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: 4625
  Class 1: 4625
  Class 2: 4625
  Class 3: 4625
  Class 4: 4625
  Class 5: 4625
  Class 6: 4625
  Class 7: 4625
  Class 8: 4625
  Class 9: 4625
Forget set:
  Class 0: 375
  Class 1: 375
  Class 2: 375
  Class 3: 375
  Class 4: 375
  Class 5: 375
  Class 6: 375
  Class 7: 375
  Class 8: 375
  Class 9: 375
hello
hello
⚠️ Warning: Retain train loader may not be shuffled.
Training Epoch: 1 [256/46250]	Loss: 2.3146	LR: 0.000000
Training Epoch: 1 [512/46250]	Loss: 2.3079	LR: 0.000552
Training Epoch: 1 [768/46250]	Loss: 2.3323	LR: 0.001105
Training Epoch: 1 [1024/46250]	Loss: 2.3324	LR: 0.001657
Training Epoch: 1 [1280/46250]	Loss: 2.3064	LR: 0.002210
Training Epoch: 1 [1536/46250]	Loss: 2.3196	LR: 0.002762
Training Epoch: 1 [1792/46250]	Loss: 2.2961	LR: 0.003315
Training Epoch: 1 [2048/46250]	Loss: 2.2907	LR: 0.003867
Training Epoch: 1 [2304/46250]	Loss: 2.2612	LR: 0.004420
Training Epoch: 1 [2560/46250]	Loss: 2.2815	LR: 0.004972
Training Epoch: 1 [2816/46250]	Loss: 2.2457	LR: 0.005525
Training Epoch: 1 [3072/46250]	Loss: 2.2057	LR: 0.006077
Training Epoch: 1 [3328/46250]	Loss: 2.1866	LR: 0.006630
Training Epoch: 1 [3584/46250]	Loss: 2.1870	LR: 0.007182
Training Epoch: 1 [3840/46250]	Loss: 2.1636	LR: 0.007735
Training Epoch: 1 [4096/46250]	Loss: 2.1492	LR: 0.008287
Training Epoch: 1 [4352/46250]	Loss: 2.1677	LR: 0.008840
Training Epoch: 1 [4608/46250]	Loss: 2.1335	LR: 0.009392
Training Epoch: 1 [4864/46250]	Loss: 2.0680	LR: 0.009945
Training Epoch: 1 [5120/46250]	Loss: 2.0633	LR: 0.010497
Training Epoch: 1 [5376/46250]	Loss: 2.0225	LR: 0.011050
Training Epoch: 1 [5632/46250]	Loss: 1.9957	LR: 0.011602
Training Epoch: 1 [5888/46250]	Loss: 1.9956	LR: 0.012155
Training Epoch: 1 [6144/46250]	Loss: 1.9842	LR: 0.012707
Training Epoch: 1 [6400/46250]	Loss: 1.9209	LR: 0.013260
Training Epoch: 1 [6656/46250]	Loss: 1.9574	LR: 0.013812
Training Epoch: 1 [6912/46250]	Loss: 1.9506	LR: 0.014365
Training Epoch: 1 [7168/46250]	Loss: 1.8894	LR: 0.014917
Training Epoch: 1 [7424/46250]	Loss: 1.9759	LR: 0.015470
Training Epoch: 1 [7680/46250]	Loss: 1.8864	LR: 0.016022
Training Epoch: 1 [7936/46250]	Loss: 1.9070	LR: 0.016575
Training Epoch: 1 [8192/46250]	Loss: 1.9396	LR: 0.017127
Training Epoch: 1 [8448/46250]	Loss: 1.8654	LR: 0.017680
Training Epoch: 1 [8704/46250]	Loss: 1.9047	LR: 0.018232
Training Epoch: 1 [8960/46250]	Loss: 1.8455	LR: 0.018785
Training Epoch: 1 [9216/46250]	Loss: 1.8205	LR: 0.019337
Training Epoch: 1 [9472/46250]	Loss: 1.9324	LR: 0.019890
Training Epoch: 1 [9728/46250]	Loss: 1.8019	LR: 0.020442
Training Epoch: 1 [9984/46250]	Loss: 1.8134	LR: 0.020994
Training Epoch: 1 [10240/46250]	Loss: 1.8190	LR: 0.021547
Training Epoch: 1 [10496/46250]	Loss: 1.7933	LR: 0.022099
Training Epoch: 1 [10752/46250]	Loss: 1.8295	LR: 0.022652
Training Epoch: 1 [11008/46250]	Loss: 1.7886	LR: 0.023204
Training Epoch: 1 [11264/46250]	Loss: 1.9285	LR: 0.023757
Training Epoch: 1 [11520/46250]	Loss: 1.7299	LR: 0.024309
Training Epoch: 1 [11776/46250]	Loss: 1.7593	LR: 0.024862
Training Epoch: 1 [12032/46250]	Loss: 1.8071	LR: 0.025414
Training Epoch: 1 [12288/46250]	Loss: 1.8735	LR: 0.025967
Training Epoch: 1 [12544/46250]	Loss: 1.7842	LR: 0.026519
Training Epoch: 1 [12800/46250]	Loss: 1.6328	LR: 0.027072
Training Epoch: 1 [13056/46250]	Loss: 1.8024	LR: 0.027624
Training Epoch: 1 [13312/46250]	Loss: 1.7555	LR: 0.028177
Training Epoch: 1 [13568/46250]	Loss: 1.7286	LR: 0.028729
Training Epoch: 1 [13824/46250]	Loss: 1.7641	LR: 0.029282
Training Epoch: 1 [14080/46250]	Loss: 1.7967	LR: 0.029834
Training Epoch: 1 [14336/46250]	Loss: 1.7948	LR: 0.030387
Training Epoch: 1 [14592/46250]	Loss: 1.7859	LR: 0.030939
Training Epoch: 1 [14848/46250]	Loss: 1.6675	LR: 0.031492
Training Epoch: 1 [15104/46250]	Loss: 1.7092	LR: 0.032044
Training Epoch: 1 [15360/46250]	Loss: 1.7220	LR: 0.032597
Training Epoch: 1 [15616/46250]	Loss: 1.7277	LR: 0.033149
Training Epoch: 1 [15872/46250]	Loss: 1.6642	LR: 0.033702
Training Epoch: 1 [16128/46250]	Loss: 1.6649	LR: 0.034254
Training Epoch: 1 [16384/46250]	Loss: 1.7079	LR: 0.034807
Training Epoch: 1 [16640/46250]	Loss: 1.7029	LR: 0.035359
Training Epoch: 1 [16896/46250]	Loss: 1.8707	LR: 0.035912
Training Epoch: 1 [17152/46250]	Loss: 1.5945	LR: 0.036464
Training Epoch: 1 [17408/46250]	Loss: 1.6246	LR: 0.037017
Training Epoch: 1 [17664/46250]	Loss: 1.6539	LR: 0.037569
Training Epoch: 1 [17920/46250]	Loss: 1.6879	LR: 0.038122
Training Epoch: 1 [18176/46250]	Loss: 1.6894	LR: 0.038674
Training Epoch: 1 [18432/46250]	Loss: 1.6243	LR: 0.039227
Training Epoch: 1 [18688/46250]	Loss: 1.7447	LR: 0.039779
Training Epoch: 1 [18944/46250]	Loss: 1.5790	LR: 0.040331
Training Epoch: 1 [19200/46250]	Loss: 1.5986	LR: 0.040884
Training Epoch: 1 [19456/46250]	Loss: 1.6142	LR: 0.041436
Training Epoch: 1 [19712/46250]	Loss: 1.5639	LR: 0.041989
Training Epoch: 1 [19968/46250]	Loss: 1.5420	LR: 0.042541
Training Epoch: 1 [20224/46250]	Loss: 1.6889	LR: 0.043094
Training Epoch: 1 [20480/46250]	Loss: 1.6398	LR: 0.043646
Training Epoch: 1 [20736/46250]	Loss: 1.5414	LR: 0.044199
Training Epoch: 1 [20992/46250]	Loss: 1.5890	LR: 0.044751
Training Epoch: 1 [21248/46250]	Loss: 1.6444	LR: 0.045304
Training Epoch: 1 [21504/46250]	Loss: 1.5548	LR: 0.045856
Training Epoch: 1 [21760/46250]	Loss: 1.5675	LR: 0.046409
Training Epoch: 1 [22016/46250]	Loss: 1.5759	LR: 0.046961
Training Epoch: 1 [22272/46250]	Loss: 1.5861	LR: 0.047514
Training Epoch: 1 [22528/46250]	Loss: 1.5114	LR: 0.048066
Training Epoch: 1 [22784/46250]	Loss: 1.4996	LR: 0.048619
Training Epoch: 1 [23040/46250]	Loss: 1.5862	LR: 0.049171
Training Epoch: 1 [23296/46250]	Loss: 1.5123	LR: 0.049724
Training Epoch: 1 [23552/46250]	Loss: 1.6321	LR: 0.050276
Training Epoch: 1 [23808/46250]	Loss: 1.6022	LR: 0.050829
Training Epoch: 1 [24064/46250]	Loss: 1.5238	LR: 0.051381
Training Epoch: 1 [24320/46250]	Loss: 1.5122	LR: 0.051934
Training Epoch: 1 [24576/46250]	Loss: 1.5374	LR: 0.052486
Training Epoch: 1 [24832/46250]	Loss: 1.5996	LR: 0.053039
Training Epoch: 1 [25088/46250]	Loss: 1.4789	LR: 0.053591
Training Epoch: 1 [25344/46250]	Loss: 1.4987	LR: 0.054144
Training Epoch: 1 [25600/46250]	Loss: 1.5793	LR: 0.054696
Training Epoch: 1 [25856/46250]	Loss: 1.6737	LR: 0.055249
Training Epoch: 1 [26112/46250]	Loss: 1.5353	LR: 0.055801
Training Epoch: 1 [26368/46250]	Loss: 1.5753	LR: 0.056354
Training Epoch: 1 [26624/46250]	Loss: 1.4961	LR: 0.056906
Training Epoch: 1 [26880/46250]	Loss: 1.5470	LR: 0.057459
Training Epoch: 1 [27136/46250]	Loss: 1.6588	LR: 0.058011
Training Epoch: 1 [27392/46250]	Loss: 1.5217	LR: 0.058564
Training Epoch: 1 [27648/46250]	Loss: 1.5154	LR: 0.059116
Training Epoch: 1 [27904/46250]	Loss: 1.4804	LR: 0.059669
Training Epoch: 1 [28160/46250]	Loss: 1.4971	LR: 0.060221
Training Epoch: 1 [28416/46250]	Loss: 1.5273	LR: 0.060773
Training Epoch: 1 [28672/46250]	Loss: 1.4394	LR: 0.061326
Training Epoch: 1 [28928/46250]	Loss: 1.6070	LR: 0.061878
Training Epoch: 1 [29184/46250]	Loss: 1.4818	LR: 0.062431
Training Epoch: 1 [29440/46250]	Loss: 1.5538	LR: 0.062983
Training Epoch: 1 [29696/46250]	Loss: 1.5854	LR: 0.063536
Training Epoch: 1 [29952/46250]	Loss: 1.4161	LR: 0.064088
Training Epoch: 1 [30208/46250]	Loss: 1.5680	LR: 0.064641
Training Epoch: 1 [30464/46250]	Loss: 1.4666	LR: 0.065193
Training Epoch: 1 [30720/46250]	Loss: 1.6405	LR: 0.065746
Training Epoch: 1 [30976/46250]	Loss: 1.5818	LR: 0.066298
Training Epoch: 1 [31232/46250]	Loss: 1.4916	LR: 0.066851
Training Epoch: 1 [31488/46250]	Loss: 1.5076	LR: 0.067403
Training Epoch: 1 [31744/46250]	Loss: 1.4982	LR: 0.067956
Training Epoch: 1 [32000/46250]	Loss: 1.5067	LR: 0.068508
Training Epoch: 1 [32256/46250]	Loss: 1.5846	LR: 0.069061
Training Epoch: 1 [32512/46250]	Loss: 1.4704	LR: 0.069613
Training Epoch: 1 [32768/46250]	Loss: 1.5548	LR: 0.070166
Training Epoch: 1 [33024/46250]	Loss: 1.4014	LR: 0.070718
Training Epoch: 1 [33280/46250]	Loss: 1.5482	LR: 0.071271
Training Epoch: 1 [33536/46250]	Loss: 1.5174	LR: 0.071823
Training Epoch: 1 [33792/46250]	Loss: 1.4072	LR: 0.072376
Training Epoch: 1 [34048/46250]	Loss: 1.4102	LR: 0.072928
Training Epoch: 1 [34304/46250]	Loss: 1.3585	LR: 0.073481
Training Epoch: 1 [34560/46250]	Loss: 1.3849	LR: 0.074033
Training Epoch: 1 [34816/46250]	Loss: 1.5047	LR: 0.074586
Training Epoch: 1 [35072/46250]	Loss: 1.4576	LR: 0.075138
Training Epoch: 1 [35328/46250]	Loss: 1.5027	LR: 0.075691
Training Epoch: 1 [35584/46250]	Loss: 1.4500	LR: 0.076243
Training Epoch: 1 [35840/46250]	Loss: 1.4564	LR: 0.076796
Training Epoch: 1 [36096/46250]	Loss: 1.3900	LR: 0.077348
Training Epoch: 1 [36352/46250]	Loss: 1.5337	LR: 0.077901
Training Epoch: 1 [36608/46250]	Loss: 1.4341	LR: 0.078453
Training Epoch: 1 [36864/46250]	Loss: 1.4125	LR: 0.079006
Training Epoch: 1 [37120/46250]	Loss: 1.4657	LR: 0.079558
Training Epoch: 1 [37376/46250]	Loss: 1.3759	LR: 0.080110
Training Epoch: 1 [37632/46250]	Loss: 1.5900	LR: 0.080663
Training Epoch: 1 [37888/46250]	Loss: 1.4561	LR: 0.081215
Training Epoch: 1 [38144/46250]	Loss: 1.4704	LR: 0.081768
Training Epoch: 1 [38400/46250]	Loss: 1.3923	LR: 0.082320
Training Epoch: 1 [38656/46250]	Loss: 1.3260	LR: 0.082873
Training Epoch: 1 [38912/46250]	Loss: 1.5428	LR: 0.083425
Training Epoch: 1 [39168/46250]	Loss: 1.3875	LR: 0.083978
Training Epoch: 1 [39424/46250]	Loss: 1.5007	LR: 0.084530
Training Epoch: 1 [39680/46250]	Loss: 1.3987	LR: 0.085083
Training Epoch: 1 [39936/46250]	Loss: 1.4140	LR: 0.085635
Training Epoch: 1 [40192/46250]	Loss: 1.4312	LR: 0.086188
Training Epoch: 1 [40448/46250]	Loss: 1.4958	LR: 0.086740
Training Epoch: 1 [40704/46250]	Loss: 1.5215	LR: 0.087293
Training Epoch: 1 [40960/46250]	Loss: 1.3544	LR: 0.087845
Training Epoch: 1 [41216/46250]	Loss: 1.4214	LR: 0.088398
Training Epoch: 1 [41472/46250]	Loss: 1.4745	LR: 0.088950
Training Epoch: 1 [41728/46250]	Loss: 1.4076	LR: 0.089503
Training Epoch: 1 [41984/46250]	Loss: 1.5061	LR: 0.090055
Training Epoch: 1 [42240/46250]	Loss: 1.2554	LR: 0.090608
Training Epoch: 1 [42496/46250]	Loss: 1.3872	LR: 0.091160
Training Epoch: 1 [42752/46250]	Loss: 1.4524	LR: 0.091713
Training Epoch: 1 [43008/46250]	Loss: 1.3314	LR: 0.092265
Training Epoch: 1 [43264/46250]	Loss: 1.3601	LR: 0.092818
Training Epoch: 1 [43520/46250]	Loss: 1.3215	LR: 0.093370
Training Epoch: 1 [43776/46250]	Loss: 1.2652	LR: 0.093923
Training Epoch: 1 [44032/46250]	Loss: 1.2970	LR: 0.094475
Training Epoch: 1 [44288/46250]	Loss: 1.3589	LR: 0.095028
Training Epoch: 1 [44544/46250]	Loss: 1.4931	LR: 0.095580
Training Epoch: 1 [44800/46250]	Loss: 1.3890	LR: 0.096133
Training Epoch: 1 [45056/46250]	Loss: 1.4264	LR: 0.096685
Training Epoch: 1 [45312/46250]	Loss: 1.4048	LR: 0.097238
Training Epoch: 1 [45568/46250]	Loss: 1.2742	LR: 0.097790
Training Epoch: 1 [45824/46250]	Loss: 1.4448	LR: 0.098343
Training Epoch: 1 [46080/46250]	Loss: 1.4440	LR: 0.098895
Training Epoch: 1 [46250/46250]	Loss: 1.2853	LR: 0.099448
Epoch 1 - Average Train Loss: 1.6631, Train Accuracy: 0.3790
Epoch 1 training time consumed: 26.10s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0080, Accuracy: 0.3998, Time consumed:1.10s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_21h_58m_05s/AllCNN-Cifar10-seed10-ret25-1-best.pth
Training Epoch: 2 [256/46250]	Loss: 1.4383	LR: 0.100000
Training Epoch: 2 [512/46250]	Loss: 1.4301	LR: 0.100000
Training Epoch: 2 [768/46250]	Loss: 1.3105	LR: 0.100000
Training Epoch: 2 [1024/46250]	Loss: 1.3118	LR: 0.100000
Training Epoch: 2 [1280/46250]	Loss: 1.3525	LR: 0.100000
Training Epoch: 2 [1536/46250]	Loss: 1.4153	LR: 0.100000
Training Epoch: 2 [1792/46250]	Loss: 1.4585	LR: 0.100000
Training Epoch: 2 [2048/46250]	Loss: 1.3518	LR: 0.100000
Training Epoch: 2 [2304/46250]	Loss: 1.4092	LR: 0.100000
Training Epoch: 2 [2560/46250]	Loss: 1.3680	LR: 0.100000
Training Epoch: 2 [2816/46250]	Loss: 1.2588	LR: 0.100000
Training Epoch: 2 [3072/46250]	Loss: 1.2912	LR: 0.100000
Training Epoch: 2 [3328/46250]	Loss: 1.3512	LR: 0.100000
Training Epoch: 2 [3584/46250]	Loss: 1.2993	LR: 0.100000
Training Epoch: 2 [3840/46250]	Loss: 1.3044	LR: 0.100000
Training Epoch: 2 [4096/46250]	Loss: 1.2576	LR: 0.100000
Training Epoch: 2 [4352/46250]	Loss: 1.3276	LR: 0.100000
Training Epoch: 2 [4608/46250]	Loss: 1.2706	LR: 0.100000
Training Epoch: 2 [4864/46250]	Loss: 1.4253	LR: 0.100000
Training Epoch: 2 [5120/46250]	Loss: 1.2672	LR: 0.100000
Training Epoch: 2 [5376/46250]	Loss: 1.2612	LR: 0.100000
Training Epoch: 2 [5632/46250]	Loss: 1.3413	LR: 0.100000
Training Epoch: 2 [5888/46250]	Loss: 1.2730	LR: 0.100000
Training Epoch: 2 [6144/46250]	Loss: 1.2751	LR: 0.100000
Training Epoch: 2 [6400/46250]	Loss: 1.3583	LR: 0.100000
Training Epoch: 2 [6656/46250]	Loss: 1.3311	LR: 0.100000
Training Epoch: 2 [6912/46250]	Loss: 1.3813	LR: 0.100000
Training Epoch: 2 [7168/46250]	Loss: 1.3007	LR: 0.100000
Training Epoch: 2 [7424/46250]	Loss: 1.2164	LR: 0.100000
Training Epoch: 2 [7680/46250]	Loss: 1.3500	LR: 0.100000
Training Epoch: 2 [7936/46250]	Loss: 1.2152	LR: 0.100000
Training Epoch: 2 [8192/46250]	Loss: 1.3328	LR: 0.100000
Training Epoch: 2 [8448/46250]	Loss: 1.3419	LR: 0.100000
Training Epoch: 2 [8704/46250]	Loss: 1.1766	LR: 0.100000
Training Epoch: 2 [8960/46250]	Loss: 1.1401	LR: 0.100000
Training Epoch: 2 [9216/46250]	Loss: 1.2683	LR: 0.100000
Training Epoch: 2 [9472/46250]	Loss: 1.2996	LR: 0.100000
Training Epoch: 2 [9728/46250]	Loss: 1.1756	LR: 0.100000
Training Epoch: 2 [9984/46250]	Loss: 1.0553	LR: 0.100000
Training Epoch: 2 [10240/46250]	Loss: 1.3196	LR: 0.100000
Training Epoch: 2 [10496/46250]	Loss: 1.1846	LR: 0.100000
Training Epoch: 2 [10752/46250]	Loss: 1.4612	LR: 0.100000
Training Epoch: 2 [11008/46250]	Loss: 1.2567	LR: 0.100000
Training Epoch: 2 [11264/46250]	Loss: 1.1621	LR: 0.100000
Training Epoch: 2 [11520/46250]	Loss: 1.3175	LR: 0.100000
Training Epoch: 2 [11776/46250]	Loss: 1.2647	LR: 0.100000
Training Epoch: 2 [12032/46250]	Loss: 1.2717	LR: 0.100000
Training Epoch: 2 [12288/46250]	Loss: 1.1226	LR: 0.100000
Training Epoch: 2 [12544/46250]	Loss: 1.0812	LR: 0.100000
Training Epoch: 2 [12800/46250]	Loss: 1.1533	LR: 0.100000
Training Epoch: 2 [13056/46250]	Loss: 1.2268	LR: 0.100000
Training Epoch: 2 [13312/46250]	Loss: 1.3326	LR: 0.100000
Training Epoch: 2 [13568/46250]	Loss: 1.0923	LR: 0.100000
Training Epoch: 2 [13824/46250]	Loss: 1.1857	LR: 0.100000
Training Epoch: 2 [14080/46250]	Loss: 1.1741	LR: 0.100000
Training Epoch: 2 [14336/46250]	Loss: 1.2758	LR: 0.100000
Training Epoch: 2 [14592/46250]	Loss: 1.3055	LR: 0.100000
Training Epoch: 2 [14848/46250]	Loss: 1.1732	LR: 0.100000
Training Epoch: 2 [15104/46250]	Loss: 1.3119	LR: 0.100000
Training Epoch: 2 [15360/46250]	Loss: 1.0565	LR: 0.100000
Training Epoch: 2 [15616/46250]	Loss: 1.2891	LR: 0.100000
Training Epoch: 2 [15872/46250]	Loss: 1.2948	LR: 0.100000
Training Epoch: 2 [16128/46250]	Loss: 1.2217	LR: 0.100000
Training Epoch: 2 [16384/46250]	Loss: 1.0960	LR: 0.100000
Training Epoch: 2 [16640/46250]	Loss: 1.1711	LR: 0.100000
Training Epoch: 2 [16896/46250]	Loss: 1.2993	LR: 0.100000
Training Epoch: 2 [17152/46250]	Loss: 1.2494	LR: 0.100000
Training Epoch: 2 [17408/46250]	Loss: 1.2463	LR: 0.100000
Training Epoch: 2 [17664/46250]	Loss: 1.2390	LR: 0.100000
Training Epoch: 2 [17920/46250]	Loss: 1.1480	LR: 0.100000
Training Epoch: 2 [18176/46250]	Loss: 1.1753	LR: 0.100000
Training Epoch: 2 [18432/46250]	Loss: 1.1527	LR: 0.100000
Training Epoch: 2 [18688/46250]	Loss: 1.1767	LR: 0.100000
Training Epoch: 2 [18944/46250]	Loss: 1.2473	LR: 0.100000
Training Epoch: 2 [19200/46250]	Loss: 1.2824	LR: 0.100000
Training Epoch: 2 [19456/46250]	Loss: 1.1291	LR: 0.100000
Training Epoch: 2 [19712/46250]	Loss: 1.0594	LR: 0.100000
Training Epoch: 2 [19968/46250]	Loss: 1.1689	LR: 0.100000
Training Epoch: 2 [20224/46250]	Loss: 1.0382	LR: 0.100000
Training Epoch: 2 [20480/46250]	Loss: 1.1936	LR: 0.100000
Training Epoch: 2 [20736/46250]	Loss: 1.1715	LR: 0.100000
Training Epoch: 2 [20992/46250]	Loss: 1.1847	LR: 0.100000
Training Epoch: 2 [21248/46250]	Loss: 1.0612	LR: 0.100000
Training Epoch: 2 [21504/46250]	Loss: 1.1287	LR: 0.100000
Training Epoch: 2 [21760/46250]	Loss: 1.1651	LR: 0.100000
Training Epoch: 2 [22016/46250]	Loss: 1.0181	LR: 0.100000
Training Epoch: 2 [22272/46250]	Loss: 1.2943	LR: 0.100000
Training Epoch: 2 [22528/46250]	Loss: 1.1419	LR: 0.100000
Training Epoch: 2 [22784/46250]	Loss: 1.0358	LR: 0.100000
Training Epoch: 2 [23040/46250]	Loss: 1.2696	LR: 0.100000
Training Epoch: 2 [23296/46250]	Loss: 1.1498	LR: 0.100000
Training Epoch: 2 [23552/46250]	Loss: 1.1951	LR: 0.100000
Training Epoch: 2 [23808/46250]	Loss: 1.1457	LR: 0.100000
Training Epoch: 2 [24064/46250]	Loss: 1.1396	LR: 0.100000
Training Epoch: 2 [24320/46250]	Loss: 1.2448	LR: 0.100000
Training Epoch: 2 [24576/46250]	Loss: 1.2777	LR: 0.100000
Training Epoch: 2 [24832/46250]	Loss: 1.3543	LR: 0.100000
Training Epoch: 2 [25088/46250]	Loss: 1.2214	LR: 0.100000
Training Epoch: 2 [25344/46250]	Loss: 1.1829	LR: 0.100000
Training Epoch: 2 [25600/46250]	Loss: 1.2114	LR: 0.100000
Training Epoch: 2 [25856/46250]	Loss: 1.1520	LR: 0.100000
Training Epoch: 2 [26112/46250]	Loss: 1.1693	LR: 0.100000
Training Epoch: 2 [26368/46250]	Loss: 1.1229	LR: 0.100000
Training Epoch: 2 [26624/46250]	Loss: 1.1562	LR: 0.100000
Training Epoch: 2 [26880/46250]	Loss: 1.0604	LR: 0.100000
Training Epoch: 2 [27136/46250]	Loss: 1.1277	LR: 0.100000
Training Epoch: 2 [27392/46250]	Loss: 1.0223	LR: 0.100000
Training Epoch: 2 [27648/46250]	Loss: 1.2192	LR: 0.100000
Training Epoch: 2 [27904/46250]	Loss: 1.1189	LR: 0.100000
Training Epoch: 2 [28160/46250]	Loss: 1.1376	LR: 0.100000
Training Epoch: 2 [28416/46250]	Loss: 1.0793	LR: 0.100000
Training Epoch: 2 [28672/46250]	Loss: 1.2100	LR: 0.100000
Training Epoch: 2 [28928/46250]	Loss: 1.0967	LR: 0.100000
Training Epoch: 2 [29184/46250]	Loss: 1.1164	LR: 0.100000
Training Epoch: 2 [29440/46250]	Loss: 1.1418	LR: 0.100000
Training Epoch: 2 [29696/46250]	Loss: 1.3491	LR: 0.100000
Training Epoch: 2 [29952/46250]	Loss: 1.0776	LR: 0.100000
Training Epoch: 2 [30208/46250]	Loss: 1.1062	LR: 0.100000
Training Epoch: 2 [30464/46250]	Loss: 1.1362	LR: 0.100000
Training Epoch: 2 [30720/46250]	Loss: 1.0414	LR: 0.100000
Training Epoch: 2 [30976/46250]	Loss: 1.1348	LR: 0.100000
Training Epoch: 2 [31232/46250]	Loss: 1.0729	LR: 0.100000
Training Epoch: 2 [31488/46250]	Loss: 1.0620	LR: 0.100000
Training Epoch: 2 [31744/46250]	Loss: 1.0962	LR: 0.100000
Training Epoch: 2 [32000/46250]	Loss: 1.1167	LR: 0.100000
Training Epoch: 2 [32256/46250]	Loss: 1.1067	LR: 0.100000
Training Epoch: 2 [32512/46250]	Loss: 1.0885	LR: 0.100000
Training Epoch: 2 [32768/46250]	Loss: 1.0282	LR: 0.100000
Training Epoch: 2 [33024/46250]	Loss: 1.1421	LR: 0.100000
Training Epoch: 2 [33280/46250]	Loss: 1.1523	LR: 0.100000
Training Epoch: 2 [33536/46250]	Loss: 1.2066	LR: 0.100000
Training Epoch: 2 [33792/46250]	Loss: 1.0588	LR: 0.100000
Training Epoch: 2 [34048/46250]	Loss: 1.0456	LR: 0.100000
Training Epoch: 2 [34304/46250]	Loss: 1.0947	LR: 0.100000
Training Epoch: 2 [34560/46250]	Loss: 1.1775	LR: 0.100000
Training Epoch: 2 [34816/46250]	Loss: 1.0246	LR: 0.100000
Training Epoch: 2 [35072/46250]	Loss: 1.2513	LR: 0.100000
Training Epoch: 2 [35328/46250]	Loss: 1.0231	LR: 0.100000
Training Epoch: 2 [35584/46250]	Loss: 1.1242	LR: 0.100000
Training Epoch: 2 [35840/46250]	Loss: 1.1375	LR: 0.100000
Training Epoch: 2 [36096/46250]	Loss: 1.0254	LR: 0.100000
Training Epoch: 2 [36352/46250]	Loss: 1.2542	LR: 0.100000
Training Epoch: 2 [36608/46250]	Loss: 1.2184	LR: 0.100000
Training Epoch: 2 [36864/46250]	Loss: 0.9752	LR: 0.100000
Training Epoch: 2 [37120/46250]	Loss: 1.0823	LR: 0.100000
Training Epoch: 2 [37376/46250]	Loss: 1.0339	LR: 0.100000
Training Epoch: 2 [37632/46250]	Loss: 1.0643	LR: 0.100000
Training Epoch: 2 [37888/46250]	Loss: 1.0746	LR: 0.100000
Training Epoch: 2 [38144/46250]	Loss: 1.0235	LR: 0.100000
Training Epoch: 2 [38400/46250]	Loss: 1.1427	LR: 0.100000
Training Epoch: 2 [38656/46250]	Loss: 1.0849	LR: 0.100000
Training Epoch: 2 [38912/46250]	Loss: 1.2205	LR: 0.100000
Training Epoch: 2 [39168/46250]	Loss: 1.1558	LR: 0.100000
Training Epoch: 2 [39424/46250]	Loss: 1.1002	LR: 0.100000
Training Epoch: 2 [39680/46250]	Loss: 1.0953	LR: 0.100000
Training Epoch: 2 [39936/46250]	Loss: 1.1359	LR: 0.100000
Training Epoch: 2 [40192/46250]	Loss: 1.1594	LR: 0.100000
Training Epoch: 2 [40448/46250]	Loss: 1.1169	LR: 0.100000
Training Epoch: 2 [40704/46250]	Loss: 1.0248	LR: 0.100000
Training Epoch: 2 [40960/46250]	Loss: 1.1527	LR: 0.100000
Training Epoch: 2 [41216/46250]	Loss: 1.1171	LR: 0.100000
Training Epoch: 2 [41472/46250]	Loss: 0.9970	LR: 0.100000
Training Epoch: 2 [41728/46250]	Loss: 0.9944	LR: 0.100000
Training Epoch: 2 [41984/46250]	Loss: 1.0653	LR: 0.100000
Training Epoch: 2 [42240/46250]	Loss: 1.1682	LR: 0.100000
Training Epoch: 2 [42496/46250]	Loss: 1.1533	LR: 0.100000
Training Epoch: 2 [42752/46250]	Loss: 0.9105	LR: 0.100000
Training Epoch: 2 [43008/46250]	Loss: 1.0928	LR: 0.100000
Training Epoch: 2 [43264/46250]	Loss: 1.0117	LR: 0.100000
Training Epoch: 2 [43520/46250]	Loss: 1.1158	LR: 0.100000
Training Epoch: 2 [43776/46250]	Loss: 1.0415	LR: 0.100000
Training Epoch: 2 [44032/46250]	Loss: 1.1196	LR: 0.100000
Training Epoch: 2 [44288/46250]	Loss: 1.0556	LR: 0.100000
Training Epoch: 2 [44544/46250]	Loss: 1.0478	LR: 0.100000
Training Epoch: 2 [44800/46250]	Loss: 1.1745	LR: 0.100000
Training Epoch: 2 [45056/46250]	Loss: 1.0287	LR: 0.100000
Training Epoch: 2 [45312/46250]	Loss: 1.0226	LR: 0.100000
Training Epoch: 2 [45568/46250]	Loss: 0.9825	LR: 0.100000
Training Epoch: 2 [45824/46250]	Loss: 1.0323	LR: 0.100000
Training Epoch: 2 [46080/46250]	Loss: 1.0178	LR: 0.100000
Training Epoch: 2 [46250/46250]	Loss: 1.0282	LR: 0.100000
Epoch 2 - Average Train Loss: 1.1787, Train Accuracy: 0.5734
Epoch 2 training time consumed: 25.39s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0048, Accuracy: 0.5915, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_21h_58m_05s/AllCNN-Cifar10-seed10-ret25-2-best.pth
Training Epoch: 3 [256/46250]	Loss: 1.0471	LR: 0.100000
Training Epoch: 3 [512/46250]	Loss: 1.0125	LR: 0.100000
Training Epoch: 3 [768/46250]	Loss: 1.1157	LR: 0.100000
Training Epoch: 3 [1024/46250]	Loss: 1.0171	LR: 0.100000
Training Epoch: 3 [1280/46250]	Loss: 1.0611	LR: 0.100000
Training Epoch: 3 [1536/46250]	Loss: 1.1488	LR: 0.100000
Training Epoch: 3 [1792/46250]	Loss: 1.0537	LR: 0.100000
Training Epoch: 3 [2048/46250]	Loss: 1.0511	LR: 0.100000
Training Epoch: 3 [2304/46250]	Loss: 0.9995	LR: 0.100000
Training Epoch: 3 [2560/46250]	Loss: 1.1172	LR: 0.100000
Training Epoch: 3 [2816/46250]	Loss: 1.0742	LR: 0.100000
Training Epoch: 3 [3072/46250]	Loss: 1.0464	LR: 0.100000
Training Epoch: 3 [3328/46250]	Loss: 0.9826	LR: 0.100000
Training Epoch: 3 [3584/46250]	Loss: 1.0971	LR: 0.100000
Training Epoch: 3 [3840/46250]	Loss: 0.9946	LR: 0.100000
Training Epoch: 3 [4096/46250]	Loss: 0.9733	LR: 0.100000
Training Epoch: 3 [4352/46250]	Loss: 0.9889	LR: 0.100000
Training Epoch: 3 [4608/46250]	Loss: 1.0765	LR: 0.100000
Training Epoch: 3 [4864/46250]	Loss: 1.0078	LR: 0.100000
Training Epoch: 3 [5120/46250]	Loss: 1.0139	LR: 0.100000
Training Epoch: 3 [5376/46250]	Loss: 0.9442	LR: 0.100000
Training Epoch: 3 [5632/46250]	Loss: 1.1090	LR: 0.100000
Training Epoch: 3 [5888/46250]	Loss: 1.0798	LR: 0.100000
Training Epoch: 3 [6144/46250]	Loss: 1.0428	LR: 0.100000
Training Epoch: 3 [6400/46250]	Loss: 0.9233	LR: 0.100000
Training Epoch: 3 [6656/46250]	Loss: 1.0286	LR: 0.100000
Training Epoch: 3 [6912/46250]	Loss: 1.0138	LR: 0.100000
Training Epoch: 3 [7168/46250]	Loss: 0.9820	LR: 0.100000
Training Epoch: 3 [7424/46250]	Loss: 1.0567	LR: 0.100000
Training Epoch: 3 [7680/46250]	Loss: 1.0118	LR: 0.100000
Training Epoch: 3 [7936/46250]	Loss: 1.1019	LR: 0.100000
Training Epoch: 3 [8192/46250]	Loss: 1.0599	LR: 0.100000
Training Epoch: 3 [8448/46250]	Loss: 1.1336	LR: 0.100000
Training Epoch: 3 [8704/46250]	Loss: 1.1506	LR: 0.100000
Training Epoch: 3 [8960/46250]	Loss: 1.1259	LR: 0.100000
Training Epoch: 3 [9216/46250]	Loss: 0.9635	LR: 0.100000
Training Epoch: 3 [9472/46250]	Loss: 1.0329	LR: 0.100000
Training Epoch: 3 [9728/46250]	Loss: 1.1006	LR: 0.100000
Training Epoch: 3 [9984/46250]	Loss: 1.2489	LR: 0.100000
Training Epoch: 3 [10240/46250]	Loss: 0.9039	LR: 0.100000
Training Epoch: 3 [10496/46250]	Loss: 0.9787	LR: 0.100000
Training Epoch: 3 [10752/46250]	Loss: 1.0992	LR: 0.100000
Training Epoch: 3 [11008/46250]	Loss: 0.9790	LR: 0.100000
Training Epoch: 3 [11264/46250]	Loss: 0.9443	LR: 0.100000
Training Epoch: 3 [11520/46250]	Loss: 1.0046	LR: 0.100000
Training Epoch: 3 [11776/46250]	Loss: 1.0553	LR: 0.100000
Training Epoch: 3 [12032/46250]	Loss: 0.9260	LR: 0.100000
Training Epoch: 3 [12288/46250]	Loss: 1.0551	LR: 0.100000
Training Epoch: 3 [12544/46250]	Loss: 1.0342	LR: 0.100000
Training Epoch: 3 [12800/46250]	Loss: 1.0816	LR: 0.100000
Training Epoch: 3 [13056/46250]	Loss: 1.0843	LR: 0.100000
Training Epoch: 3 [13312/46250]	Loss: 1.0165	LR: 0.100000
Training Epoch: 3 [13568/46250]	Loss: 1.1442	LR: 0.100000
Training Epoch: 3 [13824/46250]	Loss: 0.9738	LR: 0.100000
Training Epoch: 3 [14080/46250]	Loss: 1.0063	LR: 0.100000
Training Epoch: 3 [14336/46250]	Loss: 1.0377	LR: 0.100000
Training Epoch: 3 [14592/46250]	Loss: 1.0680	LR: 0.100000
Training Epoch: 3 [14848/46250]	Loss: 0.9578	LR: 0.100000
Training Epoch: 3 [15104/46250]	Loss: 1.0633	LR: 0.100000
Training Epoch: 3 [15360/46250]	Loss: 0.9224	LR: 0.100000
Training Epoch: 3 [15616/46250]	Loss: 1.0834	LR: 0.100000
Training Epoch: 3 [15872/46250]	Loss: 0.9178	LR: 0.100000
Training Epoch: 3 [16128/46250]	Loss: 1.1294	LR: 0.100000
Training Epoch: 3 [16384/46250]	Loss: 0.8300	LR: 0.100000
Training Epoch: 3 [16640/46250]	Loss: 1.0845	LR: 0.100000
Training Epoch: 3 [16896/46250]	Loss: 0.9667	LR: 0.100000
Training Epoch: 3 [17152/46250]	Loss: 0.9287	LR: 0.100000
Training Epoch: 3 [17408/46250]	Loss: 1.0877	LR: 0.100000
Training Epoch: 3 [17664/46250]	Loss: 0.9101	LR: 0.100000
Training Epoch: 3 [17920/46250]	Loss: 1.0659	LR: 0.100000
Training Epoch: 3 [18176/46250]	Loss: 1.0612	LR: 0.100000
Training Epoch: 3 [18432/46250]	Loss: 1.0359	LR: 0.100000
Training Epoch: 3 [18688/46250]	Loss: 1.0382	LR: 0.100000
Training Epoch: 3 [18944/46250]	Loss: 0.9437	LR: 0.100000
Training Epoch: 3 [19200/46250]	Loss: 0.8824	LR: 0.100000
Training Epoch: 3 [19456/46250]	Loss: 1.0821	LR: 0.100000
Training Epoch: 3 [19712/46250]	Loss: 0.9591	LR: 0.100000
Training Epoch: 3 [19968/46250]	Loss: 0.9334	LR: 0.100000
Training Epoch: 3 [20224/46250]	Loss: 0.9449	LR: 0.100000
Training Epoch: 3 [20480/46250]	Loss: 0.8651	LR: 0.100000
Training Epoch: 3 [20736/46250]	Loss: 0.9616	LR: 0.100000
Training Epoch: 3 [20992/46250]	Loss: 1.0530	LR: 0.100000
Training Epoch: 3 [21248/46250]	Loss: 0.9157	LR: 0.100000
Training Epoch: 3 [21504/46250]	Loss: 0.8838	LR: 0.100000
Training Epoch: 3 [21760/46250]	Loss: 0.9036	LR: 0.100000
Training Epoch: 3 [22016/46250]	Loss: 0.9233	LR: 0.100000
Training Epoch: 3 [22272/46250]	Loss: 1.0426	LR: 0.100000
Training Epoch: 3 [22528/46250]	Loss: 0.9559	LR: 0.100000
Training Epoch: 3 [22784/46250]	Loss: 1.0060	LR: 0.100000
Training Epoch: 3 [23040/46250]	Loss: 0.9833	LR: 0.100000
Training Epoch: 3 [23296/46250]	Loss: 1.0188	LR: 0.100000
Training Epoch: 3 [23552/46250]	Loss: 0.9023	LR: 0.100000
