: 0.004000
Training Epoch: 7 [11776/46250]	Loss: 0.0426	LR: 0.004000
Training Epoch: 7 [12032/46250]	Loss: 0.0386	LR: 0.004000
Training Epoch: 7 [12288/46250]	Loss: 0.0468	LR: 0.004000
Training Epoch: 7 [12544/46250]	Loss: 0.0592	LR: 0.004000
Training Epoch: 7 [12800/46250]	Loss: 0.0545	LR: 0.004000
Training Epoch: 7 [13056/46250]	Loss: 0.0439	LR: 0.004000
Training Epoch: 7 [13312/46250]	Loss: 0.0715	LR: 0.004000
Training Epoch: 7 [13568/46250]	Loss: 0.0545	LR: 0.004000
Training Epoch: 7 [13824/46250]	Loss: 0.0759	LR: 0.004000
Training Epoch: 7 [14080/46250]	Loss: 0.0845	LR: 0.004000
Training Epoch: 7 [14336/46250]	Loss: 0.0716	LR: 0.004000
Training Epoch: 7 [14592/46250]	Loss: 0.0610	LR: 0.004000
Training Epoch: 7 [14848/46250]	Loss: 0.0431	LR: 0.004000
Training Epoch: 7 [15104/46250]	Loss: 0.0696	LR: 0.004000
Training Epoch: 7 [15360/46250]	Loss: 0.0507	LR: 0.004000
Training Epoch: 7 [15616/46250]	Loss: 0.0674	LR: 0.004000
Training Epoch: 7 [15872/46250]	Loss: 0.0665	LR: 0.004000
Training Epoch: 7 [16128/46250]	Loss: 0.0377	LR: 0.004000
Training Epoch: 7 [16384/46250]	Loss: 0.0617	LR: 0.004000
Training Epoch: 7 [16640/46250]	Loss: 0.0530	LR: 0.004000
Training Epoch: 7 [16896/46250]	Loss: 0.0593	LR: 0.004000
Training Epoch: 7 [17152/46250]	Loss: 0.0376	LR: 0.004000
Training Epoch: 7 [17408/46250]	Loss: 0.0546	LR: 0.004000
Training Epoch: 7 [17664/46250]	Loss: 0.0567	LR: 0.004000
Training Epoch: 7 [17920/46250]	Loss: 0.0565	LR: 0.004000
Training Epoch: 7 [18176/46250]	Loss: 0.0934	LR: 0.004000
Training Epoch: 7 [18432/46250]	Loss: 0.0675	LR: 0.004000
Training Epoch: 7 [18688/46250]	Loss: 0.0361	LR: 0.004000
Training Epoch: 7 [18944/46250]	Loss: 0.0588	LR: 0.004000
Training Epoch: 7 [19200/46250]	Loss: 0.0696	LR: 0.004000
Training Epoch: 7 [19456/46250]	Loss: 0.0524	LR: 0.004000
Training Epoch: 7 [19712/46250]	Loss: 0.0596	LR: 0.004000
Training Epoch: 7 [19968/46250]	Loss: 0.0529	LR: 0.004000
Training Epoch: 7 [20224/46250]	Loss: 0.0631	LR: 0.004000
Training Epoch: 7 [20480/46250]	Loss: 0.0520	LR: 0.004000
Training Epoch: 7 [20736/46250]	Loss: 0.0693	LR: 0.004000
Training Epoch: 7 [20992/46250]	Loss: 0.0572	LR: 0.004000
Training Epoch: 7 [21248/46250]	Loss: 0.0467	LR: 0.004000
Training Epoch: 7 [21504/46250]	Loss: 0.0399	LR: 0.004000
Training Epoch: 7 [21760/46250]	Loss: 0.0723	LR: 0.004000
Training Epoch: 7 [22016/46250]	Loss: 0.0436	LR: 0.004000
Training Epoch: 7 [22272/46250]	Loss: 0.0677	LR: 0.004000
Training Epoch: 7 [22528/46250]	Loss: 0.0402	LR: 0.004000
Training Epoch: 7 [22784/46250]	Loss: 0.0458	LR: 0.004000
Training Epoch: 7 [23040/46250]	Loss: 0.0596	LR: 0.004000
Training Epoch: 7 [23296/46250]	Loss: 0.0627	LR: 0.004000
Training Epoch: 7 [23552/46250]	Loss: 0.0584	LR: 0.004000
Training Epoch: 7 [23808/46250]	Loss: 0.0658	LR: 0.004000
Training Epoch: 7 [24064/46250]	Loss: 0.0518	LR: 0.004000
Training Epoch: 7 [24320/46250]	Loss: 0.0477	LR: 0.004000
Training Epoch: 7 [24576/46250]	Loss: 0.0866	LR: 0.004000
Training Epoch: 7 [24832/46250]	Loss: 0.0453	LR: 0.004000
Training Epoch: 7 [25088/46250]	Loss: 0.0409	LR: 0.004000
Training Epoch: 7 [25344/46250]	Loss: 0.0460	LR: 0.004000
Training Epoch: 7 [25600/46250]	Loss: 0.0692	LR: 0.004000
Training Epoch: 7 [25856/46250]	Loss: 0.0565	LR: 0.004000
Training Epoch: 7 [26112/46250]	Loss: 0.0515	LR: 0.004000
Training Epoch: 7 [26368/46250]	Loss: 0.0603	LR: 0.004000
Training Epoch: 7 [26624/46250]	Loss: 0.0947	LR: 0.004000
Training Epoch: 7 [26880/46250]	Loss: 0.0438	LR: 0.004000
Training Epoch: 7 [27136/46250]	Loss: 0.0627	LR: 0.004000
Training Epoch: 7 [27392/46250]	Loss: 0.0535	LR: 0.004000
Training Epoch: 7 [27648/46250]	Loss: 0.0544	LR: 0.004000
Training Epoch: 7 [27904/46250]	Loss: 0.0423	LR: 0.004000
Training Epoch: 7 [28160/46250]	Loss: 0.0716	LR: 0.004000
Training Epoch: 7 [28416/46250]	Loss: 0.0445	LR: 0.004000
Training Epoch: 7 [28672/46250]	Loss: 0.0707	LR: 0.004000
Training Epoch: 7 [28928/46250]	Loss: 0.0495	LR: 0.004000
Training Epoch: 7 [29184/46250]	Loss: 0.0700	LR: 0.004000
Training Epoch: 7 [29440/46250]	Loss: 0.0488	LR: 0.004000
Training Epoch: 7 [29696/46250]	Loss: 0.0832	LR: 0.004000
Training Epoch: 7 [29952/46250]	Loss: 0.0735	LR: 0.004000
Training Epoch: 7 [30208/46250]	Loss: 0.0628	LR: 0.004000
Training Epoch: 7 [30464/46250]	Loss: 0.0569	LR: 0.004000
Training Epoch: 7 [30720/46250]	Loss: 0.0682	LR: 0.004000
Training Epoch: 7 [30976/46250]	Loss: 0.0757	LR: 0.004000
Training Epoch: 7 [31232/46250]	Loss: 0.0444	LR: 0.004000
Training Epoch: 7 [31488/46250]	Loss: 0.0582	LR: 0.004000
Training Epoch: 7 [31744/46250]	Loss: 0.0679	LR: 0.004000
Training Epoch: 7 [32000/46250]	Loss: 0.0636	LR: 0.004000
Training Epoch: 7 [32256/46250]	Loss: 0.0402	LR: 0.004000
Training Epoch: 7 [32512/46250]	Loss: 0.0374	LR: 0.004000
Training Epoch: 7 [32768/46250]	Loss: 0.0688	LR: 0.004000
Training Epoch: 7 [33024/46250]	Loss: 0.0678	LR: 0.004000
Training Epoch: 7 [33280/46250]	Loss: 0.0495	LR: 0.004000
Training Epoch: 7 [33536/46250]	Loss: 0.0390	LR: 0.004000
Training Epoch: 7 [33792/46250]	Loss: 0.0612	LR: 0.004000
Training Epoch: 7 [34048/46250]	Loss: 0.0566	LR: 0.004000
