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

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

Updated class distribution:
Retain set:
  Class 0: 4875
  Class 1: 4875
  Class 2: 4875
  Class 3: 4875
  Class 4: 4875
  Class 5: 4875
  Class 6: 4875
  Class 7: 4875
  Class 8: 4875
  Class 9: 4875
Forget set:
  Class 0: 125
  Class 1: 125
  Class 2: 125
  Class 3: 125
  Class 4: 125
  Class 5: 125
  Class 6: 125
  Class 7: 125
  Class 8: 125
  Class 9: 125
⚠️ Warning: Retain train loader may not be shuffled.
Training Epoch: 1 [256/48750]	Loss: 2.3280	LR: 0.000000
Training Epoch: 1 [512/48750]	Loss: 2.3375	LR: 0.000524
Training Epoch: 1 [768/48750]	Loss: 2.3595	LR: 0.001047
Training Epoch: 1 [1024/48750]	Loss: 2.3307	LR: 0.001571
Training Epoch: 1 [1280/48750]	Loss: 2.2923	LR: 0.002094
Training Epoch: 1 [1536/48750]	Loss: 2.3039	LR: 0.002618
Training Epoch: 1 [1792/48750]	Loss: 2.2782	LR: 0.003141
Training Epoch: 1 [2048/48750]	Loss: 2.2443	LR: 0.003665
Training Epoch: 1 [2304/48750]	Loss: 2.2413	LR: 0.004188
Training Epoch: 1 [2560/48750]	Loss: 2.2525	LR: 0.004712
Training Epoch: 1 [2816/48750]	Loss: 2.2170	LR: 0.005236
Training Epoch: 1 [3072/48750]	Loss: 2.2681	LR: 0.005759
Training Epoch: 1 [3328/48750]	Loss: 2.1686	LR: 0.006283
Training Epoch: 1 [3584/48750]	Loss: 2.1150	LR: 0.006806
Training Epoch: 1 [3840/48750]	Loss: 2.1535	LR: 0.007330
Training Epoch: 1 [4096/48750]	Loss: 2.0597	LR: 0.007853
Training Epoch: 1 [4352/48750]	Loss: 1.9716	LR: 0.008377
Training Epoch: 1 [4608/48750]	Loss: 2.0043	LR: 0.008901
Training Epoch: 1 [4864/48750]	Loss: 1.9611	LR: 0.009424
Training Epoch: 1 [5120/48750]	Loss: 1.9516	LR: 0.009948
Training Epoch: 1 [5376/48750]	Loss: 1.9550	LR: 0.010471
Training Epoch: 1 [5632/48750]	Loss: 1.8981	LR: 0.010995
Training Epoch: 1 [5888/48750]	Loss: 1.8928	LR: 0.011518
Training Epoch: 1 [6144/48750]	Loss: 1.8355	LR: 0.012042
Training Epoch: 1 [6400/48750]	Loss: 1.8717	LR: 0.012565
Training Epoch: 1 [6656/48750]	Loss: 1.8642	LR: 0.013089
Training Epoch: 1 [6912/48750]	Loss: 1.9705	LR: 0.013613
Training Epoch: 1 [7168/48750]	Loss: 1.8658	LR: 0.014136
Training Epoch: 1 [7424/48750]	Loss: 1.8761	LR: 0.014660
Training Epoch: 1 [7680/48750]	Loss: 1.8650	LR: 0.015183
Training Epoch: 1 [7936/48750]	Loss: 1.8109	LR: 0.015707
Training Epoch: 1 [8192/48750]	Loss: 1.8175	LR: 0.016230
Training Epoch: 1 [8448/48750]	Loss: 1.9325	LR: 0.016754
Training Epoch: 1 [8704/48750]	Loss: 1.8572	LR: 0.017277
Training Epoch: 1 [8960/48750]	Loss: 1.8085	LR: 0.017801
Training Epoch: 1 [9216/48750]	Loss: 1.7124	LR: 0.018325
Training Epoch: 1 [9472/48750]	Loss: 1.8320	LR: 0.018848
Training Epoch: 1 [9728/48750]	Loss: 1.7645	LR: 0.019372
Training Epoch: 1 [9984/48750]	Loss: 1.9117	LR: 0.019895
Training Epoch: 1 [10240/48750]	Loss: 1.9061	LR: 0.020419
Training Epoch: 1 [10496/48750]	Loss: 1.8180	LR: 0.020942
Training Epoch: 1 [10752/48750]	Loss: 1.7436	LR: 0.021466
Training Epoch: 1 [11008/48750]	Loss: 1.7942	LR: 0.021990
Training Epoch: 1 [11264/48750]	Loss: 1.7776	LR: 0.022513
Training Epoch: 1 [11520/48750]	Loss: 1.7423	LR: 0.023037
Training Epoch: 1 [11776/48750]	Loss: 2.0213	LR: 0.023560
Training Epoch: 1 [12032/48750]	Loss: 1.8651	LR: 0.024084
Training Epoch: 1 [12288/48750]	Loss: 1.7521	LR: 0.024607
Training Epoch: 1 [12544/48750]	Loss: 1.8507	LR: 0.025131
Training Epoch: 1 [12800/48750]	Loss: 1.8202	LR: 0.025654
Training Epoch: 1 [13056/48750]	Loss: 1.7245	LR: 0.026178
Training Epoch: 1 [13312/48750]	Loss: 1.7932	LR: 0.026702
Training Epoch: 1 [13568/48750]	Loss: 1.7240	LR: 0.027225
Training Epoch: 1 [13824/48750]	Loss: 2.1523	LR: 0.027749
Training Epoch: 1 [14080/48750]	Loss: 1.7272	LR: 0.028272
Training Epoch: 1 [14336/48750]	Loss: 2.0292	LR: 0.028796
Training Epoch: 1 [14592/48750]	Loss: 1.8704	LR: 0.029319
Training Epoch: 1 [14848/48750]	Loss: 1.8076	LR: 0.029843
Training Epoch: 1 [15104/48750]	Loss: 1.5832	LR: 0.030366
Training Epoch: 1 [15360/48750]	Loss: 1.7594	LR: 0.030890
Training Epoch: 1 [15616/48750]	Loss: 1.9056	LR: 0.031414
Training Epoch: 1 [15872/48750]	Loss: 1.6719	LR: 0.031937
Training Epoch: 1 [16128/48750]	Loss: 1.7319	LR: 0.032461
Training Epoch: 1 [16384/48750]	Loss: 1.8868	LR: 0.032984
Training Epoch: 1 [16640/48750]	Loss: 1.7048	LR: 0.033508
Training Epoch: 1 [16896/48750]	Loss: 1.7514	LR: 0.034031
Training Epoch: 1 [17152/48750]	Loss: 1.7267	LR: 0.034555
Training Epoch: 1 [17408/48750]	Loss: 1.8632	LR: 0.035079
Training Epoch: 1 [17664/48750]	Loss: 1.8310	LR: 0.035602
Training Epoch: 1 [17920/48750]	Loss: 1.7049	LR: 0.036126
Training Epoch: 1 [18176/48750]	Loss: 1.7209	LR: 0.036649
Training Epoch: 1 [18432/48750]	Loss: 1.7246	LR: 0.037173
Training Epoch: 1 [18688/48750]	Loss: 1.5496	LR: 0.037696
Training Epoch: 1 [18944/48750]	Loss: 1.7326	LR: 0.038220
Training Epoch: 1 [19200/48750]	Loss: 1.6955	LR: 0.038743
Training Epoch: 1 [19456/48750]	Loss: 1.5345	LR: 0.039267
Training Epoch: 1 [19712/48750]	Loss: 1.7295	LR: 0.039791
Training Epoch: 1 [19968/48750]	Loss: 1.6252	LR: 0.040314
Training Epoch: 1 [20224/48750]	Loss: 1.5934	LR: 0.040838
Training Epoch: 1 [20480/48750]	Loss: 1.7203	LR: 0.041361
Training Epoch: 1 [20736/48750]	Loss: 1.6044	LR: 0.041885
Training Epoch: 1 [20992/48750]	Loss: 1.7121	LR: 0.042408
Training Epoch: 1 [21248/48750]	Loss: 1.7490	LR: 0.042932
Training Epoch: 1 [21504/48750]	Loss: 1.6963	LR: 0.043455
Training Epoch: 1 [21760/48750]	Loss: 1.5667	LR: 0.043979
Training Epoch: 1 [22016/48750]	Loss: 1.7994	LR: 0.044503
Training Epoch: 1 [22272/48750]	Loss: 1.4465	LR: 0.045026
Training Epoch: 1 [22528/48750]	Loss: 1.7255	LR: 0.045550
Training Epoch: 1 [22784/48750]	Loss: 1.5765	LR: 0.046073
Training Epoch: 1 [23040/48750]	Loss: 1.5754	LR: 0.046597
Training Epoch: 1 [23296/48750]	Loss: 1.7163	LR: 0.047120
Training Epoch: 1 [23552/48750]	Loss: 1.6979	LR: 0.047644
Training Epoch: 1 [23808/48750]	Loss: 1.6535	LR: 0.048168
Training Epoch: 1 [24064/48750]	Loss: 1.6706	LR: 0.048691
Training Epoch: 1 [24320/48750]	Loss: 1.7268	LR: 0.049215
Training Epoch: 1 [24576/48750]	Loss: 1.6396	LR: 0.049738
Training Epoch: 1 [24832/48750]	Loss: 1.6168	LR: 0.050262
Training Epoch: 1 [25088/48750]	Loss: 1.7473	LR: 0.050785
Training Epoch: 1 [25344/48750]	Loss: 1.6303	LR: 0.051309
Training Epoch: 1 [25600/48750]	Loss: 1.5916	LR: 0.051832
Training Epoch: 1 [25856/48750]	Loss: 1.4948	LR: 0.052356
Training Epoch: 1 [26112/48750]	Loss: 1.6634	LR: 0.052880
Training Epoch: 1 [26368/48750]	Loss: 1.5985	LR: 0.053403
Training Epoch: 1 [26624/48750]	Loss: 1.7133	LR: 0.053927
Training Epoch: 1 [26880/48750]	Loss: 1.6790	LR: 0.054450
Training Epoch: 1 [27136/48750]	Loss: 1.6095	LR: 0.054974
Training Epoch: 1 [27392/48750]	Loss: 1.8225	LR: 0.055497
Training Epoch: 1 [27648/48750]	Loss: 1.5214	LR: 0.056021
Training Epoch: 1 [27904/48750]	Loss: 1.6508	LR: 0.056545
Training Epoch: 1 [28160/48750]	Loss: 1.6737	LR: 0.057068
Training Epoch: 1 [28416/48750]	Loss: 1.6351	LR: 0.057592
Training Epoch: 1 [28672/48750]	Loss: 1.7363	LR: 0.058115
Training Epoch: 1 [28928/48750]	Loss: 1.6696	LR: 0.058639
Training Epoch: 1 [29184/48750]	Loss: 1.4856	LR: 0.059162
Training Epoch: 1 [29440/48750]	Loss: 1.8473	LR: 0.059686
Training Epoch: 1 [29696/48750]	Loss: 1.5500	LR: 0.060209
Training Epoch: 1 [29952/48750]	Loss: 1.5251	LR: 0.060733
Training Epoch: 1 [30208/48750]	Loss: 1.7516	LR: 0.061257
Training Epoch: 1 [30464/48750]	Loss: 1.5388	LR: 0.061780
Training Epoch: 1 [30720/48750]	Loss: 1.7199	LR: 0.062304
Training Epoch: 1 [30976/48750]	Loss: 1.6144	LR: 0.062827
Training Epoch: 1 [31232/48750]	Loss: 1.8148	LR: 0.063351
Training Epoch: 1 [31488/48750]	Loss: 1.6154	LR: 0.063874
Training Epoch: 1 [31744/48750]	Loss: 1.6726	LR: 0.064398
Training Epoch: 1 [32000/48750]	Loss: 1.6486	LR: 0.064921
Training Epoch: 1 [32256/48750]	Loss: 1.3204	LR: 0.065445
Training Epoch: 1 [32512/48750]	Loss: 1.5872	LR: 0.065969
Training Epoch: 1 [32768/48750]	Loss: 1.6816	LR: 0.066492
Training Epoch: 1 [33024/48750]	Loss: 1.6413	LR: 0.067016
Training Epoch: 1 [33280/48750]	Loss: 1.4506	LR: 0.067539
Training Epoch: 1 [33536/48750]	Loss: 1.6751	LR: 0.068063
Training Epoch: 1 [33792/48750]	Loss: 1.6033	LR: 0.068586
Training Epoch: 1 [34048/48750]	Loss: 1.6194	LR: 0.069110
Training Epoch: 1 [34304/48750]	Loss: 1.5600	LR: 0.069634
Training Epoch: 1 [34560/48750]	Loss: 1.5105	LR: 0.070157
Training Epoch: 1 [34816/48750]	Loss: 1.4904	LR: 0.070681
Training Epoch: 1 [35072/48750]	Loss: 1.7396	LR: 0.071204
Training Epoch: 1 [35328/48750]	Loss: 1.5338	LR: 0.071728
Training Epoch: 1 [35584/48750]	Loss: 1.5555	LR: 0.072251
Training Epoch: 1 [35840/48750]	Loss: 1.6258	LR: 0.072775
Training Epoch: 1 [36096/48750]	Loss: 1.6107	LR: 0.073298
Training Epoch: 1 [36352/48750]	Loss: 1.6724	LR: 0.073822
Training Epoch: 1 [36608/48750]	Loss: 1.5287	LR: 0.074346
Training Epoch: 1 [36864/48750]	Loss: 1.4961	LR: 0.074869
Training Epoch: 1 [37120/48750]	Loss: 1.4534	LR: 0.075393
Training Epoch: 1 [37376/48750]	Loss: 1.6607	LR: 0.075916
Training Epoch: 1 [37632/48750]	Loss: 1.4166	LR: 0.076440
Training Epoch: 1 [37888/48750]	Loss: 1.5059	LR: 0.076963
Training Epoch: 1 [38144/48750]	Loss: 1.4035	LR: 0.077487
Training Epoch: 1 [38400/48750]	Loss: 1.4230	LR: 0.078010
Training Epoch: 1 [38656/48750]	Loss: 1.5492	LR: 0.078534
Training Epoch: 1 [38912/48750]	Loss: 1.3769	LR: 0.079058
Training Epoch: 1 [39168/48750]	Loss: 1.6108	LR: 0.079581
Training Epoch: 1 [39424/48750]	Loss: 1.5359	LR: 0.080105
Training Epoch: 1 [39680/48750]	Loss: 1.4730	LR: 0.080628
Training Epoch: 1 [39936/48750]	Loss: 1.4770	LR: 0.081152
Training Epoch: 1 [40192/48750]	Loss: 1.3578	LR: 0.081675
Training Epoch: 1 [40448/48750]	Loss: 1.4559	LR: 0.082199
Training Epoch: 1 [40704/48750]	Loss: 1.4864	LR: 0.082723
Training Epoch: 1 [40960/48750]	Loss: 1.4631	LR: 0.083246
Training Epoch: 1 [41216/48750]	Loss: 1.7189	LR: 0.083770
Training Epoch: 1 [41472/48750]	Loss: 1.5242	LR: 0.084293
Training Epoch: 1 [41728/48750]	Loss: 1.4001	LR: 0.084817
Training Epoch: 1 [41984/48750]	Loss: 1.4912	LR: 0.085340
Training Epoch: 1 [42240/48750]	Loss: 1.5646	LR: 0.085864
Training Epoch: 1 [42496/48750]	Loss: 1.4211	LR: 0.086387
Training Epoch: 1 [42752/48750]	Loss: 1.4880	LR: 0.086911
Training Epoch: 1 [43008/48750]	Loss: 1.4456	LR: 0.087435
Training Epoch: 1 [43264/48750]	Loss: 1.3974	LR: 0.087958
Training Epoch: 1 [43520/48750]	Loss: 1.3935	LR: 0.088482
Training Epoch: 1 [43776/48750]	Loss: 1.4560	LR: 0.089005
Training Epoch: 1 [44032/48750]	Loss: 1.5203	LR: 0.089529
Training Epoch: 1 [44288/48750]	Loss: 1.4317	LR: 0.090052
Training Epoch: 1 [44544/48750]	Loss: 1.4188	LR: 0.090576
Training Epoch: 1 [44800/48750]	Loss: 1.4919	LR: 0.091099
Training Epoch: 1 [45056/48750]	Loss: 1.4342	LR: 0.091623
Training Epoch: 1 [45312/48750]	Loss: 1.4648	LR: 0.092147
Training Epoch: 1 [45568/48750]	Loss: 1.3783	LR: 0.092670
Training Epoch: 1 [45824/48750]	Loss: 1.4701	LR: 0.093194
Training Epoch: 1 [46080/48750]	Loss: 1.3334	LR: 0.093717
Training Epoch: 1 [46336/48750]	Loss: 1.3533	LR: 0.094241
Training Epoch: 1 [46592/48750]	Loss: 1.4027	LR: 0.094764
