
Retain class distribution for seed 9:
Class 0: 4500
Class 1: 4500
Class 2: 4500
Class 3: 4500
Class 4: 4500
Class 5: 4500
Class 6: 4500
Class 7: 4500
Class 8: 4500
Class 9: 4500

Forget class distribution for seed 9:
Class 0: 500
Class 1: 500
Class 2: 500
Class 3: 500
Class 4: 500
Class 5: 500
Class 6: 500
Class 7: 500
Class 8: 500
Class 9: 500

Updated class distribution:
Retain set:
  Class 0: 4875
  Class 1: 4875
  Class 2: 4875
  Class 3: 4875
  Class 4: 4875
  Class 5: 4875
  Class 6: 4875
  Class 7: 4875
  Class 8: 4875
  Class 9: 4875
Forget set:
  Class 0: 125
  Class 1: 125
  Class 2: 125
  Class 3: 125
  Class 4: 125
  Class 5: 125
  Class 6: 125
  Class 7: 125
  Class 8: 125
  Class 9: 125
⚠️ Warning: Retain train loader may not be shuffled.
Training Epoch: 1 [256/48750]	Loss: 2.5600	LR: 0.000000
Training Epoch: 1 [512/48750]	Loss: 2.4736	LR: 0.000524
Training Epoch: 1 [768/48750]	Loss: 2.5204	LR: 0.001047
Training Epoch: 1 [1024/48750]	Loss: 2.4924	LR: 0.001571
Training Epoch: 1 [1280/48750]	Loss: 2.3464	LR: 0.002094
Training Epoch: 1 [1536/48750]	Loss: 2.2628	LR: 0.002618
Training Epoch: 1 [1792/48750]	Loss: 2.2863	LR: 0.003141
Training Epoch: 1 [2048/48750]	Loss: 2.2594	LR: 0.003665
Training Epoch: 1 [2304/48750]	Loss: 2.2486	LR: 0.004188
Training Epoch: 1 [2560/48750]	Loss: 2.3291	LR: 0.004712
Training Epoch: 1 [2816/48750]	Loss: 2.3539	LR: 0.005236
Training Epoch: 1 [3072/48750]	Loss: 2.3000	LR: 0.005759
Training Epoch: 1 [3328/48750]	Loss: 2.1672	LR: 0.006283
Training Epoch: 1 [3584/48750]	Loss: 2.2334	LR: 0.006806
Training Epoch: 1 [3840/48750]	Loss: 2.0448	LR: 0.007330
Training Epoch: 1 [4096/48750]	Loss: 2.0180	LR: 0.007853
Training Epoch: 1 [4352/48750]	Loss: 2.0268	LR: 0.008377
Training Epoch: 1 [4608/48750]	Loss: 2.0758	LR: 0.008901
Training Epoch: 1 [4864/48750]	Loss: 2.1196	LR: 0.009424
Training Epoch: 1 [5120/48750]	Loss: 2.1043	LR: 0.009948
Training Epoch: 1 [5376/48750]	Loss: 1.9638	LR: 0.010471
Training Epoch: 1 [5632/48750]	Loss: 1.9281	LR: 0.010995
Training Epoch: 1 [5888/48750]	Loss: 1.8650	LR: 0.011518
Training Epoch: 1 [6144/48750]	Loss: 1.8793	LR: 0.012042
Training Epoch: 1 [6400/48750]	Loss: 1.7824	LR: 0.012565
Training Epoch: 1 [6656/48750]	Loss: 1.8597	LR: 0.013089
Training Epoch: 1 [6912/48750]	Loss: 1.8200	LR: 0.013613
Training Epoch: 1 [7168/48750]	Loss: 1.8013	LR: 0.014136
Training Epoch: 1 [7424/48750]	Loss: 1.9094	LR: 0.014660
Training Epoch: 1 [7680/48750]	Loss: 1.8790	LR: 0.015183
Training Epoch: 1 [7936/48750]	Loss: 1.8066	LR: 0.015707
Training Epoch: 1 [8192/48750]	Loss: 1.8512	LR: 0.016230
Training Epoch: 1 [8448/48750]	Loss: 1.7409	LR: 0.016754
Training Epoch: 1 [8704/48750]	Loss: 1.7431	LR: 0.017277
Training Epoch: 1 [8960/48750]	Loss: 1.7613	LR: 0.017801
Training Epoch: 1 [9216/48750]	Loss: 1.7959	LR: 0.018325
Training Epoch: 1 [9472/48750]	Loss: 1.7708	LR: 0.018848
Training Epoch: 1 [9728/48750]	Loss: 1.7665	LR: 0.019372
Training Epoch: 1 [9984/48750]	Loss: 1.7697	LR: 0.019895
Training Epoch: 1 [10240/48750]	Loss: 1.7417	LR: 0.020419
Training Epoch: 1 [10496/48750]	Loss: 1.8392	LR: 0.020942
Training Epoch: 1 [10752/48750]	Loss: 1.6926	LR: 0.021466
Training Epoch: 1 [11008/48750]	Loss: 1.8086	LR: 0.021990
Training Epoch: 1 [11264/48750]	Loss: 1.7008	LR: 0.022513
Training Epoch: 1 [11520/48750]	Loss: 1.7311	LR: 0.023037
Training Epoch: 1 [11776/48750]	Loss: 1.8039	LR: 0.023560
Training Epoch: 1 [12032/48750]	Loss: 1.8377	LR: 0.024084
Training Epoch: 1 [12288/48750]	Loss: 1.8568	LR: 0.024607
Training Epoch: 1 [12544/48750]	Loss: 1.8870	LR: 0.025131
Training Epoch: 1 [12800/48750]	Loss: 1.7248	LR: 0.025654
Training Epoch: 1 [13056/48750]	Loss: 1.7651	LR: 0.026178
Training Epoch: 1 [13312/48750]	Loss: 1.7005	LR: 0.026702
Training Epoch: 1 [13568/48750]	Loss: 1.6295	LR: 0.027225
Training Epoch: 1 [13824/48750]	Loss: 1.7514	LR: 0.027749
Training Epoch: 1 [14080/48750]	Loss: 1.7336	LR: 0.028272
Training Epoch: 1 [14336/48750]	Loss: 1.6440	LR: 0.028796
Training Epoch: 1 [14592/48750]	Loss: 1.7331	LR: 0.029319
Training Epoch: 1 [14848/48750]	Loss: 1.7585	LR: 0.029843
Training Epoch: 1 [15104/48750]	Loss: 1.7470	LR: 0.030366
Training Epoch: 1 [15360/48750]	Loss: 1.7649	LR: 0.030890
Training Epoch: 1 [15616/48750]	Loss: 1.7891	LR: 0.031414
Training Epoch: 1 [15872/48750]	Loss: 1.6895	LR: 0.031937
Training Epoch: 1 [16128/48750]	Loss: 1.6545	LR: 0.032461
Training Epoch: 1 [16384/48750]	Loss: 1.8818	LR: 0.032984
Training Epoch: 1 [16640/48750]	Loss: 1.8034	LR: 0.033508
Training Epoch: 1 [16896/48750]	Loss: 1.6037	LR: 0.034031
Training Epoch: 1 [17152/48750]	Loss: 1.7421	LR: 0.034555
Training Epoch: 1 [17408/48750]	Loss: 1.7199	LR: 0.035079
Training Epoch: 1 [17664/48750]	Loss: 1.7563	LR: 0.035602
Training Epoch: 1 [17920/48750]	Loss: 1.7330	LR: 0.036126
Training Epoch: 1 [18176/48750]	Loss: 1.8030	LR: 0.036649
Training Epoch: 1 [18432/48750]	Loss: 1.8504	LR: 0.037173
Training Epoch: 1 [18688/48750]	Loss: 1.7052	LR: 0.037696
Training Epoch: 1 [18944/48750]	Loss: 1.9766	LR: 0.038220
Training Epoch: 1 [19200/48750]	Loss: 1.6256	LR: 0.038743
Training Epoch: 1 [19456/48750]	Loss: 1.7752	LR: 0.039267
Training Epoch: 1 [19712/48750]	Loss: 1.6762	LR: 0.039791
Training Epoch: 1 [19968/48750]	Loss: 1.8413	LR: 0.040314
Training Epoch: 1 [20224/48750]	Loss: 1.6913	LR: 0.040838
Training Epoch: 1 [20480/48750]	Loss: 1.6641	LR: 0.041361
Training Epoch: 1 [20736/48750]	Loss: 1.6265	LR: 0.041885
Training Epoch: 1 [20992/48750]	Loss: 1.6636	LR: 0.042408
Training Epoch: 1 [21248/48750]	Loss: 1.6120	LR: 0.042932
Training Epoch: 1 [21504/48750]	Loss: 1.6485	LR: 0.043455
Training Epoch: 1 [21760/48750]	Loss: 1.5147	LR: 0.043979
Training Epoch: 1 [22016/48750]	Loss: 1.5603	LR: 0.044503
Training Epoch: 1 [22272/48750]	Loss: 1.7789	LR: 0.045026
Training Epoch: 1 [22528/48750]	Loss: 1.5603	LR: 0.045550
Training Epoch: 1 [22784/48750]	Loss: 1.6007	LR: 0.046073
Training Epoch: 1 [23040/48750]	Loss: 1.6802	LR: 0.046597
Training Epoch: 1 [23296/48750]	Loss: 1.5665	LR: 0.047120
Training Epoch: 1 [23552/48750]	Loss: 1.5132	LR: 0.047644
Training Epoch: 1 [23808/48750]	Loss: 1.6808	LR: 0.048168
Training Epoch: 1 [24064/48750]	Loss: 1.4752	LR: 0.048691
Training Epoch: 1 [24320/48750]	Loss: 1.8409	LR: 0.049215
Training Epoch: 1 [24576/48750]	Loss: 1.7128	LR: 0.049738
Training Epoch: 1 [24832/48750]	Loss: 1.6939	LR: 0.050262
Training Epoch: 1 [25088/48750]	Loss: 1.7038	LR: 0.050785
Training Epoch: 1 [25344/48750]	Loss: 1.6293	LR: 0.051309
Training Epoch: 1 [25600/48750]	Loss: 1.5558	LR: 0.051832
Training Epoch: 1 [25856/48750]	Loss: 1.6079	LR: 0.052356
Training Epoch: 1 [26112/48750]	Loss: 1.6786	LR: 0.052880
Training Epoch: 1 [26368/48750]	Loss: 1.6443	LR: 0.053403
Training Epoch: 1 [26624/48750]	Loss: 1.7714	LR: 0.053927
Training Epoch: 1 [26880/48750]	Loss: 1.5918	LR: 0.054450
Training Epoch: 1 [27136/48750]	Loss: 1.6434	LR: 0.054974
Training Epoch: 1 [27392/48750]	Loss: 1.6474	LR: 0.055497
Training Epoch: 1 [27648/48750]	Loss: 1.5651	LR: 0.056021
Training Epoch: 1 [27904/48750]	Loss: 1.4959	LR: 0.056545
Training Epoch: 1 [28160/48750]	Loss: 1.5499	LR: 0.057068
Training Epoch: 1 [28416/48750]	Loss: 1.5422	LR: 0.057592
Training Epoch: 1 [28672/48750]	Loss: 1.5503	LR: 0.058115
Training Epoch: 1 [28928/48750]	Loss: 1.5286	LR: 0.058639
Training Epoch: 1 [29184/48750]	Loss: 1.5955	LR: 0.059162
Training Epoch: 1 [29440/48750]	Loss: 1.5925	LR: 0.059686
Training Epoch: 1 [29696/48750]	Loss: 1.6371	LR: 0.060209
Training Epoch: 1 [29952/48750]	Loss: 1.4703	LR: 0.060733
Training Epoch: 1 [30208/48750]	Loss: 1.5986	LR: 0.061257
Training Epoch: 1 [30464/48750]	Loss: 1.6241	LR: 0.061780
Training Epoch: 1 [30720/48750]	Loss: 1.6390	LR: 0.062304
Training Epoch: 1 [30976/48750]	Loss: 1.6824	LR: 0.062827
Training Epoch: 1 [31232/48750]	Loss: 1.8097	LR: 0.063351
Training Epoch: 1 [31488/48750]	Loss: 1.5845	LR: 0.063874
Training Epoch: 1 [31744/48750]	Loss: 1.5599	LR: 0.064398
Training Epoch: 1 [32000/48750]	Loss: 1.5592	LR: 0.064921
Training Epoch: 1 [32256/48750]	Loss: 1.5623	LR: 0.065445
Training Epoch: 1 [32512/48750]	Loss: 1.4950	LR: 0.065969
Training Epoch: 1 [32768/48750]	Loss: 1.3541	LR: 0.066492
Training Epoch: 1 [33024/48750]	Loss: 1.4496	LR: 0.067016
Training Epoch: 1 [33280/48750]	Loss: 1.4232	LR: 0.067539
Training Epoch: 1 [33536/48750]	Loss: 1.5120	LR: 0.068063
Training Epoch: 1 [33792/48750]	Loss: 1.6059	LR: 0.068586
Training Epoch: 1 [34048/48750]	Loss: 1.6501	LR: 0.069110
Training Epoch: 1 [34304/48750]	Loss: 1.6098	LR: 0.069634
Training Epoch: 1 [34560/48750]	Loss: 1.5354	LR: 0.070157
Training Epoch: 1 [34816/48750]	Loss: 1.8191	LR: 0.070681
Training Epoch: 1 [35072/48750]	Loss: 1.4563	LR: 0.071204
Training Epoch: 1 [35328/48750]	Loss: 1.6015	LR: 0.071728
Training Epoch: 1 [35584/48750]	Loss: 1.7307	LR: 0.072251
Training Epoch: 1 [35840/48750]	Loss: 1.4881	LR: 0.072775
Training Epoch: 1 [36096/48750]	Loss: 1.5471	LR: 0.073298
Training Epoch: 1 [36352/48750]	Loss: 1.7491	LR: 0.073822
Training Epoch: 1 [36608/48750]	Loss: 1.4194	LR: 0.074346
Training Epoch: 1 [36864/48750]	Loss: 1.3991	LR: 0.074869
Training Epoch: 1 [37120/48750]	Loss: 1.6027	LR: 0.075393
Training Epoch: 1 [37376/48750]	Loss: 1.6468	LR: 0.075916
Training Epoch: 1 [37632/48750]	Loss: 1.4313	LR: 0.076440
Training Epoch: 1 [37888/48750]	Loss: 1.4251	LR: 0.076963
Training Epoch: 1 [38144/48750]	Loss: 1.4827	LR: 0.077487
Training Epoch: 1 [38400/48750]	Loss: 1.5075	LR: 0.078010
Training Epoch: 1 [38656/48750]	Loss: 1.4953	LR: 0.078534
Training Epoch: 1 [38912/48750]	Loss: 1.4839	LR: 0.079058
Training Epoch: 1 [39168/48750]	Loss: 1.4525	LR: 0.079581
Training Epoch: 1 [39424/48750]	Loss: 1.3487	LR: 0.080105
Training Epoch: 1 [39680/48750]	Loss: 1.4267	LR: 0.080628
Training Epoch: 1 [39936/48750]	Loss: 1.5286	LR: 0.081152
Training Epoch: 1 [40192/48750]	Loss: 1.5460	LR: 0.081675
Training Epoch: 1 [40448/48750]	Loss: 1.3747	LR: 0.082199
Training Epoch: 1 [40704/48750]	Loss: 1.6132	LR: 0.082723
Training Epoch: 1 [40960/48750]	Loss: 1.4608	LR: 0.083246
Training Epoch: 1 [41216/48750]	Loss: 1.5447	LR: 0.083770
Training Epoch: 1 [41472/48750]	Loss: 1.6635	LR: 0.084293
Training Epoch: 1 [41728/48750]	Loss: 1.4711	LR: 0.084817
Training Epoch: 1 [41984/48750]	Loss: 1.6938	LR: 0.085340
Training Epoch: 1 [42240/48750]	Loss: 1.4991	LR: 0.085864
Training Epoch: 1 [42496/48750]	Loss: 1.6203	LR: 0.086387
Training Epoch: 1 [42752/48750]	Loss: 1.5636	LR: 0.086911
Training Epoch: 1 [43008/48750]	Loss: 1.5231	LR: 0.087435
Training Epoch: 1 [43264/48750]	Loss: 1.5274	LR: 0.087958
Training Epoch: 1 [43520/48750]	Loss: 1.8471	LR: 0.088482
Training Epoch: 1 [43776/48750]	Loss: 1.6734	LR: 0.089005
Training Epoch: 1 [44032/48750]	Loss: 1.5560	LR: 0.089529
Training Epoch: 1 [44288/48750]	Loss: 1.4208	LR: 0.090052
Training Epoch: 1 [44544/48750]	Loss: 1.6174	LR: 0.090576
Training Epoch: 1 [44800/48750]	Loss: 1.6011	LR: 0.091099
Training Epoch: 1 [45056/48750]	Loss: 1.3287	LR: 0.091623
Training Epoch: 1 [45312/48750]	Loss: 1.3877	LR: 0.092147
Training Epoch: 1 [45568/48750]	Loss: 1.3005	LR: 0.092670
Training Epoch: 1 [45824/48750]	Loss: 1.6098	LR: 0.093194
Training Epoch: 1 [46080/48750]	Loss: 1.2465	LR: 0.093717
Training Epoch: 1 [46336/48750]	Loss: 1.4864	LR: 0.094241
Training Epoch: 1 [46592/48750]	Loss: 1.4015	LR: 0.094764
Training Epoch: 1 [46848/48750]	Loss: 1.2662	LR: 0.095288
Training Epoch: 1 [47104/48750]	Loss: 1.3338	LR: 0.095812
Training Epoch: 1 [47360/48750]	Loss: 1.3759	LR: 0.096335
Training Epoch: 1 [47616/48750]	Loss: 1.3595	LR: 0.096859
Training Epoch: 1 [47872/48750]	Loss: 1.2281	LR: 0.097382
Training Epoch: 1 [48128/48750]	Loss: 1.5838	LR: 0.097906
Training Epoch: 1 [48384/48750]	Loss: 1.4606	LR: 0.098429
Training Epoch: 1 [48640/48750]	Loss: 1.2493	LR: 0.098953
Training Epoch: 1 [48750/48750]	Loss: 1.3825	LR: 0.099476
Epoch 1 - Average Train Loss: 1.6952, Train Accuracy: 0.3825
Epoch 1 training time consumed: 29.89s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0078, Accuracy: 0.4459, Time consumed:1.08s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_23h_39m_28s/ResNet18-Cifar10-seed9-ret75-1-best.pth
Training Epoch: 2 [256/48750]	Loss: 1.4376	LR: 0.100000
Training Epoch: 2 [512/48750]	Loss: 1.3989	LR: 0.100000
Training Epoch: 2 [768/48750]	Loss: 1.4427	LR: 0.100000
Training Epoch: 2 [1024/48750]	Loss: 1.3297	LR: 0.100000
Training Epoch: 2 [1280/48750]	Loss: 1.4631	LR: 0.100000
Training Epoch: 2 [1536/48750]	Loss: 1.2799	LR: 0.100000
Training Epoch: 2 [1792/48750]	Loss: 1.3166	LR: 0.100000
Training Epoch: 2 [2048/48750]	Loss: 1.3282	LR: 0.100000
Training Epoch: 2 [2304/48750]	Loss: 1.4624	LR: 0.100000
Training Epoch: 2 [2560/48750]	Loss: 1.3434	LR: 0.100000
Training Epoch: 2 [2816/48750]	Loss: 1.4239	LR: 0.100000
Training Epoch: 2 [3072/48750]	Loss: 1.3655	LR: 0.100000
Training Epoch: 2 [3328/48750]	Loss: 1.3189	LR: 0.100000
Training Epoch: 2 [3584/48750]	Loss: 1.3117	LR: 0.100000
Training Epoch: 2 [3840/48750]	Loss: 1.4160	LR: 0.100000
Training Epoch: 2 [4096/48750]	Loss: 1.3750	LR: 0.100000
Training Epoch: 2 [4352/48750]	Loss: 1.3433	LR: 0.100000
Training Epoch: 2 [4608/48750]	Loss: 1.1627	LR: 0.100000
Training Epoch: 2 [4864/48750]	Loss: 1.1509	LR: 0.100000
Training Epoch: 2 [5120/48750]	Loss: 1.3068	LR: 0.100000
Training Epoch: 2 [5376/48750]	Loss: 1.3112	LR: 0.100000
Training Epoch: 2 [5632/48750]	Loss: 1.5321	LR: 0.100000
Training Epoch: 2 [5888/48750]	Loss: 1.4736	LR: 0.100000
Training Epoch: 2 [6144/48750]	Loss: 1.2349	LR: 0.100000
Training Epoch: 2 [6400/48750]	Loss: 1.2389	LR: 0.100000
Training Epoch: 2 [6656/48750]	Loss: 1.2064	LR: 0.100000
Training Epoch: 2 [6912/48750]	Loss: 1.3868	LR: 0.100000
Training Epoch: 2 [7168/48750]	Loss: 1.2657	LR: 0.100000
Training Epoch: 2 [7424/48750]	Loss: 1.3838	LR: 0.100000
Training Epoch: 2 [7680/48750]	Loss: 1.3519	LR: 0.100000
Training Epoch: 2 [7936/48750]	Loss: 1.2259	LR: 0.100000
