hello
hello

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

📊 Updated class distribution:
Retain set:
  Class 0: 4875
  Class 1: 4875
  Class 2: 4875
  Class 3: 4875
  Class 4: 4875
  Class 5: 4875
  Class 6: 4875
  Class 7: 4875
  Class 8: 4875
  Class 9: 4875
Forget set:
  Class 0: 125
  Class 1: 125
  Class 2: 125
  Class 3: 125
  Class 4: 125
  Class 5: 125
  Class 6: 125
  Class 7: 125
  Class 8: 125
  Class 9: 125
hello
hello
⚠️ Warning: Retain train loader may not be shuffled.
Training Epoch: 1 [256/48750]	Loss: 2.3280	LR: 0.000000
Training Epoch: 1 [512/48750]	Loss: 2.3375	LR: 0.000524
Training Epoch: 1 [768/48750]	Loss: 2.3595	LR: 0.001047
Training Epoch: 1 [1024/48750]	Loss: 2.3307	LR: 0.001571
Training Epoch: 1 [1280/48750]	Loss: 2.2923	LR: 0.002094
Training Epoch: 1 [1536/48750]	Loss: 2.3039	LR: 0.002618
Training Epoch: 1 [1792/48750]	Loss: 2.2782	LR: 0.003141
Training Epoch: 1 [2048/48750]	Loss: 2.2451	LR: 0.003665
Training Epoch: 1 [2304/48750]	Loss: 2.2408	LR: 0.004188
Training Epoch: 1 [2560/48750]	Loss: 2.2546	LR: 0.004712
Training Epoch: 1 [2816/48750]	Loss: 2.2213	LR: 0.005236
Training Epoch: 1 [3072/48750]	Loss: 2.2718	LR: 0.005759
Training Epoch: 1 [3328/48750]	Loss: 2.1679	LR: 0.006283
Training Epoch: 1 [3584/48750]	Loss: 2.1180	LR: 0.006806
Training Epoch: 1 [3840/48750]	Loss: 2.1561	LR: 0.007330
Training Epoch: 1 [4096/48750]	Loss: 2.0589	LR: 0.007853
Training Epoch: 1 [4352/48750]	Loss: 1.9541	LR: 0.008377
Training Epoch: 1 [4608/48750]	Loss: 1.9902	LR: 0.008901
Training Epoch: 1 [4864/48750]	Loss: 1.9731	LR: 0.009424
Training Epoch: 1 [5120/48750]	Loss: 1.9458	LR: 0.009948
Training Epoch: 1 [5376/48750]	Loss: 1.9316	LR: 0.010471
Training Epoch: 1 [5632/48750]	Loss: 1.9055	LR: 0.010995
Training Epoch: 1 [5888/48750]	Loss: 1.8901	LR: 0.011518
Training Epoch: 1 [6144/48750]	Loss: 1.8235	LR: 0.012042
Training Epoch: 1 [6400/48750]	Loss: 1.8602	LR: 0.012565
Training Epoch: 1 [6656/48750]	Loss: 1.8646	LR: 0.013089
Training Epoch: 1 [6912/48750]	Loss: 1.9424	LR: 0.013613
Training Epoch: 1 [7168/48750]	Loss: 1.8583	LR: 0.014136
Training Epoch: 1 [7424/48750]	Loss: 1.8523	LR: 0.014660
Training Epoch: 1 [7680/48750]	Loss: 1.8401	LR: 0.015183
Training Epoch: 1 [7936/48750]	Loss: 1.7956	LR: 0.015707
Training Epoch: 1 [8192/48750]	Loss: 1.8145	LR: 0.016230
Training Epoch: 1 [8448/48750]	Loss: 1.9659	LR: 0.016754
Training Epoch: 1 [8704/48750]	Loss: 1.8433	LR: 0.017277
Training Epoch: 1 [8960/48750]	Loss: 1.7837	LR: 0.017801
Training Epoch: 1 [9216/48750]	Loss: 1.7552	LR: 0.018325
Training Epoch: 1 [9472/48750]	Loss: 1.7930	LR: 0.018848
Training Epoch: 1 [9728/48750]	Loss: 1.7634	LR: 0.019372
Training Epoch: 1 [9984/48750]	Loss: 1.8932	LR: 0.019895
Training Epoch: 1 [10240/48750]	Loss: 1.9065	LR: 0.020419
Training Epoch: 1 [10496/48750]	Loss: 1.7870	LR: 0.020942
Training Epoch: 1 [10752/48750]	Loss: 1.7276	LR: 0.021466
Training Epoch: 1 [11008/48750]	Loss: 1.8041	LR: 0.021990
Training Epoch: 1 [11264/48750]	Loss: 1.7562	LR: 0.022513
Training Epoch: 1 [11520/48750]	Loss: 1.7376	LR: 0.023037
Training Epoch: 1 [11776/48750]	Loss: 1.9963	LR: 0.023560
Training Epoch: 1 [12032/48750]	Loss: 1.9260	LR: 0.024084
Training Epoch: 1 [12288/48750]	Loss: 1.6899	LR: 0.024607
Training Epoch: 1 [12544/48750]	Loss: 1.7969	LR: 0.025131
Training Epoch: 1 [12800/48750]	Loss: 1.8115	LR: 0.025654
Training Epoch: 1 [13056/48750]	Loss: 1.7386	LR: 0.026178
Training Epoch: 1 [13312/48750]	Loss: 1.8009	LR: 0.026702
Training Epoch: 1 [13568/48750]	Loss: 1.7107	LR: 0.027225
Training Epoch: 1 [13824/48750]	Loss: 2.0648	LR: 0.027749
Training Epoch: 1 [14080/48750]	Loss: 1.7455	LR: 0.028272
Training Epoch: 1 [14336/48750]	Loss: 1.8633	LR: 0.028796
Training Epoch: 1 [14592/48750]	Loss: 1.8341	LR: 0.029319
Training Epoch: 1 [14848/48750]	Loss: 1.7780	LR: 0.029843
Training Epoch: 1 [15104/48750]	Loss: 1.5256	LR: 0.030366
Training Epoch: 1 [15360/48750]	Loss: 1.7160	LR: 0.030890
Training Epoch: 1 [15616/48750]	Loss: 1.8133	LR: 0.031414
Training Epoch: 1 [15872/48750]	Loss: 1.6446	LR: 0.031937
Training Epoch: 1 [16128/48750]	Loss: 1.7154	LR: 0.032461
Training Epoch: 1 [16384/48750]	Loss: 1.8458	LR: 0.032984
Training Epoch: 1 [16640/48750]	Loss: 1.6695	LR: 0.033508
Training Epoch: 1 [16896/48750]	Loss: 1.7773	LR: 0.034031
Training Epoch: 1 [17152/48750]	Loss: 1.6283	LR: 0.034555
Training Epoch: 1 [17408/48750]	Loss: 1.7331	LR: 0.035079
Training Epoch: 1 [17664/48750]	Loss: 1.8316	LR: 0.035602
Training Epoch: 1 [17920/48750]	Loss: 1.7782	LR: 0.036126
Training Epoch: 1 [18176/48750]	Loss: 1.7332	LR: 0.036649
Training Epoch: 1 [18432/48750]	Loss: 1.5428	LR: 0.037173
Training Epoch: 1 [18688/48750]	Loss: 1.4538	LR: 0.037696
Training Epoch: 1 [18944/48750]	Loss: 1.7785	LR: 0.038220
Training Epoch: 1 [19200/48750]	Loss: 1.6047	LR: 0.038743
Training Epoch: 1 [19456/48750]	Loss: 1.4889	LR: 0.039267
Training Epoch: 1 [19712/48750]	Loss: 1.8169	LR: 0.039791
Training Epoch: 1 [19968/48750]	Loss: 1.6955	LR: 0.040314
Training Epoch: 1 [20224/48750]	Loss: 1.5802	LR: 0.040838
Training Epoch: 1 [20480/48750]	Loss: 1.6534	LR: 0.041361
Training Epoch: 1 [20736/48750]	Loss: 1.6433	LR: 0.041885
Training Epoch: 1 [20992/48750]	Loss: 1.6212	LR: 0.042408
Training Epoch: 1 [21248/48750]	Loss: 1.7795	LR: 0.042932
Training Epoch: 1 [21504/48750]	Loss: 1.6428	LR: 0.043455
Training Epoch: 1 [21760/48750]	Loss: 1.5476	LR: 0.043979
Training Epoch: 1 [22016/48750]	Loss: 1.7737	LR: 0.044503
Training Epoch: 1 [22272/48750]	Loss: 1.5305	LR: 0.045026
Training Epoch: 1 [22528/48750]	Loss: 1.7550	LR: 0.045550
Training Epoch: 1 [22784/48750]	Loss: 1.5539	LR: 0.046073
Training Epoch: 1 [23040/48750]	Loss: 1.6731	LR: 0.046597
Training Epoch: 1 [23296/48750]	Loss: 1.7029	LR: 0.047120
Training Epoch: 1 [23552/48750]	Loss: 1.7337	LR: 0.047644
Training Epoch: 1 [23808/48750]	Loss: 1.6618	LR: 0.048168
Training Epoch: 1 [24064/48750]	Loss: 1.7006	LR: 0.048691
Training Epoch: 1 [24320/48750]	Loss: 1.8199	LR: 0.049215
Training Epoch: 1 [24576/48750]	Loss: 1.6506	LR: 0.049738
Training Epoch: 1 [24832/48750]	Loss: 1.5359	LR: 0.050262
Training Epoch: 1 [25088/48750]	Loss: 1.7566	LR: 0.050785
Training Epoch: 1 [25344/48750]	Loss: 1.6246	LR: 0.051309
Training Epoch: 1 [25600/48750]	Loss: 1.5760	LR: 0.051832
Training Epoch: 1 [25856/48750]	Loss: 1.5105	LR: 0.052356
Training Epoch: 1 [26112/48750]	Loss: 1.7621	LR: 0.052880
Training Epoch: 1 [26368/48750]	Loss: 1.5934	LR: 0.053403
Training Epoch: 1 [26624/48750]	Loss: 1.7123	LR: 0.053927
Training Epoch: 1 [26880/48750]	Loss: 1.7480	LR: 0.054450
Training Epoch: 1 [27136/48750]	Loss: 1.6245	LR: 0.054974
Training Epoch: 1 [27392/48750]	Loss: 1.9298	LR: 0.055497
Training Epoch: 1 [27648/48750]	Loss: 1.6182	LR: 0.056021
Training Epoch: 1 [27904/48750]	Loss: 1.7447	LR: 0.056545
Training Epoch: 1 [28160/48750]	Loss: 1.6626	LR: 0.057068
Training Epoch: 1 [28416/48750]	Loss: 1.7035	LR: 0.057592
Training Epoch: 1 [28672/48750]	Loss: 1.7606	LR: 0.058115
Training Epoch: 1 [28928/48750]	Loss: 1.7658	LR: 0.058639
Training Epoch: 1 [29184/48750]	Loss: 1.5171	LR: 0.059162
Training Epoch: 1 [29440/48750]	Loss: 1.7985	LR: 0.059686
Training Epoch: 1 [29696/48750]	Loss: 1.6071	LR: 0.060209
Training Epoch: 1 [29952/48750]	Loss: 1.6223	LR: 0.060733
Training Epoch: 1 [30208/48750]	Loss: 1.5653	LR: 0.061257
Training Epoch: 1 [30464/48750]	Loss: 1.7106	LR: 0.061780
Training Epoch: 1 [30720/48750]	Loss: 1.7209	LR: 0.062304
Training Epoch: 1 [30976/48750]	Loss: 1.5858	LR: 0.062827
Training Epoch: 1 [31232/48750]	Loss: 1.9198	LR: 0.063351
Training Epoch: 1 [31488/48750]	Loss: 1.5990	LR: 0.063874
Training Epoch: 1 [31744/48750]	Loss: 1.7722	LR: 0.064398
Training Epoch: 1 [32000/48750]	Loss: 1.7011	LR: 0.064921
Training Epoch: 1 [32256/48750]	Loss: 1.4582	LR: 0.065445
Training Epoch: 1 [32512/48750]	Loss: 1.7280	LR: 0.065969
Training Epoch: 1 [32768/48750]	Loss: 1.8207	LR: 0.066492
Training Epoch: 1 [33024/48750]	Loss: 1.7715	LR: 0.067016
Training Epoch: 1 [33280/48750]	Loss: 1.5471	LR: 0.067539
Training Epoch: 1 [33536/48750]	Loss: 1.7958	LR: 0.068063
Training Epoch: 1 [33792/48750]	Loss: 1.7051	LR: 0.068586
Training Epoch: 1 [34048/48750]	Loss: 1.6210	LR: 0.069110
Training Epoch: 1 [34304/48750]	Loss: 1.6262	LR: 0.069634
Training Epoch: 1 [34560/48750]	Loss: 1.4939	LR: 0.070157
Training Epoch: 1 [34816/48750]	Loss: 1.5697	LR: 0.070681
Training Epoch: 1 [35072/48750]	Loss: 1.6438	LR: 0.071204
Training Epoch: 1 [35328/48750]	Loss: 1.6356	LR: 0.071728
Training Epoch: 1 [35584/48750]	Loss: 1.5961	LR: 0.072251
Training Epoch: 1 [35840/48750]	Loss: 1.7266	LR: 0.072775
Training Epoch: 1 [36096/48750]	Loss: 1.6029	LR: 0.073298
Training Epoch: 1 [36352/48750]	Loss: 1.5928	LR: 0.073822
Training Epoch: 1 [36608/48750]	Loss: 1.4789	LR: 0.074346
Training Epoch: 1 [36864/48750]	Loss: 1.5694	LR: 0.074869
Training Epoch: 1 [37120/48750]	Loss: 1.4814	LR: 0.075393
Training Epoch: 1 [37376/48750]	Loss: 1.5477	LR: 0.075916
Training Epoch: 1 [37632/48750]	Loss: 1.5082	LR: 0.076440
Training Epoch: 1 [37888/48750]	Loss: 1.5040	LR: 0.076963
Training Epoch: 1 [38144/48750]	Loss: 1.4707	LR: 0.077487
Training Epoch: 1 [38400/48750]	Loss: 1.4692	LR: 0.078010
Training Epoch: 1 [38656/48750]	Loss: 1.6017	LR: 0.078534
Training Epoch: 1 [38912/48750]	Loss: 1.4003	LR: 0.079058
Training Epoch: 1 [39168/48750]	Loss: 1.5082	LR: 0.079581
Training Epoch: 1 [39424/48750]	Loss: 1.4858	LR: 0.080105
Training Epoch: 1 [39680/48750]	Loss: 1.4420	LR: 0.080628
Training Epoch: 1 [39936/48750]	Loss: 1.4552	LR: 0.081152
Training Epoch: 1 [40192/48750]	Loss: 1.3574	LR: 0.081675
Training Epoch: 1 [40448/48750]	Loss: 1.4475	LR: 0.082199
Training Epoch: 1 [40704/48750]	Loss: 1.5140	LR: 0.082723
Training Epoch: 1 [40960/48750]	Loss: 1.5025	LR: 0.083246
Training Epoch: 1 [41216/48750]	Loss: 1.6536	LR: 0.083770
Training Epoch: 1 [41472/48750]	Loss: 1.5722	LR: 0.084293
Training Epoch: 1 [41728/48750]	Loss: 1.4902	LR: 0.084817
Training Epoch: 1 [41984/48750]	Loss: 1.5211	LR: 0.085340
Training Epoch: 1 [42240/48750]	Loss: 1.6246	LR: 0.085864
Training Epoch: 1 [42496/48750]	Loss: 1.3812	LR: 0.086387
Training Epoch: 1 [42752/48750]	Loss: 1.5939	LR: 0.086911
Training Epoch: 1 [43008/48750]	Loss: 1.5410	LR: 0.087435
Training Epoch: 1 [43264/48750]	Loss: 1.4343	LR: 0.087958
Training Epoch: 1 [43520/48750]	Loss: 1.4637	LR: 0.088482
