hello
hello

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

📊 Updated class distribution:
Retain set:
  Class 0: 4875
  Class 1: 4875
  Class 2: 4875
  Class 3: 4875
  Class 4: 4875
  Class 5: 4875
  Class 6: 4875
  Class 7: 4875
  Class 8: 4875
  Class 9: 4875
Forget set:
  Class 0: 125
  Class 1: 125
  Class 2: 125
  Class 3: 125
  Class 4: 125
  Class 5: 125
  Class 6: 125
  Class 7: 125
  Class 8: 125
  Class 9: 125
hello
hello
⚠️ Warning: Retain train loader may not be shuffled.
Training Epoch: 1 [256/48750]	Loss: 2.3311	LR: 0.000000
Training Epoch: 1 [512/48750]	Loss: 2.3161	LR: 0.000524
Training Epoch: 1 [768/48750]	Loss: 2.3103	LR: 0.001047
Training Epoch: 1 [1024/48750]	Loss: 2.3231	LR: 0.001571
Training Epoch: 1 [1280/48750]	Loss: 2.3282	LR: 0.002094
Training Epoch: 1 [1536/48750]	Loss: 2.3128	LR: 0.002618
Training Epoch: 1 [1792/48750]	Loss: 2.2985	LR: 0.003141
Training Epoch: 1 [2048/48750]	Loss: 2.2640	LR: 0.003665
Training Epoch: 1 [2304/48750]	Loss: 2.2482	LR: 0.004188
Training Epoch: 1 [2560/48750]	Loss: 2.2457	LR: 0.004712
Training Epoch: 1 [2816/48750]	Loss: 2.2413	LR: 0.005236
Training Epoch: 1 [3072/48750]	Loss: 2.2287	LR: 0.005759
Training Epoch: 1 [3328/48750]	Loss: 2.2014	LR: 0.006283
Training Epoch: 1 [3584/48750]	Loss: 2.2074	LR: 0.006806
Training Epoch: 1 [3840/48750]	Loss: 2.1564	LR: 0.007330
Training Epoch: 1 [4096/48750]	Loss: 2.1793	LR: 0.007853
Training Epoch: 1 [4352/48750]	Loss: 2.1244	LR: 0.008377
Training Epoch: 1 [4608/48750]	Loss: 2.0910	LR: 0.008901
Training Epoch: 1 [4864/48750]	Loss: 2.1017	LR: 0.009424
Training Epoch: 1 [5120/48750]	Loss: 2.0563	LR: 0.009948
Training Epoch: 1 [5376/48750]	Loss: 2.0633	LR: 0.010471
Training Epoch: 1 [5632/48750]	Loss: 2.0655	LR: 0.010995
Training Epoch: 1 [5888/48750]	Loss: 2.0283	LR: 0.011518
Training Epoch: 1 [6144/48750]	Loss: 1.9932	LR: 0.012042
Training Epoch: 1 [6400/48750]	Loss: 1.9524	LR: 0.012565
Training Epoch: 1 [6656/48750]	Loss: 1.9084	LR: 0.013089
Training Epoch: 1 [6912/48750]	Loss: 2.0300	LR: 0.013613
Training Epoch: 1 [7168/48750]	Loss: 1.8970	LR: 0.014136
Training Epoch: 1 [7424/48750]	Loss: 1.9533	LR: 0.014660
Training Epoch: 1 [7680/48750]	Loss: 2.0057	LR: 0.015183
Training Epoch: 1 [7936/48750]	Loss: 1.8885	LR: 0.015707
Training Epoch: 1 [8192/48750]	Loss: 1.9426	LR: 0.016230
Training Epoch: 1 [8448/48750]	Loss: 1.8715	LR: 0.016754
Training Epoch: 1 [8704/48750]	Loss: 1.9053	LR: 0.017277
Training Epoch: 1 [8960/48750]	Loss: 1.8654	LR: 0.017801
Training Epoch: 1 [9216/48750]	Loss: 1.7978	LR: 0.018325
Training Epoch: 1 [9472/48750]	Loss: 1.8816	LR: 0.018848
Training Epoch: 1 [9728/48750]	Loss: 1.9142	LR: 0.019372
Training Epoch: 1 [9984/48750]	Loss: 1.8689	LR: 0.019895
Training Epoch: 1 [10240/48750]	Loss: 1.8050	LR: 0.020419
Training Epoch: 1 [10496/48750]	Loss: 1.7451	LR: 0.020942
Training Epoch: 1 [10752/48750]	Loss: 1.8639	LR: 0.021466
Training Epoch: 1 [11008/48750]	Loss: 1.6894	LR: 0.021990
Training Epoch: 1 [11264/48750]	Loss: 1.7661	LR: 0.022513
Training Epoch: 1 [11520/48750]	Loss: 1.8076	LR: 0.023037
Training Epoch: 1 [11776/48750]	Loss: 1.7716	LR: 0.023560
Training Epoch: 1 [12032/48750]	Loss: 1.8648	LR: 0.024084
Training Epoch: 1 [12288/48750]	Loss: 1.7004	LR: 0.024607
Training Epoch: 1 [12544/48750]	Loss: 1.7090	LR: 0.025131
Training Epoch: 1 [12800/48750]	Loss: 1.7666	LR: 0.025654
Training Epoch: 1 [13056/48750]	Loss: 1.6753	LR: 0.026178
Training Epoch: 1 [13312/48750]	Loss: 1.7536	LR: 0.026702
Training Epoch: 1 [13568/48750]	Loss: 1.6931	LR: 0.027225
Training Epoch: 1 [13824/48750]	Loss: 1.6687	LR: 0.027749
Training Epoch: 1 [14080/48750]	Loss: 1.6471	LR: 0.028272
Training Epoch: 1 [14336/48750]	Loss: 1.7604	LR: 0.028796
Training Epoch: 1 [14592/48750]	Loss: 1.7466	LR: 0.029319
Training Epoch: 1 [14848/48750]	Loss: 1.6236	LR: 0.029843
Training Epoch: 1 [15104/48750]	Loss: 1.7630	LR: 0.030366
Training Epoch: 1 [15360/48750]	Loss: 1.7810	LR: 0.030890
Training Epoch: 1 [15616/48750]	Loss: 1.6488	LR: 0.031414
Training Epoch: 1 [15872/48750]	Loss: 1.6314	LR: 0.031937
Training Epoch: 1 [16128/48750]	Loss: 1.7291	LR: 0.032461
Training Epoch: 1 [16384/48750]	Loss: 1.6559	LR: 0.032984
Training Epoch: 1 [16640/48750]	Loss: 1.7045	LR: 0.033508
Training Epoch: 1 [16896/48750]	Loss: 1.6817	LR: 0.034031
Training Epoch: 1 [17152/48750]	Loss: 1.6588	LR: 0.034555
Training Epoch: 1 [17408/48750]	Loss: 1.5854	LR: 0.035079
Training Epoch: 1 [17664/48750]	Loss: 1.7103	LR: 0.035602
Training Epoch: 1 [17920/48750]	Loss: 1.5512	LR: 0.036126
Training Epoch: 1 [18176/48750]	Loss: 1.6408	LR: 0.036649
Training Epoch: 1 [18432/48750]	Loss: 1.6605	LR: 0.037173
Training Epoch: 1 [18688/48750]	Loss: 1.6198	LR: 0.037696
Training Epoch: 1 [18944/48750]	Loss: 1.5583	LR: 0.038220
Training Epoch: 1 [19200/48750]	Loss: 1.7821	LR: 0.038743
Training Epoch: 1 [19456/48750]	Loss: 1.6930	LR: 0.039267
Training Epoch: 1 [19712/48750]	Loss: 1.6168	LR: 0.039791
Training Epoch: 1 [19968/48750]	Loss: 1.6112	LR: 0.040314
Training Epoch: 1 [20224/48750]	Loss: 1.6525	LR: 0.040838
Training Epoch: 1 [20480/48750]	Loss: 1.5899	LR: 0.041361
Training Epoch: 1 [20736/48750]	Loss: 1.4987	LR: 0.041885
Training Epoch: 1 [20992/48750]	Loss: 1.5757	LR: 0.042408
Training Epoch: 1 [21248/48750]	Loss: 1.6217	LR: 0.042932
Training Epoch: 1 [21504/48750]	Loss: 1.6707	LR: 0.043455
Training Epoch: 1 [21760/48750]	Loss: 1.6747	LR: 0.043979
Training Epoch: 1 [22016/48750]	Loss: 1.6642	LR: 0.044503
Training Epoch: 1 [22272/48750]	Loss: 1.6223	LR: 0.045026
Training Epoch: 1 [22528/48750]	Loss: 1.6707	LR: 0.045550
Training Epoch: 1 [22784/48750]	Loss: 1.5479	LR: 0.046073
Training Epoch: 1 [23040/48750]	Loss: 1.5993	LR: 0.046597
Training Epoch: 1 [23296/48750]	Loss: 1.5424	LR: 0.047120
Training Epoch: 1 [23552/48750]	Loss: 1.6039	LR: 0.047644
Training Epoch: 1 [23808/48750]	Loss: 1.5835	LR: 0.048168
Training Epoch: 1 [24064/48750]	Loss: 1.5742	LR: 0.048691
Training Epoch: 1 [24320/48750]	Loss: 1.4662	LR: 0.049215
Training Epoch: 1 [24576/48750]	Loss: 1.5645	LR: 0.049738
Training Epoch: 1 [24832/48750]	Loss: 1.5816	LR: 0.050262
Training Epoch: 1 [25088/48750]	Loss: 1.4935	LR: 0.050785
Training Epoch: 1 [25344/48750]	Loss: 1.4883	LR: 0.051309
Training Epoch: 1 [25600/48750]	Loss: 1.5901	LR: 0.051832
Training Epoch: 1 [25856/48750]	Loss: 1.6631	LR: 0.052356
Training Epoch: 1 [26112/48750]	Loss: 1.4974	LR: 0.052880
Training Epoch: 1 [26368/48750]	Loss: 1.5470	LR: 0.053403
Training Epoch: 1 [26624/48750]	Loss: 1.4198	LR: 0.053927
Training Epoch: 1 [26880/48750]	Loss: 1.4110	LR: 0.054450
Training Epoch: 1 [27136/48750]	Loss: 1.4804	LR: 0.054974
Training Epoch: 1 [27392/48750]	Loss: 1.5708	LR: 0.055497
Training Epoch: 1 [27648/48750]	Loss: 1.5836	LR: 0.056021
Training Epoch: 1 [27904/48750]	Loss: 1.5024	LR: 0.056545
Training Epoch: 1 [28160/48750]	Loss: 1.3844	LR: 0.057068
Training Epoch: 1 [28416/48750]	Loss: 1.5451	LR: 0.057592
Training Epoch: 1 [28672/48750]	Loss: 1.4204	LR: 0.058115
Training Epoch: 1 [28928/48750]	Loss: 1.4745	LR: 0.058639
Training Epoch: 1 [29184/48750]	Loss: 1.4510	LR: 0.059162
Training Epoch: 1 [29440/48750]	Loss: 1.5619	LR: 0.059686
Training Epoch: 1 [29696/48750]	Loss: 1.4889	LR: 0.060209
Training Epoch: 1 [29952/48750]	Loss: 1.4586	LR: 0.060733
Training Epoch: 1 [30208/48750]	Loss: 1.4929	LR: 0.061257
Training Epoch: 1 [30464/48750]	Loss: 1.5586	LR: 0.061780
Training Epoch: 1 [30720/48750]	Loss: 1.4307	LR: 0.062304
Training Epoch: 1 [30976/48750]	Loss: 1.4812	LR: 0.062827
Training Epoch: 1 [31232/48750]	Loss: 1.4228	LR: 0.063351
Training Epoch: 1 [31488/48750]	Loss: 1.5204	LR: 0.063874
Training Epoch: 1 [31744/48750]	Loss: 1.4810	LR: 0.064398
Training Epoch: 1 [32000/48750]	Loss: 1.6137	LR: 0.064921
Training Epoch: 1 [32256/48750]	Loss: 1.4586	LR: 0.065445
Training Epoch: 1 [32512/48750]	Loss: 1.4473	LR: 0.065969
Training Epoch: 1 [32768/48750]	Loss: 1.4418	LR: 0.066492
Training Epoch: 1 [33024/48750]	Loss: 1.4846	LR: 0.067016
Training Epoch: 1 [33280/48750]	Loss: 1.4443	LR: 0.067539
Training Epoch: 1 [33536/48750]	Loss: 1.4148	LR: 0.068063
Training Epoch: 1 [33792/48750]	Loss: 1.5247	LR: 0.068586
Training Epoch: 1 [34048/48750]	Loss: 1.3790	LR: 0.069110
Training Epoch: 1 [34304/48750]	Loss: 1.3682	LR: 0.069634
Training Epoch: 1 [34560/48750]	Loss: 1.3750	LR: 0.070157
Training Epoch: 1 [34816/48750]	Loss: 1.4639	LR: 0.070681
Training Epoch: 1 [35072/48750]	Loss: 1.3587	LR: 0.071204
Training Epoch: 1 [35328/48750]	Loss: 1.4559	LR: 0.071728
Training Epoch: 1 [35584/48750]	Loss: 1.5146	LR: 0.072251
Training Epoch: 1 [35840/48750]	Loss: 1.4620	LR: 0.072775
Training Epoch: 1 [36096/48750]	Loss: 1.4844	LR: 0.073298
Training Epoch: 1 [36352/48750]	Loss: 1.4712	LR: 0.073822
Training Epoch: 1 [36608/48750]	Loss: 1.3921	LR: 0.074346
Training Epoch: 1 [36864/48750]	Loss: 1.3581	LR: 0.074869
Training Epoch: 1 [37120/48750]	Loss: 1.4467	LR: 0.075393
Training Epoch: 1 [37376/48750]	Loss: 1.4459	LR: 0.075916
Training Epoch: 1 [37632/48750]	Loss: 1.4116	LR: 0.076440
Training Epoch: 1 [37888/48750]	Loss: 1.3823	LR: 0.076963
Training Epoch: 1 [38144/48750]	Loss: 1.5422	LR: 0.077487
Training Epoch: 1 [38400/48750]	Loss: 1.3904	LR: 0.078010
Training Epoch: 1 [38656/48750]	Loss: 1.6844	LR: 0.078534
Training Epoch: 1 [38912/48750]	Loss: 1.3450	LR: 0.079058
Training Epoch: 1 [39168/48750]	Loss: 1.4228	LR: 0.079581
Training Epoch: 1 [39424/48750]	Loss: 1.4433	LR: 0.080105
Training Epoch: 1 [39680/48750]	Loss: 1.4414	LR: 0.080628
Training Epoch: 1 [39936/48750]	Loss: 1.2988	LR: 0.081152
Training Epoch: 1 [40192/48750]	Loss: 1.3616	LR: 0.081675
Training Epoch: 1 [40448/48750]	Loss: 1.3870	LR: 0.082199
Training Epoch: 1 [40704/48750]	Loss: 1.4780	LR: 0.082723
Training Epoch: 1 [40960/48750]	Loss: 1.3742	LR: 0.083246
Training Epoch: 1 [41216/48750]	Loss: 1.4213	LR: 0.083770
Training Epoch: 1 [41472/48750]	Loss: 1.4176	LR: 0.084293
Training Epoch: 1 [41728/48750]	Loss: 1.4339	LR: 0.084817
Training Epoch: 1 [41984/48750]	Loss: 1.3271	LR: 0.085340
Training Epoch: 1 [42240/48750]	Loss: 1.4985	LR: 0.085864
Training Epoch: 1 [42496/48750]	Loss: 1.2456	LR: 0.086387
Training Epoch: 1 [42752/48750]	Loss: 1.3115	LR: 0.086911
Training Epoch: 1 [43008/48750]	Loss: 1.2293	LR: 0.087435
Training Epoch: 1 [43264/48750]	Loss: 1.2753	LR: 0.087958
Training Epoch: 1 [43520/48750]	Loss: 1.2870	LR: 0.088482
Training Epoch: 1 [43776/48750]	Loss: 1.4117	LR: 0.089005
Training Epoch: 1 [44032/48750]	Loss: 1.4371	LR: 0.089529
Training Epoch: 1 [44288/48750]	Loss: 1.2926	LR: 0.090052
Training Epoch: 1 [44544/48750]	Loss: 1.3511	LR: 0.090576
Training Epoch: 1 [44800/48750]	Loss: 1.4020	LR: 0.091099
Training Epoch: 1 [45056/48750]	Loss: 1.3929	LR: 0.091623
Training Epoch: 1 [45312/48750]	Loss: 1.2575	LR: 0.092147
Training Epoch: 1 [45568/48750]	Loss: 1.3003	LR: 0.092670
Training Epoch: 1 [45824/48750]	Loss: 1.3121	LR: 0.093194
Training Epoch: 1 [46080/48750]	Loss: 1.2239	LR: 0.093717
Training Epoch: 1 [46336/48750]	Loss: 1.2572	LR: 0.094241
Training Epoch: 1 [46592/48750]	Loss: 1.1928	LR: 0.094764
Training Epoch: 1 [46848/48750]	Loss: 1.2732	LR: 0.095288
Training Epoch: 1 [47104/48750]	Loss: 1.3353	LR: 0.095812
Training Epoch: 1 [47360/48750]	Loss: 1.2411	LR: 0.096335
Training Epoch: 1 [47616/48750]	Loss: 1.3072	LR: 0.096859
Training Epoch: 1 [47872/48750]	Loss: 1.4976	LR: 0.097382
Training Epoch: 1 [48128/48750]	Loss: 1.2828	LR: 0.097906
Training Epoch: 1 [48384/48750]	Loss: 1.3401	LR: 0.098429
Training Epoch: 1 [48640/48750]	Loss: 1.2812	LR: 0.098953
Training Epoch: 1 [48750/48750]	Loss: 1.2974	LR: 0.099476
Epoch 1 - Average Train Loss: 1.6312, Train Accuracy: 0.3941
Epoch 1 training time consumed: 28.24s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0099, Accuracy: 0.3485, Time consumed:1.93s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_08h_34m_42s/AllCNN-Cifar10-seed1-ret75-1-best.pth
Training Epoch: 2 [256/48750]	Loss: 1.4520	LR: 0.100000
Training Epoch: 2 [512/48750]	Loss: 1.3479	LR: 0.100000
Training Epoch: 2 [768/48750]	Loss: 1.2743	LR: 0.100000
Training Epoch: 2 [1024/48750]	Loss: 1.3621	LR: 0.100000
Training Epoch: 2 [1280/48750]	Loss: 1.3157	LR: 0.100000
Training Epoch: 2 [1536/48750]	Loss: 1.3691	LR: 0.100000
Training Epoch: 2 [1792/48750]	Loss: 1.3116	LR: 0.100000
Training Epoch: 2 [2048/48750]	Loss: 1.3326	LR: 0.100000
Training Epoch: 2 [2304/48750]	Loss: 1.4787	LR: 0.100000
Training Epoch: 2 [2560/48750]	Loss: 1.4109	LR: 0.100000
Training Epoch: 2 [2816/48750]	Loss: 1.3261	LR: 0.100000
Training Epoch: 2 [3072/48750]	Loss: 1.3232	LR: 0.100000
Training Epoch: 2 [3328/48750]	Loss: 1.2895	LR: 0.100000
Training Epoch: 2 [3584/48750]	Loss: 1.2834	LR: 0.100000
Training Epoch: 2 [3840/48750]	Loss: 1.3716	LR: 0.100000
Training Epoch: 2 [4096/48750]	Loss: 1.3705	LR: 0.100000
Training Epoch: 2 [4352/48750]	Loss: 1.3205	LR: 0.100000
Training Epoch: 2 [4608/48750]	Loss: 1.2554	LR: 0.100000
Training Epoch: 2 [4864/48750]	Loss: 1.3380	LR: 0.100000
Training Epoch: 2 [5120/48750]	Loss: 1.3143	LR: 0.100000
Training Epoch: 2 [5376/48750]	Loss: 1.2987	LR: 0.100000
Training Epoch: 2 [5632/48750]	Loss: 1.2757	LR: 0.100000
Training Epoch: 2 [5888/48750]	Loss: 1.1981	LR: 0.100000
Training Epoch: 2 [6144/48750]	Loss: 1.2690	LR: 0.100000
Training Epoch: 2 [6400/48750]	Loss: 1.1314	LR: 0.100000
Training Epoch: 2 [6656/48750]	Loss: 1.2128	LR: 0.100000
Training Epoch: 2 [6912/48750]	Loss: 1.2144	LR: 0.100000
Training Epoch: 2 [7168/48750]	Loss: 1.3991	LR: 0.100000
Training Epoch: 2 [7424/48750]	Loss: 1.2332	LR: 0.100000
Training Epoch: 2 [7680/48750]	Loss: 1.2772	LR: 0.100000
Training Epoch: 2 [7936/48750]	Loss: 1.2629	LR: 0.100000
Training Epoch: 2 [8192/48750]	Loss: 1.1791	LR: 0.100000
Training Epoch: 2 [8448/48750]	Loss: 1.1963	LR: 0.100000
Training Epoch: 2 [8704/48750]	Loss: 1.2723	LR: 0.100000
Training Epoch: 2 [8960/48750]	Loss: 1.2576	LR: 0.100000
Training Epoch: 2 [9216/48750]	Loss: 1.2193	LR: 0.100000
Training Epoch: 2 [9472/48750]	Loss: 1.2426	LR: 0.100000
Training Epoch: 2 [9728/48750]	Loss: 1.2286	LR: 0.100000
Training Epoch: 2 [9984/48750]	Loss: 1.2674	LR: 0.100000
Training Epoch: 2 [10240/48750]	Loss: 1.2665	LR: 0.100000
Training Epoch: 2 [10496/48750]	Loss: 1.2615	LR: 0.100000
Training Epoch: 2 [10752/48750]	Loss: 1.2656	LR: 0.100000
Training Epoch: 2 [11008/48750]	Loss: 1.5537	LR: 0.100000
Training Epoch: 2 [11264/48750]	Loss: 1.3378	LR: 0.100000
Training Epoch: 2 [11520/48750]	Loss: 1.2136	LR: 0.100000