Training Epoch: 2 [8192/48750]	Loss: 1.3740	LR: 0.100000
Training Epoch: 2 [8448/48750]	Loss: 1.3599	LR: 0.100000
Training Epoch: 2 [8704/48750]	Loss: 1.2675	LR: 0.100000
Training Epoch: 2 [8960/48750]	Loss: 1.1951	LR: 0.100000
Training Epoch: 2 [9216/48750]	Loss: 1.3143	LR: 0.100000
Training Epoch: 2 [9472/48750]	Loss: 1.3654	LR: 0.100000
Training Epoch: 2 [9728/48750]	Loss: 1.2503	LR: 0.100000
Training Epoch: 2 [9984/48750]	Loss: 1.3434	LR: 0.100000
Training Epoch: 2 [10240/48750]	Loss: 1.2568	LR: 0.100000
Training Epoch: 2 [10496/48750]	Loss: 1.2081	LR: 0.100000
Training Epoch: 2 [10752/48750]	Loss: 1.0648	LR: 0.100000
Training Epoch: 2 [11008/48750]	Loss: 1.1860	LR: 0.100000
Training Epoch: 2 [11264/48750]	Loss: 1.2482	LR: 0.100000
Training Epoch: 2 [11520/48750]	Loss: 1.2580	LR: 0.100000
Training Epoch: 2 [11776/48750]	Loss: 1.2351	LR: 0.100000
Training Epoch: 2 [12032/48750]	Loss: 1.1907	LR: 0.100000
Training Epoch: 2 [12288/48750]	Loss: 1.3197	LR: 0.100000
Training Epoch: 2 [12544/48750]	Loss: 1.3100	LR: 0.100000
Training Epoch: 2 [12800/48750]	Loss: 1.2020	LR: 0.100000
Training Epoch: 2 [13056/48750]	Loss: 1.3111	LR: 0.100000
Training Epoch: 2 [13312/48750]	Loss: 1.2834	LR: 0.100000
Training Epoch: 2 [13568/48750]	Loss: 1.1214	LR: 0.100000
Training Epoch: 2 [13824/48750]	Loss: 1.1746	LR: 0.100000
Training Epoch: 2 [14080/48750]	Loss: 1.1923	LR: 0.100000
Training Epoch: 2 [14336/48750]	Loss: 1.4228	LR: 0.100000
Training Epoch: 2 [14592/48750]	Loss: 1.1413	LR: 0.100000
Training Epoch: 2 [14848/48750]	Loss: 1.2838	LR: 0.100000
Training Epoch: 2 [15104/48750]	Loss: 1.4685	LR: 0.100000
Training Epoch: 2 [15360/48750]	Loss: 1.0107	LR: 0.100000
Training Epoch: 2 [15616/48750]	Loss: 1.2268	LR: 0.100000
Training Epoch: 2 [15872/48750]	Loss: 1.3453	LR: 0.100000
Training Epoch: 2 [16128/48750]	Loss: 1.2907	LR: 0.100000
Training Epoch: 2 [16384/48750]	Loss: 1.1993	LR: 0.100000
Training Epoch: 2 [16640/48750]	Loss: 1.3909	LR: 0.100000
Training Epoch: 2 [16896/48750]	Loss: 1.3766	LR: 0.100000
Training Epoch: 2 [17152/48750]	Loss: 1.5763	LR: 0.100000
Training Epoch: 2 [17408/48750]	Loss: 1.4161	LR: 0.100000
Training Epoch: 2 [17664/48750]	Loss: 1.1397	LR: 0.100000
Training Epoch: 2 [17920/48750]	Loss: 1.1517	LR: 0.100000
Training Epoch: 2 [18176/48750]	Loss: 1.3186	LR: 0.100000
Training Epoch: 2 [18432/48750]	Loss: 1.1788	LR: 0.100000
Training Epoch: 2 [18688/48750]	Loss: 1.1999	LR: 0.100000
Training Epoch: 2 [18944/48750]	Loss: 1.4375	LR: 0.100000
Training Epoch: 2 [19200/48750]	Loss: 1.1421	LR: 0.100000
Training Epoch: 2 [19456/48750]	Loss: 1.2133	LR: 0.100000
Training Epoch: 2 [19712/48750]	Loss: 1.1939	LR: 0.100000
Training Epoch: 2 [19968/48750]	Loss: 1.3006	LR: 0.100000
Training Epoch: 2 [20224/48750]	Loss: 0.9953	LR: 0.100000
Training Epoch: 2 [20480/48750]	Loss: 1.1754	LR: 0.100000
Training Epoch: 2 [20736/48750]	Loss: 1.3456	LR: 0.100000
Training Epoch: 2 [20992/48750]	Loss: 1.2575	LR: 0.100000
Training Epoch: 2 [21248/48750]	Loss: 1.2474	LR: 0.100000
Training Epoch: 2 [21504/48750]	Loss: 1.1340	LR: 0.100000
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Training Epoch: 2 [48640/48750]	Loss: 0.8750	LR: 0.100000
Training Epoch: 2 [48750/48750]	Loss: 1.1577	LR: 0.100000
Epoch 2 - Average Train Loss: 1.1831, Train Accuracy: 0.5776
Epoch 2 training time consumed: 29.33s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0049, Accuracy: 0.5930, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_23h_39m_28s/ResNet18-Cifar10-seed9-ret75-2-best.pth
Training Epoch: 3 [256/48750]	Loss: 1.1065	LR: 0.100000
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Training Epoch: 3 [48384/48750]	Loss: 0.7797	LR: 0.100000
Training Epoch: 3 [48640/48750]	Loss: 0.9175	LR: 0.100000
Training Epoch: 3 [48750/48750]	Loss: 0.8041	LR: 0.100000
Epoch 3 - Average Train Loss: 0.9282, Train Accuracy: 0.6712
Epoch 3 training time consumed: 29.68s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0035, Accuracy: 0.6999, Time consumed:0.99s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_23h_39m_28s/ResNet18-Cifar10-seed9-ret75-3-best.pth
Training Epoch: 4 [256/48750]	Loss: 0.6973	LR: 0.100000
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Training Epoch: 4 [48750/48750]	Loss: 0.7653	LR: 0.100000
Epoch 4 - Average Train Loss: 0.7869, Train Accuracy: 0.7254
Epoch 4 training time consumed: 29.61s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0032, Accuracy: 0.7218, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_23h_39m_28s/ResNet18-Cifar10-seed9-ret75-4-best.pth
Training Epoch: 5 [256/48750]	Loss: 0.7369	LR: 0.100000
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Training Epoch: 5 [48750/48750]	Loss: 0.7020	LR: 0.100000
Epoch 5 - Average Train Loss: 0.7014, Train Accuracy: 0.7552
Epoch 5 training time consumed: 29.31s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0034, Accuracy: 0.7330, Time consumed:1.00s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_23h_39m_28s/ResNet18-Cifar10-seed9-ret75-5-best.pth
Training Epoch: 6 [256/48750]	Loss: 0.6237	LR: 0.100000
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Training Epoch: 6 [48750/48750]	Loss: 0.7863	LR: 0.100000
Epoch 6 - Average Train Loss: 0.6375, Train Accuracy: 0.7802
Epoch 6 training time consumed: 29.93s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0029, Accuracy: 0.7646, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_23h_39m_28s/ResNet18-Cifar10-seed9-ret75-6-best.pth
Training Epoch: 7 [256/48750]	Loss: 0.5550	LR: 0.100000
Training Epoch: 7 [512/48750]	Loss: 0.7335	LR: 0.100000
Training Epoch: 7 [768/48750]	Loss: 0.5650	LR: 0.100000
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Training Epoch: 7 [2304/48750]	Loss: 0.6429	LR: 0.100000
Training Epoch: 7 [2560/48750]	Loss: 0.7073	LR: 0.100000
Training Epoch: 7 [2816/48750]	Loss: 0.6655	LR: 0.100000
Training Epoch: 7 [3072/48750]	Loss: 0.5109	LR: 0.100000
Training Epoch: 7 [3328/48750]	Loss: 0.5784	LR: 0.100000
Training Epoch: 7 [3584/48750]	Loss: 0.5861	LR: 0.100000
Training Epoch: 7 [3840/48750]	Loss: 0.6364	LR: 0.100000
Training Epoch: 7 [4096/48750]	Loss: 0.5964	LR: 0.100000
Training Epoch: 7 [4352/48750]	Loss: 0.7168	LR: 0.100000
Training Epoch: 7 [4608/48750]	Loss: 0.5162	LR: 0.100000
Training Epoch: 7 [4864/48750]	Loss: 0.6204	LR: 0.100000
Training Epoch: 7 [5120/48750]	Loss: 0.5903	LR: 0.100000
Training Epoch: 7 [5376/48750]	Loss: 0.6985	LR: 0.100000
Training Epoch: 7 [5632/48750]	Loss: 0.5916	LR: 0.100000
Training Epoch: 7 [5888/48750]	Loss: 0.5337	LR: 0.100000
Training Epoch: 7 [6144/48750]	Loss: 0.4734	LR: 0.100000
Training Epoch: 7 [6400/48750]	Loss: 0.6054	LR: 0.100000
Training Epoch: 7 [6656/48750]	Loss: 0.6671	LR: 0.100000
Training Epoch: 7 [6912/48750]	Loss: 0.5888	LR: 0.100000
Training Epoch: 7 [7168/48750]	Loss: 0.4801	LR: 0.100000
Training Epoch: 7 [7424/48750]	Loss: 0.5312	LR: 0.100000
Training Epoch: 7 [7680/48750]	Loss: 0.6659	LR: 0.100000
Training Epoch: 7 [7936/48750]	Loss: 0.6051	LR: 0.100000
Training Epoch: 7 [8192/48750]	Loss: 0.6550	LR: 0.100000
Training Epoch: 7 [8448/48750]	Loss: 0.6221	LR: 0.100000
Training Epoch: 7 [8704/48750]	Loss: 0.6232	LR: 0.100000
Training Epoch: 7 [8960/48750]	Loss: 0.5257	LR: 0.100000
Training Epoch: 7 [9216/48750]	Loss: 0.6345	LR: 0.100000
Training Epoch: 7 [9472/48750]	Loss: 0.5365	LR: 0.100000
Training Epoch: 7 [9728/48750]	Loss: 0.6353	LR: 0.100000
Training Epoch: 7 [9984/48750]	Loss: 0.6416	LR: 0.100000
Training Epoch: 7 [10240/48750]	Loss: 0.5431	LR: 0.100000
Training Epoch: 7 [10496/48750]	Loss: 0.5939	LR: 0.100000
Training Epoch: 7 [10752/48750]	Loss: 0.6641	LR: 0.100000
Training Epoch: 7 [11008/48750]	Loss: 0.5625	LR: 0.100000
Training Epoch: 7 [11264/48750]	Loss: 0.5555	LR: 0.100000
Training Epoch: 7 [11520/48750]	Loss: 0.5880	LR: 0.100000
Training Epoch: 7 [11776/48750]	Loss: 0.6431	LR: 0.100000
Training Epoch: 7 [12032/48750]	Loss: 0.5237	LR: 0.100000
Training Epoch: 7 [12288/48750]	Loss: 0.5720	LR: 0.100000
Training Epoch: 7 [12544/48750]	Loss: 0.5838	LR: 0.100000
Training Epoch: 7 [12800/48750]	Loss: 0.5822	LR: 0.100000
Training Epoch: 7 [13056/48750]	Loss: 0.5556	LR: 0.100000
Training Epoch: 7 [13312/48750]	Loss: 0.5820	LR: 0.100000
Training Epoch: 7 [13568/48750]	Loss: 0.6233	LR: 0.100000
Training Epoch: 7 [13824/48750]	Loss: 0.6128	LR: 0.100000
Training Epoch: 7 [14080/48750]	Loss: 0.6688	LR: 0.100000
Training Epoch: 7 [14336/48750]	Loss: 0.6205	LR: 0.100000
Training Epoch: 7 [14592/48750]	Loss: 0.5563	LR: 0.100000
Training Epoch: 7 [14848/48750]	Loss: 0.6044	LR: 0.100000
Training Epoch: 7 [15104/48750]	Loss: 0.5777	LR: 0.100000
Training Epoch: 7 [15360/48750]	Loss: 0.5680	LR: 0.100000
Training Epoch: 7 [15616/48750]	Loss: 0.5786	LR: 0.100000
Training Epoch: 7 [15872/48750]	Loss: 0.6613	LR: 0.100000
Training Epoch: 7 [16128/48750]	Loss: 0.6646	LR: 0.100000
Training Epoch: 7 [16384/48750]	Loss: 0.6373	LR: 0.100000
Training Epoch: 7 [16640/48750]	Loss: 0.6523	LR: 0.100000
Training Epoch: 7 [16896/48750]	Loss: 0.6343	LR: 0.100000
Training Epoch: 7 [17152/48750]	Loss: 0.5674	LR: 0.100000
Training Epoch: 7 [17408/48750]	Loss: 0.5238	LR: 0.100000
Training Epoch: 7 [17664/48750]	Loss: 0.5565	LR: 0.100000
Training Epoch: 7 [17920/48750]	Loss: 0.6029	LR: 0.100000
Training Epoch: 7 [18176/48750]	Loss: 0.5551	LR: 0.100000
Training Epoch: 7 [18432/48750]	Loss: 0.5242	LR: 0.100000
Training Epoch: 7 [18688/48750]	Loss: 0.5865	LR: 0.100000
Training Epoch: 7 [18944/48750]	Loss: 0.7714	LR: 0.100000
Training Epoch: 7 [19200/48750]	Loss: 0.4854	LR: 0.100000
Training Epoch: 7 [19456/48750]	Loss: 0.4741	LR: 0.100000
Training Epoch: 7 [19712/48750]	Loss: 0.6777	LR: 0.100000
Training Epoch: 7 [19968/48750]	Loss: 0.5767	LR: 0.100000
Training Epoch: 7 [20224/48750]	Loss: 0.5511	LR: 0.100000
Training Epoch: 7 [20480/48750]	Loss: 0.5014	LR: 0.100000
Training Epoch: 7 [20736/48750]	Loss: 0.6022	LR: 0.100000
Training Epoch: 7 [20992/48750]	Loss: 0.5844	LR: 0.100000
Training Epoch: 7 [21248/48750]	Loss: 0.6374	LR: 0.100000
Training Epoch: 7 [21504/48750]	Loss: 0.5891	LR: 0.100000
Training Epoch: 7 [21760/48750]	Loss: 0.6619	LR: 0.100000
Training Epoch: 7 [22016/48750]	Loss: 0.5136	LR: 0.100000
Training Epoch: 7 [22272/48750]	Loss: 0.5477	LR: 0.100000
Training Epoch: 7 [22528/48750]	Loss: 0.5199	LR: 0.100000
Training Epoch: 7 [22784/48750]	Loss: 0.5943	LR: 0.100000
Training Epoch: 7 [23040/48750]	Loss: 0.5243	LR: 0.100000
Training Epoch: 7 [23296/48750]	Loss: 0.6361	LR: 0.100000
Training Epoch: 7 [23552/48750]	Loss: 0.5925	LR: 0.100000
Training Epoch: 7 [23808/48750]	Loss: 0.6570	LR: 0.100000
Training Epoch: 7 [24064/48750]	Loss: 0.6100	LR: 0.100000
Training Epoch: 7 [24320/48750]	Loss: 0.5500	LR: 0.100000
Training Epoch: 7 [24576/48750]	Loss: 0.5121	LR: 0.100000
Training Epoch: 7 [24832/48750]	Loss: 0.7006	LR: 0.100000
Training Epoch: 7 [25088/48750]	Loss: 0.6362	LR: 0.100000
Training Epoch: 7 [25344/48750]	Loss: 0.5938	LR: 0.100000
Training Epoch: 7 [25600/48750]	Loss: 0.5926	LR: 0.100000
Training Epoch: 7 [25856/48750]	Loss: 0.5857	LR: 0.100000
Training Epoch: 7 [26112/48750]	Loss: 0.6205	LR: 0.100000
Training Epoch: 7 [26368/48750]	Loss: 0.5445	LR: 0.100000
Training Epoch: 7 [26624/48750]	Loss: 0.5479	LR: 0.100000
Training Epoch: 7 [26880/48750]	Loss: 0.7233	LR: 0.100000
Training Epoch: 7 [27136/48750]	Loss: 0.6503	LR: 0.100000
Training Epoch: 7 [27392/48750]	Loss: 0.5911	LR: 0.100000
Training Epoch: 7 [27648/48750]	Loss: 0.6295	LR: 0.100000
Training Epoch: 7 [27904/48750]	Loss: 0.5869	LR: 0.100000
Training Epoch: 7 [28160/48750]	Loss: 0.6391	LR: 0.100000
Training Epoch: 7 [28416/48750]	Loss: 0.6249	LR: 0.100000
Training Epoch: 7 [28672/48750]	Loss: 0.5688	LR: 0.100000
Training Epoch: 7 [28928/48750]	Loss: 0.6840	LR: 0.100000
Training Epoch: 7 [29184/48750]	Loss: 0.7574	LR: 0.100000
Training Epoch: 7 [29440/48750]	Loss: 0.6806	LR: 0.100000
Training Epoch: 7 [29696/48750]	Loss: 0.5585	LR: 0.100000
Training Epoch: 7 [29952/48750]	Loss: 0.5861	LR: 0.100000
Training Epoch: 7 [30208/48750]	Loss: 0.6668	LR: 0.100000
Training Epoch: 7 [30464/48750]	Loss: 0.6140	LR: 0.100000
Training Epoch: 7 [30720/48750]	Loss: 0.5705	LR: 0.100000
Training Epoch: 7 [30976/48750]	Loss: 0.5501	LR: 0.100000
Training Epoch: 7 [31232/48750]	Loss: 0.5295	LR: 0.100000
Training Epoch: 7 [31488/48750]	Loss: 0.5284	LR: 0.100000
Training Epoch: 7 [31744/48750]	Loss: 0.5136	LR: 0.100000
Training Epoch: 7 [32000/48750]	Loss: 0.6733	LR: 0.100000
Training Epoch: 7 [32256/48750]	Loss: 0.5343	LR: 0.100000
Training Epoch: 7 [32512/48750]	Loss: 0.6166	LR: 0.100000
Training Epoch: 7 [32768/48750]	Loss: 0.6182	LR: 0.100000
Training Epoch: 7 [33024/48750]	Loss: 0.7085	LR: 0.100000
Training Epoch: 7 [33280/48750]	Loss: 0.6766	LR: 0.100000
Training Epoch: 7 [33536/48750]	Loss: 0.5065	LR: 0.100000
Training Epoch: 7 [33792/48750]	Loss: 0.5249	LR: 0.100000
Training Epoch: 7 [34048/48750]	Loss: 0.6182	LR: 0.100000
Training Epoch: 7 [34304/48750]	Loss: 0.5838	LR: 0.100000
Training Epoch: 7 [34560/48750]	Loss: 0.5577	LR: 0.100000
Training Epoch: 7 [34816/48750]	Loss: 0.5615	LR: 0.100000
Training Epoch: 7 [35072/48750]	Loss: 0.5386	LR: 0.100000
Training Epoch: 7 [35328/48750]	Loss: 0.5479	LR: 0.100000
Training Epoch: 7 [35584/48750]	Loss: 0.5156	LR: 0.100000
Training Epoch: 7 [35840/48750]	Loss: 0.5681	LR: 0.100000
Training Epoch: 7 [36096/48750]	Loss: 0.5650	LR: 0.100000
Training Epoch: 7 [36352/48750]	Loss: 0.4505	LR: 0.100000
Training Epoch: 7 [36608/48750]	Loss: 0.6018	LR: 0.100000
Training Epoch: 7 [36864/48750]	Loss: 0.5073	LR: 0.100000
Training Epoch: 7 [37120/48750]	Loss: 0.5928	LR: 0.100000
Training Epoch: 7 [37376/48750]	Loss: 0.5952	LR: 0.100000
Training Epoch: 7 [37632/48750]	Loss: 0.7147	LR: 0.100000
Training Epoch: 7 [37888/48750]	Loss: 0.5501	LR: 0.100000
Training Epoch: 7 [38144/48750]	Loss: 0.5637	LR: 0.100000