Training Epoch: 3 [23808/46250]	Loss: 0.9713	LR: 0.100000
Training Epoch: 3 [24064/46250]	Loss: 0.9752	LR: 0.100000
Training Epoch: 3 [24320/46250]	Loss: 1.0259	LR: 0.100000
Training Epoch: 3 [24576/46250]	Loss: 0.8329	LR: 0.100000
Training Epoch: 3 [24832/46250]	Loss: 0.9350	LR: 0.100000
Training Epoch: 3 [25088/46250]	Loss: 0.8102	LR: 0.100000
Training Epoch: 3 [25344/46250]	Loss: 0.8518	LR: 0.100000
Training Epoch: 3 [25600/46250]	Loss: 0.9203	LR: 0.100000
Training Epoch: 3 [25856/46250]	Loss: 1.0003	LR: 0.100000
Training Epoch: 3 [26112/46250]	Loss: 1.0284	LR: 0.100000
Training Epoch: 3 [26368/46250]	Loss: 0.8912	LR: 0.100000
Training Epoch: 3 [26624/46250]	Loss: 0.7862	LR: 0.100000
Training Epoch: 3 [26880/46250]	Loss: 0.8218	LR: 0.100000
Training Epoch: 3 [27136/46250]	Loss: 0.9395	LR: 0.100000
Training Epoch: 3 [27392/46250]	Loss: 0.8631	LR: 0.100000
Training Epoch: 3 [27648/46250]	Loss: 0.9662	LR: 0.100000
Training Epoch: 3 [27904/46250]	Loss: 0.8866	LR: 0.100000
Training Epoch: 3 [28160/46250]	Loss: 0.9774	LR: 0.100000
Training Epoch: 3 [28416/46250]	Loss: 0.8384	LR: 0.100000
Training Epoch: 3 [28672/46250]	Loss: 0.9092	LR: 0.100000
Training Epoch: 3 [28928/46250]	Loss: 1.0842	LR: 0.100000
Training Epoch: 3 [29184/46250]	Loss: 1.1483	LR: 0.100000
Training Epoch: 3 [29440/46250]	Loss: 0.9603	LR: 0.100000
Training Epoch: 3 [29696/46250]	Loss: 0.8326	LR: 0.100000
Training Epoch: 3 [29952/46250]	Loss: 0.9964	LR: 0.100000
Training Epoch: 3 [30208/46250]	Loss: 1.1817	LR: 0.100000
Training Epoch: 3 [30464/46250]	Loss: 0.9901	LR: 0.100000
Training Epoch: 3 [30720/46250]	Loss: 0.8953	LR: 0.100000
Training Epoch: 3 [30976/46250]	Loss: 0.9804	LR: 0.100000
Training Epoch: 3 [31232/46250]	Loss: 1.0087	LR: 0.100000
Training Epoch: 3 [31488/46250]	Loss: 1.0070	LR: 0.100000
Training Epoch: 3 [31744/46250]	Loss: 0.9045	LR: 0.100000
Training Epoch: 3 [32000/46250]	Loss: 0.9093	LR: 0.100000
Training Epoch: 3 [32256/46250]	Loss: 0.8944	LR: 0.100000
Training Epoch: 3 [32512/46250]	Loss: 1.0166	LR: 0.100000
Training Epoch: 3 [32768/46250]	Loss: 0.8894	LR: 0.100000
Training Epoch: 3 [33024/46250]	Loss: 0.9709	LR: 0.100000
Training Epoch: 3 [33280/46250]	Loss: 0.9297	LR: 0.100000
Training Epoch: 3 [33536/46250]	Loss: 1.0037	LR: 0.100000
Training Epoch: 3 [33792/46250]	Loss: 0.8521	LR: 0.100000
Training Epoch: 3 [34048/46250]	Loss: 0.9455	LR: 0.100000
Training Epoch: 3 [34304/46250]	Loss: 0.8806	LR: 0.100000
Training Epoch: 3 [34560/46250]	Loss: 1.0545	LR: 0.100000
Training Epoch: 3 [34816/46250]	Loss: 0.9517	LR: 0.100000
Training Epoch: 3 [35072/46250]	Loss: 1.0437	LR: 0.100000
Training Epoch: 3 [35328/46250]	Loss: 0.8373	LR: 0.100000
Training Epoch: 3 [35584/46250]	Loss: 0.8595	LR: 0.100000
Training Epoch: 3 [35840/46250]	Loss: 0.9022	LR: 0.100000
Training Epoch: 3 [36096/46250]	Loss: 0.9345	LR: 0.100000
Training Epoch: 3 [36352/46250]	Loss: 0.9617	LR: 0.100000
Training Epoch: 3 [36608/46250]	Loss: 0.9466	LR: 0.100000
Training Epoch: 3 [36864/46250]	Loss: 0.9219	LR: 0.100000
Training Epoch: 3 [37120/46250]	Loss: 0.9209	LR: 0.100000
Training Epoch: 3 [37376/46250]	Loss: 0.8911	LR: 0.100000
Training Epoch: 3 [37632/46250]	Loss: 0.8899	LR: 0.100000
Training Epoch: 3 [37888/46250]	Loss: 0.8153	LR: 0.100000
Training Epoch: 3 [38144/46250]	Loss: 0.7661	LR: 0.100000
Training Epoch: 3 [38400/46250]	Loss: 0.9885	LR: 0.100000
Training Epoch: 3 [38656/46250]	Loss: 0.9280	LR: 0.100000
Training Epoch: 3 [38912/46250]	Loss: 0.8253	LR: 0.100000
Training Epoch: 3 [39168/46250]	Loss: 1.0112	LR: 0.100000
Training Epoch: 3 [39424/46250]	Loss: 1.0393	LR: 0.100000
Training Epoch: 3 [39680/46250]	Loss: 0.9433	LR: 0.100000
Training Epoch: 3 [39936/46250]	Loss: 0.9828	LR: 0.100000
Training Epoch: 3 [40192/46250]	Loss: 0.9375	LR: 0.100000
Training Epoch: 3 [40448/46250]	Loss: 0.9852	LR: 0.100000
Training Epoch: 3 [40704/46250]	Loss: 0.8689	LR: 0.100000
Training Epoch: 3 [40960/46250]	Loss: 0.9906	LR: 0.100000
Training Epoch: 3 [41216/46250]	Loss: 0.8675	LR: 0.100000
Training Epoch: 3 [41472/46250]	Loss: 1.0328	LR: 0.100000
Training Epoch: 3 [41728/46250]	Loss: 0.9065	LR: 0.100000
Training Epoch: 3 [41984/46250]	Loss: 1.0897	LR: 0.100000
Training Epoch: 3 [42240/46250]	Loss: 0.8903	LR: 0.100000
Training Epoch: 3 [42496/46250]	Loss: 0.9556	LR: 0.100000
Training Epoch: 3 [42752/46250]	Loss: 0.8347	LR: 0.100000
Training Epoch: 3 [43008/46250]	Loss: 0.8875	LR: 0.100000
Training Epoch: 3 [43264/46250]	Loss: 0.9082	LR: 0.100000
Training Epoch: 3 [43520/46250]	Loss: 0.9596	LR: 0.100000
Training Epoch: 3 [43776/46250]	Loss: 1.0171	LR: 0.100000
Training Epoch: 3 [44032/46250]	Loss: 0.9635	LR: 0.100000
Training Epoch: 3 [44288/46250]	Loss: 1.0714	LR: 0.100000
Training Epoch: 3 [44544/46250]	Loss: 1.1120	LR: 0.100000
Training Epoch: 3 [44800/46250]	Loss: 0.9618	LR: 0.100000
Training Epoch: 3 [45056/46250]	Loss: 0.8745	LR: 0.100000
Training Epoch: 3 [45312/46250]	Loss: 0.8364	LR: 0.100000
Training Epoch: 3 [45568/46250]	Loss: 0.9313	LR: 0.100000
Training Epoch: 3 [45824/46250]	Loss: 1.0433	LR: 0.100000
Training Epoch: 3 [46080/46250]	Loss: 0.9281	LR: 0.100000
Training Epoch: 3 [46250/46250]	Loss: 0.8914	LR: 0.100000
Epoch 3 - Average Train Loss: 0.9797, Train Accuracy: 0.6515
Epoch 3 training time consumed: 25.37s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0051, Accuracy: 0.5789, Time consumed:0.95s
Training Epoch: 4 [256/46250]	Loss: 0.9567	LR: 0.100000
Training Epoch: 4 [512/46250]	Loss: 0.9056	LR: 0.100000
Training Epoch: 4 [768/46250]	Loss: 0.9165	LR: 0.100000
Training Epoch: 4 [1024/46250]	Loss: 0.9995	LR: 0.100000
Training Epoch: 4 [1280/46250]	Loss: 0.9074	LR: 0.100000
Training Epoch: 4 [1536/46250]	Loss: 0.8490	LR: 0.100000
Training Epoch: 4 [1792/46250]	Loss: 0.8810	LR: 0.100000
Training Epoch: 4 [2048/46250]	Loss: 0.8493	LR: 0.100000
Training Epoch: 4 [2304/46250]	Loss: 0.8125	LR: 0.100000
Training Epoch: 4 [2560/46250]	Loss: 0.8627	LR: 0.100000
Training Epoch: 4 [2816/46250]	Loss: 0.8325	LR: 0.100000
Training Epoch: 4 [3072/46250]	Loss: 0.8589	LR: 0.100000
Training Epoch: 4 [3328/46250]	Loss: 0.9969	LR: 0.100000
Training Epoch: 4 [3584/46250]	Loss: 0.8692	LR: 0.100000
Training Epoch: 4 [3840/46250]	Loss: 0.8811	LR: 0.100000
Training Epoch: 4 [4096/46250]	Loss: 1.0448	LR: 0.100000
Training Epoch: 4 [4352/46250]	Loss: 0.7994	LR: 0.100000
Training Epoch: 4 [4608/46250]	Loss: 1.0481	LR: 0.100000
Training Epoch: 4 [4864/46250]	Loss: 0.9512	LR: 0.100000
Training Epoch: 4 [5120/46250]	Loss: 0.9849	LR: 0.100000
Training Epoch: 4 [5376/46250]	Loss: 0.8208	LR: 0.100000
Training Epoch: 4 [5632/46250]	Loss: 0.8800	LR: 0.100000
Training Epoch: 4 [5888/46250]	Loss: 0.8667	LR: 0.100000
Training Epoch: 4 [6144/46250]	Loss: 0.9306	LR: 0.100000
Training Epoch: 4 [6400/46250]	Loss: 0.8014	LR: 0.100000
Training Epoch: 4 [6656/46250]	Loss: 0.8618	LR: 0.100000
Training Epoch: 4 [6912/46250]	Loss: 0.9397	LR: 0.100000
Training Epoch: 4 [7168/46250]	Loss: 0.9691	LR: 0.100000
Training Epoch: 4 [7424/46250]	Loss: 0.8670	LR: 0.100000
Training Epoch: 4 [7680/46250]	Loss: 0.8286	LR: 0.100000
Training Epoch: 4 [7936/46250]	Loss: 0.7768	LR: 0.100000
Training Epoch: 4 [8192/46250]	Loss: 0.9189	LR: 0.100000
Training Epoch: 4 [8448/46250]	Loss: 0.9530	LR: 0.100000
Training Epoch: 4 [8704/46250]	Loss: 0.9314	LR: 0.100000
Training Epoch: 4 [8960/46250]	Loss: 0.8115	LR: 0.100000
Training Epoch: 4 [9216/46250]	Loss: 0.9024	LR: 0.100000
Training Epoch: 4 [9472/46250]	Loss: 0.7762	LR: 0.100000
Training Epoch: 4 [9728/46250]	Loss: 0.7922	LR: 0.100000
Training Epoch: 4 [9984/46250]	Loss: 0.8620	LR: 0.100000
Training Epoch: 4 [10240/46250]	Loss: 0.8962	LR: 0.100000
Training Epoch: 4 [10496/46250]	Loss: 0.8281	LR: 0.100000
Training Epoch: 4 [10752/46250]	Loss: 0.8541	LR: 0.100000
Training Epoch: 4 [11008/46250]	Loss: 0.8321	LR: 0.100000
Training Epoch: 4 [11264/46250]	Loss: 0.8253	LR: 0.100000
Training Epoch: 4 [11520/46250]	Loss: 0.9606	LR: 0.100000
Training Epoch: 4 [11776/46250]	Loss: 0.8449	LR: 0.100000
Training Epoch: 4 [12032/46250]	Loss: 0.9120	LR: 0.100000
Training Epoch: 4 [12288/46250]	Loss: 0.8563	LR: 0.100000
Training Epoch: 4 [12544/46250]	Loss: 0.9176	LR: 0.100000
Training Epoch: 4 [12800/46250]	Loss: 0.9655	LR: 0.100000
Training Epoch: 4 [13056/46250]	Loss: 0.7449	LR: 0.100000
Training Epoch: 4 [13312/46250]	Loss: 0.9053	LR: 0.100000
Training Epoch: 4 [13568/46250]	Loss: 0.9324	LR: 0.100000
Training Epoch: 4 [13824/46250]	Loss: 0.8598	LR: 0.100000
Training Epoch: 4 [14080/46250]	Loss: 0.8895	LR: 0.100000
Training Epoch: 4 [14336/46250]	Loss: 0.8369	LR: 0.100000
Training Epoch: 4 [14592/46250]	Loss: 0.8712	LR: 0.100000
Training Epoch: 4 [14848/46250]	Loss: 1.0088	LR: 0.100000
Training Epoch: 4 [15104/46250]	Loss: 0.8049	LR: 0.100000
Training Epoch: 4 [15360/46250]	Loss: 0.9491	LR: 0.100000
Training Epoch: 4 [15616/46250]	Loss: 0.9329	LR: 0.100000
Training Epoch: 4 [15872/46250]	Loss: 0.7921	LR: 0.100000
Training Epoch: 4 [16128/46250]	Loss: 0.8614	LR: 0.100000
Training Epoch: 4 [16384/46250]	Loss: 0.9763	LR: 0.100000
Training Epoch: 4 [16640/46250]	Loss: 0.8558	LR: 0.100000
Training Epoch: 4 [16896/46250]	Loss: 0.8252	LR: 0.100000
Training Epoch: 4 [17152/46250]	Loss: 0.8573	LR: 0.100000
Training Epoch: 4 [17408/46250]	Loss: 0.9049	LR: 0.100000
Training Epoch: 4 [17664/46250]	Loss: 0.8612	LR: 0.100000
Training Epoch: 4 [17920/46250]	Loss: 0.8073	LR: 0.100000
Training Epoch: 4 [18176/46250]	Loss: 0.9056	LR: 0.100000
Training Epoch: 4 [18432/46250]	Loss: 0.7602	LR: 0.100000
Training Epoch: 4 [18688/46250]	Loss: 0.7984	LR: 0.100000
Training Epoch: 4 [18944/46250]	Loss: 0.8777	LR: 0.100000
Training Epoch: 4 [19200/46250]	Loss: 0.7575	LR: 0.100000
Training Epoch: 4 [19456/46250]	Loss: 0.9089	LR: 0.100000
Training Epoch: 4 [19712/46250]	Loss: 0.8788	LR: 0.100000
Training Epoch: 4 [19968/46250]	Loss: 0.8965	LR: 0.100000
Training Epoch: 4 [20224/46250]	Loss: 0.8956	LR: 0.100000
Training Epoch: 4 [20480/46250]	Loss: 0.7761	LR: 0.100000
Training Epoch: 4 [20736/46250]	Loss: 0.8096	LR: 0.100000
Training Epoch: 4 [20992/46250]	Loss: 0.8651	LR: 0.100000
Training Epoch: 4 [21248/46250]	Loss: 0.9950	LR: 0.100000
Training Epoch: 4 [21504/46250]	Loss: 0.9057	LR: 0.100000
Training Epoch: 4 [21760/46250]	Loss: 0.8799	LR: 0.100000
Training Epoch: 4 [22016/46250]	Loss: 0.8520	LR: 0.100000
Training Epoch: 4 [22272/46250]	Loss: 0.8060	LR: 0.100000
Training Epoch: 4 [22528/46250]	Loss: 0.8438	LR: 0.100000
Training Epoch: 4 [22784/46250]	Loss: 0.9062	LR: 0.100000
Training Epoch: 4 [23040/46250]	Loss: 0.8587	LR: 0.100000
Training Epoch: 4 [23296/46250]	Loss: 0.8899	LR: 0.100000
Training Epoch: 4 [23552/46250]	Loss: 0.8702	LR: 0.100000
Training Epoch: 4 [23808/46250]	Loss: 0.8461	LR: 0.100000
Training Epoch: 4 [24064/46250]	Loss: 0.7612	LR: 0.100000
Training Epoch: 4 [24320/46250]	Loss: 0.8558	LR: 0.100000
Training Epoch: 4 [24576/46250]	Loss: 0.8438	LR: 0.100000
Training Epoch: 4 [24832/46250]	Loss: 0.8969	LR: 0.100000
Training Epoch: 4 [25088/46250]	Loss: 0.7953	LR: 0.100000
Training Epoch: 4 [25344/46250]	Loss: 0.7459	LR: 0.100000
Training Epoch: 4 [25600/46250]	Loss: 0.8802	LR: 0.100000
Training Epoch: 4 [25856/46250]	Loss: 0.7810	LR: 0.100000
Training Epoch: 4 [26112/46250]	Loss: 0.8187	LR: 0.100000
Training Epoch: 4 [26368/46250]	Loss: 0.8526	LR: 0.100000
Training Epoch: 4 [26624/46250]	Loss: 0.8474	LR: 0.100000
Training Epoch: 4 [26880/46250]	Loss: 0.8698	LR: 0.100000
Training Epoch: 4 [27136/46250]	Loss: 0.8774	LR: 0.100000
Training Epoch: 4 [27392/46250]	Loss: 0.7972	LR: 0.100000
Training Epoch: 4 [27648/46250]	Loss: 0.8961	LR: 0.100000
Training Epoch: 4 [27904/46250]	Loss: 0.7429	LR: 0.100000
Training Epoch: 4 [28160/46250]	Loss: 0.7489	LR: 0.100000
Training Epoch: 4 [28416/46250]	Loss: 0.9064	LR: 0.100000
Training Epoch: 4 [28672/46250]	Loss: 0.7577	LR: 0.100000
Training Epoch: 4 [28928/46250]	Loss: 0.9283	LR: 0.100000
Training Epoch: 4 [29184/46250]	Loss: 0.8301	LR: 0.100000
Training Epoch: 4 [29440/46250]	Loss: 0.9911	LR: 0.100000
Training Epoch: 4 [29696/46250]	Loss: 0.7894	LR: 0.100000
Training Epoch: 4 [29952/46250]	Loss: 0.8417	LR: 0.100000
Training Epoch: 4 [30208/46250]	Loss: 0.9648	LR: 0.100000
Training Epoch: 4 [30464/46250]	Loss: 0.8978	LR: 0.100000
Training Epoch: 4 [30720/46250]	Loss: 0.9501	LR: 0.100000
Training Epoch: 4 [30976/46250]	Loss: 0.7565	LR: 0.100000
Training Epoch: 4 [31232/46250]	Loss: 0.8064	LR: 0.100000
Training Epoch: 4 [31488/46250]	Loss: 0.9392	LR: 0.100000
Training Epoch: 4 [31744/46250]	Loss: 0.9365	LR: 0.100000
Training Epoch: 4 [32000/46250]	Loss: 0.8962	LR: 0.100000
Training Epoch: 4 [32256/46250]	Loss: 0.8332	LR: 0.100000
Training Epoch: 4 [32512/46250]	Loss: 0.8025	LR: 0.100000
Training Epoch: 4 [32768/46250]	Loss: 0.8985	LR: 0.100000
Training Epoch: 4 [33024/46250]	Loss: 0.8318	LR: 0.100000
Training Epoch: 4 [33280/46250]	Loss: 0.8565	LR: 0.100000
Training Epoch: 4 [33536/46250]	Loss: 0.8483	LR: 0.100000
Training Epoch: 4 [33792/46250]	Loss: 0.9775	LR: 0.100000
Training Epoch: 4 [34048/46250]	Loss: 0.7414	LR: 0.100000
Training Epoch: 4 [34304/46250]	Loss: 0.8756	LR: 0.100000
Training Epoch: 4 [34560/46250]	Loss: 0.8545	LR: 0.100000
Training Epoch: 4 [34816/46250]	Loss: 0.8687	LR: 0.100000
Training Epoch: 4 [35072/46250]	Loss: 0.7531	LR: 0.100000
Training Epoch: 4 [35328/46250]	Loss: 0.8155	LR: 0.100000
Training Epoch: 4 [35584/46250]	Loss: 0.7172	LR: 0.100000
Training Epoch: 4 [35840/46250]	Loss: 0.8249	LR: 0.100000
Training Epoch: 4 [36096/46250]	Loss: 0.8295	LR: 0.100000
Training Epoch: 4 [36352/46250]	Loss: 0.7828	LR: 0.100000
Training Epoch: 4 [36608/46250]	Loss: 0.7501	LR: 0.100000
Training Epoch: 4 [36864/46250]	Loss: 0.8993	LR: 0.100000
Training Epoch: 4 [37120/46250]	Loss: 0.8981	LR: 0.100000
Training Epoch: 4 [37376/46250]	Loss: 0.9366	LR: 0.100000
Training Epoch: 4 [37632/46250]	Loss: 0.7102	LR: 0.100000
Training Epoch: 4 [37888/46250]	Loss: 0.7472	LR: 0.100000
Training Epoch: 4 [38144/46250]	Loss: 0.8319	LR: 0.100000
Training Epoch: 4 [38400/46250]	Loss: 0.6794	LR: 0.100000
Training Epoch: 4 [38656/46250]	Loss: 0.8653	LR: 0.100000
Training Epoch: 4 [38912/46250]	Loss: 0.8015	LR: 0.100000
Training Epoch: 4 [39168/46250]	Loss: 0.8677	LR: 0.100000
Training Epoch: 4 [39424/46250]	Loss: 0.8434	LR: 0.100000
Training Epoch: 4 [39680/46250]	Loss: 0.7810	LR: 0.100000
Training Epoch: 4 [39936/46250]	Loss: 0.7091	LR: 0.100000
Training Epoch: 4 [40192/46250]	Loss: 0.7492	LR: 0.100000
Training Epoch: 4 [40448/46250]	Loss: 0.7867	LR: 0.100000
Training Epoch: 4 [40704/46250]	Loss: 0.8576	LR: 0.100000
Training Epoch: 4 [40960/46250]	Loss: 0.7282	LR: 0.100000
Training Epoch: 4 [41216/46250]	Loss: 0.7111	LR: 0.100000
Training Epoch: 4 [41472/46250]	Loss: 0.8477	LR: 0.100000
Training Epoch: 4 [41728/46250]	Loss: 0.8120	LR: 0.100000
Training Epoch: 4 [41984/46250]	Loss: 0.9158	LR: 0.100000
Training Epoch: 4 [42240/46250]	Loss: 0.7618	LR: 0.100000
Training Epoch: 4 [42496/46250]	Loss: 0.8409	LR: 0.100000
Training Epoch: 4 [42752/46250]	Loss: 0.7440	LR: 0.100000
Training Epoch: 4 [43008/46250]	Loss: 0.7512	LR: 0.100000
Training Epoch: 4 [43264/46250]	Loss: 0.7832	LR: 0.100000
Training Epoch: 4 [43520/46250]	Loss: 0.8374	LR: 0.100000
Training Epoch: 4 [43776/46250]	Loss: 0.8262	LR: 0.100000
Training Epoch: 4 [44032/46250]	Loss: 0.7961	LR: 0.100000
Training Epoch: 4 [44288/46250]	Loss: 0.7470	LR: 0.100000
Training Epoch: 4 [44544/46250]	Loss: 0.8573	LR: 0.100000
Training Epoch: 4 [44800/46250]	Loss: 0.8116	LR: 0.100000
Training Epoch: 4 [45056/46250]	Loss: 0.7964	LR: 0.100000
Training Epoch: 4 [45312/46250]	Loss: 0.7690	LR: 0.100000
Training Epoch: 4 [45568/46250]	Loss: 0.8199	LR: 0.100000
Training Epoch: 4 [45824/46250]	Loss: 0.7138	LR: 0.100000
Training Epoch: 4 [46080/46250]	Loss: 0.7744	LR: 0.100000
Training Epoch: 4 [46250/46250]	Loss: 0.7708	LR: 0.100000
Epoch 4 - Average Train Loss: 0.8515, Train Accuracy: 0.6997
Epoch 4 training time consumed: 25.34s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0035, Accuracy: 0.7038, Time consumed:0.92s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_21h_58m_05s/AllCNN-Cifar10-seed10-ret25-4-best.pth
Training Epoch: 5 [256/46250]	Loss: 0.7629	LR: 0.100000
Training Epoch: 5 [512/46250]	Loss: 0.8005	LR: 0.100000
Training Epoch: 5 [768/46250]	Loss: 0.8089	LR: 0.100000
Training Epoch: 5 [1024/46250]	Loss: 0.8107	LR: 0.100000
Training Epoch: 5 [1280/46250]	Loss: 0.7656	LR: 0.100000
Training Epoch: 5 [1536/46250]	Loss: 0.8756	LR: 0.100000
Training Epoch: 5 [1792/46250]	Loss: 0.8133	LR: 0.100000
Training Epoch: 5 [2048/46250]	Loss: 0.9823	LR: 0.100000
Training Epoch: 5 [2304/46250]	Loss: 0.8222	LR: 0.100000
Training Epoch: 5 [2560/46250]	Loss: 0.7126	LR: 0.100000
Training Epoch: 5 [2816/46250]	Loss: 0.7925	LR: 0.100000
Training Epoch: 5 [3072/46250]	Loss: 0.8727	LR: 0.100000
Training Epoch: 5 [3328/46250]	Loss: 0.7931	LR: 0.100000
Training Epoch: 5 [3584/46250]	Loss: 0.8294	LR: 0.100000
Training Epoch: 5 [3840/46250]	Loss: 0.7709	LR: 0.100000
Training Epoch: 5 [4096/46250]	Loss: 0.9284	LR: 0.100000
Training Epoch: 5 [4352/46250]	Loss: 0.7316	LR: 0.100000
Training Epoch: 5 [4608/46250]	Loss: 0.7274	LR: 0.100000
Training Epoch: 5 [4864/46250]	Loss: 0.7576	LR: 0.100000
Training Epoch: 5 [5120/46250]	Loss: 0.8752	LR: 0.100000
Training Epoch: 5 [5376/46250]	Loss: 0.7383	LR: 0.100000
Training Epoch: 5 [5632/46250]	Loss: 0.8416	LR: 0.100000
Training Epoch: 5 [5888/46250]	Loss: 0.8158	LR: 0.100000
Training Epoch: 5 [6144/46250]	Loss: 0.8476	LR: 0.100000
Training Epoch: 5 [6400/46250]	Loss: 0.8093	LR: 0.100000
Training Epoch: 5 [6656/46250]	Loss: 0.8428	LR: 0.100000
Training Epoch: 5 [6912/46250]	Loss: 0.7259	LR: 0.100000
Training Epoch: 5 [7168/46250]	Loss: 0.7567	LR: 0.100000
Training Epoch: 5 [7424/46250]	Loss: 0.7750	LR: 0.100000
Training Epoch: 5 [7680/46250]	Loss: 0.7570	LR: 0.100000
Training Epoch: 5 [7936/46250]	Loss: 0.7617	LR: 0.100000
Training Epoch: 5 [8192/46250]	Loss: 0.8437	LR: 0.100000
Training Epoch: 5 [8448/46250]	Loss: 0.7934	LR: 0.100000
Training Epoch: 5 [8704/46250]	Loss: 0.7313	LR: 0.100000
Training Epoch: 5 [8960/46250]	Loss: 0.7503	LR: 0.100000
Training Epoch: 5 [9216/46250]	Loss: 0.7549	LR: 0.100000
Training Epoch: 5 [9472/46250]	Loss: 0.7978	LR: 0.100000
Training Epoch: 5 [9728/46250]	Loss: 0.7569	LR: 0.100000
Training Epoch: 5 [9984/46250]	Loss: 0.7493	LR: 0.100000
Training Epoch: 5 [10240/46250]	Loss: 0.7601	LR: 0.100000
Training Epoch: 5 [10496/46250]	Loss: 0.7188	LR: 0.100000
Training Epoch: 5 [10752/46250]	Loss: 0.7575	LR: 0.100000
Training Epoch: 5 [11008/46250]	Loss: 0.7414	LR: 0.100000
Training Epoch: 5 [11264/46250]	Loss: 0.8250	LR: 0.100000
Training Epoch: 5 [11520/46250]	Loss: 0.8220	LR: 0.100000
Training Epoch: 5 [11776/46250]	Loss: 0.7228	LR: 0.100000
Training Epoch: 5 [12032/46250]	Loss: 0.6332	LR: 0.100000
Training Epoch: 5 [12288/46250]	Loss: 0.7655	LR: 0.100000
Training Epoch: 5 [12544/46250]	Loss: 0.7719	LR: 0.100000
Training Epoch: 5 [12800/46250]	Loss: 0.8603	LR: 0.100000
Training Epoch: 5 [13056/46250]	Loss: 0.6794	LR: 0.100000
Training Epoch: 5 [13312/46250]	Loss: 0.8281	LR: 0.100000
Training Epoch: 5 [13568/46250]	Loss: 0.7673	LR: 0.100000
Training Epoch: 5 [13824/46250]	Loss: 0.9483	LR: 0.100000
Training Epoch: 5 [14080/46250]	Loss: 0.8084	LR: 0.100000
Training Epoch: 5 [14336/46250]	Loss: 0.7623	LR: 0.100000
Training Epoch: 5 [14592/46250]	Loss: 0.8705	LR: 0.100000
Training Epoch: 5 [14848/46250]	Loss: 0.7145	LR: 0.100000
Training Epoch: 5 [15104/46250]	Loss: 0.8244	LR: 0.100000
Training Epoch: 5 [15360/46250]	Loss: 0.7248	LR: 0.100000
Training Epoch: 5 [15616/46250]	Loss: 0.8445	LR: 0.100000
Training Epoch: 5 [15872/46250]	Loss: 0.8290	LR: 0.100000
Training Epoch: 5 [16128/46250]	Loss: 0.8328	LR: 0.100000
Training Epoch: 5 [16384/46250]	Loss: 0.8811	LR: 0.100000
Training Epoch: 5 [16640/46250]	Loss: 0.8207	LR: 0.100000
Training Epoch: 5 [16896/46250]	Loss: 0.7032	LR: 0.100000
Training Epoch: 5 [17152/46250]	Loss: 0.8058	LR: 0.100000
Training Epoch: 5 [17408/46250]	Loss: 0.7507	LR: 0.100000
Training Epoch: 5 [17664/46250]	Loss: 0.8618	LR: 0.100000
Training Epoch: 5 [17920/46250]	Loss: 0.7442	LR: 0.100000
Training Epoch: 5 [18176/46250]	Loss: 0.7117	LR: 0.100000
Training Epoch: 5 [18432/46250]	Loss: 0.6730	LR: 0.100000
Training Epoch: 5 [18688/46250]	Loss: 0.6710	LR: 0.100000
Training Epoch: 5 [18944/46250]	Loss: 0.6587	LR: 0.100000
Training Epoch: 5 [19200/46250]	Loss: 0.8075	LR: 0.100000
Training Epoch: 5 [19456/46250]	Loss: 0.6596	LR: 0.100000
Training Epoch: 5 [19712/46250]	Loss: 0.7967	LR: 0.100000
Training Epoch: 5 [19968/46250]	Loss: 0.7013	LR: 0.100000
Training Epoch: 5 [20224/46250]	Loss: 0.7440	LR: 0.100000
Training Epoch: 5 [20480/46250]	Loss: 0.7566	LR: 0.100000
Training Epoch: 5 [20736/46250]	Loss: 0.6644	LR: 0.100000
Training Epoch: 5 [20992/46250]	Loss: 0.7485	LR: 0.100000
Training Epoch: 5 [21248/46250]	Loss: 0.7692	LR: 0.100000
Training Epoch: 5 [21504/46250]	Loss: 0.7982	LR: 0.100000
Training Epoch: 5 [21760/46250]	Loss: 0.7122	LR: 0.100000
Training Epoch: 5 [22016/46250]	Loss: 0.7407	LR: 0.100000
Training Epoch: 5 [22272/46250]	Loss: 0.7714	LR: 0.100000
Training Epoch: 5 [22528/46250]	Loss: 0.7865	LR: 0.100000
Training Epoch: 5 [22784/46250]	Loss: 0.8064	LR: 0.100000
Training Epoch: 5 [23040/46250]	Loss: 0.7219	LR: 0.100000
Training Epoch: 5 [23296/46250]	Loss: 0.6876	LR: 0.100000
Training Epoch: 5 [23552/46250]	Loss: 0.7385	LR: 0.100000
Training Epoch: 5 [23808/46250]	Loss: 0.6899	LR: 0.100000
Training Epoch: 5 [24064/46250]	Loss: 0.7910	LR: 0.100000
Training Epoch: 5 [24320/46250]	Loss: 0.6935	LR: 0.100000
Training Epoch: 5 [24576/46250]	Loss: 0.7515	LR: 0.100000
Training Epoch: 5 [24832/46250]	Loss: 0.7959	LR: 0.100000
Training Epoch: 5 [25088/46250]	Loss: 0.7276	LR: 0.100000
Training Epoch: 5 [25344/46250]	Loss: 0.8292	LR: 0.100000
Training Epoch: 5 [25600/46250]	Loss: 0.8374	LR: 0.100000
Training Epoch: 5 [25856/46250]	Loss: 0.6984	LR: 0.100000
Training Epoch: 5 [26112/46250]	Loss: 0.6936	LR: 0.100000
Training Epoch: 5 [26368/46250]	Loss: 0.7280	LR: 0.100000
Training Epoch: 5 [26624/46250]	Loss: 0.7654	LR: 0.100000
Training Epoch: 5 [26880/46250]	Loss: 0.7379	LR: 0.100000
Training Epoch: 5 [27136/46250]	Loss: 0.7420	LR: 0.100000
Training Epoch: 5 [27392/46250]	Loss: 0.7424	LR: 0.100000
Training Epoch: 5 [27648/46250]	Loss: 0.6684	LR: 0.100000
Training Epoch: 5 [27904/46250]	Loss: 0.7955	LR: 0.100000
Training Epoch: 5 [28160/46250]	Loss: 0.8303	LR: 0.100000
Training Epoch: 5 [28416/46250]	Loss: 0.6847	LR: 0.100000
Training Epoch: 5 [28672/46250]	Loss: 0.6957	LR: 0.100000
Training Epoch: 5 [28928/46250]	Loss: 0.6586	LR: 0.100000
Training Epoch: 5 [29184/46250]	Loss: 0.6984	LR: 0.100000
Training Epoch: 5 [29440/46250]	Loss: 0.7122	LR: 0.100000
Training Epoch: 5 [29696/46250]	Loss: 0.6900	LR: 0.100000
Training Epoch: 5 [29952/46250]	Loss: 0.7455	LR: 0.100000
Training Epoch: 5 [30208/46250]	Loss: 0.8071	LR: 0.100000
Training Epoch: 5 [30464/46250]	Loss: 0.7167	LR: 0.100000
Training Epoch: 5 [30720/46250]	Loss: 0.8117	LR: 0.100000
Training Epoch: 5 [30976/46250]	Loss: 0.6919	LR: 0.100000
Training Epoch: 5 [31232/46250]	Loss: 0.7501	LR: 0.100000
Training Epoch: 5 [31488/46250]	Loss: 0.7599	LR: 0.100000
Training Epoch: 5 [31744/46250]	Loss: 0.7625	LR: 0.100000
Training Epoch: 5 [32000/46250]	Loss: 0.7214	LR: 0.100000
Training Epoch: 5 [32256/46250]	Loss: 0.7373	LR: 0.100000
Training Epoch: 5 [32512/46250]	Loss: 0.6318	LR: 0.100000
Training Epoch: 5 [32768/46250]	Loss: 0.8414	LR: 0.100000
Training Epoch: 5 [33024/46250]	Loss: 0.6249	LR: 0.100000
Training Epoch: 5 [33280/46250]	Loss: 0.7062	LR: 0.100000
Training Epoch: 5 [33536/46250]	Loss: 0.7511	LR: 0.100000
Training Epoch: 5 [33792/46250]	Loss: 0.8639	LR: 0.100000
Training Epoch: 5 [34048/46250]	Loss: 0.6776	LR: 0.100000
Training Epoch: 5 [34304/46250]	Loss: 0.8692	LR: 0.100000
Training Epoch: 5 [34560/46250]	Loss: 0.8339	LR: 0.100000
Training Epoch: 5 [34816/46250]	Loss: 0.7808	LR: 0.100000
Training Epoch: 5 [35072/46250]	Loss: 0.6767	LR: 0.100000
Training Epoch: 5 [35328/46250]	Loss: 0.7013	LR: 0.100000
Training Epoch: 5 [35584/46250]	Loss: 0.7665	LR: 0.100000
Training Epoch: 5 [35840/46250]	Loss: 0.8351	LR: 0.100000
Training Epoch: 5 [36096/46250]	Loss: 0.7653	LR: 0.100000
Training Epoch: 5 [36352/46250]	Loss: 0.8041	LR: 0.100000
Training Epoch: 5 [36608/46250]	Loss: 0.6801	LR: 0.100000
Training Epoch: 5 [36864/46250]	Loss: 0.7240	LR: 0.100000
Training Epoch: 5 [37120/46250]	Loss: 0.7848	LR: 0.100000
Training Epoch: 5 [37376/46250]	Loss: 0.7101	LR: 0.100000
Training Epoch: 5 [37632/46250]	Loss: 0.8056	LR: 0.100000
Training Epoch: 5 [37888/46250]	Loss: 0.7271	LR: 0.100000
Training Epoch: 5 [38144/46250]	Loss: 0.6876	LR: 0.100000
Training Epoch: 5 [38400/46250]	Loss: 0.8071	LR: 0.100000
Training Epoch: 5 [38656/46250]	Loss: 0.7847	LR: 0.100000
Training Epoch: 5 [38912/46250]	Loss: 0.7563	LR: 0.100000
Training Epoch: 5 [39168/46250]	Loss: 0.8259	LR: 0.100000
Training Epoch: 5 [39424/46250]	Loss: 0.8237	LR: 0.100000
Training Epoch: 5 [39680/46250]	Loss: 0.6734	LR: 0.100000
Training Epoch: 5 [39936/46250]	Loss: 0.6280	LR: 0.100000
Training Epoch: 5 [40192/46250]	Loss: 0.8651	LR: 0.100000
Training Epoch: 5 [40448/46250]	Loss: 0.7392	LR: 0.100000
Training Epoch: 5 [40704/46250]	Loss: 0.6632	LR: 0.100000
Training Epoch: 5 [40960/46250]	Loss: 0.6959	LR: 0.100000
Training Epoch: 5 [41216/46250]	Loss: 0.7042	LR: 0.100000
Training Epoch: 5 [41472/46250]	Loss: 0.6993	LR: 0.100000
Training Epoch: 5 [41728/46250]	Loss: 0.7166	LR: 0.100000
Training Epoch: 5 [41984/46250]	Loss: 0.7468	LR: 0.100000
Training Epoch: 5 [42240/46250]	Loss: 0.7590	LR: 0.100000
Training Epoch: 5 [42496/46250]	Loss: 0.7523	LR: 0.100000
Training Epoch: 5 [42752/46250]	Loss: 0.8542	LR: 0.100000
Training Epoch: 5 [43008/46250]	Loss: 0.6307	LR: 0.100000
Training Epoch: 5 [43264/46250]	Loss: 0.7390	LR: 0.100000
Training Epoch: 5 [43520/46250]	Loss: 0.7108	LR: 0.100000
Training Epoch: 5 [43776/46250]	Loss: 0.7845	LR: 0.100000
Training Epoch: 5 [44032/46250]	Loss: 0.5731	LR: 0.100000
Training Epoch: 5 [44288/46250]	Loss: 0.6773	LR: 0.100000
Training Epoch: 5 [44544/46250]	Loss: 0.7013	LR: 0.100000
Training Epoch: 5 [44800/46250]	Loss: 0.7844	LR: 0.100000
Training Epoch: 5 [45056/46250]	Loss: 0.6230	LR: 0.100000
Training Epoch: 5 [45312/46250]	Loss: 0.7474	LR: 0.100000
Training Epoch: 5 [45568/46250]	Loss: 0.5690	LR: 0.100000
Training Epoch: 5 [45824/46250]	Loss: 0.7750	LR: 0.100000
Training Epoch: 5 [46080/46250]	Loss: 0.7335	LR: 0.100000
Training Epoch: 5 [46250/46250]	Loss: 0.8715	LR: 0.100000
Epoch 5 - Average Train Loss: 0.7590, Train Accuracy: 0.7332
Epoch 5 training time consumed: 25.48s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0037, Accuracy: 0.6912, Time consumed:1.00s
Training Epoch: 6 [256/46250]	Loss: 0.7212	LR: 0.100000
Training Epoch: 6 [512/46250]	Loss: 0.7826	LR: 0.100000
Training Epoch: 6 [768/46250]	Loss: 0.6983	LR: 0.100000
Training Epoch: 6 [1024/46250]	Loss: 0.6733	LR: 0.100000
Training Epoch: 6 [1280/46250]	Loss: 0.7202	LR: 0.100000
Training Epoch: 6 [1536/46250]	Loss: 0.7205	LR: 0.100000
Training Epoch: 6 [1792/46250]	Loss: 0.7707	LR: 0.100000
Training Epoch: 6 [2048/46250]	Loss: 0.8084	LR: 0.100000
Training Epoch: 6 [2304/46250]	Loss: 0.6393	LR: 0.100000