Training Epoch: 2 [11776/48750]	Loss: 1.1837	LR: 0.100000
Training Epoch: 2 [12032/48750]	Loss: 1.3064	LR: 0.100000
Training Epoch: 2 [12288/48750]	Loss: 1.3374	LR: 0.100000
Training Epoch: 2 [12544/48750]	Loss: 1.3431	LR: 0.100000
Training Epoch: 2 [12800/48750]	Loss: 1.4166	LR: 0.100000
Training Epoch: 2 [13056/48750]	Loss: 1.2369	LR: 0.100000
Training Epoch: 2 [13312/48750]	Loss: 1.2820	LR: 0.100000
Training Epoch: 2 [13568/48750]	Loss: 1.1731	LR: 0.100000
Training Epoch: 2 [13824/48750]	Loss: 1.3349	LR: 0.100000
Training Epoch: 2 [14080/48750]	Loss: 1.2596	LR: 0.100000
Training Epoch: 2 [14336/48750]	Loss: 1.3524	LR: 0.100000
Training Epoch: 2 [14592/48750]	Loss: 1.2185	LR: 0.100000
Training Epoch: 2 [14848/48750]	Loss: 1.2892	LR: 0.100000
Training Epoch: 2 [15104/48750]	Loss: 1.3472	LR: 0.100000
Training Epoch: 2 [15360/48750]	Loss: 1.2097	LR: 0.100000
Training Epoch: 2 [15616/48750]	Loss: 1.0974	LR: 0.100000
Training Epoch: 2 [15872/48750]	Loss: 1.2463	LR: 0.100000
Training Epoch: 2 [16128/48750]	Loss: 1.1359	LR: 0.100000
Training Epoch: 2 [16384/48750]	Loss: 1.2198	LR: 0.100000
Training Epoch: 2 [16640/48750]	Loss: 1.2460	LR: 0.100000
Training Epoch: 2 [16896/48750]	Loss: 1.1353	LR: 0.100000
Training Epoch: 2 [17152/48750]	Loss: 1.2012	LR: 0.100000
Training Epoch: 2 [17408/48750]	Loss: 1.0996	LR: 0.100000
Training Epoch: 2 [17664/48750]	Loss: 1.1645	LR: 0.100000
Training Epoch: 2 [17920/48750]	Loss: 1.2161	LR: 0.100000
Training Epoch: 2 [18176/48750]	Loss: 1.1283	LR: 0.100000
Training Epoch: 2 [18432/48750]	Loss: 1.2254	LR: 0.100000
Training Epoch: 2 [18688/48750]	Loss: 1.2635	LR: 0.100000
Training Epoch: 2 [18944/48750]	Loss: 1.1361	LR: 0.100000
Training Epoch: 2 [19200/48750]	Loss: 1.2708	LR: 0.100000
Training Epoch: 2 [19456/48750]	Loss: 1.2075	LR: 0.100000
Training Epoch: 2 [19712/48750]	Loss: 1.2972	LR: 0.100000
Training Epoch: 2 [19968/48750]	Loss: 1.2558	LR: 0.100000
Training Epoch: 2 [20224/48750]	Loss: 1.1501	LR: 0.100000
Training Epoch: 2 [20480/48750]	Loss: 1.1594	LR: 0.100000
Training Epoch: 2 [20736/48750]	Loss: 1.2003	LR: 0.100000
Training Epoch: 2 [20992/48750]	Loss: 1.0709	LR: 0.100000
Training Epoch: 2 [21248/48750]	Loss: 1.1601	LR: 0.100000
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Training Epoch: 2 [48750/48750]	Loss: 0.9737	LR: 0.100000
Epoch 2 - Average Train Loss: 1.1781, Train Accuracy: 0.5725
Epoch 2 training time consumed: 26.72s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0057, Accuracy: 0.5392, Time consumed:0.85s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_08h_34m_42s/AllCNN-Cifar10-seed1-ret75-2-best.pth
Training Epoch: 3 [256/48750]	Loss: 1.0470	LR: 0.100000
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Training Epoch: 3 [48384/48750]	Loss: 0.9087	LR: 0.100000
Training Epoch: 3 [48640/48750]	Loss: 0.9136	LR: 0.100000
Training Epoch: 3 [48750/48750]	Loss: 0.8517	LR: 0.100000
Epoch 3 - Average Train Loss: 0.9697, Train Accuracy: 0.6561
Epoch 3 training time consumed: 26.88s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0050, Accuracy: 0.5798, Time consumed:0.88s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_08h_34m_42s/AllCNN-Cifar10-seed1-ret75-3-best.pth
Training Epoch: 4 [256/48750]	Loss: 0.8244	LR: 0.100000
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Training Epoch: 4 [48750/48750]	Loss: 0.9088	LR: 0.100000
Epoch 4 - Average Train Loss: 0.8511, Train Accuracy: 0.6990
Epoch 4 training time consumed: 27.07s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0052, Accuracy: 0.6061, Time consumed:0.85s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_08h_34m_42s/AllCNN-Cifar10-seed1-ret75-4-best.pth
Training Epoch: 5 [256/48750]	Loss: 0.7946	LR: 0.100000
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Training Epoch: 5 [48750/48750]	Loss: 0.8303	LR: 0.100000
Epoch 5 - Average Train Loss: 0.7593, Train Accuracy: 0.7345
Epoch 5 training time consumed: 27.02s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0035, Accuracy: 0.6931, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_08h_34m_42s/AllCNN-Cifar10-seed1-ret75-5-best.pth
Training Epoch: 6 [256/48750]	Loss: 0.6403	LR: 0.100000
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Training Epoch: 6 [48640/48750]	Loss: 0.8440	LR: 0.100000
Training Epoch: 6 [48750/48750]	Loss: 0.5767	LR: 0.100000
Epoch 6 - Average Train Loss: 0.6847, Train Accuracy: 0.7611
Epoch 6 training time consumed: 26.84s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0031, Accuracy: 0.7346, Time consumed:0.90s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_08h_34m_42s/AllCNN-Cifar10-seed1-ret75-6-best.pth
Training Epoch: 7 [256/48750]	Loss: 0.7216	LR: 0.100000
Training Epoch: 7 [512/48750]	Loss: 0.6335	LR: 0.100000
Training Epoch: 7 [768/48750]	Loss: 0.6403	LR: 0.100000
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Training Epoch: 7 [2304/48750]	Loss: 0.5760	LR: 0.100000
Training Epoch: 7 [2560/48750]	Loss: 0.6185	LR: 0.100000
Training Epoch: 7 [2816/48750]	Loss: 0.6167	LR: 0.100000
Training Epoch: 7 [3072/48750]	Loss: 0.5738	LR: 0.100000
Training Epoch: 7 [3328/48750]	Loss: 0.6713	LR: 0.100000
Training Epoch: 7 [3584/48750]	Loss: 0.8038	LR: 0.100000
Training Epoch: 7 [3840/48750]	Loss: 0.6135	LR: 0.100000
Training Epoch: 7 [4096/48750]	Loss: 0.5679	LR: 0.100000
Training Epoch: 7 [4352/48750]	Loss: 0.6392	LR: 0.100000
Training Epoch: 7 [4608/48750]	Loss: 0.6818	LR: 0.100000
Training Epoch: 7 [4864/48750]	Loss: 0.6144	LR: 0.100000
Training Epoch: 7 [5120/48750]	Loss: 0.6580	LR: 0.100000
Training Epoch: 7 [5376/48750]	Loss: 0.5884	LR: 0.100000
Training Epoch: 7 [5632/48750]	Loss: 0.5889	LR: 0.100000
Training Epoch: 7 [5888/48750]	Loss: 0.5824	LR: 0.100000
Training Epoch: 7 [6144/48750]	Loss: 0.6378	LR: 0.100000
Training Epoch: 7 [6400/48750]	Loss: 0.6180	LR: 0.100000
Training Epoch: 7 [6656/48750]	Loss: 0.5928	LR: 0.100000
Training Epoch: 7 [6912/48750]	Loss: 0.5474	LR: 0.100000
Training Epoch: 7 [7168/48750]	Loss: 0.7326	LR: 0.100000
Training Epoch: 7 [7424/48750]	Loss: 0.5286	LR: 0.100000
Training Epoch: 7 [7680/48750]	Loss: 0.6908	LR: 0.100000
Training Epoch: 7 [7936/48750]	Loss: 0.6185	LR: 0.100000
Training Epoch: 7 [8192/48750]	Loss: 0.5775	LR: 0.100000
Training Epoch: 7 [8448/48750]	Loss: 0.6228	LR: 0.100000
Training Epoch: 7 [8704/48750]	Loss: 0.5340	LR: 0.100000
Training Epoch: 7 [8960/48750]	Loss: 0.6749	LR: 0.100000
Training Epoch: 7 [9216/48750]	Loss: 0.7213	LR: 0.100000
Training Epoch: 7 [9472/48750]	Loss: 0.6738	LR: 0.100000
Training Epoch: 7 [9728/48750]	Loss: 0.6437	LR: 0.100000
Training Epoch: 7 [9984/48750]	Loss: 0.6947	LR: 0.100000
Training Epoch: 7 [10240/48750]	Loss: 0.5522	LR: 0.100000
Training Epoch: 7 [10496/48750]	Loss: 0.5284	LR: 0.100000
Training Epoch: 7 [10752/48750]	Loss: 0.6078	LR: 0.100000
Training Epoch: 7 [11008/48750]	Loss: 0.6458	LR: 0.100000
Training Epoch: 7 [11264/48750]	Loss: 0.5127	LR: 0.100000
Training Epoch: 7 [11520/48750]	Loss: 0.6752	LR: 0.100000
Training Epoch: 7 [11776/48750]	Loss: 0.7503	LR: 0.100000
Training Epoch: 7 [12032/48750]	Loss: 0.8221	LR: 0.100000
Training Epoch: 7 [12288/48750]	Loss: 0.6686	LR: 0.100000
Training Epoch: 7 [12544/48750]	Loss: 0.5540	LR: 0.100000
Training Epoch: 7 [12800/48750]	Loss: 0.7460	LR: 0.100000
Training Epoch: 7 [13056/48750]	Loss: 0.6715	LR: 0.100000
Training Epoch: 7 [13312/48750]	Loss: 0.6018	LR: 0.100000
Training Epoch: 7 [13568/48750]	Loss: 0.7173	LR: 0.100000
Training Epoch: 7 [13824/48750]	Loss: 0.5914	LR: 0.100000
Training Epoch: 7 [14080/48750]	Loss: 0.7888	LR: 0.100000
Training Epoch: 7 [14336/48750]	Loss: 0.6327	LR: 0.100000
Training Epoch: 7 [14592/48750]	Loss: 0.6496	LR: 0.100000
Training Epoch: 7 [14848/48750]	Loss: 0.5733	LR: 0.100000
Training Epoch: 7 [15104/48750]	Loss: 0.6724	LR: 0.100000
Training Epoch: 7 [15360/48750]	Loss: 0.6024	LR: 0.100000
Training Epoch: 7 [15616/48750]	Loss: 0.6552	LR: 0.100000
Training Epoch: 7 [15872/48750]	Loss: 0.5528	LR: 0.100000
Training Epoch: 7 [16128/48750]	Loss: 0.6322	LR: 0.100000
Training Epoch: 7 [16384/48750]	Loss: 0.6418	LR: 0.100000
Training Epoch: 7 [16640/48750]	Loss: 0.5869	LR: 0.100000
Training Epoch: 7 [16896/48750]	Loss: 0.5972	LR: 0.100000
Training Epoch: 7 [17152/48750]	Loss: 0.6989	LR: 0.100000
Training Epoch: 7 [17408/48750]	Loss: 0.6678	LR: 0.100000
Training Epoch: 7 [17664/48750]	Loss: 0.6919	LR: 0.100000
Training Epoch: 7 [17920/48750]	Loss: 0.6755	LR: 0.100000
Training Epoch: 7 [18176/48750]	Loss: 0.6797	LR: 0.100000
Training Epoch: 7 [18432/48750]	Loss: 0.6924	LR: 0.100000
Training Epoch: 7 [18688/48750]	Loss: 0.7732	LR: 0.100000
Training Epoch: 7 [18944/48750]	Loss: 0.6807	LR: 0.100000
Training Epoch: 7 [19200/48750]	Loss: 0.6343	LR: 0.100000
Training Epoch: 7 [19456/48750]	Loss: 0.6990	LR: 0.100000
Training Epoch: 7 [19712/48750]	Loss: 0.6027	LR: 0.100000
Training Epoch: 7 [19968/48750]	Loss: 0.6870	LR: 0.100000
Training Epoch: 7 [20224/48750]	Loss: 0.6891	LR: 0.100000
Training Epoch: 7 [20480/48750]	Loss: 0.5424	LR: 0.100000
Training Epoch: 7 [20736/48750]	Loss: 0.6542	LR: 0.100000
Training Epoch: 7 [20992/48750]	Loss: 0.6960	LR: 0.100000
Training Epoch: 7 [21248/48750]	Loss: 0.6093	LR: 0.100000
Training Epoch: 7 [21504/48750]	Loss: 0.6840	LR: 0.100000
Training Epoch: 7 [21760/48750]	Loss: 0.6739	LR: 0.100000
Training Epoch: 7 [22016/48750]	Loss: 0.5637	LR: 0.100000
Training Epoch: 7 [22272/48750]	Loss: 0.5812	LR: 0.100000
Training Epoch: 7 [22528/48750]	Loss: 0.5030	LR: 0.100000
Training Epoch: 7 [22784/48750]	Loss: 0.7685	LR: 0.100000
Training Epoch: 7 [23040/48750]	Loss: 0.5490	LR: 0.100000
Training Epoch: 7 [23296/48750]	Loss: 0.7272	LR: 0.100000
Training Epoch: 7 [23552/48750]	Loss: 0.5754	LR: 0.100000
Training Epoch: 7 [23808/48750]	Loss: 0.6572	LR: 0.100000
Training Epoch: 7 [24064/48750]	Loss: 0.5838	LR: 0.100000
Training Epoch: 7 [24320/48750]	Loss: 0.7220	LR: 0.100000
Training Epoch: 7 [24576/48750]	Loss: 0.5077	LR: 0.100000
Training Epoch: 7 [24832/48750]	Loss: 0.6663	LR: 0.100000
Training Epoch: 7 [25088/48750]	Loss: 0.6834	LR: 0.100000
Training Epoch: 7 [25344/48750]	Loss: 0.6938	LR: 0.100000
Training Epoch: 7 [25600/48750]	Loss: 0.6489	LR: 0.100000
Training Epoch: 7 [25856/48750]	Loss: 0.7167	LR: 0.100000
Training Epoch: 7 [26112/48750]	Loss: 0.7463	LR: 0.100000
Training Epoch: 7 [26368/48750]	Loss: 0.6591	LR: 0.100000
Training Epoch: 7 [26624/48750]	Loss: 0.6840	LR: 0.100000
Training Epoch: 7 [26880/48750]	Loss: 0.6149	LR: 0.100000
Training Epoch: 7 [27136/48750]	Loss: 0.6721	LR: 0.100000
Training Epoch: 7 [27392/48750]	Loss: 0.6435	LR: 0.100000
Training Epoch: 7 [27648/48750]	Loss: 0.6862	LR: 0.100000
Training Epoch: 7 [27904/48750]	Loss: 0.5905	LR: 0.100000
Training Epoch: 7 [28160/48750]	Loss: 0.5511	LR: 0.100000
Training Epoch: 7 [28416/48750]	Loss: 0.6288	LR: 0.100000
Training Epoch: 7 [28672/48750]	Loss: 0.6505	LR: 0.100000
Training Epoch: 7 [28928/48750]	Loss: 0.6889	LR: 0.100000
Training Epoch: 7 [29184/48750]	Loss: 0.6909	LR: 0.100000
Training Epoch: 7 [29440/48750]	Loss: 0.7041	LR: 0.100000
Training Epoch: 7 [29696/48750]	Loss: 0.6777	LR: 0.100000
Training Epoch: 7 [29952/48750]	Loss: 0.5996	LR: 0.100000
Training Epoch: 7 [30208/48750]	Loss: 0.7977	LR: 0.100000
Training Epoch: 7 [30464/48750]	Loss: 0.6321	LR: 0.100000
Training Epoch: 7 [30720/48750]	Loss: 0.6608	LR: 0.100000
Training Epoch: 7 [30976/48750]	Loss: 0.6426	LR: 0.100000
Training Epoch: 7 [31232/48750]	Loss: 0.5880	LR: 0.100000
Training Epoch: 7 [31488/48750]	Loss: 0.5406	LR: 0.100000
Training Epoch: 7 [31744/48750]	Loss: 0.6675	LR: 0.100000
Training Epoch: 7 [32000/48750]	Loss: 0.7142	LR: 0.100000
Training Epoch: 7 [32256/48750]	Loss: 0.6668	LR: 0.100000
Training Epoch: 7 [32512/48750]	Loss: 0.6965	LR: 0.100000
Training Epoch: 7 [32768/48750]	Loss: 0.5212	LR: 0.100000
Training Epoch: 7 [33024/48750]	Loss: 0.6579	LR: 0.100000
Training Epoch: 7 [33280/48750]	Loss: 0.6606	LR: 0.100000
Training Epoch: 7 [33536/48750]	Loss: 0.5270	LR: 0.100000
Training Epoch: 7 [33792/48750]	Loss: 0.5691	LR: 0.100000
Training Epoch: 7 [34048/48750]	Loss: 0.6181	LR: 0.100000
Training Epoch: 7 [34304/48750]	Loss: 0.6376	LR: 0.100000
Training Epoch: 7 [34560/48750]	Loss: 0.6724	LR: 0.100000
Training Epoch: 7 [34816/48750]	Loss: 0.6072	LR: 0.100000
Training Epoch: 7 [35072/48750]	Loss: 0.6430	LR: 0.100000
Training Epoch: 7 [35328/48750]	Loss: 0.6420	LR: 0.100000
Training Epoch: 7 [35584/48750]	Loss: 0.6151	LR: 0.100000
Training Epoch: 7 [35840/48750]	Loss: 0.6137	LR: 0.100000
Training Epoch: 7 [36096/48750]	Loss: 0.6760	LR: 0.100000
Training Epoch: 7 [36352/48750]	Loss: 0.6665	LR: 0.100000
Training Epoch: 7 [36608/48750]	Loss: 0.6986	LR: 0.100000
Training Epoch: 7 [36864/48750]	Loss: 0.4768	LR: 0.100000
Training Epoch: 7 [37120/48750]	Loss: 0.5471	LR: 0.100000
Training Epoch: 7 [37376/48750]	Loss: 0.6906	LR: 0.100000
Training Epoch: 7 [37632/48750]	Loss: 0.6091	LR: 0.100000
Training Epoch: 7 [37888/48750]	Loss: 0.5995	LR: 0.100000
Training Epoch: 7 [38144/48750]	Loss: 0.6054	LR: 0.100000
Training Epoch: 7 [38400/48750]	Loss: 0.6200	LR: 0.100000
Training Epoch: 7 [38656/48750]	Loss: 0.6040	LR: 0.100000
Training Epoch: 7 [38912/48750]	Loss: 0.5523	LR: 0.100000
Training Epoch: 7 [39168/48750]	Loss: 0.6413	LR: 0.100000
Training Epoch: 7 [39424/48750]	Loss: 0.6268	LR: 0.100000
Training Epoch: 7 [39680/48750]	Loss: 0.5452	LR: 0.100000
Training Epoch: 7 [39936/48750]	Loss: 0.6404	LR: 0.100000
Training Epoch: 7 [40192/48750]	Loss: 0.6282	LR: 0.100000
Training Epoch: 7 [40448/48750]	Loss: 0.6388	LR: 0.100000
Training Epoch: 7 [40704/48750]	Loss: 0.6644	LR: 0.100000
Training Epoch: 7 [40960/48750]	Loss: 0.7424	LR: 0.100000
Training Epoch: 7 [41216/48750]	Loss: 0.5506	LR: 0.100000
Training Epoch: 7 [41472/48750]	Loss: 0.7390	LR: 0.100000
Training Epoch: 7 [41728/48750]	Loss: 0.6794	LR: 0.100000
Training Epoch: 7 [41984/48750]	Loss: 0.5965	LR: 0.100000
Training Epoch: 7 [42240/48750]	Loss: 0.5868	LR: 0.100000
Training Epoch: 7 [42496/48750]	Loss: 0.5068	LR: 0.100000
Training Epoch: 7 [42752/48750]	Loss: 0.5930	LR: 0.100000
Training Epoch: 7 [43008/48750]	Loss: 0.6642	LR: 0.100000
Training Epoch: 7 [43264/48750]	Loss: 0.6526	LR: 0.100000
Training Epoch: 7 [43520/48750]	Loss: 0.5953	LR: 0.100000
Training Epoch: 7 [43776/48750]	Loss: 0.6931	LR: 0.100000
Training Epoch: 7 [44032/48750]	Loss: 0.6282	LR: 0.100000
Training Epoch: 7 [44288/48750]	Loss: 0.5749	LR: 0.100000
Training Epoch: 7 [44544/48750]	Loss: 0.5653	LR: 0.100000