Training Epoch: 7 [38400/48750]	Loss: 0.6295	LR: 0.100000
Training Epoch: 7 [38656/48750]	Loss: 0.6634	LR: 0.100000
Training Epoch: 7 [38912/48750]	Loss: 0.5068	LR: 0.100000
Training Epoch: 7 [39168/48750]	Loss: 0.6522	LR: 0.100000
Training Epoch: 7 [39424/48750]	Loss: 0.6218	LR: 0.100000
Training Epoch: 7 [39680/48750]	Loss: 0.5187	LR: 0.100000
Training Epoch: 7 [39936/48750]	Loss: 0.5771	LR: 0.100000
Training Epoch: 7 [40192/48750]	Loss: 0.6546	LR: 0.100000
Training Epoch: 7 [40448/48750]	Loss: 0.6304	LR: 0.100000
Training Epoch: 7 [40704/48750]	Loss: 0.6376	LR: 0.100000
Training Epoch: 7 [40960/48750]	Loss: 0.5424	LR: 0.100000
Training Epoch: 7 [41216/48750]	Loss: 0.6872	LR: 0.100000
Training Epoch: 7 [41472/48750]	Loss: 0.7942	LR: 0.100000
Training Epoch: 7 [41728/48750]	Loss: 0.7444	LR: 0.100000
Training Epoch: 7 [41984/48750]	Loss: 0.5974	LR: 0.100000
Training Epoch: 7 [42240/48750]	Loss: 0.6053	LR: 0.100000
Training Epoch: 7 [42496/48750]	Loss: 0.5476	LR: 0.100000
Training Epoch: 7 [42752/48750]	Loss: 0.5614	LR: 0.100000
Training Epoch: 7 [43008/48750]	Loss: 0.5534	LR: 0.100000
Training Epoch: 7 [43264/48750]	Loss: 0.5616	LR: 0.100000
Training Epoch: 7 [43520/48750]	Loss: 0.4823	LR: 0.100000
Training Epoch: 7 [43776/48750]	Loss: 0.6061	LR: 0.100000
Training Epoch: 7 [44032/48750]	Loss: 0.5740	LR: 0.100000
Training Epoch: 7 [44288/48750]	Loss: 0.6557	LR: 0.100000
Training Epoch: 7 [44544/48750]	Loss: 0.6058	LR: 0.100000
Training Epoch: 7 [44800/48750]	Loss: 0.5979	LR: 0.100000
Training Epoch: 7 [45056/48750]	Loss: 0.5735	LR: 0.100000
Training Epoch: 7 [45312/48750]	Loss: 0.5212	LR: 0.100000
Training Epoch: 7 [45568/48750]	Loss: 0.6612	LR: 0.100000
Training Epoch: 7 [45824/48750]	Loss: 0.5228	LR: 0.100000
Training Epoch: 7 [46080/48750]	Loss: 0.7111	LR: 0.100000
Training Epoch: 7 [46336/48750]	Loss: 0.5477	LR: 0.100000
Training Epoch: 7 [46592/48750]	Loss: 0.5216	LR: 0.100000
Training Epoch: 7 [46848/48750]	Loss: 0.6066	LR: 0.100000
Training Epoch: 7 [47104/48750]	Loss: 0.6043	LR: 0.100000
Training Epoch: 7 [47360/48750]	Loss: 0.5483	LR: 0.100000
Training Epoch: 7 [47616/48750]	Loss: 0.5790	LR: 0.100000
Training Epoch: 7 [47872/48750]	Loss: 0.6814	LR: 0.100000
Training Epoch: 7 [48128/48750]	Loss: 0.5138	LR: 0.100000
Training Epoch: 7 [48384/48750]	Loss: 0.5338	LR: 0.100000
Training Epoch: 7 [48640/48750]	Loss: 0.5837	LR: 0.100000
Training Epoch: 7 [48750/48750]	Loss: 0.4136	LR: 0.100000
Epoch 7 - Average Train Loss: 0.5947, Train Accuracy: 0.7924
Epoch 7 training time consumed: 29.63s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0032, Accuracy: 0.7402, Time consumed:0.95s
Training Epoch: 8 [256/48750]	Loss: 0.5698	LR: 0.020000
Training Epoch: 8 [512/48750]	Loss: 0.6571	LR: 0.020000
Training Epoch: 8 [768/48750]	Loss: 0.5085	LR: 0.020000
Training Epoch: 8 [1024/48750]	Loss: 0.6547	LR: 0.020000
Training Epoch: 8 [1280/48750]	Loss: 0.5518	LR: 0.020000
Training Epoch: 8 [1536/48750]	Loss: 0.5446	LR: 0.020000
Training Epoch: 8 [1792/48750]	Loss: 0.5172	LR: 0.020000
Training Epoch: 8 [2048/48750]	Loss: 0.6201	LR: 0.020000
Training Epoch: 8 [2304/48750]	Loss: 0.5189	LR: 0.020000
Training Epoch: 8 [2560/48750]	Loss: 0.5119	LR: 0.020000
Training Epoch: 8 [2816/48750]	Loss: 0.4868	LR: 0.020000
Training Epoch: 8 [3072/48750]	Loss: 0.6527	LR: 0.020000
Training Epoch: 8 [3328/48750]	Loss: 0.5716	LR: 0.020000
Training Epoch: 8 [3584/48750]	Loss: 0.5744	LR: 0.020000
Training Epoch: 8 [3840/48750]	Loss: 0.4874	LR: 0.020000
Training Epoch: 8 [4096/48750]	Loss: 0.4124	LR: 0.020000
Training Epoch: 8 [4352/48750]	Loss: 0.4291	LR: 0.020000
Training Epoch: 8 [4608/48750]	Loss: 0.4538	LR: 0.020000
Training Epoch: 8 [4864/48750]	Loss: 0.4365	LR: 0.020000
Training Epoch: 8 [5120/48750]	Loss: 0.5371	LR: 0.020000
Training Epoch: 8 [5376/48750]	Loss: 0.5494	LR: 0.020000
Training Epoch: 8 [5632/48750]	Loss: 0.5073	LR: 0.020000
Training Epoch: 8 [5888/48750]	Loss: 0.4645	LR: 0.020000
Training Epoch: 8 [6144/48750]	Loss: 0.5160	LR: 0.020000
Training Epoch: 8 [6400/48750]	Loss: 0.5180	LR: 0.020000
Training Epoch: 8 [6656/48750]	Loss: 0.5230	LR: 0.020000
Training Epoch: 8 [6912/48750]	Loss: 0.4320	LR: 0.020000
Training Epoch: 8 [7168/48750]	Loss: 0.4624	LR: 0.020000
Training Epoch: 8 [7424/48750]	Loss: 0.5337	LR: 0.020000
Training Epoch: 8 [7680/48750]	Loss: 0.4833	LR: 0.020000
Training Epoch: 8 [7936/48750]	Loss: 0.4012	LR: 0.020000
Training Epoch: 8 [8192/48750]	Loss: 0.5256	LR: 0.020000
Training Epoch: 8 [8448/48750]	Loss: 0.4422	LR: 0.020000
Training Epoch: 8 [8704/48750]	Loss: 0.3876	LR: 0.020000
Training Epoch: 8 [8960/48750]	Loss: 0.3724	LR: 0.020000
Training Epoch: 8 [9216/48750]	Loss: 0.3845	LR: 0.020000
Training Epoch: 8 [9472/48750]	Loss: 0.4169	LR: 0.020000
Training Epoch: 8 [9728/48750]	Loss: 0.5621	LR: 0.020000
Training Epoch: 8 [9984/48750]	Loss: 0.5114	LR: 0.020000
Training Epoch: 8 [10240/48750]	Loss: 0.3849	LR: 0.020000
Training Epoch: 8 [10496/48750]	Loss: 0.5836	LR: 0.020000
Training Epoch: 8 [10752/48750]	Loss: 0.4255	LR: 0.020000
Training Epoch: 8 [11008/48750]	Loss: 0.4122	LR: 0.020000
Training Epoch: 8 [11264/48750]	Loss: 0.4218	LR: 0.020000
Training Epoch: 8 [11520/48750]	Loss: 0.4669	LR: 0.020000
Training Epoch: 8 [11776/48750]	Loss: 0.4677	LR: 0.020000
Training Epoch: 8 [12032/48750]	Loss: 0.4425	LR: 0.020000
Training Epoch: 8 [12288/48750]	Loss: 0.4030	LR: 0.020000
Training Epoch: 8 [12544/48750]	Loss: 0.4960	LR: 0.020000
Training Epoch: 8 [12800/48750]	Loss: 0.3505	LR: 0.020000
Training Epoch: 8 [13056/48750]	Loss: 0.4465	LR: 0.020000
Training Epoch: 8 [13312/48750]	Loss: 0.4174	LR: 0.020000
Training Epoch: 8 [13568/48750]	Loss: 0.4047	LR: 0.020000
Training Epoch: 8 [13824/48750]	Loss: 0.4708	LR: 0.020000
Training Epoch: 8 [14080/48750]	Loss: 0.4935	LR: 0.020000
Training Epoch: 8 [14336/48750]	Loss: 0.4060	LR: 0.020000
Training Epoch: 8 [14592/48750]	Loss: 0.5004	LR: 0.020000
Training Epoch: 8 [14848/48750]	Loss: 0.4588	LR: 0.020000
Training Epoch: 8 [15104/48750]	Loss: 0.3535	LR: 0.020000
Training Epoch: 8 [15360/48750]	Loss: 0.4219	LR: 0.020000
Training Epoch: 8 [15616/48750]	Loss: 0.5416	LR: 0.020000
Training Epoch: 8 [15872/48750]	Loss: 0.5325	LR: 0.020000
Training Epoch: 8 [16128/48750]	Loss: 0.4449	LR: 0.020000
Training Epoch: 8 [16384/48750]	Loss: 0.4629	LR: 0.020000
Training Epoch: 8 [16640/48750]	Loss: 0.4399	LR: 0.020000
Training Epoch: 8 [16896/48750]	Loss: 0.4494	LR: 0.020000
Training Epoch: 8 [17152/48750]	Loss: 0.4200	LR: 0.020000
Training Epoch: 8 [17408/48750]	Loss: 0.4281	LR: 0.020000
Training Epoch: 8 [17664/48750]	Loss: 0.3274	LR: 0.020000
Training Epoch: 8 [17920/48750]	Loss: 0.4513	LR: 0.020000
Training Epoch: 8 [18176/48750]	Loss: 0.3901	LR: 0.020000
Training Epoch: 8 [18432/48750]	Loss: 0.3919	LR: 0.020000
Training Epoch: 8 [18688/48750]	Loss: 0.4617	LR: 0.020000
Training Epoch: 8 [18944/48750]	Loss: 0.4145	LR: 0.020000
Training Epoch: 8 [19200/48750]	Loss: 0.5220	LR: 0.020000
Training Epoch: 8 [19456/48750]	Loss: 0.4164	LR: 0.020000
Training Epoch: 8 [19712/48750]	Loss: 0.5201	LR: 0.020000
Training Epoch: 8 [19968/48750]	Loss: 0.4302	LR: 0.020000
Training Epoch: 8 [20224/48750]	Loss: 0.4282	LR: 0.020000
Training Epoch: 8 [20480/48750]	Loss: 0.4464	LR: 0.020000
Training Epoch: 8 [20736/48750]	Loss: 0.4827	LR: 0.020000
Training Epoch: 8 [20992/48750]	Loss: 0.5171	LR: 0.020000
Training Epoch: 8 [21248/48750]	Loss: 0.3624	LR: 0.020000
Training Epoch: 8 [21504/48750]	Loss: 0.4409	LR: 0.020000
Training Epoch: 8 [21760/48750]	Loss: 0.4793	LR: 0.020000
Training Epoch: 8 [22016/48750]	Loss: 0.4163	LR: 0.020000
Training Epoch: 8 [22272/48750]	Loss: 0.4460	LR: 0.020000
Training Epoch: 8 [22528/48750]	Loss: 0.4440	LR: 0.020000
Training Epoch: 8 [22784/48750]	Loss: 0.4977	LR: 0.020000
Training Epoch: 8 [23040/48750]	Loss: 0.4055	LR: 0.020000
Training Epoch: 8 [23296/48750]	Loss: 0.4064	LR: 0.020000
Training Epoch: 8 [23552/48750]	Loss: 0.4877	LR: 0.020000
Training Epoch: 8 [23808/48750]	Loss: 0.4227	LR: 0.020000
Training Epoch: 8 [24064/48750]	Loss: 0.4088	LR: 0.020000
Training Epoch: 8 [24320/48750]	Loss: 0.4744	LR: 0.020000
Training Epoch: 8 [24576/48750]	Loss: 0.4474	LR: 0.020000
Training Epoch: 8 [24832/48750]	Loss: 0.3991	LR: 0.020000
Training Epoch: 8 [25088/48750]	Loss: 0.4479	LR: 0.020000
Training Epoch: 8 [25344/48750]	Loss: 0.4174	LR: 0.020000
Training Epoch: 8 [25600/48750]	Loss: 0.5431	LR: 0.020000
Training Epoch: 8 [25856/48750]	Loss: 0.3943	LR: 0.020000
Training Epoch: 8 [26112/48750]	Loss: 0.4007	LR: 0.020000
Training Epoch: 8 [26368/48750]	Loss: 0.5100	LR: 0.020000
Training Epoch: 8 [26624/48750]	Loss: 0.3875	LR: 0.020000
Training Epoch: 8 [26880/48750]	Loss: 0.3788	LR: 0.020000
Training Epoch: 8 [27136/48750]	Loss: 0.4601	LR: 0.020000
Training Epoch: 8 [27392/48750]	Loss: 0.4391	LR: 0.020000
Training Epoch: 8 [27648/48750]	Loss: 0.5743	LR: 0.020000
Training Epoch: 8 [27904/48750]	Loss: 0.3870	LR: 0.020000
Training Epoch: 8 [28160/48750]	Loss: 0.4669	LR: 0.020000
Training Epoch: 8 [28416/48750]	Loss: 0.4622	LR: 0.020000
Training Epoch: 8 [28672/48750]	Loss: 0.4228	LR: 0.020000
Training Epoch: 8 [28928/48750]	Loss: 0.3657	LR: 0.020000
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Training Epoch: 8 [45312/48750]	Loss: 0.4800	LR: 0.020000
Training Epoch: 8 [45568/48750]	Loss: 0.3757	LR: 0.020000
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Training Epoch: 8 [46080/48750]	Loss: 0.4229	LR: 0.020000
Training Epoch: 8 [46336/48750]	Loss: 0.4242	LR: 0.020000
Training Epoch: 8 [46592/48750]	Loss: 0.4319	LR: 0.020000
Training Epoch: 8 [46848/48750]	Loss: 0.4054	LR: 0.020000
Training Epoch: 8 [47104/48750]	Loss: 0.3783	LR: 0.020000
Training Epoch: 8 [47360/48750]	Loss: 0.4086	LR: 0.020000
Training Epoch: 8 [47616/48750]	Loss: 0.4045	LR: 0.020000
Training Epoch: 8 [47872/48750]	Loss: 0.4339	LR: 0.020000
Training Epoch: 8 [48128/48750]	Loss: 0.3748	LR: 0.020000
Training Epoch: 8 [48384/48750]	Loss: 0.3772	LR: 0.020000
Training Epoch: 8 [48640/48750]	Loss: 0.4260	LR: 0.020000
Training Epoch: 8 [48750/48750]	Loss: 0.4791	LR: 0.020000
Epoch 8 - Average Train Loss: 0.4448, Train Accuracy: 0.8467
Epoch 8 training time consumed: 29.52s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0016, Accuracy: 0.8596, Time consumed:1.05s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_23h_39m_28s/ResNet18-Cifar10-seed9-ret75-8-best.pth
Training Epoch: 9 [256/48750]	Loss: 0.3254	LR: 0.020000
Training Epoch: 9 [512/48750]	Loss: 0.4459	LR: 0.020000
Training Epoch: 9 [768/48750]	Loss: 0.4732	LR: 0.020000
Training Epoch: 9 [1024/48750]	Loss: 0.3798	LR: 0.020000
Training Epoch: 9 [1280/48750]	Loss: 0.3363	LR: 0.020000
Training Epoch: 9 [1536/48750]	Loss: 0.3343	LR: 0.020000
Training Epoch: 9 [1792/48750]	Loss: 0.4129	LR: 0.020000
Training Epoch: 9 [2048/48750]	Loss: 0.3984	LR: 0.020000
Training Epoch: 9 [2304/48750]	Loss: 0.4644	LR: 0.020000
Training Epoch: 9 [2560/48750]	Loss: 0.4742	LR: 0.020000
Training Epoch: 9 [2816/48750]	Loss: 0.3192	LR: 0.020000
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Training Epoch: 9 [4352/48750]	Loss: 0.4104	LR: 0.020000
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Training Epoch: 9 [45056/48750]	Loss: 0.3719	LR: 0.020000
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Training Epoch: 9 [46336/48750]	Loss: 0.3359	LR: 0.020000
Training Epoch: 9 [46592/48750]	Loss: 0.4342	LR: 0.020000
Training Epoch: 9 [46848/48750]	Loss: 0.4151	LR: 0.020000
Training Epoch: 9 [47104/48750]	Loss: 0.4848	LR: 0.020000
Training Epoch: 9 [47360/48750]	Loss: 0.3616	LR: 0.020000
Training Epoch: 9 [47616/48750]	Loss: 0.4382	LR: 0.020000
Training Epoch: 9 [47872/48750]	Loss: 0.4798	LR: 0.020000
Training Epoch: 9 [48128/48750]	Loss: 0.3837	LR: 0.020000
Training Epoch: 9 [48384/48750]	Loss: 0.3283	LR: 0.020000
Training Epoch: 9 [48640/48750]	Loss: 0.3751	LR: 0.020000
Training Epoch: 9 [48750/48750]	Loss: 0.4324	LR: 0.020000
Epoch 9 - Average Train Loss: 0.3952, Train Accuracy: 0.8616
Epoch 9 training time consumed: 29.54s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0016, Accuracy: 0.8679, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_23h_39m_28s/ResNet18-Cifar10-seed9-ret75-9-best.pth
Training Epoch: 10 [256/48750]	Loss: 0.3927	LR: 0.020000
Training Epoch: 10 [512/48750]	Loss: 0.4185	LR: 0.020000
Training Epoch: 10 [768/48750]	Loss: 0.4116	LR: 0.020000
Training Epoch: 10 [1024/48750]	Loss: 0.4086	LR: 0.020000
Training Epoch: 10 [1280/48750]	Loss: 0.3356	LR: 0.020000
Training Epoch: 10 [1536/48750]	Loss: 0.3671	LR: 0.020000
Training Epoch: 10 [1792/48750]	Loss: 0.4183	LR: 0.020000
Training Epoch: 10 [2048/48750]	Loss: 0.3447	LR: 0.020000
Training Epoch: 10 [2304/48750]	Loss: 0.3410	LR: 0.020000
Training Epoch: 10 [2560/48750]	Loss: 0.4325	LR: 0.020000
Training Epoch: 10 [2816/48750]	Loss: 0.3831	LR: 0.020000
Training Epoch: 10 [3072/48750]	Loss: 0.3568	LR: 0.020000
Training Epoch: 10 [3328/48750]	Loss: 0.3973	LR: 0.020000
Training Epoch: 10 [3584/48750]	Loss: 0.2748	LR: 0.020000
Training Epoch: 10 [3840/48750]	Loss: 0.3841	LR: 0.020000
Training Epoch: 10 [4096/48750]	Loss: 0.4132	LR: 0.020000
Training Epoch: 10 [4352/48750]	Loss: 0.4091	LR: 0.020000
Training Epoch: 10 [4608/48750]	Loss: 0.4589	LR: 0.020000
Training Epoch: 10 [4864/48750]	Loss: 0.3400	LR: 0.020000
Training Epoch: 10 [5120/48750]	Loss: 0.4348	LR: 0.020000
Training Epoch: 10 [5376/48750]	Loss: 0.3379	LR: 0.020000
Training Epoch: 10 [5632/48750]	Loss: 0.3204	LR: 0.020000
Training Epoch: 10 [5888/48750]	Loss: 0.3943	LR: 0.020000
Training Epoch: 10 [6144/48750]	Loss: 0.3089	LR: 0.020000
Training Epoch: 10 [6400/48750]	Loss: 0.3422	LR: 0.020000
Training Epoch: 10 [6656/48750]	Loss: 0.3743	LR: 0.020000
Training Epoch: 10 [6912/48750]	Loss: 0.3859	LR: 0.020000
Training Epoch: 10 [7168/48750]	Loss: 0.3459	LR: 0.020000
