
📌 S Retain class distribution for seed 8:
Class 0: 450
Class 1: 450
Class 2: 450
Class 3: 450
Class 4: 450
Class 5: 450
Class 6: 450
Class 7: 450
Class 8: 450
Class 9: 450
Class 10: 450
Class 11: 450
Class 12: 450
Class 13: 450
Class 14: 450
Class 15: 450
Class 16: 450
Class 17: 450
Class 18: 450
Class 19: 450
Class 20: 450
Class 21: 450
Class 22: 450
Class 23: 450
Class 24: 450
Class 25: 450
Class 26: 450
Class 27: 450
Class 28: 450
Class 29: 450
Class 30: 450
Class 31: 450
Class 32: 450
Class 33: 450
Class 34: 450
Class 35: 450
Class 36: 450
Class 37: 450
Class 38: 450
Class 39: 450
Class 40: 450
Class 41: 450
Class 42: 450
Class 43: 450
Class 44: 450
Class 45: 450
Class 46: 450
Class 47: 450
Class 48: 450
Class 49: 450
Class 50: 450
Class 51: 450
Class 52: 450
Class 53: 450
Class 54: 450
Class 55: 450
Class 56: 450
Class 57: 450
Class 58: 450
Class 59: 450
Class 60: 450
Class 61: 450
Class 62: 450
Class 63: 450
Class 64: 450
Class 65: 450
Class 66: 450
Class 67: 450
Class 68: 450
Class 69: 450
Class 70: 450
Class 71: 450
Class 72: 450
Class 73: 450
Class 74: 450
Class 75: 450
Class 76: 450
Class 77: 450
Class 78: 450
Class 79: 450
Class 80: 450
Class 81: 450
Class 82: 450
Class 83: 450
Class 84: 450
Class 85: 450
Class 86: 450
Class 87: 450
Class 88: 450
Class 89: 450
Class 90: 450
Class 91: 450
Class 92: 450
Class 93: 450
Class 94: 450
Class 95: 450
Class 96: 450
Class 97: 450
Class 98: 450
Class 99: 450

📌 S Forget class distribution for seed 8:
Class 0: 50
Class 1: 50
Class 2: 50
Class 3: 50
Class 4: 50
Class 5: 50
Class 6: 50
Class 7: 50
Class 8: 50
Class 9: 50
Class 10: 50
Class 11: 50
Class 12: 50
Class 13: 50
Class 14: 50
Class 15: 50
Class 16: 50
Class 17: 50
Class 18: 50
Class 19: 50
Class 20: 50
Class 21: 50
Class 22: 50
Class 23: 50
Class 24: 50
Class 25: 50
Class 26: 50
Class 27: 50
Class 28: 50
Class 29: 50
Class 30: 50
Class 31: 50
Class 32: 50
Class 33: 50
Class 34: 50
Class 35: 50
Class 36: 50
Class 37: 50
Class 38: 50
Class 39: 50
Class 40: 50
Class 41: 50
Class 42: 50
Class 43: 50
Class 44: 50
Class 45: 50
Class 46: 50
Class 47: 50
Class 48: 50
Class 49: 50
Class 50: 50
Class 51: 50
Class 52: 50
Class 53: 50
Class 54: 50
Class 55: 50
Class 56: 50
Class 57: 50
Class 58: 50
Class 59: 50
Class 60: 50
Class 61: 50
Class 62: 50
Class 63: 50
Class 64: 50
Class 65: 50
Class 66: 50
Class 67: 50
Class 68: 50
Class 69: 50
Class 70: 50
Class 71: 50
Class 72: 50
Class 73: 50
Class 74: 50
Class 75: 50
Class 76: 50
Class 77: 50
Class 78: 50
Class 79: 50
Class 80: 50
Class 81: 50
Class 82: 50
Class 83: 50
Class 84: 50
Class 85: 50
Class 86: 50
Class 87: 50
Class 88: 50
Class 89: 50
Class 90: 50
Class 91: 50
Class 92: 50
Class 93: 50
Class 94: 50
Class 95: 50
Class 96: 50
Class 97: 50
Class 98: 50
Class 99: 50

📊 Updated class distribution:
Retain set:
  Class 0: 462
  Class 1: 462
  Class 2: 462
  Class 3: 462
  Class 4: 462
  Class 5: 462
  Class 6: 462
  Class 7: 462
  Class 8: 462
  Class 9: 462
  Class 10: 462
  Class 11: 462
  Class 12: 462
  Class 13: 462
  Class 14: 462
  Class 15: 462
  Class 16: 462
  Class 17: 462
  Class 18: 462
  Class 19: 462
  Class 20: 462
  Class 21: 462
  Class 22: 462
  Class 23: 462
  Class 24: 462
  Class 25: 462
  Class 26: 462
  Class 27: 462
  Class 28: 462
  Class 29: 462
  Class 30: 462
  Class 31: 462
  Class 32: 462
  Class 33: 462
  Class 34: 462
  Class 35: 462
  Class 36: 462
  Class 37: 462
  Class 38: 462
  Class 39: 462
  Class 40: 462
  Class 41: 462
  Class 42: 462
  Class 43: 462
  Class 44: 462
  Class 45: 462
  Class 46: 462
  Class 47: 462
  Class 48: 462
  Class 49: 462
  Class 50: 462
  Class 51: 462
  Class 52: 462
  Class 53: 462
  Class 54: 462
  Class 55: 462
  Class 56: 462
  Class 57: 462
  Class 58: 462
  Class 59: 462
  Class 60: 462
  Class 61: 462
  Class 62: 462
  Class 63: 462
  Class 64: 462
  Class 65: 462
  Class 66: 462
  Class 67: 462
  Class 68: 462
  Class 69: 462
  Class 70: 462
  Class 71: 462
  Class 72: 462
  Class 73: 462
  Class 74: 462
  Class 75: 462
  Class 76: 462
  Class 77: 462
  Class 78: 462
  Class 79: 462
  Class 80: 462
  Class 81: 462
  Class 82: 462
  Class 83: 462
  Class 84: 462
  Class 85: 462
  Class 86: 462
  Class 87: 462
  Class 88: 462
  Class 89: 462
  Class 90: 462
  Class 91: 462
  Class 92: 462
  Class 93: 462
  Class 94: 462
  Class 95: 462
  Class 96: 462
  Class 97: 462
  Class 98: 462
  Class 99: 462
Forget set:
  Class 0: 38
  Class 1: 38
  Class 2: 38
  Class 3: 38
  Class 4: 38
  Class 5: 38
  Class 6: 38
  Class 7: 38
  Class 8: 38
  Class 9: 38
  Class 10: 38
  Class 11: 38
  Class 12: 38
  Class 13: 38
  Class 14: 38
  Class 15: 38
  Class 16: 38
  Class 17: 38
  Class 18: 38
  Class 19: 38
  Class 20: 38
  Class 21: 38
  Class 22: 38
  Class 23: 38
  Class 24: 38
  Class 25: 38
  Class 26: 38
  Class 27: 38
  Class 28: 38
  Class 29: 38
  Class 30: 38
  Class 31: 38
  Class 32: 38
  Class 33: 38
  Class 34: 38
  Class 35: 38
  Class 36: 38
  Class 37: 38
  Class 38: 38
  Class 39: 38
  Class 40: 38
  Class 41: 38
  Class 42: 38
  Class 43: 38
  Class 44: 38
  Class 45: 38
  Class 46: 38
  Class 47: 38
  Class 48: 38
  Class 49: 38
  Class 50: 38
  Class 51: 38
  Class 52: 38
  Class 53: 38
  Class 54: 38
  Class 55: 38
  Class 56: 38
  Class 57: 38
  Class 58: 38
  Class 59: 38
  Class 60: 38
  Class 61: 38
  Class 62: 38
  Class 63: 38
  Class 64: 38
  Class 65: 38
  Class 66: 38
  Class 67: 38
  Class 68: 38
  Class 69: 38
  Class 70: 38
  Class 71: 38
  Class 72: 38
  Class 73: 38
  Class 74: 38
  Class 75: 38
  Class 76: 38
  Class 77: 38
  Class 78: 38
  Class 79: 38
  Class 80: 38
  Class 81: 38
  Class 82: 38
  Class 83: 38
  Class 84: 38
  Class 85: 38
  Class 86: 38
  Class 87: 38
  Class 88: 38
  Class 89: 38
  Class 90: 38
  Class 91: 38
  Class 92: 38
  Class 93: 38
  Class 94: 38
  Class 95: 38
  Class 96: 38
  Class 97: 38
  Class 98: 38
  Class 99: 38
⚠️ Warning: Retain train loader may not be shuffled.
Training Epoch: 1 [256/46200]	Loss: 3.0173	LR: 0.000000
Training Epoch: 1 [512/46200]	Loss: 3.0251	LR: 0.000552
Training Epoch: 1 [768/46200]	Loss: 3.0239	LR: 0.001105
Training Epoch: 1 [1024/46200]	Loss: 2.9931	LR: 0.001657
Training Epoch: 1 [1280/46200]	Loss: 3.0001	LR: 0.002210
Training Epoch: 1 [1536/46200]	Loss: 3.0192	LR: 0.002762
Training Epoch: 1 [1792/46200]	Loss: 3.0094	LR: 0.003315
Training Epoch: 1 [2048/46200]	Loss: 3.0054	LR: 0.003867
Training Epoch: 1 [2304/46200]	Loss: 2.9712	LR: 0.004420
Training Epoch: 1 [2560/46200]	Loss: 2.9926	LR: 0.004972
Training Epoch: 1 [2816/46200]	Loss: 2.9569	LR: 0.005525
Training Epoch: 1 [3072/46200]	Loss: 2.9360	LR: 0.006077
Training Epoch: 1 [3328/46200]	Loss: 2.9152	LR: 0.006630
Training Epoch: 1 [3584/46200]	Loss: 2.8919	LR: 0.007182
Training Epoch: 1 [3840/46200]	Loss: 2.8966	LR: 0.007735
Training Epoch: 1 [4096/46200]	Loss: 2.8494	LR: 0.008287
Training Epoch: 1 [4352/46200]	Loss: 2.8502	LR: 0.008840
Training Epoch: 1 [4608/46200]	Loss: 2.8757	LR: 0.009392
Training Epoch: 1 [4864/46200]	Loss: 2.8095	LR: 0.009945
Training Epoch: 1 [5120/46200]	Loss: 2.8405	LR: 0.010497
Training Epoch: 1 [5376/46200]	Loss: 2.8335	LR: 0.011050
Training Epoch: 1 [5632/46200]	Loss: 2.7878	LR: 0.011602
Training Epoch: 1 [5888/46200]	Loss: 2.7683	LR: 0.012155
Training Epoch: 1 [6144/46200]	Loss: 2.8375	LR: 0.012707
Training Epoch: 1 [6400/46200]	Loss: 2.7933	LR: 0.013260
Training Epoch: 1 [6656/46200]	Loss: 2.8244	LR: 0.013812
Training Epoch: 1 [6912/46200]	Loss: 2.7801	LR: 0.014365
Training Epoch: 1 [7168/46200]	Loss: 2.7740	LR: 0.014917
Training Epoch: 1 [7424/46200]	Loss: 2.7291	LR: 0.015470
Training Epoch: 1 [7680/46200]	Loss: 2.7494	LR: 0.016022
Training Epoch: 1 [7936/46200]	Loss: 2.7637	LR: 0.016575
Training Epoch: 1 [8192/46200]	Loss: 2.7482	LR: 0.017127
Training Epoch: 1 [8448/46200]	Loss: 2.7385	LR: 0.017680
Training Epoch: 1 [8704/46200]	Loss: 2.6892	LR: 0.018232
Training Epoch: 1 [8960/46200]	Loss: 2.7032	LR: 0.018785
Training Epoch: 1 [9216/46200]	Loss: 2.6830	LR: 0.019337
Training Epoch: 1 [9472/46200]	Loss: 2.6601	LR: 0.019890
Training Epoch: 1 [9728/46200]	Loss: 2.6295	LR: 0.020442
Training Epoch: 1 [9984/46200]	Loss: 2.5929	LR: 0.020994
Training Epoch: 1 [10240/46200]	Loss: 2.7221	LR: 0.021547
Training Epoch: 1 [10496/46200]	Loss: 2.5626	LR: 0.022099
Training Epoch: 1 [10752/46200]	Loss: 2.5816	LR: 0.022652
Training Epoch: 1 [11008/46200]	Loss: 2.6205	LR: 0.023204
Training Epoch: 1 [11264/46200]	Loss: 2.6323	LR: 0.023757
Training Epoch: 1 [11520/46200]	Loss: 2.6281	LR: 0.024309
Training Epoch: 1 [11776/46200]	Loss: 2.6217	LR: 0.024862
Training Epoch: 1 [12032/46200]	Loss: 2.6101	LR: 0.025414
Training Epoch: 1 [12288/46200]	Loss: 2.5337	LR: 0.025967
Training Epoch: 1 [12544/46200]	Loss: 2.5631	LR: 0.026519
Training Epoch: 1 [12800/46200]	Loss: 2.4754	LR: 0.027072
Training Epoch: 1 [13056/46200]	Loss: 2.5742	LR: 0.027624
Training Epoch: 1 [13312/46200]	Loss: 2.4875	LR: 0.028177
Training Epoch: 1 [13568/46200]	Loss: 2.5009	LR: 0.028729
Training Epoch: 1 [13824/46200]	Loss: 2.6459	LR: 0.029282
Training Epoch: 1 [14080/46200]	Loss: 2.6274	LR: 0.029834
Training Epoch: 1 [14336/46200]	Loss: 2.4493	LR: 0.030387
Training Epoch: 1 [14592/46200]	Loss: 2.5929	LR: 0.030939
Training Epoch: 1 [14848/46200]	Loss: 2.5223	LR: 0.031492
Training Epoch: 1 [15104/46200]	Loss: 2.4727	LR: 0.032044
Training Epoch: 1 [15360/46200]	Loss: 2.4804	LR: 0.032597
Training Epoch: 1 [15616/46200]	Loss: 2.4895	LR: 0.033149
Training Epoch: 1 [15872/46200]	Loss: 2.3967	LR: 0.033702
Training Epoch: 1 [16128/46200]	Loss: 2.4810	LR: 0.034254
Training Epoch: 1 [16384/46200]	Loss: 2.4755	LR: 0.034807
Training Epoch: 1 [16640/46200]	Loss: 2.5849	LR: 0.035359
Training Epoch: 1 [16896/46200]	Loss: 2.5825	LR: 0.035912
Training Epoch: 1 [17152/46200]	Loss: 2.3859	LR: 0.036464
Training Epoch: 1 [17408/46200]	Loss: 2.5097	LR: 0.037017
Training Epoch: 1 [17664/46200]	Loss: 2.4695	LR: 0.037569
Training Epoch: 1 [17920/46200]	Loss: 2.5184	LR: 0.038122
Training Epoch: 1 [18176/46200]	Loss: 2.5264	LR: 0.038674
Training Epoch: 1 [18432/46200]	Loss: 2.5116	LR: 0.039227
Training Epoch: 1 [18688/46200]	Loss: 2.4794	LR: 0.039779
Training Epoch: 1 [18944/46200]	Loss: 2.5786	LR: 0.040331
Training Epoch: 1 [19200/46200]	Loss: 2.4615	LR: 0.040884
Training Epoch: 1 [19456/46200]	Loss: 2.4771	LR: 0.041436
Training Epoch: 1 [19712/46200]	Loss: 2.5504	LR: 0.041989
Training Epoch: 1 [19968/46200]	Loss: 2.5149	LR: 0.042541
Training Epoch: 1 [20224/46200]	Loss: 2.4536	LR: 0.043094
Training Epoch: 1 [20480/46200]	Loss: 2.5658	LR: 0.043646
Training Epoch: 1 [20736/46200]	Loss: 2.5173	LR: 0.044199
Training Epoch: 1 [20992/46200]	Loss: 2.4051	LR: 0.044751
Training Epoch: 1 [21248/46200]	Loss: 2.4804	LR: 0.045304
Training Epoch: 1 [21504/46200]	Loss: 2.4730	LR: 0.045856
Training Epoch: 1 [21760/46200]	Loss: 2.3961	LR: 0.046409
Training Epoch: 1 [22016/46200]	Loss: 2.5425	LR: 0.046961
Training Epoch: 1 [22272/46200]	Loss: 2.4620	LR: 0.047514
Training Epoch: 1 [22528/46200]	Loss: 2.4243	LR: 0.048066
Training Epoch: 1 [22784/46200]	Loss: 2.3694	LR: 0.048619
Training Epoch: 1 [23040/46200]	Loss: 2.3876	LR: 0.049171
Training Epoch: 1 [23296/46200]	Loss: 2.5282	LR: 0.049724
Training Epoch: 1 [23552/46200]	Loss: 2.5515	LR: 0.050276
Training Epoch: 1 [23808/46200]	Loss: 2.5181	LR: 0.050829
Training Epoch: 1 [24064/46200]	Loss: 2.5168	LR: 0.051381
Training Epoch: 1 [24320/46200]	Loss: 2.5923	LR: 0.051934
Training Epoch: 1 [24576/46200]	Loss: 2.4400	LR: 0.052486
Training Epoch: 1 [24832/46200]	Loss: 2.4082	LR: 0.053039
Training Epoch: 1 [25088/46200]	Loss: 2.3925	LR: 0.053591
Training Epoch: 1 [25344/46200]	Loss: 2.5172	LR: 0.054144
Training Epoch: 1 [25600/46200]	Loss: 2.4890	LR: 0.054696
Training Epoch: 1 [25856/46200]	Loss: 2.4786	LR: 0.055249
Training Epoch: 1 [26112/46200]	Loss: 2.3586	LR: 0.055801
Training Epoch: 1 [26368/46200]	Loss: 2.4224	LR: 0.056354
Training Epoch: 1 [26624/46200]	Loss: 2.4451	LR: 0.056906
Training Epoch: 1 [26880/46200]	Loss: 2.4436	LR: 0.057459
Training Epoch: 1 [27136/46200]	Loss: 2.5461	LR: 0.058011
Training Epoch: 1 [27392/46200]	Loss: 2.4064	LR: 0.058564
Training Epoch: 1 [27648/46200]	Loss: 2.4837	LR: 0.059116
Training Epoch: 1 [27904/46200]	Loss: 2.4792	LR: 0.059669
Training Epoch: 1 [28160/46200]	Loss: 2.4594	LR: 0.060221
Training Epoch: 1 [28416/46200]	Loss: 2.4372	LR: 0.060773
Training Epoch: 1 [28672/46200]	Loss: 2.4633	LR: 0.061326
Training Epoch: 1 [28928/46200]	Loss: 2.4420	LR: 0.061878
Training Epoch: 1 [29184/46200]	Loss: 2.4230	LR: 0.062431
Training Epoch: 1 [29440/46200]	Loss: 2.3941	LR: 0.062983
Training Epoch: 1 [29696/46200]	Loss: 2.3996	LR: 0.063536
Training Epoch: 1 [29952/46200]	Loss: 2.4359	LR: 0.064088
Training Epoch: 1 [30208/46200]	Loss: 2.3765	LR: 0.064641
Training Epoch: 1 [30464/46200]	Loss: 2.4294	LR: 0.065193
Training Epoch: 1 [30720/46200]	Loss: 2.4979	LR: 0.065746
Training Epoch: 1 [30976/46200]	Loss: 2.3045	LR: 0.066298
Training Epoch: 1 [31232/46200]	Loss: 2.3757	LR: 0.066851
Training Epoch: 1 [31488/46200]	Loss: 2.4056	LR: 0.067403
Training Epoch: 1 [31744/46200]	Loss: 2.3791	LR: 0.067956
Training Epoch: 1 [32000/46200]	Loss: 2.3422	LR: 0.068508
Training Epoch: 1 [32256/46200]	Loss: 2.2265	LR: 0.069061
Training Epoch: 1 [32512/46200]	Loss: 2.4097	LR: 0.069613
Training Epoch: 1 [32768/46200]	Loss: 2.3562	LR: 0.070166
Training Epoch: 1 [33024/46200]	Loss: 2.4390	LR: 0.070718
Training Epoch: 1 [33280/46200]	Loss: 2.4617	LR: 0.071271
Training Epoch: 1 [33536/46200]	Loss: 2.3857	LR: 0.071823
Training Epoch: 1 [33792/46200]	Loss: 2.3974	LR: 0.072376
Training Epoch: 1 [34048/46200]	Loss: 2.4356	LR: 0.072928
Training Epoch: 1 [34304/46200]	Loss: 2.3388	LR: 0.073481
Training Epoch: 1 [34560/46200]	Loss: 2.3449	LR: 0.074033
Training Epoch: 1 [34816/46200]	Loss: 2.5351	LR: 0.074586
Training Epoch: 1 [35072/46200]	Loss: 2.4574	LR: 0.075138
Training Epoch: 1 [35328/46200]	Loss: 2.4494	LR: 0.075691
Training Epoch: 1 [35584/46200]	Loss: 2.3422	LR: 0.076243
Training Epoch: 1 [35840/46200]	Loss: 2.3802	LR: 0.076796
Training Epoch: 1 [36096/46200]	Loss: 2.4443	LR: 0.077348
Training Epoch: 1 [36352/46200]	Loss: 2.3410	LR: 0.077901
Training Epoch: 1 [36608/46200]	Loss: 2.4472	LR: 0.078453
Training Epoch: 1 [36864/46200]	Loss: 2.5209	LR: 0.079006
Training Epoch: 1 [37120/46200]	Loss: 2.3456	LR: 0.079558
Training Epoch: 1 [37376/46200]	Loss: 2.4798	LR: 0.080110
Training Epoch: 1 [37632/46200]	Loss: 2.3978	LR: 0.080663
Training Epoch: 1 [37888/46200]	Loss: 2.4411	LR: 0.081215
Training Epoch: 1 [38144/46200]	Loss: 2.3799	LR: 0.081768
Training Epoch: 1 [38400/46200]	Loss: 2.2469	LR: 0.082320
Training Epoch: 1 [38656/46200]	Loss: 2.4483	LR: 0.082873
Training Epoch: 1 [38912/46200]	Loss: 2.4129	LR: 0.083425
Training Epoch: 1 [39168/46200]	Loss: 2.4373	LR: 0.083978
Training Epoch: 1 [39424/46200]	Loss: 2.3986	LR: 0.084530
Training Epoch: 1 [39680/46200]	Loss: 2.4261	LR: 0.085083
Training Epoch: 1 [39936/46200]	Loss: 2.3531	LR: 0.085635
Training Epoch: 1 [40192/46200]	Loss: 2.2683	LR: 0.086188
Training Epoch: 1 [40448/46200]	Loss: 2.4927	LR: 0.086740
Training Epoch: 1 [40704/46200]	Loss: 2.3163	LR: 0.087293
Training Epoch: 1 [40960/46200]	Loss: 2.3297	LR: 0.087845
Training Epoch: 1 [41216/46200]	Loss: 2.3413	LR: 0.088398
Training Epoch: 1 [41472/46200]	Loss: 2.5103	LR: 0.088950
Training Epoch: 1 [41728/46200]	Loss: 2.3424	LR: 0.089503
Training Epoch: 1 [41984/46200]	Loss: 2.2430	LR: 0.090055
Training Epoch: 1 [42240/46200]	Loss: 2.3659	LR: 0.090608
Training Epoch: 1 [42496/46200]	Loss: 2.4095	LR: 0.091160
Training Epoch: 1 [42752/46200]	Loss: 2.2933	LR: 0.091713
Training Epoch: 1 [43008/46200]	Loss: 2.3079	LR: 0.092265
Training Epoch: 1 [43264/46200]	Loss: 2.4112	LR: 0.092818
Training Epoch: 1 [43520/46200]	Loss: 2.4291	LR: 0.093370
Training Epoch: 1 [43776/46200]	Loss: 2.3475	LR: 0.093923
Training Epoch: 1 [44032/46200]	Loss: 2.2060	LR: 0.094475
Training Epoch: 1 [44288/46200]	Loss: 2.3401	LR: 0.095028
Training Epoch: 1 [44544/46200]	Loss: 2.3777	LR: 0.095580
Training Epoch: 1 [44800/46200]	Loss: 2.3520	LR: 0.096133
Training Epoch: 1 [45056/46200]	Loss: 2.3677	LR: 0.096685
Training Epoch: 1 [45312/46200]	Loss: 2.3125	LR: 0.097238
Training Epoch: 1 [45568/46200]	Loss: 2.2938	LR: 0.097790
Training Epoch: 1 [45824/46200]	Loss: 2.3524	LR: 0.098343
Training Epoch: 1 [46080/46200]	Loss: 2.3511	LR: 0.098895
Training Epoch: 1 [46200/46200]	Loss: 2.3214	LR: 0.099448
Epoch 1 - Average Train Loss: 2.5315, Train Accuracy: 0.2168
Epoch 1 training time consumed: 25.79s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0101, Accuracy: 0.2543, Time consumed:1.02s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_18h_30m_43s/AllCNN-Cifar20-seed8-ret25-1-best.pth
Training Epoch: 2 [256/46200]	Loss: 2.3505	LR: 0.100000
Training Epoch: 2 [512/46200]	Loss: 2.2421	LR: 0.100000
Training Epoch: 2 [768/46200]	Loss: 2.2586	LR: 0.100000
Training Epoch: 2 [1024/46200]	Loss: 2.2790	LR: 0.100000
Training Epoch: 2 [1280/46200]	Loss: 2.2497	LR: 0.100000
Training Epoch: 2 [1536/46200]	Loss: 2.2082	LR: 0.100000
Training Epoch: 2 [1792/46200]	Loss: 2.3819	LR: 0.100000
Training Epoch: 2 [2048/46200]	Loss: 2.3617	LR: 0.100000
Training Epoch: 2 [2304/46200]	Loss: 2.2651	LR: 0.100000
Training Epoch: 2 [2560/46200]	Loss: 2.1606	LR: 0.100000
Training Epoch: 2 [2816/46200]	Loss: 2.1789	LR: 0.100000
Training Epoch: 2 [3072/46200]	Loss: 2.2244	LR: 0.100000
Training Epoch: 2 [3328/46200]	Loss: 2.2805	LR: 0.100000
Training Epoch: 2 [3584/46200]	Loss: 2.1265	LR: 0.100000
Training Epoch: 2 [3840/46200]	Loss: 2.2699	LR: 0.100000
Training Epoch: 2 [4096/46200]	Loss: 2.1513	LR: 0.100000
Training Epoch: 2 [4352/46200]	Loss: 2.2734	LR: 0.100000
Training Epoch: 2 [4608/46200]	Loss: 2.1546	LR: 0.100000
Training Epoch: 2 [4864/46200]	Loss: 2.1955	LR: 0.100000
Training Epoch: 2 [5120/46200]	Loss: 2.3477	LR: 0.100000
Training Epoch: 2 [5376/46200]	Loss: 2.2748	LR: 0.100000
Training Epoch: 2 [5632/46200]	Loss: 2.3011	LR: 0.100000
Training Epoch: 2 [5888/46200]	Loss: 2.3524	LR: 0.100000
Training Epoch: 2 [6144/46200]	Loss: 2.2474	LR: 0.100000
Training Epoch: 2 [6400/46200]	Loss: 2.3220	LR: 0.100000
Training Epoch: 2 [6656/46200]	Loss: 2.1681	LR: 0.100000
Training Epoch: 2 [6912/46200]	Loss: 2.3215	LR: 0.100000
Training Epoch: 2 [7168/46200]	Loss: 2.1852	LR: 0.100000
Training Epoch: 2 [7424/46200]	Loss: 2.2186	LR: 0.100000
Training Epoch: 2 [7680/46200]	Loss: 2.2338	LR: 0.100000
Training Epoch: 2 [7936/46200]	Loss: 2.3699	LR: 0.100000
Training Epoch: 2 [8192/46200]	Loss: 2.1869	LR: 0.100000
Training Epoch: 2 [8448/46200]	Loss: 2.0912	LR: 0.100000
Training Epoch: 2 [8704/46200]	Loss: 2.1894	LR: 0.100000
Training Epoch: 2 [8960/46200]	Loss: 2.2719	LR: 0.100000
Training Epoch: 2 [9216/46200]	Loss: 2.2871	LR: 0.100000
Training Epoch: 2 [9472/46200]	Loss: 2.2413	LR: 0.100000
Training Epoch: 2 [9728/46200]	Loss: 2.3825	LR: 0.100000
Training Epoch: 2 [9984/46200]	Loss: 2.4863	LR: 0.100000
Training Epoch: 2 [10240/46200]	Loss: 2.2540	LR: 0.100000
Training Epoch: 2 [10496/46200]	Loss: 2.1409	LR: 0.100000
Training Epoch: 2 [10752/46200]	Loss: 2.2634	LR: 0.100000
Training Epoch: 2 [11008/46200]	Loss: 2.2052	LR: 0.100000
Training Epoch: 2 [11264/46200]	Loss: 2.2022	LR: 0.100000
Training Epoch: 2 [11520/46200]	Loss: 2.2930	LR: 0.100000
Training Epoch: 2 [11776/46200]	Loss: 2.3009	LR: 0.100000
Training Epoch: 2 [12032/46200]	Loss: 2.2069	LR: 0.100000
Training Epoch: 2 [12288/46200]	Loss: 2.2295	LR: 0.100000
Training Epoch: 2 [12544/46200]	Loss: 2.2946	LR: 0.100000
Training Epoch: 2 [12800/46200]	Loss: 2.2505	LR: 0.100000
Training Epoch: 2 [13056/46200]	Loss: 2.3495	LR: 0.100000
Training Epoch: 2 [13312/46200]	Loss: 2.1659	LR: 0.100000
Training Epoch: 2 [13568/46200]	Loss: 2.2668	LR: 0.100000
Training Epoch: 2 [13824/46200]	Loss: 2.3197	LR: 0.100000
Training Epoch: 2 [14080/46200]	Loss: 2.3156	LR: 0.100000
Training Epoch: 2 [14336/46200]	Loss: 2.2428	LR: 0.100000
Training Epoch: 2 [14592/46200]	Loss: 2.3749	LR: 0.100000
Training Epoch: 2 [14848/46200]	Loss: 2.1068	LR: 0.100000
Training Epoch: 2 [15104/46200]	Loss: 2.1281	LR: 0.100000
Training Epoch: 2 [15360/46200]	Loss: 2.1660	LR: 0.100000
Training Epoch: 2 [15616/46200]	Loss: 2.1469	LR: 0.100000
Training Epoch: 2 [15872/46200]	Loss: 2.3260	LR: 0.100000
Training Epoch: 2 [16128/46200]	Loss: 2.1450	LR: 0.100000
Training Epoch: 2 [16384/46200]	Loss: 2.2497	LR: 0.100000
Training Epoch: 2 [16640/46200]	Loss: 2.2780	LR: 0.100000
Training Epoch: 2 [16896/46200]	Loss: 2.2990	LR: 0.100000
Training Epoch: 2 [17152/46200]	Loss: 2.1680	LR: 0.100000
Training Epoch: 2 [17408/46200]	Loss: 2.2041	LR: 0.100000
Training Epoch: 2 [17664/46200]	Loss: 2.1263	LR: 0.100000
Training Epoch: 2 [17920/46200]	Loss: 2.2592	LR: 0.100000
Training Epoch: 2 [18176/46200]	Loss: 2.1849	LR: 0.100000
Training Epoch: 2 [18432/46200]	Loss: 2.2061	LR: 0.100000
Training Epoch: 2 [18688/46200]	Loss: 2.1869	LR: 0.100000
Training Epoch: 2 [18944/46200]	Loss: 2.1988	LR: 0.100000
Training Epoch: 2 [19200/46200]	Loss: 2.1758	LR: 0.100000
Training Epoch: 2 [19456/46200]	Loss: 2.1019	LR: 0.100000
Training Epoch: 2 [19712/46200]	Loss: 2.2215	LR: 0.100000
Training Epoch: 2 [19968/46200]	Loss: 2.1122	LR: 0.100000
Training Epoch: 2 [20224/46200]	Loss: 2.1488	LR: 0.100000
Training Epoch: 2 [20480/46200]	Loss: 2.1862	LR: 0.100000
Training Epoch: 2 [20736/46200]	Loss: 2.0678	LR: 0.100000
Training Epoch: 2 [20992/46200]	Loss: 2.1459	LR: 0.100000
Training Epoch: 2 [21248/46200]	Loss: 2.1539	LR: 0.100000
Training Epoch: 2 [21504/46200]	Loss: 2.1208	LR: 0.100000
Training Epoch: 2 [21760/46200]	Loss: 2.1717	LR: 0.100000
Training Epoch: 2 [22016/46200]	Loss: 2.2798	LR: 0.100000
Training Epoch: 2 [22272/46200]	Loss: 2.2701	LR: 0.100000
Training Epoch: 2 [22528/46200]	Loss: 2.0989	LR: 0.100000
Training Epoch: 2 [22784/46200]	Loss: 2.1971	LR: 0.100000
Training Epoch: 2 [23040/46200]	Loss: 2.2087	LR: 0.100000
Training Epoch: 2 [23296/46200]	Loss: 2.0468	LR: 0.100000
Training Epoch: 2 [23552/46200]	Loss: 2.2249	LR: 0.100000
Training Epoch: 2 [23808/46200]	Loss: 2.0834	LR: 0.100000
Training Epoch: 2 [24064/46200]	Loss: 2.1484	LR: 0.100000
Training Epoch: 2 [24320/46200]	Loss: 2.0394	LR: 0.100000
Training Epoch: 2 [24576/46200]	Loss: 2.0756	LR: 0.100000
Training Epoch: 2 [24832/46200]	Loss: 2.1019	LR: 0.100000
Training Epoch: 2 [25088/46200]	Loss: 2.1031	LR: 0.100000
Training Epoch: 2 [25344/46200]	Loss: 2.3029	LR: 0.100000
Training Epoch: 2 [25600/46200]	Loss: 2.1243	LR: 0.100000
Training Epoch: 2 [25856/46200]	Loss: 2.0565	LR: 0.100000
Training Epoch: 2 [26112/46200]	Loss: 2.1097	LR: 0.100000
Training Epoch: 2 [26368/46200]	Loss: 2.2055	LR: 0.100000
Training Epoch: 2 [26624/46200]	Loss: 2.1253	LR: 0.100000
Training Epoch: 2 [26880/46200]	Loss: 2.1587	LR: 0.100000
Training Epoch: 2 [27136/46200]	Loss: 2.0571	LR: 0.100000
Training Epoch: 2 [27392/46200]	Loss: 2.1539	LR: 0.100000
Training Epoch: 2 [27648/46200]	Loss: 2.1229	LR: 0.100000
Training Epoch: 2 [27904/46200]	Loss: 2.2187	LR: 0.100000
Training Epoch: 2 [28160/46200]	Loss: 2.0292	LR: 0.100000
Training Epoch: 2 [28416/46200]	Loss: 1.9706	LR: 0.100000
Training Epoch: 2 [28672/46200]	Loss: 2.0745	LR: 0.100000
Training Epoch: 2 [28928/46200]	Loss: 2.1949	LR: 0.100000
Training Epoch: 2 [29184/46200]	Loss: 2.1039	LR: 0.100000
Training Epoch: 2 [29440/46200]	Loss: 1.9609	LR: 0.100000
Training Epoch: 2 [29696/46200]	Loss: 2.1310	LR: 0.100000
Training Epoch: 2 [29952/46200]	Loss: 2.0869	LR: 0.100000
Training Epoch: 2 [30208/46200]	Loss: 2.0849	LR: 0.100000
Training Epoch: 2 [30464/46200]	Loss: 2.2384	LR: 0.100000
Training Epoch: 2 [30720/46200]	Loss: 2.1323	LR: 0.100000
Training Epoch: 2 [30976/46200]	Loss: 2.1258	LR: 0.100000
Training Epoch: 2 [31232/46200]	Loss: 2.0841	LR: 0.100000
Training Epoch: 2 [31488/46200]	Loss: 2.1249	LR: 0.100000
Training Epoch: 2 [31744/46200]	Loss: 2.0201	LR: 0.100000
Training Epoch: 2 [32000/46200]	Loss: 2.1569	LR: 0.100000
Training Epoch: 2 [32256/46200]	Loss: 2.0699	LR: 0.100000
Training Epoch: 2 [32512/46200]	Loss: 2.1222	LR: 0.100000
Training Epoch: 2 [32768/46200]	Loss: 2.1667	LR: 0.100000
Training Epoch: 2 [33024/46200]	Loss: 2.1688	LR: 0.100000
Training Epoch: 2 [33280/46200]	Loss: 1.9877	LR: 0.100000
Training Epoch: 2 [33536/46200]	Loss: 2.2155	LR: 0.100000
Training Epoch: 2 [33792/46200]	Loss: 2.0863	LR: 0.100000
Training Epoch: 2 [34048/46200]	Loss: 2.0584	LR: 0.100000
Training Epoch: 2 [34304/46200]	Loss: 1.9886	LR: 0.100000
Training Epoch: 2 [34560/46200]	Loss: 2.0605	LR: 0.100000
Training Epoch: 2 [34816/46200]	Loss: 2.1047	LR: 0.100000
Training Epoch: 2 [35072/46200]	Loss: 2.0829	LR: 0.100000
Training Epoch: 2 [35328/46200]	Loss: 1.9887	LR: 0.100000
Training Epoch: 2 [35584/46200]	Loss: 2.1109	LR: 0.100000
Training Epoch: 2 [35840/46200]	Loss: 1.9282	LR: 0.100000
Training Epoch: 2 [36096/46200]	Loss: 2.0258	LR: 0.100000
Training Epoch: 2 [36352/46200]	Loss: 2.0366	LR: 0.100000
Training Epoch: 2 [36608/46200]	Loss: 1.9357	LR: 0.100000
Training Epoch: 2 [36864/46200]	Loss: 2.1141	LR: 0.100000
Training Epoch: 2 [37120/46200]	Loss: 2.1197	LR: 0.100000
Training Epoch: 2 [37376/46200]	Loss: 2.0961	LR: 0.100000
Training Epoch: 2 [37632/46200]	Loss: 1.9364	LR: 0.100000
Training Epoch: 2 [37888/46200]	Loss: 1.9650	LR: 0.100000
Training Epoch: 2 [38144/46200]	Loss: 2.0722	LR: 0.100000
Training Epoch: 2 [38400/46200]	Loss: 2.0311	LR: 0.100000
Training Epoch: 2 [38656/46200]	Loss: 2.0446	LR: 0.100000
Training Epoch: 2 [38912/46200]	Loss: 2.0574	LR: 0.100000
Training Epoch: 2 [39168/46200]	Loss: 1.9267	LR: 0.100000
Training Epoch: 2 [39424/46200]	Loss: 2.0619	LR: 0.100000
Training Epoch: 2 [39680/46200]	Loss: 2.0557	LR: 0.100000
Training Epoch: 2 [39936/46200]	Loss: 1.9680	LR: 0.100000
Training Epoch: 2 [40192/46200]	Loss: 2.0542	LR: 0.100000
Training Epoch: 2 [40448/46200]	Loss: 2.1711	LR: 0.100000
Training Epoch: 2 [40704/46200]	Loss: 2.0757	LR: 0.100000
Training Epoch: 2 [40960/46200]	Loss: 1.9671	LR: 0.100000
Training Epoch: 2 [41216/46200]	Loss: 1.9816	LR: 0.100000
Training Epoch: 2 [41472/46200]	Loss: 1.9643	LR: 0.100000
Training Epoch: 2 [41728/46200]	Loss: 1.9588	LR: 0.100000
Training Epoch: 2 [41984/46200]	Loss: 2.0748	LR: 0.100000
Training Epoch: 2 [42240/46200]	Loss: 1.9514	LR: 0.100000
Training Epoch: 2 [42496/46200]	Loss: 1.8773	LR: 0.100000
Training Epoch: 2 [42752/46200]	Loss: 1.9650	LR: 0.100000
Training Epoch: 2 [43008/46200]	Loss: 1.9795	LR: 0.100000
Training Epoch: 2 [43264/46200]	Loss: 1.8862	LR: 0.100000
Training Epoch: 2 [43520/46200]	Loss: 2.0289	LR: 0.100000
Training Epoch: 2 [43776/46200]	Loss: 2.0702	LR: 0.100000
Training Epoch: 2 [44032/46200]	Loss: 2.0492	LR: 0.100000
Training Epoch: 2 [44288/46200]	Loss: 2.0618	LR: 0.100000
Training Epoch: 2 [44544/46200]	Loss: 2.0754	LR: 0.100000
Training Epoch: 2 [44800/46200]	Loss: 1.8942	LR: 0.100000
Training Epoch: 2 [45056/46200]	Loss: 1.9713	LR: 0.100000
Training Epoch: 2 [45312/46200]	Loss: 2.1223	LR: 0.100000
Training Epoch: 2 [45568/46200]	Loss: 2.0794	LR: 0.100000
Training Epoch: 2 [45824/46200]	Loss: 2.0640	LR: 0.100000
Training Epoch: 2 [46080/46200]	Loss: 2.0652	LR: 0.100000
Training Epoch: 2 [46200/46200]	Loss: 2.0672	LR: 0.100000
Epoch 2 - Average Train Loss: 2.1485, Train Accuracy: 0.3268
Epoch 2 training time consumed: 25.03s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0083, Accuracy: 0.3579, Time consumed:0.88s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_18h_30m_43s/AllCNN-Cifar20-seed8-ret25-2-best.pth
Training Epoch: 3 [256/46200]	Loss: 1.8155	LR: 0.100000
Training Epoch: 3 [512/46200]	Loss: 2.0458	LR: 0.100000
Training Epoch: 3 [768/46200]	Loss: 2.1348	LR: 0.100000
Training Epoch: 3 [1024/46200]	Loss: 2.0935	LR: 0.100000
Training Epoch: 3 [1280/46200]	Loss: 2.0528	LR: 0.100000
Training Epoch: 3 [1536/46200]	Loss: 2.0304	LR: 0.100000
Training Epoch: 3 [1792/46200]	Loss: 2.0397	LR: 0.100000
Training Epoch: 3 [2048/46200]	Loss: 1.9398	LR: 0.100000
Training Epoch: 3 [2304/46200]	Loss: 2.0606	LR: 0.100000
Training Epoch: 3 [2560/46200]	Loss: 1.9773	LR: 0.100000
Training Epoch: 3 [2816/46200]	Loss: 2.0271	LR: 0.100000
Training Epoch: 3 [3072/46200]	Loss: 1.9595	LR: 0.100000
Training Epoch: 3 [3328/46200]	Loss: 2.0084	LR: 0.100000
Training Epoch: 3 [3584/46200]	Loss: 1.8450	LR: 0.100000
Training Epoch: 3 [3840/46200]	Loss: 1.8699	LR: 0.100000
Training Epoch: 3 [4096/46200]	Loss: 1.8660	LR: 0.100000
Training Epoch: 3 [4352/46200]	Loss: 2.0426	LR: 0.100000
Training Epoch: 3 [4608/46200]	Loss: 1.9986	LR: 0.100000
Training Epoch: 3 [4864/46200]	Loss: 2.1414	LR: 0.100000
Training Epoch: 3 [5120/46200]	Loss: 1.9625	LR: 0.100000
Training Epoch: 3 [5376/46200]	Loss: 2.0437	LR: 0.100000
Training Epoch: 3 [5632/46200]	Loss: 1.9942	LR: 0.100000
Training Epoch: 3 [5888/46200]	Loss: 1.8161	LR: 0.100000
Training Epoch: 3 [6144/46200]	Loss: 1.9233	LR: 0.100000
Training Epoch: 3 [6400/46200]	Loss: 1.9361	LR: 0.100000
Training Epoch: 3 [6656/46200]	Loss: 1.9587	LR: 0.100000
Training Epoch: 3 [6912/46200]	Loss: 1.8753	LR: 0.100000
Training Epoch: 3 [7168/46200]	Loss: 1.9988	LR: 0.100000
Training Epoch: 3 [7424/46200]	Loss: 1.9163	LR: 0.100000
Training Epoch: 3 [7680/46200]	Loss: 2.0514	LR: 0.100000
Training Epoch: 3 [7936/46200]	Loss: 2.0617	LR: 0.100000
Training Epoch: 3 [8192/46200]	Loss: 1.9296	LR: 0.100000
Training Epoch: 3 [8448/46200]	Loss: 2.0256	LR: 0.100000
Training Epoch: 3 [8704/46200]	Loss: 2.0231	LR: 0.100000
Training Epoch: 3 [8960/46200]	Loss: 2.1029	LR: 0.100000
Training Epoch: 3 [9216/46200]	Loss: 1.9877	LR: 0.100000
Training Epoch: 3 [9472/46200]	Loss: 1.9886	LR: 0.100000
Training Epoch: 3 [9728/46200]	Loss: 2.0871	LR: 0.100000
Training Epoch: 3 [9984/46200]	Loss: 1.9053	LR: 0.100000
Training Epoch: 3 [10240/46200]	Loss: 1.9889	LR: 0.100000
Training Epoch: 3 [10496/46200]	Loss: 1.8629	LR: 0.100000
Training Epoch: 3 [10752/46200]	Loss: 1.9566	LR: 0.100000
Training Epoch: 3 [11008/46200]	Loss: 1.8863	LR: 0.100000
Training Epoch: 3 [11264/46200]	Loss: 2.1121	LR: 0.100000
Training Epoch: 3 [11520/46200]	Loss: 2.0241	LR: 0.100000
Training Epoch: 3 [11776/46200]	Loss: 1.9646	LR: 0.100000
Training Epoch: 3 [12032/46200]	Loss: 1.9886	LR: 0.100000
Training Epoch: 3 [12288/46200]	Loss: 2.0569	LR: 0.100000
Training Epoch: 3 [12544/46200]	Loss: 1.9682	LR: 0.100000
Training Epoch: 3 [12800/46200]	Loss: 1.9688	LR: 0.100000
Training Epoch: 3 [13056/46200]	Loss: 1.9618	LR: 0.100000
Training Epoch: 3 [13312/46200]	Loss: 2.0014	LR: 0.100000
Training Epoch: 3 [13568/46200]	Loss: 2.0529	LR: 0.100000
Training Epoch: 3 [13824/46200]	Loss: 2.0652	LR: 0.100000
Training Epoch: 3 [14080/46200]	Loss: 1.9726	LR: 0.100000
Training Epoch: 3 [14336/46200]	Loss: 1.8048	LR: 0.100000
Training Epoch: 3 [14592/46200]	Loss: 1.8533	LR: 0.100000
Training Epoch: 3 [14848/46200]	Loss: 1.8747	LR: 0.100000
Training Epoch: 3 [15104/46200]	Loss: 2.1544	LR: 0.100000
Training Epoch: 3 [15360/46200]	Loss: 2.0239	LR: 0.100000
Training Epoch: 3 [15616/46200]	Loss: 1.9376	LR: 0.100000
Training Epoch: 3 [15872/46200]	Loss: 2.0530	LR: 0.100000
Training Epoch: 3 [16128/46200]	Loss: 2.0970	LR: 0.100000
Training Epoch: 3 [16384/46200]	Loss: 1.9400	LR: 0.100000
Training Epoch: 3 [16640/46200]	Loss: 1.9256	LR: 0.100000
Training Epoch: 3 [16896/46200]	Loss: 1.7834	LR: 0.100000
Training Epoch: 3 [17152/46200]	Loss: 1.9078	LR: 0.100000
Training Epoch: 3 [17408/46200]	Loss: 2.0391	LR: 0.100000
Training Epoch: 3 [17664/46200]	Loss: 1.9046	LR: 0.100000
Training Epoch: 3 [17920/46200]	Loss: 1.9844	LR: 0.100000
Training Epoch: 3 [18176/46200]	Loss: 1.9307	LR: 0.100000
Training Epoch: 3 [18432/46200]	Loss: 1.9460	LR: 0.100000
Training Epoch: 3 [18688/46200]	Loss: 1.8751	LR: 0.100000
Training Epoch: 3 [18944/46200]	Loss: 1.9207	LR: 0.100000
Training Epoch: 3 [19200/46200]	Loss: 1.7771	LR: 0.100000
Training Epoch: 3 [19456/46200]	Loss: 2.0342	LR: 0.100000
Training Epoch: 3 [19712/46200]	Loss: 1.9585	LR: 0.100000
Training Epoch: 3 [19968/46200]	Loss: 1.9435	LR: 0.100000
Training Epoch: 3 [20224/46200]	Loss: 1.9405	LR: 0.100000
Training Epoch: 3 [20480/46200]	Loss: 1.9316	LR: 0.100000
Training Epoch: 3 [20736/46200]	Loss: 2.0774	LR: 0.100000
Training Epoch: 3 [20992/46200]	Loss: 2.1532	LR: 0.100000
Training Epoch: 3 [21248/46200]	Loss: 1.8711	LR: 0.100000
Training Epoch: 3 [21504/46200]	Loss: 1.9829	LR: 0.100000
Training Epoch: 3 [21760/46200]	Loss: 2.0327	LR: 0.100000
Training Epoch: 3 [22016/46200]	Loss: 1.8342	LR: 0.100000
Training Epoch: 3 [22272/46200]	Loss: 1.9135	LR: 0.100000
Training Epoch: 3 [22528/46200]	Loss: 2.0333	LR: 0.100000
Training Epoch: 3 [22784/46200]	Loss: 2.1064	LR: 0.100000
Training Epoch: 3 [23040/46200]	Loss: 1.9224	LR: 0.100000
Training Epoch: 3 [23296/46200]	Loss: 1.9261	LR: 0.100000
Training Epoch: 3 [23552/46200]	Loss: 2.0228	LR: 0.100000
Training Epoch: 3 [23808/46200]	Loss: 1.9740	LR: 0.100000
Training Epoch: 3 [24064/46200]	Loss: 1.8320	LR: 0.100000
Training Epoch: 3 [24320/46200]	Loss: 1.9818	LR: 0.100000
Training Epoch: 3 [24576/46200]	Loss: 1.9419	LR: 0.100000
Training Epoch: 3 [24832/46200]	Loss: 1.9499	LR: 0.100000
Training Epoch: 3 [25088/46200]	Loss: 1.9350	LR: 0.100000
Training Epoch: 3 [25344/46200]	Loss: 1.8019	LR: 0.100000
Training Epoch: 3 [25600/46200]	Loss: 1.9123	LR: 0.100000
Training Epoch: 3 [25856/46200]	Loss: 1.9150	LR: 0.100000
Training Epoch: 3 [26112/46200]	Loss: 1.8864	LR: 0.100000
Training Epoch: 3 [26368/46200]	Loss: 1.9580	LR: 0.100000
Training Epoch: 3 [26624/46200]	Loss: 1.9207	LR: 0.100000
Training Epoch: 3 [26880/46200]	Loss: 1.8559	LR: 0.100000
Training Epoch: 3 [27136/46200]	Loss: 1.9483	LR: 0.100000
Training Epoch: 3 [27392/46200]	Loss: 1.8188	LR: 0.100000
Training Epoch: 3 [27648/46200]	Loss: 1.7908	LR: 0.100000
Training Epoch: 3 [27904/46200]	Loss: 1.7595	LR: 0.100000
Training Epoch: 3 [28160/46200]	Loss: 1.8784	LR: 0.100000
Training Epoch: 3 [28416/46200]	Loss: 1.7813	LR: 0.100000
Training Epoch: 3 [28672/46200]	Loss: 1.9931	LR: 0.100000
Training Epoch: 3 [28928/46200]	Loss: 1.9356	LR: 0.100000
Training Epoch: 3 [29184/46200]	Loss: 1.9241	LR: 0.100000
Training Epoch: 3 [29440/46200]	Loss: 1.8905	LR: 0.100000
Training Epoch: 3 [29696/46200]	Loss: 1.9197	LR: 0.100000
Training Epoch: 3 [29952/46200]	Loss: 1.9646	LR: 0.100000
Training Epoch: 3 [30208/46200]	Loss: 1.7968	LR: 0.100000
Training Epoch: 3 [30464/46200]	Loss: 1.9614	LR: 0.100000
Training Epoch: 3 [30720/46200]	Loss: 1.8323	LR: 0.100000
Training Epoch: 3 [30976/46200]	Loss: 1.8057	LR: 0.100000
Training Epoch: 3 [31232/46200]	Loss: 1.8619	LR: 0.100000
Training Epoch: 3 [31488/46200]	Loss: 1.7326	LR: 0.100000
Training Epoch: 3 [31744/46200]	Loss: 1.8799	LR: 0.100000
Training Epoch: 3 [32000/46200]	Loss: 1.8223	LR: 0.100000
Training Epoch: 3 [32256/46200]	Loss: 1.7159	LR: 0.100000
Training Epoch: 3 [32512/46200]	Loss: 1.9683	LR: 0.100000
Training Epoch: 3 [32768/46200]	Loss: 1.9074	LR: 0.100000
Training Epoch: 3 [33024/46200]	Loss: 1.9053	LR: 0.100000
Training Epoch: 3 [33280/46200]	Loss: 2.0014	LR: 0.100000
Training Epoch: 3 [33536/46200]	Loss: 1.9558	LR: 0.100000
Training Epoch: 3 [33792/46200]	Loss: 2.0729	LR: 0.100000
Training Epoch: 3 [34048/46200]	Loss: 1.8551	LR: 0.100000
Training Epoch: 3 [34304/46200]	Loss: 1.8542	LR: 0.100000
Training Epoch: 3 [34560/46200]	Loss: 1.9247	LR: 0.100000
Training Epoch: 3 [34816/46200]	Loss: 1.7863	LR: 0.100000
Training Epoch: 3 [35072/46200]	Loss: 1.8008	LR: 0.100000
Training Epoch: 3 [35328/46200]	Loss: 1.8589	LR: 0.100000
Training Epoch: 3 [35584/46200]	Loss: 1.9463	LR: 0.100000
Training Epoch: 3 [35840/46200]	Loss: 1.8614	LR: 0.100000
Training Epoch: 3 [36096/46200]	Loss: 1.8792	LR: 0.100000
Training Epoch: 3 [36352/46200]	Loss: 1.7787	LR: 0.100000
Training Epoch: 3 [36608/46200]	Loss: 1.7884	LR: 0.100000
Training Epoch: 3 [36864/46200]	Loss: 1.8720	LR: 0.100000
Training Epoch: 3 [37120/46200]	Loss: 1.9398	LR: 0.100000
Training Epoch: 3 [37376/46200]	Loss: 1.9496	LR: 0.100000
Training Epoch: 3 [37632/46200]	Loss: 1.7642	LR: 0.100000
Training Epoch: 3 [37888/46200]	Loss: 1.7397	LR: 0.100000
Training Epoch: 3 [38144/46200]	Loss: 1.7933	LR: 0.100000
Training Epoch: 3 [38400/46200]	Loss: 1.8167	LR: 0.100000
Training Epoch: 3 [38656/46200]	Loss: 1.8176	LR: 0.100000
Training Epoch: 3 [38912/46200]	Loss: 1.8179	LR: 0.100000
Training Epoch: 3 [39168/46200]	Loss: 1.7079	LR: 0.100000
Training Epoch: 3 [39424/46200]	Loss: 1.7737	LR: 0.100000
Training Epoch: 3 [39680/46200]	Loss: 1.7690	LR: 0.100000
Training Epoch: 3 [39936/46200]	Loss: 1.9130	LR: 0.100000
Training Epoch: 3 [40192/46200]	Loss: 1.9604	LR: 0.100000
Training Epoch: 3 [40448/46200]	Loss: 1.8468	LR: 0.100000
Training Epoch: 3 [40704/46200]	Loss: 2.0227	LR: 0.100000
Training Epoch: 3 [40960/46200]	Loss: 1.8821	LR: 0.100000
Training Epoch: 3 [41216/46200]	Loss: 1.7909	LR: 0.100000
Training Epoch: 3 [41472/46200]	Loss: 1.6306	LR: 0.100000
Training Epoch: 3 [41728/46200]	Loss: 1.8029	LR: 0.100000
Training Epoch: 3 [41984/46200]	Loss: 1.8353	LR: 0.100000
Training Epoch: 3 [42240/46200]	Loss: 1.8686	LR: 0.100000
Training Epoch: 3 [42496/46200]	Loss: 1.8011	LR: 0.100000
Training Epoch: 3 [42752/46200]	Loss: 1.8831	LR: 0.100000
Training Epoch: 3 [43008/46200]	Loss: 1.9132	LR: 0.100000
Training Epoch: 3 [43264/46200]	Loss: 1.8024	LR: 0.100000
Training Epoch: 3 [43520/46200]	Loss: 1.9991	LR: 0.100000
Training Epoch: 3 [43776/46200]	Loss: 1.8664	LR: 0.100000
Training Epoch: 3 [44032/46200]	Loss: 1.8052	LR: 0.100000
Training Epoch: 3 [44288/46200]	Loss: 1.8780	LR: 0.100000
Training Epoch: 3 [44544/46200]	Loss: 1.7516	LR: 0.100000
Training Epoch: 3 [44800/46200]	Loss: 1.7172	LR: 0.100000
Training Epoch: 3 [45056/46200]	Loss: 1.9303	LR: 0.100000
Training Epoch: 3 [45312/46200]	Loss: 1.7885	LR: 0.100000
Training Epoch: 3 [45568/46200]	Loss: 1.7948	LR: 0.100000
Training Epoch: 3 [45824/46200]	Loss: 1.7249	LR: 0.100000
Training Epoch: 3 [46080/46200]	Loss: 1.8520	LR: 0.100000
Training Epoch: 3 [46200/46200]	Loss: 1.7813	LR: 0.100000
Epoch 3 - Average Train Loss: 1.9198, Train Accuracy: 0.3981
Epoch 3 training time consumed: 25.13s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0083, Accuracy: 0.3533, Time consumed:0.89s
Training Epoch: 4 [256/46200]	Loss: 1.7047	LR: 0.100000
Training Epoch: 4 [512/46200]	Loss: 1.7569	LR: 0.100000
Training Epoch: 4 [768/46200]	Loss: 1.8283	LR: 0.100000
Training Epoch: 4 [1024/46200]	Loss: 1.7219	LR: 0.100000
Training Epoch: 4 [1280/46200]	Loss: 1.7650	LR: 0.100000
Training Epoch: 4 [1536/46200]	Loss: 1.7196	LR: 0.100000
Training Epoch: 4 [1792/46200]	Loss: 1.8952	LR: 0.100000
Training Epoch: 4 [2048/46200]	Loss: 1.9186	LR: 0.100000
Training Epoch: 4 [2304/46200]	Loss: 1.8018	LR: 0.100000
Training Epoch: 4 [2560/46200]	Loss: 1.8441	LR: 0.100000
Training Epoch: 4 [2816/46200]	Loss: 1.8828	LR: 0.100000
Training Epoch: 4 [3072/46200]	Loss: 1.6564	LR: 0.100000
Training Epoch: 4 [3328/46200]	Loss: 1.5822	LR: 0.100000
Training Epoch: 4 [3584/46200]	Loss: 1.8057	LR: 0.100000
Training Epoch: 4 [3840/46200]	Loss: 1.9408	LR: 0.100000
Training Epoch: 4 [4096/46200]	Loss: 1.9932	LR: 0.100000
Training Epoch: 4 [4352/46200]	Loss: 1.6955	LR: 0.100000
Training Epoch: 4 [4608/46200]	Loss: 1.8276	LR: 0.100000
Training Epoch: 4 [4864/46200]	Loss: 1.7325	LR: 0.100000
Training Epoch: 4 [5120/46200]	Loss: 1.8470	LR: 0.100000
Training Epoch: 4 [5376/46200]	Loss: 1.8590	LR: 0.100000
Training Epoch: 4 [5632/46200]	Loss: 1.6862	LR: 0.100000
Training Epoch: 4 [5888/46200]	Loss: 1.8384	LR: 0.100000
Training Epoch: 4 [6144/46200]	Loss: 1.8909	LR: 0.100000
Training Epoch: 4 [6400/46200]	Loss: 1.8784	LR: 0.100000
Training Epoch: 4 [6656/46200]	Loss: 1.7794	LR: 0.100000
Training Epoch: 4 [6912/46200]	Loss: 1.7258	LR: 0.100000
Training Epoch: 4 [7168/46200]	Loss: 1.7766	LR: 0.100000
Training Epoch: 4 [7424/46200]	Loss: 1.8703	LR: 0.100000
Training Epoch: 4 [7680/46200]	Loss: 1.6864	LR: 0.100000
Training Epoch: 4 [7936/46200]	Loss: 1.8313	LR: 0.100000
Training Epoch: 4 [8192/46200]	Loss: 1.7247	LR: 0.100000
Training Epoch: 4 [8448/46200]	Loss: 1.7092	LR: 0.100000
Training Epoch: 4 [8704/46200]	Loss: 1.8335	LR: 0.100000
Training Epoch: 4 [8960/46200]	Loss: 1.9681	LR: 0.100000
Training Epoch: 4 [9216/46200]	Loss: 1.7375	LR: 0.100000
Training Epoch: 4 [9472/46200]	Loss: 1.6491	LR: 0.100000
Training Epoch: 4 [9728/46200]	Loss: 1.8574	LR: 0.100000
Training Epoch: 4 [9984/46200]	Loss: 1.7767	LR: 0.100000
Training Epoch: 4 [10240/46200]	Loss: 1.7766	LR: 0.100000
Training Epoch: 4 [10496/46200]	Loss: 1.7114	LR: 0.100000
Training Epoch: 4 [10752/46200]	Loss: 1.8351	LR: 0.100000
Training Epoch: 4 [11008/46200]	Loss: 1.5959	LR: 0.100000
Training Epoch: 4 [11264/46200]	Loss: 1.8066	LR: 0.100000
Training Epoch: 4 [11520/46200]	Loss: 1.7861	LR: 0.100000
Training Epoch: 4 [11776/46200]	Loss: 1.7197	LR: 0.100000
Training Epoch: 4 [12032/46200]	Loss: 1.7717	LR: 0.100000
Training Epoch: 4 [12288/46200]	Loss: 1.7124	LR: 0.100000
Training Epoch: 4 [12544/46200]	Loss: 1.8174	LR: 0.100000
Training Epoch: 4 [12800/46200]	Loss: 1.8821	LR: 0.100000
Training Epoch: 4 [13056/46200]	Loss: 1.6557	LR: 0.100000
Training Epoch: 4 [13312/46200]	Loss: 1.7410	LR: 0.100000
Training Epoch: 4 [13568/46200]	Loss: 1.9448	LR: 0.100000
Training Epoch: 4 [13824/46200]	Loss: 1.8065	LR: 0.100000
Training Epoch: 4 [14080/46200]	Loss: 1.9109	LR: 0.100000
Training Epoch: 4 [14336/46200]	Loss: 1.9134	LR: 0.100000
Training Epoch: 4 [14592/46200]	Loss: 1.7371	LR: 0.100000
Training Epoch: 4 [14848/46200]	Loss: 1.8318	LR: 0.100000
Training Epoch: 4 [15104/46200]	Loss: 1.7893	LR: 0.100000
Training Epoch: 4 [15360/46200]	Loss: 1.7454	LR: 0.100000
Training Epoch: 4 [15616/46200]	Loss: 1.7157	LR: 0.100000
Training Epoch: 4 [15872/46200]	Loss: 1.5747	LR: 0.100000
Training Epoch: 4 [16128/46200]	Loss: 1.7108	LR: 0.100000
Training Epoch: 4 [16384/46200]	Loss: 1.8008	LR: 0.100000
Training Epoch: 4 [16640/46200]	Loss: 1.8270	LR: 0.100000
Training Epoch: 4 [16896/46200]	Loss: 1.7918	LR: 0.100000
Training Epoch: 4 [17152/46200]	Loss: 1.7162	LR: 0.100000
Training Epoch: 4 [17408/46200]	Loss: 1.5934	LR: 0.100000
Training Epoch: 4 [17664/46200]	Loss: 1.8189	LR: 0.100000
Training Epoch: 4 [17920/46200]	Loss: 1.7340	LR: 0.100000
Training Epoch: 4 [18176/46200]	Loss: 1.6205	LR: 0.100000
Training Epoch: 4 [18432/46200]	Loss: 1.7637	LR: 0.100000
Training Epoch: 4 [18688/46200]	Loss: 1.7312	LR: 0.100000
Training Epoch: 4 [18944/46200]	Loss: 1.5603	LR: 0.100000
Training Epoch: 4 [19200/46200]	Loss: 1.6765	LR: 0.100000
Training Epoch: 4 [19456/46200]	Loss: 1.7573	LR: 0.100000
Training Epoch: 4 [19712/46200]	Loss: 1.6469	LR: 0.100000
Training Epoch: 4 [19968/46200]	Loss: 1.7084	LR: 0.100000
Training Epoch: 4 [20224/46200]	Loss: 1.6561	LR: 0.100000
Training Epoch: 4 [20480/46200]	Loss: 1.7492	LR: 0.100000
Training Epoch: 4 [20736/46200]	Loss: 1.7889	LR: 0.100000
Training Epoch: 4 [20992/46200]	Loss: 1.6868	LR: 0.100000
Training Epoch: 4 [21248/46200]	Loss: 1.6813	LR: 0.100000
Training Epoch: 4 [21504/46200]	Loss: 1.7080	LR: 0.100000
Training Epoch: 4 [21760/46200]	Loss: 1.6042	LR: 0.100000
Training Epoch: 4 [22016/46200]	Loss: 1.8039	LR: 0.100000
Training Epoch: 4 [22272/46200]	Loss: 1.8201	LR: 0.100000
Training Epoch: 4 [22528/46200]	Loss: 1.7691	LR: 0.100000
Training Epoch: 4 [22784/46200]	Loss: 1.7556	LR: 0.100000
Training Epoch: 4 [23040/46200]	Loss: 1.6895	LR: 0.100000
Training Epoch: 4 [23296/46200]	Loss: 1.6544	LR: 0.100000
Training Epoch: 4 [23552/46200]	Loss: 1.7171	LR: 0.100000
Training Epoch: 4 [23808/46200]	Loss: 1.6698	LR: 0.100000
Training Epoch: 4 [24064/46200]	Loss: 1.6411	LR: 0.100000
Training Epoch: 4 [24320/46200]	Loss: 1.6834	LR: 0.100000
Training Epoch: 4 [24576/46200]	Loss: 1.6874	LR: 0.100000
Training Epoch: 4 [24832/46200]	Loss: 1.5804	LR: 0.100000
Training Epoch: 4 [25088/46200]	Loss: 1.7760	LR: 0.100000
Training Epoch: 4 [25344/46200]	Loss: 1.8444	LR: 0.100000
Training Epoch: 4 [25600/46200]	Loss: 1.6876	LR: 0.100000
Training Epoch: 4 [25856/46200]	Loss: 1.7976	LR: 0.100000
Training Epoch: 4 [26112/46200]	Loss: 1.7503	LR: 0.100000
Training Epoch: 4 [26368/46200]	Loss: 1.8917	LR: 0.100000
Training Epoch: 4 [26624/46200]	Loss: 1.6948	LR: 0.100000
Training Epoch: 4 [26880/46200]	Loss: 1.7511	LR: 0.100000
Training Epoch: 4 [27136/46200]	Loss: 1.6257	LR: 0.100000
Training Epoch: 4 [27392/46200]	Loss: 1.8062	LR: 0.100000
Training Epoch: 4 [27648/46200]	Loss: 1.5726	LR: 0.100000
Training Epoch: 4 [27904/46200]	Loss: 1.6191	LR: 0.100000
Training Epoch: 4 [28160/46200]	Loss: 1.6851	LR: 0.100000
Training Epoch: 4 [28416/46200]	Loss: 1.7499	LR: 0.100000
Training Epoch: 4 [28672/46200]	Loss: 1.7242	LR: 0.100000
Training Epoch: 4 [28928/46200]	Loss: 1.7003	LR: 0.100000
Training Epoch: 4 [29184/46200]	Loss: 1.7106	LR: 0.100000
Training Epoch: 4 [29440/46200]	Loss: 1.7257	LR: 0.100000
Training Epoch: 4 [29696/46200]	Loss: 1.6266	LR: 0.100000
Training Epoch: 4 [29952/46200]	Loss: 1.6434	LR: 0.100000
Training Epoch: 4 [30208/46200]	Loss: 1.8013	LR: 0.100000
Training Epoch: 4 [30464/46200]	Loss: 1.8025	LR: 0.100000
Training Epoch: 4 [30720/46200]	Loss: 1.6164	LR: 0.100000
Training Epoch: 4 [30976/46200]	Loss: 1.8172	LR: 0.100000
Training Epoch: 4 [31232/46200]	Loss: 1.8028	LR: 0.100000
Training Epoch: 4 [31488/46200]	Loss: 1.7213	LR: 0.100000
Training Epoch: 4 [31744/46200]	Loss: 1.7349	LR: 0.100000
Training Epoch: 4 [32000/46200]	Loss: 1.6545	LR: 0.100000
Training Epoch: 4 [32256/46200]	Loss: 1.7323	LR: 0.100000
Training Epoch: 4 [32512/46200]	Loss: 1.6350	LR: 0.100000
Training Epoch: 4 [32768/46200]	Loss: 1.8636	LR: 0.100000
Training Epoch: 4 [33024/46200]	Loss: 1.7385	LR: 0.100000
Training Epoch: 4 [33280/46200]	Loss: 1.7802	LR: 0.100000
Training Epoch: 4 [33536/46200]	Loss: 1.6359	LR: 0.100000
Training Epoch: 4 [33792/46200]	Loss: 1.6514	LR: 0.100000
Training Epoch: 4 [34048/46200]	Loss: 1.5253	LR: 0.100000
Training Epoch: 4 [34304/46200]	Loss: 1.5805	LR: 0.100000
Training Epoch: 4 [34560/46200]	Loss: 1.7697	LR: 0.100000
Training Epoch: 4 [34816/46200]	Loss: 1.7900	LR: 0.100000
Training Epoch: 4 [35072/46200]	Loss: 1.7765	LR: 0.100000
Training Epoch: 4 [35328/46200]	Loss: 1.6570	LR: 0.100000
Training Epoch: 4 [35584/46200]	Loss: 1.8713	LR: 0.100000
Training Epoch: 4 [35840/46200]	Loss: 1.6015	LR: 0.100000
Training Epoch: 4 [36096/46200]	Loss: 1.7106	LR: 0.100000
Training Epoch: 4 [36352/46200]	Loss: 1.6764	LR: 0.100000
Training Epoch: 4 [36608/46200]	Loss: 1.6286	LR: 0.100000
Training Epoch: 4 [36864/46200]	Loss: 1.7388	LR: 0.100000
Training Epoch: 4 [37120/46200]	Loss: 1.7129	LR: 0.100000
Training Epoch: 4 [37376/46200]	Loss: 1.6041	LR: 0.100000
Training Epoch: 4 [37632/46200]	Loss: 1.6738	LR: 0.100000
Training Epoch: 4 [37888/46200]	Loss: 1.8476	LR: 0.100000
Training Epoch: 4 [38144/46200]	Loss: 1.7802	LR: 0.100000
Training Epoch: 4 [38400/46200]	Loss: 1.6962	LR: 0.100000
Training Epoch: 4 [38656/46200]	Loss: 1.6853	LR: 0.100000
Training Epoch: 4 [38912/46200]	Loss: 1.6045	LR: 0.100000
Training Epoch: 4 [39168/46200]	Loss: 1.7441	LR: 0.100000
Training Epoch: 4 [39424/46200]	Loss: 1.8075	LR: 0.100000
Training Epoch: 4 [39680/46200]	Loss: 1.8309	LR: 0.100000
Training Epoch: 4 [39936/46200]	Loss: 1.5807	LR: 0.100000
Training Epoch: 4 [40192/46200]	Loss: 1.7756	LR: 0.100000
Training Epoch: 4 [40448/46200]	Loss: 1.7553	LR: 0.100000
Training Epoch: 4 [40704/46200]	Loss: 1.5799	LR: 0.100000
Training Epoch: 4 [40960/46200]	Loss: 1.6176	LR: 0.100000
Training Epoch: 4 [41216/46200]	Loss: 1.6567	LR: 0.100000
Training Epoch: 4 [41472/46200]	Loss: 1.5814	LR: 0.100000
Training Epoch: 4 [41728/46200]	Loss: 1.7812	LR: 0.100000
Training Epoch: 4 [41984/46200]	Loss: 1.5856	LR: 0.100000
Training Epoch: 4 [42240/46200]	Loss: 1.5486	LR: 0.100000
Training Epoch: 4 [42496/46200]	Loss: 1.6476	LR: 0.100000
Training Epoch: 4 [42752/46200]	Loss: 1.6439	LR: 0.100000
Training Epoch: 4 [43008/46200]	Loss: 1.6520	LR: 0.100000
Training Epoch: 4 [43264/46200]	Loss: 1.6467	LR: 0.100000
Training Epoch: 4 [43520/46200]	Loss: 1.5792	LR: 0.100000
Training Epoch: 4 [43776/46200]	Loss: 1.6239	LR: 0.100000
Training Epoch: 4 [44032/46200]	Loss: 1.7614	LR: 0.100000
Training Epoch: 4 [44288/46200]	Loss: 1.7587	LR: 0.100000
Training Epoch: 4 [44544/46200]	Loss: 1.7028	LR: 0.100000
Training Epoch: 4 [44800/46200]	Loss: 1.6650	LR: 0.100000
Training Epoch: 4 [45056/46200]	Loss: 1.6285	LR: 0.100000
Training Epoch: 4 [45312/46200]	Loss: 1.6525	LR: 0.100000
Training Epoch: 4 [45568/46200]	Loss: 1.7876	LR: 0.100000
Training Epoch: 4 [45824/46200]	Loss: 1.6376	LR: 0.100000
Training Epoch: 4 [46080/46200]	Loss: 1.5122	LR: 0.100000
Training Epoch: 4 [46200/46200]	Loss: 1.8180	LR: 0.100000
Epoch 4 - Average Train Loss: 1.7315, Train Accuracy: 0.4507
Epoch 4 training time consumed: 25.07s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0077, Accuracy: 0.4060, Time consumed:0.86s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_18h_30m_43s/AllCNN-Cifar20-seed8-ret25-4-best.pth
Training Epoch: 5 [256/46200]	Loss: 1.7221	LR: 0.100000
Training Epoch: 5 [512/46200]	Loss: 1.5462	LR: 0.100000
Training Epoch: 5 [768/46200]	Loss: 1.6852	LR: 0.100000
Training Epoch: 5 [1024/46200]	Loss: 1.6422	LR: 0.100000
Training Epoch: 5 [1280/46200]	Loss: 1.4177	LR: 0.100000
Training Epoch: 5 [1536/46200]	Loss: 1.4601	LR: 0.100000
Training Epoch: 5 [1792/46200]	Loss: 1.4963	LR: 0.100000
Training Epoch: 5 [2048/46200]	Loss: 1.5185	LR: 0.100000
Training Epoch: 5 [2304/46200]	Loss: 1.5727	LR: 0.100000
Training Epoch: 5 [2560/46200]	Loss: 1.7234	LR: 0.100000
Training Epoch: 5 [2816/46200]	Loss: 1.6427	LR: 0.100000
Training Epoch: 5 [3072/46200]	Loss: 1.5682	LR: 0.100000
Training Epoch: 5 [3328/46200]	Loss: 1.7157	LR: 0.100000
Training Epoch: 5 [3584/46200]	Loss: 1.6412	LR: 0.100000
Training Epoch: 5 [3840/46200]	Loss: 1.6257	LR: 0.100000
Training Epoch: 5 [4096/46200]	Loss: 1.7419	LR: 0.100000
Training Epoch: 5 [4352/46200]	Loss: 1.6437	LR: 0.100000
Training Epoch: 5 [4608/46200]	Loss: 1.6156	LR: 0.100000
Training Epoch: 5 [4864/46200]	Loss: 1.5902	LR: 0.100000
Training Epoch: 5 [5120/46200]	Loss: 1.6021	LR: 0.100000
Training Epoch: 5 [5376/46200]	Loss: 1.6877	LR: 0.100000
Training Epoch: 5 [5632/46200]	Loss: 1.7916	LR: 0.100000
Training Epoch: 5 [5888/46200]	Loss: 1.6624	LR: 0.100000
Training Epoch: 5 [6144/46200]	Loss: 1.7605	LR: 0.100000
Training Epoch: 5 [6400/46200]	Loss: 1.6745	LR: 0.100000
Training Epoch: 5 [6656/46200]	Loss: 1.7666	LR: 0.100000
Training Epoch: 5 [6912/46200]	Loss: 1.4883	LR: 0.100000
Training Epoch: 5 [7168/46200]	Loss: 1.5614	LR: 0.100000
Training Epoch: 5 [7424/46200]	Loss: 1.5796	LR: 0.100000
Training Epoch: 5 [7680/46200]	Loss: 1.8350	LR: 0.100000
Training Epoch: 5 [7936/46200]	Loss: 1.5675	LR: 0.100000
Training Epoch: 5 [8192/46200]	Loss: 1.7155	LR: 0.100000
Training Epoch: 5 [8448/46200]	Loss: 1.5627	LR: 0.100000
Training Epoch: 5 [8704/46200]	Loss: 1.6497	LR: 0.100000
Training Epoch: 5 [8960/46200]	Loss: 1.6930	LR: 0.100000
Training Epoch: 5 [9216/46200]	Loss: 1.5110	LR: 0.100000
Training Epoch: 5 [9472/46200]	Loss: 1.5593	LR: 0.100000
Training Epoch: 5 [9728/46200]	Loss: 1.6935	LR: 0.100000
Training Epoch: 5 [9984/46200]	Loss: 1.7793	LR: 0.100000
Training Epoch: 5 [10240/46200]	Loss: 1.8489	LR: 0.100000
Training Epoch: 5 [10496/46200]	Loss: 1.7024	LR: 0.100000
Training Epoch: 5 [10752/46200]	Loss: 1.7174	LR: 0.100000
Training Epoch: 5 [11008/46200]	Loss: 1.6475	LR: 0.100000
Training Epoch: 5 [11264/46200]	Loss: 1.7564	LR: 0.100000
Training Epoch: 5 [11520/46200]	Loss: 1.5993	LR: 0.100000
Training Epoch: 5 [11776/46200]	Loss: 1.6133	LR: 0.100000
Training Epoch: 5 [12032/46200]	Loss: 1.7146	LR: 0.100000
Training Epoch: 5 [12288/46200]	Loss: 1.7867	LR: 0.100000
Training Epoch: 5 [12544/46200]	Loss: 1.4999	LR: 0.100000
Training Epoch: 5 [12800/46200]	Loss: 1.5862	LR: 0.100000
Training Epoch: 5 [13056/46200]	Loss: 1.8259	LR: 0.100000
Training Epoch: 5 [13312/46200]	Loss: 1.6337	LR: 0.100000
Training Epoch: 5 [13568/46200]	Loss: 1.8439	LR: 0.100000
Training Epoch: 5 [13824/46200]	Loss: 1.5768	LR: 0.100000
Training Epoch: 5 [14080/46200]	Loss: 1.6767	LR: 0.100000
Training Epoch: 5 [14336/46200]	Loss: 1.6624	LR: 0.100000
Training Epoch: 5 [14592/46200]	Loss: 1.5357	LR: 0.100000
Training Epoch: 5 [14848/46200]	Loss: 1.5821	LR: 0.100000
Training Epoch: 5 [15104/46200]	Loss: 1.7048	LR: 0.100000
Training Epoch: 5 [15360/46200]	Loss: 1.6123	LR: 0.100000
Training Epoch: 5 [15616/46200]	Loss: 1.6207	LR: 0.100000
Training Epoch: 5 [15872/46200]	Loss: 1.6467	LR: 0.100000
Training Epoch: 5 [16128/46200]	Loss: 1.5032	LR: 0.100000
Training Epoch: 5 [16384/46200]	Loss: 1.6196	LR: 0.100000
Training Epoch: 5 [16640/46200]	Loss: 1.6686	LR: 0.100000
Training Epoch: 5 [16896/46200]	Loss: 1.6134	LR: 0.100000
Training Epoch: 5 [17152/46200]	Loss: 1.6450	LR: 0.100000
Training Epoch: 5 [17408/46200]	Loss: 1.6352	LR: 0.100000
Training Epoch: 5 [17664/46200]	Loss: 1.5733	LR: 0.100000
Training Epoch: 5 [17920/46200]	Loss: 1.5839	LR: 0.100000
Training Epoch: 5 [18176/46200]	Loss: 1.5753	LR: 0.100000
Training Epoch: 5 [18432/46200]	Loss: 1.4717	LR: 0.100000
Training Epoch: 5 [18688/46200]	Loss: 1.5587	LR: 0.100000
Training Epoch: 5 [18944/46200]	Loss: 1.5347	LR: 0.100000
Training Epoch: 5 [19200/46200]	Loss: 1.4737	LR: 0.100000
Training Epoch: 5 [19456/46200]	Loss: 1.6233	LR: 0.100000
Training Epoch: 5 [19712/46200]	Loss: 1.4577	LR: 0.100000
Training Epoch: 5 [19968/46200]	Loss: 1.6825	LR: 0.100000
Training Epoch: 5 [20224/46200]	Loss: 1.6268	LR: 0.100000
Training Epoch: 5 [20480/46200]	Loss: 1.5479	LR: 0.100000
Training Epoch: 5 [20736/46200]	Loss: 1.5916	LR: 0.100000
Training Epoch: 5 [20992/46200]	Loss: 1.6636	LR: 0.100000
Training Epoch: 5 [21248/46200]	Loss: 1.5827	LR: 0.100000
Training Epoch: 5 [21504/46200]	Loss: 1.5261	LR: 0.100000
Training Epoch: 5 [21760/46200]	Loss: 1.7999	LR: 0.100000
Training Epoch: 5 [22016/46200]	Loss: 1.4964	LR: 0.100000
Training Epoch: 5 [22272/46200]	Loss: 1.6214	LR: 0.100000
Training Epoch: 5 [22528/46200]	Loss: 1.5749	LR: 0.100000
Training Epoch: 5 [22784/46200]	Loss: 1.4473	LR: 0.100000
Training Epoch: 5 [23040/46200]	Loss: 1.5877	LR: 0.100000
Training Epoch: 5 [23296/46200]	Loss: 1.3984	LR: 0.100000
Training Epoch: 5 [23552/46200]	Loss: 1.5795	LR: 0.100000
Training Epoch: 5 [23808/46200]	Loss: 1.6986	LR: 0.100000
Training Epoch: 5 [24064/46200]	Loss: 1.5621	LR: 0.100000
Training Epoch: 5 [24320/46200]	Loss: 1.5872	LR: 0.100000
Training Epoch: 5 [24576/46200]	Loss: 1.4873	LR: 0.100000
Training Epoch: 5 [24832/46200]	Loss: 1.6023	LR: 0.100000
Training Epoch: 5 [25088/46200]	Loss: 1.5294	LR: 0.100000
Training Epoch: 5 [25344/46200]	Loss: 1.6677	LR: 0.100000
Training Epoch: 5 [25600/46200]	Loss: 1.5791	LR: 0.100000
Training Epoch: 5 [25856/46200]	Loss: 1.4926	LR: 0.100000
Training Epoch: 5 [26112/46200]	Loss: 1.6292	LR: 0.100000
Training Epoch: 5 [26368/46200]	Loss: 1.7211	LR: 0.100000
Training Epoch: 5 [26624/46200]	Loss: 1.5079	LR: 0.100000
Training Epoch: 5 [26880/46200]	Loss: 1.5349	LR: 0.100000
Training Epoch: 5 [27136/46200]	Loss: 1.5116	LR: 0.100000
Training Epoch: 5 [27392/46200]	Loss: 1.4490	LR: 0.100000
Training Epoch: 5 [27648/46200]	Loss: 1.5813	LR: 0.100000
Training Epoch: 5 [27904/46200]	Loss: 1.5534	LR: 0.100000
Training Epoch: 5 [28160/46200]	Loss: 1.5704	LR: 0.100000
Training Epoch: 5 [28416/46200]	Loss: 1.6710	LR: 0.100000
Training Epoch: 5 [28672/46200]	Loss: 1.4099	LR: 0.100000
Training Epoch: 5 [28928/46200]	Loss: 1.5884	LR: 0.100000
Training Epoch: 5 [29184/46200]	Loss: 1.6093	LR: 0.100000
Training Epoch: 5 [29440/46200]	Loss: 1.5445	LR: 0.100000
Training Epoch: 5 [29696/46200]	Loss: 1.4177	LR: 0.100000
Training Epoch: 5 [29952/46200]	Loss: 1.5857	LR: 0.100000
Training Epoch: 5 [30208/46200]	Loss: 1.3941	LR: 0.100000
Training Epoch: 5 [30464/46200]	Loss: 1.4576	LR: 0.100000
Training Epoch: 5 [30720/46200]	Loss: 1.5062	LR: 0.100000
Training Epoch: 5 [30976/46200]	Loss: 1.6349	LR: 0.100000
Training Epoch: 5 [31232/46200]	Loss: 1.5930	LR: 0.100000
Training Epoch: 5 [31488/46200]	Loss: 1.5695	LR: 0.100000
Training Epoch: 5 [31744/46200]	Loss: 1.6664	LR: 0.100000
Training Epoch: 5 [32000/46200]	Loss: 1.6163	LR: 0.100000
Training Epoch: 5 [32256/46200]	Loss: 1.6072	LR: 0.100000
Training Epoch: 5 [32512/46200]	Loss: 1.5927	LR: 0.100000
Training Epoch: 5 [32768/46200]	Loss: 1.3037	LR: 0.100000
Training Epoch: 5 [33024/46200]	Loss: 1.5791	LR: 0.100000
Training Epoch: 5 [33280/46200]	Loss: 1.4711	LR: 0.100000
Training Epoch: 5 [33536/46200]	Loss: 1.5525	LR: 0.100000
Training Epoch: 5 [33792/46200]	Loss: 1.4844	LR: 0.100000
Training Epoch: 5 [34048/46200]	Loss: 1.6108	LR: 0.100000
Training Epoch: 5 [34304/46200]	Loss: 1.6031	LR: 0.100000
Training Epoch: 5 [34560/46200]	Loss: 1.5019	LR: 0.100000
Training Epoch: 5 [34816/46200]	Loss: 1.6372	LR: 0.100000
Training Epoch: 5 [35072/46200]	Loss: 1.5954	LR: 0.100000
Training Epoch: 5 [35328/46200]	Loss: 1.5823	LR: 0.100000
Training Epoch: 5 [35584/46200]	Loss: 1.6879	LR: 0.100000
Training Epoch: 5 [35840/46200]	Loss: 1.4192	LR: 0.100000
Training Epoch: 5 [36096/46200]	Loss: 1.6504	LR: 0.100000
Training Epoch: 5 [36352/46200]	Loss: 1.5794	LR: 0.100000
Training Epoch: 5 [36608/46200]	Loss: 1.6405	LR: 0.100000
Training Epoch: 5 [36864/46200]	Loss: 1.5689	LR: 0.100000
Training Epoch: 5 [37120/46200]	Loss: 1.4386	LR: 0.100000
Training Epoch: 5 [37376/46200]	Loss: 1.5183	LR: 0.100000
Training Epoch: 5 [37632/46200]	Loss: 1.5244	LR: 0.100000
Training Epoch: 5 [37888/46200]	Loss: 1.4801	LR: 0.100000
Training Epoch: 5 [38144/46200]	Loss: 1.5413	LR: 0.100000
Training Epoch: 5 [38400/46200]	Loss: 1.4865	LR: 0.100000
Training Epoch: 5 [38656/46200]	Loss: 1.5464	LR: 0.100000
Training Epoch: 5 [38912/46200]	Loss: 1.4151	LR: 0.100000
Training Epoch: 5 [39168/46200]	Loss: 1.5436	LR: 0.100000
Training Epoch: 5 [39424/46200]	Loss: 1.6686	LR: 0.100000
Training Epoch: 5 [39680/46200]	Loss: 1.4951	LR: 0.100000
Training Epoch: 5 [39936/46200]	Loss: 1.4385	LR: 0.100000
Training Epoch: 5 [40192/46200]	Loss: 1.5131	LR: 0.100000
Training Epoch: 5 [40448/46200]	Loss: 1.6281	LR: 0.100000
Training Epoch: 5 [40704/46200]	Loss: 1.4197	LR: 0.100000
Training Epoch: 5 [40960/46200]	Loss: 1.5090	LR: 0.100000
Training Epoch: 5 [41216/46200]	Loss: 1.5222	LR: 0.100000
Training Epoch: 5 [41472/46200]	Loss: 1.6770	LR: 0.100000