Training Epoch: 7 [44800/48750]	Loss: 0.6432	LR: 0.100000
Training Epoch: 7 [45056/48750]	Loss: 0.5523	LR: 0.100000
Training Epoch: 7 [45312/48750]	Loss: 0.6344	LR: 0.100000
Training Epoch: 7 [45568/48750]	Loss: 0.5675	LR: 0.100000
Training Epoch: 7 [45824/48750]	Loss: 0.7012	LR: 0.100000
Training Epoch: 7 [46080/48750]	Loss: 0.6170	LR: 0.100000
Training Epoch: 7 [46336/48750]	Loss: 0.5824	LR: 0.100000
Training Epoch: 7 [46592/48750]	Loss: 0.7411	LR: 0.100000
Training Epoch: 7 [46848/48750]	Loss: 0.6886	LR: 0.100000
Training Epoch: 7 [47104/48750]	Loss: 0.6055	LR: 0.100000
Training Epoch: 7 [47360/48750]	Loss: 0.5827	LR: 0.100000
Training Epoch: 7 [47616/48750]	Loss: 0.6076	LR: 0.100000
Training Epoch: 7 [47872/48750]	Loss: 0.6244	LR: 0.100000
Training Epoch: 7 [48128/48750]	Loss: 0.5927	LR: 0.100000
Training Epoch: 7 [48384/48750]	Loss: 0.6203	LR: 0.100000
Training Epoch: 7 [48640/48750]	Loss: 0.6247	LR: 0.100000
Training Epoch: 7 [48750/48750]	Loss: 0.7392	LR: 0.100000
Epoch 7 - Average Train Loss: 0.6370, Train Accuracy: 0.7787
Epoch 7 training time consumed: 26.84s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0032, Accuracy: 0.7291, Time consumed:0.91s
Training Epoch: 8 [256/48750]	Loss: 0.5288	LR: 0.020000
Training Epoch: 8 [512/48750]	Loss: 0.5210	LR: 0.020000
Training Epoch: 8 [768/48750]	Loss: 0.5672	LR: 0.020000
Training Epoch: 8 [1024/48750]	Loss: 0.6590	LR: 0.020000
Training Epoch: 8 [1280/48750]	Loss: 0.5625	LR: 0.020000
Training Epoch: 8 [1536/48750]	Loss: 0.4517	LR: 0.020000
Training Epoch: 8 [1792/48750]	Loss: 0.5816	LR: 0.020000
Training Epoch: 8 [2048/48750]	Loss: 0.3694	LR: 0.020000
Training Epoch: 8 [2304/48750]	Loss: 0.5632	LR: 0.020000
Training Epoch: 8 [2560/48750]	Loss: 0.5071	LR: 0.020000
Training Epoch: 8 [2816/48750]	Loss: 0.5491	LR: 0.020000
Training Epoch: 8 [3072/48750]	Loss: 0.5233	LR: 0.020000
Training Epoch: 8 [3328/48750]	Loss: 0.6174	LR: 0.020000
Training Epoch: 8 [3584/48750]	Loss: 0.5987	LR: 0.020000
Training Epoch: 8 [3840/48750]	Loss: 0.5533	LR: 0.020000
Training Epoch: 8 [4096/48750]	Loss: 0.4921	LR: 0.020000
Training Epoch: 8 [4352/48750]	Loss: 0.5683	LR: 0.020000
Training Epoch: 8 [4608/48750]	Loss: 0.4777	LR: 0.020000
Training Epoch: 8 [4864/48750]	Loss: 0.4766	LR: 0.020000
Training Epoch: 8 [5120/48750]	Loss: 0.5105	LR: 0.020000
Training Epoch: 8 [5376/48750]	Loss: 0.5635	LR: 0.020000
Training Epoch: 8 [5632/48750]	Loss: 0.4626	LR: 0.020000
Training Epoch: 8 [5888/48750]	Loss: 0.3851	LR: 0.020000
Training Epoch: 8 [6144/48750]	Loss: 0.5336	LR: 0.020000
Training Epoch: 8 [6400/48750]	Loss: 0.3535	LR: 0.020000
Training Epoch: 8 [6656/48750]	Loss: 0.4668	LR: 0.020000
Training Epoch: 8 [6912/48750]	Loss: 0.6601	LR: 0.020000
Training Epoch: 8 [7168/48750]	Loss: 0.6105	LR: 0.020000
Training Epoch: 8 [7424/48750]	Loss: 0.5252	LR: 0.020000
Training Epoch: 8 [7680/48750]	Loss: 0.6087	LR: 0.020000
Training Epoch: 8 [7936/48750]	Loss: 0.4351	LR: 0.020000
Training Epoch: 8 [8192/48750]	Loss: 0.5231	LR: 0.020000
Training Epoch: 8 [8448/48750]	Loss: 0.4465	LR: 0.020000
Training Epoch: 8 [8704/48750]	Loss: 0.4777	LR: 0.020000
Training Epoch: 8 [8960/48750]	Loss: 0.6118	LR: 0.020000
Training Epoch: 8 [9216/48750]	Loss: 0.4975	LR: 0.020000
Training Epoch: 8 [9472/48750]	Loss: 0.5733	LR: 0.020000
Training Epoch: 8 [9728/48750]	Loss: 0.5423	LR: 0.020000
Training Epoch: 8 [9984/48750]	Loss: 0.5405	LR: 0.020000
Training Epoch: 8 [10240/48750]	Loss: 0.4656	LR: 0.020000
Training Epoch: 8 [10496/48750]	Loss: 0.5557	LR: 0.020000
Training Epoch: 8 [10752/48750]	Loss: 0.4966	LR: 0.020000
Training Epoch: 8 [11008/48750]	Loss: 0.4458	LR: 0.020000
Training Epoch: 8 [11264/48750]	Loss: 0.5018	LR: 0.020000
Training Epoch: 8 [11520/48750]	Loss: 0.4851	LR: 0.020000
Training Epoch: 8 [11776/48750]	Loss: 0.5550	LR: 0.020000
Training Epoch: 8 [12032/48750]	Loss: 0.5421	LR: 0.020000
Training Epoch: 8 [12288/48750]	Loss: 0.5082	LR: 0.020000
Training Epoch: 8 [12544/48750]	Loss: 0.3835	LR: 0.020000
Training Epoch: 8 [12800/48750]	Loss: 0.4885	LR: 0.020000
Training Epoch: 8 [13056/48750]	Loss: 0.4961	LR: 0.020000
Training Epoch: 8 [13312/48750]	Loss: 0.5201	LR: 0.020000
Training Epoch: 8 [13568/48750]	Loss: 0.4647	LR: 0.020000
Training Epoch: 8 [13824/48750]	Loss: 0.3820	LR: 0.020000
Training Epoch: 8 [14080/48750]	Loss: 0.4609	LR: 0.020000
Training Epoch: 8 [14336/48750]	Loss: 0.4693	LR: 0.020000
Training Epoch: 8 [14592/48750]	Loss: 0.4765	LR: 0.020000
Training Epoch: 8 [14848/48750]	Loss: 0.4321	LR: 0.020000
Training Epoch: 8 [15104/48750]	Loss: 0.4872	LR: 0.020000
Training Epoch: 8 [15360/48750]	Loss: 0.4434	LR: 0.020000
Training Epoch: 8 [15616/48750]	Loss: 0.4733	LR: 0.020000
Training Epoch: 8 [15872/48750]	Loss: 0.4714	LR: 0.020000
Training Epoch: 8 [16128/48750]	Loss: 0.5559	LR: 0.020000
Training Epoch: 8 [16384/48750]	Loss: 0.4867	LR: 0.020000
Training Epoch: 8 [16640/48750]	Loss: 0.4949	LR: 0.020000
Training Epoch: 8 [16896/48750]	Loss: 0.4293	LR: 0.020000
Training Epoch: 8 [17152/48750]	Loss: 0.3780	LR: 0.020000
Training Epoch: 8 [17408/48750]	Loss: 0.4785	LR: 0.020000
Training Epoch: 8 [17664/48750]	Loss: 0.4522	LR: 0.020000
Training Epoch: 8 [17920/48750]	Loss: 0.4839	LR: 0.020000
Training Epoch: 8 [18176/48750]	Loss: 0.4734	LR: 0.020000
Training Epoch: 8 [18432/48750]	Loss: 0.5568	LR: 0.020000
Training Epoch: 8 [18688/48750]	Loss: 0.5342	LR: 0.020000
Training Epoch: 8 [18944/48750]	Loss: 0.4120	LR: 0.020000
Training Epoch: 8 [19200/48750]	Loss: 0.4369	LR: 0.020000
Training Epoch: 8 [19456/48750]	Loss: 0.4266	LR: 0.020000
Training Epoch: 8 [19712/48750]	Loss: 0.5481	LR: 0.020000
Training Epoch: 8 [19968/48750]	Loss: 0.4308	LR: 0.020000
Training Epoch: 8 [20224/48750]	Loss: 0.5438	LR: 0.020000
Training Epoch: 8 [20480/48750]	Loss: 0.6414	LR: 0.020000
Training Epoch: 8 [20736/48750]	Loss: 0.4667	LR: 0.020000
Training Epoch: 8 [20992/48750]	Loss: 0.3903	LR: 0.020000
Training Epoch: 8 [21248/48750]	Loss: 0.5333	LR: 0.020000
Training Epoch: 8 [21504/48750]	Loss: 0.4963	LR: 0.020000
Training Epoch: 8 [21760/48750]	Loss: 0.4444	LR: 0.020000
Training Epoch: 8 [22016/48750]	Loss: 0.5070	LR: 0.020000
Training Epoch: 8 [22272/48750]	Loss: 0.4719	LR: 0.020000
Training Epoch: 8 [22528/48750]	Loss: 0.5457	LR: 0.020000
Training Epoch: 8 [22784/48750]	Loss: 0.4675	LR: 0.020000
Training Epoch: 8 [23040/48750]	Loss: 0.3364	LR: 0.020000
Training Epoch: 8 [23296/48750]	Loss: 0.5284	LR: 0.020000
Training Epoch: 8 [23552/48750]	Loss: 0.4851	LR: 0.020000
Training Epoch: 8 [23808/48750]	Loss: 0.4227	LR: 0.020000
Training Epoch: 8 [24064/48750]	Loss: 0.5674	LR: 0.020000
Training Epoch: 8 [24320/48750]	Loss: 0.4784	LR: 0.020000
Training Epoch: 8 [24576/48750]	Loss: 0.4665	LR: 0.020000
Training Epoch: 8 [24832/48750]	Loss: 0.5176	LR: 0.020000
Training Epoch: 8 [25088/48750]	Loss: 0.3622	LR: 0.020000
Training Epoch: 8 [25344/48750]	Loss: 0.4595	LR: 0.020000
Training Epoch: 8 [25600/48750]	Loss: 0.3949	LR: 0.020000
Training Epoch: 8 [25856/48750]	Loss: 0.4115	LR: 0.020000
Training Epoch: 8 [26112/48750]	Loss: 0.4891	LR: 0.020000
Training Epoch: 8 [26368/48750]	Loss: 0.5461	LR: 0.020000
Training Epoch: 8 [26624/48750]	Loss: 0.3887	LR: 0.020000
Training Epoch: 8 [26880/48750]	Loss: 0.4111	LR: 0.020000
Training Epoch: 8 [27136/48750]	Loss: 0.4929	LR: 0.020000
Training Epoch: 8 [27392/48750]	Loss: 0.5112	LR: 0.020000
Training Epoch: 8 [27648/48750]	Loss: 0.5893	LR: 0.020000
Training Epoch: 8 [27904/48750]	Loss: 0.5231	LR: 0.020000
Training Epoch: 8 [28160/48750]	Loss: 0.5083	LR: 0.020000
Training Epoch: 8 [28416/48750]	Loss: 0.4049	LR: 0.020000
Training Epoch: 8 [28672/48750]	Loss: 0.5135	LR: 0.020000
Training Epoch: 8 [28928/48750]	Loss: 0.4986	LR: 0.020000
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Training Epoch: 8 [45056/48750]	Loss: 0.4748	LR: 0.020000
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Training Epoch: 8 [45568/48750]	Loss: 0.4405	LR: 0.020000
Training Epoch: 8 [45824/48750]	Loss: 0.3348	LR: 0.020000
Training Epoch: 8 [46080/48750]	Loss: 0.4698	LR: 0.020000
Training Epoch: 8 [46336/48750]	Loss: 0.4927	LR: 0.020000
Training Epoch: 8 [46592/48750]	Loss: 0.4303	LR: 0.020000
Training Epoch: 8 [46848/48750]	Loss: 0.3914	LR: 0.020000
Training Epoch: 8 [47104/48750]	Loss: 0.5057	LR: 0.020000
Training Epoch: 8 [47360/48750]	Loss: 0.5413	LR: 0.020000
Training Epoch: 8 [47616/48750]	Loss: 0.4577	LR: 0.020000
Training Epoch: 8 [47872/48750]	Loss: 0.3852	LR: 0.020000
Training Epoch: 8 [48128/48750]	Loss: 0.5467	LR: 0.020000
Training Epoch: 8 [48384/48750]	Loss: 0.4783	LR: 0.020000
Training Epoch: 8 [48640/48750]	Loss: 0.4827	LR: 0.020000
Training Epoch: 8 [48750/48750]	Loss: 0.4035	LR: 0.020000
Epoch 8 - Average Train Loss: 0.4850, Train Accuracy: 0.8327
Epoch 8 training time consumed: 26.98s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0018, Accuracy: 0.8432, Time consumed:0.92s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_08h_34m_42s/AllCNN-Cifar10-seed1-ret75-8-best.pth
Training Epoch: 9 [256/48750]	Loss: 0.4186	LR: 0.020000
Training Epoch: 9 [512/48750]	Loss: 0.5193	LR: 0.020000
Training Epoch: 9 [768/48750]	Loss: 0.4892	LR: 0.020000
Training Epoch: 9 [1024/48750]	Loss: 0.4672	LR: 0.020000
Training Epoch: 9 [1280/48750]	Loss: 0.3904	LR: 0.020000
Training Epoch: 9 [1536/48750]	Loss: 0.4567	LR: 0.020000
Training Epoch: 9 [1792/48750]	Loss: 0.4004	LR: 0.020000
Training Epoch: 9 [2048/48750]	Loss: 0.4005	LR: 0.020000
Training Epoch: 9 [2304/48750]	Loss: 0.5301	LR: 0.020000
Training Epoch: 9 [2560/48750]	Loss: 0.4601	LR: 0.020000
Training Epoch: 9 [2816/48750]	Loss: 0.4511	LR: 0.020000
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Training Epoch: 9 [45056/48750]	Loss: 0.4694	LR: 0.020000
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Training Epoch: 9 [46848/48750]	Loss: 0.5696	LR: 0.020000
Training Epoch: 9 [47104/48750]	Loss: 0.4726	LR: 0.020000
Training Epoch: 9 [47360/48750]	Loss: 0.4184	LR: 0.020000
Training Epoch: 9 [47616/48750]	Loss: 0.4487	LR: 0.020000
Training Epoch: 9 [47872/48750]	Loss: 0.4530	LR: 0.020000
Training Epoch: 9 [48128/48750]	Loss: 0.4713	LR: 0.020000
Training Epoch: 9 [48384/48750]	Loss: 0.5619	LR: 0.020000
Training Epoch: 9 [48640/48750]	Loss: 0.5101	LR: 0.020000
Training Epoch: 9 [48750/48750]	Loss: 0.5158	LR: 0.020000
Epoch 9 - Average Train Loss: 0.4403, Train Accuracy: 0.8487
Epoch 9 training time consumed: 27.45s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0017, Accuracy: 0.8564, Time consumed:0.88s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_08h_34m_42s/AllCNN-Cifar10-seed1-ret75-9-best.pth
Training Epoch: 10 [256/48750]	Loss: 0.3947	LR: 0.020000
Training Epoch: 10 [512/48750]	Loss: 0.3998	LR: 0.020000
Training Epoch: 10 [768/48750]	Loss: 0.3768	LR: 0.020000
Training Epoch: 10 [1024/48750]	Loss: 0.4601	LR: 0.020000
Training Epoch: 10 [1280/48750]	Loss: 0.3701	LR: 0.020000
Training Epoch: 10 [1536/48750]	Loss: 0.4247	LR: 0.020000
Training Epoch: 10 [1792/48750]	Loss: 0.4636	LR: 0.020000
Training Epoch: 10 [2048/48750]	Loss: 0.5123	LR: 0.020000
Training Epoch: 10 [2304/48750]	Loss: 0.4226	LR: 0.020000
Training Epoch: 10 [2560/48750]	Loss: 0.3996	LR: 0.020000
Training Epoch: 10 [2816/48750]	Loss: 0.4034	LR: 0.020000
Training Epoch: 10 [3072/48750]	Loss: 0.4019	LR: 0.020000
Training Epoch: 10 [3328/48750]	Loss: 0.4688	LR: 0.020000
Training Epoch: 10 [3584/48750]	Loss: 0.4393	LR: 0.020000
Training Epoch: 10 [3840/48750]	Loss: 0.4314	LR: 0.020000
Training Epoch: 10 [4096/48750]	Loss: 0.4252	LR: 0.020000
Training Epoch: 10 [4352/48750]	Loss: 0.3556	LR: 0.020000
Training Epoch: 10 [4608/48750]	Loss: 0.4121	LR: 0.020000
Training Epoch: 10 [4864/48750]	Loss: 0.5212	LR: 0.020000
Training Epoch: 10 [5120/48750]	Loss: 0.4288	LR: 0.020000
Training Epoch: 10 [5376/48750]	Loss: 0.3210	LR: 0.020000
Training Epoch: 10 [5632/48750]	Loss: 0.4290	LR: 0.020000
Training Epoch: 10 [5888/48750]	Loss: 0.4500	LR: 0.020000
Training Epoch: 10 [6144/48750]	Loss: 0.4431	LR: 0.020000
Training Epoch: 10 [6400/48750]	Loss: 0.4327	LR: 0.020000
Training Epoch: 10 [6656/48750]	Loss: 0.5238	LR: 0.020000
Training Epoch: 10 [6912/48750]	Loss: 0.3741	LR: 0.020000
Training Epoch: 10 [7168/48750]	Loss: 0.4023	LR: 0.020000
Training Epoch: 10 [7424/48750]	Loss: 0.4305	LR: 0.020000
Training Epoch: 10 [7680/48750]	Loss: 0.3473	LR: 0.020000
Training Epoch: 10 [7936/48750]	Loss: 0.4125	LR: 0.020000
Training Epoch: 10 [8192/48750]	Loss: 0.4099	LR: 0.020000
Training Epoch: 10 [8448/48750]	Loss: 0.3956	LR: 0.020000
Training Epoch: 10 [8704/48750]	Loss: 0.3841	LR: 0.020000
Training Epoch: 10 [8960/48750]	Loss: 0.4528	LR: 0.020000
Training Epoch: 10 [9216/48750]	Loss: 0.4392	LR: 0.020000
Training Epoch: 10 [9472/48750]	Loss: 0.4299	LR: 0.020000
Training Epoch: 10 [9728/48750]	Loss: 0.4088	LR: 0.020000
Training Epoch: 10 [9984/48750]	Loss: 0.3541	LR: 0.020000
Training Epoch: 10 [10240/48750]	Loss: 0.3269	LR: 0.020000
Training Epoch: 10 [10496/48750]	Loss: 0.4012	LR: 0.020000
Training Epoch: 10 [10752/48750]	Loss: 0.3309	LR: 0.020000
Training Epoch: 10 [11008/48750]	Loss: 0.3889	LR: 0.020000
Training Epoch: 10 [11264/48750]	Loss: 0.4663	LR: 0.020000
Training Epoch: 10 [11520/48750]	Loss: 0.4481	LR: 0.020000
Training Epoch: 10 [11776/48750]	Loss: 0.4703	LR: 0.020000
Training Epoch: 10 [12032/48750]	Loss: 0.4072	LR: 0.020000
Training Epoch: 10 [12288/48750]	Loss: 0.4055	LR: 0.020000
Training Epoch: 10 [12544/48750]	Loss: 0.5150	LR: 0.020000
Training Epoch: 10 [12800/48750]	Loss: 0.3681	LR: 0.020000
Training Epoch: 10 [13056/48750]	Loss: 0.4772	LR: 0.020000
Training Epoch: 10 [13312/48750]	Loss: 0.3475	LR: 0.020000
Training Epoch: 10 [13568/48750]	Loss: 0.4886	LR: 0.020000
Training Epoch: 10 [13824/48750]	Loss: 0.4925	LR: 0.020000
Training Epoch: 10 [14080/48750]	Loss: 0.3878	LR: 0.020000
Training Epoch: 10 [14336/48750]	Loss: 0.4855	LR: 0.020000
Training Epoch: 10 [14592/48750]	Loss: 0.4638	LR: 0.020000
Training Epoch: 10 [14848/48750]	Loss: 0.5256	LR: 0.020000
Training Epoch: 10 [15104/48750]	Loss: 0.4327	LR: 0.020000
Training Epoch: 10 [15360/48750]	Loss: 0.4078	LR: 0.020000
Training Epoch: 10 [15616/48750]	Loss: 0.3421	LR: 0.020000
Training Epoch: 10 [15872/48750]	Loss: 0.3375	LR: 0.020000
Training Epoch: 10 [16128/48750]	Loss: 0.4179	LR: 0.020000
Training Epoch: 10 [16384/48750]	Loss: 0.4264	LR: 0.020000
Training Epoch: 10 [16640/48750]	Loss: 0.3917	LR: 0.020000
Training Epoch: 10 [16896/48750]	Loss: 0.4328	LR: 0.020000
