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

Updated class distribution:
Retain set:
  Class 0: 4875
  Class 1: 4875
  Class 2: 4875
  Class 3: 4875
  Class 4: 4875
  Class 5: 4875
  Class 6: 4875
  Class 7: 4875
  Class 8: 4875
  Class 9: 4875
Forget set:
  Class 0: 125
  Class 1: 125
  Class 2: 125
  Class 3: 125
  Class 4: 125
  Class 5: 125
  Class 6: 125
  Class 7: 125
  Class 8: 125
  Class 9: 125
⚠️ Warning: Retain train loader may not be shuffled.
Training Epoch: 1 [256/48750]	Loss: 2.4384	LR: 0.000000
Training Epoch: 1 [512/48750]	Loss: 2.4035	LR: 0.000524
Training Epoch: 1 [768/48750]	Loss: 2.3771	LR: 0.001047
Training Epoch: 1 [1024/48750]	Loss: 2.3871	LR: 0.001571
Training Epoch: 1 [1280/48750]	Loss: 2.3076	LR: 0.002094
Training Epoch: 1 [1536/48750]	Loss: 2.3104	LR: 0.002618
Training Epoch: 1 [1792/48750]	Loss: 2.2384	LR: 0.003141
Training Epoch: 1 [2048/48750]	Loss: 2.2504	LR: 0.003665
Training Epoch: 1 [2304/48750]	Loss: 2.2556	LR: 0.004188
Training Epoch: 1 [2560/48750]	Loss: 2.2625	LR: 0.004712
Training Epoch: 1 [2816/48750]	Loss: 2.2263	LR: 0.005236
Training Epoch: 1 [3072/48750]	Loss: 2.1443	LR: 0.005759
Training Epoch: 1 [3328/48750]	Loss: 2.2196	LR: 0.006283
Training Epoch: 1 [3584/48750]	Loss: 2.2193	LR: 0.006806
Training Epoch: 1 [3840/48750]	Loss: 2.0705	LR: 0.007330
Training Epoch: 1 [4096/48750]	Loss: 2.0094	LR: 0.007853
Training Epoch: 1 [4352/48750]	Loss: 2.0540	LR: 0.008377
Training Epoch: 1 [4608/48750]	Loss: 2.0737	LR: 0.008901
Training Epoch: 1 [4864/48750]	Loss: 2.0260	LR: 0.009424
Training Epoch: 1 [5120/48750]	Loss: 1.9190	LR: 0.009948
Training Epoch: 1 [5376/48750]	Loss: 2.0142	LR: 0.010471
Training Epoch: 1 [5632/48750]	Loss: 1.9809	LR: 0.010995
Training Epoch: 1 [5888/48750]	Loss: 2.0670	LR: 0.011518
Training Epoch: 1 [6144/48750]	Loss: 1.9075	LR: 0.012042
Training Epoch: 1 [6400/48750]	Loss: 1.8437	LR: 0.012565
Training Epoch: 1 [6656/48750]	Loss: 1.8506	LR: 0.013089
Training Epoch: 1 [6912/48750]	Loss: 1.9353	LR: 0.013613
Training Epoch: 1 [7168/48750]	Loss: 1.8902	LR: 0.014136
Training Epoch: 1 [7424/48750]	Loss: 1.9742	LR: 0.014660
Training Epoch: 1 [7680/48750]	Loss: 1.8934	LR: 0.015183
Training Epoch: 1 [7936/48750]	Loss: 1.8342	LR: 0.015707
Training Epoch: 1 [8192/48750]	Loss: 1.9035	LR: 0.016230
Training Epoch: 1 [8448/48750]	Loss: 1.8640	LR: 0.016754
Training Epoch: 1 [8704/48750]	Loss: 2.0295	LR: 0.017277
Training Epoch: 1 [8960/48750]	Loss: 1.8448	LR: 0.017801
Training Epoch: 1 [9216/48750]	Loss: 1.7993	LR: 0.018325
Training Epoch: 1 [9472/48750]	Loss: 1.8269	LR: 0.018848
Training Epoch: 1 [9728/48750]	Loss: 1.8383	LR: 0.019372
Training Epoch: 1 [9984/48750]	Loss: 1.7043	LR: 0.019895
Training Epoch: 1 [10240/48750]	Loss: 1.7644	LR: 0.020419
Training Epoch: 1 [10496/48750]	Loss: 1.9104	LR: 0.020942
Training Epoch: 1 [10752/48750]	Loss: 1.7587	LR: 0.021466
Training Epoch: 1 [11008/48750]	Loss: 1.6162	LR: 0.021990
Training Epoch: 1 [11264/48750]	Loss: 1.8100	LR: 0.022513
Training Epoch: 1 [11520/48750]	Loss: 1.6952	LR: 0.023037
Training Epoch: 1 [11776/48750]	Loss: 1.7474	LR: 0.023560
Training Epoch: 1 [12032/48750]	Loss: 1.7322	LR: 0.024084
Training Epoch: 1 [12288/48750]	Loss: 1.7303	LR: 0.024607
Training Epoch: 1 [12544/48750]	Loss: 1.8761	LR: 0.025131
Training Epoch: 1 [12800/48750]	Loss: 1.7106	LR: 0.025654
Training Epoch: 1 [13056/48750]	Loss: 1.7803	LR: 0.026178
Training Epoch: 1 [13312/48750]	Loss: 1.9029	LR: 0.026702
Training Epoch: 1 [13568/48750]	Loss: 1.7992	LR: 0.027225
Training Epoch: 1 [13824/48750]	Loss: 1.8226	LR: 0.027749
Training Epoch: 1 [14080/48750]	Loss: 1.7233	LR: 0.028272
Training Epoch: 1 [14336/48750]	Loss: 1.7634	LR: 0.028796
Training Epoch: 1 [14592/48750]	Loss: 1.8972	LR: 0.029319
Training Epoch: 1 [14848/48750]	Loss: 1.6636	LR: 0.029843
Training Epoch: 1 [15104/48750]	Loss: 1.7423	LR: 0.030366
Training Epoch: 1 [15360/48750]	Loss: 1.6549	LR: 0.030890
Training Epoch: 1 [15616/48750]	Loss: 1.9092	LR: 0.031414
Training Epoch: 1 [15872/48750]	Loss: 1.6970	LR: 0.031937
Training Epoch: 1 [16128/48750]	Loss: 1.7389	LR: 0.032461
Training Epoch: 1 [16384/48750]	Loss: 1.8873	LR: 0.032984
Training Epoch: 1 [16640/48750]	Loss: 1.7675	LR: 0.033508
Training Epoch: 1 [16896/48750]	Loss: 1.7339	LR: 0.034031
Training Epoch: 1 [17152/48750]	Loss: 1.8045	LR: 0.034555
Training Epoch: 1 [17408/48750]	Loss: 1.8539	LR: 0.035079
Training Epoch: 1 [17664/48750]	Loss: 1.5982	LR: 0.035602
Training Epoch: 1 [17920/48750]	Loss: 1.8224	LR: 0.036126
Training Epoch: 1 [18176/48750]	Loss: 1.6344	LR: 0.036649
Training Epoch: 1 [18432/48750]	Loss: 1.6986	LR: 0.037173
Training Epoch: 1 [18688/48750]	Loss: 1.7979	LR: 0.037696
Training Epoch: 1 [18944/48750]	Loss: 1.7318	LR: 0.038220
Training Epoch: 1 [19200/48750]	Loss: 1.6715	LR: 0.038743
Training Epoch: 1 [19456/48750]	Loss: 1.7105	LR: 0.039267
Training Epoch: 1 [19712/48750]	Loss: 1.6728	LR: 0.039791
Training Epoch: 1 [19968/48750]	Loss: 1.4589	LR: 0.040314
Training Epoch: 1 [20224/48750]	Loss: 1.6448	LR: 0.040838
Training Epoch: 1 [20480/48750]	Loss: 1.6000	LR: 0.041361
Training Epoch: 1 [20736/48750]	Loss: 1.7499	LR: 0.041885
Training Epoch: 1 [20992/48750]	Loss: 1.5080	LR: 0.042408
Training Epoch: 1 [21248/48750]	Loss: 1.6476	LR: 0.042932
Training Epoch: 1 [21504/48750]	Loss: 1.7629	LR: 0.043455
Training Epoch: 1 [21760/48750]	Loss: 1.6066	LR: 0.043979
Training Epoch: 1 [22016/48750]	Loss: 1.6952	LR: 0.044503
Training Epoch: 1 [22272/48750]	Loss: 1.7389	LR: 0.045026
Training Epoch: 1 [22528/48750]	Loss: 1.6623	LR: 0.045550
Training Epoch: 1 [22784/48750]	Loss: 1.7146	LR: 0.046073
Training Epoch: 1 [23040/48750]	Loss: 1.6142	LR: 0.046597
Training Epoch: 1 [23296/48750]	Loss: 1.5685	LR: 0.047120
Training Epoch: 1 [23552/48750]	Loss: 1.6073	LR: 0.047644
Training Epoch: 1 [23808/48750]	Loss: 1.5492	LR: 0.048168
Training Epoch: 1 [24064/48750]	Loss: 1.6172	LR: 0.048691
Training Epoch: 1 [24320/48750]	Loss: 1.6485	LR: 0.049215
Training Epoch: 1 [24576/48750]	Loss: 1.4811	LR: 0.049738
Training Epoch: 1 [24832/48750]	Loss: 1.4639	LR: 0.050262
Training Epoch: 1 [25088/48750]	Loss: 1.8155	LR: 0.050785
Training Epoch: 1 [25344/48750]	Loss: 1.6040	LR: 0.051309
Training Epoch: 1 [25600/48750]	Loss: 1.6982	LR: 0.051832
Training Epoch: 1 [25856/48750]	Loss: 1.6029	LR: 0.052356
Training Epoch: 1 [26112/48750]	Loss: 1.6732	LR: 0.052880
Training Epoch: 1 [26368/48750]	Loss: 1.5563	LR: 0.053403
Training Epoch: 1 [26624/48750]	Loss: 1.6643	LR: 0.053927
Training Epoch: 1 [26880/48750]	Loss: 1.5137	LR: 0.054450
Training Epoch: 1 [27136/48750]	Loss: 1.8630	LR: 0.054974
Training Epoch: 1 [27392/48750]	Loss: 1.6021	LR: 0.055497
Training Epoch: 1 [27648/48750]	Loss: 1.5677	LR: 0.056021
Training Epoch: 1 [27904/48750]	Loss: 1.6465	LR: 0.056545
Training Epoch: 1 [28160/48750]	Loss: 1.6653	LR: 0.057068
Training Epoch: 1 [28416/48750]	Loss: 1.6455	LR: 0.057592
Training Epoch: 1 [28672/48750]	Loss: 1.5951	LR: 0.058115
Training Epoch: 1 [28928/48750]	Loss: 1.7377	LR: 0.058639
Training Epoch: 1 [29184/48750]	Loss: 1.5257	LR: 0.059162
Training Epoch: 1 [29440/48750]	Loss: 1.4165	LR: 0.059686
Training Epoch: 1 [29696/48750]	Loss: 1.5086	LR: 0.060209
Training Epoch: 1 [29952/48750]	Loss: 1.4781	LR: 0.060733
Training Epoch: 1 [30208/48750]	Loss: 1.6074	LR: 0.061257
Training Epoch: 1 [30464/48750]	Loss: 1.4791	LR: 0.061780
Training Epoch: 1 [30720/48750]	Loss: 1.5946	LR: 0.062304
Training Epoch: 1 [30976/48750]	Loss: 1.4658	LR: 0.062827
Training Epoch: 1 [31232/48750]	Loss: 1.7683	LR: 0.063351
Training Epoch: 1 [31488/48750]	Loss: 1.4661	LR: 0.063874
Training Epoch: 1 [31744/48750]	Loss: 1.7092	LR: 0.064398
Training Epoch: 1 [32000/48750]	Loss: 1.5658	LR: 0.064921
Training Epoch: 1 [32256/48750]	Loss: 1.5085	LR: 0.065445
Training Epoch: 1 [32512/48750]	Loss: 1.4682	LR: 0.065969
Training Epoch: 1 [32768/48750]	Loss: 1.5468	LR: 0.066492
Training Epoch: 1 [33024/48750]	Loss: 1.5036	LR: 0.067016
Training Epoch: 1 [33280/48750]	Loss: 1.5292	LR: 0.067539
Training Epoch: 1 [33536/48750]	Loss: 1.4406	LR: 0.068063
Training Epoch: 1 [33792/48750]	Loss: 1.4892	LR: 0.068586
Training Epoch: 1 [34048/48750]	Loss: 1.4524	LR: 0.069110
Training Epoch: 1 [34304/48750]	Loss: 1.5273	LR: 0.069634
Training Epoch: 1 [34560/48750]	Loss: 1.3258	LR: 0.070157
Training Epoch: 1 [34816/48750]	Loss: 1.5909	LR: 0.070681
Training Epoch: 1 [35072/48750]	Loss: 1.4991	LR: 0.071204
Training Epoch: 1 [35328/48750]	Loss: 1.6756	LR: 0.071728
Training Epoch: 1 [35584/48750]	Loss: 1.4352	LR: 0.072251
Training Epoch: 1 [35840/48750]	Loss: 1.5985	LR: 0.072775
Training Epoch: 1 [36096/48750]	Loss: 1.3826	LR: 0.073298
Training Epoch: 1 [36352/48750]	Loss: 1.5962	LR: 0.073822
Training Epoch: 1 [36608/48750]	Loss: 1.5705	LR: 0.074346
Training Epoch: 1 [36864/48750]	Loss: 1.4818	LR: 0.074869
Training Epoch: 1 [37120/48750]	Loss: 1.7875	LR: 0.075393
Training Epoch: 1 [37376/48750]	Loss: 1.6110	LR: 0.075916
Training Epoch: 1 [37632/48750]	Loss: 1.5060	LR: 0.076440
Training Epoch: 1 [37888/48750]	Loss: 1.4596	LR: 0.076963
Training Epoch: 1 [38144/48750]	Loss: 1.7030	LR: 0.077487
Training Epoch: 1 [38400/48750]	Loss: 1.4431	LR: 0.078010
Training Epoch: 1 [38656/48750]	Loss: 1.5990	LR: 0.078534
Training Epoch: 1 [38912/48750]	Loss: 1.5273	LR: 0.079058
Training Epoch: 1 [39168/48750]	Loss: 1.6187	LR: 0.079581
Training Epoch: 1 [39424/48750]	Loss: 1.6272	LR: 0.080105
Training Epoch: 1 [39680/48750]	Loss: 1.4909	LR: 0.080628
Training Epoch: 1 [39936/48750]	Loss: 1.4631	LR: 0.081152
Training Epoch: 1 [40192/48750]	Loss: 1.4621	LR: 0.081675
Training Epoch: 1 [40448/48750]	Loss: 1.5388	LR: 0.082199
Training Epoch: 1 [40704/48750]	Loss: 1.5313	LR: 0.082723
Training Epoch: 1 [40960/48750]	Loss: 1.5014	LR: 0.083246
Training Epoch: 1 [41216/48750]	Loss: 1.6135	LR: 0.083770
Training Epoch: 1 [41472/48750]	Loss: 1.4163	LR: 0.084293
Training Epoch: 1 [41728/48750]	Loss: 1.5323	LR: 0.084817
Training Epoch: 1 [41984/48750]	Loss: 1.5079	LR: 0.085340
Training Epoch: 1 [42240/48750]	Loss: 1.5401	LR: 0.085864
Training Epoch: 1 [42496/48750]	Loss: 1.4338	LR: 0.086387
Training Epoch: 1 [42752/48750]	Loss: 1.3971	LR: 0.086911
Training Epoch: 1 [43008/48750]	Loss: 1.5971	LR: 0.087435
Training Epoch: 1 [43264/48750]	Loss: 1.4306	LR: 0.087958
Training Epoch: 1 [43520/48750]	Loss: 1.5629	LR: 0.088482
Training Epoch: 1 [43776/48750]	Loss: 1.4246	LR: 0.089005
Training Epoch: 1 [44032/48750]	Loss: 1.4663	LR: 0.089529
Training Epoch: 1 [44288/48750]	Loss: 1.3523	LR: 0.090052
Training Epoch: 1 [44544/48750]	Loss: 1.5093	LR: 0.090576
Training Epoch: 1 [44800/48750]	Loss: 1.6601	LR: 0.091099
Training Epoch: 1 [45056/48750]	Loss: 1.3970	LR: 0.091623
Training Epoch: 1 [45312/48750]	Loss: 1.4479	LR: 0.092147
Training Epoch: 1 [45568/48750]	Loss: 1.4357	LR: 0.092670
Training Epoch: 1 [45824/48750]	Loss: 1.4251	LR: 0.093194
Training Epoch: 1 [46080/48750]	Loss: 1.4136	LR: 0.093717
Training Epoch: 1 [46336/48750]	Loss: 1.4720	LR: 0.094241
Training Epoch: 1 [46592/48750]	Loss: 1.3678	LR: 0.094764
Training Epoch: 1 [46848/48750]	Loss: 1.3141	LR: 0.095288
Training Epoch: 1 [47104/48750]	Loss: 1.4284	LR: 0.095812
Training Epoch: 1 [47360/48750]	Loss: 1.3544	LR: 0.096335
Training Epoch: 1 [47616/48750]	Loss: 1.3470	LR: 0.096859
Training Epoch: 1 [47872/48750]	Loss: 1.3325	LR: 0.097382
Training Epoch: 1 [48128/48750]	Loss: 1.6250	LR: 0.097906
Training Epoch: 1 [48384/48750]	Loss: 1.4004	LR: 0.098429
Training Epoch: 1 [48640/48750]	Loss: 1.5194	LR: 0.098953
Training Epoch: 1 [48750/48750]	Loss: 1.3298	LR: 0.099476
Epoch 1 - Average Train Loss: 1.6919, Train Accuracy: 0.3826
Epoch 1 training time consumed: 30.38s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0107, Accuracy: 0.3161, Time consumed:0.99s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_22h_14m_01s/ResNet18-Cifar10-seed7-ret75-1-best.pth
Training Epoch: 2 [256/48750]	Loss: 1.3413	LR: 0.100000
Training Epoch: 2 [512/48750]	Loss: 1.4328	LR: 0.100000
Training Epoch: 2 [768/48750]	Loss: 1.2331	LR: 0.100000
Training Epoch: 2 [1024/48750]	Loss: 1.3600	LR: 0.100000
Training Epoch: 2 [1280/48750]	Loss: 1.5025	LR: 0.100000
Training Epoch: 2 [1536/48750]	Loss: 1.5182	LR: 0.100000
Training Epoch: 2 [1792/48750]	Loss: 1.4479	LR: 0.100000
Training Epoch: 2 [2048/48750]	Loss: 1.4025	LR: 0.100000
Training Epoch: 2 [2304/48750]	Loss: 1.3738	LR: 0.100000
Training Epoch: 2 [2560/48750]	Loss: 1.4899	LR: 0.100000
Training Epoch: 2 [2816/48750]	Loss: 1.2693	LR: 0.100000
Training Epoch: 2 [3072/48750]	Loss: 1.3633	LR: 0.100000
Training Epoch: 2 [3328/48750]	Loss: 1.4294	LR: 0.100000
Training Epoch: 2 [3584/48750]	Loss: 1.3132	LR: 0.100000
Training Epoch: 2 [3840/48750]	Loss: 1.3561	LR: 0.100000
Training Epoch: 2 [4096/48750]	Loss: 1.3828	LR: 0.100000
Training Epoch: 2 [4352/48750]	Loss: 1.3496	LR: 0.100000
Training Epoch: 2 [4608/48750]	Loss: 1.4432	LR: 0.100000
Training Epoch: 2 [4864/48750]	Loss: 1.4200	LR: 0.100000
Training Epoch: 2 [5120/48750]	Loss: 1.3917	LR: 0.100000
Training Epoch: 2 [5376/48750]	Loss: 1.4693	LR: 0.100000
Training Epoch: 2 [5632/48750]	Loss: 1.1428	LR: 0.100000
Training Epoch: 2 [5888/48750]	Loss: 1.2526	LR: 0.100000
Training Epoch: 2 [6144/48750]	Loss: 1.2906	LR: 0.100000
Training Epoch: 2 [6400/48750]	Loss: 1.2630	LR: 0.100000
Training Epoch: 2 [6656/48750]	Loss: 1.3478	LR: 0.100000
Training Epoch: 2 [6912/48750]	Loss: 1.3530	LR: 0.100000
Training Epoch: 2 [7168/48750]	Loss: 1.2673	LR: 0.100000
Training Epoch: 2 [7424/48750]	Loss: 1.2851	LR: 0.100000
Training Epoch: 2 [7680/48750]	Loss: 1.3244	LR: 0.100000
Training Epoch: 2 [7936/48750]	Loss: 1.3435	LR: 0.100000
Training Epoch: 2 [8192/48750]	Loss: 1.2506	LR: 0.100000
Training Epoch: 2 [8448/48750]	Loss: 1.2091	LR: 0.100000
Training Epoch: 2 [8704/48750]	Loss: 1.2015	LR: 0.100000
Training Epoch: 2 [8960/48750]	Loss: 1.3336	LR: 0.100000
Training Epoch: 2 [9216/48750]	Loss: 1.1351	LR: 0.100000
Training Epoch: 2 [9472/48750]	Loss: 1.1549	LR: 0.100000
Training Epoch: 2 [9728/48750]	Loss: 1.2935	LR: 0.100000
