
Retain class distribution for seed 5:
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 5:
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: 2.3705	LR: 0.000000
Training Epoch: 1 [512/48750]	Loss: 2.3971	LR: 0.000524
Training Epoch: 1 [768/48750]	Loss: 2.3549	LR: 0.001047
Training Epoch: 1 [1024/48750]	Loss: 2.3249	LR: 0.001571
Training Epoch: 1 [1280/48750]	Loss: 2.3091	LR: 0.002094
Training Epoch: 1 [1536/48750]	Loss: 2.2669	LR: 0.002618
Training Epoch: 1 [1792/48750]	Loss: 2.2685	LR: 0.003141
Training Epoch: 1 [2048/48750]	Loss: 2.2094	LR: 0.003665
Training Epoch: 1 [2304/48750]	Loss: 2.2483	LR: 0.004188
Training Epoch: 1 [2560/48750]	Loss: 2.1640	LR: 0.004712
Training Epoch: 1 [2816/48750]	Loss: 2.1995	LR: 0.005236
Training Epoch: 1 [3072/48750]	Loss: 2.2121	LR: 0.005759
Training Epoch: 1 [3328/48750]	Loss: 2.0887	LR: 0.006283
Training Epoch: 1 [3584/48750]	Loss: 2.1128	LR: 0.006806
Training Epoch: 1 [3840/48750]	Loss: 2.0125	LR: 0.007330
Training Epoch: 1 [4096/48750]	Loss: 2.0337	LR: 0.007853
Training Epoch: 1 [4352/48750]	Loss: 2.0312	LR: 0.008377
Training Epoch: 1 [4608/48750]	Loss: 1.9901	LR: 0.008901
Training Epoch: 1 [4864/48750]	Loss: 1.9856	LR: 0.009424
Training Epoch: 1 [5120/48750]	Loss: 1.9406	LR: 0.009948
Training Epoch: 1 [5376/48750]	Loss: 1.8557	LR: 0.010471
Training Epoch: 1 [5632/48750]	Loss: 1.8520	LR: 0.010995
Training Epoch: 1 [5888/48750]	Loss: 1.8870	LR: 0.011518
Training Epoch: 1 [6144/48750]	Loss: 1.7450	LR: 0.012042
Training Epoch: 1 [6400/48750]	Loss: 1.8577	LR: 0.012565
Training Epoch: 1 [6656/48750]	Loss: 2.0074	LR: 0.013089
Training Epoch: 1 [6912/48750]	Loss: 1.8491	LR: 0.013613
Training Epoch: 1 [7168/48750]	Loss: 1.7415	LR: 0.014136
Training Epoch: 1 [7424/48750]	Loss: 1.8985	LR: 0.014660
Training Epoch: 1 [7680/48750]	Loss: 1.8534	LR: 0.015183
Training Epoch: 1 [7936/48750]	Loss: 1.9035	LR: 0.015707
Training Epoch: 1 [8192/48750]	Loss: 1.8167	LR: 0.016230
Training Epoch: 1 [8448/48750]	Loss: 1.8061	LR: 0.016754
Training Epoch: 1 [8704/48750]	Loss: 1.7962	LR: 0.017277
Training Epoch: 1 [8960/48750]	Loss: 1.7879	LR: 0.017801
Training Epoch: 1 [9216/48750]	Loss: 1.8546	LR: 0.018325
Training Epoch: 1 [9472/48750]	Loss: 1.7060	LR: 0.018848
Training Epoch: 1 [9728/48750]	Loss: 1.6927	LR: 0.019372
Training Epoch: 1 [9984/48750]	Loss: 1.7140	LR: 0.019895
Training Epoch: 1 [10240/48750]	Loss: 1.8070	LR: 0.020419
Training Epoch: 1 [10496/48750]	Loss: 1.7081	LR: 0.020942
Training Epoch: 1 [10752/48750]	Loss: 1.9440	LR: 0.021466
Training Epoch: 1 [11008/48750]	Loss: 1.7902	LR: 0.021990
Training Epoch: 1 [11264/48750]	Loss: 1.8296	LR: 0.022513
Training Epoch: 1 [11520/48750]	Loss: 1.7942	LR: 0.023037
Training Epoch: 1 [11776/48750]	Loss: 1.7684	LR: 0.023560
Training Epoch: 1 [12032/48750]	Loss: 1.7821	LR: 0.024084
Training Epoch: 1 [12288/48750]	Loss: 1.6517	LR: 0.024607
Training Epoch: 1 [12544/48750]	Loss: 1.7744	LR: 0.025131
Training Epoch: 1 [12800/48750]	Loss: 1.7654	LR: 0.025654
Training Epoch: 1 [13056/48750]	Loss: 1.6745	LR: 0.026178
Training Epoch: 1 [13312/48750]	Loss: 1.6790	LR: 0.026702
Training Epoch: 1 [13568/48750]	Loss: 1.7352	LR: 0.027225
Training Epoch: 1 [13824/48750]	Loss: 1.8050	LR: 0.027749
Training Epoch: 1 [14080/48750]	Loss: 1.8377	LR: 0.028272
Training Epoch: 1 [14336/48750]	Loss: 1.6630	LR: 0.028796
Training Epoch: 1 [14592/48750]	Loss: 1.8645	LR: 0.029319
Training Epoch: 1 [14848/48750]	Loss: 1.8295	LR: 0.029843
Training Epoch: 1 [15104/48750]	Loss: 1.6793	LR: 0.030366
Training Epoch: 1 [15360/48750]	Loss: 1.8784	LR: 0.030890
Training Epoch: 1 [15616/48750]	Loss: 1.7312	LR: 0.031414
Training Epoch: 1 [15872/48750]	Loss: 1.7184	LR: 0.031937
Training Epoch: 1 [16128/48750]	Loss: 1.7256	LR: 0.032461
Training Epoch: 1 [16384/48750]	Loss: 1.7054	LR: 0.032984
Training Epoch: 1 [16640/48750]	Loss: 1.8749	LR: 0.033508
Training Epoch: 1 [16896/48750]	Loss: 1.7630	LR: 0.034031
Training Epoch: 1 [17152/48750]	Loss: 1.7178	LR: 0.034555
Training Epoch: 1 [17408/48750]	Loss: 1.6087	LR: 0.035079
Training Epoch: 1 [17664/48750]	Loss: 1.7524	LR: 0.035602
Training Epoch: 1 [17920/48750]	Loss: 1.6929	LR: 0.036126
Training Epoch: 1 [18176/48750]	Loss: 1.6706	LR: 0.036649
Training Epoch: 1 [18432/48750]	Loss: 1.7342	LR: 0.037173
Training Epoch: 1 [18688/48750]	Loss: 1.7776	LR: 0.037696
Training Epoch: 1 [18944/48750]	Loss: 1.8446	LR: 0.038220
Training Epoch: 1 [19200/48750]	Loss: 1.9999	LR: 0.038743
Training Epoch: 1 [19456/48750]	Loss: 1.7588	LR: 0.039267
Training Epoch: 1 [19712/48750]	Loss: 1.5323	LR: 0.039791
Training Epoch: 1 [19968/48750]	Loss: 1.7449	LR: 0.040314
Training Epoch: 1 [20224/48750]	Loss: 1.7965	LR: 0.040838
Training Epoch: 1 [20480/48750]	Loss: 1.7136	LR: 0.041361
Training Epoch: 1 [20736/48750]	Loss: 1.6823	LR: 0.041885
Training Epoch: 1 [20992/48750]	Loss: 1.6359	LR: 0.042408
Training Epoch: 1 [21248/48750]	Loss: 2.0973	LR: 0.042932
Training Epoch: 1 [21504/48750]	Loss: 1.7601	LR: 0.043455
Training Epoch: 1 [21760/48750]	Loss: 1.7662	LR: 0.043979
Training Epoch: 1 [22016/48750]	Loss: 1.7887	LR: 0.044503
Training Epoch: 1 [22272/48750]	Loss: 1.5743	LR: 0.045026
Training Epoch: 1 [22528/48750]	Loss: 1.8559	LR: 0.045550
Training Epoch: 1 [22784/48750]	Loss: 1.8213	LR: 0.046073
Training Epoch: 1 [23040/48750]	Loss: 1.5565	LR: 0.046597
Training Epoch: 1 [23296/48750]	Loss: 1.6716	LR: 0.047120
Training Epoch: 1 [23552/48750]	Loss: 1.7065	LR: 0.047644
Training Epoch: 1 [23808/48750]	Loss: 1.7355	LR: 0.048168
Training Epoch: 1 [24064/48750]	Loss: 1.6823	LR: 0.048691
Training Epoch: 1 [24320/48750]	Loss: 1.6390	LR: 0.049215
Training Epoch: 1 [24576/48750]	Loss: 1.5674	LR: 0.049738
Training Epoch: 1 [24832/48750]	Loss: 1.6434	LR: 0.050262
Training Epoch: 1 [25088/48750]	Loss: 1.6481	LR: 0.050785
Training Epoch: 1 [25344/48750]	Loss: 1.5459	LR: 0.051309
Training Epoch: 1 [25600/48750]	Loss: 1.6294	LR: 0.051832
Training Epoch: 1 [25856/48750]	Loss: 1.5265	LR: 0.052356
Training Epoch: 1 [26112/48750]	Loss: 1.6368	LR: 0.052880
Training Epoch: 1 [26368/48750]	Loss: 1.7730	LR: 0.053403
Training Epoch: 1 [26624/48750]	Loss: 1.6157	LR: 0.053927
Training Epoch: 1 [26880/48750]	Loss: 1.6318	LR: 0.054450
Training Epoch: 1 [27136/48750]	Loss: 1.5050	LR: 0.054974
Training Epoch: 1 [27392/48750]	Loss: 1.7470	LR: 0.055497
Training Epoch: 1 [27648/48750]	Loss: 1.5730	LR: 0.056021
Training Epoch: 1 [27904/48750]	Loss: 1.7504	LR: 0.056545
Training Epoch: 1 [28160/48750]	Loss: 1.6385	LR: 0.057068
Training Epoch: 1 [28416/48750]	Loss: 1.6265	LR: 0.057592
Training Epoch: 1 [28672/48750]	Loss: 1.6728	LR: 0.058115
Training Epoch: 1 [28928/48750]	Loss: 1.5453	LR: 0.058639
Training Epoch: 1 [29184/48750]	Loss: 1.5629	LR: 0.059162
Training Epoch: 1 [29440/48750]	Loss: 1.4215	LR: 0.059686
Training Epoch: 1 [29696/48750]	Loss: 1.5966	LR: 0.060209
Training Epoch: 1 [29952/48750]	Loss: 1.6666	LR: 0.060733
Training Epoch: 1 [30208/48750]	Loss: 1.6494	LR: 0.061257
Training Epoch: 1 [30464/48750]	Loss: 1.5987	LR: 0.061780
Training Epoch: 1 [30720/48750]	Loss: 1.7861	LR: 0.062304
Training Epoch: 1 [30976/48750]	Loss: 1.5440	LR: 0.062827
Training Epoch: 1 [31232/48750]	Loss: 1.4764	LR: 0.063351
Training Epoch: 1 [31488/48750]	Loss: 1.6310	LR: 0.063874
Training Epoch: 1 [31744/48750]	Loss: 1.5611	LR: 0.064398
Training Epoch: 1 [32000/48750]	Loss: 1.6925	LR: 0.064921
Training Epoch: 1 [32256/48750]	Loss: 1.5555	LR: 0.065445
Training Epoch: 1 [32512/48750]	Loss: 1.5817	LR: 0.065969
Training Epoch: 1 [32768/48750]	Loss: 1.5678	LR: 0.066492
Training Epoch: 1 [33024/48750]	Loss: 1.5805	LR: 0.067016
Training Epoch: 1 [33280/48750]	Loss: 1.6517	LR: 0.067539
Training Epoch: 1 [33536/48750]	Loss: 1.5897	LR: 0.068063
Training Epoch: 1 [33792/48750]	Loss: 1.4949	LR: 0.068586
Training Epoch: 1 [34048/48750]	Loss: 1.6677	LR: 0.069110
Training Epoch: 1 [34304/48750]	Loss: 1.7127	LR: 0.069634
Training Epoch: 1 [34560/48750]	Loss: 1.7888	LR: 0.070157
Training Epoch: 1 [34816/48750]	Loss: 1.5594	LR: 0.070681
Training Epoch: 1 [35072/48750]	Loss: 1.7266	LR: 0.071204
Training Epoch: 1 [35328/48750]	Loss: 1.7869	LR: 0.071728
Training Epoch: 1 [35584/48750]	Loss: 1.7157	LR: 0.072251
Training Epoch: 1 [35840/48750]	Loss: 1.5539	LR: 0.072775
Training Epoch: 1 [36096/48750]	Loss: 1.4756	LR: 0.073298
Training Epoch: 1 [36352/48750]	Loss: 1.6261	LR: 0.073822
Training Epoch: 1 [36608/48750]	Loss: 1.6143	LR: 0.074346
Training Epoch: 1 [36864/48750]	Loss: 1.5046	LR: 0.074869
Training Epoch: 1 [37120/48750]	Loss: 1.7802	LR: 0.075393
Training Epoch: 1 [37376/48750]	Loss: 1.4650	LR: 0.075916
Training Epoch: 1 [37632/48750]	Loss: 1.3767	LR: 0.076440
Training Epoch: 1 [37888/48750]	Loss: 1.5014	LR: 0.076963
Training Epoch: 1 [38144/48750]	Loss: 1.5012	LR: 0.077487
Training Epoch: 1 [38400/48750]	Loss: 1.7023	LR: 0.078010
Training Epoch: 1 [38656/48750]	Loss: 1.4251	LR: 0.078534
Training Epoch: 1 [38912/48750]	Loss: 1.7440	LR: 0.079058
Training Epoch: 1 [39168/48750]	Loss: 1.4929	LR: 0.079581
Training Epoch: 1 [39424/48750]	Loss: 1.4796	LR: 0.080105
Training Epoch: 1 [39680/48750]	Loss: 1.5901	LR: 0.080628
Training Epoch: 1 [39936/48750]	Loss: 1.6108	LR: 0.081152
Training Epoch: 1 [40192/48750]	Loss: 1.6212	LR: 0.081675
Training Epoch: 1 [40448/48750]	Loss: 1.4205	LR: 0.082199
Training Epoch: 1 [40704/48750]	Loss: 1.4102	LR: 0.082723
Training Epoch: 1 [40960/48750]	Loss: 1.4602	LR: 0.083246
Training Epoch: 1 [41216/48750]	Loss: 1.4884	LR: 0.083770
Training Epoch: 1 [41472/48750]	Loss: 1.4139	LR: 0.084293
Training Epoch: 1 [41728/48750]	Loss: 1.4255	LR: 0.084817
Training Epoch: 1 [41984/48750]	Loss: 1.4550	LR: 0.085340
Training Epoch: 1 [42240/48750]	Loss: 1.4390	LR: 0.085864
Training Epoch: 1 [42496/48750]	Loss: 1.3174	LR: 0.086387
Training Epoch: 1 [42752/48750]	Loss: 1.4825	LR: 0.086911
Training Epoch: 1 [43008/48750]	Loss: 1.6770	LR: 0.087435
Training Epoch: 1 [43264/48750]	Loss: 1.3059	LR: 0.087958
Training Epoch: 1 [43520/48750]	Loss: 1.3336	LR: 0.088482
Training Epoch: 1 [43776/48750]	Loss: 1.3602	LR: 0.089005
Training Epoch: 1 [44032/48750]	Loss: 1.5159	LR: 0.089529
Training Epoch: 1 [44288/48750]	Loss: 1.5568	LR: 0.090052
Training Epoch: 1 [44544/48750]	Loss: 1.5735	LR: 0.090576
Training Epoch: 1 [44800/48750]	Loss: 1.3267	LR: 0.091099
Training Epoch: 1 [45056/48750]	Loss: 1.4162	LR: 0.091623
Training Epoch: 1 [45312/48750]	Loss: 1.4523	LR: 0.092147
Training Epoch: 1 [45568/48750]	Loss: 1.3749	LR: 0.092670
Training Epoch: 1 [45824/48750]	Loss: 1.3184	LR: 0.093194
Training Epoch: 1 [46080/48750]	Loss: 1.4366	LR: 0.093717
Training Epoch: 1 [46336/48750]	Loss: 1.3322	LR: 0.094241
Training Epoch: 1 [46592/48750]	Loss: 1.4084	LR: 0.094764
Training Epoch: 1 [46848/48750]	Loss: 1.3205	LR: 0.095288
Training Epoch: 1 [47104/48750]	Loss: 1.3704	LR: 0.095812
Training Epoch: 1 [47360/48750]	Loss: 1.3959	LR: 0.096335
Training Epoch: 1 [47616/48750]	Loss: 1.4178	LR: 0.096859
Training Epoch: 1 [47872/48750]	Loss: 1.3458	LR: 0.097382
Training Epoch: 1 [48128/48750]	Loss: 1.4893	LR: 0.097906
Training Epoch: 1 [48384/48750]	Loss: 1.4471	LR: 0.098429
Training Epoch: 1 [48640/48750]	Loss: 1.5019	LR: 0.098953
Training Epoch: 1 [48750/48750]	Loss: 1.4826	LR: 0.099476
Epoch 1 - Average Train Loss: 1.6981, Train Accuracy: 0.3773
Epoch 1 training time consumed: 30.25s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0077, Accuracy: 0.4197, Time consumed:1.03s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_20h_49m_17s/ResNet18-Cifar10-seed5-ret75-1-best.pth
Training Epoch: 2 [256/48750]	Loss: 1.5626	LR: 0.100000
Training Epoch: 2 [512/48750]	Loss: 1.4268	LR: 0.100000
Training Epoch: 2 [768/48750]	Loss: 1.3326	LR: 0.100000
Training Epoch: 2 [1024/48750]	Loss: 1.4813	LR: 0.100000
Training Epoch: 2 [1280/48750]	Loss: 1.5907	LR: 0.100000
