hello
hello

📌 Retain class distribution for seed 10:
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 10:
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
hello
hello
⚠️ Warning: Retain train loader may not be shuffled.
Training Epoch: 1 [256/48750]	Loss: 2.3964	LR: 0.000000
Training Epoch: 1 [512/48750]	Loss: 2.3642	LR: 0.000524
Training Epoch: 1 [768/48750]	Loss: 2.3298	LR: 0.001047
Training Epoch: 1 [1024/48750]	Loss: 2.3501	LR: 0.001571
Training Epoch: 1 [1280/48750]	Loss: 2.3321	LR: 0.002094
Training Epoch: 1 [1536/48750]	Loss: 2.2790	LR: 0.002618
Training Epoch: 1 [1792/48750]	Loss: 2.2547	LR: 0.003141
Training Epoch: 1 [2048/48750]	Loss: 2.2323	LR: 0.003665
Training Epoch: 1 [2304/48750]	Loss: 2.2679	LR: 0.004188
Training Epoch: 1 [2560/48750]	Loss: 2.2216	LR: 0.004712
Training Epoch: 1 [2816/48750]	Loss: 2.3026	LR: 0.005236
Training Epoch: 1 [3072/48750]	Loss: 2.1210	LR: 0.005759
Training Epoch: 1 [3328/48750]	Loss: 2.0434	LR: 0.006283
Training Epoch: 1 [3584/48750]	Loss: 2.1362	LR: 0.006806
Training Epoch: 1 [3840/48750]	Loss: 2.0832	LR: 0.007330
Training Epoch: 1 [4096/48750]	Loss: 2.0363	LR: 0.007853
Training Epoch: 1 [4352/48750]	Loss: 2.0264	LR: 0.008377
Training Epoch: 1 [4608/48750]	Loss: 1.9689	LR: 0.008901
Training Epoch: 1 [4864/48750]	Loss: 2.0392	LR: 0.009424
Training Epoch: 1 [5120/48750]	Loss: 1.8560	LR: 0.009948
Training Epoch: 1 [5376/48750]	Loss: 1.9368	LR: 0.010471
Training Epoch: 1 [5632/48750]	Loss: 1.9463	LR: 0.010995
Training Epoch: 1 [5888/48750]	Loss: 1.8632	LR: 0.011518
Training Epoch: 1 [6144/48750]	Loss: 1.9876	LR: 0.012042
Training Epoch: 1 [6400/48750]	Loss: 1.8775	LR: 0.012565
Training Epoch: 1 [6656/48750]	Loss: 1.9990	LR: 0.013089
Training Epoch: 1 [6912/48750]	Loss: 1.9840	LR: 0.013613
Training Epoch: 1 [7168/48750]	Loss: 1.8328	LR: 0.014136
Training Epoch: 1 [7424/48750]	Loss: 1.9482	LR: 0.014660
Training Epoch: 1 [7680/48750]	Loss: 1.8195	LR: 0.015183
Training Epoch: 1 [7936/48750]	Loss: 1.9442	LR: 0.015707
Training Epoch: 1 [8192/48750]	Loss: 1.8718	LR: 0.016230
Training Epoch: 1 [8448/48750]	Loss: 1.7804	LR: 0.016754
Training Epoch: 1 [8704/48750]	Loss: 1.8185	LR: 0.017277
Training Epoch: 1 [8960/48750]	Loss: 1.6593	LR: 0.017801
Training Epoch: 1 [9216/48750]	Loss: 1.7946	LR: 0.018325
Training Epoch: 1 [9472/48750]	Loss: 1.8409	LR: 0.018848
Training Epoch: 1 [9728/48750]	Loss: 1.8408	LR: 0.019372
Training Epoch: 1 [9984/48750]	Loss: 1.7498	LR: 0.019895
Training Epoch: 1 [10240/48750]	Loss: 1.7874	LR: 0.020419
Training Epoch: 1 [10496/48750]	Loss: 1.8505	LR: 0.020942
Training Epoch: 1 [10752/48750]	Loss: 1.8201	LR: 0.021466
Training Epoch: 1 [11008/48750]	Loss: 1.8390	LR: 0.021990
Training Epoch: 1 [11264/48750]	Loss: 1.8308	LR: 0.022513
Training Epoch: 1 [11520/48750]	Loss: 1.5859	LR: 0.023037
Training Epoch: 1 [11776/48750]	Loss: 1.8199	LR: 0.023560
Training Epoch: 1 [12032/48750]	Loss: 1.8008	LR: 0.024084
Training Epoch: 1 [12288/48750]	Loss: 1.7453	LR: 0.024607
Training Epoch: 1 [12544/48750]	Loss: 1.7052	LR: 0.025131
Training Epoch: 1 [12800/48750]	Loss: 1.7115	LR: 0.025654
Training Epoch: 1 [13056/48750]	Loss: 1.7596	LR: 0.026178
Training Epoch: 1 [13312/48750]	Loss: 1.7789	LR: 0.026702
Training Epoch: 1 [13568/48750]	Loss: 1.6585	LR: 0.027225
Training Epoch: 1 [13824/48750]	Loss: 1.8181	LR: 0.027749
Training Epoch: 1 [14080/48750]	Loss: 1.7890	LR: 0.028272
Training Epoch: 1 [14336/48750]	Loss: 1.7726	LR: 0.028796
Training Epoch: 1 [14592/48750]	Loss: 1.7132	LR: 0.029319
Training Epoch: 1 [14848/48750]	Loss: 1.6866	LR: 0.029843
Training Epoch: 1 [15104/48750]	Loss: 1.7331	LR: 0.030366
Training Epoch: 1 [15360/48750]	Loss: 1.8672	LR: 0.030890
Training Epoch: 1 [15616/48750]	Loss: 1.7730	LR: 0.031414
Training Epoch: 1 [15872/48750]	Loss: 1.6720	LR: 0.031937
Training Epoch: 1 [16128/48750]	Loss: 1.7566	LR: 0.032461
Training Epoch: 1 [16384/48750]	Loss: 1.7342	LR: 0.032984
Training Epoch: 1 [16640/48750]	Loss: 1.6552	LR: 0.033508
Training Epoch: 1 [16896/48750]	Loss: 1.7602	LR: 0.034031
Training Epoch: 1 [17152/48750]	Loss: 1.7129	LR: 0.034555
Training Epoch: 1 [17408/48750]	Loss: 1.8039	LR: 0.035079
Training Epoch: 1 [17664/48750]	Loss: 1.7161	LR: 0.035602
Training Epoch: 1 [17920/48750]	Loss: 1.6256	LR: 0.036126
Training Epoch: 1 [18176/48750]	Loss: 1.7398	LR: 0.036649
Training Epoch: 1 [18432/48750]	Loss: 1.8356	LR: 0.037173
Training Epoch: 1 [18688/48750]	Loss: 1.7300	LR: 0.037696
Training Epoch: 1 [18944/48750]	Loss: 1.7437	LR: 0.038220
Training Epoch: 1 [19200/48750]	Loss: 1.7017	LR: 0.038743
Training Epoch: 1 [19456/48750]	Loss: 1.7417	LR: 0.039267
Training Epoch: 1 [19712/48750]	Loss: 1.6206	LR: 0.039791
Training Epoch: 1 [19968/48750]	Loss: 1.6306	LR: 0.040314
Training Epoch: 1 [20224/48750]	Loss: 1.6503	LR: 0.040838
Training Epoch: 1 [20480/48750]	Loss: 1.7119	LR: 0.041361
Training Epoch: 1 [20736/48750]	Loss: 1.6561	LR: 0.041885
Training Epoch: 1 [20992/48750]	Loss: 1.7438	LR: 0.042408
Training Epoch: 1 [21248/48750]	Loss: 1.7254	LR: 0.042932
Training Epoch: 1 [21504/48750]	Loss: 1.7600	LR: 0.043455
Training Epoch: 1 [21760/48750]	Loss: 1.7127	LR: 0.043979
Training Epoch: 1 [22016/48750]	Loss: 1.6528	LR: 0.044503
Training Epoch: 1 [22272/48750]	Loss: 1.6923	LR: 0.045026
Training Epoch: 1 [22528/48750]	Loss: 1.6338	LR: 0.045550
Training Epoch: 1 [22784/48750]	Loss: 1.5592	LR: 0.046073
Training Epoch: 1 [23040/48750]	Loss: 1.7119	LR: 0.046597
Training Epoch: 1 [23296/48750]	Loss: 1.7409	LR: 0.047120
Training Epoch: 1 [23552/48750]	Loss: 1.5423	LR: 0.047644
Training Epoch: 1 [23808/48750]	Loss: 1.7222	LR: 0.048168
Training Epoch: 1 [24064/48750]	Loss: 1.5531	LR: 0.048691
Training Epoch: 1 [24320/48750]	Loss: 1.5490	LR: 0.049215
Training Epoch: 1 [24576/48750]	Loss: 1.6570	LR: 0.049738
Training Epoch: 1 [24832/48750]	Loss: 1.4801	LR: 0.050262
Training Epoch: 1 [25088/48750]	Loss: 1.6180	LR: 0.050785
Training Epoch: 1 [25344/48750]	Loss: 1.4858	LR: 0.051309
Training Epoch: 1 [25600/48750]	Loss: 1.4438	LR: 0.051832
Training Epoch: 1 [25856/48750]	Loss: 1.6618	LR: 0.052356
Training Epoch: 1 [26112/48750]	Loss: 1.6295	LR: 0.052880
Training Epoch: 1 [26368/48750]	Loss: 1.6065	LR: 0.053403
Training Epoch: 1 [26624/48750]	Loss: 1.6380	LR: 0.053927
Training Epoch: 1 [26880/48750]	Loss: 1.4645	LR: 0.054450
Training Epoch: 1 [27136/48750]	Loss: 1.7827	LR: 0.054974
Training Epoch: 1 [27392/48750]	Loss: 1.4105	LR: 0.055497
Training Epoch: 1 [27648/48750]	Loss: 1.5541	LR: 0.056021
Training Epoch: 1 [27904/48750]	Loss: 1.5877	LR: 0.056545
Training Epoch: 1 [28160/48750]	Loss: 1.5153	LR: 0.057068
Training Epoch: 1 [28416/48750]	Loss: 1.5111	LR: 0.057592
Training Epoch: 1 [28672/48750]	Loss: 1.6355	LR: 0.058115
Training Epoch: 1 [28928/48750]	Loss: 1.3225	LR: 0.058639
Training Epoch: 1 [29184/48750]	Loss: 1.5386	LR: 0.059162
Training Epoch: 1 [29440/48750]	Loss: 1.5955	LR: 0.059686
Training Epoch: 1 [29696/48750]	Loss: 1.5603	LR: 0.060209
Training Epoch: 1 [29952/48750]	Loss: 1.6957	LR: 0.060733
Training Epoch: 1 [30208/48750]	Loss: 1.5641	LR: 0.061257
Training Epoch: 1 [30464/48750]	Loss: 1.5051	LR: 0.061780
Training Epoch: 1 [30720/48750]	Loss: 1.7831	LR: 0.062304
Training Epoch: 1 [30976/48750]	Loss: 1.8833	LR: 0.062827
Training Epoch: 1 [31232/48750]	Loss: 1.8715	LR: 0.063351
Training Epoch: 1 [31488/48750]	Loss: 1.5893	LR: 0.063874
Training Epoch: 1 [31744/48750]	Loss: 1.5642	LR: 0.064398
Training Epoch: 1 [32000/48750]	Loss: 1.8234	LR: 0.064921
Training Epoch: 1 [32256/48750]	Loss: 1.5384	LR: 0.065445
Training Epoch: 1 [32512/48750]	Loss: 1.7097	LR: 0.065969
Training Epoch: 1 [32768/48750]	Loss: 1.5274	LR: 0.066492
Training Epoch: 1 [33024/48750]	Loss: 1.5374	LR: 0.067016
Training Epoch: 1 [33280/48750]	Loss: 1.7969	LR: 0.067539
Training Epoch: 1 [33536/48750]	Loss: 1.5740	LR: 0.068063
Training Epoch: 1 [33792/48750]	Loss: 1.5897	LR: 0.068586
Training Epoch: 1 [34048/48750]	Loss: 1.5507	LR: 0.069110
Training Epoch: 1 [34304/48750]	Loss: 1.4719	LR: 0.069634
Training Epoch: 1 [34560/48750]	Loss: 1.4155	LR: 0.070157
Training Epoch: 1 [34816/48750]	Loss: 1.6839	LR: 0.070681
Training Epoch: 1 [35072/48750]	Loss: 1.5112	LR: 0.071204
Training Epoch: 1 [35328/48750]	Loss: 1.4327	LR: 0.071728
Training Epoch: 1 [35584/48750]	Loss: 1.4402	LR: 0.072251
Training Epoch: 1 [35840/48750]	Loss: 1.5850	LR: 0.072775
Training Epoch: 1 [36096/48750]	Loss: 1.8111	LR: 0.073298
Training Epoch: 1 [36352/48750]	Loss: 1.6266	LR: 0.073822
Training Epoch: 1 [36608/48750]	Loss: 1.9168	LR: 0.074346
Training Epoch: 1 [36864/48750]	Loss: 1.8706	LR: 0.074869
Training Epoch: 1 [37120/48750]	Loss: 1.4586	LR: 0.075393
Training Epoch: 1 [37376/48750]	Loss: 1.9414	LR: 0.075916
Training Epoch: 1 [37632/48750]	Loss: 1.4543	LR: 0.076440
Training Epoch: 1 [37888/48750]	Loss: 1.4822	LR: 0.076963
Training Epoch: 1 [38144/48750]	Loss: 1.7382	LR: 0.077487
Training Epoch: 1 [38400/48750]	Loss: 1.5349	LR: 0.078010
Training Epoch: 1 [38656/48750]	Loss: 1.6103	LR: 0.078534
Training Epoch: 1 [38912/48750]	Loss: 1.6291	LR: 0.079058
Training Epoch: 1 [39168/48750]	Loss: 1.5480	LR: 0.079581
Training Epoch: 1 [39424/48750]	Loss: 1.4603	LR: 0.080105
Training Epoch: 1 [39680/48750]	Loss: 1.5650	LR: 0.080628
Training Epoch: 1 [39936/48750]	Loss: 1.3296	LR: 0.081152
Training Epoch: 1 [40192/48750]	Loss: 1.4257	LR: 0.081675
Training Epoch: 1 [40448/48750]	Loss: 1.5427	LR: 0.082199
Training Epoch: 1 [40704/48750]	Loss: 1.5121	LR: 0.082723
Training Epoch: 1 [40960/48750]	Loss: 1.5101	LR: 0.083246
Training Epoch: 1 [41216/48750]	Loss: 1.3590	LR: 0.083770
Training Epoch: 1 [41472/48750]	Loss: 1.3955	LR: 0.084293
Training Epoch: 1 [41728/48750]	Loss: 1.6296	LR: 0.084817
Training Epoch: 1 [41984/48750]	Loss: 1.4671	LR: 0.085340
Training Epoch: 1 [42240/48750]	Loss: 1.6381	LR: 0.085864
Training Epoch: 1 [42496/48750]	Loss: 1.5011	LR: 0.086387
Training Epoch: 1 [42752/48750]	Loss: 1.5458	LR: 0.086911
Training Epoch: 1 [43008/48750]	Loss: 1.3639	LR: 0.087435
Training Epoch: 1 [43264/48750]	Loss: 1.4309	LR: 0.087958
Training Epoch: 1 [43520/48750]	Loss: 1.4073	LR: 0.088482
Training Epoch: 1 [43776/48750]	Loss: 1.4800	LR: 0.089005
Training Epoch: 1 [44032/48750]	Loss: 1.5195	LR: 0.089529
Training Epoch: 1 [44288/48750]	Loss: 1.4780	LR: 0.090052
Training Epoch: 1 [44544/48750]	Loss: 1.5185	LR: 0.090576
Training Epoch: 1 [44800/48750]	Loss: 1.3197	LR: 0.091099
Training Epoch: 1 [45056/48750]	Loss: 1.4074	LR: 0.091623
Training Epoch: 1 [45312/48750]	Loss: 1.4030	LR: 0.092147
Training Epoch: 1 [45568/48750]	Loss: 1.3285	LR: 0.092670
Training Epoch: 1 [45824/48750]	Loss: 1.3952	LR: 0.093194
Training Epoch: 1 [46080/48750]	Loss: 1.4772	LR: 0.093717
Training Epoch: 1 [46336/48750]	Loss: 1.5310	LR: 0.094241
Training Epoch: 1 [46592/48750]	Loss: 1.5787	LR: 0.094764
Training Epoch: 1 [46848/48750]	Loss: 1.4538	LR: 0.095288
Training Epoch: 1 [47104/48750]	Loss: 1.6092	LR: 0.095812
Training Epoch: 1 [47360/48750]	Loss: 1.5588	LR: 0.096335
Training Epoch: 1 [47616/48750]	Loss: 1.4537	LR: 0.096859
Training Epoch: 1 [47872/48750]	Loss: 1.3953	LR: 0.097382
Training Epoch: 1 [48128/48750]	Loss: 1.6267	LR: 0.097906
Training Epoch: 1 [48384/48750]	Loss: 1.5215	LR: 0.098429
Training Epoch: 1 [48640/48750]	Loss: 1.5573	LR: 0.098953
Training Epoch: 1 [48750/48750]	Loss: 1.3701	LR: 0.099476
Epoch 1 - Average Train Loss: 1.7000, Train Accuracy: 0.3834
Epoch 1 training time consumed: 30.09s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0073, Accuracy: 0.4062, Time consumed:1.05s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_18h_17m_35s/ResNet18-Cifar10-seed10-ret75-1-best.pth
Training Epoch: 2 [256/48750]	Loss: 1.4147	LR: 0.100000
Training Epoch: 2 [512/48750]	Loss: 1.2175	LR: 0.100000
