hello
hello

📌 Retain class distribution for seed 7:
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 7:
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: 2.3483	LR: 0.000000
Training Epoch: 1 [512/48750]	Loss: 2.3625	LR: 0.000524
Training Epoch: 1 [768/48750]	Loss: 2.3278	LR: 0.001047
Training Epoch: 1 [1024/48750]	Loss: 2.3186	LR: 0.001571
Training Epoch: 1 [1280/48750]	Loss: 2.3167	LR: 0.002094
Training Epoch: 1 [1536/48750]	Loss: 2.3320	LR: 0.002618
Training Epoch: 1 [1792/48750]	Loss: 2.3133	LR: 0.003141
Training Epoch: 1 [2048/48750]	Loss: 2.2959	LR: 0.003665
Training Epoch: 1 [2304/48750]	Loss: 2.2333	LR: 0.004188
Training Epoch: 1 [2560/48750]	Loss: 2.2633	LR: 0.004712
Training Epoch: 1 [2816/48750]	Loss: 2.2087	LR: 0.005236
Training Epoch: 1 [3072/48750]	Loss: 2.1793	LR: 0.005759
Training Epoch: 1 [3328/48750]	Loss: 2.1754	LR: 0.006283
Training Epoch: 1 [3584/48750]	Loss: 2.1455	LR: 0.006806
Training Epoch: 1 [3840/48750]	Loss: 2.1180	LR: 0.007330
Training Epoch: 1 [4096/48750]	Loss: 2.1751	LR: 0.007853
Training Epoch: 1 [4352/48750]	Loss: 2.0941	LR: 0.008377
Training Epoch: 1 [4608/48750]	Loss: 2.1021	LR: 0.008901
Training Epoch: 1 [4864/48750]	Loss: 2.0923	LR: 0.009424
Training Epoch: 1 [5120/48750]	Loss: 2.0878	LR: 0.009948
Training Epoch: 1 [5376/48750]	Loss: 2.0792	LR: 0.010471
Training Epoch: 1 [5632/48750]	Loss: 2.0740	LR: 0.010995
Training Epoch: 1 [5888/48750]	Loss: 2.0088	LR: 0.011518
Training Epoch: 1 [6144/48750]	Loss: 2.0438	LR: 0.012042
Training Epoch: 1 [6400/48750]	Loss: 1.9717	LR: 0.012565
Training Epoch: 1 [6656/48750]	Loss: 1.9947	LR: 0.013089
Training Epoch: 1 [6912/48750]	Loss: 2.0184	LR: 0.013613
Training Epoch: 1 [7168/48750]	Loss: 1.9326	LR: 0.014136
Training Epoch: 1 [7424/48750]	Loss: 1.9688	LR: 0.014660
Training Epoch: 1 [7680/48750]	Loss: 1.9166	LR: 0.015183
Training Epoch: 1 [7936/48750]	Loss: 1.9689	LR: 0.015707
Training Epoch: 1 [8192/48750]	Loss: 1.9241	LR: 0.016230
Training Epoch: 1 [8448/48750]	Loss: 1.8333	LR: 0.016754
Training Epoch: 1 [8704/48750]	Loss: 1.8231	LR: 0.017277
Training Epoch: 1 [8960/48750]	Loss: 1.9382	LR: 0.017801
Training Epoch: 1 [9216/48750]	Loss: 1.8184	LR: 0.018325
Training Epoch: 1 [9472/48750]	Loss: 1.9043	LR: 0.018848
Training Epoch: 1 [9728/48750]	Loss: 1.8842	LR: 0.019372
Training Epoch: 1 [9984/48750]	Loss: 1.8126	LR: 0.019895
Training Epoch: 1 [10240/48750]	Loss: 1.7997	LR: 0.020419
Training Epoch: 1 [10496/48750]	Loss: 1.7875	LR: 0.020942
Training Epoch: 1 [10752/48750]	Loss: 1.8561	LR: 0.021466
Training Epoch: 1 [11008/48750]	Loss: 1.7839	LR: 0.021990
Training Epoch: 1 [11264/48750]	Loss: 1.8184	LR: 0.022513
Training Epoch: 1 [11520/48750]	Loss: 1.8015	LR: 0.023037
Training Epoch: 1 [11776/48750]	Loss: 1.7583	LR: 0.023560
Training Epoch: 1 [12032/48750]	Loss: 1.6891	LR: 0.024084
Training Epoch: 1 [12288/48750]	Loss: 1.7435	LR: 0.024607
Training Epoch: 1 [12544/48750]	Loss: 1.7804	LR: 0.025131
Training Epoch: 1 [12800/48750]	Loss: 1.6994	LR: 0.025654
Training Epoch: 1 [13056/48750]	Loss: 1.7092	LR: 0.026178
Training Epoch: 1 [13312/48750]	Loss: 1.8354	LR: 0.026702
Training Epoch: 1 [13568/48750]	Loss: 1.7600	LR: 0.027225
Training Epoch: 1 [13824/48750]	Loss: 1.7086	LR: 0.027749
Training Epoch: 1 [14080/48750]	Loss: 1.8280	LR: 0.028272
Training Epoch: 1 [14336/48750]	Loss: 1.6413	LR: 0.028796
Training Epoch: 1 [14592/48750]	Loss: 1.7367	LR: 0.029319
Training Epoch: 1 [14848/48750]	Loss: 1.6443	LR: 0.029843
Training Epoch: 1 [15104/48750]	Loss: 1.6864	LR: 0.030366
Training Epoch: 1 [15360/48750]	Loss: 1.7000	LR: 0.030890
Training Epoch: 1 [15616/48750]	Loss: 1.7704	LR: 0.031414
Training Epoch: 1 [15872/48750]	Loss: 1.6234	LR: 0.031937
Training Epoch: 1 [16128/48750]	Loss: 1.6784	LR: 0.032461
Training Epoch: 1 [16384/48750]	Loss: 1.6793	LR: 0.032984
Training Epoch: 1 [16640/48750]	Loss: 1.6984	LR: 0.033508
Training Epoch: 1 [16896/48750]	Loss: 1.6236	LR: 0.034031
Training Epoch: 1 [17152/48750]	Loss: 1.6639	LR: 0.034555
Training Epoch: 1 [17408/48750]	Loss: 1.6286	LR: 0.035079
Training Epoch: 1 [17664/48750]	Loss: 1.6407	LR: 0.035602
Training Epoch: 1 [17920/48750]	Loss: 1.7062	LR: 0.036126
Training Epoch: 1 [18176/48750]	Loss: 1.7557	LR: 0.036649
Training Epoch: 1 [18432/48750]	Loss: 1.6817	LR: 0.037173
Training Epoch: 1 [18688/48750]	Loss: 1.6877	LR: 0.037696
Training Epoch: 1 [18944/48750]	Loss: 1.5949	LR: 0.038220
Training Epoch: 1 [19200/48750]	Loss: 1.5840	LR: 0.038743
Training Epoch: 1 [19456/48750]	Loss: 1.6857	LR: 0.039267
Training Epoch: 1 [19712/48750]	Loss: 1.6044	LR: 0.039791
Training Epoch: 1 [19968/48750]	Loss: 1.6805	LR: 0.040314
Training Epoch: 1 [20224/48750]	Loss: 1.6037	LR: 0.040838
Training Epoch: 1 [20480/48750]	Loss: 1.6870	LR: 0.041361
Training Epoch: 1 [20736/48750]	Loss: 1.5722	LR: 0.041885
Training Epoch: 1 [20992/48750]	Loss: 1.6438	LR: 0.042408
Training Epoch: 1 [21248/48750]	Loss: 1.6503	LR: 0.042932
Training Epoch: 1 [21504/48750]	Loss: 1.5521	LR: 0.043455
Training Epoch: 1 [21760/48750]	Loss: 1.5875	LR: 0.043979
Training Epoch: 1 [22016/48750]	Loss: 1.6470	LR: 0.044503
Training Epoch: 1 [22272/48750]	Loss: 1.5533	LR: 0.045026
Training Epoch: 1 [22528/48750]	Loss: 1.5811	LR: 0.045550
Training Epoch: 1 [22784/48750]	Loss: 1.5390	LR: 0.046073
Training Epoch: 1 [23040/48750]	Loss: 1.6128	LR: 0.046597
Training Epoch: 1 [23296/48750]	Loss: 1.5331	LR: 0.047120
Training Epoch: 1 [23552/48750]	Loss: 1.5396	LR: 0.047644
Training Epoch: 1 [23808/48750]	Loss: 1.5822	LR: 0.048168
Training Epoch: 1 [24064/48750]	Loss: 1.5516	LR: 0.048691
Training Epoch: 1 [24320/48750]	Loss: 1.5000	LR: 0.049215
Training Epoch: 1 [24576/48750]	Loss: 1.5175	LR: 0.049738
Training Epoch: 1 [24832/48750]	Loss: 1.6076	LR: 0.050262
Training Epoch: 1 [25088/48750]	Loss: 1.5797	LR: 0.050785
Training Epoch: 1 [25344/48750]	Loss: 1.5617	LR: 0.051309
Training Epoch: 1 [25600/48750]	Loss: 1.5434	LR: 0.051832
Training Epoch: 1 [25856/48750]	Loss: 1.4647	LR: 0.052356
Training Epoch: 1 [26112/48750]	Loss: 1.5549	LR: 0.052880
Training Epoch: 1 [26368/48750]	Loss: 1.6072	LR: 0.053403
Training Epoch: 1 [26624/48750]	Loss: 1.5934	LR: 0.053927
Training Epoch: 1 [26880/48750]	Loss: 1.4449	LR: 0.054450
Training Epoch: 1 [27136/48750]	Loss: 1.4914	LR: 0.054974
Training Epoch: 1 [27392/48750]	Loss: 1.5639	LR: 0.055497
Training Epoch: 1 [27648/48750]	Loss: 1.4153	LR: 0.056021
Training Epoch: 1 [27904/48750]	Loss: 1.4937	LR: 0.056545
Training Epoch: 1 [28160/48750]	Loss: 1.5828	LR: 0.057068
Training Epoch: 1 [28416/48750]	Loss: 1.5849	LR: 0.057592
Training Epoch: 1 [28672/48750]	Loss: 1.6696	LR: 0.058115
Training Epoch: 1 [28928/48750]	Loss: 1.5029	LR: 0.058639
Training Epoch: 1 [29184/48750]	Loss: 1.4692	LR: 0.059162
Training Epoch: 1 [29440/48750]	Loss: 1.4611	LR: 0.059686
Training Epoch: 1 [29696/48750]	Loss: 1.5632	LR: 0.060209
Training Epoch: 1 [29952/48750]	Loss: 1.4531	LR: 0.060733
Training Epoch: 1 [30208/48750]	Loss: 1.4575	LR: 0.061257
Training Epoch: 1 [30464/48750]	Loss: 1.4420	LR: 0.061780
Training Epoch: 1 [30720/48750]	Loss: 1.6274	LR: 0.062304
Training Epoch: 1 [30976/48750]	Loss: 1.4682	LR: 0.062827
Training Epoch: 1 [31232/48750]	Loss: 1.6794	LR: 0.063351
Training Epoch: 1 [31488/48750]	Loss: 1.5689	LR: 0.063874
Training Epoch: 1 [31744/48750]	Loss: 1.5326	LR: 0.064398
Training Epoch: 1 [32000/48750]	Loss: 1.4615	LR: 0.064921
Training Epoch: 1 [32256/48750]	Loss: 1.4812	LR: 0.065445
Training Epoch: 1 [32512/48750]	Loss: 1.4833	LR: 0.065969
Training Epoch: 1 [32768/48750]	Loss: 1.5209	LR: 0.066492
Training Epoch: 1 [33024/48750]	Loss: 1.4121	LR: 0.067016
Training Epoch: 1 [33280/48750]	Loss: 1.5201	LR: 0.067539
Training Epoch: 1 [33536/48750]	Loss: 1.4418	LR: 0.068063
Training Epoch: 1 [33792/48750]	Loss: 1.4808	LR: 0.068586
Training Epoch: 1 [34048/48750]	Loss: 1.5258	LR: 0.069110
Training Epoch: 1 [34304/48750]	Loss: 1.4779	LR: 0.069634
Training Epoch: 1 [34560/48750]	Loss: 1.3772	LR: 0.070157
Training Epoch: 1 [34816/48750]	Loss: 1.3640	LR: 0.070681
Training Epoch: 1 [35072/48750]	Loss: 1.4476	LR: 0.071204
Training Epoch: 1 [35328/48750]	Loss: 1.4348	LR: 0.071728
Training Epoch: 1 [35584/48750]	Loss: 1.4272	LR: 0.072251
Training Epoch: 1 [35840/48750]	Loss: 1.4793	LR: 0.072775
Training Epoch: 1 [36096/48750]	Loss: 1.5439	LR: 0.073298
Training Epoch: 1 [36352/48750]	Loss: 1.5366	LR: 0.073822
Training Epoch: 1 [36608/48750]	Loss: 1.4751	LR: 0.074346
Training Epoch: 1 [36864/48750]	Loss: 1.4762	LR: 0.074869
Training Epoch: 1 [37120/48750]	Loss: 1.3869	LR: 0.075393
Training Epoch: 1 [37376/48750]	Loss: 1.4588	LR: 0.075916
Training Epoch: 1 [37632/48750]	Loss: 1.5024	LR: 0.076440
Training Epoch: 1 [37888/48750]	Loss: 1.5156	LR: 0.076963
Training Epoch: 1 [38144/48750]	Loss: 1.4189	LR: 0.077487
Training Epoch: 1 [38400/48750]	Loss: 1.4302	LR: 0.078010
Training Epoch: 1 [38656/48750]	Loss: 1.3798	LR: 0.078534
Training Epoch: 1 [38912/48750]	Loss: 1.4759	LR: 0.079058
Training Epoch: 1 [39168/48750]	Loss: 1.5790	LR: 0.079581
Training Epoch: 1 [39424/48750]	Loss: 1.4559	LR: 0.080105
Training Epoch: 1 [39680/48750]	Loss: 1.4305	LR: 0.080628
Training Epoch: 1 [39936/48750]	Loss: 1.4851	LR: 0.081152
Training Epoch: 1 [40192/48750]	Loss: 1.2844	LR: 0.081675
Training Epoch: 1 [40448/48750]	Loss: 1.3851	LR: 0.082199
Training Epoch: 1 [40704/48750]	Loss: 1.3533	LR: 0.082723
Training Epoch: 1 [40960/48750]	Loss: 1.4230	LR: 0.083246
Training Epoch: 1 [41216/48750]	Loss: 1.3431	LR: 0.083770
Training Epoch: 1 [41472/48750]	Loss: 1.3812	LR: 0.084293
Training Epoch: 1 [41728/48750]	Loss: 1.4448	LR: 0.084817
Training Epoch: 1 [41984/48750]	Loss: 1.4101	LR: 0.085340
Training Epoch: 1 [42240/48750]	Loss: 1.4518	LR: 0.085864
Training Epoch: 1 [42496/48750]	Loss: 1.3816	LR: 0.086387
Training Epoch: 1 [42752/48750]	Loss: 1.3666	LR: 0.086911
Training Epoch: 1 [43008/48750]	Loss: 1.4799	LR: 0.087435
Training Epoch: 1 [43264/48750]	Loss: 1.4772	LR: 0.087958
Training Epoch: 1 [43520/48750]	Loss: 1.4305	LR: 0.088482
Training Epoch: 1 [43776/48750]	Loss: 1.4875	LR: 0.089005
Training Epoch: 1 [44032/48750]	Loss: 1.5461	LR: 0.089529
Training Epoch: 1 [44288/48750]	Loss: 1.3854	LR: 0.090052
Training Epoch: 1 [44544/48750]	Loss: 1.5327	LR: 0.090576
Training Epoch: 1 [44800/48750]	Loss: 1.4862	LR: 0.091099
Training Epoch: 1 [45056/48750]	Loss: 1.4051	LR: 0.091623
Training Epoch: 1 [45312/48750]	Loss: 1.5110	LR: 0.092147
Training Epoch: 1 [45568/48750]	Loss: 1.3278	LR: 0.092670
Training Epoch: 1 [45824/48750]	Loss: 1.5111	LR: 0.093194
Training Epoch: 1 [46080/48750]	Loss: 1.3848	LR: 0.093717
Training Epoch: 1 [46336/48750]	Loss: 1.3591	LR: 0.094241
Training Epoch: 1 [46592/48750]	Loss: 1.4440	LR: 0.094764
Training Epoch: 1 [46848/48750]	Loss: 1.3758	LR: 0.095288
Training Epoch: 1 [47104/48750]	Loss: 1.2386	LR: 0.095812
Training Epoch: 1 [47360/48750]	Loss: 1.4373	LR: 0.096335
Training Epoch: 1 [47616/48750]	Loss: 1.3100	LR: 0.096859
Training Epoch: 1 [47872/48750]	Loss: 1.2727	LR: 0.097382
Training Epoch: 1 [48128/48750]	Loss: 1.3162	LR: 0.097906
Training Epoch: 1 [48384/48750]	Loss: 1.2670	LR: 0.098429
Training Epoch: 1 [48640/48750]	Loss: 1.2994	LR: 0.098953
Training Epoch: 1 [48750/48750]	Loss: 1.3619	LR: 0.099476