Training Epoch: 2 [1536/48750]	Loss: 1.5735	LR: 0.100000
Training Epoch: 2 [1792/48750]	Loss: 1.5114	LR: 0.100000
Training Epoch: 2 [2048/48750]	Loss: 1.6483	LR: 0.100000
Training Epoch: 2 [2304/48750]	Loss: 1.7231	LR: 0.100000
Training Epoch: 2 [2560/48750]	Loss: 1.6859	LR: 0.100000
Training Epoch: 2 [2816/48750]	Loss: 1.3710	LR: 0.100000
Training Epoch: 2 [3072/48750]	Loss: 1.7929	LR: 0.100000
Training Epoch: 2 [3328/48750]	Loss: 1.4106	LR: 0.100000
Training Epoch: 2 [3584/48750]	Loss: 1.5540	LR: 0.100000
Training Epoch: 2 [3840/48750]	Loss: 1.4328	LR: 0.100000
Training Epoch: 2 [4096/48750]	Loss: 1.4394	LR: 0.100000
Training Epoch: 2 [4352/48750]	Loss: 1.5572	LR: 0.100000
Training Epoch: 2 [4608/48750]	Loss: 1.4210	LR: 0.100000
Training Epoch: 2 [4864/48750]	Loss: 1.3536	LR: 0.100000
Training Epoch: 2 [5120/48750]	Loss: 1.3624	LR: 0.100000
Training Epoch: 2 [5376/48750]	Loss: 1.5155	LR: 0.100000
Training Epoch: 2 [5632/48750]	Loss: 1.2719	LR: 0.100000
Training Epoch: 2 [5888/48750]	Loss: 1.3253	LR: 0.100000
Training Epoch: 2 [6144/48750]	Loss: 1.6399	LR: 0.100000
Training Epoch: 2 [6400/48750]	Loss: 1.4082	LR: 0.100000
Training Epoch: 2 [6656/48750]	Loss: 1.2597	LR: 0.100000
Training Epoch: 2 [6912/48750]	Loss: 1.4367	LR: 0.100000
Training Epoch: 2 [7168/48750]	Loss: 1.3317	LR: 0.100000
Training Epoch: 2 [7424/48750]	Loss: 1.3873	LR: 0.100000
Training Epoch: 2 [7680/48750]	Loss: 1.3632	LR: 0.100000
Training Epoch: 2 [7936/48750]	Loss: 1.2453	LR: 0.100000
Training Epoch: 2 [8192/48750]	Loss: 1.3924	LR: 0.100000
Training Epoch: 2 [8448/48750]	Loss: 1.2340	LR: 0.100000
Training Epoch: 2 [8704/48750]	Loss: 1.4261	LR: 0.100000
Training Epoch: 2 [8960/48750]	Loss: 1.4118	LR: 0.100000
Training Epoch: 2 [9216/48750]	Loss: 1.2260	LR: 0.100000
Training Epoch: 2 [9472/48750]	Loss: 1.3641	LR: 0.100000
Training Epoch: 2 [9728/48750]	Loss: 1.3774	LR: 0.100000
Training Epoch: 2 [9984/48750]	Loss: 1.2517	LR: 0.100000
Training Epoch: 2 [10240/48750]	Loss: 1.3306	LR: 0.100000
Training Epoch: 2 [10496/48750]	Loss: 1.2825	LR: 0.100000
Training Epoch: 2 [10752/48750]	Loss: 1.2797	LR: 0.100000
Training Epoch: 2 [11008/48750]	Loss: 1.3951	LR: 0.100000
Training Epoch: 2 [11264/48750]	Loss: 1.2695	LR: 0.100000
Training Epoch: 2 [11520/48750]	Loss: 1.3577	LR: 0.100000
Training Epoch: 2 [11776/48750]	Loss: 1.2183	LR: 0.100000
Training Epoch: 2 [12032/48750]	Loss: 1.2870	LR: 0.100000
Training Epoch: 2 [12288/48750]	Loss: 1.3591	LR: 0.100000
Training Epoch: 2 [12544/48750]	Loss: 1.2812	LR: 0.100000
Training Epoch: 2 [12800/48750]	Loss: 1.3690	LR: 0.100000
Training Epoch: 2 [13056/48750]	Loss: 1.3014	LR: 0.100000
Training Epoch: 2 [13312/48750]	Loss: 1.2138	LR: 0.100000
Training Epoch: 2 [13568/48750]	Loss: 1.1917	LR: 0.100000
Training Epoch: 2 [13824/48750]	Loss: 1.2271	LR: 0.100000
Training Epoch: 2 [14080/48750]	Loss: 1.3538	LR: 0.100000
Training Epoch: 2 [14336/48750]	Loss: 1.2099	LR: 0.100000
Training Epoch: 2 [14592/48750]	Loss: 1.3620	LR: 0.100000
Training Epoch: 2 [14848/48750]	Loss: 1.3248	LR: 0.100000
Training Epoch: 2 [15104/48750]	Loss: 1.1961	LR: 0.100000
Training Epoch: 2 [15360/48750]	Loss: 1.2664	LR: 0.100000
Training Epoch: 2 [15616/48750]	Loss: 1.3377	LR: 0.100000
Training Epoch: 2 [15872/48750]	Loss: 1.1729	LR: 0.100000
Training Epoch: 2 [16128/48750]	Loss: 1.2443	LR: 0.100000
Training Epoch: 2 [16384/48750]	Loss: 1.3111	LR: 0.100000
Training Epoch: 2 [16640/48750]	Loss: 1.4147	LR: 0.100000
Training Epoch: 2 [16896/48750]	Loss: 1.2115	LR: 0.100000
Training Epoch: 2 [17152/48750]	Loss: 1.0395	LR: 0.100000
Training Epoch: 2 [17408/48750]	Loss: 1.1738	LR: 0.100000
Training Epoch: 2 [17664/48750]	Loss: 1.3818	LR: 0.100000
Training Epoch: 2 [17920/48750]	Loss: 1.1488	LR: 0.100000
Training Epoch: 2 [18176/48750]	Loss: 1.2414	LR: 0.100000
Training Epoch: 2 [18432/48750]	Loss: 1.1417	LR: 0.100000
Training Epoch: 2 [18688/48750]	Loss: 1.3241	LR: 0.100000
Training Epoch: 2 [18944/48750]	Loss: 1.3841	LR: 0.100000
Training Epoch: 2 [19200/48750]	Loss: 1.3016	LR: 0.100000
Training Epoch: 2 [19456/48750]	Loss: 1.2578	LR: 0.100000
Training Epoch: 2 [19712/48750]	Loss: 1.0981	LR: 0.100000
Training Epoch: 2 [19968/48750]	Loss: 1.1745	LR: 0.100000
Training Epoch: 2 [20224/48750]	Loss: 1.1785	LR: 0.100000
Training Epoch: 2 [20480/48750]	Loss: 1.1742	LR: 0.100000
Training Epoch: 2 [20736/48750]	Loss: 1.2075	LR: 0.100000
Training Epoch: 2 [20992/48750]	Loss: 1.2606	LR: 0.100000
Training Epoch: 2 [21248/48750]	Loss: 1.0994	LR: 0.100000
Training Epoch: 2 [21504/48750]	Loss: 1.1187	LR: 0.100000
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Training Epoch: 2 [48750/48750]	Loss: 1.0655	LR: 0.100000
Epoch 2 - Average Train Loss: 1.2186, Train Accuracy: 0.5650
Epoch 2 training time consumed: 29.69s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0049, Accuracy: 0.6038, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_20h_49m_17s/ResNet18-Cifar10-seed5-ret75-2-best.pth
Training Epoch: 3 [256/48750]	Loss: 0.9778	LR: 0.100000
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Training Epoch: 3 [48384/48750]	Loss: 0.9334	LR: 0.100000
Training Epoch: 3 [48640/48750]	Loss: 0.8498	LR: 0.100000
Training Epoch: 3 [48750/48750]	Loss: 0.7953	LR: 0.100000
Epoch 3 - Average Train Loss: 0.9452, Train Accuracy: 0.6647
Epoch 3 training time consumed: 29.75s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0038, Accuracy: 0.6704, Time consumed:0.99s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_20h_49m_17s/ResNet18-Cifar10-seed5-ret75-3-best.pth
Training Epoch: 4 [256/48750]	Loss: 0.8770	LR: 0.100000
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Training Epoch: 4 [48640/48750]	Loss: 0.7436	LR: 0.100000
Training Epoch: 4 [48750/48750]	Loss: 1.0435	LR: 0.100000
Epoch 4 - Average Train Loss: 0.8158, Train Accuracy: 0.7141
Epoch 4 training time consumed: 30.18s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0033, Accuracy: 0.7189, Time consumed:1.00s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_20h_49m_17s/ResNet18-Cifar10-seed5-ret75-4-best.pth
Training Epoch: 5 [256/48750]	Loss: 0.7608	LR: 0.100000
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Training Epoch: 5 [48750/48750]	Loss: 0.7498	LR: 0.100000
Epoch 5 - Average Train Loss: 0.7186, Train Accuracy: 0.7477
Epoch 5 training time consumed: 30.01s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0033, Accuracy: 0.7374, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_20h_49m_17s/ResNet18-Cifar10-seed5-ret75-5-best.pth
Training Epoch: 6 [256/48750]	Loss: 0.5559	LR: 0.100000
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Training Epoch: 6 [48750/48750]	Loss: 0.5447	LR: 0.100000
Epoch 6 - Average Train Loss: 0.6504, Train Accuracy: 0.7726
Epoch 6 training time consumed: 30.03s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0031, Accuracy: 0.7422, Time consumed:1.03s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_20h_49m_17s/ResNet18-Cifar10-seed5-ret75-6-best.pth
Training Epoch: 7 [256/48750]	Loss: 0.5886	LR: 0.100000
Training Epoch: 7 [512/48750]	Loss: 0.5622	LR: 0.100000
Training Epoch: 7 [768/48750]	Loss: 0.5863	LR: 0.100000
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Training Epoch: 7 [2304/48750]	Loss: 0.6964	LR: 0.100000
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Training Epoch: 7 [48750/48750]	Loss: 0.6436	LR: 0.100000
Epoch 7 - Average Train Loss: 0.6022, Train Accuracy: 0.7880
Epoch 7 training time consumed: 29.94s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0025, Accuracy: 0.7921, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_20h_49m_17s/ResNet18-Cifar10-seed5-ret75-7-best.pth
Training Epoch: 8 [256/48750]	Loss: 0.5902	LR: 0.020000
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Training Epoch: 8 [28160/48750]	Loss: 0.4377	LR: 0.020000
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Training Epoch: 8 [45056/48750]	Loss: 0.3934	LR: 0.020000
Training Epoch: 8 [45312/48750]	Loss: 0.4109	LR: 0.020000
Training Epoch: 8 [45568/48750]	Loss: 0.4729	LR: 0.020000
Training Epoch: 8 [45824/48750]	Loss: 0.3939	LR: 0.020000
Training Epoch: 8 [46080/48750]	Loss: 0.3891	LR: 0.020000
Training Epoch: 8 [46336/48750]	Loss: 0.4088	LR: 0.020000
Training Epoch: 8 [46592/48750]	Loss: 0.3858	LR: 0.020000
Training Epoch: 8 [46848/48750]	Loss: 0.4208	LR: 0.020000
Training Epoch: 8 [47104/48750]	Loss: 0.3593	LR: 0.020000
Training Epoch: 8 [47360/48750]	Loss: 0.3377	LR: 0.020000
Training Epoch: 8 [47616/48750]	Loss: 0.3714	LR: 0.020000
Training Epoch: 8 [47872/48750]	Loss: 0.4866	LR: 0.020000
Training Epoch: 8 [48128/48750]	Loss: 0.4424	LR: 0.020000
Training Epoch: 8 [48384/48750]	Loss: 0.4037	LR: 0.020000
Training Epoch: 8 [48640/48750]	Loss: 0.4013	LR: 0.020000
Training Epoch: 8 [48750/48750]	Loss: 0.4326	LR: 0.020000
Epoch 8 - Average Train Loss: 0.4446, Train Accuracy: 0.8449
Epoch 8 training time consumed: 30.10s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0017, Accuracy: 0.8577, Time consumed:1.02s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_20h_49m_17s/ResNet18-Cifar10-seed5-ret75-8-best.pth
Training Epoch: 9 [256/48750]	Loss: 0.3845	LR: 0.020000
Training Epoch: 9 [512/48750]	Loss: 0.3732	LR: 0.020000
Training Epoch: 9 [768/48750]	Loss: 0.4285	LR: 0.020000
Training Epoch: 9 [1024/48750]	Loss: 0.3055	LR: 0.020000
Training Epoch: 9 [1280/48750]	Loss: 0.4082	LR: 0.020000
Training Epoch: 9 [1536/48750]	Loss: 0.2922	LR: 0.020000
Training Epoch: 9 [1792/48750]	Loss: 0.3978	LR: 0.020000
Training Epoch: 9 [2048/48750]	Loss: 0.4154	LR: 0.020000
Training Epoch: 9 [2304/48750]	Loss: 0.2731	LR: 0.020000
Training Epoch: 9 [2560/48750]	Loss: 0.3621	LR: 0.020000
Training Epoch: 9 [2816/48750]	Loss: 0.4391	LR: 0.020000
Training Epoch: 9 [3072/48750]	Loss: 0.4133	LR: 0.020000
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Training Epoch: 9 [3584/48750]	Loss: 0.4706	LR: 0.020000
Training Epoch: 9 [3840/48750]	Loss: 0.4354	LR: 0.020000
Training Epoch: 9 [4096/48750]	Loss: 0.4183	LR: 0.020000
Training Epoch: 9 [4352/48750]	Loss: 0.3834	LR: 0.020000
Training Epoch: 9 [4608/48750]	Loss: 0.3639	LR: 0.020000
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Training Epoch: 9 [32256/48750]	Loss: 0.3381	LR: 0.020000
Training Epoch: 9 [32512/48750]	Loss: 0.5021	LR: 0.020000
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Training Epoch: 9 [37376/48750]	Loss: 0.3991	LR: 0.020000
Training Epoch: 9 [37632/48750]	Loss: 0.3043	LR: 0.020000
Training Epoch: 9 [37888/48750]	Loss: 0.3381	LR: 0.020000
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Training Epoch: 9 [44800/48750]	Loss: 0.3521	LR: 0.020000
Training Epoch: 9 [45056/48750]	Loss: 0.3299	LR: 0.020000
Training Epoch: 9 [45312/48750]	Loss: 0.3893	LR: 0.020000
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Training Epoch: 9 [45824/48750]	Loss: 0.3745	LR: 0.020000
Training Epoch: 9 [46080/48750]	Loss: 0.4154	LR: 0.020000
Training Epoch: 9 [46336/48750]	Loss: 0.4491	LR: 0.020000
Training Epoch: 9 [46592/48750]	Loss: 0.3774	LR: 0.020000
Training Epoch: 9 [46848/48750]	Loss: 0.3882	LR: 0.020000
Training Epoch: 9 [47104/48750]	Loss: 0.3474	LR: 0.020000
Training Epoch: 9 [47360/48750]	Loss: 0.3918	LR: 0.020000
Training Epoch: 9 [47616/48750]	Loss: 0.3984	LR: 0.020000
Training Epoch: 9 [47872/48750]	Loss: 0.3639	LR: 0.020000
Training Epoch: 9 [48128/48750]	Loss: 0.4457	LR: 0.020000
Training Epoch: 9 [48384/48750]	Loss: 0.3376	LR: 0.020000
Training Epoch: 9 [48640/48750]	Loss: 0.3856	LR: 0.020000
Training Epoch: 9 [48750/48750]	Loss: 0.3331	LR: 0.020000
Epoch 9 - Average Train Loss: 0.3945, Train Accuracy: 0.8622
Epoch 9 training time consumed: 29.77s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0016, Accuracy: 0.8635, Time consumed:1.04s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_20h_49m_17s/ResNet18-Cifar10-seed5-ret75-9-best.pth
