
Retain class distribution for seed 10:
Class 0: 4500
Class 1: 4500
Class 2: 4500
Class 3: 4500
Class 4: 4500
Class 5: 4500
Class 6: 4500
Class 7: 4500
Class 8: 4500
Class 9: 4500

Forget class distribution for seed 10:
Class 0: 500
Class 1: 500
Class 2: 500
Class 3: 500
Class 4: 500
Class 5: 500
Class 6: 500
Class 7: 500
Class 8: 500
Class 9: 500

Updated class distribution:
Retain set:
  Class 0: 4875
  Class 1: 4875
  Class 2: 4875
  Class 3: 4875
  Class 4: 4875
  Class 5: 4875
  Class 6: 4875
  Class 7: 4875
  Class 8: 4875
  Class 9: 4875
Forget set:
  Class 0: 125
  Class 1: 125
  Class 2: 125
  Class 3: 125
  Class 4: 125
  Class 5: 125
  Class 6: 125
  Class 7: 125
  Class 8: 125
  Class 9: 125
⚠️ Warning: Retain train loader may not be shuffled.
Training Epoch: 1 [256/48750]	Loss: 2.3964	LR: 0.000000
Training Epoch: 1 [512/48750]	Loss: 2.3642	LR: 0.000524
Training Epoch: 1 [768/48750]	Loss: 2.3298	LR: 0.001047
Training Epoch: 1 [1024/48750]	Loss: 2.3501	LR: 0.001571
Training Epoch: 1 [1280/48750]	Loss: 2.3321	LR: 0.002094
Training Epoch: 1 [1536/48750]	Loss: 2.2789	LR: 0.002618
Training Epoch: 1 [1792/48750]	Loss: 2.2547	LR: 0.003141
Training Epoch: 1 [2048/48750]	Loss: 2.2309	LR: 0.003665
Training Epoch: 1 [2304/48750]	Loss: 2.2683	LR: 0.004188
Training Epoch: 1 [2560/48750]	Loss: 2.2219	LR: 0.004712
Training Epoch: 1 [2816/48750]	Loss: 2.2995	LR: 0.005236
Training Epoch: 1 [3072/48750]	Loss: 2.1232	LR: 0.005759
Training Epoch: 1 [3328/48750]	Loss: 2.0427	LR: 0.006283
Training Epoch: 1 [3584/48750]	Loss: 2.1278	LR: 0.006806
Training Epoch: 1 [3840/48750]	Loss: 2.0843	LR: 0.007330
Training Epoch: 1 [4096/48750]	Loss: 2.0231	LR: 0.007853
Training Epoch: 1 [4352/48750]	Loss: 2.0262	LR: 0.008377
Training Epoch: 1 [4608/48750]	Loss: 1.9592	LR: 0.008901
Training Epoch: 1 [4864/48750]	Loss: 2.0361	LR: 0.009424
Training Epoch: 1 [5120/48750]	Loss: 1.8506	LR: 0.009948
Training Epoch: 1 [5376/48750]	Loss: 1.9300	LR: 0.010471
Training Epoch: 1 [5632/48750]	Loss: 1.9584	LR: 0.010995
Training Epoch: 1 [5888/48750]	Loss: 1.8727	LR: 0.011518
Training Epoch: 1 [6144/48750]	Loss: 1.9678	LR: 0.012042
Training Epoch: 1 [6400/48750]	Loss: 1.8662	LR: 0.012565
Training Epoch: 1 [6656/48750]	Loss: 2.0032	LR: 0.013089
Training Epoch: 1 [6912/48750]	Loss: 2.0009	LR: 0.013613
Training Epoch: 1 [7168/48750]	Loss: 1.9042	LR: 0.014136
Training Epoch: 1 [7424/48750]	Loss: 1.8703	LR: 0.014660
Training Epoch: 1 [7680/48750]	Loss: 1.8294	LR: 0.015183
Training Epoch: 1 [7936/48750]	Loss: 1.9064	LR: 0.015707
Training Epoch: 1 [8192/48750]	Loss: 1.8428	LR: 0.016230
Training Epoch: 1 [8448/48750]	Loss: 1.7595	LR: 0.016754
Training Epoch: 1 [8704/48750]	Loss: 1.8210	LR: 0.017277
Training Epoch: 1 [8960/48750]	Loss: 1.6319	LR: 0.017801
Training Epoch: 1 [9216/48750]	Loss: 1.7657	LR: 0.018325
Training Epoch: 1 [9472/48750]	Loss: 1.8357	LR: 0.018848
Training Epoch: 1 [9728/48750]	Loss: 1.8240	LR: 0.019372
Training Epoch: 1 [9984/48750]	Loss: 1.7433	LR: 0.019895
Training Epoch: 1 [10240/48750]	Loss: 1.7447	LR: 0.020419
Training Epoch: 1 [10496/48750]	Loss: 1.7797	LR: 0.020942
Training Epoch: 1 [10752/48750]	Loss: 1.7403	LR: 0.021466
Training Epoch: 1 [11008/48750]	Loss: 1.8584	LR: 0.021990
Training Epoch: 1 [11264/48750]	Loss: 1.8585	LR: 0.022513
Training Epoch: 1 [11520/48750]	Loss: 1.6032	LR: 0.023037
Training Epoch: 1 [11776/48750]	Loss: 1.7641	LR: 0.023560
Training Epoch: 1 [12032/48750]	Loss: 1.7958	LR: 0.024084
Training Epoch: 1 [12288/48750]	Loss: 1.7431	LR: 0.024607
Training Epoch: 1 [12544/48750]	Loss: 1.7161	LR: 0.025131
Training Epoch: 1 [12800/48750]	Loss: 1.7270	LR: 0.025654
Training Epoch: 1 [13056/48750]	Loss: 1.7738	LR: 0.026178
Training Epoch: 1 [13312/48750]	Loss: 1.7219	LR: 0.026702
Training Epoch: 1 [13568/48750]	Loss: 1.7273	LR: 0.027225
Training Epoch: 1 [13824/48750]	Loss: 1.8048	LR: 0.027749
Training Epoch: 1 [14080/48750]	Loss: 1.7554	LR: 0.028272
Training Epoch: 1 [14336/48750]	Loss: 1.8156	LR: 0.028796
Training Epoch: 1 [14592/48750]	Loss: 1.7765	LR: 0.029319
Training Epoch: 1 [14848/48750]	Loss: 1.6798	LR: 0.029843
Training Epoch: 1 [15104/48750]	Loss: 1.7395	LR: 0.030366
Training Epoch: 1 [15360/48750]	Loss: 1.9533	LR: 0.030890
Training Epoch: 1 [15616/48750]	Loss: 1.7065	LR: 0.031414
Training Epoch: 1 [15872/48750]	Loss: 1.7562	LR: 0.031937
Training Epoch: 1 [16128/48750]	Loss: 1.8491	LR: 0.032461
Training Epoch: 1 [16384/48750]	Loss: 1.7461	LR: 0.032984
Training Epoch: 1 [16640/48750]	Loss: 1.7273	LR: 0.033508
Training Epoch: 1 [16896/48750]	Loss: 1.7831	LR: 0.034031
Training Epoch: 1 [17152/48750]	Loss: 1.6852	LR: 0.034555
Training Epoch: 1 [17408/48750]	Loss: 1.8641	LR: 0.035079
Training Epoch: 1 [17664/48750]	Loss: 1.6418	LR: 0.035602
Training Epoch: 1 [17920/48750]	Loss: 1.6413	LR: 0.036126
Training Epoch: 1 [18176/48750]	Loss: 1.6334	LR: 0.036649
Training Epoch: 1 [18432/48750]	Loss: 1.8822	LR: 0.037173
Training Epoch: 1 [18688/48750]	Loss: 1.7852	LR: 0.037696
Training Epoch: 1 [18944/48750]	Loss: 1.7109	LR: 0.038220
Training Epoch: 1 [19200/48750]	Loss: 1.6891	LR: 0.038743
Training Epoch: 1 [19456/48750]	Loss: 1.6924	LR: 0.039267
Training Epoch: 1 [19712/48750]	Loss: 1.6968	LR: 0.039791
Training Epoch: 1 [19968/48750]	Loss: 1.6610	LR: 0.040314
Training Epoch: 1 [20224/48750]	Loss: 1.6268	LR: 0.040838
Training Epoch: 1 [20480/48750]	Loss: 1.7429	LR: 0.041361
Training Epoch: 1 [20736/48750]	Loss: 1.6668	LR: 0.041885
Training Epoch: 1 [20992/48750]	Loss: 1.7350	LR: 0.042408
Training Epoch: 1 [21248/48750]	Loss: 1.6563	LR: 0.042932
Training Epoch: 1 [21504/48750]	Loss: 1.7218	LR: 0.043455
Training Epoch: 1 [21760/48750]	Loss: 1.7405	LR: 0.043979
Training Epoch: 1 [22016/48750]	Loss: 1.7048	LR: 0.044503
Training Epoch: 1 [22272/48750]	Loss: 1.6196	LR: 0.045026
Training Epoch: 1 [22528/48750]	Loss: 1.7120	LR: 0.045550
Training Epoch: 1 [22784/48750]	Loss: 1.5665	LR: 0.046073
Training Epoch: 1 [23040/48750]	Loss: 1.7432	LR: 0.046597
Training Epoch: 1 [23296/48750]	Loss: 1.6691	LR: 0.047120
Training Epoch: 1 [23552/48750]	Loss: 1.5880	LR: 0.047644
Training Epoch: 1 [23808/48750]	Loss: 1.6349	LR: 0.048168
Training Epoch: 1 [24064/48750]	Loss: 1.7204	LR: 0.048691
Training Epoch: 1 [24320/48750]	Loss: 1.4810	LR: 0.049215
Training Epoch: 1 [24576/48750]	Loss: 1.6622	LR: 0.049738
Training Epoch: 1 [24832/48750]	Loss: 1.5231	LR: 0.050262
Training Epoch: 1 [25088/48750]	Loss: 1.6003	LR: 0.050785
Training Epoch: 1 [25344/48750]	Loss: 1.4984	LR: 0.051309
Training Epoch: 1 [25600/48750]	Loss: 1.4162	LR: 0.051832
Training Epoch: 1 [25856/48750]	Loss: 1.6456	LR: 0.052356
Training Epoch: 1 [26112/48750]	Loss: 1.7125	LR: 0.052880
Training Epoch: 1 [26368/48750]	Loss: 1.5687	LR: 0.053403
Training Epoch: 1 [26624/48750]	Loss: 1.8366	LR: 0.053927
Training Epoch: 1 [26880/48750]	Loss: 1.4247	LR: 0.054450
Training Epoch: 1 [27136/48750]	Loss: 1.8277	LR: 0.054974
Training Epoch: 1 [27392/48750]	Loss: 1.5456	LR: 0.055497
Training Epoch: 1 [27648/48750]	Loss: 1.5876	LR: 0.056021
Training Epoch: 1 [27904/48750]	Loss: 1.5174	LR: 0.056545
Training Epoch: 1 [28160/48750]	Loss: 1.6665	LR: 0.057068
Training Epoch: 1 [28416/48750]	Loss: 1.5408	LR: 0.057592
Training Epoch: 1 [28672/48750]	Loss: 1.5508	LR: 0.058115
Training Epoch: 1 [28928/48750]	Loss: 1.3366	LR: 0.058639
Training Epoch: 1 [29184/48750]	Loss: 1.5644	LR: 0.059162
Training Epoch: 1 [29440/48750]	Loss: 1.5177	LR: 0.059686
Training Epoch: 1 [29696/48750]	Loss: 1.5859	LR: 0.060209
Training Epoch: 1 [29952/48750]	Loss: 1.6296	LR: 0.060733
Training Epoch: 1 [30208/48750]	Loss: 1.5491	LR: 0.061257
Training Epoch: 1 [30464/48750]	Loss: 1.4389	LR: 0.061780
Training Epoch: 1 [30720/48750]	Loss: 1.5785	LR: 0.062304
Training Epoch: 1 [30976/48750]	Loss: 1.8589	LR: 0.062827
Training Epoch: 1 [31232/48750]	Loss: 1.9553	LR: 0.063351
Training Epoch: 1 [31488/48750]	Loss: 1.5287	LR: 0.063874
Training Epoch: 1 [31744/48750]	Loss: 1.7537	LR: 0.064398
Training Epoch: 1 [32000/48750]	Loss: 1.7770	LR: 0.064921
Training Epoch: 1 [32256/48750]	Loss: 1.4667	LR: 0.065445
Training Epoch: 1 [32512/48750]	Loss: 1.7223	LR: 0.065969
Training Epoch: 1 [32768/48750]	Loss: 1.5166	LR: 0.066492
Training Epoch: 1 [33024/48750]	Loss: 1.5459	LR: 0.067016
Training Epoch: 1 [33280/48750]	Loss: 1.8081	LR: 0.067539
Training Epoch: 1 [33536/48750]	Loss: 1.8845	LR: 0.068063
Training Epoch: 1 [33792/48750]	Loss: 1.5273	LR: 0.068586
Training Epoch: 1 [34048/48750]	Loss: 1.4780	LR: 0.069110
Training Epoch: 1 [34304/48750]	Loss: 1.4878	LR: 0.069634
Training Epoch: 1 [34560/48750]	Loss: 1.4660	LR: 0.070157
Training Epoch: 1 [34816/48750]	Loss: 1.6333	LR: 0.070681
Training Epoch: 1 [35072/48750]	Loss: 1.4554	LR: 0.071204
Training Epoch: 1 [35328/48750]	Loss: 1.4686	LR: 0.071728
Training Epoch: 1 [35584/48750]	Loss: 1.5031	LR: 0.072251
Training Epoch: 1 [35840/48750]	Loss: 1.5356	LR: 0.072775
Training Epoch: 1 [36096/48750]	Loss: 1.8475	LR: 0.073298
Training Epoch: 1 [36352/48750]	Loss: 1.7273	LR: 0.073822
Training Epoch: 1 [36608/48750]	Loss: 1.8662	LR: 0.074346
Training Epoch: 1 [36864/48750]	Loss: 1.6332	LR: 0.074869
Training Epoch: 1 [37120/48750]	Loss: 1.7741	LR: 0.075393
Training Epoch: 1 [37376/48750]	Loss: 1.9428	LR: 0.075916
Training Epoch: 1 [37632/48750]	Loss: 1.5976	LR: 0.076440
Training Epoch: 1 [37888/48750]	Loss: 1.8796	LR: 0.076963
Training Epoch: 1 [38144/48750]	Loss: 1.8657	LR: 0.077487
Training Epoch: 1 [38400/48750]	Loss: 1.5860	LR: 0.078010
Training Epoch: 1 [38656/48750]	Loss: 1.8287	LR: 0.078534
Training Epoch: 1 [38912/48750]	Loss: 1.9260	LR: 0.079058
Training Epoch: 1 [39168/48750]	Loss: 1.5306	LR: 0.079581
Training Epoch: 1 [39424/48750]	Loss: 1.7150	LR: 0.080105
Training Epoch: 1 [39680/48750]	Loss: 1.8171	LR: 0.080628
Training Epoch: 1 [39936/48750]	Loss: 1.5009	LR: 0.081152
Training Epoch: 1 [40192/48750]	Loss: 1.5785	LR: 0.081675
Training Epoch: 1 [40448/48750]	Loss: 1.6242	LR: 0.082199
Training Epoch: 1 [40704/48750]	Loss: 1.8401	LR: 0.082723
Training Epoch: 1 [40960/48750]	Loss: 1.6674	LR: 0.083246
Training Epoch: 1 [41216/48750]	Loss: 1.4687	LR: 0.083770
Training Epoch: 1 [41472/48750]	Loss: 1.5575	LR: 0.084293
Training Epoch: 1 [41728/48750]	Loss: 1.7497	LR: 0.084817
Training Epoch: 1 [41984/48750]	Loss: 1.6187	LR: 0.085340
Training Epoch: 1 [42240/48750]	Loss: 1.6447	LR: 0.085864
Training Epoch: 1 [42496/48750]	Loss: 1.6271	LR: 0.086387
Training Epoch: 1 [42752/48750]	Loss: 1.6989	LR: 0.086911