Training Epoch: 10 [17152/48750]	Loss: 0.4243	LR: 0.020000
Training Epoch: 10 [17408/48750]	Loss: 0.3598	LR: 0.020000
Training Epoch: 10 [17664/48750]	Loss: 0.4528	LR: 0.020000
Training Epoch: 10 [17920/48750]	Loss: 0.4744	LR: 0.020000
Training Epoch: 10 [18176/48750]	Loss: 0.3911	LR: 0.020000
Training Epoch: 10 [18432/48750]	Loss: 0.4005	LR: 0.020000
Training Epoch: 10 [18688/48750]	Loss: 0.4322	LR: 0.020000
Training Epoch: 10 [18944/48750]	Loss: 0.4079	LR: 0.020000
Training Epoch: 10 [19200/48750]	Loss: 0.3764	LR: 0.020000
Training Epoch: 10 [19456/48750]	Loss: 0.4934	LR: 0.020000
Training Epoch: 10 [19712/48750]	Loss: 0.3867	LR: 0.020000
Training Epoch: 10 [19968/48750]	Loss: 0.4191	LR: 0.020000
Training Epoch: 10 [20224/48750]	Loss: 0.4718	LR: 0.020000
Training Epoch: 10 [20480/48750]	Loss: 0.3594	LR: 0.020000
Training Epoch: 10 [20736/48750]	Loss: 0.3923	LR: 0.020000
Training Epoch: 10 [20992/48750]	Loss: 0.4452	LR: 0.020000
Training Epoch: 10 [21248/48750]	Loss: 0.4248	LR: 0.020000
Training Epoch: 10 [21504/48750]	Loss: 0.3794	LR: 0.020000
Training Epoch: 10 [21760/48750]	Loss: 0.4543	LR: 0.020000
Training Epoch: 10 [22016/48750]	Loss: 0.3754	LR: 0.020000
Training Epoch: 10 [22272/48750]	Loss: 0.4232	LR: 0.020000
Training Epoch: 10 [22528/48750]	Loss: 0.4109	LR: 0.020000
Training Epoch: 10 [22784/48750]	Loss: 0.4263	LR: 0.020000
Training Epoch: 10 [23040/48750]	Loss: 0.3683	LR: 0.020000
Training Epoch: 10 [23296/48750]	Loss: 0.3762	LR: 0.020000
Training Epoch: 10 [23552/48750]	Loss: 0.4090	LR: 0.020000
Training Epoch: 10 [23808/48750]	Loss: 0.4178	LR: 0.020000
Training Epoch: 10 [24064/48750]	Loss: 0.3678	LR: 0.020000
Training Epoch: 10 [24320/48750]	Loss: 0.3360	LR: 0.020000
Training Epoch: 10 [24576/48750]	Loss: 0.3564	LR: 0.020000
Training Epoch: 10 [24832/48750]	Loss: 0.3721	LR: 0.020000
Training Epoch: 10 [25088/48750]	Loss: 0.4077	LR: 0.020000
Training Epoch: 10 [25344/48750]	Loss: 0.4329	LR: 0.020000
Training Epoch: 10 [25600/48750]	Loss: 0.4003	LR: 0.020000
Training Epoch: 10 [25856/48750]	Loss: 0.4670	LR: 0.020000
Training Epoch: 10 [26112/48750]	Loss: 0.4587	LR: 0.020000
Training Epoch: 10 [26368/48750]	Loss: 0.3734	LR: 0.020000
Training Epoch: 10 [26624/48750]	Loss: 0.4225	LR: 0.020000
Training Epoch: 10 [26880/48750]	Loss: 0.4319	LR: 0.020000
Training Epoch: 10 [27136/48750]	Loss: 0.3053	LR: 0.020000
Training Epoch: 10 [27392/48750]	Loss: 0.4065	LR: 0.020000
Training Epoch: 10 [27648/48750]	Loss: 0.4382	LR: 0.020000
Training Epoch: 10 [27904/48750]	Loss: 0.4787	LR: 0.020000
Training Epoch: 10 [28160/48750]	Loss: 0.4441	LR: 0.020000
Training Epoch: 10 [28416/48750]	Loss: 0.3695	LR: 0.020000
Training Epoch: 10 [28672/48750]	Loss: 0.4141	LR: 0.020000
Training Epoch: 10 [28928/48750]	Loss: 0.4372	LR: 0.020000
Training Epoch: 10 [29184/48750]	Loss: 0.4685	LR: 0.020000
Training Epoch: 10 [29440/48750]	Loss: 0.4141	LR: 0.020000
Training Epoch: 10 [29696/48750]	Loss: 0.4733	LR: 0.020000
Training Epoch: 10 [29952/48750]	Loss: 0.4493	LR: 0.020000
Training Epoch: 10 [30208/48750]	Loss: 0.4097	LR: 0.020000
Training Epoch: 10 [30464/48750]	Loss: 0.3860	LR: 0.020000
Training Epoch: 10 [30720/48750]	Loss: 0.5700	LR: 0.020000
Training Epoch: 10 [30976/48750]	Loss: 0.4122	LR: 0.020000
Training Epoch: 10 [31232/48750]	Loss: 0.4076	LR: 0.020000
Training Epoch: 10 [31488/48750]	Loss: 0.4621	LR: 0.020000
Training Epoch: 10 [31744/48750]	Loss: 0.4039	LR: 0.020000
Training Epoch: 10 [32000/48750]	Loss: 0.4307	LR: 0.020000
Training Epoch: 10 [32256/48750]	Loss: 0.3955	LR: 0.020000
Training Epoch: 10 [32512/48750]	Loss: 0.4428	LR: 0.020000
Training Epoch: 10 [32768/48750]	Loss: 0.3851	LR: 0.020000
Training Epoch: 10 [33024/48750]	Loss: 0.5193	LR: 0.020000
Training Epoch: 10 [33280/48750]	Loss: 0.4130	LR: 0.020000
Training Epoch: 10 [33536/48750]	Loss: 0.5225	LR: 0.020000
Training Epoch: 10 [33792/48750]	Loss: 0.3529	LR: 0.020000
Training Epoch: 10 [34048/48750]	Loss: 0.3941	LR: 0.020000
Training Epoch: 10 [34304/48750]	Loss: 0.4273	LR: 0.020000
Training Epoch: 10 [34560/48750]	Loss: 0.3709	LR: 0.020000
Training Epoch: 10 [34816/48750]	Loss: 0.4709	LR: 0.020000
Training Epoch: 10 [35072/48750]	Loss: 0.3618	LR: 0.020000
Training Epoch: 10 [35328/48750]	Loss: 0.4722	LR: 0.020000
Training Epoch: 10 [35584/48750]	Loss: 0.5275	LR: 0.020000
Training Epoch: 10 [35840/48750]	Loss: 0.3406	LR: 0.020000
Training Epoch: 10 [36096/48750]	Loss: 0.5488	LR: 0.020000
Training Epoch: 10 [36352/48750]	Loss: 0.3876	LR: 0.020000
Training Epoch: 10 [36608/48750]	Loss: 0.4817	LR: 0.020000
Training Epoch: 10 [36864/48750]	Loss: 0.4077	LR: 0.020000
Training Epoch: 10 [37120/48750]	Loss: 0.4011	LR: 0.020000
Training Epoch: 10 [37376/48750]	Loss: 0.3977	LR: 0.020000
Training Epoch: 10 [37632/48750]	Loss: 0.3899	LR: 0.020000
Training Epoch: 10 [37888/48750]	Loss: 0.4078	LR: 0.020000
Training Epoch: 10 [38144/48750]	Loss: 0.3830	LR: 0.020000
Training Epoch: 10 [38400/48750]	Loss: 0.4114	LR: 0.020000
Training Epoch: 10 [38656/48750]	Loss: 0.3669	LR: 0.020000
Training Epoch: 10 [38912/48750]	Loss: 0.3903	LR: 0.020000
Training Epoch: 10 [39168/48750]	Loss: 0.4172	LR: 0.020000
Training Epoch: 10 [39424/48750]	Loss: 0.4556	LR: 0.020000
Training Epoch: 10 [39680/48750]	Loss: 0.3817	LR: 0.020000
Training Epoch: 10 [39936/48750]	Loss: 0.3598	LR: 0.020000
Training Epoch: 10 [40192/48750]	Loss: 0.3106	LR: 0.020000
Training Epoch: 10 [40448/48750]	Loss: 0.4337	LR: 0.020000
Training Epoch: 10 [40704/48750]	Loss: 0.3243	LR: 0.020000
Training Epoch: 10 [40960/48750]	Loss: 0.4001	LR: 0.020000
Training Epoch: 10 [41216/48750]	Loss: 0.3907	LR: 0.020000
Training Epoch: 10 [41472/48750]	Loss: 0.4271	LR: 0.020000
Training Epoch: 10 [41728/48750]	Loss: 0.4708	LR: 0.020000
Training Epoch: 10 [41984/48750]	Loss: 0.4288	LR: 0.020000
Training Epoch: 10 [42240/48750]	Loss: 0.3976	LR: 0.020000
Training Epoch: 10 [42496/48750]	Loss: 0.4401	LR: 0.020000
Training Epoch: 10 [42752/48750]	Loss: 0.4461	LR: 0.020000
Training Epoch: 10 [43008/48750]	Loss: 0.3216	LR: 0.020000
Training Epoch: 10 [43264/48750]	Loss: 0.4381	LR: 0.020000
Training Epoch: 10 [43520/48750]	Loss: 0.3683	LR: 0.020000
Training Epoch: 10 [43776/48750]	Loss: 0.4112	LR: 0.020000
Training Epoch: 10 [44032/48750]	Loss: 0.4498	LR: 0.020000
Training Epoch: 10 [44288/48750]	Loss: 0.4682	LR: 0.020000
Training Epoch: 10 [44544/48750]	Loss: 0.4413	LR: 0.020000
Training Epoch: 10 [44800/48750]	Loss: 0.4220	LR: 0.020000
Training Epoch: 10 [45056/48750]	Loss: 0.4239	LR: 0.020000
Training Epoch: 10 [45312/48750]	Loss: 0.4450	LR: 0.020000
Training Epoch: 10 [45568/48750]	Loss: 0.4125	LR: 0.020000
Training Epoch: 10 [45824/48750]	Loss: 0.4789	LR: 0.020000
Training Epoch: 10 [46080/48750]	Loss: 0.4420	LR: 0.020000
Training Epoch: 10 [46336/48750]	Loss: 0.3735	LR: 0.020000
Training Epoch: 10 [46592/48750]	Loss: 0.4026	LR: 0.020000
Training Epoch: 10 [46848/48750]	Loss: 0.4264	LR: 0.020000
Training Epoch: 10 [47104/48750]	Loss: 0.3641	LR: 0.020000
Training Epoch: 10 [47360/48750]	Loss: 0.3958	LR: 0.020000
Training Epoch: 10 [47616/48750]	Loss: 0.4195	LR: 0.020000
Training Epoch: 10 [47872/48750]	Loss: 0.4186	LR: 0.020000
Training Epoch: 10 [48128/48750]	Loss: 0.3609	LR: 0.020000
Training Epoch: 10 [48384/48750]	Loss: 0.4426	LR: 0.020000
Training Epoch: 10 [48640/48750]	Loss: 0.4443	LR: 0.020000
Training Epoch: 10 [48750/48750]	Loss: 0.4763	LR: 0.020000
Epoch 10 - Average Train Loss: 0.4176, Train Accuracy: 0.8555
Epoch 10 training time consumed: 26.97s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0018, Accuracy: 0.8445, Time consumed:0.88s
Training Epoch: 11 [256/48750]	Loss: 0.3887	LR: 0.020000
Training Epoch: 11 [512/48750]	Loss: 0.4167	LR: 0.020000
Training Epoch: 11 [768/48750]	Loss: 0.4113	LR: 0.020000
Training Epoch: 11 [1024/48750]	Loss: 0.3852	LR: 0.020000
Training Epoch: 11 [1280/48750]	Loss: 0.4121	LR: 0.020000
Training Epoch: 11 [1536/48750]	Loss: 0.3483	LR: 0.020000
Training Epoch: 11 [1792/48750]	Loss: 0.4195	LR: 0.020000
Training Epoch: 11 [2048/48750]	Loss: 0.3756	LR: 0.020000
Training Epoch: 11 [2304/48750]	Loss: 0.4260	LR: 0.020000
Training Epoch: 11 [2560/48750]	Loss: 0.3860	LR: 0.020000
Training Epoch: 11 [2816/48750]	Loss: 0.3626	LR: 0.020000
Training Epoch: 11 [3072/48750]	Loss: 0.4086	LR: 0.020000
Training Epoch: 11 [3328/48750]	Loss: 0.4461	LR: 0.020000
Training Epoch: 11 [3584/48750]	Loss: 0.3655	LR: 0.020000
Training Epoch: 11 [3840/48750]	Loss: 0.3313	LR: 0.020000
Training Epoch: 11 [4096/48750]	Loss: 0.3940	LR: 0.020000
Training Epoch: 11 [4352/48750]	Loss: 0.3725	LR: 0.020000
Training Epoch: 11 [4608/48750]	Loss: 0.4842	LR: 0.020000
Training Epoch: 11 [4864/48750]	Loss: 0.3789	LR: 0.020000
Training Epoch: 11 [5120/48750]	Loss: 0.4481	LR: 0.020000
Training Epoch: 11 [5376/48750]	Loss: 0.3841	LR: 0.020000
Training Epoch: 11 [5632/48750]	Loss: 0.3605	LR: 0.020000
Training Epoch: 11 [5888/48750]	Loss: 0.3577	LR: 0.020000
Training Epoch: 11 [6144/48750]	Loss: 0.4199	LR: 0.020000
Training Epoch: 11 [6400/48750]	Loss: 0.3811	LR: 0.020000
Training Epoch: 11 [6656/48750]	Loss: 0.4197	LR: 0.020000
Training Epoch: 11 [6912/48750]	Loss: 0.3855	LR: 0.020000
Training Epoch: 11 [7168/48750]	Loss: 0.4017	LR: 0.020000
Training Epoch: 11 [7424/48750]	Loss: 0.5041	LR: 0.020000
Training Epoch: 11 [7680/48750]	Loss: 0.4138	LR: 0.020000
Training Epoch: 11 [7936/48750]	Loss: 0.3460	LR: 0.020000
Training Epoch: 11 [8192/48750]	Loss: 0.3867	LR: 0.020000
Training Epoch: 11 [8448/48750]	Loss: 0.3756	LR: 0.020000
Training Epoch: 11 [8704/48750]	Loss: 0.3649	LR: 0.020000
Training Epoch: 11 [8960/48750]	Loss: 0.3592	LR: 0.020000
Training Epoch: 11 [9216/48750]	Loss: 0.4477	LR: 0.020000
Training Epoch: 11 [9472/48750]	Loss: 0.3625	LR: 0.020000
Training Epoch: 11 [9728/48750]	Loss: 0.4342	LR: 0.020000
Training Epoch: 11 [9984/48750]	Loss: 0.3976	LR: 0.020000
Training Epoch: 11 [10240/48750]	Loss: 0.3866	LR: 0.020000
Training Epoch: 11 [10496/48750]	Loss: 0.3695	LR: 0.020000
Training Epoch: 11 [10752/48750]	Loss: 0.4363	LR: 0.020000
Training Epoch: 11 [11008/48750]	Loss: 0.3415	LR: 0.020000
Training Epoch: 11 [11264/48750]	Loss: 0.3812	LR: 0.020000
Training Epoch: 11 [11520/48750]	Loss: 0.4028	LR: 0.020000
Training Epoch: 11 [11776/48750]	Loss: 0.3526	LR: 0.020000
Training Epoch: 11 [12032/48750]	Loss: 0.3930	LR: 0.020000
Training Epoch: 11 [12288/48750]	Loss: 0.3973	LR: 0.020000
Training Epoch: 11 [12544/48750]	Loss: 0.3544	LR: 0.020000
Training Epoch: 11 [12800/48750]	Loss: 0.4702	LR: 0.020000
Training Epoch: 11 [13056/48750]	Loss: 0.4480	LR: 0.020000
Training Epoch: 11 [13312/48750]	Loss: 0.4632	LR: 0.020000
Training Epoch: 11 [13568/48750]	Loss: 0.4412	LR: 0.020000
Training Epoch: 11 [13824/48750]	Loss: 0.3831	LR: 0.020000
Training Epoch: 11 [14080/48750]	Loss: 0.3765	LR: 0.020000
Training Epoch: 11 [14336/48750]	Loss: 0.4596	LR: 0.020000
Training Epoch: 11 [14592/48750]	Loss: 0.3699	LR: 0.020000
Training Epoch: 11 [14848/48750]	Loss: 0.5129	LR: 0.020000
Training Epoch: 11 [15104/48750]	Loss: 0.3414	LR: 0.020000
Training Epoch: 11 [15360/48750]	Loss: 0.4477	LR: 0.020000
Training Epoch: 11 [15616/48750]	Loss: 0.3121	LR: 0.020000
Training Epoch: 11 [15872/48750]	Loss: 0.4220	LR: 0.020000
Training Epoch: 11 [16128/48750]	Loss: 0.3823	LR: 0.020000
Training Epoch: 11 [16384/48750]	Loss: 0.4362	LR: 0.020000
Training Epoch: 11 [16640/48750]	Loss: 0.3164	LR: 0.020000
Training Epoch: 11 [16896/48750]	Loss: 0.3236	LR: 0.020000
Training Epoch: 11 [17152/48750]	Loss: 0.3805	LR: 0.020000
Training Epoch: 11 [17408/48750]	Loss: 0.3724	LR: 0.020000
Training Epoch: 11 [17664/48750]	Loss: 0.4325	LR: 0.020000
Training Epoch: 11 [17920/48750]	Loss: 0.3565	LR: 0.020000
Training Epoch: 11 [18176/48750]	Loss: 0.4443	LR: 0.020000
Training Epoch: 11 [18432/48750]	Loss: 0.4146	LR: 0.020000
Training Epoch: 11 [18688/48750]	Loss: 0.4397	LR: 0.020000
Training Epoch: 11 [18944/48750]	Loss: 0.4120	LR: 0.020000
Training Epoch: 11 [19200/48750]	Loss: 0.3894	LR: 0.020000
Training Epoch: 11 [19456/48750]	Loss: 0.4240	LR: 0.020000
Training Epoch: 11 [19712/48750]	Loss: 0.4063	LR: 0.020000
Training Epoch: 11 [19968/48750]	Loss: 0.3334	LR: 0.020000
Training Epoch: 11 [20224/48750]	Loss: 0.4366	LR: 0.020000
Training Epoch: 11 [20480/48750]	Loss: 0.4385	LR: 0.020000
Training Epoch: 11 [20736/48750]	Loss: 0.4508	LR: 0.020000
Training Epoch: 11 [20992/48750]	Loss: 0.3543	LR: 0.020000
Training Epoch: 11 [21248/48750]	Loss: 0.3855	LR: 0.020000
Training Epoch: 11 [21504/48750]	Loss: 0.3623	LR: 0.020000
Training Epoch: 11 [21760/48750]	Loss: 0.4297	LR: 0.020000
Training Epoch: 11 [22016/48750]	Loss: 0.3256	LR: 0.020000
Training Epoch: 11 [22272/48750]	Loss: 0.3823	LR: 0.020000
Training Epoch: 11 [22528/48750]	Loss: 0.4496	LR: 0.020000
Training Epoch: 11 [22784/48750]	Loss: 0.4049	LR: 0.020000
Training Epoch: 11 [23040/48750]	Loss: 0.3296	LR: 0.020000
Training Epoch: 11 [23296/48750]	Loss: 0.4375	LR: 0.020000
Training Epoch: 11 [23552/48750]	Loss: 0.3405	LR: 0.020000
Training Epoch: 11 [23808/48750]	Loss: 0.4793	LR: 0.020000
Training Epoch: 11 [24064/48750]	Loss: 0.4399	LR: 0.020000
Training Epoch: 11 [24320/48750]	Loss: 0.3694	LR: 0.020000
Training Epoch: 11 [24576/48750]	Loss: 0.4183	LR: 0.020000
Training Epoch: 11 [24832/48750]	Loss: 0.3315	LR: 0.020000
Training Epoch: 11 [25088/48750]	Loss: 0.4351	LR: 0.020000
Training Epoch: 11 [25344/48750]	Loss: 0.4132	LR: 0.020000
Training Epoch: 11 [25600/48750]	Loss: 0.4904	LR: 0.020000
Training Epoch: 11 [25856/48750]	Loss: 0.3342	LR: 0.020000
Training Epoch: 11 [26112/48750]	Loss: 0.4695	LR: 0.020000
Training Epoch: 11 [26368/48750]	Loss: 0.3563	LR: 0.020000
Training Epoch: 11 [26624/48750]	Loss: 0.3709	LR: 0.020000
Training Epoch: 11 [26880/48750]	Loss: 0.3159	LR: 0.020000
Training Epoch: 11 [27136/48750]	Loss: 0.3077	LR: 0.020000
Training Epoch: 11 [27392/48750]	Loss: 0.3640	LR: 0.020000
Training Epoch: 11 [27648/48750]	Loss: 0.3936	LR: 0.020000
Training Epoch: 11 [27904/48750]	Loss: 0.4736	LR: 0.020000
Training Epoch: 11 [28160/48750]	Loss: 0.3794	LR: 0.020000
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Training Epoch: 11 [29952/48750]	Loss: 0.4026	LR: 0.020000
Training Epoch: 11 [30208/48750]	Loss: 0.4649	LR: 0.020000
Training Epoch: 11 [30464/48750]	Loss: 0.4921	LR: 0.020000
Training Epoch: 11 [30720/48750]	Loss: 0.3867	LR: 0.020000
Training Epoch: 11 [30976/48750]	Loss: 0.3465	LR: 0.020000
