hello
hello

📌 Retain class distribution for seed 10:
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 10:
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: 2.3256	LR: 0.000000
Training Epoch: 1 [512/48750]	Loss: 2.3206	LR: 0.000524
Training Epoch: 1 [768/48750]	Loss: 2.3103	LR: 0.001047
Training Epoch: 1 [1024/48750]	Loss: 2.3062	LR: 0.001571
Training Epoch: 1 [1280/48750]	Loss: 2.3072	LR: 0.002094
Training Epoch: 1 [1536/48750]	Loss: 2.3122	LR: 0.002618
Training Epoch: 1 [1792/48750]	Loss: 2.2830	LR: 0.003141
Training Epoch: 1 [2048/48750]	Loss: 2.3066	LR: 0.003665
Training Epoch: 1 [2304/48750]	Loss: 2.2657	LR: 0.004188
Training Epoch: 1 [2560/48750]	Loss: 2.2509	LR: 0.004712
Training Epoch: 1 [2816/48750]	Loss: 2.2340	LR: 0.005236
Training Epoch: 1 [3072/48750]	Loss: 2.2232	LR: 0.005759
Training Epoch: 1 [3328/48750]	Loss: 2.2018	LR: 0.006283
Training Epoch: 1 [3584/48750]	Loss: 2.1733	LR: 0.006806
Training Epoch: 1 [3840/48750]	Loss: 2.1433	LR: 0.007330
Training Epoch: 1 [4096/48750]	Loss: 2.1463	LR: 0.007853
Training Epoch: 1 [4352/48750]	Loss: 2.1106	LR: 0.008377
Training Epoch: 1 [4608/48750]	Loss: 2.1016	LR: 0.008901
Training Epoch: 1 [4864/48750]	Loss: 2.1036	LR: 0.009424
Training Epoch: 1 [5120/48750]	Loss: 2.0535	LR: 0.009948
Training Epoch: 1 [5376/48750]	Loss: 2.0933	LR: 0.010471
Training Epoch: 1 [5632/48750]	Loss: 2.0649	LR: 0.010995
Training Epoch: 1 [5888/48750]	Loss: 2.0355	LR: 0.011518
Training Epoch: 1 [6144/48750]	Loss: 2.0013	LR: 0.012042
Training Epoch: 1 [6400/48750]	Loss: 1.9649	LR: 0.012565
Training Epoch: 1 [6656/48750]	Loss: 1.9388	LR: 0.013089
Training Epoch: 1 [6912/48750]	Loss: 2.0077	LR: 0.013613
Training Epoch: 1 [7168/48750]	Loss: 1.9455	LR: 0.014136
Training Epoch: 1 [7424/48750]	Loss: 1.9398	LR: 0.014660
Training Epoch: 1 [7680/48750]	Loss: 1.9557	LR: 0.015183
Training Epoch: 1 [7936/48750]	Loss: 1.9252	LR: 0.015707
Training Epoch: 1 [8192/48750]	Loss: 1.8447	LR: 0.016230
Training Epoch: 1 [8448/48750]	Loss: 1.8276	LR: 0.016754
Training Epoch: 1 [8704/48750]	Loss: 1.9235	LR: 0.017277
Training Epoch: 1 [8960/48750]	Loss: 1.9381	LR: 0.017801
Training Epoch: 1 [9216/48750]	Loss: 1.8312	LR: 0.018325
Training Epoch: 1 [9472/48750]	Loss: 1.7998	LR: 0.018848
Training Epoch: 1 [9728/48750]	Loss: 1.8230	LR: 0.019372
Training Epoch: 1 [9984/48750]	Loss: 1.8790	LR: 0.019895
Training Epoch: 1 [10240/48750]	Loss: 1.8538	LR: 0.020419
Training Epoch: 1 [10496/48750]	Loss: 1.8093	LR: 0.020942
Training Epoch: 1 [10752/48750]	Loss: 1.7867	LR: 0.021466
Training Epoch: 1 [11008/48750]	Loss: 1.7662	LR: 0.021990
Training Epoch: 1 [11264/48750]	Loss: 1.8531	LR: 0.022513
Training Epoch: 1 [11520/48750]	Loss: 1.8016	LR: 0.023037
Training Epoch: 1 [11776/48750]	Loss: 1.7591	LR: 0.023560
Training Epoch: 1 [12032/48750]	Loss: 1.8198	LR: 0.024084
Training Epoch: 1 [12288/48750]	Loss: 1.8370	LR: 0.024607
Training Epoch: 1 [12544/48750]	Loss: 1.8490	LR: 0.025131
Training Epoch: 1 [12800/48750]	Loss: 1.8400	LR: 0.025654
Training Epoch: 1 [13056/48750]	Loss: 1.7888	LR: 0.026178
Training Epoch: 1 [13312/48750]	Loss: 1.6679	LR: 0.026702
Training Epoch: 1 [13568/48750]	Loss: 1.7305	LR: 0.027225
Training Epoch: 1 [13824/48750]	Loss: 1.7125	LR: 0.027749
Training Epoch: 1 [14080/48750]	Loss: 1.7609	LR: 0.028272
Training Epoch: 1 [14336/48750]	Loss: 1.6871	LR: 0.028796
Training Epoch: 1 [14592/48750]	Loss: 1.7510	LR: 0.029319
Training Epoch: 1 [14848/48750]	Loss: 1.6912	LR: 0.029843
Training Epoch: 1 [15104/48750]	Loss: 1.7244	LR: 0.030366
Training Epoch: 1 [15360/48750]	Loss: 1.7140	LR: 0.030890
Training Epoch: 1 [15616/48750]	Loss: 1.7003	LR: 0.031414
Training Epoch: 1 [15872/48750]	Loss: 1.6233	LR: 0.031937
Training Epoch: 1 [16128/48750]	Loss: 1.6989	LR: 0.032461
Training Epoch: 1 [16384/48750]	Loss: 1.6911	LR: 0.032984
Training Epoch: 1 [16640/48750]	Loss: 1.5943	LR: 0.033508
Training Epoch: 1 [16896/48750]	Loss: 1.6323	LR: 0.034031
Training Epoch: 1 [17152/48750]	Loss: 1.6077	LR: 0.034555
Training Epoch: 1 [17408/48750]	Loss: 1.7240	LR: 0.035079
Training Epoch: 1 [17664/48750]	Loss: 1.5425	LR: 0.035602
Training Epoch: 1 [17920/48750]	Loss: 1.5617	LR: 0.036126
Training Epoch: 1 [18176/48750]	Loss: 1.6584	LR: 0.036649
Training Epoch: 1 [18432/48750]	Loss: 1.5795	LR: 0.037173
Training Epoch: 1 [18688/48750]	Loss: 1.6262	LR: 0.037696
Training Epoch: 1 [18944/48750]	Loss: 1.6414	LR: 0.038220
Training Epoch: 1 [19200/48750]	Loss: 1.6187	LR: 0.038743
Training Epoch: 1 [19456/48750]	Loss: 1.5448	LR: 0.039267
Training Epoch: 1 [19712/48750]	Loss: 1.6533	LR: 0.039791
Training Epoch: 1 [19968/48750]	Loss: 1.5598	LR: 0.040314
Training Epoch: 1 [20224/48750]	Loss: 1.6937	LR: 0.040838
Training Epoch: 1 [20480/48750]	Loss: 1.5351	LR: 0.041361
Training Epoch: 1 [20736/48750]	Loss: 1.5590	LR: 0.041885
Training Epoch: 1 [20992/48750]	Loss: 1.6329	LR: 0.042408
Training Epoch: 1 [21248/48750]	Loss: 1.6095	LR: 0.042932
Training Epoch: 1 [21504/48750]	Loss: 1.5451	LR: 0.043455
Training Epoch: 1 [21760/48750]	Loss: 1.5039	LR: 0.043979
Training Epoch: 1 [22016/48750]	Loss: 1.4995	LR: 0.044503
Training Epoch: 1 [22272/48750]	Loss: 1.6495	LR: 0.045026
Training Epoch: 1 [22528/48750]	Loss: 1.5889	LR: 0.045550
Training Epoch: 1 [22784/48750]	Loss: 1.6109	LR: 0.046073
Training Epoch: 1 [23040/48750]	Loss: 1.5283	LR: 0.046597
Training Epoch: 1 [23296/48750]	Loss: 1.6706	LR: 0.047120
Training Epoch: 1 [23552/48750]	Loss: 1.5200	LR: 0.047644
Training Epoch: 1 [23808/48750]	Loss: 1.6421	LR: 0.048168
Training Epoch: 1 [24064/48750]	Loss: 1.6075	LR: 0.048691
Training Epoch: 1 [24320/48750]	Loss: 1.5928	LR: 0.049215
Training Epoch: 1 [24576/48750]	Loss: 1.5260	LR: 0.049738
Training Epoch: 1 [24832/48750]	Loss: 1.5405	LR: 0.050262
Training Epoch: 1 [25088/48750]	Loss: 1.5925	LR: 0.050785
Training Epoch: 1 [25344/48750]	Loss: 1.5586	LR: 0.051309
Training Epoch: 1 [25600/48750]	Loss: 1.6204	LR: 0.051832
Training Epoch: 1 [25856/48750]	Loss: 1.4006	LR: 0.052356
Training Epoch: 1 [26112/48750]	Loss: 1.6348	LR: 0.052880
Training Epoch: 1 [26368/48750]	Loss: 1.5178	LR: 0.053403
Training Epoch: 1 [26624/48750]	Loss: 1.4468	LR: 0.053927
Training Epoch: 1 [26880/48750]	Loss: 1.5940	LR: 0.054450
Training Epoch: 1 [27136/48750]	Loss: 1.5063	LR: 0.054974
Training Epoch: 1 [27392/48750]	Loss: 1.4797	LR: 0.055497
Training Epoch: 1 [27648/48750]	Loss: 1.5452	LR: 0.056021
Training Epoch: 1 [27904/48750]	Loss: 1.4929	LR: 0.056545
Training Epoch: 1 [28160/48750]	Loss: 1.4952	LR: 0.057068
Training Epoch: 1 [28416/48750]	Loss: 1.4524	LR: 0.057592
Training Epoch: 1 [28672/48750]	Loss: 1.4681	LR: 0.058115
Training Epoch: 1 [28928/48750]	Loss: 1.4413	LR: 0.058639
Training Epoch: 1 [29184/48750]	Loss: 1.5792	LR: 0.059162
Training Epoch: 1 [29440/48750]	Loss: 1.4026	LR: 0.059686
Training Epoch: 1 [29696/48750]	Loss: 1.5004	LR: 0.060209
Training Epoch: 1 [29952/48750]	Loss: 1.5415	LR: 0.060733
Training Epoch: 1 [30208/48750]	Loss: 1.5874	LR: 0.061257
Training Epoch: 1 [30464/48750]	Loss: 1.4832	LR: 0.061780
Training Epoch: 1 [30720/48750]	Loss: 1.3577	LR: 0.062304
Training Epoch: 1 [30976/48750]	Loss: 1.3863	LR: 0.062827
Training Epoch: 1 [31232/48750]	Loss: 1.4456	LR: 0.063351
Training Epoch: 1 [31488/48750]	Loss: 1.3768	LR: 0.063874
Training Epoch: 1 [31744/48750]	Loss: 1.2930	LR: 0.064398
Training Epoch: 1 [32000/48750]	Loss: 1.3809	LR: 0.064921
Training Epoch: 1 [32256/48750]	Loss: 1.5593	LR: 0.065445
Training Epoch: 1 [32512/48750]	Loss: 1.3320	LR: 0.065969
Training Epoch: 1 [32768/48750]	Loss: 1.4249	LR: 0.066492
Training Epoch: 1 [33024/48750]	Loss: 1.3411	LR: 0.067016
Training Epoch: 1 [33280/48750]	Loss: 1.3830	LR: 0.067539
Training Epoch: 1 [33536/48750]	Loss: 1.4029	LR: 0.068063
Training Epoch: 1 [33792/48750]	Loss: 1.4613	LR: 0.068586
Training Epoch: 1 [34048/48750]	Loss: 1.4439	LR: 0.069110
Training Epoch: 1 [34304/48750]	Loss: 1.4230	LR: 0.069634
Training Epoch: 1 [34560/48750]	Loss: 1.4926	LR: 0.070157
Training Epoch: 1 [34816/48750]	Loss: 1.4636	LR: 0.070681
Training Epoch: 1 [35072/48750]	Loss: 1.3503	LR: 0.071204
Training Epoch: 1 [35328/48750]	Loss: 1.5401	LR: 0.071728
Training Epoch: 1 [35584/48750]	Loss: 1.4534	LR: 0.072251
Training Epoch: 1 [35840/48750]	Loss: 1.4184	LR: 0.072775
Training Epoch: 1 [36096/48750]	Loss: 1.5689	LR: 0.073298
Training Epoch: 1 [36352/48750]	Loss: 1.4017	LR: 0.073822
Training Epoch: 1 [36608/48750]	Loss: 1.4176	LR: 0.074346
Training Epoch: 1 [36864/48750]	Loss: 1.3544	LR: 0.074869
Training Epoch: 1 [37120/48750]	Loss: 1.4232	LR: 0.075393
Training Epoch: 1 [37376/48750]	Loss: 1.5747	LR: 0.075916
Training Epoch: 1 [37632/48750]	Loss: 1.5530	LR: 0.076440
Training Epoch: 1 [37888/48750]	Loss: 1.4870	LR: 0.076963
Training Epoch: 1 [38144/48750]	Loss: 1.4158	LR: 0.077487
Training Epoch: 1 [38400/48750]	Loss: 1.4906	LR: 0.078010
Training Epoch: 1 [38656/48750]	Loss: 1.4033	LR: 0.078534
Training Epoch: 1 [38912/48750]	Loss: 1.4534	LR: 0.079058
Training Epoch: 1 [39168/48750]	Loss: 1.4926	LR: 0.079581
Training Epoch: 1 [39424/48750]	Loss: 1.4298	LR: 0.080105
Training Epoch: 1 [39680/48750]	Loss: 1.5659	LR: 0.080628
Training Epoch: 1 [39936/48750]	Loss: 1.6075	LR: 0.081152
Training Epoch: 1 [40192/48750]	Loss: 1.4980	LR: 0.081675
Training Epoch: 1 [40448/48750]	Loss: 1.4554	LR: 0.082199
Training Epoch: 1 [40704/48750]	Loss: 1.5631	LR: 0.082723
Training Epoch: 1 [40960/48750]	Loss: 1.5408	LR: 0.083246
Training Epoch: 1 [41216/48750]	Loss: 1.4730	LR: 0.083770
Training Epoch: 1 [41472/48750]	Loss: 1.3754	LR: 0.084293
Training Epoch: 1 [41728/48750]	Loss: 1.4198	LR: 0.084817
Training Epoch: 1 [41984/48750]	Loss: 1.5173	LR: 0.085340
Training Epoch: 1 [42240/48750]	Loss: 1.4260	LR: 0.085864
Training Epoch: 1 [42496/48750]	Loss: 1.4945	LR: 0.086387
Training Epoch: 1 [42752/48750]	Loss: 1.4348	LR: 0.086911
Training Epoch: 1 [43008/48750]	Loss: 1.5625	LR: 0.087435
Training Epoch: 1 [43264/48750]	Loss: 1.4262	LR: 0.087958
Training Epoch: 1 [43520/48750]	Loss: 1.4195	LR: 0.088482
Training Epoch: 1 [43776/48750]	Loss: 1.4083	LR: 0.089005
Training Epoch: 1 [44032/48750]	Loss: 1.3329	LR: 0.089529
Training Epoch: 1 [44288/48750]	Loss: 1.4597	LR: 0.090052
Training Epoch: 1 [44544/48750]	Loss: 1.4101	LR: 0.090576
Training Epoch: 1 [44800/48750]	Loss: 1.2970	LR: 0.091099
Training Epoch: 1 [45056/48750]	Loss: 1.3618	LR: 0.091623
Training Epoch: 1 [45312/48750]	Loss: 1.4121	LR: 0.092147
Training Epoch: 1 [45568/48750]	Loss: 1.3086	LR: 0.092670
Training Epoch: 1 [45824/48750]	Loss: 1.3675	LR: 0.093194
Training Epoch: 1 [46080/48750]	Loss: 1.3031	LR: 0.093717
Training Epoch: 1 [46336/48750]	Loss: 1.2413	LR: 0.094241
Training Epoch: 1 [46592/48750]	Loss: 1.3537	LR: 0.094764
Training Epoch: 1 [46848/48750]	Loss: 1.3826	LR: 0.095288
Training Epoch: 1 [47104/48750]	Loss: 1.3944	LR: 0.095812
Training Epoch: 1 [47360/48750]	Loss: 1.3704	LR: 0.096335
Training Epoch: 1 [47616/48750]	Loss: 1.2893	LR: 0.096859
Training Epoch: 1 [47872/48750]	Loss: 1.2169	LR: 0.097382
Training Epoch: 1 [48128/48750]	Loss: 1.2908	LR: 0.097906
Training Epoch: 1 [48384/48750]	Loss: 1.4127	LR: 0.098429
Training Epoch: 1 [48640/48750]	Loss: 1.3594	LR: 0.098953
Training Epoch: 1 [48750/48750]	Loss: 1.3083	LR: 0.099476
Epoch 1 - Average Train Loss: 1.6415, Train Accuracy: 0.3903
Epoch 1 training time consumed: 27.75s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0096, Accuracy: 0.3521, Time consumed:1.06s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_11h_17m_52s/AllCNN-Cifar10-seed10-ret75-1-best.pth
Training Epoch: 2 [256/48750]	Loss: 1.3691	LR: 0.100000
Training Epoch: 2 [512/48750]	Loss: 1.4336	LR: 0.100000
Training Epoch: 2 [768/48750]	Loss: 1.3652	LR: 0.100000
Training Epoch: 2 [1024/48750]	Loss: 1.2888	LR: 0.100000
Training Epoch: 2 [1280/48750]	Loss: 1.4001	LR: 0.100000
Training Epoch: 2 [1536/48750]	Loss: 1.1863	LR: 0.100000
Training Epoch: 2 [1792/48750]	Loss: 1.3973	LR: 0.100000
Training Epoch: 2 [2048/48750]	Loss: 1.4522	LR: 0.100000
Training Epoch: 2 [2304/48750]	Loss: 1.2914	LR: 0.100000
Training Epoch: 2 [2560/48750]	Loss: 1.1618	LR: 0.100000
Training Epoch: 2 [2816/48750]	Loss: 1.3657	LR: 0.100000
Training Epoch: 2 [3072/48750]	Loss: 1.2984	LR: 0.100000
Training Epoch: 2 [3328/48750]	Loss: 1.3906	LR: 0.100000
Training Epoch: 2 [3584/48750]	Loss: 1.3938	LR: 0.100000
Training Epoch: 2 [3840/48750]	Loss: 1.1741	LR: 0.100000
Training Epoch: 2 [4096/48750]	Loss: 1.2990	LR: 0.100000
Training Epoch: 2 [4352/48750]	Loss: 1.3360	LR: 0.100000
Training Epoch: 2 [4608/48750]	Loss: 1.2103	LR: 0.100000
Training Epoch: 2 [4864/48750]	Loss: 1.3319	LR: 0.100000
Training Epoch: 2 [5120/48750]	Loss: 1.2285	LR: 0.100000
Training Epoch: 2 [5376/48750]	Loss: 1.4860	LR: 0.100000
Training Epoch: 2 [5632/48750]	Loss: 1.3204	LR: 0.100000
Training Epoch: 2 [5888/48750]	Loss: 1.2347	LR: 0.100000
Training Epoch: 2 [6144/48750]	Loss: 1.1862	LR: 0.100000
Training Epoch: 2 [6400/48750]	Loss: 1.2768	LR: 0.100000
Training Epoch: 2 [6656/48750]	Loss: 1.2563	LR: 0.100000
Training Epoch: 2 [6912/48750]	Loss: 1.1692	LR: 0.100000
Training Epoch: 2 [7168/48750]	Loss: 1.2156	LR: 0.100000
Training Epoch: 2 [7424/48750]	Loss: 1.2341	LR: 0.100000
Training Epoch: 2 [7680/48750]	Loss: 1.1823	LR: 0.100000
Training Epoch: 2 [7936/48750]	Loss: 1.2921	LR: 0.100000
Training Epoch: 2 [8192/48750]	Loss: 1.2257	LR: 0.100000
Training Epoch: 2 [8448/48750]	Loss: 1.2800	LR: 0.100000
Training Epoch: 2 [8704/48750]	Loss: 1.2484	LR: 0.100000
Training Epoch: 2 [8960/48750]	Loss: 1.1824	LR: 0.100000
Training Epoch: 2 [9216/48750]	Loss: 1.2929	LR: 0.100000