Training Epoch: 10 [7424/48750]	Loss: 0.3699	LR: 0.020000
Training Epoch: 10 [7680/48750]	Loss: 0.2845	LR: 0.020000
Training Epoch: 10 [7936/48750]	Loss: 0.3707	LR: 0.020000
Training Epoch: 10 [8192/48750]	Loss: 0.3662	LR: 0.020000
Training Epoch: 10 [8448/48750]	Loss: 0.4388	LR: 0.020000
Training Epoch: 10 [8704/48750]	Loss: 0.3805	LR: 0.020000
Training Epoch: 10 [8960/48750]	Loss: 0.3272	LR: 0.020000
Training Epoch: 10 [9216/48750]	Loss: 0.3998	LR: 0.020000
Training Epoch: 10 [9472/48750]	Loss: 0.4141	LR: 0.020000
Training Epoch: 10 [9728/48750]	Loss: 0.3512	LR: 0.020000
Training Epoch: 10 [9984/48750]	Loss: 0.4042	LR: 0.020000
Training Epoch: 10 [10240/48750]	Loss: 0.3117	LR: 0.020000
Training Epoch: 10 [10496/48750]	Loss: 0.3646	LR: 0.020000
Training Epoch: 10 [10752/48750]	Loss: 0.2752	LR: 0.020000
Training Epoch: 10 [11008/48750]	Loss: 0.4641	LR: 0.020000
Training Epoch: 10 [11264/48750]	Loss: 0.3728	LR: 0.020000
Training Epoch: 10 [11520/48750]	Loss: 0.3679	LR: 0.020000
Training Epoch: 10 [11776/48750]	Loss: 0.3448	LR: 0.020000
Training Epoch: 10 [12032/48750]	Loss: 0.3849	LR: 0.020000
Training Epoch: 10 [12288/48750]	Loss: 0.3824	LR: 0.020000
Training Epoch: 10 [12544/48750]	Loss: 0.3862	LR: 0.020000
Training Epoch: 10 [12800/48750]	Loss: 0.3664	LR: 0.020000
Training Epoch: 10 [13056/48750]	Loss: 0.3570	LR: 0.020000
Training Epoch: 10 [13312/48750]	Loss: 0.3701	LR: 0.020000
Training Epoch: 10 [13568/48750]	Loss: 0.4207	LR: 0.020000
Training Epoch: 10 [13824/48750]	Loss: 0.3374	LR: 0.020000
Training Epoch: 10 [14080/48750]	Loss: 0.2765	LR: 0.020000
Training Epoch: 10 [14336/48750]	Loss: 0.4004	LR: 0.020000
Training Epoch: 10 [14592/48750]	Loss: 0.3043	LR: 0.020000
Training Epoch: 10 [14848/48750]	Loss: 0.4011	LR: 0.020000
Training Epoch: 10 [15104/48750]	Loss: 0.3078	LR: 0.020000
Training Epoch: 10 [15360/48750]	Loss: 0.3785	LR: 0.020000
Training Epoch: 10 [15616/48750]	Loss: 0.3736	LR: 0.020000
Training Epoch: 10 [15872/48750]	Loss: 0.3598	LR: 0.020000
Training Epoch: 10 [16128/48750]	Loss: 0.4170	LR: 0.020000
Training Epoch: 10 [16384/48750]	Loss: 0.3818	LR: 0.020000
Training Epoch: 10 [16640/48750]	Loss: 0.4277	LR: 0.020000
Training Epoch: 10 [16896/48750]	Loss: 0.3174	LR: 0.020000
Training Epoch: 10 [17152/48750]	Loss: 0.3591	LR: 0.020000
Training Epoch: 10 [17408/48750]	Loss: 0.2596	LR: 0.020000
Training Epoch: 10 [17664/48750]	Loss: 0.4036	LR: 0.020000
Training Epoch: 10 [17920/48750]	Loss: 0.4095	LR: 0.020000
Training Epoch: 10 [18176/48750]	Loss: 0.4762	LR: 0.020000
Training Epoch: 10 [18432/48750]	Loss: 0.3704	LR: 0.020000
Training Epoch: 10 [18688/48750]	Loss: 0.3774	LR: 0.020000
Training Epoch: 10 [18944/48750]	Loss: 0.3593	LR: 0.020000
Training Epoch: 10 [19200/48750]	Loss: 0.4394	LR: 0.020000
Training Epoch: 10 [19456/48750]	Loss: 0.3687	LR: 0.020000
Training Epoch: 10 [19712/48750]	Loss: 0.4251	LR: 0.020000
Training Epoch: 10 [19968/48750]	Loss: 0.4483	LR: 0.020000
Training Epoch: 10 [20224/48750]	Loss: 0.4194	LR: 0.020000
Training Epoch: 10 [20480/48750]	Loss: 0.3833	LR: 0.020000
Training Epoch: 10 [20736/48750]	Loss: 0.3586	LR: 0.020000
Training Epoch: 10 [20992/48750]	Loss: 0.4240	LR: 0.020000
Training Epoch: 10 [21248/48750]	Loss: 0.3311	LR: 0.020000
Training Epoch: 10 [21504/48750]	Loss: 0.3418	LR: 0.020000
Training Epoch: 10 [21760/48750]	Loss: 0.3999	LR: 0.020000
Training Epoch: 10 [22016/48750]	Loss: 0.4253	LR: 0.020000
Training Epoch: 10 [22272/48750]	Loss: 0.4124	LR: 0.020000
Training Epoch: 10 [22528/48750]	Loss: 0.4327	LR: 0.020000
Training Epoch: 10 [22784/48750]	Loss: 0.4226	LR: 0.020000
Training Epoch: 10 [23040/48750]	Loss: 0.3407	LR: 0.020000
Training Epoch: 10 [23296/48750]	Loss: 0.4435	LR: 0.020000
Training Epoch: 10 [23552/48750]	Loss: 0.3851	LR: 0.020000
Training Epoch: 10 [23808/48750]	Loss: 0.4350	LR: 0.020000
Training Epoch: 10 [24064/48750]	Loss: 0.4188	LR: 0.020000
Training Epoch: 10 [24320/48750]	Loss: 0.3812	LR: 0.020000
Training Epoch: 10 [24576/48750]	Loss: 0.3455	LR: 0.020000
Training Epoch: 10 [24832/48750]	Loss: 0.3416	LR: 0.020000
Training Epoch: 10 [25088/48750]	Loss: 0.2993	LR: 0.020000
Training Epoch: 10 [25344/48750]	Loss: 0.3664	LR: 0.020000
Training Epoch: 10 [25600/48750]	Loss: 0.3015	LR: 0.020000
Training Epoch: 10 [25856/48750]	Loss: 0.3764	LR: 0.020000
Training Epoch: 10 [26112/48750]	Loss: 0.2742	LR: 0.020000
Training Epoch: 10 [26368/48750]	Loss: 0.4043	LR: 0.020000
Training Epoch: 10 [26624/48750]	Loss: 0.3929	LR: 0.020000
Training Epoch: 10 [26880/48750]	Loss: 0.3170	LR: 0.020000
Training Epoch: 10 [27136/48750]	Loss: 0.2900	LR: 0.020000
Training Epoch: 10 [27392/48750]	Loss: 0.4288	LR: 0.020000
Training Epoch: 10 [27648/48750]	Loss: 0.4132	LR: 0.020000
Training Epoch: 10 [27904/48750]	Loss: 0.4047	LR: 0.020000
Training Epoch: 10 [28160/48750]	Loss: 0.4049	LR: 0.020000
Training Epoch: 10 [28416/48750]	Loss: 0.3472	LR: 0.020000
Training Epoch: 10 [28672/48750]	Loss: 0.3908	LR: 0.020000
Training Epoch: 10 [28928/48750]	Loss: 0.4112	LR: 0.020000
Training Epoch: 10 [29184/48750]	Loss: 0.3976	LR: 0.020000
Training Epoch: 10 [29440/48750]	Loss: 0.4014	LR: 0.020000
Training Epoch: 10 [29696/48750]	Loss: 0.3572	LR: 0.020000
Training Epoch: 10 [29952/48750]	Loss: 0.3679	LR: 0.020000
Training Epoch: 10 [30208/48750]	Loss: 0.4786	LR: 0.020000
Training Epoch: 10 [30464/48750]	Loss: 0.3516	LR: 0.020000
Training Epoch: 10 [30720/48750]	Loss: 0.2966	LR: 0.020000
Training Epoch: 10 [30976/48750]	Loss: 0.3186	LR: 0.020000
Training Epoch: 10 [31232/48750]	Loss: 0.3140	LR: 0.020000
Training Epoch: 10 [31488/48750]	Loss: 0.4954	LR: 0.020000
Training Epoch: 10 [31744/48750]	Loss: 0.2766	LR: 0.020000
Training Epoch: 10 [32000/48750]	Loss: 0.4042	LR: 0.020000
Training Epoch: 10 [32256/48750]	Loss: 0.4324	LR: 0.020000
Training Epoch: 10 [32512/48750]	Loss: 0.3653	LR: 0.020000
Training Epoch: 10 [32768/48750]	Loss: 0.2933	LR: 0.020000
Training Epoch: 10 [33024/48750]	Loss: 0.3119	LR: 0.020000
Training Epoch: 10 [33280/48750]	Loss: 0.3276	LR: 0.020000
Training Epoch: 10 [33536/48750]	Loss: 0.3765	LR: 0.020000
Training Epoch: 10 [33792/48750]	Loss: 0.3913	LR: 0.020000
Training Epoch: 10 [34048/48750]	Loss: 0.3576	LR: 0.020000
Training Epoch: 10 [34304/48750]	Loss: 0.4432	LR: 0.020000
Training Epoch: 10 [34560/48750]	Loss: 0.3410	LR: 0.020000
Training Epoch: 10 [34816/48750]	Loss: 0.4360	LR: 0.020000
Training Epoch: 10 [35072/48750]	Loss: 0.3481	LR: 0.020000
Training Epoch: 10 [35328/48750]	Loss: 0.3095	LR: 0.020000
Training Epoch: 10 [35584/48750]	Loss: 0.3390	LR: 0.020000
Training Epoch: 10 [35840/48750]	Loss: 0.3748	LR: 0.020000
Training Epoch: 10 [36096/48750]	Loss: 0.4828	LR: 0.020000
Training Epoch: 10 [36352/48750]	Loss: 0.3928	LR: 0.020000
Training Epoch: 10 [36608/48750]	Loss: 0.4116	LR: 0.020000
Training Epoch: 10 [36864/48750]	Loss: 0.3579	LR: 0.020000
Training Epoch: 10 [37120/48750]	Loss: 0.3847	LR: 0.020000
Training Epoch: 10 [37376/48750]	Loss: 0.4074	LR: 0.020000
Training Epoch: 10 [37632/48750]	Loss: 0.3260	LR: 0.020000
Training Epoch: 10 [37888/48750]	Loss: 0.4496	LR: 0.020000
Training Epoch: 10 [38144/48750]	Loss: 0.4503	LR: 0.020000
Training Epoch: 10 [38400/48750]	Loss: 0.3550	LR: 0.020000
Training Epoch: 10 [38656/48750]	Loss: 0.3389	LR: 0.020000
Training Epoch: 10 [38912/48750]	Loss: 0.4371	LR: 0.020000
Training Epoch: 10 [39168/48750]	Loss: 0.4372	LR: 0.020000
Training Epoch: 10 [39424/48750]	Loss: 0.3844	LR: 0.020000
Training Epoch: 10 [39680/48750]	Loss: 0.4099	LR: 0.020000
Training Epoch: 10 [39936/48750]	Loss: 0.3494	LR: 0.020000
Training Epoch: 10 [40192/48750]	Loss: 0.4818	LR: 0.020000
Training Epoch: 10 [40448/48750]	Loss: 0.3693	LR: 0.020000
Training Epoch: 10 [40704/48750]	Loss: 0.4461	LR: 0.020000
Training Epoch: 10 [40960/48750]	Loss: 0.5675	LR: 0.020000
Training Epoch: 10 [41216/48750]	Loss: 0.4128	LR: 0.020000
Training Epoch: 10 [41472/48750]	Loss: 0.3325	LR: 0.020000
Training Epoch: 10 [41728/48750]	Loss: 0.2802	LR: 0.020000
Training Epoch: 10 [41984/48750]	Loss: 0.2545	LR: 0.020000
Training Epoch: 10 [42240/48750]	Loss: 0.4004	LR: 0.020000
Training Epoch: 10 [42496/48750]	Loss: 0.3805	LR: 0.020000
Training Epoch: 10 [42752/48750]	Loss: 0.4038	LR: 0.020000
Training Epoch: 10 [43008/48750]	Loss: 0.3469	LR: 0.020000
Training Epoch: 10 [43264/48750]	Loss: 0.3893	LR: 0.020000
Training Epoch: 10 [43520/48750]	Loss: 0.4012	LR: 0.020000
Training Epoch: 10 [43776/48750]	Loss: 0.4320	LR: 0.020000
Training Epoch: 10 [44032/48750]	Loss: 0.4030	LR: 0.020000
Training Epoch: 10 [44288/48750]	Loss: 0.3971	LR: 0.020000
Training Epoch: 10 [44544/48750]	Loss: 0.3293	LR: 0.020000
Training Epoch: 10 [44800/48750]	Loss: 0.3709	LR: 0.020000
Training Epoch: 10 [45056/48750]	Loss: 0.3431	LR: 0.020000
Training Epoch: 10 [45312/48750]	Loss: 0.3682	LR: 0.020000
Training Epoch: 10 [45568/48750]	Loss: 0.4248	LR: 0.020000
Training Epoch: 10 [45824/48750]	Loss: 0.3886	LR: 0.020000
Training Epoch: 10 [46080/48750]	Loss: 0.3083	LR: 0.020000
Training Epoch: 10 [46336/48750]	Loss: 0.3940	LR: 0.020000
Training Epoch: 10 [46592/48750]	Loss: 0.3756	LR: 0.020000
Training Epoch: 10 [46848/48750]	Loss: 0.2722	LR: 0.020000
Training Epoch: 10 [47104/48750]	Loss: 0.3255	LR: 0.020000
Training Epoch: 10 [47360/48750]	Loss: 0.3632	LR: 0.020000
Training Epoch: 10 [47616/48750]	Loss: 0.4573	LR: 0.020000
Training Epoch: 10 [47872/48750]	Loss: 0.3637	LR: 0.020000
Training Epoch: 10 [48128/48750]	Loss: 0.3437	LR: 0.020000
Training Epoch: 10 [48384/48750]	Loss: 0.2617	LR: 0.020000
Training Epoch: 10 [48640/48750]	Loss: 0.3247	LR: 0.020000
Training Epoch: 10 [48750/48750]	Loss: 0.2993	LR: 0.020000
Epoch 10 - Average Train Loss: 0.3759, Train Accuracy: 0.8691
Epoch 10 training time consumed: 29.56s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0015, Accuracy: 0.8661, Time consumed:0.98s
Training Epoch: 11 [256/48750]	Loss: 0.3251	LR: 0.020000
Training Epoch: 11 [512/48750]	Loss: 0.3199	LR: 0.020000
Training Epoch: 11 [768/48750]	Loss: 0.3012	LR: 0.020000
Training Epoch: 11 [1024/48750]	Loss: 0.3615	LR: 0.020000
Training Epoch: 11 [1280/48750]	Loss: 0.3445	LR: 0.020000
Training Epoch: 11 [1536/48750]	Loss: 0.3758	LR: 0.020000
Training Epoch: 11 [1792/48750]	Loss: 0.2632	LR: 0.020000
Training Epoch: 11 [2048/48750]	Loss: 0.2633	LR: 0.020000
Training Epoch: 11 [2304/48750]	Loss: 0.3901	LR: 0.020000
Training Epoch: 11 [2560/48750]	Loss: 0.3424	LR: 0.020000
Training Epoch: 11 [2816/48750]	Loss: 0.3474	LR: 0.020000
Training Epoch: 11 [3072/48750]	Loss: 0.3237	LR: 0.020000
Training Epoch: 11 [3328/48750]	Loss: 0.3111	LR: 0.020000
Training Epoch: 11 [3584/48750]	Loss: 0.3576	LR: 0.020000
Training Epoch: 11 [3840/48750]	Loss: 0.3199	LR: 0.020000
Training Epoch: 11 [4096/48750]	Loss: 0.3981	LR: 0.020000
Training Epoch: 11 [4352/48750]	Loss: 0.4093	LR: 0.020000
Training Epoch: 11 [4608/48750]	Loss: 0.3100	LR: 0.020000
Training Epoch: 11 [4864/48750]	Loss: 0.3180	LR: 0.020000
Training Epoch: 11 [5120/48750]	Loss: 0.3368	LR: 0.020000
Training Epoch: 11 [5376/48750]	Loss: 0.3381	LR: 0.020000
Training Epoch: 11 [5632/48750]	Loss: 0.3369	LR: 0.020000
Training Epoch: 11 [5888/48750]	Loss: 0.4512	LR: 0.020000
Training Epoch: 11 [6144/48750]	Loss: 0.2832	LR: 0.020000
Training Epoch: 11 [6400/48750]	Loss: 0.3194	LR: 0.020000
Training Epoch: 11 [6656/48750]	Loss: 0.2944	LR: 0.020000
Training Epoch: 11 [6912/48750]	Loss: 0.4327	LR: 0.020000
Training Epoch: 11 [7168/48750]	Loss: 0.3644	LR: 0.020000
Training Epoch: 11 [7424/48750]	Loss: 0.3757	LR: 0.020000
Training Epoch: 11 [7680/48750]	Loss: 0.3696	LR: 0.020000
Training Epoch: 11 [7936/48750]	Loss: 0.3424	LR: 0.020000
Training Epoch: 11 [8192/48750]	Loss: 0.2784	LR: 0.020000
Training Epoch: 11 [8448/48750]	Loss: 0.3720	LR: 0.020000
Training Epoch: 11 [8704/48750]	Loss: 0.3054	LR: 0.020000
Training Epoch: 11 [8960/48750]	Loss: 0.3184	LR: 0.020000
Training Epoch: 11 [9216/48750]	Loss: 0.3348	LR: 0.020000
Training Epoch: 11 [9472/48750]	Loss: 0.4078	LR: 0.020000
Training Epoch: 11 [9728/48750]	Loss: 0.3428	LR: 0.020000
Training Epoch: 11 [9984/48750]	Loss: 0.3053	LR: 0.020000
Training Epoch: 11 [10240/48750]	Loss: 0.3286	LR: 0.020000
Training Epoch: 11 [10496/48750]	Loss: 0.3938	LR: 0.020000
Training Epoch: 11 [10752/48750]	Loss: 0.3325	LR: 0.020000
Training Epoch: 11 [11008/48750]	Loss: 0.2959	LR: 0.020000
Training Epoch: 11 [11264/48750]	Loss: 0.3875	LR: 0.020000
Training Epoch: 11 [11520/48750]	Loss: 0.3667	LR: 0.020000
Training Epoch: 11 [11776/48750]	Loss: 0.3926	LR: 0.020000
Training Epoch: 11 [12032/48750]	Loss: 0.3166	LR: 0.020000
Training Epoch: 11 [12288/48750]	Loss: 0.2571	LR: 0.020000
Training Epoch: 11 [12544/48750]	Loss: 0.3979	LR: 0.020000
Training Epoch: 11 [12800/48750]	Loss: 0.3187	LR: 0.020000
Training Epoch: 11 [13056/48750]	Loss: 0.3157	LR: 0.020000
Training Epoch: 11 [13312/48750]	Loss: 0.4315	LR: 0.020000
Training Epoch: 11 [13568/48750]	Loss: 0.4069	LR: 0.020000
Training Epoch: 11 [13824/48750]	Loss: 0.4000	LR: 0.020000
Training Epoch: 11 [14080/48750]	Loss: 0.3121	LR: 0.020000
Training Epoch: 11 [14336/48750]	Loss: 0.3607	LR: 0.020000
Training Epoch: 11 [14592/48750]	Loss: 0.3302	LR: 0.020000
Training Epoch: 11 [14848/48750]	Loss: 0.3892	LR: 0.020000
Training Epoch: 11 [15104/48750]	Loss: 0.2779	LR: 0.020000
Training Epoch: 11 [15360/48750]	Loss: 0.3593	LR: 0.020000
Training Epoch: 11 [15616/48750]	Loss: 0.2972	LR: 0.020000
Training Epoch: 11 [15872/48750]	Loss: 0.3425	LR: 0.020000
Training Epoch: 11 [16128/48750]	Loss: 0.3680	LR: 0.020000
Training Epoch: 11 [16384/48750]	Loss: 0.3403	LR: 0.020000
Training Epoch: 11 [16640/48750]	Loss: 0.3898	LR: 0.020000
Training Epoch: 11 [16896/48750]	Loss: 0.3748	LR: 0.020000
Training Epoch: 11 [17152/48750]	Loss: 0.3603	LR: 0.020000
Training Epoch: 11 [17408/48750]	Loss: 0.4526	LR: 0.020000
Training Epoch: 11 [17664/48750]	Loss: 0.3192	LR: 0.020000