Training Epoch: 2 [9984/48750]	Loss: 1.3741	LR: 0.100000
Training Epoch: 2 [10240/48750]	Loss: 1.3394	LR: 0.100000
Training Epoch: 2 [10496/48750]	Loss: 1.2709	LR: 0.100000
Training Epoch: 2 [10752/48750]	Loss: 1.2769	LR: 0.100000
Training Epoch: 2 [11008/48750]	Loss: 1.2591	LR: 0.100000
Training Epoch: 2 [11264/48750]	Loss: 1.2937	LR: 0.100000
Training Epoch: 2 [11520/48750]	Loss: 1.1828	LR: 0.100000
Training Epoch: 2 [11776/48750]	Loss: 1.3560	LR: 0.100000
Training Epoch: 2 [12032/48750]	Loss: 1.1798	LR: 0.100000
Training Epoch: 2 [12288/48750]	Loss: 1.2305	LR: 0.100000
Training Epoch: 2 [12544/48750]	Loss: 1.3476	LR: 0.100000
Training Epoch: 2 [12800/48750]	Loss: 1.2585	LR: 0.100000
Training Epoch: 2 [13056/48750]	Loss: 1.3570	LR: 0.100000
Training Epoch: 2 [13312/48750]	Loss: 1.4051	LR: 0.100000
Training Epoch: 2 [13568/48750]	Loss: 1.1818	LR: 0.100000
Training Epoch: 2 [13824/48750]	Loss: 1.3353	LR: 0.100000
Training Epoch: 2 [14080/48750]	Loss: 1.3009	LR: 0.100000
Training Epoch: 2 [14336/48750]	Loss: 1.3386	LR: 0.100000
Training Epoch: 2 [14592/48750]	Loss: 1.2906	LR: 0.100000
Training Epoch: 2 [14848/48750]	Loss: 1.3754	LR: 0.100000
Training Epoch: 2 [15104/48750]	Loss: 1.2819	LR: 0.100000
Training Epoch: 2 [15360/48750]	Loss: 1.3778	LR: 0.100000
Training Epoch: 2 [15616/48750]	Loss: 1.3310	LR: 0.100000
Training Epoch: 2 [15872/48750]	Loss: 1.1608	LR: 0.100000
Training Epoch: 2 [16128/48750]	Loss: 1.3168	LR: 0.100000
Training Epoch: 2 [16384/48750]	Loss: 1.2753	LR: 0.100000
Training Epoch: 2 [16640/48750]	Loss: 1.3679	LR: 0.100000
Training Epoch: 2 [16896/48750]	Loss: 1.3554	LR: 0.100000
Training Epoch: 2 [17152/48750]	Loss: 1.1226	LR: 0.100000
Training Epoch: 2 [17408/48750]	Loss: 1.1890	LR: 0.100000
Training Epoch: 2 [17664/48750]	Loss: 1.2022	LR: 0.100000
Training Epoch: 2 [17920/48750]	Loss: 1.2325	LR: 0.100000
Training Epoch: 2 [18176/48750]	Loss: 1.3229	LR: 0.100000
Training Epoch: 2 [18432/48750]	Loss: 1.2394	LR: 0.100000
Training Epoch: 2 [18688/48750]	Loss: 1.2840	LR: 0.100000
Training Epoch: 2 [18944/48750]	Loss: 1.2400	LR: 0.100000
Training Epoch: 2 [19200/48750]	Loss: 1.2210	LR: 0.100000
Training Epoch: 2 [19456/48750]	Loss: 1.1845	LR: 0.100000
Training Epoch: 2 [19712/48750]	Loss: 1.2270	LR: 0.100000
Training Epoch: 2 [19968/48750]	Loss: 1.1908	LR: 0.100000
Training Epoch: 2 [20224/48750]	Loss: 1.1502	LR: 0.100000
Training Epoch: 2 [20480/48750]	Loss: 1.1678	LR: 0.100000
Training Epoch: 2 [20736/48750]	Loss: 1.2656	LR: 0.100000
Training Epoch: 2 [20992/48750]	Loss: 1.1275	LR: 0.100000
Training Epoch: 2 [21248/48750]	Loss: 1.2294	LR: 0.100000
Training Epoch: 2 [21504/48750]	Loss: 1.1404	LR: 0.100000
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Training Epoch: 2 [47872/48750]	Loss: 1.1141	LR: 0.100000
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Training Epoch: 2 [48750/48750]	Loss: 0.8717	LR: 0.100000
Epoch 2 - Average Train Loss: 1.1894, Train Accuracy: 0.5747
Epoch 2 training time consumed: 29.47s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0044, Accuracy: 0.6249, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_22h_14m_01s/ResNet18-Cifar10-seed7-ret75-2-best.pth
Training Epoch: 3 [256/48750]	Loss: 1.0263	LR: 0.100000
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Training Epoch: 3 [48128/48750]	Loss: 0.8052	LR: 0.100000
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Training Epoch: 3 [48640/48750]	Loss: 0.8132	LR: 0.100000
Training Epoch: 3 [48750/48750]	Loss: 0.8056	LR: 0.100000
Epoch 3 - Average Train Loss: 0.9448, Train Accuracy: 0.6670
Epoch 3 training time consumed: 29.71s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0038, Accuracy: 0.6788, Time consumed:1.01s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_22h_14m_01s/ResNet18-Cifar10-seed7-ret75-3-best.pth
Training Epoch: 4 [256/48750]	Loss: 0.9325	LR: 0.100000
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Training Epoch: 4 [48750/48750]	Loss: 0.7008	LR: 0.100000
Epoch 4 - Average Train Loss: 0.7907, Train Accuracy: 0.7244
Epoch 4 training time consumed: 30.16s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0035, Accuracy: 0.7096, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_22h_14m_01s/ResNet18-Cifar10-seed7-ret75-4-best.pth
Training Epoch: 5 [256/48750]	Loss: 0.7748	LR: 0.100000
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Training Epoch: 5 [48640/48750]	Loss: 0.6213	LR: 0.100000
Training Epoch: 5 [48750/48750]	Loss: 0.7852	LR: 0.100000
Epoch 5 - Average Train Loss: 0.7066, Train Accuracy: 0.7522
Epoch 5 training time consumed: 29.79s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0034, Accuracy: 0.7204, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_22h_14m_01s/ResNet18-Cifar10-seed7-ret75-5-best.pth
Training Epoch: 6 [256/48750]	Loss: 0.6759	LR: 0.100000
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Training Epoch: 6 [48750/48750]	Loss: 0.6322	LR: 0.100000
Epoch 6 - Average Train Loss: 0.6351, Train Accuracy: 0.7778
Epoch 6 training time consumed: 29.77s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0027, Accuracy: 0.7770, Time consumed:1.01s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_22h_14m_01s/ResNet18-Cifar10-seed7-ret75-6-best.pth
Training Epoch: 7 [256/48750]	Loss: 0.5755	LR: 0.100000
Training Epoch: 7 [512/48750]	Loss: 0.5864	LR: 0.100000
Training Epoch: 7 [768/48750]	Loss: 0.6695	LR: 0.100000
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Training Epoch: 7 [2048/48750]	Loss: 0.7529	LR: 0.100000
Training Epoch: 7 [2304/48750]	Loss: 0.8066	LR: 0.100000
Training Epoch: 7 [2560/48750]	Loss: 0.6196	LR: 0.100000
Training Epoch: 7 [2816/48750]	Loss: 0.5924	LR: 0.100000
Training Epoch: 7 [3072/48750]	Loss: 0.5660	LR: 0.100000
Training Epoch: 7 [3328/48750]	Loss: 0.8037	LR: 0.100000
Training Epoch: 7 [3584/48750]	Loss: 0.6071	LR: 0.100000
Training Epoch: 7 [3840/48750]	Loss: 0.5894	LR: 0.100000
Training Epoch: 7 [4096/48750]	Loss: 0.5105	LR: 0.100000
Training Epoch: 7 [4352/48750]	Loss: 0.7163	LR: 0.100000
Training Epoch: 7 [4608/48750]	Loss: 0.5335	LR: 0.100000
Training Epoch: 7 [4864/48750]	Loss: 0.7401	LR: 0.100000
Training Epoch: 7 [5120/48750]	Loss: 0.6586	LR: 0.100000
Training Epoch: 7 [5376/48750]	Loss: 0.5932	LR: 0.100000
Training Epoch: 7 [5632/48750]	Loss: 0.6922	LR: 0.100000
Training Epoch: 7 [5888/48750]	Loss: 0.6311	LR: 0.100000
Training Epoch: 7 [6144/48750]	Loss: 0.5811	LR: 0.100000
Training Epoch: 7 [6400/48750]	Loss: 0.6787	LR: 0.100000
Training Epoch: 7 [6656/48750]	Loss: 0.5444	LR: 0.100000
Training Epoch: 7 [6912/48750]	Loss: 0.6246	LR: 0.100000
Training Epoch: 7 [7168/48750]	Loss: 0.6450	LR: 0.100000
Training Epoch: 7 [7424/48750]	Loss: 0.5470	LR: 0.100000
Training Epoch: 7 [7680/48750]	Loss: 0.5138	LR: 0.100000
Training Epoch: 7 [7936/48750]	Loss: 0.6361	LR: 0.100000
Training Epoch: 7 [8192/48750]	Loss: 0.6465	LR: 0.100000
Training Epoch: 7 [8448/48750]	Loss: 0.6622	LR: 0.100000
Training Epoch: 7 [8704/48750]	Loss: 0.5581	LR: 0.100000
Training Epoch: 7 [8960/48750]	Loss: 0.6090	LR: 0.100000
Training Epoch: 7 [9216/48750]	Loss: 0.5974	LR: 0.100000
Training Epoch: 7 [9472/48750]	Loss: 0.5909	LR: 0.100000
Training Epoch: 7 [9728/48750]	Loss: 0.6247	LR: 0.100000
Training Epoch: 7 [9984/48750]	Loss: 0.6401	LR: 0.100000
Training Epoch: 7 [10240/48750]	Loss: 0.6377	LR: 0.100000
Training Epoch: 7 [10496/48750]	Loss: 0.7059	LR: 0.100000
Training Epoch: 7 [10752/48750]	Loss: 0.6393	LR: 0.100000
Training Epoch: 7 [11008/48750]	Loss: 0.6421	LR: 0.100000
Training Epoch: 7 [11264/48750]	Loss: 0.5371	LR: 0.100000
Training Epoch: 7 [11520/48750]	Loss: 0.5429	LR: 0.100000
Training Epoch: 7 [11776/48750]	Loss: 0.5867	LR: 0.100000
Training Epoch: 7 [12032/48750]	Loss: 0.6472	LR: 0.100000
Training Epoch: 7 [12288/48750]	Loss: 0.5767	LR: 0.100000
Training Epoch: 7 [12544/48750]	Loss: 0.6158	LR: 0.100000
Training Epoch: 7 [12800/48750]	Loss: 0.6789	LR: 0.100000
Training Epoch: 7 [13056/48750]	Loss: 0.6672	LR: 0.100000
Training Epoch: 7 [13312/48750]	Loss: 0.5546	LR: 0.100000
Training Epoch: 7 [13568/48750]	Loss: 0.5554	LR: 0.100000
Training Epoch: 7 [13824/48750]	Loss: 0.6091	LR: 0.100000
Training Epoch: 7 [14080/48750]	Loss: 0.6117	LR: 0.100000
Training Epoch: 7 [14336/48750]	Loss: 0.5764	LR: 0.100000
Training Epoch: 7 [14592/48750]	Loss: 0.5457	LR: 0.100000
Training Epoch: 7 [14848/48750]	Loss: 0.4808	LR: 0.100000
Training Epoch: 7 [15104/48750]	Loss: 0.5474	LR: 0.100000
Training Epoch: 7 [15360/48750]	Loss: 0.5425	LR: 0.100000
Training Epoch: 7 [15616/48750]	Loss: 0.5905	LR: 0.100000
Training Epoch: 7 [15872/48750]	Loss: 0.5957	LR: 0.100000
Training Epoch: 7 [16128/48750]	Loss: 0.5788	LR: 0.100000
Training Epoch: 7 [16384/48750]	Loss: 0.6155	LR: 0.100000
Training Epoch: 7 [16640/48750]	Loss: 0.5475	LR: 0.100000
Training Epoch: 7 [16896/48750]	Loss: 0.4777	LR: 0.100000
Training Epoch: 7 [17152/48750]	Loss: 0.5948	LR: 0.100000
Training Epoch: 7 [17408/48750]	Loss: 0.6439	LR: 0.100000
Training Epoch: 7 [17664/48750]	Loss: 0.5722	LR: 0.100000
Training Epoch: 7 [17920/48750]	Loss: 0.5363	LR: 0.100000
Training Epoch: 7 [18176/48750]	Loss: 0.5916	LR: 0.100000
Training Epoch: 7 [18432/48750]	Loss: 0.6386	LR: 0.100000
Training Epoch: 7 [18688/48750]	Loss: 0.6429	LR: 0.100000
Training Epoch: 7 [18944/48750]	Loss: 0.7430	LR: 0.100000
Training Epoch: 7 [19200/48750]	Loss: 0.5636	LR: 0.100000
Training Epoch: 7 [19456/48750]	Loss: 0.5766	LR: 0.100000
Training Epoch: 7 [19712/48750]	Loss: 0.5657	LR: 0.100000
Training Epoch: 7 [19968/48750]	Loss: 0.5656	LR: 0.100000
Training Epoch: 7 [20224/48750]	Loss: 0.6322	LR: 0.100000
Training Epoch: 7 [20480/48750]	Loss: 0.4938	LR: 0.100000
Training Epoch: 7 [20736/48750]	Loss: 0.6604	LR: 0.100000
Training Epoch: 7 [20992/48750]	Loss: 0.5093	LR: 0.100000
Training Epoch: 7 [21248/48750]	Loss: 0.5417	LR: 0.100000
Training Epoch: 7 [21504/48750]	Loss: 0.5805	LR: 0.100000
Training Epoch: 7 [21760/48750]	Loss: 0.4751	LR: 0.100000
Training Epoch: 7 [22016/48750]	Loss: 0.6519	LR: 0.100000
Training Epoch: 7 [22272/48750]	Loss: 0.6174	LR: 0.100000
Training Epoch: 7 [22528/48750]	Loss: 0.5625	LR: 0.100000
Training Epoch: 7 [22784/48750]	Loss: 0.5874	LR: 0.100000
Training Epoch: 7 [23040/48750]	Loss: 0.5721	LR: 0.100000
Training Epoch: 7 [23296/48750]	Loss: 0.6937	LR: 0.100000
Training Epoch: 7 [23552/48750]	Loss: 0.4625	LR: 0.100000
Training Epoch: 7 [23808/48750]	Loss: 0.6319	LR: 0.100000
Training Epoch: 7 [24064/48750]	Loss: 0.5886	LR: 0.100000
Training Epoch: 7 [24320/48750]	Loss: 0.5572	LR: 0.100000
Training Epoch: 7 [24576/48750]	Loss: 0.5914	LR: 0.100000
Training Epoch: 7 [24832/48750]	Loss: 0.6319	LR: 0.100000
Training Epoch: 7 [25088/48750]	Loss: 0.5794	LR: 0.100000
Training Epoch: 7 [25344/48750]	Loss: 0.5673	LR: 0.100000
Training Epoch: 7 [25600/48750]	Loss: 0.5777	LR: 0.100000
Training Epoch: 7 [25856/48750]	Loss: 0.5296	LR: 0.100000
Training Epoch: 7 [26112/48750]	Loss: 0.6346	LR: 0.100000
Training Epoch: 7 [26368/48750]	Loss: 0.6457	LR: 0.100000
Training Epoch: 7 [26624/48750]	Loss: 0.5086	LR: 0.100000
Training Epoch: 7 [26880/48750]	Loss: 0.6409	LR: 0.100000
Training Epoch: 7 [27136/48750]	Loss: 0.5996	LR: 0.100000
Training Epoch: 7 [27392/48750]	Loss: 0.5244	LR: 0.100000
Training Epoch: 7 [27648/48750]	Loss: 0.5410	LR: 0.100000
Training Epoch: 7 [27904/48750]	Loss: 0.5721	LR: 0.100000
Training Epoch: 7 [28160/48750]	Loss: 0.5101	LR: 0.100000
Training Epoch: 7 [28416/48750]	Loss: 0.4586	LR: 0.100000
Training Epoch: 7 [28672/48750]	Loss: 0.5815	LR: 0.100000
Training Epoch: 7 [28928/48750]	Loss: 0.5501	LR: 0.100000
Training Epoch: 7 [29184/48750]	Loss: 0.6031	LR: 0.100000
Training Epoch: 7 [29440/48750]	Loss: 0.4739	LR: 0.100000
Training Epoch: 7 [29696/48750]	Loss: 0.6349	LR: 0.100000
Training Epoch: 7 [29952/48750]	Loss: 0.5014	LR: 0.100000
Training Epoch: 7 [30208/48750]	Loss: 0.6174	LR: 0.100000
Training Epoch: 7 [30464/48750]	Loss: 0.6385	LR: 0.100000
Training Epoch: 7 [30720/48750]	Loss: 0.6256	LR: 0.100000
Training Epoch: 7 [30976/48750]	Loss: 0.4689	LR: 0.100000
Training Epoch: 7 [31232/48750]	Loss: 0.5927	LR: 0.100000
Training Epoch: 7 [31488/48750]	Loss: 0.5837	LR: 0.100000
Training Epoch: 7 [31744/48750]	Loss: 0.5915	LR: 0.100000
Training Epoch: 7 [32000/48750]	Loss: 0.6524	LR: 0.100000
Training Epoch: 7 [32256/48750]	Loss: 0.6391	LR: 0.100000
Training Epoch: 7 [32512/48750]	Loss: 0.6057	LR: 0.100000
Training Epoch: 7 [32768/48750]	Loss: 0.5794	LR: 0.100000
Training Epoch: 7 [33024/48750]	Loss: 0.7106	LR: 0.100000
Training Epoch: 7 [33280/48750]	Loss: 0.6185	LR: 0.100000
Training Epoch: 7 [33536/48750]	Loss: 0.5320	LR: 0.100000
Training Epoch: 7 [33792/48750]	Loss: 0.6349	LR: 0.100000
Training Epoch: 7 [34048/48750]	Loss: 0.6604	LR: 0.100000
Training Epoch: 7 [34304/48750]	Loss: 0.5834	LR: 0.100000
Training Epoch: 7 [34560/48750]	Loss: 0.5644	LR: 0.100000
Training Epoch: 7 [34816/48750]	Loss: 0.5242	LR: 0.100000
Training Epoch: 7 [35072/48750]	Loss: 0.5789	LR: 0.100000
Training Epoch: 7 [35328/48750]	Loss: 0.5611	LR: 0.100000
Training Epoch: 7 [35584/48750]	Loss: 0.5026	LR: 0.100000
Training Epoch: 7 [35840/48750]	Loss: 0.6362	LR: 0.100000
Training Epoch: 7 [36096/48750]	Loss: 0.6700	LR: 0.100000
Training Epoch: 7 [36352/48750]	Loss: 0.6079	LR: 0.100000
Training Epoch: 7 [36608/48750]	Loss: 0.5905	LR: 0.100000
Training Epoch: 7 [36864/48750]	Loss: 0.6095	LR: 0.100000
Training Epoch: 7 [37120/48750]	Loss: 0.6594	LR: 0.100000
Training Epoch: 7 [37376/48750]	Loss: 0.5275	LR: 0.100000
Training Epoch: 7 [37632/48750]	Loss: 0.6447	LR: 0.100000
Training Epoch: 7 [37888/48750]	Loss: 0.6087	LR: 0.100000
Training Epoch: 7 [38144/48750]	Loss: 0.6096	LR: 0.100000
Training Epoch: 7 [38400/48750]	Loss: 0.6000	LR: 0.100000
Training Epoch: 7 [38656/48750]	Loss: 0.5163	LR: 0.100000
Training Epoch: 7 [38912/48750]	Loss: 0.5778	LR: 0.100000
Training Epoch: 7 [39168/48750]	Loss: 0.5454	LR: 0.100000
Training Epoch: 7 [39424/48750]	Loss: 0.6511	LR: 0.100000
Training Epoch: 7 [39680/48750]	Loss: 0.5307	LR: 0.100000