Training Epoch: 6 [2560/46250]	Loss: 0.7536	LR: 0.100000
Training Epoch: 6 [2816/46250]	Loss: 0.8727	LR: 0.100000
Training Epoch: 6 [3072/46250]	Loss: 0.6858	LR: 0.100000
Training Epoch: 6 [3328/46250]	Loss: 0.7649	LR: 0.100000
Training Epoch: 6 [3584/46250]	Loss: 0.6858	LR: 0.100000
Training Epoch: 6 [3840/46250]	Loss: 0.7972	LR: 0.100000
Training Epoch: 6 [4096/46250]	Loss: 0.6950	LR: 0.100000
Training Epoch: 6 [4352/46250]	Loss: 0.6541	LR: 0.100000
Training Epoch: 6 [4608/46250]	Loss: 0.8228	LR: 0.100000
Training Epoch: 6 [4864/46250]	Loss: 0.6498	LR: 0.100000
Training Epoch: 6 [5120/46250]	Loss: 0.6621	LR: 0.100000
Training Epoch: 6 [5376/46250]	Loss: 0.6560	LR: 0.100000
Training Epoch: 6 [5632/46250]	Loss: 0.6466	LR: 0.100000
Training Epoch: 6 [5888/46250]	Loss: 0.7840	LR: 0.100000
Training Epoch: 6 [6144/46250]	Loss: 0.7601	LR: 0.100000
Training Epoch: 6 [6400/46250]	Loss: 0.6841	LR: 0.100000
Training Epoch: 6 [6656/46250]	Loss: 0.6134	LR: 0.100000
Training Epoch: 6 [6912/46250]	Loss: 0.7480	LR: 0.100000
Training Epoch: 6 [7168/46250]	Loss: 0.7342	LR: 0.100000
Training Epoch: 6 [7424/46250]	Loss: 0.8154	LR: 0.100000
Training Epoch: 6 [7680/46250]	Loss: 0.7204	LR: 0.100000
Training Epoch: 6 [7936/46250]	Loss: 0.7056	LR: 0.100000
Training Epoch: 6 [8192/46250]	Loss: 0.8489	LR: 0.100000
Training Epoch: 6 [8448/46250]	Loss: 0.6575	LR: 0.100000
Training Epoch: 6 [8704/46250]	Loss: 0.6053	LR: 0.100000
Training Epoch: 6 [8960/46250]	Loss: 0.6953	LR: 0.100000
Training Epoch: 6 [9216/46250]	Loss: 0.7177	LR: 0.100000
Training Epoch: 6 [9472/46250]	Loss: 0.7675	LR: 0.100000
Training Epoch: 6 [9728/46250]	Loss: 0.7363	LR: 0.100000
Training Epoch: 6 [9984/46250]	Loss: 0.7918	LR: 0.100000
Training Epoch: 6 [10240/46250]	Loss: 0.7805	LR: 0.100000
Training Epoch: 6 [10496/46250]	Loss: 0.7191	LR: 0.100000
Training Epoch: 6 [10752/46250]	Loss: 0.6985	LR: 0.100000
Training Epoch: 6 [11008/46250]	Loss: 0.6818	LR: 0.100000
Training Epoch: 6 [11264/46250]	Loss: 0.6702	LR: 0.100000
Training Epoch: 6 [11520/46250]	Loss: 0.6603	LR: 0.100000
Training Epoch: 6 [11776/46250]	Loss: 0.6471	LR: 0.100000
Training Epoch: 6 [12032/46250]	Loss: 0.6659	LR: 0.100000
Training Epoch: 6 [12288/46250]	Loss: 0.7506	LR: 0.100000
Training Epoch: 6 [12544/46250]	Loss: 0.7939	LR: 0.100000
Training Epoch: 6 [12800/46250]	Loss: 0.7006	LR: 0.100000
Training Epoch: 6 [13056/46250]	Loss: 0.5872	LR: 0.100000
Training Epoch: 6 [13312/46250]	Loss: 0.6647	LR: 0.100000
Training Epoch: 6 [13568/46250]	Loss: 0.8097	LR: 0.100000
Training Epoch: 6 [13824/46250]	Loss: 0.7242	LR: 0.100000
Training Epoch: 6 [14080/46250]	Loss: 0.7447	LR: 0.100000
Training Epoch: 6 [14336/46250]	Loss: 0.7125	LR: 0.100000
Training Epoch: 6 [14592/46250]	Loss: 0.8000	LR: 0.100000
Training Epoch: 6 [14848/46250]	Loss: 0.7952	LR: 0.100000
Training Epoch: 6 [15104/46250]	Loss: 0.6700	LR: 0.100000
Training Epoch: 6 [15360/46250]	Loss: 0.6674	LR: 0.100000
Training Epoch: 6 [15616/46250]	Loss: 0.7593	LR: 0.100000
Training Epoch: 6 [15872/46250]	Loss: 0.6957	LR: 0.100000
Training Epoch: 6 [16128/46250]	Loss: 0.7800	LR: 0.100000
Training Epoch: 6 [16384/46250]	Loss: 0.6687	LR: 0.100000
Training Epoch: 6 [16640/46250]	Loss: 0.6644	LR: 0.100000
Training Epoch: 6 [16896/46250]	Loss: 0.6252	LR: 0.100000
Training Epoch: 6 [17152/46250]	Loss: 0.6911	LR: 0.100000
Training Epoch: 6 [17408/46250]	Loss: 0.6597	LR: 0.100000
Training Epoch: 6 [17664/46250]	Loss: 0.6626	LR: 0.100000
Training Epoch: 6 [17920/46250]	Loss: 0.7102	LR: 0.100000
Training Epoch: 6 [18176/46250]	Loss: 0.6766	LR: 0.100000
Training Epoch: 6 [18432/46250]	Loss: 0.5592	LR: 0.100000
Training Epoch: 6 [18688/46250]	Loss: 0.5126	LR: 0.100000
Training Epoch: 6 [18944/46250]	Loss: 0.7117	LR: 0.100000
Training Epoch: 6 [19200/46250]	Loss: 0.5032	LR: 0.100000
Training Epoch: 6 [19456/46250]	Loss: 0.7316	LR: 0.100000
Training Epoch: 6 [19712/46250]	Loss: 0.7307	LR: 0.100000
Training Epoch: 6 [19968/46250]	Loss: 0.6163	LR: 0.100000
Training Epoch: 6 [20224/46250]	Loss: 0.6497	LR: 0.100000
Training Epoch: 6 [20480/46250]	Loss: 0.6685	LR: 0.100000
Training Epoch: 6 [20736/46250]	Loss: 0.6968	LR: 0.100000
Training Epoch: 6 [20992/46250]	Loss: 0.6763	LR: 0.100000
Training Epoch: 6 [21248/46250]	Loss: 0.6792	LR: 0.100000
Training Epoch: 6 [21504/46250]	Loss: 0.7056	LR: 0.100000
Training Epoch: 6 [21760/46250]	Loss: 0.7712	LR: 0.100000
Training Epoch: 6 [22016/46250]	Loss: 0.6857	LR: 0.100000
Training Epoch: 6 [22272/46250]	Loss: 0.8115	LR: 0.100000
Training Epoch: 6 [22528/46250]	Loss: 0.6488	LR: 0.100000
Training Epoch: 6 [22784/46250]	Loss: 0.7140	LR: 0.100000
Training Epoch: 6 [23040/46250]	Loss: 0.7186	LR: 0.100000
Training Epoch: 6 [23296/46250]	Loss: 0.6518	LR: 0.100000
Training Epoch: 6 [23552/46250]	Loss: 0.6072	LR: 0.100000
Training Epoch: 6 [23808/46250]	Loss: 0.6873	LR: 0.100000
Training Epoch: 6 [24064/46250]	Loss: 0.6935	LR: 0.100000
Training Epoch: 6 [24320/46250]	Loss: 0.7236	LR: 0.100000
Training Epoch: 6 [24576/46250]	Loss: 0.7040	LR: 0.100000
Training Epoch: 6 [24832/46250]	Loss: 0.6984	LR: 0.100000
Training Epoch: 6 [25088/46250]	Loss: 0.7595	LR: 0.100000
Training Epoch: 6 [25344/46250]	Loss: 0.6894	LR: 0.100000
Training Epoch: 6 [25600/46250]	Loss: 0.7842	LR: 0.100000
Training Epoch: 6 [25856/46250]	Loss: 0.7557	LR: 0.100000
Training Epoch: 6 [26112/46250]	Loss: 0.7615	LR: 0.100000
Training Epoch: 6 [26368/46250]	Loss: 0.6440	LR: 0.100000
Training Epoch: 6 [26624/46250]	Loss: 0.7930	LR: 0.100000
Training Epoch: 6 [26880/46250]	Loss: 0.6605	LR: 0.100000
Training Epoch: 6 [27136/46250]	Loss: 0.6630	LR: 0.100000
Training Epoch: 6 [27392/46250]	Loss: 0.7625	LR: 0.100000
Training Epoch: 6 [27648/46250]	Loss: 0.7826	LR: 0.100000
Training Epoch: 6 [27904/46250]	Loss: 0.7605	LR: 0.100000
Training Epoch: 6 [28160/46250]	Loss: 0.6053	LR: 0.100000
Training Epoch: 6 [28416/46250]	Loss: 0.6633	LR: 0.100000
Training Epoch: 6 [28672/46250]	Loss: 0.8137	LR: 0.100000
Training Epoch: 6 [28928/46250]	Loss: 0.6138	LR: 0.100000
Training Epoch: 6 [29184/46250]	Loss: 0.6526	LR: 0.100000
Training Epoch: 6 [29440/46250]	Loss: 0.5779	LR: 0.100000
Training Epoch: 6 [29696/46250]	Loss: 0.7534	LR: 0.100000
Training Epoch: 6 [29952/46250]	Loss: 0.6781	LR: 0.100000
Training Epoch: 6 [30208/46250]	Loss: 0.5488	LR: 0.100000
Training Epoch: 6 [30464/46250]	Loss: 0.6874	LR: 0.100000
Training Epoch: 6 [30720/46250]	Loss: 0.6912	LR: 0.100000
Training Epoch: 6 [30976/46250]	Loss: 0.6675	LR: 0.100000
Training Epoch: 6 [31232/46250]	Loss: 0.7212	LR: 0.100000
Training Epoch: 6 [31488/46250]	Loss: 0.6940	LR: 0.100000
Training Epoch: 6 [31744/46250]	Loss: 0.5759	LR: 0.100000
Training Epoch: 6 [32000/46250]	Loss: 0.7256	LR: 0.100000
Training Epoch: 6 [32256/46250]	Loss: 0.7258	LR: 0.100000
Training Epoch: 6 [32512/46250]	Loss: 0.6400	LR: 0.100000
Training Epoch: 6 [32768/46250]	Loss: 0.6386	LR: 0.100000
Training Epoch: 6 [33024/46250]	Loss: 0.7091	LR: 0.100000
Training Epoch: 6 [33280/46250]	Loss: 0.6764	LR: 0.100000
Training Epoch: 6 [33536/46250]	Loss: 0.6371	LR: 0.100000
Training Epoch: 6 [33792/46250]	Loss: 0.8311	LR: 0.100000
Training Epoch: 6 [34048/46250]	Loss: 0.5812	LR: 0.100000
Training Epoch: 6 [34304/46250]	Loss: 0.5985	LR: 0.100000
Training Epoch: 6 [34560/46250]	Loss: 0.6059	LR: 0.100000
Training Epoch: 6 [34816/46250]	Loss: 0.7669	LR: 0.100000
Training Epoch: 6 [35072/46250]	Loss: 0.6259	LR: 0.100000
Training Epoch: 6 [35328/46250]	Loss: 0.6365	LR: 0.100000
Training Epoch: 6 [35584/46250]	Loss: 0.6963	LR: 0.100000
Training Epoch: 6 [35840/46250]	Loss: 0.6285	LR: 0.100000
Training Epoch: 6 [36096/46250]	Loss: 0.6723	LR: 0.100000
Training Epoch: 6 [36352/46250]	Loss: 0.6631	LR: 0.100000
Training Epoch: 6 [36608/46250]	Loss: 0.6968	LR: 0.100000
Training Epoch: 6 [36864/46250]	Loss: 0.6766	LR: 0.100000
Training Epoch: 6 [37120/46250]	Loss: 0.6724	LR: 0.100000
Training Epoch: 6 [37376/46250]	Loss: 0.7195	LR: 0.100000
Training Epoch: 6 [37632/46250]	Loss: 0.6435	LR: 0.100000
Training Epoch: 6 [37888/46250]	Loss: 0.7337	LR: 0.100000
Training Epoch: 6 [38144/46250]	Loss: 0.6567	LR: 0.100000
Training Epoch: 6 [38400/46250]	Loss: 0.5928	LR: 0.100000
Training Epoch: 6 [38656/46250]	Loss: 0.6463	LR: 0.100000
Training Epoch: 6 [38912/46250]	Loss: 0.7246	LR: 0.100000
Training Epoch: 6 [39168/46250]	Loss: 0.6235	LR: 0.100000
Training Epoch: 6 [39424/46250]	Loss: 0.6729	LR: 0.100000
Training Epoch: 6 [39680/46250]	Loss: 0.7535	LR: 0.100000
Training Epoch: 6 [39936/46250]	Loss: 0.6634	LR: 0.100000
Training Epoch: 6 [40192/46250]	Loss: 0.6300	LR: 0.100000
Training Epoch: 6 [40448/46250]	Loss: 0.6434	LR: 0.100000
Training Epoch: 6 [40704/46250]	Loss: 0.5908	LR: 0.100000
Training Epoch: 6 [40960/46250]	Loss: 0.5873	LR: 0.100000
Training Epoch: 6 [41216/46250]	Loss: 0.7320	LR: 0.100000
Training Epoch: 6 [41472/46250]	Loss: 0.8302	LR: 0.100000
Training Epoch: 6 [41728/46250]	Loss: 0.7126	LR: 0.100000
Training Epoch: 6 [41984/46250]	Loss: 0.6907	LR: 0.100000
Training Epoch: 6 [42240/46250]	Loss: 0.7977	LR: 0.100000
Training Epoch: 6 [42496/46250]	Loss: 0.6011	LR: 0.100000
Training Epoch: 6 [42752/46250]	Loss: 0.6772	LR: 0.100000
Training Epoch: 6 [43008/46250]	Loss: 0.7050	LR: 0.100000
Training Epoch: 6 [43264/46250]	Loss: 0.5756	LR: 0.100000
Training Epoch: 6 [43520/46250]	Loss: 0.8004	LR: 0.100000
Training Epoch: 6 [43776/46250]	Loss: 0.6521	LR: 0.100000
Training Epoch: 6 [44032/46250]	Loss: 0.7574	LR: 0.100000
Training Epoch: 6 [44288/46250]	Loss: 0.5707	LR: 0.100000
Training Epoch: 6 [44544/46250]	Loss: 0.5968	LR: 0.100000
Training Epoch: 6 [44800/46250]	Loss: 0.5570	LR: 0.100000
Training Epoch: 6 [45056/46250]	Loss: 0.6349	LR: 0.100000
Training Epoch: 6 [45312/46250]	Loss: 0.7005	LR: 0.100000
Training Epoch: 6 [45568/46250]	Loss: 0.6682	LR: 0.100000
Training Epoch: 6 [45824/46250]	Loss: 0.7032	LR: 0.100000
Training Epoch: 6 [46080/46250]	Loss: 0.7104	LR: 0.100000
Training Epoch: 6 [46250/46250]	Loss: 0.6785	LR: 0.100000
Epoch 6 - Average Train Loss: 0.6932, Train Accuracy: 0.7608
Epoch 6 training time consumed: 25.37s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0028, Accuracy: 0.7598, Time consumed:0.92s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_21h_58m_05s/AllCNN-Cifar10-seed10-ret25-6-best.pth
Training Epoch: 7 [256/46250]	Loss: 0.6042	LR: 0.100000
Training Epoch: 7 [512/46250]	Loss: 0.7104	LR: 0.100000
Training Epoch: 7 [768/46250]	Loss: 0.6961	LR: 0.100000
Training Epoch: 7 [1024/46250]	Loss: 0.6262	LR: 0.100000
Training Epoch: 7 [1280/46250]	Loss: 0.6666	LR: 0.100000
Training Epoch: 7 [1536/46250]	Loss: 0.6096	LR: 0.100000
Training Epoch: 7 [1792/46250]	Loss: 0.7041	LR: 0.100000
Training Epoch: 7 [2048/46250]	Loss: 0.7089	LR: 0.100000
Training Epoch: 7 [2304/46250]	Loss: 0.6594	LR: 0.100000
Training Epoch: 7 [2560/46250]	Loss: 0.6139	LR: 0.100000
Training Epoch: 7 [2816/46250]	Loss: 0.7286	LR: 0.100000
Training Epoch: 7 [3072/46250]	Loss: 0.6504	LR: 0.100000
Training Epoch: 7 [3328/46250]	Loss: 0.5964	LR: 0.100000
Training Epoch: 7 [3584/46250]	Loss: 0.6017	LR: 0.100000
Training Epoch: 7 [3840/46250]	Loss: 0.6642	LR: 0.100000
Training Epoch: 7 [4096/46250]	Loss: 0.6034	LR: 0.100000
Training Epoch: 7 [4352/46250]	Loss: 0.5895	LR: 0.100000
Training Epoch: 7 [4608/46250]	Loss: 0.7178	LR: 0.100000
Training Epoch: 7 [4864/46250]	Loss: 0.6778	LR: 0.100000
Training Epoch: 7 [5120/46250]	Loss: 0.5991	LR: 0.100000
Training Epoch: 7 [5376/46250]	Loss: 0.5646	LR: 0.100000
Training Epoch: 7 [5632/46250]	Loss: 0.6958	LR: 0.100000
Training Epoch: 7 [5888/46250]	Loss: 0.6567	LR: 0.100000
Training Epoch: 7 [6144/46250]	Loss: 0.5722	LR: 0.100000
Training Epoch: 7 [6400/46250]	Loss: 0.6312	LR: 0.100000
Training Epoch: 7 [6656/46250]	Loss: 0.6635	LR: 0.100000
Training Epoch: 7 [6912/46250]	Loss: 0.7145	LR: 0.100000
Training Epoch: 7 [7168/46250]	Loss: 0.6896	LR: 0.100000
Training Epoch: 7 [7424/46250]	Loss: 0.6057	LR: 0.100000
Training Epoch: 7 [7680/46250]	Loss: 0.6021	LR: 0.100000
Training Epoch: 7 [7936/46250]	Loss: 0.5931	LR: 0.100000
Training Epoch: 7 [8192/46250]	Loss: 0.6463	LR: 0.100000
Training Epoch: 7 [8448/46250]	Loss: 0.5878	LR: 0.100000
Training Epoch: 7 [8704/46250]	Loss: 0.6361	LR: 0.100000
Training Epoch: 7 [8960/46250]	Loss: 0.6216	LR: 0.100000
Training Epoch: 7 [9216/46250]	Loss: 0.6505	LR: 0.100000
Training Epoch: 7 [9472/46250]	Loss: 0.5998	LR: 0.100000
Training Epoch: 7 [9728/46250]	Loss: 0.6053	LR: 0.100000
Training Epoch: 7 [9984/46250]	Loss: 0.5637	LR: 0.100000
Training Epoch: 7 [10240/46250]	Loss: 0.5592	LR: 0.100000
Training Epoch: 7 [10496/46250]	Loss: 0.6464	LR: 0.100000
Training Epoch: 7 [10752/46250]	Loss: 0.7390	LR: 0.100000
Training Epoch: 7 [11008/46250]	Loss: 0.6675	LR: 0.100000
Training Epoch: 7 [11264/46250]	Loss: 0.6925	LR: 0.100000
Training Epoch: 7 [11520/46250]	Loss: 0.6862	LR: 0.100000
Training Epoch: 7 [11776/46250]	Loss: 0.6530	LR: 0.100000
Training Epoch: 7 [12032/46250]	Loss: 0.5391	LR: 0.100000
Training Epoch: 7 [12288/46250]	Loss: 0.7031	LR: 0.100000
Training Epoch: 7 [12544/46250]	Loss: 0.5834	LR: 0.100000
Training Epoch: 7 [12800/46250]	Loss: 0.6609	LR: 0.100000
Training Epoch: 7 [13056/46250]	Loss: 0.5709	LR: 0.100000
Training Epoch: 7 [13312/46250]	Loss: 0.7133	LR: 0.100000
Training Epoch: 7 [13568/46250]	Loss: 0.6846	LR: 0.100000
Training Epoch: 7 [13824/46250]	Loss: 0.5177	LR: 0.100000
Training Epoch: 7 [14080/46250]	Loss: 0.5637	LR: 0.100000
Training Epoch: 7 [14336/46250]	Loss: 0.7276	LR: 0.100000
Training Epoch: 7 [14592/46250]	Loss: 0.7272	LR: 0.100000
Training Epoch: 7 [14848/46250]	Loss: 0.7318	LR: 0.100000
Training Epoch: 7 [15104/46250]	Loss: 0.6334	LR: 0.100000
Training Epoch: 7 [15360/46250]	Loss: 0.6008	LR: 0.100000
Training Epoch: 7 [15616/46250]	Loss: 0.5322	LR: 0.100000
Training Epoch: 7 [15872/46250]	Loss: 0.6524	LR: 0.100000
Training Epoch: 7 [16128/46250]	Loss: 0.5500	LR: 0.100000
Training Epoch: 7 [16384/46250]	Loss: 0.6748	LR: 0.100000
Training Epoch: 7 [16640/46250]	Loss: 0.5424	LR: 0.100000
Training Epoch: 7 [16896/46250]	Loss: 0.5873	LR: 0.100000
Training Epoch: 7 [17152/46250]	Loss: 0.7244	LR: 0.100000
Training Epoch: 7 [17408/46250]	Loss: 0.5616	LR: 0.100000
Training Epoch: 7 [17664/46250]	Loss: 0.5996	LR: 0.100000
Training Epoch: 7 [17920/46250]	Loss: 0.6065	LR: 0.100000
Training Epoch: 7 [18176/46250]	Loss: 0.5940	LR: 0.100000
Training Epoch: 7 [18432/46250]	Loss: 0.6029	LR: 0.100000
Training Epoch: 7 [18688/46250]	Loss: 0.6488	LR: 0.100000
Training Epoch: 7 [18944/46250]	Loss: 0.8111	LR: 0.100000
Training Epoch: 7 [19200/46250]	Loss: 0.6958	LR: 0.100000
Training Epoch: 7 [19456/46250]	Loss: 0.6140	LR: 0.100000
Training Epoch: 7 [19712/46250]	Loss: 0.6472	LR: 0.100000
Training Epoch: 7 [19968/46250]	Loss: 0.6662	LR: 0.100000
Training Epoch: 7 [20224/46250]	Loss: 0.5251	LR: 0.100000
Training Epoch: 7 [20480/46250]	Loss: 0.6001	LR: 0.100000
Training Epoch: 7 [20736/46250]	Loss: 0.7311	LR: 0.100000
Training Epoch: 7 [20992/46250]	Loss: 0.6607	LR: 0.100000
Training Epoch: 7 [21248/46250]	Loss: 0.6296	LR: 0.100000
Training Epoch: 7 [21504/46250]	Loss: 0.7164	LR: 0.100000
Training Epoch: 7 [21760/46250]	Loss: 0.5482	LR: 0.100000
Training Epoch: 7 [22016/46250]	Loss: 0.5965	LR: 0.100000
Training Epoch: 7 [22272/46250]	Loss: 0.6947	LR: 0.100000
Training Epoch: 7 [22528/46250]	Loss: 0.6034	LR: 0.100000
Training Epoch: 7 [22784/46250]	Loss: 0.7539	LR: 0.100000
Training Epoch: 7 [23040/46250]	Loss: 0.5813	LR: 0.100000
Training Epoch: 7 [23296/46250]	Loss: 0.7453	LR: 0.100000
Training Epoch: 7 [23552/46250]	Loss: 0.5322	LR: 0.100000
Training Epoch: 7 [23808/46250]	Loss: 0.6112	LR: 0.100000
Training Epoch: 7 [24064/46250]	Loss: 0.7593	LR: 0.100000
Training Epoch: 7 [24320/46250]	Loss: 0.5914	LR: 0.100000
Training Epoch: 7 [24576/46250]	Loss: 0.6453	LR: 0.100000
Training Epoch: 7 [24832/46250]	Loss: 0.5906	LR: 0.100000
Training Epoch: 7 [25088/46250]	Loss: 0.5416	LR: 0.100000
Training Epoch: 7 [25344/46250]	Loss: 0.7302	LR: 0.100000
Training Epoch: 7 [25600/46250]	Loss: 0.6701	LR: 0.100000
Training Epoch: 7 [25856/46250]	Loss: 0.6836	LR: 0.100000
Training Epoch: 7 [26112/46250]	Loss: 0.6479	LR: 0.100000
Training Epoch: 7 [26368/46250]	Loss: 0.6486	LR: 0.100000
Training Epoch: 7 [26624/46250]	Loss: 0.6695	LR: 0.100000
Training Epoch: 7 [26880/46250]	Loss: 0.6950	LR: 0.100000
Training Epoch: 7 [27136/46250]	Loss: 0.6970	LR: 0.100000
Training Epoch: 7 [27392/46250]	Loss: 0.5224	LR: 0.100000
Training Epoch: 7 [27648/46250]	Loss: 0.6060	LR: 0.100000
Training Epoch: 7 [27904/46250]	Loss: 0.5820	LR: 0.100000
Training Epoch: 7 [28160/46250]	Loss: 0.6377	LR: 0.100000
Training Epoch: 7 [28416/46250]	Loss: 0.5483	LR: 0.100000
Training Epoch: 7 [28672/46250]	Loss: 0.6317	LR: 0.100000
Training Epoch: 7 [28928/46250]	Loss: 0.7656	LR: 0.100000
Training Epoch: 7 [29184/46250]	Loss: 0.5371	LR: 0.100000
Training Epoch: 7 [29440/46250]	Loss: 0.5642	LR: 0.100000
Training Epoch: 7 [29696/46250]	Loss: 0.6483	LR: 0.100000
Training Epoch: 7 [29952/46250]	Loss: 0.5945	LR: 0.100000
Training Epoch: 7 [30208/46250]	Loss: 0.7489	LR: 0.100000
Training Epoch: 7 [30464/46250]	Loss: 0.6084	LR: 0.100000
Training Epoch: 7 [30720/46250]	Loss: 0.4829	LR: 0.100000
Training Epoch: 7 [30976/46250]	Loss: 0.6511	LR: 0.100000
Training Epoch: 7 [31232/46250]	Loss: 0.6140	LR: 0.100000
Training Epoch: 7 [31488/46250]	Loss: 0.5606	LR: 0.100000
Training Epoch: 7 [31744/46250]	Loss: 0.6618	LR: 0.100000
Training Epoch: 7 [32000/46250]	Loss: 0.6593	LR: 0.100000
Training Epoch: 7 [32256/46250]	Loss: 0.6015	LR: 0.100000
Training Epoch: 7 [32512/46250]	Loss: 0.5065	LR: 0.100000
Training Epoch: 7 [32768/46250]	Loss: 0.6365	LR: 0.100000
Training Epoch: 7 [33024/46250]	Loss: 0.5430	LR: 0.100000
Training Epoch: 7 [33280/46250]	Loss: 0.5545	LR: 0.100000
Training Epoch: 7 [33536/46250]	Loss: 0.6398	LR: 0.100000
Training Epoch: 7 [33792/46250]	Loss: 0.5567	LR: 0.100000
Training Epoch: 7 [34048/46250]	Loss: 0.7769	LR: 0.100000
Training Epoch: 7 [34304/46250]	Loss: 0.7047	LR: 0.100000
Training Epoch: 7 [34560/46250]	Loss: 0.6599	LR: 0.100000
Training Epoch: 7 [34816/46250]	Loss: 0.5720	LR: 0.100000
Training Epoch: 7 [35072/46250]	Loss: 0.7654	LR: 0.100000
Training Epoch: 7 [35328/46250]	Loss: 0.6946	LR: 0.100000
Training Epoch: 7 [35584/46250]	Loss: 0.5756	LR: 0.100000
Training Epoch: 7 [35840/46250]	Loss: 0.6750	LR: 0.100000
Training Epoch: 7 [36096/46250]	Loss: 0.6226	LR: 0.100000
Training Epoch: 7 [36352/46250]	Loss: 0.6832	LR: 0.100000
Training Epoch: 7 [36608/46250]	Loss: 0.6035	LR: 0.100000
Training Epoch: 7 [36864/46250]	Loss: 0.6450	LR: 0.100000
Training Epoch: 7 [37120/46250]	Loss: 0.6319	LR: 0.100000
Training Epoch: 7 [37376/46250]	Loss: 0.6543	LR: 0.100000
Training Epoch: 7 [37632/46250]	Loss: 0.6583	LR: 0.100000
Training Epoch: 7 [37888/46250]	Loss: 0.6344	LR: 0.100000
Training Epoch: 7 [38144/46250]	Loss: 0.6084	LR: 0.100000
Training Epoch: 7 [38400/46250]	Loss: 0.6919	LR: 0.100000
Training Epoch: 7 [38656/46250]	Loss: 0.5963	LR: 0.100000
Training Epoch: 7 [38912/46250]	Loss: 0.5741	LR: 0.100000
Training Epoch: 7 [39168/46250]	Loss: 0.6770	LR: 0.100000
Training Epoch: 7 [39424/46250]	Loss: 0.5511	LR: 0.100000
Training Epoch: 7 [39680/46250]	Loss: 0.5892	LR: 0.100000
Training Epoch: 7 [39936/46250]	Loss: 0.6569	LR: 0.100000
Training Epoch: 7 [40192/46250]	Loss: 0.7299	LR: 0.100000
Training Epoch: 7 [40448/46250]	Loss: 0.5976	LR: 0.100000
Training Epoch: 7 [40704/46250]	Loss: 0.6606	LR: 0.100000
Training Epoch: 7 [40960/46250]	Loss: 0.6357	LR: 0.100000
Training Epoch: 7 [41216/46250]	Loss: 0.6157	LR: 0.100000
Training Epoch: 7 [41472/46250]	Loss: 0.6904	LR: 0.100000
Training Epoch: 7 [41728/46250]	Loss: 0.6094	LR: 0.100000
Training Epoch: 7 [41984/46250]	Loss: 0.6009	LR: 0.100000
Training Epoch: 7 [42240/46250]	Loss: 0.5706	LR: 0.100000
Training Epoch: 7 [42496/46250]	Loss: 0.6437	LR: 0.100000
Training Epoch: 7 [42752/46250]	Loss: 0.6341	LR: 0.100000
Training Epoch: 7 [43008/46250]	Loss: 0.7243	LR: 0.100000
Training Epoch: 7 [43264/46250]	Loss: 0.6947	LR: 0.100000
Training Epoch: 7 [43520/46250]	Loss: 0.5938	LR: 0.100000
Training Epoch: 7 [43776/46250]	Loss: 0.5887	LR: 0.100000
Training Epoch: 7 [44032/46250]	Loss: 0.6744	LR: 0.100000
Training Epoch: 7 [44288/46250]	Loss: 0.4754	LR: 0.100000
Training Epoch: 7 [44544/46250]	Loss: 0.6519	LR: 0.100000
Training Epoch: 7 [44800/46250]	Loss: 0.5872	LR: 0.100000
Training Epoch: 7 [45056/46250]	Loss: 0.7352	LR: 0.100000
Training Epoch: 7 [45312/46250]	Loss: 0.5656	LR: 0.100000
Training Epoch: 7 [45568/46250]	Loss: 0.5655	LR: 0.100000
Training Epoch: 7 [45824/46250]	Loss: 0.6773	LR: 0.100000
Training Epoch: 7 [46080/46250]	Loss: 0.6636	LR: 0.100000
Training Epoch: 7 [46250/46250]	Loss: 0.7525	LR: 0.100000
Epoch 7 - Average Train Loss: 0.6354, Train Accuracy: 0.7803
Epoch 7 training time consumed: 25.54s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0032, Accuracy: 0.7301, Time consumed:0.91s
Training Epoch: 8 [256/46250]	Loss: 0.5450	LR: 0.020000
Training Epoch: 8 [512/46250]	Loss: 0.6173	LR: 0.020000
Training Epoch: 8 [768/46250]	Loss: 0.6478	LR: 0.020000
Training Epoch: 8 [1024/46250]	Loss: 0.5182	LR: 0.020000
Training Epoch: 8 [1280/46250]	Loss: 0.6461	LR: 0.020000
Training Epoch: 8 [1536/46250]	Loss: 0.5800	LR: 0.020000
Training Epoch: 8 [1792/46250]	Loss: 0.5579	LR: 0.020000
Training Epoch: 8 [2048/46250]	Loss: 0.5343	LR: 0.020000
Training Epoch: 8 [2304/46250]	Loss: 0.5609	LR: 0.020000
Training Epoch: 8 [2560/46250]	Loss: 0.5011	LR: 0.020000
Training Epoch: 8 [2816/46250]	Loss: 0.4365	LR: 0.020000
Training Epoch: 8 [3072/46250]	Loss: 0.5910	LR: 0.020000
Training Epoch: 8 [3328/46250]	Loss: 0.5225	LR: 0.020000
Training Epoch: 8 [3584/46250]	Loss: 0.5244	LR: 0.020000
Training Epoch: 8 [3840/46250]	Loss: 0.5283	LR: 0.020000
Training Epoch: 8 [4096/46250]	Loss: 0.4749	LR: 0.020000
Training Epoch: 8 [4352/46250]	Loss: 0.5515	LR: 0.020000
Training Epoch: 8 [4608/46250]	Loss: 0.5619	LR: 0.020000
Training Epoch: 8 [4864/46250]	Loss: 0.5386	LR: 0.020000
Training Epoch: 8 [5120/46250]	Loss: 0.4740	LR: 0.020000
Training Epoch: 8 [5376/46250]	Loss: 0.5692	LR: 0.020000
Training Epoch: 8 [5632/46250]	Loss: 0.5900	LR: 0.020000
Training Epoch: 8 [5888/46250]	Loss: 0.5192	LR: 0.020000
Training Epoch: 8 [6144/46250]	Loss: 0.4247	LR: 0.020000
Training Epoch: 8 [6400/46250]	Loss: 0.5314	LR: 0.020000
Training Epoch: 8 [6656/46250]	Loss: 0.4095	LR: 0.020000
Training Epoch: 8 [6912/46250]	Loss: 0.5328	LR: 0.020000
Training Epoch: 8 [7168/46250]	Loss: 0.4642	LR: 0.020000
Training Epoch: 8 [7424/46250]	Loss: 0.6254	LR: 0.020000
Training Epoch: 8 [7680/46250]	Loss: 0.4329	LR: 0.020000
Training Epoch: 8 [7936/46250]	Loss: 0.4771	LR: 0.020000
Training Epoch: 8 [8192/46250]	Loss: 0.4771	LR: 0.020000
Training Epoch: 8 [8448/46250]	Loss: 0.5144	LR: 0.020000
Training Epoch: 8 [8704/46250]	Loss: 0.5064	LR: 0.020000
Training Epoch: 8 [8960/46250]	Loss: 0.4864	LR: 0.020000
Training Epoch: 8 [9216/46250]	Loss: 0.5289	LR: 0.020000
Training Epoch: 8 [9472/46250]	Loss: 0.5220	LR: 0.020000
Training Epoch: 8 [9728/46250]	Loss: 0.4875	LR: 0.020000
Training Epoch: 8 [9984/46250]	Loss: 0.5663	LR: 0.020000
Training Epoch: 8 [10240/46250]	Loss: 0.5684	LR: 0.020000
Training Epoch: 8 [10496/46250]	Loss: 0.4894	LR: 0.020000
Training Epoch: 8 [10752/46250]	Loss: 0.5166	LR: 0.020000
Training Epoch: 8 [11008/46250]	Loss: 0.5281	LR: 0.020000
Training Epoch: 8 [11264/46250]	Loss: 0.5074	LR: 0.020000
Training Epoch: 8 [11520/46250]	Loss: 0.5356	LR: 0.020000
Training Epoch: 8 [11776/46250]	Loss: 0.4890	LR: 0.020000
Training Epoch: 8 [12032/46250]	Loss: 0.4128	LR: 0.020000
Training Epoch: 8 [12288/46250]	Loss: 0.5290	LR: 0.020000
Training Epoch: 8 [12544/46250]	Loss: 0.4901	LR: 0.020000
Training Epoch: 8 [12800/46250]	Loss: 0.4259	LR: 0.020000
Training Epoch: 8 [13056/46250]	Loss: 0.4497	LR: 0.020000
Training Epoch: 8 [13312/46250]	Loss: 0.5796	LR: 0.020000
Training Epoch: 8 [13568/46250]	Loss: 0.5766	LR: 0.020000
Training Epoch: 8 [13824/46250]	Loss: 0.5536	LR: 0.020000
Training Epoch: 8 [14080/46250]	Loss: 0.5024	LR: 0.020000
Training Epoch: 8 [14336/46250]	Loss: 0.5209	LR: 0.020000
Training Epoch: 8 [14592/46250]	Loss: 0.4823	LR: 0.020000
Training Epoch: 8 [14848/46250]	Loss: 0.4790	LR: 0.020000
Training Epoch: 8 [15104/46250]	Loss: 0.5882	LR: 0.020000
Training Epoch: 8 [15360/46250]	Loss: 0.5133	LR: 0.020000
Training Epoch: 8 [15616/46250]	Loss: 0.4868	LR: 0.020000
Training Epoch: 8 [15872/46250]	Loss: 0.5220	LR: 0.020000
Training Epoch: 8 [16128/46250]	Loss: 0.4904	LR: 0.020000
Training Epoch: 8 [16384/46250]	Loss: 0.4318	LR: 0.020000
Training Epoch: 8 [16640/46250]	Loss: 0.4729	LR: 0.020000
Training Epoch: 8 [16896/46250]	Loss: 0.4719	LR: 0.020000
Training Epoch: 8 [17152/46250]	Loss: 0.4900	LR: 0.020000
Training Epoch: 8 [17408/46250]	Loss: 0.4905	LR: 0.020000
Training Epoch: 8 [17664/46250]	Loss: 0.4518	LR: 0.020000
Training Epoch: 8 [17920/46250]	Loss: 0.5227	LR: 0.020000
Training Epoch: 8 [18176/46250]	Loss: 0.5731	LR: 0.020000
Training Epoch: 8 [18432/46250]	Loss: 0.5247	LR: 0.020000
Training Epoch: 8 [18688/46250]	Loss: 0.4342	LR: 0.020000
Training Epoch: 8 [18944/46250]	Loss: 0.4151	LR: 0.020000
Training Epoch: 8 [19200/46250]	Loss: 0.4430	LR: 0.020000
Training Epoch: 8 [19456/46250]	Loss: 0.4061	LR: 0.020000
Training Epoch: 8 [19712/46250]	Loss: 0.4901	LR: 0.020000
Training Epoch: 8 [19968/46250]	Loss: 0.4503	LR: 0.020000
Training Epoch: 8 [20224/46250]	Loss: 0.4058	LR: 0.020000
Training Epoch: 8 [20480/46250]	Loss: 0.4873	LR: 0.020000
Training Epoch: 8 [20736/46250]	Loss: 0.4549	LR: 0.020000
Training Epoch: 8 [20992/46250]	Loss: 0.4544	LR: 0.020000
Training Epoch: 8 [21248/46250]	Loss: 0.4988	LR: 0.020000
Training Epoch: 8 [21504/46250]	Loss: 0.4632	LR: 0.020000
Training Epoch: 8 [21760/46250]	Loss: 0.4191	LR: 0.020000
Training Epoch: 8 [22016/46250]	Loss: 0.4535	LR: 0.020000
Training Epoch: 8 [22272/46250]	Loss: 0.4490	LR: 0.020000
Training Epoch: 8 [22528/46250]	Loss: 0.4532	LR: 0.020000
Training Epoch: 8 [22784/46250]	Loss: 0.4369	LR: 0.020000
Training Epoch: 8 [23040/46250]	Loss: 0.4387	LR: 0.020000
Training Epoch: 8 [23296/46250]	Loss: 0.5422	LR: 0.020000
Training Epoch: 8 [23552/46250]	Loss: 0.4688	LR: 0.020000
Training Epoch: 8 [23808/46250]	Loss: 0.4046	LR: 0.020000
Training Epoch: 8 [24064/46250]	Loss: 0.4465	LR: 0.020000
Training Epoch: 8 [24320/46250]	Loss: 0.4930	LR: 0.020000
Training Epoch: 8 [24576/46250]	Loss: 0.5268	LR: 0.020000
Training Epoch: 8 [24832/46250]	Loss: 0.5308	LR: 0.020000
Training Epoch: 8 [25088/46250]	Loss: 0.4399	LR: 0.020000
Training Epoch: 8 [25344/46250]	Loss: 0.4404	LR: 0.020000
Training Epoch: 8 [25600/46250]	Loss: 0.5046	LR: 0.020000
Training Epoch: 8 [25856/46250]	Loss: 0.4431	LR: 0.020000
Training Epoch: 8 [26112/46250]	Loss: 0.3758	LR: 0.020000
Training Epoch: 8 [26368/46250]	Loss: 0.5153	LR: 0.020000
Training Epoch: 8 [26624/46250]	Loss: 0.5594	LR: 0.020000
Training Epoch: 8 [26880/46250]	Loss: 0.5027	LR: 0.020000
Training Epoch: 8 [27136/46250]	Loss: 0.4410	LR: 0.020000
Training Epoch: 8 [27392/46250]	Loss: 0.4714	LR: 0.020000
Training Epoch: 8 [27648/46250]	Loss: 0.4483	LR: 0.020000
Training Epoch: 8 [27904/46250]	Loss: 0.4633	LR: 0.020000
Training Epoch: 8 [28160/46250]	Loss: 0.4891	LR: 0.020000
