hello
hello

📌 Retain class distribution for seed 4:
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 4:
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: 2.3348	LR: 0.000000
Training Epoch: 1 [512/48750]	Loss: 2.3381	LR: 0.000524
Training Epoch: 1 [768/48750]	Loss: 2.3237	LR: 0.001047
Training Epoch: 1 [1024/48750]	Loss: 2.3191	LR: 0.001571
Training Epoch: 1 [1280/48750]	Loss: 2.3446	LR: 0.002094
Training Epoch: 1 [1536/48750]	Loss: 2.3082	LR: 0.002618
Training Epoch: 1 [1792/48750]	Loss: 2.2683	LR: 0.003141
Training Epoch: 1 [2048/48750]	Loss: 2.2892	LR: 0.003665
Training Epoch: 1 [2304/48750]	Loss: 2.2631	LR: 0.004188
Training Epoch: 1 [2560/48750]	Loss: 2.2437	LR: 0.004712
Training Epoch: 1 [2816/48750]	Loss: 2.2088	LR: 0.005236
Training Epoch: 1 [3072/48750]	Loss: 2.2163	LR: 0.005759
Training Epoch: 1 [3328/48750]	Loss: 2.2064	LR: 0.006283
Training Epoch: 1 [3584/48750]	Loss: 2.1517	LR: 0.006806
Training Epoch: 1 [3840/48750]	Loss: 2.1651	LR: 0.007330
Training Epoch: 1 [4096/48750]	Loss: 2.1353	LR: 0.007853
Training Epoch: 1 [4352/48750]	Loss: 2.1412	LR: 0.008377
Training Epoch: 1 [4608/48750]	Loss: 2.1396	LR: 0.008901
Training Epoch: 1 [4864/48750]	Loss: 2.1417	LR: 0.009424
Training Epoch: 1 [5120/48750]	Loss: 2.1164	LR: 0.009948
Training Epoch: 1 [5376/48750]	Loss: 2.0945	LR: 0.010471
Training Epoch: 1 [5632/48750]	Loss: 2.0523	LR: 0.010995
Training Epoch: 1 [5888/48750]	Loss: 2.0777	LR: 0.011518
Training Epoch: 1 [6144/48750]	Loss: 1.9939	LR: 0.012042
Training Epoch: 1 [6400/48750]	Loss: 1.9908	LR: 0.012565
Training Epoch: 1 [6656/48750]	Loss: 2.0268	LR: 0.013089
Training Epoch: 1 [6912/48750]	Loss: 2.0493	LR: 0.013613
Training Epoch: 1 [7168/48750]	Loss: 1.9458	LR: 0.014136
Training Epoch: 1 [7424/48750]	Loss: 1.9423	LR: 0.014660
Training Epoch: 1 [7680/48750]	Loss: 1.9542	LR: 0.015183
Training Epoch: 1 [7936/48750]	Loss: 1.9027	LR: 0.015707
Training Epoch: 1 [8192/48750]	Loss: 1.8437	LR: 0.016230
Training Epoch: 1 [8448/48750]	Loss: 1.8937	LR: 0.016754
Training Epoch: 1 [8704/48750]	Loss: 1.7885	LR: 0.017277
Training Epoch: 1 [8960/48750]	Loss: 1.9231	LR: 0.017801
Training Epoch: 1 [9216/48750]	Loss: 1.8488	LR: 0.018325
Training Epoch: 1 [9472/48750]	Loss: 1.8480	LR: 0.018848
Training Epoch: 1 [9728/48750]	Loss: 1.7664	LR: 0.019372
Training Epoch: 1 [9984/48750]	Loss: 1.8003	LR: 0.019895
Training Epoch: 1 [10240/48750]	Loss: 1.7054	LR: 0.020419
Training Epoch: 1 [10496/48750]	Loss: 1.8151	LR: 0.020942
Training Epoch: 1 [10752/48750]	Loss: 1.8070	LR: 0.021466
Training Epoch: 1 [11008/48750]	Loss: 1.7387	LR: 0.021990
Training Epoch: 1 [11264/48750]	Loss: 1.7781	LR: 0.022513
Training Epoch: 1 [11520/48750]	Loss: 1.7636	LR: 0.023037
Training Epoch: 1 [11776/48750]	Loss: 1.6226	LR: 0.023560
Training Epoch: 1 [12032/48750]	Loss: 1.6815	LR: 0.024084
Training Epoch: 1 [12288/48750]	Loss: 1.7204	LR: 0.024607
Training Epoch: 1 [12544/48750]	Loss: 1.6599	LR: 0.025131
Training Epoch: 1 [12800/48750]	Loss: 1.7622	LR: 0.025654
Training Epoch: 1 [13056/48750]	Loss: 1.7093	LR: 0.026178
Training Epoch: 1 [13312/48750]	Loss: 1.7682	LR: 0.026702
Training Epoch: 1 [13568/48750]	Loss: 1.7768	LR: 0.027225
Training Epoch: 1 [13824/48750]	Loss: 1.7928	LR: 0.027749
Training Epoch: 1 [14080/48750]	Loss: 1.6881	LR: 0.028272
Training Epoch: 1 [14336/48750]	Loss: 1.7220	LR: 0.028796
Training Epoch: 1 [14592/48750]	Loss: 1.7752	LR: 0.029319
Training Epoch: 1 [14848/48750]	Loss: 1.7110	LR: 0.029843
Training Epoch: 1 [15104/48750]	Loss: 1.6586	LR: 0.030366
Training Epoch: 1 [15360/48750]	Loss: 1.7476	LR: 0.030890
Training Epoch: 1 [15616/48750]	Loss: 1.6632	LR: 0.031414
Training Epoch: 1 [15872/48750]	Loss: 1.7088	LR: 0.031937
Training Epoch: 1 [16128/48750]	Loss: 1.7583	LR: 0.032461
Training Epoch: 1 [16384/48750]	Loss: 1.6515	LR: 0.032984
Training Epoch: 1 [16640/48750]	Loss: 1.6831	LR: 0.033508
Training Epoch: 1 [16896/48750]	Loss: 1.5889	LR: 0.034031
Training Epoch: 1 [17152/48750]	Loss: 1.6356	LR: 0.034555
Training Epoch: 1 [17408/48750]	Loss: 1.6154	LR: 0.035079
Training Epoch: 1 [17664/48750]	Loss: 1.6065	LR: 0.035602
Training Epoch: 1 [17920/48750]	Loss: 1.5913	LR: 0.036126
Training Epoch: 1 [18176/48750]	Loss: 1.6435	LR: 0.036649
Training Epoch: 1 [18432/48750]	Loss: 1.6895	LR: 0.037173
Training Epoch: 1 [18688/48750]	Loss: 1.7525	LR: 0.037696
Training Epoch: 1 [18944/48750]	Loss: 1.6042	LR: 0.038220
Training Epoch: 1 [19200/48750]	Loss: 1.6262	LR: 0.038743
Training Epoch: 1 [19456/48750]	Loss: 1.7189	LR: 0.039267
Training Epoch: 1 [19712/48750]	Loss: 1.6338	LR: 0.039791
Training Epoch: 1 [19968/48750]	Loss: 1.6585	LR: 0.040314
Training Epoch: 1 [20224/48750]	Loss: 1.6228	LR: 0.040838
Training Epoch: 1 [20480/48750]	Loss: 1.5556	LR: 0.041361
Training Epoch: 1 [20736/48750]	Loss: 1.6507	LR: 0.041885
Training Epoch: 1 [20992/48750]	Loss: 1.5184	LR: 0.042408
Training Epoch: 1 [21248/48750]	Loss: 1.6342	LR: 0.042932
Training Epoch: 1 [21504/48750]	Loss: 1.5563	LR: 0.043455
Training Epoch: 1 [21760/48750]	Loss: 1.6139	LR: 0.043979
Training Epoch: 1 [22016/48750]	Loss: 1.6998	LR: 0.044503
Training Epoch: 1 [22272/48750]	Loss: 1.6591	LR: 0.045026
Training Epoch: 1 [22528/48750]	Loss: 1.5882	LR: 0.045550
Training Epoch: 1 [22784/48750]	Loss: 1.6721	LR: 0.046073
Training Epoch: 1 [23040/48750]	Loss: 1.5247	LR: 0.046597
Training Epoch: 1 [23296/48750]	Loss: 1.6336	LR: 0.047120
Training Epoch: 1 [23552/48750]	Loss: 1.5778	LR: 0.047644
Training Epoch: 1 [23808/48750]	Loss: 1.5030	LR: 0.048168
Training Epoch: 1 [24064/48750]	Loss: 1.5194	LR: 0.048691
Training Epoch: 1 [24320/48750]	Loss: 1.5955	LR: 0.049215
Training Epoch: 1 [24576/48750]	Loss: 1.6049	LR: 0.049738
Training Epoch: 1 [24832/48750]	Loss: 1.5734	LR: 0.050262
Training Epoch: 1 [25088/48750]	Loss: 1.4271	LR: 0.050785
Training Epoch: 1 [25344/48750]	Loss: 1.4808	LR: 0.051309
Training Epoch: 1 [25600/48750]	Loss: 1.5467	LR: 0.051832
Training Epoch: 1 [25856/48750]	Loss: 1.4309	LR: 0.052356
Training Epoch: 1 [26112/48750]	Loss: 1.4483	LR: 0.052880
Training Epoch: 1 [26368/48750]	Loss: 1.4106	LR: 0.053403
Training Epoch: 1 [26624/48750]	Loss: 1.5945	LR: 0.053927
Training Epoch: 1 [26880/48750]	Loss: 1.4907	LR: 0.054450
Training Epoch: 1 [27136/48750]	Loss: 1.4682	LR: 0.054974
Training Epoch: 1 [27392/48750]	Loss: 1.4812	LR: 0.055497
Training Epoch: 1 [27648/48750]	Loss: 1.4470	LR: 0.056021
Training Epoch: 1 [27904/48750]	Loss: 1.5736	LR: 0.056545
Training Epoch: 1 [28160/48750]	Loss: 1.5808	LR: 0.057068
Training Epoch: 1 [28416/48750]	Loss: 1.5122	LR: 0.057592
Training Epoch: 1 [28672/48750]	Loss: 1.4198	LR: 0.058115
Training Epoch: 1 [28928/48750]	Loss: 1.4195	LR: 0.058639
Training Epoch: 1 [29184/48750]	Loss: 1.5551	LR: 0.059162
Training Epoch: 1 [29440/48750]	Loss: 1.5434	LR: 0.059686
Training Epoch: 1 [29696/48750]	Loss: 1.4927	LR: 0.060209
Training Epoch: 1 [29952/48750]	Loss: 1.5678	LR: 0.060733
Training Epoch: 1 [30208/48750]	Loss: 1.6009	LR: 0.061257
Training Epoch: 1 [30464/48750]	Loss: 1.6296	LR: 0.061780
Training Epoch: 1 [30720/48750]	Loss: 1.4326	LR: 0.062304
Training Epoch: 1 [30976/48750]	Loss: 1.5460	LR: 0.062827
Training Epoch: 1 [31232/48750]	Loss: 1.4792	LR: 0.063351
Training Epoch: 1 [31488/48750]	Loss: 1.4682	LR: 0.063874
Training Epoch: 1 [31744/48750]	Loss: 1.4582	LR: 0.064398
Training Epoch: 1 [32000/48750]	Loss: 1.4697	LR: 0.064921
Training Epoch: 1 [32256/48750]	Loss: 1.3631	LR: 0.065445
Training Epoch: 1 [32512/48750]	Loss: 1.5699	LR: 0.065969
Training Epoch: 1 [32768/48750]	Loss: 1.3881	LR: 0.066492
Training Epoch: 1 [33024/48750]	Loss: 1.4908	LR: 0.067016
Training Epoch: 1 [33280/48750]	Loss: 1.4811	LR: 0.067539
Training Epoch: 1 [33536/48750]	Loss: 1.5636	LR: 0.068063
Training Epoch: 1 [33792/48750]	Loss: 1.4020	LR: 0.068586
Training Epoch: 1 [34048/48750]	Loss: 1.5002	LR: 0.069110
Training Epoch: 1 [34304/48750]	Loss: 1.5161	LR: 0.069634
Training Epoch: 1 [34560/48750]	Loss: 1.4735	LR: 0.070157
Training Epoch: 1 [34816/48750]	Loss: 1.4503	LR: 0.070681
Training Epoch: 1 [35072/48750]	Loss: 1.4681	LR: 0.071204
Training Epoch: 1 [35328/48750]	Loss: 1.4688	LR: 0.071728
Training Epoch: 1 [35584/48750]	Loss: 1.4499	LR: 0.072251
Training Epoch: 1 [35840/48750]	Loss: 1.4228	LR: 0.072775
Training Epoch: 1 [36096/48750]	Loss: 1.4522	LR: 0.073298
Training Epoch: 1 [36352/48750]	Loss: 1.3916	LR: 0.073822
Training Epoch: 1 [36608/48750]	Loss: 1.3534	LR: 0.074346
Training Epoch: 1 [36864/48750]	Loss: 1.4398	LR: 0.074869
Training Epoch: 1 [37120/48750]	Loss: 1.4093	LR: 0.075393
Training Epoch: 1 [37376/48750]	Loss: 1.3536	LR: 0.075916
Training Epoch: 1 [37632/48750]	Loss: 1.3456	LR: 0.076440
Training Epoch: 1 [37888/48750]	Loss: 1.4550	LR: 0.076963
Training Epoch: 1 [38144/48750]	Loss: 1.5082	LR: 0.077487
Training Epoch: 1 [38400/48750]	Loss: 1.5684	LR: 0.078010
Training Epoch: 1 [38656/48750]	Loss: 1.3517	LR: 0.078534
Training Epoch: 1 [38912/48750]	Loss: 1.3943	LR: 0.079058
Training Epoch: 1 [39168/48750]	Loss: 1.3031	LR: 0.079581
Training Epoch: 1 [39424/48750]	Loss: 1.3225	LR: 0.080105
Training Epoch: 1 [39680/48750]	Loss: 1.3670	LR: 0.080628
Training Epoch: 1 [39936/48750]	Loss: 1.2194	LR: 0.081152
Training Epoch: 1 [40192/48750]	Loss: 1.3857	LR: 0.081675
Training Epoch: 1 [40448/48750]	Loss: 1.4350	LR: 0.082199
Training Epoch: 1 [40704/48750]	Loss: 1.3978	LR: 0.082723
Training Epoch: 1 [40960/48750]	Loss: 1.4080	LR: 0.083246
Training Epoch: 1 [41216/48750]	Loss: 1.4061	LR: 0.083770
Training Epoch: 1 [41472/48750]	Loss: 1.4524	LR: 0.084293
Training Epoch: 1 [41728/48750]	Loss: 1.6152	LR: 0.084817
Training Epoch: 1 [41984/48750]	Loss: 1.3945	LR: 0.085340
Training Epoch: 1 [42240/48750]	Loss: 1.3826	LR: 0.085864
Training Epoch: 1 [42496/48750]	Loss: 1.3581	LR: 0.086387
Training Epoch: 1 [42752/48750]	Loss: 1.3591	LR: 0.086911
Training Epoch: 1 [43008/48750]	Loss: 1.4828	LR: 0.087435
Training Epoch: 1 [43264/48750]	Loss: 1.4400	LR: 0.087958
Training Epoch: 1 [43520/48750]	Loss: 1.3298	LR: 0.088482
Training Epoch: 1 [43776/48750]	Loss: 1.4900	LR: 0.089005
Training Epoch: 1 [44032/48750]	Loss: 1.3441	LR: 0.089529
Training Epoch: 1 [44288/48750]	Loss: 1.3491	LR: 0.090052
Training Epoch: 1 [44544/48750]	Loss: 1.3568	LR: 0.090576
Training Epoch: 1 [44800/48750]	Loss: 1.3317	LR: 0.091099
Training Epoch: 1 [45056/48750]	Loss: 1.3948	LR: 0.091623
Training Epoch: 1 [45312/48750]	Loss: 1.4564	LR: 0.092147
Training Epoch: 1 [45568/48750]	Loss: 1.4479	LR: 0.092670
Training Epoch: 1 [45824/48750]	Loss: 1.4209	LR: 0.093194
Training Epoch: 1 [46080/48750]	Loss: 1.3710	LR: 0.093717
Training Epoch: 1 [46336/48750]	Loss: 1.3942	LR: 0.094241
Training Epoch: 1 [46592/48750]	Loss: 1.3473	LR: 0.094764
Training Epoch: 1 [46848/48750]	Loss: 1.3930	LR: 0.095288
Training Epoch: 1 [47104/48750]	Loss: 1.3264	LR: 0.095812
Training Epoch: 1 [47360/48750]	Loss: 1.3795	LR: 0.096335
Training Epoch: 1 [47616/48750]	Loss: 1.3958	LR: 0.096859
Training Epoch: 1 [47872/48750]	Loss: 1.3816	LR: 0.097382
Training Epoch: 1 [48128/48750]	Loss: 1.2810	LR: 0.097906
Training Epoch: 1 [48384/48750]	Loss: 1.3026	LR: 0.098429
Training Epoch: 1 [48640/48750]	Loss: 1.3527	LR: 0.098953
Training Epoch: 1 [48750/48750]	Loss: 1.2845	LR: 0.099476
Epoch 1 - Average Train Loss: 1.6388, Train Accuracy: 0.3950
Epoch 1 training time consumed: 28.18s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0166, Accuracy: 0.2887, Time consumed:1.03s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_09h_29m_20s/AllCNN-Cifar10-seed4-ret75-1-best.pth
Training Epoch: 2 [256/48750]	Loss: 1.4741	LR: 0.100000
Training Epoch: 2 [512/48750]	Loss: 1.4538	LR: 0.100000
Training Epoch: 2 [768/48750]	Loss: 1.3279	LR: 0.100000
Training Epoch: 2 [1024/48750]	Loss: 1.3742	LR: 0.100000
Training Epoch: 2 [1280/48750]	Loss: 1.3657	LR: 0.100000
Training Epoch: 2 [1536/48750]	Loss: 1.4202	LR: 0.100000
Training Epoch: 2 [1792/48750]	Loss: 1.3472	LR: 0.100000
Training Epoch: 2 [2048/48750]	Loss: 1.4083	LR: 0.100000
Training Epoch: 2 [2304/48750]	Loss: 1.3456	LR: 0.100000
Training Epoch: 2 [2560/48750]	Loss: 1.4538	LR: 0.100000
Training Epoch: 2 [2816/48750]	Loss: 1.4078	LR: 0.100000
Training Epoch: 2 [3072/48750]	Loss: 1.3975	LR: 0.100000
Training Epoch: 2 [3328/48750]	Loss: 1.2349	LR: 0.100000
Training Epoch: 2 [3584/48750]	Loss: 1.3942	LR: 0.100000
Training Epoch: 2 [3840/48750]	Loss: 1.4545	LR: 0.100000
Training Epoch: 2 [4096/48750]	Loss: 1.3064	LR: 0.100000
Training Epoch: 2 [4352/48750]	Loss: 1.4996	LR: 0.100000
Training Epoch: 2 [4608/48750]	Loss: 1.3169	LR: 0.100000
Training Epoch: 2 [4864/48750]	Loss: 1.3106	LR: 0.100000
Training Epoch: 2 [5120/48750]	Loss: 1.3163	LR: 0.100000
Training Epoch: 2 [5376/48750]	Loss: 1.3807	LR: 0.100000
Training Epoch: 2 [5632/48750]	Loss: 1.3632	LR: 0.100000
Training Epoch: 2 [5888/48750]	Loss: 1.2697	LR: 0.100000
Training Epoch: 2 [6144/48750]	Loss: 1.3419	LR: 0.100000
Training Epoch: 2 [6400/48750]	Loss: 1.1973	LR: 0.100000
Training Epoch: 2 [6656/48750]	Loss: 1.2323	LR: 0.100000
Training Epoch: 2 [6912/48750]	Loss: 1.3121	LR: 0.100000
Training Epoch: 2 [7168/48750]	Loss: 1.3637	LR: 0.100000