Training Epoch: 2 [9472/48750]	Loss: 1.1808	LR: 0.100000
Training Epoch: 2 [9728/48750]	Loss: 1.2485	LR: 0.100000
Training Epoch: 2 [9984/48750]	Loss: 1.2091	LR: 0.100000
Training Epoch: 2 [10240/48750]	Loss: 1.1504	LR: 0.100000
Training Epoch: 2 [10496/48750]	Loss: 1.1691	LR: 0.100000
Training Epoch: 2 [10752/48750]	Loss: 1.2527	LR: 0.100000
Training Epoch: 2 [11008/48750]	Loss: 1.3163	LR: 0.100000
Training Epoch: 2 [11264/48750]	Loss: 1.2372	LR: 0.100000
Training Epoch: 2 [11520/48750]	Loss: 1.2455	LR: 0.100000
Training Epoch: 2 [11776/48750]	Loss: 1.1433	LR: 0.100000
Training Epoch: 2 [12032/48750]	Loss: 1.2358	LR: 0.100000
Training Epoch: 2 [12288/48750]	Loss: 1.2989	LR: 0.100000
Training Epoch: 2 [12544/48750]	Loss: 1.2324	LR: 0.100000
Training Epoch: 2 [12800/48750]	Loss: 1.2007	LR: 0.100000
Training Epoch: 2 [13056/48750]	Loss: 1.1953	LR: 0.100000
Training Epoch: 2 [13312/48750]	Loss: 1.2361	LR: 0.100000
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Training Epoch: 2 [13824/48750]	Loss: 1.2301	LR: 0.100000
Training Epoch: 2 [14080/48750]	Loss: 1.1210	LR: 0.100000
Training Epoch: 2 [14336/48750]	Loss: 1.1929	LR: 0.100000
Training Epoch: 2 [14592/48750]	Loss: 1.3031	LR: 0.100000
Training Epoch: 2 [14848/48750]	Loss: 1.2043	LR: 0.100000
Training Epoch: 2 [15104/48750]	Loss: 1.2659	LR: 0.100000
Training Epoch: 2 [15360/48750]	Loss: 1.1367	LR: 0.100000
Training Epoch: 2 [15616/48750]	Loss: 1.2273	LR: 0.100000
Training Epoch: 2 [15872/48750]	Loss: 1.1672	LR: 0.100000
Training Epoch: 2 [16128/48750]	Loss: 1.2617	LR: 0.100000
Training Epoch: 2 [16384/48750]	Loss: 1.2244	LR: 0.100000
Training Epoch: 2 [16640/48750]	Loss: 1.1335	LR: 0.100000
Training Epoch: 2 [16896/48750]	Loss: 1.1700	LR: 0.100000
Training Epoch: 2 [17152/48750]	Loss: 1.3659	LR: 0.100000
Training Epoch: 2 [17408/48750]	Loss: 1.1363	LR: 0.100000
Training Epoch: 2 [17664/48750]	Loss: 1.0890	LR: 0.100000
Training Epoch: 2 [17920/48750]	Loss: 1.1104	LR: 0.100000
Training Epoch: 2 [18176/48750]	Loss: 1.0844	LR: 0.100000
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Training Epoch: 2 [18688/48750]	Loss: 1.2604	LR: 0.100000
Training Epoch: 2 [18944/48750]	Loss: 1.0680	LR: 0.100000
Training Epoch: 2 [19200/48750]	Loss: 1.2242	LR: 0.100000
Training Epoch: 2 [19456/48750]	Loss: 1.2021	LR: 0.100000
Training Epoch: 2 [19712/48750]	Loss: 1.2531	LR: 0.100000
Training Epoch: 2 [19968/48750]	Loss: 1.0611	LR: 0.100000
Training Epoch: 2 [20224/48750]	Loss: 1.1460	LR: 0.100000
Training Epoch: 2 [20480/48750]	Loss: 1.2083	LR: 0.100000
Training Epoch: 2 [20736/48750]	Loss: 1.2229	LR: 0.100000
Training Epoch: 2 [20992/48750]	Loss: 1.2498	LR: 0.100000
Training Epoch: 2 [21248/48750]	Loss: 1.2540	LR: 0.100000
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Training Epoch: 2 [48750/48750]	Loss: 1.1913	LR: 0.100000
Epoch 2 - Average Train Loss: 1.1674, Train Accuracy: 0.5761
Epoch 2 training time consumed: 26.92s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0043, Accuracy: 0.6215, Time consumed:0.95s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_11h_17m_52s/AllCNN-Cifar10-seed10-ret75-2-best.pth
Training Epoch: 3 [256/48750]	Loss: 0.9921	LR: 0.100000
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Training Epoch: 3 [48384/48750]	Loss: 0.9527	LR: 0.100000
Training Epoch: 3 [48640/48750]	Loss: 1.0108	LR: 0.100000
Training Epoch: 3 [48750/48750]	Loss: 0.8088	LR: 0.100000
Epoch 3 - Average Train Loss: 0.9606, Train Accuracy: 0.6602
Epoch 3 training time consumed: 26.96s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0044, Accuracy: 0.6157, Time consumed:0.90s
Training Epoch: 4 [256/48750]	Loss: 0.8666	LR: 0.100000
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Training Epoch: 4 [46336/48750]	Loss: 0.7873	LR: 0.100000
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Training Epoch: 4 [47104/48750]	Loss: 0.7549	LR: 0.100000
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Training Epoch: 4 [47616/48750]	Loss: 0.8053	LR: 0.100000
Training Epoch: 4 [47872/48750]	Loss: 0.8215	LR: 0.100000
Training Epoch: 4 [48128/48750]	Loss: 0.8119	LR: 0.100000
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Training Epoch: 4 [48640/48750]	Loss: 0.8246	LR: 0.100000
Training Epoch: 4 [48750/48750]	Loss: 0.8504	LR: 0.100000
Epoch 4 - Average Train Loss: 0.8415, Train Accuracy: 0.7054
Epoch 4 training time consumed: 26.94s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0036, Accuracy: 0.7025, Time consumed:0.94s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_11h_17m_52s/AllCNN-Cifar10-seed10-ret75-4-best.pth
Training Epoch: 5 [256/48750]	Loss: 0.6716	LR: 0.100000
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Training Epoch: 5 [46848/48750]	Loss: 0.7624	LR: 0.100000
Training Epoch: 5 [47104/48750]	Loss: 0.7410	LR: 0.100000
Training Epoch: 5 [47360/48750]	Loss: 0.7624	LR: 0.100000
Training Epoch: 5 [47616/48750]	Loss: 0.6923	LR: 0.100000
Training Epoch: 5 [47872/48750]	Loss: 0.8134	LR: 0.100000
Training Epoch: 5 [48128/48750]	Loss: 0.6990	LR: 0.100000
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Training Epoch: 5 [48750/48750]	Loss: 0.6364	LR: 0.100000
Epoch 5 - Average Train Loss: 0.7449, Train Accuracy: 0.7397
Epoch 5 training time consumed: 27.00s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0036, Accuracy: 0.7015, Time consumed:0.94s
Training Epoch: 6 [256/48750]	Loss: 0.7635	LR: 0.100000
Training Epoch: 6 [512/48750]	Loss: 0.6906	LR: 0.100000
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Training Epoch: 6 [47104/48750]	Loss: 0.6760	LR: 0.100000
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Training Epoch: 6 [47872/48750]	Loss: 0.7401	LR: 0.100000
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Training Epoch: 6 [48640/48750]	Loss: 0.7725	LR: 0.100000
Training Epoch: 6 [48750/48750]	Loss: 0.5913	LR: 0.100000
Epoch 6 - Average Train Loss: 0.6790, Train Accuracy: 0.7612
Epoch 6 training time consumed: 26.87s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0030, Accuracy: 0.7481, Time consumed:0.94s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_11h_17m_52s/AllCNN-Cifar10-seed10-ret75-6-best.pth
Training Epoch: 7 [256/48750]	Loss: 0.6701	LR: 0.100000
Training Epoch: 7 [512/48750]	Loss: 0.7441	LR: 0.100000
Training Epoch: 7 [768/48750]	Loss: 0.7789	LR: 0.100000
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Training Epoch: 7 [3328/48750]	Loss: 0.7281	LR: 0.100000
Training Epoch: 7 [3584/48750]	Loss: 0.6886	LR: 0.100000
Training Epoch: 7 [3840/48750]	Loss: 0.8616	LR: 0.100000
Training Epoch: 7 [4096/48750]	Loss: 0.7205	LR: 0.100000
Training Epoch: 7 [4352/48750]	Loss: 0.6249	LR: 0.100000
Training Epoch: 7 [4608/48750]	Loss: 0.7188	LR: 0.100000
Training Epoch: 7 [4864/48750]	Loss: 0.6805	LR: 0.100000
Training Epoch: 7 [5120/48750]	Loss: 0.7038	LR: 0.100000
Training Epoch: 7 [5376/48750]	Loss: 0.7187	LR: 0.100000
Training Epoch: 7 [5632/48750]	Loss: 0.5582	LR: 0.100000
Training Epoch: 7 [5888/48750]	Loss: 0.6657	LR: 0.100000
Training Epoch: 7 [6144/48750]	Loss: 0.6255	LR: 0.100000
Training Epoch: 7 [6400/48750]	Loss: 0.6140	LR: 0.100000
Training Epoch: 7 [6656/48750]	Loss: 0.6545	LR: 0.100000
Training Epoch: 7 [6912/48750]	Loss: 0.5670	LR: 0.100000
Training Epoch: 7 [7168/48750]	Loss: 0.6212	LR: 0.100000
Training Epoch: 7 [7424/48750]	Loss: 0.5071	LR: 0.100000
Training Epoch: 7 [7680/48750]	Loss: 0.6626	LR: 0.100000
Training Epoch: 7 [7936/48750]	Loss: 0.6943	LR: 0.100000
Training Epoch: 7 [8192/48750]	Loss: 0.6852	LR: 0.100000
Training Epoch: 7 [8448/48750]	Loss: 0.7037	LR: 0.100000
Training Epoch: 7 [8704/48750]	Loss: 0.5963	LR: 0.100000
Training Epoch: 7 [8960/48750]	Loss: 0.5895	LR: 0.100000
Training Epoch: 7 [9216/48750]	Loss: 0.5932	LR: 0.100000
Training Epoch: 7 [9472/48750]	Loss: 0.6729	LR: 0.100000
Training Epoch: 7 [9728/48750]	Loss: 0.5433	LR: 0.100000
Training Epoch: 7 [9984/48750]	Loss: 0.5434	LR: 0.100000
Training Epoch: 7 [10240/48750]	Loss: 0.6811	LR: 0.100000
Training Epoch: 7 [10496/48750]	Loss: 0.6261	LR: 0.100000
Training Epoch: 7 [10752/48750]	Loss: 0.6272	LR: 0.100000
Training Epoch: 7 [11008/48750]	Loss: 0.6179	LR: 0.100000
Training Epoch: 7 [11264/48750]	Loss: 0.6274	LR: 0.100000
Training Epoch: 7 [11520/48750]	Loss: 0.7311	LR: 0.100000
Training Epoch: 7 [11776/48750]	Loss: 0.6206	LR: 0.100000
Training Epoch: 7 [12032/48750]	Loss: 0.6757	LR: 0.100000
Training Epoch: 7 [12288/48750]	Loss: 0.6116	LR: 0.100000
Training Epoch: 7 [12544/48750]	Loss: 0.4820	LR: 0.100000
Training Epoch: 7 [12800/48750]	Loss: 0.4961	LR: 0.100000
Training Epoch: 7 [13056/48750]	Loss: 0.6598	LR: 0.100000
Training Epoch: 7 [13312/48750]	Loss: 0.5812	LR: 0.100000
Training Epoch: 7 [13568/48750]	Loss: 0.5757	LR: 0.100000
Training Epoch: 7 [13824/48750]	Loss: 0.5367	LR: 0.100000
Training Epoch: 7 [14080/48750]	Loss: 0.5779	LR: 0.100000
Training Epoch: 7 [14336/48750]	Loss: 0.7451	LR: 0.100000
Training Epoch: 7 [14592/48750]	Loss: 0.6798	LR: 0.100000
Training Epoch: 7 [14848/48750]	Loss: 0.5830	LR: 0.100000
Training Epoch: 7 [15104/48750]	Loss: 0.6757	LR: 0.100000
Training Epoch: 7 [15360/48750]	Loss: 0.6347	LR: 0.100000
Training Epoch: 7 [15616/48750]	Loss: 0.6727	LR: 0.100000
Training Epoch: 7 [15872/48750]	Loss: 0.6617	LR: 0.100000
Training Epoch: 7 [16128/48750]	Loss: 0.6381	LR: 0.100000
Training Epoch: 7 [16384/48750]	Loss: 0.6256	LR: 0.100000
Training Epoch: 7 [16640/48750]	Loss: 0.7360	LR: 0.100000
Training Epoch: 7 [16896/48750]	Loss: 0.5599	LR: 0.100000
Training Epoch: 7 [17152/48750]	Loss: 0.6511	LR: 0.100000
Training Epoch: 7 [17408/48750]	Loss: 0.7179	LR: 0.100000
Training Epoch: 7 [17664/48750]	Loss: 0.6391	LR: 0.100000
Training Epoch: 7 [17920/48750]	Loss: 0.7039	LR: 0.100000
Training Epoch: 7 [18176/48750]	Loss: 0.5371	LR: 0.100000
Training Epoch: 7 [18432/48750]	Loss: 0.7263	LR: 0.100000
Training Epoch: 7 [18688/48750]	Loss: 0.5925	LR: 0.100000
Training Epoch: 7 [18944/48750]	Loss: 0.6505	LR: 0.100000
Training Epoch: 7 [19200/48750]	Loss: 0.7898	LR: 0.100000
Training Epoch: 7 [19456/48750]	Loss: 0.6559	LR: 0.100000
Training Epoch: 7 [19712/48750]	Loss: 0.6593	LR: 0.100000
Training Epoch: 7 [19968/48750]	Loss: 0.6208	LR: 0.100000
Training Epoch: 7 [20224/48750]	Loss: 0.6676	LR: 0.100000
Training Epoch: 7 [20480/48750]	Loss: 0.6339	LR: 0.100000
Training Epoch: 7 [20736/48750]	Loss: 0.5923	LR: 0.100000
Training Epoch: 7 [20992/48750]	Loss: 0.4800	LR: 0.100000
Training Epoch: 7 [21248/48750]	Loss: 0.5876	LR: 0.100000
Training Epoch: 7 [21504/48750]	Loss: 0.6799	LR: 0.100000
Training Epoch: 7 [21760/48750]	Loss: 0.6111	LR: 0.100000
Training Epoch: 7 [22016/48750]	Loss: 0.6848	LR: 0.100000
Training Epoch: 7 [22272/48750]	Loss: 0.6286	LR: 0.100000
Training Epoch: 7 [22528/48750]	Loss: 0.5697	LR: 0.100000
Training Epoch: 7 [22784/48750]	Loss: 0.5725	LR: 0.100000
Training Epoch: 7 [23040/48750]	Loss: 0.6164	LR: 0.100000
Training Epoch: 7 [23296/48750]	Loss: 0.5547	LR: 0.100000
Training Epoch: 7 [23552/48750]	Loss: 0.5579	LR: 0.100000
Training Epoch: 7 [23808/48750]	Loss: 0.5361	LR: 0.100000
Training Epoch: 7 [24064/48750]	Loss: 0.5186	LR: 0.100000
Training Epoch: 7 [24320/48750]	Loss: 0.6868	LR: 0.100000
Training Epoch: 7 [24576/48750]	Loss: 0.6046	LR: 0.100000
Training Epoch: 7 [24832/48750]	Loss: 0.6438	LR: 0.100000
Training Epoch: 7 [25088/48750]	Loss: 0.7017	LR: 0.100000
Training Epoch: 7 [25344/48750]	Loss: 0.6134	LR: 0.100000
Training Epoch: 7 [25600/48750]	Loss: 0.6269	LR: 0.100000
Training Epoch: 7 [25856/48750]	Loss: 0.5857	LR: 0.100000
Training Epoch: 7 [26112/48750]	Loss: 0.6068	LR: 0.100000
Training Epoch: 7 [26368/48750]	Loss: 0.5543	LR: 0.100000
Training Epoch: 7 [26624/48750]	Loss: 0.5767	LR: 0.100000
Training Epoch: 7 [26880/48750]	Loss: 0.6163	LR: 0.100000
Training Epoch: 7 [27136/48750]	Loss: 0.5741	LR: 0.100000
Training Epoch: 7 [27392/48750]	Loss: 0.6052	LR: 0.100000
Training Epoch: 7 [27648/48750]	Loss: 0.5846	LR: 0.100000
Training Epoch: 7 [27904/48750]	Loss: 0.6941	LR: 0.100000
Training Epoch: 7 [28160/48750]	Loss: 0.6016	LR: 0.100000
Training Epoch: 7 [28416/48750]	Loss: 0.5587	LR: 0.100000
Training Epoch: 7 [28672/48750]	Loss: 0.6485	LR: 0.100000
Training Epoch: 7 [28928/48750]	Loss: 0.6738	LR: 0.100000
Training Epoch: 7 [29184/48750]	Loss: 0.7259	LR: 0.100000
Training Epoch: 7 [29440/48750]	Loss: 0.5808	LR: 0.100000
Training Epoch: 7 [29696/48750]	Loss: 0.6426	LR: 0.100000
Training Epoch: 7 [29952/48750]	Loss: 0.5540	LR: 0.100000
Training Epoch: 7 [30208/48750]	Loss: 0.5546	LR: 0.100000
Training Epoch: 7 [30464/48750]	Loss: 0.5739	LR: 0.100000
Training Epoch: 7 [30720/48750]	Loss: 0.5684	LR: 0.100000
Training Epoch: 7 [30976/48750]	Loss: 0.4906	LR: 0.100000
Training Epoch: 7 [31232/48750]	Loss: 0.5608	LR: 0.100000
Training Epoch: 7 [31488/48750]	Loss: 0.6512	LR: 0.100000
Training Epoch: 7 [31744/48750]	Loss: 0.7448	LR: 0.100000
Training Epoch: 7 [32000/48750]	Loss: 0.5942	LR: 0.100000
Training Epoch: 7 [32256/48750]	Loss: 0.6088	LR: 0.100000
Training Epoch: 7 [32512/48750]	Loss: 0.6217	LR: 0.100000
Training Epoch: 7 [32768/48750]	Loss: 0.5374	LR: 0.100000
Training Epoch: 7 [33024/48750]	Loss: 0.5538	LR: 0.100000
Training Epoch: 7 [33280/48750]	Loss: 0.6426	LR: 0.100000
Training Epoch: 7 [33536/48750]	Loss: 0.5999	LR: 0.100000
Training Epoch: 7 [33792/48750]	Loss: 0.5945	LR: 0.100000
Training Epoch: 7 [34048/48750]	Loss: 0.7379	LR: 0.100000
Training Epoch: 7 [34304/48750]	Loss: 0.7108	LR: 0.100000
Training Epoch: 7 [34560/48750]	Loss: 0.5767	LR: 0.100000
Training Epoch: 7 [34816/48750]	Loss: 0.6585	LR: 0.100000