Training Epoch: 8 [28416/46250]	Loss: 0.5343	LR: 0.020000
Training Epoch: 8 [28672/46250]	Loss: 0.4063	LR: 0.020000
Training Epoch: 8 [28928/46250]	Loss: 0.4745	LR: 0.020000
Training Epoch: 8 [29184/46250]	Loss: 0.5156	LR: 0.020000
Training Epoch: 8 [29440/46250]	Loss: 0.4394	LR: 0.020000
Training Epoch: 8 [29696/46250]	Loss: 0.4353	LR: 0.020000
Training Epoch: 8 [29952/46250]	Loss: 0.4240	LR: 0.020000
Training Epoch: 8 [30208/46250]	Loss: 0.5022	LR: 0.020000
Training Epoch: 8 [30464/46250]	Loss: 0.4915	LR: 0.020000
Training Epoch: 8 [30720/46250]	Loss: 0.5335	LR: 0.020000
Training Epoch: 8 [30976/46250]	Loss: 0.4632	LR: 0.020000
Training Epoch: 8 [31232/46250]	Loss: 0.4915	LR: 0.020000
Training Epoch: 8 [31488/46250]	Loss: 0.4257	LR: 0.020000
Training Epoch: 8 [31744/46250]	Loss: 0.5672	LR: 0.020000
Training Epoch: 8 [32000/46250]	Loss: 0.4578	LR: 0.020000
Training Epoch: 8 [32256/46250]	Loss: 0.5007	LR: 0.020000
Training Epoch: 8 [32512/46250]	Loss: 0.4455	LR: 0.020000
Training Epoch: 8 [32768/46250]	Loss: 0.4728	LR: 0.020000
Training Epoch: 8 [33024/46250]	Loss: 0.4751	LR: 0.020000
Training Epoch: 8 [33280/46250]	Loss: 0.4921	LR: 0.020000
Training Epoch: 8 [33536/46250]	Loss: 0.3444	LR: 0.020000
Training Epoch: 8 [33792/46250]	Loss: 0.4381	LR: 0.020000
Training Epoch: 8 [34048/46250]	Loss: 0.5126	LR: 0.020000
Training Epoch: 8 [34304/46250]	Loss: 0.5349	LR: 0.020000
Training Epoch: 8 [34560/46250]	Loss: 0.5244	LR: 0.020000
Training Epoch: 8 [34816/46250]	Loss: 0.4805	LR: 0.020000
Training Epoch: 8 [35072/46250]	Loss: 0.4972	LR: 0.020000
Training Epoch: 8 [35328/46250]	Loss: 0.4276	LR: 0.020000
Training Epoch: 8 [35584/46250]	Loss: 0.4213	LR: 0.020000
Training Epoch: 8 [35840/46250]	Loss: 0.4459	LR: 0.020000
Training Epoch: 8 [36096/46250]	Loss: 0.4343	LR: 0.020000
Training Epoch: 8 [36352/46250]	Loss: 0.5288	LR: 0.020000
Training Epoch: 8 [36608/46250]	Loss: 0.4384	LR: 0.020000
Training Epoch: 8 [36864/46250]	Loss: 0.4108	LR: 0.020000
Training Epoch: 8 [37120/46250]	Loss: 0.5278	LR: 0.020000
Training Epoch: 8 [37376/46250]	Loss: 0.4601	LR: 0.020000
Training Epoch: 8 [37632/46250]	Loss: 0.3892	LR: 0.020000
Training Epoch: 8 [37888/46250]	Loss: 0.5306	LR: 0.020000
Training Epoch: 8 [38144/46250]	Loss: 0.4852	LR: 0.020000
Training Epoch: 8 [38400/46250]	Loss: 0.5954	LR: 0.020000
Training Epoch: 8 [38656/46250]	Loss: 0.4698	LR: 0.020000
Training Epoch: 8 [38912/46250]	Loss: 0.4400	LR: 0.020000
Training Epoch: 8 [39168/46250]	Loss: 0.4634	LR: 0.020000
Training Epoch: 8 [39424/46250]	Loss: 0.4224	LR: 0.020000
Training Epoch: 8 [39680/46250]	Loss: 0.5097	LR: 0.020000
Training Epoch: 8 [39936/46250]	Loss: 0.4097	LR: 0.020000
Training Epoch: 8 [40192/46250]	Loss: 0.4643	LR: 0.020000
Training Epoch: 8 [40448/46250]	Loss: 0.4071	LR: 0.020000
Training Epoch: 8 [40704/46250]	Loss: 0.4672	LR: 0.020000
Training Epoch: 8 [40960/46250]	Loss: 0.5317	LR: 0.020000
Training Epoch: 8 [41216/46250]	Loss: 0.4288	LR: 0.020000
Training Epoch: 8 [41472/46250]	Loss: 0.4766	LR: 0.020000
Training Epoch: 8 [41728/46250]	Loss: 0.4077	LR: 0.020000
Training Epoch: 8 [41984/46250]	Loss: 0.5183	LR: 0.020000
Training Epoch: 8 [42240/46250]	Loss: 0.4893	LR: 0.020000
Training Epoch: 8 [42496/46250]	Loss: 0.5835	LR: 0.020000
Training Epoch: 8 [42752/46250]	Loss: 0.4361	LR: 0.020000
Training Epoch: 8 [43008/46250]	Loss: 0.4976	LR: 0.020000
Training Epoch: 8 [43264/46250]	Loss: 0.4404	LR: 0.020000
Training Epoch: 8 [43520/46250]	Loss: 0.4662	LR: 0.020000
Training Epoch: 8 [43776/46250]	Loss: 0.3936	LR: 0.020000
Training Epoch: 8 [44032/46250]	Loss: 0.5351	LR: 0.020000
Training Epoch: 8 [44288/46250]	Loss: 0.4778	LR: 0.020000
Training Epoch: 8 [44544/46250]	Loss: 0.4198	LR: 0.020000
Training Epoch: 8 [44800/46250]	Loss: 0.4758	LR: 0.020000
Training Epoch: 8 [45056/46250]	Loss: 0.3642	LR: 0.020000
Training Epoch: 8 [45312/46250]	Loss: 0.4444	LR: 0.020000
Training Epoch: 8 [45568/46250]	Loss: 0.4743	LR: 0.020000
Training Epoch: 8 [45824/46250]	Loss: 0.4355	LR: 0.020000
Training Epoch: 8 [46080/46250]	Loss: 0.4703	LR: 0.020000
Training Epoch: 8 [46250/46250]	Loss: 0.3989	LR: 0.020000
Epoch 8 - Average Train Loss: 0.4863, Train Accuracy: 0.8328
Epoch 8 training time consumed: 25.57s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0019, Accuracy: 0.8329, Time consumed:0.95s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_21h_58m_05s/AllCNN-Cifar10-seed10-ret25-8-best.pth
Training Epoch: 9 [256/46250]	Loss: 0.4866	LR: 0.020000
Training Epoch: 9 [512/46250]	Loss: 0.3993	LR: 0.020000
Training Epoch: 9 [768/46250]	Loss: 0.4438	LR: 0.020000
Training Epoch: 9 [1024/46250]	Loss: 0.4406	LR: 0.020000
Training Epoch: 9 [1280/46250]	Loss: 0.3962	LR: 0.020000
Training Epoch: 9 [1536/46250]	Loss: 0.5250	LR: 0.020000
Training Epoch: 9 [1792/46250]	Loss: 0.5686	LR: 0.020000
Training Epoch: 9 [2048/46250]	Loss: 0.5488	LR: 0.020000
Training Epoch: 9 [2304/46250]	Loss: 0.3986	LR: 0.020000
Training Epoch: 9 [2560/46250]	Loss: 0.3497	LR: 0.020000
Training Epoch: 9 [2816/46250]	Loss: 0.4565	LR: 0.020000
Training Epoch: 9 [3072/46250]	Loss: 0.5328	LR: 0.020000
Training Epoch: 9 [3328/46250]	Loss: 0.4279	LR: 0.020000
Training Epoch: 9 [3584/46250]	Loss: 0.4792	LR: 0.020000
Training Epoch: 9 [3840/46250]	Loss: 0.4530	LR: 0.020000
Training Epoch: 9 [4096/46250]	Loss: 0.5074	LR: 0.020000
Training Epoch: 9 [4352/46250]	Loss: 0.4498	LR: 0.020000
Training Epoch: 9 [4608/46250]	Loss: 0.4308	LR: 0.020000
Training Epoch: 9 [4864/46250]	Loss: 0.5005	LR: 0.020000
Training Epoch: 9 [5120/46250]	Loss: 0.4605	LR: 0.020000
Training Epoch: 9 [5376/46250]	Loss: 0.3838	LR: 0.020000
Training Epoch: 9 [5632/46250]	Loss: 0.4088	LR: 0.020000
Training Epoch: 9 [5888/46250]	Loss: 0.4556	LR: 0.020000
Training Epoch: 9 [6144/46250]	Loss: 0.3862	LR: 0.020000
Training Epoch: 9 [6400/46250]	Loss: 0.4602	LR: 0.020000
Training Epoch: 9 [6656/46250]	Loss: 0.4601	LR: 0.020000
Training Epoch: 9 [6912/46250]	Loss: 0.4540	LR: 0.020000
Training Epoch: 9 [7168/46250]	Loss: 0.5259	LR: 0.020000
Training Epoch: 9 [7424/46250]	Loss: 0.3060	LR: 0.020000
Training Epoch: 9 [7680/46250]	Loss: 0.4320	LR: 0.020000
Training Epoch: 9 [7936/46250]	Loss: 0.4518	LR: 0.020000
Training Epoch: 9 [8192/46250]	Loss: 0.4360	LR: 0.020000
Training Epoch: 9 [8448/46250]	Loss: 0.4439	LR: 0.020000
Training Epoch: 9 [8704/46250]	Loss: 0.4855	LR: 0.020000
Training Epoch: 9 [8960/46250]	Loss: 0.4130	LR: 0.020000
Training Epoch: 9 [9216/46250]	Loss: 0.4514	LR: 0.020000
Training Epoch: 9 [9472/46250]	Loss: 0.4077	LR: 0.020000
Training Epoch: 9 [9728/46250]	Loss: 0.4999	LR: 0.020000
Training Epoch: 9 [9984/46250]	Loss: 0.4631	LR: 0.020000
Training Epoch: 9 [10240/46250]	Loss: 0.6117	LR: 0.020000
Training Epoch: 9 [10496/46250]	Loss: 0.4693	LR: 0.020000
Training Epoch: 9 [10752/46250]	Loss: 0.4713	LR: 0.020000
Training Epoch: 9 [11008/46250]	Loss: 0.4480	LR: 0.020000
Training Epoch: 9 [11264/46250]	Loss: 0.4747	LR: 0.020000
Training Epoch: 9 [11520/46250]	Loss: 0.4363	LR: 0.020000
Training Epoch: 9 [11776/46250]	Loss: 0.4124	LR: 0.020000
Training Epoch: 9 [12032/46250]	Loss: 0.4686	LR: 0.020000
Training Epoch: 9 [12288/46250]	Loss: 0.4306	LR: 0.020000
Training Epoch: 9 [12544/46250]	Loss: 0.3678	LR: 0.020000
Training Epoch: 9 [12800/46250]	Loss: 0.4881	LR: 0.020000
Training Epoch: 9 [13056/46250]	Loss: 0.4282	LR: 0.020000
Training Epoch: 9 [13312/46250]	Loss: 0.4852	LR: 0.020000
Training Epoch: 9 [13568/46250]	Loss: 0.4781	LR: 0.020000
Training Epoch: 9 [13824/46250]	Loss: 0.4144	LR: 0.020000
Training Epoch: 9 [14080/46250]	Loss: 0.4100	LR: 0.020000
Training Epoch: 9 [14336/46250]	Loss: 0.4658	LR: 0.020000
Training Epoch: 9 [14592/46250]	Loss: 0.4919	LR: 0.020000
Training Epoch: 9 [14848/46250]	Loss: 0.4577	LR: 0.020000
Training Epoch: 9 [15104/46250]	Loss: 0.3865	LR: 0.020000
Training Epoch: 9 [15360/46250]	Loss: 0.3555	LR: 0.020000
Training Epoch: 9 [15616/46250]	Loss: 0.4251	LR: 0.020000
Training Epoch: 9 [15872/46250]	Loss: 0.4754	LR: 0.020000
Training Epoch: 9 [16128/46250]	Loss: 0.4900	LR: 0.020000
Training Epoch: 9 [16384/46250]	Loss: 0.4342	LR: 0.020000
Training Epoch: 9 [16640/46250]	Loss: 0.3967	LR: 0.020000
Training Epoch: 9 [16896/46250]	Loss: 0.4575	LR: 0.020000
Training Epoch: 9 [17152/46250]	Loss: 0.4380	LR: 0.020000
Training Epoch: 9 [17408/46250]	Loss: 0.4645	LR: 0.020000
Training Epoch: 9 [17664/46250]	Loss: 0.5761	LR: 0.020000
Training Epoch: 9 [17920/46250]	Loss: 0.4603	LR: 0.020000
Training Epoch: 9 [18176/46250]	Loss: 0.4528	LR: 0.020000
Training Epoch: 9 [18432/46250]	Loss: 0.4398	LR: 0.020000
Training Epoch: 9 [18688/46250]	Loss: 0.4355	LR: 0.020000
Training Epoch: 9 [18944/46250]	Loss: 0.5094	LR: 0.020000
Training Epoch: 9 [19200/46250]	Loss: 0.3523	LR: 0.020000
Training Epoch: 9 [19456/46250]	Loss: 0.4770	LR: 0.020000
Training Epoch: 9 [19712/46250]	Loss: 0.3704	LR: 0.020000
Training Epoch: 9 [19968/46250]	Loss: 0.3573	LR: 0.020000
Training Epoch: 9 [20224/46250]	Loss: 0.4148	LR: 0.020000
Training Epoch: 9 [20480/46250]	Loss: 0.4756	LR: 0.020000
Training Epoch: 9 [20736/46250]	Loss: 0.5289	LR: 0.020000
Training Epoch: 9 [20992/46250]	Loss: 0.4745	LR: 0.020000
Training Epoch: 9 [21248/46250]	Loss: 0.4713	LR: 0.020000
Training Epoch: 9 [21504/46250]	Loss: 0.4440	LR: 0.020000
Training Epoch: 9 [21760/46250]	Loss: 0.4641	LR: 0.020000
Training Epoch: 9 [22016/46250]	Loss: 0.4397	LR: 0.020000
Training Epoch: 9 [22272/46250]	Loss: 0.5049	LR: 0.020000
Training Epoch: 9 [22528/46250]	Loss: 0.4402	LR: 0.020000
Training Epoch: 9 [22784/46250]	Loss: 0.4299	LR: 0.020000
Training Epoch: 9 [23040/46250]	Loss: 0.4369	LR: 0.020000
Training Epoch: 9 [23296/46250]	Loss: 0.4479	LR: 0.020000
Training Epoch: 9 [23552/46250]	Loss: 0.4841	LR: 0.020000
Training Epoch: 9 [23808/46250]	Loss: 0.6899	LR: 0.020000
Training Epoch: 9 [24064/46250]	Loss: 0.4514	LR: 0.020000
Training Epoch: 9 [24320/46250]	Loss: 0.4544	LR: 0.020000
Training Epoch: 9 [24576/46250]	Loss: 0.4394	LR: 0.020000
Training Epoch: 9 [24832/46250]	Loss: 0.3532	LR: 0.020000
Training Epoch: 9 [25088/46250]	Loss: 0.4357	LR: 0.020000
Training Epoch: 9 [25344/46250]	Loss: 0.4044	LR: 0.020000
Training Epoch: 9 [25600/46250]	Loss: 0.3889	LR: 0.020000
Training Epoch: 9 [25856/46250]	Loss: 0.4412	LR: 0.020000
Training Epoch: 9 [26112/46250]	Loss: 0.4429	LR: 0.020000
Training Epoch: 9 [26368/46250]	Loss: 0.4193	LR: 0.020000
Training Epoch: 9 [26624/46250]	Loss: 0.4092	LR: 0.020000
Training Epoch: 9 [26880/46250]	Loss: 0.5243	LR: 0.020000
Training Epoch: 9 [27136/46250]	Loss: 0.5204	LR: 0.020000
Training Epoch: 9 [27392/46250]	Loss: 0.4536	LR: 0.020000
Training Epoch: 9 [27648/46250]	Loss: 0.4528	LR: 0.020000
Training Epoch: 9 [27904/46250]	Loss: 0.4164	LR: 0.020000
Training Epoch: 9 [28160/46250]	Loss: 0.4321	LR: 0.020000
Training Epoch: 9 [28416/46250]	Loss: 0.3720	LR: 0.020000
Training Epoch: 9 [28672/46250]	Loss: 0.4256	LR: 0.020000
Training Epoch: 9 [28928/46250]	Loss: 0.3704	LR: 0.020000
Training Epoch: 9 [29184/46250]	Loss: 0.3829	LR: 0.020000
Training Epoch: 9 [29440/46250]	Loss: 0.4478	LR: 0.020000
Training Epoch: 9 [29696/46250]	Loss: 0.4507	LR: 0.020000
Training Epoch: 9 [29952/46250]	Loss: 0.4630	LR: 0.020000
Training Epoch: 9 [30208/46250]	Loss: 0.4291	LR: 0.020000
Training Epoch: 9 [30464/46250]	Loss: 0.4679	LR: 0.020000
Training Epoch: 9 [30720/46250]	Loss: 0.3996	LR: 0.020000
Training Epoch: 9 [30976/46250]	Loss: 0.4799	LR: 0.020000
Training Epoch: 9 [31232/46250]	Loss: 0.3501	LR: 0.020000
Training Epoch: 9 [31488/46250]	Loss: 0.4430	LR: 0.020000
Training Epoch: 9 [31744/46250]	Loss: 0.4383	LR: 0.020000
Training Epoch: 9 [32000/46250]	Loss: 0.4930	LR: 0.020000
Training Epoch: 9 [32256/46250]	Loss: 0.4864	LR: 0.020000
Training Epoch: 9 [32512/46250]	Loss: 0.4977	LR: 0.020000
Training Epoch: 9 [32768/46250]	Loss: 0.3661	LR: 0.020000
Training Epoch: 9 [33024/46250]	Loss: 0.3403	LR: 0.020000
Training Epoch: 9 [33280/46250]	Loss: 0.5357	LR: 0.020000
Training Epoch: 9 [33536/46250]	Loss: 0.4747	LR: 0.020000
Training Epoch: 9 [33792/46250]	Loss: 0.3885	LR: 0.020000
Training Epoch: 9 [34048/46250]	Loss: 0.4144	LR: 0.020000
Training Epoch: 9 [34304/46250]	Loss: 0.4412	LR: 0.020000
Training Epoch: 9 [34560/46250]	Loss: 0.3795	LR: 0.020000
Training Epoch: 9 [34816/46250]	Loss: 0.4602	LR: 0.020000
Training Epoch: 9 [35072/46250]	Loss: 0.4507	LR: 0.020000
Training Epoch: 9 [35328/46250]	Loss: 0.4604	LR: 0.020000
Training Epoch: 9 [35584/46250]	Loss: 0.4408	LR: 0.020000
Training Epoch: 9 [35840/46250]	Loss: 0.4115	LR: 0.020000
Training Epoch: 9 [36096/46250]	Loss: 0.3970	LR: 0.020000
Training Epoch: 9 [36352/46250]	Loss: 0.3841	LR: 0.020000
Training Epoch: 9 [36608/46250]	Loss: 0.4529	LR: 0.020000
Training Epoch: 9 [36864/46250]	Loss: 0.5839	LR: 0.020000
Training Epoch: 9 [37120/46250]	Loss: 0.3580	LR: 0.020000
Training Epoch: 9 [37376/46250]	Loss: 0.4607	LR: 0.020000
Training Epoch: 9 [37632/46250]	Loss: 0.4124	LR: 0.020000
Training Epoch: 9 [37888/46250]	Loss: 0.4077	LR: 0.020000
Training Epoch: 9 [38144/46250]	Loss: 0.4658	LR: 0.020000
Training Epoch: 9 [38400/46250]	Loss: 0.4250	LR: 0.020000
Training Epoch: 9 [38656/46250]	Loss: 0.4568	LR: 0.020000
Training Epoch: 9 [38912/46250]	Loss: 0.3919	LR: 0.020000
Training Epoch: 9 [39168/46250]	Loss: 0.3966	LR: 0.020000
Training Epoch: 9 [39424/46250]	Loss: 0.4606	LR: 0.020000
Training Epoch: 9 [39680/46250]	Loss: 0.4801	LR: 0.020000
Training Epoch: 9 [39936/46250]	Loss: 0.4598	LR: 0.020000
Training Epoch: 9 [40192/46250]	Loss: 0.4780	LR: 0.020000
Training Epoch: 9 [40448/46250]	Loss: 0.4722	LR: 0.020000
Training Epoch: 9 [40704/46250]	Loss: 0.4131	LR: 0.020000
Training Epoch: 9 [40960/46250]	Loss: 0.4940	LR: 0.020000
Training Epoch: 9 [41216/46250]	Loss: 0.3850	LR: 0.020000
Training Epoch: 9 [41472/46250]	Loss: 0.3925	LR: 0.020000
Training Epoch: 9 [41728/46250]	Loss: 0.5506	LR: 0.020000
Training Epoch: 9 [41984/46250]	Loss: 0.4333	LR: 0.020000
Training Epoch: 9 [42240/46250]	Loss: 0.3873	LR: 0.020000
Training Epoch: 9 [42496/46250]	Loss: 0.3739	LR: 0.020000
Training Epoch: 9 [42752/46250]	Loss: 0.3839	LR: 0.020000
Training Epoch: 9 [43008/46250]	Loss: 0.3699	LR: 0.020000
Training Epoch: 9 [43264/46250]	Loss: 0.4659	LR: 0.020000
Training Epoch: 9 [43520/46250]	Loss: 0.4838	LR: 0.020000
Training Epoch: 9 [43776/46250]	Loss: 0.4322	LR: 0.020000
Training Epoch: 9 [44032/46250]	Loss: 0.4828	LR: 0.020000
Training Epoch: 9 [44288/46250]	Loss: 0.4262	LR: 0.020000
Training Epoch: 9 [44544/46250]	Loss: 0.4683	LR: 0.020000
Training Epoch: 9 [44800/46250]	Loss: 0.4016	LR: 0.020000
Training Epoch: 9 [45056/46250]	Loss: 0.4195	LR: 0.020000
Training Epoch: 9 [45312/46250]	Loss: 0.4423	LR: 0.020000
Training Epoch: 9 [45568/46250]	Loss: 0.3605	LR: 0.020000
Training Epoch: 9 [45824/46250]	Loss: 0.5032	LR: 0.020000
Training Epoch: 9 [46080/46250]	Loss: 0.4938	LR: 0.020000
Training Epoch: 9 [46250/46250]	Loss: 0.5386	LR: 0.020000
Epoch 9 - Average Train Loss: 0.4453, Train Accuracy: 0.8456
Epoch 9 training time consumed: 25.50s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0018, Accuracy: 0.8453, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_21h_58m_05s/AllCNN-Cifar10-seed10-ret25-9-best.pth
Training Epoch: 10 [256/46250]	Loss: 0.4081	LR: 0.020000
Training Epoch: 10 [512/46250]	Loss: 0.3129	LR: 0.020000
Training Epoch: 10 [768/46250]	Loss: 0.4563	LR: 0.020000
Training Epoch: 10 [1024/46250]	Loss: 0.3671	LR: 0.020000
Training Epoch: 10 [1280/46250]	Loss: 0.4146	LR: 0.020000
Training Epoch: 10 [1536/46250]	Loss: 0.4328	LR: 0.020000
Training Epoch: 10 [1792/46250]	Loss: 0.3853	LR: 0.020000
Training Epoch: 10 [2048/46250]	Loss: 0.4545	LR: 0.020000
Training Epoch: 10 [2304/46250]	Loss: 0.3388	LR: 0.020000
Training Epoch: 10 [2560/46250]	Loss: 0.4097	LR: 0.020000
Training Epoch: 10 [2816/46250]	Loss: 0.4028	LR: 0.020000
Training Epoch: 10 [3072/46250]	Loss: 0.4701	LR: 0.020000
Training Epoch: 10 [3328/46250]	Loss: 0.4164	LR: 0.020000
Training Epoch: 10 [3584/46250]	Loss: 0.3707	LR: 0.020000
Training Epoch: 10 [3840/46250]	Loss: 0.4587	LR: 0.020000
Training Epoch: 10 [4096/46250]	Loss: 0.3313	LR: 0.020000
Training Epoch: 10 [4352/46250]	Loss: 0.3822	LR: 0.020000
Training Epoch: 10 [4608/46250]	Loss: 0.4420	LR: 0.020000
Training Epoch: 10 [4864/46250]	Loss: 0.4149	LR: 0.020000
Training Epoch: 10 [5120/46250]	Loss: 0.4147	LR: 0.020000
Training Epoch: 10 [5376/46250]	Loss: 0.3419	LR: 0.020000
Training Epoch: 10 [5632/46250]	Loss: 0.4325	LR: 0.020000
Training Epoch: 10 [5888/46250]	Loss: 0.3696	LR: 0.020000
Training Epoch: 10 [6144/46250]	Loss: 0.4387	LR: 0.020000
Training Epoch: 10 [6400/46250]	Loss: 0.4628	LR: 0.020000
Training Epoch: 10 [6656/46250]	Loss: 0.3785	LR: 0.020000
Training Epoch: 10 [6912/46250]	Loss: 0.4620	LR: 0.020000
Training Epoch: 10 [7168/46250]	Loss: 0.4156	LR: 0.020000
Training Epoch: 10 [7424/46250]	Loss: 0.3749	LR: 0.020000
Training Epoch: 10 [7680/46250]	Loss: 0.4528	LR: 0.020000
Training Epoch: 10 [7936/46250]	Loss: 0.4568	LR: 0.020000
Training Epoch: 10 [8192/46250]	Loss: 0.4045	LR: 0.020000
Training Epoch: 10 [8448/46250]	Loss: 0.3835	LR: 0.020000
Training Epoch: 10 [8704/46250]	Loss: 0.4361	LR: 0.020000
Training Epoch: 10 [8960/46250]	Loss: 0.3687	LR: 0.020000
Training Epoch: 10 [9216/46250]	Loss: 0.3711	LR: 0.020000
Training Epoch: 10 [9472/46250]	Loss: 0.4517	LR: 0.020000
Training Epoch: 10 [9728/46250]	Loss: 0.3751	LR: 0.020000
Training Epoch: 10 [9984/46250]	Loss: 0.4339	LR: 0.020000
Training Epoch: 10 [10240/46250]	Loss: 0.4395	LR: 0.020000
Training Epoch: 10 [10496/46250]	Loss: 0.4769	LR: 0.020000
Training Epoch: 10 [10752/46250]	Loss: 0.4439	LR: 0.020000
Training Epoch: 10 [11008/46250]	Loss: 0.4767	LR: 0.020000
Training Epoch: 10 [11264/46250]	Loss: 0.4639	LR: 0.020000
Training Epoch: 10 [11520/46250]	Loss: 0.4416	LR: 0.020000
Training Epoch: 10 [11776/46250]	Loss: 0.3811	LR: 0.020000
Training Epoch: 10 [12032/46250]	Loss: 0.4610	LR: 0.020000
Training Epoch: 10 [12288/46250]	Loss: 0.3184	LR: 0.020000
Training Epoch: 10 [12544/46250]	Loss: 0.2973	LR: 0.020000
Training Epoch: 10 [12800/46250]	Loss: 0.3724	LR: 0.020000
Training Epoch: 10 [13056/46250]	Loss: 0.4868	LR: 0.020000
Training Epoch: 10 [13312/46250]	Loss: 0.4245	LR: 0.020000
Training Epoch: 10 [13568/46250]	Loss: 0.3277	LR: 0.020000
Training Epoch: 10 [13824/46250]	Loss: 0.4943	LR: 0.020000
Training Epoch: 10 [14080/46250]	Loss: 0.4384	LR: 0.020000
Training Epoch: 10 [14336/46250]	Loss: 0.5303	LR: 0.020000
Training Epoch: 10 [14592/46250]	Loss: 0.5657	LR: 0.020000
Training Epoch: 10 [14848/46250]	Loss: 0.3936	LR: 0.020000
Training Epoch: 10 [15104/46250]	Loss: 0.4311	LR: 0.020000
Training Epoch: 10 [15360/46250]	Loss: 0.4514	LR: 0.020000
Training Epoch: 10 [15616/46250]	Loss: 0.3409	LR: 0.020000
Training Epoch: 10 [15872/46250]	Loss: 0.4442	LR: 0.020000
Training Epoch: 10 [16128/46250]	Loss: 0.4840	LR: 0.020000
Training Epoch: 10 [16384/46250]	Loss: 0.4925	LR: 0.020000
Training Epoch: 10 [16640/46250]	Loss: 0.4109	LR: 0.020000
Training Epoch: 10 [16896/46250]	Loss: 0.3887	LR: 0.020000
Training Epoch: 10 [17152/46250]	Loss: 0.4221	LR: 0.020000
Training Epoch: 10 [17408/46250]	Loss: 0.4450	LR: 0.020000
Training Epoch: 10 [17664/46250]	Loss: 0.3819	LR: 0.020000
Training Epoch: 10 [17920/46250]	Loss: 0.3830	LR: 0.020000
Training Epoch: 10 [18176/46250]	Loss: 0.3488	LR: 0.020000
Training Epoch: 10 [18432/46250]	Loss: 0.4211	LR: 0.020000
Training Epoch: 10 [18688/46250]	Loss: 0.4506	LR: 0.020000
Training Epoch: 10 [18944/46250]	Loss: 0.4934	LR: 0.020000
Training Epoch: 10 [19200/46250]	Loss: 0.4501	LR: 0.020000
Training Epoch: 10 [19456/46250]	Loss: 0.4391	LR: 0.020000
Training Epoch: 10 [19712/46250]	Loss: 0.3653	LR: 0.020000
Training Epoch: 10 [19968/46250]	Loss: 0.4863	LR: 0.020000
Training Epoch: 10 [20224/46250]	Loss: 0.4118	LR: 0.020000
Training Epoch: 10 [20480/46250]	Loss: 0.4209	LR: 0.020000
Training Epoch: 10 [20736/46250]	Loss: 0.2675	LR: 0.020000
Training Epoch: 10 [20992/46250]	Loss: 0.3623	LR: 0.020000
Training Epoch: 10 [21248/46250]	Loss: 0.3885	LR: 0.020000
Training Epoch: 10 [21504/46250]	Loss: 0.3970	LR: 0.020000
Training Epoch: 10 [21760/46250]	Loss: 0.4535	LR: 0.020000
Training Epoch: 10 [22016/46250]	Loss: 0.4840	LR: 0.020000
Training Epoch: 10 [22272/46250]	Loss: 0.3661	LR: 0.020000
Training Epoch: 10 [22528/46250]	Loss: 0.4441	LR: 0.020000
Training Epoch: 10 [22784/46250]	Loss: 0.3668	LR: 0.020000
Training Epoch: 10 [23040/46250]	Loss: 0.4459	LR: 0.020000
Training Epoch: 10 [23296/46250]	Loss: 0.5254	LR: 0.020000
Training Epoch: 10 [23552/46250]	Loss: 0.4654	LR: 0.020000
Training Epoch: 10 [23808/46250]	Loss: 0.4145	LR: 0.020000
Training Epoch: 10 [24064/46250]	Loss: 0.4179	LR: 0.020000
Training Epoch: 10 [24320/46250]	Loss: 0.3989	LR: 0.020000
Training Epoch: 10 [24576/46250]	Loss: 0.4537	LR: 0.020000
Training Epoch: 10 [24832/46250]	Loss: 0.4504	LR: 0.020000
Training Epoch: 10 [25088/46250]	Loss: 0.4332	LR: 0.020000
Training Epoch: 10 [25344/46250]	Loss: 0.3906	LR: 0.020000
Training Epoch: 10 [25600/46250]	Loss: 0.4388	LR: 0.020000
Training Epoch: 10 [25856/46250]	Loss: 0.5118	LR: 0.020000
Training Epoch: 10 [26112/46250]	Loss: 0.4295	LR: 0.020000
Training Epoch: 10 [26368/46250]	Loss: 0.4501	LR: 0.020000
Training Epoch: 10 [26624/46250]	Loss: 0.4586	LR: 0.020000
Training Epoch: 10 [26880/46250]	Loss: 0.4842	LR: 0.020000
Training Epoch: 10 [27136/46250]	Loss: 0.4253	LR: 0.020000
Training Epoch: 10 [27392/46250]	Loss: 0.4888	LR: 0.020000
Training Epoch: 10 [27648/46250]	Loss: 0.3694	LR: 0.020000
Training Epoch: 10 [27904/46250]	Loss: 0.4023	LR: 0.020000
Training Epoch: 10 [28160/46250]	Loss: 0.4949	LR: 0.020000
Training Epoch: 10 [28416/46250]	Loss: 0.4049	LR: 0.020000
Training Epoch: 10 [28672/46250]	Loss: 0.4462	LR: 0.020000
Training Epoch: 10 [28928/46250]	Loss: 0.3822	LR: 0.020000
Training Epoch: 10 [29184/46250]	Loss: 0.4425	LR: 0.020000
Training Epoch: 10 [29440/46250]	Loss: 0.4990	LR: 0.020000
Training Epoch: 10 [29696/46250]	Loss: 0.3963	LR: 0.020000
Training Epoch: 10 [29952/46250]	Loss: 0.5117	LR: 0.020000
Training Epoch: 10 [30208/46250]	Loss: 0.4351	LR: 0.020000
Training Epoch: 10 [30464/46250]	Loss: 0.4229	LR: 0.020000
Training Epoch: 10 [30720/46250]	Loss: 0.3710	LR: 0.020000
Training Epoch: 10 [30976/46250]	Loss: 0.4849	LR: 0.020000
Training Epoch: 10 [31232/46250]	Loss: 0.3786	LR: 0.020000
Training Epoch: 10 [31488/46250]	Loss: 0.4441	LR: 0.020000
Training Epoch: 10 [31744/46250]	Loss: 0.3838	LR: 0.020000
Training Epoch: 10 [32000/46250]	Loss: 0.4329	LR: 0.020000
Training Epoch: 10 [32256/46250]	Loss: 0.4025	LR: 0.020000
Training Epoch: 10 [32512/46250]	Loss: 0.3845	LR: 0.020000
Training Epoch: 10 [32768/46250]	Loss: 0.3749	LR: 0.020000
Training Epoch: 10 [33024/46250]	Loss: 0.4131	LR: 0.020000
Training Epoch: 10 [33280/46250]	Loss: 0.4050	LR: 0.020000
Training Epoch: 10 [33536/46250]	Loss: 0.4150	LR: 0.020000
Training Epoch: 10 [33792/46250]	Loss: 0.3425	LR: 0.020000
Training Epoch: 10 [34048/46250]	Loss: 0.4152	LR: 0.020000
Training Epoch: 10 [34304/46250]	Loss: 0.3744	LR: 0.020000
Training Epoch: 10 [34560/46250]	Loss: 0.4614	LR: 0.020000
Training Epoch: 10 [34816/46250]	Loss: 0.4116	LR: 0.020000
Training Epoch: 10 [35072/46250]	Loss: 0.3991	LR: 0.020000
Training Epoch: 10 [35328/46250]	Loss: 0.4837	LR: 0.020000
Training Epoch: 10 [35584/46250]	Loss: 0.3787	LR: 0.020000
Training Epoch: 10 [35840/46250]	Loss: 0.4808	LR: 0.020000
Training Epoch: 10 [36096/46250]	Loss: 0.3511	LR: 0.020000
Training Epoch: 10 [36352/46250]	Loss: 0.4108	LR: 0.020000
Training Epoch: 10 [36608/46250]	Loss: 0.3846	LR: 0.020000
Training Epoch: 10 [36864/46250]	Loss: 0.4396	LR: 0.020000
Training Epoch: 10 [37120/46250]	Loss: 0.4480	LR: 0.020000
Training Epoch: 10 [37376/46250]	Loss: 0.4685	LR: 0.020000
Training Epoch: 10 [37632/46250]	Loss: 0.4407	LR: 0.020000
Training Epoch: 10 [37888/46250]	Loss: 0.4991	LR: 0.020000
Training Epoch: 10 [38144/46250]	Loss: 0.4343	LR: 0.020000
Training Epoch: 10 [38400/46250]	Loss: 0.3926	LR: 0.020000
Training Epoch: 10 [38656/46250]	Loss: 0.4289	LR: 0.020000
Training Epoch: 10 [38912/46250]	Loss: 0.4496	LR: 0.020000
Training Epoch: 10 [39168/46250]	Loss: 0.5009	LR: 0.020000
Training Epoch: 10 [39424/46250]	Loss: 0.3924	LR: 0.020000
Training Epoch: 10 [39680/46250]	Loss: 0.4250	LR: 0.020000
Training Epoch: 10 [39936/46250]	Loss: 0.3873	LR: 0.020000
Training Epoch: 10 [40192/46250]	Loss: 0.3872	LR: 0.020000
Training Epoch: 10 [40448/46250]	Loss: 0.4466	LR: 0.020000
Training Epoch: 10 [40704/46250]	Loss: 0.4550	LR: 0.020000
Training Epoch: 10 [40960/46250]	Loss: 0.3527	LR: 0.020000
Training Epoch: 10 [41216/46250]	Loss: 0.3849	LR: 0.020000
Training Epoch: 10 [41472/46250]	Loss: 0.4609	LR: 0.020000
Training Epoch: 10 [41728/46250]	Loss: 0.3905	LR: 0.020000
Training Epoch: 10 [41984/46250]	Loss: 0.4224	LR: 0.020000
Training Epoch: 10 [42240/46250]	Loss: 0.4914	LR: 0.020000
Training Epoch: 10 [42496/46250]	Loss: 0.4418	LR: 0.020000
Training Epoch: 10 [42752/46250]	Loss: 0.3460	LR: 0.020000
Training Epoch: 10 [43008/46250]	Loss: 0.4326	LR: 0.020000
Training Epoch: 10 [43264/46250]	Loss: 0.3598	LR: 0.020000
Training Epoch: 10 [43520/46250]	Loss: 0.4408	LR: 0.020000
Training Epoch: 10 [43776/46250]	Loss: 0.3900	LR: 0.020000
Training Epoch: 10 [44032/46250]	Loss: 0.4183	LR: 0.020000
Training Epoch: 10 [44288/46250]	Loss: 0.4371	LR: 0.020000
Training Epoch: 10 [44544/46250]	Loss: 0.4599	LR: 0.020000
Training Epoch: 10 [44800/46250]	Loss: 0.3716	LR: 0.020000
Training Epoch: 10 [45056/46250]	Loss: 0.3894	LR: 0.020000
Training Epoch: 10 [45312/46250]	Loss: 0.3884	LR: 0.020000
Training Epoch: 10 [45568/46250]	Loss: 0.5362	LR: 0.020000
Training Epoch: 10 [45824/46250]	Loss: 0.3319	LR: 0.020000
Training Epoch: 10 [46080/46250]	Loss: 0.3601	LR: 0.020000
Training Epoch: 10 [46250/46250]	Loss: 0.4508	LR: 0.020000
Epoch 10 - Average Train Loss: 0.4207, Train Accuracy: 0.8551
Epoch 10 training time consumed: 25.41s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0017, Accuracy: 0.8492, Time consumed:0.99s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_21h_58m_05s/AllCNN-Cifar10-seed10-ret25-10-best.pth
Training Epoch: 11 [256/46250]	Loss: 0.3955	LR: 0.020000
Training Epoch: 11 [512/46250]	Loss: 0.3396	LR: 0.020000
Training Epoch: 11 [768/46250]	Loss: 0.4476	LR: 0.020000
Training Epoch: 11 [1024/46250]	Loss: 0.3940	LR: 0.020000
Training Epoch: 11 [1280/46250]	Loss: 0.4584	LR: 0.020000
Training Epoch: 11 [1536/46250]	Loss: 0.4389	LR: 0.020000
Training Epoch: 11 [1792/46250]	Loss: 0.4011	LR: 0.020000
Training Epoch: 11 [2048/46250]	Loss: 0.3985	LR: 0.020000
Training Epoch: 11 [2304/46250]	Loss: 0.4211	LR: 0.020000
Training Epoch: 11 [2560/46250]	Loss: 0.4313	LR: 0.020000
Training Epoch: 11 [2816/46250]	Loss: 0.4254	LR: 0.020000
Training Epoch: 11 [3072/46250]	Loss: 0.3615	LR: 0.020000
Training Epoch: 11 [3328/46250]	Loss: 0.4769	LR: 0.020000
Training Epoch: 11 [3584/46250]	Loss: 0.4577	LR: 0.020000
Training Epoch: 11 [3840/46250]	Loss: 0.4451	LR: 0.020000
Training Epoch: 11 [4096/46250]	Loss: 0.3318	LR: 0.020000
Training Epoch: 11 [4352/46250]	Loss: 0.4721	LR: 0.020000
Training Epoch: 11 [4608/46250]	Loss: 0.3527	LR: 0.020000
Training Epoch: 11 [4864/46250]	Loss: 0.4046	LR: 0.020000