Training Epoch: 1 [46848/48750]	Loss: 1.3870	LR: 0.095288
Training Epoch: 1 [47104/48750]	Loss: 1.4627	LR: 0.095812
Training Epoch: 1 [47360/48750]	Loss: 1.6143	LR: 0.096335
Training Epoch: 1 [47616/48750]	Loss: 1.3414	LR: 0.096859
Training Epoch: 1 [47872/48750]	Loss: 1.8403	LR: 0.097382
Training Epoch: 1 [48128/48750]	Loss: 1.3384	LR: 0.097906
Training Epoch: 1 [48384/48750]	Loss: 1.5132	LR: 0.098429
Training Epoch: 1 [48640/48750]	Loss: 1.4622	LR: 0.098953
Training Epoch: 1 [48750/48750]	Loss: 1.6951	LR: 0.099476
Epoch 1 - Average Train Loss: 1.7039, Train Accuracy: 0.3746
Epoch 1 training time consumed: 30.51s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0086, Accuracy: 0.4002, Time consumed:1.12s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_19h_24m_34s/ResNet18-Cifar10-seed3-ret75-1-best.pth
Training Epoch: 2 [256/48750]	Loss: 1.6202	LR: 0.100000
Training Epoch: 2 [512/48750]	Loss: 1.5434	LR: 0.100000
Training Epoch: 2 [768/48750]	Loss: 1.5322	LR: 0.100000
Training Epoch: 2 [1024/48750]	Loss: 1.4977	LR: 0.100000
Training Epoch: 2 [1280/48750]	Loss: 1.4912	LR: 0.100000
Training Epoch: 2 [1536/48750]	Loss: 1.2533	LR: 0.100000
Training Epoch: 2 [1792/48750]	Loss: 1.4230	LR: 0.100000
Training Epoch: 2 [2048/48750]	Loss: 1.4133	LR: 0.100000
Training Epoch: 2 [2304/48750]	Loss: 1.2806	LR: 0.100000
Training Epoch: 2 [2560/48750]	Loss: 1.4476	LR: 0.100000
Training Epoch: 2 [2816/48750]	Loss: 1.5016	LR: 0.100000
Training Epoch: 2 [3072/48750]	Loss: 1.4244	LR: 0.100000
Training Epoch: 2 [3328/48750]	Loss: 1.3437	LR: 0.100000
Training Epoch: 2 [3584/48750]	Loss: 1.4504	LR: 0.100000
Training Epoch: 2 [3840/48750]	Loss: 1.5208	LR: 0.100000
Training Epoch: 2 [4096/48750]	Loss: 1.3539	LR: 0.100000
Training Epoch: 2 [4352/48750]	Loss: 1.5030	LR: 0.100000
Training Epoch: 2 [4608/48750]	Loss: 1.3253	LR: 0.100000
Training Epoch: 2 [4864/48750]	Loss: 1.4140	LR: 0.100000
Training Epoch: 2 [5120/48750]	Loss: 1.3817	LR: 0.100000
Training Epoch: 2 [5376/48750]	Loss: 1.3357	LR: 0.100000
Training Epoch: 2 [5632/48750]	Loss: 1.3345	LR: 0.100000
Training Epoch: 2 [5888/48750]	Loss: 1.3473	LR: 0.100000
Training Epoch: 2 [6144/48750]	Loss: 1.3852	LR: 0.100000
Training Epoch: 2 [6400/48750]	Loss: 1.3711	LR: 0.100000
Training Epoch: 2 [6656/48750]	Loss: 1.3751	LR: 0.100000
Training Epoch: 2 [6912/48750]	Loss: 1.3408	LR: 0.100000
Training Epoch: 2 [7168/48750]	Loss: 1.3884	LR: 0.100000
Training Epoch: 2 [7424/48750]	Loss: 1.3861	LR: 0.100000
Training Epoch: 2 [7680/48750]	Loss: 1.4486	LR: 0.100000
Training Epoch: 2 [7936/48750]	Loss: 1.4524	LR: 0.100000
Training Epoch: 2 [8192/48750]	Loss: 1.3064	LR: 0.100000
Training Epoch: 2 [8448/48750]	Loss: 1.4218	LR: 0.100000
Training Epoch: 2 [8704/48750]	Loss: 1.2563	LR: 0.100000
Training Epoch: 2 [8960/48750]	Loss: 1.2748	LR: 0.100000
Training Epoch: 2 [9216/48750]	Loss: 1.3733	LR: 0.100000
Training Epoch: 2 [9472/48750]	Loss: 1.4056	LR: 0.100000
Training Epoch: 2 [9728/48750]	Loss: 1.3018	LR: 0.100000
Training Epoch: 2 [9984/48750]	Loss: 1.5451	LR: 0.100000
Training Epoch: 2 [10240/48750]	Loss: 1.3071	LR: 0.100000
Training Epoch: 2 [10496/48750]	Loss: 1.2961	LR: 0.100000
Training Epoch: 2 [10752/48750]	Loss: 1.2497	LR: 0.100000
Training Epoch: 2 [11008/48750]	Loss: 1.3379	LR: 0.100000
Training Epoch: 2 [11264/48750]	Loss: 1.3222	LR: 0.100000
Training Epoch: 2 [11520/48750]	Loss: 1.2498	LR: 0.100000
Training Epoch: 2 [11776/48750]	Loss: 1.3573	LR: 0.100000
Training Epoch: 2 [12032/48750]	Loss: 1.2085	LR: 0.100000
Training Epoch: 2 [12288/48750]	Loss: 1.3255	LR: 0.100000
Training Epoch: 2 [12544/48750]	Loss: 1.3126	LR: 0.100000
Training Epoch: 2 [12800/48750]	Loss: 1.2855	LR: 0.100000
Training Epoch: 2 [13056/48750]	Loss: 1.3300	LR: 0.100000
Training Epoch: 2 [13312/48750]	Loss: 1.3533	LR: 0.100000
Training Epoch: 2 [13568/48750]	Loss: 1.3091	LR: 0.100000
Training Epoch: 2 [13824/48750]	Loss: 1.3692	LR: 0.100000
Training Epoch: 2 [14080/48750]	Loss: 1.2819	LR: 0.100000
Training Epoch: 2 [14336/48750]	Loss: 1.3096	LR: 0.100000
Training Epoch: 2 [14592/48750]	Loss: 1.3414	LR: 0.100000
Training Epoch: 2 [14848/48750]	Loss: 1.3172	LR: 0.100000
Training Epoch: 2 [15104/48750]	Loss: 1.3451	LR: 0.100000
Training Epoch: 2 [15360/48750]	Loss: 1.3531	LR: 0.100000
Training Epoch: 2 [15616/48750]	Loss: 1.3223	LR: 0.100000
Training Epoch: 2 [15872/48750]	Loss: 1.3251	LR: 0.100000
Training Epoch: 2 [16128/48750]	Loss: 1.2462	LR: 0.100000
Training Epoch: 2 [16384/48750]	Loss: 1.2852	LR: 0.100000
Training Epoch: 2 [16640/48750]	Loss: 1.3395	LR: 0.100000
Training Epoch: 2 [16896/48750]	Loss: 1.1642	LR: 0.100000
Training Epoch: 2 [17152/48750]	Loss: 1.3193	LR: 0.100000
Training Epoch: 2 [17408/48750]	Loss: 1.3339	LR: 0.100000
Training Epoch: 2 [17664/48750]	Loss: 1.2269	LR: 0.100000
Training Epoch: 2 [17920/48750]	Loss: 1.2361	LR: 0.100000
Training Epoch: 2 [18176/48750]	Loss: 1.1930	LR: 0.100000
Training Epoch: 2 [18432/48750]	Loss: 1.2037	LR: 0.100000
Training Epoch: 2 [18688/48750]	Loss: 1.2167	LR: 0.100000
Training Epoch: 2 [18944/48750]	Loss: 1.3013	LR: 0.100000
Training Epoch: 2 [19200/48750]	Loss: 1.3097	LR: 0.100000
Training Epoch: 2 [19456/48750]	Loss: 1.1280	LR: 0.100000
Training Epoch: 2 [19712/48750]	Loss: 1.2147	LR: 0.100000
Training Epoch: 2 [19968/48750]	Loss: 1.2863	LR: 0.100000
Training Epoch: 2 [20224/48750]	Loss: 1.3124	LR: 0.100000
Training Epoch: 2 [20480/48750]	Loss: 1.1815	LR: 0.100000
Training Epoch: 2 [20736/48750]	Loss: 1.1393	LR: 0.100000
Training Epoch: 2 [20992/48750]	Loss: 1.2579	LR: 0.100000
Training Epoch: 2 [21248/48750]	Loss: 1.1376	LR: 0.100000
Training Epoch: 2 [21504/48750]	Loss: 1.2611	LR: 0.100000
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Training Epoch: 2 [48640/48750]	Loss: 1.0159	LR: 0.100000
Training Epoch: 2 [48750/48750]	Loss: 1.2082	LR: 0.100000
Epoch 2 - Average Train Loss: 1.2324, Train Accuracy: 0.5590
Epoch 2 training time consumed: 29.85s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0053, Accuracy: 0.5594, Time consumed:1.00s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_19h_24m_34s/ResNet18-Cifar10-seed3-ret75-2-best.pth
Training Epoch: 3 [256/48750]	Loss: 1.1136	LR: 0.100000
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Training Epoch: 3 [48384/48750]	Loss: 0.7291	LR: 0.100000
Training Epoch: 3 [48640/48750]	Loss: 0.8878	LR: 0.100000
Training Epoch: 3 [48750/48750]	Loss: 0.9608	LR: 0.100000
Epoch 3 - Average Train Loss: 0.9722, Train Accuracy: 0.6562
Epoch 3 training time consumed: 29.89s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0041, Accuracy: 0.6572, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_19h_24m_34s/ResNet18-Cifar10-seed3-ret75-3-best.pth
Training Epoch: 4 [256/48750]	Loss: 0.7589	LR: 0.100000
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Training Epoch: 4 [48750/48750]	Loss: 0.5610	LR: 0.100000
Epoch 4 - Average Train Loss: 0.8206, Train Accuracy: 0.7117
Epoch 4 training time consumed: 30.29s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0033, Accuracy: 0.7261, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_19h_24m_34s/ResNet18-Cifar10-seed3-ret75-4-best.pth
Training Epoch: 5 [256/48750]	Loss: 0.6947	LR: 0.100000
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Training Epoch: 5 [44288/48750]	Loss: 0.7356	LR: 0.100000
Training Epoch: 5 [44544/48750]	Loss: 0.8017	LR: 0.100000
Training Epoch: 5 [44800/48750]	Loss: 0.6870	LR: 0.100000
Training Epoch: 5 [45056/48750]	Loss: 0.5456	LR: 0.100000
Training Epoch: 5 [45312/48750]	Loss: 0.7743	LR: 0.100000
Training Epoch: 5 [45568/48750]	Loss: 0.6854	LR: 0.100000
Training Epoch: 5 [45824/48750]	Loss: 0.7476	LR: 0.100000
Training Epoch: 5 [46080/48750]	Loss: 0.7672	LR: 0.100000
Training Epoch: 5 [46336/48750]	Loss: 0.7766	LR: 0.100000
Training Epoch: 5 [46592/48750]	Loss: 0.6505	LR: 0.100000
Training Epoch: 5 [46848/48750]	Loss: 0.6246	LR: 0.100000
Training Epoch: 5 [47104/48750]	Loss: 0.6683	LR: 0.100000
Training Epoch: 5 [47360/48750]	Loss: 0.6881	LR: 0.100000
Training Epoch: 5 [47616/48750]	Loss: 0.7379	LR: 0.100000
Training Epoch: 5 [47872/48750]	Loss: 0.6756	LR: 0.100000
Training Epoch: 5 [48128/48750]	Loss: 0.7274	LR: 0.100000
Training Epoch: 5 [48384/48750]	Loss: 0.7046	LR: 0.100000
Training Epoch: 5 [48640/48750]	Loss: 0.7205	LR: 0.100000
Training Epoch: 5 [48750/48750]	Loss: 0.7173	LR: 0.100000
Epoch 5 - Average Train Loss: 0.7199, Train Accuracy: 0.7483
Epoch 5 training time consumed: 30.06s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0036, Accuracy: 0.7120, Time consumed:0.98s
Training Epoch: 6 [256/48750]	Loss: 0.6586	LR: 0.100000
Training Epoch: 6 [512/48750]	Loss: 0.7380	LR: 0.100000
Training Epoch: 6 [768/48750]	Loss: 0.8212	LR: 0.100000
Training Epoch: 6 [1024/48750]	Loss: 0.7633	LR: 0.100000
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Training Epoch: 6 [1536/48750]	Loss: 0.7373	LR: 0.100000
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Training Epoch: 6 [2560/48750]	Loss: 0.6817	LR: 0.100000
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Training Epoch: 6 [45056/48750]	Loss: 0.6845	LR: 0.100000
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Training Epoch: 6 [46336/48750]	Loss: 0.5753	LR: 0.100000
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Training Epoch: 6 [47104/48750]	Loss: 0.6317	LR: 0.100000
Training Epoch: 6 [47360/48750]	Loss: 0.6146	LR: 0.100000
Training Epoch: 6 [47616/48750]	Loss: 0.6656	LR: 0.100000
Training Epoch: 6 [47872/48750]	Loss: 0.6434	LR: 0.100000
Training Epoch: 6 [48128/48750]	Loss: 0.6586	LR: 0.100000
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Training Epoch: 6 [48640/48750]	Loss: 0.6078	LR: 0.100000
Training Epoch: 6 [48750/48750]	Loss: 0.6593	LR: 0.100000
Epoch 6 - Average Train Loss: 0.6501, Train Accuracy: 0.7730
Epoch 6 training time consumed: 30.09s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0025, Accuracy: 0.7851, Time consumed:1.08s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_19h_24m_34s/ResNet18-Cifar10-seed3-ret75-6-best.pth
Training Epoch: 7 [256/48750]	Loss: 0.5144	LR: 0.100000
Training Epoch: 7 [512/48750]	Loss: 0.4949	LR: 0.100000
Training Epoch: 7 [768/48750]	Loss: 0.6659	LR: 0.100000
Training Epoch: 7 [1024/48750]	Loss: 0.6033	LR: 0.100000
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Training Epoch: 7 [2816/48750]	Loss: 0.6226	LR: 0.100000
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Training Epoch: 7 [48750/48750]	Loss: 0.5880	LR: 0.100000
Epoch 7 - Average Train Loss: 0.5929, Train Accuracy: 0.7947
Epoch 7 training time consumed: 30.27s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0023, Accuracy: 0.8029, Time consumed:0.98s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_19h_24m_34s/ResNet18-Cifar10-seed3-ret75-7-best.pth
Training Epoch: 8 [256/48750]	Loss: 0.5351	LR: 0.020000
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Training Epoch: 8 [28672/48750]	Loss: 0.4025	LR: 0.020000
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Training Epoch: 8 [45056/48750]	Loss: 0.3865	LR: 0.020000