Training Epoch: 1 [43776/48750]	Loss: 1.4207	LR: 0.089005
Training Epoch: 1 [44032/48750]	Loss: 1.5983	LR: 0.089529
Training Epoch: 1 [44288/48750]	Loss: 1.4173	LR: 0.090052
Training Epoch: 1 [44544/48750]	Loss: 1.3502	LR: 0.090576
Training Epoch: 1 [44800/48750]	Loss: 1.5844	LR: 0.091099
Training Epoch: 1 [45056/48750]	Loss: 1.5314	LR: 0.091623
Training Epoch: 1 [45312/48750]	Loss: 1.5666	LR: 0.092147
Training Epoch: 1 [45568/48750]	Loss: 1.4969	LR: 0.092670
Training Epoch: 1 [45824/48750]	Loss: 1.4991	LR: 0.093194
Training Epoch: 1 [46080/48750]	Loss: 1.3765	LR: 0.093717
Training Epoch: 1 [46336/48750]	Loss: 1.4406	LR: 0.094241
Training Epoch: 1 [46592/48750]	Loss: 1.5009	LR: 0.094764
Training Epoch: 1 [46848/48750]	Loss: 1.3794	LR: 0.095288
Training Epoch: 1 [47104/48750]	Loss: 1.5348	LR: 0.095812
Training Epoch: 1 [47360/48750]	Loss: 1.4647	LR: 0.096335
Training Epoch: 1 [47616/48750]	Loss: 1.4080	LR: 0.096859
Training Epoch: 1 [47872/48750]	Loss: 1.6830	LR: 0.097382
Training Epoch: 1 [48128/48750]	Loss: 1.3585	LR: 0.097906
Training Epoch: 1 [48384/48750]	Loss: 1.5039	LR: 0.098429
Training Epoch: 1 [48640/48750]	Loss: 1.4180	LR: 0.098953
Training Epoch: 1 [48750/48750]	Loss: 1.6254	LR: 0.099476
Epoch 1 - Average Train Loss: 1.7131, Train Accuracy: 0.3730
Epoch 1 training time consumed: 30.18s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0094, Accuracy: 0.4023, Time consumed:1.02s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_15h_16m_09s/ResNet18-Cifar10-seed3-ret75-1-best.pth
Training Epoch: 2 [256/48750]	Loss: 1.6498	LR: 0.100000
Training Epoch: 2 [512/48750]	Loss: 1.4803	LR: 0.100000
Training Epoch: 2 [768/48750]	Loss: 1.5374	LR: 0.100000
Training Epoch: 2 [1024/48750]	Loss: 1.4295	LR: 0.100000
Training Epoch: 2 [1280/48750]	Loss: 1.4949	LR: 0.100000
Training Epoch: 2 [1536/48750]	Loss: 1.2636	LR: 0.100000
Training Epoch: 2 [1792/48750]	Loss: 1.4191	LR: 0.100000
Training Epoch: 2 [2048/48750]	Loss: 1.3686	LR: 0.100000
Training Epoch: 2 [2304/48750]	Loss: 1.3705	LR: 0.100000
Training Epoch: 2 [2560/48750]	Loss: 1.2925	LR: 0.100000
Training Epoch: 2 [2816/48750]	Loss: 1.4863	LR: 0.100000
Training Epoch: 2 [3072/48750]	Loss: 1.3565	LR: 0.100000
Training Epoch: 2 [3328/48750]	Loss: 1.3732	LR: 0.100000
Training Epoch: 2 [3584/48750]	Loss: 1.3204	LR: 0.100000
Training Epoch: 2 [3840/48750]	Loss: 1.4896	LR: 0.100000
Training Epoch: 2 [4096/48750]	Loss: 1.3936	LR: 0.100000
Training Epoch: 2 [4352/48750]	Loss: 1.4851	LR: 0.100000
Training Epoch: 2 [4608/48750]	Loss: 1.4639	LR: 0.100000
Training Epoch: 2 [4864/48750]	Loss: 1.2420	LR: 0.100000
Training Epoch: 2 [5120/48750]	Loss: 1.3472	LR: 0.100000
Training Epoch: 2 [5376/48750]	Loss: 1.3769	LR: 0.100000
Training Epoch: 2 [5632/48750]	Loss: 1.2725	LR: 0.100000
Training Epoch: 2 [5888/48750]	Loss: 1.2718	LR: 0.100000
Training Epoch: 2 [6144/48750]	Loss: 1.3554	LR: 0.100000
Training Epoch: 2 [6400/48750]	Loss: 1.3164	LR: 0.100000
Training Epoch: 2 [6656/48750]	Loss: 1.3129	LR: 0.100000
Training Epoch: 2 [6912/48750]	Loss: 1.2799	LR: 0.100000
Training Epoch: 2 [7168/48750]	Loss: 1.3033	LR: 0.100000
Training Epoch: 2 [7424/48750]	Loss: 1.1970	LR: 0.100000
Training Epoch: 2 [7680/48750]	Loss: 1.3954	LR: 0.100000
Training Epoch: 2 [7936/48750]	Loss: 1.3854	LR: 0.100000
Training Epoch: 2 [8192/48750]	Loss: 1.2197	LR: 0.100000
Training Epoch: 2 [8448/48750]	Loss: 1.4537	LR: 0.100000
Training Epoch: 2 [8704/48750]	Loss: 1.2405	LR: 0.100000
Training Epoch: 2 [8960/48750]	Loss: 1.3184	LR: 0.100000
Training Epoch: 2 [9216/48750]	Loss: 1.3525	LR: 0.100000
Training Epoch: 2 [9472/48750]	Loss: 1.3089	LR: 0.100000
Training Epoch: 2 [9728/48750]	Loss: 1.2784	LR: 0.100000
Training Epoch: 2 [9984/48750]	Loss: 1.4646	LR: 0.100000
Training Epoch: 2 [10240/48750]	Loss: 1.2857	LR: 0.100000
Training Epoch: 2 [10496/48750]	Loss: 1.2151	LR: 0.100000
Training Epoch: 2 [10752/48750]	Loss: 1.2641	LR: 0.100000
Training Epoch: 2 [11008/48750]	Loss: 1.2835	LR: 0.100000
Training Epoch: 2 [11264/48750]	Loss: 1.1488	LR: 0.100000
Training Epoch: 2 [11520/48750]	Loss: 1.1379	LR: 0.100000
Training Epoch: 2 [11776/48750]	Loss: 1.3181	LR: 0.100000
Training Epoch: 2 [12032/48750]	Loss: 1.2030	LR: 0.100000
Training Epoch: 2 [12288/48750]	Loss: 1.3160	LR: 0.100000
Training Epoch: 2 [12544/48750]	Loss: 1.2886	LR: 0.100000
Training Epoch: 2 [12800/48750]	Loss: 1.2000	LR: 0.100000
Training Epoch: 2 [13056/48750]	Loss: 1.2992	LR: 0.100000
Training Epoch: 2 [13312/48750]	Loss: 1.3744	LR: 0.100000
Training Epoch: 2 [13568/48750]	Loss: 1.3368	LR: 0.100000
Training Epoch: 2 [13824/48750]	Loss: 1.3078	LR: 0.100000
Training Epoch: 2 [14080/48750]	Loss: 1.3112	LR: 0.100000
Training Epoch: 2 [14336/48750]	Loss: 1.3527	LR: 0.100000
Training Epoch: 2 [14592/48750]	Loss: 1.3122	LR: 0.100000
Training Epoch: 2 [14848/48750]	Loss: 1.3190	LR: 0.100000
Training Epoch: 2 [15104/48750]	Loss: 1.3212	LR: 0.100000
Training Epoch: 2 [15360/48750]	Loss: 1.3038	LR: 0.100000
Training Epoch: 2 [15616/48750]	Loss: 1.3172	LR: 0.100000
Training Epoch: 2 [15872/48750]	Loss: 1.3582	LR: 0.100000
Training Epoch: 2 [16128/48750]	Loss: 1.2215	LR: 0.100000
Training Epoch: 2 [16384/48750]	Loss: 1.2869	LR: 0.100000
Training Epoch: 2 [16640/48750]	Loss: 1.3592	LR: 0.100000
Training Epoch: 2 [16896/48750]	Loss: 1.2463	LR: 0.100000
Training Epoch: 2 [17152/48750]	Loss: 1.2902	LR: 0.100000
Training Epoch: 2 [17408/48750]	Loss: 1.3142	LR: 0.100000
Training Epoch: 2 [17664/48750]	Loss: 1.2468	LR: 0.100000
Training Epoch: 2 [17920/48750]	Loss: 1.2669	LR: 0.100000
Training Epoch: 2 [18176/48750]	Loss: 1.2367	LR: 0.100000
Training Epoch: 2 [18432/48750]	Loss: 1.2539	LR: 0.100000
Training Epoch: 2 [18688/48750]	Loss: 1.1591	LR: 0.100000
Training Epoch: 2 [18944/48750]	Loss: 1.3331	LR: 0.100000
Training Epoch: 2 [19200/48750]	Loss: 1.4079	LR: 0.100000
Training Epoch: 2 [19456/48750]	Loss: 1.1409	LR: 0.100000
Training Epoch: 2 [19712/48750]	Loss: 1.1922	LR: 0.100000
Training Epoch: 2 [19968/48750]	Loss: 1.2732	LR: 0.100000
Training Epoch: 2 [20224/48750]	Loss: 1.3807	LR: 0.100000
Training Epoch: 2 [20480/48750]	Loss: 1.2578	LR: 0.100000
Training Epoch: 2 [20736/48750]	Loss: 1.1203	LR: 0.100000
Training Epoch: 2 [20992/48750]	Loss: 1.1814	LR: 0.100000
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Training Epoch: 2 [47616/48750]	Loss: 1.0744	LR: 0.100000
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Training Epoch: 2 [48640/48750]	Loss: 1.0377	LR: 0.100000
Training Epoch: 2 [48750/48750]	Loss: 1.3630	LR: 0.100000
Epoch 2 - Average Train Loss: 1.2243, Train Accuracy: 0.5604
Epoch 2 training time consumed: 29.11s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0055, Accuracy: 0.5766, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_15h_16m_09s/ResNet18-Cifar10-seed3-ret75-2-best.pth
Training Epoch: 3 [256/48750]	Loss: 1.1278	LR: 0.100000
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Training Epoch: 3 [48128/48750]	Loss: 0.7251	LR: 0.100000
Training Epoch: 3 [48384/48750]	Loss: 0.7096	LR: 0.100000
Training Epoch: 3 [48640/48750]	Loss: 0.9254	LR: 0.100000
Training Epoch: 3 [48750/48750]	Loss: 0.8643	LR: 0.100000
Epoch 3 - Average Train Loss: 0.9374, Train Accuracy: 0.6689
Epoch 3 training time consumed: 29.10s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0036, Accuracy: 0.6859, Time consumed:0.86s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_15h_16m_09s/ResNet18-Cifar10-seed3-ret75-3-best.pth
Training Epoch: 4 [256/48750]	Loss: 0.7311	LR: 0.100000
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Training Epoch: 4 [48750/48750]	Loss: 0.5803	LR: 0.100000
Epoch 4 - Average Train Loss: 0.7928, Train Accuracy: 0.7215
Epoch 4 training time consumed: 29.23s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0029, Accuracy: 0.7615, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_15h_16m_09s/ResNet18-Cifar10-seed3-ret75-4-best.pth
Training Epoch: 5 [256/48750]	Loss: 0.6676	LR: 0.100000
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Training Epoch: 5 [25088/48750]	Loss: 0.6915	LR: 0.100000
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Training Epoch: 5 [43776/48750]	Loss: 0.6053	LR: 0.100000
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Training Epoch: 5 [44288/48750]	Loss: 0.7004	LR: 0.100000
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Training Epoch: 5 [45056/48750]	Loss: 0.5390	LR: 0.100000
Training Epoch: 5 [45312/48750]	Loss: 0.7541	LR: 0.100000
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Training Epoch: 5 [45824/48750]	Loss: 0.7574	LR: 0.100000
Training Epoch: 5 [46080/48750]	Loss: 0.7544	LR: 0.100000
Training Epoch: 5 [46336/48750]	Loss: 0.7340	LR: 0.100000
Training Epoch: 5 [46592/48750]	Loss: 0.6563	LR: 0.100000
Training Epoch: 5 [46848/48750]	Loss: 0.6179	LR: 0.100000
Training Epoch: 5 [47104/48750]	Loss: 0.6789	LR: 0.100000
Training Epoch: 5 [47360/48750]	Loss: 0.6658	LR: 0.100000
Training Epoch: 5 [47616/48750]	Loss: 0.6952	LR: 0.100000
Training Epoch: 5 [47872/48750]	Loss: 0.6099	LR: 0.100000
Training Epoch: 5 [48128/48750]	Loss: 0.6810	LR: 0.100000
Training Epoch: 5 [48384/48750]	Loss: 0.6880	LR: 0.100000
Training Epoch: 5 [48640/48750]	Loss: 0.6882	LR: 0.100000
Training Epoch: 5 [48750/48750]	Loss: 0.7340	LR: 0.100000
Epoch 5 - Average Train Loss: 0.7013, Train Accuracy: 0.7552
Epoch 5 training time consumed: 29.21s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0029, Accuracy: 0.7588, Time consumed:0.87s
Training Epoch: 6 [256/48750]	Loss: 0.5990	LR: 0.100000
Training Epoch: 6 [512/48750]	Loss: 0.7306	LR: 0.100000
Training Epoch: 6 [768/48750]	Loss: 0.8466	LR: 0.100000
Training Epoch: 6 [1024/48750]	Loss: 0.8003	LR: 0.100000
Training Epoch: 6 [1280/48750]	Loss: 0.6544	LR: 0.100000
Training Epoch: 6 [1536/48750]	Loss: 0.7505	LR: 0.100000
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Training Epoch: 6 [2048/48750]	Loss: 0.8408	LR: 0.100000
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Training Epoch: 6 [2560/48750]	Loss: 0.6518	LR: 0.100000
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Training Epoch: 6 [45056/48750]	Loss: 0.6462	LR: 0.100000
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Training Epoch: 6 [45568/48750]	Loss: 0.6531	LR: 0.100000
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Training Epoch: 6 [46336/48750]	Loss: 0.5294	LR: 0.100000