Training Epoch: 2 [768/48750]	Loss: 1.4788	LR: 0.100000
Training Epoch: 2 [1024/48750]	Loss: 1.5245	LR: 0.100000
Training Epoch: 2 [1280/48750]	Loss: 1.4459	LR: 0.100000
Training Epoch: 2 [1536/48750]	Loss: 1.7272	LR: 0.100000
Training Epoch: 2 [1792/48750]	Loss: 1.3609	LR: 0.100000
Training Epoch: 2 [2048/48750]	Loss: 1.4314	LR: 0.100000
Training Epoch: 2 [2304/48750]	Loss: 1.4944	LR: 0.100000
Training Epoch: 2 [2560/48750]	Loss: 1.3931	LR: 0.100000
Training Epoch: 2 [2816/48750]	Loss: 1.4526	LR: 0.100000
Training Epoch: 2 [3072/48750]	Loss: 1.3701	LR: 0.100000
Training Epoch: 2 [3328/48750]	Loss: 1.5253	LR: 0.100000
Training Epoch: 2 [3584/48750]	Loss: 1.4370	LR: 0.100000
Training Epoch: 2 [3840/48750]	Loss: 1.3484	LR: 0.100000
Training Epoch: 2 [4096/48750]	Loss: 1.3766	LR: 0.100000
Training Epoch: 2 [4352/48750]	Loss: 1.4161	LR: 0.100000
Training Epoch: 2 [4608/48750]	Loss: 1.4640	LR: 0.100000
Training Epoch: 2 [4864/48750]	Loss: 1.3526	LR: 0.100000
Training Epoch: 2 [5120/48750]	Loss: 1.4105	LR: 0.100000
Training Epoch: 2 [5376/48750]	Loss: 1.3019	LR: 0.100000
Training Epoch: 2 [5632/48750]	Loss: 1.3121	LR: 0.100000
Training Epoch: 2 [5888/48750]	Loss: 1.4283	LR: 0.100000
Training Epoch: 2 [6144/48750]	Loss: 1.6436	LR: 0.100000
Training Epoch: 2 [6400/48750]	Loss: 1.3370	LR: 0.100000
Training Epoch: 2 [6656/48750]	Loss: 1.2627	LR: 0.100000
Training Epoch: 2 [6912/48750]	Loss: 1.4878	LR: 0.100000
Training Epoch: 2 [7168/48750]	Loss: 1.4803	LR: 0.100000
Training Epoch: 2 [7424/48750]	Loss: 1.2789	LR: 0.100000
Training Epoch: 2 [7680/48750]	Loss: 1.4655	LR: 0.100000
Training Epoch: 2 [7936/48750]	Loss: 1.4634	LR: 0.100000
Training Epoch: 2 [8192/48750]	Loss: 1.3449	LR: 0.100000
Training Epoch: 2 [8448/48750]	Loss: 1.3523	LR: 0.100000
Training Epoch: 2 [8704/48750]	Loss: 1.3289	LR: 0.100000
Training Epoch: 2 [8960/48750]	Loss: 1.3202	LR: 0.100000
Training Epoch: 2 [9216/48750]	Loss: 1.3480	LR: 0.100000
Training Epoch: 2 [9472/48750]	Loss: 1.2849	LR: 0.100000
Training Epoch: 2 [9728/48750]	Loss: 1.3365	LR: 0.100000
Training Epoch: 2 [9984/48750]	Loss: 1.2764	LR: 0.100000
Training Epoch: 2 [10240/48750]	Loss: 1.2665	LR: 0.100000
Training Epoch: 2 [10496/48750]	Loss: 1.2027	LR: 0.100000
Training Epoch: 2 [10752/48750]	Loss: 1.1678	LR: 0.100000
Training Epoch: 2 [11008/48750]	Loss: 1.3322	LR: 0.100000
Training Epoch: 2 [11264/48750]	Loss: 1.2478	LR: 0.100000
Training Epoch: 2 [11520/48750]	Loss: 1.3134	LR: 0.100000
Training Epoch: 2 [11776/48750]	Loss: 1.3088	LR: 0.100000
Training Epoch: 2 [12032/48750]	Loss: 1.2694	LR: 0.100000
Training Epoch: 2 [12288/48750]	Loss: 1.2877	LR: 0.100000
Training Epoch: 2 [12544/48750]	Loss: 1.2918	LR: 0.100000
Training Epoch: 2 [12800/48750]	Loss: 1.3875	LR: 0.100000
Training Epoch: 2 [13056/48750]	Loss: 1.2730	LR: 0.100000
Training Epoch: 2 [13312/48750]	Loss: 1.2832	LR: 0.100000
Training Epoch: 2 [13568/48750]	Loss: 1.3025	LR: 0.100000
Training Epoch: 2 [13824/48750]	Loss: 1.2868	LR: 0.100000
Training Epoch: 2 [14080/48750]	Loss: 1.1339	LR: 0.100000
Training Epoch: 2 [14336/48750]	Loss: 1.3168	LR: 0.100000
Training Epoch: 2 [14592/48750]	Loss: 1.2857	LR: 0.100000
Training Epoch: 2 [14848/48750]	Loss: 1.1743	LR: 0.100000
Training Epoch: 2 [15104/48750]	Loss: 1.2626	LR: 0.100000
Training Epoch: 2 [15360/48750]	Loss: 1.2611	LR: 0.100000
Training Epoch: 2 [15616/48750]	Loss: 1.2332	LR: 0.100000
Training Epoch: 2 [15872/48750]	Loss: 1.2223	LR: 0.100000
Training Epoch: 2 [16128/48750]	Loss: 1.2256	LR: 0.100000
Training Epoch: 2 [16384/48750]	Loss: 1.1503	LR: 0.100000
Training Epoch: 2 [16640/48750]	Loss: 1.2343	LR: 0.100000
Training Epoch: 2 [16896/48750]	Loss: 1.2905	LR: 0.100000
Training Epoch: 2 [17152/48750]	Loss: 1.1935	LR: 0.100000
Training Epoch: 2 [17408/48750]	Loss: 1.2577	LR: 0.100000
Training Epoch: 2 [17664/48750]	Loss: 1.1795	LR: 0.100000
Training Epoch: 2 [17920/48750]	Loss: 1.1689	LR: 0.100000
Training Epoch: 2 [18176/48750]	Loss: 1.2700	LR: 0.100000
Training Epoch: 2 [18432/48750]	Loss: 1.1447	LR: 0.100000
Training Epoch: 2 [18688/48750]	Loss: 1.1691	LR: 0.100000
Training Epoch: 2 [18944/48750]	Loss: 1.2032	LR: 0.100000
Training Epoch: 2 [19200/48750]	Loss: 1.1624	LR: 0.100000
Training Epoch: 2 [19456/48750]	Loss: 1.1005	LR: 0.100000
Training Epoch: 2 [19712/48750]	Loss: 1.1747	LR: 0.100000
Training Epoch: 2 [19968/48750]	Loss: 1.0895	LR: 0.100000
Training Epoch: 2 [20224/48750]	Loss: 1.0431	LR: 0.100000
Training Epoch: 2 [20480/48750]	Loss: 1.0257	LR: 0.100000
Training Epoch: 2 [20736/48750]	Loss: 1.0472	LR: 0.100000
Training Epoch: 2 [20992/48750]	Loss: 1.3099	LR: 0.100000
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Training Epoch: 2 [47616/48750]	Loss: 0.9087	LR: 0.100000
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Training Epoch: 2 [48640/48750]	Loss: 1.0112	LR: 0.100000
Training Epoch: 2 [48750/48750]	Loss: 1.0406	LR: 0.100000
Epoch 2 - Average Train Loss: 1.1786, Train Accuracy: 0.5793
Epoch 2 training time consumed: 29.13s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0039, Accuracy: 0.6559, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_18h_17m_35s/ResNet18-Cifar10-seed10-ret75-2-best.pth
Training Epoch: 3 [256/48750]	Loss: 0.8669	LR: 0.100000
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Training Epoch: 3 [47872/48750]	Loss: 1.0285	LR: 0.100000
Training Epoch: 3 [48128/48750]	Loss: 0.8413	LR: 0.100000
Training Epoch: 3 [48384/48750]	Loss: 0.8643	LR: 0.100000
Training Epoch: 3 [48640/48750]	Loss: 0.8687	LR: 0.100000
Training Epoch: 3 [48750/48750]	Loss: 0.8189	LR: 0.100000
Epoch 3 - Average Train Loss: 0.9060, Train Accuracy: 0.6805
Epoch 3 training time consumed: 29.08s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0038, Accuracy: 0.6747, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_18h_17m_35s/ResNet18-Cifar10-seed10-ret75-3-best.pth
Training Epoch: 4 [256/48750]	Loss: 0.8016	LR: 0.100000
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Training Epoch: 4 [48750/48750]	Loss: 0.6312	LR: 0.100000
Epoch 4 - Average Train Loss: 0.7838, Train Accuracy: 0.7239
Epoch 4 training time consumed: 29.19s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0034, Accuracy: 0.7136, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_18h_17m_35s/ResNet18-Cifar10-seed10-ret75-4-best.pth
Training Epoch: 5 [256/48750]	Loss: 0.7289	LR: 0.100000
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Training Epoch: 5 [48750/48750]	Loss: 0.6911	LR: 0.100000
Epoch 5 - Average Train Loss: 0.6938, Train Accuracy: 0.7599
Epoch 5 training time consumed: 29.31s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0028, Accuracy: 0.7561, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_18h_17m_35s/ResNet18-Cifar10-seed10-ret75-5-best.pth
Training Epoch: 6 [256/48750]	Loss: 0.6104	LR: 0.100000
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Training Epoch: 6 [48640/48750]	Loss: 0.5718	LR: 0.100000
Training Epoch: 6 [48750/48750]	Loss: 0.5407	LR: 0.100000
Epoch 6 - Average Train Loss: 0.6280, Train Accuracy: 0.7803
Epoch 6 training time consumed: 29.19s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0022, Accuracy: 0.8082, Time consumed:0.87s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_18h_17m_35s/ResNet18-Cifar10-seed10-ret75-6-best.pth
Training Epoch: 7 [256/48750]	Loss: 0.5228	LR: 0.100000
Training Epoch: 7 [512/48750]	Loss: 0.5993	LR: 0.100000
Training Epoch: 7 [768/48750]	Loss: 0.6149	LR: 0.100000
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Training Epoch: 7 [1792/48750]	Loss: 0.5937	LR: 0.100000
Training Epoch: 7 [2048/48750]	Loss: 0.5414	LR: 0.100000
Training Epoch: 7 [2304/48750]	Loss: 0.6319	LR: 0.100000
Training Epoch: 7 [2560/48750]	Loss: 0.6819	LR: 0.100000
Training Epoch: 7 [2816/48750]	Loss: 0.6289	LR: 0.100000
Training Epoch: 7 [3072/48750]	Loss: 0.5567	LR: 0.100000
Training Epoch: 7 [3328/48750]	Loss: 0.5806	LR: 0.100000
Training Epoch: 7 [3584/48750]	Loss: 0.5712	LR: 0.100000
Training Epoch: 7 [3840/48750]	Loss: 0.5484	LR: 0.100000
Training Epoch: 7 [4096/48750]	Loss: 0.5663	LR: 0.100000
Training Epoch: 7 [4352/48750]	Loss: 0.5020	LR: 0.100000
Training Epoch: 7 [4608/48750]	Loss: 0.5236	LR: 0.100000
Training Epoch: 7 [4864/48750]	Loss: 0.5382	LR: 0.100000
Training Epoch: 7 [5120/48750]	Loss: 0.5596	LR: 0.100000
Training Epoch: 7 [5376/48750]	Loss: 0.5583	LR: 0.100000
Training Epoch: 7 [5632/48750]	Loss: 0.5448	LR: 0.100000
Training Epoch: 7 [5888/48750]	Loss: 0.6786	LR: 0.100000
Training Epoch: 7 [6144/48750]	Loss: 0.6149	LR: 0.100000
Training Epoch: 7 [6400/48750]	Loss: 0.4692	LR: 0.100000
Training Epoch: 7 [6656/48750]	Loss: 0.4610	LR: 0.100000
Training Epoch: 7 [6912/48750]	Loss: 0.6155	LR: 0.100000
Training Epoch: 7 [7168/48750]	Loss: 0.6324	LR: 0.100000
Training Epoch: 7 [7424/48750]	Loss: 0.5634	LR: 0.100000
Training Epoch: 7 [7680/48750]	Loss: 0.6212	LR: 0.100000
Training Epoch: 7 [7936/48750]	Loss: 0.6006	LR: 0.100000
Training Epoch: 7 [8192/48750]	Loss: 0.4811	LR: 0.100000
Training Epoch: 7 [8448/48750]	Loss: 0.6397	LR: 0.100000
Training Epoch: 7 [8704/48750]	Loss: 0.5500	LR: 0.100000
Training Epoch: 7 [8960/48750]	Loss: 0.6085	LR: 0.100000
Training Epoch: 7 [9216/48750]	Loss: 0.6110	LR: 0.100000
Training Epoch: 7 [9472/48750]	Loss: 0.6313	LR: 0.100000
Training Epoch: 7 [9728/48750]	Loss: 0.6126	LR: 0.100000
Training Epoch: 7 [9984/48750]	Loss: 0.4921	LR: 0.100000
Training Epoch: 7 [10240/48750]	Loss: 0.5495	LR: 0.100000
Training Epoch: 7 [10496/48750]	Loss: 0.5605	LR: 0.100000
Training Epoch: 7 [10752/48750]	Loss: 0.5742	LR: 0.100000
Training Epoch: 7 [11008/48750]	Loss: 0.5378	LR: 0.100000
Training Epoch: 7 [11264/48750]	Loss: 0.6450	LR: 0.100000
Training Epoch: 7 [11520/48750]	Loss: 0.5886	LR: 0.100000
Training Epoch: 7 [11776/48750]	Loss: 0.5772	LR: 0.100000
Training Epoch: 7 [12032/48750]	Loss: 0.5773	LR: 0.100000
Training Epoch: 7 [12288/48750]	Loss: 0.5463	LR: 0.100000
Training Epoch: 7 [12544/48750]	Loss: 0.5900	LR: 0.100000
Training Epoch: 7 [12800/48750]	Loss: 0.7590	LR: 0.100000
Training Epoch: 7 [13056/48750]	Loss: 0.5392	LR: 0.100000
Training Epoch: 7 [13312/48750]	Loss: 0.6076	LR: 0.100000
Training Epoch: 7 [13568/48750]	Loss: 0.5778	LR: 0.100000
Training Epoch: 7 [13824/48750]	Loss: 0.5382	LR: 0.100000
Training Epoch: 7 [14080/48750]	Loss: 0.5505	LR: 0.100000
Training Epoch: 7 [14336/48750]	Loss: 0.6323	LR: 0.100000
Training Epoch: 7 [14592/48750]	Loss: 0.5718	LR: 0.100000
Training Epoch: 7 [14848/48750]	Loss: 0.5330	LR: 0.100000
Training Epoch: 7 [15104/48750]	Loss: 0.7158	LR: 0.100000
Training Epoch: 7 [15360/48750]	Loss: 0.6047	LR: 0.100000
Training Epoch: 7 [15616/48750]	Loss: 0.7787	LR: 0.100000
Training Epoch: 7 [15872/48750]	Loss: 0.6452	LR: 0.100000
Training Epoch: 7 [16128/48750]	Loss: 0.5606	LR: 0.100000
Training Epoch: 7 [16384/48750]	Loss: 0.6286	LR: 0.100000
Training Epoch: 7 [16640/48750]	Loss: 0.7548	LR: 0.100000
Training Epoch: 7 [16896/48750]	Loss: 0.5345	LR: 0.100000
Training Epoch: 7 [17152/48750]	Loss: 0.5477	LR: 0.100000
Training Epoch: 7 [17408/48750]	Loss: 0.5923	LR: 0.100000
Training Epoch: 7 [17664/48750]	Loss: 0.6749	LR: 0.100000
Training Epoch: 7 [17920/48750]	Loss: 0.5579	LR: 0.100000
Training Epoch: 7 [18176/48750]	Loss: 0.6514	LR: 0.100000
Training Epoch: 7 [18432/48750]	Loss: 0.4957	LR: 0.100000
Training Epoch: 7 [18688/48750]	Loss: 0.6205	LR: 0.100000
Training Epoch: 7 [18944/48750]	Loss: 0.6477	LR: 0.100000
Training Epoch: 7 [19200/48750]	Loss: 0.6878	LR: 0.100000
Training Epoch: 7 [19456/48750]	Loss: 0.5947	LR: 0.100000
Training Epoch: 7 [19712/48750]	Loss: 0.5621	LR: 0.100000
Training Epoch: 7 [19968/48750]	Loss: 0.6597	LR: 0.100000