Epoch 1 - Average Train Loss: 1.6520, Train Accuracy: 0.3873
Epoch 1 training time consumed: 27.97s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0072, Accuracy: 0.4327, Time consumed:1.09s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_10h_23m_26s/AllCNN-Cifar10-seed7-ret75-1-best.pth
Training Epoch: 2 [256/48750]	Loss: 1.3306	LR: 0.100000
Training Epoch: 2 [512/48750]	Loss: 1.2584	LR: 0.100000
Training Epoch: 2 [768/48750]	Loss: 1.3363	LR: 0.100000
Training Epoch: 2 [1024/48750]	Loss: 1.2949	LR: 0.100000
Training Epoch: 2 [1280/48750]	Loss: 1.2934	LR: 0.100000
Training Epoch: 2 [1536/48750]	Loss: 1.2797	LR: 0.100000
Training Epoch: 2 [1792/48750]	Loss: 1.3649	LR: 0.100000
Training Epoch: 2 [2048/48750]	Loss: 1.3554	LR: 0.100000
Training Epoch: 2 [2304/48750]	Loss: 1.2813	LR: 0.100000
Training Epoch: 2 [2560/48750]	Loss: 1.4002	LR: 0.100000
Training Epoch: 2 [2816/48750]	Loss: 1.2939	LR: 0.100000
Training Epoch: 2 [3072/48750]	Loss: 1.3374	LR: 0.100000
Training Epoch: 2 [3328/48750]	Loss: 1.2266	LR: 0.100000
Training Epoch: 2 [3584/48750]	Loss: 1.2707	LR: 0.100000
Training Epoch: 2 [3840/48750]	Loss: 1.2734	LR: 0.100000
Training Epoch: 2 [4096/48750]	Loss: 1.2585	LR: 0.100000
Training Epoch: 2 [4352/48750]	Loss: 1.3549	LR: 0.100000
Training Epoch: 2 [4608/48750]	Loss: 1.1920	LR: 0.100000
Training Epoch: 2 [4864/48750]	Loss: 1.2738	LR: 0.100000
Training Epoch: 2 [5120/48750]	Loss: 1.3225	LR: 0.100000
Training Epoch: 2 [5376/48750]	Loss: 1.3025	LR: 0.100000
Training Epoch: 2 [5632/48750]	Loss: 1.3839	LR: 0.100000
Training Epoch: 2 [5888/48750]	Loss: 1.3278	LR: 0.100000
Training Epoch: 2 [6144/48750]	Loss: 1.3244	LR: 0.100000
Training Epoch: 2 [6400/48750]	Loss: 1.3065	LR: 0.100000
Training Epoch: 2 [6656/48750]	Loss: 1.2837	LR: 0.100000
Training Epoch: 2 [6912/48750]	Loss: 1.2937	LR: 0.100000
Training Epoch: 2 [7168/48750]	Loss: 1.1998	LR: 0.100000
Training Epoch: 2 [7424/48750]	Loss: 1.2653	LR: 0.100000
Training Epoch: 2 [7680/48750]	Loss: 1.2774	LR: 0.100000
Training Epoch: 2 [7936/48750]	Loss: 1.2413	LR: 0.100000
Training Epoch: 2 [8192/48750]	Loss: 1.3124	LR: 0.100000
Training Epoch: 2 [8448/48750]	Loss: 1.2664	LR: 0.100000
Training Epoch: 2 [8704/48750]	Loss: 1.2237	LR: 0.100000
Training Epoch: 2 [8960/48750]	Loss: 1.2791	LR: 0.100000
Training Epoch: 2 [9216/48750]	Loss: 1.2697	LR: 0.100000
Training Epoch: 2 [9472/48750]	Loss: 1.1826	LR: 0.100000
Training Epoch: 2 [9728/48750]	Loss: 1.2764	LR: 0.100000
Training Epoch: 2 [9984/48750]	Loss: 1.3266	LR: 0.100000
Training Epoch: 2 [10240/48750]	Loss: 1.3787	LR: 0.100000
Training Epoch: 2 [10496/48750]	Loss: 1.3574	LR: 0.100000
Training Epoch: 2 [10752/48750]	Loss: 1.2672	LR: 0.100000
Training Epoch: 2 [11008/48750]	Loss: 1.2331	LR: 0.100000
Training Epoch: 2 [11264/48750]	Loss: 1.3156	LR: 0.100000
Training Epoch: 2 [11520/48750]	Loss: 1.0930	LR: 0.100000
Training Epoch: 2 [11776/48750]	Loss: 1.2711	LR: 0.100000
Training Epoch: 2 [12032/48750]	Loss: 1.2217	LR: 0.100000
Training Epoch: 2 [12288/48750]	Loss: 1.2166	LR: 0.100000
Training Epoch: 2 [12544/48750]	Loss: 1.1852	LR: 0.100000
Training Epoch: 2 [12800/48750]	Loss: 1.2922	LR: 0.100000
Training Epoch: 2 [13056/48750]	Loss: 1.2322	LR: 0.100000
Training Epoch: 2 [13312/48750]	Loss: 1.3003	LR: 0.100000
Training Epoch: 2 [13568/48750]	Loss: 1.1391	LR: 0.100000
Training Epoch: 2 [13824/48750]	Loss: 1.1629	LR: 0.100000
Training Epoch: 2 [14080/48750]	Loss: 1.2467	LR: 0.100000
Training Epoch: 2 [14336/48750]	Loss: 1.2557	LR: 0.100000
Training Epoch: 2 [14592/48750]	Loss: 1.1365	LR: 0.100000
Training Epoch: 2 [14848/48750]	Loss: 1.2896	LR: 0.100000
Training Epoch: 2 [15104/48750]	Loss: 1.1534	LR: 0.100000
Training Epoch: 2 [15360/48750]	Loss: 1.2359	LR: 0.100000
Training Epoch: 2 [15616/48750]	Loss: 1.1920	LR: 0.100000
Training Epoch: 2 [15872/48750]	Loss: 1.2406	LR: 0.100000
Training Epoch: 2 [16128/48750]	Loss: 1.1173	LR: 0.100000
Training Epoch: 2 [16384/48750]	Loss: 1.2381	LR: 0.100000
Training Epoch: 2 [16640/48750]	Loss: 1.2102	LR: 0.100000
Training Epoch: 2 [16896/48750]	Loss: 1.2251	LR: 0.100000
Training Epoch: 2 [17152/48750]	Loss: 1.1259	LR: 0.100000
Training Epoch: 2 [17408/48750]	Loss: 1.2685	LR: 0.100000
Training Epoch: 2 [17664/48750]	Loss: 1.1075	LR: 0.100000
Training Epoch: 2 [17920/48750]	Loss: 1.1771	LR: 0.100000
Training Epoch: 2 [18176/48750]	Loss: 1.2094	LR: 0.100000
Training Epoch: 2 [18432/48750]	Loss: 1.2334	LR: 0.100000
Training Epoch: 2 [18688/48750]	Loss: 1.0632	LR: 0.100000
Training Epoch: 2 [18944/48750]	Loss: 1.3087	LR: 0.100000
Training Epoch: 2 [19200/48750]	Loss: 1.1459	LR: 0.100000
Training Epoch: 2 [19456/48750]	Loss: 1.1401	LR: 0.100000
Training Epoch: 2 [19712/48750]	Loss: 1.2258	LR: 0.100000
Training Epoch: 2 [19968/48750]	Loss: 1.2152	LR: 0.100000
Training Epoch: 2 [20224/48750]	Loss: 1.3036	LR: 0.100000
Training Epoch: 2 [20480/48750]	Loss: 1.1445	LR: 0.100000
Training Epoch: 2 [20736/48750]	Loss: 1.2553	LR: 0.100000
Training Epoch: 2 [20992/48750]	Loss: 1.1385	LR: 0.100000
Training Epoch: 2 [21248/48750]	Loss: 1.1951	LR: 0.100000
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Training Epoch: 2 [47872/48750]	Loss: 1.1930	LR: 0.100000
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Training Epoch: 2 [48640/48750]	Loss: 1.1449	LR: 0.100000
Training Epoch: 2 [48750/48750]	Loss: 1.0824	LR: 0.100000
Epoch 2 - Average Train Loss: 1.1819, Train Accuracy: 0.5725
Epoch 2 training time consumed: 27.19s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0058, Accuracy: 0.5074, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_10h_23m_26s/AllCNN-Cifar10-seed7-ret75-2-best.pth
Training Epoch: 3 [256/48750]	Loss: 1.1526	LR: 0.100000
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Training Epoch: 3 [48384/48750]	Loss: 0.9406	LR: 0.100000
Training Epoch: 3 [48640/48750]	Loss: 1.0029	LR: 0.100000
Training Epoch: 3 [48750/48750]	Loss: 0.9833	LR: 0.100000
Epoch 3 - Average Train Loss: 0.9871, Train Accuracy: 0.6491
Epoch 3 training time consumed: 27.21s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0044, Accuracy: 0.6241, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_10h_23m_26s/AllCNN-Cifar10-seed7-ret75-3-best.pth
Training Epoch: 4 [256/48750]	Loss: 0.8891	LR: 0.100000
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Training Epoch: 4 [48750/48750]	Loss: 0.9650	LR: 0.100000
Epoch 4 - Average Train Loss: 0.8534, Train Accuracy: 0.6988
Epoch 4 training time consumed: 27.11s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0041, Accuracy: 0.6557, Time consumed:0.93s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_10h_23m_26s/AllCNN-Cifar10-seed7-ret75-4-best.pth
Training Epoch: 5 [256/48750]	Loss: 0.8171	LR: 0.100000
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Training Epoch: 5 [48750/48750]	Loss: 0.6128	LR: 0.100000
Epoch 5 - Average Train Loss: 0.7475, Train Accuracy: 0.7397
Epoch 5 training time consumed: 27.18s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0029, Accuracy: 0.7485, Time consumed:0.90s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_10h_23m_26s/AllCNN-Cifar10-seed7-ret75-5-best.pth
Training Epoch: 6 [256/48750]	Loss: 0.7561	LR: 0.100000
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Training Epoch: 6 [48750/48750]	Loss: 0.8288	LR: 0.100000
Epoch 6 - Average Train Loss: 0.6770, Train Accuracy: 0.7637
Epoch 6 training time consumed: 27.18s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0040, Accuracy: 0.6726, Time consumed:0.98s
Training Epoch: 7 [256/48750]	Loss: 0.6162	LR: 0.100000
Training Epoch: 7 [512/48750]	Loss: 0.7648	LR: 0.100000
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Training Epoch: 7 [1024/48750]	Loss: 0.7200	LR: 0.100000
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Training Epoch: 7 [2816/48750]	Loss: 0.6421	LR: 0.100000
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Training Epoch: 7 [48128/48750]	Loss: 0.6119	LR: 0.100000
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Training Epoch: 7 [48750/48750]	Loss: 0.7147	LR: 0.100000
Epoch 7 - Average Train Loss: 0.6306, Train Accuracy: 0.7808
Epoch 7 training time consumed: 27.36s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0028, Accuracy: 0.7637, Time consumed:0.90s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_10h_23m_26s/AllCNN-Cifar10-seed7-ret75-7-best.pth
Training Epoch: 8 [256/48750]	Loss: 0.5548	LR: 0.020000
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Training Epoch: 8 [28672/48750]	Loss: 0.4424	LR: 0.020000
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Training Epoch: 8 [32512/48750]	Loss: 0.4656	LR: 0.020000
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Training Epoch: 8 [45056/48750]	Loss: 0.5292	LR: 0.020000
Training Epoch: 8 [45312/48750]	Loss: 0.4872	LR: 0.020000
Training Epoch: 8 [45568/48750]	Loss: 0.4455	LR: 0.020000
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Training Epoch: 8 [46080/48750]	Loss: 0.5066	LR: 0.020000
Training Epoch: 8 [46336/48750]	Loss: 0.4612	LR: 0.020000
Training Epoch: 8 [46592/48750]	Loss: 0.4659	LR: 0.020000
Training Epoch: 8 [46848/48750]	Loss: 0.4028	LR: 0.020000
Training Epoch: 8 [47104/48750]	Loss: 0.3899	LR: 0.020000
Training Epoch: 8 [47360/48750]	Loss: 0.3994	LR: 0.020000
Training Epoch: 8 [47616/48750]	Loss: 0.4334	LR: 0.020000
Training Epoch: 8 [47872/48750]	Loss: 0.3915	LR: 0.020000
Training Epoch: 8 [48128/48750]	Loss: 0.3950	LR: 0.020000
Training Epoch: 8 [48384/48750]	Loss: 0.4301	LR: 0.020000
Training Epoch: 8 [48640/48750]	Loss: 0.4549	LR: 0.020000
Training Epoch: 8 [48750/48750]	Loss: 0.5090	LR: 0.020000
Epoch 8 - Average Train Loss: 0.4793, Train Accuracy: 0.8345
Epoch 8 training time consumed: 27.21s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0019, Accuracy: 0.8402, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_10h_23m_26s/AllCNN-Cifar10-seed7-ret75-8-best.pth
Training Epoch: 9 [256/48750]	Loss: 0.4107	LR: 0.020000
Training Epoch: 9 [512/48750]	Loss: 0.4679	LR: 0.020000
Training Epoch: 9 [768/48750]	Loss: 0.2998	LR: 0.020000
Training Epoch: 9 [1024/48750]	Loss: 0.3644	LR: 0.020000
Training Epoch: 9 [1280/48750]	Loss: 0.4132	LR: 0.020000
Training Epoch: 9 [1536/48750]	Loss: 0.4939	LR: 0.020000
Training Epoch: 9 [1792/48750]	Loss: 0.4606	LR: 0.020000
Training Epoch: 9 [2048/48750]	Loss: 0.4890	LR: 0.020000
Training Epoch: 9 [2304/48750]	Loss: 0.2926	LR: 0.020000
Training Epoch: 9 [2560/48750]	Loss: 0.4182	LR: 0.020000
Training Epoch: 9 [2816/48750]	Loss: 0.4640	LR: 0.020000
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Training Epoch: 9 [46336/48750]	Loss: 0.4580	LR: 0.020000
Training Epoch: 9 [46592/48750]	Loss: 0.5185	LR: 0.020000
Training Epoch: 9 [46848/48750]	Loss: 0.4589	LR: 0.020000
Training Epoch: 9 [47104/48750]	Loss: 0.3616	LR: 0.020000
Training Epoch: 9 [47360/48750]	Loss: 0.4064	LR: 0.020000
Training Epoch: 9 [47616/48750]	Loss: 0.3992	LR: 0.020000
Training Epoch: 9 [47872/48750]	Loss: 0.4599	LR: 0.020000
Training Epoch: 9 [48128/48750]	Loss: 0.4025	LR: 0.020000
Training Epoch: 9 [48384/48750]	Loss: 0.4768	LR: 0.020000
Training Epoch: 9 [48640/48750]	Loss: 0.3790	LR: 0.020000