Training Epoch: 7 [39936/48750]	Loss: 0.5316	LR: 0.100000
Training Epoch: 7 [40192/48750]	Loss: 0.5189	LR: 0.100000
Training Epoch: 7 [40448/48750]	Loss: 0.6081	LR: 0.100000
Training Epoch: 7 [40704/48750]	Loss: 0.5904	LR: 0.100000
Training Epoch: 7 [40960/48750]	Loss: 0.4819	LR: 0.100000
Training Epoch: 7 [41216/48750]	Loss: 0.5970	LR: 0.100000
Training Epoch: 7 [41472/48750]	Loss: 0.6194	LR: 0.100000
Training Epoch: 7 [41728/48750]	Loss: 0.6529	LR: 0.100000
Training Epoch: 7 [41984/48750]	Loss: 0.5687	LR: 0.100000
Training Epoch: 7 [42240/48750]	Loss: 0.6781	LR: 0.100000
Training Epoch: 7 [42496/48750]	Loss: 0.5640	LR: 0.100000
Training Epoch: 7 [42752/48750]	Loss: 0.6849	LR: 0.100000
Training Epoch: 7 [43008/48750]	Loss: 0.5739	LR: 0.100000
Training Epoch: 7 [43264/48750]	Loss: 0.4968	LR: 0.100000
Training Epoch: 7 [43520/48750]	Loss: 0.6904	LR: 0.100000
Training Epoch: 7 [43776/48750]	Loss: 0.6509	LR: 0.100000
Training Epoch: 7 [44032/48750]	Loss: 0.5595	LR: 0.100000
Training Epoch: 7 [44288/48750]	Loss: 0.5495	LR: 0.100000
Training Epoch: 7 [44544/48750]	Loss: 0.5805	LR: 0.100000
Training Epoch: 7 [44800/48750]	Loss: 0.5925	LR: 0.100000
Training Epoch: 7 [45056/48750]	Loss: 0.6642	LR: 0.100000
Training Epoch: 7 [45312/48750]	Loss: 0.6616	LR: 0.100000
Training Epoch: 7 [45568/48750]	Loss: 0.5589	LR: 0.100000
Training Epoch: 7 [45824/48750]	Loss: 0.5767	LR: 0.100000
Training Epoch: 7 [46080/48750]	Loss: 0.5329	LR: 0.100000
Training Epoch: 7 [46336/48750]	Loss: 0.6699	LR: 0.100000
Training Epoch: 7 [46592/48750]	Loss: 0.5545	LR: 0.100000
Training Epoch: 7 [46848/48750]	Loss: 0.6281	LR: 0.100000
Training Epoch: 7 [47104/48750]	Loss: 0.5289	LR: 0.100000
Training Epoch: 7 [47360/48750]	Loss: 0.5387	LR: 0.100000
Training Epoch: 7 [47616/48750]	Loss: 0.6182	LR: 0.100000
Training Epoch: 7 [47872/48750]	Loss: 0.6658	LR: 0.100000
Training Epoch: 7 [48128/48750]	Loss: 0.6518	LR: 0.100000
Training Epoch: 7 [48384/48750]	Loss: 0.5089	LR: 0.100000
Training Epoch: 7 [48640/48750]	Loss: 0.4791	LR: 0.100000
Training Epoch: 7 [48750/48750]	Loss: 0.6264	LR: 0.100000
Epoch 7 - Average Train Loss: 0.5951, Train Accuracy: 0.7930
Epoch 7 training time consumed: 30.08s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0027, Accuracy: 0.7731, Time consumed:1.01s
Training Epoch: 8 [256/48750]	Loss: 0.5485	LR: 0.020000
Training Epoch: 8 [512/48750]	Loss: 0.6105	LR: 0.020000
Training Epoch: 8 [768/48750]	Loss: 0.4555	LR: 0.020000
Training Epoch: 8 [1024/48750]	Loss: 0.5293	LR: 0.020000
Training Epoch: 8 [1280/48750]	Loss: 0.5452	LR: 0.020000
Training Epoch: 8 [1536/48750]	Loss: 0.4999	LR: 0.020000
Training Epoch: 8 [1792/48750]	Loss: 0.5767	LR: 0.020000
Training Epoch: 8 [2048/48750]	Loss: 0.5196	LR: 0.020000
Training Epoch: 8 [2304/48750]	Loss: 0.5130	LR: 0.020000
Training Epoch: 8 [2560/48750]	Loss: 0.5432	LR: 0.020000
Training Epoch: 8 [2816/48750]	Loss: 0.4805	LR: 0.020000
Training Epoch: 8 [3072/48750]	Loss: 0.5790	LR: 0.020000
Training Epoch: 8 [3328/48750]	Loss: 0.5640	LR: 0.020000
Training Epoch: 8 [3584/48750]	Loss: 0.5368	LR: 0.020000
Training Epoch: 8 [3840/48750]	Loss: 0.4451	LR: 0.020000
Training Epoch: 8 [4096/48750]	Loss: 0.4176	LR: 0.020000
Training Epoch: 8 [4352/48750]	Loss: 0.4808	LR: 0.020000
Training Epoch: 8 [4608/48750]	Loss: 0.4743	LR: 0.020000
Training Epoch: 8 [4864/48750]	Loss: 0.4745	LR: 0.020000
Training Epoch: 8 [5120/48750]	Loss: 0.5205	LR: 0.020000
Training Epoch: 8 [5376/48750]	Loss: 0.5649	LR: 0.020000
Training Epoch: 8 [5632/48750]	Loss: 0.4784	LR: 0.020000
Training Epoch: 8 [5888/48750]	Loss: 0.4208	LR: 0.020000
Training Epoch: 8 [6144/48750]	Loss: 0.4013	LR: 0.020000
Training Epoch: 8 [6400/48750]	Loss: 0.4222	LR: 0.020000
Training Epoch: 8 [6656/48750]	Loss: 0.4341	LR: 0.020000
Training Epoch: 8 [6912/48750]	Loss: 0.4313	LR: 0.020000
Training Epoch: 8 [7168/48750]	Loss: 0.4654	LR: 0.020000
Training Epoch: 8 [7424/48750]	Loss: 0.4575	LR: 0.020000
Training Epoch: 8 [7680/48750]	Loss: 0.4114	LR: 0.020000
Training Epoch: 8 [7936/48750]	Loss: 0.5065	LR: 0.020000
Training Epoch: 8 [8192/48750]	Loss: 0.5101	LR: 0.020000
Training Epoch: 8 [8448/48750]	Loss: 0.5089	LR: 0.020000
Training Epoch: 8 [8704/48750]	Loss: 0.4685	LR: 0.020000
Training Epoch: 8 [8960/48750]	Loss: 0.4783	LR: 0.020000
Training Epoch: 8 [9216/48750]	Loss: 0.4487	LR: 0.020000
Training Epoch: 8 [9472/48750]	Loss: 0.4339	LR: 0.020000
Training Epoch: 8 [9728/48750]	Loss: 0.4344	LR: 0.020000
Training Epoch: 8 [9984/48750]	Loss: 0.4540	LR: 0.020000
Training Epoch: 8 [10240/48750]	Loss: 0.4070	LR: 0.020000
Training Epoch: 8 [10496/48750]	Loss: 0.4414	LR: 0.020000
Training Epoch: 8 [10752/48750]	Loss: 0.4770	LR: 0.020000
Training Epoch: 8 [11008/48750]	Loss: 0.3867	LR: 0.020000
Training Epoch: 8 [11264/48750]	Loss: 0.4855	LR: 0.020000
Training Epoch: 8 [11520/48750]	Loss: 0.4820	LR: 0.020000
Training Epoch: 8 [11776/48750]	Loss: 0.5153	LR: 0.020000
Training Epoch: 8 [12032/48750]	Loss: 0.4836	LR: 0.020000
Training Epoch: 8 [12288/48750]	Loss: 0.5226	LR: 0.020000
Training Epoch: 8 [12544/48750]	Loss: 0.4361	LR: 0.020000
Training Epoch: 8 [12800/48750]	Loss: 0.4434	LR: 0.020000
Training Epoch: 8 [13056/48750]	Loss: 0.4640	LR: 0.020000
Training Epoch: 8 [13312/48750]	Loss: 0.5392	LR: 0.020000
Training Epoch: 8 [13568/48750]	Loss: 0.5343	LR: 0.020000
Training Epoch: 8 [13824/48750]	Loss: 0.4137	LR: 0.020000
Training Epoch: 8 [14080/48750]	Loss: 0.4405	LR: 0.020000
Training Epoch: 8 [14336/48750]	Loss: 0.4385	LR: 0.020000
Training Epoch: 8 [14592/48750]	Loss: 0.4396	LR: 0.020000
Training Epoch: 8 [14848/48750]	Loss: 0.4597	LR: 0.020000
Training Epoch: 8 [15104/48750]	Loss: 0.4511	LR: 0.020000
Training Epoch: 8 [15360/48750]	Loss: 0.4200	LR: 0.020000
Training Epoch: 8 [15616/48750]	Loss: 0.3078	LR: 0.020000
Training Epoch: 8 [15872/48750]	Loss: 0.4317	LR: 0.020000
Training Epoch: 8 [16128/48750]	Loss: 0.4346	LR: 0.020000
Training Epoch: 8 [16384/48750]	Loss: 0.4867	LR: 0.020000
Training Epoch: 8 [16640/48750]	Loss: 0.4008	LR: 0.020000
Training Epoch: 8 [16896/48750]	Loss: 0.4771	LR: 0.020000
Training Epoch: 8 [17152/48750]	Loss: 0.5085	LR: 0.020000
Training Epoch: 8 [17408/48750]	Loss: 0.3984	LR: 0.020000
Training Epoch: 8 [17664/48750]	Loss: 0.5104	LR: 0.020000
Training Epoch: 8 [17920/48750]	Loss: 0.4311	LR: 0.020000
Training Epoch: 8 [18176/48750]	Loss: 0.3849	LR: 0.020000
Training Epoch: 8 [18432/48750]	Loss: 0.4157	LR: 0.020000
Training Epoch: 8 [18688/48750]	Loss: 0.4362	LR: 0.020000
Training Epoch: 8 [18944/48750]	Loss: 0.4282	LR: 0.020000
Training Epoch: 8 [19200/48750]	Loss: 0.4023	LR: 0.020000
Training Epoch: 8 [19456/48750]	Loss: 0.4462	LR: 0.020000
Training Epoch: 8 [19712/48750]	Loss: 0.4040	LR: 0.020000
Training Epoch: 8 [19968/48750]	Loss: 0.5414	LR: 0.020000
Training Epoch: 8 [20224/48750]	Loss: 0.4513	LR: 0.020000
Training Epoch: 8 [20480/48750]	Loss: 0.4814	LR: 0.020000
Training Epoch: 8 [20736/48750]	Loss: 0.4026	LR: 0.020000
Training Epoch: 8 [20992/48750]	Loss: 0.3669	LR: 0.020000
Training Epoch: 8 [21248/48750]	Loss: 0.4001	LR: 0.020000
Training Epoch: 8 [21504/48750]	Loss: 0.3773	LR: 0.020000
Training Epoch: 8 [21760/48750]	Loss: 0.4867	LR: 0.020000
Training Epoch: 8 [22016/48750]	Loss: 0.4491	LR: 0.020000
Training Epoch: 8 [22272/48750]	Loss: 0.4364	LR: 0.020000
Training Epoch: 8 [22528/48750]	Loss: 0.3616	LR: 0.020000
Training Epoch: 8 [22784/48750]	Loss: 0.4226	LR: 0.020000
Training Epoch: 8 [23040/48750]	Loss: 0.4533	LR: 0.020000
Training Epoch: 8 [23296/48750]	Loss: 0.4605	LR: 0.020000
Training Epoch: 8 [23552/48750]	Loss: 0.4540	LR: 0.020000
Training Epoch: 8 [23808/48750]	Loss: 0.4536	LR: 0.020000
Training Epoch: 8 [24064/48750]	Loss: 0.3703	LR: 0.020000
Training Epoch: 8 [24320/48750]	Loss: 0.5033	LR: 0.020000
Training Epoch: 8 [24576/48750]	Loss: 0.3466	LR: 0.020000
Training Epoch: 8 [24832/48750]	Loss: 0.5029	LR: 0.020000
Training Epoch: 8 [25088/48750]	Loss: 0.3953	LR: 0.020000
Training Epoch: 8 [25344/48750]	Loss: 0.3547	LR: 0.020000
Training Epoch: 8 [25600/48750]	Loss: 0.3884	LR: 0.020000
Training Epoch: 8 [25856/48750]	Loss: 0.3961	LR: 0.020000
Training Epoch: 8 [26112/48750]	Loss: 0.4705	LR: 0.020000
Training Epoch: 8 [26368/48750]	Loss: 0.4224	LR: 0.020000
Training Epoch: 8 [26624/48750]	Loss: 0.5375	LR: 0.020000
Training Epoch: 8 [26880/48750]	Loss: 0.3911	LR: 0.020000
Training Epoch: 8 [27136/48750]	Loss: 0.3985	LR: 0.020000
Training Epoch: 8 [27392/48750]	Loss: 0.4786	LR: 0.020000
Training Epoch: 8 [27648/48750]	Loss: 0.3807	LR: 0.020000
Training Epoch: 8 [27904/48750]	Loss: 0.4468	LR: 0.020000
Training Epoch: 8 [28160/48750]	Loss: 0.4784	LR: 0.020000
Training Epoch: 8 [28416/48750]	Loss: 0.4107	LR: 0.020000
Training Epoch: 8 [28672/48750]	Loss: 0.3132	LR: 0.020000
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Training Epoch: 8 [32256/48750]	Loss: 0.3585	LR: 0.020000
Training Epoch: 8 [32512/48750]	Loss: 0.3983	LR: 0.020000
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Training Epoch: 8 [45056/48750]	Loss: 0.4199	LR: 0.020000
Training Epoch: 8 [45312/48750]	Loss: 0.4471	LR: 0.020000
Training Epoch: 8 [45568/48750]	Loss: 0.4850	LR: 0.020000
Training Epoch: 8 [45824/48750]	Loss: 0.4030	LR: 0.020000
Training Epoch: 8 [46080/48750]	Loss: 0.5114	LR: 0.020000
Training Epoch: 8 [46336/48750]	Loss: 0.3964	LR: 0.020000
Training Epoch: 8 [46592/48750]	Loss: 0.3883	LR: 0.020000
Training Epoch: 8 [46848/48750]	Loss: 0.4606	LR: 0.020000
Training Epoch: 8 [47104/48750]	Loss: 0.4038	LR: 0.020000
Training Epoch: 8 [47360/48750]	Loss: 0.3917	LR: 0.020000
Training Epoch: 8 [47616/48750]	Loss: 0.4401	LR: 0.020000
Training Epoch: 8 [47872/48750]	Loss: 0.4559	LR: 0.020000
Training Epoch: 8 [48128/48750]	Loss: 0.4575	LR: 0.020000
Training Epoch: 8 [48384/48750]	Loss: 0.4312	LR: 0.020000
Training Epoch: 8 [48640/48750]	Loss: 0.2978	LR: 0.020000
Training Epoch: 8 [48750/48750]	Loss: 0.5314	LR: 0.020000
Epoch 8 - Average Train Loss: 0.4419, Train Accuracy: 0.8464
Epoch 8 training time consumed: 29.84s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0017, Accuracy: 0.8581, Time consumed:1.01s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_22h_14m_01s/ResNet18-Cifar10-seed7-ret75-8-best.pth
Training Epoch: 9 [256/48750]	Loss: 0.3661	LR: 0.020000
Training Epoch: 9 [512/48750]	Loss: 0.3954	LR: 0.020000
Training Epoch: 9 [768/48750]	Loss: 0.4017	LR: 0.020000
Training Epoch: 9 [1024/48750]	Loss: 0.4086	LR: 0.020000
Training Epoch: 9 [1280/48750]	Loss: 0.4645	LR: 0.020000
Training Epoch: 9 [1536/48750]	Loss: 0.4049	LR: 0.020000
Training Epoch: 9 [1792/48750]	Loss: 0.4012	LR: 0.020000
Training Epoch: 9 [2048/48750]	Loss: 0.3569	LR: 0.020000
Training Epoch: 9 [2304/48750]	Loss: 0.4079	LR: 0.020000
Training Epoch: 9 [2560/48750]	Loss: 0.3617	LR: 0.020000
Training Epoch: 9 [2816/48750]	Loss: 0.3484	LR: 0.020000
Training Epoch: 9 [3072/48750]	Loss: 0.3072	LR: 0.020000
Training Epoch: 9 [3328/48750]	Loss: 0.3280	LR: 0.020000
Training Epoch: 9 [3584/48750]	Loss: 0.4713	LR: 0.020000
Training Epoch: 9 [3840/48750]	Loss: 0.4530	LR: 0.020000
Training Epoch: 9 [4096/48750]	Loss: 0.4129	LR: 0.020000
Training Epoch: 9 [4352/48750]	Loss: 0.3442	LR: 0.020000
Training Epoch: 9 [4608/48750]	Loss: 0.3867	LR: 0.020000
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Training Epoch: 9 [5120/48750]	Loss: 0.4211	LR: 0.020000
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Training Epoch: 9 [16384/48750]	Loss: 0.4846	LR: 0.020000
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Training Epoch: 9 [32256/48750]	Loss: 0.2851	LR: 0.020000
Training Epoch: 9 [32512/48750]	Loss: 0.2949	LR: 0.020000
Training Epoch: 9 [32768/48750]	Loss: 0.3330	LR: 0.020000
Training Epoch: 9 [33024/48750]	Loss: 0.4301	LR: 0.020000
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Training Epoch: 9 [37888/48750]	Loss: 0.3026	LR: 0.020000
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Training Epoch: 9 [40192/48750]	Loss: 0.3092	LR: 0.020000
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Training Epoch: 9 [42496/48750]	Loss: 0.3789	LR: 0.020000
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Training Epoch: 9 [44800/48750]	Loss: 0.3706	LR: 0.020000
Training Epoch: 9 [45056/48750]	Loss: 0.3904	LR: 0.020000
Training Epoch: 9 [45312/48750]	Loss: 0.3639	LR: 0.020000
Training Epoch: 9 [45568/48750]	Loss: 0.3893	LR: 0.020000
Training Epoch: 9 [45824/48750]	Loss: 0.3165	LR: 0.020000
Training Epoch: 9 [46080/48750]	Loss: 0.4228	LR: 0.020000
Training Epoch: 9 [46336/48750]	Loss: 0.3976	LR: 0.020000
Training Epoch: 9 [46592/48750]	Loss: 0.4568	LR: 0.020000
Training Epoch: 9 [46848/48750]	Loss: 0.3564	LR: 0.020000
Training Epoch: 9 [47104/48750]	Loss: 0.4365	LR: 0.020000
Training Epoch: 9 [47360/48750]	Loss: 0.3028	LR: 0.020000
Training Epoch: 9 [47616/48750]	Loss: 0.4582	LR: 0.020000
Training Epoch: 9 [47872/48750]	Loss: 0.3594	LR: 0.020000
Training Epoch: 9 [48128/48750]	Loss: 0.3739	LR: 0.020000
Training Epoch: 9 [48384/48750]	Loss: 0.3575	LR: 0.020000
Training Epoch: 9 [48640/48750]	Loss: 0.3706	LR: 0.020000
Training Epoch: 9 [48750/48750]	Loss: 0.3489	LR: 0.020000
Epoch 9 - Average Train Loss: 0.3912, Train Accuracy: 0.8648
Epoch 9 training time consumed: 29.96s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0015, Accuracy: 0.8682, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_22h_14m_01s/ResNet18-Cifar10-seed7-ret75-9-best.pth
Training Epoch: 10 [256/48750]	Loss: 0.3489	LR: 0.020000
Training Epoch: 10 [512/48750]	Loss: 0.4027	LR: 0.020000
Training Epoch: 10 [768/48750]	Loss: 0.4195	LR: 0.020000
Training Epoch: 10 [1024/48750]	Loss: 0.3029	LR: 0.020000
Training Epoch: 10 [1280/48750]	Loss: 0.3432	LR: 0.020000
Training Epoch: 10 [1536/48750]	Loss: 0.3900	LR: 0.020000
Training Epoch: 10 [1792/48750]	Loss: 0.3843	LR: 0.020000
Training Epoch: 10 [2048/48750]	Loss: 0.3080	LR: 0.020000
Training Epoch: 10 [2304/48750]	Loss: 0.3403	LR: 0.020000
Training Epoch: 10 [2560/48750]	Loss: 0.4130	LR: 0.020000
Training Epoch: 10 [2816/48750]	Loss: 0.4697	LR: 0.020000