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Training Epoch: 6 [46848/48750]	Loss: 0.6728	LR: 0.100000
Training Epoch: 6 [47104/48750]	Loss: 0.6047	LR: 0.100000
Training Epoch: 6 [47360/48750]	Loss: 0.6245	LR: 0.100000
Training Epoch: 6 [47616/48750]	Loss: 0.6605	LR: 0.100000
Training Epoch: 6 [47872/48750]	Loss: 0.6470	LR: 0.100000
Training Epoch: 6 [48128/48750]	Loss: 0.6941	LR: 0.100000
Training Epoch: 6 [48384/48750]	Loss: 0.5738	LR: 0.100000
Training Epoch: 6 [48640/48750]	Loss: 0.6222	LR: 0.100000
Training Epoch: 6 [48750/48750]	Loss: 0.6525	LR: 0.100000
Epoch 6 - Average Train Loss: 0.6428, Train Accuracy: 0.7765
Epoch 6 training time consumed: 29.26s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0027, Accuracy: 0.7690, Time consumed:0.98s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_15h_16m_09s/ResNet18-Cifar10-seed3-ret75-6-best.pth
Training Epoch: 7 [256/48750]	Loss: 0.5961	LR: 0.100000
Training Epoch: 7 [512/48750]	Loss: 0.5407	LR: 0.100000
Training Epoch: 7 [768/48750]	Loss: 0.6528	LR: 0.100000
Training Epoch: 7 [1024/48750]	Loss: 0.6176	LR: 0.100000
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Training Epoch: 7 [2048/48750]	Loss: 0.5785	LR: 0.100000
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Training Epoch: 7 [2560/48750]	Loss: 0.5740	LR: 0.100000
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Training Epoch: 7 [47872/48750]	Loss: 0.6518	LR: 0.100000
Training Epoch: 7 [48128/48750]	Loss: 0.6382	LR: 0.100000
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Training Epoch: 7 [48640/48750]	Loss: 0.7052	LR: 0.100000
Training Epoch: 7 [48750/48750]	Loss: 0.5971	LR: 0.100000
Epoch 7 - Average Train Loss: 0.5911, Train Accuracy: 0.7947
Epoch 7 training time consumed: 29.24s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0023, Accuracy: 0.8027, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_15h_16m_09s/ResNet18-Cifar10-seed3-ret75-7-best.pth
Training Epoch: 8 [256/48750]	Loss: 0.5308	LR: 0.020000
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Training Epoch: 8 [768/48750]	Loss: 0.4756	LR: 0.020000
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Training Epoch: 8 [27904/48750]	Loss: 0.4351	LR: 0.020000
Training Epoch: 8 [28160/48750]	Loss: 0.4265	LR: 0.020000
Training Epoch: 8 [28416/48750]	Loss: 0.4565	LR: 0.020000
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Training Epoch: 8 [45056/48750]	Loss: 0.3585	LR: 0.020000
Training Epoch: 8 [45312/48750]	Loss: 0.3428	LR: 0.020000
Training Epoch: 8 [45568/48750]	Loss: 0.4147	LR: 0.020000
Training Epoch: 8 [45824/48750]	Loss: 0.3665	LR: 0.020000
Training Epoch: 8 [46080/48750]	Loss: 0.4343	LR: 0.020000
Training Epoch: 8 [46336/48750]	Loss: 0.3894	LR: 0.020000
Training Epoch: 8 [46592/48750]	Loss: 0.4231	LR: 0.020000
Training Epoch: 8 [46848/48750]	Loss: 0.4063	LR: 0.020000
Training Epoch: 8 [47104/48750]	Loss: 0.3819	LR: 0.020000
Training Epoch: 8 [47360/48750]	Loss: 0.4501	LR: 0.020000
Training Epoch: 8 [47616/48750]	Loss: 0.3679	LR: 0.020000
Training Epoch: 8 [47872/48750]	Loss: 0.4908	LR: 0.020000
Training Epoch: 8 [48128/48750]	Loss: 0.3900	LR: 0.020000
Training Epoch: 8 [48384/48750]	Loss: 0.4202	LR: 0.020000
Training Epoch: 8 [48640/48750]	Loss: 0.4324	LR: 0.020000
Training Epoch: 8 [48750/48750]	Loss: 0.3488	LR: 0.020000
Epoch 8 - Average Train Loss: 0.4385, Train Accuracy: 0.8480
Epoch 8 training time consumed: 29.14s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0016, Accuracy: 0.8604, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_15h_16m_09s/ResNet18-Cifar10-seed3-ret75-8-best.pth
Training Epoch: 9 [256/48750]	Loss: 0.4315	LR: 0.020000
Training Epoch: 9 [512/48750]	Loss: 0.2976	LR: 0.020000
Training Epoch: 9 [768/48750]	Loss: 0.4685	LR: 0.020000
Training Epoch: 9 [1024/48750]	Loss: 0.3328	LR: 0.020000
Training Epoch: 9 [1280/48750]	Loss: 0.4650	LR: 0.020000
Training Epoch: 9 [1536/48750]	Loss: 0.3834	LR: 0.020000
Training Epoch: 9 [1792/48750]	Loss: 0.4116	LR: 0.020000
Training Epoch: 9 [2048/48750]	Loss: 0.4340	LR: 0.020000
Training Epoch: 9 [2304/48750]	Loss: 0.4078	LR: 0.020000
Training Epoch: 9 [2560/48750]	Loss: 0.3696	LR: 0.020000
Training Epoch: 9 [2816/48750]	Loss: 0.4985	LR: 0.020000
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Training Epoch: 9 [3328/48750]	Loss: 0.4585	LR: 0.020000
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Training Epoch: 9 [4352/48750]	Loss: 0.4257	LR: 0.020000
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Training Epoch: 9 [45056/48750]	Loss: 0.3619	LR: 0.020000
Training Epoch: 9 [45312/48750]	Loss: 0.3901	LR: 0.020000
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Training Epoch: 9 [46080/48750]	Loss: 0.3287	LR: 0.020000
Training Epoch: 9 [46336/48750]	Loss: 0.3824	LR: 0.020000
Training Epoch: 9 [46592/48750]	Loss: 0.4119	LR: 0.020000
Training Epoch: 9 [46848/48750]	Loss: 0.3220	LR: 0.020000
Training Epoch: 9 [47104/48750]	Loss: 0.4585	LR: 0.020000
Training Epoch: 9 [47360/48750]	Loss: 0.4220	LR: 0.020000
Training Epoch: 9 [47616/48750]	Loss: 0.3470	LR: 0.020000
Training Epoch: 9 [47872/48750]	Loss: 0.5038	LR: 0.020000
Training Epoch: 9 [48128/48750]	Loss: 0.3697	LR: 0.020000
Training Epoch: 9 [48384/48750]	Loss: 0.3570	LR: 0.020000
Training Epoch: 9 [48640/48750]	Loss: 0.3708	LR: 0.020000
Training Epoch: 9 [48750/48750]	Loss: 0.4752	LR: 0.020000
Epoch 9 - Average Train Loss: 0.3934, Train Accuracy: 0.8624
Epoch 9 training time consumed: 29.13s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0015, Accuracy: 0.8679, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_15h_16m_09s/ResNet18-Cifar10-seed3-ret75-9-best.pth
Training Epoch: 10 [256/48750]	Loss: 0.2956	LR: 0.020000
Training Epoch: 10 [512/48750]	Loss: 0.4116	LR: 0.020000
Training Epoch: 10 [768/48750]	Loss: 0.4619	LR: 0.020000
Training Epoch: 10 [1024/48750]	Loss: 0.3054	LR: 0.020000
Training Epoch: 10 [1280/48750]	Loss: 0.3556	LR: 0.020000
Training Epoch: 10 [1536/48750]	Loss: 0.2996	LR: 0.020000
Training Epoch: 10 [1792/48750]	Loss: 0.2784	LR: 0.020000
Training Epoch: 10 [2048/48750]	Loss: 0.3516	LR: 0.020000
Training Epoch: 10 [2304/48750]	Loss: 0.3063	LR: 0.020000
Training Epoch: 10 [2560/48750]	Loss: 0.3762	LR: 0.020000
Training Epoch: 10 [2816/48750]	Loss: 0.4041	LR: 0.020000
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Training Epoch: 10 [48128/48750]	Loss: 0.3100	LR: 0.020000
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Training Epoch: 10 [48640/48750]	Loss: 0.3635	LR: 0.020000
Training Epoch: 10 [48750/48750]	Loss: 0.2727	LR: 0.020000
Epoch 10 - Average Train Loss: 0.3683, Train Accuracy: 0.8696
Epoch 10 training time consumed: 29.22s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0015, Accuracy: 0.8744, Time consumed:1.02s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_15h_16m_09s/ResNet18-Cifar10-seed3-ret75-10-best.pth
Training Epoch: 11 [256/48750]	Loss: 0.2774	LR: 0.020000
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Training Epoch: 11 [1536/48750]	Loss: 0.3939	LR: 0.020000
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Training Epoch: 11 [2048/48750]	Loss: 0.2998	LR: 0.020000
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Training Epoch: 11 [26880/48750]	Loss: 0.2845	LR: 0.020000
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Training Epoch: 11 [27904/48750]	Loss: 0.2536	LR: 0.020000
Training Epoch: 11 [28160/48750]	Loss: 0.3808	LR: 0.020000
Training Epoch: 11 [28416/48750]	Loss: 0.3046	LR: 0.020000
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Training Epoch: 11 [29440/48750]	Loss: 0.3669	LR: 0.020000
Training Epoch: 11 [29696/48750]	Loss: 0.3458	LR: 0.020000
Training Epoch: 11 [29952/48750]	Loss: 0.2935	LR: 0.020000
Training Epoch: 11 [30208/48750]	Loss: 0.3488	LR: 0.020000
Training Epoch: 11 [30464/48750]	Loss: 0.3393	LR: 0.020000
Training Epoch: 11 [30720/48750]	Loss: 0.3430	LR: 0.020000
Training Epoch: 11 [30976/48750]	Loss: 0.3134	LR: 0.020000
Training Epoch: 11 [31232/48750]	Loss: 0.3284	LR: 0.020000
Training Epoch: 11 [31488/48750]	Loss: 0.3322	LR: 0.020000
Training Epoch: 11 [31744/48750]	Loss: 0.3401	LR: 0.020000
Training Epoch: 11 [32000/48750]	Loss: 0.4183	LR: 0.020000
Training Epoch: 11 [32256/48750]	Loss: 0.3867	LR: 0.020000
Training Epoch: 11 [32512/48750]	Loss: 0.3192	LR: 0.020000
Training Epoch: 11 [32768/48750]	Loss: 0.2775	LR: 0.020000
Training Epoch: 11 [33024/48750]	Loss: 0.3475	LR: 0.020000
Training Epoch: 11 [33280/48750]	Loss: 0.3324	LR: 0.020000
Training Epoch: 11 [33536/48750]	Loss: 0.3272	LR: 0.020000
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Training Epoch: 11 [34560/48750]	Loss: 0.4319	LR: 0.020000
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Training Epoch: 11 [35072/48750]	Loss: 0.2724	LR: 0.020000
Training Epoch: 11 [35328/48750]	Loss: 0.3401	LR: 0.020000
Training Epoch: 11 [35584/48750]	Loss: 0.3584	LR: 0.020000
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Training Epoch: 11 [37376/48750]	Loss: 0.4028	LR: 0.020000
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Training Epoch: 11 [43008/48750]	Loss: 0.3349	LR: 0.020000
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Training Epoch: 11 [43520/48750]	Loss: 0.3099	LR: 0.020000
Training Epoch: 11 [43776/48750]	Loss: 0.3068	LR: 0.020000
Training Epoch: 11 [44032/48750]	Loss: 0.3412	LR: 0.020000
Training Epoch: 11 [44288/48750]	Loss: 0.4148	LR: 0.020000
Training Epoch: 11 [44544/48750]	Loss: 0.3875	LR: 0.020000
Training Epoch: 11 [44800/48750]	Loss: 0.3117	LR: 0.020000
Training Epoch: 11 [45056/48750]	Loss: 0.4109	LR: 0.020000
Training Epoch: 11 [45312/48750]	Loss: 0.4115	LR: 0.020000
Training Epoch: 11 [45568/48750]	Loss: 0.5062	LR: 0.020000
Training Epoch: 11 [45824/48750]	Loss: 0.3641	LR: 0.020000
Training Epoch: 11 [46080/48750]	Loss: 0.3768	LR: 0.020000
Training Epoch: 11 [46336/48750]	Loss: 0.4099	LR: 0.020000
Training Epoch: 11 [46592/48750]	Loss: 0.3658	LR: 0.020000
Training Epoch: 11 [46848/48750]	Loss: 0.2920	LR: 0.020000
Training Epoch: 11 [47104/48750]	Loss: 0.3589	LR: 0.020000
Training Epoch: 11 [47360/48750]	Loss: 0.2932	LR: 0.020000
Training Epoch: 11 [47616/48750]	Loss: 0.2686	LR: 0.020000
Training Epoch: 11 [47872/48750]	Loss: 0.3928	LR: 0.020000
Training Epoch: 11 [48128/48750]	Loss: 0.4684	LR: 0.020000