Training Epoch: 8 [45312/48750]	Loss: 0.3713	LR: 0.020000
Training Epoch: 8 [45568/48750]	Loss: 0.3972	LR: 0.020000
Training Epoch: 8 [45824/48750]	Loss: 0.3989	LR: 0.020000
Training Epoch: 8 [46080/48750]	Loss: 0.4304	LR: 0.020000
Training Epoch: 8 [46336/48750]	Loss: 0.4095	LR: 0.020000
Training Epoch: 8 [46592/48750]	Loss: 0.4141	LR: 0.020000
Training Epoch: 8 [46848/48750]	Loss: 0.4072	LR: 0.020000
Training Epoch: 8 [47104/48750]	Loss: 0.3584	LR: 0.020000
Training Epoch: 8 [47360/48750]	Loss: 0.4344	LR: 0.020000
Training Epoch: 8 [47616/48750]	Loss: 0.3561	LR: 0.020000
Training Epoch: 8 [47872/48750]	Loss: 0.4672	LR: 0.020000
Training Epoch: 8 [48128/48750]	Loss: 0.3811	LR: 0.020000
Training Epoch: 8 [48384/48750]	Loss: 0.4075	LR: 0.020000
Training Epoch: 8 [48640/48750]	Loss: 0.4753	LR: 0.020000
Training Epoch: 8 [48750/48750]	Loss: 0.2949	LR: 0.020000
Epoch 8 - Average Train Loss: 0.4411, Train Accuracy: 0.8474
Epoch 8 training time consumed: 30.21s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0016, Accuracy: 0.8615, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_19h_24m_34s/ResNet18-Cifar10-seed3-ret75-8-best.pth
Training Epoch: 9 [256/48750]	Loss: 0.4116	LR: 0.020000
Training Epoch: 9 [512/48750]	Loss: 0.3249	LR: 0.020000
Training Epoch: 9 [768/48750]	Loss: 0.4659	LR: 0.020000
Training Epoch: 9 [1024/48750]	Loss: 0.3119	LR: 0.020000
Training Epoch: 9 [1280/48750]	Loss: 0.4758	LR: 0.020000
Training Epoch: 9 [1536/48750]	Loss: 0.3981	LR: 0.020000
Training Epoch: 9 [1792/48750]	Loss: 0.3814	LR: 0.020000
Training Epoch: 9 [2048/48750]	Loss: 0.4369	LR: 0.020000
Training Epoch: 9 [2304/48750]	Loss: 0.4127	LR: 0.020000
Training Epoch: 9 [2560/48750]	Loss: 0.3658	LR: 0.020000
Training Epoch: 9 [2816/48750]	Loss: 0.5041	LR: 0.020000
Training Epoch: 9 [3072/48750]	Loss: 0.4370	LR: 0.020000
Training Epoch: 9 [3328/48750]	Loss: 0.4474	LR: 0.020000
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Training Epoch: 9 [3840/48750]	Loss: 0.4353	LR: 0.020000
Training Epoch: 9 [4096/48750]	Loss: 0.3674	LR: 0.020000
Training Epoch: 9 [4352/48750]	Loss: 0.3869	LR: 0.020000
Training Epoch: 9 [4608/48750]	Loss: 0.3736	LR: 0.020000
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Training Epoch: 9 [6144/48750]	Loss: 0.3301	LR: 0.020000
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Training Epoch: 9 [44288/48750]	Loss: 0.5031	LR: 0.020000
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Training Epoch: 9 [45056/48750]	Loss: 0.3611	LR: 0.020000
Training Epoch: 9 [45312/48750]	Loss: 0.4148	LR: 0.020000
Training Epoch: 9 [45568/48750]	Loss: 0.3243	LR: 0.020000
Training Epoch: 9 [45824/48750]	Loss: 0.3543	LR: 0.020000
Training Epoch: 9 [46080/48750]	Loss: 0.3479	LR: 0.020000
Training Epoch: 9 [46336/48750]	Loss: 0.3699	LR: 0.020000
Training Epoch: 9 [46592/48750]	Loss: 0.3734	LR: 0.020000
Training Epoch: 9 [46848/48750]	Loss: 0.3496	LR: 0.020000
Training Epoch: 9 [47104/48750]	Loss: 0.4870	LR: 0.020000
Training Epoch: 9 [47360/48750]	Loss: 0.4050	LR: 0.020000
Training Epoch: 9 [47616/48750]	Loss: 0.3285	LR: 0.020000
Training Epoch: 9 [47872/48750]	Loss: 0.4596	LR: 0.020000
Training Epoch: 9 [48128/48750]	Loss: 0.4069	LR: 0.020000
Training Epoch: 9 [48384/48750]	Loss: 0.3452	LR: 0.020000
Training Epoch: 9 [48640/48750]	Loss: 0.3722	LR: 0.020000
Training Epoch: 9 [48750/48750]	Loss: 0.4641	LR: 0.020000
Epoch 9 - Average Train Loss: 0.3948, Train Accuracy: 0.8612
Epoch 9 training time consumed: 30.36s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0016, Accuracy: 0.8667, Time consumed:0.98s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_19h_24m_34s/ResNet18-Cifar10-seed3-ret75-9-best.pth
Training Epoch: 10 [256/48750]	Loss: 0.3194	LR: 0.020000
Training Epoch: 10 [512/48750]	Loss: 0.4402	LR: 0.020000
Training Epoch: 10 [768/48750]	Loss: 0.4858	LR: 0.020000
Training Epoch: 10 [1024/48750]	Loss: 0.3250	LR: 0.020000
Training Epoch: 10 [1280/48750]	Loss: 0.3585	LR: 0.020000
Training Epoch: 10 [1536/48750]	Loss: 0.3225	LR: 0.020000
Training Epoch: 10 [1792/48750]	Loss: 0.3119	LR: 0.020000
Training Epoch: 10 [2048/48750]	Loss: 0.3872	LR: 0.020000
Training Epoch: 10 [2304/48750]	Loss: 0.3067	LR: 0.020000
Training Epoch: 10 [2560/48750]	Loss: 0.3946	LR: 0.020000
Training Epoch: 10 [2816/48750]	Loss: 0.3892	LR: 0.020000
Training Epoch: 10 [3072/48750]	Loss: 0.3171	LR: 0.020000
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Training Epoch: 10 [47872/48750]	Loss: 0.4158	LR: 0.020000
Training Epoch: 10 [48128/48750]	Loss: 0.2943	LR: 0.020000
Training Epoch: 10 [48384/48750]	Loss: 0.3611	LR: 0.020000
Training Epoch: 10 [48640/48750]	Loss: 0.3584	LR: 0.020000
Training Epoch: 10 [48750/48750]	Loss: 0.3107	LR: 0.020000
Epoch 10 - Average Train Loss: 0.3715, Train Accuracy: 0.8697
Epoch 10 training time consumed: 30.46s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0015, Accuracy: 0.8706, Time consumed:1.01s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_19h_24m_34s/ResNet18-Cifar10-seed3-ret75-10-best.pth
Training Epoch: 11 [256/48750]	Loss: 0.2974	LR: 0.020000
Training Epoch: 11 [512/48750]	Loss: 0.3478	LR: 0.020000
Training Epoch: 11 [768/48750]	Loss: 0.2704	LR: 0.020000
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Training Epoch: 11 [1536/48750]	Loss: 0.3507	LR: 0.020000
Training Epoch: 11 [1792/48750]	Loss: 0.3240	LR: 0.020000
Training Epoch: 11 [2048/48750]	Loss: 0.3183	LR: 0.020000
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Training Epoch: 11 [3584/48750]	Loss: 0.3368	LR: 0.020000
Training Epoch: 11 [3840/48750]	Loss: 0.3877	LR: 0.020000
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Training Epoch: 11 [5120/48750]	Loss: 0.3563	LR: 0.020000
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Training Epoch: 11 [9984/48750]	Loss: 0.3829	LR: 0.020000
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Training Epoch: 11 [10496/48750]	Loss: 0.2887	LR: 0.020000
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Training Epoch: 11 [24576/48750]	Loss: 0.3917	LR: 0.020000
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Training Epoch: 11 [27136/48750]	Loss: 0.2874	LR: 0.020000
Training Epoch: 11 [27392/48750]	Loss: 0.3545	LR: 0.020000
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Training Epoch: 11 [30720/48750]	Loss: 0.3696	LR: 0.020000
Training Epoch: 11 [30976/48750]	Loss: 0.3318	LR: 0.020000
Training Epoch: 11 [31232/48750]	Loss: 0.3390	LR: 0.020000
Training Epoch: 11 [31488/48750]	Loss: 0.3145	LR: 0.020000
Training Epoch: 11 [31744/48750]	Loss: 0.3245	LR: 0.020000
Training Epoch: 11 [32000/48750]	Loss: 0.3662	LR: 0.020000
Training Epoch: 11 [32256/48750]	Loss: 0.3956	LR: 0.020000
Training Epoch: 11 [32512/48750]	Loss: 0.2881	LR: 0.020000
Training Epoch: 11 [32768/48750]	Loss: 0.2814	LR: 0.020000
Training Epoch: 11 [33024/48750]	Loss: 0.3564	LR: 0.020000
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Training Epoch: 11 [33536/48750]	Loss: 0.3474	LR: 0.020000
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Training Epoch: 11 [43520/48750]	Loss: 0.3383	LR: 0.020000
Training Epoch: 11 [43776/48750]	Loss: 0.3234	LR: 0.020000
Training Epoch: 11 [44032/48750]	Loss: 0.3502	LR: 0.020000
Training Epoch: 11 [44288/48750]	Loss: 0.3887	LR: 0.020000
Training Epoch: 11 [44544/48750]	Loss: 0.3956	LR: 0.020000
Training Epoch: 11 [44800/48750]	Loss: 0.3426	LR: 0.020000
Training Epoch: 11 [45056/48750]	Loss: 0.4355	LR: 0.020000
Training Epoch: 11 [45312/48750]	Loss: 0.4096	LR: 0.020000
Training Epoch: 11 [45568/48750]	Loss: 0.4770	LR: 0.020000
Training Epoch: 11 [45824/48750]	Loss: 0.3370	LR: 0.020000
Training Epoch: 11 [46080/48750]	Loss: 0.3725	LR: 0.020000
Training Epoch: 11 [46336/48750]	Loss: 0.3818	LR: 0.020000
Training Epoch: 11 [46592/48750]	Loss: 0.3591	LR: 0.020000
Training Epoch: 11 [46848/48750]	Loss: 0.3036	LR: 0.020000
Training Epoch: 11 [47104/48750]	Loss: 0.3584	LR: 0.020000
Training Epoch: 11 [47360/48750]	Loss: 0.3291	LR: 0.020000
Training Epoch: 11 [47616/48750]	Loss: 0.2805	LR: 0.020000
Training Epoch: 11 [47872/48750]	Loss: 0.4460	LR: 0.020000
Training Epoch: 11 [48128/48750]	Loss: 0.4485	LR: 0.020000
Training Epoch: 11 [48384/48750]	Loss: 0.3990	LR: 0.020000
Training Epoch: 11 [48640/48750]	Loss: 0.3554	LR: 0.020000
Training Epoch: 11 [48750/48750]	Loss: 0.4329	LR: 0.020000
Epoch 11 - Average Train Loss: 0.3549, Train Accuracy: 0.8749
Epoch 11 training time consumed: 30.24s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0015, Accuracy: 0.8767, Time consumed:1.03s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_19h_24m_34s/ResNet18-Cifar10-seed3-ret75-11-best.pth
Training Epoch: 12 [256/48750]	Loss: 0.3843	LR: 0.004000
Training Epoch: 12 [512/48750]	Loss: 0.3275	LR: 0.004000
Training Epoch: 12 [768/48750]	Loss: 0.2678	LR: 0.004000
Training Epoch: 12 [1024/48750]	Loss: 0.4388	LR: 0.004000
Training Epoch: 12 [1280/48750]	Loss: 0.2983	LR: 0.004000
Training Epoch: 12 [1536/48750]	Loss: 0.3770	LR: 0.004000
Training Epoch: 12 [1792/48750]	Loss: 0.2877	LR: 0.004000
Training Epoch: 12 [2048/48750]	Loss: 0.2868	LR: 0.004000
Training Epoch: 12 [2304/48750]	Loss: 0.3516	LR: 0.004000
Training Epoch: 12 [2560/48750]	Loss: 0.3984	LR: 0.004000
Training Epoch: 12 [2816/48750]	Loss: 0.3568	LR: 0.004000
Training Epoch: 12 [3072/48750]	Loss: 0.3715	LR: 0.004000
Training Epoch: 12 [3328/48750]	Loss: 0.4083	LR: 0.004000
Training Epoch: 12 [3584/48750]	Loss: 0.3942	LR: 0.004000
Training Epoch: 12 [3840/48750]	Loss: 0.2986	LR: 0.004000
Training Epoch: 12 [4096/48750]	Loss: 0.4151	LR: 0.004000
Training Epoch: 12 [4352/48750]	Loss: 0.3157	LR: 0.004000
Training Epoch: 12 [4608/48750]	Loss: 0.2952	LR: 0.004000
Training Epoch: 12 [4864/48750]	Loss: 0.3016	LR: 0.004000
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Training Epoch: 12 [6144/48750]	Loss: 0.3376	LR: 0.004000
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Training Epoch: 12 [12032/48750]	Loss: 0.3514	LR: 0.004000
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Training Epoch: 12 [15872/48750]	Loss: 0.3483	LR: 0.004000
Training Epoch: 12 [16128/48750]	Loss: 0.3077	LR: 0.004000
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Training Epoch: 12 [16640/48750]	Loss: 0.2555	LR: 0.004000
Training Epoch: 12 [16896/48750]	Loss: 0.2340	LR: 0.004000
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Training Epoch: 12 [27904/48750]	Loss: 0.3140	LR: 0.004000
Training Epoch: 12 [28160/48750]	Loss: 0.2945	LR: 0.004000
Training Epoch: 12 [28416/48750]	Loss: 0.3284	LR: 0.004000
Training Epoch: 12 [28672/48750]	Loss: 0.2856	LR: 0.004000
Training Epoch: 12 [28928/48750]	Loss: 0.2888	LR: 0.004000
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Training Epoch: 12 [29440/48750]	Loss: 0.3359	LR: 0.004000
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Training Epoch: 12 [29952/48750]	Loss: 0.3244	LR: 0.004000
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Training Epoch: 12 [30976/48750]	Loss: 0.3228	LR: 0.004000