Training Epoch: 7 [35072/48750]	Loss: 0.6872	LR: 0.100000
Training Epoch: 7 [35328/48750]	Loss: 0.7200	LR: 0.100000
Training Epoch: 7 [35584/48750]	Loss: 0.5914	LR: 0.100000
Training Epoch: 7 [35840/48750]	Loss: 0.6340	LR: 0.100000
Training Epoch: 7 [36096/48750]	Loss: 0.5511	LR: 0.100000
Training Epoch: 7 [36352/48750]	Loss: 0.6439	LR: 0.100000
Training Epoch: 7 [36608/48750]	Loss: 0.6599	LR: 0.100000
Training Epoch: 7 [36864/48750]	Loss: 0.5920	LR: 0.100000
Training Epoch: 7 [37120/48750]	Loss: 0.5995	LR: 0.100000
Training Epoch: 7 [37376/48750]	Loss: 0.5890	LR: 0.100000
Training Epoch: 7 [37632/48750]	Loss: 0.6324	LR: 0.100000
Training Epoch: 7 [37888/48750]	Loss: 0.6175	LR: 0.100000
Training Epoch: 7 [38144/48750]	Loss: 0.5157	LR: 0.100000
Training Epoch: 7 [38400/48750]	Loss: 0.8064	LR: 0.100000
Training Epoch: 7 [38656/48750]	Loss: 0.6316	LR: 0.100000
Training Epoch: 7 [38912/48750]	Loss: 0.6157	LR: 0.100000
Training Epoch: 7 [39168/48750]	Loss: 0.5187	LR: 0.100000
Training Epoch: 7 [39424/48750]	Loss: 0.5832	LR: 0.100000
Training Epoch: 7 [39680/48750]	Loss: 0.7993	LR: 0.100000
Training Epoch: 7 [39936/48750]	Loss: 0.5509	LR: 0.100000
Training Epoch: 7 [40192/48750]	Loss: 0.6191	LR: 0.100000
Training Epoch: 7 [40448/48750]	Loss: 0.5715	LR: 0.100000
Training Epoch: 7 [40704/48750]	Loss: 0.5132	LR: 0.100000
Training Epoch: 7 [40960/48750]	Loss: 0.6039	LR: 0.100000
Training Epoch: 7 [41216/48750]	Loss: 0.6432	LR: 0.100000
Training Epoch: 7 [41472/48750]	Loss: 0.6941	LR: 0.100000
Training Epoch: 7 [41728/48750]	Loss: 0.6516	LR: 0.100000
Training Epoch: 7 [41984/48750]	Loss: 0.6431	LR: 0.100000
Training Epoch: 7 [42240/48750]	Loss: 0.5338	LR: 0.100000
Training Epoch: 7 [42496/48750]	Loss: 0.5753	LR: 0.100000
Training Epoch: 7 [42752/48750]	Loss: 0.5770	LR: 0.100000
Training Epoch: 7 [43008/48750]	Loss: 0.5982	LR: 0.100000
Training Epoch: 7 [43264/48750]	Loss: 0.6398	LR: 0.100000
Training Epoch: 7 [43520/48750]	Loss: 0.6066	LR: 0.100000
Training Epoch: 7 [43776/48750]	Loss: 0.6242	LR: 0.100000
Training Epoch: 7 [44032/48750]	Loss: 0.6122	LR: 0.100000
Training Epoch: 7 [44288/48750]	Loss: 0.6409	LR: 0.100000
Training Epoch: 7 [44544/48750]	Loss: 0.5190	LR: 0.100000
Training Epoch: 7 [44800/48750]	Loss: 0.5326	LR: 0.100000
Training Epoch: 7 [45056/48750]	Loss: 0.6224	LR: 0.100000
Training Epoch: 7 [45312/48750]	Loss: 0.6117	LR: 0.100000
Training Epoch: 7 [45568/48750]	Loss: 0.4556	LR: 0.100000
Training Epoch: 7 [45824/48750]	Loss: 0.6853	LR: 0.100000
Training Epoch: 7 [46080/48750]	Loss: 0.6842	LR: 0.100000
Training Epoch: 7 [46336/48750]	Loss: 0.6324	LR: 0.100000
Training Epoch: 7 [46592/48750]	Loss: 0.4796	LR: 0.100000
Training Epoch: 7 [46848/48750]	Loss: 0.5877	LR: 0.100000
Training Epoch: 7 [47104/48750]	Loss: 0.6098	LR: 0.100000
Training Epoch: 7 [47360/48750]	Loss: 0.7653	LR: 0.100000
Training Epoch: 7 [47616/48750]	Loss: 0.6217	LR: 0.100000
Training Epoch: 7 [47872/48750]	Loss: 0.6681	LR: 0.100000
Training Epoch: 7 [48128/48750]	Loss: 0.6621	LR: 0.100000
Training Epoch: 7 [48384/48750]	Loss: 0.6392	LR: 0.100000
Training Epoch: 7 [48640/48750]	Loss: 0.6906	LR: 0.100000
Training Epoch: 7 [48750/48750]	Loss: 0.5598	LR: 0.100000
Epoch 7 - Average Train Loss: 0.6266, Train Accuracy: 0.7835
Epoch 7 training time consumed: 26.98s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0061, Accuracy: 0.6256, Time consumed:0.91s
Training Epoch: 8 [256/48750]	Loss: 0.5821	LR: 0.020000
Training Epoch: 8 [512/48750]	Loss: 0.6609	LR: 0.020000
Training Epoch: 8 [768/48750]	Loss: 0.5652	LR: 0.020000
Training Epoch: 8 [1024/48750]	Loss: 0.6876	LR: 0.020000
Training Epoch: 8 [1280/48750]	Loss: 0.5804	LR: 0.020000
Training Epoch: 8 [1536/48750]	Loss: 0.6013	LR: 0.020000
Training Epoch: 8 [1792/48750]	Loss: 0.5407	LR: 0.020000
Training Epoch: 8 [2048/48750]	Loss: 0.5976	LR: 0.020000
Training Epoch: 8 [2304/48750]	Loss: 0.5556	LR: 0.020000
Training Epoch: 8 [2560/48750]	Loss: 0.6333	LR: 0.020000
Training Epoch: 8 [2816/48750]	Loss: 0.5589	LR: 0.020000
Training Epoch: 8 [3072/48750]	Loss: 0.6566	LR: 0.020000
Training Epoch: 8 [3328/48750]	Loss: 0.5022	LR: 0.020000
Training Epoch: 8 [3584/48750]	Loss: 0.5659	LR: 0.020000
Training Epoch: 8 [3840/48750]	Loss: 0.5137	LR: 0.020000
Training Epoch: 8 [4096/48750]	Loss: 0.4542	LR: 0.020000
Training Epoch: 8 [4352/48750]	Loss: 0.4951	LR: 0.020000
Training Epoch: 8 [4608/48750]	Loss: 0.6075	LR: 0.020000
Training Epoch: 8 [4864/48750]	Loss: 0.4583	LR: 0.020000
Training Epoch: 8 [5120/48750]	Loss: 0.4895	LR: 0.020000
Training Epoch: 8 [5376/48750]	Loss: 0.4536	LR: 0.020000
Training Epoch: 8 [5632/48750]	Loss: 0.4042	LR: 0.020000
Training Epoch: 8 [5888/48750]	Loss: 0.5119	LR: 0.020000
Training Epoch: 8 [6144/48750]	Loss: 0.4883	LR: 0.020000
Training Epoch: 8 [6400/48750]	Loss: 0.4887	LR: 0.020000
Training Epoch: 8 [6656/48750]	Loss: 0.5788	LR: 0.020000
Training Epoch: 8 [6912/48750]	Loss: 0.4776	LR: 0.020000
Training Epoch: 8 [7168/48750]	Loss: 0.5392	LR: 0.020000
Training Epoch: 8 [7424/48750]	Loss: 0.4899	LR: 0.020000
Training Epoch: 8 [7680/48750]	Loss: 0.4387	LR: 0.020000
Training Epoch: 8 [7936/48750]	Loss: 0.5310	LR: 0.020000
Training Epoch: 8 [8192/48750]	Loss: 0.4485	LR: 0.020000
Training Epoch: 8 [8448/48750]	Loss: 0.5875	LR: 0.020000
Training Epoch: 8 [8704/48750]	Loss: 0.5260	LR: 0.020000
Training Epoch: 8 [8960/48750]	Loss: 0.5023	LR: 0.020000
Training Epoch: 8 [9216/48750]	Loss: 0.4438	LR: 0.020000
Training Epoch: 8 [9472/48750]	Loss: 0.5149	LR: 0.020000
Training Epoch: 8 [9728/48750]	Loss: 0.5715	LR: 0.020000
Training Epoch: 8 [9984/48750]	Loss: 0.4190	LR: 0.020000
Training Epoch: 8 [10240/48750]	Loss: 0.4084	LR: 0.020000
Training Epoch: 8 [10496/48750]	Loss: 0.4592	LR: 0.020000
Training Epoch: 8 [10752/48750]	Loss: 0.4556	LR: 0.020000
Training Epoch: 8 [11008/48750]	Loss: 0.4952	LR: 0.020000
Training Epoch: 8 [11264/48750]	Loss: 0.6352	LR: 0.020000
Training Epoch: 8 [11520/48750]	Loss: 0.4210	LR: 0.020000
Training Epoch: 8 [11776/48750]	Loss: 0.4816	LR: 0.020000
Training Epoch: 8 [12032/48750]	Loss: 0.4933	LR: 0.020000
Training Epoch: 8 [12288/48750]	Loss: 0.4576	LR: 0.020000
Training Epoch: 8 [12544/48750]	Loss: 0.3749	LR: 0.020000
Training Epoch: 8 [12800/48750]	Loss: 0.4977	LR: 0.020000
Training Epoch: 8 [13056/48750]	Loss: 0.4081	LR: 0.020000
Training Epoch: 8 [13312/48750]	Loss: 0.4681	LR: 0.020000
Training Epoch: 8 [13568/48750]	Loss: 0.5136	LR: 0.020000
Training Epoch: 8 [13824/48750]	Loss: 0.4822	LR: 0.020000
Training Epoch: 8 [14080/48750]	Loss: 0.4740	LR: 0.020000
Training Epoch: 8 [14336/48750]	Loss: 0.4863	LR: 0.020000
Training Epoch: 8 [14592/48750]	Loss: 0.4249	LR: 0.020000
Training Epoch: 8 [14848/48750]	Loss: 0.4341	LR: 0.020000
Training Epoch: 8 [15104/48750]	Loss: 0.6381	LR: 0.020000
Training Epoch: 8 [15360/48750]	Loss: 0.4057	LR: 0.020000
Training Epoch: 8 [15616/48750]	Loss: 0.4696	LR: 0.020000
Training Epoch: 8 [15872/48750]	Loss: 0.4251	LR: 0.020000
Training Epoch: 8 [16128/48750]	Loss: 0.5223	LR: 0.020000
Training Epoch: 8 [16384/48750]	Loss: 0.6010	LR: 0.020000
Training Epoch: 8 [16640/48750]	Loss: 0.4384	LR: 0.020000
Training Epoch: 8 [16896/48750]	Loss: 0.4550	LR: 0.020000
Training Epoch: 8 [17152/48750]	Loss: 0.4079	LR: 0.020000
Training Epoch: 8 [17408/48750]	Loss: 0.4345	LR: 0.020000
Training Epoch: 8 [17664/48750]	Loss: 0.4211	LR: 0.020000
Training Epoch: 8 [17920/48750]	Loss: 0.4927	LR: 0.020000
Training Epoch: 8 [18176/48750]	Loss: 0.4077	LR: 0.020000
Training Epoch: 8 [18432/48750]	Loss: 0.5043	LR: 0.020000
Training Epoch: 8 [18688/48750]	Loss: 0.4916	LR: 0.020000
Training Epoch: 8 [18944/48750]	Loss: 0.4745	LR: 0.020000
Training Epoch: 8 [19200/48750]	Loss: 0.5327	LR: 0.020000
Training Epoch: 8 [19456/48750]	Loss: 0.5805	LR: 0.020000
Training Epoch: 8 [19712/48750]	Loss: 0.4794	LR: 0.020000
Training Epoch: 8 [19968/48750]	Loss: 0.4454	LR: 0.020000
Training Epoch: 8 [20224/48750]	Loss: 0.3672	LR: 0.020000
Training Epoch: 8 [20480/48750]	Loss: 0.5609	LR: 0.020000
Training Epoch: 8 [20736/48750]	Loss: 0.5360	LR: 0.020000
Training Epoch: 8 [20992/48750]	Loss: 0.4449	LR: 0.020000
Training Epoch: 8 [21248/48750]	Loss: 0.5607	LR: 0.020000
Training Epoch: 8 [21504/48750]	Loss: 0.4085	LR: 0.020000
Training Epoch: 8 [21760/48750]	Loss: 0.4276	LR: 0.020000
Training Epoch: 8 [22016/48750]	Loss: 0.4239	LR: 0.020000
Training Epoch: 8 [22272/48750]	Loss: 0.4457	LR: 0.020000
Training Epoch: 8 [22528/48750]	Loss: 0.4821	LR: 0.020000
Training Epoch: 8 [22784/48750]	Loss: 0.4426	LR: 0.020000
Training Epoch: 8 [23040/48750]	Loss: 0.4873	LR: 0.020000
Training Epoch: 8 [23296/48750]	Loss: 0.4624	LR: 0.020000
Training Epoch: 8 [23552/48750]	Loss: 0.4681	LR: 0.020000
Training Epoch: 8 [23808/48750]	Loss: 0.5203	LR: 0.020000
Training Epoch: 8 [24064/48750]	Loss: 0.3734	LR: 0.020000
Training Epoch: 8 [24320/48750]	Loss: 0.4685	LR: 0.020000
Training Epoch: 8 [24576/48750]	Loss: 0.4554	LR: 0.020000
Training Epoch: 8 [24832/48750]	Loss: 0.5250	LR: 0.020000
Training Epoch: 8 [25088/48750]	Loss: 0.4784	LR: 0.020000
Training Epoch: 8 [25344/48750]	Loss: 0.5136	LR: 0.020000
Training Epoch: 8 [25600/48750]	Loss: 0.5864	LR: 0.020000
Training Epoch: 8 [25856/48750]	Loss: 0.4029	LR: 0.020000
Training Epoch: 8 [26112/48750]	Loss: 0.5487	LR: 0.020000
Training Epoch: 8 [26368/48750]	Loss: 0.5044	LR: 0.020000
Training Epoch: 8 [26624/48750]	Loss: 0.5115	LR: 0.020000
Training Epoch: 8 [26880/48750]	Loss: 0.3622	LR: 0.020000
Training Epoch: 8 [27136/48750]	Loss: 0.5171	LR: 0.020000
Training Epoch: 8 [27392/48750]	Loss: 0.4628	LR: 0.020000
Training Epoch: 8 [27648/48750]	Loss: 0.4937	LR: 0.020000
Training Epoch: 8 [27904/48750]	Loss: 0.4891	LR: 0.020000
Training Epoch: 8 [28160/48750]	Loss: 0.4614	LR: 0.020000
Training Epoch: 8 [28416/48750]	Loss: 0.5149	LR: 0.020000
Training Epoch: 8 [28672/48750]	Loss: 0.4433	LR: 0.020000
Training Epoch: 8 [28928/48750]	Loss: 0.4898	LR: 0.020000
Training Epoch: 8 [29184/48750]	Loss: 0.4867	LR: 0.020000
Training Epoch: 8 [29440/48750]	Loss: 0.4617	LR: 0.020000
Training Epoch: 8 [29696/48750]	Loss: 0.4455	LR: 0.020000
Training Epoch: 8 [29952/48750]	Loss: 0.5163	LR: 0.020000
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Training Epoch: 8 [45056/48750]	Loss: 0.5371	LR: 0.020000
Training Epoch: 8 [45312/48750]	Loss: 0.4489	LR: 0.020000
Training Epoch: 8 [45568/48750]	Loss: 0.4160	LR: 0.020000
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Training Epoch: 8 [46080/48750]	Loss: 0.5575	LR: 0.020000
Training Epoch: 8 [46336/48750]	Loss: 0.4365	LR: 0.020000
Training Epoch: 8 [46592/48750]	Loss: 0.3750	LR: 0.020000
Training Epoch: 8 [46848/48750]	Loss: 0.4714	LR: 0.020000
Training Epoch: 8 [47104/48750]	Loss: 0.5063	LR: 0.020000
Training Epoch: 8 [47360/48750]	Loss: 0.4438	LR: 0.020000
Training Epoch: 8 [47616/48750]	Loss: 0.5162	LR: 0.020000
Training Epoch: 8 [47872/48750]	Loss: 0.4368	LR: 0.020000
Training Epoch: 8 [48128/48750]	Loss: 0.4213	LR: 0.020000
Training Epoch: 8 [48384/48750]	Loss: 0.4337	LR: 0.020000
Training Epoch: 8 [48640/48750]	Loss: 0.4813	LR: 0.020000
Training Epoch: 8 [48750/48750]	Loss: 0.6603	LR: 0.020000
Epoch 8 - Average Train Loss: 0.4824, Train Accuracy: 0.8340
Epoch 8 training time consumed: 26.97s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0020, Accuracy: 0.8324, Time consumed:0.92s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_11h_17m_52s/AllCNN-Cifar10-seed10-ret75-8-best.pth
Training Epoch: 9 [256/48750]	Loss: 0.4496	LR: 0.020000
Training Epoch: 9 [512/48750]	Loss: 0.4630	LR: 0.020000
Training Epoch: 9 [768/48750]	Loss: 0.4075	LR: 0.020000
Training Epoch: 9 [1024/48750]	Loss: 0.4614	LR: 0.020000
Training Epoch: 9 [1280/48750]	Loss: 0.3755	LR: 0.020000
Training Epoch: 9 [1536/48750]	Loss: 0.3954	LR: 0.020000
Training Epoch: 9 [1792/48750]	Loss: 0.3544	LR: 0.020000
Training Epoch: 9 [2048/48750]	Loss: 0.4384	LR: 0.020000
Training Epoch: 9 [2304/48750]	Loss: 0.3990	LR: 0.020000
Training Epoch: 9 [2560/48750]	Loss: 0.3419	LR: 0.020000
Training Epoch: 9 [2816/48750]	Loss: 0.4650	LR: 0.020000
Training Epoch: 9 [3072/48750]	Loss: 0.3567	LR: 0.020000
Training Epoch: 9 [3328/48750]	Loss: 0.4053	LR: 0.020000
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Training Epoch: 9 [4608/48750]	Loss: 0.3885	LR: 0.020000
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Training Epoch: 9 [45056/48750]	Loss: 0.3393	LR: 0.020000
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Training Epoch: 9 [46336/48750]	Loss: 0.3778	LR: 0.020000
Training Epoch: 9 [46592/48750]	Loss: 0.3736	LR: 0.020000
Training Epoch: 9 [46848/48750]	Loss: 0.3563	LR: 0.020000
Training Epoch: 9 [47104/48750]	Loss: 0.3814	LR: 0.020000
Training Epoch: 9 [47360/48750]	Loss: 0.5042	LR: 0.020000
Training Epoch: 9 [47616/48750]	Loss: 0.2804	LR: 0.020000
Training Epoch: 9 [47872/48750]	Loss: 0.5430	LR: 0.020000
Training Epoch: 9 [48128/48750]	Loss: 0.3858	LR: 0.020000
Training Epoch: 9 [48384/48750]	Loss: 0.4796	LR: 0.020000
Training Epoch: 9 [48640/48750]	Loss: 0.4953	LR: 0.020000
Training Epoch: 9 [48750/48750]	Loss: 0.3597	LR: 0.020000
Epoch 9 - Average Train Loss: 0.4338, Train Accuracy: 0.8517
Epoch 9 training time consumed: 26.96s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0017, Accuracy: 0.8531, Time consumed:0.96s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_11h_17m_52s/AllCNN-Cifar10-seed10-ret75-9-best.pth
Training Epoch: 10 [256/48750]	Loss: 0.4300	LR: 0.020000
Training Epoch: 10 [512/48750]	Loss: 0.3539	LR: 0.020000
Training Epoch: 10 [768/48750]	Loss: 0.4878	LR: 0.020000