Training Epoch: 10 [256/48750]	Loss: 0.4281	LR: 0.020000
Training Epoch: 10 [512/48750]	Loss: 0.4134	LR: 0.020000
Training Epoch: 10 [768/48750]	Loss: 0.3863	LR: 0.020000
Training Epoch: 10 [1024/48750]	Loss: 0.3159	LR: 0.020000
Training Epoch: 10 [1280/48750]	Loss: 0.3909	LR: 0.020000
Training Epoch: 10 [1536/48750]	Loss: 0.2925	LR: 0.020000
Training Epoch: 10 [1792/48750]	Loss: 0.3538	LR: 0.020000
Training Epoch: 10 [2048/48750]	Loss: 0.3437	LR: 0.020000
Training Epoch: 10 [2304/48750]	Loss: 0.3492	LR: 0.020000
Training Epoch: 10 [2560/48750]	Loss: 0.4782	LR: 0.020000
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Training Epoch: 10 [47872/48750]	Loss: 0.3598	LR: 0.020000
Training Epoch: 10 [48128/48750]	Loss: 0.2576	LR: 0.020000
Training Epoch: 10 [48384/48750]	Loss: 0.4425	LR: 0.020000
Training Epoch: 10 [48640/48750]	Loss: 0.3551	LR: 0.020000
Training Epoch: 10 [48750/48750]	Loss: 0.4329	LR: 0.020000
Epoch 10 - Average Train Loss: 0.3725, Train Accuracy: 0.8699
Epoch 10 training time consumed: 30.01s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0016, Accuracy: 0.8690, Time consumed:0.99s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_20h_49m_17s/ResNet18-Cifar10-seed5-ret75-10-best.pth
Training Epoch: 11 [256/48750]	Loss: 0.3689	LR: 0.020000
Training Epoch: 11 [512/48750]	Loss: 0.3424	LR: 0.020000
Training Epoch: 11 [768/48750]	Loss: 0.3161	LR: 0.020000
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Training Epoch: 11 [1536/48750]	Loss: 0.3600	LR: 0.020000
Training Epoch: 11 [1792/48750]	Loss: 0.3270	LR: 0.020000
Training Epoch: 11 [2048/48750]	Loss: 0.2908	LR: 0.020000
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Training Epoch: 11 [2560/48750]	Loss: 0.4375	LR: 0.020000
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Training Epoch: 11 [3072/48750]	Loss: 0.3037	LR: 0.020000
Training Epoch: 11 [3328/48750]	Loss: 0.3410	LR: 0.020000
Training Epoch: 11 [3584/48750]	Loss: 0.3803	LR: 0.020000
Training Epoch: 11 [3840/48750]	Loss: 0.3509	LR: 0.020000
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Training Epoch: 11 [4608/48750]	Loss: 0.3474	LR: 0.020000
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Training Epoch: 11 [6400/48750]	Loss: 0.2981	LR: 0.020000
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Training Epoch: 11 [10496/48750]	Loss: 0.3959	LR: 0.020000
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Training Epoch: 11 [16896/48750]	Loss: 0.4002	LR: 0.020000
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Training Epoch: 11 [24576/48750]	Loss: 0.3660	LR: 0.020000
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Training Epoch: 11 [26624/48750]	Loss: 0.2957	LR: 0.020000
Training Epoch: 11 [26880/48750]	Loss: 0.3700	LR: 0.020000
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Training Epoch: 11 [30208/48750]	Loss: 0.3805	LR: 0.020000
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Training Epoch: 11 [31232/48750]	Loss: 0.3437	LR: 0.020000
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Training Epoch: 11 [32256/48750]	Loss: 0.3426	LR: 0.020000
Training Epoch: 11 [32512/48750]	Loss: 0.3807	LR: 0.020000
Training Epoch: 11 [32768/48750]	Loss: 0.3522	LR: 0.020000
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Training Epoch: 11 [43776/48750]	Loss: 0.3938	LR: 0.020000
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Training Epoch: 11 [44544/48750]	Loss: 0.4188	LR: 0.020000
Training Epoch: 11 [44800/48750]	Loss: 0.3954	LR: 0.020000
Training Epoch: 11 [45056/48750]	Loss: 0.3384	LR: 0.020000
Training Epoch: 11 [45312/48750]	Loss: 0.3168	LR: 0.020000
Training Epoch: 11 [45568/48750]	Loss: 0.3679	LR: 0.020000
Training Epoch: 11 [45824/48750]	Loss: 0.3450	LR: 0.020000
Training Epoch: 11 [46080/48750]	Loss: 0.3372	LR: 0.020000
Training Epoch: 11 [46336/48750]	Loss: 0.3484	LR: 0.020000
Training Epoch: 11 [46592/48750]	Loss: 0.3285	LR: 0.020000
Training Epoch: 11 [46848/48750]	Loss: 0.4867	LR: 0.020000
Training Epoch: 11 [47104/48750]	Loss: 0.3388	LR: 0.020000
Training Epoch: 11 [47360/48750]	Loss: 0.3107	LR: 0.020000
Training Epoch: 11 [47616/48750]	Loss: 0.3539	LR: 0.020000
Training Epoch: 11 [47872/48750]	Loss: 0.4203	LR: 0.020000
Training Epoch: 11 [48128/48750]	Loss: 0.3273	LR: 0.020000
Training Epoch: 11 [48384/48750]	Loss: 0.3747	LR: 0.020000
Training Epoch: 11 [48640/48750]	Loss: 0.4496	LR: 0.020000
Training Epoch: 11 [48750/48750]	Loss: 0.5576	LR: 0.020000
Epoch 11 - Average Train Loss: 0.3557, Train Accuracy: 0.8753
Epoch 11 training time consumed: 29.63s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0015, Accuracy: 0.8692, Time consumed:1.00s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_20h_49m_17s/ResNet18-Cifar10-seed5-ret75-11-best.pth
Training Epoch: 12 [256/48750]	Loss: 0.3292	LR: 0.004000
Training Epoch: 12 [512/48750]	Loss: 0.4143	LR: 0.004000
Training Epoch: 12 [768/48750]	Loss: 0.3904	LR: 0.004000
Training Epoch: 12 [1024/48750]	Loss: 0.3590	LR: 0.004000
Training Epoch: 12 [1280/48750]	Loss: 0.2782	LR: 0.004000
Training Epoch: 12 [1536/48750]	Loss: 0.2986	LR: 0.004000
Training Epoch: 12 [1792/48750]	Loss: 0.3318	LR: 0.004000
Training Epoch: 12 [2048/48750]	Loss: 0.2961	LR: 0.004000
Training Epoch: 12 [2304/48750]	Loss: 0.4691	LR: 0.004000
Training Epoch: 12 [2560/48750]	Loss: 0.2812	LR: 0.004000
Training Epoch: 12 [2816/48750]	Loss: 0.3227	LR: 0.004000
Training Epoch: 12 [3072/48750]	Loss: 0.3134	LR: 0.004000
Training Epoch: 12 [3328/48750]	Loss: 0.3106	LR: 0.004000
Training Epoch: 12 [3584/48750]	Loss: 0.3150	LR: 0.004000
Training Epoch: 12 [3840/48750]	Loss: 0.3775	LR: 0.004000
Training Epoch: 12 [4096/48750]	Loss: 0.3473	LR: 0.004000
Training Epoch: 12 [4352/48750]	Loss: 0.2503	LR: 0.004000
Training Epoch: 12 [4608/48750]	Loss: 0.3448	LR: 0.004000
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Training Epoch: 12 [28160/48750]	Loss: 0.2774	LR: 0.004000
Training Epoch: 12 [28416/48750]	Loss: 0.3040	LR: 0.004000
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Training Epoch: 12 [28928/48750]	Loss: 0.2356	LR: 0.004000
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Training Epoch: 12 [29440/48750]	Loss: 0.2754	LR: 0.004000
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Training Epoch: 12 [30976/48750]	Loss: 0.2913	LR: 0.004000
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Training Epoch: 12 [36096/48750]	Loss: 0.2482	LR: 0.004000
Training Epoch: 12 [36352/48750]	Loss: 0.2110	LR: 0.004000
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Training Epoch: 12 [37376/48750]	Loss: 0.3382	LR: 0.004000
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Training Epoch: 12 [40192/48750]	Loss: 0.2829	LR: 0.004000
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Training Epoch: 12 [43520/48750]	Loss: 0.3337	LR: 0.004000
Training Epoch: 12 [43776/48750]	Loss: 0.3092	LR: 0.004000
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Training Epoch: 12 [45056/48750]	Loss: 0.3212	LR: 0.004000
Training Epoch: 12 [45312/48750]	Loss: 0.2804	LR: 0.004000
Training Epoch: 12 [45568/48750]	Loss: 0.3260	LR: 0.004000
Training Epoch: 12 [45824/48750]	Loss: 0.2939	LR: 0.004000
Training Epoch: 12 [46080/48750]	Loss: 0.2897	LR: 0.004000
Training Epoch: 12 [46336/48750]	Loss: 0.3457	LR: 0.004000
Training Epoch: 12 [46592/48750]	Loss: 0.3520	LR: 0.004000
Training Epoch: 12 [46848/48750]	Loss: 0.3417	LR: 0.004000
Training Epoch: 12 [47104/48750]	Loss: 0.2671	LR: 0.004000
Training Epoch: 12 [47360/48750]	Loss: 0.2445	LR: 0.004000
Training Epoch: 12 [47616/48750]	Loss: 0.3315	LR: 0.004000
Training Epoch: 12 [47872/48750]	Loss: 0.2722	LR: 0.004000
Training Epoch: 12 [48128/48750]	Loss: 0.3400	LR: 0.004000
Training Epoch: 12 [48384/48750]	Loss: 0.3066	LR: 0.004000
Training Epoch: 12 [48640/48750]	Loss: 0.3372	LR: 0.004000
Training Epoch: 12 [48750/48750]	Loss: 0.2513	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3123, Train Accuracy: 0.8913
Epoch 12 training time consumed: 30.19s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0014, Accuracy: 0.8827, Time consumed:1.01s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_20h_49m_17s/ResNet18-Cifar10-seed5-ret75-12-best.pth
Training Epoch: 13 [256/48750]	Loss: 0.3332	LR: 0.004000
Training Epoch: 13 [512/48750]	Loss: 0.3201	LR: 0.004000
Training Epoch: 13 [768/48750]	Loss: 0.3205	LR: 0.004000
Training Epoch: 13 [1024/48750]	Loss: 0.2604	LR: 0.004000
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Training Epoch: 13 [47616/48750]	Loss: 0.3025	LR: 0.004000
Training Epoch: 13 [47872/48750]	Loss: 0.3442	LR: 0.004000
Training Epoch: 13 [48128/48750]	Loss: 0.3731	LR: 0.004000
Training Epoch: 13 [48384/48750]	Loss: 0.2562	LR: 0.004000
Training Epoch: 13 [48640/48750]	Loss: 0.3023	LR: 0.004000
Training Epoch: 13 [48750/48750]	Loss: 0.3909	LR: 0.004000
Epoch 13 - Average Train Loss: 0.2945, Train Accuracy: 0.8978
Epoch 13 training time consumed: 29.93s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0013, Accuracy: 0.8872, Time consumed:1.02s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_20h_49m_17s/ResNet18-Cifar10-seed5-ret75-13-best.pth
Training Epoch: 14 [256/48750]	Loss: 0.2886	LR: 0.004000
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Training Epoch: 14 [768/48750]	Loss: 0.2763	LR: 0.004000
Training Epoch: 14 [1024/48750]	Loss: 0.3362	LR: 0.004000
Training Epoch: 14 [1280/48750]	Loss: 0.3928	LR: 0.004000
Training Epoch: 14 [1536/48750]	Loss: 0.2889	LR: 0.004000
Training Epoch: 14 [1792/48750]	Loss: 0.2573	LR: 0.004000
Training Epoch: 14 [2048/48750]	Loss: 0.2545	LR: 0.004000
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Training Epoch: 14 [25088/48750]	Loss: 0.2846	LR: 0.004000
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Training Epoch: 14 [32256/48750]	Loss: 0.2718	LR: 0.004000
Training Epoch: 14 [32512/48750]	Loss: 0.3041	LR: 0.004000
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Training Epoch: 14 [43776/48750]	Loss: 0.2737	LR: 0.004000
Training Epoch: 14 [44032/48750]	Loss: 0.2498	LR: 0.004000
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Training Epoch: 14 [45056/48750]	Loss: 0.2650	LR: 0.004000
Training Epoch: 14 [45312/48750]	Loss: 0.2756	LR: 0.004000
Training Epoch: 14 [45568/48750]	Loss: 0.2029	LR: 0.004000
Training Epoch: 14 [45824/48750]	Loss: 0.2905	LR: 0.004000
Training Epoch: 14 [46080/48750]	Loss: 0.3620	LR: 0.004000
Training Epoch: 14 [46336/48750]	Loss: 0.2783	LR: 0.004000
Training Epoch: 14 [46592/48750]	Loss: 0.2622	LR: 0.004000
Training Epoch: 14 [46848/48750]	Loss: 0.2533	LR: 0.004000
Training Epoch: 14 [47104/48750]	Loss: 0.2347	LR: 0.004000
Training Epoch: 14 [47360/48750]	Loss: 0.2805	LR: 0.004000
Training Epoch: 14 [47616/48750]	Loss: 0.3457	LR: 0.004000
Training Epoch: 14 [47872/48750]	Loss: 0.3120	LR: 0.004000
Training Epoch: 14 [48128/48750]	Loss: 0.2346	LR: 0.004000
Training Epoch: 14 [48384/48750]	Loss: 0.2295	LR: 0.004000
Training Epoch: 14 [48640/48750]	Loss: 0.2161	LR: 0.004000
Training Epoch: 14 [48750/48750]	Loss: 0.3112	LR: 0.004000
Epoch 14 - Average Train Loss: 0.2856, Train Accuracy: 0.9005
Epoch 14 training time consumed: 30.23s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0013, Accuracy: 0.8886, Time consumed:1.00s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_20h_49m_17s/ResNet18-Cifar10-seed5-ret75-14-best.pth
Training Epoch: 15 [256/48750]	Loss: 0.2892	LR: 0.004000
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Training Epoch: 15 [46080/48750]	Loss: 0.2990	LR: 0.004000
Training Epoch: 15 [46336/48750]	Loss: 0.3148	LR: 0.004000
Training Epoch: 15 [46592/48750]	Loss: 0.2847	LR: 0.004000
Training Epoch: 15 [46848/48750]	Loss: 0.2551	LR: 0.004000
Training Epoch: 15 [47104/48750]	Loss: 0.2834	LR: 0.004000