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Training Epoch: 12 [32256/48750]	Loss: 0.3302	LR: 0.004000
Training Epoch: 12 [32512/48750]	Loss: 0.2398	LR: 0.004000
Training Epoch: 12 [32768/48750]	Loss: 0.3356	LR: 0.004000
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Training Epoch: 12 [33536/48750]	Loss: 0.3141	LR: 0.004000
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Training Epoch: 12 [35840/48750]	Loss: 0.3620	LR: 0.004000
Training Epoch: 12 [36096/48750]	Loss: 0.3066	LR: 0.004000
Training Epoch: 12 [36352/48750]	Loss: 0.3477	LR: 0.004000
Training Epoch: 12 [36608/48750]	Loss: 0.2477	LR: 0.004000
Training Epoch: 12 [36864/48750]	Loss: 0.2833	LR: 0.004000
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Training Epoch: 12 [37376/48750]	Loss: 0.2477	LR: 0.004000
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Training Epoch: 12 [37888/48750]	Loss: 0.3302	LR: 0.004000
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Training Epoch: 12 [38400/48750]	Loss: 0.2801	LR: 0.004000
Training Epoch: 12 [38656/48750]	Loss: 0.2806	LR: 0.004000
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Training Epoch: 12 [40192/48750]	Loss: 0.2905	LR: 0.004000
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Training Epoch: 12 [43776/48750]	Loss: 0.2833	LR: 0.004000
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Training Epoch: 12 [44288/48750]	Loss: 0.3411	LR: 0.004000
Training Epoch: 12 [44544/48750]	Loss: 0.3316	LR: 0.004000
Training Epoch: 12 [44800/48750]	Loss: 0.3190	LR: 0.004000
Training Epoch: 12 [45056/48750]	Loss: 0.3077	LR: 0.004000
Training Epoch: 12 [45312/48750]	Loss: 0.3687	LR: 0.004000
Training Epoch: 12 [45568/48750]	Loss: 0.2689	LR: 0.004000
Training Epoch: 12 [45824/48750]	Loss: 0.3149	LR: 0.004000
Training Epoch: 12 [46080/48750]	Loss: 0.3224	LR: 0.004000
Training Epoch: 12 [46336/48750]	Loss: 0.3183	LR: 0.004000
Training Epoch: 12 [46592/48750]	Loss: 0.2504	LR: 0.004000
Training Epoch: 12 [46848/48750]	Loss: 0.2906	LR: 0.004000
Training Epoch: 12 [47104/48750]	Loss: 0.3320	LR: 0.004000
Training Epoch: 12 [47360/48750]	Loss: 0.3516	LR: 0.004000
Training Epoch: 12 [47616/48750]	Loss: 0.2907	LR: 0.004000
Training Epoch: 12 [47872/48750]	Loss: 0.2859	LR: 0.004000
Training Epoch: 12 [48128/48750]	Loss: 0.3748	LR: 0.004000
Training Epoch: 12 [48384/48750]	Loss: 0.2476	LR: 0.004000
Training Epoch: 12 [48640/48750]	Loss: 0.3526	LR: 0.004000
Training Epoch: 12 [48750/48750]	Loss: 0.2868	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3096, Train Accuracy: 0.8926
Epoch 12 training time consumed: 30.02s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0014, Accuracy: 0.8834, Time consumed:0.99s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_19h_24m_34s/ResNet18-Cifar10-seed3-ret75-12-best.pth
Training Epoch: 13 [256/48750]	Loss: 0.2345	LR: 0.004000
Training Epoch: 13 [512/48750]	Loss: 0.2535	LR: 0.004000
Training Epoch: 13 [768/48750]	Loss: 0.2135	LR: 0.004000
Training Epoch: 13 [1024/48750]	Loss: 0.3149	LR: 0.004000
Training Epoch: 13 [1280/48750]	Loss: 0.2814	LR: 0.004000
Training Epoch: 13 [1536/48750]	Loss: 0.2662	LR: 0.004000
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Training Epoch: 13 [46336/48750]	Loss: 0.2642	LR: 0.004000
Training Epoch: 13 [46592/48750]	Loss: 0.2812	LR: 0.004000
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Training Epoch: 13 [47104/48750]	Loss: 0.3733	LR: 0.004000
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Training Epoch: 13 [47616/48750]	Loss: 0.3087	LR: 0.004000
Training Epoch: 13 [47872/48750]	Loss: 0.2972	LR: 0.004000
Training Epoch: 13 [48128/48750]	Loss: 0.2820	LR: 0.004000
Training Epoch: 13 [48384/48750]	Loss: 0.2550	LR: 0.004000
Training Epoch: 13 [48640/48750]	Loss: 0.3333	LR: 0.004000
Training Epoch: 13 [48750/48750]	Loss: 0.2329	LR: 0.004000
Epoch 13 - Average Train Loss: 0.2980, Train Accuracy: 0.8965
Epoch 13 training time consumed: 30.19s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0013, Accuracy: 0.8872, Time consumed:1.06s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_19h_24m_34s/ResNet18-Cifar10-seed3-ret75-13-best.pth
Training Epoch: 14 [256/48750]	Loss: 0.2619	LR: 0.004000
Training Epoch: 14 [512/48750]	Loss: 0.3045	LR: 0.004000
Training Epoch: 14 [768/48750]	Loss: 0.2950	LR: 0.004000
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Training Epoch: 14 [1280/48750]	Loss: 0.2871	LR: 0.004000
Training Epoch: 14 [1536/48750]	Loss: 0.3266	LR: 0.004000
Training Epoch: 14 [1792/48750]	Loss: 0.2511	LR: 0.004000
Training Epoch: 14 [2048/48750]	Loss: 0.3320	LR: 0.004000
Training Epoch: 14 [2304/48750]	Loss: 0.2848	LR: 0.004000
Training Epoch: 14 [2560/48750]	Loss: 0.3310	LR: 0.004000
Training Epoch: 14 [2816/48750]	Loss: 0.2740	LR: 0.004000
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Training Epoch: 14 [3840/48750]	Loss: 0.3116	LR: 0.004000
Training Epoch: 14 [4096/48750]	Loss: 0.2519	LR: 0.004000
Training Epoch: 14 [4352/48750]	Loss: 0.2834	LR: 0.004000
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Training Epoch: 14 [5120/48750]	Loss: 0.2994	LR: 0.004000
Training Epoch: 14 [5376/48750]	Loss: 0.2554	LR: 0.004000
Training Epoch: 14 [5632/48750]	Loss: 0.2907	LR: 0.004000
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Training Epoch: 14 [25600/48750]	Loss: 0.3166	LR: 0.004000
Training Epoch: 14 [25856/48750]	Loss: 0.2769	LR: 0.004000
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Training Epoch: 14 [32512/48750]	Loss: 0.3538	LR: 0.004000
Training Epoch: 14 [32768/48750]	Loss: 0.2944	LR: 0.004000
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Training Epoch: 14 [43008/48750]	Loss: 0.3561	LR: 0.004000
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Training Epoch: 14 [43776/48750]	Loss: 0.3227	LR: 0.004000
Training Epoch: 14 [44032/48750]	Loss: 0.2201	LR: 0.004000
Training Epoch: 14 [44288/48750]	Loss: 0.3846	LR: 0.004000
Training Epoch: 14 [44544/48750]	Loss: 0.2716	LR: 0.004000
Training Epoch: 14 [44800/48750]	Loss: 0.3057	LR: 0.004000
Training Epoch: 14 [45056/48750]	Loss: 0.3253	LR: 0.004000
Training Epoch: 14 [45312/48750]	Loss: 0.2370	LR: 0.004000
Training Epoch: 14 [45568/48750]	Loss: 0.1862	LR: 0.004000
Training Epoch: 14 [45824/48750]	Loss: 0.2445	LR: 0.004000
Training Epoch: 14 [46080/48750]	Loss: 0.2773	LR: 0.004000
Training Epoch: 14 [46336/48750]	Loss: 0.3365	LR: 0.004000
Training Epoch: 14 [46592/48750]	Loss: 0.2695	LR: 0.004000
Training Epoch: 14 [46848/48750]	Loss: 0.3106	LR: 0.004000
Training Epoch: 14 [47104/48750]	Loss: 0.3503	LR: 0.004000
Training Epoch: 14 [47360/48750]	Loss: 0.2586	LR: 0.004000
Training Epoch: 14 [47616/48750]	Loss: 0.3131	LR: 0.004000
Training Epoch: 14 [47872/48750]	Loss: 0.2803	LR: 0.004000
Training Epoch: 14 [48128/48750]	Loss: 0.3065	LR: 0.004000
Training Epoch: 14 [48384/48750]	Loss: 0.3222	LR: 0.004000
Training Epoch: 14 [48640/48750]	Loss: 0.2914	LR: 0.004000
Training Epoch: 14 [48750/48750]	Loss: 0.3759	LR: 0.004000
Epoch 14 - Average Train Loss: 0.2895, Train Accuracy: 0.8987
Epoch 14 training time consumed: 30.39s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0013, Accuracy: 0.8879, Time consumed:0.99s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_19h_24m_34s/ResNet18-Cifar10-seed3-ret75-14-best.pth
Training Epoch: 15 [256/48750]	Loss: 0.1676	LR: 0.004000
Training Epoch: 15 [512/48750]	Loss: 0.3534	LR: 0.004000
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Training Epoch: 15 [1536/48750]	Loss: 0.2565	LR: 0.004000
Training Epoch: 15 [1792/48750]	Loss: 0.2656	LR: 0.004000
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Training Epoch: 15 [26112/48750]	Loss: 0.3261	LR: 0.004000
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Training Epoch: 15 [37888/48750]	Loss: 0.1625	LR: 0.004000
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Training Epoch: 15 [40192/48750]	Loss: 0.2509	LR: 0.004000
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Training Epoch: 15 [46080/48750]	Loss: 0.2863	LR: 0.004000
Training Epoch: 15 [46336/48750]	Loss: 0.3232	LR: 0.004000
Training Epoch: 15 [46592/48750]	Loss: 0.2790	LR: 0.004000
Training Epoch: 15 [46848/48750]	Loss: 0.2657	LR: 0.004000
Training Epoch: 15 [47104/48750]	Loss: 0.2543	LR: 0.004000
Training Epoch: 15 [47360/48750]	Loss: 0.2553	LR: 0.004000
Training Epoch: 15 [47616/48750]	Loss: 0.2243	LR: 0.004000
Training Epoch: 15 [47872/48750]	Loss: 0.3701	LR: 0.004000
Training Epoch: 15 [48128/48750]	Loss: 0.2240	LR: 0.004000
Training Epoch: 15 [48384/48750]	Loss: 0.2908	LR: 0.004000
Training Epoch: 15 [48640/48750]	Loss: 0.3059	LR: 0.004000
Training Epoch: 15 [48750/48750]	Loss: 0.1987	LR: 0.004000
Epoch 15 - Average Train Loss: 0.2826, Train Accuracy: 0.8994
Epoch 15 training time consumed: 30.20s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0013, Accuracy: 0.8883, Time consumed:0.99s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_19h_24m_34s/ResNet18-Cifar10-seed3-ret75-15-best.pth
Training Epoch: 16 [256/48750]	Loss: 0.2929	LR: 0.000800
Training Epoch: 16 [512/48750]	Loss: 0.1961	LR: 0.000800
Training Epoch: 16 [768/48750]	Loss: 0.2605	LR: 0.000800
Training Epoch: 16 [1024/48750]	Loss: 0.2734	LR: 0.000800
Training Epoch: 16 [1280/48750]	Loss: 0.3022	LR: 0.000800
Training Epoch: 16 [1536/48750]	Loss: 0.2786	LR: 0.000800
Training Epoch: 16 [1792/48750]	Loss: 0.2318	LR: 0.000800
Training Epoch: 16 [2048/48750]	Loss: 0.2554	LR: 0.000800
Training Epoch: 16 [2304/48750]	Loss: 0.3326	LR: 0.000800
Training Epoch: 16 [2560/48750]	Loss: 0.2678	LR: 0.000800
Training Epoch: 16 [2816/48750]	Loss: 0.1944	LR: 0.000800
Training Epoch: 16 [3072/48750]	Loss: 0.2510	LR: 0.000800
Training Epoch: 16 [3328/48750]	Loss: 0.2573	LR: 0.000800
Training Epoch: 16 [3584/48750]	Loss: 0.2130	LR: 0.000800
Training Epoch: 16 [3840/48750]	Loss: 0.2107	LR: 0.000800
Training Epoch: 16 [4096/48750]	Loss: 0.3087	LR: 0.000800
Training Epoch: 16 [4352/48750]	Loss: 0.2845	LR: 0.000800
Training Epoch: 16 [4608/48750]	Loss: 0.3267	LR: 0.000800
Training Epoch: 16 [4864/48750]	Loss: 0.3621	LR: 0.000800
Training Epoch: 16 [5120/48750]	Loss: 0.2729	LR: 0.000800
Training Epoch: 16 [5376/48750]	Loss: 0.2877	LR: 0.000800
Training Epoch: 16 [5632/48750]	Loss: 0.2962	LR: 0.000800
Training Epoch: 16 [5888/48750]	Loss: 0.3675	LR: 0.000800
Training Epoch: 16 [6144/48750]	Loss: 0.1922	LR: 0.000800
Training Epoch: 16 [6400/48750]	Loss: 0.1781	LR: 0.000800
Training Epoch: 16 [6656/48750]	Loss: 0.2685	LR: 0.000800
Training Epoch: 16 [6912/48750]	Loss: 0.2454	LR: 0.000800
Training Epoch: 16 [7168/48750]	Loss: 0.2639	LR: 0.000800
Training Epoch: 16 [7424/48750]	Loss: 0.2297	LR: 0.000800
Training Epoch: 16 [7680/48750]	Loss: 0.3377	LR: 0.000800
Training Epoch: 16 [7936/48750]	Loss: 0.2086	LR: 0.000800
Training Epoch: 16 [8192/48750]	Loss: 0.2381	LR: 0.000800
Training Epoch: 16 [8448/48750]	Loss: 0.2952	LR: 0.000800
Training Epoch: 16 [8704/48750]	Loss: 0.2583	LR: 0.000800
Training Epoch: 16 [8960/48750]	Loss: 0.3093	LR: 0.000800
Training Epoch: 16 [9216/48750]	Loss: 0.3744	LR: 0.000800
Training Epoch: 16 [9472/48750]	Loss: 0.2707	LR: 0.000800