Training Epoch: 10 [1024/48750]	Loss: 0.2932	LR: 0.020000
Training Epoch: 10 [1280/48750]	Loss: 0.5426	LR: 0.020000
Training Epoch: 10 [1536/48750]	Loss: 0.3809	LR: 0.020000
Training Epoch: 10 [1792/48750]	Loss: 0.4176	LR: 0.020000
Training Epoch: 10 [2048/48750]	Loss: 0.3840	LR: 0.020000
Training Epoch: 10 [2304/48750]	Loss: 0.4132	LR: 0.020000
Training Epoch: 10 [2560/48750]	Loss: 0.4353	LR: 0.020000
Training Epoch: 10 [2816/48750]	Loss: 0.3996	LR: 0.020000
Training Epoch: 10 [3072/48750]	Loss: 0.4052	LR: 0.020000
Training Epoch: 10 [3328/48750]	Loss: 0.4011	LR: 0.020000
Training Epoch: 10 [3584/48750]	Loss: 0.4827	LR: 0.020000
Training Epoch: 10 [3840/48750]	Loss: 0.4278	LR: 0.020000
Training Epoch: 10 [4096/48750]	Loss: 0.5076	LR: 0.020000
Training Epoch: 10 [4352/48750]	Loss: 0.4672	LR: 0.020000
Training Epoch: 10 [4608/48750]	Loss: 0.4476	LR: 0.020000
Training Epoch: 10 [4864/48750]	Loss: 0.3372	LR: 0.020000
Training Epoch: 10 [5120/48750]	Loss: 0.4482	LR: 0.020000
Training Epoch: 10 [5376/48750]	Loss: 0.4431	LR: 0.020000
Training Epoch: 10 [5632/48750]	Loss: 0.4627	LR: 0.020000
Training Epoch: 10 [5888/48750]	Loss: 0.4045	LR: 0.020000
Training Epoch: 10 [6144/48750]	Loss: 0.3953	LR: 0.020000
Training Epoch: 10 [6400/48750]	Loss: 0.3944	LR: 0.020000
Training Epoch: 10 [6656/48750]	Loss: 0.4082	LR: 0.020000
Training Epoch: 10 [6912/48750]	Loss: 0.3837	LR: 0.020000
Training Epoch: 10 [7168/48750]	Loss: 0.3687	LR: 0.020000
Training Epoch: 10 [7424/48750]	Loss: 0.4131	LR: 0.020000
Training Epoch: 10 [7680/48750]	Loss: 0.3943	LR: 0.020000
Training Epoch: 10 [7936/48750]	Loss: 0.4851	LR: 0.020000
Training Epoch: 10 [8192/48750]	Loss: 0.4212	LR: 0.020000
Training Epoch: 10 [8448/48750]	Loss: 0.4157	LR: 0.020000
Training Epoch: 10 [8704/48750]	Loss: 0.4520	LR: 0.020000
Training Epoch: 10 [8960/48750]	Loss: 0.4185	LR: 0.020000
Training Epoch: 10 [9216/48750]	Loss: 0.4125	LR: 0.020000
Training Epoch: 10 [9472/48750]	Loss: 0.4524	LR: 0.020000
Training Epoch: 10 [9728/48750]	Loss: 0.4369	LR: 0.020000
Training Epoch: 10 [9984/48750]	Loss: 0.4823	LR: 0.020000
Training Epoch: 10 [10240/48750]	Loss: 0.3780	LR: 0.020000
Training Epoch: 10 [10496/48750]	Loss: 0.4241	LR: 0.020000
Training Epoch: 10 [10752/48750]	Loss: 0.3507	LR: 0.020000
Training Epoch: 10 [11008/48750]	Loss: 0.4780	LR: 0.020000
Training Epoch: 10 [11264/48750]	Loss: 0.4881	LR: 0.020000
Training Epoch: 10 [11520/48750]	Loss: 0.3982	LR: 0.020000
Training Epoch: 10 [11776/48750]	Loss: 0.3466	LR: 0.020000
Training Epoch: 10 [12032/48750]	Loss: 0.3941	LR: 0.020000
Training Epoch: 10 [12288/48750]	Loss: 0.4681	LR: 0.020000
Training Epoch: 10 [12544/48750]	Loss: 0.3568	LR: 0.020000
Training Epoch: 10 [12800/48750]	Loss: 0.4187	LR: 0.020000
Training Epoch: 10 [13056/48750]	Loss: 0.3630	LR: 0.020000
Training Epoch: 10 [13312/48750]	Loss: 0.3991	LR: 0.020000
Training Epoch: 10 [13568/48750]	Loss: 0.3777	LR: 0.020000
Training Epoch: 10 [13824/48750]	Loss: 0.4051	LR: 0.020000
Training Epoch: 10 [14080/48750]	Loss: 0.4234	LR: 0.020000
Training Epoch: 10 [14336/48750]	Loss: 0.3912	LR: 0.020000
Training Epoch: 10 [14592/48750]	Loss: 0.3111	LR: 0.020000
Training Epoch: 10 [14848/48750]	Loss: 0.3998	LR: 0.020000
Training Epoch: 10 [15104/48750]	Loss: 0.3815	LR: 0.020000
Training Epoch: 10 [15360/48750]	Loss: 0.3923	LR: 0.020000
Training Epoch: 10 [15616/48750]	Loss: 0.3772	LR: 0.020000
Training Epoch: 10 [15872/48750]	Loss: 0.5103	LR: 0.020000
Training Epoch: 10 [16128/48750]	Loss: 0.3901	LR: 0.020000
Training Epoch: 10 [16384/48750]	Loss: 0.3234	LR: 0.020000
Training Epoch: 10 [16640/48750]	Loss: 0.3555	LR: 0.020000
Training Epoch: 10 [16896/48750]	Loss: 0.4551	LR: 0.020000
Training Epoch: 10 [17152/48750]	Loss: 0.3991	LR: 0.020000
Training Epoch: 10 [17408/48750]	Loss: 0.3993	LR: 0.020000
Training Epoch: 10 [17664/48750]	Loss: 0.4896	LR: 0.020000
Training Epoch: 10 [17920/48750]	Loss: 0.4266	LR: 0.020000
Training Epoch: 10 [18176/48750]	Loss: 0.3863	LR: 0.020000
Training Epoch: 10 [18432/48750]	Loss: 0.5101	LR: 0.020000
Training Epoch: 10 [18688/48750]	Loss: 0.3751	LR: 0.020000
Training Epoch: 10 [18944/48750]	Loss: 0.4752	LR: 0.020000
Training Epoch: 10 [19200/48750]	Loss: 0.3982	LR: 0.020000
Training Epoch: 10 [19456/48750]	Loss: 0.3778	LR: 0.020000
Training Epoch: 10 [19712/48750]	Loss: 0.4663	LR: 0.020000
Training Epoch: 10 [19968/48750]	Loss: 0.3918	LR: 0.020000
Training Epoch: 10 [20224/48750]	Loss: 0.3898	LR: 0.020000
Training Epoch: 10 [20480/48750]	Loss: 0.3845	LR: 0.020000
Training Epoch: 10 [20736/48750]	Loss: 0.4120	LR: 0.020000
Training Epoch: 10 [20992/48750]	Loss: 0.4162	LR: 0.020000
Training Epoch: 10 [21248/48750]	Loss: 0.4318	LR: 0.020000
Training Epoch: 10 [21504/48750]	Loss: 0.4728	LR: 0.020000
Training Epoch: 10 [21760/48750]	Loss: 0.4528	LR: 0.020000
Training Epoch: 10 [22016/48750]	Loss: 0.4413	LR: 0.020000
Training Epoch: 10 [22272/48750]	Loss: 0.3690	LR: 0.020000
Training Epoch: 10 [22528/48750]	Loss: 0.4369	LR: 0.020000
Training Epoch: 10 [22784/48750]	Loss: 0.5055	LR: 0.020000
Training Epoch: 10 [23040/48750]	Loss: 0.4425	LR: 0.020000
Training Epoch: 10 [23296/48750]	Loss: 0.4642	LR: 0.020000
Training Epoch: 10 [23552/48750]	Loss: 0.3831	LR: 0.020000
Training Epoch: 10 [23808/48750]	Loss: 0.4718	LR: 0.020000
Training Epoch: 10 [24064/48750]	Loss: 0.4041	LR: 0.020000
Training Epoch: 10 [24320/48750]	Loss: 0.3487	LR: 0.020000
Training Epoch: 10 [24576/48750]	Loss: 0.4641	LR: 0.020000
Training Epoch: 10 [24832/48750]	Loss: 0.3990	LR: 0.020000
Training Epoch: 10 [25088/48750]	Loss: 0.3403	LR: 0.020000
Training Epoch: 10 [25344/48750]	Loss: 0.3677	LR: 0.020000
Training Epoch: 10 [25600/48750]	Loss: 0.4206	LR: 0.020000
Training Epoch: 10 [25856/48750]	Loss: 0.4169	LR: 0.020000
Training Epoch: 10 [26112/48750]	Loss: 0.4522	LR: 0.020000
Training Epoch: 10 [26368/48750]	Loss: 0.3604	LR: 0.020000
Training Epoch: 10 [26624/48750]	Loss: 0.3495	LR: 0.020000
Training Epoch: 10 [26880/48750]	Loss: 0.4349	LR: 0.020000
Training Epoch: 10 [27136/48750]	Loss: 0.4194	LR: 0.020000
Training Epoch: 10 [27392/48750]	Loss: 0.4322	LR: 0.020000
Training Epoch: 10 [27648/48750]	Loss: 0.4965	LR: 0.020000
Training Epoch: 10 [27904/48750]	Loss: 0.3613	LR: 0.020000
Training Epoch: 10 [28160/48750]	Loss: 0.3771	LR: 0.020000
Training Epoch: 10 [28416/48750]	Loss: 0.3747	LR: 0.020000
Training Epoch: 10 [28672/48750]	Loss: 0.4227	LR: 0.020000
Training Epoch: 10 [28928/48750]	Loss: 0.4077	LR: 0.020000
Training Epoch: 10 [29184/48750]	Loss: 0.5004	LR: 0.020000
Training Epoch: 10 [29440/48750]	Loss: 0.4339	LR: 0.020000
Training Epoch: 10 [29696/48750]	Loss: 0.4274	LR: 0.020000
Training Epoch: 10 [29952/48750]	Loss: 0.3911	LR: 0.020000
Training Epoch: 10 [30208/48750]	Loss: 0.3833	LR: 0.020000
Training Epoch: 10 [30464/48750]	Loss: 0.4160	LR: 0.020000
Training Epoch: 10 [30720/48750]	Loss: 0.4460	LR: 0.020000
Training Epoch: 10 [30976/48750]	Loss: 0.4204	LR: 0.020000
Training Epoch: 10 [31232/48750]	Loss: 0.4988	LR: 0.020000
Training Epoch: 10 [31488/48750]	Loss: 0.3913	LR: 0.020000
Training Epoch: 10 [31744/48750]	Loss: 0.4803	LR: 0.020000
Training Epoch: 10 [32000/48750]	Loss: 0.4130	LR: 0.020000
Training Epoch: 10 [32256/48750]	Loss: 0.3161	LR: 0.020000
Training Epoch: 10 [32512/48750]	Loss: 0.3424	LR: 0.020000
Training Epoch: 10 [32768/48750]	Loss: 0.4092	LR: 0.020000
Training Epoch: 10 [33024/48750]	Loss: 0.3765	LR: 0.020000
Training Epoch: 10 [33280/48750]	Loss: 0.3289	LR: 0.020000
Training Epoch: 10 [33536/48750]	Loss: 0.3637	LR: 0.020000
Training Epoch: 10 [33792/48750]	Loss: 0.3283	LR: 0.020000
Training Epoch: 10 [34048/48750]	Loss: 0.4160	LR: 0.020000
Training Epoch: 10 [34304/48750]	Loss: 0.3799	LR: 0.020000
Training Epoch: 10 [34560/48750]	Loss: 0.4091	LR: 0.020000
Training Epoch: 10 [34816/48750]	Loss: 0.4498	LR: 0.020000
Training Epoch: 10 [35072/48750]	Loss: 0.4333	LR: 0.020000
Training Epoch: 10 [35328/48750]	Loss: 0.4396	LR: 0.020000
Training Epoch: 10 [35584/48750]	Loss: 0.4552	LR: 0.020000
Training Epoch: 10 [35840/48750]	Loss: 0.5180	LR: 0.020000
Training Epoch: 10 [36096/48750]	Loss: 0.3685	LR: 0.020000
Training Epoch: 10 [36352/48750]	Loss: 0.3906	LR: 0.020000
Training Epoch: 10 [36608/48750]	Loss: 0.4240	LR: 0.020000
Training Epoch: 10 [36864/48750]	Loss: 0.4337	LR: 0.020000
Training Epoch: 10 [37120/48750]	Loss: 0.4213	LR: 0.020000
Training Epoch: 10 [37376/48750]	Loss: 0.4354	LR: 0.020000
Training Epoch: 10 [37632/48750]	Loss: 0.4106	LR: 0.020000
Training Epoch: 10 [37888/48750]	Loss: 0.3908	LR: 0.020000
Training Epoch: 10 [38144/48750]	Loss: 0.3975	LR: 0.020000
Training Epoch: 10 [38400/48750]	Loss: 0.4350	LR: 0.020000
Training Epoch: 10 [38656/48750]	Loss: 0.3786	LR: 0.020000
Training Epoch: 10 [38912/48750]	Loss: 0.4300	LR: 0.020000
Training Epoch: 10 [39168/48750]	Loss: 0.4116	LR: 0.020000
Training Epoch: 10 [39424/48750]	Loss: 0.4961	LR: 0.020000
Training Epoch: 10 [39680/48750]	Loss: 0.3971	LR: 0.020000
Training Epoch: 10 [39936/48750]	Loss: 0.3588	LR: 0.020000
Training Epoch: 10 [40192/48750]	Loss: 0.4113	LR: 0.020000
Training Epoch: 10 [40448/48750]	Loss: 0.4268	LR: 0.020000
Training Epoch: 10 [40704/48750]	Loss: 0.3869	LR: 0.020000
Training Epoch: 10 [40960/48750]	Loss: 0.4433	LR: 0.020000
Training Epoch: 10 [41216/48750]	Loss: 0.4040	LR: 0.020000
Training Epoch: 10 [41472/48750]	Loss: 0.3350	LR: 0.020000
Training Epoch: 10 [41728/48750]	Loss: 0.3677	LR: 0.020000
Training Epoch: 10 [41984/48750]	Loss: 0.4826	LR: 0.020000
Training Epoch: 10 [42240/48750]	Loss: 0.4191	LR: 0.020000
Training Epoch: 10 [42496/48750]	Loss: 0.3385	LR: 0.020000
Training Epoch: 10 [42752/48750]	Loss: 0.4764	LR: 0.020000
Training Epoch: 10 [43008/48750]	Loss: 0.3763	LR: 0.020000
Training Epoch: 10 [43264/48750]	Loss: 0.3699	LR: 0.020000
Training Epoch: 10 [43520/48750]	Loss: 0.4321	LR: 0.020000
Training Epoch: 10 [43776/48750]	Loss: 0.4941	LR: 0.020000
Training Epoch: 10 [44032/48750]	Loss: 0.3820	LR: 0.020000
Training Epoch: 10 [44288/48750]	Loss: 0.5097	LR: 0.020000
Training Epoch: 10 [44544/48750]	Loss: 0.3665	LR: 0.020000
Training Epoch: 10 [44800/48750]	Loss: 0.5101	LR: 0.020000
Training Epoch: 10 [45056/48750]	Loss: 0.4600	LR: 0.020000
Training Epoch: 10 [45312/48750]	Loss: 0.4399	LR: 0.020000
Training Epoch: 10 [45568/48750]	Loss: 0.4514	LR: 0.020000
Training Epoch: 10 [45824/48750]	Loss: 0.5019	LR: 0.020000
Training Epoch: 10 [46080/48750]	Loss: 0.4766	LR: 0.020000
Training Epoch: 10 [46336/48750]	Loss: 0.3643	LR: 0.020000
Training Epoch: 10 [46592/48750]	Loss: 0.3780	LR: 0.020000
Training Epoch: 10 [46848/48750]	Loss: 0.4763	LR: 0.020000
Training Epoch: 10 [47104/48750]	Loss: 0.4372	LR: 0.020000
Training Epoch: 10 [47360/48750]	Loss: 0.4972	LR: 0.020000
Training Epoch: 10 [47616/48750]	Loss: 0.4268	LR: 0.020000
Training Epoch: 10 [47872/48750]	Loss: 0.4279	LR: 0.020000
Training Epoch: 10 [48128/48750]	Loss: 0.3355	LR: 0.020000
Training Epoch: 10 [48384/48750]	Loss: 0.3943	LR: 0.020000
Training Epoch: 10 [48640/48750]	Loss: 0.4270	LR: 0.020000
Training Epoch: 10 [48750/48750]	Loss: 0.3552	LR: 0.020000
Epoch 10 - Average Train Loss: 0.4160, Train Accuracy: 0.8561
Epoch 10 training time consumed: 26.92s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0018, Accuracy: 0.8393, Time consumed:0.96s
Training Epoch: 11 [256/48750]	Loss: 0.3981	LR: 0.020000
Training Epoch: 11 [512/48750]	Loss: 0.4180	LR: 0.020000
Training Epoch: 11 [768/48750]	Loss: 0.3362	LR: 0.020000
Training Epoch: 11 [1024/48750]	Loss: 0.4361	LR: 0.020000
Training Epoch: 11 [1280/48750]	Loss: 0.4404	LR: 0.020000
Training Epoch: 11 [1536/48750]	Loss: 0.4386	LR: 0.020000
Training Epoch: 11 [1792/48750]	Loss: 0.3969	LR: 0.020000
Training Epoch: 11 [2048/48750]	Loss: 0.3282	LR: 0.020000
Training Epoch: 11 [2304/48750]	Loss: 0.4901	LR: 0.020000
Training Epoch: 11 [2560/48750]	Loss: 0.4557	LR: 0.020000
Training Epoch: 11 [2816/48750]	Loss: 0.3962	LR: 0.020000
Training Epoch: 11 [3072/48750]	Loss: 0.4187	LR: 0.020000
Training Epoch: 11 [3328/48750]	Loss: 0.4376	LR: 0.020000
Training Epoch: 11 [3584/48750]	Loss: 0.3929	LR: 0.020000
Training Epoch: 11 [3840/48750]	Loss: 0.3747	LR: 0.020000
Training Epoch: 11 [4096/48750]	Loss: 0.4144	LR: 0.020000
Training Epoch: 11 [4352/48750]	Loss: 0.4369	LR: 0.020000
Training Epoch: 11 [4608/48750]	Loss: 0.3806	LR: 0.020000
Training Epoch: 11 [4864/48750]	Loss: 0.4069	LR: 0.020000
Training Epoch: 11 [5120/48750]	Loss: 0.5218	LR: 0.020000
Training Epoch: 11 [5376/48750]	Loss: 0.3361	LR: 0.020000
Training Epoch: 11 [5632/48750]	Loss: 0.3277	LR: 0.020000
Training Epoch: 11 [5888/48750]	Loss: 0.4242	LR: 0.020000
Training Epoch: 11 [6144/48750]	Loss: 0.3790	LR: 0.020000
Training Epoch: 11 [6400/48750]	Loss: 0.4090	LR: 0.020000
Training Epoch: 11 [6656/48750]	Loss: 0.3538	LR: 0.020000
Training Epoch: 11 [6912/48750]	Loss: 0.3901	LR: 0.020000
Training Epoch: 11 [7168/48750]	Loss: 0.3892	LR: 0.020000
Training Epoch: 11 [7424/48750]	Loss: 0.4359	LR: 0.020000
Training Epoch: 11 [7680/48750]	Loss: 0.4192	LR: 0.020000
Training Epoch: 11 [7936/48750]	Loss: 0.3848	LR: 0.020000
Training Epoch: 11 [8192/48750]	Loss: 0.3266	LR: 0.020000
Training Epoch: 11 [8448/48750]	Loss: 0.2995	LR: 0.020000
Training Epoch: 11 [8704/48750]	Loss: 0.4075	LR: 0.020000
Training Epoch: 11 [8960/48750]	Loss: 0.4122	LR: 0.020000
Training Epoch: 11 [9216/48750]	Loss: 0.3696	LR: 0.020000
Training Epoch: 11 [9472/48750]	Loss: 0.3942	LR: 0.020000
Training Epoch: 11 [9728/48750]	Loss: 0.3274	LR: 0.020000
Training Epoch: 11 [9984/48750]	Loss: 0.4519	LR: 0.020000
Training Epoch: 11 [10240/48750]	Loss: 0.2996	LR: 0.020000
