hello
hello

📌 Retain class distribution for seed 9:
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 9:
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: 4750
  Class 1: 4750
  Class 2: 4750
  Class 3: 4750
  Class 4: 4750
  Class 5: 4750
  Class 6: 4750
  Class 7: 4750
  Class 8: 4750
  Class 9: 4750
Forget set:
  Class 0: 250
  Class 1: 250
  Class 2: 250
  Class 3: 250
  Class 4: 250
  Class 5: 250
  Class 6: 250
  Class 7: 250
  Class 8: 250
  Class 9: 250
hello
hello
⚠️ Warning: Retain train loader may not be shuffled.
Training Epoch: 1 [256/47500]	Loss: 2.3040	LR: 0.000000
Training Epoch: 1 [512/47500]	Loss: 2.3202	LR: 0.000538
Training Epoch: 1 [768/47500]	Loss: 2.3060	LR: 0.001075
Training Epoch: 1 [1024/47500]	Loss: 2.3161	LR: 0.001613
Training Epoch: 1 [1280/47500]	Loss: 2.2948	LR: 0.002151
Training Epoch: 1 [1536/47500]	Loss: 2.3011	LR: 0.002688
Training Epoch: 1 [1792/47500]	Loss: 2.2984	LR: 0.003226
Training Epoch: 1 [2048/47500]	Loss: 2.2785	LR: 0.003763
Training Epoch: 1 [2304/47500]	Loss: 2.2807	LR: 0.004301
Training Epoch: 1 [2560/47500]	Loss: 2.2649	LR: 0.004839
Training Epoch: 1 [2816/47500]	Loss: 2.2400	LR: 0.005376
Training Epoch: 1 [3072/47500]	Loss: 2.2265	LR: 0.005914
Training Epoch: 1 [3328/47500]	Loss: 2.1964	LR: 0.006452
Training Epoch: 1 [3584/47500]	Loss: 2.2071	LR: 0.006989
Training Epoch: 1 [3840/47500]	Loss: 2.1828	LR: 0.007527
Training Epoch: 1 [4096/47500]	Loss: 2.1389	LR: 0.008065
Training Epoch: 1 [4352/47500]	Loss: 2.1468	LR: 0.008602
Training Epoch: 1 [4608/47500]	Loss: 2.1208	LR: 0.009140
Training Epoch: 1 [4864/47500]	Loss: 2.0855	LR: 0.009677
Training Epoch: 1 [5120/47500]	Loss: 2.1136	LR: 0.010215
Training Epoch: 1 [5376/47500]	Loss: 2.0694	LR: 0.010753
Training Epoch: 1 [5632/47500]	Loss: 2.0820	LR: 0.011290
Training Epoch: 1 [5888/47500]	Loss: 1.9877	LR: 0.011828
Training Epoch: 1 [6144/47500]	Loss: 1.9666	LR: 0.012366
Training Epoch: 1 [6400/47500]	Loss: 2.0332	LR: 0.012903
Training Epoch: 1 [6656/47500]	Loss: 1.9605	LR: 0.013441
Training Epoch: 1 [6912/47500]	Loss: 1.9114	LR: 0.013978
Training Epoch: 1 [7168/47500]	Loss: 1.9286	LR: 0.014516
Training Epoch: 1 [7424/47500]	Loss: 1.9340	LR: 0.015054
Training Epoch: 1 [7680/47500]	Loss: 1.8849	LR: 0.015591
Training Epoch: 1 [7936/47500]	Loss: 1.9676	LR: 0.016129
Training Epoch: 1 [8192/47500]	Loss: 1.8400	LR: 0.016667
Training Epoch: 1 [8448/47500]	Loss: 1.9610	LR: 0.017204
Training Epoch: 1 [8704/47500]	Loss: 1.8221	LR: 0.017742
Training Epoch: 1 [8960/47500]	Loss: 1.8301	LR: 0.018280
Training Epoch: 1 [9216/47500]	Loss: 1.9055	LR: 0.018817
Training Epoch: 1 [9472/47500]	Loss: 1.9253	LR: 0.019355
Training Epoch: 1 [9728/47500]	Loss: 1.8294	LR: 0.019892
Training Epoch: 1 [9984/47500]	Loss: 1.8430	LR: 0.020430
Training Epoch: 1 [10240/47500]	Loss: 1.8003	LR: 0.020968
Training Epoch: 1 [10496/47500]	Loss: 1.8416	LR: 0.021505
Training Epoch: 1 [10752/47500]	Loss: 1.8120	LR: 0.022043
Training Epoch: 1 [11008/47500]	Loss: 1.8036	LR: 0.022581
Training Epoch: 1 [11264/47500]	Loss: 1.7406	LR: 0.023118
Training Epoch: 1 [11520/47500]	Loss: 1.8329	LR: 0.023656
Training Epoch: 1 [11776/47500]	Loss: 1.8653	LR: 0.024194
Training Epoch: 1 [12032/47500]	Loss: 1.6979	LR: 0.024731
Training Epoch: 1 [12288/47500]	Loss: 1.8103	LR: 0.025269
Training Epoch: 1 [12544/47500]	Loss: 1.7941	LR: 0.025806
Training Epoch: 1 [12800/47500]	Loss: 1.6788	LR: 0.026344
Training Epoch: 1 [13056/47500]	Loss: 1.7483	LR: 0.026882
Training Epoch: 1 [13312/47500]	Loss: 1.8400	LR: 0.027419
Training Epoch: 1 [13568/47500]	Loss: 1.6627	LR: 0.027957
Training Epoch: 1 [13824/47500]	Loss: 1.7707	LR: 0.028495
Training Epoch: 1 [14080/47500]	Loss: 1.6639	LR: 0.029032
Training Epoch: 1 [14336/47500]	Loss: 1.8147	LR: 0.029570
Training Epoch: 1 [14592/47500]	Loss: 1.6700	LR: 0.030108
Training Epoch: 1 [14848/47500]	Loss: 1.6848	LR: 0.030645
Training Epoch: 1 [15104/47500]	Loss: 1.6724	LR: 0.031183
Training Epoch: 1 [15360/47500]	Loss: 1.7309	LR: 0.031720
Training Epoch: 1 [15616/47500]	Loss: 1.6690	LR: 0.032258
Training Epoch: 1 [15872/47500]	Loss: 1.6387	LR: 0.032796
Training Epoch: 1 [16128/47500]	Loss: 1.7209	LR: 0.033333
Training Epoch: 1 [16384/47500]	Loss: 1.7617	LR: 0.033871
Training Epoch: 1 [16640/47500]	Loss: 1.6495	LR: 0.034409
Training Epoch: 1 [16896/47500]	Loss: 1.5983	LR: 0.034946
Training Epoch: 1 [17152/47500]	Loss: 1.6766	LR: 0.035484
Training Epoch: 1 [17408/47500]	Loss: 1.5900	LR: 0.036022
Training Epoch: 1 [17664/47500]	Loss: 1.6764	LR: 0.036559
Training Epoch: 1 [17920/47500]	Loss: 1.6227	LR: 0.037097
Training Epoch: 1 [18176/47500]	Loss: 1.7291	LR: 0.037634
Training Epoch: 1 [18432/47500]	Loss: 1.5954	LR: 0.038172
Training Epoch: 1 [18688/47500]	Loss: 1.6401	LR: 0.038710
Training Epoch: 1 [18944/47500]	Loss: 1.6689	LR: 0.039247
Training Epoch: 1 [19200/47500]	Loss: 1.6370	LR: 0.039785
Training Epoch: 1 [19456/47500]	Loss: 1.5912	LR: 0.040323
Training Epoch: 1 [19712/47500]	Loss: 1.5350	LR: 0.040860
Training Epoch: 1 [19968/47500]	Loss: 1.5362	LR: 0.041398
Training Epoch: 1 [20224/47500]	Loss: 1.6901	LR: 0.041935
Training Epoch: 1 [20480/47500]	Loss: 1.5819	LR: 0.042473
Training Epoch: 1 [20736/47500]	Loss: 1.6400	LR: 0.043011
Training Epoch: 1 [20992/47500]	Loss: 1.5926	LR: 0.043548
Training Epoch: 1 [21248/47500]	Loss: 1.6287	LR: 0.044086
Training Epoch: 1 [21504/47500]	Loss: 1.5925	LR: 0.044624
Training Epoch: 1 [21760/47500]	Loss: 1.5880	LR: 0.045161
Training Epoch: 1 [22016/47500]	Loss: 1.6257	LR: 0.045699
Training Epoch: 1 [22272/47500]	Loss: 1.6425	LR: 0.046237
Training Epoch: 1 [22528/47500]	Loss: 1.5514	LR: 0.046774
Training Epoch: 1 [22784/47500]	Loss: 1.5585	LR: 0.047312
Training Epoch: 1 [23040/47500]	Loss: 1.6447	LR: 0.047849
Training Epoch: 1 [23296/47500]	Loss: 1.5447	LR: 0.048387
Training Epoch: 1 [23552/47500]	Loss: 1.5510	LR: 0.048925
Training Epoch: 1 [23808/47500]	Loss: 1.4954	LR: 0.049462
Training Epoch: 1 [24064/47500]	Loss: 1.5050	LR: 0.050000
Training Epoch: 1 [24320/47500]	Loss: 1.5293	LR: 0.050538
Training Epoch: 1 [24576/47500]	Loss: 1.5771	LR: 0.051075
Training Epoch: 1 [24832/47500]	Loss: 1.4590	LR: 0.051613
Training Epoch: 1 [25088/47500]	Loss: 1.5508	LR: 0.052151
Training Epoch: 1 [25344/47500]	Loss: 1.5306	LR: 0.052688
Training Epoch: 1 [25600/47500]	Loss: 1.5055	LR: 0.053226
Training Epoch: 1 [25856/47500]	Loss: 1.5167	LR: 0.053763
Training Epoch: 1 [26112/47500]	Loss: 1.3604	LR: 0.054301
Training Epoch: 1 [26368/47500]	Loss: 1.5132	LR: 0.054839
Training Epoch: 1 [26624/47500]	Loss: 1.5346	LR: 0.055376
Training Epoch: 1 [26880/47500]	Loss: 1.5788	LR: 0.055914
Training Epoch: 1 [27136/47500]	Loss: 1.4804	LR: 0.056452
Training Epoch: 1 [27392/47500]	Loss: 1.4689	LR: 0.056989
Training Epoch: 1 [27648/47500]	Loss: 1.6187	LR: 0.057527
Training Epoch: 1 [27904/47500]	Loss: 1.5730	LR: 0.058065
Training Epoch: 1 [28160/47500]	Loss: 1.4385	LR: 0.058602
Training Epoch: 1 [28416/47500]	Loss: 1.6085	LR: 0.059140
Training Epoch: 1 [28672/47500]	Loss: 1.4868	LR: 0.059677
Training Epoch: 1 [28928/47500]	Loss: 1.4879	LR: 0.060215
Training Epoch: 1 [29184/47500]	Loss: 1.5361	LR: 0.060753
Training Epoch: 1 [29440/47500]	Loss: 1.4424	LR: 0.061290
Training Epoch: 1 [29696/47500]	Loss: 1.5524	LR: 0.061828
Training Epoch: 1 [29952/47500]	Loss: 1.5152	LR: 0.062366
Training Epoch: 1 [30208/47500]	Loss: 1.5309	LR: 0.062903
Training Epoch: 1 [30464/47500]	Loss: 1.4008	LR: 0.063441
Training Epoch: 1 [30720/47500]	Loss: 1.4563	LR: 0.063978
Training Epoch: 1 [30976/47500]	Loss: 1.5214	LR: 0.064516
Training Epoch: 1 [31232/47500]	Loss: 1.5593	LR: 0.065054
Training Epoch: 1 [31488/47500]	Loss: 1.4561	LR: 0.065591
Training Epoch: 1 [31744/47500]	Loss: 1.5576	LR: 0.066129
Training Epoch: 1 [32000/47500]	Loss: 1.4463	LR: 0.066667
Training Epoch: 1 [32256/47500]	Loss: 1.4838	LR: 0.067204
Training Epoch: 1 [32512/47500]	Loss: 1.5753	LR: 0.067742
Training Epoch: 1 [32768/47500]	Loss: 1.5204	LR: 0.068280
Training Epoch: 1 [33024/47500]	Loss: 1.5294	LR: 0.068817
Training Epoch: 1 [33280/47500]	Loss: 1.4671	LR: 0.069355
Training Epoch: 1 [33536/47500]	Loss: 1.5399	LR: 0.069892
Training Epoch: 1 [33792/47500]	Loss: 1.4758	LR: 0.070430
Training Epoch: 1 [34048/47500]	Loss: 1.5046	LR: 0.070968
Training Epoch: 1 [34304/47500]	Loss: 1.3962	LR: 0.071505
Training Epoch: 1 [34560/47500]	Loss: 1.4101	LR: 0.072043
Training Epoch: 1 [34816/47500]	Loss: 1.5265	LR: 0.072581
Training Epoch: 1 [35072/47500]	Loss: 1.5823	LR: 0.073118
Training Epoch: 1 [35328/47500]	Loss: 1.3922	LR: 0.073656
Training Epoch: 1 [35584/47500]	Loss: 1.4675	LR: 0.074194
Training Epoch: 1 [35840/47500]	Loss: 1.3788	LR: 0.074731
Training Epoch: 1 [36096/47500]	Loss: 1.5773	LR: 0.075269
Training Epoch: 1 [36352/47500]	Loss: 1.4980	LR: 0.075806
Training Epoch: 1 [36608/47500]	Loss: 1.4906	LR: 0.076344
Training Epoch: 1 [36864/47500]	Loss: 1.4841	LR: 0.076882
Training Epoch: 1 [37120/47500]	Loss: 1.4842	LR: 0.077419
Training Epoch: 1 [37376/47500]	Loss: 1.4228	LR: 0.077957
Training Epoch: 1 [37632/47500]	Loss: 1.4907	LR: 0.078495
Training Epoch: 1 [37888/47500]	Loss: 1.3537	LR: 0.079032
Training Epoch: 1 [38144/47500]	Loss: 1.4306	LR: 0.079570
Training Epoch: 1 [38400/47500]	Loss: 1.3974	LR: 0.080108
Training Epoch: 1 [38656/47500]	Loss: 1.4220	LR: 0.080645
Training Epoch: 1 [38912/47500]	Loss: 1.3686	LR: 0.081183
Training Epoch: 1 [39168/47500]	Loss: 1.3578	LR: 0.081720
Training Epoch: 1 [39424/47500]	Loss: 1.4639	LR: 0.082258
Training Epoch: 1 [39680/47500]	Loss: 1.3129	LR: 0.082796
Training Epoch: 1 [39936/47500]	Loss: 1.4227	LR: 0.083333
Training Epoch: 1 [40192/47500]	Loss: 1.3853	LR: 0.083871
Training Epoch: 1 [40448/47500]	Loss: 1.4425	LR: 0.084409
Training Epoch: 1 [40704/47500]	Loss: 1.3968	LR: 0.084946
Training Epoch: 1 [40960/47500]	Loss: 1.5342	LR: 0.085484
Training Epoch: 1 [41216/47500]	Loss: 1.5453	LR: 0.086022
Training Epoch: 1 [41472/47500]	Loss: 1.3865	LR: 0.086559
Training Epoch: 1 [41728/47500]	Loss: 1.3970	LR: 0.087097
Training Epoch: 1 [41984/47500]	Loss: 1.3841	LR: 0.087634
Training Epoch: 1 [42240/47500]	Loss: 1.3192	LR: 0.088172
Training Epoch: 1 [42496/47500]	Loss: 1.5298	LR: 0.088710
Training Epoch: 1 [42752/47500]	Loss: 1.4103	LR: 0.089247
Training Epoch: 1 [43008/47500]	Loss: 1.4389	LR: 0.089785
Training Epoch: 1 [43264/47500]	Loss: 1.5248	LR: 0.090323
Training Epoch: 1 [43520/47500]	Loss: 1.3248	LR: 0.090860
Training Epoch: 1 [43776/47500]	Loss: 1.6299	LR: 0.091398
Training Epoch: 1 [44032/47500]	Loss: 1.3724	LR: 0.091935
Training Epoch: 1 [44288/47500]	Loss: 1.4731	LR: 0.092473
Training Epoch: 1 [44544/47500]	Loss: 1.4709	LR: 0.093011
Training Epoch: 1 [44800/47500]	Loss: 1.4305	LR: 0.093548
Training Epoch: 1 [45056/47500]	Loss: 1.3457	LR: 0.094086
Training Epoch: 1 [45312/47500]	Loss: 1.3467	LR: 0.094624
Training Epoch: 1 [45568/47500]	Loss: 1.3046	LR: 0.095161
Training Epoch: 1 [45824/47500]	Loss: 1.3409	LR: 0.095699
Training Epoch: 1 [46080/47500]	Loss: 1.4744	LR: 0.096237
Training Epoch: 1 [46336/47500]	Loss: 1.5226	LR: 0.096774
Training Epoch: 1 [46592/47500]	Loss: 1.2814	LR: 0.097312
Training Epoch: 1 [46848/47500]	Loss: 1.3785	LR: 0.097849
Training Epoch: 1 [47104/47500]	Loss: 1.4709	LR: 0.098387
Training Epoch: 1 [47360/47500]	Loss: 1.3505	LR: 0.098925
Training Epoch: 1 [47500/47500]	Loss: 1.3954	LR: 0.099462
Epoch 1 - Average Train Loss: 1.6557, Train Accuracy: 0.3881
Epoch 1 training time consumed: 27.53s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0067, Accuracy: 0.3999, Time consumed:1.11s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_02h_13m_37s/AllCNN-Cifar10-seed9-ret50-1-best.pth
Training Epoch: 2 [256/47500]	Loss: 1.3163	LR: 0.100000
Training Epoch: 2 [512/47500]	Loss: 1.2526	LR: 0.100000
Training Epoch: 2 [768/47500]	Loss: 1.4115	LR: 0.100000
Training Epoch: 2 [1024/47500]	Loss: 1.4207	LR: 0.100000
Training Epoch: 2 [1280/47500]	Loss: 1.3916	LR: 0.100000
Training Epoch: 2 [1536/47500]	Loss: 1.3102	LR: 0.100000
Training Epoch: 2 [1792/47500]	Loss: 1.3064	LR: 0.100000
Training Epoch: 2 [2048/47500]	Loss: 1.3373	LR: 0.100000
Training Epoch: 2 [2304/47500]	Loss: 1.3019	LR: 0.100000
Training Epoch: 2 [2560/47500]	Loss: 1.5336	LR: 0.100000
Training Epoch: 2 [2816/47500]	Loss: 1.2694	LR: 0.100000
Training Epoch: 2 [3072/47500]	Loss: 1.3193	LR: 0.100000
Training Epoch: 2 [3328/47500]	Loss: 1.3623	LR: 0.100000
Training Epoch: 2 [3584/47500]	Loss: 1.3719	LR: 0.100000
Training Epoch: 2 [3840/47500]	Loss: 1.4437	LR: 0.100000
Training Epoch: 2 [4096/47500]	Loss: 1.2828	LR: 0.100000
Training Epoch: 2 [4352/47500]	Loss: 1.3686	LR: 0.100000
Training Epoch: 2 [4608/47500]	Loss: 1.3789	LR: 0.100000
Training Epoch: 2 [4864/47500]	Loss: 1.3568	LR: 0.100000
Training Epoch: 2 [5120/47500]	Loss: 1.4497	LR: 0.100000
Training Epoch: 2 [5376/47500]	Loss: 1.2496	LR: 0.100000
Training Epoch: 2 [5632/47500]	Loss: 1.1745	LR: 0.100000
Training Epoch: 2 [5888/47500]	Loss: 1.3236	LR: 0.100000
Training Epoch: 2 [6144/47500]	Loss: 1.2988	LR: 0.100000
Training Epoch: 2 [6400/47500]	Loss: 1.3860	LR: 0.100000
Training Epoch: 2 [6656/47500]	Loss: 1.3253	LR: 0.100000
Training Epoch: 2 [6912/47500]	Loss: 1.4222	LR: 0.100000
Training Epoch: 2 [7168/47500]	Loss: 1.2973	LR: 0.100000
Training Epoch: 2 [7424/47500]	Loss: 1.3468	LR: 0.100000
Training Epoch: 2 [7680/47500]	Loss: 1.1667	LR: 0.100000
Training Epoch: 2 [7936/47500]	Loss: 1.1576	LR: 0.100000
Training Epoch: 2 [8192/47500]	Loss: 1.2534	LR: 0.100000
Training Epoch: 2 [8448/47500]	Loss: 1.2819	LR: 0.100000
Training Epoch: 2 [8704/47500]	Loss: 1.2445	LR: 0.100000
Training Epoch: 2 [8960/47500]	Loss: 1.1938	LR: 0.100000
Training Epoch: 2 [9216/47500]	Loss: 1.2079	LR: 0.100000
Training Epoch: 2 [9472/47500]	Loss: 1.0821	LR: 0.100000
Training Epoch: 2 [9728/47500]	Loss: 1.1450	LR: 0.100000
Training Epoch: 2 [9984/47500]	Loss: 1.2146	LR: 0.100000
Training Epoch: 2 [10240/47500]	Loss: 1.0844	LR: 0.100000
Training Epoch: 2 [10496/47500]	Loss: 1.2338	LR: 0.100000
Training Epoch: 2 [10752/47500]	Loss: 1.2439	LR: 0.100000
Training Epoch: 2 [11008/47500]	Loss: 1.3486	LR: 0.100000
Training Epoch: 2 [11264/47500]	Loss: 1.3651	LR: 0.100000
Training Epoch: 2 [11520/47500]	Loss: 1.2359	LR: 0.100000
Training Epoch: 2 [11776/47500]	Loss: 1.2978	LR: 0.100000
Training Epoch: 2 [12032/47500]	Loss: 1.1591	LR: 0.100000
Training Epoch: 2 [12288/47500]	Loss: 1.3524	LR: 0.100000
Training Epoch: 2 [12544/47500]	Loss: 1.2076	LR: 0.100000
Training Epoch: 2 [12800/47500]	Loss: 1.2074	LR: 0.100000
Training Epoch: 2 [13056/47500]	Loss: 1.1615	LR: 0.100000
Training Epoch: 2 [13312/47500]	Loss: 1.2789	LR: 0.100000
Training Epoch: 2 [13568/47500]	Loss: 1.3112	LR: 0.100000
Training Epoch: 2 [13824/47500]	Loss: 1.1635	LR: 0.100000
Training Epoch: 2 [14080/47500]	Loss: 1.3180	LR: 0.100000
Training Epoch: 2 [14336/47500]	Loss: 1.2553	LR: 0.100000
Training Epoch: 2 [14592/47500]	Loss: 1.3659	LR: 0.100000
Training Epoch: 2 [14848/47500]	Loss: 1.2997	LR: 0.100000
Training Epoch: 2 [15104/47500]	Loss: 1.2703	LR: 0.100000
Training Epoch: 2 [15360/47500]	Loss: 1.2442	LR: 0.100000
Training Epoch: 2 [15616/47500]	Loss: 1.2289	LR: 0.100000
Training Epoch: 2 [15872/47500]	Loss: 1.3887	LR: 0.100000
Training Epoch: 2 [16128/47500]	Loss: 1.2127	LR: 0.100000
Training Epoch: 2 [16384/47500]	Loss: 1.2073	LR: 0.100000
Training Epoch: 2 [16640/47500]	Loss: 1.2444	LR: 0.100000
Training Epoch: 2 [16896/47500]	Loss: 1.2092	LR: 0.100000
Training Epoch: 2 [17152/47500]	Loss: 1.2152	LR: 0.100000
Training Epoch: 2 [17408/47500]	Loss: 1.0975	LR: 0.100000
Training Epoch: 2 [17664/47500]	Loss: 1.2210	LR: 0.100000
Training Epoch: 2 [17920/47500]	Loss: 1.1934	LR: 0.100000
Training Epoch: 2 [18176/47500]	Loss: 1.1227	LR: 0.100000
Training Epoch: 2 [18432/47500]	Loss: 1.1555	LR: 0.100000
Training Epoch: 2 [18688/47500]	Loss: 1.2984	LR: 0.100000
Training Epoch: 2 [18944/47500]	Loss: 1.1223	LR: 0.100000
Training Epoch: 2 [19200/47500]	Loss: 1.2752	LR: 0.100000
Training Epoch: 2 [19456/47500]	Loss: 1.1564	LR: 0.100000
Training Epoch: 2 [19712/47500]	Loss: 1.1186	LR: 0.100000
Training Epoch: 2 [19968/47500]	Loss: 1.0680	LR: 0.100000
Training Epoch: 2 [20224/47500]	Loss: 1.0828	LR: 0.100000
Training Epoch: 2 [20480/47500]	Loss: 1.1717	LR: 0.100000
Training Epoch: 2 [20736/47500]	Loss: 1.2781	LR: 0.100000
Training Epoch: 2 [20992/47500]	Loss: 1.2135	LR: 0.100000
Training Epoch: 2 [21248/47500]	Loss: 1.2824	LR: 0.100000
Training Epoch: 2 [21504/47500]	Loss: 1.1650	LR: 0.100000
Training Epoch: 2 [21760/47500]	Loss: 1.0784	LR: 0.100000
Training Epoch: 2 [22016/47500]	Loss: 1.2698	LR: 0.100000
Training Epoch: 2 [22272/47500]	Loss: 1.2863	LR: 0.100000
Training Epoch: 2 [22528/47500]	Loss: 1.1808	LR: 0.100000
Training Epoch: 2 [22784/47500]	Loss: 1.2646	LR: 0.100000
Training Epoch: 2 [23040/47500]	Loss: 1.1904	LR: 0.100000
Training Epoch: 2 [23296/47500]	Loss: 1.1520	LR: 0.100000
Training Epoch: 2 [23552/47500]	Loss: 1.0477	LR: 0.100000
Training Epoch: 2 [23808/47500]	Loss: 1.1788	LR: 0.100000
Training Epoch: 2 [24064/47500]	Loss: 1.1984	LR: 0.100000
Training Epoch: 2 [24320/47500]	Loss: 1.0448	LR: 0.100000
Training Epoch: 2 [24576/47500]	Loss: 1.0615	LR: 0.100000
Training Epoch: 2 [24832/47500]	Loss: 1.1995	LR: 0.100000
Training Epoch: 2 [25088/47500]	Loss: 1.1016	LR: 0.100000
Training Epoch: 2 [25344/47500]	Loss: 1.2244	LR: 0.100000
Training Epoch: 2 [25600/47500]	Loss: 1.1014	LR: 0.100000
Training Epoch: 2 [25856/47500]	Loss: 1.0897	LR: 0.100000
Training Epoch: 2 [26112/47500]	Loss: 1.2931	LR: 0.100000
Training Epoch: 2 [26368/47500]	Loss: 1.2477	LR: 0.100000
Training Epoch: 2 [26624/47500]	Loss: 1.1124	LR: 0.100000
Training Epoch: 2 [26880/47500]	Loss: 1.1577	LR: 0.100000
Training Epoch: 2 [27136/47500]	Loss: 1.1097	LR: 0.100000
Training Epoch: 2 [27392/47500]	Loss: 1.1798	LR: 0.100000
Training Epoch: 2 [27648/47500]	Loss: 1.1780	LR: 0.100000
Training Epoch: 2 [27904/47500]	Loss: 1.2194	LR: 0.100000
Training Epoch: 2 [28160/47500]	Loss: 1.0622	LR: 0.100000
Training Epoch: 2 [28416/47500]	Loss: 1.2255	LR: 0.100000
Training Epoch: 2 [28672/47500]	Loss: 1.2283	LR: 0.100000
Training Epoch: 2 [28928/47500]	Loss: 1.2133	LR: 0.100000
Training Epoch: 2 [29184/47500]	Loss: 1.1024	LR: 0.100000
Training Epoch: 2 [29440/47500]	Loss: 1.2200	LR: 0.100000
Training Epoch: 2 [29696/47500]	Loss: 1.0972	LR: 0.100000
Training Epoch: 2 [29952/47500]	Loss: 1.1310	LR: 0.100000
Training Epoch: 2 [30208/47500]	Loss: 1.0383	LR: 0.100000
Training Epoch: 2 [30464/47500]	Loss: 1.1008	LR: 0.100000
Training Epoch: 2 [30720/47500]	Loss: 1.1306	LR: 0.100000
Training Epoch: 2 [30976/47500]	Loss: 1.1261	LR: 0.100000
Training Epoch: 2 [31232/47500]	Loss: 1.1165	LR: 0.100000
Training Epoch: 2 [31488/47500]	Loss: 1.1785	LR: 0.100000
Training Epoch: 2 [31744/47500]	Loss: 1.2025	LR: 0.100000
Training Epoch: 2 [32000/47500]	Loss: 1.1541	LR: 0.100000
Training Epoch: 2 [32256/47500]	Loss: 0.9877	LR: 0.100000
Training Epoch: 2 [32512/47500]	Loss: 1.0711	LR: 0.100000
Training Epoch: 2 [32768/47500]	Loss: 1.1553	LR: 0.100000
Training Epoch: 2 [33024/47500]	Loss: 1.0684	LR: 0.100000
Training Epoch: 2 [33280/47500]	Loss: 1.1210	LR: 0.100000
Training Epoch: 2 [33536/47500]	Loss: 1.0726	LR: 0.100000
Training Epoch: 2 [33792/47500]	Loss: 1.0288	LR: 0.100000
Training Epoch: 2 [34048/47500]	Loss: 1.0459	LR: 0.100000
Training Epoch: 2 [34304/47500]	Loss: 1.1880	LR: 0.100000
Training Epoch: 2 [34560/47500]	Loss: 1.2012	LR: 0.100000
Training Epoch: 2 [34816/47500]	Loss: 1.1905	LR: 0.100000
Training Epoch: 2 [35072/47500]	Loss: 1.0308	LR: 0.100000
Training Epoch: 2 [35328/47500]	Loss: 1.0387	LR: 0.100000
Training Epoch: 2 [35584/47500]	Loss: 0.9431	LR: 0.100000
Training Epoch: 2 [35840/47500]	Loss: 1.1945	LR: 0.100000
Training Epoch: 2 [36096/47500]	Loss: 1.1146	LR: 0.100000
Training Epoch: 2 [36352/47500]	Loss: 1.1022	LR: 0.100000
Training Epoch: 2 [36608/47500]	Loss: 0.9349	LR: 0.100000
Training Epoch: 2 [36864/47500]	Loss: 1.0130	LR: 0.100000
Training Epoch: 2 [37120/47500]	Loss: 1.0916	LR: 0.100000
Training Epoch: 2 [37376/47500]	Loss: 1.0739	LR: 0.100000
Training Epoch: 2 [37632/47500]	Loss: 1.0753	LR: 0.100000
Training Epoch: 2 [37888/47500]	Loss: 1.1328	LR: 0.100000
Training Epoch: 2 [38144/47500]	Loss: 1.1445	LR: 0.100000
Training Epoch: 2 [38400/47500]	Loss: 1.0419	LR: 0.100000
Training Epoch: 2 [38656/47500]	Loss: 1.0194	LR: 0.100000
Training Epoch: 2 [38912/47500]	Loss: 1.0636	LR: 0.100000
Training Epoch: 2 [39168/47500]	Loss: 1.0286	LR: 0.100000
Training Epoch: 2 [39424/47500]	Loss: 1.0799	LR: 0.100000
Training Epoch: 2 [39680/47500]	Loss: 1.1013	LR: 0.100000
Training Epoch: 2 [39936/47500]	Loss: 1.1304	LR: 0.100000
Training Epoch: 2 [40192/47500]	Loss: 0.9447	LR: 0.100000
Training Epoch: 2 [40448/47500]	Loss: 1.0771	LR: 0.100000
Training Epoch: 2 [40704/47500]	Loss: 1.0678	LR: 0.100000
Training Epoch: 2 [40960/47500]	Loss: 1.1178	LR: 0.100000
Training Epoch: 2 [41216/47500]	Loss: 0.9730	LR: 0.100000
Training Epoch: 2 [41472/47500]	Loss: 0.9944	LR: 0.100000
Training Epoch: 2 [41728/47500]	Loss: 1.0984	LR: 0.100000
Training Epoch: 2 [41984/47500]	Loss: 1.0946	LR: 0.100000
Training Epoch: 2 [42240/47500]	Loss: 1.0812	LR: 0.100000
Training Epoch: 2 [42496/47500]	Loss: 1.0459	LR: 0.100000
Training Epoch: 2 [42752/47500]	Loss: 1.0361	LR: 0.100000
Training Epoch: 2 [43008/47500]	Loss: 1.1395	LR: 0.100000
Training Epoch: 2 [43264/47500]	Loss: 1.0074	LR: 0.100000
Training Epoch: 2 [43520/47500]	Loss: 1.0670	LR: 0.100000
Training Epoch: 2 [43776/47500]	Loss: 1.0760	LR: 0.100000
Training Epoch: 2 [44032/47500]	Loss: 1.0057	LR: 0.100000
Training Epoch: 2 [44288/47500]	Loss: 1.1017	LR: 0.100000
Training Epoch: 2 [44544/47500]	Loss: 1.0579	LR: 0.100000
Training Epoch: 2 [44800/47500]	Loss: 1.0732	LR: 0.100000
Training Epoch: 2 [45056/47500]	Loss: 1.0788	LR: 0.100000
Training Epoch: 2 [45312/47500]	Loss: 1.0130	LR: 0.100000
Training Epoch: 2 [45568/47500]	Loss: 0.9859	LR: 0.100000
Training Epoch: 2 [45824/47500]	Loss: 1.1583	LR: 0.100000
Training Epoch: 2 [46080/47500]	Loss: 1.0539	LR: 0.100000
Training Epoch: 2 [46336/47500]	Loss: 0.9659	LR: 0.100000
Training Epoch: 2 [46592/47500]	Loss: 1.0260	LR: 0.100000
Training Epoch: 2 [46848/47500]	Loss: 1.1126	LR: 0.100000
Training Epoch: 2 [47104/47500]	Loss: 1.0519	LR: 0.100000
Training Epoch: 2 [47360/47500]	Loss: 1.0555	LR: 0.100000
Training Epoch: 2 [47500/47500]	Loss: 1.0280	LR: 0.100000
Epoch 2 - Average Train Loss: 1.1760, Train Accuracy: 0.5773
Epoch 2 training time consumed: 26.73s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0053, Accuracy: 0.5635, Time consumed:1.00s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_02h_13m_37s/AllCNN-Cifar10-seed9-ret50-2-best.pth
Training Epoch: 3 [256/47500]	Loss: 0.8645	LR: 0.100000
Training Epoch: 3 [512/47500]	Loss: 0.9436	LR: 0.100000
Training Epoch: 3 [768/47500]	Loss: 0.9957	LR: 0.100000
Training Epoch: 3 [1024/47500]	Loss: 1.0979	LR: 0.100000
Training Epoch: 3 [1280/47500]	Loss: 0.9674	LR: 0.100000
Training Epoch: 3 [1536/47500]	Loss: 0.9824	LR: 0.100000
Training Epoch: 3 [1792/47500]	Loss: 1.0010	LR: 0.100000
Training Epoch: 3 [2048/47500]	Loss: 0.9711	LR: 0.100000
Training Epoch: 3 [2304/47500]	Loss: 1.0906	LR: 0.100000
Training Epoch: 3 [2560/47500]	Loss: 1.0944	LR: 0.100000
Training Epoch: 3 [2816/47500]	Loss: 1.1986	LR: 0.100000
Training Epoch: 3 [3072/47500]	Loss: 1.0120	LR: 0.100000
Training Epoch: 3 [3328/47500]	Loss: 1.0726	LR: 0.100000
Training Epoch: 3 [3584/47500]	Loss: 1.1216	LR: 0.100000
Training Epoch: 3 [3840/47500]	Loss: 0.9448	LR: 0.100000
Training Epoch: 3 [4096/47500]	Loss: 1.0240	LR: 0.100000
Training Epoch: 3 [4352/47500]	Loss: 1.1901	LR: 0.100000
Training Epoch: 3 [4608/47500]	Loss: 1.0609	LR: 0.100000
Training Epoch: 3 [4864/47500]	Loss: 1.0336	LR: 0.100000
Training Epoch: 3 [5120/47500]	Loss: 1.0431	LR: 0.100000
Training Epoch: 3 [5376/47500]	Loss: 0.9593	LR: 0.100000
Training Epoch: 3 [5632/47500]	Loss: 1.1401	LR: 0.100000
Training Epoch: 3 [5888/47500]	Loss: 0.9517	LR: 0.100000
Training Epoch: 3 [6144/47500]	Loss: 0.9473	LR: 0.100000
Training Epoch: 3 [6400/47500]	Loss: 1.0121	LR: 0.100000
Training Epoch: 3 [6656/47500]	Loss: 1.0238	LR: 0.100000
Training Epoch: 3 [6912/47500]	Loss: 0.9792	LR: 0.100000
Training Epoch: 3 [7168/47500]	Loss: 1.0996	LR: 0.100000
Training Epoch: 3 [7424/47500]	Loss: 0.8795	LR: 0.100000
Training Epoch: 3 [7680/47500]	Loss: 0.9982	LR: 0.100000
Training Epoch: 3 [7936/47500]	Loss: 1.0229	LR: 0.100000
Training Epoch: 3 [8192/47500]	Loss: 1.0311	LR: 0.100000
Training Epoch: 3 [8448/47500]	Loss: 1.1060	LR: 0.100000
Training Epoch: 3 [8704/47500]	Loss: 0.9842	LR: 0.100000
Training Epoch: 3 [8960/47500]	Loss: 1.0008	LR: 0.100000
Training Epoch: 3 [9216/47500]	Loss: 0.9566	LR: 0.100000
Training Epoch: 3 [9472/47500]	Loss: 0.9930	LR: 0.100000
Training Epoch: 3 [9728/47500]	Loss: 1.0433	LR: 0.100000
Training Epoch: 3 [9984/47500]	Loss: 1.0545	LR: 0.100000
Training Epoch: 3 [10240/47500]	Loss: 1.0144	LR: 0.100000
Training Epoch: 3 [10496/47500]	Loss: 1.0855	LR: 0.100000
Training Epoch: 3 [10752/47500]	Loss: 1.1585	LR: 0.100000
Training Epoch: 3 [11008/47500]	Loss: 1.0712	LR: 0.100000
Training Epoch: 3 [11264/47500]	Loss: 0.9814	LR: 0.100000
Training Epoch: 3 [11520/47500]	Loss: 0.8877	LR: 0.100000
Training Epoch: 3 [11776/47500]	Loss: 1.0694	LR: 0.100000
Training Epoch: 3 [12032/47500]	Loss: 0.9139	LR: 0.100000
Training Epoch: 3 [12288/47500]	Loss: 1.0433	LR: 0.100000
Training Epoch: 3 [12544/47500]	Loss: 0.9891	LR: 0.100000
Training Epoch: 3 [12800/47500]	Loss: 1.0914	LR: 0.100000
Training Epoch: 3 [13056/47500]	Loss: 1.0465	LR: 0.100000
Training Epoch: 3 [13312/47500]	Loss: 0.9122	LR: 0.100000
Training Epoch: 3 [13568/47500]	Loss: 0.9627	LR: 0.100000
Training Epoch: 3 [13824/47500]	Loss: 0.9980	LR: 0.100000
Training Epoch: 3 [14080/47500]	Loss: 0.9198	LR: 0.100000
Training Epoch: 3 [14336/47500]	Loss: 0.9374	LR: 0.100000
Training Epoch: 3 [14592/47500]	Loss: 1.0696	LR: 0.100000
Training Epoch: 3 [14848/47500]	Loss: 1.0608	LR: 0.100000
Training Epoch: 3 [15104/47500]	Loss: 0.9920	LR: 0.100000
Training Epoch: 3 [15360/47500]	Loss: 1.0610	LR: 0.100000
Training Epoch: 3 [15616/47500]	Loss: 0.8923	LR: 0.100000
Training Epoch: 3 [15872/47500]	Loss: 0.9861	LR: 0.100000
Training Epoch: 3 [16128/47500]	Loss: 1.0216	LR: 0.100000
Training Epoch: 3 [16384/47500]	Loss: 1.0179	LR: 0.100000
Training Epoch: 3 [16640/47500]	Loss: 0.9368	LR: 0.100000
Training Epoch: 3 [16896/47500]	Loss: 1.0464	LR: 0.100000
Training Epoch: 3 [17152/47500]	Loss: 1.0988	LR: 0.100000
Training Epoch: 3 [17408/47500]	Loss: 0.9134	LR: 0.100000
Training Epoch: 3 [17664/47500]	Loss: 0.8908	LR: 0.100000
Training Epoch: 3 [17920/47500]	Loss: 0.9802	LR: 0.100000
Training Epoch: 3 [18176/47500]	Loss: 0.9466	LR: 0.100000
Training Epoch: 3 [18432/47500]	Loss: 0.9990	LR: 0.100000
Training Epoch: 3 [18688/47500]	Loss: 0.9701	LR: 0.100000
Training Epoch: 3 [18944/47500]	Loss: 0.9934	LR: 0.100000
Training Epoch: 3 [19200/47500]	Loss: 0.9147	LR: 0.100000
Training Epoch: 3 [19456/47500]	Loss: 1.1245	LR: 0.100000
Training Epoch: 3 [19712/47500]	Loss: 1.0593	LR: 0.100000
Training Epoch: 3 [19968/47500]	Loss: 1.0415	LR: 0.100000
Training Epoch: 3 [20224/47500]	Loss: 0.9604	LR: 0.100000
Training Epoch: 3 [20480/47500]	Loss: 1.0471	LR: 0.100000
Training Epoch: 3 [20736/47500]	Loss: 0.9833	LR: 0.100000
Training Epoch: 3 [20992/47500]	Loss: 0.8456	LR: 0.100000
Training Epoch: 3 [21248/47500]	Loss: 1.0912	LR: 0.100000
Training Epoch: 3 [21504/47500]	Loss: 0.9717	LR: 0.100000
Training Epoch: 3 [21760/47500]	Loss: 0.9149	LR: 0.100000
Training Epoch: 3 [22016/47500]	Loss: 0.9778	LR: 0.100000
Training Epoch: 3 [22272/47500]	Loss: 1.0223	LR: 0.100000
Training Epoch: 3 [22528/47500]	Loss: 0.9204	LR: 0.100000
Training Epoch: 3 [22784/47500]	Loss: 0.9086	LR: 0.100000
Training Epoch: 3 [23040/47500]	Loss: 0.9807	LR: 0.100000
Training Epoch: 3 [23296/47500]	Loss: 1.0123	LR: 0.100000
Training Epoch: 3 [23552/47500]	Loss: 1.0202	LR: 0.100000
Training Epoch: 3 [23808/47500]	Loss: 1.0689	LR: 0.100000