Training Epoch: 9 [48750/48750]	Loss: 0.5617	LR: 0.020000
Epoch 9 - Average Train Loss: 0.4331, Train Accuracy: 0.8504
Epoch 9 training time consumed: 27.14s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0017, Accuracy: 0.8554, Time consumed:0.92s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_10h_23m_26s/AllCNN-Cifar10-seed7-ret75-9-best.pth
Training Epoch: 10 [256/48750]	Loss: 0.3792	LR: 0.020000
Training Epoch: 10 [512/48750]	Loss: 0.4099	LR: 0.020000
Training Epoch: 10 [768/48750]	Loss: 0.4214	LR: 0.020000
Training Epoch: 10 [1024/48750]	Loss: 0.4604	LR: 0.020000
Training Epoch: 10 [1280/48750]	Loss: 0.4669	LR: 0.020000
Training Epoch: 10 [1536/48750]	Loss: 0.4309	LR: 0.020000
Training Epoch: 10 [1792/48750]	Loss: 0.4269	LR: 0.020000
Training Epoch: 10 [2048/48750]	Loss: 0.4392	LR: 0.020000
Training Epoch: 10 [2304/48750]	Loss: 0.4302	LR: 0.020000
Training Epoch: 10 [2560/48750]	Loss: 0.3687	LR: 0.020000
Training Epoch: 10 [2816/48750]	Loss: 0.3905	LR: 0.020000
Training Epoch: 10 [3072/48750]	Loss: 0.3560	LR: 0.020000
Training Epoch: 10 [3328/48750]	Loss: 0.4126	LR: 0.020000
Training Epoch: 10 [3584/48750]	Loss: 0.4946	LR: 0.020000
Training Epoch: 10 [3840/48750]	Loss: 0.4456	LR: 0.020000
Training Epoch: 10 [4096/48750]	Loss: 0.4553	LR: 0.020000
Training Epoch: 10 [4352/48750]	Loss: 0.3613	LR: 0.020000
Training Epoch: 10 [4608/48750]	Loss: 0.3887	LR: 0.020000
Training Epoch: 10 [4864/48750]	Loss: 0.3462	LR: 0.020000
Training Epoch: 10 [5120/48750]	Loss: 0.3561	LR: 0.020000
Training Epoch: 10 [5376/48750]	Loss: 0.3434	LR: 0.020000
Training Epoch: 10 [5632/48750]	Loss: 0.4164	LR: 0.020000
Training Epoch: 10 [5888/48750]	Loss: 0.3759	LR: 0.020000
Training Epoch: 10 [6144/48750]	Loss: 0.3715	LR: 0.020000
Training Epoch: 10 [6400/48750]	Loss: 0.3966	LR: 0.020000
Training Epoch: 10 [6656/48750]	Loss: 0.4063	LR: 0.020000
Training Epoch: 10 [6912/48750]	Loss: 0.3603	LR: 0.020000
Training Epoch: 10 [7168/48750]	Loss: 0.4265	LR: 0.020000
Training Epoch: 10 [7424/48750]	Loss: 0.3196	LR: 0.020000
Training Epoch: 10 [7680/48750]	Loss: 0.4442	LR: 0.020000
Training Epoch: 10 [7936/48750]	Loss: 0.4365	LR: 0.020000
Training Epoch: 10 [8192/48750]	Loss: 0.4382	LR: 0.020000
Training Epoch: 10 [8448/48750]	Loss: 0.4670	LR: 0.020000
Training Epoch: 10 [8704/48750]	Loss: 0.3413	LR: 0.020000
Training Epoch: 10 [8960/48750]	Loss: 0.3773	LR: 0.020000
Training Epoch: 10 [9216/48750]	Loss: 0.4643	LR: 0.020000
Training Epoch: 10 [9472/48750]	Loss: 0.3792	LR: 0.020000
Training Epoch: 10 [9728/48750]	Loss: 0.3847	LR: 0.020000
Training Epoch: 10 [9984/48750]	Loss: 0.4260	LR: 0.020000
Training Epoch: 10 [10240/48750]	Loss: 0.3831	LR: 0.020000
Training Epoch: 10 [10496/48750]	Loss: 0.3646	LR: 0.020000
Training Epoch: 10 [10752/48750]	Loss: 0.3806	LR: 0.020000
Training Epoch: 10 [11008/48750]	Loss: 0.3583	LR: 0.020000
Training Epoch: 10 [11264/48750]	Loss: 0.3476	LR: 0.020000
Training Epoch: 10 [11520/48750]	Loss: 0.3899	LR: 0.020000
Training Epoch: 10 [11776/48750]	Loss: 0.4500	LR: 0.020000
Training Epoch: 10 [12032/48750]	Loss: 0.4072	LR: 0.020000
Training Epoch: 10 [12288/48750]	Loss: 0.3958	LR: 0.020000
Training Epoch: 10 [12544/48750]	Loss: 0.4460	LR: 0.020000
Training Epoch: 10 [12800/48750]	Loss: 0.3654	LR: 0.020000
Training Epoch: 10 [13056/48750]	Loss: 0.4030	LR: 0.020000
Training Epoch: 10 [13312/48750]	Loss: 0.3351	LR: 0.020000
Training Epoch: 10 [13568/48750]	Loss: 0.4110	LR: 0.020000
Training Epoch: 10 [13824/48750]	Loss: 0.4985	LR: 0.020000
Training Epoch: 10 [14080/48750]	Loss: 0.3654	LR: 0.020000
Training Epoch: 10 [14336/48750]	Loss: 0.3571	LR: 0.020000
Training Epoch: 10 [14592/48750]	Loss: 0.4384	LR: 0.020000
Training Epoch: 10 [14848/48750]	Loss: 0.4763	LR: 0.020000
Training Epoch: 10 [15104/48750]	Loss: 0.4458	LR: 0.020000
Training Epoch: 10 [15360/48750]	Loss: 0.4941	LR: 0.020000
Training Epoch: 10 [15616/48750]	Loss: 0.4248	LR: 0.020000
Training Epoch: 10 [15872/48750]	Loss: 0.4045	LR: 0.020000
Training Epoch: 10 [16128/48750]	Loss: 0.4426	LR: 0.020000
Training Epoch: 10 [16384/48750]	Loss: 0.3910	LR: 0.020000
Training Epoch: 10 [16640/48750]	Loss: 0.4881	LR: 0.020000
Training Epoch: 10 [16896/48750]	Loss: 0.4170	LR: 0.020000
Training Epoch: 10 [17152/48750]	Loss: 0.3919	LR: 0.020000
Training Epoch: 10 [17408/48750]	Loss: 0.3264	LR: 0.020000
Training Epoch: 10 [17664/48750]	Loss: 0.3962	LR: 0.020000
Training Epoch: 10 [17920/48750]	Loss: 0.3542	LR: 0.020000
Training Epoch: 10 [18176/48750]	Loss: 0.5065	LR: 0.020000
Training Epoch: 10 [18432/48750]	Loss: 0.3940	LR: 0.020000
Training Epoch: 10 [18688/48750]	Loss: 0.4918	LR: 0.020000
Training Epoch: 10 [18944/48750]	Loss: 0.3858	LR: 0.020000
Training Epoch: 10 [19200/48750]	Loss: 0.4682	LR: 0.020000
Training Epoch: 10 [19456/48750]	Loss: 0.3816	LR: 0.020000
Training Epoch: 10 [19712/48750]	Loss: 0.3875	LR: 0.020000
Training Epoch: 10 [19968/48750]	Loss: 0.5001	LR: 0.020000
Training Epoch: 10 [20224/48750]	Loss: 0.4474	LR: 0.020000
Training Epoch: 10 [20480/48750]	Loss: 0.4276	LR: 0.020000
Training Epoch: 10 [20736/48750]	Loss: 0.4369	LR: 0.020000
Training Epoch: 10 [20992/48750]	Loss: 0.4105	LR: 0.020000
Training Epoch: 10 [21248/48750]	Loss: 0.4594	LR: 0.020000
Training Epoch: 10 [21504/48750]	Loss: 0.4456	LR: 0.020000
Training Epoch: 10 [21760/48750]	Loss: 0.3434	LR: 0.020000
Training Epoch: 10 [22016/48750]	Loss: 0.4141	LR: 0.020000
Training Epoch: 10 [22272/48750]	Loss: 0.3303	LR: 0.020000
Training Epoch: 10 [22528/48750]	Loss: 0.3853	LR: 0.020000
Training Epoch: 10 [22784/48750]	Loss: 0.4459	LR: 0.020000
Training Epoch: 10 [23040/48750]	Loss: 0.3831	LR: 0.020000
Training Epoch: 10 [23296/48750]	Loss: 0.3611	LR: 0.020000
Training Epoch: 10 [23552/48750]	Loss: 0.3848	LR: 0.020000
Training Epoch: 10 [23808/48750]	Loss: 0.4970	LR: 0.020000
Training Epoch: 10 [24064/48750]	Loss: 0.4021	LR: 0.020000
Training Epoch: 10 [24320/48750]	Loss: 0.4842	LR: 0.020000
Training Epoch: 10 [24576/48750]	Loss: 0.4634	LR: 0.020000
Training Epoch: 10 [24832/48750]	Loss: 0.4517	LR: 0.020000
Training Epoch: 10 [25088/48750]	Loss: 0.4165	LR: 0.020000
Training Epoch: 10 [25344/48750]	Loss: 0.3405	LR: 0.020000
Training Epoch: 10 [25600/48750]	Loss: 0.4243	LR: 0.020000
Training Epoch: 10 [25856/48750]	Loss: 0.3690	LR: 0.020000
Training Epoch: 10 [26112/48750]	Loss: 0.2956	LR: 0.020000
Training Epoch: 10 [26368/48750]	Loss: 0.4269	LR: 0.020000
Training Epoch: 10 [26624/48750]	Loss: 0.4309	LR: 0.020000
Training Epoch: 10 [26880/48750]	Loss: 0.4465	LR: 0.020000
Training Epoch: 10 [27136/48750]	Loss: 0.4203	LR: 0.020000
Training Epoch: 10 [27392/48750]	Loss: 0.4271	LR: 0.020000
Training Epoch: 10 [27648/48750]	Loss: 0.4196	LR: 0.020000
Training Epoch: 10 [27904/48750]	Loss: 0.3477	LR: 0.020000
Training Epoch: 10 [28160/48750]	Loss: 0.4300	LR: 0.020000
Training Epoch: 10 [28416/48750]	Loss: 0.4822	LR: 0.020000
Training Epoch: 10 [28672/48750]	Loss: 0.3586	LR: 0.020000
Training Epoch: 10 [28928/48750]	Loss: 0.4321	LR: 0.020000
Training Epoch: 10 [29184/48750]	Loss: 0.4018	LR: 0.020000
Training Epoch: 10 [29440/48750]	Loss: 0.3438	LR: 0.020000
Training Epoch: 10 [29696/48750]	Loss: 0.4349	LR: 0.020000
Training Epoch: 10 [29952/48750]	Loss: 0.4316	LR: 0.020000
Training Epoch: 10 [30208/48750]	Loss: 0.4214	LR: 0.020000
Training Epoch: 10 [30464/48750]	Loss: 0.5108	LR: 0.020000
Training Epoch: 10 [30720/48750]	Loss: 0.4128	LR: 0.020000
Training Epoch: 10 [30976/48750]	Loss: 0.3730	LR: 0.020000
Training Epoch: 10 [31232/48750]	Loss: 0.4421	LR: 0.020000
Training Epoch: 10 [31488/48750]	Loss: 0.3772	LR: 0.020000
Training Epoch: 10 [31744/48750]	Loss: 0.4161	LR: 0.020000
Training Epoch: 10 [32000/48750]	Loss: 0.3233	LR: 0.020000
Training Epoch: 10 [32256/48750]	Loss: 0.4696	LR: 0.020000
Training Epoch: 10 [32512/48750]	Loss: 0.3780	LR: 0.020000
Training Epoch: 10 [32768/48750]	Loss: 0.4158	LR: 0.020000
Training Epoch: 10 [33024/48750]	Loss: 0.4691	LR: 0.020000
Training Epoch: 10 [33280/48750]	Loss: 0.4266	LR: 0.020000
Training Epoch: 10 [33536/48750]	Loss: 0.3923	LR: 0.020000
Training Epoch: 10 [33792/48750]	Loss: 0.4253	LR: 0.020000
Training Epoch: 10 [34048/48750]	Loss: 0.4575	LR: 0.020000
Training Epoch: 10 [34304/48750]	Loss: 0.5274	LR: 0.020000
Training Epoch: 10 [34560/48750]	Loss: 0.3852	LR: 0.020000
Training Epoch: 10 [34816/48750]	Loss: 0.4337	LR: 0.020000
Training Epoch: 10 [35072/48750]	Loss: 0.3997	LR: 0.020000
Training Epoch: 10 [35328/48750]	Loss: 0.5371	LR: 0.020000
Training Epoch: 10 [35584/48750]	Loss: 0.4048	LR: 0.020000
Training Epoch: 10 [35840/48750]	Loss: 0.4554	LR: 0.020000
Training Epoch: 10 [36096/48750]	Loss: 0.3653	LR: 0.020000
Training Epoch: 10 [36352/48750]	Loss: 0.4099	LR: 0.020000
Training Epoch: 10 [36608/48750]	Loss: 0.3821	LR: 0.020000
Training Epoch: 10 [36864/48750]	Loss: 0.5759	LR: 0.020000
Training Epoch: 10 [37120/48750]	Loss: 0.4040	LR: 0.020000
Training Epoch: 10 [37376/48750]	Loss: 0.3483	LR: 0.020000
Training Epoch: 10 [37632/48750]	Loss: 0.3721	LR: 0.020000
Training Epoch: 10 [37888/48750]	Loss: 0.3509	LR: 0.020000
Training Epoch: 10 [38144/48750]	Loss: 0.3636	LR: 0.020000
Training Epoch: 10 [38400/48750]	Loss: 0.3949	LR: 0.020000
Training Epoch: 10 [38656/48750]	Loss: 0.3538	LR: 0.020000
Training Epoch: 10 [38912/48750]	Loss: 0.3942	LR: 0.020000
Training Epoch: 10 [39168/48750]	Loss: 0.4220	LR: 0.020000
Training Epoch: 10 [39424/48750]	Loss: 0.4586	LR: 0.020000
Training Epoch: 10 [39680/48750]	Loss: 0.3304	LR: 0.020000
Training Epoch: 10 [39936/48750]	Loss: 0.3711	LR: 0.020000
Training Epoch: 10 [40192/48750]	Loss: 0.4246	LR: 0.020000
Training Epoch: 10 [40448/48750]	Loss: 0.3735	LR: 0.020000
Training Epoch: 10 [40704/48750]	Loss: 0.3546	LR: 0.020000
Training Epoch: 10 [40960/48750]	Loss: 0.3638	LR: 0.020000
Training Epoch: 10 [41216/48750]	Loss: 0.4033	LR: 0.020000
Training Epoch: 10 [41472/48750]	Loss: 0.4884	LR: 0.020000
Training Epoch: 10 [41728/48750]	Loss: 0.4255	LR: 0.020000
Training Epoch: 10 [41984/48750]	Loss: 0.3715	LR: 0.020000
Training Epoch: 10 [42240/48750]	Loss: 0.5193	LR: 0.020000
Training Epoch: 10 [42496/48750]	Loss: 0.4387	LR: 0.020000
Training Epoch: 10 [42752/48750]	Loss: 0.4341	LR: 0.020000
Training Epoch: 10 [43008/48750]	Loss: 0.4220	LR: 0.020000
Training Epoch: 10 [43264/48750]	Loss: 0.4047	LR: 0.020000
Training Epoch: 10 [43520/48750]	Loss: 0.3786	LR: 0.020000
Training Epoch: 10 [43776/48750]	Loss: 0.5013	LR: 0.020000
Training Epoch: 10 [44032/48750]	Loss: 0.3794	LR: 0.020000
Training Epoch: 10 [44288/48750]	Loss: 0.4117	LR: 0.020000
Training Epoch: 10 [44544/48750]	Loss: 0.4261	LR: 0.020000
Training Epoch: 10 [44800/48750]	Loss: 0.4451	LR: 0.020000
Training Epoch: 10 [45056/48750]	Loss: 0.4628	LR: 0.020000
Training Epoch: 10 [45312/48750]	Loss: 0.4160	LR: 0.020000
Training Epoch: 10 [45568/48750]	Loss: 0.3911	LR: 0.020000
Training Epoch: 10 [45824/48750]	Loss: 0.4035	LR: 0.020000
Training Epoch: 10 [46080/48750]	Loss: 0.4403	LR: 0.020000
Training Epoch: 10 [46336/48750]	Loss: 0.4666	LR: 0.020000
Training Epoch: 10 [46592/48750]	Loss: 0.4396	LR: 0.020000
Training Epoch: 10 [46848/48750]	Loss: 0.4197	LR: 0.020000
Training Epoch: 10 [47104/48750]	Loss: 0.3781	LR: 0.020000
