hello
hello

📌 Retain class distribution for seed 2:
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 2:
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: 2.3121	LR: 0.000000
Training Epoch: 1 [512/48750]	Loss: 2.3125	LR: 0.000524
Training Epoch: 1 [768/48750]	Loss: 2.3425	LR: 0.001047
Training Epoch: 1 [1024/48750]	Loss: 2.3204	LR: 0.001571
Training Epoch: 1 [1280/48750]	Loss: 2.3365	LR: 0.002094
Training Epoch: 1 [1536/48750]	Loss: 2.3178	LR: 0.002618
Training Epoch: 1 [1792/48750]	Loss: 2.2949	LR: 0.003141
Training Epoch: 1 [2048/48750]	Loss: 2.2888	LR: 0.003665
Training Epoch: 1 [2304/48750]	Loss: 2.2285	LR: 0.004188
Training Epoch: 1 [2560/48750]	Loss: 2.2425	LR: 0.004712
Training Epoch: 1 [2816/48750]	Loss: 2.2136	LR: 0.005236
Training Epoch: 1 [3072/48750]	Loss: 2.2096	LR: 0.005759
Training Epoch: 1 [3328/48750]	Loss: 2.1986	LR: 0.006283
Training Epoch: 1 [3584/48750]	Loss: 2.1577	LR: 0.006806
Training Epoch: 1 [3840/48750]	Loss: 2.1692	LR: 0.007330
Training Epoch: 1 [4096/48750]	Loss: 2.1307	LR: 0.007853
Training Epoch: 1 [4352/48750]	Loss: 2.0895	LR: 0.008377
Training Epoch: 1 [4608/48750]	Loss: 2.1236	LR: 0.008901
Training Epoch: 1 [4864/48750]	Loss: 2.1355	LR: 0.009424
Training Epoch: 1 [5120/48750]	Loss: 2.0687	LR: 0.009948
Training Epoch: 1 [5376/48750]	Loss: 1.9922	LR: 0.010471
Training Epoch: 1 [5632/48750]	Loss: 2.0163	LR: 0.010995
Training Epoch: 1 [5888/48750]	Loss: 1.9747	LR: 0.011518
Training Epoch: 1 [6144/48750]	Loss: 1.9848	LR: 0.012042
Training Epoch: 1 [6400/48750]	Loss: 1.9947	LR: 0.012565
Training Epoch: 1 [6656/48750]	Loss: 1.9957	LR: 0.013089
Training Epoch: 1 [6912/48750]	Loss: 1.9708	LR: 0.013613
Training Epoch: 1 [7168/48750]	Loss: 1.9664	LR: 0.014136
Training Epoch: 1 [7424/48750]	Loss: 1.8987	LR: 0.014660
Training Epoch: 1 [7680/48750]	Loss: 1.9981	LR: 0.015183
Training Epoch: 1 [7936/48750]	Loss: 1.8905	LR: 0.015707
Training Epoch: 1 [8192/48750]	Loss: 1.9331	LR: 0.016230
Training Epoch: 1 [8448/48750]	Loss: 1.8669	LR: 0.016754
Training Epoch: 1 [8704/48750]	Loss: 1.8972	LR: 0.017277
Training Epoch: 1 [8960/48750]	Loss: 1.8450	LR: 0.017801
Training Epoch: 1 [9216/48750]	Loss: 1.9117	LR: 0.018325
Training Epoch: 1 [9472/48750]	Loss: 1.9143	LR: 0.018848
Training Epoch: 1 [9728/48750]	Loss: 1.8840	LR: 0.019372
Training Epoch: 1 [9984/48750]	Loss: 1.8750	LR: 0.019895
Training Epoch: 1 [10240/48750]	Loss: 1.8342	LR: 0.020419
Training Epoch: 1 [10496/48750]	Loss: 1.8352	LR: 0.020942
Training Epoch: 1 [10752/48750]	Loss: 1.7919	LR: 0.021466
Training Epoch: 1 [11008/48750]	Loss: 1.7674	LR: 0.021990
Training Epoch: 1 [11264/48750]	Loss: 1.7929	LR: 0.022513
Training Epoch: 1 [11520/48750]	Loss: 1.7558	LR: 0.023037
Training Epoch: 1 [11776/48750]	Loss: 1.7174	LR: 0.023560
Training Epoch: 1 [12032/48750]	Loss: 1.7207	LR: 0.024084
Training Epoch: 1 [12288/48750]	Loss: 1.7469	LR: 0.024607
Training Epoch: 1 [12544/48750]	Loss: 1.8339	LR: 0.025131
Training Epoch: 1 [12800/48750]	Loss: 1.7431	LR: 0.025654
Training Epoch: 1 [13056/48750]	Loss: 1.7378	LR: 0.026178
Training Epoch: 1 [13312/48750]	Loss: 1.7200	LR: 0.026702
Training Epoch: 1 [13568/48750]	Loss: 1.7418	LR: 0.027225
Training Epoch: 1 [13824/48750]	Loss: 1.7779	LR: 0.027749
Training Epoch: 1 [14080/48750]	Loss: 1.7742	LR: 0.028272
Training Epoch: 1 [14336/48750]	Loss: 1.7939	LR: 0.028796
Training Epoch: 1 [14592/48750]	Loss: 1.6521	LR: 0.029319
Training Epoch: 1 [14848/48750]	Loss: 1.6590	LR: 0.029843
Training Epoch: 1 [15104/48750]	Loss: 1.7125	LR: 0.030366
Training Epoch: 1 [15360/48750]	Loss: 1.7395	LR: 0.030890
Training Epoch: 1 [15616/48750]	Loss: 1.6323	LR: 0.031414
Training Epoch: 1 [15872/48750]	Loss: 1.5640	LR: 0.031937
Training Epoch: 1 [16128/48750]	Loss: 1.7148	LR: 0.032461
Training Epoch: 1 [16384/48750]	Loss: 1.7424	LR: 0.032984
Training Epoch: 1 [16640/48750]	Loss: 1.6528	LR: 0.033508
Training Epoch: 1 [16896/48750]	Loss: 1.6392	LR: 0.034031
Training Epoch: 1 [17152/48750]	Loss: 1.7612	LR: 0.034555
Training Epoch: 1 [17408/48750]	Loss: 1.7162	LR: 0.035079
Training Epoch: 1 [17664/48750]	Loss: 1.6929	LR: 0.035602
Training Epoch: 1 [17920/48750]	Loss: 1.6004	LR: 0.036126
Training Epoch: 1 [18176/48750]	Loss: 1.6256	LR: 0.036649
Training Epoch: 1 [18432/48750]	Loss: 1.6723	LR: 0.037173
Training Epoch: 1 [18688/48750]	Loss: 1.7295	LR: 0.037696
Training Epoch: 1 [18944/48750]	Loss: 1.6936	LR: 0.038220
Training Epoch: 1 [19200/48750]	Loss: 1.5099	LR: 0.038743
Training Epoch: 1 [19456/48750]	Loss: 1.6988	LR: 0.039267
Training Epoch: 1 [19712/48750]	Loss: 1.6748	LR: 0.039791
Training Epoch: 1 [19968/48750]	Loss: 1.6008	LR: 0.040314
Training Epoch: 1 [20224/48750]	Loss: 1.5188	LR: 0.040838
Training Epoch: 1 [20480/48750]	Loss: 1.5810	LR: 0.041361
Training Epoch: 1 [20736/48750]	Loss: 1.5725	LR: 0.041885
Training Epoch: 1 [20992/48750]	Loss: 1.5600	LR: 0.042408
Training Epoch: 1 [21248/48750]	Loss: 1.5457	LR: 0.042932
Training Epoch: 1 [21504/48750]	Loss: 1.7126	LR: 0.043455
Training Epoch: 1 [21760/48750]	Loss: 1.6426	LR: 0.043979
Training Epoch: 1 [22016/48750]	Loss: 1.6194	LR: 0.044503
Training Epoch: 1 [22272/48750]	Loss: 1.5725	LR: 0.045026
Training Epoch: 1 [22528/48750]	Loss: 1.7984	LR: 0.045550
Training Epoch: 1 [22784/48750]	Loss: 1.5990	LR: 0.046073
Training Epoch: 1 [23040/48750]	Loss: 1.6056	LR: 0.046597
Training Epoch: 1 [23296/48750]	Loss: 1.5258	LR: 0.047120
Training Epoch: 1 [23552/48750]	Loss: 1.6168	LR: 0.047644
Training Epoch: 1 [23808/48750]	Loss: 1.6177	LR: 0.048168
Training Epoch: 1 [24064/48750]	Loss: 1.5643	LR: 0.048691
Training Epoch: 1 [24320/48750]	Loss: 1.5377	LR: 0.049215
Training Epoch: 1 [24576/48750]	Loss: 1.5064	LR: 0.049738
Training Epoch: 1 [24832/48750]	Loss: 1.6480	LR: 0.050262
Training Epoch: 1 [25088/48750]	Loss: 1.6056	LR: 0.050785
Training Epoch: 1 [25344/48750]	Loss: 1.6963	LR: 0.051309
Training Epoch: 1 [25600/48750]	Loss: 1.5606	LR: 0.051832
Training Epoch: 1 [25856/48750]	Loss: 1.6211	LR: 0.052356
Training Epoch: 1 [26112/48750]	Loss: 1.5557	LR: 0.052880
Training Epoch: 1 [26368/48750]	Loss: 1.4637	LR: 0.053403
Training Epoch: 1 [26624/48750]	Loss: 1.4909	LR: 0.053927
Training Epoch: 1 [26880/48750]	Loss: 1.4865	LR: 0.054450
Training Epoch: 1 [27136/48750]	Loss: 1.4878	LR: 0.054974
Training Epoch: 1 [27392/48750]	Loss: 1.5370	LR: 0.055497
Training Epoch: 1 [27648/48750]	Loss: 1.5843	LR: 0.056021
Training Epoch: 1 [27904/48750]	Loss: 1.5413	LR: 0.056545
Training Epoch: 1 [28160/48750]	Loss: 1.6589	LR: 0.057068
Training Epoch: 1 [28416/48750]	Loss: 1.5618	LR: 0.057592
Training Epoch: 1 [28672/48750]	Loss: 1.5172	LR: 0.058115
Training Epoch: 1 [28928/48750]	Loss: 1.4973	LR: 0.058639
Training Epoch: 1 [29184/48750]	Loss: 1.4831	LR: 0.059162
Training Epoch: 1 [29440/48750]	Loss: 1.5244	LR: 0.059686
Training Epoch: 1 [29696/48750]	Loss: 1.5255	LR: 0.060209
Training Epoch: 1 [29952/48750]	Loss: 1.5369	LR: 0.060733
Training Epoch: 1 [30208/48750]	Loss: 1.4279	LR: 0.061257
Training Epoch: 1 [30464/48750]	Loss: 1.4957	LR: 0.061780
Training Epoch: 1 [30720/48750]	Loss: 1.5806	LR: 0.062304
Training Epoch: 1 [30976/48750]	Loss: 1.5262	LR: 0.062827
Training Epoch: 1 [31232/48750]	Loss: 1.5363	LR: 0.063351
Training Epoch: 1 [31488/48750]	Loss: 1.4617	LR: 0.063874
Training Epoch: 1 [31744/48750]	Loss: 1.4287	LR: 0.064398
Training Epoch: 1 [32000/48750]	Loss: 1.5146	LR: 0.064921
Training Epoch: 1 [32256/48750]	Loss: 1.5080	LR: 0.065445
Training Epoch: 1 [32512/48750]	Loss: 1.5346	LR: 0.065969
Training Epoch: 1 [32768/48750]	Loss: 1.5132	LR: 0.066492
Training Epoch: 1 [33024/48750]	Loss: 1.5096	LR: 0.067016
Training Epoch: 1 [33280/48750]	Loss: 1.4773	LR: 0.067539
Training Epoch: 1 [33536/48750]	Loss: 1.4239	LR: 0.068063
Training Epoch: 1 [33792/48750]	Loss: 1.5012	LR: 0.068586
Training Epoch: 1 [34048/48750]	Loss: 1.4826	LR: 0.069110
Training Epoch: 1 [34304/48750]	Loss: 1.4946	LR: 0.069634
Training Epoch: 1 [34560/48750]	Loss: 1.5141	LR: 0.070157
Training Epoch: 1 [34816/48750]	Loss: 1.4207	LR: 0.070681
Training Epoch: 1 [35072/48750]	Loss: 1.5269	LR: 0.071204
Training Epoch: 1 [35328/48750]	Loss: 1.4435	LR: 0.071728
Training Epoch: 1 [35584/48750]	Loss: 1.6073	LR: 0.072251
Training Epoch: 1 [35840/48750]	Loss: 1.4665	LR: 0.072775
Training Epoch: 1 [36096/48750]	Loss: 1.5116	LR: 0.073298
Training Epoch: 1 [36352/48750]	Loss: 1.4125	LR: 0.073822
Training Epoch: 1 [36608/48750]	Loss: 1.4233	LR: 0.074346
Training Epoch: 1 [36864/48750]	Loss: 1.5341	LR: 0.074869
Training Epoch: 1 [37120/48750]	Loss: 1.4229	LR: 0.075393
Training Epoch: 1 [37376/48750]	Loss: 1.5390	LR: 0.075916
Training Epoch: 1 [37632/48750]	Loss: 1.5351	LR: 0.076440
Training Epoch: 1 [37888/48750]	Loss: 1.6376	LR: 0.076963
Training Epoch: 1 [38144/48750]	Loss: 1.4927	LR: 0.077487
Training Epoch: 1 [38400/48750]	Loss: 1.3996	LR: 0.078010
Training Epoch: 1 [38656/48750]	Loss: 1.4462	LR: 0.078534
Training Epoch: 1 [38912/48750]	Loss: 1.5806	LR: 0.079058
Training Epoch: 1 [39168/48750]	Loss: 1.5100	LR: 0.079581
Training Epoch: 1 [39424/48750]	Loss: 1.5070	LR: 0.080105
Training Epoch: 1 [39680/48750]	Loss: 1.4811	LR: 0.080628
Training Epoch: 1 [39936/48750]	Loss: 1.5888	LR: 0.081152
Training Epoch: 1 [40192/48750]	Loss: 1.3314	LR: 0.081675
Training Epoch: 1 [40448/48750]	Loss: 1.4324	LR: 0.082199
Training Epoch: 1 [40704/48750]	Loss: 1.4688	LR: 0.082723
Training Epoch: 1 [40960/48750]	Loss: 1.4974	LR: 0.083246
Training Epoch: 1 [41216/48750]	Loss: 1.3653	LR: 0.083770
Training Epoch: 1 [41472/48750]	Loss: 1.3768	LR: 0.084293
Training Epoch: 1 [41728/48750]	Loss: 1.4379	LR: 0.084817
Training Epoch: 1 [41984/48750]	Loss: 1.4349	LR: 0.085340
Training Epoch: 1 [42240/48750]	Loss: 1.4558	LR: 0.085864
Training Epoch: 1 [42496/48750]	Loss: 1.4409	LR: 0.086387
Training Epoch: 1 [42752/48750]	Loss: 1.4008	LR: 0.086911
Training Epoch: 1 [43008/48750]	Loss: 1.3563	LR: 0.087435
Training Epoch: 1 [43264/48750]	Loss: 1.3576	LR: 0.087958
Training Epoch: 1 [43520/48750]	Loss: 1.4675	LR: 0.088482
Training Epoch: 1 [43776/48750]	Loss: 1.2969	LR: 0.089005
Training Epoch: 1 [44032/48750]	Loss: 1.3630	LR: 0.089529
Training Epoch: 1 [44288/48750]	Loss: 1.4751	LR: 0.090052
Training Epoch: 1 [44544/48750]	Loss: 1.4081	LR: 0.090576
Training Epoch: 1 [44800/48750]	Loss: 1.3738	LR: 0.091099
Training Epoch: 1 [45056/48750]	Loss: 1.2936	LR: 0.091623
Training Epoch: 1 [45312/48750]	Loss: 1.4756	LR: 0.092147
Training Epoch: 1 [45568/48750]	Loss: 1.5022	LR: 0.092670
Training Epoch: 1 [45824/48750]	Loss: 1.4600	LR: 0.093194
Training Epoch: 1 [46080/48750]	Loss: 1.3525	LR: 0.093717
Training Epoch: 1 [46336/48750]	Loss: 1.3894	LR: 0.094241
Training Epoch: 1 [46592/48750]	Loss: 1.3431	LR: 0.094764
Training Epoch: 1 [46848/48750]	Loss: 1.2650	LR: 0.095288
Training Epoch: 1 [47104/48750]	Loss: 1.3109	LR: 0.095812
Training Epoch: 1 [47360/48750]	Loss: 1.4650	LR: 0.096335
Training Epoch: 1 [47616/48750]	Loss: 1.4159	LR: 0.096859
Training Epoch: 1 [47872/48750]	Loss: 1.4444	LR: 0.097382
Training Epoch: 1 [48128/48750]	Loss: 1.3858	LR: 0.097906
Training Epoch: 1 [48384/48750]	Loss: 1.4393	LR: 0.098429
Training Epoch: 1 [48640/48750]	Loss: 1.3358	LR: 0.098953
Training Epoch: 1 [48750/48750]	Loss: 1.2989	LR: 0.099476
Epoch 1 - Average Train Loss: 1.6591, Train Accuracy: 0.3886