Training Epoch: 11 [17920/48750]	Loss: 0.3216	LR: 0.020000
Training Epoch: 11 [18176/48750]	Loss: 0.3006	LR: 0.020000
Training Epoch: 11 [18432/48750]	Loss: 0.4324	LR: 0.020000
Training Epoch: 11 [18688/48750]	Loss: 0.4006	LR: 0.020000
Training Epoch: 11 [18944/48750]	Loss: 0.2855	LR: 0.020000
Training Epoch: 11 [19200/48750]	Loss: 0.3791	LR: 0.020000
Training Epoch: 11 [19456/48750]	Loss: 0.3739	LR: 0.020000
Training Epoch: 11 [19712/48750]	Loss: 0.3020	LR: 0.020000
Training Epoch: 11 [19968/48750]	Loss: 0.3892	LR: 0.020000
Training Epoch: 11 [20224/48750]	Loss: 0.3606	LR: 0.020000
Training Epoch: 11 [20480/48750]	Loss: 0.3630	LR: 0.020000
Training Epoch: 11 [20736/48750]	Loss: 0.3679	LR: 0.020000
Training Epoch: 11 [20992/48750]	Loss: 0.2776	LR: 0.020000
Training Epoch: 11 [21248/48750]	Loss: 0.3252	LR: 0.020000
Training Epoch: 11 [21504/48750]	Loss: 0.3192	LR: 0.020000
Training Epoch: 11 [21760/48750]	Loss: 0.3864	LR: 0.020000
Training Epoch: 11 [22016/48750]	Loss: 0.3417	LR: 0.020000
Training Epoch: 11 [22272/48750]	Loss: 0.3999	LR: 0.020000
Training Epoch: 11 [22528/48750]	Loss: 0.3669	LR: 0.020000
Training Epoch: 11 [22784/48750]	Loss: 0.3484	LR: 0.020000
Training Epoch: 11 [23040/48750]	Loss: 0.4206	LR: 0.020000
Training Epoch: 11 [23296/48750]	Loss: 0.3325	LR: 0.020000
Training Epoch: 11 [23552/48750]	Loss: 0.3956	LR: 0.020000
Training Epoch: 11 [23808/48750]	Loss: 0.3576	LR: 0.020000
Training Epoch: 11 [24064/48750]	Loss: 0.3262	LR: 0.020000
Training Epoch: 11 [24320/48750]	Loss: 0.3489	LR: 0.020000
Training Epoch: 11 [24576/48750]	Loss: 0.2855	LR: 0.020000
Training Epoch: 11 [24832/48750]	Loss: 0.3553	LR: 0.020000
Training Epoch: 11 [25088/48750]	Loss: 0.3036	LR: 0.020000
Training Epoch: 11 [25344/48750]	Loss: 0.3727	LR: 0.020000
Training Epoch: 11 [25600/48750]	Loss: 0.3743	LR: 0.020000
Training Epoch: 11 [25856/48750]	Loss: 0.3330	LR: 0.020000
Training Epoch: 11 [26112/48750]	Loss: 0.4917	LR: 0.020000
Training Epoch: 11 [26368/48750]	Loss: 0.3988	LR: 0.020000
Training Epoch: 11 [26624/48750]	Loss: 0.3513	LR: 0.020000
Training Epoch: 11 [26880/48750]	Loss: 0.3661	LR: 0.020000
Training Epoch: 11 [27136/48750]	Loss: 0.3441	LR: 0.020000
Training Epoch: 11 [27392/48750]	Loss: 0.3389	LR: 0.020000
Training Epoch: 11 [27648/48750]	Loss: 0.3275	LR: 0.020000
Training Epoch: 11 [27904/48750]	Loss: 0.3088	LR: 0.020000
Training Epoch: 11 [28160/48750]	Loss: 0.2873	LR: 0.020000
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Training Epoch: 11 [30976/48750]	Loss: 0.4062	LR: 0.020000
Training Epoch: 11 [31232/48750]	Loss: 0.3891	LR: 0.020000
Training Epoch: 11 [31488/48750]	Loss: 0.2723	LR: 0.020000
Training Epoch: 11 [31744/48750]	Loss: 0.3954	LR: 0.020000
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Training Epoch: 11 [32256/48750]	Loss: 0.4585	LR: 0.020000
Training Epoch: 11 [32512/48750]	Loss: 0.3602	LR: 0.020000
Training Epoch: 11 [32768/48750]	Loss: 0.3374	LR: 0.020000
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Training Epoch: 11 [33536/48750]	Loss: 0.3767	LR: 0.020000
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Training Epoch: 11 [43776/48750]	Loss: 0.3215	LR: 0.020000
Training Epoch: 11 [44032/48750]	Loss: 0.4009	LR: 0.020000
Training Epoch: 11 [44288/48750]	Loss: 0.3506	LR: 0.020000
Training Epoch: 11 [44544/48750]	Loss: 0.4059	LR: 0.020000
Training Epoch: 11 [44800/48750]	Loss: 0.3779	LR: 0.020000
Training Epoch: 11 [45056/48750]	Loss: 0.3628	LR: 0.020000
Training Epoch: 11 [45312/48750]	Loss: 0.3705	LR: 0.020000
Training Epoch: 11 [45568/48750]	Loss: 0.3168	LR: 0.020000
Training Epoch: 11 [45824/48750]	Loss: 0.3025	LR: 0.020000
Training Epoch: 11 [46080/48750]	Loss: 0.4305	LR: 0.020000
Training Epoch: 11 [46336/48750]	Loss: 0.4628	LR: 0.020000
Training Epoch: 11 [46592/48750]	Loss: 0.3155	LR: 0.020000
Training Epoch: 11 [46848/48750]	Loss: 0.3833	LR: 0.020000
Training Epoch: 11 [47104/48750]	Loss: 0.3238	LR: 0.020000
Training Epoch: 11 [47360/48750]	Loss: 0.2937	LR: 0.020000
Training Epoch: 11 [47616/48750]	Loss: 0.3415	LR: 0.020000
Training Epoch: 11 [47872/48750]	Loss: 0.3608	LR: 0.020000
Training Epoch: 11 [48128/48750]	Loss: 0.3672	LR: 0.020000
Training Epoch: 11 [48384/48750]	Loss: 0.3726	LR: 0.020000
Training Epoch: 11 [48640/48750]	Loss: 0.3043	LR: 0.020000
Training Epoch: 11 [48750/48750]	Loss: 0.3001	LR: 0.020000
Epoch 11 - Average Train Loss: 0.3583, Train Accuracy: 0.8746
Epoch 11 training time consumed: 29.40s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0015, Accuracy: 0.8701, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_23h_39m_28s/ResNet18-Cifar10-seed9-ret75-11-best.pth
Training Epoch: 12 [256/48750]	Loss: 0.3672	LR: 0.004000
Training Epoch: 12 [512/48750]	Loss: 0.3157	LR: 0.004000
Training Epoch: 12 [768/48750]	Loss: 0.2826	LR: 0.004000
Training Epoch: 12 [1024/48750]	Loss: 0.4002	LR: 0.004000
Training Epoch: 12 [1280/48750]	Loss: 0.3746	LR: 0.004000
Training Epoch: 12 [1536/48750]	Loss: 0.3181	LR: 0.004000
Training Epoch: 12 [1792/48750]	Loss: 0.2988	LR: 0.004000
Training Epoch: 12 [2048/48750]	Loss: 0.3767	LR: 0.004000
Training Epoch: 12 [2304/48750]	Loss: 0.3644	LR: 0.004000
Training Epoch: 12 [2560/48750]	Loss: 0.2715	LR: 0.004000
Training Epoch: 12 [2816/48750]	Loss: 0.2944	LR: 0.004000
Training Epoch: 12 [3072/48750]	Loss: 0.2802	LR: 0.004000
Training Epoch: 12 [3328/48750]	Loss: 0.3692	LR: 0.004000
Training Epoch: 12 [3584/48750]	Loss: 0.3484	LR: 0.004000
Training Epoch: 12 [3840/48750]	Loss: 0.3181	LR: 0.004000
Training Epoch: 12 [4096/48750]	Loss: 0.3875	LR: 0.004000
Training Epoch: 12 [4352/48750]	Loss: 0.3037	LR: 0.004000
Training Epoch: 12 [4608/48750]	Loss: 0.3907	LR: 0.004000
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Training Epoch: 12 [5376/48750]	Loss: 0.3083	LR: 0.004000
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Training Epoch: 12 [11264/48750]	Loss: 0.3383	LR: 0.004000
Training Epoch: 12 [11520/48750]	Loss: 0.2608	LR: 0.004000
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Training Epoch: 12 [15616/48750]	Loss: 0.2728	LR: 0.004000
Training Epoch: 12 [15872/48750]	Loss: 0.3054	LR: 0.004000
Training Epoch: 12 [16128/48750]	Loss: 0.3570	LR: 0.004000
Training Epoch: 12 [16384/48750]	Loss: 0.3288	LR: 0.004000
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Training Epoch: 12 [27904/48750]	Loss: 0.3087	LR: 0.004000
Training Epoch: 12 [28160/48750]	Loss: 0.3659	LR: 0.004000
Training Epoch: 12 [28416/48750]	Loss: 0.2981	LR: 0.004000
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Training Epoch: 12 [28928/48750]	Loss: 0.2944	LR: 0.004000
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Training Epoch: 12 [29440/48750]	Loss: 0.2781	LR: 0.004000
Training Epoch: 12 [29696/48750]	Loss: 0.2968	LR: 0.004000
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Training Epoch: 12 [30976/48750]	Loss: 0.3067	LR: 0.004000
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Training Epoch: 12 [31488/48750]	Loss: 0.3243	LR: 0.004000
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Training Epoch: 12 [32512/48750]	Loss: 0.3747	LR: 0.004000
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Training Epoch: 12 [33024/48750]	Loss: 0.2783	LR: 0.004000
Training Epoch: 12 [33280/48750]	Loss: 0.2928	LR: 0.004000
Training Epoch: 12 [33536/48750]	Loss: 0.2563	LR: 0.004000
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Training Epoch: 12 [35840/48750]	Loss: 0.3275	LR: 0.004000
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Training Epoch: 12 [36352/48750]	Loss: 0.3227	LR: 0.004000
Training Epoch: 12 [36608/48750]	Loss: 0.2628	LR: 0.004000
Training Epoch: 12 [36864/48750]	Loss: 0.4017	LR: 0.004000
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Training Epoch: 12 [37376/48750]	Loss: 0.2692	LR: 0.004000
Training Epoch: 12 [37632/48750]	Loss: 0.3419	LR: 0.004000
Training Epoch: 12 [37888/48750]	Loss: 0.3319	LR: 0.004000
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Training Epoch: 12 [38400/48750]	Loss: 0.2952	LR: 0.004000
Training Epoch: 12 [38656/48750]	Loss: 0.3434	LR: 0.004000
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Training Epoch: 12 [40192/48750]	Loss: 0.2525	LR: 0.004000
Training Epoch: 12 [40448/48750]	Loss: 0.2871	LR: 0.004000
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Training Epoch: 12 [43264/48750]	Loss: 0.4843	LR: 0.004000
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Training Epoch: 12 [44800/48750]	Loss: 0.2710	LR: 0.004000
Training Epoch: 12 [45056/48750]	Loss: 0.3089	LR: 0.004000
Training Epoch: 12 [45312/48750]	Loss: 0.3505	LR: 0.004000
Training Epoch: 12 [45568/48750]	Loss: 0.3911	LR: 0.004000
Training Epoch: 12 [45824/48750]	Loss: 0.2608	LR: 0.004000
Training Epoch: 12 [46080/48750]	Loss: 0.3328	LR: 0.004000
Training Epoch: 12 [46336/48750]	Loss: 0.2557	LR: 0.004000
Training Epoch: 12 [46592/48750]	Loss: 0.2628	LR: 0.004000
Training Epoch: 12 [46848/48750]	Loss: 0.3117	LR: 0.004000
Training Epoch: 12 [47104/48750]	Loss: 0.3548	LR: 0.004000
Training Epoch: 12 [47360/48750]	Loss: 0.2614	LR: 0.004000
Training Epoch: 12 [47616/48750]	Loss: 0.2983	LR: 0.004000
Training Epoch: 12 [47872/48750]	Loss: 0.3159	LR: 0.004000
Training Epoch: 12 [48128/48750]	Loss: 0.2692	LR: 0.004000
Training Epoch: 12 [48384/48750]	Loss: 0.3830	LR: 0.004000
Training Epoch: 12 [48640/48750]	Loss: 0.2981	LR: 0.004000
Training Epoch: 12 [48750/48750]	Loss: 0.3533	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3140, Train Accuracy: 0.8919
Epoch 12 training time consumed: 29.85s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0013, Accuracy: 0.8845, Time consumed:1.02s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_23h_39m_28s/ResNet18-Cifar10-seed9-ret75-12-best.pth
Training Epoch: 13 [256/48750]	Loss: 0.2994	LR: 0.004000
Training Epoch: 13 [512/48750]	Loss: 0.3741	LR: 0.004000
Training Epoch: 13 [768/48750]	Loss: 0.3543	LR: 0.004000
Training Epoch: 13 [1024/48750]	Loss: 0.3201	LR: 0.004000
Training Epoch: 13 [1280/48750]	Loss: 0.2909	LR: 0.004000
Training Epoch: 13 [1536/48750]	Loss: 0.2386	LR: 0.004000
Training Epoch: 13 [1792/48750]	Loss: 0.3001	LR: 0.004000
Training Epoch: 13 [2048/48750]	Loss: 0.2924	LR: 0.004000
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Training Epoch: 13 [47872/48750]	Loss: 0.2639	LR: 0.004000
Training Epoch: 13 [48128/48750]	Loss: 0.2214	LR: 0.004000
Training Epoch: 13 [48384/48750]	Loss: 0.2871	LR: 0.004000
Training Epoch: 13 [48640/48750]	Loss: 0.3831	LR: 0.004000
Training Epoch: 13 [48750/48750]	Loss: 0.3246	LR: 0.004000
Epoch 13 - Average Train Loss: 0.2986, Train Accuracy: 0.8952
Epoch 13 training time consumed: 29.56s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0013, Accuracy: 0.8865, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_23h_39m_28s/ResNet18-Cifar10-seed9-ret75-13-best.pth
Training Epoch: 14 [256/48750]	Loss: 0.2575	LR: 0.004000
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Training Epoch: 14 [26112/48750]	Loss: 0.2660	LR: 0.004000
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Training Epoch: 14 [29952/48750]	Loss: 0.3005	LR: 0.004000
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Training Epoch: 14 [30976/48750]	Loss: 0.3160	LR: 0.004000
Training Epoch: 14 [31232/48750]	Loss: 0.3205	LR: 0.004000
Training Epoch: 14 [31488/48750]	Loss: 0.2746	LR: 0.004000
Training Epoch: 14 [31744/48750]	Loss: 0.2506	LR: 0.004000
Training Epoch: 14 [32000/48750]	Loss: 0.2596	LR: 0.004000
Training Epoch: 14 [32256/48750]	Loss: 0.2447	LR: 0.004000
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Training Epoch: 14 [32768/48750]	Loss: 0.2416	LR: 0.004000
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Training Epoch: 14 [33536/48750]	Loss: 0.3441	LR: 0.004000
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Training Epoch: 14 [36608/48750]	Loss: 0.2489	LR: 0.004000
Training Epoch: 14 [36864/48750]	Loss: 0.3501	LR: 0.004000
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Training Epoch: 14 [44032/48750]	Loss: 0.3173	LR: 0.004000
Training Epoch: 14 [44288/48750]	Loss: 0.2719	LR: 0.004000
Training Epoch: 14 [44544/48750]	Loss: 0.2756	LR: 0.004000
Training Epoch: 14 [44800/48750]	Loss: 0.2504	LR: 0.004000
Training Epoch: 14 [45056/48750]	Loss: 0.2811	LR: 0.004000
Training Epoch: 14 [45312/48750]	Loss: 0.3135	LR: 0.004000
Training Epoch: 14 [45568/48750]	Loss: 0.3379	LR: 0.004000
Training Epoch: 14 [45824/48750]	Loss: 0.1912	LR: 0.004000
Training Epoch: 14 [46080/48750]	Loss: 0.3422	LR: 0.004000
Training Epoch: 14 [46336/48750]	Loss: 0.2332	LR: 0.004000
Training Epoch: 14 [46592/48750]	Loss: 0.2945	LR: 0.004000
Training Epoch: 14 [46848/48750]	Loss: 0.2547	LR: 0.004000
Training Epoch: 14 [47104/48750]	Loss: 0.3475	LR: 0.004000
Training Epoch: 14 [47360/48750]	Loss: 0.3029	LR: 0.004000
Training Epoch: 14 [47616/48750]	Loss: 0.3462	LR: 0.004000
Training Epoch: 14 [47872/48750]	Loss: 0.2796	LR: 0.004000
Training Epoch: 14 [48128/48750]	Loss: 0.2878	LR: 0.004000
Training Epoch: 14 [48384/48750]	Loss: 0.3828	LR: 0.004000
Training Epoch: 14 [48640/48750]	Loss: 0.2628	LR: 0.004000
Training Epoch: 14 [48750/48750]	Loss: 0.2686	LR: 0.004000
Epoch 14 - Average Train Loss: 0.2870, Train Accuracy: 0.9000
Epoch 14 training time consumed: 29.63s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0013, Accuracy: 0.8865, Time consumed:1.00s
Training Epoch: 15 [256/48750]	Loss: 0.3719	LR: 0.004000
Training Epoch: 15 [512/48750]	Loss: 0.2287	LR: 0.004000
Training Epoch: 15 [768/48750]	Loss: 0.2188	LR: 0.004000
Training Epoch: 15 [1024/48750]	Loss: 0.2852	LR: 0.004000
Training Epoch: 15 [1280/48750]	Loss: 0.2636	LR: 0.004000
Training Epoch: 15 [1536/48750]	Loss: 0.3205	LR: 0.004000
Training Epoch: 15 [1792/48750]	Loss: 0.2541	LR: 0.004000
Training Epoch: 15 [2048/48750]	Loss: 0.2581	LR: 0.004000
Training Epoch: 15 [2304/48750]	Loss: 0.3009	LR: 0.004000