Training Epoch: 10 [3072/48750]	Loss: 0.3863	LR: 0.020000
Training Epoch: 10 [3328/48750]	Loss: 0.3086	LR: 0.020000
Training Epoch: 10 [3584/48750]	Loss: 0.3071	LR: 0.020000
Training Epoch: 10 [3840/48750]	Loss: 0.3479	LR: 0.020000
Training Epoch: 10 [4096/48750]	Loss: 0.4015	LR: 0.020000
Training Epoch: 10 [4352/48750]	Loss: 0.3582	LR: 0.020000
Training Epoch: 10 [4608/48750]	Loss: 0.3521	LR: 0.020000
Training Epoch: 10 [4864/48750]	Loss: 0.4325	LR: 0.020000
Training Epoch: 10 [5120/48750]	Loss: 0.4623	LR: 0.020000
Training Epoch: 10 [5376/48750]	Loss: 0.3853	LR: 0.020000
Training Epoch: 10 [5632/48750]	Loss: 0.3450	LR: 0.020000
Training Epoch: 10 [5888/48750]	Loss: 0.3385	LR: 0.020000
Training Epoch: 10 [6144/48750]	Loss: 0.4037	LR: 0.020000
Training Epoch: 10 [6400/48750]	Loss: 0.3674	LR: 0.020000
Training Epoch: 10 [6656/48750]	Loss: 0.4375	LR: 0.020000
Training Epoch: 10 [6912/48750]	Loss: 0.4267	LR: 0.020000
Training Epoch: 10 [7168/48750]	Loss: 0.4452	LR: 0.020000
Training Epoch: 10 [7424/48750]	Loss: 0.3759	LR: 0.020000
Training Epoch: 10 [7680/48750]	Loss: 0.4609	LR: 0.020000
Training Epoch: 10 [7936/48750]	Loss: 0.3658	LR: 0.020000
Training Epoch: 10 [8192/48750]	Loss: 0.4503	LR: 0.020000
Training Epoch: 10 [8448/48750]	Loss: 0.3472	LR: 0.020000
Training Epoch: 10 [8704/48750]	Loss: 0.4407	LR: 0.020000
Training Epoch: 10 [8960/48750]	Loss: 0.3533	LR: 0.020000
Training Epoch: 10 [9216/48750]	Loss: 0.3296	LR: 0.020000
Training Epoch: 10 [9472/48750]	Loss: 0.3800	LR: 0.020000
Training Epoch: 10 [9728/48750]	Loss: 0.3674	LR: 0.020000
Training Epoch: 10 [9984/48750]	Loss: 0.4239	LR: 0.020000
Training Epoch: 10 [10240/48750]	Loss: 0.3846	LR: 0.020000
Training Epoch: 10 [10496/48750]	Loss: 0.4072	LR: 0.020000
Training Epoch: 10 [10752/48750]	Loss: 0.3917	LR: 0.020000
Training Epoch: 10 [11008/48750]	Loss: 0.3558	LR: 0.020000
Training Epoch: 10 [11264/48750]	Loss: 0.3008	LR: 0.020000
Training Epoch: 10 [11520/48750]	Loss: 0.4316	LR: 0.020000
Training Epoch: 10 [11776/48750]	Loss: 0.3704	LR: 0.020000
Training Epoch: 10 [12032/48750]	Loss: 0.2935	LR: 0.020000
Training Epoch: 10 [12288/48750]	Loss: 0.3939	LR: 0.020000
Training Epoch: 10 [12544/48750]	Loss: 0.4102	LR: 0.020000
Training Epoch: 10 [12800/48750]	Loss: 0.3898	LR: 0.020000
Training Epoch: 10 [13056/48750]	Loss: 0.4550	LR: 0.020000
Training Epoch: 10 [13312/48750]	Loss: 0.3691	LR: 0.020000
Training Epoch: 10 [13568/48750]	Loss: 0.3180	LR: 0.020000
Training Epoch: 10 [13824/48750]	Loss: 0.2952	LR: 0.020000
Training Epoch: 10 [14080/48750]	Loss: 0.3080	LR: 0.020000
Training Epoch: 10 [14336/48750]	Loss: 0.3638	LR: 0.020000
Training Epoch: 10 [14592/48750]	Loss: 0.3642	LR: 0.020000
Training Epoch: 10 [14848/48750]	Loss: 0.4279	LR: 0.020000
Training Epoch: 10 [15104/48750]	Loss: 0.3577	LR: 0.020000
Training Epoch: 10 [15360/48750]	Loss: 0.4222	LR: 0.020000
Training Epoch: 10 [15616/48750]	Loss: 0.4148	LR: 0.020000
Training Epoch: 10 [15872/48750]	Loss: 0.3198	LR: 0.020000
Training Epoch: 10 [16128/48750]	Loss: 0.3771	LR: 0.020000
Training Epoch: 10 [16384/48750]	Loss: 0.3579	LR: 0.020000
Training Epoch: 10 [16640/48750]	Loss: 0.4720	LR: 0.020000
Training Epoch: 10 [16896/48750]	Loss: 0.3250	LR: 0.020000
Training Epoch: 10 [17152/48750]	Loss: 0.4389	LR: 0.020000
Training Epoch: 10 [17408/48750]	Loss: 0.3715	LR: 0.020000
Training Epoch: 10 [17664/48750]	Loss: 0.3425	LR: 0.020000
Training Epoch: 10 [17920/48750]	Loss: 0.3782	LR: 0.020000
Training Epoch: 10 [18176/48750]	Loss: 0.4340	LR: 0.020000
Training Epoch: 10 [18432/48750]	Loss: 0.3745	LR: 0.020000
Training Epoch: 10 [18688/48750]	Loss: 0.3002	LR: 0.020000
Training Epoch: 10 [18944/48750]	Loss: 0.3583	LR: 0.020000
Training Epoch: 10 [19200/48750]	Loss: 0.3519	LR: 0.020000
Training Epoch: 10 [19456/48750]	Loss: 0.4357	LR: 0.020000
Training Epoch: 10 [19712/48750]	Loss: 0.3860	LR: 0.020000
Training Epoch: 10 [19968/48750]	Loss: 0.3132	LR: 0.020000
Training Epoch: 10 [20224/48750]	Loss: 0.3542	LR: 0.020000
Training Epoch: 10 [20480/48750]	Loss: 0.4391	LR: 0.020000
Training Epoch: 10 [20736/48750]	Loss: 0.3548	LR: 0.020000
Training Epoch: 10 [20992/48750]	Loss: 0.3851	LR: 0.020000
Training Epoch: 10 [21248/48750]	Loss: 0.4655	LR: 0.020000
Training Epoch: 10 [21504/48750]	Loss: 0.4262	LR: 0.020000
Training Epoch: 10 [21760/48750]	Loss: 0.4430	LR: 0.020000
Training Epoch: 10 [22016/48750]	Loss: 0.3738	LR: 0.020000
Training Epoch: 10 [22272/48750]	Loss: 0.3217	LR: 0.020000
Training Epoch: 10 [22528/48750]	Loss: 0.4639	LR: 0.020000
Training Epoch: 10 [22784/48750]	Loss: 0.3209	LR: 0.020000
Training Epoch: 10 [23040/48750]	Loss: 0.4464	LR: 0.020000
Training Epoch: 10 [23296/48750]	Loss: 0.3857	LR: 0.020000
Training Epoch: 10 [23552/48750]	Loss: 0.4199	LR: 0.020000
Training Epoch: 10 [23808/48750]	Loss: 0.4671	LR: 0.020000
Training Epoch: 10 [24064/48750]	Loss: 0.3028	LR: 0.020000
Training Epoch: 10 [24320/48750]	Loss: 0.4176	LR: 0.020000
Training Epoch: 10 [24576/48750]	Loss: 0.5008	LR: 0.020000
Training Epoch: 10 [24832/48750]	Loss: 0.3542	LR: 0.020000
Training Epoch: 10 [25088/48750]	Loss: 0.3046	LR: 0.020000
Training Epoch: 10 [25344/48750]	Loss: 0.3813	LR: 0.020000
Training Epoch: 10 [25600/48750]	Loss: 0.4206	LR: 0.020000
Training Epoch: 10 [25856/48750]	Loss: 0.3978	LR: 0.020000
Training Epoch: 10 [26112/48750]	Loss: 0.3714	LR: 0.020000
Training Epoch: 10 [26368/48750]	Loss: 0.3457	LR: 0.020000
Training Epoch: 10 [26624/48750]	Loss: 0.3399	LR: 0.020000
Training Epoch: 10 [26880/48750]	Loss: 0.3606	LR: 0.020000
Training Epoch: 10 [27136/48750]	Loss: 0.3302	LR: 0.020000
Training Epoch: 10 [27392/48750]	Loss: 0.3434	LR: 0.020000
Training Epoch: 10 [27648/48750]	Loss: 0.4187	LR: 0.020000
Training Epoch: 10 [27904/48750]	Loss: 0.3547	LR: 0.020000
Training Epoch: 10 [28160/48750]	Loss: 0.4411	LR: 0.020000
Training Epoch: 10 [28416/48750]	Loss: 0.3881	LR: 0.020000
Training Epoch: 10 [28672/48750]	Loss: 0.3107	LR: 0.020000
Training Epoch: 10 [28928/48750]	Loss: 0.2832	LR: 0.020000
Training Epoch: 10 [29184/48750]	Loss: 0.3789	LR: 0.020000
Training Epoch: 10 [29440/48750]	Loss: 0.3558	LR: 0.020000
Training Epoch: 10 [29696/48750]	Loss: 0.4299	LR: 0.020000
Training Epoch: 10 [29952/48750]	Loss: 0.3500	LR: 0.020000
Training Epoch: 10 [30208/48750]	Loss: 0.2837	LR: 0.020000
Training Epoch: 10 [30464/48750]	Loss: 0.4652	LR: 0.020000
Training Epoch: 10 [30720/48750]	Loss: 0.4339	LR: 0.020000
Training Epoch: 10 [30976/48750]	Loss: 0.3403	LR: 0.020000
Training Epoch: 10 [31232/48750]	Loss: 0.4543	LR: 0.020000
Training Epoch: 10 [31488/48750]	Loss: 0.3612	LR: 0.020000
Training Epoch: 10 [31744/48750]	Loss: 0.4792	LR: 0.020000
Training Epoch: 10 [32000/48750]	Loss: 0.3099	LR: 0.020000
Training Epoch: 10 [32256/48750]	Loss: 0.3754	LR: 0.020000
Training Epoch: 10 [32512/48750]	Loss: 0.4572	LR: 0.020000
Training Epoch: 10 [32768/48750]	Loss: 0.4160	LR: 0.020000
Training Epoch: 10 [33024/48750]	Loss: 0.3747	LR: 0.020000
Training Epoch: 10 [33280/48750]	Loss: 0.3736	LR: 0.020000
Training Epoch: 10 [33536/48750]	Loss: 0.3746	LR: 0.020000
Training Epoch: 10 [33792/48750]	Loss: 0.4655	LR: 0.020000
Training Epoch: 10 [34048/48750]	Loss: 0.4466	LR: 0.020000
Training Epoch: 10 [34304/48750]	Loss: 0.3458	LR: 0.020000
Training Epoch: 10 [34560/48750]	Loss: 0.3874	LR: 0.020000
Training Epoch: 10 [34816/48750]	Loss: 0.3514	LR: 0.020000
Training Epoch: 10 [35072/48750]	Loss: 0.3090	LR: 0.020000
Training Epoch: 10 [35328/48750]	Loss: 0.3731	LR: 0.020000
Training Epoch: 10 [35584/48750]	Loss: 0.3773	LR: 0.020000
Training Epoch: 10 [35840/48750]	Loss: 0.4223	LR: 0.020000
Training Epoch: 10 [36096/48750]	Loss: 0.3232	LR: 0.020000
Training Epoch: 10 [36352/48750]	Loss: 0.3338	LR: 0.020000
Training Epoch: 10 [36608/48750]	Loss: 0.3537	LR: 0.020000
Training Epoch: 10 [36864/48750]	Loss: 0.3702	LR: 0.020000
Training Epoch: 10 [37120/48750]	Loss: 0.3438	LR: 0.020000
Training Epoch: 10 [37376/48750]	Loss: 0.3030	LR: 0.020000
Training Epoch: 10 [37632/48750]	Loss: 0.3925	LR: 0.020000
Training Epoch: 10 [37888/48750]	Loss: 0.3431	LR: 0.020000
Training Epoch: 10 [38144/48750]	Loss: 0.4439	LR: 0.020000
Training Epoch: 10 [38400/48750]	Loss: 0.2974	LR: 0.020000
Training Epoch: 10 [38656/48750]	Loss: 0.3549	LR: 0.020000
Training Epoch: 10 [38912/48750]	Loss: 0.3732	LR: 0.020000
Training Epoch: 10 [39168/48750]	Loss: 0.3747	LR: 0.020000
Training Epoch: 10 [39424/48750]	Loss: 0.4645	LR: 0.020000
Training Epoch: 10 [39680/48750]	Loss: 0.3649	LR: 0.020000
Training Epoch: 10 [39936/48750]	Loss: 0.3434	LR: 0.020000
Training Epoch: 10 [40192/48750]	Loss: 0.4195	LR: 0.020000
Training Epoch: 10 [40448/48750]	Loss: 0.4158	LR: 0.020000
Training Epoch: 10 [40704/48750]	Loss: 0.3790	LR: 0.020000
Training Epoch: 10 [40960/48750]	Loss: 0.3548	LR: 0.020000
Training Epoch: 10 [41216/48750]	Loss: 0.3855	LR: 0.020000
Training Epoch: 10 [41472/48750]	Loss: 0.4139	LR: 0.020000
Training Epoch: 10 [41728/48750]	Loss: 0.3418	LR: 0.020000
Training Epoch: 10 [41984/48750]	Loss: 0.3832	LR: 0.020000
Training Epoch: 10 [42240/48750]	Loss: 0.3342	LR: 0.020000
Training Epoch: 10 [42496/48750]	Loss: 0.3036	LR: 0.020000
Training Epoch: 10 [42752/48750]	Loss: 0.2966	LR: 0.020000
Training Epoch: 10 [43008/48750]	Loss: 0.3926	LR: 0.020000
Training Epoch: 10 [43264/48750]	Loss: 0.4202	LR: 0.020000
Training Epoch: 10 [43520/48750]	Loss: 0.4132	LR: 0.020000
Training Epoch: 10 [43776/48750]	Loss: 0.3760	LR: 0.020000
Training Epoch: 10 [44032/48750]	Loss: 0.3471	LR: 0.020000
Training Epoch: 10 [44288/48750]	Loss: 0.3658	LR: 0.020000
Training Epoch: 10 [44544/48750]	Loss: 0.3825	LR: 0.020000
Training Epoch: 10 [44800/48750]	Loss: 0.3354	LR: 0.020000
Training Epoch: 10 [45056/48750]	Loss: 0.3941	LR: 0.020000
Training Epoch: 10 [45312/48750]	Loss: 0.3665	LR: 0.020000
Training Epoch: 10 [45568/48750]	Loss: 0.4034	LR: 0.020000
Training Epoch: 10 [45824/48750]	Loss: 0.3746	LR: 0.020000
Training Epoch: 10 [46080/48750]	Loss: 0.4183	LR: 0.020000
Training Epoch: 10 [46336/48750]	Loss: 0.4997	LR: 0.020000
Training Epoch: 10 [46592/48750]	Loss: 0.3636	LR: 0.020000
Training Epoch: 10 [46848/48750]	Loss: 0.2538	LR: 0.020000
Training Epoch: 10 [47104/48750]	Loss: 0.4020	LR: 0.020000
Training Epoch: 10 [47360/48750]	Loss: 0.3461	LR: 0.020000
Training Epoch: 10 [47616/48750]	Loss: 0.3442	LR: 0.020000
Training Epoch: 10 [47872/48750]	Loss: 0.3671	LR: 0.020000
Training Epoch: 10 [48128/48750]	Loss: 0.3500	LR: 0.020000
Training Epoch: 10 [48384/48750]	Loss: 0.3181	LR: 0.020000
Training Epoch: 10 [48640/48750]	Loss: 0.3283	LR: 0.020000
Training Epoch: 10 [48750/48750]	Loss: 0.4700	LR: 0.020000
Epoch 10 - Average Train Loss: 0.3780, Train Accuracy: 0.8678
Epoch 10 training time consumed: 29.88s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0015, Accuracy: 0.8682, Time consumed:1.05s
Training Epoch: 11 [256/48750]	Loss: 0.3228	LR: 0.020000
Training Epoch: 11 [512/48750]	Loss: 0.3462	LR: 0.020000
Training Epoch: 11 [768/48750]	Loss: 0.3391	LR: 0.020000
Training Epoch: 11 [1024/48750]	Loss: 0.2736	LR: 0.020000
Training Epoch: 11 [1280/48750]	Loss: 0.4123	LR: 0.020000
Training Epoch: 11 [1536/48750]	Loss: 0.3465	LR: 0.020000
Training Epoch: 11 [1792/48750]	Loss: 0.3613	LR: 0.020000
Training Epoch: 11 [2048/48750]	Loss: 0.4431	LR: 0.020000
Training Epoch: 11 [2304/48750]	Loss: 0.4010	LR: 0.020000
Training Epoch: 11 [2560/48750]	Loss: 0.3763	LR: 0.020000
Training Epoch: 11 [2816/48750]	Loss: 0.3901	LR: 0.020000
Training Epoch: 11 [3072/48750]	Loss: 0.4054	LR: 0.020000
Training Epoch: 11 [3328/48750]	Loss: 0.3764	LR: 0.020000
Training Epoch: 11 [3584/48750]	Loss: 0.3459	LR: 0.020000
Training Epoch: 11 [3840/48750]	Loss: 0.3199	LR: 0.020000
Training Epoch: 11 [4096/48750]	Loss: 0.2509	LR: 0.020000
Training Epoch: 11 [4352/48750]	Loss: 0.3207	LR: 0.020000
Training Epoch: 11 [4608/48750]	Loss: 0.4408	LR: 0.020000
Training Epoch: 11 [4864/48750]	Loss: 0.3853	LR: 0.020000
Training Epoch: 11 [5120/48750]	Loss: 0.3514	LR: 0.020000
Training Epoch: 11 [5376/48750]	Loss: 0.3423	LR: 0.020000
Training Epoch: 11 [5632/48750]	Loss: 0.3470	LR: 0.020000
Training Epoch: 11 [5888/48750]	Loss: 0.3625	LR: 0.020000
Training Epoch: 11 [6144/48750]	Loss: 0.4465	LR: 0.020000
Training Epoch: 11 [6400/48750]	Loss: 0.3944	LR: 0.020000
Training Epoch: 11 [6656/48750]	Loss: 0.3197	LR: 0.020000
Training Epoch: 11 [6912/48750]	Loss: 0.3180	LR: 0.020000
Training Epoch: 11 [7168/48750]	Loss: 0.3546	LR: 0.020000
Training Epoch: 11 [7424/48750]	Loss: 0.4312	LR: 0.020000
Training Epoch: 11 [7680/48750]	Loss: 0.2989	LR: 0.020000
Training Epoch: 11 [7936/48750]	Loss: 0.3971	LR: 0.020000
Training Epoch: 11 [8192/48750]	Loss: 0.3697	LR: 0.020000
Training Epoch: 11 [8448/48750]	Loss: 0.3370	LR: 0.020000
Training Epoch: 11 [8704/48750]	Loss: 0.3611	LR: 0.020000
Training Epoch: 11 [8960/48750]	Loss: 0.3350	LR: 0.020000
Training Epoch: 11 [9216/48750]	Loss: 0.3507	LR: 0.020000
Training Epoch: 11 [9472/48750]	Loss: 0.3253	LR: 0.020000
Training Epoch: 11 [9728/48750]	Loss: 0.4486	LR: 0.020000
Training Epoch: 11 [9984/48750]	Loss: 0.3926	LR: 0.020000
Training Epoch: 11 [10240/48750]	Loss: 0.3415	LR: 0.020000
Training Epoch: 11 [10496/48750]	Loss: 0.3429	LR: 0.020000
Training Epoch: 11 [10752/48750]	Loss: 0.3666	LR: 0.020000
Training Epoch: 11 [11008/48750]	Loss: 0.3708	LR: 0.020000
Training Epoch: 11 [11264/48750]	Loss: 0.3755	LR: 0.020000
Training Epoch: 11 [11520/48750]	Loss: 0.3398	LR: 0.020000
Training Epoch: 11 [11776/48750]	Loss: 0.2871	LR: 0.020000
Training Epoch: 11 [12032/48750]	Loss: 0.3096	LR: 0.020000
Training Epoch: 11 [12288/48750]	Loss: 0.2999	LR: 0.020000
Training Epoch: 11 [12544/48750]	Loss: 0.2824	LR: 0.020000
Training Epoch: 11 [12800/48750]	Loss: 0.3594	LR: 0.020000
Training Epoch: 11 [13056/48750]	Loss: 0.4538	LR: 0.020000
Training Epoch: 11 [13312/48750]	Loss: 0.2937	LR: 0.020000
Training Epoch: 11 [13568/48750]	Loss: 0.4338	LR: 0.020000
Training Epoch: 11 [13824/48750]	Loss: 0.4356	LR: 0.020000
Training Epoch: 11 [14080/48750]	Loss: 0.3127	LR: 0.020000