Epoch 1 training time consumed: 27.84s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0071, Accuracy: 0.4214, Time consumed:1.08s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_08h_53m_12s/AllCNN-Cifar10-seed2-ret75-1-best.pth
Training Epoch: 2 [256/48750]	Loss: 1.2969	LR: 0.100000
Training Epoch: 2 [512/48750]	Loss: 1.3539	LR: 0.100000
Training Epoch: 2 [768/48750]	Loss: 1.4262	LR: 0.100000
Training Epoch: 2 [1024/48750]	Loss: 1.2951	LR: 0.100000
Training Epoch: 2 [1280/48750]	Loss: 1.2482	LR: 0.100000
Training Epoch: 2 [1536/48750]	Loss: 1.3714	LR: 0.100000
Training Epoch: 2 [1792/48750]	Loss: 1.4199	LR: 0.100000
Training Epoch: 2 [2048/48750]	Loss: 1.3294	LR: 0.100000
Training Epoch: 2 [2304/48750]	Loss: 1.2760	LR: 0.100000
Training Epoch: 2 [2560/48750]	Loss: 1.3464	LR: 0.100000
Training Epoch: 2 [2816/48750]	Loss: 1.2841	LR: 0.100000
Training Epoch: 2 [3072/48750]	Loss: 1.4462	LR: 0.100000
Training Epoch: 2 [3328/48750]	Loss: 1.3054	LR: 0.100000
Training Epoch: 2 [3584/48750]	Loss: 1.3354	LR: 0.100000
Training Epoch: 2 [3840/48750]	Loss: 1.3346	LR: 0.100000
Training Epoch: 2 [4096/48750]	Loss: 1.3444	LR: 0.100000
Training Epoch: 2 [4352/48750]	Loss: 1.2622	LR: 0.100000
Training Epoch: 2 [4608/48750]	Loss: 1.2502	LR: 0.100000
Training Epoch: 2 [4864/48750]	Loss: 1.3578	LR: 0.100000
Training Epoch: 2 [5120/48750]	Loss: 1.2668	LR: 0.100000
Training Epoch: 2 [5376/48750]	Loss: 1.2784	LR: 0.100000
Training Epoch: 2 [5632/48750]	Loss: 1.4143	LR: 0.100000
Training Epoch: 2 [5888/48750]	Loss: 1.2861	LR: 0.100000
Training Epoch: 2 [6144/48750]	Loss: 1.2506	LR: 0.100000
Training Epoch: 2 [6400/48750]	Loss: 1.3718	LR: 0.100000
Training Epoch: 2 [6656/48750]	Loss: 1.1820	LR: 0.100000
Training Epoch: 2 [6912/48750]	Loss: 1.3530	LR: 0.100000
Training Epoch: 2 [7168/48750]	Loss: 1.1466	LR: 0.100000
Training Epoch: 2 [7424/48750]	Loss: 1.2863	LR: 0.100000
Training Epoch: 2 [7680/48750]	Loss: 1.2182	LR: 0.100000
Training Epoch: 2 [7936/48750]	Loss: 1.3214	LR: 0.100000
Training Epoch: 2 [8192/48750]	Loss: 1.3236	LR: 0.100000
Training Epoch: 2 [8448/48750]	Loss: 1.4961	LR: 0.100000
Training Epoch: 2 [8704/48750]	Loss: 1.2270	LR: 0.100000
Training Epoch: 2 [8960/48750]	Loss: 1.3187	LR: 0.100000
Training Epoch: 2 [9216/48750]	Loss: 1.1963	LR: 0.100000
Training Epoch: 2 [9472/48750]	Loss: 1.2839	LR: 0.100000
Training Epoch: 2 [9728/48750]	Loss: 1.2813	LR: 0.100000
Training Epoch: 2 [9984/48750]	Loss: 1.1893	LR: 0.100000
Training Epoch: 2 [10240/48750]	Loss: 1.1700	LR: 0.100000
Training Epoch: 2 [10496/48750]	Loss: 1.2317	LR: 0.100000
Training Epoch: 2 [10752/48750]	Loss: 1.2195	LR: 0.100000
Training Epoch: 2 [11008/48750]	Loss: 1.1907	LR: 0.100000
Training Epoch: 2 [11264/48750]	Loss: 1.4620	LR: 0.100000
Training Epoch: 2 [11520/48750]	Loss: 1.2339	LR: 0.100000
Training Epoch: 2 [11776/48750]	Loss: 1.2422	LR: 0.100000
Training Epoch: 2 [12032/48750]	Loss: 1.1314	LR: 0.100000
Training Epoch: 2 [12288/48750]	Loss: 1.1687	LR: 0.100000
Training Epoch: 2 [12544/48750]	Loss: 1.3658	LR: 0.100000
Training Epoch: 2 [12800/48750]	Loss: 1.2723	LR: 0.100000
Training Epoch: 2 [13056/48750]	Loss: 1.1990	LR: 0.100000
Training Epoch: 2 [13312/48750]	Loss: 1.2978	LR: 0.100000
Training Epoch: 2 [13568/48750]	Loss: 1.2513	LR: 0.100000
Training Epoch: 2 [13824/48750]	Loss: 1.2208	LR: 0.100000
Training Epoch: 2 [14080/48750]	Loss: 1.1102	LR: 0.100000
Training Epoch: 2 [14336/48750]	Loss: 1.2667	LR: 0.100000
Training Epoch: 2 [14592/48750]	Loss: 1.1044	LR: 0.100000
Training Epoch: 2 [14848/48750]	Loss: 1.4162	LR: 0.100000
Training Epoch: 2 [15104/48750]	Loss: 1.2801	LR: 0.100000
Training Epoch: 2 [15360/48750]	Loss: 1.2829	LR: 0.100000
Training Epoch: 2 [15616/48750]	Loss: 1.1417	LR: 0.100000
Training Epoch: 2 [15872/48750]	Loss: 1.2116	LR: 0.100000
Training Epoch: 2 [16128/48750]	Loss: 1.3297	LR: 0.100000
Training Epoch: 2 [16384/48750]	Loss: 1.1110	LR: 0.100000
Training Epoch: 2 [16640/48750]	Loss: 1.2172	LR: 0.100000
Training Epoch: 2 [16896/48750]	Loss: 1.2311	LR: 0.100000
Training Epoch: 2 [17152/48750]	Loss: 1.2341	LR: 0.100000
Training Epoch: 2 [17408/48750]	Loss: 1.2247	LR: 0.100000
Training Epoch: 2 [17664/48750]	Loss: 1.1717	LR: 0.100000
Training Epoch: 2 [17920/48750]	Loss: 1.2286	LR: 0.100000
Training Epoch: 2 [18176/48750]	Loss: 1.2032	LR: 0.100000
Training Epoch: 2 [18432/48750]	Loss: 1.1530	LR: 0.100000
Training Epoch: 2 [18688/48750]	Loss: 1.1337	LR: 0.100000
Training Epoch: 2 [18944/48750]	Loss: 1.1707	LR: 0.100000
Training Epoch: 2 [19200/48750]	Loss: 1.1874	LR: 0.100000
Training Epoch: 2 [19456/48750]	Loss: 1.2663	LR: 0.100000
Training Epoch: 2 [19712/48750]	Loss: 1.1825	LR: 0.100000
Training Epoch: 2 [19968/48750]	Loss: 1.1187	LR: 0.100000
Training Epoch: 2 [20224/48750]	Loss: 1.2284	LR: 0.100000
Training Epoch: 2 [20480/48750]	Loss: 1.2281	LR: 0.100000
Training Epoch: 2 [20736/48750]	Loss: 1.3020	LR: 0.100000
Training Epoch: 2 [20992/48750]	Loss: 1.0664	LR: 0.100000
Training Epoch: 2 [21248/48750]	Loss: 1.3289	LR: 0.100000
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Training Epoch: 2 [48640/48750]	Loss: 0.9977	LR: 0.100000
Training Epoch: 2 [48750/48750]	Loss: 1.0814	LR: 0.100000
Epoch 2 - Average Train Loss: 1.1805, Train Accuracy: 0.5723
Epoch 2 training time consumed: 27.07s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0048, Accuracy: 0.5813, Time consumed:0.95s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_08h_53m_12s/AllCNN-Cifar10-seed2-ret75-2-best.pth
Training Epoch: 3 [256/48750]	Loss: 1.0546	LR: 0.100000
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Training Epoch: 3 [48384/48750]	Loss: 0.8258	LR: 0.100000
Training Epoch: 3 [48640/48750]	Loss: 0.9671	LR: 0.100000
Training Epoch: 3 [48750/48750]	Loss: 0.9227	LR: 0.100000
Epoch 3 - Average Train Loss: 0.9788, Train Accuracy: 0.6519
Epoch 3 training time consumed: 27.10s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0040, Accuracy: 0.6461, Time consumed:0.90s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_08h_53m_12s/AllCNN-Cifar10-seed2-ret75-3-best.pth
Training Epoch: 4 [256/48750]	Loss: 0.9450	LR: 0.100000
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Training Epoch: 4 [48750/48750]	Loss: 0.8300	LR: 0.100000
Epoch 4 - Average Train Loss: 0.8645, Train Accuracy: 0.6941
Epoch 4 training time consumed: 27.07s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0036, Accuracy: 0.6922, Time consumed:0.88s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_08h_53m_12s/AllCNN-Cifar10-seed2-ret75-4-best.pth
Training Epoch: 5 [256/48750]	Loss: 0.8314	LR: 0.100000
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Training Epoch: 5 [48750/48750]	Loss: 0.8096	LR: 0.100000
Epoch 5 - Average Train Loss: 0.7520, Train Accuracy: 0.7386
Epoch 5 training time consumed: 27.13s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0036, Accuracy: 0.6959, Time consumed:0.86s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_08h_53m_12s/AllCNN-Cifar10-seed2-ret75-5-best.pth
Training Epoch: 6 [256/48750]	Loss: 0.6659	LR: 0.100000
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Training Epoch: 6 [48750/48750]	Loss: 0.7359	LR: 0.100000
Epoch 6 - Average Train Loss: 0.6948, Train Accuracy: 0.7589
Epoch 6 training time consumed: 27.26s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0032, Accuracy: 0.7278, Time consumed:0.92s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_08h_53m_12s/AllCNN-Cifar10-seed2-ret75-6-best.pth
Training Epoch: 7 [256/48750]	Loss: 0.5747	LR: 0.100000
Training Epoch: 7 [512/48750]	Loss: 0.6105	LR: 0.100000
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Training Epoch: 7 [48128/48750]	Loss: 0.6842	LR: 0.100000
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Training Epoch: 7 [48750/48750]	Loss: 0.7133	LR: 0.100000
Epoch 7 - Average Train Loss: 0.6388, Train Accuracy: 0.7782
Epoch 7 training time consumed: 27.25s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0028, Accuracy: 0.7702, Time consumed:0.98s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_08h_53m_12s/AllCNN-Cifar10-seed2-ret75-7-best.pth
Training Epoch: 8 [256/48750]	Loss: 0.6068	LR: 0.020000
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Training Epoch: 8 [28160/48750]	Loss: 0.4188	LR: 0.020000
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Training Epoch: 8 [45056/48750]	Loss: 0.3677	LR: 0.020000
Training Epoch: 8 [45312/48750]	Loss: 0.4300	LR: 0.020000
Training Epoch: 8 [45568/48750]	Loss: 0.4295	LR: 0.020000
Training Epoch: 8 [45824/48750]	Loss: 0.5043	LR: 0.020000
Training Epoch: 8 [46080/48750]	Loss: 0.4348	LR: 0.020000
Training Epoch: 8 [46336/48750]	Loss: 0.4529	LR: 0.020000
Training Epoch: 8 [46592/48750]	Loss: 0.4763	LR: 0.020000
Training Epoch: 8 [46848/48750]	Loss: 0.4109	LR: 0.020000
Training Epoch: 8 [47104/48750]	Loss: 0.4758	LR: 0.020000
Training Epoch: 8 [47360/48750]	Loss: 0.3617	LR: 0.020000
Training Epoch: 8 [47616/48750]	Loss: 0.4793	LR: 0.020000
Training Epoch: 8 [47872/48750]	Loss: 0.3657	LR: 0.020000
Training Epoch: 8 [48128/48750]	Loss: 0.5346	LR: 0.020000
Training Epoch: 8 [48384/48750]	Loss: 0.3825	LR: 0.020000
Training Epoch: 8 [48640/48750]	Loss: 0.4426	LR: 0.020000
Training Epoch: 8 [48750/48750]	Loss: 0.5619	LR: 0.020000
Epoch 8 - Average Train Loss: 0.4830, Train Accuracy: 0.8328
Epoch 8 training time consumed: 27.02s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0019, Accuracy: 0.8359, Time consumed:0.93s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_08h_53m_12s/AllCNN-Cifar10-seed2-ret75-8-best.pth
Training Epoch: 9 [256/48750]	Loss: 0.3293	LR: 0.020000
Training Epoch: 9 [512/48750]	Loss: 0.5259	LR: 0.020000
Training Epoch: 9 [768/48750]	Loss: 0.4532	LR: 0.020000
Training Epoch: 9 [1024/48750]	Loss: 0.4069	LR: 0.020000
Training Epoch: 9 [1280/48750]	Loss: 0.5524	LR: 0.020000
Training Epoch: 9 [1536/48750]	Loss: 0.4010	LR: 0.020000
Training Epoch: 9 [1792/48750]	Loss: 0.4545	LR: 0.020000
Training Epoch: 9 [2048/48750]	Loss: 0.5268	LR: 0.020000
Training Epoch: 9 [2304/48750]	Loss: 0.5576	LR: 0.020000
Training Epoch: 9 [2560/48750]	Loss: 0.5100	LR: 0.020000
Training Epoch: 9 [2816/48750]	Loss: 0.4135	LR: 0.020000
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Training Epoch: 9 [45056/48750]	Loss: 0.4433	LR: 0.020000
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Training Epoch: 9 [46336/48750]	Loss: 0.4191	LR: 0.020000
Training Epoch: 9 [46592/48750]	Loss: 0.4725	LR: 0.020000
Training Epoch: 9 [46848/48750]	Loss: 0.4333	LR: 0.020000
Training Epoch: 9 [47104/48750]	Loss: 0.4177	LR: 0.020000
Training Epoch: 9 [47360/48750]	Loss: 0.3547	LR: 0.020000
Training Epoch: 9 [47616/48750]	Loss: 0.4256	LR: 0.020000
Training Epoch: 9 [47872/48750]	Loss: 0.4389	LR: 0.020000
Training Epoch: 9 [48128/48750]	Loss: 0.3732	LR: 0.020000
Training Epoch: 9 [48384/48750]	Loss: 0.4704	LR: 0.020000
Training Epoch: 9 [48640/48750]	Loss: 0.4055	LR: 0.020000
Training Epoch: 9 [48750/48750]	Loss: 0.4797	LR: 0.020000
Epoch 9 - Average Train Loss: 0.4392, Train Accuracy: 0.8497
Epoch 9 training time consumed: 27.09s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0019, Accuracy: 0.8394, Time consumed:0.89s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_08h_53m_12s/AllCNN-Cifar10-seed2-ret75-9-best.pth