Training Epoch: 5 [41728/46200]	Loss: 1.4777	LR: 0.100000
Training Epoch: 5 [41984/46200]	Loss: 1.4213	LR: 0.100000
Training Epoch: 5 [42240/46200]	Loss: 1.5881	LR: 0.100000
Training Epoch: 5 [42496/46200]	Loss: 1.5889	LR: 0.100000
Training Epoch: 5 [42752/46200]	Loss: 1.5903	LR: 0.100000
Training Epoch: 5 [43008/46200]	Loss: 1.5167	LR: 0.100000
Training Epoch: 5 [43264/46200]	Loss: 1.5667	LR: 0.100000
Training Epoch: 5 [43520/46200]	Loss: 1.6858	LR: 0.100000
Training Epoch: 5 [43776/46200]	Loss: 1.5514	LR: 0.100000
Training Epoch: 5 [44032/46200]	Loss: 1.6856	LR: 0.100000
Training Epoch: 5 [44288/46200]	Loss: 1.4716	LR: 0.100000
Training Epoch: 5 [44544/46200]	Loss: 1.5230	LR: 0.100000
Training Epoch: 5 [44800/46200]	Loss: 1.5263	LR: 0.100000
Training Epoch: 5 [45056/46200]	Loss: 1.6697	LR: 0.100000
Training Epoch: 5 [45312/46200]	Loss: 1.4943	LR: 0.100000
Training Epoch: 5 [45568/46200]	Loss: 1.4400	LR: 0.100000
Training Epoch: 5 [45824/46200]	Loss: 1.5884	LR: 0.100000
Training Epoch: 5 [46080/46200]	Loss: 1.3069	LR: 0.100000
Training Epoch: 5 [46200/46200]	Loss: 1.4731	LR: 0.100000
Epoch 5 - Average Train Loss: 1.5865, Train Accuracy: 0.4983
Epoch 5 training time consumed: 24.96s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0066, Accuracy: 0.4945, Time consumed:0.87s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_18h_30m_43s/AllCNN-Cifar20-seed8-ret25-5-best.pth
Training Epoch: 6 [256/46200]	Loss: 1.3621	LR: 0.100000
Training Epoch: 6 [512/46200]	Loss: 1.3954	LR: 0.100000
Training Epoch: 6 [768/46200]	Loss: 1.4466	LR: 0.100000
Training Epoch: 6 [1024/46200]	Loss: 1.4790	LR: 0.100000
Training Epoch: 6 [1280/46200]	Loss: 1.4937	LR: 0.100000
Training Epoch: 6 [1536/46200]	Loss: 1.5295	LR: 0.100000
Training Epoch: 6 [1792/46200]	Loss: 1.4497	LR: 0.100000
Training Epoch: 6 [2048/46200]	Loss: 1.5427	LR: 0.100000
Training Epoch: 6 [2304/46200]	Loss: 1.5124	LR: 0.100000
Training Epoch: 6 [2560/46200]	Loss: 1.4106	LR: 0.100000
Training Epoch: 6 [2816/46200]	Loss: 1.4034	LR: 0.100000
Training Epoch: 6 [3072/46200]	Loss: 1.5663	LR: 0.100000
Training Epoch: 6 [3328/46200]	Loss: 1.4764	LR: 0.100000
Training Epoch: 6 [3584/46200]	Loss: 1.5839	LR: 0.100000
Training Epoch: 6 [3840/46200]	Loss: 1.4363	LR: 0.100000
Training Epoch: 6 [4096/46200]	Loss: 1.5465	LR: 0.100000
Training Epoch: 6 [4352/46200]	Loss: 1.4024	LR: 0.100000
Training Epoch: 6 [4608/46200]	Loss: 1.3636	LR: 0.100000
Training Epoch: 6 [4864/46200]	Loss: 1.3871	LR: 0.100000
Training Epoch: 6 [5120/46200]	Loss: 1.3794	LR: 0.100000
Training Epoch: 6 [5376/46200]	Loss: 1.5204	LR: 0.100000
Training Epoch: 6 [5632/46200]	Loss: 1.5627	LR: 0.100000
Training Epoch: 6 [5888/46200]	Loss: 1.4791	LR: 0.100000
Training Epoch: 6 [6144/46200]	Loss: 1.6295	LR: 0.100000
Training Epoch: 6 [6400/46200]	Loss: 1.4690	LR: 0.100000
Training Epoch: 6 [6656/46200]	Loss: 1.5176	LR: 0.100000
Training Epoch: 6 [6912/46200]	Loss: 1.4320	LR: 0.100000
Training Epoch: 6 [7168/46200]	Loss: 1.3953	LR: 0.100000
Training Epoch: 6 [7424/46200]	Loss: 1.5150	LR: 0.100000
Training Epoch: 6 [7680/46200]	Loss: 1.3840	LR: 0.100000
Training Epoch: 6 [7936/46200]	Loss: 1.6084	LR: 0.100000
Training Epoch: 6 [8192/46200]	Loss: 1.5398	LR: 0.100000
Training Epoch: 6 [8448/46200]	Loss: 1.5621	LR: 0.100000
Training Epoch: 6 [8704/46200]	Loss: 1.5174	LR: 0.100000
Training Epoch: 6 [8960/46200]	Loss: 1.3705	LR: 0.100000
Training Epoch: 6 [9216/46200]	Loss: 1.4661	LR: 0.100000
Training Epoch: 6 [9472/46200]	Loss: 1.5478	LR: 0.100000
Training Epoch: 6 [9728/46200]	Loss: 1.3836	LR: 0.100000
Training Epoch: 6 [9984/46200]	Loss: 1.4595	LR: 0.100000
Training Epoch: 6 [10240/46200]	Loss: 1.4971	LR: 0.100000
Training Epoch: 6 [10496/46200]	Loss: 1.3778	LR: 0.100000
Training Epoch: 6 [10752/46200]	Loss: 1.3358	LR: 0.100000
Training Epoch: 6 [11008/46200]	Loss: 1.6100	LR: 0.100000
Training Epoch: 6 [11264/46200]	Loss: 1.5650	LR: 0.100000
Training Epoch: 6 [11520/46200]	Loss: 1.3277	LR: 0.100000
Training Epoch: 6 [11776/46200]	Loss: 1.6360	LR: 0.100000
Training Epoch: 6 [12032/46200]	Loss: 1.4882	LR: 0.100000
Training Epoch: 6 [12288/46200]	Loss: 1.5839	LR: 0.100000
Training Epoch: 6 [12544/46200]	Loss: 1.5833	LR: 0.100000
Training Epoch: 6 [12800/46200]	Loss: 1.4592	LR: 0.100000
Training Epoch: 6 [13056/46200]	Loss: 1.4210	LR: 0.100000
Training Epoch: 6 [13312/46200]	Loss: 1.3953	LR: 0.100000
Training Epoch: 6 [13568/46200]	Loss: 1.3856	LR: 0.100000
Training Epoch: 6 [13824/46200]	Loss: 1.4346	LR: 0.100000
Training Epoch: 6 [14080/46200]	Loss: 1.4294	LR: 0.100000
Training Epoch: 6 [14336/46200]	Loss: 1.4364	LR: 0.100000
Training Epoch: 6 [14592/46200]	Loss: 1.4073	LR: 0.100000
Training Epoch: 6 [14848/46200]	Loss: 1.4477	LR: 0.100000
Training Epoch: 6 [15104/46200]	Loss: 1.4878	LR: 0.100000
Training Epoch: 6 [15360/46200]	Loss: 1.3943	LR: 0.100000
Training Epoch: 6 [15616/46200]	Loss: 1.4666	LR: 0.100000
Training Epoch: 6 [15872/46200]	Loss: 1.5331	LR: 0.100000
Training Epoch: 6 [16128/46200]	Loss: 1.5525	LR: 0.100000
Training Epoch: 6 [16384/46200]	Loss: 1.4611	LR: 0.100000
Training Epoch: 6 [16640/46200]	Loss: 1.4034	LR: 0.100000
Training Epoch: 6 [16896/46200]	Loss: 1.4997	LR: 0.100000
Training Epoch: 6 [17152/46200]	Loss: 1.4578	LR: 0.100000
Training Epoch: 6 [17408/46200]	Loss: 1.6187	LR: 0.100000
Training Epoch: 6 [17664/46200]	Loss: 1.5496	LR: 0.100000
Training Epoch: 6 [17920/46200]	Loss: 1.4331	LR: 0.100000
Training Epoch: 6 [18176/46200]	Loss: 1.4385	LR: 0.100000
Training Epoch: 6 [18432/46200]	Loss: 1.5435	LR: 0.100000
Training Epoch: 6 [18688/46200]	Loss: 1.5298	LR: 0.100000
Training Epoch: 6 [18944/46200]	Loss: 1.5970	LR: 0.100000
Training Epoch: 6 [19200/46200]	Loss: 1.3942	LR: 0.100000
Training Epoch: 6 [19456/46200]	Loss: 1.3687	LR: 0.100000
Training Epoch: 6 [19712/46200]	Loss: 1.4462	LR: 0.100000
Training Epoch: 6 [19968/46200]	Loss: 1.4239	LR: 0.100000
Training Epoch: 6 [20224/46200]	Loss: 1.3728	LR: 0.100000
Training Epoch: 6 [20480/46200]	Loss: 1.5471	LR: 0.100000
Training Epoch: 6 [20736/46200]	Loss: 1.4840	LR: 0.100000
Training Epoch: 6 [20992/46200]	Loss: 1.5987	LR: 0.100000
Training Epoch: 6 [21248/46200]	Loss: 1.4610	LR: 0.100000
Training Epoch: 6 [21504/46200]	Loss: 1.3680	LR: 0.100000
Training Epoch: 6 [21760/46200]	Loss: 1.3319	LR: 0.100000
Training Epoch: 6 [22016/46200]	Loss: 1.5162	LR: 0.100000
Training Epoch: 6 [22272/46200]	Loss: 1.4243	LR: 0.100000
Training Epoch: 6 [22528/46200]	Loss: 1.5314	LR: 0.100000
Training Epoch: 6 [22784/46200]	Loss: 1.3732	LR: 0.100000
Training Epoch: 6 [23040/46200]	Loss: 1.5032	LR: 0.100000
Training Epoch: 6 [23296/46200]	Loss: 1.5097	LR: 0.100000
Training Epoch: 6 [23552/46200]	Loss: 1.3231	LR: 0.100000
Training Epoch: 6 [23808/46200]	Loss: 1.5050	LR: 0.100000
Training Epoch: 6 [24064/46200]	Loss: 1.3204	LR: 0.100000
Training Epoch: 6 [24320/46200]	Loss: 1.5022	LR: 0.100000
Training Epoch: 6 [24576/46200]	Loss: 1.4804	LR: 0.100000
Training Epoch: 6 [24832/46200]	Loss: 1.5416	LR: 0.100000
Training Epoch: 6 [25088/46200]	Loss: 1.3456	LR: 0.100000
Training Epoch: 6 [25344/46200]	Loss: 1.4268	LR: 0.100000
Training Epoch: 6 [25600/46200]	Loss: 1.6889	LR: 0.100000
Training Epoch: 6 [25856/46200]	Loss: 1.6832	LR: 0.100000
Training Epoch: 6 [26112/46200]	Loss: 1.4491	LR: 0.100000
Training Epoch: 6 [26368/46200]	Loss: 1.4393	LR: 0.100000
Training Epoch: 6 [26624/46200]	Loss: 1.4707	LR: 0.100000
Training Epoch: 6 [26880/46200]	Loss: 1.4724	LR: 0.100000
Training Epoch: 6 [27136/46200]	Loss: 1.3340	LR: 0.100000
Training Epoch: 6 [27392/46200]	Loss: 1.3832	LR: 0.100000
Training Epoch: 6 [27648/46200]	Loss: 1.5080	LR: 0.100000
Training Epoch: 6 [27904/46200]	Loss: 1.5153	LR: 0.100000
Training Epoch: 6 [28160/46200]	Loss: 1.4024	LR: 0.100000
Training Epoch: 6 [28416/46200]	Loss: 1.4727	LR: 0.100000
Training Epoch: 6 [28672/46200]	Loss: 1.3298	LR: 0.100000
Training Epoch: 6 [28928/46200]	Loss: 1.3686	LR: 0.100000
Training Epoch: 6 [29184/46200]	Loss: 1.5059	LR: 0.100000
Training Epoch: 6 [29440/46200]	Loss: 1.4169	LR: 0.100000
Training Epoch: 6 [29696/46200]	Loss: 1.5653	LR: 0.100000
Training Epoch: 6 [29952/46200]	Loss: 1.6268	LR: 0.100000
Training Epoch: 6 [30208/46200]	Loss: 1.5277	LR: 0.100000
Training Epoch: 6 [30464/46200]	Loss: 1.4022	LR: 0.100000
Training Epoch: 6 [30720/46200]	Loss: 1.2888	LR: 0.100000
Training Epoch: 6 [30976/46200]	Loss: 1.3347	LR: 0.100000
Training Epoch: 6 [31232/46200]	Loss: 1.4930	LR: 0.100000
Training Epoch: 6 [31488/46200]	Loss: 1.3646	LR: 0.100000
Training Epoch: 6 [31744/46200]	Loss: 1.4674	LR: 0.100000
Training Epoch: 6 [32000/46200]	Loss: 1.4474	LR: 0.100000
Training Epoch: 6 [32256/46200]	Loss: 1.4927	LR: 0.100000
Training Epoch: 6 [32512/46200]	Loss: 1.3936	LR: 0.100000
Training Epoch: 6 [32768/46200]	Loss: 1.4685	LR: 0.100000
Training Epoch: 6 [33024/46200]	Loss: 1.5198	LR: 0.100000
Training Epoch: 6 [33280/46200]	Loss: 1.6042	LR: 0.100000
Training Epoch: 6 [33536/46200]	Loss: 1.4335	LR: 0.100000
Training Epoch: 6 [33792/46200]	Loss: 1.4540	LR: 0.100000
Training Epoch: 6 [34048/46200]	Loss: 1.3779	LR: 0.100000
Training Epoch: 6 [34304/46200]	Loss: 1.4961	LR: 0.100000
Training Epoch: 6 [34560/46200]	Loss: 1.5371	LR: 0.100000
Training Epoch: 6 [34816/46200]	Loss: 1.4148	LR: 0.100000
Training Epoch: 6 [35072/46200]	Loss: 1.5503	LR: 0.100000
Training Epoch: 6 [35328/46200]	Loss: 1.5722	LR: 0.100000
Training Epoch: 6 [35584/46200]	Loss: 1.4113	LR: 0.100000
Training Epoch: 6 [35840/46200]	Loss: 1.4992	LR: 0.100000
Training Epoch: 6 [36096/46200]	Loss: 1.4818	LR: 0.100000
Training Epoch: 6 [36352/46200]	Loss: 1.4091	LR: 0.100000
Training Epoch: 6 [36608/46200]	Loss: 1.4736	LR: 0.100000
Training Epoch: 6 [36864/46200]	Loss: 1.4038	LR: 0.100000
Training Epoch: 6 [37120/46200]	Loss: 1.5530	LR: 0.100000
Training Epoch: 6 [37376/46200]	Loss: 1.3984	LR: 0.100000
Training Epoch: 6 [37632/46200]	Loss: 1.3958	LR: 0.100000
Training Epoch: 6 [37888/46200]	Loss: 1.4400	LR: 0.100000
Training Epoch: 6 [38144/46200]	Loss: 1.5481	LR: 0.100000
Training Epoch: 6 [38400/46200]	Loss: 1.4078	LR: 0.100000
Training Epoch: 6 [38656/46200]	Loss: 1.5745	LR: 0.100000
Training Epoch: 6 [38912/46200]	Loss: 1.4438	LR: 0.100000
Training Epoch: 6 [39168/46200]	Loss: 1.3799	LR: 0.100000
Training Epoch: 6 [39424/46200]	Loss: 1.4324	LR: 0.100000
Training Epoch: 6 [39680/46200]	Loss: 1.2718	LR: 0.100000
Training Epoch: 6 [39936/46200]	Loss: 1.2596	LR: 0.100000
Training Epoch: 6 [40192/46200]	Loss: 1.5126	LR: 0.100000
Training Epoch: 6 [40448/46200]	Loss: 1.2856	LR: 0.100000
Training Epoch: 6 [40704/46200]	Loss: 1.3957	LR: 0.100000
Training Epoch: 6 [40960/46200]	Loss: 1.4917	LR: 0.100000
Training Epoch: 6 [41216/46200]	Loss: 1.4182	LR: 0.100000
Training Epoch: 6 [41472/46200]	Loss: 1.3971	LR: 0.100000
Training Epoch: 6 [41728/46200]	Loss: 1.5542	LR: 0.100000
Training Epoch: 6 [41984/46200]	Loss: 1.4492	LR: 0.100000
Training Epoch: 6 [42240/46200]	Loss: 1.4374	LR: 0.100000
Training Epoch: 6 [42496/46200]	Loss: 1.4753	LR: 0.100000
Training Epoch: 6 [42752/46200]	Loss: 1.3951	LR: 0.100000
Training Epoch: 6 [43008/46200]	Loss: 1.4458	LR: 0.100000
Training Epoch: 6 [43264/46200]	Loss: 1.3918	LR: 0.100000
Training Epoch: 6 [43520/46200]	Loss: 1.4768	LR: 0.100000
Training Epoch: 6 [43776/46200]	Loss: 1.3553	LR: 0.100000
Training Epoch: 6 [44032/46200]	Loss: 1.3451	LR: 0.100000
Training Epoch: 6 [44288/46200]	Loss: 1.3552	LR: 0.100000
Training Epoch: 6 [44544/46200]	Loss: 1.3383	LR: 0.100000
Training Epoch: 6 [44800/46200]	Loss: 1.5463	LR: 0.100000
Training Epoch: 6 [45056/46200]	Loss: 1.4873	LR: 0.100000
Training Epoch: 6 [45312/46200]	Loss: 1.4255	LR: 0.100000
Training Epoch: 6 [45568/46200]	Loss: 1.4151	LR: 0.100000
Training Epoch: 6 [45824/46200]	Loss: 1.3618	LR: 0.100000
Training Epoch: 6 [46080/46200]	Loss: 1.4731	LR: 0.100000
Training Epoch: 6 [46200/46200]	Loss: 1.0572	LR: 0.100000
Epoch 6 - Average Train Loss: 1.4584, Train Accuracy: 0.5340
Epoch 6 training time consumed: 25.15s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0061, Accuracy: 0.5191, Time consumed:0.88s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_18h_30m_43s/AllCNN-Cifar20-seed8-ret25-6-best.pth
Training Epoch: 7 [256/46200]	Loss: 1.2949	LR: 0.100000
Training Epoch: 7 [512/46200]	Loss: 1.1557	LR: 0.100000
Training Epoch: 7 [768/46200]	Loss: 1.2652	LR: 0.100000
Training Epoch: 7 [1024/46200]	Loss: 1.3293	LR: 0.100000
Training Epoch: 7 [1280/46200]	Loss: 1.4223	LR: 0.100000
Training Epoch: 7 [1536/46200]	Loss: 1.4688	LR: 0.100000
Training Epoch: 7 [1792/46200]	Loss: 1.2167	LR: 0.100000
Training Epoch: 7 [2048/46200]	Loss: 1.4512	LR: 0.100000
Training Epoch: 7 [2304/46200]	Loss: 1.3219	LR: 0.100000
Training Epoch: 7 [2560/46200]	Loss: 1.2589	LR: 0.100000
Training Epoch: 7 [2816/46200]	Loss: 1.5945	LR: 0.100000
Training Epoch: 7 [3072/46200]	Loss: 1.2960	LR: 0.100000
Training Epoch: 7 [3328/46200]	Loss: 1.3765	LR: 0.100000
Training Epoch: 7 [3584/46200]	Loss: 1.2839	LR: 0.100000
Training Epoch: 7 [3840/46200]	Loss: 1.3547	LR: 0.100000
Training Epoch: 7 [4096/46200]	Loss: 1.2633	LR: 0.100000
Training Epoch: 7 [4352/46200]	Loss: 1.3533	LR: 0.100000
Training Epoch: 7 [4608/46200]	Loss: 1.4276	LR: 0.100000
Training Epoch: 7 [4864/46200]	Loss: 1.4771	LR: 0.100000
Training Epoch: 7 [5120/46200]	Loss: 1.4634	LR: 0.100000
Training Epoch: 7 [5376/46200]	Loss: 1.4811	LR: 0.100000
Training Epoch: 7 [5632/46200]	Loss: 1.3340	LR: 0.100000
Training Epoch: 7 [5888/46200]	Loss: 1.3848	LR: 0.100000
Training Epoch: 7 [6144/46200]	Loss: 1.2872	LR: 0.100000
Training Epoch: 7 [6400/46200]	Loss: 1.3185	LR: 0.100000
Training Epoch: 7 [6656/46200]	Loss: 1.1601	LR: 0.100000
Training Epoch: 7 [6912/46200]	Loss: 1.2511	LR: 0.100000
Training Epoch: 7 [7168/46200]	Loss: 1.2920	LR: 0.100000
Training Epoch: 7 [7424/46200]	Loss: 1.3906	LR: 0.100000
Training Epoch: 7 [7680/46200]	Loss: 1.3195	LR: 0.100000
Training Epoch: 7 [7936/46200]	Loss: 1.3405	LR: 0.100000
Training Epoch: 7 [8192/46200]	Loss: 1.4110	LR: 0.100000
Training Epoch: 7 [8448/46200]	Loss: 1.2521	LR: 0.100000
Training Epoch: 7 [8704/46200]	Loss: 1.3594	LR: 0.100000
Training Epoch: 7 [8960/46200]	Loss: 1.2837	LR: 0.100000
Training Epoch: 7 [9216/46200]	Loss: 1.3624	LR: 0.100000
Training Epoch: 7 [9472/46200]	Loss: 1.3795	LR: 0.100000
Training Epoch: 7 [9728/46200]	Loss: 1.3572	LR: 0.100000
Training Epoch: 7 [9984/46200]	Loss: 1.3659	LR: 0.100000
Training Epoch: 7 [10240/46200]	Loss: 1.3154	LR: 0.100000
Training Epoch: 7 [10496/46200]	Loss: 1.2523	LR: 0.100000
Training Epoch: 7 [10752/46200]	Loss: 1.4149	LR: 0.100000
Training Epoch: 7 [11008/46200]	Loss: 1.4688	LR: 0.100000
Training Epoch: 7 [11264/46200]	Loss: 1.3958	LR: 0.100000
Training Epoch: 7 [11520/46200]	Loss: 1.3236	LR: 0.100000
Training Epoch: 7 [11776/46200]	Loss: 1.2949	LR: 0.100000
Training Epoch: 7 [12032/46200]	Loss: 1.3487	LR: 0.100000
Training Epoch: 7 [12288/46200]	Loss: 1.5008	LR: 0.100000
Training Epoch: 7 [12544/46200]	Loss: 1.4865	LR: 0.100000
Training Epoch: 7 [12800/46200]	Loss: 1.2886	LR: 0.100000
Training Epoch: 7 [13056/46200]	Loss: 1.3392	LR: 0.100000
Training Epoch: 7 [13312/46200]	Loss: 1.4097	LR: 0.100000
Training Epoch: 7 [13568/46200]	Loss: 1.3220	LR: 0.100000
Training Epoch: 7 [13824/46200]	Loss: 1.2582	LR: 0.100000
Training Epoch: 7 [14080/46200]	Loss: 1.3548	LR: 0.100000
Training Epoch: 7 [14336/46200]	Loss: 1.2987	LR: 0.100000
Training Epoch: 7 [14592/46200]	Loss: 1.3358	LR: 0.100000
Training Epoch: 7 [14848/46200]	Loss: 1.2991	LR: 0.100000
Training Epoch: 7 [15104/46200]	Loss: 1.3442	LR: 0.100000
Training Epoch: 7 [15360/46200]	Loss: 1.4352	LR: 0.100000
Training Epoch: 7 [15616/46200]	Loss: 1.4701	LR: 0.100000
Training Epoch: 7 [15872/46200]	Loss: 1.2498	LR: 0.100000
Training Epoch: 7 [16128/46200]	Loss: 1.4090	LR: 0.100000
Training Epoch: 7 [16384/46200]	Loss: 1.3411	LR: 0.100000
Training Epoch: 7 [16640/46200]	Loss: 1.4253	LR: 0.100000
Training Epoch: 7 [16896/46200]	Loss: 1.3873	LR: 0.100000
Training Epoch: 7 [17152/46200]	Loss: 1.3460	LR: 0.100000
Training Epoch: 7 [17408/46200]	Loss: 1.3171	LR: 0.100000
Training Epoch: 7 [17664/46200]	Loss: 1.2380	LR: 0.100000
Training Epoch: 7 [17920/46200]	Loss: 1.5018	LR: 0.100000
Training Epoch: 7 [18176/46200]	Loss: 1.2728	LR: 0.100000
Training Epoch: 7 [18432/46200]	Loss: 1.3668	LR: 0.100000
Training Epoch: 7 [18688/46200]	Loss: 1.3962	LR: 0.100000
Training Epoch: 7 [18944/46200]	Loss: 1.3666	LR: 0.100000
Training Epoch: 7 [19200/46200]	Loss: 1.4573	LR: 0.100000
Training Epoch: 7 [19456/46200]	Loss: 1.4913	LR: 0.100000
Training Epoch: 7 [19712/46200]	Loss: 1.3514	LR: 0.100000
Training Epoch: 7 [19968/46200]	Loss: 1.5021	LR: 0.100000
Training Epoch: 7 [20224/46200]	Loss: 1.1532	LR: 0.100000
Training Epoch: 7 [20480/46200]	Loss: 1.6383	LR: 0.100000
Training Epoch: 7 [20736/46200]	Loss: 1.3911	LR: 0.100000
Training Epoch: 7 [20992/46200]	Loss: 1.3606	LR: 0.100000
Training Epoch: 7 [21248/46200]	Loss: 1.2837	LR: 0.100000
Training Epoch: 7 [21504/46200]	Loss: 1.3415	LR: 0.100000
Training Epoch: 7 [21760/46200]	Loss: 1.3669	LR: 0.100000
Training Epoch: 7 [22016/46200]	Loss: 1.3355	LR: 0.100000
Training Epoch: 7 [22272/46200]	Loss: 1.2861	LR: 0.100000
Training Epoch: 7 [22528/46200]	Loss: 1.5050	LR: 0.100000
Training Epoch: 7 [22784/46200]	Loss: 1.3538	LR: 0.100000
Training Epoch: 7 [23040/46200]	Loss: 1.2382	LR: 0.100000
Training Epoch: 7 [23296/46200]	Loss: 1.2726	LR: 0.100000
Training Epoch: 7 [23552/46200]	Loss: 1.3712	LR: 0.100000
Training Epoch: 7 [23808/46200]	Loss: 1.1851	LR: 0.100000
Training Epoch: 7 [24064/46200]	Loss: 1.4046	LR: 0.100000
Training Epoch: 7 [24320/46200]	Loss: 1.4258	LR: 0.100000
Training Epoch: 7 [24576/46200]	Loss: 1.3946	LR: 0.100000
Training Epoch: 7 [24832/46200]	Loss: 1.3759	LR: 0.100000
Training Epoch: 7 [25088/46200]	Loss: 1.3838	LR: 0.100000
Training Epoch: 7 [25344/46200]	Loss: 1.3250	LR: 0.100000
Training Epoch: 7 [25600/46200]	Loss: 1.3551	LR: 0.100000
Training Epoch: 7 [25856/46200]	Loss: 1.3509	LR: 0.100000
Training Epoch: 7 [26112/46200]	Loss: 1.4251	LR: 0.100000
Training Epoch: 7 [26368/46200]	Loss: 1.2595	LR: 0.100000
Training Epoch: 7 [26624/46200]	Loss: 1.3146	LR: 0.100000
Training Epoch: 7 [26880/46200]	Loss: 1.5245	LR: 0.100000
Training Epoch: 7 [27136/46200]	Loss: 1.3796	LR: 0.100000
Training Epoch: 7 [27392/46200]	Loss: 1.4341	LR: 0.100000
Training Epoch: 7 [27648/46200]	Loss: 1.4244	LR: 0.100000
Training Epoch: 7 [27904/46200]	Loss: 1.3570	LR: 0.100000
Training Epoch: 7 [28160/46200]	Loss: 1.2434	LR: 0.100000
Training Epoch: 7 [28416/46200]	Loss: 1.4942	LR: 0.100000
Training Epoch: 7 [28672/46200]	Loss: 1.4538	LR: 0.100000
Training Epoch: 7 [28928/46200]	Loss: 1.4064	LR: 0.100000
Training Epoch: 7 [29184/46200]	Loss: 1.4154	LR: 0.100000
Training Epoch: 7 [29440/46200]	Loss: 1.4896	LR: 0.100000
Training Epoch: 7 [29696/46200]	Loss: 1.5432	LR: 0.100000
Training Epoch: 7 [29952/46200]	Loss: 1.4827	LR: 0.100000
Training Epoch: 7 [30208/46200]	Loss: 1.4362	LR: 0.100000
Training Epoch: 7 [30464/46200]	Loss: 1.2749	LR: 0.100000
Training Epoch: 7 [30720/46200]	Loss: 1.3384	LR: 0.100000
Training Epoch: 7 [30976/46200]	Loss: 1.3412	LR: 0.100000
Training Epoch: 7 [31232/46200]	Loss: 1.3634	LR: 0.100000
Training Epoch: 7 [31488/46200]	Loss: 1.4111	LR: 0.100000
Training Epoch: 7 [31744/46200]	Loss: 1.3948	LR: 0.100000
Training Epoch: 7 [32000/46200]	Loss: 1.6172	LR: 0.100000
Training Epoch: 7 [32256/46200]	Loss: 1.3027	LR: 0.100000
Training Epoch: 7 [32512/46200]	Loss: 1.3501	LR: 0.100000
Training Epoch: 7 [32768/46200]	Loss: 1.3223	LR: 0.100000
Training Epoch: 7 [33024/46200]	Loss: 1.3766	LR: 0.100000
Training Epoch: 7 [33280/46200]	Loss: 1.4030	LR: 0.100000
Training Epoch: 7 [33536/46200]	Loss: 1.4431	LR: 0.100000
Training Epoch: 7 [33792/46200]	Loss: 1.4489	LR: 0.100000
Training Epoch: 7 [34048/46200]	Loss: 1.2764	LR: 0.100000
Training Epoch: 7 [34304/46200]	Loss: 1.3600	LR: 0.100000
Training Epoch: 7 [34560/46200]	Loss: 1.3802	LR: 0.100000
Training Epoch: 7 [34816/46200]	Loss: 1.3695	LR: 0.100000
Training Epoch: 7 [35072/46200]	Loss: 1.4079	LR: 0.100000
Training Epoch: 7 [35328/46200]	Loss: 1.2585	LR: 0.100000
Training Epoch: 7 [35584/46200]	Loss: 1.3088	LR: 0.100000
Training Epoch: 7 [35840/46200]	Loss: 1.3116	LR: 0.100000
Training Epoch: 7 [36096/46200]	Loss: 1.3228	LR: 0.100000
Training Epoch: 7 [36352/46200]	Loss: 1.4220	LR: 0.100000
Training Epoch: 7 [36608/46200]	Loss: 1.3817	LR: 0.100000
Training Epoch: 7 [36864/46200]	Loss: 1.4562	LR: 0.100000
Training Epoch: 7 [37120/46200]	Loss: 1.3255	LR: 0.100000
Training Epoch: 7 [37376/46200]	Loss: 1.4585	LR: 0.100000
Training Epoch: 7 [37632/46200]	Loss: 1.4118	LR: 0.100000
Training Epoch: 7 [37888/46200]	Loss: 1.2992	LR: 0.100000
Training Epoch: 7 [38144/46200]	Loss: 1.4028	LR: 0.100000
Training Epoch: 7 [38400/46200]	Loss: 1.2590	LR: 0.100000
Training Epoch: 7 [38656/46200]	Loss: 1.4079	LR: 0.100000
Training Epoch: 7 [38912/46200]	Loss: 1.3611	LR: 0.100000
Training Epoch: 7 [39168/46200]	Loss: 1.3249	LR: 0.100000
Training Epoch: 7 [39424/46200]	Loss: 1.2242	LR: 0.100000
Training Epoch: 7 [39680/46200]	Loss: 1.2683	LR: 0.100000
Training Epoch: 7 [39936/46200]	Loss: 1.3720	LR: 0.100000
Training Epoch: 7 [40192/46200]	Loss: 1.2996	LR: 0.100000
Training Epoch: 7 [40448/46200]	Loss: 1.3974	LR: 0.100000
Training Epoch: 7 [40704/46200]	Loss: 1.3476	LR: 0.100000
Training Epoch: 7 [40960/46200]	Loss: 1.4447	LR: 0.100000
Training Epoch: 7 [41216/46200]	Loss: 1.3354	LR: 0.100000
Training Epoch: 7 [41472/46200]	Loss: 1.3251	LR: 0.100000
Training Epoch: 7 [41728/46200]	Loss: 1.3624	LR: 0.100000
Training Epoch: 7 [41984/46200]	Loss: 1.3959	LR: 0.100000
Training Epoch: 7 [42240/46200]	Loss: 1.4836	LR: 0.100000
Training Epoch: 7 [42496/46200]	Loss: 1.1619	LR: 0.100000
Training Epoch: 7 [42752/46200]	Loss: 1.3893	LR: 0.100000
Training Epoch: 7 [43008/46200]	Loss: 1.3270	LR: 0.100000
Training Epoch: 7 [43264/46200]	Loss: 1.5839	LR: 0.100000
Training Epoch: 7 [43520/46200]	Loss: 1.3585	LR: 0.100000
Training Epoch: 7 [43776/46200]	Loss: 1.3878	LR: 0.100000
Training Epoch: 7 [44032/46200]	Loss: 1.2138	LR: 0.100000
Training Epoch: 7 [44288/46200]	Loss: 1.3171	LR: 0.100000
Training Epoch: 7 [44544/46200]	Loss: 1.2798	LR: 0.100000
Training Epoch: 7 [44800/46200]	Loss: 1.3055	LR: 0.100000
Training Epoch: 7 [45056/46200]	Loss: 1.3599	LR: 0.100000
Training Epoch: 7 [45312/46200]	Loss: 1.2684	LR: 0.100000
Training Epoch: 7 [45568/46200]	Loss: 1.3729	LR: 0.100000
Training Epoch: 7 [45824/46200]	Loss: 1.3110	LR: 0.100000
Training Epoch: 7 [46080/46200]	Loss: 1.3284	LR: 0.100000
Training Epoch: 7 [46200/46200]	Loss: 1.3994	LR: 0.100000
Epoch 7 - Average Train Loss: 1.3617, Train Accuracy: 0.5648
Epoch 7 training time consumed: 25.09s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0059, Accuracy: 0.5459, Time consumed:0.95s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_18h_30m_43s/AllCNN-Cifar20-seed8-ret25-7-best.pth
Training Epoch: 8 [256/46200]	Loss: 1.3410	LR: 0.100000
Training Epoch: 8 [512/46200]	Loss: 1.2594	LR: 0.100000
Training Epoch: 8 [768/46200]	Loss: 1.2326	LR: 0.100000
Training Epoch: 8 [1024/46200]	Loss: 1.4160	LR: 0.100000
Training Epoch: 8 [1280/46200]	Loss: 1.2977	LR: 0.100000
Training Epoch: 8 [1536/46200]	Loss: 1.1846	LR: 0.100000
Training Epoch: 8 [1792/46200]	Loss: 1.2669	LR: 0.100000
Training Epoch: 8 [2048/46200]	Loss: 1.2926	LR: 0.100000
Training Epoch: 8 [2304/46200]	Loss: 1.2452	LR: 0.100000
Training Epoch: 8 [2560/46200]	Loss: 1.3639	LR: 0.100000
Training Epoch: 8 [2816/46200]	Loss: 1.2080	LR: 0.100000
Training Epoch: 8 [3072/46200]	Loss: 1.3106	LR: 0.100000
Training Epoch: 8 [3328/46200]	Loss: 1.4057	LR: 0.100000
Training Epoch: 8 [3584/46200]	Loss: 1.2161	LR: 0.100000
Training Epoch: 8 [3840/46200]	Loss: 1.3432	LR: 0.100000
Training Epoch: 8 [4096/46200]	Loss: 1.2742	LR: 0.100000
Training Epoch: 8 [4352/46200]	Loss: 1.3208	LR: 0.100000
Training Epoch: 8 [4608/46200]	Loss: 1.2183	LR: 0.100000
Training Epoch: 8 [4864/46200]	Loss: 1.3062	LR: 0.100000
Training Epoch: 8 [5120/46200]	Loss: 1.2688	LR: 0.100000
Training Epoch: 8 [5376/46200]	Loss: 1.2383	LR: 0.100000
Training Epoch: 8 [5632/46200]	Loss: 1.3708	LR: 0.100000
Training Epoch: 8 [5888/46200]	Loss: 1.2508	LR: 0.100000
Training Epoch: 8 [6144/46200]	Loss: 1.1939	LR: 0.100000
Training Epoch: 8 [6400/46200]	Loss: 1.2736	LR: 0.100000
Training Epoch: 8 [6656/46200]	Loss: 1.3145	LR: 0.100000
Training Epoch: 8 [6912/46200]	Loss: 1.2301	LR: 0.100000
Training Epoch: 8 [7168/46200]	Loss: 1.1029	LR: 0.100000
Training Epoch: 8 [7424/46200]	Loss: 1.2664	LR: 0.100000
Training Epoch: 8 [7680/46200]	Loss: 1.4166	LR: 0.100000
Training Epoch: 8 [7936/46200]	Loss: 1.1526	LR: 0.100000
Training Epoch: 8 [8192/46200]	Loss: 1.2901	LR: 0.100000
Training Epoch: 8 [8448/46200]	Loss: 1.3743	LR: 0.100000
Training Epoch: 8 [8704/46200]	Loss: 1.2417	LR: 0.100000
Training Epoch: 8 [8960/46200]	Loss: 1.3313	LR: 0.100000
Training Epoch: 8 [9216/46200]	Loss: 1.1533	LR: 0.100000
Training Epoch: 8 [9472/46200]	Loss: 1.4042	LR: 0.100000
Training Epoch: 8 [9728/46200]	Loss: 1.1914	LR: 0.100000
Training Epoch: 8 [9984/46200]	Loss: 1.1947	LR: 0.100000
Training Epoch: 8 [10240/46200]	Loss: 1.3109	LR: 0.100000
Training Epoch: 8 [10496/46200]	Loss: 1.2693	LR: 0.100000
Training Epoch: 8 [10752/46200]	Loss: 1.2252	LR: 0.100000
Training Epoch: 8 [11008/46200]	Loss: 1.3478	LR: 0.100000
Training Epoch: 8 [11264/46200]	Loss: 1.4319	LR: 0.100000
Training Epoch: 8 [11520/46200]	Loss: 1.3022	LR: 0.100000
Training Epoch: 8 [11776/46200]	Loss: 1.2146	LR: 0.100000
Training Epoch: 8 [12032/46200]	Loss: 1.2308	LR: 0.100000
Training Epoch: 8 [12288/46200]	Loss: 1.1979	LR: 0.100000
Training Epoch: 8 [12544/46200]	Loss: 1.1800	LR: 0.100000
Training Epoch: 8 [12800/46200]	Loss: 1.3038	LR: 0.100000
Training Epoch: 8 [13056/46200]	Loss: 1.2346	LR: 0.100000
Training Epoch: 8 [13312/46200]	Loss: 1.2128	LR: 0.100000
Training Epoch: 8 [13568/46200]	Loss: 1.4353	LR: 0.100000
Training Epoch: 8 [13824/46200]	Loss: 1.2398	LR: 0.100000
Training Epoch: 8 [14080/46200]	Loss: 1.2566	LR: 0.100000
Training Epoch: 8 [14336/46200]	Loss: 1.2973	LR: 0.100000
Training Epoch: 8 [14592/46200]	Loss: 1.2515	LR: 0.100000
Training Epoch: 8 [14848/46200]	Loss: 1.4854	LR: 0.100000
Training Epoch: 8 [15104/46200]	Loss: 1.2587	LR: 0.100000
Training Epoch: 8 [15360/46200]	Loss: 1.2538	LR: 0.100000
Training Epoch: 8 [15616/46200]	Loss: 1.4537	LR: 0.100000
Training Epoch: 8 [15872/46200]	Loss: 1.3750	LR: 0.100000
Training Epoch: 8 [16128/46200]	Loss: 1.2292	LR: 0.100000
Training Epoch: 8 [16384/46200]	Loss: 1.2732	LR: 0.100000
Training Epoch: 8 [16640/46200]	Loss: 1.2725	LR: 0.100000
Training Epoch: 8 [16896/46200]	Loss: 1.2167	LR: 0.100000
Training Epoch: 8 [17152/46200]	Loss: 1.2693	LR: 0.100000
Training Epoch: 8 [17408/46200]	Loss: 1.2605	LR: 0.100000
Training Epoch: 8 [17664/46200]	Loss: 1.3365	LR: 0.100000
Training Epoch: 8 [17920/46200]	Loss: 1.3979	LR: 0.100000
Training Epoch: 8 [18176/46200]	Loss: 1.3624	LR: 0.100000
Training Epoch: 8 [18432/46200]	Loss: 1.3197	LR: 0.100000
Training Epoch: 8 [18688/46200]	Loss: 1.2041	LR: 0.100000
Training Epoch: 8 [18944/46200]	Loss: 1.2244	LR: 0.100000
Training Epoch: 8 [19200/46200]	Loss: 1.4422	LR: 0.100000
Training Epoch: 8 [19456/46200]	Loss: 1.3026	LR: 0.100000
Training Epoch: 8 [19712/46200]	Loss: 1.2873	LR: 0.100000
Training Epoch: 8 [19968/46200]	Loss: 1.2238	LR: 0.100000
Training Epoch: 8 [20224/46200]	Loss: 1.3612	LR: 0.100000
Training Epoch: 8 [20480/46200]	Loss: 1.4008	LR: 0.100000
Training Epoch: 8 [20736/46200]	Loss: 1.3049	LR: 0.100000
Training Epoch: 8 [20992/46200]	Loss: 1.2307	LR: 0.100000
Training Epoch: 8 [21248/46200]	Loss: 1.2434	LR: 0.100000
Training Epoch: 8 [21504/46200]	Loss: 1.3649	LR: 0.100000
Training Epoch: 8 [21760/46200]	Loss: 1.1861	LR: 0.100000
Training Epoch: 8 [22016/46200]	Loss: 1.2305	LR: 0.100000
Training Epoch: 8 [22272/46200]	Loss: 1.2764	LR: 0.100000
Training Epoch: 8 [22528/46200]	Loss: 1.3489	LR: 0.100000
Training Epoch: 8 [22784/46200]	Loss: 1.3067	LR: 0.100000
Training Epoch: 8 [23040/46200]	Loss: 1.1667	LR: 0.100000
Training Epoch: 8 [23296/46200]	Loss: 1.2999	LR: 0.100000
Training Epoch: 8 [23552/46200]	Loss: 1.2466	LR: 0.100000
Training Epoch: 8 [23808/46200]	Loss: 1.1921	LR: 0.100000
Training Epoch: 8 [24064/46200]	Loss: 1.3192	LR: 0.100000
Training Epoch: 8 [24320/46200]	Loss: 1.3856	LR: 0.100000
Training Epoch: 8 [24576/46200]	Loss: 1.2305	LR: 0.100000
Training Epoch: 8 [24832/46200]	Loss: 1.3745	LR: 0.100000
Training Epoch: 8 [25088/46200]	Loss: 1.2471	LR: 0.100000
Training Epoch: 8 [25344/46200]	Loss: 1.3363	LR: 0.100000
Training Epoch: 8 [25600/46200]	Loss: 1.3070	LR: 0.100000
Training Epoch: 8 [25856/46200]	Loss: 1.3146	LR: 0.100000
Training Epoch: 8 [26112/46200]	Loss: 1.3931	LR: 0.100000
Training Epoch: 8 [26368/46200]	Loss: 1.3647	LR: 0.100000
Training Epoch: 8 [26624/46200]	Loss: 1.4066	LR: 0.100000
Training Epoch: 8 [26880/46200]	Loss: 1.3988	LR: 0.100000
Training Epoch: 8 [27136/46200]	Loss: 1.4189	LR: 0.100000
Training Epoch: 8 [27392/46200]	Loss: 1.2547	LR: 0.100000
Training Epoch: 8 [27648/46200]	Loss: 1.2955	LR: 0.100000
Training Epoch: 8 [27904/46200]	Loss: 1.3685	LR: 0.100000
Training Epoch: 8 [28160/46200]	Loss: 1.2496	LR: 0.100000
Training Epoch: 8 [28416/46200]	Loss: 1.3972	LR: 0.100000
Training Epoch: 8 [28672/46200]	Loss: 1.2107	LR: 0.100000
Training Epoch: 8 [28928/46200]	Loss: 1.2894	LR: 0.100000
Training Epoch: 8 [29184/46200]	Loss: 1.3384	LR: 0.100000
Training Epoch: 8 [29440/46200]	Loss: 1.2274	LR: 0.100000
Training Epoch: 8 [29696/46200]	Loss: 1.4185	LR: 0.100000
Training Epoch: 8 [29952/46200]	Loss: 1.2699	LR: 0.100000
Training Epoch: 8 [30208/46200]	Loss: 1.2446	LR: 0.100000
Training Epoch: 8 [30464/46200]	Loss: 1.3161	LR: 0.100000
Training Epoch: 8 [30720/46200]	Loss: 1.2152	LR: 0.100000
Training Epoch: 8 [30976/46200]	Loss: 1.2294	LR: 0.100000
Training Epoch: 8 [31232/46200]	Loss: 1.2574	LR: 0.100000
Training Epoch: 8 [31488/46200]	Loss: 1.2201	LR: 0.100000
Training Epoch: 8 [31744/46200]	Loss: 1.3492	LR: 0.100000
Training Epoch: 8 [32000/46200]	Loss: 1.2311	LR: 0.100000
Training Epoch: 8 [32256/46200]	Loss: 1.3795	LR: 0.100000
Training Epoch: 8 [32512/46200]	Loss: 1.4140	LR: 0.100000
Training Epoch: 8 [32768/46200]	Loss: 1.3821	LR: 0.100000
Training Epoch: 8 [33024/46200]	Loss: 1.2291	LR: 0.100000
Training Epoch: 8 [33280/46200]	Loss: 1.2785	LR: 0.100000
Training Epoch: 8 [33536/46200]	Loss: 1.3735	LR: 0.100000
Training Epoch: 8 [33792/46200]	Loss: 1.1503	LR: 0.100000
Training Epoch: 8 [34048/46200]	Loss: 1.3076	LR: 0.100000
Training Epoch: 8 [34304/46200]	Loss: 1.3513	LR: 0.100000
Training Epoch: 8 [34560/46200]	Loss: 1.1991	LR: 0.100000
Training Epoch: 8 [34816/46200]	Loss: 1.2592	LR: 0.100000
Training Epoch: 8 [35072/46200]	Loss: 1.2894	LR: 0.100000
Training Epoch: 8 [35328/46200]	Loss: 1.2695	LR: 0.100000
Training Epoch: 8 [35584/46200]	Loss: 1.3038	LR: 0.100000
Training Epoch: 8 [35840/46200]	Loss: 1.3045	LR: 0.100000
Training Epoch: 8 [36096/46200]	Loss: 1.2910	LR: 0.100000
Training Epoch: 8 [36352/46200]	Loss: 1.1940	LR: 0.100000
Training Epoch: 8 [36608/46200]	Loss: 1.2007	LR: 0.100000
Training Epoch: 8 [36864/46200]	Loss: 1.2064	LR: 0.100000
Training Epoch: 8 [37120/46200]	Loss: 1.2390	LR: 0.100000
Training Epoch: 8 [37376/46200]	Loss: 1.2880	LR: 0.100000
Training Epoch: 8 [37632/46200]	Loss: 1.3611	LR: 0.100000
Training Epoch: 8 [37888/46200]	Loss: 1.2764	LR: 0.100000
Training Epoch: 8 [38144/46200]	Loss: 1.2204	LR: 0.100000
Training Epoch: 8 [38400/46200]	Loss: 1.3227	LR: 0.100000
Training Epoch: 8 [38656/46200]	Loss: 1.2262	LR: 0.100000
Training Epoch: 8 [38912/46200]	Loss: 1.1545	LR: 0.100000
Training Epoch: 8 [39168/46200]	Loss: 1.2066	LR: 0.100000
Training Epoch: 8 [39424/46200]	Loss: 1.1258	LR: 0.100000
Training Epoch: 8 [39680/46200]	Loss: 1.4086	LR: 0.100000
Training Epoch: 8 [39936/46200]	Loss: 1.2321	LR: 0.100000
Training Epoch: 8 [40192/46200]	Loss: 1.2695	LR: 0.100000
Training Epoch: 8 [40448/46200]	Loss: 1.2791	LR: 0.100000
Training Epoch: 8 [40704/46200]	Loss: 1.3007	LR: 0.100000
Training Epoch: 8 [40960/46200]	Loss: 1.3086	LR: 0.100000
Training Epoch: 8 [41216/46200]	Loss: 1.1410	LR: 0.100000
Training Epoch: 8 [41472/46200]	Loss: 1.2010	LR: 0.100000
Training Epoch: 8 [41728/46200]	Loss: 1.2234	LR: 0.100000
Training Epoch: 8 [41984/46200]	Loss: 1.2578	LR: 0.100000
Training Epoch: 8 [42240/46200]	Loss: 1.3673	LR: 0.100000
Training Epoch: 8 [42496/46200]	Loss: 1.2253	LR: 0.100000
Training Epoch: 8 [42752/46200]	Loss: 1.2998	LR: 0.100000
Training Epoch: 8 [43008/46200]	Loss: 1.1870	LR: 0.100000
Training Epoch: 8 [43264/46200]	Loss: 1.1404	LR: 0.100000
Training Epoch: 8 [43520/46200]	Loss: 1.1298	LR: 0.100000
Training Epoch: 8 [43776/46200]	Loss: 1.2403	LR: 0.100000
Training Epoch: 8 [44032/46200]	Loss: 1.3509	LR: 0.100000
Training Epoch: 8 [44288/46200]	Loss: 1.2819	LR: 0.100000
Training Epoch: 8 [44544/46200]	Loss: 1.3183	LR: 0.100000
Training Epoch: 8 [44800/46200]	Loss: 1.2718	LR: 0.100000
Training Epoch: 8 [45056/46200]	Loss: 1.1966	LR: 0.100000
Training Epoch: 8 [45312/46200]	Loss: 1.0901	LR: 0.100000
Training Epoch: 8 [45568/46200]	Loss: 1.4039	LR: 0.100000
Training Epoch: 8 [45824/46200]	Loss: 1.2830	LR: 0.100000
Training Epoch: 8 [46080/46200]	Loss: 1.0867	LR: 0.100000
Training Epoch: 8 [46200/46200]	Loss: 1.2407	LR: 0.100000
Epoch 8 - Average Train Loss: 1.2804, Train Accuracy: 0.5913
Epoch 8 training time consumed: 25.13s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0064, Accuracy: 0.5428, Time consumed:0.91s
Training Epoch: 9 [256/46200]	Loss: 1.2837	LR: 0.100000
Training Epoch: 9 [512/46200]	Loss: 1.2197	LR: 0.100000
Training Epoch: 9 [768/46200]	Loss: 1.3111	LR: 0.100000
Training Epoch: 9 [1024/46200]	Loss: 1.3864	LR: 0.100000
Training Epoch: 9 [1280/46200]	Loss: 1.1094	LR: 0.100000
Training Epoch: 9 [1536/46200]	Loss: 1.0525	LR: 0.100000
Training Epoch: 9 [1792/46200]	Loss: 1.0959	LR: 0.100000
Training Epoch: 9 [2048/46200]	Loss: 1.2376	LR: 0.100000
Training Epoch: 9 [2304/46200]	Loss: 1.1669	LR: 0.100000
Training Epoch: 9 [2560/46200]	Loss: 1.2443	LR: 0.100000
Training Epoch: 9 [2816/46200]	Loss: 1.1077	LR: 0.100000
Training Epoch: 9 [3072/46200]	Loss: 1.0695	LR: 0.100000
Training Epoch: 9 [3328/46200]	Loss: 1.1654	LR: 0.100000
Training Epoch: 9 [3584/46200]	Loss: 1.1422	LR: 0.100000
Training Epoch: 9 [3840/46200]	Loss: 1.1831	LR: 0.100000
Training Epoch: 9 [4096/46200]	Loss: 1.3134	LR: 0.100000
Training Epoch: 9 [4352/46200]	Loss: 1.1659	LR: 0.100000
Training Epoch: 9 [4608/46200]	Loss: 1.2343	LR: 0.100000
Training Epoch: 9 [4864/46200]	Loss: 1.3528	LR: 0.100000
Training Epoch: 9 [5120/46200]	Loss: 1.2297	LR: 0.100000
Training Epoch: 9 [5376/46200]	Loss: 1.2026	LR: 0.100000
Training Epoch: 9 [5632/46200]	Loss: 1.2999	LR: 0.100000
Training Epoch: 9 [5888/46200]	Loss: 1.1996	LR: 0.100000
Training Epoch: 9 [6144/46200]	Loss: 1.1002	LR: 0.100000
Training Epoch: 9 [6400/46200]	Loss: 1.2451	LR: 0.100000
Training Epoch: 9 [6656/46200]	Loss: 1.1653	LR: 0.100000
Training Epoch: 9 [6912/46200]	Loss: 1.1305	LR: 0.100000
Training Epoch: 9 [7168/46200]	Loss: 1.2627	LR: 0.100000
Training Epoch: 9 [7424/46200]	Loss: 1.0125	LR: 0.100000
Training Epoch: 9 [7680/46200]	Loss: 1.2623	LR: 0.100000
Training Epoch: 9 [7936/46200]	Loss: 1.0905	LR: 0.100000
Training Epoch: 9 [8192/46200]	Loss: 1.2755	LR: 0.100000
Training Epoch: 9 [8448/46200]	Loss: 1.3391	LR: 0.100000
Training Epoch: 9 [8704/46200]	Loss: 1.3104	LR: 0.100000
Training Epoch: 9 [8960/46200]	Loss: 1.2718	LR: 0.100000
Training Epoch: 9 [9216/46200]	Loss: 1.1696	LR: 0.100000
Training Epoch: 9 [9472/46200]	Loss: 1.3349	LR: 0.100000
Training Epoch: 9 [9728/46200]	Loss: 1.2112	LR: 0.100000
Training Epoch: 9 [9984/46200]	Loss: 1.2710	LR: 0.100000
Training Epoch: 9 [10240/46200]	Loss: 1.1959	LR: 0.100000
Training Epoch: 9 [10496/46200]	Loss: 1.0328	LR: 0.100000
Training Epoch: 9 [10752/46200]	Loss: 1.1746	LR: 0.100000
Training Epoch: 9 [11008/46200]	Loss: 1.2365	LR: 0.100000
Training Epoch: 9 [11264/46200]	Loss: 1.2935	LR: 0.100000
Training Epoch: 9 [11520/46200]	Loss: 1.3189	LR: 0.100000
Training Epoch: 9 [11776/46200]	Loss: 1.2339	LR: 0.100000
Training Epoch: 9 [12032/46200]	Loss: 1.3095	LR: 0.100000
Training Epoch: 9 [12288/46200]	Loss: 1.0771	LR: 0.100000
Training Epoch: 9 [12544/46200]	Loss: 1.3966	LR: 0.100000
Training Epoch: 9 [12800/46200]	Loss: 1.1263	LR: 0.100000
Training Epoch: 9 [13056/46200]	Loss: 1.1736	LR: 0.100000
Training Epoch: 9 [13312/46200]	Loss: 1.0854	LR: 0.100000
Training Epoch: 9 [13568/46200]	Loss: 1.2740	LR: 0.100000
Training Epoch: 9 [13824/46200]	Loss: 1.2431	LR: 0.100000
Training Epoch: 9 [14080/46200]	Loss: 1.3083	LR: 0.100000
Training Epoch: 9 [14336/46200]	Loss: 1.2819	LR: 0.100000
Training Epoch: 9 [14592/46200]	Loss: 1.2163	LR: 0.100000
Training Epoch: 9 [14848/46200]	Loss: 1.2311	LR: 0.100000
Training Epoch: 9 [15104/46200]	Loss: 1.1531	LR: 0.100000
Training Epoch: 9 [15360/46200]	Loss: 1.1008	LR: 0.100000
Training Epoch: 9 [15616/46200]	Loss: 1.0918	LR: 0.100000
Training Epoch: 9 [15872/46200]	Loss: 1.1409	LR: 0.100000
Training Epoch: 9 [16128/46200]	Loss: 1.1239	LR: 0.100000
Training Epoch: 9 [16384/46200]	Loss: 1.2414	LR: 0.100000
Training Epoch: 9 [16640/46200]	Loss: 1.2636	LR: 0.100000
Training Epoch: 9 [16896/46200]	Loss: 1.3974	LR: 0.100000
Training Epoch: 9 [17152/46200]	Loss: 1.2961	LR: 0.100000
Training Epoch: 9 [17408/46200]	Loss: 1.2555	LR: 0.100000
Training Epoch: 9 [17664/46200]	Loss: 1.2588	LR: 0.100000
Training Epoch: 9 [17920/46200]	Loss: 1.2672	LR: 0.100000
Training Epoch: 9 [18176/46200]	Loss: 1.3103	LR: 0.100000
Training Epoch: 9 [18432/46200]	Loss: 1.2919	LR: 0.100000
Training Epoch: 9 [18688/46200]	Loss: 1.1696	LR: 0.100000
Training Epoch: 9 [18944/46200]	Loss: 1.2232	LR: 0.100000
Training Epoch: 9 [19200/46200]	Loss: 1.1934	LR: 0.100000
Training Epoch: 9 [19456/46200]	Loss: 1.2410	LR: 0.100000
Training Epoch: 9 [19712/46200]	Loss: 1.2092	LR: 0.100000
Training Epoch: 9 [19968/46200]	Loss: 1.2638	LR: 0.100000
Training Epoch: 9 [20224/46200]	Loss: 1.2598	LR: 0.100000
Training Epoch: 9 [20480/46200]	Loss: 1.2331	LR: 0.100000
Training Epoch: 9 [20736/46200]	Loss: 1.2299	LR: 0.100000
Training Epoch: 9 [20992/46200]	Loss: 1.1984	LR: 0.100000
Training Epoch: 9 [21248/46200]	Loss: 1.2290	LR: 0.100000
Training Epoch: 9 [21504/46200]	Loss: 1.1675	LR: 0.100000
Training Epoch: 9 [21760/46200]	Loss: 1.2122	LR: 0.100000
Training Epoch: 9 [22016/46200]	Loss: 1.2108	LR: 0.100000
Training Epoch: 9 [22272/46200]	Loss: 1.3221	LR: 0.100000
Training Epoch: 9 [22528/46200]	Loss: 1.1333	LR: 0.100000
Training Epoch: 9 [22784/46200]	Loss: 1.2000	LR: 0.100000
Training Epoch: 9 [23040/46200]	Loss: 1.2428	LR: 0.100000
Training Epoch: 9 [23296/46200]	Loss: 1.3428	LR: 0.100000
Training Epoch: 9 [23552/46200]	Loss: 1.1982	LR: 0.100000
Training Epoch: 9 [23808/46200]	Loss: 1.2958	LR: 0.100000
Training Epoch: 9 [24064/46200]	Loss: 1.2653	LR: 0.100000
Training Epoch: 9 [24320/46200]	Loss: 1.2279	LR: 0.100000
Training Epoch: 9 [24576/46200]	Loss: 1.1708	LR: 0.100000
Training Epoch: 9 [24832/46200]	Loss: 1.0778	LR: 0.100000
Training Epoch: 9 [25088/46200]	Loss: 1.1409	LR: 0.100000
Training Epoch: 9 [25344/46200]	Loss: 1.2879	LR: 0.100000
Training Epoch: 9 [25600/46200]	Loss: 1.1674	LR: 0.100000
Training Epoch: 9 [25856/46200]	Loss: 1.1761	LR: 0.100000
Training Epoch: 9 [26112/46200]	Loss: 1.2210	LR: 0.100000
Training Epoch: 9 [26368/46200]	Loss: 1.0959	LR: 0.100000
Training Epoch: 9 [26624/46200]	Loss: 1.2074	LR: 0.100000
Training Epoch: 9 [26880/46200]	Loss: 1.0862	LR: 0.100000
Training Epoch: 9 [27136/46200]	Loss: 1.1726	LR: 0.100000
Training Epoch: 9 [27392/46200]	Loss: 1.1368	LR: 0.100000
Training Epoch: 9 [27648/46200]	Loss: 1.1270	LR: 0.100000
Training Epoch: 9 [27904/46200]	Loss: 1.1697	LR: 0.100000
Training Epoch: 9 [28160/46200]	Loss: 1.3518	LR: 0.100000
Training Epoch: 9 [28416/46200]	Loss: 1.1244	LR: 0.100000
Training Epoch: 9 [28672/46200]	Loss: 1.2899	LR: 0.100000
Training Epoch: 9 [28928/46200]	Loss: 1.2604	LR: 0.100000
Training Epoch: 9 [29184/46200]	Loss: 1.1704	LR: 0.100000
Training Epoch: 9 [29440/46200]	Loss: 1.1364	LR: 0.100000
Training Epoch: 9 [29696/46200]	Loss: 1.1313	LR: 0.100000
Training Epoch: 9 [29952/46200]	Loss: 1.1876	LR: 0.100000
Training Epoch: 9 [30208/46200]	Loss: 1.1890	LR: 0.100000
Training Epoch: 9 [30464/46200]	Loss: 1.2628	LR: 0.100000
Training Epoch: 9 [30720/46200]	Loss: 1.1469	LR: 0.100000
Training Epoch: 9 [30976/46200]	Loss: 1.1323	LR: 0.100000
Training Epoch: 9 [31232/46200]	Loss: 1.2816	LR: 0.100000
Training Epoch: 9 [31488/46200]	Loss: 1.2015	LR: 0.100000
Training Epoch: 9 [31744/46200]	Loss: 1.1626	LR: 0.100000
Training Epoch: 9 [32000/46200]	Loss: 1.3087	LR: 0.100000
Training Epoch: 9 [32256/46200]	Loss: 1.1497	LR: 0.100000
Training Epoch: 9 [32512/46200]	Loss: 1.2751	LR: 0.100000
Training Epoch: 9 [32768/46200]	Loss: 1.3364	LR: 0.100000
Training Epoch: 9 [33024/46200]	Loss: 1.3673	LR: 0.100000
Training Epoch: 9 [33280/46200]	Loss: 1.0777	LR: 0.100000
Training Epoch: 9 [33536/46200]	Loss: 1.0680	LR: 0.100000
Training Epoch: 9 [33792/46200]	Loss: 1.2165	LR: 0.100000
Training Epoch: 9 [34048/46200]	Loss: 1.2363	LR: 0.100000
Training Epoch: 9 [34304/46200]	Loss: 1.0594	LR: 0.100000
Training Epoch: 9 [34560/46200]	Loss: 1.1423	LR: 0.100000
Training Epoch: 9 [34816/46200]	Loss: 1.1515	LR: 0.100000
Training Epoch: 9 [35072/46200]	Loss: 1.1351	LR: 0.100000
Training Epoch: 9 [35328/46200]	Loss: 1.1966	LR: 0.100000
Training Epoch: 9 [35584/46200]	Loss: 1.1906	LR: 0.100000
Training Epoch: 9 [35840/46200]	Loss: 1.1440	LR: 0.100000
Training Epoch: 9 [36096/46200]	Loss: 1.2240	LR: 0.100000
Training Epoch: 9 [36352/46200]	Loss: 1.2663	LR: 0.100000
Training Epoch: 9 [36608/46200]	Loss: 1.1509	LR: 0.100000
Training Epoch: 9 [36864/46200]	Loss: 1.3435	LR: 0.100000
Training Epoch: 9 [37120/46200]	Loss: 1.1594	LR: 0.100000
Training Epoch: 9 [37376/46200]	Loss: 1.1246	LR: 0.100000
Training Epoch: 9 [37632/46200]	Loss: 1.1605	LR: 0.100000
Training Epoch: 9 [37888/46200]	Loss: 1.3348	LR: 0.100000
Training Epoch: 9 [38144/46200]	Loss: 1.2207	LR: 0.100000
Training Epoch: 9 [38400/46200]	Loss: 1.0929	LR: 0.100000
Training Epoch: 9 [38656/46200]	Loss: 1.1680	LR: 0.100000
Training Epoch: 9 [38912/46200]	Loss: 1.3474	LR: 0.100000
Training Epoch: 9 [39168/46200]	Loss: 1.1631	LR: 0.100000
Training Epoch: 9 [39424/46200]	Loss: 1.1556	LR: 0.100000
Training Epoch: 9 [39680/46200]	Loss: 1.2506	LR: 0.100000
Training Epoch: 9 [39936/46200]	Loss: 1.2115	LR: 0.100000
Training Epoch: 9 [40192/46200]	Loss: 1.1010	LR: 0.100000
Training Epoch: 9 [40448/46200]	Loss: 1.2761	LR: 0.100000
Training Epoch: 9 [40704/46200]	Loss: 1.1574	LR: 0.100000
Training Epoch: 9 [40960/46200]	Loss: 1.1257	LR: 0.100000
Training Epoch: 9 [41216/46200]	Loss: 1.2882	LR: 0.100000
Training Epoch: 9 [41472/46200]	Loss: 1.0877	LR: 0.100000
Training Epoch: 9 [41728/46200]	Loss: 1.2495	LR: 0.100000
Training Epoch: 9 [41984/46200]	Loss: 1.1069	LR: 0.100000
Training Epoch: 9 [42240/46200]	Loss: 1.1971	LR: 0.100000
Training Epoch: 9 [42496/46200]	Loss: 1.2683	LR: 0.100000
Training Epoch: 9 [42752/46200]	Loss: 1.0651	LR: 0.100000
Training Epoch: 9 [43008/46200]	Loss: 1.1133	LR: 0.100000
Training Epoch: 9 [43264/46200]	Loss: 1.3330	LR: 0.100000
Training Epoch: 9 [43520/46200]	Loss: 1.0934	LR: 0.100000
Training Epoch: 9 [43776/46200]	Loss: 1.1482	LR: 0.100000
Training Epoch: 9 [44032/46200]	Loss: 1.3026	LR: 0.100000
Training Epoch: 9 [44288/46200]	Loss: 1.3001	LR: 0.100000
Training Epoch: 9 [44544/46200]	Loss: 1.2276	LR: 0.100000
Training Epoch: 9 [44800/46200]	Loss: 1.2161	LR: 0.100000
Training Epoch: 9 [45056/46200]	Loss: 1.1716	LR: 0.100000
Training Epoch: 9 [45312/46200]	Loss: 1.1500	LR: 0.100000
Training Epoch: 9 [45568/46200]	Loss: 1.1897	LR: 0.100000
Training Epoch: 9 [45824/46200]	Loss: 1.1536	LR: 0.100000
Training Epoch: 9 [46080/46200]	Loss: 1.1788	LR: 0.100000
Training Epoch: 9 [46200/46200]	Loss: 1.0623	LR: 0.100000
Epoch 9 - Average Train Loss: 1.2057, Train Accuracy: 0.6137
Epoch 9 training time consumed: 25.31s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0056, Accuracy: 0.5807, Time consumed:0.85s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_18h_30m_43s/AllCNN-Cifar20-seed8-ret25-9-best.pth
Training Epoch: 10 [256/46200]	Loss: 1.0547	LR: 0.100000
Training Epoch: 10 [512/46200]	Loss: 1.1716	LR: 0.100000
Training Epoch: 10 [768/46200]	Loss: 1.2115	LR: 0.100000
Training Epoch: 10 [1024/46200]	Loss: 1.0433	LR: 0.100000
Training Epoch: 10 [1280/46200]	Loss: 1.2391	LR: 0.100000
Training Epoch: 10 [1536/46200]	Loss: 1.1755	LR: 0.100000
Training Epoch: 10 [1792/46200]	Loss: 1.1953	LR: 0.100000
Training Epoch: 10 [2048/46200]	Loss: 1.0797	LR: 0.100000
Training Epoch: 10 [2304/46200]	Loss: 1.2263	LR: 0.100000
Training Epoch: 10 [2560/46200]	Loss: 1.0858	LR: 0.100000
Training Epoch: 10 [2816/46200]	Loss: 1.1068	LR: 0.100000
Training Epoch: 10 [3072/46200]	Loss: 1.1086	LR: 0.100000
Training Epoch: 10 [3328/46200]	Loss: 1.1186	LR: 0.100000
Training Epoch: 10 [3584/46200]	Loss: 1.1425	LR: 0.100000
Training Epoch: 10 [3840/46200]	Loss: 1.0633	LR: 0.100000
Training Epoch: 10 [4096/46200]	Loss: 1.2304	LR: 0.100000
Training Epoch: 10 [4352/46200]	Loss: 1.1703	LR: 0.100000
Training Epoch: 10 [4608/46200]	Loss: 1.0690	LR: 0.100000
Training Epoch: 10 [4864/46200]	Loss: 1.1542	LR: 0.100000
Training Epoch: 10 [5120/46200]	Loss: 1.0803	LR: 0.100000
Training Epoch: 10 [5376/46200]	Loss: 1.1638	LR: 0.100000
Training Epoch: 10 [5632/46200]	Loss: 1.3375	LR: 0.100000
Training Epoch: 10 [5888/46200]	Loss: 1.2105	LR: 0.100000
Training Epoch: 10 [6144/46200]	Loss: 1.1461	LR: 0.100000
Training Epoch: 10 [6400/46200]	Loss: 1.0396	LR: 0.100000
Training Epoch: 10 [6656/46200]	Loss: 1.1259	LR: 0.100000
Training Epoch: 10 [6912/46200]	Loss: 1.1158	LR: 0.100000
Training Epoch: 10 [7168/46200]	Loss: 1.0593	LR: 0.100000
Training Epoch: 10 [7424/46200]	Loss: 1.1619	LR: 0.100000
Training Epoch: 10 [7680/46200]	Loss: 1.0820	LR: 0.100000
Training Epoch: 10 [7936/46200]	Loss: 1.1772	LR: 0.100000
Training Epoch: 10 [8192/46200]	Loss: 1.0800	LR: 0.100000
Training Epoch: 10 [8448/46200]	Loss: 1.1306	LR: 0.100000
Training Epoch: 10 [8704/46200]	Loss: 1.1196	LR: 0.100000
Training Epoch: 10 [8960/46200]	Loss: 1.1026	LR: 0.100000
Training Epoch: 10 [9216/46200]	Loss: 1.1786	LR: 0.100000
Training Epoch: 10 [9472/46200]	Loss: 1.1976	LR: 0.100000
Training Epoch: 10 [9728/46200]	Loss: 1.1221	LR: 0.100000
Training Epoch: 10 [9984/46200]	Loss: 1.1941	LR: 0.100000
Training Epoch: 10 [10240/46200]	Loss: 1.1253	LR: 0.100000
Training Epoch: 10 [10496/46200]	Loss: 1.0805	LR: 0.100000
Training Epoch: 10 [10752/46200]	Loss: 1.2216	LR: 0.100000
Training Epoch: 10 [11008/46200]	Loss: 1.3514	LR: 0.100000
Training Epoch: 10 [11264/46200]	Loss: 1.1627	LR: 0.100000
Training Epoch: 10 [11520/46200]	Loss: 1.1864	LR: 0.100000
Training Epoch: 10 [11776/46200]	Loss: 1.1144	LR: 0.100000
Training Epoch: 10 [12032/46200]	Loss: 1.2390	LR: 0.100000
Training Epoch: 10 [12288/46200]	Loss: 1.2062	LR: 0.100000
Training Epoch: 10 [12544/46200]	Loss: 1.1342	LR: 0.100000
Training Epoch: 10 [12800/46200]	Loss: 1.0249	LR: 0.100000
Training Epoch: 10 [13056/46200]	Loss: 1.0577	LR: 0.100000
Training Epoch: 10 [13312/46200]	Loss: 1.1950	LR: 0.100000
Training Epoch: 10 [13568/46200]	Loss: 1.2010	LR: 0.100000
Training Epoch: 10 [13824/46200]	Loss: 1.1848	LR: 0.100000
Training Epoch: 10 [14080/46200]	Loss: 1.1953	LR: 0.100000
Training Epoch: 10 [14336/46200]	Loss: 1.1217	LR: 0.100000
Training Epoch: 10 [14592/46200]	Loss: 0.9766	LR: 0.100000
Training Epoch: 10 [14848/46200]	Loss: 1.1788	LR: 0.100000
Training Epoch: 10 [15104/46200]	Loss: 1.1448	LR: 0.100000
Training Epoch: 10 [15360/46200]	Loss: 1.1790	LR: 0.100000
Training Epoch: 10 [15616/46200]	Loss: 1.1929	LR: 0.100000
Training Epoch: 10 [15872/46200]	Loss: 1.2303	LR: 0.100000
Training Epoch: 10 [16128/46200]	Loss: 1.1052	LR: 0.100000
Training Epoch: 10 [16384/46200]	Loss: 0.9394	LR: 0.100000
Training Epoch: 10 [16640/46200]	Loss: 1.2334	LR: 0.100000
Training Epoch: 10 [16896/46200]	Loss: 1.1883	LR: 0.100000
Training Epoch: 10 [17152/46200]	Loss: 1.0968	LR: 0.100000
Training Epoch: 10 [17408/46200]	Loss: 1.1018	LR: 0.100000
Training Epoch: 10 [17664/46200]	Loss: 1.2175	LR: 0.100000
Training Epoch: 10 [17920/46200]	Loss: 1.3177	LR: 0.100000
Training Epoch: 10 [18176/46200]	Loss: 1.1617	LR: 0.100000
Training Epoch: 10 [18432/46200]	Loss: 1.3258	LR: 0.100000
Training Epoch: 10 [18688/46200]	Loss: 1.1870	LR: 0.100000
Training Epoch: 10 [18944/46200]	Loss: 1.1834	LR: 0.100000
Training Epoch: 10 [19200/46200]	Loss: 1.1781	LR: 0.100000
Training Epoch: 10 [19456/46200]	Loss: 1.1744	LR: 0.100000
Training Epoch: 10 [19712/46200]	Loss: 1.1999	LR: 0.100000
Training Epoch: 10 [19968/46200]	Loss: 1.1152	LR: 0.100000
Training Epoch: 10 [20224/46200]	Loss: 1.2367	LR: 0.100000
Training Epoch: 10 [20480/46200]	Loss: 1.1998	LR: 0.100000
Training Epoch: 10 [20736/46200]	Loss: 1.0203	LR: 0.100000
Training Epoch: 10 [20992/46200]	Loss: 1.2267	LR: 0.100000
Training Epoch: 10 [21248/46200]	Loss: 1.0105	LR: 0.100000
Training Epoch: 10 [21504/46200]	Loss: 1.0939	LR: 0.100000
Training Epoch: 10 [21760/46200]	Loss: 1.1258	LR: 0.100000
Training Epoch: 10 [22016/46200]	Loss: 1.2442	LR: 0.100000
Training Epoch: 10 [22272/46200]	Loss: 1.1646	LR: 0.100000
Training Epoch: 10 [22528/46200]	Loss: 1.0530	LR: 0.100000
Training Epoch: 10 [22784/46200]	Loss: 1.1543	LR: 0.100000
Training Epoch: 10 [23040/46200]	Loss: 1.2512	LR: 0.100000
Training Epoch: 10 [23296/46200]	Loss: 1.2219	LR: 0.100000
Training Epoch: 10 [23552/46200]	Loss: 1.0884	LR: 0.100000
Training Epoch: 10 [23808/46200]	Loss: 1.0538	LR: 0.100000
Training Epoch: 10 [24064/46200]	Loss: 1.2596	LR: 0.100000
Training Epoch: 10 [24320/46200]	Loss: 1.2169	LR: 0.100000
Training Epoch: 10 [24576/46200]	Loss: 1.1338	LR: 0.100000
Training Epoch: 10 [24832/46200]	Loss: 1.1085	LR: 0.100000
Training Epoch: 10 [25088/46200]	Loss: 1.2039	LR: 0.100000
Training Epoch: 10 [25344/46200]	Loss: 1.1691	LR: 0.100000
Training Epoch: 10 [25600/46200]	Loss: 1.2667	LR: 0.100000
Training Epoch: 10 [25856/46200]	Loss: 1.2307	LR: 0.100000
Training Epoch: 10 [26112/46200]	Loss: 1.1756	LR: 0.100000
Training Epoch: 10 [26368/46200]	Loss: 1.0050	LR: 0.100000
Training Epoch: 10 [26624/46200]	Loss: 1.3593	LR: 0.100000
Training Epoch: 10 [26880/46200]	Loss: 1.2815	LR: 0.100000
Training Epoch: 10 [27136/46200]	Loss: 1.1235	LR: 0.100000
Training Epoch: 10 [27392/46200]	Loss: 1.1929	LR: 0.100000
Training Epoch: 10 [27648/46200]	Loss: 1.1310	LR: 0.100000
Training Epoch: 10 [27904/46200]	Loss: 1.1938	LR: 0.100000
Training Epoch: 10 [28160/46200]	Loss: 1.2770	LR: 0.100000
Training Epoch: 10 [28416/46200]	Loss: 1.2781	LR: 0.100000
Training Epoch: 10 [28672/46200]	Loss: 1.1743	LR: 0.100000
Training Epoch: 10 [28928/46200]	Loss: 1.1494	LR: 0.100000
Training Epoch: 10 [29184/46200]	Loss: 1.2808	LR: 0.100000
Training Epoch: 10 [29440/46200]	Loss: 1.2078	LR: 0.100000
Training Epoch: 10 [29696/46200]	Loss: 1.1412	LR: 0.100000
Training Epoch: 10 [29952/46200]	Loss: 1.0897	LR: 0.100000
Training Epoch: 10 [30208/46200]	Loss: 1.2263	LR: 0.100000
Training Epoch: 10 [30464/46200]	Loss: 1.2023	LR: 0.100000
Training Epoch: 10 [30720/46200]	Loss: 1.2304	LR: 0.100000
Training Epoch: 10 [30976/46200]	Loss: 1.1020	LR: 0.100000
Training Epoch: 10 [31232/46200]	Loss: 1.1707	LR: 0.100000
Training Epoch: 10 [31488/46200]	Loss: 1.1942	LR: 0.100000
Training Epoch: 10 [31744/46200]	Loss: 1.0392	LR: 0.100000
Training Epoch: 10 [32000/46200]	Loss: 1.0932	LR: 0.100000
Training Epoch: 10 [32256/46200]	Loss: 1.0812	LR: 0.100000
Training Epoch: 10 [32512/46200]	Loss: 0.9403	LR: 0.100000
Training Epoch: 10 [32768/46200]	Loss: 1.0792	LR: 0.100000
Training Epoch: 10 [33024/46200]	Loss: 1.2107	LR: 0.100000
Training Epoch: 10 [33280/46200]	Loss: 1.2360	LR: 0.100000
Training Epoch: 10 [33536/46200]	Loss: 1.0630	LR: 0.100000
Training Epoch: 10 [33792/46200]	Loss: 1.1425	LR: 0.100000
Training Epoch: 10 [34048/46200]	Loss: 1.2082	LR: 0.100000
Training Epoch: 10 [34304/46200]	Loss: 1.2344	LR: 0.100000
Training Epoch: 10 [34560/46200]	Loss: 1.1032	LR: 0.100000
Training Epoch: 10 [34816/46200]	Loss: 1.0739	LR: 0.100000
Training Epoch: 10 [35072/46200]	Loss: 1.1998	LR: 0.100000
Training Epoch: 10 [35328/46200]	Loss: 1.1333	LR: 0.100000
Training Epoch: 10 [35584/46200]	Loss: 1.1295	LR: 0.100000
Training Epoch: 10 [35840/46200]	Loss: 1.2442	LR: 0.100000
Training Epoch: 10 [36096/46200]	Loss: 1.0560	LR: 0.100000
Training Epoch: 10 [36352/46200]	Loss: 1.1629	LR: 0.100000
Training Epoch: 10 [36608/46200]	Loss: 1.2400	LR: 0.100000
Training Epoch: 10 [36864/46200]	Loss: 1.0895	LR: 0.100000
Training Epoch: 10 [37120/46200]	Loss: 1.1247	LR: 0.100000
Training Epoch: 10 [37376/46200]	Loss: 1.1835	LR: 0.100000
Training Epoch: 10 [37632/46200]	Loss: 1.1925	LR: 0.100000
Training Epoch: 10 [37888/46200]	Loss: 1.1280	LR: 0.100000
Training Epoch: 10 [38144/46200]	Loss: 1.0150	LR: 0.100000
Training Epoch: 10 [38400/46200]	Loss: 1.0900	LR: 0.100000
Training Epoch: 10 [38656/46200]	Loss: 1.0741	LR: 0.100000
Training Epoch: 10 [38912/46200]	Loss: 1.2750	LR: 0.100000
Training Epoch: 10 [39168/46200]	Loss: 1.1734	LR: 0.100000
Training Epoch: 10 [39424/46200]	Loss: 1.1375	LR: 0.100000
Training Epoch: 10 [39680/46200]	Loss: 1.0864	LR: 0.100000
Training Epoch: 10 [39936/46200]	Loss: 1.1578	LR: 0.100000
Training Epoch: 10 [40192/46200]	Loss: 1.0813	LR: 0.100000
Training Epoch: 10 [40448/46200]	Loss: 1.1561	LR: 0.100000
Training Epoch: 10 [40704/46200]	Loss: 1.2855	LR: 0.100000
Training Epoch: 10 [40960/46200]	Loss: 1.0779	LR: 0.100000
Training Epoch: 10 [41216/46200]	Loss: 1.1302	LR: 0.100000
Training Epoch: 10 [41472/46200]	Loss: 1.0342	LR: 0.100000
Training Epoch: 10 [41728/46200]	Loss: 1.1778	LR: 0.100000
Training Epoch: 10 [41984/46200]	Loss: 1.1195	LR: 0.100000
Training Epoch: 10 [42240/46200]	Loss: 1.2487	LR: 0.100000
Training Epoch: 10 [42496/46200]	Loss: 1.1750	LR: 0.100000
Training Epoch: 10 [42752/46200]	Loss: 1.1409	LR: 0.100000
Training Epoch: 10 [43008/46200]	Loss: 1.2144	LR: 0.100000
Training Epoch: 10 [43264/46200]	Loss: 1.2190	LR: 0.100000
Training Epoch: 10 [43520/46200]	Loss: 1.1035	LR: 0.100000
Training Epoch: 10 [43776/46200]	Loss: 1.1718	LR: 0.100000
Training Epoch: 10 [44032/46200]	Loss: 1.1584	LR: 0.100000
Training Epoch: 10 [44288/46200]	Loss: 1.1583	LR: 0.100000
Training Epoch: 10 [44544/46200]	Loss: 1.0641	LR: 0.100000
Training Epoch: 10 [44800/46200]	Loss: 1.2044	LR: 0.100000
Training Epoch: 10 [45056/46200]	Loss: 1.1204	LR: 0.100000
Training Epoch: 10 [45312/46200]	Loss: 1.2304	LR: 0.100000
Training Epoch: 10 [45568/46200]	Loss: 1.1511	LR: 0.100000
Training Epoch: 10 [45824/46200]	Loss: 1.1829	LR: 0.100000
Training Epoch: 10 [46080/46200]	Loss: 1.1564	LR: 0.100000
Training Epoch: 10 [46200/46200]	Loss: 1.2977	LR: 0.100000
Epoch 10 - Average Train Loss: 1.1558, Train Accuracy: 0.6294
Epoch 10 training time consumed: 25.15s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0058, Accuracy: 0.5651, Time consumed:0.85s
Training Epoch: 11 [256/46200]	Loss: 1.0846	LR: 0.100000
Training Epoch: 11 [512/46200]	Loss: 1.0625	LR: 0.100000
Training Epoch: 11 [768/46200]	Loss: 1.1091	LR: 0.100000
Training Epoch: 11 [1024/46200]	Loss: 1.1565	LR: 0.100000
Training Epoch: 11 [1280/46200]	Loss: 1.1300	LR: 0.100000
Training Epoch: 11 [1536/46200]	Loss: 1.0712	LR: 0.100000
Training Epoch: 11 [1792/46200]	Loss: 1.1903	LR: 0.100000
Training Epoch: 11 [2048/46200]	Loss: 1.1898	LR: 0.100000
Training Epoch: 11 [2304/46200]	Loss: 1.0561	LR: 0.100000
Training Epoch: 11 [2560/46200]	Loss: 1.1781	LR: 0.100000
Training Epoch: 11 [2816/46200]	Loss: 1.0564	LR: 0.100000
Training Epoch: 11 [3072/46200]	Loss: 1.0666	LR: 0.100000
Training Epoch: 11 [3328/46200]	Loss: 1.0799	LR: 0.100000
Training Epoch: 11 [3584/46200]	Loss: 0.9625	LR: 0.100000
Training Epoch: 11 [3840/46200]	Loss: 1.1677	LR: 0.100000
Training Epoch: 11 [4096/46200]	Loss: 1.0766	LR: 0.100000
Training Epoch: 11 [4352/46200]	Loss: 1.0961	LR: 0.100000
Training Epoch: 11 [4608/46200]	Loss: 1.1319	LR: 0.100000
Training Epoch: 11 [4864/46200]	Loss: 0.9448	LR: 0.100000
Training Epoch: 11 [5120/46200]	Loss: 1.0969	LR: 0.100000
Training Epoch: 11 [5376/46200]	Loss: 0.9723	LR: 0.100000
Training Epoch: 11 [5632/46200]	Loss: 1.1183	LR: 0.100000
Training Epoch: 11 [5888/46200]	Loss: 1.1157	LR: 0.100000
Training Epoch: 11 [6144/46200]	Loss: 1.0502	LR: 0.100000
Training Epoch: 11 [6400/46200]	Loss: 1.0492	LR: 0.100000
Training Epoch: 11 [6656/46200]	Loss: 0.9750	LR: 0.100000
Training Epoch: 11 [6912/46200]	Loss: 1.1162	LR: 0.100000
Training Epoch: 11 [7168/46200]	Loss: 1.0114	LR: 0.100000
Training Epoch: 11 [7424/46200]	Loss: 1.0447	LR: 0.100000
Training Epoch: 11 [7680/46200]	Loss: 1.2287	LR: 0.100000
Training Epoch: 11 [7936/46200]	Loss: 1.1031	LR: 0.100000
Training Epoch: 11 [8192/46200]	Loss: 1.1340	LR: 0.100000
Training Epoch: 11 [8448/46200]	Loss: 1.1267	LR: 0.100000
Training Epoch: 11 [8704/46200]	Loss: 0.9945	LR: 0.100000
Training Epoch: 11 [8960/46200]	Loss: 1.2401	LR: 0.100000
Training Epoch: 11 [9216/46200]	Loss: 1.1163	LR: 0.100000
Training Epoch: 11 [9472/46200]	Loss: 1.1064	LR: 0.100000
Training Epoch: 11 [9728/46200]	Loss: 1.0460	LR: 0.100000
Training Epoch: 11 [9984/46200]	Loss: 1.0930	LR: 0.100000
Training Epoch: 11 [10240/46200]	Loss: 1.2154	LR: 0.100000
Training Epoch: 11 [10496/46200]	Loss: 1.0678	LR: 0.100000
Training Epoch: 11 [10752/46200]	Loss: 1.0039	LR: 0.100000
Training Epoch: 11 [11008/46200]	Loss: 1.0290	LR: 0.100000
Training Epoch: 11 [11264/46200]	Loss: 0.9951	LR: 0.100000
Training Epoch: 11 [11520/46200]	Loss: 0.9782	LR: 0.100000
Training Epoch: 11 [11776/46200]	Loss: 1.0966	LR: 0.100000
Training Epoch: 11 [12032/46200]	Loss: 1.3176	LR: 0.100000
Training Epoch: 11 [12288/46200]	Loss: 1.0756	LR: 0.100000
Training Epoch: 11 [12544/46200]	Loss: 0.9009	LR: 0.100000
Training Epoch: 11 [12800/46200]	Loss: 1.0419	LR: 0.100000
Training Epoch: 11 [13056/46200]	Loss: 1.2061	LR: 0.100000
Training Epoch: 11 [13312/46200]	Loss: 1.1003	LR: 0.100000
Training Epoch: 11 [13568/46200]	Loss: 1.0065	LR: 0.100000