Training Epoch: 7 [34304/46250]	Loss: 0.0348	LR: 0.004000
Training Epoch: 7 [34560/46250]	Loss: 0.0763	LR: 0.004000
Training Epoch: 7 [34816/46250]	Loss: 0.0605	LR: 0.004000
Training Epoch: 7 [35072/46250]	Loss: 0.0728	LR: 0.004000
Training Epoch: 7 [35328/46250]	Loss: 0.0587	LR: 0.004000
Training Epoch: 7 [35584/46250]	Loss: 0.0685	LR: 0.004000
Training Epoch: 7 [35840/46250]	Loss: 0.0469	LR: 0.004000
Training Epoch: 7 [36096/46250]	Loss: 0.0509	LR: 0.004000
Training Epoch: 7 [36352/46250]	Loss: 0.0508	LR: 0.004000
Training Epoch: 7 [36608/46250]	Loss: 0.0904	LR: 0.004000
Training Epoch: 7 [36864/46250]	Loss: 0.0448	LR: 0.004000
Training Epoch: 7 [37120/46250]	Loss: 0.0504	LR: 0.004000
Training Epoch: 7 [37376/46250]	Loss: 0.0589	LR: 0.004000
Training Epoch: 7 [37632/46250]	Loss: 0.0596	LR: 0.004000
Training Epoch: 7 [37888/46250]	Loss: 0.0547	LR: 0.004000
Training Epoch: 7 [38144/46250]	Loss: 0.0684	LR: 0.004000
Training Epoch: 7 [38400/46250]	Loss: 0.0375	LR: 0.004000
Training Epoch: 7 [38656/46250]	Loss: 0.0420	LR: 0.004000
Training Epoch: 7 [38912/46250]	Loss: 0.0706	LR: 0.004000
Training Epoch: 7 [39168/46250]	Loss: 0.0617	LR: 0.004000
Training Epoch: 7 [39424/46250]	Loss: 0.0703	LR: 0.004000
Training Epoch: 7 [39680/46250]	Loss: 0.0525	LR: 0.004000
Training Epoch: 7 [39936/46250]	Loss: 0.0507	LR: 0.004000
Training Epoch: 7 [40192/46250]	Loss: 0.0724	LR: 0.004000
Training Epoch: 7 [40448/46250]	Loss: 0.0644	LR: 0.004000
Training Epoch: 7 [40704/46250]	Loss: 0.0774	LR: 0.004000
Training Epoch: 7 [40960/46250]	Loss: 0.0507	LR: 0.004000
Training Epoch: 7 [41216/46250]	Loss: 0.0652	LR: 0.004000
Training Epoch: 7 [41472/46250]	Loss: 0.0556	LR: 0.004000
Training Epoch: 7 [41728/46250]	Loss: 0.0710	LR: 0.004000
Training Epoch: 7 [41984/46250]	Loss: 0.0790	LR: 0.004000
Training Epoch: 7 [42240/46250]	Loss: 0.0657	LR: 0.004000
Training Epoch: 7 [42496/46250]	Loss: 0.0348	LR: 0.004000
Training Epoch: 7 [42752/46250]	Loss: 0.0469	LR: 0.004000
Training Epoch: 7 [43008/46250]	Loss: 0.0628	LR: 0.004000
Training Epoch: 7 [43264/46250]	Loss: 0.0586	LR: 0.004000
Training Epoch: 7 [43520/46250]	Loss: 0.0710	LR: 0.004000
Training Epoch: 7 [43776/46250]	Loss: 0.0806	LR: 0.004000
Training Epoch: 7 [44032/46250]	Loss: 0.0556	LR: 0.004000
Training Epoch: 7 [44288/46250]	Loss: 0.0643	LR: 0.004000
Training Epoch: 7 [44544/46250]	Loss: 0.0802	LR: 0.004000
Training Epoch: 7 [44800/46250]	Loss: 0.0899	LR: 0.004000
Training Epoch: 7 [45056/46250]	Loss: 0.0631	LR: 0.004000
Training Epoch: 7 [45312/46250]	Loss: 0.0508	LR: 0.004000
Training Epoch: 7 [45568/46250]	Loss: 0.0780	LR: 0.004000
Training Epoch: 7 [45824/46250]	Loss: 0.0725	LR: 0.004000
Training Epoch: 7 [46080/46250]	Loss: 0.0693	LR: 0.004000
Training Epoch: 7 [46250/46250]	Loss: 0.0425	LR: 0.004000
Epoch 7 - Average Train Loss: 0.0597, Train Accuracy: 0.9881
Epoch 7 training time consumed: 18.28s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0025, Accuracy: 0.8212, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_12h_16m_15s/ResNet18-Cifar10-seed5-ret25-7-best.pth
Training Epoch: 8 [256/46250]	Loss: 0.0201	LR: 0.004000
Training Epoch: 8 [512/46250]	Loss: 0.0331	LR: 0.004000
Training Epoch: 8 [768/46250]	Loss: 0.0315	LR: 0.004000
Training Epoch: 8 [1024/46250]	Loss: 0.0268	LR: 0.004000
Training Epoch: 8 [1280/46250]	Loss: 0.0263	LR: 0.004000
Training Epoch: 8 [1536/46250]	Loss: 0.0241	LR: 0.004000
Training Epoch: 8 [1792/46250]	Loss: 0.0248	LR: 0.004000
Training Epoch: 8 [2048/46250]	Loss: 0.0298	LR: 0.004000
Training Epoch: 8 [2304/46250]	Loss: 0.0520	LR: 0.004000
Training Epoch: 8 [2560/46250]	Loss: 0.0243	LR: 0.004000
Training Epoch: 8 [2816/46250]	Loss: 0.0339	LR: 0.004000
Training Epoch: 8 [3072/46250]	Loss: 0.0316	LR: 0.004000
Training Epoch: 8 [3328/46250]	Loss: 0.0300	LR: 0.004000
Training Epoch: 8 [3584/46250]	Loss: 0.0417	LR: 0.004000
Training Epoch: 8 [3840/46250]	Loss: 0.0219	LR: 0.004000
Training Epoch: 8 [4096/46250]	Loss: 0.0316	LR: 0.004000
Training Epoch: 8 [4352/46250]	Loss: 0.0369	LR: 0.004000
Training Epoch: 8 [4608/46250]	Loss: 0.0413	LR: 0.004000
Training Epoch: 8 [4864/46250]	Loss: 0.0306	LR: 0.004000
Training Epoch: 8 [5120/46250]	Loss: 0.0227	LR: 0.004000
Training Epoch: 8 [5376/46250]	Loss: 0.0293	LR: 0.004000
Training Epoch: 8 [5632/46250]	Loss: 0.0174	LR: 0.004000
Training Epoch: 8 [5888/46250]	Loss: 0.0291	LR: 0.004000
Training Epoch: 8 [6144/46250]	Loss: 0.0284	LR: 0.004000
Training Epoch: 8 [6400/46250]	Loss: 0.0297	LR: 0.004000
Training Epoch: 8 [6656/46250]	Loss: 0.0343	LR: 0.004000
Training Epoch: 8 [6912/46250]	Loss: 0.0188	LR: 0.004000
Training Epoch: 8 [7168/46250]	Loss: 0.0363	LR: 0.004000
Training Epoch: 8 [7424/46250]	Loss: 0.0383	LR: 0.004000
Training Epoch: 8 [7680/46250]	Loss: 0.0298	LR: 0.004000
Training Epoch: 8 [7936/46250]	Loss: 0.0341	LR: 0.004000
Training Epoch: 8 [8192/46250]	Loss: 0.0182	LR: 0.004000
Training Epoch: 8 [8448/46250]	Loss: 0.0268	LR: 0.004000
Training Epoch: 8 [8704/46250]	Loss: 0.0415	LR: 0.004000
Training Epoch: 8 [8960/46250]	Loss: 0.0407	LR: 0.004000
Training Epoch: 8 [9216/46250]	Loss: 0.0225	LR: 0.004000
Training Epoch: 8 [9472/46250]	Loss: 0.0298	LR: 0.004000