Training Epoch: 16 [9728/48750]	Loss: 0.2243	LR: 0.000800
Training Epoch: 16 [9984/48750]	Loss: 0.2139	LR: 0.000800
Training Epoch: 16 [10240/48750]	Loss: 0.3174	LR: 0.000800
Training Epoch: 16 [10496/48750]	Loss: 0.2940	LR: 0.000800
Training Epoch: 16 [10752/48750]	Loss: 0.2105	LR: 0.000800
Training Epoch: 16 [11008/48750]	Loss: 0.2996	LR: 0.000800
Training Epoch: 16 [11264/48750]	Loss: 0.2675	LR: 0.000800
Training Epoch: 16 [11520/48750]	Loss: 0.2890	LR: 0.000800
Training Epoch: 16 [11776/48750]	Loss: 0.2393	LR: 0.000800
Training Epoch: 16 [12032/48750]	Loss: 0.2122	LR: 0.000800
Training Epoch: 16 [12288/48750]	Loss: 0.2554	LR: 0.000800
Training Epoch: 16 [12544/48750]	Loss: 0.2764	LR: 0.000800
Training Epoch: 16 [12800/48750]	Loss: 0.3397	LR: 0.000800
Training Epoch: 16 [13056/48750]	Loss: 0.2732	LR: 0.000800
Training Epoch: 16 [13312/48750]	Loss: 0.2390	LR: 0.000800
Training Epoch: 16 [13568/48750]	Loss: 0.3255	LR: 0.000800
Training Epoch: 16 [13824/48750]	Loss: 0.2732	LR: 0.000800
Training Epoch: 16 [14080/48750]	Loss: 0.2873	LR: 0.000800
Training Epoch: 16 [14336/48750]	Loss: 0.2929	LR: 0.000800
Training Epoch: 16 [14592/48750]	Loss: 0.2190	LR: 0.000800
Training Epoch: 16 [14848/48750]	Loss: 0.2957	LR: 0.000800
Training Epoch: 16 [15104/48750]	Loss: 0.2521	LR: 0.000800
Training Epoch: 16 [15360/48750]	Loss: 0.3169	LR: 0.000800
Training Epoch: 16 [15616/48750]	Loss: 0.2663	LR: 0.000800
Training Epoch: 16 [15872/48750]	Loss: 0.3316	LR: 0.000800
Training Epoch: 16 [16128/48750]	Loss: 0.2831	LR: 0.000800
Training Epoch: 16 [16384/48750]	Loss: 0.2394	LR: 0.000800
Training Epoch: 16 [16640/48750]	Loss: 0.2748	LR: 0.000800
Training Epoch: 16 [16896/48750]	Loss: 0.2633	LR: 0.000800
Training Epoch: 16 [17152/48750]	Loss: 0.2357	LR: 0.000800
Training Epoch: 16 [17408/48750]	Loss: 0.3039	LR: 0.000800
Training Epoch: 16 [17664/48750]	Loss: 0.3196	LR: 0.000800
Training Epoch: 16 [17920/48750]	Loss: 0.1969	LR: 0.000800
Training Epoch: 16 [18176/48750]	Loss: 0.1935	LR: 0.000800
Training Epoch: 16 [18432/48750]	Loss: 0.2815	LR: 0.000800
Training Epoch: 16 [18688/48750]	Loss: 0.2501	LR: 0.000800
Training Epoch: 16 [18944/48750]	Loss: 0.2776	LR: 0.000800
Training Epoch: 16 [19200/48750]	Loss: 0.2401	LR: 0.000800
Training Epoch: 16 [19456/48750]	Loss: 0.2589	LR: 0.000800
Training Epoch: 16 [19712/48750]	Loss: 0.2589	LR: 0.000800
Training Epoch: 16 [19968/48750]	Loss: 0.2421	LR: 0.000800
Training Epoch: 16 [20224/48750]	Loss: 0.3537	LR: 0.000800
Training Epoch: 16 [20480/48750]	Loss: 0.2271	LR: 0.000800
Training Epoch: 16 [20736/48750]	Loss: 0.1829	LR: 0.000800
Training Epoch: 16 [20992/48750]	Loss: 0.2608	LR: 0.000800
Training Epoch: 16 [21248/48750]	Loss: 0.2087	LR: 0.000800
Training Epoch: 16 [21504/48750]	Loss: 0.2576	LR: 0.000800
Training Epoch: 16 [21760/48750]	Loss: 0.2531	LR: 0.000800
Training Epoch: 16 [22016/48750]	Loss: 0.2431	LR: 0.000800
Training Epoch: 16 [22272/48750]	Loss: 0.2750	LR: 0.000800
Training Epoch: 16 [22528/48750]	Loss: 0.3168	LR: 0.000800
Training Epoch: 16 [22784/48750]	Loss: 0.2750	LR: 0.000800
Training Epoch: 16 [23040/48750]	Loss: 0.2742	LR: 0.000800
Training Epoch: 16 [23296/48750]	Loss: 0.2028	LR: 0.000800
Training Epoch: 16 [23552/48750]	Loss: 0.1764	LR: 0.000800
Training Epoch: 16 [23808/48750]	Loss: 0.2852	LR: 0.000800
Training Epoch: 16 [24064/48750]	Loss: 0.3359	LR: 0.000800
Training Epoch: 16 [24320/48750]	Loss: 0.2728	LR: 0.000800
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Training Epoch: 16 [24832/48750]	Loss: 0.3087	LR: 0.000800
Training Epoch: 16 [25088/48750]	Loss: 0.2678	LR: 0.000800
Training Epoch: 16 [25344/48750]	Loss: 0.2039	LR: 0.000800
Training Epoch: 16 [25600/48750]	Loss: 0.2252	LR: 0.000800
Training Epoch: 16 [25856/48750]	Loss: 0.3131	LR: 0.000800
Training Epoch: 16 [26112/48750]	Loss: 0.2979	LR: 0.000800
Training Epoch: 16 [26368/48750]	Loss: 0.2474	LR: 0.000800
Training Epoch: 16 [26624/48750]	Loss: 0.2867	LR: 0.000800
Training Epoch: 16 [26880/48750]	Loss: 0.3216	LR: 0.000800
Training Epoch: 16 [27136/48750]	Loss: 0.2632	LR: 0.000800
Training Epoch: 16 [27392/48750]	Loss: 0.2284	LR: 0.000800
Training Epoch: 16 [27648/48750]	Loss: 0.2554	LR: 0.000800
Training Epoch: 16 [27904/48750]	Loss: 0.3289	LR: 0.000800
Training Epoch: 16 [28160/48750]	Loss: 0.3289	LR: 0.000800
Training Epoch: 16 [28416/48750]	Loss: 0.2746	LR: 0.000800
Training Epoch: 16 [28672/48750]	Loss: 0.2565	LR: 0.000800
Training Epoch: 16 [28928/48750]	Loss: 0.2510	LR: 0.000800
Training Epoch: 16 [29184/48750]	Loss: 0.2657	LR: 0.000800
Training Epoch: 16 [29440/48750]	Loss: 0.2797	LR: 0.000800
Training Epoch: 16 [29696/48750]	Loss: 0.2382	LR: 0.000800
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Training Epoch: 16 [30208/48750]	Loss: 0.2944	LR: 0.000800
Training Epoch: 16 [30464/48750]	Loss: 0.3700	LR: 0.000800
Training Epoch: 16 [30720/48750]	Loss: 0.3394	LR: 0.000800
Training Epoch: 16 [30976/48750]	Loss: 0.2531	LR: 0.000800
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Training Epoch: 16 [32256/48750]	Loss: 0.2435	LR: 0.000800
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Training Epoch: 16 [32768/48750]	Loss: 0.2032	LR: 0.000800
Training Epoch: 16 [33024/48750]	Loss: 0.2620	LR: 0.000800
Training Epoch: 16 [33280/48750]	Loss: 0.2557	LR: 0.000800
Training Epoch: 16 [33536/48750]	Loss: 0.3567	LR: 0.000800
Training Epoch: 16 [33792/48750]	Loss: 0.2151	LR: 0.000800
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Training Epoch: 16 [34560/48750]	Loss: 0.2353	LR: 0.000800
Training Epoch: 16 [34816/48750]	Loss: 0.2767	LR: 0.000800
Training Epoch: 16 [35072/48750]	Loss: 0.2107	LR: 0.000800
Training Epoch: 16 [35328/48750]	Loss: 0.2917	LR: 0.000800
Training Epoch: 16 [35584/48750]	Loss: 0.2651	LR: 0.000800
Training Epoch: 16 [35840/48750]	Loss: 0.3793	LR: 0.000800
Training Epoch: 16 [36096/48750]	Loss: 0.2767	LR: 0.000800
Training Epoch: 16 [36352/48750]	Loss: 0.3182	LR: 0.000800
Training Epoch: 16 [36608/48750]	Loss: 0.2565	LR: 0.000800
Training Epoch: 16 [36864/48750]	Loss: 0.2673	LR: 0.000800
Training Epoch: 16 [37120/48750]	Loss: 0.2719	LR: 0.000800
Training Epoch: 16 [37376/48750]	Loss: 0.2612	LR: 0.000800
Training Epoch: 16 [37632/48750]	Loss: 0.2422	LR: 0.000800
Training Epoch: 16 [37888/48750]	Loss: 0.2157	LR: 0.000800
Training Epoch: 16 [38144/48750]	Loss: 0.3208	LR: 0.000800
Training Epoch: 16 [38400/48750]	Loss: 0.2369	LR: 0.000800
Training Epoch: 16 [38656/48750]	Loss: 0.3023	LR: 0.000800
Training Epoch: 16 [38912/48750]	Loss: 0.2466	LR: 0.000800
Training Epoch: 16 [39168/48750]	Loss: 0.2552	LR: 0.000800
Training Epoch: 16 [39424/48750]	Loss: 0.2769	LR: 0.000800
Training Epoch: 16 [39680/48750]	Loss: 0.2419	LR: 0.000800
Training Epoch: 16 [39936/48750]	Loss: 0.2643	LR: 0.000800
Training Epoch: 16 [40192/48750]	Loss: 0.2056	LR: 0.000800
Training Epoch: 16 [40448/48750]	Loss: 0.2513	LR: 0.000800
Training Epoch: 16 [40704/48750]	Loss: 0.2493	LR: 0.000800
Training Epoch: 16 [40960/48750]	Loss: 0.2021	LR: 0.000800
Training Epoch: 16 [41216/48750]	Loss: 0.2575	LR: 0.000800
Training Epoch: 16 [41472/48750]	Loss: 0.3154	LR: 0.000800
Training Epoch: 16 [41728/48750]	Loss: 0.2811	LR: 0.000800
Training Epoch: 16 [41984/48750]	Loss: 0.2562	LR: 0.000800
Training Epoch: 16 [42240/48750]	Loss: 0.2517	LR: 0.000800
Training Epoch: 16 [42496/48750]	Loss: 0.2661	LR: 0.000800
Training Epoch: 16 [42752/48750]	Loss: 0.2391	LR: 0.000800
Training Epoch: 16 [43008/48750]	Loss: 0.2432	LR: 0.000800
Training Epoch: 16 [43264/48750]	Loss: 0.2871	LR: 0.000800
Training Epoch: 16 [43520/48750]	Loss: 0.2774	LR: 0.000800
Training Epoch: 16 [43776/48750]	Loss: 0.2126	LR: 0.000800
Training Epoch: 16 [44032/48750]	Loss: 0.2820	LR: 0.000800
Training Epoch: 16 [44288/48750]	Loss: 0.2794	LR: 0.000800
Training Epoch: 16 [44544/48750]	Loss: 0.2098	LR: 0.000800
Training Epoch: 16 [44800/48750]	Loss: 0.2617	LR: 0.000800
Training Epoch: 16 [45056/48750]	Loss: 0.2677	LR: 0.000800
Training Epoch: 16 [45312/48750]	Loss: 0.2301	LR: 0.000800
Training Epoch: 16 [45568/48750]	Loss: 0.2340	LR: 0.000800
Training Epoch: 16 [45824/48750]	Loss: 0.2704	LR: 0.000800
Training Epoch: 16 [46080/48750]	Loss: 0.3782	LR: 0.000800
Training Epoch: 16 [46336/48750]	Loss: 0.3262	LR: 0.000800
Training Epoch: 16 [46592/48750]	Loss: 0.3282	LR: 0.000800
Training Epoch: 16 [46848/48750]	Loss: 0.2350	LR: 0.000800
Training Epoch: 16 [47104/48750]	Loss: 0.3659	LR: 0.000800
Training Epoch: 16 [47360/48750]	Loss: 0.2740	LR: 0.000800
Training Epoch: 16 [47616/48750]	Loss: 0.3426	LR: 0.000800
Training Epoch: 16 [47872/48750]	Loss: 0.3262	LR: 0.000800
Training Epoch: 16 [48128/48750]	Loss: 0.1614	LR: 0.000800
Training Epoch: 16 [48384/48750]	Loss: 0.2524	LR: 0.000800
Training Epoch: 16 [48640/48750]	Loss: 0.2454	LR: 0.000800
Training Epoch: 16 [48750/48750]	Loss: 0.3180	LR: 0.000800
Epoch 16 - Average Train Loss: 0.2681, Train Accuracy: 0.9066
Epoch 16 training time consumed: 30.15s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0013, Accuracy: 0.8907, Time consumed:0.99s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_19h_24m_34s/ResNet18-Cifar10-seed3-ret75-16-best.pth
Training Epoch: 17 [256/48750]	Loss: 0.3308	LR: 0.000800
Training Epoch: 17 [512/48750]	Loss: 0.3021	LR: 0.000800
Training Epoch: 17 [768/48750]	Loss: 0.2322	LR: 0.000800
Training Epoch: 17 [1024/48750]	Loss: 0.2995	LR: 0.000800
Training Epoch: 17 [1280/48750]	Loss: 0.2762	LR: 0.000800
Training Epoch: 17 [1536/48750]	Loss: 0.2566	LR: 0.000800
Training Epoch: 17 [1792/48750]	Loss: 0.3185	LR: 0.000800
Training Epoch: 17 [2048/48750]	Loss: 0.3177	LR: 0.000800
Training Epoch: 17 [2304/48750]	Loss: 0.2872	LR: 0.000800
Training Epoch: 17 [2560/48750]	Loss: 0.2262	LR: 0.000800
Training Epoch: 17 [2816/48750]	Loss: 0.2450	LR: 0.000800
Training Epoch: 17 [3072/48750]	Loss: 0.2262	LR: 0.000800
Training Epoch: 17 [3328/48750]	Loss: 0.3625	LR: 0.000800
Training Epoch: 17 [3584/48750]	Loss: 0.3004	LR: 0.000800
Training Epoch: 17 [3840/48750]	Loss: 0.2485	LR: 0.000800
Training Epoch: 17 [4096/48750]	Loss: 0.2340	LR: 0.000800
Training Epoch: 17 [4352/48750]	Loss: 0.2327	LR: 0.000800
Training Epoch: 17 [4608/48750]	Loss: 0.2426	LR: 0.000800
Training Epoch: 17 [4864/48750]	Loss: 0.2166	LR: 0.000800
Training Epoch: 17 [5120/48750]	Loss: 0.2118	LR: 0.000800
Training Epoch: 17 [5376/48750]	Loss: 0.2901	LR: 0.000800
Training Epoch: 17 [5632/48750]	Loss: 0.3172	LR: 0.000800
Training Epoch: 17 [5888/48750]	Loss: 0.2229	LR: 0.000800
Training Epoch: 17 [6144/48750]	Loss: 0.2551	LR: 0.000800
Training Epoch: 17 [6400/48750]	Loss: 0.2199	LR: 0.000800
Training Epoch: 17 [6656/48750]	Loss: 0.2650	LR: 0.000800
Training Epoch: 17 [6912/48750]	Loss: 0.2997	LR: 0.000800
Training Epoch: 17 [7168/48750]	Loss: 0.2560	LR: 0.000800
Training Epoch: 17 [7424/48750]	Loss: 0.2951	LR: 0.000800
Training Epoch: 17 [7680/48750]	Loss: 0.3188	LR: 0.000800
Training Epoch: 17 [7936/48750]	Loss: 0.1812	LR: 0.000800
Training Epoch: 17 [8192/48750]	Loss: 0.2103	LR: 0.000800
Training Epoch: 17 [8448/48750]	Loss: 0.2520	LR: 0.000800