Training Epoch: 11 [13824/46200]	Loss: 1.1374	LR: 0.100000
Training Epoch: 11 [14080/46200]	Loss: 1.0373	LR: 0.100000
Training Epoch: 11 [14336/46200]	Loss: 1.0226	LR: 0.100000
Training Epoch: 11 [14592/46200]	Loss: 1.0595	LR: 0.100000
Training Epoch: 11 [14848/46200]	Loss: 1.2029	LR: 0.100000
Training Epoch: 11 [15104/46200]	Loss: 1.2460	LR: 0.100000
Training Epoch: 11 [15360/46200]	Loss: 1.2240	LR: 0.100000
Training Epoch: 11 [15616/46200]	Loss: 1.1212	LR: 0.100000
Training Epoch: 11 [15872/46200]	Loss: 1.1705	LR: 0.100000
Training Epoch: 11 [16128/46200]	Loss: 1.0210	LR: 0.100000
Training Epoch: 11 [16384/46200]	Loss: 1.1397	LR: 0.100000
Training Epoch: 11 [16640/46200]	Loss: 1.0891	LR: 0.100000
Training Epoch: 11 [16896/46200]	Loss: 1.2044	LR: 0.100000
Training Epoch: 11 [17152/46200]	Loss: 1.1399	LR: 0.100000
Training Epoch: 11 [17408/46200]	Loss: 1.1214	LR: 0.100000
Training Epoch: 11 [17664/46200]	Loss: 1.1249	LR: 0.100000
Training Epoch: 11 [17920/46200]	Loss: 1.2060	LR: 0.100000
Training Epoch: 11 [18176/46200]	Loss: 1.1352	LR: 0.100000
Training Epoch: 11 [18432/46200]	Loss: 1.0943	LR: 0.100000
Training Epoch: 11 [18688/46200]	Loss: 1.1779	LR: 0.100000
Training Epoch: 11 [18944/46200]	Loss: 1.1503	LR: 0.100000
Training Epoch: 11 [19200/46200]	Loss: 1.1081	LR: 0.100000
Training Epoch: 11 [19456/46200]	Loss: 1.1957	LR: 0.100000
Training Epoch: 11 [19712/46200]	Loss: 1.1050	LR: 0.100000
Training Epoch: 11 [19968/46200]	Loss: 1.0360	LR: 0.100000
Training Epoch: 11 [20224/46200]	Loss: 1.1504	LR: 0.100000
Training Epoch: 11 [20480/46200]	Loss: 1.0197	LR: 0.100000
Training Epoch: 11 [20736/46200]	Loss: 1.1951	LR: 0.100000
Training Epoch: 11 [20992/46200]	Loss: 1.2156	LR: 0.100000
Training Epoch: 11 [21248/46200]	Loss: 1.0462	LR: 0.100000
Training Epoch: 11 [21504/46200]	Loss: 1.0815	LR: 0.100000
Training Epoch: 11 [21760/46200]	Loss: 1.0211	LR: 0.100000
Training Epoch: 11 [22016/46200]	Loss: 1.3147	LR: 0.100000
Training Epoch: 11 [22272/46200]	Loss: 0.9651	LR: 0.100000
Training Epoch: 11 [22528/46200]	Loss: 1.0809	LR: 0.100000
Training Epoch: 11 [22784/46200]	Loss: 1.2273	LR: 0.100000
Training Epoch: 11 [23040/46200]	Loss: 1.0412	LR: 0.100000
Training Epoch: 11 [23296/46200]	Loss: 1.1862	LR: 0.100000
Training Epoch: 11 [23552/46200]	Loss: 1.3521	LR: 0.100000
Training Epoch: 11 [23808/46200]	Loss: 1.1859	LR: 0.100000
Training Epoch: 11 [24064/46200]	Loss: 1.2656	LR: 0.100000
Training Epoch: 11 [24320/46200]	Loss: 1.0740	LR: 0.100000
Training Epoch: 11 [24576/46200]	Loss: 1.1757	LR: 0.100000
Training Epoch: 11 [24832/46200]	Loss: 0.9886	LR: 0.100000
Training Epoch: 11 [25088/46200]	Loss: 1.0830	LR: 0.100000
Training Epoch: 11 [25344/46200]	Loss: 1.1229	LR: 0.100000
Training Epoch: 11 [25600/46200]	Loss: 1.1100	LR: 0.100000
Training Epoch: 11 [25856/46200]	Loss: 1.0555	LR: 0.100000
Training Epoch: 11 [26112/46200]	Loss: 1.0253	LR: 0.100000
Training Epoch: 11 [26368/46200]	Loss: 1.2459	LR: 0.100000
Training Epoch: 11 [26624/46200]	Loss: 1.1645	LR: 0.100000
Training Epoch: 11 [26880/46200]	Loss: 1.1671	LR: 0.100000
Training Epoch: 11 [27136/46200]	Loss: 1.1139	LR: 0.100000
Training Epoch: 11 [27392/46200]	Loss: 1.0579	LR: 0.100000
Training Epoch: 11 [27648/46200]	Loss: 1.0603	LR: 0.100000
Training Epoch: 11 [27904/46200]	Loss: 1.0536	LR: 0.100000
Training Epoch: 11 [28160/46200]	Loss: 1.0412	LR: 0.100000
Training Epoch: 11 [28416/46200]	Loss: 1.1644	LR: 0.100000
Training Epoch: 11 [28672/46200]	Loss: 1.2587	LR: 0.100000
Training Epoch: 11 [28928/46200]	Loss: 1.2066	LR: 0.100000
Training Epoch: 11 [29184/46200]	Loss: 1.1226	LR: 0.100000
Training Epoch: 11 [29440/46200]	Loss: 1.1335	LR: 0.100000
Training Epoch: 11 [29696/46200]	Loss: 1.0260	LR: 0.100000
Training Epoch: 11 [29952/46200]	Loss: 1.0702	LR: 0.100000
Training Epoch: 11 [30208/46200]	Loss: 1.0088	LR: 0.100000
Training Epoch: 11 [30464/46200]	Loss: 1.1913	LR: 0.100000
Training Epoch: 11 [30720/46200]	Loss: 1.1753	LR: 0.100000
Training Epoch: 11 [30976/46200]	Loss: 1.1739	LR: 0.100000
Training Epoch: 11 [31232/46200]	Loss: 1.1687	LR: 0.100000
Training Epoch: 11 [31488/46200]	Loss: 0.9359	LR: 0.100000
Training Epoch: 11 [31744/46200]	Loss: 1.1819	LR: 0.100000
Training Epoch: 11 [32000/46200]	Loss: 1.2051	LR: 0.100000
Training Epoch: 11 [32256/46200]	Loss: 1.0936	LR: 0.100000
Training Epoch: 11 [32512/46200]	Loss: 1.0212	LR: 0.100000
Training Epoch: 11 [32768/46200]	Loss: 1.2205	LR: 0.100000
Training Epoch: 11 [33024/46200]	Loss: 1.0853	LR: 0.100000
Training Epoch: 11 [33280/46200]	Loss: 1.0326	LR: 0.100000
Training Epoch: 11 [33536/46200]	Loss: 1.0375	LR: 0.100000
Training Epoch: 11 [33792/46200]	Loss: 1.2275	LR: 0.100000
Training Epoch: 11 [34048/46200]	Loss: 1.1104	LR: 0.100000
Training Epoch: 11 [34304/46200]	Loss: 1.1125	LR: 0.100000
Training Epoch: 11 [34560/46200]	Loss: 1.1247	LR: 0.100000
Training Epoch: 11 [34816/46200]	Loss: 1.1462	LR: 0.100000
Training Epoch: 11 [35072/46200]	Loss: 0.9715	LR: 0.100000
Training Epoch: 11 [35328/46200]	Loss: 1.0041	LR: 0.100000
Training Epoch: 11 [35584/46200]	Loss: 1.2186	LR: 0.100000
Training Epoch: 11 [35840/46200]	Loss: 1.2009	LR: 0.100000
Training Epoch: 11 [36096/46200]	Loss: 1.0956	LR: 0.100000
Training Epoch: 11 [36352/46200]	Loss: 1.1934	LR: 0.100000
Training Epoch: 11 [36608/46200]	Loss: 1.0971	LR: 0.100000
Training Epoch: 11 [36864/46200]	Loss: 1.0868	LR: 0.100000
Training Epoch: 11 [37120/46200]	Loss: 1.0858	LR: 0.100000
Training Epoch: 11 [37376/46200]	Loss: 1.1203	LR: 0.100000
Training Epoch: 11 [37632/46200]	Loss: 1.0092	LR: 0.100000
Training Epoch: 11 [37888/46200]	Loss: 1.0725	LR: 0.100000
Training Epoch: 11 [38144/46200]	Loss: 1.1214	LR: 0.100000
Training Epoch: 11 [38400/46200]	Loss: 1.0250	LR: 0.100000
Training Epoch: 11 [38656/46200]	Loss: 1.1787	LR: 0.100000
Training Epoch: 11 [38912/46200]	Loss: 1.0507	LR: 0.100000
Training Epoch: 11 [39168/46200]	Loss: 1.0326	LR: 0.100000
Training Epoch: 11 [39424/46200]	Loss: 1.1206	LR: 0.100000
Training Epoch: 11 [39680/46200]	Loss: 1.0908	LR: 0.100000
Training Epoch: 11 [39936/46200]	Loss: 1.1540	LR: 0.100000
Training Epoch: 11 [40192/46200]	Loss: 0.9944	LR: 0.100000
Training Epoch: 11 [40448/46200]	Loss: 1.2185	LR: 0.100000
Training Epoch: 11 [40704/46200]	Loss: 0.9325	LR: 0.100000
Training Epoch: 11 [40960/46200]	Loss: 1.3295	LR: 0.100000
Training Epoch: 11 [41216/46200]	Loss: 1.1817	LR: 0.100000
Training Epoch: 11 [41472/46200]	Loss: 1.1417	LR: 0.100000
Training Epoch: 11 [41728/46200]	Loss: 1.0450	LR: 0.100000
Training Epoch: 11 [41984/46200]	Loss: 1.2135	LR: 0.100000
Training Epoch: 11 [42240/46200]	Loss: 1.1632	LR: 0.100000
Training Epoch: 11 [42496/46200]	Loss: 1.1605	LR: 0.100000
Training Epoch: 11 [42752/46200]	Loss: 1.3858	LR: 0.100000
Training Epoch: 11 [43008/46200]	Loss: 1.1620	LR: 0.100000
Training Epoch: 11 [43264/46200]	Loss: 1.0697	LR: 0.100000
Training Epoch: 11 [43520/46200]	Loss: 1.2660	LR: 0.100000
Training Epoch: 11 [43776/46200]	Loss: 0.9387	LR: 0.100000
Training Epoch: 11 [44032/46200]	Loss: 1.0724	LR: 0.100000
Training Epoch: 11 [44288/46200]	Loss: 1.1506	LR: 0.100000
Training Epoch: 11 [44544/46200]	Loss: 1.1620	LR: 0.100000
Training Epoch: 11 [44800/46200]	Loss: 1.0254	LR: 0.100000
Training Epoch: 11 [45056/46200]	Loss: 1.1459	LR: 0.100000
Training Epoch: 11 [45312/46200]	Loss: 1.0443	LR: 0.100000
Training Epoch: 11 [45568/46200]	Loss: 1.1622	LR: 0.100000
Training Epoch: 11 [45824/46200]	Loss: 1.0191	LR: 0.100000
Training Epoch: 11 [46080/46200]	Loss: 1.0204	LR: 0.100000
Training Epoch: 11 [46200/46200]	Loss: 1.2604	LR: 0.100000
Epoch 11 - Average Train Loss: 1.1110, Train Accuracy: 0.6463
Epoch 11 training time consumed: 25.20s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0063, Accuracy: 0.5706, Time consumed:0.89s
Training Epoch: 12 [256/46200]	Loss: 1.0211	LR: 0.100000
Training Epoch: 12 [512/46200]	Loss: 1.1106	LR: 0.100000
Training Epoch: 12 [768/46200]	Loss: 1.0739	LR: 0.100000
Training Epoch: 12 [1024/46200]	Loss: 1.0288	LR: 0.100000
Training Epoch: 12 [1280/46200]	Loss: 0.9794	LR: 0.100000
Training Epoch: 12 [1536/46200]	Loss: 1.0781	LR: 0.100000
Training Epoch: 12 [1792/46200]	Loss: 1.0767	LR: 0.100000
Training Epoch: 12 [2048/46200]	Loss: 1.1167	LR: 0.100000
Training Epoch: 12 [2304/46200]	Loss: 1.1140	LR: 0.100000
Training Epoch: 12 [2560/46200]	Loss: 1.1855	LR: 0.100000
Training Epoch: 12 [2816/46200]	Loss: 1.0518	LR: 0.100000
Training Epoch: 12 [3072/46200]	Loss: 1.1214	LR: 0.100000
Training Epoch: 12 [3328/46200]	Loss: 1.1027	LR: 0.100000
Training Epoch: 12 [3584/46200]	Loss: 1.0927	LR: 0.100000
Training Epoch: 12 [3840/46200]	Loss: 1.0737	LR: 0.100000
Training Epoch: 12 [4096/46200]	Loss: 1.1028	LR: 0.100000
Training Epoch: 12 [4352/46200]	Loss: 0.9909	LR: 0.100000
Training Epoch: 12 [4608/46200]	Loss: 0.8933	LR: 0.100000
Training Epoch: 12 [4864/46200]	Loss: 0.9461	LR: 0.100000
Training Epoch: 12 [5120/46200]	Loss: 1.1308	LR: 0.100000
Training Epoch: 12 [5376/46200]	Loss: 1.0404	LR: 0.100000
Training Epoch: 12 [5632/46200]	Loss: 1.1431	LR: 0.100000
Training Epoch: 12 [5888/46200]	Loss: 1.2285	LR: 0.100000
Training Epoch: 12 [6144/46200]	Loss: 1.0468	LR: 0.100000
Training Epoch: 12 [6400/46200]	Loss: 0.9323	LR: 0.100000
Training Epoch: 12 [6656/46200]	Loss: 1.2219	LR: 0.100000
Training Epoch: 12 [6912/46200]	Loss: 1.2394	LR: 0.100000
Training Epoch: 12 [7168/46200]	Loss: 1.1509	LR: 0.100000
Training Epoch: 12 [7424/46200]	Loss: 1.0672	LR: 0.100000
Training Epoch: 12 [7680/46200]	Loss: 1.1336	LR: 0.100000
Training Epoch: 12 [7936/46200]	Loss: 1.1503	LR: 0.100000
Training Epoch: 12 [8192/46200]	Loss: 1.0978	LR: 0.100000
Training Epoch: 12 [8448/46200]	Loss: 1.2145	LR: 0.100000
Training Epoch: 12 [8704/46200]	Loss: 1.0703	LR: 0.100000
Training Epoch: 12 [8960/46200]	Loss: 1.0094	LR: 0.100000
Training Epoch: 12 [9216/46200]	Loss: 0.9905	LR: 0.100000
Training Epoch: 12 [9472/46200]	Loss: 0.9791	LR: 0.100000
Training Epoch: 12 [9728/46200]	Loss: 1.1169	LR: 0.100000
Training Epoch: 12 [9984/46200]	Loss: 1.0330	LR: 0.100000
Training Epoch: 12 [10240/46200]	Loss: 1.1326	LR: 0.100000
Training Epoch: 12 [10496/46200]	Loss: 1.0325	LR: 0.100000
Training Epoch: 12 [10752/46200]	Loss: 1.1209	LR: 0.100000
Training Epoch: 12 [11008/46200]	Loss: 1.0280	LR: 0.100000
Training Epoch: 12 [11264/46200]	Loss: 1.1457	LR: 0.100000
Training Epoch: 12 [11520/46200]	Loss: 1.1699	LR: 0.100000
Training Epoch: 12 [11776/46200]	Loss: 1.0496	LR: 0.100000
Training Epoch: 12 [12032/46200]	Loss: 1.1806	LR: 0.100000
Training Epoch: 12 [12288/46200]	Loss: 1.1130	LR: 0.100000
Training Epoch: 12 [12544/46200]	Loss: 0.9929	LR: 0.100000
Training Epoch: 12 [12800/46200]	Loss: 1.0479	LR: 0.100000
Training Epoch: 12 [13056/46200]	Loss: 1.0979	LR: 0.100000
Training Epoch: 12 [13312/46200]	Loss: 1.0756	LR: 0.100000
Training Epoch: 12 [13568/46200]	Loss: 1.0141	LR: 0.100000
Training Epoch: 12 [13824/46200]	Loss: 1.0961	LR: 0.100000
Training Epoch: 12 [14080/46200]	Loss: 1.0872	LR: 0.100000
Training Epoch: 12 [14336/46200]	Loss: 1.0722	LR: 0.100000
Training Epoch: 12 [14592/46200]	Loss: 1.2856	LR: 0.100000
Training Epoch: 12 [14848/46200]	Loss: 0.9717	LR: 0.100000
Training Epoch: 12 [15104/46200]	Loss: 1.1261	LR: 0.100000
Training Epoch: 12 [15360/46200]	Loss: 1.0583	LR: 0.100000
Training Epoch: 12 [15616/46200]	Loss: 1.0985	LR: 0.100000
Training Epoch: 12 [15872/46200]	Loss: 1.0552	LR: 0.100000
Training Epoch: 12 [16128/46200]	Loss: 0.9586	LR: 0.100000
Training Epoch: 12 [16384/46200]	Loss: 1.0713	LR: 0.100000
Training Epoch: 12 [16640/46200]	Loss: 1.0405	LR: 0.100000
Training Epoch: 12 [16896/46200]	Loss: 1.1637	LR: 0.100000
Training Epoch: 12 [17152/46200]	Loss: 1.0468	LR: 0.100000
Training Epoch: 12 [17408/46200]	Loss: 1.0396	LR: 0.100000
Training Epoch: 12 [17664/46200]	Loss: 1.0269	LR: 0.100000
Training Epoch: 12 [17920/46200]	Loss: 1.0683	LR: 0.100000
Training Epoch: 12 [18176/46200]	Loss: 1.0654	LR: 0.100000
Training Epoch: 12 [18432/46200]	Loss: 0.9991	LR: 0.100000
Training Epoch: 12 [18688/46200]	Loss: 1.1269	LR: 0.100000
Training Epoch: 12 [18944/46200]	Loss: 1.1080	LR: 0.100000
Training Epoch: 12 [19200/46200]	Loss: 1.0151	LR: 0.100000
Training Epoch: 12 [19456/46200]	Loss: 0.9157	LR: 0.100000
Training Epoch: 12 [19712/46200]	Loss: 0.9651	LR: 0.100000
Training Epoch: 12 [19968/46200]	Loss: 0.8994	LR: 0.100000
Training Epoch: 12 [20224/46200]	Loss: 1.0675	LR: 0.100000
Training Epoch: 12 [20480/46200]	Loss: 0.9339	LR: 0.100000
Training Epoch: 12 [20736/46200]	Loss: 1.1174	LR: 0.100000
Training Epoch: 12 [20992/46200]	Loss: 1.1402	LR: 0.100000
Training Epoch: 12 [21248/46200]	Loss: 1.0984	LR: 0.100000
Training Epoch: 12 [21504/46200]	Loss: 1.3082	LR: 0.100000
Training Epoch: 12 [21760/46200]	Loss: 1.1880	LR: 0.100000
Training Epoch: 12 [22016/46200]	Loss: 1.1301	LR: 0.100000
Training Epoch: 12 [22272/46200]	Loss: 1.1996	LR: 0.100000
Training Epoch: 12 [22528/46200]	Loss: 1.1172	LR: 0.100000
Training Epoch: 12 [22784/46200]	Loss: 1.0393	LR: 0.100000
Training Epoch: 12 [23040/46200]	Loss: 0.9880	LR: 0.100000
Training Epoch: 12 [23296/46200]	Loss: 1.1275	LR: 0.100000
Training Epoch: 12 [23552/46200]	Loss: 1.1599	LR: 0.100000
Training Epoch: 12 [23808/46200]	Loss: 1.0547	LR: 0.100000
Training Epoch: 12 [24064/46200]	Loss: 1.1406	LR: 0.100000
Training Epoch: 12 [24320/46200]	Loss: 1.0393	LR: 0.100000
Training Epoch: 12 [24576/46200]	Loss: 0.8935	LR: 0.100000
Training Epoch: 12 [24832/46200]	Loss: 1.0969	LR: 0.100000
Training Epoch: 12 [25088/46200]	Loss: 1.1248	LR: 0.100000
Training Epoch: 12 [25344/46200]	Loss: 1.1944	LR: 0.100000
Training Epoch: 12 [25600/46200]	Loss: 1.0101	LR: 0.100000
Training Epoch: 12 [25856/46200]	Loss: 0.9828	LR: 0.100000
Training Epoch: 12 [26112/46200]	Loss: 1.1077	LR: 0.100000
Training Epoch: 12 [26368/46200]	Loss: 1.1974	LR: 0.100000
Training Epoch: 12 [26624/46200]	Loss: 1.0042	LR: 0.100000
Training Epoch: 12 [26880/46200]	Loss: 0.9798	LR: 0.100000
Training Epoch: 12 [27136/46200]	Loss: 1.0081	LR: 0.100000
Training Epoch: 12 [27392/46200]	Loss: 1.1778	LR: 0.100000
Training Epoch: 12 [27648/46200]	Loss: 1.0306	LR: 0.100000
Training Epoch: 12 [27904/46200]	Loss: 1.1259	LR: 0.100000
Training Epoch: 12 [28160/46200]	Loss: 1.1237	LR: 0.100000
Training Epoch: 12 [28416/46200]	Loss: 1.0508	LR: 0.100000
Training Epoch: 12 [28672/46200]	Loss: 0.9525	LR: 0.100000
Training Epoch: 12 [28928/46200]	Loss: 1.1554	LR: 0.100000
Training Epoch: 12 [29184/46200]	Loss: 1.0833	LR: 0.100000
Training Epoch: 12 [29440/46200]	Loss: 1.0175	LR: 0.100000
Training Epoch: 12 [29696/46200]	Loss: 1.0812	LR: 0.100000
Training Epoch: 12 [29952/46200]	Loss: 0.9581	LR: 0.100000
Training Epoch: 12 [30208/46200]	Loss: 1.0449	LR: 0.100000
Training Epoch: 12 [30464/46200]	Loss: 1.0684	LR: 0.100000
Training Epoch: 12 [30720/46200]	Loss: 1.1595	LR: 0.100000
Training Epoch: 12 [30976/46200]	Loss: 0.9235	LR: 0.100000
Training Epoch: 12 [31232/46200]	Loss: 1.0454	LR: 0.100000
Training Epoch: 12 [31488/46200]	Loss: 1.1159	LR: 0.100000
Training Epoch: 12 [31744/46200]	Loss: 1.1251	LR: 0.100000
Training Epoch: 12 [32000/46200]	Loss: 1.0539	LR: 0.100000
Training Epoch: 12 [32256/46200]	Loss: 1.1271	LR: 0.100000
Training Epoch: 12 [32512/46200]	Loss: 0.8766	LR: 0.100000
Training Epoch: 12 [32768/46200]	Loss: 1.0244	LR: 0.100000
Training Epoch: 12 [33024/46200]	Loss: 1.1673	LR: 0.100000
Training Epoch: 12 [33280/46200]	Loss: 1.1471	LR: 0.100000
Training Epoch: 12 [33536/46200]	Loss: 1.0846	LR: 0.100000
Training Epoch: 12 [33792/46200]	Loss: 1.1369	LR: 0.100000
Training Epoch: 12 [34048/46200]	Loss: 1.0375	LR: 0.100000
Training Epoch: 12 [34304/46200]	Loss: 1.0931	LR: 0.100000
Training Epoch: 12 [34560/46200]	Loss: 1.2662	LR: 0.100000
Training Epoch: 12 [34816/46200]	Loss: 1.0594	LR: 0.100000
Training Epoch: 12 [35072/46200]	Loss: 1.1986	LR: 0.100000
Training Epoch: 12 [35328/46200]	Loss: 1.0026	LR: 0.100000
Training Epoch: 12 [35584/46200]	Loss: 1.1266	LR: 0.100000
Training Epoch: 12 [35840/46200]	Loss: 1.0299	LR: 0.100000
Training Epoch: 12 [36096/46200]	Loss: 1.0515	LR: 0.100000
Training Epoch: 12 [36352/46200]	Loss: 1.1956	LR: 0.100000
Training Epoch: 12 [36608/46200]	Loss: 1.0346	LR: 0.100000
Training Epoch: 12 [36864/46200]	Loss: 1.0488	LR: 0.100000
Training Epoch: 12 [37120/46200]	Loss: 0.8606	LR: 0.100000
Training Epoch: 12 [37376/46200]	Loss: 1.0108	LR: 0.100000
Training Epoch: 12 [37632/46200]	Loss: 1.0728	LR: 0.100000
Training Epoch: 12 [37888/46200]	Loss: 1.0782	LR: 0.100000
Training Epoch: 12 [38144/46200]	Loss: 1.1350	LR: 0.100000
Training Epoch: 12 [38400/46200]	Loss: 0.9992	LR: 0.100000
Training Epoch: 12 [38656/46200]	Loss: 1.1191	LR: 0.100000
Training Epoch: 12 [38912/46200]	Loss: 1.1095	LR: 0.100000
Training Epoch: 12 [39168/46200]	Loss: 0.9584	LR: 0.100000
Training Epoch: 12 [39424/46200]	Loss: 1.1706	LR: 0.100000
Training Epoch: 12 [39680/46200]	Loss: 0.9614	LR: 0.100000
Training Epoch: 12 [39936/46200]	Loss: 1.0353	LR: 0.100000
Training Epoch: 12 [40192/46200]	Loss: 1.0297	LR: 0.100000
Training Epoch: 12 [40448/46200]	Loss: 0.9958	LR: 0.100000
Training Epoch: 12 [40704/46200]	Loss: 1.2447	LR: 0.100000
Training Epoch: 12 [40960/46200]	Loss: 1.0341	LR: 0.100000
Training Epoch: 12 [41216/46200]	Loss: 1.0020	LR: 0.100000
Training Epoch: 12 [41472/46200]	Loss: 1.1860	LR: 0.100000
Training Epoch: 12 [41728/46200]	Loss: 0.9821	LR: 0.100000
Training Epoch: 12 [41984/46200]	Loss: 1.0506	LR: 0.100000
Training Epoch: 12 [42240/46200]	Loss: 1.0996	LR: 0.100000
Training Epoch: 12 [42496/46200]	Loss: 1.1373	LR: 0.100000
Training Epoch: 12 [42752/46200]	Loss: 1.0428	LR: 0.100000
Training Epoch: 12 [43008/46200]	Loss: 1.0538	LR: 0.100000
Training Epoch: 12 [43264/46200]	Loss: 1.0913	LR: 0.100000
Training Epoch: 12 [43520/46200]	Loss: 1.0751	LR: 0.100000
Training Epoch: 12 [43776/46200]	Loss: 1.0427	LR: 0.100000
Training Epoch: 12 [44032/46200]	Loss: 1.1644	LR: 0.100000
Training Epoch: 12 [44288/46200]	Loss: 1.1384	LR: 0.100000
Training Epoch: 12 [44544/46200]	Loss: 1.1109	LR: 0.100000
Training Epoch: 12 [44800/46200]	Loss: 1.1281	LR: 0.100000
Training Epoch: 12 [45056/46200]	Loss: 1.1610	LR: 0.100000
Training Epoch: 12 [45312/46200]	Loss: 1.0394	LR: 0.100000
Training Epoch: 12 [45568/46200]	Loss: 1.1950	LR: 0.100000
Training Epoch: 12 [45824/46200]	Loss: 1.0530	LR: 0.100000
Training Epoch: 12 [46080/46200]	Loss: 1.0613	LR: 0.100000
Training Epoch: 12 [46200/46200]	Loss: 0.9780	LR: 0.100000
Epoch 12 - Average Train Loss: 1.0764, Train Accuracy: 0.6545
Epoch 12 training time consumed: 25.23s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0058, Accuracy: 0.5623, Time consumed:0.85s
Training Epoch: 13 [256/46200]	Loss: 1.0370	LR: 0.100000
Training Epoch: 13 [512/46200]	Loss: 1.1504	LR: 0.100000
Training Epoch: 13 [768/46200]	Loss: 1.0439	LR: 0.100000
Training Epoch: 13 [1024/46200]	Loss: 1.0043	LR: 0.100000
Training Epoch: 13 [1280/46200]	Loss: 1.1609	LR: 0.100000
Training Epoch: 13 [1536/46200]	Loss: 1.1239	LR: 0.100000
Training Epoch: 13 [1792/46200]	Loss: 1.1065	LR: 0.100000
Training Epoch: 13 [2048/46200]	Loss: 0.9871	LR: 0.100000
Training Epoch: 13 [2304/46200]	Loss: 1.0169	LR: 0.100000
Training Epoch: 13 [2560/46200]	Loss: 1.0852	LR: 0.100000
Training Epoch: 13 [2816/46200]	Loss: 1.0013	LR: 0.100000
Training Epoch: 13 [3072/46200]	Loss: 1.0237	LR: 0.100000
Training Epoch: 13 [3328/46200]	Loss: 1.0731	LR: 0.100000
Training Epoch: 13 [3584/46200]	Loss: 1.0409	LR: 0.100000
Training Epoch: 13 [3840/46200]	Loss: 1.0359	LR: 0.100000
Training Epoch: 13 [4096/46200]	Loss: 1.1788	LR: 0.100000
Training Epoch: 13 [4352/46200]	Loss: 1.0089	LR: 0.100000
Training Epoch: 13 [4608/46200]	Loss: 0.9667	LR: 0.100000
Training Epoch: 13 [4864/46200]	Loss: 0.9729	LR: 0.100000
Training Epoch: 13 [5120/46200]	Loss: 1.0306	LR: 0.100000
Training Epoch: 13 [5376/46200]	Loss: 1.0312	LR: 0.100000
Training Epoch: 13 [5632/46200]	Loss: 1.0536	LR: 0.100000
Training Epoch: 13 [5888/46200]	Loss: 1.0907	LR: 0.100000
Training Epoch: 13 [6144/46200]	Loss: 1.0275	LR: 0.100000
Training Epoch: 13 [6400/46200]	Loss: 1.1181	LR: 0.100000
Training Epoch: 13 [6656/46200]	Loss: 1.1168	LR: 0.100000
Training Epoch: 13 [6912/46200]	Loss: 1.1822	LR: 0.100000
Training Epoch: 13 [7168/46200]	Loss: 1.1033	LR: 0.100000
Training Epoch: 13 [7424/46200]	Loss: 1.0150	LR: 0.100000
Training Epoch: 13 [7680/46200]	Loss: 1.1102	LR: 0.100000
Training Epoch: 13 [7936/46200]	Loss: 1.1701	LR: 0.100000
Training Epoch: 13 [8192/46200]	Loss: 1.0577	LR: 0.100000
Training Epoch: 13 [8448/46200]	Loss: 1.0674	LR: 0.100000
Training Epoch: 13 [8704/46200]	Loss: 1.0880	LR: 0.100000
Training Epoch: 13 [8960/46200]	Loss: 1.1479	LR: 0.100000
Training Epoch: 13 [9216/46200]	Loss: 1.0873	LR: 0.100000
Training Epoch: 13 [9472/46200]	Loss: 1.2269	LR: 0.100000
Training Epoch: 13 [9728/46200]	Loss: 1.0655	LR: 0.100000
Training Epoch: 13 [9984/46200]	Loss: 1.1233	LR: 0.100000
Training Epoch: 13 [10240/46200]	Loss: 1.0615	LR: 0.100000
Training Epoch: 13 [10496/46200]	Loss: 0.8855	LR: 0.100000
Training Epoch: 13 [10752/46200]	Loss: 1.0235	LR: 0.100000
Training Epoch: 13 [11008/46200]	Loss: 1.0361	LR: 0.100000
Training Epoch: 13 [11264/46200]	Loss: 1.0202	LR: 0.100000
Training Epoch: 13 [11520/46200]	Loss: 1.0913	LR: 0.100000
Training Epoch: 13 [11776/46200]	Loss: 0.9753	LR: 0.100000
Training Epoch: 13 [12032/46200]	Loss: 1.0847	LR: 0.100000
Training Epoch: 13 [12288/46200]	Loss: 1.0519	LR: 0.100000
Training Epoch: 13 [12544/46200]	Loss: 1.1738	LR: 0.100000
Training Epoch: 13 [12800/46200]	Loss: 1.0956	LR: 0.100000
Training Epoch: 13 [13056/46200]	Loss: 1.0631	LR: 0.100000
Training Epoch: 13 [13312/46200]	Loss: 1.0989	LR: 0.100000
Training Epoch: 13 [13568/46200]	Loss: 1.1902	LR: 0.100000
Training Epoch: 13 [13824/46200]	Loss: 1.1074	LR: 0.100000
Training Epoch: 13 [14080/46200]	Loss: 1.2072	LR: 0.100000
Training Epoch: 13 [14336/46200]	Loss: 0.9368	LR: 0.100000
Training Epoch: 13 [14592/46200]	Loss: 1.0746	LR: 0.100000
Training Epoch: 13 [14848/46200]	Loss: 1.0196	LR: 0.100000
Training Epoch: 13 [15104/46200]	Loss: 0.9660	LR: 0.100000
Training Epoch: 13 [15360/46200]	Loss: 1.1501	LR: 0.100000
Training Epoch: 13 [15616/46200]	Loss: 1.0412	LR: 0.100000
Training Epoch: 13 [15872/46200]	Loss: 1.0256	LR: 0.100000
Training Epoch: 13 [16128/46200]	Loss: 1.1396	LR: 0.100000
Training Epoch: 13 [16384/46200]	Loss: 0.9863	LR: 0.100000
Training Epoch: 13 [16640/46200]	Loss: 0.9865	LR: 0.100000
Training Epoch: 13 [16896/46200]	Loss: 1.0885	LR: 0.100000
Training Epoch: 13 [17152/46200]	Loss: 1.1116	LR: 0.100000
Training Epoch: 13 [17408/46200]	Loss: 1.0809	LR: 0.100000
Training Epoch: 13 [17664/46200]	Loss: 1.0655	LR: 0.100000
Training Epoch: 13 [17920/46200]	Loss: 0.9775	LR: 0.100000
Training Epoch: 13 [18176/46200]	Loss: 1.0427	LR: 0.100000
Training Epoch: 13 [18432/46200]	Loss: 1.0182	LR: 0.100000
Training Epoch: 13 [18688/46200]	Loss: 1.1964	LR: 0.100000
Training Epoch: 13 [18944/46200]	Loss: 1.0424	LR: 0.100000
Training Epoch: 13 [19200/46200]	Loss: 1.0548	LR: 0.100000
Training Epoch: 13 [19456/46200]	Loss: 0.9533	LR: 0.100000
Training Epoch: 13 [19712/46200]	Loss: 1.0423	LR: 0.100000
Training Epoch: 13 [19968/46200]	Loss: 1.0758	LR: 0.100000
Training Epoch: 13 [20224/46200]	Loss: 1.1378	LR: 0.100000
Training Epoch: 13 [20480/46200]	Loss: 1.0717	LR: 0.100000
Training Epoch: 13 [20736/46200]	Loss: 1.1497	LR: 0.100000
Training Epoch: 13 [20992/46200]	Loss: 1.1179	LR: 0.100000
Training Epoch: 13 [21248/46200]	Loss: 1.0244	LR: 0.100000
Training Epoch: 13 [21504/46200]	Loss: 1.0371	LR: 0.100000
Training Epoch: 13 [21760/46200]	Loss: 1.0962	LR: 0.100000
Training Epoch: 13 [22016/46200]	Loss: 0.9402	LR: 0.100000
Training Epoch: 13 [22272/46200]	Loss: 1.0503	LR: 0.100000
Training Epoch: 13 [22528/46200]	Loss: 1.1104	LR: 0.100000
Training Epoch: 13 [22784/46200]	Loss: 1.1067	LR: 0.100000
Training Epoch: 13 [23040/46200]	Loss: 1.0058	LR: 0.100000
Training Epoch: 13 [23296/46200]	Loss: 1.0835	LR: 0.100000
Training Epoch: 13 [23552/46200]	Loss: 1.0276	LR: 0.100000
Training Epoch: 13 [23808/46200]	Loss: 1.1797	LR: 0.100000
Training Epoch: 13 [24064/46200]	Loss: 0.9618	LR: 0.100000
Training Epoch: 13 [24320/46200]	Loss: 0.9173	LR: 0.100000
Training Epoch: 13 [24576/46200]	Loss: 0.9830	LR: 0.100000
Training Epoch: 13 [24832/46200]	Loss: 0.9381	LR: 0.100000
Training Epoch: 13 [25088/46200]	Loss: 1.0801	LR: 0.100000
Training Epoch: 13 [25344/46200]	Loss: 1.0297	LR: 0.100000
Training Epoch: 13 [25600/46200]	Loss: 1.0354	LR: 0.100000
Training Epoch: 13 [25856/46200]	Loss: 0.8769	LR: 0.100000
Training Epoch: 13 [26112/46200]	Loss: 1.0119	LR: 0.100000
Training Epoch: 13 [26368/46200]	Loss: 1.1423	LR: 0.100000
Training Epoch: 13 [26624/46200]	Loss: 0.9973	LR: 0.100000
Training Epoch: 13 [26880/46200]	Loss: 1.0021	LR: 0.100000
Training Epoch: 13 [27136/46200]	Loss: 0.9391	LR: 0.100000
Training Epoch: 13 [27392/46200]	Loss: 1.0929	LR: 0.100000
Training Epoch: 13 [27648/46200]	Loss: 1.0372	LR: 0.100000
Training Epoch: 13 [27904/46200]	Loss: 1.1637	LR: 0.100000
Training Epoch: 13 [28160/46200]	Loss: 1.0045	LR: 0.100000
Training Epoch: 13 [28416/46200]	Loss: 0.9629	LR: 0.100000
Training Epoch: 13 [28672/46200]	Loss: 1.0509	LR: 0.100000
Training Epoch: 13 [28928/46200]	Loss: 1.0561	LR: 0.100000
Training Epoch: 13 [29184/46200]	Loss: 1.0518	LR: 0.100000
Training Epoch: 13 [29440/46200]	Loss: 1.1354	LR: 0.100000
Training Epoch: 13 [29696/46200]	Loss: 1.0142	LR: 0.100000
Training Epoch: 13 [29952/46200]	Loss: 0.9566	LR: 0.100000
Training Epoch: 13 [30208/46200]	Loss: 1.0343	LR: 0.100000
Training Epoch: 13 [30464/46200]	Loss: 0.9035	LR: 0.100000
Training Epoch: 13 [30720/46200]	Loss: 1.0520	LR: 0.100000
Training Epoch: 13 [30976/46200]	Loss: 1.1494	LR: 0.100000
Training Epoch: 13 [31232/46200]	Loss: 1.0180	LR: 0.100000
Training Epoch: 13 [31488/46200]	Loss: 1.0369	LR: 0.100000
Training Epoch: 13 [31744/46200]	Loss: 0.9405	LR: 0.100000
Training Epoch: 13 [32000/46200]	Loss: 1.0577	LR: 0.100000
Training Epoch: 13 [32256/46200]	Loss: 0.9374	LR: 0.100000
Training Epoch: 13 [32512/46200]	Loss: 1.0369	LR: 0.100000
Training Epoch: 13 [32768/46200]	Loss: 1.0156	LR: 0.100000
Training Epoch: 13 [33024/46200]	Loss: 1.1121	LR: 0.100000
Training Epoch: 13 [33280/46200]	Loss: 0.9150	LR: 0.100000
Training Epoch: 13 [33536/46200]	Loss: 1.0130	LR: 0.100000
Training Epoch: 13 [33792/46200]	Loss: 1.0276	LR: 0.100000
Training Epoch: 13 [34048/46200]	Loss: 0.9852	LR: 0.100000
Training Epoch: 13 [34304/46200]	Loss: 1.1616	LR: 0.100000
Training Epoch: 13 [34560/46200]	Loss: 1.0379	LR: 0.100000
Training Epoch: 13 [34816/46200]	Loss: 1.1177	LR: 0.100000
Training Epoch: 13 [35072/46200]	Loss: 0.9585	LR: 0.100000
Training Epoch: 13 [35328/46200]	Loss: 0.9579	LR: 0.100000
Training Epoch: 13 [35584/46200]	Loss: 1.0366	LR: 0.100000
Training Epoch: 13 [35840/46200]	Loss: 1.1483	LR: 0.100000
Training Epoch: 13 [36096/46200]	Loss: 1.0498	LR: 0.100000
Training Epoch: 13 [36352/46200]	Loss: 1.0177	LR: 0.100000
Training Epoch: 13 [36608/46200]	Loss: 1.0051	LR: 0.100000
Training Epoch: 13 [36864/46200]	Loss: 1.0406	LR: 0.100000
Training Epoch: 13 [37120/46200]	Loss: 1.1350	LR: 0.100000
Training Epoch: 13 [37376/46200]	Loss: 1.0885	LR: 0.100000
Training Epoch: 13 [37632/46200]	Loss: 1.0613	LR: 0.100000
Training Epoch: 13 [37888/46200]	Loss: 1.1154	LR: 0.100000
Training Epoch: 13 [38144/46200]	Loss: 0.9909	LR: 0.100000
Training Epoch: 13 [38400/46200]	Loss: 1.1190	LR: 0.100000
Training Epoch: 13 [38656/46200]	Loss: 1.1363	LR: 0.100000
Training Epoch: 13 [38912/46200]	Loss: 1.1021	LR: 0.100000
Training Epoch: 13 [39168/46200]	Loss: 1.0319	LR: 0.100000
Training Epoch: 13 [39424/46200]	Loss: 0.9048	LR: 0.100000
Training Epoch: 13 [39680/46200]	Loss: 1.1416	LR: 0.100000
Training Epoch: 13 [39936/46200]	Loss: 0.9925	LR: 0.100000
Training Epoch: 13 [40192/46200]	Loss: 1.1107	LR: 0.100000
Training Epoch: 13 [40448/46200]	Loss: 0.9616	LR: 0.100000
Training Epoch: 13 [40704/46200]	Loss: 0.9830	LR: 0.100000
Training Epoch: 13 [40960/46200]	Loss: 1.2774	LR: 0.100000
Training Epoch: 13 [41216/46200]	Loss: 1.0018	LR: 0.100000
Training Epoch: 13 [41472/46200]	Loss: 1.1029	LR: 0.100000
Training Epoch: 13 [41728/46200]	Loss: 1.1548	LR: 0.100000
Training Epoch: 13 [41984/46200]	Loss: 1.0247	LR: 0.100000
Training Epoch: 13 [42240/46200]	Loss: 1.1710	LR: 0.100000
Training Epoch: 13 [42496/46200]	Loss: 0.8941	LR: 0.100000
Training Epoch: 13 [42752/46200]	Loss: 1.0010	LR: 0.100000
Training Epoch: 13 [43008/46200]	Loss: 1.0487	LR: 0.100000
Training Epoch: 13 [43264/46200]	Loss: 1.0899	LR: 0.100000
Training Epoch: 13 [43520/46200]	Loss: 1.1597	LR: 0.100000
Training Epoch: 13 [43776/46200]	Loss: 1.1613	LR: 0.100000
Training Epoch: 13 [44032/46200]	Loss: 1.0170	LR: 0.100000
Training Epoch: 13 [44288/46200]	Loss: 1.0631	LR: 0.100000
Training Epoch: 13 [44544/46200]	Loss: 1.0345	LR: 0.100000
Training Epoch: 13 [44800/46200]	Loss: 1.1903	LR: 0.100000
Training Epoch: 13 [45056/46200]	Loss: 1.0190	LR: 0.100000
Training Epoch: 13 [45312/46200]	Loss: 1.0002	LR: 0.100000
Training Epoch: 13 [45568/46200]	Loss: 1.1150	LR: 0.100000
Training Epoch: 13 [45824/46200]	Loss: 0.9318	LR: 0.100000
Training Epoch: 13 [46080/46200]	Loss: 1.1080	LR: 0.100000
Training Epoch: 13 [46200/46200]	Loss: 0.9643	LR: 0.100000
Epoch 13 - Average Train Loss: 1.0551, Train Accuracy: 0.6618
Epoch 13 training time consumed: 25.27s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0065, Accuracy: 0.5561, Time consumed:0.91s
Training Epoch: 14 [256/46200]	Loss: 1.0118	LR: 0.100000
Training Epoch: 14 [512/46200]	Loss: 1.0484	LR: 0.100000
Training Epoch: 14 [768/46200]	Loss: 0.9401	LR: 0.100000
Training Epoch: 14 [1024/46200]	Loss: 1.1132	LR: 0.100000
Training Epoch: 14 [1280/46200]	Loss: 1.1165	LR: 0.100000
Training Epoch: 14 [1536/46200]	Loss: 0.9728	LR: 0.100000
Training Epoch: 14 [1792/46200]	Loss: 1.0410	LR: 0.100000
Training Epoch: 14 [2048/46200]	Loss: 0.9977	LR: 0.100000
Training Epoch: 14 [2304/46200]	Loss: 0.9584	LR: 0.100000
Training Epoch: 14 [2560/46200]	Loss: 1.1210	LR: 0.100000
Training Epoch: 14 [2816/46200]	Loss: 1.0456	LR: 0.100000
Training Epoch: 14 [3072/46200]	Loss: 0.9389	LR: 0.100000
Training Epoch: 14 [3328/46200]	Loss: 1.0194	LR: 0.100000
Training Epoch: 14 [3584/46200]	Loss: 0.9488	LR: 0.100000
Training Epoch: 14 [3840/46200]	Loss: 0.9874	LR: 0.100000
Training Epoch: 14 [4096/46200]	Loss: 1.0333	LR: 0.100000
Training Epoch: 14 [4352/46200]	Loss: 0.9680	LR: 0.100000
Training Epoch: 14 [4608/46200]	Loss: 0.9849	LR: 0.100000
Training Epoch: 14 [4864/46200]	Loss: 0.9650	LR: 0.100000
Training Epoch: 14 [5120/46200]	Loss: 1.0266	LR: 0.100000
Training Epoch: 14 [5376/46200]	Loss: 0.9093	LR: 0.100000
Training Epoch: 14 [5632/46200]	Loss: 0.9706	LR: 0.100000
Training Epoch: 14 [5888/46200]	Loss: 1.0725	LR: 0.100000
Training Epoch: 14 [6144/46200]	Loss: 0.9450	LR: 0.100000
Training Epoch: 14 [6400/46200]	Loss: 0.8974	LR: 0.100000
Training Epoch: 14 [6656/46200]	Loss: 0.9789	LR: 0.100000
Training Epoch: 14 [6912/46200]	Loss: 1.0543	LR: 0.100000
Training Epoch: 14 [7168/46200]	Loss: 0.9184	LR: 0.100000
Training Epoch: 14 [7424/46200]	Loss: 1.0357	LR: 0.100000
Training Epoch: 14 [7680/46200]	Loss: 1.0943	LR: 0.100000
Training Epoch: 14 [7936/46200]	Loss: 0.8558	LR: 0.100000
Training Epoch: 14 [8192/46200]	Loss: 1.0413	LR: 0.100000
Training Epoch: 14 [8448/46200]	Loss: 0.9415	LR: 0.100000
Training Epoch: 14 [8704/46200]	Loss: 1.0239	LR: 0.100000
Training Epoch: 14 [8960/46200]	Loss: 0.9313	LR: 0.100000
Training Epoch: 14 [9216/46200]	Loss: 0.9656	LR: 0.100000
Training Epoch: 14 [9472/46200]	Loss: 0.9604	LR: 0.100000
Training Epoch: 14 [9728/46200]	Loss: 1.0342	LR: 0.100000
Training Epoch: 14 [9984/46200]	Loss: 0.8314	LR: 0.100000
Training Epoch: 14 [10240/46200]	Loss: 0.9294	LR: 0.100000
Training Epoch: 14 [10496/46200]	Loss: 1.0504	LR: 0.100000
Training Epoch: 14 [10752/46200]	Loss: 0.9926	LR: 0.100000
Training Epoch: 14 [11008/46200]	Loss: 1.0904	LR: 0.100000
Training Epoch: 14 [11264/46200]	Loss: 1.0038	LR: 0.100000
Training Epoch: 14 [11520/46200]	Loss: 1.0935	LR: 0.100000
Training Epoch: 14 [11776/46200]	Loss: 0.8838	LR: 0.100000
Training Epoch: 14 [12032/46200]	Loss: 1.0346	LR: 0.100000
Training Epoch: 14 [12288/46200]	Loss: 0.9338	LR: 0.100000
Training Epoch: 14 [12544/46200]	Loss: 0.9042	LR: 0.100000
Training Epoch: 14 [12800/46200]	Loss: 0.9123	LR: 0.100000
Training Epoch: 14 [13056/46200]	Loss: 1.1930	LR: 0.100000
Training Epoch: 14 [13312/46200]	Loss: 1.1157	LR: 0.100000
Training Epoch: 14 [13568/46200]	Loss: 0.9991	LR: 0.100000
Training Epoch: 14 [13824/46200]	Loss: 1.0627	LR: 0.100000
Training Epoch: 14 [14080/46200]	Loss: 0.9012	LR: 0.100000
Training Epoch: 14 [14336/46200]	Loss: 0.9661	LR: 0.100000
Training Epoch: 14 [14592/46200]	Loss: 1.1361	LR: 0.100000
Training Epoch: 14 [14848/46200]	Loss: 1.1701	LR: 0.100000
Training Epoch: 14 [15104/46200]	Loss: 0.9298	LR: 0.100000
Training Epoch: 14 [15360/46200]	Loss: 0.9353	LR: 0.100000
Training Epoch: 14 [15616/46200]	Loss: 1.2405	LR: 0.100000
Training Epoch: 14 [15872/46200]	Loss: 0.9290	LR: 0.100000
Training Epoch: 14 [16128/46200]	Loss: 1.1619	LR: 0.100000
Training Epoch: 14 [16384/46200]	Loss: 0.9483	LR: 0.100000
Training Epoch: 14 [16640/46200]	Loss: 0.9572	LR: 0.100000
Training Epoch: 14 [16896/46200]	Loss: 0.9936	LR: 0.100000
Training Epoch: 14 [17152/46200]	Loss: 0.9816	LR: 0.100000
Training Epoch: 14 [17408/46200]	Loss: 1.0367	LR: 0.100000
Training Epoch: 14 [17664/46200]	Loss: 1.1399	LR: 0.100000
Training Epoch: 14 [17920/46200]	Loss: 0.9751	LR: 0.100000
Training Epoch: 14 [18176/46200]	Loss: 0.9574	LR: 0.100000
Training Epoch: 14 [18432/46200]	Loss: 0.9852	LR: 0.100000
Training Epoch: 14 [18688/46200]	Loss: 0.9814	LR: 0.100000
Training Epoch: 14 [18944/46200]	Loss: 1.0231	LR: 0.100000
Training Epoch: 14 [19200/46200]	Loss: 0.9510	LR: 0.100000
Training Epoch: 14 [19456/46200]	Loss: 1.0445	LR: 0.100000
Training Epoch: 14 [19712/46200]	Loss: 1.0956	LR: 0.100000
Training Epoch: 14 [19968/46200]	Loss: 1.0797	LR: 0.100000
Training Epoch: 14 [20224/46200]	Loss: 1.1334	LR: 0.100000
Training Epoch: 14 [20480/46200]	Loss: 1.0853	LR: 0.100000
Training Epoch: 14 [20736/46200]	Loss: 1.0558	LR: 0.100000
Training Epoch: 14 [20992/46200]	Loss: 1.0941	LR: 0.100000
Training Epoch: 14 [21248/46200]	Loss: 1.0264	LR: 0.100000
Training Epoch: 14 [21504/46200]	Loss: 1.0636	LR: 0.100000
Training Epoch: 14 [21760/46200]	Loss: 0.9411	LR: 0.100000
Training Epoch: 14 [22016/46200]	Loss: 1.0756	LR: 0.100000
Training Epoch: 14 [22272/46200]	Loss: 1.0796	LR: 0.100000
Training Epoch: 14 [22528/46200]	Loss: 1.0893	LR: 0.100000
Training Epoch: 14 [22784/46200]	Loss: 0.9841	LR: 0.100000
Training Epoch: 14 [23040/46200]	Loss: 1.1018	LR: 0.100000
Training Epoch: 14 [23296/46200]	Loss: 0.9932	LR: 0.100000
Training Epoch: 14 [23552/46200]	Loss: 0.9850	LR: 0.100000
Training Epoch: 14 [23808/46200]	Loss: 1.0759	LR: 0.100000
Training Epoch: 14 [24064/46200]	Loss: 1.1393	LR: 0.100000
Training Epoch: 14 [24320/46200]	Loss: 1.0909	LR: 0.100000
Training Epoch: 14 [24576/46200]	Loss: 1.0091	LR: 0.100000
Training Epoch: 14 [24832/46200]	Loss: 0.9556	LR: 0.100000
Training Epoch: 14 [25088/46200]	Loss: 1.0012	LR: 0.100000
Training Epoch: 14 [25344/46200]	Loss: 0.9883	LR: 0.100000
Training Epoch: 14 [25600/46200]	Loss: 1.0569	LR: 0.100000
Training Epoch: 14 [25856/46200]	Loss: 1.0141	LR: 0.100000
Training Epoch: 14 [26112/46200]	Loss: 1.0089	LR: 0.100000
Training Epoch: 14 [26368/46200]	Loss: 0.9659	LR: 0.100000
Training Epoch: 14 [26624/46200]	Loss: 1.0764	LR: 0.100000
Training Epoch: 14 [26880/46200]	Loss: 1.0274	LR: 0.100000
Training Epoch: 14 [27136/46200]	Loss: 0.9889	LR: 0.100000
Training Epoch: 14 [27392/46200]	Loss: 1.0025	LR: 0.100000
Training Epoch: 14 [27648/46200]	Loss: 1.0444	LR: 0.100000
Training Epoch: 14 [27904/46200]	Loss: 1.0786	LR: 0.100000
Training Epoch: 14 [28160/46200]	Loss: 0.9906	LR: 0.100000
Training Epoch: 14 [28416/46200]	Loss: 1.0297	LR: 0.100000
Training Epoch: 14 [28672/46200]	Loss: 1.1498	LR: 0.100000
Training Epoch: 14 [28928/46200]	Loss: 1.0509	LR: 0.100000
Training Epoch: 14 [29184/46200]	Loss: 0.9581	LR: 0.100000
Training Epoch: 14 [29440/46200]	Loss: 1.1534	LR: 0.100000
Training Epoch: 14 [29696/46200]	Loss: 1.0322	LR: 0.100000
Training Epoch: 14 [29952/46200]	Loss: 0.9411	LR: 0.100000
Training Epoch: 14 [30208/46200]	Loss: 1.1529	LR: 0.100000
Training Epoch: 14 [30464/46200]	Loss: 1.1838	LR: 0.100000
Training Epoch: 14 [30720/46200]	Loss: 0.9826	LR: 0.100000
Training Epoch: 14 [30976/46200]	Loss: 1.0107	LR: 0.100000
Training Epoch: 14 [31232/46200]	Loss: 0.9525	LR: 0.100000
Training Epoch: 14 [31488/46200]	Loss: 1.0376	LR: 0.100000
Training Epoch: 14 [31744/46200]	Loss: 1.0236	LR: 0.100000
Training Epoch: 14 [32000/46200]	Loss: 1.0796	LR: 0.100000
Training Epoch: 14 [32256/46200]	Loss: 1.0264	LR: 0.100000
Training Epoch: 14 [32512/46200]	Loss: 0.9456	LR: 0.100000
Training Epoch: 14 [32768/46200]	Loss: 0.9314	LR: 0.100000
Training Epoch: 14 [33024/46200]	Loss: 0.9659	LR: 0.100000
Training Epoch: 14 [33280/46200]	Loss: 1.0796	LR: 0.100000
Training Epoch: 14 [33536/46200]	Loss: 1.0334	LR: 0.100000
Training Epoch: 14 [33792/46200]	Loss: 0.9628	LR: 0.100000
Training Epoch: 14 [34048/46200]	Loss: 0.9577	LR: 0.100000
Training Epoch: 14 [34304/46200]	Loss: 1.0159	LR: 0.100000
Training Epoch: 14 [34560/46200]	Loss: 1.0988	LR: 0.100000
Training Epoch: 14 [34816/46200]	Loss: 1.0219	LR: 0.100000
Training Epoch: 14 [35072/46200]	Loss: 0.9524	LR: 0.100000
Training Epoch: 14 [35328/46200]	Loss: 1.0288	LR: 0.100000
Training Epoch: 14 [35584/46200]	Loss: 1.0643	LR: 0.100000
Training Epoch: 14 [35840/46200]	Loss: 1.0105	LR: 0.100000
Training Epoch: 14 [36096/46200]	Loss: 1.0812	LR: 0.100000
Training Epoch: 14 [36352/46200]	Loss: 1.0375	LR: 0.100000
Training Epoch: 14 [36608/46200]	Loss: 1.1050	LR: 0.100000
Training Epoch: 14 [36864/46200]	Loss: 0.9233	LR: 0.100000
Training Epoch: 14 [37120/46200]	Loss: 0.9223	LR: 0.100000
Training Epoch: 14 [37376/46200]	Loss: 1.0011	LR: 0.100000
Training Epoch: 14 [37632/46200]	Loss: 1.0582	LR: 0.100000
Training Epoch: 14 [37888/46200]	Loss: 1.1221	LR: 0.100000
Training Epoch: 14 [38144/46200]	Loss: 0.9110	LR: 0.100000
Training Epoch: 14 [38400/46200]	Loss: 1.0578	LR: 0.100000
Training Epoch: 14 [38656/46200]	Loss: 1.1704	LR: 0.100000
Training Epoch: 14 [38912/46200]	Loss: 0.9730	LR: 0.100000
Training Epoch: 14 [39168/46200]	Loss: 1.0498	LR: 0.100000
Training Epoch: 14 [39424/46200]	Loss: 0.9371	LR: 0.100000
Training Epoch: 14 [39680/46200]	Loss: 1.0720	LR: 0.100000
Training Epoch: 14 [39936/46200]	Loss: 1.0754	LR: 0.100000
Training Epoch: 14 [40192/46200]	Loss: 0.9498	LR: 0.100000
Training Epoch: 14 [40448/46200]	Loss: 1.0656	LR: 0.100000
Training Epoch: 14 [40704/46200]	Loss: 0.9132	LR: 0.100000
Training Epoch: 14 [40960/46200]	Loss: 0.9416	LR: 0.100000
Training Epoch: 14 [41216/46200]	Loss: 1.0750	LR: 0.100000
Training Epoch: 14 [41472/46200]	Loss: 1.1089	LR: 0.100000
Training Epoch: 14 [41728/46200]	Loss: 1.0060	LR: 0.100000
Training Epoch: 14 [41984/46200]	Loss: 0.9870	LR: 0.100000
Training Epoch: 14 [42240/46200]	Loss: 1.0695	LR: 0.100000
Training Epoch: 14 [42496/46200]	Loss: 1.0212	LR: 0.100000
Training Epoch: 14 [42752/46200]	Loss: 0.9520	LR: 0.100000
Training Epoch: 14 [43008/46200]	Loss: 1.0789	LR: 0.100000
Training Epoch: 14 [43264/46200]	Loss: 0.9285	LR: 0.100000
Training Epoch: 14 [43520/46200]	Loss: 0.9811	LR: 0.100000
Training Epoch: 14 [43776/46200]	Loss: 1.0077	LR: 0.100000
Training Epoch: 14 [44032/46200]	Loss: 0.9348	LR: 0.100000
Training Epoch: 14 [44288/46200]	Loss: 0.9743	LR: 0.100000
Training Epoch: 14 [44544/46200]	Loss: 0.9294	LR: 0.100000
Training Epoch: 14 [44800/46200]	Loss: 1.0684	LR: 0.100000
Training Epoch: 14 [45056/46200]	Loss: 0.9905	LR: 0.100000
Training Epoch: 14 [45312/46200]	Loss: 1.1027	LR: 0.100000
Training Epoch: 14 [45568/46200]	Loss: 1.1371	LR: 0.100000
Training Epoch: 14 [45824/46200]	Loss: 1.0799	LR: 0.100000
Training Epoch: 14 [46080/46200]	Loss: 0.8792	LR: 0.100000
Training Epoch: 14 [46200/46200]	Loss: 0.8678	LR: 0.100000
Epoch 14 - Average Train Loss: 1.0171, Train Accuracy: 0.6718
Epoch 14 training time consumed: 25.19s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0056, Accuracy: 0.5943, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_18h_30m_43s/AllCNN-Cifar20-seed8-ret25-14-best.pth
Training Epoch: 15 [256/46200]	Loss: 1.0214	LR: 0.020000
Training Epoch: 15 [512/46200]	Loss: 0.9270	LR: 0.020000
Training Epoch: 15 [768/46200]	Loss: 0.9486	LR: 0.020000
Training Epoch: 15 [1024/46200]	Loss: 0.9501	LR: 0.020000
Training Epoch: 15 [1280/46200]	Loss: 0.8477	LR: 0.020000
Training Epoch: 15 [1536/46200]	Loss: 1.0203	LR: 0.020000
Training Epoch: 15 [1792/46200]	Loss: 0.8686	LR: 0.020000
Training Epoch: 15 [2048/46200]	Loss: 0.9183	LR: 0.020000
Training Epoch: 15 [2304/46200]	Loss: 0.9424	LR: 0.020000
Training Epoch: 15 [2560/46200]	Loss: 0.9313	LR: 0.020000
Training Epoch: 15 [2816/46200]	Loss: 0.8988	LR: 0.020000
Training Epoch: 15 [3072/46200]	Loss: 0.9046	LR: 0.020000
Training Epoch: 15 [3328/46200]	Loss: 0.8391	LR: 0.020000
Training Epoch: 15 [3584/46200]	Loss: 0.8448	LR: 0.020000
Training Epoch: 15 [3840/46200]	Loss: 0.8855	LR: 0.020000
Training Epoch: 15 [4096/46200]	Loss: 0.8882	LR: 0.020000
Training Epoch: 15 [4352/46200]	Loss: 0.9190	LR: 0.020000
Training Epoch: 15 [4608/46200]	Loss: 0.8346	LR: 0.020000
Training Epoch: 15 [4864/46200]	Loss: 0.7889	LR: 0.020000
Training Epoch: 15 [5120/46200]	Loss: 0.8848	LR: 0.020000
Training Epoch: 15 [5376/46200]	Loss: 0.9693	LR: 0.020000
Training Epoch: 15 [5632/46200]	Loss: 0.9473	LR: 0.020000
Training Epoch: 15 [5888/46200]	Loss: 0.7493	LR: 0.020000
Training Epoch: 15 [6144/46200]	Loss: 0.7476	LR: 0.020000
Training Epoch: 15 [6400/46200]	Loss: 0.8778	LR: 0.020000
Training Epoch: 15 [6656/46200]	Loss: 0.7967	LR: 0.020000
Training Epoch: 15 [6912/46200]	Loss: 0.8821	LR: 0.020000
Training Epoch: 15 [7168/46200]	Loss: 0.8566	LR: 0.020000
Training Epoch: 15 [7424/46200]	Loss: 0.8315	LR: 0.020000
Training Epoch: 15 [7680/46200]	Loss: 0.8393	LR: 0.020000
Training Epoch: 15 [7936/46200]	Loss: 0.6926	LR: 0.020000
Training Epoch: 15 [8192/46200]	Loss: 0.9015	LR: 0.020000
Training Epoch: 15 [8448/46200]	Loss: 0.7944	LR: 0.020000
Training Epoch: 15 [8704/46200]	Loss: 0.8026	LR: 0.020000
Training Epoch: 15 [8960/46200]	Loss: 0.7710	LR: 0.020000
Training Epoch: 15 [9216/46200]	Loss: 0.8900	LR: 0.020000
Training Epoch: 15 [9472/46200]	Loss: 0.7707	LR: 0.020000
Training Epoch: 15 [9728/46200]	Loss: 0.8943	LR: 0.020000
Training Epoch: 15 [9984/46200]	Loss: 0.7273	LR: 0.020000
Training Epoch: 15 [10240/46200]	Loss: 0.7900	LR: 0.020000
Training Epoch: 15 [10496/46200]	Loss: 0.7371	LR: 0.020000
Training Epoch: 15 [10752/46200]	Loss: 0.8785	LR: 0.020000
Training Epoch: 15 [11008/46200]	Loss: 0.8323	LR: 0.020000
Training Epoch: 15 [11264/46200]	Loss: 0.7234	LR: 0.020000
Training Epoch: 15 [11520/46200]	Loss: 0.7823	LR: 0.020000
Training Epoch: 15 [11776/46200]	Loss: 0.8013	LR: 0.020000
Training Epoch: 15 [12032/46200]	Loss: 0.7950	LR: 0.020000
Training Epoch: 15 [12288/46200]	Loss: 0.7674	LR: 0.020000
Training Epoch: 15 [12544/46200]	Loss: 0.7800	LR: 0.020000
Training Epoch: 15 [12800/46200]	Loss: 0.7261	LR: 0.020000
Training Epoch: 15 [13056/46200]	Loss: 0.8371	LR: 0.020000
Training Epoch: 15 [13312/46200]	Loss: 0.8763	LR: 0.020000
Training Epoch: 15 [13568/46200]	Loss: 0.8140	LR: 0.020000
Training Epoch: 15 [13824/46200]	Loss: 0.8263	LR: 0.020000
Training Epoch: 15 [14080/46200]	Loss: 0.7851	LR: 0.020000
Training Epoch: 15 [14336/46200]	Loss: 0.7804	LR: 0.020000
Training Epoch: 15 [14592/46200]	Loss: 0.7155	LR: 0.020000
Training Epoch: 15 [14848/46200]	Loss: 0.7371	LR: 0.020000
Training Epoch: 15 [15104/46200]	Loss: 0.8349	LR: 0.020000
Training Epoch: 15 [15360/46200]	Loss: 0.7323	LR: 0.020000
Training Epoch: 15 [15616/46200]	Loss: 0.7301	LR: 0.020000
Training Epoch: 15 [15872/46200]	Loss: 0.7767	LR: 0.020000
Training Epoch: 15 [16128/46200]	Loss: 0.8514	LR: 0.020000
Training Epoch: 15 [16384/46200]	Loss: 0.7617	LR: 0.020000
Training Epoch: 15 [16640/46200]	Loss: 0.7213	LR: 0.020000
Training Epoch: 15 [16896/46200]	Loss: 0.7785	LR: 0.020000
Training Epoch: 15 [17152/46200]	Loss: 0.8437	LR: 0.020000
Training Epoch: 15 [17408/46200]	Loss: 0.7508	LR: 0.020000
Training Epoch: 15 [17664/46200]	Loss: 0.8286	LR: 0.020000
Training Epoch: 15 [17920/46200]	Loss: 0.7606	LR: 0.020000
Training Epoch: 15 [18176/46200]	Loss: 0.8317	LR: 0.020000
Training Epoch: 15 [18432/46200]	Loss: 0.7301	LR: 0.020000
Training Epoch: 15 [18688/46200]	Loss: 0.7460	LR: 0.020000
Training Epoch: 15 [18944/46200]	Loss: 0.8067	LR: 0.020000
Training Epoch: 15 [19200/46200]	Loss: 0.6279	LR: 0.020000
Training Epoch: 15 [19456/46200]	Loss: 0.7484	LR: 0.020000
Training Epoch: 15 [19712/46200]	Loss: 0.7582	LR: 0.020000
Training Epoch: 15 [19968/46200]	Loss: 0.8065	LR: 0.020000
Training Epoch: 15 [20224/46200]	Loss: 0.7971	LR: 0.020000
Training Epoch: 15 [20480/46200]	Loss: 0.7644	LR: 0.020000
Training Epoch: 15 [20736/46200]	Loss: 0.8398	LR: 0.020000
Training Epoch: 15 [20992/46200]	Loss: 0.7188	LR: 0.020000
Training Epoch: 15 [21248/46200]	Loss: 0.7142	LR: 0.020000
Training Epoch: 15 [21504/46200]	Loss: 0.7368	LR: 0.020000
Training Epoch: 15 [21760/46200]	Loss: 0.7335	LR: 0.020000
Training Epoch: 15 [22016/46200]	Loss: 0.7402	LR: 0.020000
Training Epoch: 15 [22272/46200]	Loss: 0.7754	LR: 0.020000
Training Epoch: 15 [22528/46200]	Loss: 0.7528	LR: 0.020000
Training Epoch: 15 [22784/46200]	Loss: 0.8097	LR: 0.020000
Training Epoch: 15 [23040/46200]	Loss: 0.8326	LR: 0.020000
Training Epoch: 15 [23296/46200]	Loss: 0.8075	LR: 0.020000
Training Epoch: 15 [23552/46200]	Loss: 0.7994	LR: 0.020000
Training Epoch: 15 [23808/46200]	Loss: 0.7127	LR: 0.020000
Training Epoch: 15 [24064/46200]	Loss: 0.9272	LR: 0.020000
Training Epoch: 15 [24320/46200]	Loss: 0.6652	LR: 0.020000
Training Epoch: 15 [24576/46200]	Loss: 0.7832	LR: 0.020000
Training Epoch: 15 [24832/46200]	Loss: 0.7552	LR: 0.020000
Training Epoch: 15 [25088/46200]	Loss: 0.7295	LR: 0.020000
Training Epoch: 15 [25344/46200]	Loss: 0.8714	LR: 0.020000
Training Epoch: 15 [25600/46200]	Loss: 0.8759	LR: 0.020000
Training Epoch: 15 [25856/46200]	Loss: 0.6514	LR: 0.020000
Training Epoch: 15 [26112/46200]	Loss: 0.8197	LR: 0.020000
Training Epoch: 15 [26368/46200]	Loss: 0.6449	LR: 0.020000
Training Epoch: 15 [26624/46200]	Loss: 0.7993	LR: 0.020000
Training Epoch: 15 [26880/46200]	Loss: 0.8567	LR: 0.020000
Training Epoch: 15 [27136/46200]	Loss: 0.7026	LR: 0.020000
Training Epoch: 15 [27392/46200]	Loss: 0.7122	LR: 0.020000
Training Epoch: 15 [27648/46200]	Loss: 0.7137	LR: 0.020000
Training Epoch: 15 [27904/46200]	Loss: 0.8997	LR: 0.020000
Training Epoch: 15 [28160/46200]	Loss: 0.8160	LR: 0.020000
Training Epoch: 15 [28416/46200]	Loss: 0.7699	LR: 0.020000
Training Epoch: 15 [28672/46200]	Loss: 0.8676	LR: 0.020000
Training Epoch: 15 [28928/46200]	Loss: 0.6905	LR: 0.020000
Training Epoch: 15 [29184/46200]	Loss: 0.7883	LR: 0.020000
Training Epoch: 15 [29440/46200]	Loss: 0.6403	LR: 0.020000
Training Epoch: 15 [29696/46200]	Loss: 0.7823	LR: 0.020000
Training Epoch: 15 [29952/46200]	Loss: 0.8644	LR: 0.020000
Training Epoch: 15 [30208/46200]	Loss: 0.7125	LR: 0.020000
Training Epoch: 15 [30464/46200]	Loss: 0.7620	LR: 0.020000
Training Epoch: 15 [30720/46200]	Loss: 0.7172	LR: 0.020000
Training Epoch: 15 [30976/46200]	Loss: 0.7727	LR: 0.020000
Training Epoch: 15 [31232/46200]	Loss: 0.7442	LR: 0.020000
Training Epoch: 15 [31488/46200]	Loss: 0.6951	LR: 0.020000
Training Epoch: 15 [31744/46200]	Loss: 0.8413	LR: 0.020000
Training Epoch: 15 [32000/46200]	Loss: 0.7844	LR: 0.020000
Training Epoch: 15 [32256/46200]	Loss: 0.6552	LR: 0.020000
Training Epoch: 15 [32512/46200]	Loss: 0.7809	LR: 0.020000
Training Epoch: 15 [32768/46200]	Loss: 0.7884	LR: 0.020000
Training Epoch: 15 [33024/46200]	Loss: 0.6629	LR: 0.020000
Training Epoch: 15 [33280/46200]	Loss: 0.7381	LR: 0.020000
Training Epoch: 15 [33536/46200]	Loss: 0.9197	LR: 0.020000
Training Epoch: 15 [33792/46200]	Loss: 0.6873	LR: 0.020000
Training Epoch: 15 [34048/46200]	Loss: 0.7940	LR: 0.020000
Training Epoch: 15 [34304/46200]	Loss: 0.7919	LR: 0.020000
Training Epoch: 15 [34560/46200]	Loss: 0.6594	LR: 0.020000
Training Epoch: 15 [34816/46200]	Loss: 0.7457	LR: 0.020000
Training Epoch: 15 [35072/46200]	Loss: 0.7595	LR: 0.020000
Training Epoch: 15 [35328/46200]	Loss: 0.9722	LR: 0.020000
Training Epoch: 15 [35584/46200]	Loss: 0.8058	LR: 0.020000
Training Epoch: 15 [35840/46200]	Loss: 0.8381	LR: 0.020000
Training Epoch: 15 [36096/46200]	Loss: 0.7912	LR: 0.020000
Training Epoch: 15 [36352/46200]	Loss: 0.7690	LR: 0.020000
Training Epoch: 15 [36608/46200]	Loss: 0.6724	LR: 0.020000
Training Epoch: 15 [36864/46200]	Loss: 0.6738	LR: 0.020000
Training Epoch: 15 [37120/46200]	Loss: 0.8308	LR: 0.020000
Training Epoch: 15 [37376/46200]	Loss: 0.7334	LR: 0.020000
Training Epoch: 15 [37632/46200]	Loss: 0.7278	LR: 0.020000
Training Epoch: 15 [37888/46200]	Loss: 0.6131	LR: 0.020000
Training Epoch: 15 [38144/46200]	Loss: 0.8450	LR: 0.020000
Training Epoch: 15 [38400/46200]	Loss: 0.8001	LR: 0.020000
Training Epoch: 15 [38656/46200]	Loss: 0.7228	LR: 0.020000
Training Epoch: 15 [38912/46200]	Loss: 0.8152	LR: 0.020000
Training Epoch: 15 [39168/46200]	Loss: 0.7942	LR: 0.020000
Training Epoch: 15 [39424/46200]	Loss: 0.7526	LR: 0.020000
Training Epoch: 15 [39680/46200]	Loss: 0.7644	LR: 0.020000
Training Epoch: 15 [39936/46200]	Loss: 0.6892	LR: 0.020000
Training Epoch: 15 [40192/46200]	Loss: 0.7022	LR: 0.020000
Training Epoch: 15 [40448/46200]	Loss: 0.6527	LR: 0.020000
Training Epoch: 15 [40704/46200]	Loss: 0.7974	LR: 0.020000
Training Epoch: 15 [40960/46200]	Loss: 0.8017	LR: 0.020000
Training Epoch: 15 [41216/46200]	Loss: 0.6776	LR: 0.020000
Training Epoch: 15 [41472/46200]	Loss: 0.7513	LR: 0.020000
Training Epoch: 15 [41728/46200]	Loss: 0.7743	LR: 0.020000
Training Epoch: 15 [41984/46200]	Loss: 0.7019	LR: 0.020000
Training Epoch: 15 [42240/46200]	Loss: 0.6254	LR: 0.020000
Training Epoch: 15 [42496/46200]	Loss: 0.8135	LR: 0.020000
Training Epoch: 15 [42752/46200]	Loss: 0.7665	LR: 0.020000
Training Epoch: 15 [43008/46200]	Loss: 0.7601	LR: 0.020000
Training Epoch: 15 [43264/46200]	Loss: 0.8164	LR: 0.020000
Training Epoch: 15 [43520/46200]	Loss: 0.8264	LR: 0.020000
Training Epoch: 15 [43776/46200]	Loss: 0.7427	LR: 0.020000
Training Epoch: 15 [44032/46200]	Loss: 0.6975	LR: 0.020000
Training Epoch: 15 [44288/46200]	Loss: 0.7386	LR: 0.020000
Training Epoch: 15 [44544/46200]	Loss: 0.6481	LR: 0.020000
Training Epoch: 15 [44800/46200]	Loss: 0.7870	LR: 0.020000
Training Epoch: 15 [45056/46200]	Loss: 0.7071	LR: 0.020000
Training Epoch: 15 [45312/46200]	Loss: 0.7564	LR: 0.020000
Training Epoch: 15 [45568/46200]	Loss: 0.7964	LR: 0.020000
Training Epoch: 15 [45824/46200]	Loss: 0.8359	LR: 0.020000
Training Epoch: 15 [46080/46200]	Loss: 0.7684	LR: 0.020000
Training Epoch: 15 [46200/46200]	Loss: 0.6460	LR: 0.020000
Epoch 15 - Average Train Loss: 0.7882, Train Accuracy: 0.7492
Epoch 15 training time consumed: 25.26s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0035, Accuracy: 0.7254, Time consumed:0.84s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_18h_30m_43s/AllCNN-Cifar20-seed8-ret25-15-best.pth
Training Epoch: 16 [256/46200]	Loss: 0.6615	LR: 0.020000
Training Epoch: 16 [512/46200]	Loss: 0.7238	LR: 0.020000
Training Epoch: 16 [768/46200]	Loss: 0.7051	LR: 0.020000
Training Epoch: 16 [1024/46200]	Loss: 0.7407	LR: 0.020000
Training Epoch: 16 [1280/46200]	Loss: 0.6963	LR: 0.020000
Training Epoch: 16 [1536/46200]	Loss: 0.7008	LR: 0.020000
Training Epoch: 16 [1792/46200]	Loss: 0.6698	LR: 0.020000
Training Epoch: 16 [2048/46200]	Loss: 0.6265	LR: 0.020000
Training Epoch: 16 [2304/46200]	Loss: 0.6690	LR: 0.020000
Training Epoch: 16 [2560/46200]	Loss: 0.6949	LR: 0.020000
Training Epoch: 16 [2816/46200]	Loss: 0.7639	LR: 0.020000
Training Epoch: 16 [3072/46200]	Loss: 0.6426	LR: 0.020000
Training Epoch: 16 [3328/46200]	Loss: 0.8211	LR: 0.020000
Training Epoch: 16 [3584/46200]	Loss: 0.7528	LR: 0.020000
Training Epoch: 16 [3840/46200]	Loss: 0.7231	LR: 0.020000
Training Epoch: 16 [4096/46200]	Loss: 0.6584	LR: 0.020000
Training Epoch: 16 [4352/46200]	Loss: 0.6859	LR: 0.020000
Training Epoch: 16 [4608/46200]	Loss: 0.6917	LR: 0.020000
Training Epoch: 16 [4864/46200]	Loss: 0.7507	LR: 0.020000
Training Epoch: 16 [5120/46200]	Loss: 0.7230	LR: 0.020000
Training Epoch: 16 [5376/46200]	Loss: 0.6036	LR: 0.020000
Training Epoch: 16 [5632/46200]	Loss: 0.6283	LR: 0.020000
Training Epoch: 16 [5888/46200]	Loss: 0.6879	LR: 0.020000
Training Epoch: 16 [6144/46200]	Loss: 0.7112	LR: 0.020000
Training Epoch: 16 [6400/46200]	Loss: 0.6095	LR: 0.020000
Training Epoch: 16 [6656/46200]	Loss: 0.7916	LR: 0.020000
Training Epoch: 16 [6912/46200]	Loss: 0.7225	LR: 0.020000
Training Epoch: 16 [7168/46200]	Loss: 0.6491	LR: 0.020000
Training Epoch: 16 [7424/46200]	Loss: 0.6930	LR: 0.020000
Training Epoch: 16 [7680/46200]	Loss: 0.7590	LR: 0.020000
Training Epoch: 16 [7936/46200]	Loss: 0.7460	LR: 0.020000
Training Epoch: 16 [8192/46200]	Loss: 0.6455	LR: 0.020000
Training Epoch: 16 [8448/46200]	Loss: 0.7056	LR: 0.020000
Training Epoch: 16 [8704/46200]	Loss: 0.8467	LR: 0.020000
Training Epoch: 16 [8960/46200]	Loss: 0.6897	LR: 0.020000
Training Epoch: 16 [9216/46200]	Loss: 0.6122	LR: 0.020000
Training Epoch: 16 [9472/46200]	Loss: 0.6923	LR: 0.020000
Training Epoch: 16 [9728/46200]	Loss: 0.8151	LR: 0.020000
Training Epoch: 16 [9984/46200]	Loss: 0.7933	LR: 0.020000
Training Epoch: 16 [10240/46200]	Loss: 0.8333	LR: 0.020000
Training Epoch: 16 [10496/46200]	Loss: 0.7424	LR: 0.020000
Training Epoch: 16 [10752/46200]	Loss: 0.7241	LR: 0.020000
Training Epoch: 16 [11008/46200]	Loss: 0.7296	LR: 0.020000
Training Epoch: 16 [11264/46200]	Loss: 0.7497	LR: 0.020000
Training Epoch: 16 [11520/46200]	Loss: 0.7560	LR: 0.020000
Training Epoch: 16 [11776/46200]	Loss: 0.7484	LR: 0.020000
Training Epoch: 16 [12032/46200]	Loss: 0.7704	LR: 0.020000
Training Epoch: 16 [12288/46200]	Loss: 0.7466	LR: 0.020000
Training Epoch: 16 [12544/46200]	Loss: 0.7731	LR: 0.020000
Training Epoch: 16 [12800/46200]	Loss: 0.6812	LR: 0.020000
Training Epoch: 16 [13056/46200]	Loss: 0.8837	LR: 0.020000
Training Epoch: 16 [13312/46200]	Loss: 0.7371	LR: 0.020000
Training Epoch: 16 [13568/46200]	Loss: 0.8093	LR: 0.020000
Training Epoch: 16 [13824/46200]	Loss: 0.8340	LR: 0.020000
Training Epoch: 16 [14080/46200]	Loss: 0.7280	LR: 0.020000
Training Epoch: 16 [14336/46200]	Loss: 0.6778	LR: 0.020000
Training Epoch: 16 [14592/46200]	Loss: 0.6232	LR: 0.020000
Training Epoch: 16 [14848/46200]	Loss: 0.7845	LR: 0.020000
Training Epoch: 16 [15104/46200]	Loss: 0.6637	LR: 0.020000
Training Epoch: 16 [15360/46200]	Loss: 0.7257	LR: 0.020000
Training Epoch: 16 [15616/46200]	Loss: 0.7290	LR: 0.020000
Training Epoch: 16 [15872/46200]	Loss: 0.7821	LR: 0.020000
Training Epoch: 16 [16128/46200]	Loss: 0.7269	LR: 0.020000
Training Epoch: 16 [16384/46200]	Loss: 0.6573	LR: 0.020000
Training Epoch: 16 [16640/46200]	Loss: 0.6932	LR: 0.020000
Training Epoch: 16 [16896/46200]	Loss: 0.6917	LR: 0.020000
Training Epoch: 16 [17152/46200]	Loss: 0.6603	LR: 0.020000
Training Epoch: 16 [17408/46200]	Loss: 0.6453	LR: 0.020000
Training Epoch: 16 [17664/46200]	Loss: 0.6535	LR: 0.020000
Training Epoch: 16 [17920/46200]	Loss: 0.7706	LR: 0.020000
Training Epoch: 16 [18176/46200]	Loss: 0.7714	LR: 0.020000
Training Epoch: 16 [18432/46200]	Loss: 0.7503	LR: 0.020000
Training Epoch: 16 [18688/46200]	Loss: 0.5861	LR: 0.020000
Training Epoch: 16 [18944/46200]	Loss: 0.6458	LR: 0.020000
Training Epoch: 16 [19200/46200]	Loss: 0.7278	LR: 0.020000
Training Epoch: 16 [19456/46200]	Loss: 0.7347	LR: 0.020000
Training Epoch: 16 [19712/46200]	Loss: 0.7199	LR: 0.020000
Training Epoch: 16 [19968/46200]	Loss: 0.6594	LR: 0.020000
Training Epoch: 16 [20224/46200]	Loss: 0.7494	LR: 0.020000
Training Epoch: 16 [20480/46200]	Loss: 0.8185	LR: 0.020000
Training Epoch: 16 [20736/46200]	Loss: 0.6310	LR: 0.020000
Training Epoch: 16 [20992/46200]	Loss: 0.7230	LR: 0.020000
Training Epoch: 16 [21248/46200]	Loss: 0.7019	LR: 0.020000
Training Epoch: 16 [21504/46200]	Loss: 0.5559	LR: 0.020000
Training Epoch: 16 [21760/46200]	Loss: 0.6801	LR: 0.020000
Training Epoch: 16 [22016/46200]	Loss: 0.6877	LR: 0.020000
Training Epoch: 16 [22272/46200]	Loss: 0.5605	LR: 0.020000
Training Epoch: 16 [22528/46200]	Loss: 0.6998	LR: 0.020000
Training Epoch: 16 [22784/46200]	Loss: 0.6468	LR: 0.020000
Training Epoch: 16 [23040/46200]	Loss: 0.7341	LR: 0.020000
Training Epoch: 16 [23296/46200]	Loss: 0.7708	LR: 0.020000
Training Epoch: 16 [23552/46200]	Loss: 0.6316	LR: 0.020000
Training Epoch: 16 [23808/46200]	Loss: 0.7588	LR: 0.020000
Training Epoch: 16 [24064/46200]	Loss: 0.7632	LR: 0.020000
Training Epoch: 16 [24320/46200]	Loss: 0.7534	LR: 0.020000
Training Epoch: 16 [24576/46200]	Loss: 0.7203	LR: 0.020000
Training Epoch: 16 [24832/46200]	Loss: 0.7537	LR: 0.020000
Training Epoch: 16 [25088/46200]	Loss: 0.6896	LR: 0.020000
Training Epoch: 16 [25344/46200]	Loss: 0.7281	LR: 0.020000
Training Epoch: 16 [25600/46200]	Loss: 0.6754	LR: 0.020000
Training Epoch: 16 [25856/46200]	Loss: 0.7321	LR: 0.020000
Training Epoch: 16 [26112/46200]	Loss: 0.7235	LR: 0.020000
Training Epoch: 16 [26368/46200]	Loss: 0.6308	LR: 0.020000
Training Epoch: 16 [26624/46200]	Loss: 0.7286	LR: 0.020000
Training Epoch: 16 [26880/46200]	Loss: 0.7620	LR: 0.020000
Training Epoch: 16 [27136/46200]	Loss: 0.7486	LR: 0.020000
Training Epoch: 16 [27392/46200]	Loss: 0.7964	LR: 0.020000
Training Epoch: 16 [27648/46200]	Loss: 0.6873	LR: 0.020000
Training Epoch: 16 [27904/46200]	Loss: 0.7353	LR: 0.020000
Training Epoch: 16 [28160/46200]	Loss: 0.7138	LR: 0.020000
Training Epoch: 16 [28416/46200]	Loss: 0.6495	LR: 0.020000
Training Epoch: 16 [28672/46200]	Loss: 0.6159	LR: 0.020000
Training Epoch: 16 [28928/46200]	Loss: 0.6841	LR: 0.020000
Training Epoch: 16 [29184/46200]	Loss: 0.7318	LR: 0.020000
Training Epoch: 16 [29440/46200]	Loss: 0.6018	LR: 0.020000
Training Epoch: 16 [29696/46200]	Loss: 0.6181	LR: 0.020000
Training Epoch: 16 [29952/46200]	Loss: 0.7217	LR: 0.020000
Training Epoch: 16 [30208/46200]	Loss: 0.7082	LR: 0.020000