Training Epoch: 1 [43008/48750]	Loss: 1.3973	LR: 0.087435
Training Epoch: 1 [43264/48750]	Loss: 1.3744	LR: 0.087958
Training Epoch: 1 [43520/48750]	Loss: 1.4021	LR: 0.088482
Training Epoch: 1 [43776/48750]	Loss: 1.5397	LR: 0.089005
Training Epoch: 1 [44032/48750]	Loss: 1.4840	LR: 0.089529
Training Epoch: 1 [44288/48750]	Loss: 1.4811	LR: 0.090052
Training Epoch: 1 [44544/48750]	Loss: 1.4720	LR: 0.090576
Training Epoch: 1 [44800/48750]	Loss: 1.4786	LR: 0.091099
Training Epoch: 1 [45056/48750]	Loss: 1.4230	LR: 0.091623
Training Epoch: 1 [45312/48750]	Loss: 1.4743	LR: 0.092147
Training Epoch: 1 [45568/48750]	Loss: 1.4097	LR: 0.092670
Training Epoch: 1 [45824/48750]	Loss: 1.3496	LR: 0.093194
Training Epoch: 1 [46080/48750]	Loss: 1.4395	LR: 0.093717
Training Epoch: 1 [46336/48750]	Loss: 1.7295	LR: 0.094241
Training Epoch: 1 [46592/48750]	Loss: 1.6740	LR: 0.094764
Training Epoch: 1 [46848/48750]	Loss: 1.3634	LR: 0.095288
Training Epoch: 1 [47104/48750]	Loss: 1.7399	LR: 0.095812
Training Epoch: 1 [47360/48750]	Loss: 1.7646	LR: 0.096335
Training Epoch: 1 [47616/48750]	Loss: 1.4652	LR: 0.096859
Training Epoch: 1 [47872/48750]	Loss: 1.3668	LR: 0.097382
Training Epoch: 1 [48128/48750]	Loss: 1.6390	LR: 0.097906
Training Epoch: 1 [48384/48750]	Loss: 1.5780	LR: 0.098429
Training Epoch: 1 [48640/48750]	Loss: 1.5842	LR: 0.098953
Training Epoch: 1 [48750/48750]	Loss: 1.2428	LR: 0.099476
Epoch 1 - Average Train Loss: 1.7249, Train Accuracy: 0.3772
Epoch 1 training time consumed: 30.36s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0064, Accuracy: 0.4492, Time consumed:1.03s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_23_September_2025_00h_21m_37s/ResNet18-Cifar10-seed10-ret75-1-best.pth
Training Epoch: 2 [256/48750]	Loss: 1.4788	LR: 0.100000
Training Epoch: 2 [512/48750]	Loss: 1.2931	LR: 0.100000
Training Epoch: 2 [768/48750]	Loss: 1.5083	LR: 0.100000
Training Epoch: 2 [1024/48750]	Loss: 1.4678	LR: 0.100000
Training Epoch: 2 [1280/48750]	Loss: 1.5014	LR: 0.100000
Training Epoch: 2 [1536/48750]	Loss: 1.4936	LR: 0.100000
Training Epoch: 2 [1792/48750]	Loss: 1.2882	LR: 0.100000
Training Epoch: 2 [2048/48750]	Loss: 1.4207	LR: 0.100000
Training Epoch: 2 [2304/48750]	Loss: 1.4092	LR: 0.100000
Training Epoch: 2 [2560/48750]	Loss: 1.3303	LR: 0.100000
Training Epoch: 2 [2816/48750]	Loss: 1.3478	LR: 0.100000
Training Epoch: 2 [3072/48750]	Loss: 1.3698	LR: 0.100000
Training Epoch: 2 [3328/48750]	Loss: 1.4537	LR: 0.100000
Training Epoch: 2 [3584/48750]	Loss: 1.3272	LR: 0.100000
Training Epoch: 2 [3840/48750]	Loss: 1.3267	LR: 0.100000
Training Epoch: 2 [4096/48750]	Loss: 1.3416	LR: 0.100000
Training Epoch: 2 [4352/48750]	Loss: 1.3996	LR: 0.100000
Training Epoch: 2 [4608/48750]	Loss: 1.3511	LR: 0.100000
Training Epoch: 2 [4864/48750]	Loss: 1.3361	LR: 0.100000
Training Epoch: 2 [5120/48750]	Loss: 1.4360	LR: 0.100000
Training Epoch: 2 [5376/48750]	Loss: 1.2137	LR: 0.100000
Training Epoch: 2 [5632/48750]	Loss: 1.2067	LR: 0.100000
Training Epoch: 2 [5888/48750]	Loss: 1.3360	LR: 0.100000
Training Epoch: 2 [6144/48750]	Loss: 1.5123	LR: 0.100000
Training Epoch: 2 [6400/48750]	Loss: 1.3238	LR: 0.100000
Training Epoch: 2 [6656/48750]	Loss: 1.2605	LR: 0.100000
Training Epoch: 2 [6912/48750]	Loss: 1.4839	LR: 0.100000
Training Epoch: 2 [7168/48750]	Loss: 1.3844	LR: 0.100000
Training Epoch: 2 [7424/48750]	Loss: 1.3183	LR: 0.100000
Training Epoch: 2 [7680/48750]	Loss: 1.5304	LR: 0.100000
Training Epoch: 2 [7936/48750]	Loss: 1.4424	LR: 0.100000
Training Epoch: 2 [8192/48750]	Loss: 1.3832	LR: 0.100000
Training Epoch: 2 [8448/48750]	Loss: 1.4364	LR: 0.100000
Training Epoch: 2 [8704/48750]	Loss: 1.3244	LR: 0.100000
Training Epoch: 2 [8960/48750]	Loss: 1.4033	LR: 0.100000
Training Epoch: 2 [9216/48750]	Loss: 1.4175	LR: 0.100000
Training Epoch: 2 [9472/48750]	Loss: 1.2686	LR: 0.100000
Training Epoch: 2 [9728/48750]	Loss: 1.3102	LR: 0.100000
Training Epoch: 2 [9984/48750]	Loss: 1.2695	LR: 0.100000
Training Epoch: 2 [10240/48750]	Loss: 1.3029	LR: 0.100000
Training Epoch: 2 [10496/48750]	Loss: 1.2673	LR: 0.100000
Training Epoch: 2 [10752/48750]	Loss: 1.1982	LR: 0.100000
Training Epoch: 2 [11008/48750]	Loss: 1.3358	LR: 0.100000
Training Epoch: 2 [11264/48750]	Loss: 1.2546	LR: 0.100000
Training Epoch: 2 [11520/48750]	Loss: 1.2204	LR: 0.100000
Training Epoch: 2 [11776/48750]	Loss: 1.2552	LR: 0.100000
Training Epoch: 2 [12032/48750]	Loss: 1.2194	LR: 0.100000
Training Epoch: 2 [12288/48750]	Loss: 1.3603	LR: 0.100000
Training Epoch: 2 [12544/48750]	Loss: 1.3242	LR: 0.100000
Training Epoch: 2 [12800/48750]	Loss: 1.3964	LR: 0.100000
Training Epoch: 2 [13056/48750]	Loss: 1.2387	LR: 0.100000
Training Epoch: 2 [13312/48750]	Loss: 1.2675	LR: 0.100000
Training Epoch: 2 [13568/48750]	Loss: 1.3500	LR: 0.100000
Training Epoch: 2 [13824/48750]	Loss: 1.2393	LR: 0.100000
Training Epoch: 2 [14080/48750]	Loss: 1.1287	LR: 0.100000
Training Epoch: 2 [14336/48750]	Loss: 1.2963	LR: 0.100000
Training Epoch: 2 [14592/48750]	Loss: 1.2121	LR: 0.100000
Training Epoch: 2 [14848/48750]	Loss: 1.1690	LR: 0.100000
Training Epoch: 2 [15104/48750]	Loss: 1.2301	LR: 0.100000
Training Epoch: 2 [15360/48750]	Loss: 1.2532	LR: 0.100000
Training Epoch: 2 [15616/48750]	Loss: 1.2145	LR: 0.100000
Training Epoch: 2 [15872/48750]	Loss: 1.2436	LR: 0.100000
Training Epoch: 2 [16128/48750]	Loss: 1.2183	LR: 0.100000
Training Epoch: 2 [16384/48750]	Loss: 1.2002	LR: 0.100000
Training Epoch: 2 [16640/48750]	Loss: 1.2260	LR: 0.100000
Training Epoch: 2 [16896/48750]	Loss: 1.3023	LR: 0.100000
Training Epoch: 2 [17152/48750]	Loss: 1.1483	LR: 0.100000
Training Epoch: 2 [17408/48750]	Loss: 1.2298	LR: 0.100000
Training Epoch: 2 [17664/48750]	Loss: 1.1897	LR: 0.100000
Training Epoch: 2 [17920/48750]	Loss: 1.1346	LR: 0.100000
Training Epoch: 2 [18176/48750]	Loss: 1.3070	LR: 0.100000
Training Epoch: 2 [18432/48750]	Loss: 1.1974	LR: 0.100000
Training Epoch: 2 [18688/48750]	Loss: 1.1655	LR: 0.100000
Training Epoch: 2 [18944/48750]	Loss: 1.1664	LR: 0.100000
Training Epoch: 2 [19200/48750]	Loss: 1.1725	LR: 0.100000
Training Epoch: 2 [19456/48750]	Loss: 1.1104	LR: 0.100000
Training Epoch: 2 [19712/48750]	Loss: 1.1821	LR: 0.100000
Training Epoch: 2 [19968/48750]	Loss: 1.1354	LR: 0.100000
Training Epoch: 2 [20224/48750]	Loss: 1.0897	LR: 0.100000
Training Epoch: 2 [20480/48750]	Loss: 1.0491	LR: 0.100000
Training Epoch: 2 [20736/48750]	Loss: 1.0562	LR: 0.100000
Training Epoch: 2 [20992/48750]	Loss: 1.3544	LR: 0.100000
Training Epoch: 2 [21248/48750]	Loss: 1.1543	LR: 0.100000
Training Epoch: 2 [21504/48750]	Loss: 1.0794	LR: 0.100000
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Training Epoch: 2 [47616/48750]	Loss: 0.9406	LR: 0.100000
Training Epoch: 2 [47872/48750]	Loss: 1.0304	LR: 0.100000
Training Epoch: 2 [48128/48750]	Loss: 0.9345	LR: 0.100000
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Training Epoch: 2 [48640/48750]	Loss: 0.9994	LR: 0.100000
Training Epoch: 2 [48750/48750]	Loss: 1.0604	LR: 0.100000
Epoch 2 - Average Train Loss: 1.1749, Train Accuracy: 0.5790
Epoch 2 training time consumed: 29.95s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0043, Accuracy: 0.6271, Time consumed:1.02s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_23_September_2025_00h_21m_37s/ResNet18-Cifar10-seed10-ret75-2-best.pth
Training Epoch: 3 [256/48750]	Loss: 0.8701	LR: 0.100000
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Training Epoch: 3 [48128/48750]	Loss: 0.8661	LR: 0.100000
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Training Epoch: 3 [48640/48750]	Loss: 0.8403	LR: 0.100000
Training Epoch: 3 [48750/48750]	Loss: 0.8139	LR: 0.100000
Epoch 3 - Average Train Loss: 0.9120, Train Accuracy: 0.6771
Epoch 3 training time consumed: 29.86s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0035, Accuracy: 0.6914, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_23_September_2025_00h_21m_37s/ResNet18-Cifar10-seed10-ret75-3-best.pth
Training Epoch: 4 [256/48750]	Loss: 0.7874	LR: 0.100000
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Training Epoch: 4 [47616/48750]	Loss: 0.8582	LR: 0.100000
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Training Epoch: 4 [48640/48750]	Loss: 0.7933	LR: 0.100000
Training Epoch: 4 [48750/48750]	Loss: 0.6082	LR: 0.100000
Epoch 4 - Average Train Loss: 0.7840, Train Accuracy: 0.7259
Epoch 4 training time consumed: 30.34s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0037, Accuracy: 0.6896, Time consumed:0.98s
Training Epoch: 5 [256/48750]	Loss: 0.7473	LR: 0.100000
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Training Epoch: 5 [48640/48750]	Loss: 0.5192	LR: 0.100000
Training Epoch: 5 [48750/48750]	Loss: 0.7649	LR: 0.100000
Epoch 5 - Average Train Loss: 0.6933, Train Accuracy: 0.7583
Epoch 5 training time consumed: 30.17s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0028, Accuracy: 0.7602, Time consumed:1.00s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_23_September_2025_00h_21m_37s/ResNet18-Cifar10-seed10-ret75-5-best.pth
Training Epoch: 6 [256/48750]	Loss: 0.6019	LR: 0.100000
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Training Epoch: 6 [45056/48750]	Loss: 0.6439	LR: 0.100000
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Training Epoch: 6 [47104/48750]	Loss: 0.7022	LR: 0.100000
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Training Epoch: 6 [47872/48750]	Loss: 0.6713	LR: 0.100000
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Training Epoch: 6 [48640/48750]	Loss: 0.5327	LR: 0.100000
Training Epoch: 6 [48750/48750]	Loss: 0.5734	LR: 0.100000
Epoch 6 - Average Train Loss: 0.6302, Train Accuracy: 0.7812
Epoch 6 training time consumed: 30.14s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0030, Accuracy: 0.7563, Time consumed:0.99s
Training Epoch: 7 [256/48750]	Loss: 0.5487	LR: 0.100000
Training Epoch: 7 [512/48750]	Loss: 0.6297	LR: 0.100000
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Training Epoch: 7 [1024/48750]	Loss: 0.4986	LR: 0.100000
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Training Epoch: 7 [3072/48750]	Loss: 0.5893	LR: 0.100000
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Training Epoch: 7 [48128/48750]	Loss: 0.5801	LR: 0.100000
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Training Epoch: 7 [48640/48750]	Loss: 0.5612	LR: 0.100000
Training Epoch: 7 [48750/48750]	Loss: 0.4693	LR: 0.100000
Epoch 7 - Average Train Loss: 0.5818, Train Accuracy: 0.7981