Training Epoch: 15 [47360/48750]	Loss: 0.3012	LR: 0.004000
Training Epoch: 15 [47616/48750]	Loss: 0.2196	LR: 0.004000
Training Epoch: 15 [47872/48750]	Loss: 0.3003	LR: 0.004000
Training Epoch: 15 [48128/48750]	Loss: 0.2537	LR: 0.004000
Training Epoch: 15 [48384/48750]	Loss: 0.2920	LR: 0.004000
Training Epoch: 15 [48640/48750]	Loss: 0.3870	LR: 0.004000
Training Epoch: 15 [48750/48750]	Loss: 0.3238	LR: 0.004000
Epoch 15 - Average Train Loss: 0.2825, Train Accuracy: 0.9019
Epoch 15 training time consumed: 29.86s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0013, Accuracy: 0.8902, Time consumed:1.07s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_20h_49m_17s/ResNet18-Cifar10-seed5-ret75-15-best.pth
Training Epoch: 16 [256/48750]	Loss: 0.2942	LR: 0.000800
Training Epoch: 16 [512/48750]	Loss: 0.2862	LR: 0.000800
Training Epoch: 16 [768/48750]	Loss: 0.2973	LR: 0.000800
Training Epoch: 16 [1024/48750]	Loss: 0.3194	LR: 0.000800
Training Epoch: 16 [1280/48750]	Loss: 0.3620	LR: 0.000800
Training Epoch: 16 [1536/48750]	Loss: 0.2903	LR: 0.000800
Training Epoch: 16 [1792/48750]	Loss: 0.3553	LR: 0.000800
Training Epoch: 16 [2048/48750]	Loss: 0.2560	LR: 0.000800
Training Epoch: 16 [2304/48750]	Loss: 0.2161	LR: 0.000800
Training Epoch: 16 [2560/48750]	Loss: 0.2324	LR: 0.000800
Training Epoch: 16 [2816/48750]	Loss: 0.2611	LR: 0.000800
Training Epoch: 16 [3072/48750]	Loss: 0.2951	LR: 0.000800
Training Epoch: 16 [3328/48750]	Loss: 0.2664	LR: 0.000800
Training Epoch: 16 [3584/48750]	Loss: 0.2939	LR: 0.000800
Training Epoch: 16 [3840/48750]	Loss: 0.2100	LR: 0.000800
Training Epoch: 16 [4096/48750]	Loss: 0.2406	LR: 0.000800
Training Epoch: 16 [4352/48750]	Loss: 0.2858	LR: 0.000800
Training Epoch: 16 [4608/48750]	Loss: 0.3256	LR: 0.000800
Training Epoch: 16 [4864/48750]	Loss: 0.2330	LR: 0.000800
Training Epoch: 16 [5120/48750]	Loss: 0.2488	LR: 0.000800
Training Epoch: 16 [5376/48750]	Loss: 0.2862	LR: 0.000800
Training Epoch: 16 [5632/48750]	Loss: 0.2749	LR: 0.000800
Training Epoch: 16 [5888/48750]	Loss: 0.2431	LR: 0.000800
Training Epoch: 16 [6144/48750]	Loss: 0.2929	LR: 0.000800
Training Epoch: 16 [6400/48750]	Loss: 0.2928	LR: 0.000800
Training Epoch: 16 [6656/48750]	Loss: 0.3258	LR: 0.000800
Training Epoch: 16 [6912/48750]	Loss: 0.2801	LR: 0.000800
Training Epoch: 16 [7168/48750]	Loss: 0.2804	LR: 0.000800
Training Epoch: 16 [7424/48750]	Loss: 0.3242	LR: 0.000800
Training Epoch: 16 [7680/48750]	Loss: 0.3197	LR: 0.000800
Training Epoch: 16 [7936/48750]	Loss: 0.2947	LR: 0.000800
Training Epoch: 16 [8192/48750]	Loss: 0.2640	LR: 0.000800
Training Epoch: 16 [8448/48750]	Loss: 0.3153	LR: 0.000800
Training Epoch: 16 [8704/48750]	Loss: 0.2374	LR: 0.000800
Training Epoch: 16 [8960/48750]	Loss: 0.2474	LR: 0.000800
Training Epoch: 16 [9216/48750]	Loss: 0.2547	LR: 0.000800
Training Epoch: 16 [9472/48750]	Loss: 0.2637	LR: 0.000800
Training Epoch: 16 [9728/48750]	Loss: 0.3104	LR: 0.000800
Training Epoch: 16 [9984/48750]	Loss: 0.2940	LR: 0.000800
Training Epoch: 16 [10240/48750]	Loss: 0.3193	LR: 0.000800
Training Epoch: 16 [10496/48750]	Loss: 0.2041	LR: 0.000800
Training Epoch: 16 [10752/48750]	Loss: 0.2829	LR: 0.000800
Training Epoch: 16 [11008/48750]	Loss: 0.2220	LR: 0.000800
Training Epoch: 16 [11264/48750]	Loss: 0.2181	LR: 0.000800
Training Epoch: 16 [11520/48750]	Loss: 0.2452	LR: 0.000800
Training Epoch: 16 [11776/48750]	Loss: 0.2191	LR: 0.000800
Training Epoch: 16 [12032/48750]	Loss: 0.2000	LR: 0.000800
Training Epoch: 16 [12288/48750]	Loss: 0.2944	LR: 0.000800
Training Epoch: 16 [12544/48750]	Loss: 0.2701	LR: 0.000800
Training Epoch: 16 [12800/48750]	Loss: 0.2162	LR: 0.000800
Training Epoch: 16 [13056/48750]	Loss: 0.2418	LR: 0.000800
Training Epoch: 16 [13312/48750]	Loss: 0.3465	LR: 0.000800
Training Epoch: 16 [13568/48750]	Loss: 0.3322	LR: 0.000800
Training Epoch: 16 [13824/48750]	Loss: 0.2992	LR: 0.000800
Training Epoch: 16 [14080/48750]	Loss: 0.2326	LR: 0.000800
Training Epoch: 16 [14336/48750]	Loss: 0.2861	LR: 0.000800
Training Epoch: 16 [14592/48750]	Loss: 0.3382	LR: 0.000800
Training Epoch: 16 [14848/48750]	Loss: 0.2419	LR: 0.000800
Training Epoch: 16 [15104/48750]	Loss: 0.3484	LR: 0.000800
Training Epoch: 16 [15360/48750]	Loss: 0.3430	LR: 0.000800
Training Epoch: 16 [15616/48750]	Loss: 0.2611	LR: 0.000800
Training Epoch: 16 [15872/48750]	Loss: 0.2700	LR: 0.000800
Training Epoch: 16 [16128/48750]	Loss: 0.2518	LR: 0.000800
Training Epoch: 16 [16384/48750]	Loss: 0.3158	LR: 0.000800
Training Epoch: 16 [16640/48750]	Loss: 0.2694	LR: 0.000800
Training Epoch: 16 [16896/48750]	Loss: 0.2415	LR: 0.000800
Training Epoch: 16 [17152/48750]	Loss: 0.2720	LR: 0.000800
Training Epoch: 16 [17408/48750]	Loss: 0.2393	LR: 0.000800
Training Epoch: 16 [17664/48750]	Loss: 0.2753	LR: 0.000800
Training Epoch: 16 [17920/48750]	Loss: 0.2526	LR: 0.000800
Training Epoch: 16 [18176/48750]	Loss: 0.3576	LR: 0.000800
Training Epoch: 16 [18432/48750]	Loss: 0.3555	LR: 0.000800
Training Epoch: 16 [18688/48750]	Loss: 0.2111	LR: 0.000800
Training Epoch: 16 [18944/48750]	Loss: 0.3023	LR: 0.000800
Training Epoch: 16 [19200/48750]	Loss: 0.2677	LR: 0.000800
Training Epoch: 16 [19456/48750]	Loss: 0.2529	LR: 0.000800
Training Epoch: 16 [19712/48750]	Loss: 0.3258	LR: 0.000800
Training Epoch: 16 [19968/48750]	Loss: 0.2810	LR: 0.000800
Training Epoch: 16 [20224/48750]	Loss: 0.2350	LR: 0.000800
Training Epoch: 16 [20480/48750]	Loss: 0.2417	LR: 0.000800
Training Epoch: 16 [20736/48750]	Loss: 0.2720	LR: 0.000800
Training Epoch: 16 [20992/48750]	Loss: 0.2060	LR: 0.000800
Training Epoch: 16 [21248/48750]	Loss: 0.2967	LR: 0.000800
Training Epoch: 16 [21504/48750]	Loss: 0.3438	LR: 0.000800
Training Epoch: 16 [21760/48750]	Loss: 0.2330	LR: 0.000800
Training Epoch: 16 [22016/48750]	Loss: 0.3057	LR: 0.000800
Training Epoch: 16 [22272/48750]	Loss: 0.2588	LR: 0.000800
Training Epoch: 16 [22528/48750]	Loss: 0.2495	LR: 0.000800
Training Epoch: 16 [22784/48750]	Loss: 0.2818	LR: 0.000800
Training Epoch: 16 [23040/48750]	Loss: 0.2330	LR: 0.000800
Training Epoch: 16 [23296/48750]	Loss: 0.2780	LR: 0.000800
Training Epoch: 16 [23552/48750]	Loss: 0.2437	LR: 0.000800
Training Epoch: 16 [23808/48750]	Loss: 0.3157	LR: 0.000800
Training Epoch: 16 [24064/48750]	Loss: 0.2713	LR: 0.000800
Training Epoch: 16 [24320/48750]	Loss: 0.2361	LR: 0.000800
Training Epoch: 16 [24576/48750]	Loss: 0.2756	LR: 0.000800
Training Epoch: 16 [24832/48750]	Loss: 0.2298	LR: 0.000800
Training Epoch: 16 [25088/48750]	Loss: 0.2670	LR: 0.000800
Training Epoch: 16 [25344/48750]	Loss: 0.2662	LR: 0.000800
Training Epoch: 16 [25600/48750]	Loss: 0.2496	LR: 0.000800
Training Epoch: 16 [25856/48750]	Loss: 0.3462	LR: 0.000800
Training Epoch: 16 [26112/48750]	Loss: 0.2364	LR: 0.000800
Training Epoch: 16 [26368/48750]	Loss: 0.2544	LR: 0.000800
Training Epoch: 16 [26624/48750]	Loss: 0.3867	LR: 0.000800
Training Epoch: 16 [26880/48750]	Loss: 0.2496	LR: 0.000800
Training Epoch: 16 [27136/48750]	Loss: 0.2004	LR: 0.000800
Training Epoch: 16 [27392/48750]	Loss: 0.2470	LR: 0.000800
Training Epoch: 16 [27648/48750]	Loss: 0.3770	LR: 0.000800
Training Epoch: 16 [27904/48750]	Loss: 0.2672	LR: 0.000800
Training Epoch: 16 [28160/48750]	Loss: 0.1741	LR: 0.000800
Training Epoch: 16 [28416/48750]	Loss: 0.3135	LR: 0.000800
Training Epoch: 16 [28672/48750]	Loss: 0.2154	LR: 0.000800
Training Epoch: 16 [28928/48750]	Loss: 0.2762	LR: 0.000800
Training Epoch: 16 [29184/48750]	Loss: 0.2698	LR: 0.000800
Training Epoch: 16 [29440/48750]	Loss: 0.2652	LR: 0.000800
Training Epoch: 16 [29696/48750]	Loss: 0.3039	LR: 0.000800
Training Epoch: 16 [29952/48750]	Loss: 0.2781	LR: 0.000800
Training Epoch: 16 [30208/48750]	Loss: 0.2956	LR: 0.000800
Training Epoch: 16 [30464/48750]	Loss: 0.2566	LR: 0.000800
Training Epoch: 16 [30720/48750]	Loss: 0.2476	LR: 0.000800
Training Epoch: 16 [30976/48750]	Loss: 0.3196	LR: 0.000800
Training Epoch: 16 [31232/48750]	Loss: 0.2296	LR: 0.000800
Training Epoch: 16 [31488/48750]	Loss: 0.2250	LR: 0.000800
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Training Epoch: 16 [32256/48750]	Loss: 0.2364	LR: 0.000800
Training Epoch: 16 [32512/48750]	Loss: 0.2482	LR: 0.000800
Training Epoch: 16 [32768/48750]	Loss: 0.2505	LR: 0.000800
Training Epoch: 16 [33024/48750]	Loss: 0.2393	LR: 0.000800
Training Epoch: 16 [33280/48750]	Loss: 0.2310	LR: 0.000800
Training Epoch: 16 [33536/48750]	Loss: 0.2342	LR: 0.000800
Training Epoch: 16 [33792/48750]	Loss: 0.2797	LR: 0.000800
Training Epoch: 16 [34048/48750]	Loss: 0.2347	LR: 0.000800
Training Epoch: 16 [34304/48750]	Loss: 0.2814	LR: 0.000800
Training Epoch: 16 [34560/48750]	Loss: 0.2542	LR: 0.000800
Training Epoch: 16 [34816/48750]	Loss: 0.2050	LR: 0.000800
Training Epoch: 16 [35072/48750]	Loss: 0.2555	LR: 0.000800
Training Epoch: 16 [35328/48750]	Loss: 0.3385	LR: 0.000800
Training Epoch: 16 [35584/48750]	Loss: 0.3330	LR: 0.000800
Training Epoch: 16 [35840/48750]	Loss: 0.3033	LR: 0.000800
Training Epoch: 16 [36096/48750]	Loss: 0.2204	LR: 0.000800
Training Epoch: 16 [36352/48750]	Loss: 0.3382	LR: 0.000800
Training Epoch: 16 [36608/48750]	Loss: 0.2043	LR: 0.000800
Training Epoch: 16 [36864/48750]	Loss: 0.3128	LR: 0.000800
Training Epoch: 16 [37120/48750]	Loss: 0.2297	LR: 0.000800
Training Epoch: 16 [37376/48750]	Loss: 0.3207	LR: 0.000800
Training Epoch: 16 [37632/48750]	Loss: 0.2768	LR: 0.000800
Training Epoch: 16 [37888/48750]	Loss: 0.3370	LR: 0.000800
Training Epoch: 16 [38144/48750]	Loss: 0.2742	LR: 0.000800
Training Epoch: 16 [38400/48750]	Loss: 0.2212	LR: 0.000800
Training Epoch: 16 [38656/48750]	Loss: 0.2385	LR: 0.000800
Training Epoch: 16 [38912/48750]	Loss: 0.1912	LR: 0.000800
Training Epoch: 16 [39168/48750]	Loss: 0.2353	LR: 0.000800
Training Epoch: 16 [39424/48750]	Loss: 0.2139	LR: 0.000800
Training Epoch: 16 [39680/48750]	Loss: 0.2344	LR: 0.000800
Training Epoch: 16 [39936/48750]	Loss: 0.2875	LR: 0.000800
Training Epoch: 16 [40192/48750]	Loss: 0.3038	LR: 0.000800
Training Epoch: 16 [40448/48750]	Loss: 0.2738	LR: 0.000800
Training Epoch: 16 [40704/48750]	Loss: 0.2815	LR: 0.000800
Training Epoch: 16 [40960/48750]	Loss: 0.2548	LR: 0.000800
Training Epoch: 16 [41216/48750]	Loss: 0.3040	LR: 0.000800
Training Epoch: 16 [41472/48750]	Loss: 0.2405	LR: 0.000800
Training Epoch: 16 [41728/48750]	Loss: 0.3009	LR: 0.000800
Training Epoch: 16 [41984/48750]	Loss: 0.2531	LR: 0.000800
Training Epoch: 16 [42240/48750]	Loss: 0.2980	LR: 0.000800
Training Epoch: 16 [42496/48750]	Loss: 0.2771	LR: 0.000800
Training Epoch: 16 [42752/48750]	Loss: 0.3755	LR: 0.000800
Training Epoch: 16 [43008/48750]	Loss: 0.2770	LR: 0.000800
Training Epoch: 16 [43264/48750]	Loss: 0.3152	LR: 0.000800
Training Epoch: 16 [43520/48750]	Loss: 0.2496	LR: 0.000800
Training Epoch: 16 [43776/48750]	Loss: 0.2521	LR: 0.000800
Training Epoch: 16 [44032/48750]	Loss: 0.2616	LR: 0.000800
Training Epoch: 16 [44288/48750]	Loss: 0.3647	LR: 0.000800
Training Epoch: 16 [44544/48750]	Loss: 0.2299	LR: 0.000800
Training Epoch: 16 [44800/48750]	Loss: 0.2655	LR: 0.000800
Training Epoch: 16 [45056/48750]	Loss: 0.3137	LR: 0.000800
Training Epoch: 16 [45312/48750]	Loss: 0.2757	LR: 0.000800
Training Epoch: 16 [45568/48750]	Loss: 0.2365	LR: 0.000800
Training Epoch: 16 [45824/48750]	Loss: 0.2053	LR: 0.000800
Training Epoch: 16 [46080/48750]	Loss: 0.2087	LR: 0.000800
Training Epoch: 16 [46336/48750]	Loss: 0.2760	LR: 0.000800
Training Epoch: 16 [46592/48750]	Loss: 0.3039	LR: 0.000800
Training Epoch: 16 [46848/48750]	Loss: 0.2007	LR: 0.000800
Training Epoch: 16 [47104/48750]	Loss: 0.2126	LR: 0.000800
Training Epoch: 16 [47360/48750]	Loss: 0.2606	LR: 0.000800
Training Epoch: 16 [47616/48750]	Loss: 0.2506	LR: 0.000800
Training Epoch: 16 [47872/48750]	Loss: 0.1753	LR: 0.000800
Training Epoch: 16 [48128/48750]	Loss: 0.2743	LR: 0.000800