Training Epoch: 15 [2560/48750]	Loss: 0.2858	LR: 0.004000
Training Epoch: 15 [2816/48750]	Loss: 0.2000	LR: 0.004000
Training Epoch: 15 [3072/48750]	Loss: 0.2578	LR: 0.004000
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Training Epoch: 15 [3840/48750]	Loss: 0.2338	LR: 0.004000
Training Epoch: 15 [4096/48750]	Loss: 0.2821	LR: 0.004000
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Training Epoch: 15 [5120/48750]	Loss: 0.3197	LR: 0.004000
Training Epoch: 15 [5376/48750]	Loss: 0.2241	LR: 0.004000
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Training Epoch: 15 [5888/48750]	Loss: 0.2246	LR: 0.004000
Training Epoch: 15 [6144/48750]	Loss: 0.3136	LR: 0.004000
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Training Epoch: 15 [8448/48750]	Loss: 0.3031	LR: 0.004000
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Training Epoch: 15 [12288/48750]	Loss: 0.3483	LR: 0.004000
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Training Epoch: 15 [26112/48750]	Loss: 0.3151	LR: 0.004000
Training Epoch: 15 [26368/48750]	Loss: 0.2304	LR: 0.004000
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Training Epoch: 15 [28160/48750]	Loss: 0.2904	LR: 0.004000
Training Epoch: 15 [28416/48750]	Loss: 0.2621	LR: 0.004000
Training Epoch: 15 [28672/48750]	Loss: 0.3065	LR: 0.004000
Training Epoch: 15 [28928/48750]	Loss: 0.2751	LR: 0.004000
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Training Epoch: 15 [46336/48750]	Loss: 0.2825	LR: 0.004000
Training Epoch: 15 [46592/48750]	Loss: 0.2948	LR: 0.004000
Training Epoch: 15 [46848/48750]	Loss: 0.2204	LR: 0.004000
Training Epoch: 15 [47104/48750]	Loss: 0.2586	LR: 0.004000
Training Epoch: 15 [47360/48750]	Loss: 0.2843	LR: 0.004000
Training Epoch: 15 [47616/48750]	Loss: 0.2628	LR: 0.004000
Training Epoch: 15 [47872/48750]	Loss: 0.3206	LR: 0.004000
Training Epoch: 15 [48128/48750]	Loss: 0.3142	LR: 0.004000
Training Epoch: 15 [48384/48750]	Loss: 0.2721	LR: 0.004000
Training Epoch: 15 [48640/48750]	Loss: 0.2515	LR: 0.004000
Training Epoch: 15 [48750/48750]	Loss: 0.2136	LR: 0.004000
Epoch 15 - Average Train Loss: 0.2826, Train Accuracy: 0.9007
Epoch 15 training time consumed: 29.67s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0013, Accuracy: 0.8889, Time consumed:0.99s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_23h_39m_28s/ResNet18-Cifar10-seed9-ret75-15-best.pth
Training Epoch: 16 [256/48750]	Loss: 0.3007	LR: 0.000800
Training Epoch: 16 [512/48750]	Loss: 0.3602	LR: 0.000800
Training Epoch: 16 [768/48750]	Loss: 0.3091	LR: 0.000800
Training Epoch: 16 [1024/48750]	Loss: 0.2763	LR: 0.000800
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Training Epoch: 16 [22016/48750]	Loss: 0.3763	LR: 0.000800
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Training Epoch: 16 [46080/48750]	Loss: 0.3752	LR: 0.000800
Training Epoch: 16 [46336/48750]	Loss: 0.3104	LR: 0.000800
Training Epoch: 16 [46592/48750]	Loss: 0.3057	LR: 0.000800
Training Epoch: 16 [46848/48750]	Loss: 0.2840	LR: 0.000800
Training Epoch: 16 [47104/48750]	Loss: 0.2709	LR: 0.000800
Training Epoch: 16 [47360/48750]	Loss: 0.2330	LR: 0.000800
Training Epoch: 16 [47616/48750]	Loss: 0.2394	LR: 0.000800
Training Epoch: 16 [47872/48750]	Loss: 0.2081	LR: 0.000800
Training Epoch: 16 [48128/48750]	Loss: 0.2463	LR: 0.000800
Training Epoch: 16 [48384/48750]	Loss: 0.2701	LR: 0.000800
Training Epoch: 16 [48640/48750]	Loss: 0.2150	LR: 0.000800
Training Epoch: 16 [48750/48750]	Loss: 0.2178	LR: 0.000800
Epoch 16 - Average Train Loss: 0.2714, Train Accuracy: 0.9059
Epoch 16 training time consumed: 29.58s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0013, Accuracy: 0.8900, Time consumed:0.98s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_23h_39m_28s/ResNet18-Cifar10-seed9-ret75-16-best.pth
Training Epoch: 17 [256/48750]	Loss: 0.2360	LR: 0.000800
Training Epoch: 17 [512/48750]	Loss: 0.2985	LR: 0.000800
Training Epoch: 17 [768/48750]	Loss: 0.2926	LR: 0.000800
Training Epoch: 17 [1024/48750]	Loss: 0.3154	LR: 0.000800
Training Epoch: 17 [1280/48750]	Loss: 0.2098	LR: 0.000800
Training Epoch: 17 [1536/48750]	Loss: 0.2752	LR: 0.000800
Training Epoch: 17 [1792/48750]	Loss: 0.2646	LR: 0.000800
Training Epoch: 17 [2048/48750]	Loss: 0.2504	LR: 0.000800
Training Epoch: 17 [2304/48750]	Loss: 0.2237	LR: 0.000800
Training Epoch: 17 [2560/48750]	Loss: 0.2077	LR: 0.000800
Training Epoch: 17 [2816/48750]	Loss: 0.3760	LR: 0.000800
Training Epoch: 17 [3072/48750]	Loss: 0.2159	LR: 0.000800
Training Epoch: 17 [3328/48750]	Loss: 0.2059	LR: 0.000800
Training Epoch: 17 [3584/48750]	Loss: 0.2937	LR: 0.000800
Training Epoch: 17 [3840/48750]	Loss: 0.2443	LR: 0.000800
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Training Epoch: 17 [4608/48750]	Loss: 0.2256	LR: 0.000800
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Training Epoch: 17 [5120/48750]	Loss: 0.2342	LR: 0.000800
Training Epoch: 17 [5376/48750]	Loss: 0.3511	LR: 0.000800
Training Epoch: 17 [5632/48750]	Loss: 0.2620	LR: 0.000800
Training Epoch: 17 [5888/48750]	Loss: 0.2445	LR: 0.000800
Training Epoch: 17 [6144/48750]	Loss: 0.2331	LR: 0.000800
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Training Epoch: 17 [6656/48750]	Loss: 0.2423	LR: 0.000800
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Training Epoch: 17 [7168/48750]	Loss: 0.2814	LR: 0.000800
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Training Epoch: 17 [10496/48750]	Loss: 0.2081	LR: 0.000800
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Training Epoch: 17 [11008/48750]	Loss: 0.1824	LR: 0.000800
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Training Epoch: 17 [12032/48750]	Loss: 0.3211	LR: 0.000800
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Training Epoch: 17 [25088/48750]	Loss: 0.2816	LR: 0.000800
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Training Epoch: 17 [25600/48750]	Loss: 0.3000	LR: 0.000800
Training Epoch: 17 [25856/48750]	Loss: 0.2768	LR: 0.000800
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Training Epoch: 17 [26368/48750]	Loss: 0.3216	LR: 0.000800
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Training Epoch: 17 [28160/48750]	Loss: 0.2217	LR: 0.000800
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Training Epoch: 17 [29184/48750]	Loss: 0.2658	LR: 0.000800
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Training Epoch: 17 [30208/48750]	Loss: 0.3319	LR: 0.000800
Training Epoch: 17 [30464/48750]	Loss: 0.2850	LR: 0.000800
Training Epoch: 17 [30720/48750]	Loss: 0.2726	LR: 0.000800
Training Epoch: 17 [30976/48750]	Loss: 0.2497	LR: 0.000800
Training Epoch: 17 [31232/48750]	Loss: 0.2930	LR: 0.000800
Training Epoch: 17 [31488/48750]	Loss: 0.2819	LR: 0.000800
Training Epoch: 17 [31744/48750]	Loss: 0.2405	LR: 0.000800
Training Epoch: 17 [32000/48750]	Loss: 0.2871	LR: 0.000800
Training Epoch: 17 [32256/48750]	Loss: 0.2134	LR: 0.000800
Training Epoch: 17 [32512/48750]	Loss: 0.2813	LR: 0.000800
Training Epoch: 17 [32768/48750]	Loss: 0.2400	LR: 0.000800
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Training Epoch: 17 [33536/48750]	Loss: 0.2201	LR: 0.000800
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Training Epoch: 17 [36352/48750]	Loss: 0.3662	LR: 0.000800
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Training Epoch: 17 [37120/48750]	Loss: 0.3358	LR: 0.000800
Training Epoch: 17 [37376/48750]	Loss: 0.2760	LR: 0.000800
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Training Epoch: 17 [40448/48750]	Loss: 0.2338	LR: 0.000800
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Training Epoch: 17 [40960/48750]	Loss: 0.2211	LR: 0.000800
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Training Epoch: 17 [42240/48750]	Loss: 0.2717	LR: 0.000800
Training Epoch: 17 [42496/48750]	Loss: 0.3000	LR: 0.000800
Training Epoch: 17 [42752/48750]	Loss: 0.1854	LR: 0.000800
Training Epoch: 17 [43008/48750]	Loss: 0.2812	LR: 0.000800
Training Epoch: 17 [43264/48750]	Loss: 0.2130	LR: 0.000800
Training Epoch: 17 [43520/48750]	Loss: 0.2650	LR: 0.000800
Training Epoch: 17 [43776/48750]	Loss: 0.2423	LR: 0.000800
Training Epoch: 17 [44032/48750]	Loss: 0.2370	LR: 0.000800
Training Epoch: 17 [44288/48750]	Loss: 0.2193	LR: 0.000800
Training Epoch: 17 [44544/48750]	Loss: 0.2974	LR: 0.000800
Training Epoch: 17 [44800/48750]	Loss: 0.2976	LR: 0.000800
Training Epoch: 17 [45056/48750]	Loss: 0.2027	LR: 0.000800
Training Epoch: 17 [45312/48750]	Loss: 0.2126	LR: 0.000800
Training Epoch: 17 [45568/48750]	Loss: 0.2149	LR: 0.000800
Training Epoch: 17 [45824/48750]	Loss: 0.3079	LR: 0.000800
Training Epoch: 17 [46080/48750]	Loss: 0.3133	LR: 0.000800
Training Epoch: 17 [46336/48750]	Loss: 0.2860	LR: 0.000800
Training Epoch: 17 [46592/48750]	Loss: 0.3334	LR: 0.000800
Training Epoch: 17 [46848/48750]	Loss: 0.2913	LR: 0.000800
Training Epoch: 17 [47104/48750]	Loss: 0.2926	LR: 0.000800
Training Epoch: 17 [47360/48750]	Loss: 0.3296	LR: 0.000800
Training Epoch: 17 [47616/48750]	Loss: 0.2697	LR: 0.000800
Training Epoch: 17 [47872/48750]	Loss: 0.2528	LR: 0.000800
Training Epoch: 17 [48128/48750]	Loss: 0.2847	LR: 0.000800
Training Epoch: 17 [48384/48750]	Loss: 0.2630	LR: 0.000800
Training Epoch: 17 [48640/48750]	Loss: 0.3475	LR: 0.000800
Training Epoch: 17 [48750/48750]	Loss: 0.2897	LR: 0.000800
Epoch 17 - Average Train Loss: 0.2687, Train Accuracy: 0.9059
Epoch 17 training time consumed: 29.54s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0013, Accuracy: 0.8909, Time consumed:1.05s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_23h_39m_28s/ResNet18-Cifar10-seed9-ret75-17-best.pth
Training Epoch: 18 [256/48750]	Loss: 0.3216	LR: 0.000800
Training Epoch: 18 [512/48750]	Loss: 0.3362	LR: 0.000800
Training Epoch: 18 [768/48750]	Loss: 0.2215	LR: 0.000800
Training Epoch: 18 [1024/48750]	Loss: 0.2441	LR: 0.000800
Training Epoch: 18 [1280/48750]	Loss: 0.2257	LR: 0.000800
Training Epoch: 18 [1536/48750]	Loss: 0.2088	LR: 0.000800
Training Epoch: 18 [1792/48750]	Loss: 0.2945	LR: 0.000800
Training Epoch: 18 [2048/48750]	Loss: 0.2067	LR: 0.000800
Training Epoch: 18 [2304/48750]	Loss: 0.2533	LR: 0.000800
Training Epoch: 18 [2560/48750]	Loss: 0.2472	LR: 0.000800
Training Epoch: 18 [2816/48750]	Loss: 0.3012	LR: 0.000800
Training Epoch: 18 [3072/48750]	Loss: 0.2641	LR: 0.000800
Training Epoch: 18 [3328/48750]	Loss: 0.2384	LR: 0.000800
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Training Epoch: 18 [3840/48750]	Loss: 0.2858	LR: 0.000800
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Training Epoch: 18 [4352/48750]	Loss: 0.2138	LR: 0.000800
Training Epoch: 18 [4608/48750]	Loss: 0.2101	LR: 0.000800
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Training Epoch: 18 [5376/48750]	Loss: 0.3023	LR: 0.000800
Training Epoch: 18 [5632/48750]	Loss: 0.2762	LR: 0.000800
Training Epoch: 18 [5888/48750]	Loss: 0.2040	LR: 0.000800
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Training Epoch: 18 [7168/48750]	Loss: 0.2834	LR: 0.000800
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Training Epoch: 18 [7936/48750]	Loss: 0.2535	LR: 0.000800
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Training Epoch: 18 [8448/48750]	Loss: 0.2629	LR: 0.000800
Training Epoch: 18 [8704/48750]	Loss: 0.3301	LR: 0.000800
Training Epoch: 18 [8960/48750]	Loss: 0.3062	LR: 0.000800
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Training Epoch: 18 [9472/48750]	Loss: 0.2730	LR: 0.000800
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Training Epoch: 18 [9984/48750]	Loss: 0.2481	LR: 0.000800
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Training Epoch: 18 [11008/48750]	Loss: 0.3223	LR: 0.000800
Training Epoch: 18 [11264/48750]	Loss: 0.2662	LR: 0.000800
Training Epoch: 18 [11520/48750]	Loss: 0.2957	LR: 0.000800
Training Epoch: 18 [11776/48750]	Loss: 0.2349	LR: 0.000800
Training Epoch: 18 [12032/48750]	Loss: 0.3169	LR: 0.000800
Training Epoch: 18 [12288/48750]	Loss: 0.3254	LR: 0.000800
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Training Epoch: 18 [13568/48750]	Loss: 0.3345	LR: 0.000800
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Training Epoch: 18 [15360/48750]	Loss: 0.2812	LR: 0.000800
Training Epoch: 18 [15616/48750]	Loss: 0.2478	LR: 0.000800
Training Epoch: 18 [15872/48750]	Loss: 0.3538	LR: 0.000800
Training Epoch: 18 [16128/48750]	Loss: 0.2593	LR: 0.000800
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Training Epoch: 18 [16640/48750]	Loss: 0.3081	LR: 0.000800
Training Epoch: 18 [16896/48750]	Loss: 0.2227	LR: 0.000800
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Training Epoch: 18 [22016/48750]	Loss: 0.3203	LR: 0.000800
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Training Epoch: 18 [25088/48750]	Loss: 0.1885	LR: 0.000800
Training Epoch: 18 [25344/48750]	Loss: 0.2810	LR: 0.000800
Training Epoch: 18 [25600/48750]	Loss: 0.2721	LR: 0.000800
Training Epoch: 18 [25856/48750]	Loss: 0.3162	LR: 0.000800
Training Epoch: 18 [26112/48750]	Loss: 0.2741	LR: 0.000800
Training Epoch: 18 [26368/48750]	Loss: 0.2220	LR: 0.000800
Training Epoch: 18 [26624/48750]	Loss: 0.2128	LR: 0.000800
Training Epoch: 18 [26880/48750]	Loss: 0.2277	LR: 0.000800
Training Epoch: 18 [27136/48750]	Loss: 0.2420	LR: 0.000800
Training Epoch: 18 [27392/48750]	Loss: 0.2580	LR: 0.000800
Training Epoch: 18 [27648/48750]	Loss: 0.2274	LR: 0.000800
Training Epoch: 18 [27904/48750]	Loss: 0.2856	LR: 0.000800
Training Epoch: 18 [28160/48750]	Loss: 0.2996	LR: 0.000800
Training Epoch: 18 [28416/48750]	Loss: 0.3374	LR: 0.000800
Training Epoch: 18 [28672/48750]	Loss: 0.2577	LR: 0.000800
Training Epoch: 18 [28928/48750]	Loss: 0.2987	LR: 0.000800
Training Epoch: 18 [29184/48750]	Loss: 0.3174	LR: 0.000800
Training Epoch: 18 [29440/48750]	Loss: 0.2915	LR: 0.000800
Training Epoch: 18 [29696/48750]	Loss: 0.2218	LR: 0.000800
Training Epoch: 18 [29952/48750]	Loss: 0.2189	LR: 0.000800
Training Epoch: 18 [30208/48750]	Loss: 0.2198	LR: 0.000800