Epoch 7 training time consumed: 30.41s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0024, Accuracy: 0.8014, Time consumed:1.04s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_23_September_2025_00h_21m_37s/ResNet18-Cifar10-seed10-ret75-7-best.pth
Training Epoch: 8 [256/48750]	Loss: 0.5286	LR: 0.020000
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Training Epoch: 8 [28928/48750]	Loss: 0.4003	LR: 0.020000
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Training Epoch: 8 [45056/48750]	Loss: 0.4955	LR: 0.020000
Training Epoch: 8 [45312/48750]	Loss: 0.3682	LR: 0.020000
Training Epoch: 8 [45568/48750]	Loss: 0.4346	LR: 0.020000
Training Epoch: 8 [45824/48750]	Loss: 0.3773	LR: 0.020000
Training Epoch: 8 [46080/48750]	Loss: 0.3864	LR: 0.020000
Training Epoch: 8 [46336/48750]	Loss: 0.4155	LR: 0.020000
Training Epoch: 8 [46592/48750]	Loss: 0.4142	LR: 0.020000
Training Epoch: 8 [46848/48750]	Loss: 0.4106	LR: 0.020000
Training Epoch: 8 [47104/48750]	Loss: 0.4144	LR: 0.020000
Training Epoch: 8 [47360/48750]	Loss: 0.4436	LR: 0.020000
Training Epoch: 8 [47616/48750]	Loss: 0.3242	LR: 0.020000
Training Epoch: 8 [47872/48750]	Loss: 0.3730	LR: 0.020000
Training Epoch: 8 [48128/48750]	Loss: 0.3645	LR: 0.020000
Training Epoch: 8 [48384/48750]	Loss: 0.3357	LR: 0.020000
Training Epoch: 8 [48640/48750]	Loss: 0.3667	LR: 0.020000
Training Epoch: 8 [48750/48750]	Loss: 0.3751	LR: 0.020000
Epoch 8 - Average Train Loss: 0.4321, Train Accuracy: 0.8499
Epoch 8 training time consumed: 30.27s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0016, Accuracy: 0.8611, Time consumed:0.98s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_23_September_2025_00h_21m_37s/ResNet18-Cifar10-seed10-ret75-8-best.pth
Training Epoch: 9 [256/48750]	Loss: 0.3597	LR: 0.020000
Training Epoch: 9 [512/48750]	Loss: 0.4459	LR: 0.020000
Training Epoch: 9 [768/48750]	Loss: 0.3789	LR: 0.020000
Training Epoch: 9 [1024/48750]	Loss: 0.3919	LR: 0.020000
Training Epoch: 9 [1280/48750]	Loss: 0.3702	LR: 0.020000
Training Epoch: 9 [1536/48750]	Loss: 0.4363	LR: 0.020000
Training Epoch: 9 [1792/48750]	Loss: 0.3935	LR: 0.020000
Training Epoch: 9 [2048/48750]	Loss: 0.4311	LR: 0.020000
Training Epoch: 9 [2304/48750]	Loss: 0.4317	LR: 0.020000
Training Epoch: 9 [2560/48750]	Loss: 0.2807	LR: 0.020000
Training Epoch: 9 [2816/48750]	Loss: 0.4300	LR: 0.020000
Training Epoch: 9 [3072/48750]	Loss: 0.5299	LR: 0.020000
Training Epoch: 9 [3328/48750]	Loss: 0.3653	LR: 0.020000
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Training Epoch: 9 [4608/48750]	Loss: 0.4128	LR: 0.020000
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Training Epoch: 9 [40192/48750]	Loss: 0.3678	LR: 0.020000
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Training Epoch: 9 [45056/48750]	Loss: 0.3436	LR: 0.020000
Training Epoch: 9 [45312/48750]	Loss: 0.3544	LR: 0.020000
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Training Epoch: 9 [45824/48750]	Loss: 0.3764	LR: 0.020000
Training Epoch: 9 [46080/48750]	Loss: 0.3827	LR: 0.020000
Training Epoch: 9 [46336/48750]	Loss: 0.3814	LR: 0.020000
Training Epoch: 9 [46592/48750]	Loss: 0.3441	LR: 0.020000
Training Epoch: 9 [46848/48750]	Loss: 0.3625	LR: 0.020000
Training Epoch: 9 [47104/48750]	Loss: 0.3064	LR: 0.020000
Training Epoch: 9 [47360/48750]	Loss: 0.3884	LR: 0.020000
Training Epoch: 9 [47616/48750]	Loss: 0.4193	LR: 0.020000
Training Epoch: 9 [47872/48750]	Loss: 0.4235	LR: 0.020000
Training Epoch: 9 [48128/48750]	Loss: 0.4401	LR: 0.020000
Training Epoch: 9 [48384/48750]	Loss: 0.4294	LR: 0.020000
Training Epoch: 9 [48640/48750]	Loss: 0.3725	LR: 0.020000
Training Epoch: 9 [48750/48750]	Loss: 0.5765	LR: 0.020000
Epoch 9 - Average Train Loss: 0.3878, Train Accuracy: 0.8650
Epoch 9 training time consumed: 30.28s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0016, Accuracy: 0.8661, Time consumed:0.98s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_23_September_2025_00h_21m_37s/ResNet18-Cifar10-seed10-ret75-9-best.pth
Training Epoch: 10 [256/48750]	Loss: 0.3037	LR: 0.020000
Training Epoch: 10 [512/48750]	Loss: 0.2573	LR: 0.020000
Training Epoch: 10 [768/48750]	Loss: 0.3563	LR: 0.020000
Training Epoch: 10 [1024/48750]	Loss: 0.3953	LR: 0.020000
Training Epoch: 10 [1280/48750]	Loss: 0.3496	LR: 0.020000
Training Epoch: 10 [1536/48750]	Loss: 0.3210	LR: 0.020000
Training Epoch: 10 [1792/48750]	Loss: 0.3355	LR: 0.020000
Training Epoch: 10 [2048/48750]	Loss: 0.4112	LR: 0.020000
Training Epoch: 10 [2304/48750]	Loss: 0.4057	LR: 0.020000
Training Epoch: 10 [2560/48750]	Loss: 0.4045	LR: 0.020000
Training Epoch: 10 [2816/48750]	Loss: 0.4395	LR: 0.020000
Training Epoch: 10 [3072/48750]	Loss: 0.3062	LR: 0.020000
Training Epoch: 10 [3328/48750]	Loss: 0.3467	LR: 0.020000
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Training Epoch: 10 [46592/48750]	Loss: 0.4046	LR: 0.020000
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Training Epoch: 10 [47104/48750]	Loss: 0.3190	LR: 0.020000
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Training Epoch: 10 [47616/48750]	Loss: 0.2922	LR: 0.020000
Training Epoch: 10 [47872/48750]	Loss: 0.3829	LR: 0.020000
Training Epoch: 10 [48128/48750]	Loss: 0.4715	LR: 0.020000
Training Epoch: 10 [48384/48750]	Loss: 0.4231	LR: 0.020000
Training Epoch: 10 [48640/48750]	Loss: 0.3722	LR: 0.020000
Training Epoch: 10 [48750/48750]	Loss: 0.3354	LR: 0.020000
Epoch 10 - Average Train Loss: 0.3670, Train Accuracy: 0.8723
Epoch 10 training time consumed: 29.99s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0015, Accuracy: 0.8732, Time consumed:0.99s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_23_September_2025_00h_21m_37s/ResNet18-Cifar10-seed10-ret75-10-best.pth
Training Epoch: 11 [256/48750]	Loss: 0.3851	LR: 0.020000
Training Epoch: 11 [512/48750]	Loss: 0.2733	LR: 0.020000
Training Epoch: 11 [768/48750]	Loss: 0.3396	LR: 0.020000
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Training Epoch: 11 [1536/48750]	Loss: 0.4043	LR: 0.020000
Training Epoch: 11 [1792/48750]	Loss: 0.4522	LR: 0.020000
Training Epoch: 11 [2048/48750]	Loss: 0.3413	LR: 0.020000
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Training Epoch: 11 [3840/48750]	Loss: 0.3432	LR: 0.020000
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Training Epoch: 11 [4352/48750]	Loss: 0.3246	LR: 0.020000
Training Epoch: 11 [4608/48750]	Loss: 0.3741	LR: 0.020000
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Training Epoch: 11 [5376/48750]	Loss: 0.3298	LR: 0.020000
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Training Epoch: 11 [6144/48750]	Loss: 0.3544	LR: 0.020000
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Training Epoch: 11 [8448/48750]	Loss: 0.3447	LR: 0.020000
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Training Epoch: 11 [10496/48750]	Loss: 0.3086	LR: 0.020000
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Training Epoch: 11 [24576/48750]	Loss: 0.3497	LR: 0.020000
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Training Epoch: 11 [27392/48750]	Loss: 0.2849	LR: 0.020000
Training Epoch: 11 [27648/48750]	Loss: 0.3628	LR: 0.020000
Training Epoch: 11 [27904/48750]	Loss: 0.2648	LR: 0.020000
Training Epoch: 11 [28160/48750]	Loss: 0.2779	LR: 0.020000
Training Epoch: 11 [28416/48750]	Loss: 0.3723	LR: 0.020000
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Training Epoch: 11 [29440/48750]	Loss: 0.3335	LR: 0.020000
Training Epoch: 11 [29696/48750]	Loss: 0.3459	LR: 0.020000
Training Epoch: 11 [29952/48750]	Loss: 0.4369	LR: 0.020000
Training Epoch: 11 [30208/48750]	Loss: 0.4008	LR: 0.020000
Training Epoch: 11 [30464/48750]	Loss: 0.3582	LR: 0.020000
Training Epoch: 11 [30720/48750]	Loss: 0.3146	LR: 0.020000
Training Epoch: 11 [30976/48750]	Loss: 0.3112	LR: 0.020000
Training Epoch: 11 [31232/48750]	Loss: 0.3327	LR: 0.020000
Training Epoch: 11 [31488/48750]	Loss: 0.3547	LR: 0.020000
Training Epoch: 11 [31744/48750]	Loss: 0.3317	LR: 0.020000
Training Epoch: 11 [32000/48750]	Loss: 0.3791	LR: 0.020000
Training Epoch: 11 [32256/48750]	Loss: 0.3914	LR: 0.020000
Training Epoch: 11 [32512/48750]	Loss: 0.5329	LR: 0.020000
Training Epoch: 11 [32768/48750]	Loss: 0.3087	LR: 0.020000
Training Epoch: 11 [33024/48750]	Loss: 0.3583	LR: 0.020000
Training Epoch: 11 [33280/48750]	Loss: 0.2922	LR: 0.020000
Training Epoch: 11 [33536/48750]	Loss: 0.3643	LR: 0.020000
Training Epoch: 11 [33792/48750]	Loss: 0.3325	LR: 0.020000
Training Epoch: 11 [34048/48750]	Loss: 0.3261	LR: 0.020000
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Training Epoch: 11 [34560/48750]	Loss: 0.2969	LR: 0.020000
Training Epoch: 11 [34816/48750]	Loss: 0.2772	LR: 0.020000
Training Epoch: 11 [35072/48750]	Loss: 0.2594	LR: 0.020000
Training Epoch: 11 [35328/48750]	Loss: 0.4218	LR: 0.020000
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Training Epoch: 11 [35840/48750]	Loss: 0.3851	LR: 0.020000
Training Epoch: 11 [36096/48750]	Loss: 0.3028	LR: 0.020000
Training Epoch: 11 [36352/48750]	Loss: 0.3185	LR: 0.020000
Training Epoch: 11 [36608/48750]	Loss: 0.3557	LR: 0.020000
Training Epoch: 11 [36864/48750]	Loss: 0.3683	LR: 0.020000
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Training Epoch: 11 [37376/48750]	Loss: 0.3488	LR: 0.020000
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Training Epoch: 11 [38656/48750]	Loss: 0.3472	LR: 0.020000
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Training Epoch: 11 [43008/48750]	Loss: 0.3285	LR: 0.020000
Training Epoch: 11 [43264/48750]	Loss: 0.2893	LR: 0.020000
Training Epoch: 11 [43520/48750]	Loss: 0.3911	LR: 0.020000
Training Epoch: 11 [43776/48750]	Loss: 0.4190	LR: 0.020000
Training Epoch: 11 [44032/48750]	Loss: 0.3774	LR: 0.020000
Training Epoch: 11 [44288/48750]	Loss: 0.2993	LR: 0.020000
Training Epoch: 11 [44544/48750]	Loss: 0.2699	LR: 0.020000
Training Epoch: 11 [44800/48750]	Loss: 0.3302	LR: 0.020000
Training Epoch: 11 [45056/48750]	Loss: 0.3015	LR: 0.020000
Training Epoch: 11 [45312/48750]	Loss: 0.3169	LR: 0.020000
Training Epoch: 11 [45568/48750]	Loss: 0.3378	LR: 0.020000
Training Epoch: 11 [45824/48750]	Loss: 0.3202	LR: 0.020000
Training Epoch: 11 [46080/48750]	Loss: 0.3403	LR: 0.020000
Training Epoch: 11 [46336/48750]	Loss: 0.4165	LR: 0.020000
Training Epoch: 11 [46592/48750]	Loss: 0.3690	LR: 0.020000
Training Epoch: 11 [46848/48750]	Loss: 0.3298	LR: 0.020000
Training Epoch: 11 [47104/48750]	Loss: 0.3006	LR: 0.020000
Training Epoch: 11 [47360/48750]	Loss: 0.3522	LR: 0.020000
Training Epoch: 11 [47616/48750]	Loss: 0.3906	LR: 0.020000