Training Epoch: 3 [24064/47500]	Loss: 1.0161	LR: 0.100000
Training Epoch: 3 [24320/47500]	Loss: 0.9800	LR: 0.100000
Training Epoch: 3 [24576/47500]	Loss: 1.0930	LR: 0.100000
Training Epoch: 3 [24832/47500]	Loss: 1.0436	LR: 0.100000
Training Epoch: 3 [25088/47500]	Loss: 1.0413	LR: 0.100000
Training Epoch: 3 [25344/47500]	Loss: 0.9552	LR: 0.100000
Training Epoch: 3 [25600/47500]	Loss: 1.0163	LR: 0.100000
Training Epoch: 3 [25856/47500]	Loss: 0.9680	LR: 0.100000
Training Epoch: 3 [26112/47500]	Loss: 1.0652	LR: 0.100000
Training Epoch: 3 [26368/47500]	Loss: 1.0180	LR: 0.100000
Training Epoch: 3 [26624/47500]	Loss: 0.8879	LR: 0.100000
Training Epoch: 3 [26880/47500]	Loss: 0.9611	LR: 0.100000
Training Epoch: 3 [27136/47500]	Loss: 0.9807	LR: 0.100000
Training Epoch: 3 [27392/47500]	Loss: 0.8222	LR: 0.100000
Training Epoch: 3 [27648/47500]	Loss: 0.9912	LR: 0.100000
Training Epoch: 3 [27904/47500]	Loss: 1.0008	LR: 0.100000
Training Epoch: 3 [28160/47500]	Loss: 1.0257	LR: 0.100000
Training Epoch: 3 [28416/47500]	Loss: 0.8717	LR: 0.100000
Training Epoch: 3 [28672/47500]	Loss: 1.0488	LR: 0.100000
Training Epoch: 3 [28928/47500]	Loss: 0.9857	LR: 0.100000
Training Epoch: 3 [29184/47500]	Loss: 0.9141	LR: 0.100000
Training Epoch: 3 [29440/47500]	Loss: 1.0087	LR: 0.100000
Training Epoch: 3 [29696/47500]	Loss: 0.9633	LR: 0.100000
Training Epoch: 3 [29952/47500]	Loss: 1.0359	LR: 0.100000
Training Epoch: 3 [30208/47500]	Loss: 1.0427	LR: 0.100000
Training Epoch: 3 [30464/47500]	Loss: 0.9732	LR: 0.100000
Training Epoch: 3 [30720/47500]	Loss: 0.9837	LR: 0.100000
Training Epoch: 3 [30976/47500]	Loss: 1.0855	LR: 0.100000
Training Epoch: 3 [31232/47500]	Loss: 0.9745	LR: 0.100000
Training Epoch: 3 [31488/47500]	Loss: 0.9827	LR: 0.100000
Training Epoch: 3 [31744/47500]	Loss: 0.9580	LR: 0.100000
Training Epoch: 3 [32000/47500]	Loss: 0.9665	LR: 0.100000
Training Epoch: 3 [32256/47500]	Loss: 0.9453	LR: 0.100000
Training Epoch: 3 [32512/47500]	Loss: 0.9721	LR: 0.100000
Training Epoch: 3 [32768/47500]	Loss: 0.9121	LR: 0.100000
Training Epoch: 3 [33024/47500]	Loss: 0.9096	LR: 0.100000
Training Epoch: 3 [33280/47500]	Loss: 0.8877	LR: 0.100000
Training Epoch: 3 [33536/47500]	Loss: 0.8990	LR: 0.100000
Training Epoch: 3 [33792/47500]	Loss: 0.8442	LR: 0.100000
Training Epoch: 3 [34048/47500]	Loss: 0.8304	LR: 0.100000
Training Epoch: 3 [34304/47500]	Loss: 0.9903	LR: 0.100000
Training Epoch: 3 [34560/47500]	Loss: 0.7976	LR: 0.100000
Training Epoch: 3 [34816/47500]	Loss: 0.9787	LR: 0.100000
Training Epoch: 3 [35072/47500]	Loss: 0.8734	LR: 0.100000
Training Epoch: 3 [35328/47500]	Loss: 0.9450	LR: 0.100000
Training Epoch: 3 [35584/47500]	Loss: 0.9366	LR: 0.100000
Training Epoch: 3 [35840/47500]	Loss: 0.9342	LR: 0.100000
Training Epoch: 3 [36096/47500]	Loss: 0.8503	LR: 0.100000
Training Epoch: 3 [36352/47500]	Loss: 0.8554	LR: 0.100000
Training Epoch: 3 [36608/47500]	Loss: 0.9625	LR: 0.100000
Training Epoch: 3 [36864/47500]	Loss: 0.9351	LR: 0.100000
Training Epoch: 3 [37120/47500]	Loss: 0.9451	LR: 0.100000
Training Epoch: 3 [37376/47500]	Loss: 0.8603	LR: 0.100000
Training Epoch: 3 [37632/47500]	Loss: 0.8532	LR: 0.100000
Training Epoch: 3 [37888/47500]	Loss: 0.9538	LR: 0.100000
Training Epoch: 3 [38144/47500]	Loss: 0.8765	LR: 0.100000
Training Epoch: 3 [38400/47500]	Loss: 0.9132	LR: 0.100000
Training Epoch: 3 [38656/47500]	Loss: 0.9875	LR: 0.100000
Training Epoch: 3 [38912/47500]	Loss: 0.8617	LR: 0.100000
Training Epoch: 3 [39168/47500]	Loss: 0.9387	LR: 0.100000
Training Epoch: 3 [39424/47500]	Loss: 0.8756	LR: 0.100000
Training Epoch: 3 [39680/47500]	Loss: 0.9048	LR: 0.100000
Training Epoch: 3 [39936/47500]	Loss: 0.8720	LR: 0.100000
Training Epoch: 3 [40192/47500]	Loss: 1.0505	LR: 0.100000
Training Epoch: 3 [40448/47500]	Loss: 0.8877	LR: 0.100000
Training Epoch: 3 [40704/47500]	Loss: 0.8924	LR: 0.100000
Training Epoch: 3 [40960/47500]	Loss: 0.8682	LR: 0.100000
Training Epoch: 3 [41216/47500]	Loss: 0.9664	LR: 0.100000
Training Epoch: 3 [41472/47500]	Loss: 0.9158	LR: 0.100000
Training Epoch: 3 [41728/47500]	Loss: 0.8599	LR: 0.100000
Training Epoch: 3 [41984/47500]	Loss: 0.8056	LR: 0.100000
Training Epoch: 3 [42240/47500]	Loss: 1.1074	LR: 0.100000
Training Epoch: 3 [42496/47500]	Loss: 0.8698	LR: 0.100000
Training Epoch: 3 [42752/47500]	Loss: 0.9230	LR: 0.100000
Training Epoch: 3 [43008/47500]	Loss: 0.8607	LR: 0.100000
Training Epoch: 3 [43264/47500]	Loss: 1.0293	LR: 0.100000
Training Epoch: 3 [43520/47500]	Loss: 0.9266	LR: 0.100000
Training Epoch: 3 [43776/47500]	Loss: 0.9270	LR: 0.100000
Training Epoch: 3 [44032/47500]	Loss: 0.9510	LR: 0.100000
Training Epoch: 3 [44288/47500]	Loss: 0.9009	LR: 0.100000
Training Epoch: 3 [44544/47500]	Loss: 1.0203	LR: 0.100000
Training Epoch: 3 [44800/47500]	Loss: 0.8432	LR: 0.100000
Training Epoch: 3 [45056/47500]	Loss: 0.9960	LR: 0.100000
Training Epoch: 3 [45312/47500]	Loss: 0.9186	LR: 0.100000
Training Epoch: 3 [45568/47500]	Loss: 0.8207	LR: 0.100000
Training Epoch: 3 [45824/47500]	Loss: 0.8309	LR: 0.100000
Training Epoch: 3 [46080/47500]	Loss: 0.9004	LR: 0.100000
Training Epoch: 3 [46336/47500]	Loss: 0.8726	LR: 0.100000
Training Epoch: 3 [46592/47500]	Loss: 0.9739	LR: 0.100000
Training Epoch: 3 [46848/47500]	Loss: 0.8853	LR: 0.100000
Training Epoch: 3 [47104/47500]	Loss: 0.8349	LR: 0.100000
Training Epoch: 3 [47360/47500]	Loss: 0.7598	LR: 0.100000
Training Epoch: 3 [47500/47500]	Loss: 0.9402	LR: 0.100000
Epoch 3 - Average Train Loss: 0.9722, Train Accuracy: 0.6542
Epoch 3 training time consumed: 26.74s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0038, Accuracy: 0.6700, Time consumed:0.93s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_02h_13m_37s/AllCNN-Cifar10-seed9-ret50-3-best.pth
Training Epoch: 4 [256/47500]	Loss: 0.8368	LR: 0.100000
Training Epoch: 4 [512/47500]	Loss: 0.7765	LR: 0.100000
Training Epoch: 4 [768/47500]	Loss: 0.9174	LR: 0.100000
Training Epoch: 4 [1024/47500]	Loss: 0.9967	LR: 0.100000
Training Epoch: 4 [1280/47500]	Loss: 0.8191	LR: 0.100000
Training Epoch: 4 [1536/47500]	Loss: 0.8451	LR: 0.100000
Training Epoch: 4 [1792/47500]	Loss: 0.8221	LR: 0.100000
Training Epoch: 4 [2048/47500]	Loss: 0.8795	LR: 0.100000
Training Epoch: 4 [2304/47500]	Loss: 0.8249	LR: 0.100000
Training Epoch: 4 [2560/47500]	Loss: 0.8565	LR: 0.100000
Training Epoch: 4 [2816/47500]	Loss: 0.7788	LR: 0.100000
Training Epoch: 4 [3072/47500]	Loss: 0.8624	LR: 0.100000
Training Epoch: 4 [3328/47500]	Loss: 1.0773	LR: 0.100000
Training Epoch: 4 [3584/47500]	Loss: 0.8770	LR: 0.100000
Training Epoch: 4 [3840/47500]	Loss: 0.8844	LR: 0.100000
Training Epoch: 4 [4096/47500]	Loss: 0.8765	LR: 0.100000
Training Epoch: 4 [4352/47500]	Loss: 0.9695	LR: 0.100000
Training Epoch: 4 [4608/47500]	Loss: 0.8649	LR: 0.100000
Training Epoch: 4 [4864/47500]	Loss: 0.8827	LR: 0.100000
Training Epoch: 4 [5120/47500]	Loss: 0.7601	LR: 0.100000
Training Epoch: 4 [5376/47500]	Loss: 0.9059	LR: 0.100000
Training Epoch: 4 [5632/47500]	Loss: 0.8895	LR: 0.100000
Training Epoch: 4 [5888/47500]	Loss: 0.9767	LR: 0.100000
Training Epoch: 4 [6144/47500]	Loss: 0.7638	LR: 0.100000
Training Epoch: 4 [6400/47500]	Loss: 0.8893	LR: 0.100000
Training Epoch: 4 [6656/47500]	Loss: 0.8742	LR: 0.100000
Training Epoch: 4 [6912/47500]	Loss: 0.8765	LR: 0.100000
Training Epoch: 4 [7168/47500]	Loss: 0.8463	LR: 0.100000
Training Epoch: 4 [7424/47500]	Loss: 0.9597	LR: 0.100000
Training Epoch: 4 [7680/47500]	Loss: 0.9257	LR: 0.100000
Training Epoch: 4 [7936/47500]	Loss: 0.7978	LR: 0.100000
Training Epoch: 4 [8192/47500]	Loss: 0.8548	LR: 0.100000
Training Epoch: 4 [8448/47500]	Loss: 0.7503	LR: 0.100000
Training Epoch: 4 [8704/47500]	Loss: 0.7148	LR: 0.100000
Training Epoch: 4 [8960/47500]	Loss: 0.9401	LR: 0.100000
Training Epoch: 4 [9216/47500]	Loss: 0.8264	LR: 0.100000
Training Epoch: 4 [9472/47500]	Loss: 0.9851	LR: 0.100000
Training Epoch: 4 [9728/47500]	Loss: 0.8861	LR: 0.100000
Training Epoch: 4 [9984/47500]	Loss: 0.9378	LR: 0.100000
Training Epoch: 4 [10240/47500]	Loss: 0.9147	LR: 0.100000
Training Epoch: 4 [10496/47500]	Loss: 0.8584	LR: 0.100000
Training Epoch: 4 [10752/47500]	Loss: 0.8242	LR: 0.100000
Training Epoch: 4 [11008/47500]	Loss: 0.8809	LR: 0.100000
Training Epoch: 4 [11264/47500]	Loss: 0.7705	LR: 0.100000
Training Epoch: 4 [11520/47500]	Loss: 0.8615	LR: 0.100000
Training Epoch: 4 [11776/47500]	Loss: 0.9881	LR: 0.100000
Training Epoch: 4 [12032/47500]	Loss: 0.8074	LR: 0.100000
Training Epoch: 4 [12288/47500]	Loss: 0.8406	LR: 0.100000
Training Epoch: 4 [12544/47500]	Loss: 0.8622	LR: 0.100000
Training Epoch: 4 [12800/47500]	Loss: 0.8362	LR: 0.100000
Training Epoch: 4 [13056/47500]	Loss: 0.8363	LR: 0.100000
Training Epoch: 4 [13312/47500]	Loss: 0.8706	LR: 0.100000
Training Epoch: 4 [13568/47500]	Loss: 0.7396	LR: 0.100000
Training Epoch: 4 [13824/47500]	Loss: 0.9074	LR: 0.100000
Training Epoch: 4 [14080/47500]	Loss: 0.6957	LR: 0.100000
Training Epoch: 4 [14336/47500]	Loss: 0.9133	LR: 0.100000
Training Epoch: 4 [14592/47500]	Loss: 0.8010	LR: 0.100000
Training Epoch: 4 [14848/47500]	Loss: 0.8674	LR: 0.100000
Training Epoch: 4 [15104/47500]	Loss: 0.7714	LR: 0.100000
Training Epoch: 4 [15360/47500]	Loss: 0.7919	LR: 0.100000
Training Epoch: 4 [15616/47500]	Loss: 0.7065	LR: 0.100000
Training Epoch: 4 [15872/47500]	Loss: 0.8569	LR: 0.100000
Training Epoch: 4 [16128/47500]	Loss: 0.8013	LR: 0.100000
Training Epoch: 4 [16384/47500]	Loss: 0.8077	LR: 0.100000
Training Epoch: 4 [16640/47500]	Loss: 0.8165	LR: 0.100000
Training Epoch: 4 [16896/47500]	Loss: 0.8619	LR: 0.100000
Training Epoch: 4 [17152/47500]	Loss: 0.9198	LR: 0.100000
Training Epoch: 4 [17408/47500]	Loss: 0.7648	LR: 0.100000
Training Epoch: 4 [17664/47500]	Loss: 0.9136	LR: 0.100000
Training Epoch: 4 [17920/47500]	Loss: 0.9073	LR: 0.100000
Training Epoch: 4 [18176/47500]	Loss: 0.6819	LR: 0.100000
Training Epoch: 4 [18432/47500]	Loss: 0.8888	LR: 0.100000
Training Epoch: 4 [18688/47500]	Loss: 0.9085	LR: 0.100000
Training Epoch: 4 [18944/47500]	Loss: 0.8539	LR: 0.100000
Training Epoch: 4 [19200/47500]	Loss: 0.6926	LR: 0.100000
Training Epoch: 4 [19456/47500]	Loss: 0.8948	LR: 0.100000
Training Epoch: 4 [19712/47500]	Loss: 0.7671	LR: 0.100000
Training Epoch: 4 [19968/47500]	Loss: 0.8664	LR: 0.100000
Training Epoch: 4 [20224/47500]	Loss: 0.9400	LR: 0.100000
Training Epoch: 4 [20480/47500]	Loss: 0.8948	LR: 0.100000
Training Epoch: 4 [20736/47500]	Loss: 0.8230	LR: 0.100000
Training Epoch: 4 [20992/47500]	Loss: 0.8207	LR: 0.100000
Training Epoch: 4 [21248/47500]	Loss: 0.7977	LR: 0.100000
Training Epoch: 4 [21504/47500]	Loss: 0.9380	LR: 0.100000
Training Epoch: 4 [21760/47500]	Loss: 0.8380	LR: 0.100000
Training Epoch: 4 [22016/47500]	Loss: 0.8860	LR: 0.100000
Training Epoch: 4 [22272/47500]	Loss: 0.6919	LR: 0.100000
Training Epoch: 4 [22528/47500]	Loss: 0.8843	LR: 0.100000
Training Epoch: 4 [22784/47500]	Loss: 0.8066	LR: 0.100000
Training Epoch: 4 [23040/47500]	Loss: 0.9303	LR: 0.100000
Training Epoch: 4 [23296/47500]	Loss: 0.7417	LR: 0.100000
Training Epoch: 4 [23552/47500]	Loss: 0.8019	LR: 0.100000
Training Epoch: 4 [23808/47500]	Loss: 0.9451	LR: 0.100000
Training Epoch: 4 [24064/47500]	Loss: 0.8626	LR: 0.100000
Training Epoch: 4 [24320/47500]	Loss: 0.8278	LR: 0.100000
Training Epoch: 4 [24576/47500]	Loss: 0.8910	LR: 0.100000
Training Epoch: 4 [24832/47500]	Loss: 0.7928	LR: 0.100000
Training Epoch: 4 [25088/47500]	Loss: 0.8683	LR: 0.100000
Training Epoch: 4 [25344/47500]	Loss: 0.8448	LR: 0.100000
Training Epoch: 4 [25600/47500]	Loss: 0.8166	LR: 0.100000
Training Epoch: 4 [25856/47500]	Loss: 0.7878	LR: 0.100000
Training Epoch: 4 [26112/47500]	Loss: 0.7058	LR: 0.100000
Training Epoch: 4 [26368/47500]	Loss: 0.8812	LR: 0.100000
Training Epoch: 4 [26624/47500]	Loss: 0.8681	LR: 0.100000
Training Epoch: 4 [26880/47500]	Loss: 0.9095	LR: 0.100000
Training Epoch: 4 [27136/47500]	Loss: 0.8452	LR: 0.100000
Training Epoch: 4 [27392/47500]	Loss: 0.8391	LR: 0.100000
Training Epoch: 4 [27648/47500]	Loss: 0.7267	LR: 0.100000
Training Epoch: 4 [27904/47500]	Loss: 0.7814	LR: 0.100000
Training Epoch: 4 [28160/47500]	Loss: 0.8379	LR: 0.100000
Training Epoch: 4 [28416/47500]	Loss: 0.7968	LR: 0.100000
Training Epoch: 4 [28672/47500]	Loss: 0.7782	LR: 0.100000
Training Epoch: 4 [28928/47500]	Loss: 0.7641	LR: 0.100000
Training Epoch: 4 [29184/47500]	Loss: 0.7776	LR: 0.100000
Training Epoch: 4 [29440/47500]	Loss: 0.7839	LR: 0.100000
Training Epoch: 4 [29696/47500]	Loss: 0.8213	LR: 0.100000
Training Epoch: 4 [29952/47500]	Loss: 0.8451	LR: 0.100000
Training Epoch: 4 [30208/47500]	Loss: 0.9043	LR: 0.100000
Training Epoch: 4 [30464/47500]	Loss: 0.7992	LR: 0.100000
Training Epoch: 4 [30720/47500]	Loss: 0.8086	LR: 0.100000
Training Epoch: 4 [30976/47500]	Loss: 0.8993	LR: 0.100000
Training Epoch: 4 [31232/47500]	Loss: 0.8380	LR: 0.100000
Training Epoch: 4 [31488/47500]	Loss: 0.8821	LR: 0.100000
Training Epoch: 4 [31744/47500]	Loss: 0.8545	LR: 0.100000
Training Epoch: 4 [32000/47500]	Loss: 0.8065	LR: 0.100000
Training Epoch: 4 [32256/47500]	Loss: 0.8841	LR: 0.100000
Training Epoch: 4 [32512/47500]	Loss: 0.8194	LR: 0.100000
Training Epoch: 4 [32768/47500]	Loss: 0.8058	LR: 0.100000
Training Epoch: 4 [33024/47500]	Loss: 0.7663	LR: 0.100000
Training Epoch: 4 [33280/47500]	Loss: 0.8511	LR: 0.100000
Training Epoch: 4 [33536/47500]	Loss: 0.8811	LR: 0.100000
Training Epoch: 4 [33792/47500]	Loss: 0.8808	LR: 0.100000
Training Epoch: 4 [34048/47500]	Loss: 0.8412	LR: 0.100000
Training Epoch: 4 [34304/47500]	Loss: 0.7402	LR: 0.100000
Training Epoch: 4 [34560/47500]	Loss: 0.7292	LR: 0.100000
Training Epoch: 4 [34816/47500]	Loss: 0.8263	LR: 0.100000
Training Epoch: 4 [35072/47500]	Loss: 0.8907	LR: 0.100000
Training Epoch: 4 [35328/47500]	Loss: 0.7907	LR: 0.100000
Training Epoch: 4 [35584/47500]	Loss: 0.8155	LR: 0.100000
Training Epoch: 4 [35840/47500]	Loss: 0.9310	LR: 0.100000
Training Epoch: 4 [36096/47500]	Loss: 0.7413	LR: 0.100000
Training Epoch: 4 [36352/47500]	Loss: 0.9024	LR: 0.100000
Training Epoch: 4 [36608/47500]	Loss: 0.8126	LR: 0.100000
Training Epoch: 4 [36864/47500]	Loss: 0.7448	LR: 0.100000
Training Epoch: 4 [37120/47500]	Loss: 0.8240	LR: 0.100000
Training Epoch: 4 [37376/47500]	Loss: 0.7028	LR: 0.100000
Training Epoch: 4 [37632/47500]	Loss: 0.8191	LR: 0.100000
Training Epoch: 4 [37888/47500]	Loss: 0.7415	LR: 0.100000
Training Epoch: 4 [38144/47500]	Loss: 0.7645	LR: 0.100000
Training Epoch: 4 [38400/47500]	Loss: 0.8348	LR: 0.100000
Training Epoch: 4 [38656/47500]	Loss: 0.8790	LR: 0.100000
Training Epoch: 4 [38912/47500]	Loss: 0.6785	LR: 0.100000
Training Epoch: 4 [39168/47500]	Loss: 0.9591	LR: 0.100000
Training Epoch: 4 [39424/47500]	Loss: 0.8292	LR: 0.100000
Training Epoch: 4 [39680/47500]	Loss: 0.8500	LR: 0.100000
Training Epoch: 4 [39936/47500]	Loss: 0.7882	LR: 0.100000
Training Epoch: 4 [40192/47500]	Loss: 0.8924	LR: 0.100000
Training Epoch: 4 [40448/47500]	Loss: 0.7671	LR: 0.100000
Training Epoch: 4 [40704/47500]	Loss: 0.8918	LR: 0.100000
Training Epoch: 4 [40960/47500]	Loss: 0.8644	LR: 0.100000
Training Epoch: 4 [41216/47500]	Loss: 0.8362	LR: 0.100000
Training Epoch: 4 [41472/47500]	Loss: 0.7833	LR: 0.100000
Training Epoch: 4 [41728/47500]	Loss: 0.7441	LR: 0.100000
Training Epoch: 4 [41984/47500]	Loss: 0.7832	LR: 0.100000
Training Epoch: 4 [42240/47500]	Loss: 0.7792	LR: 0.100000
Training Epoch: 4 [42496/47500]	Loss: 0.7819	LR: 0.100000
Training Epoch: 4 [42752/47500]	Loss: 0.8520	LR: 0.100000
Training Epoch: 4 [43008/47500]	Loss: 0.8215	LR: 0.100000
Training Epoch: 4 [43264/47500]	Loss: 0.7279	LR: 0.100000
Training Epoch: 4 [43520/47500]	Loss: 0.8276	LR: 0.100000
Training Epoch: 4 [43776/47500]	Loss: 0.8371	LR: 0.100000
Training Epoch: 4 [44032/47500]	Loss: 0.7846	LR: 0.100000
Training Epoch: 4 [44288/47500]	Loss: 0.7994	LR: 0.100000
Training Epoch: 4 [44544/47500]	Loss: 0.9271	LR: 0.100000
Training Epoch: 4 [44800/47500]	Loss: 0.8647	LR: 0.100000
Training Epoch: 4 [45056/47500]	Loss: 0.7535	LR: 0.100000
Training Epoch: 4 [45312/47500]	Loss: 0.8122	LR: 0.100000
Training Epoch: 4 [45568/47500]	Loss: 0.8225	LR: 0.100000
Training Epoch: 4 [45824/47500]	Loss: 0.7682	LR: 0.100000
Training Epoch: 4 [46080/47500]	Loss: 0.8005	LR: 0.100000
Training Epoch: 4 [46336/47500]	Loss: 0.7521	LR: 0.100000
Training Epoch: 4 [46592/47500]	Loss: 0.7890	LR: 0.100000
Training Epoch: 4 [46848/47500]	Loss: 0.8199	LR: 0.100000
Training Epoch: 4 [47104/47500]	Loss: 0.8340	LR: 0.100000
Training Epoch: 4 [47360/47500]	Loss: 0.7461	LR: 0.100000
Training Epoch: 4 [47500/47500]	Loss: 0.9319	LR: 0.100000
Epoch 4 - Average Train Loss: 0.8356, Train Accuracy: 0.7047
Epoch 4 training time consumed: 26.60s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0046, Accuracy: 0.6376, Time consumed:0.92s
Training Epoch: 5 [256/47500]	Loss: 0.9944	LR: 0.100000
Training Epoch: 5 [512/47500]	Loss: 0.8122	LR: 0.100000
Training Epoch: 5 [768/47500]	Loss: 0.8277	LR: 0.100000
Training Epoch: 5 [1024/47500]	Loss: 0.8285	LR: 0.100000
Training Epoch: 5 [1280/47500]	Loss: 0.7020	LR: 0.100000
Training Epoch: 5 [1536/47500]	Loss: 0.8158	LR: 0.100000
Training Epoch: 5 [1792/47500]	Loss: 0.7403	LR: 0.100000
Training Epoch: 5 [2048/47500]	Loss: 0.8068	LR: 0.100000
Training Epoch: 5 [2304/47500]	Loss: 0.7457	LR: 0.100000
Training Epoch: 5 [2560/47500]	Loss: 0.8473	LR: 0.100000
Training Epoch: 5 [2816/47500]	Loss: 0.7639	LR: 0.100000
Training Epoch: 5 [3072/47500]	Loss: 0.9151	LR: 0.100000
Training Epoch: 5 [3328/47500]	Loss: 0.7559	LR: 0.100000
Training Epoch: 5 [3584/47500]	Loss: 0.7965	LR: 0.100000
Training Epoch: 5 [3840/47500]	Loss: 0.6872	LR: 0.100000
Training Epoch: 5 [4096/47500]	Loss: 0.7584	LR: 0.100000
Training Epoch: 5 [4352/47500]	Loss: 0.7951	LR: 0.100000
Training Epoch: 5 [4608/47500]	Loss: 0.7018	LR: 0.100000
Training Epoch: 5 [4864/47500]	Loss: 0.7545	LR: 0.100000
Training Epoch: 5 [5120/47500]	Loss: 0.7404	LR: 0.100000
Training Epoch: 5 [5376/47500]	Loss: 0.7767	LR: 0.100000
Training Epoch: 5 [5632/47500]	Loss: 0.7844	LR: 0.100000
Training Epoch: 5 [5888/47500]	Loss: 0.8416	LR: 0.100000
Training Epoch: 5 [6144/47500]	Loss: 0.7377	LR: 0.100000
Training Epoch: 5 [6400/47500]	Loss: 0.8397	LR: 0.100000
Training Epoch: 5 [6656/47500]	Loss: 0.7085	LR: 0.100000
Training Epoch: 5 [6912/47500]	Loss: 0.7864	LR: 0.100000
Training Epoch: 5 [7168/47500]	Loss: 0.6726	LR: 0.100000
Training Epoch: 5 [7424/47500]	Loss: 0.7355	LR: 0.100000
Training Epoch: 5 [7680/47500]	Loss: 0.7314	LR: 0.100000
Training Epoch: 5 [7936/47500]	Loss: 0.7697	LR: 0.100000
Training Epoch: 5 [8192/47500]	Loss: 0.8180	LR: 0.100000
Training Epoch: 5 [8448/47500]	Loss: 0.7723	LR: 0.100000
Training Epoch: 5 [8704/47500]	Loss: 0.7645	LR: 0.100000
Training Epoch: 5 [8960/47500]	Loss: 0.7966	LR: 0.100000
Training Epoch: 5 [9216/47500]	Loss: 0.6699	LR: 0.100000
Training Epoch: 5 [9472/47500]	Loss: 0.8585	LR: 0.100000
Training Epoch: 5 [9728/47500]	Loss: 0.7337	LR: 0.100000
Training Epoch: 5 [9984/47500]	Loss: 0.8743	LR: 0.100000
Training Epoch: 5 [10240/47500]	Loss: 0.8210	LR: 0.100000
Training Epoch: 5 [10496/47500]	Loss: 0.7558	LR: 0.100000
Training Epoch: 5 [10752/47500]	Loss: 0.8049	LR: 0.100000
Training Epoch: 5 [11008/47500]	Loss: 0.7174	LR: 0.100000
Training Epoch: 5 [11264/47500]	Loss: 0.7251	LR: 0.100000
Training Epoch: 5 [11520/47500]	Loss: 0.6875	LR: 0.100000
Training Epoch: 5 [11776/47500]	Loss: 0.7997	LR: 0.100000
Training Epoch: 5 [12032/47500]	Loss: 0.7094	LR: 0.100000
Training Epoch: 5 [12288/47500]	Loss: 0.6482	LR: 0.100000
Training Epoch: 5 [12544/47500]	Loss: 0.7730	LR: 0.100000
Training Epoch: 5 [12800/47500]	Loss: 0.7990	LR: 0.100000
Training Epoch: 5 [13056/47500]	Loss: 0.8760	LR: 0.100000
Training Epoch: 5 [13312/47500]	Loss: 0.8096	LR: 0.100000
Training Epoch: 5 [13568/47500]	Loss: 0.7838	LR: 0.100000
Training Epoch: 5 [13824/47500]	Loss: 0.8662	LR: 0.100000
Training Epoch: 5 [14080/47500]	Loss: 0.7166	LR: 0.100000
Training Epoch: 5 [14336/47500]	Loss: 0.7519	LR: 0.100000
Training Epoch: 5 [14592/47500]	Loss: 0.7916	LR: 0.100000
Training Epoch: 5 [14848/47500]	Loss: 0.8228	LR: 0.100000
Training Epoch: 5 [15104/47500]	Loss: 0.7280	LR: 0.100000
Training Epoch: 5 [15360/47500]	Loss: 0.7046	LR: 0.100000
Training Epoch: 5 [15616/47500]	Loss: 0.8118	LR: 0.100000
Training Epoch: 5 [15872/47500]	Loss: 0.6902	LR: 0.100000
Training Epoch: 5 [16128/47500]	Loss: 0.7336	LR: 0.100000
Training Epoch: 5 [16384/47500]	Loss: 0.7720	LR: 0.100000
Training Epoch: 5 [16640/47500]	Loss: 0.8391	LR: 0.100000
Training Epoch: 5 [16896/47500]	Loss: 0.7410	LR: 0.100000
Training Epoch: 5 [17152/47500]	Loss: 0.7363	LR: 0.100000
Training Epoch: 5 [17408/47500]	Loss: 0.8212	LR: 0.100000
Training Epoch: 5 [17664/47500]	Loss: 0.7330	LR: 0.100000
Training Epoch: 5 [17920/47500]	Loss: 0.7693	LR: 0.100000
Training Epoch: 5 [18176/47500]	Loss: 0.7227	LR: 0.100000
Training Epoch: 5 [18432/47500]	Loss: 0.6959	LR: 0.100000
Training Epoch: 5 [18688/47500]	Loss: 0.7381	LR: 0.100000
Training Epoch: 5 [18944/47500]	Loss: 0.7113	LR: 0.100000
Training Epoch: 5 [19200/47500]	Loss: 0.7461	LR: 0.100000
Training Epoch: 5 [19456/47500]	Loss: 0.7111	LR: 0.100000
Training Epoch: 5 [19712/47500]	Loss: 0.6056	LR: 0.100000
Training Epoch: 5 [19968/47500]	Loss: 0.7538	LR: 0.100000
Training Epoch: 5 [20224/47500]	Loss: 0.7306	LR: 0.100000
Training Epoch: 5 [20480/47500]	Loss: 0.7335	LR: 0.100000
Training Epoch: 5 [20736/47500]	Loss: 0.6937	LR: 0.100000
Training Epoch: 5 [20992/47500]	Loss: 0.6927	LR: 0.100000
Training Epoch: 5 [21248/47500]	Loss: 0.8081	LR: 0.100000
Training Epoch: 5 [21504/47500]	Loss: 0.7406	LR: 0.100000
Training Epoch: 5 [21760/47500]	Loss: 0.6192	LR: 0.100000
Training Epoch: 5 [22016/47500]	Loss: 0.7626	LR: 0.100000
Training Epoch: 5 [22272/47500]	Loss: 0.8049	LR: 0.100000
Training Epoch: 5 [22528/47500]	Loss: 0.6649	LR: 0.100000
Training Epoch: 5 [22784/47500]	Loss: 0.7234	LR: 0.100000
Training Epoch: 5 [23040/47500]	Loss: 0.6900	LR: 0.100000
Training Epoch: 5 [23296/47500]	Loss: 0.8104	LR: 0.100000
Training Epoch: 5 [23552/47500]	Loss: 0.6577	LR: 0.100000
Training Epoch: 5 [23808/47500]	Loss: 0.8139	LR: 0.100000
Training Epoch: 5 [24064/47500]	Loss: 0.7884	LR: 0.100000
Training Epoch: 5 [24320/47500]	Loss: 0.6932	LR: 0.100000
Training Epoch: 5 [24576/47500]	Loss: 0.8103	LR: 0.100000
Training Epoch: 5 [24832/47500]	Loss: 0.6996	LR: 0.100000
Training Epoch: 5 [25088/47500]	Loss: 0.6671	LR: 0.100000
Training Epoch: 5 [25344/47500]	Loss: 0.6548	LR: 0.100000
Training Epoch: 5 [25600/47500]	Loss: 0.7488	LR: 0.100000
Training Epoch: 5 [25856/47500]	Loss: 0.6924	LR: 0.100000
Training Epoch: 5 [26112/47500]	Loss: 0.7689	LR: 0.100000
Training Epoch: 5 [26368/47500]	Loss: 0.7072	LR: 0.100000
Training Epoch: 5 [26624/47500]	Loss: 0.7923	LR: 0.100000
Training Epoch: 5 [26880/47500]	Loss: 0.7662	LR: 0.100000
Training Epoch: 5 [27136/47500]	Loss: 0.7285	LR: 0.100000
Training Epoch: 5 [27392/47500]	Loss: 0.6779	LR: 0.100000
Training Epoch: 5 [27648/47500]	Loss: 0.7395	LR: 0.100000
Training Epoch: 5 [27904/47500]	Loss: 0.7307	LR: 0.100000
Training Epoch: 5 [28160/47500]	Loss: 0.7002	LR: 0.100000
Training Epoch: 5 [28416/47500]	Loss: 0.7650	LR: 0.100000
Training Epoch: 5 [28672/47500]	Loss: 0.7822	LR: 0.100000
Training Epoch: 5 [28928/47500]	Loss: 0.7457	LR: 0.100000
Training Epoch: 5 [29184/47500]	Loss: 0.8093	LR: 0.100000
Training Epoch: 5 [29440/47500]	Loss: 0.7302	LR: 0.100000
Training Epoch: 5 [29696/47500]	Loss: 0.6392	LR: 0.100000
Training Epoch: 5 [29952/47500]	Loss: 0.8322	LR: 0.100000
Training Epoch: 5 [30208/47500]	Loss: 0.7421	LR: 0.100000
Training Epoch: 5 [30464/47500]	Loss: 0.7117	LR: 0.100000
Training Epoch: 5 [30720/47500]	Loss: 0.7689	LR: 0.100000
Training Epoch: 5 [30976/47500]	Loss: 0.8425	LR: 0.100000
Training Epoch: 5 [31232/47500]	Loss: 0.7401	LR: 0.100000
Training Epoch: 5 [31488/47500]	Loss: 0.7046	LR: 0.100000
Training Epoch: 5 [31744/47500]	Loss: 0.7236	LR: 0.100000
Training Epoch: 5 [32000/47500]	Loss: 0.6632	LR: 0.100000
Training Epoch: 5 [32256/47500]	Loss: 0.6954	LR: 0.100000
Training Epoch: 5 [32512/47500]	Loss: 0.6833	LR: 0.100000
Training Epoch: 5 [32768/47500]	Loss: 0.7795	LR: 0.100000
Training Epoch: 5 [33024/47500]	Loss: 0.7057	LR: 0.100000
Training Epoch: 5 [33280/47500]	Loss: 0.6926	LR: 0.100000
Training Epoch: 5 [33536/47500]	Loss: 0.6753	LR: 0.100000
Training Epoch: 5 [33792/47500]	Loss: 0.7864	LR: 0.100000
Training Epoch: 5 [34048/47500]	Loss: 0.7636	LR: 0.100000
Training Epoch: 5 [34304/47500]	Loss: 0.7079	LR: 0.100000
Training Epoch: 5 [34560/47500]	Loss: 0.7775	LR: 0.100000
Training Epoch: 5 [34816/47500]	Loss: 0.7341	LR: 0.100000
Training Epoch: 5 [35072/47500]	Loss: 0.8066	LR: 0.100000
Training Epoch: 5 [35328/47500]	Loss: 0.6904	LR: 0.100000
Training Epoch: 5 [35584/47500]	Loss: 0.6780	LR: 0.100000
Training Epoch: 5 [35840/47500]	Loss: 0.7118	LR: 0.100000
Training Epoch: 5 [36096/47500]	Loss: 0.8190	LR: 0.100000
Training Epoch: 5 [36352/47500]	Loss: 0.7765	LR: 0.100000
Training Epoch: 5 [36608/47500]	Loss: 0.8138	LR: 0.100000
Training Epoch: 5 [36864/47500]	Loss: 0.7176	LR: 0.100000
Training Epoch: 5 [37120/47500]	Loss: 0.7294	LR: 0.100000
Training Epoch: 5 [37376/47500]	Loss: 0.7133	LR: 0.100000
Training Epoch: 5 [37632/47500]	Loss: 0.7137	LR: 0.100000
Training Epoch: 5 [37888/47500]	Loss: 0.6669	LR: 0.100000
Training Epoch: 5 [38144/47500]	Loss: 0.6682	LR: 0.100000
Training Epoch: 5 [38400/47500]	Loss: 0.8043	LR: 0.100000
Training Epoch: 5 [38656/47500]	Loss: 0.7362	LR: 0.100000
Training Epoch: 5 [38912/47500]	Loss: 0.7017	LR: 0.100000
Training Epoch: 5 [39168/47500]	Loss: 0.7336	LR: 0.100000
Training Epoch: 5 [39424/47500]	Loss: 0.6855	LR: 0.100000
Training Epoch: 5 [39680/47500]	Loss: 0.7638	LR: 0.100000
Training Epoch: 5 [39936/47500]	Loss: 0.7412	LR: 0.100000
Training Epoch: 5 [40192/47500]	Loss: 0.7144	LR: 0.100000
Training Epoch: 5 [40448/47500]	Loss: 0.7631	LR: 0.100000
Training Epoch: 5 [40704/47500]	Loss: 0.6101	LR: 0.100000
Training Epoch: 5 [40960/47500]	Loss: 0.7510	LR: 0.100000
Training Epoch: 5 [41216/47500]	Loss: 0.7632	LR: 0.100000
Training Epoch: 5 [41472/47500]	Loss: 0.7871	LR: 0.100000
Training Epoch: 5 [41728/47500]	Loss: 0.7156	LR: 0.100000
Training Epoch: 5 [41984/47500]	Loss: 0.7922	LR: 0.100000
Training Epoch: 5 [42240/47500]	Loss: 0.7437	LR: 0.100000
Training Epoch: 5 [42496/47500]	Loss: 0.8481	LR: 0.100000
Training Epoch: 5 [42752/47500]	Loss: 0.8306	LR: 0.100000
Training Epoch: 5 [43008/47500]	Loss: 0.6884	LR: 0.100000
Training Epoch: 5 [43264/47500]	Loss: 0.7292	LR: 0.100000
Training Epoch: 5 [43520/47500]	Loss: 0.6254	LR: 0.100000
Training Epoch: 5 [43776/47500]	Loss: 0.6993	LR: 0.100000
Training Epoch: 5 [44032/47500]	Loss: 0.8336	LR: 0.100000
Training Epoch: 5 [44288/47500]	Loss: 0.6314	LR: 0.100000
Training Epoch: 5 [44544/47500]	Loss: 0.7067	LR: 0.100000
Training Epoch: 5 [44800/47500]	Loss: 0.7767	LR: 0.100000
Training Epoch: 5 [45056/47500]	Loss: 0.6738	LR: 0.100000
Training Epoch: 5 [45312/47500]	Loss: 0.7525	LR: 0.100000
Training Epoch: 5 [45568/47500]	Loss: 0.8039	LR: 0.100000
Training Epoch: 5 [45824/47500]	Loss: 0.7505	LR: 0.100000
Training Epoch: 5 [46080/47500]	Loss: 0.6833	LR: 0.100000
Training Epoch: 5 [46336/47500]	Loss: 0.7004	LR: 0.100000
Training Epoch: 5 [46592/47500]	Loss: 0.6687	LR: 0.100000
Training Epoch: 5 [46848/47500]	Loss: 0.7354	LR: 0.100000
Training Epoch: 5 [47104/47500]	Loss: 0.7279	LR: 0.100000
Training Epoch: 5 [47360/47500]	Loss: 0.7823	LR: 0.100000
Training Epoch: 5 [47500/47500]	Loss: 0.8206	LR: 0.100000
Epoch 5 - Average Train Loss: 0.7481, Train Accuracy: 0.7376
Epoch 5 training time consumed: 26.86s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0038, Accuracy: 0.6806, Time consumed:1.02s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_02h_13m_37s/AllCNN-Cifar10-seed9-ret50-5-best.pth
Training Epoch: 6 [256/47500]	Loss: 0.6434	LR: 0.100000
Training Epoch: 6 [512/47500]	Loss: 0.6822	LR: 0.100000
Training Epoch: 6 [768/47500]	Loss: 0.7490	LR: 0.100000
Training Epoch: 6 [1024/47500]	Loss: 0.7474	LR: 0.100000
Training Epoch: 6 [1280/47500]	Loss: 0.7118	LR: 0.100000
Training Epoch: 6 [1536/47500]	Loss: 0.7450	LR: 0.100000