Training Epoch: 16 [30464/46200]	Loss: 0.7390	LR: 0.020000
Training Epoch: 16 [30720/46200]	Loss: 0.9013	LR: 0.020000
Training Epoch: 16 [30976/46200]	Loss: 0.6943	LR: 0.020000
Training Epoch: 16 [31232/46200]	Loss: 0.7505	LR: 0.020000
Training Epoch: 16 [31488/46200]	Loss: 0.8471	LR: 0.020000
Training Epoch: 16 [31744/46200]	Loss: 0.7023	LR: 0.020000
Training Epoch: 16 [32000/46200]	Loss: 0.6544	LR: 0.020000
Training Epoch: 16 [32256/46200]	Loss: 0.6715	LR: 0.020000
Training Epoch: 16 [32512/46200]	Loss: 0.7221	LR: 0.020000
Training Epoch: 16 [32768/46200]	Loss: 0.7631	LR: 0.020000
Training Epoch: 16 [33024/46200]	Loss: 0.7756	LR: 0.020000
Training Epoch: 16 [33280/46200]	Loss: 0.6319	LR: 0.020000
Training Epoch: 16 [33536/46200]	Loss: 0.7963	LR: 0.020000
Training Epoch: 16 [33792/46200]	Loss: 0.7000	LR: 0.020000
Training Epoch: 16 [34048/46200]	Loss: 0.8178	LR: 0.020000
Training Epoch: 16 [34304/46200]	Loss: 0.7321	LR: 0.020000
Training Epoch: 16 [34560/46200]	Loss: 0.6581	LR: 0.020000
Training Epoch: 16 [34816/46200]	Loss: 0.6201	LR: 0.020000
Training Epoch: 16 [35072/46200]	Loss: 0.7234	LR: 0.020000
Training Epoch: 16 [35328/46200]	Loss: 0.7263	LR: 0.020000
Training Epoch: 16 [35584/46200]	Loss: 0.7508	LR: 0.020000
Training Epoch: 16 [35840/46200]	Loss: 0.7716	LR: 0.020000
Training Epoch: 16 [36096/46200]	Loss: 0.7762	LR: 0.020000
Training Epoch: 16 [36352/46200]	Loss: 0.6758	LR: 0.020000
Training Epoch: 16 [36608/46200]	Loss: 0.7584	LR: 0.020000
Training Epoch: 16 [36864/46200]	Loss: 0.6194	LR: 0.020000
Training Epoch: 16 [37120/46200]	Loss: 0.6311	LR: 0.020000
Training Epoch: 16 [37376/46200]	Loss: 0.7048	LR: 0.020000
Training Epoch: 16 [37632/46200]	Loss: 0.6220	LR: 0.020000
Training Epoch: 16 [37888/46200]	Loss: 0.8048	LR: 0.020000
Training Epoch: 16 [38144/46200]	Loss: 0.7026	LR: 0.020000
Training Epoch: 16 [38400/46200]	Loss: 0.6644	LR: 0.020000
Training Epoch: 16 [38656/46200]	Loss: 0.6922	LR: 0.020000
Training Epoch: 16 [38912/46200]	Loss: 0.7709	LR: 0.020000
Training Epoch: 16 [39168/46200]	Loss: 0.7221	LR: 0.020000
Training Epoch: 16 [39424/46200]	Loss: 0.6394	LR: 0.020000
Training Epoch: 16 [39680/46200]	Loss: 0.6847	LR: 0.020000
Training Epoch: 16 [39936/46200]	Loss: 0.7308	LR: 0.020000
Training Epoch: 16 [40192/46200]	Loss: 0.5416	LR: 0.020000
Training Epoch: 16 [40448/46200]	Loss: 0.7427	LR: 0.020000
Training Epoch: 16 [40704/46200]	Loss: 0.8038	LR: 0.020000
Training Epoch: 16 [40960/46200]	Loss: 0.6873	LR: 0.020000
Training Epoch: 16 [41216/46200]	Loss: 0.8297	LR: 0.020000
Training Epoch: 16 [41472/46200]	Loss: 0.6624	LR: 0.020000
Training Epoch: 16 [41728/46200]	Loss: 0.7534	LR: 0.020000
Training Epoch: 16 [41984/46200]	Loss: 0.6798	LR: 0.020000
Training Epoch: 16 [42240/46200]	Loss: 0.6241	LR: 0.020000
Training Epoch: 16 [42496/46200]	Loss: 0.6546	LR: 0.020000
Training Epoch: 16 [42752/46200]	Loss: 0.7631	LR: 0.020000
Training Epoch: 16 [43008/46200]	Loss: 0.7236	LR: 0.020000
Training Epoch: 16 [43264/46200]	Loss: 0.7753	LR: 0.020000
Training Epoch: 16 [43520/46200]	Loss: 0.6759	LR: 0.020000
Training Epoch: 16 [43776/46200]	Loss: 0.7703	LR: 0.020000
Training Epoch: 16 [44032/46200]	Loss: 0.7748	LR: 0.020000
Training Epoch: 16 [44288/46200]	Loss: 0.7614	LR: 0.020000
Training Epoch: 16 [44544/46200]	Loss: 0.7366	LR: 0.020000
Training Epoch: 16 [44800/46200]	Loss: 0.7144	LR: 0.020000
Training Epoch: 16 [45056/46200]	Loss: 0.6432	LR: 0.020000
Training Epoch: 16 [45312/46200]	Loss: 0.6983	LR: 0.020000
Training Epoch: 16 [45568/46200]	Loss: 0.6349	LR: 0.020000
Training Epoch: 16 [45824/46200]	Loss: 0.7700	LR: 0.020000
Training Epoch: 16 [46080/46200]	Loss: 0.7292	LR: 0.020000
Training Epoch: 16 [46200/46200]	Loss: 0.6767	LR: 0.020000
Epoch 16 - Average Train Loss: 0.7130, Train Accuracy: 0.7722
Epoch 16 training time consumed: 25.12s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0033, Accuracy: 0.7411, Time consumed:0.84s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_18h_30m_43s/AllCNN-Cifar20-seed8-ret25-16-best.pth
Training Epoch: 17 [256/46200]	Loss: 0.6062	LR: 0.020000
Training Epoch: 17 [512/46200]	Loss: 0.6351	LR: 0.020000
Training Epoch: 17 [768/46200]	Loss: 0.6601	LR: 0.020000
Training Epoch: 17 [1024/46200]	Loss: 0.6714	LR: 0.020000
Training Epoch: 17 [1280/46200]	Loss: 0.7348	LR: 0.020000
Training Epoch: 17 [1536/46200]	Loss: 0.7403	LR: 0.020000
Training Epoch: 17 [1792/46200]	Loss: 0.5340	LR: 0.020000
Training Epoch: 17 [2048/46200]	Loss: 0.6243	LR: 0.020000
Training Epoch: 17 [2304/46200]	Loss: 0.5668	LR: 0.020000
Training Epoch: 17 [2560/46200]	Loss: 0.6146	LR: 0.020000
Training Epoch: 17 [2816/46200]	Loss: 0.7228	LR: 0.020000
Training Epoch: 17 [3072/46200]	Loss: 0.6133	LR: 0.020000
Training Epoch: 17 [3328/46200]	Loss: 0.6549	LR: 0.020000
Training Epoch: 17 [3584/46200]	Loss: 0.7890	LR: 0.020000
Training Epoch: 17 [3840/46200]	Loss: 0.6731	LR: 0.020000
Training Epoch: 17 [4096/46200]	Loss: 0.6137	LR: 0.020000
Training Epoch: 17 [4352/46200]	Loss: 0.7192	LR: 0.020000
Training Epoch: 17 [4608/46200]	Loss: 0.7179	LR: 0.020000
Training Epoch: 17 [4864/46200]	Loss: 0.6434	LR: 0.020000
Training Epoch: 17 [5120/46200]	Loss: 0.6470	LR: 0.020000
Training Epoch: 17 [5376/46200]	Loss: 0.7017	LR: 0.020000
Training Epoch: 17 [5632/46200]	Loss: 0.5912	LR: 0.020000
Training Epoch: 17 [5888/46200]	Loss: 0.6652	LR: 0.020000
Training Epoch: 17 [6144/46200]	Loss: 0.5772	LR: 0.020000
Training Epoch: 17 [6400/46200]	Loss: 0.7645	LR: 0.020000
Training Epoch: 17 [6656/46200]	Loss: 0.6527	LR: 0.020000
Training Epoch: 17 [6912/46200]	Loss: 0.7630	LR: 0.020000
Training Epoch: 17 [7168/46200]	Loss: 0.5620	LR: 0.020000
Training Epoch: 17 [7424/46200]	Loss: 0.6342	LR: 0.020000
Training Epoch: 17 [7680/46200]	Loss: 0.6636	LR: 0.020000
Training Epoch: 17 [7936/46200]	Loss: 0.7098	LR: 0.020000
Training Epoch: 17 [8192/46200]	Loss: 0.5393	LR: 0.020000
Training Epoch: 17 [8448/46200]	Loss: 0.6614	LR: 0.020000
Training Epoch: 17 [8704/46200]	Loss: 0.8331	LR: 0.020000
Training Epoch: 17 [8960/46200]	Loss: 0.7086	LR: 0.020000
Training Epoch: 17 [9216/46200]	Loss: 0.6634	LR: 0.020000
Training Epoch: 17 [9472/46200]	Loss: 0.7309	LR: 0.020000
Training Epoch: 17 [9728/46200]	Loss: 0.6305	LR: 0.020000
Training Epoch: 17 [9984/46200]	Loss: 0.7009	LR: 0.020000
Training Epoch: 17 [10240/46200]	Loss: 0.5987	LR: 0.020000
Training Epoch: 17 [10496/46200]	Loss: 0.7121	LR: 0.020000
Training Epoch: 17 [10752/46200]	Loss: 0.6578	LR: 0.020000
Training Epoch: 17 [11008/46200]	Loss: 0.6862	LR: 0.020000
Training Epoch: 17 [11264/46200]	Loss: 0.7137	LR: 0.020000
Training Epoch: 17 [11520/46200]	Loss: 0.6865	LR: 0.020000
Training Epoch: 17 [11776/46200]	Loss: 0.5777	LR: 0.020000
Training Epoch: 17 [12032/46200]	Loss: 0.5842	LR: 0.020000
Training Epoch: 17 [12288/46200]	Loss: 0.7202	LR: 0.020000
Training Epoch: 17 [12544/46200]	Loss: 0.5858	LR: 0.020000
Training Epoch: 17 [12800/46200]	Loss: 0.7154	LR: 0.020000
Training Epoch: 17 [13056/46200]	Loss: 0.6654	LR: 0.020000
Training Epoch: 17 [13312/46200]	Loss: 0.7087	LR: 0.020000
Training Epoch: 17 [13568/46200]	Loss: 0.6942	LR: 0.020000
Training Epoch: 17 [13824/46200]	Loss: 0.6793	LR: 0.020000
Training Epoch: 17 [14080/46200]	Loss: 0.6208	LR: 0.020000
Training Epoch: 17 [14336/46200]	Loss: 0.7020	LR: 0.020000
Training Epoch: 17 [14592/46200]	Loss: 0.5463	LR: 0.020000
Training Epoch: 17 [14848/46200]	Loss: 0.6531	LR: 0.020000
Training Epoch: 17 [15104/46200]	Loss: 0.6363	LR: 0.020000
Training Epoch: 17 [15360/46200]	Loss: 0.7226	LR: 0.020000
Training Epoch: 17 [15616/46200]	Loss: 0.6792	LR: 0.020000
Training Epoch: 17 [15872/46200]	Loss: 0.7133	LR: 0.020000
Training Epoch: 17 [16128/46200]	Loss: 0.6738	LR: 0.020000
Training Epoch: 17 [16384/46200]	Loss: 0.7534	LR: 0.020000
Training Epoch: 17 [16640/46200]	Loss: 0.7538	LR: 0.020000
Training Epoch: 17 [16896/46200]	Loss: 0.8634	LR: 0.020000
Training Epoch: 17 [17152/46200]	Loss: 0.6321	LR: 0.020000
Training Epoch: 17 [17408/46200]	Loss: 0.7443	LR: 0.020000
Training Epoch: 17 [17664/46200]	Loss: 0.7226	LR: 0.020000
Training Epoch: 17 [17920/46200]	Loss: 0.7577	LR: 0.020000
Training Epoch: 17 [18176/46200]	Loss: 0.8018	LR: 0.020000
Training Epoch: 17 [18432/46200]	Loss: 0.6068	LR: 0.020000
Training Epoch: 17 [18688/46200]	Loss: 0.7018	LR: 0.020000
Training Epoch: 17 [18944/46200]	Loss: 0.6487	LR: 0.020000
Training Epoch: 17 [19200/46200]	Loss: 0.5735	LR: 0.020000
Training Epoch: 17 [19456/46200]	Loss: 0.6555	LR: 0.020000
Training Epoch: 17 [19712/46200]	Loss: 0.7780	LR: 0.020000
Training Epoch: 17 [19968/46200]	Loss: 0.7421	LR: 0.020000
Training Epoch: 17 [20224/46200]	Loss: 0.7291	LR: 0.020000
Training Epoch: 17 [20480/46200]	Loss: 0.6549	LR: 0.020000
Training Epoch: 17 [20736/46200]	Loss: 0.7174	LR: 0.020000
Training Epoch: 17 [20992/46200]	Loss: 0.6959	LR: 0.020000
Training Epoch: 17 [21248/46200]	Loss: 0.6549	LR: 0.020000
Training Epoch: 17 [21504/46200]	Loss: 0.7099	LR: 0.020000
Training Epoch: 17 [21760/46200]	Loss: 0.6146	LR: 0.020000
Training Epoch: 17 [22016/46200]	Loss: 0.6410	LR: 0.020000
Training Epoch: 17 [22272/46200]	Loss: 0.5322	LR: 0.020000
Training Epoch: 17 [22528/46200]	Loss: 0.6652	LR: 0.020000
Training Epoch: 17 [22784/46200]	Loss: 0.6741	LR: 0.020000
Training Epoch: 17 [23040/46200]	Loss: 0.7172	LR: 0.020000
Training Epoch: 17 [23296/46200]	Loss: 0.6310	LR: 0.020000
Training Epoch: 17 [23552/46200]	Loss: 0.7606	LR: 0.020000
Training Epoch: 17 [23808/46200]	Loss: 0.6958	LR: 0.020000
Training Epoch: 17 [24064/46200]	Loss: 0.7469	LR: 0.020000
Training Epoch: 17 [24320/46200]	Loss: 0.6647	LR: 0.020000
Training Epoch: 17 [24576/46200]	Loss: 0.6765	LR: 0.020000
Training Epoch: 17 [24832/46200]	Loss: 0.7646	LR: 0.020000
Training Epoch: 17 [25088/46200]	Loss: 0.5155	LR: 0.020000
Training Epoch: 17 [25344/46200]	Loss: 0.7608	LR: 0.020000
Training Epoch: 17 [25600/46200]	Loss: 0.7454	LR: 0.020000
Training Epoch: 17 [25856/46200]	Loss: 0.6378	LR: 0.020000
Training Epoch: 17 [26112/46200]	Loss: 0.7118	LR: 0.020000
Training Epoch: 17 [26368/46200]	Loss: 0.7042	LR: 0.020000
Training Epoch: 17 [26624/46200]	Loss: 0.8051	LR: 0.020000
Training Epoch: 17 [26880/46200]	Loss: 0.7541	LR: 0.020000
Training Epoch: 17 [27136/46200]	Loss: 0.6397	LR: 0.020000
Training Epoch: 17 [27392/46200]	Loss: 0.6766	LR: 0.020000
Training Epoch: 17 [27648/46200]	Loss: 0.7379	LR: 0.020000
Training Epoch: 17 [27904/46200]	Loss: 0.8176	LR: 0.020000
Training Epoch: 17 [28160/46200]	Loss: 0.6443	LR: 0.020000
Training Epoch: 17 [28416/46200]	Loss: 0.5753	LR: 0.020000
Training Epoch: 17 [28672/46200]	Loss: 0.6926	LR: 0.020000
Training Epoch: 17 [28928/46200]	Loss: 0.5962	LR: 0.020000
Training Epoch: 17 [29184/46200]	Loss: 0.7724	LR: 0.020000
Training Epoch: 17 [29440/46200]	Loss: 0.7342	LR: 0.020000
Training Epoch: 17 [29696/46200]	Loss: 0.6303	LR: 0.020000
Training Epoch: 17 [29952/46200]	Loss: 0.8043	LR: 0.020000
Training Epoch: 17 [30208/46200]	Loss: 0.6997	LR: 0.020000
Training Epoch: 17 [30464/46200]	Loss: 0.5952	LR: 0.020000
Training Epoch: 17 [30720/46200]	Loss: 0.5483	LR: 0.020000
Training Epoch: 17 [30976/46200]	Loss: 0.6873	LR: 0.020000
Training Epoch: 17 [31232/46200]	Loss: 0.8026	LR: 0.020000
Training Epoch: 17 [31488/46200]	Loss: 0.6770	LR: 0.020000
Training Epoch: 17 [31744/46200]	Loss: 0.6504	LR: 0.020000
Training Epoch: 17 [32000/46200]	Loss: 0.7067	LR: 0.020000
Training Epoch: 17 [32256/46200]	Loss: 0.7409	LR: 0.020000
Training Epoch: 17 [32512/46200]	Loss: 0.6997	LR: 0.020000
Training Epoch: 17 [32768/46200]	Loss: 0.7038	LR: 0.020000
Training Epoch: 17 [33024/46200]	Loss: 0.7278	LR: 0.020000
Training Epoch: 17 [33280/46200]	Loss: 0.7904	LR: 0.020000
Training Epoch: 17 [33536/46200]	Loss: 0.7472	LR: 0.020000
Training Epoch: 17 [33792/46200]	Loss: 0.7054	LR: 0.020000
Training Epoch: 17 [34048/46200]	Loss: 0.5591	LR: 0.020000
Training Epoch: 17 [34304/46200]	Loss: 0.6740	LR: 0.020000
Training Epoch: 17 [34560/46200]	Loss: 0.5860	LR: 0.020000
Training Epoch: 17 [34816/46200]	Loss: 0.6125	LR: 0.020000
Training Epoch: 17 [35072/46200]	Loss: 0.6901	LR: 0.020000
Training Epoch: 17 [35328/46200]	Loss: 0.6870	LR: 0.020000
Training Epoch: 17 [35584/46200]	Loss: 0.7614	LR: 0.020000
Training Epoch: 17 [35840/46200]	Loss: 0.8428	LR: 0.020000
Training Epoch: 17 [36096/46200]	Loss: 0.7681	LR: 0.020000
Training Epoch: 17 [36352/46200]	Loss: 0.7784	LR: 0.020000
Training Epoch: 17 [36608/46200]	Loss: 0.6628	LR: 0.020000
Training Epoch: 17 [36864/46200]	Loss: 0.6475	LR: 0.020000
Training Epoch: 17 [37120/46200]	Loss: 0.6420	LR: 0.020000
Training Epoch: 17 [37376/46200]	Loss: 0.6763	LR: 0.020000
Training Epoch: 17 [37632/46200]	Loss: 0.6400	LR: 0.020000
Training Epoch: 17 [37888/46200]	Loss: 0.6854	LR: 0.020000
Training Epoch: 17 [38144/46200]	Loss: 0.7366	LR: 0.020000
Training Epoch: 17 [38400/46200]	Loss: 0.7695	LR: 0.020000
Training Epoch: 17 [38656/46200]	Loss: 0.5879	LR: 0.020000
Training Epoch: 17 [38912/46200]	Loss: 0.6827	LR: 0.020000
Training Epoch: 17 [39168/46200]	Loss: 0.6266	LR: 0.020000
Training Epoch: 17 [39424/46200]	Loss: 0.6721	LR: 0.020000
Training Epoch: 17 [39680/46200]	Loss: 0.7676	LR: 0.020000
Training Epoch: 17 [39936/46200]	Loss: 0.6543	LR: 0.020000
Training Epoch: 17 [40192/46200]	Loss: 0.6812	LR: 0.020000
Training Epoch: 17 [40448/46200]	Loss: 0.6323	LR: 0.020000
Training Epoch: 17 [40704/46200]	Loss: 0.6771	LR: 0.020000
Training Epoch: 17 [40960/46200]	Loss: 0.6832	LR: 0.020000
Training Epoch: 17 [41216/46200]	Loss: 0.6747	LR: 0.020000
Training Epoch: 17 [41472/46200]	Loss: 0.5739	LR: 0.020000
Training Epoch: 17 [41728/46200]	Loss: 0.5728	LR: 0.020000
Training Epoch: 17 [41984/46200]	Loss: 0.6508	LR: 0.020000
Training Epoch: 17 [42240/46200]	Loss: 0.5910	LR: 0.020000
Training Epoch: 17 [42496/46200]	Loss: 0.6304	LR: 0.020000
Training Epoch: 17 [42752/46200]	Loss: 0.6911	LR: 0.020000
Training Epoch: 17 [43008/46200]	Loss: 0.6998	LR: 0.020000
Training Epoch: 17 [43264/46200]	Loss: 0.6909	LR: 0.020000
Training Epoch: 17 [43520/46200]	Loss: 0.6758	LR: 0.020000
Training Epoch: 17 [43776/46200]	Loss: 0.6254	LR: 0.020000
Training Epoch: 17 [44032/46200]	Loss: 0.7458	LR: 0.020000
Training Epoch: 17 [44288/46200]	Loss: 0.7587	LR: 0.020000
Training Epoch: 17 [44544/46200]	Loss: 0.6726	LR: 0.020000
Training Epoch: 17 [44800/46200]	Loss: 0.6161	LR: 0.020000
Training Epoch: 17 [45056/46200]	Loss: 0.7195	LR: 0.020000
Training Epoch: 17 [45312/46200]	Loss: 0.7397	LR: 0.020000
Training Epoch: 17 [45568/46200]	Loss: 0.7240	LR: 0.020000
Training Epoch: 17 [45824/46200]	Loss: 0.6990	LR: 0.020000
Training Epoch: 17 [46080/46200]	Loss: 0.7619	LR: 0.020000
Training Epoch: 17 [46200/46200]	Loss: 0.6753	LR: 0.020000
Epoch 17 - Average Train Loss: 0.6810, Train Accuracy: 0.7806
Epoch 17 training time consumed: 25.15s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0033, Accuracy: 0.7422, Time consumed:0.89s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_18h_30m_43s/AllCNN-Cifar20-seed8-ret25-17-best.pth
Training Epoch: 18 [256/46200]	Loss: 0.4997	LR: 0.020000
Training Epoch: 18 [512/46200]	Loss: 0.6534	LR: 0.020000
Training Epoch: 18 [768/46200]	Loss: 0.7402	LR: 0.020000
Training Epoch: 18 [1024/46200]	Loss: 0.6208	LR: 0.020000
Training Epoch: 18 [1280/46200]	Loss: 0.5442	LR: 0.020000
Training Epoch: 18 [1536/46200]	Loss: 0.6268	LR: 0.020000
Training Epoch: 18 [1792/46200]	Loss: 0.6010	LR: 0.020000
Training Epoch: 18 [2048/46200]	Loss: 0.5555	LR: 0.020000
Training Epoch: 18 [2304/46200]	Loss: 0.5271	LR: 0.020000
Training Epoch: 18 [2560/46200]	Loss: 0.6773	LR: 0.020000
Training Epoch: 18 [2816/46200]	Loss: 0.6829	LR: 0.020000
Training Epoch: 18 [3072/46200]	Loss: 0.6360	LR: 0.020000
Training Epoch: 18 [3328/46200]	Loss: 0.6250	LR: 0.020000
Training Epoch: 18 [3584/46200]	Loss: 0.6551	LR: 0.020000
Training Epoch: 18 [3840/46200]	Loss: 0.6927	LR: 0.020000
Training Epoch: 18 [4096/46200]	Loss: 0.6534	LR: 0.020000
Training Epoch: 18 [4352/46200]	Loss: 0.6346	LR: 0.020000
Training Epoch: 18 [4608/46200]	Loss: 0.6204	LR: 0.020000
Training Epoch: 18 [4864/46200]	Loss: 0.6755	LR: 0.020000
Training Epoch: 18 [5120/46200]	Loss: 0.6619	LR: 0.020000
Training Epoch: 18 [5376/46200]	Loss: 0.7066	LR: 0.020000
Training Epoch: 18 [5632/46200]	Loss: 0.6783	LR: 0.020000
Training Epoch: 18 [5888/46200]	Loss: 0.5790	LR: 0.020000
Training Epoch: 18 [6144/46200]	Loss: 0.6996	LR: 0.020000
Training Epoch: 18 [6400/46200]	Loss: 0.6429	LR: 0.020000
Training Epoch: 18 [6656/46200]	Loss: 0.6527	LR: 0.020000
Training Epoch: 18 [6912/46200]	Loss: 0.6232	LR: 0.020000
Training Epoch: 18 [7168/46200]	Loss: 0.6835	LR: 0.020000
Training Epoch: 18 [7424/46200]	Loss: 0.6330	LR: 0.020000
Training Epoch: 18 [7680/46200]	Loss: 0.6944	LR: 0.020000
Training Epoch: 18 [7936/46200]	Loss: 0.6625	LR: 0.020000
Training Epoch: 18 [8192/46200]	Loss: 0.6895	LR: 0.020000
Training Epoch: 18 [8448/46200]	Loss: 0.7131	LR: 0.020000
Training Epoch: 18 [8704/46200]	Loss: 0.5688	LR: 0.020000
Training Epoch: 18 [8960/46200]	Loss: 0.5220	LR: 0.020000
Training Epoch: 18 [9216/46200]	Loss: 0.6760	LR: 0.020000
Training Epoch: 18 [9472/46200]	Loss: 0.6449	LR: 0.020000
Training Epoch: 18 [9728/46200]	Loss: 0.5929	LR: 0.020000
Training Epoch: 18 [9984/46200]	Loss: 0.7519	LR: 0.020000
Training Epoch: 18 [10240/46200]	Loss: 0.6527	LR: 0.020000
Training Epoch: 18 [10496/46200]	Loss: 0.5775	LR: 0.020000
Training Epoch: 18 [10752/46200]	Loss: 0.5558	LR: 0.020000
Training Epoch: 18 [11008/46200]	Loss: 0.5815	LR: 0.020000
Training Epoch: 18 [11264/46200]	Loss: 0.5877	LR: 0.020000
Training Epoch: 18 [11520/46200]	Loss: 0.6722	LR: 0.020000
Training Epoch: 18 [11776/46200]	Loss: 0.6720	LR: 0.020000
Training Epoch: 18 [12032/46200]	Loss: 0.7280	LR: 0.020000
Training Epoch: 18 [12288/46200]	Loss: 0.6461	LR: 0.020000
Training Epoch: 18 [12544/46200]	Loss: 0.6958	LR: 0.020000
Training Epoch: 18 [12800/46200]	Loss: 0.7222	LR: 0.020000
Training Epoch: 18 [13056/46200]	Loss: 0.5300	LR: 0.020000
Training Epoch: 18 [13312/46200]	Loss: 0.6252	LR: 0.020000
Training Epoch: 18 [13568/46200]	Loss: 0.7383	LR: 0.020000
Training Epoch: 18 [13824/46200]	Loss: 0.6613	LR: 0.020000
Training Epoch: 18 [14080/46200]	Loss: 0.5622	LR: 0.020000
Training Epoch: 18 [14336/46200]	Loss: 0.7203	LR: 0.020000
Training Epoch: 18 [14592/46200]	Loss: 0.7235	LR: 0.020000
Training Epoch: 18 [14848/46200]	Loss: 0.7184	LR: 0.020000
Training Epoch: 18 [15104/46200]	Loss: 0.5299	LR: 0.020000
Training Epoch: 18 [15360/46200]	Loss: 0.6134	LR: 0.020000
Training Epoch: 18 [15616/46200]	Loss: 0.6943	LR: 0.020000
Training Epoch: 18 [15872/46200]	Loss: 0.7425	LR: 0.020000
Training Epoch: 18 [16128/46200]	Loss: 0.7685	LR: 0.020000
Training Epoch: 18 [16384/46200]	Loss: 0.6508	LR: 0.020000
Training Epoch: 18 [16640/46200]	Loss: 0.6824	LR: 0.020000
Training Epoch: 18 [16896/46200]	Loss: 0.6908	LR: 0.020000
Training Epoch: 18 [17152/46200]	Loss: 0.6975	LR: 0.020000
Training Epoch: 18 [17408/46200]	Loss: 0.7188	LR: 0.020000
Training Epoch: 18 [17664/46200]	Loss: 0.7181	LR: 0.020000
Training Epoch: 18 [17920/46200]	Loss: 0.6718	LR: 0.020000
Training Epoch: 18 [18176/46200]	Loss: 0.7048	LR: 0.020000
Training Epoch: 18 [18432/46200]	Loss: 0.6449	LR: 0.020000
Training Epoch: 18 [18688/46200]	Loss: 0.6363	LR: 0.020000
Training Epoch: 18 [18944/46200]	Loss: 0.6635	LR: 0.020000
Training Epoch: 18 [19200/46200]	Loss: 0.7429	LR: 0.020000
Training Epoch: 18 [19456/46200]	Loss: 0.7181	LR: 0.020000
Training Epoch: 18 [19712/46200]	Loss: 0.6390	LR: 0.020000
Training Epoch: 18 [19968/46200]	Loss: 0.6452	LR: 0.020000
Training Epoch: 18 [20224/46200]	Loss: 0.6580	LR: 0.020000
Training Epoch: 18 [20480/46200]	Loss: 0.6463	LR: 0.020000
Training Epoch: 18 [20736/46200]	Loss: 0.6126	LR: 0.020000
Training Epoch: 18 [20992/46200]	Loss: 0.6399	LR: 0.020000
Training Epoch: 18 [21248/46200]	Loss: 0.5596	LR: 0.020000
Training Epoch: 18 [21504/46200]	Loss: 0.7142	LR: 0.020000
Training Epoch: 18 [21760/46200]	Loss: 0.7260	LR: 0.020000
Training Epoch: 18 [22016/46200]	Loss: 0.5643	LR: 0.020000
Training Epoch: 18 [22272/46200]	Loss: 0.6734	LR: 0.020000
Training Epoch: 18 [22528/46200]	Loss: 0.7110	LR: 0.020000
Training Epoch: 18 [22784/46200]	Loss: 0.7469	LR: 0.020000
Training Epoch: 18 [23040/46200]	Loss: 0.7161	LR: 0.020000
Training Epoch: 18 [23296/46200]	Loss: 0.6209	LR: 0.020000
Training Epoch: 18 [23552/46200]	Loss: 0.5654	LR: 0.020000
Training Epoch: 18 [23808/46200]	Loss: 0.6580	LR: 0.020000
Training Epoch: 18 [24064/46200]	Loss: 0.5927	LR: 0.020000
Training Epoch: 18 [24320/46200]	Loss: 0.6353	LR: 0.020000
Training Epoch: 18 [24576/46200]	Loss: 0.7578	LR: 0.020000
Training Epoch: 18 [24832/46200]	Loss: 0.6685	LR: 0.020000
Training Epoch: 18 [25088/46200]	Loss: 0.7713	LR: 0.020000
Training Epoch: 18 [25344/46200]	Loss: 0.6087	LR: 0.020000
Training Epoch: 18 [25600/46200]	Loss: 0.6552	LR: 0.020000
Training Epoch: 18 [25856/46200]	Loss: 0.7703	LR: 0.020000
Training Epoch: 18 [26112/46200]	Loss: 0.6511	LR: 0.020000
Training Epoch: 18 [26368/46200]	Loss: 0.6005	LR: 0.020000
Training Epoch: 18 [26624/46200]	Loss: 0.6135	LR: 0.020000
Training Epoch: 18 [26880/46200]	Loss: 0.6045	LR: 0.020000
Training Epoch: 18 [27136/46200]	Loss: 0.7010	LR: 0.020000
Training Epoch: 18 [27392/46200]	Loss: 0.6372	LR: 0.020000
Training Epoch: 18 [27648/46200]	Loss: 0.7012	LR: 0.020000
Training Epoch: 18 [27904/46200]	Loss: 0.7667	LR: 0.020000
Training Epoch: 18 [28160/46200]	Loss: 0.7017	LR: 0.020000
Training Epoch: 18 [28416/46200]	Loss: 0.6008	LR: 0.020000
Training Epoch: 18 [28672/46200]	Loss: 0.6247	LR: 0.020000
Training Epoch: 18 [28928/46200]	Loss: 0.6395	LR: 0.020000
Training Epoch: 18 [29184/46200]	Loss: 0.6637	LR: 0.020000
Training Epoch: 18 [29440/46200]	Loss: 0.5897	LR: 0.020000
Training Epoch: 18 [29696/46200]	Loss: 0.7540	LR: 0.020000
Training Epoch: 18 [29952/46200]	Loss: 0.5941	LR: 0.020000
Training Epoch: 18 [30208/46200]	Loss: 0.6398	LR: 0.020000
Training Epoch: 18 [30464/46200]	Loss: 0.7672	LR: 0.020000
Training Epoch: 18 [30720/46200]	Loss: 0.6251	LR: 0.020000
Training Epoch: 18 [30976/46200]	Loss: 0.7045	LR: 0.020000
Training Epoch: 18 [31232/46200]	Loss: 0.6903	LR: 0.020000
Training Epoch: 18 [31488/46200]	Loss: 0.5767	LR: 0.020000
Training Epoch: 18 [31744/46200]	Loss: 0.4778	LR: 0.020000
Training Epoch: 18 [32000/46200]	Loss: 0.7820	LR: 0.020000
Training Epoch: 18 [32256/46200]	Loss: 0.5763	LR: 0.020000
Training Epoch: 18 [32512/46200]	Loss: 0.8031	LR: 0.020000
Training Epoch: 18 [32768/46200]	Loss: 0.6958	LR: 0.020000
Training Epoch: 18 [33024/46200]	Loss: 0.5757	LR: 0.020000
Training Epoch: 18 [33280/46200]	Loss: 0.6171	LR: 0.020000
Training Epoch: 18 [33536/46200]	Loss: 0.7486	LR: 0.020000
Training Epoch: 18 [33792/46200]	Loss: 0.5922	LR: 0.020000
Training Epoch: 18 [34048/46200]	Loss: 0.7217	LR: 0.020000
Training Epoch: 18 [34304/46200]	Loss: 0.6872	LR: 0.020000
Training Epoch: 18 [34560/46200]	Loss: 0.6404	LR: 0.020000
Training Epoch: 18 [34816/46200]	Loss: 0.5711	LR: 0.020000
Training Epoch: 18 [35072/46200]	Loss: 0.6622	LR: 0.020000
Training Epoch: 18 [35328/46200]	Loss: 0.7265	LR: 0.020000
Training Epoch: 18 [35584/46200]	Loss: 0.6178	LR: 0.020000
Training Epoch: 18 [35840/46200]	Loss: 0.6376	LR: 0.020000
Training Epoch: 18 [36096/46200]	Loss: 0.5032	LR: 0.020000
Training Epoch: 18 [36352/46200]	Loss: 0.6607	LR: 0.020000
Training Epoch: 18 [36608/46200]	Loss: 0.7163	LR: 0.020000
Training Epoch: 18 [36864/46200]	Loss: 0.7241	LR: 0.020000
Training Epoch: 18 [37120/46200]	Loss: 0.6807	LR: 0.020000
Training Epoch: 18 [37376/46200]	Loss: 0.6088	LR: 0.020000
Training Epoch: 18 [37632/46200]	Loss: 0.6191	LR: 0.020000
Training Epoch: 18 [37888/46200]	Loss: 0.6015	LR: 0.020000
Training Epoch: 18 [38144/46200]	Loss: 0.7390	LR: 0.020000
Training Epoch: 18 [38400/46200]	Loss: 0.6513	LR: 0.020000
Training Epoch: 18 [38656/46200]	Loss: 0.6221	LR: 0.020000
Training Epoch: 18 [38912/46200]	Loss: 0.5761	LR: 0.020000
Training Epoch: 18 [39168/46200]	Loss: 0.6620	LR: 0.020000
Training Epoch: 18 [39424/46200]	Loss: 0.6564	LR: 0.020000
Training Epoch: 18 [39680/46200]	Loss: 0.6520	LR: 0.020000
Training Epoch: 18 [39936/46200]	Loss: 0.6431	LR: 0.020000
Training Epoch: 18 [40192/46200]	Loss: 0.7263	LR: 0.020000
Training Epoch: 18 [40448/46200]	Loss: 0.6778	LR: 0.020000
Training Epoch: 18 [40704/46200]	Loss: 0.6290	LR: 0.020000
Training Epoch: 18 [40960/46200]	Loss: 0.6845	LR: 0.020000
Training Epoch: 18 [41216/46200]	Loss: 0.5955	LR: 0.020000
Training Epoch: 18 [41472/46200]	Loss: 0.7519	LR: 0.020000
Training Epoch: 18 [41728/46200]	Loss: 0.6985	LR: 0.020000
Training Epoch: 18 [41984/46200]	Loss: 0.5570	LR: 0.020000
Training Epoch: 18 [42240/46200]	Loss: 0.8379	LR: 0.020000
Training Epoch: 18 [42496/46200]	Loss: 0.6809	LR: 0.020000
Training Epoch: 18 [42752/46200]	Loss: 0.8268	LR: 0.020000
Training Epoch: 18 [43008/46200]	Loss: 0.6754	LR: 0.020000
Training Epoch: 18 [43264/46200]	Loss: 0.6776	LR: 0.020000
Training Epoch: 18 [43520/46200]	Loss: 0.6672	LR: 0.020000
Training Epoch: 18 [43776/46200]	Loss: 0.5854	LR: 0.020000
Training Epoch: 18 [44032/46200]	Loss: 0.6473	LR: 0.020000
Training Epoch: 18 [44288/46200]	Loss: 0.7050	LR: 0.020000
Training Epoch: 18 [44544/46200]	Loss: 0.5861	LR: 0.020000
Training Epoch: 18 [44800/46200]	Loss: 0.6328	LR: 0.020000
Training Epoch: 18 [45056/46200]	Loss: 0.5983	LR: 0.020000
Training Epoch: 18 [45312/46200]	Loss: 0.5073	LR: 0.020000
Training Epoch: 18 [45568/46200]	Loss: 0.7418	LR: 0.020000
Training Epoch: 18 [45824/46200]	Loss: 0.5977	LR: 0.020000
Training Epoch: 18 [46080/46200]	Loss: 0.6308	LR: 0.020000
Training Epoch: 18 [46200/46200]	Loss: 0.5192	LR: 0.020000
Epoch 18 - Average Train Loss: 0.6554, Train Accuracy: 0.7897
Epoch 18 training time consumed: 25.21s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0034, Accuracy: 0.7374, Time consumed:0.85s
Training Epoch: 19 [256/46200]	Loss: 0.5666	LR: 0.020000
Training Epoch: 19 [512/46200]	Loss: 0.5632	LR: 0.020000
Training Epoch: 19 [768/46200]	Loss: 0.6733	LR: 0.020000
Training Epoch: 19 [1024/46200]	Loss: 0.5706	LR: 0.020000
Training Epoch: 19 [1280/46200]	Loss: 0.5459	LR: 0.020000
Training Epoch: 19 [1536/46200]	Loss: 0.5541	LR: 0.020000
Training Epoch: 19 [1792/46200]	Loss: 0.7060	LR: 0.020000
Training Epoch: 19 [2048/46200]	Loss: 0.5176	LR: 0.020000
Training Epoch: 19 [2304/46200]	Loss: 0.6915	LR: 0.020000
Training Epoch: 19 [2560/46200]	Loss: 0.6417	LR: 0.020000
Training Epoch: 19 [2816/46200]	Loss: 0.6296	LR: 0.020000
Training Epoch: 19 [3072/46200]	Loss: 0.6128	LR: 0.020000
Training Epoch: 19 [3328/46200]	Loss: 0.5635	LR: 0.020000
Training Epoch: 19 [3584/46200]	Loss: 0.6263	LR: 0.020000
Training Epoch: 19 [3840/46200]	Loss: 0.5739	LR: 0.020000
Training Epoch: 19 [4096/46200]	Loss: 0.6233	LR: 0.020000
Training Epoch: 19 [4352/46200]	Loss: 0.5999	LR: 0.020000
Training Epoch: 19 [4608/46200]	Loss: 0.6447	LR: 0.020000
Training Epoch: 19 [4864/46200]	Loss: 0.6381	LR: 0.020000
Training Epoch: 19 [5120/46200]	Loss: 0.7000	LR: 0.020000
Training Epoch: 19 [5376/46200]	Loss: 0.6535	LR: 0.020000
Training Epoch: 19 [5632/46200]	Loss: 0.6063	LR: 0.020000
Training Epoch: 19 [5888/46200]	Loss: 0.6596	LR: 0.020000
Training Epoch: 19 [6144/46200]	Loss: 0.5716	LR: 0.020000
Training Epoch: 19 [6400/46200]	Loss: 0.5350	LR: 0.020000
Training Epoch: 19 [6656/46200]	Loss: 0.6814	LR: 0.020000
Training Epoch: 19 [6912/46200]	Loss: 0.6039	LR: 0.020000
Training Epoch: 19 [7168/46200]	Loss: 0.6042	LR: 0.020000
Training Epoch: 19 [7424/46200]	Loss: 0.6771	LR: 0.020000
Training Epoch: 19 [7680/46200]	Loss: 0.7149	LR: 0.020000
Training Epoch: 19 [7936/46200]	Loss: 0.7296	LR: 0.020000
Training Epoch: 19 [8192/46200]	Loss: 0.5863	LR: 0.020000
Training Epoch: 19 [8448/46200]	Loss: 0.6697	LR: 0.020000
Training Epoch: 19 [8704/46200]	Loss: 0.4763	LR: 0.020000
Training Epoch: 19 [8960/46200]	Loss: 0.5932	LR: 0.020000
Training Epoch: 19 [9216/46200]	Loss: 0.5905	LR: 0.020000
Training Epoch: 19 [9472/46200]	Loss: 0.6827	LR: 0.020000
Training Epoch: 19 [9728/46200]	Loss: 0.6838	LR: 0.020000
Training Epoch: 19 [9984/46200]	Loss: 0.6759	LR: 0.020000
Training Epoch: 19 [10240/46200]	Loss: 0.7034	LR: 0.020000
Training Epoch: 19 [10496/46200]	Loss: 0.5662	LR: 0.020000
Training Epoch: 19 [10752/46200]	Loss: 0.5472	LR: 0.020000
Training Epoch: 19 [11008/46200]	Loss: 0.5767	LR: 0.020000
Training Epoch: 19 [11264/46200]	Loss: 0.6710	LR: 0.020000
Training Epoch: 19 [11520/46200]	Loss: 0.6711	LR: 0.020000
Training Epoch: 19 [11776/46200]	Loss: 0.6133	LR: 0.020000
Training Epoch: 19 [12032/46200]	Loss: 0.7008	LR: 0.020000
Training Epoch: 19 [12288/46200]	Loss: 0.6766	LR: 0.020000
Training Epoch: 19 [12544/46200]	Loss: 0.6513	LR: 0.020000
Training Epoch: 19 [12800/46200]	Loss: 0.6161	LR: 0.020000
Training Epoch: 19 [13056/46200]	Loss: 0.7618	LR: 0.020000
Training Epoch: 19 [13312/46200]	Loss: 0.6670	LR: 0.020000
Training Epoch: 19 [13568/46200]	Loss: 0.5500	LR: 0.020000
Training Epoch: 19 [13824/46200]	Loss: 0.6278	LR: 0.020000
Training Epoch: 19 [14080/46200]	Loss: 0.5958	LR: 0.020000
Training Epoch: 19 [14336/46200]	Loss: 0.5706	LR: 0.020000
Training Epoch: 19 [14592/46200]	Loss: 0.5319	LR: 0.020000
Training Epoch: 19 [14848/46200]	Loss: 0.6752	LR: 0.020000
Training Epoch: 19 [15104/46200]	Loss: 0.6028	LR: 0.020000
Training Epoch: 19 [15360/46200]	Loss: 0.6377	LR: 0.020000
Training Epoch: 19 [15616/46200]	Loss: 0.5795	LR: 0.020000
Training Epoch: 19 [15872/46200]	Loss: 0.6514	LR: 0.020000
Training Epoch: 19 [16128/46200]	Loss: 0.5826	LR: 0.020000
Training Epoch: 19 [16384/46200]	Loss: 0.6389	LR: 0.020000
Training Epoch: 19 [16640/46200]	Loss: 0.5909	LR: 0.020000
Training Epoch: 19 [16896/46200]	Loss: 0.6776	LR: 0.020000
Training Epoch: 19 [17152/46200]	Loss: 0.6387	LR: 0.020000
Training Epoch: 19 [17408/46200]	Loss: 0.6771	LR: 0.020000
Training Epoch: 19 [17664/46200]	Loss: 0.6751	LR: 0.020000
Training Epoch: 19 [17920/46200]	Loss: 0.5722	LR: 0.020000
Training Epoch: 19 [18176/46200]	Loss: 0.5379	LR: 0.020000
Training Epoch: 19 [18432/46200]	Loss: 0.6158	LR: 0.020000
Training Epoch: 19 [18688/46200]	Loss: 0.6353	LR: 0.020000
Training Epoch: 19 [18944/46200]	Loss: 0.5532	LR: 0.020000
Training Epoch: 19 [19200/46200]	Loss: 0.7042	LR: 0.020000
Training Epoch: 19 [19456/46200]	Loss: 0.6354	LR: 0.020000
Training Epoch: 19 [19712/46200]	Loss: 0.5607	LR: 0.020000
Training Epoch: 19 [19968/46200]	Loss: 0.5789	LR: 0.020000
Training Epoch: 19 [20224/46200]	Loss: 0.6670	LR: 0.020000
Training Epoch: 19 [20480/46200]	Loss: 0.6698	LR: 0.020000
Training Epoch: 19 [20736/46200]	Loss: 0.6041	LR: 0.020000
Training Epoch: 19 [20992/46200]	Loss: 0.6226	LR: 0.020000
Training Epoch: 19 [21248/46200]	Loss: 0.4842	LR: 0.020000
Training Epoch: 19 [21504/46200]	Loss: 0.5193	LR: 0.020000
Training Epoch: 19 [21760/46200]	Loss: 0.6904	LR: 0.020000
Training Epoch: 19 [22016/46200]	Loss: 0.7056	LR: 0.020000
Training Epoch: 19 [22272/46200]	Loss: 0.5826	LR: 0.020000
Training Epoch: 19 [22528/46200]	Loss: 0.6395	LR: 0.020000
Training Epoch: 19 [22784/46200]	Loss: 0.6058	LR: 0.020000
Training Epoch: 19 [23040/46200]	Loss: 0.6484	LR: 0.020000
Training Epoch: 19 [23296/46200]	Loss: 0.5807	LR: 0.020000
Training Epoch: 19 [23552/46200]	Loss: 0.7321	LR: 0.020000
Training Epoch: 19 [23808/46200]	Loss: 0.5156	LR: 0.020000
Training Epoch: 19 [24064/46200]	Loss: 0.6480	LR: 0.020000
Training Epoch: 19 [24320/46200]	Loss: 0.5338	LR: 0.020000
Training Epoch: 19 [24576/46200]	Loss: 0.5296	LR: 0.020000
Training Epoch: 19 [24832/46200]	Loss: 0.6260	LR: 0.020000
Training Epoch: 19 [25088/46200]	Loss: 0.6558	LR: 0.020000
Training Epoch: 19 [25344/46200]	Loss: 0.5725	LR: 0.020000
Training Epoch: 19 [25600/46200]	Loss: 0.6155	LR: 0.020000
Training Epoch: 19 [25856/46200]	Loss: 0.7242	LR: 0.020000
Training Epoch: 19 [26112/46200]	Loss: 0.7631	LR: 0.020000
Training Epoch: 19 [26368/46200]	Loss: 0.6816	LR: 0.020000
Training Epoch: 19 [26624/46200]	Loss: 0.6137	LR: 0.020000
Training Epoch: 19 [26880/46200]	Loss: 0.7155	LR: 0.020000
Training Epoch: 19 [27136/46200]	Loss: 0.6920	LR: 0.020000
Training Epoch: 19 [27392/46200]	Loss: 0.6857	LR: 0.020000
Training Epoch: 19 [27648/46200]	Loss: 0.5778	LR: 0.020000
Training Epoch: 19 [27904/46200]	Loss: 0.7040	LR: 0.020000
Training Epoch: 19 [28160/46200]	Loss: 0.6954	LR: 0.020000
Training Epoch: 19 [28416/46200]	Loss: 0.7077	LR: 0.020000
Training Epoch: 19 [28672/46200]	Loss: 0.6594	LR: 0.020000
Training Epoch: 19 [28928/46200]	Loss: 0.6540	LR: 0.020000
Training Epoch: 19 [29184/46200]	Loss: 0.6107	LR: 0.020000
Training Epoch: 19 [29440/46200]	Loss: 0.6588	LR: 0.020000
Training Epoch: 19 [29696/46200]	Loss: 0.7057	LR: 0.020000
Training Epoch: 19 [29952/46200]	Loss: 0.6430	LR: 0.020000
Training Epoch: 19 [30208/46200]	Loss: 0.6133	LR: 0.020000
Training Epoch: 19 [30464/46200]	Loss: 0.6986	LR: 0.020000
Training Epoch: 19 [30720/46200]	Loss: 0.6577	LR: 0.020000
Training Epoch: 19 [30976/46200]	Loss: 0.6572	LR: 0.020000
Training Epoch: 19 [31232/46200]	Loss: 0.6028	LR: 0.020000
Training Epoch: 19 [31488/46200]	Loss: 0.6695	LR: 0.020000
Training Epoch: 19 [31744/46200]	Loss: 0.5559	LR: 0.020000
Training Epoch: 19 [32000/46200]	Loss: 0.5988	LR: 0.020000
Training Epoch: 19 [32256/46200]	Loss: 0.6683	LR: 0.020000
Training Epoch: 19 [32512/46200]	Loss: 0.8234	LR: 0.020000
Training Epoch: 19 [32768/46200]	Loss: 0.6987	LR: 0.020000
Training Epoch: 19 [33024/46200]	Loss: 0.6865	LR: 0.020000
Training Epoch: 19 [33280/46200]	Loss: 0.6599	LR: 0.020000
Training Epoch: 19 [33536/46200]	Loss: 0.6149	LR: 0.020000
Training Epoch: 19 [33792/46200]	Loss: 0.5685	LR: 0.020000
Training Epoch: 19 [34048/46200]	Loss: 0.6057	LR: 0.020000
Training Epoch: 19 [34304/46200]	Loss: 0.6433	LR: 0.020000
Training Epoch: 19 [34560/46200]	Loss: 0.6630	LR: 0.020000
Training Epoch: 19 [34816/46200]	Loss: 0.6970	LR: 0.020000
Training Epoch: 19 [35072/46200]	Loss: 0.6719	LR: 0.020000
Training Epoch: 19 [35328/46200]	Loss: 0.6574	LR: 0.020000
Training Epoch: 19 [35584/46200]	Loss: 0.5577	LR: 0.020000
Training Epoch: 19 [35840/46200]	Loss: 0.6319	LR: 0.020000
Training Epoch: 19 [36096/46200]	Loss: 0.6412	LR: 0.020000
Training Epoch: 19 [36352/46200]	Loss: 0.6443	LR: 0.020000
Training Epoch: 19 [36608/46200]	Loss: 0.6073	LR: 0.020000
Training Epoch: 19 [36864/46200]	Loss: 0.5745	LR: 0.020000
Training Epoch: 19 [37120/46200]	Loss: 0.6509	LR: 0.020000
Training Epoch: 19 [37376/46200]	Loss: 0.6512	LR: 0.020000
Training Epoch: 19 [37632/46200]	Loss: 0.6131	LR: 0.020000
Training Epoch: 19 [37888/46200]	Loss: 0.6311	LR: 0.020000
Training Epoch: 19 [38144/46200]	Loss: 0.6058	LR: 0.020000
Training Epoch: 19 [38400/46200]	Loss: 0.5420	LR: 0.020000
Training Epoch: 19 [38656/46200]	Loss: 0.6402	LR: 0.020000
Training Epoch: 19 [38912/46200]	Loss: 0.6301	LR: 0.020000
Training Epoch: 19 [39168/46200]	Loss: 0.7094	LR: 0.020000
Training Epoch: 19 [39424/46200]	Loss: 0.8513	LR: 0.020000
Training Epoch: 19 [39680/46200]	Loss: 0.6127	LR: 0.020000
Training Epoch: 19 [39936/46200]	Loss: 0.5749	LR: 0.020000
Training Epoch: 19 [40192/46200]	Loss: 0.8040	LR: 0.020000
Training Epoch: 19 [40448/46200]	Loss: 0.6245	LR: 0.020000
Training Epoch: 19 [40704/46200]	Loss: 0.5786	LR: 0.020000
Training Epoch: 19 [40960/46200]	Loss: 0.6873	LR: 0.020000
Training Epoch: 19 [41216/46200]	Loss: 0.5707	LR: 0.020000
Training Epoch: 19 [41472/46200]	Loss: 0.5295	LR: 0.020000
Training Epoch: 19 [41728/46200]	Loss: 0.5924	LR: 0.020000
Training Epoch: 19 [41984/46200]	Loss: 0.6596	LR: 0.020000
Training Epoch: 19 [42240/46200]	Loss: 0.6616	LR: 0.020000
Training Epoch: 19 [42496/46200]	Loss: 0.6580	LR: 0.020000
Training Epoch: 19 [42752/46200]	Loss: 0.8055	LR: 0.020000
Training Epoch: 19 [43008/46200]	Loss: 0.7482	LR: 0.020000
Training Epoch: 19 [43264/46200]	Loss: 0.6729	LR: 0.020000
Training Epoch: 19 [43520/46200]	Loss: 0.6604	LR: 0.020000
Training Epoch: 19 [43776/46200]	Loss: 0.6787	LR: 0.020000
Training Epoch: 19 [44032/46200]	Loss: 0.8028	LR: 0.020000
Training Epoch: 19 [44288/46200]	Loss: 0.7243	LR: 0.020000
Training Epoch: 19 [44544/46200]	Loss: 0.6648	LR: 0.020000
Training Epoch: 19 [44800/46200]	Loss: 0.5204	LR: 0.020000
Training Epoch: 19 [45056/46200]	Loss: 0.5766	LR: 0.020000
Training Epoch: 19 [45312/46200]	Loss: 0.6965	LR: 0.020000
Training Epoch: 19 [45568/46200]	Loss: 0.6039	LR: 0.020000
Training Epoch: 19 [45824/46200]	Loss: 0.5151	LR: 0.020000
Training Epoch: 19 [46080/46200]	Loss: 0.6418	LR: 0.020000
Training Epoch: 19 [46200/46200]	Loss: 0.5977	LR: 0.020000
Epoch 19 - Average Train Loss: 0.6347, Train Accuracy: 0.7949
Epoch 19 training time consumed: 25.60s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0035, Accuracy: 0.7294, Time consumed:0.89s
Training Epoch: 20 [256/46200]	Loss: 0.6609	LR: 0.020000
Training Epoch: 20 [512/46200]	Loss: 0.6100	LR: 0.020000
Training Epoch: 20 [768/46200]	Loss: 0.6022	LR: 0.020000
Training Epoch: 20 [1024/46200]	Loss: 0.6126	LR: 0.020000
Training Epoch: 20 [1280/46200]	Loss: 0.5905	LR: 0.020000
Training Epoch: 20 [1536/46200]	Loss: 0.6276	LR: 0.020000
Training Epoch: 20 [1792/46200]	Loss: 0.5267	LR: 0.020000
Training Epoch: 20 [2048/46200]	Loss: 0.6213	LR: 0.020000
Training Epoch: 20 [2304/46200]	Loss: 0.5470	LR: 0.020000
Training Epoch: 20 [2560/46200]	Loss: 0.6552	LR: 0.020000
Training Epoch: 20 [2816/46200]	Loss: 0.5616	LR: 0.020000
Training Epoch: 20 [3072/46200]	Loss: 0.5402	LR: 0.020000
Training Epoch: 20 [3328/46200]	Loss: 0.6663	LR: 0.020000
Training Epoch: 20 [3584/46200]	Loss: 0.5288	LR: 0.020000
Training Epoch: 20 [3840/46200]	Loss: 0.6413	LR: 0.020000
Training Epoch: 20 [4096/46200]	Loss: 0.5530	LR: 0.020000
Training Epoch: 20 [4352/46200]	Loss: 0.5610	LR: 0.020000
Training Epoch: 20 [4608/46200]	Loss: 0.6272	LR: 0.020000
Training Epoch: 20 [4864/46200]	Loss: 0.5016	LR: 0.020000
Training Epoch: 20 [5120/46200]	Loss: 0.5483	LR: 0.020000
Training Epoch: 20 [5376/46200]	Loss: 0.5908	LR: 0.020000
Training Epoch: 20 [5632/46200]	Loss: 0.6293	LR: 0.020000
Training Epoch: 20 [5888/46200]	Loss: 0.6201	LR: 0.020000
Training Epoch: 20 [6144/46200]	Loss: 0.6336	LR: 0.020000
Training Epoch: 20 [6400/46200]	Loss: 0.5522	LR: 0.020000
Training Epoch: 20 [6656/46200]	Loss: 0.6951	LR: 0.020000
Training Epoch: 20 [6912/46200]	Loss: 0.6593	LR: 0.020000
Training Epoch: 20 [7168/46200]	Loss: 0.5487	LR: 0.020000
Training Epoch: 20 [7424/46200]	Loss: 0.6259	LR: 0.020000
Training Epoch: 20 [7680/46200]	Loss: 0.6435	LR: 0.020000
Training Epoch: 20 [7936/46200]	Loss: 0.6420	LR: 0.020000
Training Epoch: 20 [8192/46200]	Loss: 0.6162	LR: 0.020000
Training Epoch: 20 [8448/46200]	Loss: 0.6081	LR: 0.020000
Training Epoch: 20 [8704/46200]	Loss: 0.7039	LR: 0.020000
Training Epoch: 20 [8960/46200]	Loss: 0.7063	LR: 0.020000
Training Epoch: 20 [9216/46200]	Loss: 0.6347	LR: 0.020000
Training Epoch: 20 [9472/46200]	Loss: 0.5788	LR: 0.020000
Training Epoch: 20 [9728/46200]	Loss: 0.6682	LR: 0.020000
Training Epoch: 20 [9984/46200]	Loss: 0.6331	LR: 0.020000
Training Epoch: 20 [10240/46200]	Loss: 0.5573	LR: 0.020000
Training Epoch: 20 [10496/46200]	Loss: 0.5624	LR: 0.020000
Training Epoch: 20 [10752/46200]	Loss: 0.7854	LR: 0.020000
Training Epoch: 20 [11008/46200]	Loss: 0.6218	LR: 0.020000
Training Epoch: 20 [11264/46200]	Loss: 0.5940	LR: 0.020000
Training Epoch: 20 [11520/46200]	Loss: 0.6025	LR: 0.020000
Training Epoch: 20 [11776/46200]	Loss: 0.6681	LR: 0.020000
Training Epoch: 20 [12032/46200]	Loss: 0.5648	LR: 0.020000
Training Epoch: 20 [12288/46200]	Loss: 0.4911	LR: 0.020000
Training Epoch: 20 [12544/46200]	Loss: 0.6408	LR: 0.020000
Training Epoch: 20 [12800/46200]	Loss: 0.5922	LR: 0.020000
Training Epoch: 20 [13056/46200]	Loss: 0.6054	LR: 0.020000
Training Epoch: 20 [13312/46200]	Loss: 0.6168	LR: 0.020000
Training Epoch: 20 [13568/46200]	Loss: 0.5932	LR: 0.020000
Training Epoch: 20 [13824/46200]	Loss: 0.6356	LR: 0.020000
Training Epoch: 20 [14080/46200]	Loss: 0.7191	LR: 0.020000
Training Epoch: 20 [14336/46200]	Loss: 0.5805	LR: 0.020000
Training Epoch: 20 [14592/46200]	Loss: 0.6354	LR: 0.020000
Training Epoch: 20 [14848/46200]	Loss: 0.5261	LR: 0.020000
Training Epoch: 20 [15104/46200]	Loss: 0.6428	LR: 0.020000
Training Epoch: 20 [15360/46200]	Loss: 0.6170	LR: 0.020000
Training Epoch: 20 [15616/46200]	Loss: 0.5832	LR: 0.020000
Training Epoch: 20 [15872/46200]	Loss: 0.5670	LR: 0.020000
Training Epoch: 20 [16128/46200]	Loss: 0.5711	LR: 0.020000
Training Epoch: 20 [16384/46200]	Loss: 0.6142	LR: 0.020000
Training Epoch: 20 [16640/46200]	Loss: 0.5822	LR: 0.020000
Training Epoch: 20 [16896/46200]	Loss: 0.5600	LR: 0.020000
Training Epoch: 20 [17152/46200]	Loss: 0.5811	LR: 0.020000
Training Epoch: 20 [17408/46200]	Loss: 0.6411	LR: 0.020000
Training Epoch: 20 [17664/46200]	Loss: 0.5660	LR: 0.020000
Training Epoch: 20 [17920/46200]	Loss: 0.5828	LR: 0.020000
Training Epoch: 20 [18176/46200]	Loss: 0.5533	LR: 0.020000
Training Epoch: 20 [18432/46200]	Loss: 0.6304	LR: 0.020000
Training Epoch: 20 [18688/46200]	Loss: 0.5494	LR: 0.020000
Training Epoch: 20 [18944/46200]	Loss: 0.6020	LR: 0.020000
Training Epoch: 20 [19200/46200]	Loss: 0.8202	LR: 0.020000
Training Epoch: 20 [19456/46200]	Loss: 0.6388	LR: 0.020000
Training Epoch: 20 [19712/46200]	Loss: 0.6466	LR: 0.020000
Training Epoch: 20 [19968/46200]	Loss: 0.6430	LR: 0.020000
Training Epoch: 20 [20224/46200]	Loss: 0.6508	LR: 0.020000
Training Epoch: 20 [20480/46200]	Loss: 0.5922	LR: 0.020000
Training Epoch: 20 [20736/46200]	Loss: 0.5886	LR: 0.020000
Training Epoch: 20 [20992/46200]	Loss: 0.5559	LR: 0.020000
Training Epoch: 20 [21248/46200]	Loss: 0.7437	LR: 0.020000
Training Epoch: 20 [21504/46200]	Loss: 0.7164	LR: 0.020000
Training Epoch: 20 [21760/46200]	Loss: 0.7424	LR: 0.020000
Training Epoch: 20 [22016/46200]	Loss: 0.5591	LR: 0.020000
Training Epoch: 20 [22272/46200]	Loss: 0.5979	LR: 0.020000
Training Epoch: 20 [22528/46200]	Loss: 0.6094	LR: 0.020000
Training Epoch: 20 [22784/46200]	Loss: 0.5978	LR: 0.020000
Training Epoch: 20 [23040/46200]	Loss: 0.5915	LR: 0.020000
Training Epoch: 20 [23296/46200]	Loss: 0.5842	LR: 0.020000
Training Epoch: 20 [23552/46200]	Loss: 0.6258	LR: 0.020000
Training Epoch: 20 [23808/46200]	Loss: 0.6252	LR: 0.020000
Training Epoch: 20 [24064/46200]	Loss: 0.6362	LR: 0.020000
Training Epoch: 20 [24320/46200]	Loss: 0.6649	LR: 0.020000
Training Epoch: 20 [24576/46200]	Loss: 0.6347	LR: 0.020000
Training Epoch: 20 [24832/46200]	Loss: 0.6948	LR: 0.020000
Training Epoch: 20 [25088/46200]	Loss: 0.5406	LR: 0.020000
Training Epoch: 20 [25344/46200]	Loss: 0.6881	LR: 0.020000
Training Epoch: 20 [25600/46200]	Loss: 0.5816	LR: 0.020000
Training Epoch: 20 [25856/46200]	Loss: 0.5431	LR: 0.020000
Training Epoch: 20 [26112/46200]	Loss: 0.6063	LR: 0.020000
Training Epoch: 20 [26368/46200]	Loss: 0.5996	LR: 0.020000
Training Epoch: 20 [26624/46200]	Loss: 0.5957	LR: 0.020000
Training Epoch: 20 [26880/46200]	Loss: 0.5204	LR: 0.020000
Training Epoch: 20 [27136/46200]	Loss: 0.6672	LR: 0.020000
Training Epoch: 20 [27392/46200]	Loss: 0.4280	LR: 0.020000
Training Epoch: 20 [27648/46200]	Loss: 0.6661	LR: 0.020000
Training Epoch: 20 [27904/46200]	Loss: 0.5826	LR: 0.020000
Training Epoch: 20 [28160/46200]	Loss: 0.6683	LR: 0.020000
Training Epoch: 20 [28416/46200]	Loss: 0.7092	LR: 0.020000
Training Epoch: 20 [28672/46200]	Loss: 0.6256	LR: 0.020000
Training Epoch: 20 [28928/46200]	Loss: 0.6839	LR: 0.020000
Training Epoch: 20 [29184/46200]	Loss: 0.6808	LR: 0.020000
Training Epoch: 20 [29440/46200]	Loss: 0.5679	LR: 0.020000
Training Epoch: 20 [29696/46200]	Loss: 0.6850	LR: 0.020000
Training Epoch: 20 [29952/46200]	Loss: 0.5963	LR: 0.020000
Training Epoch: 20 [30208/46200]	Loss: 0.7386	LR: 0.020000
Training Epoch: 20 [30464/46200]	Loss: 0.6842	LR: 0.020000
Training Epoch: 20 [30720/46200]	Loss: 0.5824	LR: 0.020000
Training Epoch: 20 [30976/46200]	Loss: 0.6016	LR: 0.020000
Training Epoch: 20 [31232/46200]	Loss: 0.5934	LR: 0.020000
Training Epoch: 20 [31488/46200]	Loss: 0.7379	LR: 0.020000
Training Epoch: 20 [31744/46200]	Loss: 0.6784	LR: 0.020000
Training Epoch: 20 [32000/46200]	Loss: 0.6080	LR: 0.020000
Training Epoch: 20 [32256/46200]	Loss: 0.6861	LR: 0.020000
Training Epoch: 20 [32512/46200]	Loss: 0.5436	LR: 0.020000
Training Epoch: 20 [32768/46200]	Loss: 0.6242	LR: 0.020000
Training Epoch: 20 [33024/46200]	Loss: 0.5919	LR: 0.020000
Training Epoch: 20 [33280/46200]	Loss: 0.6612	LR: 0.020000
Training Epoch: 20 [33536/46200]	Loss: 0.6327	LR: 0.020000
Training Epoch: 20 [33792/46200]	Loss: 0.6155	LR: 0.020000
Training Epoch: 20 [34048/46200]	Loss: 0.6610	LR: 0.020000
Training Epoch: 20 [34304/46200]	Loss: 0.7000	LR: 0.020000
Training Epoch: 20 [34560/46200]	Loss: 0.6630	LR: 0.020000
Training Epoch: 20 [34816/46200]	Loss: 0.6830	LR: 0.020000
Training Epoch: 20 [35072/46200]	Loss: 0.6104	LR: 0.020000
Training Epoch: 20 [35328/46200]	Loss: 0.6726	LR: 0.020000
Training Epoch: 20 [35584/46200]	Loss: 0.7835	LR: 0.020000
Training Epoch: 20 [35840/46200]	Loss: 0.5800	LR: 0.020000
Training Epoch: 20 [36096/46200]	Loss: 0.5786	LR: 0.020000
Training Epoch: 20 [36352/46200]	Loss: 0.7350	LR: 0.020000
Training Epoch: 20 [36608/46200]	Loss: 0.5727	LR: 0.020000
Training Epoch: 20 [36864/46200]	Loss: 0.7147	LR: 0.020000
Training Epoch: 20 [37120/46200]	Loss: 0.6581	LR: 0.020000
Training Epoch: 20 [37376/46200]	Loss: 0.5772	LR: 0.020000
Training Epoch: 20 [37632/46200]	Loss: 0.5461	LR: 0.020000
Training Epoch: 20 [37888/46200]	Loss: 0.5503	LR: 0.020000
Training Epoch: 20 [38144/46200]	Loss: 0.6403	LR: 0.020000
Training Epoch: 20 [38400/46200]	Loss: 0.5529	LR: 0.020000
Training Epoch: 20 [38656/46200]	Loss: 0.6114	LR: 0.020000
Training Epoch: 20 [38912/46200]	Loss: 0.7384	LR: 0.020000
Training Epoch: 20 [39168/46200]	Loss: 0.7098	LR: 0.020000
Training Epoch: 20 [39424/46200]	Loss: 0.6300	LR: 0.020000
Training Epoch: 20 [39680/46200]	Loss: 0.6983	LR: 0.020000
Training Epoch: 20 [39936/46200]	Loss: 0.6827	LR: 0.020000
Training Epoch: 20 [40192/46200]	Loss: 0.6183	LR: 0.020000
Training Epoch: 20 [40448/46200]	Loss: 0.6770	LR: 0.020000
Training Epoch: 20 [40704/46200]	Loss: 0.5015	LR: 0.020000
Training Epoch: 20 [40960/46200]	Loss: 0.6304	LR: 0.020000
Training Epoch: 20 [41216/46200]	Loss: 0.6825	LR: 0.020000
Training Epoch: 20 [41472/46200]	Loss: 0.6054	LR: 0.020000
Training Epoch: 20 [41728/46200]	Loss: 0.5925	LR: 0.020000
Training Epoch: 20 [41984/46200]	Loss: 0.6480	LR: 0.020000
Training Epoch: 20 [42240/46200]	Loss: 0.6645	LR: 0.020000
Training Epoch: 20 [42496/46200]	Loss: 0.6101	LR: 0.020000
Training Epoch: 20 [42752/46200]	Loss: 0.6719	LR: 0.020000
Training Epoch: 20 [43008/46200]	Loss: 0.5962	LR: 0.020000
Training Epoch: 20 [43264/46200]	Loss: 0.5552	LR: 0.020000
Training Epoch: 20 [43520/46200]	Loss: 0.6987	LR: 0.020000
Training Epoch: 20 [43776/46200]	Loss: 0.5051	LR: 0.020000
Training Epoch: 20 [44032/46200]	Loss: 0.6173	LR: 0.020000
Training Epoch: 20 [44288/46200]	Loss: 0.5707	LR: 0.020000
Training Epoch: 20 [44544/46200]	Loss: 0.5954	LR: 0.020000
Training Epoch: 20 [44800/46200]	Loss: 0.5920	LR: 0.020000
Training Epoch: 20 [45056/46200]	Loss: 0.6746	LR: 0.020000
Training Epoch: 20 [45312/46200]	Loss: 0.6311	LR: 0.020000
Training Epoch: 20 [45568/46200]	Loss: 0.4693	LR: 0.020000
Training Epoch: 20 [45824/46200]	Loss: 0.7172	LR: 0.020000
Training Epoch: 20 [46080/46200]	Loss: 0.5673	LR: 0.020000
Training Epoch: 20 [46200/46200]	Loss: 0.6248	LR: 0.020000
Epoch 20 - Average Train Loss: 0.6202, Train Accuracy: 0.8004
Epoch 20 training time consumed: 25.04s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0036, Accuracy: 0.7293, Time consumed:0.87s
Training Epoch: 21 [256/46200]	Loss: 0.5665	LR: 0.020000
Training Epoch: 21 [512/46200]	Loss: 0.5293	LR: 0.020000
Training Epoch: 21 [768/46200]	Loss: 0.6054	LR: 0.020000
Training Epoch: 21 [1024/46200]	Loss: 0.4886	LR: 0.020000
Training Epoch: 21 [1280/46200]	Loss: 0.5002	LR: 0.020000
Training Epoch: 21 [1536/46200]	Loss: 0.6147	LR: 0.020000
Training Epoch: 21 [1792/46200]	Loss: 0.5812	LR: 0.020000
Training Epoch: 21 [2048/46200]	Loss: 0.5823	LR: 0.020000
Training Epoch: 21 [2304/46200]	Loss: 0.5661	LR: 0.020000
Training Epoch: 21 [2560/46200]	Loss: 0.5838	LR: 0.020000
Training Epoch: 21 [2816/46200]	Loss: 0.6113	LR: 0.020000
Training Epoch: 21 [3072/46200]	Loss: 0.3995	LR: 0.020000
Training Epoch: 21 [3328/46200]	Loss: 0.5985	LR: 0.020000
Training Epoch: 21 [3584/46200]	Loss: 0.6192	LR: 0.020000
Training Epoch: 21 [3840/46200]	Loss: 0.5487	LR: 0.020000
Training Epoch: 21 [4096/46200]	Loss: 0.5191	LR: 0.020000
Training Epoch: 21 [4352/46200]	Loss: 0.5644	LR: 0.020000
Training Epoch: 21 [4608/46200]	Loss: 0.5672	LR: 0.020000
Training Epoch: 21 [4864/46200]	Loss: 0.5691	LR: 0.020000
Training Epoch: 21 [5120/46200]	Loss: 0.5838	LR: 0.020000
Training Epoch: 21 [5376/46200]	Loss: 0.5343	LR: 0.020000
Training Epoch: 21 [5632/46200]	Loss: 0.6685	LR: 0.020000
Training Epoch: 21 [5888/46200]	Loss: 0.6065	LR: 0.020000
Training Epoch: 21 [6144/46200]	Loss: 0.5859	LR: 0.020000
Training Epoch: 21 [6400/46200]	Loss: 0.6861	LR: 0.020000
Training Epoch: 21 [6656/46200]	Loss: 0.4899	LR: 0.020000
Training Epoch: 21 [6912/46200]	Loss: 0.5626	LR: 0.020000
Training Epoch: 21 [7168/46200]	Loss: 0.6970	LR: 0.020000
Training Epoch: 21 [7424/46200]	Loss: 0.5692	LR: 0.020000
Training Epoch: 21 [7680/46200]	Loss: 0.5534	LR: 0.020000
Training Epoch: 21 [7936/46200]	Loss: 0.6576	LR: 0.020000
Training Epoch: 21 [8192/46200]	Loss: 0.6290	LR: 0.020000
Training Epoch: 21 [8448/46200]	Loss: 0.6330	LR: 0.020000
Training Epoch: 21 [8704/46200]	Loss: 0.6392	LR: 0.020000
Training Epoch: 21 [8960/46200]	Loss: 0.5116	LR: 0.020000
Training Epoch: 21 [9216/46200]	Loss: 0.5913	LR: 0.020000
Training Epoch: 21 [9472/46200]	Loss: 0.4930	LR: 0.020000
Training Epoch: 21 [9728/46200]	Loss: 0.6170	LR: 0.020000
Training Epoch: 21 [9984/46200]	Loss: 0.6509	LR: 0.020000
Training Epoch: 21 [10240/46200]	Loss: 0.6320	LR: 0.020000
Training Epoch: 21 [10496/46200]	Loss: 0.5648	LR: 0.020000
Training Epoch: 21 [10752/46200]	Loss: 0.6425	LR: 0.020000
Training Epoch: 21 [11008/46200]	Loss: 0.6563	LR: 0.020000
Training Epoch: 21 [11264/46200]	Loss: 0.5547	LR: 0.020000
Training Epoch: 21 [11520/46200]	Loss: 0.5489	LR: 0.020000
Training Epoch: 21 [11776/46200]	Loss: 0.5597	LR: 0.020000
Training Epoch: 21 [12032/46200]	Loss: 0.5689	LR: 0.020000
Training Epoch: 21 [12288/46200]	Loss: 0.5533	LR: 0.020000
Training Epoch: 21 [12544/46200]	Loss: 0.5030	LR: 0.020000
Training Epoch: 21 [12800/46200]	Loss: 0.6650	LR: 0.020000
Training Epoch: 21 [13056/46200]	Loss: 0.6714	LR: 0.020000
Training Epoch: 21 [13312/46200]	Loss: 0.5044	LR: 0.020000
Training Epoch: 21 [13568/46200]	Loss: 0.6225	LR: 0.020000
Training Epoch: 21 [13824/46200]	Loss: 0.5721	LR: 0.020000
Training Epoch: 21 [14080/46200]	Loss: 0.6602	LR: 0.020000
Training Epoch: 21 [14336/46200]	Loss: 0.5074	LR: 0.020000
Training Epoch: 21 [14592/46200]	Loss: 0.5506	LR: 0.020000
Training Epoch: 21 [14848/46200]	Loss: 0.5690	LR: 0.020000
Training Epoch: 21 [15104/46200]	Loss: 0.4892	LR: 0.020000
Training Epoch: 21 [15360/46200]	Loss: 0.5758	LR: 0.020000
Training Epoch: 21 [15616/46200]	Loss: 0.7294	LR: 0.020000
Training Epoch: 21 [15872/46200]	Loss: 0.6208	LR: 0.020000
Training Epoch: 21 [16128/46200]	Loss: 0.6044	LR: 0.020000
Training Epoch: 21 [16384/46200]	Loss: 0.6034	LR: 0.020000
Training Epoch: 21 [16640/46200]	Loss: 0.5849	LR: 0.020000
Training Epoch: 21 [16896/46200]	Loss: 0.6371	LR: 0.020000
Training Epoch: 21 [17152/46200]	Loss: 0.6326	LR: 0.020000
Training Epoch: 21 [17408/46200]	Loss: 0.5640	LR: 0.020000
Training Epoch: 21 [17664/46200]	Loss: 0.6087	LR: 0.020000
Training Epoch: 21 [17920/46200]	Loss: 0.5475	LR: 0.020000
Training Epoch: 21 [18176/46200]	Loss: 0.5474	LR: 0.020000
Training Epoch: 21 [18432/46200]	Loss: 0.5526	LR: 0.020000
Training Epoch: 21 [18688/46200]	Loss: 0.7119	LR: 0.020000
Training Epoch: 21 [18944/46200]	Loss: 0.6902	LR: 0.020000
Training Epoch: 21 [19200/46200]	Loss: 0.6223	LR: 0.020000
Training Epoch: 21 [19456/46200]	Loss: 0.4963	LR: 0.020000
Training Epoch: 21 [19712/46200]	Loss: 0.6259	LR: 0.020000
Training Epoch: 21 [19968/46200]	Loss: 0.5332	LR: 0.020000
Training Epoch: 21 [20224/46200]	Loss: 0.5821	LR: 0.020000
Training Epoch: 21 [20480/46200]	Loss: 0.6279	LR: 0.020000
Training Epoch: 21 [20736/46200]	Loss: 0.6230	LR: 0.020000
Training Epoch: 21 [20992/46200]	Loss: 0.5933	LR: 0.020000
Training Epoch: 21 [21248/46200]	Loss: 0.5805	LR: 0.020000
Training Epoch: 21 [21504/46200]	Loss: 0.5965	LR: 0.020000
Training Epoch: 21 [21760/46200]	Loss: 0.6031	LR: 0.020000
Training Epoch: 21 [22016/46200]	Loss: 0.5645	LR: 0.020000
Training Epoch: 21 [22272/46200]	Loss: 0.7079	LR: 0.020000
Training Epoch: 21 [22528/46200]	Loss: 0.6248	LR: 0.020000
Training Epoch: 21 [22784/46200]	Loss: 0.6998	LR: 0.020000
Training Epoch: 21 [23040/46200]	Loss: 0.6597	LR: 0.020000
Training Epoch: 21 [23296/46200]	Loss: 0.5589	LR: 0.020000
Training Epoch: 21 [23552/46200]	Loss: 0.6762	LR: 0.020000
Training Epoch: 21 [23808/46200]	Loss: 0.6200	LR: 0.020000
Training Epoch: 21 [24064/46200]	Loss: 0.6572	LR: 0.020000
Training Epoch: 21 [24320/46200]	Loss: 0.6777	LR: 0.020000
Training Epoch: 21 [24576/46200]	Loss: 0.6275	LR: 0.020000
Training Epoch: 21 [24832/46200]	Loss: 0.5251	LR: 0.020000
Training Epoch: 21 [25088/46200]	Loss: 0.5809	LR: 0.020000
Training Epoch: 21 [25344/46200]	Loss: 0.7608	LR: 0.020000
Training Epoch: 21 [25600/46200]	Loss: 0.5913	LR: 0.020000
Training Epoch: 21 [25856/46200]	Loss: 0.4726	LR: 0.020000
Training Epoch: 21 [26112/46200]	Loss: 0.5866	LR: 0.020000
Training Epoch: 21 [26368/46200]	Loss: 0.6833	LR: 0.020000
Training Epoch: 21 [26624/46200]	Loss: 0.6269	LR: 0.020000
Training Epoch: 21 [26880/46200]	Loss: 0.5237	LR: 0.020000
Training Epoch: 21 [27136/46200]	Loss: 0.5233	LR: 0.020000
Training Epoch: 21 [27392/46200]	Loss: 0.7099	LR: 0.020000
Training Epoch: 21 [27648/46200]	Loss: 0.6642	LR: 0.020000
Training Epoch: 21 [27904/46200]	Loss: 0.6172	LR: 0.020000
Training Epoch: 21 [28160/46200]	Loss: 0.6070	LR: 0.020000
Training Epoch: 21 [28416/46200]	Loss: 0.5596	LR: 0.020000
Training Epoch: 21 [28672/46200]	Loss: 0.6494	LR: 0.020000
Training Epoch: 21 [28928/46200]	Loss: 0.6851	LR: 0.020000
Training Epoch: 21 [29184/46200]	Loss: 0.6555	LR: 0.020000
Training Epoch: 21 [29440/46200]	Loss: 0.6627	LR: 0.020000
Training Epoch: 21 [29696/46200]	Loss: 0.5925	LR: 0.020000
Training Epoch: 21 [29952/46200]	Loss: 0.6156	LR: 0.020000
Training Epoch: 21 [30208/46200]	Loss: 0.6440	LR: 0.020000
Training Epoch: 21 [30464/46200]	Loss: 0.6301	LR: 0.020000
Training Epoch: 21 [30720/46200]	Loss: 0.5070	LR: 0.020000
Training Epoch: 21 [30976/46200]	Loss: 0.5788	LR: 0.020000
Training Epoch: 21 [31232/46200]	Loss: 0.6599	LR: 0.020000
Training Epoch: 21 [31488/46200]	Loss: 0.6844	LR: 0.020000
Training Epoch: 21 [31744/46200]	Loss: 0.5972	LR: 0.020000
Training Epoch: 21 [32000/46200]	Loss: 0.5731	LR: 0.020000
Training Epoch: 21 [32256/46200]	Loss: 0.4874	LR: 0.020000
Training Epoch: 21 [32512/46200]	Loss: 0.6468	LR: 0.020000
Training Epoch: 21 [32768/46200]	Loss: 0.5862	LR: 0.020000
Training Epoch: 21 [33024/46200]	Loss: 0.6164	LR: 0.020000
Training Epoch: 21 [33280/46200]	Loss: 0.5604	LR: 0.020000
Training Epoch: 21 [33536/46200]	Loss: 0.7480	LR: 0.020000
Training Epoch: 21 [33792/46200]	Loss: 0.5711	LR: 0.020000
Training Epoch: 21 [34048/46200]	Loss: 0.5952	LR: 0.020000
Training Epoch: 21 [34304/46200]	Loss: 0.7055	LR: 0.020000
Training Epoch: 21 [34560/46200]	Loss: 0.6511	LR: 0.020000
Training Epoch: 21 [34816/46200]	Loss: 0.5913	LR: 0.020000
Training Epoch: 21 [35072/46200]	Loss: 0.5785	LR: 0.020000
Training Epoch: 21 [35328/46200]	Loss: 0.6582	LR: 0.020000
Training Epoch: 21 [35584/46200]	Loss: 0.6277	LR: 0.020000
Training Epoch: 21 [35840/46200]	Loss: 0.6042	LR: 0.020000
Training Epoch: 21 [36096/46200]	Loss: 0.6883	LR: 0.020000
Training Epoch: 21 [36352/46200]	Loss: 0.5368	LR: 0.020000
Training Epoch: 21 [36608/46200]	Loss: 0.6281	LR: 0.020000
Training Epoch: 21 [36864/46200]	Loss: 0.5825	LR: 0.020000
Training Epoch: 21 [37120/46200]	Loss: 0.6521	LR: 0.020000
Training Epoch: 21 [37376/46200]	Loss: 0.6154	LR: 0.020000
Training Epoch: 21 [37632/46200]	Loss: 0.7173	LR: 0.020000
Training Epoch: 21 [37888/46200]	Loss: 0.5265	LR: 0.020000
Training Epoch: 21 [38144/46200]	Loss: 0.7368	LR: 0.020000
Training Epoch: 21 [38400/46200]	Loss: 0.5767	LR: 0.020000
Training Epoch: 21 [38656/46200]	Loss: 0.6649	LR: 0.020000
Training Epoch: 21 [38912/46200]	Loss: 0.5289	LR: 0.020000
Training Epoch: 21 [39168/46200]	Loss: 0.6616	LR: 0.020000
Training Epoch: 21 [39424/46200]	Loss: 0.6023	LR: 0.020000
Training Epoch: 21 [39680/46200]	Loss: 0.6195	LR: 0.020000
Training Epoch: 21 [39936/46200]	Loss: 0.5810	LR: 0.020000
Training Epoch: 21 [40192/46200]	Loss: 0.7504	LR: 0.020000
Training Epoch: 21 [40448/46200]	Loss: 0.6316	LR: 0.020000
Training Epoch: 21 [40704/46200]	Loss: 0.5963	LR: 0.020000
Training Epoch: 21 [40960/46200]	Loss: 0.6772	LR: 0.020000
Training Epoch: 21 [41216/46200]	Loss: 0.6289	LR: 0.020000
Training Epoch: 21 [41472/46200]	Loss: 0.6016	LR: 0.020000
Training Epoch: 21 [41728/46200]	Loss: 0.6405	LR: 0.020000
Training Epoch: 21 [41984/46200]	Loss: 0.5971	LR: 0.020000
Training Epoch: 21 [42240/46200]	Loss: 0.5753	LR: 0.020000
Training Epoch: 21 [42496/46200]	Loss: 0.6434	LR: 0.020000
Training Epoch: 21 [42752/46200]	Loss: 0.6696	LR: 0.020000
Training Epoch: 21 [43008/46200]	Loss: 0.5329	LR: 0.020000
Training Epoch: 21 [43264/46200]	Loss: 0.5902	LR: 0.020000
Training Epoch: 21 [43520/46200]	Loss: 0.5629	LR: 0.020000
Training Epoch: 21 [43776/46200]	Loss: 0.7193	LR: 0.020000
Training Epoch: 21 [44032/46200]	Loss: 0.6131	LR: 0.020000
Training Epoch: 21 [44288/46200]	Loss: 0.6326	LR: 0.020000
Training Epoch: 21 [44544/46200]	Loss: 0.7030	LR: 0.020000
Training Epoch: 21 [44800/46200]	Loss: 0.6665	LR: 0.020000
Training Epoch: 21 [45056/46200]	Loss: 0.5435	LR: 0.020000
Training Epoch: 21 [45312/46200]	Loss: 0.5870	LR: 0.020000
Training Epoch: 21 [45568/46200]	Loss: 0.6172	LR: 0.020000
Training Epoch: 21 [45824/46200]	Loss: 0.5798	LR: 0.020000
Training Epoch: 21 [46080/46200]	Loss: 0.7108	LR: 0.020000
Training Epoch: 21 [46200/46200]	Loss: 0.6727	LR: 0.020000
Epoch 21 - Average Train Loss: 0.6053, Train Accuracy: 0.8037
Epoch 21 training time consumed: 25.24s
Evaluating Network.....