Training Epoch: 11 [31232/48750]	Loss: 0.3503	LR: 0.020000
Training Epoch: 11 [31488/48750]	Loss: 0.4233	LR: 0.020000
Training Epoch: 11 [31744/48750]	Loss: 0.4278	LR: 0.020000
Training Epoch: 11 [32000/48750]	Loss: 0.4180	LR: 0.020000
Training Epoch: 11 [32256/48750]	Loss: 0.5118	LR: 0.020000
Training Epoch: 11 [32512/48750]	Loss: 0.3215	LR: 0.020000
Training Epoch: 11 [32768/48750]	Loss: 0.4122	LR: 0.020000
Training Epoch: 11 [33024/48750]	Loss: 0.4830	LR: 0.020000
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Training Epoch: 11 [33536/48750]	Loss: 0.3990	LR: 0.020000
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Training Epoch: 11 [34304/48750]	Loss: 0.4476	LR: 0.020000
Training Epoch: 11 [34560/48750]	Loss: 0.3512	LR: 0.020000
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Training Epoch: 11 [35072/48750]	Loss: 0.3686	LR: 0.020000
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Training Epoch: 11 [35584/48750]	Loss: 0.4060	LR: 0.020000
Training Epoch: 11 [35840/48750]	Loss: 0.3017	LR: 0.020000
Training Epoch: 11 [36096/48750]	Loss: 0.4158	LR: 0.020000
Training Epoch: 11 [36352/48750]	Loss: 0.3822	LR: 0.020000
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Training Epoch: 11 [43520/48750]	Loss: 0.3405	LR: 0.020000
Training Epoch: 11 [43776/48750]	Loss: 0.4031	LR: 0.020000
Training Epoch: 11 [44032/48750]	Loss: 0.3629	LR: 0.020000
Training Epoch: 11 [44288/48750]	Loss: 0.3335	LR: 0.020000
Training Epoch: 11 [44544/48750]	Loss: 0.3435	LR: 0.020000
Training Epoch: 11 [44800/48750]	Loss: 0.3346	LR: 0.020000
Training Epoch: 11 [45056/48750]	Loss: 0.3734	LR: 0.020000
Training Epoch: 11 [45312/48750]	Loss: 0.3793	LR: 0.020000
Training Epoch: 11 [45568/48750]	Loss: 0.3208	LR: 0.020000
Training Epoch: 11 [45824/48750]	Loss: 0.4199	LR: 0.020000
Training Epoch: 11 [46080/48750]	Loss: 0.4179	LR: 0.020000
Training Epoch: 11 [46336/48750]	Loss: 0.4533	LR: 0.020000
Training Epoch: 11 [46592/48750]	Loss: 0.4404	LR: 0.020000
Training Epoch: 11 [46848/48750]	Loss: 0.3743	LR: 0.020000
Training Epoch: 11 [47104/48750]	Loss: 0.4803	LR: 0.020000
Training Epoch: 11 [47360/48750]	Loss: 0.3643	LR: 0.020000
Training Epoch: 11 [47616/48750]	Loss: 0.4726	LR: 0.020000
Training Epoch: 11 [47872/48750]	Loss: 0.4575	LR: 0.020000
Training Epoch: 11 [48128/48750]	Loss: 0.4754	LR: 0.020000
Training Epoch: 11 [48384/48750]	Loss: 0.4780	LR: 0.020000
Training Epoch: 11 [48640/48750]	Loss: 0.4860	LR: 0.020000
Training Epoch: 11 [48750/48750]	Loss: 0.3279	LR: 0.020000
Epoch 11 - Average Train Loss: 0.3989, Train Accuracy: 0.8629
Epoch 11 training time consumed: 26.95s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0016, Accuracy: 0.8549, Time consumed:0.85s
Training Epoch: 12 [256/48750]	Loss: 0.4209	LR: 0.004000
Training Epoch: 12 [512/48750]	Loss: 0.4889	LR: 0.004000
Training Epoch: 12 [768/48750]	Loss: 0.4303	LR: 0.004000
Training Epoch: 12 [1024/48750]	Loss: 0.3920	LR: 0.004000
Training Epoch: 12 [1280/48750]	Loss: 0.3450	LR: 0.004000
Training Epoch: 12 [1536/48750]	Loss: 0.3939	LR: 0.004000
Training Epoch: 12 [1792/48750]	Loss: 0.3557	LR: 0.004000
Training Epoch: 12 [2048/48750]	Loss: 0.4049	LR: 0.004000
Training Epoch: 12 [2304/48750]	Loss: 0.3800	LR: 0.004000
Training Epoch: 12 [2560/48750]	Loss: 0.3964	LR: 0.004000
Training Epoch: 12 [2816/48750]	Loss: 0.3546	LR: 0.004000
Training Epoch: 12 [3072/48750]	Loss: 0.2975	LR: 0.004000
Training Epoch: 12 [3328/48750]	Loss: 0.3191	LR: 0.004000
Training Epoch: 12 [3584/48750]	Loss: 0.3456	LR: 0.004000
Training Epoch: 12 [3840/48750]	Loss: 0.4112	LR: 0.004000
Training Epoch: 12 [4096/48750]	Loss: 0.3730	LR: 0.004000
Training Epoch: 12 [4352/48750]	Loss: 0.2602	LR: 0.004000
Training Epoch: 12 [4608/48750]	Loss: 0.3930	LR: 0.004000
Training Epoch: 12 [4864/48750]	Loss: 0.3897	LR: 0.004000
Training Epoch: 12 [5120/48750]	Loss: 0.3529	LR: 0.004000
Training Epoch: 12 [5376/48750]	Loss: 0.3133	LR: 0.004000
Training Epoch: 12 [5632/48750]	Loss: 0.3895	LR: 0.004000
Training Epoch: 12 [5888/48750]	Loss: 0.3855	LR: 0.004000
Training Epoch: 12 [6144/48750]	Loss: 0.4128	LR: 0.004000
Training Epoch: 12 [6400/48750]	Loss: 0.3919	LR: 0.004000
Training Epoch: 12 [6656/48750]	Loss: 0.4271	LR: 0.004000
Training Epoch: 12 [6912/48750]	Loss: 0.3131	LR: 0.004000
Training Epoch: 12 [7168/48750]	Loss: 0.4031	LR: 0.004000
Training Epoch: 12 [7424/48750]	Loss: 0.3562	LR: 0.004000
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Training Epoch: 12 [8448/48750]	Loss: 0.4942	LR: 0.004000
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Training Epoch: 12 [8960/48750]	Loss: 0.3847	LR: 0.004000
Training Epoch: 12 [9216/48750]	Loss: 0.3473	LR: 0.004000
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Training Epoch: 12 [9984/48750]	Loss: 0.3562	LR: 0.004000
Training Epoch: 12 [10240/48750]	Loss: 0.3380	LR: 0.004000
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Training Epoch: 12 [11008/48750]	Loss: 0.4789	LR: 0.004000
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Training Epoch: 12 [11520/48750]	Loss: 0.3842	LR: 0.004000
Training Epoch: 12 [11776/48750]	Loss: 0.3580	LR: 0.004000
Training Epoch: 12 [12032/48750]	Loss: 0.3110	LR: 0.004000
Training Epoch: 12 [12288/48750]	Loss: 0.2860	LR: 0.004000
Training Epoch: 12 [12544/48750]	Loss: 0.3419	LR: 0.004000
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Training Epoch: 12 [15104/48750]	Loss: 0.3234	LR: 0.004000
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Training Epoch: 12 [15616/48750]	Loss: 0.2674	LR: 0.004000
Training Epoch: 12 [15872/48750]	Loss: 0.3389	LR: 0.004000
Training Epoch: 12 [16128/48750]	Loss: 0.3373	LR: 0.004000
Training Epoch: 12 [16384/48750]	Loss: 0.2914	LR: 0.004000
Training Epoch: 12 [16640/48750]	Loss: 0.3244	LR: 0.004000
Training Epoch: 12 [16896/48750]	Loss: 0.3420	LR: 0.004000
Training Epoch: 12 [17152/48750]	Loss: 0.3820	LR: 0.004000
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Training Epoch: 12 [18688/48750]	Loss: 0.3695	LR: 0.004000
Training Epoch: 12 [18944/48750]	Loss: 0.4074	LR: 0.004000
Training Epoch: 12 [19200/48750]	Loss: 0.3341	LR: 0.004000
Training Epoch: 12 [19456/48750]	Loss: 0.3201	LR: 0.004000
Training Epoch: 12 [19712/48750]	Loss: 0.3608	LR: 0.004000
Training Epoch: 12 [19968/48750]	Loss: 0.3092	LR: 0.004000
Training Epoch: 12 [20224/48750]	Loss: 0.3704	LR: 0.004000
Training Epoch: 12 [20480/48750]	Loss: 0.3391	LR: 0.004000
Training Epoch: 12 [20736/48750]	Loss: 0.3191	LR: 0.004000
Training Epoch: 12 [20992/48750]	Loss: 0.2991	LR: 0.004000
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Training Epoch: 12 [22016/48750]	Loss: 0.3195	LR: 0.004000
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Training Epoch: 12 [23040/48750]	Loss: 0.3862	LR: 0.004000
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Training Epoch: 12 [25600/48750]	Loss: 0.3989	LR: 0.004000
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Training Epoch: 12 [26112/48750]	Loss: 0.3672	LR: 0.004000
Training Epoch: 12 [26368/48750]	Loss: 0.4440	LR: 0.004000
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Training Epoch: 12 [27648/48750]	Loss: 0.3494	LR: 0.004000
Training Epoch: 12 [27904/48750]	Loss: 0.2766	LR: 0.004000
Training Epoch: 12 [28160/48750]	Loss: 0.3525	LR: 0.004000
Training Epoch: 12 [28416/48750]	Loss: 0.3353	LR: 0.004000
Training Epoch: 12 [28672/48750]	Loss: 0.3731	LR: 0.004000
Training Epoch: 12 [28928/48750]	Loss: 0.3018	LR: 0.004000
Training Epoch: 12 [29184/48750]	Loss: 0.2909	LR: 0.004000
Training Epoch: 12 [29440/48750]	Loss: 0.2590	LR: 0.004000
Training Epoch: 12 [29696/48750]	Loss: 0.3693	LR: 0.004000
Training Epoch: 12 [29952/48750]	Loss: 0.3619	LR: 0.004000
Training Epoch: 12 [30208/48750]	Loss: 0.2997	LR: 0.004000
Training Epoch: 12 [30464/48750]	Loss: 0.2666	LR: 0.004000
Training Epoch: 12 [30720/48750]	Loss: 0.3338	LR: 0.004000
Training Epoch: 12 [30976/48750]	Loss: 0.4640	LR: 0.004000
Training Epoch: 12 [31232/48750]	Loss: 0.3462	LR: 0.004000
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Training Epoch: 12 [32256/48750]	Loss: 0.3209	LR: 0.004000
Training Epoch: 12 [32512/48750]	Loss: 0.3200	LR: 0.004000
Training Epoch: 12 [32768/48750]	Loss: 0.3501	LR: 0.004000
Training Epoch: 12 [33024/48750]	Loss: 0.2809	LR: 0.004000
Training Epoch: 12 [33280/48750]	Loss: 0.3473	LR: 0.004000
Training Epoch: 12 [33536/48750]	Loss: 0.3532	LR: 0.004000
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Training Epoch: 12 [36096/48750]	Loss: 0.2996	LR: 0.004000
Training Epoch: 12 [36352/48750]	Loss: 0.4440	LR: 0.004000
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Training Epoch: 12 [37632/48750]	Loss: 0.3431	LR: 0.004000
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Training Epoch: 12 [39424/48750]	Loss: 0.3341	LR: 0.004000
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Training Epoch: 12 [40192/48750]	Loss: 0.3306	LR: 0.004000
Training Epoch: 12 [40448/48750]	Loss: 0.3789	LR: 0.004000
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Training Epoch: 12 [45056/48750]	Loss: 0.4545	LR: 0.004000
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Training Epoch: 12 [45824/48750]	Loss: 0.3676	LR: 0.004000
Training Epoch: 12 [46080/48750]	Loss: 0.3757	LR: 0.004000
Training Epoch: 12 [46336/48750]	Loss: 0.3952	LR: 0.004000
Training Epoch: 12 [46592/48750]	Loss: 0.3578	LR: 0.004000
Training Epoch: 12 [46848/48750]	Loss: 0.3914	LR: 0.004000
Training Epoch: 12 [47104/48750]	Loss: 0.2781	LR: 0.004000
Training Epoch: 12 [47360/48750]	Loss: 0.3347	LR: 0.004000
Training Epoch: 12 [47616/48750]	Loss: 0.3158	LR: 0.004000
Training Epoch: 12 [47872/48750]	Loss: 0.3072	LR: 0.004000
Training Epoch: 12 [48128/48750]	Loss: 0.3716	LR: 0.004000
Training Epoch: 12 [48384/48750]	Loss: 0.4029	LR: 0.004000
Training Epoch: 12 [48640/48750]	Loss: 0.3258	LR: 0.004000
Training Epoch: 12 [48750/48750]	Loss: 0.3136	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3556, Train Accuracy: 0.8767
Epoch 12 training time consumed: 27.20s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0015, Accuracy: 0.8719, Time consumed:0.90s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_08h_34m_42s/AllCNN-Cifar10-seed1-ret75-12-best.pth
Training Epoch: 13 [256/48750]	Loss: 0.3731	LR: 0.004000
Training Epoch: 13 [512/48750]	Loss: 0.2920	LR: 0.004000
Training Epoch: 13 [768/48750]	Loss: 0.3707	LR: 0.004000
Training Epoch: 13 [1024/48750]	Loss: 0.3592	LR: 0.004000
Training Epoch: 13 [1280/48750]	Loss: 0.3514	LR: 0.004000
Training Epoch: 13 [1536/48750]	Loss: 0.3895	LR: 0.004000
Training Epoch: 13 [1792/48750]	Loss: 0.3503	LR: 0.004000
Training Epoch: 13 [2048/48750]	Loss: 0.3159	LR: 0.004000
Training Epoch: 13 [2304/48750]	Loss: 0.3549	LR: 0.004000
Training Epoch: 13 [2560/48750]	Loss: 0.3051	LR: 0.004000
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Training Epoch: 13 [47872/48750]	Loss: 0.3199	LR: 0.004000
Training Epoch: 13 [48128/48750]	Loss: 0.2934	LR: 0.004000
Training Epoch: 13 [48384/48750]	Loss: 0.4189	LR: 0.004000
Training Epoch: 13 [48640/48750]	Loss: 0.3162	LR: 0.004000
Training Epoch: 13 [48750/48750]	Loss: 0.4935	LR: 0.004000
Epoch 13 - Average Train Loss: 0.3417, Train Accuracy: 0.8822
Epoch 13 training time consumed: 26.96s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0015, Accuracy: 0.8721, Time consumed:0.86s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_08h_34m_42s/AllCNN-Cifar10-seed1-ret75-13-best.pth
Training Epoch: 14 [256/48750]	Loss: 0.2744	LR: 0.004000
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Training Epoch: 14 [26624/48750]	Loss: 0.2526	LR: 0.004000
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Training Epoch: 14 [32256/48750]	Loss: 0.3769	LR: 0.004000
Training Epoch: 14 [32512/48750]	Loss: 0.3388	LR: 0.004000
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Training Epoch: 14 [45056/48750]	Loss: 0.2516	LR: 0.004000
Training Epoch: 14 [45312/48750]	Loss: 0.3650	LR: 0.004000
Training Epoch: 14 [45568/48750]	Loss: 0.3278	LR: 0.004000
Training Epoch: 14 [45824/48750]	Loss: 0.3435	LR: 0.004000
Training Epoch: 14 [46080/48750]	Loss: 0.3797	LR: 0.004000
Training Epoch: 14 [46336/48750]	Loss: 0.3613	LR: 0.004000
Training Epoch: 14 [46592/48750]	Loss: 0.3990	LR: 0.004000
Training Epoch: 14 [46848/48750]	Loss: 0.3053	LR: 0.004000
Training Epoch: 14 [47104/48750]	Loss: 0.3054	LR: 0.004000
Training Epoch: 14 [47360/48750]	Loss: 0.3341	LR: 0.004000
Training Epoch: 14 [47616/48750]	Loss: 0.3126	LR: 0.004000
Training Epoch: 14 [47872/48750]	Loss: 0.3124	LR: 0.004000
Training Epoch: 14 [48128/48750]	Loss: 0.4047	LR: 0.004000
Training Epoch: 14 [48384/48750]	Loss: 0.2956	LR: 0.004000
Training Epoch: 14 [48640/48750]	Loss: 0.2759	LR: 0.004000
Training Epoch: 14 [48750/48750]	Loss: 0.3263	LR: 0.004000
Epoch 14 - Average Train Loss: 0.3324, Train Accuracy: 0.8867
Epoch 14 training time consumed: 27.01s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0014, Accuracy: 0.8761, Time consumed:0.85s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_08h_34m_42s/AllCNN-Cifar10-seed1-ret75-14-best.pth
Training Epoch: 15 [256/48750]	Loss: 0.2776	LR: 0.004000
Training Epoch: 15 [512/48750]	Loss: 0.3087	LR: 0.004000
Training Epoch: 15 [768/48750]	Loss: 0.3980	LR: 0.004000
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Training Epoch: 15 [1280/48750]	Loss: 0.3687	LR: 0.004000
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Training Epoch: 15 [1792/48750]	Loss: 0.3291	LR: 0.004000
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Training Epoch: 15 [45056/48750]	Loss: 0.3366	LR: 0.004000
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Training Epoch: 15 [46336/48750]	Loss: 0.3391	LR: 0.004000
Training Epoch: 15 [46592/48750]	Loss: 0.3043	LR: 0.004000
Training Epoch: 15 [46848/48750]	Loss: 0.2899	LR: 0.004000
Training Epoch: 15 [47104/48750]	Loss: 0.2697	LR: 0.004000
Training Epoch: 15 [47360/48750]	Loss: 0.3026	LR: 0.004000
Training Epoch: 15 [47616/48750]	Loss: 0.2966	LR: 0.004000
Training Epoch: 15 [47872/48750]	Loss: 0.2807	LR: 0.004000
Training Epoch: 15 [48128/48750]	Loss: 0.3113	LR: 0.004000
Training Epoch: 15 [48384/48750]	Loss: 0.2819	LR: 0.004000
Training Epoch: 15 [48640/48750]	Loss: 0.4276	LR: 0.004000
Training Epoch: 15 [48750/48750]	Loss: 0.4020	LR: 0.004000
Epoch 15 - Average Train Loss: 0.3271, Train Accuracy: 0.8886
Epoch 15 training time consumed: 27.01s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0015, Accuracy: 0.8747, Time consumed:0.89s