Training Epoch: 10 [47360/48750]	Loss: 0.4177	LR: 0.020000
Training Epoch: 10 [47616/48750]	Loss: 0.3932	LR: 0.020000
Training Epoch: 10 [47872/48750]	Loss: 0.3994	LR: 0.020000
Training Epoch: 10 [48128/48750]	Loss: 0.4858	LR: 0.020000
Training Epoch: 10 [48384/48750]	Loss: 0.3396	LR: 0.020000
Training Epoch: 10 [48640/48750]	Loss: 0.4963	LR: 0.020000
Training Epoch: 10 [48750/48750]	Loss: 0.3994	LR: 0.020000
Epoch 10 - Average Train Loss: 0.4126, Train Accuracy: 0.8576
Epoch 10 training time consumed: 27.18s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0017, Accuracy: 0.8528, Time consumed:0.92s
Training Epoch: 11 [256/48750]	Loss: 0.3177	LR: 0.020000
Training Epoch: 11 [512/48750]	Loss: 0.4251	LR: 0.020000
Training Epoch: 11 [768/48750]	Loss: 0.3642	LR: 0.020000
Training Epoch: 11 [1024/48750]	Loss: 0.3914	LR: 0.020000
Training Epoch: 11 [1280/48750]	Loss: 0.3386	LR: 0.020000
Training Epoch: 11 [1536/48750]	Loss: 0.3267	LR: 0.020000
Training Epoch: 11 [1792/48750]	Loss: 0.3728	LR: 0.020000
Training Epoch: 11 [2048/48750]	Loss: 0.4907	LR: 0.020000
Training Epoch: 11 [2304/48750]	Loss: 0.4875	LR: 0.020000
Training Epoch: 11 [2560/48750]	Loss: 0.3456	LR: 0.020000
Training Epoch: 11 [2816/48750]	Loss: 0.3842	LR: 0.020000
Training Epoch: 11 [3072/48750]	Loss: 0.3788	LR: 0.020000
Training Epoch: 11 [3328/48750]	Loss: 0.3593	LR: 0.020000
Training Epoch: 11 [3584/48750]	Loss: 0.4064	LR: 0.020000
Training Epoch: 11 [3840/48750]	Loss: 0.3700	LR: 0.020000
Training Epoch: 11 [4096/48750]	Loss: 0.3674	LR: 0.020000
Training Epoch: 11 [4352/48750]	Loss: 0.3759	LR: 0.020000
Training Epoch: 11 [4608/48750]	Loss: 0.3368	LR: 0.020000
Training Epoch: 11 [4864/48750]	Loss: 0.4928	LR: 0.020000
Training Epoch: 11 [5120/48750]	Loss: 0.3429	LR: 0.020000
Training Epoch: 11 [5376/48750]	Loss: 0.4022	LR: 0.020000
Training Epoch: 11 [5632/48750]	Loss: 0.4300	LR: 0.020000
Training Epoch: 11 [5888/48750]	Loss: 0.4007	LR: 0.020000
Training Epoch: 11 [6144/48750]	Loss: 0.4181	LR: 0.020000
Training Epoch: 11 [6400/48750]	Loss: 0.4405	LR: 0.020000
Training Epoch: 11 [6656/48750]	Loss: 0.2892	LR: 0.020000
Training Epoch: 11 [6912/48750]	Loss: 0.2881	LR: 0.020000
Training Epoch: 11 [7168/48750]	Loss: 0.4270	LR: 0.020000
Training Epoch: 11 [7424/48750]	Loss: 0.4241	LR: 0.020000
Training Epoch: 11 [7680/48750]	Loss: 0.3653	LR: 0.020000
Training Epoch: 11 [7936/48750]	Loss: 0.3780	LR: 0.020000
Training Epoch: 11 [8192/48750]	Loss: 0.3791	LR: 0.020000
Training Epoch: 11 [8448/48750]	Loss: 0.3872	LR: 0.020000
Training Epoch: 11 [8704/48750]	Loss: 0.4251	LR: 0.020000
Training Epoch: 11 [8960/48750]	Loss: 0.5424	LR: 0.020000
Training Epoch: 11 [9216/48750]	Loss: 0.3904	LR: 0.020000
Training Epoch: 11 [9472/48750]	Loss: 0.3728	LR: 0.020000
Training Epoch: 11 [9728/48750]	Loss: 0.4936	LR: 0.020000
Training Epoch: 11 [9984/48750]	Loss: 0.4248	LR: 0.020000
Training Epoch: 11 [10240/48750]	Loss: 0.3803	LR: 0.020000
Training Epoch: 11 [10496/48750]	Loss: 0.3150	LR: 0.020000
Training Epoch: 11 [10752/48750]	Loss: 0.3755	LR: 0.020000
Training Epoch: 11 [11008/48750]	Loss: 0.3148	LR: 0.020000
Training Epoch: 11 [11264/48750]	Loss: 0.3218	LR: 0.020000
Training Epoch: 11 [11520/48750]	Loss: 0.3908	LR: 0.020000
Training Epoch: 11 [11776/48750]	Loss: 0.3278	LR: 0.020000
Training Epoch: 11 [12032/48750]	Loss: 0.4010	LR: 0.020000
Training Epoch: 11 [12288/48750]	Loss: 0.3608	LR: 0.020000
Training Epoch: 11 [12544/48750]	Loss: 0.4141	LR: 0.020000
Training Epoch: 11 [12800/48750]	Loss: 0.3049	LR: 0.020000
Training Epoch: 11 [13056/48750]	Loss: 0.4381	LR: 0.020000
Training Epoch: 11 [13312/48750]	Loss: 0.4684	LR: 0.020000
Training Epoch: 11 [13568/48750]	Loss: 0.4296	LR: 0.020000
Training Epoch: 11 [13824/48750]	Loss: 0.3926	LR: 0.020000
Training Epoch: 11 [14080/48750]	Loss: 0.4067	LR: 0.020000
Training Epoch: 11 [14336/48750]	Loss: 0.4783	LR: 0.020000
Training Epoch: 11 [14592/48750]	Loss: 0.4426	LR: 0.020000
Training Epoch: 11 [14848/48750]	Loss: 0.4121	LR: 0.020000
Training Epoch: 11 [15104/48750]	Loss: 0.4240	LR: 0.020000
Training Epoch: 11 [15360/48750]	Loss: 0.4135	LR: 0.020000
Training Epoch: 11 [15616/48750]	Loss: 0.4898	LR: 0.020000
Training Epoch: 11 [15872/48750]	Loss: 0.3668	LR: 0.020000
Training Epoch: 11 [16128/48750]	Loss: 0.3756	LR: 0.020000
Training Epoch: 11 [16384/48750]	Loss: 0.3907	LR: 0.020000
Training Epoch: 11 [16640/48750]	Loss: 0.3913	LR: 0.020000
Training Epoch: 11 [16896/48750]	Loss: 0.4271	LR: 0.020000
Training Epoch: 11 [17152/48750]	Loss: 0.3529	LR: 0.020000
Training Epoch: 11 [17408/48750]	Loss: 0.4581	LR: 0.020000
Training Epoch: 11 [17664/48750]	Loss: 0.3752	LR: 0.020000
Training Epoch: 11 [17920/48750]	Loss: 0.4641	LR: 0.020000
Training Epoch: 11 [18176/48750]	Loss: 0.4942	LR: 0.020000
Training Epoch: 11 [18432/48750]	Loss: 0.4990	LR: 0.020000
Training Epoch: 11 [18688/48750]	Loss: 0.3774	LR: 0.020000
Training Epoch: 11 [18944/48750]	Loss: 0.4010	LR: 0.020000
Training Epoch: 11 [19200/48750]	Loss: 0.3428	LR: 0.020000
Training Epoch: 11 [19456/48750]	Loss: 0.3818	LR: 0.020000
Training Epoch: 11 [19712/48750]	Loss: 0.3805	LR: 0.020000
Training Epoch: 11 [19968/48750]	Loss: 0.4377	LR: 0.020000
Training Epoch: 11 [20224/48750]	Loss: 0.3463	LR: 0.020000
Training Epoch: 11 [20480/48750]	Loss: 0.4876	LR: 0.020000
Training Epoch: 11 [20736/48750]	Loss: 0.4241	LR: 0.020000
Training Epoch: 11 [20992/48750]	Loss: 0.3972	LR: 0.020000
Training Epoch: 11 [21248/48750]	Loss: 0.3736	LR: 0.020000
Training Epoch: 11 [21504/48750]	Loss: 0.4171	LR: 0.020000
Training Epoch: 11 [21760/48750]	Loss: 0.3655	LR: 0.020000
Training Epoch: 11 [22016/48750]	Loss: 0.3768	LR: 0.020000
Training Epoch: 11 [22272/48750]	Loss: 0.3197	LR: 0.020000
Training Epoch: 11 [22528/48750]	Loss: 0.3461	LR: 0.020000
Training Epoch: 11 [22784/48750]	Loss: 0.4662	LR: 0.020000
Training Epoch: 11 [23040/48750]	Loss: 0.4095	LR: 0.020000
Training Epoch: 11 [23296/48750]	Loss: 0.5252	LR: 0.020000
Training Epoch: 11 [23552/48750]	Loss: 0.3366	LR: 0.020000
Training Epoch: 11 [23808/48750]	Loss: 0.3605	LR: 0.020000
Training Epoch: 11 [24064/48750]	Loss: 0.4506	LR: 0.020000
Training Epoch: 11 [24320/48750]	Loss: 0.3872	LR: 0.020000
Training Epoch: 11 [24576/48750]	Loss: 0.3838	LR: 0.020000
Training Epoch: 11 [24832/48750]	Loss: 0.3035	LR: 0.020000
Training Epoch: 11 [25088/48750]	Loss: 0.3868	LR: 0.020000
Training Epoch: 11 [25344/48750]	Loss: 0.3175	LR: 0.020000
Training Epoch: 11 [25600/48750]	Loss: 0.4333	LR: 0.020000
Training Epoch: 11 [25856/48750]	Loss: 0.4024	LR: 0.020000
Training Epoch: 11 [26112/48750]	Loss: 0.4655	LR: 0.020000
Training Epoch: 11 [26368/48750]	Loss: 0.4347	LR: 0.020000
Training Epoch: 11 [26624/48750]	Loss: 0.4140	LR: 0.020000
Training Epoch: 11 [26880/48750]	Loss: 0.4301	LR: 0.020000
Training Epoch: 11 [27136/48750]	Loss: 0.3611	LR: 0.020000
Training Epoch: 11 [27392/48750]	Loss: 0.3730	LR: 0.020000
Training Epoch: 11 [27648/48750]	Loss: 0.3735	LR: 0.020000
Training Epoch: 11 [27904/48750]	Loss: 0.3306	LR: 0.020000
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Training Epoch: 11 [29952/48750]	Loss: 0.4133	LR: 0.020000
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Training Epoch: 11 [30464/48750]	Loss: 0.3420	LR: 0.020000
Training Epoch: 11 [30720/48750]	Loss: 0.3339	LR: 0.020000
Training Epoch: 11 [30976/48750]	Loss: 0.3887	LR: 0.020000
Training Epoch: 11 [31232/48750]	Loss: 0.3945	LR: 0.020000
Training Epoch: 11 [31488/48750]	Loss: 0.4304	LR: 0.020000
Training Epoch: 11 [31744/48750]	Loss: 0.4571	LR: 0.020000
Training Epoch: 11 [32000/48750]	Loss: 0.4582	LR: 0.020000
Training Epoch: 11 [32256/48750]	Loss: 0.3740	LR: 0.020000
Training Epoch: 11 [32512/48750]	Loss: 0.5098	LR: 0.020000
Training Epoch: 11 [32768/48750]	Loss: 0.3625	LR: 0.020000
Training Epoch: 11 [33024/48750]	Loss: 0.4353	LR: 0.020000
Training Epoch: 11 [33280/48750]	Loss: 0.2995	LR: 0.020000
Training Epoch: 11 [33536/48750]	Loss: 0.4625	LR: 0.020000
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Training Epoch: 11 [44032/48750]	Loss: 0.3815	LR: 0.020000
Training Epoch: 11 [44288/48750]	Loss: 0.3871	LR: 0.020000
Training Epoch: 11 [44544/48750]	Loss: 0.4356	LR: 0.020000
Training Epoch: 11 [44800/48750]	Loss: 0.3816	LR: 0.020000
Training Epoch: 11 [45056/48750]	Loss: 0.3808	LR: 0.020000
Training Epoch: 11 [45312/48750]	Loss: 0.3931	LR: 0.020000
Training Epoch: 11 [45568/48750]	Loss: 0.3829	LR: 0.020000
Training Epoch: 11 [45824/48750]	Loss: 0.4325	LR: 0.020000
Training Epoch: 11 [46080/48750]	Loss: 0.4220	LR: 0.020000
Training Epoch: 11 [46336/48750]	Loss: 0.4368	LR: 0.020000
Training Epoch: 11 [46592/48750]	Loss: 0.4265	LR: 0.020000
Training Epoch: 11 [46848/48750]	Loss: 0.4078	LR: 0.020000
Training Epoch: 11 [47104/48750]	Loss: 0.4377	LR: 0.020000
Training Epoch: 11 [47360/48750]	Loss: 0.3869	LR: 0.020000
Training Epoch: 11 [47616/48750]	Loss: 0.3656	LR: 0.020000
Training Epoch: 11 [47872/48750]	Loss: 0.3312	LR: 0.020000
Training Epoch: 11 [48128/48750]	Loss: 0.4590	LR: 0.020000
Training Epoch: 11 [48384/48750]	Loss: 0.3978	LR: 0.020000
Training Epoch: 11 [48640/48750]	Loss: 0.3969	LR: 0.020000
Training Epoch: 11 [48750/48750]	Loss: 0.4677	LR: 0.020000
Epoch 11 - Average Train Loss: 0.3955, Train Accuracy: 0.8637
Epoch 11 training time consumed: 27.17s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0018, Accuracy: 0.8519, Time consumed:0.91s
Training Epoch: 12 [256/48750]	Loss: 0.3479	LR: 0.004000
Training Epoch: 12 [512/48750]	Loss: 0.3608	LR: 0.004000
Training Epoch: 12 [768/48750]	Loss: 0.3825	LR: 0.004000
Training Epoch: 12 [1024/48750]	Loss: 0.3901	LR: 0.004000
Training Epoch: 12 [1280/48750]	Loss: 0.4144	LR: 0.004000
Training Epoch: 12 [1536/48750]	Loss: 0.3576	LR: 0.004000
Training Epoch: 12 [1792/48750]	Loss: 0.4584	LR: 0.004000
Training Epoch: 12 [2048/48750]	Loss: 0.3061	LR: 0.004000
Training Epoch: 12 [2304/48750]	Loss: 0.3485	LR: 0.004000
Training Epoch: 12 [2560/48750]	Loss: 0.4209	LR: 0.004000
Training Epoch: 12 [2816/48750]	Loss: 0.3969	LR: 0.004000
Training Epoch: 12 [3072/48750]	Loss: 0.3281	LR: 0.004000
Training Epoch: 12 [3328/48750]	Loss: 0.4252	LR: 0.004000
Training Epoch: 12 [3584/48750]	Loss: 0.3032	LR: 0.004000
Training Epoch: 12 [3840/48750]	Loss: 0.4427	LR: 0.004000
Training Epoch: 12 [4096/48750]	Loss: 0.3322	LR: 0.004000
Training Epoch: 12 [4352/48750]	Loss: 0.4586	LR: 0.004000
Training Epoch: 12 [4608/48750]	Loss: 0.3513	LR: 0.004000
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Training Epoch: 12 [5376/48750]	Loss: 0.3968	LR: 0.004000
Training Epoch: 12 [5632/48750]	Loss: 0.3161	LR: 0.004000
Training Epoch: 12 [5888/48750]	Loss: 0.3900	LR: 0.004000
Training Epoch: 12 [6144/48750]	Loss: 0.3845	LR: 0.004000
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Training Epoch: 12 [8448/48750]	Loss: 0.3606	LR: 0.004000
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Training Epoch: 12 [11008/48750]	Loss: 0.3769	LR: 0.004000
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Training Epoch: 12 [12288/48750]	Loss: 0.3803	LR: 0.004000
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Training Epoch: 12 [15616/48750]	Loss: 0.2863	LR: 0.004000