Training Epoch: 11 [47872/48750]	Loss: 0.3062	LR: 0.020000
Training Epoch: 11 [48128/48750]	Loss: 0.4340	LR: 0.020000
Training Epoch: 11 [48384/48750]	Loss: 0.4243	LR: 0.020000
Training Epoch: 11 [48640/48750]	Loss: 0.3217	LR: 0.020000
Training Epoch: 11 [48750/48750]	Loss: 0.3641	LR: 0.020000
Epoch 11 - Average Train Loss: 0.3525, Train Accuracy: 0.8781
Epoch 11 training time consumed: 30.04s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0015, Accuracy: 0.8716, Time consumed:1.00s
Training Epoch: 12 [256/48750]	Loss: 0.4492	LR: 0.004000
Training Epoch: 12 [512/48750]	Loss: 0.2893	LR: 0.004000
Training Epoch: 12 [768/48750]	Loss: 0.2883	LR: 0.004000
Training Epoch: 12 [1024/48750]	Loss: 0.3275	LR: 0.004000
Training Epoch: 12 [1280/48750]	Loss: 0.3234	LR: 0.004000
Training Epoch: 12 [1536/48750]	Loss: 0.3154	LR: 0.004000
Training Epoch: 12 [1792/48750]	Loss: 0.2982	LR: 0.004000
Training Epoch: 12 [2048/48750]	Loss: 0.3610	LR: 0.004000
Training Epoch: 12 [2304/48750]	Loss: 0.2500	LR: 0.004000
Training Epoch: 12 [2560/48750]	Loss: 0.3216	LR: 0.004000
Training Epoch: 12 [2816/48750]	Loss: 0.3771	LR: 0.004000
Training Epoch: 12 [3072/48750]	Loss: 0.3876	LR: 0.004000
Training Epoch: 12 [3328/48750]	Loss: 0.2959	LR: 0.004000
Training Epoch: 12 [3584/48750]	Loss: 0.3590	LR: 0.004000
Training Epoch: 12 [3840/48750]	Loss: 0.3184	LR: 0.004000
Training Epoch: 12 [4096/48750]	Loss: 0.3343	LR: 0.004000
Training Epoch: 12 [4352/48750]	Loss: 0.2966	LR: 0.004000
Training Epoch: 12 [4608/48750]	Loss: 0.3548	LR: 0.004000
Training Epoch: 12 [4864/48750]	Loss: 0.4007	LR: 0.004000
Training Epoch: 12 [5120/48750]	Loss: 0.3612	LR: 0.004000
Training Epoch: 12 [5376/48750]	Loss: 0.2860	LR: 0.004000
Training Epoch: 12 [5632/48750]	Loss: 0.3001	LR: 0.004000
Training Epoch: 12 [5888/48750]	Loss: 0.2754	LR: 0.004000
Training Epoch: 12 [6144/48750]	Loss: 0.3656	LR: 0.004000
Training Epoch: 12 [6400/48750]	Loss: 0.3367	LR: 0.004000
Training Epoch: 12 [6656/48750]	Loss: 0.3112	LR: 0.004000
Training Epoch: 12 [6912/48750]	Loss: 0.3489	LR: 0.004000
Training Epoch: 12 [7168/48750]	Loss: 0.2836	LR: 0.004000
Training Epoch: 12 [7424/48750]	Loss: 0.3211	LR: 0.004000
Training Epoch: 12 [7680/48750]	Loss: 0.3137	LR: 0.004000
Training Epoch: 12 [7936/48750]	Loss: 0.2994	LR: 0.004000
Training Epoch: 12 [8192/48750]	Loss: 0.3259	LR: 0.004000
Training Epoch: 12 [8448/48750]	Loss: 0.3381	LR: 0.004000
Training Epoch: 12 [8704/48750]	Loss: 0.2560	LR: 0.004000
Training Epoch: 12 [8960/48750]	Loss: 0.3151	LR: 0.004000
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Training Epoch: 12 [9472/48750]	Loss: 0.3154	LR: 0.004000
Training Epoch: 12 [9728/48750]	Loss: 0.3423	LR: 0.004000
Training Epoch: 12 [9984/48750]	Loss: 0.2817	LR: 0.004000
Training Epoch: 12 [10240/48750]	Loss: 0.3706	LR: 0.004000
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Training Epoch: 12 [10752/48750]	Loss: 0.2713	LR: 0.004000
Training Epoch: 12 [11008/48750]	Loss: 0.3353	LR: 0.004000
Training Epoch: 12 [11264/48750]	Loss: 0.2828	LR: 0.004000
Training Epoch: 12 [11520/48750]	Loss: 0.2489	LR: 0.004000
Training Epoch: 12 [11776/48750]	Loss: 0.3370	LR: 0.004000
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Training Epoch: 12 [12288/48750]	Loss: 0.3118	LR: 0.004000
Training Epoch: 12 [12544/48750]	Loss: 0.3711	LR: 0.004000
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Training Epoch: 12 [13312/48750]	Loss: 0.2993	LR: 0.004000
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Training Epoch: 12 [15360/48750]	Loss: 0.2256	LR: 0.004000
Training Epoch: 12 [15616/48750]	Loss: 0.2331	LR: 0.004000
Training Epoch: 12 [15872/48750]	Loss: 0.2825	LR: 0.004000
Training Epoch: 12 [16128/48750]	Loss: 0.3116	LR: 0.004000
Training Epoch: 12 [16384/48750]	Loss: 0.2777	LR: 0.004000
Training Epoch: 12 [16640/48750]	Loss: 0.3171	LR: 0.004000
Training Epoch: 12 [16896/48750]	Loss: 0.3085	LR: 0.004000
Training Epoch: 12 [17152/48750]	Loss: 0.2533	LR: 0.004000
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Training Epoch: 12 [18176/48750]	Loss: 0.2831	LR: 0.004000
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Training Epoch: 12 [18944/48750]	Loss: 0.2541	LR: 0.004000
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Training Epoch: 12 [19968/48750]	Loss: 0.2594	LR: 0.004000
Training Epoch: 12 [20224/48750]	Loss: 0.3899	LR: 0.004000
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Training Epoch: 12 [22016/48750]	Loss: 0.3288	LR: 0.004000
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Training Epoch: 12 [25088/48750]	Loss: 0.2991	LR: 0.004000
Training Epoch: 12 [25344/48750]	Loss: 0.3785	LR: 0.004000
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Training Epoch: 12 [25856/48750]	Loss: 0.3021	LR: 0.004000
Training Epoch: 12 [26112/48750]	Loss: 0.3392	LR: 0.004000
Training Epoch: 12 [26368/48750]	Loss: 0.3826	LR: 0.004000
Training Epoch: 12 [26624/48750]	Loss: 0.2644	LR: 0.004000
Training Epoch: 12 [26880/48750]	Loss: 0.3155	LR: 0.004000
Training Epoch: 12 [27136/48750]	Loss: 0.3524	LR: 0.004000
Training Epoch: 12 [27392/48750]	Loss: 0.3351	LR: 0.004000
Training Epoch: 12 [27648/48750]	Loss: 0.3314	LR: 0.004000
Training Epoch: 12 [27904/48750]	Loss: 0.2243	LR: 0.004000
Training Epoch: 12 [28160/48750]	Loss: 0.3040	LR: 0.004000
Training Epoch: 12 [28416/48750]	Loss: 0.3092	LR: 0.004000
Training Epoch: 12 [28672/48750]	Loss: 0.2952	LR: 0.004000
Training Epoch: 12 [28928/48750]	Loss: 0.3087	LR: 0.004000
Training Epoch: 12 [29184/48750]	Loss: 0.2638	LR: 0.004000
Training Epoch: 12 [29440/48750]	Loss: 0.3647	LR: 0.004000
Training Epoch: 12 [29696/48750]	Loss: 0.2216	LR: 0.004000
Training Epoch: 12 [29952/48750]	Loss: 0.3363	LR: 0.004000
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Training Epoch: 12 [30720/48750]	Loss: 0.3162	LR: 0.004000
Training Epoch: 12 [30976/48750]	Loss: 0.2712	LR: 0.004000
Training Epoch: 12 [31232/48750]	Loss: 0.2559	LR: 0.004000
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Training Epoch: 12 [31744/48750]	Loss: 0.2624	LR: 0.004000
Training Epoch: 12 [32000/48750]	Loss: 0.2741	LR: 0.004000
Training Epoch: 12 [32256/48750]	Loss: 0.3873	LR: 0.004000
Training Epoch: 12 [32512/48750]	Loss: 0.2929	LR: 0.004000
Training Epoch: 12 [32768/48750]	Loss: 0.3367	LR: 0.004000
Training Epoch: 12 [33024/48750]	Loss: 0.3445	LR: 0.004000
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Training Epoch: 12 [33536/48750]	Loss: 0.2879	LR: 0.004000
Training Epoch: 12 [33792/48750]	Loss: 0.3286	LR: 0.004000
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Training Epoch: 12 [35840/48750]	Loss: 0.3216	LR: 0.004000
Training Epoch: 12 [36096/48750]	Loss: 0.2712	LR: 0.004000
Training Epoch: 12 [36352/48750]	Loss: 0.2906	LR: 0.004000
Training Epoch: 12 [36608/48750]	Loss: 0.3044	LR: 0.004000
Training Epoch: 12 [36864/48750]	Loss: 0.3000	LR: 0.004000
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Training Epoch: 12 [37376/48750]	Loss: 0.3731	LR: 0.004000
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Training Epoch: 12 [38400/48750]	Loss: 0.3695	LR: 0.004000
Training Epoch: 12 [38656/48750]	Loss: 0.2500	LR: 0.004000
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Training Epoch: 12 [43776/48750]	Loss: 0.3688	LR: 0.004000
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Training Epoch: 12 [45056/48750]	Loss: 0.2868	LR: 0.004000
Training Epoch: 12 [45312/48750]	Loss: 0.3418	LR: 0.004000
Training Epoch: 12 [45568/48750]	Loss: 0.3366	LR: 0.004000
Training Epoch: 12 [45824/48750]	Loss: 0.2769	LR: 0.004000
Training Epoch: 12 [46080/48750]	Loss: 0.2345	LR: 0.004000
Training Epoch: 12 [46336/48750]	Loss: 0.3223	LR: 0.004000
Training Epoch: 12 [46592/48750]	Loss: 0.3846	LR: 0.004000
Training Epoch: 12 [46848/48750]	Loss: 0.3389	LR: 0.004000
Training Epoch: 12 [47104/48750]	Loss: 0.3013	LR: 0.004000
Training Epoch: 12 [47360/48750]	Loss: 0.3250	LR: 0.004000
Training Epoch: 12 [47616/48750]	Loss: 0.2542	LR: 0.004000
Training Epoch: 12 [47872/48750]	Loss: 0.2899	LR: 0.004000
Training Epoch: 12 [48128/48750]	Loss: 0.3428	LR: 0.004000
Training Epoch: 12 [48384/48750]	Loss: 0.2360	LR: 0.004000
Training Epoch: 12 [48640/48750]	Loss: 0.2472	LR: 0.004000
Training Epoch: 12 [48750/48750]	Loss: 0.2976	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3086, Train Accuracy: 0.8933
Epoch 12 training time consumed: 30.18s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0013, Accuracy: 0.8870, Time consumed:1.00s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_23_September_2025_00h_21m_37s/ResNet18-Cifar10-seed10-ret75-12-best.pth
Training Epoch: 13 [256/48750]	Loss: 0.2953	LR: 0.004000
Training Epoch: 13 [512/48750]	Loss: 0.3071	LR: 0.004000
Training Epoch: 13 [768/48750]	Loss: 0.3140	LR: 0.004000
Training Epoch: 13 [1024/48750]	Loss: 0.3221	LR: 0.004000
Training Epoch: 13 [1280/48750]	Loss: 0.2754	LR: 0.004000
Training Epoch: 13 [1536/48750]	Loss: 0.2747	LR: 0.004000
Training Epoch: 13 [1792/48750]	Loss: 0.2697	LR: 0.004000
Training Epoch: 13 [2048/48750]	Loss: 0.2792	LR: 0.004000
Training Epoch: 13 [2304/48750]	Loss: 0.2900	LR: 0.004000
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Training Epoch: 13 [47616/48750]	Loss: 0.2640	LR: 0.004000
Training Epoch: 13 [47872/48750]	Loss: 0.3853	LR: 0.004000
Training Epoch: 13 [48128/48750]	Loss: 0.3287	LR: 0.004000
Training Epoch: 13 [48384/48750]	Loss: 0.3417	LR: 0.004000
Training Epoch: 13 [48640/48750]	Loss: 0.3371	LR: 0.004000
Training Epoch: 13 [48750/48750]	Loss: 0.3285	LR: 0.004000
Epoch 13 - Average Train Loss: 0.2919, Train Accuracy: 0.8993
Epoch 13 training time consumed: 30.38s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0013, Accuracy: 0.8921, Time consumed:0.99s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_23_September_2025_00h_21m_37s/ResNet18-Cifar10-seed10-ret75-13-best.pth
Training Epoch: 14 [256/48750]	Loss: 0.3469	LR: 0.004000
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Training Epoch: 14 [26368/48750]	Loss: 0.3153	LR: 0.004000
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Training Epoch: 14 [30464/48750]	Loss: 0.3096	LR: 0.004000
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Training Epoch: 14 [30976/48750]	Loss: 0.2888	LR: 0.004000
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Training Epoch: 14 [31488/48750]	Loss: 0.3175	LR: 0.004000
Training Epoch: 14 [31744/48750]	Loss: 0.2944	LR: 0.004000