Training Epoch: 11 [5120/46250]	Loss: 0.4729	LR: 0.020000
Training Epoch: 11 [5376/46250]	Loss: 0.4314	LR: 0.020000
Training Epoch: 11 [5632/46250]	Loss: 0.4178	LR: 0.020000
Training Epoch: 11 [5888/46250]	Loss: 0.4367	LR: 0.020000
Training Epoch: 11 [6144/46250]	Loss: 0.3361	LR: 0.020000
Training Epoch: 11 [6400/46250]	Loss: 0.4451	LR: 0.020000
Training Epoch: 11 [6656/46250]	Loss: 0.4003	LR: 0.020000
Training Epoch: 11 [6912/46250]	Loss: 0.4061	LR: 0.020000
Training Epoch: 11 [7168/46250]	Loss: 0.3921	LR: 0.020000
Training Epoch: 11 [7424/46250]	Loss: 0.3933	LR: 0.020000
Training Epoch: 11 [7680/46250]	Loss: 0.3312	LR: 0.020000
Training Epoch: 11 [7936/46250]	Loss: 0.3415	LR: 0.020000
Training Epoch: 11 [8192/46250]	Loss: 0.3574	LR: 0.020000
Training Epoch: 11 [8448/46250]	Loss: 0.4043	LR: 0.020000
Training Epoch: 11 [8704/46250]	Loss: 0.4187	LR: 0.020000
Training Epoch: 11 [8960/46250]	Loss: 0.4428	LR: 0.020000
Training Epoch: 11 [9216/46250]	Loss: 0.4405	LR: 0.020000
Training Epoch: 11 [9472/46250]	Loss: 0.4546	LR: 0.020000
Training Epoch: 11 [9728/46250]	Loss: 0.5421	LR: 0.020000
Training Epoch: 11 [9984/46250]	Loss: 0.4254	LR: 0.020000
Training Epoch: 11 [10240/46250]	Loss: 0.4004	LR: 0.020000
Training Epoch: 11 [10496/46250]	Loss: 0.3109	LR: 0.020000
Training Epoch: 11 [10752/46250]	Loss: 0.4101	LR: 0.020000
Training Epoch: 11 [11008/46250]	Loss: 0.5282	LR: 0.020000
Training Epoch: 11 [11264/46250]	Loss: 0.3864	LR: 0.020000
Training Epoch: 11 [11520/46250]	Loss: 0.4553	LR: 0.020000
Training Epoch: 11 [11776/46250]	Loss: 0.4287	LR: 0.020000
Training Epoch: 11 [12032/46250]	Loss: 0.4132	LR: 0.020000
Training Epoch: 11 [12288/46250]	Loss: 0.3868	LR: 0.020000
Training Epoch: 11 [12544/46250]	Loss: 0.3775	LR: 0.020000
Training Epoch: 11 [12800/46250]	Loss: 0.4019	LR: 0.020000
Training Epoch: 11 [13056/46250]	Loss: 0.4258	LR: 0.020000
Training Epoch: 11 [13312/46250]	Loss: 0.4075	LR: 0.020000
Training Epoch: 11 [13568/46250]	Loss: 0.3765	LR: 0.020000
Training Epoch: 11 [13824/46250]	Loss: 0.4414	LR: 0.020000
Training Epoch: 11 [14080/46250]	Loss: 0.3674	LR: 0.020000
Training Epoch: 11 [14336/46250]	Loss: 0.4746	LR: 0.020000
Training Epoch: 11 [14592/46250]	Loss: 0.3916	LR: 0.020000
Training Epoch: 11 [14848/46250]	Loss: 0.4024	LR: 0.020000
Training Epoch: 11 [15104/46250]	Loss: 0.4726	LR: 0.020000
Training Epoch: 11 [15360/46250]	Loss: 0.3610	LR: 0.020000
Training Epoch: 11 [15616/46250]	Loss: 0.4021	LR: 0.020000
Training Epoch: 11 [15872/46250]	Loss: 0.3716	LR: 0.020000
Training Epoch: 11 [16128/46250]	Loss: 0.3714	LR: 0.020000
Training Epoch: 11 [16384/46250]	Loss: 0.4195	LR: 0.020000
Training Epoch: 11 [16640/46250]	Loss: 0.4647	LR: 0.020000
Training Epoch: 11 [16896/46250]	Loss: 0.4478	LR: 0.020000
Training Epoch: 11 [17152/46250]	Loss: 0.3946	LR: 0.020000
Training Epoch: 11 [17408/46250]	Loss: 0.3992	LR: 0.020000
Training Epoch: 11 [17664/46250]	Loss: 0.3970	LR: 0.020000
Training Epoch: 11 [17920/46250]	Loss: 0.3943	LR: 0.020000
Training Epoch: 11 [18176/46250]	Loss: 0.3456	LR: 0.020000
Training Epoch: 11 [18432/46250]	Loss: 0.3437	LR: 0.020000
Training Epoch: 11 [18688/46250]	Loss: 0.3838	LR: 0.020000
Training Epoch: 11 [18944/46250]	Loss: 0.3745	LR: 0.020000
Training Epoch: 11 [19200/46250]	Loss: 0.4273	LR: 0.020000
Training Epoch: 11 [19456/46250]	Loss: 0.3733	LR: 0.020000
Training Epoch: 11 [19712/46250]	Loss: 0.4458	LR: 0.020000
Training Epoch: 11 [19968/46250]	Loss: 0.5320	LR: 0.020000
Training Epoch: 11 [20224/46250]	Loss: 0.3708	LR: 0.020000
Training Epoch: 11 [20480/46250]	Loss: 0.4124	LR: 0.020000
Training Epoch: 11 [20736/46250]	Loss: 0.5122	LR: 0.020000
Training Epoch: 11 [20992/46250]	Loss: 0.3757	LR: 0.020000
Training Epoch: 11 [21248/46250]	Loss: 0.4627	LR: 0.020000
Training Epoch: 11 [21504/46250]	Loss: 0.3558	LR: 0.020000
Training Epoch: 11 [21760/46250]	Loss: 0.3799	LR: 0.020000
Training Epoch: 11 [22016/46250]	Loss: 0.4312	LR: 0.020000
Training Epoch: 11 [22272/46250]	Loss: 0.3807	LR: 0.020000
Training Epoch: 11 [22528/46250]	Loss: 0.3134	LR: 0.020000
Training Epoch: 11 [22784/46250]	Loss: 0.5158	LR: 0.020000
Training Epoch: 11 [23040/46250]	Loss: 0.4229	LR: 0.020000
Training Epoch: 11 [23296/46250]	Loss: 0.4015	LR: 0.020000
Training Epoch: 11 [23552/46250]	Loss: 0.4762	LR: 0.020000
Training Epoch: 11 [23808/46250]	Loss: 0.3762	LR: 0.020000
Training Epoch: 11 [24064/46250]	Loss: 0.2978	LR: 0.020000
Training Epoch: 11 [24320/46250]	Loss: 0.3594	LR: 0.020000
Training Epoch: 11 [24576/46250]	Loss: 0.4090	LR: 0.020000
Training Epoch: 11 [24832/46250]	Loss: 0.4102	LR: 0.020000
Training Epoch: 11 [25088/46250]	Loss: 0.4147	LR: 0.020000
Training Epoch: 11 [25344/46250]	Loss: 0.4211	LR: 0.020000
Training Epoch: 11 [25600/46250]	Loss: 0.4304	LR: 0.020000
Training Epoch: 11 [25856/46250]	Loss: 0.3502	LR: 0.020000
Training Epoch: 11 [26112/46250]	Loss: 0.4118	LR: 0.020000
Training Epoch: 11 [26368/46250]	Loss: 0.3785	LR: 0.020000
Training Epoch: 11 [26624/46250]	Loss: 0.4598	LR: 0.020000
Training Epoch: 11 [26880/46250]	Loss: 0.4741	LR: 0.020000
Training Epoch: 11 [27136/46250]	Loss: 0.3846	LR: 0.020000
Training Epoch: 11 [27392/46250]	Loss: 0.3807	LR: 0.020000
Training Epoch: 11 [27648/46250]	Loss: 0.3967	LR: 0.020000
Training Epoch: 11 [27904/46250]	Loss: 0.4226	LR: 0.020000
Training Epoch: 11 [28160/46250]	Loss: 0.4535	LR: 0.020000
Training Epoch: 11 [28416/46250]	Loss: 0.4447	LR: 0.020000
Training Epoch: 11 [28672/46250]	Loss: 0.3608	LR: 0.020000
Training Epoch: 11 [28928/46250]	Loss: 0.3681	LR: 0.020000
Training Epoch: 11 [29184/46250]	Loss: 0.4463	LR: 0.020000
Training Epoch: 11 [29440/46250]	Loss: 0.3752	LR: 0.020000
Training Epoch: 11 [29696/46250]	Loss: 0.3377	LR: 0.020000
Training Epoch: 11 [29952/46250]	Loss: 0.4681	LR: 0.020000
Training Epoch: 11 [30208/46250]	Loss: 0.3322	LR: 0.020000
Training Epoch: 11 [30464/46250]	Loss: 0.4517	LR: 0.020000
Training Epoch: 11 [30720/46250]	Loss: 0.3278	LR: 0.020000
Training Epoch: 11 [30976/46250]	Loss: 0.3838	LR: 0.020000
Training Epoch: 11 [31232/46250]	Loss: 0.3897	LR: 0.020000
Training Epoch: 11 [31488/46250]	Loss: 0.3214	LR: 0.020000
Training Epoch: 11 [31744/46250]	Loss: 0.4218	LR: 0.020000
Training Epoch: 11 [32000/46250]	Loss: 0.3391	LR: 0.020000
Training Epoch: 11 [32256/46250]	Loss: 0.4806	LR: 0.020000
Training Epoch: 11 [32512/46250]	Loss: 0.3500	LR: 0.020000
Training Epoch: 11 [32768/46250]	Loss: 0.4416	LR: 0.020000
Training Epoch: 11 [33024/46250]	Loss: 0.3839	LR: 0.020000
Training Epoch: 11 [33280/46250]	Loss: 0.4109	LR: 0.020000
Training Epoch: 11 [33536/46250]	Loss: 0.4843	LR: 0.020000
Training Epoch: 11 [33792/46250]	Loss: 0.4782	LR: 0.020000
Training Epoch: 11 [34048/46250]	Loss: 0.5053	LR: 0.020000
Training Epoch: 11 [34304/46250]	Loss: 0.3791	LR: 0.020000
Training Epoch: 11 [34560/46250]	Loss: 0.4520	LR: 0.020000
Training Epoch: 11 [34816/46250]	Loss: 0.4975	LR: 0.020000
Training Epoch: 11 [35072/46250]	Loss: 0.3351	LR: 0.020000
Training Epoch: 11 [35328/46250]	Loss: 0.4135	LR: 0.020000
Training Epoch: 11 [35584/46250]	Loss: 0.4566	LR: 0.020000
Training Epoch: 11 [35840/46250]	Loss: 0.4511	LR: 0.020000
Training Epoch: 11 [36096/46250]	Loss: 0.3962	LR: 0.020000
Training Epoch: 11 [36352/46250]	Loss: 0.4737	LR: 0.020000
Training Epoch: 11 [36608/46250]	Loss: 0.3546	LR: 0.020000
Training Epoch: 11 [36864/46250]	Loss: 0.4748	LR: 0.020000
Training Epoch: 11 [37120/46250]	Loss: 0.4625	LR: 0.020000
Training Epoch: 11 [37376/46250]	Loss: 0.3680	LR: 0.020000
Training Epoch: 11 [37632/46250]	Loss: 0.4340	LR: 0.020000
Training Epoch: 11 [37888/46250]	Loss: 0.3548	LR: 0.020000
Training Epoch: 11 [38144/46250]	Loss: 0.4337	LR: 0.020000
Training Epoch: 11 [38400/46250]	Loss: 0.4986	LR: 0.020000
Training Epoch: 11 [38656/46250]	Loss: 0.4669	LR: 0.020000
Training Epoch: 11 [38912/46250]	Loss: 0.3359	LR: 0.020000
Training Epoch: 11 [39168/46250]	Loss: 0.3571	LR: 0.020000
Training Epoch: 11 [39424/46250]	Loss: 0.3646	LR: 0.020000
Training Epoch: 11 [39680/46250]	Loss: 0.3724	LR: 0.020000
Training Epoch: 11 [39936/46250]	Loss: 0.3889	LR: 0.020000
Training Epoch: 11 [40192/46250]	Loss: 0.5315	LR: 0.020000
Training Epoch: 11 [40448/46250]	Loss: 0.3738	LR: 0.020000
Training Epoch: 11 [40704/46250]	Loss: 0.4308	LR: 0.020000
Training Epoch: 11 [40960/46250]	Loss: 0.4448	LR: 0.020000
Training Epoch: 11 [41216/46250]	Loss: 0.2772	LR: 0.020000
Training Epoch: 11 [41472/46250]	Loss: 0.3692	LR: 0.020000
Training Epoch: 11 [41728/46250]	Loss: 0.4174	LR: 0.020000
Training Epoch: 11 [41984/46250]	Loss: 0.4177	LR: 0.020000
Training Epoch: 11 [42240/46250]	Loss: 0.3913	LR: 0.020000
Training Epoch: 11 [42496/46250]	Loss: 0.3804	LR: 0.020000
Training Epoch: 11 [42752/46250]	Loss: 0.3643	LR: 0.020000
Training Epoch: 11 [43008/46250]	Loss: 0.3940	LR: 0.020000
Training Epoch: 11 [43264/46250]	Loss: 0.3346	LR: 0.020000
Training Epoch: 11 [43520/46250]	Loss: 0.4514	LR: 0.020000
Training Epoch: 11 [43776/46250]	Loss: 0.4691	LR: 0.020000
Training Epoch: 11 [44032/46250]	Loss: 0.4043	LR: 0.020000
Training Epoch: 11 [44288/46250]	Loss: 0.3562	LR: 0.020000
Training Epoch: 11 [44544/46250]	Loss: 0.4309	LR: 0.020000
Training Epoch: 11 [44800/46250]	Loss: 0.3779	LR: 0.020000
Training Epoch: 11 [45056/46250]	Loss: 0.3862	LR: 0.020000
Training Epoch: 11 [45312/46250]	Loss: 0.5126	LR: 0.020000
Training Epoch: 11 [45568/46250]	Loss: 0.4320	LR: 0.020000
Training Epoch: 11 [45824/46250]	Loss: 0.3980	LR: 0.020000
Training Epoch: 11 [46080/46250]	Loss: 0.4561	LR: 0.020000
Training Epoch: 11 [46250/46250]	Loss: 0.3794	LR: 0.020000
Epoch 11 - Average Train Loss: 0.4094, Train Accuracy: 0.8599
Epoch 11 training time consumed: 25.45s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0017, Accuracy: 0.8510, Time consumed:0.90s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_21h_58m_05s/AllCNN-Cifar10-seed10-ret25-11-best.pth
Training Epoch: 12 [256/46250]	Loss: 0.3373	LR: 0.004000
Training Epoch: 12 [512/46250]	Loss: 0.3328	LR: 0.004000
Training Epoch: 12 [768/46250]	Loss: 0.4141	LR: 0.004000
Training Epoch: 12 [1024/46250]	Loss: 0.3611	LR: 0.004000
Training Epoch: 12 [1280/46250]	Loss: 0.4617	LR: 0.004000
Training Epoch: 12 [1536/46250]	Loss: 0.2808	LR: 0.004000
Training Epoch: 12 [1792/46250]	Loss: 0.2917	LR: 0.004000
Training Epoch: 12 [2048/46250]	Loss: 0.3328	LR: 0.004000
Training Epoch: 12 [2304/46250]	Loss: 0.3525	LR: 0.004000
Training Epoch: 12 [2560/46250]	Loss: 0.3981	LR: 0.004000
Training Epoch: 12 [2816/46250]	Loss: 0.4264	LR: 0.004000
Training Epoch: 12 [3072/46250]	Loss: 0.4131	LR: 0.004000
Training Epoch: 12 [3328/46250]	Loss: 0.4233	LR: 0.004000
Training Epoch: 12 [3584/46250]	Loss: 0.3569	LR: 0.004000
Training Epoch: 12 [3840/46250]	Loss: 0.3622	LR: 0.004000
Training Epoch: 12 [4096/46250]	Loss: 0.4561	LR: 0.004000
Training Epoch: 12 [4352/46250]	Loss: 0.3395	LR: 0.004000
Training Epoch: 12 [4608/46250]	Loss: 0.3859	LR: 0.004000
Training Epoch: 12 [4864/46250]	Loss: 0.3937	LR: 0.004000
Training Epoch: 12 [5120/46250]	Loss: 0.3381	LR: 0.004000
Training Epoch: 12 [5376/46250]	Loss: 0.3553	LR: 0.004000
Training Epoch: 12 [5632/46250]	Loss: 0.3367	LR: 0.004000
Training Epoch: 12 [5888/46250]	Loss: 0.3874	LR: 0.004000
Training Epoch: 12 [6144/46250]	Loss: 0.4236	LR: 0.004000
Training Epoch: 12 [6400/46250]	Loss: 0.3710	LR: 0.004000
Training Epoch: 12 [6656/46250]	Loss: 0.3659	LR: 0.004000
Training Epoch: 12 [6912/46250]	Loss: 0.3859	LR: 0.004000
Training Epoch: 12 [7168/46250]	Loss: 0.3821	LR: 0.004000
Training Epoch: 12 [7424/46250]	Loss: 0.3515	LR: 0.004000
Training Epoch: 12 [7680/46250]	Loss: 0.3381	LR: 0.004000
Training Epoch: 12 [7936/46250]	Loss: 0.4390	LR: 0.004000
Training Epoch: 12 [8192/46250]	Loss: 0.3512	LR: 0.004000
Training Epoch: 12 [8448/46250]	Loss: 0.3909	LR: 0.004000
Training Epoch: 12 [8704/46250]	Loss: 0.3229	LR: 0.004000
Training Epoch: 12 [8960/46250]	Loss: 0.3844	LR: 0.004000
Training Epoch: 12 [9216/46250]	Loss: 0.3032	LR: 0.004000
Training Epoch: 12 [9472/46250]	Loss: 0.3370	LR: 0.004000
Training Epoch: 12 [9728/46250]	Loss: 0.3717	LR: 0.004000
Training Epoch: 12 [9984/46250]	Loss: 0.3387	LR: 0.004000
Training Epoch: 12 [10240/46250]	Loss: 0.3489	LR: 0.004000
Training Epoch: 12 [10496/46250]	Loss: 0.2769	LR: 0.004000
Training Epoch: 12 [10752/46250]	Loss: 0.4089	LR: 0.004000
Training Epoch: 12 [11008/46250]	Loss: 0.3294	LR: 0.004000
Training Epoch: 12 [11264/46250]	Loss: 0.3770	LR: 0.004000
Training Epoch: 12 [11520/46250]	Loss: 0.3797	LR: 0.004000
Training Epoch: 12 [11776/46250]	Loss: 0.3718	LR: 0.004000
Training Epoch: 12 [12032/46250]	Loss: 0.4309	LR: 0.004000
Training Epoch: 12 [12288/46250]	Loss: 0.3241	LR: 0.004000
Training Epoch: 12 [12544/46250]	Loss: 0.3214	LR: 0.004000
Training Epoch: 12 [12800/46250]	Loss: 0.3347	LR: 0.004000
Training Epoch: 12 [13056/46250]	Loss: 0.4327	LR: 0.004000
Training Epoch: 12 [13312/46250]	Loss: 0.3217	LR: 0.004000
Training Epoch: 12 [13568/46250]	Loss: 0.4015	LR: 0.004000
Training Epoch: 12 [13824/46250]	Loss: 0.3213	LR: 0.004000
Training Epoch: 12 [14080/46250]	Loss: 0.3481	LR: 0.004000
Training Epoch: 12 [14336/46250]	Loss: 0.3737	LR: 0.004000
Training Epoch: 12 [14592/46250]	Loss: 0.3464	LR: 0.004000
Training Epoch: 12 [14848/46250]	Loss: 0.3197	LR: 0.004000
Training Epoch: 12 [15104/46250]	Loss: 0.3046	LR: 0.004000
Training Epoch: 12 [15360/46250]	Loss: 0.3159	LR: 0.004000
Training Epoch: 12 [15616/46250]	Loss: 0.3576	LR: 0.004000
Training Epoch: 12 [15872/46250]	Loss: 0.3082	LR: 0.004000
Training Epoch: 12 [16128/46250]	Loss: 0.3796	LR: 0.004000
Training Epoch: 12 [16384/46250]	Loss: 0.3255	LR: 0.004000
Training Epoch: 12 [16640/46250]	Loss: 0.3455	LR: 0.004000
Training Epoch: 12 [16896/46250]	Loss: 0.3307	LR: 0.004000
Training Epoch: 12 [17152/46250]	Loss: 0.3283	LR: 0.004000
Training Epoch: 12 [17408/46250]	Loss: 0.2799	LR: 0.004000
Training Epoch: 12 [17664/46250]	Loss: 0.3500	LR: 0.004000
Training Epoch: 12 [17920/46250]	Loss: 0.3923	LR: 0.004000
Training Epoch: 12 [18176/46250]	Loss: 0.4050	LR: 0.004000
Training Epoch: 12 [18432/46250]	Loss: 0.3058	LR: 0.004000
Training Epoch: 12 [18688/46250]	Loss: 0.3535	LR: 0.004000
Training Epoch: 12 [18944/46250]	Loss: 0.3534	LR: 0.004000
Training Epoch: 12 [19200/46250]	Loss: 0.3244	LR: 0.004000
Training Epoch: 12 [19456/46250]	Loss: 0.4632	LR: 0.004000
Training Epoch: 12 [19712/46250]	Loss: 0.3575	LR: 0.004000
Training Epoch: 12 [19968/46250]	Loss: 0.3228	LR: 0.004000
Training Epoch: 12 [20224/46250]	Loss: 0.3705	LR: 0.004000
Training Epoch: 12 [20480/46250]	Loss: 0.3370	LR: 0.004000
Training Epoch: 12 [20736/46250]	Loss: 0.2994	LR: 0.004000
Training Epoch: 12 [20992/46250]	Loss: 0.3831	LR: 0.004000
Training Epoch: 12 [21248/46250]	Loss: 0.4275	LR: 0.004000
Training Epoch: 12 [21504/46250]	Loss: 0.3683	LR: 0.004000
Training Epoch: 12 [21760/46250]	Loss: 0.2993	LR: 0.004000
Training Epoch: 12 [22016/46250]	Loss: 0.3292	LR: 0.004000
Training Epoch: 12 [22272/46250]	Loss: 0.3905	LR: 0.004000
Training Epoch: 12 [22528/46250]	Loss: 0.4292	LR: 0.004000
Training Epoch: 12 [22784/46250]	Loss: 0.3618	LR: 0.004000
Training Epoch: 12 [23040/46250]	Loss: 0.3658	LR: 0.004000
Training Epoch: 12 [23296/46250]	Loss: 0.3587	LR: 0.004000
Training Epoch: 12 [23552/46250]	Loss: 0.3513	LR: 0.004000
Training Epoch: 12 [23808/46250]	Loss: 0.2856	LR: 0.004000
Training Epoch: 12 [24064/46250]	Loss: 0.4262	LR: 0.004000
Training Epoch: 12 [24320/46250]	Loss: 0.4050	LR: 0.004000
Training Epoch: 12 [24576/46250]	Loss: 0.3737	LR: 0.004000
Training Epoch: 12 [24832/46250]	Loss: 0.3825	LR: 0.004000
Training Epoch: 12 [25088/46250]	Loss: 0.3395	LR: 0.004000
Training Epoch: 12 [25344/46250]	Loss: 0.3310	LR: 0.004000
Training Epoch: 12 [25600/46250]	Loss: 0.3052	LR: 0.004000
Training Epoch: 12 [25856/46250]	Loss: 0.3848	LR: 0.004000
Training Epoch: 12 [26112/46250]	Loss: 0.4359	LR: 0.004000
Training Epoch: 12 [26368/46250]	Loss: 0.3460	LR: 0.004000
Training Epoch: 12 [26624/46250]	Loss: 0.4292	LR: 0.004000
Training Epoch: 12 [26880/46250]	Loss: 0.2657	LR: 0.004000
Training Epoch: 12 [27136/46250]	Loss: 0.2665	LR: 0.004000
Training Epoch: 12 [27392/46250]	Loss: 0.3673	LR: 0.004000
Training Epoch: 12 [27648/46250]	Loss: 0.3562	LR: 0.004000
Training Epoch: 12 [27904/46250]	Loss: 0.3285	LR: 0.004000
Training Epoch: 12 [28160/46250]	Loss: 0.3181	LR: 0.004000
Training Epoch: 12 [28416/46250]	Loss: 0.4121	LR: 0.004000
Training Epoch: 12 [28672/46250]	Loss: 0.4347	LR: 0.004000
Training Epoch: 12 [28928/46250]	Loss: 0.3147	LR: 0.004000
Training Epoch: 12 [29184/46250]	Loss: 0.3363	LR: 0.004000
Training Epoch: 12 [29440/46250]	Loss: 0.2736	LR: 0.004000
Training Epoch: 12 [29696/46250]	Loss: 0.3018	LR: 0.004000
Training Epoch: 12 [29952/46250]	Loss: 0.3825	LR: 0.004000
Training Epoch: 12 [30208/46250]	Loss: 0.4276	LR: 0.004000
Training Epoch: 12 [30464/46250]	Loss: 0.3083	LR: 0.004000
Training Epoch: 12 [30720/46250]	Loss: 0.4158	LR: 0.004000
Training Epoch: 12 [30976/46250]	Loss: 0.3858	LR: 0.004000
Training Epoch: 12 [31232/46250]	Loss: 0.3885	LR: 0.004000
Training Epoch: 12 [31488/46250]	Loss: 0.4865	LR: 0.004000
Training Epoch: 12 [31744/46250]	Loss: 0.3044	LR: 0.004000
Training Epoch: 12 [32000/46250]	Loss: 0.3399	LR: 0.004000
Training Epoch: 12 [32256/46250]	Loss: 0.3741	LR: 0.004000
Training Epoch: 12 [32512/46250]	Loss: 0.3916	LR: 0.004000
Training Epoch: 12 [32768/46250]	Loss: 0.3785	LR: 0.004000
Training Epoch: 12 [33024/46250]	Loss: 0.3407	LR: 0.004000
Training Epoch: 12 [33280/46250]	Loss: 0.3377	LR: 0.004000
Training Epoch: 12 [33536/46250]	Loss: 0.3298	LR: 0.004000
Training Epoch: 12 [33792/46250]	Loss: 0.3090	LR: 0.004000
Training Epoch: 12 [34048/46250]	Loss: 0.3559	LR: 0.004000
Training Epoch: 12 [34304/46250]	Loss: 0.3810	LR: 0.004000
Training Epoch: 12 [34560/46250]	Loss: 0.3114	LR: 0.004000
Training Epoch: 12 [34816/46250]	Loss: 0.3975	LR: 0.004000
Training Epoch: 12 [35072/46250]	Loss: 0.3827	LR: 0.004000
Training Epoch: 12 [35328/46250]	Loss: 0.3068	LR: 0.004000
Training Epoch: 12 [35584/46250]	Loss: 0.3855	LR: 0.004000
Training Epoch: 12 [35840/46250]	Loss: 0.3583	LR: 0.004000
Training Epoch: 12 [36096/46250]	Loss: 0.2738	LR: 0.004000
Training Epoch: 12 [36352/46250]	Loss: 0.2929	LR: 0.004000
Training Epoch: 12 [36608/46250]	Loss: 0.4344	LR: 0.004000
Training Epoch: 12 [36864/46250]	Loss: 0.3691	LR: 0.004000
Training Epoch: 12 [37120/46250]	Loss: 0.3793	LR: 0.004000
Training Epoch: 12 [37376/46250]	Loss: 0.3023	LR: 0.004000
Training Epoch: 12 [37632/46250]	Loss: 0.3638	LR: 0.004000
Training Epoch: 12 [37888/46250]	Loss: 0.2937	LR: 0.004000
Training Epoch: 12 [38144/46250]	Loss: 0.4420	LR: 0.004000
Training Epoch: 12 [38400/46250]	Loss: 0.3375	LR: 0.004000
Training Epoch: 12 [38656/46250]	Loss: 0.3413	LR: 0.004000
Training Epoch: 12 [38912/46250]	Loss: 0.3616	LR: 0.004000
Training Epoch: 12 [39168/46250]	Loss: 0.3812	LR: 0.004000
Training Epoch: 12 [39424/46250]	Loss: 0.3498	LR: 0.004000
Training Epoch: 12 [39680/46250]	Loss: 0.3909	LR: 0.004000
Training Epoch: 12 [39936/46250]	Loss: 0.3741	LR: 0.004000
Training Epoch: 12 [40192/46250]	Loss: 0.3801	LR: 0.004000
Training Epoch: 12 [40448/46250]	Loss: 0.2677	LR: 0.004000
Training Epoch: 12 [40704/46250]	Loss: 0.3192	LR: 0.004000
Training Epoch: 12 [40960/46250]	Loss: 0.2803	LR: 0.004000
Training Epoch: 12 [41216/46250]	Loss: 0.3470	LR: 0.004000
Training Epoch: 12 [41472/46250]	Loss: 0.3425	LR: 0.004000
Training Epoch: 12 [41728/46250]	Loss: 0.3801	LR: 0.004000
Training Epoch: 12 [41984/46250]	Loss: 0.2712	LR: 0.004000
Training Epoch: 12 [42240/46250]	Loss: 0.3512	LR: 0.004000
Training Epoch: 12 [42496/46250]	Loss: 0.3533	LR: 0.004000
Training Epoch: 12 [42752/46250]	Loss: 0.3417	LR: 0.004000
Training Epoch: 12 [43008/46250]	Loss: 0.3728	LR: 0.004000
Training Epoch: 12 [43264/46250]	Loss: 0.3679	LR: 0.004000
Training Epoch: 12 [43520/46250]	Loss: 0.4022	LR: 0.004000
Training Epoch: 12 [43776/46250]	Loss: 0.4012	LR: 0.004000
Training Epoch: 12 [44032/46250]	Loss: 0.3208	LR: 0.004000
Training Epoch: 12 [44288/46250]	Loss: 0.2753	LR: 0.004000
Training Epoch: 12 [44544/46250]	Loss: 0.3645	LR: 0.004000
Training Epoch: 12 [44800/46250]	Loss: 0.3571	LR: 0.004000
Training Epoch: 12 [45056/46250]	Loss: 0.3589	LR: 0.004000
Training Epoch: 12 [45312/46250]	Loss: 0.3588	LR: 0.004000
Training Epoch: 12 [45568/46250]	Loss: 0.3368	LR: 0.004000
Training Epoch: 12 [45824/46250]	Loss: 0.3670	LR: 0.004000
Training Epoch: 12 [46080/46250]	Loss: 0.3513	LR: 0.004000
Training Epoch: 12 [46250/46250]	Loss: 0.3681	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3572, Train Accuracy: 0.8781
Epoch 12 training time consumed: 25.36s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0015, Accuracy: 0.8671, Time consumed:0.89s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_21h_58m_05s/AllCNN-Cifar10-seed10-ret25-12-best.pth
Training Epoch: 13 [256/46250]	Loss: 0.3569	LR: 0.004000
Training Epoch: 13 [512/46250]	Loss: 0.2517	LR: 0.004000
Training Epoch: 13 [768/46250]	Loss: 0.3230	LR: 0.004000
Training Epoch: 13 [1024/46250]	Loss: 0.3235	LR: 0.004000
Training Epoch: 13 [1280/46250]	Loss: 0.3471	LR: 0.004000
Training Epoch: 13 [1536/46250]	Loss: 0.3640	LR: 0.004000
Training Epoch: 13 [1792/46250]	Loss: 0.3224	LR: 0.004000
Training Epoch: 13 [2048/46250]	Loss: 0.2932	LR: 0.004000
Training Epoch: 13 [2304/46250]	Loss: 0.4118	LR: 0.004000
Training Epoch: 13 [2560/46250]	Loss: 0.3590	LR: 0.004000
Training Epoch: 13 [2816/46250]	Loss: 0.3791	LR: 0.004000
Training Epoch: 13 [3072/46250]	Loss: 0.4192	LR: 0.004000
Training Epoch: 13 [3328/46250]	Loss: 0.3159	LR: 0.004000
Training Epoch: 13 [3584/46250]	Loss: 0.3612	LR: 0.004000
Training Epoch: 13 [3840/46250]	Loss: 0.3433	LR: 0.004000
Training Epoch: 13 [4096/46250]	Loss: 0.4867	LR: 0.004000
Training Epoch: 13 [4352/46250]	Loss: 0.3687	LR: 0.004000
Training Epoch: 13 [4608/46250]	Loss: 0.2922	LR: 0.004000
Training Epoch: 13 [4864/46250]	Loss: 0.4351	LR: 0.004000
Training Epoch: 13 [5120/46250]	Loss: 0.3156	LR: 0.004000
Training Epoch: 13 [5376/46250]	Loss: 0.3637	LR: 0.004000
Training Epoch: 13 [5632/46250]	Loss: 0.3299	LR: 0.004000
Training Epoch: 13 [5888/46250]	Loss: 0.2599	LR: 0.004000
Training Epoch: 13 [6144/46250]	Loss: 0.2645	LR: 0.004000
Training Epoch: 13 [6400/46250]	Loss: 0.2732	LR: 0.004000
Training Epoch: 13 [6656/46250]	Loss: 0.3735	LR: 0.004000
Training Epoch: 13 [6912/46250]	Loss: 0.4340	LR: 0.004000
Training Epoch: 13 [7168/46250]	Loss: 0.3582	LR: 0.004000
Training Epoch: 13 [7424/46250]	Loss: 0.3868	LR: 0.004000
Training Epoch: 13 [7680/46250]	Loss: 0.2984	LR: 0.004000
Training Epoch: 13 [7936/46250]	Loss: 0.3929	LR: 0.004000
Training Epoch: 13 [8192/46250]	Loss: 0.3717	LR: 0.004000
Training Epoch: 13 [8448/46250]	Loss: 0.2249	LR: 0.004000
Training Epoch: 13 [8704/46250]	Loss: 0.3689	LR: 0.004000
Training Epoch: 13 [8960/46250]	Loss: 0.3591	LR: 0.004000
Training Epoch: 13 [9216/46250]	Loss: 0.3535	LR: 0.004000
Training Epoch: 13 [9472/46250]	Loss: 0.3565	LR: 0.004000
Training Epoch: 13 [9728/46250]	Loss: 0.2948	LR: 0.004000
Training Epoch: 13 [9984/46250]	Loss: 0.3412	LR: 0.004000
Training Epoch: 13 [10240/46250]	Loss: 0.4343	LR: 0.004000
Training Epoch: 13 [10496/46250]	Loss: 0.3972	LR: 0.004000
Training Epoch: 13 [10752/46250]	Loss: 0.4327	LR: 0.004000
Training Epoch: 13 [11008/46250]	Loss: 0.4061	LR: 0.004000
Training Epoch: 13 [11264/46250]	Loss: 0.3174	LR: 0.004000
Training Epoch: 13 [11520/46250]	Loss: 0.3109	LR: 0.004000
Training Epoch: 13 [11776/46250]	Loss: 0.3669	LR: 0.004000
Training Epoch: 13 [12032/46250]	Loss: 0.2969	LR: 0.004000
Training Epoch: 13 [12288/46250]	Loss: 0.3529	LR: 0.004000
Training Epoch: 13 [12544/46250]	Loss: 0.3644	LR: 0.004000
Training Epoch: 13 [12800/46250]	Loss: 0.2702	LR: 0.004000
Training Epoch: 13 [13056/46250]	Loss: 0.3792	LR: 0.004000
Training Epoch: 13 [13312/46250]	Loss: 0.3383	LR: 0.004000
Training Epoch: 13 [13568/46250]	Loss: 0.3570	LR: 0.004000
Training Epoch: 13 [13824/46250]	Loss: 0.3668	LR: 0.004000
Training Epoch: 13 [14080/46250]	Loss: 0.3574	LR: 0.004000
Training Epoch: 13 [14336/46250]	Loss: 0.2179	LR: 0.004000
Training Epoch: 13 [14592/46250]	Loss: 0.3404	LR: 0.004000
Training Epoch: 13 [14848/46250]	Loss: 0.3676	LR: 0.004000
Training Epoch: 13 [15104/46250]	Loss: 0.3619	LR: 0.004000
Training Epoch: 13 [15360/46250]	Loss: 0.3497	LR: 0.004000
Training Epoch: 13 [15616/46250]	Loss: 0.3306	LR: 0.004000
Training Epoch: 13 [15872/46250]	Loss: 0.3551	LR: 0.004000
Training Epoch: 13 [16128/46250]	Loss: 0.3612	LR: 0.004000
Training Epoch: 13 [16384/46250]	Loss: 0.3130	LR: 0.004000
Training Epoch: 13 [16640/46250]	Loss: 0.3659	LR: 0.004000
Training Epoch: 13 [16896/46250]	Loss: 0.3561	LR: 0.004000
Training Epoch: 13 [17152/46250]	Loss: 0.2760	LR: 0.004000
Training Epoch: 13 [17408/46250]	Loss: 0.4012	LR: 0.004000
Training Epoch: 13 [17664/46250]	Loss: 0.3062	LR: 0.004000
Training Epoch: 13 [17920/46250]	Loss: 0.3001	LR: 0.004000
Training Epoch: 13 [18176/46250]	Loss: 0.3458	LR: 0.004000
Training Epoch: 13 [18432/46250]	Loss: 0.3408	LR: 0.004000
Training Epoch: 13 [18688/46250]	Loss: 0.4300	LR: 0.004000
Training Epoch: 13 [18944/46250]	Loss: 0.3490	LR: 0.004000
Training Epoch: 13 [19200/46250]	Loss: 0.3897	LR: 0.004000
Training Epoch: 13 [19456/46250]	Loss: 0.3714	LR: 0.004000
Training Epoch: 13 [19712/46250]	Loss: 0.3533	LR: 0.004000
Training Epoch: 13 [19968/46250]	Loss: 0.3244	LR: 0.004000
Training Epoch: 13 [20224/46250]	Loss: 0.3588	LR: 0.004000
Training Epoch: 13 [20480/46250]	Loss: 0.2970	LR: 0.004000
Training Epoch: 13 [20736/46250]	Loss: 0.3809	LR: 0.004000
Training Epoch: 13 [20992/46250]	Loss: 0.3493	LR: 0.004000
Training Epoch: 13 [21248/46250]	Loss: 0.3122	LR: 0.004000
Training Epoch: 13 [21504/46250]	Loss: 0.3345	LR: 0.004000
Training Epoch: 13 [21760/46250]	Loss: 0.3049	LR: 0.004000
Training Epoch: 13 [22016/46250]	Loss: 0.4427	LR: 0.004000
Training Epoch: 13 [22272/46250]	Loss: 0.3416	LR: 0.004000
Training Epoch: 13 [22528/46250]	Loss: 0.3283	LR: 0.004000
Training Epoch: 13 [22784/46250]	Loss: 0.4000	LR: 0.004000
Training Epoch: 13 [23040/46250]	Loss: 0.3383	LR: 0.004000
Training Epoch: 13 [23296/46250]	Loss: 0.3238	LR: 0.004000
Training Epoch: 13 [23552/46250]	Loss: 0.3016	LR: 0.004000
Training Epoch: 13 [23808/46250]	Loss: 0.2808	LR: 0.004000
Training Epoch: 13 [24064/46250]	Loss: 0.3562	LR: 0.004000
Training Epoch: 13 [24320/46250]	Loss: 0.3785	LR: 0.004000
Training Epoch: 13 [24576/46250]	Loss: 0.3317	LR: 0.004000
Training Epoch: 13 [24832/46250]	Loss: 0.4344	LR: 0.004000
Training Epoch: 13 [25088/46250]	Loss: 0.3251	LR: 0.004000
Training Epoch: 13 [25344/46250]	Loss: 0.3617	LR: 0.004000
Training Epoch: 13 [25600/46250]	Loss: 0.3382	LR: 0.004000
Training Epoch: 13 [25856/46250]	Loss: 0.3236	LR: 0.004000
Training Epoch: 13 [26112/46250]	Loss: 0.3961	LR: 0.004000
Training Epoch: 13 [26368/46250]	Loss: 0.3665	LR: 0.004000
Training Epoch: 13 [26624/46250]	Loss: 0.2773	LR: 0.004000
Training Epoch: 13 [26880/46250]	Loss: 0.3946	LR: 0.004000
Training Epoch: 13 [27136/46250]	Loss: 0.3446	LR: 0.004000
Training Epoch: 13 [27392/46250]	Loss: 0.3464	LR: 0.004000
Training Epoch: 13 [27648/46250]	Loss: 0.3393	LR: 0.004000
Training Epoch: 13 [27904/46250]	Loss: 0.3068	LR: 0.004000
Training Epoch: 13 [28160/46250]	Loss: 0.4036	LR: 0.004000