Training Epoch: 12 [15872/48750]	Loss: 0.4516	LR: 0.004000
Training Epoch: 12 [16128/48750]	Loss: 0.2717	LR: 0.004000
Training Epoch: 12 [16384/48750]	Loss: 0.3543	LR: 0.004000
Training Epoch: 12 [16640/48750]	Loss: 0.3485	LR: 0.004000
Training Epoch: 12 [16896/48750]	Loss: 0.2863	LR: 0.004000
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Training Epoch: 12 [18944/48750]	Loss: 0.3204	LR: 0.004000
Training Epoch: 12 [19200/48750]	Loss: 0.3617	LR: 0.004000
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Training Epoch: 12 [20224/48750]	Loss: 0.3264	LR: 0.004000
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Training Epoch: 12 [22016/48750]	Loss: 0.4575	LR: 0.004000
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Training Epoch: 12 [26880/48750]	Loss: 0.3547	LR: 0.004000
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Training Epoch: 12 [27904/48750]	Loss: 0.2751	LR: 0.004000
Training Epoch: 12 [28160/48750]	Loss: 0.3910	LR: 0.004000
Training Epoch: 12 [28416/48750]	Loss: 0.3403	LR: 0.004000
Training Epoch: 12 [28672/48750]	Loss: 0.2690	LR: 0.004000
Training Epoch: 12 [28928/48750]	Loss: 0.4008	LR: 0.004000
Training Epoch: 12 [29184/48750]	Loss: 0.3300	LR: 0.004000
Training Epoch: 12 [29440/48750]	Loss: 0.3941	LR: 0.004000
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Training Epoch: 12 [30720/48750]	Loss: 0.3545	LR: 0.004000
Training Epoch: 12 [30976/48750]	Loss: 0.3351	LR: 0.004000
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Training Epoch: 12 [32512/48750]	Loss: 0.2745	LR: 0.004000
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Training Epoch: 12 [40192/48750]	Loss: 0.3925	LR: 0.004000
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Training Epoch: 12 [45056/48750]	Loss: 0.2847	LR: 0.004000
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Training Epoch: 12 [45568/48750]	Loss: 0.3060	LR: 0.004000
Training Epoch: 12 [45824/48750]	Loss: 0.2801	LR: 0.004000
Training Epoch: 12 [46080/48750]	Loss: 0.2933	LR: 0.004000
Training Epoch: 12 [46336/48750]	Loss: 0.2835	LR: 0.004000
Training Epoch: 12 [46592/48750]	Loss: 0.3814	LR: 0.004000
Training Epoch: 12 [46848/48750]	Loss: 0.3622	LR: 0.004000
Training Epoch: 12 [47104/48750]	Loss: 0.3501	LR: 0.004000
Training Epoch: 12 [47360/48750]	Loss: 0.3973	LR: 0.004000
Training Epoch: 12 [47616/48750]	Loss: 0.3247	LR: 0.004000
Training Epoch: 12 [47872/48750]	Loss: 0.3502	LR: 0.004000
Training Epoch: 12 [48128/48750]	Loss: 0.3958	LR: 0.004000
Training Epoch: 12 [48384/48750]	Loss: 0.2943	LR: 0.004000
Training Epoch: 12 [48640/48750]	Loss: 0.3121	LR: 0.004000
Training Epoch: 12 [48750/48750]	Loss: 0.4075	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3455, Train Accuracy: 0.8826
Epoch 12 training time consumed: 27.12s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0015, Accuracy: 0.8712, Time consumed:0.92s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_10h_23m_26s/AllCNN-Cifar10-seed7-ret75-12-best.pth
Training Epoch: 13 [256/48750]	Loss: 0.3579	LR: 0.004000
Training Epoch: 13 [512/48750]	Loss: 0.3697	LR: 0.004000
Training Epoch: 13 [768/48750]	Loss: 0.3676	LR: 0.004000
Training Epoch: 13 [1024/48750]	Loss: 0.4081	LR: 0.004000
Training Epoch: 13 [1280/48750]	Loss: 0.4285	LR: 0.004000
Training Epoch: 13 [1536/48750]	Loss: 0.2677	LR: 0.004000
Training Epoch: 13 [1792/48750]	Loss: 0.3509	LR: 0.004000
Training Epoch: 13 [2048/48750]	Loss: 0.2802	LR: 0.004000
Training Epoch: 13 [2304/48750]	Loss: 0.3233	LR: 0.004000
Training Epoch: 13 [2560/48750]	Loss: 0.3880	LR: 0.004000
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Training Epoch: 13 [47872/48750]	Loss: 0.2374	LR: 0.004000
Training Epoch: 13 [48128/48750]	Loss: 0.3253	LR: 0.004000
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Training Epoch: 13 [48640/48750]	Loss: 0.2391	LR: 0.004000
Training Epoch: 13 [48750/48750]	Loss: 0.3475	LR: 0.004000
Epoch 13 - Average Train Loss: 0.3344, Train Accuracy: 0.8864
Epoch 13 training time consumed: 27.04s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0015, Accuracy: 0.8724, Time consumed:0.98s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_10h_23m_26s/AllCNN-Cifar10-seed7-ret75-13-best.pth
Training Epoch: 14 [256/48750]	Loss: 0.3035	LR: 0.004000
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Training Epoch: 14 [1536/48750]	Loss: 0.3964	LR: 0.004000
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Training Epoch: 14 [26624/48750]	Loss: 0.2929	LR: 0.004000
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Training Epoch: 14 [32256/48750]	Loss: 0.3877	LR: 0.004000
Training Epoch: 14 [32512/48750]	Loss: 0.3083	LR: 0.004000
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Training Epoch: 14 [42240/48750]	Loss: 0.3229	LR: 0.004000
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Training Epoch: 14 [43776/48750]	Loss: 0.2544	LR: 0.004000
Training Epoch: 14 [44032/48750]	Loss: 0.3020	LR: 0.004000
Training Epoch: 14 [44288/48750]	Loss: 0.2605	LR: 0.004000
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Training Epoch: 14 [45056/48750]	Loss: 0.3214	LR: 0.004000
Training Epoch: 14 [45312/48750]	Loss: 0.2971	LR: 0.004000
Training Epoch: 14 [45568/48750]	Loss: 0.3569	LR: 0.004000
Training Epoch: 14 [45824/48750]	Loss: 0.3043	LR: 0.004000
Training Epoch: 14 [46080/48750]	Loss: 0.3326	LR: 0.004000
Training Epoch: 14 [46336/48750]	Loss: 0.2219	LR: 0.004000
Training Epoch: 14 [46592/48750]	Loss: 0.4193	LR: 0.004000
Training Epoch: 14 [46848/48750]	Loss: 0.3622	LR: 0.004000
Training Epoch: 14 [47104/48750]	Loss: 0.3402	LR: 0.004000
Training Epoch: 14 [47360/48750]	Loss: 0.3243	LR: 0.004000
Training Epoch: 14 [47616/48750]	Loss: 0.2971	LR: 0.004000
Training Epoch: 14 [47872/48750]	Loss: 0.3045	LR: 0.004000
Training Epoch: 14 [48128/48750]	Loss: 0.3774	LR: 0.004000
Training Epoch: 14 [48384/48750]	Loss: 0.3458	LR: 0.004000
Training Epoch: 14 [48640/48750]	Loss: 0.3922	LR: 0.004000
Training Epoch: 14 [48750/48750]	Loss: 0.2917	LR: 0.004000
Epoch 14 - Average Train Loss: 0.3278, Train Accuracy: 0.8876
Epoch 14 training time consumed: 27.08s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0015, Accuracy: 0.8753, Time consumed:0.90s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_10h_23m_26s/AllCNN-Cifar10-seed7-ret75-14-best.pth
Training Epoch: 15 [256/48750]	Loss: 0.2923	LR: 0.004000
Training Epoch: 15 [512/48750]	Loss: 0.3051	LR: 0.004000
Training Epoch: 15 [768/48750]	Loss: 0.2913	LR: 0.004000
Training Epoch: 15 [1024/48750]	Loss: 0.2792	LR: 0.004000
Training Epoch: 15 [1280/48750]	Loss: 0.3499	LR: 0.004000
Training Epoch: 15 [1536/48750]	Loss: 0.3535	LR: 0.004000
Training Epoch: 15 [1792/48750]	Loss: 0.3940	LR: 0.004000
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Training Epoch: 15 [37888/48750]	Loss: 0.2446	LR: 0.004000
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Training Epoch: 15 [43008/48750]	Loss: 0.3085	LR: 0.004000
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Training Epoch: 15 [43776/48750]	Loss: 0.2889	LR: 0.004000
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Training Epoch: 15 [45056/48750]	Loss: 0.2729	LR: 0.004000
Training Epoch: 15 [45312/48750]	Loss: 0.3410	LR: 0.004000
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Training Epoch: 15 [45824/48750]	Loss: 0.2691	LR: 0.004000
Training Epoch: 15 [46080/48750]	Loss: 0.3797	LR: 0.004000
Training Epoch: 15 [46336/48750]	Loss: 0.2640	LR: 0.004000
Training Epoch: 15 [46592/48750]	Loss: 0.2520	LR: 0.004000
Training Epoch: 15 [46848/48750]	Loss: 0.3369	LR: 0.004000
Training Epoch: 15 [47104/48750]	Loss: 0.3047	LR: 0.004000
Training Epoch: 15 [47360/48750]	Loss: 0.3868	LR: 0.004000
Training Epoch: 15 [47616/48750]	Loss: 0.3863	LR: 0.004000
Training Epoch: 15 [47872/48750]	Loss: 0.3491	LR: 0.004000
Training Epoch: 15 [48128/48750]	Loss: 0.3313	LR: 0.004000
Training Epoch: 15 [48384/48750]	Loss: 0.3704	LR: 0.004000
Training Epoch: 15 [48640/48750]	Loss: 0.2351	LR: 0.004000
Training Epoch: 15 [48750/48750]	Loss: 0.2899	LR: 0.004000
Epoch 15 - Average Train Loss: 0.3212, Train Accuracy: 0.8881
Epoch 15 training time consumed: 27.13s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0015, Accuracy: 0.8749, Time consumed:0.90s
Training Epoch: 16 [256/48750]	Loss: 0.3048	LR: 0.000800
Training Epoch: 16 [512/48750]	Loss: 0.3195	LR: 0.000800
Training Epoch: 16 [768/48750]	Loss: 0.2816	LR: 0.000800
Training Epoch: 16 [1024/48750]	Loss: 0.2806	LR: 0.000800
Training Epoch: 16 [1280/48750]	Loss: 0.2388	LR: 0.000800
Training Epoch: 16 [1536/48750]	Loss: 0.3480	LR: 0.000800
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Training Epoch: 16 [46080/48750]	Loss: 0.3247	LR: 0.000800
Training Epoch: 16 [46336/48750]	Loss: 0.2655	LR: 0.000800
Training Epoch: 16 [46592/48750]	Loss: 0.3268	LR: 0.000800
Training Epoch: 16 [46848/48750]	Loss: 0.3302	LR: 0.000800
Training Epoch: 16 [47104/48750]	Loss: 0.3984	LR: 0.000800
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Training Epoch: 16 [47616/48750]	Loss: 0.3200	LR: 0.000800
Training Epoch: 16 [47872/48750]	Loss: 0.3487	LR: 0.000800
Training Epoch: 16 [48128/48750]	Loss: 0.2649	LR: 0.000800
Training Epoch: 16 [48384/48750]	Loss: 0.2580	LR: 0.000800
Training Epoch: 16 [48640/48750]	Loss: 0.2365	LR: 0.000800
Training Epoch: 16 [48750/48750]	Loss: 0.1981	LR: 0.000800
Epoch 16 - Average Train Loss: 0.3081, Train Accuracy: 0.8963
Epoch 16 training time consumed: 27.06s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0014, Accuracy: 0.8797, Time consumed:0.92s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_10h_23m_26s/AllCNN-Cifar10-seed7-ret75-16-best.pth
Training Epoch: 17 [256/48750]	Loss: 0.3188	LR: 0.000800
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Training Epoch: 17 [1536/48750]	Loss: 0.2745	LR: 0.000800
Training Epoch: 17 [1792/48750]	Loss: 0.2732	LR: 0.000800
Training Epoch: 17 [2048/48750]	Loss: 0.2884	LR: 0.000800
Training Epoch: 17 [2304/48750]	Loss: 0.2845	LR: 0.000800
Training Epoch: 17 [2560/48750]	Loss: 0.3375	LR: 0.000800
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Training Epoch: 17 [3584/48750]	Loss: 0.3488	LR: 0.000800
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Training Epoch: 17 [6144/48750]	Loss: 0.3351	LR: 0.000800
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Training Epoch: 17 [20224/48750]	Loss: 0.2990	LR: 0.000800
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Training Epoch: 17 [24576/48750]	Loss: 0.2557	LR: 0.000800
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Training Epoch: 17 [25600/48750]	Loss: 0.2802	LR: 0.000800
Training Epoch: 17 [25856/48750]	Loss: 0.2992	LR: 0.000800
Training Epoch: 17 [26112/48750]	Loss: 0.2469	LR: 0.000800
Training Epoch: 17 [26368/48750]	Loss: 0.2910	LR: 0.000800
Training Epoch: 17 [26624/48750]	Loss: 0.2394	LR: 0.000800
Training Epoch: 17 [26880/48750]	Loss: 0.2538	LR: 0.000800
Training Epoch: 17 [27136/48750]	Loss: 0.3205	LR: 0.000800
Training Epoch: 17 [27392/48750]	Loss: 0.3034	LR: 0.000800
Training Epoch: 17 [27648/48750]	Loss: 0.3969	LR: 0.000800
Training Epoch: 17 [27904/48750]	Loss: 0.2940	LR: 0.000800
Training Epoch: 17 [28160/48750]	Loss: 0.3467	LR: 0.000800