Training Epoch: 11 [48384/48750]	Loss: 0.4228	LR: 0.020000
Training Epoch: 11 [48640/48750]	Loss: 0.3753	LR: 0.020000
Training Epoch: 11 [48750/48750]	Loss: 0.3689	LR: 0.020000
Epoch 11 - Average Train Loss: 0.3552, Train Accuracy: 0.8768
Epoch 11 training time consumed: 29.33s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0015, Accuracy: 0.8733, Time consumed:0.87s
Training Epoch: 12 [256/48750]	Loss: 0.3521	LR: 0.004000
Training Epoch: 12 [512/48750]	Loss: 0.3234	LR: 0.004000
Training Epoch: 12 [768/48750]	Loss: 0.3075	LR: 0.004000
Training Epoch: 12 [1024/48750]	Loss: 0.4317	LR: 0.004000
Training Epoch: 12 [1280/48750]	Loss: 0.2916	LR: 0.004000
Training Epoch: 12 [1536/48750]	Loss: 0.3946	LR: 0.004000
Training Epoch: 12 [1792/48750]	Loss: 0.2883	LR: 0.004000
Training Epoch: 12 [2048/48750]	Loss: 0.3089	LR: 0.004000
Training Epoch: 12 [2304/48750]	Loss: 0.3142	LR: 0.004000
Training Epoch: 12 [2560/48750]	Loss: 0.3968	LR: 0.004000
Training Epoch: 12 [2816/48750]	Loss: 0.3385	LR: 0.004000
Training Epoch: 12 [3072/48750]	Loss: 0.3414	LR: 0.004000
Training Epoch: 12 [3328/48750]	Loss: 0.3714	LR: 0.004000
Training Epoch: 12 [3584/48750]	Loss: 0.3834	LR: 0.004000
Training Epoch: 12 [3840/48750]	Loss: 0.3012	LR: 0.004000
Training Epoch: 12 [4096/48750]	Loss: 0.4290	LR: 0.004000
Training Epoch: 12 [4352/48750]	Loss: 0.3302	LR: 0.004000
Training Epoch: 12 [4608/48750]	Loss: 0.3328	LR: 0.004000
Training Epoch: 12 [4864/48750]	Loss: 0.3034	LR: 0.004000
Training Epoch: 12 [5120/48750]	Loss: 0.3460	LR: 0.004000
Training Epoch: 12 [5376/48750]	Loss: 0.3324	LR: 0.004000
Training Epoch: 12 [5632/48750]	Loss: 0.3349	LR: 0.004000
Training Epoch: 12 [5888/48750]	Loss: 0.3784	LR: 0.004000
Training Epoch: 12 [6144/48750]	Loss: 0.3203	LR: 0.004000
Training Epoch: 12 [6400/48750]	Loss: 0.2798	LR: 0.004000
Training Epoch: 12 [6656/48750]	Loss: 0.3349	LR: 0.004000
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Training Epoch: 12 [7168/48750]	Loss: 0.3970	LR: 0.004000
Training Epoch: 12 [7424/48750]	Loss: 0.3562	LR: 0.004000
Training Epoch: 12 [7680/48750]	Loss: 0.2377	LR: 0.004000
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Training Epoch: 12 [8448/48750]	Loss: 0.3972	LR: 0.004000
Training Epoch: 12 [8704/48750]	Loss: 0.3116	LR: 0.004000
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Training Epoch: 12 [9728/48750]	Loss: 0.3068	LR: 0.004000
Training Epoch: 12 [9984/48750]	Loss: 0.3355	LR: 0.004000
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Training Epoch: 12 [10752/48750]	Loss: 0.2794	LR: 0.004000
Training Epoch: 12 [11008/48750]	Loss: 0.3749	LR: 0.004000
Training Epoch: 12 [11264/48750]	Loss: 0.3057	LR: 0.004000
Training Epoch: 12 [11520/48750]	Loss: 0.3115	LR: 0.004000
Training Epoch: 12 [11776/48750]	Loss: 0.3318	LR: 0.004000
Training Epoch: 12 [12032/48750]	Loss: 0.3057	LR: 0.004000
Training Epoch: 12 [12288/48750]	Loss: 0.3832	LR: 0.004000
Training Epoch: 12 [12544/48750]	Loss: 0.3083	LR: 0.004000
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Training Epoch: 12 [15104/48750]	Loss: 0.2530	LR: 0.004000
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Training Epoch: 12 [15616/48750]	Loss: 0.2992	LR: 0.004000
Training Epoch: 12 [15872/48750]	Loss: 0.3165	LR: 0.004000
Training Epoch: 12 [16128/48750]	Loss: 0.3088	LR: 0.004000
Training Epoch: 12 [16384/48750]	Loss: 0.2714	LR: 0.004000
Training Epoch: 12 [16640/48750]	Loss: 0.2729	LR: 0.004000
Training Epoch: 12 [16896/48750]	Loss: 0.2365	LR: 0.004000
Training Epoch: 12 [17152/48750]	Loss: 0.2872	LR: 0.004000
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Training Epoch: 12 [19456/48750]	Loss: 0.2406	LR: 0.004000
Training Epoch: 12 [19712/48750]	Loss: 0.3213	LR: 0.004000
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Training Epoch: 12 [26880/48750]	Loss: 0.2558	LR: 0.004000
Training Epoch: 12 [27136/48750]	Loss: 0.2771	LR: 0.004000
Training Epoch: 12 [27392/48750]	Loss: 0.2647	LR: 0.004000
Training Epoch: 12 [27648/48750]	Loss: 0.3226	LR: 0.004000
Training Epoch: 12 [27904/48750]	Loss: 0.3252	LR: 0.004000
Training Epoch: 12 [28160/48750]	Loss: 0.3078	LR: 0.004000
Training Epoch: 12 [28416/48750]	Loss: 0.3492	LR: 0.004000
Training Epoch: 12 [28672/48750]	Loss: 0.3334	LR: 0.004000
Training Epoch: 12 [28928/48750]	Loss: 0.3012	LR: 0.004000
Training Epoch: 12 [29184/48750]	Loss: 0.3412	LR: 0.004000
Training Epoch: 12 [29440/48750]	Loss: 0.3174	LR: 0.004000
Training Epoch: 12 [29696/48750]	Loss: 0.2823	LR: 0.004000
Training Epoch: 12 [29952/48750]	Loss: 0.3294	LR: 0.004000
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Training Epoch: 12 [30720/48750]	Loss: 0.3500	LR: 0.004000
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Training Epoch: 12 [31232/48750]	Loss: 0.2844	LR: 0.004000
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Training Epoch: 12 [32768/48750]	Loss: 0.3583	LR: 0.004000
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Training Epoch: 12 [36608/48750]	Loss: 0.2503	LR: 0.004000
Training Epoch: 12 [36864/48750]	Loss: 0.2492	LR: 0.004000
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Training Epoch: 12 [37888/48750]	Loss: 0.3051	LR: 0.004000
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Training Epoch: 12 [40192/48750]	Loss: 0.3283	LR: 0.004000
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Training Epoch: 12 [45056/48750]	Loss: 0.3262	LR: 0.004000
Training Epoch: 12 [45312/48750]	Loss: 0.3473	LR: 0.004000
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Training Epoch: 12 [45824/48750]	Loss: 0.3216	LR: 0.004000
Training Epoch: 12 [46080/48750]	Loss: 0.3329	LR: 0.004000
Training Epoch: 12 [46336/48750]	Loss: 0.3069	LR: 0.004000
Training Epoch: 12 [46592/48750]	Loss: 0.2725	LR: 0.004000
Training Epoch: 12 [46848/48750]	Loss: 0.2506	LR: 0.004000
Training Epoch: 12 [47104/48750]	Loss: 0.3238	LR: 0.004000
Training Epoch: 12 [47360/48750]	Loss: 0.3177	LR: 0.004000
Training Epoch: 12 [47616/48750]	Loss: 0.2790	LR: 0.004000
Training Epoch: 12 [47872/48750]	Loss: 0.2566	LR: 0.004000
Training Epoch: 12 [48128/48750]	Loss: 0.3792	LR: 0.004000
Training Epoch: 12 [48384/48750]	Loss: 0.2428	LR: 0.004000
Training Epoch: 12 [48640/48750]	Loss: 0.3878	LR: 0.004000
Training Epoch: 12 [48750/48750]	Loss: 0.2920	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3084, Train Accuracy: 0.8926
Epoch 12 training time consumed: 29.07s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0013, Accuracy: 0.8874, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_15h_16m_09s/ResNet18-Cifar10-seed3-ret75-12-best.pth
Training Epoch: 13 [256/48750]	Loss: 0.2244	LR: 0.004000
Training Epoch: 13 [512/48750]	Loss: 0.2359	LR: 0.004000
Training Epoch: 13 [768/48750]	Loss: 0.2510	LR: 0.004000
Training Epoch: 13 [1024/48750]	Loss: 0.3222	LR: 0.004000
Training Epoch: 13 [1280/48750]	Loss: 0.2643	LR: 0.004000
Training Epoch: 13 [1536/48750]	Loss: 0.2826	LR: 0.004000
Training Epoch: 13 [1792/48750]	Loss: 0.2973	LR: 0.004000
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Training Epoch: 13 [47104/48750]	Loss: 0.3397	LR: 0.004000
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Training Epoch: 13 [47616/48750]	Loss: 0.3105	LR: 0.004000
Training Epoch: 13 [47872/48750]	Loss: 0.2972	LR: 0.004000
Training Epoch: 13 [48128/48750]	Loss: 0.2788	LR: 0.004000
Training Epoch: 13 [48384/48750]	Loss: 0.2709	LR: 0.004000
Training Epoch: 13 [48640/48750]	Loss: 0.3231	LR: 0.004000
Training Epoch: 13 [48750/48750]	Loss: 0.2662	LR: 0.004000
Epoch 13 - Average Train Loss: 0.2947, Train Accuracy: 0.8982
Epoch 13 training time consumed: 29.07s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0013, Accuracy: 0.8910, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_15h_16m_09s/ResNet18-Cifar10-seed3-ret75-13-best.pth
Training Epoch: 14 [256/48750]	Loss: 0.2451	LR: 0.004000
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Training Epoch: 14 [1536/48750]	Loss: 0.3204	LR: 0.004000
Training Epoch: 14 [1792/48750]	Loss: 0.2310	LR: 0.004000
Training Epoch: 14 [2048/48750]	Loss: 0.3338	LR: 0.004000
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Training Epoch: 14 [2560/48750]	Loss: 0.2992	LR: 0.004000
Training Epoch: 14 [2816/48750]	Loss: 0.2778	LR: 0.004000
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Training Epoch: 14 [24576/48750]	Loss: 0.3530	LR: 0.004000
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Training Epoch: 14 [25856/48750]	Loss: 0.2921	LR: 0.004000
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Training Epoch: 14 [29952/48750]	Loss: 0.3018	LR: 0.004000
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Training Epoch: 14 [31744/48750]	Loss: 0.2753	LR: 0.004000
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Training Epoch: 14 [32256/48750]	Loss: 0.2836	LR: 0.004000
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Training Epoch: 14 [44032/48750]	Loss: 0.2228	LR: 0.004000
Training Epoch: 14 [44288/48750]	Loss: 0.3448	LR: 0.004000
Training Epoch: 14 [44544/48750]	Loss: 0.3030	LR: 0.004000
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Training Epoch: 14 [45056/48750]	Loss: 0.3070	LR: 0.004000
Training Epoch: 14 [45312/48750]	Loss: 0.2294	LR: 0.004000
Training Epoch: 14 [45568/48750]	Loss: 0.1854	LR: 0.004000
Training Epoch: 14 [45824/48750]	Loss: 0.2473	LR: 0.004000
Training Epoch: 14 [46080/48750]	Loss: 0.2853	LR: 0.004000
Training Epoch: 14 [46336/48750]	Loss: 0.3330	LR: 0.004000
Training Epoch: 14 [46592/48750]	Loss: 0.2491	LR: 0.004000
Training Epoch: 14 [46848/48750]	Loss: 0.3231	LR: 0.004000
Training Epoch: 14 [47104/48750]	Loss: 0.3453	LR: 0.004000
Training Epoch: 14 [47360/48750]	Loss: 0.2618	LR: 0.004000
Training Epoch: 14 [47616/48750]	Loss: 0.2919	LR: 0.004000
Training Epoch: 14 [47872/48750]	Loss: 0.2710	LR: 0.004000
Training Epoch: 14 [48128/48750]	Loss: 0.2899	LR: 0.004000
Training Epoch: 14 [48384/48750]	Loss: 0.2981	LR: 0.004000
Training Epoch: 14 [48640/48750]	Loss: 0.3202	LR: 0.004000
Training Epoch: 14 [48750/48750]	Loss: 0.3127	LR: 0.004000
Epoch 14 - Average Train Loss: 0.2871, Train Accuracy: 0.9002
Epoch 14 training time consumed: 29.21s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0013, Accuracy: 0.8908, Time consumed:0.90s
Training Epoch: 15 [256/48750]	Loss: 0.1752	LR: 0.004000
Training Epoch: 15 [512/48750]	Loss: 0.3329	LR: 0.004000