Training Epoch: 7 [20224/48750]	Loss: 0.6029	LR: 0.100000
Training Epoch: 7 [20480/48750]	Loss: 0.4684	LR: 0.100000
Training Epoch: 7 [20736/48750]	Loss: 0.6329	LR: 0.100000
Training Epoch: 7 [20992/48750]	Loss: 0.5427	LR: 0.100000
Training Epoch: 7 [21248/48750]	Loss: 0.6317	LR: 0.100000
Training Epoch: 7 [21504/48750]	Loss: 0.5432	LR: 0.100000
Training Epoch: 7 [21760/48750]	Loss: 0.5112	LR: 0.100000
Training Epoch: 7 [22016/48750]	Loss: 0.5486	LR: 0.100000
Training Epoch: 7 [22272/48750]	Loss: 0.6411	LR: 0.100000
Training Epoch: 7 [22528/48750]	Loss: 0.5805	LR: 0.100000
Training Epoch: 7 [22784/48750]	Loss: 0.6609	LR: 0.100000
Training Epoch: 7 [23040/48750]	Loss: 0.5548	LR: 0.100000
Training Epoch: 7 [23296/48750]	Loss: 0.5055	LR: 0.100000
Training Epoch: 7 [23552/48750]	Loss: 0.5676	LR: 0.100000
Training Epoch: 7 [23808/48750]	Loss: 0.6141	LR: 0.100000
Training Epoch: 7 [24064/48750]	Loss: 0.6465	LR: 0.100000
Training Epoch: 7 [24320/48750]	Loss: 0.6051	LR: 0.100000
Training Epoch: 7 [24576/48750]	Loss: 0.6034	LR: 0.100000
Training Epoch: 7 [24832/48750]	Loss: 0.5047	LR: 0.100000
Training Epoch: 7 [25088/48750]	Loss: 0.5276	LR: 0.100000
Training Epoch: 7 [25344/48750]	Loss: 0.5611	LR: 0.100000
Training Epoch: 7 [25600/48750]	Loss: 0.6525	LR: 0.100000
Training Epoch: 7 [25856/48750]	Loss: 0.7518	LR: 0.100000
Training Epoch: 7 [26112/48750]	Loss: 0.5462	LR: 0.100000
Training Epoch: 7 [26368/48750]	Loss: 0.6298	LR: 0.100000
Training Epoch: 7 [26624/48750]	Loss: 0.6481	LR: 0.100000
Training Epoch: 7 [26880/48750]	Loss: 0.5475	LR: 0.100000
Training Epoch: 7 [27136/48750]	Loss: 0.5247	LR: 0.100000
Training Epoch: 7 [27392/48750]	Loss: 0.7427	LR: 0.100000
Training Epoch: 7 [27648/48750]	Loss: 0.5465	LR: 0.100000
Training Epoch: 7 [27904/48750]	Loss: 0.5166	LR: 0.100000
Training Epoch: 7 [28160/48750]	Loss: 0.6776	LR: 0.100000
Training Epoch: 7 [28416/48750]	Loss: 0.5818	LR: 0.100000
Training Epoch: 7 [28672/48750]	Loss: 0.6003	LR: 0.100000
Training Epoch: 7 [28928/48750]	Loss: 0.6636	LR: 0.100000
Training Epoch: 7 [29184/48750]	Loss: 0.4906	LR: 0.100000
Training Epoch: 7 [29440/48750]	Loss: 0.6595	LR: 0.100000
Training Epoch: 7 [29696/48750]	Loss: 0.7507	LR: 0.100000
Training Epoch: 7 [29952/48750]	Loss: 0.6220	LR: 0.100000
Training Epoch: 7 [30208/48750]	Loss: 0.5102	LR: 0.100000
Training Epoch: 7 [30464/48750]	Loss: 0.6099	LR: 0.100000
Training Epoch: 7 [30720/48750]	Loss: 0.5630	LR: 0.100000
Training Epoch: 7 [30976/48750]	Loss: 0.5115	LR: 0.100000
Training Epoch: 7 [31232/48750]	Loss: 0.5721	LR: 0.100000
Training Epoch: 7 [31488/48750]	Loss: 0.5605	LR: 0.100000
Training Epoch: 7 [31744/48750]	Loss: 0.5810	LR: 0.100000
Training Epoch: 7 [32000/48750]	Loss: 0.6097	LR: 0.100000
Training Epoch: 7 [32256/48750]	Loss: 0.5188	LR: 0.100000
Training Epoch: 7 [32512/48750]	Loss: 0.6624	LR: 0.100000
Training Epoch: 7 [32768/48750]	Loss: 0.5942	LR: 0.100000
Training Epoch: 7 [33024/48750]	Loss: 0.5594	LR: 0.100000
Training Epoch: 7 [33280/48750]	Loss: 0.5267	LR: 0.100000
Training Epoch: 7 [33536/48750]	Loss: 0.5258	LR: 0.100000
Training Epoch: 7 [33792/48750]	Loss: 0.6325	LR: 0.100000
Training Epoch: 7 [34048/48750]	Loss: 0.6210	LR: 0.100000
Training Epoch: 7 [34304/48750]	Loss: 0.5151	LR: 0.100000
Training Epoch: 7 [34560/48750]	Loss: 0.5657	LR: 0.100000
Training Epoch: 7 [34816/48750]	Loss: 0.7081	LR: 0.100000
Training Epoch: 7 [35072/48750]	Loss: 0.5562	LR: 0.100000
Training Epoch: 7 [35328/48750]	Loss: 0.6033	LR: 0.100000
Training Epoch: 7 [35584/48750]	Loss: 0.5939	LR: 0.100000
Training Epoch: 7 [35840/48750]	Loss: 0.7354	LR: 0.100000
Training Epoch: 7 [36096/48750]	Loss: 0.5513	LR: 0.100000
Training Epoch: 7 [36352/48750]	Loss: 0.6129	LR: 0.100000
Training Epoch: 7 [36608/48750]	Loss: 0.5360	LR: 0.100000
Training Epoch: 7 [36864/48750]	Loss: 0.5763	LR: 0.100000
Training Epoch: 7 [37120/48750]	Loss: 0.5930	LR: 0.100000
Training Epoch: 7 [37376/48750]	Loss: 0.5356	LR: 0.100000
Training Epoch: 7 [37632/48750]	Loss: 0.5203	LR: 0.100000
Training Epoch: 7 [37888/48750]	Loss: 0.5874	LR: 0.100000
Training Epoch: 7 [38144/48750]	Loss: 0.6028	LR: 0.100000
Training Epoch: 7 [38400/48750]	Loss: 0.5672	LR: 0.100000
Training Epoch: 7 [38656/48750]	Loss: 0.5646	LR: 0.100000
Training Epoch: 7 [38912/48750]	Loss: 0.5927	LR: 0.100000
Training Epoch: 7 [39168/48750]	Loss: 0.5962	LR: 0.100000
Training Epoch: 7 [39424/48750]	Loss: 0.6200	LR: 0.100000
Training Epoch: 7 [39680/48750]	Loss: 0.6645	LR: 0.100000
Training Epoch: 7 [39936/48750]	Loss: 0.5831	LR: 0.100000
Training Epoch: 7 [40192/48750]	Loss: 0.4833	LR: 0.100000
Training Epoch: 7 [40448/48750]	Loss: 0.4943	LR: 0.100000
Training Epoch: 7 [40704/48750]	Loss: 0.5827	LR: 0.100000
Training Epoch: 7 [40960/48750]	Loss: 0.6241	LR: 0.100000
Training Epoch: 7 [41216/48750]	Loss: 0.5155	LR: 0.100000
Training Epoch: 7 [41472/48750]	Loss: 0.6613	LR: 0.100000
Training Epoch: 7 [41728/48750]	Loss: 0.5674	LR: 0.100000
Training Epoch: 7 [41984/48750]	Loss: 0.6048	LR: 0.100000
Training Epoch: 7 [42240/48750]	Loss: 0.5962	LR: 0.100000
Training Epoch: 7 [42496/48750]	Loss: 0.6614	LR: 0.100000
Training Epoch: 7 [42752/48750]	Loss: 0.6166	LR: 0.100000
Training Epoch: 7 [43008/48750]	Loss: 0.5646	LR: 0.100000
Training Epoch: 7 [43264/48750]	Loss: 0.6120	LR: 0.100000
Training Epoch: 7 [43520/48750]	Loss: 0.5253	LR: 0.100000
Training Epoch: 7 [43776/48750]	Loss: 0.5042	LR: 0.100000
Training Epoch: 7 [44032/48750]	Loss: 0.4571	LR: 0.100000
Training Epoch: 7 [44288/48750]	Loss: 0.5598	LR: 0.100000
Training Epoch: 7 [44544/48750]	Loss: 0.5510	LR: 0.100000
Training Epoch: 7 [44800/48750]	Loss: 0.5319	LR: 0.100000
Training Epoch: 7 [45056/48750]	Loss: 0.5233	LR: 0.100000
Training Epoch: 7 [45312/48750]	Loss: 0.4992	LR: 0.100000
Training Epoch: 7 [45568/48750]	Loss: 0.4897	LR: 0.100000
Training Epoch: 7 [45824/48750]	Loss: 0.5761	LR: 0.100000
Training Epoch: 7 [46080/48750]	Loss: 0.6353	LR: 0.100000
Training Epoch: 7 [46336/48750]	Loss: 0.5430	LR: 0.100000
Training Epoch: 7 [46592/48750]	Loss: 0.5507	LR: 0.100000
Training Epoch: 7 [46848/48750]	Loss: 0.5059	LR: 0.100000
Training Epoch: 7 [47104/48750]	Loss: 0.5409	LR: 0.100000
Training Epoch: 7 [47360/48750]	Loss: 0.5170	LR: 0.100000
Training Epoch: 7 [47616/48750]	Loss: 0.4685	LR: 0.100000
Training Epoch: 7 [47872/48750]	Loss: 0.5158	LR: 0.100000
Training Epoch: 7 [48128/48750]	Loss: 0.5654	LR: 0.100000
Training Epoch: 7 [48384/48750]	Loss: 0.5840	LR: 0.100000
Training Epoch: 7 [48640/48750]	Loss: 0.5050	LR: 0.100000
Training Epoch: 7 [48750/48750]	Loss: 0.4907	LR: 0.100000
Epoch 7 - Average Train Loss: 0.5821, Train Accuracy: 0.7968
Epoch 7 training time consumed: 29.21s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0026, Accuracy: 0.7812, Time consumed:0.92s
Training Epoch: 8 [256/48750]	Loss: 0.5005	LR: 0.020000
Training Epoch: 8 [512/48750]	Loss: 0.5601	LR: 0.020000
Training Epoch: 8 [768/48750]	Loss: 0.4562	LR: 0.020000
Training Epoch: 8 [1024/48750]	Loss: 0.6009	LR: 0.020000
Training Epoch: 8 [1280/48750]	Loss: 0.5060	LR: 0.020000
Training Epoch: 8 [1536/48750]	Loss: 0.4860	LR: 0.020000
Training Epoch: 8 [1792/48750]	Loss: 0.4712	LR: 0.020000
Training Epoch: 8 [2048/48750]	Loss: 0.5165	LR: 0.020000
Training Epoch: 8 [2304/48750]	Loss: 0.4662	LR: 0.020000
Training Epoch: 8 [2560/48750]	Loss: 0.4595	LR: 0.020000
Training Epoch: 8 [2816/48750]	Loss: 0.4885	LR: 0.020000
Training Epoch: 8 [3072/48750]	Loss: 0.4995	LR: 0.020000
Training Epoch: 8 [3328/48750]	Loss: 0.4934	LR: 0.020000
Training Epoch: 8 [3584/48750]	Loss: 0.4619	LR: 0.020000
Training Epoch: 8 [3840/48750]	Loss: 0.5147	LR: 0.020000
Training Epoch: 8 [4096/48750]	Loss: 0.4459	LR: 0.020000
Training Epoch: 8 [4352/48750]	Loss: 0.4599	LR: 0.020000
Training Epoch: 8 [4608/48750]	Loss: 0.4593	LR: 0.020000
Training Epoch: 8 [4864/48750]	Loss: 0.4819	LR: 0.020000
Training Epoch: 8 [5120/48750]	Loss: 0.4704	LR: 0.020000
Training Epoch: 8 [5376/48750]	Loss: 0.4789	LR: 0.020000
Training Epoch: 8 [5632/48750]	Loss: 0.4496	LR: 0.020000
Training Epoch: 8 [5888/48750]	Loss: 0.4570	LR: 0.020000
Training Epoch: 8 [6144/48750]	Loss: 0.5037	LR: 0.020000
Training Epoch: 8 [6400/48750]	Loss: 0.4519	LR: 0.020000
Training Epoch: 8 [6656/48750]	Loss: 0.4089	LR: 0.020000
Training Epoch: 8 [6912/48750]	Loss: 0.4289	LR: 0.020000
Training Epoch: 8 [7168/48750]	Loss: 0.4962	LR: 0.020000
Training Epoch: 8 [7424/48750]	Loss: 0.4962	LR: 0.020000
Training Epoch: 8 [7680/48750]	Loss: 0.4465	LR: 0.020000
Training Epoch: 8 [7936/48750]	Loss: 0.4659	LR: 0.020000
Training Epoch: 8 [8192/48750]	Loss: 0.4496	LR: 0.020000
Training Epoch: 8 [8448/48750]	Loss: 0.4190	LR: 0.020000
Training Epoch: 8 [8704/48750]	Loss: 0.5010	LR: 0.020000
Training Epoch: 8 [8960/48750]	Loss: 0.4607	LR: 0.020000
Training Epoch: 8 [9216/48750]	Loss: 0.3941	LR: 0.020000
Training Epoch: 8 [9472/48750]	Loss: 0.4256	LR: 0.020000
Training Epoch: 8 [9728/48750]	Loss: 0.4473	LR: 0.020000
Training Epoch: 8 [9984/48750]	Loss: 0.4650	LR: 0.020000
Training Epoch: 8 [10240/48750]	Loss: 0.5297	LR: 0.020000
Training Epoch: 8 [10496/48750]	Loss: 0.4703	LR: 0.020000
Training Epoch: 8 [10752/48750]	Loss: 0.4364	LR: 0.020000
Training Epoch: 8 [11008/48750]	Loss: 0.3895	LR: 0.020000
Training Epoch: 8 [11264/48750]	Loss: 0.4247	LR: 0.020000
Training Epoch: 8 [11520/48750]	Loss: 0.4749	LR: 0.020000
Training Epoch: 8 [11776/48750]	Loss: 0.4035	LR: 0.020000
Training Epoch: 8 [12032/48750]	Loss: 0.3729	LR: 0.020000
Training Epoch: 8 [12288/48750]	Loss: 0.4442	LR: 0.020000
Training Epoch: 8 [12544/48750]	Loss: 0.3758	LR: 0.020000
Training Epoch: 8 [12800/48750]	Loss: 0.4450	LR: 0.020000
Training Epoch: 8 [13056/48750]	Loss: 0.5063	LR: 0.020000
Training Epoch: 8 [13312/48750]	Loss: 0.5331	LR: 0.020000
Training Epoch: 8 [13568/48750]	Loss: 0.3733	LR: 0.020000
Training Epoch: 8 [13824/48750]	Loss: 0.4939	LR: 0.020000
Training Epoch: 8 [14080/48750]	Loss: 0.4865	LR: 0.020000
Training Epoch: 8 [14336/48750]	Loss: 0.3830	LR: 0.020000
Training Epoch: 8 [14592/48750]	Loss: 0.5519	LR: 0.020000
Training Epoch: 8 [14848/48750]	Loss: 0.3464	LR: 0.020000
Training Epoch: 8 [15104/48750]	Loss: 0.5077	LR: 0.020000
Training Epoch: 8 [15360/48750]	Loss: 0.5056	LR: 0.020000
Training Epoch: 8 [15616/48750]	Loss: 0.3735	LR: 0.020000
Training Epoch: 8 [15872/48750]	Loss: 0.3650	LR: 0.020000
Training Epoch: 8 [16128/48750]	Loss: 0.3797	LR: 0.020000
Training Epoch: 8 [16384/48750]	Loss: 0.3984	LR: 0.020000
Training Epoch: 8 [16640/48750]	Loss: 0.4399	LR: 0.020000
Training Epoch: 8 [16896/48750]	Loss: 0.3978	LR: 0.020000
Training Epoch: 8 [17152/48750]	Loss: 0.4111	LR: 0.020000
Training Epoch: 8 [17408/48750]	Loss: 0.4003	LR: 0.020000
Training Epoch: 8 [17664/48750]	Loss: 0.4869	LR: 0.020000
Training Epoch: 8 [17920/48750]	Loss: 0.3487	LR: 0.020000
Training Epoch: 8 [18176/48750]	Loss: 0.4829	LR: 0.020000
Training Epoch: 8 [18432/48750]	Loss: 0.4007	LR: 0.020000
Training Epoch: 8 [18688/48750]	Loss: 0.4873	LR: 0.020000
Training Epoch: 8 [18944/48750]	Loss: 0.4758	LR: 0.020000
Training Epoch: 8 [19200/48750]	Loss: 0.5399	LR: 0.020000
Training Epoch: 8 [19456/48750]	Loss: 0.3679	LR: 0.020000
Training Epoch: 8 [19712/48750]	Loss: 0.4789	LR: 0.020000
Training Epoch: 8 [19968/48750]	Loss: 0.4358	LR: 0.020000
Training Epoch: 8 [20224/48750]	Loss: 0.4014	LR: 0.020000
Training Epoch: 8 [20480/48750]	Loss: 0.4570	LR: 0.020000
Training Epoch: 8 [20736/48750]	Loss: 0.5074	LR: 0.020000
Training Epoch: 8 [20992/48750]	Loss: 0.3165	LR: 0.020000
Training Epoch: 8 [21248/48750]	Loss: 0.4577	LR: 0.020000
Training Epoch: 8 [21504/48750]	Loss: 0.3889	LR: 0.020000
Training Epoch: 8 [21760/48750]	Loss: 0.3570	LR: 0.020000
Training Epoch: 8 [22016/48750]	Loss: 0.3394	LR: 0.020000