Training Epoch: 17 [28416/48750]	Loss: 0.3656	LR: 0.000800
Training Epoch: 17 [28672/48750]	Loss: 0.2913	LR: 0.000800
Training Epoch: 17 [28928/48750]	Loss: 0.3824	LR: 0.000800
Training Epoch: 17 [29184/48750]	Loss: 0.3781	LR: 0.000800
Training Epoch: 17 [29440/48750]	Loss: 0.3010	LR: 0.000800
Training Epoch: 17 [29696/48750]	Loss: 0.3644	LR: 0.000800
Training Epoch: 17 [29952/48750]	Loss: 0.2895	LR: 0.000800
Training Epoch: 17 [30208/48750]	Loss: 0.4060	LR: 0.000800
Training Epoch: 17 [30464/48750]	Loss: 0.2948	LR: 0.000800
Training Epoch: 17 [30720/48750]	Loss: 0.2910	LR: 0.000800
Training Epoch: 17 [30976/48750]	Loss: 0.3225	LR: 0.000800
Training Epoch: 17 [31232/48750]	Loss: 0.2836	LR: 0.000800
Training Epoch: 17 [31488/48750]	Loss: 0.3039	LR: 0.000800
Training Epoch: 17 [31744/48750]	Loss: 0.3142	LR: 0.000800
Training Epoch: 17 [32000/48750]	Loss: 0.2859	LR: 0.000800
Training Epoch: 17 [32256/48750]	Loss: 0.2855	LR: 0.000800
Training Epoch: 17 [32512/48750]	Loss: 0.2976	LR: 0.000800
Training Epoch: 17 [32768/48750]	Loss: 0.3435	LR: 0.000800
Training Epoch: 17 [33024/48750]	Loss: 0.2370	LR: 0.000800
Training Epoch: 17 [33280/48750]	Loss: 0.3647	LR: 0.000800
Training Epoch: 17 [33536/48750]	Loss: 0.3135	LR: 0.000800
Training Epoch: 17 [33792/48750]	Loss: 0.3671	LR: 0.000800
Training Epoch: 17 [34048/48750]	Loss: 0.2876	LR: 0.000800
Training Epoch: 17 [34304/48750]	Loss: 0.3394	LR: 0.000800
Training Epoch: 17 [34560/48750]	Loss: 0.3211	LR: 0.000800
Training Epoch: 17 [34816/48750]	Loss: 0.3355	LR: 0.000800
Training Epoch: 17 [35072/48750]	Loss: 0.3689	LR: 0.000800
Training Epoch: 17 [35328/48750]	Loss: 0.2533	LR: 0.000800
Training Epoch: 17 [35584/48750]	Loss: 0.3351	LR: 0.000800
Training Epoch: 17 [35840/48750]	Loss: 0.3205	LR: 0.000800
Training Epoch: 17 [36096/48750]	Loss: 0.3239	LR: 0.000800
Training Epoch: 17 [36352/48750]	Loss: 0.2719	LR: 0.000800
Training Epoch: 17 [36608/48750]	Loss: 0.2702	LR: 0.000800
Training Epoch: 17 [36864/48750]	Loss: 0.3610	LR: 0.000800
Training Epoch: 17 [37120/48750]	Loss: 0.3165	LR: 0.000800
Training Epoch: 17 [37376/48750]	Loss: 0.3532	LR: 0.000800
Training Epoch: 17 [37632/48750]	Loss: 0.2865	LR: 0.000800
Training Epoch: 17 [37888/48750]	Loss: 0.3053	LR: 0.000800
Training Epoch: 17 [38144/48750]	Loss: 0.2455	LR: 0.000800
Training Epoch: 17 [38400/48750]	Loss: 0.3322	LR: 0.000800
Training Epoch: 17 [38656/48750]	Loss: 0.4007	LR: 0.000800
Training Epoch: 17 [38912/48750]	Loss: 0.2772	LR: 0.000800
Training Epoch: 17 [39168/48750]	Loss: 0.3631	LR: 0.000800
Training Epoch: 17 [39424/48750]	Loss: 0.2577	LR: 0.000800
Training Epoch: 17 [39680/48750]	Loss: 0.3665	LR: 0.000800
Training Epoch: 17 [39936/48750]	Loss: 0.3571	LR: 0.000800
Training Epoch: 17 [40192/48750]	Loss: 0.2628	LR: 0.000800
Training Epoch: 17 [40448/48750]	Loss: 0.2804	LR: 0.000800
Training Epoch: 17 [40704/48750]	Loss: 0.3502	LR: 0.000800
Training Epoch: 17 [40960/48750]	Loss: 0.2290	LR: 0.000800
Training Epoch: 17 [41216/48750]	Loss: 0.2728	LR: 0.000800
Training Epoch: 17 [41472/48750]	Loss: 0.3078	LR: 0.000800
Training Epoch: 17 [41728/48750]	Loss: 0.3514	LR: 0.000800
Training Epoch: 17 [41984/48750]	Loss: 0.3755	LR: 0.000800
Training Epoch: 17 [42240/48750]	Loss: 0.2924	LR: 0.000800
Training Epoch: 17 [42496/48750]	Loss: 0.2974	LR: 0.000800
Training Epoch: 17 [42752/48750]	Loss: 0.3327	LR: 0.000800
Training Epoch: 17 [43008/48750]	Loss: 0.3717	LR: 0.000800
Training Epoch: 17 [43264/48750]	Loss: 0.2843	LR: 0.000800
Training Epoch: 17 [43520/48750]	Loss: 0.2769	LR: 0.000800
Training Epoch: 17 [43776/48750]	Loss: 0.3297	LR: 0.000800
Training Epoch: 17 [44032/48750]	Loss: 0.3345	LR: 0.000800
Training Epoch: 17 [44288/48750]	Loss: 0.3776	LR: 0.000800
Training Epoch: 17 [44544/48750]	Loss: 0.2531	LR: 0.000800
Training Epoch: 17 [44800/48750]	Loss: 0.4143	LR: 0.000800
Training Epoch: 17 [45056/48750]	Loss: 0.2852	LR: 0.000800
Training Epoch: 17 [45312/48750]	Loss: 0.3173	LR: 0.000800
Training Epoch: 17 [45568/48750]	Loss: 0.2959	LR: 0.000800
Training Epoch: 17 [45824/48750]	Loss: 0.2935	LR: 0.000800
Training Epoch: 17 [46080/48750]	Loss: 0.2587	LR: 0.000800
Training Epoch: 17 [46336/48750]	Loss: 0.3407	LR: 0.000800
Training Epoch: 17 [46592/48750]	Loss: 0.2952	LR: 0.000800
Training Epoch: 17 [46848/48750]	Loss: 0.3709	LR: 0.000800
Training Epoch: 17 [47104/48750]	Loss: 0.2802	LR: 0.000800
Training Epoch: 17 [47360/48750]	Loss: 0.2375	LR: 0.000800
Training Epoch: 17 [47616/48750]	Loss: 0.2967	LR: 0.000800
Training Epoch: 17 [47872/48750]	Loss: 0.3794	LR: 0.000800
Training Epoch: 17 [48128/48750]	Loss: 0.3498	LR: 0.000800
Training Epoch: 17 [48384/48750]	Loss: 0.3025	LR: 0.000800
Training Epoch: 17 [48640/48750]	Loss: 0.2943	LR: 0.000800
Training Epoch: 17 [48750/48750]	Loss: 0.2924	LR: 0.000800
Epoch 17 - Average Train Loss: 0.3092, Train Accuracy: 0.8942
Epoch 17 training time consumed: 27.13s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0014, Accuracy: 0.8791, Time consumed:0.97s
Training Epoch: 18 [256/48750]	Loss: 0.3783	LR: 0.000800
Training Epoch: 18 [512/48750]	Loss: 0.2850	LR: 0.000800
Training Epoch: 18 [768/48750]	Loss: 0.3334	LR: 0.000800
Training Epoch: 18 [1024/48750]	Loss: 0.2910	LR: 0.000800
Training Epoch: 18 [1280/48750]	Loss: 0.3052	LR: 0.000800
Training Epoch: 18 [1536/48750]	Loss: 0.2797	LR: 0.000800
Training Epoch: 18 [1792/48750]	Loss: 0.3111	LR: 0.000800
Training Epoch: 18 [2048/48750]	Loss: 0.3773	LR: 0.000800
Training Epoch: 18 [2304/48750]	Loss: 0.3006	LR: 0.000800
Training Epoch: 18 [2560/48750]	Loss: 0.2897	LR: 0.000800
Training Epoch: 18 [2816/48750]	Loss: 0.3117	LR: 0.000800
Training Epoch: 18 [3072/48750]	Loss: 0.3532	LR: 0.000800
Training Epoch: 18 [3328/48750]	Loss: 0.3596	LR: 0.000800
Training Epoch: 18 [3584/48750]	Loss: 0.2764	LR: 0.000800
Training Epoch: 18 [3840/48750]	Loss: 0.3427	LR: 0.000800
Training Epoch: 18 [4096/48750]	Loss: 0.3318	LR: 0.000800
Training Epoch: 18 [4352/48750]	Loss: 0.2805	LR: 0.000800
Training Epoch: 18 [4608/48750]	Loss: 0.2329	LR: 0.000800
Training Epoch: 18 [4864/48750]	Loss: 0.3318	LR: 0.000800
Training Epoch: 18 [5120/48750]	Loss: 0.2700	LR: 0.000800
Training Epoch: 18 [5376/48750]	Loss: 0.3494	LR: 0.000800
Training Epoch: 18 [5632/48750]	Loss: 0.3252	LR: 0.000800
Training Epoch: 18 [5888/48750]	Loss: 0.2907	LR: 0.000800
Training Epoch: 18 [6144/48750]	Loss: 0.3070	LR: 0.000800
Training Epoch: 18 [6400/48750]	Loss: 0.3481	LR: 0.000800
Training Epoch: 18 [6656/48750]	Loss: 0.3023	LR: 0.000800
Training Epoch: 18 [6912/48750]	Loss: 0.2556	LR: 0.000800
Training Epoch: 18 [7168/48750]	Loss: 0.3051	LR: 0.000800
Training Epoch: 18 [7424/48750]	Loss: 0.2665	LR: 0.000800
Training Epoch: 18 [7680/48750]	Loss: 0.3237	LR: 0.000800
Training Epoch: 18 [7936/48750]	Loss: 0.3992	LR: 0.000800
Training Epoch: 18 [8192/48750]	Loss: 0.2997	LR: 0.000800
Training Epoch: 18 [8448/48750]	Loss: 0.3373	LR: 0.000800
Training Epoch: 18 [8704/48750]	Loss: 0.3583	LR: 0.000800
Training Epoch: 18 [8960/48750]	Loss: 0.2905	LR: 0.000800
Training Epoch: 18 [9216/48750]	Loss: 0.2774	LR: 0.000800
Training Epoch: 18 [9472/48750]	Loss: 0.2352	LR: 0.000800
Training Epoch: 18 [9728/48750]	Loss: 0.2991	LR: 0.000800
Training Epoch: 18 [9984/48750]	Loss: 0.2451	LR: 0.000800
Training Epoch: 18 [10240/48750]	Loss: 0.2879	LR: 0.000800
Training Epoch: 18 [10496/48750]	Loss: 0.2697	LR: 0.000800
Training Epoch: 18 [10752/48750]	Loss: 0.2806	LR: 0.000800
Training Epoch: 18 [11008/48750]	Loss: 0.3101	LR: 0.000800
Training Epoch: 18 [11264/48750]	Loss: 0.2578	LR: 0.000800
Training Epoch: 18 [11520/48750]	Loss: 0.3189	LR: 0.000800
Training Epoch: 18 [11776/48750]	Loss: 0.2891	LR: 0.000800
Training Epoch: 18 [12032/48750]	Loss: 0.3132	LR: 0.000800
Training Epoch: 18 [12288/48750]	Loss: 0.2664	LR: 0.000800
Training Epoch: 18 [12544/48750]	Loss: 0.2962	LR: 0.000800
Training Epoch: 18 [12800/48750]	Loss: 0.2810	LR: 0.000800
Training Epoch: 18 [13056/48750]	Loss: 0.3618	LR: 0.000800
Training Epoch: 18 [13312/48750]	Loss: 0.3775	LR: 0.000800
Training Epoch: 18 [13568/48750]	Loss: 0.2910	LR: 0.000800
Training Epoch: 18 [13824/48750]	Loss: 0.3645	LR: 0.000800
Training Epoch: 18 [14080/48750]	Loss: 0.2739	LR: 0.000800
Training Epoch: 18 [14336/48750]	Loss: 0.3091	LR: 0.000800
Training Epoch: 18 [14592/48750]	Loss: 0.2768	LR: 0.000800
Training Epoch: 18 [14848/48750]	Loss: 0.3024	LR: 0.000800
Training Epoch: 18 [15104/48750]	Loss: 0.3039	LR: 0.000800
Training Epoch: 18 [15360/48750]	Loss: 0.2784	LR: 0.000800
Training Epoch: 18 [15616/48750]	Loss: 0.2955	LR: 0.000800
Training Epoch: 18 [15872/48750]	Loss: 0.3593	LR: 0.000800
Training Epoch: 18 [16128/48750]	Loss: 0.3248	LR: 0.000800
Training Epoch: 18 [16384/48750]	Loss: 0.3177	LR: 0.000800
Training Epoch: 18 [16640/48750]	Loss: 0.2712	LR: 0.000800
Training Epoch: 18 [16896/48750]	Loss: 0.2405	LR: 0.000800
Training Epoch: 18 [17152/48750]	Loss: 0.4237	LR: 0.000800
Training Epoch: 18 [17408/48750]	Loss: 0.2891	LR: 0.000800
Training Epoch: 18 [17664/48750]	Loss: 0.3001	LR: 0.000800
Training Epoch: 18 [17920/48750]	Loss: 0.2511	LR: 0.000800
Training Epoch: 18 [18176/48750]	Loss: 0.2483	LR: 0.000800
Training Epoch: 18 [18432/48750]	Loss: 0.3758	LR: 0.000800
Training Epoch: 18 [18688/48750]	Loss: 0.3223	LR: 0.000800
Training Epoch: 18 [18944/48750]	Loss: 0.2829	LR: 0.000800
Training Epoch: 18 [19200/48750]	Loss: 0.2241	LR: 0.000800
Training Epoch: 18 [19456/48750]	Loss: 0.2933	LR: 0.000800
Training Epoch: 18 [19712/48750]	Loss: 0.2421	LR: 0.000800
Training Epoch: 18 [19968/48750]	Loss: 0.3129	LR: 0.000800
Training Epoch: 18 [20224/48750]	Loss: 0.2881	LR: 0.000800
Training Epoch: 18 [20480/48750]	Loss: 0.2534	LR: 0.000800
Training Epoch: 18 [20736/48750]	Loss: 0.2670	LR: 0.000800
Training Epoch: 18 [20992/48750]	Loss: 0.3372	LR: 0.000800
Training Epoch: 18 [21248/48750]	Loss: 0.2887	LR: 0.000800
Training Epoch: 18 [21504/48750]	Loss: 0.3283	LR: 0.000800
Training Epoch: 18 [21760/48750]	Loss: 0.3024	LR: 0.000800
Training Epoch: 18 [22016/48750]	Loss: 0.2976	LR: 0.000800
Training Epoch: 18 [22272/48750]	Loss: 0.2374	LR: 0.000800
Training Epoch: 18 [22528/48750]	Loss: 0.3013	LR: 0.000800
Training Epoch: 18 [22784/48750]	Loss: 0.2951	LR: 0.000800
Training Epoch: 18 [23040/48750]	Loss: 0.3131	LR: 0.000800
Training Epoch: 18 [23296/48750]	Loss: 0.2580	LR: 0.000800
Training Epoch: 18 [23552/48750]	Loss: 0.2712	LR: 0.000800
Training Epoch: 18 [23808/48750]	Loss: 0.2848	LR: 0.000800
Training Epoch: 18 [24064/48750]	Loss: 0.2241	LR: 0.000800
Training Epoch: 18 [24320/48750]	Loss: 0.2797	LR: 0.000800
Training Epoch: 18 [24576/48750]	Loss: 0.2806	LR: 0.000800
Training Epoch: 18 [24832/48750]	Loss: 0.3226	LR: 0.000800
Training Epoch: 18 [25088/48750]	Loss: 0.2914	LR: 0.000800
Training Epoch: 18 [25344/48750]	Loss: 0.2904	LR: 0.000800
Training Epoch: 18 [25600/48750]	Loss: 0.3719	LR: 0.000800
Training Epoch: 18 [25856/48750]	Loss: 0.3063	LR: 0.000800
Training Epoch: 18 [26112/48750]	Loss: 0.2991	LR: 0.000800
Training Epoch: 18 [26368/48750]	Loss: 0.2247	LR: 0.000800
Training Epoch: 18 [26624/48750]	Loss: 0.3291	LR: 0.000800
Training Epoch: 18 [26880/48750]	Loss: 0.3157	LR: 0.000800