Training Epoch: 2 [7424/48750]	Loss: 1.3001	LR: 0.100000
Training Epoch: 2 [7680/48750]	Loss: 1.2359	LR: 0.100000
Training Epoch: 2 [7936/48750]	Loss: 1.2017	LR: 0.100000
Training Epoch: 2 [8192/48750]	Loss: 1.2183	LR: 0.100000
Training Epoch: 2 [8448/48750]	Loss: 1.2582	LR: 0.100000
Training Epoch: 2 [8704/48750]	Loss: 1.3481	LR: 0.100000
Training Epoch: 2 [8960/48750]	Loss: 1.3814	LR: 0.100000
Training Epoch: 2 [9216/48750]	Loss: 1.2789	LR: 0.100000
Training Epoch: 2 [9472/48750]	Loss: 1.1309	LR: 0.100000
Training Epoch: 2 [9728/48750]	Loss: 1.2818	LR: 0.100000
Training Epoch: 2 [9984/48750]	Loss: 1.2731	LR: 0.100000
Training Epoch: 2 [10240/48750]	Loss: 1.3105	LR: 0.100000
Training Epoch: 2 [10496/48750]	Loss: 1.3238	LR: 0.100000
Training Epoch: 2 [10752/48750]	Loss: 1.3111	LR: 0.100000
Training Epoch: 2 [11008/48750]	Loss: 1.3997	LR: 0.100000
Training Epoch: 2 [11264/48750]	Loss: 1.3584	LR: 0.100000
Training Epoch: 2 [11520/48750]	Loss: 1.2772	LR: 0.100000
Training Epoch: 2 [11776/48750]	Loss: 1.2646	LR: 0.100000
Training Epoch: 2 [12032/48750]	Loss: 1.4162	LR: 0.100000
Training Epoch: 2 [12288/48750]	Loss: 1.2538	LR: 0.100000
Training Epoch: 2 [12544/48750]	Loss: 1.2702	LR: 0.100000
Training Epoch: 2 [12800/48750]	Loss: 1.1771	LR: 0.100000
Training Epoch: 2 [13056/48750]	Loss: 1.4224	LR: 0.100000
Training Epoch: 2 [13312/48750]	Loss: 1.2287	LR: 0.100000
Training Epoch: 2 [13568/48750]	Loss: 1.2629	LR: 0.100000
Training Epoch: 2 [13824/48750]	Loss: 1.1333	LR: 0.100000
Training Epoch: 2 [14080/48750]	Loss: 1.2119	LR: 0.100000
Training Epoch: 2 [14336/48750]	Loss: 1.2520	LR: 0.100000
Training Epoch: 2 [14592/48750]	Loss: 1.1903	LR: 0.100000
Training Epoch: 2 [14848/48750]	Loss: 1.1811	LR: 0.100000
Training Epoch: 2 [15104/48750]	Loss: 1.1458	LR: 0.100000
Training Epoch: 2 [15360/48750]	Loss: 1.2860	LR: 0.100000
Training Epoch: 2 [15616/48750]	Loss: 1.2374	LR: 0.100000
Training Epoch: 2 [15872/48750]	Loss: 1.1910	LR: 0.100000
Training Epoch: 2 [16128/48750]	Loss: 1.2613	LR: 0.100000
Training Epoch: 2 [16384/48750]	Loss: 1.1416	LR: 0.100000
Training Epoch: 2 [16640/48750]	Loss: 1.2405	LR: 0.100000
Training Epoch: 2 [16896/48750]	Loss: 1.2691	LR: 0.100000
Training Epoch: 2 [17152/48750]	Loss: 1.1897	LR: 0.100000
Training Epoch: 2 [17408/48750]	Loss: 1.0663	LR: 0.100000
Training Epoch: 2 [17664/48750]	Loss: 1.2405	LR: 0.100000
Training Epoch: 2 [17920/48750]	Loss: 1.1118	LR: 0.100000
Training Epoch: 2 [18176/48750]	Loss: 1.2866	LR: 0.100000
Training Epoch: 2 [18432/48750]	Loss: 1.1488	LR: 0.100000
Training Epoch: 2 [18688/48750]	Loss: 1.1402	LR: 0.100000
Training Epoch: 2 [18944/48750]	Loss: 1.0943	LR: 0.100000
Training Epoch: 2 [19200/48750]	Loss: 1.1521	LR: 0.100000
Training Epoch: 2 [19456/48750]	Loss: 1.1883	LR: 0.100000
Training Epoch: 2 [19712/48750]	Loss: 1.0943	LR: 0.100000
Training Epoch: 2 [19968/48750]	Loss: 1.2790	LR: 0.100000
Training Epoch: 2 [20224/48750]	Loss: 1.1434	LR: 0.100000
Training Epoch: 2 [20480/48750]	Loss: 1.2136	LR: 0.100000
Training Epoch: 2 [20736/48750]	Loss: 1.2925	LR: 0.100000
Training Epoch: 2 [20992/48750]	Loss: 1.1491	LR: 0.100000
Training Epoch: 2 [21248/48750]	Loss: 1.1735	LR: 0.100000
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Training Epoch: 2 [48640/48750]	Loss: 1.1151	LR: 0.100000
Training Epoch: 2 [48750/48750]	Loss: 1.2097	LR: 0.100000
Epoch 2 - Average Train Loss: 1.1928, Train Accuracy: 0.5678
Epoch 2 training time consumed: 27.34s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0045, Accuracy: 0.5968, Time consumed:0.98s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_09h_29m_20s/AllCNN-Cifar10-seed4-ret75-2-best.pth
Training Epoch: 3 [256/48750]	Loss: 1.0299	LR: 0.100000
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Training Epoch: 3 [48384/48750]	Loss: 1.0097	LR: 0.100000
Training Epoch: 3 [48640/48750]	Loss: 0.9858	LR: 0.100000
Training Epoch: 3 [48750/48750]	Loss: 0.8040	LR: 0.100000
Epoch 3 - Average Train Loss: 0.9931, Train Accuracy: 0.6469
Epoch 3 training time consumed: 27.08s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0045, Accuracy: 0.6276, Time consumed:0.90s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_09h_29m_20s/AllCNN-Cifar10-seed4-ret75-3-best.pth
Training Epoch: 4 [256/48750]	Loss: 0.9827	LR: 0.100000
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Training Epoch: 4 [48750/48750]	Loss: 0.7064	LR: 0.100000
Epoch 4 - Average Train Loss: 0.8725, Train Accuracy: 0.6903
Epoch 4 training time consumed: 27.30s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0045, Accuracy: 0.6390, Time consumed:0.90s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_09h_29m_20s/AllCNN-Cifar10-seed4-ret75-4-best.pth
Training Epoch: 5 [256/48750]	Loss: 0.7130	LR: 0.100000
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Training Epoch: 5 [48640/48750]	Loss: 0.6745	LR: 0.100000
Training Epoch: 5 [48750/48750]	Loss: 0.7787	LR: 0.100000
Epoch 5 - Average Train Loss: 0.7602, Train Accuracy: 0.7331
Epoch 5 training time consumed: 26.90s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0040, Accuracy: 0.6775, Time consumed:0.92s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_09h_29m_20s/AllCNN-Cifar10-seed4-ret75-5-best.pth
Training Epoch: 6 [256/48750]	Loss: 0.7181	LR: 0.100000
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Training Epoch: 6 [48750/48750]	Loss: 0.6417	LR: 0.100000
Epoch 6 - Average Train Loss: 0.6932, Train Accuracy: 0.7594
Epoch 6 training time consumed: 27.12s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0033, Accuracy: 0.7231, Time consumed:0.90s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_09h_29m_20s/AllCNN-Cifar10-seed4-ret75-6-best.pth
Training Epoch: 7 [256/48750]	Loss: 0.6175	LR: 0.100000
Training Epoch: 7 [512/48750]	Loss: 0.5988	LR: 0.100000
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Training Epoch: 7 [48640/48750]	Loss: 0.6603	LR: 0.100000
Training Epoch: 7 [48750/48750]	Loss: 0.5369	LR: 0.100000
Epoch 7 - Average Train Loss: 0.6310, Train Accuracy: 0.7803
Epoch 7 training time consumed: 27.25s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0031, Accuracy: 0.7408, Time consumed:0.90s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_09h_29m_20s/AllCNN-Cifar10-seed4-ret75-7-best.pth
Training Epoch: 8 [256/48750]	Loss: 0.6360	LR: 0.020000
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Training Epoch: 8 [28160/48750]	Loss: 0.4078	LR: 0.020000
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Training Epoch: 8 [45056/48750]	Loss: 0.5050	LR: 0.020000
Training Epoch: 8 [45312/48750]	Loss: 0.3812	LR: 0.020000
Training Epoch: 8 [45568/48750]	Loss: 0.4315	LR: 0.020000
Training Epoch: 8 [45824/48750]	Loss: 0.5127	LR: 0.020000
Training Epoch: 8 [46080/48750]	Loss: 0.3986	LR: 0.020000
Training Epoch: 8 [46336/48750]	Loss: 0.4395	LR: 0.020000
Training Epoch: 8 [46592/48750]	Loss: 0.4805	LR: 0.020000
Training Epoch: 8 [46848/48750]	Loss: 0.5038	LR: 0.020000
Training Epoch: 8 [47104/48750]	Loss: 0.4737	LR: 0.020000
Training Epoch: 8 [47360/48750]	Loss: 0.4292	LR: 0.020000
Training Epoch: 8 [47616/48750]	Loss: 0.4119	LR: 0.020000
Training Epoch: 8 [47872/48750]	Loss: 0.5128	LR: 0.020000
Training Epoch: 8 [48128/48750]	Loss: 0.4117	LR: 0.020000
Training Epoch: 8 [48384/48750]	Loss: 0.4872	LR: 0.020000
Training Epoch: 8 [48640/48750]	Loss: 0.4957	LR: 0.020000
Training Epoch: 8 [48750/48750]	Loss: 0.5255	LR: 0.020000
Epoch 8 - Average Train Loss: 0.4876, Train Accuracy: 0.8318
Epoch 8 training time consumed: 27.10s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0018, Accuracy: 0.8418, Time consumed:0.89s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_09h_29m_20s/AllCNN-Cifar10-seed4-ret75-8-best.pth
Training Epoch: 9 [256/48750]	Loss: 0.4762	LR: 0.020000
Training Epoch: 9 [512/48750]	Loss: 0.4735	LR: 0.020000
Training Epoch: 9 [768/48750]	Loss: 0.4096	LR: 0.020000
Training Epoch: 9 [1024/48750]	Loss: 0.4177	LR: 0.020000
Training Epoch: 9 [1280/48750]	Loss: 0.4476	LR: 0.020000
Training Epoch: 9 [1536/48750]	Loss: 0.4017	LR: 0.020000
Training Epoch: 9 [1792/48750]	Loss: 0.3517	LR: 0.020000
Training Epoch: 9 [2048/48750]	Loss: 0.4968	LR: 0.020000
Training Epoch: 9 [2304/48750]	Loss: 0.4710	LR: 0.020000
Training Epoch: 9 [2560/48750]	Loss: 0.4154	LR: 0.020000
Training Epoch: 9 [2816/48750]	Loss: 0.4706	LR: 0.020000
Training Epoch: 9 [3072/48750]	Loss: 0.4292	LR: 0.020000
Training Epoch: 9 [3328/48750]	Loss: 0.4635	LR: 0.020000
Training Epoch: 9 [3584/48750]	Loss: 0.4748	LR: 0.020000
Training Epoch: 9 [3840/48750]	Loss: 0.4062	LR: 0.020000
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Training Epoch: 9 [4352/48750]	Loss: 0.4378	LR: 0.020000
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Training Epoch: 9 [11264/48750]	Loss: 0.3676	LR: 0.020000
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Training Epoch: 9 [40192/48750]	Loss: 0.4954	LR: 0.020000
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Training Epoch: 9 [45056/48750]	Loss: 0.5372	LR: 0.020000
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Training Epoch: 9 [46336/48750]	Loss: 0.4377	LR: 0.020000
Training Epoch: 9 [46592/48750]	Loss: 0.4084	LR: 0.020000
Training Epoch: 9 [46848/48750]	Loss: 0.5368	LR: 0.020000
Training Epoch: 9 [47104/48750]	Loss: 0.3865	LR: 0.020000
Training Epoch: 9 [47360/48750]	Loss: 0.5649	LR: 0.020000
Training Epoch: 9 [47616/48750]	Loss: 0.3797	LR: 0.020000
Training Epoch: 9 [47872/48750]	Loss: 0.4376	LR: 0.020000
Training Epoch: 9 [48128/48750]	Loss: 0.4429	LR: 0.020000
Training Epoch: 9 [48384/48750]	Loss: 0.3638	LR: 0.020000
Training Epoch: 9 [48640/48750]	Loss: 0.3838	LR: 0.020000
Training Epoch: 9 [48750/48750]	Loss: 0.4111	LR: 0.020000
Epoch 9 - Average Train Loss: 0.4394, Train Accuracy: 0.8495
Epoch 9 training time consumed: 27.18s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0018, Accuracy: 0.8440, Time consumed:1.01s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_09h_29m_20s/AllCNN-Cifar10-seed4-ret75-9-best.pth
Training Epoch: 10 [256/48750]	Loss: 0.3981	LR: 0.020000
Training Epoch: 10 [512/48750]	Loss: 0.4306	LR: 0.020000
Training Epoch: 10 [768/48750]	Loss: 0.4693	LR: 0.020000
Training Epoch: 10 [1024/48750]	Loss: 0.4893	LR: 0.020000
Training Epoch: 10 [1280/48750]	Loss: 0.4079	LR: 0.020000
Training Epoch: 10 [1536/48750]	Loss: 0.4787	LR: 0.020000
Training Epoch: 10 [1792/48750]	Loss: 0.4151	LR: 0.020000
Training Epoch: 10 [2048/48750]	Loss: 0.3261	LR: 0.020000
Training Epoch: 10 [2304/48750]	Loss: 0.3823	LR: 0.020000
Training Epoch: 10 [2560/48750]	Loss: 0.4897	LR: 0.020000
Training Epoch: 10 [2816/48750]	Loss: 0.4865	LR: 0.020000
Training Epoch: 10 [3072/48750]	Loss: 0.3709	LR: 0.020000
Training Epoch: 10 [3328/48750]	Loss: 0.4398	LR: 0.020000
Training Epoch: 10 [3584/48750]	Loss: 0.3993	LR: 0.020000
Training Epoch: 10 [3840/48750]	Loss: 0.4506	LR: 0.020000
Training Epoch: 10 [4096/48750]	Loss: 0.4288	LR: 0.020000
Training Epoch: 10 [4352/48750]	Loss: 0.4255	LR: 0.020000
Training Epoch: 10 [4608/48750]	Loss: 0.4276	LR: 0.020000
Training Epoch: 10 [4864/48750]	Loss: 0.5290	LR: 0.020000
Training Epoch: 10 [5120/48750]	Loss: 0.4858	LR: 0.020000
Training Epoch: 10 [5376/48750]	Loss: 0.4851	LR: 0.020000
Training Epoch: 10 [5632/48750]	Loss: 0.4148	LR: 0.020000
Training Epoch: 10 [5888/48750]	Loss: 0.4543	LR: 0.020000
Training Epoch: 10 [6144/48750]	Loss: 0.4048	LR: 0.020000
Training Epoch: 10 [6400/48750]	Loss: 0.4585	LR: 0.020000
Training Epoch: 10 [6656/48750]	Loss: 0.3593	LR: 0.020000
Training Epoch: 10 [6912/48750]	Loss: 0.4489	LR: 0.020000
Training Epoch: 10 [7168/48750]	Loss: 0.4538	LR: 0.020000
Training Epoch: 10 [7424/48750]	Loss: 0.4290	LR: 0.020000
Training Epoch: 10 [7680/48750]	Loss: 0.4061	LR: 0.020000
Training Epoch: 10 [7936/48750]	Loss: 0.4268	LR: 0.020000
Training Epoch: 10 [8192/48750]	Loss: 0.4331	LR: 0.020000
Training Epoch: 10 [8448/48750]	Loss: 0.4711	LR: 0.020000
Training Epoch: 10 [8704/48750]	Loss: 0.4064	LR: 0.020000
Training Epoch: 10 [8960/48750]	Loss: 0.4303	LR: 0.020000
Training Epoch: 10 [9216/48750]	Loss: 0.3885	LR: 0.020000
Training Epoch: 10 [9472/48750]	Loss: 0.3613	LR: 0.020000
Training Epoch: 10 [9728/48750]	Loss: 0.4113	LR: 0.020000
Training Epoch: 10 [9984/48750]	Loss: 0.4400	LR: 0.020000
Training Epoch: 10 [10240/48750]	Loss: 0.4842	LR: 0.020000
Training Epoch: 10 [10496/48750]	Loss: 0.4145	LR: 0.020000
Training Epoch: 10 [10752/48750]	Loss: 0.4121	LR: 0.020000
Training Epoch: 10 [11008/48750]	Loss: 0.3718	LR: 0.020000
Training Epoch: 10 [11264/48750]	Loss: 0.3942	LR: 0.020000
Training Epoch: 10 [11520/48750]	Loss: 0.4718	LR: 0.020000
Training Epoch: 10 [11776/48750]	Loss: 0.3786	LR: 0.020000
Training Epoch: 10 [12032/48750]	Loss: 0.4563	LR: 0.020000
Training Epoch: 10 [12288/48750]	Loss: 0.4771	LR: 0.020000
Training Epoch: 10 [12544/48750]	Loss: 0.3737	LR: 0.020000
Training Epoch: 10 [12800/48750]	Loss: 0.3594	LR: 0.020000
Training Epoch: 10 [13056/48750]	Loss: 0.3762	LR: 0.020000
Training Epoch: 10 [13312/48750]	Loss: 0.4413	LR: 0.020000
Training Epoch: 10 [13568/48750]	Loss: 0.3434	LR: 0.020000