Test set: Epoch: 21, Average loss: 0.0035, Accuracy: 0.7402, Time consumed:0.97s
Training Epoch: 22 [256/46200]	Loss: 0.5437	LR: 0.020000
Training Epoch: 22 [512/46200]	Loss: 0.5148	LR: 0.020000
Training Epoch: 22 [768/46200]	Loss: 0.5490	LR: 0.020000
Training Epoch: 22 [1024/46200]	Loss: 0.5752	LR: 0.020000
Training Epoch: 22 [1280/46200]	Loss: 0.5940	LR: 0.020000
Training Epoch: 22 [1536/46200]	Loss: 0.6121	LR: 0.020000
Training Epoch: 22 [1792/46200]	Loss: 0.6109	LR: 0.020000
Training Epoch: 22 [2048/46200]	Loss: 0.5608	LR: 0.020000
Training Epoch: 22 [2304/46200]	Loss: 0.4902	LR: 0.020000
Training Epoch: 22 [2560/46200]	Loss: 0.5417	LR: 0.020000
Training Epoch: 22 [2816/46200]	Loss: 0.6070	LR: 0.020000
Training Epoch: 22 [3072/46200]	Loss: 0.6203	LR: 0.020000
Training Epoch: 22 [3328/46200]	Loss: 0.5674	LR: 0.020000
Training Epoch: 22 [3584/46200]	Loss: 0.5997	LR: 0.020000
Training Epoch: 22 [3840/46200]	Loss: 0.4449	LR: 0.020000
Training Epoch: 22 [4096/46200]	Loss: 0.5722	LR: 0.020000
Training Epoch: 22 [4352/46200]	Loss: 0.6544	LR: 0.020000
Training Epoch: 22 [4608/46200]	Loss: 0.5748	LR: 0.020000
Training Epoch: 22 [4864/46200]	Loss: 0.7174	LR: 0.020000
Training Epoch: 22 [5120/46200]	Loss: 0.6416	LR: 0.020000
Training Epoch: 22 [5376/46200]	Loss: 0.4663	LR: 0.020000
Training Epoch: 22 [5632/46200]	Loss: 0.6323	LR: 0.020000
Training Epoch: 22 [5888/46200]	Loss: 0.5700	LR: 0.020000
Training Epoch: 22 [6144/46200]	Loss: 0.5637	LR: 0.020000
Training Epoch: 22 [6400/46200]	Loss: 0.5735	LR: 0.020000
Training Epoch: 22 [6656/46200]	Loss: 0.6280	LR: 0.020000
Training Epoch: 22 [6912/46200]	Loss: 0.5430	LR: 0.020000
Training Epoch: 22 [7168/46200]	Loss: 0.5200	LR: 0.020000
Training Epoch: 22 [7424/46200]	Loss: 0.5604	LR: 0.020000
Training Epoch: 22 [7680/46200]	Loss: 0.5844	LR: 0.020000
Training Epoch: 22 [7936/46200]	Loss: 0.4947	LR: 0.020000
Training Epoch: 22 [8192/46200]	Loss: 0.5460	LR: 0.020000
Training Epoch: 22 [8448/46200]	Loss: 0.5478	LR: 0.020000
Training Epoch: 22 [8704/46200]	Loss: 0.5265	LR: 0.020000
Training Epoch: 22 [8960/46200]	Loss: 0.5677	LR: 0.020000
Training Epoch: 22 [9216/46200]	Loss: 0.5431	LR: 0.020000
Training Epoch: 22 [9472/46200]	Loss: 0.6663	LR: 0.020000
Training Epoch: 22 [9728/46200]	Loss: 0.5578	LR: 0.020000
Training Epoch: 22 [9984/46200]	Loss: 0.5823	LR: 0.020000
Training Epoch: 22 [10240/46200]	Loss: 0.5978	LR: 0.020000
Training Epoch: 22 [10496/46200]	Loss: 0.5387	LR: 0.020000
Training Epoch: 22 [10752/46200]	Loss: 0.6400	LR: 0.020000
Training Epoch: 22 [11008/46200]	Loss: 0.5696	LR: 0.020000
Training Epoch: 22 [11264/46200]	Loss: 0.5642	LR: 0.020000
Training Epoch: 22 [11520/46200]	Loss: 0.5044	LR: 0.020000
Training Epoch: 22 [11776/46200]	Loss: 0.6185	LR: 0.020000
Training Epoch: 22 [12032/46200]	Loss: 0.4662	LR: 0.020000
Training Epoch: 22 [12288/46200]	Loss: 0.6432	LR: 0.020000
Training Epoch: 22 [12544/46200]	Loss: 0.6255	LR: 0.020000
Training Epoch: 22 [12800/46200]	Loss: 0.6247	LR: 0.020000
Training Epoch: 22 [13056/46200]	Loss: 0.6135	LR: 0.020000
Training Epoch: 22 [13312/46200]	Loss: 0.6377	LR: 0.020000
Training Epoch: 22 [13568/46200]	Loss: 0.6325	LR: 0.020000
Training Epoch: 22 [13824/46200]	Loss: 0.5495	LR: 0.020000
Training Epoch: 22 [14080/46200]	Loss: 0.5059	LR: 0.020000
Training Epoch: 22 [14336/46200]	Loss: 0.7018	LR: 0.020000
Training Epoch: 22 [14592/46200]	Loss: 0.5938	LR: 0.020000
Training Epoch: 22 [14848/46200]	Loss: 0.6184	LR: 0.020000
Training Epoch: 22 [15104/46200]	Loss: 0.5701	LR: 0.020000
Training Epoch: 22 [15360/46200]	Loss: 0.5285	LR: 0.020000
Training Epoch: 22 [15616/46200]	Loss: 0.6296	LR: 0.020000
Training Epoch: 22 [15872/46200]	Loss: 0.6023	LR: 0.020000
Training Epoch: 22 [16128/46200]	Loss: 0.6347	LR: 0.020000
Training Epoch: 22 [16384/46200]	Loss: 0.5945	LR: 0.020000
Training Epoch: 22 [16640/46200]	Loss: 0.6093	LR: 0.020000
Training Epoch: 22 [16896/46200]	Loss: 0.5854	LR: 0.020000
Training Epoch: 22 [17152/46200]	Loss: 0.4970	LR: 0.020000
Training Epoch: 22 [17408/46200]	Loss: 0.5571	LR: 0.020000
Training Epoch: 22 [17664/46200]	Loss: 0.5932	LR: 0.020000
Training Epoch: 22 [17920/46200]	Loss: 0.5142	LR: 0.020000
Training Epoch: 22 [18176/46200]	Loss: 0.5419	LR: 0.020000
Training Epoch: 22 [18432/46200]	Loss: 0.6610	LR: 0.020000
Training Epoch: 22 [18688/46200]	Loss: 0.5845	LR: 0.020000
Training Epoch: 22 [18944/46200]	Loss: 0.6960	LR: 0.020000
Training Epoch: 22 [19200/46200]	Loss: 0.4798	LR: 0.020000
Training Epoch: 22 [19456/46200]	Loss: 0.6567	LR: 0.020000
Training Epoch: 22 [19712/46200]	Loss: 0.5907	LR: 0.020000
Training Epoch: 22 [19968/46200]	Loss: 0.7250	LR: 0.020000
Training Epoch: 22 [20224/46200]	Loss: 0.5124	LR: 0.020000
Training Epoch: 22 [20480/46200]	Loss: 0.6342	LR: 0.020000
Training Epoch: 22 [20736/46200]	Loss: 0.6630	LR: 0.020000
Training Epoch: 22 [20992/46200]	Loss: 0.5828	LR: 0.020000
Training Epoch: 22 [21248/46200]	Loss: 0.6294	LR: 0.020000
Training Epoch: 22 [21504/46200]	Loss: 0.5442	LR: 0.020000
Training Epoch: 22 [21760/46200]	Loss: 0.6564	LR: 0.020000
Training Epoch: 22 [22016/46200]	Loss: 0.6804	LR: 0.020000
Training Epoch: 22 [22272/46200]	Loss: 0.5402	LR: 0.020000
Training Epoch: 22 [22528/46200]	Loss: 0.5663	LR: 0.020000
Training Epoch: 22 [22784/46200]	Loss: 0.5527	LR: 0.020000
Training Epoch: 22 [23040/46200]	Loss: 0.5155	LR: 0.020000
Training Epoch: 22 [23296/46200]	Loss: 0.5765	LR: 0.020000
Training Epoch: 22 [23552/46200]	Loss: 0.5344	LR: 0.020000
Training Epoch: 22 [23808/46200]	Loss: 0.6259	LR: 0.020000
Training Epoch: 22 [24064/46200]	Loss: 0.6105	LR: 0.020000
Training Epoch: 22 [24320/46200]	Loss: 0.6203	LR: 0.020000
Training Epoch: 22 [24576/46200]	Loss: 0.6479	LR: 0.020000
Training Epoch: 22 [24832/46200]	Loss: 0.6006	LR: 0.020000
Training Epoch: 22 [25088/46200]	Loss: 0.5544	LR: 0.020000
Training Epoch: 22 [25344/46200]	Loss: 0.4696	LR: 0.020000
Training Epoch: 22 [25600/46200]	Loss: 0.7379	LR: 0.020000
Training Epoch: 22 [25856/46200]	Loss: 0.5336	LR: 0.020000
Training Epoch: 22 [26112/46200]	Loss: 0.6145	LR: 0.020000
Training Epoch: 22 [26368/46200]	Loss: 0.6036	LR: 0.020000
Training Epoch: 22 [26624/46200]	Loss: 0.7193	LR: 0.020000
Training Epoch: 22 [26880/46200]	Loss: 0.5340	LR: 0.020000
Training Epoch: 22 [27136/46200]	Loss: 0.5368	LR: 0.020000
Training Epoch: 22 [27392/46200]	Loss: 0.5767	LR: 0.020000
Training Epoch: 22 [27648/46200]	Loss: 0.5234	LR: 0.020000
Training Epoch: 22 [27904/46200]	Loss: 0.7467	LR: 0.020000
Training Epoch: 22 [28160/46200]	Loss: 0.6518	LR: 0.020000
Training Epoch: 22 [28416/46200]	Loss: 0.5785	LR: 0.020000
Training Epoch: 22 [28672/46200]	Loss: 0.5356	LR: 0.020000
Training Epoch: 22 [28928/46200]	Loss: 0.5618	LR: 0.020000
Training Epoch: 22 [29184/46200]	Loss: 0.5440	LR: 0.020000
Training Epoch: 22 [29440/46200]	Loss: 0.6694	LR: 0.020000
Training Epoch: 22 [29696/46200]	Loss: 0.7167	LR: 0.020000
Training Epoch: 22 [29952/46200]	Loss: 0.5815	LR: 0.020000
Training Epoch: 22 [30208/46200]	Loss: 0.6080	LR: 0.020000
Training Epoch: 22 [30464/46200]	Loss: 0.6179	LR: 0.020000
Training Epoch: 22 [30720/46200]	Loss: 0.6877	LR: 0.020000
Training Epoch: 22 [30976/46200]	Loss: 0.6088	LR: 0.020000
Training Epoch: 22 [31232/46200]	Loss: 0.6831	LR: 0.020000
Training Epoch: 22 [31488/46200]	Loss: 0.6437	LR: 0.020000
Training Epoch: 22 [31744/46200]	Loss: 0.5712	LR: 0.020000
Training Epoch: 22 [32000/46200]	Loss: 0.6650	LR: 0.020000
Training Epoch: 22 [32256/46200]	Loss: 0.6482	LR: 0.020000
Training Epoch: 22 [32512/46200]	Loss: 0.6280	LR: 0.020000
Training Epoch: 22 [32768/46200]	Loss: 0.5062	LR: 0.020000
Training Epoch: 22 [33024/46200]	Loss: 0.5577	LR: 0.020000
Training Epoch: 22 [33280/46200]	Loss: 0.6371	LR: 0.020000
Training Epoch: 22 [33536/46200]	Loss: 0.6009	LR: 0.020000
Training Epoch: 22 [33792/46200]	Loss: 0.5248	LR: 0.020000
Training Epoch: 22 [34048/46200]	Loss: 0.5574	LR: 0.020000
Training Epoch: 22 [34304/46200]	Loss: 0.6000	LR: 0.020000
Training Epoch: 22 [34560/46200]	Loss: 0.5991	LR: 0.020000
Training Epoch: 22 [34816/46200]	Loss: 0.6544	LR: 0.020000
Training Epoch: 22 [35072/46200]	Loss: 0.6154	LR: 0.020000
Training Epoch: 22 [35328/46200]	Loss: 0.5921	LR: 0.020000
Training Epoch: 22 [35584/46200]	Loss: 0.5852	LR: 0.020000
Training Epoch: 22 [35840/46200]	Loss: 0.5917	LR: 0.020000
Training Epoch: 22 [36096/46200]	Loss: 0.6226	LR: 0.020000
Training Epoch: 22 [36352/46200]	Loss: 0.5791	LR: 0.020000
Training Epoch: 22 [36608/46200]	Loss: 0.6144	LR: 0.020000
Training Epoch: 22 [36864/46200]	Loss: 0.5284	LR: 0.020000
Training Epoch: 22 [37120/46200]	Loss: 0.6340	LR: 0.020000
Training Epoch: 22 [37376/46200]	Loss: 0.6505	LR: 0.020000
Training Epoch: 22 [37632/46200]	Loss: 0.6628	LR: 0.020000
Training Epoch: 22 [37888/46200]	Loss: 0.6773	LR: 0.020000
Training Epoch: 22 [38144/46200]	Loss: 0.6410	LR: 0.020000
Training Epoch: 22 [38400/46200]	Loss: 0.5693	LR: 0.020000
Training Epoch: 22 [38656/46200]	Loss: 0.4711	LR: 0.020000
Training Epoch: 22 [38912/46200]	Loss: 0.6235	LR: 0.020000
Training Epoch: 22 [39168/46200]	Loss: 0.5370	LR: 0.020000
Training Epoch: 22 [39424/46200]	Loss: 0.5937	LR: 0.020000
Training Epoch: 22 [39680/46200]	Loss: 0.5896	LR: 0.020000
Training Epoch: 22 [39936/46200]	Loss: 0.6234	LR: 0.020000
Training Epoch: 22 [40192/46200]	Loss: 0.6625	LR: 0.020000
Training Epoch: 22 [40448/46200]	Loss: 0.6096	LR: 0.020000
Training Epoch: 22 [40704/46200]	Loss: 0.4770	LR: 0.020000
Training Epoch: 22 [40960/46200]	Loss: 0.5073	LR: 0.020000
Training Epoch: 22 [41216/46200]	Loss: 0.6041	LR: 0.020000
Training Epoch: 22 [41472/46200]	Loss: 0.6961	LR: 0.020000
Training Epoch: 22 [41728/46200]	Loss: 0.7277	LR: 0.020000
Training Epoch: 22 [41984/46200]	Loss: 0.5708	LR: 0.020000
Training Epoch: 22 [42240/46200]	Loss: 0.7169	LR: 0.020000
Training Epoch: 22 [42496/46200]	Loss: 0.6010	LR: 0.020000
Training Epoch: 22 [42752/46200]	Loss: 0.6018	LR: 0.020000
Training Epoch: 22 [43008/46200]	Loss: 0.5728	LR: 0.020000
Training Epoch: 22 [43264/46200]	Loss: 0.6004	LR: 0.020000
Training Epoch: 22 [43520/46200]	Loss: 0.5554	LR: 0.020000
Training Epoch: 22 [43776/46200]	Loss: 0.5478	LR: 0.020000
Training Epoch: 22 [44032/46200]	Loss: 0.5774	LR: 0.020000
Training Epoch: 22 [44288/46200]	Loss: 0.6477	LR: 0.020000
Training Epoch: 22 [44544/46200]	Loss: 0.6031	LR: 0.020000
Training Epoch: 22 [44800/46200]	Loss: 0.5207	LR: 0.020000
Training Epoch: 22 [45056/46200]	Loss: 0.4726	LR: 0.020000
Training Epoch: 22 [45312/46200]	Loss: 0.5863	LR: 0.020000
Training Epoch: 22 [45568/46200]	Loss: 0.7052	LR: 0.020000
Training Epoch: 22 [45824/46200]	Loss: 0.8084	LR: 0.020000
Training Epoch: 22 [46080/46200]	Loss: 0.6027	LR: 0.020000
Training Epoch: 22 [46200/46200]	Loss: 0.7883	LR: 0.020000
Epoch 22 - Average Train Loss: 0.5940, Train Accuracy: 0.8065
Epoch 22 training time consumed: 25.20s
Evaluating Network.....
Test set: Epoch: 22, Average loss: 0.0034, Accuracy: 0.7464, Time consumed:0.90s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_18h_30m_43s/AllCNN-Cifar20-seed8-ret25-22-best.pth
Training Epoch: 23 [256/46200]	Loss: 0.4472	LR: 0.020000
Training Epoch: 23 [512/46200]	Loss: 0.5957	LR: 0.020000
Training Epoch: 23 [768/46200]	Loss: 0.5089	LR: 0.020000
Training Epoch: 23 [1024/46200]	Loss: 0.4023	LR: 0.020000
Training Epoch: 23 [1280/46200]	Loss: 0.5439	LR: 0.020000
Training Epoch: 23 [1536/46200]	Loss: 0.5508	LR: 0.020000
Training Epoch: 23 [1792/46200]	Loss: 0.5802	LR: 0.020000
Training Epoch: 23 [2048/46200]	Loss: 0.5834	LR: 0.020000
Training Epoch: 23 [2304/46200]	Loss: 0.5480	LR: 0.020000
Training Epoch: 23 [2560/46200]	Loss: 0.5182	LR: 0.020000
Training Epoch: 23 [2816/46200]	Loss: 0.6294	LR: 0.020000
Training Epoch: 23 [3072/46200]	Loss: 0.4619	LR: 0.020000
Training Epoch: 23 [3328/46200]	Loss: 0.6230	LR: 0.020000
Training Epoch: 23 [3584/46200]	Loss: 0.6262	LR: 0.020000
Training Epoch: 23 [3840/46200]	Loss: 0.5469	LR: 0.020000
Training Epoch: 23 [4096/46200]	Loss: 0.5599	LR: 0.020000
Training Epoch: 23 [4352/46200]	Loss: 0.5652	LR: 0.020000
Training Epoch: 23 [4608/46200]	Loss: 0.5341	LR: 0.020000
Training Epoch: 23 [4864/46200]	Loss: 0.5311	LR: 0.020000
Training Epoch: 23 [5120/46200]	Loss: 0.6372	LR: 0.020000
Training Epoch: 23 [5376/46200]	Loss: 0.5740	LR: 0.020000
Training Epoch: 23 [5632/46200]	Loss: 0.5684	LR: 0.020000
Training Epoch: 23 [5888/46200]	Loss: 0.5611	LR: 0.020000
Training Epoch: 23 [6144/46200]	Loss: 0.7034	LR: 0.020000
Training Epoch: 23 [6400/46200]	Loss: 0.4614	LR: 0.020000
Training Epoch: 23 [6656/46200]	Loss: 0.5822	LR: 0.020000
Training Epoch: 23 [6912/46200]	Loss: 0.5216	LR: 0.020000
Training Epoch: 23 [7168/46200]	Loss: 0.6553	LR: 0.020000
Training Epoch: 23 [7424/46200]	Loss: 0.7015	LR: 0.020000
Training Epoch: 23 [7680/46200]	Loss: 0.6113	LR: 0.020000
Training Epoch: 23 [7936/46200]	Loss: 0.5947	LR: 0.020000
Training Epoch: 23 [8192/46200]	Loss: 0.5487	LR: 0.020000
Training Epoch: 23 [8448/46200]	Loss: 0.6125	LR: 0.020000
Training Epoch: 23 [8704/46200]	Loss: 0.5720	LR: 0.020000
Training Epoch: 23 [8960/46200]	Loss: 0.5133	LR: 0.020000
Training Epoch: 23 [9216/46200]	Loss: 0.4933	LR: 0.020000
Training Epoch: 23 [9472/46200]	Loss: 0.6827	LR: 0.020000
Training Epoch: 23 [9728/46200]	Loss: 0.5747	LR: 0.020000
Training Epoch: 23 [9984/46200]	Loss: 0.6192	LR: 0.020000
Training Epoch: 23 [10240/46200]	Loss: 0.6056	LR: 0.020000
Training Epoch: 23 [10496/46200]	Loss: 0.6181	LR: 0.020000
Training Epoch: 23 [10752/46200]	Loss: 0.5443	LR: 0.020000
Training Epoch: 23 [11008/46200]	Loss: 0.4888	LR: 0.020000
Training Epoch: 23 [11264/46200]	Loss: 0.5322	LR: 0.020000
Training Epoch: 23 [11520/46200]	Loss: 0.5898	LR: 0.020000
Training Epoch: 23 [11776/46200]	Loss: 0.6249	LR: 0.020000
Training Epoch: 23 [12032/46200]	Loss: 0.5389	LR: 0.020000
Training Epoch: 23 [12288/46200]	Loss: 0.5354	LR: 0.020000
Training Epoch: 23 [12544/46200]	Loss: 0.6213	LR: 0.020000
Training Epoch: 23 [12800/46200]	Loss: 0.5784	LR: 0.020000
Training Epoch: 23 [13056/46200]	Loss: 0.5036	LR: 0.020000
Training Epoch: 23 [13312/46200]	Loss: 0.5054	LR: 0.020000
Training Epoch: 23 [13568/46200]	Loss: 0.4803	LR: 0.020000
Training Epoch: 23 [13824/46200]	Loss: 0.6062	LR: 0.020000
Training Epoch: 23 [14080/46200]	Loss: 0.4245	LR: 0.020000
Training Epoch: 23 [14336/46200]	Loss: 0.6301	LR: 0.020000
Training Epoch: 23 [14592/46200]	Loss: 0.5197	LR: 0.020000
Training Epoch: 23 [14848/46200]	Loss: 0.5016	LR: 0.020000
Training Epoch: 23 [15104/46200]	Loss: 0.6352	LR: 0.020000
Training Epoch: 23 [15360/46200]	Loss: 0.5533	LR: 0.020000
Training Epoch: 23 [15616/46200]	Loss: 0.4835	LR: 0.020000
Training Epoch: 23 [15872/46200]	Loss: 0.5271	LR: 0.020000
Training Epoch: 23 [16128/46200]	Loss: 0.6551	LR: 0.020000
Training Epoch: 23 [16384/46200]	Loss: 0.5665	LR: 0.020000
Training Epoch: 23 [16640/46200]	Loss: 0.5777	LR: 0.020000
Training Epoch: 23 [16896/46200]	Loss: 0.7312	LR: 0.020000
Training Epoch: 23 [17152/46200]	Loss: 0.5688	LR: 0.020000
Training Epoch: 23 [17408/46200]	Loss: 0.5085	LR: 0.020000
Training Epoch: 23 [17664/46200]	Loss: 0.6426	LR: 0.020000
Training Epoch: 23 [17920/46200]	Loss: 0.6800	LR: 0.020000
Training Epoch: 23 [18176/46200]	Loss: 0.5039	LR: 0.020000
Training Epoch: 23 [18432/46200]	Loss: 0.5632	LR: 0.020000
Training Epoch: 23 [18688/46200]	Loss: 0.4899	LR: 0.020000
Training Epoch: 23 [18944/46200]	Loss: 0.5793	LR: 0.020000
Training Epoch: 23 [19200/46200]	Loss: 0.5621	LR: 0.020000
Training Epoch: 23 [19456/46200]	Loss: 0.4955	LR: 0.020000
Training Epoch: 23 [19712/46200]	Loss: 0.5112	LR: 0.020000
Training Epoch: 23 [19968/46200]	Loss: 0.5698	LR: 0.020000
Training Epoch: 23 [20224/46200]	Loss: 0.4976	LR: 0.020000
Training Epoch: 23 [20480/46200]	Loss: 0.5824	LR: 0.020000
Training Epoch: 23 [20736/46200]	Loss: 0.6084	LR: 0.020000
Training Epoch: 23 [20992/46200]	Loss: 0.5859	LR: 0.020000
Training Epoch: 23 [21248/46200]	Loss: 0.5102	LR: 0.020000
Training Epoch: 23 [21504/46200]	Loss: 0.6233	LR: 0.020000
Training Epoch: 23 [21760/46200]	Loss: 0.5859	LR: 0.020000
Training Epoch: 23 [22016/46200]	Loss: 0.5869	LR: 0.020000
Training Epoch: 23 [22272/46200]	Loss: 0.5621	LR: 0.020000
Training Epoch: 23 [22528/46200]	Loss: 0.6790	LR: 0.020000
Training Epoch: 23 [22784/46200]	Loss: 0.5428	LR: 0.020000
Training Epoch: 23 [23040/46200]	Loss: 0.6459	LR: 0.020000
Training Epoch: 23 [23296/46200]	Loss: 0.5268	LR: 0.020000
Training Epoch: 23 [23552/46200]	Loss: 0.6865	LR: 0.020000
Training Epoch: 23 [23808/46200]	Loss: 0.5425	LR: 0.020000
Training Epoch: 23 [24064/46200]	Loss: 0.5970	LR: 0.020000
Training Epoch: 23 [24320/46200]	Loss: 0.5530	LR: 0.020000
Training Epoch: 23 [24576/46200]	Loss: 0.5434	LR: 0.020000
Training Epoch: 23 [24832/46200]	Loss: 0.6032	LR: 0.020000
Training Epoch: 23 [25088/46200]	Loss: 0.5479	LR: 0.020000
Training Epoch: 23 [25344/46200]	Loss: 0.5159	LR: 0.020000
Training Epoch: 23 [25600/46200]	Loss: 0.6296	LR: 0.020000
Training Epoch: 23 [25856/46200]	Loss: 0.6345	LR: 0.020000
Training Epoch: 23 [26112/46200]	Loss: 0.6023	LR: 0.020000
Training Epoch: 23 [26368/46200]	Loss: 0.6268	LR: 0.020000
Training Epoch: 23 [26624/46200]	Loss: 0.5967	LR: 0.020000
Training Epoch: 23 [26880/46200]	Loss: 0.6362	LR: 0.020000
Training Epoch: 23 [27136/46200]	Loss: 0.5807	LR: 0.020000
Training Epoch: 23 [27392/46200]	Loss: 0.5483	LR: 0.020000
Training Epoch: 23 [27648/46200]	Loss: 0.5052	LR: 0.020000
Training Epoch: 23 [27904/46200]	Loss: 0.5659	LR: 0.020000
Training Epoch: 23 [28160/46200]	Loss: 0.5145	LR: 0.020000
Training Epoch: 23 [28416/46200]	Loss: 0.6157	LR: 0.020000
Training Epoch: 23 [28672/46200]	Loss: 0.5547	LR: 0.020000
Training Epoch: 23 [28928/46200]	Loss: 0.6428	LR: 0.020000
Training Epoch: 23 [29184/46200]	Loss: 0.5172	LR: 0.020000
Training Epoch: 23 [29440/46200]	Loss: 0.6487	LR: 0.020000
Training Epoch: 23 [29696/46200]	Loss: 0.5922	LR: 0.020000
Training Epoch: 23 [29952/46200]	Loss: 0.5236	LR: 0.020000
Training Epoch: 23 [30208/46200]	Loss: 0.6249	LR: 0.020000
Training Epoch: 23 [30464/46200]	Loss: 0.5538	LR: 0.020000
Training Epoch: 23 [30720/46200]	Loss: 0.5499	LR: 0.020000
Training Epoch: 23 [30976/46200]	Loss: 0.5795	LR: 0.020000
Training Epoch: 23 [31232/46200]	Loss: 0.6068	LR: 0.020000
Training Epoch: 23 [31488/46200]	Loss: 0.5152	LR: 0.020000
Training Epoch: 23 [31744/46200]	Loss: 0.6875	LR: 0.020000
Training Epoch: 23 [32000/46200]	Loss: 0.5537	LR: 0.020000
Training Epoch: 23 [32256/46200]	Loss: 0.6301	LR: 0.020000
Training Epoch: 23 [32512/46200]	Loss: 0.4740	LR: 0.020000
Training Epoch: 23 [32768/46200]	Loss: 0.5993	LR: 0.020000
Training Epoch: 23 [33024/46200]	Loss: 0.6301	LR: 0.020000
Training Epoch: 23 [33280/46200]	Loss: 0.5727	LR: 0.020000
Training Epoch: 23 [33536/46200]	Loss: 0.5840	LR: 0.020000
Training Epoch: 23 [33792/46200]	Loss: 0.5432	LR: 0.020000
Training Epoch: 23 [34048/46200]	Loss: 0.6703	LR: 0.020000
Training Epoch: 23 [34304/46200]	Loss: 0.4357	LR: 0.020000
Training Epoch: 23 [34560/46200]	Loss: 0.5461	LR: 0.020000
Training Epoch: 23 [34816/46200]	Loss: 0.5394	LR: 0.020000
Training Epoch: 23 [35072/46200]	Loss: 0.5794	LR: 0.020000
Training Epoch: 23 [35328/46200]	Loss: 0.5485	LR: 0.020000
Training Epoch: 23 [35584/46200]	Loss: 0.4907	LR: 0.020000
Training Epoch: 23 [35840/46200]	Loss: 0.6562	LR: 0.020000
Training Epoch: 23 [36096/46200]	Loss: 0.5736	LR: 0.020000
Training Epoch: 23 [36352/46200]	Loss: 0.4839	LR: 0.020000
Training Epoch: 23 [36608/46200]	Loss: 0.5536	LR: 0.020000
Training Epoch: 23 [36864/46200]	Loss: 0.5330	LR: 0.020000
Training Epoch: 23 [37120/46200]	Loss: 0.5370	LR: 0.020000
Training Epoch: 23 [37376/46200]	Loss: 0.6126	LR: 0.020000
Training Epoch: 23 [37632/46200]	Loss: 0.5504	LR: 0.020000
Training Epoch: 23 [37888/46200]	Loss: 0.5483	LR: 0.020000
Training Epoch: 23 [38144/46200]	Loss: 0.6355	LR: 0.020000
Training Epoch: 23 [38400/46200]	Loss: 0.5792	LR: 0.020000
Training Epoch: 23 [38656/46200]	Loss: 0.6220	LR: 0.020000
Training Epoch: 23 [38912/46200]	Loss: 0.5614	LR: 0.020000
Training Epoch: 23 [39168/46200]	Loss: 0.6073	LR: 0.020000
Training Epoch: 23 [39424/46200]	Loss: 0.6410	LR: 0.020000
Training Epoch: 23 [39680/46200]	Loss: 0.6644	LR: 0.020000
Training Epoch: 23 [39936/46200]	Loss: 0.6227	LR: 0.020000
Training Epoch: 23 [40192/46200]	Loss: 0.5878	LR: 0.020000
Training Epoch: 23 [40448/46200]	Loss: 0.5962	LR: 0.020000
Training Epoch: 23 [40704/46200]	Loss: 0.6020	LR: 0.020000
Training Epoch: 23 [40960/46200]	Loss: 0.5329	LR: 0.020000
Training Epoch: 23 [41216/46200]	Loss: 0.5712	LR: 0.020000
Training Epoch: 23 [41472/46200]	Loss: 0.5301	LR: 0.020000
Training Epoch: 23 [41728/46200]	Loss: 0.6806	LR: 0.020000
Training Epoch: 23 [41984/46200]	Loss: 0.6986	LR: 0.020000
Training Epoch: 23 [42240/46200]	Loss: 0.6670	LR: 0.020000
Training Epoch: 23 [42496/46200]	Loss: 0.6855	LR: 0.020000
Training Epoch: 23 [42752/46200]	Loss: 0.6644	LR: 0.020000
Training Epoch: 23 [43008/46200]	Loss: 0.5873	LR: 0.020000
Training Epoch: 23 [43264/46200]	Loss: 0.6148	LR: 0.020000
Training Epoch: 23 [43520/46200]	Loss: 0.5937	LR: 0.020000
Training Epoch: 23 [43776/46200]	Loss: 0.5325	LR: 0.020000
Training Epoch: 23 [44032/46200]	Loss: 0.5640	LR: 0.020000
Training Epoch: 23 [44288/46200]	Loss: 0.6206	LR: 0.020000
Training Epoch: 23 [44544/46200]	Loss: 0.6127	LR: 0.020000
Training Epoch: 23 [44800/46200]	Loss: 0.5954	LR: 0.020000
Training Epoch: 23 [45056/46200]	Loss: 0.6840	LR: 0.020000
Training Epoch: 23 [45312/46200]	Loss: 0.5248	LR: 0.020000
Training Epoch: 23 [45568/46200]	Loss: 0.5649	LR: 0.020000
Training Epoch: 23 [45824/46200]	Loss: 0.5685	LR: 0.020000
Training Epoch: 23 [46080/46200]	Loss: 0.5778	LR: 0.020000
Training Epoch: 23 [46200/46200]	Loss: 0.5715	LR: 0.020000
Epoch 23 - Average Train Loss: 0.5756, Train Accuracy: 0.8124
Epoch 23 training time consumed: 25.16s
Evaluating Network.....
Test set: Epoch: 23, Average loss: 0.0034, Accuracy: 0.7487, Time consumed:0.88s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_18h_30m_43s/AllCNN-Cifar20-seed8-ret25-23-best.pth
Training Epoch: 24 [256/46200]	Loss: 0.5147	LR: 0.020000
Training Epoch: 24 [512/46200]	Loss: 0.5734	LR: 0.020000
Training Epoch: 24 [768/46200]	Loss: 0.4913	LR: 0.020000
Training Epoch: 24 [1024/46200]	Loss: 0.4356	LR: 0.020000
Training Epoch: 24 [1280/46200]	Loss: 0.5081	LR: 0.020000
Training Epoch: 24 [1536/46200]	Loss: 0.5957	LR: 0.020000
Training Epoch: 24 [1792/46200]	Loss: 0.5858	LR: 0.020000
Training Epoch: 24 [2048/46200]	Loss: 0.4766	LR: 0.020000
Training Epoch: 24 [2304/46200]	Loss: 0.5589	LR: 0.020000
Training Epoch: 24 [2560/46200]	Loss: 0.5169	LR: 0.020000
Training Epoch: 24 [2816/46200]	Loss: 0.5264	LR: 0.020000
Training Epoch: 24 [3072/46200]	Loss: 0.5112	LR: 0.020000
Training Epoch: 24 [3328/46200]	Loss: 0.5046	LR: 0.020000
Training Epoch: 24 [3584/46200]	Loss: 0.6957	LR: 0.020000
Training Epoch: 24 [3840/46200]	Loss: 0.4767	LR: 0.020000
Training Epoch: 24 [4096/46200]	Loss: 0.5377	LR: 0.020000
Training Epoch: 24 [4352/46200]	Loss: 0.5572	LR: 0.020000
Training Epoch: 24 [4608/46200]	Loss: 0.5278	LR: 0.020000
Training Epoch: 24 [4864/46200]	Loss: 0.4592	LR: 0.020000
Training Epoch: 24 [5120/46200]	Loss: 0.5227	LR: 0.020000
Training Epoch: 24 [5376/46200]	Loss: 0.4680	LR: 0.020000
Training Epoch: 24 [5632/46200]	Loss: 0.4962	LR: 0.020000
Training Epoch: 24 [5888/46200]	Loss: 0.5855	LR: 0.020000
Training Epoch: 24 [6144/46200]	Loss: 0.5625	LR: 0.020000
Training Epoch: 24 [6400/46200]	Loss: 0.4993	LR: 0.020000
Training Epoch: 24 [6656/46200]	Loss: 0.4491	LR: 0.020000
Training Epoch: 24 [6912/46200]	Loss: 0.5222	LR: 0.020000
Training Epoch: 24 [7168/46200]	Loss: 0.4872	LR: 0.020000
Training Epoch: 24 [7424/46200]	Loss: 0.5523	LR: 0.020000
Training Epoch: 24 [7680/46200]	Loss: 0.4902	LR: 0.020000
Training Epoch: 24 [7936/46200]	Loss: 0.4849	LR: 0.020000
Training Epoch: 24 [8192/46200]	Loss: 0.5505	LR: 0.020000
Training Epoch: 24 [8448/46200]	Loss: 0.5162	LR: 0.020000
Training Epoch: 24 [8704/46200]	Loss: 0.5211	LR: 0.020000
Training Epoch: 24 [8960/46200]	Loss: 0.4737	LR: 0.020000
Training Epoch: 24 [9216/46200]	Loss: 0.4939	LR: 0.020000
Training Epoch: 24 [9472/46200]	Loss: 0.5785	LR: 0.020000
Training Epoch: 24 [9728/46200]	Loss: 0.6499	LR: 0.020000
Training Epoch: 24 [9984/46200]	Loss: 0.4133	LR: 0.020000
Training Epoch: 24 [10240/46200]	Loss: 0.5055	LR: 0.020000
Training Epoch: 24 [10496/46200]	Loss: 0.6476	LR: 0.020000
Training Epoch: 24 [10752/46200]	Loss: 0.5044	LR: 0.020000
Training Epoch: 24 [11008/46200]	Loss: 0.4729	LR: 0.020000
Training Epoch: 24 [11264/46200]	Loss: 0.5647	LR: 0.020000
Training Epoch: 24 [11520/46200]	Loss: 0.5740	LR: 0.020000
Training Epoch: 24 [11776/46200]	Loss: 0.6293	LR: 0.020000
Training Epoch: 24 [12032/46200]	Loss: 0.4872	LR: 0.020000
Training Epoch: 24 [12288/46200]	Loss: 0.5256	LR: 0.020000
Training Epoch: 24 [12544/46200]	Loss: 0.4967	LR: 0.020000
Training Epoch: 24 [12800/46200]	Loss: 0.5869	LR: 0.020000
Training Epoch: 24 [13056/46200]	Loss: 0.5120	LR: 0.020000
Training Epoch: 24 [13312/46200]	Loss: 0.5423	LR: 0.020000
Training Epoch: 24 [13568/46200]	Loss: 0.5407	LR: 0.020000
Training Epoch: 24 [13824/46200]	Loss: 0.6106	LR: 0.020000
Training Epoch: 24 [14080/46200]	Loss: 0.5716	LR: 0.020000
Training Epoch: 24 [14336/46200]	Loss: 0.5686	LR: 0.020000
Training Epoch: 24 [14592/46200]	Loss: 0.5355	LR: 0.020000
Training Epoch: 24 [14848/46200]	Loss: 0.6296	LR: 0.020000
Training Epoch: 24 [15104/46200]	Loss: 0.4583	LR: 0.020000
Training Epoch: 24 [15360/46200]	Loss: 0.6804	LR: 0.020000
Training Epoch: 24 [15616/46200]	Loss: 0.5900	LR: 0.020000
Training Epoch: 24 [15872/46200]	Loss: 0.5451	LR: 0.020000
Training Epoch: 24 [16128/46200]	Loss: 0.6303	LR: 0.020000
Training Epoch: 24 [16384/46200]	Loss: 0.6228	LR: 0.020000
Training Epoch: 24 [16640/46200]	Loss: 0.4674	LR: 0.020000
Training Epoch: 24 [16896/46200]	Loss: 0.5811	LR: 0.020000
Training Epoch: 24 [17152/46200]	Loss: 0.5107	LR: 0.020000
Training Epoch: 24 [17408/46200]	Loss: 0.4845	LR: 0.020000
Training Epoch: 24 [17664/46200]	Loss: 0.6624	LR: 0.020000
Training Epoch: 24 [17920/46200]	Loss: 0.4630	LR: 0.020000
Training Epoch: 24 [18176/46200]	Loss: 0.5489	LR: 0.020000
Training Epoch: 24 [18432/46200]	Loss: 0.5808	LR: 0.020000
Training Epoch: 24 [18688/46200]	Loss: 0.5786	LR: 0.020000
Training Epoch: 24 [18944/46200]	Loss: 0.5092	LR: 0.020000
Training Epoch: 24 [19200/46200]	Loss: 0.5295	LR: 0.020000
Training Epoch: 24 [19456/46200]	Loss: 0.6139	LR: 0.020000
Training Epoch: 24 [19712/46200]	Loss: 0.6665	LR: 0.020000
Training Epoch: 24 [19968/46200]	Loss: 0.5814	LR: 0.020000
Training Epoch: 24 [20224/46200]	Loss: 0.5360	LR: 0.020000
Training Epoch: 24 [20480/46200]	Loss: 0.5692	LR: 0.020000
Training Epoch: 24 [20736/46200]	Loss: 0.5827	LR: 0.020000
Training Epoch: 24 [20992/46200]	Loss: 0.6252	LR: 0.020000
Training Epoch: 24 [21248/46200]	Loss: 0.5583	LR: 0.020000
Training Epoch: 24 [21504/46200]	Loss: 0.5915	LR: 0.020000
Training Epoch: 24 [21760/46200]	Loss: 0.5713	LR: 0.020000
Training Epoch: 24 [22016/46200]	Loss: 0.5586	LR: 0.020000
Training Epoch: 24 [22272/46200]	Loss: 0.6024	LR: 0.020000
Training Epoch: 24 [22528/46200]	Loss: 0.5180	LR: 0.020000
Training Epoch: 24 [22784/46200]	Loss: 0.6391	LR: 0.020000
Training Epoch: 24 [23040/46200]	Loss: 0.5679	LR: 0.020000
Training Epoch: 24 [23296/46200]	Loss: 0.5704	LR: 0.020000
Training Epoch: 24 [23552/46200]	Loss: 0.6174	LR: 0.020000
Training Epoch: 24 [23808/46200]	Loss: 0.6422	LR: 0.020000
Training Epoch: 24 [24064/46200]	Loss: 0.7084	LR: 0.020000
Training Epoch: 24 [24320/46200]	Loss: 0.4929	LR: 0.020000
Training Epoch: 24 [24576/46200]	Loss: 0.5335	LR: 0.020000
Training Epoch: 24 [24832/46200]	Loss: 0.5560	LR: 0.020000
Training Epoch: 24 [25088/46200]	Loss: 0.5953	LR: 0.020000
Training Epoch: 24 [25344/46200]	Loss: 0.6334	LR: 0.020000
Training Epoch: 24 [25600/46200]	Loss: 0.6873	LR: 0.020000
Training Epoch: 24 [25856/46200]	Loss: 0.6055	LR: 0.020000
Training Epoch: 24 [26112/46200]	Loss: 0.5922	LR: 0.020000
Training Epoch: 24 [26368/46200]	Loss: 0.5298	LR: 0.020000
Training Epoch: 24 [26624/46200]	Loss: 0.5446	LR: 0.020000
Training Epoch: 24 [26880/46200]	Loss: 0.5905	LR: 0.020000
Training Epoch: 24 [27136/46200]	Loss: 0.6666	LR: 0.020000
Training Epoch: 24 [27392/46200]	Loss: 0.5144	LR: 0.020000
Training Epoch: 24 [27648/46200]	Loss: 0.6137	LR: 0.020000
Training Epoch: 24 [27904/46200]	Loss: 0.6219	LR: 0.020000
Training Epoch: 24 [28160/46200]	Loss: 0.5515	LR: 0.020000
Training Epoch: 24 [28416/46200]	Loss: 0.6119	LR: 0.020000
Training Epoch: 24 [28672/46200]	Loss: 0.6694	LR: 0.020000
Training Epoch: 24 [28928/46200]	Loss: 0.6400	LR: 0.020000
Training Epoch: 24 [29184/46200]	Loss: 0.5703	LR: 0.020000
Training Epoch: 24 [29440/46200]	Loss: 0.6877	LR: 0.020000
Training Epoch: 24 [29696/46200]	Loss: 0.6010	LR: 0.020000
Training Epoch: 24 [29952/46200]	Loss: 0.4207	LR: 0.020000
Training Epoch: 24 [30208/46200]	Loss: 0.5553	LR: 0.020000
Training Epoch: 24 [30464/46200]	Loss: 0.5190	LR: 0.020000
Training Epoch: 24 [30720/46200]	Loss: 0.5252	LR: 0.020000
Training Epoch: 24 [30976/46200]	Loss: 0.5185	LR: 0.020000
Training Epoch: 24 [31232/46200]	Loss: 0.6051	LR: 0.020000
Training Epoch: 24 [31488/46200]	Loss: 0.6232	LR: 0.020000
Training Epoch: 24 [31744/46200]	Loss: 0.5431	LR: 0.020000
Training Epoch: 24 [32000/46200]	Loss: 0.6072	LR: 0.020000
Training Epoch: 24 [32256/46200]	Loss: 0.6659	LR: 0.020000
Training Epoch: 24 [32512/46200]	Loss: 0.5342	LR: 0.020000
Training Epoch: 24 [32768/46200]	Loss: 0.6855	LR: 0.020000
Training Epoch: 24 [33024/46200]	Loss: 0.5726	LR: 0.020000
Training Epoch: 24 [33280/46200]	Loss: 0.5449	LR: 0.020000
Training Epoch: 24 [33536/46200]	Loss: 0.6181	LR: 0.020000
Training Epoch: 24 [33792/46200]	Loss: 0.5822	LR: 0.020000
Training Epoch: 24 [34048/46200]	Loss: 0.4984	LR: 0.020000
Training Epoch: 24 [34304/46200]	Loss: 0.6667	LR: 0.020000
Training Epoch: 24 [34560/46200]	Loss: 0.5932	LR: 0.020000
Training Epoch: 24 [34816/46200]	Loss: 0.6127	LR: 0.020000
Training Epoch: 24 [35072/46200]	Loss: 0.4984	LR: 0.020000
Training Epoch: 24 [35328/46200]	Loss: 0.5724	LR: 0.020000
Training Epoch: 24 [35584/46200]	Loss: 0.5628	LR: 0.020000
Training Epoch: 24 [35840/46200]	Loss: 0.6077	LR: 0.020000
Training Epoch: 24 [36096/46200]	Loss: 0.5882	LR: 0.020000
Training Epoch: 24 [36352/46200]	Loss: 0.4952	LR: 0.020000
Training Epoch: 24 [36608/46200]	Loss: 0.6035	LR: 0.020000
Training Epoch: 24 [36864/46200]	Loss: 0.4974	LR: 0.020000
Training Epoch: 24 [37120/46200]	Loss: 0.5311	LR: 0.020000
Training Epoch: 24 [37376/46200]	Loss: 0.6835	LR: 0.020000
Training Epoch: 24 [37632/46200]	Loss: 0.5642	LR: 0.020000
Training Epoch: 24 [37888/46200]	Loss: 0.5402	LR: 0.020000
Training Epoch: 24 [38144/46200]	Loss: 0.6218	LR: 0.020000
Training Epoch: 24 [38400/46200]	Loss: 0.5970	LR: 0.020000
Training Epoch: 24 [38656/46200]	Loss: 0.5878	LR: 0.020000
Training Epoch: 24 [38912/46200]	Loss: 0.5476	LR: 0.020000
Training Epoch: 24 [39168/46200]	Loss: 0.5021	LR: 0.020000
Training Epoch: 24 [39424/46200]	Loss: 0.6059	LR: 0.020000
Training Epoch: 24 [39680/46200]	Loss: 0.5915	LR: 0.020000
Training Epoch: 24 [39936/46200]	Loss: 0.5931	LR: 0.020000
Training Epoch: 24 [40192/46200]	Loss: 0.6288	LR: 0.020000
Training Epoch: 24 [40448/46200]	Loss: 0.5805	LR: 0.020000
Training Epoch: 24 [40704/46200]	Loss: 0.7837	LR: 0.020000
Training Epoch: 24 [40960/46200]	Loss: 0.4889	LR: 0.020000
Training Epoch: 24 [41216/46200]	Loss: 0.5293	LR: 0.020000
Training Epoch: 24 [41472/46200]	Loss: 0.5163	LR: 0.020000
Training Epoch: 24 [41728/46200]	Loss: 0.5621	LR: 0.020000
Training Epoch: 24 [41984/46200]	Loss: 0.5010	LR: 0.020000
Training Epoch: 24 [42240/46200]	Loss: 0.5673	LR: 0.020000
Training Epoch: 24 [42496/46200]	Loss: 0.5227	LR: 0.020000
Training Epoch: 24 [42752/46200]	Loss: 0.5899	LR: 0.020000
Training Epoch: 24 [43008/46200]	Loss: 0.6717	LR: 0.020000
Training Epoch: 24 [43264/46200]	Loss: 0.5536	LR: 0.020000
Training Epoch: 24 [43520/46200]	Loss: 0.6114	LR: 0.020000
Training Epoch: 24 [43776/46200]	Loss: 0.6314	LR: 0.020000
Training Epoch: 24 [44032/46200]	Loss: 0.5781	LR: 0.020000
Training Epoch: 24 [44288/46200]	Loss: 0.4881	LR: 0.020000
Training Epoch: 24 [44544/46200]	Loss: 0.5102	LR: 0.020000
Training Epoch: 24 [44800/46200]	Loss: 0.5525	LR: 0.020000
Training Epoch: 24 [45056/46200]	Loss: 0.5599	LR: 0.020000
Training Epoch: 24 [45312/46200]	Loss: 0.5298	LR: 0.020000
Training Epoch: 24 [45568/46200]	Loss: 0.6034	LR: 0.020000
Training Epoch: 24 [45824/46200]	Loss: 0.6291	LR: 0.020000
Training Epoch: 24 [46080/46200]	Loss: 0.5474	LR: 0.020000
Training Epoch: 24 [46200/46200]	Loss: 0.7922	LR: 0.020000
Epoch 24 - Average Train Loss: 0.5638, Train Accuracy: 0.8173
Epoch 24 training time consumed: 25.14s
Evaluating Network.....
Test set: Epoch: 24, Average loss: 0.0033, Accuracy: 0.7496, Time consumed:0.86s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_18h_30m_43s/AllCNN-Cifar20-seed8-ret25-24-best.pth
Training Epoch: 25 [256/46200]	Loss: 0.5249	LR: 0.020000
Training Epoch: 25 [512/46200]	Loss: 0.4984	LR: 0.020000
Training Epoch: 25 [768/46200]	Loss: 0.5537	LR: 0.020000
Training Epoch: 25 [1024/46200]	Loss: 0.5291	LR: 0.020000
Training Epoch: 25 [1280/46200]	Loss: 0.5214	LR: 0.020000
Training Epoch: 25 [1536/46200]	Loss: 0.5092	LR: 0.020000
Training Epoch: 25 [1792/46200]	Loss: 0.4376	LR: 0.020000
Training Epoch: 25 [2048/46200]	Loss: 0.6122	LR: 0.020000
Training Epoch: 25 [2304/46200]	Loss: 0.5607	LR: 0.020000
Training Epoch: 25 [2560/46200]	Loss: 0.5265	LR: 0.020000
Training Epoch: 25 [2816/46200]	Loss: 0.5326	LR: 0.020000
Training Epoch: 25 [3072/46200]	Loss: 0.5298	LR: 0.020000
Training Epoch: 25 [3328/46200]	Loss: 0.4979	LR: 0.020000
Training Epoch: 25 [3584/46200]	Loss: 0.4536	LR: 0.020000
Training Epoch: 25 [3840/46200]	Loss: 0.5835	LR: 0.020000
Training Epoch: 25 [4096/46200]	Loss: 0.5322	LR: 0.020000
Training Epoch: 25 [4352/46200]	Loss: 0.5505	LR: 0.020000
Training Epoch: 25 [4608/46200]	Loss: 0.3794	LR: 0.020000
Training Epoch: 25 [4864/46200]	Loss: 0.5301	LR: 0.020000
Training Epoch: 25 [5120/46200]	Loss: 0.4510	LR: 0.020000
Training Epoch: 25 [5376/46200]	Loss: 0.4992	LR: 0.020000
Training Epoch: 25 [5632/46200]	Loss: 0.5216	LR: 0.020000
Training Epoch: 25 [5888/46200]	Loss: 0.5169	LR: 0.020000
Training Epoch: 25 [6144/46200]	Loss: 0.6306	LR: 0.020000
Training Epoch: 25 [6400/46200]	Loss: 0.5769	LR: 0.020000
Training Epoch: 25 [6656/46200]	Loss: 0.5129	LR: 0.020000
Training Epoch: 25 [6912/46200]	Loss: 0.6089	LR: 0.020000
Training Epoch: 25 [7168/46200]	Loss: 0.6288	LR: 0.020000
Training Epoch: 25 [7424/46200]	Loss: 0.6150	LR: 0.020000
Training Epoch: 25 [7680/46200]	Loss: 0.5061	LR: 0.020000
Training Epoch: 25 [7936/46200]	Loss: 0.6748	LR: 0.020000
Training Epoch: 25 [8192/46200]	Loss: 0.5737	LR: 0.020000
Training Epoch: 25 [8448/46200]	Loss: 0.5402	LR: 0.020000
Training Epoch: 25 [8704/46200]	Loss: 0.5233	LR: 0.020000
Training Epoch: 25 [8960/46200]	Loss: 0.5582	LR: 0.020000
Training Epoch: 25 [9216/46200]	Loss: 0.5725	LR: 0.020000
Training Epoch: 25 [9472/46200]	Loss: 0.5499	LR: 0.020000
Training Epoch: 25 [9728/46200]	Loss: 0.5909	LR: 0.020000
Training Epoch: 25 [9984/46200]	Loss: 0.5734	LR: 0.020000
Training Epoch: 25 [10240/46200]	Loss: 0.5645	LR: 0.020000
Training Epoch: 25 [10496/46200]	Loss: 0.5294	LR: 0.020000
Training Epoch: 25 [10752/46200]	Loss: 0.5352	LR: 0.020000
Training Epoch: 25 [11008/46200]	Loss: 0.5665	LR: 0.020000
Training Epoch: 25 [11264/46200]	Loss: 0.4621	LR: 0.020000
Training Epoch: 25 [11520/46200]	Loss: 0.5103	LR: 0.020000
Training Epoch: 25 [11776/46200]	Loss: 0.5799	LR: 0.020000
Training Epoch: 25 [12032/46200]	Loss: 0.5446	LR: 0.020000
Training Epoch: 25 [12288/46200]	Loss: 0.5598	LR: 0.020000
Training Epoch: 25 [12544/46200]	Loss: 0.5334	LR: 0.020000
Training Epoch: 25 [12800/46200]	Loss: 0.4781	LR: 0.020000
Training Epoch: 25 [13056/46200]	Loss: 0.6069	LR: 0.020000
Training Epoch: 25 [13312/46200]	Loss: 0.5689	LR: 0.020000
Training Epoch: 25 [13568/46200]	Loss: 0.5515	LR: 0.020000
Training Epoch: 25 [13824/46200]	Loss: 0.4407	LR: 0.020000
Training Epoch: 25 [14080/46200]	Loss: 0.5285	LR: 0.020000
Training Epoch: 25 [14336/46200]	Loss: 0.6523	LR: 0.020000
Training Epoch: 25 [14592/46200]	Loss: 0.6068	LR: 0.020000
Training Epoch: 25 [14848/46200]	Loss: 0.5242	LR: 0.020000
Training Epoch: 25 [15104/46200]	Loss: 0.5204	LR: 0.020000
Training Epoch: 25 [15360/46200]	Loss: 0.5588	LR: 0.020000
Training Epoch: 25 [15616/46200]	Loss: 0.4860	LR: 0.020000
Training Epoch: 25 [15872/46200]	Loss: 0.4792	LR: 0.020000
Training Epoch: 25 [16128/46200]	Loss: 0.5541	LR: 0.020000
Training Epoch: 25 [16384/46200]	Loss: 0.5152	LR: 0.020000
Training Epoch: 25 [16640/46200]	Loss: 0.5343	LR: 0.020000
Training Epoch: 25 [16896/46200]	Loss: 0.4748	LR: 0.020000
Training Epoch: 25 [17152/46200]	Loss: 0.6067	LR: 0.020000
Training Epoch: 25 [17408/46200]	Loss: 0.5883	LR: 0.020000
Training Epoch: 25 [17664/46200]	Loss: 0.5616	LR: 0.020000
Training Epoch: 25 [17920/46200]	Loss: 0.5266	LR: 0.020000
Training Epoch: 25 [18176/46200]	Loss: 0.5539	LR: 0.020000
Training Epoch: 25 [18432/46200]	Loss: 0.5097	LR: 0.020000
Training Epoch: 25 [18688/46200]	Loss: 0.6121	LR: 0.020000
Training Epoch: 25 [18944/46200]	Loss: 0.4871	LR: 0.020000
Training Epoch: 25 [19200/46200]	Loss: 0.5279	LR: 0.020000
Training Epoch: 25 [19456/46200]	Loss: 0.5331	LR: 0.020000
Training Epoch: 25 [19712/46200]	Loss: 0.5698	LR: 0.020000
Training Epoch: 25 [19968/46200]	Loss: 0.6171	LR: 0.020000
Training Epoch: 25 [20224/46200]	Loss: 0.6486	LR: 0.020000
Training Epoch: 25 [20480/46200]	Loss: 0.5811	LR: 0.020000
Training Epoch: 25 [20736/46200]	Loss: 0.6624	LR: 0.020000
Training Epoch: 25 [20992/46200]	Loss: 0.5314	LR: 0.020000
Training Epoch: 25 [21248/46200]	Loss: 0.5185	LR: 0.020000
Training Epoch: 25 [21504/46200]	Loss: 0.5085	LR: 0.020000
Training Epoch: 25 [21760/46200]	Loss: 0.6039	LR: 0.020000
Training Epoch: 25 [22016/46200]	Loss: 0.5209	LR: 0.020000
Training Epoch: 25 [22272/46200]	Loss: 0.5423	LR: 0.020000
Training Epoch: 25 [22528/46200]	Loss: 0.5630	LR: 0.020000
Training Epoch: 25 [22784/46200]	Loss: 0.4694	LR: 0.020000
Training Epoch: 25 [23040/46200]	Loss: 0.6425	LR: 0.020000
Training Epoch: 25 [23296/46200]	Loss: 0.5687	LR: 0.020000
Training Epoch: 25 [23552/46200]	Loss: 0.4390	LR: 0.020000
Training Epoch: 25 [23808/46200]	Loss: 0.5501	LR: 0.020000
Training Epoch: 25 [24064/46200]	Loss: 0.6208	LR: 0.020000
Training Epoch: 25 [24320/46200]	Loss: 0.6247	LR: 0.020000
Training Epoch: 25 [24576/46200]	Loss: 0.5610	LR: 0.020000
Training Epoch: 25 [24832/46200]	Loss: 0.6131	LR: 0.020000
Training Epoch: 25 [25088/46200]	Loss: 0.4944	LR: 0.020000
Training Epoch: 25 [25344/46200]	Loss: 0.6786	LR: 0.020000
Training Epoch: 25 [25600/46200]	Loss: 0.5694	LR: 0.020000
Training Epoch: 25 [25856/46200]	Loss: 0.5596	LR: 0.020000
Training Epoch: 25 [26112/46200]	Loss: 0.4700	LR: 0.020000
Training Epoch: 25 [26368/46200]	Loss: 0.5256	LR: 0.020000
Training Epoch: 25 [26624/46200]	Loss: 0.5243	LR: 0.020000
Training Epoch: 25 [26880/46200]	Loss: 0.5976	LR: 0.020000
Training Epoch: 25 [27136/46200]	Loss: 0.5772	LR: 0.020000
Training Epoch: 25 [27392/46200]	Loss: 0.6300	LR: 0.020000
Training Epoch: 25 [27648/46200]	Loss: 0.5677	LR: 0.020000
Training Epoch: 25 [27904/46200]	Loss: 0.4524	LR: 0.020000
Training Epoch: 25 [28160/46200]	Loss: 0.5044	LR: 0.020000
Training Epoch: 25 [28416/46200]	Loss: 0.5823	LR: 0.020000
Training Epoch: 25 [28672/46200]	Loss: 0.6857	LR: 0.020000
Training Epoch: 25 [28928/46200]	Loss: 0.5515	LR: 0.020000
Training Epoch: 25 [29184/46200]	Loss: 0.5118	LR: 0.020000
Training Epoch: 25 [29440/46200]	Loss: 0.5386	LR: 0.020000
Training Epoch: 25 [29696/46200]	Loss: 0.6287	LR: 0.020000
Training Epoch: 25 [29952/46200]	Loss: 0.6296	LR: 0.020000
Training Epoch: 25 [30208/46200]	Loss: 0.5857	LR: 0.020000
Training Epoch: 25 [30464/46200]	Loss: 0.4855	LR: 0.020000
Training Epoch: 25 [30720/46200]	Loss: 0.5076	LR: 0.020000
Training Epoch: 25 [30976/46200]	Loss: 0.6816	LR: 0.020000
Training Epoch: 25 [31232/46200]	Loss: 0.5950	LR: 0.020000
Training Epoch: 25 [31488/46200]	Loss: 0.6047	LR: 0.020000
Training Epoch: 25 [31744/46200]	Loss: 0.5468	LR: 0.020000
Training Epoch: 25 [32000/46200]	Loss: 0.5242	LR: 0.020000
Training Epoch: 25 [32256/46200]	Loss: 0.6091	LR: 0.020000
Training Epoch: 25 [32512/46200]	Loss: 0.5181	LR: 0.020000
Training Epoch: 25 [32768/46200]	Loss: 0.5502	LR: 0.020000
Training Epoch: 25 [33024/46200]	Loss: 0.6383	LR: 0.020000
Training Epoch: 25 [33280/46200]	Loss: 0.6118	LR: 0.020000
Training Epoch: 25 [33536/46200]	Loss: 0.5598	LR: 0.020000
Training Epoch: 25 [33792/46200]	Loss: 0.5224	LR: 0.020000
Training Epoch: 25 [34048/46200]	Loss: 0.5048	LR: 0.020000
Training Epoch: 25 [34304/46200]	Loss: 0.5354	LR: 0.020000
Training Epoch: 25 [34560/46200]	Loss: 0.6809	LR: 0.020000
Training Epoch: 25 [34816/46200]	Loss: 0.5986	LR: 0.020000
Training Epoch: 25 [35072/46200]	Loss: 0.5622	LR: 0.020000
Training Epoch: 25 [35328/46200]	Loss: 0.6151	LR: 0.020000
Training Epoch: 25 [35584/46200]	Loss: 0.6002	LR: 0.020000
Training Epoch: 25 [35840/46200]	Loss: 0.6633	LR: 0.020000
Training Epoch: 25 [36096/46200]	Loss: 0.5084	LR: 0.020000
Training Epoch: 25 [36352/46200]	Loss: 0.5832	LR: 0.020000
Training Epoch: 25 [36608/46200]	Loss: 0.5871	LR: 0.020000
Training Epoch: 25 [36864/46200]	Loss: 0.5310	LR: 0.020000
Training Epoch: 25 [37120/46200]	Loss: 0.6944	LR: 0.020000
Training Epoch: 25 [37376/46200]	Loss: 0.6510	LR: 0.020000
Training Epoch: 25 [37632/46200]	Loss: 0.5609	LR: 0.020000
Training Epoch: 25 [37888/46200]	Loss: 0.4783	LR: 0.020000
Training Epoch: 25 [38144/46200]	Loss: 0.6529	LR: 0.020000
Training Epoch: 25 [38400/46200]	Loss: 0.4647	LR: 0.020000
Training Epoch: 25 [38656/46200]	Loss: 0.5890	LR: 0.020000
Training Epoch: 25 [38912/46200]	Loss: 0.6254	LR: 0.020000
Training Epoch: 25 [39168/46200]	Loss: 0.5782	LR: 0.020000
Training Epoch: 25 [39424/46200]	Loss: 0.5737	LR: 0.020000
Training Epoch: 25 [39680/46200]	Loss: 0.4204	LR: 0.020000
Training Epoch: 25 [39936/46200]	Loss: 0.5640	LR: 0.020000
Training Epoch: 25 [40192/46200]	Loss: 0.7051	LR: 0.020000
Training Epoch: 25 [40448/46200]	Loss: 0.5919	LR: 0.020000
Training Epoch: 25 [40704/46200]	Loss: 0.6298	LR: 0.020000
Training Epoch: 25 [40960/46200]	Loss: 0.5590	LR: 0.020000
Training Epoch: 25 [41216/46200]	Loss: 0.5183	LR: 0.020000
Training Epoch: 25 [41472/46200]	Loss: 0.5896	LR: 0.020000
Training Epoch: 25 [41728/46200]	Loss: 0.5622	LR: 0.020000
Training Epoch: 25 [41984/46200]	Loss: 0.5300	LR: 0.020000
Training Epoch: 25 [42240/46200]	Loss: 0.4945	LR: 0.020000
Training Epoch: 25 [42496/46200]	Loss: 0.6195	LR: 0.020000
Training Epoch: 25 [42752/46200]	Loss: 0.6277	LR: 0.020000
Training Epoch: 25 [43008/46200]	Loss: 0.7553	LR: 0.020000
Training Epoch: 25 [43264/46200]	Loss: 0.5441	LR: 0.020000
Training Epoch: 25 [43520/46200]	Loss: 0.6103	LR: 0.020000
Training Epoch: 25 [43776/46200]	Loss: 0.5933	LR: 0.020000
Training Epoch: 25 [44032/46200]	Loss: 0.5444	LR: 0.020000
Training Epoch: 25 [44288/46200]	Loss: 0.6330	LR: 0.020000
Training Epoch: 25 [44544/46200]	Loss: 0.6710	LR: 0.020000
Training Epoch: 25 [44800/46200]	Loss: 0.5518	LR: 0.020000
Training Epoch: 25 [45056/46200]	Loss: 0.5476	LR: 0.020000
Training Epoch: 25 [45312/46200]	Loss: 0.5402	LR: 0.020000
Training Epoch: 25 [45568/46200]	Loss: 0.6392	LR: 0.020000
Training Epoch: 25 [45824/46200]	Loss: 0.5571	LR: 0.020000
Training Epoch: 25 [46080/46200]	Loss: 0.5343	LR: 0.020000
Training Epoch: 25 [46200/46200]	Loss: 0.7147	LR: 0.020000
Epoch 25 - Average Train Loss: 0.5605, Train Accuracy: 0.8176
Epoch 25 training time consumed: 25.09s
Evaluating Network.....