Training Epoch: 11 [10496/48750]	Loss: 0.3697	LR: 0.020000
Training Epoch: 11 [10752/48750]	Loss: 0.3568	LR: 0.020000
Training Epoch: 11 [11008/48750]	Loss: 0.4299	LR: 0.020000
Training Epoch: 11 [11264/48750]	Loss: 0.3956	LR: 0.020000
Training Epoch: 11 [11520/48750]	Loss: 0.3896	LR: 0.020000
Training Epoch: 11 [11776/48750]	Loss: 0.3939	LR: 0.020000
Training Epoch: 11 [12032/48750]	Loss: 0.3352	LR: 0.020000
Training Epoch: 11 [12288/48750]	Loss: 0.4247	LR: 0.020000
Training Epoch: 11 [12544/48750]	Loss: 0.4480	LR: 0.020000
Training Epoch: 11 [12800/48750]	Loss: 0.4716	LR: 0.020000
Training Epoch: 11 [13056/48750]	Loss: 0.3755	LR: 0.020000
Training Epoch: 11 [13312/48750]	Loss: 0.4603	LR: 0.020000
Training Epoch: 11 [13568/48750]	Loss: 0.3475	LR: 0.020000
Training Epoch: 11 [13824/48750]	Loss: 0.3598	LR: 0.020000
Training Epoch: 11 [14080/48750]	Loss: 0.3869	LR: 0.020000
Training Epoch: 11 [14336/48750]	Loss: 0.3866	LR: 0.020000
Training Epoch: 11 [14592/48750]	Loss: 0.3442	LR: 0.020000
Training Epoch: 11 [14848/48750]	Loss: 0.3852	LR: 0.020000
Training Epoch: 11 [15104/48750]	Loss: 0.3890	LR: 0.020000
Training Epoch: 11 [15360/48750]	Loss: 0.4361	LR: 0.020000
Training Epoch: 11 [15616/48750]	Loss: 0.3888	LR: 0.020000
Training Epoch: 11 [15872/48750]	Loss: 0.3919	LR: 0.020000
Training Epoch: 11 [16128/48750]	Loss: 0.4302	LR: 0.020000
Training Epoch: 11 [16384/48750]	Loss: 0.4007	LR: 0.020000
Training Epoch: 11 [16640/48750]	Loss: 0.3688	LR: 0.020000
Training Epoch: 11 [16896/48750]	Loss: 0.2988	LR: 0.020000
Training Epoch: 11 [17152/48750]	Loss: 0.4573	LR: 0.020000
Training Epoch: 11 [17408/48750]	Loss: 0.3694	LR: 0.020000
Training Epoch: 11 [17664/48750]	Loss: 0.3363	LR: 0.020000
Training Epoch: 11 [17920/48750]	Loss: 0.5225	LR: 0.020000
Training Epoch: 11 [18176/48750]	Loss: 0.4423	LR: 0.020000
Training Epoch: 11 [18432/48750]	Loss: 0.4221	LR: 0.020000
Training Epoch: 11 [18688/48750]	Loss: 0.3857	LR: 0.020000
Training Epoch: 11 [18944/48750]	Loss: 0.3969	LR: 0.020000
Training Epoch: 11 [19200/48750]	Loss: 0.3914	LR: 0.020000
Training Epoch: 11 [19456/48750]	Loss: 0.3394	LR: 0.020000
Training Epoch: 11 [19712/48750]	Loss: 0.4471	LR: 0.020000
Training Epoch: 11 [19968/48750]	Loss: 0.4097	LR: 0.020000
Training Epoch: 11 [20224/48750]	Loss: 0.3554	LR: 0.020000
Training Epoch: 11 [20480/48750]	Loss: 0.3920	LR: 0.020000
Training Epoch: 11 [20736/48750]	Loss: 0.2979	LR: 0.020000
Training Epoch: 11 [20992/48750]	Loss: 0.3798	LR: 0.020000
Training Epoch: 11 [21248/48750]	Loss: 0.4793	LR: 0.020000
Training Epoch: 11 [21504/48750]	Loss: 0.4450	LR: 0.020000
Training Epoch: 11 [21760/48750]	Loss: 0.3009	LR: 0.020000
Training Epoch: 11 [22016/48750]	Loss: 0.3719	LR: 0.020000
Training Epoch: 11 [22272/48750]	Loss: 0.4427	LR: 0.020000
Training Epoch: 11 [22528/48750]	Loss: 0.4734	LR: 0.020000
Training Epoch: 11 [22784/48750]	Loss: 0.3037	LR: 0.020000
Training Epoch: 11 [23040/48750]	Loss: 0.3124	LR: 0.020000
Training Epoch: 11 [23296/48750]	Loss: 0.3121	LR: 0.020000
Training Epoch: 11 [23552/48750]	Loss: 0.3427	LR: 0.020000
Training Epoch: 11 [23808/48750]	Loss: 0.3606	LR: 0.020000
Training Epoch: 11 [24064/48750]	Loss: 0.3943	LR: 0.020000
Training Epoch: 11 [24320/48750]	Loss: 0.4916	LR: 0.020000
Training Epoch: 11 [24576/48750]	Loss: 0.3551	LR: 0.020000
Training Epoch: 11 [24832/48750]	Loss: 0.3663	LR: 0.020000
Training Epoch: 11 [25088/48750]	Loss: 0.4153	LR: 0.020000
Training Epoch: 11 [25344/48750]	Loss: 0.3718	LR: 0.020000
Training Epoch: 11 [25600/48750]	Loss: 0.4573	LR: 0.020000
Training Epoch: 11 [25856/48750]	Loss: 0.4096	LR: 0.020000
Training Epoch: 11 [26112/48750]	Loss: 0.3377	LR: 0.020000
Training Epoch: 11 [26368/48750]	Loss: 0.4078	LR: 0.020000
Training Epoch: 11 [26624/48750]	Loss: 0.3792	LR: 0.020000
Training Epoch: 11 [26880/48750]	Loss: 0.3020	LR: 0.020000
Training Epoch: 11 [27136/48750]	Loss: 0.3611	LR: 0.020000
Training Epoch: 11 [27392/48750]	Loss: 0.4460	LR: 0.020000
Training Epoch: 11 [27648/48750]	Loss: 0.3920	LR: 0.020000
Training Epoch: 11 [27904/48750]	Loss: 0.3552	LR: 0.020000
Training Epoch: 11 [28160/48750]	Loss: 0.3890	LR: 0.020000
Training Epoch: 11 [28416/48750]	Loss: 0.4337	LR: 0.020000
Training Epoch: 11 [28672/48750]	Loss: 0.4163	LR: 0.020000
Training Epoch: 11 [28928/48750]	Loss: 0.4092	LR: 0.020000
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Training Epoch: 11 [30208/48750]	Loss: 0.4885	LR: 0.020000
Training Epoch: 11 [30464/48750]	Loss: 0.3935	LR: 0.020000
Training Epoch: 11 [30720/48750]	Loss: 0.4177	LR: 0.020000
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Training Epoch: 11 [31232/48750]	Loss: 0.4069	LR: 0.020000
Training Epoch: 11 [31488/48750]	Loss: 0.4380	LR: 0.020000
Training Epoch: 11 [31744/48750]	Loss: 0.3800	LR: 0.020000
Training Epoch: 11 [32000/48750]	Loss: 0.3892	LR: 0.020000
Training Epoch: 11 [32256/48750]	Loss: 0.4065	LR: 0.020000
Training Epoch: 11 [32512/48750]	Loss: 0.4282	LR: 0.020000
Training Epoch: 11 [32768/48750]	Loss: 0.3646	LR: 0.020000
Training Epoch: 11 [33024/48750]	Loss: 0.3528	LR: 0.020000
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Training Epoch: 11 [44032/48750]	Loss: 0.3169	LR: 0.020000
Training Epoch: 11 [44288/48750]	Loss: 0.4229	LR: 0.020000
Training Epoch: 11 [44544/48750]	Loss: 0.3965	LR: 0.020000
Training Epoch: 11 [44800/48750]	Loss: 0.3508	LR: 0.020000
Training Epoch: 11 [45056/48750]	Loss: 0.3968	LR: 0.020000
Training Epoch: 11 [45312/48750]	Loss: 0.3926	LR: 0.020000
Training Epoch: 11 [45568/48750]	Loss: 0.4112	LR: 0.020000
Training Epoch: 11 [45824/48750]	Loss: 0.4706	LR: 0.020000
Training Epoch: 11 [46080/48750]	Loss: 0.4793	LR: 0.020000
Training Epoch: 11 [46336/48750]	Loss: 0.4183	LR: 0.020000
Training Epoch: 11 [46592/48750]	Loss: 0.4602	LR: 0.020000
Training Epoch: 11 [46848/48750]	Loss: 0.4665	LR: 0.020000
Training Epoch: 11 [47104/48750]	Loss: 0.3481	LR: 0.020000
Training Epoch: 11 [47360/48750]	Loss: 0.4013	LR: 0.020000
Training Epoch: 11 [47616/48750]	Loss: 0.3651	LR: 0.020000
Training Epoch: 11 [47872/48750]	Loss: 0.4005	LR: 0.020000
Training Epoch: 11 [48128/48750]	Loss: 0.4673	LR: 0.020000
Training Epoch: 11 [48384/48750]	Loss: 0.4635	LR: 0.020000
Training Epoch: 11 [48640/48750]	Loss: 0.4249	LR: 0.020000
Training Epoch: 11 [48750/48750]	Loss: 0.4467	LR: 0.020000
Epoch 11 - Average Train Loss: 0.3965, Train Accuracy: 0.8641
Epoch 11 training time consumed: 27.04s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0020, Accuracy: 0.8383, Time consumed:0.99s
Training Epoch: 12 [256/48750]	Loss: 0.3865	LR: 0.004000
Training Epoch: 12 [512/48750]	Loss: 0.3195	LR: 0.004000
Training Epoch: 12 [768/48750]	Loss: 0.3599	LR: 0.004000
Training Epoch: 12 [1024/48750]	Loss: 0.4064	LR: 0.004000
Training Epoch: 12 [1280/48750]	Loss: 0.3884	LR: 0.004000
Training Epoch: 12 [1536/48750]	Loss: 0.3624	LR: 0.004000
Training Epoch: 12 [1792/48750]	Loss: 0.3636	LR: 0.004000
Training Epoch: 12 [2048/48750]	Loss: 0.4312	LR: 0.004000
Training Epoch: 12 [2304/48750]	Loss: 0.3943	LR: 0.004000
Training Epoch: 12 [2560/48750]	Loss: 0.3940	LR: 0.004000
Training Epoch: 12 [2816/48750]	Loss: 0.3722	LR: 0.004000
Training Epoch: 12 [3072/48750]	Loss: 0.3647	LR: 0.004000
Training Epoch: 12 [3328/48750]	Loss: 0.3965	LR: 0.004000
Training Epoch: 12 [3584/48750]	Loss: 0.2846	LR: 0.004000
Training Epoch: 12 [3840/48750]	Loss: 0.4625	LR: 0.004000
Training Epoch: 12 [4096/48750]	Loss: 0.4195	LR: 0.004000
Training Epoch: 12 [4352/48750]	Loss: 0.3461	LR: 0.004000
Training Epoch: 12 [4608/48750]	Loss: 0.3408	LR: 0.004000
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Training Epoch: 12 [5376/48750]	Loss: 0.3446	LR: 0.004000
Training Epoch: 12 [5632/48750]	Loss: 0.4048	LR: 0.004000
Training Epoch: 12 [5888/48750]	Loss: 0.4444	LR: 0.004000
Training Epoch: 12 [6144/48750]	Loss: 0.3446	LR: 0.004000
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Training Epoch: 12 [6656/48750]	Loss: 0.3396	LR: 0.004000
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Training Epoch: 12 [8448/48750]	Loss: 0.2928	LR: 0.004000
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Training Epoch: 12 [16128/48750]	Loss: 0.3680	LR: 0.004000
Training Epoch: 12 [16384/48750]	Loss: 0.2446	LR: 0.004000
Training Epoch: 12 [16640/48750]	Loss: 0.3389	LR: 0.004000
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Training Epoch: 12 [19712/48750]	Loss: 0.2884	LR: 0.004000
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Training Epoch: 12 [20224/48750]	Loss: 0.3221	LR: 0.004000
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Training Epoch: 12 [28416/48750]	Loss: 0.3084	LR: 0.004000
Training Epoch: 12 [28672/48750]	Loss: 0.3648	LR: 0.004000
Training Epoch: 12 [28928/48750]	Loss: 0.3047	LR: 0.004000
Training Epoch: 12 [29184/48750]	Loss: 0.3168	LR: 0.004000
Training Epoch: 12 [29440/48750]	Loss: 0.3557	LR: 0.004000
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Training Epoch: 12 [40192/48750]	Loss: 0.3581	LR: 0.004000
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Training Epoch: 12 [46080/48750]	Loss: 0.3941	LR: 0.004000
Training Epoch: 12 [46336/48750]	Loss: 0.3190	LR: 0.004000
Training Epoch: 12 [46592/48750]	Loss: 0.3849	LR: 0.004000
Training Epoch: 12 [46848/48750]	Loss: 0.3391	LR: 0.004000
Training Epoch: 12 [47104/48750]	Loss: 0.3261	LR: 0.004000
Training Epoch: 12 [47360/48750]	Loss: 0.4476	LR: 0.004000
Training Epoch: 12 [47616/48750]	Loss: 0.3478	LR: 0.004000
Training Epoch: 12 [47872/48750]	Loss: 0.3977	LR: 0.004000
Training Epoch: 12 [48128/48750]	Loss: 0.3611	LR: 0.004000
Training Epoch: 12 [48384/48750]	Loss: 0.3000	LR: 0.004000
Training Epoch: 12 [48640/48750]	Loss: 0.3489	LR: 0.004000
Training Epoch: 12 [48750/48750]	Loss: 0.3083	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3484, Train Accuracy: 0.8809
Epoch 12 training time consumed: 26.97s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0015, Accuracy: 0.8703, Time consumed:0.94s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_11h_17m_52s/AllCNN-Cifar10-seed10-ret75-12-best.pth
Training Epoch: 13 [256/48750]	Loss: 0.3076	LR: 0.004000
Training Epoch: 13 [512/48750]	Loss: 0.3482	LR: 0.004000
Training Epoch: 13 [768/48750]	Loss: 0.3211	LR: 0.004000
Training Epoch: 13 [1024/48750]	Loss: 0.2981	LR: 0.004000
Training Epoch: 13 [1280/48750]	Loss: 0.3528	LR: 0.004000
Training Epoch: 13 [1536/48750]	Loss: 0.2379	LR: 0.004000
Training Epoch: 13 [1792/48750]	Loss: 0.3167	LR: 0.004000
Training Epoch: 13 [2048/48750]	Loss: 0.2980	LR: 0.004000
Training Epoch: 13 [2304/48750]	Loss: 0.2822	LR: 0.004000
Training Epoch: 13 [2560/48750]	Loss: 0.3873	LR: 0.004000
Training Epoch: 13 [2816/48750]	Loss: 0.3261	LR: 0.004000
Training Epoch: 13 [3072/48750]	Loss: 0.3836	LR: 0.004000
Training Epoch: 13 [3328/48750]	Loss: 0.3930	LR: 0.004000
Training Epoch: 13 [3584/48750]	Loss: 0.3593	LR: 0.004000
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Training Epoch: 13 [47872/48750]	Loss: 0.3288	LR: 0.004000
Training Epoch: 13 [48128/48750]	Loss: 0.3377	LR: 0.004000
Training Epoch: 13 [48384/48750]	Loss: 0.2862	LR: 0.004000
Training Epoch: 13 [48640/48750]	Loss: 0.4187	LR: 0.004000
Training Epoch: 13 [48750/48750]	Loss: 0.2307	LR: 0.004000
Epoch 13 - Average Train Loss: 0.3349, Train Accuracy: 0.8873
Epoch 13 training time consumed: 26.94s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0015, Accuracy: 0.8727, Time consumed:0.99s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_11h_17m_52s/AllCNN-Cifar10-seed10-ret75-13-best.pth
Training Epoch: 14 [256/48750]	Loss: 0.3862	LR: 0.004000
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Training Epoch: 14 [27648/48750]	Loss: 0.2949	LR: 0.004000
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Training Epoch: 14 [30976/48750]	Loss: 0.3040	LR: 0.004000
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Training Epoch: 14 [31488/48750]	Loss: 0.2827	LR: 0.004000
Training Epoch: 14 [31744/48750]	Loss: 0.3500	LR: 0.004000
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Training Epoch: 14 [32256/48750]	Loss: 0.3422	LR: 0.004000
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Training Epoch: 14 [32768/48750]	Loss: 0.2941	LR: 0.004000
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Training Epoch: 14 [44544/48750]	Loss: 0.3753	LR: 0.004000
Training Epoch: 14 [44800/48750]	Loss: 0.2853	LR: 0.004000
Training Epoch: 14 [45056/48750]	Loss: 0.2635	LR: 0.004000
Training Epoch: 14 [45312/48750]	Loss: 0.3520	LR: 0.004000
Training Epoch: 14 [45568/48750]	Loss: 0.2984	LR: 0.004000
Training Epoch: 14 [45824/48750]	Loss: 0.3227	LR: 0.004000
Training Epoch: 14 [46080/48750]	Loss: 0.2866	LR: 0.004000
Training Epoch: 14 [46336/48750]	Loss: 0.3112	LR: 0.004000
Training Epoch: 14 [46592/48750]	Loss: 0.3393	LR: 0.004000
Training Epoch: 14 [46848/48750]	Loss: 0.3404	LR: 0.004000
Training Epoch: 14 [47104/48750]	Loss: 0.4071	LR: 0.004000
Training Epoch: 14 [47360/48750]	Loss: 0.3199	LR: 0.004000
Training Epoch: 14 [47616/48750]	Loss: 0.4093	LR: 0.004000
Training Epoch: 14 [47872/48750]	Loss: 0.3229	LR: 0.004000
Training Epoch: 14 [48128/48750]	Loss: 0.3163	LR: 0.004000
Training Epoch: 14 [48384/48750]	Loss: 0.2709	LR: 0.004000
Training Epoch: 14 [48640/48750]	Loss: 0.3562	LR: 0.004000
Training Epoch: 14 [48750/48750]	Loss: 0.4577	LR: 0.004000
Epoch 14 - Average Train Loss: 0.3279, Train Accuracy: 0.8863
Epoch 14 training time consumed: 27.00s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0015, Accuracy: 0.8721, Time consumed:0.94s
Training Epoch: 15 [256/48750]	Loss: 0.3001	LR: 0.004000