Training Epoch: 11 [14336/48750]	Loss: 0.3138	LR: 0.020000
Training Epoch: 11 [14592/48750]	Loss: 0.3502	LR: 0.020000
Training Epoch: 11 [14848/48750]	Loss: 0.3710	LR: 0.020000
Training Epoch: 11 [15104/48750]	Loss: 0.3405	LR: 0.020000
Training Epoch: 11 [15360/48750]	Loss: 0.3977	LR: 0.020000
Training Epoch: 11 [15616/48750]	Loss: 0.3873	LR: 0.020000
Training Epoch: 11 [15872/48750]	Loss: 0.3782	LR: 0.020000
Training Epoch: 11 [16128/48750]	Loss: 0.4007	LR: 0.020000
Training Epoch: 11 [16384/48750]	Loss: 0.2743	LR: 0.020000
Training Epoch: 11 [16640/48750]	Loss: 0.3273	LR: 0.020000
Training Epoch: 11 [16896/48750]	Loss: 0.3113	LR: 0.020000
Training Epoch: 11 [17152/48750]	Loss: 0.3001	LR: 0.020000
Training Epoch: 11 [17408/48750]	Loss: 0.3793	LR: 0.020000
Training Epoch: 11 [17664/48750]	Loss: 0.2965	LR: 0.020000
Training Epoch: 11 [17920/48750]	Loss: 0.5591	LR: 0.020000
Training Epoch: 11 [18176/48750]	Loss: 0.2139	LR: 0.020000
Training Epoch: 11 [18432/48750]	Loss: 0.4147	LR: 0.020000
Training Epoch: 11 [18688/48750]	Loss: 0.2719	LR: 0.020000
Training Epoch: 11 [18944/48750]	Loss: 0.3947	LR: 0.020000
Training Epoch: 11 [19200/48750]	Loss: 0.3485	LR: 0.020000
Training Epoch: 11 [19456/48750]	Loss: 0.4157	LR: 0.020000
Training Epoch: 11 [19712/48750]	Loss: 0.4102	LR: 0.020000
Training Epoch: 11 [19968/48750]	Loss: 0.4483	LR: 0.020000
Training Epoch: 11 [20224/48750]	Loss: 0.4738	LR: 0.020000
Training Epoch: 11 [20480/48750]	Loss: 0.3580	LR: 0.020000
Training Epoch: 11 [20736/48750]	Loss: 0.3582	LR: 0.020000
Training Epoch: 11 [20992/48750]	Loss: 0.3652	LR: 0.020000
Training Epoch: 11 [21248/48750]	Loss: 0.3515	LR: 0.020000
Training Epoch: 11 [21504/48750]	Loss: 0.4503	LR: 0.020000
Training Epoch: 11 [21760/48750]	Loss: 0.3251	LR: 0.020000
Training Epoch: 11 [22016/48750]	Loss: 0.3794	LR: 0.020000
Training Epoch: 11 [22272/48750]	Loss: 0.3925	LR: 0.020000
Training Epoch: 11 [22528/48750]	Loss: 0.3954	LR: 0.020000
Training Epoch: 11 [22784/48750]	Loss: 0.3576	LR: 0.020000
Training Epoch: 11 [23040/48750]	Loss: 0.3592	LR: 0.020000
Training Epoch: 11 [23296/48750]	Loss: 0.2544	LR: 0.020000
Training Epoch: 11 [23552/48750]	Loss: 0.3601	LR: 0.020000
Training Epoch: 11 [23808/48750]	Loss: 0.3810	LR: 0.020000
Training Epoch: 11 [24064/48750]	Loss: 0.4410	LR: 0.020000
Training Epoch: 11 [24320/48750]	Loss: 0.2957	LR: 0.020000
Training Epoch: 11 [24576/48750]	Loss: 0.3662	LR: 0.020000
Training Epoch: 11 [24832/48750]	Loss: 0.3280	LR: 0.020000
Training Epoch: 11 [25088/48750]	Loss: 0.4005	LR: 0.020000
Training Epoch: 11 [25344/48750]	Loss: 0.4255	LR: 0.020000
Training Epoch: 11 [25600/48750]	Loss: 0.3862	LR: 0.020000
Training Epoch: 11 [25856/48750]	Loss: 0.3043	LR: 0.020000
Training Epoch: 11 [26112/48750]	Loss: 0.4037	LR: 0.020000
Training Epoch: 11 [26368/48750]	Loss: 0.3150	LR: 0.020000
Training Epoch: 11 [26624/48750]	Loss: 0.3087	LR: 0.020000
Training Epoch: 11 [26880/48750]	Loss: 0.3093	LR: 0.020000
Training Epoch: 11 [27136/48750]	Loss: 0.4134	LR: 0.020000
Training Epoch: 11 [27392/48750]	Loss: 0.3890	LR: 0.020000
Training Epoch: 11 [27648/48750]	Loss: 0.2912	LR: 0.020000
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Training Epoch: 11 [30208/48750]	Loss: 0.2698	LR: 0.020000
Training Epoch: 11 [30464/48750]	Loss: 0.3369	LR: 0.020000
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Training Epoch: 11 [30976/48750]	Loss: 0.2868	LR: 0.020000
Training Epoch: 11 [31232/48750]	Loss: 0.3651	LR: 0.020000
Training Epoch: 11 [31488/48750]	Loss: 0.4082	LR: 0.020000
Training Epoch: 11 [31744/48750]	Loss: 0.2966	LR: 0.020000
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Training Epoch: 11 [32256/48750]	Loss: 0.3143	LR: 0.020000
Training Epoch: 11 [32512/48750]	Loss: 0.3835	LR: 0.020000
Training Epoch: 11 [32768/48750]	Loss: 0.4221	LR: 0.020000
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Training Epoch: 11 [43776/48750]	Loss: 0.3217	LR: 0.020000
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Training Epoch: 11 [44288/48750]	Loss: 0.3202	LR: 0.020000
Training Epoch: 11 [44544/48750]	Loss: 0.3476	LR: 0.020000
Training Epoch: 11 [44800/48750]	Loss: 0.3107	LR: 0.020000
Training Epoch: 11 [45056/48750]	Loss: 0.4415	LR: 0.020000
Training Epoch: 11 [45312/48750]	Loss: 0.3766	LR: 0.020000
Training Epoch: 11 [45568/48750]	Loss: 0.3771	LR: 0.020000
Training Epoch: 11 [45824/48750]	Loss: 0.2943	LR: 0.020000
Training Epoch: 11 [46080/48750]	Loss: 0.2945	LR: 0.020000
Training Epoch: 11 [46336/48750]	Loss: 0.3293	LR: 0.020000
Training Epoch: 11 [46592/48750]	Loss: 0.3376	LR: 0.020000
Training Epoch: 11 [46848/48750]	Loss: 0.3568	LR: 0.020000
Training Epoch: 11 [47104/48750]	Loss: 0.3750	LR: 0.020000
Training Epoch: 11 [47360/48750]	Loss: 0.4142	LR: 0.020000
Training Epoch: 11 [47616/48750]	Loss: 0.3750	LR: 0.020000
Training Epoch: 11 [47872/48750]	Loss: 0.3669	LR: 0.020000
Training Epoch: 11 [48128/48750]	Loss: 0.3901	LR: 0.020000
Training Epoch: 11 [48384/48750]	Loss: 0.3758	LR: 0.020000
Training Epoch: 11 [48640/48750]	Loss: 0.3498	LR: 0.020000
Training Epoch: 11 [48750/48750]	Loss: 0.3503	LR: 0.020000
Epoch 11 - Average Train Loss: 0.3596, Train Accuracy: 0.8743
Epoch 11 training time consumed: 29.96s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0015, Accuracy: 0.8730, Time consumed:0.99s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_22h_14m_01s/ResNet18-Cifar10-seed7-ret75-11-best.pth
Training Epoch: 12 [256/48750]	Loss: 0.4167	LR: 0.004000
Training Epoch: 12 [512/48750]	Loss: 0.2988	LR: 0.004000
Training Epoch: 12 [768/48750]	Loss: 0.3721	LR: 0.004000
Training Epoch: 12 [1024/48750]	Loss: 0.2758	LR: 0.004000
Training Epoch: 12 [1280/48750]	Loss: 0.3491	LR: 0.004000
Training Epoch: 12 [1536/48750]	Loss: 0.3559	LR: 0.004000
Training Epoch: 12 [1792/48750]	Loss: 0.3457	LR: 0.004000
Training Epoch: 12 [2048/48750]	Loss: 0.3783	LR: 0.004000
Training Epoch: 12 [2304/48750]	Loss: 0.3300	LR: 0.004000
Training Epoch: 12 [2560/48750]	Loss: 0.3603	LR: 0.004000
Training Epoch: 12 [2816/48750]	Loss: 0.4281	LR: 0.004000
Training Epoch: 12 [3072/48750]	Loss: 0.3012	LR: 0.004000
Training Epoch: 12 [3328/48750]	Loss: 0.2778	LR: 0.004000
Training Epoch: 12 [3584/48750]	Loss: 0.3889	LR: 0.004000
Training Epoch: 12 [3840/48750]	Loss: 0.2854	LR: 0.004000
Training Epoch: 12 [4096/48750]	Loss: 0.3082	LR: 0.004000
Training Epoch: 12 [4352/48750]	Loss: 0.2749	LR: 0.004000
Training Epoch: 12 [4608/48750]	Loss: 0.3417	LR: 0.004000
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Training Epoch: 12 [11264/48750]	Loss: 0.3369	LR: 0.004000
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Training Epoch: 12 [16128/48750]	Loss: 0.3308	LR: 0.004000
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Training Epoch: 12 [16640/48750]	Loss: 0.3058	LR: 0.004000
Training Epoch: 12 [16896/48750]	Loss: 0.2516	LR: 0.004000
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Training Epoch: 12 [28160/48750]	Loss: 0.3210	LR: 0.004000
Training Epoch: 12 [28416/48750]	Loss: 0.2874	LR: 0.004000
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Training Epoch: 12 [28928/48750]	Loss: 0.3291	LR: 0.004000
Training Epoch: 12 [29184/48750]	Loss: 0.3597	LR: 0.004000
Training Epoch: 12 [29440/48750]	Loss: 0.2996	LR: 0.004000
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Training Epoch: 12 [32512/48750]	Loss: 0.3352	LR: 0.004000
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Training Epoch: 12 [40192/48750]	Loss: 0.3090	LR: 0.004000
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Training Epoch: 12 [44800/48750]	Loss: 0.3963	LR: 0.004000
Training Epoch: 12 [45056/48750]	Loss: 0.3095	LR: 0.004000
Training Epoch: 12 [45312/48750]	Loss: 0.3132	LR: 0.004000
Training Epoch: 12 [45568/48750]	Loss: 0.3521	LR: 0.004000
Training Epoch: 12 [45824/48750]	Loss: 0.2451	LR: 0.004000
Training Epoch: 12 [46080/48750]	Loss: 0.2503	LR: 0.004000
Training Epoch: 12 [46336/48750]	Loss: 0.3608	LR: 0.004000
Training Epoch: 12 [46592/48750]	Loss: 0.2932	LR: 0.004000
Training Epoch: 12 [46848/48750]	Loss: 0.3091	LR: 0.004000
Training Epoch: 12 [47104/48750]	Loss: 0.3906	LR: 0.004000
Training Epoch: 12 [47360/48750]	Loss: 0.3397	LR: 0.004000
Training Epoch: 12 [47616/48750]	Loss: 0.2530	LR: 0.004000
Training Epoch: 12 [47872/48750]	Loss: 0.3191	LR: 0.004000
Training Epoch: 12 [48128/48750]	Loss: 0.3493	LR: 0.004000
Training Epoch: 12 [48384/48750]	Loss: 0.2601	LR: 0.004000
Training Epoch: 12 [48640/48750]	Loss: 0.3040	LR: 0.004000
Training Epoch: 12 [48750/48750]	Loss: 0.3052	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3097, Train Accuracy: 0.8923
Epoch 12 training time consumed: 29.82s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0013, Accuracy: 0.8891, Time consumed:1.02s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_22h_14m_01s/ResNet18-Cifar10-seed7-ret75-12-best.pth
Training Epoch: 13 [256/48750]	Loss: 0.3377	LR: 0.004000
Training Epoch: 13 [512/48750]	Loss: 0.2568	LR: 0.004000
Training Epoch: 13 [768/48750]	Loss: 0.2712	LR: 0.004000
Training Epoch: 13 [1024/48750]	Loss: 0.3275	LR: 0.004000
Training Epoch: 13 [1280/48750]	Loss: 0.2850	LR: 0.004000
Training Epoch: 13 [1536/48750]	Loss: 0.3121	LR: 0.004000
Training Epoch: 13 [1792/48750]	Loss: 0.2593	LR: 0.004000
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Training Epoch: 13 [48128/48750]	Loss: 0.2871	LR: 0.004000
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Training Epoch: 13 [48640/48750]	Loss: 0.2297	LR: 0.004000
Training Epoch: 13 [48750/48750]	Loss: 0.4646	LR: 0.004000
Epoch 13 - Average Train Loss: 0.2976, Train Accuracy: 0.8966
Epoch 13 training time consumed: 29.92s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0013, Accuracy: 0.8909, Time consumed:1.01s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_22h_14m_01s/ResNet18-Cifar10-seed7-ret75-13-best.pth
Training Epoch: 14 [256/48750]	Loss: 0.2860	LR: 0.004000
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Training Epoch: 14 [25856/48750]	Loss: 0.2969	LR: 0.004000
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Training Epoch: 14 [26368/48750]	Loss: 0.2763	LR: 0.004000
Training Epoch: 14 [26624/48750]	Loss: 0.2809	LR: 0.004000
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Training Epoch: 14 [30464/48750]	Loss: 0.2782	LR: 0.004000
Training Epoch: 14 [30720/48750]	Loss: 0.2343	LR: 0.004000
Training Epoch: 14 [30976/48750]	Loss: 0.3276	LR: 0.004000
Training Epoch: 14 [31232/48750]	Loss: 0.2561	LR: 0.004000
Training Epoch: 14 [31488/48750]	Loss: 0.3058	LR: 0.004000
Training Epoch: 14 [31744/48750]	Loss: 0.2724	LR: 0.004000
Training Epoch: 14 [32000/48750]	Loss: 0.2297	LR: 0.004000
Training Epoch: 14 [32256/48750]	Loss: 0.3334	LR: 0.004000
Training Epoch: 14 [32512/48750]	Loss: 0.2433	LR: 0.004000
Training Epoch: 14 [32768/48750]	Loss: 0.3400	LR: 0.004000
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Training Epoch: 14 [35328/48750]	Loss: 0.2995	LR: 0.004000
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Training Epoch: 14 [43520/48750]	Loss: 0.3558	LR: 0.004000
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Training Epoch: 14 [44032/48750]	Loss: 0.3141	LR: 0.004000
Training Epoch: 14 [44288/48750]	Loss: 0.2559	LR: 0.004000
Training Epoch: 14 [44544/48750]	Loss: 0.2923	LR: 0.004000
Training Epoch: 14 [44800/48750]	Loss: 0.2797	LR: 0.004000
Training Epoch: 14 [45056/48750]	Loss: 0.3092	LR: 0.004000
Training Epoch: 14 [45312/48750]	Loss: 0.3291	LR: 0.004000
Training Epoch: 14 [45568/48750]	Loss: 0.2367	LR: 0.004000
Training Epoch: 14 [45824/48750]	Loss: 0.2582	LR: 0.004000
Training Epoch: 14 [46080/48750]	Loss: 0.2425	LR: 0.004000
Training Epoch: 14 [46336/48750]	Loss: 0.3111	LR: 0.004000
Training Epoch: 14 [46592/48750]	Loss: 0.3582	LR: 0.004000
Training Epoch: 14 [46848/48750]	Loss: 0.2844	LR: 0.004000
Training Epoch: 14 [47104/48750]	Loss: 0.3999	LR: 0.004000
Training Epoch: 14 [47360/48750]	Loss: 0.3809	LR: 0.004000
Training Epoch: 14 [47616/48750]	Loss: 0.2854	LR: 0.004000
Training Epoch: 14 [47872/48750]	Loss: 0.3093	LR: 0.004000
Training Epoch: 14 [48128/48750]	Loss: 0.3219	LR: 0.004000
Training Epoch: 14 [48384/48750]	Loss: 0.2772	LR: 0.004000
Training Epoch: 14 [48640/48750]	Loss: 0.2983	LR: 0.004000
Training Epoch: 14 [48750/48750]	Loss: 0.2758	LR: 0.004000
Epoch 14 - Average Train Loss: 0.2890, Train Accuracy: 0.8988
Epoch 14 training time consumed: 30.00s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0013, Accuracy: 0.8895, Time consumed:1.01s
Training Epoch: 15 [256/48750]	Loss: 0.2746	LR: 0.004000
Training Epoch: 15 [512/48750]	Loss: 0.2690	LR: 0.004000
Training Epoch: 15 [768/48750]	Loss: 0.2782	LR: 0.004000
Training Epoch: 15 [1024/48750]	Loss: 0.2940	LR: 0.004000
Training Epoch: 15 [1280/48750]	Loss: 0.3270	LR: 0.004000
Training Epoch: 15 [1536/48750]	Loss: 0.2959	LR: 0.004000
Training Epoch: 15 [1792/48750]	Loss: 0.3319	LR: 0.004000
Training Epoch: 15 [2048/48750]	Loss: 0.2691	LR: 0.004000
Training Epoch: 15 [2304/48750]	Loss: 0.3184	LR: 0.004000
Training Epoch: 15 [2560/48750]	Loss: 0.2707	LR: 0.004000
Training Epoch: 15 [2816/48750]	Loss: 0.2535	LR: 0.004000
Training Epoch: 15 [3072/48750]	Loss: 0.3104	LR: 0.004000
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Training Epoch: 15 [3584/48750]	Loss: 0.2447	LR: 0.004000
Training Epoch: 15 [3840/48750]	Loss: 0.2945	LR: 0.004000
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Training Epoch: 15 [4352/48750]	Loss: 0.2407	LR: 0.004000
Training Epoch: 15 [4608/48750]	Loss: 0.2633	LR: 0.004000
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Training Epoch: 15 [5120/48750]	Loss: 0.2516	LR: 0.004000
Training Epoch: 15 [5376/48750]	Loss: 0.3087	LR: 0.004000
Training Epoch: 15 [5632/48750]	Loss: 0.2518	LR: 0.004000
Training Epoch: 15 [5888/48750]	Loss: 0.3375	LR: 0.004000
Training Epoch: 15 [6144/48750]	Loss: 0.3012	LR: 0.004000
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Training Epoch: 15 [8448/48750]	Loss: 0.2027	LR: 0.004000
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Training Epoch: 15 [12288/48750]	Loss: 0.2716	LR: 0.004000