Training Epoch: 14 [32000/48750]	Loss: 0.3367	LR: 0.004000
Training Epoch: 14 [32256/48750]	Loss: 0.3400	LR: 0.004000
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Training Epoch: 14 [32768/48750]	Loss: 0.3396	LR: 0.004000
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Training Epoch: 14 [43520/48750]	Loss: 0.3348	LR: 0.004000
Training Epoch: 14 [43776/48750]	Loss: 0.2414	LR: 0.004000
Training Epoch: 14 [44032/48750]	Loss: 0.2810	LR: 0.004000
Training Epoch: 14 [44288/48750]	Loss: 0.3389	LR: 0.004000
Training Epoch: 14 [44544/48750]	Loss: 0.3228	LR: 0.004000
Training Epoch: 14 [44800/48750]	Loss: 0.2423	LR: 0.004000
Training Epoch: 14 [45056/48750]	Loss: 0.2850	LR: 0.004000
Training Epoch: 14 [45312/48750]	Loss: 0.2173	LR: 0.004000
Training Epoch: 14 [45568/48750]	Loss: 0.2157	LR: 0.004000
Training Epoch: 14 [45824/48750]	Loss: 0.2689	LR: 0.004000
Training Epoch: 14 [46080/48750]	Loss: 0.3436	LR: 0.004000
Training Epoch: 14 [46336/48750]	Loss: 0.2561	LR: 0.004000
Training Epoch: 14 [46592/48750]	Loss: 0.3437	LR: 0.004000
Training Epoch: 14 [46848/48750]	Loss: 0.3182	LR: 0.004000
Training Epoch: 14 [47104/48750]	Loss: 0.2697	LR: 0.004000
Training Epoch: 14 [47360/48750]	Loss: 0.2877	LR: 0.004000
Training Epoch: 14 [47616/48750]	Loss: 0.2833	LR: 0.004000
Training Epoch: 14 [47872/48750]	Loss: 0.2985	LR: 0.004000
Training Epoch: 14 [48128/48750]	Loss: 0.2452	LR: 0.004000
Training Epoch: 14 [48384/48750]	Loss: 0.3492	LR: 0.004000
Training Epoch: 14 [48640/48750]	Loss: 0.2827	LR: 0.004000
Training Epoch: 14 [48750/48750]	Loss: 0.2358	LR: 0.004000
Epoch 14 - Average Train Loss: 0.2837, Train Accuracy: 0.9012
Epoch 14 training time consumed: 30.11s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0013, Accuracy: 0.8918, Time consumed:1.00s
Training Epoch: 15 [256/48750]	Loss: 0.4078	LR: 0.004000
Training Epoch: 15 [512/48750]	Loss: 0.2796	LR: 0.004000
Training Epoch: 15 [768/48750]	Loss: 0.2185	LR: 0.004000
Training Epoch: 15 [1024/48750]	Loss: 0.3035	LR: 0.004000
Training Epoch: 15 [1280/48750]	Loss: 0.2563	LR: 0.004000
Training Epoch: 15 [1536/48750]	Loss: 0.2862	LR: 0.004000
Training Epoch: 15 [1792/48750]	Loss: 0.2862	LR: 0.004000
Training Epoch: 15 [2048/48750]	Loss: 0.2227	LR: 0.004000
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Training Epoch: 15 [2560/48750]	Loss: 0.2681	LR: 0.004000
Training Epoch: 15 [2816/48750]	Loss: 0.2575	LR: 0.004000
Training Epoch: 15 [3072/48750]	Loss: 0.3137	LR: 0.004000
Training Epoch: 15 [3328/48750]	Loss: 0.2235	LR: 0.004000
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Training Epoch: 15 [3840/48750]	Loss: 0.2475	LR: 0.004000
Training Epoch: 15 [4096/48750]	Loss: 0.2326	LR: 0.004000
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Training Epoch: 15 [5632/48750]	Loss: 0.2441	LR: 0.004000
Training Epoch: 15 [5888/48750]	Loss: 0.3042	LR: 0.004000
Training Epoch: 15 [6144/48750]	Loss: 0.1857	LR: 0.004000
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Training Epoch: 15 [11776/48750]	Loss: 0.2441	LR: 0.004000
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Training Epoch: 15 [16384/48750]	Loss: 0.3357	LR: 0.004000
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Training Epoch: 15 [46592/48750]	Loss: 0.2065	LR: 0.004000
Training Epoch: 15 [46848/48750]	Loss: 0.2363	LR: 0.004000
Training Epoch: 15 [47104/48750]	Loss: 0.2879	LR: 0.004000
Training Epoch: 15 [47360/48750]	Loss: 0.2971	LR: 0.004000
Training Epoch: 15 [47616/48750]	Loss: 0.3753	LR: 0.004000
Training Epoch: 15 [47872/48750]	Loss: 0.2542	LR: 0.004000
Training Epoch: 15 [48128/48750]	Loss: 0.3250	LR: 0.004000
Training Epoch: 15 [48384/48750]	Loss: 0.2943	LR: 0.004000
Training Epoch: 15 [48640/48750]	Loss: 0.2486	LR: 0.004000
Training Epoch: 15 [48750/48750]	Loss: 0.2603	LR: 0.004000
Epoch 15 - Average Train Loss: 0.2764, Train Accuracy: 0.9036
Epoch 15 training time consumed: 30.14s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0013, Accuracy: 0.8926, Time consumed:1.10s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_23_September_2025_00h_21m_37s/ResNet18-Cifar10-seed10-ret75-15-best.pth
Training Epoch: 16 [256/48750]	Loss: 0.2084	LR: 0.000800
Training Epoch: 16 [512/48750]	Loss: 0.2562	LR: 0.000800
Training Epoch: 16 [768/48750]	Loss: 0.2628	LR: 0.000800
Training Epoch: 16 [1024/48750]	Loss: 0.2696	LR: 0.000800
Training Epoch: 16 [1280/48750]	Loss: 0.2784	LR: 0.000800
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Training Epoch: 16 [46336/48750]	Loss: 0.2941	LR: 0.000800
Training Epoch: 16 [46592/48750]	Loss: 0.2161	LR: 0.000800
Training Epoch: 16 [46848/48750]	Loss: 0.2552	LR: 0.000800
Training Epoch: 16 [47104/48750]	Loss: 0.3089	LR: 0.000800
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Training Epoch: 16 [47616/48750]	Loss: 0.2837	LR: 0.000800
Training Epoch: 16 [47872/48750]	Loss: 0.2047	LR: 0.000800
Training Epoch: 16 [48128/48750]	Loss: 0.2671	LR: 0.000800
Training Epoch: 16 [48384/48750]	Loss: 0.1906	LR: 0.000800
Training Epoch: 16 [48640/48750]	Loss: 0.3070	LR: 0.000800
Training Epoch: 16 [48750/48750]	Loss: 0.2332	LR: 0.000800
Epoch 16 - Average Train Loss: 0.2667, Train Accuracy: 0.9075
Epoch 16 training time consumed: 30.22s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0013, Accuracy: 0.8927, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_23_September_2025_00h_21m_37s/ResNet18-Cifar10-seed10-ret75-16-best.pth
Training Epoch: 17 [256/48750]	Loss: 0.2581	LR: 0.000800
Training Epoch: 17 [512/48750]	Loss: 0.2290	LR: 0.000800
Training Epoch: 17 [768/48750]	Loss: 0.2661	LR: 0.000800
Training Epoch: 17 [1024/48750]	Loss: 0.2409	LR: 0.000800
Training Epoch: 17 [1280/48750]	Loss: 0.1745	LR: 0.000800
Training Epoch: 17 [1536/48750]	Loss: 0.2761	LR: 0.000800
Training Epoch: 17 [1792/48750]	Loss: 0.1706	LR: 0.000800
Training Epoch: 17 [2048/48750]	Loss: 0.2760	LR: 0.000800
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Training Epoch: 17 [3584/48750]	Loss: 0.1799	LR: 0.000800
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Training Epoch: 17 [25344/48750]	Loss: 0.3090	LR: 0.000800
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Training Epoch: 17 [25856/48750]	Loss: 0.2779	LR: 0.000800
Training Epoch: 17 [26112/48750]	Loss: 0.2026	LR: 0.000800
Training Epoch: 17 [26368/48750]	Loss: 0.3783	LR: 0.000800
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Training Epoch: 17 [29696/48750]	Loss: 0.2788	LR: 0.000800
Training Epoch: 17 [29952/48750]	Loss: 0.2528	LR: 0.000800
Training Epoch: 17 [30208/48750]	Loss: 0.2701	LR: 0.000800
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Training Epoch: 17 [30976/48750]	Loss: 0.1371	LR: 0.000800
Training Epoch: 17 [31232/48750]	Loss: 0.2510	LR: 0.000800
Training Epoch: 17 [31488/48750]	Loss: 0.2022	LR: 0.000800
Training Epoch: 17 [31744/48750]	Loss: 0.2149	LR: 0.000800
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Training Epoch: 17 [32256/48750]	Loss: 0.2768	LR: 0.000800
Training Epoch: 17 [32512/48750]	Loss: 0.2919	LR: 0.000800
Training Epoch: 17 [32768/48750]	Loss: 0.2926	LR: 0.000800
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Training Epoch: 17 [33536/48750]	Loss: 0.2530	LR: 0.000800
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Training Epoch: 17 [34048/48750]	Loss: 0.2591	LR: 0.000800
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Training Epoch: 17 [36352/48750]	Loss: 0.3163	LR: 0.000800
Training Epoch: 17 [36608/48750]	Loss: 0.3133	LR: 0.000800
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Training Epoch: 17 [37120/48750]	Loss: 0.2889	LR: 0.000800
Training Epoch: 17 [37376/48750]	Loss: 0.1991	LR: 0.000800
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Training Epoch: 17 [40448/48750]	Loss: 0.2700	LR: 0.000800
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Training Epoch: 17 [41728/48750]	Loss: 0.2427	LR: 0.000800
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Training Epoch: 17 [43008/48750]	Loss: 0.2896	LR: 0.000800
Training Epoch: 17 [43264/48750]	Loss: 0.2381	LR: 0.000800
Training Epoch: 17 [43520/48750]	Loss: 0.2614	LR: 0.000800
Training Epoch: 17 [43776/48750]	Loss: 0.2929	LR: 0.000800
Training Epoch: 17 [44032/48750]	Loss: 0.2292	LR: 0.000800
Training Epoch: 17 [44288/48750]	Loss: 0.2851	LR: 0.000800
Training Epoch: 17 [44544/48750]	Loss: 0.3184	LR: 0.000800
Training Epoch: 17 [44800/48750]	Loss: 0.2449	LR: 0.000800
Training Epoch: 17 [45056/48750]	Loss: 0.3085	LR: 0.000800
Training Epoch: 17 [45312/48750]	Loss: 0.2264	LR: 0.000800
Training Epoch: 17 [45568/48750]	Loss: 0.2759	LR: 0.000800
Training Epoch: 17 [45824/48750]	Loss: 0.2851	LR: 0.000800
Training Epoch: 17 [46080/48750]	Loss: 0.2954	LR: 0.000800
Training Epoch: 17 [46336/48750]	Loss: 0.2143	LR: 0.000800
Training Epoch: 17 [46592/48750]	Loss: 0.3056	LR: 0.000800
Training Epoch: 17 [46848/48750]	Loss: 0.1752	LR: 0.000800
Training Epoch: 17 [47104/48750]	Loss: 0.2599	LR: 0.000800
Training Epoch: 17 [47360/48750]	Loss: 0.2358	LR: 0.000800
Training Epoch: 17 [47616/48750]	Loss: 0.2438	LR: 0.000800
Training Epoch: 17 [47872/48750]	Loss: 0.2159	LR: 0.000800
Training Epoch: 17 [48128/48750]	Loss: 0.2117	LR: 0.000800
Training Epoch: 17 [48384/48750]	Loss: 0.2307	LR: 0.000800
Training Epoch: 17 [48640/48750]	Loss: 0.2692	LR: 0.000800
Training Epoch: 17 [48750/48750]	Loss: 0.1629	LR: 0.000800
Epoch 17 - Average Train Loss: 0.2613, Train Accuracy: 0.9095
Epoch 17 training time consumed: 30.21s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0013, Accuracy: 0.8938, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_23_September_2025_00h_21m_37s/ResNet18-Cifar10-seed10-ret75-17-best.pth
Training Epoch: 18 [256/48750]	Loss: 0.2816	LR: 0.000800
Training Epoch: 18 [512/48750]	Loss: 0.2507	LR: 0.000800
Training Epoch: 18 [768/48750]	Loss: 0.2346	LR: 0.000800
Training Epoch: 18 [1024/48750]	Loss: 0.2535	LR: 0.000800
Training Epoch: 18 [1280/48750]	Loss: 0.2354	LR: 0.000800
Training Epoch: 18 [1536/48750]	Loss: 0.2706	LR: 0.000800
Training Epoch: 18 [1792/48750]	Loss: 0.2541	LR: 0.000800
Training Epoch: 18 [2048/48750]	Loss: 0.2674	LR: 0.000800
Training Epoch: 18 [2304/48750]	Loss: 0.2216	LR: 0.000800
Training Epoch: 18 [2560/48750]	Loss: 0.3878	LR: 0.000800
Training Epoch: 18 [2816/48750]	Loss: 0.2760	LR: 0.000800
Training Epoch: 18 [3072/48750]	Loss: 0.3028	LR: 0.000800
Training Epoch: 18 [3328/48750]	Loss: 0.2142	LR: 0.000800
Training Epoch: 18 [3584/48750]	Loss: 0.2227	LR: 0.000800