Training Epoch: 15 [768/48750]	Loss: 0.2704	LR: 0.004000
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Training Epoch: 15 [1280/48750]	Loss: 0.2810	LR: 0.004000
Training Epoch: 15 [1536/48750]	Loss: 0.2543	LR: 0.004000
Training Epoch: 15 [1792/48750]	Loss: 0.2605	LR: 0.004000
Training Epoch: 15 [2048/48750]	Loss: 0.2682	LR: 0.004000
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Training Epoch: 15 [2560/48750]	Loss: 0.2236	LR: 0.004000
Training Epoch: 15 [2816/48750]	Loss: 0.2709	LR: 0.004000
Training Epoch: 15 [3072/48750]	Loss: 0.2846	LR: 0.004000
Training Epoch: 15 [3328/48750]	Loss: 0.2612	LR: 0.004000
Training Epoch: 15 [3584/48750]	Loss: 0.2537	LR: 0.004000
Training Epoch: 15 [3840/48750]	Loss: 0.2276	LR: 0.004000
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Training Epoch: 15 [5376/48750]	Loss: 0.2760	LR: 0.004000
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Training Epoch: 15 [6144/48750]	Loss: 0.2181	LR: 0.004000
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Training Epoch: 15 [8448/48750]	Loss: 0.3319	LR: 0.004000
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Training Epoch: 15 [46592/48750]	Loss: 0.3068	LR: 0.004000
Training Epoch: 15 [46848/48750]	Loss: 0.2521	LR: 0.004000
Training Epoch: 15 [47104/48750]	Loss: 0.2685	LR: 0.004000
Training Epoch: 15 [47360/48750]	Loss: 0.2744	LR: 0.004000
Training Epoch: 15 [47616/48750]	Loss: 0.2392	LR: 0.004000
Training Epoch: 15 [47872/48750]	Loss: 0.3401	LR: 0.004000
Training Epoch: 15 [48128/48750]	Loss: 0.2078	LR: 0.004000
Training Epoch: 15 [48384/48750]	Loss: 0.3003	LR: 0.004000
Training Epoch: 15 [48640/48750]	Loss: 0.3006	LR: 0.004000
Training Epoch: 15 [48750/48750]	Loss: 0.2162	LR: 0.004000
Epoch 15 - Average Train Loss: 0.2797, Train Accuracy: 0.9027
Epoch 15 training time consumed: 29.05s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0013, Accuracy: 0.8913, Time consumed:0.86s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_15h_16m_09s/ResNet18-Cifar10-seed3-ret75-15-best.pth
Training Epoch: 16 [256/48750]	Loss: 0.2413	LR: 0.000800
Training Epoch: 16 [512/48750]	Loss: 0.1947	LR: 0.000800
Training Epoch: 16 [768/48750]	Loss: 0.2274	LR: 0.000800
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Training Epoch: 16 [46080/48750]	Loss: 0.3476	LR: 0.000800
Training Epoch: 16 [46336/48750]	Loss: 0.3041	LR: 0.000800
Training Epoch: 16 [46592/48750]	Loss: 0.3130	LR: 0.000800
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Training Epoch: 16 [47104/48750]	Loss: 0.4015	LR: 0.000800
Training Epoch: 16 [47360/48750]	Loss: 0.2584	LR: 0.000800
Training Epoch: 16 [47616/48750]	Loss: 0.3226	LR: 0.000800
Training Epoch: 16 [47872/48750]	Loss: 0.3394	LR: 0.000800
Training Epoch: 16 [48128/48750]	Loss: 0.1730	LR: 0.000800
Training Epoch: 16 [48384/48750]	Loss: 0.2578	LR: 0.000800
Training Epoch: 16 [48640/48750]	Loss: 0.2673	LR: 0.000800
Training Epoch: 16 [48750/48750]	Loss: 0.3134	LR: 0.000800
Epoch 16 - Average Train Loss: 0.2656, Train Accuracy: 0.9067
Epoch 16 training time consumed: 29.08s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0013, Accuracy: 0.8936, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_15h_16m_09s/ResNet18-Cifar10-seed3-ret75-16-best.pth
Training Epoch: 17 [256/48750]	Loss: 0.2697	LR: 0.000800
Training Epoch: 17 [512/48750]	Loss: 0.3088	LR: 0.000800
Training Epoch: 17 [768/48750]	Loss: 0.2226	LR: 0.000800
Training Epoch: 17 [1024/48750]	Loss: 0.3017	LR: 0.000800
Training Epoch: 17 [1280/48750]	Loss: 0.2985	LR: 0.000800
Training Epoch: 17 [1536/48750]	Loss: 0.2498	LR: 0.000800
Training Epoch: 17 [1792/48750]	Loss: 0.3141	LR: 0.000800
Training Epoch: 17 [2048/48750]	Loss: 0.3506	LR: 0.000800
Training Epoch: 17 [2304/48750]	Loss: 0.2937	LR: 0.000800
Training Epoch: 17 [2560/48750]	Loss: 0.2251	LR: 0.000800
Training Epoch: 17 [2816/48750]	Loss: 0.2501	LR: 0.000800
Training Epoch: 17 [3072/48750]	Loss: 0.1989	LR: 0.000800
Training Epoch: 17 [3328/48750]	Loss: 0.3215	LR: 0.000800
Training Epoch: 17 [3584/48750]	Loss: 0.2986	LR: 0.000800
Training Epoch: 17 [3840/48750]	Loss: 0.2452	LR: 0.000800
Training Epoch: 17 [4096/48750]	Loss: 0.2561	LR: 0.000800
Training Epoch: 17 [4352/48750]	Loss: 0.2212	LR: 0.000800
Training Epoch: 17 [4608/48750]	Loss: 0.2635	LR: 0.000800
Training Epoch: 17 [4864/48750]	Loss: 0.2054	LR: 0.000800
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Training Epoch: 17 [5376/48750]	Loss: 0.2752	LR: 0.000800
Training Epoch: 17 [5632/48750]	Loss: 0.2652	LR: 0.000800
Training Epoch: 17 [5888/48750]	Loss: 0.2298	LR: 0.000800
Training Epoch: 17 [6144/48750]	Loss: 0.2238	LR: 0.000800
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Training Epoch: 17 [10240/48750]	Loss: 0.2261	LR: 0.000800
Training Epoch: 17 [10496/48750]	Loss: 0.2147	LR: 0.000800
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Training Epoch: 17 [11008/48750]	Loss: 0.2769	LR: 0.000800
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Training Epoch: 17 [24832/48750]	Loss: 0.2627	LR: 0.000800
Training Epoch: 17 [25088/48750]	Loss: 0.2649	LR: 0.000800
Training Epoch: 17 [25344/48750]	Loss: 0.2247	LR: 0.000800
Training Epoch: 17 [25600/48750]	Loss: 0.3035	LR: 0.000800
Training Epoch: 17 [25856/48750]	Loss: 0.3547	LR: 0.000800
Training Epoch: 17 [26112/48750]	Loss: 0.3135	LR: 0.000800
Training Epoch: 17 [26368/48750]	Loss: 0.2689	LR: 0.000800
Training Epoch: 17 [26624/48750]	Loss: 0.2096	LR: 0.000800
Training Epoch: 17 [26880/48750]	Loss: 0.2040	LR: 0.000800
Training Epoch: 17 [27136/48750]	Loss: 0.3038	LR: 0.000800
Training Epoch: 17 [27392/48750]	Loss: 0.2628	LR: 0.000800
Training Epoch: 17 [27648/48750]	Loss: 0.2301	LR: 0.000800
Training Epoch: 17 [27904/48750]	Loss: 0.3345	LR: 0.000800
Training Epoch: 17 [28160/48750]	Loss: 0.2695	LR: 0.000800
Training Epoch: 17 [28416/48750]	Loss: 0.2883	LR: 0.000800
Training Epoch: 17 [28672/48750]	Loss: 0.3140	LR: 0.000800
Training Epoch: 17 [28928/48750]	Loss: 0.2543	LR: 0.000800
Training Epoch: 17 [29184/48750]	Loss: 0.2095	LR: 0.000800
Training Epoch: 17 [29440/48750]	Loss: 0.2037	LR: 0.000800
Training Epoch: 17 [29696/48750]	Loss: 0.2177	LR: 0.000800
Training Epoch: 17 [29952/48750]	Loss: 0.2460	LR: 0.000800
Training Epoch: 17 [30208/48750]	Loss: 0.2760	LR: 0.000800
Training Epoch: 17 [30464/48750]	Loss: 0.2878	LR: 0.000800
Training Epoch: 17 [30720/48750]	Loss: 0.3056	LR: 0.000800
Training Epoch: 17 [30976/48750]	Loss: 0.2579	LR: 0.000800
Training Epoch: 17 [31232/48750]	Loss: 0.2461	LR: 0.000800
Training Epoch: 17 [31488/48750]	Loss: 0.2415	LR: 0.000800
Training Epoch: 17 [31744/48750]	Loss: 0.3124	LR: 0.000800
Training Epoch: 17 [32000/48750]	Loss: 0.2194	LR: 0.000800
Training Epoch: 17 [32256/48750]	Loss: 0.2884	LR: 0.000800
Training Epoch: 17 [32512/48750]	Loss: 0.2147	LR: 0.000800
Training Epoch: 17 [32768/48750]	Loss: 0.2320	LR: 0.000800
Training Epoch: 17 [33024/48750]	Loss: 0.3398	LR: 0.000800
Training Epoch: 17 [33280/48750]	Loss: 0.2227	LR: 0.000800
Training Epoch: 17 [33536/48750]	Loss: 0.2713	LR: 0.000800
Training Epoch: 17 [33792/48750]	Loss: 0.2804	LR: 0.000800
Training Epoch: 17 [34048/48750]	Loss: 0.3877	LR: 0.000800
Training Epoch: 17 [34304/48750]	Loss: 0.3041	LR: 0.000800
Training Epoch: 17 [34560/48750]	Loss: 0.2822	LR: 0.000800
Training Epoch: 17 [34816/48750]	Loss: 0.2872	LR: 0.000800
Training Epoch: 17 [35072/48750]	Loss: 0.2347	LR: 0.000800
Training Epoch: 17 [35328/48750]	Loss: 0.2587	LR: 0.000800
Training Epoch: 17 [35584/48750]	Loss: 0.3274	LR: 0.000800
Training Epoch: 17 [35840/48750]	Loss: 0.2765	LR: 0.000800
Training Epoch: 17 [36096/48750]	Loss: 0.2709	LR: 0.000800
Training Epoch: 17 [36352/48750]	Loss: 0.2579	LR: 0.000800
Training Epoch: 17 [36608/48750]	Loss: 0.2882	LR: 0.000800
Training Epoch: 17 [36864/48750]	Loss: 0.2365	LR: 0.000800
Training Epoch: 17 [37120/48750]	Loss: 0.2988	LR: 0.000800
Training Epoch: 17 [37376/48750]	Loss: 0.2198	LR: 0.000800
Training Epoch: 17 [37632/48750]	Loss: 0.2591	LR: 0.000800
Training Epoch: 17 [37888/48750]	Loss: 0.2941	LR: 0.000800
Training Epoch: 17 [38144/48750]	Loss: 0.2140	LR: 0.000800
Training Epoch: 17 [38400/48750]	Loss: 0.3209	LR: 0.000800
Training Epoch: 17 [38656/48750]	Loss: 0.2070	LR: 0.000800
Training Epoch: 17 [38912/48750]	Loss: 0.3308	LR: 0.000800
Training Epoch: 17 [39168/48750]	Loss: 0.2560	LR: 0.000800
Training Epoch: 17 [39424/48750]	Loss: 0.2901	LR: 0.000800
Training Epoch: 17 [39680/48750]	Loss: 0.3402	LR: 0.000800
Training Epoch: 17 [39936/48750]	Loss: 0.2431	LR: 0.000800
Training Epoch: 17 [40192/48750]	Loss: 0.3295	LR: 0.000800
Training Epoch: 17 [40448/48750]	Loss: 0.3045	LR: 0.000800
Training Epoch: 17 [40704/48750]	Loss: 0.3319	LR: 0.000800
Training Epoch: 17 [40960/48750]	Loss: 0.2877	LR: 0.000800
Training Epoch: 17 [41216/48750]	Loss: 0.3027	LR: 0.000800
Training Epoch: 17 [41472/48750]	Loss: 0.2613	LR: 0.000800
Training Epoch: 17 [41728/48750]	Loss: 0.2235	LR: 0.000800
Training Epoch: 17 [41984/48750]	Loss: 0.2578	LR: 0.000800
Training Epoch: 17 [42240/48750]	Loss: 0.2369	LR: 0.000800
Training Epoch: 17 [42496/48750]	Loss: 0.3502	LR: 0.000800
Training Epoch: 17 [42752/48750]	Loss: 0.2939	LR: 0.000800
Training Epoch: 17 [43008/48750]	Loss: 0.2331	LR: 0.000800
Training Epoch: 17 [43264/48750]	Loss: 0.2679	LR: 0.000800
Training Epoch: 17 [43520/48750]	Loss: 0.2392	LR: 0.000800
Training Epoch: 17 [43776/48750]	Loss: 0.2546	LR: 0.000800
Training Epoch: 17 [44032/48750]	Loss: 0.3008	LR: 0.000800
Training Epoch: 17 [44288/48750]	Loss: 0.2350	LR: 0.000800
Training Epoch: 17 [44544/48750]	Loss: 0.1908	LR: 0.000800
Training Epoch: 17 [44800/48750]	Loss: 0.3618	LR: 0.000800
Training Epoch: 17 [45056/48750]	Loss: 0.3146	LR: 0.000800
Training Epoch: 17 [45312/48750]	Loss: 0.1978	LR: 0.000800
Training Epoch: 17 [45568/48750]	Loss: 0.1671	LR: 0.000800
Training Epoch: 17 [45824/48750]	Loss: 0.2612	LR: 0.000800
Training Epoch: 17 [46080/48750]	Loss: 0.2565	LR: 0.000800
Training Epoch: 17 [46336/48750]	Loss: 0.2783	LR: 0.000800
Training Epoch: 17 [46592/48750]	Loss: 0.2776	LR: 0.000800
Training Epoch: 17 [46848/48750]	Loss: 0.2717	LR: 0.000800
Training Epoch: 17 [47104/48750]	Loss: 0.2659	LR: 0.000800
Training Epoch: 17 [47360/48750]	Loss: 0.2154	LR: 0.000800
Training Epoch: 17 [47616/48750]	Loss: 0.3446	LR: 0.000800