Training Epoch: 8 [22272/48750]	Loss: 0.3893	LR: 0.020000
Training Epoch: 8 [22528/48750]	Loss: 0.4274	LR: 0.020000
Training Epoch: 8 [22784/48750]	Loss: 0.4219	LR: 0.020000
Training Epoch: 8 [23040/48750]	Loss: 0.4335	LR: 0.020000
Training Epoch: 8 [23296/48750]	Loss: 0.3905	LR: 0.020000
Training Epoch: 8 [23552/48750]	Loss: 0.3755	LR: 0.020000
Training Epoch: 8 [23808/48750]	Loss: 0.4443	LR: 0.020000
Training Epoch: 8 [24064/48750]	Loss: 0.3764	LR: 0.020000
Training Epoch: 8 [24320/48750]	Loss: 0.4611	LR: 0.020000
Training Epoch: 8 [24576/48750]	Loss: 0.3586	LR: 0.020000
Training Epoch: 8 [24832/48750]	Loss: 0.4674	LR: 0.020000
Training Epoch: 8 [25088/48750]	Loss: 0.4450	LR: 0.020000
Training Epoch: 8 [25344/48750]	Loss: 0.4395	LR: 0.020000
Training Epoch: 8 [25600/48750]	Loss: 0.4999	LR: 0.020000
Training Epoch: 8 [25856/48750]	Loss: 0.4054	LR: 0.020000
Training Epoch: 8 [26112/48750]	Loss: 0.4454	LR: 0.020000
Training Epoch: 8 [26368/48750]	Loss: 0.4490	LR: 0.020000
Training Epoch: 8 [26624/48750]	Loss: 0.3915	LR: 0.020000
Training Epoch: 8 [26880/48750]	Loss: 0.3915	LR: 0.020000
Training Epoch: 8 [27136/48750]	Loss: 0.3422	LR: 0.020000
Training Epoch: 8 [27392/48750]	Loss: 0.4705	LR: 0.020000
Training Epoch: 8 [27648/48750]	Loss: 0.5018	LR: 0.020000
Training Epoch: 8 [27904/48750]	Loss: 0.3160	LR: 0.020000
Training Epoch: 8 [28160/48750]	Loss: 0.4070	LR: 0.020000
Training Epoch: 8 [28416/48750]	Loss: 0.3750	LR: 0.020000
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Training Epoch: 8 [45056/48750]	Loss: 0.5253	LR: 0.020000
Training Epoch: 8 [45312/48750]	Loss: 0.3795	LR: 0.020000
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Training Epoch: 8 [46080/48750]	Loss: 0.4136	LR: 0.020000
Training Epoch: 8 [46336/48750]	Loss: 0.4573	LR: 0.020000
Training Epoch: 8 [46592/48750]	Loss: 0.4457	LR: 0.020000
Training Epoch: 8 [46848/48750]	Loss: 0.4083	LR: 0.020000
Training Epoch: 8 [47104/48750]	Loss: 0.3957	LR: 0.020000
Training Epoch: 8 [47360/48750]	Loss: 0.4821	LR: 0.020000
Training Epoch: 8 [47616/48750]	Loss: 0.3538	LR: 0.020000
Training Epoch: 8 [47872/48750]	Loss: 0.4097	LR: 0.020000
Training Epoch: 8 [48128/48750]	Loss: 0.3632	LR: 0.020000
Training Epoch: 8 [48384/48750]	Loss: 0.3489	LR: 0.020000
Training Epoch: 8 [48640/48750]	Loss: 0.3769	LR: 0.020000
Training Epoch: 8 [48750/48750]	Loss: 0.4099	LR: 0.020000
Epoch 8 - Average Train Loss: 0.4349, Train Accuracy: 0.8479
Epoch 8 training time consumed: 29.18s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0016, Accuracy: 0.8615, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_18h_17m_35s/ResNet18-Cifar10-seed10-ret75-8-best.pth
Training Epoch: 9 [256/48750]	Loss: 0.3468	LR: 0.020000
Training Epoch: 9 [512/48750]	Loss: 0.4418	LR: 0.020000
Training Epoch: 9 [768/48750]	Loss: 0.4278	LR: 0.020000
Training Epoch: 9 [1024/48750]	Loss: 0.3382	LR: 0.020000
Training Epoch: 9 [1280/48750]	Loss: 0.3846	LR: 0.020000
Training Epoch: 9 [1536/48750]	Loss: 0.4021	LR: 0.020000
Training Epoch: 9 [1792/48750]	Loss: 0.3837	LR: 0.020000
Training Epoch: 9 [2048/48750]	Loss: 0.4448	LR: 0.020000
Training Epoch: 9 [2304/48750]	Loss: 0.4032	LR: 0.020000
Training Epoch: 9 [2560/48750]	Loss: 0.2739	LR: 0.020000
Training Epoch: 9 [2816/48750]	Loss: 0.4024	LR: 0.020000
Training Epoch: 9 [3072/48750]	Loss: 0.4950	LR: 0.020000
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Training Epoch: 9 [3840/48750]	Loss: 0.4538	LR: 0.020000
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Training Epoch: 9 [46336/48750]	Loss: 0.3708	LR: 0.020000
Training Epoch: 9 [46592/48750]	Loss: 0.3493	LR: 0.020000
Training Epoch: 9 [46848/48750]	Loss: 0.4062	LR: 0.020000
Training Epoch: 9 [47104/48750]	Loss: 0.3100	LR: 0.020000
Training Epoch: 9 [47360/48750]	Loss: 0.4130	LR: 0.020000
Training Epoch: 9 [47616/48750]	Loss: 0.3885	LR: 0.020000
Training Epoch: 9 [47872/48750]	Loss: 0.4354	LR: 0.020000
Training Epoch: 9 [48128/48750]	Loss: 0.4243	LR: 0.020000
Training Epoch: 9 [48384/48750]	Loss: 0.4400	LR: 0.020000
Training Epoch: 9 [48640/48750]	Loss: 0.3570	LR: 0.020000
Training Epoch: 9 [48750/48750]	Loss: 0.5573	LR: 0.020000
Epoch 9 - Average Train Loss: 0.3906, Train Accuracy: 0.8638
Epoch 9 training time consumed: 29.25s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0016, Accuracy: 0.8636, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_18h_17m_35s/ResNet18-Cifar10-seed10-ret75-9-best.pth
Training Epoch: 10 [256/48750]	Loss: 0.3213	LR: 0.020000
Training Epoch: 10 [512/48750]	Loss: 0.2466	LR: 0.020000
Training Epoch: 10 [768/48750]	Loss: 0.3413	LR: 0.020000
Training Epoch: 10 [1024/48750]	Loss: 0.4005	LR: 0.020000
Training Epoch: 10 [1280/48750]	Loss: 0.3626	LR: 0.020000
Training Epoch: 10 [1536/48750]	Loss: 0.3408	LR: 0.020000
Training Epoch: 10 [1792/48750]	Loss: 0.3642	LR: 0.020000
Training Epoch: 10 [2048/48750]	Loss: 0.4092	LR: 0.020000
Training Epoch: 10 [2304/48750]	Loss: 0.4119	LR: 0.020000
Training Epoch: 10 [2560/48750]	Loss: 0.3810	LR: 0.020000
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Training Epoch: 10 [48128/48750]	Loss: 0.5011	LR: 0.020000
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Training Epoch: 10 [48640/48750]	Loss: 0.3480	LR: 0.020000
Training Epoch: 10 [48750/48750]	Loss: 0.3761	LR: 0.020000
Epoch 10 - Average Train Loss: 0.3682, Train Accuracy: 0.8705
Epoch 10 training time consumed: 29.06s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0015, Accuracy: 0.8704, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_18h_17m_35s/ResNet18-Cifar10-seed10-ret75-10-best.pth
Training Epoch: 11 [256/48750]	Loss: 0.3837	LR: 0.020000
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Training Epoch: 11 [768/48750]	Loss: 0.3719	LR: 0.020000
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Training Epoch: 11 [1536/48750]	Loss: 0.3684	LR: 0.020000
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Training Epoch: 11 [26624/48750]	Loss: 0.4017	LR: 0.020000
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Training Epoch: 11 [30208/48750]	Loss: 0.3922	LR: 0.020000
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Training Epoch: 11 [30720/48750]	Loss: 0.3335	LR: 0.020000
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Training Epoch: 11 [31232/48750]	Loss: 0.3174	LR: 0.020000
Training Epoch: 11 [31488/48750]	Loss: 0.3652	LR: 0.020000
Training Epoch: 11 [31744/48750]	Loss: 0.3357	LR: 0.020000
Training Epoch: 11 [32000/48750]	Loss: 0.4253	LR: 0.020000
Training Epoch: 11 [32256/48750]	Loss: 0.3820	LR: 0.020000
Training Epoch: 11 [32512/48750]	Loss: 0.5216	LR: 0.020000
Training Epoch: 11 [32768/48750]	Loss: 0.3088	LR: 0.020000
Training Epoch: 11 [33024/48750]	Loss: 0.3546	LR: 0.020000
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Training Epoch: 11 [44032/48750]	Loss: 0.3629	LR: 0.020000
Training Epoch: 11 [44288/48750]	Loss: 0.3054	LR: 0.020000
Training Epoch: 11 [44544/48750]	Loss: 0.2580	LR: 0.020000
Training Epoch: 11 [44800/48750]	Loss: 0.3150	LR: 0.020000
Training Epoch: 11 [45056/48750]	Loss: 0.3025	LR: 0.020000
Training Epoch: 11 [45312/48750]	Loss: 0.2787	LR: 0.020000
Training Epoch: 11 [45568/48750]	Loss: 0.3177	LR: 0.020000
Training Epoch: 11 [45824/48750]	Loss: 0.3188	LR: 0.020000
Training Epoch: 11 [46080/48750]	Loss: 0.3163	LR: 0.020000
Training Epoch: 11 [46336/48750]	Loss: 0.4012	LR: 0.020000
Training Epoch: 11 [46592/48750]	Loss: 0.3517	LR: 0.020000
Training Epoch: 11 [46848/48750]	Loss: 0.3206	LR: 0.020000
Training Epoch: 11 [47104/48750]	Loss: 0.3235	LR: 0.020000
Training Epoch: 11 [47360/48750]	Loss: 0.3064	LR: 0.020000
Training Epoch: 11 [47616/48750]	Loss: 0.3858	LR: 0.020000
Training Epoch: 11 [47872/48750]	Loss: 0.2727	LR: 0.020000
Training Epoch: 11 [48128/48750]	Loss: 0.4060	LR: 0.020000
Training Epoch: 11 [48384/48750]	Loss: 0.4571	LR: 0.020000
Training Epoch: 11 [48640/48750]	Loss: 0.3189	LR: 0.020000
Training Epoch: 11 [48750/48750]	Loss: 0.3294	LR: 0.020000
Epoch 11 - Average Train Loss: 0.3566, Train Accuracy: 0.8748
Epoch 11 training time consumed: 29.18s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0015, Accuracy: 0.8744, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_18h_17m_35s/ResNet18-Cifar10-seed10-ret75-11-best.pth
Training Epoch: 12 [256/48750]	Loss: 0.4377	LR: 0.004000
Training Epoch: 12 [512/48750]	Loss: 0.3282	LR: 0.004000
Training Epoch: 12 [768/48750]	Loss: 0.3232	LR: 0.004000
Training Epoch: 12 [1024/48750]	Loss: 0.3309	LR: 0.004000
Training Epoch: 12 [1280/48750]	Loss: 0.3196	LR: 0.004000
Training Epoch: 12 [1536/48750]	Loss: 0.2826	LR: 0.004000
Training Epoch: 12 [1792/48750]	Loss: 0.3199	LR: 0.004000
Training Epoch: 12 [2048/48750]	Loss: 0.3451	LR: 0.004000
Training Epoch: 12 [2304/48750]	Loss: 0.2553	LR: 0.004000
Training Epoch: 12 [2560/48750]	Loss: 0.3431	LR: 0.004000
Training Epoch: 12 [2816/48750]	Loss: 0.3910	LR: 0.004000
Training Epoch: 12 [3072/48750]	Loss: 0.3617	LR: 0.004000
Training Epoch: 12 [3328/48750]	Loss: 0.2951	LR: 0.004000
Training Epoch: 12 [3584/48750]	Loss: 0.3622	LR: 0.004000
Training Epoch: 12 [3840/48750]	Loss: 0.3455	LR: 0.004000
Training Epoch: 12 [4096/48750]	Loss: 0.3269	LR: 0.004000
Training Epoch: 12 [4352/48750]	Loss: 0.3179	LR: 0.004000
Training Epoch: 12 [4608/48750]	Loss: 0.3677	LR: 0.004000
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Training Epoch: 12 [16128/48750]	Loss: 0.3237	LR: 0.004000
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Training Epoch: 12 [16640/48750]	Loss: 0.3186	LR: 0.004000
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Training Epoch: 12 [26880/48750]	Loss: 0.2882	LR: 0.004000
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Training Epoch: 12 [27904/48750]	Loss: 0.2566	LR: 0.004000
Training Epoch: 12 [28160/48750]	Loss: 0.3209	LR: 0.004000
Training Epoch: 12 [28416/48750]	Loss: 0.2955	LR: 0.004000
Training Epoch: 12 [28672/48750]	Loss: 0.2665	LR: 0.004000
Training Epoch: 12 [28928/48750]	Loss: 0.2928	LR: 0.004000
Training Epoch: 12 [29184/48750]	Loss: 0.2455	LR: 0.004000
Training Epoch: 12 [29440/48750]	Loss: 0.3365	LR: 0.004000
Training Epoch: 12 [29696/48750]	Loss: 0.2450	LR: 0.004000
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Training Epoch: 12 [33536/48750]	Loss: 0.2827	LR: 0.004000
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Training Epoch: 12 [36096/48750]	Loss: 0.2936	LR: 0.004000
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Training Epoch: 12 [38656/48750]	Loss: 0.2361	LR: 0.004000
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Training Epoch: 12 [40192/48750]	Loss: 0.2971	LR: 0.004000
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Training Epoch: 12 [43264/48750]	Loss: 0.2336	LR: 0.004000
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Training Epoch: 12 [43776/48750]	Loss: 0.3492	LR: 0.004000
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Training Epoch: 12 [45056/48750]	Loss: 0.2903	LR: 0.004000
Training Epoch: 12 [45312/48750]	Loss: 0.3034	LR: 0.004000
Training Epoch: 12 [45568/48750]	Loss: 0.3126	LR: 0.004000
Training Epoch: 12 [45824/48750]	Loss: 0.2832	LR: 0.004000
Training Epoch: 12 [46080/48750]	Loss: 0.2371	LR: 0.004000
Training Epoch: 12 [46336/48750]	Loss: 0.3518	LR: 0.004000
Training Epoch: 12 [46592/48750]	Loss: 0.3837	LR: 0.004000
Training Epoch: 12 [46848/48750]	Loss: 0.3569	LR: 0.004000
Training Epoch: 12 [47104/48750]	Loss: 0.3025	LR: 0.004000
Training Epoch: 12 [47360/48750]	Loss: 0.3079	LR: 0.004000
Training Epoch: 12 [47616/48750]	Loss: 0.2655	LR: 0.004000
Training Epoch: 12 [47872/48750]	Loss: 0.3334	LR: 0.004000
Training Epoch: 12 [48128/48750]	Loss: 0.3721	LR: 0.004000
Training Epoch: 12 [48384/48750]	Loss: 0.2552	LR: 0.004000