Test set: Epoch: 25, Average loss: 0.0036, Accuracy: 0.7420, Time consumed:0.89s
Training Epoch: 26 [256/46200]	Loss: 0.5354	LR: 0.020000
Training Epoch: 26 [512/46200]	Loss: 0.4898	LR: 0.020000
Training Epoch: 26 [768/46200]	Loss: 0.3849	LR: 0.020000
Training Epoch: 26 [1024/46200]	Loss: 0.5464	LR: 0.020000
Training Epoch: 26 [1280/46200]	Loss: 0.5775	LR: 0.020000
Training Epoch: 26 [1536/46200]	Loss: 0.5984	LR: 0.020000
Training Epoch: 26 [1792/46200]	Loss: 0.4860	LR: 0.020000
Training Epoch: 26 [2048/46200]	Loss: 0.5319	LR: 0.020000
Training Epoch: 26 [2304/46200]	Loss: 0.5977	LR: 0.020000
Training Epoch: 26 [2560/46200]	Loss: 0.5635	LR: 0.020000
Training Epoch: 26 [2816/46200]	Loss: 0.4744	LR: 0.020000
Training Epoch: 26 [3072/46200]	Loss: 0.5341	LR: 0.020000
Training Epoch: 26 [3328/46200]	Loss: 0.3732	LR: 0.020000
Training Epoch: 26 [3584/46200]	Loss: 0.6113	LR: 0.020000
Training Epoch: 26 [3840/46200]	Loss: 0.6099	LR: 0.020000
Training Epoch: 26 [4096/46200]	Loss: 0.5264	LR: 0.020000
Training Epoch: 26 [4352/46200]	Loss: 0.4959	LR: 0.020000
Training Epoch: 26 [4608/46200]	Loss: 0.5843	LR: 0.020000
Training Epoch: 26 [4864/46200]	Loss: 0.5134	LR: 0.020000
Training Epoch: 26 [5120/46200]	Loss: 0.5493	LR: 0.020000
Training Epoch: 26 [5376/46200]	Loss: 0.6232	LR: 0.020000
Training Epoch: 26 [5632/46200]	Loss: 0.6141	LR: 0.020000
Training Epoch: 26 [5888/46200]	Loss: 0.5956	LR: 0.020000
Training Epoch: 26 [6144/46200]	Loss: 0.5813	LR: 0.020000
Training Epoch: 26 [6400/46200]	Loss: 0.5262	LR: 0.020000
Training Epoch: 26 [6656/46200]	Loss: 0.5480	LR: 0.020000
Training Epoch: 26 [6912/46200]	Loss: 0.5665	LR: 0.020000
Training Epoch: 26 [7168/46200]	Loss: 0.5541	LR: 0.020000
Training Epoch: 26 [7424/46200]	Loss: 0.4654	LR: 0.020000
Training Epoch: 26 [7680/46200]	Loss: 0.6023	LR: 0.020000
Training Epoch: 26 [7936/46200]	Loss: 0.4999	LR: 0.020000
Training Epoch: 26 [8192/46200]	Loss: 0.5010	LR: 0.020000
Training Epoch: 26 [8448/46200]	Loss: 0.4883	LR: 0.020000
Training Epoch: 26 [8704/46200]	Loss: 0.5440	LR: 0.020000
Training Epoch: 26 [8960/46200]	Loss: 0.5628	LR: 0.020000
Training Epoch: 26 [9216/46200]	Loss: 0.5146	LR: 0.020000
Training Epoch: 26 [9472/46200]	Loss: 0.5661	LR: 0.020000
Training Epoch: 26 [9728/46200]	Loss: 0.5025	LR: 0.020000
Training Epoch: 26 [9984/46200]	Loss: 0.5520	LR: 0.020000
Training Epoch: 26 [10240/46200]	Loss: 0.5798	LR: 0.020000
Training Epoch: 26 [10496/46200]	Loss: 0.4924	LR: 0.020000
Training Epoch: 26 [10752/46200]	Loss: 0.5537	LR: 0.020000
Training Epoch: 26 [11008/46200]	Loss: 0.6427	LR: 0.020000
Training Epoch: 26 [11264/46200]	Loss: 0.5181	LR: 0.020000
Training Epoch: 26 [11520/46200]	Loss: 0.6028	LR: 0.020000
Training Epoch: 26 [11776/46200]	Loss: 0.5799	LR: 0.020000
Training Epoch: 26 [12032/46200]	Loss: 0.5436	LR: 0.020000
Training Epoch: 26 [12288/46200]	Loss: 0.6098	LR: 0.020000
Training Epoch: 26 [12544/46200]	Loss: 0.5706	LR: 0.020000
Training Epoch: 26 [12800/46200]	Loss: 0.6043	LR: 0.020000
Training Epoch: 26 [13056/46200]	Loss: 0.5161	LR: 0.020000
Training Epoch: 26 [13312/46200]	Loss: 0.4624	LR: 0.020000
Training Epoch: 26 [13568/46200]	Loss: 0.5480	LR: 0.020000
Training Epoch: 26 [13824/46200]	Loss: 0.5150	LR: 0.020000
Training Epoch: 26 [14080/46200]	Loss: 0.5796	LR: 0.020000
Training Epoch: 26 [14336/46200]	Loss: 0.5321	LR: 0.020000
Training Epoch: 26 [14592/46200]	Loss: 0.5909	LR: 0.020000
Training Epoch: 26 [14848/46200]	Loss: 0.4666	LR: 0.020000
Training Epoch: 26 [15104/46200]	Loss: 0.5803	LR: 0.020000
Training Epoch: 26 [15360/46200]	Loss: 0.5784	LR: 0.020000
Training Epoch: 26 [15616/46200]	Loss: 0.5130	LR: 0.020000
Training Epoch: 26 [15872/46200]	Loss: 0.4888	LR: 0.020000
Training Epoch: 26 [16128/46200]	Loss: 0.6284	LR: 0.020000
Training Epoch: 26 [16384/46200]	Loss: 0.4983	LR: 0.020000
Training Epoch: 26 [16640/46200]	Loss: 0.6522	LR: 0.020000
Training Epoch: 26 [16896/46200]	Loss: 0.5045	LR: 0.020000
Training Epoch: 26 [17152/46200]	Loss: 0.5458	LR: 0.020000
Training Epoch: 26 [17408/46200]	Loss: 0.5808	LR: 0.020000
Training Epoch: 26 [17664/46200]	Loss: 0.5328	LR: 0.020000
Training Epoch: 26 [17920/46200]	Loss: 0.5926	LR: 0.020000
Training Epoch: 26 [18176/46200]	Loss: 0.5373	LR: 0.020000
Training Epoch: 26 [18432/46200]	Loss: 0.5254	LR: 0.020000
Training Epoch: 26 [18688/46200]	Loss: 0.6173	LR: 0.020000
Training Epoch: 26 [18944/46200]	Loss: 0.5228	LR: 0.020000
Training Epoch: 26 [19200/46200]	Loss: 0.5332	LR: 0.020000
Training Epoch: 26 [19456/46200]	Loss: 0.6022	LR: 0.020000
Training Epoch: 26 [19712/46200]	Loss: 0.4524	LR: 0.020000
Training Epoch: 26 [19968/46200]	Loss: 0.5651	LR: 0.020000
Training Epoch: 26 [20224/46200]	Loss: 0.4840	LR: 0.020000
Training Epoch: 26 [20480/46200]	Loss: 0.5026	LR: 0.020000
Training Epoch: 26 [20736/46200]	Loss: 0.5525	LR: 0.020000
Training Epoch: 26 [20992/46200]	Loss: 0.6273	LR: 0.020000
Training Epoch: 26 [21248/46200]	Loss: 0.4987	LR: 0.020000
Training Epoch: 26 [21504/46200]	Loss: 0.5804	LR: 0.020000
Training Epoch: 26 [21760/46200]	Loss: 0.5933	LR: 0.020000
Training Epoch: 26 [22016/46200]	Loss: 0.6164	LR: 0.020000
Training Epoch: 26 [22272/46200]	Loss: 0.5604	LR: 0.020000
Training Epoch: 26 [22528/46200]	Loss: 0.4021	LR: 0.020000
Training Epoch: 26 [22784/46200]	Loss: 0.5238	LR: 0.020000
Training Epoch: 26 [23040/46200]	Loss: 0.6307	LR: 0.020000
Training Epoch: 26 [23296/46200]	Loss: 0.5176	LR: 0.020000
Training Epoch: 26 [23552/46200]	Loss: 0.4937	LR: 0.020000
Training Epoch: 26 [23808/46200]	Loss: 0.5050	LR: 0.020000
Training Epoch: 26 [24064/46200]	Loss: 0.5103	LR: 0.020000
Training Epoch: 26 [24320/46200]	Loss: 0.4944	LR: 0.020000
Training Epoch: 26 [24576/46200]	Loss: 0.4823	LR: 0.020000
Training Epoch: 26 [24832/46200]	Loss: 0.5510	LR: 0.020000
Training Epoch: 26 [25088/46200]	Loss: 0.4284	LR: 0.020000
Training Epoch: 26 [25344/46200]	Loss: 0.5031	LR: 0.020000
Training Epoch: 26 [25600/46200]	Loss: 0.5016	LR: 0.020000
Training Epoch: 26 [25856/46200]	Loss: 0.4891	LR: 0.020000
Training Epoch: 26 [26112/46200]	Loss: 0.4892	LR: 0.020000
Training Epoch: 26 [26368/46200]	Loss: 0.5924	LR: 0.020000
Training Epoch: 26 [26624/46200]	Loss: 0.6474	LR: 0.020000
Training Epoch: 26 [26880/46200]	Loss: 0.5141	LR: 0.020000
Training Epoch: 26 [27136/46200]	Loss: 0.5506	LR: 0.020000
Training Epoch: 26 [27392/46200]	Loss: 0.5346	LR: 0.020000
Training Epoch: 26 [27648/46200]	Loss: 0.5807	LR: 0.020000
Training Epoch: 26 [27904/46200]	Loss: 0.6166	LR: 0.020000
Training Epoch: 26 [28160/46200]	Loss: 0.5539	LR: 0.020000
Training Epoch: 26 [28416/46200]	Loss: 0.5120	LR: 0.020000
Training Epoch: 26 [28672/46200]	Loss: 0.5910	LR: 0.020000
Training Epoch: 26 [28928/46200]	Loss: 0.5599	LR: 0.020000
Training Epoch: 26 [29184/46200]	Loss: 0.6019	LR: 0.020000
Training Epoch: 26 [29440/46200]	Loss: 0.6116	LR: 0.020000
Training Epoch: 26 [29696/46200]	Loss: 0.6236	LR: 0.020000
Training Epoch: 26 [29952/46200]	Loss: 0.5167	LR: 0.020000
Training Epoch: 26 [30208/46200]	Loss: 0.4902	LR: 0.020000
Training Epoch: 26 [30464/46200]	Loss: 0.5696	LR: 0.020000
Training Epoch: 26 [30720/46200]	Loss: 0.5488	LR: 0.020000
Training Epoch: 26 [30976/46200]	Loss: 0.4668	LR: 0.020000
Training Epoch: 26 [31232/46200]	Loss: 0.5797	LR: 0.020000
Training Epoch: 26 [31488/46200]	Loss: 0.5584	LR: 0.020000
Training Epoch: 26 [31744/46200]	Loss: 0.5782	LR: 0.020000
Training Epoch: 26 [32000/46200]	Loss: 0.6683	LR: 0.020000
Training Epoch: 26 [32256/46200]	Loss: 0.5492	LR: 0.020000
Training Epoch: 26 [32512/46200]	Loss: 0.5897	LR: 0.020000
Training Epoch: 26 [32768/46200]	Loss: 0.6378	LR: 0.020000
Training Epoch: 26 [33024/46200]	Loss: 0.5156	LR: 0.020000
Training Epoch: 26 [33280/46200]	Loss: 0.5643	LR: 0.020000
Training Epoch: 26 [33536/46200]	Loss: 0.4958	LR: 0.020000
Training Epoch: 26 [33792/46200]	Loss: 0.5488	LR: 0.020000
Training Epoch: 26 [34048/46200]	Loss: 0.5893	LR: 0.020000
Training Epoch: 26 [34304/46200]	Loss: 0.4473	LR: 0.020000
Training Epoch: 26 [34560/46200]	Loss: 0.5794	LR: 0.020000
Training Epoch: 26 [34816/46200]	Loss: 0.5029	LR: 0.020000
Training Epoch: 26 [35072/46200]	Loss: 0.5552	LR: 0.020000
Training Epoch: 26 [35328/46200]	Loss: 0.5125	LR: 0.020000
Training Epoch: 26 [35584/46200]	Loss: 0.5842	LR: 0.020000
Training Epoch: 26 [35840/46200]	Loss: 0.5183	LR: 0.020000
Training Epoch: 26 [36096/46200]	Loss: 0.5313	LR: 0.020000
Training Epoch: 26 [36352/46200]	Loss: 0.4806	LR: 0.020000
Training Epoch: 26 [36608/46200]	Loss: 0.4917	LR: 0.020000
Training Epoch: 26 [36864/46200]	Loss: 0.6112	LR: 0.020000
Training Epoch: 26 [37120/46200]	Loss: 0.5778	LR: 0.020000
Training Epoch: 26 [37376/46200]	Loss: 0.4932	LR: 0.020000
Training Epoch: 26 [37632/46200]	Loss: 0.5285	LR: 0.020000
Training Epoch: 26 [37888/46200]	Loss: 0.4705	LR: 0.020000
Training Epoch: 26 [38144/46200]	Loss: 0.6893	LR: 0.020000
Training Epoch: 26 [38400/46200]	Loss: 0.5379	LR: 0.020000
Training Epoch: 26 [38656/46200]	Loss: 0.4960	LR: 0.020000
Training Epoch: 26 [38912/46200]	Loss: 0.5668	LR: 0.020000
Training Epoch: 26 [39168/46200]	Loss: 0.5907	LR: 0.020000
Training Epoch: 26 [39424/46200]	Loss: 0.5400	LR: 0.020000
Training Epoch: 26 [39680/46200]	Loss: 0.6137	LR: 0.020000
Training Epoch: 26 [39936/46200]	Loss: 0.5247	LR: 0.020000
Training Epoch: 26 [40192/46200]	Loss: 0.5107	LR: 0.020000
Training Epoch: 26 [40448/46200]	Loss: 0.5205	LR: 0.020000
Training Epoch: 26 [40704/46200]	Loss: 0.5309	LR: 0.020000
Training Epoch: 26 [40960/46200]	Loss: 0.4728	LR: 0.020000
Training Epoch: 26 [41216/46200]	Loss: 0.4464	LR: 0.020000
Training Epoch: 26 [41472/46200]	Loss: 0.5292	LR: 0.020000
Training Epoch: 26 [41728/46200]	Loss: 0.6240	LR: 0.020000
Training Epoch: 26 [41984/46200]	Loss: 0.5719	LR: 0.020000
Training Epoch: 26 [42240/46200]	Loss: 0.5189	LR: 0.020000
Training Epoch: 26 [42496/46200]	Loss: 0.5601	LR: 0.020000
Training Epoch: 26 [42752/46200]	Loss: 0.5402	LR: 0.020000
Training Epoch: 26 [43008/46200]	Loss: 0.5724	LR: 0.020000
Training Epoch: 26 [43264/46200]	Loss: 0.5756	LR: 0.020000
Training Epoch: 26 [43520/46200]	Loss: 0.5519	LR: 0.020000
Training Epoch: 26 [43776/46200]	Loss: 0.5406	LR: 0.020000
Training Epoch: 26 [44032/46200]	Loss: 0.4894	LR: 0.020000
Training Epoch: 26 [44288/46200]	Loss: 0.6032	LR: 0.020000
Training Epoch: 26 [44544/46200]	Loss: 0.5532	LR: 0.020000
Training Epoch: 26 [44800/46200]	Loss: 0.5652	LR: 0.020000
Training Epoch: 26 [45056/46200]	Loss: 0.6493	LR: 0.020000
Training Epoch: 26 [45312/46200]	Loss: 0.4858	LR: 0.020000
Training Epoch: 26 [45568/46200]	Loss: 0.5884	LR: 0.020000
Training Epoch: 26 [45824/46200]	Loss: 0.6416	LR: 0.020000
Training Epoch: 26 [46080/46200]	Loss: 0.5923	LR: 0.020000
Training Epoch: 26 [46200/46200]	Loss: 0.5569	LR: 0.020000
Epoch 26 - Average Train Loss: 0.5463, Train Accuracy: 0.8232
Epoch 26 training time consumed: 25.19s
Evaluating Network.....
Test set: Epoch: 26, Average loss: 0.0039, Accuracy: 0.7261, Time consumed:0.96s
Training Epoch: 27 [256/46200]	Loss: 0.4975	LR: 0.020000
Training Epoch: 27 [512/46200]	Loss: 0.5572	LR: 0.020000
Training Epoch: 27 [768/46200]	Loss: 0.6047	LR: 0.020000
Training Epoch: 27 [1024/46200]	Loss: 0.6088	LR: 0.020000
Training Epoch: 27 [1280/46200]	Loss: 0.4787	LR: 0.020000
Training Epoch: 27 [1536/46200]	Loss: 0.6075	LR: 0.020000
Training Epoch: 27 [1792/46200]	Loss: 0.5550	LR: 0.020000
Training Epoch: 27 [2048/46200]	Loss: 0.5322	LR: 0.020000
Training Epoch: 27 [2304/46200]	Loss: 0.4006	LR: 0.020000
Training Epoch: 27 [2560/46200]	Loss: 0.5569	LR: 0.020000
Training Epoch: 27 [2816/46200]	Loss: 0.4878	LR: 0.020000
Training Epoch: 27 [3072/46200]	Loss: 0.4740	LR: 0.020000
Training Epoch: 27 [3328/46200]	Loss: 0.5930	LR: 0.020000
Training Epoch: 27 [3584/46200]	Loss: 0.5607	LR: 0.020000
Training Epoch: 27 [3840/46200]	Loss: 0.4286	LR: 0.020000
Training Epoch: 27 [4096/46200]	Loss: 0.5429	LR: 0.020000
Training Epoch: 27 [4352/46200]	Loss: 0.4700	LR: 0.020000
Training Epoch: 27 [4608/46200]	Loss: 0.5865	LR: 0.020000
Training Epoch: 27 [4864/46200]	Loss: 0.4918	LR: 0.020000
Training Epoch: 27 [5120/46200]	Loss: 0.6012	LR: 0.020000
Training Epoch: 27 [5376/46200]	Loss: 0.5169	LR: 0.020000
Training Epoch: 27 [5632/46200]	Loss: 0.5132	LR: 0.020000
Training Epoch: 27 [5888/46200]	Loss: 0.5812	LR: 0.020000
Training Epoch: 27 [6144/46200]	Loss: 0.4922	LR: 0.020000
Training Epoch: 27 [6400/46200]	Loss: 0.4941	LR: 0.020000
Training Epoch: 27 [6656/46200]	Loss: 0.5373	LR: 0.020000
Training Epoch: 27 [6912/46200]	Loss: 0.4549	LR: 0.020000
Training Epoch: 27 [7168/46200]	Loss: 0.5143	LR: 0.020000
Training Epoch: 27 [7424/46200]	Loss: 0.5010	LR: 0.020000
Training Epoch: 27 [7680/46200]	Loss: 0.4322	LR: 0.020000
Training Epoch: 27 [7936/46200]	Loss: 0.5566	LR: 0.020000
Training Epoch: 27 [8192/46200]	Loss: 0.5342	LR: 0.020000
Training Epoch: 27 [8448/46200]	Loss: 0.5517	LR: 0.020000
Training Epoch: 27 [8704/46200]	Loss: 0.4992	LR: 0.020000
Training Epoch: 27 [8960/46200]	Loss: 0.5782	LR: 0.020000
Training Epoch: 27 [9216/46200]	Loss: 0.5149	LR: 0.020000
Training Epoch: 27 [9472/46200]	Loss: 0.5045	LR: 0.020000
Training Epoch: 27 [9728/46200]	Loss: 0.4843	LR: 0.020000
Training Epoch: 27 [9984/46200]	Loss: 0.4859	LR: 0.020000
Training Epoch: 27 [10240/46200]	Loss: 0.5827	LR: 0.020000
Training Epoch: 27 [10496/46200]	Loss: 0.4701	LR: 0.020000
Training Epoch: 27 [10752/46200]	Loss: 0.5301	LR: 0.020000
Training Epoch: 27 [11008/46200]	Loss: 0.5130	LR: 0.020000
Training Epoch: 27 [11264/46200]	Loss: 0.5207	LR: 0.020000
Training Epoch: 27 [11520/46200]	Loss: 0.5417	LR: 0.020000
Training Epoch: 27 [11776/46200]	Loss: 0.5227	LR: 0.020000
Training Epoch: 27 [12032/46200]	Loss: 0.4472	LR: 0.020000
Training Epoch: 27 [12288/46200]	Loss: 0.5260	LR: 0.020000
Training Epoch: 27 [12544/46200]	Loss: 0.5110	LR: 0.020000
Training Epoch: 27 [12800/46200]	Loss: 0.5285	LR: 0.020000
Training Epoch: 27 [13056/46200]	Loss: 0.5020	LR: 0.020000
Training Epoch: 27 [13312/46200]	Loss: 0.5128	LR: 0.020000
Training Epoch: 27 [13568/46200]	Loss: 0.4829	LR: 0.020000
Training Epoch: 27 [13824/46200]	Loss: 0.4918	LR: 0.020000
Training Epoch: 27 [14080/46200]	Loss: 0.4974	LR: 0.020000
Training Epoch: 27 [14336/46200]	Loss: 0.5560	LR: 0.020000
Training Epoch: 27 [14592/46200]	Loss: 0.5274	LR: 0.020000
Training Epoch: 27 [14848/46200]	Loss: 0.5584	LR: 0.020000
Training Epoch: 27 [15104/46200]	Loss: 0.4537	LR: 0.020000
Training Epoch: 27 [15360/46200]	Loss: 0.5334	LR: 0.020000
Training Epoch: 27 [15616/46200]	Loss: 0.5401	LR: 0.020000
Training Epoch: 27 [15872/46200]	Loss: 0.4878	LR: 0.020000
Training Epoch: 27 [16128/46200]	Loss: 0.5494	LR: 0.020000
Training Epoch: 27 [16384/46200]	Loss: 0.5138	LR: 0.020000
Training Epoch: 27 [16640/46200]	Loss: 0.4910	LR: 0.020000
Training Epoch: 27 [16896/46200]	Loss: 0.5015	LR: 0.020000
Training Epoch: 27 [17152/46200]	Loss: 0.5924	LR: 0.020000
Training Epoch: 27 [17408/46200]	Loss: 0.4990	LR: 0.020000
Training Epoch: 27 [17664/46200]	Loss: 0.5283	LR: 0.020000
Training Epoch: 27 [17920/46200]	Loss: 0.4211	LR: 0.020000
Training Epoch: 27 [18176/46200]	Loss: 0.6249	LR: 0.020000
Training Epoch: 27 [18432/46200]	Loss: 0.5633	LR: 0.020000
Training Epoch: 27 [18688/46200]	Loss: 0.5702	LR: 0.020000
Training Epoch: 27 [18944/46200]	Loss: 0.5364	LR: 0.020000
Training Epoch: 27 [19200/46200]	Loss: 0.5744	LR: 0.020000
Training Epoch: 27 [19456/46200]	Loss: 0.6964	LR: 0.020000
Training Epoch: 27 [19712/46200]	Loss: 0.5066	LR: 0.020000
Training Epoch: 27 [19968/46200]	Loss: 0.5508	LR: 0.020000
Training Epoch: 27 [20224/46200]	Loss: 0.5441	LR: 0.020000
Training Epoch: 27 [20480/46200]	Loss: 0.4665	LR: 0.020000
Training Epoch: 27 [20736/46200]	Loss: 0.6433	LR: 0.020000
Training Epoch: 27 [20992/46200]	Loss: 0.5379	LR: 0.020000
Training Epoch: 27 [21248/46200]	Loss: 0.4302	LR: 0.020000
Training Epoch: 27 [21504/46200]	Loss: 0.4760	LR: 0.020000
Training Epoch: 27 [21760/46200]	Loss: 0.6202	LR: 0.020000
Training Epoch: 27 [22016/46200]	Loss: 0.4956	LR: 0.020000
Training Epoch: 27 [22272/46200]	Loss: 0.5329	LR: 0.020000
Training Epoch: 27 [22528/46200]	Loss: 0.6062	LR: 0.020000
Training Epoch: 27 [22784/46200]	Loss: 0.5700	LR: 0.020000
Training Epoch: 27 [23040/46200]	Loss: 0.5104	LR: 0.020000
Training Epoch: 27 [23296/46200]	Loss: 0.4350	LR: 0.020000
Training Epoch: 27 [23552/46200]	Loss: 0.5545	LR: 0.020000
Training Epoch: 27 [23808/46200]	Loss: 0.5273	LR: 0.020000
Training Epoch: 27 [24064/46200]	Loss: 0.4792	LR: 0.020000
Training Epoch: 27 [24320/46200]	Loss: 0.4796	LR: 0.020000
Training Epoch: 27 [24576/46200]	Loss: 0.5813	LR: 0.020000
Training Epoch: 27 [24832/46200]	Loss: 0.5082	LR: 0.020000
Training Epoch: 27 [25088/46200]	Loss: 0.6040	LR: 0.020000
Training Epoch: 27 [25344/46200]	Loss: 0.4963	LR: 0.020000
Training Epoch: 27 [25600/46200]	Loss: 0.6023	LR: 0.020000
Training Epoch: 27 [25856/46200]	Loss: 0.5581	LR: 0.020000
Training Epoch: 27 [26112/46200]	Loss: 0.5231	LR: 0.020000
Training Epoch: 27 [26368/46200]	Loss: 0.6238	LR: 0.020000
Training Epoch: 27 [26624/46200]	Loss: 0.5246	LR: 0.020000
Training Epoch: 27 [26880/46200]	Loss: 0.5872	LR: 0.020000
Training Epoch: 27 [27136/46200]	Loss: 0.4667	LR: 0.020000
Training Epoch: 27 [27392/46200]	Loss: 0.5261	LR: 0.020000
Training Epoch: 27 [27648/46200]	Loss: 0.4862	LR: 0.020000
Training Epoch: 27 [27904/46200]	Loss: 0.5772	LR: 0.020000
Training Epoch: 27 [28160/46200]	Loss: 0.4750	LR: 0.020000
Training Epoch: 27 [28416/46200]	Loss: 0.6294	LR: 0.020000
Training Epoch: 27 [28672/46200]	Loss: 0.5366	LR: 0.020000
Training Epoch: 27 [28928/46200]	Loss: 0.5609	LR: 0.020000
Training Epoch: 27 [29184/46200]	Loss: 0.6135	LR: 0.020000
Training Epoch: 27 [29440/46200]	Loss: 0.5147	LR: 0.020000
Training Epoch: 27 [29696/46200]	Loss: 0.4685	LR: 0.020000
Training Epoch: 27 [29952/46200]	Loss: 0.6033	LR: 0.020000
Training Epoch: 27 [30208/46200]	Loss: 0.5242	LR: 0.020000
Training Epoch: 27 [30464/46200]	Loss: 0.4665	LR: 0.020000
Training Epoch: 27 [30720/46200]	Loss: 0.4430	LR: 0.020000
Training Epoch: 27 [30976/46200]	Loss: 0.5554	LR: 0.020000
Training Epoch: 27 [31232/46200]	Loss: 0.4878	LR: 0.020000
Training Epoch: 27 [31488/46200]	Loss: 0.4756	LR: 0.020000
Training Epoch: 27 [31744/46200]	Loss: 0.6652	LR: 0.020000
Training Epoch: 27 [32000/46200]	Loss: 0.5116	LR: 0.020000
Training Epoch: 27 [32256/46200]	Loss: 0.5146	LR: 0.020000
Training Epoch: 27 [32512/46200]	Loss: 0.5334	LR: 0.020000
Training Epoch: 27 [32768/46200]	Loss: 0.5329	LR: 0.020000
Training Epoch: 27 [33024/46200]	Loss: 0.5396	LR: 0.020000
Training Epoch: 27 [33280/46200]	Loss: 0.5540	LR: 0.020000
Training Epoch: 27 [33536/46200]	Loss: 0.5195	LR: 0.020000
Training Epoch: 27 [33792/46200]	Loss: 0.4970	LR: 0.020000
Training Epoch: 27 [34048/46200]	Loss: 0.4967	LR: 0.020000
Training Epoch: 27 [34304/46200]	Loss: 0.7440	LR: 0.020000
Training Epoch: 27 [34560/46200]	Loss: 0.5087	LR: 0.020000
Training Epoch: 27 [34816/46200]	Loss: 0.4379	LR: 0.020000
Training Epoch: 27 [35072/46200]	Loss: 0.3581	LR: 0.020000
Training Epoch: 27 [35328/46200]	Loss: 0.4940	LR: 0.020000
Training Epoch: 27 [35584/46200]	Loss: 0.5609	LR: 0.020000
Training Epoch: 27 [35840/46200]	Loss: 0.5325	LR: 0.020000
Training Epoch: 27 [36096/46200]	Loss: 0.5974	LR: 0.020000
Training Epoch: 27 [36352/46200]	Loss: 0.5589	LR: 0.020000
Training Epoch: 27 [36608/46200]	Loss: 0.4619	LR: 0.020000
Training Epoch: 27 [36864/46200]	Loss: 0.5098	LR: 0.020000
Training Epoch: 27 [37120/46200]	Loss: 0.5265	LR: 0.020000
Training Epoch: 27 [37376/46200]	Loss: 0.5569	LR: 0.020000
Training Epoch: 27 [37632/46200]	Loss: 0.4717	LR: 0.020000
Training Epoch: 27 [37888/46200]	Loss: 0.5426	LR: 0.020000
Training Epoch: 27 [38144/46200]	Loss: 0.4824	LR: 0.020000
Training Epoch: 27 [38400/46200]	Loss: 0.5312	LR: 0.020000
Training Epoch: 27 [38656/46200]	Loss: 0.5145	LR: 0.020000
Training Epoch: 27 [38912/46200]	Loss: 0.4498	LR: 0.020000
Training Epoch: 27 [39168/46200]	Loss: 0.5688	LR: 0.020000
Training Epoch: 27 [39424/46200]	Loss: 0.5579	LR: 0.020000
Training Epoch: 27 [39680/46200]	Loss: 0.5659	LR: 0.020000
Training Epoch: 27 [39936/46200]	Loss: 0.5939	LR: 0.020000
Training Epoch: 27 [40192/46200]	Loss: 0.6162	LR: 0.020000
Training Epoch: 27 [40448/46200]	Loss: 0.6073	LR: 0.020000
Training Epoch: 27 [40704/46200]	Loss: 0.5514	LR: 0.020000
Training Epoch: 27 [40960/46200]	Loss: 0.5261	LR: 0.020000
Training Epoch: 27 [41216/46200]	Loss: 0.5225	LR: 0.020000
Training Epoch: 27 [41472/46200]	Loss: 0.5389	LR: 0.020000
Training Epoch: 27 [41728/46200]	Loss: 0.5698	LR: 0.020000
Training Epoch: 27 [41984/46200]	Loss: 0.6582	LR: 0.020000
Training Epoch: 27 [42240/46200]	Loss: 0.6169	LR: 0.020000
Training Epoch: 27 [42496/46200]	Loss: 0.5352	LR: 0.020000
Training Epoch: 27 [42752/46200]	Loss: 0.4992	LR: 0.020000
Training Epoch: 27 [43008/46200]	Loss: 0.6767	LR: 0.020000
Training Epoch: 27 [43264/46200]	Loss: 0.5239	LR: 0.020000
Training Epoch: 27 [43520/46200]	Loss: 0.5393	LR: 0.020000
Training Epoch: 27 [43776/46200]	Loss: 0.5848	LR: 0.020000
Training Epoch: 27 [44032/46200]	Loss: 0.5963	LR: 0.020000
Training Epoch: 27 [44288/46200]	Loss: 0.5306	LR: 0.020000
Training Epoch: 27 [44544/46200]	Loss: 0.6104	LR: 0.020000
Training Epoch: 27 [44800/46200]	Loss: 0.5996	LR: 0.020000
Training Epoch: 27 [45056/46200]	Loss: 0.5093	LR: 0.020000
Training Epoch: 27 [45312/46200]	Loss: 0.5542	LR: 0.020000
Training Epoch: 27 [45568/46200]	Loss: 0.5928	LR: 0.020000
Training Epoch: 27 [45824/46200]	Loss: 0.5894	LR: 0.020000
Training Epoch: 27 [46080/46200]	Loss: 0.6357	LR: 0.020000
Training Epoch: 27 [46200/46200]	Loss: 0.6170	LR: 0.020000
Epoch 27 - Average Train Loss: 0.5343, Train Accuracy: 0.8241
Epoch 27 training time consumed: 25.22s
Evaluating Network.....
Test set: Epoch: 27, Average loss: 0.0037, Accuracy: 0.7334, Time consumed:0.94s
Training Epoch: 28 [256/46200]	Loss: 0.4729	LR: 0.020000
Training Epoch: 28 [512/46200]	Loss: 0.5440	LR: 0.020000
Training Epoch: 28 [768/46200]	Loss: 0.4502	LR: 0.020000
Training Epoch: 28 [1024/46200]	Loss: 0.5134	LR: 0.020000
Training Epoch: 28 [1280/46200]	Loss: 0.4477	LR: 0.020000
Training Epoch: 28 [1536/46200]	Loss: 0.5393	LR: 0.020000
Training Epoch: 28 [1792/46200]	Loss: 0.5735	LR: 0.020000
Training Epoch: 28 [2048/46200]	Loss: 0.5575	LR: 0.020000
Training Epoch: 28 [2304/46200]	Loss: 0.4516	LR: 0.020000
Training Epoch: 28 [2560/46200]	Loss: 0.4637	LR: 0.020000
Training Epoch: 28 [2816/46200]	Loss: 0.6068	LR: 0.020000
Training Epoch: 28 [3072/46200]	Loss: 0.4411	LR: 0.020000
Training Epoch: 28 [3328/46200]	Loss: 0.4963	LR: 0.020000
Training Epoch: 28 [3584/46200]	Loss: 0.4909	LR: 0.020000
Training Epoch: 28 [3840/46200]	Loss: 0.4994	LR: 0.020000
Training Epoch: 28 [4096/46200]	Loss: 0.5043	LR: 0.020000
Training Epoch: 28 [4352/46200]	Loss: 0.4592	LR: 0.020000
Training Epoch: 28 [4608/46200]	Loss: 0.4229	LR: 0.020000
Training Epoch: 28 [4864/46200]	Loss: 0.5033	LR: 0.020000
Training Epoch: 28 [5120/46200]	Loss: 0.5546	LR: 0.020000
Training Epoch: 28 [5376/46200]	Loss: 0.5678	LR: 0.020000
Training Epoch: 28 [5632/46200]	Loss: 0.5441	LR: 0.020000
Training Epoch: 28 [5888/46200]	Loss: 0.5912	LR: 0.020000
Training Epoch: 28 [6144/46200]	Loss: 0.4833	LR: 0.020000
Training Epoch: 28 [6400/46200]	Loss: 0.5370	LR: 0.020000
Training Epoch: 28 [6656/46200]	Loss: 0.5761	LR: 0.020000
Training Epoch: 28 [6912/46200]	Loss: 0.4583	LR: 0.020000
Training Epoch: 28 [7168/46200]	Loss: 0.5100	LR: 0.020000
Training Epoch: 28 [7424/46200]	Loss: 0.6002	LR: 0.020000
Training Epoch: 28 [7680/46200]	Loss: 0.5034	LR: 0.020000
Training Epoch: 28 [7936/46200]	Loss: 0.5793	LR: 0.020000
Training Epoch: 28 [8192/46200]	Loss: 0.4936	LR: 0.020000
Training Epoch: 28 [8448/46200]	Loss: 0.4864	LR: 0.020000
Training Epoch: 28 [8704/46200]	Loss: 0.4717	LR: 0.020000
Training Epoch: 28 [8960/46200]	Loss: 0.4987	LR: 0.020000
Training Epoch: 28 [9216/46200]	Loss: 0.4919	LR: 0.020000
Training Epoch: 28 [9472/46200]	Loss: 0.4456	LR: 0.020000
Training Epoch: 28 [9728/46200]	Loss: 0.4443	LR: 0.020000
Training Epoch: 28 [9984/46200]	Loss: 0.4942	LR: 0.020000
Training Epoch: 28 [10240/46200]	Loss: 0.5491	LR: 0.020000
Training Epoch: 28 [10496/46200]	Loss: 0.5402	LR: 0.020000
Training Epoch: 28 [10752/46200]	Loss: 0.5504	LR: 0.020000
Training Epoch: 28 [11008/46200]	Loss: 0.6527	LR: 0.020000
Training Epoch: 28 [11264/46200]	Loss: 0.4692	LR: 0.020000
Training Epoch: 28 [11520/46200]	Loss: 0.4677	LR: 0.020000
Training Epoch: 28 [11776/46200]	Loss: 0.5334	LR: 0.020000
Training Epoch: 28 [12032/46200]	Loss: 0.4949	LR: 0.020000
Training Epoch: 28 [12288/46200]	Loss: 0.5720	LR: 0.020000
Training Epoch: 28 [12544/46200]	Loss: 0.6066	LR: 0.020000
Training Epoch: 28 [12800/46200]	Loss: 0.5247	LR: 0.020000
Training Epoch: 28 [13056/46200]	Loss: 0.4590	LR: 0.020000
Training Epoch: 28 [13312/46200]	Loss: 0.5351	LR: 0.020000
Training Epoch: 28 [13568/46200]	Loss: 0.5756	LR: 0.020000
Training Epoch: 28 [13824/46200]	Loss: 0.4881	LR: 0.020000
Training Epoch: 28 [14080/46200]	Loss: 0.5133	LR: 0.020000
Training Epoch: 28 [14336/46200]	Loss: 0.4761	LR: 0.020000
Training Epoch: 28 [14592/46200]	Loss: 0.5988	LR: 0.020000
Training Epoch: 28 [14848/46200]	Loss: 0.5392	LR: 0.020000
Training Epoch: 28 [15104/46200]	Loss: 0.4541	LR: 0.020000
Training Epoch: 28 [15360/46200]	Loss: 0.5194	LR: 0.020000
Training Epoch: 28 [15616/46200]	Loss: 0.5184	LR: 0.020000
Training Epoch: 28 [15872/46200]	Loss: 0.5306	LR: 0.020000
Training Epoch: 28 [16128/46200]	Loss: 0.5048	LR: 0.020000
Training Epoch: 28 [16384/46200]	Loss: 0.4794	LR: 0.020000
Training Epoch: 28 [16640/46200]	Loss: 0.4934	LR: 0.020000
Training Epoch: 28 [16896/46200]	Loss: 0.5228	LR: 0.020000
Training Epoch: 28 [17152/46200]	Loss: 0.5445	LR: 0.020000
Training Epoch: 28 [17408/46200]	Loss: 0.4496	LR: 0.020000
Training Epoch: 28 [17664/46200]	Loss: 0.5416	LR: 0.020000
Training Epoch: 28 [17920/46200]	Loss: 0.4683	LR: 0.020000
Training Epoch: 28 [18176/46200]	Loss: 0.5877	LR: 0.020000
Training Epoch: 28 [18432/46200]	Loss: 0.5725	LR: 0.020000
Training Epoch: 28 [18688/46200]	Loss: 0.4735	LR: 0.020000
Training Epoch: 28 [18944/46200]	Loss: 0.4557	LR: 0.020000
Training Epoch: 28 [19200/46200]	Loss: 0.5034	LR: 0.020000
Training Epoch: 28 [19456/46200]	Loss: 0.4850	LR: 0.020000
Training Epoch: 28 [19712/46200]	Loss: 0.6289	LR: 0.020000
Training Epoch: 28 [19968/46200]	Loss: 0.4840	LR: 0.020000
Training Epoch: 28 [20224/46200]	Loss: 0.4740	LR: 0.020000
Training Epoch: 28 [20480/46200]	Loss: 0.5604	LR: 0.020000
Training Epoch: 28 [20736/46200]	Loss: 0.4527	LR: 0.020000
Training Epoch: 28 [20992/46200]	Loss: 0.5600	LR: 0.020000
Training Epoch: 28 [21248/46200]	Loss: 0.5649	LR: 0.020000
Training Epoch: 28 [21504/46200]	Loss: 0.5357	LR: 0.020000
Training Epoch: 28 [21760/46200]	Loss: 0.5438	LR: 0.020000
Training Epoch: 28 [22016/46200]	Loss: 0.4775	LR: 0.020000
Training Epoch: 28 [22272/46200]	Loss: 0.4385	LR: 0.020000
Training Epoch: 28 [22528/46200]	Loss: 0.4450	LR: 0.020000
Training Epoch: 28 [22784/46200]	Loss: 0.5415	LR: 0.020000
Training Epoch: 28 [23040/46200]	Loss: 0.6023	LR: 0.020000
Training Epoch: 28 [23296/46200]	Loss: 0.5187	LR: 0.020000
Training Epoch: 28 [23552/46200]	Loss: 0.4881	LR: 0.020000
Training Epoch: 28 [23808/46200]	Loss: 0.6369	LR: 0.020000
Training Epoch: 28 [24064/46200]	Loss: 0.4369	LR: 0.020000
Training Epoch: 28 [24320/46200]	Loss: 0.5460	LR: 0.020000
Training Epoch: 28 [24576/46200]	Loss: 0.5789	LR: 0.020000
Training Epoch: 28 [24832/46200]	Loss: 0.5869	LR: 0.020000
Training Epoch: 28 [25088/46200]	Loss: 0.4496	LR: 0.020000
Training Epoch: 28 [25344/46200]	Loss: 0.4993	LR: 0.020000
Training Epoch: 28 [25600/46200]	Loss: 0.5015	LR: 0.020000
Training Epoch: 28 [25856/46200]	Loss: 0.5559	LR: 0.020000
Training Epoch: 28 [26112/46200]	Loss: 0.5897	LR: 0.020000
Training Epoch: 28 [26368/46200]	Loss: 0.5032	LR: 0.020000
Training Epoch: 28 [26624/46200]	Loss: 0.5400	LR: 0.020000
Training Epoch: 28 [26880/46200]	Loss: 0.5619	LR: 0.020000
Training Epoch: 28 [27136/46200]	Loss: 0.5612	LR: 0.020000
Training Epoch: 28 [27392/46200]	Loss: 0.5265	LR: 0.020000
Training Epoch: 28 [27648/46200]	Loss: 0.4897	LR: 0.020000
Training Epoch: 28 [27904/46200]	Loss: 0.4705	LR: 0.020000
Training Epoch: 28 [28160/46200]	Loss: 0.4651	LR: 0.020000
Training Epoch: 28 [28416/46200]	Loss: 0.5365	LR: 0.020000
Training Epoch: 28 [28672/46200]	Loss: 0.4364	LR: 0.020000
Training Epoch: 28 [28928/46200]	Loss: 0.5611	LR: 0.020000
Training Epoch: 28 [29184/46200]	Loss: 0.6677	LR: 0.020000
Training Epoch: 28 [29440/46200]	Loss: 0.5235	LR: 0.020000
Training Epoch: 28 [29696/46200]	Loss: 0.5526	LR: 0.020000
Training Epoch: 28 [29952/46200]	Loss: 0.6327	LR: 0.020000
Training Epoch: 28 [30208/46200]	Loss: 0.5261	LR: 0.020000
Training Epoch: 28 [30464/46200]	Loss: 0.5626	LR: 0.020000
Training Epoch: 28 [30720/46200]	Loss: 0.5885	LR: 0.020000
Training Epoch: 28 [30976/46200]	Loss: 0.6428	LR: 0.020000
Training Epoch: 28 [31232/46200]	Loss: 0.4644	LR: 0.020000
Training Epoch: 28 [31488/46200]	Loss: 0.4187	LR: 0.020000
Training Epoch: 28 [31744/46200]	Loss: 0.5592	LR: 0.020000
Training Epoch: 28 [32000/46200]	Loss: 0.6005	LR: 0.020000
Training Epoch: 28 [32256/46200]	Loss: 0.5016	LR: 0.020000
Training Epoch: 28 [32512/46200]	Loss: 0.5351	LR: 0.020000
Training Epoch: 28 [32768/46200]	Loss: 0.5404	LR: 0.020000
Training Epoch: 28 [33024/46200]	Loss: 0.5288	LR: 0.020000
Training Epoch: 28 [33280/46200]	Loss: 0.5587	LR: 0.020000
Training Epoch: 28 [33536/46200]	Loss: 0.5744	LR: 0.020000
Training Epoch: 28 [33792/46200]	Loss: 0.4992	LR: 0.020000
Training Epoch: 28 [34048/46200]	Loss: 0.6362	LR: 0.020000
Training Epoch: 28 [34304/46200]	Loss: 0.5675	LR: 0.020000
Training Epoch: 28 [34560/46200]	Loss: 0.5261	LR: 0.020000
Training Epoch: 28 [34816/46200]	Loss: 0.5571	LR: 0.020000
Training Epoch: 28 [35072/46200]	Loss: 0.4890	LR: 0.020000
Training Epoch: 28 [35328/46200]	Loss: 0.5015	LR: 0.020000
Training Epoch: 28 [35584/46200]	Loss: 0.4570	LR: 0.020000
Training Epoch: 28 [35840/46200]	Loss: 0.6894	LR: 0.020000
Training Epoch: 28 [36096/46200]	Loss: 0.4892	LR: 0.020000
Training Epoch: 28 [36352/46200]	Loss: 0.3919	LR: 0.020000
Training Epoch: 28 [36608/46200]	Loss: 0.5752	LR: 0.020000
Training Epoch: 28 [36864/46200]	Loss: 0.4898	LR: 0.020000
Training Epoch: 28 [37120/46200]	Loss: 0.5362	LR: 0.020000
Training Epoch: 28 [37376/46200]	Loss: 0.6056	LR: 0.020000
Training Epoch: 28 [37632/46200]	Loss: 0.5380	LR: 0.020000
Training Epoch: 28 [37888/46200]	Loss: 0.4599	LR: 0.020000
Training Epoch: 28 [38144/46200]	Loss: 0.4452	LR: 0.020000
Training Epoch: 28 [38400/46200]	Loss: 0.5495	LR: 0.020000
Training Epoch: 28 [38656/46200]	Loss: 0.4797	LR: 0.020000
Training Epoch: 28 [38912/46200]	Loss: 0.4890	LR: 0.020000
Training Epoch: 28 [39168/46200]	Loss: 0.5078	LR: 0.020000
Training Epoch: 28 [39424/46200]	Loss: 0.4702	LR: 0.020000
Training Epoch: 28 [39680/46200]	Loss: 0.5600	LR: 0.020000
Training Epoch: 28 [39936/46200]	Loss: 0.5108	LR: 0.020000
Training Epoch: 28 [40192/46200]	Loss: 0.5188	LR: 0.020000
Training Epoch: 28 [40448/46200]	Loss: 0.5853	LR: 0.020000
Training Epoch: 28 [40704/46200]	Loss: 0.6109	LR: 0.020000
Training Epoch: 28 [40960/46200]	Loss: 0.5666	LR: 0.020000
Training Epoch: 28 [41216/46200]	Loss: 0.5212	LR: 0.020000
Training Epoch: 28 [41472/46200]	Loss: 0.6230	LR: 0.020000
Training Epoch: 28 [41728/46200]	Loss: 0.5917	LR: 0.020000
Training Epoch: 28 [41984/46200]	Loss: 0.4328	LR: 0.020000
Training Epoch: 28 [42240/46200]	Loss: 0.5672	LR: 0.020000
Training Epoch: 28 [42496/46200]	Loss: 0.5386	LR: 0.020000
Training Epoch: 28 [42752/46200]	Loss: 0.6327	LR: 0.020000
Training Epoch: 28 [43008/46200]	Loss: 0.4314	LR: 0.020000
Training Epoch: 28 [43264/46200]	Loss: 0.4426	LR: 0.020000
Training Epoch: 28 [43520/46200]	Loss: 0.5284	LR: 0.020000
Training Epoch: 28 [43776/46200]	Loss: 0.4847	LR: 0.020000
Training Epoch: 28 [44032/46200]	Loss: 0.5446	LR: 0.020000
Training Epoch: 28 [44288/46200]	Loss: 0.5615	LR: 0.020000
Training Epoch: 28 [44544/46200]	Loss: 0.5560	LR: 0.020000
Training Epoch: 28 [44800/46200]	Loss: 0.6637	LR: 0.020000
Training Epoch: 28 [45056/46200]	Loss: 0.5703	LR: 0.020000
Training Epoch: 28 [45312/46200]	Loss: 0.5137	LR: 0.020000
Training Epoch: 28 [45568/46200]	Loss: 0.4282	LR: 0.020000
Training Epoch: 28 [45824/46200]	Loss: 0.5547	LR: 0.020000
Training Epoch: 28 [46080/46200]	Loss: 0.5517	LR: 0.020000
Training Epoch: 28 [46200/46200]	Loss: 0.5937	LR: 0.020000
Epoch 28 - Average Train Loss: 0.5246, Train Accuracy: 0.8305
Epoch 28 training time consumed: 25.17s
Evaluating Network.....
Test set: Epoch: 28, Average loss: 0.0037, Accuracy: 0.7308, Time consumed:0.90s
Training Epoch: 29 [256/46200]	Loss: 0.4993	LR: 0.020000
Training Epoch: 29 [512/46200]	Loss: 0.4765	LR: 0.020000
Training Epoch: 29 [768/46200]	Loss: 0.5204	LR: 0.020000
Training Epoch: 29 [1024/46200]	Loss: 0.4040	LR: 0.020000
Training Epoch: 29 [1280/46200]	Loss: 0.5536	LR: 0.020000
Training Epoch: 29 [1536/46200]	Loss: 0.4879	LR: 0.020000
Training Epoch: 29 [1792/46200]	Loss: 0.4717	LR: 0.020000
Training Epoch: 29 [2048/46200]	Loss: 0.5083	LR: 0.020000
Training Epoch: 29 [2304/46200]	Loss: 0.5278	LR: 0.020000
Training Epoch: 29 [2560/46200]	Loss: 0.5626	LR: 0.020000
Training Epoch: 29 [2816/46200]	Loss: 0.5955	LR: 0.020000
Training Epoch: 29 [3072/46200]	Loss: 0.6088	LR: 0.020000
Training Epoch: 29 [3328/46200]	Loss: 0.4876	LR: 0.020000
Training Epoch: 29 [3584/46200]	Loss: 0.5286	LR: 0.020000
Training Epoch: 29 [3840/46200]	Loss: 0.4461	LR: 0.020000
Training Epoch: 29 [4096/46200]	Loss: 0.4498	LR: 0.020000
Training Epoch: 29 [4352/46200]	Loss: 0.4549	LR: 0.020000
Training Epoch: 29 [4608/46200]	Loss: 0.5434	LR: 0.020000
Training Epoch: 29 [4864/46200]	Loss: 0.4665	LR: 0.020000
Training Epoch: 29 [5120/46200]	Loss: 0.5481	LR: 0.020000
Training Epoch: 29 [5376/46200]	Loss: 0.4787	LR: 0.020000
Training Epoch: 29 [5632/46200]	Loss: 0.4400	LR: 0.020000
Training Epoch: 29 [5888/46200]	Loss: 0.5723	LR: 0.020000
Training Epoch: 29 [6144/46200]	Loss: 0.5522	LR: 0.020000
Training Epoch: 29 [6400/46200]	Loss: 0.4518	LR: 0.020000
Training Epoch: 29 [6656/46200]	Loss: 0.4137	LR: 0.020000
Training Epoch: 29 [6912/46200]	Loss: 0.5577	LR: 0.020000
Training Epoch: 29 [7168/46200]	Loss: 0.5883	LR: 0.020000
Training Epoch: 29 [7424/46200]	Loss: 0.5296	LR: 0.020000
Training Epoch: 29 [7680/46200]	Loss: 0.4826	LR: 0.020000
Training Epoch: 29 [7936/46200]	Loss: 0.4743	LR: 0.020000
Training Epoch: 29 [8192/46200]	Loss: 0.4426	LR: 0.020000
Training Epoch: 29 [8448/46200]	Loss: 0.4657	LR: 0.020000
Training Epoch: 29 [8704/46200]	Loss: 0.4397	LR: 0.020000
Training Epoch: 29 [8960/46200]	Loss: 0.4775	LR: 0.020000
Training Epoch: 29 [9216/46200]	Loss: 0.5438	LR: 0.020000
Training Epoch: 29 [9472/46200]	Loss: 0.4983	LR: 0.020000
Training Epoch: 29 [9728/46200]	Loss: 0.5516	LR: 0.020000
Training Epoch: 29 [9984/46200]	Loss: 0.4496	LR: 0.020000
Training Epoch: 29 [10240/46200]	Loss: 0.4722	LR: 0.020000
Training Epoch: 29 [10496/46200]	Loss: 0.4592	LR: 0.020000
Training Epoch: 29 [10752/46200]	Loss: 0.4704	LR: 0.020000
Training Epoch: 29 [11008/46200]	Loss: 0.5098	LR: 0.020000
Training Epoch: 29 [11264/46200]	Loss: 0.5743	LR: 0.020000
Training Epoch: 29 [11520/46200]	Loss: 0.4439	LR: 0.020000
Training Epoch: 29 [11776/46200]	Loss: 0.5488	LR: 0.020000
Training Epoch: 29 [12032/46200]	Loss: 0.5391	LR: 0.020000
Training Epoch: 29 [12288/46200]	Loss: 0.5213	LR: 0.020000
Training Epoch: 29 [12544/46200]	Loss: 0.4553	LR: 0.020000
Training Epoch: 29 [12800/46200]	Loss: 0.5345	LR: 0.020000
Training Epoch: 29 [13056/46200]	Loss: 0.4329	LR: 0.020000
Training Epoch: 29 [13312/46200]	Loss: 0.5564	LR: 0.020000
Training Epoch: 29 [13568/46200]	Loss: 0.4536	LR: 0.020000
Training Epoch: 29 [13824/46200]	Loss: 0.4030	LR: 0.020000
Training Epoch: 29 [14080/46200]	Loss: 0.4909	LR: 0.020000
Training Epoch: 29 [14336/46200]	Loss: 0.3896	LR: 0.020000
Training Epoch: 29 [14592/46200]	Loss: 0.4719	LR: 0.020000
Training Epoch: 29 [14848/46200]	Loss: 0.4780	LR: 0.020000
Training Epoch: 29 [15104/46200]	Loss: 0.4830	LR: 0.020000
Training Epoch: 29 [15360/46200]	Loss: 0.5191	LR: 0.020000
Training Epoch: 29 [15616/46200]	Loss: 0.5350	LR: 0.020000
Training Epoch: 29 [15872/46200]	Loss: 0.5262	LR: 0.020000
Training Epoch: 29 [16128/46200]	Loss: 0.3895	LR: 0.020000
Training Epoch: 29 [16384/46200]	Loss: 0.4726	LR: 0.020000
Training Epoch: 29 [16640/46200]	Loss: 0.5184	LR: 0.020000
Training Epoch: 29 [16896/46200]	Loss: 0.6045	LR: 0.020000
Training Epoch: 29 [17152/46200]	Loss: 0.5402	LR: 0.020000
Training Epoch: 29 [17408/46200]	Loss: 0.5120	LR: 0.020000
Training Epoch: 29 [17664/46200]	Loss: 0.4882	LR: 0.020000
Training Epoch: 29 [17920/46200]	Loss: 0.5114	LR: 0.020000
Training Epoch: 29 [18176/46200]	Loss: 0.4630	LR: 0.020000
Training Epoch: 29 [18432/46200]	Loss: 0.4803	LR: 0.020000
Training Epoch: 29 [18688/46200]	Loss: 0.4507	LR: 0.020000
Training Epoch: 29 [18944/46200]	Loss: 0.4756	LR: 0.020000
Training Epoch: 29 [19200/46200]	Loss: 0.4867	LR: 0.020000
Training Epoch: 29 [19456/46200]	Loss: 0.6180	LR: 0.020000
Training Epoch: 29 [19712/46200]	Loss: 0.4710	LR: 0.020000
Training Epoch: 29 [19968/46200]	Loss: 0.5148	LR: 0.020000
Training Epoch: 29 [20224/46200]	Loss: 0.4982	LR: 0.020000
Training Epoch: 29 [20480/46200]	Loss: 0.5090	LR: 0.020000
Training Epoch: 29 [20736/46200]	Loss: 0.4776	LR: 0.020000
Training Epoch: 29 [20992/46200]	Loss: 0.4878	LR: 0.020000
Training Epoch: 29 [21248/46200]	Loss: 0.5494	LR: 0.020000
Training Epoch: 29 [21504/46200]	Loss: 0.6065	LR: 0.020000
Training Epoch: 29 [21760/46200]	Loss: 0.6425	LR: 0.020000
Training Epoch: 29 [22016/46200]	Loss: 0.4252	LR: 0.020000
Training Epoch: 29 [22272/46200]	Loss: 0.6187	LR: 0.020000
Training Epoch: 29 [22528/46200]	Loss: 0.5768	LR: 0.020000
Training Epoch: 29 [22784/46200]	Loss: 0.5785	LR: 0.020000
Training Epoch: 29 [23040/46200]	Loss: 0.5472	LR: 0.020000
Training Epoch: 29 [23296/46200]	Loss: 0.4489	LR: 0.020000
Training Epoch: 29 [23552/46200]	Loss: 0.5507	LR: 0.020000
Training Epoch: 29 [23808/46200]	Loss: 0.5034	LR: 0.020000
Training Epoch: 29 [24064/46200]	Loss: 0.5547	LR: 0.020000
Training Epoch: 29 [24320/46200]	Loss: 0.4380	LR: 0.020000
Training Epoch: 29 [24576/46200]	Loss: 0.5361	LR: 0.020000
Training Epoch: 29 [24832/46200]	Loss: 0.6345	LR: 0.020000
Training Epoch: 29 [25088/46200]	Loss: 0.5099	LR: 0.020000
Training Epoch: 29 [25344/46200]	Loss: 0.4948	LR: 0.020000
Training Epoch: 29 [25600/46200]	Loss: 0.5204	LR: 0.020000
Training Epoch: 29 [25856/46200]	Loss: 0.5029	LR: 0.020000
Training Epoch: 29 [26112/46200]	Loss: 0.6194	LR: 0.020000
Training Epoch: 29 [26368/46200]	Loss: 0.5774	LR: 0.020000
Training Epoch: 29 [26624/46200]	Loss: 0.4092	LR: 0.020000
Training Epoch: 29 [26880/46200]	Loss: 0.4643	LR: 0.020000
Training Epoch: 29 [27136/46200]	Loss: 0.3984	LR: 0.020000
Training Epoch: 29 [27392/46200]	Loss: 0.4615	LR: 0.020000
Training Epoch: 29 [27648/46200]	Loss: 0.5644	LR: 0.020000
Training Epoch: 29 [27904/46200]	Loss: 0.4857	LR: 0.020000
Training Epoch: 29 [28160/46200]	Loss: 0.5213	LR: 0.020000
Training Epoch: 29 [28416/46200]	Loss: 0.5096	LR: 0.020000
Training Epoch: 29 [28672/46200]	Loss: 0.4847	LR: 0.020000
Training Epoch: 29 [28928/46200]	Loss: 0.4945	LR: 0.020000
Training Epoch: 29 [29184/46200]	Loss: 0.5527	LR: 0.020000
Training Epoch: 29 [29440/46200]	Loss: 0.6294	LR: 0.020000
Training Epoch: 29 [29696/46200]	Loss: 0.5375	LR: 0.020000
Training Epoch: 29 [29952/46200]	Loss: 0.4888	LR: 0.020000
Training Epoch: 29 [30208/46200]	Loss: 0.4066	LR: 0.020000
Training Epoch: 29 [30464/46200]	Loss: 0.6065	LR: 0.020000
Training Epoch: 29 [30720/46200]	Loss: 0.5861	LR: 0.020000
Training Epoch: 29 [30976/46200]	Loss: 0.5710	LR: 0.020000
Training Epoch: 29 [31232/46200]	Loss: 0.5761	LR: 0.020000
Training Epoch: 29 [31488/46200]	Loss: 0.4891	LR: 0.020000
Training Epoch: 29 [31744/46200]	Loss: 0.4650	LR: 0.020000
Training Epoch: 29 [32000/46200]	Loss: 0.6517	LR: 0.020000
Training Epoch: 29 [32256/46200]	Loss: 0.3776	LR: 0.020000
Training Epoch: 29 [32512/46200]	Loss: 0.6350	LR: 0.020000
Training Epoch: 29 [32768/46200]	Loss: 0.5967	LR: 0.020000
Training Epoch: 29 [33024/46200]	Loss: 0.5433	LR: 0.020000
Training Epoch: 29 [33280/46200]	Loss: 0.5109	LR: 0.020000
Training Epoch: 29 [33536/46200]	Loss: 0.5159	LR: 0.020000
Training Epoch: 29 [33792/46200]	Loss: 0.5627	LR: 0.020000
Training Epoch: 29 [34048/46200]	Loss: 0.4630	LR: 0.020000
Training Epoch: 29 [34304/46200]	Loss: 0.5768	LR: 0.020000
Training Epoch: 29 [34560/46200]	Loss: 0.4944	LR: 0.020000
Training Epoch: 29 [34816/46200]	Loss: 0.5879	LR: 0.020000
Training Epoch: 29 [35072/46200]	Loss: 0.5216	LR: 0.020000
Training Epoch: 29 [35328/46200]	Loss: 0.4930	LR: 0.020000
Training Epoch: 29 [35584/46200]	Loss: 0.5507	LR: 0.020000
Training Epoch: 29 [35840/46200]	Loss: 0.5658	LR: 0.020000
Training Epoch: 29 [36096/46200]	Loss: 0.4948	LR: 0.020000
Training Epoch: 29 [36352/46200]	Loss: 0.5993	LR: 0.020000
Training Epoch: 29 [36608/46200]	Loss: 0.4993	LR: 0.020000
Training Epoch: 29 [36864/46200]	Loss: 0.5292	LR: 0.020000
Training Epoch: 29 [37120/46200]	Loss: 0.5928	LR: 0.020000
Training Epoch: 29 [37376/46200]	Loss: 0.4818	LR: 0.020000
Training Epoch: 29 [37632/46200]	Loss: 0.5890	LR: 0.020000
Training Epoch: 29 [37888/46200]	Loss: 0.5849	LR: 0.020000
Training Epoch: 29 [38144/46200]	Loss: 0.5901	LR: 0.020000
Training Epoch: 29 [38400/46200]	Loss: 0.6266	LR: 0.020000
Training Epoch: 29 [38656/46200]	Loss: 0.4673	LR: 0.020000
Training Epoch: 29 [38912/46200]	Loss: 0.5839	LR: 0.020000
Training Epoch: 29 [39168/46200]	Loss: 0.4679	LR: 0.020000
Training Epoch: 29 [39424/46200]	Loss: 0.5186	LR: 0.020000
Training Epoch: 29 [39680/46200]	Loss: 0.4561	LR: 0.020000
Training Epoch: 29 [39936/46200]	Loss: 0.7224	LR: 0.020000
Training Epoch: 29 [40192/46200]	Loss: 0.5480	LR: 0.020000
Training Epoch: 29 [40448/46200]	Loss: 0.4875	LR: 0.020000
Training Epoch: 29 [40704/46200]	Loss: 0.5831	LR: 0.020000
Training Epoch: 29 [40960/46200]	Loss: 0.4678	LR: 0.020000
Training Epoch: 29 [41216/46200]	Loss: 0.5034	LR: 0.020000
Training Epoch: 29 [41472/46200]	Loss: 0.4902	LR: 0.020000
Training Epoch: 29 [41728/46200]	Loss: 0.5947	LR: 0.020000
Training Epoch: 29 [41984/46200]	Loss: 0.5096	LR: 0.020000
Training Epoch: 29 [42240/46200]	Loss: 0.5278	LR: 0.020000
Training Epoch: 29 [42496/46200]	Loss: 0.6036	LR: 0.020000
Training Epoch: 29 [42752/46200]	Loss: 0.5467	LR: 0.020000
Training Epoch: 29 [43008/46200]	Loss: 0.5541	LR: 0.020000
Training Epoch: 29 [43264/46200]	Loss: 0.5223	LR: 0.020000
Training Epoch: 29 [43520/46200]	Loss: 0.5647	LR: 0.020000
Training Epoch: 29 [43776/46200]	Loss: 0.6408	LR: 0.020000
Training Epoch: 29 [44032/46200]	Loss: 0.5316	LR: 0.020000
Training Epoch: 29 [44288/46200]	Loss: 0.4293	LR: 0.020000
Training Epoch: 29 [44544/46200]	Loss: 0.6004	LR: 0.020000
Training Epoch: 29 [44800/46200]	Loss: 0.6498	LR: 0.020000
Training Epoch: 29 [45056/46200]	Loss: 0.5631	LR: 0.020000
Training Epoch: 29 [45312/46200]	Loss: 0.5997	LR: 0.020000
Training Epoch: 29 [45568/46200]	Loss: 0.4544	LR: 0.020000
Training Epoch: 29 [45824/46200]	Loss: 0.5916	LR: 0.020000
Training Epoch: 29 [46080/46200]	Loss: 0.6328	LR: 0.020000
Training Epoch: 29 [46200/46200]	Loss: 0.5886	LR: 0.020000
Epoch 29 - Average Train Loss: 0.5200, Train Accuracy: 0.8316
Epoch 29 training time consumed: 25.14s
Evaluating Network.....
Test set: Epoch: 29, Average loss: 0.0037, Accuracy: 0.7325, Time consumed:0.94s
Training Epoch: 30 [256/46200]	Loss: 0.5585	LR: 0.004000
Training Epoch: 30 [512/46200]	Loss: 0.4295	LR: 0.004000
Training Epoch: 30 [768/46200]	Loss: 0.4512	LR: 0.004000
Training Epoch: 30 [1024/46200]	Loss: 0.5191	LR: 0.004000
Training Epoch: 30 [1280/46200]	Loss: 0.4760	LR: 0.004000
Training Epoch: 30 [1536/46200]	Loss: 0.4140	LR: 0.004000
Training Epoch: 30 [1792/46200]	Loss: 0.4241	LR: 0.004000
Training Epoch: 30 [2048/46200]	Loss: 0.3758	LR: 0.004000
Training Epoch: 30 [2304/46200]	Loss: 0.5612	LR: 0.004000
Training Epoch: 30 [2560/46200]	Loss: 0.4297	LR: 0.004000
Training Epoch: 30 [2816/46200]	Loss: 0.3740	LR: 0.004000
Training Epoch: 30 [3072/46200]	Loss: 0.4812	LR: 0.004000
Training Epoch: 30 [3328/46200]	Loss: 0.4776	LR: 0.004000
Training Epoch: 30 [3584/46200]	Loss: 0.3852	LR: 0.004000
Training Epoch: 30 [3840/46200]	Loss: 0.4812	LR: 0.004000
Training Epoch: 30 [4096/46200]	Loss: 0.4283	LR: 0.004000
Training Epoch: 30 [4352/46200]	Loss: 0.4073	LR: 0.004000
Training Epoch: 30 [4608/46200]	Loss: 0.5133	LR: 0.004000
Training Epoch: 30 [4864/46200]	Loss: 0.4597	LR: 0.004000
Training Epoch: 30 [5120/46200]	Loss: 0.4389	LR: 0.004000
Training Epoch: 30 [5376/46200]	Loss: 0.4431	LR: 0.004000
Training Epoch: 30 [5632/46200]	Loss: 0.4733	LR: 0.004000
Training Epoch: 30 [5888/46200]	Loss: 0.4257	LR: 0.004000
Training Epoch: 30 [6144/46200]	Loss: 0.3973	LR: 0.004000
Training Epoch: 30 [6400/46200]	Loss: 0.4280	LR: 0.004000
Training Epoch: 30 [6656/46200]	Loss: 0.4691	LR: 0.004000
Training Epoch: 30 [6912/46200]	Loss: 0.4324	LR: 0.004000
Training Epoch: 30 [7168/46200]	Loss: 0.5127	LR: 0.004000
Training Epoch: 30 [7424/46200]	Loss: 0.3778	LR: 0.004000
Training Epoch: 30 [7680/46200]	Loss: 0.4416	LR: 0.004000
Training Epoch: 30 [7936/46200]	Loss: 0.4582	LR: 0.004000
Training Epoch: 30 [8192/46200]	Loss: 0.4185	LR: 0.004000
Training Epoch: 30 [8448/46200]	Loss: 0.4410	LR: 0.004000
Training Epoch: 30 [8704/46200]	Loss: 0.4313	LR: 0.004000
Training Epoch: 30 [8960/46200]	Loss: 0.3930	LR: 0.004000
Training Epoch: 30 [9216/46200]	Loss: 0.4800	LR: 0.004000
Training Epoch: 30 [9472/46200]	Loss: 0.4303	LR: 0.004000
Training Epoch: 30 [9728/46200]	Loss: 0.3647	LR: 0.004000
Training Epoch: 30 [9984/46200]	Loss: 0.4845	LR: 0.004000
Training Epoch: 30 [10240/46200]	Loss: 0.3883	LR: 0.004000
Training Epoch: 30 [10496/46200]	Loss: 0.4086	LR: 0.004000
Training Epoch: 30 [10752/46200]	Loss: 0.3991	LR: 0.004000
Training Epoch: 30 [11008/46200]	Loss: 0.4213	LR: 0.004000
Training Epoch: 30 [11264/46200]	Loss: 0.4586	LR: 0.004000
Training Epoch: 30 [11520/46200]	Loss: 0.4351	LR: 0.004000
Training Epoch: 30 [11776/46200]	Loss: 0.5282	LR: 0.004000
Training Epoch: 30 [12032/46200]	Loss: 0.3947	LR: 0.004000
Training Epoch: 30 [12288/46200]	Loss: 0.3979	LR: 0.004000
Training Epoch: 30 [12544/46200]	Loss: 0.4182	LR: 0.004000
Training Epoch: 30 [12800/46200]	Loss: 0.4574	LR: 0.004000
Training Epoch: 30 [13056/46200]	Loss: 0.4082	LR: 0.004000
Training Epoch: 30 [13312/46200]	Loss: 0.4149	LR: 0.004000
Training Epoch: 30 [13568/46200]	Loss: 0.3662	LR: 0.004000
Training Epoch: 30 [13824/46200]	Loss: 0.4439	LR: 0.004000
Training Epoch: 30 [14080/46200]	Loss: 0.3415	LR: 0.004000
Training Epoch: 30 [14336/46200]	Loss: 0.4213	LR: 0.004000
Training Epoch: 30 [14592/46200]	Loss: 0.4362	LR: 0.004000
Training Epoch: 30 [14848/46200]	Loss: 0.3965	LR: 0.004000
Training Epoch: 30 [15104/46200]	Loss: 0.3770	LR: 0.004000
Training Epoch: 30 [15360/46200]	Loss: 0.4247	LR: 0.004000
Training Epoch: 30 [15616/46200]	Loss: 0.3260	LR: 0.004000
Training Epoch: 30 [15872/46200]	Loss: 0.4100	LR: 0.004000
Training Epoch: 30 [16128/46200]	Loss: 0.3956	LR: 0.004000
Training Epoch: 30 [16384/46200]	Loss: 0.3649	LR: 0.004000
Training Epoch: 30 [16640/46200]	Loss: 0.3587	LR: 0.004000
Training Epoch: 30 [16896/46200]	Loss: 0.5228	LR: 0.004000
Training Epoch: 30 [17152/46200]	Loss: 0.5059	LR: 0.004000
Training Epoch: 30 [17408/46200]	Loss: 0.3903	LR: 0.004000
Training Epoch: 30 [17664/46200]	Loss: 0.3986	LR: 0.004000
Training Epoch: 30 [17920/46200]	Loss: 0.4045	LR: 0.004000
Training Epoch: 30 [18176/46200]	Loss: 0.4221	LR: 0.004000
Training Epoch: 30 [18432/46200]	Loss: 0.4177	LR: 0.004000
Training Epoch: 30 [18688/46200]	Loss: 0.3677	LR: 0.004000
Training Epoch: 30 [18944/46200]	Loss: 0.4241	LR: 0.004000
Training Epoch: 30 [19200/46200]	Loss: 0.3249	LR: 0.004000
Training Epoch: 30 [19456/46200]	Loss: 0.4416	LR: 0.004000
Training Epoch: 30 [19712/46200]	Loss: 0.3703	LR: 0.004000
Training Epoch: 30 [19968/46200]	Loss: 0.3986	LR: 0.004000
Training Epoch: 30 [20224/46200]	Loss: 0.3547	LR: 0.004000
Training Epoch: 30 [20480/46200]	Loss: 0.3696	LR: 0.004000
Training Epoch: 30 [20736/46200]	Loss: 0.3653	LR: 0.004000
Training Epoch: 30 [20992/46200]	Loss: 0.3999	LR: 0.004000
Training Epoch: 30 [21248/46200]	Loss: 0.3822	LR: 0.004000
Training Epoch: 30 [21504/46200]	Loss: 0.4523	LR: 0.004000
Training Epoch: 30 [21760/46200]	Loss: 0.4745	LR: 0.004000
Training Epoch: 30 [22016/46200]	Loss: 0.3885	LR: 0.004000
Training Epoch: 30 [22272/46200]	Loss: 0.3901	LR: 0.004000
Training Epoch: 30 [22528/46200]	Loss: 0.4202	LR: 0.004000
Training Epoch: 30 [22784/46200]	Loss: 0.4251	LR: 0.004000
Training Epoch: 30 [23040/46200]	Loss: 0.4010	LR: 0.004000
Training Epoch: 30 [23296/46200]	Loss: 0.3356	LR: 0.004000
Training Epoch: 30 [23552/46200]	Loss: 0.3869	LR: 0.004000
Training Epoch: 30 [23808/46200]	Loss: 0.3420	LR: 0.004000
Training Epoch: 30 [24064/46200]	Loss: 0.3862	LR: 0.004000
Training Epoch: 30 [24320/46200]	Loss: 0.3232	LR: 0.004000
Training Epoch: 30 [24576/46200]	Loss: 0.3685	LR: 0.004000
Training Epoch: 30 [24832/46200]	Loss: 0.3981	LR: 0.004000
Training Epoch: 30 [25088/46200]	Loss: 0.3768	LR: 0.004000
Training Epoch: 30 [25344/46200]	Loss: 0.3428	LR: 0.004000
Training Epoch: 30 [25600/46200]	Loss: 0.4452	LR: 0.004000
Training Epoch: 30 [25856/46200]	Loss: 0.3693	LR: 0.004000
Training Epoch: 30 [26112/46200]	Loss: 0.3251	LR: 0.004000
Training Epoch: 30 [26368/46200]	Loss: 0.4070	LR: 0.004000
Training Epoch: 30 [26624/46200]	Loss: 0.3419	LR: 0.004000
Training Epoch: 30 [26880/46200]	Loss: 0.4036	LR: 0.004000
Training Epoch: 30 [27136/46200]	Loss: 0.3261	LR: 0.004000
Training Epoch: 30 [27392/46200]	Loss: 0.3642	LR: 0.004000
Training Epoch: 30 [27648/46200]	Loss: 0.3465	LR: 0.004000
Training Epoch: 30 [27904/46200]	Loss: 0.3384	LR: 0.004000
Training Epoch: 30 [28160/46200]	Loss: 0.3956	LR: 0.004000
Training Epoch: 30 [28416/46200]	Loss: 0.4558	LR: 0.004000
Training Epoch: 30 [28672/46200]	Loss: 0.4952	LR: 0.004000
Training Epoch: 30 [28928/46200]	Loss: 0.3058	LR: 0.004000
Training Epoch: 30 [29184/46200]	Loss: 0.4082	LR: 0.004000
Training Epoch: 30 [29440/46200]	Loss: 0.3549	LR: 0.004000
Training Epoch: 30 [29696/46200]	Loss: 0.4149	LR: 0.004000
Training Epoch: 30 [29952/46200]	Loss: 0.4017	LR: 0.004000
Training Epoch: 30 [30208/46200]	Loss: 0.4328	LR: 0.004000
Training Epoch: 30 [30464/46200]	Loss: 0.3642	LR: 0.004000
Training Epoch: 30 [30720/46200]	Loss: 0.4288	LR: 0.004000
Training Epoch: 30 [30976/46200]	Loss: 0.3860	LR: 0.004000
Training Epoch: 30 [31232/46200]	Loss: 0.3854	LR: 0.004000
Training Epoch: 30 [31488/46200]	Loss: 0.3277	LR: 0.004000
Training Epoch: 30 [31744/46200]	Loss: 0.4270	LR: 0.004000
Training Epoch: 30 [32000/46200]	Loss: 0.4024	LR: 0.004000
Training Epoch: 30 [32256/46200]	Loss: 0.5131	LR: 0.004000
Training Epoch: 30 [32512/46200]	Loss: 0.3713	LR: 0.004000
Training Epoch: 30 [32768/46200]	Loss: 0.3669	LR: 0.004000
Training Epoch: 30 [33024/46200]	Loss: 0.3657	LR: 0.004000
Training Epoch: 30 [33280/46200]	Loss: 0.3942	LR: 0.004000
Training Epoch: 30 [33536/46200]	Loss: 0.3940	LR: 0.004000
Training Epoch: 30 [33792/46200]	Loss: 0.5021	LR: 0.004000
Training Epoch: 30 [34048/46200]	Loss: 0.4127	LR: 0.004000
Training Epoch: 30 [34304/46200]	Loss: 0.4355	LR: 0.004000
Training Epoch: 30 [34560/46200]	Loss: 0.4780	LR: 0.004000
Training Epoch: 30 [34816/46200]	Loss: 0.3933	LR: 0.004000
Training Epoch: 30 [35072/46200]	Loss: 0.4657	LR: 0.004000
Training Epoch: 30 [35328/46200]	Loss: 0.3760	LR: 0.004000
Training Epoch: 30 [35584/46200]	Loss: 0.3887	LR: 0.004000
Training Epoch: 30 [35840/46200]	Loss: 0.3435	LR: 0.004000
Training Epoch: 30 [36096/46200]	Loss: 0.3857	LR: 0.004000
Training Epoch: 30 [36352/46200]	Loss: 0.4006	LR: 0.004000
Training Epoch: 30 [36608/46200]	Loss: 0.2698	LR: 0.004000
Training Epoch: 30 [36864/46200]	Loss: 0.3803	LR: 0.004000
Training Epoch: 30 [37120/46200]	Loss: 0.4157	LR: 0.004000
Training Epoch: 30 [37376/46200]	Loss: 0.3291	LR: 0.004000
Training Epoch: 30 [37632/46200]	Loss: 0.3566	LR: 0.004000
Training Epoch: 30 [37888/46200]	Loss: 0.4160	LR: 0.004000
Training Epoch: 30 [38144/46200]	Loss: 0.3329	LR: 0.004000
Training Epoch: 30 [38400/46200]	Loss: 0.3527	LR: 0.004000
Training Epoch: 30 [38656/46200]	Loss: 0.4279	LR: 0.004000
Training Epoch: 30 [38912/46200]	Loss: 0.4368	LR: 0.004000
Training Epoch: 30 [39168/46200]	Loss: 0.3896	LR: 0.004000
Training Epoch: 30 [39424/46200]	Loss: 0.3325	LR: 0.004000
Training Epoch: 30 [39680/46200]	Loss: 0.4054	LR: 0.004000
Training Epoch: 30 [39936/46200]	Loss: 0.4564	LR: 0.004000
Training Epoch: 30 [40192/46200]	Loss: 0.4763	LR: 0.004000
Training Epoch: 30 [40448/46200]	Loss: 0.3615	LR: 0.004000
Training Epoch: 30 [40704/46200]	Loss: 0.3620	LR: 0.004000
Training Epoch: 30 [40960/46200]	Loss: 0.3844	LR: 0.004000
Training Epoch: 30 [41216/46200]	Loss: 0.3056	LR: 0.004000
Training Epoch: 30 [41472/46200]	Loss: 0.4549	LR: 0.004000
Training Epoch: 30 [41728/46200]	Loss: 0.4245	LR: 0.004000
Training Epoch: 30 [41984/46200]	Loss: 0.4056	LR: 0.004000
Training Epoch: 30 [42240/46200]	Loss: 0.3595	LR: 0.004000
Training Epoch: 30 [42496/46200]	Loss: 0.4095	LR: 0.004000
Training Epoch: 30 [42752/46200]	Loss: 0.4452	LR: 0.004000
Training Epoch: 30 [43008/46200]	Loss: 0.2839	LR: 0.004000
Training Epoch: 30 [43264/46200]	Loss: 0.3465	LR: 0.004000
Training Epoch: 30 [43520/46200]	Loss: 0.3439	LR: 0.004000
Training Epoch: 30 [43776/46200]	Loss: 0.4000	LR: 0.004000
Training Epoch: 30 [44032/46200]	Loss: 0.3494	LR: 0.004000
Training Epoch: 30 [44288/46200]	Loss: 0.4422	LR: 0.004000
Training Epoch: 30 [44544/46200]	Loss: 0.3173	LR: 0.004000
Training Epoch: 30 [44800/46200]	Loss: 0.4005	LR: 0.004000
Training Epoch: 30 [45056/46200]	Loss: 0.3064	LR: 0.004000
Training Epoch: 30 [45312/46200]	Loss: 0.4121	LR: 0.004000
Training Epoch: 30 [45568/46200]	Loss: 0.3301	LR: 0.004000
Training Epoch: 30 [45824/46200]	Loss: 0.4283	LR: 0.004000
Training Epoch: 30 [46080/46200]	Loss: 0.3444	LR: 0.004000
Training Epoch: 30 [46200/46200]	Loss: 0.4496	LR: 0.004000
Epoch 30 - Average Train Loss: 0.4051, Train Accuracy: 0.8739
Epoch 30 training time consumed: 25.19s
Evaluating Network.....