Training Epoch: 15 [512/48750]	Loss: 0.3051	LR: 0.004000
Training Epoch: 15 [768/48750]	Loss: 0.2847	LR: 0.004000
Training Epoch: 15 [1024/48750]	Loss: 0.2614	LR: 0.004000
Training Epoch: 15 [1280/48750]	Loss: 0.2780	LR: 0.004000
Training Epoch: 15 [1536/48750]	Loss: 0.3746	LR: 0.004000
Training Epoch: 15 [1792/48750]	Loss: 0.3433	LR: 0.004000
Training Epoch: 15 [2048/48750]	Loss: 0.2740	LR: 0.004000
Training Epoch: 15 [2304/48750]	Loss: 0.3857	LR: 0.004000
Training Epoch: 15 [2560/48750]	Loss: 0.3181	LR: 0.004000
Training Epoch: 15 [2816/48750]	Loss: 0.3564	LR: 0.004000
Training Epoch: 15 [3072/48750]	Loss: 0.3358	LR: 0.004000
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Training Epoch: 15 [3584/48750]	Loss: 0.3034	LR: 0.004000
Training Epoch: 15 [3840/48750]	Loss: 0.2312	LR: 0.004000
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Training Epoch: 15 [6144/48750]	Loss: 0.3584	LR: 0.004000
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Training Epoch: 15 [12288/48750]	Loss: 0.3147	LR: 0.004000
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Training Epoch: 15 [46592/48750]	Loss: 0.2799	LR: 0.004000
Training Epoch: 15 [46848/48750]	Loss: 0.3401	LR: 0.004000
Training Epoch: 15 [47104/48750]	Loss: 0.2459	LR: 0.004000
Training Epoch: 15 [47360/48750]	Loss: 0.3060	LR: 0.004000
Training Epoch: 15 [47616/48750]	Loss: 0.3622	LR: 0.004000
Training Epoch: 15 [47872/48750]	Loss: 0.2879	LR: 0.004000
Training Epoch: 15 [48128/48750]	Loss: 0.3728	LR: 0.004000
Training Epoch: 15 [48384/48750]	Loss: 0.3005	LR: 0.004000
Training Epoch: 15 [48640/48750]	Loss: 0.2575	LR: 0.004000
Training Epoch: 15 [48750/48750]	Loss: 0.4382	LR: 0.004000
Epoch 15 - Average Train Loss: 0.3230, Train Accuracy: 0.8889
Epoch 15 training time consumed: 26.84s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0014, Accuracy: 0.8773, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_11h_17m_52s/AllCNN-Cifar10-seed10-ret75-15-best.pth
Training Epoch: 16 [256/48750]	Loss: 0.3215	LR: 0.000800
Training Epoch: 16 [512/48750]	Loss: 0.2482	LR: 0.000800
Training Epoch: 16 [768/48750]	Loss: 0.3582	LR: 0.000800
Training Epoch: 16 [1024/48750]	Loss: 0.3616	LR: 0.000800
Training Epoch: 16 [1280/48750]	Loss: 0.2903	LR: 0.000800
Training Epoch: 16 [1536/48750]	Loss: 0.3442	LR: 0.000800
Training Epoch: 16 [1792/48750]	Loss: 0.2821	LR: 0.000800
Training Epoch: 16 [2048/48750]	Loss: 0.3233	LR: 0.000800
Training Epoch: 16 [2304/48750]	Loss: 0.3636	LR: 0.000800
Training Epoch: 16 [2560/48750]	Loss: 0.2794	LR: 0.000800
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Training Epoch: 16 [46336/48750]	Loss: 0.3166	LR: 0.000800
Training Epoch: 16 [46592/48750]	Loss: 0.3484	LR: 0.000800
Training Epoch: 16 [46848/48750]	Loss: 0.2677	LR: 0.000800
Training Epoch: 16 [47104/48750]	Loss: 0.3028	LR: 0.000800
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Training Epoch: 16 [47616/48750]	Loss: 0.2542	LR: 0.000800
Training Epoch: 16 [47872/48750]	Loss: 0.3387	LR: 0.000800
Training Epoch: 16 [48128/48750]	Loss: 0.3088	LR: 0.000800
Training Epoch: 16 [48384/48750]	Loss: 0.2779	LR: 0.000800
Training Epoch: 16 [48640/48750]	Loss: 0.2904	LR: 0.000800
Training Epoch: 16 [48750/48750]	Loss: 0.4039	LR: 0.000800
Epoch 16 - Average Train Loss: 0.3088, Train Accuracy: 0.8947
Epoch 16 training time consumed: 27.00s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0014, Accuracy: 0.8790, Time consumed:0.89s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_11h_17m_52s/AllCNN-Cifar10-seed10-ret75-16-best.pth
Training Epoch: 17 [256/48750]	Loss: 0.3020	LR: 0.000800
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Training Epoch: 17 [1536/48750]	Loss: 0.3019	LR: 0.000800
Training Epoch: 17 [1792/48750]	Loss: 0.2561	LR: 0.000800
Training Epoch: 17 [2048/48750]	Loss: 0.3405	LR: 0.000800
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Training Epoch: 17 [2560/48750]	Loss: 0.3425	LR: 0.000800
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Training Epoch: 17 [6144/48750]	Loss: 0.3092	LR: 0.000800
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Training Epoch: 17 [9984/48750]	Loss: 0.3019	LR: 0.000800
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Training Epoch: 17 [10496/48750]	Loss: 0.3380	LR: 0.000800
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Training Epoch: 17 [26624/48750]	Loss: 0.2931	LR: 0.000800
Training Epoch: 17 [26880/48750]	Loss: 0.3771	LR: 0.000800
Training Epoch: 17 [27136/48750]	Loss: 0.3162	LR: 0.000800
Training Epoch: 17 [27392/48750]	Loss: 0.2595	LR: 0.000800
Training Epoch: 17 [27648/48750]	Loss: 0.3045	LR: 0.000800
Training Epoch: 17 [27904/48750]	Loss: 0.3484	LR: 0.000800
Training Epoch: 17 [28160/48750]	Loss: 0.2768	LR: 0.000800
Training Epoch: 17 [28416/48750]	Loss: 0.3901	LR: 0.000800
Training Epoch: 17 [28672/48750]	Loss: 0.2788	LR: 0.000800
Training Epoch: 17 [28928/48750]	Loss: 0.3604	LR: 0.000800
Training Epoch: 17 [29184/48750]	Loss: 0.2723	LR: 0.000800
Training Epoch: 17 [29440/48750]	Loss: 0.2623	LR: 0.000800
Training Epoch: 17 [29696/48750]	Loss: 0.3470	LR: 0.000800
Training Epoch: 17 [29952/48750]	Loss: 0.2645	LR: 0.000800
Training Epoch: 17 [30208/48750]	Loss: 0.3216	LR: 0.000800
Training Epoch: 17 [30464/48750]	Loss: 0.3352	LR: 0.000800
Training Epoch: 17 [30720/48750]	Loss: 0.2772	LR: 0.000800
Training Epoch: 17 [30976/48750]	Loss: 0.3013	LR: 0.000800
Training Epoch: 17 [31232/48750]	Loss: 0.3215	LR: 0.000800
Training Epoch: 17 [31488/48750]	Loss: 0.3218	LR: 0.000800
Training Epoch: 17 [31744/48750]	Loss: 0.2391	LR: 0.000800
Training Epoch: 17 [32000/48750]	Loss: 0.3138	LR: 0.000800
Training Epoch: 17 [32256/48750]	Loss: 0.2814	LR: 0.000800
Training Epoch: 17 [32512/48750]	Loss: 0.3430	LR: 0.000800
Training Epoch: 17 [32768/48750]	Loss: 0.3624	LR: 0.000800
Training Epoch: 17 [33024/48750]	Loss: 0.2741	LR: 0.000800
Training Epoch: 17 [33280/48750]	Loss: 0.3923	LR: 0.000800
Training Epoch: 17 [33536/48750]	Loss: 0.2790	LR: 0.000800
Training Epoch: 17 [33792/48750]	Loss: 0.3417	LR: 0.000800
Training Epoch: 17 [34048/48750]	Loss: 0.3052	LR: 0.000800
Training Epoch: 17 [34304/48750]	Loss: 0.3329	LR: 0.000800
Training Epoch: 17 [34560/48750]	Loss: 0.2639	LR: 0.000800
Training Epoch: 17 [34816/48750]	Loss: 0.3371	LR: 0.000800
Training Epoch: 17 [35072/48750]	Loss: 0.2686	LR: 0.000800
Training Epoch: 17 [35328/48750]	Loss: 0.2533	LR: 0.000800
Training Epoch: 17 [35584/48750]	Loss: 0.3128	LR: 0.000800
Training Epoch: 17 [35840/48750]	Loss: 0.3292	LR: 0.000800
Training Epoch: 17 [36096/48750]	Loss: 0.3866	LR: 0.000800
Training Epoch: 17 [36352/48750]	Loss: 0.3215	LR: 0.000800
Training Epoch: 17 [36608/48750]	Loss: 0.2801	LR: 0.000800
Training Epoch: 17 [36864/48750]	Loss: 0.3652	LR: 0.000800
Training Epoch: 17 [37120/48750]	Loss: 0.3340	LR: 0.000800
Training Epoch: 17 [37376/48750]	Loss: 0.3194	LR: 0.000800
Training Epoch: 17 [37632/48750]	Loss: 0.2946	LR: 0.000800
Training Epoch: 17 [37888/48750]	Loss: 0.3058	LR: 0.000800
Training Epoch: 17 [38144/48750]	Loss: 0.2635	LR: 0.000800
Training Epoch: 17 [38400/48750]	Loss: 0.3647	LR: 0.000800
Training Epoch: 17 [38656/48750]	Loss: 0.3092	LR: 0.000800
Training Epoch: 17 [38912/48750]	Loss: 0.3343	LR: 0.000800
Training Epoch: 17 [39168/48750]	Loss: 0.3124	LR: 0.000800
Training Epoch: 17 [39424/48750]	Loss: 0.3153	LR: 0.000800
Training Epoch: 17 [39680/48750]	Loss: 0.2755	LR: 0.000800
Training Epoch: 17 [39936/48750]	Loss: 0.2998	LR: 0.000800
Training Epoch: 17 [40192/48750]	Loss: 0.2921	LR: 0.000800
Training Epoch: 17 [40448/48750]	Loss: 0.3190	LR: 0.000800
Training Epoch: 17 [40704/48750]	Loss: 0.2679	LR: 0.000800
Training Epoch: 17 [40960/48750]	Loss: 0.3230	LR: 0.000800
Training Epoch: 17 [41216/48750]	Loss: 0.2646	LR: 0.000800
Training Epoch: 17 [41472/48750]	Loss: 0.3226	LR: 0.000800
Training Epoch: 17 [41728/48750]	Loss: 0.2757	LR: 0.000800
Training Epoch: 17 [41984/48750]	Loss: 0.3561	LR: 0.000800
Training Epoch: 17 [42240/48750]	Loss: 0.2517	LR: 0.000800
Training Epoch: 17 [42496/48750]	Loss: 0.3006	LR: 0.000800
Training Epoch: 17 [42752/48750]	Loss: 0.2601	LR: 0.000800
Training Epoch: 17 [43008/48750]	Loss: 0.3899	LR: 0.000800
Training Epoch: 17 [43264/48750]	Loss: 0.3423	LR: 0.000800
Training Epoch: 17 [43520/48750]	Loss: 0.3143	LR: 0.000800
Training Epoch: 17 [43776/48750]	Loss: 0.3320	LR: 0.000800
Training Epoch: 17 [44032/48750]	Loss: 0.2702	LR: 0.000800
Training Epoch: 17 [44288/48750]	Loss: 0.2770	LR: 0.000800
Training Epoch: 17 [44544/48750]	Loss: 0.3222	LR: 0.000800
Training Epoch: 17 [44800/48750]	Loss: 0.2608	LR: 0.000800
Training Epoch: 17 [45056/48750]	Loss: 0.2612	LR: 0.000800
Training Epoch: 17 [45312/48750]	Loss: 0.2950	LR: 0.000800
Training Epoch: 17 [45568/48750]	Loss: 0.3462	LR: 0.000800
Training Epoch: 17 [45824/48750]	Loss: 0.2443	LR: 0.000800
Training Epoch: 17 [46080/48750]	Loss: 0.2580	LR: 0.000800
Training Epoch: 17 [46336/48750]	Loss: 0.3853	LR: 0.000800
Training Epoch: 17 [46592/48750]	Loss: 0.3715	LR: 0.000800
Training Epoch: 17 [46848/48750]	Loss: 0.3430	LR: 0.000800
Training Epoch: 17 [47104/48750]	Loss: 0.2610	LR: 0.000800
Training Epoch: 17 [47360/48750]	Loss: 0.3118	LR: 0.000800
Training Epoch: 17 [47616/48750]	Loss: 0.3228	LR: 0.000800
Training Epoch: 17 [47872/48750]	Loss: 0.2594	LR: 0.000800
Training Epoch: 17 [48128/48750]	Loss: 0.2583	LR: 0.000800
Training Epoch: 17 [48384/48750]	Loss: 0.3539	LR: 0.000800
Training Epoch: 17 [48640/48750]	Loss: 0.2842	LR: 0.000800
Training Epoch: 17 [48750/48750]	Loss: 0.3322	LR: 0.000800
Epoch 17 - Average Train Loss: 0.3053, Train Accuracy: 0.8952
Epoch 17 training time consumed: 27.05s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0014, Accuracy: 0.8772, Time consumed:0.95s
Training Epoch: 18 [256/48750]	Loss: 0.3746	LR: 0.000800
Training Epoch: 18 [512/48750]	Loss: 0.3559	LR: 0.000800
Training Epoch: 18 [768/48750]	Loss: 0.2738	LR: 0.000800
Training Epoch: 18 [1024/48750]	Loss: 0.3236	LR: 0.000800
Training Epoch: 18 [1280/48750]	Loss: 0.2747	LR: 0.000800
Training Epoch: 18 [1536/48750]	Loss: 0.2555	LR: 0.000800
Training Epoch: 18 [1792/48750]	Loss: 0.3019	LR: 0.000800
Training Epoch: 18 [2048/48750]	Loss: 0.2974	LR: 0.000800
Training Epoch: 18 [2304/48750]	Loss: 0.2851	LR: 0.000800
Training Epoch: 18 [2560/48750]	Loss: 0.2850	LR: 0.000800
Training Epoch: 18 [2816/48750]	Loss: 0.2529	LR: 0.000800
Training Epoch: 18 [3072/48750]	Loss: 0.2838	LR: 0.000800
Training Epoch: 18 [3328/48750]	Loss: 0.2605	LR: 0.000800
Training Epoch: 18 [3584/48750]	Loss: 0.3401	LR: 0.000800
Training Epoch: 18 [3840/48750]	Loss: 0.3639	LR: 0.000800
Training Epoch: 18 [4096/48750]	Loss: 0.2806	LR: 0.000800
Training Epoch: 18 [4352/48750]	Loss: 0.2688	LR: 0.000800
Training Epoch: 18 [4608/48750]	Loss: 0.2489	LR: 0.000800
Training Epoch: 18 [4864/48750]	Loss: 0.2885	LR: 0.000800
Training Epoch: 18 [5120/48750]	Loss: 0.2389	LR: 0.000800
Training Epoch: 18 [5376/48750]	Loss: 0.3054	LR: 0.000800
Training Epoch: 18 [5632/48750]	Loss: 0.2808	LR: 0.000800
Training Epoch: 18 [5888/48750]	Loss: 0.3435	LR: 0.000800
Training Epoch: 18 [6144/48750]	Loss: 0.3317	LR: 0.000800
Training Epoch: 18 [6400/48750]	Loss: 0.3534	LR: 0.000800
Training Epoch: 18 [6656/48750]	Loss: 0.3786	LR: 0.000800
Training Epoch: 18 [6912/48750]	Loss: 0.1995	LR: 0.000800
Training Epoch: 18 [7168/48750]	Loss: 0.3367	LR: 0.000800
Training Epoch: 18 [7424/48750]	Loss: 0.2993	LR: 0.000800
Training Epoch: 18 [7680/48750]	Loss: 0.3280	LR: 0.000800
Training Epoch: 18 [7936/48750]	Loss: 0.2762	LR: 0.000800
Training Epoch: 18 [8192/48750]	Loss: 0.2750	LR: 0.000800
Training Epoch: 18 [8448/48750]	Loss: 0.2779	LR: 0.000800
Training Epoch: 18 [8704/48750]	Loss: 0.2879	LR: 0.000800
Training Epoch: 18 [8960/48750]	Loss: 0.3322	LR: 0.000800
Training Epoch: 18 [9216/48750]	Loss: 0.3075	LR: 0.000800
Training Epoch: 18 [9472/48750]	Loss: 0.3222	LR: 0.000800
Training Epoch: 18 [9728/48750]	Loss: 0.3089	LR: 0.000800
Training Epoch: 18 [9984/48750]	Loss: 0.3090	LR: 0.000800
Training Epoch: 18 [10240/48750]	Loss: 0.2825	LR: 0.000800
Training Epoch: 18 [10496/48750]	Loss: 0.2851	LR: 0.000800
Training Epoch: 18 [10752/48750]	Loss: 0.3445	LR: 0.000800
Training Epoch: 18 [11008/48750]	Loss: 0.3431	LR: 0.000800
Training Epoch: 18 [11264/48750]	Loss: 0.3573	LR: 0.000800
Training Epoch: 18 [11520/48750]	Loss: 0.3386	LR: 0.000800
Training Epoch: 18 [11776/48750]	Loss: 0.3385	LR: 0.000800
Training Epoch: 18 [12032/48750]	Loss: 0.2918	LR: 0.000800
Training Epoch: 18 [12288/48750]	Loss: 0.2689	LR: 0.000800
Training Epoch: 18 [12544/48750]	Loss: 0.2313	LR: 0.000800
Training Epoch: 18 [12800/48750]	Loss: 0.3135	LR: 0.000800
Training Epoch: 18 [13056/48750]	Loss: 0.3513	LR: 0.000800
Training Epoch: 18 [13312/48750]	Loss: 0.3057	LR: 0.000800
Training Epoch: 18 [13568/48750]	Loss: 0.3029	LR: 0.000800
Training Epoch: 18 [13824/48750]	Loss: 0.3483	LR: 0.000800
Training Epoch: 18 [14080/48750]	Loss: 0.2191	LR: 0.000800
Training Epoch: 18 [14336/48750]	Loss: 0.3185	LR: 0.000800
Training Epoch: 18 [14592/48750]	Loss: 0.2432	LR: 0.000800
Training Epoch: 18 [14848/48750]	Loss: 0.2951	LR: 0.000800
Training Epoch: 18 [15104/48750]	Loss: 0.3484	LR: 0.000800
Training Epoch: 18 [15360/48750]	Loss: 0.2964	LR: 0.000800
Training Epoch: 18 [15616/48750]	Loss: 0.2631	LR: 0.000800
Training Epoch: 18 [15872/48750]	Loss: 0.2660	LR: 0.000800
Training Epoch: 18 [16128/48750]	Loss: 0.2877	LR: 0.000800
Training Epoch: 18 [16384/48750]	Loss: 0.2546	LR: 0.000800
Training Epoch: 18 [16640/48750]	Loss: 0.2639	LR: 0.000800