Training Epoch: 10 [13824/48750]	Loss: 0.3911	LR: 0.020000
Training Epoch: 10 [14080/48750]	Loss: 0.3316	LR: 0.020000
Training Epoch: 10 [14336/48750]	Loss: 0.4113	LR: 0.020000
Training Epoch: 10 [14592/48750]	Loss: 0.3445	LR: 0.020000
Training Epoch: 10 [14848/48750]	Loss: 0.5099	LR: 0.020000
Training Epoch: 10 [15104/48750]	Loss: 0.4706	LR: 0.020000
Training Epoch: 10 [15360/48750]	Loss: 0.5053	LR: 0.020000
Training Epoch: 10 [15616/48750]	Loss: 0.4058	LR: 0.020000
Training Epoch: 10 [15872/48750]	Loss: 0.4125	LR: 0.020000
Training Epoch: 10 [16128/48750]	Loss: 0.4483	LR: 0.020000
Training Epoch: 10 [16384/48750]	Loss: 0.4593	LR: 0.020000
Training Epoch: 10 [16640/48750]	Loss: 0.3773	LR: 0.020000
Training Epoch: 10 [16896/48750]	Loss: 0.3920	LR: 0.020000
Training Epoch: 10 [17152/48750]	Loss: 0.4657	LR: 0.020000
Training Epoch: 10 [17408/48750]	Loss: 0.3592	LR: 0.020000
Training Epoch: 10 [17664/48750]	Loss: 0.4252	LR: 0.020000
Training Epoch: 10 [17920/48750]	Loss: 0.3920	LR: 0.020000
Training Epoch: 10 [18176/48750]	Loss: 0.4634	LR: 0.020000
Training Epoch: 10 [18432/48750]	Loss: 0.4260	LR: 0.020000
Training Epoch: 10 [18688/48750]	Loss: 0.3991	LR: 0.020000
Training Epoch: 10 [18944/48750]	Loss: 0.4010	LR: 0.020000
Training Epoch: 10 [19200/48750]	Loss: 0.3549	LR: 0.020000
Training Epoch: 10 [19456/48750]	Loss: 0.3178	LR: 0.020000
Training Epoch: 10 [19712/48750]	Loss: 0.4936	LR: 0.020000
Training Epoch: 10 [19968/48750]	Loss: 0.3780	LR: 0.020000
Training Epoch: 10 [20224/48750]	Loss: 0.4439	LR: 0.020000
Training Epoch: 10 [20480/48750]	Loss: 0.5024	LR: 0.020000
Training Epoch: 10 [20736/48750]	Loss: 0.4198	LR: 0.020000
Training Epoch: 10 [20992/48750]	Loss: 0.3759	LR: 0.020000
Training Epoch: 10 [21248/48750]	Loss: 0.4342	LR: 0.020000
Training Epoch: 10 [21504/48750]	Loss: 0.3872	LR: 0.020000
Training Epoch: 10 [21760/48750]	Loss: 0.5059	LR: 0.020000
Training Epoch: 10 [22016/48750]	Loss: 0.4742	LR: 0.020000
Training Epoch: 10 [22272/48750]	Loss: 0.4416	LR: 0.020000
Training Epoch: 10 [22528/48750]	Loss: 0.5128	LR: 0.020000
Training Epoch: 10 [22784/48750]	Loss: 0.4121	LR: 0.020000
Training Epoch: 10 [23040/48750]	Loss: 0.4619	LR: 0.020000
Training Epoch: 10 [23296/48750]	Loss: 0.4479	LR: 0.020000
Training Epoch: 10 [23552/48750]	Loss: 0.5330	LR: 0.020000
Training Epoch: 10 [23808/48750]	Loss: 0.3679	LR: 0.020000
Training Epoch: 10 [24064/48750]	Loss: 0.3250	LR: 0.020000
Training Epoch: 10 [24320/48750]	Loss: 0.5094	LR: 0.020000
Training Epoch: 10 [24576/48750]	Loss: 0.4090	LR: 0.020000
Training Epoch: 10 [24832/48750]	Loss: 0.4553	LR: 0.020000
Training Epoch: 10 [25088/48750]	Loss: 0.3827	LR: 0.020000
Training Epoch: 10 [25344/48750]	Loss: 0.3635	LR: 0.020000
Training Epoch: 10 [25600/48750]	Loss: 0.4046	LR: 0.020000
Training Epoch: 10 [25856/48750]	Loss: 0.4152	LR: 0.020000
Training Epoch: 10 [26112/48750]	Loss: 0.4244	LR: 0.020000
Training Epoch: 10 [26368/48750]	Loss: 0.3729	LR: 0.020000
Training Epoch: 10 [26624/48750]	Loss: 0.3834	LR: 0.020000
Training Epoch: 10 [26880/48750]	Loss: 0.5568	LR: 0.020000
Training Epoch: 10 [27136/48750]	Loss: 0.3905	LR: 0.020000
Training Epoch: 10 [27392/48750]	Loss: 0.3667	LR: 0.020000
Training Epoch: 10 [27648/48750]	Loss: 0.3947	LR: 0.020000
Training Epoch: 10 [27904/48750]	Loss: 0.3673	LR: 0.020000
Training Epoch: 10 [28160/48750]	Loss: 0.3872	LR: 0.020000
Training Epoch: 10 [28416/48750]	Loss: 0.4707	LR: 0.020000
Training Epoch: 10 [28672/48750]	Loss: 0.4406	LR: 0.020000
Training Epoch: 10 [28928/48750]	Loss: 0.4481	LR: 0.020000
Training Epoch: 10 [29184/48750]	Loss: 0.3812	LR: 0.020000
Training Epoch: 10 [29440/48750]	Loss: 0.4749	LR: 0.020000
Training Epoch: 10 [29696/48750]	Loss: 0.4519	LR: 0.020000
Training Epoch: 10 [29952/48750]	Loss: 0.5076	LR: 0.020000
Training Epoch: 10 [30208/48750]	Loss: 0.3872	LR: 0.020000
Training Epoch: 10 [30464/48750]	Loss: 0.3737	LR: 0.020000
Training Epoch: 10 [30720/48750]	Loss: 0.3835	LR: 0.020000
Training Epoch: 10 [30976/48750]	Loss: 0.3094	LR: 0.020000
Training Epoch: 10 [31232/48750]	Loss: 0.4944	LR: 0.020000
Training Epoch: 10 [31488/48750]	Loss: 0.4492	LR: 0.020000
Training Epoch: 10 [31744/48750]	Loss: 0.3697	LR: 0.020000
Training Epoch: 10 [32000/48750]	Loss: 0.3396	LR: 0.020000
Training Epoch: 10 [32256/48750]	Loss: 0.4380	LR: 0.020000
Training Epoch: 10 [32512/48750]	Loss: 0.5491	LR: 0.020000
Training Epoch: 10 [32768/48750]	Loss: 0.4796	LR: 0.020000
Training Epoch: 10 [33024/48750]	Loss: 0.3529	LR: 0.020000
Training Epoch: 10 [33280/48750]	Loss: 0.4054	LR: 0.020000
Training Epoch: 10 [33536/48750]	Loss: 0.4802	LR: 0.020000
Training Epoch: 10 [33792/48750]	Loss: 0.5121	LR: 0.020000
Training Epoch: 10 [34048/48750]	Loss: 0.5116	LR: 0.020000
Training Epoch: 10 [34304/48750]	Loss: 0.3993	LR: 0.020000
Training Epoch: 10 [34560/48750]	Loss: 0.4001	LR: 0.020000
Training Epoch: 10 [34816/48750]	Loss: 0.4622	LR: 0.020000
Training Epoch: 10 [35072/48750]	Loss: 0.4571	LR: 0.020000
Training Epoch: 10 [35328/48750]	Loss: 0.3924	LR: 0.020000
Training Epoch: 10 [35584/48750]	Loss: 0.4402	LR: 0.020000
Training Epoch: 10 [35840/48750]	Loss: 0.4097	LR: 0.020000
Training Epoch: 10 [36096/48750]	Loss: 0.3887	LR: 0.020000
Training Epoch: 10 [36352/48750]	Loss: 0.4054	LR: 0.020000
Training Epoch: 10 [36608/48750]	Loss: 0.4223	LR: 0.020000
Training Epoch: 10 [36864/48750]	Loss: 0.3914	LR: 0.020000
Training Epoch: 10 [37120/48750]	Loss: 0.3835	LR: 0.020000
Training Epoch: 10 [37376/48750]	Loss: 0.3856	LR: 0.020000
Training Epoch: 10 [37632/48750]	Loss: 0.2994	LR: 0.020000
Training Epoch: 10 [37888/48750]	Loss: 0.4443	LR: 0.020000
Training Epoch: 10 [38144/48750]	Loss: 0.4905	LR: 0.020000
Training Epoch: 10 [38400/48750]	Loss: 0.4368	LR: 0.020000
Training Epoch: 10 [38656/48750]	Loss: 0.4064	LR: 0.020000
Training Epoch: 10 [38912/48750]	Loss: 0.3648	LR: 0.020000
Training Epoch: 10 [39168/48750]	Loss: 0.3646	LR: 0.020000
Training Epoch: 10 [39424/48750]	Loss: 0.4490	LR: 0.020000
Training Epoch: 10 [39680/48750]	Loss: 0.3788	LR: 0.020000
Training Epoch: 10 [39936/48750]	Loss: 0.3615	LR: 0.020000
Training Epoch: 10 [40192/48750]	Loss: 0.4479	LR: 0.020000
Training Epoch: 10 [40448/48750]	Loss: 0.4589	LR: 0.020000
Training Epoch: 10 [40704/48750]	Loss: 0.4539	LR: 0.020000
Training Epoch: 10 [40960/48750]	Loss: 0.5101	LR: 0.020000
Training Epoch: 10 [41216/48750]	Loss: 0.3903	LR: 0.020000
Training Epoch: 10 [41472/48750]	Loss: 0.3933	LR: 0.020000
Training Epoch: 10 [41728/48750]	Loss: 0.3730	LR: 0.020000
Training Epoch: 10 [41984/48750]	Loss: 0.5069	LR: 0.020000
Training Epoch: 10 [42240/48750]	Loss: 0.4347	LR: 0.020000
Training Epoch: 10 [42496/48750]	Loss: 0.4078	LR: 0.020000
Training Epoch: 10 [42752/48750]	Loss: 0.3730	LR: 0.020000
Training Epoch: 10 [43008/48750]	Loss: 0.3898	LR: 0.020000
Training Epoch: 10 [43264/48750]	Loss: 0.3495	LR: 0.020000
Training Epoch: 10 [43520/48750]	Loss: 0.4295	LR: 0.020000
Training Epoch: 10 [43776/48750]	Loss: 0.3717	LR: 0.020000
Training Epoch: 10 [44032/48750]	Loss: 0.4795	LR: 0.020000
Training Epoch: 10 [44288/48750]	Loss: 0.4002	LR: 0.020000
Training Epoch: 10 [44544/48750]	Loss: 0.4565	LR: 0.020000
Training Epoch: 10 [44800/48750]	Loss: 0.4216	LR: 0.020000
Training Epoch: 10 [45056/48750]	Loss: 0.4514	LR: 0.020000
Training Epoch: 10 [45312/48750]	Loss: 0.4346	LR: 0.020000
Training Epoch: 10 [45568/48750]	Loss: 0.4599	LR: 0.020000
Training Epoch: 10 [45824/48750]	Loss: 0.4586	LR: 0.020000
Training Epoch: 10 [46080/48750]	Loss: 0.3685	LR: 0.020000
Training Epoch: 10 [46336/48750]	Loss: 0.3336	LR: 0.020000
Training Epoch: 10 [46592/48750]	Loss: 0.4342	LR: 0.020000
Training Epoch: 10 [46848/48750]	Loss: 0.4650	LR: 0.020000
Training Epoch: 10 [47104/48750]	Loss: 0.3922	LR: 0.020000
Training Epoch: 10 [47360/48750]	Loss: 0.3764	LR: 0.020000
Training Epoch: 10 [47616/48750]	Loss: 0.4987	LR: 0.020000
Training Epoch: 10 [47872/48750]	Loss: 0.5287	LR: 0.020000
Training Epoch: 10 [48128/48750]	Loss: 0.4201	LR: 0.020000
Training Epoch: 10 [48384/48750]	Loss: 0.4103	LR: 0.020000
Training Epoch: 10 [48640/48750]	Loss: 0.4349	LR: 0.020000
Training Epoch: 10 [48750/48750]	Loss: 0.4713	LR: 0.020000
Epoch 10 - Average Train Loss: 0.4232, Train Accuracy: 0.8544
Epoch 10 training time consumed: 26.99s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0018, Accuracy: 0.8436, Time consumed:0.93s
Training Epoch: 11 [256/48750]	Loss: 0.4310	LR: 0.020000
Training Epoch: 11 [512/48750]	Loss: 0.4562	LR: 0.020000
Training Epoch: 11 [768/48750]	Loss: 0.2952	LR: 0.020000
Training Epoch: 11 [1024/48750]	Loss: 0.4324	LR: 0.020000
Training Epoch: 11 [1280/48750]	Loss: 0.3827	LR: 0.020000
Training Epoch: 11 [1536/48750]	Loss: 0.4406	LR: 0.020000
Training Epoch: 11 [1792/48750]	Loss: 0.4179	LR: 0.020000
Training Epoch: 11 [2048/48750]	Loss: 0.4590	LR: 0.020000
Training Epoch: 11 [2304/48750]	Loss: 0.3533	LR: 0.020000
Training Epoch: 11 [2560/48750]	Loss: 0.4185	LR: 0.020000
Training Epoch: 11 [2816/48750]	Loss: 0.4088	LR: 0.020000
Training Epoch: 11 [3072/48750]	Loss: 0.3241	LR: 0.020000
Training Epoch: 11 [3328/48750]	Loss: 0.4017	LR: 0.020000
Training Epoch: 11 [3584/48750]	Loss: 0.4131	LR: 0.020000
Training Epoch: 11 [3840/48750]	Loss: 0.4758	LR: 0.020000
Training Epoch: 11 [4096/48750]	Loss: 0.4147	LR: 0.020000
Training Epoch: 11 [4352/48750]	Loss: 0.3751	LR: 0.020000
Training Epoch: 11 [4608/48750]	Loss: 0.4018	LR: 0.020000
Training Epoch: 11 [4864/48750]	Loss: 0.3607	LR: 0.020000
Training Epoch: 11 [5120/48750]	Loss: 0.3956	LR: 0.020000
Training Epoch: 11 [5376/48750]	Loss: 0.4187	LR: 0.020000
Training Epoch: 11 [5632/48750]	Loss: 0.3964	LR: 0.020000
Training Epoch: 11 [5888/48750]	Loss: 0.3743	LR: 0.020000
Training Epoch: 11 [6144/48750]	Loss: 0.4760	LR: 0.020000
Training Epoch: 11 [6400/48750]	Loss: 0.3619	LR: 0.020000
Training Epoch: 11 [6656/48750]	Loss: 0.3815	LR: 0.020000
Training Epoch: 11 [6912/48750]	Loss: 0.3915	LR: 0.020000
Training Epoch: 11 [7168/48750]	Loss: 0.4737	LR: 0.020000
Training Epoch: 11 [7424/48750]	Loss: 0.3399	LR: 0.020000
Training Epoch: 11 [7680/48750]	Loss: 0.4213	LR: 0.020000
Training Epoch: 11 [7936/48750]	Loss: 0.4032	LR: 0.020000
Training Epoch: 11 [8192/48750]	Loss: 0.3465	LR: 0.020000
Training Epoch: 11 [8448/48750]	Loss: 0.3126	LR: 0.020000
Training Epoch: 11 [8704/48750]	Loss: 0.5319	LR: 0.020000
Training Epoch: 11 [8960/48750]	Loss: 0.4589	LR: 0.020000
Training Epoch: 11 [9216/48750]	Loss: 0.5462	LR: 0.020000
Training Epoch: 11 [9472/48750]	Loss: 0.4057	LR: 0.020000
Training Epoch: 11 [9728/48750]	Loss: 0.3243	LR: 0.020000
Training Epoch: 11 [9984/48750]	Loss: 0.4316	LR: 0.020000
Training Epoch: 11 [10240/48750]	Loss: 0.4391	LR: 0.020000
Training Epoch: 11 [10496/48750]	Loss: 0.4123	LR: 0.020000
Training Epoch: 11 [10752/48750]	Loss: 0.4380	LR: 0.020000
Training Epoch: 11 [11008/48750]	Loss: 0.4460	LR: 0.020000
Training Epoch: 11 [11264/48750]	Loss: 0.4519	LR: 0.020000
Training Epoch: 11 [11520/48750]	Loss: 0.4348	LR: 0.020000
Training Epoch: 11 [11776/48750]	Loss: 0.3819	LR: 0.020000
Training Epoch: 11 [12032/48750]	Loss: 0.4014	LR: 0.020000
Training Epoch: 11 [12288/48750]	Loss: 0.3853	LR: 0.020000
Training Epoch: 11 [12544/48750]	Loss: 0.3607	LR: 0.020000
Training Epoch: 11 [12800/48750]	Loss: 0.4018	LR: 0.020000
Training Epoch: 11 [13056/48750]	Loss: 0.4032	LR: 0.020000
Training Epoch: 11 [13312/48750]	Loss: 0.3652	LR: 0.020000
Training Epoch: 11 [13568/48750]	Loss: 0.5072	LR: 0.020000
Training Epoch: 11 [13824/48750]	Loss: 0.4032	LR: 0.020000
Training Epoch: 11 [14080/48750]	Loss: 0.3930	LR: 0.020000
Training Epoch: 11 [14336/48750]	Loss: 0.4348	LR: 0.020000
Training Epoch: 11 [14592/48750]	Loss: 0.4522	LR: 0.020000
Training Epoch: 11 [14848/48750]	Loss: 0.4221	LR: 0.020000
Training Epoch: 11 [15104/48750]	Loss: 0.4455	LR: 0.020000
Training Epoch: 11 [15360/48750]	Loss: 0.4171	LR: 0.020000
Training Epoch: 11 [15616/48750]	Loss: 0.4009	LR: 0.020000
Training Epoch: 11 [15872/48750]	Loss: 0.3890	LR: 0.020000
Training Epoch: 11 [16128/48750]	Loss: 0.4358	LR: 0.020000
Training Epoch: 11 [16384/48750]	Loss: 0.4284	LR: 0.020000
Training Epoch: 11 [16640/48750]	Loss: 0.3678	LR: 0.020000
Training Epoch: 11 [16896/48750]	Loss: 0.3817	LR: 0.020000
Training Epoch: 11 [17152/48750]	Loss: 0.4369	LR: 0.020000
Training Epoch: 11 [17408/48750]	Loss: 0.4280	LR: 0.020000
Training Epoch: 11 [17664/48750]	Loss: 0.4915	LR: 0.020000
Training Epoch: 11 [17920/48750]	Loss: 0.4002	LR: 0.020000
Training Epoch: 11 [18176/48750]	Loss: 0.4617	LR: 0.020000
Training Epoch: 11 [18432/48750]	Loss: 0.3577	LR: 0.020000
Training Epoch: 11 [18688/48750]	Loss: 0.4349	LR: 0.020000
Training Epoch: 11 [18944/48750]	Loss: 0.4115	LR: 0.020000
Training Epoch: 11 [19200/48750]	Loss: 0.5146	LR: 0.020000
Training Epoch: 11 [19456/48750]	Loss: 0.4583	LR: 0.020000
Training Epoch: 11 [19712/48750]	Loss: 0.4345	LR: 0.020000
Training Epoch: 11 [19968/48750]	Loss: 0.3206	LR: 0.020000
Training Epoch: 11 [20224/48750]	Loss: 0.5039	LR: 0.020000
Training Epoch: 11 [20480/48750]	Loss: 0.4630	LR: 0.020000