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Training Epoch: 15 [16128/48750]	Loss: 0.2825	LR: 0.004000
Training Epoch: 15 [16384/48750]	Loss: 0.2480	LR: 0.004000
Training Epoch: 15 [16640/48750]	Loss: 0.3666	LR: 0.004000
Training Epoch: 15 [16896/48750]	Loss: 0.2751	LR: 0.004000
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Training Epoch: 15 [26368/48750]	Loss: 0.2693	LR: 0.004000
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Training Epoch: 15 [27136/48750]	Loss: 0.2572	LR: 0.004000
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Training Epoch: 15 [28160/48750]	Loss: 0.2596	LR: 0.004000
Training Epoch: 15 [28416/48750]	Loss: 0.3156	LR: 0.004000
Training Epoch: 15 [28672/48750]	Loss: 0.3184	LR: 0.004000
Training Epoch: 15 [28928/48750]	Loss: 0.2939	LR: 0.004000
Training Epoch: 15 [29184/48750]	Loss: 0.3218	LR: 0.004000
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Training Epoch: 15 [45056/48750]	Loss: 0.3156	LR: 0.004000
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Training Epoch: 15 [46336/48750]	Loss: 0.2960	LR: 0.004000
Training Epoch: 15 [46592/48750]	Loss: 0.2929	LR: 0.004000
Training Epoch: 15 [46848/48750]	Loss: 0.3165	LR: 0.004000
Training Epoch: 15 [47104/48750]	Loss: 0.1864	LR: 0.004000
Training Epoch: 15 [47360/48750]	Loss: 0.1919	LR: 0.004000
Training Epoch: 15 [47616/48750]	Loss: 0.2584	LR: 0.004000
Training Epoch: 15 [47872/48750]	Loss: 0.3335	LR: 0.004000
Training Epoch: 15 [48128/48750]	Loss: 0.3554	LR: 0.004000
Training Epoch: 15 [48384/48750]	Loss: 0.2516	LR: 0.004000
Training Epoch: 15 [48640/48750]	Loss: 0.3347	LR: 0.004000
Training Epoch: 15 [48750/48750]	Loss: 0.3947	LR: 0.004000
Epoch 15 - Average Train Loss: 0.2868, Train Accuracy: 0.8993
Epoch 15 training time consumed: 29.92s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0013, Accuracy: 0.8913, Time consumed:1.07s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_22h_14m_01s/ResNet18-Cifar10-seed7-ret75-15-best.pth
Training Epoch: 16 [256/48750]	Loss: 0.3141	LR: 0.000800
Training Epoch: 16 [512/48750]	Loss: 0.2671	LR: 0.000800
Training Epoch: 16 [768/48750]	Loss: 0.1988	LR: 0.000800
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Training Epoch: 16 [46080/48750]	Loss: 0.2384	LR: 0.000800
Training Epoch: 16 [46336/48750]	Loss: 0.3205	LR: 0.000800
Training Epoch: 16 [46592/48750]	Loss: 0.2593	LR: 0.000800
Training Epoch: 16 [46848/48750]	Loss: 0.2938	LR: 0.000800
Training Epoch: 16 [47104/48750]	Loss: 0.2736	LR: 0.000800
Training Epoch: 16 [47360/48750]	Loss: 0.2746	LR: 0.000800
Training Epoch: 16 [47616/48750]	Loss: 0.2705	LR: 0.000800
Training Epoch: 16 [47872/48750]	Loss: 0.2314	LR: 0.000800
Training Epoch: 16 [48128/48750]	Loss: 0.2085	LR: 0.000800
Training Epoch: 16 [48384/48750]	Loss: 0.2173	LR: 0.000800
Training Epoch: 16 [48640/48750]	Loss: 0.2644	LR: 0.000800
Training Epoch: 16 [48750/48750]	Loss: 0.2233	LR: 0.000800
Epoch 16 - Average Train Loss: 0.2730, Train Accuracy: 0.9054
Epoch 16 training time consumed: 29.82s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0013, Accuracy: 0.8933, Time consumed:0.99s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_22h_14m_01s/ResNet18-Cifar10-seed7-ret75-16-best.pth
Training Epoch: 17 [256/48750]	Loss: 0.2639	LR: 0.000800
Training Epoch: 17 [512/48750]	Loss: 0.2626	LR: 0.000800
Training Epoch: 17 [768/48750]	Loss: 0.2724	LR: 0.000800
Training Epoch: 17 [1024/48750]	Loss: 0.3506	LR: 0.000800
Training Epoch: 17 [1280/48750]	Loss: 0.2627	LR: 0.000800
Training Epoch: 17 [1536/48750]	Loss: 0.2111	LR: 0.000800
Training Epoch: 17 [1792/48750]	Loss: 0.3052	LR: 0.000800
Training Epoch: 17 [2048/48750]	Loss: 0.2371	LR: 0.000800
Training Epoch: 17 [2304/48750]	Loss: 0.3076	LR: 0.000800
Training Epoch: 17 [2560/48750]	Loss: 0.2586	LR: 0.000800
Training Epoch: 17 [2816/48750]	Loss: 0.2585	LR: 0.000800
Training Epoch: 17 [3072/48750]	Loss: 0.2049	LR: 0.000800
Training Epoch: 17 [3328/48750]	Loss: 0.2410	LR: 0.000800
Training Epoch: 17 [3584/48750]	Loss: 0.2510	LR: 0.000800
Training Epoch: 17 [3840/48750]	Loss: 0.3181	LR: 0.000800
Training Epoch: 17 [4096/48750]	Loss: 0.2991	LR: 0.000800
Training Epoch: 17 [4352/48750]	Loss: 0.2868	LR: 0.000800
Training Epoch: 17 [4608/48750]	Loss: 0.2740	LR: 0.000800
Training Epoch: 17 [4864/48750]	Loss: 0.2408	LR: 0.000800
Training Epoch: 17 [5120/48750]	Loss: 0.2627	LR: 0.000800
Training Epoch: 17 [5376/48750]	Loss: 0.3395	LR: 0.000800
Training Epoch: 17 [5632/48750]	Loss: 0.2253	LR: 0.000800
Training Epoch: 17 [5888/48750]	Loss: 0.2572	LR: 0.000800
Training Epoch: 17 [6144/48750]	Loss: 0.2678	LR: 0.000800
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Training Epoch: 17 [9984/48750]	Loss: 0.2626	LR: 0.000800
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Training Epoch: 17 [10496/48750]	Loss: 0.2442	LR: 0.000800
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Training Epoch: 17 [11008/48750]	Loss: 0.2804	LR: 0.000800
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Training Epoch: 17 [12288/48750]	Loss: 0.3068	LR: 0.000800
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Training Epoch: 17 [12800/48750]	Loss: 0.2998	LR: 0.000800
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Training Epoch: 17 [24576/48750]	Loss: 0.3057	LR: 0.000800
Training Epoch: 17 [24832/48750]	Loss: 0.2679	LR: 0.000800
Training Epoch: 17 [25088/48750]	Loss: 0.3367	LR: 0.000800
Training Epoch: 17 [25344/48750]	Loss: 0.2433	LR: 0.000800
Training Epoch: 17 [25600/48750]	Loss: 0.2594	LR: 0.000800
Training Epoch: 17 [25856/48750]	Loss: 0.2343	LR: 0.000800
Training Epoch: 17 [26112/48750]	Loss: 0.2698	LR: 0.000800
Training Epoch: 17 [26368/48750]	Loss: 0.3860	LR: 0.000800
Training Epoch: 17 [26624/48750]	Loss: 0.2697	LR: 0.000800
Training Epoch: 17 [26880/48750]	Loss: 0.2853	LR: 0.000800
Training Epoch: 17 [27136/48750]	Loss: 0.2504	LR: 0.000800
Training Epoch: 17 [27392/48750]	Loss: 0.2565	LR: 0.000800
Training Epoch: 17 [27648/48750]	Loss: 0.2718	LR: 0.000800
Training Epoch: 17 [27904/48750]	Loss: 0.3326	LR: 0.000800
Training Epoch: 17 [28160/48750]	Loss: 0.3262	LR: 0.000800
Training Epoch: 17 [28416/48750]	Loss: 0.3621	LR: 0.000800
Training Epoch: 17 [28672/48750]	Loss: 0.2435	LR: 0.000800
Training Epoch: 17 [28928/48750]	Loss: 0.3731	LR: 0.000800
Training Epoch: 17 [29184/48750]	Loss: 0.2091	LR: 0.000800
Training Epoch: 17 [29440/48750]	Loss: 0.2312	LR: 0.000800
Training Epoch: 17 [29696/48750]	Loss: 0.2217	LR: 0.000800
Training Epoch: 17 [29952/48750]	Loss: 0.2579	LR: 0.000800
Training Epoch: 17 [30208/48750]	Loss: 0.2770	LR: 0.000800
Training Epoch: 17 [30464/48750]	Loss: 0.2879	LR: 0.000800
Training Epoch: 17 [30720/48750]	Loss: 0.2444	LR: 0.000800
Training Epoch: 17 [30976/48750]	Loss: 0.2733	LR: 0.000800
Training Epoch: 17 [31232/48750]	Loss: 0.2805	LR: 0.000800
Training Epoch: 17 [31488/48750]	Loss: 0.2576	LR: 0.000800
Training Epoch: 17 [31744/48750]	Loss: 0.2322	LR: 0.000800
Training Epoch: 17 [32000/48750]	Loss: 0.2687	LR: 0.000800
Training Epoch: 17 [32256/48750]	Loss: 0.2847	LR: 0.000800
Training Epoch: 17 [32512/48750]	Loss: 0.2845	LR: 0.000800
Training Epoch: 17 [32768/48750]	Loss: 0.2816	LR: 0.000800
Training Epoch: 17 [33024/48750]	Loss: 0.3055	LR: 0.000800
Training Epoch: 17 [33280/48750]	Loss: 0.3060	LR: 0.000800
Training Epoch: 17 [33536/48750]	Loss: 0.2820	LR: 0.000800
Training Epoch: 17 [33792/48750]	Loss: 0.2940	LR: 0.000800
Training Epoch: 17 [34048/48750]	Loss: 0.2093	LR: 0.000800
Training Epoch: 17 [34304/48750]	Loss: 0.2547	LR: 0.000800
Training Epoch: 17 [34560/48750]	Loss: 0.2367	LR: 0.000800
Training Epoch: 17 [34816/48750]	Loss: 0.2315	LR: 0.000800
Training Epoch: 17 [35072/48750]	Loss: 0.3704	LR: 0.000800
Training Epoch: 17 [35328/48750]	Loss: 0.2632	LR: 0.000800
Training Epoch: 17 [35584/48750]	Loss: 0.2290	LR: 0.000800
Training Epoch: 17 [35840/48750]	Loss: 0.3734	LR: 0.000800
Training Epoch: 17 [36096/48750]	Loss: 0.3209	LR: 0.000800
Training Epoch: 17 [36352/48750]	Loss: 0.2755	LR: 0.000800
Training Epoch: 17 [36608/48750]	Loss: 0.2033	LR: 0.000800
Training Epoch: 17 [36864/48750]	Loss: 0.2679	LR: 0.000800
Training Epoch: 17 [37120/48750]	Loss: 0.3721	LR: 0.000800
Training Epoch: 17 [37376/48750]	Loss: 0.3088	LR: 0.000800
Training Epoch: 17 [37632/48750]	Loss: 0.2199	LR: 0.000800
Training Epoch: 17 [37888/48750]	Loss: 0.2697	LR: 0.000800
Training Epoch: 17 [38144/48750]	Loss: 0.2837	LR: 0.000800
Training Epoch: 17 [38400/48750]	Loss: 0.2144	LR: 0.000800
Training Epoch: 17 [38656/48750]	Loss: 0.3048	LR: 0.000800
Training Epoch: 17 [38912/48750]	Loss: 0.2208	LR: 0.000800
Training Epoch: 17 [39168/48750]	Loss: 0.3093	LR: 0.000800
Training Epoch: 17 [39424/48750]	Loss: 0.2229	LR: 0.000800
Training Epoch: 17 [39680/48750]	Loss: 0.3110	LR: 0.000800
Training Epoch: 17 [39936/48750]	Loss: 0.1640	LR: 0.000800
Training Epoch: 17 [40192/48750]	Loss: 0.2754	LR: 0.000800
Training Epoch: 17 [40448/48750]	Loss: 0.3081	LR: 0.000800
Training Epoch: 17 [40704/48750]	Loss: 0.2800	LR: 0.000800
Training Epoch: 17 [40960/48750]	Loss: 0.3685	LR: 0.000800
Training Epoch: 17 [41216/48750]	Loss: 0.2481	LR: 0.000800
Training Epoch: 17 [41472/48750]	Loss: 0.2142	LR: 0.000800
Training Epoch: 17 [41728/48750]	Loss: 0.2330	LR: 0.000800
Training Epoch: 17 [41984/48750]	Loss: 0.2229	LR: 0.000800
Training Epoch: 17 [42240/48750]	Loss: 0.3199	LR: 0.000800
Training Epoch: 17 [42496/48750]	Loss: 0.2266	LR: 0.000800
Training Epoch: 17 [42752/48750]	Loss: 0.2218	LR: 0.000800
Training Epoch: 17 [43008/48750]	Loss: 0.2019	LR: 0.000800
Training Epoch: 17 [43264/48750]	Loss: 0.2780	LR: 0.000800
Training Epoch: 17 [43520/48750]	Loss: 0.2613	LR: 0.000800
Training Epoch: 17 [43776/48750]	Loss: 0.2025	LR: 0.000800
Training Epoch: 17 [44032/48750]	Loss: 0.2878	LR: 0.000800
Training Epoch: 17 [44288/48750]	Loss: 0.1818	LR: 0.000800
Training Epoch: 17 [44544/48750]	Loss: 0.2289	LR: 0.000800
Training Epoch: 17 [44800/48750]	Loss: 0.2599	LR: 0.000800
Training Epoch: 17 [45056/48750]	Loss: 0.2238	LR: 0.000800
Training Epoch: 17 [45312/48750]	Loss: 0.3786	LR: 0.000800
Training Epoch: 17 [45568/48750]	Loss: 0.2882	LR: 0.000800
Training Epoch: 17 [45824/48750]	Loss: 0.2587	LR: 0.000800
Training Epoch: 17 [46080/48750]	Loss: 0.2131	LR: 0.000800
Training Epoch: 17 [46336/48750]	Loss: 0.2443	LR: 0.000800
Training Epoch: 17 [46592/48750]	Loss: 0.2533	LR: 0.000800
Training Epoch: 17 [46848/48750]	Loss: 0.2047	LR: 0.000800
Training Epoch: 17 [47104/48750]	Loss: 0.2875	LR: 0.000800
Training Epoch: 17 [47360/48750]	Loss: 0.3531	LR: 0.000800
Training Epoch: 17 [47616/48750]	Loss: 0.3216	LR: 0.000800
Training Epoch: 17 [47872/48750]	Loss: 0.3762	LR: 0.000800
Training Epoch: 17 [48128/48750]	Loss: 0.2724	LR: 0.000800
Training Epoch: 17 [48384/48750]	Loss: 0.2724	LR: 0.000800
Training Epoch: 17 [48640/48750]	Loss: 0.2621	LR: 0.000800
Training Epoch: 17 [48750/48750]	Loss: 0.1815	LR: 0.000800
Epoch 17 - Average Train Loss: 0.2679, Train Accuracy: 0.9057
Epoch 17 training time consumed: 30.03s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0013, Accuracy: 0.8943, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_22h_14m_01s/ResNet18-Cifar10-seed7-ret75-17-best.pth
Training Epoch: 18 [256/48750]	Loss: 0.2621	LR: 0.000800
Training Epoch: 18 [512/48750]	Loss: 0.3573	LR: 0.000800
Training Epoch: 18 [768/48750]	Loss: 0.2682	LR: 0.000800
Training Epoch: 18 [1024/48750]	Loss: 0.2328	LR: 0.000800
Training Epoch: 18 [1280/48750]	Loss: 0.3027	LR: 0.000800
Training Epoch: 18 [1536/48750]	Loss: 0.2495	LR: 0.000800
Training Epoch: 18 [1792/48750]	Loss: 0.2793	LR: 0.000800
Training Epoch: 18 [2048/48750]	Loss: 0.3531	LR: 0.000800
Training Epoch: 18 [2304/48750]	Loss: 0.2762	LR: 0.000800
Training Epoch: 18 [2560/48750]	Loss: 0.2751	LR: 0.000800
Training Epoch: 18 [2816/48750]	Loss: 0.2784	LR: 0.000800
Training Epoch: 18 [3072/48750]	Loss: 0.2164	LR: 0.000800
Training Epoch: 18 [3328/48750]	Loss: 0.3229	LR: 0.000800
Training Epoch: 18 [3584/48750]	Loss: 0.3276	LR: 0.000800
Training Epoch: 18 [3840/48750]	Loss: 0.2789	LR: 0.000800
Training Epoch: 18 [4096/48750]	Loss: 0.3330	LR: 0.000800
Training Epoch: 18 [4352/48750]	Loss: 0.1925	LR: 0.000800
Training Epoch: 18 [4608/48750]	Loss: 0.3327	LR: 0.000800
Training Epoch: 18 [4864/48750]	Loss: 0.2028	LR: 0.000800
Training Epoch: 18 [5120/48750]	Loss: 0.2178	LR: 0.000800
Training Epoch: 18 [5376/48750]	Loss: 0.2259	LR: 0.000800
Training Epoch: 18 [5632/48750]	Loss: 0.2080	LR: 0.000800
Training Epoch: 18 [5888/48750]	Loss: 0.2922	LR: 0.000800
Training Epoch: 18 [6144/48750]	Loss: 0.3098	LR: 0.000800
Training Epoch: 18 [6400/48750]	Loss: 0.2485	LR: 0.000800
Training Epoch: 18 [6656/48750]	Loss: 0.2078	LR: 0.000800
Training Epoch: 18 [6912/48750]	Loss: 0.2658	LR: 0.000800
Training Epoch: 18 [7168/48750]	Loss: 0.2357	LR: 0.000800
Training Epoch: 18 [7424/48750]	Loss: 0.3402	LR: 0.000800
Training Epoch: 18 [7680/48750]	Loss: 0.2963	LR: 0.000800
Training Epoch: 18 [7936/48750]	Loss: 0.2516	LR: 0.000800
Training Epoch: 18 [8192/48750]	Loss: 0.2471	LR: 0.000800
Training Epoch: 18 [8448/48750]	Loss: 0.2690	LR: 0.000800
Training Epoch: 18 [8704/48750]	Loss: 0.1849	LR: 0.000800
Training Epoch: 18 [8960/48750]	Loss: 0.2376	LR: 0.000800
Training Epoch: 18 [9216/48750]	Loss: 0.2711	LR: 0.000800
Training Epoch: 18 [9472/48750]	Loss: 0.2715	LR: 0.000800
Training Epoch: 18 [9728/48750]	Loss: 0.2714	LR: 0.000800
Training Epoch: 18 [9984/48750]	Loss: 0.2607	LR: 0.000800
Training Epoch: 18 [10240/48750]	Loss: 0.3676	LR: 0.000800
Training Epoch: 18 [10496/48750]	Loss: 0.2107	LR: 0.000800
Training Epoch: 18 [10752/48750]	Loss: 0.3063	LR: 0.000800
Training Epoch: 18 [11008/48750]	Loss: 0.3010	LR: 0.000800
Training Epoch: 18 [11264/48750]	Loss: 0.2790	LR: 0.000800
Training Epoch: 18 [11520/48750]	Loss: 0.3193	LR: 0.000800
Training Epoch: 18 [11776/48750]	Loss: 0.2859	LR: 0.000800
Training Epoch: 18 [12032/48750]	Loss: 0.2578	LR: 0.000800
Training Epoch: 18 [12288/48750]	Loss: 0.2737	LR: 0.000800