Training Epoch: 10 [256/48750]	Loss: 0.4239	LR: 0.020000
Training Epoch: 10 [512/48750]	Loss: 0.4361	LR: 0.020000
Training Epoch: 10 [768/48750]	Loss: 0.4979	LR: 0.020000
Training Epoch: 10 [1024/48750]	Loss: 0.4262	LR: 0.020000
Training Epoch: 10 [1280/48750]	Loss: 0.3983	LR: 0.020000
Training Epoch: 10 [1536/48750]	Loss: 0.4205	LR: 0.020000
Training Epoch: 10 [1792/48750]	Loss: 0.3743	LR: 0.020000
Training Epoch: 10 [2048/48750]	Loss: 0.4482	LR: 0.020000
Training Epoch: 10 [2304/48750]	Loss: 0.3520	LR: 0.020000
Training Epoch: 10 [2560/48750]	Loss: 0.4496	LR: 0.020000
Training Epoch: 10 [2816/48750]	Loss: 0.4680	LR: 0.020000
Training Epoch: 10 [3072/48750]	Loss: 0.3628	LR: 0.020000
Training Epoch: 10 [3328/48750]	Loss: 0.4472	LR: 0.020000
Training Epoch: 10 [3584/48750]	Loss: 0.4146	LR: 0.020000
Training Epoch: 10 [3840/48750]	Loss: 0.3509	LR: 0.020000
Training Epoch: 10 [4096/48750]	Loss: 0.4123	LR: 0.020000
Training Epoch: 10 [4352/48750]	Loss: 0.4405	LR: 0.020000
Training Epoch: 10 [4608/48750]	Loss: 0.3540	LR: 0.020000
Training Epoch: 10 [4864/48750]	Loss: 0.4103	LR: 0.020000
Training Epoch: 10 [5120/48750]	Loss: 0.3824	LR: 0.020000
Training Epoch: 10 [5376/48750]	Loss: 0.4471	LR: 0.020000
Training Epoch: 10 [5632/48750]	Loss: 0.3517	LR: 0.020000
Training Epoch: 10 [5888/48750]	Loss: 0.4235	LR: 0.020000
Training Epoch: 10 [6144/48750]	Loss: 0.4274	LR: 0.020000
Training Epoch: 10 [6400/48750]	Loss: 0.4628	LR: 0.020000
Training Epoch: 10 [6656/48750]	Loss: 0.4195	LR: 0.020000
Training Epoch: 10 [6912/48750]	Loss: 0.3387	LR: 0.020000
Training Epoch: 10 [7168/48750]	Loss: 0.3965	LR: 0.020000
Training Epoch: 10 [7424/48750]	Loss: 0.5181	LR: 0.020000
Training Epoch: 10 [7680/48750]	Loss: 0.3129	LR: 0.020000
Training Epoch: 10 [7936/48750]	Loss: 0.3512	LR: 0.020000
Training Epoch: 10 [8192/48750]	Loss: 0.3783	LR: 0.020000
Training Epoch: 10 [8448/48750]	Loss: 0.4755	LR: 0.020000
Training Epoch: 10 [8704/48750]	Loss: 0.4393	LR: 0.020000
Training Epoch: 10 [8960/48750]	Loss: 0.4031	LR: 0.020000
Training Epoch: 10 [9216/48750]	Loss: 0.4352	LR: 0.020000
Training Epoch: 10 [9472/48750]	Loss: 0.4499	LR: 0.020000
Training Epoch: 10 [9728/48750]	Loss: 0.4671	LR: 0.020000
Training Epoch: 10 [9984/48750]	Loss: 0.3878	LR: 0.020000
Training Epoch: 10 [10240/48750]	Loss: 0.3113	LR: 0.020000
Training Epoch: 10 [10496/48750]	Loss: 0.3834	LR: 0.020000
Training Epoch: 10 [10752/48750]	Loss: 0.4752	LR: 0.020000
Training Epoch: 10 [11008/48750]	Loss: 0.4512	LR: 0.020000
Training Epoch: 10 [11264/48750]	Loss: 0.3753	LR: 0.020000
Training Epoch: 10 [11520/48750]	Loss: 0.3986	LR: 0.020000
Training Epoch: 10 [11776/48750]	Loss: 0.4547	LR: 0.020000
Training Epoch: 10 [12032/48750]	Loss: 0.4185	LR: 0.020000
Training Epoch: 10 [12288/48750]	Loss: 0.4561	LR: 0.020000
Training Epoch: 10 [12544/48750]	Loss: 0.3321	LR: 0.020000
Training Epoch: 10 [12800/48750]	Loss: 0.3889	LR: 0.020000
Training Epoch: 10 [13056/48750]	Loss: 0.4246	LR: 0.020000
Training Epoch: 10 [13312/48750]	Loss: 0.3697	LR: 0.020000
Training Epoch: 10 [13568/48750]	Loss: 0.3521	LR: 0.020000
Training Epoch: 10 [13824/48750]	Loss: 0.4541	LR: 0.020000
Training Epoch: 10 [14080/48750]	Loss: 0.5210	LR: 0.020000
Training Epoch: 10 [14336/48750]	Loss: 0.5115	LR: 0.020000
Training Epoch: 10 [14592/48750]	Loss: 0.4575	LR: 0.020000
Training Epoch: 10 [14848/48750]	Loss: 0.4006	LR: 0.020000
Training Epoch: 10 [15104/48750]	Loss: 0.4856	LR: 0.020000
Training Epoch: 10 [15360/48750]	Loss: 0.3721	LR: 0.020000
Training Epoch: 10 [15616/48750]	Loss: 0.4494	LR: 0.020000
Training Epoch: 10 [15872/48750]	Loss: 0.3606	LR: 0.020000
Training Epoch: 10 [16128/48750]	Loss: 0.4500	LR: 0.020000
Training Epoch: 10 [16384/48750]	Loss: 0.3750	LR: 0.020000
Training Epoch: 10 [16640/48750]	Loss: 0.4422	LR: 0.020000
Training Epoch: 10 [16896/48750]	Loss: 0.3490	LR: 0.020000
Training Epoch: 10 [17152/48750]	Loss: 0.4480	LR: 0.020000
Training Epoch: 10 [17408/48750]	Loss: 0.4303	LR: 0.020000
Training Epoch: 10 [17664/48750]	Loss: 0.4645	LR: 0.020000
Training Epoch: 10 [17920/48750]	Loss: 0.4121	LR: 0.020000
Training Epoch: 10 [18176/48750]	Loss: 0.3913	LR: 0.020000
Training Epoch: 10 [18432/48750]	Loss: 0.3929	LR: 0.020000
Training Epoch: 10 [18688/48750]	Loss: 0.3795	LR: 0.020000
Training Epoch: 10 [18944/48750]	Loss: 0.3775	LR: 0.020000
Training Epoch: 10 [19200/48750]	Loss: 0.4391	LR: 0.020000
Training Epoch: 10 [19456/48750]	Loss: 0.4598	LR: 0.020000
Training Epoch: 10 [19712/48750]	Loss: 0.3967	LR: 0.020000
Training Epoch: 10 [19968/48750]	Loss: 0.4562	LR: 0.020000
Training Epoch: 10 [20224/48750]	Loss: 0.3811	LR: 0.020000
Training Epoch: 10 [20480/48750]	Loss: 0.3409	LR: 0.020000
Training Epoch: 10 [20736/48750]	Loss: 0.3583	LR: 0.020000
Training Epoch: 10 [20992/48750]	Loss: 0.4013	LR: 0.020000
Training Epoch: 10 [21248/48750]	Loss: 0.4128	LR: 0.020000
Training Epoch: 10 [21504/48750]	Loss: 0.3681	LR: 0.020000
Training Epoch: 10 [21760/48750]	Loss: 0.4383	LR: 0.020000
Training Epoch: 10 [22016/48750]	Loss: 0.4450	LR: 0.020000
Training Epoch: 10 [22272/48750]	Loss: 0.4447	LR: 0.020000
Training Epoch: 10 [22528/48750]	Loss: 0.5325	LR: 0.020000
Training Epoch: 10 [22784/48750]	Loss: 0.4144	LR: 0.020000
Training Epoch: 10 [23040/48750]	Loss: 0.3820	LR: 0.020000
Training Epoch: 10 [23296/48750]	Loss: 0.4201	LR: 0.020000
Training Epoch: 10 [23552/48750]	Loss: 0.4182	LR: 0.020000
Training Epoch: 10 [23808/48750]	Loss: 0.3405	LR: 0.020000
Training Epoch: 10 [24064/48750]	Loss: 0.5611	LR: 0.020000
Training Epoch: 10 [24320/48750]	Loss: 0.4158	LR: 0.020000
Training Epoch: 10 [24576/48750]	Loss: 0.4201	LR: 0.020000
Training Epoch: 10 [24832/48750]	Loss: 0.4219	LR: 0.020000
Training Epoch: 10 [25088/48750]	Loss: 0.3844	LR: 0.020000
Training Epoch: 10 [25344/48750]	Loss: 0.4045	LR: 0.020000
Training Epoch: 10 [25600/48750]	Loss: 0.4175	LR: 0.020000
Training Epoch: 10 [25856/48750]	Loss: 0.4043	LR: 0.020000
Training Epoch: 10 [26112/48750]	Loss: 0.3182	LR: 0.020000
Training Epoch: 10 [26368/48750]	Loss: 0.4772	LR: 0.020000
Training Epoch: 10 [26624/48750]	Loss: 0.4114	LR: 0.020000
Training Epoch: 10 [26880/48750]	Loss: 0.2994	LR: 0.020000
Training Epoch: 10 [27136/48750]	Loss: 0.4126	LR: 0.020000
Training Epoch: 10 [27392/48750]	Loss: 0.4618	LR: 0.020000
Training Epoch: 10 [27648/48750]	Loss: 0.4747	LR: 0.020000
Training Epoch: 10 [27904/48750]	Loss: 0.4698	LR: 0.020000
Training Epoch: 10 [28160/48750]	Loss: 0.4428	LR: 0.020000
Training Epoch: 10 [28416/48750]	Loss: 0.4693	LR: 0.020000
Training Epoch: 10 [28672/48750]	Loss: 0.4794	LR: 0.020000
Training Epoch: 10 [28928/48750]	Loss: 0.4811	LR: 0.020000
Training Epoch: 10 [29184/48750]	Loss: 0.3631	LR: 0.020000
Training Epoch: 10 [29440/48750]	Loss: 0.4275	LR: 0.020000
Training Epoch: 10 [29696/48750]	Loss: 0.3717	LR: 0.020000
Training Epoch: 10 [29952/48750]	Loss: 0.4477	LR: 0.020000
Training Epoch: 10 [30208/48750]	Loss: 0.3613	LR: 0.020000
Training Epoch: 10 [30464/48750]	Loss: 0.4206	LR: 0.020000
Training Epoch: 10 [30720/48750]	Loss: 0.3928	LR: 0.020000
Training Epoch: 10 [30976/48750]	Loss: 0.4704	LR: 0.020000
Training Epoch: 10 [31232/48750]	Loss: 0.3596	LR: 0.020000
Training Epoch: 10 [31488/48750]	Loss: 0.4025	LR: 0.020000
Training Epoch: 10 [31744/48750]	Loss: 0.5039	LR: 0.020000
Training Epoch: 10 [32000/48750]	Loss: 0.3391	LR: 0.020000
Training Epoch: 10 [32256/48750]	Loss: 0.4603	LR: 0.020000
Training Epoch: 10 [32512/48750]	Loss: 0.4346	LR: 0.020000
Training Epoch: 10 [32768/48750]	Loss: 0.4973	LR: 0.020000
Training Epoch: 10 [33024/48750]	Loss: 0.4439	LR: 0.020000
Training Epoch: 10 [33280/48750]	Loss: 0.3267	LR: 0.020000
Training Epoch: 10 [33536/48750]	Loss: 0.3196	LR: 0.020000
Training Epoch: 10 [33792/48750]	Loss: 0.4120	LR: 0.020000
Training Epoch: 10 [34048/48750]	Loss: 0.4480	LR: 0.020000
Training Epoch: 10 [34304/48750]	Loss: 0.4297	LR: 0.020000
Training Epoch: 10 [34560/48750]	Loss: 0.3259	LR: 0.020000
Training Epoch: 10 [34816/48750]	Loss: 0.4706	LR: 0.020000
Training Epoch: 10 [35072/48750]	Loss: 0.4372	LR: 0.020000
Training Epoch: 10 [35328/48750]	Loss: 0.4476	LR: 0.020000
Training Epoch: 10 [35584/48750]	Loss: 0.4521	LR: 0.020000
Training Epoch: 10 [35840/48750]	Loss: 0.4717	LR: 0.020000
Training Epoch: 10 [36096/48750]	Loss: 0.4007	LR: 0.020000
Training Epoch: 10 [36352/48750]	Loss: 0.4195	LR: 0.020000
Training Epoch: 10 [36608/48750]	Loss: 0.4273	LR: 0.020000
Training Epoch: 10 [36864/48750]	Loss: 0.3506	LR: 0.020000
Training Epoch: 10 [37120/48750]	Loss: 0.3817	LR: 0.020000
Training Epoch: 10 [37376/48750]	Loss: 0.3473	LR: 0.020000
Training Epoch: 10 [37632/48750]	Loss: 0.3965	LR: 0.020000
Training Epoch: 10 [37888/48750]	Loss: 0.4505	LR: 0.020000
Training Epoch: 10 [38144/48750]	Loss: 0.3349	LR: 0.020000
Training Epoch: 10 [38400/48750]	Loss: 0.4659	LR: 0.020000
Training Epoch: 10 [38656/48750]	Loss: 0.4412	LR: 0.020000
Training Epoch: 10 [38912/48750]	Loss: 0.3634	LR: 0.020000
Training Epoch: 10 [39168/48750]	Loss: 0.3828	LR: 0.020000
Training Epoch: 10 [39424/48750]	Loss: 0.4080	LR: 0.020000
Training Epoch: 10 [39680/48750]	Loss: 0.4120	LR: 0.020000
Training Epoch: 10 [39936/48750]	Loss: 0.5063	LR: 0.020000
Training Epoch: 10 [40192/48750]	Loss: 0.3308	LR: 0.020000
Training Epoch: 10 [40448/48750]	Loss: 0.3937	LR: 0.020000
Training Epoch: 10 [40704/48750]	Loss: 0.4223	LR: 0.020000
Training Epoch: 10 [40960/48750]	Loss: 0.4149	LR: 0.020000
Training Epoch: 10 [41216/48750]	Loss: 0.4014	LR: 0.020000
Training Epoch: 10 [41472/48750]	Loss: 0.4307	LR: 0.020000
Training Epoch: 10 [41728/48750]	Loss: 0.3788	LR: 0.020000
Training Epoch: 10 [41984/48750]	Loss: 0.3815	LR: 0.020000
Training Epoch: 10 [42240/48750]	Loss: 0.4547	LR: 0.020000
Training Epoch: 10 [42496/48750]	Loss: 0.3487	LR: 0.020000
Training Epoch: 10 [42752/48750]	Loss: 0.4292	LR: 0.020000
Training Epoch: 10 [43008/48750]	Loss: 0.3511	LR: 0.020000
Training Epoch: 10 [43264/48750]	Loss: 0.5244	LR: 0.020000
Training Epoch: 10 [43520/48750]	Loss: 0.4608	LR: 0.020000
Training Epoch: 10 [43776/48750]	Loss: 0.4586	LR: 0.020000
Training Epoch: 10 [44032/48750]	Loss: 0.3669	LR: 0.020000
Training Epoch: 10 [44288/48750]	Loss: 0.3368	LR: 0.020000
Training Epoch: 10 [44544/48750]	Loss: 0.4232	LR: 0.020000
Training Epoch: 10 [44800/48750]	Loss: 0.4397	LR: 0.020000
Training Epoch: 10 [45056/48750]	Loss: 0.4766	LR: 0.020000
Training Epoch: 10 [45312/48750]	Loss: 0.4377	LR: 0.020000
Training Epoch: 10 [45568/48750]	Loss: 0.3625	LR: 0.020000
Training Epoch: 10 [45824/48750]	Loss: 0.3618	LR: 0.020000
Training Epoch: 10 [46080/48750]	Loss: 0.4239	LR: 0.020000
Training Epoch: 10 [46336/48750]	Loss: 0.3741	LR: 0.020000
Training Epoch: 10 [46592/48750]	Loss: 0.4440	LR: 0.020000
Training Epoch: 10 [46848/48750]	Loss: 0.4870	LR: 0.020000
Training Epoch: 10 [47104/48750]	Loss: 0.4232	LR: 0.020000
Training Epoch: 10 [47360/48750]	Loss: 0.5250	LR: 0.020000
Training Epoch: 10 [47616/48750]	Loss: 0.4168	LR: 0.020000
Training Epoch: 10 [47872/48750]	Loss: 0.4198	LR: 0.020000
Training Epoch: 10 [48128/48750]	Loss: 0.4619	LR: 0.020000
Training Epoch: 10 [48384/48750]	Loss: 0.5082	LR: 0.020000
