
📌 S Retain class distribution for seed 2:
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 2:
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: 2.9990	LR: 0.000000
Training Epoch: 1 [512/46200]	Loss: 3.0299	LR: 0.000552
Training Epoch: 1 [768/46200]	Loss: 3.0169	LR: 0.001105
Training Epoch: 1 [1024/46200]	Loss: 3.0522	LR: 0.001657
Training Epoch: 1 [1280/46200]	Loss: 3.0191	LR: 0.002210
Training Epoch: 1 [1536/46200]	Loss: 2.9999	LR: 0.002762
Training Epoch: 1 [1792/46200]	Loss: 3.0083	LR: 0.003315
Training Epoch: 1 [2048/46200]	Loss: 3.0112	LR: 0.003867
Training Epoch: 1 [2304/46200]	Loss: 2.9772	LR: 0.004420
Training Epoch: 1 [2560/46200]	Loss: 2.9721	LR: 0.004972
Training Epoch: 1 [2816/46200]	Loss: 2.9786	LR: 0.005525
Training Epoch: 1 [3072/46200]	Loss: 2.9411	LR: 0.006077
Training Epoch: 1 [3328/46200]	Loss: 2.9327	LR: 0.006630
Training Epoch: 1 [3584/46200]	Loss: 2.9241	LR: 0.007182
Training Epoch: 1 [3840/46200]	Loss: 2.8775	LR: 0.007735
Training Epoch: 1 [4096/46200]	Loss: 2.8941	LR: 0.008287
Training Epoch: 1 [4352/46200]	Loss: 2.8487	LR: 0.008840
Training Epoch: 1 [4608/46200]	Loss: 2.8479	LR: 0.009392
Training Epoch: 1 [4864/46200]	Loss: 2.8342	LR: 0.009945
Training Epoch: 1 [5120/46200]	Loss: 2.8088	LR: 0.010497
Training Epoch: 1 [5376/46200]	Loss: 2.8390	LR: 0.011050
Training Epoch: 1 [5632/46200]	Loss: 2.7583	LR: 0.011602
Training Epoch: 1 [5888/46200]	Loss: 2.7505	LR: 0.012155
Training Epoch: 1 [6144/46200]	Loss: 2.7726	LR: 0.012707
Training Epoch: 1 [6400/46200]	Loss: 2.7886	LR: 0.013260
Training Epoch: 1 [6656/46200]	Loss: 2.7790	LR: 0.013812
Training Epoch: 1 [6912/46200]	Loss: 2.7518	LR: 0.014365
Training Epoch: 1 [7168/46200]	Loss: 2.7176	LR: 0.014917
Training Epoch: 1 [7424/46200]	Loss: 2.6774	LR: 0.015470
Training Epoch: 1 [7680/46200]	Loss: 2.6999	LR: 0.016022
Training Epoch: 1 [7936/46200]	Loss: 2.6659	LR: 0.016575
Training Epoch: 1 [8192/46200]	Loss: 2.6323	LR: 0.017127
Training Epoch: 1 [8448/46200]	Loss: 2.5985	LR: 0.017680
Training Epoch: 1 [8704/46200]	Loss: 2.6864	LR: 0.018232
Training Epoch: 1 [8960/46200]	Loss: 2.7136	LR: 0.018785
Training Epoch: 1 [9216/46200]	Loss: 2.6058	LR: 0.019337
Training Epoch: 1 [9472/46200]	Loss: 2.6056	LR: 0.019890
Training Epoch: 1 [9728/46200]	Loss: 2.6658	LR: 0.020442
Training Epoch: 1 [9984/46200]	Loss: 2.5959	LR: 0.020994
Training Epoch: 1 [10240/46200]	Loss: 2.6744	LR: 0.021547
Training Epoch: 1 [10496/46200]	Loss: 2.6297	LR: 0.022099
Training Epoch: 1 [10752/46200]	Loss: 2.6463	LR: 0.022652
Training Epoch: 1 [11008/46200]	Loss: 2.6270	LR: 0.023204
Training Epoch: 1 [11264/46200]	Loss: 2.6424	LR: 0.023757
Training Epoch: 1 [11520/46200]	Loss: 2.6479	LR: 0.024309
Training Epoch: 1 [11776/46200]	Loss: 2.5774	LR: 0.024862
Training Epoch: 1 [12032/46200]	Loss: 2.6288	LR: 0.025414