Training Epoch: 11 [20736/48750]	Loss: 0.2982	LR: 0.020000
Training Epoch: 11 [20992/48750]	Loss: 0.3927	LR: 0.020000
Training Epoch: 11 [21248/48750]	Loss: 0.3838	LR: 0.020000
Training Epoch: 11 [21504/48750]	Loss: 0.5005	LR: 0.020000
Training Epoch: 11 [21760/48750]	Loss: 0.3260	LR: 0.020000
Training Epoch: 11 [22016/48750]	Loss: 0.4064	LR: 0.020000
Training Epoch: 11 [22272/48750]	Loss: 0.4478	LR: 0.020000
Training Epoch: 11 [22528/48750]	Loss: 0.4045	LR: 0.020000
Training Epoch: 11 [22784/48750]	Loss: 0.4534	LR: 0.020000
Training Epoch: 11 [23040/48750]	Loss: 0.4387	LR: 0.020000
Training Epoch: 11 [23296/48750]	Loss: 0.3446	LR: 0.020000
Training Epoch: 11 [23552/48750]	Loss: 0.4648	LR: 0.020000
Training Epoch: 11 [23808/48750]	Loss: 0.3825	LR: 0.020000
Training Epoch: 11 [24064/48750]	Loss: 0.4513	LR: 0.020000
Training Epoch: 11 [24320/48750]	Loss: 0.4527	LR: 0.020000
Training Epoch: 11 [24576/48750]	Loss: 0.3157	LR: 0.020000
Training Epoch: 11 [24832/48750]	Loss: 0.4164	LR: 0.020000
Training Epoch: 11 [25088/48750]	Loss: 0.3371	LR: 0.020000
Training Epoch: 11 [25344/48750]	Loss: 0.3416	LR: 0.020000
Training Epoch: 11 [25600/48750]	Loss: 0.3898	LR: 0.020000
Training Epoch: 11 [25856/48750]	Loss: 0.4978	LR: 0.020000
Training Epoch: 11 [26112/48750]	Loss: 0.4200	LR: 0.020000
Training Epoch: 11 [26368/48750]	Loss: 0.3549	LR: 0.020000
Training Epoch: 11 [26624/48750]	Loss: 0.3399	LR: 0.020000
Training Epoch: 11 [26880/48750]	Loss: 0.3769	LR: 0.020000
Training Epoch: 11 [27136/48750]	Loss: 0.2773	LR: 0.020000
Training Epoch: 11 [27392/48750]	Loss: 0.3929	LR: 0.020000
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Training Epoch: 11 [29440/48750]	Loss: 0.3716	LR: 0.020000
Training Epoch: 11 [29696/48750]	Loss: 0.3554	LR: 0.020000
Training Epoch: 11 [29952/48750]	Loss: 0.3689	LR: 0.020000
Training Epoch: 11 [30208/48750]	Loss: 0.3976	LR: 0.020000
Training Epoch: 11 [30464/48750]	Loss: 0.3766	LR: 0.020000
Training Epoch: 11 [30720/48750]	Loss: 0.3608	LR: 0.020000
Training Epoch: 11 [30976/48750]	Loss: 0.3306	LR: 0.020000
Training Epoch: 11 [31232/48750]	Loss: 0.3467	LR: 0.020000
Training Epoch: 11 [31488/48750]	Loss: 0.3353	LR: 0.020000
Training Epoch: 11 [31744/48750]	Loss: 0.3860	LR: 0.020000
Training Epoch: 11 [32000/48750]	Loss: 0.4109	LR: 0.020000
Training Epoch: 11 [32256/48750]	Loss: 0.4435	LR: 0.020000
Training Epoch: 11 [32512/48750]	Loss: 0.4301	LR: 0.020000
Training Epoch: 11 [32768/48750]	Loss: 0.4066	LR: 0.020000
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Training Epoch: 11 [33536/48750]	Loss: 0.3506	LR: 0.020000
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Training Epoch: 11 [34048/48750]	Loss: 0.3590	LR: 0.020000
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Training Epoch: 11 [41472/48750]	Loss: 0.4255	LR: 0.020000
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Training Epoch: 11 [43776/48750]	Loss: 0.3571	LR: 0.020000
Training Epoch: 11 [44032/48750]	Loss: 0.4237	LR: 0.020000
Training Epoch: 11 [44288/48750]	Loss: 0.4076	LR: 0.020000
Training Epoch: 11 [44544/48750]	Loss: 0.4351	LR: 0.020000
Training Epoch: 11 [44800/48750]	Loss: 0.4207	LR: 0.020000
Training Epoch: 11 [45056/48750]	Loss: 0.3971	LR: 0.020000
Training Epoch: 11 [45312/48750]	Loss: 0.2778	LR: 0.020000
Training Epoch: 11 [45568/48750]	Loss: 0.4570	LR: 0.020000
Training Epoch: 11 [45824/48750]	Loss: 0.3286	LR: 0.020000
Training Epoch: 11 [46080/48750]	Loss: 0.5107	LR: 0.020000
Training Epoch: 11 [46336/48750]	Loss: 0.4749	LR: 0.020000
Training Epoch: 11 [46592/48750]	Loss: 0.3136	LR: 0.020000
Training Epoch: 11 [46848/48750]	Loss: 0.3606	LR: 0.020000
Training Epoch: 11 [47104/48750]	Loss: 0.3859	LR: 0.020000
Training Epoch: 11 [47360/48750]	Loss: 0.4663	LR: 0.020000
Training Epoch: 11 [47616/48750]	Loss: 0.4167	LR: 0.020000
Training Epoch: 11 [47872/48750]	Loss: 0.4120	LR: 0.020000
Training Epoch: 11 [48128/48750]	Loss: 0.4097	LR: 0.020000
Training Epoch: 11 [48384/48750]	Loss: 0.3738	LR: 0.020000
Training Epoch: 11 [48640/48750]	Loss: 0.4249	LR: 0.020000
Training Epoch: 11 [48750/48750]	Loss: 0.5142	LR: 0.020000
Epoch 11 - Average Train Loss: 0.4013, Train Accuracy: 0.8617
Epoch 11 training time consumed: 27.15s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0019, Accuracy: 0.8413, Time consumed:0.95s
Training Epoch: 12 [256/48750]	Loss: 0.4209	LR: 0.004000
Training Epoch: 12 [512/48750]	Loss: 0.3428	LR: 0.004000
Training Epoch: 12 [768/48750]	Loss: 0.3387	LR: 0.004000
Training Epoch: 12 [1024/48750]	Loss: 0.3647	LR: 0.004000
Training Epoch: 12 [1280/48750]	Loss: 0.3522	LR: 0.004000
Training Epoch: 12 [1536/48750]	Loss: 0.3750	LR: 0.004000
Training Epoch: 12 [1792/48750]	Loss: 0.4139	LR: 0.004000
Training Epoch: 12 [2048/48750]	Loss: 0.3703	LR: 0.004000
Training Epoch: 12 [2304/48750]	Loss: 0.3846	LR: 0.004000
Training Epoch: 12 [2560/48750]	Loss: 0.4722	LR: 0.004000
Training Epoch: 12 [2816/48750]	Loss: 0.3191	LR: 0.004000
Training Epoch: 12 [3072/48750]	Loss: 0.3880	LR: 0.004000
Training Epoch: 12 [3328/48750]	Loss: 0.3259	LR: 0.004000
Training Epoch: 12 [3584/48750]	Loss: 0.3928	LR: 0.004000
Training Epoch: 12 [3840/48750]	Loss: 0.3937	LR: 0.004000
Training Epoch: 12 [4096/48750]	Loss: 0.4147	LR: 0.004000
Training Epoch: 12 [4352/48750]	Loss: 0.3436	LR: 0.004000
Training Epoch: 12 [4608/48750]	Loss: 0.3674	LR: 0.004000
Training Epoch: 12 [4864/48750]	Loss: 0.3376	LR: 0.004000
Training Epoch: 12 [5120/48750]	Loss: 0.3359	LR: 0.004000
Training Epoch: 12 [5376/48750]	Loss: 0.4182	LR: 0.004000
Training Epoch: 12 [5632/48750]	Loss: 0.3288	LR: 0.004000
Training Epoch: 12 [5888/48750]	Loss: 0.4002	LR: 0.004000
Training Epoch: 12 [6144/48750]	Loss: 0.4149	LR: 0.004000
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Training Epoch: 12 [7168/48750]	Loss: 0.4584	LR: 0.004000
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Training Epoch: 12 [8448/48750]	Loss: 0.3669	LR: 0.004000
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Training Epoch: 12 [9984/48750]	Loss: 0.3069	LR: 0.004000
Training Epoch: 12 [10240/48750]	Loss: 0.3366	LR: 0.004000
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Training Epoch: 12 [11008/48750]	Loss: 0.3713	LR: 0.004000
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Training Epoch: 12 [11776/48750]	Loss: 0.3888	LR: 0.004000
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Training Epoch: 12 [15616/48750]	Loss: 0.3158	LR: 0.004000
Training Epoch: 12 [15872/48750]	Loss: 0.2927	LR: 0.004000
Training Epoch: 12 [16128/48750]	Loss: 0.4255	LR: 0.004000
Training Epoch: 12 [16384/48750]	Loss: 0.2656	LR: 0.004000
Training Epoch: 12 [16640/48750]	Loss: 0.3290	LR: 0.004000
Training Epoch: 12 [16896/48750]	Loss: 0.4099	LR: 0.004000
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Training Epoch: 12 [19712/48750]	Loss: 0.3396	LR: 0.004000
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Training Epoch: 12 [22016/48750]	Loss: 0.3451	LR: 0.004000
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Training Epoch: 12 [26368/48750]	Loss: 0.3365	LR: 0.004000
Training Epoch: 12 [26624/48750]	Loss: 0.3585	LR: 0.004000
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Training Epoch: 12 [27136/48750]	Loss: 0.3281	LR: 0.004000
Training Epoch: 12 [27392/48750]	Loss: 0.2880	LR: 0.004000
Training Epoch: 12 [27648/48750]	Loss: 0.3516	LR: 0.004000
Training Epoch: 12 [27904/48750]	Loss: 0.3592	LR: 0.004000
Training Epoch: 12 [28160/48750]	Loss: 0.4105	LR: 0.004000
Training Epoch: 12 [28416/48750]	Loss: 0.3566	LR: 0.004000
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Training Epoch: 12 [28928/48750]	Loss: 0.3971	LR: 0.004000
Training Epoch: 12 [29184/48750]	Loss: 0.3408	LR: 0.004000
Training Epoch: 12 [29440/48750]	Loss: 0.3905	LR: 0.004000
Training Epoch: 12 [29696/48750]	Loss: 0.3756	LR: 0.004000
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Training Epoch: 12 [45568/48750]	Loss: 0.3473	LR: 0.004000
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Training Epoch: 12 [46336/48750]	Loss: 0.4263	LR: 0.004000
Training Epoch: 12 [46592/48750]	Loss: 0.3317	LR: 0.004000
Training Epoch: 12 [46848/48750]	Loss: 0.3090	LR: 0.004000
Training Epoch: 12 [47104/48750]	Loss: 0.3057	LR: 0.004000
Training Epoch: 12 [47360/48750]	Loss: 0.3729	LR: 0.004000
Training Epoch: 12 [47616/48750]	Loss: 0.4500	LR: 0.004000
Training Epoch: 12 [47872/48750]	Loss: 0.4362	LR: 0.004000
Training Epoch: 12 [48128/48750]	Loss: 0.3370	LR: 0.004000
Training Epoch: 12 [48384/48750]	Loss: 0.3796	LR: 0.004000
Training Epoch: 12 [48640/48750]	Loss: 0.3106	LR: 0.004000
Training Epoch: 12 [48750/48750]	Loss: 0.3991	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3562, Train Accuracy: 0.8765
Epoch 12 training time consumed: 27.15s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0015, Accuracy: 0.8692, Time consumed:0.93s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_09h_29m_20s/AllCNN-Cifar10-seed4-ret75-12-best.pth
Training Epoch: 13 [256/48750]	Loss: 0.2800	LR: 0.004000
Training Epoch: 13 [512/48750]	Loss: 0.2565	LR: 0.004000
Training Epoch: 13 [768/48750]	Loss: 0.3232	LR: 0.004000
Training Epoch: 13 [1024/48750]	Loss: 0.3418	LR: 0.004000
Training Epoch: 13 [1280/48750]	Loss: 0.2887	LR: 0.004000
Training Epoch: 13 [1536/48750]	Loss: 0.3099	LR: 0.004000
Training Epoch: 13 [1792/48750]	Loss: 0.4134	LR: 0.004000
Training Epoch: 13 [2048/48750]	Loss: 0.2892	LR: 0.004000
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Training Epoch: 13 [47616/48750]	Loss: 0.2911	LR: 0.004000
Training Epoch: 13 [47872/48750]	Loss: 0.3871	LR: 0.004000
Training Epoch: 13 [48128/48750]	Loss: 0.3191	LR: 0.004000
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Training Epoch: 13 [48640/48750]	Loss: 0.4191	LR: 0.004000
Training Epoch: 13 [48750/48750]	Loss: 0.4402	LR: 0.004000
Epoch 13 - Average Train Loss: 0.3404, Train Accuracy: 0.8838
Epoch 13 training time consumed: 27.24s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0015, Accuracy: 0.8721, Time consumed:0.90s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_09h_29m_20s/AllCNN-Cifar10-seed4-ret75-13-best.pth
Training Epoch: 14 [256/48750]	Loss: 0.2715	LR: 0.004000
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Training Epoch: 14 [46080/48750]	Loss: 0.2904	LR: 0.004000
Training Epoch: 14 [46336/48750]	Loss: 0.3088	LR: 0.004000
Training Epoch: 14 [46592/48750]	Loss: 0.3837	LR: 0.004000
Training Epoch: 14 [46848/48750]	Loss: 0.3591	LR: 0.004000
Training Epoch: 14 [47104/48750]	Loss: 0.3710	LR: 0.004000
Training Epoch: 14 [47360/48750]	Loss: 0.4094	LR: 0.004000
Training Epoch: 14 [47616/48750]	Loss: 0.2825	LR: 0.004000
Training Epoch: 14 [47872/48750]	Loss: 0.4384	LR: 0.004000
Training Epoch: 14 [48128/48750]	Loss: 0.3440	LR: 0.004000
Training Epoch: 14 [48384/48750]	Loss: 0.3069	LR: 0.004000
Training Epoch: 14 [48640/48750]	Loss: 0.3326	LR: 0.004000
Training Epoch: 14 [48750/48750]	Loss: 0.3811	LR: 0.004000
Epoch 14 - Average Train Loss: 0.3341, Train Accuracy: 0.8856
Epoch 14 training time consumed: 27.03s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0015, Accuracy: 0.8722, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_09h_29m_20s/AllCNN-Cifar10-seed4-ret75-14-best.pth
Training Epoch: 15 [256/48750]	Loss: 0.3979	LR: 0.004000
Training Epoch: 15 [512/48750]	Loss: 0.3552	LR: 0.004000
Training Epoch: 15 [768/48750]	Loss: 0.3261	LR: 0.004000
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Training Epoch: 15 [47616/48750]	Loss: 0.3305	LR: 0.004000
Training Epoch: 15 [47872/48750]	Loss: 0.4000	LR: 0.004000
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Training Epoch: 15 [48750/48750]	Loss: 0.3911	LR: 0.004000
Epoch 15 - Average Train Loss: 0.3266, Train Accuracy: 0.8866
Epoch 15 training time consumed: 27.15s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0015, Accuracy: 0.8764, Time consumed:0.93s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_09h_29m_20s/AllCNN-Cifar10-seed4-ret75-15-best.pth
Training Epoch: 16 [256/48750]	Loss: 0.3722	LR: 0.000800
Training Epoch: 16 [512/48750]	Loss: 0.3867	LR: 0.000800
Training Epoch: 16 [768/48750]	Loss: 0.3339	LR: 0.000800
Training Epoch: 16 [1024/48750]	Loss: 0.2831	LR: 0.000800
Training Epoch: 16 [1280/48750]	Loss: 0.2805	LR: 0.000800
Training Epoch: 16 [1536/48750]	Loss: 0.3334	LR: 0.000800
Training Epoch: 16 [1792/48750]	Loss: 0.3184	LR: 0.000800
Training Epoch: 16 [2048/48750]	Loss: 0.3663	LR: 0.000800
Training Epoch: 16 [2304/48750]	Loss: 0.2964	LR: 0.000800
Training Epoch: 16 [2560/48750]	Loss: 0.3305	LR: 0.000800
Training Epoch: 16 [2816/48750]	Loss: 0.2869	LR: 0.000800
Training Epoch: 16 [3072/48750]	Loss: 0.3151	LR: 0.000800
Training Epoch: 16 [3328/48750]	Loss: 0.3054	LR: 0.000800
Training Epoch: 16 [3584/48750]	Loss: 0.2913	LR: 0.000800
Training Epoch: 16 [3840/48750]	Loss: 0.2519	LR: 0.000800
Training Epoch: 16 [4096/48750]	Loss: 0.3764	LR: 0.000800
Training Epoch: 16 [4352/48750]	Loss: 0.3218	LR: 0.000800
Training Epoch: 16 [4608/48750]	Loss: 0.3062	LR: 0.000800
Training Epoch: 16 [4864/48750]	Loss: 0.3273	LR: 0.000800
Training Epoch: 16 [5120/48750]	Loss: 0.3191	LR: 0.000800