Training Epoch: 8 [9728/46250]	Loss: 0.0499	LR: 0.004000
Training Epoch: 8 [9984/46250]	Loss: 0.0311	LR: 0.004000
Training Epoch: 8 [10240/46250]	Loss: 0.0264	LR: 0.004000
Training Epoch: 8 [10496/46250]	Loss: 0.0187	LR: 0.004000
Training Epoch: 8 [10752/46250]	Loss: 0.0269	LR: 0.004000
Training Epoch: 8 [11008/46250]	Loss: 0.0285	LR: 0.004000
Training Epoch: 8 [11264/46250]	Loss: 0.0294	LR: 0.004000
Training Epoch: 8 [11520/46250]	Loss: 0.0305	LR: 0.004000
Training Epoch: 8 [11776/46250]	Loss: 0.0165	LR: 0.004000
Training Epoch: 8 [12032/46250]	Loss: 0.0344	LR: 0.004000
Training Epoch: 8 [12288/46250]	Loss: 0.0163	LR: 0.004000
Training Epoch: 8 [12544/46250]	Loss: 0.0255	LR: 0.004000
Training Epoch: 8 [12800/46250]	Loss: 0.0213	LR: 0.004000
Training Epoch: 8 [13056/46250]	Loss: 0.0241	LR: 0.004000
Training Epoch: 8 [13312/46250]	Loss: 0.0330	LR: 0.004000
Training Epoch: 8 [13568/46250]	Loss: 0.0213	LR: 0.004000
Training Epoch: 8 [13824/46250]	Loss: 0.0227	LR: 0.004000
Training Epoch: 8 [14080/46250]	Loss: 0.0285	LR: 0.004000
Training Epoch: 8 [14336/46250]	Loss: 0.0272	LR: 0.004000
Training Epoch: 8 [14592/46250]	Loss: 0.0197	LR: 0.004000
Training Epoch: 8 [14848/46250]	Loss: 0.0463	LR: 0.004000
Training Epoch: 8 [15104/46250]	Loss: 0.0314	LR: 0.004000
Training Epoch: 8 [15360/46250]	Loss: 0.0298	LR: 0.004000
Training Epoch: 8 [15616/46250]	Loss: 0.0274	LR: 0.004000
Training Epoch: 8 [15872/46250]	Loss: 0.0259	LR: 0.004000
Training Epoch: 8 [16128/46250]	Loss: 0.0243	LR: 0.004000
Training Epoch: 8 [16384/46250]	Loss: 0.0243	LR: 0.004000
Training Epoch: 8 [16640/46250]	Loss: 0.0273	LR: 0.004000
Training Epoch: 8 [16896/46250]	Loss: 0.0210	LR: 0.004000
Training Epoch: 8 [17152/46250]	Loss: 0.0195	LR: 0.004000
Training Epoch: 8 [17408/46250]	Loss: 0.0364	LR: 0.004000
Training Epoch: 8 [17664/46250]	Loss: 0.0217	LR: 0.004000
Training Epoch: 8 [17920/46250]	Loss: 0.0232	LR: 0.004000
Training Epoch: 8 [18176/46250]	Loss: 0.0385	LR: 0.004000
Training Epoch: 8 [18432/46250]	Loss: 0.0227	LR: 0.004000
Training Epoch: 8 [18688/46250]	Loss: 0.0246	LR: 0.004000
Training Epoch: 8 [18944/46250]	Loss: 0.0226	LR: 0.004000
Training Epoch: 8 [19200/46250]	Loss: 0.0245	LR: 0.004000
Training Epoch: 8 [19456/46250]	Loss: 0.0256	LR: 0.004000
Training Epoch: 8 [19712/46250]	Loss: 0.0228	LR: 0.004000
Training Epoch: 8 [19968/46250]	Loss: 0.0269	LR: 0.004000
Training Epoch: 8 [20224/46250]	Loss: 0.0297	LR: 0.004000
Training Epoch: 8 [20480/46250]	Loss: 0.0326	LR: 0.004000
Training Epoch: 8 [20736/46250]	Loss: 0.0225	LR: 0.004000
Training Epoch: 8 [20992/46250]	Loss: 0.0190	LR: 0.004000
Training Epoch: 8 [21248/46250]	Loss: 0.0230	LR: 0.004000
Training Epoch: 8 [21504/46250]	Loss: 0.0259	LR: 0.004000
Training Epoch: 8 [21760/46250]	Loss: 0.0231	LR: 0.004000
Training Epoch: 8 [22016/46250]	Loss: 0.0308	LR: 0.004000
Training Epoch: 8 [22272/46250]	Loss: 0.0255	LR: 0.004000
Training Epoch: 8 [22528/46250]	Loss: 0.0299	LR: 0.004000
Training Epoch: 8 [22784/46250]	Loss: 0.0302	LR: 0.004000
Training Epoch: 8 [23040/46250]	Loss: 0.0243	LR: 0.004000
Training Epoch: 8 [23296/46250]	Loss: 0.0294	LR: 0.004000
Training Epoch: 8 [23552/46250]	Loss: 0.0204	LR: 0.004000
Training Epoch: 8 [23808/46250]	Loss: 0.0300	LR: 0.004000
Training Epoch: 8 [24064/46250]	Loss: 0.0313	LR: 0.004000
Training Epoch: 8 [24320/46250]	Loss: 0.0211	LR: 0.004000
Training Epoch: 8 [24576/46250]	Loss: 0.0379	LR: 0.004000
Training Epoch: 8 [24832/46250]	Loss: 0.0257	LR: 0.004000
Training Epoch: 8 [25088/46250]	Loss: 0.0200	LR: 0.004000
Training Epoch: 8 [25344/46250]	Loss: 0.0278	LR: 0.004000
Training Epoch: 8 [25600/46250]	Loss: 0.0194	LR: 0.004000
Training Epoch: 8 [25856/46250]	Loss: 0.0190	LR: 0.004000
Training Epoch: 8 [26112/46250]	Loss: 0.0219	LR: 0.004000
Training Epoch: 8 [26368/46250]	Loss: 0.0247	LR: 0.004000
Training Epoch: 8 [26624/46250]	Loss: 0.0272	LR: 0.004000
Training Epoch: 8 [26880/46250]	Loss: 0.0240	LR: 0.004000
Training Epoch: 8 [27136/46250]	Loss: 0.0239	LR: 0.004000
Training Epoch: 8 [27392/46250]	Loss: 0.0189	LR: 0.004000
Training Epoch: 8 [27648/46250]	Loss: 0.0235	LR: 0.004000
Training Epoch: 8 [27904/46250]	Loss: 0.0267	LR: 0.004000
Training Epoch: 8 [28160/46250]	Loss: 0.0421	LR: 0.004000
Training Epoch: 8 [28416/46250]	Loss: 0.0163	LR: 0.004000
Training Epoch: 8 [28672/46250]	Loss: 0.0331	LR: 0.004000
Training Epoch: 8 [28928/46250]	Loss: 0.0278	LR: 0.004000
Training Epoch: 8 [29184/46250]	Loss: 0.0394	LR: 0.004000
Training Epoch: 8 [29440/46250]	Loss: 0.0232	LR: 0.004000
Training Epoch: 8 [29696/46250]	Loss: 0.0467	LR: 0.004000
Training Epoch: 8 [29952/46250]	Loss: 0.0237	LR: 0.004000
Training Epoch: 8 [30208/46250]	Loss: 0.0378	LR: 0.004000
Training Epoch: 8 [30464/46250]	Loss: 0.0244	LR: 0.004000
Training Epoch: 8 [30720/46250]	Loss: 0.0214	LR: 0.004000
Training Epoch: 8 [30976/46250]	Loss: 0.0311	LR: 0.004000
Training Epoch: 8 [31232/46250]	Loss: 0.0309	LR: 0.004000
Training Epoch: 8 [31488/46250]	Loss: 0.0258	LR: 0.004000
Training Epoch: 8 [31744/46250]	Loss: 0.0517	LR: 0.004000
Training Epoch: 8 [32000/46250]	Loss: 0.0408	LR: 0.004000