Training Epoch: 12 [48640/48750]	Loss: 0.2674	LR: 0.004000
Training Epoch: 12 [48750/48750]	Loss: 0.3093	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3111, Train Accuracy: 0.8920
Epoch 12 training time consumed: 29.22s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0013, Accuracy: 0.8887, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_18h_17m_35s/ResNet18-Cifar10-seed10-ret75-12-best.pth
Training Epoch: 13 [256/48750]	Loss: 0.3086	LR: 0.004000
Training Epoch: 13 [512/48750]	Loss: 0.3259	LR: 0.004000
Training Epoch: 13 [768/48750]	Loss: 0.3143	LR: 0.004000
Training Epoch: 13 [1024/48750]	Loss: 0.3184	LR: 0.004000
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Training Epoch: 13 [47616/48750]	Loss: 0.2392	LR: 0.004000
Training Epoch: 13 [47872/48750]	Loss: 0.3807	LR: 0.004000
Training Epoch: 13 [48128/48750]	Loss: 0.3367	LR: 0.004000
Training Epoch: 13 [48384/48750]	Loss: 0.3285	LR: 0.004000
Training Epoch: 13 [48640/48750]	Loss: 0.3123	LR: 0.004000
Training Epoch: 13 [48750/48750]	Loss: 0.3380	LR: 0.004000
Epoch 13 - Average Train Loss: 0.2954, Train Accuracy: 0.8986
Epoch 13 training time consumed: 29.21s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0013, Accuracy: 0.8901, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_18h_17m_35s/ResNet18-Cifar10-seed10-ret75-13-best.pth
Training Epoch: 14 [256/48750]	Loss: 0.3592	LR: 0.004000
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Training Epoch: 14 [768/48750]	Loss: 0.2001	LR: 0.004000
Training Epoch: 14 [1024/48750]	Loss: 0.3109	LR: 0.004000
Training Epoch: 14 [1280/48750]	Loss: 0.3008	LR: 0.004000
Training Epoch: 14 [1536/48750]	Loss: 0.2920	LR: 0.004000
Training Epoch: 14 [1792/48750]	Loss: 0.3895	LR: 0.004000
Training Epoch: 14 [2048/48750]	Loss: 0.2557	LR: 0.004000
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Training Epoch: 14 [24576/48750]	Loss: 0.2731	LR: 0.004000
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Training Epoch: 14 [25088/48750]	Loss: 0.2573	LR: 0.004000
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Training Epoch: 14 [43776/48750]	Loss: 0.2885	LR: 0.004000
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Training Epoch: 14 [44288/48750]	Loss: 0.3477	LR: 0.004000
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Training Epoch: 14 [44800/48750]	Loss: 0.2718	LR: 0.004000
Training Epoch: 14 [45056/48750]	Loss: 0.3105	LR: 0.004000
Training Epoch: 14 [45312/48750]	Loss: 0.2255	LR: 0.004000
Training Epoch: 14 [45568/48750]	Loss: 0.2188	LR: 0.004000
Training Epoch: 14 [45824/48750]	Loss: 0.2395	LR: 0.004000
Training Epoch: 14 [46080/48750]	Loss: 0.3420	LR: 0.004000
Training Epoch: 14 [46336/48750]	Loss: 0.2450	LR: 0.004000
Training Epoch: 14 [46592/48750]	Loss: 0.2965	LR: 0.004000
Training Epoch: 14 [46848/48750]	Loss: 0.3023	LR: 0.004000
Training Epoch: 14 [47104/48750]	Loss: 0.2611	LR: 0.004000
Training Epoch: 14 [47360/48750]	Loss: 0.2876	LR: 0.004000
Training Epoch: 14 [47616/48750]	Loss: 0.2477	LR: 0.004000
Training Epoch: 14 [47872/48750]	Loss: 0.3073	LR: 0.004000
Training Epoch: 14 [48128/48750]	Loss: 0.2767	LR: 0.004000
Training Epoch: 14 [48384/48750]	Loss: 0.3476	LR: 0.004000
Training Epoch: 14 [48640/48750]	Loss: 0.2751	LR: 0.004000
Training Epoch: 14 [48750/48750]	Loss: 0.2612	LR: 0.004000
Epoch 14 - Average Train Loss: 0.2861, Train Accuracy: 0.8994
Epoch 14 training time consumed: 29.19s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0013, Accuracy: 0.8919, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_18h_17m_35s/ResNet18-Cifar10-seed10-ret75-14-best.pth
Training Epoch: 15 [256/48750]	Loss: 0.3600	LR: 0.004000
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Training Epoch: 15 [45824/48750]	Loss: 0.3019	LR: 0.004000
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Training Epoch: 15 [46336/48750]	Loss: 0.2731	LR: 0.004000
Training Epoch: 15 [46592/48750]	Loss: 0.2426	LR: 0.004000
Training Epoch: 15 [46848/48750]	Loss: 0.2652	LR: 0.004000
Training Epoch: 15 [47104/48750]	Loss: 0.2995	LR: 0.004000
Training Epoch: 15 [47360/48750]	Loss: 0.2774	LR: 0.004000
Training Epoch: 15 [47616/48750]	Loss: 0.4032	LR: 0.004000
Training Epoch: 15 [47872/48750]	Loss: 0.2619	LR: 0.004000
Training Epoch: 15 [48128/48750]	Loss: 0.3292	LR: 0.004000
Training Epoch: 15 [48384/48750]	Loss: 0.3027	LR: 0.004000
Training Epoch: 15 [48640/48750]	Loss: 0.2509	LR: 0.004000
Training Epoch: 15 [48750/48750]	Loss: 0.2669	LR: 0.004000
Epoch 15 - Average Train Loss: 0.2803, Train Accuracy: 0.9021
Epoch 15 training time consumed: 29.32s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0013, Accuracy: 0.8925, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_18h_17m_35s/ResNet18-Cifar10-seed10-ret75-15-best.pth
Training Epoch: 16 [256/48750]	Loss: 0.2282	LR: 0.000800
Training Epoch: 16 [512/48750]	Loss: 0.3240	LR: 0.000800
Training Epoch: 16 [768/48750]	Loss: 0.2767	LR: 0.000800
Training Epoch: 16 [1024/48750]	Loss: 0.2682	LR: 0.000800
Training Epoch: 16 [1280/48750]	Loss: 0.2471	LR: 0.000800
Training Epoch: 16 [1536/48750]	Loss: 0.2624	LR: 0.000800
Training Epoch: 16 [1792/48750]	Loss: 0.2924	LR: 0.000800
Training Epoch: 16 [2048/48750]	Loss: 0.3147	LR: 0.000800
Training Epoch: 16 [2304/48750]	Loss: 0.2878	LR: 0.000800
Training Epoch: 16 [2560/48750]	Loss: 0.2711	LR: 0.000800
Training Epoch: 16 [2816/48750]	Loss: 0.1498	LR: 0.000800
Training Epoch: 16 [3072/48750]	Loss: 0.2423	LR: 0.000800
Training Epoch: 16 [3328/48750]	Loss: 0.2735	LR: 0.000800
Training Epoch: 16 [3584/48750]	Loss: 0.1952	LR: 0.000800
Training Epoch: 16 [3840/48750]	Loss: 0.2844	LR: 0.000800
Training Epoch: 16 [4096/48750]	Loss: 0.2905	LR: 0.000800
Training Epoch: 16 [4352/48750]	Loss: 0.2783	LR: 0.000800
Training Epoch: 16 [4608/48750]	Loss: 0.3044	LR: 0.000800
Training Epoch: 16 [4864/48750]	Loss: 0.3117	LR: 0.000800
Training Epoch: 16 [5120/48750]	Loss: 0.2080	LR: 0.000800
Training Epoch: 16 [5376/48750]	Loss: 0.2872	LR: 0.000800
Training Epoch: 16 [5632/48750]	Loss: 0.2934	LR: 0.000800
Training Epoch: 16 [5888/48750]	Loss: 0.2948	LR: 0.000800
Training Epoch: 16 [6144/48750]	Loss: 0.2634	LR: 0.000800
Training Epoch: 16 [6400/48750]	Loss: 0.2482	LR: 0.000800
Training Epoch: 16 [6656/48750]	Loss: 0.2719	LR: 0.000800
Training Epoch: 16 [6912/48750]	Loss: 0.3479	LR: 0.000800
Training Epoch: 16 [7168/48750]	Loss: 0.2659	LR: 0.000800
Training Epoch: 16 [7424/48750]	Loss: 0.2332	LR: 0.000800
Training Epoch: 16 [7680/48750]	Loss: 0.3279	LR: 0.000800
Training Epoch: 16 [7936/48750]	Loss: 0.2470	LR: 0.000800
Training Epoch: 16 [8192/48750]	Loss: 0.2022	LR: 0.000800
Training Epoch: 16 [8448/48750]	Loss: 0.2449	LR: 0.000800
Training Epoch: 16 [8704/48750]	Loss: 0.2557	LR: 0.000800
Training Epoch: 16 [8960/48750]	Loss: 0.2940	LR: 0.000800
Training Epoch: 16 [9216/48750]	Loss: 0.3007	LR: 0.000800
Training Epoch: 16 [9472/48750]	Loss: 0.2348	LR: 0.000800
Training Epoch: 16 [9728/48750]	Loss: 0.2491	LR: 0.000800
Training Epoch: 16 [9984/48750]	Loss: 0.3103	LR: 0.000800
Training Epoch: 16 [10240/48750]	Loss: 0.3154	LR: 0.000800
Training Epoch: 16 [10496/48750]	Loss: 0.2593	LR: 0.000800
Training Epoch: 16 [10752/48750]	Loss: 0.2573	LR: 0.000800
Training Epoch: 16 [11008/48750]	Loss: 0.2273	LR: 0.000800
Training Epoch: 16 [11264/48750]	Loss: 0.1951	LR: 0.000800
Training Epoch: 16 [11520/48750]	Loss: 0.2613	LR: 0.000800
Training Epoch: 16 [11776/48750]	Loss: 0.2806	LR: 0.000800
Training Epoch: 16 [12032/48750]	Loss: 0.3509	LR: 0.000800
Training Epoch: 16 [12288/48750]	Loss: 0.2591	LR: 0.000800
Training Epoch: 16 [12544/48750]	Loss: 0.3188	LR: 0.000800
Training Epoch: 16 [12800/48750]	Loss: 0.2602	LR: 0.000800
Training Epoch: 16 [13056/48750]	Loss: 0.2690	LR: 0.000800
Training Epoch: 16 [13312/48750]	Loss: 0.2570	LR: 0.000800
Training Epoch: 16 [13568/48750]	Loss: 0.2417	LR: 0.000800
Training Epoch: 16 [13824/48750]	Loss: 0.3474	LR: 0.000800
Training Epoch: 16 [14080/48750]	Loss: 0.2306	LR: 0.000800
Training Epoch: 16 [14336/48750]	Loss: 0.2998	LR: 0.000800
Training Epoch: 16 [14592/48750]	Loss: 0.2240	LR: 0.000800
Training Epoch: 16 [14848/48750]	Loss: 0.2085	LR: 0.000800
Training Epoch: 16 [15104/48750]	Loss: 0.3249	LR: 0.000800
Training Epoch: 16 [15360/48750]	Loss: 0.3103	LR: 0.000800
Training Epoch: 16 [15616/48750]	Loss: 0.4077	LR: 0.000800
Training Epoch: 16 [15872/48750]	Loss: 0.2340	LR: 0.000800
Training Epoch: 16 [16128/48750]	Loss: 0.2946	LR: 0.000800
Training Epoch: 16 [16384/48750]	Loss: 0.2856	LR: 0.000800
Training Epoch: 16 [16640/48750]	Loss: 0.2413	LR: 0.000800
Training Epoch: 16 [16896/48750]	Loss: 0.2791	LR: 0.000800
Training Epoch: 16 [17152/48750]	Loss: 0.2713	LR: 0.000800
Training Epoch: 16 [17408/48750]	Loss: 0.2364	LR: 0.000800
Training Epoch: 16 [17664/48750]	Loss: 0.2838	LR: 0.000800
Training Epoch: 16 [17920/48750]	Loss: 0.3003	LR: 0.000800
Training Epoch: 16 [18176/48750]	Loss: 0.2570	LR: 0.000800
Training Epoch: 16 [18432/48750]	Loss: 0.2982	LR: 0.000800
Training Epoch: 16 [18688/48750]	Loss: 0.3199	LR: 0.000800
Training Epoch: 16 [18944/48750]	Loss: 0.3055	LR: 0.000800
Training Epoch: 16 [19200/48750]	Loss: 0.2024	LR: 0.000800
Training Epoch: 16 [19456/48750]	Loss: 0.2518	LR: 0.000800
Training Epoch: 16 [19712/48750]	Loss: 0.2516	LR: 0.000800
Training Epoch: 16 [19968/48750]	Loss: 0.2200	LR: 0.000800
Training Epoch: 16 [20224/48750]	Loss: 0.3217	LR: 0.000800
Training Epoch: 16 [20480/48750]	Loss: 0.2802	LR: 0.000800
Training Epoch: 16 [20736/48750]	Loss: 0.2506	LR: 0.000800
Training Epoch: 16 [20992/48750]	Loss: 0.2743	LR: 0.000800
Training Epoch: 16 [21248/48750]	Loss: 0.2389	LR: 0.000800
Training Epoch: 16 [21504/48750]	Loss: 0.2006	LR: 0.000800
Training Epoch: 16 [21760/48750]	Loss: 0.1926	LR: 0.000800
Training Epoch: 16 [22016/48750]	Loss: 0.2398	LR: 0.000800
Training Epoch: 16 [22272/48750]	Loss: 0.2779	LR: 0.000800
Training Epoch: 16 [22528/48750]	Loss: 0.4288	LR: 0.000800
Training Epoch: 16 [22784/48750]	Loss: 0.1708	LR: 0.000800
Training Epoch: 16 [23040/48750]	Loss: 0.3012	LR: 0.000800
Training Epoch: 16 [23296/48750]	Loss: 0.2429	LR: 0.000800
Training Epoch: 16 [23552/48750]	Loss: 0.3188	LR: 0.000800
Training Epoch: 16 [23808/48750]	Loss: 0.2978	LR: 0.000800
Training Epoch: 16 [24064/48750]	Loss: 0.3151	LR: 0.000800
Training Epoch: 16 [24320/48750]	Loss: 0.2671	LR: 0.000800
Training Epoch: 16 [24576/48750]	Loss: 0.2616	LR: 0.000800
Training Epoch: 16 [24832/48750]	Loss: 0.2613	LR: 0.000800
Training Epoch: 16 [25088/48750]	Loss: 0.2861	LR: 0.000800
Training Epoch: 16 [25344/48750]	Loss: 0.3555	LR: 0.000800
Training Epoch: 16 [25600/48750]	Loss: 0.3153	LR: 0.000800
Training Epoch: 16 [25856/48750]	Loss: 0.3009	LR: 0.000800
Training Epoch: 16 [26112/48750]	Loss: 0.3032	LR: 0.000800
Training Epoch: 16 [26368/48750]	Loss: 0.2015	LR: 0.000800
Training Epoch: 16 [26624/48750]	Loss: 0.2363	LR: 0.000800
Training Epoch: 16 [26880/48750]	Loss: 0.2430	LR: 0.000800
Training Epoch: 16 [27136/48750]	Loss: 0.2545	LR: 0.000800
Training Epoch: 16 [27392/48750]	Loss: 0.2762	LR: 0.000800
Training Epoch: 16 [27648/48750]	Loss: 0.2517	LR: 0.000800
Training Epoch: 16 [27904/48750]	Loss: 0.2656	LR: 0.000800
Training Epoch: 16 [28160/48750]	Loss: 0.3331	LR: 0.000800
Training Epoch: 16 [28416/48750]	Loss: 0.2109	LR: 0.000800
Training Epoch: 16 [28672/48750]	Loss: 0.2569	LR: 0.000800
Training Epoch: 16 [28928/48750]	Loss: 0.2472	LR: 0.000800
Training Epoch: 16 [29184/48750]	Loss: 0.2765	LR: 0.000800
Training Epoch: 16 [29440/48750]	Loss: 0.3577	LR: 0.000800
Training Epoch: 16 [29696/48750]	Loss: 0.2842	LR: 0.000800
Training Epoch: 16 [29952/48750]	Loss: 0.2646	LR: 0.000800
Training Epoch: 16 [30208/48750]	Loss: 0.1959	LR: 0.000800