Training Epoch: 16 [5376/48750]	Loss: 0.2981	LR: 0.000800
Training Epoch: 16 [5632/48750]	Loss: 0.2825	LR: 0.000800
Training Epoch: 16 [5888/48750]	Loss: 0.3128	LR: 0.000800
Training Epoch: 16 [6144/48750]	Loss: 0.3202	LR: 0.000800
Training Epoch: 16 [6400/48750]	Loss: 0.3116	LR: 0.000800
Training Epoch: 16 [6656/48750]	Loss: 0.2906	LR: 0.000800
Training Epoch: 16 [6912/48750]	Loss: 0.2908	LR: 0.000800
Training Epoch: 16 [7168/48750]	Loss: 0.2837	LR: 0.000800
Training Epoch: 16 [7424/48750]	Loss: 0.2636	LR: 0.000800
Training Epoch: 16 [7680/48750]	Loss: 0.3377	LR: 0.000800
Training Epoch: 16 [7936/48750]	Loss: 0.2762	LR: 0.000800
Training Epoch: 16 [8192/48750]	Loss: 0.3166	LR: 0.000800
Training Epoch: 16 [8448/48750]	Loss: 0.3323	LR: 0.000800
Training Epoch: 16 [8704/48750]	Loss: 0.3455	LR: 0.000800
Training Epoch: 16 [8960/48750]	Loss: 0.2902	LR: 0.000800
Training Epoch: 16 [9216/48750]	Loss: 0.3193	LR: 0.000800
Training Epoch: 16 [9472/48750]	Loss: 0.3091	LR: 0.000800
Training Epoch: 16 [9728/48750]	Loss: 0.3229	LR: 0.000800
Training Epoch: 16 [9984/48750]	Loss: 0.3510	LR: 0.000800
Training Epoch: 16 [10240/48750]	Loss: 0.3307	LR: 0.000800
Training Epoch: 16 [10496/48750]	Loss: 0.4441	LR: 0.000800
Training Epoch: 16 [10752/48750]	Loss: 0.2984	LR: 0.000800
Training Epoch: 16 [11008/48750]	Loss: 0.2521	LR: 0.000800
Training Epoch: 16 [11264/48750]	Loss: 0.3097	LR: 0.000800
Training Epoch: 16 [11520/48750]	Loss: 0.3279	LR: 0.000800
Training Epoch: 16 [11776/48750]	Loss: 0.2660	LR: 0.000800
Training Epoch: 16 [12032/48750]	Loss: 0.3657	LR: 0.000800
Training Epoch: 16 [12288/48750]	Loss: 0.3404	LR: 0.000800
Training Epoch: 16 [12544/48750]	Loss: 0.2943	LR: 0.000800
Training Epoch: 16 [12800/48750]	Loss: 0.3321	LR: 0.000800
Training Epoch: 16 [13056/48750]	Loss: 0.2897	LR: 0.000800
Training Epoch: 16 [13312/48750]	Loss: 0.3567	LR: 0.000800
Training Epoch: 16 [13568/48750]	Loss: 0.4074	LR: 0.000800
Training Epoch: 16 [13824/48750]	Loss: 0.3234	LR: 0.000800
Training Epoch: 16 [14080/48750]	Loss: 0.3211	LR: 0.000800
Training Epoch: 16 [14336/48750]	Loss: 0.3249	LR: 0.000800
Training Epoch: 16 [14592/48750]	Loss: 0.2348	LR: 0.000800
Training Epoch: 16 [14848/48750]	Loss: 0.2761	LR: 0.000800
Training Epoch: 16 [15104/48750]	Loss: 0.3068	LR: 0.000800
Training Epoch: 16 [15360/48750]	Loss: 0.2800	LR: 0.000800
Training Epoch: 16 [15616/48750]	Loss: 0.2734	LR: 0.000800
Training Epoch: 16 [15872/48750]	Loss: 0.2969	LR: 0.000800
Training Epoch: 16 [16128/48750]	Loss: 0.2858	LR: 0.000800
Training Epoch: 16 [16384/48750]	Loss: 0.3714	LR: 0.000800
Training Epoch: 16 [16640/48750]	Loss: 0.2405	LR: 0.000800
Training Epoch: 16 [16896/48750]	Loss: 0.3871	LR: 0.000800
Training Epoch: 16 [17152/48750]	Loss: 0.3819	LR: 0.000800
Training Epoch: 16 [17408/48750]	Loss: 0.3495	LR: 0.000800
Training Epoch: 16 [17664/48750]	Loss: 0.3063	LR: 0.000800
Training Epoch: 16 [17920/48750]	Loss: 0.3257	LR: 0.000800
Training Epoch: 16 [18176/48750]	Loss: 0.3202	LR: 0.000800
Training Epoch: 16 [18432/48750]	Loss: 0.3293	LR: 0.000800
Training Epoch: 16 [18688/48750]	Loss: 0.3662	LR: 0.000800
Training Epoch: 16 [18944/48750]	Loss: 0.3020	LR: 0.000800
Training Epoch: 16 [19200/48750]	Loss: 0.3557	LR: 0.000800
Training Epoch: 16 [19456/48750]	Loss: 0.3715	LR: 0.000800
Training Epoch: 16 [19712/48750]	Loss: 0.3074	LR: 0.000800
Training Epoch: 16 [19968/48750]	Loss: 0.2717	LR: 0.000800
Training Epoch: 16 [20224/48750]	Loss: 0.3270	LR: 0.000800
Training Epoch: 16 [20480/48750]	Loss: 0.3573	LR: 0.000800
Training Epoch: 16 [20736/48750]	Loss: 0.2590	LR: 0.000800
Training Epoch: 16 [20992/48750]	Loss: 0.2933	LR: 0.000800
Training Epoch: 16 [21248/48750]	Loss: 0.3022	LR: 0.000800
Training Epoch: 16 [21504/48750]	Loss: 0.3821	LR: 0.000800
Training Epoch: 16 [21760/48750]	Loss: 0.2999	LR: 0.000800
Training Epoch: 16 [22016/48750]	Loss: 0.3636	LR: 0.000800
Training Epoch: 16 [22272/48750]	Loss: 0.3261	LR: 0.000800
Training Epoch: 16 [22528/48750]	Loss: 0.2927	LR: 0.000800
Training Epoch: 16 [22784/48750]	Loss: 0.3956	LR: 0.000800
Training Epoch: 16 [23040/48750]	Loss: 0.2925	LR: 0.000800
Training Epoch: 16 [23296/48750]	Loss: 0.3155	LR: 0.000800
Training Epoch: 16 [23552/48750]	Loss: 0.2666	LR: 0.000800
Training Epoch: 16 [23808/48750]	Loss: 0.3281	LR: 0.000800
Training Epoch: 16 [24064/48750]	Loss: 0.2247	LR: 0.000800
Training Epoch: 16 [24320/48750]	Loss: 0.3402	LR: 0.000800
Training Epoch: 16 [24576/48750]	Loss: 0.2629	LR: 0.000800
Training Epoch: 16 [24832/48750]	Loss: 0.3174	LR: 0.000800
Training Epoch: 16 [25088/48750]	Loss: 0.3250	LR: 0.000800
Training Epoch: 16 [25344/48750]	Loss: 0.2901	LR: 0.000800
Training Epoch: 16 [25600/48750]	Loss: 0.3572	LR: 0.000800
Training Epoch: 16 [25856/48750]	Loss: 0.2952	LR: 0.000800
Training Epoch: 16 [26112/48750]	Loss: 0.3547	LR: 0.000800
Training Epoch: 16 [26368/48750]	Loss: 0.3285	LR: 0.000800
Training Epoch: 16 [26624/48750]	Loss: 0.3543	LR: 0.000800
Training Epoch: 16 [26880/48750]	Loss: 0.3693	LR: 0.000800
Training Epoch: 16 [27136/48750]	Loss: 0.2859	LR: 0.000800
Training Epoch: 16 [27392/48750]	Loss: 0.3323	LR: 0.000800
Training Epoch: 16 [27648/48750]	Loss: 0.2379	LR: 0.000800
Training Epoch: 16 [27904/48750]	Loss: 0.2388	LR: 0.000800
Training Epoch: 16 [28160/48750]	Loss: 0.3608	LR: 0.000800
Training Epoch: 16 [28416/48750]	Loss: 0.3234	LR: 0.000800
Training Epoch: 16 [28672/48750]	Loss: 0.3164	LR: 0.000800
Training Epoch: 16 [28928/48750]	Loss: 0.2848	LR: 0.000800
Training Epoch: 16 [29184/48750]	Loss: 0.3293	LR: 0.000800
Training Epoch: 16 [29440/48750]	Loss: 0.2639	LR: 0.000800
Training Epoch: 16 [29696/48750]	Loss: 0.2677	LR: 0.000800
Training Epoch: 16 [29952/48750]	Loss: 0.3232	LR: 0.000800
Training Epoch: 16 [30208/48750]	Loss: 0.3697	LR: 0.000800
Training Epoch: 16 [30464/48750]	Loss: 0.3159	LR: 0.000800
Training Epoch: 16 [30720/48750]	Loss: 0.2904	LR: 0.000800
Training Epoch: 16 [30976/48750]	Loss: 0.3005	LR: 0.000800
Training Epoch: 16 [31232/48750]	Loss: 0.3610	LR: 0.000800
Training Epoch: 16 [31488/48750]	Loss: 0.2812	LR: 0.000800
Training Epoch: 16 [31744/48750]	Loss: 0.2802	LR: 0.000800
Training Epoch: 16 [32000/48750]	Loss: 0.3703	LR: 0.000800
Training Epoch: 16 [32256/48750]	Loss: 0.3508	LR: 0.000800
Training Epoch: 16 [32512/48750]	Loss: 0.3325	LR: 0.000800
Training Epoch: 16 [32768/48750]	Loss: 0.2985	LR: 0.000800
Training Epoch: 16 [33024/48750]	Loss: 0.3294	LR: 0.000800
Training Epoch: 16 [33280/48750]	Loss: 0.3404	LR: 0.000800
Training Epoch: 16 [33536/48750]	Loss: 0.3923	LR: 0.000800
Training Epoch: 16 [33792/48750]	Loss: 0.2960	LR: 0.000800
Training Epoch: 16 [34048/48750]	Loss: 0.3698	LR: 0.000800
Training Epoch: 16 [34304/48750]	Loss: 0.3033	LR: 0.000800
Training Epoch: 16 [34560/48750]	Loss: 0.2952	LR: 0.000800
Training Epoch: 16 [34816/48750]	Loss: 0.3362	LR: 0.000800
Training Epoch: 16 [35072/48750]	Loss: 0.3683	LR: 0.000800
Training Epoch: 16 [35328/48750]	Loss: 0.3409	LR: 0.000800
Training Epoch: 16 [35584/48750]	Loss: 0.3965	LR: 0.000800
Training Epoch: 16 [35840/48750]	Loss: 0.3049	LR: 0.000800
Training Epoch: 16 [36096/48750]	Loss: 0.3386	LR: 0.000800
Training Epoch: 16 [36352/48750]	Loss: 0.2812	LR: 0.000800
Training Epoch: 16 [36608/48750]	Loss: 0.3121	LR: 0.000800
Training Epoch: 16 [36864/48750]	Loss: 0.2491	LR: 0.000800
Training Epoch: 16 [37120/48750]	Loss: 0.3535	LR: 0.000800
Training Epoch: 16 [37376/48750]	Loss: 0.2771	LR: 0.000800
Training Epoch: 16 [37632/48750]	Loss: 0.2934	LR: 0.000800
Training Epoch: 16 [37888/48750]	Loss: 0.3495	LR: 0.000800
Training Epoch: 16 [38144/48750]	Loss: 0.2670	LR: 0.000800
Training Epoch: 16 [38400/48750]	Loss: 0.2837	LR: 0.000800
Training Epoch: 16 [38656/48750]	Loss: 0.2711	LR: 0.000800
Training Epoch: 16 [38912/48750]	Loss: 0.2166	LR: 0.000800
Training Epoch: 16 [39168/48750]	Loss: 0.3485	LR: 0.000800
Training Epoch: 16 [39424/48750]	Loss: 0.2736	LR: 0.000800
Training Epoch: 16 [39680/48750]	Loss: 0.2569	LR: 0.000800
Training Epoch: 16 [39936/48750]	Loss: 0.2899	LR: 0.000800
Training Epoch: 16 [40192/48750]	Loss: 0.3300	LR: 0.000800
Training Epoch: 16 [40448/48750]	Loss: 0.3713	LR: 0.000800
Training Epoch: 16 [40704/48750]	Loss: 0.2902	LR: 0.000800
Training Epoch: 16 [40960/48750]	Loss: 0.3662	LR: 0.000800
Training Epoch: 16 [41216/48750]	Loss: 0.3411	LR: 0.000800
Training Epoch: 16 [41472/48750]	Loss: 0.3308	LR: 0.000800
Training Epoch: 16 [41728/48750]	Loss: 0.4013	LR: 0.000800
Training Epoch: 16 [41984/48750]	Loss: 0.3139	LR: 0.000800
Training Epoch: 16 [42240/48750]	Loss: 0.4051	LR: 0.000800
Training Epoch: 16 [42496/48750]	Loss: 0.3008	LR: 0.000800
Training Epoch: 16 [42752/48750]	Loss: 0.2526	LR: 0.000800
Training Epoch: 16 [43008/48750]	Loss: 0.2227	LR: 0.000800
Training Epoch: 16 [43264/48750]	Loss: 0.3587	LR: 0.000800
Training Epoch: 16 [43520/48750]	Loss: 0.4192	LR: 0.000800
Training Epoch: 16 [43776/48750]	Loss: 0.3435	LR: 0.000800
Training Epoch: 16 [44032/48750]	Loss: 0.2935	LR: 0.000800
Training Epoch: 16 [44288/48750]	Loss: 0.2568	LR: 0.000800
Training Epoch: 16 [44544/48750]	Loss: 0.2818	LR: 0.000800
Training Epoch: 16 [44800/48750]	Loss: 0.2897	LR: 0.000800
Training Epoch: 16 [45056/48750]	Loss: 0.2751	LR: 0.000800
Training Epoch: 16 [45312/48750]	Loss: 0.3151	LR: 0.000800
Training Epoch: 16 [45568/48750]	Loss: 0.3272	LR: 0.000800
Training Epoch: 16 [45824/48750]	Loss: 0.3802	LR: 0.000800
Training Epoch: 16 [46080/48750]	Loss: 0.2918	LR: 0.000800
Training Epoch: 16 [46336/48750]	Loss: 0.2028	LR: 0.000800
Training Epoch: 16 [46592/48750]	Loss: 0.3075	LR: 0.000800
Training Epoch: 16 [46848/48750]	Loss: 0.3238	LR: 0.000800
Training Epoch: 16 [47104/48750]	Loss: 0.3075	LR: 0.000800
Training Epoch: 16 [47360/48750]	Loss: 0.3705	LR: 0.000800
Training Epoch: 16 [47616/48750]	Loss: 0.2987	LR: 0.000800
Training Epoch: 16 [47872/48750]	Loss: 0.2795	LR: 0.000800
Training Epoch: 16 [48128/48750]	Loss: 0.4007	LR: 0.000800
Training Epoch: 16 [48384/48750]	Loss: 0.2662	LR: 0.000800
Training Epoch: 16 [48640/48750]	Loss: 0.3211	LR: 0.000800
Training Epoch: 16 [48750/48750]	Loss: 0.3046	LR: 0.000800
Epoch 16 - Average Train Loss: 0.3162, Train Accuracy: 0.8922
Epoch 16 training time consumed: 27.15s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0014, Accuracy: 0.8752, Time consumed:0.94s
Training Epoch: 17 [256/48750]	Loss: 0.3230	LR: 0.000800
Training Epoch: 17 [512/48750]	Loss: 0.2675	LR: 0.000800
Training Epoch: 17 [768/48750]	Loss: 0.3073	LR: 0.000800
Training Epoch: 17 [1024/48750]	Loss: 0.3474	LR: 0.000800
Training Epoch: 17 [1280/48750]	Loss: 0.2612	LR: 0.000800
Training Epoch: 17 [1536/48750]	Loss: 0.2728	LR: 0.000800
Training Epoch: 17 [1792/48750]	Loss: 0.4150	LR: 0.000800
Training Epoch: 17 [2048/48750]	Loss: 0.3357	LR: 0.000800
Training Epoch: 17 [2304/48750]	Loss: 0.3343	LR: 0.000800
Training Epoch: 17 [2560/48750]	Loss: 0.2773	LR: 0.000800
Training Epoch: 17 [2816/48750]	Loss: 0.2609	LR: 0.000800
Training Epoch: 17 [3072/48750]	Loss: 0.2550	LR: 0.000800
Training Epoch: 17 [3328/48750]	Loss: 0.2525	LR: 0.000800
Training Epoch: 17 [3584/48750]	Loss: 0.3697	LR: 0.000800
Training Epoch: 17 [3840/48750]	Loss: 0.2729	LR: 0.000800
Training Epoch: 17 [4096/48750]	Loss: 0.3190	LR: 0.000800
Training Epoch: 17 [4352/48750]	Loss: 0.2620	LR: 0.000800
Training Epoch: 17 [4608/48750]	Loss: 0.3329	LR: 0.000800
Training Epoch: 17 [4864/48750]	Loss: 0.3572	LR: 0.000800
Training Epoch: 17 [5120/48750]	Loss: 0.3596	LR: 0.000800
Training Epoch: 17 [5376/48750]	Loss: 0.2799	LR: 0.000800
Training Epoch: 17 [5632/48750]	Loss: 0.3357	LR: 0.000800
Training Epoch: 17 [5888/48750]	Loss: 0.2964	LR: 0.000800
Training Epoch: 17 [6144/48750]	Loss: 0.3307	LR: 0.000800
Training Epoch: 17 [6400/48750]	Loss: 0.3170	LR: 0.000800
Training Epoch: 17 [6656/48750]	Loss: 0.2254	LR: 0.000800
Training Epoch: 17 [6912/48750]	Loss: 0.2759	LR: 0.000800
Training Epoch: 17 [7168/48750]	Loss: 0.3294	LR: 0.000800
Training Epoch: 17 [7424/48750]	Loss: 0.3515	LR: 0.000800
Training Epoch: 17 [7680/48750]	Loss: 0.3019	LR: 0.000800
Training Epoch: 17 [7936/48750]	Loss: 0.3489	LR: 0.000800
Training Epoch: 17 [8192/48750]	Loss: 0.3514	LR: 0.000800
Training Epoch: 17 [8448/48750]	Loss: 0.3180	LR: 0.000800
Training Epoch: 17 [8704/48750]	Loss: 0.3791	LR: 0.000800
Training Epoch: 17 [8960/48750]	Loss: 0.2956	LR: 0.000800
Training Epoch: 17 [9216/48750]	Loss: 0.2573	LR: 0.000800
Training Epoch: 17 [9472/48750]	Loss: 0.2781	LR: 0.000800
Training Epoch: 17 [9728/48750]	Loss: 0.3227	LR: 0.000800
Training Epoch: 17 [9984/48750]	Loss: 0.3531	LR: 0.000800
Training Epoch: 17 [10240/48750]	Loss: 0.3622	LR: 0.000800
Training Epoch: 17 [10496/48750]	Loss: 0.2478	LR: 0.000800
Training Epoch: 17 [10752/48750]	Loss: 0.2975	LR: 0.000800
Training Epoch: 17 [11008/48750]	Loss: 0.2895	LR: 0.000800
Training Epoch: 17 [11264/48750]	Loss: 0.3243	LR: 0.000800
Training Epoch: 17 [11520/48750]	Loss: 0.2233	LR: 0.000800
Training Epoch: 17 [11776/48750]	Loss: 0.3416	LR: 0.000800
Training Epoch: 17 [12032/48750]	Loss: 0.3701	LR: 0.000800
Training Epoch: 17 [12288/48750]	Loss: 0.3658	LR: 0.000800