Training Epoch: 6 [1792/47500]	Loss: 0.7193	LR: 0.100000
Training Epoch: 6 [2048/47500]	Loss: 0.6275	LR: 0.100000
Training Epoch: 6 [2304/47500]	Loss: 0.7630	LR: 0.100000
Training Epoch: 6 [2560/47500]	Loss: 0.7176	LR: 0.100000
Training Epoch: 6 [2816/47500]	Loss: 0.7126	LR: 0.100000
Training Epoch: 6 [3072/47500]	Loss: 0.7182	LR: 0.100000
Training Epoch: 6 [3328/47500]	Loss: 0.6299	LR: 0.100000
Training Epoch: 6 [3584/47500]	Loss: 0.6240	LR: 0.100000
Training Epoch: 6 [3840/47500]	Loss: 0.6953	LR: 0.100000
Training Epoch: 6 [4096/47500]	Loss: 0.8067	LR: 0.100000
Training Epoch: 6 [4352/47500]	Loss: 0.7926	LR: 0.100000
Training Epoch: 6 [4608/47500]	Loss: 0.7098	LR: 0.100000
Training Epoch: 6 [4864/47500]	Loss: 0.6331	LR: 0.100000
Training Epoch: 6 [5120/47500]	Loss: 0.6956	LR: 0.100000
Training Epoch: 6 [5376/47500]	Loss: 0.7396	LR: 0.100000
Training Epoch: 6 [5632/47500]	Loss: 0.7114	LR: 0.100000
Training Epoch: 6 [5888/47500]	Loss: 0.8164	LR: 0.100000
Training Epoch: 6 [6144/47500]	Loss: 0.8160	LR: 0.100000
Training Epoch: 6 [6400/47500]	Loss: 0.6381	LR: 0.100000
Training Epoch: 6 [6656/47500]	Loss: 0.7385	LR: 0.100000
Training Epoch: 6 [6912/47500]	Loss: 0.6663	LR: 0.100000
Training Epoch: 6 [7168/47500]	Loss: 0.7970	LR: 0.100000
Training Epoch: 6 [7424/47500]	Loss: 0.7830	LR: 0.100000
Training Epoch: 6 [7680/47500]	Loss: 0.7503	LR: 0.100000
Training Epoch: 6 [7936/47500]	Loss: 0.7167	LR: 0.100000
Training Epoch: 6 [8192/47500]	Loss: 0.6285	LR: 0.100000
Training Epoch: 6 [8448/47500]	Loss: 0.6725	LR: 0.100000
Training Epoch: 6 [8704/47500]	Loss: 0.7396	LR: 0.100000
Training Epoch: 6 [8960/47500]	Loss: 0.6439	LR: 0.100000
Training Epoch: 6 [9216/47500]	Loss: 0.5699	LR: 0.100000
Training Epoch: 6 [9472/47500]	Loss: 0.7095	LR: 0.100000
Training Epoch: 6 [9728/47500]	Loss: 0.7284	LR: 0.100000
Training Epoch: 6 [9984/47500]	Loss: 0.6743	LR: 0.100000
Training Epoch: 6 [10240/47500]	Loss: 0.7243	LR: 0.100000
Training Epoch: 6 [10496/47500]	Loss: 0.6407	LR: 0.100000
Training Epoch: 6 [10752/47500]	Loss: 0.6801	LR: 0.100000
Training Epoch: 6 [11008/47500]	Loss: 0.6098	LR: 0.100000
Training Epoch: 6 [11264/47500]	Loss: 0.7068	LR: 0.100000
Training Epoch: 6 [11520/47500]	Loss: 0.6522	LR: 0.100000
Training Epoch: 6 [11776/47500]	Loss: 0.6818	LR: 0.100000
Training Epoch: 6 [12032/47500]	Loss: 0.7598	LR: 0.100000
Training Epoch: 6 [12288/47500]	Loss: 0.7662	LR: 0.100000
Training Epoch: 6 [12544/47500]	Loss: 0.6526	LR: 0.100000
Training Epoch: 6 [12800/47500]	Loss: 0.7945	LR: 0.100000
Training Epoch: 6 [13056/47500]	Loss: 0.6893	LR: 0.100000
Training Epoch: 6 [13312/47500]	Loss: 0.6861	LR: 0.100000
Training Epoch: 6 [13568/47500]	Loss: 0.6039	LR: 0.100000
Training Epoch: 6 [13824/47500]	Loss: 0.5870	LR: 0.100000
Training Epoch: 6 [14080/47500]	Loss: 0.7073	LR: 0.100000
Training Epoch: 6 [14336/47500]	Loss: 0.6027	LR: 0.100000
Training Epoch: 6 [14592/47500]	Loss: 0.7039	LR: 0.100000
Training Epoch: 6 [14848/47500]	Loss: 0.7004	LR: 0.100000
Training Epoch: 6 [15104/47500]	Loss: 0.6216	LR: 0.100000
Training Epoch: 6 [15360/47500]	Loss: 0.7177	LR: 0.100000
Training Epoch: 6 [15616/47500]	Loss: 0.6531	LR: 0.100000
Training Epoch: 6 [15872/47500]	Loss: 0.5628	LR: 0.100000
Training Epoch: 6 [16128/47500]	Loss: 0.6670	LR: 0.100000
Training Epoch: 6 [16384/47500]	Loss: 0.7123	LR: 0.100000
Training Epoch: 6 [16640/47500]	Loss: 0.6235	LR: 0.100000
Training Epoch: 6 [16896/47500]	Loss: 0.6941	LR: 0.100000
Training Epoch: 6 [17152/47500]	Loss: 0.7513	LR: 0.100000
Training Epoch: 6 [17408/47500]	Loss: 0.6921	LR: 0.100000
Training Epoch: 6 [17664/47500]	Loss: 0.6746	LR: 0.100000
Training Epoch: 6 [17920/47500]	Loss: 0.7695	LR: 0.100000
Training Epoch: 6 [18176/47500]	Loss: 0.6700	LR: 0.100000
Training Epoch: 6 [18432/47500]	Loss: 0.8377	LR: 0.100000
Training Epoch: 6 [18688/47500]	Loss: 0.6350	LR: 0.100000
Training Epoch: 6 [18944/47500]	Loss: 0.7071	LR: 0.100000
Training Epoch: 6 [19200/47500]	Loss: 0.6578	LR: 0.100000
Training Epoch: 6 [19456/47500]	Loss: 0.6438	LR: 0.100000
Training Epoch: 6 [19712/47500]	Loss: 0.6519	LR: 0.100000
Training Epoch: 6 [19968/47500]	Loss: 0.5947	LR: 0.100000
Training Epoch: 6 [20224/47500]	Loss: 0.6750	LR: 0.100000
Training Epoch: 6 [20480/47500]	Loss: 0.6231	LR: 0.100000
Training Epoch: 6 [20736/47500]	Loss: 0.7702	LR: 0.100000
Training Epoch: 6 [20992/47500]	Loss: 0.7357	LR: 0.100000
Training Epoch: 6 [21248/47500]	Loss: 0.7468	LR: 0.100000
Training Epoch: 6 [21504/47500]	Loss: 0.7613	LR: 0.100000
Training Epoch: 6 [21760/47500]	Loss: 0.6284	LR: 0.100000
Training Epoch: 6 [22016/47500]	Loss: 0.7073	LR: 0.100000
Training Epoch: 6 [22272/47500]	Loss: 0.7040	LR: 0.100000
Training Epoch: 6 [22528/47500]	Loss: 0.6545	LR: 0.100000
Training Epoch: 6 [22784/47500]	Loss: 0.7603	LR: 0.100000
Training Epoch: 6 [23040/47500]	Loss: 0.5810	LR: 0.100000
Training Epoch: 6 [23296/47500]	Loss: 0.6982	LR: 0.100000
Training Epoch: 6 [23552/47500]	Loss: 0.6180	LR: 0.100000
Training Epoch: 6 [23808/47500]	Loss: 0.6001	LR: 0.100000
Training Epoch: 6 [24064/47500]	Loss: 0.6497	LR: 0.100000
Training Epoch: 6 [24320/47500]	Loss: 0.6479	LR: 0.100000
Training Epoch: 6 [24576/47500]	Loss: 0.6775	LR: 0.100000
Training Epoch: 6 [24832/47500]	Loss: 0.7098	LR: 0.100000
Training Epoch: 6 [25088/47500]	Loss: 0.6393	LR: 0.100000
Training Epoch: 6 [25344/47500]	Loss: 0.6501	LR: 0.100000
Training Epoch: 6 [25600/47500]	Loss: 0.6969	LR: 0.100000
Training Epoch: 6 [25856/47500]	Loss: 0.6136	LR: 0.100000
Training Epoch: 6 [26112/47500]	Loss: 0.6496	LR: 0.100000
Training Epoch: 6 [26368/47500]	Loss: 0.5784	LR: 0.100000
Training Epoch: 6 [26624/47500]	Loss: 0.7240	LR: 0.100000
Training Epoch: 6 [26880/47500]	Loss: 0.6750	LR: 0.100000
Training Epoch: 6 [27136/47500]	Loss: 0.7659	LR: 0.100000
Training Epoch: 6 [27392/47500]	Loss: 0.7725	LR: 0.100000
Training Epoch: 6 [27648/47500]	Loss: 0.6498	LR: 0.100000
Training Epoch: 6 [27904/47500]	Loss: 0.6540	LR: 0.100000
Training Epoch: 6 [28160/47500]	Loss: 0.5819	LR: 0.100000
Training Epoch: 6 [28416/47500]	Loss: 0.6704	LR: 0.100000
Training Epoch: 6 [28672/47500]	Loss: 0.6609	LR: 0.100000
Training Epoch: 6 [28928/47500]	Loss: 0.7232	LR: 0.100000
Training Epoch: 6 [29184/47500]	Loss: 0.6395	LR: 0.100000
Training Epoch: 6 [29440/47500]	Loss: 0.7062	LR: 0.100000
Training Epoch: 6 [29696/47500]	Loss: 0.7526	LR: 0.100000
Training Epoch: 6 [29952/47500]	Loss: 0.5911	LR: 0.100000
Training Epoch: 6 [30208/47500]	Loss: 0.6584	LR: 0.100000
Training Epoch: 6 [30464/47500]	Loss: 0.6850	LR: 0.100000
Training Epoch: 6 [30720/47500]	Loss: 0.6626	LR: 0.100000
Training Epoch: 6 [30976/47500]	Loss: 0.6737	LR: 0.100000
Training Epoch: 6 [31232/47500]	Loss: 0.7177	LR: 0.100000
Training Epoch: 6 [31488/47500]	Loss: 0.5847	LR: 0.100000
Training Epoch: 6 [31744/47500]	Loss: 0.6511	LR: 0.100000
Training Epoch: 6 [32000/47500]	Loss: 0.7331	LR: 0.100000
Training Epoch: 6 [32256/47500]	Loss: 0.6964	LR: 0.100000
Training Epoch: 6 [32512/47500]	Loss: 0.5838	LR: 0.100000
Training Epoch: 6 [32768/47500]	Loss: 0.6406	LR: 0.100000
Training Epoch: 6 [33024/47500]	Loss: 0.6942	LR: 0.100000
Training Epoch: 6 [33280/47500]	Loss: 0.7529	LR: 0.100000
Training Epoch: 6 [33536/47500]	Loss: 0.6105	LR: 0.100000
Training Epoch: 6 [33792/47500]	Loss: 0.7211	LR: 0.100000
Training Epoch: 6 [34048/47500]	Loss: 0.6421	LR: 0.100000
Training Epoch: 6 [34304/47500]	Loss: 0.5956	LR: 0.100000
Training Epoch: 6 [34560/47500]	Loss: 0.6526	LR: 0.100000
Training Epoch: 6 [34816/47500]	Loss: 0.7592	LR: 0.100000
Training Epoch: 6 [35072/47500]	Loss: 0.8011	LR: 0.100000
Training Epoch: 6 [35328/47500]	Loss: 0.7361	LR: 0.100000
Training Epoch: 6 [35584/47500]	Loss: 0.6741	LR: 0.100000
Training Epoch: 6 [35840/47500]	Loss: 0.5933	LR: 0.100000
Training Epoch: 6 [36096/47500]	Loss: 0.6939	LR: 0.100000
Training Epoch: 6 [36352/47500]	Loss: 0.6550	LR: 0.100000
Training Epoch: 6 [36608/47500]	Loss: 0.7145	LR: 0.100000
Training Epoch: 6 [36864/47500]	Loss: 0.6132	LR: 0.100000
Training Epoch: 6 [37120/47500]	Loss: 0.6690	LR: 0.100000
Training Epoch: 6 [37376/47500]	Loss: 0.7000	LR: 0.100000
Training Epoch: 6 [37632/47500]	Loss: 0.6689	LR: 0.100000
Training Epoch: 6 [37888/47500]	Loss: 0.7370	LR: 0.100000
Training Epoch: 6 [38144/47500]	Loss: 0.7946	LR: 0.100000
Training Epoch: 6 [38400/47500]	Loss: 0.6744	LR: 0.100000
Training Epoch: 6 [38656/47500]	Loss: 0.6534	LR: 0.100000
Training Epoch: 6 [38912/47500]	Loss: 0.6957	LR: 0.100000
Training Epoch: 6 [39168/47500]	Loss: 0.7222	LR: 0.100000
Training Epoch: 6 [39424/47500]	Loss: 0.5497	LR: 0.100000
Training Epoch: 6 [39680/47500]	Loss: 0.7021	LR: 0.100000
Training Epoch: 6 [39936/47500]	Loss: 0.7210	LR: 0.100000
Training Epoch: 6 [40192/47500]	Loss: 0.5636	LR: 0.100000
Training Epoch: 6 [40448/47500]	Loss: 0.6512	LR: 0.100000
Training Epoch: 6 [40704/47500]	Loss: 0.5811	LR: 0.100000
Training Epoch: 6 [40960/47500]	Loss: 0.6843	LR: 0.100000
Training Epoch: 6 [41216/47500]	Loss: 0.6450	LR: 0.100000
Training Epoch: 6 [41472/47500]	Loss: 0.6323	LR: 0.100000
Training Epoch: 6 [41728/47500]	Loss: 0.6360	LR: 0.100000
Training Epoch: 6 [41984/47500]	Loss: 0.7613	LR: 0.100000
Training Epoch: 6 [42240/47500]	Loss: 0.6570	LR: 0.100000
Training Epoch: 6 [42496/47500]	Loss: 0.6621	LR: 0.100000
Training Epoch: 6 [42752/47500]	Loss: 0.5496	LR: 0.100000
Training Epoch: 6 [43008/47500]	Loss: 0.5854	LR: 0.100000
Training Epoch: 6 [43264/47500]	Loss: 0.6346	LR: 0.100000
Training Epoch: 6 [43520/47500]	Loss: 0.7074	LR: 0.100000
Training Epoch: 6 [43776/47500]	Loss: 0.6104	LR: 0.100000
Training Epoch: 6 [44032/47500]	Loss: 0.6718	LR: 0.100000
Training Epoch: 6 [44288/47500]	Loss: 0.6637	LR: 0.100000
Training Epoch: 6 [44544/47500]	Loss: 0.6272	LR: 0.100000
Training Epoch: 6 [44800/47500]	Loss: 0.5848	LR: 0.100000
Training Epoch: 6 [45056/47500]	Loss: 0.7200	LR: 0.100000
Training Epoch: 6 [45312/47500]	Loss: 0.5788	LR: 0.100000
Training Epoch: 6 [45568/47500]	Loss: 0.7062	LR: 0.100000
Training Epoch: 6 [45824/47500]	Loss: 0.6823	LR: 0.100000
Training Epoch: 6 [46080/47500]	Loss: 0.5557	LR: 0.100000
Training Epoch: 6 [46336/47500]	Loss: 0.6040	LR: 0.100000
Training Epoch: 6 [46592/47500]	Loss: 0.4812	LR: 0.100000
Training Epoch: 6 [46848/47500]	Loss: 0.6188	LR: 0.100000
Training Epoch: 6 [47104/47500]	Loss: 0.5745	LR: 0.100000
Training Epoch: 6 [47360/47500]	Loss: 0.5551	LR: 0.100000
Training Epoch: 6 [47500/47500]	Loss: 0.6190	LR: 0.100000
Epoch 6 - Average Train Loss: 0.6764, Train Accuracy: 0.7652
Epoch 6 training time consumed: 26.95s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0029, Accuracy: 0.7507, Time consumed:0.93s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_02h_13m_37s/AllCNN-Cifar10-seed9-ret50-6-best.pth
Training Epoch: 7 [256/47500]	Loss: 0.6635	LR: 0.100000
Training Epoch: 7 [512/47500]	Loss: 0.6875	LR: 0.100000
Training Epoch: 7 [768/47500]	Loss: 0.5694	LR: 0.100000
Training Epoch: 7 [1024/47500]	Loss: 0.6460	LR: 0.100000
Training Epoch: 7 [1280/47500]	Loss: 0.6478	LR: 0.100000
Training Epoch: 7 [1536/47500]	Loss: 0.6289	LR: 0.100000
Training Epoch: 7 [1792/47500]	Loss: 0.5796	LR: 0.100000
Training Epoch: 7 [2048/47500]	Loss: 0.7180	LR: 0.100000
Training Epoch: 7 [2304/47500]	Loss: 0.6093	LR: 0.100000
Training Epoch: 7 [2560/47500]	Loss: 0.6345	LR: 0.100000
Training Epoch: 7 [2816/47500]	Loss: 0.6249	LR: 0.100000
Training Epoch: 7 [3072/47500]	Loss: 0.6680	LR: 0.100000
Training Epoch: 7 [3328/47500]	Loss: 0.5632	LR: 0.100000
Training Epoch: 7 [3584/47500]	Loss: 0.5983	LR: 0.100000
Training Epoch: 7 [3840/47500]	Loss: 0.6695	LR: 0.100000
Training Epoch: 7 [4096/47500]	Loss: 0.6335	LR: 0.100000
Training Epoch: 7 [4352/47500]	Loss: 0.6542	LR: 0.100000
Training Epoch: 7 [4608/47500]	Loss: 0.5173	LR: 0.100000
Training Epoch: 7 [4864/47500]	Loss: 0.5698	LR: 0.100000
Training Epoch: 7 [5120/47500]	Loss: 0.6258	LR: 0.100000
Training Epoch: 7 [5376/47500]	Loss: 0.6810	LR: 0.100000
Training Epoch: 7 [5632/47500]	Loss: 0.5815	LR: 0.100000
Training Epoch: 7 [5888/47500]	Loss: 0.6348	LR: 0.100000
Training Epoch: 7 [6144/47500]	Loss: 0.7041	LR: 0.100000
Training Epoch: 7 [6400/47500]	Loss: 0.5900	LR: 0.100000
Training Epoch: 7 [6656/47500]	Loss: 0.5642	LR: 0.100000
Training Epoch: 7 [6912/47500]	Loss: 0.7253	LR: 0.100000
Training Epoch: 7 [7168/47500]	Loss: 0.6181	LR: 0.100000
Training Epoch: 7 [7424/47500]	Loss: 0.7495	LR: 0.100000
Training Epoch: 7 [7680/47500]	Loss: 0.5916	LR: 0.100000
Training Epoch: 7 [7936/47500]	Loss: 0.6351	LR: 0.100000
Training Epoch: 7 [8192/47500]	Loss: 0.5595	LR: 0.100000
Training Epoch: 7 [8448/47500]	Loss: 0.5574	LR: 0.100000
Training Epoch: 7 [8704/47500]	Loss: 0.6482	LR: 0.100000
Training Epoch: 7 [8960/47500]	Loss: 0.6151	LR: 0.100000
Training Epoch: 7 [9216/47500]	Loss: 0.7382	LR: 0.100000
Training Epoch: 7 [9472/47500]	Loss: 0.7199	LR: 0.100000
Training Epoch: 7 [9728/47500]	Loss: 0.6537	LR: 0.100000
Training Epoch: 7 [9984/47500]	Loss: 0.6439	LR: 0.100000
Training Epoch: 7 [10240/47500]	Loss: 0.5870	LR: 0.100000
Training Epoch: 7 [10496/47500]	Loss: 0.6185	LR: 0.100000
Training Epoch: 7 [10752/47500]	Loss: 0.6037	LR: 0.100000
Training Epoch: 7 [11008/47500]	Loss: 0.7661	LR: 0.100000
Training Epoch: 7 [11264/47500]	Loss: 0.6351	LR: 0.100000
Training Epoch: 7 [11520/47500]	Loss: 0.6179	LR: 0.100000
Training Epoch: 7 [11776/47500]	Loss: 0.7073	LR: 0.100000
Training Epoch: 7 [12032/47500]	Loss: 0.5784	LR: 0.100000
Training Epoch: 7 [12288/47500]	Loss: 0.6112	LR: 0.100000
Training Epoch: 7 [12544/47500]	Loss: 0.4843	LR: 0.100000
Training Epoch: 7 [12800/47500]	Loss: 0.6680	LR: 0.100000
Training Epoch: 7 [13056/47500]	Loss: 0.5570	LR: 0.100000
Training Epoch: 7 [13312/47500]	Loss: 0.6508	LR: 0.100000
Training Epoch: 7 [13568/47500]	Loss: 0.5971	LR: 0.100000
Training Epoch: 7 [13824/47500]	Loss: 0.6266	LR: 0.100000
Training Epoch: 7 [14080/47500]	Loss: 0.6064	LR: 0.100000
Training Epoch: 7 [14336/47500]	Loss: 0.6983	LR: 0.100000
Training Epoch: 7 [14592/47500]	Loss: 0.5821	LR: 0.100000
Training Epoch: 7 [14848/47500]	Loss: 0.6129	LR: 0.100000
Training Epoch: 7 [15104/47500]	Loss: 0.6993	LR: 0.100000
Training Epoch: 7 [15360/47500]	Loss: 0.5894	LR: 0.100000
Training Epoch: 7 [15616/47500]	Loss: 0.5845	LR: 0.100000
Training Epoch: 7 [15872/47500]	Loss: 0.6959	LR: 0.100000
Training Epoch: 7 [16128/47500]	Loss: 0.7430	LR: 0.100000
Training Epoch: 7 [16384/47500]	Loss: 0.7101	LR: 0.100000
Training Epoch: 7 [16640/47500]	Loss: 0.7033	LR: 0.100000
Training Epoch: 7 [16896/47500]	Loss: 0.5894	LR: 0.100000
Training Epoch: 7 [17152/47500]	Loss: 0.6229	LR: 0.100000
Training Epoch: 7 [17408/47500]	Loss: 0.6412	LR: 0.100000
Training Epoch: 7 [17664/47500]	Loss: 0.6580	LR: 0.100000
Training Epoch: 7 [17920/47500]	Loss: 0.6673	LR: 0.100000
Training Epoch: 7 [18176/47500]	Loss: 0.6940	LR: 0.100000
Training Epoch: 7 [18432/47500]	Loss: 0.5782	LR: 0.100000
Training Epoch: 7 [18688/47500]	Loss: 0.6382	LR: 0.100000
Training Epoch: 7 [18944/47500]	Loss: 0.6319	LR: 0.100000
Training Epoch: 7 [19200/47500]	Loss: 0.5927	LR: 0.100000
Training Epoch: 7 [19456/47500]	Loss: 0.5899	LR: 0.100000
Training Epoch: 7 [19712/47500]	Loss: 0.6130	LR: 0.100000
Training Epoch: 7 [19968/47500]	Loss: 0.7022	LR: 0.100000
Training Epoch: 7 [20224/47500]	Loss: 0.6143	LR: 0.100000
Training Epoch: 7 [20480/47500]	Loss: 0.5620	LR: 0.100000
Training Epoch: 7 [20736/47500]	Loss: 0.6254	LR: 0.100000
Training Epoch: 7 [20992/47500]	Loss: 0.6518	LR: 0.100000
Training Epoch: 7 [21248/47500]	Loss: 0.5770	LR: 0.100000
Training Epoch: 7 [21504/47500]	Loss: 0.6493	LR: 0.100000
Training Epoch: 7 [21760/47500]	Loss: 0.6118	LR: 0.100000
Training Epoch: 7 [22016/47500]	Loss: 0.6069	LR: 0.100000
Training Epoch: 7 [22272/47500]	Loss: 0.6034	LR: 0.100000
Training Epoch: 7 [22528/47500]	Loss: 0.6987	LR: 0.100000
Training Epoch: 7 [22784/47500]	Loss: 0.8403	LR: 0.100000
Training Epoch: 7 [23040/47500]	Loss: 0.6448	LR: 0.100000
Training Epoch: 7 [23296/47500]	Loss: 0.6526	LR: 0.100000
Training Epoch: 7 [23552/47500]	Loss: 0.6735	LR: 0.100000
Training Epoch: 7 [23808/47500]	Loss: 0.5377	LR: 0.100000
Training Epoch: 7 [24064/47500]	Loss: 0.6399	LR: 0.100000
Training Epoch: 7 [24320/47500]	Loss: 0.6449	LR: 0.100000
Training Epoch: 7 [24576/47500]	Loss: 0.5361	LR: 0.100000
Training Epoch: 7 [24832/47500]	Loss: 0.5546	LR: 0.100000
Training Epoch: 7 [25088/47500]	Loss: 0.6416	LR: 0.100000
Training Epoch: 7 [25344/47500]	Loss: 0.6019	LR: 0.100000
Training Epoch: 7 [25600/47500]	Loss: 0.6358	LR: 0.100000
Training Epoch: 7 [25856/47500]	Loss: 0.6542	LR: 0.100000
Training Epoch: 7 [26112/47500]	Loss: 0.5970	LR: 0.100000
Training Epoch: 7 [26368/47500]	Loss: 0.6088	LR: 0.100000
Training Epoch: 7 [26624/47500]	Loss: 0.6062	LR: 0.100000
Training Epoch: 7 [26880/47500]	Loss: 0.5813	LR: 0.100000
Training Epoch: 7 [27136/47500]	Loss: 0.5581	LR: 0.100000
Training Epoch: 7 [27392/47500]	Loss: 0.7772	LR: 0.100000
Training Epoch: 7 [27648/47500]	Loss: 0.4931	LR: 0.100000
Training Epoch: 7 [27904/47500]	Loss: 0.6534	LR: 0.100000
Training Epoch: 7 [28160/47500]	Loss: 0.6156	LR: 0.100000
Training Epoch: 7 [28416/47500]	Loss: 0.6060	LR: 0.100000
Training Epoch: 7 [28672/47500]	Loss: 0.5710	LR: 0.100000
Training Epoch: 7 [28928/47500]	Loss: 0.5477	LR: 0.100000
Training Epoch: 7 [29184/47500]	Loss: 0.7135	LR: 0.100000
Training Epoch: 7 [29440/47500]	Loss: 0.6636	LR: 0.100000
Training Epoch: 7 [29696/47500]	Loss: 0.6648	LR: 0.100000
Training Epoch: 7 [29952/47500]	Loss: 0.6510	LR: 0.100000
Training Epoch: 7 [30208/47500]	Loss: 0.5984	LR: 0.100000
Training Epoch: 7 [30464/47500]	Loss: 0.7059	LR: 0.100000
Training Epoch: 7 [30720/47500]	Loss: 0.6103	LR: 0.100000
Training Epoch: 7 [30976/47500]	Loss: 0.6449	LR: 0.100000
Training Epoch: 7 [31232/47500]	Loss: 0.6130	LR: 0.100000
Training Epoch: 7 [31488/47500]	Loss: 0.7061	LR: 0.100000
Training Epoch: 7 [31744/47500]	Loss: 0.6865	LR: 0.100000
Training Epoch: 7 [32000/47500]	Loss: 0.5889	LR: 0.100000
Training Epoch: 7 [32256/47500]	Loss: 0.6499	LR: 0.100000
Training Epoch: 7 [32512/47500]	Loss: 0.6302	LR: 0.100000
Training Epoch: 7 [32768/47500]	Loss: 0.4992	LR: 0.100000
Training Epoch: 7 [33024/47500]	Loss: 0.5363	LR: 0.100000
Training Epoch: 7 [33280/47500]	Loss: 0.6325	LR: 0.100000
Training Epoch: 7 [33536/47500]	Loss: 0.6909	LR: 0.100000
Training Epoch: 7 [33792/47500]	Loss: 0.6339	LR: 0.100000
Training Epoch: 7 [34048/47500]	Loss: 0.7597	LR: 0.100000
Training Epoch: 7 [34304/47500]	Loss: 0.5919	LR: 0.100000
Training Epoch: 7 [34560/47500]	Loss: 0.6837	LR: 0.100000
Training Epoch: 7 [34816/47500]	Loss: 0.6506	LR: 0.100000
Training Epoch: 7 [35072/47500]	Loss: 0.6847	LR: 0.100000
Training Epoch: 7 [35328/47500]	Loss: 0.7196	LR: 0.100000
Training Epoch: 7 [35584/47500]	Loss: 0.5739	LR: 0.100000
Training Epoch: 7 [35840/47500]	Loss: 0.6246	LR: 0.100000
Training Epoch: 7 [36096/47500]	Loss: 0.4768	LR: 0.100000
Training Epoch: 7 [36352/47500]	Loss: 0.6585	LR: 0.100000
Training Epoch: 7 [36608/47500]	Loss: 0.6987	LR: 0.100000
Training Epoch: 7 [36864/47500]	Loss: 0.5955	LR: 0.100000
Training Epoch: 7 [37120/47500]	Loss: 0.6645	LR: 0.100000
Training Epoch: 7 [37376/47500]	Loss: 0.6254	LR: 0.100000
Training Epoch: 7 [37632/47500]	Loss: 0.5084	LR: 0.100000
Training Epoch: 7 [37888/47500]	Loss: 0.6704	LR: 0.100000
Training Epoch: 7 [38144/47500]	Loss: 0.6794	LR: 0.100000
Training Epoch: 7 [38400/47500]	Loss: 0.6212	LR: 0.100000
Training Epoch: 7 [38656/47500]	Loss: 0.6447	LR: 0.100000
Training Epoch: 7 [38912/47500]	Loss: 0.5026	LR: 0.100000
Training Epoch: 7 [39168/47500]	Loss: 0.7731	LR: 0.100000
Training Epoch: 7 [39424/47500]	Loss: 0.6349	LR: 0.100000
Training Epoch: 7 [39680/47500]	Loss: 0.6678	LR: 0.100000
Training Epoch: 7 [39936/47500]	Loss: 0.6994	LR: 0.100000
Training Epoch: 7 [40192/47500]	Loss: 0.6562	LR: 0.100000
Training Epoch: 7 [40448/47500]	Loss: 0.5949	LR: 0.100000
Training Epoch: 7 [40704/47500]	Loss: 0.5954	LR: 0.100000
Training Epoch: 7 [40960/47500]	Loss: 0.6089	LR: 0.100000
Training Epoch: 7 [41216/47500]	Loss: 0.6455	LR: 0.100000
Training Epoch: 7 [41472/47500]	Loss: 0.6093	LR: 0.100000
Training Epoch: 7 [41728/47500]	Loss: 0.5496	LR: 0.100000
Training Epoch: 7 [41984/47500]	Loss: 0.5975	LR: 0.100000
Training Epoch: 7 [42240/47500]	Loss: 0.6585	LR: 0.100000
Training Epoch: 7 [42496/47500]	Loss: 0.5667	LR: 0.100000
Training Epoch: 7 [42752/47500]	Loss: 0.7289	LR: 0.100000
Training Epoch: 7 [43008/47500]	Loss: 0.6518	LR: 0.100000
Training Epoch: 7 [43264/47500]	Loss: 0.6109	LR: 0.100000
Training Epoch: 7 [43520/47500]	Loss: 0.7437	LR: 0.100000
Training Epoch: 7 [43776/47500]	Loss: 0.5567	LR: 0.100000
Training Epoch: 7 [44032/47500]	Loss: 0.6066	LR: 0.100000
Training Epoch: 7 [44288/47500]	Loss: 0.6019	LR: 0.100000
Training Epoch: 7 [44544/47500]	Loss: 0.4908	LR: 0.100000
Training Epoch: 7 [44800/47500]	Loss: 0.6635	LR: 0.100000
Training Epoch: 7 [45056/47500]	Loss: 0.6496	LR: 0.100000
Training Epoch: 7 [45312/47500]	Loss: 0.5785	LR: 0.100000
Training Epoch: 7 [45568/47500]	Loss: 0.6042	LR: 0.100000
Training Epoch: 7 [45824/47500]	Loss: 0.6182	LR: 0.100000
Training Epoch: 7 [46080/47500]	Loss: 0.5970	LR: 0.100000
Training Epoch: 7 [46336/47500]	Loss: 0.6032	LR: 0.100000
Training Epoch: 7 [46592/47500]	Loss: 0.6170	LR: 0.100000
Training Epoch: 7 [46848/47500]	Loss: 0.5177	LR: 0.100000
Training Epoch: 7 [47104/47500]	Loss: 0.5562	LR: 0.100000
Training Epoch: 7 [47360/47500]	Loss: 0.5704	LR: 0.100000
Training Epoch: 7 [47500/47500]	Loss: 0.7873	LR: 0.100000
Epoch 7 - Average Train Loss: 0.6293, Train Accuracy: 0.7821
Epoch 7 training time consumed: 26.83s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0027, Accuracy: 0.7670, Time consumed:0.93s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_02h_13m_37s/AllCNN-Cifar10-seed9-ret50-7-best.pth
Training Epoch: 8 [256/47500]	Loss: 0.6235	LR: 0.020000
Training Epoch: 8 [512/47500]	Loss: 0.5550	LR: 0.020000
Training Epoch: 8 [768/47500]	Loss: 0.5612	LR: 0.020000
Training Epoch: 8 [1024/47500]	Loss: 0.6328	LR: 0.020000
Training Epoch: 8 [1280/47500]	Loss: 0.5463	LR: 0.020000
Training Epoch: 8 [1536/47500]	Loss: 0.5608	LR: 0.020000
Training Epoch: 8 [1792/47500]	Loss: 0.5949	LR: 0.020000
Training Epoch: 8 [2048/47500]	Loss: 0.5552	LR: 0.020000
Training Epoch: 8 [2304/47500]	Loss: 0.5739	LR: 0.020000
Training Epoch: 8 [2560/47500]	Loss: 0.5478	LR: 0.020000
Training Epoch: 8 [2816/47500]	Loss: 0.4819	LR: 0.020000
Training Epoch: 8 [3072/47500]	Loss: 0.5313	LR: 0.020000
Training Epoch: 8 [3328/47500]	Loss: 0.5142	LR: 0.020000
Training Epoch: 8 [3584/47500]	Loss: 0.5512	LR: 0.020000
Training Epoch: 8 [3840/47500]	Loss: 0.4885	LR: 0.020000
Training Epoch: 8 [4096/47500]	Loss: 0.4221	LR: 0.020000
Training Epoch: 8 [4352/47500]	Loss: 0.5459	LR: 0.020000
Training Epoch: 8 [4608/47500]	Loss: 0.5059	LR: 0.020000
Training Epoch: 8 [4864/47500]	Loss: 0.5320	LR: 0.020000
Training Epoch: 8 [5120/47500]	Loss: 0.4519	LR: 0.020000
Training Epoch: 8 [5376/47500]	Loss: 0.5344	LR: 0.020000
Training Epoch: 8 [5632/47500]	Loss: 0.5156	LR: 0.020000
Training Epoch: 8 [5888/47500]	Loss: 0.5609	LR: 0.020000
Training Epoch: 8 [6144/47500]	Loss: 0.4787	LR: 0.020000
Training Epoch: 8 [6400/47500]	Loss: 0.4763	LR: 0.020000
Training Epoch: 8 [6656/47500]	Loss: 0.4841	LR: 0.020000
Training Epoch: 8 [6912/47500]	Loss: 0.4658	LR: 0.020000
Training Epoch: 8 [7168/47500]	Loss: 0.5907	LR: 0.020000
Training Epoch: 8 [7424/47500]	Loss: 0.4541	LR: 0.020000
Training Epoch: 8 [7680/47500]	Loss: 0.4252	LR: 0.020000
Training Epoch: 8 [7936/47500]	Loss: 0.5628	LR: 0.020000
Training Epoch: 8 [8192/47500]	Loss: 0.4363	LR: 0.020000
Training Epoch: 8 [8448/47500]	Loss: 0.5576	LR: 0.020000
Training Epoch: 8 [8704/47500]	Loss: 0.5226	LR: 0.020000
Training Epoch: 8 [8960/47500]	Loss: 0.4785	LR: 0.020000
Training Epoch: 8 [9216/47500]	Loss: 0.5016	LR: 0.020000
Training Epoch: 8 [9472/47500]	Loss: 0.4453	LR: 0.020000
Training Epoch: 8 [9728/47500]	Loss: 0.5293	LR: 0.020000
Training Epoch: 8 [9984/47500]	Loss: 0.4824	LR: 0.020000
Training Epoch: 8 [10240/47500]	Loss: 0.4831	LR: 0.020000
Training Epoch: 8 [10496/47500]	Loss: 0.4891	LR: 0.020000
Training Epoch: 8 [10752/47500]	Loss: 0.4493	LR: 0.020000
Training Epoch: 8 [11008/47500]	Loss: 0.5313	LR: 0.020000
Training Epoch: 8 [11264/47500]	Loss: 0.3983	LR: 0.020000
Training Epoch: 8 [11520/47500]	Loss: 0.4113	LR: 0.020000
Training Epoch: 8 [11776/47500]	Loss: 0.5675	LR: 0.020000
Training Epoch: 8 [12032/47500]	Loss: 0.4436	LR: 0.020000
Training Epoch: 8 [12288/47500]	Loss: 0.4855	LR: 0.020000
Training Epoch: 8 [12544/47500]	Loss: 0.5598	LR: 0.020000
Training Epoch: 8 [12800/47500]	Loss: 0.5408	LR: 0.020000
Training Epoch: 8 [13056/47500]	Loss: 0.4355	LR: 0.020000
Training Epoch: 8 [13312/47500]	Loss: 0.4357	LR: 0.020000
Training Epoch: 8 [13568/47500]	Loss: 0.4685	LR: 0.020000
Training Epoch: 8 [13824/47500]	Loss: 0.4610	LR: 0.020000
Training Epoch: 8 [14080/47500]	Loss: 0.5594	LR: 0.020000
Training Epoch: 8 [14336/47500]	Loss: 0.4598	LR: 0.020000
Training Epoch: 8 [14592/47500]	Loss: 0.4812	LR: 0.020000
Training Epoch: 8 [14848/47500]	Loss: 0.3848	LR: 0.020000
Training Epoch: 8 [15104/47500]	Loss: 0.4147	LR: 0.020000
Training Epoch: 8 [15360/47500]	Loss: 0.4522	LR: 0.020000
Training Epoch: 8 [15616/47500]	Loss: 0.4090	LR: 0.020000
Training Epoch: 8 [15872/47500]	Loss: 0.4112	LR: 0.020000
Training Epoch: 8 [16128/47500]	Loss: 0.4654	LR: 0.020000
Training Epoch: 8 [16384/47500]	Loss: 0.5306	LR: 0.020000
Training Epoch: 8 [16640/47500]	Loss: 0.5074	LR: 0.020000
Training Epoch: 8 [16896/47500]	Loss: 0.4622	LR: 0.020000
Training Epoch: 8 [17152/47500]	Loss: 0.5094	LR: 0.020000
Training Epoch: 8 [17408/47500]	Loss: 0.5082	LR: 0.020000
Training Epoch: 8 [17664/47500]	Loss: 0.4060	LR: 0.020000
Training Epoch: 8 [17920/47500]	Loss: 0.3666	LR: 0.020000
Training Epoch: 8 [18176/47500]	Loss: 0.5038	LR: 0.020000
Training Epoch: 8 [18432/47500]	Loss: 0.5823	LR: 0.020000
Training Epoch: 8 [18688/47500]	Loss: 0.5113	LR: 0.020000
Training Epoch: 8 [18944/47500]	Loss: 0.5055	LR: 0.020000
Training Epoch: 8 [19200/47500]	Loss: 0.5269	LR: 0.020000
Training Epoch: 8 [19456/47500]	Loss: 0.4487	LR: 0.020000
Training Epoch: 8 [19712/47500]	Loss: 0.4812	LR: 0.020000
Training Epoch: 8 [19968/47500]	Loss: 0.4799	LR: 0.020000
Training Epoch: 8 [20224/47500]	Loss: 0.4824	LR: 0.020000
Training Epoch: 8 [20480/47500]	Loss: 0.3882	LR: 0.020000
Training Epoch: 8 [20736/47500]	Loss: 0.5225	LR: 0.020000
Training Epoch: 8 [20992/47500]	Loss: 0.5042	LR: 0.020000
Training Epoch: 8 [21248/47500]	Loss: 0.4563	LR: 0.020000
Training Epoch: 8 [21504/47500]	Loss: 0.4657	LR: 0.020000
Training Epoch: 8 [21760/47500]	Loss: 0.4473	LR: 0.020000
Training Epoch: 8 [22016/47500]	Loss: 0.4484	LR: 0.020000
Training Epoch: 8 [22272/47500]	Loss: 0.5174	LR: 0.020000
Training Epoch: 8 [22528/47500]	Loss: 0.4276	LR: 0.020000
Training Epoch: 8 [22784/47500]	Loss: 0.5648	LR: 0.020000
Training Epoch: 8 [23040/47500]	Loss: 0.5059	LR: 0.020000
Training Epoch: 8 [23296/47500]	Loss: 0.4221	LR: 0.020000
Training Epoch: 8 [23552/47500]	Loss: 0.3649	LR: 0.020000
Training Epoch: 8 [23808/47500]	Loss: 0.5782	LR: 0.020000
Training Epoch: 8 [24064/47500]	Loss: 0.4115	LR: 0.020000
Training Epoch: 8 [24320/47500]	Loss: 0.4625	LR: 0.020000
Training Epoch: 8 [24576/47500]	Loss: 0.4886	LR: 0.020000
Training Epoch: 8 [24832/47500]	Loss: 0.4665	LR: 0.020000
Training Epoch: 8 [25088/47500]	Loss: 0.4755	LR: 0.020000
Training Epoch: 8 [25344/47500]	Loss: 0.3895	LR: 0.020000
Training Epoch: 8 [25600/47500]	Loss: 0.4739	LR: 0.020000
Training Epoch: 8 [25856/47500]	Loss: 0.5689	LR: 0.020000
Training Epoch: 8 [26112/47500]	Loss: 0.4249	LR: 0.020000
Training Epoch: 8 [26368/47500]	Loss: 0.4403	LR: 0.020000
Training Epoch: 8 [26624/47500]	Loss: 0.4987	LR: 0.020000
Training Epoch: 8 [26880/47500]	Loss: 0.4659	LR: 0.020000
Training Epoch: 8 [27136/47500]	Loss: 0.5058	LR: 0.020000
Training Epoch: 8 [27392/47500]	Loss: 0.5426	LR: 0.020000
Training Epoch: 8 [27648/47500]	Loss: 0.4358	LR: 0.020000