Training Epoch: 16 [30464/48750]	Loss: 0.2728	LR: 0.000800
Training Epoch: 16 [30720/48750]	Loss: 0.2648	LR: 0.000800
Training Epoch: 16 [30976/48750]	Loss: 0.3196	LR: 0.000800
Training Epoch: 16 [31232/48750]	Loss: 0.1900	LR: 0.000800
Training Epoch: 16 [31488/48750]	Loss: 0.3243	LR: 0.000800
Training Epoch: 16 [31744/48750]	Loss: 0.1872	LR: 0.000800
Training Epoch: 16 [32000/48750]	Loss: 0.2961	LR: 0.000800
Training Epoch: 16 [32256/48750]	Loss: 0.2423	LR: 0.000800
Training Epoch: 16 [32512/48750]	Loss: 0.2956	LR: 0.000800
Training Epoch: 16 [32768/48750]	Loss: 0.3172	LR: 0.000800
Training Epoch: 16 [33024/48750]	Loss: 0.2393	LR: 0.000800
Training Epoch: 16 [33280/48750]	Loss: 0.1899	LR: 0.000800
Training Epoch: 16 [33536/48750]	Loss: 0.2657	LR: 0.000800
Training Epoch: 16 [33792/48750]	Loss: 0.2993	LR: 0.000800
Training Epoch: 16 [34048/48750]	Loss: 0.2480	LR: 0.000800
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Training Epoch: 16 [34560/48750]	Loss: 0.2844	LR: 0.000800
Training Epoch: 16 [34816/48750]	Loss: 0.3010	LR: 0.000800
Training Epoch: 16 [35072/48750]	Loss: 0.3144	LR: 0.000800
Training Epoch: 16 [35328/48750]	Loss: 0.3518	LR: 0.000800
Training Epoch: 16 [35584/48750]	Loss: 0.3208	LR: 0.000800
Training Epoch: 16 [35840/48750]	Loss: 0.2583	LR: 0.000800
Training Epoch: 16 [36096/48750]	Loss: 0.2601	LR: 0.000800
Training Epoch: 16 [36352/48750]	Loss: 0.1847	LR: 0.000800
Training Epoch: 16 [36608/48750]	Loss: 0.3158	LR: 0.000800
Training Epoch: 16 [36864/48750]	Loss: 0.2514	LR: 0.000800
Training Epoch: 16 [37120/48750]	Loss: 0.3039	LR: 0.000800
Training Epoch: 16 [37376/48750]	Loss: 0.2498	LR: 0.000800
Training Epoch: 16 [37632/48750]	Loss: 0.2740	LR: 0.000800
Training Epoch: 16 [37888/48750]	Loss: 0.2361	LR: 0.000800
Training Epoch: 16 [38144/48750]	Loss: 0.2706	LR: 0.000800
Training Epoch: 16 [38400/48750]	Loss: 0.2264	LR: 0.000800
Training Epoch: 16 [38656/48750]	Loss: 0.2172	LR: 0.000800
Training Epoch: 16 [38912/48750]	Loss: 0.2496	LR: 0.000800
Training Epoch: 16 [39168/48750]	Loss: 0.2012	LR: 0.000800
Training Epoch: 16 [39424/48750]	Loss: 0.3597	LR: 0.000800
Training Epoch: 16 [39680/48750]	Loss: 0.2642	LR: 0.000800
Training Epoch: 16 [39936/48750]	Loss: 0.2472	LR: 0.000800
Training Epoch: 16 [40192/48750]	Loss: 0.2952	LR: 0.000800
Training Epoch: 16 [40448/48750]	Loss: 0.2540	LR: 0.000800
Training Epoch: 16 [40704/48750]	Loss: 0.2261	LR: 0.000800
Training Epoch: 16 [40960/48750]	Loss: 0.2959	LR: 0.000800
Training Epoch: 16 [41216/48750]	Loss: 0.2917	LR: 0.000800
Training Epoch: 16 [41472/48750]	Loss: 0.2607	LR: 0.000800
Training Epoch: 16 [41728/48750]	Loss: 0.2648	LR: 0.000800
Training Epoch: 16 [41984/48750]	Loss: 0.2723	LR: 0.000800
Training Epoch: 16 [42240/48750]	Loss: 0.2948	LR: 0.000800
Training Epoch: 16 [42496/48750]	Loss: 0.3695	LR: 0.000800
Training Epoch: 16 [42752/48750]	Loss: 0.2103	LR: 0.000800
Training Epoch: 16 [43008/48750]	Loss: 0.2638	LR: 0.000800
Training Epoch: 16 [43264/48750]	Loss: 0.3571	LR: 0.000800
Training Epoch: 16 [43520/48750]	Loss: 0.2337	LR: 0.000800
Training Epoch: 16 [43776/48750]	Loss: 0.3162	LR: 0.000800
Training Epoch: 16 [44032/48750]	Loss: 0.2134	LR: 0.000800
Training Epoch: 16 [44288/48750]	Loss: 0.2267	LR: 0.000800
Training Epoch: 16 [44544/48750]	Loss: 0.2971	LR: 0.000800
Training Epoch: 16 [44800/48750]	Loss: 0.2204	LR: 0.000800
Training Epoch: 16 [45056/48750]	Loss: 0.2808	LR: 0.000800
Training Epoch: 16 [45312/48750]	Loss: 0.2311	LR: 0.000800
Training Epoch: 16 [45568/48750]	Loss: 0.1781	LR: 0.000800
Training Epoch: 16 [45824/48750]	Loss: 0.2548	LR: 0.000800
Training Epoch: 16 [46080/48750]	Loss: 0.2480	LR: 0.000800
Training Epoch: 16 [46336/48750]	Loss: 0.2851	LR: 0.000800
Training Epoch: 16 [46592/48750]	Loss: 0.2116	LR: 0.000800
Training Epoch: 16 [46848/48750]	Loss: 0.2723	LR: 0.000800
Training Epoch: 16 [47104/48750]	Loss: 0.3150	LR: 0.000800
Training Epoch: 16 [47360/48750]	Loss: 0.2882	LR: 0.000800
Training Epoch: 16 [47616/48750]	Loss: 0.3043	LR: 0.000800
Training Epoch: 16 [47872/48750]	Loss: 0.2366	LR: 0.000800
Training Epoch: 16 [48128/48750]	Loss: 0.2492	LR: 0.000800
Training Epoch: 16 [48384/48750]	Loss: 0.2183	LR: 0.000800
Training Epoch: 16 [48640/48750]	Loss: 0.2996	LR: 0.000800
Training Epoch: 16 [48750/48750]	Loss: 0.2553	LR: 0.000800
Epoch 16 - Average Train Loss: 0.2688, Train Accuracy: 0.9066
Epoch 16 training time consumed: 29.26s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0013, Accuracy: 0.8937, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_18h_17m_35s/ResNet18-Cifar10-seed10-ret75-16-best.pth
Training Epoch: 17 [256/48750]	Loss: 0.2929	LR: 0.000800
Training Epoch: 17 [512/48750]	Loss: 0.2177	LR: 0.000800
Training Epoch: 17 [768/48750]	Loss: 0.2750	LR: 0.000800
Training Epoch: 17 [1024/48750]	Loss: 0.2374	LR: 0.000800
Training Epoch: 17 [1280/48750]	Loss: 0.1954	LR: 0.000800
Training Epoch: 17 [1536/48750]	Loss: 0.2552	LR: 0.000800
Training Epoch: 17 [1792/48750]	Loss: 0.1784	LR: 0.000800
Training Epoch: 17 [2048/48750]	Loss: 0.2543	LR: 0.000800
Training Epoch: 17 [2304/48750]	Loss: 0.2737	LR: 0.000800
Training Epoch: 17 [2560/48750]	Loss: 0.2541	LR: 0.000800
Training Epoch: 17 [2816/48750]	Loss: 0.2820	LR: 0.000800
Training Epoch: 17 [3072/48750]	Loss: 0.3222	LR: 0.000800
Training Epoch: 17 [3328/48750]	Loss: 0.2489	LR: 0.000800
Training Epoch: 17 [3584/48750]	Loss: 0.1714	LR: 0.000800
Training Epoch: 17 [3840/48750]	Loss: 0.2423	LR: 0.000800
Training Epoch: 17 [4096/48750]	Loss: 0.2289	LR: 0.000800
Training Epoch: 17 [4352/48750]	Loss: 0.3405	LR: 0.000800
Training Epoch: 17 [4608/48750]	Loss: 0.2306	LR: 0.000800
Training Epoch: 17 [4864/48750]	Loss: 0.2028	LR: 0.000800
Training Epoch: 17 [5120/48750]	Loss: 0.3543	LR: 0.000800
Training Epoch: 17 [5376/48750]	Loss: 0.2431	LR: 0.000800
Training Epoch: 17 [5632/48750]	Loss: 0.2258	LR: 0.000800
Training Epoch: 17 [5888/48750]	Loss: 0.2120	LR: 0.000800
Training Epoch: 17 [6144/48750]	Loss: 0.2483	LR: 0.000800
Training Epoch: 17 [6400/48750]	Loss: 0.2851	LR: 0.000800
Training Epoch: 17 [6656/48750]	Loss: 0.2213	LR: 0.000800
Training Epoch: 17 [6912/48750]	Loss: 0.2108	LR: 0.000800
Training Epoch: 17 [7168/48750]	Loss: 0.2184	LR: 0.000800
Training Epoch: 17 [7424/48750]	Loss: 0.2746	LR: 0.000800
Training Epoch: 17 [7680/48750]	Loss: 0.2996	LR: 0.000800
Training Epoch: 17 [7936/48750]	Loss: 0.2600	LR: 0.000800
Training Epoch: 17 [8192/48750]	Loss: 0.2514	LR: 0.000800
Training Epoch: 17 [8448/48750]	Loss: 0.2164	LR: 0.000800
Training Epoch: 17 [8704/48750]	Loss: 0.2168	LR: 0.000800
Training Epoch: 17 [8960/48750]	Loss: 0.2322	LR: 0.000800
Training Epoch: 17 [9216/48750]	Loss: 0.3477	LR: 0.000800
Training Epoch: 17 [9472/48750]	Loss: 0.2381	LR: 0.000800
Training Epoch: 17 [9728/48750]	Loss: 0.2624	LR: 0.000800
Training Epoch: 17 [9984/48750]	Loss: 0.2192	LR: 0.000800
Training Epoch: 17 [10240/48750]	Loss: 0.2745	LR: 0.000800
Training Epoch: 17 [10496/48750]	Loss: 0.3203	LR: 0.000800
Training Epoch: 17 [10752/48750]	Loss: 0.3135	LR: 0.000800
Training Epoch: 17 [11008/48750]	Loss: 0.3287	LR: 0.000800
Training Epoch: 17 [11264/48750]	Loss: 0.2166	LR: 0.000800
Training Epoch: 17 [11520/48750]	Loss: 0.2885	LR: 0.000800
Training Epoch: 17 [11776/48750]	Loss: 0.3572	LR: 0.000800
Training Epoch: 17 [12032/48750]	Loss: 0.3739	LR: 0.000800
Training Epoch: 17 [12288/48750]	Loss: 0.3346	LR: 0.000800
Training Epoch: 17 [12544/48750]	Loss: 0.2944	LR: 0.000800
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Training Epoch: 17 [13056/48750]	Loss: 0.2138	LR: 0.000800
Training Epoch: 17 [13312/48750]	Loss: 0.2916	LR: 0.000800
Training Epoch: 17 [13568/48750]	Loss: 0.2021	LR: 0.000800
Training Epoch: 17 [13824/48750]	Loss: 0.2206	LR: 0.000800
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Training Epoch: 17 [14336/48750]	Loss: 0.2118	LR: 0.000800
Training Epoch: 17 [14592/48750]	Loss: 0.2746	LR: 0.000800
Training Epoch: 17 [14848/48750]	Loss: 0.3997	LR: 0.000800
Training Epoch: 17 [15104/48750]	Loss: 0.3382	LR: 0.000800
Training Epoch: 17 [15360/48750]	Loss: 0.2290	LR: 0.000800
Training Epoch: 17 [15616/48750]	Loss: 0.2935	LR: 0.000800
Training Epoch: 17 [15872/48750]	Loss: 0.3093	LR: 0.000800
Training Epoch: 17 [16128/48750]	Loss: 0.2017	LR: 0.000800
Training Epoch: 17 [16384/48750]	Loss: 0.2117	LR: 0.000800
Training Epoch: 17 [16640/48750]	Loss: 0.2312	LR: 0.000800
Training Epoch: 17 [16896/48750]	Loss: 0.2945	LR: 0.000800
Training Epoch: 17 [17152/48750]	Loss: 0.2536	LR: 0.000800
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Training Epoch: 17 [17664/48750]	Loss: 0.2828	LR: 0.000800
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Training Epoch: 17 [18176/48750]	Loss: 0.2939	LR: 0.000800
Training Epoch: 17 [18432/48750]	Loss: 0.2696	LR: 0.000800
Training Epoch: 17 [18688/48750]	Loss: 0.2807	LR: 0.000800
Training Epoch: 17 [18944/48750]	Loss: 0.2088	LR: 0.000800
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Training Epoch: 17 [19456/48750]	Loss: 0.2971	LR: 0.000800
Training Epoch: 17 [19712/48750]	Loss: 0.2417	LR: 0.000800
Training Epoch: 17 [19968/48750]	Loss: 0.3000	LR: 0.000800
Training Epoch: 17 [20224/48750]	Loss: 0.1873	LR: 0.000800
Training Epoch: 17 [20480/48750]	Loss: 0.2282	LR: 0.000800
Training Epoch: 17 [20736/48750]	Loss: 0.3519	LR: 0.000800
Training Epoch: 17 [20992/48750]	Loss: 0.2908	LR: 0.000800
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Training Epoch: 17 [22016/48750]	Loss: 0.2858	LR: 0.000800
Training Epoch: 17 [22272/48750]	Loss: 0.2158	LR: 0.000800
Training Epoch: 17 [22528/48750]	Loss: 0.2571	LR: 0.000800
Training Epoch: 17 [22784/48750]	Loss: 0.2460	LR: 0.000800
Training Epoch: 17 [23040/48750]	Loss: 0.2429	LR: 0.000800
Training Epoch: 17 [23296/48750]	Loss: 0.1923	LR: 0.000800
Training Epoch: 17 [23552/48750]	Loss: 0.2339	LR: 0.000800
Training Epoch: 17 [23808/48750]	Loss: 0.2615	LR: 0.000800
Training Epoch: 17 [24064/48750]	Loss: 0.2219	LR: 0.000800
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Training Epoch: 17 [42496/48750]	Loss: 0.2929	LR: 0.000800
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Training Epoch: 17 [43008/48750]	Loss: 0.3159	LR: 0.000800
Training Epoch: 17 [43264/48750]	Loss: 0.2407	LR: 0.000800
Training Epoch: 17 [43520/48750]	Loss: 0.2694	LR: 0.000800
Training Epoch: 17 [43776/48750]	Loss: 0.2814	LR: 0.000800
Training Epoch: 17 [44032/48750]	Loss: 0.2218	LR: 0.000800
Training Epoch: 17 [44288/48750]	Loss: 0.2609	LR: 0.000800
Training Epoch: 17 [44544/48750]	Loss: 0.3429	LR: 0.000800
Training Epoch: 17 [44800/48750]	Loss: 0.2333	LR: 0.000800
Training Epoch: 17 [45056/48750]	Loss: 0.3036	LR: 0.000800
Training Epoch: 17 [45312/48750]	Loss: 0.2339	LR: 0.000800
Training Epoch: 17 [45568/48750]	Loss: 0.2957	LR: 0.000800
Training Epoch: 17 [45824/48750]	Loss: 0.2763	LR: 0.000800
Training Epoch: 17 [46080/48750]	Loss: 0.2870	LR: 0.000800
Training Epoch: 17 [46336/48750]	Loss: 0.2221	LR: 0.000800
Training Epoch: 17 [46592/48750]	Loss: 0.3441	LR: 0.000800
Training Epoch: 17 [46848/48750]	Loss: 0.1749	LR: 0.000800
Training Epoch: 17 [47104/48750]	Loss: 0.3097	LR: 0.000800
Training Epoch: 17 [47360/48750]	Loss: 0.2379	LR: 0.000800
Training Epoch: 17 [47616/48750]	Loss: 0.2559	LR: 0.000800
Training Epoch: 17 [47872/48750]	Loss: 0.2023	LR: 0.000800
Training Epoch: 17 [48128/48750]	Loss: 0.2321	LR: 0.000800
Training Epoch: 17 [48384/48750]	Loss: 0.2384	LR: 0.000800
Training Epoch: 17 [48640/48750]	Loss: 0.2625	LR: 0.000800
Training Epoch: 17 [48750/48750]	Loss: 0.1594	LR: 0.000800
Epoch 17 - Average Train Loss: 0.2638, Train Accuracy: 0.9079