Training Epoch: 16 [48384/48750]	Loss: 0.2074	LR: 0.000800
Training Epoch: 16 [48640/48750]	Loss: 0.3160	LR: 0.000800
Training Epoch: 16 [48750/48750]	Loss: 0.3278	LR: 0.000800
Epoch 16 - Average Train Loss: 0.2708, Train Accuracy: 0.9058
Epoch 16 training time consumed: 30.01s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0013, Accuracy: 0.8925, Time consumed:1.01s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_20h_49m_17s/ResNet18-Cifar10-seed5-ret75-16-best.pth
Training Epoch: 17 [256/48750]	Loss: 0.2551	LR: 0.000800
Training Epoch: 17 [512/48750]	Loss: 0.2351	LR: 0.000800
Training Epoch: 17 [768/48750]	Loss: 0.2626	LR: 0.000800
Training Epoch: 17 [1024/48750]	Loss: 0.2656	LR: 0.000800
Training Epoch: 17 [1280/48750]	Loss: 0.3240	LR: 0.000800
Training Epoch: 17 [1536/48750]	Loss: 0.2755	LR: 0.000800
Training Epoch: 17 [1792/48750]	Loss: 0.2196	LR: 0.000800
Training Epoch: 17 [2048/48750]	Loss: 0.1878	LR: 0.000800
Training Epoch: 17 [2304/48750]	Loss: 0.3281	LR: 0.000800
Training Epoch: 17 [2560/48750]	Loss: 0.2791	LR: 0.000800
Training Epoch: 17 [2816/48750]	Loss: 0.3172	LR: 0.000800
Training Epoch: 17 [3072/48750]	Loss: 0.3718	LR: 0.000800
Training Epoch: 17 [3328/48750]	Loss: 0.2075	LR: 0.000800
Training Epoch: 17 [3584/48750]	Loss: 0.2237	LR: 0.000800
Training Epoch: 17 [3840/48750]	Loss: 0.2945	LR: 0.000800
Training Epoch: 17 [4096/48750]	Loss: 0.2149	LR: 0.000800
Training Epoch: 17 [4352/48750]	Loss: 0.3564	LR: 0.000800
Training Epoch: 17 [4608/48750]	Loss: 0.2544	LR: 0.000800
Training Epoch: 17 [4864/48750]	Loss: 0.2628	LR: 0.000800
Training Epoch: 17 [5120/48750]	Loss: 0.2317	LR: 0.000800
Training Epoch: 17 [5376/48750]	Loss: 0.2580	LR: 0.000800
Training Epoch: 17 [5632/48750]	Loss: 0.3228	LR: 0.000800
Training Epoch: 17 [5888/48750]	Loss: 0.2474	LR: 0.000800
Training Epoch: 17 [6144/48750]	Loss: 0.2557	LR: 0.000800
Training Epoch: 17 [6400/48750]	Loss: 0.2980	LR: 0.000800
Training Epoch: 17 [6656/48750]	Loss: 0.2840	LR: 0.000800
Training Epoch: 17 [6912/48750]	Loss: 0.2733	LR: 0.000800
Training Epoch: 17 [7168/48750]	Loss: 0.3573	LR: 0.000800
Training Epoch: 17 [7424/48750]	Loss: 0.2743	LR: 0.000800
Training Epoch: 17 [7680/48750]	Loss: 0.2301	LR: 0.000800
Training Epoch: 17 [7936/48750]	Loss: 0.2397	LR: 0.000800
Training Epoch: 17 [8192/48750]	Loss: 0.2888	LR: 0.000800
Training Epoch: 17 [8448/48750]	Loss: 0.2718	LR: 0.000800
Training Epoch: 17 [8704/48750]	Loss: 0.2631	LR: 0.000800
Training Epoch: 17 [8960/48750]	Loss: 0.2283	LR: 0.000800
Training Epoch: 17 [9216/48750]	Loss: 0.3131	LR: 0.000800
Training Epoch: 17 [9472/48750]	Loss: 0.3304	LR: 0.000800
Training Epoch: 17 [9728/48750]	Loss: 0.2557	LR: 0.000800
Training Epoch: 17 [9984/48750]	Loss: 0.2950	LR: 0.000800
Training Epoch: 17 [10240/48750]	Loss: 0.2246	LR: 0.000800
Training Epoch: 17 [10496/48750]	Loss: 0.2393	LR: 0.000800
Training Epoch: 17 [10752/48750]	Loss: 0.2711	LR: 0.000800
Training Epoch: 17 [11008/48750]	Loss: 0.1803	LR: 0.000800
Training Epoch: 17 [11264/48750]	Loss: 0.3581	LR: 0.000800
Training Epoch: 17 [11520/48750]	Loss: 0.2146	LR: 0.000800
Training Epoch: 17 [11776/48750]	Loss: 0.3111	LR: 0.000800
Training Epoch: 17 [12032/48750]	Loss: 0.2341	LR: 0.000800
Training Epoch: 17 [12288/48750]	Loss: 0.2645	LR: 0.000800
Training Epoch: 17 [12544/48750]	Loss: 0.2491	LR: 0.000800
Training Epoch: 17 [12800/48750]	Loss: 0.2918	LR: 0.000800
Training Epoch: 17 [13056/48750]	Loss: 0.3117	LR: 0.000800
Training Epoch: 17 [13312/48750]	Loss: 0.2789	LR: 0.000800
Training Epoch: 17 [13568/48750]	Loss: 0.2302	LR: 0.000800
Training Epoch: 17 [13824/48750]	Loss: 0.3014	LR: 0.000800
Training Epoch: 17 [14080/48750]	Loss: 0.2752	LR: 0.000800
Training Epoch: 17 [14336/48750]	Loss: 0.2414	LR: 0.000800
Training Epoch: 17 [14592/48750]	Loss: 0.1924	LR: 0.000800
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Training Epoch: 17 [15104/48750]	Loss: 0.2219	LR: 0.000800
Training Epoch: 17 [15360/48750]	Loss: 0.2748	LR: 0.000800
Training Epoch: 17 [15616/48750]	Loss: 0.2830	LR: 0.000800
Training Epoch: 17 [15872/48750]	Loss: 0.1773	LR: 0.000800
Training Epoch: 17 [16128/48750]	Loss: 0.2740	LR: 0.000800
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Training Epoch: 17 [16640/48750]	Loss: 0.2805	LR: 0.000800
Training Epoch: 17 [16896/48750]	Loss: 0.2383	LR: 0.000800
Training Epoch: 17 [17152/48750]	Loss: 0.2583	LR: 0.000800
Training Epoch: 17 [17408/48750]	Loss: 0.2106	LR: 0.000800
Training Epoch: 17 [17664/48750]	Loss: 0.2985	LR: 0.000800
Training Epoch: 17 [17920/48750]	Loss: 0.3040	LR: 0.000800
Training Epoch: 17 [18176/48750]	Loss: 0.2980	LR: 0.000800
Training Epoch: 17 [18432/48750]	Loss: 0.2387	LR: 0.000800
Training Epoch: 17 [18688/48750]	Loss: 0.2393	LR: 0.000800
Training Epoch: 17 [18944/48750]	Loss: 0.3346	LR: 0.000800
Training Epoch: 17 [19200/48750]	Loss: 0.2607	LR: 0.000800
Training Epoch: 17 [19456/48750]	Loss: 0.2187	LR: 0.000800
Training Epoch: 17 [19712/48750]	Loss: 0.1932	LR: 0.000800
Training Epoch: 17 [19968/48750]	Loss: 0.3315	LR: 0.000800
Training Epoch: 17 [20224/48750]	Loss: 0.2117	LR: 0.000800
Training Epoch: 17 [20480/48750]	Loss: 0.2400	LR: 0.000800
Training Epoch: 17 [20736/48750]	Loss: 0.2362	LR: 0.000800
Training Epoch: 17 [20992/48750]	Loss: 0.3152	LR: 0.000800
Training Epoch: 17 [21248/48750]	Loss: 0.3886	LR: 0.000800
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Training Epoch: 17 [21760/48750]	Loss: 0.2450	LR: 0.000800
Training Epoch: 17 [22016/48750]	Loss: 0.2771	LR: 0.000800
Training Epoch: 17 [22272/48750]	Loss: 0.3094	LR: 0.000800
Training Epoch: 17 [22528/48750]	Loss: 0.1703	LR: 0.000800
Training Epoch: 17 [22784/48750]	Loss: 0.2764	LR: 0.000800
Training Epoch: 17 [23040/48750]	Loss: 0.2933	LR: 0.000800
Training Epoch: 17 [23296/48750]	Loss: 0.3104	LR: 0.000800
Training Epoch: 17 [23552/48750]	Loss: 0.2738	LR: 0.000800
Training Epoch: 17 [23808/48750]	Loss: 0.2877	LR: 0.000800
Training Epoch: 17 [24064/48750]	Loss: 0.2690	LR: 0.000800
Training Epoch: 17 [24320/48750]	Loss: 0.2359	LR: 0.000800
Training Epoch: 17 [24576/48750]	Loss: 0.3465	LR: 0.000800
Training Epoch: 17 [24832/48750]	Loss: 0.2530	LR: 0.000800
Training Epoch: 17 [25088/48750]	Loss: 0.2143	LR: 0.000800
Training Epoch: 17 [25344/48750]	Loss: 0.2123	LR: 0.000800
Training Epoch: 17 [25600/48750]	Loss: 0.2277	LR: 0.000800
Training Epoch: 17 [25856/48750]	Loss: 0.2508	LR: 0.000800
Training Epoch: 17 [26112/48750]	Loss: 0.2665	LR: 0.000800
Training Epoch: 17 [26368/48750]	Loss: 0.2790	LR: 0.000800
Training Epoch: 17 [26624/48750]	Loss: 0.2749	LR: 0.000800
Training Epoch: 17 [26880/48750]	Loss: 0.3684	LR: 0.000800
Training Epoch: 17 [27136/48750]	Loss: 0.2473	LR: 0.000800
Training Epoch: 17 [27392/48750]	Loss: 0.2721	LR: 0.000800
Training Epoch: 17 [27648/48750]	Loss: 0.2945	LR: 0.000800
Training Epoch: 17 [27904/48750]	Loss: 0.2813	LR: 0.000800
Training Epoch: 17 [28160/48750]	Loss: 0.2255	LR: 0.000800
Training Epoch: 17 [28416/48750]	Loss: 0.2628	LR: 0.000800
Training Epoch: 17 [28672/48750]	Loss: 0.3111	LR: 0.000800
Training Epoch: 17 [28928/48750]	Loss: 0.3113	LR: 0.000800
Training Epoch: 17 [29184/48750]	Loss: 0.2005	LR: 0.000800
Training Epoch: 17 [29440/48750]	Loss: 0.2277	LR: 0.000800
Training Epoch: 17 [29696/48750]	Loss: 0.2609	LR: 0.000800
Training Epoch: 17 [29952/48750]	Loss: 0.2841	LR: 0.000800
Training Epoch: 17 [30208/48750]	Loss: 0.2614	LR: 0.000800
Training Epoch: 17 [30464/48750]	Loss: 0.2568	LR: 0.000800
Training Epoch: 17 [30720/48750]	Loss: 0.3190	LR: 0.000800
Training Epoch: 17 [30976/48750]	Loss: 0.2640	LR: 0.000800
Training Epoch: 17 [31232/48750]	Loss: 0.2875	LR: 0.000800
Training Epoch: 17 [31488/48750]	Loss: 0.2834	LR: 0.000800
Training Epoch: 17 [31744/48750]	Loss: 0.1948	LR: 0.000800
Training Epoch: 17 [32000/48750]	Loss: 0.2734	LR: 0.000800
Training Epoch: 17 [32256/48750]	Loss: 0.2989	LR: 0.000800
Training Epoch: 17 [32512/48750]	Loss: 0.3115	LR: 0.000800
Training Epoch: 17 [32768/48750]	Loss: 0.2991	LR: 0.000800
Training Epoch: 17 [33024/48750]	Loss: 0.2811	LR: 0.000800
Training Epoch: 17 [33280/48750]	Loss: 0.2462	LR: 0.000800
Training Epoch: 17 [33536/48750]	Loss: 0.2668	LR: 0.000800
Training Epoch: 17 [33792/48750]	Loss: 0.2433	LR: 0.000800
Training Epoch: 17 [34048/48750]	Loss: 0.2339	LR: 0.000800
Training Epoch: 17 [34304/48750]	Loss: 0.2990	LR: 0.000800
Training Epoch: 17 [34560/48750]	Loss: 0.3136	LR: 0.000800
Training Epoch: 17 [34816/48750]	Loss: 0.2288	LR: 0.000800
Training Epoch: 17 [35072/48750]	Loss: 0.2153	LR: 0.000800
Training Epoch: 17 [35328/48750]	Loss: 0.2830	LR: 0.000800
Training Epoch: 17 [35584/48750]	Loss: 0.2677	LR: 0.000800
Training Epoch: 17 [35840/48750]	Loss: 0.2540	LR: 0.000800
Training Epoch: 17 [36096/48750]	Loss: 0.2449	LR: 0.000800
Training Epoch: 17 [36352/48750]	Loss: 0.2253	LR: 0.000800
Training Epoch: 17 [36608/48750]	Loss: 0.2729	LR: 0.000800
Training Epoch: 17 [36864/48750]	Loss: 0.2539	LR: 0.000800
Training Epoch: 17 [37120/48750]	Loss: 0.2177	LR: 0.000800
Training Epoch: 17 [37376/48750]	Loss: 0.2718	LR: 0.000800
Training Epoch: 17 [37632/48750]	Loss: 0.2118	LR: 0.000800
Training Epoch: 17 [37888/48750]	Loss: 0.2839	LR: 0.000800
Training Epoch: 17 [38144/48750]	Loss: 0.2890	LR: 0.000800
Training Epoch: 17 [38400/48750]	Loss: 0.2775	LR: 0.000800
Training Epoch: 17 [38656/48750]	Loss: 0.3100	LR: 0.000800
Training Epoch: 17 [38912/48750]	Loss: 0.2903	LR: 0.000800
Training Epoch: 17 [39168/48750]	Loss: 0.2751	LR: 0.000800
Training Epoch: 17 [39424/48750]	Loss: 0.2950	LR: 0.000800
Training Epoch: 17 [39680/48750]	Loss: 0.2043	LR: 0.000800
Training Epoch: 17 [39936/48750]	Loss: 0.2634	LR: 0.000800
Training Epoch: 17 [40192/48750]	Loss: 0.3043	LR: 0.000800
Training Epoch: 17 [40448/48750]	Loss: 0.2088	LR: 0.000800
Training Epoch: 17 [40704/48750]	Loss: 0.2395	LR: 0.000800
Training Epoch: 17 [40960/48750]	Loss: 0.2454	LR: 0.000800
Training Epoch: 17 [41216/48750]	Loss: 0.2603	LR: 0.000800
Training Epoch: 17 [41472/48750]	Loss: 0.2437	LR: 0.000800
Training Epoch: 17 [41728/48750]	Loss: 0.3004	LR: 0.000800
Training Epoch: 17 [41984/48750]	Loss: 0.2542	LR: 0.000800
Training Epoch: 17 [42240/48750]	Loss: 0.2323	LR: 0.000800
Training Epoch: 17 [42496/48750]	Loss: 0.2319	LR: 0.000800
Training Epoch: 17 [42752/48750]	Loss: 0.2328	LR: 0.000800
Training Epoch: 17 [43008/48750]	Loss: 0.2734	LR: 0.000800
Training Epoch: 17 [43264/48750]	Loss: 0.2697	LR: 0.000800
Training Epoch: 17 [43520/48750]	Loss: 0.2466	LR: 0.000800
Training Epoch: 17 [43776/48750]	Loss: 0.2551	LR: 0.000800
Training Epoch: 17 [44032/48750]	Loss: 0.2642	LR: 0.000800
Training Epoch: 17 [44288/48750]	Loss: 0.2769	LR: 0.000800
Training Epoch: 17 [44544/48750]	Loss: 0.2648	LR: 0.000800
Training Epoch: 17 [44800/48750]	Loss: 0.2415	LR: 0.000800
Training Epoch: 17 [45056/48750]	Loss: 0.2309	LR: 0.000800
Training Epoch: 17 [45312/48750]	Loss: 0.2463	LR: 0.000800
Training Epoch: 17 [45568/48750]	Loss: 0.2373	LR: 0.000800
Training Epoch: 17 [45824/48750]	Loss: 0.2888	LR: 0.000800
Training Epoch: 17 [46080/48750]	Loss: 0.1917	LR: 0.000800
Training Epoch: 17 [46336/48750]	Loss: 0.2515	LR: 0.000800
Training Epoch: 17 [46592/48750]	Loss: 0.2102	LR: 0.000800
Training Epoch: 17 [46848/48750]	Loss: 0.2601	LR: 0.000800
Training Epoch: 17 [47104/48750]	Loss: 0.2444	LR: 0.000800
Training Epoch: 17 [47360/48750]	Loss: 0.2196	LR: 0.000800
Training Epoch: 17 [47616/48750]	Loss: 0.2695	LR: 0.000800
Training Epoch: 17 [47872/48750]	Loss: 0.2228	LR: 0.000800
Training Epoch: 17 [48128/48750]	Loss: 0.2511	LR: 0.000800
Training Epoch: 17 [48384/48750]	Loss: 0.2256	LR: 0.000800
Training Epoch: 17 [48640/48750]	Loss: 0.2356	LR: 0.000800
Training Epoch: 17 [48750/48750]	Loss: 0.2234	LR: 0.000800
Epoch 17 - Average Train Loss: 0.2642, Train Accuracy: 0.9069