Training Epoch: 17 [12544/48750]	Loss: 0.2899	LR: 0.000800
Training Epoch: 17 [12800/48750]	Loss: 0.4057	LR: 0.000800
Training Epoch: 17 [13056/48750]	Loss: 0.2944	LR: 0.000800
Training Epoch: 17 [13312/48750]	Loss: 0.3052	LR: 0.000800
Training Epoch: 17 [13568/48750]	Loss: 0.3299	LR: 0.000800
Training Epoch: 17 [13824/48750]	Loss: 0.2705	LR: 0.000800
Training Epoch: 17 [14080/48750]	Loss: 0.3229	LR: 0.000800
Training Epoch: 17 [14336/48750]	Loss: 0.3292	LR: 0.000800
Training Epoch: 17 [14592/48750]	Loss: 0.3357	LR: 0.000800
Training Epoch: 17 [14848/48750]	Loss: 0.3199	LR: 0.000800
Training Epoch: 17 [15104/48750]	Loss: 0.3498	LR: 0.000800
Training Epoch: 17 [15360/48750]	Loss: 0.3112	LR: 0.000800
Training Epoch: 17 [15616/48750]	Loss: 0.3335	LR: 0.000800
Training Epoch: 17 [15872/48750]	Loss: 0.2616	LR: 0.000800
Training Epoch: 17 [16128/48750]	Loss: 0.3179	LR: 0.000800
Training Epoch: 17 [16384/48750]	Loss: 0.3334	LR: 0.000800
Training Epoch: 17 [16640/48750]	Loss: 0.2853	LR: 0.000800
Training Epoch: 17 [16896/48750]	Loss: 0.3246	LR: 0.000800
Training Epoch: 17 [17152/48750]	Loss: 0.3074	LR: 0.000800
Training Epoch: 17 [17408/48750]	Loss: 0.2935	LR: 0.000800
Training Epoch: 17 [17664/48750]	Loss: 0.2537	LR: 0.000800
Training Epoch: 17 [17920/48750]	Loss: 0.3520	LR: 0.000800
Training Epoch: 17 [18176/48750]	Loss: 0.3531	LR: 0.000800
Training Epoch: 17 [18432/48750]	Loss: 0.3745	LR: 0.000800
Training Epoch: 17 [18688/48750]	Loss: 0.3151	LR: 0.000800
Training Epoch: 17 [18944/48750]	Loss: 0.3077	LR: 0.000800
Training Epoch: 17 [19200/48750]	Loss: 0.3438	LR: 0.000800
Training Epoch: 17 [19456/48750]	Loss: 0.2705	LR: 0.000800
Training Epoch: 17 [19712/48750]	Loss: 0.3289	LR: 0.000800
Training Epoch: 17 [19968/48750]	Loss: 0.4045	LR: 0.000800
Training Epoch: 17 [20224/48750]	Loss: 0.3245	LR: 0.000800
Training Epoch: 17 [20480/48750]	Loss: 0.2414	LR: 0.000800
Training Epoch: 17 [20736/48750]	Loss: 0.3471	LR: 0.000800
Training Epoch: 17 [20992/48750]	Loss: 0.4218	LR: 0.000800
Training Epoch: 17 [21248/48750]	Loss: 0.3286	LR: 0.000800
Training Epoch: 17 [21504/48750]	Loss: 0.2761	LR: 0.000800
Training Epoch: 17 [21760/48750]	Loss: 0.2418	LR: 0.000800
Training Epoch: 17 [22016/48750]	Loss: 0.3670	LR: 0.000800
Training Epoch: 17 [22272/48750]	Loss: 0.2968	LR: 0.000800
Training Epoch: 17 [22528/48750]	Loss: 0.3071	LR: 0.000800
Training Epoch: 17 [22784/48750]	Loss: 0.2506	LR: 0.000800
Training Epoch: 17 [23040/48750]	Loss: 0.3134	LR: 0.000800
Training Epoch: 17 [23296/48750]	Loss: 0.3146	LR: 0.000800
Training Epoch: 17 [23552/48750]	Loss: 0.3253	LR: 0.000800
Training Epoch: 17 [23808/48750]	Loss: 0.3098	LR: 0.000800
Training Epoch: 17 [24064/48750]	Loss: 0.3144	LR: 0.000800
Training Epoch: 17 [24320/48750]	Loss: 0.2654	LR: 0.000800
Training Epoch: 17 [24576/48750]	Loss: 0.2727	LR: 0.000800
Training Epoch: 17 [24832/48750]	Loss: 0.2683	LR: 0.000800
Training Epoch: 17 [25088/48750]	Loss: 0.2690	LR: 0.000800
Training Epoch: 17 [25344/48750]	Loss: 0.2635	LR: 0.000800
Training Epoch: 17 [25600/48750]	Loss: 0.2889	LR: 0.000800
Training Epoch: 17 [25856/48750]	Loss: 0.2922	LR: 0.000800
Training Epoch: 17 [26112/48750]	Loss: 0.2463	LR: 0.000800
Training Epoch: 17 [26368/48750]	Loss: 0.3561	LR: 0.000800
Training Epoch: 17 [26624/48750]	Loss: 0.3748	LR: 0.000800
Training Epoch: 17 [26880/48750]	Loss: 0.3119	LR: 0.000800
Training Epoch: 17 [27136/48750]	Loss: 0.2588	LR: 0.000800
Training Epoch: 17 [27392/48750]	Loss: 0.4052	LR: 0.000800
Training Epoch: 17 [27648/48750]	Loss: 0.2708	LR: 0.000800
Training Epoch: 17 [27904/48750]	Loss: 0.3002	LR: 0.000800
Training Epoch: 17 [28160/48750]	Loss: 0.2875	LR: 0.000800
Training Epoch: 17 [28416/48750]	Loss: 0.4073	LR: 0.000800
Training Epoch: 17 [28672/48750]	Loss: 0.2417	LR: 0.000800
Training Epoch: 17 [28928/48750]	Loss: 0.2968	LR: 0.000800
Training Epoch: 17 [29184/48750]	Loss: 0.2777	LR: 0.000800
Training Epoch: 17 [29440/48750]	Loss: 0.3305	LR: 0.000800
Training Epoch: 17 [29696/48750]	Loss: 0.3374	LR: 0.000800
Training Epoch: 17 [29952/48750]	Loss: 0.2986	LR: 0.000800
Training Epoch: 17 [30208/48750]	Loss: 0.3914	LR: 0.000800
Training Epoch: 17 [30464/48750]	Loss: 0.2745	LR: 0.000800
Training Epoch: 17 [30720/48750]	Loss: 0.2727	LR: 0.000800
Training Epoch: 17 [30976/48750]	Loss: 0.2686	LR: 0.000800
Training Epoch: 17 [31232/48750]	Loss: 0.3461	LR: 0.000800
Training Epoch: 17 [31488/48750]	Loss: 0.2898	LR: 0.000800
Training Epoch: 17 [31744/48750]	Loss: 0.3106	LR: 0.000800
Training Epoch: 17 [32000/48750]	Loss: 0.2482	LR: 0.000800
Training Epoch: 17 [32256/48750]	Loss: 0.3794	LR: 0.000800
Training Epoch: 17 [32512/48750]	Loss: 0.2932	LR: 0.000800
Training Epoch: 17 [32768/48750]	Loss: 0.2425	LR: 0.000800
Training Epoch: 17 [33024/48750]	Loss: 0.3414	LR: 0.000800
Training Epoch: 17 [33280/48750]	Loss: 0.2840	LR: 0.000800
Training Epoch: 17 [33536/48750]	Loss: 0.3368	LR: 0.000800
Training Epoch: 17 [33792/48750]	Loss: 0.2525	LR: 0.000800
Training Epoch: 17 [34048/48750]	Loss: 0.2894	LR: 0.000800
Training Epoch: 17 [34304/48750]	Loss: 0.3529	LR: 0.000800
Training Epoch: 17 [34560/48750]	Loss: 0.2881	LR: 0.000800
Training Epoch: 17 [34816/48750]	Loss: 0.2910	LR: 0.000800
Training Epoch: 17 [35072/48750]	Loss: 0.3888	LR: 0.000800
Training Epoch: 17 [35328/48750]	Loss: 0.3356	LR: 0.000800
Training Epoch: 17 [35584/48750]	Loss: 0.3208	LR: 0.000800
Training Epoch: 17 [35840/48750]	Loss: 0.3499	LR: 0.000800
Training Epoch: 17 [36096/48750]	Loss: 0.3337	LR: 0.000800
Training Epoch: 17 [36352/48750]	Loss: 0.3110	LR: 0.000800
Training Epoch: 17 [36608/48750]	Loss: 0.3514	LR: 0.000800
Training Epoch: 17 [36864/48750]	Loss: 0.3086	LR: 0.000800
Training Epoch: 17 [37120/48750]	Loss: 0.2972	LR: 0.000800
Training Epoch: 17 [37376/48750]	Loss: 0.2721	LR: 0.000800
Training Epoch: 17 [37632/48750]	Loss: 0.2401	LR: 0.000800
Training Epoch: 17 [37888/48750]	Loss: 0.2497	LR: 0.000800
Training Epoch: 17 [38144/48750]	Loss: 0.2918	LR: 0.000800
Training Epoch: 17 [38400/48750]	Loss: 0.3196	LR: 0.000800
Training Epoch: 17 [38656/48750]	Loss: 0.3429	LR: 0.000800
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Training Epoch: 17 [39168/48750]	Loss: 0.2751	LR: 0.000800
Training Epoch: 17 [39424/48750]	Loss: 0.2321	LR: 0.000800
Training Epoch: 17 [39680/48750]	Loss: 0.4367	LR: 0.000800
Training Epoch: 17 [39936/48750]	Loss: 0.2894	LR: 0.000800
Training Epoch: 17 [40192/48750]	Loss: 0.3572	LR: 0.000800
Training Epoch: 17 [40448/48750]	Loss: 0.3644	LR: 0.000800
Training Epoch: 17 [40704/48750]	Loss: 0.2730	LR: 0.000800
Training Epoch: 17 [40960/48750]	Loss: 0.2735	LR: 0.000800
Training Epoch: 17 [41216/48750]	Loss: 0.3834	LR: 0.000800
Training Epoch: 17 [41472/48750]	Loss: 0.2483	LR: 0.000800
Training Epoch: 17 [41728/48750]	Loss: 0.3151	LR: 0.000800
Training Epoch: 17 [41984/48750]	Loss: 0.2815	LR: 0.000800
Training Epoch: 17 [42240/48750]	Loss: 0.3544	LR: 0.000800
Training Epoch: 17 [42496/48750]	Loss: 0.3607	LR: 0.000800
Training Epoch: 17 [42752/48750]	Loss: 0.3193	LR: 0.000800
Training Epoch: 17 [43008/48750]	Loss: 0.3034	LR: 0.000800
Training Epoch: 17 [43264/48750]	Loss: 0.3339	LR: 0.000800
Training Epoch: 17 [43520/48750]	Loss: 0.2652	LR: 0.000800
Training Epoch: 17 [43776/48750]	Loss: 0.3313	LR: 0.000800
Training Epoch: 17 [44032/48750]	Loss: 0.2739	LR: 0.000800
Training Epoch: 17 [44288/48750]	Loss: 0.2646	LR: 0.000800
Training Epoch: 17 [44544/48750]	Loss: 0.3038	LR: 0.000800
Training Epoch: 17 [44800/48750]	Loss: 0.3492	LR: 0.000800
Training Epoch: 17 [45056/48750]	Loss: 0.3223	LR: 0.000800
Training Epoch: 17 [45312/48750]	Loss: 0.2671	LR: 0.000800
Training Epoch: 17 [45568/48750]	Loss: 0.3422	LR: 0.000800
Training Epoch: 17 [45824/48750]	Loss: 0.2670	LR: 0.000800
Training Epoch: 17 [46080/48750]	Loss: 0.2800	LR: 0.000800
Training Epoch: 17 [46336/48750]	Loss: 0.3608	LR: 0.000800
Training Epoch: 17 [46592/48750]	Loss: 0.2889	LR: 0.000800
Training Epoch: 17 [46848/48750]	Loss: 0.3461	LR: 0.000800
Training Epoch: 17 [47104/48750]	Loss: 0.3225	LR: 0.000800
Training Epoch: 17 [47360/48750]	Loss: 0.3279	LR: 0.000800
Training Epoch: 17 [47616/48750]	Loss: 0.2557	LR: 0.000800
Training Epoch: 17 [47872/48750]	Loss: 0.2172	LR: 0.000800
Training Epoch: 17 [48128/48750]	Loss: 0.3447	LR: 0.000800
Training Epoch: 17 [48384/48750]	Loss: 0.2567	LR: 0.000800
Training Epoch: 17 [48640/48750]	Loss: 0.2975	LR: 0.000800
Training Epoch: 17 [48750/48750]	Loss: 0.3792	LR: 0.000800
Epoch 17 - Average Train Loss: 0.3102, Train Accuracy: 0.8939
Epoch 17 training time consumed: 27.07s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0014, Accuracy: 0.8755, Time consumed:0.99s
Training Epoch: 18 [256/48750]	Loss: 0.3210	LR: 0.000800
Training Epoch: 18 [512/48750]	Loss: 0.2802	LR: 0.000800
Training Epoch: 18 [768/48750]	Loss: 0.3366	LR: 0.000800
Training Epoch: 18 [1024/48750]	Loss: 0.2314	LR: 0.000800
Training Epoch: 18 [1280/48750]	Loss: 0.4045	LR: 0.000800
Training Epoch: 18 [1536/48750]	Loss: 0.2772	LR: 0.000800
Training Epoch: 18 [1792/48750]	Loss: 0.3415	LR: 0.000800
Training Epoch: 18 [2048/48750]	Loss: 0.3637	LR: 0.000800
Training Epoch: 18 [2304/48750]	Loss: 0.3943	LR: 0.000800
Training Epoch: 18 [2560/48750]	Loss: 0.2899	LR: 0.000800
Training Epoch: 18 [2816/48750]	Loss: 0.3174	LR: 0.000800
Training Epoch: 18 [3072/48750]	Loss: 0.2736	LR: 0.000800
Training Epoch: 18 [3328/48750]	Loss: 0.3483	LR: 0.000800
Training Epoch: 18 [3584/48750]	Loss: 0.2946	LR: 0.000800
Training Epoch: 18 [3840/48750]	Loss: 0.2545	LR: 0.000800
Training Epoch: 18 [4096/48750]	Loss: 0.3304	LR: 0.000800
Training Epoch: 18 [4352/48750]	Loss: 0.3360	LR: 0.000800
Training Epoch: 18 [4608/48750]	Loss: 0.2935	LR: 0.000800
Training Epoch: 18 [4864/48750]	Loss: 0.2395	LR: 0.000800
Training Epoch: 18 [5120/48750]	Loss: 0.2724	LR: 0.000800
Training Epoch: 18 [5376/48750]	Loss: 0.3813	LR: 0.000800
Training Epoch: 18 [5632/48750]	Loss: 0.3190	LR: 0.000800
Training Epoch: 18 [5888/48750]	Loss: 0.2328	LR: 0.000800
Training Epoch: 18 [6144/48750]	Loss: 0.2582	LR: 0.000800
Training Epoch: 18 [6400/48750]	Loss: 0.3185	LR: 0.000800
Training Epoch: 18 [6656/48750]	Loss: 0.3293	LR: 0.000800
Training Epoch: 18 [6912/48750]	Loss: 0.3078	LR: 0.000800
Training Epoch: 18 [7168/48750]	Loss: 0.3381	LR: 0.000800
Training Epoch: 18 [7424/48750]	Loss: 0.2745	LR: 0.000800
Training Epoch: 18 [7680/48750]	Loss: 0.2733	LR: 0.000800
Training Epoch: 18 [7936/48750]	Loss: 0.2872	LR: 0.000800
Training Epoch: 18 [8192/48750]	Loss: 0.3710	LR: 0.000800
Training Epoch: 18 [8448/48750]	Loss: 0.2981	LR: 0.000800
Training Epoch: 18 [8704/48750]	Loss: 0.3248	LR: 0.000800
Training Epoch: 18 [8960/48750]	Loss: 0.3525	LR: 0.000800
Training Epoch: 18 [9216/48750]	Loss: 0.2806	LR: 0.000800
Training Epoch: 18 [9472/48750]	Loss: 0.2969	LR: 0.000800
Training Epoch: 18 [9728/48750]	Loss: 0.3486	LR: 0.000800
Training Epoch: 18 [9984/48750]	Loss: 0.3267	LR: 0.000800
Training Epoch: 18 [10240/48750]	Loss: 0.2212	LR: 0.000800
Training Epoch: 18 [10496/48750]	Loss: 0.3707	LR: 0.000800
Training Epoch: 18 [10752/48750]	Loss: 0.3019	LR: 0.000800
Training Epoch: 18 [11008/48750]	Loss: 0.2933	LR: 0.000800
Training Epoch: 18 [11264/48750]	Loss: 0.2814	LR: 0.000800
Training Epoch: 18 [11520/48750]	Loss: 0.3355	LR: 0.000800
Training Epoch: 18 [11776/48750]	Loss: 0.3410	LR: 0.000800
Training Epoch: 18 [12032/48750]	Loss: 0.3539	LR: 0.000800
Training Epoch: 18 [12288/48750]	Loss: 0.3047	LR: 0.000800
Training Epoch: 18 [12544/48750]	Loss: 0.3386	LR: 0.000800
Training Epoch: 18 [12800/48750]	Loss: 0.3830	LR: 0.000800
Training Epoch: 18 [13056/48750]	Loss: 0.2949	LR: 0.000800
Training Epoch: 18 [13312/48750]	Loss: 0.3055	LR: 0.000800
Training Epoch: 18 [13568/48750]	Loss: 0.3946	LR: 0.000800
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Training Epoch: 18 [14080/48750]	Loss: 0.3310	LR: 0.000800
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Training Epoch: 18 [14592/48750]	Loss: 0.3364	LR: 0.000800
Training Epoch: 18 [14848/48750]	Loss: 0.3681	LR: 0.000800
Training Epoch: 18 [15104/48750]	Loss: 0.3753	LR: 0.000800
Training Epoch: 18 [15360/48750]	Loss: 0.3217	LR: 0.000800
Training Epoch: 18 [15616/48750]	Loss: 0.3568	LR: 0.000800
Training Epoch: 18 [15872/48750]	Loss: 0.3053	LR: 0.000800
Training Epoch: 18 [16128/48750]	Loss: 0.3146	LR: 0.000800
Training Epoch: 18 [16384/48750]	Loss: 0.3060	LR: 0.000800
Training Epoch: 18 [16640/48750]	Loss: 0.3061	LR: 0.000800
Training Epoch: 18 [16896/48750]	Loss: 0.2983	LR: 0.000800
Training Epoch: 18 [17152/48750]	Loss: 0.4499	LR: 0.000800
Training Epoch: 18 [17408/48750]	Loss: 0.3258	LR: 0.000800
Training Epoch: 18 [17664/48750]	Loss: 0.2935	LR: 0.000800
Training Epoch: 18 [17920/48750]	Loss: 0.3590	LR: 0.000800
Training Epoch: 18 [18176/48750]	Loss: 0.3703	LR: 0.000800
Training Epoch: 18 [18432/48750]	Loss: 0.2136	LR: 0.000800
Training Epoch: 18 [18688/48750]	Loss: 0.2422	LR: 0.000800
Training Epoch: 18 [18944/48750]	Loss: 0.3091	LR: 0.000800
Training Epoch: 18 [19200/48750]	Loss: 0.3678	LR: 0.000800
Training Epoch: 18 [19456/48750]	Loss: 0.3219	LR: 0.000800