Training Epoch: 18 [27136/48750]	Loss: 0.3290	LR: 0.000800
Training Epoch: 18 [27392/48750]	Loss: 0.3429	LR: 0.000800
Training Epoch: 18 [27648/48750]	Loss: 0.2425	LR: 0.000800
Training Epoch: 18 [27904/48750]	Loss: 0.3223	LR: 0.000800
Training Epoch: 18 [28160/48750]	Loss: 0.3153	LR: 0.000800
Training Epoch: 18 [28416/48750]	Loss: 0.3097	LR: 0.000800
Training Epoch: 18 [28672/48750]	Loss: 0.2877	LR: 0.000800
Training Epoch: 18 [28928/48750]	Loss: 0.3604	LR: 0.000800
Training Epoch: 18 [29184/48750]	Loss: 0.3480	LR: 0.000800
Training Epoch: 18 [29440/48750]	Loss: 0.2980	LR: 0.000800
Training Epoch: 18 [29696/48750]	Loss: 0.3702	LR: 0.000800
Training Epoch: 18 [29952/48750]	Loss: 0.2657	LR: 0.000800
Training Epoch: 18 [30208/48750]	Loss: 0.3574	LR: 0.000800
Training Epoch: 18 [30464/48750]	Loss: 0.3190	LR: 0.000800
Training Epoch: 18 [30720/48750]	Loss: 0.3577	LR: 0.000800
Training Epoch: 18 [30976/48750]	Loss: 0.3071	LR: 0.000800
Training Epoch: 18 [31232/48750]	Loss: 0.2613	LR: 0.000800
Training Epoch: 18 [31488/48750]	Loss: 0.2998	LR: 0.000800
Training Epoch: 18 [31744/48750]	Loss: 0.2818	LR: 0.000800
Training Epoch: 18 [32000/48750]	Loss: 0.3520	LR: 0.000800
Training Epoch: 18 [32256/48750]	Loss: 0.2975	LR: 0.000800
Training Epoch: 18 [32512/48750]	Loss: 0.2645	LR: 0.000800
Training Epoch: 18 [32768/48750]	Loss: 0.3529	LR: 0.000800
Training Epoch: 18 [33024/48750]	Loss: 0.2786	LR: 0.000800
Training Epoch: 18 [33280/48750]	Loss: 0.3391	LR: 0.000800
Training Epoch: 18 [33536/48750]	Loss: 0.2500	LR: 0.000800
Training Epoch: 18 [33792/48750]	Loss: 0.2567	LR: 0.000800
Training Epoch: 18 [34048/48750]	Loss: 0.2717	LR: 0.000800
Training Epoch: 18 [34304/48750]	Loss: 0.2716	LR: 0.000800
Training Epoch: 18 [34560/48750]	Loss: 0.2994	LR: 0.000800
Training Epoch: 18 [34816/48750]	Loss: 0.2738	LR: 0.000800
Training Epoch: 18 [35072/48750]	Loss: 0.3536	LR: 0.000800
Training Epoch: 18 [35328/48750]	Loss: 0.3480	LR: 0.000800
Training Epoch: 18 [35584/48750]	Loss: 0.2597	LR: 0.000800
Training Epoch: 18 [35840/48750]	Loss: 0.3485	LR: 0.000800
Training Epoch: 18 [36096/48750]	Loss: 0.3135	LR: 0.000800
Training Epoch: 18 [36352/48750]	Loss: 0.2480	LR: 0.000800
Training Epoch: 18 [36608/48750]	Loss: 0.3818	LR: 0.000800
Training Epoch: 18 [36864/48750]	Loss: 0.3374	LR: 0.000800
Training Epoch: 18 [37120/48750]	Loss: 0.2292	LR: 0.000800
Training Epoch: 18 [37376/48750]	Loss: 0.3514	LR: 0.000800
Training Epoch: 18 [37632/48750]	Loss: 0.3090	LR: 0.000800
Training Epoch: 18 [37888/48750]	Loss: 0.3436	LR: 0.000800
Training Epoch: 18 [38144/48750]	Loss: 0.2457	LR: 0.000800
Training Epoch: 18 [38400/48750]	Loss: 0.2591	LR: 0.000800
Training Epoch: 18 [38656/48750]	Loss: 0.2920	LR: 0.000800
Training Epoch: 18 [38912/48750]	Loss: 0.3306	LR: 0.000800
Training Epoch: 18 [39168/48750]	Loss: 0.3356	LR: 0.000800
Training Epoch: 18 [39424/48750]	Loss: 0.3500	LR: 0.000800
Training Epoch: 18 [39680/48750]	Loss: 0.3376	LR: 0.000800
Training Epoch: 18 [39936/48750]	Loss: 0.2709	LR: 0.000800
Training Epoch: 18 [40192/48750]	Loss: 0.3071	LR: 0.000800
Training Epoch: 18 [40448/48750]	Loss: 0.2569	LR: 0.000800
Training Epoch: 18 [40704/48750]	Loss: 0.3337	LR: 0.000800
Training Epoch: 18 [40960/48750]	Loss: 0.2674	LR: 0.000800
Training Epoch: 18 [41216/48750]	Loss: 0.3078	LR: 0.000800
Training Epoch: 18 [41472/48750]	Loss: 0.3886	LR: 0.000800
Training Epoch: 18 [41728/48750]	Loss: 0.2892	LR: 0.000800
Training Epoch: 18 [41984/48750]	Loss: 0.3639	LR: 0.000800
Training Epoch: 18 [42240/48750]	Loss: 0.3008	LR: 0.000800
Training Epoch: 18 [42496/48750]	Loss: 0.3004	LR: 0.000800
Training Epoch: 18 [42752/48750]	Loss: 0.2734	LR: 0.000800
Training Epoch: 18 [43008/48750]	Loss: 0.2760	LR: 0.000800
Training Epoch: 18 [43264/48750]	Loss: 0.3576	LR: 0.000800
Training Epoch: 18 [43520/48750]	Loss: 0.2645	LR: 0.000800
Training Epoch: 18 [43776/48750]	Loss: 0.3158	LR: 0.000800
Training Epoch: 18 [44032/48750]	Loss: 0.3356	LR: 0.000800
Training Epoch: 18 [44288/48750]	Loss: 0.3031	LR: 0.000800
Training Epoch: 18 [44544/48750]	Loss: 0.3046	LR: 0.000800
Training Epoch: 18 [44800/48750]	Loss: 0.3266	LR: 0.000800
Training Epoch: 18 [45056/48750]	Loss: 0.3445	LR: 0.000800
Training Epoch: 18 [45312/48750]	Loss: 0.3903	LR: 0.000800
Training Epoch: 18 [45568/48750]	Loss: 0.2940	LR: 0.000800
Training Epoch: 18 [45824/48750]	Loss: 0.3168	LR: 0.000800
Training Epoch: 18 [46080/48750]	Loss: 0.2670	LR: 0.000800
Training Epoch: 18 [46336/48750]	Loss: 0.2723	LR: 0.000800
Training Epoch: 18 [46592/48750]	Loss: 0.2759	LR: 0.000800
Training Epoch: 18 [46848/48750]	Loss: 0.2966	LR: 0.000800
Training Epoch: 18 [47104/48750]	Loss: 0.2639	LR: 0.000800
Training Epoch: 18 [47360/48750]	Loss: 0.3558	LR: 0.000800
Training Epoch: 18 [47616/48750]	Loss: 0.2463	LR: 0.000800
Training Epoch: 18 [47872/48750]	Loss: 0.3748	LR: 0.000800
Training Epoch: 18 [48128/48750]	Loss: 0.3167	LR: 0.000800
Training Epoch: 18 [48384/48750]	Loss: 0.3279	LR: 0.000800
Training Epoch: 18 [48640/48750]	Loss: 0.3527	LR: 0.000800
Training Epoch: 18 [48750/48750]	Loss: 0.3283	LR: 0.000800
Epoch 18 - Average Train Loss: 0.3048, Train Accuracy: 0.8957
Epoch 18 training time consumed: 27.52s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0014, Accuracy: 0.8784, Time consumed:0.97s
Training Epoch: 19 [256/48750]	Loss: 0.3215	LR: 0.000800
Training Epoch: 19 [512/48750]	Loss: 0.3461	LR: 0.000800
Training Epoch: 19 [768/48750]	Loss: 0.3019	LR: 0.000800
Training Epoch: 19 [1024/48750]	Loss: 0.3179	LR: 0.000800
Training Epoch: 19 [1280/48750]	Loss: 0.2512	LR: 0.000800
Training Epoch: 19 [1536/48750]	Loss: 0.3070	LR: 0.000800
Training Epoch: 19 [1792/48750]	Loss: 0.3511	LR: 0.000800
Training Epoch: 19 [2048/48750]	Loss: 0.3022	LR: 0.000800
Training Epoch: 19 [2304/48750]	Loss: 0.3806	LR: 0.000800
Training Epoch: 19 [2560/48750]	Loss: 0.2641	LR: 0.000800
Training Epoch: 19 [2816/48750]	Loss: 0.2671	LR: 0.000800
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Training Epoch: 19 [3584/48750]	Loss: 0.2246	LR: 0.000800
Training Epoch: 19 [3840/48750]	Loss: 0.3829	LR: 0.000800
Training Epoch: 19 [4096/48750]	Loss: 0.3612	LR: 0.000800
Training Epoch: 19 [4352/48750]	Loss: 0.3299	LR: 0.000800
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Training Epoch: 19 [5120/48750]	Loss: 0.3471	LR: 0.000800
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Training Epoch: 19 [6144/48750]	Loss: 0.3022	LR: 0.000800
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Training Epoch: 19 [8192/48750]	Loss: 0.3495	LR: 0.000800
Training Epoch: 19 [8448/48750]	Loss: 0.3452	LR: 0.000800
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Training Epoch: 19 [9472/48750]	Loss: 0.2797	LR: 0.000800
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Training Epoch: 19 [9984/48750]	Loss: 0.2398	LR: 0.000800
Training Epoch: 19 [10240/48750]	Loss: 0.3081	LR: 0.000800
Training Epoch: 19 [10496/48750]	Loss: 0.2688	LR: 0.000800
Training Epoch: 19 [10752/48750]	Loss: 0.3339	LR: 0.000800
Training Epoch: 19 [11008/48750]	Loss: 0.2797	LR: 0.000800
Training Epoch: 19 [11264/48750]	Loss: 0.3361	LR: 0.000800
Training Epoch: 19 [11520/48750]	Loss: 0.2938	LR: 0.000800
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Training Epoch: 19 [12032/48750]	Loss: 0.2938	LR: 0.000800
Training Epoch: 19 [12288/48750]	Loss: 0.2559	LR: 0.000800
Training Epoch: 19 [12544/48750]	Loss: 0.3093	LR: 0.000800
Training Epoch: 19 [12800/48750]	Loss: 0.3527	LR: 0.000800
Training Epoch: 19 [13056/48750]	Loss: 0.3648	LR: 0.000800
Training Epoch: 19 [13312/48750]	Loss: 0.3018	LR: 0.000800
Training Epoch: 19 [13568/48750]	Loss: 0.3109	LR: 0.000800
Training Epoch: 19 [13824/48750]	Loss: 0.3728	LR: 0.000800
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Training Epoch: 19 [15616/48750]	Loss: 0.3546	LR: 0.000800
Training Epoch: 19 [15872/48750]	Loss: 0.3148	LR: 0.000800
Training Epoch: 19 [16128/48750]	Loss: 0.3244	LR: 0.000800
Training Epoch: 19 [16384/48750]	Loss: 0.3441	LR: 0.000800
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Training Epoch: 19 [16896/48750]	Loss: 0.2110	LR: 0.000800
Training Epoch: 19 [17152/48750]	Loss: 0.2480	LR: 0.000800
Training Epoch: 19 [17408/48750]	Loss: 0.2609	LR: 0.000800
Training Epoch: 19 [17664/48750]	Loss: 0.2706	LR: 0.000800
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Training Epoch: 19 [19456/48750]	Loss: 0.3064	LR: 0.000800
Training Epoch: 19 [19712/48750]	Loss: 0.2512	LR: 0.000800
Training Epoch: 19 [19968/48750]	Loss: 0.2777	LR: 0.000800
Training Epoch: 19 [20224/48750]	Loss: 0.2453	LR: 0.000800
Training Epoch: 19 [20480/48750]	Loss: 0.3603	LR: 0.000800
Training Epoch: 19 [20736/48750]	Loss: 0.2298	LR: 0.000800
Training Epoch: 19 [20992/48750]	Loss: 0.3441	LR: 0.000800
Training Epoch: 19 [21248/48750]	Loss: 0.2845	LR: 0.000800
Training Epoch: 19 [21504/48750]	Loss: 0.2736	LR: 0.000800
Training Epoch: 19 [21760/48750]	Loss: 0.3357	LR: 0.000800
Training Epoch: 19 [22016/48750]	Loss: 0.2832	LR: 0.000800
Training Epoch: 19 [22272/48750]	Loss: 0.3020	LR: 0.000800
Training Epoch: 19 [22528/48750]	Loss: 0.2240	LR: 0.000800
Training Epoch: 19 [22784/48750]	Loss: 0.3289	LR: 0.000800
Training Epoch: 19 [23040/48750]	Loss: 0.2652	LR: 0.000800
Training Epoch: 19 [23296/48750]	Loss: 0.3053	LR: 0.000800
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Training Epoch: 19 [23808/48750]	Loss: 0.3063	LR: 0.000800
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Training Epoch: 19 [24320/48750]	Loss: 0.2835	LR: 0.000800
Training Epoch: 19 [24576/48750]	Loss: 0.3436	LR: 0.000800
Training Epoch: 19 [24832/48750]	Loss: 0.3029	LR: 0.000800
Training Epoch: 19 [25088/48750]	Loss: 0.3312	LR: 0.000800
Training Epoch: 19 [25344/48750]	Loss: 0.3064	LR: 0.000800
Training Epoch: 19 [25600/48750]	Loss: 0.2654	LR: 0.000800
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Training Epoch: 19 [35584/48750]	Loss: 0.3236	LR: 0.000800
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Training Epoch: 19 [36352/48750]	Loss: 0.3334	LR: 0.000800
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Training Epoch: 19 [37376/48750]	Loss: 0.2395	LR: 0.000800
Training Epoch: 19 [37632/48750]	Loss: 0.3353	LR: 0.000800
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Training Epoch: 19 [38144/48750]	Loss: 0.3286	LR: 0.000800
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Training Epoch: 19 [40704/48750]	Loss: 0.3695	LR: 0.000800
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Training Epoch: 19 [41472/48750]	Loss: 0.3525	LR: 0.000800
Training Epoch: 19 [41728/48750]	Loss: 0.3294	LR: 0.000800
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Training Epoch: 19 [43520/48750]	Loss: 0.2662	LR: 0.000800
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Training Epoch: 19 [44032/48750]	Loss: 0.3348	LR: 0.000800
Training Epoch: 19 [44288/48750]	Loss: 0.2953	LR: 0.000800
Training Epoch: 19 [44544/48750]	Loss: 0.3172	LR: 0.000800
Training Epoch: 19 [44800/48750]	Loss: 0.3522	LR: 0.000800
Training Epoch: 19 [45056/48750]	Loss: 0.3670	LR: 0.000800
Training Epoch: 19 [45312/48750]	Loss: 0.2794	LR: 0.000800
Training Epoch: 19 [45568/48750]	Loss: 0.3051	LR: 0.000800