Training Epoch: 10 [48640/48750]	Loss: 0.5002	LR: 0.020000
Training Epoch: 10 [48750/48750]	Loss: 0.4684	LR: 0.020000
Epoch 10 - Average Train Loss: 0.4172, Train Accuracy: 0.8551
Epoch 10 training time consumed: 27.21s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0020, Accuracy: 0.8391, Time consumed:0.90s
Training Epoch: 11 [256/48750]	Loss: 0.4507	LR: 0.020000
Training Epoch: 11 [512/48750]	Loss: 0.3693	LR: 0.020000
Training Epoch: 11 [768/48750]	Loss: 0.3593	LR: 0.020000
Training Epoch: 11 [1024/48750]	Loss: 0.3057	LR: 0.020000
Training Epoch: 11 [1280/48750]	Loss: 0.3993	LR: 0.020000
Training Epoch: 11 [1536/48750]	Loss: 0.4711	LR: 0.020000
Training Epoch: 11 [1792/48750]	Loss: 0.3724	LR: 0.020000
Training Epoch: 11 [2048/48750]	Loss: 0.4992	LR: 0.020000
Training Epoch: 11 [2304/48750]	Loss: 0.4425	LR: 0.020000
Training Epoch: 11 [2560/48750]	Loss: 0.4222	LR: 0.020000
Training Epoch: 11 [2816/48750]	Loss: 0.4616	LR: 0.020000
Training Epoch: 11 [3072/48750]	Loss: 0.4782	LR: 0.020000
Training Epoch: 11 [3328/48750]	Loss: 0.3746	LR: 0.020000
Training Epoch: 11 [3584/48750]	Loss: 0.4260	LR: 0.020000
Training Epoch: 11 [3840/48750]	Loss: 0.4439	LR: 0.020000
Training Epoch: 11 [4096/48750]	Loss: 0.4300	LR: 0.020000
Training Epoch: 11 [4352/48750]	Loss: 0.3997	LR: 0.020000
Training Epoch: 11 [4608/48750]	Loss: 0.4377	LR: 0.020000
Training Epoch: 11 [4864/48750]	Loss: 0.3430	LR: 0.020000
Training Epoch: 11 [5120/48750]	Loss: 0.5163	LR: 0.020000
Training Epoch: 11 [5376/48750]	Loss: 0.3389	LR: 0.020000
Training Epoch: 11 [5632/48750]	Loss: 0.3482	LR: 0.020000
Training Epoch: 11 [5888/48750]	Loss: 0.4994	LR: 0.020000
Training Epoch: 11 [6144/48750]	Loss: 0.5066	LR: 0.020000
Training Epoch: 11 [6400/48750]	Loss: 0.3976	LR: 0.020000
Training Epoch: 11 [6656/48750]	Loss: 0.4276	LR: 0.020000
Training Epoch: 11 [6912/48750]	Loss: 0.4561	LR: 0.020000
Training Epoch: 11 [7168/48750]	Loss: 0.3667	LR: 0.020000
Training Epoch: 11 [7424/48750]	Loss: 0.3643	LR: 0.020000
Training Epoch: 11 [7680/48750]	Loss: 0.4298	LR: 0.020000
Training Epoch: 11 [7936/48750]	Loss: 0.3629	LR: 0.020000
Training Epoch: 11 [8192/48750]	Loss: 0.3442	LR: 0.020000
Training Epoch: 11 [8448/48750]	Loss: 0.3497	LR: 0.020000
Training Epoch: 11 [8704/48750]	Loss: 0.3845	LR: 0.020000
Training Epoch: 11 [8960/48750]	Loss: 0.3786	LR: 0.020000
Training Epoch: 11 [9216/48750]	Loss: 0.3294	LR: 0.020000
Training Epoch: 11 [9472/48750]	Loss: 0.4104	LR: 0.020000
Training Epoch: 11 [9728/48750]	Loss: 0.4608	LR: 0.020000
Training Epoch: 11 [9984/48750]	Loss: 0.4508	LR: 0.020000
Training Epoch: 11 [10240/48750]	Loss: 0.4044	LR: 0.020000
Training Epoch: 11 [10496/48750]	Loss: 0.4446	LR: 0.020000
Training Epoch: 11 [10752/48750]	Loss: 0.4302	LR: 0.020000
Training Epoch: 11 [11008/48750]	Loss: 0.4082	LR: 0.020000
Training Epoch: 11 [11264/48750]	Loss: 0.4836	LR: 0.020000
Training Epoch: 11 [11520/48750]	Loss: 0.3946	LR: 0.020000
Training Epoch: 11 [11776/48750]	Loss: 0.3539	LR: 0.020000
Training Epoch: 11 [12032/48750]	Loss: 0.4462	LR: 0.020000
Training Epoch: 11 [12288/48750]	Loss: 0.3403	LR: 0.020000
Training Epoch: 11 [12544/48750]	Loss: 0.3303	LR: 0.020000
Training Epoch: 11 [12800/48750]	Loss: 0.3895	LR: 0.020000
Training Epoch: 11 [13056/48750]	Loss: 0.3764	LR: 0.020000
Training Epoch: 11 [13312/48750]	Loss: 0.4088	LR: 0.020000
Training Epoch: 11 [13568/48750]	Loss: 0.4437	LR: 0.020000
Training Epoch: 11 [13824/48750]	Loss: 0.4302	LR: 0.020000
Training Epoch: 11 [14080/48750]	Loss: 0.3878	LR: 0.020000
Training Epoch: 11 [14336/48750]	Loss: 0.3328	LR: 0.020000
Training Epoch: 11 [14592/48750]	Loss: 0.3943	LR: 0.020000
Training Epoch: 11 [14848/48750]	Loss: 0.4176	LR: 0.020000
Training Epoch: 11 [15104/48750]	Loss: 0.4623	LR: 0.020000
Training Epoch: 11 [15360/48750]	Loss: 0.3396	LR: 0.020000
Training Epoch: 11 [15616/48750]	Loss: 0.3317	LR: 0.020000
Training Epoch: 11 [15872/48750]	Loss: 0.4023	LR: 0.020000
Training Epoch: 11 [16128/48750]	Loss: 0.4286	LR: 0.020000
Training Epoch: 11 [16384/48750]	Loss: 0.3428	LR: 0.020000
Training Epoch: 11 [16640/48750]	Loss: 0.4446	LR: 0.020000
Training Epoch: 11 [16896/48750]	Loss: 0.3585	LR: 0.020000
Training Epoch: 11 [17152/48750]	Loss: 0.3483	LR: 0.020000
Training Epoch: 11 [17408/48750]	Loss: 0.3426	LR: 0.020000
Training Epoch: 11 [17664/48750]	Loss: 0.3509	LR: 0.020000
Training Epoch: 11 [17920/48750]	Loss: 0.3738	LR: 0.020000
Training Epoch: 11 [18176/48750]	Loss: 0.3648	LR: 0.020000
Training Epoch: 11 [18432/48750]	Loss: 0.3736	LR: 0.020000
Training Epoch: 11 [18688/48750]	Loss: 0.3379	LR: 0.020000
Training Epoch: 11 [18944/48750]	Loss: 0.4341	LR: 0.020000
Training Epoch: 11 [19200/48750]	Loss: 0.3583	LR: 0.020000
Training Epoch: 11 [19456/48750]	Loss: 0.4123	LR: 0.020000
Training Epoch: 11 [19712/48750]	Loss: 0.4323	LR: 0.020000
Training Epoch: 11 [19968/48750]	Loss: 0.4437	LR: 0.020000
Training Epoch: 11 [20224/48750]	Loss: 0.4171	LR: 0.020000
Training Epoch: 11 [20480/48750]	Loss: 0.4380	LR: 0.020000
Training Epoch: 11 [20736/48750]	Loss: 0.4493	LR: 0.020000
Training Epoch: 11 [20992/48750]	Loss: 0.4231	LR: 0.020000
Training Epoch: 11 [21248/48750]	Loss: 0.3854	LR: 0.020000
Training Epoch: 11 [21504/48750]	Loss: 0.4422	LR: 0.020000
Training Epoch: 11 [21760/48750]	Loss: 0.4661	LR: 0.020000
Training Epoch: 11 [22016/48750]	Loss: 0.3932	LR: 0.020000
Training Epoch: 11 [22272/48750]	Loss: 0.4299	LR: 0.020000
Training Epoch: 11 [22528/48750]	Loss: 0.3278	LR: 0.020000
Training Epoch: 11 [22784/48750]	Loss: 0.3348	LR: 0.020000
Training Epoch: 11 [23040/48750]	Loss: 0.3628	LR: 0.020000
Training Epoch: 11 [23296/48750]	Loss: 0.4680	LR: 0.020000
Training Epoch: 11 [23552/48750]	Loss: 0.4339	LR: 0.020000
Training Epoch: 11 [23808/48750]	Loss: 0.4553	LR: 0.020000
Training Epoch: 11 [24064/48750]	Loss: 0.3986	LR: 0.020000
Training Epoch: 11 [24320/48750]	Loss: 0.3304	LR: 0.020000
Training Epoch: 11 [24576/48750]	Loss: 0.4123	LR: 0.020000
Training Epoch: 11 [24832/48750]	Loss: 0.3989	LR: 0.020000
Training Epoch: 11 [25088/48750]	Loss: 0.4557	LR: 0.020000
Training Epoch: 11 [25344/48750]	Loss: 0.4121	LR: 0.020000
Training Epoch: 11 [25600/48750]	Loss: 0.3203	LR: 0.020000
Training Epoch: 11 [25856/48750]	Loss: 0.4606	LR: 0.020000
Training Epoch: 11 [26112/48750]	Loss: 0.3447	LR: 0.020000
Training Epoch: 11 [26368/48750]	Loss: 0.3032	LR: 0.020000
Training Epoch: 11 [26624/48750]	Loss: 0.5290	LR: 0.020000
Training Epoch: 11 [26880/48750]	Loss: 0.3322	LR: 0.020000
Training Epoch: 11 [27136/48750]	Loss: 0.4893	LR: 0.020000
Training Epoch: 11 [27392/48750]	Loss: 0.3718	LR: 0.020000
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Training Epoch: 11 [31488/48750]	Loss: 0.3868	LR: 0.020000
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Training Epoch: 11 [32256/48750]	Loss: 0.4121	LR: 0.020000
Training Epoch: 11 [32512/48750]	Loss: 0.3935	LR: 0.020000
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Training Epoch: 11 [44544/48750]	Loss: 0.3889	LR: 0.020000
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Training Epoch: 11 [45056/48750]	Loss: 0.4160	LR: 0.020000
Training Epoch: 11 [45312/48750]	Loss: 0.4683	LR: 0.020000
Training Epoch: 11 [45568/48750]	Loss: 0.4075	LR: 0.020000
Training Epoch: 11 [45824/48750]	Loss: 0.3797	LR: 0.020000
Training Epoch: 11 [46080/48750]	Loss: 0.3328	LR: 0.020000
Training Epoch: 11 [46336/48750]	Loss: 0.3429	LR: 0.020000
Training Epoch: 11 [46592/48750]	Loss: 0.4090	LR: 0.020000
Training Epoch: 11 [46848/48750]	Loss: 0.3575	LR: 0.020000
Training Epoch: 11 [47104/48750]	Loss: 0.4741	LR: 0.020000
Training Epoch: 11 [47360/48750]	Loss: 0.3243	LR: 0.020000
Training Epoch: 11 [47616/48750]	Loss: 0.4037	LR: 0.020000
Training Epoch: 11 [47872/48750]	Loss: 0.3844	LR: 0.020000
Training Epoch: 11 [48128/48750]	Loss: 0.4306	LR: 0.020000
Training Epoch: 11 [48384/48750]	Loss: 0.3873	LR: 0.020000
Training Epoch: 11 [48640/48750]	Loss: 0.4439	LR: 0.020000
Training Epoch: 11 [48750/48750]	Loss: 0.5263	LR: 0.020000
Epoch 11 - Average Train Loss: 0.3991, Train Accuracy: 0.8623
Epoch 11 training time consumed: 27.00s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0018, Accuracy: 0.8509, Time consumed:0.92s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_08h_53m_12s/AllCNN-Cifar10-seed2-ret75-11-best.pth
Training Epoch: 12 [256/48750]	Loss: 0.3981	LR: 0.004000
Training Epoch: 12 [512/48750]	Loss: 0.3460	LR: 0.004000
Training Epoch: 12 [768/48750]	Loss: 0.3828	LR: 0.004000
Training Epoch: 12 [1024/48750]	Loss: 0.4168	LR: 0.004000
Training Epoch: 12 [1280/48750]	Loss: 0.3097	LR: 0.004000
Training Epoch: 12 [1536/48750]	Loss: 0.3208	LR: 0.004000
Training Epoch: 12 [1792/48750]	Loss: 0.4453	LR: 0.004000
Training Epoch: 12 [2048/48750]	Loss: 0.4310	LR: 0.004000
Training Epoch: 12 [2304/48750]	Loss: 0.3534	LR: 0.004000
Training Epoch: 12 [2560/48750]	Loss: 0.3916	LR: 0.004000
Training Epoch: 12 [2816/48750]	Loss: 0.3780	LR: 0.004000
Training Epoch: 12 [3072/48750]	Loss: 0.2968	LR: 0.004000
Training Epoch: 12 [3328/48750]	Loss: 0.3898	LR: 0.004000
Training Epoch: 12 [3584/48750]	Loss: 0.2881	LR: 0.004000
Training Epoch: 12 [3840/48750]	Loss: 0.3987	LR: 0.004000
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Training Epoch: 12 [4608/48750]	Loss: 0.3224	LR: 0.004000
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Training Epoch: 12 [37888/48750]	Loss: 0.3301	LR: 0.004000
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Training Epoch: 12 [45056/48750]	Loss: 0.2775	LR: 0.004000
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Training Epoch: 12 [46080/48750]	Loss: 0.2948	LR: 0.004000
Training Epoch: 12 [46336/48750]	Loss: 0.2873	LR: 0.004000
Training Epoch: 12 [46592/48750]	Loss: 0.3505	LR: 0.004000
Training Epoch: 12 [46848/48750]	Loss: 0.3210	LR: 0.004000
Training Epoch: 12 [47104/48750]	Loss: 0.3109	LR: 0.004000
Training Epoch: 12 [47360/48750]	Loss: 0.3955	LR: 0.004000
Training Epoch: 12 [47616/48750]	Loss: 0.2989	LR: 0.004000
Training Epoch: 12 [47872/48750]	Loss: 0.3456	LR: 0.004000
Training Epoch: 12 [48128/48750]	Loss: 0.3476	LR: 0.004000
Training Epoch: 12 [48384/48750]	Loss: 0.3689	LR: 0.004000
Training Epoch: 12 [48640/48750]	Loss: 0.3612	LR: 0.004000
Training Epoch: 12 [48750/48750]	Loss: 0.2719	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3522, Train Accuracy: 0.8795
Epoch 12 training time consumed: 27.09s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0015, Accuracy: 0.8682, Time consumed:0.86s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_08h_53m_12s/AllCNN-Cifar10-seed2-ret75-12-best.pth
Training Epoch: 13 [256/48750]	Loss: 0.3554	LR: 0.004000
Training Epoch: 13 [512/48750]	Loss: 0.3657	LR: 0.004000
Training Epoch: 13 [768/48750]	Loss: 0.2953	LR: 0.004000
Training Epoch: 13 [1024/48750]	Loss: 0.3678	LR: 0.004000
Training Epoch: 13 [1280/48750]	Loss: 0.3585	LR: 0.004000
Training Epoch: 13 [1536/48750]	Loss: 0.3304	LR: 0.004000
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Training Epoch: 13 [47872/48750]	Loss: 0.3311	LR: 0.004000
Training Epoch: 13 [48128/48750]	Loss: 0.3063	LR: 0.004000
Training Epoch: 13 [48384/48750]	Loss: 0.3687	LR: 0.004000
Training Epoch: 13 [48640/48750]	Loss: 0.3777	LR: 0.004000
Training Epoch: 13 [48750/48750]	Loss: 0.3318	LR: 0.004000