Training Epoch: 8 [32256/46250]	Loss: 0.0337	LR: 0.004000
Training Epoch: 8 [32512/46250]	Loss: 0.0333	LR: 0.004000
Training Epoch: 8 [32768/46250]	Loss: 0.0337	LR: 0.004000
Training Epoch: 8 [33024/46250]	Loss: 0.0220	LR: 0.004000
Training Epoch: 8 [33280/46250]	Loss: 0.0290	LR: 0.004000
Training Epoch: 8 [33536/46250]	Loss: 0.0252	LR: 0.004000
Training Epoch: 8 [33792/46250]	Loss: 0.0262	LR: 0.004000
Training Epoch: 8 [34048/46250]	Loss: 0.0260	LR: 0.004000
Training Epoch: 8 [34304/46250]	Loss: 0.0176	LR: 0.004000
Training Epoch: 8 [34560/46250]	Loss: 0.0333	LR: 0.004000
Training Epoch: 8 [34816/46250]	Loss: 0.0278	LR: 0.004000
Training Epoch: 8 [35072/46250]	Loss: 0.0315	LR: 0.004000
Training Epoch: 8 [35328/46250]	Loss: 0.0363	LR: 0.004000
Training Epoch: 8 [35584/46250]	Loss: 0.0238	LR: 0.004000
Training Epoch: 8 [35840/46250]	Loss: 0.0250	LR: 0.004000
Training Epoch: 8 [36096/46250]	Loss: 0.0287	LR: 0.004000
Training Epoch: 8 [36352/46250]	Loss: 0.0180	LR: 0.004000
Training Epoch: 8 [36608/46250]	Loss: 0.0220	LR: 0.004000
Training Epoch: 8 [36864/46250]	Loss: 0.0287	LR: 0.004000
Training Epoch: 8 [37120/46250]	Loss: 0.0280	LR: 0.004000
Training Epoch: 8 [37376/46250]	Loss: 0.0279	LR: 0.004000
Training Epoch: 8 [37632/46250]	Loss: 0.0295	LR: 0.004000
Training Epoch: 8 [37888/46250]	Loss: 0.0213	LR: 0.004000
Training Epoch: 8 [38144/46250]	Loss: 0.0243	LR: 0.004000
Training Epoch: 8 [38400/46250]	Loss: 0.0299	LR: 0.004000
Training Epoch: 8 [38656/46250]	Loss: 0.0219	LR: 0.004000
Training Epoch: 8 [38912/46250]	Loss: 0.0324	LR: 0.004000
Training Epoch: 8 [39168/46250]	Loss: 0.0211	LR: 0.004000
Training Epoch: 8 [39424/46250]	Loss: 0.0292	LR: 0.004000
Training Epoch: 8 [39680/46250]	Loss: 0.0240	LR: 0.004000
Training Epoch: 8 [39936/46250]	Loss: 0.0228	LR: 0.004000
Training Epoch: 8 [40192/46250]	Loss: 0.0194	LR: 0.004000
Training Epoch: 8 [40448/46250]	Loss: 0.0343	LR: 0.004000
Training Epoch: 8 [40704/46250]	Loss: 0.0236	LR: 0.004000
Training Epoch: 8 [40960/46250]	Loss: 0.0155	LR: 0.004000
Training Epoch: 8 [41216/46250]	Loss: 0.0234	LR: 0.004000
Training Epoch: 8 [41472/46250]	Loss: 0.0187	LR: 0.004000
Training Epoch: 8 [41728/46250]	Loss: 0.0261	LR: 0.004000
Training Epoch: 8 [41984/46250]	Loss: 0.0258	LR: 0.004000
Training Epoch: 8 [42240/46250]	Loss: 0.0203	LR: 0.004000
Training Epoch: 8 [42496/46250]	Loss: 0.0193	LR: 0.004000
Training Epoch: 8 [42752/46250]	Loss: 0.0237	LR: 0.004000
Training Epoch: 8 [43008/46250]	Loss: 0.0321	LR: 0.004000
Training Epoch: 8 [43264/46250]	Loss: 0.0355	LR: 0.004000
Training Epoch: 8 [43520/46250]	Loss: 0.0266	LR: 0.004000
Training Epoch: 8 [43776/46250]	Loss: 0.0227	LR: 0.004000
Training Epoch: 8 [44032/46250]	Loss: 0.0382	LR: 0.004000
Training Epoch: 8 [44288/46250]	Loss: 0.0286	LR: 0.004000
Training Epoch: 8 [44544/46250]	Loss: 0.0271	LR: 0.004000
Training Epoch: 8 [44800/46250]	Loss: 0.0179	LR: 0.004000
Training Epoch: 8 [45056/46250]	Loss: 0.0186	LR: 0.004000
Training Epoch: 8 [45312/46250]	Loss: 0.0230	LR: 0.004000
Training Epoch: 8 [45568/46250]	Loss: 0.0150	LR: 0.004000
Training Epoch: 8 [45824/46250]	Loss: 0.0230	LR: 0.004000
Training Epoch: 8 [46080/46250]	Loss: 0.0482	LR: 0.004000
Training Epoch: 8 [46250/46250]	Loss: 0.0293	LR: 0.004000
Epoch 8 - Average Train Loss: 0.0276, Train Accuracy: 0.9974
Epoch 8 training time consumed: 18.15s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0026, Accuracy: 0.8263, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_12h_16m_15s/ResNet18-Cifar10-seed5-ret25-8-best.pth
Training Epoch: 9 [256/46250]	Loss: 0.0140	LR: 0.000800
Training Epoch: 9 [512/46250]	Loss: 0.0131	LR: 0.000800
Training Epoch: 9 [768/46250]	Loss: 0.0102	LR: 0.000800
Training Epoch: 9 [1024/46250]	Loss: 0.0139	LR: 0.000800
Training Epoch: 9 [1280/46250]	Loss: 0.0109	LR: 0.000800
Training Epoch: 9 [1536/46250]	Loss: 0.0133	LR: 0.000800
Training Epoch: 9 [1792/46250]	Loss: 0.0163	LR: 0.000800
Training Epoch: 9 [2048/46250]	Loss: 0.0129	LR: 0.000800
Training Epoch: 9 [2304/46250]	Loss: 0.0127	LR: 0.000800
Training Epoch: 9 [2560/46250]	Loss: 0.0097	LR: 0.000800
Training Epoch: 9 [2816/46250]	Loss: 0.0176	LR: 0.000800
Training Epoch: 9 [3072/46250]	Loss: 0.0152	LR: 0.000800
Training Epoch: 9 [3328/46250]	Loss: 0.0161	LR: 0.000800
Training Epoch: 9 [3584/46250]	Loss: 0.0194	LR: 0.000800
Training Epoch: 9 [3840/46250]	Loss: 0.0124	LR: 0.000800
Training Epoch: 9 [4096/46250]	Loss: 0.0141	LR: 0.000800
Training Epoch: 9 [4352/46250]	Loss: 0.0119	LR: 0.000800
Training Epoch: 9 [4608/46250]	Loss: 0.0138	LR: 0.000800
Training Epoch: 9 [4864/46250]	Loss: 0.0136	LR: 0.000800
Training Epoch: 9 [5120/46250]	Loss: 0.0134	LR: 0.000800
Training Epoch: 9 [5376/46250]	Loss: 0.0127	LR: 0.000800
Training Epoch: 9 [5632/46250]	Loss: 0.0107	LR: 0.000800
Training Epoch: 9 [5888/46250]	Loss: 0.0136	LR: 0.000800
Training Epoch: 9 [6144/46250]	Loss: 0.0128	LR: 0.000800
Training Epoch: 9 [6400/46250]	Loss: 0.0111	LR: 0.000800
Training Epoch: 9 [6656/46250]	Loss: 0.0095	LR: 0.000800
Training Epoch: 9 [6912/46250]	Loss: 0.0128	LR: 0.000800
Training Epoch: 9 [7168/46250]	Loss: 0.0144	LR: 0.000800
Training Epoch: 9 [7424/46250]	Loss: 0.0155	LR: 0.000800