Training Epoch: 8 [27904/47500]	Loss: 0.4885	LR: 0.020000
Training Epoch: 8 [28160/47500]	Loss: 0.3839	LR: 0.020000
Training Epoch: 8 [28416/47500]	Loss: 0.4935	LR: 0.020000
Training Epoch: 8 [28672/47500]	Loss: 0.4463	LR: 0.020000
Training Epoch: 8 [28928/47500]	Loss: 0.4495	LR: 0.020000
Training Epoch: 8 [29184/47500]	Loss: 0.5152	LR: 0.020000
Training Epoch: 8 [29440/47500]	Loss: 0.4509	LR: 0.020000
Training Epoch: 8 [29696/47500]	Loss: 0.3733	LR: 0.020000
Training Epoch: 8 [29952/47500]	Loss: 0.4971	LR: 0.020000
Training Epoch: 8 [30208/47500]	Loss: 0.5147	LR: 0.020000
Training Epoch: 8 [30464/47500]	Loss: 0.4172	LR: 0.020000
Training Epoch: 8 [30720/47500]	Loss: 0.5398	LR: 0.020000
Training Epoch: 8 [30976/47500]	Loss: 0.4560	LR: 0.020000
Training Epoch: 8 [31232/47500]	Loss: 0.5256	LR: 0.020000
Training Epoch: 8 [31488/47500]	Loss: 0.4476	LR: 0.020000
Training Epoch: 8 [31744/47500]	Loss: 0.3979	LR: 0.020000
Training Epoch: 8 [32000/47500]	Loss: 0.5912	LR: 0.020000
Training Epoch: 8 [32256/47500]	Loss: 0.4895	LR: 0.020000
Training Epoch: 8 [32512/47500]	Loss: 0.4093	LR: 0.020000
Training Epoch: 8 [32768/47500]	Loss: 0.5260	LR: 0.020000
Training Epoch: 8 [33024/47500]	Loss: 0.5278	LR: 0.020000
Training Epoch: 8 [33280/47500]	Loss: 0.4352	LR: 0.020000
Training Epoch: 8 [33536/47500]	Loss: 0.4802	LR: 0.020000
Training Epoch: 8 [33792/47500]	Loss: 0.5295	LR: 0.020000
Training Epoch: 8 [34048/47500]	Loss: 0.4246	LR: 0.020000
Training Epoch: 8 [34304/47500]	Loss: 0.4697	LR: 0.020000
Training Epoch: 8 [34560/47500]	Loss: 0.3980	LR: 0.020000
Training Epoch: 8 [34816/47500]	Loss: 0.4601	LR: 0.020000
Training Epoch: 8 [35072/47500]	Loss: 0.4164	LR: 0.020000
Training Epoch: 8 [35328/47500]	Loss: 0.4360	LR: 0.020000
Training Epoch: 8 [35584/47500]	Loss: 0.3623	LR: 0.020000
Training Epoch: 8 [35840/47500]	Loss: 0.4016	LR: 0.020000
Training Epoch: 8 [36096/47500]	Loss: 0.5030	LR: 0.020000
Training Epoch: 8 [36352/47500]	Loss: 0.4735	LR: 0.020000
Training Epoch: 8 [36608/47500]	Loss: 0.5604	LR: 0.020000
Training Epoch: 8 [36864/47500]	Loss: 0.4313	LR: 0.020000
Training Epoch: 8 [37120/47500]	Loss: 0.4558	LR: 0.020000
Training Epoch: 8 [37376/47500]	Loss: 0.4225	LR: 0.020000
Training Epoch: 8 [37632/47500]	Loss: 0.4806	LR: 0.020000
Training Epoch: 8 [37888/47500]	Loss: 0.5956	LR: 0.020000
Training Epoch: 8 [38144/47500]	Loss: 0.4717	LR: 0.020000
Training Epoch: 8 [38400/47500]	Loss: 0.4758	LR: 0.020000
Training Epoch: 8 [38656/47500]	Loss: 0.4715	LR: 0.020000
Training Epoch: 8 [38912/47500]	Loss: 0.4983	LR: 0.020000
Training Epoch: 8 [39168/47500]	Loss: 0.3889	LR: 0.020000
Training Epoch: 8 [39424/47500]	Loss: 0.4993	LR: 0.020000
Training Epoch: 8 [39680/47500]	Loss: 0.4423	LR: 0.020000
Training Epoch: 8 [39936/47500]	Loss: 0.3777	LR: 0.020000
Training Epoch: 8 [40192/47500]	Loss: 0.4520	LR: 0.020000
Training Epoch: 8 [40448/47500]	Loss: 0.4256	LR: 0.020000
Training Epoch: 8 [40704/47500]	Loss: 0.4725	LR: 0.020000
Training Epoch: 8 [40960/47500]	Loss: 0.4104	LR: 0.020000
Training Epoch: 8 [41216/47500]	Loss: 0.4882	LR: 0.020000
Training Epoch: 8 [41472/47500]	Loss: 0.4672	LR: 0.020000
Training Epoch: 8 [41728/47500]	Loss: 0.4374	LR: 0.020000
Training Epoch: 8 [41984/47500]	Loss: 0.4811	LR: 0.020000
Training Epoch: 8 [42240/47500]	Loss: 0.4421	LR: 0.020000
Training Epoch: 8 [42496/47500]	Loss: 0.4844	LR: 0.020000
Training Epoch: 8 [42752/47500]	Loss: 0.4479	LR: 0.020000
Training Epoch: 8 [43008/47500]	Loss: 0.4993	LR: 0.020000
Training Epoch: 8 [43264/47500]	Loss: 0.5085	LR: 0.020000
Training Epoch: 8 [43520/47500]	Loss: 0.4205	LR: 0.020000
Training Epoch: 8 [43776/47500]	Loss: 0.4095	LR: 0.020000
Training Epoch: 8 [44032/47500]	Loss: 0.4727	LR: 0.020000
Training Epoch: 8 [44288/47500]	Loss: 0.5729	LR: 0.020000
Training Epoch: 8 [44544/47500]	Loss: 0.4697	LR: 0.020000
Training Epoch: 8 [44800/47500]	Loss: 0.4162	LR: 0.020000
Training Epoch: 8 [45056/47500]	Loss: 0.5210	LR: 0.020000
Training Epoch: 8 [45312/47500]	Loss: 0.5299	LR: 0.020000
Training Epoch: 8 [45568/47500]	Loss: 0.3755	LR: 0.020000
Training Epoch: 8 [45824/47500]	Loss: 0.4793	LR: 0.020000
Training Epoch: 8 [46080/47500]	Loss: 0.4381	LR: 0.020000
Training Epoch: 8 [46336/47500]	Loss: 0.5214	LR: 0.020000
Training Epoch: 8 [46592/47500]	Loss: 0.5142	LR: 0.020000
Training Epoch: 8 [46848/47500]	Loss: 0.5218	LR: 0.020000
Training Epoch: 8 [47104/47500]	Loss: 0.5078	LR: 0.020000
Training Epoch: 8 [47360/47500]	Loss: 0.4732	LR: 0.020000
Training Epoch: 8 [47500/47500]	Loss: 0.4606	LR: 0.020000
Epoch 8 - Average Train Loss: 0.4806, Train Accuracy: 0.8373
Epoch 8 training time consumed: 26.88s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0018, Accuracy: 0.8437, Time consumed:0.99s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_02h_13m_37s/AllCNN-Cifar10-seed9-ret50-8-best.pth
Training Epoch: 9 [256/47500]	Loss: 0.3797	LR: 0.020000
Training Epoch: 9 [512/47500]	Loss: 0.4757	LR: 0.020000
Training Epoch: 9 [768/47500]	Loss: 0.4588	LR: 0.020000
Training Epoch: 9 [1024/47500]	Loss: 0.4873	LR: 0.020000
Training Epoch: 9 [1280/47500]	Loss: 0.4303	LR: 0.020000
Training Epoch: 9 [1536/47500]	Loss: 0.4217	LR: 0.020000
Training Epoch: 9 [1792/47500]	Loss: 0.4811	LR: 0.020000
Training Epoch: 9 [2048/47500]	Loss: 0.4568	LR: 0.020000
Training Epoch: 9 [2304/47500]	Loss: 0.3862	LR: 0.020000
Training Epoch: 9 [2560/47500]	Loss: 0.5447	LR: 0.020000
Training Epoch: 9 [2816/47500]	Loss: 0.4062	LR: 0.020000
Training Epoch: 9 [3072/47500]	Loss: 0.3157	LR: 0.020000
Training Epoch: 9 [3328/47500]	Loss: 0.4792	LR: 0.020000
Training Epoch: 9 [3584/47500]	Loss: 0.2813	LR: 0.020000
Training Epoch: 9 [3840/47500]	Loss: 0.4584	LR: 0.020000
Training Epoch: 9 [4096/47500]	Loss: 0.3994	LR: 0.020000
Training Epoch: 9 [4352/47500]	Loss: 0.4526	LR: 0.020000
Training Epoch: 9 [4608/47500]	Loss: 0.4579	LR: 0.020000
Training Epoch: 9 [4864/47500]	Loss: 0.3763	LR: 0.020000
Training Epoch: 9 [5120/47500]	Loss: 0.3591	LR: 0.020000
Training Epoch: 9 [5376/47500]	Loss: 0.4409	LR: 0.020000
Training Epoch: 9 [5632/47500]	Loss: 0.5004	LR: 0.020000
Training Epoch: 9 [5888/47500]	Loss: 0.3948	LR: 0.020000
Training Epoch: 9 [6144/47500]	Loss: 0.4393	LR: 0.020000
Training Epoch: 9 [6400/47500]	Loss: 0.3830	LR: 0.020000
Training Epoch: 9 [6656/47500]	Loss: 0.5245	LR: 0.020000
Training Epoch: 9 [6912/47500]	Loss: 0.3610	LR: 0.020000
Training Epoch: 9 [7168/47500]	Loss: 0.4469	LR: 0.020000
Training Epoch: 9 [7424/47500]	Loss: 0.4318	LR: 0.020000
Training Epoch: 9 [7680/47500]	Loss: 0.5433	LR: 0.020000
Training Epoch: 9 [7936/47500]	Loss: 0.4960	LR: 0.020000
Training Epoch: 9 [8192/47500]	Loss: 0.4070	LR: 0.020000
Training Epoch: 9 [8448/47500]	Loss: 0.4425	LR: 0.020000
Training Epoch: 9 [8704/47500]	Loss: 0.4264	LR: 0.020000
Training Epoch: 9 [8960/47500]	Loss: 0.3995	LR: 0.020000
Training Epoch: 9 [9216/47500]	Loss: 0.4539	LR: 0.020000
Training Epoch: 9 [9472/47500]	Loss: 0.4154	LR: 0.020000
Training Epoch: 9 [9728/47500]	Loss: 0.5025	LR: 0.020000
Training Epoch: 9 [9984/47500]	Loss: 0.4511	LR: 0.020000
Training Epoch: 9 [10240/47500]	Loss: 0.4279	LR: 0.020000
Training Epoch: 9 [10496/47500]	Loss: 0.5936	LR: 0.020000
Training Epoch: 9 [10752/47500]	Loss: 0.4206	LR: 0.020000
Training Epoch: 9 [11008/47500]	Loss: 0.4814	LR: 0.020000
Training Epoch: 9 [11264/47500]	Loss: 0.4171	LR: 0.020000
Training Epoch: 9 [11520/47500]	Loss: 0.4095	LR: 0.020000
Training Epoch: 9 [11776/47500]	Loss: 0.4629	LR: 0.020000
Training Epoch: 9 [12032/47500]	Loss: 0.4284	LR: 0.020000
Training Epoch: 9 [12288/47500]	Loss: 0.4888	LR: 0.020000
Training Epoch: 9 [12544/47500]	Loss: 0.4547	LR: 0.020000
Training Epoch: 9 [12800/47500]	Loss: 0.3826	LR: 0.020000
Training Epoch: 9 [13056/47500]	Loss: 0.3887	LR: 0.020000
Training Epoch: 9 [13312/47500]	Loss: 0.4371	LR: 0.020000
Training Epoch: 9 [13568/47500]	Loss: 0.4702	LR: 0.020000
Training Epoch: 9 [13824/47500]	Loss: 0.3864	LR: 0.020000
Training Epoch: 9 [14080/47500]	Loss: 0.4309	LR: 0.020000
Training Epoch: 9 [14336/47500]	Loss: 0.4151	LR: 0.020000
Training Epoch: 9 [14592/47500]	Loss: 0.5353	LR: 0.020000
Training Epoch: 9 [14848/47500]	Loss: 0.4382	LR: 0.020000
Training Epoch: 9 [15104/47500]	Loss: 0.3653	LR: 0.020000
Training Epoch: 9 [15360/47500]	Loss: 0.5229	LR: 0.020000
Training Epoch: 9 [15616/47500]	Loss: 0.4449	LR: 0.020000
Training Epoch: 9 [15872/47500]	Loss: 0.3599	LR: 0.020000
Training Epoch: 9 [16128/47500]	Loss: 0.4426	LR: 0.020000
Training Epoch: 9 [16384/47500]	Loss: 0.4890	LR: 0.020000
Training Epoch: 9 [16640/47500]	Loss: 0.3986	LR: 0.020000
Training Epoch: 9 [16896/47500]	Loss: 0.3595	LR: 0.020000
Training Epoch: 9 [17152/47500]	Loss: 0.4090	LR: 0.020000
Training Epoch: 9 [17408/47500]	Loss: 0.4202	LR: 0.020000
Training Epoch: 9 [17664/47500]	Loss: 0.4715	LR: 0.020000
Training Epoch: 9 [17920/47500]	Loss: 0.4204	LR: 0.020000
Training Epoch: 9 [18176/47500]	Loss: 0.3764	LR: 0.020000
Training Epoch: 9 [18432/47500]	Loss: 0.4217	LR: 0.020000
Training Epoch: 9 [18688/47500]	Loss: 0.3827	LR: 0.020000
Training Epoch: 9 [18944/47500]	Loss: 0.4696	LR: 0.020000
Training Epoch: 9 [19200/47500]	Loss: 0.4374	LR: 0.020000
Training Epoch: 9 [19456/47500]	Loss: 0.3581	LR: 0.020000
Training Epoch: 9 [19712/47500]	Loss: 0.4386	LR: 0.020000
Training Epoch: 9 [19968/47500]	Loss: 0.4950	LR: 0.020000
Training Epoch: 9 [20224/47500]	Loss: 0.4691	LR: 0.020000
Training Epoch: 9 [20480/47500]	Loss: 0.4283	LR: 0.020000
Training Epoch: 9 [20736/47500]	Loss: 0.3877	LR: 0.020000
Training Epoch: 9 [20992/47500]	Loss: 0.4353	LR: 0.020000
Training Epoch: 9 [21248/47500]	Loss: 0.4382	LR: 0.020000
Training Epoch: 9 [21504/47500]	Loss: 0.4724	LR: 0.020000
Training Epoch: 9 [21760/47500]	Loss: 0.4470	LR: 0.020000
Training Epoch: 9 [22016/47500]	Loss: 0.3996	LR: 0.020000
Training Epoch: 9 [22272/47500]	Loss: 0.4340	LR: 0.020000
Training Epoch: 9 [22528/47500]	Loss: 0.4345	LR: 0.020000
Training Epoch: 9 [22784/47500]	Loss: 0.5082	LR: 0.020000
Training Epoch: 9 [23040/47500]	Loss: 0.4772	LR: 0.020000
Training Epoch: 9 [23296/47500]	Loss: 0.3786	LR: 0.020000
Training Epoch: 9 [23552/47500]	Loss: 0.4825	LR: 0.020000
Training Epoch: 9 [23808/47500]	Loss: 0.5161	LR: 0.020000
Training Epoch: 9 [24064/47500]	Loss: 0.4245	LR: 0.020000
Training Epoch: 9 [24320/47500]	Loss: 0.4179	LR: 0.020000
Training Epoch: 9 [24576/47500]	Loss: 0.4224	LR: 0.020000
Training Epoch: 9 [24832/47500]	Loss: 0.5109	LR: 0.020000
Training Epoch: 9 [25088/47500]	Loss: 0.4680	LR: 0.020000
Training Epoch: 9 [25344/47500]	Loss: 0.4372	LR: 0.020000
Training Epoch: 9 [25600/47500]	Loss: 0.4156	LR: 0.020000
Training Epoch: 9 [25856/47500]	Loss: 0.4648	LR: 0.020000
Training Epoch: 9 [26112/47500]	Loss: 0.4925	LR: 0.020000
Training Epoch: 9 [26368/47500]	Loss: 0.4516	LR: 0.020000
Training Epoch: 9 [26624/47500]	Loss: 0.4607	LR: 0.020000
Training Epoch: 9 [26880/47500]	Loss: 0.5130	LR: 0.020000
Training Epoch: 9 [27136/47500]	Loss: 0.4359	LR: 0.020000
Training Epoch: 9 [27392/47500]	Loss: 0.4923	LR: 0.020000
Training Epoch: 9 [27648/47500]	Loss: 0.3208	LR: 0.020000
Training Epoch: 9 [27904/47500]	Loss: 0.4193	LR: 0.020000
Training Epoch: 9 [28160/47500]	Loss: 0.4292	LR: 0.020000
Training Epoch: 9 [28416/47500]	Loss: 0.4323	LR: 0.020000
Training Epoch: 9 [28672/47500]	Loss: 0.4139	LR: 0.020000
Training Epoch: 9 [28928/47500]	Loss: 0.4009	LR: 0.020000
Training Epoch: 9 [29184/47500]	Loss: 0.3505	LR: 0.020000
Training Epoch: 9 [29440/47500]	Loss: 0.4806	LR: 0.020000
Training Epoch: 9 [29696/47500]	Loss: 0.4890	LR: 0.020000
Training Epoch: 9 [29952/47500]	Loss: 0.3524	LR: 0.020000
Training Epoch: 9 [30208/47500]	Loss: 0.4513	LR: 0.020000
Training Epoch: 9 [30464/47500]	Loss: 0.4060	LR: 0.020000
Training Epoch: 9 [30720/47500]	Loss: 0.4268	LR: 0.020000
Training Epoch: 9 [30976/47500]	Loss: 0.4296	LR: 0.020000
Training Epoch: 9 [31232/47500]	Loss: 0.4227	LR: 0.020000
Training Epoch: 9 [31488/47500]	Loss: 0.4491	LR: 0.020000
Training Epoch: 9 [31744/47500]	Loss: 0.4499	LR: 0.020000
Training Epoch: 9 [32000/47500]	Loss: 0.3924	LR: 0.020000
Training Epoch: 9 [32256/47500]	Loss: 0.4036	LR: 0.020000
Training Epoch: 9 [32512/47500]	Loss: 0.4743	LR: 0.020000
Training Epoch: 9 [32768/47500]	Loss: 0.4767	LR: 0.020000
Training Epoch: 9 [33024/47500]	Loss: 0.3817	LR: 0.020000
Training Epoch: 9 [33280/47500]	Loss: 0.4104	LR: 0.020000
Training Epoch: 9 [33536/47500]	Loss: 0.3851	LR: 0.020000
Training Epoch: 9 [33792/47500]	Loss: 0.4400	LR: 0.020000
Training Epoch: 9 [34048/47500]	Loss: 0.3514	LR: 0.020000
Training Epoch: 9 [34304/47500]	Loss: 0.4641	LR: 0.020000
Training Epoch: 9 [34560/47500]	Loss: 0.4811	LR: 0.020000
Training Epoch: 9 [34816/47500]	Loss: 0.4602	LR: 0.020000
Training Epoch: 9 [35072/47500]	Loss: 0.4799	LR: 0.020000
Training Epoch: 9 [35328/47500]	Loss: 0.3896	LR: 0.020000
Training Epoch: 9 [35584/47500]	Loss: 0.3989	LR: 0.020000
Training Epoch: 9 [35840/47500]	Loss: 0.4015	LR: 0.020000
Training Epoch: 9 [36096/47500]	Loss: 0.4777	LR: 0.020000
Training Epoch: 9 [36352/47500]	Loss: 0.5274	LR: 0.020000
Training Epoch: 9 [36608/47500]	Loss: 0.4933	LR: 0.020000
Training Epoch: 9 [36864/47500]	Loss: 0.3911	LR: 0.020000
Training Epoch: 9 [37120/47500]	Loss: 0.3956	LR: 0.020000
Training Epoch: 9 [37376/47500]	Loss: 0.5174	LR: 0.020000
Training Epoch: 9 [37632/47500]	Loss: 0.3848	LR: 0.020000
Training Epoch: 9 [37888/47500]	Loss: 0.3957	LR: 0.020000
Training Epoch: 9 [38144/47500]	Loss: 0.3991	LR: 0.020000
Training Epoch: 9 [38400/47500]	Loss: 0.4294	LR: 0.020000
Training Epoch: 9 [38656/47500]	Loss: 0.4106	LR: 0.020000
Training Epoch: 9 [38912/47500]	Loss: 0.4776	LR: 0.020000
Training Epoch: 9 [39168/47500]	Loss: 0.4099	LR: 0.020000
Training Epoch: 9 [39424/47500]	Loss: 0.3707	LR: 0.020000
Training Epoch: 9 [39680/47500]	Loss: 0.4676	LR: 0.020000
Training Epoch: 9 [39936/47500]	Loss: 0.4331	LR: 0.020000
Training Epoch: 9 [40192/47500]	Loss: 0.5064	LR: 0.020000
Training Epoch: 9 [40448/47500]	Loss: 0.4032	LR: 0.020000
Training Epoch: 9 [40704/47500]	Loss: 0.4376	LR: 0.020000
Training Epoch: 9 [40960/47500]	Loss: 0.3717	LR: 0.020000
Training Epoch: 9 [41216/47500]	Loss: 0.3775	LR: 0.020000
Training Epoch: 9 [41472/47500]	Loss: 0.3300	LR: 0.020000
Training Epoch: 9 [41728/47500]	Loss: 0.4264	LR: 0.020000
Training Epoch: 9 [41984/47500]	Loss: 0.4402	LR: 0.020000
Training Epoch: 9 [42240/47500]	Loss: 0.5004	LR: 0.020000
Training Epoch: 9 [42496/47500]	Loss: 0.4444	LR: 0.020000
Training Epoch: 9 [42752/47500]	Loss: 0.4286	LR: 0.020000
Training Epoch: 9 [43008/47500]	Loss: 0.4051	LR: 0.020000
Training Epoch: 9 [43264/47500]	Loss: 0.5681	LR: 0.020000
Training Epoch: 9 [43520/47500]	Loss: 0.4579	LR: 0.020000
Training Epoch: 9 [43776/47500]	Loss: 0.4107	LR: 0.020000
Training Epoch: 9 [44032/47500]	Loss: 0.4623	LR: 0.020000
Training Epoch: 9 [44288/47500]	Loss: 0.5376	LR: 0.020000
Training Epoch: 9 [44544/47500]	Loss: 0.4012	LR: 0.020000
Training Epoch: 9 [44800/47500]	Loss: 0.4125	LR: 0.020000
Training Epoch: 9 [45056/47500]	Loss: 0.4236	LR: 0.020000
Training Epoch: 9 [45312/47500]	Loss: 0.5220	LR: 0.020000
Training Epoch: 9 [45568/47500]	Loss: 0.3588	LR: 0.020000
Training Epoch: 9 [45824/47500]	Loss: 0.4228	LR: 0.020000
Training Epoch: 9 [46080/47500]	Loss: 0.4569	LR: 0.020000
Training Epoch: 9 [46336/47500]	Loss: 0.4087	LR: 0.020000
Training Epoch: 9 [46592/47500]	Loss: 0.4950	LR: 0.020000
Training Epoch: 9 [46848/47500]	Loss: 0.4781	LR: 0.020000
Training Epoch: 9 [47104/47500]	Loss: 0.4422	LR: 0.020000
Training Epoch: 9 [47360/47500]	Loss: 0.3889	LR: 0.020000
Training Epoch: 9 [47500/47500]	Loss: 0.4755	LR: 0.020000
Epoch 9 - Average Train Loss: 0.4361, Train Accuracy: 0.8492
Epoch 9 training time consumed: 26.86s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0018, Accuracy: 0.8439, Time consumed:0.99s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_02h_13m_37s/AllCNN-Cifar10-seed9-ret50-9-best.pth
Training Epoch: 10 [256/47500]	Loss: 0.3936	LR: 0.020000
Training Epoch: 10 [512/47500]	Loss: 0.3599	LR: 0.020000
Training Epoch: 10 [768/47500]	Loss: 0.4141	LR: 0.020000
Training Epoch: 10 [1024/47500]	Loss: 0.4083	LR: 0.020000
Training Epoch: 10 [1280/47500]	Loss: 0.4564	LR: 0.020000
Training Epoch: 10 [1536/47500]	Loss: 0.4027	LR: 0.020000
Training Epoch: 10 [1792/47500]	Loss: 0.4873	LR: 0.020000
Training Epoch: 10 [2048/47500]	Loss: 0.3480	LR: 0.020000
Training Epoch: 10 [2304/47500]	Loss: 0.4611	LR: 0.020000
Training Epoch: 10 [2560/47500]	Loss: 0.4572	LR: 0.020000
Training Epoch: 10 [2816/47500]	Loss: 0.4791	LR: 0.020000
Training Epoch: 10 [3072/47500]	Loss: 0.4605	LR: 0.020000
Training Epoch: 10 [3328/47500]	Loss: 0.3771	LR: 0.020000
Training Epoch: 10 [3584/47500]	Loss: 0.3473	LR: 0.020000
Training Epoch: 10 [3840/47500]	Loss: 0.3386	LR: 0.020000
Training Epoch: 10 [4096/47500]	Loss: 0.3567	LR: 0.020000
Training Epoch: 10 [4352/47500]	Loss: 0.5697	LR: 0.020000
Training Epoch: 10 [4608/47500]	Loss: 0.3852	LR: 0.020000
Training Epoch: 10 [4864/47500]	Loss: 0.4230	LR: 0.020000
Training Epoch: 10 [5120/47500]	Loss: 0.4058	LR: 0.020000
Training Epoch: 10 [5376/47500]	Loss: 0.4005	LR: 0.020000
Training Epoch: 10 [5632/47500]	Loss: 0.3609	LR: 0.020000
Training Epoch: 10 [5888/47500]	Loss: 0.5008	LR: 0.020000
Training Epoch: 10 [6144/47500]	Loss: 0.4807	LR: 0.020000
Training Epoch: 10 [6400/47500]	Loss: 0.3890	LR: 0.020000
Training Epoch: 10 [6656/47500]	Loss: 0.3877	LR: 0.020000
Training Epoch: 10 [6912/47500]	Loss: 0.4155	LR: 0.020000
Training Epoch: 10 [7168/47500]	Loss: 0.4254	LR: 0.020000
Training Epoch: 10 [7424/47500]	Loss: 0.4721	LR: 0.020000
Training Epoch: 10 [7680/47500]	Loss: 0.4122	LR: 0.020000
Training Epoch: 10 [7936/47500]	Loss: 0.4016	LR: 0.020000
Training Epoch: 10 [8192/47500]	Loss: 0.4537	LR: 0.020000
Training Epoch: 10 [8448/47500]	Loss: 0.4052	LR: 0.020000
Training Epoch: 10 [8704/47500]	Loss: 0.4195	LR: 0.020000
Training Epoch: 10 [8960/47500]	Loss: 0.4410	LR: 0.020000
Training Epoch: 10 [9216/47500]	Loss: 0.4150	LR: 0.020000
Training Epoch: 10 [9472/47500]	Loss: 0.3807	LR: 0.020000
Training Epoch: 10 [9728/47500]	Loss: 0.4634	LR: 0.020000
Training Epoch: 10 [9984/47500]	Loss: 0.4581	LR: 0.020000
Training Epoch: 10 [10240/47500]	Loss: 0.4758	LR: 0.020000
Training Epoch: 10 [10496/47500]	Loss: 0.5605	LR: 0.020000
Training Epoch: 10 [10752/47500]	Loss: 0.4132	LR: 0.020000
Training Epoch: 10 [11008/47500]	Loss: 0.4193	LR: 0.020000
Training Epoch: 10 [11264/47500]	Loss: 0.4545	LR: 0.020000
Training Epoch: 10 [11520/47500]	Loss: 0.4550	LR: 0.020000
Training Epoch: 10 [11776/47500]	Loss: 0.5407	LR: 0.020000
Training Epoch: 10 [12032/47500]	Loss: 0.3969	LR: 0.020000
Training Epoch: 10 [12288/47500]	Loss: 0.3528	LR: 0.020000
Training Epoch: 10 [12544/47500]	Loss: 0.5212	LR: 0.020000
Training Epoch: 10 [12800/47500]	Loss: 0.4545	LR: 0.020000
Training Epoch: 10 [13056/47500]	Loss: 0.4697	LR: 0.020000
Training Epoch: 10 [13312/47500]	Loss: 0.4441	LR: 0.020000
Training Epoch: 10 [13568/47500]	Loss: 0.4607	LR: 0.020000
Training Epoch: 10 [13824/47500]	Loss: 0.4206	LR: 0.020000
Training Epoch: 10 [14080/47500]	Loss: 0.5403	LR: 0.020000
Training Epoch: 10 [14336/47500]	Loss: 0.3868	LR: 0.020000
Training Epoch: 10 [14592/47500]	Loss: 0.4271	LR: 0.020000
Training Epoch: 10 [14848/47500]	Loss: 0.4099	LR: 0.020000
Training Epoch: 10 [15104/47500]	Loss: 0.3874	LR: 0.020000
Training Epoch: 10 [15360/47500]	Loss: 0.3992	LR: 0.020000
Training Epoch: 10 [15616/47500]	Loss: 0.3485	LR: 0.020000
Training Epoch: 10 [15872/47500]	Loss: 0.4388	LR: 0.020000
Training Epoch: 10 [16128/47500]	Loss: 0.4880	LR: 0.020000
Training Epoch: 10 [16384/47500]	Loss: 0.3408	LR: 0.020000
Training Epoch: 10 [16640/47500]	Loss: 0.3899	LR: 0.020000
Training Epoch: 10 [16896/47500]	Loss: 0.3764	LR: 0.020000
Training Epoch: 10 [17152/47500]	Loss: 0.4292	LR: 0.020000
Training Epoch: 10 [17408/47500]	Loss: 0.3746	LR: 0.020000
Training Epoch: 10 [17664/47500]	Loss: 0.3686	LR: 0.020000
Training Epoch: 10 [17920/47500]	Loss: 0.4399	LR: 0.020000
Training Epoch: 10 [18176/47500]	Loss: 0.4534	LR: 0.020000
Training Epoch: 10 [18432/47500]	Loss: 0.5106	LR: 0.020000
Training Epoch: 10 [18688/47500]	Loss: 0.3912	LR: 0.020000
Training Epoch: 10 [18944/47500]	Loss: 0.4514	LR: 0.020000
Training Epoch: 10 [19200/47500]	Loss: 0.4112	LR: 0.020000
Training Epoch: 10 [19456/47500]	Loss: 0.3676	LR: 0.020000
Training Epoch: 10 [19712/47500]	Loss: 0.4273	LR: 0.020000
Training Epoch: 10 [19968/47500]	Loss: 0.3273	LR: 0.020000
Training Epoch: 10 [20224/47500]	Loss: 0.4459	LR: 0.020000
Training Epoch: 10 [20480/47500]	Loss: 0.5081	LR: 0.020000
Training Epoch: 10 [20736/47500]	Loss: 0.4070	LR: 0.020000
Training Epoch: 10 [20992/47500]	Loss: 0.3944	LR: 0.020000
Training Epoch: 10 [21248/47500]	Loss: 0.4175	LR: 0.020000
Training Epoch: 10 [21504/47500]	Loss: 0.3617	LR: 0.020000
Training Epoch: 10 [21760/47500]	Loss: 0.4310	LR: 0.020000
Training Epoch: 10 [22016/47500]	Loss: 0.3358	LR: 0.020000
Training Epoch: 10 [22272/47500]	Loss: 0.3463	LR: 0.020000
Training Epoch: 10 [22528/47500]	Loss: 0.3815	LR: 0.020000
Training Epoch: 10 [22784/47500]	Loss: 0.3605	LR: 0.020000
Training Epoch: 10 [23040/47500]	Loss: 0.4407	LR: 0.020000
Training Epoch: 10 [23296/47500]	Loss: 0.5027	LR: 0.020000
Training Epoch: 10 [23552/47500]	Loss: 0.4257	LR: 0.020000
Training Epoch: 10 [23808/47500]	Loss: 0.4425	LR: 0.020000
Training Epoch: 10 [24064/47500]	Loss: 0.5348	LR: 0.020000
Training Epoch: 10 [24320/47500]	Loss: 0.3648	LR: 0.020000
Training Epoch: 10 [24576/47500]	Loss: 0.4951	LR: 0.020000
Training Epoch: 10 [24832/47500]	Loss: 0.3597	LR: 0.020000
Training Epoch: 10 [25088/47500]	Loss: 0.4276	LR: 0.020000
Training Epoch: 10 [25344/47500]	Loss: 0.4254	LR: 0.020000
Training Epoch: 10 [25600/47500]	Loss: 0.3465	LR: 0.020000
Training Epoch: 10 [25856/47500]	Loss: 0.3468	LR: 0.020000
Training Epoch: 10 [26112/47500]	Loss: 0.4147	LR: 0.020000
Training Epoch: 10 [26368/47500]	Loss: 0.4377	LR: 0.020000
Training Epoch: 10 [26624/47500]	Loss: 0.3703	LR: 0.020000
Training Epoch: 10 [26880/47500]	Loss: 0.4107	LR: 0.020000
Training Epoch: 10 [27136/47500]	Loss: 0.4470	LR: 0.020000
Training Epoch: 10 [27392/47500]	Loss: 0.4971	LR: 0.020000
Training Epoch: 10 [27648/47500]	Loss: 0.3928	LR: 0.020000
Training Epoch: 10 [27904/47500]	Loss: 0.3175	LR: 0.020000
Training Epoch: 10 [28160/47500]	Loss: 0.3444	LR: 0.020000
Training Epoch: 10 [28416/47500]	Loss: 0.4244	LR: 0.020000
Training Epoch: 10 [28672/47500]	Loss: 0.3662	LR: 0.020000
Training Epoch: 10 [28928/47500]	Loss: 0.3519	LR: 0.020000
Training Epoch: 10 [29184/47500]	Loss: 0.3770	LR: 0.020000
Training Epoch: 10 [29440/47500]	Loss: 0.5119	LR: 0.020000
Training Epoch: 10 [29696/47500]	Loss: 0.4004	LR: 0.020000
Training Epoch: 10 [29952/47500]	Loss: 0.4278	LR: 0.020000
Training Epoch: 10 [30208/47500]	Loss: 0.4557	LR: 0.020000
Training Epoch: 10 [30464/47500]	Loss: 0.3611	LR: 0.020000
Training Epoch: 10 [30720/47500]	Loss: 0.4304	LR: 0.020000
Training Epoch: 10 [30976/47500]	Loss: 0.4384	LR: 0.020000
Training Epoch: 10 [31232/47500]	Loss: 0.4091	LR: 0.020000
Training Epoch: 10 [31488/47500]	Loss: 0.3381	LR: 0.020000
Training Epoch: 10 [31744/47500]	Loss: 0.3956	LR: 0.020000
Training Epoch: 10 [32000/47500]	Loss: 0.3711	LR: 0.020000
Training Epoch: 10 [32256/47500]	Loss: 0.3488	LR: 0.020000
Training Epoch: 10 [32512/47500]	Loss: 0.4959	LR: 0.020000
Training Epoch: 10 [32768/47500]	Loss: 0.4094	LR: 0.020000
Training Epoch: 10 [33024/47500]	Loss: 0.4781	LR: 0.020000
Training Epoch: 10 [33280/47500]	Loss: 0.3416	LR: 0.020000
Training Epoch: 10 [33536/47500]	Loss: 0.3932	LR: 0.020000
Training Epoch: 10 [33792/47500]	Loss: 0.4194	LR: 0.020000
Training Epoch: 10 [34048/47500]	Loss: 0.3924	LR: 0.020000
Training Epoch: 10 [34304/47500]	Loss: 0.4105	LR: 0.020000
Training Epoch: 10 [34560/47500]	Loss: 0.3995	LR: 0.020000
Training Epoch: 10 [34816/47500]	Loss: 0.3673	LR: 0.020000
Training Epoch: 10 [35072/47500]	Loss: 0.3749	LR: 0.020000
Training Epoch: 10 [35328/47500]	Loss: 0.3782	LR: 0.020000
Training Epoch: 10 [35584/47500]	Loss: 0.4609	LR: 0.020000
Training Epoch: 10 [35840/47500]	Loss: 0.5027	LR: 0.020000
Training Epoch: 10 [36096/47500]	Loss: 0.3345	LR: 0.020000
Training Epoch: 10 [36352/47500]	Loss: 0.4749	LR: 0.020000
Training Epoch: 10 [36608/47500]	Loss: 0.4060	LR: 0.020000
Training Epoch: 10 [36864/47500]	Loss: 0.4443	LR: 0.020000
Training Epoch: 10 [37120/47500]	Loss: 0.4450	LR: 0.020000
Training Epoch: 10 [37376/47500]	Loss: 0.4836	LR: 0.020000
Training Epoch: 10 [37632/47500]	Loss: 0.3543	LR: 0.020000
Training Epoch: 10 [37888/47500]	Loss: 0.3778	LR: 0.020000
Training Epoch: 10 [38144/47500]	Loss: 0.4084	LR: 0.020000
Training Epoch: 10 [38400/47500]	Loss: 0.3814	LR: 0.020000
Training Epoch: 10 [38656/47500]	Loss: 0.4234	LR: 0.020000
Training Epoch: 10 [38912/47500]	Loss: 0.3613	LR: 0.020000
Training Epoch: 10 [39168/47500]	Loss: 0.4397	LR: 0.020000
Training Epoch: 10 [39424/47500]	Loss: 0.3702	LR: 0.020000
Training Epoch: 10 [39680/47500]	Loss: 0.3881	LR: 0.020000
Training Epoch: 10 [39936/47500]	Loss: 0.4201	LR: 0.020000
Training Epoch: 10 [40192/47500]	Loss: 0.4113	LR: 0.020000
Training Epoch: 10 [40448/47500]	Loss: 0.4019	LR: 0.020000
Training Epoch: 10 [40704/47500]	Loss: 0.3875	LR: 0.020000
Training Epoch: 10 [40960/47500]	Loss: 0.3441	LR: 0.020000
Training Epoch: 10 [41216/47500]	Loss: 0.4287	LR: 0.020000
Training Epoch: 10 [41472/47500]	Loss: 0.3782	LR: 0.020000
Training Epoch: 10 [41728/47500]	Loss: 0.4338	LR: 0.020000
Training Epoch: 10 [41984/47500]	Loss: 0.3956	LR: 0.020000
Training Epoch: 10 [42240/47500]	Loss: 0.3836	LR: 0.020000
Training Epoch: 10 [42496/47500]	Loss: 0.4192	LR: 0.020000
Training Epoch: 10 [42752/47500]	Loss: 0.4576	LR: 0.020000
Training Epoch: 10 [43008/47500]	Loss: 0.5321	LR: 0.020000
Training Epoch: 10 [43264/47500]	Loss: 0.4193	LR: 0.020000
Training Epoch: 10 [43520/47500]	Loss: 0.4202	LR: 0.020000
Training Epoch: 10 [43776/47500]	Loss: 0.4098	LR: 0.020000
Training Epoch: 10 [44032/47500]	Loss: 0.3891	LR: 0.020000
Training Epoch: 10 [44288/47500]	Loss: 0.4138	LR: 0.020000
Training Epoch: 10 [44544/47500]	Loss: 0.4474	LR: 0.020000
Training Epoch: 10 [44800/47500]	Loss: 0.4068	LR: 0.020000
Training Epoch: 10 [45056/47500]	Loss: 0.3916	LR: 0.020000
Training Epoch: 10 [45312/47500]	Loss: 0.4349	LR: 0.020000
Training Epoch: 10 [45568/47500]	Loss: 0.4748	LR: 0.020000
Training Epoch: 10 [45824/47500]	Loss: 0.2930	LR: 0.020000
Training Epoch: 10 [46080/47500]	Loss: 0.3739	LR: 0.020000
Training Epoch: 10 [46336/47500]	Loss: 0.4005	LR: 0.020000
Training Epoch: 10 [46592/47500]	Loss: 0.4118	LR: 0.020000
Training Epoch: 10 [46848/47500]	Loss: 0.3627	LR: 0.020000
Training Epoch: 10 [47104/47500]	Loss: 0.3855	LR: 0.020000
Training Epoch: 10 [47360/47500]	Loss: 0.3870	LR: 0.020000
Training Epoch: 10 [47500/47500]	Loss: 0.5830	LR: 0.020000
Epoch 10 - Average Train Loss: 0.4157, Train Accuracy: 0.8560
Epoch 10 training time consumed: 26.69s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0018, Accuracy: 0.8526, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_02h_13m_37s/AllCNN-Cifar10-seed9-ret50-10-best.pth
Training Epoch: 11 [256/47500]	Loss: 0.3584	LR: 0.020000
Training Epoch: 11 [512/47500]	Loss: 0.3356	LR: 0.020000
Training Epoch: 11 [768/47500]	Loss: 0.4961	LR: 0.020000
Training Epoch: 11 [1024/47500]	Loss: 0.3860	LR: 0.020000
Training Epoch: 11 [1280/47500]	Loss: 0.3909	LR: 0.020000
Training Epoch: 11 [1536/47500]	Loss: 0.3858	LR: 0.020000
Training Epoch: 11 [1792/47500]	Loss: 0.4212	LR: 0.020000
Training Epoch: 11 [2048/47500]	Loss: 0.4515	LR: 0.020000
Training Epoch: 11 [2304/47500]	Loss: 0.3563	LR: 0.020000
Training Epoch: 11 [2560/47500]	Loss: 0.3834	LR: 0.020000
Training Epoch: 11 [2816/47500]	Loss: 0.4278	LR: 0.020000
Training Epoch: 11 [3072/47500]	Loss: 0.4268	LR: 0.020000
Training Epoch: 11 [3328/47500]	Loss: 0.3876	LR: 0.020000
Training Epoch: 11 [3584/47500]	Loss: 0.4398	LR: 0.020000
Training Epoch: 11 [3840/47500]	Loss: 0.4101	LR: 0.020000
Training Epoch: 11 [4096/47500]	Loss: 0.4341	LR: 0.020000