Training Epoch: 1 [12288/46200]	Loss: 2.6049	LR: 0.025967
Training Epoch: 1 [12544/46200]	Loss: 2.6028	LR: 0.026519
Training Epoch: 1 [12800/46200]	Loss: 2.6120	LR: 0.027072
Training Epoch: 1 [13056/46200]	Loss: 2.5092	LR: 0.027624
Training Epoch: 1 [13312/46200]	Loss: 2.5925	LR: 0.028177
Training Epoch: 1 [13568/46200]	Loss: 2.4529	LR: 0.028729
Training Epoch: 1 [13824/46200]	Loss: 2.4468	LR: 0.029282
Training Epoch: 1 [14080/46200]	Loss: 2.5005	LR: 0.029834
Training Epoch: 1 [14336/46200]	Loss: 2.5324	LR: 0.030387
Training Epoch: 1 [14592/46200]	Loss: 2.5243	LR: 0.030939
Training Epoch: 1 [14848/46200]	Loss: 2.6221	LR: 0.031492
Training Epoch: 1 [15104/46200]	Loss: 2.5041	LR: 0.032044
Training Epoch: 1 [15360/46200]	Loss: 2.5061	LR: 0.032597
Training Epoch: 1 [15616/46200]	Loss: 2.5190	LR: 0.033149
Training Epoch: 1 [15872/46200]	Loss: 2.5501	LR: 0.033702
Training Epoch: 1 [16128/46200]	Loss: 2.5990	LR: 0.034254
Training Epoch: 1 [16384/46200]	Loss: 2.5322	LR: 0.034807
Training Epoch: 1 [16640/46200]	Loss: 2.5714	LR: 0.035359
Training Epoch: 1 [16896/46200]	Loss: 2.5026	LR: 0.035912
Training Epoch: 1 [17152/46200]	Loss: 2.5386	LR: 0.036464
Training Epoch: 1 [17408/46200]	Loss: 2.5051	LR: 0.037017
Training Epoch: 1 [17664/46200]	Loss: 2.5164	LR: 0.037569
Training Epoch: 1 [17920/46200]	Loss: 2.5429	LR: 0.038122
Training Epoch: 1 [18176/46200]	Loss: 2.4434	LR: 0.038674
Training Epoch: 1 [18432/46200]	Loss: 2.5674	LR: 0.039227
Training Epoch: 1 [18688/46200]	Loss: 2.4969	LR: 0.039779
Training Epoch: 1 [18944/46200]	Loss: 2.4664	LR: 0.040331
Training Epoch: 1 [19200/46200]	Loss: 2.4604	LR: 0.040884
Training Epoch: 1 [19456/46200]	Loss: 2.4006	LR: 0.041436
Training Epoch: 1 [19712/46200]	Loss: 2.4739	LR: 0.041989
Training Epoch: 1 [19968/46200]	Loss: 2.4873	LR: 0.042541
Training Epoch: 1 [20224/46200]	Loss: 2.4484	LR: 0.043094
Training Epoch: 1 [20480/46200]	Loss: 2.4337	LR: 0.043646
Training Epoch: 1 [20736/46200]	Loss: 2.4430	LR: 0.044199
Training Epoch: 1 [20992/46200]	Loss: 2.4205	LR: 0.044751
Training Epoch: 1 [21248/46200]	Loss: 2.4682	LR: 0.045304
Training Epoch: 1 [21504/46200]	Loss: 2.3242	LR: 0.045856
Training Epoch: 1 [21760/46200]	Loss: 2.3295	LR: 0.046409
Training Epoch: 1 [22016/46200]	Loss: 2.4927	LR: 0.046961
Training Epoch: 1 [22272/46200]	Loss: 2.5381	LR: 0.047514
Training Epoch: 1 [22528/46200]	Loss: 2.5277	LR: 0.048066
Training Epoch: 1 [22784/46200]	Loss: 2.3627	LR: 0.048619
Training Epoch: 1 [23040/46200]	Loss: 2.5574	LR: 0.049171
Training Epoch: 1 [23296/46200]	Loss: 2.3511	LR: 0.049724
Training Epoch: 1 [23552/46200]	Loss: 2.4170	LR: 0.050276
Training Epoch: 1 [23808/46200]	Loss: 2.4215	LR: 0.050829
Training Epoch: 1 [24064/46200]	Loss: 2.3731	LR: 0.051381
Training Epoch: 1 [24320/46200]	Loss: 2.4175	LR: 0.051934