Training Epoch: 9 [7680/46250]	Loss: 0.0120	LR: 0.000800
Training Epoch: 9 [7936/46250]	Loss: 0.0172	LR: 0.000800
Training Epoch: 9 [8192/46250]	Loss: 0.0120	LR: 0.000800
Training Epoch: 9 [8448/46250]	Loss: 0.0125	LR: 0.000800
Training Epoch: 9 [8704/46250]	Loss: 0.0110	LR: 0.000800
Training Epoch: 9 [8960/46250]	Loss: 0.0104	LR: 0.000800
Training Epoch: 9 [9216/46250]	Loss: 0.0195	LR: 0.000800
Training Epoch: 9 [9472/46250]	Loss: 0.0150	LR: 0.000800
Training Epoch: 9 [9728/46250]	Loss: 0.0116	LR: 0.000800
Training Epoch: 9 [9984/46250]	Loss: 0.0124	LR: 0.000800
Training Epoch: 9 [10240/46250]	Loss: 0.0116	LR: 0.000800
Training Epoch: 9 [10496/46250]	Loss: 0.0135	LR: 0.000800
Training Epoch: 9 [10752/46250]	Loss: 0.0149	LR: 0.000800
Training Epoch: 9 [11008/46250]	Loss: 0.0121	LR: 0.000800
Training Epoch: 9 [11264/46250]	Loss: 0.0127	LR: 0.000800
Training Epoch: 9 [11520/46250]	Loss: 0.0102	LR: 0.000800
Training Epoch: 9 [11776/46250]	Loss: 0.0174	LR: 0.000800
Training Epoch: 9 [12032/46250]	Loss: 0.0126	LR: 0.000800
Training Epoch: 9 [12288/46250]	Loss: 0.0127	LR: 0.000800
Training Epoch: 9 [12544/46250]	Loss: 0.0100	LR: 0.000800
Training Epoch: 9 [12800/46250]	Loss: 0.0149	LR: 0.000800
Training Epoch: 9 [13056/46250]	Loss: 0.0155	LR: 0.000800
Training Epoch: 9 [13312/46250]	Loss: 0.0134	LR: 0.000800
Training Epoch: 9 [13568/46250]	Loss: 0.0144	LR: 0.000800
Training Epoch: 9 [13824/46250]	Loss: 0.0126	LR: 0.000800
Training Epoch: 9 [14080/46250]	Loss: 0.0113	LR: 0.000800
Training Epoch: 9 [14336/46250]	Loss: 0.0120	LR: 0.000800
Training Epoch: 9 [14592/46250]	Loss: 0.0109	LR: 0.000800
Training Epoch: 9 [14848/46250]	Loss: 0.0121	LR: 0.000800
Training Epoch: 9 [15104/46250]	Loss: 0.0144	LR: 0.000800
Training Epoch: 9 [15360/46250]	Loss: 0.0127	LR: 0.000800
Training Epoch: 9 [15616/46250]	Loss: 0.0095	LR: 0.000800
Training Epoch: 9 [15872/46250]	Loss: 0.0114	LR: 0.000800
Training Epoch: 9 [16128/46250]	Loss: 0.0095	LR: 0.000800
Training Epoch: 9 [16384/46250]	Loss: 0.0133	LR: 0.000800
Training Epoch: 9 [16640/46250]	Loss: 0.0161	LR: 0.000800
Training Epoch: 9 [16896/46250]	Loss: 0.0166	LR: 0.000800
Training Epoch: 9 [17152/46250]	Loss: 0.0204	LR: 0.000800
Training Epoch: 9 [17408/46250]	Loss: 0.0120	LR: 0.000800
Training Epoch: 9 [17664/46250]	Loss: 0.0087	LR: 0.000800
Training Epoch: 9 [17920/46250]	Loss: 0.0134	LR: 0.000800
Training Epoch: 9 [18176/46250]	Loss: 0.0110	LR: 0.000800
Training Epoch: 9 [18432/46250]	Loss: 0.0154	LR: 0.000800
Training Epoch: 9 [18688/46250]	Loss: 0.0122	LR: 0.000800
Training Epoch: 9 [18944/46250]	Loss: 0.0124	LR: 0.000800
Training Epoch: 9 [19200/46250]	Loss: 0.0114	LR: 0.000800
Training Epoch: 9 [19456/46250]	Loss: 0.0107	LR: 0.000800
Training Epoch: 9 [19712/46250]	Loss: 0.0094	LR: 0.000800
Training Epoch: 9 [19968/46250]	Loss: 0.0111	LR: 0.000800
Training Epoch: 9 [20224/46250]	Loss: 0.0099	LR: 0.000800
Training Epoch: 9 [20480/46250]	Loss: 0.0101	LR: 0.000800
Training Epoch: 9 [20736/46250]	Loss: 0.0136	LR: 0.000800
Training Epoch: 9 [20992/46250]	Loss: 0.0125	LR: 0.000800
Training Epoch: 9 [21248/46250]	Loss: 0.0080	LR: 0.000800
Training Epoch: 9 [21504/46250]	Loss: 0.0113	LR: 0.000800
Training Epoch: 9 [21760/46250]	Loss: 0.0100	LR: 0.000800
Training Epoch: 9 [22016/46250]	Loss: 0.0191	LR: 0.000800
Training Epoch: 9 [22272/46250]	Loss: 0.0076	LR: 0.000800
Training Epoch: 9 [22528/46250]	Loss: 0.0114	LR: 0.000800
Training Epoch: 9 [22784/46250]	Loss: 0.0137	LR: 0.000800
Training Epoch: 9 [23040/46250]	Loss: 0.0097	LR: 0.000800
Training Epoch: 9 [23296/46250]	Loss: 0.0091	LR: 0.000800
Training Epoch: 9 [23552/46250]	Loss: 0.0126	LR: 0.000800
Training Epoch: 9 [23808/46250]	Loss: 0.0157	LR: 0.000800
Training Epoch: 9 [24064/46250]	Loss: 0.0107	LR: 0.000800
Training Epoch: 9 [24320/46250]	Loss: 0.0094	LR: 0.000800
Training Epoch: 9 [24576/46250]	Loss: 0.0081	LR: 0.000800
Training Epoch: 9 [24832/46250]	Loss: 0.0131	LR: 0.000800
Training Epoch: 9 [25088/46250]	Loss: 0.0093	LR: 0.000800
Training Epoch: 9 [25344/46250]	Loss: 0.0094	LR: 0.000800
Training Epoch: 9 [25600/46250]	Loss: 0.0105	LR: 0.000800
Training Epoch: 9 [25856/46250]	Loss: 0.0089	LR: 0.000800
Training Epoch: 9 [26112/46250]	Loss: 0.0087	LR: 0.000800
Training Epoch: 9 [26368/46250]	Loss: 0.0114	LR: 0.000800
Training Epoch: 9 [26624/46250]	Loss: 0.0096	LR: 0.000800
Training Epoch: 9 [26880/46250]	Loss: 0.0137	LR: 0.000800
Training Epoch: 9 [27136/46250]	Loss: 0.0116	LR: 0.000800
Training Epoch: 9 [27392/46250]	Loss: 0.0105	LR: 0.000800
Training Epoch: 9 [27648/46250]	Loss: 0.0096	LR: 0.000800
Training Epoch: 9 [27904/46250]	Loss: 0.0093	LR: 0.000800
Training Epoch: 9 [28160/46250]	Loss: 0.0085	LR: 0.000800
Training Epoch: 9 [28416/46250]	Loss: 0.0112	LR: 0.000800
Training Epoch: 9 [28672/46250]	Loss: 0.0126	LR: 0.000800
Training Epoch: 9 [28928/46250]	Loss: 0.0101	LR: 0.000800
Training Epoch: 9 [29184/46250]	Loss: 0.0128	LR: 0.000800
Training Epoch: 9 [29440/46250]	Loss: 0.0088	LR: 0.000800
Training Epoch: 9 [29696/46250]	Loss: 0.0105	LR: 0.000800
Training Epoch: 9 [29952/46250]	Loss: 0.0266	LR: 0.000800