Training Epoch: 18 [19712/48750]	Loss: 0.2644	LR: 0.000800
Training Epoch: 18 [19968/48750]	Loss: 0.3200	LR: 0.000800
Training Epoch: 18 [20224/48750]	Loss: 0.2997	LR: 0.000800
Training Epoch: 18 [20480/48750]	Loss: 0.3143	LR: 0.000800
Training Epoch: 18 [20736/48750]	Loss: 0.2705	LR: 0.000800
Training Epoch: 18 [20992/48750]	Loss: 0.3589	LR: 0.000800
Training Epoch: 18 [21248/48750]	Loss: 0.2110	LR: 0.000800
Training Epoch: 18 [21504/48750]	Loss: 0.3121	LR: 0.000800
Training Epoch: 18 [21760/48750]	Loss: 0.3435	LR: 0.000800
Training Epoch: 18 [22016/48750]	Loss: 0.2558	LR: 0.000800
Training Epoch: 18 [22272/48750]	Loss: 0.3052	LR: 0.000800
Training Epoch: 18 [22528/48750]	Loss: 0.2931	LR: 0.000800
Training Epoch: 18 [22784/48750]	Loss: 0.3983	LR: 0.000800
Training Epoch: 18 [23040/48750]	Loss: 0.2920	LR: 0.000800
Training Epoch: 18 [23296/48750]	Loss: 0.2569	LR: 0.000800
Training Epoch: 18 [23552/48750]	Loss: 0.2387	LR: 0.000800
Training Epoch: 18 [23808/48750]	Loss: 0.2683	LR: 0.000800
Training Epoch: 18 [24064/48750]	Loss: 0.3386	LR: 0.000800
Training Epoch: 18 [24320/48750]	Loss: 0.4072	LR: 0.000800
Training Epoch: 18 [24576/48750]	Loss: 0.2930	LR: 0.000800
Training Epoch: 18 [24832/48750]	Loss: 0.3652	LR: 0.000800
Training Epoch: 18 [25088/48750]	Loss: 0.3149	LR: 0.000800
Training Epoch: 18 [25344/48750]	Loss: 0.3057	LR: 0.000800
Training Epoch: 18 [25600/48750]	Loss: 0.3264	LR: 0.000800
Training Epoch: 18 [25856/48750]	Loss: 0.2476	LR: 0.000800
Training Epoch: 18 [26112/48750]	Loss: 0.3271	LR: 0.000800
Training Epoch: 18 [26368/48750]	Loss: 0.2357	LR: 0.000800
Training Epoch: 18 [26624/48750]	Loss: 0.2912	LR: 0.000800
Training Epoch: 18 [26880/48750]	Loss: 0.3974	LR: 0.000800
Training Epoch: 18 [27136/48750]	Loss: 0.3105	LR: 0.000800
Training Epoch: 18 [27392/48750]	Loss: 0.2857	LR: 0.000800
Training Epoch: 18 [27648/48750]	Loss: 0.3609	LR: 0.000800
Training Epoch: 18 [27904/48750]	Loss: 0.2265	LR: 0.000800
Training Epoch: 18 [28160/48750]	Loss: 0.2899	LR: 0.000800
Training Epoch: 18 [28416/48750]	Loss: 0.3041	LR: 0.000800
Training Epoch: 18 [28672/48750]	Loss: 0.3193	LR: 0.000800
Training Epoch: 18 [28928/48750]	Loss: 0.3244	LR: 0.000800
Training Epoch: 18 [29184/48750]	Loss: 0.3284	LR: 0.000800
Training Epoch: 18 [29440/48750]	Loss: 0.2795	LR: 0.000800
Training Epoch: 18 [29696/48750]	Loss: 0.2800	LR: 0.000800
Training Epoch: 18 [29952/48750]	Loss: 0.2473	LR: 0.000800
Training Epoch: 18 [30208/48750]	Loss: 0.3124	LR: 0.000800
Training Epoch: 18 [30464/48750]	Loss: 0.3655	LR: 0.000800
Training Epoch: 18 [30720/48750]	Loss: 0.2131	LR: 0.000800
Training Epoch: 18 [30976/48750]	Loss: 0.3138	LR: 0.000800
Training Epoch: 18 [31232/48750]	Loss: 0.3218	LR: 0.000800
Training Epoch: 18 [31488/48750]	Loss: 0.2815	LR: 0.000800
Training Epoch: 18 [31744/48750]	Loss: 0.3367	LR: 0.000800
Training Epoch: 18 [32000/48750]	Loss: 0.2516	LR: 0.000800
Training Epoch: 18 [32256/48750]	Loss: 0.3363	LR: 0.000800
Training Epoch: 18 [32512/48750]	Loss: 0.2557	LR: 0.000800
Training Epoch: 18 [32768/48750]	Loss: 0.2993	LR: 0.000800
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Training Epoch: 18 [33536/48750]	Loss: 0.2993	LR: 0.000800
Training Epoch: 18 [33792/48750]	Loss: 0.3472	LR: 0.000800
Training Epoch: 18 [34048/48750]	Loss: 0.3088	LR: 0.000800
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Training Epoch: 18 [35584/48750]	Loss: 0.3600	LR: 0.000800
Training Epoch: 18 [35840/48750]	Loss: 0.3099	LR: 0.000800
Training Epoch: 18 [36096/48750]	Loss: 0.2719	LR: 0.000800
Training Epoch: 18 [36352/48750]	Loss: 0.3382	LR: 0.000800
Training Epoch: 18 [36608/48750]	Loss: 0.2625	LR: 0.000800
Training Epoch: 18 [36864/48750]	Loss: 0.3507	LR: 0.000800
Training Epoch: 18 [37120/48750]	Loss: 0.2694	LR: 0.000800
Training Epoch: 18 [37376/48750]	Loss: 0.2891	LR: 0.000800
Training Epoch: 18 [37632/48750]	Loss: 0.3552	LR: 0.000800
Training Epoch: 18 [37888/48750]	Loss: 0.4193	LR: 0.000800
Training Epoch: 18 [38144/48750]	Loss: 0.3158	LR: 0.000800
Training Epoch: 18 [38400/48750]	Loss: 0.3666	LR: 0.000800
Training Epoch: 18 [38656/48750]	Loss: 0.3502	LR: 0.000800
Training Epoch: 18 [38912/48750]	Loss: 0.3313	LR: 0.000800
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Training Epoch: 18 [39424/48750]	Loss: 0.3888	LR: 0.000800
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Training Epoch: 18 [39936/48750]	Loss: 0.4039	LR: 0.000800
Training Epoch: 18 [40192/48750]	Loss: 0.3124	LR: 0.000800
Training Epoch: 18 [40448/48750]	Loss: 0.3121	LR: 0.000800
Training Epoch: 18 [40704/48750]	Loss: 0.3070	LR: 0.000800
Training Epoch: 18 [40960/48750]	Loss: 0.2675	LR: 0.000800
Training Epoch: 18 [41216/48750]	Loss: 0.3523	LR: 0.000800
Training Epoch: 18 [41472/48750]	Loss: 0.4072	LR: 0.000800
Training Epoch: 18 [41728/48750]	Loss: 0.2496	LR: 0.000800
Training Epoch: 18 [41984/48750]	Loss: 0.2871	LR: 0.000800
Training Epoch: 18 [42240/48750]	Loss: 0.3076	LR: 0.000800
Training Epoch: 18 [42496/48750]	Loss: 0.3214	LR: 0.000800
Training Epoch: 18 [42752/48750]	Loss: 0.2975	LR: 0.000800
Training Epoch: 18 [43008/48750]	Loss: 0.2481	LR: 0.000800
Training Epoch: 18 [43264/48750]	Loss: 0.3092	LR: 0.000800
Training Epoch: 18 [43520/48750]	Loss: 0.3516	LR: 0.000800
Training Epoch: 18 [43776/48750]	Loss: 0.3021	LR: 0.000800
Training Epoch: 18 [44032/48750]	Loss: 0.2515	LR: 0.000800
Training Epoch: 18 [44288/48750]	Loss: 0.3551	LR: 0.000800
Training Epoch: 18 [44544/48750]	Loss: 0.3087	LR: 0.000800
Training Epoch: 18 [44800/48750]	Loss: 0.3309	LR: 0.000800
Training Epoch: 18 [45056/48750]	Loss: 0.3553	LR: 0.000800
Training Epoch: 18 [45312/48750]	Loss: 0.3727	LR: 0.000800
Training Epoch: 18 [45568/48750]	Loss: 0.3027	LR: 0.000800
Training Epoch: 18 [45824/48750]	Loss: 0.2659	LR: 0.000800
Training Epoch: 18 [46080/48750]	Loss: 0.3974	LR: 0.000800
Training Epoch: 18 [46336/48750]	Loss: 0.1940	LR: 0.000800
Training Epoch: 18 [46592/48750]	Loss: 0.3317	LR: 0.000800
Training Epoch: 18 [46848/48750]	Loss: 0.3009	LR: 0.000800
Training Epoch: 18 [47104/48750]	Loss: 0.2982	LR: 0.000800
Training Epoch: 18 [47360/48750]	Loss: 0.3759	LR: 0.000800
Training Epoch: 18 [47616/48750]	Loss: 0.2728	LR: 0.000800
Training Epoch: 18 [47872/48750]	Loss: 0.3357	LR: 0.000800
Training Epoch: 18 [48128/48750]	Loss: 0.3116	LR: 0.000800
Training Epoch: 18 [48384/48750]	Loss: 0.2910	LR: 0.000800
Training Epoch: 18 [48640/48750]	Loss: 0.2872	LR: 0.000800
Training Epoch: 18 [48750/48750]	Loss: 0.2549	LR: 0.000800
Epoch 18 - Average Train Loss: 0.3120, Train Accuracy: 0.8924
Epoch 18 training time consumed: 27.49s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0014, Accuracy: 0.8773, Time consumed:0.98s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_09h_29m_20s/AllCNN-Cifar10-seed4-ret75-18-best.pth
Training Epoch: 19 [256/48750]	Loss: 0.3253	LR: 0.000800
Training Epoch: 19 [512/48750]	Loss: 0.3014	LR: 0.000800
Training Epoch: 19 [768/48750]	Loss: 0.2686	LR: 0.000800
Training Epoch: 19 [1024/48750]	Loss: 0.2676	LR: 0.000800
Training Epoch: 19 [1280/48750]	Loss: 0.2865	LR: 0.000800
Training Epoch: 19 [1536/48750]	Loss: 0.3008	LR: 0.000800
Training Epoch: 19 [1792/48750]	Loss: 0.3166	LR: 0.000800
Training Epoch: 19 [2048/48750]	Loss: 0.3284	LR: 0.000800
Training Epoch: 19 [2304/48750]	Loss: 0.3611	LR: 0.000800
Training Epoch: 19 [2560/48750]	Loss: 0.2593	LR: 0.000800
Training Epoch: 19 [2816/48750]	Loss: 0.2655	LR: 0.000800
Training Epoch: 19 [3072/48750]	Loss: 0.2572	LR: 0.000800
Training Epoch: 19 [3328/48750]	Loss: 0.3326	LR: 0.000800
Training Epoch: 19 [3584/48750]	Loss: 0.2820	LR: 0.000800
Training Epoch: 19 [3840/48750]	Loss: 0.2274	LR: 0.000800
Training Epoch: 19 [4096/48750]	Loss: 0.2312	LR: 0.000800
Training Epoch: 19 [4352/48750]	Loss: 0.2765	LR: 0.000800
Training Epoch: 19 [4608/48750]	Loss: 0.3966	LR: 0.000800
Training Epoch: 19 [4864/48750]	Loss: 0.3293	LR: 0.000800
Training Epoch: 19 [5120/48750]	Loss: 0.2767	LR: 0.000800
Training Epoch: 19 [5376/48750]	Loss: 0.3794	LR: 0.000800
Training Epoch: 19 [5632/48750]	Loss: 0.2277	LR: 0.000800
Training Epoch: 19 [5888/48750]	Loss: 0.4099	LR: 0.000800
Training Epoch: 19 [6144/48750]	Loss: 0.2579	LR: 0.000800
Training Epoch: 19 [6400/48750]	Loss: 0.2252	LR: 0.000800
Training Epoch: 19 [6656/48750]	Loss: 0.3565	LR: 0.000800
Training Epoch: 19 [6912/48750]	Loss: 0.2823	LR: 0.000800
Training Epoch: 19 [7168/48750]	Loss: 0.2878	LR: 0.000800
Training Epoch: 19 [7424/48750]	Loss: 0.3185	LR: 0.000800
Training Epoch: 19 [7680/48750]	Loss: 0.3023	LR: 0.000800
Training Epoch: 19 [7936/48750]	Loss: 0.3001	LR: 0.000800
Training Epoch: 19 [8192/48750]	Loss: 0.3613	LR: 0.000800
Training Epoch: 19 [8448/48750]	Loss: 0.3106	LR: 0.000800
Training Epoch: 19 [8704/48750]	Loss: 0.3647	LR: 0.000800
Training Epoch: 19 [8960/48750]	Loss: 0.3019	LR: 0.000800
Training Epoch: 19 [9216/48750]	Loss: 0.4495	LR: 0.000800
Training Epoch: 19 [9472/48750]	Loss: 0.3062	LR: 0.000800
Training Epoch: 19 [9728/48750]	Loss: 0.3227	LR: 0.000800
Training Epoch: 19 [9984/48750]	Loss: 0.3096	LR: 0.000800
Training Epoch: 19 [10240/48750]	Loss: 0.3468	LR: 0.000800
Training Epoch: 19 [10496/48750]	Loss: 0.2268	LR: 0.000800
Training Epoch: 19 [10752/48750]	Loss: 0.3002	LR: 0.000800
Training Epoch: 19 [11008/48750]	Loss: 0.2898	LR: 0.000800
Training Epoch: 19 [11264/48750]	Loss: 0.3385	LR: 0.000800
Training Epoch: 19 [11520/48750]	Loss: 0.2802	LR: 0.000800
Training Epoch: 19 [11776/48750]	Loss: 0.3786	LR: 0.000800
Training Epoch: 19 [12032/48750]	Loss: 0.2944	LR: 0.000800
Training Epoch: 19 [12288/48750]	Loss: 0.3169	LR: 0.000800
Training Epoch: 19 [12544/48750]	Loss: 0.3697	LR: 0.000800
Training Epoch: 19 [12800/48750]	Loss: 0.2980	LR: 0.000800
Training Epoch: 19 [13056/48750]	Loss: 0.2912	LR: 0.000800
Training Epoch: 19 [13312/48750]	Loss: 0.2365	LR: 0.000800
Training Epoch: 19 [13568/48750]	Loss: 0.3462	LR: 0.000800
Training Epoch: 19 [13824/48750]	Loss: 0.2691	LR: 0.000800
Training Epoch: 19 [14080/48750]	Loss: 0.3316	LR: 0.000800
Training Epoch: 19 [14336/48750]	Loss: 0.2804	LR: 0.000800
Training Epoch: 19 [14592/48750]	Loss: 0.3331	LR: 0.000800
Training Epoch: 19 [14848/48750]	Loss: 0.3396	LR: 0.000800
Training Epoch: 19 [15104/48750]	Loss: 0.2619	LR: 0.000800
Training Epoch: 19 [15360/48750]	Loss: 0.3534	LR: 0.000800
Training Epoch: 19 [15616/48750]	Loss: 0.3539	LR: 0.000800
Training Epoch: 19 [15872/48750]	Loss: 0.2901	LR: 0.000800
Training Epoch: 19 [16128/48750]	Loss: 0.2952	LR: 0.000800
Training Epoch: 19 [16384/48750]	Loss: 0.3161	LR: 0.000800
Training Epoch: 19 [16640/48750]	Loss: 0.3092	LR: 0.000800
Training Epoch: 19 [16896/48750]	Loss: 0.2892	LR: 0.000800
Training Epoch: 19 [17152/48750]	Loss: 0.2859	LR: 0.000800
Training Epoch: 19 [17408/48750]	Loss: 0.3302	LR: 0.000800
Training Epoch: 19 [17664/48750]	Loss: 0.3117	LR: 0.000800
Training Epoch: 19 [17920/48750]	Loss: 0.3095	LR: 0.000800
Training Epoch: 19 [18176/48750]	Loss: 0.2889	LR: 0.000800
Training Epoch: 19 [18432/48750]	Loss: 0.3248	LR: 0.000800
Training Epoch: 19 [18688/48750]	Loss: 0.3545	LR: 0.000800
Training Epoch: 19 [18944/48750]	Loss: 0.3092	LR: 0.000800
Training Epoch: 19 [19200/48750]	Loss: 0.3172	LR: 0.000800
Training Epoch: 19 [19456/48750]	Loss: 0.2992	LR: 0.000800
Training Epoch: 19 [19712/48750]	Loss: 0.2709	LR: 0.000800
Training Epoch: 19 [19968/48750]	Loss: 0.3114	LR: 0.000800
Training Epoch: 19 [20224/48750]	Loss: 0.3312	LR: 0.000800
Training Epoch: 19 [20480/48750]	Loss: 0.2914	LR: 0.000800
Training Epoch: 19 [20736/48750]	Loss: 0.3698	LR: 0.000800
Training Epoch: 19 [20992/48750]	Loss: 0.3323	LR: 0.000800
Training Epoch: 19 [21248/48750]	Loss: 0.2740	LR: 0.000800
Training Epoch: 19 [21504/48750]	Loss: 0.2631	LR: 0.000800
Training Epoch: 19 [21760/48750]	Loss: 0.3416	LR: 0.000800
Training Epoch: 19 [22016/48750]	Loss: 0.2843	LR: 0.000800
Training Epoch: 19 [22272/48750]	Loss: 0.3038	LR: 0.000800
Training Epoch: 19 [22528/48750]	Loss: 0.2807	LR: 0.000800
Training Epoch: 19 [22784/48750]	Loss: 0.2589	LR: 0.000800
Training Epoch: 19 [23040/48750]	Loss: 0.3177	LR: 0.000800
Training Epoch: 19 [23296/48750]	Loss: 0.3050	LR: 0.000800
Training Epoch: 19 [23552/48750]	Loss: 0.3134	LR: 0.000800
Training Epoch: 19 [23808/48750]	Loss: 0.2316	LR: 0.000800
Training Epoch: 19 [24064/48750]	Loss: 0.2869	LR: 0.000800
Training Epoch: 19 [24320/48750]	Loss: 0.3279	LR: 0.000800
Training Epoch: 19 [24576/48750]	Loss: 0.2984	LR: 0.000800
Training Epoch: 19 [24832/48750]	Loss: 0.2991	LR: 0.000800
Training Epoch: 19 [25088/48750]	Loss: 0.3190	LR: 0.000800
Training Epoch: 19 [25344/48750]	Loss: 0.3328	LR: 0.000800
Training Epoch: 19 [25600/48750]	Loss: 0.4515	LR: 0.000800
Training Epoch: 19 [25856/48750]	Loss: 0.2993	LR: 0.000800
Training Epoch: 19 [26112/48750]	Loss: 0.3410	LR: 0.000800
Training Epoch: 19 [26368/48750]	Loss: 0.4152	LR: 0.000800
Training Epoch: 19 [26624/48750]	Loss: 0.3530	LR: 0.000800
Training Epoch: 19 [26880/48750]	Loss: 0.3732	LR: 0.000800
Training Epoch: 19 [27136/48750]	Loss: 0.2597	LR: 0.000800
Training Epoch: 19 [27392/48750]	Loss: 0.2858	LR: 0.000800