Training Epoch: 18 [12544/48750]	Loss: 0.2073	LR: 0.000800
Training Epoch: 18 [12800/48750]	Loss: 0.2572	LR: 0.000800
Training Epoch: 18 [13056/48750]	Loss: 0.2239	LR: 0.000800
Training Epoch: 18 [13312/48750]	Loss: 0.3051	LR: 0.000800
Training Epoch: 18 [13568/48750]	Loss: 0.2184	LR: 0.000800
Training Epoch: 18 [13824/48750]	Loss: 0.2189	LR: 0.000800
Training Epoch: 18 [14080/48750]	Loss: 0.2161	LR: 0.000800
Training Epoch: 18 [14336/48750]	Loss: 0.2853	LR: 0.000800
Training Epoch: 18 [14592/48750]	Loss: 0.2138	LR: 0.000800
Training Epoch: 18 [14848/48750]	Loss: 0.2968	LR: 0.000800
Training Epoch: 18 [15104/48750]	Loss: 0.2750	LR: 0.000800
Training Epoch: 18 [15360/48750]	Loss: 0.2217	LR: 0.000800
Training Epoch: 18 [15616/48750]	Loss: 0.2139	LR: 0.000800
Training Epoch: 18 [15872/48750]	Loss: 0.3008	LR: 0.000800
Training Epoch: 18 [16128/48750]	Loss: 0.2687	LR: 0.000800
Training Epoch: 18 [16384/48750]	Loss: 0.2626	LR: 0.000800
Training Epoch: 18 [16640/48750]	Loss: 0.3376	LR: 0.000800
Training Epoch: 18 [16896/48750]	Loss: 0.2253	LR: 0.000800
Training Epoch: 18 [17152/48750]	Loss: 0.3024	LR: 0.000800
Training Epoch: 18 [17408/48750]	Loss: 0.3226	LR: 0.000800
Training Epoch: 18 [17664/48750]	Loss: 0.3412	LR: 0.000800
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Training Epoch: 18 [18432/48750]	Loss: 0.2473	LR: 0.000800
Training Epoch: 18 [18688/48750]	Loss: 0.2671	LR: 0.000800
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Training Epoch: 18 [19456/48750]	Loss: 0.3161	LR: 0.000800
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Training Epoch: 18 [19968/48750]	Loss: 0.2177	LR: 0.000800
Training Epoch: 18 [20224/48750]	Loss: 0.2645	LR: 0.000800
Training Epoch: 18 [20480/48750]	Loss: 0.3412	LR: 0.000800
Training Epoch: 18 [20736/48750]	Loss: 0.2244	LR: 0.000800
Training Epoch: 18 [20992/48750]	Loss: 0.2556	LR: 0.000800
Training Epoch: 18 [21248/48750]	Loss: 0.2183	LR: 0.000800
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Training Epoch: 18 [21760/48750]	Loss: 0.3038	LR: 0.000800
Training Epoch: 18 [22016/48750]	Loss: 0.3108	LR: 0.000800
Training Epoch: 18 [22272/48750]	Loss: 0.2785	LR: 0.000800
Training Epoch: 18 [22528/48750]	Loss: 0.2527	LR: 0.000800
Training Epoch: 18 [22784/48750]	Loss: 0.2806	LR: 0.000800
Training Epoch: 18 [23040/48750]	Loss: 0.2845	LR: 0.000800
Training Epoch: 18 [23296/48750]	Loss: 0.3155	LR: 0.000800
Training Epoch: 18 [23552/48750]	Loss: 0.3139	LR: 0.000800
Training Epoch: 18 [23808/48750]	Loss: 0.2427	LR: 0.000800
Training Epoch: 18 [24064/48750]	Loss: 0.2009	LR: 0.000800
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Training Epoch: 18 [24576/48750]	Loss: 0.3273	LR: 0.000800
Training Epoch: 18 [24832/48750]	Loss: 0.2536	LR: 0.000800
Training Epoch: 18 [25088/48750]	Loss: 0.3540	LR: 0.000800
Training Epoch: 18 [25344/48750]	Loss: 0.2946	LR: 0.000800
Training Epoch: 18 [25600/48750]	Loss: 0.2554	LR: 0.000800
Training Epoch: 18 [25856/48750]	Loss: 0.2067	LR: 0.000800
Training Epoch: 18 [26112/48750]	Loss: 0.2407	LR: 0.000800
Training Epoch: 18 [26368/48750]	Loss: 0.2843	LR: 0.000800
Training Epoch: 18 [26624/48750]	Loss: 0.2308	LR: 0.000800
Training Epoch: 18 [26880/48750]	Loss: 0.1859	LR: 0.000800
Training Epoch: 18 [27136/48750]	Loss: 0.2775	LR: 0.000800
Training Epoch: 18 [27392/48750]	Loss: 0.2735	LR: 0.000800
Training Epoch: 18 [27648/48750]	Loss: 0.2852	LR: 0.000800
Training Epoch: 18 [27904/48750]	Loss: 0.2445	LR: 0.000800
Training Epoch: 18 [28160/48750]	Loss: 0.3199	LR: 0.000800
Training Epoch: 18 [28416/48750]	Loss: 0.2332	LR: 0.000800
Training Epoch: 18 [28672/48750]	Loss: 0.3020	LR: 0.000800
Training Epoch: 18 [28928/48750]	Loss: 0.2632	LR: 0.000800
Training Epoch: 18 [29184/48750]	Loss: 0.2989	LR: 0.000800
Training Epoch: 18 [29440/48750]	Loss: 0.2973	LR: 0.000800
Training Epoch: 18 [29696/48750]	Loss: 0.2395	LR: 0.000800
Training Epoch: 18 [29952/48750]	Loss: 0.2613	LR: 0.000800
Training Epoch: 18 [30208/48750]	Loss: 0.3077	LR: 0.000800
Training Epoch: 18 [30464/48750]	Loss: 0.2247	LR: 0.000800
Training Epoch: 18 [30720/48750]	Loss: 0.3197	LR: 0.000800
Training Epoch: 18 [30976/48750]	Loss: 0.2255	LR: 0.000800
Training Epoch: 18 [31232/48750]	Loss: 0.2782	LR: 0.000800
Training Epoch: 18 [31488/48750]	Loss: 0.3191	LR: 0.000800
Training Epoch: 18 [31744/48750]	Loss: 0.2688	LR: 0.000800
Training Epoch: 18 [32000/48750]	Loss: 0.2178	LR: 0.000800
Training Epoch: 18 [32256/48750]	Loss: 0.2572	LR: 0.000800
Training Epoch: 18 [32512/48750]	Loss: 0.2995	LR: 0.000800
Training Epoch: 18 [32768/48750]	Loss: 0.2666	LR: 0.000800
Training Epoch: 18 [33024/48750]	Loss: 0.2634	LR: 0.000800
Training Epoch: 18 [33280/48750]	Loss: 0.2855	LR: 0.000800
Training Epoch: 18 [33536/48750]	Loss: 0.2466	LR: 0.000800
Training Epoch: 18 [33792/48750]	Loss: 0.2288	LR: 0.000800
Training Epoch: 18 [34048/48750]	Loss: 0.2346	LR: 0.000800
Training Epoch: 18 [34304/48750]	Loss: 0.3072	LR: 0.000800
Training Epoch: 18 [34560/48750]	Loss: 0.2917	LR: 0.000800
Training Epoch: 18 [34816/48750]	Loss: 0.2491	LR: 0.000800
Training Epoch: 18 [35072/48750]	Loss: 0.3304	LR: 0.000800
Training Epoch: 18 [35328/48750]	Loss: 0.2068	LR: 0.000800
Training Epoch: 18 [35584/48750]	Loss: 0.2484	LR: 0.000800
Training Epoch: 18 [35840/48750]	Loss: 0.2472	LR: 0.000800
Training Epoch: 18 [36096/48750]	Loss: 0.2886	LR: 0.000800
Training Epoch: 18 [36352/48750]	Loss: 0.2224	LR: 0.000800
Training Epoch: 18 [36608/48750]	Loss: 0.2495	LR: 0.000800
Training Epoch: 18 [36864/48750]	Loss: 0.2657	LR: 0.000800
Training Epoch: 18 [37120/48750]	Loss: 0.2027	LR: 0.000800
Training Epoch: 18 [37376/48750]	Loss: 0.2494	LR: 0.000800
Training Epoch: 18 [37632/48750]	Loss: 0.1805	LR: 0.000800
Training Epoch: 18 [37888/48750]	Loss: 0.2377	LR: 0.000800
Training Epoch: 18 [38144/48750]	Loss: 0.2825	LR: 0.000800
Training Epoch: 18 [38400/48750]	Loss: 0.3031	LR: 0.000800
Training Epoch: 18 [38656/48750]	Loss: 0.3264	LR: 0.000800
Training Epoch: 18 [38912/48750]	Loss: 0.2182	LR: 0.000800
Training Epoch: 18 [39168/48750]	Loss: 0.2864	LR: 0.000800
Training Epoch: 18 [39424/48750]	Loss: 0.3698	LR: 0.000800
Training Epoch: 18 [39680/48750]	Loss: 0.1788	LR: 0.000800
Training Epoch: 18 [39936/48750]	Loss: 0.2967	LR: 0.000800
Training Epoch: 18 [40192/48750]	Loss: 0.3099	LR: 0.000800
Training Epoch: 18 [40448/48750]	Loss: 0.3030	LR: 0.000800
Training Epoch: 18 [40704/48750]	Loss: 0.3243	LR: 0.000800
Training Epoch: 18 [40960/48750]	Loss: 0.2351	LR: 0.000800
Training Epoch: 18 [41216/48750]	Loss: 0.2685	LR: 0.000800
Training Epoch: 18 [41472/48750]	Loss: 0.2719	LR: 0.000800
Training Epoch: 18 [41728/48750]	Loss: 0.1958	LR: 0.000800
Training Epoch: 18 [41984/48750]	Loss: 0.2202	LR: 0.000800
Training Epoch: 18 [42240/48750]	Loss: 0.2612	LR: 0.000800
Training Epoch: 18 [42496/48750]	Loss: 0.2913	LR: 0.000800
Training Epoch: 18 [42752/48750]	Loss: 0.2910	LR: 0.000800
Training Epoch: 18 [43008/48750]	Loss: 0.2717	LR: 0.000800
Training Epoch: 18 [43264/48750]	Loss: 0.2853	LR: 0.000800
Training Epoch: 18 [43520/48750]	Loss: 0.3171	LR: 0.000800
Training Epoch: 18 [43776/48750]	Loss: 0.2908	LR: 0.000800
Training Epoch: 18 [44032/48750]	Loss: 0.2799	LR: 0.000800
Training Epoch: 18 [44288/48750]	Loss: 0.2686	LR: 0.000800
Training Epoch: 18 [44544/48750]	Loss: 0.3112	LR: 0.000800
Training Epoch: 18 [44800/48750]	Loss: 0.2993	LR: 0.000800
Training Epoch: 18 [45056/48750]	Loss: 0.2441	LR: 0.000800
Training Epoch: 18 [45312/48750]	Loss: 0.2552	LR: 0.000800
Training Epoch: 18 [45568/48750]	Loss: 0.2613	LR: 0.000800
Training Epoch: 18 [45824/48750]	Loss: 0.1614	LR: 0.000800
Training Epoch: 18 [46080/48750]	Loss: 0.1971	LR: 0.000800
Training Epoch: 18 [46336/48750]	Loss: 0.3384	LR: 0.000800
Training Epoch: 18 [46592/48750]	Loss: 0.2317	LR: 0.000800
Training Epoch: 18 [46848/48750]	Loss: 0.2128	LR: 0.000800
Training Epoch: 18 [47104/48750]	Loss: 0.2126	LR: 0.000800
Training Epoch: 18 [47360/48750]	Loss: 0.2212	LR: 0.000800
Training Epoch: 18 [47616/48750]	Loss: 0.2360	LR: 0.000800
Training Epoch: 18 [47872/48750]	Loss: 0.1972	LR: 0.000800
Training Epoch: 18 [48128/48750]	Loss: 0.2539	LR: 0.000800
Training Epoch: 18 [48384/48750]	Loss: 0.3134	LR: 0.000800
Training Epoch: 18 [48640/48750]	Loss: 0.2768	LR: 0.000800
Training Epoch: 18 [48750/48750]	Loss: 0.3096	LR: 0.000800
Epoch 18 - Average Train Loss: 0.2669, Train Accuracy: 0.9069
Epoch 18 training time consumed: 30.01s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0013, Accuracy: 0.8950, Time consumed:1.00s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_22h_14m_01s/ResNet18-Cifar10-seed7-ret75-18-best.pth
Training Epoch: 19 [256/48750]	Loss: 0.2495	LR: 0.000800
Training Epoch: 19 [512/48750]	Loss: 0.3386	LR: 0.000800
Training Epoch: 19 [768/48750]	Loss: 0.2077	LR: 0.000800
Training Epoch: 19 [1024/48750]	Loss: 0.3032	LR: 0.000800
Training Epoch: 19 [1280/48750]	Loss: 0.2649	LR: 0.000800
Training Epoch: 19 [1536/48750]	Loss: 0.2990	LR: 0.000800
Training Epoch: 19 [1792/48750]	Loss: 0.2779	LR: 0.000800
Training Epoch: 19 [2048/48750]	Loss: 0.2748	LR: 0.000800
Training Epoch: 19 [2304/48750]	Loss: 0.2213	LR: 0.000800
Training Epoch: 19 [2560/48750]	Loss: 0.2488	LR: 0.000800
Training Epoch: 19 [2816/48750]	Loss: 0.2606	LR: 0.000800
Training Epoch: 19 [3072/48750]	Loss: 0.3300	LR: 0.000800
Training Epoch: 19 [3328/48750]	Loss: 0.3242	LR: 0.000800
Training Epoch: 19 [3584/48750]	Loss: 0.2360	LR: 0.000800
Training Epoch: 19 [3840/48750]	Loss: 0.2653	LR: 0.000800
Training Epoch: 19 [4096/48750]	Loss: 0.2693	LR: 0.000800
Training Epoch: 19 [4352/48750]	Loss: 0.2652	LR: 0.000800
Training Epoch: 19 [4608/48750]	Loss: 0.2663	LR: 0.000800
Training Epoch: 19 [4864/48750]	Loss: 0.2877	LR: 0.000800
Training Epoch: 19 [5120/48750]	Loss: 0.2496	LR: 0.000800
Training Epoch: 19 [5376/48750]	Loss: 0.2768	LR: 0.000800
Training Epoch: 19 [5632/48750]	Loss: 0.2093	LR: 0.000800
Training Epoch: 19 [5888/48750]	Loss: 0.3153	LR: 0.000800
Training Epoch: 19 [6144/48750]	Loss: 0.2400	LR: 0.000800
Training Epoch: 19 [6400/48750]	Loss: 0.2474	LR: 0.000800
Training Epoch: 19 [6656/48750]	Loss: 0.2126	LR: 0.000800
Training Epoch: 19 [6912/48750]	Loss: 0.3307	LR: 0.000800
Training Epoch: 19 [7168/48750]	Loss: 0.2462	LR: 0.000800
Training Epoch: 19 [7424/48750]	Loss: 0.2280	LR: 0.000800
Training Epoch: 19 [7680/48750]	Loss: 0.2888	LR: 0.000800
Training Epoch: 19 [7936/48750]	Loss: 0.2725	LR: 0.000800
Training Epoch: 19 [8192/48750]	Loss: 0.2942	LR: 0.000800
Training Epoch: 19 [8448/48750]	Loss: 0.3073	LR: 0.000800
Training Epoch: 19 [8704/48750]	Loss: 0.3129	LR: 0.000800
Training Epoch: 19 [8960/48750]	Loss: 0.2617	LR: 0.000800
Training Epoch: 19 [9216/48750]	Loss: 0.1946	LR: 0.000800
Training Epoch: 19 [9472/48750]	Loss: 0.2348	LR: 0.000800
Training Epoch: 19 [9728/48750]	Loss: 0.2164	LR: 0.000800
Training Epoch: 19 [9984/48750]	Loss: 0.2357	LR: 0.000800
Training Epoch: 19 [10240/48750]	Loss: 0.2697	LR: 0.000800
Training Epoch: 19 [10496/48750]	Loss: 0.2051	LR: 0.000800
Training Epoch: 19 [10752/48750]	Loss: 0.2453	LR: 0.000800
Training Epoch: 19 [11008/48750]	Loss: 0.2709	LR: 0.000800
Training Epoch: 19 [11264/48750]	Loss: 0.2687	LR: 0.000800
Training Epoch: 19 [11520/48750]	Loss: 0.2598	LR: 0.000800
Training Epoch: 19 [11776/48750]	Loss: 0.2604	LR: 0.000800
Training Epoch: 19 [12032/48750]	Loss: 0.2953	LR: 0.000800
Training Epoch: 19 [12288/48750]	Loss: 0.2430	LR: 0.000800
Training Epoch: 19 [12544/48750]	Loss: 0.2467	LR: 0.000800
Training Epoch: 19 [12800/48750]	Loss: 0.2336	LR: 0.000800
Training Epoch: 19 [13056/48750]	Loss: 0.3225	LR: 0.000800
Training Epoch: 19 [13312/48750]	Loss: 0.3317	LR: 0.000800
Training Epoch: 19 [13568/48750]	Loss: 0.3206	LR: 0.000800
Training Epoch: 19 [13824/48750]	Loss: 0.2794	LR: 0.000800
Training Epoch: 19 [14080/48750]	Loss: 0.2173	LR: 0.000800
Training Epoch: 19 [14336/48750]	Loss: 0.2525	LR: 0.000800
Training Epoch: 19 [14592/48750]	Loss: 0.2273	LR: 0.000800
Training Epoch: 19 [14848/48750]	Loss: 0.2717	LR: 0.000800
Training Epoch: 19 [15104/48750]	Loss: 0.2272	LR: 0.000800
Training Epoch: 19 [15360/48750]	Loss: 0.3263	LR: 0.000800
Training Epoch: 19 [15616/48750]	Loss: 0.2453	LR: 0.000800
Training Epoch: 19 [15872/48750]	Loss: 0.2900	LR: 0.000800
Training Epoch: 19 [16128/48750]	Loss: 0.2361	LR: 0.000800
Training Epoch: 19 [16384/48750]	Loss: 0.3066	LR: 0.000800
Training Epoch: 19 [16640/48750]	Loss: 0.2220	LR: 0.000800
Training Epoch: 19 [16896/48750]	Loss: 0.2721	LR: 0.000800
Training Epoch: 19 [17152/48750]	Loss: 0.2758	LR: 0.000800
Training Epoch: 19 [17408/48750]	Loss: 0.2892	LR: 0.000800
Training Epoch: 19 [17664/48750]	Loss: 0.2948	LR: 0.000800
Training Epoch: 19 [17920/48750]	Loss: 0.2033	LR: 0.000800
Training Epoch: 19 [18176/48750]	Loss: 0.2959	LR: 0.000800
Training Epoch: 19 [18432/48750]	Loss: 0.2807	LR: 0.000800
Training Epoch: 19 [18688/48750]	Loss: 0.2650	LR: 0.000800
Training Epoch: 19 [18944/48750]	Loss: 0.2541	LR: 0.000800
Training Epoch: 19 [19200/48750]	Loss: 0.2327	LR: 0.000800
Training Epoch: 19 [19456/48750]	Loss: 0.2484	LR: 0.000800
Training Epoch: 19 [19712/48750]	Loss: 0.2513	LR: 0.000800
Training Epoch: 19 [19968/48750]	Loss: 0.2825	LR: 0.000800
Training Epoch: 19 [20224/48750]	Loss: 0.2846	LR: 0.000800
Training Epoch: 19 [20480/48750]	Loss: 0.2405	LR: 0.000800
Training Epoch: 19 [20736/48750]	Loss: 0.2279	LR: 0.000800
Training Epoch: 19 [20992/48750]	Loss: 0.2059	LR: 0.000800
Training Epoch: 19 [21248/48750]	Loss: 0.2450	LR: 0.000800
Training Epoch: 19 [21504/48750]	Loss: 0.2895	LR: 0.000800
Training Epoch: 19 [21760/48750]	Loss: 0.2801	LR: 0.000800
Training Epoch: 19 [22016/48750]	Loss: 0.2705	LR: 0.000800
Training Epoch: 19 [22272/48750]	Loss: 0.2777	LR: 0.000800
Training Epoch: 19 [22528/48750]	Loss: 0.2460	LR: 0.000800
Training Epoch: 19 [22784/48750]	Loss: 0.2762	LR: 0.000800
Training Epoch: 19 [23040/48750]	Loss: 0.2888	LR: 0.000800
Training Epoch: 19 [23296/48750]	Loss: 0.2609	LR: 0.000800
Training Epoch: 19 [23552/48750]	Loss: 0.2460	LR: 0.000800