Training Epoch: 9 [30208/46250]	Loss: 0.0161	LR: 0.000800
Training Epoch: 9 [30464/46250]	Loss: 0.0122	LR: 0.000800
Training Epoch: 9 [30720/46250]	Loss: 0.0200	LR: 0.000800
Training Epoch: 9 [30976/46250]	Loss: 0.0136	LR: 0.000800
Training Epoch: 9 [31232/46250]	Loss: 0.0161	LR: 0.000800
Training Epoch: 9 [31488/46250]	Loss: 0.0095	LR: 0.000800
Training Epoch: 9 [31744/46250]	Loss: 0.0095	LR: 0.000800
Training Epoch: 9 [32000/46250]	Loss: 0.0139	LR: 0.000800
Training Epoch: 9 [32256/46250]	Loss: 0.0135	LR: 0.000800
Training Epoch: 9 [32512/46250]	Loss: 0.0138	LR: 0.000800
Training Epoch: 9 [32768/46250]	Loss: 0.0111	LR: 0.000800
Training Epoch: 9 [33024/46250]	Loss: 0.0131	LR: 0.000800
Training Epoch: 9 [33280/46250]	Loss: 0.0200	LR: 0.000800
Training Epoch: 9 [33536/46250]	Loss: 0.0118	LR: 0.000800
Training Epoch: 9 [33792/46250]	Loss: 0.0100	LR: 0.000800
Training Epoch: 9 [34048/46250]	Loss: 0.0113	LR: 0.000800
Training Epoch: 9 [34304/46250]	Loss: 0.0130	LR: 0.000800
Training Epoch: 9 [34560/46250]	Loss: 0.0097	LR: 0.000800
Training Epoch: 9 [34816/46250]	Loss: 0.0131	LR: 0.000800
Training Epoch: 9 [35072/46250]	Loss: 0.0117	LR: 0.000800
Training Epoch: 9 [35328/46250]	Loss: 0.0120	LR: 0.000800
Training Epoch: 9 [35584/46250]	Loss: 0.0147	LR: 0.000800
Training Epoch: 9 [35840/46250]	Loss: 0.0112	LR: 0.000800
Training Epoch: 9 [36096/46250]	Loss: 0.0135	LR: 0.000800
Training Epoch: 9 [36352/46250]	Loss: 0.0132	LR: 0.000800
Training Epoch: 9 [36608/46250]	Loss: 0.0101	LR: 0.000800
Training Epoch: 9 [36864/46250]	Loss: 0.0104	LR: 0.000800
Training Epoch: 9 [37120/46250]	Loss: 0.0091	LR: 0.000800
Training Epoch: 9 [37376/46250]	Loss: 0.0116	LR: 0.000800
Training Epoch: 9 [37632/46250]	Loss: 0.0093	LR: 0.000800
Training Epoch: 9 [37888/46250]	Loss: 0.0095	LR: 0.000800
Training Epoch: 9 [38144/46250]	Loss: 0.0121	LR: 0.000800
Training Epoch: 9 [38400/46250]	Loss: 0.0093	LR: 0.000800
Training Epoch: 9 [38656/46250]	Loss: 0.0108	LR: 0.000800
Training Epoch: 9 [38912/46250]	Loss: 0.0125	LR: 0.000800
Training Epoch: 9 [39168/46250]	Loss: 0.0098	LR: 0.000800
Training Epoch: 9 [39424/46250]	Loss: 0.0115	LR: 0.000800
Training Epoch: 9 [39680/46250]	Loss: 0.0143	LR: 0.000800
Training Epoch: 9 [39936/46250]	Loss: 0.0130	LR: 0.000800
Training Epoch: 9 [40192/46250]	Loss: 0.0111	LR: 0.000800
Training Epoch: 9 [40448/46250]	Loss: 0.0079	LR: 0.000800
Training Epoch: 9 [40704/46250]	Loss: 0.0105	LR: 0.000800
Training Epoch: 9 [40960/46250]	Loss: 0.0087	LR: 0.000800
Training Epoch: 9 [41216/46250]	Loss: 0.0121	LR: 0.000800
Training Epoch: 9 [41472/46250]	Loss: 0.0105	LR: 0.000800
Training Epoch: 9 [41728/46250]	Loss: 0.0109	LR: 0.000800
Training Epoch: 9 [41984/46250]	Loss: 0.0152	LR: 0.000800
Training Epoch: 9 [42240/46250]	Loss: 0.0088	LR: 0.000800
Training Epoch: 9 [42496/46250]	Loss: 0.0107	LR: 0.000800
Training Epoch: 9 [42752/46250]	Loss: 0.0099	LR: 0.000800
Training Epoch: 9 [43008/46250]	Loss: 0.0104	LR: 0.000800
Training Epoch: 9 [43264/46250]	Loss: 0.0138	LR: 0.000800
Training Epoch: 9 [43520/46250]	Loss: 0.0083	LR: 0.000800
Training Epoch: 9 [43776/46250]	Loss: 0.0122	LR: 0.000800
Training Epoch: 9 [44032/46250]	Loss: 0.0154	LR: 0.000800
Training Epoch: 9 [44288/46250]	Loss: 0.0105	LR: 0.000800
Training Epoch: 9 [44544/46250]	Loss: 0.0164	LR: 0.000800
Training Epoch: 9 [44800/46250]	Loss: 0.0142	LR: 0.000800
Training Epoch: 9 [45056/46250]	Loss: 0.0071	LR: 0.000800
Training Epoch: 9 [45312/46250]	Loss: 0.0129	LR: 0.000800
Training Epoch: 9 [45568/46250]	Loss: 0.0307	LR: 0.000800
Training Epoch: 9 [45824/46250]	Loss: 0.0128	LR: 0.000800
Training Epoch: 9 [46080/46250]	Loss: 0.0098	LR: 0.000800
Training Epoch: 9 [46250/46250]	Loss: 0.0111	LR: 0.000800
Epoch 9 - Average Train Loss: 0.0124, Train Accuracy: 0.9998
Epoch 9 training time consumed: 18.42s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0025, Accuracy: 0.8259, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_12h_16m_15s/ResNet18-Cifar10-seed5-ret25-9-best.pth
Training Epoch: 10 [256/46250]	Loss: 0.0122	LR: 0.000800
Training Epoch: 10 [512/46250]	Loss: 0.0106	LR: 0.000800
Training Epoch: 10 [768/46250]	Loss: 0.0098	LR: 0.000800
Training Epoch: 10 [1024/46250]	Loss: 0.0108	LR: 0.000800
Training Epoch: 10 [1280/46250]	Loss: 0.0131	LR: 0.000800
Training Epoch: 10 [1536/46250]	Loss: 0.0084	LR: 0.000800
Training Epoch: 10 [1792/46250]	Loss: 0.0107	LR: 0.000800
Training Epoch: 10 [2048/46250]	Loss: 0.0101	LR: 0.000800
Training Epoch: 10 [2304/46250]	Loss: 0.0088	LR: 0.000800
Training Epoch: 10 [2560/46250]	Loss: 0.0092	LR: 0.000800
Training Epoch: 10 [2816/46250]	Loss: 0.0098	LR: 0.000800
Training Epoch: 10 [3072/46250]	Loss: 0.0087	LR: 0.000800
Training Epoch: 10 [3328/46250]	Loss: 0.0115	LR: 0.000800
Training Epoch: 10 [3584/46250]	Loss: 0.0091	LR: 0.000800
Training Epoch: 10 [3840/46250]	Loss: 0.0099	LR: 0.000800
Training Epoch: 10 [4096/46250]	Loss: 0.0064	LR: 0.000800
Training Epoch: 10 [4352/46250]	Loss: 0.0084	LR: 0.000800
Training Epoch: 10 [4608/46250]	Loss: 0.0095	LR: 0.000800
Training Epoch: 10 [4864/46250]	Loss: 0.0098	LR: 0.000800
Training Epoch: 10 [5120/46250]	Loss: 0.0092	LR: 0.000800