Training Epoch: 16 [256/48750]	Loss: 0.3826	LR: 0.000800
Training Epoch: 16 [512/48750]	Loss: 0.2489	LR: 0.000800
Training Epoch: 16 [768/48750]	Loss: 0.3267	LR: 0.000800
Training Epoch: 16 [1024/48750]	Loss: 0.3110	LR: 0.000800
Training Epoch: 16 [1280/48750]	Loss: 0.2937	LR: 0.000800
Training Epoch: 16 [1536/48750]	Loss: 0.2549	LR: 0.000800
Training Epoch: 16 [1792/48750]	Loss: 0.3026	LR: 0.000800
Training Epoch: 16 [2048/48750]	Loss: 0.2953	LR: 0.000800
Training Epoch: 16 [2304/48750]	Loss: 0.2830	LR: 0.000800
Training Epoch: 16 [2560/48750]	Loss: 0.3452	LR: 0.000800
Training Epoch: 16 [2816/48750]	Loss: 0.3326	LR: 0.000800
Training Epoch: 16 [3072/48750]	Loss: 0.2937	LR: 0.000800
Training Epoch: 16 [3328/48750]	Loss: 0.3222	LR: 0.000800
Training Epoch: 16 [3584/48750]	Loss: 0.3284	LR: 0.000800
Training Epoch: 16 [3840/48750]	Loss: 0.2792	LR: 0.000800
Training Epoch: 16 [4096/48750]	Loss: 0.3794	LR: 0.000800
Training Epoch: 16 [4352/48750]	Loss: 0.3301	LR: 0.000800
Training Epoch: 16 [4608/48750]	Loss: 0.3050	LR: 0.000800
Training Epoch: 16 [4864/48750]	Loss: 0.3528	LR: 0.000800
Training Epoch: 16 [5120/48750]	Loss: 0.3550	LR: 0.000800
Training Epoch: 16 [5376/48750]	Loss: 0.3718	LR: 0.000800
Training Epoch: 16 [5632/48750]	Loss: 0.3451	LR: 0.000800
Training Epoch: 16 [5888/48750]	Loss: 0.3146	LR: 0.000800
Training Epoch: 16 [6144/48750]	Loss: 0.2838	LR: 0.000800
Training Epoch: 16 [6400/48750]	Loss: 0.2837	LR: 0.000800
Training Epoch: 16 [6656/48750]	Loss: 0.3011	LR: 0.000800
Training Epoch: 16 [6912/48750]	Loss: 0.3100	LR: 0.000800
Training Epoch: 16 [7168/48750]	Loss: 0.3270	LR: 0.000800
Training Epoch: 16 [7424/48750]	Loss: 0.1923	LR: 0.000800
Training Epoch: 16 [7680/48750]	Loss: 0.3113	LR: 0.000800
Training Epoch: 16 [7936/48750]	Loss: 0.3246	LR: 0.000800
Training Epoch: 16 [8192/48750]	Loss: 0.2524	LR: 0.000800
Training Epoch: 16 [8448/48750]	Loss: 0.3460	LR: 0.000800
Training Epoch: 16 [8704/48750]	Loss: 0.3205	LR: 0.000800
Training Epoch: 16 [8960/48750]	Loss: 0.3802	LR: 0.000800
Training Epoch: 16 [9216/48750]	Loss: 0.2329	LR: 0.000800
Training Epoch: 16 [9472/48750]	Loss: 0.3456	LR: 0.000800
Training Epoch: 16 [9728/48750]	Loss: 0.3444	LR: 0.000800
Training Epoch: 16 [9984/48750]	Loss: 0.2851	LR: 0.000800
Training Epoch: 16 [10240/48750]	Loss: 0.3394	LR: 0.000800
Training Epoch: 16 [10496/48750]	Loss: 0.2905	LR: 0.000800
Training Epoch: 16 [10752/48750]	Loss: 0.2530	LR: 0.000800
Training Epoch: 16 [11008/48750]	Loss: 0.2907	LR: 0.000800
Training Epoch: 16 [11264/48750]	Loss: 0.2740	LR: 0.000800
Training Epoch: 16 [11520/48750]	Loss: 0.2645	LR: 0.000800
Training Epoch: 16 [11776/48750]	Loss: 0.3038	LR: 0.000800
Training Epoch: 16 [12032/48750]	Loss: 0.3333	LR: 0.000800
Training Epoch: 16 [12288/48750]	Loss: 0.2900	LR: 0.000800
Training Epoch: 16 [12544/48750]	Loss: 0.2577	LR: 0.000800
Training Epoch: 16 [12800/48750]	Loss: 0.2969	LR: 0.000800
Training Epoch: 16 [13056/48750]	Loss: 0.3420	LR: 0.000800
Training Epoch: 16 [13312/48750]	Loss: 0.2688	LR: 0.000800
Training Epoch: 16 [13568/48750]	Loss: 0.3247	LR: 0.000800
Training Epoch: 16 [13824/48750]	Loss: 0.3337	LR: 0.000800
Training Epoch: 16 [14080/48750]	Loss: 0.2973	LR: 0.000800
Training Epoch: 16 [14336/48750]	Loss: 0.2960	LR: 0.000800
Training Epoch: 16 [14592/48750]	Loss: 0.3751	LR: 0.000800
Training Epoch: 16 [14848/48750]	Loss: 0.3800	LR: 0.000800
Training Epoch: 16 [15104/48750]	Loss: 0.2204	LR: 0.000800
Training Epoch: 16 [15360/48750]	Loss: 0.3272	LR: 0.000800
Training Epoch: 16 [15616/48750]	Loss: 0.2535	LR: 0.000800
Training Epoch: 16 [15872/48750]	Loss: 0.3392	LR: 0.000800
Training Epoch: 16 [16128/48750]	Loss: 0.3150	LR: 0.000800
Training Epoch: 16 [16384/48750]	Loss: 0.3547	LR: 0.000800
Training Epoch: 16 [16640/48750]	Loss: 0.3119	LR: 0.000800
Training Epoch: 16 [16896/48750]	Loss: 0.2320	LR: 0.000800
Training Epoch: 16 [17152/48750]	Loss: 0.3120	LR: 0.000800
Training Epoch: 16 [17408/48750]	Loss: 0.3352	LR: 0.000800
Training Epoch: 16 [17664/48750]	Loss: 0.4047	LR: 0.000800
Training Epoch: 16 [17920/48750]	Loss: 0.2784	LR: 0.000800
Training Epoch: 16 [18176/48750]	Loss: 0.3398	LR: 0.000800
Training Epoch: 16 [18432/48750]	Loss: 0.3492	LR: 0.000800
Training Epoch: 16 [18688/48750]	Loss: 0.3465	LR: 0.000800
Training Epoch: 16 [18944/48750]	Loss: 0.3515	LR: 0.000800
Training Epoch: 16 [19200/48750]	Loss: 0.3169	LR: 0.000800
Training Epoch: 16 [19456/48750]	Loss: 0.3276	LR: 0.000800
Training Epoch: 16 [19712/48750]	Loss: 0.2654	LR: 0.000800
Training Epoch: 16 [19968/48750]	Loss: 0.2655	LR: 0.000800
Training Epoch: 16 [20224/48750]	Loss: 0.2448	LR: 0.000800
Training Epoch: 16 [20480/48750]	Loss: 0.3583	LR: 0.000800
Training Epoch: 16 [20736/48750]	Loss: 0.2511	LR: 0.000800
Training Epoch: 16 [20992/48750]	Loss: 0.2806	LR: 0.000800
Training Epoch: 16 [21248/48750]	Loss: 0.3234	LR: 0.000800
Training Epoch: 16 [21504/48750]	Loss: 0.3620	LR: 0.000800
Training Epoch: 16 [21760/48750]	Loss: 0.3476	LR: 0.000800
Training Epoch: 16 [22016/48750]	Loss: 0.2918	LR: 0.000800
Training Epoch: 16 [22272/48750]	Loss: 0.3171	LR: 0.000800
Training Epoch: 16 [22528/48750]	Loss: 0.3272	LR: 0.000800
Training Epoch: 16 [22784/48750]	Loss: 0.3208	LR: 0.000800
Training Epoch: 16 [23040/48750]	Loss: 0.3295	LR: 0.000800
Training Epoch: 16 [23296/48750]	Loss: 0.2832	LR: 0.000800
Training Epoch: 16 [23552/48750]	Loss: 0.3352	LR: 0.000800
Training Epoch: 16 [23808/48750]	Loss: 0.3161	LR: 0.000800
Training Epoch: 16 [24064/48750]	Loss: 0.3611	LR: 0.000800
Training Epoch: 16 [24320/48750]	Loss: 0.3003	LR: 0.000800
Training Epoch: 16 [24576/48750]	Loss: 0.3668	LR: 0.000800
Training Epoch: 16 [24832/48750]	Loss: 0.3241	LR: 0.000800
Training Epoch: 16 [25088/48750]	Loss: 0.2633	LR: 0.000800
Training Epoch: 16 [25344/48750]	Loss: 0.3103	LR: 0.000800
Training Epoch: 16 [25600/48750]	Loss: 0.3437	LR: 0.000800
Training Epoch: 16 [25856/48750]	Loss: 0.4524	LR: 0.000800
Training Epoch: 16 [26112/48750]	Loss: 0.3686	LR: 0.000800
Training Epoch: 16 [26368/48750]	Loss: 0.2213	LR: 0.000800
Training Epoch: 16 [26624/48750]	Loss: 0.3183	LR: 0.000800
Training Epoch: 16 [26880/48750]	Loss: 0.2875	LR: 0.000800
Training Epoch: 16 [27136/48750]	Loss: 0.3738	LR: 0.000800
Training Epoch: 16 [27392/48750]	Loss: 0.2496	LR: 0.000800
Training Epoch: 16 [27648/48750]	Loss: 0.2866	LR: 0.000800
Training Epoch: 16 [27904/48750]	Loss: 0.3359	LR: 0.000800
Training Epoch: 16 [28160/48750]	Loss: 0.2885	LR: 0.000800
Training Epoch: 16 [28416/48750]	Loss: 0.3349	LR: 0.000800
Training Epoch: 16 [28672/48750]	Loss: 0.4151	LR: 0.000800
Training Epoch: 16 [28928/48750]	Loss: 0.2842	LR: 0.000800
Training Epoch: 16 [29184/48750]	Loss: 0.2846	LR: 0.000800
Training Epoch: 16 [29440/48750]	Loss: 0.3274	LR: 0.000800
Training Epoch: 16 [29696/48750]	Loss: 0.2851	LR: 0.000800
Training Epoch: 16 [29952/48750]	Loss: 0.2852	LR: 0.000800
Training Epoch: 16 [30208/48750]	Loss: 0.3731	LR: 0.000800
Training Epoch: 16 [30464/48750]	Loss: 0.3229	LR: 0.000800
Training Epoch: 16 [30720/48750]	Loss: 0.4058	LR: 0.000800
Training Epoch: 16 [30976/48750]	Loss: 0.3584	LR: 0.000800
Training Epoch: 16 [31232/48750]	Loss: 0.3270	LR: 0.000800
Training Epoch: 16 [31488/48750]	Loss: 0.3027	LR: 0.000800
Training Epoch: 16 [31744/48750]	Loss: 0.3437	LR: 0.000800
Training Epoch: 16 [32000/48750]	Loss: 0.3862	LR: 0.000800
Training Epoch: 16 [32256/48750]	Loss: 0.2696	LR: 0.000800
Training Epoch: 16 [32512/48750]	Loss: 0.3594	LR: 0.000800
Training Epoch: 16 [32768/48750]	Loss: 0.2702	LR: 0.000800
Training Epoch: 16 [33024/48750]	Loss: 0.2894	LR: 0.000800
Training Epoch: 16 [33280/48750]	Loss: 0.3241	LR: 0.000800
Training Epoch: 16 [33536/48750]	Loss: 0.3796	LR: 0.000800
Training Epoch: 16 [33792/48750]	Loss: 0.2525	LR: 0.000800
Training Epoch: 16 [34048/48750]	Loss: 0.3734	LR: 0.000800
Training Epoch: 16 [34304/48750]	Loss: 0.2820	LR: 0.000800
Training Epoch: 16 [34560/48750]	Loss: 0.3116	LR: 0.000800
Training Epoch: 16 [34816/48750]	Loss: 0.3237	LR: 0.000800
Training Epoch: 16 [35072/48750]	Loss: 0.3745	LR: 0.000800
Training Epoch: 16 [35328/48750]	Loss: 0.3135	LR: 0.000800
Training Epoch: 16 [35584/48750]	Loss: 0.2693	LR: 0.000800
Training Epoch: 16 [35840/48750]	Loss: 0.3651	LR: 0.000800
Training Epoch: 16 [36096/48750]	Loss: 0.2828	LR: 0.000800
Training Epoch: 16 [36352/48750]	Loss: 0.3538	LR: 0.000800
Training Epoch: 16 [36608/48750]	Loss: 0.2326	LR: 0.000800
Training Epoch: 16 [36864/48750]	Loss: 0.2676	LR: 0.000800
Training Epoch: 16 [37120/48750]	Loss: 0.2484	LR: 0.000800
Training Epoch: 16 [37376/48750]	Loss: 0.3640	LR: 0.000800
Training Epoch: 16 [37632/48750]	Loss: 0.3025	LR: 0.000800
Training Epoch: 16 [37888/48750]	Loss: 0.2540	LR: 0.000800
Training Epoch: 16 [38144/48750]	Loss: 0.3296	LR: 0.000800
Training Epoch: 16 [38400/48750]	Loss: 0.2802	LR: 0.000800
Training Epoch: 16 [38656/48750]	Loss: 0.3543	LR: 0.000800
Training Epoch: 16 [38912/48750]	Loss: 0.3307	LR: 0.000800
Training Epoch: 16 [39168/48750]	Loss: 0.3658	LR: 0.000800
Training Epoch: 16 [39424/48750]	Loss: 0.3163	LR: 0.000800
Training Epoch: 16 [39680/48750]	Loss: 0.2741	LR: 0.000800
Training Epoch: 16 [39936/48750]	Loss: 0.3148	LR: 0.000800
Training Epoch: 16 [40192/48750]	Loss: 0.2976	LR: 0.000800
Training Epoch: 16 [40448/48750]	Loss: 0.3657	LR: 0.000800
Training Epoch: 16 [40704/48750]	Loss: 0.3252	LR: 0.000800
Training Epoch: 16 [40960/48750]	Loss: 0.2778	LR: 0.000800
Training Epoch: 16 [41216/48750]	Loss: 0.2890	LR: 0.000800
Training Epoch: 16 [41472/48750]	Loss: 0.3423	LR: 0.000800
Training Epoch: 16 [41728/48750]	Loss: 0.3488	LR: 0.000800
Training Epoch: 16 [41984/48750]	Loss: 0.3456	LR: 0.000800
Training Epoch: 16 [42240/48750]	Loss: 0.3053	LR: 0.000800
Training Epoch: 16 [42496/48750]	Loss: 0.3237	LR: 0.000800
Training Epoch: 16 [42752/48750]	Loss: 0.2703	LR: 0.000800
Training Epoch: 16 [43008/48750]	Loss: 0.3403	LR: 0.000800
Training Epoch: 16 [43264/48750]	Loss: 0.2698	LR: 0.000800
Training Epoch: 16 [43520/48750]	Loss: 0.2594	LR: 0.000800
Training Epoch: 16 [43776/48750]	Loss: 0.3812	LR: 0.000800
Training Epoch: 16 [44032/48750]	Loss: 0.2073	LR: 0.000800
Training Epoch: 16 [44288/48750]	Loss: 0.3273	LR: 0.000800
Training Epoch: 16 [44544/48750]	Loss: 0.3013	LR: 0.000800
Training Epoch: 16 [44800/48750]	Loss: 0.3964	LR: 0.000800
Training Epoch: 16 [45056/48750]	Loss: 0.3857	LR: 0.000800
Training Epoch: 16 [45312/48750]	Loss: 0.2335	LR: 0.000800
Training Epoch: 16 [45568/48750]	Loss: 0.2212	LR: 0.000800
Training Epoch: 16 [45824/48750]	Loss: 0.3156	LR: 0.000800
Training Epoch: 16 [46080/48750]	Loss: 0.2646	LR: 0.000800
Training Epoch: 16 [46336/48750]	Loss: 0.3274	LR: 0.000800
Training Epoch: 16 [46592/48750]	Loss: 0.3051	LR: 0.000800
Training Epoch: 16 [46848/48750]	Loss: 0.3074	LR: 0.000800
Training Epoch: 16 [47104/48750]	Loss: 0.3030	LR: 0.000800
Training Epoch: 16 [47360/48750]	Loss: 0.3405	LR: 0.000800
Training Epoch: 16 [47616/48750]	Loss: 0.3561	LR: 0.000800
Training Epoch: 16 [47872/48750]	Loss: 0.3626	LR: 0.000800
Training Epoch: 16 [48128/48750]	Loss: 0.2550	LR: 0.000800
Training Epoch: 16 [48384/48750]	Loss: 0.3762	LR: 0.000800
Training Epoch: 16 [48640/48750]	Loss: 0.3268	LR: 0.000800
Training Epoch: 16 [48750/48750]	Loss: 0.2703	LR: 0.000800
Epoch 16 - Average Train Loss: 0.3142, Train Accuracy: 0.8926
Epoch 16 training time consumed: 27.07s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0014, Accuracy: 0.8761, Time consumed:0.84s
Training Epoch: 17 [256/48750]	Loss: 0.3632	LR: 0.000800
Training Epoch: 17 [512/48750]	Loss: 0.3619	LR: 0.000800
Training Epoch: 17 [768/48750]	Loss: 0.2419	LR: 0.000800
Training Epoch: 17 [1024/48750]	Loss: 0.2979	LR: 0.000800
Training Epoch: 17 [1280/48750]	Loss: 0.2717	LR: 0.000800
Training Epoch: 17 [1536/48750]	Loss: 0.3334	LR: 0.000800
Training Epoch: 17 [1792/48750]	Loss: 0.2689	LR: 0.000800
Training Epoch: 17 [2048/48750]	Loss: 0.3231	LR: 0.000800
Training Epoch: 17 [2304/48750]	Loss: 0.3289	LR: 0.000800
Training Epoch: 17 [2560/48750]	Loss: 0.2666	LR: 0.000800
Training Epoch: 17 [2816/48750]	Loss: 0.3120	LR: 0.000800
Training Epoch: 17 [3072/48750]	Loss: 0.2981	LR: 0.000800
Training Epoch: 17 [3328/48750]	Loss: 0.3103	LR: 0.000800
Training Epoch: 17 [3584/48750]	Loss: 0.2938	LR: 0.000800
Training Epoch: 17 [3840/48750]	Loss: 0.4079	LR: 0.000800
Training Epoch: 17 [4096/48750]	Loss: 0.2887	LR: 0.000800
Training Epoch: 17 [4352/48750]	Loss: 0.4097	LR: 0.000800
Training Epoch: 17 [4608/48750]	Loss: 0.3019	LR: 0.000800
Training Epoch: 17 [4864/48750]	Loss: 0.3321	LR: 0.000800
Training Epoch: 17 [5120/48750]	Loss: 0.3199	LR: 0.000800
Training Epoch: 17 [5376/48750]	Loss: 0.2294	LR: 0.000800
Training Epoch: 17 [5632/48750]	Loss: 0.4173	LR: 0.000800
Training Epoch: 17 [5888/48750]	Loss: 0.2605	LR: 0.000800
Training Epoch: 17 [6144/48750]	Loss: 0.3530	LR: 0.000800
Training Epoch: 17 [6400/48750]	Loss: 0.2930	LR: 0.000800
Training Epoch: 17 [6656/48750]	Loss: 0.2675	LR: 0.000800
Training Epoch: 17 [6912/48750]	Loss: 0.2986	LR: 0.000800
Training Epoch: 17 [7168/48750]	Loss: 0.3313	LR: 0.000800
Training Epoch: 17 [7424/48750]	Loss: 0.3526	LR: 0.000800
Training Epoch: 17 [7680/48750]	Loss: 0.2945	LR: 0.000800
Training Epoch: 17 [7936/48750]	Loss: 0.2368	LR: 0.000800
Training Epoch: 17 [8192/48750]	Loss: 0.3526	LR: 0.000800
Training Epoch: 17 [8448/48750]	Loss: 0.3229	LR: 0.000800
Training Epoch: 17 [8704/48750]	Loss: 0.2934	LR: 0.000800
Training Epoch: 17 [8960/48750]	Loss: 0.3243	LR: 0.000800
Training Epoch: 17 [9216/48750]	Loss: 0.3613	LR: 0.000800
Training Epoch: 17 [9472/48750]	Loss: 0.3805	LR: 0.000800
Training Epoch: 17 [9728/48750]	Loss: 0.3309	LR: 0.000800
Training Epoch: 17 [9984/48750]	Loss: 0.3164	LR: 0.000800
Training Epoch: 17 [10240/48750]	Loss: 0.3210	LR: 0.000800
Training Epoch: 17 [10496/48750]	Loss: 0.2519	LR: 0.000800
Training Epoch: 17 [10752/48750]	Loss: 0.3191	LR: 0.000800
Training Epoch: 17 [11008/48750]	Loss: 0.2569	LR: 0.000800
Training Epoch: 17 [11264/48750]	Loss: 0.2944	LR: 0.000800
Training Epoch: 17 [11520/48750]	Loss: 0.3021	LR: 0.000800
Training Epoch: 17 [11776/48750]	Loss: 0.3367	LR: 0.000800
Training Epoch: 17 [12032/48750]	Loss: 0.2649	LR: 0.000800
Training Epoch: 17 [12288/48750]	Loss: 0.2897	LR: 0.000800
Training Epoch: 17 [12544/48750]	Loss: 0.3733	LR: 0.000800
Training Epoch: 17 [12800/48750]	Loss: 0.2945	LR: 0.000800
Training Epoch: 17 [13056/48750]	Loss: 0.2893	LR: 0.000800