Epoch 17 training time consumed: 29.19s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0013, Accuracy: 0.8942, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_18h_17m_35s/ResNet18-Cifar10-seed10-ret75-17-best.pth
Training Epoch: 18 [256/48750]	Loss: 0.2681	LR: 0.000800
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Training Epoch: 18 [768/48750]	Loss: 0.2799	LR: 0.000800
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Training Epoch: 18 [1280/48750]	Loss: 0.2609	LR: 0.000800
Training Epoch: 18 [1536/48750]	Loss: 0.2713	LR: 0.000800
Training Epoch: 18 [1792/48750]	Loss: 0.2510	LR: 0.000800
Training Epoch: 18 [2048/48750]	Loss: 0.2891	LR: 0.000800
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Training Epoch: 18 [2560/48750]	Loss: 0.3977	LR: 0.000800
Training Epoch: 18 [2816/48750]	Loss: 0.3289	LR: 0.000800
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Training Epoch: 18 [3328/48750]	Loss: 0.2291	LR: 0.000800
Training Epoch: 18 [3584/48750]	Loss: 0.2434	LR: 0.000800
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Training Epoch: 18 [4096/48750]	Loss: 0.2271	LR: 0.000800
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Training Epoch: 18 [9728/48750]	Loss: 0.2311	LR: 0.000800
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Training Epoch: 18 [11008/48750]	Loss: 0.3078	LR: 0.000800
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Training Epoch: 18 [22016/48750]	Loss: 0.2931	LR: 0.000800
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Training Epoch: 18 [24320/48750]	Loss: 0.2687	LR: 0.000800
Training Epoch: 18 [24576/48750]	Loss: 0.2437	LR: 0.000800
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Training Epoch: 18 [25088/48750]	Loss: 0.2768	LR: 0.000800
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Training Epoch: 18 [25856/48750]	Loss: 0.2545	LR: 0.000800
Training Epoch: 18 [26112/48750]	Loss: 0.3137	LR: 0.000800
Training Epoch: 18 [26368/48750]	Loss: 0.2678	LR: 0.000800
Training Epoch: 18 [26624/48750]	Loss: 0.2208	LR: 0.000800
Training Epoch: 18 [26880/48750]	Loss: 0.2525	LR: 0.000800
Training Epoch: 18 [27136/48750]	Loss: 0.2727	LR: 0.000800
Training Epoch: 18 [27392/48750]	Loss: 0.2810	LR: 0.000800
Training Epoch: 18 [27648/48750]	Loss: 0.2531	LR: 0.000800
Training Epoch: 18 [27904/48750]	Loss: 0.1999	LR: 0.000800
Training Epoch: 18 [28160/48750]	Loss: 0.2231	LR: 0.000800
Training Epoch: 18 [28416/48750]	Loss: 0.2539	LR: 0.000800
Training Epoch: 18 [28672/48750]	Loss: 0.2071	LR: 0.000800
Training Epoch: 18 [28928/48750]	Loss: 0.2510	LR: 0.000800
Training Epoch: 18 [29184/48750]	Loss: 0.2829	LR: 0.000800
Training Epoch: 18 [29440/48750]	Loss: 0.2502	LR: 0.000800
Training Epoch: 18 [29696/48750]	Loss: 0.2900	LR: 0.000800
Training Epoch: 18 [29952/48750]	Loss: 0.2365	LR: 0.000800
Training Epoch: 18 [30208/48750]	Loss: 0.2722	LR: 0.000800
Training Epoch: 18 [30464/48750]	Loss: 0.2811	LR: 0.000800
Training Epoch: 18 [30720/48750]	Loss: 0.3839	LR: 0.000800
Training Epoch: 18 [30976/48750]	Loss: 0.2407	LR: 0.000800
Training Epoch: 18 [31232/48750]	Loss: 0.3011	LR: 0.000800
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Training Epoch: 18 [32256/48750]	Loss: 0.2746	LR: 0.000800
Training Epoch: 18 [32512/48750]	Loss: 0.2456	LR: 0.000800
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Training Epoch: 18 [35328/48750]	Loss: 0.3224	LR: 0.000800
Training Epoch: 18 [35584/48750]	Loss: 0.2699	LR: 0.000800
Training Epoch: 18 [35840/48750]	Loss: 0.2286	LR: 0.000800
Training Epoch: 18 [36096/48750]	Loss: 0.2270	LR: 0.000800
Training Epoch: 18 [36352/48750]	Loss: 0.2532	LR: 0.000800
Training Epoch: 18 [36608/48750]	Loss: 0.2771	LR: 0.000800
Training Epoch: 18 [36864/48750]	Loss: 0.2307	LR: 0.000800
Training Epoch: 18 [37120/48750]	Loss: 0.2652	LR: 0.000800
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Training Epoch: 18 [38144/48750]	Loss: 0.2241	LR: 0.000800
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Training Epoch: 18 [40192/48750]	Loss: 0.2648	LR: 0.000800
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Training Epoch: 18 [47104/48750]	Loss: 0.2711	LR: 0.000800
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Training Epoch: 18 [48128/48750]	Loss: 0.2756	LR: 0.000800
Training Epoch: 18 [48384/48750]	Loss: 0.2225	LR: 0.000800
Training Epoch: 18 [48640/48750]	Loss: 0.3588	LR: 0.000800
Training Epoch: 18 [48750/48750]	Loss: 0.2482	LR: 0.000800
Epoch 18 - Average Train Loss: 0.2655, Train Accuracy: 0.9069
Epoch 18 training time consumed: 29.62s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0013, Accuracy: 0.8955, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_18h_17m_35s/ResNet18-Cifar10-seed10-ret75-18-best.pth
Training Epoch: 19 [256/48750]	Loss: 0.2873	LR: 0.000800
Training Epoch: 19 [512/48750]	Loss: 0.2596	LR: 0.000800
Training Epoch: 19 [768/48750]	Loss: 0.2884	LR: 0.000800
Training Epoch: 19 [1024/48750]	Loss: 0.1787	LR: 0.000800
Training Epoch: 19 [1280/48750]	Loss: 0.2537	LR: 0.000800
Training Epoch: 19 [1536/48750]	Loss: 0.2683	LR: 0.000800
Training Epoch: 19 [1792/48750]	Loss: 0.1843	LR: 0.000800
Training Epoch: 19 [2048/48750]	Loss: 0.2868	LR: 0.000800
Training Epoch: 19 [2304/48750]	Loss: 0.2639	LR: 0.000800
Training Epoch: 19 [2560/48750]	Loss: 0.1852	LR: 0.000800
Training Epoch: 19 [2816/48750]	Loss: 0.2840	LR: 0.000800
Training Epoch: 19 [3072/48750]	Loss: 0.2601	LR: 0.000800
Training Epoch: 19 [3328/48750]	Loss: 0.2310	LR: 0.000800
Training Epoch: 19 [3584/48750]	Loss: 0.3113	LR: 0.000800
Training Epoch: 19 [3840/48750]	Loss: 0.3434	LR: 0.000800
Training Epoch: 19 [4096/48750]	Loss: 0.2532	LR: 0.000800
Training Epoch: 19 [4352/48750]	Loss: 0.2736	LR: 0.000800
Training Epoch: 19 [4608/48750]	Loss: 0.1982	LR: 0.000800
Training Epoch: 19 [4864/48750]	Loss: 0.2039	LR: 0.000800
Training Epoch: 19 [5120/48750]	Loss: 0.2059	LR: 0.000800
Training Epoch: 19 [5376/48750]	Loss: 0.2022	LR: 0.000800
Training Epoch: 19 [5632/48750]	Loss: 0.1951	LR: 0.000800
Training Epoch: 19 [5888/48750]	Loss: 0.3244	LR: 0.000800
Training Epoch: 19 [6144/48750]	Loss: 0.3746	LR: 0.000800
Training Epoch: 19 [6400/48750]	Loss: 0.2531	LR: 0.000800
Training Epoch: 19 [6656/48750]	Loss: 0.2929	LR: 0.000800
Training Epoch: 19 [6912/48750]	Loss: 0.3762	LR: 0.000800
Training Epoch: 19 [7168/48750]	Loss: 0.2718	LR: 0.000800
Training Epoch: 19 [7424/48750]	Loss: 0.2694	LR: 0.000800
Training Epoch: 19 [7680/48750]	Loss: 0.2230	LR: 0.000800
Training Epoch: 19 [7936/48750]	Loss: 0.2391	LR: 0.000800
Training Epoch: 19 [8192/48750]	Loss: 0.2799	LR: 0.000800
Training Epoch: 19 [8448/48750]	Loss: 0.2435	LR: 0.000800
Training Epoch: 19 [8704/48750]	Loss: 0.2530	LR: 0.000800
Training Epoch: 19 [8960/48750]	Loss: 0.2357	LR: 0.000800
Training Epoch: 19 [9216/48750]	Loss: 0.2716	LR: 0.000800
Training Epoch: 19 [9472/48750]	Loss: 0.1511	LR: 0.000800
Training Epoch: 19 [9728/48750]	Loss: 0.3244	LR: 0.000800
Training Epoch: 19 [9984/48750]	Loss: 0.2214	LR: 0.000800
Training Epoch: 19 [10240/48750]	Loss: 0.2169	LR: 0.000800
Training Epoch: 19 [10496/48750]	Loss: 0.2366	LR: 0.000800
Training Epoch: 19 [10752/48750]	Loss: 0.2226	LR: 0.000800
Training Epoch: 19 [11008/48750]	Loss: 0.2489	LR: 0.000800
Training Epoch: 19 [11264/48750]	Loss: 0.2882	LR: 0.000800
Training Epoch: 19 [11520/48750]	Loss: 0.2487	LR: 0.000800
Training Epoch: 19 [11776/48750]	Loss: 0.2650	LR: 0.000800
Training Epoch: 19 [12032/48750]	Loss: 0.2278	LR: 0.000800
Training Epoch: 19 [12288/48750]	Loss: 0.2714	LR: 0.000800
Training Epoch: 19 [12544/48750]	Loss: 0.2783	LR: 0.000800
Training Epoch: 19 [12800/48750]	Loss: 0.2064	LR: 0.000800
Training Epoch: 19 [13056/48750]	Loss: 0.1979	LR: 0.000800
Training Epoch: 19 [13312/48750]	Loss: 0.3161	LR: 0.000800
Training Epoch: 19 [13568/48750]	Loss: 0.2506	LR: 0.000800
Training Epoch: 19 [13824/48750]	Loss: 0.1851	LR: 0.000800
Training Epoch: 19 [14080/48750]	Loss: 0.2922	LR: 0.000800
Training Epoch: 19 [14336/48750]	Loss: 0.2434	LR: 0.000800
Training Epoch: 19 [14592/48750]	Loss: 0.2414	LR: 0.000800
Training Epoch: 19 [14848/48750]	Loss: 0.2388	LR: 0.000800
Training Epoch: 19 [15104/48750]	Loss: 0.3101	LR: 0.000800
Training Epoch: 19 [15360/48750]	Loss: 0.1914	LR: 0.000800
Training Epoch: 19 [15616/48750]	Loss: 0.3017	LR: 0.000800
Training Epoch: 19 [15872/48750]	Loss: 0.2468	LR: 0.000800
Training Epoch: 19 [16128/48750]	Loss: 0.2767	LR: 0.000800
Training Epoch: 19 [16384/48750]	Loss: 0.2120	LR: 0.000800
Training Epoch: 19 [16640/48750]	Loss: 0.2999	LR: 0.000800
Training Epoch: 19 [16896/48750]	Loss: 0.2450	LR: 0.000800
Training Epoch: 19 [17152/48750]	Loss: 0.2704	LR: 0.000800
Training Epoch: 19 [17408/48750]	Loss: 0.3034	LR: 0.000800
Training Epoch: 19 [17664/48750]	Loss: 0.2914	LR: 0.000800
Training Epoch: 19 [17920/48750]	Loss: 0.2770	LR: 0.000800
Training Epoch: 19 [18176/48750]	Loss: 0.2106	LR: 0.000800
Training Epoch: 19 [18432/48750]	Loss: 0.2477	LR: 0.000800
Training Epoch: 19 [18688/48750]	Loss: 0.2276	LR: 0.000800
Training Epoch: 19 [18944/48750]	Loss: 0.3339	LR: 0.000800
Training Epoch: 19 [19200/48750]	Loss: 0.2475	LR: 0.000800
Training Epoch: 19 [19456/48750]	Loss: 0.2662	LR: 0.000800
Training Epoch: 19 [19712/48750]	Loss: 0.2506	LR: 0.000800
Training Epoch: 19 [19968/48750]	Loss: 0.2464	LR: 0.000800
Training Epoch: 19 [20224/48750]	Loss: 0.2443	LR: 0.000800
Training Epoch: 19 [20480/48750]	Loss: 0.2490	LR: 0.000800
Training Epoch: 19 [20736/48750]	Loss: 0.2179	LR: 0.000800
Training Epoch: 19 [20992/48750]	Loss: 0.2543	LR: 0.000800
Training Epoch: 19 [21248/48750]	Loss: 0.3125	LR: 0.000800
Training Epoch: 19 [21504/48750]	Loss: 0.3074	LR: 0.000800
Training Epoch: 19 [21760/48750]	Loss: 0.3042	LR: 0.000800
Training Epoch: 19 [22016/48750]	Loss: 0.3382	LR: 0.000800
Training Epoch: 19 [22272/48750]	Loss: 0.2336	LR: 0.000800
Training Epoch: 19 [22528/48750]	Loss: 0.3418	LR: 0.000800
Training Epoch: 19 [22784/48750]	Loss: 0.4111	LR: 0.000800
Training Epoch: 19 [23040/48750]	Loss: 0.1944	LR: 0.000800
Training Epoch: 19 [23296/48750]	Loss: 0.2147	LR: 0.000800
Training Epoch: 19 [23552/48750]	Loss: 0.2090	LR: 0.000800
Training Epoch: 19 [23808/48750]	Loss: 0.2445	LR: 0.000800
Training Epoch: 19 [24064/48750]	Loss: 0.2729	LR: 0.000800
Training Epoch: 19 [24320/48750]	Loss: 0.2144	LR: 0.000800
Training Epoch: 19 [24576/48750]	Loss: 0.2399	LR: 0.000800
Training Epoch: 19 [24832/48750]	Loss: 0.2277	LR: 0.000800
Training Epoch: 19 [25088/48750]	Loss: 0.2514	LR: 0.000800
Training Epoch: 19 [25344/48750]	Loss: 0.2412	LR: 0.000800
Training Epoch: 19 [25600/48750]	Loss: 0.2316	LR: 0.000800
Training Epoch: 19 [25856/48750]	Loss: 0.3347	LR: 0.000800
Training Epoch: 19 [26112/48750]	Loss: 0.2658	LR: 0.000800
Training Epoch: 19 [26368/48750]	Loss: 0.2633	LR: 0.000800
Training Epoch: 19 [26624/48750]	Loss: 0.2195	LR: 0.000800
Training Epoch: 19 [26880/48750]	Loss: 0.2634	LR: 0.000800
Training Epoch: 19 [27136/48750]	Loss: 0.2949	LR: 0.000800
Training Epoch: 19 [27392/48750]	Loss: 0.2839	LR: 0.000800
Training Epoch: 19 [27648/48750]	Loss: 0.2270	LR: 0.000800
Training Epoch: 19 [27904/48750]	Loss: 0.3048	LR: 0.000800
Training Epoch: 19 [28160/48750]	Loss: 0.2620	LR: 0.000800
Training Epoch: 19 [28416/48750]	Loss: 0.1961	LR: 0.000800
Training Epoch: 19 [28672/48750]	Loss: 0.2351	LR: 0.000800
Training Epoch: 19 [28928/48750]	Loss: 0.2756	LR: 0.000800
Training Epoch: 19 [29184/48750]	Loss: 0.2255	LR: 0.000800
Training Epoch: 19 [29440/48750]	Loss: 0.2674	LR: 0.000800
Training Epoch: 19 [29696/48750]	Loss: 0.2574	LR: 0.000800
Training Epoch: 19 [29952/48750]	Loss: 0.2732	LR: 0.000800
Training Epoch: 19 [30208/48750]	Loss: 0.2532	LR: 0.000800
Training Epoch: 19 [30464/48750]	Loss: 0.3190	LR: 0.000800
Training Epoch: 19 [30720/48750]	Loss: 0.2543	LR: 0.000800