Training Epoch: 10 [5376/46250]	Loss: 0.0154	LR: 0.000800
Training Epoch: 10 [5632/46250]	Loss: 0.0111	LR: 0.000800
Training Epoch: 10 [5888/46250]	Loss: 0.0114	LR: 0.000800
Training Epoch: 10 [6144/46250]	Loss: 0.0151	LR: 0.000800
Training Epoch: 10 [6400/46250]	Loss: 0.0090	LR: 0.000800
Training Epoch: 10 [6656/46250]	Loss: 0.0105	LR: 0.000800
Training Epoch: 10 [6912/46250]	Loss: 0.0109	LR: 0.000800
Training Epoch: 10 [7168/46250]	Loss: 0.0135	LR: 0.000800
Training Epoch: 10 [7424/46250]	Loss: 0.0122	LR: 0.000800
Training Epoch: 10 [7680/46250]	Loss: 0.0122	LR: 0.000800
Training Epoch: 10 [7936/46250]	Loss: 0.0094	LR: 0.000800
Training Epoch: 10 [8192/46250]	Loss: 0.0083	LR: 0.000800
Training Epoch: 10 [8448/46250]	Loss: 0.0114	LR: 0.000800
Training Epoch: 10 [8704/46250]	Loss: 0.0119	LR: 0.000800
Training Epoch: 10 [8960/46250]	Loss: 0.0127	LR: 0.000800
Training Epoch: 10 [9216/46250]	Loss: 0.0135	LR: 0.000800
Training Epoch: 10 [9472/46250]	Loss: 0.0082	LR: 0.000800
Training Epoch: 10 [9728/46250]	Loss: 0.0138	LR: 0.000800
Training Epoch: 10 [9984/46250]	Loss: 0.0093	LR: 0.000800
Training Epoch: 10 [10240/46250]	Loss: 0.0110	LR: 0.000800
Training Epoch: 10 [10496/46250]	Loss: 0.0224	LR: 0.000800
Training Epoch: 10 [10752/46250]	Loss: 0.0079	LR: 0.000800
Training Epoch: 10 [11008/46250]	Loss: 0.0072	LR: 0.000800
Training Epoch: 10 [11264/46250]	Loss: 0.0079	LR: 0.000800
Training Epoch: 10 [11520/46250]	Loss: 0.0110	LR: 0.000800
Training Epoch: 10 [11776/46250]	Loss: 0.0111	LR: 0.000800
Training Epoch: 10 [12032/46250]	Loss: 0.0079	LR: 0.000800
Training Epoch: 10 [12288/46250]	Loss: 0.0126	LR: 0.000800
Training Epoch: 10 [12544/46250]	Loss: 0.0073	LR: 0.000800
Training Epoch: 10 [12800/46250]	Loss: 0.0128	LR: 0.000800
Training Epoch: 10 [13056/46250]	Loss: 0.0111	LR: 0.000800
Training Epoch: 10 [13312/46250]	Loss: 0.0091	LR: 0.000800
Training Epoch: 10 [13568/46250]	Loss: 0.0093	LR: 0.000800
Training Epoch: 10 [13824/46250]	Loss: 0.0147	LR: 0.000800
Training Epoch: 10 [14080/46250]	Loss: 0.0115	LR: 0.000800
Training Epoch: 10 [14336/46250]	Loss: 0.0114	LR: 0.000800
Training Epoch: 10 [14592/46250]	Loss: 0.0100	LR: 0.000800
Training Epoch: 10 [14848/46250]	Loss: 0.0091	LR: 0.000800
Training Epoch: 10 [15104/46250]	Loss: 0.0141	LR: 0.000800
Training Epoch: 10 [15360/46250]	Loss: 0.0109	LR: 0.000800
Training Epoch: 10 [15616/46250]	Loss: 0.0090	LR: 0.000800
Training Epoch: 10 [15872/46250]	Loss: 0.0090	LR: 0.000800
Training Epoch: 10 [16128/46250]	Loss: 0.0107	LR: 0.000800
Training Epoch: 10 [16384/46250]	Loss: 0.0133	LR: 0.000800
Training Epoch: 10 [16640/46250]	Loss: 0.0108	LR: 0.000800
Training Epoch: 10 [16896/46250]	Loss: 0.0113	LR: 0.000800
Training Epoch: 10 [17152/46250]	Loss: 0.0149	LR: 0.000800
Training Epoch: 10 [17408/46250]	Loss: 0.0106	LR: 0.000800
Training Epoch: 10 [17664/46250]	Loss: 0.0101	LR: 0.000800
Training Epoch: 10 [17920/46250]	Loss: 0.0083	LR: 0.000800
Training Epoch: 10 [18176/46250]	Loss: 0.0119	LR: 0.000800
Training Epoch: 10 [18432/46250]	Loss: 0.0115	LR: 0.000800
Training Epoch: 10 [18688/46250]	Loss: 0.0125	LR: 0.000800
Training Epoch: 10 [18944/46250]	Loss: 0.0091	LR: 0.000800
Training Epoch: 10 [19200/46250]	Loss: 0.0092	LR: 0.000800
Training Epoch: 10 [19456/46250]	Loss: 0.0104	LR: 0.000800
Training Epoch: 10 [19712/46250]	Loss: 0.0084	LR: 0.000800
Training Epoch: 10 [19968/46250]	Loss: 0.0102	LR: 0.000800
Training Epoch: 10 [20224/46250]	Loss: 0.0109	LR: 0.000800
Training Epoch: 10 [20480/46250]	Loss: 0.0148	LR: 0.000800
Training Epoch: 10 [20736/46250]	Loss: 0.0097	LR: 0.000800
Training Epoch: 10 [20992/46250]	Loss: 0.0157	LR: 0.000800
Training Epoch: 10 [21248/46250]	Loss: 0.0092	LR: 0.000800
Training Epoch: 10 [21504/46250]	Loss: 0.0120	LR: 0.000800
Training Epoch: 10 [21760/46250]	Loss: 0.0107	LR: 0.000800
Training Epoch: 10 [22016/46250]	Loss: 0.0097	LR: 0.000800
Training Epoch: 10 [22272/46250]	Loss: 0.0075	LR: 0.000800
Training Epoch: 10 [22528/46250]	Loss: 0.0080	LR: 0.000800
Training Epoch: 10 [22784/46250]	Loss: 0.0094	LR: 0.000800
Training Epoch: 10 [23040/46250]	Loss: 0.0089	LR: 0.000800
Training Epoch: 10 [23296/46250]	Loss: 0.0109	LR: 0.000800
Training Epoch: 10 [23552/46250]	Loss: 0.0083	LR: 0.000800
Training Epoch: 10 [23808/46250]	Loss: 0.0116	LR: 0.000800
Training Epoch: 10 [24064/46250]	Loss: 0.0097	LR: 0.000800
Training Epoch: 10 [24320/46250]	Loss: 0.0073	LR: 0.000800
Training Epoch: 10 [24576/46250]	Loss: 0.0085	LR: 0.000800
Training Epoch: 10 [24832/46250]	Loss: 0.0104	LR: 0.000800
Training Epoch: 10 [25088/46250]	Loss: 0.0125	LR: 0.000800
Training Epoch: 10 [25344/46250]	Loss: 0.0110	LR: 0.000800
Training Epoch: 10 [25600/46250]	Loss: 0.0083	LR: 0.000800
Training Epoch: 10 [25856/46250]	Loss: 0.0101	LR: 0.000800
Training Epoch: 10 [26112/46250]	Loss: 0.0079	LR: 0.000800
Training Epoch: 10 [26368/46250]	Loss: 0.0139	LR: 0.000800
Training Epoch: 10 [26624/46250]	Loss: 0.0104	LR: 0.000800
Training Epoch: 10 [26880/46250]	Loss: 0.0100	LR: 0.000800
Training Epoch: 10 [27136/46250]	Loss: 0.0186	LR: 0.000800
Training Epoch: 10 [27392/46250]	Loss: 0.0119	LR: 0.000800
Training Epoch: 10 [27648/46250]	Loss: 0.0070	LR: 0.000800