Training Epoch: 17 [13312/48750]	Loss: 0.2691	LR: 0.000800
Training Epoch: 17 [13568/48750]	Loss: 0.3445	LR: 0.000800
Training Epoch: 17 [13824/48750]	Loss: 0.3151	LR: 0.000800
Training Epoch: 17 [14080/48750]	Loss: 0.3012	LR: 0.000800
Training Epoch: 17 [14336/48750]	Loss: 0.2779	LR: 0.000800
Training Epoch: 17 [14592/48750]	Loss: 0.3047	LR: 0.000800
Training Epoch: 17 [14848/48750]	Loss: 0.3199	LR: 0.000800
Training Epoch: 17 [15104/48750]	Loss: 0.3491	LR: 0.000800
Training Epoch: 17 [15360/48750]	Loss: 0.3226	LR: 0.000800
Training Epoch: 17 [15616/48750]	Loss: 0.2895	LR: 0.000800
Training Epoch: 17 [15872/48750]	Loss: 0.3353	LR: 0.000800
Training Epoch: 17 [16128/48750]	Loss: 0.3380	LR: 0.000800
Training Epoch: 17 [16384/48750]	Loss: 0.2889	LR: 0.000800
Training Epoch: 17 [16640/48750]	Loss: 0.2971	LR: 0.000800
Training Epoch: 17 [16896/48750]	Loss: 0.3273	LR: 0.000800
Training Epoch: 17 [17152/48750]	Loss: 0.2292	LR: 0.000800
Training Epoch: 17 [17408/48750]	Loss: 0.2892	LR: 0.000800
Training Epoch: 17 [17664/48750]	Loss: 0.3207	LR: 0.000800
Training Epoch: 17 [17920/48750]	Loss: 0.3412	LR: 0.000800
Training Epoch: 17 [18176/48750]	Loss: 0.3762	LR: 0.000800
Training Epoch: 17 [18432/48750]	Loss: 0.2983	LR: 0.000800
Training Epoch: 17 [18688/48750]	Loss: 0.2645	LR: 0.000800
Training Epoch: 17 [18944/48750]	Loss: 0.2638	LR: 0.000800
Training Epoch: 17 [19200/48750]	Loss: 0.3206	LR: 0.000800
Training Epoch: 17 [19456/48750]	Loss: 0.3304	LR: 0.000800
Training Epoch: 17 [19712/48750]	Loss: 0.1713	LR: 0.000800
Training Epoch: 17 [19968/48750]	Loss: 0.2704	LR: 0.000800
Training Epoch: 17 [20224/48750]	Loss: 0.3216	LR: 0.000800
Training Epoch: 17 [20480/48750]	Loss: 0.2695	LR: 0.000800
Training Epoch: 17 [20736/48750]	Loss: 0.3254	LR: 0.000800
Training Epoch: 17 [20992/48750]	Loss: 0.3140	LR: 0.000800
Training Epoch: 17 [21248/48750]	Loss: 0.2683	LR: 0.000800
Training Epoch: 17 [21504/48750]	Loss: 0.3072	LR: 0.000800
Training Epoch: 17 [21760/48750]	Loss: 0.3994	LR: 0.000800
Training Epoch: 17 [22016/48750]	Loss: 0.3100	LR: 0.000800
Training Epoch: 17 [22272/48750]	Loss: 0.3028	LR: 0.000800
Training Epoch: 17 [22528/48750]	Loss: 0.2985	LR: 0.000800
Training Epoch: 17 [22784/48750]	Loss: 0.2659	LR: 0.000800
Training Epoch: 17 [23040/48750]	Loss: 0.2397	LR: 0.000800
Training Epoch: 17 [23296/48750]	Loss: 0.2463	LR: 0.000800
Training Epoch: 17 [23552/48750]	Loss: 0.3989	LR: 0.000800
Training Epoch: 17 [23808/48750]	Loss: 0.2649	LR: 0.000800
Training Epoch: 17 [24064/48750]	Loss: 0.3786	LR: 0.000800
Training Epoch: 17 [24320/48750]	Loss: 0.3213	LR: 0.000800
Training Epoch: 17 [24576/48750]	Loss: 0.2831	LR: 0.000800
Training Epoch: 17 [24832/48750]	Loss: 0.3176	LR: 0.000800
Training Epoch: 17 [25088/48750]	Loss: 0.3008	LR: 0.000800
Training Epoch: 17 [25344/48750]	Loss: 0.4028	LR: 0.000800
Training Epoch: 17 [25600/48750]	Loss: 0.2632	LR: 0.000800
Training Epoch: 17 [25856/48750]	Loss: 0.3070	LR: 0.000800
Training Epoch: 17 [26112/48750]	Loss: 0.3015	LR: 0.000800
Training Epoch: 17 [26368/48750]	Loss: 0.3545	LR: 0.000800
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Training Epoch: 17 [31488/48750]	Loss: 0.3136	LR: 0.000800
Training Epoch: 17 [31744/48750]	Loss: 0.3546	LR: 0.000800
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Training Epoch: 17 [32256/48750]	Loss: 0.3389	LR: 0.000800
Training Epoch: 17 [32512/48750]	Loss: 0.2419	LR: 0.000800
Training Epoch: 17 [32768/48750]	Loss: 0.2587	LR: 0.000800
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Training Epoch: 17 [42240/48750]	Loss: 0.3436	LR: 0.000800
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Training Epoch: 17 [43264/48750]	Loss: 0.3036	LR: 0.000800
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Training Epoch: 17 [43776/48750]	Loss: 0.3518	LR: 0.000800
Training Epoch: 17 [44032/48750]	Loss: 0.3213	LR: 0.000800
Training Epoch: 17 [44288/48750]	Loss: 0.2845	LR: 0.000800
Training Epoch: 17 [44544/48750]	Loss: 0.3462	LR: 0.000800
Training Epoch: 17 [44800/48750]	Loss: 0.3445	LR: 0.000800
Training Epoch: 17 [45056/48750]	Loss: 0.3909	LR: 0.000800
Training Epoch: 17 [45312/48750]	Loss: 0.2754	LR: 0.000800
Training Epoch: 17 [45568/48750]	Loss: 0.3228	LR: 0.000800
Training Epoch: 17 [45824/48750]	Loss: 0.2820	LR: 0.000800
Training Epoch: 17 [46080/48750]	Loss: 0.2698	LR: 0.000800
Training Epoch: 17 [46336/48750]	Loss: 0.2937	LR: 0.000800
Training Epoch: 17 [46592/48750]	Loss: 0.3309	LR: 0.000800
Training Epoch: 17 [46848/48750]	Loss: 0.2435	LR: 0.000800
Training Epoch: 17 [47104/48750]	Loss: 0.3073	LR: 0.000800
Training Epoch: 17 [47360/48750]	Loss: 0.2845	LR: 0.000800
Training Epoch: 17 [47616/48750]	Loss: 0.2297	LR: 0.000800
Training Epoch: 17 [47872/48750]	Loss: 0.4528	LR: 0.000800
Training Epoch: 17 [48128/48750]	Loss: 0.3370	LR: 0.000800
Training Epoch: 17 [48384/48750]	Loss: 0.3408	LR: 0.000800
Training Epoch: 17 [48640/48750]	Loss: 0.3193	LR: 0.000800
Training Epoch: 17 [48750/48750]	Loss: 0.2909	LR: 0.000800
Epoch 17 - Average Train Loss: 0.3102, Train Accuracy: 0.8938
Epoch 17 training time consumed: 27.13s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0014, Accuracy: 0.8764, Time consumed:0.85s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_08h_34m_42s/AllCNN-Cifar10-seed1-ret75-17-best.pth
Training Epoch: 18 [256/48750]	Loss: 0.3887	LR: 0.000800
Training Epoch: 18 [512/48750]	Loss: 0.2735	LR: 0.000800
Training Epoch: 18 [768/48750]	Loss: 0.3415	LR: 0.000800
Training Epoch: 18 [1024/48750]	Loss: 0.2625	LR: 0.000800
Training Epoch: 18 [1280/48750]	Loss: 0.2838	LR: 0.000800
Training Epoch: 18 [1536/48750]	Loss: 0.2995	LR: 0.000800
Training Epoch: 18 [1792/48750]	Loss: 0.3736	LR: 0.000800
Training Epoch: 18 [2048/48750]	Loss: 0.3198	LR: 0.000800
Training Epoch: 18 [2304/48750]	Loss: 0.3007	LR: 0.000800
Training Epoch: 18 [2560/48750]	Loss: 0.3647	LR: 0.000800
Training Epoch: 18 [2816/48750]	Loss: 0.3243	LR: 0.000800
Training Epoch: 18 [3072/48750]	Loss: 0.3300	LR: 0.000800
Training Epoch: 18 [3328/48750]	Loss: 0.3112	LR: 0.000800
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Training Epoch: 18 [4096/48750]	Loss: 0.3761	LR: 0.000800
Training Epoch: 18 [4352/48750]	Loss: 0.3300	LR: 0.000800
Training Epoch: 18 [4608/48750]	Loss: 0.2780	LR: 0.000800
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Training Epoch: 18 [11776/48750]	Loss: 0.3529	LR: 0.000800
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Training Epoch: 18 [36864/48750]	Loss: 0.3087	LR: 0.000800
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Training Epoch: 18 [42496/48750]	Loss: 0.3561	LR: 0.000800
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Training Epoch: 18 [43264/48750]	Loss: 0.3213	LR: 0.000800
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Training Epoch: 18 [45056/48750]	Loss: 0.2948	LR: 0.000800
Training Epoch: 18 [45312/48750]	Loss: 0.3643	LR: 0.000800
Training Epoch: 18 [45568/48750]	Loss: 0.3264	LR: 0.000800
Training Epoch: 18 [45824/48750]	Loss: 0.3025	LR: 0.000800
Training Epoch: 18 [46080/48750]	Loss: 0.3812	LR: 0.000800
Training Epoch: 18 [46336/48750]	Loss: 0.2714	LR: 0.000800
Training Epoch: 18 [46592/48750]	Loss: 0.2794	LR: 0.000800
Training Epoch: 18 [46848/48750]	Loss: 0.2995	LR: 0.000800
Training Epoch: 18 [47104/48750]	Loss: 0.3182	LR: 0.000800
Training Epoch: 18 [47360/48750]	Loss: 0.3110	LR: 0.000800
Training Epoch: 18 [47616/48750]	Loss: 0.2924	LR: 0.000800
Training Epoch: 18 [47872/48750]	Loss: 0.2639	LR: 0.000800
Training Epoch: 18 [48128/48750]	Loss: 0.3303	LR: 0.000800
Training Epoch: 18 [48384/48750]	Loss: 0.2427	LR: 0.000800
Training Epoch: 18 [48640/48750]	Loss: 0.2223	LR: 0.000800
Training Epoch: 18 [48750/48750]	Loss: 0.2338	LR: 0.000800
Epoch 18 - Average Train Loss: 0.3091, Train Accuracy: 0.8945
Epoch 18 training time consumed: 26.98s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0014, Accuracy: 0.8766, Time consumed:0.86s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_08h_34m_42s/AllCNN-Cifar10-seed1-ret75-18-best.pth
Training Epoch: 19 [256/48750]	Loss: 0.3636	LR: 0.000800
Training Epoch: 19 [512/48750]	Loss: 0.2141	LR: 0.000800
Training Epoch: 19 [768/48750]	Loss: 0.2163	LR: 0.000800
Training Epoch: 19 [1024/48750]	Loss: 0.3476	LR: 0.000800
Training Epoch: 19 [1280/48750]	Loss: 0.3623	LR: 0.000800
Training Epoch: 19 [1536/48750]	Loss: 0.3063	LR: 0.000800
Training Epoch: 19 [1792/48750]	Loss: 0.2977	LR: 0.000800
Training Epoch: 19 [2048/48750]	Loss: 0.3198	LR: 0.000800
Training Epoch: 19 [2304/48750]	Loss: 0.2798	LR: 0.000800
Training Epoch: 19 [2560/48750]	Loss: 0.3057	LR: 0.000800
Training Epoch: 19 [2816/48750]	Loss: 0.2799	LR: 0.000800
Training Epoch: 19 [3072/48750]	Loss: 0.3218	LR: 0.000800
Training Epoch: 19 [3328/48750]	Loss: 0.2715	LR: 0.000800
Training Epoch: 19 [3584/48750]	Loss: 0.3457	LR: 0.000800
Training Epoch: 19 [3840/48750]	Loss: 0.2755	LR: 0.000800
Training Epoch: 19 [4096/48750]	Loss: 0.3550	LR: 0.000800
Training Epoch: 19 [4352/48750]	Loss: 0.3185	LR: 0.000800
Training Epoch: 19 [4608/48750]	Loss: 0.2503	LR: 0.000800
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Training Epoch: 19 [5120/48750]	Loss: 0.3388	LR: 0.000800
Training Epoch: 19 [5376/48750]	Loss: 0.3031	LR: 0.000800
Training Epoch: 19 [5632/48750]	Loss: 0.2840	LR: 0.000800
Training Epoch: 19 [5888/48750]	Loss: 0.3385	LR: 0.000800
Training Epoch: 19 [6144/48750]	Loss: 0.3388	LR: 0.000800
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Training Epoch: 19 [8192/48750]	Loss: 0.3725	LR: 0.000800
Training Epoch: 19 [8448/48750]	Loss: 0.3820	LR: 0.000800
Training Epoch: 19 [8704/48750]	Loss: 0.3361	LR: 0.000800
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Training Epoch: 19 [9216/48750]	Loss: 0.3030	LR: 0.000800
Training Epoch: 19 [9472/48750]	Loss: 0.3085	LR: 0.000800
Training Epoch: 19 [9728/48750]	Loss: 0.3366	LR: 0.000800
Training Epoch: 19 [9984/48750]	Loss: 0.2596	LR: 0.000800
Training Epoch: 19 [10240/48750]	Loss: 0.3633	LR: 0.000800
Training Epoch: 19 [10496/48750]	Loss: 0.2786	LR: 0.000800
Training Epoch: 19 [10752/48750]	Loss: 0.3605	LR: 0.000800
Training Epoch: 19 [11008/48750]	Loss: 0.3764	LR: 0.000800
Training Epoch: 19 [11264/48750]	Loss: 0.2572	LR: 0.000800
Training Epoch: 19 [11520/48750]	Loss: 0.2824	LR: 0.000800
Training Epoch: 19 [11776/48750]	Loss: 0.3531	LR: 0.000800
Training Epoch: 19 [12032/48750]	Loss: 0.2803	LR: 0.000800
Training Epoch: 19 [12288/48750]	Loss: 0.3221	LR: 0.000800
Training Epoch: 19 [12544/48750]	Loss: 0.2914	LR: 0.000800
Training Epoch: 19 [12800/48750]	Loss: 0.2791	LR: 0.000800
Training Epoch: 19 [13056/48750]	Loss: 0.2836	LR: 0.000800
Training Epoch: 19 [13312/48750]	Loss: 0.4021	LR: 0.000800
Training Epoch: 19 [13568/48750]	Loss: 0.3068	LR: 0.000800
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Training Epoch: 19 [14080/48750]	Loss: 0.2684	LR: 0.000800
Training Epoch: 19 [14336/48750]	Loss: 0.2261	LR: 0.000800
Training Epoch: 19 [14592/48750]	Loss: 0.3045	LR: 0.000800
Training Epoch: 19 [14848/48750]	Loss: 0.3171	LR: 0.000800
Training Epoch: 19 [15104/48750]	Loss: 0.3778	LR: 0.000800
Training Epoch: 19 [15360/48750]	Loss: 0.3569	LR: 0.000800
Training Epoch: 19 [15616/48750]	Loss: 0.3550	LR: 0.000800
Training Epoch: 19 [15872/48750]	Loss: 0.3030	LR: 0.000800
Training Epoch: 19 [16128/48750]	Loss: 0.3812	LR: 0.000800
Training Epoch: 19 [16384/48750]	Loss: 0.3193	LR: 0.000800
Training Epoch: 19 [16640/48750]	Loss: 0.4069	LR: 0.000800
Training Epoch: 19 [16896/48750]	Loss: 0.3075	LR: 0.000800
Training Epoch: 19 [17152/48750]	Loss: 0.3672	LR: 0.000800
Training Epoch: 19 [17408/48750]	Loss: 0.3642	LR: 0.000800
Training Epoch: 19 [17664/48750]	Loss: 0.3038	LR: 0.000800
Training Epoch: 19 [17920/48750]	Loss: 0.3560	LR: 0.000800
Training Epoch: 19 [18176/48750]	Loss: 0.2542	LR: 0.000800
Training Epoch: 19 [18432/48750]	Loss: 0.3134	LR: 0.000800
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Training Epoch: 19 [19200/48750]	Loss: 0.3829	LR: 0.000800
Training Epoch: 19 [19456/48750]	Loss: 0.3378	LR: 0.000800
Training Epoch: 19 [19712/48750]	Loss: 0.3856	LR: 0.000800
Training Epoch: 19 [19968/48750]	Loss: 0.2359	LR: 0.000800
Training Epoch: 19 [20224/48750]	Loss: 0.2870	LR: 0.000800
Training Epoch: 19 [20480/48750]	Loss: 0.3275	LR: 0.000800
Training Epoch: 19 [20736/48750]	Loss: 0.2891	LR: 0.000800
Training Epoch: 19 [20992/48750]	Loss: 0.3332	LR: 0.000800
Training Epoch: 19 [21248/48750]	Loss: 0.2627	LR: 0.000800
Training Epoch: 19 [21504/48750]	Loss: 0.3262	LR: 0.000800
Training Epoch: 19 [21760/48750]	Loss: 0.3518	LR: 0.000800
Training Epoch: 19 [22016/48750]	Loss: 0.2363	LR: 0.000800
Training Epoch: 19 [22272/48750]	Loss: 0.3382	LR: 0.000800
Training Epoch: 19 [22528/48750]	Loss: 0.2558	LR: 0.000800
Training Epoch: 19 [22784/48750]	Loss: 0.3301	LR: 0.000800
Training Epoch: 19 [23040/48750]	Loss: 0.3417	LR: 0.000800
Training Epoch: 19 [23296/48750]	Loss: 0.3160	LR: 0.000800
Training Epoch: 19 [23552/48750]	Loss: 0.2861	LR: 0.000800
Training Epoch: 19 [23808/48750]	Loss: 0.2841	LR: 0.000800
Training Epoch: 19 [24064/48750]	Loss: 0.2332	LR: 0.000800
Training Epoch: 19 [24320/48750]	Loss: 0.3150	LR: 0.000800
Training Epoch: 19 [24576/48750]	Loss: 0.2244	LR: 0.000800
Training Epoch: 19 [24832/48750]	Loss: 0.2952	LR: 0.000800
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Training Epoch: 19 [28416/48750]	Loss: 0.2685	LR: 0.000800
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Training Epoch: 19 [35328/48750]	Loss: 0.2402	LR: 0.000800
Training Epoch: 19 [35584/48750]	Loss: 0.2735	LR: 0.000800
Training Epoch: 19 [35840/48750]	Loss: 0.1823	LR: 0.000800
Training Epoch: 19 [36096/48750]	Loss: 0.3504	LR: 0.000800
Training Epoch: 19 [36352/48750]	Loss: 0.2853	LR: 0.000800
Training Epoch: 19 [36608/48750]	Loss: 0.3264	LR: 0.000800
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Training Epoch: 19 [37120/48750]	Loss: 0.2685	LR: 0.000800
Training Epoch: 19 [37376/48750]	Loss: 0.3150	LR: 0.000800
Training Epoch: 19 [37632/48750]	Loss: 0.3109	LR: 0.000800
Training Epoch: 19 [37888/48750]	Loss: 0.3468	LR: 0.000800
Training Epoch: 19 [38144/48750]	Loss: 0.2648	LR: 0.000800
Training Epoch: 19 [38400/48750]	Loss: 0.3310	LR: 0.000800
Training Epoch: 19 [38656/48750]	Loss: 0.3643	LR: 0.000800
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Training Epoch: 19 [39168/48750]	Loss: 0.2515	LR: 0.000800
Training Epoch: 19 [39424/48750]	Loss: 0.3293	LR: 0.000800