Training Epoch: 18 [30464/48750]	Loss: 0.2265	LR: 0.000800
Training Epoch: 18 [30720/48750]	Loss: 0.2105	LR: 0.000800
Training Epoch: 18 [30976/48750]	Loss: 0.3138	LR: 0.000800
Training Epoch: 18 [31232/48750]	Loss: 0.3148	LR: 0.000800
Training Epoch: 18 [31488/48750]	Loss: 0.2549	LR: 0.000800
Training Epoch: 18 [31744/48750]	Loss: 0.2818	LR: 0.000800
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Training Epoch: 18 [32256/48750]	Loss: 0.2819	LR: 0.000800
Training Epoch: 18 [32512/48750]	Loss: 0.2648	LR: 0.000800
Training Epoch: 18 [32768/48750]	Loss: 0.2625	LR: 0.000800
Training Epoch: 18 [33024/48750]	Loss: 0.2474	LR: 0.000800
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Training Epoch: 18 [35328/48750]	Loss: 0.3407	LR: 0.000800
Training Epoch: 18 [35584/48750]	Loss: 0.2939	LR: 0.000800
Training Epoch: 18 [35840/48750]	Loss: 0.2134	LR: 0.000800
Training Epoch: 18 [36096/48750]	Loss: 0.2774	LR: 0.000800
Training Epoch: 18 [36352/48750]	Loss: 0.3100	LR: 0.000800
Training Epoch: 18 [36608/48750]	Loss: 0.3160	LR: 0.000800
Training Epoch: 18 [36864/48750]	Loss: 0.3051	LR: 0.000800
Training Epoch: 18 [37120/48750]	Loss: 0.1940	LR: 0.000800
Training Epoch: 18 [37376/48750]	Loss: 0.2019	LR: 0.000800
Training Epoch: 18 [37632/48750]	Loss: 0.2927	LR: 0.000800
Training Epoch: 18 [37888/48750]	Loss: 0.2228	LR: 0.000800
Training Epoch: 18 [38144/48750]	Loss: 0.3240	LR: 0.000800
Training Epoch: 18 [38400/48750]	Loss: 0.2560	LR: 0.000800
Training Epoch: 18 [38656/48750]	Loss: 0.1838	LR: 0.000800
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Training Epoch: 18 [39424/48750]	Loss: 0.2278	LR: 0.000800
Training Epoch: 18 [39680/48750]	Loss: 0.3000	LR: 0.000800
Training Epoch: 18 [39936/48750]	Loss: 0.3184	LR: 0.000800
Training Epoch: 18 [40192/48750]	Loss: 0.1931	LR: 0.000800
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Training Epoch: 18 [42240/48750]	Loss: 0.3125	LR: 0.000800
Training Epoch: 18 [42496/48750]	Loss: 0.2311	LR: 0.000800
Training Epoch: 18 [42752/48750]	Loss: 0.3016	LR: 0.000800
Training Epoch: 18 [43008/48750]	Loss: 0.3486	LR: 0.000800
Training Epoch: 18 [43264/48750]	Loss: 0.2945	LR: 0.000800
Training Epoch: 18 [43520/48750]	Loss: 0.2296	LR: 0.000800
Training Epoch: 18 [43776/48750]	Loss: 0.2678	LR: 0.000800
Training Epoch: 18 [44032/48750]	Loss: 0.2261	LR: 0.000800
Training Epoch: 18 [44288/48750]	Loss: 0.2732	LR: 0.000800
Training Epoch: 18 [44544/48750]	Loss: 0.2033	LR: 0.000800
Training Epoch: 18 [44800/48750]	Loss: 0.1890	LR: 0.000800
Training Epoch: 18 [45056/48750]	Loss: 0.2763	LR: 0.000800
Training Epoch: 18 [45312/48750]	Loss: 0.2848	LR: 0.000800
Training Epoch: 18 [45568/48750]	Loss: 0.2552	LR: 0.000800
Training Epoch: 18 [45824/48750]	Loss: 0.2989	LR: 0.000800
Training Epoch: 18 [46080/48750]	Loss: 0.2735	LR: 0.000800
Training Epoch: 18 [46336/48750]	Loss: 0.2028	LR: 0.000800
Training Epoch: 18 [46592/48750]	Loss: 0.2734	LR: 0.000800
Training Epoch: 18 [46848/48750]	Loss: 0.2115	LR: 0.000800
Training Epoch: 18 [47104/48750]	Loss: 0.1928	LR: 0.000800
Training Epoch: 18 [47360/48750]	Loss: 0.3017	LR: 0.000800
Training Epoch: 18 [47616/48750]	Loss: 0.2717	LR: 0.000800
Training Epoch: 18 [47872/48750]	Loss: 0.2268	LR: 0.000800
Training Epoch: 18 [48128/48750]	Loss: 0.2376	LR: 0.000800
Training Epoch: 18 [48384/48750]	Loss: 0.2545	LR: 0.000800
Training Epoch: 18 [48640/48750]	Loss: 0.2968	LR: 0.000800
Training Epoch: 18 [48750/48750]	Loss: 0.2430	LR: 0.000800
Epoch 18 - Average Train Loss: 0.2659, Train Accuracy: 0.9077
Epoch 18 training time consumed: 29.52s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0013, Accuracy: 0.8922, Time consumed:0.98s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_23h_39m_28s/ResNet18-Cifar10-seed9-ret75-18-best.pth
Training Epoch: 19 [256/48750]	Loss: 0.2560	LR: 0.000800
Training Epoch: 19 [512/48750]	Loss: 0.3333	LR: 0.000800
Training Epoch: 19 [768/48750]	Loss: 0.2347	LR: 0.000800
Training Epoch: 19 [1024/48750]	Loss: 0.1698	LR: 0.000800
Training Epoch: 19 [1280/48750]	Loss: 0.2601	LR: 0.000800
Training Epoch: 19 [1536/48750]	Loss: 0.2863	LR: 0.000800
Training Epoch: 19 [1792/48750]	Loss: 0.2866	LR: 0.000800
Training Epoch: 19 [2048/48750]	Loss: 0.3984	LR: 0.000800
Training Epoch: 19 [2304/48750]	Loss: 0.1999	LR: 0.000800
Training Epoch: 19 [2560/48750]	Loss: 0.2737	LR: 0.000800
Training Epoch: 19 [2816/48750]	Loss: 0.2851	LR: 0.000800
Training Epoch: 19 [3072/48750]	Loss: 0.2226	LR: 0.000800
Training Epoch: 19 [3328/48750]	Loss: 0.2581	LR: 0.000800
Training Epoch: 19 [3584/48750]	Loss: 0.2794	LR: 0.000800
Training Epoch: 19 [3840/48750]	Loss: 0.2305	LR: 0.000800
Training Epoch: 19 [4096/48750]	Loss: 0.2816	LR: 0.000800
Training Epoch: 19 [4352/48750]	Loss: 0.2767	LR: 0.000800
Training Epoch: 19 [4608/48750]	Loss: 0.2057	LR: 0.000800
Training Epoch: 19 [4864/48750]	Loss: 0.2900	LR: 0.000800
Training Epoch: 19 [5120/48750]	Loss: 0.2593	LR: 0.000800
Training Epoch: 19 [5376/48750]	Loss: 0.2575	LR: 0.000800
Training Epoch: 19 [5632/48750]	Loss: 0.3239	LR: 0.000800
Training Epoch: 19 [5888/48750]	Loss: 0.2508	LR: 0.000800
Training Epoch: 19 [6144/48750]	Loss: 0.2301	LR: 0.000800
Training Epoch: 19 [6400/48750]	Loss: 0.2454	LR: 0.000800
Training Epoch: 19 [6656/48750]	Loss: 0.2634	LR: 0.000800
Training Epoch: 19 [6912/48750]	Loss: 0.2325	LR: 0.000800
Training Epoch: 19 [7168/48750]	Loss: 0.2647	LR: 0.000800
Training Epoch: 19 [7424/48750]	Loss: 0.2351	LR: 0.000800
Training Epoch: 19 [7680/48750]	Loss: 0.2506	LR: 0.000800
Training Epoch: 19 [7936/48750]	Loss: 0.2819	LR: 0.000800
Training Epoch: 19 [8192/48750]	Loss: 0.2435	LR: 0.000800
Training Epoch: 19 [8448/48750]	Loss: 0.2796	LR: 0.000800
Training Epoch: 19 [8704/48750]	Loss: 0.2080	LR: 0.000800
Training Epoch: 19 [8960/48750]	Loss: 0.2129	LR: 0.000800
Training Epoch: 19 [9216/48750]	Loss: 0.2008	LR: 0.000800
Training Epoch: 19 [9472/48750]	Loss: 0.2846	LR: 0.000800
Training Epoch: 19 [9728/48750]	Loss: 0.2503	LR: 0.000800
Training Epoch: 19 [9984/48750]	Loss: 0.2755	LR: 0.000800
Training Epoch: 19 [10240/48750]	Loss: 0.2979	LR: 0.000800
Training Epoch: 19 [10496/48750]	Loss: 0.2832	LR: 0.000800
Training Epoch: 19 [10752/48750]	Loss: 0.2879	LR: 0.000800
Training Epoch: 19 [11008/48750]	Loss: 0.2929	LR: 0.000800
Training Epoch: 19 [11264/48750]	Loss: 0.2203	LR: 0.000800
Training Epoch: 19 [11520/48750]	Loss: 0.2239	LR: 0.000800
Training Epoch: 19 [11776/48750]	Loss: 0.2917	LR: 0.000800
Training Epoch: 19 [12032/48750]	Loss: 0.2729	LR: 0.000800
Training Epoch: 19 [12288/48750]	Loss: 0.2276	LR: 0.000800
Training Epoch: 19 [12544/48750]	Loss: 0.3351	LR: 0.000800
Training Epoch: 19 [12800/48750]	Loss: 0.2643	LR: 0.000800
Training Epoch: 19 [13056/48750]	Loss: 0.2305	LR: 0.000800
Training Epoch: 19 [13312/48750]	Loss: 0.2986	LR: 0.000800
Training Epoch: 19 [13568/48750]	Loss: 0.2561	LR: 0.000800
Training Epoch: 19 [13824/48750]	Loss: 0.2470	LR: 0.000800
Training Epoch: 19 [14080/48750]	Loss: 0.2425	LR: 0.000800
Training Epoch: 19 [14336/48750]	Loss: 0.3519	LR: 0.000800
Training Epoch: 19 [14592/48750]	Loss: 0.1925	LR: 0.000800
Training Epoch: 19 [14848/48750]	Loss: 0.2495	LR: 0.000800
Training Epoch: 19 [15104/48750]	Loss: 0.2855	LR: 0.000800
Training Epoch: 19 [15360/48750]	Loss: 0.2520	LR: 0.000800
Training Epoch: 19 [15616/48750]	Loss: 0.2426	LR: 0.000800
Training Epoch: 19 [15872/48750]	Loss: 0.2634	LR: 0.000800
Training Epoch: 19 [16128/48750]	Loss: 0.3300	LR: 0.000800
Training Epoch: 19 [16384/48750]	Loss: 0.2635	LR: 0.000800
Training Epoch: 19 [16640/48750]	Loss: 0.2569	LR: 0.000800
Training Epoch: 19 [16896/48750]	Loss: 0.3116	LR: 0.000800
Training Epoch: 19 [17152/48750]	Loss: 0.2424	LR: 0.000800
Training Epoch: 19 [17408/48750]	Loss: 0.2117	LR: 0.000800
Training Epoch: 19 [17664/48750]	Loss: 0.2246	LR: 0.000800
Training Epoch: 19 [17920/48750]	Loss: 0.2921	LR: 0.000800
Training Epoch: 19 [18176/48750]	Loss: 0.2418	LR: 0.000800
Training Epoch: 19 [18432/48750]	Loss: 0.2551	LR: 0.000800
Training Epoch: 19 [18688/48750]	Loss: 0.2762	LR: 0.000800
Training Epoch: 19 [18944/48750]	Loss: 0.2222	LR: 0.000800
Training Epoch: 19 [19200/48750]	Loss: 0.2327	LR: 0.000800
Training Epoch: 19 [19456/48750]	Loss: 0.2452	LR: 0.000800
Training Epoch: 19 [19712/48750]	Loss: 0.2170	LR: 0.000800
Training Epoch: 19 [19968/48750]	Loss: 0.2760	LR: 0.000800
Training Epoch: 19 [20224/48750]	Loss: 0.1959	LR: 0.000800
Training Epoch: 19 [20480/48750]	Loss: 0.3055	LR: 0.000800
Training Epoch: 19 [20736/48750]	Loss: 0.3431	LR: 0.000800
Training Epoch: 19 [20992/48750]	Loss: 0.2993	LR: 0.000800
Training Epoch: 19 [21248/48750]	Loss: 0.2622	LR: 0.000800
Training Epoch: 19 [21504/48750]	Loss: 0.2727	LR: 0.000800
Training Epoch: 19 [21760/48750]	Loss: 0.2568	LR: 0.000800
Training Epoch: 19 [22016/48750]	Loss: 0.3009	LR: 0.000800
Training Epoch: 19 [22272/48750]	Loss: 0.2810	LR: 0.000800
Training Epoch: 19 [22528/48750]	Loss: 0.2273	LR: 0.000800
Training Epoch: 19 [22784/48750]	Loss: 0.2114	LR: 0.000800
Training Epoch: 19 [23040/48750]	Loss: 0.2496	LR: 0.000800
Training Epoch: 19 [23296/48750]	Loss: 0.2615	LR: 0.000800
Training Epoch: 19 [23552/48750]	Loss: 0.3357	LR: 0.000800
Training Epoch: 19 [23808/48750]	Loss: 0.2336	LR: 0.000800
Training Epoch: 19 [24064/48750]	Loss: 0.2982	LR: 0.000800
Training Epoch: 19 [24320/48750]	Loss: 0.2042	LR: 0.000800
Training Epoch: 19 [24576/48750]	Loss: 0.2787	LR: 0.000800
Training Epoch: 19 [24832/48750]	Loss: 0.3030	LR: 0.000800
Training Epoch: 19 [25088/48750]	Loss: 0.3297	LR: 0.000800
Training Epoch: 19 [25344/48750]	Loss: 0.2290	LR: 0.000800
Training Epoch: 19 [25600/48750]	Loss: 0.2449	LR: 0.000800
Training Epoch: 19 [25856/48750]	Loss: 0.3112	LR: 0.000800
Training Epoch: 19 [26112/48750]	Loss: 0.2520	LR: 0.000800
Training Epoch: 19 [26368/48750]	Loss: 0.2930	LR: 0.000800
Training Epoch: 19 [26624/48750]	Loss: 0.2851	LR: 0.000800
Training Epoch: 19 [26880/48750]	Loss: 0.2431	LR: 0.000800
Training Epoch: 19 [27136/48750]	Loss: 0.2344	LR: 0.000800
Training Epoch: 19 [27392/48750]	Loss: 0.3104	LR: 0.000800
Training Epoch: 19 [27648/48750]	Loss: 0.2320	LR: 0.000800
Training Epoch: 19 [27904/48750]	Loss: 0.2235	LR: 0.000800
Training Epoch: 19 [28160/48750]	Loss: 0.2439	LR: 0.000800
Training Epoch: 19 [28416/48750]	Loss: 0.2907	LR: 0.000800
Training Epoch: 19 [28672/48750]	Loss: 0.2202	LR: 0.000800
Training Epoch: 19 [28928/48750]	Loss: 0.2723	LR: 0.000800
Training Epoch: 19 [29184/48750]	Loss: 0.2245	LR: 0.000800
Training Epoch: 19 [29440/48750]	Loss: 0.2656	LR: 0.000800
Training Epoch: 19 [29696/48750]	Loss: 0.2425	LR: 0.000800
Training Epoch: 19 [29952/48750]	Loss: 0.2598	LR: 0.000800
Training Epoch: 19 [30208/48750]	Loss: 0.2564	LR: 0.000800
Training Epoch: 19 [30464/48750]	Loss: 0.3082	LR: 0.000800
Training Epoch: 19 [30720/48750]	Loss: 0.2826	LR: 0.000800
Training Epoch: 19 [30976/48750]	Loss: 0.3074	LR: 0.000800
Training Epoch: 19 [31232/48750]	Loss: 0.2639	LR: 0.000800
Training Epoch: 19 [31488/48750]	Loss: 0.2483	LR: 0.000800
Training Epoch: 19 [31744/48750]	Loss: 0.2813	LR: 0.000800
Training Epoch: 19 [32000/48750]	Loss: 0.3664	LR: 0.000800
Training Epoch: 19 [32256/48750]	Loss: 0.2667	LR: 0.000800
Training Epoch: 19 [32512/48750]	Loss: 0.2661	LR: 0.000800
Training Epoch: 19 [32768/48750]	Loss: 0.3041	LR: 0.000800
Training Epoch: 19 [33024/48750]	Loss: 0.3177	LR: 0.000800
Training Epoch: 19 [33280/48750]	Loss: 0.2553	LR: 0.000800
Training Epoch: 19 [33536/48750]	Loss: 0.2307	LR: 0.000800
Training Epoch: 19 [33792/48750]	Loss: 0.3331	LR: 0.000800
Training Epoch: 19 [34048/48750]	Loss: 0.3290	LR: 0.000800
Training Epoch: 19 [34304/48750]	Loss: 0.3143	LR: 0.000800
Training Epoch: 19 [34560/48750]	Loss: 0.2228	LR: 0.000800
Training Epoch: 19 [34816/48750]	Loss: 0.2204	LR: 0.000800
Training Epoch: 19 [35072/48750]	Loss: 0.2402	LR: 0.000800
Training Epoch: 19 [35328/48750]	Loss: 0.2684	LR: 0.000800
Training Epoch: 19 [35584/48750]	Loss: 0.3163	LR: 0.000800
Training Epoch: 19 [35840/48750]	Loss: 0.2931	LR: 0.000800
Training Epoch: 19 [36096/48750]	Loss: 0.2773	LR: 0.000800
Training Epoch: 19 [36352/48750]	Loss: 0.2829	LR: 0.000800
Training Epoch: 19 [36608/48750]	Loss: 0.2702	LR: 0.000800
Training Epoch: 19 [36864/48750]	Loss: 0.2787	LR: 0.000800
Training Epoch: 19 [37120/48750]	Loss: 0.1970	LR: 0.000800
Training Epoch: 19 [37376/48750]	Loss: 0.2333	LR: 0.000800
Training Epoch: 19 [37632/48750]	Loss: 0.2860	LR: 0.000800
Training Epoch: 19 [37888/48750]	Loss: 0.2660	LR: 0.000800
Training Epoch: 19 [38144/48750]	Loss: 0.3037	LR: 0.000800
Training Epoch: 19 [38400/48750]	Loss: 0.2736	LR: 0.000800
Training Epoch: 19 [38656/48750]	Loss: 0.2539	LR: 0.000800
Training Epoch: 19 [38912/48750]	Loss: 0.2818	LR: 0.000800
Training Epoch: 19 [39168/48750]	Loss: 0.2452	LR: 0.000800
Training Epoch: 19 [39424/48750]	Loss: 0.2745	LR: 0.000800
Training Epoch: 19 [39680/48750]	Loss: 0.2437	LR: 0.000800
Training Epoch: 19 [39936/48750]	Loss: 0.2638	LR: 0.000800
Training Epoch: 19 [40192/48750]	Loss: 0.2392	LR: 0.000800
Training Epoch: 19 [40448/48750]	Loss: 0.2623	LR: 0.000800
Training Epoch: 19 [40704/48750]	Loss: 0.2342	LR: 0.000800
Training Epoch: 19 [40960/48750]	Loss: 0.2645	LR: 0.000800
Training Epoch: 19 [41216/48750]	Loss: 0.2153	LR: 0.000800
Training Epoch: 19 [41472/48750]	Loss: 0.3701	LR: 0.000800
Training Epoch: 19 [41728/48750]	Loss: 0.2591	LR: 0.000800
Training Epoch: 19 [41984/48750]	Loss: 0.2896	LR: 0.000800
Training Epoch: 19 [42240/48750]	Loss: 0.2973	LR: 0.000800
Training Epoch: 19 [42496/48750]	Loss: 0.2855	LR: 0.000800
Training Epoch: 19 [42752/48750]	Loss: 0.2726	LR: 0.000800
Training Epoch: 19 [43008/48750]	Loss: 0.2581	LR: 0.000800
Training Epoch: 19 [43264/48750]	Loss: 0.2537	LR: 0.000800
Training Epoch: 19 [43520/48750]	Loss: 0.2864	LR: 0.000800
Training Epoch: 19 [43776/48750]	Loss: 0.3243	LR: 0.000800