Training Epoch: 10 [27904/46250]	Loss: 0.0074	LR: 0.000800
Training Epoch: 10 [28160/46250]	Loss: 0.0229	LR: 0.000800
Training Epoch: 10 [28416/46250]	Loss: 0.0114	LR: 0.000800
Training Epoch: 10 [28672/46250]	Loss: 0.0160	LR: 0.000800
Training Epoch: 10 [28928/46250]	Loss: 0.0111	LR: 0.000800
Training Epoch: 10 [29184/46250]	Loss: 0.0107	LR: 0.000800
Training Epoch: 10 [29440/46250]	Loss: 0.0109	LR: 0.000800
Training Epoch: 10 [29696/46250]	Loss: 0.0167	LR: 0.000800
Training Epoch: 10 [29952/46250]	Loss: 0.0099	LR: 0.000800
Training Epoch: 10 [30208/46250]	Loss: 0.0146	LR: 0.000800
Training Epoch: 10 [30464/46250]	Loss: 0.0105	LR: 0.000800
Training Epoch: 10 [30720/46250]	Loss: 0.0097	LR: 0.000800
Training Epoch: 10 [30976/46250]	Loss: 0.0086	LR: 0.000800
Training Epoch: 10 [31232/46250]	Loss: 0.0087	LR: 0.000800
Training Epoch: 10 [31488/46250]	Loss: 0.0112	LR: 0.000800
Training Epoch: 10 [31744/46250]	Loss: 0.0155	LR: 0.000800
Training Epoch: 10 [32000/46250]	Loss: 0.0093	LR: 0.000800
Training Epoch: 10 [32256/46250]	Loss: 0.0124	LR: 0.000800
Training Epoch: 10 [32512/46250]	Loss: 0.0093	LR: 0.000800
Training Epoch: 10 [32768/46250]	Loss: 0.0099	LR: 0.000800
Training Epoch: 10 [33024/46250]	Loss: 0.0101	LR: 0.000800
Training Epoch: 10 [33280/46250]	Loss: 0.0123	LR: 0.000800
Training Epoch: 10 [33536/46250]	Loss: 0.0100	LR: 0.000800
Training Epoch: 10 [33792/46250]	Loss: 0.0087	LR: 0.000800
Training Epoch: 10 [34048/46250]	Loss: 0.0101	LR: 0.000800
Training Epoch: 10 [34304/46250]	Loss: 0.0120	LR: 0.000800
Training Epoch: 10 [34560/46250]	Loss: 0.0106	LR: 0.000800
Training Epoch: 10 [34816/46250]	Loss: 0.0139	LR: 0.000800
Training Epoch: 10 [35072/46250]	Loss: 0.0079	LR: 0.000800
Training Epoch: 10 [35328/46250]	Loss: 0.0113	LR: 0.000800
Training Epoch: 10 [35584/46250]	Loss: 0.0133	LR: 0.000800
Training Epoch: 10 [35840/46250]	Loss: 0.0091	LR: 0.000800
Training Epoch: 10 [36096/46250]	Loss: 0.0105	LR: 0.000800
Training Epoch: 10 [36352/46250]	Loss: 0.0110	LR: 0.000800
Training Epoch: 10 [36608/46250]	Loss: 0.0111	LR: 0.000800
Training Epoch: 10 [36864/46250]	Loss: 0.0205	LR: 0.000800
Training Epoch: 10 [37120/46250]	Loss: 0.0082	LR: 0.000800
Training Epoch: 10 [37376/46250]	Loss: 0.0122	LR: 0.000800
Training Epoch: 10 [37632/46250]	Loss: 0.0086	LR: 0.000800
Training Epoch: 10 [37888/46250]	Loss: 0.0078	LR: 0.000800
Training Epoch: 10 [38144/46250]	Loss: 0.0128	LR: 0.000800
Training Epoch: 10 [38400/46250]	Loss: 0.0111	LR: 0.000800
Training Epoch: 10 [38656/46250]	Loss: 0.0114	LR: 0.000800
Training Epoch: 10 [38912/46250]	Loss: 0.0102	LR: 0.000800
Training Epoch: 10 [39168/46250]	Loss: 0.0113	LR: 0.000800
Training Epoch: 10 [39424/46250]	Loss: 0.0103	LR: 0.000800
Training Epoch: 10 [39680/46250]	Loss: 0.0114	LR: 0.000800
Training Epoch: 10 [39936/46250]	Loss: 0.0094	LR: 0.000800
Training Epoch: 10 [40192/46250]	Loss: 0.0107	LR: 0.000800
Training Epoch: 10 [40448/46250]	Loss: 0.0087	LR: 0.000800
Training Epoch: 10 [40704/46250]	Loss: 0.0081	LR: 0.000800
Training Epoch: 10 [40960/46250]	Loss: 0.0106	LR: 0.000800
Training Epoch: 10 [41216/46250]	Loss: 0.0111	LR: 0.000800
Training Epoch: 10 [41472/46250]	Loss: 0.0094	LR: 0.000800
Training Epoch: 10 [41728/46250]	Loss: 0.0094	LR: 0.000800
Training Epoch: 10 [41984/46250]	Loss: 0.0112	LR: 0.000800
Training Epoch: 10 [42240/46250]	Loss: 0.0094	LR: 0.000800
Training Epoch: 10 [42496/46250]	Loss: 0.0107	LR: 0.000800
Training Epoch: 10 [42752/46250]	Loss: 0.0139	LR: 0.000800
Training Epoch: 10 [43008/46250]	Loss: 0.0095	LR: 0.000800
Training Epoch: 10 [43264/46250]	Loss: 0.0109	LR: 0.000800
Training Epoch: 10 [43520/46250]	Loss: 0.0074	LR: 0.000800
Training Epoch: 10 [43776/46250]	Loss: 0.0123	LR: 0.000800
Training Epoch: 10 [44032/46250]	Loss: 0.0138	LR: 0.000800
Training Epoch: 10 [44288/46250]	Loss: 0.0111	LR: 0.000800
Training Epoch: 10 [44544/46250]	Loss: 0.0102	LR: 0.000800
Training Epoch: 10 [44800/46250]	Loss: 0.0105	LR: 0.000800
Training Epoch: 10 [45056/46250]	Loss: 0.0099	LR: 0.000800
Training Epoch: 10 [45312/46250]	Loss: 0.0086	LR: 0.000800
Training Epoch: 10 [45568/46250]	Loss: 0.0068	LR: 0.000800
Training Epoch: 10 [45824/46250]	Loss: 0.0094	LR: 0.000800
Training Epoch: 10 [46080/46250]	Loss: 0.0095	LR: 0.000800
Training Epoch: 10 [46250/46250]	Loss: 0.0068	LR: 0.000800
Epoch 10 - Average Train Loss: 0.0108, Train Accuracy: 0.9999
Epoch 10 training time consumed: 17.99s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0025, Accuracy: 0.8271, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_12h_16m_15s/ResNet18-Cifar10-seed5-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: 82.96875
Retain Accuracy: 99.99352264404297
Zero-Retain Forget (ZRF): 0.7678759098052979
Membership Inference Attack (MIA): 0.6282666666666666
Forget vs Retain Membership Inference Attack (MIA): 0.5993333333333334
Forget vs Test Membership Inference Attack (MIA): 0.5093333333333333
Test vs Retain Membership Inference Attack (MIA): 0.62125
Train vs Test Membership Inference Attack (MIA): 0.6315
Forget Set Accuracy (Df): 83.79109954833984
Method Execution Time: 1137.75 seconds