Training Epoch: 11 [4352/47500]	Loss: 0.3104	LR: 0.020000
Training Epoch: 11 [4608/47500]	Loss: 0.3824	LR: 0.020000
Training Epoch: 11 [4864/47500]	Loss: 0.3494	LR: 0.020000
Training Epoch: 11 [5120/47500]	Loss: 0.4211	LR: 0.020000
Training Epoch: 11 [5376/47500]	Loss: 0.4787	LR: 0.020000
Training Epoch: 11 [5632/47500]	Loss: 0.3678	LR: 0.020000
Training Epoch: 11 [5888/47500]	Loss: 0.3901	LR: 0.020000
Training Epoch: 11 [6144/47500]	Loss: 0.3813	LR: 0.020000
Training Epoch: 11 [6400/47500]	Loss: 0.3326	LR: 0.020000
Training Epoch: 11 [6656/47500]	Loss: 0.3444	LR: 0.020000
Training Epoch: 11 [6912/47500]	Loss: 0.3884	LR: 0.020000
Training Epoch: 11 [7168/47500]	Loss: 0.5512	LR: 0.020000
Training Epoch: 11 [7424/47500]	Loss: 0.4931	LR: 0.020000
Training Epoch: 11 [7680/47500]	Loss: 0.4476	LR: 0.020000
Training Epoch: 11 [7936/47500]	Loss: 0.4427	LR: 0.020000
Training Epoch: 11 [8192/47500]	Loss: 0.4158	LR: 0.020000
Training Epoch: 11 [8448/47500]	Loss: 0.3597	LR: 0.020000
Training Epoch: 11 [8704/47500]	Loss: 0.3712	LR: 0.020000
Training Epoch: 11 [8960/47500]	Loss: 0.4903	LR: 0.020000
Training Epoch: 11 [9216/47500]	Loss: 0.3877	LR: 0.020000
Training Epoch: 11 [9472/47500]	Loss: 0.4185	LR: 0.020000
Training Epoch: 11 [9728/47500]	Loss: 0.3887	LR: 0.020000
Training Epoch: 11 [9984/47500]	Loss: 0.3138	LR: 0.020000
Training Epoch: 11 [10240/47500]	Loss: 0.3391	LR: 0.020000
Training Epoch: 11 [10496/47500]	Loss: 0.3566	LR: 0.020000
Training Epoch: 11 [10752/47500]	Loss: 0.3805	LR: 0.020000
Training Epoch: 11 [11008/47500]	Loss: 0.4493	LR: 0.020000
Training Epoch: 11 [11264/47500]	Loss: 0.4073	LR: 0.020000
Training Epoch: 11 [11520/47500]	Loss: 0.4222	LR: 0.020000
Training Epoch: 11 [11776/47500]	Loss: 0.4225	LR: 0.020000
Training Epoch: 11 [12032/47500]	Loss: 0.4014	LR: 0.020000
Training Epoch: 11 [12288/47500]	Loss: 0.4390	LR: 0.020000
Training Epoch: 11 [12544/47500]	Loss: 0.3849	LR: 0.020000
Training Epoch: 11 [12800/47500]	Loss: 0.3645	LR: 0.020000
Training Epoch: 11 [13056/47500]	Loss: 0.3680	LR: 0.020000
Training Epoch: 11 [13312/47500]	Loss: 0.4089	LR: 0.020000
Training Epoch: 11 [13568/47500]	Loss: 0.3836	LR: 0.020000
Training Epoch: 11 [13824/47500]	Loss: 0.4345	LR: 0.020000
Training Epoch: 11 [14080/47500]	Loss: 0.4307	LR: 0.020000
Training Epoch: 11 [14336/47500]	Loss: 0.4367	LR: 0.020000
Training Epoch: 11 [14592/47500]	Loss: 0.3290	LR: 0.020000
Training Epoch: 11 [14848/47500]	Loss: 0.4443	LR: 0.020000
Training Epoch: 11 [15104/47500]	Loss: 0.4595	LR: 0.020000
Training Epoch: 11 [15360/47500]	Loss: 0.4120	LR: 0.020000
Training Epoch: 11 [15616/47500]	Loss: 0.4369	LR: 0.020000
Training Epoch: 11 [15872/47500]	Loss: 0.4352	LR: 0.020000
Training Epoch: 11 [16128/47500]	Loss: 0.4296	LR: 0.020000
Training Epoch: 11 [16384/47500]	Loss: 0.5264	LR: 0.020000
Training Epoch: 11 [16640/47500]	Loss: 0.3938	LR: 0.020000
Training Epoch: 11 [16896/47500]	Loss: 0.4268	LR: 0.020000
Training Epoch: 11 [17152/47500]	Loss: 0.3386	LR: 0.020000
Training Epoch: 11 [17408/47500]	Loss: 0.3775	LR: 0.020000
Training Epoch: 11 [17664/47500]	Loss: 0.3729	LR: 0.020000
Training Epoch: 11 [17920/47500]	Loss: 0.4085	LR: 0.020000
Training Epoch: 11 [18176/47500]	Loss: 0.5183	LR: 0.020000
Training Epoch: 11 [18432/47500]	Loss: 0.3647	LR: 0.020000
Training Epoch: 11 [18688/47500]	Loss: 0.3556	LR: 0.020000
Training Epoch: 11 [18944/47500]	Loss: 0.3679	LR: 0.020000
Training Epoch: 11 [19200/47500]	Loss: 0.4610	LR: 0.020000
Training Epoch: 11 [19456/47500]	Loss: 0.3723	LR: 0.020000
Training Epoch: 11 [19712/47500]	Loss: 0.3722	LR: 0.020000
Training Epoch: 11 [19968/47500]	Loss: 0.4685	LR: 0.020000
Training Epoch: 11 [20224/47500]	Loss: 0.4233	LR: 0.020000
Training Epoch: 11 [20480/47500]	Loss: 0.3517	LR: 0.020000
Training Epoch: 11 [20736/47500]	Loss: 0.4525	LR: 0.020000
Training Epoch: 11 [20992/47500]	Loss: 0.3989	LR: 0.020000
Training Epoch: 11 [21248/47500]	Loss: 0.4249	LR: 0.020000
Training Epoch: 11 [21504/47500]	Loss: 0.3378	LR: 0.020000
Training Epoch: 11 [21760/47500]	Loss: 0.3758	LR: 0.020000
Training Epoch: 11 [22016/47500]	Loss: 0.4416	LR: 0.020000
Training Epoch: 11 [22272/47500]	Loss: 0.3706	LR: 0.020000
Training Epoch: 11 [22528/47500]	Loss: 0.3850	LR: 0.020000
Training Epoch: 11 [22784/47500]	Loss: 0.4388	LR: 0.020000
Training Epoch: 11 [23040/47500]	Loss: 0.4018	LR: 0.020000
Training Epoch: 11 [23296/47500]	Loss: 0.3658	LR: 0.020000
Training Epoch: 11 [23552/47500]	Loss: 0.3825	LR: 0.020000
Training Epoch: 11 [23808/47500]	Loss: 0.3542	LR: 0.020000
Training Epoch: 11 [24064/47500]	Loss: 0.4018	LR: 0.020000
Training Epoch: 11 [24320/47500]	Loss: 0.4109	LR: 0.020000
Training Epoch: 11 [24576/47500]	Loss: 0.3055	LR: 0.020000
Training Epoch: 11 [24832/47500]	Loss: 0.4207	LR: 0.020000
Training Epoch: 11 [25088/47500]	Loss: 0.3830	LR: 0.020000
Training Epoch: 11 [25344/47500]	Loss: 0.4541	LR: 0.020000
Training Epoch: 11 [25600/47500]	Loss: 0.3829	LR: 0.020000
Training Epoch: 11 [25856/47500]	Loss: 0.2931	LR: 0.020000
Training Epoch: 11 [26112/47500]	Loss: 0.4166	LR: 0.020000
Training Epoch: 11 [26368/47500]	Loss: 0.3391	LR: 0.020000
Training Epoch: 11 [26624/47500]	Loss: 0.5024	LR: 0.020000
Training Epoch: 11 [26880/47500]	Loss: 0.3886	LR: 0.020000
Training Epoch: 11 [27136/47500]	Loss: 0.4293	LR: 0.020000
Training Epoch: 11 [27392/47500]	Loss: 0.3967	LR: 0.020000
Training Epoch: 11 [27648/47500]	Loss: 0.4714	LR: 0.020000
Training Epoch: 11 [27904/47500]	Loss: 0.3030	LR: 0.020000
Training Epoch: 11 [28160/47500]	Loss: 0.4156	LR: 0.020000
Training Epoch: 11 [28416/47500]	Loss: 0.3569	LR: 0.020000
Training Epoch: 11 [28672/47500]	Loss: 0.2923	LR: 0.020000
Training Epoch: 11 [28928/47500]	Loss: 0.3982	LR: 0.020000
Training Epoch: 11 [29184/47500]	Loss: 0.4285	LR: 0.020000
Training Epoch: 11 [29440/47500]	Loss: 0.4293	LR: 0.020000
Training Epoch: 11 [29696/47500]	Loss: 0.4590	LR: 0.020000
Training Epoch: 11 [29952/47500]	Loss: 0.4037	LR: 0.020000
Training Epoch: 11 [30208/47500]	Loss: 0.3487	LR: 0.020000
Training Epoch: 11 [30464/47500]	Loss: 0.2915	LR: 0.020000
Training Epoch: 11 [30720/47500]	Loss: 0.3127	LR: 0.020000
Training Epoch: 11 [30976/47500]	Loss: 0.5017	LR: 0.020000
Training Epoch: 11 [31232/47500]	Loss: 0.3958	LR: 0.020000
Training Epoch: 11 [31488/47500]	Loss: 0.4003	LR: 0.020000
Training Epoch: 11 [31744/47500]	Loss: 0.5272	LR: 0.020000
Training Epoch: 11 [32000/47500]	Loss: 0.4183	LR: 0.020000
Training Epoch: 11 [32256/47500]	Loss: 0.4915	LR: 0.020000
Training Epoch: 11 [32512/47500]	Loss: 0.5302	LR: 0.020000
Training Epoch: 11 [32768/47500]	Loss: 0.3609	LR: 0.020000
Training Epoch: 11 [33024/47500]	Loss: 0.4711	LR: 0.020000
Training Epoch: 11 [33280/47500]	Loss: 0.3538	LR: 0.020000
Training Epoch: 11 [33536/47500]	Loss: 0.4201	LR: 0.020000
Training Epoch: 11 [33792/47500]	Loss: 0.3820	LR: 0.020000
Training Epoch: 11 [34048/47500]	Loss: 0.3660	LR: 0.020000
Training Epoch: 11 [34304/47500]	Loss: 0.3512	LR: 0.020000
Training Epoch: 11 [34560/47500]	Loss: 0.5006	LR: 0.020000
Training Epoch: 11 [34816/47500]	Loss: 0.4094	LR: 0.020000
Training Epoch: 11 [35072/47500]	Loss: 0.3717	LR: 0.020000
Training Epoch: 11 [35328/47500]	Loss: 0.4208	LR: 0.020000
Training Epoch: 11 [35584/47500]	Loss: 0.4032	LR: 0.020000
Training Epoch: 11 [35840/47500]	Loss: 0.3541	LR: 0.020000
Training Epoch: 11 [36096/47500]	Loss: 0.3848	LR: 0.020000
Training Epoch: 11 [36352/47500]	Loss: 0.3723	LR: 0.020000
Training Epoch: 11 [36608/47500]	Loss: 0.4707	LR: 0.020000
Training Epoch: 11 [36864/47500]	Loss: 0.3470	LR: 0.020000
Training Epoch: 11 [37120/47500]	Loss: 0.4443	LR: 0.020000
Training Epoch: 11 [37376/47500]	Loss: 0.4096	LR: 0.020000
Training Epoch: 11 [37632/47500]	Loss: 0.3803	LR: 0.020000
Training Epoch: 11 [37888/47500]	Loss: 0.3889	LR: 0.020000
Training Epoch: 11 [38144/47500]	Loss: 0.4519	LR: 0.020000
Training Epoch: 11 [38400/47500]	Loss: 0.3486	LR: 0.020000
Training Epoch: 11 [38656/47500]	Loss: 0.3092	LR: 0.020000
Training Epoch: 11 [38912/47500]	Loss: 0.4208	LR: 0.020000
Training Epoch: 11 [39168/47500]	Loss: 0.4201	LR: 0.020000
Training Epoch: 11 [39424/47500]	Loss: 0.4161	LR: 0.020000
Training Epoch: 11 [39680/47500]	Loss: 0.4074	LR: 0.020000
Training Epoch: 11 [39936/47500]	Loss: 0.3212	LR: 0.020000
Training Epoch: 11 [40192/47500]	Loss: 0.4394	LR: 0.020000
Training Epoch: 11 [40448/47500]	Loss: 0.4206	LR: 0.020000
Training Epoch: 11 [40704/47500]	Loss: 0.3659	LR: 0.020000
Training Epoch: 11 [40960/47500]	Loss: 0.4721	LR: 0.020000
Training Epoch: 11 [41216/47500]	Loss: 0.3584	LR: 0.020000
Training Epoch: 11 [41472/47500]	Loss: 0.3880	LR: 0.020000
Training Epoch: 11 [41728/47500]	Loss: 0.2885	LR: 0.020000
Training Epoch: 11 [41984/47500]	Loss: 0.4392	LR: 0.020000
Training Epoch: 11 [42240/47500]	Loss: 0.3728	LR: 0.020000
Training Epoch: 11 [42496/47500]	Loss: 0.4014	LR: 0.020000
Training Epoch: 11 [42752/47500]	Loss: 0.4227	LR: 0.020000
Training Epoch: 11 [43008/47500]	Loss: 0.4451	LR: 0.020000
Training Epoch: 11 [43264/47500]	Loss: 0.4054	LR: 0.020000
Training Epoch: 11 [43520/47500]	Loss: 0.3333	LR: 0.020000
Training Epoch: 11 [43776/47500]	Loss: 0.2632	LR: 0.020000
Training Epoch: 11 [44032/47500]	Loss: 0.3688	LR: 0.020000
Training Epoch: 11 [44288/47500]	Loss: 0.2999	LR: 0.020000
Training Epoch: 11 [44544/47500]	Loss: 0.3880	LR: 0.020000
Training Epoch: 11 [44800/47500]	Loss: 0.4261	LR: 0.020000
Training Epoch: 11 [45056/47500]	Loss: 0.3822	LR: 0.020000
Training Epoch: 11 [45312/47500]	Loss: 0.4502	LR: 0.020000
Training Epoch: 11 [45568/47500]	Loss: 0.3570	LR: 0.020000
Training Epoch: 11 [45824/47500]	Loss: 0.4073	LR: 0.020000
Training Epoch: 11 [46080/47500]	Loss: 0.4212	LR: 0.020000
Training Epoch: 11 [46336/47500]	Loss: 0.3728	LR: 0.020000
Training Epoch: 11 [46592/47500]	Loss: 0.3615	LR: 0.020000
Training Epoch: 11 [46848/47500]	Loss: 0.4045	LR: 0.020000
Training Epoch: 11 [47104/47500]	Loss: 0.3650	LR: 0.020000
Training Epoch: 11 [47360/47500]	Loss: 0.4049	LR: 0.020000
Training Epoch: 11 [47500/47500]	Loss: 0.3189	LR: 0.020000
Epoch 11 - Average Train Loss: 0.3993, Train Accuracy: 0.8623
Epoch 11 training time consumed: 26.70s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0018, Accuracy: 0.8474, Time consumed:0.93s
Training Epoch: 12 [256/47500]	Loss: 0.3926	LR: 0.004000
Training Epoch: 12 [512/47500]	Loss: 0.4155	LR: 0.004000
Training Epoch: 12 [768/47500]	Loss: 0.3930	LR: 0.004000
Training Epoch: 12 [1024/47500]	Loss: 0.3414	LR: 0.004000
Training Epoch: 12 [1280/47500]	Loss: 0.3493	LR: 0.004000
Training Epoch: 12 [1536/47500]	Loss: 0.3380	LR: 0.004000
Training Epoch: 12 [1792/47500]	Loss: 0.3623	LR: 0.004000
Training Epoch: 12 [2048/47500]	Loss: 0.4599	LR: 0.004000
Training Epoch: 12 [2304/47500]	Loss: 0.4057	LR: 0.004000
Training Epoch: 12 [2560/47500]	Loss: 0.3714	LR: 0.004000
Training Epoch: 12 [2816/47500]	Loss: 0.3899	LR: 0.004000
Training Epoch: 12 [3072/47500]	Loss: 0.3381	LR: 0.004000
Training Epoch: 12 [3328/47500]	Loss: 0.4402	LR: 0.004000
Training Epoch: 12 [3584/47500]	Loss: 0.4501	LR: 0.004000
Training Epoch: 12 [3840/47500]	Loss: 0.4058	LR: 0.004000
Training Epoch: 12 [4096/47500]	Loss: 0.3675	LR: 0.004000
Training Epoch: 12 [4352/47500]	Loss: 0.3910	LR: 0.004000
Training Epoch: 12 [4608/47500]	Loss: 0.3578	LR: 0.004000
Training Epoch: 12 [4864/47500]	Loss: 0.4225	LR: 0.004000
Training Epoch: 12 [5120/47500]	Loss: 0.3869	LR: 0.004000
Training Epoch: 12 [5376/47500]	Loss: 0.3451	LR: 0.004000
Training Epoch: 12 [5632/47500]	Loss: 0.4425	LR: 0.004000
Training Epoch: 12 [5888/47500]	Loss: 0.3222	LR: 0.004000
Training Epoch: 12 [6144/47500]	Loss: 0.4589	LR: 0.004000
Training Epoch: 12 [6400/47500]	Loss: 0.3824	LR: 0.004000
Training Epoch: 12 [6656/47500]	Loss: 0.2902	LR: 0.004000
Training Epoch: 12 [6912/47500]	Loss: 0.3526	LR: 0.004000
Training Epoch: 12 [7168/47500]	Loss: 0.4674	LR: 0.004000
Training Epoch: 12 [7424/47500]	Loss: 0.3221	LR: 0.004000
Training Epoch: 12 [7680/47500]	Loss: 0.4060	LR: 0.004000
Training Epoch: 12 [7936/47500]	Loss: 0.2972	LR: 0.004000
Training Epoch: 12 [8192/47500]	Loss: 0.4259	LR: 0.004000
Training Epoch: 12 [8448/47500]	Loss: 0.3616	LR: 0.004000
Training Epoch: 12 [8704/47500]	Loss: 0.3094	LR: 0.004000
Training Epoch: 12 [8960/47500]	Loss: 0.3916	LR: 0.004000
Training Epoch: 12 [9216/47500]	Loss: 0.3581	LR: 0.004000
Training Epoch: 12 [9472/47500]	Loss: 0.4156	LR: 0.004000
Training Epoch: 12 [9728/47500]	Loss: 0.3150	LR: 0.004000
Training Epoch: 12 [9984/47500]	Loss: 0.4073	LR: 0.004000
Training Epoch: 12 [10240/47500]	Loss: 0.3089	LR: 0.004000
Training Epoch: 12 [10496/47500]	Loss: 0.3861	LR: 0.004000
Training Epoch: 12 [10752/47500]	Loss: 0.2821	LR: 0.004000
Training Epoch: 12 [11008/47500]	Loss: 0.3666	LR: 0.004000
Training Epoch: 12 [11264/47500]	Loss: 0.3794	LR: 0.004000
Training Epoch: 12 [11520/47500]	Loss: 0.3075	LR: 0.004000
Training Epoch: 12 [11776/47500]	Loss: 0.3744	LR: 0.004000
Training Epoch: 12 [12032/47500]	Loss: 0.2905	LR: 0.004000
Training Epoch: 12 [12288/47500]	Loss: 0.4380	LR: 0.004000
Training Epoch: 12 [12544/47500]	Loss: 0.2539	LR: 0.004000
Training Epoch: 12 [12800/47500]	Loss: 0.3503	LR: 0.004000
Training Epoch: 12 [13056/47500]	Loss: 0.4131	LR: 0.004000
Training Epoch: 12 [13312/47500]	Loss: 0.3159	LR: 0.004000
Training Epoch: 12 [13568/47500]	Loss: 0.3127	LR: 0.004000
Training Epoch: 12 [13824/47500]	Loss: 0.3778	LR: 0.004000
Training Epoch: 12 [14080/47500]	Loss: 0.3356	LR: 0.004000
Training Epoch: 12 [14336/47500]	Loss: 0.2981	LR: 0.004000
Training Epoch: 12 [14592/47500]	Loss: 0.3008	LR: 0.004000
Training Epoch: 12 [14848/47500]	Loss: 0.4066	LR: 0.004000
Training Epoch: 12 [15104/47500]	Loss: 0.2957	LR: 0.004000
Training Epoch: 12 [15360/47500]	Loss: 0.3843	LR: 0.004000
Training Epoch: 12 [15616/47500]	Loss: 0.3027	LR: 0.004000
Training Epoch: 12 [15872/47500]	Loss: 0.3134	LR: 0.004000
Training Epoch: 12 [16128/47500]	Loss: 0.4349	LR: 0.004000
Training Epoch: 12 [16384/47500]	Loss: 0.3195	LR: 0.004000
Training Epoch: 12 [16640/47500]	Loss: 0.3100	LR: 0.004000
Training Epoch: 12 [16896/47500]	Loss: 0.3187	LR: 0.004000
Training Epoch: 12 [17152/47500]	Loss: 0.3347	LR: 0.004000
Training Epoch: 12 [17408/47500]	Loss: 0.3426	LR: 0.004000
Training Epoch: 12 [17664/47500]	Loss: 0.3648	LR: 0.004000
Training Epoch: 12 [17920/47500]	Loss: 0.4152	LR: 0.004000
Training Epoch: 12 [18176/47500]	Loss: 0.3126	LR: 0.004000
Training Epoch: 12 [18432/47500]	Loss: 0.4333	LR: 0.004000
Training Epoch: 12 [18688/47500]	Loss: 0.4560	LR: 0.004000
Training Epoch: 12 [18944/47500]	Loss: 0.4038	LR: 0.004000
Training Epoch: 12 [19200/47500]	Loss: 0.3727	LR: 0.004000
Training Epoch: 12 [19456/47500]	Loss: 0.3603	LR: 0.004000
Training Epoch: 12 [19712/47500]	Loss: 0.2567	LR: 0.004000
Training Epoch: 12 [19968/47500]	Loss: 0.4293	LR: 0.004000
Training Epoch: 12 [20224/47500]	Loss: 0.4444	LR: 0.004000
Training Epoch: 12 [20480/47500]	Loss: 0.3809	LR: 0.004000
Training Epoch: 12 [20736/47500]	Loss: 0.3300	LR: 0.004000
Training Epoch: 12 [20992/47500]	Loss: 0.3363	LR: 0.004000
Training Epoch: 12 [21248/47500]	Loss: 0.4289	LR: 0.004000
Training Epoch: 12 [21504/47500]	Loss: 0.3619	LR: 0.004000
Training Epoch: 12 [21760/47500]	Loss: 0.3156	LR: 0.004000
Training Epoch: 12 [22016/47500]	Loss: 0.2982	LR: 0.004000
Training Epoch: 12 [22272/47500]	Loss: 0.3943	LR: 0.004000
Training Epoch: 12 [22528/47500]	Loss: 0.3309	LR: 0.004000
Training Epoch: 12 [22784/47500]	Loss: 0.3261	LR: 0.004000
Training Epoch: 12 [23040/47500]	Loss: 0.3846	LR: 0.004000
Training Epoch: 12 [23296/47500]	Loss: 0.3100	LR: 0.004000
Training Epoch: 12 [23552/47500]	Loss: 0.3195	LR: 0.004000
Training Epoch: 12 [23808/47500]	Loss: 0.3057	LR: 0.004000
Training Epoch: 12 [24064/47500]	Loss: 0.2883	LR: 0.004000
Training Epoch: 12 [24320/47500]	Loss: 0.3737	LR: 0.004000
Training Epoch: 12 [24576/47500]	Loss: 0.3991	LR: 0.004000
Training Epoch: 12 [24832/47500]	Loss: 0.3808	LR: 0.004000
Training Epoch: 12 [25088/47500]	Loss: 0.3837	LR: 0.004000
Training Epoch: 12 [25344/47500]	Loss: 0.3136	LR: 0.004000
Training Epoch: 12 [25600/47500]	Loss: 0.3289	LR: 0.004000
Training Epoch: 12 [25856/47500]	Loss: 0.5090	LR: 0.004000
Training Epoch: 12 [26112/47500]	Loss: 0.3386	LR: 0.004000
Training Epoch: 12 [26368/47500]	Loss: 0.3828	LR: 0.004000
Training Epoch: 12 [26624/47500]	Loss: 0.3699	LR: 0.004000
Training Epoch: 12 [26880/47500]	Loss: 0.3565	LR: 0.004000
Training Epoch: 12 [27136/47500]	Loss: 0.3845	LR: 0.004000
Training Epoch: 12 [27392/47500]	Loss: 0.5284	LR: 0.004000
Training Epoch: 12 [27648/47500]	Loss: 0.4466	LR: 0.004000
Training Epoch: 12 [27904/47500]	Loss: 0.3426	LR: 0.004000
Training Epoch: 12 [28160/47500]	Loss: 0.3348	LR: 0.004000
Training Epoch: 12 [28416/47500]	Loss: 0.3776	LR: 0.004000
Training Epoch: 12 [28672/47500]	Loss: 0.2756	LR: 0.004000
Training Epoch: 12 [28928/47500]	Loss: 0.2997	LR: 0.004000
Training Epoch: 12 [29184/47500]	Loss: 0.3810	LR: 0.004000
Training Epoch: 12 [29440/47500]	Loss: 0.3517	LR: 0.004000
Training Epoch: 12 [29696/47500]	Loss: 0.3254	LR: 0.004000
Training Epoch: 12 [29952/47500]	Loss: 0.3433	LR: 0.004000
Training Epoch: 12 [30208/47500]	Loss: 0.2719	LR: 0.004000
Training Epoch: 12 [30464/47500]	Loss: 0.4520	LR: 0.004000
Training Epoch: 12 [30720/47500]	Loss: 0.3116	LR: 0.004000
Training Epoch: 12 [30976/47500]	Loss: 0.3376	LR: 0.004000
Training Epoch: 12 [31232/47500]	Loss: 0.4133	LR: 0.004000
Training Epoch: 12 [31488/47500]	Loss: 0.2859	LR: 0.004000
Training Epoch: 12 [31744/47500]	Loss: 0.3590	LR: 0.004000
Training Epoch: 12 [32000/47500]	Loss: 0.3190	LR: 0.004000
Training Epoch: 12 [32256/47500]	Loss: 0.4143	LR: 0.004000
Training Epoch: 12 [32512/47500]	Loss: 0.3863	LR: 0.004000
Training Epoch: 12 [32768/47500]	Loss: 0.2944	LR: 0.004000
Training Epoch: 12 [33024/47500]	Loss: 0.3617	LR: 0.004000
Training Epoch: 12 [33280/47500]	Loss: 0.2906	LR: 0.004000
Training Epoch: 12 [33536/47500]	Loss: 0.3810	LR: 0.004000
Training Epoch: 12 [33792/47500]	Loss: 0.3100	LR: 0.004000
Training Epoch: 12 [34048/47500]	Loss: 0.3118	LR: 0.004000
Training Epoch: 12 [34304/47500]	Loss: 0.2373	LR: 0.004000
Training Epoch: 12 [34560/47500]	Loss: 0.4009	LR: 0.004000
Training Epoch: 12 [34816/47500]	Loss: 0.2932	LR: 0.004000
Training Epoch: 12 [35072/47500]	Loss: 0.2916	LR: 0.004000
Training Epoch: 12 [35328/47500]	Loss: 0.4188	LR: 0.004000
Training Epoch: 12 [35584/47500]	Loss: 0.3218	LR: 0.004000
Training Epoch: 12 [35840/47500]	Loss: 0.2914	LR: 0.004000
Training Epoch: 12 [36096/47500]	Loss: 0.3454	LR: 0.004000
Training Epoch: 12 [36352/47500]	Loss: 0.2979	LR: 0.004000
Training Epoch: 12 [36608/47500]	Loss: 0.3598	LR: 0.004000
Training Epoch: 12 [36864/47500]	Loss: 0.3773	LR: 0.004000
Training Epoch: 12 [37120/47500]	Loss: 0.3913	LR: 0.004000
Training Epoch: 12 [37376/47500]	Loss: 0.4251	LR: 0.004000
Training Epoch: 12 [37632/47500]	Loss: 0.3428	LR: 0.004000
Training Epoch: 12 [37888/47500]	Loss: 0.3012	LR: 0.004000
Training Epoch: 12 [38144/47500]	Loss: 0.3072	LR: 0.004000
Training Epoch: 12 [38400/47500]	Loss: 0.2957	LR: 0.004000
Training Epoch: 12 [38656/47500]	Loss: 0.3725	LR: 0.004000
Training Epoch: 12 [38912/47500]	Loss: 0.3910	LR: 0.004000
Training Epoch: 12 [39168/47500]	Loss: 0.3901	LR: 0.004000
Training Epoch: 12 [39424/47500]	Loss: 0.3116	LR: 0.004000
Training Epoch: 12 [39680/47500]	Loss: 0.3653	LR: 0.004000
Training Epoch: 12 [39936/47500]	Loss: 0.3462	LR: 0.004000
Training Epoch: 12 [40192/47500]	Loss: 0.3524	LR: 0.004000
Training Epoch: 12 [40448/47500]	Loss: 0.3854	LR: 0.004000
Training Epoch: 12 [40704/47500]	Loss: 0.3231	LR: 0.004000
Training Epoch: 12 [40960/47500]	Loss: 0.4300	LR: 0.004000
Training Epoch: 12 [41216/47500]	Loss: 0.3043	LR: 0.004000
Training Epoch: 12 [41472/47500]	Loss: 0.3199	LR: 0.004000
Training Epoch: 12 [41728/47500]	Loss: 0.3491	LR: 0.004000
Training Epoch: 12 [41984/47500]	Loss: 0.3053	LR: 0.004000
Training Epoch: 12 [42240/47500]	Loss: 0.2789	LR: 0.004000
Training Epoch: 12 [42496/47500]	Loss: 0.3006	LR: 0.004000
Training Epoch: 12 [42752/47500]	Loss: 0.3532	LR: 0.004000
Training Epoch: 12 [43008/47500]	Loss: 0.3886	LR: 0.004000
Training Epoch: 12 [43264/47500]	Loss: 0.4342	LR: 0.004000
Training Epoch: 12 [43520/47500]	Loss: 0.3404	LR: 0.004000
Training Epoch: 12 [43776/47500]	Loss: 0.4019	LR: 0.004000
Training Epoch: 12 [44032/47500]	Loss: 0.2466	LR: 0.004000
Training Epoch: 12 [44288/47500]	Loss: 0.3686	LR: 0.004000
Training Epoch: 12 [44544/47500]	Loss: 0.3784	LR: 0.004000
Training Epoch: 12 [44800/47500]	Loss: 0.3336	LR: 0.004000
Training Epoch: 12 [45056/47500]	Loss: 0.3569	LR: 0.004000
Training Epoch: 12 [45312/47500]	Loss: 0.3689	LR: 0.004000
Training Epoch: 12 [45568/47500]	Loss: 0.3658	LR: 0.004000
Training Epoch: 12 [45824/47500]	Loss: 0.3427	LR: 0.004000
Training Epoch: 12 [46080/47500]	Loss: 0.3150	LR: 0.004000
Training Epoch: 12 [46336/47500]	Loss: 0.4144	LR: 0.004000
Training Epoch: 12 [46592/47500]	Loss: 0.3654	LR: 0.004000
Training Epoch: 12 [46848/47500]	Loss: 0.2547	LR: 0.004000
Training Epoch: 12 [47104/47500]	Loss: 0.2982	LR: 0.004000
Training Epoch: 12 [47360/47500]	Loss: 0.3116	LR: 0.004000
Training Epoch: 12 [47500/47500]	Loss: 0.3073	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3564, Train Accuracy: 0.8769
Epoch 12 training time consumed: 26.66s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0015, Accuracy: 0.8648, Time consumed:0.92s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_02h_13m_37s/AllCNN-Cifar10-seed9-ret50-12-best.pth
Training Epoch: 13 [256/47500]	Loss: 0.3049	LR: 0.004000
Training Epoch: 13 [512/47500]	Loss: 0.3145	LR: 0.004000
Training Epoch: 13 [768/47500]	Loss: 0.3190	LR: 0.004000
Training Epoch: 13 [1024/47500]	Loss: 0.3588	LR: 0.004000
Training Epoch: 13 [1280/47500]	Loss: 0.3163	LR: 0.004000
Training Epoch: 13 [1536/47500]	Loss: 0.3283	LR: 0.004000
Training Epoch: 13 [1792/47500]	Loss: 0.3799	LR: 0.004000
Training Epoch: 13 [2048/47500]	Loss: 0.3329	LR: 0.004000
Training Epoch: 13 [2304/47500]	Loss: 0.3739	LR: 0.004000
Training Epoch: 13 [2560/47500]	Loss: 0.3419	LR: 0.004000
Training Epoch: 13 [2816/47500]	Loss: 0.4072	LR: 0.004000
Training Epoch: 13 [3072/47500]	Loss: 0.3230	LR: 0.004000
Training Epoch: 13 [3328/47500]	Loss: 0.3100	LR: 0.004000
Training Epoch: 13 [3584/47500]	Loss: 0.3467	LR: 0.004000
Training Epoch: 13 [3840/47500]	Loss: 0.2775	LR: 0.004000
Training Epoch: 13 [4096/47500]	Loss: 0.3640	LR: 0.004000
Training Epoch: 13 [4352/47500]	Loss: 0.3733	LR: 0.004000
Training Epoch: 13 [4608/47500]	Loss: 0.3261	LR: 0.004000
Training Epoch: 13 [4864/47500]	Loss: 0.3019	LR: 0.004000
Training Epoch: 13 [5120/47500]	Loss: 0.3663	LR: 0.004000
Training Epoch: 13 [5376/47500]	Loss: 0.3466	LR: 0.004000
Training Epoch: 13 [5632/47500]	Loss: 0.3020	LR: 0.004000
Training Epoch: 13 [5888/47500]	Loss: 0.3587	LR: 0.004000
Training Epoch: 13 [6144/47500]	Loss: 0.3148	LR: 0.004000
Training Epoch: 13 [6400/47500]	Loss: 0.3481	LR: 0.004000
Training Epoch: 13 [6656/47500]	Loss: 0.3519	LR: 0.004000
Training Epoch: 13 [6912/47500]	Loss: 0.4032	LR: 0.004000
Training Epoch: 13 [7168/47500]	Loss: 0.3587	LR: 0.004000
Training Epoch: 13 [7424/47500]	Loss: 0.5156	LR: 0.004000
Training Epoch: 13 [7680/47500]	Loss: 0.3095	LR: 0.004000
Training Epoch: 13 [7936/47500]	Loss: 0.3754	LR: 0.004000
Training Epoch: 13 [8192/47500]	Loss: 0.2938	LR: 0.004000
Training Epoch: 13 [8448/47500]	Loss: 0.3317	LR: 0.004000
Training Epoch: 13 [8704/47500]	Loss: 0.3198	LR: 0.004000
Training Epoch: 13 [8960/47500]	Loss: 0.3835	LR: 0.004000
Training Epoch: 13 [9216/47500]	Loss: 0.3188	LR: 0.004000
Training Epoch: 13 [9472/47500]	Loss: 0.3591	LR: 0.004000
Training Epoch: 13 [9728/47500]	Loss: 0.3650	LR: 0.004000
Training Epoch: 13 [9984/47500]	Loss: 0.3863	LR: 0.004000
Training Epoch: 13 [10240/47500]	Loss: 0.3329	LR: 0.004000
Training Epoch: 13 [10496/47500]	Loss: 0.3739	LR: 0.004000
Training Epoch: 13 [10752/47500]	Loss: 0.3210	LR: 0.004000
Training Epoch: 13 [11008/47500]	Loss: 0.2837	LR: 0.004000
Training Epoch: 13 [11264/47500]	Loss: 0.3820	LR: 0.004000
Training Epoch: 13 [11520/47500]	Loss: 0.3921	LR: 0.004000
Training Epoch: 13 [11776/47500]	Loss: 0.3449	LR: 0.004000
Training Epoch: 13 [12032/47500]	Loss: 0.4225	LR: 0.004000
Training Epoch: 13 [12288/47500]	Loss: 0.3513	LR: 0.004000
Training Epoch: 13 [12544/47500]	Loss: 0.3592	LR: 0.004000
Training Epoch: 13 [12800/47500]	Loss: 0.3321	LR: 0.004000
Training Epoch: 13 [13056/47500]	Loss: 0.3422	LR: 0.004000
Training Epoch: 13 [13312/47500]	Loss: 0.2912	LR: 0.004000
Training Epoch: 13 [13568/47500]	Loss: 0.3794	LR: 0.004000
Training Epoch: 13 [13824/47500]	Loss: 0.3869	LR: 0.004000
Training Epoch: 13 [14080/47500]	Loss: 0.3499	LR: 0.004000
Training Epoch: 13 [14336/47500]	Loss: 0.3453	LR: 0.004000
Training Epoch: 13 [14592/47500]	Loss: 0.2976	LR: 0.004000
Training Epoch: 13 [14848/47500]	Loss: 0.3776	LR: 0.004000
Training Epoch: 13 [15104/47500]	Loss: 0.3465	LR: 0.004000
Training Epoch: 13 [15360/47500]	Loss: 0.3184	LR: 0.004000
Training Epoch: 13 [15616/47500]	Loss: 0.3538	LR: 0.004000
Training Epoch: 13 [15872/47500]	Loss: 0.3417	LR: 0.004000
Training Epoch: 13 [16128/47500]	Loss: 0.3075	LR: 0.004000
Training Epoch: 13 [16384/47500]	Loss: 0.2841	LR: 0.004000
Training Epoch: 13 [16640/47500]	Loss: 0.2893	LR: 0.004000
Training Epoch: 13 [16896/47500]	Loss: 0.3455	LR: 0.004000
Training Epoch: 13 [17152/47500]	Loss: 0.3236	LR: 0.004000
Training Epoch: 13 [17408/47500]	Loss: 0.3372	LR: 0.004000
Training Epoch: 13 [17664/47500]	Loss: 0.2779	LR: 0.004000
Training Epoch: 13 [17920/47500]	Loss: 0.3892	LR: 0.004000
Training Epoch: 13 [18176/47500]	Loss: 0.3434	LR: 0.004000
Training Epoch: 13 [18432/47500]	Loss: 0.3083	LR: 0.004000
Training Epoch: 13 [18688/47500]	Loss: 0.2067	LR: 0.004000
Training Epoch: 13 [18944/47500]	Loss: 0.3131	LR: 0.004000
Training Epoch: 13 [19200/47500]	Loss: 0.3572	LR: 0.004000
Training Epoch: 13 [19456/47500]	Loss: 0.3670	LR: 0.004000
Training Epoch: 13 [19712/47500]	Loss: 0.3082	LR: 0.004000
Training Epoch: 13 [19968/47500]	Loss: 0.3285	LR: 0.004000
Training Epoch: 13 [20224/47500]	Loss: 0.2827	LR: 0.004000
Training Epoch: 13 [20480/47500]	Loss: 0.3569	LR: 0.004000
Training Epoch: 13 [20736/47500]	Loss: 0.3346	LR: 0.004000
Training Epoch: 13 [20992/47500]	Loss: 0.3076	LR: 0.004000
Training Epoch: 13 [21248/47500]	Loss: 0.3275	LR: 0.004000
Training Epoch: 13 [21504/47500]	Loss: 0.3202	LR: 0.004000
Training Epoch: 13 [21760/47500]	Loss: 0.3183	LR: 0.004000
Training Epoch: 13 [22016/47500]	Loss: 0.4368	LR: 0.004000
Training Epoch: 13 [22272/47500]	Loss: 0.3351	LR: 0.004000
Training Epoch: 13 [22528/47500]	Loss: 0.3226	LR: 0.004000
Training Epoch: 13 [22784/47500]	Loss: 0.3398	LR: 0.004000
Training Epoch: 13 [23040/47500]	Loss: 0.3259	LR: 0.004000
Training Epoch: 13 [23296/47500]	Loss: 0.3721	LR: 0.004000
Training Epoch: 13 [23552/47500]	Loss: 0.2249	LR: 0.004000
Training Epoch: 13 [23808/47500]	Loss: 0.3319	LR: 0.004000
Training Epoch: 13 [24064/47500]	Loss: 0.3647	LR: 0.004000
Training Epoch: 13 [24320/47500]	Loss: 0.3191	LR: 0.004000
Training Epoch: 13 [24576/47500]	Loss: 0.3772	LR: 0.004000
Training Epoch: 13 [24832/47500]	Loss: 0.2964	LR: 0.004000
Training Epoch: 13 [25088/47500]	Loss: 0.3062	LR: 0.004000
Training Epoch: 13 [25344/47500]	Loss: 0.3687	LR: 0.004000
Training Epoch: 13 [25600/47500]	Loss: 0.2864	LR: 0.004000
Training Epoch: 13 [25856/47500]	Loss: 0.2703	LR: 0.004000
Training Epoch: 13 [26112/47500]	Loss: 0.3443	LR: 0.004000
Training Epoch: 13 [26368/47500]	Loss: 0.3187	LR: 0.004000
Training Epoch: 13 [26624/47500]	Loss: 0.3332	LR: 0.004000
Training Epoch: 13 [26880/47500]	Loss: 0.3661	LR: 0.004000
Training Epoch: 13 [27136/47500]	Loss: 0.2873	LR: 0.004000
Training Epoch: 13 [27392/47500]	Loss: 0.3449	LR: 0.004000
Training Epoch: 13 [27648/47500]	Loss: 0.2904	LR: 0.004000
Training Epoch: 13 [27904/47500]	Loss: 0.3745	LR: 0.004000
Training Epoch: 13 [28160/47500]	Loss: 0.3604	LR: 0.004000
Training Epoch: 13 [28416/47500]	Loss: 0.3049	LR: 0.004000