Training Epoch: 18 [16896/48750]	Loss: 0.3090	LR: 0.000800
Training Epoch: 18 [17152/48750]	Loss: 0.2870	LR: 0.000800
Training Epoch: 18 [17408/48750]	Loss: 0.3093	LR: 0.000800
Training Epoch: 18 [17664/48750]	Loss: 0.2956	LR: 0.000800
Training Epoch: 18 [17920/48750]	Loss: 0.3046	LR: 0.000800
Training Epoch: 18 [18176/48750]	Loss: 0.3089	LR: 0.000800
Training Epoch: 18 [18432/48750]	Loss: 0.3356	LR: 0.000800
Training Epoch: 18 [18688/48750]	Loss: 0.3092	LR: 0.000800
Training Epoch: 18 [18944/48750]	Loss: 0.3639	LR: 0.000800
Training Epoch: 18 [19200/48750]	Loss: 0.2729	LR: 0.000800
Training Epoch: 18 [19456/48750]	Loss: 0.3229	LR: 0.000800
Training Epoch: 18 [19712/48750]	Loss: 0.2861	LR: 0.000800
Training Epoch: 18 [19968/48750]	Loss: 0.3440	LR: 0.000800
Training Epoch: 18 [20224/48750]	Loss: 0.2752	LR: 0.000800
Training Epoch: 18 [20480/48750]	Loss: 0.2755	LR: 0.000800
Training Epoch: 18 [20736/48750]	Loss: 0.3022	LR: 0.000800
Training Epoch: 18 [20992/48750]	Loss: 0.2748	LR: 0.000800
Training Epoch: 18 [21248/48750]	Loss: 0.3179	LR: 0.000800
Training Epoch: 18 [21504/48750]	Loss: 0.2717	LR: 0.000800
Training Epoch: 18 [21760/48750]	Loss: 0.3574	LR: 0.000800
Training Epoch: 18 [22016/48750]	Loss: 0.3078	LR: 0.000800
Training Epoch: 18 [22272/48750]	Loss: 0.3216	LR: 0.000800
Training Epoch: 18 [22528/48750]	Loss: 0.3076	LR: 0.000800
Training Epoch: 18 [22784/48750]	Loss: 0.2830	LR: 0.000800
Training Epoch: 18 [23040/48750]	Loss: 0.3787	LR: 0.000800
Training Epoch: 18 [23296/48750]	Loss: 0.3240	LR: 0.000800
Training Epoch: 18 [23552/48750]	Loss: 0.3140	LR: 0.000800
Training Epoch: 18 [23808/48750]	Loss: 0.2497	LR: 0.000800
Training Epoch: 18 [24064/48750]	Loss: 0.3032	LR: 0.000800
Training Epoch: 18 [24320/48750]	Loss: 0.3560	LR: 0.000800
Training Epoch: 18 [24576/48750]	Loss: 0.2893	LR: 0.000800
Training Epoch: 18 [24832/48750]	Loss: 0.3461	LR: 0.000800
Training Epoch: 18 [25088/48750]	Loss: 0.2800	LR: 0.000800
Training Epoch: 18 [25344/48750]	Loss: 0.3231	LR: 0.000800
Training Epoch: 18 [25600/48750]	Loss: 0.3703	LR: 0.000800
Training Epoch: 18 [25856/48750]	Loss: 0.3129	LR: 0.000800
Training Epoch: 18 [26112/48750]	Loss: 0.3427	LR: 0.000800
Training Epoch: 18 [26368/48750]	Loss: 0.3630	LR: 0.000800
Training Epoch: 18 [26624/48750]	Loss: 0.2645	LR: 0.000800
Training Epoch: 18 [26880/48750]	Loss: 0.2938	LR: 0.000800
Training Epoch: 18 [27136/48750]	Loss: 0.3911	LR: 0.000800
Training Epoch: 18 [27392/48750]	Loss: 0.2567	LR: 0.000800
Training Epoch: 18 [27648/48750]	Loss: 0.3857	LR: 0.000800
Training Epoch: 18 [27904/48750]	Loss: 0.2738	LR: 0.000800
Training Epoch: 18 [28160/48750]	Loss: 0.2705	LR: 0.000800
Training Epoch: 18 [28416/48750]	Loss: 0.3190	LR: 0.000800
Training Epoch: 18 [28672/48750]	Loss: 0.3244	LR: 0.000800
Training Epoch: 18 [28928/48750]	Loss: 0.2591	LR: 0.000800
Training Epoch: 18 [29184/48750]	Loss: 0.3202	LR: 0.000800
Training Epoch: 18 [29440/48750]	Loss: 0.2691	LR: 0.000800
Training Epoch: 18 [29696/48750]	Loss: 0.3232	LR: 0.000800
Training Epoch: 18 [29952/48750]	Loss: 0.3892	LR: 0.000800
Training Epoch: 18 [30208/48750]	Loss: 0.2569	LR: 0.000800
Training Epoch: 18 [30464/48750]	Loss: 0.3257	LR: 0.000800
Training Epoch: 18 [30720/48750]	Loss: 0.2647	LR: 0.000800
Training Epoch: 18 [30976/48750]	Loss: 0.3018	LR: 0.000800
Training Epoch: 18 [31232/48750]	Loss: 0.3179	LR: 0.000800
Training Epoch: 18 [31488/48750]	Loss: 0.2564	LR: 0.000800
Training Epoch: 18 [31744/48750]	Loss: 0.3351	LR: 0.000800
Training Epoch: 18 [32000/48750]	Loss: 0.2345	LR: 0.000800
Training Epoch: 18 [32256/48750]	Loss: 0.2400	LR: 0.000800
Training Epoch: 18 [32512/48750]	Loss: 0.3215	LR: 0.000800
Training Epoch: 18 [32768/48750]	Loss: 0.2396	LR: 0.000800
Training Epoch: 18 [33024/48750]	Loss: 0.2935	LR: 0.000800
Training Epoch: 18 [33280/48750]	Loss: 0.3024	LR: 0.000800
Training Epoch: 18 [33536/48750]	Loss: 0.3834	LR: 0.000800
Training Epoch: 18 [33792/48750]	Loss: 0.3785	LR: 0.000800
Training Epoch: 18 [34048/48750]	Loss: 0.3532	LR: 0.000800
Training Epoch: 18 [34304/48750]	Loss: 0.2354	LR: 0.000800
Training Epoch: 18 [34560/48750]	Loss: 0.3296	LR: 0.000800
Training Epoch: 18 [34816/48750]	Loss: 0.3324	LR: 0.000800
Training Epoch: 18 [35072/48750]	Loss: 0.2875	LR: 0.000800
Training Epoch: 18 [35328/48750]	Loss: 0.3654	LR: 0.000800
Training Epoch: 18 [35584/48750]	Loss: 0.3171	LR: 0.000800
Training Epoch: 18 [35840/48750]	Loss: 0.2901	LR: 0.000800
Training Epoch: 18 [36096/48750]	Loss: 0.2716	LR: 0.000800
Training Epoch: 18 [36352/48750]	Loss: 0.3054	LR: 0.000800
Training Epoch: 18 [36608/48750]	Loss: 0.3954	LR: 0.000800
Training Epoch: 18 [36864/48750]	Loss: 0.3109	LR: 0.000800
Training Epoch: 18 [37120/48750]	Loss: 0.2625	LR: 0.000800
Training Epoch: 18 [37376/48750]	Loss: 0.2323	LR: 0.000800
Training Epoch: 18 [37632/48750]	Loss: 0.3756	LR: 0.000800
Training Epoch: 18 [37888/48750]	Loss: 0.2801	LR: 0.000800
Training Epoch: 18 [38144/48750]	Loss: 0.3111	LR: 0.000800
Training Epoch: 18 [38400/48750]	Loss: 0.3639	LR: 0.000800
Training Epoch: 18 [38656/48750]	Loss: 0.3611	LR: 0.000800
Training Epoch: 18 [38912/48750]	Loss: 0.3143	LR: 0.000800
Training Epoch: 18 [39168/48750]	Loss: 0.2935	LR: 0.000800
Training Epoch: 18 [39424/48750]	Loss: 0.2395	LR: 0.000800
Training Epoch: 18 [39680/48750]	Loss: 0.3122	LR: 0.000800
Training Epoch: 18 [39936/48750]	Loss: 0.3631	LR: 0.000800
Training Epoch: 18 [40192/48750]	Loss: 0.2951	LR: 0.000800
Training Epoch: 18 [40448/48750]	Loss: 0.2649	LR: 0.000800
Training Epoch: 18 [40704/48750]	Loss: 0.3085	LR: 0.000800
Training Epoch: 18 [40960/48750]	Loss: 0.3531	LR: 0.000800
Training Epoch: 18 [41216/48750]	Loss: 0.2971	LR: 0.000800
Training Epoch: 18 [41472/48750]	Loss: 0.2985	LR: 0.000800
Training Epoch: 18 [41728/48750]	Loss: 0.3127	LR: 0.000800
Training Epoch: 18 [41984/48750]	Loss: 0.2821	LR: 0.000800
Training Epoch: 18 [42240/48750]	Loss: 0.2650	LR: 0.000800
Training Epoch: 18 [42496/48750]	Loss: 0.2591	LR: 0.000800
Training Epoch: 18 [42752/48750]	Loss: 0.2885	LR: 0.000800
Training Epoch: 18 [43008/48750]	Loss: 0.3582	LR: 0.000800
Training Epoch: 18 [43264/48750]	Loss: 0.2944	LR: 0.000800
Training Epoch: 18 [43520/48750]	Loss: 0.3492	LR: 0.000800
Training Epoch: 18 [43776/48750]	Loss: 0.2966	LR: 0.000800
Training Epoch: 18 [44032/48750]	Loss: 0.2621	LR: 0.000800
Training Epoch: 18 [44288/48750]	Loss: 0.3617	LR: 0.000800
Training Epoch: 18 [44544/48750]	Loss: 0.3723	LR: 0.000800
Training Epoch: 18 [44800/48750]	Loss: 0.4323	LR: 0.000800
Training Epoch: 18 [45056/48750]	Loss: 0.3221	LR: 0.000800
Training Epoch: 18 [45312/48750]	Loss: 0.2948	LR: 0.000800
Training Epoch: 18 [45568/48750]	Loss: 0.3098	LR: 0.000800
Training Epoch: 18 [45824/48750]	Loss: 0.2663	LR: 0.000800
Training Epoch: 18 [46080/48750]	Loss: 0.2563	LR: 0.000800
Training Epoch: 18 [46336/48750]	Loss: 0.3088	LR: 0.000800
Training Epoch: 18 [46592/48750]	Loss: 0.2993	LR: 0.000800
Training Epoch: 18 [46848/48750]	Loss: 0.3261	LR: 0.000800
Training Epoch: 18 [47104/48750]	Loss: 0.2769	LR: 0.000800
Training Epoch: 18 [47360/48750]	Loss: 0.3945	LR: 0.000800
Training Epoch: 18 [47616/48750]	Loss: 0.2812	LR: 0.000800
Training Epoch: 18 [47872/48750]	Loss: 0.3102	LR: 0.000800
Training Epoch: 18 [48128/48750]	Loss: 0.3319	LR: 0.000800
Training Epoch: 18 [48384/48750]	Loss: 0.2218	LR: 0.000800
Training Epoch: 18 [48640/48750]	Loss: 0.2532	LR: 0.000800
Training Epoch: 18 [48750/48750]	Loss: 0.3739	LR: 0.000800
Epoch 18 - Average Train Loss: 0.3058, Train Accuracy: 0.8958
Epoch 18 training time consumed: 27.35s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0014, Accuracy: 0.8768, Time consumed:0.91s
Training Epoch: 19 [256/48750]	Loss: 0.2591	LR: 0.000800
Training Epoch: 19 [512/48750]	Loss: 0.3695	LR: 0.000800
Training Epoch: 19 [768/48750]	Loss: 0.3301	LR: 0.000800
Training Epoch: 19 [1024/48750]	Loss: 0.2916	LR: 0.000800
Training Epoch: 19 [1280/48750]	Loss: 0.2989	LR: 0.000800
Training Epoch: 19 [1536/48750]	Loss: 0.2972	LR: 0.000800
Training Epoch: 19 [1792/48750]	Loss: 0.3098	LR: 0.000800
Training Epoch: 19 [2048/48750]	Loss: 0.2302	LR: 0.000800
Training Epoch: 19 [2304/48750]	Loss: 0.2982	LR: 0.000800
Training Epoch: 19 [2560/48750]	Loss: 0.3307	LR: 0.000800
Training Epoch: 19 [2816/48750]	Loss: 0.2251	LR: 0.000800
Training Epoch: 19 [3072/48750]	Loss: 0.3846	LR: 0.000800
Training Epoch: 19 [3328/48750]	Loss: 0.3428	LR: 0.000800
Training Epoch: 19 [3584/48750]	Loss: 0.2816	LR: 0.000800
Training Epoch: 19 [3840/48750]	Loss: 0.3068	LR: 0.000800
Training Epoch: 19 [4096/48750]	Loss: 0.3750	LR: 0.000800
Training Epoch: 19 [4352/48750]	Loss: 0.2749	LR: 0.000800
Training Epoch: 19 [4608/48750]	Loss: 0.2248	LR: 0.000800
Training Epoch: 19 [4864/48750]	Loss: 0.4110	LR: 0.000800
Training Epoch: 19 [5120/48750]	Loss: 0.3521	LR: 0.000800
Training Epoch: 19 [5376/48750]	Loss: 0.3075	LR: 0.000800
Training Epoch: 19 [5632/48750]	Loss: 0.3709	LR: 0.000800
Training Epoch: 19 [5888/48750]	Loss: 0.2781	LR: 0.000800
Training Epoch: 19 [6144/48750]	Loss: 0.3071	LR: 0.000800
Training Epoch: 19 [6400/48750]	Loss: 0.3133	LR: 0.000800
Training Epoch: 19 [6656/48750]	Loss: 0.3061	LR: 0.000800
Training Epoch: 19 [6912/48750]	Loss: 0.3268	LR: 0.000800
Training Epoch: 19 [7168/48750]	Loss: 0.3105	LR: 0.000800
Training Epoch: 19 [7424/48750]	Loss: 0.3417	LR: 0.000800
Training Epoch: 19 [7680/48750]	Loss: 0.2937	LR: 0.000800
Training Epoch: 19 [7936/48750]	Loss: 0.2859	LR: 0.000800
Training Epoch: 19 [8192/48750]	Loss: 0.2615	LR: 0.000800
Training Epoch: 19 [8448/48750]	Loss: 0.3132	LR: 0.000800
Training Epoch: 19 [8704/48750]	Loss: 0.3584	LR: 0.000800
Training Epoch: 19 [8960/48750]	Loss: 0.2452	LR: 0.000800
Training Epoch: 19 [9216/48750]	Loss: 0.2253	LR: 0.000800
Training Epoch: 19 [9472/48750]	Loss: 0.3135	LR: 0.000800
Training Epoch: 19 [9728/48750]	Loss: 0.1938	LR: 0.000800
Training Epoch: 19 [9984/48750]	Loss: 0.3349	LR: 0.000800
Training Epoch: 19 [10240/48750]	Loss: 0.3302	LR: 0.000800
Training Epoch: 19 [10496/48750]	Loss: 0.2932	LR: 0.000800
Training Epoch: 19 [10752/48750]	Loss: 0.3632	LR: 0.000800
Training Epoch: 19 [11008/48750]	Loss: 0.2726	LR: 0.000800
Training Epoch: 19 [11264/48750]	Loss: 0.3292	LR: 0.000800
Training Epoch: 19 [11520/48750]	Loss: 0.2796	LR: 0.000800
Training Epoch: 19 [11776/48750]	Loss: 0.2857	LR: 0.000800
Training Epoch: 19 [12032/48750]	Loss: 0.3027	LR: 0.000800
Training Epoch: 19 [12288/48750]	Loss: 0.2601	LR: 0.000800
Training Epoch: 19 [12544/48750]	Loss: 0.2888	LR: 0.000800
Training Epoch: 19 [12800/48750]	Loss: 0.3103	LR: 0.000800
Training Epoch: 19 [13056/48750]	Loss: 0.3014	LR: 0.000800
Training Epoch: 19 [13312/48750]	Loss: 0.3249	LR: 0.000800
Training Epoch: 19 [13568/48750]	Loss: 0.2435	LR: 0.000800
Training Epoch: 19 [13824/48750]	Loss: 0.2835	LR: 0.000800
Training Epoch: 19 [14080/48750]	Loss: 0.3436	LR: 0.000800
Training Epoch: 19 [14336/48750]	Loss: 0.2551	LR: 0.000800
Training Epoch: 19 [14592/48750]	Loss: 0.2936	LR: 0.000800
Training Epoch: 19 [14848/48750]	Loss: 0.3376	LR: 0.000800
Training Epoch: 19 [15104/48750]	Loss: 0.2495	LR: 0.000800
Training Epoch: 19 [15360/48750]	Loss: 0.3491	LR: 0.000800
Training Epoch: 19 [15616/48750]	Loss: 0.2270	LR: 0.000800
Training Epoch: 19 [15872/48750]	Loss: 0.2898	LR: 0.000800
Training Epoch: 19 [16128/48750]	Loss: 0.3576	LR: 0.000800
Training Epoch: 19 [16384/48750]	Loss: 0.2648	LR: 0.000800
Training Epoch: 19 [16640/48750]	Loss: 0.3083	LR: 0.000800
Training Epoch: 19 [16896/48750]	Loss: 0.2750	LR: 0.000800
Training Epoch: 19 [17152/48750]	Loss: 0.2689	LR: 0.000800
Training Epoch: 19 [17408/48750]	Loss: 0.3041	LR: 0.000800
Training Epoch: 19 [17664/48750]	Loss: 0.3316	LR: 0.000800
Training Epoch: 19 [17920/48750]	Loss: 0.3712	LR: 0.000800
Training Epoch: 19 [18176/48750]	Loss: 0.3781	LR: 0.000800
Training Epoch: 19 [18432/48750]	Loss: 0.2781	LR: 0.000800
Training Epoch: 19 [18688/48750]	Loss: 0.2762	LR: 0.000800
Training Epoch: 19 [18944/48750]	Loss: 0.2266	LR: 0.000800
Training Epoch: 19 [19200/48750]	Loss: 0.4234	LR: 0.000800
Training Epoch: 19 [19456/48750]	Loss: 0.3282	LR: 0.000800
Training Epoch: 19 [19712/48750]	Loss: 0.2377	LR: 0.000800
Training Epoch: 19 [19968/48750]	Loss: 0.3040	LR: 0.000800
Training Epoch: 19 [20224/48750]	Loss: 0.2802	LR: 0.000800
Training Epoch: 19 [20480/48750]	Loss: 0.3794	LR: 0.000800
Training Epoch: 19 [20736/48750]	Loss: 0.2732	LR: 0.000800
Training Epoch: 19 [20992/48750]	Loss: 0.2808	LR: 0.000800
Training Epoch: 19 [21248/48750]	Loss: 0.3208	LR: 0.000800
Training Epoch: 19 [21504/48750]	Loss: 0.2317	LR: 0.000800
Training Epoch: 19 [21760/48750]	Loss: 0.2990	LR: 0.000800
Training Epoch: 19 [22016/48750]	Loss: 0.3583	LR: 0.000800
Training Epoch: 19 [22272/48750]	Loss: 0.2921	LR: 0.000800
Training Epoch: 19 [22528/48750]	Loss: 0.2879	LR: 0.000800
Training Epoch: 19 [22784/48750]	Loss: 0.3801	LR: 0.000800
Training Epoch: 19 [23040/48750]	Loss: 0.3626	LR: 0.000800
Training Epoch: 19 [23296/48750]	Loss: 0.3038	LR: 0.000800
Training Epoch: 19 [23552/48750]	Loss: 0.2768	LR: 0.000800
Training Epoch: 19 [23808/48750]	Loss: 0.2967	LR: 0.000800
Training Epoch: 19 [24064/48750]	Loss: 0.3545	LR: 0.000800
Training Epoch: 19 [24320/48750]	Loss: 0.2655	LR: 0.000800
Training Epoch: 19 [24576/48750]	Loss: 0.3299	LR: 0.000800
Training Epoch: 19 [24832/48750]	Loss: 0.3532	LR: 0.000800
Training Epoch: 19 [25088/48750]	Loss: 0.3596	LR: 0.000800
Training Epoch: 19 [25344/48750]	Loss: 0.3330	LR: 0.000800
Training Epoch: 19 [25600/48750]	Loss: 0.2563	LR: 0.000800
Training Epoch: 19 [25856/48750]	Loss: 0.2560	LR: 0.000800