Training Epoch: 19 [27648/48750]	Loss: 0.2682	LR: 0.000800
Training Epoch: 19 [27904/48750]	Loss: 0.2865	LR: 0.000800
Training Epoch: 19 [28160/48750]	Loss: 0.2726	LR: 0.000800
Training Epoch: 19 [28416/48750]	Loss: 0.2865	LR: 0.000800
Training Epoch: 19 [28672/48750]	Loss: 0.3726	LR: 0.000800
Training Epoch: 19 [28928/48750]	Loss: 0.2925	LR: 0.000800
Training Epoch: 19 [29184/48750]	Loss: 0.2807	LR: 0.000800
Training Epoch: 19 [29440/48750]	Loss: 0.2862	LR: 0.000800
Training Epoch: 19 [29696/48750]	Loss: 0.3230	LR: 0.000800
Training Epoch: 19 [29952/48750]	Loss: 0.3324	LR: 0.000800
Training Epoch: 19 [30208/48750]	Loss: 0.2899	LR: 0.000800
Training Epoch: 19 [30464/48750]	Loss: 0.3292	LR: 0.000800
Training Epoch: 19 [30720/48750]	Loss: 0.3269	LR: 0.000800
Training Epoch: 19 [30976/48750]	Loss: 0.2717	LR: 0.000800
Training Epoch: 19 [31232/48750]	Loss: 0.3214	LR: 0.000800
Training Epoch: 19 [31488/48750]	Loss: 0.3176	LR: 0.000800
Training Epoch: 19 [31744/48750]	Loss: 0.2940	LR: 0.000800
Training Epoch: 19 [32000/48750]	Loss: 0.3050	LR: 0.000800
Training Epoch: 19 [32256/48750]	Loss: 0.2720	LR: 0.000800
Training Epoch: 19 [32512/48750]	Loss: 0.3695	LR: 0.000800
Training Epoch: 19 [32768/48750]	Loss: 0.2775	LR: 0.000800
Training Epoch: 19 [33024/48750]	Loss: 0.3519	LR: 0.000800
Training Epoch: 19 [33280/48750]	Loss: 0.3038	LR: 0.000800
Training Epoch: 19 [33536/48750]	Loss: 0.3281	LR: 0.000800
Training Epoch: 19 [33792/48750]	Loss: 0.3593	LR: 0.000800
Training Epoch: 19 [34048/48750]	Loss: 0.3271	LR: 0.000800
Training Epoch: 19 [34304/48750]	Loss: 0.2592	LR: 0.000800
Training Epoch: 19 [34560/48750]	Loss: 0.3445	LR: 0.000800
Training Epoch: 19 [34816/48750]	Loss: 0.2943	LR: 0.000800
Training Epoch: 19 [35072/48750]	Loss: 0.3403	LR: 0.000800
Training Epoch: 19 [35328/48750]	Loss: 0.2645	LR: 0.000800
Training Epoch: 19 [35584/48750]	Loss: 0.3175	LR: 0.000800
Training Epoch: 19 [35840/48750]	Loss: 0.3264	LR: 0.000800
Training Epoch: 19 [36096/48750]	Loss: 0.2724	LR: 0.000800
Training Epoch: 19 [36352/48750]	Loss: 0.3014	LR: 0.000800
Training Epoch: 19 [36608/48750]	Loss: 0.3444	LR: 0.000800
Training Epoch: 19 [36864/48750]	Loss: 0.2874	LR: 0.000800
Training Epoch: 19 [37120/48750]	Loss: 0.3425	LR: 0.000800
Training Epoch: 19 [37376/48750]	Loss: 0.3640	LR: 0.000800
Training Epoch: 19 [37632/48750]	Loss: 0.3838	LR: 0.000800
Training Epoch: 19 [37888/48750]	Loss: 0.3349	LR: 0.000800
Training Epoch: 19 [38144/48750]	Loss: 0.2734	LR: 0.000800
Training Epoch: 19 [38400/48750]	Loss: 0.2823	LR: 0.000800
Training Epoch: 19 [38656/48750]	Loss: 0.3778	LR: 0.000800
Training Epoch: 19 [38912/48750]	Loss: 0.2737	LR: 0.000800
Training Epoch: 19 [39168/48750]	Loss: 0.3196	LR: 0.000800
Training Epoch: 19 [39424/48750]	Loss: 0.3094	LR: 0.000800
Training Epoch: 19 [39680/48750]	Loss: 0.3562	LR: 0.000800
Training Epoch: 19 [39936/48750]	Loss: 0.3184	LR: 0.000800
Training Epoch: 19 [40192/48750]	Loss: 0.3424	LR: 0.000800
Training Epoch: 19 [40448/48750]	Loss: 0.2703	LR: 0.000800
Training Epoch: 19 [40704/48750]	Loss: 0.2920	LR: 0.000800
Training Epoch: 19 [40960/48750]	Loss: 0.3643	LR: 0.000800
Training Epoch: 19 [41216/48750]	Loss: 0.3181	LR: 0.000800
Training Epoch: 19 [41472/48750]	Loss: 0.3456	LR: 0.000800
Training Epoch: 19 [41728/48750]	Loss: 0.3540	LR: 0.000800
Training Epoch: 19 [41984/48750]	Loss: 0.2836	LR: 0.000800
Training Epoch: 19 [42240/48750]	Loss: 0.2404	LR: 0.000800
Training Epoch: 19 [42496/48750]	Loss: 0.2652	LR: 0.000800
Training Epoch: 19 [42752/48750]	Loss: 0.3196	LR: 0.000800
Training Epoch: 19 [43008/48750]	Loss: 0.3653	LR: 0.000800
Training Epoch: 19 [43264/48750]	Loss: 0.2415	LR: 0.000800
Training Epoch: 19 [43520/48750]	Loss: 0.3356	LR: 0.000800
Training Epoch: 19 [43776/48750]	Loss: 0.2731	LR: 0.000800
Training Epoch: 19 [44032/48750]	Loss: 0.3086	LR: 0.000800
Training Epoch: 19 [44288/48750]	Loss: 0.3271	LR: 0.000800
Training Epoch: 19 [44544/48750]	Loss: 0.2906	LR: 0.000800
Training Epoch: 19 [44800/48750]	Loss: 0.3067	LR: 0.000800
Training Epoch: 19 [45056/48750]	Loss: 0.2912	LR: 0.000800
Training Epoch: 19 [45312/48750]	Loss: 0.2834	LR: 0.000800
Training Epoch: 19 [45568/48750]	Loss: 0.3266	LR: 0.000800
Training Epoch: 19 [45824/48750]	Loss: 0.3401	LR: 0.000800
Training Epoch: 19 [46080/48750]	Loss: 0.3270	LR: 0.000800
Training Epoch: 19 [46336/48750]	Loss: 0.3582	LR: 0.000800
Training Epoch: 19 [46592/48750]	Loss: 0.3816	LR: 0.000800
Training Epoch: 19 [46848/48750]	Loss: 0.3513	LR: 0.000800
Training Epoch: 19 [47104/48750]	Loss: 0.3935	LR: 0.000800
Training Epoch: 19 [47360/48750]	Loss: 0.2643	LR: 0.000800
Training Epoch: 19 [47616/48750]	Loss: 0.3668	LR: 0.000800
Training Epoch: 19 [47872/48750]	Loss: 0.2507	LR: 0.000800
Training Epoch: 19 [48128/48750]	Loss: 0.2410	LR: 0.000800
Training Epoch: 19 [48384/48750]	Loss: 0.2380	LR: 0.000800
Training Epoch: 19 [48640/48750]	Loss: 0.3259	LR: 0.000800
Training Epoch: 19 [48750/48750]	Loss: 0.2046	LR: 0.000800
Epoch 19 - Average Train Loss: 0.3107, Train Accuracy: 0.8936
Epoch 19 training time consumed: 27.09s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0014, Accuracy: 0.8764, Time consumed:0.93s
Training Epoch: 20 [256/48750]	Loss: 0.3400	LR: 0.000800
Training Epoch: 20 [512/48750]	Loss: 0.3435	LR: 0.000800
Training Epoch: 20 [768/48750]	Loss: 0.2820	LR: 0.000800
Training Epoch: 20 [1024/48750]	Loss: 0.3031	LR: 0.000800
Training Epoch: 20 [1280/48750]	Loss: 0.3165	LR: 0.000800
Training Epoch: 20 [1536/48750]	Loss: 0.3360	LR: 0.000800
Training Epoch: 20 [1792/48750]	Loss: 0.2789	LR: 0.000800
Training Epoch: 20 [2048/48750]	Loss: 0.3214	LR: 0.000800
Training Epoch: 20 [2304/48750]	Loss: 0.3488	LR: 0.000800
Training Epoch: 20 [2560/48750]	Loss: 0.3425	LR: 0.000800
Training Epoch: 20 [2816/48750]	Loss: 0.2684	LR: 0.000800
Training Epoch: 20 [3072/48750]	Loss: 0.2529	LR: 0.000800
Training Epoch: 20 [3328/48750]	Loss: 0.4000	LR: 0.000800
Training Epoch: 20 [3584/48750]	Loss: 0.3077	LR: 0.000800
Training Epoch: 20 [3840/48750]	Loss: 0.4121	LR: 0.000800
Training Epoch: 20 [4096/48750]	Loss: 0.2922	LR: 0.000800
Training Epoch: 20 [4352/48750]	Loss: 0.2646	LR: 0.000800
Training Epoch: 20 [4608/48750]	Loss: 0.2780	LR: 0.000800
Training Epoch: 20 [4864/48750]	Loss: 0.3381	LR: 0.000800
Training Epoch: 20 [5120/48750]	Loss: 0.3336	LR: 0.000800
Training Epoch: 20 [5376/48750]	Loss: 0.3080	LR: 0.000800
Training Epoch: 20 [5632/48750]	Loss: 0.2605	LR: 0.000800
Training Epoch: 20 [5888/48750]	Loss: 0.3051	LR: 0.000800
Training Epoch: 20 [6144/48750]	Loss: 0.3367	LR: 0.000800
Training Epoch: 20 [6400/48750]	Loss: 0.3258	LR: 0.000800
Training Epoch: 20 [6656/48750]	Loss: 0.3295	LR: 0.000800
Training Epoch: 20 [6912/48750]	Loss: 0.3430	LR: 0.000800
Training Epoch: 20 [7168/48750]	Loss: 0.3453	LR: 0.000800
Training Epoch: 20 [7424/48750]	Loss: 0.2632	LR: 0.000800
Training Epoch: 20 [7680/48750]	Loss: 0.2743	LR: 0.000800
Training Epoch: 20 [7936/48750]	Loss: 0.2987	LR: 0.000800
Training Epoch: 20 [8192/48750]	Loss: 0.3244	LR: 0.000800
Training Epoch: 20 [8448/48750]	Loss: 0.2478	LR: 0.000800
Training Epoch: 20 [8704/48750]	Loss: 0.3170	LR: 0.000800
Training Epoch: 20 [8960/48750]	Loss: 0.3454	LR: 0.000800
Training Epoch: 20 [9216/48750]	Loss: 0.3455	LR: 0.000800
Training Epoch: 20 [9472/48750]	Loss: 0.2878	LR: 0.000800
Training Epoch: 20 [9728/48750]	Loss: 0.2792	LR: 0.000800
Training Epoch: 20 [9984/48750]	Loss: 0.3402	LR: 0.000800
Training Epoch: 20 [10240/48750]	Loss: 0.3372	LR: 0.000800
Training Epoch: 20 [10496/48750]	Loss: 0.3271	LR: 0.000800
Training Epoch: 20 [10752/48750]	Loss: 0.2742	LR: 0.000800
Training Epoch: 20 [11008/48750]	Loss: 0.3631	LR: 0.000800
Training Epoch: 20 [11264/48750]	Loss: 0.3049	LR: 0.000800
Training Epoch: 20 [11520/48750]	Loss: 0.3065	LR: 0.000800
Training Epoch: 20 [11776/48750]	Loss: 0.3763	LR: 0.000800
Training Epoch: 20 [12032/48750]	Loss: 0.3942	LR: 0.000800
Training Epoch: 20 [12288/48750]	Loss: 0.2610	LR: 0.000800
Training Epoch: 20 [12544/48750]	Loss: 0.2998	LR: 0.000800
Training Epoch: 20 [12800/48750]	Loss: 0.3432	LR: 0.000800
Training Epoch: 20 [13056/48750]	Loss: 0.2600	LR: 0.000800
Training Epoch: 20 [13312/48750]	Loss: 0.3535	LR: 0.000800
Training Epoch: 20 [13568/48750]	Loss: 0.2727	LR: 0.000800
Training Epoch: 20 [13824/48750]	Loss: 0.2729	LR: 0.000800
Training Epoch: 20 [14080/48750]	Loss: 0.2282	LR: 0.000800
Training Epoch: 20 [14336/48750]	Loss: 0.3168	LR: 0.000800
Training Epoch: 20 [14592/48750]	Loss: 0.2796	LR: 0.000800
Training Epoch: 20 [14848/48750]	Loss: 0.2948	LR: 0.000800
Training Epoch: 20 [15104/48750]	Loss: 0.3991	LR: 0.000800
Training Epoch: 20 [15360/48750]	Loss: 0.3157	LR: 0.000800
Training Epoch: 20 [15616/48750]	Loss: 0.2882	LR: 0.000800
Training Epoch: 20 [15872/48750]	Loss: 0.2854	LR: 0.000800
Training Epoch: 20 [16128/48750]	Loss: 0.3473	LR: 0.000800
Training Epoch: 20 [16384/48750]	Loss: 0.3392	LR: 0.000800
Training Epoch: 20 [16640/48750]	Loss: 0.3336	LR: 0.000800
Training Epoch: 20 [16896/48750]	Loss: 0.3636	LR: 0.000800
Training Epoch: 20 [17152/48750]	Loss: 0.3544	LR: 0.000800
Training Epoch: 20 [17408/48750]	Loss: 0.3207	LR: 0.000800
Training Epoch: 20 [17664/48750]	Loss: 0.3217	LR: 0.000800
Training Epoch: 20 [17920/48750]	Loss: 0.3105	LR: 0.000800
Training Epoch: 20 [18176/48750]	Loss: 0.3317	LR: 0.000800
Training Epoch: 20 [18432/48750]	Loss: 0.3419	LR: 0.000800
Training Epoch: 20 [18688/48750]	Loss: 0.2824	LR: 0.000800
Training Epoch: 20 [18944/48750]	Loss: 0.3199	LR: 0.000800
Training Epoch: 20 [19200/48750]	Loss: 0.2886	LR: 0.000800
Training Epoch: 20 [19456/48750]	Loss: 0.3180	LR: 0.000800
Training Epoch: 20 [19712/48750]	Loss: 0.3496	LR: 0.000800
Training Epoch: 20 [19968/48750]	Loss: 0.3168	LR: 0.000800
Training Epoch: 20 [20224/48750]	Loss: 0.2600	LR: 0.000800
Training Epoch: 20 [20480/48750]	Loss: 0.2881	LR: 0.000800
Training Epoch: 20 [20736/48750]	Loss: 0.2269	LR: 0.000800
Training Epoch: 20 [20992/48750]	Loss: 0.4046	LR: 0.000800
Training Epoch: 20 [21248/48750]	Loss: 0.3792	LR: 0.000800
Training Epoch: 20 [21504/48750]	Loss: 0.3358	LR: 0.000800
Training Epoch: 20 [21760/48750]	Loss: 0.2395	LR: 0.000800
Training Epoch: 20 [22016/48750]	Loss: 0.3337	LR: 0.000800
Training Epoch: 20 [22272/48750]	Loss: 0.3015	LR: 0.000800
Training Epoch: 20 [22528/48750]	Loss: 0.3647	LR: 0.000800
Training Epoch: 20 [22784/48750]	Loss: 0.3232	LR: 0.000800
Training Epoch: 20 [23040/48750]	Loss: 0.3028	LR: 0.000800
Training Epoch: 20 [23296/48750]	Loss: 0.2978	LR: 0.000800
Training Epoch: 20 [23552/48750]	Loss: 0.3140	LR: 0.000800
Training Epoch: 20 [23808/48750]	Loss: 0.2872	LR: 0.000800
Training Epoch: 20 [24064/48750]	Loss: 0.3373	LR: 0.000800
Training Epoch: 20 [24320/48750]	Loss: 0.2693	LR: 0.000800
Training Epoch: 20 [24576/48750]	Loss: 0.3647	LR: 0.000800
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Training Epoch: 20 [35840/48750]	Loss: 0.2898	LR: 0.000800
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Training Epoch: 20 [43008/48750]	Loss: 0.2890	LR: 0.000800
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Training Epoch: 20 [45312/48750]	Loss: 0.3613	LR: 0.000800
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Training Epoch: 20 [45824/48750]	Loss: 0.2702	LR: 0.000800
Training Epoch: 20 [46080/48750]	Loss: 0.2868	LR: 0.000800
Training Epoch: 20 [46336/48750]	Loss: 0.3414	LR: 0.000800
Training Epoch: 20 [46592/48750]	Loss: 0.2219	LR: 0.000800
Training Epoch: 20 [46848/48750]	Loss: 0.3216	LR: 0.000800
Training Epoch: 20 [47104/48750]	Loss: 0.2551	LR: 0.000800
Training Epoch: 20 [47360/48750]	Loss: 0.2625	LR: 0.000800
Training Epoch: 20 [47616/48750]	Loss: 0.2824	LR: 0.000800
Training Epoch: 20 [47872/48750]	Loss: 0.3149	LR: 0.000800
Training Epoch: 20 [48128/48750]	Loss: 0.2745	LR: 0.000800
Training Epoch: 20 [48384/48750]	Loss: 0.3216	LR: 0.000800
Training Epoch: 20 [48640/48750]	Loss: 0.3082	LR: 0.000800
Training Epoch: 20 [48750/48750]	Loss: 0.3968	LR: 0.000800
Epoch 20 - Average Train Loss: 0.3095, Train Accuracy: 0.8946
Epoch 20 training time consumed: 27.20s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0014, Accuracy: 0.8778, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_09h_29m_20s/AllCNN-Cifar10-seed4-ret75-20-best.pth
Valid (Test) Dl:  10000
Train Dl:  50000
Retain Train Dl:  48750
Forget Train Dl:  1250
Retain Valid Dl:  48750
Forget Valid Dl:  1250
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 1250 samples
Set1 Distribution: 1250 samples
Set2 Distribution: 1250 samples
Set1 Distribution: 1250 samples
Set2 Distribution: 1250 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Test Accuracy: 87.919921875
Retain Accuracy: 89.94277954101562
Zero-Retain Forget (ZRF): 0.8577068448066711
Membership Inference Attack (MIA): 0.4392
Forget vs Retain Membership Inference Attack (MIA): 0.514
Forget vs Test Membership Inference Attack (MIA): 0.578
Test vs Retain Membership Inference Attack (MIA): 0.49325
Train vs Test Membership Inference Attack (MIA): 0.5195
Forget Set Accuracy (Df): 86.48506164550781
Method Execution Time: 1058.20 seconds