Epoch 13 - Average Train Loss: 0.3400, Train Accuracy: 0.8845
Epoch 13 training time consumed: 27.09s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0015, Accuracy: 0.8698, Time consumed:0.93s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_08h_53m_12s/AllCNN-Cifar10-seed2-ret75-13-best.pth
Training Epoch: 14 [256/48750]	Loss: 0.3085	LR: 0.004000
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Training Epoch: 14 [25600/48750]	Loss: 0.2446	LR: 0.004000
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Training Epoch: 14 [44032/48750]	Loss: 0.3030	LR: 0.004000
Training Epoch: 14 [44288/48750]	Loss: 0.3612	LR: 0.004000
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Training Epoch: 14 [44800/48750]	Loss: 0.3189	LR: 0.004000
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Training Epoch: 14 [45312/48750]	Loss: 0.3237	LR: 0.004000
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Training Epoch: 14 [46080/48750]	Loss: 0.3272	LR: 0.004000
Training Epoch: 14 [46336/48750]	Loss: 0.3800	LR: 0.004000
Training Epoch: 14 [46592/48750]	Loss: 0.3397	LR: 0.004000
Training Epoch: 14 [46848/48750]	Loss: 0.2990	LR: 0.004000
Training Epoch: 14 [47104/48750]	Loss: 0.3242	LR: 0.004000
Training Epoch: 14 [47360/48750]	Loss: 0.3135	LR: 0.004000
Training Epoch: 14 [47616/48750]	Loss: 0.3573	LR: 0.004000
Training Epoch: 14 [47872/48750]	Loss: 0.3639	LR: 0.004000
Training Epoch: 14 [48128/48750]	Loss: 0.3665	LR: 0.004000
Training Epoch: 14 [48384/48750]	Loss: 0.3202	LR: 0.004000
Training Epoch: 14 [48640/48750]	Loss: 0.3088	LR: 0.004000
Training Epoch: 14 [48750/48750]	Loss: 0.3422	LR: 0.004000
Epoch 14 - Average Train Loss: 0.3319, Train Accuracy: 0.8852
Epoch 14 training time consumed: 27.06s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0015, Accuracy: 0.8700, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_08h_53m_12s/AllCNN-Cifar10-seed2-ret75-14-best.pth
Training Epoch: 15 [256/48750]	Loss: 0.2930	LR: 0.004000
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Training Epoch: 15 [47104/48750]	Loss: 0.2757	LR: 0.004000
Training Epoch: 15 [47360/48750]	Loss: 0.2381	LR: 0.004000
Training Epoch: 15 [47616/48750]	Loss: 0.3386	LR: 0.004000
Training Epoch: 15 [47872/48750]	Loss: 0.3620	LR: 0.004000
Training Epoch: 15 [48128/48750]	Loss: 0.3855	LR: 0.004000
Training Epoch: 15 [48384/48750]	Loss: 0.2747	LR: 0.004000
Training Epoch: 15 [48640/48750]	Loss: 0.3358	LR: 0.004000
Training Epoch: 15 [48750/48750]	Loss: 0.3569	LR: 0.004000
Epoch 15 - Average Train Loss: 0.3254, Train Accuracy: 0.8897
Epoch 15 training time consumed: 27.11s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0015, Accuracy: 0.8709, Time consumed:0.87s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_08h_53m_12s/AllCNN-Cifar10-seed2-ret75-15-best.pth
Training Epoch: 16 [256/48750]	Loss: 0.2695	LR: 0.000800
Training Epoch: 16 [512/48750]	Loss: 0.2891	LR: 0.000800
Training Epoch: 16 [768/48750]	Loss: 0.2943	LR: 0.000800
Training Epoch: 16 [1024/48750]	Loss: 0.3192	LR: 0.000800
Training Epoch: 16 [1280/48750]	Loss: 0.2689	LR: 0.000800
Training Epoch: 16 [1536/48750]	Loss: 0.2670	LR: 0.000800
Training Epoch: 16 [1792/48750]	Loss: 0.3389	LR: 0.000800
Training Epoch: 16 [2048/48750]	Loss: 0.3135	LR: 0.000800
Training Epoch: 16 [2304/48750]	Loss: 0.3914	LR: 0.000800
Training Epoch: 16 [2560/48750]	Loss: 0.3145	LR: 0.000800
Training Epoch: 16 [2816/48750]	Loss: 0.3405	LR: 0.000800
Training Epoch: 16 [3072/48750]	Loss: 0.3220	LR: 0.000800
Training Epoch: 16 [3328/48750]	Loss: 0.3299	LR: 0.000800
Training Epoch: 16 [3584/48750]	Loss: 0.3123	LR: 0.000800
Training Epoch: 16 [3840/48750]	Loss: 0.3231	LR: 0.000800
Training Epoch: 16 [4096/48750]	Loss: 0.2631	LR: 0.000800
Training Epoch: 16 [4352/48750]	Loss: 0.3461	LR: 0.000800
Training Epoch: 16 [4608/48750]	Loss: 0.2524	LR: 0.000800
Training Epoch: 16 [4864/48750]	Loss: 0.2699	LR: 0.000800
Training Epoch: 16 [5120/48750]	Loss: 0.3472	LR: 0.000800
Training Epoch: 16 [5376/48750]	Loss: 0.3202	LR: 0.000800
Training Epoch: 16 [5632/48750]	Loss: 0.2932	LR: 0.000800
Training Epoch: 16 [5888/48750]	Loss: 0.2485	LR: 0.000800
Training Epoch: 16 [6144/48750]	Loss: 0.3064	LR: 0.000800
Training Epoch: 16 [6400/48750]	Loss: 0.2399	LR: 0.000800
Training Epoch: 16 [6656/48750]	Loss: 0.2956	LR: 0.000800
Training Epoch: 16 [6912/48750]	Loss: 0.3132	LR: 0.000800
Training Epoch: 16 [7168/48750]	Loss: 0.3153	LR: 0.000800
Training Epoch: 16 [7424/48750]	Loss: 0.2654	LR: 0.000800
Training Epoch: 16 [7680/48750]	Loss: 0.3330	LR: 0.000800
Training Epoch: 16 [7936/48750]	Loss: 0.2974	LR: 0.000800
Training Epoch: 16 [8192/48750]	Loss: 0.3183	LR: 0.000800
Training Epoch: 16 [8448/48750]	Loss: 0.3228	LR: 0.000800
Training Epoch: 16 [8704/48750]	Loss: 0.2300	LR: 0.000800
Training Epoch: 16 [8960/48750]	Loss: 0.2949	LR: 0.000800
Training Epoch: 16 [9216/48750]	Loss: 0.2742	LR: 0.000800
Training Epoch: 16 [9472/48750]	Loss: 0.2947	LR: 0.000800
Training Epoch: 16 [9728/48750]	Loss: 0.3477	LR: 0.000800
Training Epoch: 16 [9984/48750]	Loss: 0.3157	LR: 0.000800
Training Epoch: 16 [10240/48750]	Loss: 0.3753	LR: 0.000800
Training Epoch: 16 [10496/48750]	Loss: 0.3016	LR: 0.000800
Training Epoch: 16 [10752/48750]	Loss: 0.2538	LR: 0.000800
Training Epoch: 16 [11008/48750]	Loss: 0.3208	LR: 0.000800
Training Epoch: 16 [11264/48750]	Loss: 0.3099	LR: 0.000800
Training Epoch: 16 [11520/48750]	Loss: 0.3508	LR: 0.000800
Training Epoch: 16 [11776/48750]	Loss: 0.3320	LR: 0.000800
Training Epoch: 16 [12032/48750]	Loss: 0.3458	LR: 0.000800
Training Epoch: 16 [12288/48750]	Loss: 0.3351	LR: 0.000800
Training Epoch: 16 [12544/48750]	Loss: 0.2975	LR: 0.000800
Training Epoch: 16 [12800/48750]	Loss: 0.3190	LR: 0.000800
Training Epoch: 16 [13056/48750]	Loss: 0.2963	LR: 0.000800
Training Epoch: 16 [13312/48750]	Loss: 0.3913	LR: 0.000800
Training Epoch: 16 [13568/48750]	Loss: 0.2722	LR: 0.000800
Training Epoch: 16 [13824/48750]	Loss: 0.3183	LR: 0.000800
Training Epoch: 16 [14080/48750]	Loss: 0.3082	LR: 0.000800
Training Epoch: 16 [14336/48750]	Loss: 0.4102	LR: 0.000800
Training Epoch: 16 [14592/48750]	Loss: 0.3292	LR: 0.000800
Training Epoch: 16 [14848/48750]	Loss: 0.2282	LR: 0.000800
Training Epoch: 16 [15104/48750]	Loss: 0.3440	LR: 0.000800
Training Epoch: 16 [15360/48750]	Loss: 0.2550	LR: 0.000800
Training Epoch: 16 [15616/48750]	Loss: 0.4153	LR: 0.000800
Training Epoch: 16 [15872/48750]	Loss: 0.3616	LR: 0.000800
Training Epoch: 16 [16128/48750]	Loss: 0.2595	LR: 0.000800
Training Epoch: 16 [16384/48750]	Loss: 0.3056	LR: 0.000800
Training Epoch: 16 [16640/48750]	Loss: 0.3495	LR: 0.000800
Training Epoch: 16 [16896/48750]	Loss: 0.3135	LR: 0.000800
Training Epoch: 16 [17152/48750]	Loss: 0.3494	LR: 0.000800
Training Epoch: 16 [17408/48750]	Loss: 0.2610	LR: 0.000800
Training Epoch: 16 [17664/48750]	Loss: 0.3410	LR: 0.000800
Training Epoch: 16 [17920/48750]	Loss: 0.3347	LR: 0.000800
Training Epoch: 16 [18176/48750]	Loss: 0.3470	LR: 0.000800
Training Epoch: 16 [18432/48750]	Loss: 0.3399	LR: 0.000800
Training Epoch: 16 [18688/48750]	Loss: 0.3325	LR: 0.000800
Training Epoch: 16 [18944/48750]	Loss: 0.3530	LR: 0.000800
Training Epoch: 16 [19200/48750]	Loss: 0.2670	LR: 0.000800
Training Epoch: 16 [19456/48750]	Loss: 0.2716	LR: 0.000800
Training Epoch: 16 [19712/48750]	Loss: 0.3253	LR: 0.000800
Training Epoch: 16 [19968/48750]	Loss: 0.2771	LR: 0.000800
Training Epoch: 16 [20224/48750]	Loss: 0.3014	LR: 0.000800
Training Epoch: 16 [20480/48750]	Loss: 0.3733	LR: 0.000800
Training Epoch: 16 [20736/48750]	Loss: 0.2784	LR: 0.000800
Training Epoch: 16 [20992/48750]	Loss: 0.3090	LR: 0.000800
Training Epoch: 16 [21248/48750]	Loss: 0.3432	LR: 0.000800
Training Epoch: 16 [21504/48750]	Loss: 0.2779	LR: 0.000800
Training Epoch: 16 [21760/48750]	Loss: 0.2630	LR: 0.000800
Training Epoch: 16 [22016/48750]	Loss: 0.2660	LR: 0.000800
Training Epoch: 16 [22272/48750]	Loss: 0.2806	LR: 0.000800
Training Epoch: 16 [22528/48750]	Loss: 0.3829	LR: 0.000800
Training Epoch: 16 [22784/48750]	Loss: 0.2835	LR: 0.000800
Training Epoch: 16 [23040/48750]	Loss: 0.3529	LR: 0.000800
Training Epoch: 16 [23296/48750]	Loss: 0.3177	LR: 0.000800
Training Epoch: 16 [23552/48750]	Loss: 0.3281	LR: 0.000800
Training Epoch: 16 [23808/48750]	Loss: 0.2667	LR: 0.000800
Training Epoch: 16 [24064/48750]	Loss: 0.2751	LR: 0.000800
Training Epoch: 16 [24320/48750]	Loss: 0.2944	LR: 0.000800
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Training Epoch: 16 [25088/48750]	Loss: 0.3084	LR: 0.000800
Training Epoch: 16 [25344/48750]	Loss: 0.2561	LR: 0.000800
Training Epoch: 16 [25600/48750]	Loss: 0.3010	LR: 0.000800
Training Epoch: 16 [25856/48750]	Loss: 0.2853	LR: 0.000800
Training Epoch: 16 [26112/48750]	Loss: 0.3316	LR: 0.000800
Training Epoch: 16 [26368/48750]	Loss: 0.3458	LR: 0.000800
Training Epoch: 16 [26624/48750]	Loss: 0.2610	LR: 0.000800
Training Epoch: 16 [26880/48750]	Loss: 0.3255	LR: 0.000800
Training Epoch: 16 [27136/48750]	Loss: 0.2782	LR: 0.000800
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Training Epoch: 16 [27904/48750]	Loss: 0.2753	LR: 0.000800
Training Epoch: 16 [28160/48750]	Loss: 0.3774	LR: 0.000800
Training Epoch: 16 [28416/48750]	Loss: 0.3571	LR: 0.000800
Training Epoch: 16 [28672/48750]	Loss: 0.4012	LR: 0.000800
Training Epoch: 16 [28928/48750]	Loss: 0.2087	LR: 0.000800
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Training Epoch: 16 [29440/48750]	Loss: 0.3202	LR: 0.000800
Training Epoch: 16 [29696/48750]	Loss: 0.2887	LR: 0.000800
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Training Epoch: 16 [30208/48750]	Loss: 0.3632	LR: 0.000800
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Training Epoch: 16 [30720/48750]	Loss: 0.3396	LR: 0.000800
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Training Epoch: 16 [32256/48750]	Loss: 0.3210	LR: 0.000800
Training Epoch: 16 [32512/48750]	Loss: 0.2707	LR: 0.000800
Training Epoch: 16 [32768/48750]	Loss: 0.3366	LR: 0.000800
Training Epoch: 16 [33024/48750]	Loss: 0.3415	LR: 0.000800
Training Epoch: 16 [33280/48750]	Loss: 0.2629	LR: 0.000800
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Training Epoch: 16 [34560/48750]	Loss: 0.3249	LR: 0.000800
Training Epoch: 16 [34816/48750]	Loss: 0.2695	LR: 0.000800
Training Epoch: 16 [35072/48750]	Loss: 0.2631	LR: 0.000800
Training Epoch: 16 [35328/48750]	Loss: 0.2878	LR: 0.000800
Training Epoch: 16 [35584/48750]	Loss: 0.3614	LR: 0.000800
Training Epoch: 16 [35840/48750]	Loss: 0.3029	LR: 0.000800
Training Epoch: 16 [36096/48750]	Loss: 0.2372	LR: 0.000800
Training Epoch: 16 [36352/48750]	Loss: 0.2488	LR: 0.000800
Training Epoch: 16 [36608/48750]	Loss: 0.3649	LR: 0.000800
Training Epoch: 16 [36864/48750]	Loss: 0.3619	LR: 0.000800
Training Epoch: 16 [37120/48750]	Loss: 0.4166	LR: 0.000800
Training Epoch: 16 [37376/48750]	Loss: 0.2844	LR: 0.000800
Training Epoch: 16 [37632/48750]	Loss: 0.2908	LR: 0.000800
Training Epoch: 16 [37888/48750]	Loss: 0.2937	LR: 0.000800
Training Epoch: 16 [38144/48750]	Loss: 0.3221	LR: 0.000800
Training Epoch: 16 [38400/48750]	Loss: 0.3072	LR: 0.000800
Training Epoch: 16 [38656/48750]	Loss: 0.3392	LR: 0.000800
Training Epoch: 16 [38912/48750]	Loss: 0.2784	LR: 0.000800
Training Epoch: 16 [39168/48750]	Loss: 0.4067	LR: 0.000800