Training Epoch: 17 [8704/48750]	Loss: 0.2726	LR: 0.000800
Training Epoch: 17 [8960/48750]	Loss: 0.3318	LR: 0.000800
Training Epoch: 17 [9216/48750]	Loss: 0.2272	LR: 0.000800
Training Epoch: 17 [9472/48750]	Loss: 0.2689	LR: 0.000800
Training Epoch: 17 [9728/48750]	Loss: 0.2140	LR: 0.000800
Training Epoch: 17 [9984/48750]	Loss: 0.2111	LR: 0.000800
Training Epoch: 17 [10240/48750]	Loss: 0.2286	LR: 0.000800
Training Epoch: 17 [10496/48750]	Loss: 0.2034	LR: 0.000800
Training Epoch: 17 [10752/48750]	Loss: 0.2817	LR: 0.000800
Training Epoch: 17 [11008/48750]	Loss: 0.2578	LR: 0.000800
Training Epoch: 17 [11264/48750]	Loss: 0.3198	LR: 0.000800
Training Epoch: 17 [11520/48750]	Loss: 0.2908	LR: 0.000800
Training Epoch: 17 [11776/48750]	Loss: 0.2977	LR: 0.000800
Training Epoch: 17 [12032/48750]	Loss: 0.2634	LR: 0.000800
Training Epoch: 17 [12288/48750]	Loss: 0.2865	LR: 0.000800
Training Epoch: 17 [12544/48750]	Loss: 0.2094	LR: 0.000800
Training Epoch: 17 [12800/48750]	Loss: 0.3617	LR: 0.000800
Training Epoch: 17 [13056/48750]	Loss: 0.2374	LR: 0.000800
Training Epoch: 17 [13312/48750]	Loss: 0.2340	LR: 0.000800
Training Epoch: 17 [13568/48750]	Loss: 0.2818	LR: 0.000800
Training Epoch: 17 [13824/48750]	Loss: 0.2276	LR: 0.000800
Training Epoch: 17 [14080/48750]	Loss: 0.2011	LR: 0.000800
Training Epoch: 17 [14336/48750]	Loss: 0.2471	LR: 0.000800
Training Epoch: 17 [14592/48750]	Loss: 0.2919	LR: 0.000800
Training Epoch: 17 [14848/48750]	Loss: 0.2228	LR: 0.000800
Training Epoch: 17 [15104/48750]	Loss: 0.2306	LR: 0.000800
Training Epoch: 17 [15360/48750]	Loss: 0.2413	LR: 0.000800
Training Epoch: 17 [15616/48750]	Loss: 0.2537	LR: 0.000800
Training Epoch: 17 [15872/48750]	Loss: 0.2790	LR: 0.000800
Training Epoch: 17 [16128/48750]	Loss: 0.2678	LR: 0.000800
Training Epoch: 17 [16384/48750]	Loss: 0.2385	LR: 0.000800
Training Epoch: 17 [16640/48750]	Loss: 0.3139	LR: 0.000800
Training Epoch: 17 [16896/48750]	Loss: 0.2582	LR: 0.000800
Training Epoch: 17 [17152/48750]	Loss: 0.1837	LR: 0.000800
Training Epoch: 17 [17408/48750]	Loss: 0.3125	LR: 0.000800
Training Epoch: 17 [17664/48750]	Loss: 0.2549	LR: 0.000800
Training Epoch: 17 [17920/48750]	Loss: 0.2801	LR: 0.000800
Training Epoch: 17 [18176/48750]	Loss: 0.2387	LR: 0.000800
Training Epoch: 17 [18432/48750]	Loss: 0.2601	LR: 0.000800
Training Epoch: 17 [18688/48750]	Loss: 0.2762	LR: 0.000800
Training Epoch: 17 [18944/48750]	Loss: 0.2134	LR: 0.000800
Training Epoch: 17 [19200/48750]	Loss: 0.2488	LR: 0.000800
Training Epoch: 17 [19456/48750]	Loss: 0.2895	LR: 0.000800
Training Epoch: 17 [19712/48750]	Loss: 0.3060	LR: 0.000800
Training Epoch: 17 [19968/48750]	Loss: 0.2134	LR: 0.000800
Training Epoch: 17 [20224/48750]	Loss: 0.3218	LR: 0.000800
Training Epoch: 17 [20480/48750]	Loss: 0.2963	LR: 0.000800
Training Epoch: 17 [20736/48750]	Loss: 0.3048	LR: 0.000800
Training Epoch: 17 [20992/48750]	Loss: 0.2291	LR: 0.000800
Training Epoch: 17 [21248/48750]	Loss: 0.3132	LR: 0.000800
Training Epoch: 17 [21504/48750]	Loss: 0.2149	LR: 0.000800
Training Epoch: 17 [21760/48750]	Loss: 0.2420	LR: 0.000800
Training Epoch: 17 [22016/48750]	Loss: 0.2639	LR: 0.000800
Training Epoch: 17 [22272/48750]	Loss: 0.2637	LR: 0.000800
Training Epoch: 17 [22528/48750]	Loss: 0.2706	LR: 0.000800
Training Epoch: 17 [22784/48750]	Loss: 0.2561	LR: 0.000800
Training Epoch: 17 [23040/48750]	Loss: 0.2633	LR: 0.000800
Training Epoch: 17 [23296/48750]	Loss: 0.2520	LR: 0.000800
Training Epoch: 17 [23552/48750]	Loss: 0.2698	LR: 0.000800
Training Epoch: 17 [23808/48750]	Loss: 0.3269	LR: 0.000800
Training Epoch: 17 [24064/48750]	Loss: 0.2657	LR: 0.000800
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Training Epoch: 17 [36352/48750]	Loss: 0.2611	LR: 0.000800
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Training Epoch: 17 [42240/48750]	Loss: 0.2411	LR: 0.000800
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Training Epoch: 17 [43520/48750]	Loss: 0.2651	LR: 0.000800
Training Epoch: 17 [43776/48750]	Loss: 0.2388	LR: 0.000800
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Training Epoch: 17 [44288/48750]	Loss: 0.2381	LR: 0.000800
Training Epoch: 17 [44544/48750]	Loss: 0.1864	LR: 0.000800
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Training Epoch: 17 [45056/48750]	Loss: 0.3200	LR: 0.000800
Training Epoch: 17 [45312/48750]	Loss: 0.2443	LR: 0.000800
Training Epoch: 17 [45568/48750]	Loss: 0.2039	LR: 0.000800
Training Epoch: 17 [45824/48750]	Loss: 0.2394	LR: 0.000800
Training Epoch: 17 [46080/48750]	Loss: 0.2309	LR: 0.000800
Training Epoch: 17 [46336/48750]	Loss: 0.2606	LR: 0.000800
Training Epoch: 17 [46592/48750]	Loss: 0.2752	LR: 0.000800
Training Epoch: 17 [46848/48750]	Loss: 0.2604	LR: 0.000800
Training Epoch: 17 [47104/48750]	Loss: 0.2796	LR: 0.000800
Training Epoch: 17 [47360/48750]	Loss: 0.2331	LR: 0.000800
Training Epoch: 17 [47616/48750]	Loss: 0.3495	LR: 0.000800
Training Epoch: 17 [47872/48750]	Loss: 0.2581	LR: 0.000800
Training Epoch: 17 [48128/48750]	Loss: 0.2963	LR: 0.000800
Training Epoch: 17 [48384/48750]	Loss: 0.2221	LR: 0.000800
Training Epoch: 17 [48640/48750]	Loss: 0.2093	LR: 0.000800
Training Epoch: 17 [48750/48750]	Loss: 0.4181	LR: 0.000800
Epoch 17 - Average Train Loss: 0.2662, Train Accuracy: 0.9079
Epoch 17 training time consumed: 30.44s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0013, Accuracy: 0.8924, Time consumed:1.03s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_19h_24m_34s/ResNet18-Cifar10-seed3-ret75-17-best.pth
Training Epoch: 18 [256/48750]	Loss: 0.2287	LR: 0.000800
Training Epoch: 18 [512/48750]	Loss: 0.2700	LR: 0.000800
Training Epoch: 18 [768/48750]	Loss: 0.2333	LR: 0.000800
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Training Epoch: 18 [1280/48750]	Loss: 0.2014	LR: 0.000800
Training Epoch: 18 [1536/48750]	Loss: 0.2801	LR: 0.000800
Training Epoch: 18 [1792/48750]	Loss: 0.2746	LR: 0.000800
Training Epoch: 18 [2048/48750]	Loss: 0.3149	LR: 0.000800
Training Epoch: 18 [2304/48750]	Loss: 0.2443	LR: 0.000800
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Training Epoch: 18 [2816/48750]	Loss: 0.2773	LR: 0.000800
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Training Epoch: 18 [3584/48750]	Loss: 0.2108	LR: 0.000800
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Training Epoch: 18 [4096/48750]	Loss: 0.2431	LR: 0.000800
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Training Epoch: 18 [5376/48750]	Loss: 0.2496	LR: 0.000800
Training Epoch: 18 [5632/48750]	Loss: 0.2245	LR: 0.000800
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Training Epoch: 18 [7168/48750]	Loss: 0.2871	LR: 0.000800
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Training Epoch: 18 [9984/48750]	Loss: 0.2716	LR: 0.000800
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Training Epoch: 18 [11008/48750]	Loss: 0.3111	LR: 0.000800
Training Epoch: 18 [11264/48750]	Loss: 0.2400	LR: 0.000800
Training Epoch: 18 [11520/48750]	Loss: 0.2553	LR: 0.000800
Training Epoch: 18 [11776/48750]	Loss: 0.3027	LR: 0.000800
Training Epoch: 18 [12032/48750]	Loss: 0.2099	LR: 0.000800
Training Epoch: 18 [12288/48750]	Loss: 0.2154	LR: 0.000800
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Training Epoch: 18 [13568/48750]	Loss: 0.2505	LR: 0.000800
Training Epoch: 18 [13824/48750]	Loss: 0.2329	LR: 0.000800
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Training Epoch: 18 [14336/48750]	Loss: 0.2832	LR: 0.000800
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Training Epoch: 18 [15104/48750]	Loss: 0.2330	LR: 0.000800
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Training Epoch: 18 [15616/48750]	Loss: 0.2438	LR: 0.000800
Training Epoch: 18 [15872/48750]	Loss: 0.2135	LR: 0.000800
Training Epoch: 18 [16128/48750]	Loss: 0.2128	LR: 0.000800
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Training Epoch: 18 [23808/48750]	Loss: 0.2900	LR: 0.000800
Training Epoch: 18 [24064/48750]	Loss: 0.3145	LR: 0.000800
Training Epoch: 18 [24320/48750]	Loss: 0.2499	LR: 0.000800
Training Epoch: 18 [24576/48750]	Loss: 0.2691	LR: 0.000800
Training Epoch: 18 [24832/48750]	Loss: 0.2769	LR: 0.000800
Training Epoch: 18 [25088/48750]	Loss: 0.2175	LR: 0.000800
Training Epoch: 18 [25344/48750]	Loss: 0.2974	LR: 0.000800
Training Epoch: 18 [25600/48750]	Loss: 0.2794	LR: 0.000800
Training Epoch: 18 [25856/48750]	Loss: 0.2410	LR: 0.000800
Training Epoch: 18 [26112/48750]	Loss: 0.2377	LR: 0.000800
Training Epoch: 18 [26368/48750]	Loss: 0.2810	LR: 0.000800
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Training Epoch: 18 [26880/48750]	Loss: 0.3282	LR: 0.000800
Training Epoch: 18 [27136/48750]	Loss: 0.2227	LR: 0.000800
Training Epoch: 18 [27392/48750]	Loss: 0.3210	LR: 0.000800
Training Epoch: 18 [27648/48750]	Loss: 0.2890	LR: 0.000800
Training Epoch: 18 [27904/48750]	Loss: 0.3220	LR: 0.000800
Training Epoch: 18 [28160/48750]	Loss: 0.2315	LR: 0.000800
Training Epoch: 18 [28416/48750]	Loss: 0.2925	LR: 0.000800
Training Epoch: 18 [28672/48750]	Loss: 0.1954	LR: 0.000800
Training Epoch: 18 [28928/48750]	Loss: 0.2681	LR: 0.000800
Training Epoch: 18 [29184/48750]	Loss: 0.2968	LR: 0.000800
Training Epoch: 18 [29440/48750]	Loss: 0.2721	LR: 0.000800
Training Epoch: 18 [29696/48750]	Loss: 0.2977	LR: 0.000800
Training Epoch: 18 [29952/48750]	Loss: 0.2449	LR: 0.000800
Training Epoch: 18 [30208/48750]	Loss: 0.2618	LR: 0.000800
Training Epoch: 18 [30464/48750]	Loss: 0.2111	LR: 0.000800
Training Epoch: 18 [30720/48750]	Loss: 0.2538	LR: 0.000800
Training Epoch: 18 [30976/48750]	Loss: 0.2981	LR: 0.000800
Training Epoch: 18 [31232/48750]	Loss: 0.2407	LR: 0.000800
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Training Epoch: 18 [32512/48750]	Loss: 0.2823	LR: 0.000800
Training Epoch: 18 [32768/48750]	Loss: 0.2453	LR: 0.000800
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Training Epoch: 18 [33792/48750]	Loss: 0.3238	LR: 0.000800
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Training Epoch: 18 [34304/48750]	Loss: 0.2981	LR: 0.000800
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Training Epoch: 18 [35328/48750]	Loss: 0.3223	LR: 0.000800
Training Epoch: 18 [35584/48750]	Loss: 0.2699	LR: 0.000800
Training Epoch: 18 [35840/48750]	Loss: 0.2516	LR: 0.000800
Training Epoch: 18 [36096/48750]	Loss: 0.2893	LR: 0.000800
Training Epoch: 18 [36352/48750]	Loss: 0.2596	LR: 0.000800
Training Epoch: 18 [36608/48750]	Loss: 0.1838	LR: 0.000800
Training Epoch: 18 [36864/48750]	Loss: 0.2319	LR: 0.000800
Training Epoch: 18 [37120/48750]	Loss: 0.2921	LR: 0.000800
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Training Epoch: 18 [37632/48750]	Loss: 0.2875	LR: 0.000800
Training Epoch: 18 [37888/48750]	Loss: 0.3023	LR: 0.000800
Training Epoch: 18 [38144/48750]	Loss: 0.2363	LR: 0.000800
Training Epoch: 18 [38400/48750]	Loss: 0.2590	LR: 0.000800
Training Epoch: 18 [38656/48750]	Loss: 0.2621	LR: 0.000800
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Training Epoch: 18 [39424/48750]	Loss: 0.2996	LR: 0.000800
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Training Epoch: 18 [42496/48750]	Loss: 0.2071	LR: 0.000800