Training Epoch: 17 [47872/48750]	Loss: 0.2719	LR: 0.000800
Training Epoch: 17 [48128/48750]	Loss: 0.3200	LR: 0.000800
Training Epoch: 17 [48384/48750]	Loss: 0.1962	LR: 0.000800
Training Epoch: 17 [48640/48750]	Loss: 0.2287	LR: 0.000800
Training Epoch: 17 [48750/48750]	Loss: 0.3789	LR: 0.000800
Epoch 17 - Average Train Loss: 0.2633, Train Accuracy: 0.9082
Epoch 17 training time consumed: 29.19s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0013, Accuracy: 0.8927, Time consumed:0.84s
Training Epoch: 18 [256/48750]	Loss: 0.2344	LR: 0.000800
Training Epoch: 18 [512/48750]	Loss: 0.2622	LR: 0.000800
Training Epoch: 18 [768/48750]	Loss: 0.2527	LR: 0.000800
Training Epoch: 18 [1024/48750]	Loss: 0.2597	LR: 0.000800
Training Epoch: 18 [1280/48750]	Loss: 0.2020	LR: 0.000800
Training Epoch: 18 [1536/48750]	Loss: 0.2822	LR: 0.000800
Training Epoch: 18 [1792/48750]	Loss: 0.2260	LR: 0.000800
Training Epoch: 18 [2048/48750]	Loss: 0.2738	LR: 0.000800
Training Epoch: 18 [2304/48750]	Loss: 0.2384	LR: 0.000800
Training Epoch: 18 [2560/48750]	Loss: 0.1949	LR: 0.000800
Training Epoch: 18 [2816/48750]	Loss: 0.2832	LR: 0.000800
Training Epoch: 18 [3072/48750]	Loss: 0.3312	LR: 0.000800
Training Epoch: 18 [3328/48750]	Loss: 0.3382	LR: 0.000800
Training Epoch: 18 [3584/48750]	Loss: 0.2140	LR: 0.000800
Training Epoch: 18 [3840/48750]	Loss: 0.3178	LR: 0.000800
Training Epoch: 18 [4096/48750]	Loss: 0.2407	LR: 0.000800
Training Epoch: 18 [4352/48750]	Loss: 0.3247	LR: 0.000800
Training Epoch: 18 [4608/48750]	Loss: 0.2722	LR: 0.000800
Training Epoch: 18 [4864/48750]	Loss: 0.2764	LR: 0.000800
Training Epoch: 18 [5120/48750]	Loss: 0.2654	LR: 0.000800
Training Epoch: 18 [5376/48750]	Loss: 0.2404	LR: 0.000800
Training Epoch: 18 [5632/48750]	Loss: 0.2559	LR: 0.000800
Training Epoch: 18 [5888/48750]	Loss: 0.2504	LR: 0.000800
Training Epoch: 18 [6144/48750]	Loss: 0.2511	LR: 0.000800
Training Epoch: 18 [6400/48750]	Loss: 0.2697	LR: 0.000800
Training Epoch: 18 [6656/48750]	Loss: 0.2531	LR: 0.000800
Training Epoch: 18 [6912/48750]	Loss: 0.2292	LR: 0.000800
Training Epoch: 18 [7168/48750]	Loss: 0.2978	LR: 0.000800
Training Epoch: 18 [7424/48750]	Loss: 0.2917	LR: 0.000800
Training Epoch: 18 [7680/48750]	Loss: 0.2837	LR: 0.000800
Training Epoch: 18 [7936/48750]	Loss: 0.2235	LR: 0.000800
Training Epoch: 18 [8192/48750]	Loss: 0.2517	LR: 0.000800
Training Epoch: 18 [8448/48750]	Loss: 0.2161	LR: 0.000800
Training Epoch: 18 [8704/48750]	Loss: 0.2286	LR: 0.000800
Training Epoch: 18 [8960/48750]	Loss: 0.2081	LR: 0.000800
Training Epoch: 18 [9216/48750]	Loss: 0.3001	LR: 0.000800
Training Epoch: 18 [9472/48750]	Loss: 0.2765	LR: 0.000800
Training Epoch: 18 [9728/48750]	Loss: 0.2208	LR: 0.000800
Training Epoch: 18 [9984/48750]	Loss: 0.2681	LR: 0.000800
Training Epoch: 18 [10240/48750]	Loss: 0.2593	LR: 0.000800
Training Epoch: 18 [10496/48750]	Loss: 0.3512	LR: 0.000800
Training Epoch: 18 [10752/48750]	Loss: 0.1861	LR: 0.000800
Training Epoch: 18 [11008/48750]	Loss: 0.3192	LR: 0.000800
Training Epoch: 18 [11264/48750]	Loss: 0.2526	LR: 0.000800
Training Epoch: 18 [11520/48750]	Loss: 0.2050	LR: 0.000800
Training Epoch: 18 [11776/48750]	Loss: 0.2727	LR: 0.000800
Training Epoch: 18 [12032/48750]	Loss: 0.2119	LR: 0.000800
Training Epoch: 18 [12288/48750]	Loss: 0.2210	LR: 0.000800
Training Epoch: 18 [12544/48750]	Loss: 0.2483	LR: 0.000800
Training Epoch: 18 [12800/48750]	Loss: 0.2474	LR: 0.000800
Training Epoch: 18 [13056/48750]	Loss: 0.2729	LR: 0.000800
Training Epoch: 18 [13312/48750]	Loss: 0.2197	LR: 0.000800
Training Epoch: 18 [13568/48750]	Loss: 0.2458	LR: 0.000800
Training Epoch: 18 [13824/48750]	Loss: 0.2368	LR: 0.000800
Training Epoch: 18 [14080/48750]	Loss: 0.2364	LR: 0.000800
Training Epoch: 18 [14336/48750]	Loss: 0.2804	LR: 0.000800
Training Epoch: 18 [14592/48750]	Loss: 0.3058	LR: 0.000800
Training Epoch: 18 [14848/48750]	Loss: 0.2455	LR: 0.000800
Training Epoch: 18 [15104/48750]	Loss: 0.2295	LR: 0.000800
Training Epoch: 18 [15360/48750]	Loss: 0.2509	LR: 0.000800
Training Epoch: 18 [15616/48750]	Loss: 0.2488	LR: 0.000800
Training Epoch: 18 [15872/48750]	Loss: 0.2052	LR: 0.000800
Training Epoch: 18 [16128/48750]	Loss: 0.2114	LR: 0.000800
Training Epoch: 18 [16384/48750]	Loss: 0.3076	LR: 0.000800
Training Epoch: 18 [16640/48750]	Loss: 0.2359	LR: 0.000800
Training Epoch: 18 [16896/48750]	Loss: 0.2270	LR: 0.000800
Training Epoch: 18 [17152/48750]	Loss: 0.3459	LR: 0.000800
Training Epoch: 18 [17408/48750]	Loss: 0.3834	LR: 0.000800
Training Epoch: 18 [17664/48750]	Loss: 0.1909	LR: 0.000800
Training Epoch: 18 [17920/48750]	Loss: 0.3028	LR: 0.000800
Training Epoch: 18 [18176/48750]	Loss: 0.2243	LR: 0.000800
Training Epoch: 18 [18432/48750]	Loss: 0.2353	LR: 0.000800
Training Epoch: 18 [18688/48750]	Loss: 0.2861	LR: 0.000800
Training Epoch: 18 [18944/48750]	Loss: 0.2093	LR: 0.000800
Training Epoch: 18 [19200/48750]	Loss: 0.2338	LR: 0.000800
Training Epoch: 18 [19456/48750]	Loss: 0.3115	LR: 0.000800
Training Epoch: 18 [19712/48750]	Loss: 0.2511	LR: 0.000800
Training Epoch: 18 [19968/48750]	Loss: 0.2691	LR: 0.000800
Training Epoch: 18 [20224/48750]	Loss: 0.2684	LR: 0.000800
Training Epoch: 18 [20480/48750]	Loss: 0.2222	LR: 0.000800
Training Epoch: 18 [20736/48750]	Loss: 0.1928	LR: 0.000800
Training Epoch: 18 [20992/48750]	Loss: 0.2156	LR: 0.000800
Training Epoch: 18 [21248/48750]	Loss: 0.2971	LR: 0.000800
Training Epoch: 18 [21504/48750]	Loss: 0.2564	LR: 0.000800
Training Epoch: 18 [21760/48750]	Loss: 0.3431	LR: 0.000800
Training Epoch: 18 [22016/48750]	Loss: 0.3150	LR: 0.000800
Training Epoch: 18 [22272/48750]	Loss: 0.2618	LR: 0.000800
Training Epoch: 18 [22528/48750]	Loss: 0.2260	LR: 0.000800
Training Epoch: 18 [22784/48750]	Loss: 0.2197	LR: 0.000800
Training Epoch: 18 [23040/48750]	Loss: 0.2770	LR: 0.000800
Training Epoch: 18 [23296/48750]	Loss: 0.3161	LR: 0.000800
Training Epoch: 18 [23552/48750]	Loss: 0.2131	LR: 0.000800
Training Epoch: 18 [23808/48750]	Loss: 0.2965	LR: 0.000800
Training Epoch: 18 [24064/48750]	Loss: 0.2792	LR: 0.000800
Training Epoch: 18 [24320/48750]	Loss: 0.2462	LR: 0.000800
Training Epoch: 18 [24576/48750]	Loss: 0.2689	LR: 0.000800
Training Epoch: 18 [24832/48750]	Loss: 0.2587	LR: 0.000800
Training Epoch: 18 [25088/48750]	Loss: 0.2214	LR: 0.000800
Training Epoch: 18 [25344/48750]	Loss: 0.3267	LR: 0.000800
Training Epoch: 18 [25600/48750]	Loss: 0.2514	LR: 0.000800
Training Epoch: 18 [25856/48750]	Loss: 0.2455	LR: 0.000800
Training Epoch: 18 [26112/48750]	Loss: 0.1943	LR: 0.000800
Training Epoch: 18 [26368/48750]	Loss: 0.2678	LR: 0.000800
Training Epoch: 18 [26624/48750]	Loss: 0.2162	LR: 0.000800
Training Epoch: 18 [26880/48750]	Loss: 0.2945	LR: 0.000800
Training Epoch: 18 [27136/48750]	Loss: 0.2037	LR: 0.000800
Training Epoch: 18 [27392/48750]	Loss: 0.2884	LR: 0.000800
Training Epoch: 18 [27648/48750]	Loss: 0.2675	LR: 0.000800
Training Epoch: 18 [27904/48750]	Loss: 0.3144	LR: 0.000800
Training Epoch: 18 [28160/48750]	Loss: 0.1994	LR: 0.000800
Training Epoch: 18 [28416/48750]	Loss: 0.2950	LR: 0.000800
Training Epoch: 18 [28672/48750]	Loss: 0.2420	LR: 0.000800
Training Epoch: 18 [28928/48750]	Loss: 0.2762	LR: 0.000800
Training Epoch: 18 [29184/48750]	Loss: 0.3160	LR: 0.000800
Training Epoch: 18 [29440/48750]	Loss: 0.2814	LR: 0.000800
Training Epoch: 18 [29696/48750]	Loss: 0.2735	LR: 0.000800
Training Epoch: 18 [29952/48750]	Loss: 0.2253	LR: 0.000800
Training Epoch: 18 [30208/48750]	Loss: 0.2701	LR: 0.000800
Training Epoch: 18 [30464/48750]	Loss: 0.2180	LR: 0.000800
Training Epoch: 18 [30720/48750]	Loss: 0.2593	LR: 0.000800
Training Epoch: 18 [30976/48750]	Loss: 0.3019	LR: 0.000800
Training Epoch: 18 [31232/48750]	Loss: 0.2587	LR: 0.000800
Training Epoch: 18 [31488/48750]	Loss: 0.2765	LR: 0.000800
Training Epoch: 18 [31744/48750]	Loss: 0.3045	LR: 0.000800
Training Epoch: 18 [32000/48750]	Loss: 0.2590	LR: 0.000800
Training Epoch: 18 [32256/48750]	Loss: 0.2421	LR: 0.000800
Training Epoch: 18 [32512/48750]	Loss: 0.2776	LR: 0.000800
Training Epoch: 18 [32768/48750]	Loss: 0.2403	LR: 0.000800
Training Epoch: 18 [33024/48750]	Loss: 0.2860	LR: 0.000800
Training Epoch: 18 [33280/48750]	Loss: 0.2393	LR: 0.000800
Training Epoch: 18 [33536/48750]	Loss: 0.3085	LR: 0.000800
Training Epoch: 18 [33792/48750]	Loss: 0.3280	LR: 0.000800
Training Epoch: 18 [34048/48750]	Loss: 0.3078	LR: 0.000800
Training Epoch: 18 [34304/48750]	Loss: 0.3070	LR: 0.000800
Training Epoch: 18 [34560/48750]	Loss: 0.3271	LR: 0.000800
Training Epoch: 18 [34816/48750]	Loss: 0.2620	LR: 0.000800
Training Epoch: 18 [35072/48750]	Loss: 0.2758	LR: 0.000800
Training Epoch: 18 [35328/48750]	Loss: 0.2914	LR: 0.000800
Training Epoch: 18 [35584/48750]	Loss: 0.2710	LR: 0.000800
Training Epoch: 18 [35840/48750]	Loss: 0.2436	LR: 0.000800
Training Epoch: 18 [36096/48750]	Loss: 0.2904	LR: 0.000800
Training Epoch: 18 [36352/48750]	Loss: 0.2481	LR: 0.000800
Training Epoch: 18 [36608/48750]	Loss: 0.1761	LR: 0.000800
Training Epoch: 18 [36864/48750]	Loss: 0.2351	LR: 0.000800
Training Epoch: 18 [37120/48750]	Loss: 0.2962	LR: 0.000800
Training Epoch: 18 [37376/48750]	Loss: 0.2217	LR: 0.000800
Training Epoch: 18 [37632/48750]	Loss: 0.2923	LR: 0.000800
Training Epoch: 18 [37888/48750]	Loss: 0.2912	LR: 0.000800
Training Epoch: 18 [38144/48750]	Loss: 0.2410	LR: 0.000800
Training Epoch: 18 [38400/48750]	Loss: 0.2800	LR: 0.000800
Training Epoch: 18 [38656/48750]	Loss: 0.2965	LR: 0.000800
Training Epoch: 18 [38912/48750]	Loss: 0.3283	LR: 0.000800
Training Epoch: 18 [39168/48750]	Loss: 0.2142	LR: 0.000800
Training Epoch: 18 [39424/48750]	Loss: 0.3093	LR: 0.000800
Training Epoch: 18 [39680/48750]	Loss: 0.2092	LR: 0.000800
Training Epoch: 18 [39936/48750]	Loss: 0.2263	LR: 0.000800
Training Epoch: 18 [40192/48750]	Loss: 0.3432	LR: 0.000800
Training Epoch: 18 [40448/48750]	Loss: 0.2537	LR: 0.000800
Training Epoch: 18 [40704/48750]	Loss: 0.2283	LR: 0.000800
Training Epoch: 18 [40960/48750]	Loss: 0.3070	LR: 0.000800
Training Epoch: 18 [41216/48750]	Loss: 0.2589	LR: 0.000800
Training Epoch: 18 [41472/48750]	Loss: 0.2568	LR: 0.000800
Training Epoch: 18 [41728/48750]	Loss: 0.2216	LR: 0.000800
Training Epoch: 18 [41984/48750]	Loss: 0.2612	LR: 0.000800
Training Epoch: 18 [42240/48750]	Loss: 0.2896	LR: 0.000800
Training Epoch: 18 [42496/48750]	Loss: 0.2165	LR: 0.000800
Training Epoch: 18 [42752/48750]	Loss: 0.2842	LR: 0.000800