Training Epoch: 16 [39424/48750]	Loss: 0.3338	LR: 0.000800
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Training Epoch: 16 [39936/48750]	Loss: 0.2312	LR: 0.000800
Training Epoch: 16 [40192/48750]	Loss: 0.3580	LR: 0.000800
Training Epoch: 16 [40448/48750]	Loss: 0.2913	LR: 0.000800
Training Epoch: 16 [40704/48750]	Loss: 0.3477	LR: 0.000800
Training Epoch: 16 [40960/48750]	Loss: 0.3012	LR: 0.000800
Training Epoch: 16 [41216/48750]	Loss: 0.3371	LR: 0.000800
Training Epoch: 16 [41472/48750]	Loss: 0.4019	LR: 0.000800
Training Epoch: 16 [41728/48750]	Loss: 0.3592	LR: 0.000800
Training Epoch: 16 [41984/48750]	Loss: 0.3261	LR: 0.000800
Training Epoch: 16 [42240/48750]	Loss: 0.3452	LR: 0.000800
Training Epoch: 16 [42496/48750]	Loss: 0.2126	LR: 0.000800
Training Epoch: 16 [42752/48750]	Loss: 0.3441	LR: 0.000800
Training Epoch: 16 [43008/48750]	Loss: 0.2892	LR: 0.000800
Training Epoch: 16 [43264/48750]	Loss: 0.3224	LR: 0.000800
Training Epoch: 16 [43520/48750]	Loss: 0.3306	LR: 0.000800
Training Epoch: 16 [43776/48750]	Loss: 0.2564	LR: 0.000800
Training Epoch: 16 [44032/48750]	Loss: 0.3045	LR: 0.000800
Training Epoch: 16 [44288/48750]	Loss: 0.3618	LR: 0.000800
Training Epoch: 16 [44544/48750]	Loss: 0.3351	LR: 0.000800
Training Epoch: 16 [44800/48750]	Loss: 0.2402	LR: 0.000800
Training Epoch: 16 [45056/48750]	Loss: 0.3494	LR: 0.000800
Training Epoch: 16 [45312/48750]	Loss: 0.2909	LR: 0.000800
Training Epoch: 16 [45568/48750]	Loss: 0.2697	LR: 0.000800
Training Epoch: 16 [45824/48750]	Loss: 0.2547	LR: 0.000800
Training Epoch: 16 [46080/48750]	Loss: 0.2785	LR: 0.000800
Training Epoch: 16 [46336/48750]	Loss: 0.2392	LR: 0.000800
Training Epoch: 16 [46592/48750]	Loss: 0.3141	LR: 0.000800
Training Epoch: 16 [46848/48750]	Loss: 0.3161	LR: 0.000800
Training Epoch: 16 [47104/48750]	Loss: 0.3713	LR: 0.000800
Training Epoch: 16 [47360/48750]	Loss: 0.3213	LR: 0.000800
Training Epoch: 16 [47616/48750]	Loss: 0.3531	LR: 0.000800
Training Epoch: 16 [47872/48750]	Loss: 0.3401	LR: 0.000800
Training Epoch: 16 [48128/48750]	Loss: 0.3086	LR: 0.000800
Training Epoch: 16 [48384/48750]	Loss: 0.3339	LR: 0.000800
Training Epoch: 16 [48640/48750]	Loss: 0.2996	LR: 0.000800
Training Epoch: 16 [48750/48750]	Loss: 0.2927	LR: 0.000800
Epoch 16 - Average Train Loss: 0.3112, Train Accuracy: 0.8935
Epoch 16 training time consumed: 27.05s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0015, Accuracy: 0.8741, Time consumed:0.89s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_08h_53m_12s/AllCNN-Cifar10-seed2-ret75-16-best.pth
Training Epoch: 17 [256/48750]	Loss: 0.3060	LR: 0.000800
Training Epoch: 17 [512/48750]	Loss: 0.2752	LR: 0.000800
Training Epoch: 17 [768/48750]	Loss: 0.3368	LR: 0.000800
Training Epoch: 17 [1024/48750]	Loss: 0.3031	LR: 0.000800
Training Epoch: 17 [1280/48750]	Loss: 0.3003	LR: 0.000800
Training Epoch: 17 [1536/48750]	Loss: 0.4143	LR: 0.000800
Training Epoch: 17 [1792/48750]	Loss: 0.2904	LR: 0.000800
Training Epoch: 17 [2048/48750]	Loss: 0.2905	LR: 0.000800
Training Epoch: 17 [2304/48750]	Loss: 0.2695	LR: 0.000800
Training Epoch: 17 [2560/48750]	Loss: 0.2725	LR: 0.000800
Training Epoch: 17 [2816/48750]	Loss: 0.3349	LR: 0.000800
Training Epoch: 17 [3072/48750]	Loss: 0.2560	LR: 0.000800
Training Epoch: 17 [3328/48750]	Loss: 0.3068	LR: 0.000800
Training Epoch: 17 [3584/48750]	Loss: 0.3209	LR: 0.000800
Training Epoch: 17 [3840/48750]	Loss: 0.2834	LR: 0.000800
Training Epoch: 17 [4096/48750]	Loss: 0.3611	LR: 0.000800
Training Epoch: 17 [4352/48750]	Loss: 0.2938	LR: 0.000800
Training Epoch: 17 [4608/48750]	Loss: 0.3305	LR: 0.000800
Training Epoch: 17 [4864/48750]	Loss: 0.2852	LR: 0.000800
Training Epoch: 17 [5120/48750]	Loss: 0.3946	LR: 0.000800
Training Epoch: 17 [5376/48750]	Loss: 0.3749	LR: 0.000800
Training Epoch: 17 [5632/48750]	Loss: 0.2662	LR: 0.000800
Training Epoch: 17 [5888/48750]	Loss: 0.2968	LR: 0.000800
Training Epoch: 17 [6144/48750]	Loss: 0.2082	LR: 0.000800
Training Epoch: 17 [6400/48750]	Loss: 0.3235	LR: 0.000800
Training Epoch: 17 [6656/48750]	Loss: 0.3262	LR: 0.000800
Training Epoch: 17 [6912/48750]	Loss: 0.3056	LR: 0.000800
Training Epoch: 17 [7168/48750]	Loss: 0.3329	LR: 0.000800
Training Epoch: 17 [7424/48750]	Loss: 0.3011	LR: 0.000800
Training Epoch: 17 [7680/48750]	Loss: 0.2981	LR: 0.000800
Training Epoch: 17 [7936/48750]	Loss: 0.3446	LR: 0.000800
Training Epoch: 17 [8192/48750]	Loss: 0.4517	LR: 0.000800
Training Epoch: 17 [8448/48750]	Loss: 0.2960	LR: 0.000800
Training Epoch: 17 [8704/48750]	Loss: 0.2610	LR: 0.000800
Training Epoch: 17 [8960/48750]	Loss: 0.2710	LR: 0.000800
Training Epoch: 17 [9216/48750]	Loss: 0.3001	LR: 0.000800
Training Epoch: 17 [9472/48750]	Loss: 0.3352	LR: 0.000800
Training Epoch: 17 [9728/48750]	Loss: 0.2573	LR: 0.000800
Training Epoch: 17 [9984/48750]	Loss: 0.3406	LR: 0.000800
Training Epoch: 17 [10240/48750]	Loss: 0.3492	LR: 0.000800
Training Epoch: 17 [10496/48750]	Loss: 0.2627	LR: 0.000800
Training Epoch: 17 [10752/48750]	Loss: 0.4132	LR: 0.000800
Training Epoch: 17 [11008/48750]	Loss: 0.3681	LR: 0.000800
Training Epoch: 17 [11264/48750]	Loss: 0.3337	LR: 0.000800
Training Epoch: 17 [11520/48750]	Loss: 0.3166	LR: 0.000800
Training Epoch: 17 [11776/48750]	Loss: 0.2795	LR: 0.000800
Training Epoch: 17 [12032/48750]	Loss: 0.3586	LR: 0.000800
Training Epoch: 17 [12288/48750]	Loss: 0.3015	LR: 0.000800
Training Epoch: 17 [12544/48750]	Loss: 0.2952	LR: 0.000800
Training Epoch: 17 [12800/48750]	Loss: 0.3541	LR: 0.000800
Training Epoch: 17 [13056/48750]	Loss: 0.3713	LR: 0.000800
Training Epoch: 17 [13312/48750]	Loss: 0.3092	LR: 0.000800
Training Epoch: 17 [13568/48750]	Loss: 0.3083	LR: 0.000800
Training Epoch: 17 [13824/48750]	Loss: 0.2877	LR: 0.000800
Training Epoch: 17 [14080/48750]	Loss: 0.3323	LR: 0.000800
Training Epoch: 17 [14336/48750]	Loss: 0.3830	LR: 0.000800
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Training Epoch: 17 [15104/48750]	Loss: 0.3117	LR: 0.000800
Training Epoch: 17 [15360/48750]	Loss: 0.3225	LR: 0.000800
Training Epoch: 17 [15616/48750]	Loss: 0.2471	LR: 0.000800
Training Epoch: 17 [15872/48750]	Loss: 0.2872	LR: 0.000800
Training Epoch: 17 [16128/48750]	Loss: 0.2481	LR: 0.000800
Training Epoch: 17 [16384/48750]	Loss: 0.2841	LR: 0.000800
Training Epoch: 17 [16640/48750]	Loss: 0.2562	LR: 0.000800
Training Epoch: 17 [16896/48750]	Loss: 0.3213	LR: 0.000800
Training Epoch: 17 [17152/48750]	Loss: 0.2957	LR: 0.000800
Training Epoch: 17 [17408/48750]	Loss: 0.3412	LR: 0.000800
Training Epoch: 17 [17664/48750]	Loss: 0.2811	LR: 0.000800
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Training Epoch: 17 [18176/48750]	Loss: 0.3379	LR: 0.000800
Training Epoch: 17 [18432/48750]	Loss: 0.3148	LR: 0.000800
Training Epoch: 17 [18688/48750]	Loss: 0.2750	LR: 0.000800
Training Epoch: 17 [18944/48750]	Loss: 0.3183	LR: 0.000800
Training Epoch: 17 [19200/48750]	Loss: 0.2862	LR: 0.000800
Training Epoch: 17 [19456/48750]	Loss: 0.2755	LR: 0.000800
Training Epoch: 17 [19712/48750]	Loss: 0.2713	LR: 0.000800
Training Epoch: 17 [19968/48750]	Loss: 0.3666	LR: 0.000800
Training Epoch: 17 [20224/48750]	Loss: 0.2880	LR: 0.000800
Training Epoch: 17 [20480/48750]	Loss: 0.2313	LR: 0.000800
Training Epoch: 17 [20736/48750]	Loss: 0.3440	LR: 0.000800
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Training Epoch: 17 [22016/48750]	Loss: 0.3897	LR: 0.000800
Training Epoch: 17 [22272/48750]	Loss: 0.3683	LR: 0.000800
Training Epoch: 17 [22528/48750]	Loss: 0.2923	LR: 0.000800
Training Epoch: 17 [22784/48750]	Loss: 0.2970	LR: 0.000800
Training Epoch: 17 [23040/48750]	Loss: 0.3359	LR: 0.000800
Training Epoch: 17 [23296/48750]	Loss: 0.2577	LR: 0.000800
Training Epoch: 17 [23552/48750]	Loss: 0.3012	LR: 0.000800
Training Epoch: 17 [23808/48750]	Loss: 0.2183	LR: 0.000800
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Training Epoch: 17 [45568/48750]	Loss: 0.3080	LR: 0.000800
Training Epoch: 17 [45824/48750]	Loss: 0.3432	LR: 0.000800
Training Epoch: 17 [46080/48750]	Loss: 0.2510	LR: 0.000800
Training Epoch: 17 [46336/48750]	Loss: 0.3620	LR: 0.000800
Training Epoch: 17 [46592/48750]	Loss: 0.3463	LR: 0.000800
Training Epoch: 17 [46848/48750]	Loss: 0.3144	LR: 0.000800
Training Epoch: 17 [47104/48750]	Loss: 0.2679	LR: 0.000800
Training Epoch: 17 [47360/48750]	Loss: 0.3264	LR: 0.000800
Training Epoch: 17 [47616/48750]	Loss: 0.3017	LR: 0.000800
Training Epoch: 17 [47872/48750]	Loss: 0.3665	LR: 0.000800
Training Epoch: 17 [48128/48750]	Loss: 0.3047	LR: 0.000800
Training Epoch: 17 [48384/48750]	Loss: 0.3451	LR: 0.000800
Training Epoch: 17 [48640/48750]	Loss: 0.2805	LR: 0.000800
Training Epoch: 17 [48750/48750]	Loss: 0.2370	LR: 0.000800
Epoch 17 - Average Train Loss: 0.3122, Train Accuracy: 0.8959
Epoch 17 training time consumed: 27.24s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0015, Accuracy: 0.8753, Time consumed:0.93s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_08h_53m_12s/AllCNN-Cifar10-seed2-ret75-17-best.pth
Training Epoch: 18 [256/48750]	Loss: 0.2593	LR: 0.000800
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Training Epoch: 18 [1536/48750]	Loss: 0.3410	LR: 0.000800
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Training Epoch: 18 [24576/48750]	Loss: 0.3239	LR: 0.000800
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Training Epoch: 18 [27648/48750]	Loss: 0.3228	LR: 0.000800
Training Epoch: 18 [27904/48750]	Loss: 0.3285	LR: 0.000800
Training Epoch: 18 [28160/48750]	Loss: 0.2861	LR: 0.000800
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Training Epoch: 18 [28928/48750]	Loss: 0.2599	LR: 0.000800
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Training Epoch: 18 [30720/48750]	Loss: 0.3210	LR: 0.000800
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Training Epoch: 18 [36096/48750]	Loss: 0.2789	LR: 0.000800
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Training Epoch: 18 [48128/48750]	Loss: 0.3370	LR: 0.000800
Training Epoch: 18 [48384/48750]	Loss: 0.2591	LR: 0.000800
Training Epoch: 18 [48640/48750]	Loss: 0.3107	LR: 0.000800
Training Epoch: 18 [48750/48750]	Loss: 0.3779	LR: 0.000800
Epoch 18 - Average Train Loss: 0.3121, Train Accuracy: 0.8935
Epoch 18 training time consumed: 27.52s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0015, Accuracy: 0.8752, Time consumed:0.92s
Training Epoch: 19 [256/48750]	Loss: 0.2643	LR: 0.000800
Training Epoch: 19 [512/48750]	Loss: 0.2974	LR: 0.000800
Training Epoch: 19 [768/48750]	Loss: 0.2845	LR: 0.000800
Training Epoch: 19 [1024/48750]	Loss: 0.2846	LR: 0.000800
Training Epoch: 19 [1280/48750]	Loss: 0.2588	LR: 0.000800
Training Epoch: 19 [1536/48750]	Loss: 0.3666	LR: 0.000800
Training Epoch: 19 [1792/48750]	Loss: 0.2875	LR: 0.000800
Training Epoch: 19 [2048/48750]	Loss: 0.2806	LR: 0.000800
Training Epoch: 19 [2304/48750]	Loss: 0.3029	LR: 0.000800
Training Epoch: 19 [2560/48750]	Loss: 0.3343	LR: 0.000800
Training Epoch: 19 [2816/48750]	Loss: 0.2857	LR: 0.000800
Training Epoch: 19 [3072/48750]	Loss: 0.3173	LR: 0.000800
Training Epoch: 19 [3328/48750]	Loss: 0.2974	LR: 0.000800
Training Epoch: 19 [3584/48750]	Loss: 0.3583	LR: 0.000800
Training Epoch: 19 [3840/48750]	Loss: 0.3249	LR: 0.000800
Training Epoch: 19 [4096/48750]	Loss: 0.2361	LR: 0.000800