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Training Epoch: 18 [45056/48750]	Loss: 0.2238	LR: 0.000800
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Training Epoch: 18 [48128/48750]	Loss: 0.2170	LR: 0.000800
Training Epoch: 18 [48384/48750]	Loss: 0.2671	LR: 0.000800
Training Epoch: 18 [48640/48750]	Loss: 0.2823	LR: 0.000800
Training Epoch: 18 [48750/48750]	Loss: 0.3353	LR: 0.000800
Epoch 18 - Average Train Loss: 0.2640, Train Accuracy: 0.9083
Epoch 18 training time consumed: 30.44s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0013, Accuracy: 0.8916, Time consumed:1.09s
Training Epoch: 19 [256/48750]	Loss: 0.2306	LR: 0.000800
Training Epoch: 19 [512/48750]	Loss: 0.1747	LR: 0.000800
Training Epoch: 19 [768/48750]	Loss: 0.2516	LR: 0.000800
Training Epoch: 19 [1024/48750]	Loss: 0.2479	LR: 0.000800
Training Epoch: 19 [1280/48750]	Loss: 0.2325	LR: 0.000800
Training Epoch: 19 [1536/48750]	Loss: 0.2909	LR: 0.000800
Training Epoch: 19 [1792/48750]	Loss: 0.2628	LR: 0.000800
Training Epoch: 19 [2048/48750]	Loss: 0.2981	LR: 0.000800
Training Epoch: 19 [2304/48750]	Loss: 0.2194	LR: 0.000800
Training Epoch: 19 [2560/48750]	Loss: 0.2450	LR: 0.000800
Training Epoch: 19 [2816/48750]	Loss: 0.2667	LR: 0.000800
Training Epoch: 19 [3072/48750]	Loss: 0.2429	LR: 0.000800
Training Epoch: 19 [3328/48750]	Loss: 0.3494	LR: 0.000800
Training Epoch: 19 [3584/48750]	Loss: 0.2277	LR: 0.000800
Training Epoch: 19 [3840/48750]	Loss: 0.3095	LR: 0.000800
Training Epoch: 19 [4096/48750]	Loss: 0.2841	LR: 0.000800
Training Epoch: 19 [4352/48750]	Loss: 0.3573	LR: 0.000800
Training Epoch: 19 [4608/48750]	Loss: 0.2674	LR: 0.000800
Training Epoch: 19 [4864/48750]	Loss: 0.2353	LR: 0.000800
Training Epoch: 19 [5120/48750]	Loss: 0.2782	LR: 0.000800
Training Epoch: 19 [5376/48750]	Loss: 0.3921	LR: 0.000800
Training Epoch: 19 [5632/48750]	Loss: 0.1790	LR: 0.000800
Training Epoch: 19 [5888/48750]	Loss: 0.2786	LR: 0.000800
Training Epoch: 19 [6144/48750]	Loss: 0.1979	LR: 0.000800
Training Epoch: 19 [6400/48750]	Loss: 0.2631	LR: 0.000800
Training Epoch: 19 [6656/48750]	Loss: 0.3023	LR: 0.000800
Training Epoch: 19 [6912/48750]	Loss: 0.2172	LR: 0.000800
Training Epoch: 19 [7168/48750]	Loss: 0.2310	LR: 0.000800
Training Epoch: 19 [7424/48750]	Loss: 0.2413	LR: 0.000800
Training Epoch: 19 [7680/48750]	Loss: 0.2745	LR: 0.000800
Training Epoch: 19 [7936/48750]	Loss: 0.2501	LR: 0.000800
Training Epoch: 19 [8192/48750]	Loss: 0.2381	LR: 0.000800
Training Epoch: 19 [8448/48750]	Loss: 0.2300	LR: 0.000800
Training Epoch: 19 [8704/48750]	Loss: 0.3090	LR: 0.000800
Training Epoch: 19 [8960/48750]	Loss: 0.2575	LR: 0.000800
Training Epoch: 19 [9216/48750]	Loss: 0.2128	LR: 0.000800
Training Epoch: 19 [9472/48750]	Loss: 0.2687	LR: 0.000800
Training Epoch: 19 [9728/48750]	Loss: 0.2791	LR: 0.000800
Training Epoch: 19 [9984/48750]	Loss: 0.2069	LR: 0.000800
Training Epoch: 19 [10240/48750]	Loss: 0.2728	LR: 0.000800
Training Epoch: 19 [10496/48750]	Loss: 0.2730	LR: 0.000800
Training Epoch: 19 [10752/48750]	Loss: 0.2117	LR: 0.000800
Training Epoch: 19 [11008/48750]	Loss: 0.2078	LR: 0.000800
Training Epoch: 19 [11264/48750]	Loss: 0.2312	LR: 0.000800
Training Epoch: 19 [11520/48750]	Loss: 0.3080	LR: 0.000800
Training Epoch: 19 [11776/48750]	Loss: 0.2543	LR: 0.000800
Training Epoch: 19 [12032/48750]	Loss: 0.2937	LR: 0.000800
Training Epoch: 19 [12288/48750]	Loss: 0.2827	LR: 0.000800
Training Epoch: 19 [12544/48750]	Loss: 0.3038	LR: 0.000800
Training Epoch: 19 [12800/48750]	Loss: 0.3247	LR: 0.000800
Training Epoch: 19 [13056/48750]	Loss: 0.2693	LR: 0.000800
Training Epoch: 19 [13312/48750]	Loss: 0.2515	LR: 0.000800
Training Epoch: 19 [13568/48750]	Loss: 0.2586	LR: 0.000800
Training Epoch: 19 [13824/48750]	Loss: 0.2694	LR: 0.000800
Training Epoch: 19 [14080/48750]	Loss: 0.2650	LR: 0.000800
Training Epoch: 19 [14336/48750]	Loss: 0.2398	LR: 0.000800
Training Epoch: 19 [14592/48750]	Loss: 0.1935	LR: 0.000800
Training Epoch: 19 [14848/48750]	Loss: 0.2326	LR: 0.000800
Training Epoch: 19 [15104/48750]	Loss: 0.3270	LR: 0.000800
Training Epoch: 19 [15360/48750]	Loss: 0.2148	LR: 0.000800
Training Epoch: 19 [15616/48750]	Loss: 0.2935	LR: 0.000800
Training Epoch: 19 [15872/48750]	Loss: 0.2455	LR: 0.000800
Training Epoch: 19 [16128/48750]	Loss: 0.2570	LR: 0.000800
Training Epoch: 19 [16384/48750]	Loss: 0.2793	LR: 0.000800
Training Epoch: 19 [16640/48750]	Loss: 0.2548	LR: 0.000800
Training Epoch: 19 [16896/48750]	Loss: 0.2244	LR: 0.000800
Training Epoch: 19 [17152/48750]	Loss: 0.2671	LR: 0.000800
Training Epoch: 19 [17408/48750]	Loss: 0.2984	LR: 0.000800
Training Epoch: 19 [17664/48750]	Loss: 0.2528	LR: 0.000800
Training Epoch: 19 [17920/48750]	Loss: 0.2312	LR: 0.000800
Training Epoch: 19 [18176/48750]	Loss: 0.3393	LR: 0.000800
Training Epoch: 19 [18432/48750]	Loss: 0.2286	LR: 0.000800
Training Epoch: 19 [18688/48750]	Loss: 0.2403	LR: 0.000800
Training Epoch: 19 [18944/48750]	Loss: 0.2488	LR: 0.000800
Training Epoch: 19 [19200/48750]	Loss: 0.3234	LR: 0.000800
Training Epoch: 19 [19456/48750]	Loss: 0.2926	LR: 0.000800
Training Epoch: 19 [19712/48750]	Loss: 0.2274	LR: 0.000800
Training Epoch: 19 [19968/48750]	Loss: 0.2702	LR: 0.000800
Training Epoch: 19 [20224/48750]	Loss: 0.2701	LR: 0.000800
Training Epoch: 19 [20480/48750]	Loss: 0.2162	LR: 0.000800
Training Epoch: 19 [20736/48750]	Loss: 0.2701	LR: 0.000800
Training Epoch: 19 [20992/48750]	Loss: 0.2636	LR: 0.000800
Training Epoch: 19 [21248/48750]	Loss: 0.2471	LR: 0.000800
Training Epoch: 19 [21504/48750]	Loss: 0.2675	LR: 0.000800
Training Epoch: 19 [21760/48750]	Loss: 0.2516	LR: 0.000800
Training Epoch: 19 [22016/48750]	Loss: 0.2691	LR: 0.000800
Training Epoch: 19 [22272/48750]	Loss: 0.2669	LR: 0.000800
Training Epoch: 19 [22528/48750]	Loss: 0.1782	LR: 0.000800
Training Epoch: 19 [22784/48750]	Loss: 0.2640	LR: 0.000800
Training Epoch: 19 [23040/48750]	Loss: 0.3029	LR: 0.000800
Training Epoch: 19 [23296/48750]	Loss: 0.2250	LR: 0.000800
Training Epoch: 19 [23552/48750]	Loss: 0.2771	LR: 0.000800
Training Epoch: 19 [23808/48750]	Loss: 0.2440	LR: 0.000800
Training Epoch: 19 [24064/48750]	Loss: 0.3064	LR: 0.000800
Training Epoch: 19 [24320/48750]	Loss: 0.3019	LR: 0.000800
Training Epoch: 19 [24576/48750]	Loss: 0.2009	LR: 0.000800
Training Epoch: 19 [24832/48750]	Loss: 0.3280	LR: 0.000800
Training Epoch: 19 [25088/48750]	Loss: 0.2880	LR: 0.000800
Training Epoch: 19 [25344/48750]	Loss: 0.2520	LR: 0.000800
Training Epoch: 19 [25600/48750]	Loss: 0.2451	LR: 0.000800
Training Epoch: 19 [25856/48750]	Loss: 0.2609	LR: 0.000800
Training Epoch: 19 [26112/48750]	Loss: 0.2806	LR: 0.000800
Training Epoch: 19 [26368/48750]	Loss: 0.2981	LR: 0.000800
Training Epoch: 19 [26624/48750]	Loss: 0.2359	LR: 0.000800
Training Epoch: 19 [26880/48750]	Loss: 0.3046	LR: 0.000800
Training Epoch: 19 [27136/48750]	Loss: 0.2291	LR: 0.000800
Training Epoch: 19 [27392/48750]	Loss: 0.2483	LR: 0.000800
Training Epoch: 19 [27648/48750]	Loss: 0.3095	LR: 0.000800
Training Epoch: 19 [27904/48750]	Loss: 0.2465	LR: 0.000800
Training Epoch: 19 [28160/48750]	Loss: 0.2293	LR: 0.000800
Training Epoch: 19 [28416/48750]	Loss: 0.2505	LR: 0.000800
Training Epoch: 19 [28672/48750]	Loss: 0.2275	LR: 0.000800
Training Epoch: 19 [28928/48750]	Loss: 0.2830	LR: 0.000800
Training Epoch: 19 [29184/48750]	Loss: 0.2017	LR: 0.000800
Training Epoch: 19 [29440/48750]	Loss: 0.2403	LR: 0.000800
Training Epoch: 19 [29696/48750]	Loss: 0.3379	LR: 0.000800
Training Epoch: 19 [29952/48750]	Loss: 0.2715	LR: 0.000800
Training Epoch: 19 [30208/48750]	Loss: 0.3288	LR: 0.000800
Training Epoch: 19 [30464/48750]	Loss: 0.2321	LR: 0.000800
Training Epoch: 19 [30720/48750]	Loss: 0.2484	LR: 0.000800
Training Epoch: 19 [30976/48750]	Loss: 0.2529	LR: 0.000800
Training Epoch: 19 [31232/48750]	Loss: 0.3221	LR: 0.000800
Training Epoch: 19 [31488/48750]	Loss: 0.2458	LR: 0.000800
Training Epoch: 19 [31744/48750]	Loss: 0.2281	LR: 0.000800
Training Epoch: 19 [32000/48750]	Loss: 0.2693	LR: 0.000800
Training Epoch: 19 [32256/48750]	Loss: 0.1665	LR: 0.000800
Training Epoch: 19 [32512/48750]	Loss: 0.2181	LR: 0.000800
Training Epoch: 19 [32768/48750]	Loss: 0.2178	LR: 0.000800
Training Epoch: 19 [33024/48750]	Loss: 0.2286	LR: 0.000800
Training Epoch: 19 [33280/48750]	Loss: 0.2278	LR: 0.000800
Training Epoch: 19 [33536/48750]	Loss: 0.2279	LR: 0.000800
Training Epoch: 19 [33792/48750]	Loss: 0.2549	LR: 0.000800
Training Epoch: 19 [34048/48750]	Loss: 0.2304	LR: 0.000800
Training Epoch: 19 [34304/48750]	Loss: 0.2624	LR: 0.000800
Training Epoch: 19 [34560/48750]	Loss: 0.2666	LR: 0.000800
Training Epoch: 19 [34816/48750]	Loss: 0.2611	LR: 0.000800
Training Epoch: 19 [35072/48750]	Loss: 0.2494	LR: 0.000800
Training Epoch: 19 [35328/48750]	Loss: 0.2302	LR: 0.000800
Training Epoch: 19 [35584/48750]	Loss: 0.2812	LR: 0.000800
Training Epoch: 19 [35840/48750]	Loss: 0.2252	LR: 0.000800
Training Epoch: 19 [36096/48750]	Loss: 0.2775	LR: 0.000800
Training Epoch: 19 [36352/48750]	Loss: 0.2472	LR: 0.000800
Training Epoch: 19 [36608/48750]	Loss: 0.2577	LR: 0.000800
Training Epoch: 19 [36864/48750]	Loss: 0.2960	LR: 0.000800
Training Epoch: 19 [37120/48750]	Loss: 0.2449	LR: 0.000800
Training Epoch: 19 [37376/48750]	Loss: 0.2373	LR: 0.000800
Training Epoch: 19 [37632/48750]	Loss: 0.3125	LR: 0.000800
Training Epoch: 19 [37888/48750]	Loss: 0.2648	LR: 0.000800
Training Epoch: 19 [38144/48750]	Loss: 0.3168	LR: 0.000800
Training Epoch: 19 [38400/48750]	Loss: 0.3736	LR: 0.000800
Training Epoch: 19 [38656/48750]	Loss: 0.2082	LR: 0.000800
Training Epoch: 19 [38912/48750]	Loss: 0.2477	LR: 0.000800
Training Epoch: 19 [39168/48750]	Loss: 0.2567	LR: 0.000800
Training Epoch: 19 [39424/48750]	Loss: 0.2377	LR: 0.000800
Training Epoch: 19 [39680/48750]	Loss: 0.2301	LR: 0.000800
Training Epoch: 19 [39936/48750]	Loss: 0.2892	LR: 0.000800
Training Epoch: 19 [40192/48750]	Loss: 0.3498	LR: 0.000800
Training Epoch: 19 [40448/48750]	Loss: 0.2840	LR: 0.000800
Training Epoch: 19 [40704/48750]	Loss: 0.2747	LR: 0.000800
Training Epoch: 19 [40960/48750]	Loss: 0.2114	LR: 0.000800
Training Epoch: 19 [41216/48750]	Loss: 0.2463	LR: 0.000800
Training Epoch: 19 [41472/48750]	Loss: 0.2778	LR: 0.000800
Training Epoch: 19 [41728/48750]	Loss: 0.1981	LR: 0.000800
Training Epoch: 19 [41984/48750]	Loss: 0.3158	LR: 0.000800
Training Epoch: 19 [42240/48750]	Loss: 0.2229	LR: 0.000800
Training Epoch: 19 [42496/48750]	Loss: 0.2447	LR: 0.000800
Training Epoch: 19 [42752/48750]	Loss: 0.3214	LR: 0.000800
Training Epoch: 19 [43008/48750]	Loss: 0.2635	LR: 0.000800
Training Epoch: 19 [43264/48750]	Loss: 0.2457	LR: 0.000800
Training Epoch: 19 [43520/48750]	Loss: 0.2420	LR: 0.000800
Training Epoch: 19 [43776/48750]	Loss: 0.2372	LR: 0.000800
Training Epoch: 19 [44032/48750]	Loss: 0.2899	LR: 0.000800
Training Epoch: 19 [44288/48750]	Loss: 0.2233	LR: 0.000800
Training Epoch: 19 [44544/48750]	Loss: 0.2974	LR: 0.000800
Training Epoch: 19 [44800/48750]	Loss: 0.1979	LR: 0.000800
Training Epoch: 19 [45056/48750]	Loss: 0.2356	LR: 0.000800
Training Epoch: 19 [45312/48750]	Loss: 0.3131	LR: 0.000800