Training Epoch: 19 [30976/48750]	Loss: 0.2192	LR: 0.000800
Training Epoch: 19 [31232/48750]	Loss: 0.2339	LR: 0.000800
Training Epoch: 19 [31488/48750]	Loss: 0.2302	LR: 0.000800
Training Epoch: 19 [31744/48750]	Loss: 0.2756	LR: 0.000800
Training Epoch: 19 [32000/48750]	Loss: 0.2768	LR: 0.000800
Training Epoch: 19 [32256/48750]	Loss: 0.2519	LR: 0.000800
Training Epoch: 19 [32512/48750]	Loss: 0.2289	LR: 0.000800
Training Epoch: 19 [32768/48750]	Loss: 0.2833	LR: 0.000800
Training Epoch: 19 [33024/48750]	Loss: 0.2615	LR: 0.000800
Training Epoch: 19 [33280/48750]	Loss: 0.2526	LR: 0.000800
Training Epoch: 19 [33536/48750]	Loss: 0.2344	LR: 0.000800
Training Epoch: 19 [33792/48750]	Loss: 0.1667	LR: 0.000800
Training Epoch: 19 [34048/48750]	Loss: 0.2812	LR: 0.000800
Training Epoch: 19 [34304/48750]	Loss: 0.2051	LR: 0.000800
Training Epoch: 19 [34560/48750]	Loss: 0.2636	LR: 0.000800
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Training Epoch: 19 [35072/48750]	Loss: 0.2934	LR: 0.000800
Training Epoch: 19 [35328/48750]	Loss: 0.2824	LR: 0.000800
Training Epoch: 19 [35584/48750]	Loss: 0.3152	LR: 0.000800
Training Epoch: 19 [35840/48750]	Loss: 0.2744	LR: 0.000800
Training Epoch: 19 [36096/48750]	Loss: 0.3038	LR: 0.000800
Training Epoch: 19 [36352/48750]	Loss: 0.2751	LR: 0.000800
Training Epoch: 19 [36608/48750]	Loss: 0.2741	LR: 0.000800
Training Epoch: 19 [36864/48750]	Loss: 0.2393	LR: 0.000800
Training Epoch: 19 [37120/48750]	Loss: 0.2894	LR: 0.000800
Training Epoch: 19 [37376/48750]	Loss: 0.3073	LR: 0.000800
Training Epoch: 19 [37632/48750]	Loss: 0.2810	LR: 0.000800
Training Epoch: 19 [37888/48750]	Loss: 0.2070	LR: 0.000800
Training Epoch: 19 [38144/48750]	Loss: 0.2484	LR: 0.000800
Training Epoch: 19 [38400/48750]	Loss: 0.2722	LR: 0.000800
Training Epoch: 19 [38656/48750]	Loss: 0.2554	LR: 0.000800
Training Epoch: 19 [38912/48750]	Loss: 0.2687	LR: 0.000800
Training Epoch: 19 [39168/48750]	Loss: 0.2167	LR: 0.000800
Training Epoch: 19 [39424/48750]	Loss: 0.2822	LR: 0.000800
Training Epoch: 19 [39680/48750]	Loss: 0.2849	LR: 0.000800
Training Epoch: 19 [39936/48750]	Loss: 0.2928	LR: 0.000800
Training Epoch: 19 [40192/48750]	Loss: 0.2238	LR: 0.000800
Training Epoch: 19 [40448/48750]	Loss: 0.2147	LR: 0.000800
Training Epoch: 19 [40704/48750]	Loss: 0.3464	LR: 0.000800
Training Epoch: 19 [40960/48750]	Loss: 0.1870	LR: 0.000800
Training Epoch: 19 [41216/48750]	Loss: 0.2406	LR: 0.000800
Training Epoch: 19 [41472/48750]	Loss: 0.2633	LR: 0.000800
Training Epoch: 19 [41728/48750]	Loss: 0.2218	LR: 0.000800
Training Epoch: 19 [41984/48750]	Loss: 0.2500	LR: 0.000800
Training Epoch: 19 [42240/48750]	Loss: 0.2476	LR: 0.000800
Training Epoch: 19 [42496/48750]	Loss: 0.3054	LR: 0.000800
Training Epoch: 19 [42752/48750]	Loss: 0.3342	LR: 0.000800
Training Epoch: 19 [43008/48750]	Loss: 0.2760	LR: 0.000800
Training Epoch: 19 [43264/48750]	Loss: 0.3458	LR: 0.000800
Training Epoch: 19 [43520/48750]	Loss: 0.2632	LR: 0.000800
Training Epoch: 19 [43776/48750]	Loss: 0.3227	LR: 0.000800
Training Epoch: 19 [44032/48750]	Loss: 0.2607	LR: 0.000800
Training Epoch: 19 [44288/48750]	Loss: 0.2883	LR: 0.000800
Training Epoch: 19 [44544/48750]	Loss: 0.3807	LR: 0.000800
Training Epoch: 19 [44800/48750]	Loss: 0.2380	LR: 0.000800
Training Epoch: 19 [45056/48750]	Loss: 0.2629	LR: 0.000800
Training Epoch: 19 [45312/48750]	Loss: 0.2164	LR: 0.000800
Training Epoch: 19 [45568/48750]	Loss: 0.1904	LR: 0.000800
Training Epoch: 19 [45824/48750]	Loss: 0.2020	LR: 0.000800
Training Epoch: 19 [46080/48750]	Loss: 0.3494	LR: 0.000800
Training Epoch: 19 [46336/48750]	Loss: 0.3061	LR: 0.000800
Training Epoch: 19 [46592/48750]	Loss: 0.2247	LR: 0.000800
Training Epoch: 19 [46848/48750]	Loss: 0.2698	LR: 0.000800
Training Epoch: 19 [47104/48750]	Loss: 0.2708	LR: 0.000800
Training Epoch: 19 [47360/48750]	Loss: 0.2827	LR: 0.000800
Training Epoch: 19 [47616/48750]	Loss: 0.2529	LR: 0.000800
Training Epoch: 19 [47872/48750]	Loss: 0.2550	LR: 0.000800
Training Epoch: 19 [48128/48750]	Loss: 0.3149	LR: 0.000800
Training Epoch: 19 [48384/48750]	Loss: 0.2782	LR: 0.000800
Training Epoch: 19 [48640/48750]	Loss: 0.2476	LR: 0.000800
Training Epoch: 19 [48750/48750]	Loss: 0.2679	LR: 0.000800
Epoch 19 - Average Train Loss: 0.2606, Train Accuracy: 0.9086
Epoch 19 training time consumed: 29.28s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0013, Accuracy: 0.8950, Time consumed:0.92s
Training Epoch: 20 [256/48750]	Loss: 0.2749	LR: 0.000800
Training Epoch: 20 [512/48750]	Loss: 0.2537	LR: 0.000800
Training Epoch: 20 [768/48750]	Loss: 0.2791	LR: 0.000800
Training Epoch: 20 [1024/48750]	Loss: 0.2926	LR: 0.000800
Training Epoch: 20 [1280/48750]	Loss: 0.2645	LR: 0.000800
Training Epoch: 20 [1536/48750]	Loss: 0.2876	LR: 0.000800
Training Epoch: 20 [1792/48750]	Loss: 0.2756	LR: 0.000800
Training Epoch: 20 [2048/48750]	Loss: 0.2771	LR: 0.000800
Training Epoch: 20 [2304/48750]	Loss: 0.2402	LR: 0.000800
Training Epoch: 20 [2560/48750]	Loss: 0.2214	LR: 0.000800
Training Epoch: 20 [2816/48750]	Loss: 0.3150	LR: 0.000800
Training Epoch: 20 [3072/48750]	Loss: 0.2171	LR: 0.000800
Training Epoch: 20 [3328/48750]	Loss: 0.2307	LR: 0.000800
Training Epoch: 20 [3584/48750]	Loss: 0.2660	LR: 0.000800
Training Epoch: 20 [3840/48750]	Loss: 0.2933	LR: 0.000800
Training Epoch: 20 [4096/48750]	Loss: 0.2698	LR: 0.000800
Training Epoch: 20 [4352/48750]	Loss: 0.3089	LR: 0.000800
Training Epoch: 20 [4608/48750]	Loss: 0.3009	LR: 0.000800
Training Epoch: 20 [4864/48750]	Loss: 0.2512	LR: 0.000800
Training Epoch: 20 [5120/48750]	Loss: 0.2689	LR: 0.000800
Training Epoch: 20 [5376/48750]	Loss: 0.3384	LR: 0.000800
Training Epoch: 20 [5632/48750]	Loss: 0.3077	LR: 0.000800
Training Epoch: 20 [5888/48750]	Loss: 0.2793	LR: 0.000800
Training Epoch: 20 [6144/48750]	Loss: 0.2675	LR: 0.000800
Training Epoch: 20 [6400/48750]	Loss: 0.2562	LR: 0.000800
Training Epoch: 20 [6656/48750]	Loss: 0.2384	LR: 0.000800
Training Epoch: 20 [6912/48750]	Loss: 0.2907	LR: 0.000800
Training Epoch: 20 [7168/48750]	Loss: 0.2242	LR: 0.000800
Training Epoch: 20 [7424/48750]	Loss: 0.2921	LR: 0.000800
Training Epoch: 20 [7680/48750]	Loss: 0.2260	LR: 0.000800
Training Epoch: 20 [7936/48750]	Loss: 0.2173	LR: 0.000800
Training Epoch: 20 [8192/48750]	Loss: 0.2541	LR: 0.000800
Training Epoch: 20 [8448/48750]	Loss: 0.3041	LR: 0.000800
Training Epoch: 20 [8704/48750]	Loss: 0.2417	LR: 0.000800
Training Epoch: 20 [8960/48750]	Loss: 0.2878	LR: 0.000800
Training Epoch: 20 [9216/48750]	Loss: 0.2122	LR: 0.000800
Training Epoch: 20 [9472/48750]	Loss: 0.3754	LR: 0.000800
Training Epoch: 20 [9728/48750]	Loss: 0.2683	LR: 0.000800
Training Epoch: 20 [9984/48750]	Loss: 0.2799	LR: 0.000800
Training Epoch: 20 [10240/48750]	Loss: 0.2072	LR: 0.000800
Training Epoch: 20 [10496/48750]	Loss: 0.2691	LR: 0.000800
Training Epoch: 20 [10752/48750]	Loss: 0.2128	LR: 0.000800
Training Epoch: 20 [11008/48750]	Loss: 0.1787	LR: 0.000800
Training Epoch: 20 [11264/48750]	Loss: 0.2501	LR: 0.000800
Training Epoch: 20 [11520/48750]	Loss: 0.2243	LR: 0.000800
Training Epoch: 20 [11776/48750]	Loss: 0.2206	LR: 0.000800
Training Epoch: 20 [12032/48750]	Loss: 0.2466	LR: 0.000800
Training Epoch: 20 [12288/48750]	Loss: 0.2932	LR: 0.000800
Training Epoch: 20 [12544/48750]	Loss: 0.2687	LR: 0.000800
Training Epoch: 20 [12800/48750]	Loss: 0.3290	LR: 0.000800
Training Epoch: 20 [13056/48750]	Loss: 0.2804	LR: 0.000800
Training Epoch: 20 [13312/48750]	Loss: 0.2745	LR: 0.000800
Training Epoch: 20 [13568/48750]	Loss: 0.2510	LR: 0.000800
Training Epoch: 20 [13824/48750]	Loss: 0.2744	LR: 0.000800
Training Epoch: 20 [14080/48750]	Loss: 0.3278	LR: 0.000800
Training Epoch: 20 [14336/48750]	Loss: 0.3127	LR: 0.000800
Training Epoch: 20 [14592/48750]	Loss: 0.2405	LR: 0.000800
Training Epoch: 20 [14848/48750]	Loss: 0.3613	LR: 0.000800
Training Epoch: 20 [15104/48750]	Loss: 0.2235	LR: 0.000800
Training Epoch: 20 [15360/48750]	Loss: 0.2189	LR: 0.000800
Training Epoch: 20 [15616/48750]	Loss: 0.3221	LR: 0.000800
Training Epoch: 20 [15872/48750]	Loss: 0.2617	LR: 0.000800
Training Epoch: 20 [16128/48750]	Loss: 0.2034	LR: 0.000800
Training Epoch: 20 [16384/48750]	Loss: 0.2537	LR: 0.000800
Training Epoch: 20 [16640/48750]	Loss: 0.2280	LR: 0.000800
Training Epoch: 20 [16896/48750]	Loss: 0.2978	LR: 0.000800
Training Epoch: 20 [17152/48750]	Loss: 0.2315	LR: 0.000800
Training Epoch: 20 [17408/48750]	Loss: 0.1729	LR: 0.000800
Training Epoch: 20 [17664/48750]	Loss: 0.2375	LR: 0.000800
Training Epoch: 20 [17920/48750]	Loss: 0.2720	LR: 0.000800
Training Epoch: 20 [18176/48750]	Loss: 0.2000	LR: 0.000800
Training Epoch: 20 [18432/48750]	Loss: 0.2621	LR: 0.000800
Training Epoch: 20 [18688/48750]	Loss: 0.2568	LR: 0.000800
Training Epoch: 20 [18944/48750]	Loss: 0.2482	LR: 0.000800
Training Epoch: 20 [19200/48750]	Loss: 0.3372	LR: 0.000800
Training Epoch: 20 [19456/48750]	Loss: 0.2762	LR: 0.000800
Training Epoch: 20 [19712/48750]	Loss: 0.2277	LR: 0.000800
Training Epoch: 20 [19968/48750]	Loss: 0.2007	LR: 0.000800
Training Epoch: 20 [20224/48750]	Loss: 0.2429	LR: 0.000800
Training Epoch: 20 [20480/48750]	Loss: 0.2879	LR: 0.000800
Training Epoch: 20 [20736/48750]	Loss: 0.2438	LR: 0.000800
Training Epoch: 20 [20992/48750]	Loss: 0.2252	LR: 0.000800
Training Epoch: 20 [21248/48750]	Loss: 0.2346	LR: 0.000800
Training Epoch: 20 [21504/48750]	Loss: 0.1997	LR: 0.000800
Training Epoch: 20 [21760/48750]	Loss: 0.2257	LR: 0.000800
Training Epoch: 20 [22016/48750]	Loss: 0.2256	LR: 0.000800
Training Epoch: 20 [22272/48750]	Loss: 0.2078	LR: 0.000800
Training Epoch: 20 [22528/48750]	Loss: 0.2408	LR: 0.000800
Training Epoch: 20 [22784/48750]	Loss: 0.2200	LR: 0.000800
Training Epoch: 20 [23040/48750]	Loss: 0.1920	LR: 0.000800
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Training Epoch: 20 [42240/48750]	Loss: 0.2138	LR: 0.000800
Training Epoch: 20 [42496/48750]	Loss: 0.3028	LR: 0.000800
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Training Epoch: 20 [45312/48750]	Loss: 0.3332	LR: 0.000800
Training Epoch: 20 [45568/48750]	Loss: 0.2333	LR: 0.000800
Training Epoch: 20 [45824/48750]	Loss: 0.3614	LR: 0.000800
Training Epoch: 20 [46080/48750]	Loss: 0.2448	LR: 0.000800
Training Epoch: 20 [46336/48750]	Loss: 0.2551	LR: 0.000800
Training Epoch: 20 [46592/48750]	Loss: 0.2105	LR: 0.000800
Training Epoch: 20 [46848/48750]	Loss: 0.2833	LR: 0.000800
Training Epoch: 20 [47104/48750]	Loss: 0.3147	LR: 0.000800
Training Epoch: 20 [47360/48750]	Loss: 0.2802	LR: 0.000800
Training Epoch: 20 [47616/48750]	Loss: 0.2902	LR: 0.000800
Training Epoch: 20 [47872/48750]	Loss: 0.1978	LR: 0.000800
Training Epoch: 20 [48128/48750]	Loss: 0.2091	LR: 0.000800
Training Epoch: 20 [48384/48750]	Loss: 0.2565	LR: 0.000800
Training Epoch: 20 [48640/48750]	Loss: 0.2467	LR: 0.000800
Training Epoch: 20 [48750/48750]	Loss: 0.3825	LR: 0.000800
Epoch 20 - Average Train Loss: 0.2591, Train Accuracy: 0.9097
Epoch 20 training time consumed: 29.24s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0013, Accuracy: 0.8961, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_18h_17m_35s/ResNet18-Cifar10-seed10-ret75-20-best.pth
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
Set1 Distribution: 1250 samples
Set2 Distribution: 1250 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Test Accuracy: 89.560546875
Retain Accuracy: 91.37977600097656
Zero-Retain Forget (ZRF): 0.8348395824432373
Membership Inference Attack (MIA): 0.6136
Forget vs Retain Membership Inference Attack (MIA): 0.504
Forget vs Test Membership Inference Attack (MIA): 0.566
Test vs Retain Membership Inference Attack (MIA): 0.50425
Train vs Test Membership Inference Attack (MIA): 0.51725
Forget Set Accuracy (Df): 86.80793762207031
Method Execution Time: 1554.92 seconds