Training Epoch: 19 [44032/48750]	Loss: 0.2111	LR: 0.000800
Training Epoch: 19 [44288/48750]	Loss: 0.2709	LR: 0.000800
Training Epoch: 19 [44544/48750]	Loss: 0.2332	LR: 0.000800
Training Epoch: 19 [44800/48750]	Loss: 0.2571	LR: 0.000800
Training Epoch: 19 [45056/48750]	Loss: 0.2020	LR: 0.000800
Training Epoch: 19 [45312/48750]	Loss: 0.2464	LR: 0.000800
Training Epoch: 19 [45568/48750]	Loss: 0.2257	LR: 0.000800
Training Epoch: 19 [45824/48750]	Loss: 0.2827	LR: 0.000800
Training Epoch: 19 [46080/48750]	Loss: 0.2333	LR: 0.000800
Training Epoch: 19 [46336/48750]	Loss: 0.2413	LR: 0.000800
Training Epoch: 19 [46592/48750]	Loss: 0.2209	LR: 0.000800
Training Epoch: 19 [46848/48750]	Loss: 0.2800	LR: 0.000800
Training Epoch: 19 [47104/48750]	Loss: 0.3018	LR: 0.000800
Training Epoch: 19 [47360/48750]	Loss: 0.2083	LR: 0.000800
Training Epoch: 19 [47616/48750]	Loss: 0.2100	LR: 0.000800
Training Epoch: 19 [47872/48750]	Loss: 0.2066	LR: 0.000800
Training Epoch: 19 [48128/48750]	Loss: 0.2898	LR: 0.000800
Training Epoch: 19 [48384/48750]	Loss: 0.2798	LR: 0.000800
Training Epoch: 19 [48640/48750]	Loss: 0.2675	LR: 0.000800
Training Epoch: 19 [48750/48750]	Loss: 0.2773	LR: 0.000800
Epoch 19 - Average Train Loss: 0.2638, Train Accuracy: 0.9084
Epoch 19 training time consumed: 29.53s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0013, Accuracy: 0.8913, Time consumed:0.96s
Training Epoch: 20 [256/48750]	Loss: 0.2942	LR: 0.000800
Training Epoch: 20 [512/48750]	Loss: 0.2777	LR: 0.000800
Training Epoch: 20 [768/48750]	Loss: 0.3523	LR: 0.000800
Training Epoch: 20 [1024/48750]	Loss: 0.2935	LR: 0.000800
Training Epoch: 20 [1280/48750]	Loss: 0.1994	LR: 0.000800
Training Epoch: 20 [1536/48750]	Loss: 0.3110	LR: 0.000800
Training Epoch: 20 [1792/48750]	Loss: 0.2660	LR: 0.000800
Training Epoch: 20 [2048/48750]	Loss: 0.2640	LR: 0.000800
Training Epoch: 20 [2304/48750]	Loss: 0.2524	LR: 0.000800
Training Epoch: 20 [2560/48750]	Loss: 0.2584	LR: 0.000800
Training Epoch: 20 [2816/48750]	Loss: 0.2461	LR: 0.000800
Training Epoch: 20 [3072/48750]	Loss: 0.2703	LR: 0.000800
Training Epoch: 20 [3328/48750]	Loss: 0.2596	LR: 0.000800
Training Epoch: 20 [3584/48750]	Loss: 0.2705	LR: 0.000800
Training Epoch: 20 [3840/48750]	Loss: 0.2706	LR: 0.000800
Training Epoch: 20 [4096/48750]	Loss: 0.2682	LR: 0.000800
Training Epoch: 20 [4352/48750]	Loss: 0.2386	LR: 0.000800
Training Epoch: 20 [4608/48750]	Loss: 0.2069	LR: 0.000800
Training Epoch: 20 [4864/48750]	Loss: 0.2897	LR: 0.000800
Training Epoch: 20 [5120/48750]	Loss: 0.2538	LR: 0.000800
Training Epoch: 20 [5376/48750]	Loss: 0.2754	LR: 0.000800
Training Epoch: 20 [5632/48750]	Loss: 0.3278	LR: 0.000800
Training Epoch: 20 [5888/48750]	Loss: 0.2633	LR: 0.000800
Training Epoch: 20 [6144/48750]	Loss: 0.2588	LR: 0.000800
Training Epoch: 20 [6400/48750]	Loss: 0.2992	LR: 0.000800
Training Epoch: 20 [6656/48750]	Loss: 0.2090	LR: 0.000800
Training Epoch: 20 [6912/48750]	Loss: 0.2154	LR: 0.000800
Training Epoch: 20 [7168/48750]	Loss: 0.2462	LR: 0.000800
Training Epoch: 20 [7424/48750]	Loss: 0.2337	LR: 0.000800
Training Epoch: 20 [7680/48750]	Loss: 0.2802	LR: 0.000800
Training Epoch: 20 [7936/48750]	Loss: 0.3057	LR: 0.000800
Training Epoch: 20 [8192/48750]	Loss: 0.3051	LR: 0.000800
Training Epoch: 20 [8448/48750]	Loss: 0.2252	LR: 0.000800
Training Epoch: 20 [8704/48750]	Loss: 0.2358	LR: 0.000800
Training Epoch: 20 [8960/48750]	Loss: 0.2352	LR: 0.000800
Training Epoch: 20 [9216/48750]	Loss: 0.2151	LR: 0.000800
Training Epoch: 20 [9472/48750]	Loss: 0.3323	LR: 0.000800
Training Epoch: 20 [9728/48750]	Loss: 0.3081	LR: 0.000800
Training Epoch: 20 [9984/48750]	Loss: 0.2544	LR: 0.000800
Training Epoch: 20 [10240/48750]	Loss: 0.2907	LR: 0.000800
Training Epoch: 20 [10496/48750]	Loss: 0.3166	LR: 0.000800
Training Epoch: 20 [10752/48750]	Loss: 0.3173	LR: 0.000800
Training Epoch: 20 [11008/48750]	Loss: 0.2488	LR: 0.000800
Training Epoch: 20 [11264/48750]	Loss: 0.2277	LR: 0.000800
Training Epoch: 20 [11520/48750]	Loss: 0.2912	LR: 0.000800
Training Epoch: 20 [11776/48750]	Loss: 0.2918	LR: 0.000800
Training Epoch: 20 [12032/48750]	Loss: 0.2540	LR: 0.000800
Training Epoch: 20 [12288/48750]	Loss: 0.2654	LR: 0.000800
Training Epoch: 20 [12544/48750]	Loss: 0.2264	LR: 0.000800
Training Epoch: 20 [12800/48750]	Loss: 0.2207	LR: 0.000800
Training Epoch: 20 [13056/48750]	Loss: 0.2275	LR: 0.000800
Training Epoch: 20 [13312/48750]	Loss: 0.2796	LR: 0.000800
Training Epoch: 20 [13568/48750]	Loss: 0.2552	LR: 0.000800
Training Epoch: 20 [13824/48750]	Loss: 0.3893	LR: 0.000800
Training Epoch: 20 [14080/48750]	Loss: 0.2445	LR: 0.000800
Training Epoch: 20 [14336/48750]	Loss: 0.2749	LR: 0.000800
Training Epoch: 20 [14592/48750]	Loss: 0.3373	LR: 0.000800
Training Epoch: 20 [14848/48750]	Loss: 0.2638	LR: 0.000800
Training Epoch: 20 [15104/48750]	Loss: 0.2243	LR: 0.000800
Training Epoch: 20 [15360/48750]	Loss: 0.3052	LR: 0.000800
Training Epoch: 20 [15616/48750]	Loss: 0.2882	LR: 0.000800
Training Epoch: 20 [15872/48750]	Loss: 0.2169	LR: 0.000800
Training Epoch: 20 [16128/48750]	Loss: 0.2401	LR: 0.000800
Training Epoch: 20 [16384/48750]	Loss: 0.2809	LR: 0.000800
Training Epoch: 20 [16640/48750]	Loss: 0.3741	LR: 0.000800
Training Epoch: 20 [16896/48750]	Loss: 0.3589	LR: 0.000800
Training Epoch: 20 [17152/48750]	Loss: 0.2339	LR: 0.000800
Training Epoch: 20 [17408/48750]	Loss: 0.3464	LR: 0.000800
Training Epoch: 20 [17664/48750]	Loss: 0.2574	LR: 0.000800
Training Epoch: 20 [17920/48750]	Loss: 0.1993	LR: 0.000800
Training Epoch: 20 [18176/48750]	Loss: 0.2995	LR: 0.000800
Training Epoch: 20 [18432/48750]	Loss: 0.3087	LR: 0.000800
Training Epoch: 20 [18688/48750]	Loss: 0.2797	LR: 0.000800
Training Epoch: 20 [18944/48750]	Loss: 0.2436	LR: 0.000800
Training Epoch: 20 [19200/48750]	Loss: 0.2233	LR: 0.000800
Training Epoch: 20 [19456/48750]	Loss: 0.1891	LR: 0.000800
Training Epoch: 20 [19712/48750]	Loss: 0.2805	LR: 0.000800
Training Epoch: 20 [19968/48750]	Loss: 0.3099	LR: 0.000800
Training Epoch: 20 [20224/48750]	Loss: 0.2078	LR: 0.000800
Training Epoch: 20 [20480/48750]	Loss: 0.2254	LR: 0.000800
Training Epoch: 20 [20736/48750]	Loss: 0.3024	LR: 0.000800
Training Epoch: 20 [20992/48750]	Loss: 0.2927	LR: 0.000800
Training Epoch: 20 [21248/48750]	Loss: 0.2838	LR: 0.000800
Training Epoch: 20 [21504/48750]	Loss: 0.2594	LR: 0.000800
Training Epoch: 20 [21760/48750]	Loss: 0.2650	LR: 0.000800
Training Epoch: 20 [22016/48750]	Loss: 0.2202	LR: 0.000800
Training Epoch: 20 [22272/48750]	Loss: 0.2726	LR: 0.000800
Training Epoch: 20 [22528/48750]	Loss: 0.2802	LR: 0.000800
Training Epoch: 20 [22784/48750]	Loss: 0.2993	LR: 0.000800
Training Epoch: 20 [23040/48750]	Loss: 0.2091	LR: 0.000800
Training Epoch: 20 [23296/48750]	Loss: 0.2802	LR: 0.000800
Training Epoch: 20 [23552/48750]	Loss: 0.3091	LR: 0.000800
Training Epoch: 20 [23808/48750]	Loss: 0.2687	LR: 0.000800
Training Epoch: 20 [24064/48750]	Loss: 0.3024	LR: 0.000800
Training Epoch: 20 [24320/48750]	Loss: 0.2051	LR: 0.000800
Training Epoch: 20 [24576/48750]	Loss: 0.2347	LR: 0.000800
Training Epoch: 20 [24832/48750]	Loss: 0.2453	LR: 0.000800
Training Epoch: 20 [25088/48750]	Loss: 0.3136	LR: 0.000800
Training Epoch: 20 [25344/48750]	Loss: 0.2717	LR: 0.000800
Training Epoch: 20 [25600/48750]	Loss: 0.2977	LR: 0.000800
Training Epoch: 20 [25856/48750]	Loss: 0.2313	LR: 0.000800
Training Epoch: 20 [26112/48750]	Loss: 0.3227	LR: 0.000800
Training Epoch: 20 [26368/48750]	Loss: 0.2768	LR: 0.000800
Training Epoch: 20 [26624/48750]	Loss: 0.2341	LR: 0.000800
Training Epoch: 20 [26880/48750]	Loss: 0.2205	LR: 0.000800
Training Epoch: 20 [27136/48750]	Loss: 0.2363	LR: 0.000800
Training Epoch: 20 [27392/48750]	Loss: 0.2485	LR: 0.000800
Training Epoch: 20 [27648/48750]	Loss: 0.2612	LR: 0.000800
Training Epoch: 20 [27904/48750]	Loss: 0.2131	LR: 0.000800
Training Epoch: 20 [28160/48750]	Loss: 0.2431	LR: 0.000800
Training Epoch: 20 [28416/48750]	Loss: 0.3150	LR: 0.000800
Training Epoch: 20 [28672/48750]	Loss: 0.2762	LR: 0.000800
Training Epoch: 20 [28928/48750]	Loss: 0.2339	LR: 0.000800
Training Epoch: 20 [29184/48750]	Loss: 0.2318	LR: 0.000800
Training Epoch: 20 [29440/48750]	Loss: 0.1879	LR: 0.000800
Training Epoch: 20 [29696/48750]	Loss: 0.2779	LR: 0.000800
Training Epoch: 20 [29952/48750]	Loss: 0.2411	LR: 0.000800
Training Epoch: 20 [30208/48750]	Loss: 0.2580	LR: 0.000800
Training Epoch: 20 [30464/48750]	Loss: 0.3154	LR: 0.000800
Training Epoch: 20 [30720/48750]	Loss: 0.2239	LR: 0.000800
Training Epoch: 20 [30976/48750]	Loss: 0.2489	LR: 0.000800
Training Epoch: 20 [31232/48750]	Loss: 0.2140	LR: 0.000800
Training Epoch: 20 [31488/48750]	Loss: 0.2886	LR: 0.000800
Training Epoch: 20 [31744/48750]	Loss: 0.2584	LR: 0.000800
Training Epoch: 20 [32000/48750]	Loss: 0.2702	LR: 0.000800
Training Epoch: 20 [32256/48750]	Loss: 0.2480	LR: 0.000800
Training Epoch: 20 [32512/48750]	Loss: 0.2839	LR: 0.000800
Training Epoch: 20 [32768/48750]	Loss: 0.2346	LR: 0.000800
Training Epoch: 20 [33024/48750]	Loss: 0.2069	LR: 0.000800
Training Epoch: 20 [33280/48750]	Loss: 0.2444	LR: 0.000800
Training Epoch: 20 [33536/48750]	Loss: 0.2291	LR: 0.000800
Training Epoch: 20 [33792/48750]	Loss: 0.2047	LR: 0.000800
Training Epoch: 20 [34048/48750]	Loss: 0.3180	LR: 0.000800
Training Epoch: 20 [34304/48750]	Loss: 0.2886	LR: 0.000800
Training Epoch: 20 [34560/48750]	Loss: 0.2834	LR: 0.000800
Training Epoch: 20 [34816/48750]	Loss: 0.2070	LR: 0.000800
Training Epoch: 20 [35072/48750]	Loss: 0.2619	LR: 0.000800
Training Epoch: 20 [35328/48750]	Loss: 0.3141	LR: 0.000800
Training Epoch: 20 [35584/48750]	Loss: 0.2002	LR: 0.000800
Training Epoch: 20 [35840/48750]	Loss: 0.1757	LR: 0.000800
Training Epoch: 20 [36096/48750]	Loss: 0.2587	LR: 0.000800
Training Epoch: 20 [36352/48750]	Loss: 0.2405	LR: 0.000800
Training Epoch: 20 [36608/48750]	Loss: 0.2202	LR: 0.000800
Training Epoch: 20 [36864/48750]	Loss: 0.2160	LR: 0.000800
Training Epoch: 20 [37120/48750]	Loss: 0.2403	LR: 0.000800
Training Epoch: 20 [37376/48750]	Loss: 0.2978	LR: 0.000800
Training Epoch: 20 [37632/48750]	Loss: 0.2683	LR: 0.000800
Training Epoch: 20 [37888/48750]	Loss: 0.3163	LR: 0.000800
Training Epoch: 20 [38144/48750]	Loss: 0.2512	LR: 0.000800
Training Epoch: 20 [38400/48750]	Loss: 0.2715	LR: 0.000800
Training Epoch: 20 [38656/48750]	Loss: 0.2553	LR: 0.000800
Training Epoch: 20 [38912/48750]	Loss: 0.2549	LR: 0.000800
Training Epoch: 20 [39168/48750]	Loss: 0.2191	LR: 0.000800
Training Epoch: 20 [39424/48750]	Loss: 0.2282	LR: 0.000800
Training Epoch: 20 [39680/48750]	Loss: 0.3814	LR: 0.000800
Training Epoch: 20 [39936/48750]	Loss: 0.2484	LR: 0.000800
Training Epoch: 20 [40192/48750]	Loss: 0.3498	LR: 0.000800
Training Epoch: 20 [40448/48750]	Loss: 0.3411	LR: 0.000800
Training Epoch: 20 [40704/48750]	Loss: 0.2626	LR: 0.000800
Training Epoch: 20 [40960/48750]	Loss: 0.3438	LR: 0.000800
Training Epoch: 20 [41216/48750]	Loss: 0.2638	LR: 0.000800
Training Epoch: 20 [41472/48750]	Loss: 0.2627	LR: 0.000800
Training Epoch: 20 [41728/48750]	Loss: 0.2929	LR: 0.000800
Training Epoch: 20 [41984/48750]	Loss: 0.2890	LR: 0.000800
Training Epoch: 20 [42240/48750]	Loss: 0.2417	LR: 0.000800
Training Epoch: 20 [42496/48750]	Loss: 0.2440	LR: 0.000800
Training Epoch: 20 [42752/48750]	Loss: 0.2936	LR: 0.000800
Training Epoch: 20 [43008/48750]	Loss: 0.3045	LR: 0.000800
Training Epoch: 20 [43264/48750]	Loss: 0.3207	LR: 0.000800
Training Epoch: 20 [43520/48750]	Loss: 0.3032	LR: 0.000800
Training Epoch: 20 [43776/48750]	Loss: 0.2886	LR: 0.000800
Training Epoch: 20 [44032/48750]	Loss: 0.2128	LR: 0.000800
Training Epoch: 20 [44288/48750]	Loss: 0.2733	LR: 0.000800
Training Epoch: 20 [44544/48750]	Loss: 0.2885	LR: 0.000800
Training Epoch: 20 [44800/48750]	Loss: 0.2306	LR: 0.000800
Training Epoch: 20 [45056/48750]	Loss: 0.2582	LR: 0.000800
Training Epoch: 20 [45312/48750]	Loss: 0.1980	LR: 0.000800
Training Epoch: 20 [45568/48750]	Loss: 0.2812	LR: 0.000800
Training Epoch: 20 [45824/48750]	Loss: 0.2056	LR: 0.000800
Training Epoch: 20 [46080/48750]	Loss: 0.2727	LR: 0.000800
Training Epoch: 20 [46336/48750]	Loss: 0.1947	LR: 0.000800
Training Epoch: 20 [46592/48750]	Loss: 0.2753	LR: 0.000800
Training Epoch: 20 [46848/48750]	Loss: 0.3129	LR: 0.000800
Training Epoch: 20 [47104/48750]	Loss: 0.2657	LR: 0.000800
Training Epoch: 20 [47360/48750]	Loss: 0.2654	LR: 0.000800
Training Epoch: 20 [47616/48750]	Loss: 0.2903	LR: 0.000800
Training Epoch: 20 [47872/48750]	Loss: 0.2897	LR: 0.000800
Training Epoch: 20 [48128/48750]	Loss: 0.2143	LR: 0.000800
Training Epoch: 20 [48384/48750]	Loss: 0.2470	LR: 0.000800
Training Epoch: 20 [48640/48750]	Loss: 0.2040	LR: 0.000800
Training Epoch: 20 [48750/48750]	Loss: 0.3707	LR: 0.000800
Epoch 20 - Average Train Loss: 0.2649, Train Accuracy: 0.9085
Epoch 20 training time consumed: 29.52s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0013, Accuracy: 0.8904, Time consumed:0.95s
Valid (Test) Dl:  10000
Train Dl:  50000
Retain Train Dl:  48750
Forget Train Dl:  1250
Retain Valid Dl:  48750
Forget Valid Dl:  1250
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 1250 samples
Set1 Distribution: 1250 samples
Set2 Distribution: 1250 samples
MIA Attack Accuracy with XGBoost: 0.7360
Set1 Distribution: 1250 samples
Set2 Distribution: 1250 samples
MIA Attack Accuracy with XGBoost: 0.5000
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
MIA Attack Accuracy with XGBoost: 0.6653
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
MIA Attack Accuracy with XGBoost: 0.5105
Test Accuracy: 91.552734375
Retain Accuracy: 94.0541763305664
Zero-Retain Forget (ZRF): 0.8225380778312683
Membership Inference Attack (MIA): 0.6928
Forget vs Retain Membership Inference Attack (MIA): 0.736
Forget vs Test Membership Inference Attack (MIA): 0.5
Test vs Retain Membership Inference Attack (MIA): 0.66525
Train vs Test Membership Inference Attack (MIA): 0.5105
Forget Set Accuracy (Df): 93.7866439819336
Method Execution Time: 2505.53 seconds