Training Epoch: 19 [45824/48750]	Loss: 0.2421	LR: 0.000800
Training Epoch: 19 [46080/48750]	Loss: 0.2825	LR: 0.000800
Training Epoch: 19 [46336/48750]	Loss: 0.3173	LR: 0.000800
Training Epoch: 19 [46592/48750]	Loss: 0.3395	LR: 0.000800
Training Epoch: 19 [46848/48750]	Loss: 0.3028	LR: 0.000800
Training Epoch: 19 [47104/48750]	Loss: 0.3054	LR: 0.000800
Training Epoch: 19 [47360/48750]	Loss: 0.3159	LR: 0.000800
Training Epoch: 19 [47616/48750]	Loss: 0.2686	LR: 0.000800
Training Epoch: 19 [47872/48750]	Loss: 0.3469	LR: 0.000800
Training Epoch: 19 [48128/48750]	Loss: 0.3152	LR: 0.000800
Training Epoch: 19 [48384/48750]	Loss: 0.2360	LR: 0.000800
Training Epoch: 19 [48640/48750]	Loss: 0.3288	LR: 0.000800
Training Epoch: 19 [48750/48750]	Loss: 0.4045	LR: 0.000800
Epoch 19 - Average Train Loss: 0.3032, Train Accuracy: 0.8968
Epoch 19 training time consumed: 27.34s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0014, Accuracy: 0.8806, Time consumed:0.94s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_10h_23m_26s/AllCNN-Cifar10-seed7-ret75-19-best.pth
Training Epoch: 20 [256/48750]	Loss: 0.2633	LR: 0.000800
Training Epoch: 20 [512/48750]	Loss: 0.3010	LR: 0.000800
Training Epoch: 20 [768/48750]	Loss: 0.2833	LR: 0.000800
Training Epoch: 20 [1024/48750]	Loss: 0.3691	LR: 0.000800
Training Epoch: 20 [1280/48750]	Loss: 0.3334	LR: 0.000800
Training Epoch: 20 [1536/48750]	Loss: 0.3145	LR: 0.000800
Training Epoch: 20 [1792/48750]	Loss: 0.3613	LR: 0.000800
Training Epoch: 20 [2048/48750]	Loss: 0.2933	LR: 0.000800
Training Epoch: 20 [2304/48750]	Loss: 0.2904	LR: 0.000800
Training Epoch: 20 [2560/48750]	Loss: 0.3485	LR: 0.000800
Training Epoch: 20 [2816/48750]	Loss: 0.3069	LR: 0.000800
Training Epoch: 20 [3072/48750]	Loss: 0.2539	LR: 0.000800
Training Epoch: 20 [3328/48750]	Loss: 0.2742	LR: 0.000800
Training Epoch: 20 [3584/48750]	Loss: 0.2925	LR: 0.000800
Training Epoch: 20 [3840/48750]	Loss: 0.2504	LR: 0.000800
Training Epoch: 20 [4096/48750]	Loss: 0.3541	LR: 0.000800
Training Epoch: 20 [4352/48750]	Loss: 0.2869	LR: 0.000800
Training Epoch: 20 [4608/48750]	Loss: 0.3219	LR: 0.000800
Training Epoch: 20 [4864/48750]	Loss: 0.2898	LR: 0.000800
Training Epoch: 20 [5120/48750]	Loss: 0.3137	LR: 0.000800
Training Epoch: 20 [5376/48750]	Loss: 0.3030	LR: 0.000800
Training Epoch: 20 [5632/48750]	Loss: 0.2883	LR: 0.000800
Training Epoch: 20 [5888/48750]	Loss: 0.2807	LR: 0.000800
Training Epoch: 20 [6144/48750]	Loss: 0.3528	LR: 0.000800
Training Epoch: 20 [6400/48750]	Loss: 0.2331	LR: 0.000800
Training Epoch: 20 [6656/48750]	Loss: 0.2484	LR: 0.000800
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Training Epoch: 20 [7168/48750]	Loss: 0.2928	LR: 0.000800
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Training Epoch: 20 [7936/48750]	Loss: 0.2890	LR: 0.000800
Training Epoch: 20 [8192/48750]	Loss: 0.2838	LR: 0.000800
Training Epoch: 20 [8448/48750]	Loss: 0.3008	LR: 0.000800
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Training Epoch: 20 [10240/48750]	Loss: 0.2419	LR: 0.000800
Training Epoch: 20 [10496/48750]	Loss: 0.2714	LR: 0.000800
Training Epoch: 20 [10752/48750]	Loss: 0.3414	LR: 0.000800
Training Epoch: 20 [11008/48750]	Loss: 0.2800	LR: 0.000800
Training Epoch: 20 [11264/48750]	Loss: 0.3025	LR: 0.000800
Training Epoch: 20 [11520/48750]	Loss: 0.3200	LR: 0.000800
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Training Epoch: 20 [12032/48750]	Loss: 0.3098	LR: 0.000800
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Training Epoch: 20 [13312/48750]	Loss: 0.3332	LR: 0.000800
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Training Epoch: 20 [16128/48750]	Loss: 0.2849	LR: 0.000800
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Training Epoch: 20 [20224/48750]	Loss: 0.3621	LR: 0.000800
Training Epoch: 20 [20480/48750]	Loss: 0.3049	LR: 0.000800
Training Epoch: 20 [20736/48750]	Loss: 0.2821	LR: 0.000800
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Training Epoch: 20 [22016/48750]	Loss: 0.3084	LR: 0.000800
Training Epoch: 20 [22272/48750]	Loss: 0.2894	LR: 0.000800
Training Epoch: 20 [22528/48750]	Loss: 0.3771	LR: 0.000800
Training Epoch: 20 [22784/48750]	Loss: 0.2462	LR: 0.000800
Training Epoch: 20 [23040/48750]	Loss: 0.2693	LR: 0.000800
Training Epoch: 20 [23296/48750]	Loss: 0.2481	LR: 0.000800
Training Epoch: 20 [23552/48750]	Loss: 0.2741	LR: 0.000800
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Training Epoch: 20 [24320/48750]	Loss: 0.3945	LR: 0.000800
Training Epoch: 20 [24576/48750]	Loss: 0.3032	LR: 0.000800
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Training Epoch: 20 [25088/48750]	Loss: 0.3506	LR: 0.000800
Training Epoch: 20 [25344/48750]	Loss: 0.2947	LR: 0.000800
Training Epoch: 20 [25600/48750]	Loss: 0.2676	LR: 0.000800
Training Epoch: 20 [25856/48750]	Loss: 0.3287	LR: 0.000800
Training Epoch: 20 [26112/48750]	Loss: 0.3120	LR: 0.000800
Training Epoch: 20 [26368/48750]	Loss: 0.3461	LR: 0.000800
Training Epoch: 20 [26624/48750]	Loss: 0.3216	LR: 0.000800
Training Epoch: 20 [26880/48750]	Loss: 0.4689	LR: 0.000800
Training Epoch: 20 [27136/48750]	Loss: 0.3128	LR: 0.000800
Training Epoch: 20 [27392/48750]	Loss: 0.3085	LR: 0.000800
Training Epoch: 20 [27648/48750]	Loss: 0.2944	LR: 0.000800
Training Epoch: 20 [27904/48750]	Loss: 0.2679	LR: 0.000800
Training Epoch: 20 [28160/48750]	Loss: 0.3392	LR: 0.000800
Training Epoch: 20 [28416/48750]	Loss: 0.2884	LR: 0.000800
Training Epoch: 20 [28672/48750]	Loss: 0.3015	LR: 0.000800
Training Epoch: 20 [28928/48750]	Loss: 0.2983	LR: 0.000800
Training Epoch: 20 [29184/48750]	Loss: 0.2419	LR: 0.000800
Training Epoch: 20 [29440/48750]	Loss: 0.3690	LR: 0.000800
Training Epoch: 20 [29696/48750]	Loss: 0.3658	LR: 0.000800
Training Epoch: 20 [29952/48750]	Loss: 0.2793	LR: 0.000800
Training Epoch: 20 [30208/48750]	Loss: 0.2745	LR: 0.000800
Training Epoch: 20 [30464/48750]	Loss: 0.2773	LR: 0.000800
Training Epoch: 20 [30720/48750]	Loss: 0.2952	LR: 0.000800
Training Epoch: 20 [30976/48750]	Loss: 0.2930	LR: 0.000800
Training Epoch: 20 [31232/48750]	Loss: 0.2666	LR: 0.000800
Training Epoch: 20 [31488/48750]	Loss: 0.2909	LR: 0.000800
Training Epoch: 20 [31744/48750]	Loss: 0.3305	LR: 0.000800
Training Epoch: 20 [32000/48750]	Loss: 0.2426	LR: 0.000800
Training Epoch: 20 [32256/48750]	Loss: 0.2633	LR: 0.000800
Training Epoch: 20 [32512/48750]	Loss: 0.2796	LR: 0.000800
Training Epoch: 20 [32768/48750]	Loss: 0.2952	LR: 0.000800
Training Epoch: 20 [33024/48750]	Loss: 0.3391	LR: 0.000800
Training Epoch: 20 [33280/48750]	Loss: 0.2503	LR: 0.000800
Training Epoch: 20 [33536/48750]	Loss: 0.2683	LR: 0.000800
Training Epoch: 20 [33792/48750]	Loss: 0.2283	LR: 0.000800
Training Epoch: 20 [34048/48750]	Loss: 0.2935	LR: 0.000800
Training Epoch: 20 [34304/48750]	Loss: 0.3045	LR: 0.000800
Training Epoch: 20 [34560/48750]	Loss: 0.3483	LR: 0.000800
Training Epoch: 20 [34816/48750]	Loss: 0.3307	LR: 0.000800
Training Epoch: 20 [35072/48750]	Loss: 0.3814	LR: 0.000800
Training Epoch: 20 [35328/48750]	Loss: 0.2407	LR: 0.000800
Training Epoch: 20 [35584/48750]	Loss: 0.3438	LR: 0.000800
Training Epoch: 20 [35840/48750]	Loss: 0.2755	LR: 0.000800
Training Epoch: 20 [36096/48750]	Loss: 0.2470	LR: 0.000800
Training Epoch: 20 [36352/48750]	Loss: 0.2713	LR: 0.000800
Training Epoch: 20 [36608/48750]	Loss: 0.2726	LR: 0.000800
Training Epoch: 20 [36864/48750]	Loss: 0.3325	LR: 0.000800
Training Epoch: 20 [37120/48750]	Loss: 0.2097	LR: 0.000800
Training Epoch: 20 [37376/48750]	Loss: 0.3111	LR: 0.000800
Training Epoch: 20 [37632/48750]	Loss: 0.2805	LR: 0.000800
Training Epoch: 20 [37888/48750]	Loss: 0.3045	LR: 0.000800
Training Epoch: 20 [38144/48750]	Loss: 0.3346	LR: 0.000800
Training Epoch: 20 [38400/48750]	Loss: 0.2777	LR: 0.000800
Training Epoch: 20 [38656/48750]	Loss: 0.3573	LR: 0.000800
Training Epoch: 20 [38912/48750]	Loss: 0.3162	LR: 0.000800
Training Epoch: 20 [39168/48750]	Loss: 0.3450	LR: 0.000800
Training Epoch: 20 [39424/48750]	Loss: 0.2675	LR: 0.000800
Training Epoch: 20 [39680/48750]	Loss: 0.2521	LR: 0.000800
Training Epoch: 20 [39936/48750]	Loss: 0.3607	LR: 0.000800
Training Epoch: 20 [40192/48750]	Loss: 0.3485	LR: 0.000800
Training Epoch: 20 [40448/48750]	Loss: 0.3160	LR: 0.000800
Training Epoch: 20 [40704/48750]	Loss: 0.2585	LR: 0.000800
Training Epoch: 20 [40960/48750]	Loss: 0.3074	LR: 0.000800
Training Epoch: 20 [41216/48750]	Loss: 0.3899	LR: 0.000800
Training Epoch: 20 [41472/48750]	Loss: 0.3002	LR: 0.000800
Training Epoch: 20 [41728/48750]	Loss: 0.3025	LR: 0.000800
Training Epoch: 20 [41984/48750]	Loss: 0.3522	LR: 0.000800
Training Epoch: 20 [42240/48750]	Loss: 0.3517	LR: 0.000800
Training Epoch: 20 [42496/48750]	Loss: 0.2559	LR: 0.000800
Training Epoch: 20 [42752/48750]	Loss: 0.3338	LR: 0.000800
Training Epoch: 20 [43008/48750]	Loss: 0.3055	LR: 0.000800
Training Epoch: 20 [43264/48750]	Loss: 0.3353	LR: 0.000800
Training Epoch: 20 [43520/48750]	Loss: 0.2755	LR: 0.000800
Training Epoch: 20 [43776/48750]	Loss: 0.3484	LR: 0.000800
Training Epoch: 20 [44032/48750]	Loss: 0.3175	LR: 0.000800
Training Epoch: 20 [44288/48750]	Loss: 0.3231	LR: 0.000800
Training Epoch: 20 [44544/48750]	Loss: 0.3478	LR: 0.000800
Training Epoch: 20 [44800/48750]	Loss: 0.2493	LR: 0.000800
Training Epoch: 20 [45056/48750]	Loss: 0.3019	LR: 0.000800
Training Epoch: 20 [45312/48750]	Loss: 0.2512	LR: 0.000800
Training Epoch: 20 [45568/48750]	Loss: 0.2521	LR: 0.000800
Training Epoch: 20 [45824/48750]	Loss: 0.3230	LR: 0.000800
Training Epoch: 20 [46080/48750]	Loss: 0.3370	LR: 0.000800
Training Epoch: 20 [46336/48750]	Loss: 0.2815	LR: 0.000800
Training Epoch: 20 [46592/48750]	Loss: 0.2803	LR: 0.000800
Training Epoch: 20 [46848/48750]	Loss: 0.2764	LR: 0.000800
Training Epoch: 20 [47104/48750]	Loss: 0.2207	LR: 0.000800
Training Epoch: 20 [47360/48750]	Loss: 0.2881	LR: 0.000800
Training Epoch: 20 [47616/48750]	Loss: 0.2379	LR: 0.000800
Training Epoch: 20 [47872/48750]	Loss: 0.2755	LR: 0.000800
Training Epoch: 20 [48128/48750]	Loss: 0.2969	LR: 0.000800
Training Epoch: 20 [48384/48750]	Loss: 0.2809	LR: 0.000800
Training Epoch: 20 [48640/48750]	Loss: 0.2919	LR: 0.000800
Training Epoch: 20 [48750/48750]	Loss: 0.3804	LR: 0.000800
Epoch 20 - Average Train Loss: 0.3003, Train Accuracy: 0.8971
Epoch 20 training time consumed: 27.33s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0014, Accuracy: 0.8785, Time consumed:0.92s
Valid (Test) Dl:  10000
Train Dl:  50000
Retain Train Dl:  48750
Forget Train Dl:  1250
Retain Valid Dl:  48750
Forget Valid Dl:  1250
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 1250 samples
Set1 Distribution: 1250 samples
Set2 Distribution: 1250 samples
Set1 Distribution: 1250 samples
Set2 Distribution: 1250 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Test Accuracy: 87.98828125
Retain Accuracy: 90.25289154052734
Zero-Retain Forget (ZRF): 0.8512449860572815
Membership Inference Attack (MIA): 0.4136
Forget vs Retain Membership Inference Attack (MIA): 0.45
Forget vs Test Membership Inference Attack (MIA): 0.52
Test vs Retain Membership Inference Attack (MIA): 0.507
Train vs Test Membership Inference Attack (MIA): 0.5145
Forget Set Accuracy (Df): 87.81318664550781
Method Execution Time: 1070.45 seconds