Training Epoch: 18 [3840/48750]	Loss: 0.2456	LR: 0.000800
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Training Epoch: 18 [4352/48750]	Loss: 0.2789	LR: 0.000800
Training Epoch: 18 [4608/48750]	Loss: 0.2870	LR: 0.000800
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Training Epoch: 18 [5120/48750]	Loss: 0.2336	LR: 0.000800
Training Epoch: 18 [5376/48750]	Loss: 0.2904	LR: 0.000800
Training Epoch: 18 [5632/48750]	Loss: 0.2432	LR: 0.000800
Training Epoch: 18 [5888/48750]	Loss: 0.2654	LR: 0.000800
Training Epoch: 18 [6144/48750]	Loss: 0.2432	LR: 0.000800
Training Epoch: 18 [6400/48750]	Loss: 0.2789	LR: 0.000800
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Training Epoch: 18 [7168/48750]	Loss: 0.2319	LR: 0.000800
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Training Epoch: 18 [8448/48750]	Loss: 0.2952	LR: 0.000800
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Training Epoch: 18 [11008/48750]	Loss: 0.2836	LR: 0.000800
Training Epoch: 18 [11264/48750]	Loss: 0.1985	LR: 0.000800
Training Epoch: 18 [11520/48750]	Loss: 0.3139	LR: 0.000800
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Training Epoch: 18 [12032/48750]	Loss: 0.2441	LR: 0.000800
Training Epoch: 18 [12288/48750]	Loss: 0.2528	LR: 0.000800
Training Epoch: 18 [12544/48750]	Loss: 0.2219	LR: 0.000800
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Training Epoch: 18 [13824/48750]	Loss: 0.3393	LR: 0.000800
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Training Epoch: 18 [14336/48750]	Loss: 0.2411	LR: 0.000800
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Training Epoch: 18 [15872/48750]	Loss: 0.2725	LR: 0.000800
Training Epoch: 18 [16128/48750]	Loss: 0.3305	LR: 0.000800
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Training Epoch: 18 [16640/48750]	Loss: 0.2753	LR: 0.000800
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Training Epoch: 18 [22016/48750]	Loss: 0.2778	LR: 0.000800
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Training Epoch: 18 [25344/48750]	Loss: 0.2249	LR: 0.000800
Training Epoch: 18 [25600/48750]	Loss: 0.2935	LR: 0.000800
Training Epoch: 18 [25856/48750]	Loss: 0.2626	LR: 0.000800
Training Epoch: 18 [26112/48750]	Loss: 0.3144	LR: 0.000800
Training Epoch: 18 [26368/48750]	Loss: 0.2680	LR: 0.000800
Training Epoch: 18 [26624/48750]	Loss: 0.2310	LR: 0.000800
Training Epoch: 18 [26880/48750]	Loss: 0.2418	LR: 0.000800
Training Epoch: 18 [27136/48750]	Loss: 0.2581	LR: 0.000800
Training Epoch: 18 [27392/48750]	Loss: 0.2548	LR: 0.000800
Training Epoch: 18 [27648/48750]	Loss: 0.2461	LR: 0.000800
Training Epoch: 18 [27904/48750]	Loss: 0.2078	LR: 0.000800
Training Epoch: 18 [28160/48750]	Loss: 0.2374	LR: 0.000800
Training Epoch: 18 [28416/48750]	Loss: 0.2694	LR: 0.000800
Training Epoch: 18 [28672/48750]	Loss: 0.1919	LR: 0.000800
Training Epoch: 18 [28928/48750]	Loss: 0.2452	LR: 0.000800
Training Epoch: 18 [29184/48750]	Loss: 0.2713	LR: 0.000800
Training Epoch: 18 [29440/48750]	Loss: 0.2427	LR: 0.000800
Training Epoch: 18 [29696/48750]	Loss: 0.2958	LR: 0.000800
Training Epoch: 18 [29952/48750]	Loss: 0.2163	LR: 0.000800
Training Epoch: 18 [30208/48750]	Loss: 0.2763	LR: 0.000800
Training Epoch: 18 [30464/48750]	Loss: 0.3146	LR: 0.000800
Training Epoch: 18 [30720/48750]	Loss: 0.3684	LR: 0.000800
Training Epoch: 18 [30976/48750]	Loss: 0.2563	LR: 0.000800
Training Epoch: 18 [31232/48750]	Loss: 0.2965	LR: 0.000800
Training Epoch: 18 [31488/48750]	Loss: 0.3161	LR: 0.000800
Training Epoch: 18 [31744/48750]	Loss: 0.2532	LR: 0.000800
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Training Epoch: 18 [32256/48750]	Loss: 0.2558	LR: 0.000800
Training Epoch: 18 [32512/48750]	Loss: 0.2514	LR: 0.000800
Training Epoch: 18 [32768/48750]	Loss: 0.2307	LR: 0.000800
Training Epoch: 18 [33024/48750]	Loss: 0.2212	LR: 0.000800
Training Epoch: 18 [33280/48750]	Loss: 0.2404	LR: 0.000800
Training Epoch: 18 [33536/48750]	Loss: 0.1812	LR: 0.000800
Training Epoch: 18 [33792/48750]	Loss: 0.2305	LR: 0.000800
Training Epoch: 18 [34048/48750]	Loss: 0.2867	LR: 0.000800
Training Epoch: 18 [34304/48750]	Loss: 0.2396	LR: 0.000800
Training Epoch: 18 [34560/48750]	Loss: 0.3146	LR: 0.000800
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Training Epoch: 18 [35328/48750]	Loss: 0.2939	LR: 0.000800
Training Epoch: 18 [35584/48750]	Loss: 0.2713	LR: 0.000800
Training Epoch: 18 [35840/48750]	Loss: 0.2404	LR: 0.000800
Training Epoch: 18 [36096/48750]	Loss: 0.2721	LR: 0.000800
Training Epoch: 18 [36352/48750]	Loss: 0.2562	LR: 0.000800
Training Epoch: 18 [36608/48750]	Loss: 0.2889	LR: 0.000800
Training Epoch: 18 [36864/48750]	Loss: 0.2223	LR: 0.000800
Training Epoch: 18 [37120/48750]	Loss: 0.2596	LR: 0.000800
Training Epoch: 18 [37376/48750]	Loss: 0.2012	LR: 0.000800
Training Epoch: 18 [37632/48750]	Loss: 0.2694	LR: 0.000800
Training Epoch: 18 [37888/48750]	Loss: 0.2385	LR: 0.000800
Training Epoch: 18 [38144/48750]	Loss: 0.2416	LR: 0.000800
Training Epoch: 18 [38400/48750]	Loss: 0.4319	LR: 0.000800
Training Epoch: 18 [38656/48750]	Loss: 0.2720	LR: 0.000800
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Training Epoch: 18 [39168/48750]	Loss: 0.2116	LR: 0.000800
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Training Epoch: 18 [40192/48750]	Loss: 0.2634	LR: 0.000800
Training Epoch: 18 [40448/48750]	Loss: 0.2461	LR: 0.000800
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Training Epoch: 18 [40960/48750]	Loss: 0.3268	LR: 0.000800
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Training Epoch: 18 [41472/48750]	Loss: 0.2468	LR: 0.000800
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Training Epoch: 18 [42240/48750]	Loss: 0.3281	LR: 0.000800
Training Epoch: 18 [42496/48750]	Loss: 0.2122	LR: 0.000800
Training Epoch: 18 [42752/48750]	Loss: 0.2819	LR: 0.000800
Training Epoch: 18 [43008/48750]	Loss: 0.2556	LR: 0.000800
Training Epoch: 18 [43264/48750]	Loss: 0.2475	LR: 0.000800
Training Epoch: 18 [43520/48750]	Loss: 0.2709	LR: 0.000800
Training Epoch: 18 [43776/48750]	Loss: 0.2019	LR: 0.000800
Training Epoch: 18 [44032/48750]	Loss: 0.2678	LR: 0.000800
Training Epoch: 18 [44288/48750]	Loss: 0.3134	LR: 0.000800
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Training Epoch: 18 [44800/48750]	Loss: 0.2279	LR: 0.000800
Training Epoch: 18 [45056/48750]	Loss: 0.2788	LR: 0.000800
Training Epoch: 18 [45312/48750]	Loss: 0.2582	LR: 0.000800
Training Epoch: 18 [45568/48750]	Loss: 0.2102	LR: 0.000800
Training Epoch: 18 [45824/48750]	Loss: 0.2667	LR: 0.000800
Training Epoch: 18 [46080/48750]	Loss: 0.2215	LR: 0.000800
Training Epoch: 18 [46336/48750]	Loss: 0.2427	LR: 0.000800
Training Epoch: 18 [46592/48750]	Loss: 0.3664	LR: 0.000800
Training Epoch: 18 [46848/48750]	Loss: 0.2562	LR: 0.000800
Training Epoch: 18 [47104/48750]	Loss: 0.2880	LR: 0.000800
Training Epoch: 18 [47360/48750]	Loss: 0.3116	LR: 0.000800
Training Epoch: 18 [47616/48750]	Loss: 0.2874	LR: 0.000800
Training Epoch: 18 [47872/48750]	Loss: 0.2712	LR: 0.000800
Training Epoch: 18 [48128/48750]	Loss: 0.2850	LR: 0.000800
Training Epoch: 18 [48384/48750]	Loss: 0.2165	LR: 0.000800
Training Epoch: 18 [48640/48750]	Loss: 0.3476	LR: 0.000800
Training Epoch: 18 [48750/48750]	Loss: 0.2719	LR: 0.000800
Epoch 18 - Average Train Loss: 0.2616, Train Accuracy: 0.9096
Epoch 18 training time consumed: 30.14s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0013, Accuracy: 0.8942, Time consumed:0.99s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_23_September_2025_00h_21m_37s/ResNet18-Cifar10-seed10-ret75-18-best.pth
Training Epoch: 19 [256/48750]	Loss: 0.2799	LR: 0.000800
Training Epoch: 19 [512/48750]	Loss: 0.2552	LR: 0.000800
Training Epoch: 19 [768/48750]	Loss: 0.3004	LR: 0.000800
Training Epoch: 19 [1024/48750]	Loss: 0.1942	LR: 0.000800
Training Epoch: 19 [1280/48750]	Loss: 0.2872	LR: 0.000800
Training Epoch: 19 [1536/48750]	Loss: 0.2291	LR: 0.000800
Training Epoch: 19 [1792/48750]	Loss: 0.1771	LR: 0.000800
Training Epoch: 19 [2048/48750]	Loss: 0.3000	LR: 0.000800
Training Epoch: 19 [2304/48750]	Loss: 0.2506	LR: 0.000800
Training Epoch: 19 [2560/48750]	Loss: 0.1869	LR: 0.000800
Training Epoch: 19 [2816/48750]	Loss: 0.3067	LR: 0.000800
Training Epoch: 19 [3072/48750]	Loss: 0.2641	LR: 0.000800
Training Epoch: 19 [3328/48750]	Loss: 0.2133	LR: 0.000800
Training Epoch: 19 [3584/48750]	Loss: 0.2875	LR: 0.000800
Training Epoch: 19 [3840/48750]	Loss: 0.3645	LR: 0.000800
Training Epoch: 19 [4096/48750]	Loss: 0.2739	LR: 0.000800
Training Epoch: 19 [4352/48750]	Loss: 0.2396	LR: 0.000800
Training Epoch: 19 [4608/48750]	Loss: 0.2168	LR: 0.000800
Training Epoch: 19 [4864/48750]	Loss: 0.2186	LR: 0.000800
Training Epoch: 19 [5120/48750]	Loss: 0.1713	LR: 0.000800
Training Epoch: 19 [5376/48750]	Loss: 0.2202	LR: 0.000800
Training Epoch: 19 [5632/48750]	Loss: 0.2185	LR: 0.000800
Training Epoch: 19 [5888/48750]	Loss: 0.3176	LR: 0.000800
Training Epoch: 19 [6144/48750]	Loss: 0.3393	LR: 0.000800
Training Epoch: 19 [6400/48750]	Loss: 0.2220	LR: 0.000800
Training Epoch: 19 [6656/48750]	Loss: 0.3156	LR: 0.000800
Training Epoch: 19 [6912/48750]	Loss: 0.3719	LR: 0.000800
Training Epoch: 19 [7168/48750]	Loss: 0.2783	LR: 0.000800
Training Epoch: 19 [7424/48750]	Loss: 0.2782	LR: 0.000800
Training Epoch: 19 [7680/48750]	Loss: 0.2661	LR: 0.000800
Training Epoch: 19 [7936/48750]	Loss: 0.2277	LR: 0.000800
Training Epoch: 19 [8192/48750]	Loss: 0.2572	LR: 0.000800
Training Epoch: 19 [8448/48750]	Loss: 0.2339	LR: 0.000800
Training Epoch: 19 [8704/48750]	Loss: 0.2689	LR: 0.000800
Training Epoch: 19 [8960/48750]	Loss: 0.2751	LR: 0.000800
Training Epoch: 19 [9216/48750]	Loss: 0.2793	LR: 0.000800
Training Epoch: 19 [9472/48750]	Loss: 0.1726	LR: 0.000800
Training Epoch: 19 [9728/48750]	Loss: 0.3191	LR: 0.000800
Training Epoch: 19 [9984/48750]	Loss: 0.1897	LR: 0.000800
Training Epoch: 19 [10240/48750]	Loss: 0.2510	LR: 0.000800
Training Epoch: 19 [10496/48750]	Loss: 0.2174	LR: 0.000800
Training Epoch: 19 [10752/48750]	Loss: 0.2400	LR: 0.000800
Training Epoch: 19 [11008/48750]	Loss: 0.2709	LR: 0.000800
Training Epoch: 19 [11264/48750]	Loss: 0.2969	LR: 0.000800
Training Epoch: 19 [11520/48750]	Loss: 0.2258	LR: 0.000800
Training Epoch: 19 [11776/48750]	Loss: 0.2712	LR: 0.000800
Training Epoch: 19 [12032/48750]	Loss: 0.2474	LR: 0.000800
Training Epoch: 19 [12288/48750]	Loss: 0.2559	LR: 0.000800
Training Epoch: 19 [12544/48750]	Loss: 0.2726	LR: 0.000800
Training Epoch: 19 [12800/48750]	Loss: 0.1932	LR: 0.000800
Training Epoch: 19 [13056/48750]	Loss: 0.1723	LR: 0.000800