Epoch 17 training time consumed: 29.98s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0013, Accuracy: 0.8921, Time consumed:0.99s
Training Epoch: 18 [256/48750]	Loss: 0.2182	LR: 0.000800
Training Epoch: 18 [512/48750]	Loss: 0.1871	LR: 0.000800
Training Epoch: 18 [768/48750]	Loss: 0.2722	LR: 0.000800
Training Epoch: 18 [1024/48750]	Loss: 0.2687	LR: 0.000800
Training Epoch: 18 [1280/48750]	Loss: 0.2864	LR: 0.000800
Training Epoch: 18 [1536/48750]	Loss: 0.2802	LR: 0.000800
Training Epoch: 18 [1792/48750]	Loss: 0.3752	LR: 0.000800
Training Epoch: 18 [2048/48750]	Loss: 0.2236	LR: 0.000800
Training Epoch: 18 [2304/48750]	Loss: 0.2735	LR: 0.000800
Training Epoch: 18 [2560/48750]	Loss: 0.1983	LR: 0.000800
Training Epoch: 18 [2816/48750]	Loss: 0.2329	LR: 0.000800
Training Epoch: 18 [3072/48750]	Loss: 0.2273	LR: 0.000800
Training Epoch: 18 [3328/48750]	Loss: 0.1894	LR: 0.000800
Training Epoch: 18 [3584/48750]	Loss: 0.2913	LR: 0.000800
Training Epoch: 18 [3840/48750]	Loss: 0.2379	LR: 0.000800
Training Epoch: 18 [4096/48750]	Loss: 0.3296	LR: 0.000800
Training Epoch: 18 [4352/48750]	Loss: 0.2391	LR: 0.000800
Training Epoch: 18 [4608/48750]	Loss: 0.1520	LR: 0.000800
Training Epoch: 18 [4864/48750]	Loss: 0.2403	LR: 0.000800
Training Epoch: 18 [5120/48750]	Loss: 0.3021	LR: 0.000800
Training Epoch: 18 [5376/48750]	Loss: 0.2987	LR: 0.000800
Training Epoch: 18 [5632/48750]	Loss: 0.2282	LR: 0.000800
Training Epoch: 18 [5888/48750]	Loss: 0.2772	LR: 0.000800
Training Epoch: 18 [6144/48750]	Loss: 0.3301	LR: 0.000800
Training Epoch: 18 [6400/48750]	Loss: 0.2917	LR: 0.000800
Training Epoch: 18 [6656/48750]	Loss: 0.2366	LR: 0.000800
Training Epoch: 18 [6912/48750]	Loss: 0.2761	LR: 0.000800
Training Epoch: 18 [7168/48750]	Loss: 0.1968	LR: 0.000800
Training Epoch: 18 [7424/48750]	Loss: 0.2450	LR: 0.000800
Training Epoch: 18 [7680/48750]	Loss: 0.2284	LR: 0.000800
Training Epoch: 18 [7936/48750]	Loss: 0.2916	LR: 0.000800
Training Epoch: 18 [8192/48750]	Loss: 0.2336	LR: 0.000800
Training Epoch: 18 [8448/48750]	Loss: 0.2643	LR: 0.000800
Training Epoch: 18 [8704/48750]	Loss: 0.3163	LR: 0.000800
Training Epoch: 18 [8960/48750]	Loss: 0.3111	LR: 0.000800
Training Epoch: 18 [9216/48750]	Loss: 0.1684	LR: 0.000800
Training Epoch: 18 [9472/48750]	Loss: 0.2553	LR: 0.000800
Training Epoch: 18 [9728/48750]	Loss: 0.2453	LR: 0.000800
Training Epoch: 18 [9984/48750]	Loss: 0.2769	LR: 0.000800
Training Epoch: 18 [10240/48750]	Loss: 0.2752	LR: 0.000800
Training Epoch: 18 [10496/48750]	Loss: 0.2771	LR: 0.000800
Training Epoch: 18 [10752/48750]	Loss: 0.2950	LR: 0.000800
Training Epoch: 18 [11008/48750]	Loss: 0.2598	LR: 0.000800
Training Epoch: 18 [11264/48750]	Loss: 0.2848	LR: 0.000800
Training Epoch: 18 [11520/48750]	Loss: 0.2765	LR: 0.000800
Training Epoch: 18 [11776/48750]	Loss: 0.2747	LR: 0.000800
Training Epoch: 18 [12032/48750]	Loss: 0.2679	LR: 0.000800
Training Epoch: 18 [12288/48750]	Loss: 0.2877	LR: 0.000800
Training Epoch: 18 [12544/48750]	Loss: 0.2388	LR: 0.000800
Training Epoch: 18 [12800/48750]	Loss: 0.3056	LR: 0.000800
Training Epoch: 18 [13056/48750]	Loss: 0.3656	LR: 0.000800
Training Epoch: 18 [13312/48750]	Loss: 0.3063	LR: 0.000800
Training Epoch: 18 [13568/48750]	Loss: 0.2379	LR: 0.000800
Training Epoch: 18 [13824/48750]	Loss: 0.2772	LR: 0.000800
Training Epoch: 18 [14080/48750]	Loss: 0.2495	LR: 0.000800
Training Epoch: 18 [14336/48750]	Loss: 0.2256	LR: 0.000800
Training Epoch: 18 [14592/48750]	Loss: 0.3033	LR: 0.000800
Training Epoch: 18 [14848/48750]	Loss: 0.1928	LR: 0.000800
Training Epoch: 18 [15104/48750]	Loss: 0.2442	LR: 0.000800
Training Epoch: 18 [15360/48750]	Loss: 0.3278	LR: 0.000800
Training Epoch: 18 [15616/48750]	Loss: 0.2895	LR: 0.000800
Training Epoch: 18 [15872/48750]	Loss: 0.2517	LR: 0.000800
Training Epoch: 18 [16128/48750]	Loss: 0.2789	LR: 0.000800
Training Epoch: 18 [16384/48750]	Loss: 0.3064	LR: 0.000800
Training Epoch: 18 [16640/48750]	Loss: 0.2636	LR: 0.000800
Training Epoch: 18 [16896/48750]	Loss: 0.2341	LR: 0.000800
Training Epoch: 18 [17152/48750]	Loss: 0.2853	LR: 0.000800
Training Epoch: 18 [17408/48750]	Loss: 0.2702	LR: 0.000800
Training Epoch: 18 [17664/48750]	Loss: 0.3217	LR: 0.000800
Training Epoch: 18 [17920/48750]	Loss: 0.2681	LR: 0.000800
Training Epoch: 18 [18176/48750]	Loss: 0.2409	LR: 0.000800
Training Epoch: 18 [18432/48750]	Loss: 0.2932	LR: 0.000800
Training Epoch: 18 [18688/48750]	Loss: 0.2536	LR: 0.000800
Training Epoch: 18 [18944/48750]	Loss: 0.2106	LR: 0.000800
Training Epoch: 18 [19200/48750]	Loss: 0.2485	LR: 0.000800
Training Epoch: 18 [19456/48750]	Loss: 0.3250	LR: 0.000800
Training Epoch: 18 [19712/48750]	Loss: 0.2647	LR: 0.000800
Training Epoch: 18 [19968/48750]	Loss: 0.3302	LR: 0.000800
Training Epoch: 18 [20224/48750]	Loss: 0.2440	LR: 0.000800
Training Epoch: 18 [20480/48750]	Loss: 0.2664	LR: 0.000800
Training Epoch: 18 [20736/48750]	Loss: 0.2792	LR: 0.000800
Training Epoch: 18 [20992/48750]	Loss: 0.2660	LR: 0.000800
Training Epoch: 18 [21248/48750]	Loss: 0.2942	LR: 0.000800
Training Epoch: 18 [21504/48750]	Loss: 0.2559	LR: 0.000800
Training Epoch: 18 [21760/48750]	Loss: 0.2829	LR: 0.000800
Training Epoch: 18 [22016/48750]	Loss: 0.1965	LR: 0.000800
Training Epoch: 18 [22272/48750]	Loss: 0.2273	LR: 0.000800
Training Epoch: 18 [22528/48750]	Loss: 0.2885	LR: 0.000800
Training Epoch: 18 [22784/48750]	Loss: 0.2879	LR: 0.000800
Training Epoch: 18 [23040/48750]	Loss: 0.2589	LR: 0.000800
Training Epoch: 18 [23296/48750]	Loss: 0.2655	LR: 0.000800
Training Epoch: 18 [23552/48750]	Loss: 0.1983	LR: 0.000800
Training Epoch: 18 [23808/48750]	Loss: 0.3495	LR: 0.000800
Training Epoch: 18 [24064/48750]	Loss: 0.3090	LR: 0.000800
Training Epoch: 18 [24320/48750]	Loss: 0.2181	LR: 0.000800
Training Epoch: 18 [24576/48750]	Loss: 0.2376	LR: 0.000800
Training Epoch: 18 [24832/48750]	Loss: 0.2054	LR: 0.000800
Training Epoch: 18 [25088/48750]	Loss: 0.3054	LR: 0.000800
Training Epoch: 18 [25344/48750]	Loss: 0.2383	LR: 0.000800
Training Epoch: 18 [25600/48750]	Loss: 0.3299	LR: 0.000800
Training Epoch: 18 [25856/48750]	Loss: 0.2624	LR: 0.000800
Training Epoch: 18 [26112/48750]	Loss: 0.2188	LR: 0.000800
Training Epoch: 18 [26368/48750]	Loss: 0.2555	LR: 0.000800
Training Epoch: 18 [26624/48750]	Loss: 0.2068	LR: 0.000800
Training Epoch: 18 [26880/48750]	Loss: 0.3098	LR: 0.000800
Training Epoch: 18 [27136/48750]	Loss: 0.3237	LR: 0.000800
Training Epoch: 18 [27392/48750]	Loss: 0.2249	LR: 0.000800
Training Epoch: 18 [27648/48750]	Loss: 0.2806	LR: 0.000800
Training Epoch: 18 [27904/48750]	Loss: 0.3134	LR: 0.000800
Training Epoch: 18 [28160/48750]	Loss: 0.2525	LR: 0.000800
Training Epoch: 18 [28416/48750]	Loss: 0.2189	LR: 0.000800
Training Epoch: 18 [28672/48750]	Loss: 0.2772	LR: 0.000800
Training Epoch: 18 [28928/48750]	Loss: 0.1850	LR: 0.000800
Training Epoch: 18 [29184/48750]	Loss: 0.1937	LR: 0.000800
Training Epoch: 18 [29440/48750]	Loss: 0.2552	LR: 0.000800
Training Epoch: 18 [29696/48750]	Loss: 0.2558	LR: 0.000800
Training Epoch: 18 [29952/48750]	Loss: 0.2678	LR: 0.000800
Training Epoch: 18 [30208/48750]	Loss: 0.2693	LR: 0.000800
Training Epoch: 18 [30464/48750]	Loss: 0.2692	LR: 0.000800
Training Epoch: 18 [30720/48750]	Loss: 0.2416	LR: 0.000800
Training Epoch: 18 [30976/48750]	Loss: 0.2904	LR: 0.000800
Training Epoch: 18 [31232/48750]	Loss: 0.2392	LR: 0.000800
Training Epoch: 18 [31488/48750]	Loss: 0.2138	LR: 0.000800
Training Epoch: 18 [31744/48750]	Loss: 0.3137	LR: 0.000800
Training Epoch: 18 [32000/48750]	Loss: 0.2163	LR: 0.000800
Training Epoch: 18 [32256/48750]	Loss: 0.2952	LR: 0.000800
Training Epoch: 18 [32512/48750]	Loss: 0.2501	LR: 0.000800
Training Epoch: 18 [32768/48750]	Loss: 0.2799	LR: 0.000800
Training Epoch: 18 [33024/48750]	Loss: 0.2555	LR: 0.000800
Training Epoch: 18 [33280/48750]	Loss: 0.1898	LR: 0.000800
Training Epoch: 18 [33536/48750]	Loss: 0.3019	LR: 0.000800
Training Epoch: 18 [33792/48750]	Loss: 0.2480	LR: 0.000800
Training Epoch: 18 [34048/48750]	Loss: 0.2128	LR: 0.000800
Training Epoch: 18 [34304/48750]	Loss: 0.2935	LR: 0.000800
Training Epoch: 18 [34560/48750]	Loss: 0.1875	LR: 0.000800
Training Epoch: 18 [34816/48750]	Loss: 0.2267	LR: 0.000800
Training Epoch: 18 [35072/48750]	Loss: 0.2806	LR: 0.000800
Training Epoch: 18 [35328/48750]	Loss: 0.2755	LR: 0.000800
Training Epoch: 18 [35584/48750]	Loss: 0.3024	LR: 0.000800
Training Epoch: 18 [35840/48750]	Loss: 0.2811	LR: 0.000800
Training Epoch: 18 [36096/48750]	Loss: 0.2373	LR: 0.000800
Training Epoch: 18 [36352/48750]	Loss: 0.2861	LR: 0.000800
Training Epoch: 18 [36608/48750]	Loss: 0.2274	LR: 0.000800
Training Epoch: 18 [36864/48750]	Loss: 0.2832	LR: 0.000800
Training Epoch: 18 [37120/48750]	Loss: 0.3257	LR: 0.000800
Training Epoch: 18 [37376/48750]	Loss: 0.1685	LR: 0.000800
Training Epoch: 18 [37632/48750]	Loss: 0.2245	LR: 0.000800
Training Epoch: 18 [37888/48750]	Loss: 0.3114	LR: 0.000800
Training Epoch: 18 [38144/48750]	Loss: 0.2617	LR: 0.000800
Training Epoch: 18 [38400/48750]	Loss: 0.2805	LR: 0.000800
Training Epoch: 18 [38656/48750]	Loss: 0.2697	LR: 0.000800
Training Epoch: 18 [38912/48750]	Loss: 0.2135	LR: 0.000800
Training Epoch: 18 [39168/48750]	Loss: 0.2409	LR: 0.000800
Training Epoch: 18 [39424/48750]	Loss: 0.2600	LR: 0.000800
Training Epoch: 18 [39680/48750]	Loss: 0.2305	LR: 0.000800
Training Epoch: 18 [39936/48750]	Loss: 0.2807	LR: 0.000800
Training Epoch: 18 [40192/48750]	Loss: 0.2247	LR: 0.000800
Training Epoch: 18 [40448/48750]	Loss: 0.2006	LR: 0.000800
Training Epoch: 18 [40704/48750]	Loss: 0.2467	LR: 0.000800
Training Epoch: 18 [40960/48750]	Loss: 0.3127	LR: 0.000800
Training Epoch: 18 [41216/48750]	Loss: 0.2863	LR: 0.000800
Training Epoch: 18 [41472/48750]	Loss: 0.2169	LR: 0.000800
Training Epoch: 18 [41728/48750]	Loss: 0.3039	LR: 0.000800
Training Epoch: 18 [41984/48750]	Loss: 0.2559	LR: 0.000800
Training Epoch: 18 [42240/48750]	Loss: 0.2262	LR: 0.000800
Training Epoch: 18 [42496/48750]	Loss: 0.2804	LR: 0.000800
Training Epoch: 18 [42752/48750]	Loss: 0.2689	LR: 0.000800
Training Epoch: 18 [43008/48750]	Loss: 0.1947	LR: 0.000800
Training Epoch: 18 [43264/48750]	Loss: 0.2269	LR: 0.000800
Training Epoch: 18 [43520/48750]	Loss: 0.2490	LR: 0.000800
Training Epoch: 18 [43776/48750]	Loss: 0.2927	LR: 0.000800
Training Epoch: 18 [44032/48750]	Loss: 0.2620	LR: 0.000800
Training Epoch: 18 [44288/48750]	Loss: 0.2504	LR: 0.000800
Training Epoch: 18 [44544/48750]	Loss: 0.2823	LR: 0.000800
Training Epoch: 18 [44800/48750]	Loss: 0.2461	LR: 0.000800
Training Epoch: 18 [45056/48750]	Loss: 0.2872	LR: 0.000800
Training Epoch: 18 [45312/48750]	Loss: 0.2154	LR: 0.000800
Training Epoch: 18 [45568/48750]	Loss: 0.3658	LR: 0.000800
Training Epoch: 18 [45824/48750]	Loss: 0.2499	LR: 0.000800
Training Epoch: 18 [46080/48750]	Loss: 0.2556	LR: 0.000800
Training Epoch: 18 [46336/48750]	Loss: 0.3166	LR: 0.000800
Training Epoch: 18 [46592/48750]	Loss: 0.3558	LR: 0.000800
Training Epoch: 18 [46848/48750]	Loss: 0.3431	LR: 0.000800
Training Epoch: 18 [47104/48750]	Loss: 0.3241	LR: 0.000800
Training Epoch: 18 [47360/48750]	Loss: 0.1920	LR: 0.000800
Training Epoch: 18 [47616/48750]	Loss: 0.3277	LR: 0.000800
Training Epoch: 18 [47872/48750]	Loss: 0.2859	LR: 0.000800
Training Epoch: 18 [48128/48750]	Loss: 0.2187	LR: 0.000800
Training Epoch: 18 [48384/48750]	Loss: 0.3409	LR: 0.000800
Training Epoch: 18 [48640/48750]	Loss: 0.3303	LR: 0.000800
Training Epoch: 18 [48750/48750]	Loss: 0.2100	LR: 0.000800
Epoch 18 - Average Train Loss: 0.2635, Train Accuracy: 0.9081
Epoch 18 training time consumed: 29.90s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0013, Accuracy: 0.8938, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_20h_49m_17s/ResNet18-Cifar10-seed5-ret75-18-best.pth
Training Epoch: 19 [256/48750]	Loss: 0.2628	LR: 0.000800
Training Epoch: 19 [512/48750]	Loss: 0.2591	LR: 0.000800