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Training Epoch: 19 [40192/48750]	Loss: 0.3105	LR: 0.000800
Training Epoch: 19 [40448/48750]	Loss: 0.3366	LR: 0.000800
Training Epoch: 19 [40704/48750]	Loss: 0.3001	LR: 0.000800
Training Epoch: 19 [40960/48750]	Loss: 0.3094	LR: 0.000800
Training Epoch: 19 [41216/48750]	Loss: 0.2519	LR: 0.000800
Training Epoch: 19 [41472/48750]	Loss: 0.3124	LR: 0.000800
Training Epoch: 19 [41728/48750]	Loss: 0.2780	LR: 0.000800
Training Epoch: 19 [41984/48750]	Loss: 0.2622	LR: 0.000800
Training Epoch: 19 [42240/48750]	Loss: 0.2882	LR: 0.000800
Training Epoch: 19 [42496/48750]	Loss: 0.2949	LR: 0.000800
Training Epoch: 19 [42752/48750]	Loss: 0.2849	LR: 0.000800
Training Epoch: 19 [43008/48750]	Loss: 0.3527	LR: 0.000800
Training Epoch: 19 [43264/48750]	Loss: 0.3388	LR: 0.000800
Training Epoch: 19 [43520/48750]	Loss: 0.3326	LR: 0.000800
Training Epoch: 19 [43776/48750]	Loss: 0.3149	LR: 0.000800
Training Epoch: 19 [44032/48750]	Loss: 0.3652	LR: 0.000800
Training Epoch: 19 [44288/48750]	Loss: 0.4140	LR: 0.000800
Training Epoch: 19 [44544/48750]	Loss: 0.3379	LR: 0.000800
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Training Epoch: 19 [45056/48750]	Loss: 0.3599	LR: 0.000800
Training Epoch: 19 [45312/48750]	Loss: 0.3092	LR: 0.000800
Training Epoch: 19 [45568/48750]	Loss: 0.2778	LR: 0.000800
Training Epoch: 19 [45824/48750]	Loss: 0.3176	LR: 0.000800
Training Epoch: 19 [46080/48750]	Loss: 0.3215	LR: 0.000800
Training Epoch: 19 [46336/48750]	Loss: 0.3503	LR: 0.000800
Training Epoch: 19 [46592/48750]	Loss: 0.2538	LR: 0.000800
Training Epoch: 19 [46848/48750]	Loss: 0.3015	LR: 0.000800
Training Epoch: 19 [47104/48750]	Loss: 0.2928	LR: 0.000800
Training Epoch: 19 [47360/48750]	Loss: 0.2540	LR: 0.000800
Training Epoch: 19 [47616/48750]	Loss: 0.3076	LR: 0.000800
Training Epoch: 19 [47872/48750]	Loss: 0.3221	LR: 0.000800
Training Epoch: 19 [48128/48750]	Loss: 0.2777	LR: 0.000800
Training Epoch: 19 [48384/48750]	Loss: 0.3200	LR: 0.000800
Training Epoch: 19 [48640/48750]	Loss: 0.3254	LR: 0.000800
Training Epoch: 19 [48750/48750]	Loss: 0.3106	LR: 0.000800
Epoch 19 - Average Train Loss: 0.3077, Train Accuracy: 0.8947
Epoch 19 training time consumed: 27.10s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0014, Accuracy: 0.8771, Time consumed:0.90s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_08h_34m_42s/AllCNN-Cifar10-seed1-ret75-19-best.pth
Training Epoch: 20 [256/48750]	Loss: 0.3032	LR: 0.000800
Training Epoch: 20 [512/48750]	Loss: 0.2970	LR: 0.000800
Training Epoch: 20 [768/48750]	Loss: 0.2813	LR: 0.000800
Training Epoch: 20 [1024/48750]	Loss: 0.2709	LR: 0.000800
Training Epoch: 20 [1280/48750]	Loss: 0.2407	LR: 0.000800
Training Epoch: 20 [1536/48750]	Loss: 0.3393	LR: 0.000800
Training Epoch: 20 [1792/48750]	Loss: 0.3336	LR: 0.000800
Training Epoch: 20 [2048/48750]	Loss: 0.2964	LR: 0.000800
Training Epoch: 20 [2304/48750]	Loss: 0.2771	LR: 0.000800
Training Epoch: 20 [2560/48750]	Loss: 0.2734	LR: 0.000800
Training Epoch: 20 [2816/48750]	Loss: 0.3998	LR: 0.000800
Training Epoch: 20 [3072/48750]	Loss: 0.3476	LR: 0.000800
Training Epoch: 20 [3328/48750]	Loss: 0.2912	LR: 0.000800
Training Epoch: 20 [3584/48750]	Loss: 0.3322	LR: 0.000800
Training Epoch: 20 [3840/48750]	Loss: 0.3272	LR: 0.000800
Training Epoch: 20 [4096/48750]	Loss: 0.3115	LR: 0.000800
Training Epoch: 20 [4352/48750]	Loss: 0.2682	LR: 0.000800
Training Epoch: 20 [4608/48750]	Loss: 0.3272	LR: 0.000800
Training Epoch: 20 [4864/48750]	Loss: 0.2971	LR: 0.000800
Training Epoch: 20 [5120/48750]	Loss: 0.3556	LR: 0.000800
Training Epoch: 20 [5376/48750]	Loss: 0.2662	LR: 0.000800
Training Epoch: 20 [5632/48750]	Loss: 0.2970	LR: 0.000800
Training Epoch: 20 [5888/48750]	Loss: 0.2919	LR: 0.000800
Training Epoch: 20 [6144/48750]	Loss: 0.2638	LR: 0.000800
Training Epoch: 20 [6400/48750]	Loss: 0.2437	LR: 0.000800
Training Epoch: 20 [6656/48750]	Loss: 0.3328	LR: 0.000800
Training Epoch: 20 [6912/48750]	Loss: 0.3007	LR: 0.000800
Training Epoch: 20 [7168/48750]	Loss: 0.2855	LR: 0.000800
Training Epoch: 20 [7424/48750]	Loss: 0.2860	LR: 0.000800
Training Epoch: 20 [7680/48750]	Loss: 0.3152	LR: 0.000800
Training Epoch: 20 [7936/48750]	Loss: 0.2485	LR: 0.000800
Training Epoch: 20 [8192/48750]	Loss: 0.2946	LR: 0.000800
Training Epoch: 20 [8448/48750]	Loss: 0.3249	LR: 0.000800
Training Epoch: 20 [8704/48750]	Loss: 0.3682	LR: 0.000800
Training Epoch: 20 [8960/48750]	Loss: 0.2498	LR: 0.000800
Training Epoch: 20 [9216/48750]	Loss: 0.3315	LR: 0.000800
Training Epoch: 20 [9472/48750]	Loss: 0.3164	LR: 0.000800
Training Epoch: 20 [9728/48750]	Loss: 0.3390	LR: 0.000800
Training Epoch: 20 [9984/48750]	Loss: 0.3671	LR: 0.000800
Training Epoch: 20 [10240/48750]	Loss: 0.3840	LR: 0.000800
Training Epoch: 20 [10496/48750]	Loss: 0.3445	LR: 0.000800
Training Epoch: 20 [10752/48750]	Loss: 0.3090	LR: 0.000800
Training Epoch: 20 [11008/48750]	Loss: 0.3293	LR: 0.000800
Training Epoch: 20 [11264/48750]	Loss: 0.2747	LR: 0.000800
Training Epoch: 20 [11520/48750]	Loss: 0.3251	LR: 0.000800
Training Epoch: 20 [11776/48750]	Loss: 0.3223	LR: 0.000800
Training Epoch: 20 [12032/48750]	Loss: 0.3229	LR: 0.000800
Training Epoch: 20 [12288/48750]	Loss: 0.2929	LR: 0.000800
Training Epoch: 20 [12544/48750]	Loss: 0.3519	LR: 0.000800
Training Epoch: 20 [12800/48750]	Loss: 0.3299	LR: 0.000800
Training Epoch: 20 [13056/48750]	Loss: 0.3362	LR: 0.000800
Training Epoch: 20 [13312/48750]	Loss: 0.2522	LR: 0.000800
Training Epoch: 20 [13568/48750]	Loss: 0.2430	LR: 0.000800
Training Epoch: 20 [13824/48750]	Loss: 0.2933	LR: 0.000800
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Training Epoch: 20 [14336/48750]	Loss: 0.3348	LR: 0.000800
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Training Epoch: 20 [15104/48750]	Loss: 0.2927	LR: 0.000800
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Training Epoch: 20 [15616/48750]	Loss: 0.3254	LR: 0.000800
Training Epoch: 20 [15872/48750]	Loss: 0.2640	LR: 0.000800
Training Epoch: 20 [16128/48750]	Loss: 0.2617	LR: 0.000800
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Training Epoch: 20 [16640/48750]	Loss: 0.2559	LR: 0.000800
Training Epoch: 20 [16896/48750]	Loss: 0.3115	LR: 0.000800
Training Epoch: 20 [17152/48750]	Loss: 0.3857	LR: 0.000800
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Training Epoch: 20 [17664/48750]	Loss: 0.2862	LR: 0.000800
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Training Epoch: 20 [18176/48750]	Loss: 0.3688	LR: 0.000800
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Training Epoch: 20 [19200/48750]	Loss: 0.3731	LR: 0.000800
Training Epoch: 20 [19456/48750]	Loss: 0.3260	LR: 0.000800
Training Epoch: 20 [19712/48750]	Loss: 0.3035	LR: 0.000800
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Training Epoch: 20 [20224/48750]	Loss: 0.3289	LR: 0.000800
Training Epoch: 20 [20480/48750]	Loss: 0.3212	LR: 0.000800
Training Epoch: 20 [20736/48750]	Loss: 0.3310	LR: 0.000800
Training Epoch: 20 [20992/48750]	Loss: 0.2825	LR: 0.000800
Training Epoch: 20 [21248/48750]	Loss: 0.3348	LR: 0.000800
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Training Epoch: 20 [21760/48750]	Loss: 0.3261	LR: 0.000800
Training Epoch: 20 [22016/48750]	Loss: 0.3257	LR: 0.000800
Training Epoch: 20 [22272/48750]	Loss: 0.3059	LR: 0.000800
Training Epoch: 20 [22528/48750]	Loss: 0.2963	LR: 0.000800
Training Epoch: 20 [22784/48750]	Loss: 0.2886	LR: 0.000800
Training Epoch: 20 [23040/48750]	Loss: 0.2941	LR: 0.000800
Training Epoch: 20 [23296/48750]	Loss: 0.2493	LR: 0.000800
Training Epoch: 20 [23552/48750]	Loss: 0.2502	LR: 0.000800
Training Epoch: 20 [23808/48750]	Loss: 0.2980	LR: 0.000800
Training Epoch: 20 [24064/48750]	Loss: 0.3019	LR: 0.000800
Training Epoch: 20 [24320/48750]	Loss: 0.3459	LR: 0.000800
Training Epoch: 20 [24576/48750]	Loss: 0.3012	LR: 0.000800
Training Epoch: 20 [24832/48750]	Loss: 0.3110	LR: 0.000800
Training Epoch: 20 [25088/48750]	Loss: 0.2911	LR: 0.000800
Training Epoch: 20 [25344/48750]	Loss: 0.2879	LR: 0.000800
Training Epoch: 20 [25600/48750]	Loss: 0.3017	LR: 0.000800
Training Epoch: 20 [25856/48750]	Loss: 0.2990	LR: 0.000800
Training Epoch: 20 [26112/48750]	Loss: 0.2780	LR: 0.000800
Training Epoch: 20 [26368/48750]	Loss: 0.2269	LR: 0.000800
Training Epoch: 20 [26624/48750]	Loss: 0.2860	LR: 0.000800
Training Epoch: 20 [26880/48750]	Loss: 0.3003	LR: 0.000800
Training Epoch: 20 [27136/48750]	Loss: 0.3007	LR: 0.000800
Training Epoch: 20 [27392/48750]	Loss: 0.3111	LR: 0.000800
Training Epoch: 20 [27648/48750]	Loss: 0.3402	LR: 0.000800
Training Epoch: 20 [27904/48750]	Loss: 0.3439	LR: 0.000800
Training Epoch: 20 [28160/48750]	Loss: 0.3530	LR: 0.000800
Training Epoch: 20 [28416/48750]	Loss: 0.3742	LR: 0.000800
Training Epoch: 20 [28672/48750]	Loss: 0.2976	LR: 0.000800
Training Epoch: 20 [28928/48750]	Loss: 0.2553	LR: 0.000800
Training Epoch: 20 [29184/48750]	Loss: 0.3856	LR: 0.000800
Training Epoch: 20 [29440/48750]	Loss: 0.3261	LR: 0.000800
Training Epoch: 20 [29696/48750]	Loss: 0.2232	LR: 0.000800
Training Epoch: 20 [29952/48750]	Loss: 0.2933	LR: 0.000800
Training Epoch: 20 [30208/48750]	Loss: 0.2736	LR: 0.000800
Training Epoch: 20 [30464/48750]	Loss: 0.2561	LR: 0.000800
Training Epoch: 20 [30720/48750]	Loss: 0.2898	LR: 0.000800
Training Epoch: 20 [30976/48750]	Loss: 0.2806	LR: 0.000800
Training Epoch: 20 [31232/48750]	Loss: 0.3616	LR: 0.000800
Training Epoch: 20 [31488/48750]	Loss: 0.3570	LR: 0.000800
Training Epoch: 20 [31744/48750]	Loss: 0.3095	LR: 0.000800
Training Epoch: 20 [32000/48750]	Loss: 0.3343	LR: 0.000800
Training Epoch: 20 [32256/48750]	Loss: 0.2627	LR: 0.000800
Training Epoch: 20 [32512/48750]	Loss: 0.3442	LR: 0.000800
Training Epoch: 20 [32768/48750]	Loss: 0.2995	LR: 0.000800
Training Epoch: 20 [33024/48750]	Loss: 0.2929	LR: 0.000800
Training Epoch: 20 [33280/48750]	Loss: 0.2400	LR: 0.000800
Training Epoch: 20 [33536/48750]	Loss: 0.2673	LR: 0.000800
Training Epoch: 20 [33792/48750]	Loss: 0.2532	LR: 0.000800
Training Epoch: 20 [34048/48750]	Loss: 0.3109	LR: 0.000800
Training Epoch: 20 [34304/48750]	Loss: 0.3671	LR: 0.000800
Training Epoch: 20 [34560/48750]	Loss: 0.3456	LR: 0.000800
Training Epoch: 20 [34816/48750]	Loss: 0.2747	LR: 0.000800
Training Epoch: 20 [35072/48750]	Loss: 0.2812	LR: 0.000800
Training Epoch: 20 [35328/48750]	Loss: 0.2924	LR: 0.000800
Training Epoch: 20 [35584/48750]	Loss: 0.2587	LR: 0.000800
Training Epoch: 20 [35840/48750]	Loss: 0.2627	LR: 0.000800
Training Epoch: 20 [36096/48750]	Loss: 0.2723	LR: 0.000800
Training Epoch: 20 [36352/48750]	Loss: 0.2639	LR: 0.000800
Training Epoch: 20 [36608/48750]	Loss: 0.2988	LR: 0.000800
Training Epoch: 20 [36864/48750]	Loss: 0.3456	LR: 0.000800
Training Epoch: 20 [37120/48750]	Loss: 0.3260	LR: 0.000800
Training Epoch: 20 [37376/48750]	Loss: 0.2893	LR: 0.000800
Training Epoch: 20 [37632/48750]	Loss: 0.3407	LR: 0.000800
Training Epoch: 20 [37888/48750]	Loss: 0.2891	LR: 0.000800
Training Epoch: 20 [38144/48750]	Loss: 0.4069	LR: 0.000800
Training Epoch: 20 [38400/48750]	Loss: 0.3542	LR: 0.000800
Training Epoch: 20 [38656/48750]	Loss: 0.3130	LR: 0.000800
Training Epoch: 20 [38912/48750]	Loss: 0.2929	LR: 0.000800
Training Epoch: 20 [39168/48750]	Loss: 0.2681	LR: 0.000800
Training Epoch: 20 [39424/48750]	Loss: 0.2429	LR: 0.000800
Training Epoch: 20 [39680/48750]	Loss: 0.2818	LR: 0.000800
Training Epoch: 20 [39936/48750]	Loss: 0.3114	LR: 0.000800
Training Epoch: 20 [40192/48750]	Loss: 0.2660	LR: 0.000800
Training Epoch: 20 [40448/48750]	Loss: 0.2158	LR: 0.000800
Training Epoch: 20 [40704/48750]	Loss: 0.3593	LR: 0.000800
Training Epoch: 20 [40960/48750]	Loss: 0.2980	LR: 0.000800
Training Epoch: 20 [41216/48750]	Loss: 0.2751	LR: 0.000800
Training Epoch: 20 [41472/48750]	Loss: 0.2978	LR: 0.000800
Training Epoch: 20 [41728/48750]	Loss: 0.3029	LR: 0.000800
Training Epoch: 20 [41984/48750]	Loss: 0.3200	LR: 0.000800
Training Epoch: 20 [42240/48750]	Loss: 0.3345	LR: 0.000800
Training Epoch: 20 [42496/48750]	Loss: 0.3140	LR: 0.000800
Training Epoch: 20 [42752/48750]	Loss: 0.2610	LR: 0.000800
Training Epoch: 20 [43008/48750]	Loss: 0.3128	LR: 0.000800
Training Epoch: 20 [43264/48750]	Loss: 0.3039	LR: 0.000800
Training Epoch: 20 [43520/48750]	Loss: 0.3989	LR: 0.000800
Training Epoch: 20 [43776/48750]	Loss: 0.3637	LR: 0.000800
Training Epoch: 20 [44032/48750]	Loss: 0.3780	LR: 0.000800
Training Epoch: 20 [44288/48750]	Loss: 0.2900	LR: 0.000800
Training Epoch: 20 [44544/48750]	Loss: 0.2866	LR: 0.000800
Training Epoch: 20 [44800/48750]	Loss: 0.4080	LR: 0.000800
Training Epoch: 20 [45056/48750]	Loss: 0.2184	LR: 0.000800
Training Epoch: 20 [45312/48750]	Loss: 0.3346	LR: 0.000800
Training Epoch: 20 [45568/48750]	Loss: 0.3342	LR: 0.000800
Training Epoch: 20 [45824/48750]	Loss: 0.2977	LR: 0.000800
Training Epoch: 20 [46080/48750]	Loss: 0.3473	LR: 0.000800
Training Epoch: 20 [46336/48750]	Loss: 0.3105	LR: 0.000800
Training Epoch: 20 [46592/48750]	Loss: 0.3160	LR: 0.000800
Training Epoch: 20 [46848/48750]	Loss: 0.2865	LR: 0.000800
Training Epoch: 20 [47104/48750]	Loss: 0.2695	LR: 0.000800
Training Epoch: 20 [47360/48750]	Loss: 0.2817	LR: 0.000800
Training Epoch: 20 [47616/48750]	Loss: 0.2835	LR: 0.000800
Training Epoch: 20 [47872/48750]	Loss: 0.4077	LR: 0.000800
Training Epoch: 20 [48128/48750]	Loss: 0.2921	LR: 0.000800
Training Epoch: 20 [48384/48750]	Loss: 0.2966	LR: 0.000800
Training Epoch: 20 [48640/48750]	Loss: 0.3693	LR: 0.000800
Training Epoch: 20 [48750/48750]	Loss: 0.4162	LR: 0.000800
Epoch 20 - Average Train Loss: 0.3074, Train Accuracy: 0.8945
Epoch 20 training time consumed: 26.97s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0014, Accuracy: 0.8762, Time consumed:0.86s
Valid (Test) Dl:  10000
Train Dl:  50000
Retain Train Dl:  48750
Forget Train Dl:  1250
Retain Valid Dl:  48750
Forget Valid Dl:  1250
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 1250 samples
Set1 Distribution: 1250 samples
Set2 Distribution: 1250 samples
Set1 Distribution: 1250 samples
Set2 Distribution: 1250 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Test Accuracy: 87.91015625
Retain Accuracy: 89.85475158691406
Zero-Retain Forget (ZRF): 0.8587803840637207
Membership Inference Attack (MIA): 0.4016
Forget vs Retain Membership Inference Attack (MIA): 0.528
Forget vs Test Membership Inference Attack (MIA): 0.568
Test vs Retain Membership Inference Attack (MIA): 0.509
Train vs Test Membership Inference Attack (MIA): 0.519
Forget Set Accuracy (Df): 86.59983825683594
Method Execution Time: 1061.77 seconds