Training Epoch: 13 [28416/46250]	Loss: 0.3472	LR: 0.004000
Training Epoch: 13 [28672/46250]	Loss: 0.2886	LR: 0.004000
Training Epoch: 13 [28928/46250]	Loss: 0.3084	LR: 0.004000
Training Epoch: 13 [29184/46250]	Loss: 0.3360	LR: 0.004000
Training Epoch: 13 [29440/46250]	Loss: 0.3753	LR: 0.004000
Training Epoch: 13 [29696/46250]	Loss: 0.3427	LR: 0.004000
Training Epoch: 13 [29952/46250]	Loss: 0.4026	LR: 0.004000
Training Epoch: 13 [30208/46250]	Loss: 0.3128	LR: 0.004000
Training Epoch: 13 [30464/46250]	Loss: 0.2883	LR: 0.004000
Training Epoch: 13 [30720/46250]	Loss: 0.3398	LR: 0.004000
Training Epoch: 13 [30976/46250]	Loss: 0.3738	LR: 0.004000
Training Epoch: 13 [31232/46250]	Loss: 0.3298	LR: 0.004000
Training Epoch: 13 [31488/46250]	Loss: 0.3692	LR: 0.004000
Training Epoch: 13 [31744/46250]	Loss: 0.3887	LR: 0.004000
Training Epoch: 13 [32000/46250]	Loss: 0.3016	LR: 0.004000
Training Epoch: 13 [32256/46250]	Loss: 0.3438	LR: 0.004000
Training Epoch: 13 [32512/46250]	Loss: 0.3445	LR: 0.004000
Training Epoch: 13 [32768/46250]	Loss: 0.3338	LR: 0.004000
Training Epoch: 13 [33024/46250]	Loss: 0.4462	LR: 0.004000
Training Epoch: 13 [33280/46250]	Loss: 0.3391	LR: 0.004000
Training Epoch: 13 [33536/46250]	Loss: 0.3271	LR: 0.004000
Training Epoch: 13 [33792/46250]	Loss: 0.3132	LR: 0.004000
Training Epoch: 13 [34048/46250]	Loss: 0.3375	LR: 0.004000
Training Epoch: 13 [34304/46250]	Loss: 0.2925	LR: 0.004000
Training Epoch: 13 [34560/46250]	Loss: 0.4104	LR: 0.004000
Training Epoch: 13 [34816/46250]	Loss: 0.3189	LR: 0.004000
Training Epoch: 13 [35072/46250]	Loss: 0.3387	LR: 0.004000
Training Epoch: 13 [35328/46250]	Loss: 0.4245	LR: 0.004000
Training Epoch: 13 [35584/46250]	Loss: 0.2879	LR: 0.004000
Training Epoch: 13 [35840/46250]	Loss: 0.3880	LR: 0.004000
Training Epoch: 13 [36096/46250]	Loss: 0.3390	LR: 0.004000
Training Epoch: 13 [36352/46250]	Loss: 0.3537	LR: 0.004000
Training Epoch: 13 [36608/46250]	Loss: 0.3312	LR: 0.004000
Training Epoch: 13 [36864/46250]	Loss: 0.3816	LR: 0.004000
Training Epoch: 13 [37120/46250]	Loss: 0.3195	LR: 0.004000
Training Epoch: 13 [37376/46250]	Loss: 0.3161	LR: 0.004000
Training Epoch: 13 [37632/46250]	Loss: 0.3407	LR: 0.004000
Training Epoch: 13 [37888/46250]	Loss: 0.3265	LR: 0.004000
Training Epoch: 13 [38144/46250]	Loss: 0.3279	LR: 0.004000
Training Epoch: 13 [38400/46250]	Loss: 0.2787	LR: 0.004000
Training Epoch: 13 [38656/46250]	Loss: 0.3108	LR: 0.004000
Training Epoch: 13 [38912/46250]	Loss: 0.3453	LR: 0.004000
Training Epoch: 13 [39168/46250]	Loss: 0.3161	LR: 0.004000
Training Epoch: 13 [39424/46250]	Loss: 0.3673	LR: 0.004000
Training Epoch: 13 [39680/46250]	Loss: 0.3254	LR: 0.004000
Training Epoch: 13 [39936/46250]	Loss: 0.2841	LR: 0.004000
Training Epoch: 13 [40192/46250]	Loss: 0.2689	LR: 0.004000
Training Epoch: 13 [40448/46250]	Loss: 0.3779	LR: 0.004000
Training Epoch: 13 [40704/46250]	Loss: 0.3150	LR: 0.004000
Training Epoch: 13 [40960/46250]	Loss: 0.3134	LR: 0.004000
Training Epoch: 13 [41216/46250]	Loss: 0.3478	LR: 0.004000
Training Epoch: 13 [41472/46250]	Loss: 0.3012	LR: 0.004000
Training Epoch: 13 [41728/46250]	Loss: 0.3303	LR: 0.004000
Training Epoch: 13 [41984/46250]	Loss: 0.2745	LR: 0.004000
Training Epoch: 13 [42240/46250]	Loss: 0.3594	LR: 0.004000
Training Epoch: 13 [42496/46250]	Loss: 0.3143	LR: 0.004000
Training Epoch: 13 [42752/46250]	Loss: 0.3833	LR: 0.004000
Training Epoch: 13 [43008/46250]	Loss: 0.3502	LR: 0.004000
Training Epoch: 13 [43264/46250]	Loss: 0.3046	LR: 0.004000
Training Epoch: 13 [43520/46250]	Loss: 0.2847	LR: 0.004000
Training Epoch: 13 [43776/46250]	Loss: 0.3204	LR: 0.004000
Training Epoch: 13 [44032/46250]	Loss: 0.3595	LR: 0.004000
Training Epoch: 13 [44288/46250]	Loss: 0.3631	LR: 0.004000
Training Epoch: 13 [44544/46250]	Loss: 0.3303	LR: 0.004000
Training Epoch: 13 [44800/46250]	Loss: 0.3630	LR: 0.004000
Training Epoch: 13 [45056/46250]	Loss: 0.3131	LR: 0.004000
Training Epoch: 13 [45312/46250]	Loss: 0.3664	LR: 0.004000
Training Epoch: 13 [45568/46250]	Loss: 0.4143	LR: 0.004000
Training Epoch: 13 [45824/46250]	Loss: 0.3138	LR: 0.004000
Training Epoch: 13 [46080/46250]	Loss: 0.3176	LR: 0.004000
Training Epoch: 13 [46250/46250]	Loss: 0.2988	LR: 0.004000
Epoch 13 - Average Train Loss: 0.3435, Train Accuracy: 0.8812
Epoch 13 training time consumed: 25.37s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0015, Accuracy: 0.8708, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_21h_58m_05s/AllCNN-Cifar10-seed10-ret25-13-best.pth
Training Epoch: 14 [256/46250]	Loss: 0.3346	LR: 0.004000
Training Epoch: 14 [512/46250]	Loss: 0.3067	LR: 0.004000
Training Epoch: 14 [768/46250]	Loss: 0.3674	LR: 0.004000
Training Epoch: 14 [1024/46250]	Loss: 0.3411	LR: 0.004000
Training Epoch: 14 [1280/46250]	Loss: 0.2893	LR: 0.004000
Training Epoch: 14 [1536/46250]	Loss: 0.3813	LR: 0.004000
Training Epoch: 14 [1792/46250]	Loss: 0.2221	LR: 0.004000
Training Epoch: 14 [2048/46250]	Loss: 0.2949	LR: 0.004000
Training Epoch: 14 [2304/46250]	Loss: 0.2825	LR: 0.004000
Training Epoch: 14 [2560/46250]	Loss: 0.3593	LR: 0.004000
Training Epoch: 14 [2816/46250]	Loss: 0.3846	LR: 0.004000
Training Epoch: 14 [3072/46250]	Loss: 0.3728	LR: 0.004000
Training Epoch: 14 [3328/46250]	Loss: 0.2932	LR: 0.004000
Training Epoch: 14 [3584/46250]	Loss: 0.3199	LR: 0.004000
Training Epoch: 14 [3840/46250]	Loss: 0.2544	LR: 0.004000
Training Epoch: 14 [4096/46250]	Loss: 0.3483	LR: 0.004000
Training Epoch: 14 [4352/46250]	Loss: 0.3543	LR: 0.004000
Training Epoch: 14 [4608/46250]	Loss: 0.3670	LR: 0.004000
Training Epoch: 14 [4864/46250]	Loss: 0.2907	LR: 0.004000
Training Epoch: 14 [5120/46250]	Loss: 0.3191	LR: 0.004000
Training Epoch: 14 [5376/46250]	Loss: 0.3461	LR: 0.004000
Training Epoch: 14 [5632/46250]	Loss: 0.3690	LR: 0.004000
Training Epoch: 14 [5888/46250]	Loss: 0.2707	LR: 0.004000
Training Epoch: 14 [6144/46250]	Loss: 0.2304	LR: 0.004000
Training Epoch: 14 [6400/46250]	Loss: 0.3238	LR: 0.004000
Training Epoch: 14 [6656/46250]	Loss: 0.3673	LR: 0.004000
Training Epoch: 14 [6912/46250]	Loss: 0.3085	LR: 0.004000
Training Epoch: 14 [7168/46250]	Loss: 0.3103	LR: 0.004000
Training Epoch: 14 [7424/46250]	Loss: 0.3650	LR: 0.004000
Training Epoch: 14 [7680/46250]	Loss: 0.2633	LR: 0.004000
Training Epoch: 14 [7936/46250]	Loss: 0.2466	LR: 0.004000
Training Epoch: 14 [8192/46250]	Loss: 0.3020	LR: 0.004000
Training Epoch: 14 [8448/46250]	Loss: 0.3582	LR: 0.004000
Training Epoch: 14 [8704/46250]	Loss: 0.3393	LR: 0.004000
Training Epoch: 14 [8960/46250]	Loss: 0.3363	LR: 0.004000
Training Epoch: 14 [9216/46250]	Loss: 0.3547	LR: 0.004000
Training Epoch: 14 [9472/46250]	Loss: 0.3374	LR: 0.004000
Training Epoch: 14 [9728/46250]	Loss: 0.3510	LR: 0.004000
Training Epoch: 14 [9984/46250]	Loss: 0.3092	LR: 0.004000
Training Epoch: 14 [10240/46250]	Loss: 0.3449	LR: 0.004000
Training Epoch: 14 [10496/46250]	Loss: 0.3636	LR: 0.004000
Training Epoch: 14 [10752/46250]	Loss: 0.3579	LR: 0.004000
Training Epoch: 14 [11008/46250]	Loss: 0.3508	LR: 0.004000
Training Epoch: 14 [11264/46250]	Loss: 0.2989	LR: 0.004000
Training Epoch: 14 [11520/46250]	Loss: 0.2555	LR: 0.004000
Training Epoch: 14 [11776/46250]	Loss: 0.3237	LR: 0.004000
Training Epoch: 14 [12032/46250]	Loss: 0.3007	LR: 0.004000
Training Epoch: 14 [12288/46250]	Loss: 0.3627	LR: 0.004000
Training Epoch: 14 [12544/46250]	Loss: 0.3652	LR: 0.004000
Training Epoch: 14 [12800/46250]	Loss: 0.2831	LR: 0.004000
Training Epoch: 14 [13056/46250]	Loss: 0.3420	LR: 0.004000
Training Epoch: 14 [13312/46250]	Loss: 0.3072	LR: 0.004000
Training Epoch: 14 [13568/46250]	Loss: 0.2927	LR: 0.004000
Training Epoch: 14 [13824/46250]	Loss: 0.2922	LR: 0.004000
Training Epoch: 14 [14080/46250]	Loss: 0.3285	LR: 0.004000
Training Epoch: 14 [14336/46250]	Loss: 0.3221	LR: 0.004000
Training Epoch: 14 [14592/46250]	Loss: 0.3017	LR: 0.004000
Training Epoch: 14 [14848/46250]	Loss: 0.4783	LR: 0.004000
Training Epoch: 14 [15104/46250]	Loss: 0.3396	LR: 0.004000
Training Epoch: 14 [15360/46250]	Loss: 0.2896	LR: 0.004000
Training Epoch: 14 [15616/46250]	Loss: 0.3230	LR: 0.004000
Training Epoch: 14 [15872/46250]	Loss: 0.3289	LR: 0.004000
Training Epoch: 14 [16128/46250]	Loss: 0.4114	LR: 0.004000
Training Epoch: 14 [16384/46250]	Loss: 0.3789	LR: 0.004000
Training Epoch: 14 [16640/46250]	Loss: 0.2662	LR: 0.004000
Training Epoch: 14 [16896/46250]	Loss: 0.3250	LR: 0.004000
Training Epoch: 14 [17152/46250]	Loss: 0.3305	LR: 0.004000
Training Epoch: 14 [17408/46250]	Loss: 0.2935	LR: 0.004000
Training Epoch: 14 [17664/46250]	Loss: 0.3733	LR: 0.004000
Training Epoch: 14 [17920/46250]	Loss: 0.3042	LR: 0.004000
Training Epoch: 14 [18176/46250]	Loss: 0.2863	LR: 0.004000
Training Epoch: 14 [18432/46250]	Loss: 0.4196	LR: 0.004000
Training Epoch: 14 [18688/46250]	Loss: 0.3202	LR: 0.004000
Training Epoch: 14 [18944/46250]	Loss: 0.3630	LR: 0.004000
Training Epoch: 14 [19200/46250]	Loss: 0.3433	LR: 0.004000
Training Epoch: 14 [19456/46250]	Loss: 0.3172	LR: 0.004000
Training Epoch: 14 [19712/46250]	Loss: 0.3120	LR: 0.004000
Training Epoch: 14 [19968/46250]	Loss: 0.3552	LR: 0.004000
Training Epoch: 14 [20224/46250]	Loss: 0.3534	LR: 0.004000
Training Epoch: 14 [20480/46250]	Loss: 0.2783	LR: 0.004000
Training Epoch: 14 [20736/46250]	Loss: 0.3642	LR: 0.004000
Training Epoch: 14 [20992/46250]	Loss: 0.3266	LR: 0.004000
Training Epoch: 14 [21248/46250]	Loss: 0.3680	LR: 0.004000
Training Epoch: 14 [21504/46250]	Loss: 0.4209	LR: 0.004000
Training Epoch: 14 [21760/46250]	Loss: 0.3433	LR: 0.004000
Training Epoch: 14 [22016/46250]	Loss: 0.3514	LR: 0.004000
Training Epoch: 14 [22272/46250]	Loss: 0.3010	LR: 0.004000
Training Epoch: 14 [22528/46250]	Loss: 0.2879	LR: 0.004000
Training Epoch: 14 [22784/46250]	Loss: 0.3422	LR: 0.004000
Training Epoch: 14 [23040/46250]	Loss: 0.3775	LR: 0.004000
Training Epoch: 14 [23296/46250]	Loss: 0.3258	LR: 0.004000
Training Epoch: 14 [23552/46250]	Loss: 0.3897	LR: 0.004000
Training Epoch: 14 [23808/46250]	Loss: 0.3342	LR: 0.004000
Training Epoch: 14 [24064/46250]	Loss: 0.2951	LR: 0.004000
Training Epoch: 14 [24320/46250]	Loss: 0.3535	LR: 0.004000
Training Epoch: 14 [24576/46250]	Loss: 0.3408	LR: 0.004000
Training Epoch: 14 [24832/46250]	Loss: 0.2970	LR: 0.004000
Training Epoch: 14 [25088/46250]	Loss: 0.3667	LR: 0.004000
Training Epoch: 14 [25344/46250]	Loss: 0.3916	LR: 0.004000
Training Epoch: 14 [25600/46250]	Loss: 0.3605	LR: 0.004000
Training Epoch: 14 [25856/46250]	Loss: 0.3001	LR: 0.004000
Training Epoch: 14 [26112/46250]	Loss: 0.3387	LR: 0.004000
Training Epoch: 14 [26368/46250]	Loss: 0.3287	LR: 0.004000
Training Epoch: 14 [26624/46250]	Loss: 0.3334	LR: 0.004000
Training Epoch: 14 [26880/46250]	Loss: 0.4482	LR: 0.004000
Training Epoch: 14 [27136/46250]	Loss: 0.3069	LR: 0.004000
Training Epoch: 14 [27392/46250]	Loss: 0.2924	LR: 0.004000
Training Epoch: 14 [27648/46250]	Loss: 0.3681	LR: 0.004000
Training Epoch: 14 [27904/46250]	Loss: 0.3923	LR: 0.004000
Training Epoch: 14 [28160/46250]	Loss: 0.3417	LR: 0.004000
Training Epoch: 14 [28416/46250]	Loss: 0.3225	LR: 0.004000
Training Epoch: 14 [28672/46250]	Loss: 0.3972	LR: 0.004000
Training Epoch: 14 [28928/46250]	Loss: 0.3748	LR: 0.004000
Training Epoch: 14 [29184/46250]	Loss: 0.3039	LR: 0.004000
Training Epoch: 14 [29440/46250]	Loss: 0.3767	LR: 0.004000
Training Epoch: 14 [29696/46250]	Loss: 0.3528	LR: 0.004000
Training Epoch: 14 [29952/46250]	Loss: 0.3164	LR: 0.004000
Training Epoch: 14 [30208/46250]	Loss: 0.3651	LR: 0.004000
Training Epoch: 14 [30464/46250]	Loss: 0.3667	LR: 0.004000
Training Epoch: 14 [30720/46250]	Loss: 0.3139	LR: 0.004000
Training Epoch: 14 [30976/46250]	Loss: 0.3389	LR: 0.004000
Training Epoch: 14 [31232/46250]	Loss: 0.2225	LR: 0.004000
Training Epoch: 14 [31488/46250]	Loss: 0.3451	LR: 0.004000
Training Epoch: 14 [31744/46250]	Loss: 0.3023	LR: 0.004000
Training Epoch: 14 [32000/46250]	Loss: 0.3259	LR: 0.004000
Training Epoch: 14 [32256/46250]	Loss: 0.3487	LR: 0.004000
Training Epoch: 14 [32512/46250]	Loss: 0.3341	LR: 0.004000
Training Epoch: 14 [32768/46250]	Loss: 0.3318	LR: 0.004000
Training Epoch: 14 [33024/46250]	Loss: 0.3720	LR: 0.004000
Training Epoch: 14 [33280/46250]	Loss: 0.3303	LR: 0.004000
Training Epoch: 14 [33536/46250]	Loss: 0.3405	LR: 0.004000
Training Epoch: 14 [33792/46250]	Loss: 0.3748	LR: 0.004000
Training Epoch: 14 [34048/46250]	Loss: 0.3507	LR: 0.004000
Training Epoch: 14 [34304/46250]	Loss: 0.3229	LR: 0.004000
Training Epoch: 14 [34560/46250]	Loss: 0.3401	LR: 0.004000
Training Epoch: 14 [34816/46250]	Loss: 0.3061	LR: 0.004000
Training Epoch: 14 [35072/46250]	Loss: 0.3419	LR: 0.004000
Training Epoch: 14 [35328/46250]	Loss: 0.4066	LR: 0.004000
Training Epoch: 14 [35584/46250]	Loss: 0.3231	LR: 0.004000
Training Epoch: 14 [35840/46250]	Loss: 0.4237	LR: 0.004000
Training Epoch: 14 [36096/46250]	Loss: 0.4155	LR: 0.004000
Training Epoch: 14 [36352/46250]	Loss: 0.2644	LR: 0.004000
Training Epoch: 14 [36608/46250]	Loss: 0.3401	LR: 0.004000
Training Epoch: 14 [36864/46250]	Loss: 0.4184	LR: 0.004000
Training Epoch: 14 [37120/46250]	Loss: 0.3310	LR: 0.004000
Training Epoch: 14 [37376/46250]	Loss: 0.3427	LR: 0.004000
Training Epoch: 14 [37632/46250]	Loss: 0.3993	LR: 0.004000
Training Epoch: 14 [37888/46250]	Loss: 0.2993	LR: 0.004000
Training Epoch: 14 [38144/46250]	Loss: 0.3102	LR: 0.004000
Training Epoch: 14 [38400/46250]	Loss: 0.3651	LR: 0.004000
Training Epoch: 14 [38656/46250]	Loss: 0.4030	LR: 0.004000
Training Epoch: 14 [38912/46250]	Loss: 0.2567	LR: 0.004000
Training Epoch: 14 [39168/46250]	Loss: 0.3278	LR: 0.004000
Training Epoch: 14 [39424/46250]	Loss: 0.3900	LR: 0.004000
Training Epoch: 14 [39680/46250]	Loss: 0.2801	LR: 0.004000
Training Epoch: 14 [39936/46250]	Loss: 0.2608	LR: 0.004000
Training Epoch: 14 [40192/46250]	Loss: 0.4275	LR: 0.004000
Training Epoch: 14 [40448/46250]	Loss: 0.3809	LR: 0.004000
Training Epoch: 14 [40704/46250]	Loss: 0.3148	LR: 0.004000
Training Epoch: 14 [40960/46250]	Loss: 0.3127	LR: 0.004000
Training Epoch: 14 [41216/46250]	Loss: 0.3010	LR: 0.004000
Training Epoch: 14 [41472/46250]	Loss: 0.3282	LR: 0.004000
Training Epoch: 14 [41728/46250]	Loss: 0.3487	LR: 0.004000
Training Epoch: 14 [41984/46250]	Loss: 0.2980	LR: 0.004000
Training Epoch: 14 [42240/46250]	Loss: 0.2872	LR: 0.004000
Training Epoch: 14 [42496/46250]	Loss: 0.3317	LR: 0.004000
Training Epoch: 14 [42752/46250]	Loss: 0.3316	LR: 0.004000
Training Epoch: 14 [43008/46250]	Loss: 0.3687	LR: 0.004000
Training Epoch: 14 [43264/46250]	Loss: 0.3793	LR: 0.004000
Training Epoch: 14 [43520/46250]	Loss: 0.3842	LR: 0.004000
Training Epoch: 14 [43776/46250]	Loss: 0.3472	LR: 0.004000
Training Epoch: 14 [44032/46250]	Loss: 0.3677	LR: 0.004000
Training Epoch: 14 [44288/46250]	Loss: 0.4014	LR: 0.004000
Training Epoch: 14 [44544/46250]	Loss: 0.3614	LR: 0.004000
Training Epoch: 14 [44800/46250]	Loss: 0.3172	LR: 0.004000
Training Epoch: 14 [45056/46250]	Loss: 0.3051	LR: 0.004000
Training Epoch: 14 [45312/46250]	Loss: 0.3254	LR: 0.004000
Training Epoch: 14 [45568/46250]	Loss: 0.4374	LR: 0.004000
Training Epoch: 14 [45824/46250]	Loss: 0.3453	LR: 0.004000
Training Epoch: 14 [46080/46250]	Loss: 0.3215	LR: 0.004000
Training Epoch: 14 [46250/46250]	Loss: 0.4456	LR: 0.004000
Epoch 14 - Average Train Loss: 0.3368, Train Accuracy: 0.8846
Epoch 14 training time consumed: 25.51s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0015, Accuracy: 0.8701, Time consumed:1.01s
Training Epoch: 15 [256/46250]	Loss: 0.3176	LR: 0.004000
Training Epoch: 15 [512/46250]	Loss: 0.3555	LR: 0.004000
Training Epoch: 15 [768/46250]	Loss: 0.2711	LR: 0.004000
Training Epoch: 15 [1024/46250]	Loss: 0.2975	LR: 0.004000
Training Epoch: 15 [1280/46250]	Loss: 0.3307	LR: 0.004000
Training Epoch: 15 [1536/46250]	Loss: 0.3031	LR: 0.004000
Training Epoch: 15 [1792/46250]	Loss: 0.2981	LR: 0.004000
Training Epoch: 15 [2048/46250]	Loss: 0.3726	LR: 0.004000
Training Epoch: 15 [2304/46250]	Loss: 0.3551	LR: 0.004000
Training Epoch: 15 [2560/46250]	Loss: 0.3747	LR: 0.004000
Training Epoch: 15 [2816/46250]	Loss: 0.3664	LR: 0.004000
Training Epoch: 15 [3072/46250]	Loss: 0.3741	LR: 0.004000
Training Epoch: 15 [3328/46250]	Loss: 0.3019	LR: 0.004000
Training Epoch: 15 [3584/46250]	Loss: 0.3264	LR: 0.004000
Training Epoch: 15 [3840/46250]	Loss: 0.3462	LR: 0.004000
Training Epoch: 15 [4096/46250]	Loss: 0.3454	LR: 0.004000
Training Epoch: 15 [4352/46250]	Loss: 0.3424	LR: 0.004000
Training Epoch: 15 [4608/46250]	Loss: 0.4326	LR: 0.004000
Training Epoch: 15 [4864/46250]	Loss: 0.3706	LR: 0.004000
Training Epoch: 15 [5120/46250]	Loss: 0.3464	LR: 0.004000
Training Epoch: 15 [5376/46250]	Loss: 0.3719	LR: 0.004000
Training Epoch: 15 [5632/46250]	Loss: 0.3426	LR: 0.004000
Training Epoch: 15 [5888/46250]	Loss: 0.3406	LR: 0.004000
Training Epoch: 15 [6144/46250]	Loss: 0.4033	LR: 0.004000
Training Epoch: 15 [6400/46250]	Loss: 0.3475	LR: 0.004000
Training Epoch: 15 [6656/46250]	Loss: 0.2750	LR: 0.004000
Training Epoch: 15 [6912/46250]	Loss: 0.2676	LR: 0.004000
Training Epoch: 15 [7168/46250]	Loss: 0.3749	LR: 0.004000
Training Epoch: 15 [7424/46250]	Loss: 0.3056	LR: 0.004000
Training Epoch: 15 [7680/46250]	Loss: 0.2993	LR: 0.004000
Training Epoch: 15 [7936/46250]	Loss: 0.3054	LR: 0.004000
Training Epoch: 15 [8192/46250]	Loss: 0.2777	LR: 0.004000
Training Epoch: 15 [8448/46250]	Loss: 0.3394	LR: 0.004000
Training Epoch: 15 [8704/46250]	Loss: 0.3379	LR: 0.004000
Training Epoch: 15 [8960/46250]	Loss: 0.4140	LR: 0.004000
Training Epoch: 15 [9216/46250]	Loss: 0.3205	LR: 0.004000
Training Epoch: 15 [9472/46250]	Loss: 0.2409	LR: 0.004000
Training Epoch: 15 [9728/46250]	Loss: 0.3984	LR: 0.004000
Training Epoch: 15 [9984/46250]	Loss: 0.2804	LR: 0.004000
Training Epoch: 15 [10240/46250]	Loss: 0.3151	LR: 0.004000
Training Epoch: 15 [10496/46250]	Loss: 0.3850	LR: 0.004000
Training Epoch: 15 [10752/46250]	Loss: 0.3698	LR: 0.004000
Training Epoch: 15 [11008/46250]	Loss: 0.3567	LR: 0.004000
Training Epoch: 15 [11264/46250]	Loss: 0.2629	LR: 0.004000
Training Epoch: 15 [11520/46250]	Loss: 0.2972	LR: 0.004000
Training Epoch: 15 [11776/46250]	Loss: 0.3136	LR: 0.004000
Training Epoch: 15 [12032/46250]	Loss: 0.3635	LR: 0.004000
Training Epoch: 15 [12288/46250]	Loss: 0.2679	LR: 0.004000
Training Epoch: 15 [12544/46250]	Loss: 0.3263	LR: 0.004000
Training Epoch: 15 [12800/46250]	Loss: 0.3059	LR: 0.004000
Training Epoch: 15 [13056/46250]	Loss: 0.3484	LR: 0.004000
Training Epoch: 15 [13312/46250]	Loss: 0.3379	LR: 0.004000
Training Epoch: 15 [13568/46250]	Loss: 0.3998	LR: 0.004000
Training Epoch: 15 [13824/46250]	Loss: 0.3608	LR: 0.004000
Training Epoch: 15 [14080/46250]	Loss: 0.2902	LR: 0.004000
Training Epoch: 15 [14336/46250]	Loss: 0.3054	LR: 0.004000
Training Epoch: 15 [14592/46250]	Loss: 0.3720	LR: 0.004000
Training Epoch: 15 [14848/46250]	Loss: 0.3998	LR: 0.004000
Training Epoch: 15 [15104/46250]	Loss: 0.2991	LR: 0.004000
Training Epoch: 15 [15360/46250]	Loss: 0.2876	LR: 0.004000
Training Epoch: 15 [15616/46250]	Loss: 0.2919	LR: 0.004000
Training Epoch: 15 [15872/46250]	Loss: 0.3425	LR: 0.004000
Training Epoch: 15 [16128/46250]	Loss: 0.2588	LR: 0.004000
Training Epoch: 15 [16384/46250]	Loss: 0.3348	LR: 0.004000
Training Epoch: 15 [16640/46250]	Loss: 0.2939	LR: 0.004000
Training Epoch: 15 [16896/46250]	Loss: 0.2780	LR: 0.004000
Training Epoch: 15 [17152/46250]	Loss: 0.3892	LR: 0.004000
Training Epoch: 15 [17408/46250]	Loss: 0.2753	LR: 0.004000
Training Epoch: 15 [17664/46250]	Loss: 0.3179	LR: 0.004000
Training Epoch: 15 [17920/46250]	Loss: 0.3447	LR: 0.004000
Training Epoch: 15 [18176/46250]	Loss: 0.2971	LR: 0.004000
Training Epoch: 15 [18432/46250]	Loss: 0.3079	LR: 0.004000
Training Epoch: 15 [18688/46250]	Loss: 0.3571	LR: 0.004000
Training Epoch: 15 [18944/46250]	Loss: 0.3343	LR: 0.004000
Training Epoch: 15 [19200/46250]	Loss: 0.3221	LR: 0.004000
Training Epoch: 15 [19456/46250]	Loss: 0.3104	LR: 0.004000
Training Epoch: 15 [19712/46250]	Loss: 0.2905	LR: 0.004000
Training Epoch: 15 [19968/46250]	Loss: 0.3138	LR: 0.004000
Training Epoch: 15 [20224/46250]	Loss: 0.3360	LR: 0.004000
Training Epoch: 15 [20480/46250]	Loss: 0.2988	LR: 0.004000
Training Epoch: 15 [20736/46250]	Loss: 0.3329	LR: 0.004000
Training Epoch: 15 [20992/46250]	Loss: 0.4074	LR: 0.004000
Training Epoch: 15 [21248/46250]	Loss: 0.3030	LR: 0.004000
Training Epoch: 15 [21504/46250]	Loss: 0.2563	LR: 0.004000
Training Epoch: 15 [21760/46250]	Loss: 0.3514	LR: 0.004000
Training Epoch: 15 [22016/46250]	Loss: 0.3967	LR: 0.004000
Training Epoch: 15 [22272/46250]	Loss: 0.2747	LR: 0.004000
Training Epoch: 15 [22528/46250]	Loss: 0.3236	LR: 0.004000
Training Epoch: 15 [22784/46250]	Loss: 0.2436	LR: 0.004000
Training Epoch: 15 [23040/46250]	Loss: 0.3232	LR: 0.004000
Training Epoch: 15 [23296/46250]	Loss: 0.2700	LR: 0.004000
Training Epoch: 15 [23552/46250]	Loss: 0.3182	LR: 0.004000
Training Epoch: 15 [23808/46250]	Loss: 0.3697	LR: 0.004000
Training Epoch: 15 [24064/46250]	Loss: 0.3731	LR: 0.004000
Training Epoch: 15 [24320/46250]	Loss: 0.3608	LR: 0.004000
Training Epoch: 15 [24576/46250]	Loss: 0.2746	LR: 0.004000
Training Epoch: 15 [24832/46250]	Loss: 0.3448	LR: 0.004000
Training Epoch: 15 [25088/46250]	Loss: 0.3234	LR: 0.004000
Training Epoch: 15 [25344/46250]	Loss: 0.3769	LR: 0.004000
Training Epoch: 15 [25600/46250]	Loss: 0.3299	LR: 0.004000
Training Epoch: 15 [25856/46250]	Loss: 0.3729	LR: 0.004000
Training Epoch: 15 [26112/46250]	Loss: 0.3205	LR: 0.004000
Training Epoch: 15 [26368/46250]	Loss: 0.4213	LR: 0.004000
Training Epoch: 15 [26624/46250]	Loss: 0.2990	LR: 0.004000
Training Epoch: 15 [26880/46250]	Loss: 0.2943	LR: 0.004000
Training Epoch: 15 [27136/46250]	Loss: 0.3292	LR: 0.004000
Training Epoch: 15 [27392/46250]	Loss: 0.4217	LR: 0.004000
Training Epoch: 15 [27648/46250]	Loss: 0.3444	LR: 0.004000
Training Epoch: 15 [27904/46250]	Loss: 0.3697	LR: 0.004000
Training Epoch: 15 [28160/46250]	Loss: 0.3166	LR: 0.004000
Training Epoch: 15 [28416/46250]	Loss: 0.3578	LR: 0.004000
Training Epoch: 15 [28672/46250]	Loss: 0.3003	LR: 0.004000
Training Epoch: 15 [28928/46250]	Loss: 0.2449	LR: 0.004000
Training Epoch: 15 [29184/46250]	Loss: 0.3342	LR: 0.004000
Training Epoch: 15 [29440/46250]	Loss: 0.3430	LR: 0.004000
Training Epoch: 15 [29696/46250]	Loss: 0.3553	LR: 0.004000
Training Epoch: 15 [29952/46250]	Loss: 0.3007	LR: 0.004000
Training Epoch: 15 [30208/46250]	Loss: 0.2705	LR: 0.004000
Training Epoch: 15 [30464/46250]	Loss: 0.3531	LR: 0.004000
Training Epoch: 15 [30720/46250]	Loss: 0.3845	LR: 0.004000
Training Epoch: 15 [30976/46250]	Loss: 0.2877	LR: 0.004000
Training Epoch: 15 [31232/46250]	Loss: 0.3391	LR: 0.004000
Training Epoch: 15 [31488/46250]	Loss: 0.3361	LR: 0.004000
Training Epoch: 15 [31744/46250]	Loss: 0.3444	LR: 0.004000
Training Epoch: 15 [32000/46250]	Loss: 0.3163	LR: 0.004000
Training Epoch: 15 [32256/46250]	Loss: 0.3180	LR: 0.004000
Training Epoch: 15 [32512/46250]	Loss: 0.2620	LR: 0.004000
Training Epoch: 15 [32768/46250]	Loss: 0.3464	LR: 0.004000
Training Epoch: 15 [33024/46250]	Loss: 0.2786	LR: 0.004000
Training Epoch: 15 [33280/46250]	Loss: 0.4359	LR: 0.004000
Training Epoch: 15 [33536/46250]	Loss: 0.3378	LR: 0.004000
Training Epoch: 15 [33792/46250]	Loss: 0.3701	LR: 0.004000
Training Epoch: 15 [34048/46250]	Loss: 0.3809	LR: 0.004000
Training Epoch: 15 [34304/46250]	Loss: 0.3079	LR: 0.004000
Training Epoch: 15 [34560/46250]	Loss: 0.3070	LR: 0.004000
Training Epoch: 15 [34816/46250]	Loss: 0.3081	LR: 0.004000
Training Epoch: 15 [35072/46250]	Loss: 0.3185	LR: 0.004000
Training Epoch: 15 [35328/46250]	Loss: 0.2587	LR: 0.004000
Training Epoch: 15 [35584/46250]	Loss: 0.2459	LR: 0.004000
Training Epoch: 15 [35840/46250]	Loss: 0.4027	LR: 0.004000
Training Epoch: 15 [36096/46250]	Loss: 0.3390	LR: 0.004000
Training Epoch: 15 [36352/46250]	Loss: 0.2930	LR: 0.004000
Training Epoch: 15 [36608/46250]	Loss: 0.3438	LR: 0.004000
Training Epoch: 15 [36864/46250]	Loss: 0.3222	LR: 0.004000
Training Epoch: 15 [37120/46250]	Loss: 0.3266	LR: 0.004000
Training Epoch: 15 [37376/46250]	Loss: 0.3450	LR: 0.004000
Training Epoch: 15 [37632/46250]	Loss: 0.3489	LR: 0.004000
Training Epoch: 15 [37888/46250]	Loss: 0.3330	LR: 0.004000
Training Epoch: 15 [38144/46250]	Loss: 0.3188	LR: 0.004000
Training Epoch: 15 [38400/46250]	Loss: 0.3054	LR: 0.004000
Training Epoch: 15 [38656/46250]	Loss: 0.2611	LR: 0.004000
Training Epoch: 15 [38912/46250]	Loss: 0.4035	LR: 0.004000
Training Epoch: 15 [39168/46250]	Loss: 0.4030	LR: 0.004000
Training Epoch: 15 [39424/46250]	Loss: 0.3572	LR: 0.004000
Training Epoch: 15 [39680/46250]	Loss: 0.2881	LR: 0.004000
Training Epoch: 15 [39936/46250]	Loss: 0.3370	LR: 0.004000
Training Epoch: 15 [40192/46250]	Loss: 0.3043	LR: 0.004000
Training Epoch: 15 [40448/46250]	Loss: 0.3973	LR: 0.004000
Training Epoch: 15 [40704/46250]	Loss: 0.3091	LR: 0.004000
Training Epoch: 15 [40960/46250]	Loss: 0.3676	LR: 0.004000
Training Epoch: 15 [41216/46250]	Loss: 0.3340	LR: 0.004000
Training Epoch: 15 [41472/46250]	Loss: 0.2951	LR: 0.004000
Training Epoch: 15 [41728/46250]	Loss: 0.3319	LR: 0.004000
Training Epoch: 15 [41984/46250]	Loss: 0.3127	LR: 0.004000
Training Epoch: 15 [42240/46250]	Loss: 0.3534	LR: 0.004000
Training Epoch: 15 [42496/46250]	Loss: 0.3331	LR: 0.004000
Training Epoch: 15 [42752/46250]	Loss: 0.3892	LR: 0.004000
Training Epoch: 15 [43008/46250]	Loss: 0.3506	LR: 0.004000
Training Epoch: 15 [43264/46250]	Loss: 0.2930	LR: 0.004000
Training Epoch: 15 [43520/46250]	Loss: 0.2685	LR: 0.004000
Training Epoch: 15 [43776/46250]	Loss: 0.3031	LR: 0.004000
Training Epoch: 15 [44032/46250]	Loss: 0.3757	LR: 0.004000
Training Epoch: 15 [44288/46250]	Loss: 0.3784	LR: 0.004000
Training Epoch: 15 [44544/46250]	Loss: 0.3549	LR: 0.004000
Training Epoch: 15 [44800/46250]	Loss: 0.3567	LR: 0.004000
Training Epoch: 15 [45056/46250]	Loss: 0.2887	LR: 0.004000
Training Epoch: 15 [45312/46250]	Loss: 0.3191	LR: 0.004000
Training Epoch: 15 [45568/46250]	Loss: 0.3632	LR: 0.004000
Training Epoch: 15 [45824/46250]	Loss: 0.3616	LR: 0.004000
Training Epoch: 15 [46080/46250]	Loss: 0.3617	LR: 0.004000
Training Epoch: 15 [46250/46250]	Loss: 0.2405	LR: 0.004000
Epoch 15 - Average Train Loss: 0.3305, Train Accuracy: 0.8871
Epoch 15 training time consumed: 25.34s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0015, Accuracy: 0.8725, Time consumed:1.00s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_21h_58m_05s/AllCNN-Cifar10-seed10-ret25-15-best.pth
Training Epoch: 16 [256/46250]	Loss: 0.2774	LR: 0.000800
Training Epoch: 16 [512/46250]	Loss: 0.3601	LR: 0.000800
Training Epoch: 16 [768/46250]	Loss: 0.3034	LR: 0.000800
Training Epoch: 16 [1024/46250]	Loss: 0.3457	LR: 0.000800
Training Epoch: 16 [1280/46250]	Loss: 0.3721	LR: 0.000800
Training Epoch: 16 [1536/46250]	Loss: 0.3028	LR: 0.000800
Training Epoch: 16 [1792/46250]	Loss: 0.3482	LR: 0.000800
Training Epoch: 16 [2048/46250]	Loss: 0.3761	LR: 0.000800
Training Epoch: 16 [2304/46250]	Loss: 0.3245	LR: 0.000800
Training Epoch: 16 [2560/46250]	Loss: 0.3033	LR: 0.000800
Training Epoch: 16 [2816/46250]	Loss: 0.3913	LR: 0.000800
Training Epoch: 16 [3072/46250]	Loss: 0.3599	LR: 0.000800
Training Epoch: 16 [3328/46250]	Loss: 0.2385	LR: 0.000800
Training Epoch: 16 [3584/46250]	Loss: 0.2619	LR: 0.000800
Training Epoch: 16 [3840/46250]	Loss: 0.2636	LR: 0.000800
Training Epoch: 16 [4096/46250]	Loss: 0.3899	LR: 0.000800
Training Epoch: 16 [4352/46250]	Loss: 0.2988	LR: 0.000800