Training Epoch: 19 [13312/48750]	Loss: 0.2946	LR: 0.000800
Training Epoch: 19 [13568/48750]	Loss: 0.2722	LR: 0.000800
Training Epoch: 19 [13824/48750]	Loss: 0.2060	LR: 0.000800
Training Epoch: 19 [14080/48750]	Loss: 0.2788	LR: 0.000800
Training Epoch: 19 [14336/48750]	Loss: 0.2569	LR: 0.000800
Training Epoch: 19 [14592/48750]	Loss: 0.2157	LR: 0.000800
Training Epoch: 19 [14848/48750]	Loss: 0.3102	LR: 0.000800
Training Epoch: 19 [15104/48750]	Loss: 0.2811	LR: 0.000800
Training Epoch: 19 [15360/48750]	Loss: 0.1877	LR: 0.000800
Training Epoch: 19 [15616/48750]	Loss: 0.3199	LR: 0.000800
Training Epoch: 19 [15872/48750]	Loss: 0.2657	LR: 0.000800
Training Epoch: 19 [16128/48750]	Loss: 0.2577	LR: 0.000800
Training Epoch: 19 [16384/48750]	Loss: 0.2246	LR: 0.000800
Training Epoch: 19 [16640/48750]	Loss: 0.3189	LR: 0.000800
Training Epoch: 19 [16896/48750]	Loss: 0.2993	LR: 0.000800
Training Epoch: 19 [17152/48750]	Loss: 0.2686	LR: 0.000800
Training Epoch: 19 [17408/48750]	Loss: 0.2882	LR: 0.000800
Training Epoch: 19 [17664/48750]	Loss: 0.2762	LR: 0.000800
Training Epoch: 19 [17920/48750]	Loss: 0.3049	LR: 0.000800
Training Epoch: 19 [18176/48750]	Loss: 0.1938	LR: 0.000800
Training Epoch: 19 [18432/48750]	Loss: 0.2394	LR: 0.000800
Training Epoch: 19 [18688/48750]	Loss: 0.2270	LR: 0.000800
Training Epoch: 19 [18944/48750]	Loss: 0.3923	LR: 0.000800
Training Epoch: 19 [19200/48750]	Loss: 0.2433	LR: 0.000800
Training Epoch: 19 [19456/48750]	Loss: 0.2402	LR: 0.000800
Training Epoch: 19 [19712/48750]	Loss: 0.2942	LR: 0.000800
Training Epoch: 19 [19968/48750]	Loss: 0.2218	LR: 0.000800
Training Epoch: 19 [20224/48750]	Loss: 0.2528	LR: 0.000800
Training Epoch: 19 [20480/48750]	Loss: 0.2403	LR: 0.000800
Training Epoch: 19 [20736/48750]	Loss: 0.2381	LR: 0.000800
Training Epoch: 19 [20992/48750]	Loss: 0.2287	LR: 0.000800
Training Epoch: 19 [21248/48750]	Loss: 0.3072	LR: 0.000800
Training Epoch: 19 [21504/48750]	Loss: 0.3091	LR: 0.000800
Training Epoch: 19 [21760/48750]	Loss: 0.2961	LR: 0.000800
Training Epoch: 19 [22016/48750]	Loss: 0.3159	LR: 0.000800
Training Epoch: 19 [22272/48750]	Loss: 0.2038	LR: 0.000800
Training Epoch: 19 [22528/48750]	Loss: 0.3655	LR: 0.000800
Training Epoch: 19 [22784/48750]	Loss: 0.3671	LR: 0.000800
Training Epoch: 19 [23040/48750]	Loss: 0.2083	LR: 0.000800
Training Epoch: 19 [23296/48750]	Loss: 0.1988	LR: 0.000800
Training Epoch: 19 [23552/48750]	Loss: 0.1825	LR: 0.000800
Training Epoch: 19 [23808/48750]	Loss: 0.2261	LR: 0.000800
Training Epoch: 19 [24064/48750]	Loss: 0.2874	LR: 0.000800
Training Epoch: 19 [24320/48750]	Loss: 0.1978	LR: 0.000800
Training Epoch: 19 [24576/48750]	Loss: 0.2600	LR: 0.000800
Training Epoch: 19 [24832/48750]	Loss: 0.2363	LR: 0.000800
Training Epoch: 19 [25088/48750]	Loss: 0.2826	LR: 0.000800
Training Epoch: 19 [25344/48750]	Loss: 0.2205	LR: 0.000800
Training Epoch: 19 [25600/48750]	Loss: 0.2135	LR: 0.000800
Training Epoch: 19 [25856/48750]	Loss: 0.3176	LR: 0.000800
Training Epoch: 19 [26112/48750]	Loss: 0.2550	LR: 0.000800
Training Epoch: 19 [26368/48750]	Loss: 0.2565	LR: 0.000800
Training Epoch: 19 [26624/48750]	Loss: 0.2501	LR: 0.000800
Training Epoch: 19 [26880/48750]	Loss: 0.2727	LR: 0.000800
Training Epoch: 19 [27136/48750]	Loss: 0.2771	LR: 0.000800
Training Epoch: 19 [27392/48750]	Loss: 0.2534	LR: 0.000800
Training Epoch: 19 [27648/48750]	Loss: 0.2020	LR: 0.000800
Training Epoch: 19 [27904/48750]	Loss: 0.3197	LR: 0.000800
Training Epoch: 19 [28160/48750]	Loss: 0.2861	LR: 0.000800
Training Epoch: 19 [28416/48750]	Loss: 0.1699	LR: 0.000800
Training Epoch: 19 [28672/48750]	Loss: 0.2302	LR: 0.000800
Training Epoch: 19 [28928/48750]	Loss: 0.2803	LR: 0.000800
Training Epoch: 19 [29184/48750]	Loss: 0.2469	LR: 0.000800
Training Epoch: 19 [29440/48750]	Loss: 0.2796	LR: 0.000800
Training Epoch: 19 [29696/48750]	Loss: 0.2213	LR: 0.000800
Training Epoch: 19 [29952/48750]	Loss: 0.2152	LR: 0.000800
Training Epoch: 19 [30208/48750]	Loss: 0.3071	LR: 0.000800
Training Epoch: 19 [30464/48750]	Loss: 0.3408	LR: 0.000800
Training Epoch: 19 [30720/48750]	Loss: 0.2464	LR: 0.000800
Training Epoch: 19 [30976/48750]	Loss: 0.2228	LR: 0.000800
Training Epoch: 19 [31232/48750]	Loss: 0.2527	LR: 0.000800
Training Epoch: 19 [31488/48750]	Loss: 0.2219	LR: 0.000800
Training Epoch: 19 [31744/48750]	Loss: 0.2710	LR: 0.000800
Training Epoch: 19 [32000/48750]	Loss: 0.2690	LR: 0.000800
Training Epoch: 19 [32256/48750]	Loss: 0.2830	LR: 0.000800
Training Epoch: 19 [32512/48750]	Loss: 0.2187	LR: 0.000800
Training Epoch: 19 [32768/48750]	Loss: 0.2833	LR: 0.000800
Training Epoch: 19 [33024/48750]	Loss: 0.2548	LR: 0.000800
Training Epoch: 19 [33280/48750]	Loss: 0.2698	LR: 0.000800
Training Epoch: 19 [33536/48750]	Loss: 0.2201	LR: 0.000800
Training Epoch: 19 [33792/48750]	Loss: 0.1745	LR: 0.000800
Training Epoch: 19 [34048/48750]	Loss: 0.3042	LR: 0.000800
Training Epoch: 19 [34304/48750]	Loss: 0.2328	LR: 0.000800
Training Epoch: 19 [34560/48750]	Loss: 0.2806	LR: 0.000800
Training Epoch: 19 [34816/48750]	Loss: 0.2670	LR: 0.000800
Training Epoch: 19 [35072/48750]	Loss: 0.2877	LR: 0.000800
Training Epoch: 19 [35328/48750]	Loss: 0.2570	LR: 0.000800
Training Epoch: 19 [35584/48750]	Loss: 0.3097	LR: 0.000800
Training Epoch: 19 [35840/48750]	Loss: 0.2917	LR: 0.000800
Training Epoch: 19 [36096/48750]	Loss: 0.3366	LR: 0.000800
Training Epoch: 19 [36352/48750]	Loss: 0.3053	LR: 0.000800
Training Epoch: 19 [36608/48750]	Loss: 0.2812	LR: 0.000800
Training Epoch: 19 [36864/48750]	Loss: 0.2530	LR: 0.000800
Training Epoch: 19 [37120/48750]	Loss: 0.3034	LR: 0.000800
Training Epoch: 19 [37376/48750]	Loss: 0.2667	LR: 0.000800
Training Epoch: 19 [37632/48750]	Loss: 0.2832	LR: 0.000800
Training Epoch: 19 [37888/48750]	Loss: 0.2111	LR: 0.000800
Training Epoch: 19 [38144/48750]	Loss: 0.2433	LR: 0.000800
Training Epoch: 19 [38400/48750]	Loss: 0.2437	LR: 0.000800
Training Epoch: 19 [38656/48750]	Loss: 0.2569	LR: 0.000800
Training Epoch: 19 [38912/48750]	Loss: 0.2551	LR: 0.000800
Training Epoch: 19 [39168/48750]	Loss: 0.2060	LR: 0.000800
Training Epoch: 19 [39424/48750]	Loss: 0.2608	LR: 0.000800
Training Epoch: 19 [39680/48750]	Loss: 0.2785	LR: 0.000800
Training Epoch: 19 [39936/48750]	Loss: 0.3146	LR: 0.000800
Training Epoch: 19 [40192/48750]	Loss: 0.2171	LR: 0.000800
Training Epoch: 19 [40448/48750]	Loss: 0.2282	LR: 0.000800
Training Epoch: 19 [40704/48750]	Loss: 0.3944	LR: 0.000800
Training Epoch: 19 [40960/48750]	Loss: 0.1949	LR: 0.000800
Training Epoch: 19 [41216/48750]	Loss: 0.2450	LR: 0.000800
Training Epoch: 19 [41472/48750]	Loss: 0.2746	LR: 0.000800
Training Epoch: 19 [41728/48750]	Loss: 0.2330	LR: 0.000800
Training Epoch: 19 [41984/48750]	Loss: 0.2394	LR: 0.000800
Training Epoch: 19 [42240/48750]	Loss: 0.2614	LR: 0.000800
Training Epoch: 19 [42496/48750]	Loss: 0.3210	LR: 0.000800
Training Epoch: 19 [42752/48750]	Loss: 0.3117	LR: 0.000800
Training Epoch: 19 [43008/48750]	Loss: 0.2879	LR: 0.000800
Training Epoch: 19 [43264/48750]	Loss: 0.2941	LR: 0.000800
Training Epoch: 19 [43520/48750]	Loss: 0.2661	LR: 0.000800
Training Epoch: 19 [43776/48750]	Loss: 0.2629	LR: 0.000800
Training Epoch: 19 [44032/48750]	Loss: 0.2983	LR: 0.000800
Training Epoch: 19 [44288/48750]	Loss: 0.3010	LR: 0.000800
Training Epoch: 19 [44544/48750]	Loss: 0.3517	LR: 0.000800
Training Epoch: 19 [44800/48750]	Loss: 0.2061	LR: 0.000800
Training Epoch: 19 [45056/48750]	Loss: 0.2678	LR: 0.000800
Training Epoch: 19 [45312/48750]	Loss: 0.2097	LR: 0.000800
Training Epoch: 19 [45568/48750]	Loss: 0.2137	LR: 0.000800
Training Epoch: 19 [45824/48750]	Loss: 0.1809	LR: 0.000800
Training Epoch: 19 [46080/48750]	Loss: 0.3322	LR: 0.000800
Training Epoch: 19 [46336/48750]	Loss: 0.2778	LR: 0.000800
Training Epoch: 19 [46592/48750]	Loss: 0.2181	LR: 0.000800
Training Epoch: 19 [46848/48750]	Loss: 0.2813	LR: 0.000800
Training Epoch: 19 [47104/48750]	Loss: 0.2596	LR: 0.000800
Training Epoch: 19 [47360/48750]	Loss: 0.2832	LR: 0.000800
Training Epoch: 19 [47616/48750]	Loss: 0.2264	LR: 0.000800
Training Epoch: 19 [47872/48750]	Loss: 0.2380	LR: 0.000800
Training Epoch: 19 [48128/48750]	Loss: 0.3482	LR: 0.000800
Training Epoch: 19 [48384/48750]	Loss: 0.3019	LR: 0.000800
Training Epoch: 19 [48640/48750]	Loss: 0.2908	LR: 0.000800
Training Epoch: 19 [48750/48750]	Loss: 0.2636	LR: 0.000800
Epoch 19 - Average Train Loss: 0.2612, Train Accuracy: 0.9094
Epoch 19 training time consumed: 30.37s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0013, Accuracy: 0.8958, Time consumed:1.00s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_23_September_2025_00h_21m_37s/ResNet18-Cifar10-seed10-ret75-19-best.pth
Training Epoch: 20 [256/48750]	Loss: 0.2710	LR: 0.000800
Training Epoch: 20 [512/48750]	Loss: 0.2276	LR: 0.000800
Training Epoch: 20 [768/48750]	Loss: 0.2824	LR: 0.000800
Training Epoch: 20 [1024/48750]	Loss: 0.2706	LR: 0.000800
Training Epoch: 20 [1280/48750]	Loss: 0.2471	LR: 0.000800
Training Epoch: 20 [1536/48750]	Loss: 0.2801	LR: 0.000800
Training Epoch: 20 [1792/48750]	Loss: 0.2574	LR: 0.000800
Training Epoch: 20 [2048/48750]	Loss: 0.2564	LR: 0.000800
Training Epoch: 20 [2304/48750]	Loss: 0.2576	LR: 0.000800
Training Epoch: 20 [2560/48750]	Loss: 0.2197	LR: 0.000800
Training Epoch: 20 [2816/48750]	Loss: 0.2881	LR: 0.000800
Training Epoch: 20 [3072/48750]	Loss: 0.1938	LR: 0.000800
Training Epoch: 20 [3328/48750]	Loss: 0.1988	LR: 0.000800
Training Epoch: 20 [3584/48750]	Loss: 0.2530	LR: 0.000800
Training Epoch: 20 [3840/48750]	Loss: 0.2633	LR: 0.000800
Training Epoch: 20 [4096/48750]	Loss: 0.2438	LR: 0.000800
Training Epoch: 20 [4352/48750]	Loss: 0.3125	LR: 0.000800
Training Epoch: 20 [4608/48750]	Loss: 0.2753	LR: 0.000800
Training Epoch: 20 [4864/48750]	Loss: 0.2184	LR: 0.000800
Training Epoch: 20 [5120/48750]	Loss: 0.2283	LR: 0.000800
Training Epoch: 20 [5376/48750]	Loss: 0.3253	LR: 0.000800
Training Epoch: 20 [5632/48750]	Loss: 0.2930	LR: 0.000800
Training Epoch: 20 [5888/48750]	Loss: 0.2514	LR: 0.000800
Training Epoch: 20 [6144/48750]	Loss: 0.2851	LR: 0.000800
Training Epoch: 20 [6400/48750]	Loss: 0.2147	LR: 0.000800
Training Epoch: 20 [6656/48750]	Loss: 0.2236	LR: 0.000800
Training Epoch: 20 [6912/48750]	Loss: 0.3159	LR: 0.000800
Training Epoch: 20 [7168/48750]	Loss: 0.2372	LR: 0.000800
Training Epoch: 20 [7424/48750]	Loss: 0.2927	LR: 0.000800
Training Epoch: 20 [7680/48750]	Loss: 0.1902	LR: 0.000800
Training Epoch: 20 [7936/48750]	Loss: 0.1956	LR: 0.000800