Training Epoch: 1 [24576/46200]	Loss: 2.3739	LR: 0.052486
Training Epoch: 1 [24832/46200]	Loss: 2.3253	LR: 0.053039
Training Epoch: 1 [25088/46200]	Loss: 2.5118	LR: 0.053591
Training Epoch: 1 [25344/46200]	Loss: 2.4782	LR: 0.054144
Training Epoch: 1 [25600/46200]	Loss: 2.3481	LR: 0.054696
Training Epoch: 1 [25856/46200]	Loss: 2.5088	LR: 0.055249
Training Epoch: 1 [26112/46200]	Loss: 2.4280	LR: 0.055801
Training Epoch: 1 [26368/46200]	Loss: 2.4615	LR: 0.056354
Training Epoch: 1 [26624/46200]	Loss: 2.2867	LR: 0.056906
Training Epoch: 1 [26880/46200]	Loss: 2.3916	LR: 0.057459
Training Epoch: 1 [27136/46200]	Loss: 2.4220	LR: 0.058011
Training Epoch: 1 [27392/46200]	Loss: 2.2960	LR: 0.058564
Training Epoch: 1 [27648/46200]	Loss: 2.3520	LR: 0.059116
Training Epoch: 1 [27904/46200]	Loss: 2.4804	LR: 0.059669
Training Epoch: 1 [28160/46200]	Loss: 2.4710	LR: 0.060221
Training Epoch: 1 [28416/46200]	Loss: 2.2175	LR: 0.060773
Training Epoch: 1 [28672/46200]	Loss: 2.4732	LR: 0.061326
Training Epoch: 1 [28928/46200]	Loss: 2.3490	LR: 0.061878
Training Epoch: 1 [29184/46200]	Loss: 2.5244	LR: 0.062431
Training Epoch: 1 [29440/46200]	Loss: 2.3246	LR: 0.062983
Training Epoch: 1 [29696/46200]	Loss: 2.4916	LR: 0.063536
Training Epoch: 1 [29952/46200]	Loss: 2.4320	LR: 0.064088
Training Epoch: 1 [30208/46200]	Loss: 2.3672	LR: 0.064641
Training Epoch: 1 [30464/46200]	Loss: 2.3713	LR: 0.065193
Training Epoch: 1 [30720/46200]	Loss: 2.3652	LR: 0.065746
Training Epoch: 1 [30976/46200]	Loss: 2.3914	LR: 0.066298
Training Epoch: 1 [31232/46200]	Loss: 2.4745	LR: 0.066851
Training Epoch: 1 [31488/46200]	Loss: 2.4277	LR: 0.067403
Training Epoch: 1 [31744/46200]	Loss: 2.4020	LR: 0.067956
Training Epoch: 1 [32000/46200]	Loss: 2.4186	LR: 0.068508
Training Epoch: 1 [32256/46200]	Loss: 2.4317	LR: 0.069061
Training Epoch: 1 [32512/46200]	Loss: 2.4587	LR: 0.069613
Training Epoch: 1 [32768/46200]	Loss: 2.4538	LR: 0.070166
Training Epoch: 1 [33024/46200]	Loss: 2.5268	LR: 0.070718
Training Epoch: 1 [33280/46200]	Loss: 2.4883	LR: 0.071271
Training Epoch: 1 [33536/46200]	Loss: 2.5361	LR: 0.071823
Training Epoch: 1 [33792/46200]	Loss: 2.4526	LR: 0.072376
Training Epoch: 1 [34048/46200]	Loss: 2.3919	LR: 0.072928
Training Epoch: 1 [34304/46200]	Loss: 2.2708	LR: 0.073481
Training Epoch: 1 [34560/46200]	Loss: 2.3523	LR: 0.074033
Training Epoch: 1 [34816/46200]	Loss: 2.3933	LR: 0.074586
Training Epoch: 1 [35072/46200]	Loss: 2.4198	LR: 0.075138
Training Epoch: 1 [35328/46200]	Loss: 2.4264	LR: 0.075691
Training Epoch: 1 [35584/46200]	Loss: 2.4716	LR: 0.076243
Training Epoch: 1 [35840/46200]	Loss: 2.4340	LR: 0.076796
Training Epoch: 1 [36096/46200]	Loss: 2.3034	LR: 0.077348
Training Epoch: 1 [36352/46200]	Loss: 2.3371	LR: 0.077901
Training Epoch: 1 [36608/46200]	Loss: 2.4804	LR: 0.078453