Training Epoch: 19 [768/48750]	Loss: 0.2564	LR: 0.000800
Training Epoch: 19 [1024/48750]	Loss: 0.3408	LR: 0.000800
Training Epoch: 19 [1280/48750]	Loss: 0.3750	LR: 0.000800
Training Epoch: 19 [1536/48750]	Loss: 0.2793	LR: 0.000800
Training Epoch: 19 [1792/48750]	Loss: 0.2506	LR: 0.000800
Training Epoch: 19 [2048/48750]	Loss: 0.2491	LR: 0.000800
Training Epoch: 19 [2304/48750]	Loss: 0.3160	LR: 0.000800
Training Epoch: 19 [2560/48750]	Loss: 0.2057	LR: 0.000800
Training Epoch: 19 [2816/48750]	Loss: 0.2382	LR: 0.000800
Training Epoch: 19 [3072/48750]	Loss: 0.2186	LR: 0.000800
Training Epoch: 19 [3328/48750]	Loss: 0.2928	LR: 0.000800
Training Epoch: 19 [3584/48750]	Loss: 0.3190	LR: 0.000800
Training Epoch: 19 [3840/48750]	Loss: 0.2375	LR: 0.000800
Training Epoch: 19 [4096/48750]	Loss: 0.2670	LR: 0.000800
Training Epoch: 19 [4352/48750]	Loss: 0.2538	LR: 0.000800
Training Epoch: 19 [4608/48750]	Loss: 0.2618	LR: 0.000800
Training Epoch: 19 [4864/48750]	Loss: 0.3203	LR: 0.000800
Training Epoch: 19 [5120/48750]	Loss: 0.2772	LR: 0.000800
Training Epoch: 19 [5376/48750]	Loss: 0.2256	LR: 0.000800
Training Epoch: 19 [5632/48750]	Loss: 0.2126	LR: 0.000800
Training Epoch: 19 [5888/48750]	Loss: 0.3102	LR: 0.000800
Training Epoch: 19 [6144/48750]	Loss: 0.2191	LR: 0.000800
Training Epoch: 19 [6400/48750]	Loss: 0.2844	LR: 0.000800
Training Epoch: 19 [6656/48750]	Loss: 0.2926	LR: 0.000800
Training Epoch: 19 [6912/48750]	Loss: 0.3057	LR: 0.000800
Training Epoch: 19 [7168/48750]	Loss: 0.2170	LR: 0.000800
Training Epoch: 19 [7424/48750]	Loss: 0.2511	LR: 0.000800
Training Epoch: 19 [7680/48750]	Loss: 0.2153	LR: 0.000800
Training Epoch: 19 [7936/48750]	Loss: 0.2511	LR: 0.000800
Training Epoch: 19 [8192/48750]	Loss: 0.2643	LR: 0.000800
Training Epoch: 19 [8448/48750]	Loss: 0.2842	LR: 0.000800
Training Epoch: 19 [8704/48750]	Loss: 0.2934	LR: 0.000800
Training Epoch: 19 [8960/48750]	Loss: 0.3144	LR: 0.000800
Training Epoch: 19 [9216/48750]	Loss: 0.2224	LR: 0.000800
Training Epoch: 19 [9472/48750]	Loss: 0.2478	LR: 0.000800
Training Epoch: 19 [9728/48750]	Loss: 0.2899	LR: 0.000800
Training Epoch: 19 [9984/48750]	Loss: 0.2986	LR: 0.000800
Training Epoch: 19 [10240/48750]	Loss: 0.2175	LR: 0.000800
Training Epoch: 19 [10496/48750]	Loss: 0.2590	LR: 0.000800
Training Epoch: 19 [10752/48750]	Loss: 0.1965	LR: 0.000800
Training Epoch: 19 [11008/48750]	Loss: 0.3344	LR: 0.000800
Training Epoch: 19 [11264/48750]	Loss: 0.3363	LR: 0.000800
Training Epoch: 19 [11520/48750]	Loss: 0.2402	LR: 0.000800
Training Epoch: 19 [11776/48750]	Loss: 0.3048	LR: 0.000800
Training Epoch: 19 [12032/48750]	Loss: 0.2248	LR: 0.000800
Training Epoch: 19 [12288/48750]	Loss: 0.2587	LR: 0.000800
Training Epoch: 19 [12544/48750]	Loss: 0.2730	LR: 0.000800
Training Epoch: 19 [12800/48750]	Loss: 0.3396	LR: 0.000800
Training Epoch: 19 [13056/48750]	Loss: 0.3432	LR: 0.000800
Training Epoch: 19 [13312/48750]	Loss: 0.3226	LR: 0.000800
Training Epoch: 19 [13568/48750]	Loss: 0.2057	LR: 0.000800
Training Epoch: 19 [13824/48750]	Loss: 0.2376	LR: 0.000800
Training Epoch: 19 [14080/48750]	Loss: 0.2375	LR: 0.000800
Training Epoch: 19 [14336/48750]	Loss: 0.2367	LR: 0.000800
Training Epoch: 19 [14592/48750]	Loss: 0.2530	LR: 0.000800
Training Epoch: 19 [14848/48750]	Loss: 0.2385	LR: 0.000800
Training Epoch: 19 [15104/48750]	Loss: 0.1993	LR: 0.000800
Training Epoch: 19 [15360/48750]	Loss: 0.2591	LR: 0.000800
Training Epoch: 19 [15616/48750]	Loss: 0.2145	LR: 0.000800
Training Epoch: 19 [15872/48750]	Loss: 0.1947	LR: 0.000800
Training Epoch: 19 [16128/48750]	Loss: 0.2868	LR: 0.000800
Training Epoch: 19 [16384/48750]	Loss: 0.2769	LR: 0.000800
Training Epoch: 19 [16640/48750]	Loss: 0.2445	LR: 0.000800
Training Epoch: 19 [16896/48750]	Loss: 0.2766	LR: 0.000800
Training Epoch: 19 [17152/48750]	Loss: 0.2804	LR: 0.000800
Training Epoch: 19 [17408/48750]	Loss: 0.1847	LR: 0.000800
Training Epoch: 19 [17664/48750]	Loss: 0.2747	LR: 0.000800
Training Epoch: 19 [17920/48750]	Loss: 0.2178	LR: 0.000800
Training Epoch: 19 [18176/48750]	Loss: 0.2535	LR: 0.000800
Training Epoch: 19 [18432/48750]	Loss: 0.3131	LR: 0.000800
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Training Epoch: 19 [18944/48750]	Loss: 0.3177	LR: 0.000800
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Training Epoch: 19 [19456/48750]	Loss: 0.2948	LR: 0.000800
Training Epoch: 19 [19712/48750]	Loss: 0.2224	LR: 0.000800
Training Epoch: 19 [19968/48750]	Loss: 0.1795	LR: 0.000800
Training Epoch: 19 [20224/48750]	Loss: 0.2917	LR: 0.000800
Training Epoch: 19 [20480/48750]	Loss: 0.3239	LR: 0.000800
Training Epoch: 19 [20736/48750]	Loss: 0.2837	LR: 0.000800
Training Epoch: 19 [20992/48750]	Loss: 0.2886	LR: 0.000800
Training Epoch: 19 [21248/48750]	Loss: 0.3007	LR: 0.000800
Training Epoch: 19 [21504/48750]	Loss: 0.3782	LR: 0.000800
Training Epoch: 19 [21760/48750]	Loss: 0.2661	LR: 0.000800
Training Epoch: 19 [22016/48750]	Loss: 0.2473	LR: 0.000800
Training Epoch: 19 [22272/48750]	Loss: 0.2912	LR: 0.000800
Training Epoch: 19 [22528/48750]	Loss: 0.2291	LR: 0.000800
Training Epoch: 19 [22784/48750]	Loss: 0.2738	LR: 0.000800
Training Epoch: 19 [23040/48750]	Loss: 0.2655	LR: 0.000800
Training Epoch: 19 [23296/48750]	Loss: 0.2798	LR: 0.000800
Training Epoch: 19 [23552/48750]	Loss: 0.3279	LR: 0.000800
Training Epoch: 19 [23808/48750]	Loss: 0.2486	LR: 0.000800
Training Epoch: 19 [24064/48750]	Loss: 0.2191	LR: 0.000800
Training Epoch: 19 [24320/48750]	Loss: 0.3152	LR: 0.000800
Training Epoch: 19 [24576/48750]	Loss: 0.2920	LR: 0.000800
Training Epoch: 19 [24832/48750]	Loss: 0.3029	LR: 0.000800
Training Epoch: 19 [25088/48750]	Loss: 0.2203	LR: 0.000800
Training Epoch: 19 [25344/48750]	Loss: 0.3042	LR: 0.000800
Training Epoch: 19 [25600/48750]	Loss: 0.2319	LR: 0.000800
Training Epoch: 19 [25856/48750]	Loss: 0.2237	LR: 0.000800
Training Epoch: 19 [26112/48750]	Loss: 0.2605	LR: 0.000800
Training Epoch: 19 [26368/48750]	Loss: 0.2790	LR: 0.000800
Training Epoch: 19 [26624/48750]	Loss: 0.2640	LR: 0.000800
Training Epoch: 19 [26880/48750]	Loss: 0.2063	LR: 0.000800
Training Epoch: 19 [27136/48750]	Loss: 0.3073	LR: 0.000800
Training Epoch: 19 [27392/48750]	Loss: 0.2280	LR: 0.000800
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Training Epoch: 19 [27904/48750]	Loss: 0.3617	LR: 0.000800
Training Epoch: 19 [28160/48750]	Loss: 0.2175	LR: 0.000800
Training Epoch: 19 [28416/48750]	Loss: 0.2940	LR: 0.000800
Training Epoch: 19 [28672/48750]	Loss: 0.1953	LR: 0.000800
Training Epoch: 19 [28928/48750]	Loss: 0.1896	LR: 0.000800
Training Epoch: 19 [29184/48750]	Loss: 0.2928	LR: 0.000800
Training Epoch: 19 [29440/48750]	Loss: 0.2158	LR: 0.000800
Training Epoch: 19 [29696/48750]	Loss: 0.2303	LR: 0.000800
Training Epoch: 19 [29952/48750]	Loss: 0.2403	LR: 0.000800
Training Epoch: 19 [30208/48750]	Loss: 0.2992	LR: 0.000800
Training Epoch: 19 [30464/48750]	Loss: 0.3603	LR: 0.000800
Training Epoch: 19 [30720/48750]	Loss: 0.2403	LR: 0.000800
Training Epoch: 19 [30976/48750]	Loss: 0.2558	LR: 0.000800
Training Epoch: 19 [31232/48750]	Loss: 0.2084	LR: 0.000800
Training Epoch: 19 [31488/48750]	Loss: 0.2692	LR: 0.000800
Training Epoch: 19 [31744/48750]	Loss: 0.2313	LR: 0.000800
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Training Epoch: 19 [32256/48750]	Loss: 0.2278	LR: 0.000800
Training Epoch: 19 [32512/48750]	Loss: 0.2960	LR: 0.000800
Training Epoch: 19 [32768/48750]	Loss: 0.2870	LR: 0.000800
Training Epoch: 19 [33024/48750]	Loss: 0.3022	LR: 0.000800
Training Epoch: 19 [33280/48750]	Loss: 0.2468	LR: 0.000800
Training Epoch: 19 [33536/48750]	Loss: 0.2493	LR: 0.000800
Training Epoch: 19 [33792/48750]	Loss: 0.2311	LR: 0.000800
Training Epoch: 19 [34048/48750]	Loss: 0.2180	LR: 0.000800
Training Epoch: 19 [34304/48750]	Loss: 0.2295	LR: 0.000800
Training Epoch: 19 [34560/48750]	Loss: 0.2755	LR: 0.000800
Training Epoch: 19 [34816/48750]	Loss: 0.2439	LR: 0.000800
Training Epoch: 19 [35072/48750]	Loss: 0.2770	LR: 0.000800
Training Epoch: 19 [35328/48750]	Loss: 0.3656	LR: 0.000800
Training Epoch: 19 [35584/48750]	Loss: 0.3355	LR: 0.000800
Training Epoch: 19 [35840/48750]	Loss: 0.2378	LR: 0.000800
Training Epoch: 19 [36096/48750]	Loss: 0.1953	LR: 0.000800
Training Epoch: 19 [36352/48750]	Loss: 0.2119	LR: 0.000800
Training Epoch: 19 [36608/48750]	Loss: 0.2217	LR: 0.000800
Training Epoch: 19 [36864/48750]	Loss: 0.2736	LR: 0.000800
Training Epoch: 19 [37120/48750]	Loss: 0.2900	LR: 0.000800
Training Epoch: 19 [37376/48750]	Loss: 0.2204	LR: 0.000800
Training Epoch: 19 [37632/48750]	Loss: 0.2746	LR: 0.000800
Training Epoch: 19 [37888/48750]	Loss: 0.2201	LR: 0.000800
Training Epoch: 19 [38144/48750]	Loss: 0.3082	LR: 0.000800
Training Epoch: 19 [38400/48750]	Loss: 0.2457	LR: 0.000800
Training Epoch: 19 [38656/48750]	Loss: 0.2685	LR: 0.000800
Training Epoch: 19 [38912/48750]	Loss: 0.2925	LR: 0.000800
Training Epoch: 19 [39168/48750]	Loss: 0.2349	LR: 0.000800
Training Epoch: 19 [39424/48750]	Loss: 0.3256	LR: 0.000800
Training Epoch: 19 [39680/48750]	Loss: 0.2751	LR: 0.000800
Training Epoch: 19 [39936/48750]	Loss: 0.2811	LR: 0.000800
Training Epoch: 19 [40192/48750]	Loss: 0.2011	LR: 0.000800
Training Epoch: 19 [40448/48750]	Loss: 0.3589	LR: 0.000800
Training Epoch: 19 [40704/48750]	Loss: 0.2755	LR: 0.000800
Training Epoch: 19 [40960/48750]	Loss: 0.2235	LR: 0.000800
Training Epoch: 19 [41216/48750]	Loss: 0.2503	LR: 0.000800
Training Epoch: 19 [41472/48750]	Loss: 0.3048	LR: 0.000800
Training Epoch: 19 [41728/48750]	Loss: 0.2055	LR: 0.000800
Training Epoch: 19 [41984/48750]	Loss: 0.3173	LR: 0.000800
Training Epoch: 19 [42240/48750]	Loss: 0.2719	LR: 0.000800
Training Epoch: 19 [42496/48750]	Loss: 0.3306	LR: 0.000800
Training Epoch: 19 [42752/48750]	Loss: 0.1705	LR: 0.000800
Training Epoch: 19 [43008/48750]	Loss: 0.2719	LR: 0.000800
Training Epoch: 19 [43264/48750]	Loss: 0.2429	LR: 0.000800
Training Epoch: 19 [43520/48750]	Loss: 0.2240	LR: 0.000800
Training Epoch: 19 [43776/48750]	Loss: 0.2730	LR: 0.000800
Training Epoch: 19 [44032/48750]	Loss: 0.2621	LR: 0.000800
Training Epoch: 19 [44288/48750]	Loss: 0.2147	LR: 0.000800
Training Epoch: 19 [44544/48750]	Loss: 0.2773	LR: 0.000800
Training Epoch: 19 [44800/48750]	Loss: 0.1978	LR: 0.000800
Training Epoch: 19 [45056/48750]	Loss: 0.2441	LR: 0.000800
Training Epoch: 19 [45312/48750]	Loss: 0.2980	LR: 0.000800
Training Epoch: 19 [45568/48750]	Loss: 0.3157	LR: 0.000800
Training Epoch: 19 [45824/48750]	Loss: 0.2971	LR: 0.000800
Training Epoch: 19 [46080/48750]	Loss: 0.2577	LR: 0.000800
Training Epoch: 19 [46336/48750]	Loss: 0.2354	LR: 0.000800
Training Epoch: 19 [46592/48750]	Loss: 0.3223	LR: 0.000800
Training Epoch: 19 [46848/48750]	Loss: 0.2495	LR: 0.000800
Training Epoch: 19 [47104/48750]	Loss: 0.2022	LR: 0.000800
Training Epoch: 19 [47360/48750]	Loss: 0.2959	LR: 0.000800
Training Epoch: 19 [47616/48750]	Loss: 0.3444	LR: 0.000800
Training Epoch: 19 [47872/48750]	Loss: 0.3139	LR: 0.000800
Training Epoch: 19 [48128/48750]	Loss: 0.2534	LR: 0.000800
Training Epoch: 19 [48384/48750]	Loss: 0.2855	LR: 0.000800
Training Epoch: 19 [48640/48750]	Loss: 0.2577	LR: 0.000800
Training Epoch: 19 [48750/48750]	Loss: 0.3874	LR: 0.000800
Epoch 19 - Average Train Loss: 0.2651, Train Accuracy: 0.9083
Epoch 19 training time consumed: 29.91s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0013, Accuracy: 0.8932, Time consumed:0.97s
Training Epoch: 20 [256/48750]	Loss: 0.2309	LR: 0.000800
Training Epoch: 20 [512/48750]	Loss: 0.2666	LR: 0.000800
Training Epoch: 20 [768/48750]	Loss: 0.2265	LR: 0.000800
Training Epoch: 20 [1024/48750]	Loss: 0.2272	LR: 0.000800
Training Epoch: 20 [1280/48750]	Loss: 0.2521	LR: 0.000800
Training Epoch: 20 [1536/48750]	Loss: 0.2930	LR: 0.000800
Training Epoch: 20 [1792/48750]	Loss: 0.2469	LR: 0.000800
Training Epoch: 20 [2048/48750]	Loss: 0.1952	LR: 0.000800