Test set: Epoch: 30, Average loss: 0.0030, Accuracy: 0.7784, Time consumed:0.86s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_18h_30m_43s/AllCNN-Cifar20-seed8-ret25-30-best.pth
Training Epoch: 31 [256/46200]	Loss: 0.3624	LR: 0.004000
Training Epoch: 31 [512/46200]	Loss: 0.4299	LR: 0.004000
Training Epoch: 31 [768/46200]	Loss: 0.3009	LR: 0.004000
Training Epoch: 31 [1024/46200]	Loss: 0.3525	LR: 0.004000
Training Epoch: 31 [1280/46200]	Loss: 0.3142	LR: 0.004000
Training Epoch: 31 [1536/46200]	Loss: 0.2962	LR: 0.004000
Training Epoch: 31 [1792/46200]	Loss: 0.4244	LR: 0.004000
Training Epoch: 31 [2048/46200]	Loss: 0.3383	LR: 0.004000
Training Epoch: 31 [2304/46200]	Loss: 0.4349	LR: 0.004000
Training Epoch: 31 [2560/46200]	Loss: 0.3857	LR: 0.004000
Training Epoch: 31 [2816/46200]	Loss: 0.3261	LR: 0.004000
Training Epoch: 31 [3072/46200]	Loss: 0.4052	LR: 0.004000
Training Epoch: 31 [3328/46200]	Loss: 0.4137	LR: 0.004000
Training Epoch: 31 [3584/46200]	Loss: 0.2951	LR: 0.004000
Training Epoch: 31 [3840/46200]	Loss: 0.4148	LR: 0.004000
Training Epoch: 31 [4096/46200]	Loss: 0.3067	LR: 0.004000
Training Epoch: 31 [4352/46200]	Loss: 0.4755	LR: 0.004000
Training Epoch: 31 [4608/46200]	Loss: 0.3743	LR: 0.004000
Training Epoch: 31 [4864/46200]	Loss: 0.3374	LR: 0.004000
Training Epoch: 31 [5120/46200]	Loss: 0.3639	LR: 0.004000
Training Epoch: 31 [5376/46200]	Loss: 0.3136	LR: 0.004000
Training Epoch: 31 [5632/46200]	Loss: 0.4056	LR: 0.004000
Training Epoch: 31 [5888/46200]	Loss: 0.2792	LR: 0.004000
Training Epoch: 31 [6144/46200]	Loss: 0.2947	LR: 0.004000
Training Epoch: 31 [6400/46200]	Loss: 0.3057	LR: 0.004000
Training Epoch: 31 [6656/46200]	Loss: 0.3595	LR: 0.004000
Training Epoch: 31 [6912/46200]	Loss: 0.3707	LR: 0.004000
Training Epoch: 31 [7168/46200]	Loss: 0.3541	LR: 0.004000
Training Epoch: 31 [7424/46200]	Loss: 0.3000	LR: 0.004000
Training Epoch: 31 [7680/46200]	Loss: 0.3529	LR: 0.004000
Training Epoch: 31 [7936/46200]	Loss: 0.3828	LR: 0.004000
Training Epoch: 31 [8192/46200]	Loss: 0.3288	LR: 0.004000
Training Epoch: 31 [8448/46200]	Loss: 0.3318	LR: 0.004000
Training Epoch: 31 [8704/46200]	Loss: 0.3943	LR: 0.004000
Training Epoch: 31 [8960/46200]	Loss: 0.4777	LR: 0.004000
Training Epoch: 31 [9216/46200]	Loss: 0.3196	LR: 0.004000
Training Epoch: 31 [9472/46200]	Loss: 0.4052	LR: 0.004000
Training Epoch: 31 [9728/46200]	Loss: 0.3895	LR: 0.004000
Training Epoch: 31 [9984/46200]	Loss: 0.3445	LR: 0.004000
Training Epoch: 31 [10240/46200]	Loss: 0.3689	LR: 0.004000
Training Epoch: 31 [10496/46200]	Loss: 0.3256	LR: 0.004000
Training Epoch: 31 [10752/46200]	Loss: 0.4120	LR: 0.004000
Training Epoch: 31 [11008/46200]	Loss: 0.3889	LR: 0.004000
Training Epoch: 31 [11264/46200]	Loss: 0.4099	LR: 0.004000
Training Epoch: 31 [11520/46200]	Loss: 0.3024	LR: 0.004000
Training Epoch: 31 [11776/46200]	Loss: 0.4319	LR: 0.004000
Training Epoch: 31 [12032/46200]	Loss: 0.3864	LR: 0.004000
Training Epoch: 31 [12288/46200]	Loss: 0.4313	LR: 0.004000
Training Epoch: 31 [12544/46200]	Loss: 0.3875	LR: 0.004000
Training Epoch: 31 [12800/46200]	Loss: 0.4426	LR: 0.004000
Training Epoch: 31 [13056/46200]	Loss: 0.4112	LR: 0.004000
Training Epoch: 31 [13312/46200]	Loss: 0.3832	LR: 0.004000
Training Epoch: 31 [13568/46200]	Loss: 0.3218	LR: 0.004000
Training Epoch: 31 [13824/46200]	Loss: 0.3965	LR: 0.004000
Training Epoch: 31 [14080/46200]	Loss: 0.3729	LR: 0.004000
Training Epoch: 31 [14336/46200]	Loss: 0.3751	LR: 0.004000
Training Epoch: 31 [14592/46200]	Loss: 0.2996	LR: 0.004000
Training Epoch: 31 [14848/46200]	Loss: 0.3476	LR: 0.004000
Training Epoch: 31 [15104/46200]	Loss: 0.3473	LR: 0.004000
Training Epoch: 31 [15360/46200]	Loss: 0.4143	LR: 0.004000
Training Epoch: 31 [15616/46200]	Loss: 0.3689	LR: 0.004000
Training Epoch: 31 [15872/46200]	Loss: 0.3941	LR: 0.004000
Training Epoch: 31 [16128/46200]	Loss: 0.4550	LR: 0.004000
Training Epoch: 31 [16384/46200]	Loss: 0.3402	LR: 0.004000
Training Epoch: 31 [16640/46200]	Loss: 0.3965	LR: 0.004000
Training Epoch: 31 [16896/46200]	Loss: 0.4002	LR: 0.004000
Training Epoch: 31 [17152/46200]	Loss: 0.3885	LR: 0.004000
Training Epoch: 31 [17408/46200]	Loss: 0.3071	LR: 0.004000
Training Epoch: 31 [17664/46200]	Loss: 0.3308	LR: 0.004000
Training Epoch: 31 [17920/46200]	Loss: 0.3362	LR: 0.004000
Training Epoch: 31 [18176/46200]	Loss: 0.3208	LR: 0.004000
Training Epoch: 31 [18432/46200]	Loss: 0.3084	LR: 0.004000
Training Epoch: 31 [18688/46200]	Loss: 0.3890	LR: 0.004000
Training Epoch: 31 [18944/46200]	Loss: 0.3484	LR: 0.004000
Training Epoch: 31 [19200/46200]	Loss: 0.3714	LR: 0.004000
Training Epoch: 31 [19456/46200]	Loss: 0.3914	LR: 0.004000
Training Epoch: 31 [19712/46200]	Loss: 0.3164	LR: 0.004000
Training Epoch: 31 [19968/46200]	Loss: 0.3392	LR: 0.004000
Training Epoch: 31 [20224/46200]	Loss: 0.3855	LR: 0.004000
Training Epoch: 31 [20480/46200]	Loss: 0.2824	LR: 0.004000
Training Epoch: 31 [20736/46200]	Loss: 0.3641	LR: 0.004000
Training Epoch: 31 [20992/46200]	Loss: 0.4009	LR: 0.004000
Training Epoch: 31 [21248/46200]	Loss: 0.3609	LR: 0.004000
Training Epoch: 31 [21504/46200]	Loss: 0.3524	LR: 0.004000
Training Epoch: 31 [21760/46200]	Loss: 0.3426	LR: 0.004000
Training Epoch: 31 [22016/46200]	Loss: 0.3627	LR: 0.004000
Training Epoch: 31 [22272/46200]	Loss: 0.3553	LR: 0.004000
Training Epoch: 31 [22528/46200]	Loss: 0.3186	LR: 0.004000
Training Epoch: 31 [22784/46200]	Loss: 0.3250	LR: 0.004000
Training Epoch: 31 [23040/46200]	Loss: 0.3607	LR: 0.004000
Training Epoch: 31 [23296/46200]	Loss: 0.3882	LR: 0.004000
Training Epoch: 31 [23552/46200]	Loss: 0.3544	LR: 0.004000
Training Epoch: 31 [23808/46200]	Loss: 0.3633	LR: 0.004000
Training Epoch: 31 [24064/46200]	Loss: 0.3161	LR: 0.004000
Training Epoch: 31 [24320/46200]	Loss: 0.3559	LR: 0.004000
Training Epoch: 31 [24576/46200]	Loss: 0.3535	LR: 0.004000
Training Epoch: 31 [24832/46200]	Loss: 0.3647	LR: 0.004000
Training Epoch: 31 [25088/46200]	Loss: 0.3551	LR: 0.004000
Training Epoch: 31 [25344/46200]	Loss: 0.4104	LR: 0.004000
Training Epoch: 31 [25600/46200]	Loss: 0.3076	LR: 0.004000
Training Epoch: 31 [25856/46200]	Loss: 0.3294	LR: 0.004000
Training Epoch: 31 [26112/46200]	Loss: 0.3711	LR: 0.004000
Training Epoch: 31 [26368/46200]	Loss: 0.3787	LR: 0.004000
Training Epoch: 31 [26624/46200]	Loss: 0.3683	LR: 0.004000
Training Epoch: 31 [26880/46200]	Loss: 0.3595	LR: 0.004000
Training Epoch: 31 [27136/46200]	Loss: 0.3786	LR: 0.004000
Training Epoch: 31 [27392/46200]	Loss: 0.3536	LR: 0.004000
Training Epoch: 31 [27648/46200]	Loss: 0.4219	LR: 0.004000
Training Epoch: 31 [27904/46200]	Loss: 0.3143	LR: 0.004000
Training Epoch: 31 [28160/46200]	Loss: 0.3499	LR: 0.004000
Training Epoch: 31 [28416/46200]	Loss: 0.3759	LR: 0.004000
Training Epoch: 31 [28672/46200]	Loss: 0.3638	LR: 0.004000
Training Epoch: 31 [28928/46200]	Loss: 0.3898	LR: 0.004000
Training Epoch: 31 [29184/46200]	Loss: 0.3232	LR: 0.004000
Training Epoch: 31 [29440/46200]	Loss: 0.3343	LR: 0.004000
Training Epoch: 31 [29696/46200]	Loss: 0.2973	LR: 0.004000
Training Epoch: 31 [29952/46200]	Loss: 0.3697	LR: 0.004000
Training Epoch: 31 [30208/46200]	Loss: 0.4236	LR: 0.004000
Training Epoch: 31 [30464/46200]	Loss: 0.3087	LR: 0.004000
Training Epoch: 31 [30720/46200]	Loss: 0.3690	LR: 0.004000
Training Epoch: 31 [30976/46200]	Loss: 0.3242	LR: 0.004000
Training Epoch: 31 [31232/46200]	Loss: 0.3464	LR: 0.004000
Training Epoch: 31 [31488/46200]	Loss: 0.4642	LR: 0.004000
Training Epoch: 31 [31744/46200]	Loss: 0.4685	LR: 0.004000
Training Epoch: 31 [32000/46200]	Loss: 0.3336	LR: 0.004000
Training Epoch: 31 [32256/46200]	Loss: 0.3955	LR: 0.004000
Training Epoch: 31 [32512/46200]	Loss: 0.3519	LR: 0.004000
Training Epoch: 31 [32768/46200]	Loss: 0.4091	LR: 0.004000
Training Epoch: 31 [33024/46200]	Loss: 0.4396	LR: 0.004000
Training Epoch: 31 [33280/46200]	Loss: 0.3762	LR: 0.004000
Training Epoch: 31 [33536/46200]	Loss: 0.3022	LR: 0.004000
Training Epoch: 31 [33792/46200]	Loss: 0.3647	LR: 0.004000
Training Epoch: 31 [34048/46200]	Loss: 0.2688	LR: 0.004000
Training Epoch: 31 [34304/46200]	Loss: 0.3118	LR: 0.004000
Training Epoch: 31 [34560/46200]	Loss: 0.3384	LR: 0.004000
Training Epoch: 31 [34816/46200]	Loss: 0.4222	LR: 0.004000
Training Epoch: 31 [35072/46200]	Loss: 0.4355	LR: 0.004000
Training Epoch: 31 [35328/46200]	Loss: 0.4115	LR: 0.004000
Training Epoch: 31 [35584/46200]	Loss: 0.3610	LR: 0.004000
Training Epoch: 31 [35840/46200]	Loss: 0.4611	LR: 0.004000
Training Epoch: 31 [36096/46200]	Loss: 0.4313	LR: 0.004000
Training Epoch: 31 [36352/46200]	Loss: 0.4019	LR: 0.004000
Training Epoch: 31 [36608/46200]	Loss: 0.3427	LR: 0.004000
Training Epoch: 31 [36864/46200]	Loss: 0.4112	LR: 0.004000
Training Epoch: 31 [37120/46200]	Loss: 0.3504	LR: 0.004000
Training Epoch: 31 [37376/46200]	Loss: 0.3671	LR: 0.004000
Training Epoch: 31 [37632/46200]	Loss: 0.3754	LR: 0.004000
Training Epoch: 31 [37888/46200]	Loss: 0.3509	LR: 0.004000
Training Epoch: 31 [38144/46200]	Loss: 0.3860	LR: 0.004000
Training Epoch: 31 [38400/46200]	Loss: 0.3235	LR: 0.004000
Training Epoch: 31 [38656/46200]	Loss: 0.3606	LR: 0.004000
Training Epoch: 31 [38912/46200]	Loss: 0.3315	LR: 0.004000
Training Epoch: 31 [39168/46200]	Loss: 0.3030	LR: 0.004000
Training Epoch: 31 [39424/46200]	Loss: 0.4142	LR: 0.004000
Training Epoch: 31 [39680/46200]	Loss: 0.3409	LR: 0.004000
Training Epoch: 31 [39936/46200]	Loss: 0.2982	LR: 0.004000
Training Epoch: 31 [40192/46200]	Loss: 0.3852	LR: 0.004000
Training Epoch: 31 [40448/46200]	Loss: 0.3944	LR: 0.004000
Training Epoch: 31 [40704/46200]	Loss: 0.3397	LR: 0.004000
Training Epoch: 31 [40960/46200]	Loss: 0.3575	LR: 0.004000
Training Epoch: 31 [41216/46200]	Loss: 0.3894	LR: 0.004000
Training Epoch: 31 [41472/46200]	Loss: 0.2720	LR: 0.004000
Training Epoch: 31 [41728/46200]	Loss: 0.3799	LR: 0.004000
Training Epoch: 31 [41984/46200]	Loss: 0.3450	LR: 0.004000
Training Epoch: 31 [42240/46200]	Loss: 0.3889	LR: 0.004000
Training Epoch: 31 [42496/46200]	Loss: 0.3396	LR: 0.004000
Training Epoch: 31 [42752/46200]	Loss: 0.4088	LR: 0.004000
Training Epoch: 31 [43008/46200]	Loss: 0.3849	LR: 0.004000
Training Epoch: 31 [43264/46200]	Loss: 0.4374	LR: 0.004000
Training Epoch: 31 [43520/46200]	Loss: 0.3014	LR: 0.004000
Training Epoch: 31 [43776/46200]	Loss: 0.3944	LR: 0.004000
Training Epoch: 31 [44032/46200]	Loss: 0.3386	LR: 0.004000
Training Epoch: 31 [44288/46200]	Loss: 0.2971	LR: 0.004000
Training Epoch: 31 [44544/46200]	Loss: 0.3289	LR: 0.004000
Training Epoch: 31 [44800/46200]	Loss: 0.4019	LR: 0.004000
Training Epoch: 31 [45056/46200]	Loss: 0.3913	LR: 0.004000
Training Epoch: 31 [45312/46200]	Loss: 0.3860	LR: 0.004000
Training Epoch: 31 [45568/46200]	Loss: 0.2617	LR: 0.004000
Training Epoch: 31 [45824/46200]	Loss: 0.3602	LR: 0.004000
Training Epoch: 31 [46080/46200]	Loss: 0.3513	LR: 0.004000
Training Epoch: 31 [46200/46200]	Loss: 0.3492	LR: 0.004000
Epoch 31 - Average Train Loss: 0.3638, Train Accuracy: 0.8884
Epoch 31 training time consumed: 25.12s
Evaluating Network.....
Test set: Epoch: 31, Average loss: 0.0030, Accuracy: 0.7782, Time consumed:0.87s
Training Epoch: 32 [256/46200]	Loss: 0.3452	LR: 0.004000
Training Epoch: 32 [512/46200]	Loss: 0.4678	LR: 0.004000
Training Epoch: 32 [768/46200]	Loss: 0.3883	LR: 0.004000
Training Epoch: 32 [1024/46200]	Loss: 0.3523	LR: 0.004000
Training Epoch: 32 [1280/46200]	Loss: 0.3168	LR: 0.004000
Training Epoch: 32 [1536/46200]	Loss: 0.4085	LR: 0.004000
Training Epoch: 32 [1792/46200]	Loss: 0.4764	LR: 0.004000
Training Epoch: 32 [2048/46200]	Loss: 0.3044	LR: 0.004000
Training Epoch: 32 [2304/46200]	Loss: 0.3234	LR: 0.004000
Training Epoch: 32 [2560/46200]	Loss: 0.3118	LR: 0.004000
Training Epoch: 32 [2816/46200]	Loss: 0.3508	LR: 0.004000
Training Epoch: 32 [3072/46200]	Loss: 0.3264	LR: 0.004000
Training Epoch: 32 [3328/46200]	Loss: 0.3257	LR: 0.004000
Training Epoch: 32 [3584/46200]	Loss: 0.3951	LR: 0.004000
Training Epoch: 32 [3840/46200]	Loss: 0.2998	LR: 0.004000
Training Epoch: 32 [4096/46200]	Loss: 0.3556	LR: 0.004000
Training Epoch: 32 [4352/46200]	Loss: 0.3453	LR: 0.004000
Training Epoch: 32 [4608/46200]	Loss: 0.3659	LR: 0.004000
Training Epoch: 32 [4864/46200]	Loss: 0.3591	LR: 0.004000
Training Epoch: 32 [5120/46200]	Loss: 0.3984	LR: 0.004000
Training Epoch: 32 [5376/46200]	Loss: 0.3681	LR: 0.004000
Training Epoch: 32 [5632/46200]	Loss: 0.3320	LR: 0.004000
Training Epoch: 32 [5888/46200]	Loss: 0.3891	LR: 0.004000
Training Epoch: 32 [6144/46200]	Loss: 0.3751	LR: 0.004000
Training Epoch: 32 [6400/46200]	Loss: 0.3678	LR: 0.004000
Training Epoch: 32 [6656/46200]	Loss: 0.3753	LR: 0.004000
Training Epoch: 32 [6912/46200]	Loss: 0.3073	LR: 0.004000
Training Epoch: 32 [7168/46200]	Loss: 0.2979	LR: 0.004000
Training Epoch: 32 [7424/46200]	Loss: 0.2790	LR: 0.004000
Training Epoch: 32 [7680/46200]	Loss: 0.2385	LR: 0.004000
Training Epoch: 32 [7936/46200]	Loss: 0.3035	LR: 0.004000
Training Epoch: 32 [8192/46200]	Loss: 0.4265	LR: 0.004000
Training Epoch: 32 [8448/46200]	Loss: 0.3632	LR: 0.004000
Training Epoch: 32 [8704/46200]	Loss: 0.3354	LR: 0.004000
Training Epoch: 32 [8960/46200]	Loss: 0.3486	LR: 0.004000
Training Epoch: 32 [9216/46200]	Loss: 0.3695	LR: 0.004000
Training Epoch: 32 [9472/46200]	Loss: 0.4001	LR: 0.004000
Training Epoch: 32 [9728/46200]	Loss: 0.2923	LR: 0.004000
Training Epoch: 32 [9984/46200]	Loss: 0.3568	LR: 0.004000
Training Epoch: 32 [10240/46200]	Loss: 0.3145	LR: 0.004000
Training Epoch: 32 [10496/46200]	Loss: 0.3216	LR: 0.004000
Training Epoch: 32 [10752/46200]	Loss: 0.3752	LR: 0.004000
Training Epoch: 32 [11008/46200]	Loss: 0.3449	LR: 0.004000
Training Epoch: 32 [11264/46200]	Loss: 0.3403	LR: 0.004000
Training Epoch: 32 [11520/46200]	Loss: 0.3360	LR: 0.004000
Training Epoch: 32 [11776/46200]	Loss: 0.3688	LR: 0.004000
Training Epoch: 32 [12032/46200]	Loss: 0.3394	LR: 0.004000
Training Epoch: 32 [12288/46200]	Loss: 0.3540	LR: 0.004000
Training Epoch: 32 [12544/46200]	Loss: 0.3509	LR: 0.004000
Training Epoch: 32 [12800/46200]	Loss: 0.3398	LR: 0.004000
Training Epoch: 32 [13056/46200]	Loss: 0.3650	LR: 0.004000
Training Epoch: 32 [13312/46200]	Loss: 0.4302	LR: 0.004000
Training Epoch: 32 [13568/46200]	Loss: 0.2817	LR: 0.004000
Training Epoch: 32 [13824/46200]	Loss: 0.3407	LR: 0.004000
Training Epoch: 32 [14080/46200]	Loss: 0.3934	LR: 0.004000
Training Epoch: 32 [14336/46200]	Loss: 0.2941	LR: 0.004000
Training Epoch: 32 [14592/46200]	Loss: 0.4017	LR: 0.004000
Training Epoch: 32 [14848/46200]	Loss: 0.3459	LR: 0.004000
Training Epoch: 32 [15104/46200]	Loss: 0.3752	LR: 0.004000
Training Epoch: 32 [15360/46200]	Loss: 0.3420	LR: 0.004000
Training Epoch: 32 [15616/46200]	Loss: 0.3609	LR: 0.004000
Training Epoch: 32 [15872/46200]	Loss: 0.3237	LR: 0.004000
Training Epoch: 32 [16128/46200]	Loss: 0.3140	LR: 0.004000
Training Epoch: 32 [16384/46200]	Loss: 0.3648	LR: 0.004000
Training Epoch: 32 [16640/46200]	Loss: 0.2919	LR: 0.004000
Training Epoch: 32 [16896/46200]	Loss: 0.3804	LR: 0.004000
Training Epoch: 32 [17152/46200]	Loss: 0.3853	LR: 0.004000
Training Epoch: 32 [17408/46200]	Loss: 0.3351	LR: 0.004000
Training Epoch: 32 [17664/46200]	Loss: 0.3915	LR: 0.004000
Training Epoch: 32 [17920/46200]	Loss: 0.3569	LR: 0.004000
Training Epoch: 32 [18176/46200]	Loss: 0.3546	LR: 0.004000
Training Epoch: 32 [18432/46200]	Loss: 0.3276	LR: 0.004000
Training Epoch: 32 [18688/46200]	Loss: 0.3391	LR: 0.004000
Training Epoch: 32 [18944/46200]	Loss: 0.3112	LR: 0.004000
Training Epoch: 32 [19200/46200]	Loss: 0.3492	LR: 0.004000
Training Epoch: 32 [19456/46200]	Loss: 0.4044	LR: 0.004000
Training Epoch: 32 [19712/46200]	Loss: 0.3268	LR: 0.004000
Training Epoch: 32 [19968/46200]	Loss: 0.2807	LR: 0.004000
Training Epoch: 32 [20224/46200]	Loss: 0.4388	LR: 0.004000
Training Epoch: 32 [20480/46200]	Loss: 0.4078	LR: 0.004000
Training Epoch: 32 [20736/46200]	Loss: 0.4171	LR: 0.004000
Training Epoch: 32 [20992/46200]	Loss: 0.3945	LR: 0.004000
Training Epoch: 32 [21248/46200]	Loss: 0.3606	LR: 0.004000
Training Epoch: 32 [21504/46200]	Loss: 0.3974	LR: 0.004000
Training Epoch: 32 [21760/46200]	Loss: 0.3231	LR: 0.004000
Training Epoch: 32 [22016/46200]	Loss: 0.3491	LR: 0.004000
Training Epoch: 32 [22272/46200]	Loss: 0.3402	LR: 0.004000
Training Epoch: 32 [22528/46200]	Loss: 0.3665	LR: 0.004000
Training Epoch: 32 [22784/46200]	Loss: 0.3541	LR: 0.004000
Training Epoch: 32 [23040/46200]	Loss: 0.3495	LR: 0.004000
Training Epoch: 32 [23296/46200]	Loss: 0.3838	LR: 0.004000
Training Epoch: 32 [23552/46200]	Loss: 0.3223	LR: 0.004000
Training Epoch: 32 [23808/46200]	Loss: 0.3468	LR: 0.004000
Training Epoch: 32 [24064/46200]	Loss: 0.2832	LR: 0.004000
Training Epoch: 32 [24320/46200]	Loss: 0.4162	LR: 0.004000
Training Epoch: 32 [24576/46200]	Loss: 0.3647	LR: 0.004000
Training Epoch: 32 [24832/46200]	Loss: 0.3225	LR: 0.004000
Training Epoch: 32 [25088/46200]	Loss: 0.3169	LR: 0.004000
Training Epoch: 32 [25344/46200]	Loss: 0.3225	LR: 0.004000
Training Epoch: 32 [25600/46200]	Loss: 0.3278	LR: 0.004000
Training Epoch: 32 [25856/46200]	Loss: 0.4636	LR: 0.004000
Training Epoch: 32 [26112/46200]	Loss: 0.3898	LR: 0.004000
Training Epoch: 32 [26368/46200]	Loss: 0.3578	LR: 0.004000
Training Epoch: 32 [26624/46200]	Loss: 0.3125	LR: 0.004000
Training Epoch: 32 [26880/46200]	Loss: 0.3910	LR: 0.004000
Training Epoch: 32 [27136/46200]	Loss: 0.3509	LR: 0.004000
Training Epoch: 32 [27392/46200]	Loss: 0.4056	LR: 0.004000
Training Epoch: 32 [27648/46200]	Loss: 0.3092	LR: 0.004000
Training Epoch: 32 [27904/46200]	Loss: 0.4875	LR: 0.004000
Training Epoch: 32 [28160/46200]	Loss: 0.3191	LR: 0.004000
Training Epoch: 32 [28416/46200]	Loss: 0.4138	LR: 0.004000
Training Epoch: 32 [28672/46200]	Loss: 0.3191	LR: 0.004000
Training Epoch: 32 [28928/46200]	Loss: 0.5049	LR: 0.004000
Training Epoch: 32 [29184/46200]	Loss: 0.3607	LR: 0.004000
Training Epoch: 32 [29440/46200]	Loss: 0.2765	LR: 0.004000
Training Epoch: 32 [29696/46200]	Loss: 0.3789	LR: 0.004000
Training Epoch: 32 [29952/46200]	Loss: 0.4667	LR: 0.004000
Training Epoch: 32 [30208/46200]	Loss: 0.2753	LR: 0.004000
Training Epoch: 32 [30464/46200]	Loss: 0.2996	LR: 0.004000
Training Epoch: 32 [30720/46200]	Loss: 0.3437	LR: 0.004000
Training Epoch: 32 [30976/46200]	Loss: 0.3492	LR: 0.004000
Training Epoch: 32 [31232/46200]	Loss: 0.3448	LR: 0.004000
Training Epoch: 32 [31488/46200]	Loss: 0.3718	LR: 0.004000
Training Epoch: 32 [31744/46200]	Loss: 0.3178	LR: 0.004000
Training Epoch: 32 [32000/46200]	Loss: 0.3159	LR: 0.004000
Training Epoch: 32 [32256/46200]	Loss: 0.4100	LR: 0.004000
Training Epoch: 32 [32512/46200]	Loss: 0.3345	LR: 0.004000
Training Epoch: 32 [32768/46200]	Loss: 0.3168	LR: 0.004000
Training Epoch: 32 [33024/46200]	Loss: 0.3465	LR: 0.004000
Training Epoch: 32 [33280/46200]	Loss: 0.4355	LR: 0.004000
Training Epoch: 32 [33536/46200]	Loss: 0.3044	LR: 0.004000
Training Epoch: 32 [33792/46200]	Loss: 0.3728	LR: 0.004000
Training Epoch: 32 [34048/46200]	Loss: 0.3803	LR: 0.004000
Training Epoch: 32 [34304/46200]	Loss: 0.2558	LR: 0.004000
Training Epoch: 32 [34560/46200]	Loss: 0.4006	LR: 0.004000
Training Epoch: 32 [34816/46200]	Loss: 0.4193	LR: 0.004000
Training Epoch: 32 [35072/46200]	Loss: 0.3200	LR: 0.004000
Training Epoch: 32 [35328/46200]	Loss: 0.4210	LR: 0.004000
Training Epoch: 32 [35584/46200]	Loss: 0.2880	LR: 0.004000
Training Epoch: 32 [35840/46200]	Loss: 0.3363	LR: 0.004000
Training Epoch: 32 [36096/46200]	Loss: 0.3335	LR: 0.004000
Training Epoch: 32 [36352/46200]	Loss: 0.3894	LR: 0.004000
Training Epoch: 32 [36608/46200]	Loss: 0.3301	LR: 0.004000
Training Epoch: 32 [36864/46200]	Loss: 0.3214	LR: 0.004000
Training Epoch: 32 [37120/46200]	Loss: 0.2939	LR: 0.004000
Training Epoch: 32 [37376/46200]	Loss: 0.4031	LR: 0.004000
Training Epoch: 32 [37632/46200]	Loss: 0.3845	LR: 0.004000
Training Epoch: 32 [37888/46200]	Loss: 0.3665	LR: 0.004000
Training Epoch: 32 [38144/46200]	Loss: 0.4293	LR: 0.004000
Training Epoch: 32 [38400/46200]	Loss: 0.3393	LR: 0.004000
Training Epoch: 32 [38656/46200]	Loss: 0.3736	LR: 0.004000
Training Epoch: 32 [38912/46200]	Loss: 0.3184	LR: 0.004000
Training Epoch: 32 [39168/46200]	Loss: 0.3342	LR: 0.004000
Training Epoch: 32 [39424/46200]	Loss: 0.4746	LR: 0.004000
Training Epoch: 32 [39680/46200]	Loss: 0.3977	LR: 0.004000
Training Epoch: 32 [39936/46200]	Loss: 0.3085	LR: 0.004000
Training Epoch: 32 [40192/46200]	Loss: 0.2872	LR: 0.004000
Training Epoch: 32 [40448/46200]	Loss: 0.3555	LR: 0.004000
Training Epoch: 32 [40704/46200]	Loss: 0.4074	LR: 0.004000
Training Epoch: 32 [40960/46200]	Loss: 0.2928	LR: 0.004000
Training Epoch: 32 [41216/46200]	Loss: 0.3161	LR: 0.004000
Training Epoch: 32 [41472/46200]	Loss: 0.2914	LR: 0.004000
Training Epoch: 32 [41728/46200]	Loss: 0.2653	LR: 0.004000
Training Epoch: 32 [41984/46200]	Loss: 0.3522	LR: 0.004000
Training Epoch: 32 [42240/46200]	Loss: 0.3767	LR: 0.004000
Training Epoch: 32 [42496/46200]	Loss: 0.2953	LR: 0.004000
Training Epoch: 32 [42752/46200]	Loss: 0.3298	LR: 0.004000
Training Epoch: 32 [43008/46200]	Loss: 0.3698	LR: 0.004000
Training Epoch: 32 [43264/46200]	Loss: 0.3570	LR: 0.004000
Training Epoch: 32 [43520/46200]	Loss: 0.3088	LR: 0.004000
Training Epoch: 32 [43776/46200]	Loss: 0.3766	LR: 0.004000
Training Epoch: 32 [44032/46200]	Loss: 0.3095	LR: 0.004000
Training Epoch: 32 [44288/46200]	Loss: 0.3624	LR: 0.004000
Training Epoch: 32 [44544/46200]	Loss: 0.3369	LR: 0.004000
Training Epoch: 32 [44800/46200]	Loss: 0.3201	LR: 0.004000
Training Epoch: 32 [45056/46200]	Loss: 0.4245	LR: 0.004000
Training Epoch: 32 [45312/46200]	Loss: 0.4014	LR: 0.004000
Training Epoch: 32 [45568/46200]	Loss: 0.3018	LR: 0.004000
Training Epoch: 32 [45824/46200]	Loss: 0.3308	LR: 0.004000
Training Epoch: 32 [46080/46200]	Loss: 0.4020	LR: 0.004000
Training Epoch: 32 [46200/46200]	Loss: 0.3557	LR: 0.004000
Epoch 32 - Average Train Loss: 0.3536, Train Accuracy: 0.8913
Epoch 32 training time consumed: 25.15s
Evaluating Network.....
Test set: Epoch: 32, Average loss: 0.0030, Accuracy: 0.7808, Time consumed:0.84s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_18h_30m_43s/AllCNN-Cifar20-seed8-ret25-32-best.pth
Training Epoch: 33 [256/46200]	Loss: 0.3353	LR: 0.004000
Training Epoch: 33 [512/46200]	Loss: 0.4690	LR: 0.004000
Training Epoch: 33 [768/46200]	Loss: 0.3163	LR: 0.004000
Training Epoch: 33 [1024/46200]	Loss: 0.3281	LR: 0.004000
Training Epoch: 33 [1280/46200]	Loss: 0.3468	LR: 0.004000
Training Epoch: 33 [1536/46200]	Loss: 0.3382	LR: 0.004000
Training Epoch: 33 [1792/46200]	Loss: 0.3123	LR: 0.004000
Training Epoch: 33 [2048/46200]	Loss: 0.3752	LR: 0.004000
Training Epoch: 33 [2304/46200]	Loss: 0.3368	LR: 0.004000
Training Epoch: 33 [2560/46200]	Loss: 0.3489	LR: 0.004000
Training Epoch: 33 [2816/46200]	Loss: 0.3773	LR: 0.004000
Training Epoch: 33 [3072/46200]	Loss: 0.3812	LR: 0.004000
Training Epoch: 33 [3328/46200]	Loss: 0.2703	LR: 0.004000
Training Epoch: 33 [3584/46200]	Loss: 0.2995	LR: 0.004000
Training Epoch: 33 [3840/46200]	Loss: 0.3085	LR: 0.004000
Training Epoch: 33 [4096/46200]	Loss: 0.3623	LR: 0.004000
Training Epoch: 33 [4352/46200]	Loss: 0.4080	LR: 0.004000
Training Epoch: 33 [4608/46200]	Loss: 0.3095	LR: 0.004000
Training Epoch: 33 [4864/46200]	Loss: 0.2751	LR: 0.004000
Training Epoch: 33 [5120/46200]	Loss: 0.3244	LR: 0.004000
Training Epoch: 33 [5376/46200]	Loss: 0.3325	LR: 0.004000
Training Epoch: 33 [5632/46200]	Loss: 0.2394	LR: 0.004000
Training Epoch: 33 [5888/46200]	Loss: 0.4032	LR: 0.004000
Training Epoch: 33 [6144/46200]	Loss: 0.2793	LR: 0.004000
Training Epoch: 33 [6400/46200]	Loss: 0.4074	LR: 0.004000
Training Epoch: 33 [6656/46200]	Loss: 0.2996	LR: 0.004000
Training Epoch: 33 [6912/46200]	Loss: 0.3426	LR: 0.004000
Training Epoch: 33 [7168/46200]	Loss: 0.3651	LR: 0.004000
Training Epoch: 33 [7424/46200]	Loss: 0.3435	LR: 0.004000
Training Epoch: 33 [7680/46200]	Loss: 0.3192	LR: 0.004000
Training Epoch: 33 [7936/46200]	Loss: 0.3083	LR: 0.004000
Training Epoch: 33 [8192/46200]	Loss: 0.3660	LR: 0.004000
Training Epoch: 33 [8448/46200]	Loss: 0.3515	LR: 0.004000
Training Epoch: 33 [8704/46200]	Loss: 0.3268	LR: 0.004000
Training Epoch: 33 [8960/46200]	Loss: 0.2809	LR: 0.004000
Training Epoch: 33 [9216/46200]	Loss: 0.3152	LR: 0.004000
Training Epoch: 33 [9472/46200]	Loss: 0.3640	LR: 0.004000
Training Epoch: 33 [9728/46200]	Loss: 0.3362	LR: 0.004000
Training Epoch: 33 [9984/46200]	Loss: 0.2660	LR: 0.004000
Training Epoch: 33 [10240/46200]	Loss: 0.3900	LR: 0.004000
Training Epoch: 33 [10496/46200]	Loss: 0.3686	LR: 0.004000
Training Epoch: 33 [10752/46200]	Loss: 0.3045	LR: 0.004000
Training Epoch: 33 [11008/46200]	Loss: 0.3480	LR: 0.004000
Training Epoch: 33 [11264/46200]	Loss: 0.3171	LR: 0.004000
Training Epoch: 33 [11520/46200]	Loss: 0.3429	LR: 0.004000
Training Epoch: 33 [11776/46200]	Loss: 0.3873	LR: 0.004000
Training Epoch: 33 [12032/46200]	Loss: 0.3217	LR: 0.004000
Training Epoch: 33 [12288/46200]	Loss: 0.3497	LR: 0.004000
Training Epoch: 33 [12544/46200]	Loss: 0.2472	LR: 0.004000
Training Epoch: 33 [12800/46200]	Loss: 0.4145	LR: 0.004000
Training Epoch: 33 [13056/46200]	Loss: 0.3147	LR: 0.004000
Training Epoch: 33 [13312/46200]	Loss: 0.3081	LR: 0.004000
Training Epoch: 33 [13568/46200]	Loss: 0.3367	LR: 0.004000
Training Epoch: 33 [13824/46200]	Loss: 0.2854	LR: 0.004000
Training Epoch: 33 [14080/46200]	Loss: 0.3257	LR: 0.004000
Training Epoch: 33 [14336/46200]	Loss: 0.2965	LR: 0.004000
Training Epoch: 33 [14592/46200]	Loss: 0.2647	LR: 0.004000
Training Epoch: 33 [14848/46200]	Loss: 0.3139	LR: 0.004000
Training Epoch: 33 [15104/46200]	Loss: 0.3284	LR: 0.004000
Training Epoch: 33 [15360/46200]	Loss: 0.2914	LR: 0.004000
Training Epoch: 33 [15616/46200]	Loss: 0.2940	LR: 0.004000
Training Epoch: 33 [15872/46200]	Loss: 0.3026	LR: 0.004000
Training Epoch: 33 [16128/46200]	Loss: 0.3340	LR: 0.004000
Training Epoch: 33 [16384/46200]	Loss: 0.3826	LR: 0.004000
Training Epoch: 33 [16640/46200]	Loss: 0.3666	LR: 0.004000
Training Epoch: 33 [16896/46200]	Loss: 0.3897	LR: 0.004000
Training Epoch: 33 [17152/46200]	Loss: 0.3296	LR: 0.004000
Training Epoch: 33 [17408/46200]	Loss: 0.3714	LR: 0.004000
Training Epoch: 33 [17664/46200]	Loss: 0.3767	LR: 0.004000
Training Epoch: 33 [17920/46200]	Loss: 0.2705	LR: 0.004000
Training Epoch: 33 [18176/46200]	Loss: 0.3317	LR: 0.004000
Training Epoch: 33 [18432/46200]	Loss: 0.3773	LR: 0.004000
Training Epoch: 33 [18688/46200]	Loss: 0.3121	LR: 0.004000
Training Epoch: 33 [18944/46200]	Loss: 0.4448	LR: 0.004000
Training Epoch: 33 [19200/46200]	Loss: 0.3576	LR: 0.004000
Training Epoch: 33 [19456/46200]	Loss: 0.3101	LR: 0.004000
Training Epoch: 33 [19712/46200]	Loss: 0.3670	LR: 0.004000
Training Epoch: 33 [19968/46200]	Loss: 0.3164	LR: 0.004000
Training Epoch: 33 [20224/46200]	Loss: 0.3927	LR: 0.004000
Training Epoch: 33 [20480/46200]	Loss: 0.4209	LR: 0.004000
Training Epoch: 33 [20736/46200]	Loss: 0.2649	LR: 0.004000
Training Epoch: 33 [20992/46200]	Loss: 0.3416	LR: 0.004000
Training Epoch: 33 [21248/46200]	Loss: 0.4539	LR: 0.004000
Training Epoch: 33 [21504/46200]	Loss: 0.2697	LR: 0.004000
Training Epoch: 33 [21760/46200]	Loss: 0.3348	LR: 0.004000
Training Epoch: 33 [22016/46200]	Loss: 0.3683	LR: 0.004000
Training Epoch: 33 [22272/46200]	Loss: 0.3754	LR: 0.004000
Training Epoch: 33 [22528/46200]	Loss: 0.4249	LR: 0.004000
Training Epoch: 33 [22784/46200]	Loss: 0.3202	LR: 0.004000
Training Epoch: 33 [23040/46200]	Loss: 0.3852	LR: 0.004000
Training Epoch: 33 [23296/46200]	Loss: 0.2786	LR: 0.004000
Training Epoch: 33 [23552/46200]	Loss: 0.3633	LR: 0.004000
Training Epoch: 33 [23808/46200]	Loss: 0.2846	LR: 0.004000
Training Epoch: 33 [24064/46200]	Loss: 0.4074	LR: 0.004000
Training Epoch: 33 [24320/46200]	Loss: 0.2369	LR: 0.004000
Training Epoch: 33 [24576/46200]	Loss: 0.3422	LR: 0.004000
Training Epoch: 33 [24832/46200]	Loss: 0.3117	LR: 0.004000
Training Epoch: 33 [25088/46200]	Loss: 0.2971	LR: 0.004000
Training Epoch: 33 [25344/46200]	Loss: 0.3227	LR: 0.004000
Training Epoch: 33 [25600/46200]	Loss: 0.4306	LR: 0.004000
Training Epoch: 33 [25856/46200]	Loss: 0.4103	LR: 0.004000
Training Epoch: 33 [26112/46200]	Loss: 0.3031	LR: 0.004000
Training Epoch: 33 [26368/46200]	Loss: 0.2936	LR: 0.004000
Training Epoch: 33 [26624/46200]	Loss: 0.3554	LR: 0.004000
Training Epoch: 33 [26880/46200]	Loss: 0.2912	LR: 0.004000
Training Epoch: 33 [27136/46200]	Loss: 0.3179	LR: 0.004000
Training Epoch: 33 [27392/46200]	Loss: 0.3832	LR: 0.004000
Training Epoch: 33 [27648/46200]	Loss: 0.4033	LR: 0.004000
Training Epoch: 33 [27904/46200]	Loss: 0.3163	LR: 0.004000
Training Epoch: 33 [28160/46200]	Loss: 0.3769	LR: 0.004000
Training Epoch: 33 [28416/46200]	Loss: 0.3219	LR: 0.004000
Training Epoch: 33 [28672/46200]	Loss: 0.3070	LR: 0.004000
Training Epoch: 33 [28928/46200]	Loss: 0.4193	LR: 0.004000
Training Epoch: 33 [29184/46200]	Loss: 0.3390	LR: 0.004000
Training Epoch: 33 [29440/46200]	Loss: 0.3493	LR: 0.004000
Training Epoch: 33 [29696/46200]	Loss: 0.3112	LR: 0.004000
Training Epoch: 33 [29952/46200]	Loss: 0.3608	LR: 0.004000
Training Epoch: 33 [30208/46200]	Loss: 0.3840	LR: 0.004000
Training Epoch: 33 [30464/46200]	Loss: 0.3551	LR: 0.004000
Training Epoch: 33 [30720/46200]	Loss: 0.2968	LR: 0.004000
Training Epoch: 33 [30976/46200]	Loss: 0.3752	LR: 0.004000
Training Epoch: 33 [31232/46200]	Loss: 0.4177	LR: 0.004000
Training Epoch: 33 [31488/46200]	Loss: 0.4029	LR: 0.004000
Training Epoch: 33 [31744/46200]	Loss: 0.4200	LR: 0.004000
Training Epoch: 33 [32000/46200]	Loss: 0.2819	LR: 0.004000
Training Epoch: 33 [32256/46200]	Loss: 0.3650	LR: 0.004000
Training Epoch: 33 [32512/46200]	Loss: 0.2966	LR: 0.004000
Training Epoch: 33 [32768/46200]	Loss: 0.3354	LR: 0.004000
Training Epoch: 33 [33024/46200]	Loss: 0.4385	LR: 0.004000
Training Epoch: 33 [33280/46200]	Loss: 0.3286	LR: 0.004000
Training Epoch: 33 [33536/46200]	Loss: 0.4222	LR: 0.004000
Training Epoch: 33 [33792/46200]	Loss: 0.3545	LR: 0.004000
Training Epoch: 33 [34048/46200]	Loss: 0.3105	LR: 0.004000
Training Epoch: 33 [34304/46200]	Loss: 0.3015	LR: 0.004000
Training Epoch: 33 [34560/46200]	Loss: 0.3224	LR: 0.004000
Training Epoch: 33 [34816/46200]	Loss: 0.4335	LR: 0.004000
Training Epoch: 33 [35072/46200]	Loss: 0.3936	LR: 0.004000
Training Epoch: 33 [35328/46200]	Loss: 0.3555	LR: 0.004000
Training Epoch: 33 [35584/46200]	Loss: 0.2948	LR: 0.004000
Training Epoch: 33 [35840/46200]	Loss: 0.2305	LR: 0.004000
Training Epoch: 33 [36096/46200]	Loss: 0.4074	LR: 0.004000
Training Epoch: 33 [36352/46200]	Loss: 0.3080	LR: 0.004000
Training Epoch: 33 [36608/46200]	Loss: 0.2890	LR: 0.004000
Training Epoch: 33 [36864/46200]	Loss: 0.3033	LR: 0.004000
Training Epoch: 33 [37120/46200]	Loss: 0.3327	LR: 0.004000
Training Epoch: 33 [37376/46200]	Loss: 0.3368	LR: 0.004000
Training Epoch: 33 [37632/46200]	Loss: 0.3741	LR: 0.004000
Training Epoch: 33 [37888/46200]	Loss: 0.3120	LR: 0.004000
Training Epoch: 33 [38144/46200]	Loss: 0.3331	LR: 0.004000
Training Epoch: 33 [38400/46200]	Loss: 0.2760	LR: 0.004000
Training Epoch: 33 [38656/46200]	Loss: 0.3490	LR: 0.004000
Training Epoch: 33 [38912/46200]	Loss: 0.3144	LR: 0.004000
Training Epoch: 33 [39168/46200]	Loss: 0.3699	LR: 0.004000
Training Epoch: 33 [39424/46200]	Loss: 0.3914	LR: 0.004000
Training Epoch: 33 [39680/46200]	Loss: 0.4255	LR: 0.004000
Training Epoch: 33 [39936/46200]	Loss: 0.3210	LR: 0.004000
Training Epoch: 33 [40192/46200]	Loss: 0.4106	LR: 0.004000
Training Epoch: 33 [40448/46200]	Loss: 0.3940	LR: 0.004000
Training Epoch: 33 [40704/46200]	Loss: 0.3616	LR: 0.004000
Training Epoch: 33 [40960/46200]	Loss: 0.4008	LR: 0.004000
Training Epoch: 33 [41216/46200]	Loss: 0.2892	LR: 0.004000
Training Epoch: 33 [41472/46200]	Loss: 0.3500	LR: 0.004000
Training Epoch: 33 [41728/46200]	Loss: 0.3308	LR: 0.004000
Training Epoch: 33 [41984/46200]	Loss: 0.3436	LR: 0.004000
Training Epoch: 33 [42240/46200]	Loss: 0.3314	LR: 0.004000
Training Epoch: 33 [42496/46200]	Loss: 0.4030	LR: 0.004000
Training Epoch: 33 [42752/46200]	Loss: 0.3478	LR: 0.004000
Training Epoch: 33 [43008/46200]	Loss: 0.3261	LR: 0.004000
Training Epoch: 33 [43264/46200]	Loss: 0.2724	LR: 0.004000
Training Epoch: 33 [43520/46200]	Loss: 0.2553	LR: 0.004000
Training Epoch: 33 [43776/46200]	Loss: 0.3840	LR: 0.004000
Training Epoch: 33 [44032/46200]	Loss: 0.2961	LR: 0.004000
Training Epoch: 33 [44288/46200]	Loss: 0.3820	LR: 0.004000
Training Epoch: 33 [44544/46200]	Loss: 0.4834	LR: 0.004000
Training Epoch: 33 [44800/46200]	Loss: 0.3845	LR: 0.004000
Training Epoch: 33 [45056/46200]	Loss: 0.3796	LR: 0.004000
Training Epoch: 33 [45312/46200]	Loss: 0.3872	LR: 0.004000
Training Epoch: 33 [45568/46200]	Loss: 0.3264	LR: 0.004000
Training Epoch: 33 [45824/46200]	Loss: 0.4255	LR: 0.004000
Training Epoch: 33 [46080/46200]	Loss: 0.2936	LR: 0.004000
Training Epoch: 33 [46200/46200]	Loss: 0.3145	LR: 0.004000
Epoch 33 - Average Train Loss: 0.3431, Train Accuracy: 0.8948
Epoch 33 training time consumed: 25.03s
Evaluating Network.....
Test set: Epoch: 33, Average loss: 0.0031, Accuracy: 0.7775, Time consumed:0.96s
Training Epoch: 34 [256/46200]	Loss: 0.2718	LR: 0.004000
Training Epoch: 34 [512/46200]	Loss: 0.2650	LR: 0.004000
Training Epoch: 34 [768/46200]	Loss: 0.2948	LR: 0.004000
Training Epoch: 34 [1024/46200]	Loss: 0.3491	LR: 0.004000
Training Epoch: 34 [1280/46200]	Loss: 0.3192	LR: 0.004000
Training Epoch: 34 [1536/46200]	Loss: 0.3895	LR: 0.004000
Training Epoch: 34 [1792/46200]	Loss: 0.3145	LR: 0.004000
Training Epoch: 34 [2048/46200]	Loss: 0.2950	LR: 0.004000
Training Epoch: 34 [2304/46200]	Loss: 0.2821	LR: 0.004000
Training Epoch: 34 [2560/46200]	Loss: 0.3049	LR: 0.004000
Training Epoch: 34 [2816/46200]	Loss: 0.3584	LR: 0.004000
Training Epoch: 34 [3072/46200]	Loss: 0.3034	LR: 0.004000
Training Epoch: 34 [3328/46200]	Loss: 0.3669	LR: 0.004000
Training Epoch: 34 [3584/46200]	Loss: 0.3296	LR: 0.004000
Training Epoch: 34 [3840/46200]	Loss: 0.3561	LR: 0.004000
Training Epoch: 34 [4096/46200]	Loss: 0.3810	LR: 0.004000
Training Epoch: 34 [4352/46200]	Loss: 0.3497	LR: 0.004000
Training Epoch: 34 [4608/46200]	Loss: 0.3607	LR: 0.004000
Training Epoch: 34 [4864/46200]	Loss: 0.3658	LR: 0.004000
Training Epoch: 34 [5120/46200]	Loss: 0.3273	LR: 0.004000
Training Epoch: 34 [5376/46200]	Loss: 0.3115	LR: 0.004000
Training Epoch: 34 [5632/46200]	Loss: 0.3323	LR: 0.004000
Training Epoch: 34 [5888/46200]	Loss: 0.3425	LR: 0.004000
Training Epoch: 34 [6144/46200]	Loss: 0.3325	LR: 0.004000
Training Epoch: 34 [6400/46200]	Loss: 0.3750	LR: 0.004000
Training Epoch: 34 [6656/46200]	Loss: 0.2803	LR: 0.004000
Training Epoch: 34 [6912/46200]	Loss: 0.3470	LR: 0.004000
Training Epoch: 34 [7168/46200]	Loss: 0.2964	LR: 0.004000
Training Epoch: 34 [7424/46200]	Loss: 0.3669	LR: 0.004000
Training Epoch: 34 [7680/46200]	Loss: 0.3082	LR: 0.004000
Training Epoch: 34 [7936/46200]	Loss: 0.3527	LR: 0.004000
Training Epoch: 34 [8192/46200]	Loss: 0.2986	LR: 0.004000
Training Epoch: 34 [8448/46200]	Loss: 0.2977	LR: 0.004000
Training Epoch: 34 [8704/46200]	Loss: 0.3524	LR: 0.004000
Training Epoch: 34 [8960/46200]	Loss: 0.3616	LR: 0.004000
Training Epoch: 34 [9216/46200]	Loss: 0.2929	LR: 0.004000
Training Epoch: 34 [9472/46200]	Loss: 0.3130	LR: 0.004000
Training Epoch: 34 [9728/46200]	Loss: 0.3122	LR: 0.004000
Training Epoch: 34 [9984/46200]	Loss: 0.3159	LR: 0.004000
Training Epoch: 34 [10240/46200]	Loss: 0.3320	LR: 0.004000
Training Epoch: 34 [10496/46200]	Loss: 0.2704	LR: 0.004000
Training Epoch: 34 [10752/46200]	Loss: 0.2687	LR: 0.004000
Training Epoch: 34 [11008/46200]	Loss: 0.3438	LR: 0.004000
Training Epoch: 34 [11264/46200]	Loss: 0.3467	LR: 0.004000
Training Epoch: 34 [11520/46200]	Loss: 0.3293	LR: 0.004000
Training Epoch: 34 [11776/46200]	Loss: 0.3606	LR: 0.004000
Training Epoch: 34 [12032/46200]	Loss: 0.3203	LR: 0.004000
Training Epoch: 34 [12288/46200]	Loss: 0.4072	LR: 0.004000
Training Epoch: 34 [12544/46200]	Loss: 0.3672	LR: 0.004000
Training Epoch: 34 [12800/46200]	Loss: 0.3593	LR: 0.004000
Training Epoch: 34 [13056/46200]	Loss: 0.2813	LR: 0.004000
Training Epoch: 34 [13312/46200]	Loss: 0.3513	LR: 0.004000
Training Epoch: 34 [13568/46200]	Loss: 0.2509	LR: 0.004000
Training Epoch: 34 [13824/46200]	Loss: 0.3726	LR: 0.004000
Training Epoch: 34 [14080/46200]	Loss: 0.2831	LR: 0.004000
Training Epoch: 34 [14336/46200]	Loss: 0.4090	LR: 0.004000
Training Epoch: 34 [14592/46200]	Loss: 0.3653	LR: 0.004000
Training Epoch: 34 [14848/46200]	Loss: 0.3670	LR: 0.004000
Training Epoch: 34 [15104/46200]	Loss: 0.3718	LR: 0.004000
Training Epoch: 34 [15360/46200]	Loss: 0.3348	LR: 0.004000
Training Epoch: 34 [15616/46200]	Loss: 0.2959	LR: 0.004000
Training Epoch: 34 [15872/46200]	Loss: 0.3197	LR: 0.004000
Training Epoch: 34 [16128/46200]	Loss: 0.3795	LR: 0.004000
Training Epoch: 34 [16384/46200]	Loss: 0.3004	LR: 0.004000
Training Epoch: 34 [16640/46200]	Loss: 0.3230	LR: 0.004000
Training Epoch: 34 [16896/46200]	Loss: 0.3976	LR: 0.004000
Training Epoch: 34 [17152/46200]	Loss: 0.3630	LR: 0.004000
Training Epoch: 34 [17408/46200]	Loss: 0.3520	LR: 0.004000
Training Epoch: 34 [17664/46200]	Loss: 0.3708	LR: 0.004000
Training Epoch: 34 [17920/46200]	Loss: 0.2957	LR: 0.004000
Training Epoch: 34 [18176/46200]	Loss: 0.2950	LR: 0.004000
Training Epoch: 34 [18432/46200]	Loss: 0.3670	LR: 0.004000
Training Epoch: 34 [18688/46200]	Loss: 0.2983	LR: 0.004000
Training Epoch: 34 [18944/46200]	Loss: 0.2337	LR: 0.004000
Training Epoch: 34 [19200/46200]	Loss: 0.4257	LR: 0.004000
Training Epoch: 34 [19456/46200]	Loss: 0.3084	LR: 0.004000
Training Epoch: 34 [19712/46200]	Loss: 0.2541	LR: 0.004000
Training Epoch: 34 [19968/46200]	Loss: 0.3135	LR: 0.004000
Training Epoch: 34 [20224/46200]	Loss: 0.3868	LR: 0.004000
Training Epoch: 34 [20480/46200]	Loss: 0.3525	LR: 0.004000
Training Epoch: 34 [20736/46200]	Loss: 0.3032	LR: 0.004000
Training Epoch: 34 [20992/46200]	Loss: 0.3356	LR: 0.004000
Training Epoch: 34 [21248/46200]	Loss: 0.3517	LR: 0.004000
Training Epoch: 34 [21504/46200]	Loss: 0.3087	LR: 0.004000
Training Epoch: 34 [21760/46200]	Loss: 0.3332	LR: 0.004000
Training Epoch: 34 [22016/46200]	Loss: 0.2855	LR: 0.004000
Training Epoch: 34 [22272/46200]	Loss: 0.3286	LR: 0.004000
Training Epoch: 34 [22528/46200]	Loss: 0.3314	LR: 0.004000
Training Epoch: 34 [22784/46200]	Loss: 0.2722	LR: 0.004000
Training Epoch: 34 [23040/46200]	Loss: 0.2963	LR: 0.004000
Training Epoch: 34 [23296/46200]	Loss: 0.2721	LR: 0.004000
Training Epoch: 34 [23552/46200]	Loss: 0.3027	LR: 0.004000
Training Epoch: 34 [23808/46200]	Loss: 0.3117	LR: 0.004000
Training Epoch: 34 [24064/46200]	Loss: 0.3027	LR: 0.004000
Training Epoch: 34 [24320/46200]	Loss: 0.2872	LR: 0.004000
Training Epoch: 34 [24576/46200]	Loss: 0.3159	LR: 0.004000
Training Epoch: 34 [24832/46200]	Loss: 0.2866	LR: 0.004000
Training Epoch: 34 [25088/46200]	Loss: 0.3386	LR: 0.004000
Training Epoch: 34 [25344/46200]	Loss: 0.3426	LR: 0.004000
Training Epoch: 34 [25600/46200]	Loss: 0.3774	LR: 0.004000
Training Epoch: 34 [25856/46200]	Loss: 0.2939	LR: 0.004000
Training Epoch: 34 [26112/46200]	Loss: 0.3549	LR: 0.004000
Training Epoch: 34 [26368/46200]	Loss: 0.2903	LR: 0.004000
Training Epoch: 34 [26624/46200]	Loss: 0.2298	LR: 0.004000
Training Epoch: 34 [26880/46200]	Loss: 0.3243	LR: 0.004000
Training Epoch: 34 [27136/46200]	Loss: 0.2816	LR: 0.004000
Training Epoch: 34 [27392/46200]	Loss: 0.2833	LR: 0.004000
Training Epoch: 34 [27648/46200]	Loss: 0.2653	LR: 0.004000
Training Epoch: 34 [27904/46200]	Loss: 0.4106	LR: 0.004000
Training Epoch: 34 [28160/46200]	Loss: 0.2779	LR: 0.004000
Training Epoch: 34 [28416/46200]	Loss: 0.2557	LR: 0.004000
Training Epoch: 34 [28672/46200]	Loss: 0.2716	LR: 0.004000
Training Epoch: 34 [28928/46200]	Loss: 0.3393	LR: 0.004000
Training Epoch: 34 [29184/46200]	Loss: 0.3027	LR: 0.004000
Training Epoch: 34 [29440/46200]	Loss: 0.2728	LR: 0.004000
Training Epoch: 34 [29696/46200]	Loss: 0.2962	LR: 0.004000
Training Epoch: 34 [29952/46200]	Loss: 0.3538	LR: 0.004000
Training Epoch: 34 [30208/46200]	Loss: 0.3355	LR: 0.004000
Training Epoch: 34 [30464/46200]	Loss: 0.3503	LR: 0.004000
Training Epoch: 34 [30720/46200]	Loss: 0.3515	LR: 0.004000
Training Epoch: 34 [30976/46200]	Loss: 0.3597	LR: 0.004000
Training Epoch: 34 [31232/46200]	Loss: 0.3761	LR: 0.004000
Training Epoch: 34 [31488/46200]	Loss: 0.3715	LR: 0.004000
Training Epoch: 34 [31744/46200]	Loss: 0.3052	LR: 0.004000
Training Epoch: 34 [32000/46200]	Loss: 0.3597	LR: 0.004000
Training Epoch: 34 [32256/46200]	Loss: 0.3817	LR: 0.004000
Training Epoch: 34 [32512/46200]	Loss: 0.3585	LR: 0.004000
Training Epoch: 34 [32768/46200]	Loss: 0.2943	LR: 0.004000
Training Epoch: 34 [33024/46200]	Loss: 0.2864	LR: 0.004000
Training Epoch: 34 [33280/46200]	Loss: 0.3559	LR: 0.004000
Training Epoch: 34 [33536/46200]	Loss: 0.2969	LR: 0.004000
Training Epoch: 34 [33792/46200]	Loss: 0.3772	LR: 0.004000
Training Epoch: 34 [34048/46200]	Loss: 0.3410	LR: 0.004000
Training Epoch: 34 [34304/46200]	Loss: 0.3227	LR: 0.004000
Training Epoch: 34 [34560/46200]	Loss: 0.2790	LR: 0.004000
Training Epoch: 34 [34816/46200]	Loss: 0.3700	LR: 0.004000
Training Epoch: 34 [35072/46200]	Loss: 0.3355	LR: 0.004000
Training Epoch: 34 [35328/46200]	Loss: 0.2908	LR: 0.004000
Training Epoch: 34 [35584/46200]	Loss: 0.3774	LR: 0.004000
Training Epoch: 34 [35840/46200]	Loss: 0.3295	LR: 0.004000
Training Epoch: 34 [36096/46200]	Loss: 0.3304	LR: 0.004000
Training Epoch: 34 [36352/46200]	Loss: 0.3784	LR: 0.004000
Training Epoch: 34 [36608/46200]	Loss: 0.3246	LR: 0.004000
Training Epoch: 34 [36864/46200]	Loss: 0.3094	LR: 0.004000
Training Epoch: 34 [37120/46200]	Loss: 0.3579	LR: 0.004000
Training Epoch: 34 [37376/46200]	Loss: 0.3596	LR: 0.004000
Training Epoch: 34 [37632/46200]	Loss: 0.3988	LR: 0.004000
Training Epoch: 34 [37888/46200]	Loss: 0.3978	LR: 0.004000
Training Epoch: 34 [38144/46200]	Loss: 0.2462	LR: 0.004000
Training Epoch: 34 [38400/46200]	Loss: 0.2819	LR: 0.004000
Training Epoch: 34 [38656/46200]	Loss: 0.3006	LR: 0.004000
Training Epoch: 34 [38912/46200]	Loss: 0.3256	LR: 0.004000
Training Epoch: 34 [39168/46200]	Loss: 0.3416	LR: 0.004000
Training Epoch: 34 [39424/46200]	Loss: 0.2959	LR: 0.004000
Training Epoch: 34 [39680/46200]	Loss: 0.3310	LR: 0.004000
Training Epoch: 34 [39936/46200]	Loss: 0.3254	LR: 0.004000
Training Epoch: 34 [40192/46200]	Loss: 0.3020	LR: 0.004000
Training Epoch: 34 [40448/46200]	Loss: 0.3273	LR: 0.004000
Training Epoch: 34 [40704/46200]	Loss: 0.3655	LR: 0.004000
Training Epoch: 34 [40960/46200]	Loss: 0.2943	LR: 0.004000
Training Epoch: 34 [41216/46200]	Loss: 0.3193	LR: 0.004000
Training Epoch: 34 [41472/46200]	Loss: 0.2744	LR: 0.004000
Training Epoch: 34 [41728/46200]	Loss: 0.2530	LR: 0.004000
Training Epoch: 34 [41984/46200]	Loss: 0.3390	LR: 0.004000
Training Epoch: 34 [42240/46200]	Loss: 0.3303	LR: 0.004000
Training Epoch: 34 [42496/46200]	Loss: 0.2995	LR: 0.004000
Training Epoch: 34 [42752/46200]	Loss: 0.3257	LR: 0.004000
Training Epoch: 34 [43008/46200]	Loss: 0.3270	LR: 0.004000
Training Epoch: 34 [43264/46200]	Loss: 0.3670	LR: 0.004000
Training Epoch: 34 [43520/46200]	Loss: 0.3356	LR: 0.004000
Training Epoch: 34 [43776/46200]	Loss: 0.3096	LR: 0.004000
Training Epoch: 34 [44032/46200]	Loss: 0.2638	LR: 0.004000
Training Epoch: 34 [44288/46200]	Loss: 0.3567	LR: 0.004000
Training Epoch: 34 [44544/46200]	Loss: 0.3118	LR: 0.004000
Training Epoch: 34 [44800/46200]	Loss: 0.3617	LR: 0.004000
Training Epoch: 34 [45056/46200]	Loss: 0.3948	LR: 0.004000
Training Epoch: 34 [45312/46200]	Loss: 0.3724	LR: 0.004000
Training Epoch: 34 [45568/46200]	Loss: 0.2737	LR: 0.004000
Training Epoch: 34 [45824/46200]	Loss: 0.3098	LR: 0.004000
Training Epoch: 34 [46080/46200]	Loss: 0.3103	LR: 0.004000
Training Epoch: 34 [46200/46200]	Loss: 0.3569	LR: 0.004000
Epoch 34 - Average Train Loss: 0.3263, Train Accuracy: 0.9002
Epoch 34 training time consumed: 25.12s
Evaluating Network.....
Test set: Epoch: 34, Average loss: 0.0031, Accuracy: 0.7769, Time consumed:0.94s
Training Epoch: 35 [256/46200]	Loss: 0.3135	LR: 0.000800
Training Epoch: 35 [512/46200]	Loss: 0.3021	LR: 0.000800
Training Epoch: 35 [768/46200]	Loss: 0.2714	LR: 0.000800
Training Epoch: 35 [1024/46200]	Loss: 0.3196	LR: 0.000800
Training Epoch: 35 [1280/46200]	Loss: 0.3033	LR: 0.000800
Training Epoch: 35 [1536/46200]	Loss: 0.3410	LR: 0.000800
Training Epoch: 35 [1792/46200]	Loss: 0.3132	LR: 0.000800
Training Epoch: 35 [2048/46200]	Loss: 0.3993	LR: 0.000800
Training Epoch: 35 [2304/46200]	Loss: 0.3406	LR: 0.000800
Training Epoch: 35 [2560/46200]	Loss: 0.2857	LR: 0.000800
Training Epoch: 35 [2816/46200]	Loss: 0.3111	LR: 0.000800
Training Epoch: 35 [3072/46200]	Loss: 0.2936	LR: 0.000800
Training Epoch: 35 [3328/46200]	Loss: 0.2953	LR: 0.000800
Training Epoch: 35 [3584/46200]	Loss: 0.3154	LR: 0.000800
Training Epoch: 35 [3840/46200]	Loss: 0.3162	LR: 0.000800
Training Epoch: 35 [4096/46200]	Loss: 0.3038	LR: 0.000800
Training Epoch: 35 [4352/46200]	Loss: 0.2546	LR: 0.000800
Training Epoch: 35 [4608/46200]	Loss: 0.3416	LR: 0.000800
Training Epoch: 35 [4864/46200]	Loss: 0.3149	LR: 0.000800
Training Epoch: 35 [5120/46200]	Loss: 0.3295	LR: 0.000800
Training Epoch: 35 [5376/46200]	Loss: 0.3413	LR: 0.000800
Training Epoch: 35 [5632/46200]	Loss: 0.2839	LR: 0.000800
Training Epoch: 35 [5888/46200]	Loss: 0.3205	LR: 0.000800
Training Epoch: 35 [6144/46200]	Loss: 0.2561	LR: 0.000800
Training Epoch: 35 [6400/46200]	Loss: 0.3588	LR: 0.000800
Training Epoch: 35 [6656/46200]	Loss: 0.3065	LR: 0.000800
Training Epoch: 35 [6912/46200]	Loss: 0.2418	LR: 0.000800
Training Epoch: 35 [7168/46200]	Loss: 0.3480	LR: 0.000800
Training Epoch: 35 [7424/46200]	Loss: 0.3129	LR: 0.000800
Training Epoch: 35 [7680/46200]	Loss: 0.2834	LR: 0.000800
Training Epoch: 35 [7936/46200]	Loss: 0.2873	LR: 0.000800
Training Epoch: 35 [8192/46200]	Loss: 0.3874	LR: 0.000800
Training Epoch: 35 [8448/46200]	Loss: 0.2718	LR: 0.000800
Training Epoch: 35 [8704/46200]	Loss: 0.3547	LR: 0.000800
Training Epoch: 35 [8960/46200]	Loss: 0.3450	LR: 0.000800
Training Epoch: 35 [9216/46200]	Loss: 0.3391	LR: 0.000800
Training Epoch: 35 [9472/46200]	Loss: 0.3209	LR: 0.000800
Training Epoch: 35 [9728/46200]	Loss: 0.3791	LR: 0.000800
Training Epoch: 35 [9984/46200]	Loss: 0.3121	LR: 0.000800
Training Epoch: 35 [10240/46200]	Loss: 0.3258	LR: 0.000800
Training Epoch: 35 [10496/46200]	Loss: 0.3586	LR: 0.000800
Training Epoch: 35 [10752/46200]	Loss: 0.2355	LR: 0.000800
Training Epoch: 35 [11008/46200]	Loss: 0.3209	LR: 0.000800
Training Epoch: 35 [11264/46200]	Loss: 0.3488	LR: 0.000800
Training Epoch: 35 [11520/46200]	Loss: 0.2897	LR: 0.000800
Training Epoch: 35 [11776/46200]	Loss: 0.3161	LR: 0.000800
Training Epoch: 35 [12032/46200]	Loss: 0.2988	LR: 0.000800
Training Epoch: 35 [12288/46200]	Loss: 0.2814	LR: 0.000800
Training Epoch: 35 [12544/46200]	Loss: 0.2701	LR: 0.000800
Training Epoch: 35 [12800/46200]	Loss: 0.2571	LR: 0.000800
Training Epoch: 35 [13056/46200]	Loss: 0.3945	LR: 0.000800
Training Epoch: 35 [13312/46200]	Loss: 0.2586	LR: 0.000800
Training Epoch: 35 [13568/46200]	Loss: 0.3224	LR: 0.000800
Training Epoch: 35 [13824/46200]	Loss: 0.2769	LR: 0.000800
Training Epoch: 35 [14080/46200]	Loss: 0.3332	LR: 0.000800
Training Epoch: 35 [14336/46200]	Loss: 0.2150	LR: 0.000800
Training Epoch: 35 [14592/46200]	Loss: 0.3337	LR: 0.000800
Training Epoch: 35 [14848/46200]	Loss: 0.3496	LR: 0.000800
Training Epoch: 35 [15104/46200]	Loss: 0.2512	LR: 0.000800
Training Epoch: 35 [15360/46200]	Loss: 0.2722	LR: 0.000800
Training Epoch: 35 [15616/46200]	Loss: 0.2717	LR: 0.000800
Training Epoch: 35 [15872/46200]	Loss: 0.2505	LR: 0.000800
Training Epoch: 35 [16128/46200]	Loss: 0.3643	LR: 0.000800
Training Epoch: 35 [16384/46200]	Loss: 0.2998	LR: 0.000800
Training Epoch: 35 [16640/46200]	Loss: 0.3205	LR: 0.000800
Training Epoch: 35 [16896/46200]	Loss: 0.3053	LR: 0.000800
Training Epoch: 35 [17152/46200]	Loss: 0.3584	LR: 0.000800
Training Epoch: 35 [17408/46200]	Loss: 0.3387	LR: 0.000800
Training Epoch: 35 [17664/46200]	Loss: 0.3196	LR: 0.000800
Training Epoch: 35 [17920/46200]	Loss: 0.3148	LR: 0.000800
Training Epoch: 35 [18176/46200]	Loss: 0.2099	LR: 0.000800
Training Epoch: 35 [18432/46200]	Loss: 0.3168	LR: 0.000800
Training Epoch: 35 [18688/46200]	Loss: 0.3114	LR: 0.000800
Training Epoch: 35 [18944/46200]	Loss: 0.3750	LR: 0.000800
Training Epoch: 35 [19200/46200]	Loss: 0.3416	LR: 0.000800
Training Epoch: 35 [19456/46200]	Loss: 0.3357	LR: 0.000800
Training Epoch: 35 [19712/46200]	Loss: 0.2551	LR: 0.000800
Training Epoch: 35 [19968/46200]	Loss: 0.3095	LR: 0.000800
Training Epoch: 35 [20224/46200]	Loss: 0.2584	LR: 0.000800
Training Epoch: 35 [20480/46200]	Loss: 0.3539	LR: 0.000800
Training Epoch: 35 [20736/46200]	Loss: 0.3475	LR: 0.000800
Training Epoch: 35 [20992/46200]	Loss: 0.2999	LR: 0.000800
Training Epoch: 35 [21248/46200]	Loss: 0.3072	LR: 0.000800
Training Epoch: 35 [21504/46200]	Loss: 0.2767	LR: 0.000800
Training Epoch: 35 [21760/46200]	Loss: 0.2847	LR: 0.000800
Training Epoch: 35 [22016/46200]	Loss: 0.2834	LR: 0.000800
Training Epoch: 35 [22272/46200]	Loss: 0.2956	LR: 0.000800
Training Epoch: 35 [22528/46200]	Loss: 0.2766	LR: 0.000800
Training Epoch: 35 [22784/46200]	Loss: 0.3295	LR: 0.000800
Training Epoch: 35 [23040/46200]	Loss: 0.2578	LR: 0.000800
Training Epoch: 35 [23296/46200]	Loss: 0.3043	LR: 0.000800
Training Epoch: 35 [23552/46200]	Loss: 0.3146	LR: 0.000800
Training Epoch: 35 [23808/46200]	Loss: 0.3338	LR: 0.000800
Training Epoch: 35 [24064/46200]	Loss: 0.2843	LR: 0.000800
Training Epoch: 35 [24320/46200]	Loss: 0.3038	LR: 0.000800
Training Epoch: 35 [24576/46200]	Loss: 0.2342	LR: 0.000800
Training Epoch: 35 [24832/46200]	Loss: 0.3085	LR: 0.000800
Training Epoch: 35 [25088/46200]	Loss: 0.2348	LR: 0.000800
Training Epoch: 35 [25344/46200]	Loss: 0.4108	LR: 0.000800
Training Epoch: 35 [25600/46200]	Loss: 0.3366	LR: 0.000800
Training Epoch: 35 [25856/46200]	Loss: 0.3160	LR: 0.000800
Training Epoch: 35 [26112/46200]	Loss: 0.3384	LR: 0.000800
Training Epoch: 35 [26368/46200]	Loss: 0.2907	LR: 0.000800
Training Epoch: 35 [26624/46200]	Loss: 0.3640	LR: 0.000800
Training Epoch: 35 [26880/46200]	Loss: 0.3005	LR: 0.000800
Training Epoch: 35 [27136/46200]	Loss: 0.3052	LR: 0.000800
Training Epoch: 35 [27392/46200]	Loss: 0.3314	LR: 0.000800
Training Epoch: 35 [27648/46200]	Loss: 0.2895	LR: 0.000800
Training Epoch: 35 [27904/46200]	Loss: 0.3335	LR: 0.000800
Training Epoch: 35 [28160/46200]	Loss: 0.3156	LR: 0.000800
Training Epoch: 35 [28416/46200]	Loss: 0.2886	LR: 0.000800
Training Epoch: 35 [28672/46200]	Loss: 0.2779	LR: 0.000800
Training Epoch: 35 [28928/46200]	Loss: 0.3177	LR: 0.000800
Training Epoch: 35 [29184/46200]	Loss: 0.3751	LR: 0.000800
Training Epoch: 35 [29440/46200]	Loss: 0.2737	LR: 0.000800
Training Epoch: 35 [29696/46200]	Loss: 0.3092	LR: 0.000800
Training Epoch: 35 [29952/46200]	Loss: 0.3578	LR: 0.000800
Training Epoch: 35 [30208/46200]	Loss: 0.2845	LR: 0.000800
Training Epoch: 35 [30464/46200]	Loss: 0.3017	LR: 0.000800
Training Epoch: 35 [30720/46200]	Loss: 0.2385	LR: 0.000800
Training Epoch: 35 [30976/46200]	Loss: 0.3302	LR: 0.000800
Training Epoch: 35 [31232/46200]	Loss: 0.3073	LR: 0.000800
Training Epoch: 35 [31488/46200]	Loss: 0.2276	LR: 0.000800
Training Epoch: 35 [31744/46200]	Loss: 0.2633	LR: 0.000800
Training Epoch: 35 [32000/46200]	Loss: 0.3149	LR: 0.000800
Training Epoch: 35 [32256/46200]	Loss: 0.2530	LR: 0.000800
Training Epoch: 35 [32512/46200]	Loss: 0.3101	LR: 0.000800
Training Epoch: 35 [32768/46200]	Loss: 0.3282	LR: 0.000800
Training Epoch: 35 [33024/46200]	Loss: 0.3679	LR: 0.000800
Training Epoch: 35 [33280/46200]	Loss: 0.3192	LR: 0.000800
Training Epoch: 35 [33536/46200]	Loss: 0.3768	LR: 0.000800
Training Epoch: 35 [33792/46200]	Loss: 0.3019	LR: 0.000800
Training Epoch: 35 [34048/46200]	Loss: 0.3308	LR: 0.000800
Training Epoch: 35 [34304/46200]	Loss: 0.2812	LR: 0.000800
Training Epoch: 35 [34560/46200]	Loss: 0.2986	LR: 0.000800
Training Epoch: 35 [34816/46200]	Loss: 0.3646	LR: 0.000800
Training Epoch: 35 [35072/46200]	Loss: 0.3652	LR: 0.000800
Training Epoch: 35 [35328/46200]	Loss: 0.3172	LR: 0.000800
Training Epoch: 35 [35584/46200]	Loss: 0.2969	LR: 0.000800
Training Epoch: 35 [35840/46200]	Loss: 0.3104	LR: 0.000800
Training Epoch: 35 [36096/46200]	Loss: 0.3667	LR: 0.000800
Training Epoch: 35 [36352/46200]	Loss: 0.2941	LR: 0.000800
Training Epoch: 35 [36608/46200]	Loss: 0.3626	LR: 0.000800
Training Epoch: 35 [36864/46200]	Loss: 0.3120	LR: 0.000800
Training Epoch: 35 [37120/46200]	Loss: 0.2521	LR: 0.000800
Training Epoch: 35 [37376/46200]	Loss: 0.3101	LR: 0.000800
Training Epoch: 35 [37632/46200]	Loss: 0.2763	LR: 0.000800
Training Epoch: 35 [37888/46200]	Loss: 0.3042	LR: 0.000800
Training Epoch: 35 [38144/46200]	Loss: 0.2408	LR: 0.000800
Training Epoch: 35 [38400/46200]	Loss: 0.2703	LR: 0.000800
Training Epoch: 35 [38656/46200]	Loss: 0.3313	LR: 0.000800
Training Epoch: 35 [38912/46200]	Loss: 0.3323	LR: 0.000800
Training Epoch: 35 [39168/46200]	Loss: 0.3066	LR: 0.000800
Training Epoch: 35 [39424/46200]	Loss: 0.3017	LR: 0.000800
Training Epoch: 35 [39680/46200]	Loss: 0.3533	LR: 0.000800
Training Epoch: 35 [39936/46200]	Loss: 0.3784	LR: 0.000800
Training Epoch: 35 [40192/46200]	Loss: 0.2805	LR: 0.000800
Training Epoch: 35 [40448/46200]	Loss: 0.2642	LR: 0.000800
Training Epoch: 35 [40704/46200]	Loss: 0.2389	LR: 0.000800
Training Epoch: 35 [40960/46200]	Loss: 0.2902	LR: 0.000800
Training Epoch: 35 [41216/46200]	Loss: 0.3059	LR: 0.000800
Training Epoch: 35 [41472/46200]	Loss: 0.3180	LR: 0.000800
Training Epoch: 35 [41728/46200]	Loss: 0.3698	LR: 0.000800
Training Epoch: 35 [41984/46200]	Loss: 0.3325	LR: 0.000800
Training Epoch: 35 [42240/46200]	Loss: 0.3200	LR: 0.000800
Training Epoch: 35 [42496/46200]	Loss: 0.2618	LR: 0.000800
Training Epoch: 35 [42752/46200]	Loss: 0.3512	LR: 0.000800
Training Epoch: 35 [43008/46200]	Loss: 0.2713	LR: 0.000800
Training Epoch: 35 [43264/46200]	Loss: 0.2509	LR: 0.000800
Training Epoch: 35 [43520/46200]	Loss: 0.2775	LR: 0.000800
Training Epoch: 35 [43776/46200]	Loss: 0.3211	LR: 0.000800
Training Epoch: 35 [44032/46200]	Loss: 0.2785	LR: 0.000800
Training Epoch: 35 [44288/46200]	Loss: 0.3280	LR: 0.000800
Training Epoch: 35 [44544/46200]	Loss: 0.2567	LR: 0.000800
Training Epoch: 35 [44800/46200]	Loss: 0.3466	LR: 0.000800
Training Epoch: 35 [45056/46200]	Loss: 0.2576	LR: 0.000800
Training Epoch: 35 [45312/46200]	Loss: 0.2719	LR: 0.000800
Training Epoch: 35 [45568/46200]	Loss: 0.2692	LR: 0.000800
Training Epoch: 35 [45824/46200]	Loss: 0.3454	LR: 0.000800
Training Epoch: 35 [46080/46200]	Loss: 0.3189	LR: 0.000800
Training Epoch: 35 [46200/46200]	Loss: 0.3156	LR: 0.000800
Epoch 35 - Average Train Loss: 0.3081, Train Accuracy: 0.9077
Epoch 35 training time consumed: 25.07s
Evaluating Network.....