Training Epoch: 19 [4352/48750]	Loss: 0.3192	LR: 0.000800
Training Epoch: 19 [4608/48750]	Loss: 0.2561	LR: 0.000800
Training Epoch: 19 [4864/48750]	Loss: 0.3771	LR: 0.000800
Training Epoch: 19 [5120/48750]	Loss: 0.3469	LR: 0.000800
Training Epoch: 19 [5376/48750]	Loss: 0.3045	LR: 0.000800
Training Epoch: 19 [5632/48750]	Loss: 0.2633	LR: 0.000800
Training Epoch: 19 [5888/48750]	Loss: 0.1985	LR: 0.000800
Training Epoch: 19 [6144/48750]	Loss: 0.2752	LR: 0.000800
Training Epoch: 19 [6400/48750]	Loss: 0.2989	LR: 0.000800
Training Epoch: 19 [6656/48750]	Loss: 0.3307	LR: 0.000800
Training Epoch: 19 [6912/48750]	Loss: 0.2919	LR: 0.000800
Training Epoch: 19 [7168/48750]	Loss: 0.3725	LR: 0.000800
Training Epoch: 19 [7424/48750]	Loss: 0.3716	LR: 0.000800
Training Epoch: 19 [7680/48750]	Loss: 0.3555	LR: 0.000800
Training Epoch: 19 [7936/48750]	Loss: 0.3974	LR: 0.000800
Training Epoch: 19 [8192/48750]	Loss: 0.3376	LR: 0.000800
Training Epoch: 19 [8448/48750]	Loss: 0.3682	LR: 0.000800
Training Epoch: 19 [8704/48750]	Loss: 0.4096	LR: 0.000800
Training Epoch: 19 [8960/48750]	Loss: 0.2637	LR: 0.000800
Training Epoch: 19 [9216/48750]	Loss: 0.2938	LR: 0.000800
Training Epoch: 19 [9472/48750]	Loss: 0.3629	LR: 0.000800
Training Epoch: 19 [9728/48750]	Loss: 0.3761	LR: 0.000800
Training Epoch: 19 [9984/48750]	Loss: 0.2797	LR: 0.000800
Training Epoch: 19 [10240/48750]	Loss: 0.3002	LR: 0.000800
Training Epoch: 19 [10496/48750]	Loss: 0.3903	LR: 0.000800
Training Epoch: 19 [10752/48750]	Loss: 0.2960	LR: 0.000800
Training Epoch: 19 [11008/48750]	Loss: 0.2756	LR: 0.000800
Training Epoch: 19 [11264/48750]	Loss: 0.2776	LR: 0.000800
Training Epoch: 19 [11520/48750]	Loss: 0.2503	LR: 0.000800
Training Epoch: 19 [11776/48750]	Loss: 0.2672	LR: 0.000800
Training Epoch: 19 [12032/48750]	Loss: 0.2768	LR: 0.000800
Training Epoch: 19 [12288/48750]	Loss: 0.3023	LR: 0.000800
Training Epoch: 19 [12544/48750]	Loss: 0.3144	LR: 0.000800
Training Epoch: 19 [12800/48750]	Loss: 0.2656	LR: 0.000800
Training Epoch: 19 [13056/48750]	Loss: 0.3420	LR: 0.000800
Training Epoch: 19 [13312/48750]	Loss: 0.3076	LR: 0.000800
Training Epoch: 19 [13568/48750]	Loss: 0.3806	LR: 0.000800
Training Epoch: 19 [13824/48750]	Loss: 0.2883	LR: 0.000800
Training Epoch: 19 [14080/48750]	Loss: 0.2157	LR: 0.000800
Training Epoch: 19 [14336/48750]	Loss: 0.3031	LR: 0.000800
Training Epoch: 19 [14592/48750]	Loss: 0.2767	LR: 0.000800
Training Epoch: 19 [14848/48750]	Loss: 0.3039	LR: 0.000800
Training Epoch: 19 [15104/48750]	Loss: 0.3131	LR: 0.000800
Training Epoch: 19 [15360/48750]	Loss: 0.2974	LR: 0.000800
Training Epoch: 19 [15616/48750]	Loss: 0.2478	LR: 0.000800
Training Epoch: 19 [15872/48750]	Loss: 0.3108	LR: 0.000800
Training Epoch: 19 [16128/48750]	Loss: 0.2464	LR: 0.000800
Training Epoch: 19 [16384/48750]	Loss: 0.3389	LR: 0.000800
Training Epoch: 19 [16640/48750]	Loss: 0.2756	LR: 0.000800
Training Epoch: 19 [16896/48750]	Loss: 0.2475	LR: 0.000800
Training Epoch: 19 [17152/48750]	Loss: 0.3750	LR: 0.000800
Training Epoch: 19 [17408/48750]	Loss: 0.3226	LR: 0.000800
Training Epoch: 19 [17664/48750]	Loss: 0.3893	LR: 0.000800
Training Epoch: 19 [17920/48750]	Loss: 0.3479	LR: 0.000800
Training Epoch: 19 [18176/48750]	Loss: 0.2721	LR: 0.000800
Training Epoch: 19 [18432/48750]	Loss: 0.3143	LR: 0.000800
Training Epoch: 19 [18688/48750]	Loss: 0.2835	LR: 0.000800
Training Epoch: 19 [18944/48750]	Loss: 0.3021	LR: 0.000800
Training Epoch: 19 [19200/48750]	Loss: 0.2665	LR: 0.000800
Training Epoch: 19 [19456/48750]	Loss: 0.2793	LR: 0.000800
Training Epoch: 19 [19712/48750]	Loss: 0.3121	LR: 0.000800
Training Epoch: 19 [19968/48750]	Loss: 0.2514	LR: 0.000800
Training Epoch: 19 [20224/48750]	Loss: 0.3267	LR: 0.000800
Training Epoch: 19 [20480/48750]	Loss: 0.3798	LR: 0.000800
Training Epoch: 19 [20736/48750]	Loss: 0.3031	LR: 0.000800
Training Epoch: 19 [20992/48750]	Loss: 0.2577	LR: 0.000800
Training Epoch: 19 [21248/48750]	Loss: 0.3067	LR: 0.000800
Training Epoch: 19 [21504/48750]	Loss: 0.3270	LR: 0.000800
Training Epoch: 19 [21760/48750]	Loss: 0.3522	LR: 0.000800
Training Epoch: 19 [22016/48750]	Loss: 0.3245	LR: 0.000800
Training Epoch: 19 [22272/48750]	Loss: 0.3384	LR: 0.000800
Training Epoch: 19 [22528/48750]	Loss: 0.2906	LR: 0.000800
Training Epoch: 19 [22784/48750]	Loss: 0.3591	LR: 0.000800
Training Epoch: 19 [23040/48750]	Loss: 0.3305	LR: 0.000800
Training Epoch: 19 [23296/48750]	Loss: 0.3227	LR: 0.000800
Training Epoch: 19 [23552/48750]	Loss: 0.2554	LR: 0.000800
Training Epoch: 19 [23808/48750]	Loss: 0.2792	LR: 0.000800
Training Epoch: 19 [24064/48750]	Loss: 0.3588	LR: 0.000800
Training Epoch: 19 [24320/48750]	Loss: 0.3356	LR: 0.000800
Training Epoch: 19 [24576/48750]	Loss: 0.3407	LR: 0.000800
Training Epoch: 19 [24832/48750]	Loss: 0.2617	LR: 0.000800
Training Epoch: 19 [25088/48750]	Loss: 0.3564	LR: 0.000800
Training Epoch: 19 [25344/48750]	Loss: 0.2324	LR: 0.000800
Training Epoch: 19 [25600/48750]	Loss: 0.3041	LR: 0.000800
Training Epoch: 19 [25856/48750]	Loss: 0.3068	LR: 0.000800
Training Epoch: 19 [26112/48750]	Loss: 0.3321	LR: 0.000800
Training Epoch: 19 [26368/48750]	Loss: 0.2637	LR: 0.000800
Training Epoch: 19 [26624/48750]	Loss: 0.2490	LR: 0.000800
Training Epoch: 19 [26880/48750]	Loss: 0.3110	LR: 0.000800
Training Epoch: 19 [27136/48750]	Loss: 0.2799	LR: 0.000800
Training Epoch: 19 [27392/48750]	Loss: 0.2952	LR: 0.000800
Training Epoch: 19 [27648/48750]	Loss: 0.3375	LR: 0.000800
Training Epoch: 19 [27904/48750]	Loss: 0.2721	LR: 0.000800
Training Epoch: 19 [28160/48750]	Loss: 0.2730	LR: 0.000800
Training Epoch: 19 [28416/48750]	Loss: 0.3919	LR: 0.000800
Training Epoch: 19 [28672/48750]	Loss: 0.3575	LR: 0.000800
Training Epoch: 19 [28928/48750]	Loss: 0.2535	LR: 0.000800
Training Epoch: 19 [29184/48750]	Loss: 0.3417	LR: 0.000800
Training Epoch: 19 [29440/48750]	Loss: 0.2545	LR: 0.000800
Training Epoch: 19 [29696/48750]	Loss: 0.2776	LR: 0.000800
Training Epoch: 19 [29952/48750]	Loss: 0.3066	LR: 0.000800
Training Epoch: 19 [30208/48750]	Loss: 0.2723	LR: 0.000800
Training Epoch: 19 [30464/48750]	Loss: 0.2758	LR: 0.000800
Training Epoch: 19 [30720/48750]	Loss: 0.3535	LR: 0.000800
Training Epoch: 19 [30976/48750]	Loss: 0.2959	LR: 0.000800
Training Epoch: 19 [31232/48750]	Loss: 0.4582	LR: 0.000800
Training Epoch: 19 [31488/48750]	Loss: 0.2469	LR: 0.000800
Training Epoch: 19 [31744/48750]	Loss: 0.2818	LR: 0.000800
Training Epoch: 19 [32000/48750]	Loss: 0.2750	LR: 0.000800
Training Epoch: 19 [32256/48750]	Loss: 0.2829	LR: 0.000800
Training Epoch: 19 [32512/48750]	Loss: 0.3231	LR: 0.000800
Training Epoch: 19 [32768/48750]	Loss: 0.2748	LR: 0.000800
Training Epoch: 19 [33024/48750]	Loss: 0.3045	LR: 0.000800
Training Epoch: 19 [33280/48750]	Loss: 0.3381	LR: 0.000800
Training Epoch: 19 [33536/48750]	Loss: 0.2939	LR: 0.000800
Training Epoch: 19 [33792/48750]	Loss: 0.3372	LR: 0.000800
Training Epoch: 19 [34048/48750]	Loss: 0.3234	LR: 0.000800
Training Epoch: 19 [34304/48750]	Loss: 0.2676	LR: 0.000800
Training Epoch: 19 [34560/48750]	Loss: 0.3549	LR: 0.000800
Training Epoch: 19 [34816/48750]	Loss: 0.3703	LR: 0.000800
Training Epoch: 19 [35072/48750]	Loss: 0.3334	LR: 0.000800
Training Epoch: 19 [35328/48750]	Loss: 0.3551	LR: 0.000800
Training Epoch: 19 [35584/48750]	Loss: 0.3707	LR: 0.000800
Training Epoch: 19 [35840/48750]	Loss: 0.3319	LR: 0.000800
Training Epoch: 19 [36096/48750]	Loss: 0.2677	LR: 0.000800
Training Epoch: 19 [36352/48750]	Loss: 0.2790	LR: 0.000800
Training Epoch: 19 [36608/48750]	Loss: 0.2981	LR: 0.000800
Training Epoch: 19 [36864/48750]	Loss: 0.2434	LR: 0.000800
Training Epoch: 19 [37120/48750]	Loss: 0.3050	LR: 0.000800
Training Epoch: 19 [37376/48750]	Loss: 0.3080	LR: 0.000800
Training Epoch: 19 [37632/48750]	Loss: 0.2916	LR: 0.000800
Training Epoch: 19 [37888/48750]	Loss: 0.3504	LR: 0.000800
Training Epoch: 19 [38144/48750]	Loss: 0.3017	LR: 0.000800
Training Epoch: 19 [38400/48750]	Loss: 0.2965	LR: 0.000800
Training Epoch: 19 [38656/48750]	Loss: 0.2952	LR: 0.000800
Training Epoch: 19 [38912/48750]	Loss: 0.2633	LR: 0.000800
Training Epoch: 19 [39168/48750]	Loss: 0.3425	LR: 0.000800
Training Epoch: 19 [39424/48750]	Loss: 0.3340	LR: 0.000800
Training Epoch: 19 [39680/48750]	Loss: 0.3788	LR: 0.000800
Training Epoch: 19 [39936/48750]	Loss: 0.2589	LR: 0.000800
Training Epoch: 19 [40192/48750]	Loss: 0.3129	LR: 0.000800
Training Epoch: 19 [40448/48750]	Loss: 0.3022	LR: 0.000800
Training Epoch: 19 [40704/48750]	Loss: 0.4114	LR: 0.000800
Training Epoch: 19 [40960/48750]	Loss: 0.3259	LR: 0.000800
Training Epoch: 19 [41216/48750]	Loss: 0.2062	LR: 0.000800
Training Epoch: 19 [41472/48750]	Loss: 0.3602	LR: 0.000800
Training Epoch: 19 [41728/48750]	Loss: 0.2453	LR: 0.000800
Training Epoch: 19 [41984/48750]	Loss: 0.3474	LR: 0.000800
Training Epoch: 19 [42240/48750]	Loss: 0.2906	LR: 0.000800
Training Epoch: 19 [42496/48750]	Loss: 0.1882	LR: 0.000800
Training Epoch: 19 [42752/48750]	Loss: 0.3480	LR: 0.000800
Training Epoch: 19 [43008/48750]	Loss: 0.3339	LR: 0.000800
Training Epoch: 19 [43264/48750]	Loss: 0.3670	LR: 0.000800
Training Epoch: 19 [43520/48750]	Loss: 0.3051	LR: 0.000800
Training Epoch: 19 [43776/48750]	Loss: 0.2526	LR: 0.000800
Training Epoch: 19 [44032/48750]	Loss: 0.2998	LR: 0.000800
Training Epoch: 19 [44288/48750]	Loss: 0.2429	LR: 0.000800
Training Epoch: 19 [44544/48750]	Loss: 0.3084	LR: 0.000800
Training Epoch: 19 [44800/48750]	Loss: 0.3881	LR: 0.000800
Training Epoch: 19 [45056/48750]	Loss: 0.3069	LR: 0.000800
Training Epoch: 19 [45312/48750]	Loss: 0.2772	LR: 0.000800
Training Epoch: 19 [45568/48750]	Loss: 0.2044	LR: 0.000800
Training Epoch: 19 [45824/48750]	Loss: 0.2857	LR: 0.000800
Training Epoch: 19 [46080/48750]	Loss: 0.3032	LR: 0.000800
Training Epoch: 19 [46336/48750]	Loss: 0.2642	LR: 0.000800
Training Epoch: 19 [46592/48750]	Loss: 0.2286	LR: 0.000800
Training Epoch: 19 [46848/48750]	Loss: 0.3523	LR: 0.000800
Training Epoch: 19 [47104/48750]	Loss: 0.2520	LR: 0.000800
Training Epoch: 19 [47360/48750]	Loss: 0.3700	LR: 0.000800
Training Epoch: 19 [47616/48750]	Loss: 0.1878	LR: 0.000800
Training Epoch: 19 [47872/48750]	Loss: 0.3243	LR: 0.000800
Training Epoch: 19 [48128/48750]	Loss: 0.3548	LR: 0.000800
Training Epoch: 19 [48384/48750]	Loss: 0.3530	LR: 0.000800
Training Epoch: 19 [48640/48750]	Loss: 0.2660	LR: 0.000800
Training Epoch: 19 [48750/48750]	Loss: 0.3541	LR: 0.000800
Epoch 19 - Average Train Loss: 0.3065, Train Accuracy: 0.8954
Epoch 19 training time consumed: 27.11s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0015, Accuracy: 0.8737, Time consumed:0.85s
Training Epoch: 20 [256/48750]	Loss: 0.3051	LR: 0.000800
Training Epoch: 20 [512/48750]	Loss: 0.2865	LR: 0.000800
Training Epoch: 20 [768/48750]	Loss: 0.2640	LR: 0.000800
Training Epoch: 20 [1024/48750]	Loss: 0.3391	LR: 0.000800
Training Epoch: 20 [1280/48750]	Loss: 0.3085	LR: 0.000800
Training Epoch: 20 [1536/48750]	Loss: 0.3571	LR: 0.000800
Training Epoch: 20 [1792/48750]	Loss: 0.3014	LR: 0.000800
Training Epoch: 20 [2048/48750]	Loss: 0.2637	LR: 0.000800
Training Epoch: 20 [2304/48750]	Loss: 0.3480	LR: 0.000800
Training Epoch: 20 [2560/48750]	Loss: 0.2806	LR: 0.000800
Training Epoch: 20 [2816/48750]	Loss: 0.3082	LR: 0.000800
Training Epoch: 20 [3072/48750]	Loss: 0.3121	LR: 0.000800