Training Epoch: 20 [8192/48750]	Loss: 0.2345	LR: 0.000800
Training Epoch: 20 [8448/48750]	Loss: 0.2698	LR: 0.000800
Training Epoch: 20 [8704/48750]	Loss: 0.2653	LR: 0.000800
Training Epoch: 20 [8960/48750]	Loss: 0.2710	LR: 0.000800
Training Epoch: 20 [9216/48750]	Loss: 0.2145	LR: 0.000800
Training Epoch: 20 [9472/48750]	Loss: 0.3423	LR: 0.000800
Training Epoch: 20 [9728/48750]	Loss: 0.2579	LR: 0.000800
Training Epoch: 20 [9984/48750]	Loss: 0.2445	LR: 0.000800
Training Epoch: 20 [10240/48750]	Loss: 0.2083	LR: 0.000800
Training Epoch: 20 [10496/48750]	Loss: 0.2571	LR: 0.000800
Training Epoch: 20 [10752/48750]	Loss: 0.2101	LR: 0.000800
Training Epoch: 20 [11008/48750]	Loss: 0.1958	LR: 0.000800
Training Epoch: 20 [11264/48750]	Loss: 0.2479	LR: 0.000800
Training Epoch: 20 [11520/48750]	Loss: 0.2794	LR: 0.000800
Training Epoch: 20 [11776/48750]	Loss: 0.2324	LR: 0.000800
Training Epoch: 20 [12032/48750]	Loss: 0.2561	LR: 0.000800
Training Epoch: 20 [12288/48750]	Loss: 0.3078	LR: 0.000800
Training Epoch: 20 [12544/48750]	Loss: 0.2661	LR: 0.000800
Training Epoch: 20 [12800/48750]	Loss: 0.3313	LR: 0.000800
Training Epoch: 20 [13056/48750]	Loss: 0.2520	LR: 0.000800
Training Epoch: 20 [13312/48750]	Loss: 0.2649	LR: 0.000800
Training Epoch: 20 [13568/48750]	Loss: 0.2552	LR: 0.000800
Training Epoch: 20 [13824/48750]	Loss: 0.3065	LR: 0.000800
Training Epoch: 20 [14080/48750]	Loss: 0.3075	LR: 0.000800
Training Epoch: 20 [14336/48750]	Loss: 0.2714	LR: 0.000800
Training Epoch: 20 [14592/48750]	Loss: 0.2646	LR: 0.000800
Training Epoch: 20 [14848/48750]	Loss: 0.3334	LR: 0.000800
Training Epoch: 20 [15104/48750]	Loss: 0.2565	LR: 0.000800
Training Epoch: 20 [15360/48750]	Loss: 0.2325	LR: 0.000800
Training Epoch: 20 [15616/48750]	Loss: 0.2933	LR: 0.000800
Training Epoch: 20 [15872/48750]	Loss: 0.2756	LR: 0.000800
Training Epoch: 20 [16128/48750]	Loss: 0.2071	LR: 0.000800
Training Epoch: 20 [16384/48750]	Loss: 0.2640	LR: 0.000800
Training Epoch: 20 [16640/48750]	Loss: 0.2189	LR: 0.000800
Training Epoch: 20 [16896/48750]	Loss: 0.2739	LR: 0.000800
Training Epoch: 20 [17152/48750]	Loss: 0.2164	LR: 0.000800
Training Epoch: 20 [17408/48750]	Loss: 0.1760	LR: 0.000800
Training Epoch: 20 [17664/48750]	Loss: 0.2716	LR: 0.000800
Training Epoch: 20 [17920/48750]	Loss: 0.2588	LR: 0.000800
Training Epoch: 20 [18176/48750]	Loss: 0.1975	LR: 0.000800
Training Epoch: 20 [18432/48750]	Loss: 0.2835	LR: 0.000800
Training Epoch: 20 [18688/48750]	Loss: 0.2646	LR: 0.000800
Training Epoch: 20 [18944/48750]	Loss: 0.2662	LR: 0.000800
Training Epoch: 20 [19200/48750]	Loss: 0.3343	LR: 0.000800
Training Epoch: 20 [19456/48750]	Loss: 0.2703	LR: 0.000800
Training Epoch: 20 [19712/48750]	Loss: 0.2207	LR: 0.000800
Training Epoch: 20 [19968/48750]	Loss: 0.2211	LR: 0.000800
Training Epoch: 20 [20224/48750]	Loss: 0.2667	LR: 0.000800
Training Epoch: 20 [20480/48750]	Loss: 0.3210	LR: 0.000800
Training Epoch: 20 [20736/48750]	Loss: 0.2621	LR: 0.000800
Training Epoch: 20 [20992/48750]	Loss: 0.2044	LR: 0.000800
Training Epoch: 20 [21248/48750]	Loss: 0.2670	LR: 0.000800
Training Epoch: 20 [21504/48750]	Loss: 0.2033	LR: 0.000800
Training Epoch: 20 [21760/48750]	Loss: 0.2150	LR: 0.000800
Training Epoch: 20 [22016/48750]	Loss: 0.2157	LR: 0.000800
Training Epoch: 20 [22272/48750]	Loss: 0.2070	LR: 0.000800
Training Epoch: 20 [22528/48750]	Loss: 0.2374	LR: 0.000800
Training Epoch: 20 [22784/48750]	Loss: 0.1952	LR: 0.000800
Training Epoch: 20 [23040/48750]	Loss: 0.1999	LR: 0.000800
Training Epoch: 20 [23296/48750]	Loss: 0.3258	LR: 0.000800
Training Epoch: 20 [23552/48750]	Loss: 0.2243	LR: 0.000800
Training Epoch: 20 [23808/48750]	Loss: 0.2145	LR: 0.000800
Training Epoch: 20 [24064/48750]	Loss: 0.2962	LR: 0.000800
Training Epoch: 20 [24320/48750]	Loss: 0.2061	LR: 0.000800
Training Epoch: 20 [24576/48750]	Loss: 0.2415	LR: 0.000800
Training Epoch: 20 [24832/48750]	Loss: 0.2521	LR: 0.000800
Training Epoch: 20 [25088/48750]	Loss: 0.2251	LR: 0.000800
Training Epoch: 20 [25344/48750]	Loss: 0.2937	LR: 0.000800
Training Epoch: 20 [25600/48750]	Loss: 0.1988	LR: 0.000800
Training Epoch: 20 [25856/48750]	Loss: 0.2732	LR: 0.000800
Training Epoch: 20 [26112/48750]	Loss: 0.2644	LR: 0.000800
Training Epoch: 20 [26368/48750]	Loss: 0.2699	LR: 0.000800
Training Epoch: 20 [26624/48750]	Loss: 0.2754	LR: 0.000800
Training Epoch: 20 [26880/48750]	Loss: 0.2878	LR: 0.000800
Training Epoch: 20 [27136/48750]	Loss: 0.2819	LR: 0.000800
Training Epoch: 20 [27392/48750]	Loss: 0.2469	LR: 0.000800
Training Epoch: 20 [27648/48750]	Loss: 0.2682	LR: 0.000800
Training Epoch: 20 [27904/48750]	Loss: 0.3255	LR: 0.000800
Training Epoch: 20 [28160/48750]	Loss: 0.3379	LR: 0.000800
Training Epoch: 20 [28416/48750]	Loss: 0.2777	LR: 0.000800
Training Epoch: 20 [28672/48750]	Loss: 0.3090	LR: 0.000800
Training Epoch: 20 [28928/48750]	Loss: 0.2067	LR: 0.000800
Training Epoch: 20 [29184/48750]	Loss: 0.3324	LR: 0.000800
Training Epoch: 20 [29440/48750]	Loss: 0.2287	LR: 0.000800
Training Epoch: 20 [29696/48750]	Loss: 0.2827	LR: 0.000800
Training Epoch: 20 [29952/48750]	Loss: 0.2777	LR: 0.000800
Training Epoch: 20 [30208/48750]	Loss: 0.2541	LR: 0.000800
Training Epoch: 20 [30464/48750]	Loss: 0.2085	LR: 0.000800
Training Epoch: 20 [30720/48750]	Loss: 0.2755	LR: 0.000800
Training Epoch: 20 [30976/48750]	Loss: 0.2273	LR: 0.000800
Training Epoch: 20 [31232/48750]	Loss: 0.1797	LR: 0.000800
Training Epoch: 20 [31488/48750]	Loss: 0.1841	LR: 0.000800
Training Epoch: 20 [31744/48750]	Loss: 0.1861	LR: 0.000800
Training Epoch: 20 [32000/48750]	Loss: 0.3417	LR: 0.000800
Training Epoch: 20 [32256/48750]	Loss: 0.3075	LR: 0.000800
Training Epoch: 20 [32512/48750]	Loss: 0.2461	LR: 0.000800
Training Epoch: 20 [32768/48750]	Loss: 0.2586	LR: 0.000800
Training Epoch: 20 [33024/48750]	Loss: 0.2504	LR: 0.000800
Training Epoch: 20 [33280/48750]	Loss: 0.2543	LR: 0.000800
Training Epoch: 20 [33536/48750]	Loss: 0.3228	LR: 0.000800
Training Epoch: 20 [33792/48750]	Loss: 0.2116	LR: 0.000800
Training Epoch: 20 [34048/48750]	Loss: 0.2573	LR: 0.000800
Training Epoch: 20 [34304/48750]	Loss: 0.2182	LR: 0.000800
Training Epoch: 20 [34560/48750]	Loss: 0.2304	LR: 0.000800
Training Epoch: 20 [34816/48750]	Loss: 0.3018	LR: 0.000800
Training Epoch: 20 [35072/48750]	Loss: 0.2595	LR: 0.000800
Training Epoch: 20 [35328/48750]	Loss: 0.1754	LR: 0.000800
Training Epoch: 20 [35584/48750]	Loss: 0.2845	LR: 0.000800
Training Epoch: 20 [35840/48750]	Loss: 0.3106	LR: 0.000800
Training Epoch: 20 [36096/48750]	Loss: 0.2807	LR: 0.000800
Training Epoch: 20 [36352/48750]	Loss: 0.2941	LR: 0.000800
Training Epoch: 20 [36608/48750]	Loss: 0.2588	LR: 0.000800
Training Epoch: 20 [36864/48750]	Loss: 0.2535	LR: 0.000800
Training Epoch: 20 [37120/48750]	Loss: 0.2472	LR: 0.000800
Training Epoch: 20 [37376/48750]	Loss: 0.3033	LR: 0.000800
Training Epoch: 20 [37632/48750]	Loss: 0.2468	LR: 0.000800
Training Epoch: 20 [37888/48750]	Loss: 0.2672	LR: 0.000800
Training Epoch: 20 [38144/48750]	Loss: 0.3412	LR: 0.000800
Training Epoch: 20 [38400/48750]	Loss: 0.2322	LR: 0.000800
Training Epoch: 20 [38656/48750]	Loss: 0.2084	LR: 0.000800
Training Epoch: 20 [38912/48750]	Loss: 0.2653	LR: 0.000800
Training Epoch: 20 [39168/48750]	Loss: 0.2168	LR: 0.000800
Training Epoch: 20 [39424/48750]	Loss: 0.2127	LR: 0.000800
Training Epoch: 20 [39680/48750]	Loss: 0.2767	LR: 0.000800
Training Epoch: 20 [39936/48750]	Loss: 0.2334	LR: 0.000800
Training Epoch: 20 [40192/48750]	Loss: 0.2481	LR: 0.000800
Training Epoch: 20 [40448/48750]	Loss: 0.2876	LR: 0.000800
Training Epoch: 20 [40704/48750]	Loss: 0.2761	LR: 0.000800
Training Epoch: 20 [40960/48750]	Loss: 0.2263	LR: 0.000800
Training Epoch: 20 [41216/48750]	Loss: 0.2444	LR: 0.000800
Training Epoch: 20 [41472/48750]	Loss: 0.2459	LR: 0.000800
Training Epoch: 20 [41728/48750]	Loss: 0.1838	LR: 0.000800
Training Epoch: 20 [41984/48750]	Loss: 0.2221	LR: 0.000800
Training Epoch: 20 [42240/48750]	Loss: 0.2083	LR: 0.000800
Training Epoch: 20 [42496/48750]	Loss: 0.2731	LR: 0.000800
Training Epoch: 20 [42752/48750]	Loss: 0.3068	LR: 0.000800
Training Epoch: 20 [43008/48750]	Loss: 0.2820	LR: 0.000800
Training Epoch: 20 [43264/48750]	Loss: 0.2460	LR: 0.000800
Training Epoch: 20 [43520/48750]	Loss: 0.3405	LR: 0.000800
Training Epoch: 20 [43776/48750]	Loss: 0.1980	LR: 0.000800
Training Epoch: 20 [44032/48750]	Loss: 0.2026	LR: 0.000800
Training Epoch: 20 [44288/48750]	Loss: 0.2473	LR: 0.000800
Training Epoch: 20 [44544/48750]	Loss: 0.3470	LR: 0.000800
Training Epoch: 20 [44800/48750]	Loss: 0.3066	LR: 0.000800
Training Epoch: 20 [45056/48750]	Loss: 0.2087	LR: 0.000800
Training Epoch: 20 [45312/48750]	Loss: 0.3401	LR: 0.000800
Training Epoch: 20 [45568/48750]	Loss: 0.2805	LR: 0.000800
Training Epoch: 20 [45824/48750]	Loss: 0.3601	LR: 0.000800
Training Epoch: 20 [46080/48750]	Loss: 0.2163	LR: 0.000800
Training Epoch: 20 [46336/48750]	Loss: 0.2790	LR: 0.000800
Training Epoch: 20 [46592/48750]	Loss: 0.2109	LR: 0.000800
Training Epoch: 20 [46848/48750]	Loss: 0.2913	LR: 0.000800
Training Epoch: 20 [47104/48750]	Loss: 0.3151	LR: 0.000800
Training Epoch: 20 [47360/48750]	Loss: 0.2817	LR: 0.000800
Training Epoch: 20 [47616/48750]	Loss: 0.2816	LR: 0.000800
Training Epoch: 20 [47872/48750]	Loss: 0.1922	LR: 0.000800
Training Epoch: 20 [48128/48750]	Loss: 0.1777	LR: 0.000800
Training Epoch: 20 [48384/48750]	Loss: 0.2694	LR: 0.000800
Training Epoch: 20 [48640/48750]	Loss: 0.2449	LR: 0.000800
Training Epoch: 20 [48750/48750]	Loss: 0.3159	LR: 0.000800
Epoch 20 - Average Train Loss: 0.2568, Train Accuracy: 0.9106
Epoch 20 training time consumed: 30.00s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0013, Accuracy: 0.8939, Time consumed:1.06s
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: 0.7120
Set1 Distribution: 1250 samples
Set2 Distribution: 1250 samples
MIA Attack Accuracy with XGBoost: 0.4980
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
MIA Attack Accuracy with XGBoost: 0.6603
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
MIA Attack Accuracy with XGBoost: 0.5102
Test Accuracy: 91.552734375
Retain Accuracy: 93.97980499267578
Zero-Retain Forget (ZRF): 0.8256220817565918
Membership Inference Attack (MIA): 0.6872
Forget vs Retain Membership Inference Attack (MIA): 0.712
Forget vs Test Membership Inference Attack (MIA): 0.498
Test vs Retain Membership Inference Attack (MIA): 0.66025
Train vs Test Membership Inference Attack (MIA): 0.51025
Forget Set Accuracy (Df): 93.92214965820312
Method Execution Time: 2562.41 seconds