Training Epoch: 18 [43008/48750]	Loss: 0.3092	LR: 0.000800
Training Epoch: 18 [43264/48750]	Loss: 0.2055	LR: 0.000800
Training Epoch: 18 [43520/48750]	Loss: 0.2715	LR: 0.000800
Training Epoch: 18 [43776/48750]	Loss: 0.1908	LR: 0.000800
Training Epoch: 18 [44032/48750]	Loss: 0.2902	LR: 0.000800
Training Epoch: 18 [44288/48750]	Loss: 0.2649	LR: 0.000800
Training Epoch: 18 [44544/48750]	Loss: 0.2372	LR: 0.000800
Training Epoch: 18 [44800/48750]	Loss: 0.2689	LR: 0.000800
Training Epoch: 18 [45056/48750]	Loss: 0.2326	LR: 0.000800
Training Epoch: 18 [45312/48750]	Loss: 0.2243	LR: 0.000800
Training Epoch: 18 [45568/48750]	Loss: 0.2616	LR: 0.000800
Training Epoch: 18 [45824/48750]	Loss: 0.2400	LR: 0.000800
Training Epoch: 18 [46080/48750]	Loss: 0.2295	LR: 0.000800
Training Epoch: 18 [46336/48750]	Loss: 0.3077	LR: 0.000800
Training Epoch: 18 [46592/48750]	Loss: 0.2484	LR: 0.000800
Training Epoch: 18 [46848/48750]	Loss: 0.3160	LR: 0.000800
Training Epoch: 18 [47104/48750]	Loss: 0.3574	LR: 0.000800
Training Epoch: 18 [47360/48750]	Loss: 0.2363	LR: 0.000800
Training Epoch: 18 [47616/48750]	Loss: 0.2638	LR: 0.000800
Training Epoch: 18 [47872/48750]	Loss: 0.3527	LR: 0.000800
Training Epoch: 18 [48128/48750]	Loss: 0.2460	LR: 0.000800
Training Epoch: 18 [48384/48750]	Loss: 0.2734	LR: 0.000800
Training Epoch: 18 [48640/48750]	Loss: 0.2697	LR: 0.000800
Training Epoch: 18 [48750/48750]	Loss: 0.2783	LR: 0.000800
Epoch 18 - Average Train Loss: 0.2621, Train Accuracy: 0.9099
Epoch 18 training time consumed: 29.84s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0013, Accuracy: 0.8946, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_15h_16m_09s/ResNet18-Cifar10-seed3-ret75-18-best.pth
Training Epoch: 19 [256/48750]	Loss: 0.2103	LR: 0.000800
Training Epoch: 19 [512/48750]	Loss: 0.1772	LR: 0.000800
Training Epoch: 19 [768/48750]	Loss: 0.2310	LR: 0.000800
Training Epoch: 19 [1024/48750]	Loss: 0.2695	LR: 0.000800
Training Epoch: 19 [1280/48750]	Loss: 0.2360	LR: 0.000800
Training Epoch: 19 [1536/48750]	Loss: 0.2270	LR: 0.000800
Training Epoch: 19 [1792/48750]	Loss: 0.2601	LR: 0.000800
Training Epoch: 19 [2048/48750]	Loss: 0.2921	LR: 0.000800
Training Epoch: 19 [2304/48750]	Loss: 0.1951	LR: 0.000800
Training Epoch: 19 [2560/48750]	Loss: 0.2483	LR: 0.000800
Training Epoch: 19 [2816/48750]	Loss: 0.2505	LR: 0.000800
Training Epoch: 19 [3072/48750]	Loss: 0.2317	LR: 0.000800
Training Epoch: 19 [3328/48750]	Loss: 0.2982	LR: 0.000800
Training Epoch: 19 [3584/48750]	Loss: 0.2483	LR: 0.000800
Training Epoch: 19 [3840/48750]	Loss: 0.2818	LR: 0.000800
Training Epoch: 19 [4096/48750]	Loss: 0.2738	LR: 0.000800
Training Epoch: 19 [4352/48750]	Loss: 0.3416	LR: 0.000800
Training Epoch: 19 [4608/48750]	Loss: 0.2697	LR: 0.000800
Training Epoch: 19 [4864/48750]	Loss: 0.2315	LR: 0.000800
Training Epoch: 19 [5120/48750]	Loss: 0.2929	LR: 0.000800
Training Epoch: 19 [5376/48750]	Loss: 0.3789	LR: 0.000800
Training Epoch: 19 [5632/48750]	Loss: 0.1908	LR: 0.000800
Training Epoch: 19 [5888/48750]	Loss: 0.2747	LR: 0.000800
Training Epoch: 19 [6144/48750]	Loss: 0.1933	LR: 0.000800
Training Epoch: 19 [6400/48750]	Loss: 0.2944	LR: 0.000800
Training Epoch: 19 [6656/48750]	Loss: 0.2627	LR: 0.000800
Training Epoch: 19 [6912/48750]	Loss: 0.2248	LR: 0.000800
Training Epoch: 19 [7168/48750]	Loss: 0.2271	LR: 0.000800
Training Epoch: 19 [7424/48750]	Loss: 0.2154	LR: 0.000800
Training Epoch: 19 [7680/48750]	Loss: 0.2539	LR: 0.000800
Training Epoch: 19 [7936/48750]	Loss: 0.2087	LR: 0.000800
Training Epoch: 19 [8192/48750]	Loss: 0.2401	LR: 0.000800
Training Epoch: 19 [8448/48750]	Loss: 0.2245	LR: 0.000800
Training Epoch: 19 [8704/48750]	Loss: 0.3009	LR: 0.000800
Training Epoch: 19 [8960/48750]	Loss: 0.2486	LR: 0.000800
Training Epoch: 19 [9216/48750]	Loss: 0.2067	LR: 0.000800
Training Epoch: 19 [9472/48750]	Loss: 0.3186	LR: 0.000800
Training Epoch: 19 [9728/48750]	Loss: 0.2843	LR: 0.000800
Training Epoch: 19 [9984/48750]	Loss: 0.1907	LR: 0.000800
Training Epoch: 19 [10240/48750]	Loss: 0.2822	LR: 0.000800
Training Epoch: 19 [10496/48750]	Loss: 0.3173	LR: 0.000800
Training Epoch: 19 [10752/48750]	Loss: 0.2130	LR: 0.000800
Training Epoch: 19 [11008/48750]	Loss: 0.2111	LR: 0.000800
Training Epoch: 19 [11264/48750]	Loss: 0.2246	LR: 0.000800
Training Epoch: 19 [11520/48750]	Loss: 0.3399	LR: 0.000800
Training Epoch: 19 [11776/48750]	Loss: 0.2653	LR: 0.000800
Training Epoch: 19 [12032/48750]	Loss: 0.3058	LR: 0.000800
Training Epoch: 19 [12288/48750]	Loss: 0.2870	LR: 0.000800
Training Epoch: 19 [12544/48750]	Loss: 0.3083	LR: 0.000800
Training Epoch: 19 [12800/48750]	Loss: 0.3000	LR: 0.000800
Training Epoch: 19 [13056/48750]	Loss: 0.2762	LR: 0.000800
Training Epoch: 19 [13312/48750]	Loss: 0.2511	LR: 0.000800
Training Epoch: 19 [13568/48750]	Loss: 0.2506	LR: 0.000800
Training Epoch: 19 [13824/48750]	Loss: 0.2510	LR: 0.000800
Training Epoch: 19 [14080/48750]	Loss: 0.2459	LR: 0.000800
Training Epoch: 19 [14336/48750]	Loss: 0.2281	LR: 0.000800
Training Epoch: 19 [14592/48750]	Loss: 0.1857	LR: 0.000800
Training Epoch: 19 [14848/48750]	Loss: 0.2301	LR: 0.000800
Training Epoch: 19 [15104/48750]	Loss: 0.3336	LR: 0.000800
Training Epoch: 19 [15360/48750]	Loss: 0.1961	LR: 0.000800
Training Epoch: 19 [15616/48750]	Loss: 0.2776	LR: 0.000800
Training Epoch: 19 [15872/48750]	Loss: 0.2654	LR: 0.000800
Training Epoch: 19 [16128/48750]	Loss: 0.2680	LR: 0.000800
Training Epoch: 19 [16384/48750]	Loss: 0.2699	LR: 0.000800
Training Epoch: 19 [16640/48750]	Loss: 0.2882	LR: 0.000800
Training Epoch: 19 [16896/48750]	Loss: 0.2273	LR: 0.000800
Training Epoch: 19 [17152/48750]	Loss: 0.2154	LR: 0.000800
Training Epoch: 19 [17408/48750]	Loss: 0.2684	LR: 0.000800
Training Epoch: 19 [17664/48750]	Loss: 0.2438	LR: 0.000800
Training Epoch: 19 [17920/48750]	Loss: 0.2269	LR: 0.000800
Training Epoch: 19 [18176/48750]	Loss: 0.3052	LR: 0.000800
Training Epoch: 19 [18432/48750]	Loss: 0.2131	LR: 0.000800
Training Epoch: 19 [18688/48750]	Loss: 0.2311	LR: 0.000800
Training Epoch: 19 [18944/48750]	Loss: 0.2572	LR: 0.000800
Training Epoch: 19 [19200/48750]	Loss: 0.3253	LR: 0.000800
Training Epoch: 19 [19456/48750]	Loss: 0.3348	LR: 0.000800
Training Epoch: 19 [19712/48750]	Loss: 0.2424	LR: 0.000800
Training Epoch: 19 [19968/48750]	Loss: 0.2911	LR: 0.000800
Training Epoch: 19 [20224/48750]	Loss: 0.2678	LR: 0.000800
Training Epoch: 19 [20480/48750]	Loss: 0.1981	LR: 0.000800
Training Epoch: 19 [20736/48750]	Loss: 0.2637	LR: 0.000800
Training Epoch: 19 [20992/48750]	Loss: 0.2872	LR: 0.000800
Training Epoch: 19 [21248/48750]	Loss: 0.2564	LR: 0.000800
Training Epoch: 19 [21504/48750]	Loss: 0.2473	LR: 0.000800
Training Epoch: 19 [21760/48750]	Loss: 0.2137	LR: 0.000800
Training Epoch: 19 [22016/48750]	Loss: 0.2620	LR: 0.000800
Training Epoch: 19 [22272/48750]	Loss: 0.2660	LR: 0.000800
Training Epoch: 19 [22528/48750]	Loss: 0.1935	LR: 0.000800
Training Epoch: 19 [22784/48750]	Loss: 0.2440	LR: 0.000800
Training Epoch: 19 [23040/48750]	Loss: 0.2939	LR: 0.000800
Training Epoch: 19 [23296/48750]	Loss: 0.1964	LR: 0.000800
Training Epoch: 19 [23552/48750]	Loss: 0.2258	LR: 0.000800
Training Epoch: 19 [23808/48750]	Loss: 0.2471	LR: 0.000800
Training Epoch: 19 [24064/48750]	Loss: 0.2946	LR: 0.000800
Training Epoch: 19 [24320/48750]	Loss: 0.2528	LR: 0.000800
Training Epoch: 19 [24576/48750]	Loss: 0.2018	LR: 0.000800
Training Epoch: 19 [24832/48750]	Loss: 0.3210	LR: 0.000800
Training Epoch: 19 [25088/48750]	Loss: 0.2960	LR: 0.000800
Training Epoch: 19 [25344/48750]	Loss: 0.2751	LR: 0.000800
Training Epoch: 19 [25600/48750]	Loss: 0.2649	LR: 0.000800
Training Epoch: 19 [25856/48750]	Loss: 0.2481	LR: 0.000800
Training Epoch: 19 [26112/48750]	Loss: 0.2984	LR: 0.000800
Training Epoch: 19 [26368/48750]	Loss: 0.2441	LR: 0.000800
Training Epoch: 19 [26624/48750]	Loss: 0.2521	LR: 0.000800
Training Epoch: 19 [26880/48750]	Loss: 0.3079	LR: 0.000800
Training Epoch: 19 [27136/48750]	Loss: 0.2585	LR: 0.000800
Training Epoch: 19 [27392/48750]	Loss: 0.2618	LR: 0.000800
Training Epoch: 19 [27648/48750]	Loss: 0.3398	LR: 0.000800
Training Epoch: 19 [27904/48750]	Loss: 0.2529	LR: 0.000800
Training Epoch: 19 [28160/48750]	Loss: 0.2686	LR: 0.000800
Training Epoch: 19 [28416/48750]	Loss: 0.2628	LR: 0.000800
Training Epoch: 19 [28672/48750]	Loss: 0.2226	LR: 0.000800
Training Epoch: 19 [28928/48750]	Loss: 0.2711	LR: 0.000800
Training Epoch: 19 [29184/48750]	Loss: 0.2199	LR: 0.000800
Training Epoch: 19 [29440/48750]	Loss: 0.2530	LR: 0.000800
Training Epoch: 19 [29696/48750]	Loss: 0.3285	LR: 0.000800
Training Epoch: 19 [29952/48750]	Loss: 0.2650	LR: 0.000800
Training Epoch: 19 [30208/48750]	Loss: 0.3543	LR: 0.000800
Training Epoch: 19 [30464/48750]	Loss: 0.2433	LR: 0.000800
Training Epoch: 19 [30720/48750]	Loss: 0.2594	LR: 0.000800
Training Epoch: 19 [30976/48750]	Loss: 0.2519	LR: 0.000800
Training Epoch: 19 [31232/48750]	Loss: 0.2656	LR: 0.000800
Training Epoch: 19 [31488/48750]	Loss: 0.2591	LR: 0.000800
Training Epoch: 19 [31744/48750]	Loss: 0.2193	LR: 0.000800
Training Epoch: 19 [32000/48750]	Loss: 0.2753	LR: 0.000800
Training Epoch: 19 [32256/48750]	Loss: 0.1551	LR: 0.000800
Training Epoch: 19 [32512/48750]	Loss: 0.2304	LR: 0.000800
Training Epoch: 19 [32768/48750]	Loss: 0.2016	LR: 0.000800
Training Epoch: 19 [33024/48750]	Loss: 0.1894	LR: 0.000800
Training Epoch: 19 [33280/48750]	Loss: 0.2175	LR: 0.000800
Training Epoch: 19 [33536/48750]	Loss: 0.2401	LR: 0.000800
Training Epoch: 19 [33792/48750]	Loss: 0.2247	LR: 0.000800
Training Epoch: 19 [34048/48750]	Loss: 0.2244	LR: 0.000800
Training Epoch: 19 [34304/48750]	Loss: 0.2961	LR: 0.000800
Training Epoch: 19 [34560/48750]	Loss: 0.2534	LR: 0.000800
Training Epoch: 19 [34816/48750]	Loss: 0.2491	LR: 0.000800
Training Epoch: 19 [35072/48750]	Loss: 0.2306	LR: 0.000800
Training Epoch: 19 [35328/48750]	Loss: 0.2219	LR: 0.000800
Training Epoch: 19 [35584/48750]	Loss: 0.2938	LR: 0.000800
Training Epoch: 19 [35840/48750]	Loss: 0.2591	LR: 0.000800
Training Epoch: 19 [36096/48750]	Loss: 0.2737	LR: 0.000800
Training Epoch: 19 [36352/48750]	Loss: 0.2596	LR: 0.000800
Training Epoch: 19 [36608/48750]	Loss: 0.2555	LR: 0.000800
Training Epoch: 19 [36864/48750]	Loss: 0.2753	LR: 0.000800
Training Epoch: 19 [37120/48750]	Loss: 0.2200	LR: 0.000800
Training Epoch: 19 [37376/48750]	Loss: 0.2183	LR: 0.000800
Training Epoch: 19 [37632/48750]	Loss: 0.2716	LR: 0.000800