Training Epoch: 20 [3328/48750]	Loss: 0.3197	LR: 0.000800
Training Epoch: 20 [3584/48750]	Loss: 0.2671	LR: 0.000800
Training Epoch: 20 [3840/48750]	Loss: 0.3415	LR: 0.000800
Training Epoch: 20 [4096/48750]	Loss: 0.2978	LR: 0.000800
Training Epoch: 20 [4352/48750]	Loss: 0.3138	LR: 0.000800
Training Epoch: 20 [4608/48750]	Loss: 0.2676	LR: 0.000800
Training Epoch: 20 [4864/48750]	Loss: 0.3720	LR: 0.000800
Training Epoch: 20 [5120/48750]	Loss: 0.3043	LR: 0.000800
Training Epoch: 20 [5376/48750]	Loss: 0.2852	LR: 0.000800
Training Epoch: 20 [5632/48750]	Loss: 0.2574	LR: 0.000800
Training Epoch: 20 [5888/48750]	Loss: 0.3339	LR: 0.000800
Training Epoch: 20 [6144/48750]	Loss: 0.2428	LR: 0.000800
Training Epoch: 20 [6400/48750]	Loss: 0.2315	LR: 0.000800
Training Epoch: 20 [6656/48750]	Loss: 0.2988	LR: 0.000800
Training Epoch: 20 [6912/48750]	Loss: 0.3694	LR: 0.000800
Training Epoch: 20 [7168/48750]	Loss: 0.2847	LR: 0.000800
Training Epoch: 20 [7424/48750]	Loss: 0.2437	LR: 0.000800
Training Epoch: 20 [7680/48750]	Loss: 0.3191	LR: 0.000800
Training Epoch: 20 [7936/48750]	Loss: 0.2956	LR: 0.000800
Training Epoch: 20 [8192/48750]	Loss: 0.3280	LR: 0.000800
Training Epoch: 20 [8448/48750]	Loss: 0.3201	LR: 0.000800
Training Epoch: 20 [8704/48750]	Loss: 0.3135	LR: 0.000800
Training Epoch: 20 [8960/48750]	Loss: 0.2729	LR: 0.000800
Training Epoch: 20 [9216/48750]	Loss: 0.2579	LR: 0.000800
Training Epoch: 20 [9472/48750]	Loss: 0.2924	LR: 0.000800
Training Epoch: 20 [9728/48750]	Loss: 0.2910	LR: 0.000800
Training Epoch: 20 [9984/48750]	Loss: 0.3552	LR: 0.000800
Training Epoch: 20 [10240/48750]	Loss: 0.2916	LR: 0.000800
Training Epoch: 20 [10496/48750]	Loss: 0.3132	LR: 0.000800
Training Epoch: 20 [10752/48750]	Loss: 0.3113	LR: 0.000800
Training Epoch: 20 [11008/48750]	Loss: 0.2767	LR: 0.000800
Training Epoch: 20 [11264/48750]	Loss: 0.3082	LR: 0.000800
Training Epoch: 20 [11520/48750]	Loss: 0.3383	LR: 0.000800
Training Epoch: 20 [11776/48750]	Loss: 0.3069	LR: 0.000800
Training Epoch: 20 [12032/48750]	Loss: 0.3378	LR: 0.000800
Training Epoch: 20 [12288/48750]	Loss: 0.2208	LR: 0.000800
Training Epoch: 20 [12544/48750]	Loss: 0.3302	LR: 0.000800
Training Epoch: 20 [12800/48750]	Loss: 0.3158	LR: 0.000800
Training Epoch: 20 [13056/48750]	Loss: 0.2901	LR: 0.000800
Training Epoch: 20 [13312/48750]	Loss: 0.2473	LR: 0.000800
Training Epoch: 20 [13568/48750]	Loss: 0.2705	LR: 0.000800
Training Epoch: 20 [13824/48750]	Loss: 0.3799	LR: 0.000800
Training Epoch: 20 [14080/48750]	Loss: 0.2525	LR: 0.000800
Training Epoch: 20 [14336/48750]	Loss: 0.2610	LR: 0.000800
Training Epoch: 20 [14592/48750]	Loss: 0.3648	LR: 0.000800
Training Epoch: 20 [14848/48750]	Loss: 0.3066	LR: 0.000800
Training Epoch: 20 [15104/48750]	Loss: 0.3533	LR: 0.000800
Training Epoch: 20 [15360/48750]	Loss: 0.2803	LR: 0.000800
Training Epoch: 20 [15616/48750]	Loss: 0.3427	LR: 0.000800
Training Epoch: 20 [15872/48750]	Loss: 0.2293	LR: 0.000800
Training Epoch: 20 [16128/48750]	Loss: 0.3088	LR: 0.000800
Training Epoch: 20 [16384/48750]	Loss: 0.3326	LR: 0.000800
Training Epoch: 20 [16640/48750]	Loss: 0.2479	LR: 0.000800
Training Epoch: 20 [16896/48750]	Loss: 0.2921	LR: 0.000800
Training Epoch: 20 [17152/48750]	Loss: 0.2837	LR: 0.000800
Training Epoch: 20 [17408/48750]	Loss: 0.2482	LR: 0.000800
Training Epoch: 20 [17664/48750]	Loss: 0.3021	LR: 0.000800
Training Epoch: 20 [17920/48750]	Loss: 0.2715	LR: 0.000800
Training Epoch: 20 [18176/48750]	Loss: 0.2830	LR: 0.000800
Training Epoch: 20 [18432/48750]	Loss: 0.3215	LR: 0.000800
Training Epoch: 20 [18688/48750]	Loss: 0.2714	LR: 0.000800
Training Epoch: 20 [18944/48750]	Loss: 0.3248	LR: 0.000800
Training Epoch: 20 [19200/48750]	Loss: 0.3396	LR: 0.000800
Training Epoch: 20 [19456/48750]	Loss: 0.2970	LR: 0.000800
Training Epoch: 20 [19712/48750]	Loss: 0.2447	LR: 0.000800
Training Epoch: 20 [19968/48750]	Loss: 0.2875	LR: 0.000800
Training Epoch: 20 [20224/48750]	Loss: 0.2593	LR: 0.000800
Training Epoch: 20 [20480/48750]	Loss: 0.3222	LR: 0.000800
Training Epoch: 20 [20736/48750]	Loss: 0.2859	LR: 0.000800
Training Epoch: 20 [20992/48750]	Loss: 0.3461	LR: 0.000800
Training Epoch: 20 [21248/48750]	Loss: 0.3359	LR: 0.000800
Training Epoch: 20 [21504/48750]	Loss: 0.2334	LR: 0.000800
Training Epoch: 20 [21760/48750]	Loss: 0.2938	LR: 0.000800
Training Epoch: 20 [22016/48750]	Loss: 0.2868	LR: 0.000800
Training Epoch: 20 [22272/48750]	Loss: 0.3035	LR: 0.000800
Training Epoch: 20 [22528/48750]	Loss: 0.2719	LR: 0.000800
Training Epoch: 20 [22784/48750]	Loss: 0.3168	LR: 0.000800
Training Epoch: 20 [23040/48750]	Loss: 0.3149	LR: 0.000800
Training Epoch: 20 [23296/48750]	Loss: 0.2939	LR: 0.000800
Training Epoch: 20 [23552/48750]	Loss: 0.2377	LR: 0.000800
Training Epoch: 20 [23808/48750]	Loss: 0.2517	LR: 0.000800
Training Epoch: 20 [24064/48750]	Loss: 0.2909	LR: 0.000800
Training Epoch: 20 [24320/48750]	Loss: 0.2472	LR: 0.000800
Training Epoch: 20 [24576/48750]	Loss: 0.2893	LR: 0.000800
Training Epoch: 20 [24832/48750]	Loss: 0.3061	LR: 0.000800
Training Epoch: 20 [25088/48750]	Loss: 0.3329	LR: 0.000800
Training Epoch: 20 [25344/48750]	Loss: 0.2876	LR: 0.000800
Training Epoch: 20 [25600/48750]	Loss: 0.2631	LR: 0.000800
Training Epoch: 20 [25856/48750]	Loss: 0.3147	LR: 0.000800
Training Epoch: 20 [26112/48750]	Loss: 0.2772	LR: 0.000800
Training Epoch: 20 [26368/48750]	Loss: 0.2864	LR: 0.000800
Training Epoch: 20 [26624/48750]	Loss: 0.3811	LR: 0.000800
Training Epoch: 20 [26880/48750]	Loss: 0.2935	LR: 0.000800
Training Epoch: 20 [27136/48750]	Loss: 0.3206	LR: 0.000800
Training Epoch: 20 [27392/48750]	Loss: 0.3469	LR: 0.000800
Training Epoch: 20 [27648/48750]	Loss: 0.2373	LR: 0.000800
Training Epoch: 20 [27904/48750]	Loss: 0.2630	LR: 0.000800
Training Epoch: 20 [28160/48750]	Loss: 0.3395	LR: 0.000800
Training Epoch: 20 [28416/48750]	Loss: 0.2484	LR: 0.000800
Training Epoch: 20 [28672/48750]	Loss: 0.3640	LR: 0.000800
Training Epoch: 20 [28928/48750]	Loss: 0.3090	LR: 0.000800
Training Epoch: 20 [29184/48750]	Loss: 0.2493	LR: 0.000800
Training Epoch: 20 [29440/48750]	Loss: 0.2609	LR: 0.000800
Training Epoch: 20 [29696/48750]	Loss: 0.3103	LR: 0.000800
Training Epoch: 20 [29952/48750]	Loss: 0.2551	LR: 0.000800
Training Epoch: 20 [30208/48750]	Loss: 0.3356	LR: 0.000800
Training Epoch: 20 [30464/48750]	Loss: 0.3240	LR: 0.000800
Training Epoch: 20 [30720/48750]	Loss: 0.2895	LR: 0.000800
Training Epoch: 20 [30976/48750]	Loss: 0.3228	LR: 0.000800
Training Epoch: 20 [31232/48750]	Loss: 0.3395	LR: 0.000800
Training Epoch: 20 [31488/48750]	Loss: 0.2871	LR: 0.000800
Training Epoch: 20 [31744/48750]	Loss: 0.2943	LR: 0.000800
Training Epoch: 20 [32000/48750]	Loss: 0.2650	LR: 0.000800
Training Epoch: 20 [32256/48750]	Loss: 0.2994	LR: 0.000800
Training Epoch: 20 [32512/48750]	Loss: 0.2811	LR: 0.000800
Training Epoch: 20 [32768/48750]	Loss: 0.3274	LR: 0.000800
Training Epoch: 20 [33024/48750]	Loss: 0.3337	LR: 0.000800
Training Epoch: 20 [33280/48750]	Loss: 0.4222	LR: 0.000800
Training Epoch: 20 [33536/48750]	Loss: 0.3474	LR: 0.000800
Training Epoch: 20 [33792/48750]	Loss: 0.3211	LR: 0.000800
Training Epoch: 20 [34048/48750]	Loss: 0.2884	LR: 0.000800
Training Epoch: 20 [34304/48750]	Loss: 0.3619	LR: 0.000800
Training Epoch: 20 [34560/48750]	Loss: 0.4034	LR: 0.000800
Training Epoch: 20 [34816/48750]	Loss: 0.3901	LR: 0.000800
Training Epoch: 20 [35072/48750]	Loss: 0.2785	LR: 0.000800
Training Epoch: 20 [35328/48750]	Loss: 0.2970	LR: 0.000800
Training Epoch: 20 [35584/48750]	Loss: 0.2775	LR: 0.000800
Training Epoch: 20 [35840/48750]	Loss: 0.3163	LR: 0.000800
Training Epoch: 20 [36096/48750]	Loss: 0.2674	LR: 0.000800
Training Epoch: 20 [36352/48750]	Loss: 0.2971	LR: 0.000800
Training Epoch: 20 [36608/48750]	Loss: 0.3016	LR: 0.000800
Training Epoch: 20 [36864/48750]	Loss: 0.2945	LR: 0.000800
Training Epoch: 20 [37120/48750]	Loss: 0.2920	LR: 0.000800
Training Epoch: 20 [37376/48750]	Loss: 0.4161	LR: 0.000800
Training Epoch: 20 [37632/48750]	Loss: 0.2784	LR: 0.000800
Training Epoch: 20 [37888/48750]	Loss: 0.3033	LR: 0.000800
Training Epoch: 20 [38144/48750]	Loss: 0.3128	LR: 0.000800
Training Epoch: 20 [38400/48750]	Loss: 0.2917	LR: 0.000800
Training Epoch: 20 [38656/48750]	Loss: 0.3211	LR: 0.000800
Training Epoch: 20 [38912/48750]	Loss: 0.3754	LR: 0.000800
Training Epoch: 20 [39168/48750]	Loss: 0.3411	LR: 0.000800
Training Epoch: 20 [39424/48750]	Loss: 0.3470	LR: 0.000800
Training Epoch: 20 [39680/48750]	Loss: 0.2738	LR: 0.000800
Training Epoch: 20 [39936/48750]	Loss: 0.3054	LR: 0.000800
Training Epoch: 20 [40192/48750]	Loss: 0.3004	LR: 0.000800
Training Epoch: 20 [40448/48750]	Loss: 0.2889	LR: 0.000800
Training Epoch: 20 [40704/48750]	Loss: 0.3631	LR: 0.000800
Training Epoch: 20 [40960/48750]	Loss: 0.2332	LR: 0.000800
Training Epoch: 20 [41216/48750]	Loss: 0.2638	LR: 0.000800
Training Epoch: 20 [41472/48750]	Loss: 0.3018	LR: 0.000800
Training Epoch: 20 [41728/48750]	Loss: 0.3287	LR: 0.000800
Training Epoch: 20 [41984/48750]	Loss: 0.2145	LR: 0.000800
Training Epoch: 20 [42240/48750]	Loss: 0.2912	LR: 0.000800
Training Epoch: 20 [42496/48750]	Loss: 0.2210	LR: 0.000800
Training Epoch: 20 [42752/48750]	Loss: 0.3527	LR: 0.000800
Training Epoch: 20 [43008/48750]	Loss: 0.2561	LR: 0.000800
Training Epoch: 20 [43264/48750]	Loss: 0.3468	LR: 0.000800
Training Epoch: 20 [43520/48750]	Loss: 0.3178	LR: 0.000800
Training Epoch: 20 [43776/48750]	Loss: 0.3730	LR: 0.000800
Training Epoch: 20 [44032/48750]	Loss: 0.3242	LR: 0.000800
Training Epoch: 20 [44288/48750]	Loss: 0.3328	LR: 0.000800
Training Epoch: 20 [44544/48750]	Loss: 0.2691	LR: 0.000800
Training Epoch: 20 [44800/48750]	Loss: 0.2709	LR: 0.000800
Training Epoch: 20 [45056/48750]	Loss: 0.3794	LR: 0.000800
Training Epoch: 20 [45312/48750]	Loss: 0.2018	LR: 0.000800
Training Epoch: 20 [45568/48750]	Loss: 0.3378	LR: 0.000800
Training Epoch: 20 [45824/48750]	Loss: 0.2955	LR: 0.000800
Training Epoch: 20 [46080/48750]	Loss: 0.3880	LR: 0.000800
Training Epoch: 20 [46336/48750]	Loss: 0.2893	LR: 0.000800
Training Epoch: 20 [46592/48750]	Loss: 0.2474	LR: 0.000800
Training Epoch: 20 [46848/48750]	Loss: 0.2970	LR: 0.000800
Training Epoch: 20 [47104/48750]	Loss: 0.3419	LR: 0.000800
Training Epoch: 20 [47360/48750]	Loss: 0.3844	LR: 0.000800
Training Epoch: 20 [47616/48750]	Loss: 0.3843	LR: 0.000800
Training Epoch: 20 [47872/48750]	Loss: 0.3489	LR: 0.000800
Training Epoch: 20 [48128/48750]	Loss: 0.3079	LR: 0.000800
Training Epoch: 20 [48384/48750]	Loss: 0.3233	LR: 0.000800
Training Epoch: 20 [48640/48750]	Loss: 0.3938	LR: 0.000800
Training Epoch: 20 [48750/48750]	Loss: 0.2401	LR: 0.000800
Epoch 20 - Average Train Loss: 0.3038, Train Accuracy: 0.8967
Epoch 20 training time consumed: 27.12s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0015, Accuracy: 0.8748, Time consumed:0.92s
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: 87.626953125
Retain Accuracy: 89.99256896972656
Zero-Retain Forget (ZRF): 0.8568658828735352
Membership Inference Attack (MIA): 0.4256
Forget vs Retain Membership Inference Attack (MIA): 0.532
Forget vs Test Membership Inference Attack (MIA): 0.55
Test vs Retain Membership Inference Attack (MIA): 0.5085
Train vs Test Membership Inference Attack (MIA): 0.517
Forget Set Accuracy (Df): 86.78719329833984
Method Execution Time: 1061.69 seconds