Training Epoch: 16 [4608/46250]	Loss: 0.3575	LR: 0.000800
Training Epoch: 16 [4864/46250]	Loss: 0.3335	LR: 0.000800
Training Epoch: 16 [5120/46250]	Loss: 0.3747	LR: 0.000800
Training Epoch: 16 [5376/46250]	Loss: 0.3209	LR: 0.000800
Training Epoch: 16 [5632/46250]	Loss: 0.3115	LR: 0.000800
Training Epoch: 16 [5888/46250]	Loss: 0.3881	LR: 0.000800
Training Epoch: 16 [6144/46250]	Loss: 0.2664	LR: 0.000800
Training Epoch: 16 [6400/46250]	Loss: 0.3297	LR: 0.000800
Training Epoch: 16 [6656/46250]	Loss: 0.3223	LR: 0.000800
Training Epoch: 16 [6912/46250]	Loss: 0.3542	LR: 0.000800
Training Epoch: 16 [7168/46250]	Loss: 0.3244	LR: 0.000800
Training Epoch: 16 [7424/46250]	Loss: 0.3329	LR: 0.000800
Training Epoch: 16 [7680/46250]	Loss: 0.2090	LR: 0.000800
Training Epoch: 16 [7936/46250]	Loss: 0.3048	LR: 0.000800
Training Epoch: 16 [8192/46250]	Loss: 0.3984	LR: 0.000800
Training Epoch: 16 [8448/46250]	Loss: 0.2334	LR: 0.000800
Training Epoch: 16 [8704/46250]	Loss: 0.2893	LR: 0.000800
Training Epoch: 16 [8960/46250]	Loss: 0.2784	LR: 0.000800
Training Epoch: 16 [9216/46250]	Loss: 0.3640	LR: 0.000800
Training Epoch: 16 [9472/46250]	Loss: 0.2740	LR: 0.000800
Training Epoch: 16 [9728/46250]	Loss: 0.3389	LR: 0.000800
Training Epoch: 16 [9984/46250]	Loss: 0.3118	LR: 0.000800
Training Epoch: 16 [10240/46250]	Loss: 0.2952	LR: 0.000800
Training Epoch: 16 [10496/46250]	Loss: 0.3731	LR: 0.000800
Training Epoch: 16 [10752/46250]	Loss: 0.4656	LR: 0.000800
Training Epoch: 16 [11008/46250]	Loss: 0.3071	LR: 0.000800
Training Epoch: 16 [11264/46250]	Loss: 0.2691	LR: 0.000800
Training Epoch: 16 [11520/46250]	Loss: 0.3197	LR: 0.000800
Training Epoch: 16 [11776/46250]	Loss: 0.2887	LR: 0.000800
Training Epoch: 16 [12032/46250]	Loss: 0.3527	LR: 0.000800
Training Epoch: 16 [12288/46250]	Loss: 0.3254	LR: 0.000800
Training Epoch: 16 [12544/46250]	Loss: 0.3093	LR: 0.000800
Training Epoch: 16 [12800/46250]	Loss: 0.2679	LR: 0.000800
Training Epoch: 16 [13056/46250]	Loss: 0.3162	LR: 0.000800
Training Epoch: 16 [13312/46250]	Loss: 0.3536	LR: 0.000800
Training Epoch: 16 [13568/46250]	Loss: 0.2516	LR: 0.000800
Training Epoch: 16 [13824/46250]	Loss: 0.2776	LR: 0.000800
Training Epoch: 16 [14080/46250]	Loss: 0.2771	LR: 0.000800
Training Epoch: 16 [14336/46250]	Loss: 0.3579	LR: 0.000800
Training Epoch: 16 [14592/46250]	Loss: 0.3061	LR: 0.000800
Training Epoch: 16 [14848/46250]	Loss: 0.3202	LR: 0.000800
Training Epoch: 16 [15104/46250]	Loss: 0.3012	LR: 0.000800
Training Epoch: 16 [15360/46250]	Loss: 0.2663	LR: 0.000800
Training Epoch: 16 [15616/46250]	Loss: 0.2908	LR: 0.000800
Training Epoch: 16 [15872/46250]	Loss: 0.3388	LR: 0.000800
Training Epoch: 16 [16128/46250]	Loss: 0.2758	LR: 0.000800
Training Epoch: 16 [16384/46250]	Loss: 0.3009	LR: 0.000800
Training Epoch: 16 [16640/46250]	Loss: 0.3139	LR: 0.000800
Training Epoch: 16 [16896/46250]	Loss: 0.2984	LR: 0.000800
Training Epoch: 16 [17152/46250]	Loss: 0.2937	LR: 0.000800
Training Epoch: 16 [17408/46250]	Loss: 0.2504	LR: 0.000800
Training Epoch: 16 [17664/46250]	Loss: 0.4165	LR: 0.000800
Training Epoch: 16 [17920/46250]	Loss: 0.3439	LR: 0.000800
Training Epoch: 16 [18176/46250]	Loss: 0.3218	LR: 0.000800
Training Epoch: 16 [18432/46250]	Loss: 0.2695	LR: 0.000800
Training Epoch: 16 [18688/46250]	Loss: 0.2804	LR: 0.000800
Training Epoch: 16 [18944/46250]	Loss: 0.3208	LR: 0.000800
Training Epoch: 16 [19200/46250]	Loss: 0.2761	LR: 0.000800
Training Epoch: 16 [19456/46250]	Loss: 0.3445	LR: 0.000800
Training Epoch: 16 [19712/46250]	Loss: 0.2814	LR: 0.000800
Training Epoch: 16 [19968/46250]	Loss: 0.2630	LR: 0.000800
Training Epoch: 16 [20224/46250]	Loss: 0.3502	LR: 0.000800
Training Epoch: 16 [20480/46250]	Loss: 0.3077	LR: 0.000800
Training Epoch: 16 [20736/46250]	Loss: 0.3832	LR: 0.000800
Training Epoch: 16 [20992/46250]	Loss: 0.3364	LR: 0.000800
Training Epoch: 16 [21248/46250]	Loss: 0.2837	LR: 0.000800
Training Epoch: 16 [21504/46250]	Loss: 0.3667	LR: 0.000800
Training Epoch: 16 [21760/46250]	Loss: 0.3289	LR: 0.000800
Training Epoch: 16 [22016/46250]	Loss: 0.3694	LR: 0.000800
Training Epoch: 16 [22272/46250]	Loss: 0.3659	LR: 0.000800
Training Epoch: 16 [22528/46250]	Loss: 0.3018	LR: 0.000800
Training Epoch: 16 [22784/46250]	Loss: 0.3734	LR: 0.000800
Training Epoch: 16 [23040/46250]	Loss: 0.3503	LR: 0.000800
Training Epoch: 16 [23296/46250]	Loss: 0.3576	LR: 0.000800
Training Epoch: 16 [23552/46250]	Loss: 0.2977	LR: 0.000800
Training Epoch: 16 [23808/46250]	Loss: 0.3238	LR: 0.000800
Training Epoch: 16 [24064/46250]	Loss: 0.2876	LR: 0.000800
Training Epoch: 16 [24320/46250]	Loss: 0.3655	LR: 0.000800
Training Epoch: 16 [24576/46250]	Loss: 0.3383	LR: 0.000800
Training Epoch: 16 [24832/46250]	Loss: 0.4271	LR: 0.000800
Training Epoch: 16 [25088/46250]	Loss: 0.2536	LR: 0.000800
Training Epoch: 16 [25344/46250]	Loss: 0.2901	LR: 0.000800
Training Epoch: 16 [25600/46250]	Loss: 0.3262	LR: 0.000800
Training Epoch: 16 [25856/46250]	Loss: 0.3090	LR: 0.000800
Training Epoch: 16 [26112/46250]	Loss: 0.3230	LR: 0.000800
Training Epoch: 16 [26368/46250]	Loss: 0.3095	LR: 0.000800
Training Epoch: 16 [26624/46250]	Loss: 0.2831	LR: 0.000800
Training Epoch: 16 [26880/46250]	Loss: 0.3208	LR: 0.000800
Training Epoch: 16 [27136/46250]	Loss: 0.3123	LR: 0.000800
Training Epoch: 16 [27392/46250]	Loss: 0.3705	LR: 0.000800
Training Epoch: 16 [27648/46250]	Loss: 0.3129	LR: 0.000800
Training Epoch: 16 [27904/46250]	Loss: 0.3034	LR: 0.000800
Training Epoch: 16 [28160/46250]	Loss: 0.3186	LR: 0.000800
Training Epoch: 16 [28416/46250]	Loss: 0.2909	LR: 0.000800
Training Epoch: 16 [28672/46250]	Loss: 0.2546	LR: 0.000800
Training Epoch: 16 [28928/46250]	Loss: 0.2558	LR: 0.000800
Training Epoch: 16 [29184/46250]	Loss: 0.3160	LR: 0.000800
Training Epoch: 16 [29440/46250]	Loss: 0.3210	LR: 0.000800
Training Epoch: 16 [29696/46250]	Loss: 0.3628	LR: 0.000800
Training Epoch: 16 [29952/46250]	Loss: 0.2944	LR: 0.000800
Training Epoch: 16 [30208/46250]	Loss: 0.3045	LR: 0.000800
Training Epoch: 16 [30464/46250]	Loss: 0.2831	LR: 0.000800
Training Epoch: 16 [30720/46250]	Loss: 0.3561	LR: 0.000800
Training Epoch: 16 [30976/46250]	Loss: 0.2657	LR: 0.000800
Training Epoch: 16 [31232/46250]	Loss: 0.3054	LR: 0.000800
Training Epoch: 16 [31488/46250]	Loss: 0.2425	LR: 0.000800
Training Epoch: 16 [31744/46250]	Loss: 0.3494	LR: 0.000800
Training Epoch: 16 [32000/46250]	Loss: 0.4279	LR: 0.000800
Training Epoch: 16 [32256/46250]	Loss: 0.3454	LR: 0.000800
Training Epoch: 16 [32512/46250]	Loss: 0.3808	LR: 0.000800
Training Epoch: 16 [32768/46250]	Loss: 0.3221	LR: 0.000800
Training Epoch: 16 [33024/46250]	Loss: 0.2488	LR: 0.000800
Training Epoch: 16 [33280/46250]	Loss: 0.3177	LR: 0.000800
Training Epoch: 16 [33536/46250]	Loss: 0.3714	LR: 0.000800
Training Epoch: 16 [33792/46250]	Loss: 0.2980	LR: 0.000800
Training Epoch: 16 [34048/46250]	Loss: 0.2753	LR: 0.000800
Training Epoch: 16 [34304/46250]	Loss: 0.3213	LR: 0.000800
Training Epoch: 16 [34560/46250]	Loss: 0.3508	LR: 0.000800
Training Epoch: 16 [34816/46250]	Loss: 0.2933	LR: 0.000800
Training Epoch: 16 [35072/46250]	Loss: 0.3783	LR: 0.000800
Training Epoch: 16 [35328/46250]	Loss: 0.3324	LR: 0.000800
Training Epoch: 16 [35584/46250]	Loss: 0.3999	LR: 0.000800
Training Epoch: 16 [35840/46250]	Loss: 0.2779	LR: 0.000800
Training Epoch: 16 [36096/46250]	Loss: 0.2560	LR: 0.000800
Training Epoch: 16 [36352/46250]	Loss: 0.3311	LR: 0.000800
Training Epoch: 16 [36608/46250]	Loss: 0.2668	LR: 0.000800
Training Epoch: 16 [36864/46250]	Loss: 0.3108	LR: 0.000800
Training Epoch: 16 [37120/46250]	Loss: 0.2835	LR: 0.000800
Training Epoch: 16 [37376/46250]	Loss: 0.2611	LR: 0.000800
Training Epoch: 16 [37632/46250]	Loss: 0.3029	LR: 0.000800
Training Epoch: 16 [37888/46250]	Loss: 0.3092	LR: 0.000800
Training Epoch: 16 [38144/46250]	Loss: 0.3356	LR: 0.000800
Training Epoch: 16 [38400/46250]	Loss: 0.2818	LR: 0.000800
Training Epoch: 16 [38656/46250]	Loss: 0.3109	LR: 0.000800
Training Epoch: 16 [38912/46250]	Loss: 0.3444	LR: 0.000800
Training Epoch: 16 [39168/46250]	Loss: 0.4085	LR: 0.000800
Training Epoch: 16 [39424/46250]	Loss: 0.4202	LR: 0.000800
Training Epoch: 16 [39680/46250]	Loss: 0.3534	LR: 0.000800
Training Epoch: 16 [39936/46250]	Loss: 0.3169	LR: 0.000800
Training Epoch: 16 [40192/46250]	Loss: 0.3439	LR: 0.000800
Training Epoch: 16 [40448/46250]	Loss: 0.2355	LR: 0.000800
Training Epoch: 16 [40704/46250]	Loss: 0.3562	LR: 0.000800
Training Epoch: 16 [40960/46250]	Loss: 0.2868	LR: 0.000800
Training Epoch: 16 [41216/46250]	Loss: 0.3085	LR: 0.000800
Training Epoch: 16 [41472/46250]	Loss: 0.3218	LR: 0.000800
Training Epoch: 16 [41728/46250]	Loss: 0.3506	LR: 0.000800
Training Epoch: 16 [41984/46250]	Loss: 0.3983	LR: 0.000800
Training Epoch: 16 [42240/46250]	Loss: 0.3417	LR: 0.000800
Training Epoch: 16 [42496/46250]	Loss: 0.3125	LR: 0.000800
Training Epoch: 16 [42752/46250]	Loss: 0.3333	LR: 0.000800
Training Epoch: 16 [43008/46250]	Loss: 0.2724	LR: 0.000800
Training Epoch: 16 [43264/46250]	Loss: 0.3118	LR: 0.000800
Training Epoch: 16 [43520/46250]	Loss: 0.2948	LR: 0.000800
Training Epoch: 16 [43776/46250]	Loss: 0.3615	LR: 0.000800
Training Epoch: 16 [44032/46250]	Loss: 0.3021	LR: 0.000800
Training Epoch: 16 [44288/46250]	Loss: 0.3116	LR: 0.000800
Training Epoch: 16 [44544/46250]	Loss: 0.2936	LR: 0.000800
Training Epoch: 16 [44800/46250]	Loss: 0.3374	LR: 0.000800
Training Epoch: 16 [45056/46250]	Loss: 0.2739	LR: 0.000800
Training Epoch: 16 [45312/46250]	Loss: 0.2681	LR: 0.000800
Training Epoch: 16 [45568/46250]	Loss: 0.3331	LR: 0.000800
Training Epoch: 16 [45824/46250]	Loss: 0.2989	LR: 0.000800
Training Epoch: 16 [46080/46250]	Loss: 0.2914	LR: 0.000800
Training Epoch: 16 [46250/46250]	Loss: 0.4012	LR: 0.000800
Epoch 16 - Average Train Loss: 0.3189, Train Accuracy: 0.8919
Epoch 16 training time consumed: 25.38s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0015, Accuracy: 0.8744, Time consumed:0.89s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_21h_58m_05s/AllCNN-Cifar10-seed10-ret25-16-best.pth
Training Epoch: 17 [256/46250]	Loss: 0.2690	LR: 0.000800
Training Epoch: 17 [512/46250]	Loss: 0.3163	LR: 0.000800
Training Epoch: 17 [768/46250]	Loss: 0.3430	LR: 0.000800
Training Epoch: 17 [1024/46250]	Loss: 0.3373	LR: 0.000800
Training Epoch: 17 [1280/46250]	Loss: 0.2887	LR: 0.000800
Training Epoch: 17 [1536/46250]	Loss: 0.2786	LR: 0.000800
Training Epoch: 17 [1792/46250]	Loss: 0.3014	LR: 0.000800
Training Epoch: 17 [2048/46250]	Loss: 0.3678	LR: 0.000800
Training Epoch: 17 [2304/46250]	Loss: 0.2779	LR: 0.000800
Training Epoch: 17 [2560/46250]	Loss: 0.3531	LR: 0.000800
Training Epoch: 17 [2816/46250]	Loss: 0.2866	LR: 0.000800
Training Epoch: 17 [3072/46250]	Loss: 0.2727	LR: 0.000800
Training Epoch: 17 [3328/46250]	Loss: 0.3088	LR: 0.000800
Training Epoch: 17 [3584/46250]	Loss: 0.3605	LR: 0.000800
Training Epoch: 17 [3840/46250]	Loss: 0.3137	LR: 0.000800
Training Epoch: 17 [4096/46250]	Loss: 0.2854	LR: 0.000800
Training Epoch: 17 [4352/46250]	Loss: 0.3540	LR: 0.000800
Training Epoch: 17 [4608/46250]	Loss: 0.3444	LR: 0.000800
Training Epoch: 17 [4864/46250]	Loss: 0.3648	LR: 0.000800
Training Epoch: 17 [5120/46250]	Loss: 0.3200	LR: 0.000800
Training Epoch: 17 [5376/46250]	Loss: 0.3005	LR: 0.000800
Training Epoch: 17 [5632/46250]	Loss: 0.3062	LR: 0.000800
Training Epoch: 17 [5888/46250]	Loss: 0.2569	LR: 0.000800
Training Epoch: 17 [6144/46250]	Loss: 0.2903	LR: 0.000800
Training Epoch: 17 [6400/46250]	Loss: 0.3241	LR: 0.000800
Training Epoch: 17 [6656/46250]	Loss: 0.3255	LR: 0.000800
Training Epoch: 17 [6912/46250]	Loss: 0.2995	LR: 0.000800
Training Epoch: 17 [7168/46250]	Loss: 0.2486	LR: 0.000800
Training Epoch: 17 [7424/46250]	Loss: 0.2739	LR: 0.000800
Training Epoch: 17 [7680/46250]	Loss: 0.3613	LR: 0.000800
Training Epoch: 17 [7936/46250]	Loss: 0.3436	LR: 0.000800
Training Epoch: 17 [8192/46250]	Loss: 0.3282	LR: 0.000800
Training Epoch: 17 [8448/46250]	Loss: 0.3495	LR: 0.000800
Training Epoch: 17 [8704/46250]	Loss: 0.3638	LR: 0.000800
Training Epoch: 17 [8960/46250]	Loss: 0.2968	LR: 0.000800
Training Epoch: 17 [9216/46250]	Loss: 0.2672	LR: 0.000800
Training Epoch: 17 [9472/46250]	Loss: 0.3862	LR: 0.000800
Training Epoch: 17 [9728/46250]	Loss: 0.2415	LR: 0.000800
Training Epoch: 17 [9984/46250]	Loss: 0.2673	LR: 0.000800
Training Epoch: 17 [10240/46250]	Loss: 0.3057	LR: 0.000800
Training Epoch: 17 [10496/46250]	Loss: 0.2850	LR: 0.000800
Training Epoch: 17 [10752/46250]	Loss: 0.3318	LR: 0.000800
Training Epoch: 17 [11008/46250]	Loss: 0.2918	LR: 0.000800
Training Epoch: 17 [11264/46250]	Loss: 0.3678	LR: 0.000800
Training Epoch: 17 [11520/46250]	Loss: 0.3231	LR: 0.000800
Training Epoch: 17 [11776/46250]	Loss: 0.2960	LR: 0.000800
Training Epoch: 17 [12032/46250]	Loss: 0.3090	LR: 0.000800
Training Epoch: 17 [12288/46250]	Loss: 0.3080	LR: 0.000800
Training Epoch: 17 [12544/46250]	Loss: 0.3804	LR: 0.000800
Training Epoch: 17 [12800/46250]	Loss: 0.3323	LR: 0.000800
Training Epoch: 17 [13056/46250]	Loss: 0.3708	LR: 0.000800
Training Epoch: 17 [13312/46250]	Loss: 0.3041	LR: 0.000800
Training Epoch: 17 [13568/46250]	Loss: 0.3973	LR: 0.000800
Training Epoch: 17 [13824/46250]	Loss: 0.2796	LR: 0.000800
Training Epoch: 17 [14080/46250]	Loss: 0.3541	LR: 0.000800
Training Epoch: 17 [14336/46250]	Loss: 0.2496	LR: 0.000800
Training Epoch: 17 [14592/46250]	Loss: 0.2792	LR: 0.000800
Training Epoch: 17 [14848/46250]	Loss: 0.2367	LR: 0.000800
Training Epoch: 17 [15104/46250]	Loss: 0.2459	LR: 0.000800
Training Epoch: 17 [15360/46250]	Loss: 0.2876	LR: 0.000800
Training Epoch: 17 [15616/46250]	Loss: 0.2567	LR: 0.000800
Training Epoch: 17 [15872/46250]	Loss: 0.2607	LR: 0.000800
Training Epoch: 17 [16128/46250]	Loss: 0.2769	LR: 0.000800
Training Epoch: 17 [16384/46250]	Loss: 0.3745	LR: 0.000800
Training Epoch: 17 [16640/46250]	Loss: 0.3742	LR: 0.000800
Training Epoch: 17 [16896/46250]	Loss: 0.2826	LR: 0.000800
Training Epoch: 17 [17152/46250]	Loss: 0.2700	LR: 0.000800
Training Epoch: 17 [17408/46250]	Loss: 0.2420	LR: 0.000800
Training Epoch: 17 [17664/46250]	Loss: 0.3704	LR: 0.000800
Training Epoch: 17 [17920/46250]	Loss: 0.2957	LR: 0.000800
Training Epoch: 17 [18176/46250]	Loss: 0.3014	LR: 0.000800
Training Epoch: 17 [18432/46250]	Loss: 0.3025	LR: 0.000800
Training Epoch: 17 [18688/46250]	Loss: 0.3363	LR: 0.000800
Training Epoch: 17 [18944/46250]	Loss: 0.3180	LR: 0.000800
Training Epoch: 17 [19200/46250]	Loss: 0.2913	LR: 0.000800
Training Epoch: 17 [19456/46250]	Loss: 0.3158	LR: 0.000800
Training Epoch: 17 [19712/46250]	Loss: 0.2804	LR: 0.000800
Training Epoch: 17 [19968/46250]	Loss: 0.3465	LR: 0.000800
Training Epoch: 17 [20224/46250]	Loss: 0.3716	LR: 0.000800
Training Epoch: 17 [20480/46250]	Loss: 0.4043	LR: 0.000800
Training Epoch: 17 [20736/46250]	Loss: 0.3171	LR: 0.000800
Training Epoch: 17 [20992/46250]	Loss: 0.3494	LR: 0.000800
Training Epoch: 17 [21248/46250]	Loss: 0.3202	LR: 0.000800
Training Epoch: 17 [21504/46250]	Loss: 0.3449	LR: 0.000800
Training Epoch: 17 [21760/46250]	Loss: 0.2720	LR: 0.000800
Training Epoch: 17 [22016/46250]	Loss: 0.3085	LR: 0.000800
Training Epoch: 17 [22272/46250]	Loss: 0.3428	LR: 0.000800
Training Epoch: 17 [22528/46250]	Loss: 0.2998	LR: 0.000800
Training Epoch: 17 [22784/46250]	Loss: 0.3109	LR: 0.000800
Training Epoch: 17 [23040/46250]	Loss: 0.3193	LR: 0.000800
Training Epoch: 17 [23296/46250]	Loss: 0.3323	LR: 0.000800
Training Epoch: 17 [23552/46250]	Loss: 0.3584	LR: 0.000800
Training Epoch: 17 [23808/46250]	Loss: 0.2939	LR: 0.000800
Training Epoch: 17 [24064/46250]	Loss: 0.2943	LR: 0.000800
Training Epoch: 17 [24320/46250]	Loss: 0.3205	LR: 0.000800
Training Epoch: 17 [24576/46250]	Loss: 0.3111	LR: 0.000800
Training Epoch: 17 [24832/46250]	Loss: 0.3026	LR: 0.000800
Training Epoch: 17 [25088/46250]	Loss: 0.3614	LR: 0.000800
Training Epoch: 17 [25344/46250]	Loss: 0.2827	LR: 0.000800
Training Epoch: 17 [25600/46250]	Loss: 0.4571	LR: 0.000800
Training Epoch: 17 [25856/46250]	Loss: 0.3685	LR: 0.000800
Training Epoch: 17 [26112/46250]	Loss: 0.3818	LR: 0.000800
Training Epoch: 17 [26368/46250]	Loss: 0.3508	LR: 0.000800
Training Epoch: 17 [26624/46250]	Loss: 0.3268	LR: 0.000800
Training Epoch: 17 [26880/46250]	Loss: 0.3403	LR: 0.000800
Training Epoch: 17 [27136/46250]	Loss: 0.2511	LR: 0.000800
Training Epoch: 17 [27392/46250]	Loss: 0.3004	LR: 0.000800
Training Epoch: 17 [27648/46250]	Loss: 0.3325	LR: 0.000800
Training Epoch: 17 [27904/46250]	Loss: 0.4054	LR: 0.000800
Training Epoch: 17 [28160/46250]	Loss: 0.2268	LR: 0.000800
Training Epoch: 17 [28416/46250]	Loss: 0.2778	LR: 0.000800
Training Epoch: 17 [28672/46250]	Loss: 0.3248	LR: 0.000800
Training Epoch: 17 [28928/46250]	Loss: 0.3215	LR: 0.000800
Training Epoch: 17 [29184/46250]	Loss: 0.3618	LR: 0.000800
Training Epoch: 17 [29440/46250]	Loss: 0.3262	LR: 0.000800
Training Epoch: 17 [29696/46250]	Loss: 0.3641	LR: 0.000800
Training Epoch: 17 [29952/46250]	Loss: 0.3470	LR: 0.000800
Training Epoch: 17 [30208/46250]	Loss: 0.3148	LR: 0.000800
Training Epoch: 17 [30464/46250]	Loss: 0.3366	LR: 0.000800
Training Epoch: 17 [30720/46250]	Loss: 0.2565	LR: 0.000800
Training Epoch: 17 [30976/46250]	Loss: 0.2760	LR: 0.000800
Training Epoch: 17 [31232/46250]	Loss: 0.2651	LR: 0.000800
Training Epoch: 17 [31488/46250]	Loss: 0.2582	LR: 0.000800
Training Epoch: 17 [31744/46250]	Loss: 0.3419	LR: 0.000800
Training Epoch: 17 [32000/46250]	Loss: 0.3422	LR: 0.000800
Training Epoch: 17 [32256/46250]	Loss: 0.3593	LR: 0.000800
Training Epoch: 17 [32512/46250]	Loss: 0.2638	LR: 0.000800
Training Epoch: 17 [32768/46250]	Loss: 0.3039	LR: 0.000800
Training Epoch: 17 [33024/46250]	Loss: 0.3474	LR: 0.000800
Training Epoch: 17 [33280/46250]	Loss: 0.3402	LR: 0.000800
Training Epoch: 17 [33536/46250]	Loss: 0.3344	LR: 0.000800
Training Epoch: 17 [33792/46250]	Loss: 0.3723	LR: 0.000800
Training Epoch: 17 [34048/46250]	Loss: 0.2805	LR: 0.000800
Training Epoch: 17 [34304/46250]	Loss: 0.3626	LR: 0.000800
Training Epoch: 17 [34560/46250]	Loss: 0.3495	LR: 0.000800
Training Epoch: 17 [34816/46250]	Loss: 0.4103	LR: 0.000800
Training Epoch: 17 [35072/46250]	Loss: 0.3825	LR: 0.000800
Training Epoch: 17 [35328/46250]	Loss: 0.4093	LR: 0.000800
Training Epoch: 17 [35584/46250]	Loss: 0.3288	LR: 0.000800
Training Epoch: 17 [35840/46250]	Loss: 0.2542	LR: 0.000800
Training Epoch: 17 [36096/46250]	Loss: 0.3125	LR: 0.000800
Training Epoch: 17 [36352/46250]	Loss: 0.2884	LR: 0.000800
Training Epoch: 17 [36608/46250]	Loss: 0.2887	LR: 0.000800
Training Epoch: 17 [36864/46250]	Loss: 0.3515	LR: 0.000800
Training Epoch: 17 [37120/46250]	Loss: 0.3095	LR: 0.000800
Training Epoch: 17 [37376/46250]	Loss: 0.2869	LR: 0.000800
Training Epoch: 17 [37632/46250]	Loss: 0.2934	LR: 0.000800
Training Epoch: 17 [37888/46250]	Loss: 0.3705	LR: 0.000800
Training Epoch: 17 [38144/46250]	Loss: 0.2480	LR: 0.000800
Training Epoch: 17 [38400/46250]	Loss: 0.2516	LR: 0.000800
Training Epoch: 17 [38656/46250]	Loss: 0.3391	LR: 0.000800
Training Epoch: 17 [38912/46250]	Loss: 0.3357	LR: 0.000800
Training Epoch: 17 [39168/46250]	Loss: 0.3458	LR: 0.000800
Training Epoch: 17 [39424/46250]	Loss: 0.3452	LR: 0.000800
Training Epoch: 17 [39680/46250]	Loss: 0.2859	LR: 0.000800
Training Epoch: 17 [39936/46250]	Loss: 0.3682	LR: 0.000800
Training Epoch: 17 [40192/46250]	Loss: 0.3158	LR: 0.000800
Training Epoch: 17 [40448/46250]	Loss: 0.3082	LR: 0.000800
Training Epoch: 17 [40704/46250]	Loss: 0.2754	LR: 0.000800
Training Epoch: 17 [40960/46250]	Loss: 0.3689	LR: 0.000800
Training Epoch: 17 [41216/46250]	Loss: 0.3208	LR: 0.000800
Training Epoch: 17 [41472/46250]	Loss: 0.3223	LR: 0.000800
Training Epoch: 17 [41728/46250]	Loss: 0.2820	LR: 0.000800
Training Epoch: 17 [41984/46250]	Loss: 0.3653	LR: 0.000800
Training Epoch: 17 [42240/46250]	Loss: 0.2630	LR: 0.000800
Training Epoch: 17 [42496/46250]	Loss: 0.2727	LR: 0.000800
Training Epoch: 17 [42752/46250]	Loss: 0.3688	LR: 0.000800
Training Epoch: 17 [43008/46250]	Loss: 0.2762	LR: 0.000800
Training Epoch: 17 [43264/46250]	Loss: 0.2981	LR: 0.000800
Training Epoch: 17 [43520/46250]	Loss: 0.2872	LR: 0.000800
Training Epoch: 17 [43776/46250]	Loss: 0.2862	LR: 0.000800
Training Epoch: 17 [44032/46250]	Loss: 0.3190	LR: 0.000800
Training Epoch: 17 [44288/46250]	Loss: 0.3346	LR: 0.000800
Training Epoch: 17 [44544/46250]	Loss: 0.2370	LR: 0.000800
Training Epoch: 17 [44800/46250]	Loss: 0.2497	LR: 0.000800
Training Epoch: 17 [45056/46250]	Loss: 0.2374	LR: 0.000800
Training Epoch: 17 [45312/46250]	Loss: 0.2720	LR: 0.000800
Training Epoch: 17 [45568/46250]	Loss: 0.3699	LR: 0.000800
Training Epoch: 17 [45824/46250]	Loss: 0.3731	LR: 0.000800
Training Epoch: 17 [46080/46250]	Loss: 0.3171	LR: 0.000800
Training Epoch: 17 [46250/46250]	Loss: 0.3546	LR: 0.000800
Epoch 17 - Average Train Loss: 0.3164, Train Accuracy: 0.8940
Epoch 17 training time consumed: 25.37s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0015, Accuracy: 0.8746, Time consumed:0.92s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_21h_58m_05s/AllCNN-Cifar10-seed10-ret25-17-best.pth
Training Epoch: 18 [256/46250]	Loss: 0.2780	LR: 0.000800
Training Epoch: 18 [512/46250]	Loss: 0.3170	LR: 0.000800
Training Epoch: 18 [768/46250]	Loss: 0.3060	LR: 0.000800
Training Epoch: 18 [1024/46250]	Loss: 0.3439	LR: 0.000800
Training Epoch: 18 [1280/46250]	Loss: 0.2967	LR: 0.000800
Training Epoch: 18 [1536/46250]	Loss: 0.3177	LR: 0.000800
Training Epoch: 18 [1792/46250]	Loss: 0.2631	LR: 0.000800
Training Epoch: 18 [2048/46250]	Loss: 0.3129	LR: 0.000800
Training Epoch: 18 [2304/46250]	Loss: 0.3566	LR: 0.000800
Training Epoch: 18 [2560/46250]	Loss: 0.3985	LR: 0.000800
Training Epoch: 18 [2816/46250]	Loss: 0.3657	LR: 0.000800
Training Epoch: 18 [3072/46250]	Loss: 0.3338	LR: 0.000800
Training Epoch: 18 [3328/46250]	Loss: 0.3509	LR: 0.000800
Training Epoch: 18 [3584/46250]	Loss: 0.3573	LR: 0.000800
Training Epoch: 18 [3840/46250]	Loss: 0.2278	LR: 0.000800
Training Epoch: 18 [4096/46250]	Loss: 0.3294	LR: 0.000800
Training Epoch: 18 [4352/46250]	Loss: 0.2830	LR: 0.000800
Training Epoch: 18 [4608/46250]	Loss: 0.2976	LR: 0.000800
Training Epoch: 18 [4864/46250]	Loss: 0.2461	LR: 0.000800
Training Epoch: 18 [5120/46250]	Loss: 0.2750	LR: 0.000800
Training Epoch: 18 [5376/46250]	Loss: 0.3190	LR: 0.000800
Training Epoch: 18 [5632/46250]	Loss: 0.2722	LR: 0.000800
Training Epoch: 18 [5888/46250]	Loss: 0.3156	LR: 0.000800
Training Epoch: 18 [6144/46250]	Loss: 0.2087	LR: 0.000800
Training Epoch: 18 [6400/46250]	Loss: 0.3302	LR: 0.000800
Training Epoch: 18 [6656/46250]	Loss: 0.3124	LR: 0.000800
Training Epoch: 18 [6912/46250]	Loss: 0.3512	LR: 0.000800
Training Epoch: 18 [7168/46250]	Loss: 0.2998	LR: 0.000800
Training Epoch: 18 [7424/46250]	Loss: 0.2929	LR: 0.000800
Training Epoch: 18 [7680/46250]	Loss: 0.2708	LR: 0.000800
Training Epoch: 18 [7936/46250]	Loss: 0.3208	LR: 0.000800
Training Epoch: 18 [8192/46250]	Loss: 0.3443	LR: 0.000800
Training Epoch: 18 [8448/46250]	Loss: 0.3335	LR: 0.000800
Training Epoch: 18 [8704/46250]	Loss: 0.2955	LR: 0.000800
Training Epoch: 18 [8960/46250]	Loss: 0.2877	LR: 0.000800
Training Epoch: 18 [9216/46250]	Loss: 0.3887	LR: 0.000800
Training Epoch: 18 [9472/46250]	Loss: 0.3898	LR: 0.000800
Training Epoch: 18 [9728/46250]	Loss: 0.3813	LR: 0.000800
Training Epoch: 18 [9984/46250]	Loss: 0.3097	LR: 0.000800
Training Epoch: 18 [10240/46250]	Loss: 0.3062	LR: 0.000800
Training Epoch: 18 [10496/46250]	Loss: 0.3181	LR: 0.000800
Training Epoch: 18 [10752/46250]	Loss: 0.2578	LR: 0.000800
Training Epoch: 18 [11008/46250]	Loss: 0.2655	LR: 0.000800
Training Epoch: 18 [11264/46250]	Loss: 0.3490	LR: 0.000800
Training Epoch: 18 [11520/46250]	Loss: 0.3151	LR: 0.000800
Training Epoch: 18 [11776/46250]	Loss: 0.3142	LR: 0.000800
Training Epoch: 18 [12032/46250]	Loss: 0.2985	LR: 0.000800
Training Epoch: 18 [12288/46250]	Loss: 0.3618	LR: 0.000800
Training Epoch: 18 [12544/46250]	Loss: 0.2667	LR: 0.000800
Training Epoch: 18 [12800/46250]	Loss: 0.2823	LR: 0.000800
Training Epoch: 18 [13056/46250]	Loss: 0.3126	LR: 0.000800
Training Epoch: 18 [13312/46250]	Loss: 0.3035	LR: 0.000800
Training Epoch: 18 [13568/46250]	Loss: 0.3058	LR: 0.000800
Training Epoch: 18 [13824/46250]	Loss: 0.4088	LR: 0.000800
Training Epoch: 18 [14080/46250]	Loss: 0.2752	LR: 0.000800
Training Epoch: 18 [14336/46250]	Loss: 0.2767	LR: 0.000800
Training Epoch: 18 [14592/46250]	Loss: 0.3472	LR: 0.000800
Training Epoch: 18 [14848/46250]	Loss: 0.3904	LR: 0.000800
Training Epoch: 18 [15104/46250]	Loss: 0.3530	LR: 0.000800
Training Epoch: 18 [15360/46250]	Loss: 0.2660	LR: 0.000800
Training Epoch: 18 [15616/46250]	Loss: 0.2663	LR: 0.000800
Training Epoch: 18 [15872/46250]	Loss: 0.2989	LR: 0.000800
Training Epoch: 18 [16128/46250]	Loss: 0.3143	LR: 0.000800
Training Epoch: 18 [16384/46250]	Loss: 0.2536	LR: 0.000800
Training Epoch: 18 [16640/46250]	Loss: 0.2940	LR: 0.000800
Training Epoch: 18 [16896/46250]	Loss: 0.2540	LR: 0.000800
Training Epoch: 18 [17152/46250]	Loss: 0.2577	LR: 0.000800
Training Epoch: 18 [17408/46250]	Loss: 0.3377	LR: 0.000800
Training Epoch: 18 [17664/46250]	Loss: 0.3020	LR: 0.000800
Training Epoch: 18 [17920/46250]	Loss: 0.3134	LR: 0.000800
Training Epoch: 18 [18176/46250]	Loss: 0.3331	LR: 0.000800
Training Epoch: 18 [18432/46250]	Loss: 0.3041	LR: 0.000800
Training Epoch: 18 [18688/46250]	Loss: 0.2773	LR: 0.000800
Training Epoch: 18 [18944/46250]	Loss: 0.3546	LR: 0.000800
Training Epoch: 18 [19200/46250]	Loss: 0.2875	LR: 0.000800
Training Epoch: 18 [19456/46250]	Loss: 0.2773	LR: 0.000800
Training Epoch: 18 [19712/46250]	Loss: 0.2512	LR: 0.000800
Training Epoch: 18 [19968/46250]	Loss: 0.3650	LR: 0.000800
Training Epoch: 18 [20224/46250]	Loss: 0.3256	LR: 0.000800
Training Epoch: 18 [20480/46250]	Loss: 0.3475	LR: 0.000800
Training Epoch: 18 [20736/46250]	Loss: 0.3077	LR: 0.000800
Training Epoch: 18 [20992/46250]	Loss: 0.1958	LR: 0.000800
Training Epoch: 18 [21248/46250]	Loss: 0.2614	LR: 0.000800
Training Epoch: 18 [21504/46250]	Loss: 0.3407	LR: 0.000800
Training Epoch: 18 [21760/46250]	Loss: 0.3109	LR: 0.000800
Training Epoch: 18 [22016/46250]	Loss: 0.3859	LR: 0.000800
Training Epoch: 18 [22272/46250]	Loss: 0.3172	LR: 0.000800
Training Epoch: 18 [22528/46250]	Loss: 0.2659	LR: 0.000800
Training Epoch: 18 [22784/46250]	Loss: 0.2679	LR: 0.000800
Training Epoch: 18 [23040/46250]	Loss: 0.3484	LR: 0.000800
Training Epoch: 18 [23296/46250]	Loss: 0.3265	LR: 0.000800
Training Epoch: 18 [23552/46250]	Loss: 0.3147	LR: 0.000800
Training Epoch: 18 [23808/46250]	Loss: 0.2744	LR: 0.000800
Training Epoch: 18 [24064/46250]	Loss: 0.3478	LR: 0.000800
Training Epoch: 18 [24320/46250]	Loss: 0.3412	LR: 0.000800
Training Epoch: 18 [24576/46250]	Loss: 0.3111	LR: 0.000800
Training Epoch: 18 [24832/46250]	Loss: 0.2955	LR: 0.000800
Training Epoch: 18 [25088/46250]	Loss: 0.3478	LR: 0.000800
Training Epoch: 18 [25344/46250]	Loss: 0.2953	LR: 0.000800
Training Epoch: 18 [25600/46250]	Loss: 0.3723	LR: 0.000800
Training Epoch: 18 [25856/46250]	Loss: 0.3340	LR: 0.000800
Training Epoch: 18 [26112/46250]	Loss: 0.2825	LR: 0.000800
Training Epoch: 18 [26368/46250]	Loss: 0.3318	LR: 0.000800
Training Epoch: 18 [26624/46250]	Loss: 0.3686	LR: 0.000800
Training Epoch: 18 [26880/46250]	Loss: 0.2771	LR: 0.000800
Training Epoch: 18 [27136/46250]	Loss: 0.3179	LR: 0.000800
Training Epoch: 18 [27392/46250]	Loss: 0.2388	LR: 0.000800
Training Epoch: 18 [27648/46250]	Loss: 0.4131	LR: 0.000800