Test set: Epoch: 35, Average loss: 0.0030, Accuracy: 0.7838, Time consumed:0.87s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_18h_30m_43s/AllCNN-Cifar20-seed8-ret25-35-best.pth
Training Epoch: 36 [256/46200]	Loss: 0.2757	LR: 0.000800
Training Epoch: 36 [512/46200]	Loss: 0.2776	LR: 0.000800
Training Epoch: 36 [768/46200]	Loss: 0.2763	LR: 0.000800
Training Epoch: 36 [1024/46200]	Loss: 0.2850	LR: 0.000800
Training Epoch: 36 [1280/46200]	Loss: 0.2960	LR: 0.000800
Training Epoch: 36 [1536/46200]	Loss: 0.3260	LR: 0.000800
Training Epoch: 36 [1792/46200]	Loss: 0.2969	LR: 0.000800
Training Epoch: 36 [2048/46200]	Loss: 0.2924	LR: 0.000800
Training Epoch: 36 [2304/46200]	Loss: 0.2821	LR: 0.000800
Training Epoch: 36 [2560/46200]	Loss: 0.2338	LR: 0.000800
Training Epoch: 36 [2816/46200]	Loss: 0.3268	LR: 0.000800
Training Epoch: 36 [3072/46200]	Loss: 0.2599	LR: 0.000800
Training Epoch: 36 [3328/46200]	Loss: 0.2698	LR: 0.000800
Training Epoch: 36 [3584/46200]	Loss: 0.3178	LR: 0.000800
Training Epoch: 36 [3840/46200]	Loss: 0.3377	LR: 0.000800
Training Epoch: 36 [4096/46200]	Loss: 0.2525	LR: 0.000800
Training Epoch: 36 [4352/46200]	Loss: 0.3819	LR: 0.000800
Training Epoch: 36 [4608/46200]	Loss: 0.3168	LR: 0.000800
Training Epoch: 36 [4864/46200]	Loss: 0.2895	LR: 0.000800
Training Epoch: 36 [5120/46200]	Loss: 0.3082	LR: 0.000800
Training Epoch: 36 [5376/46200]	Loss: 0.2943	LR: 0.000800
Training Epoch: 36 [5632/46200]	Loss: 0.2833	LR: 0.000800
Training Epoch: 36 [5888/46200]	Loss: 0.2890	LR: 0.000800
Training Epoch: 36 [6144/46200]	Loss: 0.3038	LR: 0.000800
Training Epoch: 36 [6400/46200]	Loss: 0.2857	LR: 0.000800
Training Epoch: 36 [6656/46200]	Loss: 0.3618	LR: 0.000800
Training Epoch: 36 [6912/46200]	Loss: 0.3193	LR: 0.000800
Training Epoch: 36 [7168/46200]	Loss: 0.3096	LR: 0.000800
Training Epoch: 36 [7424/46200]	Loss: 0.2670	LR: 0.000800
Training Epoch: 36 [7680/46200]	Loss: 0.3388	LR: 0.000800
Training Epoch: 36 [7936/46200]	Loss: 0.2344	LR: 0.000800
Training Epoch: 36 [8192/46200]	Loss: 0.3197	LR: 0.000800
Training Epoch: 36 [8448/46200]	Loss: 0.2889	LR: 0.000800
Training Epoch: 36 [8704/46200]	Loss: 0.3383	LR: 0.000800
Training Epoch: 36 [8960/46200]	Loss: 0.2654	LR: 0.000800
Training Epoch: 36 [9216/46200]	Loss: 0.2639	LR: 0.000800
Training Epoch: 36 [9472/46200]	Loss: 0.3048	LR: 0.000800
Training Epoch: 36 [9728/46200]	Loss: 0.2572	LR: 0.000800
Training Epoch: 36 [9984/46200]	Loss: 0.2694	LR: 0.000800
Training Epoch: 36 [10240/46200]	Loss: 0.3088	LR: 0.000800
Training Epoch: 36 [10496/46200]	Loss: 0.3524	LR: 0.000800
Training Epoch: 36 [10752/46200]	Loss: 0.3232	LR: 0.000800
Training Epoch: 36 [11008/46200]	Loss: 0.2981	LR: 0.000800
Training Epoch: 36 [11264/46200]	Loss: 0.2740	LR: 0.000800
Training Epoch: 36 [11520/46200]	Loss: 0.3242	LR: 0.000800
Training Epoch: 36 [11776/46200]	Loss: 0.2777	LR: 0.000800
Training Epoch: 36 [12032/46200]	Loss: 0.2803	LR: 0.000800
Training Epoch: 36 [12288/46200]	Loss: 0.2838	LR: 0.000800
Training Epoch: 36 [12544/46200]	Loss: 0.3017	LR: 0.000800
Training Epoch: 36 [12800/46200]	Loss: 0.3149	LR: 0.000800
Training Epoch: 36 [13056/46200]	Loss: 0.3358	LR: 0.000800
Training Epoch: 36 [13312/46200]	Loss: 0.2559	LR: 0.000800
Training Epoch: 36 [13568/46200]	Loss: 0.2742	LR: 0.000800
Training Epoch: 36 [13824/46200]	Loss: 0.3157	LR: 0.000800
Training Epoch: 36 [14080/46200]	Loss: 0.3438	LR: 0.000800
Training Epoch: 36 [14336/46200]	Loss: 0.3006	LR: 0.000800
Training Epoch: 36 [14592/46200]	Loss: 0.3086	LR: 0.000800
Training Epoch: 36 [14848/46200]	Loss: 0.3447	LR: 0.000800
Training Epoch: 36 [15104/46200]	Loss: 0.3012	LR: 0.000800
Training Epoch: 36 [15360/46200]	Loss: 0.2851	LR: 0.000800
Training Epoch: 36 [15616/46200]	Loss: 0.3286	LR: 0.000800
Training Epoch: 36 [15872/46200]	Loss: 0.3228	LR: 0.000800
Training Epoch: 36 [16128/46200]	Loss: 0.2690	LR: 0.000800
Training Epoch: 36 [16384/46200]	Loss: 0.3146	LR: 0.000800
Training Epoch: 36 [16640/46200]	Loss: 0.2747	LR: 0.000800
Training Epoch: 36 [16896/46200]	Loss: 0.2556	LR: 0.000800
Training Epoch: 36 [17152/46200]	Loss: 0.3198	LR: 0.000800
Training Epoch: 36 [17408/46200]	Loss: 0.3135	LR: 0.000800
Training Epoch: 36 [17664/46200]	Loss: 0.2532	LR: 0.000800
Training Epoch: 36 [17920/46200]	Loss: 0.2775	LR: 0.000800
Training Epoch: 36 [18176/46200]	Loss: 0.2876	LR: 0.000800
Training Epoch: 36 [18432/46200]	Loss: 0.2649	LR: 0.000800
Training Epoch: 36 [18688/46200]	Loss: 0.2937	LR: 0.000800
Training Epoch: 36 [18944/46200]	Loss: 0.3505	LR: 0.000800
Training Epoch: 36 [19200/46200]	Loss: 0.3279	LR: 0.000800
Training Epoch: 36 [19456/46200]	Loss: 0.3036	LR: 0.000800
Training Epoch: 36 [19712/46200]	Loss: 0.2619	LR: 0.000800
Training Epoch: 36 [19968/46200]	Loss: 0.2949	LR: 0.000800
Training Epoch: 36 [20224/46200]	Loss: 0.3486	LR: 0.000800
Training Epoch: 36 [20480/46200]	Loss: 0.2289	LR: 0.000800
Training Epoch: 36 [20736/46200]	Loss: 0.2360	LR: 0.000800
Training Epoch: 36 [20992/46200]	Loss: 0.3074	LR: 0.000800
Training Epoch: 36 [21248/46200]	Loss: 0.2954	LR: 0.000800
Training Epoch: 36 [21504/46200]	Loss: 0.2442	LR: 0.000800
Training Epoch: 36 [21760/46200]	Loss: 0.3409	LR: 0.000800
Training Epoch: 36 [22016/46200]	Loss: 0.3082	LR: 0.000800
Training Epoch: 36 [22272/46200]	Loss: 0.3689	LR: 0.000800
Training Epoch: 36 [22528/46200]	Loss: 0.3170	LR: 0.000800
Training Epoch: 36 [22784/46200]	Loss: 0.2780	LR: 0.000800
Training Epoch: 36 [23040/46200]	Loss: 0.2565	LR: 0.000800
Training Epoch: 36 [23296/46200]	Loss: 0.3347	LR: 0.000800
Training Epoch: 36 [23552/46200]	Loss: 0.3677	LR: 0.000800
Training Epoch: 36 [23808/46200]	Loss: 0.3306	LR: 0.000800
Training Epoch: 36 [24064/46200]	Loss: 0.3321	LR: 0.000800
Training Epoch: 36 [24320/46200]	Loss: 0.3342	LR: 0.000800
Training Epoch: 36 [24576/46200]	Loss: 0.2913	LR: 0.000800
Training Epoch: 36 [24832/46200]	Loss: 0.3091	LR: 0.000800
Training Epoch: 36 [25088/46200]	Loss: 0.3101	LR: 0.000800
Training Epoch: 36 [25344/46200]	Loss: 0.2938	LR: 0.000800
Training Epoch: 36 [25600/46200]	Loss: 0.2568	LR: 0.000800
Training Epoch: 36 [25856/46200]	Loss: 0.3774	LR: 0.000800
Training Epoch: 36 [26112/46200]	Loss: 0.2812	LR: 0.000800
Training Epoch: 36 [26368/46200]	Loss: 0.2695	LR: 0.000800
Training Epoch: 36 [26624/46200]	Loss: 0.2542	LR: 0.000800
Training Epoch: 36 [26880/46200]	Loss: 0.2986	LR: 0.000800
Training Epoch: 36 [27136/46200]	Loss: 0.2924	LR: 0.000800
Training Epoch: 36 [27392/46200]	Loss: 0.2756	LR: 0.000800
Training Epoch: 36 [27648/46200]	Loss: 0.3211	LR: 0.000800
Training Epoch: 36 [27904/46200]	Loss: 0.2661	LR: 0.000800
Training Epoch: 36 [28160/46200]	Loss: 0.2606	LR: 0.000800
Training Epoch: 36 [28416/46200]	Loss: 0.3497	LR: 0.000800
Training Epoch: 36 [28672/46200]	Loss: 0.2639	LR: 0.000800
Training Epoch: 36 [28928/46200]	Loss: 0.2510	LR: 0.000800
Training Epoch: 36 [29184/46200]	Loss: 0.2961	LR: 0.000800
Training Epoch: 36 [29440/46200]	Loss: 0.2503	LR: 0.000800
Training Epoch: 36 [29696/46200]	Loss: 0.3370	LR: 0.000800
Training Epoch: 36 [29952/46200]	Loss: 0.2894	LR: 0.000800
Training Epoch: 36 [30208/46200]	Loss: 0.2931	LR: 0.000800
Training Epoch: 36 [30464/46200]	Loss: 0.2619	LR: 0.000800
Training Epoch: 36 [30720/46200]	Loss: 0.2986	LR: 0.000800
Training Epoch: 36 [30976/46200]	Loss: 0.3319	LR: 0.000800
Training Epoch: 36 [31232/46200]	Loss: 0.3415	LR: 0.000800
Training Epoch: 36 [31488/46200]	Loss: 0.2901	LR: 0.000800
Training Epoch: 36 [31744/46200]	Loss: 0.2823	LR: 0.000800
Training Epoch: 36 [32000/46200]	Loss: 0.3429	LR: 0.000800
Training Epoch: 36 [32256/46200]	Loss: 0.3094	LR: 0.000800
Training Epoch: 36 [32512/46200]	Loss: 0.3394	LR: 0.000800
Training Epoch: 36 [32768/46200]	Loss: 0.3231	LR: 0.000800
Training Epoch: 36 [33024/46200]	Loss: 0.2960	LR: 0.000800
Training Epoch: 36 [33280/46200]	Loss: 0.2630	LR: 0.000800
Training Epoch: 36 [33536/46200]	Loss: 0.2913	LR: 0.000800
Training Epoch: 36 [33792/46200]	Loss: 0.3493	LR: 0.000800
Training Epoch: 36 [34048/46200]	Loss: 0.2880	LR: 0.000800
Training Epoch: 36 [34304/46200]	Loss: 0.2169	LR: 0.000800
Training Epoch: 36 [34560/46200]	Loss: 0.3401	LR: 0.000800
Training Epoch: 36 [34816/46200]	Loss: 0.3346	LR: 0.000800
Training Epoch: 36 [35072/46200]	Loss: 0.2999	LR: 0.000800
Training Epoch: 36 [35328/46200]	Loss: 0.3426	LR: 0.000800
Training Epoch: 36 [35584/46200]	Loss: 0.2880	LR: 0.000800
Training Epoch: 36 [35840/46200]	Loss: 0.2931	LR: 0.000800
Training Epoch: 36 [36096/46200]	Loss: 0.2718	LR: 0.000800
Training Epoch: 36 [36352/46200]	Loss: 0.2817	LR: 0.000800
Training Epoch: 36 [36608/46200]	Loss: 0.3086	LR: 0.000800
Training Epoch: 36 [36864/46200]	Loss: 0.2728	LR: 0.000800
Training Epoch: 36 [37120/46200]	Loss: 0.2345	LR: 0.000800
Training Epoch: 36 [37376/46200]	Loss: 0.2851	LR: 0.000800
Training Epoch: 36 [37632/46200]	Loss: 0.2423	LR: 0.000800
Training Epoch: 36 [37888/46200]	Loss: 0.2798	LR: 0.000800
Training Epoch: 36 [38144/46200]	Loss: 0.2917	LR: 0.000800
Training Epoch: 36 [38400/46200]	Loss: 0.2672	LR: 0.000800
Training Epoch: 36 [38656/46200]	Loss: 0.3427	LR: 0.000800
Training Epoch: 36 [38912/46200]	Loss: 0.2382	LR: 0.000800
Training Epoch: 36 [39168/46200]	Loss: 0.3280	LR: 0.000800
Training Epoch: 36 [39424/46200]	Loss: 0.3017	LR: 0.000800
Training Epoch: 36 [39680/46200]	Loss: 0.3618	LR: 0.000800
Training Epoch: 36 [39936/46200]	Loss: 0.2779	LR: 0.000800
Training Epoch: 36 [40192/46200]	Loss: 0.3504	LR: 0.000800
Training Epoch: 36 [40448/46200]	Loss: 0.2758	LR: 0.000800
Training Epoch: 36 [40704/46200]	Loss: 0.3328	LR: 0.000800
Training Epoch: 36 [40960/46200]	Loss: 0.2919	LR: 0.000800
Training Epoch: 36 [41216/46200]	Loss: 0.2845	LR: 0.000800
Training Epoch: 36 [41472/46200]	Loss: 0.3208	LR: 0.000800
Training Epoch: 36 [41728/46200]	Loss: 0.3581	LR: 0.000800
Training Epoch: 36 [41984/46200]	Loss: 0.3336	LR: 0.000800
Training Epoch: 36 [42240/46200]	Loss: 0.3161	LR: 0.000800
Training Epoch: 36 [42496/46200]	Loss: 0.3272	LR: 0.000800
Training Epoch: 36 [42752/46200]	Loss: 0.3233	LR: 0.000800
Training Epoch: 36 [43008/46200]	Loss: 0.2594	LR: 0.000800
Training Epoch: 36 [43264/46200]	Loss: 0.3361	LR: 0.000800
Training Epoch: 36 [43520/46200]	Loss: 0.2735	LR: 0.000800
Training Epoch: 36 [43776/46200]	Loss: 0.3298	LR: 0.000800
Training Epoch: 36 [44032/46200]	Loss: 0.3471	LR: 0.000800
Training Epoch: 36 [44288/46200]	Loss: 0.3493	LR: 0.000800
Training Epoch: 36 [44544/46200]	Loss: 0.2973	LR: 0.000800
Training Epoch: 36 [44800/46200]	Loss: 0.2889	LR: 0.000800
Training Epoch: 36 [45056/46200]	Loss: 0.3105	LR: 0.000800
Training Epoch: 36 [45312/46200]	Loss: 0.3388	LR: 0.000800
Training Epoch: 36 [45568/46200]	Loss: 0.3016	LR: 0.000800
Training Epoch: 36 [45824/46200]	Loss: 0.2621	LR: 0.000800
Training Epoch: 36 [46080/46200]	Loss: 0.3405	LR: 0.000800
Training Epoch: 36 [46200/46200]	Loss: 0.3937	LR: 0.000800
Epoch 36 - Average Train Loss: 0.3002, Train Accuracy: 0.9107
Epoch 36 training time consumed: 25.22s
Evaluating Network.....
Test set: Epoch: 36, Average loss: 0.0030, Accuracy: 0.7812, Time consumed:0.86s
Training Epoch: 37 [256/46200]	Loss: 0.3282	LR: 0.000800
Training Epoch: 37 [512/46200]	Loss: 0.2589	LR: 0.000800
Training Epoch: 37 [768/46200]	Loss: 0.2848	LR: 0.000800
Training Epoch: 37 [1024/46200]	Loss: 0.3517	LR: 0.000800
Training Epoch: 37 [1280/46200]	Loss: 0.2677	LR: 0.000800
Training Epoch: 37 [1536/46200]	Loss: 0.3480	LR: 0.000800
Training Epoch: 37 [1792/46200]	Loss: 0.2751	LR: 0.000800
Training Epoch: 37 [2048/46200]	Loss: 0.2575	LR: 0.000800
Training Epoch: 37 [2304/46200]	Loss: 0.3392	LR: 0.000800
Training Epoch: 37 [2560/46200]	Loss: 0.3455	LR: 0.000800
Training Epoch: 37 [2816/46200]	Loss: 0.4033	LR: 0.000800
Training Epoch: 37 [3072/46200]	Loss: 0.3393	LR: 0.000800
Training Epoch: 37 [3328/46200]	Loss: 0.3516	LR: 0.000800
Training Epoch: 37 [3584/46200]	Loss: 0.2164	LR: 0.000800
Training Epoch: 37 [3840/46200]	Loss: 0.2948	LR: 0.000800
Training Epoch: 37 [4096/46200]	Loss: 0.2373	LR: 0.000800
Training Epoch: 37 [4352/46200]	Loss: 0.2904	LR: 0.000800
Training Epoch: 37 [4608/46200]	Loss: 0.2752	LR: 0.000800
Training Epoch: 37 [4864/46200]	Loss: 0.3391	LR: 0.000800
Training Epoch: 37 [5120/46200]	Loss: 0.3491	LR: 0.000800
Training Epoch: 37 [5376/46200]	Loss: 0.2618	LR: 0.000800
Training Epoch: 37 [5632/46200]	Loss: 0.3478	LR: 0.000800
Training Epoch: 37 [5888/46200]	Loss: 0.2698	LR: 0.000800
Training Epoch: 37 [6144/46200]	Loss: 0.2480	LR: 0.000800
Training Epoch: 37 [6400/46200]	Loss: 0.2344	LR: 0.000800
Training Epoch: 37 [6656/46200]	Loss: 0.2277	LR: 0.000800
Training Epoch: 37 [6912/46200]	Loss: 0.3312	LR: 0.000800
Training Epoch: 37 [7168/46200]	Loss: 0.2989	LR: 0.000800
Training Epoch: 37 [7424/46200]	Loss: 0.3186	LR: 0.000800
Training Epoch: 37 [7680/46200]	Loss: 0.3558	LR: 0.000800
Training Epoch: 37 [7936/46200]	Loss: 0.3963	LR: 0.000800
Training Epoch: 37 [8192/46200]	Loss: 0.3012	LR: 0.000800
Training Epoch: 37 [8448/46200]	Loss: 0.3124	LR: 0.000800
Training Epoch: 37 [8704/46200]	Loss: 0.2861	LR: 0.000800
Training Epoch: 37 [8960/46200]	Loss: 0.2564	LR: 0.000800
Training Epoch: 37 [9216/46200]	Loss: 0.2736	LR: 0.000800
Training Epoch: 37 [9472/46200]	Loss: 0.2968	LR: 0.000800
Training Epoch: 37 [9728/46200]	Loss: 0.2806	LR: 0.000800
Training Epoch: 37 [9984/46200]	Loss: 0.2552	LR: 0.000800
Training Epoch: 37 [10240/46200]	Loss: 0.2988	LR: 0.000800
Training Epoch: 37 [10496/46200]	Loss: 0.2777	LR: 0.000800
Training Epoch: 37 [10752/46200]	Loss: 0.3539	LR: 0.000800
Training Epoch: 37 [11008/46200]	Loss: 0.3696	LR: 0.000800
Training Epoch: 37 [11264/46200]	Loss: 0.3184	LR: 0.000800
Training Epoch: 37 [11520/46200]	Loss: 0.3092	LR: 0.000800
Training Epoch: 37 [11776/46200]	Loss: 0.2924	LR: 0.000800
Training Epoch: 37 [12032/46200]	Loss: 0.3863	LR: 0.000800
Training Epoch: 37 [12288/46200]	Loss: 0.3172	LR: 0.000800
Training Epoch: 37 [12544/46200]	Loss: 0.3350	LR: 0.000800
Training Epoch: 37 [12800/46200]	Loss: 0.2786	LR: 0.000800
Training Epoch: 37 [13056/46200]	Loss: 0.3048	LR: 0.000800
Training Epoch: 37 [13312/46200]	Loss: 0.3155	LR: 0.000800
Training Epoch: 37 [13568/46200]	Loss: 0.3188	LR: 0.000800
Training Epoch: 37 [13824/46200]	Loss: 0.2431	LR: 0.000800
Training Epoch: 37 [14080/46200]	Loss: 0.2463	LR: 0.000800
Training Epoch: 37 [14336/46200]	Loss: 0.3287	LR: 0.000800
Training Epoch: 37 [14592/46200]	Loss: 0.3117	LR: 0.000800
Training Epoch: 37 [14848/46200]	Loss: 0.3577	LR: 0.000800
Training Epoch: 37 [15104/46200]	Loss: 0.3742	LR: 0.000800
Training Epoch: 37 [15360/46200]	Loss: 0.3352	LR: 0.000800
Training Epoch: 37 [15616/46200]	Loss: 0.2826	LR: 0.000800
Training Epoch: 37 [15872/46200]	Loss: 0.2546	LR: 0.000800
Training Epoch: 37 [16128/46200]	Loss: 0.3024	LR: 0.000800
Training Epoch: 37 [16384/46200]	Loss: 0.3224	LR: 0.000800
Training Epoch: 37 [16640/46200]	Loss: 0.2955	LR: 0.000800
Training Epoch: 37 [16896/46200]	Loss: 0.2561	LR: 0.000800
Training Epoch: 37 [17152/46200]	Loss: 0.2498	LR: 0.000800
Training Epoch: 37 [17408/46200]	Loss: 0.2395	LR: 0.000800
Training Epoch: 37 [17664/46200]	Loss: 0.3378	LR: 0.000800
Training Epoch: 37 [17920/46200]	Loss: 0.2848	LR: 0.000800
Training Epoch: 37 [18176/46200]	Loss: 0.2730	LR: 0.000800
Training Epoch: 37 [18432/46200]	Loss: 0.3270	LR: 0.000800
Training Epoch: 37 [18688/46200]	Loss: 0.3099	LR: 0.000800
Training Epoch: 37 [18944/46200]	Loss: 0.2807	LR: 0.000800
Training Epoch: 37 [19200/46200]	Loss: 0.2647	LR: 0.000800
Training Epoch: 37 [19456/46200]	Loss: 0.3154	LR: 0.000800
Training Epoch: 37 [19712/46200]	Loss: 0.2792	LR: 0.000800
Training Epoch: 37 [19968/46200]	Loss: 0.2860	LR: 0.000800
Training Epoch: 37 [20224/46200]	Loss: 0.2754	LR: 0.000800
Training Epoch: 37 [20480/46200]	Loss: 0.3062	LR: 0.000800
Training Epoch: 37 [20736/46200]	Loss: 0.3040	LR: 0.000800
Training Epoch: 37 [20992/46200]	Loss: 0.2952	LR: 0.000800
Training Epoch: 37 [21248/46200]	Loss: 0.2995	LR: 0.000800
Training Epoch: 37 [21504/46200]	Loss: 0.2719	LR: 0.000800
Training Epoch: 37 [21760/46200]	Loss: 0.2965	LR: 0.000800
Training Epoch: 37 [22016/46200]	Loss: 0.2559	LR: 0.000800
Training Epoch: 37 [22272/46200]	Loss: 0.3186	LR: 0.000800
Training Epoch: 37 [22528/46200]	Loss: 0.2500	LR: 0.000800
Training Epoch: 37 [22784/46200]	Loss: 0.2941	LR: 0.000800
Training Epoch: 37 [23040/46200]	Loss: 0.3253	LR: 0.000800
Training Epoch: 37 [23296/46200]	Loss: 0.2648	LR: 0.000800
Training Epoch: 37 [23552/46200]	Loss: 0.2886	LR: 0.000800
Training Epoch: 37 [23808/46200]	Loss: 0.2493	LR: 0.000800
Training Epoch: 37 [24064/46200]	Loss: 0.2832	LR: 0.000800
Training Epoch: 37 [24320/46200]	Loss: 0.2441	LR: 0.000800
Training Epoch: 37 [24576/46200]	Loss: 0.2491	LR: 0.000800
Training Epoch: 37 [24832/46200]	Loss: 0.2733	LR: 0.000800
Training Epoch: 37 [25088/46200]	Loss: 0.2454	LR: 0.000800
Training Epoch: 37 [25344/46200]	Loss: 0.2671	LR: 0.000800
Training Epoch: 37 [25600/46200]	Loss: 0.2600	LR: 0.000800
Training Epoch: 37 [25856/46200]	Loss: 0.3298	LR: 0.000800
Training Epoch: 37 [26112/46200]	Loss: 0.3343	LR: 0.000800
Training Epoch: 37 [26368/46200]	Loss: 0.2724	LR: 0.000800
Training Epoch: 37 [26624/46200]	Loss: 0.3562	LR: 0.000800
Training Epoch: 37 [26880/46200]	Loss: 0.2279	LR: 0.000800
Training Epoch: 37 [27136/46200]	Loss: 0.2837	LR: 0.000800
Training Epoch: 37 [27392/46200]	Loss: 0.2982	LR: 0.000800
Training Epoch: 37 [27648/46200]	Loss: 0.2496	LR: 0.000800
Training Epoch: 37 [27904/46200]	Loss: 0.4025	LR: 0.000800
Training Epoch: 37 [28160/46200]	Loss: 0.2632	LR: 0.000800
Training Epoch: 37 [28416/46200]	Loss: 0.3381	LR: 0.000800
Training Epoch: 37 [28672/46200]	Loss: 0.2958	LR: 0.000800
Training Epoch: 37 [28928/46200]	Loss: 0.2591	LR: 0.000800
Training Epoch: 37 [29184/46200]	Loss: 0.2936	LR: 0.000800
Training Epoch: 37 [29440/46200]	Loss: 0.3341	LR: 0.000800
Training Epoch: 37 [29696/46200]	Loss: 0.2389	LR: 0.000800
Training Epoch: 37 [29952/46200]	Loss: 0.3234	LR: 0.000800
Training Epoch: 37 [30208/46200]	Loss: 0.3494	LR: 0.000800
Training Epoch: 37 [30464/46200]	Loss: 0.3310	LR: 0.000800
Training Epoch: 37 [30720/46200]	Loss: 0.2811	LR: 0.000800
Training Epoch: 37 [30976/46200]	Loss: 0.3139	LR: 0.000800
Training Epoch: 37 [31232/46200]	Loss: 0.3710	LR: 0.000800
Training Epoch: 37 [31488/46200]	Loss: 0.2681	LR: 0.000800
Training Epoch: 37 [31744/46200]	Loss: 0.2458	LR: 0.000800
Training Epoch: 37 [32000/46200]	Loss: 0.3497	LR: 0.000800
Training Epoch: 37 [32256/46200]	Loss: 0.2654	LR: 0.000800
Training Epoch: 37 [32512/46200]	Loss: 0.2868	LR: 0.000800
Training Epoch: 37 [32768/46200]	Loss: 0.3221	LR: 0.000800
Training Epoch: 37 [33024/46200]	Loss: 0.2261	LR: 0.000800
Training Epoch: 37 [33280/46200]	Loss: 0.3079	LR: 0.000800
Training Epoch: 37 [33536/46200]	Loss: 0.2590	LR: 0.000800
Training Epoch: 37 [33792/46200]	Loss: 0.2734	LR: 0.000800
Training Epoch: 37 [34048/46200]	Loss: 0.3061	LR: 0.000800
Training Epoch: 37 [34304/46200]	Loss: 0.3497	LR: 0.000800
Training Epoch: 37 [34560/46200]	Loss: 0.3299	LR: 0.000800
Training Epoch: 37 [34816/46200]	Loss: 0.3085	LR: 0.000800
Training Epoch: 37 [35072/46200]	Loss: 0.3308	LR: 0.000800
Training Epoch: 37 [35328/46200]	Loss: 0.2879	LR: 0.000800
Training Epoch: 37 [35584/46200]	Loss: 0.3267	LR: 0.000800
Training Epoch: 37 [35840/46200]	Loss: 0.3237	LR: 0.000800
Training Epoch: 37 [36096/46200]	Loss: 0.3123	LR: 0.000800
Training Epoch: 37 [36352/46200]	Loss: 0.3330	LR: 0.000800
Training Epoch: 37 [36608/46200]	Loss: 0.3194	LR: 0.000800
Training Epoch: 37 [36864/46200]	Loss: 0.2733	LR: 0.000800
Training Epoch: 37 [37120/46200]	Loss: 0.3323	LR: 0.000800
Training Epoch: 37 [37376/46200]	Loss: 0.3136	LR: 0.000800
Training Epoch: 37 [37632/46200]	Loss: 0.2867	LR: 0.000800
Training Epoch: 37 [37888/46200]	Loss: 0.2312	LR: 0.000800
Training Epoch: 37 [38144/46200]	Loss: 0.3072	LR: 0.000800
Training Epoch: 37 [38400/46200]	Loss: 0.2386	LR: 0.000800
Training Epoch: 37 [38656/46200]	Loss: 0.3192	LR: 0.000800
Training Epoch: 37 [38912/46200]	Loss: 0.2974	LR: 0.000800
Training Epoch: 37 [39168/46200]	Loss: 0.2668	LR: 0.000800
Training Epoch: 37 [39424/46200]	Loss: 0.3071	LR: 0.000800
Training Epoch: 37 [39680/46200]	Loss: 0.2511	LR: 0.000800
Training Epoch: 37 [39936/46200]	Loss: 0.3044	LR: 0.000800
Training Epoch: 37 [40192/46200]	Loss: 0.2836	LR: 0.000800
Training Epoch: 37 [40448/46200]	Loss: 0.2356	LR: 0.000800
Training Epoch: 37 [40704/46200]	Loss: 0.2763	LR: 0.000800
Training Epoch: 37 [40960/46200]	Loss: 0.2294	LR: 0.000800
Training Epoch: 37 [41216/46200]	Loss: 0.2789	LR: 0.000800
Training Epoch: 37 [41472/46200]	Loss: 0.2449	LR: 0.000800
Training Epoch: 37 [41728/46200]	Loss: 0.3367	LR: 0.000800
Training Epoch: 37 [41984/46200]	Loss: 0.3130	LR: 0.000800
Training Epoch: 37 [42240/46200]	Loss: 0.2313	LR: 0.000800
Training Epoch: 37 [42496/46200]	Loss: 0.3134	LR: 0.000800
Training Epoch: 37 [42752/46200]	Loss: 0.2849	LR: 0.000800
Training Epoch: 37 [43008/46200]	Loss: 0.3542	LR: 0.000800
Training Epoch: 37 [43264/46200]	Loss: 0.2700	LR: 0.000800
Training Epoch: 37 [43520/46200]	Loss: 0.3099	LR: 0.000800
Training Epoch: 37 [43776/46200]	Loss: 0.2657	LR: 0.000800
Training Epoch: 37 [44032/46200]	Loss: 0.3565	LR: 0.000800
Training Epoch: 37 [44288/46200]	Loss: 0.2736	LR: 0.000800
Training Epoch: 37 [44544/46200]	Loss: 0.3531	LR: 0.000800
Training Epoch: 37 [44800/46200]	Loss: 0.2821	LR: 0.000800
Training Epoch: 37 [45056/46200]	Loss: 0.3784	LR: 0.000800
Training Epoch: 37 [45312/46200]	Loss: 0.2861	LR: 0.000800
Training Epoch: 37 [45568/46200]	Loss: 0.3442	LR: 0.000800
Training Epoch: 37 [45824/46200]	Loss: 0.3165	LR: 0.000800
Training Epoch: 37 [46080/46200]	Loss: 0.3692	LR: 0.000800
Training Epoch: 37 [46200/46200]	Loss: 0.3317	LR: 0.000800
Epoch 37 - Average Train Loss: 0.2982, Train Accuracy: 0.9105
Epoch 37 training time consumed: 25.08s
Evaluating Network.....
Test set: Epoch: 37, Average loss: 0.0030, Accuracy: 0.7817, Time consumed:1.36s
Training Epoch: 38 [256/46200]	Loss: 0.3117	LR: 0.000800
Training Epoch: 38 [512/46200]	Loss: 0.2336	LR: 0.000800
Training Epoch: 38 [768/46200]	Loss: 0.2980	LR: 0.000800
Training Epoch: 38 [1024/46200]	Loss: 0.3239	LR: 0.000800
Training Epoch: 38 [1280/46200]	Loss: 0.2448	LR: 0.000800
Training Epoch: 38 [1536/46200]	Loss: 0.3649	LR: 0.000800
Training Epoch: 38 [1792/46200]	Loss: 0.3093	LR: 0.000800
Training Epoch: 38 [2048/46200]	Loss: 0.1832	LR: 0.000800
Training Epoch: 38 [2304/46200]	Loss: 0.3722	LR: 0.000800
Training Epoch: 38 [2560/46200]	Loss: 0.2644	LR: 0.000800
Training Epoch: 38 [2816/46200]	Loss: 0.2686	LR: 0.000800
Training Epoch: 38 [3072/46200]	Loss: 0.2749	LR: 0.000800
Training Epoch: 38 [3328/46200]	Loss: 0.3220	LR: 0.000800
Training Epoch: 38 [3584/46200]	Loss: 0.2889	LR: 0.000800
Training Epoch: 38 [3840/46200]	Loss: 0.2838	LR: 0.000800
Training Epoch: 38 [4096/46200]	Loss: 0.2161	LR: 0.000800
Training Epoch: 38 [4352/46200]	Loss: 0.2932	LR: 0.000800
Training Epoch: 38 [4608/46200]	Loss: 0.2936	LR: 0.000800
Training Epoch: 38 [4864/46200]	Loss: 0.2395	LR: 0.000800
Training Epoch: 38 [5120/46200]	Loss: 0.3360	LR: 0.000800
Training Epoch: 38 [5376/46200]	Loss: 0.3095	LR: 0.000800
Training Epoch: 38 [5632/46200]	Loss: 0.2727	LR: 0.000800
Training Epoch: 38 [5888/46200]	Loss: 0.3208	LR: 0.000800
Training Epoch: 38 [6144/46200]	Loss: 0.3354	LR: 0.000800
Training Epoch: 38 [6400/46200]	Loss: 0.3087	LR: 0.000800
Training Epoch: 38 [6656/46200]	Loss: 0.3449	LR: 0.000800
Training Epoch: 38 [6912/46200]	Loss: 0.2895	LR: 0.000800
Training Epoch: 38 [7168/46200]	Loss: 0.2678	LR: 0.000800
Training Epoch: 38 [7424/46200]	Loss: 0.2461	LR: 0.000800
Training Epoch: 38 [7680/46200]	Loss: 0.2778	LR: 0.000800
Training Epoch: 38 [7936/46200]	Loss: 0.2538	LR: 0.000800
Training Epoch: 38 [8192/46200]	Loss: 0.2194	LR: 0.000800
Training Epoch: 38 [8448/46200]	Loss: 0.2867	LR: 0.000800
Training Epoch: 38 [8704/46200]	Loss: 0.2562	LR: 0.000800
Training Epoch: 38 [8960/46200]	Loss: 0.3210	LR: 0.000800
Training Epoch: 38 [9216/46200]	Loss: 0.3032	LR: 0.000800
Training Epoch: 38 [9472/46200]	Loss: 0.2816	LR: 0.000800
Training Epoch: 38 [9728/46200]	Loss: 0.3187	LR: 0.000800
Training Epoch: 38 [9984/46200]	Loss: 0.3183	LR: 0.000800
Training Epoch: 38 [10240/46200]	Loss: 0.2848	LR: 0.000800
Training Epoch: 38 [10496/46200]	Loss: 0.2985	LR: 0.000800
Training Epoch: 38 [10752/46200]	Loss: 0.2857	LR: 0.000800
Training Epoch: 38 [11008/46200]	Loss: 0.2041	LR: 0.000800
Training Epoch: 38 [11264/46200]	Loss: 0.2526	LR: 0.000800
Training Epoch: 38 [11520/46200]	Loss: 0.2446	LR: 0.000800
Training Epoch: 38 [11776/46200]	Loss: 0.2301	LR: 0.000800
Training Epoch: 38 [12032/46200]	Loss: 0.3028	LR: 0.000800
Training Epoch: 38 [12288/46200]	Loss: 0.3110	LR: 0.000800
Training Epoch: 38 [12544/46200]	Loss: 0.2777	LR: 0.000800
Training Epoch: 38 [12800/46200]	Loss: 0.2718	LR: 0.000800
Training Epoch: 38 [13056/46200]	Loss: 0.2989	LR: 0.000800
Training Epoch: 38 [13312/46200]	Loss: 0.2851	LR: 0.000800
Training Epoch: 38 [13568/46200]	Loss: 0.3338	LR: 0.000800
Training Epoch: 38 [13824/46200]	Loss: 0.3289	LR: 0.000800
Training Epoch: 38 [14080/46200]	Loss: 0.3463	LR: 0.000800
Training Epoch: 38 [14336/46200]	Loss: 0.2502	LR: 0.000800
Training Epoch: 38 [14592/46200]	Loss: 0.3077	LR: 0.000800
Training Epoch: 38 [14848/46200]	Loss: 0.2472	LR: 0.000800
Training Epoch: 38 [15104/46200]	Loss: 0.2549	LR: 0.000800
Training Epoch: 38 [15360/46200]	Loss: 0.2811	LR: 0.000800
Training Epoch: 38 [15616/46200]	Loss: 0.3184	LR: 0.000800
Training Epoch: 38 [15872/46200]	Loss: 0.2558	LR: 0.000800
Training Epoch: 38 [16128/46200]	Loss: 0.3385	LR: 0.000800
Training Epoch: 38 [16384/46200]	Loss: 0.2967	LR: 0.000800
Training Epoch: 38 [16640/46200]	Loss: 0.2988	LR: 0.000800
Training Epoch: 38 [16896/46200]	Loss: 0.3476	LR: 0.000800
Training Epoch: 38 [17152/46200]	Loss: 0.3406	LR: 0.000800
Training Epoch: 38 [17408/46200]	Loss: 0.4138	LR: 0.000800
Training Epoch: 38 [17664/46200]	Loss: 0.2642	LR: 0.000800
Training Epoch: 38 [17920/46200]	Loss: 0.2745	LR: 0.000800
Training Epoch: 38 [18176/46200]	Loss: 0.2489	LR: 0.000800
Training Epoch: 38 [18432/46200]	Loss: 0.3701	LR: 0.000800
Training Epoch: 38 [18688/46200]	Loss: 0.3025	LR: 0.000800
Training Epoch: 38 [18944/46200]	Loss: 0.2664	LR: 0.000800
Training Epoch: 38 [19200/46200]	Loss: 0.2997	LR: 0.000800
Training Epoch: 38 [19456/46200]	Loss: 0.2687	LR: 0.000800
Training Epoch: 38 [19712/46200]	Loss: 0.2509	LR: 0.000800
Training Epoch: 38 [19968/46200]	Loss: 0.2858	LR: 0.000800
Training Epoch: 38 [20224/46200]	Loss: 0.2341	LR: 0.000800
Training Epoch: 38 [20480/46200]	Loss: 0.3494	LR: 0.000800
Training Epoch: 38 [20736/46200]	Loss: 0.3016	LR: 0.000800
Training Epoch: 38 [20992/46200]	Loss: 0.3595	LR: 0.000800
Training Epoch: 38 [21248/46200]	Loss: 0.3432	LR: 0.000800
Training Epoch: 38 [21504/46200]	Loss: 0.2475	LR: 0.000800
Training Epoch: 38 [21760/46200]	Loss: 0.2582	LR: 0.000800
Training Epoch: 38 [22016/46200]	Loss: 0.2815	LR: 0.000800
Training Epoch: 38 [22272/46200]	Loss: 0.3839	LR: 0.000800
Training Epoch: 38 [22528/46200]	Loss: 0.3150	LR: 0.000800
Training Epoch: 38 [22784/46200]	Loss: 0.3204	LR: 0.000800
Training Epoch: 38 [23040/46200]	Loss: 0.2665	LR: 0.000800
Training Epoch: 38 [23296/46200]	Loss: 0.2927	LR: 0.000800
Training Epoch: 38 [23552/46200]	Loss: 0.2166	LR: 0.000800
Training Epoch: 38 [23808/46200]	Loss: 0.2766	LR: 0.000800
Training Epoch: 38 [24064/46200]	Loss: 0.2968	LR: 0.000800
Training Epoch: 38 [24320/46200]	Loss: 0.3030	LR: 0.000800
Training Epoch: 38 [24576/46200]	Loss: 0.3320	LR: 0.000800
Training Epoch: 38 [24832/46200]	Loss: 0.2637	LR: 0.000800
Training Epoch: 38 [25088/46200]	Loss: 0.2632	LR: 0.000800
Training Epoch: 38 [25344/46200]	Loss: 0.2844	LR: 0.000800
Training Epoch: 38 [25600/46200]	Loss: 0.2752	LR: 0.000800
Training Epoch: 38 [25856/46200]	Loss: 0.3068	LR: 0.000800
Training Epoch: 38 [26112/46200]	Loss: 0.3886	LR: 0.000800
Training Epoch: 38 [26368/46200]	Loss: 0.2863	LR: 0.000800
Training Epoch: 38 [26624/46200]	Loss: 0.3065	LR: 0.000800
Training Epoch: 38 [26880/46200]	Loss: 0.2422	LR: 0.000800
Training Epoch: 38 [27136/46200]	Loss: 0.3077	LR: 0.000800
Training Epoch: 38 [27392/46200]	Loss: 0.3257	LR: 0.000800
Training Epoch: 38 [27648/46200]	Loss: 0.2640	LR: 0.000800
Training Epoch: 38 [27904/46200]	Loss: 0.2855	LR: 0.000800
Training Epoch: 38 [28160/46200]	Loss: 0.2750	LR: 0.000800
Training Epoch: 38 [28416/46200]	Loss: 0.3423	LR: 0.000800
Training Epoch: 38 [28672/46200]	Loss: 0.2529	LR: 0.000800
Training Epoch: 38 [28928/46200]	Loss: 0.3363	LR: 0.000800
Training Epoch: 38 [29184/46200]	Loss: 0.3672	LR: 0.000800
Training Epoch: 38 [29440/46200]	Loss: 0.2427	LR: 0.000800
Training Epoch: 38 [29696/46200]	Loss: 0.2906	LR: 0.000800
Training Epoch: 38 [29952/46200]	Loss: 0.2824	LR: 0.000800
Training Epoch: 38 [30208/46200]	Loss: 0.3763	LR: 0.000800
Training Epoch: 38 [30464/46200]	Loss: 0.3149	LR: 0.000800
Training Epoch: 38 [30720/46200]	Loss: 0.2732	LR: 0.000800
Training Epoch: 38 [30976/46200]	Loss: 0.2859	LR: 0.000800
Training Epoch: 38 [31232/46200]	Loss: 0.3074	LR: 0.000800
Training Epoch: 38 [31488/46200]	Loss: 0.3012	LR: 0.000800
Training Epoch: 38 [31744/46200]	Loss: 0.2327	LR: 0.000800
Training Epoch: 38 [32000/46200]	Loss: 0.2818	LR: 0.000800
Training Epoch: 38 [32256/46200]	Loss: 0.2746	LR: 0.000800
Training Epoch: 38 [32512/46200]	Loss: 0.3354	LR: 0.000800
Training Epoch: 38 [32768/46200]	Loss: 0.3411	LR: 0.000800
Training Epoch: 38 [33024/46200]	Loss: 0.2884	LR: 0.000800
Training Epoch: 38 [33280/46200]	Loss: 0.3265	LR: 0.000800
Training Epoch: 38 [33536/46200]	Loss: 0.2571	LR: 0.000800
Training Epoch: 38 [33792/46200]	Loss: 0.3630	LR: 0.000800
Training Epoch: 38 [34048/46200]	Loss: 0.2944	LR: 0.000800
Training Epoch: 38 [34304/46200]	Loss: 0.2990	LR: 0.000800
Training Epoch: 38 [34560/46200]	Loss: 0.2764	LR: 0.000800
Training Epoch: 38 [34816/46200]	Loss: 0.2974	LR: 0.000800
Training Epoch: 38 [35072/46200]	Loss: 0.3711	LR: 0.000800
Training Epoch: 38 [35328/46200]	Loss: 0.3911	LR: 0.000800
Training Epoch: 38 [35584/46200]	Loss: 0.2495	LR: 0.000800
Training Epoch: 38 [35840/46200]	Loss: 0.2928	LR: 0.000800
Training Epoch: 38 [36096/46200]	Loss: 0.2886	LR: 0.000800
Training Epoch: 38 [36352/46200]	Loss: 0.2602	LR: 0.000800
Training Epoch: 38 [36608/46200]	Loss: 0.3019	LR: 0.000800
Training Epoch: 38 [36864/46200]	Loss: 0.3397	LR: 0.000800
Training Epoch: 38 [37120/46200]	Loss: 0.2991	LR: 0.000800
Training Epoch: 38 [37376/46200]	Loss: 0.2607	LR: 0.000800
Training Epoch: 38 [37632/46200]	Loss: 0.2671	LR: 0.000800
Training Epoch: 38 [37888/46200]	Loss: 0.2769	LR: 0.000800
Training Epoch: 38 [38144/46200]	Loss: 0.2114	LR: 0.000800
Training Epoch: 38 [38400/46200]	Loss: 0.2977	LR: 0.000800
Training Epoch: 38 [38656/46200]	Loss: 0.3069	LR: 0.000800
Training Epoch: 38 [38912/46200]	Loss: 0.2330	LR: 0.000800
Training Epoch: 38 [39168/46200]	Loss: 0.3140	LR: 0.000800
Training Epoch: 38 [39424/46200]	Loss: 0.2719	LR: 0.000800
Training Epoch: 38 [39680/46200]	Loss: 0.2231	LR: 0.000800
Training Epoch: 38 [39936/46200]	Loss: 0.2879	LR: 0.000800
Training Epoch: 38 [40192/46200]	Loss: 0.2657	LR: 0.000800
Training Epoch: 38 [40448/46200]	Loss: 0.3244	LR: 0.000800
Training Epoch: 38 [40704/46200]	Loss: 0.3448	LR: 0.000800
Training Epoch: 38 [40960/46200]	Loss: 0.2976	LR: 0.000800
Training Epoch: 38 [41216/46200]	Loss: 0.2821	LR: 0.000800
Training Epoch: 38 [41472/46200]	Loss: 0.2896	LR: 0.000800
Training Epoch: 38 [41728/46200]	Loss: 0.2889	LR: 0.000800
Training Epoch: 38 [41984/46200]	Loss: 0.3127	LR: 0.000800
Training Epoch: 38 [42240/46200]	Loss: 0.2450	LR: 0.000800
Training Epoch: 38 [42496/46200]	Loss: 0.3038	LR: 0.000800
Training Epoch: 38 [42752/46200]	Loss: 0.3613	LR: 0.000800
Training Epoch: 38 [43008/46200]	Loss: 0.2085	LR: 0.000800
Training Epoch: 38 [43264/46200]	Loss: 0.2937	LR: 0.000800
Training Epoch: 38 [43520/46200]	Loss: 0.3748	LR: 0.000800
Training Epoch: 38 [43776/46200]	Loss: 0.2420	LR: 0.000800
Training Epoch: 38 [44032/46200]	Loss: 0.2920	LR: 0.000800
Training Epoch: 38 [44288/46200]	Loss: 0.3175	LR: 0.000800
Training Epoch: 38 [44544/46200]	Loss: 0.2829	LR: 0.000800
Training Epoch: 38 [44800/46200]	Loss: 0.3186	LR: 0.000800
Training Epoch: 38 [45056/46200]	Loss: 0.2966	LR: 0.000800
Training Epoch: 38 [45312/46200]	Loss: 0.3107	LR: 0.000800
Training Epoch: 38 [45568/46200]	Loss: 0.3274	LR: 0.000800
Training Epoch: 38 [45824/46200]	Loss: 0.2707	LR: 0.000800
Training Epoch: 38 [46080/46200]	Loss: 0.3108	LR: 0.000800
Training Epoch: 38 [46200/46200]	Loss: 0.2992	LR: 0.000800
Epoch 38 - Average Train Loss: 0.2933, Train Accuracy: 0.9134
Epoch 38 training time consumed: 25.42s
Evaluating Network.....
Test set: Epoch: 38, Average loss: 0.0030, Accuracy: 0.7826, Time consumed:0.92s
Training Epoch: 39 [256/46200]	Loss: 0.2636	LR: 0.000800
Training Epoch: 39 [512/46200]	Loss: 0.3329	LR: 0.000800
Training Epoch: 39 [768/46200]	Loss: 0.3199	LR: 0.000800
Training Epoch: 39 [1024/46200]	Loss: 0.2929	LR: 0.000800
Training Epoch: 39 [1280/46200]	Loss: 0.2112	LR: 0.000800
Training Epoch: 39 [1536/46200]	Loss: 0.2746	LR: 0.000800
Training Epoch: 39 [1792/46200]	Loss: 0.2309	LR: 0.000800
Training Epoch: 39 [2048/46200]	Loss: 0.2585	LR: 0.000800
Training Epoch: 39 [2304/46200]	Loss: 0.2716	LR: 0.000800
Training Epoch: 39 [2560/46200]	Loss: 0.2749	LR: 0.000800
Training Epoch: 39 [2816/46200]	Loss: 0.3228	LR: 0.000800
Training Epoch: 39 [3072/46200]	Loss: 0.2756	LR: 0.000800
Training Epoch: 39 [3328/46200]	Loss: 0.2963	LR: 0.000800
Training Epoch: 39 [3584/46200]	Loss: 0.3136	LR: 0.000800
Training Epoch: 39 [3840/46200]	Loss: 0.3264	LR: 0.000800
Training Epoch: 39 [4096/46200]	Loss: 0.2330	LR: 0.000800
Training Epoch: 39 [4352/46200]	Loss: 0.3663	LR: 0.000800
Training Epoch: 39 [4608/46200]	Loss: 0.2931	LR: 0.000800
Training Epoch: 39 [4864/46200]	Loss: 0.2792	LR: 0.000800
Training Epoch: 39 [5120/46200]	Loss: 0.2426	LR: 0.000800
Training Epoch: 39 [5376/46200]	Loss: 0.2803	LR: 0.000800
Training Epoch: 39 [5632/46200]	Loss: 0.3140	LR: 0.000800
Training Epoch: 39 [5888/46200]	Loss: 0.3028	LR: 0.000800
Training Epoch: 39 [6144/46200]	Loss: 0.3609	LR: 0.000800
Training Epoch: 39 [6400/46200]	Loss: 0.3328	LR: 0.000800
Training Epoch: 39 [6656/46200]	Loss: 0.2632	LR: 0.000800
Training Epoch: 39 [6912/46200]	Loss: 0.2879	LR: 0.000800
Training Epoch: 39 [7168/46200]	Loss: 0.2873	LR: 0.000800
Training Epoch: 39 [7424/46200]	Loss: 0.2818	LR: 0.000800
Training Epoch: 39 [7680/46200]	Loss: 0.2577	LR: 0.000800
Training Epoch: 39 [7936/46200]	Loss: 0.2689	LR: 0.000800
Training Epoch: 39 [8192/46200]	Loss: 0.2970	LR: 0.000800
Training Epoch: 39 [8448/46200]	Loss: 0.2800	LR: 0.000800
Training Epoch: 39 [8704/46200]	Loss: 0.3256	LR: 0.000800
Training Epoch: 39 [8960/46200]	Loss: 0.3931	LR: 0.000800
Training Epoch: 39 [9216/46200]	Loss: 0.2692	LR: 0.000800
Training Epoch: 39 [9472/46200]	Loss: 0.3230	LR: 0.000800
Training Epoch: 39 [9728/46200]	Loss: 0.2659	LR: 0.000800
Training Epoch: 39 [9984/46200]	Loss: 0.2879	LR: 0.000800
Training Epoch: 39 [10240/46200]	Loss: 0.2880	LR: 0.000800
Training Epoch: 39 [10496/46200]	Loss: 0.3511	LR: 0.000800
Training Epoch: 39 [10752/46200]	Loss: 0.3130	LR: 0.000800
Training Epoch: 39 [11008/46200]	Loss: 0.3544	LR: 0.000800
Training Epoch: 39 [11264/46200]	Loss: 0.2586	LR: 0.000800
Training Epoch: 39 [11520/46200]	Loss: 0.2445	LR: 0.000800
Training Epoch: 39 [11776/46200]	Loss: 0.3311	LR: 0.000800
Training Epoch: 39 [12032/46200]	Loss: 0.3465	LR: 0.000800
Training Epoch: 39 [12288/46200]	Loss: 0.3211	LR: 0.000800
Training Epoch: 39 [12544/46200]	Loss: 0.2859	LR: 0.000800
Training Epoch: 39 [12800/46200]	Loss: 0.3162	LR: 0.000800
Training Epoch: 39 [13056/46200]	Loss: 0.2267	LR: 0.000800
Training Epoch: 39 [13312/46200]	Loss: 0.2711	LR: 0.000800
Training Epoch: 39 [13568/46200]	Loss: 0.2703	LR: 0.000800
Training Epoch: 39 [13824/46200]	Loss: 0.2576	LR: 0.000800
Training Epoch: 39 [14080/46200]	Loss: 0.3062	LR: 0.000800
Training Epoch: 39 [14336/46200]	Loss: 0.2592	LR: 0.000800
Training Epoch: 39 [14592/46200]	Loss: 0.2820	LR: 0.000800
Training Epoch: 39 [14848/46200]	Loss: 0.3026	LR: 0.000800
Training Epoch: 39 [15104/46200]	Loss: 0.2842	LR: 0.000800
Training Epoch: 39 [15360/46200]	Loss: 0.2425	LR: 0.000800
Training Epoch: 39 [15616/46200]	Loss: 0.2376	LR: 0.000800
Training Epoch: 39 [15872/46200]	Loss: 0.2806	LR: 0.000800
Training Epoch: 39 [16128/46200]	Loss: 0.2973	LR: 0.000800
Training Epoch: 39 [16384/46200]	Loss: 0.2899	LR: 0.000800
Training Epoch: 39 [16640/46200]	Loss: 0.4017	LR: 0.000800
Training Epoch: 39 [16896/46200]	Loss: 0.2881	LR: 0.000800
Training Epoch: 39 [17152/46200]	Loss: 0.3644	LR: 0.000800
Training Epoch: 39 [17408/46200]	Loss: 0.2751	LR: 0.000800
Training Epoch: 39 [17664/46200]	Loss: 0.2997	LR: 0.000800
Training Epoch: 39 [17920/46200]	Loss: 0.2694	LR: 0.000800
Training Epoch: 39 [18176/46200]	Loss: 0.2920	LR: 0.000800
Training Epoch: 39 [18432/46200]	Loss: 0.3441	LR: 0.000800
Training Epoch: 39 [18688/46200]	Loss: 0.2440	LR: 0.000800
Training Epoch: 39 [18944/46200]	Loss: 0.2713	LR: 0.000800
Training Epoch: 39 [19200/46200]	Loss: 0.2613	LR: 0.000800
Training Epoch: 39 [19456/46200]	Loss: 0.2935	LR: 0.000800
Training Epoch: 39 [19712/46200]	Loss: 0.3335	LR: 0.000800
Training Epoch: 39 [19968/46200]	Loss: 0.3008	LR: 0.000800
Training Epoch: 39 [20224/46200]	Loss: 0.2608	LR: 0.000800
Training Epoch: 39 [20480/46200]	Loss: 0.3216	LR: 0.000800
Training Epoch: 39 [20736/46200]	Loss: 0.3261	LR: 0.000800
Training Epoch: 39 [20992/46200]	Loss: 0.3088	LR: 0.000800
Training Epoch: 39 [21248/46200]	Loss: 0.2812	LR: 0.000800
Training Epoch: 39 [21504/46200]	Loss: 0.2466	LR: 0.000800
Training Epoch: 39 [21760/46200]	Loss: 0.2673	LR: 0.000800
Training Epoch: 39 [22016/46200]	Loss: 0.2674	LR: 0.000800
Training Epoch: 39 [22272/46200]	Loss: 0.3600	LR: 0.000800
Training Epoch: 39 [22528/46200]	Loss: 0.2782	LR: 0.000800
Training Epoch: 39 [22784/46200]	Loss: 0.2746	LR: 0.000800
Training Epoch: 39 [23040/46200]	Loss: 0.3231	LR: 0.000800
Training Epoch: 39 [23296/46200]	Loss: 0.2929	LR: 0.000800
Training Epoch: 39 [23552/46200]	Loss: 0.2947	LR: 0.000800
Training Epoch: 39 [23808/46200]	Loss: 0.2961	LR: 0.000800
Training Epoch: 39 [24064/46200]	Loss: 0.3451	LR: 0.000800
Training Epoch: 39 [24320/46200]	Loss: 0.3160	LR: 0.000800
Training Epoch: 39 [24576/46200]	Loss: 0.2392	LR: 0.000800
Training Epoch: 39 [24832/46200]	Loss: 0.2400	LR: 0.000800
Training Epoch: 39 [25088/46200]	Loss: 0.2739	LR: 0.000800
Training Epoch: 39 [25344/46200]	Loss: 0.3006	LR: 0.000800
Training Epoch: 39 [25600/46200]	Loss: 0.2621	LR: 0.000800
Training Epoch: 39 [25856/46200]	Loss: 0.2936	LR: 0.000800
Training Epoch: 39 [26112/46200]	Loss: 0.2771	LR: 0.000800
Training Epoch: 39 [26368/46200]	Loss: 0.2931	LR: 0.000800
Training Epoch: 39 [26624/46200]	Loss: 0.2582	LR: 0.000800
Training Epoch: 39 [26880/46200]	Loss: 0.2716	LR: 0.000800
Training Epoch: 39 [27136/46200]	Loss: 0.2641	LR: 0.000800
Training Epoch: 39 [27392/46200]	Loss: 0.3228	LR: 0.000800
Training Epoch: 39 [27648/46200]	Loss: 0.3075	LR: 0.000800
Training Epoch: 39 [27904/46200]	Loss: 0.2859	LR: 0.000800
Training Epoch: 39 [28160/46200]	Loss: 0.2439	LR: 0.000800
Training Epoch: 39 [28416/46200]	Loss: 0.2811	LR: 0.000800
Training Epoch: 39 [28672/46200]	Loss: 0.3536	LR: 0.000800
Training Epoch: 39 [28928/46200]	Loss: 0.2932	LR: 0.000800
Training Epoch: 39 [29184/46200]	Loss: 0.2580	LR: 0.000800
Training Epoch: 39 [29440/46200]	Loss: 0.2358	LR: 0.000800
Training Epoch: 39 [29696/46200]	Loss: 0.3165	LR: 0.000800
Training Epoch: 39 [29952/46200]	Loss: 0.3361	LR: 0.000800
Training Epoch: 39 [30208/46200]	Loss: 0.2462	LR: 0.000800
Training Epoch: 39 [30464/46200]	Loss: 0.3129	LR: 0.000800
Training Epoch: 39 [30720/46200]	Loss: 0.3015	LR: 0.000800
Training Epoch: 39 [30976/46200]	Loss: 0.2238	LR: 0.000800
Training Epoch: 39 [31232/46200]	Loss: 0.3218	LR: 0.000800
Training Epoch: 39 [31488/46200]	Loss: 0.3046	LR: 0.000800
Training Epoch: 39 [31744/46200]	Loss: 0.2609	LR: 0.000800
Training Epoch: 39 [32000/46200]	Loss: 0.3151	LR: 0.000800
Training Epoch: 39 [32256/46200]	Loss: 0.3459	LR: 0.000800
Training Epoch: 39 [32512/46200]	Loss: 0.3868	LR: 0.000800
Training Epoch: 39 [32768/46200]	Loss: 0.2702	LR: 0.000800
Training Epoch: 39 [33024/46200]	Loss: 0.3169	LR: 0.000800
Training Epoch: 39 [33280/46200]	Loss: 0.2505	LR: 0.000800
Training Epoch: 39 [33536/46200]	Loss: 0.2915	LR: 0.000800
Training Epoch: 39 [33792/46200]	Loss: 0.2861	LR: 0.000800
Training Epoch: 39 [34048/46200]	Loss: 0.3580	LR: 0.000800
Training Epoch: 39 [34304/46200]	Loss: 0.2442	LR: 0.000800
Training Epoch: 39 [34560/46200]	Loss: 0.3161	LR: 0.000800
Training Epoch: 39 [34816/46200]	Loss: 0.3583	LR: 0.000800
Training Epoch: 39 [35072/46200]	Loss: 0.2847	LR: 0.000800
Training Epoch: 39 [35328/46200]	Loss: 0.2578	LR: 0.000800
Training Epoch: 39 [35584/46200]	Loss: 0.2900	LR: 0.000800
Training Epoch: 39 [35840/46200]	Loss: 0.3394	LR: 0.000800
Training Epoch: 39 [36096/46200]	Loss: 0.3005	LR: 0.000800
Training Epoch: 39 [36352/46200]	Loss: 0.3130	LR: 0.000800
Training Epoch: 39 [36608/46200]	Loss: 0.3036	LR: 0.000800
Training Epoch: 39 [36864/46200]	Loss: 0.2732	LR: 0.000800
Training Epoch: 39 [37120/46200]	Loss: 0.3210	LR: 0.000800
Training Epoch: 39 [37376/46200]	Loss: 0.2687	LR: 0.000800
Training Epoch: 39 [37632/46200]	Loss: 0.2650	LR: 0.000800
Training Epoch: 39 [37888/46200]	Loss: 0.3575	LR: 0.000800
Training Epoch: 39 [38144/46200]	Loss: 0.3042	LR: 0.000800
Training Epoch: 39 [38400/46200]	Loss: 0.2966	LR: 0.000800
Training Epoch: 39 [38656/46200]	Loss: 0.2558	LR: 0.000800
Training Epoch: 39 [38912/46200]	Loss: 0.2584	LR: 0.000800
Training Epoch: 39 [39168/46200]	Loss: 0.3006	LR: 0.000800
Training Epoch: 39 [39424/46200]	Loss: 0.2902	LR: 0.000800
Training Epoch: 39 [39680/46200]	Loss: 0.2725	LR: 0.000800
Training Epoch: 39 [39936/46200]	Loss: 0.3239	LR: 0.000800
Training Epoch: 39 [40192/46200]	Loss: 0.2650	LR: 0.000800
Training Epoch: 39 [40448/46200]	Loss: 0.2580	LR: 0.000800
Training Epoch: 39 [40704/46200]	Loss: 0.3120	LR: 0.000800
Training Epoch: 39 [40960/46200]	Loss: 0.3400	LR: 0.000800
Training Epoch: 39 [41216/46200]	Loss: 0.2908	LR: 0.000800
Training Epoch: 39 [41472/46200]	Loss: 0.2990	LR: 0.000800
Training Epoch: 39 [41728/46200]	Loss: 0.2574	LR: 0.000800
Training Epoch: 39 [41984/46200]	Loss: 0.2662	LR: 0.000800
Training Epoch: 39 [42240/46200]	Loss: 0.3137	LR: 0.000800
Training Epoch: 39 [42496/46200]	Loss: 0.3065	LR: 0.000800
Training Epoch: 39 [42752/46200]	Loss: 0.3305	LR: 0.000800
Training Epoch: 39 [43008/46200]	Loss: 0.3581	LR: 0.000800
Training Epoch: 39 [43264/46200]	Loss: 0.2961	LR: 0.000800
Training Epoch: 39 [43520/46200]	Loss: 0.2541	LR: 0.000800
Training Epoch: 39 [43776/46200]	Loss: 0.3402	LR: 0.000800
Training Epoch: 39 [44032/46200]	Loss: 0.2388	LR: 0.000800
Training Epoch: 39 [44288/46200]	Loss: 0.3005	LR: 0.000800
Training Epoch: 39 [44544/46200]	Loss: 0.3804	LR: 0.000800
Training Epoch: 39 [44800/46200]	Loss: 0.2459	LR: 0.000800
Training Epoch: 39 [45056/46200]	Loss: 0.3020	LR: 0.000800
Training Epoch: 39 [45312/46200]	Loss: 0.2663	LR: 0.000800
Training Epoch: 39 [45568/46200]	Loss: 0.3192	LR: 0.000800
Training Epoch: 39 [45824/46200]	Loss: 0.2468	LR: 0.000800
Training Epoch: 39 [46080/46200]	Loss: 0.2858	LR: 0.000800
Training Epoch: 39 [46200/46200]	Loss: 0.4051	LR: 0.000800
Epoch 39 - Average Train Loss: 0.2933, Train Accuracy: 0.9137
Epoch 39 training time consumed: 25.21s
Evaluating Network.....
Test set: Epoch: 39, Average loss: 0.0030, Accuracy: 0.7818, Time consumed:0.98s
Training Epoch: 40 [256/46200]	Loss: 0.2901	LR: 0.000800
Training Epoch: 40 [512/46200]	Loss: 0.2819	LR: 0.000800
Training Epoch: 40 [768/46200]	Loss: 0.3032	LR: 0.000800
Training Epoch: 40 [1024/46200]	Loss: 0.2299	LR: 0.000800
Training Epoch: 40 [1280/46200]	Loss: 0.3151	LR: 0.000800
Training Epoch: 40 [1536/46200]	Loss: 0.3469	LR: 0.000800
Training Epoch: 40 [1792/46200]	Loss: 0.2830	LR: 0.000800
Training Epoch: 40 [2048/46200]	Loss: 0.3279	LR: 0.000800
Training Epoch: 40 [2304/46200]	Loss: 0.2747	LR: 0.000800
Training Epoch: 40 [2560/46200]	Loss: 0.2924	LR: 0.000800
Training Epoch: 40 [2816/46200]	Loss: 0.3002	LR: 0.000800
Training Epoch: 40 [3072/46200]	Loss: 0.2847	LR: 0.000800
Training Epoch: 40 [3328/46200]	Loss: 0.3885	LR: 0.000800
Training Epoch: 40 [3584/46200]	Loss: 0.2892	LR: 0.000800
Training Epoch: 40 [3840/46200]	Loss: 0.2740	LR: 0.000800
Training Epoch: 40 [4096/46200]	Loss: 0.3094	LR: 0.000800
Training Epoch: 40 [4352/46200]	Loss: 0.2878	LR: 0.000800
Training Epoch: 40 [4608/46200]	Loss: 0.2845	LR: 0.000800
Training Epoch: 40 [4864/46200]	Loss: 0.2860	LR: 0.000800
Training Epoch: 40 [5120/46200]	Loss: 0.2716	LR: 0.000800
Training Epoch: 40 [5376/46200]	Loss: 0.2797	LR: 0.000800
Training Epoch: 40 [5632/46200]	Loss: 0.3800	LR: 0.000800
Training Epoch: 40 [5888/46200]	Loss: 0.3720	LR: 0.000800
Training Epoch: 40 [6144/46200]	Loss: 0.3044	LR: 0.000800
Training Epoch: 40 [6400/46200]	Loss: 0.2888	LR: 0.000800
Training Epoch: 40 [6656/46200]	Loss: 0.2382	LR: 0.000800
Training Epoch: 40 [6912/46200]	Loss: 0.2747	LR: 0.000800
Training Epoch: 40 [7168/46200]	Loss: 0.3263	LR: 0.000800
Training Epoch: 40 [7424/46200]	Loss: 0.3053	LR: 0.000800
Training Epoch: 40 [7680/46200]	Loss: 0.2938	LR: 0.000800
Training Epoch: 40 [7936/46200]	Loss: 0.3122	LR: 0.000800
Training Epoch: 40 [8192/46200]	Loss: 0.2475	LR: 0.000800
Training Epoch: 40 [8448/46200]	Loss: 0.3121	LR: 0.000800
Training Epoch: 40 [8704/46200]	Loss: 0.2582	LR: 0.000800
Training Epoch: 40 [8960/46200]	Loss: 0.2738	LR: 0.000800
Training Epoch: 40 [9216/46200]	Loss: 0.2550	LR: 0.000800
Training Epoch: 40 [9472/46200]	Loss: 0.2515	LR: 0.000800
Training Epoch: 40 [9728/46200]	Loss: 0.2980	LR: 0.000800
Training Epoch: 40 [9984/46200]	Loss: 0.2532	LR: 0.000800
Training Epoch: 40 [10240/46200]	Loss: 0.2657	LR: 0.000800
Training Epoch: 40 [10496/46200]	Loss: 0.3101	LR: 0.000800
Training Epoch: 40 [10752/46200]	Loss: 0.3146	LR: 0.000800
Training Epoch: 40 [11008/46200]	Loss: 0.2890	LR: 0.000800
Training Epoch: 40 [11264/46200]	Loss: 0.2820	LR: 0.000800
Training Epoch: 40 [11520/46200]	Loss: 0.2809	LR: 0.000800
Training Epoch: 40 [11776/46200]	Loss: 0.2567	LR: 0.000800
Training Epoch: 40 [12032/46200]	Loss: 0.3161	LR: 0.000800
Training Epoch: 40 [12288/46200]	Loss: 0.2377	LR: 0.000800
Training Epoch: 40 [12544/46200]	Loss: 0.2950	LR: 0.000800
Training Epoch: 40 [12800/46200]	Loss: 0.2698	LR: 0.000800
Training Epoch: 40 [13056/46200]	Loss: 0.2179	LR: 0.000800
Training Epoch: 40 [13312/46200]	Loss: 0.3048	LR: 0.000800
Training Epoch: 40 [13568/46200]	Loss: 0.2840	LR: 0.000800
Training Epoch: 40 [13824/46200]	Loss: 0.2625	LR: 0.000800
Training Epoch: 40 [14080/46200]	Loss: 0.2834	LR: 0.000800
Training Epoch: 40 [14336/46200]	Loss: 0.2745	LR: 0.000800
Training Epoch: 40 [14592/46200]	Loss: 0.3099	LR: 0.000800
Training Epoch: 40 [14848/46200]	Loss: 0.2509	LR: 0.000800
Training Epoch: 40 [15104/46200]	Loss: 0.3131	LR: 0.000800
Training Epoch: 40 [15360/46200]	Loss: 0.2718	LR: 0.000800
Training Epoch: 40 [15616/46200]	Loss: 0.2875	LR: 0.000800
Training Epoch: 40 [15872/46200]	Loss: 0.3131	LR: 0.000800
Training Epoch: 40 [16128/46200]	Loss: 0.2541	LR: 0.000800
Training Epoch: 40 [16384/46200]	Loss: 0.2741	LR: 0.000800
Training Epoch: 40 [16640/46200]	Loss: 0.2460	LR: 0.000800
Training Epoch: 40 [16896/46200]	Loss: 0.2949	LR: 0.000800
Training Epoch: 40 [17152/46200]	Loss: 0.3088	LR: 0.000800
Training Epoch: 40 [17408/46200]	Loss: 0.2706	LR: 0.000800
Training Epoch: 40 [17664/46200]	Loss: 0.3015	LR: 0.000800
Training Epoch: 40 [17920/46200]	Loss: 0.3036	LR: 0.000800
Training Epoch: 40 [18176/46200]	Loss: 0.3160	LR: 0.000800
Training Epoch: 40 [18432/46200]	Loss: 0.3217	LR: 0.000800
Training Epoch: 40 [18688/46200]	Loss: 0.2987	LR: 0.000800
Training Epoch: 40 [18944/46200]	Loss: 0.2887	LR: 0.000800
Training Epoch: 40 [19200/46200]	Loss: 0.2202	LR: 0.000800
Training Epoch: 40 [19456/46200]	Loss: 0.2455	LR: 0.000800
Training Epoch: 40 [19712/46200]	Loss: 0.3155	LR: 0.000800
Training Epoch: 40 [19968/46200]	Loss: 0.3561	LR: 0.000800
Training Epoch: 40 [20224/46200]	Loss: 0.3381	LR: 0.000800
Training Epoch: 40 [20480/46200]	Loss: 0.2754	LR: 0.000800
Training Epoch: 40 [20736/46200]	Loss: 0.2601	LR: 0.000800
Training Epoch: 40 [20992/46200]	Loss: 0.3207	LR: 0.000800
Training Epoch: 40 [21248/46200]	Loss: 0.3093	LR: 0.000800
Training Epoch: 40 [21504/46200]	Loss: 0.2847	LR: 0.000800
Training Epoch: 40 [21760/46200]	Loss: 0.2459	LR: 0.000800
Training Epoch: 40 [22016/46200]	Loss: 0.2754	LR: 0.000800
Training Epoch: 40 [22272/46200]	Loss: 0.3009	LR: 0.000800
Training Epoch: 40 [22528/46200]	Loss: 0.2540	LR: 0.000800
Training Epoch: 40 [22784/46200]	Loss: 0.2434	LR: 0.000800
Training Epoch: 40 [23040/46200]	Loss: 0.3047	LR: 0.000800
Training Epoch: 40 [23296/46200]	Loss: 0.2608	LR: 0.000800
Training Epoch: 40 [23552/46200]	Loss: 0.2563	LR: 0.000800
Training Epoch: 40 [23808/46200]	Loss: 0.2443	LR: 0.000800
Training Epoch: 40 [24064/46200]	Loss: 0.3186	LR: 0.000800
Training Epoch: 40 [24320/46200]	Loss: 0.2485	LR: 0.000800
Training Epoch: 40 [24576/46200]	Loss: 0.3209	LR: 0.000800
Training Epoch: 40 [24832/46200]	Loss: 0.2569	LR: 0.000800
Training Epoch: 40 [25088/46200]	Loss: 0.2932	LR: 0.000800
Training Epoch: 40 [25344/46200]	Loss: 0.3173	LR: 0.000800
Training Epoch: 40 [25600/46200]	Loss: 0.2697	LR: 0.000800
Training Epoch: 40 [25856/46200]	Loss: 0.2925	LR: 0.000800
Training Epoch: 40 [26112/46200]	Loss: 0.3523	LR: 0.000800
Training Epoch: 40 [26368/46200]	Loss: 0.2703	LR: 0.000800
Training Epoch: 40 [26624/46200]	Loss: 0.3358	LR: 0.000800
Training Epoch: 40 [26880/46200]	Loss: 0.2728	LR: 0.000800
Training Epoch: 40 [27136/46200]	Loss: 0.2225	LR: 0.000800
Training Epoch: 40 [27392/46200]	Loss: 0.2766	LR: 0.000800
Training Epoch: 40 [27648/46200]	Loss: 0.3399	LR: 0.000800
Training Epoch: 40 [27904/46200]	Loss: 0.3265	LR: 0.000800
Training Epoch: 40 [28160/46200]	Loss: 0.3893	LR: 0.000800
Training Epoch: 40 [28416/46200]	Loss: 0.2077	LR: 0.000800
Training Epoch: 40 [28672/46200]	Loss: 0.3118	LR: 0.000800
Training Epoch: 40 [28928/46200]	Loss: 0.2710	LR: 0.000800
Training Epoch: 40 [29184/46200]	Loss: 0.2487	LR: 0.000800
Training Epoch: 40 [29440/46200]	Loss: 0.2772	LR: 0.000800
Training Epoch: 40 [29696/46200]	Loss: 0.3331	LR: 0.000800
Training Epoch: 40 [29952/46200]	Loss: 0.3370	LR: 0.000800
Training Epoch: 40 [30208/46200]	Loss: 0.2449	LR: 0.000800
Training Epoch: 40 [30464/46200]	Loss: 0.2312	LR: 0.000800
Training Epoch: 40 [30720/46200]	Loss: 0.2488	LR: 0.000800
Training Epoch: 40 [30976/46200]	Loss: 0.2999	LR: 0.000800
Training Epoch: 40 [31232/46200]	Loss: 0.2279	LR: 0.000800
Training Epoch: 40 [31488/46200]	Loss: 0.2931	LR: 0.000800
Training Epoch: 40 [31744/46200]	Loss: 0.3017	LR: 0.000800
Training Epoch: 40 [32000/46200]	Loss: 0.2667	LR: 0.000800
Training Epoch: 40 [32256/46200]	Loss: 0.3022	LR: 0.000800
Training Epoch: 40 [32512/46200]	Loss: 0.3211	LR: 0.000800
Training Epoch: 40 [32768/46200]	Loss: 0.2878	LR: 0.000800
Training Epoch: 40 [33024/46200]	Loss: 0.2794	LR: 0.000800
Training Epoch: 40 [33280/46200]	Loss: 0.3598	LR: 0.000800
Training Epoch: 40 [33536/46200]	Loss: 0.2621	LR: 0.000800
Training Epoch: 40 [33792/46200]	Loss: 0.2445	LR: 0.000800
Training Epoch: 40 [34048/46200]	Loss: 0.3055	LR: 0.000800
Training Epoch: 40 [34304/46200]	Loss: 0.3487	LR: 0.000800
Training Epoch: 40 [34560/46200]	Loss: 0.2529	LR: 0.000800
Training Epoch: 40 [34816/46200]	Loss: 0.3042	LR: 0.000800
Training Epoch: 40 [35072/46200]	Loss: 0.2355	LR: 0.000800
Training Epoch: 40 [35328/46200]	Loss: 0.2719	LR: 0.000800
Training Epoch: 40 [35584/46200]	Loss: 0.3049	LR: 0.000800
Training Epoch: 40 [35840/46200]	Loss: 0.2782	LR: 0.000800
Training Epoch: 40 [36096/46200]	Loss: 0.2685	LR: 0.000800
Training Epoch: 40 [36352/46200]	Loss: 0.3077	LR: 0.000800
Training Epoch: 40 [36608/46200]	Loss: 0.2850	LR: 0.000800
Training Epoch: 40 [36864/46200]	Loss: 0.2683	LR: 0.000800
Training Epoch: 40 [37120/46200]	Loss: 0.3441	LR: 0.000800
Training Epoch: 40 [37376/46200]	Loss: 0.3010	LR: 0.000800
Training Epoch: 40 [37632/46200]	Loss: 0.3014	LR: 0.000800
Training Epoch: 40 [37888/46200]	Loss: 0.3110	LR: 0.000800
Training Epoch: 40 [38144/46200]	Loss: 0.2655	LR: 0.000800
Training Epoch: 40 [38400/46200]	Loss: 0.3065	LR: 0.000800
Training Epoch: 40 [38656/46200]	Loss: 0.3032	LR: 0.000800
Training Epoch: 40 [38912/46200]	Loss: 0.3142	LR: 0.000800
Training Epoch: 40 [39168/46200]	Loss: 0.3431	LR: 0.000800
Training Epoch: 40 [39424/46200]	Loss: 0.2499	LR: 0.000800
Training Epoch: 40 [39680/46200]	Loss: 0.2661	LR: 0.000800
Training Epoch: 40 [39936/46200]	Loss: 0.3185	LR: 0.000800
Training Epoch: 40 [40192/46200]	Loss: 0.2574	LR: 0.000800
Training Epoch: 40 [40448/46200]	Loss: 0.2633	LR: 0.000800
Training Epoch: 40 [40704/46200]	Loss: 0.3143	LR: 0.000800
Training Epoch: 40 [40960/46200]	Loss: 0.3009	LR: 0.000800
Training Epoch: 40 [41216/46200]	Loss: 0.1999	LR: 0.000800
Training Epoch: 40 [41472/46200]	Loss: 0.3035	LR: 0.000800
Training Epoch: 40 [41728/46200]	Loss: 0.3555	LR: 0.000800
Training Epoch: 40 [41984/46200]	Loss: 0.2723	LR: 0.000800
Training Epoch: 40 [42240/46200]	Loss: 0.3745	LR: 0.000800
Training Epoch: 40 [42496/46200]	Loss: 0.2821	LR: 0.000800
Training Epoch: 40 [42752/46200]	Loss: 0.2745	LR: 0.000800
Training Epoch: 40 [43008/46200]	Loss: 0.3352	LR: 0.000800
Training Epoch: 40 [43264/46200]	Loss: 0.2193	LR: 0.000800
Training Epoch: 40 [43520/46200]	Loss: 0.3688	LR: 0.000800
Training Epoch: 40 [43776/46200]	Loss: 0.2862	LR: 0.000800
Training Epoch: 40 [44032/46200]	Loss: 0.2540	LR: 0.000800
Training Epoch: 40 [44288/46200]	Loss: 0.3109	LR: 0.000800
Training Epoch: 40 [44544/46200]	Loss: 0.2468	LR: 0.000800
Training Epoch: 40 [44800/46200]	Loss: 0.3705	LR: 0.000800
Training Epoch: 40 [45056/46200]	Loss: 0.3447	LR: 0.000800
Training Epoch: 40 [45312/46200]	Loss: 0.3092	LR: 0.000800
Training Epoch: 40 [45568/46200]	Loss: 0.2591	LR: 0.000800
Training Epoch: 40 [45824/46200]	Loss: 0.3277	LR: 0.000800
Training Epoch: 40 [46080/46200]	Loss: 0.2765	LR: 0.000800
Training Epoch: 40 [46200/46200]	Loss: 0.3419	LR: 0.000800
Epoch 40 - Average Train Loss: 0.2899, Train Accuracy: 0.9135
Epoch 40 training time consumed: 25.19s
Evaluating Network.....
Test set: Epoch: 40, Average loss: 0.0030, Accuracy: 0.7809, Time consumed:0.89s
Valid (Test) Dl:  10000
Train Dl:  50000
Retain Train Dl:  46200
Forget Train Dl:  3800
Retain Valid Dl:  46200
Forget Valid Dl:  3800
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 3800 samples
Set1 Distribution: 3800 samples
Set2 Distribution: 3800 samples
Set1 Distribution: 3800 samples
Set2 Distribution: 3800 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Test Accuracy: 78.017578125
Retain Accuracy: 92.1867904663086
Zero-Retain Forget (ZRF): 0.9158852100372314
Membership Inference Attack (MIA): 0.44921052631578945
Forget vs Retain Membership Inference Attack (MIA): 0.5434210526315789
Forget vs Test Membership Inference Attack (MIA): 0.5401315789473684
Test vs Retain Membership Inference Attack (MIA): 0.4885
Train vs Test Membership Inference Attack (MIA): 0.56325
Forget Set Accuracy (Df): 77.65914916992188
Method Execution Time: 1536.84 seconds