Training Epoch: 19 [45568/48750]	Loss: 0.2853	LR: 0.000800
Training Epoch: 19 [45824/48750]	Loss: 0.3202	LR: 0.000800
Training Epoch: 19 [46080/48750]	Loss: 0.2714	LR: 0.000800
Training Epoch: 19 [46336/48750]	Loss: 0.2701	LR: 0.000800
Training Epoch: 19 [46592/48750]	Loss: 0.2497	LR: 0.000800
Training Epoch: 19 [46848/48750]	Loss: 0.2505	LR: 0.000800
Training Epoch: 19 [47104/48750]	Loss: 0.2692	LR: 0.000800
Training Epoch: 19 [47360/48750]	Loss: 0.3073	LR: 0.000800
Training Epoch: 19 [47616/48750]	Loss: 0.2418	LR: 0.000800
Training Epoch: 19 [47872/48750]	Loss: 0.2917	LR: 0.000800
Training Epoch: 19 [48128/48750]	Loss: 0.2774	LR: 0.000800
Training Epoch: 19 [48384/48750]	Loss: 0.2679	LR: 0.000800
Training Epoch: 19 [48640/48750]	Loss: 0.2617	LR: 0.000800
Training Epoch: 19 [48750/48750]	Loss: 0.2880	LR: 0.000800
Epoch 19 - Average Train Loss: 0.2610, Train Accuracy: 0.9095
Epoch 19 training time consumed: 30.31s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0013, Accuracy: 0.8904, Time consumed:1.00s
Training Epoch: 20 [256/48750]	Loss: 0.1910	LR: 0.000800
Training Epoch: 20 [512/48750]	Loss: 0.3029	LR: 0.000800
Training Epoch: 20 [768/48750]	Loss: 0.2610	LR: 0.000800
Training Epoch: 20 [1024/48750]	Loss: 0.2143	LR: 0.000800
Training Epoch: 20 [1280/48750]	Loss: 0.1943	LR: 0.000800
Training Epoch: 20 [1536/48750]	Loss: 0.2537	LR: 0.000800
Training Epoch: 20 [1792/48750]	Loss: 0.3242	LR: 0.000800
Training Epoch: 20 [2048/48750]	Loss: 0.2876	LR: 0.000800
Training Epoch: 20 [2304/48750]	Loss: 0.2536	LR: 0.000800
Training Epoch: 20 [2560/48750]	Loss: 0.3201	LR: 0.000800
Training Epoch: 20 [2816/48750]	Loss: 0.2755	LR: 0.000800
Training Epoch: 20 [3072/48750]	Loss: 0.2936	LR: 0.000800
Training Epoch: 20 [3328/48750]	Loss: 0.2352	LR: 0.000800
Training Epoch: 20 [3584/48750]	Loss: 0.2388	LR: 0.000800
Training Epoch: 20 [3840/48750]	Loss: 0.2007	LR: 0.000800
Training Epoch: 20 [4096/48750]	Loss: 0.2506	LR: 0.000800
Training Epoch: 20 [4352/48750]	Loss: 0.2965	LR: 0.000800
Training Epoch: 20 [4608/48750]	Loss: 0.2791	LR: 0.000800
Training Epoch: 20 [4864/48750]	Loss: 0.2885	LR: 0.000800
Training Epoch: 20 [5120/48750]	Loss: 0.2708	LR: 0.000800
Training Epoch: 20 [5376/48750]	Loss: 0.3001	LR: 0.000800
Training Epoch: 20 [5632/48750]	Loss: 0.2928	LR: 0.000800
Training Epoch: 20 [5888/48750]	Loss: 0.2218	LR: 0.000800
Training Epoch: 20 [6144/48750]	Loss: 0.2751	LR: 0.000800
Training Epoch: 20 [6400/48750]	Loss: 0.2729	LR: 0.000800
Training Epoch: 20 [6656/48750]	Loss: 0.2347	LR: 0.000800
Training Epoch: 20 [6912/48750]	Loss: 0.1856	LR: 0.000800
Training Epoch: 20 [7168/48750]	Loss: 0.2508	LR: 0.000800
Training Epoch: 20 [7424/48750]	Loss: 0.2546	LR: 0.000800
Training Epoch: 20 [7680/48750]	Loss: 0.2237	LR: 0.000800
Training Epoch: 20 [7936/48750]	Loss: 0.2203	LR: 0.000800
Training Epoch: 20 [8192/48750]	Loss: 0.3099	LR: 0.000800
Training Epoch: 20 [8448/48750]	Loss: 0.2246	LR: 0.000800
Training Epoch: 20 [8704/48750]	Loss: 0.2325	LR: 0.000800
Training Epoch: 20 [8960/48750]	Loss: 0.2435	LR: 0.000800
Training Epoch: 20 [9216/48750]	Loss: 0.3044	LR: 0.000800
Training Epoch: 20 [9472/48750]	Loss: 0.2438	LR: 0.000800
Training Epoch: 20 [9728/48750]	Loss: 0.2335	LR: 0.000800
Training Epoch: 20 [9984/48750]	Loss: 0.2646	LR: 0.000800
Training Epoch: 20 [10240/48750]	Loss: 0.3091	LR: 0.000800
Training Epoch: 20 [10496/48750]	Loss: 0.2216	LR: 0.000800
Training Epoch: 20 [10752/48750]	Loss: 0.2667	LR: 0.000800
Training Epoch: 20 [11008/48750]	Loss: 0.2153	LR: 0.000800
Training Epoch: 20 [11264/48750]	Loss: 0.2637	LR: 0.000800
Training Epoch: 20 [11520/48750]	Loss: 0.2585	LR: 0.000800
Training Epoch: 20 [11776/48750]	Loss: 0.2533	LR: 0.000800
Training Epoch: 20 [12032/48750]	Loss: 0.1643	LR: 0.000800
Training Epoch: 20 [12288/48750]	Loss: 0.2437	LR: 0.000800
Training Epoch: 20 [12544/48750]	Loss: 0.2903	LR: 0.000800
Training Epoch: 20 [12800/48750]	Loss: 0.2170	LR: 0.000800
Training Epoch: 20 [13056/48750]	Loss: 0.2305	LR: 0.000800
Training Epoch: 20 [13312/48750]	Loss: 0.2185	LR: 0.000800
Training Epoch: 20 [13568/48750]	Loss: 0.2611	LR: 0.000800
Training Epoch: 20 [13824/48750]	Loss: 0.2357	LR: 0.000800
Training Epoch: 20 [14080/48750]	Loss: 0.2243	LR: 0.000800
Training Epoch: 20 [14336/48750]	Loss: 0.2451	LR: 0.000800
Training Epoch: 20 [14592/48750]	Loss: 0.3009	LR: 0.000800
Training Epoch: 20 [14848/48750]	Loss: 0.2468	LR: 0.000800
Training Epoch: 20 [15104/48750]	Loss: 0.2546	LR: 0.000800
Training Epoch: 20 [15360/48750]	Loss: 0.3358	LR: 0.000800
Training Epoch: 20 [15616/48750]	Loss: 0.1983	LR: 0.000800
Training Epoch: 20 [15872/48750]	Loss: 0.2671	LR: 0.000800
Training Epoch: 20 [16128/48750]	Loss: 0.2814	LR: 0.000800
Training Epoch: 20 [16384/48750]	Loss: 0.2279	LR: 0.000800
Training Epoch: 20 [16640/48750]	Loss: 0.1661	LR: 0.000800
Training Epoch: 20 [16896/48750]	Loss: 0.3158	LR: 0.000800
Training Epoch: 20 [17152/48750]	Loss: 0.2690	LR: 0.000800
Training Epoch: 20 [17408/48750]	Loss: 0.2322	LR: 0.000800
Training Epoch: 20 [17664/48750]	Loss: 0.2456	LR: 0.000800
Training Epoch: 20 [17920/48750]	Loss: 0.3377	LR: 0.000800
Training Epoch: 20 [18176/48750]	Loss: 0.2959	LR: 0.000800
Training Epoch: 20 [18432/48750]	Loss: 0.2283	LR: 0.000800
Training Epoch: 20 [18688/48750]	Loss: 0.3043	LR: 0.000800
Training Epoch: 20 [18944/48750]	Loss: 0.2676	LR: 0.000800
Training Epoch: 20 [19200/48750]	Loss: 0.2913	LR: 0.000800
Training Epoch: 20 [19456/48750]	Loss: 0.2270	LR: 0.000800
Training Epoch: 20 [19712/48750]	Loss: 0.2439	LR: 0.000800
Training Epoch: 20 [19968/48750]	Loss: 0.2949	LR: 0.000800
Training Epoch: 20 [20224/48750]	Loss: 0.2292	LR: 0.000800
Training Epoch: 20 [20480/48750]	Loss: 0.2749	LR: 0.000800
Training Epoch: 20 [20736/48750]	Loss: 0.2423	LR: 0.000800
Training Epoch: 20 [20992/48750]	Loss: 0.2577	LR: 0.000800
Training Epoch: 20 [21248/48750]	Loss: 0.3262	LR: 0.000800
Training Epoch: 20 [21504/48750]	Loss: 0.2930	LR: 0.000800
Training Epoch: 20 [21760/48750]	Loss: 0.1693	LR: 0.000800
Training Epoch: 20 [22016/48750]	Loss: 0.1963	LR: 0.000800
Training Epoch: 20 [22272/48750]	Loss: 0.2215	LR: 0.000800
Training Epoch: 20 [22528/48750]	Loss: 0.2611	LR: 0.000800
Training Epoch: 20 [22784/48750]	Loss: 0.2423	LR: 0.000800
Training Epoch: 20 [23040/48750]	Loss: 0.2829	LR: 0.000800
Training Epoch: 20 [23296/48750]	Loss: 0.2842	LR: 0.000800
Training Epoch: 20 [23552/48750]	Loss: 0.3577	LR: 0.000800
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Training Epoch: 20 [28160/48750]	Loss: 0.2191	LR: 0.000800
Training Epoch: 20 [28416/48750]	Loss: 0.2152	LR: 0.000800
Training Epoch: 20 [28672/48750]	Loss: 0.2988	LR: 0.000800
Training Epoch: 20 [28928/48750]	Loss: 0.3044	LR: 0.000800
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Training Epoch: 20 [30720/48750]	Loss: 0.3225	LR: 0.000800
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Training Epoch: 20 [31232/48750]	Loss: 0.2418	LR: 0.000800
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Training Epoch: 20 [31744/48750]	Loss: 0.2693	LR: 0.000800
Training Epoch: 20 [32000/48750]	Loss: 0.1801	LR: 0.000800
Training Epoch: 20 [32256/48750]	Loss: 0.2850	LR: 0.000800
Training Epoch: 20 [32512/48750]	Loss: 0.3379	LR: 0.000800
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Training Epoch: 20 [35584/48750]	Loss: 0.3219	LR: 0.000800
Training Epoch: 20 [35840/48750]	Loss: 0.3562	LR: 0.000800
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Training Epoch: 20 [38144/48750]	Loss: 0.2828	LR: 0.000800
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Training Epoch: 20 [38912/48750]	Loss: 0.3330	LR: 0.000800
Training Epoch: 20 [39168/48750]	Loss: 0.2511	LR: 0.000800
Training Epoch: 20 [39424/48750]	Loss: 0.2143	LR: 0.000800
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Training Epoch: 20 [39936/48750]	Loss: 0.1751	LR: 0.000800
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Training Epoch: 20 [40448/48750]	Loss: 0.2719	LR: 0.000800
Training Epoch: 20 [40704/48750]	Loss: 0.2985	LR: 0.000800
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Training Epoch: 20 [41472/48750]	Loss: 0.2988	LR: 0.000800
Training Epoch: 20 [41728/48750]	Loss: 0.2210	LR: 0.000800
Training Epoch: 20 [41984/48750]	Loss: 0.3107	LR: 0.000800
Training Epoch: 20 [42240/48750]	Loss: 0.2712	LR: 0.000800
Training Epoch: 20 [42496/48750]	Loss: 0.2378	LR: 0.000800
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Training Epoch: 20 [43008/48750]	Loss: 0.2302	LR: 0.000800
Training Epoch: 20 [43264/48750]	Loss: 0.2438	LR: 0.000800
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Training Epoch: 20 [44288/48750]	Loss: 0.2325	LR: 0.000800
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Training Epoch: 20 [44800/48750]	Loss: 0.2794	LR: 0.000800
Training Epoch: 20 [45056/48750]	Loss: 0.3176	LR: 0.000800
Training Epoch: 20 [45312/48750]	Loss: 0.2554	LR: 0.000800
Training Epoch: 20 [45568/48750]	Loss: 0.2315	LR: 0.000800
Training Epoch: 20 [45824/48750]	Loss: 0.2035	LR: 0.000800
Training Epoch: 20 [46080/48750]	Loss: 0.2360	LR: 0.000800
Training Epoch: 20 [46336/48750]	Loss: 0.2681	LR: 0.000800
Training Epoch: 20 [46592/48750]	Loss: 0.2095	LR: 0.000800
Training Epoch: 20 [46848/48750]	Loss: 0.2455	LR: 0.000800
Training Epoch: 20 [47104/48750]	Loss: 0.1899	LR: 0.000800
Training Epoch: 20 [47360/48750]	Loss: 0.2530	LR: 0.000800
Training Epoch: 20 [47616/48750]	Loss: 0.2498	LR: 0.000800
Training Epoch: 20 [47872/48750]	Loss: 0.2387	LR: 0.000800
Training Epoch: 20 [48128/48750]	Loss: 0.2944	LR: 0.000800
Training Epoch: 20 [48384/48750]	Loss: 0.2393	LR: 0.000800
Training Epoch: 20 [48640/48750]	Loss: 0.3221	LR: 0.000800
Training Epoch: 20 [48750/48750]	Loss: 0.3438	LR: 0.000800
Epoch 20 - Average Train Loss: 0.2578, Train Accuracy: 0.9091
Epoch 20 training time consumed: 30.14s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0013, Accuracy: 0.8934, Time consumed:0.99s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_19h_24m_34s/ResNet18-Cifar10-seed3-ret75-20-best.pth
Valid (Test) Dl:  10000
Train Dl:  50000
Retain Train Dl:  48750
Forget Train Dl:  1250
Retain Valid Dl:  48750
Forget Valid Dl:  1250
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 1250 samples
Set1 Distribution: 1250 samples
Set2 Distribution: 1250 samples
MIA Attack Accuracy with XGBoost: 0.7320
Set1 Distribution: 1250 samples
Set2 Distribution: 1250 samples
MIA Attack Accuracy with XGBoost: 0.5000
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
MIA Attack Accuracy with XGBoost: 0.6683
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
MIA Attack Accuracy with XGBoost: 0.5105
Test Accuracy: 91.552734375
Retain Accuracy: 94.01468658447266
Zero-Retain Forget (ZRF): 0.824061930179596
Membership Inference Attack (MIA): 0.7064
Forget vs Retain Membership Inference Attack (MIA): 0.732
Forget vs Test Membership Inference Attack (MIA): 0.5
Test vs Retain Membership Inference Attack (MIA): 0.66825
Train vs Test Membership Inference Attack (MIA): 0.5105
Forget Set Accuracy (Df): 93.53152465820312
Method Execution Time: 2533.71 seconds