Training Epoch: 13 [28672/47500]	Loss: 0.3694	LR: 0.004000
Training Epoch: 13 [28928/47500]	Loss: 0.3619	LR: 0.004000
Training Epoch: 13 [29184/47500]	Loss: 0.3122	LR: 0.004000
Training Epoch: 13 [29440/47500]	Loss: 0.3597	LR: 0.004000
Training Epoch: 13 [29696/47500]	Loss: 0.4087	LR: 0.004000
Training Epoch: 13 [29952/47500]	Loss: 0.3114	LR: 0.004000
Training Epoch: 13 [30208/47500]	Loss: 0.2456	LR: 0.004000
Training Epoch: 13 [30464/47500]	Loss: 0.3464	LR: 0.004000
Training Epoch: 13 [30720/47500]	Loss: 0.3215	LR: 0.004000
Training Epoch: 13 [30976/47500]	Loss: 0.3693	LR: 0.004000
Training Epoch: 13 [31232/47500]	Loss: 0.3133	LR: 0.004000
Training Epoch: 13 [31488/47500]	Loss: 0.4200	LR: 0.004000
Training Epoch: 13 [31744/47500]	Loss: 0.2739	LR: 0.004000
Training Epoch: 13 [32000/47500]	Loss: 0.2968	LR: 0.004000
Training Epoch: 13 [32256/47500]	Loss: 0.2639	LR: 0.004000
Training Epoch: 13 [32512/47500]	Loss: 0.3859	LR: 0.004000
Training Epoch: 13 [32768/47500]	Loss: 0.2494	LR: 0.004000
Training Epoch: 13 [33024/47500]	Loss: 0.3635	LR: 0.004000
Training Epoch: 13 [33280/47500]	Loss: 0.3359	LR: 0.004000
Training Epoch: 13 [33536/47500]	Loss: 0.3315	LR: 0.004000
Training Epoch: 13 [33792/47500]	Loss: 0.3687	LR: 0.004000
Training Epoch: 13 [34048/47500]	Loss: 0.3521	LR: 0.004000
Training Epoch: 13 [34304/47500]	Loss: 0.3094	LR: 0.004000
Training Epoch: 13 [34560/47500]	Loss: 0.2754	LR: 0.004000
Training Epoch: 13 [34816/47500]	Loss: 0.3508	LR: 0.004000
Training Epoch: 13 [35072/47500]	Loss: 0.3358	LR: 0.004000
Training Epoch: 13 [35328/47500]	Loss: 0.3523	LR: 0.004000
Training Epoch: 13 [35584/47500]	Loss: 0.2987	LR: 0.004000
Training Epoch: 13 [35840/47500]	Loss: 0.4339	LR: 0.004000
Training Epoch: 13 [36096/47500]	Loss: 0.4119	LR: 0.004000
Training Epoch: 13 [36352/47500]	Loss: 0.3272	LR: 0.004000
Training Epoch: 13 [36608/47500]	Loss: 0.4006	LR: 0.004000
Training Epoch: 13 [36864/47500]	Loss: 0.3725	LR: 0.004000
Training Epoch: 13 [37120/47500]	Loss: 0.4050	LR: 0.004000
Training Epoch: 13 [37376/47500]	Loss: 0.2747	LR: 0.004000
Training Epoch: 13 [37632/47500]	Loss: 0.3141	LR: 0.004000
Training Epoch: 13 [37888/47500]	Loss: 0.2935	LR: 0.004000
Training Epoch: 13 [38144/47500]	Loss: 0.3334	LR: 0.004000
Training Epoch: 13 [38400/47500]	Loss: 0.3664	LR: 0.004000
Training Epoch: 13 [38656/47500]	Loss: 0.3453	LR: 0.004000
Training Epoch: 13 [38912/47500]	Loss: 0.3431	LR: 0.004000
Training Epoch: 13 [39168/47500]	Loss: 0.4056	LR: 0.004000
Training Epoch: 13 [39424/47500]	Loss: 0.3726	LR: 0.004000
Training Epoch: 13 [39680/47500]	Loss: 0.3785	LR: 0.004000
Training Epoch: 13 [39936/47500]	Loss: 0.3098	LR: 0.004000
Training Epoch: 13 [40192/47500]	Loss: 0.3120	LR: 0.004000
Training Epoch: 13 [40448/47500]	Loss: 0.3864	LR: 0.004000
Training Epoch: 13 [40704/47500]	Loss: 0.3958	LR: 0.004000
Training Epoch: 13 [40960/47500]	Loss: 0.3083	LR: 0.004000
Training Epoch: 13 [41216/47500]	Loss: 0.3544	LR: 0.004000
Training Epoch: 13 [41472/47500]	Loss: 0.3837	LR: 0.004000
Training Epoch: 13 [41728/47500]	Loss: 0.4065	LR: 0.004000
Training Epoch: 13 [41984/47500]	Loss: 0.2726	LR: 0.004000
Training Epoch: 13 [42240/47500]	Loss: 0.3997	LR: 0.004000
Training Epoch: 13 [42496/47500]	Loss: 0.3832	LR: 0.004000
Training Epoch: 13 [42752/47500]	Loss: 0.3953	LR: 0.004000
Training Epoch: 13 [43008/47500]	Loss: 0.3180	LR: 0.004000
Training Epoch: 13 [43264/47500]	Loss: 0.3487	LR: 0.004000
Training Epoch: 13 [43520/47500]	Loss: 0.3439	LR: 0.004000
Training Epoch: 13 [43776/47500]	Loss: 0.3356	LR: 0.004000
Training Epoch: 13 [44032/47500]	Loss: 0.3661	LR: 0.004000
Training Epoch: 13 [44288/47500]	Loss: 0.3771	LR: 0.004000
Training Epoch: 13 [44544/47500]	Loss: 0.2814	LR: 0.004000
Training Epoch: 13 [44800/47500]	Loss: 0.4188	LR: 0.004000
Training Epoch: 13 [45056/47500]	Loss: 0.3702	LR: 0.004000
Training Epoch: 13 [45312/47500]	Loss: 0.3436	LR: 0.004000
Training Epoch: 13 [45568/47500]	Loss: 0.3113	LR: 0.004000
Training Epoch: 13 [45824/47500]	Loss: 0.2794	LR: 0.004000
Training Epoch: 13 [46080/47500]	Loss: 0.3255	LR: 0.004000
Training Epoch: 13 [46336/47500]	Loss: 0.3490	LR: 0.004000
Training Epoch: 13 [46592/47500]	Loss: 0.3290	LR: 0.004000
Training Epoch: 13 [46848/47500]	Loss: 0.2918	LR: 0.004000
Training Epoch: 13 [47104/47500]	Loss: 0.3215	LR: 0.004000
Training Epoch: 13 [47360/47500]	Loss: 0.3644	LR: 0.004000
Training Epoch: 13 [47500/47500]	Loss: 0.3528	LR: 0.004000
Epoch 13 - Average Train Loss: 0.3401, Train Accuracy: 0.8835
Epoch 13 training time consumed: 26.62s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0015, Accuracy: 0.8671, Time consumed:0.97s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_02h_13m_37s/AllCNN-Cifar10-seed9-ret50-13-best.pth
Training Epoch: 14 [256/47500]	Loss: 0.2662	LR: 0.004000
Training Epoch: 14 [512/47500]	Loss: 0.3585	LR: 0.004000
Training Epoch: 14 [768/47500]	Loss: 0.2983	LR: 0.004000
Training Epoch: 14 [1024/47500]	Loss: 0.2916	LR: 0.004000
Training Epoch: 14 [1280/47500]	Loss: 0.4050	LR: 0.004000
Training Epoch: 14 [1536/47500]	Loss: 0.3220	LR: 0.004000
Training Epoch: 14 [1792/47500]	Loss: 0.3646	LR: 0.004000
Training Epoch: 14 [2048/47500]	Loss: 0.3258	LR: 0.004000
Training Epoch: 14 [2304/47500]	Loss: 0.2715	LR: 0.004000
Training Epoch: 14 [2560/47500]	Loss: 0.3666	LR: 0.004000
Training Epoch: 14 [2816/47500]	Loss: 0.3233	LR: 0.004000
Training Epoch: 14 [3072/47500]	Loss: 0.3322	LR: 0.004000
Training Epoch: 14 [3328/47500]	Loss: 0.3004	LR: 0.004000
Training Epoch: 14 [3584/47500]	Loss: 0.2452	LR: 0.004000
Training Epoch: 14 [3840/47500]	Loss: 0.3212	LR: 0.004000
Training Epoch: 14 [4096/47500]	Loss: 0.3106	LR: 0.004000
Training Epoch: 14 [4352/47500]	Loss: 0.2675	LR: 0.004000
Training Epoch: 14 [4608/47500]	Loss: 0.2985	LR: 0.004000
Training Epoch: 14 [4864/47500]	Loss: 0.2914	LR: 0.004000
Training Epoch: 14 [5120/47500]	Loss: 0.3272	LR: 0.004000
Training Epoch: 14 [5376/47500]	Loss: 0.3951	LR: 0.004000
Training Epoch: 14 [5632/47500]	Loss: 0.3193	LR: 0.004000
Training Epoch: 14 [5888/47500]	Loss: 0.4072	LR: 0.004000
Training Epoch: 14 [6144/47500]	Loss: 0.3260	LR: 0.004000
Training Epoch: 14 [6400/47500]	Loss: 0.3811	LR: 0.004000
Training Epoch: 14 [6656/47500]	Loss: 0.2581	LR: 0.004000
Training Epoch: 14 [6912/47500]	Loss: 0.2724	LR: 0.004000
Training Epoch: 14 [7168/47500]	Loss: 0.3637	LR: 0.004000
Training Epoch: 14 [7424/47500]	Loss: 0.3071	LR: 0.004000
Training Epoch: 14 [7680/47500]	Loss: 0.3408	LR: 0.004000
Training Epoch: 14 [7936/47500]	Loss: 0.3531	LR: 0.004000
Training Epoch: 14 [8192/47500]	Loss: 0.3348	LR: 0.004000
Training Epoch: 14 [8448/47500]	Loss: 0.3185	LR: 0.004000
Training Epoch: 14 [8704/47500]	Loss: 0.3225	LR: 0.004000
Training Epoch: 14 [8960/47500]	Loss: 0.3200	LR: 0.004000
Training Epoch: 14 [9216/47500]	Loss: 0.3046	LR: 0.004000
Training Epoch: 14 [9472/47500]	Loss: 0.3533	LR: 0.004000
Training Epoch: 14 [9728/47500]	Loss: 0.3627	LR: 0.004000
Training Epoch: 14 [9984/47500]	Loss: 0.3712	LR: 0.004000
Training Epoch: 14 [10240/47500]	Loss: 0.2652	LR: 0.004000
Training Epoch: 14 [10496/47500]	Loss: 0.3343	LR: 0.004000
Training Epoch: 14 [10752/47500]	Loss: 0.3068	LR: 0.004000
Training Epoch: 14 [11008/47500]	Loss: 0.3072	LR: 0.004000
Training Epoch: 14 [11264/47500]	Loss: 0.3693	LR: 0.004000
Training Epoch: 14 [11520/47500]	Loss: 0.2875	LR: 0.004000
Training Epoch: 14 [11776/47500]	Loss: 0.3621	LR: 0.004000
Training Epoch: 14 [12032/47500]	Loss: 0.3592	LR: 0.004000
Training Epoch: 14 [12288/47500]	Loss: 0.2610	LR: 0.004000
Training Epoch: 14 [12544/47500]	Loss: 0.3637	LR: 0.004000
Training Epoch: 14 [12800/47500]	Loss: 0.2879	LR: 0.004000
Training Epoch: 14 [13056/47500]	Loss: 0.3264	LR: 0.004000
Training Epoch: 14 [13312/47500]	Loss: 0.3800	LR: 0.004000
Training Epoch: 14 [13568/47500]	Loss: 0.4355	LR: 0.004000
Training Epoch: 14 [13824/47500]	Loss: 0.3018	LR: 0.004000
Training Epoch: 14 [14080/47500]	Loss: 0.4090	LR: 0.004000
Training Epoch: 14 [14336/47500]	Loss: 0.2740	LR: 0.004000
Training Epoch: 14 [14592/47500]	Loss: 0.4125	LR: 0.004000
Training Epoch: 14 [14848/47500]	Loss: 0.4173	LR: 0.004000
Training Epoch: 14 [15104/47500]	Loss: 0.3454	LR: 0.004000
Training Epoch: 14 [15360/47500]	Loss: 0.3538	LR: 0.004000
Training Epoch: 14 [15616/47500]	Loss: 0.4199	LR: 0.004000
Training Epoch: 14 [15872/47500]	Loss: 0.3371	LR: 0.004000
Training Epoch: 14 [16128/47500]	Loss: 0.3558	LR: 0.004000
Training Epoch: 14 [16384/47500]	Loss: 0.2838	LR: 0.004000
Training Epoch: 14 [16640/47500]	Loss: 0.3620	LR: 0.004000
Training Epoch: 14 [16896/47500]	Loss: 0.3873	LR: 0.004000
Training Epoch: 14 [17152/47500]	Loss: 0.3865	LR: 0.004000
Training Epoch: 14 [17408/47500]	Loss: 0.3603	LR: 0.004000
Training Epoch: 14 [17664/47500]	Loss: 0.3871	LR: 0.004000
Training Epoch: 14 [17920/47500]	Loss: 0.3413	LR: 0.004000
Training Epoch: 14 [18176/47500]	Loss: 0.3129	LR: 0.004000
Training Epoch: 14 [18432/47500]	Loss: 0.3509	LR: 0.004000
Training Epoch: 14 [18688/47500]	Loss: 0.3488	LR: 0.004000
Training Epoch: 14 [18944/47500]	Loss: 0.3322	LR: 0.004000
Training Epoch: 14 [19200/47500]	Loss: 0.3385	LR: 0.004000
Training Epoch: 14 [19456/47500]	Loss: 0.3295	LR: 0.004000
Training Epoch: 14 [19712/47500]	Loss: 0.3244	LR: 0.004000
Training Epoch: 14 [19968/47500]	Loss: 0.2739	LR: 0.004000
Training Epoch: 14 [20224/47500]	Loss: 0.3409	LR: 0.004000
Training Epoch: 14 [20480/47500]	Loss: 0.4320	LR: 0.004000
Training Epoch: 14 [20736/47500]	Loss: 0.3065	LR: 0.004000
Training Epoch: 14 [20992/47500]	Loss: 0.4268	LR: 0.004000
Training Epoch: 14 [21248/47500]	Loss: 0.3456	LR: 0.004000
Training Epoch: 14 [21504/47500]	Loss: 0.3508	LR: 0.004000
Training Epoch: 14 [21760/47500]	Loss: 0.3636	LR: 0.004000
Training Epoch: 14 [22016/47500]	Loss: 0.2909	LR: 0.004000
Training Epoch: 14 [22272/47500]	Loss: 0.3821	LR: 0.004000
Training Epoch: 14 [22528/47500]	Loss: 0.3184	LR: 0.004000
Training Epoch: 14 [22784/47500]	Loss: 0.3403	LR: 0.004000
Training Epoch: 14 [23040/47500]	Loss: 0.3966	LR: 0.004000
Training Epoch: 14 [23296/47500]	Loss: 0.3472	LR: 0.004000
Training Epoch: 14 [23552/47500]	Loss: 0.2990	LR: 0.004000
Training Epoch: 14 [23808/47500]	Loss: 0.3763	LR: 0.004000
Training Epoch: 14 [24064/47500]	Loss: 0.3568	LR: 0.004000
Training Epoch: 14 [24320/47500]	Loss: 0.3847	LR: 0.004000
Training Epoch: 14 [24576/47500]	Loss: 0.3163	LR: 0.004000
Training Epoch: 14 [24832/47500]	Loss: 0.2206	LR: 0.004000
Training Epoch: 14 [25088/47500]	Loss: 0.3593	LR: 0.004000
Training Epoch: 14 [25344/47500]	Loss: 0.4021	LR: 0.004000
Training Epoch: 14 [25600/47500]	Loss: 0.2886	LR: 0.004000
Training Epoch: 14 [25856/47500]	Loss: 0.3196	LR: 0.004000
Training Epoch: 14 [26112/47500]	Loss: 0.3695	LR: 0.004000
Training Epoch: 14 [26368/47500]	Loss: 0.3410	LR: 0.004000
Training Epoch: 14 [26624/47500]	Loss: 0.3096	LR: 0.004000
Training Epoch: 14 [26880/47500]	Loss: 0.3557	LR: 0.004000
Training Epoch: 14 [27136/47500]	Loss: 0.2913	LR: 0.004000
Training Epoch: 14 [27392/47500]	Loss: 0.2769	LR: 0.004000
Training Epoch: 14 [27648/47500]	Loss: 0.3243	LR: 0.004000
Training Epoch: 14 [27904/47500]	Loss: 0.2743	LR: 0.004000
Training Epoch: 14 [28160/47500]	Loss: 0.3375	LR: 0.004000
Training Epoch: 14 [28416/47500]	Loss: 0.3960	LR: 0.004000
Training Epoch: 14 [28672/47500]	Loss: 0.3697	LR: 0.004000
Training Epoch: 14 [28928/47500]	Loss: 0.3173	LR: 0.004000
Training Epoch: 14 [29184/47500]	Loss: 0.2786	LR: 0.004000
Training Epoch: 14 [29440/47500]	Loss: 0.3353	LR: 0.004000
Training Epoch: 14 [29696/47500]	Loss: 0.2962	LR: 0.004000
Training Epoch: 14 [29952/47500]	Loss: 0.3283	LR: 0.004000
Training Epoch: 14 [30208/47500]	Loss: 0.3860	LR: 0.004000
Training Epoch: 14 [30464/47500]	Loss: 0.3082	LR: 0.004000
Training Epoch: 14 [30720/47500]	Loss: 0.2865	LR: 0.004000
Training Epoch: 14 [30976/47500]	Loss: 0.2797	LR: 0.004000
Training Epoch: 14 [31232/47500]	Loss: 0.3840	LR: 0.004000
Training Epoch: 14 [31488/47500]	Loss: 0.2781	LR: 0.004000
Training Epoch: 14 [31744/47500]	Loss: 0.3215	LR: 0.004000
Training Epoch: 14 [32000/47500]	Loss: 0.4118	LR: 0.004000
Training Epoch: 14 [32256/47500]	Loss: 0.3178	LR: 0.004000
Training Epoch: 14 [32512/47500]	Loss: 0.3064	LR: 0.004000
Training Epoch: 14 [32768/47500]	Loss: 0.3040	LR: 0.004000
Training Epoch: 14 [33024/47500]	Loss: 0.3309	LR: 0.004000
Training Epoch: 14 [33280/47500]	Loss: 0.2853	LR: 0.004000
Training Epoch: 14 [33536/47500]	Loss: 0.3347	LR: 0.004000
Training Epoch: 14 [33792/47500]	Loss: 0.3824	LR: 0.004000
Training Epoch: 14 [34048/47500]	Loss: 0.3034	LR: 0.004000
Training Epoch: 14 [34304/47500]	Loss: 0.3489	LR: 0.004000
Training Epoch: 14 [34560/47500]	Loss: 0.3997	LR: 0.004000
Training Epoch: 14 [34816/47500]	Loss: 0.2735	LR: 0.004000
Training Epoch: 14 [35072/47500]	Loss: 0.3274	LR: 0.004000
Training Epoch: 14 [35328/47500]	Loss: 0.3567	LR: 0.004000
Training Epoch: 14 [35584/47500]	Loss: 0.3648	LR: 0.004000
Training Epoch: 14 [35840/47500]	Loss: 0.3349	LR: 0.004000
Training Epoch: 14 [36096/47500]	Loss: 0.2786	LR: 0.004000
Training Epoch: 14 [36352/47500]	Loss: 0.4133	LR: 0.004000
Training Epoch: 14 [36608/47500]	Loss: 0.3832	LR: 0.004000
Training Epoch: 14 [36864/47500]	Loss: 0.3346	LR: 0.004000
Training Epoch: 14 [37120/47500]	Loss: 0.3544	LR: 0.004000
Training Epoch: 14 [37376/47500]	Loss: 0.3230	LR: 0.004000
Training Epoch: 14 [37632/47500]	Loss: 0.3009	LR: 0.004000
Training Epoch: 14 [37888/47500]	Loss: 0.3913	LR: 0.004000
Training Epoch: 14 [38144/47500]	Loss: 0.3853	LR: 0.004000
Training Epoch: 14 [38400/47500]	Loss: 0.3485	LR: 0.004000
Training Epoch: 14 [38656/47500]	Loss: 0.4565	LR: 0.004000
Training Epoch: 14 [38912/47500]	Loss: 0.3489	LR: 0.004000
Training Epoch: 14 [39168/47500]	Loss: 0.3010	LR: 0.004000
Training Epoch: 14 [39424/47500]	Loss: 0.3427	LR: 0.004000
Training Epoch: 14 [39680/47500]	Loss: 0.3574	LR: 0.004000
Training Epoch: 14 [39936/47500]	Loss: 0.3057	LR: 0.004000
Training Epoch: 14 [40192/47500]	Loss: 0.3872	LR: 0.004000
Training Epoch: 14 [40448/47500]	Loss: 0.3923	LR: 0.004000
Training Epoch: 14 [40704/47500]	Loss: 0.2920	LR: 0.004000
Training Epoch: 14 [40960/47500]	Loss: 0.3557	LR: 0.004000
Training Epoch: 14 [41216/47500]	Loss: 0.2908	LR: 0.004000
Training Epoch: 14 [41472/47500]	Loss: 0.3137	LR: 0.004000
Training Epoch: 14 [41728/47500]	Loss: 0.3391	LR: 0.004000
Training Epoch: 14 [41984/47500]	Loss: 0.2789	LR: 0.004000
Training Epoch: 14 [42240/47500]	Loss: 0.3440	LR: 0.004000
Training Epoch: 14 [42496/47500]	Loss: 0.3078	LR: 0.004000
Training Epoch: 14 [42752/47500]	Loss: 0.2776	LR: 0.004000
Training Epoch: 14 [43008/47500]	Loss: 0.3009	LR: 0.004000
Training Epoch: 14 [43264/47500]	Loss: 0.3289	LR: 0.004000
Training Epoch: 14 [43520/47500]	Loss: 0.3469	LR: 0.004000
Training Epoch: 14 [43776/47500]	Loss: 0.3777	LR: 0.004000
Training Epoch: 14 [44032/47500]	Loss: 0.2999	LR: 0.004000
Training Epoch: 14 [44288/47500]	Loss: 0.3844	LR: 0.004000
Training Epoch: 14 [44544/47500]	Loss: 0.3255	LR: 0.004000
Training Epoch: 14 [44800/47500]	Loss: 0.2625	LR: 0.004000
Training Epoch: 14 [45056/47500]	Loss: 0.4462	LR: 0.004000
Training Epoch: 14 [45312/47500]	Loss: 0.2508	LR: 0.004000
Training Epoch: 14 [45568/47500]	Loss: 0.2723	LR: 0.004000
Training Epoch: 14 [45824/47500]	Loss: 0.3263	LR: 0.004000
Training Epoch: 14 [46080/47500]	Loss: 0.3091	LR: 0.004000
Training Epoch: 14 [46336/47500]	Loss: 0.3270	LR: 0.004000
Training Epoch: 14 [46592/47500]	Loss: 0.3227	LR: 0.004000
Training Epoch: 14 [46848/47500]	Loss: 0.3076	LR: 0.004000
Training Epoch: 14 [47104/47500]	Loss: 0.3027	LR: 0.004000
Training Epoch: 14 [47360/47500]	Loss: 0.3671	LR: 0.004000
Training Epoch: 14 [47500/47500]	Loss: 0.2829	LR: 0.004000
Epoch 14 - Average Train Loss: 0.3347, Train Accuracy: 0.8851
Epoch 14 training time consumed: 26.59s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0015, Accuracy: 0.8705, Time consumed:0.94s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_02h_13m_37s/AllCNN-Cifar10-seed9-ret50-14-best.pth
Training Epoch: 15 [256/47500]	Loss: 0.3109	LR: 0.004000
Training Epoch: 15 [512/47500]	Loss: 0.2754	LR: 0.004000
Training Epoch: 15 [768/47500]	Loss: 0.3351	LR: 0.004000
Training Epoch: 15 [1024/47500]	Loss: 0.3128	LR: 0.004000
Training Epoch: 15 [1280/47500]	Loss: 0.2938	LR: 0.004000
Training Epoch: 15 [1536/47500]	Loss: 0.2940	LR: 0.004000
Training Epoch: 15 [1792/47500]	Loss: 0.3244	LR: 0.004000
Training Epoch: 15 [2048/47500]	Loss: 0.3673	LR: 0.004000
Training Epoch: 15 [2304/47500]	Loss: 0.3317	LR: 0.004000
Training Epoch: 15 [2560/47500]	Loss: 0.3259	LR: 0.004000
Training Epoch: 15 [2816/47500]	Loss: 0.3472	LR: 0.004000
Training Epoch: 15 [3072/47500]	Loss: 0.2301	LR: 0.004000
Training Epoch: 15 [3328/47500]	Loss: 0.2759	LR: 0.004000
Training Epoch: 15 [3584/47500]	Loss: 0.2981	LR: 0.004000
Training Epoch: 15 [3840/47500]	Loss: 0.2717	LR: 0.004000
Training Epoch: 15 [4096/47500]	Loss: 0.2675	LR: 0.004000
Training Epoch: 15 [4352/47500]	Loss: 0.3256	LR: 0.004000
Training Epoch: 15 [4608/47500]	Loss: 0.2758	LR: 0.004000
Training Epoch: 15 [4864/47500]	Loss: 0.2807	LR: 0.004000
Training Epoch: 15 [5120/47500]	Loss: 0.4052	LR: 0.004000
Training Epoch: 15 [5376/47500]	Loss: 0.2795	LR: 0.004000
Training Epoch: 15 [5632/47500]	Loss: 0.4271	LR: 0.004000
Training Epoch: 15 [5888/47500]	Loss: 0.3543	LR: 0.004000
Training Epoch: 15 [6144/47500]	Loss: 0.3122	LR: 0.004000
Training Epoch: 15 [6400/47500]	Loss: 0.3296	LR: 0.004000
Training Epoch: 15 [6656/47500]	Loss: 0.2930	LR: 0.004000
Training Epoch: 15 [6912/47500]	Loss: 0.3305	LR: 0.004000
Training Epoch: 15 [7168/47500]	Loss: 0.3889	LR: 0.004000
Training Epoch: 15 [7424/47500]	Loss: 0.2892	LR: 0.004000
Training Epoch: 15 [7680/47500]	Loss: 0.3104	LR: 0.004000
Training Epoch: 15 [7936/47500]	Loss: 0.3080	LR: 0.004000
Training Epoch: 15 [8192/47500]	Loss: 0.2506	LR: 0.004000
Training Epoch: 15 [8448/47500]	Loss: 0.3639	LR: 0.004000
Training Epoch: 15 [8704/47500]	Loss: 0.3668	LR: 0.004000
Training Epoch: 15 [8960/47500]	Loss: 0.3124	LR: 0.004000
Training Epoch: 15 [9216/47500]	Loss: 0.2551	LR: 0.004000
Training Epoch: 15 [9472/47500]	Loss: 0.3249	LR: 0.004000
Training Epoch: 15 [9728/47500]	Loss: 0.3286	LR: 0.004000
Training Epoch: 15 [9984/47500]	Loss: 0.2823	LR: 0.004000
Training Epoch: 15 [10240/47500]	Loss: 0.2999	LR: 0.004000
Training Epoch: 15 [10496/47500]	Loss: 0.3009	LR: 0.004000
Training Epoch: 15 [10752/47500]	Loss: 0.3173	LR: 0.004000
Training Epoch: 15 [11008/47500]	Loss: 0.2998	LR: 0.004000
Training Epoch: 15 [11264/47500]	Loss: 0.3251	LR: 0.004000
Training Epoch: 15 [11520/47500]	Loss: 0.3502	LR: 0.004000
Training Epoch: 15 [11776/47500]	Loss: 0.3974	LR: 0.004000
Training Epoch: 15 [12032/47500]	Loss: 0.3042	LR: 0.004000
Training Epoch: 15 [12288/47500]	Loss: 0.3567	LR: 0.004000
Training Epoch: 15 [12544/47500]	Loss: 0.3641	LR: 0.004000
Training Epoch: 15 [12800/47500]	Loss: 0.3104	LR: 0.004000
Training Epoch: 15 [13056/47500]	Loss: 0.3104	LR: 0.004000
Training Epoch: 15 [13312/47500]	Loss: 0.2589	LR: 0.004000
Training Epoch: 15 [13568/47500]	Loss: 0.3885	LR: 0.004000
Training Epoch: 15 [13824/47500]	Loss: 0.2797	LR: 0.004000
Training Epoch: 15 [14080/47500]	Loss: 0.3097	LR: 0.004000
Training Epoch: 15 [14336/47500]	Loss: 0.2661	LR: 0.004000
Training Epoch: 15 [14592/47500]	Loss: 0.3317	LR: 0.004000
Training Epoch: 15 [14848/47500]	Loss: 0.3184	LR: 0.004000
Training Epoch: 15 [15104/47500]	Loss: 0.3213	LR: 0.004000
Training Epoch: 15 [15360/47500]	Loss: 0.3110	LR: 0.004000
Training Epoch: 15 [15616/47500]	Loss: 0.3059	LR: 0.004000
Training Epoch: 15 [15872/47500]	Loss: 0.3336	LR: 0.004000
Training Epoch: 15 [16128/47500]	Loss: 0.3000	LR: 0.004000
Training Epoch: 15 [16384/47500]	Loss: 0.3127	LR: 0.004000
Training Epoch: 15 [16640/47500]	Loss: 0.4076	LR: 0.004000
Training Epoch: 15 [16896/47500]	Loss: 0.3357	LR: 0.004000
Training Epoch: 15 [17152/47500]	Loss: 0.3386	LR: 0.004000
Training Epoch: 15 [17408/47500]	Loss: 0.2847	LR: 0.004000
Training Epoch: 15 [17664/47500]	Loss: 0.3379	LR: 0.004000
Training Epoch: 15 [17920/47500]	Loss: 0.2573	LR: 0.004000
Training Epoch: 15 [18176/47500]	Loss: 0.3066	LR: 0.004000
Training Epoch: 15 [18432/47500]	Loss: 0.2419	LR: 0.004000
Training Epoch: 15 [18688/47500]	Loss: 0.3611	LR: 0.004000
Training Epoch: 15 [18944/47500]	Loss: 0.4172	LR: 0.004000
Training Epoch: 15 [19200/47500]	Loss: 0.3692	LR: 0.004000
Training Epoch: 15 [19456/47500]	Loss: 0.2830	LR: 0.004000
Training Epoch: 15 [19712/47500]	Loss: 0.3743	LR: 0.004000
Training Epoch: 15 [19968/47500]	Loss: 0.3435	LR: 0.004000
Training Epoch: 15 [20224/47500]	Loss: 0.3419	LR: 0.004000
Training Epoch: 15 [20480/47500]	Loss: 0.2757	LR: 0.004000
Training Epoch: 15 [20736/47500]	Loss: 0.2819	LR: 0.004000
Training Epoch: 15 [20992/47500]	Loss: 0.4161	LR: 0.004000
Training Epoch: 15 [21248/47500]	Loss: 0.4046	LR: 0.004000
Training Epoch: 15 [21504/47500]	Loss: 0.3384	LR: 0.004000
Training Epoch: 15 [21760/47500]	Loss: 0.3113	LR: 0.004000
Training Epoch: 15 [22016/47500]	Loss: 0.3319	LR: 0.004000
Training Epoch: 15 [22272/47500]	Loss: 0.2891	LR: 0.004000
Training Epoch: 15 [22528/47500]	Loss: 0.3059	LR: 0.004000
Training Epoch: 15 [22784/47500]	Loss: 0.3526	LR: 0.004000
Training Epoch: 15 [23040/47500]	Loss: 0.3488	LR: 0.004000
Training Epoch: 15 [23296/47500]	Loss: 0.3451	LR: 0.004000
Training Epoch: 15 [23552/47500]	Loss: 0.3571	LR: 0.004000
Training Epoch: 15 [23808/47500]	Loss: 0.3619	LR: 0.004000
Training Epoch: 15 [24064/47500]	Loss: 0.3420	LR: 0.004000
Training Epoch: 15 [24320/47500]	Loss: 0.3976	LR: 0.004000
Training Epoch: 15 [24576/47500]	Loss: 0.2423	LR: 0.004000
Training Epoch: 15 [24832/47500]	Loss: 0.3666	LR: 0.004000
Training Epoch: 15 [25088/47500]	Loss: 0.3105	LR: 0.004000
Training Epoch: 15 [25344/47500]	Loss: 0.3176	LR: 0.004000
Training Epoch: 15 [25600/47500]	Loss: 0.2993	LR: 0.004000
Training Epoch: 15 [25856/47500]	Loss: 0.3574	LR: 0.004000
Training Epoch: 15 [26112/47500]	Loss: 0.3106	LR: 0.004000
Training Epoch: 15 [26368/47500]	Loss: 0.3430	LR: 0.004000
Training Epoch: 15 [26624/47500]	Loss: 0.3079	LR: 0.004000
Training Epoch: 15 [26880/47500]	Loss: 0.3202	LR: 0.004000
Training Epoch: 15 [27136/47500]	Loss: 0.2842	LR: 0.004000
Training Epoch: 15 [27392/47500]	Loss: 0.2959	LR: 0.004000
Training Epoch: 15 [27648/47500]	Loss: 0.3065	LR: 0.004000
Training Epoch: 15 [27904/47500]	Loss: 0.3815	LR: 0.004000
Training Epoch: 15 [28160/47500]	Loss: 0.3349	LR: 0.004000
Training Epoch: 15 [28416/47500]	Loss: 0.2769	LR: 0.004000
Training Epoch: 15 [28672/47500]	Loss: 0.3603	LR: 0.004000
Training Epoch: 15 [28928/47500]	Loss: 0.3363	LR: 0.004000
Training Epoch: 15 [29184/47500]	Loss: 0.3981	LR: 0.004000
Training Epoch: 15 [29440/47500]	Loss: 0.3250	LR: 0.004000
Training Epoch: 15 [29696/47500]	Loss: 0.3152	LR: 0.004000
Training Epoch: 15 [29952/47500]	Loss: 0.3393	LR: 0.004000
Training Epoch: 15 [30208/47500]	Loss: 0.3921	LR: 0.004000
Training Epoch: 15 [30464/47500]	Loss: 0.3482	LR: 0.004000
Training Epoch: 15 [30720/47500]	Loss: 0.3385	LR: 0.004000
Training Epoch: 15 [30976/47500]	Loss: 0.3343	LR: 0.004000
Training Epoch: 15 [31232/47500]	Loss: 0.3570	LR: 0.004000
Training Epoch: 15 [31488/47500]	Loss: 0.3298	LR: 0.004000
Training Epoch: 15 [31744/47500]	Loss: 0.3949	LR: 0.004000
Training Epoch: 15 [32000/47500]	Loss: 0.3064	LR: 0.004000
Training Epoch: 15 [32256/47500]	Loss: 0.3070	LR: 0.004000
Training Epoch: 15 [32512/47500]	Loss: 0.3450	LR: 0.004000
Training Epoch: 15 [32768/47500]	Loss: 0.3696	LR: 0.004000
Training Epoch: 15 [33024/47500]	Loss: 0.2965	LR: 0.004000
Training Epoch: 15 [33280/47500]	Loss: 0.3091	LR: 0.004000
Training Epoch: 15 [33536/47500]	Loss: 0.4121	LR: 0.004000
Training Epoch: 15 [33792/47500]	Loss: 0.3874	LR: 0.004000
Training Epoch: 15 [34048/47500]	Loss: 0.2716	LR: 0.004000
Training Epoch: 15 [34304/47500]	Loss: 0.2945	LR: 0.004000
Training Epoch: 15 [34560/47500]	Loss: 0.2838	LR: 0.004000
Training Epoch: 15 [34816/47500]	Loss: 0.2460	LR: 0.004000
Training Epoch: 15 [35072/47500]	Loss: 0.2441	LR: 0.004000
Training Epoch: 15 [35328/47500]	Loss: 0.3925	LR: 0.004000
Training Epoch: 15 [35584/47500]	Loss: 0.2880	LR: 0.004000
Training Epoch: 15 [35840/47500]	Loss: 0.3466	LR: 0.004000
Training Epoch: 15 [36096/47500]	Loss: 0.3393	LR: 0.004000
Training Epoch: 15 [36352/47500]	Loss: 0.3541	LR: 0.004000
Training Epoch: 15 [36608/47500]	Loss: 0.3470	LR: 0.004000
Training Epoch: 15 [36864/47500]	Loss: 0.3313	LR: 0.004000
Training Epoch: 15 [37120/47500]	Loss: 0.3332	LR: 0.004000
Training Epoch: 15 [37376/47500]	Loss: 0.2635	LR: 0.004000
Training Epoch: 15 [37632/47500]	Loss: 0.3697	LR: 0.004000
Training Epoch: 15 [37888/47500]	Loss: 0.3025	LR: 0.004000
Training Epoch: 15 [38144/47500]	Loss: 0.3411	LR: 0.004000
Training Epoch: 15 [38400/47500]	Loss: 0.4136	LR: 0.004000
Training Epoch: 15 [38656/47500]	Loss: 0.3191	LR: 0.004000
Training Epoch: 15 [38912/47500]	Loss: 0.3337	LR: 0.004000
Training Epoch: 15 [39168/47500]	Loss: 0.3665	LR: 0.004000
Training Epoch: 15 [39424/47500]	Loss: 0.3849	LR: 0.004000
Training Epoch: 15 [39680/47500]	Loss: 0.3366	LR: 0.004000
Training Epoch: 15 [39936/47500]	Loss: 0.2863	LR: 0.004000
Training Epoch: 15 [40192/47500]	Loss: 0.3661	LR: 0.004000
Training Epoch: 15 [40448/47500]	Loss: 0.3792	LR: 0.004000
Training Epoch: 15 [40704/47500]	Loss: 0.3363	LR: 0.004000
Training Epoch: 15 [40960/47500]	Loss: 0.3734	LR: 0.004000
Training Epoch: 15 [41216/47500]	Loss: 0.3629	LR: 0.004000
Training Epoch: 15 [41472/47500]	Loss: 0.2950	LR: 0.004000
Training Epoch: 15 [41728/47500]	Loss: 0.3634	LR: 0.004000
Training Epoch: 15 [41984/47500]	Loss: 0.2565	LR: 0.004000
Training Epoch: 15 [42240/47500]	Loss: 0.3009	LR: 0.004000
Training Epoch: 15 [42496/47500]	Loss: 0.2547	LR: 0.004000
Training Epoch: 15 [42752/47500]	Loss: 0.3859	LR: 0.004000
Training Epoch: 15 [43008/47500]	Loss: 0.4257	LR: 0.004000
Training Epoch: 15 [43264/47500]	Loss: 0.3388	LR: 0.004000
Training Epoch: 15 [43520/47500]	Loss: 0.2645	LR: 0.004000
Training Epoch: 15 [43776/47500]	Loss: 0.3578	LR: 0.004000
Training Epoch: 15 [44032/47500]	Loss: 0.3046	LR: 0.004000
Training Epoch: 15 [44288/47500]	Loss: 0.3598	LR: 0.004000
Training Epoch: 15 [44544/47500]	Loss: 0.2513	LR: 0.004000
Training Epoch: 15 [44800/47500]	Loss: 0.3485	LR: 0.004000
Training Epoch: 15 [45056/47500]	Loss: 0.3243	LR: 0.004000
Training Epoch: 15 [45312/47500]	Loss: 0.3970	LR: 0.004000
Training Epoch: 15 [45568/47500]	Loss: 0.3734	LR: 0.004000
Training Epoch: 15 [45824/47500]	Loss: 0.2990	LR: 0.004000
Training Epoch: 15 [46080/47500]	Loss: 0.3306	LR: 0.004000
Training Epoch: 15 [46336/47500]	Loss: 0.3398	LR: 0.004000
Training Epoch: 15 [46592/47500]	Loss: 0.4373	LR: 0.004000
Training Epoch: 15 [46848/47500]	Loss: 0.3801	LR: 0.004000
Training Epoch: 15 [47104/47500]	Loss: 0.3705	LR: 0.004000
Training Epoch: 15 [47360/47500]	Loss: 0.3299	LR: 0.004000
Training Epoch: 15 [47500/47500]	Loss: 0.3738	LR: 0.004000
Epoch 15 - Average Train Loss: 0.3285, Train Accuracy: 0.8860
Epoch 15 training time consumed: 26.48s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0015, Accuracy: 0.8713, Time consumed:0.92s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_02h_13m_37s/AllCNN-Cifar10-seed9-ret50-15-best.pth
Training Epoch: 16 [256/47500]	Loss: 0.3430	LR: 0.000800
Training Epoch: 16 [512/47500]	Loss: 0.3470	LR: 0.000800
Training Epoch: 16 [768/47500]	Loss: 0.3188	LR: 0.000800
Training Epoch: 16 [1024/47500]	Loss: 0.3453	LR: 0.000800
Training Epoch: 16 [1280/47500]	Loss: 0.2817	LR: 0.000800
Training Epoch: 16 [1536/47500]	Loss: 0.3672	LR: 0.000800
Training Epoch: 16 [1792/47500]	Loss: 0.3199	LR: 0.000800
Training Epoch: 16 [2048/47500]	Loss: 0.2958	LR: 0.000800
Training Epoch: 16 [2304/47500]	Loss: 0.2780	LR: 0.000800
Training Epoch: 16 [2560/47500]	Loss: 0.3652	LR: 0.000800
Training Epoch: 16 [2816/47500]	Loss: 0.3640	LR: 0.000800
Training Epoch: 16 [3072/47500]	Loss: 0.2887	LR: 0.000800
Training Epoch: 16 [3328/47500]	Loss: 0.3582	LR: 0.000800
Training Epoch: 16 [3584/47500]	Loss: 0.2627	LR: 0.000800