Training Epoch: 19 [23808/48750]	Loss: 0.1904	LR: 0.000800
Training Epoch: 19 [24064/48750]	Loss: 0.2492	LR: 0.000800
Training Epoch: 19 [24320/48750]	Loss: 0.2576	LR: 0.000800
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Training Epoch: 19 [24832/48750]	Loss: 0.2662	LR: 0.000800
Training Epoch: 19 [25088/48750]	Loss: 0.2586	LR: 0.000800
Training Epoch: 19 [25344/48750]	Loss: 0.2155	LR: 0.000800
Training Epoch: 19 [25600/48750]	Loss: 0.2535	LR: 0.000800
Training Epoch: 19 [25856/48750]	Loss: 0.3166	LR: 0.000800
Training Epoch: 19 [26112/48750]	Loss: 0.2731	LR: 0.000800
Training Epoch: 19 [26368/48750]	Loss: 0.2672	LR: 0.000800
Training Epoch: 19 [26624/48750]	Loss: 0.2755	LR: 0.000800
Training Epoch: 19 [26880/48750]	Loss: 0.2682	LR: 0.000800
Training Epoch: 19 [27136/48750]	Loss: 0.2292	LR: 0.000800
Training Epoch: 19 [27392/48750]	Loss: 0.2418	LR: 0.000800
Training Epoch: 19 [27648/48750]	Loss: 0.2713	LR: 0.000800
Training Epoch: 19 [27904/48750]	Loss: 0.3279	LR: 0.000800
Training Epoch: 19 [28160/48750]	Loss: 0.2555	LR: 0.000800
Training Epoch: 19 [28416/48750]	Loss: 0.2782	LR: 0.000800
Training Epoch: 19 [28672/48750]	Loss: 0.1787	LR: 0.000800
Training Epoch: 19 [28928/48750]	Loss: 0.3017	LR: 0.000800
Training Epoch: 19 [29184/48750]	Loss: 0.2200	LR: 0.000800
Training Epoch: 19 [29440/48750]	Loss: 0.3073	LR: 0.000800
Training Epoch: 19 [29696/48750]	Loss: 0.3162	LR: 0.000800
Training Epoch: 19 [29952/48750]	Loss: 0.2251	LR: 0.000800
Training Epoch: 19 [30208/48750]	Loss: 0.2541	LR: 0.000800
Training Epoch: 19 [30464/48750]	Loss: 0.2807	LR: 0.000800
Training Epoch: 19 [30720/48750]	Loss: 0.3259	LR: 0.000800
Training Epoch: 19 [30976/48750]	Loss: 0.2346	LR: 0.000800
Training Epoch: 19 [31232/48750]	Loss: 0.2767	LR: 0.000800
Training Epoch: 19 [31488/48750]	Loss: 0.2441	LR: 0.000800
Training Epoch: 19 [31744/48750]	Loss: 0.2478	LR: 0.000800
Training Epoch: 19 [32000/48750]	Loss: 0.2794	LR: 0.000800
Training Epoch: 19 [32256/48750]	Loss: 0.3198	LR: 0.000800
Training Epoch: 19 [32512/48750]	Loss: 0.2486	LR: 0.000800
Training Epoch: 19 [32768/48750]	Loss: 0.3615	LR: 0.000800
Training Epoch: 19 [33024/48750]	Loss: 0.3241	LR: 0.000800
Training Epoch: 19 [33280/48750]	Loss: 0.2536	LR: 0.000800
Training Epoch: 19 [33536/48750]	Loss: 0.2429	LR: 0.000800
Training Epoch: 19 [33792/48750]	Loss: 0.2704	LR: 0.000800
Training Epoch: 19 [34048/48750]	Loss: 0.2271	LR: 0.000800
Training Epoch: 19 [34304/48750]	Loss: 0.2607	LR: 0.000800
Training Epoch: 19 [34560/48750]	Loss: 0.2357	LR: 0.000800
Training Epoch: 19 [34816/48750]	Loss: 0.2709	LR: 0.000800
Training Epoch: 19 [35072/48750]	Loss: 0.2603	LR: 0.000800
Training Epoch: 19 [35328/48750]	Loss: 0.2348	LR: 0.000800
Training Epoch: 19 [35584/48750]	Loss: 0.2238	LR: 0.000800
Training Epoch: 19 [35840/48750]	Loss: 0.2649	LR: 0.000800
Training Epoch: 19 [36096/48750]	Loss: 0.3625	LR: 0.000800
Training Epoch: 19 [36352/48750]	Loss: 0.2679	LR: 0.000800
Training Epoch: 19 [36608/48750]	Loss: 0.2008	LR: 0.000800
Training Epoch: 19 [36864/48750]	Loss: 0.3136	LR: 0.000800
Training Epoch: 19 [37120/48750]	Loss: 0.3145	LR: 0.000800
Training Epoch: 19 [37376/48750]	Loss: 0.2834	LR: 0.000800
Training Epoch: 19 [37632/48750]	Loss: 0.3127	LR: 0.000800
Training Epoch: 19 [37888/48750]	Loss: 0.2065	LR: 0.000800
Training Epoch: 19 [38144/48750]	Loss: 0.2589	LR: 0.000800
Training Epoch: 19 [38400/48750]	Loss: 0.2315	LR: 0.000800
Training Epoch: 19 [38656/48750]	Loss: 0.1979	LR: 0.000800
Training Epoch: 19 [38912/48750]	Loss: 0.2190	LR: 0.000800
Training Epoch: 19 [39168/48750]	Loss: 0.2062	LR: 0.000800
Training Epoch: 19 [39424/48750]	Loss: 0.3336	LR: 0.000800
Training Epoch: 19 [39680/48750]	Loss: 0.2368	LR: 0.000800
Training Epoch: 19 [39936/48750]	Loss: 0.2495	LR: 0.000800
Training Epoch: 19 [40192/48750]	Loss: 0.2940	LR: 0.000800
Training Epoch: 19 [40448/48750]	Loss: 0.3031	LR: 0.000800
Training Epoch: 19 [40704/48750]	Loss: 0.2362	LR: 0.000800
Training Epoch: 19 [40960/48750]	Loss: 0.3334	LR: 0.000800
Training Epoch: 19 [41216/48750]	Loss: 0.2537	LR: 0.000800
Training Epoch: 19 [41472/48750]	Loss: 0.1903	LR: 0.000800
Training Epoch: 19 [41728/48750]	Loss: 0.3056	LR: 0.000800
Training Epoch: 19 [41984/48750]	Loss: 0.2577	LR: 0.000800
Training Epoch: 19 [42240/48750]	Loss: 0.2160	LR: 0.000800
Training Epoch: 19 [42496/48750]	Loss: 0.3094	LR: 0.000800
Training Epoch: 19 [42752/48750]	Loss: 0.2546	LR: 0.000800
Training Epoch: 19 [43008/48750]	Loss: 0.3001	LR: 0.000800
Training Epoch: 19 [43264/48750]	Loss: 0.2577	LR: 0.000800
Training Epoch: 19 [43520/48750]	Loss: 0.2914	LR: 0.000800
Training Epoch: 19 [43776/48750]	Loss: 0.2654	LR: 0.000800
Training Epoch: 19 [44032/48750]	Loss: 0.3148	LR: 0.000800
Training Epoch: 19 [44288/48750]	Loss: 0.2637	LR: 0.000800
Training Epoch: 19 [44544/48750]	Loss: 0.2620	LR: 0.000800
Training Epoch: 19 [44800/48750]	Loss: 0.2822	LR: 0.000800
Training Epoch: 19 [45056/48750]	Loss: 0.2550	LR: 0.000800
Training Epoch: 19 [45312/48750]	Loss: 0.2095	LR: 0.000800
Training Epoch: 19 [45568/48750]	Loss: 0.2299	LR: 0.000800
Training Epoch: 19 [45824/48750]	Loss: 0.2776	LR: 0.000800
Training Epoch: 19 [46080/48750]	Loss: 0.2415	LR: 0.000800
Training Epoch: 19 [46336/48750]	Loss: 0.2367	LR: 0.000800
Training Epoch: 19 [46592/48750]	Loss: 0.2524	LR: 0.000800
Training Epoch: 19 [46848/48750]	Loss: 0.2894	LR: 0.000800
Training Epoch: 19 [47104/48750]	Loss: 0.3116	LR: 0.000800
Training Epoch: 19 [47360/48750]	Loss: 0.2385	LR: 0.000800
Training Epoch: 19 [47616/48750]	Loss: 0.2396	LR: 0.000800
Training Epoch: 19 [47872/48750]	Loss: 0.1782	LR: 0.000800
Training Epoch: 19 [48128/48750]	Loss: 0.2814	LR: 0.000800
Training Epoch: 19 [48384/48750]	Loss: 0.3107	LR: 0.000800
Training Epoch: 19 [48640/48750]	Loss: 0.2065	LR: 0.000800
Training Epoch: 19 [48750/48750]	Loss: 0.1821	LR: 0.000800
Epoch 19 - Average Train Loss: 0.2636, Train Accuracy: 0.9081
Epoch 19 training time consumed: 29.78s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0013, Accuracy: 0.8958, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_22h_14m_01s/ResNet18-Cifar10-seed7-ret75-19-best.pth
Training Epoch: 20 [256/48750]	Loss: 0.2131	LR: 0.000800
Training Epoch: 20 [512/48750]	Loss: 0.2789	LR: 0.000800
Training Epoch: 20 [768/48750]	Loss: 0.2789	LR: 0.000800
Training Epoch: 20 [1024/48750]	Loss: 0.3133	LR: 0.000800
Training Epoch: 20 [1280/48750]	Loss: 0.2476	LR: 0.000800
Training Epoch: 20 [1536/48750]	Loss: 0.2938	LR: 0.000800
Training Epoch: 20 [1792/48750]	Loss: 0.2044	LR: 0.000800
Training Epoch: 20 [2048/48750]	Loss: 0.2485	LR: 0.000800
Training Epoch: 20 [2304/48750]	Loss: 0.2772	LR: 0.000800
Training Epoch: 20 [2560/48750]	Loss: 0.2939	LR: 0.000800
Training Epoch: 20 [2816/48750]	Loss: 0.2442	LR: 0.000800
Training Epoch: 20 [3072/48750]	Loss: 0.1856	LR: 0.000800
Training Epoch: 20 [3328/48750]	Loss: 0.3270	LR: 0.000800
Training Epoch: 20 [3584/48750]	Loss: 0.1813	LR: 0.000800
Training Epoch: 20 [3840/48750]	Loss: 0.2292	LR: 0.000800
Training Epoch: 20 [4096/48750]	Loss: 0.2543	LR: 0.000800
Training Epoch: 20 [4352/48750]	Loss: 0.3123	LR: 0.000800
Training Epoch: 20 [4608/48750]	Loss: 0.2362	LR: 0.000800
Training Epoch: 20 [4864/48750]	Loss: 0.2583	LR: 0.000800
Training Epoch: 20 [5120/48750]	Loss: 0.2638	LR: 0.000800
Training Epoch: 20 [5376/48750]	Loss: 0.2885	LR: 0.000800
Training Epoch: 20 [5632/48750]	Loss: 0.2444	LR: 0.000800
Training Epoch: 20 [5888/48750]	Loss: 0.1463	LR: 0.000800
Training Epoch: 20 [6144/48750]	Loss: 0.2794	LR: 0.000800
Training Epoch: 20 [6400/48750]	Loss: 0.2425	LR: 0.000800
Training Epoch: 20 [6656/48750]	Loss: 0.3296	LR: 0.000800
Training Epoch: 20 [6912/48750]	Loss: 0.2362	LR: 0.000800
Training Epoch: 20 [7168/48750]	Loss: 0.2529	LR: 0.000800
Training Epoch: 20 [7424/48750]	Loss: 0.2747	LR: 0.000800
Training Epoch: 20 [7680/48750]	Loss: 0.2038	LR: 0.000800
Training Epoch: 20 [7936/48750]	Loss: 0.3661	LR: 0.000800
Training Epoch: 20 [8192/48750]	Loss: 0.2738	LR: 0.000800
Training Epoch: 20 [8448/48750]	Loss: 0.3178	LR: 0.000800
Training Epoch: 20 [8704/48750]	Loss: 0.2693	LR: 0.000800
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Training Epoch: 20 [9216/48750]	Loss: 0.1762	LR: 0.000800
Training Epoch: 20 [9472/48750]	Loss: 0.2497	LR: 0.000800
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Training Epoch: 20 [9984/48750]	Loss: 0.2097	LR: 0.000800
Training Epoch: 20 [10240/48750]	Loss: 0.2550	LR: 0.000800
Training Epoch: 20 [10496/48750]	Loss: 0.2749	LR: 0.000800
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Training Epoch: 20 [11008/48750]	Loss: 0.2898	LR: 0.000800
Training Epoch: 20 [11264/48750]	Loss: 0.3376	LR: 0.000800
Training Epoch: 20 [11520/48750]	Loss: 0.2282	LR: 0.000800
Training Epoch: 20 [11776/48750]	Loss: 0.2278	LR: 0.000800
Training Epoch: 20 [12032/48750]	Loss: 0.3364	LR: 0.000800
Training Epoch: 20 [12288/48750]	Loss: 0.1638	LR: 0.000800
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Training Epoch: 20 [12800/48750]	Loss: 0.2802	LR: 0.000800
Training Epoch: 20 [13056/48750]	Loss: 0.2294	LR: 0.000800
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Training Epoch: 20 [14848/48750]	Loss: 0.2576	LR: 0.000800
Training Epoch: 20 [15104/48750]	Loss: 0.3058	LR: 0.000800
Training Epoch: 20 [15360/48750]	Loss: 0.2825	LR: 0.000800
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Training Epoch: 20 [15872/48750]	Loss: 0.2849	LR: 0.000800
Training Epoch: 20 [16128/48750]	Loss: 0.2429	LR: 0.000800
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Training Epoch: 20 [16896/48750]	Loss: 0.2206	LR: 0.000800
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Training Epoch: 20 [18176/48750]	Loss: 0.2429	LR: 0.000800
Training Epoch: 20 [18432/48750]	Loss: 0.2215	LR: 0.000800
Training Epoch: 20 [18688/48750]	Loss: 0.2495	LR: 0.000800
Training Epoch: 20 [18944/48750]	Loss: 0.2944	LR: 0.000800
Training Epoch: 20 [19200/48750]	Loss: 0.2503	LR: 0.000800
Training Epoch: 20 [19456/48750]	Loss: 0.3030	LR: 0.000800
Training Epoch: 20 [19712/48750]	Loss: 0.2910	LR: 0.000800
Training Epoch: 20 [19968/48750]	Loss: 0.2258	LR: 0.000800
Training Epoch: 20 [20224/48750]	Loss: 0.2281	LR: 0.000800
Training Epoch: 20 [20480/48750]	Loss: 0.3239	LR: 0.000800
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Training Epoch: 20 [21504/48750]	Loss: 0.3315	LR: 0.000800
Training Epoch: 20 [21760/48750]	Loss: 0.2916	LR: 0.000800
Training Epoch: 20 [22016/48750]	Loss: 0.2527	LR: 0.000800
Training Epoch: 20 [22272/48750]	Loss: 0.2839	LR: 0.000800
Training Epoch: 20 [22528/48750]	Loss: 0.2624	LR: 0.000800
Training Epoch: 20 [22784/48750]	Loss: 0.2717	LR: 0.000800
Training Epoch: 20 [23040/48750]	Loss: 0.2672	LR: 0.000800
Training Epoch: 20 [23296/48750]	Loss: 0.3197	LR: 0.000800
Training Epoch: 20 [23552/48750]	Loss: 0.2244	LR: 0.000800
Training Epoch: 20 [23808/48750]	Loss: 0.2756	LR: 0.000800
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Training Epoch: 20 [28416/48750]	Loss: 0.2262	LR: 0.000800
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Training Epoch: 20 [32000/48750]	Loss: 0.3140	LR: 0.000800
Training Epoch: 20 [32256/48750]	Loss: 0.3611	LR: 0.000800
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Training Epoch: 20 [32768/48750]	Loss: 0.2995	LR: 0.000800
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Training Epoch: 20 [41216/48750]	Loss: 0.3139	LR: 0.000800
Training Epoch: 20 [41472/48750]	Loss: 0.3227	LR: 0.000800
Training Epoch: 20 [41728/48750]	Loss: 0.2358	LR: 0.000800
Training Epoch: 20 [41984/48750]	Loss: 0.2978	LR: 0.000800
Training Epoch: 20 [42240/48750]	Loss: 0.2240	LR: 0.000800
Training Epoch: 20 [42496/48750]	Loss: 0.2219	LR: 0.000800
Training Epoch: 20 [42752/48750]	Loss: 0.2163	LR: 0.000800
Training Epoch: 20 [43008/48750]	Loss: 0.2763	LR: 0.000800
Training Epoch: 20 [43264/48750]	Loss: 0.2976	LR: 0.000800
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Training Epoch: 20 [44800/48750]	Loss: 0.3207	LR: 0.000800
Training Epoch: 20 [45056/48750]	Loss: 0.2693	LR: 0.000800
Training Epoch: 20 [45312/48750]	Loss: 0.3291	LR: 0.000800
Training Epoch: 20 [45568/48750]	Loss: 0.2993	LR: 0.000800
Training Epoch: 20 [45824/48750]	Loss: 0.3509	LR: 0.000800
Training Epoch: 20 [46080/48750]	Loss: 0.3086	LR: 0.000800
Training Epoch: 20 [46336/48750]	Loss: 0.2492	LR: 0.000800
Training Epoch: 20 [46592/48750]	Loss: 0.2250	LR: 0.000800
Training Epoch: 20 [46848/48750]	Loss: 0.2834	LR: 0.000800
Training Epoch: 20 [47104/48750]	Loss: 0.1766	LR: 0.000800
Training Epoch: 20 [47360/48750]	Loss: 0.2350	LR: 0.000800
Training Epoch: 20 [47616/48750]	Loss: 0.2278	LR: 0.000800
Training Epoch: 20 [47872/48750]	Loss: 0.1880	LR: 0.000800
Training Epoch: 20 [48128/48750]	Loss: 0.2448	LR: 0.000800
Training Epoch: 20 [48384/48750]	Loss: 0.3114	LR: 0.000800
Training Epoch: 20 [48640/48750]	Loss: 0.2390	LR: 0.000800
Training Epoch: 20 [48750/48750]	Loss: 0.2828	LR: 0.000800
Epoch 20 - Average Train Loss: 0.2638, Train Accuracy: 0.9072
Epoch 20 training time consumed: 29.88s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0013, Accuracy: 0.8962, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_22h_14m_01s/ResNet18-Cifar10-seed7-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
MIA Attack Accuracy with XGBoost: 0.7380
Set1 Distribution: 1250 samples
Set2 Distribution: 1250 samples
MIA Attack Accuracy with XGBoost: 0.4640
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
MIA Attack Accuracy with XGBoost: 0.6667
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
MIA Attack Accuracy with XGBoost: 0.5125
Test Accuracy: 91.552734375
Retain Accuracy: 94.07250213623047
Zero-Retain Forget (ZRF): 0.8200055360794067
Membership Inference Attack (MIA): 0.7104
Forget vs Retain Membership Inference Attack (MIA): 0.738
Forget vs Test Membership Inference Attack (MIA): 0.464
Test vs Retain Membership Inference Attack (MIA): 0.66675
Train vs Test Membership Inference Attack (MIA): 0.5125
Forget Set Accuracy (Df): 95.67201232910156
Method Execution Time: 2557.13 seconds