Training Epoch: 19 [37888/48750]	Loss: 0.2713	LR: 0.000800
Training Epoch: 19 [38144/48750]	Loss: 0.3214	LR: 0.000800
Training Epoch: 19 [38400/48750]	Loss: 0.3138	LR: 0.000800
Training Epoch: 19 [38656/48750]	Loss: 0.2415	LR: 0.000800
Training Epoch: 19 [38912/48750]	Loss: 0.2067	LR: 0.000800
Training Epoch: 19 [39168/48750]	Loss: 0.2376	LR: 0.000800
Training Epoch: 19 [39424/48750]	Loss: 0.2573	LR: 0.000800
Training Epoch: 19 [39680/48750]	Loss: 0.2041	LR: 0.000800
Training Epoch: 19 [39936/48750]	Loss: 0.2407	LR: 0.000800
Training Epoch: 19 [40192/48750]	Loss: 0.3459	LR: 0.000800
Training Epoch: 19 [40448/48750]	Loss: 0.3107	LR: 0.000800
Training Epoch: 19 [40704/48750]	Loss: 0.2375	LR: 0.000800
Training Epoch: 19 [40960/48750]	Loss: 0.2323	LR: 0.000800
Training Epoch: 19 [41216/48750]	Loss: 0.2116	LR: 0.000800
Training Epoch: 19 [41472/48750]	Loss: 0.2721	LR: 0.000800
Training Epoch: 19 [41728/48750]	Loss: 0.2440	LR: 0.000800
Training Epoch: 19 [41984/48750]	Loss: 0.2874	LR: 0.000800
Training Epoch: 19 [42240/48750]	Loss: 0.2134	LR: 0.000800
Training Epoch: 19 [42496/48750]	Loss: 0.2647	LR: 0.000800
Training Epoch: 19 [42752/48750]	Loss: 0.3074	LR: 0.000800
Training Epoch: 19 [43008/48750]	Loss: 0.2499	LR: 0.000800
Training Epoch: 19 [43264/48750]	Loss: 0.2639	LR: 0.000800
Training Epoch: 19 [43520/48750]	Loss: 0.2333	LR: 0.000800
Training Epoch: 19 [43776/48750]	Loss: 0.2228	LR: 0.000800
Training Epoch: 19 [44032/48750]	Loss: 0.2977	LR: 0.000800
Training Epoch: 19 [44288/48750]	Loss: 0.2247	LR: 0.000800
Training Epoch: 19 [44544/48750]	Loss: 0.2925	LR: 0.000800
Training Epoch: 19 [44800/48750]	Loss: 0.1738	LR: 0.000800
Training Epoch: 19 [45056/48750]	Loss: 0.2388	LR: 0.000800
Training Epoch: 19 [45312/48750]	Loss: 0.3019	LR: 0.000800
Training Epoch: 19 [45568/48750]	Loss: 0.2829	LR: 0.000800
Training Epoch: 19 [45824/48750]	Loss: 0.2949	LR: 0.000800
Training Epoch: 19 [46080/48750]	Loss: 0.2643	LR: 0.000800
Training Epoch: 19 [46336/48750]	Loss: 0.2446	LR: 0.000800
Training Epoch: 19 [46592/48750]	Loss: 0.2802	LR: 0.000800
Training Epoch: 19 [46848/48750]	Loss: 0.2487	LR: 0.000800
Training Epoch: 19 [47104/48750]	Loss: 0.2723	LR: 0.000800
Training Epoch: 19 [47360/48750]	Loss: 0.3010	LR: 0.000800
Training Epoch: 19 [47616/48750]	Loss: 0.2583	LR: 0.000800
Training Epoch: 19 [47872/48750]	Loss: 0.3400	LR: 0.000800
Training Epoch: 19 [48128/48750]	Loss: 0.2644	LR: 0.000800
Training Epoch: 19 [48384/48750]	Loss: 0.2403	LR: 0.000800
Training Epoch: 19 [48640/48750]	Loss: 0.2506	LR: 0.000800
Training Epoch: 19 [48750/48750]	Loss: 0.3081	LR: 0.000800
Epoch 19 - Average Train Loss: 0.2571, Train Accuracy: 0.9113
Epoch 19 training time consumed: 29.14s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0013, Accuracy: 0.8939, Time consumed:0.85s
Training Epoch: 20 [256/48750]	Loss: 0.2096	LR: 0.000800
Training Epoch: 20 [512/48750]	Loss: 0.2780	LR: 0.000800
Training Epoch: 20 [768/48750]	Loss: 0.2868	LR: 0.000800
Training Epoch: 20 [1024/48750]	Loss: 0.2257	LR: 0.000800
Training Epoch: 20 [1280/48750]	Loss: 0.2294	LR: 0.000800
Training Epoch: 20 [1536/48750]	Loss: 0.2519	LR: 0.000800
Training Epoch: 20 [1792/48750]	Loss: 0.3540	LR: 0.000800
Training Epoch: 20 [2048/48750]	Loss: 0.2625	LR: 0.000800
Training Epoch: 20 [2304/48750]	Loss: 0.2358	LR: 0.000800
Training Epoch: 20 [2560/48750]	Loss: 0.3470	LR: 0.000800
Training Epoch: 20 [2816/48750]	Loss: 0.2568	LR: 0.000800
Training Epoch: 20 [3072/48750]	Loss: 0.2874	LR: 0.000800
Training Epoch: 20 [3328/48750]	Loss: 0.2661	LR: 0.000800
Training Epoch: 20 [3584/48750]	Loss: 0.2441	LR: 0.000800
Training Epoch: 20 [3840/48750]	Loss: 0.2112	LR: 0.000800
Training Epoch: 20 [4096/48750]	Loss: 0.2257	LR: 0.000800
Training Epoch: 20 [4352/48750]	Loss: 0.3176	LR: 0.000800
Training Epoch: 20 [4608/48750]	Loss: 0.2794	LR: 0.000800
Training Epoch: 20 [4864/48750]	Loss: 0.2863	LR: 0.000800
Training Epoch: 20 [5120/48750]	Loss: 0.2752	LR: 0.000800
Training Epoch: 20 [5376/48750]	Loss: 0.3446	LR: 0.000800
Training Epoch: 20 [5632/48750]	Loss: 0.2706	LR: 0.000800
Training Epoch: 20 [5888/48750]	Loss: 0.2140	LR: 0.000800
Training Epoch: 20 [6144/48750]	Loss: 0.2362	LR: 0.000800
Training Epoch: 20 [6400/48750]	Loss: 0.2734	LR: 0.000800
Training Epoch: 20 [6656/48750]	Loss: 0.2223	LR: 0.000800
Training Epoch: 20 [6912/48750]	Loss: 0.1780	LR: 0.000800
Training Epoch: 20 [7168/48750]	Loss: 0.2546	LR: 0.000800
Training Epoch: 20 [7424/48750]	Loss: 0.2581	LR: 0.000800
Training Epoch: 20 [7680/48750]	Loss: 0.2305	LR: 0.000800
Training Epoch: 20 [7936/48750]	Loss: 0.2044	LR: 0.000800
Training Epoch: 20 [8192/48750]	Loss: 0.3119	LR: 0.000800
Training Epoch: 20 [8448/48750]	Loss: 0.2343	LR: 0.000800
Training Epoch: 20 [8704/48750]	Loss: 0.2175	LR: 0.000800
Training Epoch: 20 [8960/48750]	Loss: 0.2308	LR: 0.000800
Training Epoch: 20 [9216/48750]	Loss: 0.2851	LR: 0.000800
Training Epoch: 20 [9472/48750]	Loss: 0.2327	LR: 0.000800
Training Epoch: 20 [9728/48750]	Loss: 0.2481	LR: 0.000800
Training Epoch: 20 [9984/48750]	Loss: 0.2831	LR: 0.000800
Training Epoch: 20 [10240/48750]	Loss: 0.3114	LR: 0.000800
Training Epoch: 20 [10496/48750]	Loss: 0.2309	LR: 0.000800
Training Epoch: 20 [10752/48750]	Loss: 0.2529	LR: 0.000800
Training Epoch: 20 [11008/48750]	Loss: 0.1987	LR: 0.000800
Training Epoch: 20 [11264/48750]	Loss: 0.2287	LR: 0.000800
Training Epoch: 20 [11520/48750]	Loss: 0.2521	LR: 0.000800
Training Epoch: 20 [11776/48750]	Loss: 0.2506	LR: 0.000800
Training Epoch: 20 [12032/48750]	Loss: 0.1745	LR: 0.000800
Training Epoch: 20 [12288/48750]	Loss: 0.2331	LR: 0.000800
Training Epoch: 20 [12544/48750]	Loss: 0.2708	LR: 0.000800
Training Epoch: 20 [12800/48750]	Loss: 0.2301	LR: 0.000800
Training Epoch: 20 [13056/48750]	Loss: 0.2340	LR: 0.000800
Training Epoch: 20 [13312/48750]	Loss: 0.2119	LR: 0.000800
Training Epoch: 20 [13568/48750]	Loss: 0.2467	LR: 0.000800
Training Epoch: 20 [13824/48750]	Loss: 0.2534	LR: 0.000800
Training Epoch: 20 [14080/48750]	Loss: 0.2501	LR: 0.000800
Training Epoch: 20 [14336/48750]	Loss: 0.2365	LR: 0.000800
Training Epoch: 20 [14592/48750]	Loss: 0.2901	LR: 0.000800
Training Epoch: 20 [14848/48750]	Loss: 0.2203	LR: 0.000800
Training Epoch: 20 [15104/48750]	Loss: 0.2559	LR: 0.000800
Training Epoch: 20 [15360/48750]	Loss: 0.3394	LR: 0.000800
Training Epoch: 20 [15616/48750]	Loss: 0.2151	LR: 0.000800
Training Epoch: 20 [15872/48750]	Loss: 0.2689	LR: 0.000800
Training Epoch: 20 [16128/48750]	Loss: 0.2648	LR: 0.000800
Training Epoch: 20 [16384/48750]	Loss: 0.2419	LR: 0.000800
Training Epoch: 20 [16640/48750]	Loss: 0.1901	LR: 0.000800
Training Epoch: 20 [16896/48750]	Loss: 0.3390	LR: 0.000800
Training Epoch: 20 [17152/48750]	Loss: 0.3204	LR: 0.000800
Training Epoch: 20 [17408/48750]	Loss: 0.2219	LR: 0.000800
Training Epoch: 20 [17664/48750]	Loss: 0.2385	LR: 0.000800
Training Epoch: 20 [17920/48750]	Loss: 0.3514	LR: 0.000800
Training Epoch: 20 [18176/48750]	Loss: 0.2620	LR: 0.000800
Training Epoch: 20 [18432/48750]	Loss: 0.2104	LR: 0.000800
Training Epoch: 20 [18688/48750]	Loss: 0.2704	LR: 0.000800
Training Epoch: 20 [18944/48750]	Loss: 0.2631	LR: 0.000800
Training Epoch: 20 [19200/48750]	Loss: 0.2945	LR: 0.000800
Training Epoch: 20 [19456/48750]	Loss: 0.2269	LR: 0.000800
Training Epoch: 20 [19712/48750]	Loss: 0.2272	LR: 0.000800
Training Epoch: 20 [19968/48750]	Loss: 0.2740	LR: 0.000800
Training Epoch: 20 [20224/48750]	Loss: 0.2707	LR: 0.000800
Training Epoch: 20 [20480/48750]	Loss: 0.2755	LR: 0.000800
Training Epoch: 20 [20736/48750]	Loss: 0.2058	LR: 0.000800
Training Epoch: 20 [20992/48750]	Loss: 0.2645	LR: 0.000800
Training Epoch: 20 [21248/48750]	Loss: 0.3187	LR: 0.000800
Training Epoch: 20 [21504/48750]	Loss: 0.3095	LR: 0.000800
Training Epoch: 20 [21760/48750]	Loss: 0.1694	LR: 0.000800
Training Epoch: 20 [22016/48750]	Loss: 0.2073	LR: 0.000800
Training Epoch: 20 [22272/48750]	Loss: 0.2526	LR: 0.000800
Training Epoch: 20 [22528/48750]	Loss: 0.2778	LR: 0.000800
Training Epoch: 20 [22784/48750]	Loss: 0.2727	LR: 0.000800
Training Epoch: 20 [23040/48750]	Loss: 0.2755	LR: 0.000800
Training Epoch: 20 [23296/48750]	Loss: 0.3099	LR: 0.000800
Training Epoch: 20 [23552/48750]	Loss: 0.3660	LR: 0.000800
Training Epoch: 20 [23808/48750]	Loss: 0.1996	LR: 0.000800
Training Epoch: 20 [24064/48750]	Loss: 0.2365	LR: 0.000800
Training Epoch: 20 [24320/48750]	Loss: 0.2301	LR: 0.000800
Training Epoch: 20 [24576/48750]	Loss: 0.3111	LR: 0.000800
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Training Epoch: 20 [46080/48750]	Loss: 0.2241	LR: 0.000800
Training Epoch: 20 [46336/48750]	Loss: 0.2441	LR: 0.000800
Training Epoch: 20 [46592/48750]	Loss: 0.2334	LR: 0.000800
Training Epoch: 20 [46848/48750]	Loss: 0.2562	LR: 0.000800
Training Epoch: 20 [47104/48750]	Loss: 0.1825	LR: 0.000800
Training Epoch: 20 [47360/48750]	Loss: 0.2525	LR: 0.000800
Training Epoch: 20 [47616/48750]	Loss: 0.2138	LR: 0.000800
Training Epoch: 20 [47872/48750]	Loss: 0.2589	LR: 0.000800
Training Epoch: 20 [48128/48750]	Loss: 0.2738	LR: 0.000800
Training Epoch: 20 [48384/48750]	Loss: 0.2243	LR: 0.000800
Training Epoch: 20 [48640/48750]	Loss: 0.2903	LR: 0.000800
Training Epoch: 20 [48750/48750]	Loss: 0.3651	LR: 0.000800
Epoch 20 - Average Train Loss: 0.2578, Train Accuracy: 0.9101
Epoch 20 training time consumed: 29.17s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0013, Accuracy: 0.8948, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_15h_16m_09s/ResNet18-Cifar10-seed3-ret75-20-best.pth
Valid (Test) Dl:  10000
Train Dl:  50000
Retain Train Dl:  48750
Forget Train Dl:  1250
Retain Valid Dl:  48750
Forget Valid Dl:  1250
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 1250 samples
Set1 Distribution: 1250 samples
Set2 Distribution: 1250 samples
Set1 Distribution: 1250 samples
Set2 Distribution: 1250 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Test Accuracy: 89.580078125
Retain Accuracy: 91.24486541748047
Zero-Retain Forget (ZRF): 0.8305966258049011
Membership Inference Attack (MIA): 0.6288
Forget vs Retain Membership Inference Attack (MIA): 0.52
Forget vs Test Membership Inference Attack (MIA): 0.55
Test vs Retain Membership Inference Attack (MIA): 0.50525
Train vs Test Membership Inference Attack (MIA): 0.519
Forget Set Accuracy (Df): 89.48492431640625
Method Execution Time: 1539.44 seconds