Training Epoch: 18 [27904/46250]	Loss: 0.3196	LR: 0.000800
Training Epoch: 18 [28160/46250]	Loss: 0.3594	LR: 0.000800
Training Epoch: 18 [28416/46250]	Loss: 0.3461	LR: 0.000800
Training Epoch: 18 [28672/46250]	Loss: 0.3081	LR: 0.000800
Training Epoch: 18 [28928/46250]	Loss: 0.3546	LR: 0.000800
Training Epoch: 18 [29184/46250]	Loss: 0.2198	LR: 0.000800
Training Epoch: 18 [29440/46250]	Loss: 0.2755	LR: 0.000800
Training Epoch: 18 [29696/46250]	Loss: 0.2730	LR: 0.000800
Training Epoch: 18 [29952/46250]	Loss: 0.2678	LR: 0.000800
Training Epoch: 18 [30208/46250]	Loss: 0.2611	LR: 0.000800
Training Epoch: 18 [30464/46250]	Loss: 0.3591	LR: 0.000800
Training Epoch: 18 [30720/46250]	Loss: 0.3225	LR: 0.000800
Training Epoch: 18 [30976/46250]	Loss: 0.3344	LR: 0.000800
Training Epoch: 18 [31232/46250]	Loss: 0.3433	LR: 0.000800
Training Epoch: 18 [31488/46250]	Loss: 0.2896	LR: 0.000800
Training Epoch: 18 [31744/46250]	Loss: 0.3421	LR: 0.000800
Training Epoch: 18 [32000/46250]	Loss: 0.3730	LR: 0.000800
Training Epoch: 18 [32256/46250]	Loss: 0.3944	LR: 0.000800
Training Epoch: 18 [32512/46250]	Loss: 0.3720	LR: 0.000800
Training Epoch: 18 [32768/46250]	Loss: 0.3388	LR: 0.000800
Training Epoch: 18 [33024/46250]	Loss: 0.2856	LR: 0.000800
Training Epoch: 18 [33280/46250]	Loss: 0.3009	LR: 0.000800
Training Epoch: 18 [33536/46250]	Loss: 0.3750	LR: 0.000800
Training Epoch: 18 [33792/46250]	Loss: 0.2772	LR: 0.000800
Training Epoch: 18 [34048/46250]	Loss: 0.3110	LR: 0.000800
Training Epoch: 18 [34304/46250]	Loss: 0.3114	LR: 0.000800
Training Epoch: 18 [34560/46250]	Loss: 0.3006	LR: 0.000800
Training Epoch: 18 [34816/46250]	Loss: 0.3074	LR: 0.000800
Training Epoch: 18 [35072/46250]	Loss: 0.3461	LR: 0.000800
Training Epoch: 18 [35328/46250]	Loss: 0.3329	LR: 0.000800
Training Epoch: 18 [35584/46250]	Loss: 0.3125	LR: 0.000800
Training Epoch: 18 [35840/46250]	Loss: 0.3802	LR: 0.000800
Training Epoch: 18 [36096/46250]	Loss: 0.2517	LR: 0.000800
Training Epoch: 18 [36352/46250]	Loss: 0.3108	LR: 0.000800
Training Epoch: 18 [36608/46250]	Loss: 0.4050	LR: 0.000800
Training Epoch: 18 [36864/46250]	Loss: 0.3327	LR: 0.000800
Training Epoch: 18 [37120/46250]	Loss: 0.2914	LR: 0.000800
Training Epoch: 18 [37376/46250]	Loss: 0.2930	LR: 0.000800
Training Epoch: 18 [37632/46250]	Loss: 0.3416	LR: 0.000800
Training Epoch: 18 [37888/46250]	Loss: 0.3206	LR: 0.000800
Training Epoch: 18 [38144/46250]	Loss: 0.3377	LR: 0.000800
Training Epoch: 18 [38400/46250]	Loss: 0.2702	LR: 0.000800
Training Epoch: 18 [38656/46250]	Loss: 0.2759	LR: 0.000800
Training Epoch: 18 [38912/46250]	Loss: 0.2620	LR: 0.000800
Training Epoch: 18 [39168/46250]	Loss: 0.2797	LR: 0.000800
Training Epoch: 18 [39424/46250]	Loss: 0.3433	LR: 0.000800
Training Epoch: 18 [39680/46250]	Loss: 0.3115	LR: 0.000800
Training Epoch: 18 [39936/46250]	Loss: 0.3987	LR: 0.000800
Training Epoch: 18 [40192/46250]	Loss: 0.3489	LR: 0.000800
Training Epoch: 18 [40448/46250]	Loss: 0.3324	LR: 0.000800
Training Epoch: 18 [40704/46250]	Loss: 0.3137	LR: 0.000800
Training Epoch: 18 [40960/46250]	Loss: 0.3589	LR: 0.000800
Training Epoch: 18 [41216/46250]	Loss: 0.3137	LR: 0.000800
Training Epoch: 18 [41472/46250]	Loss: 0.3510	LR: 0.000800
Training Epoch: 18 [41728/46250]	Loss: 0.3171	LR: 0.000800
Training Epoch: 18 [41984/46250]	Loss: 0.2702	LR: 0.000800
Training Epoch: 18 [42240/46250]	Loss: 0.3094	LR: 0.000800
Training Epoch: 18 [42496/46250]	Loss: 0.3148	LR: 0.000800
Training Epoch: 18 [42752/46250]	Loss: 0.3263	LR: 0.000800
Training Epoch: 18 [43008/46250]	Loss: 0.3515	LR: 0.000800
Training Epoch: 18 [43264/46250]	Loss: 0.3326	LR: 0.000800
Training Epoch: 18 [43520/46250]	Loss: 0.3284	LR: 0.000800
Training Epoch: 18 [43776/46250]	Loss: 0.3134	LR: 0.000800
Training Epoch: 18 [44032/46250]	Loss: 0.3265	LR: 0.000800
Training Epoch: 18 [44288/46250]	Loss: 0.3384	LR: 0.000800
Training Epoch: 18 [44544/46250]	Loss: 0.2733	LR: 0.000800
Training Epoch: 18 [44800/46250]	Loss: 0.3261	LR: 0.000800
Training Epoch: 18 [45056/46250]	Loss: 0.3586	LR: 0.000800
Training Epoch: 18 [45312/46250]	Loss: 0.3075	LR: 0.000800
Training Epoch: 18 [45568/46250]	Loss: 0.3329	LR: 0.000800
Training Epoch: 18 [45824/46250]	Loss: 0.2848	LR: 0.000800
Training Epoch: 18 [46080/46250]	Loss: 0.3561	LR: 0.000800
Training Epoch: 18 [46250/46250]	Loss: 0.2563	LR: 0.000800
Epoch 18 - Average Train Loss: 0.3152, Train Accuracy: 0.8912
Epoch 18 training time consumed: 25.48s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0015, Accuracy: 0.8754, Time consumed:0.92s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_21h_58m_05s/AllCNN-Cifar10-seed10-ret25-18-best.pth
Training Epoch: 19 [256/46250]	Loss: 0.2845	LR: 0.000800
Training Epoch: 19 [512/46250]	Loss: 0.2985	LR: 0.000800
Training Epoch: 19 [768/46250]	Loss: 0.2934	LR: 0.000800
Training Epoch: 19 [1024/46250]	Loss: 0.2524	LR: 0.000800
Training Epoch: 19 [1280/46250]	Loss: 0.2883	LR: 0.000800
Training Epoch: 19 [1536/46250]	Loss: 0.3271	LR: 0.000800
Training Epoch: 19 [1792/46250]	Loss: 0.3126	LR: 0.000800
Training Epoch: 19 [2048/46250]	Loss: 0.2989	LR: 0.000800
Training Epoch: 19 [2304/46250]	Loss: 0.3843	LR: 0.000800
Training Epoch: 19 [2560/46250]	Loss: 0.3558	LR: 0.000800
Training Epoch: 19 [2816/46250]	Loss: 0.2967	LR: 0.000800
Training Epoch: 19 [3072/46250]	Loss: 0.3517	LR: 0.000800
Training Epoch: 19 [3328/46250]	Loss: 0.2974	LR: 0.000800
Training Epoch: 19 [3584/46250]	Loss: 0.3515	LR: 0.000800
Training Epoch: 19 [3840/46250]	Loss: 0.3200	LR: 0.000800
Training Epoch: 19 [4096/46250]	Loss: 0.3691	LR: 0.000800
Training Epoch: 19 [4352/46250]	Loss: 0.3469	LR: 0.000800
Training Epoch: 19 [4608/46250]	Loss: 0.2907	LR: 0.000800
Training Epoch: 19 [4864/46250]	Loss: 0.2522	LR: 0.000800
Training Epoch: 19 [5120/46250]	Loss: 0.3161	LR: 0.000800
Training Epoch: 19 [5376/46250]	Loss: 0.2766	LR: 0.000800
Training Epoch: 19 [5632/46250]	Loss: 0.3139	LR: 0.000800
Training Epoch: 19 [5888/46250]	Loss: 0.3047	LR: 0.000800
Training Epoch: 19 [6144/46250]	Loss: 0.3614	LR: 0.000800
Training Epoch: 19 [6400/46250]	Loss: 0.3807	LR: 0.000800
Training Epoch: 19 [6656/46250]	Loss: 0.3397	LR: 0.000800
Training Epoch: 19 [6912/46250]	Loss: 0.2844	LR: 0.000800
Training Epoch: 19 [7168/46250]	Loss: 0.3386	LR: 0.000800
Training Epoch: 19 [7424/46250]	Loss: 0.2941	LR: 0.000800
Training Epoch: 19 [7680/46250]	Loss: 0.2430	LR: 0.000800
Training Epoch: 19 [7936/46250]	Loss: 0.3682	LR: 0.000800
Training Epoch: 19 [8192/46250]	Loss: 0.3052	LR: 0.000800
Training Epoch: 19 [8448/46250]	Loss: 0.3207	LR: 0.000800
Training Epoch: 19 [8704/46250]	Loss: 0.2793	LR: 0.000800
Training Epoch: 19 [8960/46250]	Loss: 0.2905	LR: 0.000800
Training Epoch: 19 [9216/46250]	Loss: 0.2709	LR: 0.000800
Training Epoch: 19 [9472/46250]	Loss: 0.2487	LR: 0.000800
Training Epoch: 19 [9728/46250]	Loss: 0.2232	LR: 0.000800
Training Epoch: 19 [9984/46250]	Loss: 0.3475	LR: 0.000800
Training Epoch: 19 [10240/46250]	Loss: 0.3278	LR: 0.000800
Training Epoch: 19 [10496/46250]	Loss: 0.3094	LR: 0.000800
Training Epoch: 19 [10752/46250]	Loss: 0.2825	LR: 0.000800
Training Epoch: 19 [11008/46250]	Loss: 0.2671	LR: 0.000800
Training Epoch: 19 [11264/46250]	Loss: 0.3938	LR: 0.000800
Training Epoch: 19 [11520/46250]	Loss: 0.3050	LR: 0.000800
Training Epoch: 19 [11776/46250]	Loss: 0.3163	LR: 0.000800
Training Epoch: 19 [12032/46250]	Loss: 0.2956	LR: 0.000800
Training Epoch: 19 [12288/46250]	Loss: 0.3391	LR: 0.000800
Training Epoch: 19 [12544/46250]	Loss: 0.3109	LR: 0.000800
Training Epoch: 19 [12800/46250]	Loss: 0.3001	LR: 0.000800
Training Epoch: 19 [13056/46250]	Loss: 0.2844	LR: 0.000800
Training Epoch: 19 [13312/46250]	Loss: 0.3788	LR: 0.000800
Training Epoch: 19 [13568/46250]	Loss: 0.3295	LR: 0.000800
Training Epoch: 19 [13824/46250]	Loss: 0.4501	LR: 0.000800
Training Epoch: 19 [14080/46250]	Loss: 0.2969	LR: 0.000800
Training Epoch: 19 [14336/46250]	Loss: 0.3004	LR: 0.000800
Training Epoch: 19 [14592/46250]	Loss: 0.2600	LR: 0.000800
Training Epoch: 19 [14848/46250]	Loss: 0.2778	LR: 0.000800
Training Epoch: 19 [15104/46250]	Loss: 0.3043	LR: 0.000800
Training Epoch: 19 [15360/46250]	Loss: 0.2913	LR: 0.000800
Training Epoch: 19 [15616/46250]	Loss: 0.3386	LR: 0.000800
Training Epoch: 19 [15872/46250]	Loss: 0.3351	LR: 0.000800
Training Epoch: 19 [16128/46250]	Loss: 0.3785	LR: 0.000800
Training Epoch: 19 [16384/46250]	Loss: 0.3616	LR: 0.000800
Training Epoch: 19 [16640/46250]	Loss: 0.3216	LR: 0.000800
Training Epoch: 19 [16896/46250]	Loss: 0.3054	LR: 0.000800
Training Epoch: 19 [17152/46250]	Loss: 0.2908	LR: 0.000800
Training Epoch: 19 [17408/46250]	Loss: 0.3084	LR: 0.000800
Training Epoch: 19 [17664/46250]	Loss: 0.3690	LR: 0.000800
Training Epoch: 19 [17920/46250]	Loss: 0.2602	LR: 0.000800
Training Epoch: 19 [18176/46250]	Loss: 0.2864	LR: 0.000800
Training Epoch: 19 [18432/46250]	Loss: 0.3035	LR: 0.000800
Training Epoch: 19 [18688/46250]	Loss: 0.2811	LR: 0.000800
Training Epoch: 19 [18944/46250]	Loss: 0.3779	LR: 0.000800
Training Epoch: 19 [19200/46250]	Loss: 0.3102	LR: 0.000800
Training Epoch: 19 [19456/46250]	Loss: 0.3806	LR: 0.000800
Training Epoch: 19 [19712/46250]	Loss: 0.2804	LR: 0.000800
Training Epoch: 19 [19968/46250]	Loss: 0.3114	LR: 0.000800
Training Epoch: 19 [20224/46250]	Loss: 0.3874	LR: 0.000800
Training Epoch: 19 [20480/46250]	Loss: 0.3232	LR: 0.000800
Training Epoch: 19 [20736/46250]	Loss: 0.3758	LR: 0.000800
Training Epoch: 19 [20992/46250]	Loss: 0.3281	LR: 0.000800
Training Epoch: 19 [21248/46250]	Loss: 0.3544	LR: 0.000800
Training Epoch: 19 [21504/46250]	Loss: 0.2617	LR: 0.000800
Training Epoch: 19 [21760/46250]	Loss: 0.2953	LR: 0.000800
Training Epoch: 19 [22016/46250]	Loss: 0.2933	LR: 0.000800
Training Epoch: 19 [22272/46250]	Loss: 0.3327	LR: 0.000800
Training Epoch: 19 [22528/46250]	Loss: 0.3288	LR: 0.000800
Training Epoch: 19 [22784/46250]	Loss: 0.3826	LR: 0.000800
Training Epoch: 19 [23040/46250]	Loss: 0.2604	LR: 0.000800
Training Epoch: 19 [23296/46250]	Loss: 0.3116	LR: 0.000800
Training Epoch: 19 [23552/46250]	Loss: 0.3026	LR: 0.000800
Training Epoch: 19 [23808/46250]	Loss: 0.2718	LR: 0.000800
Training Epoch: 19 [24064/46250]	Loss: 0.3915	LR: 0.000800
Training Epoch: 19 [24320/46250]	Loss: 0.3200	LR: 0.000800
Training Epoch: 19 [24576/46250]	Loss: 0.3132	LR: 0.000800
Training Epoch: 19 [24832/46250]	Loss: 0.3202	LR: 0.000800
Training Epoch: 19 [25088/46250]	Loss: 0.3997	LR: 0.000800
Training Epoch: 19 [25344/46250]	Loss: 0.3174	LR: 0.000800
Training Epoch: 19 [25600/46250]	Loss: 0.3030	LR: 0.000800
Training Epoch: 19 [25856/46250]	Loss: 0.3154	LR: 0.000800
Training Epoch: 19 [26112/46250]	Loss: 0.2831	LR: 0.000800
Training Epoch: 19 [26368/46250]	Loss: 0.2759	LR: 0.000800
Training Epoch: 19 [26624/46250]	Loss: 0.2956	LR: 0.000800
Training Epoch: 19 [26880/46250]	Loss: 0.3157	LR: 0.000800
Training Epoch: 19 [27136/46250]	Loss: 0.2964	LR: 0.000800
Training Epoch: 19 [27392/46250]	Loss: 0.2694	LR: 0.000800
Training Epoch: 19 [27648/46250]	Loss: 0.3447	LR: 0.000800
Training Epoch: 19 [27904/46250]	Loss: 0.3548	LR: 0.000800
Training Epoch: 19 [28160/46250]	Loss: 0.3645	LR: 0.000800
Training Epoch: 19 [28416/46250]	Loss: 0.2578	LR: 0.000800
Training Epoch: 19 [28672/46250]	Loss: 0.3305	LR: 0.000800
Training Epoch: 19 [28928/46250]	Loss: 0.2195	LR: 0.000800
Training Epoch: 19 [29184/46250]	Loss: 0.3214	LR: 0.000800
Training Epoch: 19 [29440/46250]	Loss: 0.2846	LR: 0.000800
Training Epoch: 19 [29696/46250]	Loss: 0.2571	LR: 0.000800
Training Epoch: 19 [29952/46250]	Loss: 0.2591	LR: 0.000800
Training Epoch: 19 [30208/46250]	Loss: 0.3245	LR: 0.000800
Training Epoch: 19 [30464/46250]	Loss: 0.3062	LR: 0.000800
Training Epoch: 19 [30720/46250]	Loss: 0.3537	LR: 0.000800
Training Epoch: 19 [30976/46250]	Loss: 0.3134	LR: 0.000800
Training Epoch: 19 [31232/46250]	Loss: 0.3224	LR: 0.000800
Training Epoch: 19 [31488/46250]	Loss: 0.3165	LR: 0.000800
Training Epoch: 19 [31744/46250]	Loss: 0.2938	LR: 0.000800
Training Epoch: 19 [32000/46250]	Loss: 0.2188	LR: 0.000800
Training Epoch: 19 [32256/46250]	Loss: 0.3589	LR: 0.000800
Training Epoch: 19 [32512/46250]	Loss: 0.2969	LR: 0.000800
Training Epoch: 19 [32768/46250]	Loss: 0.3560	LR: 0.000800
Training Epoch: 19 [33024/46250]	Loss: 0.3078	LR: 0.000800
Training Epoch: 19 [33280/46250]	Loss: 0.3550	LR: 0.000800
Training Epoch: 19 [33536/46250]	Loss: 0.3323	LR: 0.000800
Training Epoch: 19 [33792/46250]	Loss: 0.3067	LR: 0.000800
Training Epoch: 19 [34048/46250]	Loss: 0.1980	LR: 0.000800
Training Epoch: 19 [34304/46250]	Loss: 0.4805	LR: 0.000800
Training Epoch: 19 [34560/46250]	Loss: 0.3223	LR: 0.000800
Training Epoch: 19 [34816/46250]	Loss: 0.3318	LR: 0.000800
Training Epoch: 19 [35072/46250]	Loss: 0.2745	LR: 0.000800
Training Epoch: 19 [35328/46250]	Loss: 0.2844	LR: 0.000800
Training Epoch: 19 [35584/46250]	Loss: 0.2593	LR: 0.000800
Training Epoch: 19 [35840/46250]	Loss: 0.3184	LR: 0.000800
Training Epoch: 19 [36096/46250]	Loss: 0.3114	LR: 0.000800
Training Epoch: 19 [36352/46250]	Loss: 0.2901	LR: 0.000800
Training Epoch: 19 [36608/46250]	Loss: 0.2710	LR: 0.000800
Training Epoch: 19 [36864/46250]	Loss: 0.2916	LR: 0.000800
Training Epoch: 19 [37120/46250]	Loss: 0.3743	LR: 0.000800
Training Epoch: 19 [37376/46250]	Loss: 0.3420	LR: 0.000800
Training Epoch: 19 [37632/46250]	Loss: 0.3033	LR: 0.000800
Training Epoch: 19 [37888/46250]	Loss: 0.3164	LR: 0.000800
Training Epoch: 19 [38144/46250]	Loss: 0.3048	LR: 0.000800
Training Epoch: 19 [38400/46250]	Loss: 0.2622	LR: 0.000800
Training Epoch: 19 [38656/46250]	Loss: 0.2661	LR: 0.000800
Training Epoch: 19 [38912/46250]	Loss: 0.3900	LR: 0.000800
Training Epoch: 19 [39168/46250]	Loss: 0.3347	LR: 0.000800
Training Epoch: 19 [39424/46250]	Loss: 0.2835	LR: 0.000800
Training Epoch: 19 [39680/46250]	Loss: 0.3643	LR: 0.000800
Training Epoch: 19 [39936/46250]	Loss: 0.2725	LR: 0.000800
Training Epoch: 19 [40192/46250]	Loss: 0.2424	LR: 0.000800
Training Epoch: 19 [40448/46250]	Loss: 0.2737	LR: 0.000800
Training Epoch: 19 [40704/46250]	Loss: 0.2052	LR: 0.000800
Training Epoch: 19 [40960/46250]	Loss: 0.2670	LR: 0.000800
Training Epoch: 19 [41216/46250]	Loss: 0.2611	LR: 0.000800
Training Epoch: 19 [41472/46250]	Loss: 0.2995	LR: 0.000800
Training Epoch: 19 [41728/46250]	Loss: 0.2385	LR: 0.000800
Training Epoch: 19 [41984/46250]	Loss: 0.3395	LR: 0.000800
Training Epoch: 19 [42240/46250]	Loss: 0.2929	LR: 0.000800
Training Epoch: 19 [42496/46250]	Loss: 0.3205	LR: 0.000800
Training Epoch: 19 [42752/46250]	Loss: 0.3235	LR: 0.000800
Training Epoch: 19 [43008/46250]	Loss: 0.3294	LR: 0.000800
Training Epoch: 19 [43264/46250]	Loss: 0.2446	LR: 0.000800
Training Epoch: 19 [43520/46250]	Loss: 0.3485	LR: 0.000800
Training Epoch: 19 [43776/46250]	Loss: 0.3254	LR: 0.000800
Training Epoch: 19 [44032/46250]	Loss: 0.3595	LR: 0.000800
Training Epoch: 19 [44288/46250]	Loss: 0.2918	LR: 0.000800
Training Epoch: 19 [44544/46250]	Loss: 0.2728	LR: 0.000800
Training Epoch: 19 [44800/46250]	Loss: 0.3775	LR: 0.000800
Training Epoch: 19 [45056/46250]	Loss: 0.3219	LR: 0.000800
Training Epoch: 19 [45312/46250]	Loss: 0.2992	LR: 0.000800
Training Epoch: 19 [45568/46250]	Loss: 0.3499	LR: 0.000800
Training Epoch: 19 [45824/46250]	Loss: 0.2689	LR: 0.000800
Training Epoch: 19 [46080/46250]	Loss: 0.2929	LR: 0.000800
Training Epoch: 19 [46250/46250]	Loss: 0.3530	LR: 0.000800
Epoch 19 - Average Train Loss: 0.3117, Train Accuracy: 0.8927
Epoch 19 training time consumed: 25.74s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0015, Accuracy: 0.8745, Time consumed:0.95s
Training Epoch: 20 [256/46250]	Loss: 0.3255	LR: 0.000800
Training Epoch: 20 [512/46250]	Loss: 0.3628	LR: 0.000800
Training Epoch: 20 [768/46250]	Loss: 0.2912	LR: 0.000800
Training Epoch: 20 [1024/46250]	Loss: 0.2433	LR: 0.000800
Training Epoch: 20 [1280/46250]	Loss: 0.2832	LR: 0.000800
Training Epoch: 20 [1536/46250]	Loss: 0.3855	LR: 0.000800
Training Epoch: 20 [1792/46250]	Loss: 0.3227	LR: 0.000800
Training Epoch: 20 [2048/46250]	Loss: 0.2705	LR: 0.000800
Training Epoch: 20 [2304/46250]	Loss: 0.3322	LR: 0.000800
Training Epoch: 20 [2560/46250]	Loss: 0.3809	LR: 0.000800
Training Epoch: 20 [2816/46250]	Loss: 0.3339	LR: 0.000800
Training Epoch: 20 [3072/46250]	Loss: 0.2814	LR: 0.000800
Training Epoch: 20 [3328/46250]	Loss: 0.3294	LR: 0.000800
Training Epoch: 20 [3584/46250]	Loss: 0.2319	LR: 0.000800
Training Epoch: 20 [3840/46250]	Loss: 0.3201	LR: 0.000800
Training Epoch: 20 [4096/46250]	Loss: 0.3077	LR: 0.000800
Training Epoch: 20 [4352/46250]	Loss: 0.2787	LR: 0.000800
Training Epoch: 20 [4608/46250]	Loss: 0.3087	LR: 0.000800
Training Epoch: 20 [4864/46250]	Loss: 0.3411	LR: 0.000800
Training Epoch: 20 [5120/46250]	Loss: 0.2924	LR: 0.000800
Training Epoch: 20 [5376/46250]	Loss: 0.3133	LR: 0.000800
Training Epoch: 20 [5632/46250]	Loss: 0.2693	LR: 0.000800
Training Epoch: 20 [5888/46250]	Loss: 0.3142	LR: 0.000800
Training Epoch: 20 [6144/46250]	Loss: 0.2931	LR: 0.000800
Training Epoch: 20 [6400/46250]	Loss: 0.2871	LR: 0.000800
Training Epoch: 20 [6656/46250]	Loss: 0.3409	LR: 0.000800
Training Epoch: 20 [6912/46250]	Loss: 0.2622	LR: 0.000800
Training Epoch: 20 [7168/46250]	Loss: 0.2260	LR: 0.000800
Training Epoch: 20 [7424/46250]	Loss: 0.2823	LR: 0.000800
Training Epoch: 20 [7680/46250]	Loss: 0.3515	LR: 0.000800
Training Epoch: 20 [7936/46250]	Loss: 0.2796	LR: 0.000800
Training Epoch: 20 [8192/46250]	Loss: 0.3700	LR: 0.000800
Training Epoch: 20 [8448/46250]	Loss: 0.2748	LR: 0.000800
Training Epoch: 20 [8704/46250]	Loss: 0.2485	LR: 0.000800
Training Epoch: 20 [8960/46250]	Loss: 0.2633	LR: 0.000800
Training Epoch: 20 [9216/46250]	Loss: 0.2916	LR: 0.000800
Training Epoch: 20 [9472/46250]	Loss: 0.2715	LR: 0.000800
Training Epoch: 20 [9728/46250]	Loss: 0.3608	LR: 0.000800
Training Epoch: 20 [9984/46250]	Loss: 0.2628	LR: 0.000800
Training Epoch: 20 [10240/46250]	Loss: 0.2516	LR: 0.000800
Training Epoch: 20 [10496/46250]	Loss: 0.4080	LR: 0.000800
Training Epoch: 20 [10752/46250]	Loss: 0.2883	LR: 0.000800
Training Epoch: 20 [11008/46250]	Loss: 0.2599	LR: 0.000800
Training Epoch: 20 [11264/46250]	Loss: 0.3384	LR: 0.000800
Training Epoch: 20 [11520/46250]	Loss: 0.3334	LR: 0.000800
Training Epoch: 20 [11776/46250]	Loss: 0.3187	LR: 0.000800
Training Epoch: 20 [12032/46250]	Loss: 0.3850	LR: 0.000800
Training Epoch: 20 [12288/46250]	Loss: 0.3374	LR: 0.000800
Training Epoch: 20 [12544/46250]	Loss: 0.2993	LR: 0.000800
Training Epoch: 20 [12800/46250]	Loss: 0.3567	LR: 0.000800
Training Epoch: 20 [13056/46250]	Loss: 0.2967	LR: 0.000800
Training Epoch: 20 [13312/46250]	Loss: 0.2452	LR: 0.000800
Training Epoch: 20 [13568/46250]	Loss: 0.3662	LR: 0.000800
Training Epoch: 20 [13824/46250]	Loss: 0.2707	LR: 0.000800
Training Epoch: 20 [14080/46250]	Loss: 0.2831	LR: 0.000800
Training Epoch: 20 [14336/46250]	Loss: 0.2752	LR: 0.000800
Training Epoch: 20 [14592/46250]	Loss: 0.3090	LR: 0.000800
Training Epoch: 20 [14848/46250]	Loss: 0.2794	LR: 0.000800
Training Epoch: 20 [15104/46250]	Loss: 0.3155	LR: 0.000800
Training Epoch: 20 [15360/46250]	Loss: 0.2696	LR: 0.000800
Training Epoch: 20 [15616/46250]	Loss: 0.3068	LR: 0.000800
Training Epoch: 20 [15872/46250]	Loss: 0.2969	LR: 0.000800
Training Epoch: 20 [16128/46250]	Loss: 0.3371	LR: 0.000800
Training Epoch: 20 [16384/46250]	Loss: 0.3056	LR: 0.000800
Training Epoch: 20 [16640/46250]	Loss: 0.3501	LR: 0.000800
Training Epoch: 20 [16896/46250]	Loss: 0.2315	LR: 0.000800
Training Epoch: 20 [17152/46250]	Loss: 0.3516	LR: 0.000800
Training Epoch: 20 [17408/46250]	Loss: 0.3089	LR: 0.000800
Training Epoch: 20 [17664/46250]	Loss: 0.3179	LR: 0.000800
Training Epoch: 20 [17920/46250]	Loss: 0.2706	LR: 0.000800
Training Epoch: 20 [18176/46250]	Loss: 0.2361	LR: 0.000800
Training Epoch: 20 [18432/46250]	Loss: 0.3195	LR: 0.000800
Training Epoch: 20 [18688/46250]	Loss: 0.2651	LR: 0.000800
Training Epoch: 20 [18944/46250]	Loss: 0.2767	LR: 0.000800
Training Epoch: 20 [19200/46250]	Loss: 0.3482	LR: 0.000800
Training Epoch: 20 [19456/46250]	Loss: 0.3764	LR: 0.000800
Training Epoch: 20 [19712/46250]	Loss: 0.2500	LR: 0.000800
Training Epoch: 20 [19968/46250]	Loss: 0.2689	LR: 0.000800
Training Epoch: 20 [20224/46250]	Loss: 0.2700	LR: 0.000800
Training Epoch: 20 [20480/46250]	Loss: 0.3463	LR: 0.000800
Training Epoch: 20 [20736/46250]	Loss: 0.2668	LR: 0.000800
Training Epoch: 20 [20992/46250]	Loss: 0.3559	LR: 0.000800
Training Epoch: 20 [21248/46250]	Loss: 0.3669	LR: 0.000800
Training Epoch: 20 [21504/46250]	Loss: 0.2923	LR: 0.000800
Training Epoch: 20 [21760/46250]	Loss: 0.2877	LR: 0.000800
Training Epoch: 20 [22016/46250]	Loss: 0.3920	LR: 0.000800
Training Epoch: 20 [22272/46250]	Loss: 0.2821	LR: 0.000800
Training Epoch: 20 [22528/46250]	Loss: 0.3015	LR: 0.000800
Training Epoch: 20 [22784/46250]	Loss: 0.3529	LR: 0.000800
Training Epoch: 20 [23040/46250]	Loss: 0.3191	LR: 0.000800
Training Epoch: 20 [23296/46250]	Loss: 0.2855	LR: 0.000800
Training Epoch: 20 [23552/46250]	Loss: 0.3106	LR: 0.000800
Training Epoch: 20 [23808/46250]	Loss: 0.2808	LR: 0.000800
Training Epoch: 20 [24064/46250]	Loss: 0.2335	LR: 0.000800
Training Epoch: 20 [24320/46250]	Loss: 0.3954	LR: 0.000800
Training Epoch: 20 [24576/46250]	Loss: 0.2810	LR: 0.000800
Training Epoch: 20 [24832/46250]	Loss: 0.3055	LR: 0.000800
Training Epoch: 20 [25088/46250]	Loss: 0.2939	LR: 0.000800
Training Epoch: 20 [25344/46250]	Loss: 0.2783	LR: 0.000800
Training Epoch: 20 [25600/46250]	Loss: 0.3181	LR: 0.000800
Training Epoch: 20 [25856/46250]	Loss: 0.2698	LR: 0.000800
Training Epoch: 20 [26112/46250]	Loss: 0.3726	LR: 0.000800
Training Epoch: 20 [26368/46250]	Loss: 0.3369	LR: 0.000800
Training Epoch: 20 [26624/46250]	Loss: 0.4149	LR: 0.000800
Training Epoch: 20 [26880/46250]	Loss: 0.2604	LR: 0.000800
Training Epoch: 20 [27136/46250]	Loss: 0.2828	LR: 0.000800
Training Epoch: 20 [27392/46250]	Loss: 0.3485	LR: 0.000800
Training Epoch: 20 [27648/46250]	Loss: 0.2843	LR: 0.000800
Training Epoch: 20 [27904/46250]	Loss: 0.3595	LR: 0.000800
Training Epoch: 20 [28160/46250]	Loss: 0.3297	LR: 0.000800
Training Epoch: 20 [28416/46250]	Loss: 0.3298	LR: 0.000800
Training Epoch: 20 [28672/46250]	Loss: 0.3554	LR: 0.000800
Training Epoch: 20 [28928/46250]	Loss: 0.2952	LR: 0.000800
Training Epoch: 20 [29184/46250]	Loss: 0.3486	LR: 0.000800
Training Epoch: 20 [29440/46250]	Loss: 0.2491	LR: 0.000800
Training Epoch: 20 [29696/46250]	Loss: 0.2974	LR: 0.000800
Training Epoch: 20 [29952/46250]	Loss: 0.3010	LR: 0.000800
Training Epoch: 20 [30208/46250]	Loss: 0.2976	LR: 0.000800
Training Epoch: 20 [30464/46250]	Loss: 0.2978	LR: 0.000800
Training Epoch: 20 [30720/46250]	Loss: 0.2924	LR: 0.000800
Training Epoch: 20 [30976/46250]	Loss: 0.3400	LR: 0.000800
Training Epoch: 20 [31232/46250]	Loss: 0.3498	LR: 0.000800
Training Epoch: 20 [31488/46250]	Loss: 0.3341	LR: 0.000800
Training Epoch: 20 [31744/46250]	Loss: 0.2103	LR: 0.000800
Training Epoch: 20 [32000/46250]	Loss: 0.3609	LR: 0.000800
Training Epoch: 20 [32256/46250]	Loss: 0.2440	LR: 0.000800
Training Epoch: 20 [32512/46250]	Loss: 0.2974	LR: 0.000800
Training Epoch: 20 [32768/46250]	Loss: 0.2831	LR: 0.000800
Training Epoch: 20 [33024/46250]	Loss: 0.3197	LR: 0.000800
Training Epoch: 20 [33280/46250]	Loss: 0.3416	LR: 0.000800
Training Epoch: 20 [33536/46250]	Loss: 0.3976	LR: 0.000800
Training Epoch: 20 [33792/46250]	Loss: 0.2997	LR: 0.000800
Training Epoch: 20 [34048/46250]	Loss: 0.4155	LR: 0.000800
Training Epoch: 20 [34304/46250]	Loss: 0.3511	LR: 0.000800
Training Epoch: 20 [34560/46250]	Loss: 0.2734	LR: 0.000800
Training Epoch: 20 [34816/46250]	Loss: 0.2168	LR: 0.000800
Training Epoch: 20 [35072/46250]	Loss: 0.4051	LR: 0.000800
Training Epoch: 20 [35328/46250]	Loss: 0.2256	LR: 0.000800
Training Epoch: 20 [35584/46250]	Loss: 0.3341	LR: 0.000800
Training Epoch: 20 [35840/46250]	Loss: 0.2895	LR: 0.000800
Training Epoch: 20 [36096/46250]	Loss: 0.3663	LR: 0.000800
Training Epoch: 20 [36352/46250]	Loss: 0.3188	LR: 0.000800
Training Epoch: 20 [36608/46250]	Loss: 0.2192	LR: 0.000800
Training Epoch: 20 [36864/46250]	Loss: 0.3216	LR: 0.000800
Training Epoch: 20 [37120/46250]	Loss: 0.3262	LR: 0.000800
Training Epoch: 20 [37376/46250]	Loss: 0.2942	LR: 0.000800
Training Epoch: 20 [37632/46250]	Loss: 0.2799	LR: 0.000800
Training Epoch: 20 [37888/46250]	Loss: 0.2981	LR: 0.000800
Training Epoch: 20 [38144/46250]	Loss: 0.2784	LR: 0.000800
Training Epoch: 20 [38400/46250]	Loss: 0.3774	LR: 0.000800
Training Epoch: 20 [38656/46250]	Loss: 0.3556	LR: 0.000800
Training Epoch: 20 [38912/46250]	Loss: 0.2518	LR: 0.000800
Training Epoch: 20 [39168/46250]	Loss: 0.2971	LR: 0.000800
Training Epoch: 20 [39424/46250]	Loss: 0.2666	LR: 0.000800
Training Epoch: 20 [39680/46250]	Loss: 0.2899	LR: 0.000800
Training Epoch: 20 [39936/46250]	Loss: 0.2261	LR: 0.000800
Training Epoch: 20 [40192/46250]	Loss: 0.3323	LR: 0.000800
Training Epoch: 20 [40448/46250]	Loss: 0.2422	LR: 0.000800
Training Epoch: 20 [40704/46250]	Loss: 0.3246	LR: 0.000800
Training Epoch: 20 [40960/46250]	Loss: 0.3052	LR: 0.000800
Training Epoch: 20 [41216/46250]	Loss: 0.2179	LR: 0.000800
Training Epoch: 20 [41472/46250]	Loss: 0.3419	LR: 0.000800
Training Epoch: 20 [41728/46250]	Loss: 0.3335	LR: 0.000800
Training Epoch: 20 [41984/46250]	Loss: 0.3275	LR: 0.000800
Training Epoch: 20 [42240/46250]	Loss: 0.2686	LR: 0.000800
Training Epoch: 20 [42496/46250]	Loss: 0.3475	LR: 0.000800
Training Epoch: 20 [42752/46250]	Loss: 0.3253	LR: 0.000800
Training Epoch: 20 [43008/46250]	Loss: 0.2737	LR: 0.000800
Training Epoch: 20 [43264/46250]	Loss: 0.2934	LR: 0.000800
Training Epoch: 20 [43520/46250]	Loss: 0.3462	LR: 0.000800
Training Epoch: 20 [43776/46250]	Loss: 0.4350	LR: 0.000800
Training Epoch: 20 [44032/46250]	Loss: 0.4115	LR: 0.000800
Training Epoch: 20 [44288/46250]	Loss: 0.3588	LR: 0.000800
Training Epoch: 20 [44544/46250]	Loss: 0.2757	LR: 0.000800
Training Epoch: 20 [44800/46250]	Loss: 0.3348	LR: 0.000800
Training Epoch: 20 [45056/46250]	Loss: 0.2971	LR: 0.000800
Training Epoch: 20 [45312/46250]	Loss: 0.3201	LR: 0.000800
Training Epoch: 20 [45568/46250]	Loss: 0.2924	LR: 0.000800
Training Epoch: 20 [45824/46250]	Loss: 0.3165	LR: 0.000800
Training Epoch: 20 [46080/46250]	Loss: 0.3630	LR: 0.000800
Training Epoch: 20 [46250/46250]	Loss: 0.3303	LR: 0.000800
Epoch 20 - Average Train Loss: 0.3088, Train Accuracy: 0.8952
Epoch 20 training time consumed: 25.46s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0014, Accuracy: 0.8760, Time consumed:0.90s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_21h_58m_05s/AllCNN-Cifar10-seed10-ret25-20-best.pth
Valid (Test) Dl:  10000
Train Dl:  50000
Retain Train Dl:  46250
Forget Train Dl:  3750
Retain Valid Dl:  46250
Forget Valid Dl:  3750
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 3750 samples
Set1 Distribution: 3750 samples
Set2 Distribution: 3750 samples
Set1 Distribution: 3750 samples
Set2 Distribution: 3750 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Test Accuracy: 87.59765625
Retain Accuracy: 89.78627014160156
Zero-Retain Forget (ZRF): 0.8563123941421509
Membership Inference Attack (MIA): 0.43333333333333335
Forget vs Retain Membership Inference Attack (MIA): 0.4746666666666667
Forget vs Test Membership Inference Attack (MIA): 0.5706666666666667
Test vs Retain Membership Inference Attack (MIA): 0.5065
Train vs Test Membership Inference Attack (MIA): 0.50975
Forget Set Accuracy (Df): 86.23462677001953
Method Execution Time: 1025.24 seconds