Training Epoch: 20 [2304/48750]	Loss: 0.2223	LR: 0.000800
Training Epoch: 20 [2560/48750]	Loss: 0.2665	LR: 0.000800
Training Epoch: 20 [2816/48750]	Loss: 0.2478	LR: 0.000800
Training Epoch: 20 [3072/48750]	Loss: 0.2147	LR: 0.000800
Training Epoch: 20 [3328/48750]	Loss: 0.2231	LR: 0.000800
Training Epoch: 20 [3584/48750]	Loss: 0.2550	LR: 0.000800
Training Epoch: 20 [3840/48750]	Loss: 0.1939	LR: 0.000800
Training Epoch: 20 [4096/48750]	Loss: 0.1861	LR: 0.000800
Training Epoch: 20 [4352/48750]	Loss: 0.2187	LR: 0.000800
Training Epoch: 20 [4608/48750]	Loss: 0.2809	LR: 0.000800
Training Epoch: 20 [4864/48750]	Loss: 0.2185	LR: 0.000800
Training Epoch: 20 [5120/48750]	Loss: 0.2783	LR: 0.000800
Training Epoch: 20 [5376/48750]	Loss: 0.2286	LR: 0.000800
Training Epoch: 20 [5632/48750]	Loss: 0.2449	LR: 0.000800
Training Epoch: 20 [5888/48750]	Loss: 0.3160	LR: 0.000800
Training Epoch: 20 [6144/48750]	Loss: 0.2894	LR: 0.000800
Training Epoch: 20 [6400/48750]	Loss: 0.2358	LR: 0.000800
Training Epoch: 20 [6656/48750]	Loss: 0.2942	LR: 0.000800
Training Epoch: 20 [6912/48750]	Loss: 0.2949	LR: 0.000800
Training Epoch: 20 [7168/48750]	Loss: 0.2971	LR: 0.000800
Training Epoch: 20 [7424/48750]	Loss: 0.3411	LR: 0.000800
Training Epoch: 20 [7680/48750]	Loss: 0.1975	LR: 0.000800
Training Epoch: 20 [7936/48750]	Loss: 0.2455	LR: 0.000800
Training Epoch: 20 [8192/48750]	Loss: 0.2312	LR: 0.000800
Training Epoch: 20 [8448/48750]	Loss: 0.2079	LR: 0.000800
Training Epoch: 20 [8704/48750]	Loss: 0.3071	LR: 0.000800
Training Epoch: 20 [8960/48750]	Loss: 0.2143	LR: 0.000800
Training Epoch: 20 [9216/48750]	Loss: 0.3051	LR: 0.000800
Training Epoch: 20 [9472/48750]	Loss: 0.3351	LR: 0.000800
Training Epoch: 20 [9728/48750]	Loss: 0.2876	LR: 0.000800
Training Epoch: 20 [9984/48750]	Loss: 0.2593	LR: 0.000800
Training Epoch: 20 [10240/48750]	Loss: 0.2679	LR: 0.000800
Training Epoch: 20 [10496/48750]	Loss: 0.2680	LR: 0.000800
Training Epoch: 20 [10752/48750]	Loss: 0.2827	LR: 0.000800
Training Epoch: 20 [11008/48750]	Loss: 0.2282	LR: 0.000800
Training Epoch: 20 [11264/48750]	Loss: 0.2879	LR: 0.000800
Training Epoch: 20 [11520/48750]	Loss: 0.2811	LR: 0.000800
Training Epoch: 20 [11776/48750]	Loss: 0.2274	LR: 0.000800
Training Epoch: 20 [12032/48750]	Loss: 0.2536	LR: 0.000800
Training Epoch: 20 [12288/48750]	Loss: 0.2556	LR: 0.000800
Training Epoch: 20 [12544/48750]	Loss: 0.2958	LR: 0.000800
Training Epoch: 20 [12800/48750]	Loss: 0.2545	LR: 0.000800
Training Epoch: 20 [13056/48750]	Loss: 0.3550	LR: 0.000800
Training Epoch: 20 [13312/48750]	Loss: 0.2418	LR: 0.000800
Training Epoch: 20 [13568/48750]	Loss: 0.3430	LR: 0.000800
Training Epoch: 20 [13824/48750]	Loss: 0.2367	LR: 0.000800
Training Epoch: 20 [14080/48750]	Loss: 0.2661	LR: 0.000800
Training Epoch: 20 [14336/48750]	Loss: 0.2579	LR: 0.000800
Training Epoch: 20 [14592/48750]	Loss: 0.1866	LR: 0.000800
Training Epoch: 20 [14848/48750]	Loss: 0.2413	LR: 0.000800
Training Epoch: 20 [15104/48750]	Loss: 0.3036	LR: 0.000800
Training Epoch: 20 [15360/48750]	Loss: 0.2102	LR: 0.000800
Training Epoch: 20 [15616/48750]	Loss: 0.2373	LR: 0.000800
Training Epoch: 20 [15872/48750]	Loss: 0.3632	LR: 0.000800
Training Epoch: 20 [16128/48750]	Loss: 0.2640	LR: 0.000800
Training Epoch: 20 [16384/48750]	Loss: 0.2594	LR: 0.000800
Training Epoch: 20 [16640/48750]	Loss: 0.2578	LR: 0.000800
Training Epoch: 20 [16896/48750]	Loss: 0.2849	LR: 0.000800
Training Epoch: 20 [17152/48750]	Loss: 0.2860	LR: 0.000800
Training Epoch: 20 [17408/48750]	Loss: 0.2973	LR: 0.000800
Training Epoch: 20 [17664/48750]	Loss: 0.2735	LR: 0.000800
Training Epoch: 20 [17920/48750]	Loss: 0.3128	LR: 0.000800
Training Epoch: 20 [18176/48750]	Loss: 0.3043	LR: 0.000800
Training Epoch: 20 [18432/48750]	Loss: 0.2737	LR: 0.000800
Training Epoch: 20 [18688/48750]	Loss: 0.2636	LR: 0.000800
Training Epoch: 20 [18944/48750]	Loss: 0.2838	LR: 0.000800
Training Epoch: 20 [19200/48750]	Loss: 0.2436	LR: 0.000800
Training Epoch: 20 [19456/48750]	Loss: 0.2457	LR: 0.000800
Training Epoch: 20 [19712/48750]	Loss: 0.1937	LR: 0.000800
Training Epoch: 20 [19968/48750]	Loss: 0.2178	LR: 0.000800
Training Epoch: 20 [20224/48750]	Loss: 0.2697	LR: 0.000800
Training Epoch: 20 [20480/48750]	Loss: 0.2644	LR: 0.000800
Training Epoch: 20 [20736/48750]	Loss: 0.3111	LR: 0.000800
Training Epoch: 20 [20992/48750]	Loss: 0.3134	LR: 0.000800
Training Epoch: 20 [21248/48750]	Loss: 0.2389	LR: 0.000800
Training Epoch: 20 [21504/48750]	Loss: 0.2490	LR: 0.000800
Training Epoch: 20 [21760/48750]	Loss: 0.2307	LR: 0.000800
Training Epoch: 20 [22016/48750]	Loss: 0.2878	LR: 0.000800
Training Epoch: 20 [22272/48750]	Loss: 0.3196	LR: 0.000800
Training Epoch: 20 [22528/48750]	Loss: 0.2674	LR: 0.000800
Training Epoch: 20 [22784/48750]	Loss: 0.3450	LR: 0.000800
Training Epoch: 20 [23040/48750]	Loss: 0.3226	LR: 0.000800
Training Epoch: 20 [23296/48750]	Loss: 0.2181	LR: 0.000800
Training Epoch: 20 [23552/48750]	Loss: 0.2841	LR: 0.000800
Training Epoch: 20 [23808/48750]	Loss: 0.3107	LR: 0.000800
Training Epoch: 20 [24064/48750]	Loss: 0.3252	LR: 0.000800
Training Epoch: 20 [24320/48750]	Loss: 0.3589	LR: 0.000800
Training Epoch: 20 [24576/48750]	Loss: 0.3547	LR: 0.000800
Training Epoch: 20 [24832/48750]	Loss: 0.3028	LR: 0.000800
Training Epoch: 20 [25088/48750]	Loss: 0.2651	LR: 0.000800
Training Epoch: 20 [25344/48750]	Loss: 0.2743	LR: 0.000800
Training Epoch: 20 [25600/48750]	Loss: 0.3066	LR: 0.000800
Training Epoch: 20 [25856/48750]	Loss: 0.2525	LR: 0.000800
Training Epoch: 20 [26112/48750]	Loss: 0.2323	LR: 0.000800
Training Epoch: 20 [26368/48750]	Loss: 0.2666	LR: 0.000800
Training Epoch: 20 [26624/48750]	Loss: 0.1844	LR: 0.000800
Training Epoch: 20 [26880/48750]	Loss: 0.2381	LR: 0.000800
Training Epoch: 20 [27136/48750]	Loss: 0.2454	LR: 0.000800
Training Epoch: 20 [27392/48750]	Loss: 0.2454	LR: 0.000800
Training Epoch: 20 [27648/48750]	Loss: 0.2019	LR: 0.000800
Training Epoch: 20 [27904/48750]	Loss: 0.3064	LR: 0.000800
Training Epoch: 20 [28160/48750]	Loss: 0.2776	LR: 0.000800
Training Epoch: 20 [28416/48750]	Loss: 0.2711	LR: 0.000800
Training Epoch: 20 [28672/48750]	Loss: 0.2824	LR: 0.000800
Training Epoch: 20 [28928/48750]	Loss: 0.1584	LR: 0.000800
Training Epoch: 20 [29184/48750]	Loss: 0.2052	LR: 0.000800
Training Epoch: 20 [29440/48750]	Loss: 0.1612	LR: 0.000800
Training Epoch: 20 [29696/48750]	Loss: 0.2357	LR: 0.000800
Training Epoch: 20 [29952/48750]	Loss: 0.2596	LR: 0.000800
Training Epoch: 20 [30208/48750]	Loss: 0.2801	LR: 0.000800
Training Epoch: 20 [30464/48750]	Loss: 0.2424	LR: 0.000800
Training Epoch: 20 [30720/48750]	Loss: 0.2388	LR: 0.000800
Training Epoch: 20 [30976/48750]	Loss: 0.2140	LR: 0.000800
Training Epoch: 20 [31232/48750]	Loss: 0.2999	LR: 0.000800
Training Epoch: 20 [31488/48750]	Loss: 0.2614	LR: 0.000800
Training Epoch: 20 [31744/48750]	Loss: 0.2456	LR: 0.000800
Training Epoch: 20 [32000/48750]	Loss: 0.2806	LR: 0.000800
Training Epoch: 20 [32256/48750]	Loss: 0.2409	LR: 0.000800
Training Epoch: 20 [32512/48750]	Loss: 0.2934	LR: 0.000800
Training Epoch: 20 [32768/48750]	Loss: 0.2908	LR: 0.000800
Training Epoch: 20 [33024/48750]	Loss: 0.2780	LR: 0.000800
Training Epoch: 20 [33280/48750]	Loss: 0.2094	LR: 0.000800
Training Epoch: 20 [33536/48750]	Loss: 0.2902	LR: 0.000800
Training Epoch: 20 [33792/48750]	Loss: 0.2628	LR: 0.000800
Training Epoch: 20 [34048/48750]	Loss: 0.2471	LR: 0.000800
Training Epoch: 20 [34304/48750]	Loss: 0.1575	LR: 0.000800
Training Epoch: 20 [34560/48750]	Loss: 0.2816	LR: 0.000800
Training Epoch: 20 [34816/48750]	Loss: 0.2483	LR: 0.000800
Training Epoch: 20 [35072/48750]	Loss: 0.2561	LR: 0.000800
Training Epoch: 20 [35328/48750]	Loss: 0.1975	LR: 0.000800
Training Epoch: 20 [35584/48750]	Loss: 0.3479	LR: 0.000800
Training Epoch: 20 [35840/48750]	Loss: 0.3625	LR: 0.000800
Training Epoch: 20 [36096/48750]	Loss: 0.2458	LR: 0.000800
Training Epoch: 20 [36352/48750]	Loss: 0.2774	LR: 0.000800
Training Epoch: 20 [36608/48750]	Loss: 0.2710	LR: 0.000800
Training Epoch: 20 [36864/48750]	Loss: 0.3085	LR: 0.000800
Training Epoch: 20 [37120/48750]	Loss: 0.2963	LR: 0.000800
Training Epoch: 20 [37376/48750]	Loss: 0.2331	LR: 0.000800
Training Epoch: 20 [37632/48750]	Loss: 0.2748	LR: 0.000800
Training Epoch: 20 [37888/48750]	Loss: 0.2763	LR: 0.000800
Training Epoch: 20 [38144/48750]	Loss: 0.2649	LR: 0.000800
Training Epoch: 20 [38400/48750]	Loss: 0.2591	LR: 0.000800
Training Epoch: 20 [38656/48750]	Loss: 0.2525	LR: 0.000800
Training Epoch: 20 [38912/48750]	Loss: 0.1997	LR: 0.000800
Training Epoch: 20 [39168/48750]	Loss: 0.2743	LR: 0.000800
Training Epoch: 20 [39424/48750]	Loss: 0.2401	LR: 0.000800
Training Epoch: 20 [39680/48750]	Loss: 0.2614	LR: 0.000800
Training Epoch: 20 [39936/48750]	Loss: 0.2799	LR: 0.000800
Training Epoch: 20 [40192/48750]	Loss: 0.3095	LR: 0.000800
Training Epoch: 20 [40448/48750]	Loss: 0.2125	LR: 0.000800
Training Epoch: 20 [40704/48750]	Loss: 0.2409	LR: 0.000800
Training Epoch: 20 [40960/48750]	Loss: 0.2734	LR: 0.000800
Training Epoch: 20 [41216/48750]	Loss: 0.3148	LR: 0.000800
Training Epoch: 20 [41472/48750]	Loss: 0.2384	LR: 0.000800
Training Epoch: 20 [41728/48750]	Loss: 0.2844	LR: 0.000800
Training Epoch: 20 [41984/48750]	Loss: 0.3226	LR: 0.000800
Training Epoch: 20 [42240/48750]	Loss: 0.2758	LR: 0.000800
Training Epoch: 20 [42496/48750]	Loss: 0.2542	LR: 0.000800
Training Epoch: 20 [42752/48750]	Loss: 0.3179	LR: 0.000800
Training Epoch: 20 [43008/48750]	Loss: 0.2472	LR: 0.000800
Training Epoch: 20 [43264/48750]	Loss: 0.3103	LR: 0.000800
Training Epoch: 20 [43520/48750]	Loss: 0.2555	LR: 0.000800
Training Epoch: 20 [43776/48750]	Loss: 0.2707	LR: 0.000800
Training Epoch: 20 [44032/48750]	Loss: 0.2355	LR: 0.000800
Training Epoch: 20 [44288/48750]	Loss: 0.2795	LR: 0.000800
Training Epoch: 20 [44544/48750]	Loss: 0.1907	LR: 0.000800
Training Epoch: 20 [44800/48750]	Loss: 0.2777	LR: 0.000800
Training Epoch: 20 [45056/48750]	Loss: 0.2669	LR: 0.000800
Training Epoch: 20 [45312/48750]	Loss: 0.2436	LR: 0.000800
Training Epoch: 20 [45568/48750]	Loss: 0.1961	LR: 0.000800
Training Epoch: 20 [45824/48750]	Loss: 0.2580	LR: 0.000800
Training Epoch: 20 [46080/48750]	Loss: 0.2698	LR: 0.000800
Training Epoch: 20 [46336/48750]	Loss: 0.2665	LR: 0.000800
Training Epoch: 20 [46592/48750]	Loss: 0.2608	LR: 0.000800
Training Epoch: 20 [46848/48750]	Loss: 0.3204	LR: 0.000800
Training Epoch: 20 [47104/48750]	Loss: 0.1937	LR: 0.000800
Training Epoch: 20 [47360/48750]	Loss: 0.2112	LR: 0.000800
Training Epoch: 20 [47616/48750]	Loss: 0.2350	LR: 0.000800
Training Epoch: 20 [47872/48750]	Loss: 0.3589	LR: 0.000800
Training Epoch: 20 [48128/48750]	Loss: 0.2833	LR: 0.000800
Training Epoch: 20 [48384/48750]	Loss: 0.2781	LR: 0.000800
Training Epoch: 20 [48640/48750]	Loss: 0.1854	LR: 0.000800
Training Epoch: 20 [48750/48750]	Loss: 0.2479	LR: 0.000800
Epoch 20 - Average Train Loss: 0.2626, Train Accuracy: 0.9086
Epoch 20 training time consumed: 29.97s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0013, Accuracy: 0.8926, Time consumed:1.00s
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: 0.7000
Set1 Distribution: 1250 samples
Set2 Distribution: 1250 samples
MIA Attack Accuracy with XGBoost: 0.4860
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
MIA Attack Accuracy with XGBoost: 0.6645
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
MIA Attack Accuracy with XGBoost: 0.5098
Test Accuracy: 91.552734375
Retain Accuracy: 94.08686065673828
Zero-Retain Forget (ZRF): 0.8189904689788818
Membership Inference Attack (MIA): 0.7056
Forget vs Retain Membership Inference Attack (MIA): 0.7
Forget vs Test Membership Inference Attack (MIA): 0.486
Test vs Retain Membership Inference Attack (MIA): 0.6645
Train vs Test Membership Inference Attack (MIA): 0.50975
Forget Set Accuracy (Df): 93.28678131103516
Method Execution Time: 2510.46 seconds