Training Epoch: 19 [26112/48750]	Loss: 0.3359	LR: 0.000800
Training Epoch: 19 [26368/48750]	Loss: 0.2527	LR: 0.000800
Training Epoch: 19 [26624/48750]	Loss: 0.2708	LR: 0.000800
Training Epoch: 19 [26880/48750]	Loss: 0.2767	LR: 0.000800
Training Epoch: 19 [27136/48750]	Loss: 0.2917	LR: 0.000800
Training Epoch: 19 [27392/48750]	Loss: 0.3090	LR: 0.000800
Training Epoch: 19 [27648/48750]	Loss: 0.3062	LR: 0.000800
Training Epoch: 19 [27904/48750]	Loss: 0.3114	LR: 0.000800
Training Epoch: 19 [28160/48750]	Loss: 0.3088	LR: 0.000800
Training Epoch: 19 [28416/48750]	Loss: 0.2977	LR: 0.000800
Training Epoch: 19 [28672/48750]	Loss: 0.3271	LR: 0.000800
Training Epoch: 19 [28928/48750]	Loss: 0.2657	LR: 0.000800
Training Epoch: 19 [29184/48750]	Loss: 0.3883	LR: 0.000800
Training Epoch: 19 [29440/48750]	Loss: 0.3954	LR: 0.000800
Training Epoch: 19 [29696/48750]	Loss: 0.2827	LR: 0.000800
Training Epoch: 19 [29952/48750]	Loss: 0.3503	LR: 0.000800
Training Epoch: 19 [30208/48750]	Loss: 0.3256	LR: 0.000800
Training Epoch: 19 [30464/48750]	Loss: 0.2616	LR: 0.000800
Training Epoch: 19 [30720/48750]	Loss: 0.2885	LR: 0.000800
Training Epoch: 19 [30976/48750]	Loss: 0.2831	LR: 0.000800
Training Epoch: 19 [31232/48750]	Loss: 0.2966	LR: 0.000800
Training Epoch: 19 [31488/48750]	Loss: 0.3051	LR: 0.000800
Training Epoch: 19 [31744/48750]	Loss: 0.2943	LR: 0.000800
Training Epoch: 19 [32000/48750]	Loss: 0.2695	LR: 0.000800
Training Epoch: 19 [32256/48750]	Loss: 0.2698	LR: 0.000800
Training Epoch: 19 [32512/48750]	Loss: 0.3137	LR: 0.000800
Training Epoch: 19 [32768/48750]	Loss: 0.2513	LR: 0.000800
Training Epoch: 19 [33024/48750]	Loss: 0.2782	LR: 0.000800
Training Epoch: 19 [33280/48750]	Loss: 0.2978	LR: 0.000800
Training Epoch: 19 [33536/48750]	Loss: 0.2225	LR: 0.000800
Training Epoch: 19 [33792/48750]	Loss: 0.3768	LR: 0.000800
Training Epoch: 19 [34048/48750]	Loss: 0.4064	LR: 0.000800
Training Epoch: 19 [34304/48750]	Loss: 0.3258	LR: 0.000800
Training Epoch: 19 [34560/48750]	Loss: 0.3236	LR: 0.000800
Training Epoch: 19 [34816/48750]	Loss: 0.2838	LR: 0.000800
Training Epoch: 19 [35072/48750]	Loss: 0.3184	LR: 0.000800
Training Epoch: 19 [35328/48750]	Loss: 0.3522	LR: 0.000800
Training Epoch: 19 [35584/48750]	Loss: 0.2232	LR: 0.000800
Training Epoch: 19 [35840/48750]	Loss: 0.3859	LR: 0.000800
Training Epoch: 19 [36096/48750]	Loss: 0.3050	LR: 0.000800
Training Epoch: 19 [36352/48750]	Loss: 0.2828	LR: 0.000800
Training Epoch: 19 [36608/48750]	Loss: 0.3160	LR: 0.000800
Training Epoch: 19 [36864/48750]	Loss: 0.2964	LR: 0.000800
Training Epoch: 19 [37120/48750]	Loss: 0.3281	LR: 0.000800
Training Epoch: 19 [37376/48750]	Loss: 0.2827	LR: 0.000800
Training Epoch: 19 [37632/48750]	Loss: 0.3049	LR: 0.000800
Training Epoch: 19 [37888/48750]	Loss: 0.2945	LR: 0.000800
Training Epoch: 19 [38144/48750]	Loss: 0.2628	LR: 0.000800
Training Epoch: 19 [38400/48750]	Loss: 0.2918	LR: 0.000800
Training Epoch: 19 [38656/48750]	Loss: 0.2813	LR: 0.000800
Training Epoch: 19 [38912/48750]	Loss: 0.2373	LR: 0.000800
Training Epoch: 19 [39168/48750]	Loss: 0.3044	LR: 0.000800
Training Epoch: 19 [39424/48750]	Loss: 0.3066	LR: 0.000800
Training Epoch: 19 [39680/48750]	Loss: 0.3287	LR: 0.000800
Training Epoch: 19 [39936/48750]	Loss: 0.2910	LR: 0.000800
Training Epoch: 19 [40192/48750]	Loss: 0.3279	LR: 0.000800
Training Epoch: 19 [40448/48750]	Loss: 0.2421	LR: 0.000800
Training Epoch: 19 [40704/48750]	Loss: 0.2969	LR: 0.000800
Training Epoch: 19 [40960/48750]	Loss: 0.3173	LR: 0.000800
Training Epoch: 19 [41216/48750]	Loss: 0.3469	LR: 0.000800
Training Epoch: 19 [41472/48750]	Loss: 0.3153	LR: 0.000800
Training Epoch: 19 [41728/48750]	Loss: 0.2162	LR: 0.000800
Training Epoch: 19 [41984/48750]	Loss: 0.3112	LR: 0.000800
Training Epoch: 19 [42240/48750]	Loss: 0.3805	LR: 0.000800
Training Epoch: 19 [42496/48750]	Loss: 0.2170	LR: 0.000800
Training Epoch: 19 [42752/48750]	Loss: 0.3552	LR: 0.000800
Training Epoch: 19 [43008/48750]	Loss: 0.3248	LR: 0.000800
Training Epoch: 19 [43264/48750]	Loss: 0.2933	LR: 0.000800
Training Epoch: 19 [43520/48750]	Loss: 0.2327	LR: 0.000800
Training Epoch: 19 [43776/48750]	Loss: 0.2807	LR: 0.000800
Training Epoch: 19 [44032/48750]	Loss: 0.2867	LR: 0.000800
Training Epoch: 19 [44288/48750]	Loss: 0.3238	LR: 0.000800
Training Epoch: 19 [44544/48750]	Loss: 0.3963	LR: 0.000800
Training Epoch: 19 [44800/48750]	Loss: 0.2760	LR: 0.000800
Training Epoch: 19 [45056/48750]	Loss: 0.3548	LR: 0.000800
Training Epoch: 19 [45312/48750]	Loss: 0.2766	LR: 0.000800
Training Epoch: 19 [45568/48750]	Loss: 0.3085	LR: 0.000800
Training Epoch: 19 [45824/48750]	Loss: 0.2957	LR: 0.000800
Training Epoch: 19 [46080/48750]	Loss: 0.2996	LR: 0.000800
Training Epoch: 19 [46336/48750]	Loss: 0.2754	LR: 0.000800
Training Epoch: 19 [46592/48750]	Loss: 0.2709	LR: 0.000800
Training Epoch: 19 [46848/48750]	Loss: 0.2961	LR: 0.000800
Training Epoch: 19 [47104/48750]	Loss: 0.2506	LR: 0.000800
Training Epoch: 19 [47360/48750]	Loss: 0.3206	LR: 0.000800
Training Epoch: 19 [47616/48750]	Loss: 0.2818	LR: 0.000800
Training Epoch: 19 [47872/48750]	Loss: 0.2283	LR: 0.000800
Training Epoch: 19 [48128/48750]	Loss: 0.3333	LR: 0.000800
Training Epoch: 19 [48384/48750]	Loss: 0.2937	LR: 0.000800
Training Epoch: 19 [48640/48750]	Loss: 0.2619	LR: 0.000800
Training Epoch: 19 [48750/48750]	Loss: 0.2255	LR: 0.000800
Epoch 19 - Average Train Loss: 0.3024, Train Accuracy: 0.8968
Epoch 19 training time consumed: 27.15s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0014, Accuracy: 0.8790, Time consumed:0.90s
Training Epoch: 20 [256/48750]	Loss: 0.3035	LR: 0.000800
Training Epoch: 20 [512/48750]	Loss: 0.3458	LR: 0.000800
Training Epoch: 20 [768/48750]	Loss: 0.2314	LR: 0.000800
Training Epoch: 20 [1024/48750]	Loss: 0.2445	LR: 0.000800
Training Epoch: 20 [1280/48750]	Loss: 0.3356	LR: 0.000800
Training Epoch: 20 [1536/48750]	Loss: 0.2465	LR: 0.000800
Training Epoch: 20 [1792/48750]	Loss: 0.3236	LR: 0.000800
Training Epoch: 20 [2048/48750]	Loss: 0.2704	LR: 0.000800
Training Epoch: 20 [2304/48750]	Loss: 0.2583	LR: 0.000800
Training Epoch: 20 [2560/48750]	Loss: 0.3395	LR: 0.000800
Training Epoch: 20 [2816/48750]	Loss: 0.2999	LR: 0.000800
Training Epoch: 20 [3072/48750]	Loss: 0.3118	LR: 0.000800
Training Epoch: 20 [3328/48750]	Loss: 0.3577	LR: 0.000800
Training Epoch: 20 [3584/48750]	Loss: 0.2996	LR: 0.000800
Training Epoch: 20 [3840/48750]	Loss: 0.2584	LR: 0.000800
Training Epoch: 20 [4096/48750]	Loss: 0.2770	LR: 0.000800
Training Epoch: 20 [4352/48750]	Loss: 0.3301	LR: 0.000800
Training Epoch: 20 [4608/48750]	Loss: 0.2561	LR: 0.000800
Training Epoch: 20 [4864/48750]	Loss: 0.3144	LR: 0.000800
Training Epoch: 20 [5120/48750]	Loss: 0.3635	LR: 0.000800
Training Epoch: 20 [5376/48750]	Loss: 0.3410	LR: 0.000800
Training Epoch: 20 [5632/48750]	Loss: 0.2815	LR: 0.000800
Training Epoch: 20 [5888/48750]	Loss: 0.2999	LR: 0.000800
Training Epoch: 20 [6144/48750]	Loss: 0.2808	LR: 0.000800
Training Epoch: 20 [6400/48750]	Loss: 0.2625	LR: 0.000800
Training Epoch: 20 [6656/48750]	Loss: 0.3238	LR: 0.000800
Training Epoch: 20 [6912/48750]	Loss: 0.2962	LR: 0.000800
Training Epoch: 20 [7168/48750]	Loss: 0.3018	LR: 0.000800
Training Epoch: 20 [7424/48750]	Loss: 0.3230	LR: 0.000800
Training Epoch: 20 [7680/48750]	Loss: 0.2670	LR: 0.000800
Training Epoch: 20 [7936/48750]	Loss: 0.2476	LR: 0.000800
Training Epoch: 20 [8192/48750]	Loss: 0.2935	LR: 0.000800
Training Epoch: 20 [8448/48750]	Loss: 0.3194	LR: 0.000800
Training Epoch: 20 [8704/48750]	Loss: 0.3510	LR: 0.000800
Training Epoch: 20 [8960/48750]	Loss: 0.3528	LR: 0.000800
Training Epoch: 20 [9216/48750]	Loss: 0.3177	LR: 0.000800
Training Epoch: 20 [9472/48750]	Loss: 0.3030	LR: 0.000800
Training Epoch: 20 [9728/48750]	Loss: 0.2446	LR: 0.000800
Training Epoch: 20 [9984/48750]	Loss: 0.3197	LR: 0.000800
Training Epoch: 20 [10240/48750]	Loss: 0.3026	LR: 0.000800
Training Epoch: 20 [10496/48750]	Loss: 0.2700	LR: 0.000800
Training Epoch: 20 [10752/48750]	Loss: 0.3428	LR: 0.000800
Training Epoch: 20 [11008/48750]	Loss: 0.2699	LR: 0.000800
Training Epoch: 20 [11264/48750]	Loss: 0.2307	LR: 0.000800
Training Epoch: 20 [11520/48750]	Loss: 0.3105	LR: 0.000800
Training Epoch: 20 [11776/48750]	Loss: 0.2855	LR: 0.000800
Training Epoch: 20 [12032/48750]	Loss: 0.2699	LR: 0.000800
Training Epoch: 20 [12288/48750]	Loss: 0.3771	LR: 0.000800
Training Epoch: 20 [12544/48750]	Loss: 0.2977	LR: 0.000800
Training Epoch: 20 [12800/48750]	Loss: 0.3981	LR: 0.000800
Training Epoch: 20 [13056/48750]	Loss: 0.2860	LR: 0.000800
Training Epoch: 20 [13312/48750]	Loss: 0.3475	LR: 0.000800
Training Epoch: 20 [13568/48750]	Loss: 0.3029	LR: 0.000800
Training Epoch: 20 [13824/48750]	Loss: 0.2589	LR: 0.000800
Training Epoch: 20 [14080/48750]	Loss: 0.3154	LR: 0.000800
Training Epoch: 20 [14336/48750]	Loss: 0.3403	LR: 0.000800
Training Epoch: 20 [14592/48750]	Loss: 0.3174	LR: 0.000800
Training Epoch: 20 [14848/48750]	Loss: 0.3850	LR: 0.000800
Training Epoch: 20 [15104/48750]	Loss: 0.2906	LR: 0.000800
Training Epoch: 20 [15360/48750]	Loss: 0.4099	LR: 0.000800
Training Epoch: 20 [15616/48750]	Loss: 0.3121	LR: 0.000800
Training Epoch: 20 [15872/48750]	Loss: 0.3359	LR: 0.000800
Training Epoch: 20 [16128/48750]	Loss: 0.2950	LR: 0.000800
Training Epoch: 20 [16384/48750]	Loss: 0.2538	LR: 0.000800
Training Epoch: 20 [16640/48750]	Loss: 0.3154	LR: 0.000800
Training Epoch: 20 [16896/48750]	Loss: 0.3569	LR: 0.000800
Training Epoch: 20 [17152/48750]	Loss: 0.2863	LR: 0.000800
Training Epoch: 20 [17408/48750]	Loss: 0.2958	LR: 0.000800
Training Epoch: 20 [17664/48750]	Loss: 0.2771	LR: 0.000800
Training Epoch: 20 [17920/48750]	Loss: 0.2622	LR: 0.000800
Training Epoch: 20 [18176/48750]	Loss: 0.2574	LR: 0.000800
Training Epoch: 20 [18432/48750]	Loss: 0.2847	LR: 0.000800
Training Epoch: 20 [18688/48750]	Loss: 0.3041	LR: 0.000800
Training Epoch: 20 [18944/48750]	Loss: 0.2711	LR: 0.000800
Training Epoch: 20 [19200/48750]	Loss: 0.2706	LR: 0.000800
Training Epoch: 20 [19456/48750]	Loss: 0.3557	LR: 0.000800
Training Epoch: 20 [19712/48750]	Loss: 0.2298	LR: 0.000800
Training Epoch: 20 [19968/48750]	Loss: 0.3327	LR: 0.000800
Training Epoch: 20 [20224/48750]	Loss: 0.2809	LR: 0.000800
Training Epoch: 20 [20480/48750]	Loss: 0.2785	LR: 0.000800
Training Epoch: 20 [20736/48750]	Loss: 0.2467	LR: 0.000800
Training Epoch: 20 [20992/48750]	Loss: 0.2600	LR: 0.000800
Training Epoch: 20 [21248/48750]	Loss: 0.2149	LR: 0.000800
Training Epoch: 20 [21504/48750]	Loss: 0.3592	LR: 0.000800
Training Epoch: 20 [21760/48750]	Loss: 0.2789	LR: 0.000800
Training Epoch: 20 [22016/48750]	Loss: 0.3425	LR: 0.000800
Training Epoch: 20 [22272/48750]	Loss: 0.3519	LR: 0.000800
Training Epoch: 20 [22528/48750]	Loss: 0.3503	LR: 0.000800
Training Epoch: 20 [22784/48750]	Loss: 0.3046	LR: 0.000800
Training Epoch: 20 [23040/48750]	Loss: 0.3004	LR: 0.000800
Training Epoch: 20 [23296/48750]	Loss: 0.2729	LR: 0.000800
Training Epoch: 20 [23552/48750]	Loss: 0.3016	LR: 0.000800
Training Epoch: 20 [23808/48750]	Loss: 0.2761	LR: 0.000800
Training Epoch: 20 [24064/48750]	Loss: 0.3061	LR: 0.000800
Training Epoch: 20 [24320/48750]	Loss: 0.3218	LR: 0.000800
Training Epoch: 20 [24576/48750]	Loss: 0.3076	LR: 0.000800
Training Epoch: 20 [24832/48750]	Loss: 0.2839	LR: 0.000800
Training Epoch: 20 [25088/48750]	Loss: 0.2818	LR: 0.000800
Training Epoch: 20 [25344/48750]	Loss: 0.2542	LR: 0.000800
Training Epoch: 20 [25600/48750]	Loss: 0.2711	LR: 0.000800
Training Epoch: 20 [25856/48750]	Loss: 0.2930	LR: 0.000800
Training Epoch: 20 [26112/48750]	Loss: 0.2617	LR: 0.000800
Training Epoch: 20 [26368/48750]	Loss: 0.3610	LR: 0.000800
Training Epoch: 20 [26624/48750]	Loss: 0.3046	LR: 0.000800
Training Epoch: 20 [26880/48750]	Loss: 0.2543	LR: 0.000800
Training Epoch: 20 [27136/48750]	Loss: 0.3431	LR: 0.000800
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Training Epoch: 20 [44800/48750]	Loss: 0.3332	LR: 0.000800
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Training Epoch: 20 [45312/48750]	Loss: 0.3523	LR: 0.000800
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Training Epoch: 20 [45824/48750]	Loss: 0.2888	LR: 0.000800
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Training Epoch: 20 [46336/48750]	Loss: 0.3224	LR: 0.000800
Training Epoch: 20 [46592/48750]	Loss: 0.2138	LR: 0.000800
Training Epoch: 20 [46848/48750]	Loss: 0.3092	LR: 0.000800
Training Epoch: 20 [47104/48750]	Loss: 0.2522	LR: 0.000800
Training Epoch: 20 [47360/48750]	Loss: 0.2229	LR: 0.000800
Training Epoch: 20 [47616/48750]	Loss: 0.3082	LR: 0.000800
Training Epoch: 20 [47872/48750]	Loss: 0.3081	LR: 0.000800
Training Epoch: 20 [48128/48750]	Loss: 0.2307	LR: 0.000800
Training Epoch: 20 [48384/48750]	Loss: 0.3320	LR: 0.000800
Training Epoch: 20 [48640/48750]	Loss: 0.2455	LR: 0.000800
Training Epoch: 20 [48750/48750]	Loss: 0.2885	LR: 0.000800
Epoch 20 - Average Train Loss: 0.3011, Train Accuracy: 0.8978
Epoch 20 training time consumed: 26.94s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0014, Accuracy: 0.8800, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_11h_17m_52s/AllCNN-Cifar10-seed10-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: 88.134765625
Retain Accuracy: 90.12062072753906
Zero-Retain Forget (ZRF): 0.8551923632621765
Membership Inference Attack (MIA): 0.4288
Forget vs Retain Membership Inference Attack (MIA): 0.518
Forget vs Test Membership Inference Attack (MIA): 0.586
Test vs Retain Membership Inference Attack (MIA): 0.5115
Train vs Test Membership Inference Attack (MIA): 0.5165
Forget Set Accuracy (Df): 84.56858825683594
Method Execution Time: 1064.75 seconds