Training Epoch: 16 [3840/47500]	Loss: 0.3278	LR: 0.000800
Training Epoch: 16 [4096/47500]	Loss: 0.3331	LR: 0.000800
Training Epoch: 16 [4352/47500]	Loss: 0.3163	LR: 0.000800
Training Epoch: 16 [4608/47500]	Loss: 0.3319	LR: 0.000800
Training Epoch: 16 [4864/47500]	Loss: 0.3029	LR: 0.000800
Training Epoch: 16 [5120/47500]	Loss: 0.3497	LR: 0.000800
Training Epoch: 16 [5376/47500]	Loss: 0.3151	LR: 0.000800
Training Epoch: 16 [5632/47500]	Loss: 0.2850	LR: 0.000800
Training Epoch: 16 [5888/47500]	Loss: 0.3518	LR: 0.000800
Training Epoch: 16 [6144/47500]	Loss: 0.3022	LR: 0.000800
Training Epoch: 16 [6400/47500]	Loss: 0.2886	LR: 0.000800
Training Epoch: 16 [6656/47500]	Loss: 0.3018	LR: 0.000800
Training Epoch: 16 [6912/47500]	Loss: 0.2900	LR: 0.000800
Training Epoch: 16 [7168/47500]	Loss: 0.2580	LR: 0.000800
Training Epoch: 16 [7424/47500]	Loss: 0.2462	LR: 0.000800
Training Epoch: 16 [7680/47500]	Loss: 0.2857	LR: 0.000800
Training Epoch: 16 [7936/47500]	Loss: 0.3161	LR: 0.000800
Training Epoch: 16 [8192/47500]	Loss: 0.3525	LR: 0.000800
Training Epoch: 16 [8448/47500]	Loss: 0.3029	LR: 0.000800
Training Epoch: 16 [8704/47500]	Loss: 0.3279	LR: 0.000800
Training Epoch: 16 [8960/47500]	Loss: 0.3788	LR: 0.000800
Training Epoch: 16 [9216/47500]	Loss: 0.3319	LR: 0.000800
Training Epoch: 16 [9472/47500]	Loss: 0.3316	LR: 0.000800
Training Epoch: 16 [9728/47500]	Loss: 0.2843	LR: 0.000800
Training Epoch: 16 [9984/47500]	Loss: 0.2978	LR: 0.000800
Training Epoch: 16 [10240/47500]	Loss: 0.3316	LR: 0.000800
Training Epoch: 16 [10496/47500]	Loss: 0.2349	LR: 0.000800
Training Epoch: 16 [10752/47500]	Loss: 0.3242	LR: 0.000800
Training Epoch: 16 [11008/47500]	Loss: 0.2701	LR: 0.000800
Training Epoch: 16 [11264/47500]	Loss: 0.2563	LR: 0.000800
Training Epoch: 16 [11520/47500]	Loss: 0.3763	LR: 0.000800
Training Epoch: 16 [11776/47500]	Loss: 0.2668	LR: 0.000800
Training Epoch: 16 [12032/47500]	Loss: 0.3304	LR: 0.000800
Training Epoch: 16 [12288/47500]	Loss: 0.4196	LR: 0.000800
Training Epoch: 16 [12544/47500]	Loss: 0.3836	LR: 0.000800
Training Epoch: 16 [12800/47500]	Loss: 0.3114	LR: 0.000800
Training Epoch: 16 [13056/47500]	Loss: 0.2523	LR: 0.000800
Training Epoch: 16 [13312/47500]	Loss: 0.2461	LR: 0.000800
Training Epoch: 16 [13568/47500]	Loss: 0.2608	LR: 0.000800
Training Epoch: 16 [13824/47500]	Loss: 0.2853	LR: 0.000800
Training Epoch: 16 [14080/47500]	Loss: 0.2709	LR: 0.000800
Training Epoch: 16 [14336/47500]	Loss: 0.3549	LR: 0.000800
Training Epoch: 16 [14592/47500]	Loss: 0.3818	LR: 0.000800
Training Epoch: 16 [14848/47500]	Loss: 0.2578	LR: 0.000800
Training Epoch: 16 [15104/47500]	Loss: 0.3230	LR: 0.000800
Training Epoch: 16 [15360/47500]	Loss: 0.2792	LR: 0.000800
Training Epoch: 16 [15616/47500]	Loss: 0.2690	LR: 0.000800
Training Epoch: 16 [15872/47500]	Loss: 0.2420	LR: 0.000800
Training Epoch: 16 [16128/47500]	Loss: 0.3785	LR: 0.000800
Training Epoch: 16 [16384/47500]	Loss: 0.3505	LR: 0.000800
Training Epoch: 16 [16640/47500]	Loss: 0.3748	LR: 0.000800
Training Epoch: 16 [16896/47500]	Loss: 0.2499	LR: 0.000800
Training Epoch: 16 [17152/47500]	Loss: 0.3022	LR: 0.000800
Training Epoch: 16 [17408/47500]	Loss: 0.3509	LR: 0.000800
Training Epoch: 16 [17664/47500]	Loss: 0.3611	LR: 0.000800
Training Epoch: 16 [17920/47500]	Loss: 0.3195	LR: 0.000800
Training Epoch: 16 [18176/47500]	Loss: 0.3765	LR: 0.000800
Training Epoch: 16 [18432/47500]	Loss: 0.3231	LR: 0.000800
Training Epoch: 16 [18688/47500]	Loss: 0.3611	LR: 0.000800
Training Epoch: 16 [18944/47500]	Loss: 0.3330	LR: 0.000800
Training Epoch: 16 [19200/47500]	Loss: 0.3202	LR: 0.000800
Training Epoch: 16 [19456/47500]	Loss: 0.2700	LR: 0.000800
Training Epoch: 16 [19712/47500]	Loss: 0.2946	LR: 0.000800
Training Epoch: 16 [19968/47500]	Loss: 0.2822	LR: 0.000800
Training Epoch: 16 [20224/47500]	Loss: 0.3625	LR: 0.000800
Training Epoch: 16 [20480/47500]	Loss: 0.4292	LR: 0.000800
Training Epoch: 16 [20736/47500]	Loss: 0.3101	LR: 0.000800
Training Epoch: 16 [20992/47500]	Loss: 0.2958	LR: 0.000800
Training Epoch: 16 [21248/47500]	Loss: 0.2636	LR: 0.000800
Training Epoch: 16 [21504/47500]	Loss: 0.3356	LR: 0.000800
Training Epoch: 16 [21760/47500]	Loss: 0.2997	LR: 0.000800
Training Epoch: 16 [22016/47500]	Loss: 0.2985	LR: 0.000800
Training Epoch: 16 [22272/47500]	Loss: 0.3156	LR: 0.000800
Training Epoch: 16 [22528/47500]	Loss: 0.3450	LR: 0.000800
Training Epoch: 16 [22784/47500]	Loss: 0.3133	LR: 0.000800
Training Epoch: 16 [23040/47500]	Loss: 0.2911	LR: 0.000800
Training Epoch: 16 [23296/47500]	Loss: 0.3377	LR: 0.000800
Training Epoch: 16 [23552/47500]	Loss: 0.3261	LR: 0.000800
Training Epoch: 16 [23808/47500]	Loss: 0.2995	LR: 0.000800
Training Epoch: 16 [24064/47500]	Loss: 0.4056	LR: 0.000800
Training Epoch: 16 [24320/47500]	Loss: 0.2841	LR: 0.000800
Training Epoch: 16 [24576/47500]	Loss: 0.3078	LR: 0.000800
Training Epoch: 16 [24832/47500]	Loss: 0.3142	LR: 0.000800
Training Epoch: 16 [25088/47500]	Loss: 0.3733	LR: 0.000800
Training Epoch: 16 [25344/47500]	Loss: 0.2548	LR: 0.000800
Training Epoch: 16 [25600/47500]	Loss: 0.2823	LR: 0.000800
Training Epoch: 16 [25856/47500]	Loss: 0.3927	LR: 0.000800
Training Epoch: 16 [26112/47500]	Loss: 0.3180	LR: 0.000800
Training Epoch: 16 [26368/47500]	Loss: 0.2854	LR: 0.000800
Training Epoch: 16 [26624/47500]	Loss: 0.2990	LR: 0.000800
Training Epoch: 16 [26880/47500]	Loss: 0.3158	LR: 0.000800
Training Epoch: 16 [27136/47500]	Loss: 0.2662	LR: 0.000800
Training Epoch: 16 [27392/47500]	Loss: 0.2963	LR: 0.000800
Training Epoch: 16 [27648/47500]	Loss: 0.3337	LR: 0.000800
Training Epoch: 16 [27904/47500]	Loss: 0.4015	LR: 0.000800
Training Epoch: 16 [28160/47500]	Loss: 0.2625	LR: 0.000800
Training Epoch: 16 [28416/47500]	Loss: 0.4089	LR: 0.000800
Training Epoch: 16 [28672/47500]	Loss: 0.2992	LR: 0.000800
Training Epoch: 16 [28928/47500]	Loss: 0.2986	LR: 0.000800
Training Epoch: 16 [29184/47500]	Loss: 0.3145	LR: 0.000800
Training Epoch: 16 [29440/47500]	Loss: 0.2447	LR: 0.000800
Training Epoch: 16 [29696/47500]	Loss: 0.3242	LR: 0.000800
Training Epoch: 16 [29952/47500]	Loss: 0.3224	LR: 0.000800
Training Epoch: 16 [30208/47500]	Loss: 0.3159	LR: 0.000800
Training Epoch: 16 [30464/47500]	Loss: 0.3743	LR: 0.000800
Training Epoch: 16 [30720/47500]	Loss: 0.3690	LR: 0.000800
Training Epoch: 16 [30976/47500]	Loss: 0.2771	LR: 0.000800
Training Epoch: 16 [31232/47500]	Loss: 0.2429	LR: 0.000800
Training Epoch: 16 [31488/47500]	Loss: 0.2715	LR: 0.000800
Training Epoch: 16 [31744/47500]	Loss: 0.3806	LR: 0.000800
Training Epoch: 16 [32000/47500]	Loss: 0.2801	LR: 0.000800
Training Epoch: 16 [32256/47500]	Loss: 0.2850	LR: 0.000800
Training Epoch: 16 [32512/47500]	Loss: 0.3556	LR: 0.000800
Training Epoch: 16 [32768/47500]	Loss: 0.2793	LR: 0.000800
Training Epoch: 16 [33024/47500]	Loss: 0.3716	LR: 0.000800
Training Epoch: 16 [33280/47500]	Loss: 0.3315	LR: 0.000800
Training Epoch: 16 [33536/47500]	Loss: 0.3235	LR: 0.000800
Training Epoch: 16 [33792/47500]	Loss: 0.2712	LR: 0.000800
Training Epoch: 16 [34048/47500]	Loss: 0.2939	LR: 0.000800
Training Epoch: 16 [34304/47500]	Loss: 0.2842	LR: 0.000800
Training Epoch: 16 [34560/47500]	Loss: 0.3606	LR: 0.000800
Training Epoch: 16 [34816/47500]	Loss: 0.2766	LR: 0.000800
Training Epoch: 16 [35072/47500]	Loss: 0.3626	LR: 0.000800
Training Epoch: 16 [35328/47500]	Loss: 0.2664	LR: 0.000800
Training Epoch: 16 [35584/47500]	Loss: 0.3063	LR: 0.000800
Training Epoch: 16 [35840/47500]	Loss: 0.3499	LR: 0.000800
Training Epoch: 16 [36096/47500]	Loss: 0.3302	LR: 0.000800
Training Epoch: 16 [36352/47500]	Loss: 0.3002	LR: 0.000800
Training Epoch: 16 [36608/47500]	Loss: 0.3547	LR: 0.000800
Training Epoch: 16 [36864/47500]	Loss: 0.3597	LR: 0.000800
Training Epoch: 16 [37120/47500]	Loss: 0.2896	LR: 0.000800
Training Epoch: 16 [37376/47500]	Loss: 0.3284	LR: 0.000800
Training Epoch: 16 [37632/47500]	Loss: 0.3188	LR: 0.000800
Training Epoch: 16 [37888/47500]	Loss: 0.3296	LR: 0.000800
Training Epoch: 16 [38144/47500]	Loss: 0.3522	LR: 0.000800
Training Epoch: 16 [38400/47500]	Loss: 0.3563	LR: 0.000800
Training Epoch: 16 [38656/47500]	Loss: 0.2006	LR: 0.000800
Training Epoch: 16 [38912/47500]	Loss: 0.2878	LR: 0.000800
Training Epoch: 16 [39168/47500]	Loss: 0.3429	LR: 0.000800
Training Epoch: 16 [39424/47500]	Loss: 0.3020	LR: 0.000800
Training Epoch: 16 [39680/47500]	Loss: 0.3749	LR: 0.000800
Training Epoch: 16 [39936/47500]	Loss: 0.3375	LR: 0.000800
Training Epoch: 16 [40192/47500]	Loss: 0.3089	LR: 0.000800
Training Epoch: 16 [40448/47500]	Loss: 0.2644	LR: 0.000800
Training Epoch: 16 [40704/47500]	Loss: 0.2778	LR: 0.000800
Training Epoch: 16 [40960/47500]	Loss: 0.2685	LR: 0.000800
Training Epoch: 16 [41216/47500]	Loss: 0.3058	LR: 0.000800
Training Epoch: 16 [41472/47500]	Loss: 0.3778	LR: 0.000800
Training Epoch: 16 [41728/47500]	Loss: 0.2825	LR: 0.000800
Training Epoch: 16 [41984/47500]	Loss: 0.3346	LR: 0.000800
Training Epoch: 16 [42240/47500]	Loss: 0.2902	LR: 0.000800
Training Epoch: 16 [42496/47500]	Loss: 0.2869	LR: 0.000800
Training Epoch: 16 [42752/47500]	Loss: 0.3092	LR: 0.000800
Training Epoch: 16 [43008/47500]	Loss: 0.2851	LR: 0.000800
Training Epoch: 16 [43264/47500]	Loss: 0.3041	LR: 0.000800
Training Epoch: 16 [43520/47500]	Loss: 0.3259	LR: 0.000800
Training Epoch: 16 [43776/47500]	Loss: 0.3587	LR: 0.000800
Training Epoch: 16 [44032/47500]	Loss: 0.3383	LR: 0.000800
Training Epoch: 16 [44288/47500]	Loss: 0.2909	LR: 0.000800
Training Epoch: 16 [44544/47500]	Loss: 0.3265	LR: 0.000800
Training Epoch: 16 [44800/47500]	Loss: 0.3134	LR: 0.000800
Training Epoch: 16 [45056/47500]	Loss: 0.2920	LR: 0.000800
Training Epoch: 16 [45312/47500]	Loss: 0.2827	LR: 0.000800
Training Epoch: 16 [45568/47500]	Loss: 0.2933	LR: 0.000800
Training Epoch: 16 [45824/47500]	Loss: 0.3021	LR: 0.000800
Training Epoch: 16 [46080/47500]	Loss: 0.4074	LR: 0.000800
Training Epoch: 16 [46336/47500]	Loss: 0.2304	LR: 0.000800
Training Epoch: 16 [46592/47500]	Loss: 0.2598	LR: 0.000800
Training Epoch: 16 [46848/47500]	Loss: 0.3272	LR: 0.000800
Training Epoch: 16 [47104/47500]	Loss: 0.3225	LR: 0.000800
Training Epoch: 16 [47360/47500]	Loss: 0.3073	LR: 0.000800
Training Epoch: 16 [47500/47500]	Loss: 0.2675	LR: 0.000800
Epoch 16 - Average Train Loss: 0.3146, Train Accuracy: 0.8922
Epoch 16 training time consumed: 26.68s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0015, Accuracy: 0.8727, Time consumed:1.01s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_02h_13m_37s/AllCNN-Cifar10-seed9-ret50-16-best.pth
Training Epoch: 17 [256/47500]	Loss: 0.2792	LR: 0.000800
Training Epoch: 17 [512/47500]	Loss: 0.3565	LR: 0.000800
Training Epoch: 17 [768/47500]	Loss: 0.3410	LR: 0.000800
Training Epoch: 17 [1024/47500]	Loss: 0.2944	LR: 0.000800
Training Epoch: 17 [1280/47500]	Loss: 0.2404	LR: 0.000800
Training Epoch: 17 [1536/47500]	Loss: 0.3453	LR: 0.000800
Training Epoch: 17 [1792/47500]	Loss: 0.3461	LR: 0.000800
Training Epoch: 17 [2048/47500]	Loss: 0.2970	LR: 0.000800
Training Epoch: 17 [2304/47500]	Loss: 0.2343	LR: 0.000800
Training Epoch: 17 [2560/47500]	Loss: 0.2984	LR: 0.000800
Training Epoch: 17 [2816/47500]	Loss: 0.2830	LR: 0.000800
Training Epoch: 17 [3072/47500]	Loss: 0.2629	LR: 0.000800
Training Epoch: 17 [3328/47500]	Loss: 0.2479	LR: 0.000800
Training Epoch: 17 [3584/47500]	Loss: 0.3024	LR: 0.000800
Training Epoch: 17 [3840/47500]	Loss: 0.2950	LR: 0.000800
Training Epoch: 17 [4096/47500]	Loss: 0.3267	LR: 0.000800
Training Epoch: 17 [4352/47500]	Loss: 0.3248	LR: 0.000800
Training Epoch: 17 [4608/47500]	Loss: 0.3090	LR: 0.000800
Training Epoch: 17 [4864/47500]	Loss: 0.2970	LR: 0.000800
Training Epoch: 17 [5120/47500]	Loss: 0.3000	LR: 0.000800
Training Epoch: 17 [5376/47500]	Loss: 0.3543	LR: 0.000800
Training Epoch: 17 [5632/47500]	Loss: 0.2792	LR: 0.000800
Training Epoch: 17 [5888/47500]	Loss: 0.3230	LR: 0.000800
Training Epoch: 17 [6144/47500]	Loss: 0.3391	LR: 0.000800
Training Epoch: 17 [6400/47500]	Loss: 0.3494	LR: 0.000800
Training Epoch: 17 [6656/47500]	Loss: 0.2933	LR: 0.000800
Training Epoch: 17 [6912/47500]	Loss: 0.3914	LR: 0.000800
Training Epoch: 17 [7168/47500]	Loss: 0.3195	LR: 0.000800
Training Epoch: 17 [7424/47500]	Loss: 0.2265	LR: 0.000800
Training Epoch: 17 [7680/47500]	Loss: 0.2824	LR: 0.000800
Training Epoch: 17 [7936/47500]	Loss: 0.2930	LR: 0.000800
Training Epoch: 17 [8192/47500]	Loss: 0.2907	LR: 0.000800
Training Epoch: 17 [8448/47500]	Loss: 0.3073	LR: 0.000800
Training Epoch: 17 [8704/47500]	Loss: 0.2610	LR: 0.000800
Training Epoch: 17 [8960/47500]	Loss: 0.3298	LR: 0.000800
Training Epoch: 17 [9216/47500]	Loss: 0.3549	LR: 0.000800
Training Epoch: 17 [9472/47500]	Loss: 0.3089	LR: 0.000800
Training Epoch: 17 [9728/47500]	Loss: 0.3328	LR: 0.000800
Training Epoch: 17 [9984/47500]	Loss: 0.2921	LR: 0.000800
Training Epoch: 17 [10240/47500]	Loss: 0.2703	LR: 0.000800
Training Epoch: 17 [10496/47500]	Loss: 0.2539	LR: 0.000800
Training Epoch: 17 [10752/47500]	Loss: 0.3950	LR: 0.000800
Training Epoch: 17 [11008/47500]	Loss: 0.3109	LR: 0.000800
Training Epoch: 17 [11264/47500]	Loss: 0.3331	LR: 0.000800
Training Epoch: 17 [11520/47500]	Loss: 0.2809	LR: 0.000800
Training Epoch: 17 [11776/47500]	Loss: 0.2714	LR: 0.000800
Training Epoch: 17 [12032/47500]	Loss: 0.3721	LR: 0.000800
Training Epoch: 17 [12288/47500]	Loss: 0.3291	LR: 0.000800
Training Epoch: 17 [12544/47500]	Loss: 0.2660	LR: 0.000800
Training Epoch: 17 [12800/47500]	Loss: 0.2642	LR: 0.000800
Training Epoch: 17 [13056/47500]	Loss: 0.3434	LR: 0.000800
Training Epoch: 17 [13312/47500]	Loss: 0.2696	LR: 0.000800
Training Epoch: 17 [13568/47500]	Loss: 0.3074	LR: 0.000800
Training Epoch: 17 [13824/47500]	Loss: 0.3060	LR: 0.000800
Training Epoch: 17 [14080/47500]	Loss: 0.3463	LR: 0.000800
Training Epoch: 17 [14336/47500]	Loss: 0.3509	LR: 0.000800
Training Epoch: 17 [14592/47500]	Loss: 0.3877	LR: 0.000800
Training Epoch: 17 [14848/47500]	Loss: 0.2615	LR: 0.000800
Training Epoch: 17 [15104/47500]	Loss: 0.3587	LR: 0.000800
Training Epoch: 17 [15360/47500]	Loss: 0.2968	LR: 0.000800
Training Epoch: 17 [15616/47500]	Loss: 0.2995	LR: 0.000800
Training Epoch: 17 [15872/47500]	Loss: 0.3664	LR: 0.000800
Training Epoch: 17 [16128/47500]	Loss: 0.2226	LR: 0.000800
Training Epoch: 17 [16384/47500]	Loss: 0.2521	LR: 0.000800
Training Epoch: 17 [16640/47500]	Loss: 0.3175	LR: 0.000800
Training Epoch: 17 [16896/47500]	Loss: 0.2856	LR: 0.000800
Training Epoch: 17 [17152/47500]	Loss: 0.2824	LR: 0.000800
Training Epoch: 17 [17408/47500]	Loss: 0.3444	LR: 0.000800
Training Epoch: 17 [17664/47500]	Loss: 0.3915	LR: 0.000800
Training Epoch: 17 [17920/47500]	Loss: 0.3048	LR: 0.000800
Training Epoch: 17 [18176/47500]	Loss: 0.2752	LR: 0.000800
Training Epoch: 17 [18432/47500]	Loss: 0.2646	LR: 0.000800
Training Epoch: 17 [18688/47500]	Loss: 0.2584	LR: 0.000800
Training Epoch: 17 [18944/47500]	Loss: 0.2994	LR: 0.000800
Training Epoch: 17 [19200/47500]	Loss: 0.2943	LR: 0.000800
Training Epoch: 17 [19456/47500]	Loss: 0.2900	LR: 0.000800
Training Epoch: 17 [19712/47500]	Loss: 0.3809	LR: 0.000800
Training Epoch: 17 [19968/47500]	Loss: 0.2305	LR: 0.000800
Training Epoch: 17 [20224/47500]	Loss: 0.3326	LR: 0.000800
Training Epoch: 17 [20480/47500]	Loss: 0.3735	LR: 0.000800
Training Epoch: 17 [20736/47500]	Loss: 0.2795	LR: 0.000800
Training Epoch: 17 [20992/47500]	Loss: 0.4534	LR: 0.000800
Training Epoch: 17 [21248/47500]	Loss: 0.3381	LR: 0.000800
Training Epoch: 17 [21504/47500]	Loss: 0.2698	LR: 0.000800
Training Epoch: 17 [21760/47500]	Loss: 0.2877	LR: 0.000800
Training Epoch: 17 [22016/47500]	Loss: 0.3509	LR: 0.000800
Training Epoch: 17 [22272/47500]	Loss: 0.3363	LR: 0.000800
Training Epoch: 17 [22528/47500]	Loss: 0.3274	LR: 0.000800
Training Epoch: 17 [22784/47500]	Loss: 0.3335	LR: 0.000800
Training Epoch: 17 [23040/47500]	Loss: 0.3083	LR: 0.000800
Training Epoch: 17 [23296/47500]	Loss: 0.3385	LR: 0.000800
Training Epoch: 17 [23552/47500]	Loss: 0.3661	LR: 0.000800
Training Epoch: 17 [23808/47500]	Loss: 0.3470	LR: 0.000800
Training Epoch: 17 [24064/47500]	Loss: 0.2859	LR: 0.000800
Training Epoch: 17 [24320/47500]	Loss: 0.2374	LR: 0.000800
Training Epoch: 17 [24576/47500]	Loss: 0.3395	LR: 0.000800
Training Epoch: 17 [24832/47500]	Loss: 0.3521	LR: 0.000800
Training Epoch: 17 [25088/47500]	Loss: 0.2918	LR: 0.000800
Training Epoch: 17 [25344/47500]	Loss: 0.3213	LR: 0.000800
Training Epoch: 17 [25600/47500]	Loss: 0.3076	LR: 0.000800
Training Epoch: 17 [25856/47500]	Loss: 0.3069	LR: 0.000800
Training Epoch: 17 [26112/47500]	Loss: 0.3001	LR: 0.000800
Training Epoch: 17 [26368/47500]	Loss: 0.2713	LR: 0.000800
Training Epoch: 17 [26624/47500]	Loss: 0.3779	LR: 0.000800
Training Epoch: 17 [26880/47500]	Loss: 0.2839	LR: 0.000800
Training Epoch: 17 [27136/47500]	Loss: 0.3400	LR: 0.000800
Training Epoch: 17 [27392/47500]	Loss: 0.3016	LR: 0.000800
Training Epoch: 17 [27648/47500]	Loss: 0.3042	LR: 0.000800
Training Epoch: 17 [27904/47500]	Loss: 0.3863	LR: 0.000800
Training Epoch: 17 [28160/47500]	Loss: 0.2834	LR: 0.000800
Training Epoch: 17 [28416/47500]	Loss: 0.2558	LR: 0.000800
Training Epoch: 17 [28672/47500]	Loss: 0.3998	LR: 0.000800
Training Epoch: 17 [28928/47500]	Loss: 0.4165	LR: 0.000800
Training Epoch: 17 [29184/47500]	Loss: 0.2979	LR: 0.000800
Training Epoch: 17 [29440/47500]	Loss: 0.4040	LR: 0.000800
Training Epoch: 17 [29696/47500]	Loss: 0.2601	LR: 0.000800
Training Epoch: 17 [29952/47500]	Loss: 0.3350	LR: 0.000800
Training Epoch: 17 [30208/47500]	Loss: 0.3403	LR: 0.000800
Training Epoch: 17 [30464/47500]	Loss: 0.3221	LR: 0.000800
Training Epoch: 17 [30720/47500]	Loss: 0.3473	LR: 0.000800
Training Epoch: 17 [30976/47500]	Loss: 0.3316	LR: 0.000800
Training Epoch: 17 [31232/47500]	Loss: 0.3817	LR: 0.000800
Training Epoch: 17 [31488/47500]	Loss: 0.3677	LR: 0.000800
Training Epoch: 17 [31744/47500]	Loss: 0.2766	LR: 0.000800
Training Epoch: 17 [32000/47500]	Loss: 0.2547	LR: 0.000800
Training Epoch: 17 [32256/47500]	Loss: 0.3066	LR: 0.000800
Training Epoch: 17 [32512/47500]	Loss: 0.3577	LR: 0.000800
Training Epoch: 17 [32768/47500]	Loss: 0.3101	LR: 0.000800
Training Epoch: 17 [33024/47500]	Loss: 0.3585	LR: 0.000800
Training Epoch: 17 [33280/47500]	Loss: 0.2229	LR: 0.000800
Training Epoch: 17 [33536/47500]	Loss: 0.2940	LR: 0.000800
Training Epoch: 17 [33792/47500]	Loss: 0.2986	LR: 0.000800
Training Epoch: 17 [34048/47500]	Loss: 0.2990	LR: 0.000800
Training Epoch: 17 [34304/47500]	Loss: 0.2196	LR: 0.000800
Training Epoch: 17 [34560/47500]	Loss: 0.3454	LR: 0.000800
Training Epoch: 17 [34816/47500]	Loss: 0.2467	LR: 0.000800
Training Epoch: 17 [35072/47500]	Loss: 0.3084	LR: 0.000800
Training Epoch: 17 [35328/47500]	Loss: 0.2705	LR: 0.000800
Training Epoch: 17 [35584/47500]	Loss: 0.3337	LR: 0.000800
Training Epoch: 17 [35840/47500]	Loss: 0.3324	LR: 0.000800
Training Epoch: 17 [36096/47500]	Loss: 0.3087	LR: 0.000800
Training Epoch: 17 [36352/47500]	Loss: 0.2119	LR: 0.000800
Training Epoch: 17 [36608/47500]	Loss: 0.2802	LR: 0.000800
Training Epoch: 17 [36864/47500]	Loss: 0.3279	LR: 0.000800
Training Epoch: 17 [37120/47500]	Loss: 0.3184	LR: 0.000800
Training Epoch: 17 [37376/47500]	Loss: 0.3202	LR: 0.000800
Training Epoch: 17 [37632/47500]	Loss: 0.3041	LR: 0.000800
Training Epoch: 17 [37888/47500]	Loss: 0.2673	LR: 0.000800
Training Epoch: 17 [38144/47500]	Loss: 0.2938	LR: 0.000800
Training Epoch: 17 [38400/47500]	Loss: 0.3254	LR: 0.000800
Training Epoch: 17 [38656/47500]	Loss: 0.2702	LR: 0.000800
Training Epoch: 17 [38912/47500]	Loss: 0.2847	LR: 0.000800
Training Epoch: 17 [39168/47500]	Loss: 0.2504	LR: 0.000800
Training Epoch: 17 [39424/47500]	Loss: 0.2476	LR: 0.000800
Training Epoch: 17 [39680/47500]	Loss: 0.3350	LR: 0.000800
Training Epoch: 17 [39936/47500]	Loss: 0.2307	LR: 0.000800
Training Epoch: 17 [40192/47500]	Loss: 0.2173	LR: 0.000800
Training Epoch: 17 [40448/47500]	Loss: 0.3268	LR: 0.000800
Training Epoch: 17 [40704/47500]	Loss: 0.3781	LR: 0.000800
Training Epoch: 17 [40960/47500]	Loss: 0.3486	LR: 0.000800
Training Epoch: 17 [41216/47500]	Loss: 0.3366	LR: 0.000800
Training Epoch: 17 [41472/47500]	Loss: 0.3439	LR: 0.000800
Training Epoch: 17 [41728/47500]	Loss: 0.3605	LR: 0.000800
Training Epoch: 17 [41984/47500]	Loss: 0.3090	LR: 0.000800
Training Epoch: 17 [42240/47500]	Loss: 0.3358	LR: 0.000800
Training Epoch: 17 [42496/47500]	Loss: 0.3262	LR: 0.000800
Training Epoch: 17 [42752/47500]	Loss: 0.3327	LR: 0.000800
Training Epoch: 17 [43008/47500]	Loss: 0.2872	LR: 0.000800
Training Epoch: 17 [43264/47500]	Loss: 0.3647	LR: 0.000800
Training Epoch: 17 [43520/47500]	Loss: 0.3133	LR: 0.000800
Training Epoch: 17 [43776/47500]	Loss: 0.3276	LR: 0.000800
Training Epoch: 17 [44032/47500]	Loss: 0.3516	LR: 0.000800
Training Epoch: 17 [44288/47500]	Loss: 0.3728	LR: 0.000800
Training Epoch: 17 [44544/47500]	Loss: 0.3113	LR: 0.000800
Training Epoch: 17 [44800/47500]	Loss: 0.3913	LR: 0.000800
Training Epoch: 17 [45056/47500]	Loss: 0.3319	LR: 0.000800
Training Epoch: 17 [45312/47500]	Loss: 0.3407	LR: 0.000800
Training Epoch: 17 [45568/47500]	Loss: 0.3034	LR: 0.000800
Training Epoch: 17 [45824/47500]	Loss: 0.2700	LR: 0.000800
Training Epoch: 17 [46080/47500]	Loss: 0.3020	LR: 0.000800
Training Epoch: 17 [46336/47500]	Loss: 0.2737	LR: 0.000800
Training Epoch: 17 [46592/47500]	Loss: 0.2925	LR: 0.000800
Training Epoch: 17 [46848/47500]	Loss: 0.3424	LR: 0.000800
Training Epoch: 17 [47104/47500]	Loss: 0.3380	LR: 0.000800
Training Epoch: 17 [47360/47500]	Loss: 0.2837	LR: 0.000800
Training Epoch: 17 [47500/47500]	Loss: 0.3918	LR: 0.000800
Epoch 17 - Average Train Loss: 0.3119, Train Accuracy: 0.8944
Epoch 17 training time consumed: 26.70s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0015, Accuracy: 0.8716, Time consumed:0.96s
Training Epoch: 18 [256/47500]	Loss: 0.2589	LR: 0.000800
Training Epoch: 18 [512/47500]	Loss: 0.3624	LR: 0.000800
Training Epoch: 18 [768/47500]	Loss: 0.3585	LR: 0.000800
Training Epoch: 18 [1024/47500]	Loss: 0.3429	LR: 0.000800
Training Epoch: 18 [1280/47500]	Loss: 0.2633	LR: 0.000800
Training Epoch: 18 [1536/47500]	Loss: 0.3284	LR: 0.000800
Training Epoch: 18 [1792/47500]	Loss: 0.2841	LR: 0.000800
Training Epoch: 18 [2048/47500]	Loss: 0.3106	LR: 0.000800
Training Epoch: 18 [2304/47500]	Loss: 0.3358	LR: 0.000800
Training Epoch: 18 [2560/47500]	Loss: 0.3556	LR: 0.000800
Training Epoch: 18 [2816/47500]	Loss: 0.3411	LR: 0.000800
Training Epoch: 18 [3072/47500]	Loss: 0.3046	LR: 0.000800
Training Epoch: 18 [3328/47500]	Loss: 0.2514	LR: 0.000800
Training Epoch: 18 [3584/47500]	Loss: 0.2597	LR: 0.000800
Training Epoch: 18 [3840/47500]	Loss: 0.3362	LR: 0.000800
Training Epoch: 18 [4096/47500]	Loss: 0.3330	LR: 0.000800
Training Epoch: 18 [4352/47500]	Loss: 0.3400	LR: 0.000800
Training Epoch: 18 [4608/47500]	Loss: 0.3572	LR: 0.000800
Training Epoch: 18 [4864/47500]	Loss: 0.3094	LR: 0.000800
Training Epoch: 18 [5120/47500]	Loss: 0.3526	LR: 0.000800
Training Epoch: 18 [5376/47500]	Loss: 0.3175	LR: 0.000800
Training Epoch: 18 [5632/47500]	Loss: 0.3247	LR: 0.000800
Training Epoch: 18 [5888/47500]	Loss: 0.3068	LR: 0.000800
Training Epoch: 18 [6144/47500]	Loss: 0.3638	LR: 0.000800
Training Epoch: 18 [6400/47500]	Loss: 0.2953	LR: 0.000800
Training Epoch: 18 [6656/47500]	Loss: 0.3247	LR: 0.000800
Training Epoch: 18 [6912/47500]	Loss: 0.3035	LR: 0.000800
Training Epoch: 18 [7168/47500]	Loss: 0.3463	LR: 0.000800
Training Epoch: 18 [7424/47500]	Loss: 0.3037	LR: 0.000800
Training Epoch: 18 [7680/47500]	Loss: 0.2598	LR: 0.000800
Training Epoch: 18 [7936/47500]	Loss: 0.3026	LR: 0.000800
Training Epoch: 18 [8192/47500]	Loss: 0.3822	LR: 0.000800
Training Epoch: 18 [8448/47500]	Loss: 0.3289	LR: 0.000800
Training Epoch: 18 [8704/47500]	Loss: 0.2610	LR: 0.000800
Training Epoch: 18 [8960/47500]	Loss: 0.3597	LR: 0.000800
Training Epoch: 18 [9216/47500]	Loss: 0.3000	LR: 0.000800
Training Epoch: 18 [9472/47500]	Loss: 0.3107	LR: 0.000800
Training Epoch: 18 [9728/47500]	Loss: 0.2952	LR: 0.000800
Training Epoch: 18 [9984/47500]	Loss: 0.2676	LR: 0.000800
Training Epoch: 18 [10240/47500]	Loss: 0.2990	LR: 0.000800
Training Epoch: 18 [10496/47500]	Loss: 0.2474	LR: 0.000800
Training Epoch: 18 [10752/47500]	Loss: 0.4044	LR: 0.000800
Training Epoch: 18 [11008/47500]	Loss: 0.2852	LR: 0.000800
Training Epoch: 18 [11264/47500]	Loss: 0.3092	LR: 0.000800
Training Epoch: 18 [11520/47500]	Loss: 0.3142	LR: 0.000800
Training Epoch: 18 [11776/47500]	Loss: 0.1989	LR: 0.000800
Training Epoch: 18 [12032/47500]	Loss: 0.3595	LR: 0.000800
Training Epoch: 18 [12288/47500]	Loss: 0.2896	LR: 0.000800
Training Epoch: 18 [12544/47500]	Loss: 0.3478	LR: 0.000800
Training Epoch: 18 [12800/47500]	Loss: 0.2739	LR: 0.000800
Training Epoch: 18 [13056/47500]	Loss: 0.2868	LR: 0.000800
Training Epoch: 18 [13312/47500]	Loss: 0.3677	LR: 0.000800
Training Epoch: 18 [13568/47500]	Loss: 0.2938	LR: 0.000800
Training Epoch: 18 [13824/47500]	Loss: 0.3080	LR: 0.000800
Training Epoch: 18 [14080/47500]	Loss: 0.2903	LR: 0.000800
Training Epoch: 18 [14336/47500]	Loss: 0.3693	LR: 0.000800
Training Epoch: 18 [14592/47500]	Loss: 0.2412	LR: 0.000800
Training Epoch: 18 [14848/47500]	Loss: 0.2904	LR: 0.000800
Training Epoch: 18 [15104/47500]	Loss: 0.2711	LR: 0.000800
Training Epoch: 18 [15360/47500]	Loss: 0.3439	LR: 0.000800
Training Epoch: 18 [15616/47500]	Loss: 0.2415	LR: 0.000800
Training Epoch: 18 [15872/47500]	Loss: 0.2866	LR: 0.000800
Training Epoch: 18 [16128/47500]	Loss: 0.3489	LR: 0.000800
Training Epoch: 18 [16384/47500]	Loss: 0.3464	LR: 0.000800
Training Epoch: 18 [16640/47500]	Loss: 0.3213	LR: 0.000800
Training Epoch: 18 [16896/47500]	Loss: 0.2495	LR: 0.000800
Training Epoch: 18 [17152/47500]	Loss: 0.3209	LR: 0.000800
Training Epoch: 18 [17408/47500]	Loss: 0.4243	LR: 0.000800
Training Epoch: 18 [17664/47500]	Loss: 0.3772	LR: 0.000800
Training Epoch: 18 [17920/47500]	Loss: 0.3702	LR: 0.000800
Training Epoch: 18 [18176/47500]	Loss: 0.2978	LR: 0.000800
Training Epoch: 18 [18432/47500]	Loss: 0.2811	LR: 0.000800
Training Epoch: 18 [18688/47500]	Loss: 0.3571	LR: 0.000800
Training Epoch: 18 [18944/47500]	Loss: 0.2614	LR: 0.000800
Training Epoch: 18 [19200/47500]	Loss: 0.3326	LR: 0.000800
Training Epoch: 18 [19456/47500]	Loss: 0.2717	LR: 0.000800
Training Epoch: 18 [19712/47500]	Loss: 0.3319	LR: 0.000800
Training Epoch: 18 [19968/47500]	Loss: 0.3430	LR: 0.000800
Training Epoch: 18 [20224/47500]	Loss: 0.3018	LR: 0.000800
Training Epoch: 18 [20480/47500]	Loss: 0.3652	LR: 0.000800
Training Epoch: 18 [20736/47500]	Loss: 0.2682	LR: 0.000800
Training Epoch: 18 [20992/47500]	Loss: 0.2773	LR: 0.000800
Training Epoch: 18 [21248/47500]	Loss: 0.3122	LR: 0.000800
Training Epoch: 18 [21504/47500]	Loss: 0.3154	LR: 0.000800
Training Epoch: 18 [21760/47500]	Loss: 0.3182	LR: 0.000800
Training Epoch: 18 [22016/47500]	Loss: 0.2346	LR: 0.000800
Training Epoch: 18 [22272/47500]	Loss: 0.2795	LR: 0.000800
Training Epoch: 18 [22528/47500]	Loss: 0.2861	LR: 0.000800
Training Epoch: 18 [22784/47500]	Loss: 0.2385	LR: 0.000800
Training Epoch: 18 [23040/47500]	Loss: 0.3137	LR: 0.000800
Training Epoch: 18 [23296/47500]	Loss: 0.3810	LR: 0.000800
Training Epoch: 18 [23552/47500]	Loss: 0.2880	LR: 0.000800
Training Epoch: 18 [23808/47500]	Loss: 0.2568	LR: 0.000800
Training Epoch: 18 [24064/47500]	Loss: 0.2877	LR: 0.000800
Training Epoch: 18 [24320/47500]	Loss: 0.2525	LR: 0.000800
Training Epoch: 18 [24576/47500]	Loss: 0.2709	LR: 0.000800
Training Epoch: 18 [24832/47500]	Loss: 0.3330	LR: 0.000800
Training Epoch: 18 [25088/47500]	Loss: 0.3034	LR: 0.000800
Training Epoch: 18 [25344/47500]	Loss: 0.2856	LR: 0.000800
Training Epoch: 18 [25600/47500]	Loss: 0.2547	LR: 0.000800
Training Epoch: 18 [25856/47500]	Loss: 0.2628	LR: 0.000800
Training Epoch: 18 [26112/47500]	Loss: 0.3689	LR: 0.000800
Training Epoch: 18 [26368/47500]	Loss: 0.2900	LR: 0.000800
Training Epoch: 18 [26624/47500]	Loss: 0.2797	LR: 0.000800
Training Epoch: 18 [26880/47500]	Loss: 0.3983	LR: 0.000800
Training Epoch: 18 [27136/47500]	Loss: 0.3471	LR: 0.000800
Training Epoch: 18 [27392/47500]	Loss: 0.3390	LR: 0.000800
Training Epoch: 18 [27648/47500]	Loss: 0.4033	LR: 0.000800
Training Epoch: 18 [27904/47500]	Loss: 0.3438	LR: 0.000800
Training Epoch: 18 [28160/47500]	Loss: 0.3089	LR: 0.000800
Training Epoch: 18 [28416/47500]	Loss: 0.2931	LR: 0.000800
Training Epoch: 18 [28672/47500]	Loss: 0.3437	LR: 0.000800
Training Epoch: 18 [28928/47500]	Loss: 0.3196	LR: 0.000800
Training Epoch: 18 [29184/47500]	Loss: 0.2710	LR: 0.000800
Training Epoch: 18 [29440/47500]	Loss: 0.3212	LR: 0.000800
Training Epoch: 18 [29696/47500]	Loss: 0.2930	LR: 0.000800
Training Epoch: 18 [29952/47500]	Loss: 0.2369	LR: 0.000800
Training Epoch: 18 [30208/47500]	Loss: 0.2848	LR: 0.000800
Training Epoch: 18 [30464/47500]	Loss: 0.3072	LR: 0.000800
Training Epoch: 18 [30720/47500]	Loss: 0.2986	LR: 0.000800
Training Epoch: 18 [30976/47500]	Loss: 0.3109	LR: 0.000800
Training Epoch: 18 [31232/47500]	Loss: 0.3191	LR: 0.000800
Training Epoch: 18 [31488/47500]	Loss: 0.3388	LR: 0.000800
Training Epoch: 18 [31744/47500]	Loss: 0.3304	LR: 0.000800
Training Epoch: 18 [32000/47500]	Loss: 0.3226	LR: 0.000800
Training Epoch: 18 [32256/47500]	Loss: 0.2854	LR: 0.000800
Training Epoch: 18 [32512/47500]	Loss: 0.3582	LR: 0.000800
Training Epoch: 18 [32768/47500]	Loss: 0.2976	LR: 0.000800
Training Epoch: 18 [33024/47500]	Loss: 0.3498	LR: 0.000800
Training Epoch: 18 [33280/47500]	Loss: 0.2187	LR: 0.000800
Training Epoch: 18 [33536/47500]	Loss: 0.2569	LR: 0.000800
Training Epoch: 18 [33792/47500]	Loss: 0.3108	LR: 0.000800
Training Epoch: 18 [34048/47500]	Loss: 0.2835	LR: 0.000800
Training Epoch: 18 [34304/47500]	Loss: 0.2688	LR: 0.000800
Training Epoch: 18 [34560/47500]	Loss: 0.2888	LR: 0.000800
Training Epoch: 18 [34816/47500]	Loss: 0.2915	LR: 0.000800
Training Epoch: 18 [35072/47500]	Loss: 0.2888	LR: 0.000800
Training Epoch: 18 [35328/47500]	Loss: 0.3042	LR: 0.000800
Training Epoch: 18 [35584/47500]	Loss: 0.3396	LR: 0.000800
Training Epoch: 18 [35840/47500]	Loss: 0.3086	LR: 0.000800
Training Epoch: 18 [36096/47500]	Loss: 0.2610	LR: 0.000800
Training Epoch: 18 [36352/47500]	Loss: 0.3309	LR: 0.000800
Training Epoch: 18 [36608/47500]	Loss: 0.3691	LR: 0.000800
Training Epoch: 18 [36864/47500]	Loss: 0.2839	LR: 0.000800
Training Epoch: 18 [37120/47500]	Loss: 0.2981	LR: 0.000800
Training Epoch: 18 [37376/47500]	Loss: 0.3176	LR: 0.000800
Training Epoch: 18 [37632/47500]	Loss: 0.3095	LR: 0.000800
Training Epoch: 18 [37888/47500]	Loss: 0.3103	LR: 0.000800
Training Epoch: 18 [38144/47500]	Loss: 0.3125	LR: 0.000800
Training Epoch: 18 [38400/47500]	Loss: 0.3054	LR: 0.000800
Training Epoch: 18 [38656/47500]	Loss: 0.2593	LR: 0.000800
Training Epoch: 18 [38912/47500]	Loss: 0.3348	LR: 0.000800
Training Epoch: 18 [39168/47500]	Loss: 0.3601	LR: 0.000800
Training Epoch: 18 [39424/47500]	Loss: 0.2326	LR: 0.000800
Training Epoch: 18 [39680/47500]	Loss: 0.3856	LR: 0.000800
Training Epoch: 18 [39936/47500]	Loss: 0.2857	LR: 0.000800
Training Epoch: 18 [40192/47500]	Loss: 0.3179	LR: 0.000800
Training Epoch: 18 [40448/47500]	Loss: 0.3466	LR: 0.000800
Training Epoch: 18 [40704/47500]	Loss: 0.3449	LR: 0.000800
Training Epoch: 18 [40960/47500]	Loss: 0.3445	LR: 0.000800
Training Epoch: 18 [41216/47500]	Loss: 0.2890	LR: 0.000800
Training Epoch: 18 [41472/47500]	Loss: 0.3225	LR: 0.000800
Training Epoch: 18 [41728/47500]	Loss: 0.3619	LR: 0.000800
Training Epoch: 18 [41984/47500]	Loss: 0.3480	LR: 0.000800
Training Epoch: 18 [42240/47500]	Loss: 0.2606	LR: 0.000800
Training Epoch: 18 [42496/47500]	Loss: 0.2929	LR: 0.000800
Training Epoch: 18 [42752/47500]	Loss: 0.3165	LR: 0.000800
Training Epoch: 18 [43008/47500]	Loss: 0.2789	LR: 0.000800
Training Epoch: 18 [43264/47500]	Loss: 0.3440	LR: 0.000800
Training Epoch: 18 [43520/47500]	Loss: 0.2724	LR: 0.000800
Training Epoch: 18 [43776/47500]	Loss: 0.3100	LR: 0.000800
Training Epoch: 18 [44032/47500]	Loss: 0.3123	LR: 0.000800
Training Epoch: 18 [44288/47500]	Loss: 0.3463	LR: 0.000800
Training Epoch: 18 [44544/47500]	Loss: 0.2598	LR: 0.000800
Training Epoch: 18 [44800/47500]	Loss: 0.2735	LR: 0.000800
Training Epoch: 18 [45056/47500]	Loss: 0.2984	LR: 0.000800
Training Epoch: 18 [45312/47500]	Loss: 0.2692	LR: 0.000800
Training Epoch: 18 [45568/47500]	Loss: 0.3476	LR: 0.000800
Training Epoch: 18 [45824/47500]	Loss: 0.3406	LR: 0.000800
Training Epoch: 18 [46080/47500]	Loss: 0.2841	LR: 0.000800
Training Epoch: 18 [46336/47500]	Loss: 0.3356	LR: 0.000800
Training Epoch: 18 [46592/47500]	Loss: 0.2864	LR: 0.000800
Training Epoch: 18 [46848/47500]	Loss: 0.3865	LR: 0.000800
Training Epoch: 18 [47104/47500]	Loss: 0.2840	LR: 0.000800
Training Epoch: 18 [47360/47500]	Loss: 0.2973	LR: 0.000800
Training Epoch: 18 [47500/47500]	Loss: 0.3211	LR: 0.000800
Epoch 18 - Average Train Loss: 0.3099, Train Accuracy: 0.8955
Epoch 18 training time consumed: 26.70s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0015, Accuracy: 0.8734, Time consumed:0.94s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_02h_13m_37s/AllCNN-Cifar10-seed9-ret50-18-best.pth
Training Epoch: 19 [256/47500]	Loss: 0.3567	LR: 0.000800
Training Epoch: 19 [512/47500]	Loss: 0.2887	LR: 0.000800
Training Epoch: 19 [768/47500]	Loss: 0.2598	LR: 0.000800
Training Epoch: 19 [1024/47500]	Loss: 0.3146	LR: 0.000800
Training Epoch: 19 [1280/47500]	Loss: 0.3235	LR: 0.000800
Training Epoch: 19 [1536/47500]	Loss: 0.2371	LR: 0.000800
Training Epoch: 19 [1792/47500]	Loss: 0.2674	LR: 0.000800
Training Epoch: 19 [2048/47500]	Loss: 0.2388	LR: 0.000800
Training Epoch: 19 [2304/47500]	Loss: 0.3312	LR: 0.000800
Training Epoch: 19 [2560/47500]	Loss: 0.3227	LR: 0.000800
Training Epoch: 19 [2816/47500]	Loss: 0.2929	LR: 0.000800
Training Epoch: 19 [3072/47500]	Loss: 0.3140	LR: 0.000800
Training Epoch: 19 [3328/47500]	Loss: 0.2687	LR: 0.000800
Training Epoch: 19 [3584/47500]	Loss: 0.2620	LR: 0.000800
Training Epoch: 19 [3840/47500]	Loss: 0.2439	LR: 0.000800
Training Epoch: 19 [4096/47500]	Loss: 0.4300	LR: 0.000800
Training Epoch: 19 [4352/47500]	Loss: 0.4319	LR: 0.000800
Training Epoch: 19 [4608/47500]	Loss: 0.2644	LR: 0.000800
Training Epoch: 19 [4864/47500]	Loss: 0.3567	LR: 0.000800
Training Epoch: 19 [5120/47500]	Loss: 0.3168	LR: 0.000800
Training Epoch: 19 [5376/47500]	Loss: 0.3126	LR: 0.000800
Training Epoch: 19 [5632/47500]	Loss: 0.3075	LR: 0.000800
Training Epoch: 19 [5888/47500]	Loss: 0.3523	LR: 0.000800
Training Epoch: 19 [6144/47500]	Loss: 0.3009	LR: 0.000800
Training Epoch: 19 [6400/47500]	Loss: 0.2832	LR: 0.000800
Training Epoch: 19 [6656/47500]	Loss: 0.2552	LR: 0.000800
Training Epoch: 19 [6912/47500]	Loss: 0.2886	LR: 0.000800
Training Epoch: 19 [7168/47500]	Loss: 0.2919	LR: 0.000800
Training Epoch: 19 [7424/47500]	Loss: 0.3658	LR: 0.000800
Training Epoch: 19 [7680/47500]	Loss: 0.2599	LR: 0.000800
Training Epoch: 19 [7936/47500]	Loss: 0.2214	LR: 0.000800
Training Epoch: 19 [8192/47500]	Loss: 0.2569	LR: 0.000800
Training Epoch: 19 [8448/47500]	Loss: 0.2540	LR: 0.000800
Training Epoch: 19 [8704/47500]	Loss: 0.3415	LR: 0.000800
Training Epoch: 19 [8960/47500]	Loss: 0.3282	LR: 0.000800
Training Epoch: 19 [9216/47500]	Loss: 0.2962	LR: 0.000800
Training Epoch: 19 [9472/47500]	Loss: 0.3086	LR: 0.000800
Training Epoch: 19 [9728/47500]	Loss: 0.3141	LR: 0.000800
Training Epoch: 19 [9984/47500]	Loss: 0.2698	LR: 0.000800
Training Epoch: 19 [10240/47500]	Loss: 0.3304	LR: 0.000800
Training Epoch: 19 [10496/47500]	Loss: 0.2977	LR: 0.000800
Training Epoch: 19 [10752/47500]	Loss: 0.2403	LR: 0.000800
Training Epoch: 19 [11008/47500]	Loss: 0.3749	LR: 0.000800
Training Epoch: 19 [11264/47500]	Loss: 0.4003	LR: 0.000800
Training Epoch: 19 [11520/47500]	Loss: 0.3734	LR: 0.000800
Training Epoch: 19 [11776/47500]	Loss: 0.2678	LR: 0.000800
Training Epoch: 19 [12032/47500]	Loss: 0.2841	LR: 0.000800
Training Epoch: 19 [12288/47500]	Loss: 0.3004	LR: 0.000800
Training Epoch: 19 [12544/47500]	Loss: 0.2588	LR: 0.000800
Training Epoch: 19 [12800/47500]	Loss: 0.3181	LR: 0.000800
Training Epoch: 19 [13056/47500]	Loss: 0.3500	LR: 0.000800
Training Epoch: 19 [13312/47500]	Loss: 0.2707	LR: 0.000800
Training Epoch: 19 [13568/47500]	Loss: 0.3150	LR: 0.000800
Training Epoch: 19 [13824/47500]	Loss: 0.2906	LR: 0.000800
Training Epoch: 19 [14080/47500]	Loss: 0.2967	LR: 0.000800
Training Epoch: 19 [14336/47500]	Loss: 0.3722	LR: 0.000800
Training Epoch: 19 [14592/47500]	Loss: 0.3218	LR: 0.000800
Training Epoch: 19 [14848/47500]	Loss: 0.2906	LR: 0.000800
Training Epoch: 19 [15104/47500]	Loss: 0.3003	LR: 0.000800
Training Epoch: 19 [15360/47500]	Loss: 0.3232	LR: 0.000800
Training Epoch: 19 [15616/47500]	Loss: 0.3224	LR: 0.000800
Training Epoch: 19 [15872/47500]	Loss: 0.3143	LR: 0.000800
Training Epoch: 19 [16128/47500]	Loss: 0.2501	LR: 0.000800
Training Epoch: 19 [16384/47500]	Loss: 0.3498	LR: 0.000800
Training Epoch: 19 [16640/47500]	Loss: 0.3930	LR: 0.000800
Training Epoch: 19 [16896/47500]	Loss: 0.3429	LR: 0.000800
Training Epoch: 19 [17152/47500]	Loss: 0.2356	LR: 0.000800
Training Epoch: 19 [17408/47500]	Loss: 0.3842	LR: 0.000800
Training Epoch: 19 [17664/47500]	Loss: 0.2884	LR: 0.000800
Training Epoch: 19 [17920/47500]	Loss: 0.3094	LR: 0.000800
Training Epoch: 19 [18176/47500]	Loss: 0.3226	LR: 0.000800
Training Epoch: 19 [18432/47500]	Loss: 0.3006	LR: 0.000800
Training Epoch: 19 [18688/47500]	Loss: 0.3921	LR: 0.000800
Training Epoch: 19 [18944/47500]	Loss: 0.2750	LR: 0.000800
Training Epoch: 19 [19200/47500]	Loss: 0.3163	LR: 0.000800
Training Epoch: 19 [19456/47500]	Loss: 0.2911	LR: 0.000800
Training Epoch: 19 [19712/47500]	Loss: 0.2978	LR: 0.000800
Training Epoch: 19 [19968/47500]	Loss: 0.2489	LR: 0.000800
Training Epoch: 19 [20224/47500]	Loss: 0.3101	LR: 0.000800
Training Epoch: 19 [20480/47500]	Loss: 0.3110	LR: 0.000800
Training Epoch: 19 [20736/47500]	Loss: 0.2698	LR: 0.000800
Training Epoch: 19 [20992/47500]	Loss: 0.3132	LR: 0.000800
Training Epoch: 19 [21248/47500]	Loss: 0.2963	LR: 0.000800
Training Epoch: 19 [21504/47500]	Loss: 0.3396	LR: 0.000800
Training Epoch: 19 [21760/47500]	Loss: 0.2981	LR: 0.000800
Training Epoch: 19 [22016/47500]	Loss: 0.3533	LR: 0.000800
Training Epoch: 19 [22272/47500]	Loss: 0.3189	LR: 0.000800
Training Epoch: 19 [22528/47500]	Loss: 0.3433	LR: 0.000800
Training Epoch: 19 [22784/47500]	Loss: 0.3393	LR: 0.000800
Training Epoch: 19 [23040/47500]	Loss: 0.3560	LR: 0.000800
Training Epoch: 19 [23296/47500]	Loss: 0.3001	LR: 0.000800
Training Epoch: 19 [23552/47500]	Loss: 0.3111	LR: 0.000800
Training Epoch: 19 [23808/47500]	Loss: 0.3093	LR: 0.000800
Training Epoch: 19 [24064/47500]	Loss: 0.2701	LR: 0.000800
Training Epoch: 19 [24320/47500]	Loss: 0.3596	LR: 0.000800
Training Epoch: 19 [24576/47500]	Loss: 0.3289	LR: 0.000800
Training Epoch: 19 [24832/47500]	Loss: 0.1770	LR: 0.000800
Training Epoch: 19 [25088/47500]	Loss: 0.3052	LR: 0.000800
Training Epoch: 19 [25344/47500]	Loss: 0.2349	LR: 0.000800
Training Epoch: 19 [25600/47500]	Loss: 0.2915	LR: 0.000800
Training Epoch: 19 [25856/47500]	Loss: 0.3128	LR: 0.000800
Training Epoch: 19 [26112/47500]	Loss: 0.3062	LR: 0.000800
Training Epoch: 19 [26368/47500]	Loss: 0.2601	LR: 0.000800
Training Epoch: 19 [26624/47500]	Loss: 0.2877	LR: 0.000800
Training Epoch: 19 [26880/47500]	Loss: 0.3261	LR: 0.000800
Training Epoch: 19 [27136/47500]	Loss: 0.3181	LR: 0.000800
Training Epoch: 19 [27392/47500]	Loss: 0.2897	LR: 0.000800
Training Epoch: 19 [27648/47500]	Loss: 0.3356	LR: 0.000800
Training Epoch: 19 [27904/47500]	Loss: 0.2971	LR: 0.000800
Training Epoch: 19 [28160/47500]	Loss: 0.2393	LR: 0.000800
Training Epoch: 19 [28416/47500]	Loss: 0.2754	LR: 0.000800
Training Epoch: 19 [28672/47500]	Loss: 0.2807	LR: 0.000800
Training Epoch: 19 [28928/47500]	Loss: 0.2948	LR: 0.000800
Training Epoch: 19 [29184/47500]	Loss: 0.2582	LR: 0.000800
Training Epoch: 19 [29440/47500]	Loss: 0.2362	LR: 0.000800
Training Epoch: 19 [29696/47500]	Loss: 0.3161	LR: 0.000800
Training Epoch: 19 [29952/47500]	Loss: 0.2544	LR: 0.000800
Training Epoch: 19 [30208/47500]	Loss: 0.3111	LR: 0.000800
Training Epoch: 19 [30464/47500]	Loss: 0.3935	LR: 0.000800
Training Epoch: 19 [30720/47500]	Loss: 0.3173	LR: 0.000800
Training Epoch: 19 [30976/47500]	Loss: 0.3331	LR: 0.000800
Training Epoch: 19 [31232/47500]	Loss: 0.3348	LR: 0.000800
Training Epoch: 19 [31488/47500]	Loss: 0.3081	LR: 0.000800
Training Epoch: 19 [31744/47500]	Loss: 0.2926	LR: 0.000800
Training Epoch: 19 [32000/47500]	Loss: 0.3794	LR: 0.000800
Training Epoch: 19 [32256/47500]	Loss: 0.2875	LR: 0.000800
Training Epoch: 19 [32512/47500]	Loss: 0.3525	LR: 0.000800
Training Epoch: 19 [32768/47500]	Loss: 0.3395	LR: 0.000800
Training Epoch: 19 [33024/47500]	Loss: 0.3760	LR: 0.000800
Training Epoch: 19 [33280/47500]	Loss: 0.3067	LR: 0.000800
Training Epoch: 19 [33536/47500]	Loss: 0.2761	LR: 0.000800
Training Epoch: 19 [33792/47500]	Loss: 0.2821	LR: 0.000800
Training Epoch: 19 [34048/47500]	Loss: 0.4111	LR: 0.000800
Training Epoch: 19 [34304/47500]	Loss: 0.3182	LR: 0.000800
Training Epoch: 19 [34560/47500]	Loss: 0.2793	LR: 0.000800
Training Epoch: 19 [34816/47500]	Loss: 0.2937	LR: 0.000800
Training Epoch: 19 [35072/47500]	Loss: 0.2909	LR: 0.000800
Training Epoch: 19 [35328/47500]	Loss: 0.3805	LR: 0.000800
Training Epoch: 19 [35584/47500]	Loss: 0.3167	LR: 0.000800
Training Epoch: 19 [35840/47500]	Loss: 0.2611	LR: 0.000800
Training Epoch: 19 [36096/47500]	Loss: 0.2832	LR: 0.000800
Training Epoch: 19 [36352/47500]	Loss: 0.2561	LR: 0.000800
Training Epoch: 19 [36608/47500]	Loss: 0.3039	LR: 0.000800
Training Epoch: 19 [36864/47500]	Loss: 0.3388	LR: 0.000800
Training Epoch: 19 [37120/47500]	Loss: 0.2843	LR: 0.000800
Training Epoch: 19 [37376/47500]	Loss: 0.3176	LR: 0.000800
Training Epoch: 19 [37632/47500]	Loss: 0.3105	LR: 0.000800
Training Epoch: 19 [37888/47500]	Loss: 0.3637	LR: 0.000800
Training Epoch: 19 [38144/47500]	Loss: 0.2741	LR: 0.000800
Training Epoch: 19 [38400/47500]	Loss: 0.2754	LR: 0.000800
Training Epoch: 19 [38656/47500]	Loss: 0.2243	LR: 0.000800
Training Epoch: 19 [38912/47500]	Loss: 0.3012	LR: 0.000800
Training Epoch: 19 [39168/47500]	Loss: 0.3044	LR: 0.000800
Training Epoch: 19 [39424/47500]	Loss: 0.2972	LR: 0.000800
Training Epoch: 19 [39680/47500]	Loss: 0.3217	LR: 0.000800
Training Epoch: 19 [39936/47500]	Loss: 0.2685	LR: 0.000800
Training Epoch: 19 [40192/47500]	Loss: 0.3386	LR: 0.000800
Training Epoch: 19 [40448/47500]	Loss: 0.3023	LR: 0.000800
Training Epoch: 19 [40704/47500]	Loss: 0.3299	LR: 0.000800
Training Epoch: 19 [40960/47500]	Loss: 0.2790	LR: 0.000800
Training Epoch: 19 [41216/47500]	Loss: 0.3249	LR: 0.000800
Training Epoch: 19 [41472/47500]	Loss: 0.3491	LR: 0.000800
Training Epoch: 19 [41728/47500]	Loss: 0.3046	LR: 0.000800
Training Epoch: 19 [41984/47500]	Loss: 0.2850	LR: 0.000800
Training Epoch: 19 [42240/47500]	Loss: 0.3196	LR: 0.000800
Training Epoch: 19 [42496/47500]	Loss: 0.3571	LR: 0.000800
Training Epoch: 19 [42752/47500]	Loss: 0.3609	LR: 0.000800
Training Epoch: 19 [43008/47500]	Loss: 0.3899	LR: 0.000800
Training Epoch: 19 [43264/47500]	Loss: 0.3287	LR: 0.000800
Training Epoch: 19 [43520/47500]	Loss: 0.2472	LR: 0.000800
Training Epoch: 19 [43776/47500]	Loss: 0.2771	LR: 0.000800
Training Epoch: 19 [44032/47500]	Loss: 0.3216	LR: 0.000800
Training Epoch: 19 [44288/47500]	Loss: 0.3507	LR: 0.000800
Training Epoch: 19 [44544/47500]	Loss: 0.2388	LR: 0.000800
Training Epoch: 19 [44800/47500]	Loss: 0.2287	LR: 0.000800
Training Epoch: 19 [45056/47500]	Loss: 0.3193	LR: 0.000800
Training Epoch: 19 [45312/47500]	Loss: 0.4291	LR: 0.000800
Training Epoch: 19 [45568/47500]	Loss: 0.2317	LR: 0.000800
Training Epoch: 19 [45824/47500]	Loss: 0.3010	LR: 0.000800
Training Epoch: 19 [46080/47500]	Loss: 0.2673	LR: 0.000800
Training Epoch: 19 [46336/47500]	Loss: 0.3464	LR: 0.000800
Training Epoch: 19 [46592/47500]	Loss: 0.3020	LR: 0.000800
Training Epoch: 19 [46848/47500]	Loss: 0.3162	LR: 0.000800
Training Epoch: 19 [47104/47500]	Loss: 0.3228	LR: 0.000800
Training Epoch: 19 [47360/47500]	Loss: 0.2966	LR: 0.000800
Training Epoch: 19 [47500/47500]	Loss: 0.3321	LR: 0.000800
Epoch 19 - Average Train Loss: 0.3071, Train Accuracy: 0.8954
Epoch 19 training time consumed: 27.01s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0015, Accuracy: 0.8739, Time consumed:0.93s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_02h_13m_37s/AllCNN-Cifar10-seed9-ret50-19-best.pth
Training Epoch: 20 [256/47500]	Loss: 0.3135	LR: 0.000800
Training Epoch: 20 [512/47500]	Loss: 0.3108	LR: 0.000800
Training Epoch: 20 [768/47500]	Loss: 0.3831	LR: 0.000800
Training Epoch: 20 [1024/47500]	Loss: 0.3204	LR: 0.000800
Training Epoch: 20 [1280/47500]	Loss: 0.3027	LR: 0.000800
Training Epoch: 20 [1536/47500]	Loss: 0.3721	LR: 0.000800
Training Epoch: 20 [1792/47500]	Loss: 0.2514	LR: 0.000800
Training Epoch: 20 [2048/47500]	Loss: 0.3252	LR: 0.000800
Training Epoch: 20 [2304/47500]	Loss: 0.3828	LR: 0.000800
Training Epoch: 20 [2560/47500]	Loss: 0.3629	LR: 0.000800
Training Epoch: 20 [2816/47500]	Loss: 0.2641	LR: 0.000800
Training Epoch: 20 [3072/47500]	Loss: 0.2872	LR: 0.000800
Training Epoch: 20 [3328/47500]	Loss: 0.2571	LR: 0.000800
Training Epoch: 20 [3584/47500]	Loss: 0.2382	LR: 0.000800
Training Epoch: 20 [3840/47500]	Loss: 0.3050	LR: 0.000800
Training Epoch: 20 [4096/47500]	Loss: 0.3208	LR: 0.000800
Training Epoch: 20 [4352/47500]	Loss: 0.2979	LR: 0.000800
Training Epoch: 20 [4608/47500]	Loss: 0.3169	LR: 0.000800
Training Epoch: 20 [4864/47500]	Loss: 0.3219	LR: 0.000800
Training Epoch: 20 [5120/47500]	Loss: 0.2561	LR: 0.000800
Training Epoch: 20 [5376/47500]	Loss: 0.3150	LR: 0.000800
Training Epoch: 20 [5632/47500]	Loss: 0.3407	LR: 0.000800
Training Epoch: 20 [5888/47500]	Loss: 0.2680	LR: 0.000800
Training Epoch: 20 [6144/47500]	Loss: 0.3570	LR: 0.000800
Training Epoch: 20 [6400/47500]	Loss: 0.3122	LR: 0.000800
Training Epoch: 20 [6656/47500]	Loss: 0.3051	LR: 0.000800
Training Epoch: 20 [6912/47500]	Loss: 0.2412	LR: 0.000800
Training Epoch: 20 [7168/47500]	Loss: 0.2693	LR: 0.000800
Training Epoch: 20 [7424/47500]	Loss: 0.2178	LR: 0.000800
Training Epoch: 20 [7680/47500]	Loss: 0.3798	LR: 0.000800
Training Epoch: 20 [7936/47500]	Loss: 0.3367	LR: 0.000800
Training Epoch: 20 [8192/47500]	Loss: 0.3509	LR: 0.000800
Training Epoch: 20 [8448/47500]	Loss: 0.3750	LR: 0.000800
Training Epoch: 20 [8704/47500]	Loss: 0.3149	LR: 0.000800
Training Epoch: 20 [8960/47500]	Loss: 0.3071	LR: 0.000800
Training Epoch: 20 [9216/47500]	Loss: 0.3535	LR: 0.000800
Training Epoch: 20 [9472/47500]	Loss: 0.2219	LR: 0.000800
Training Epoch: 20 [9728/47500]	Loss: 0.3850	LR: 0.000800
Training Epoch: 20 [9984/47500]	Loss: 0.2925	LR: 0.000800
Training Epoch: 20 [10240/47500]	Loss: 0.3526	LR: 0.000800
Training Epoch: 20 [10496/47500]	Loss: 0.2421	LR: 0.000800
Training Epoch: 20 [10752/47500]	Loss: 0.3211	LR: 0.000800
Training Epoch: 20 [11008/47500]	Loss: 0.2786	LR: 0.000800
Training Epoch: 20 [11264/47500]	Loss: 0.3194	LR: 0.000800
Training Epoch: 20 [11520/47500]	Loss: 0.3157	LR: 0.000800
Training Epoch: 20 [11776/47500]	Loss: 0.2959	LR: 0.000800
Training Epoch: 20 [12032/47500]	Loss: 0.3140	LR: 0.000800
Training Epoch: 20 [12288/47500]	Loss: 0.3506	LR: 0.000800
Training Epoch: 20 [12544/47500]	Loss: 0.3032	LR: 0.000800
Training Epoch: 20 [12800/47500]	Loss: 0.3028	LR: 0.000800
Training Epoch: 20 [13056/47500]	Loss: 0.3321	LR: 0.000800
Training Epoch: 20 [13312/47500]	Loss: 0.2275	LR: 0.000800
Training Epoch: 20 [13568/47500]	Loss: 0.3279	LR: 0.000800
Training Epoch: 20 [13824/47500]	Loss: 0.2467	LR: 0.000800
Training Epoch: 20 [14080/47500]	Loss: 0.3173	LR: 0.000800
Training Epoch: 20 [14336/47500]	Loss: 0.3438	LR: 0.000800
Training Epoch: 20 [14592/47500]	Loss: 0.3070	LR: 0.000800
Training Epoch: 20 [14848/47500]	Loss: 0.3499	LR: 0.000800
Training Epoch: 20 [15104/47500]	Loss: 0.2711	LR: 0.000800
Training Epoch: 20 [15360/47500]	Loss: 0.2487	LR: 0.000800
Training Epoch: 20 [15616/47500]	Loss: 0.3134	LR: 0.000800
Training Epoch: 20 [15872/47500]	Loss: 0.3364	LR: 0.000800
Training Epoch: 20 [16128/47500]	Loss: 0.3092	LR: 0.000800
Training Epoch: 20 [16384/47500]	Loss: 0.3819	LR: 0.000800
Training Epoch: 20 [16640/47500]	Loss: 0.3300	LR: 0.000800
Training Epoch: 20 [16896/47500]	Loss: 0.3082	LR: 0.000800
Training Epoch: 20 [17152/47500]	Loss: 0.2249	LR: 0.000800
Training Epoch: 20 [17408/47500]	Loss: 0.2814	LR: 0.000800
Training Epoch: 20 [17664/47500]	Loss: 0.2774	LR: 0.000800
Training Epoch: 20 [17920/47500]	Loss: 0.3104	LR: 0.000800
Training Epoch: 20 [18176/47500]	Loss: 0.2902	LR: 0.000800
Training Epoch: 20 [18432/47500]	Loss: 0.2995	LR: 0.000800
Training Epoch: 20 [18688/47500]	Loss: 0.3127	LR: 0.000800
Training Epoch: 20 [18944/47500]	Loss: 0.3832	LR: 0.000800
Training Epoch: 20 [19200/47500]	Loss: 0.2817	LR: 0.000800
Training Epoch: 20 [19456/47500]	Loss: 0.3460	LR: 0.000800
Training Epoch: 20 [19712/47500]	Loss: 0.3700	LR: 0.000800
Training Epoch: 20 [19968/47500]	Loss: 0.2449	LR: 0.000800
Training Epoch: 20 [20224/47500]	Loss: 0.3035	LR: 0.000800
Training Epoch: 20 [20480/47500]	Loss: 0.4225	LR: 0.000800
Training Epoch: 20 [20736/47500]	Loss: 0.3158	LR: 0.000800
Training Epoch: 20 [20992/47500]	Loss: 0.3102	LR: 0.000800
Training Epoch: 20 [21248/47500]	Loss: 0.2828	LR: 0.000800
Training Epoch: 20 [21504/47500]	Loss: 0.2853	LR: 0.000800
Training Epoch: 20 [21760/47500]	Loss: 0.3312	LR: 0.000800
Training Epoch: 20 [22016/47500]	Loss: 0.2474	LR: 0.000800
Training Epoch: 20 [22272/47500]	Loss: 0.2812	LR: 0.000800
Training Epoch: 20 [22528/47500]	Loss: 0.3439	LR: 0.000800
Training Epoch: 20 [22784/47500]	Loss: 0.3154	LR: 0.000800
Training Epoch: 20 [23040/47500]	Loss: 0.2854	LR: 0.000800
Training Epoch: 20 [23296/47500]	Loss: 0.3318	LR: 0.000800
Training Epoch: 20 [23552/47500]	Loss: 0.2724	LR: 0.000800
Training Epoch: 20 [23808/47500]	Loss: 0.2948	LR: 0.000800
Training Epoch: 20 [24064/47500]	Loss: 0.2941	LR: 0.000800
Training Epoch: 20 [24320/47500]	Loss: 0.2453	LR: 0.000800
Training Epoch: 20 [24576/47500]	Loss: 0.3900	LR: 0.000800
Training Epoch: 20 [24832/47500]	Loss: 0.3534	LR: 0.000800
Training Epoch: 20 [25088/47500]	Loss: 0.3265	LR: 0.000800
Training Epoch: 20 [25344/47500]	Loss: 0.2482	LR: 0.000800
Training Epoch: 20 [25600/47500]	Loss: 0.3726	LR: 0.000800
Training Epoch: 20 [25856/47500]	Loss: 0.2950	LR: 0.000800
Training Epoch: 20 [26112/47500]	Loss: 0.3695	LR: 0.000800
Training Epoch: 20 [26368/47500]	Loss: 0.2697	LR: 0.000800
Training Epoch: 20 [26624/47500]	Loss: 0.3061	LR: 0.000800
Training Epoch: 20 [26880/47500]	Loss: 0.3198	LR: 0.000800
Training Epoch: 20 [27136/47500]	Loss: 0.3860	LR: 0.000800
Training Epoch: 20 [27392/47500]	Loss: 0.3161	LR: 0.000800
Training Epoch: 20 [27648/47500]	Loss: 0.3422	LR: 0.000800
Training Epoch: 20 [27904/47500]	Loss: 0.3018	LR: 0.000800
Training Epoch: 20 [28160/47500]	Loss: 0.3047	LR: 0.000800
Training Epoch: 20 [28416/47500]	Loss: 0.3622	LR: 0.000800
Training Epoch: 20 [28672/47500]	Loss: 0.4284	LR: 0.000800
Training Epoch: 20 [28928/47500]	Loss: 0.2598	LR: 0.000800
Training Epoch: 20 [29184/47500]	Loss: 0.2409	LR: 0.000800
Training Epoch: 20 [29440/47500]	Loss: 0.3021	LR: 0.000800
Training Epoch: 20 [29696/47500]	Loss: 0.3014	LR: 0.000800
Training Epoch: 20 [29952/47500]	Loss: 0.2602	LR: 0.000800
Training Epoch: 20 [30208/47500]	Loss: 0.2935	LR: 0.000800
Training Epoch: 20 [30464/47500]	Loss: 0.2757	LR: 0.000800
Training Epoch: 20 [30720/47500]	Loss: 0.2745	LR: 0.000800
Training Epoch: 20 [30976/47500]	Loss: 0.2662	LR: 0.000800
Training Epoch: 20 [31232/47500]	Loss: 0.3023	LR: 0.000800
Training Epoch: 20 [31488/47500]	Loss: 0.2245	LR: 0.000800
Training Epoch: 20 [31744/47500]	Loss: 0.2843	LR: 0.000800
Training Epoch: 20 [32000/47500]	Loss: 0.2992	LR: 0.000800
Training Epoch: 20 [32256/47500]	Loss: 0.2462	LR: 0.000800
Training Epoch: 20 [32512/47500]	Loss: 0.3343	LR: 0.000800
Training Epoch: 20 [32768/47500]	Loss: 0.3188	LR: 0.000800
Training Epoch: 20 [33024/47500]	Loss: 0.2781	LR: 0.000800
Training Epoch: 20 [33280/47500]	Loss: 0.2550	LR: 0.000800
Training Epoch: 20 [33536/47500]	Loss: 0.2642	LR: 0.000800
Training Epoch: 20 [33792/47500]	Loss: 0.4162	LR: 0.000800
Training Epoch: 20 [34048/47500]	Loss: 0.3357	LR: 0.000800
Training Epoch: 20 [34304/47500]	Loss: 0.2763	LR: 0.000800
Training Epoch: 20 [34560/47500]	Loss: 0.3653	LR: 0.000800
Training Epoch: 20 [34816/47500]	Loss: 0.3643	LR: 0.000800
Training Epoch: 20 [35072/47500]	Loss: 0.2798	LR: 0.000800
Training Epoch: 20 [35328/47500]	Loss: 0.2055	LR: 0.000800
Training Epoch: 20 [35584/47500]	Loss: 0.3015	LR: 0.000800
Training Epoch: 20 [35840/47500]	Loss: 0.2745	LR: 0.000800
Training Epoch: 20 [36096/47500]	Loss: 0.3081	LR: 0.000800
Training Epoch: 20 [36352/47500]	Loss: 0.3230	LR: 0.000800
Training Epoch: 20 [36608/47500]	Loss: 0.3572	LR: 0.000800
Training Epoch: 20 [36864/47500]	Loss: 0.3430	LR: 0.000800
Training Epoch: 20 [37120/47500]	Loss: 0.2977	LR: 0.000800
Training Epoch: 20 [37376/47500]	Loss: 0.3358	LR: 0.000800
Training Epoch: 20 [37632/47500]	Loss: 0.2551	LR: 0.000800
Training Epoch: 20 [37888/47500]	Loss: 0.3043	LR: 0.000800
Training Epoch: 20 [38144/47500]	Loss: 0.3477	LR: 0.000800
Training Epoch: 20 [38400/47500]	Loss: 0.3582	LR: 0.000800
Training Epoch: 20 [38656/47500]	Loss: 0.2874	LR: 0.000800
Training Epoch: 20 [38912/47500]	Loss: 0.2484	LR: 0.000800
Training Epoch: 20 [39168/47500]	Loss: 0.3439	LR: 0.000800
Training Epoch: 20 [39424/47500]	Loss: 0.2796	LR: 0.000800
Training Epoch: 20 [39680/47500]	Loss: 0.3482	LR: 0.000800
Training Epoch: 20 [39936/47500]	Loss: 0.2775	LR: 0.000800
Training Epoch: 20 [40192/47500]	Loss: 0.2438	LR: 0.000800
Training Epoch: 20 [40448/47500]	Loss: 0.3126	LR: 0.000800
Training Epoch: 20 [40704/47500]	Loss: 0.3491	LR: 0.000800
Training Epoch: 20 [40960/47500]	Loss: 0.2828	LR: 0.000800
Training Epoch: 20 [41216/47500]	Loss: 0.3850	LR: 0.000800
Training Epoch: 20 [41472/47500]	Loss: 0.3549	LR: 0.000800
Training Epoch: 20 [41728/47500]	Loss: 0.3135	LR: 0.000800
Training Epoch: 20 [41984/47500]	Loss: 0.3282	LR: 0.000800
Training Epoch: 20 [42240/47500]	Loss: 0.2823	LR: 0.000800
Training Epoch: 20 [42496/47500]	Loss: 0.2732	LR: 0.000800
Training Epoch: 20 [42752/47500]	Loss: 0.3732	LR: 0.000800
Training Epoch: 20 [43008/47500]	Loss: 0.3209	LR: 0.000800
Training Epoch: 20 [43264/47500]	Loss: 0.3220	LR: 0.000800
Training Epoch: 20 [43520/47500]	Loss: 0.2597	LR: 0.000800
Training Epoch: 20 [43776/47500]	Loss: 0.3081	LR: 0.000800
Training Epoch: 20 [44032/47500]	Loss: 0.3337	LR: 0.000800
Training Epoch: 20 [44288/47500]	Loss: 0.3512	LR: 0.000800
Training Epoch: 20 [44544/47500]	Loss: 0.3164	LR: 0.000800
Training Epoch: 20 [44800/47500]	Loss: 0.3653	LR: 0.000800
Training Epoch: 20 [45056/47500]	Loss: 0.3596	LR: 0.000800
Training Epoch: 20 [45312/47500]	Loss: 0.2633	LR: 0.000800
Training Epoch: 20 [45568/47500]	Loss: 0.3314	LR: 0.000800
Training Epoch: 20 [45824/47500]	Loss: 0.3028	LR: 0.000800
Training Epoch: 20 [46080/47500]	Loss: 0.2288	LR: 0.000800
Training Epoch: 20 [46336/47500]	Loss: 0.2662	LR: 0.000800
Training Epoch: 20 [46592/47500]	Loss: 0.3515	LR: 0.000800
Training Epoch: 20 [46848/47500]	Loss: 0.2922	LR: 0.000800
Training Epoch: 20 [47104/47500]	Loss: 0.2949	LR: 0.000800
Training Epoch: 20 [47360/47500]	Loss: 0.2279	LR: 0.000800
Training Epoch: 20 [47500/47500]	Loss: 0.2841	LR: 0.000800
Epoch 20 - Average Train Loss: 0.3084, Train Accuracy: 0.8934
Epoch 20 training time consumed: 26.65s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0015, Accuracy: 0.8735, Time consumed:0.96s
Valid (Test) Dl:  10000
Train Dl:  50000
Retain Train Dl:  47500
Forget Train Dl:  2500
Retain Valid Dl:  47500
Forget Valid Dl:  2500
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 2500 samples
Set1 Distribution: 2500 samples
Set2 Distribution: 2500 samples
Set1 Distribution: 2500 samples
Set2 Distribution: 2500 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Test Accuracy: 87.5
Retain Accuracy: 89.92583465576172
Zero-Retain Forget (ZRF): 0.8566350936889648
Membership Inference Attack (MIA): 0.4388
Forget vs Retain Membership Inference Attack (MIA): 0.53
Forget vs Test Membership Inference Attack (MIA): 0.556
Test vs Retain Membership Inference Attack (MIA): 0.50225
Train vs Test Membership Inference Attack (MIA): 0.51
Forget Set Accuracy (Df): 86.18782043457031
Method Execution Time: 1064.76 seconds