Training Epoch: 1 [36864/46200]	Loss: 2.3693	LR: 0.079006
Training Epoch: 1 [37120/46200]	Loss: 2.4183	LR: 0.079558
Training Epoch: 1 [37376/46200]	Loss: 2.4183	LR: 0.080110
Training Epoch: 1 [37632/46200]	Loss: 2.4097	LR: 0.080663
Training Epoch: 1 [37888/46200]	Loss: 2.3642	LR: 0.081215
Training Epoch: 1 [38144/46200]	Loss: 2.2501	LR: 0.081768
Training Epoch: 1 [38400/46200]	Loss: 2.3764	LR: 0.082320
Training Epoch: 1 [38656/46200]	Loss: 2.4001	LR: 0.082873
Training Epoch: 1 [38912/46200]	Loss: 2.4203	LR: 0.083425
Training Epoch: 1 [39168/46200]	Loss: 2.3729	LR: 0.083978
Training Epoch: 1 [39424/46200]	Loss: 2.2671	LR: 0.084530
Training Epoch: 1 [39680/46200]	Loss: 2.3164	LR: 0.085083
Training Epoch: 1 [39936/46200]	Loss: 2.3330	LR: 0.085635
Training Epoch: 1 [40192/46200]	Loss: 2.4813	LR: 0.086188
Training Epoch: 1 [40448/46200]	Loss: 2.2500	LR: 0.086740
Training Epoch: 1 [40704/46200]	Loss: 2.3482	LR: 0.087293
Training Epoch: 1 [40960/46200]	Loss: 2.4171	LR: 0.087845
Training Epoch: 1 [41216/46200]	Loss: 2.3315	LR: 0.088398
Training Epoch: 1 [41472/46200]	Loss: 2.2619	LR: 0.088950
Training Epoch: 1 [41728/46200]	Loss: 2.4324	LR: 0.089503
Training Epoch: 1 [41984/46200]	Loss: 2.1504	LR: 0.090055
Training Epoch: 1 [42240/46200]	Loss: 2.2447	LR: 0.090608
Training Epoch: 1 [42496/46200]	Loss: 2.4487	LR: 0.091160
Training Epoch: 1 [42752/46200]	Loss: 2.4447	LR: 0.091713
Training Epoch: 1 [43008/46200]	Loss: 2.2194	LR: 0.092265
Training Epoch: 1 [43264/46200]	Loss: 2.2728	LR: 0.092818
Training Epoch: 1 [43520/46200]	Loss: 2.4358	LR: 0.093370
Training Epoch: 1 [43776/46200]	Loss: 2.3859	LR: 0.093923
Training Epoch: 1 [44032/46200]	Loss: 2.2961	LR: 0.094475
Training Epoch: 1 [44288/46200]	Loss: 2.3170	LR: 0.095028
Training Epoch: 1 [44544/46200]	Loss: 2.3274	LR: 0.095580
Training Epoch: 1 [44800/46200]	Loss: 2.3401	LR: 0.096133
Training Epoch: 1 [45056/46200]	Loss: 2.3447	LR: 0.096685
Training Epoch: 1 [45312/46200]	Loss: 2.2403	LR: 0.097238
Training Epoch: 1 [45568/46200]	Loss: 2.2869	LR: 0.097790
Training Epoch: 1 [45824/46200]	Loss: 2.1884	LR: 0.098343
Training Epoch: 1 [46080/46200]	Loss: 2.2380	LR: 0.098895
Training Epoch: 1 [46200/46200]	Loss: 2.1873	LR: 0.099448
Epoch 1 - Average Train Loss: 2.5162, Train Accuracy: 0.2220
Epoch 1 training time consumed: 25.87s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0098, Accuracy: 0.2632, Time consumed:1.05s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_09h_04m_02s/AllCNN-Cifar20-seed2-ret25-1-best.pth
Training Epoch: 2 [256/46200]	Loss: 2.2887	LR: 0.100000
Training Epoch: 2 [512/46200]	Loss: 2.3017	LR: 0.100000
Training Epoch: 2 [768/46200]	Loss: 2.2384	LR: 0.100000
Training Epoch: 2 [1024/46200]	Loss: 2.2976	LR: 0.100000
Training Epoch: 2 [1280/46200]	Loss: 2.3091	LR: 0.100000
Training Epoch: 2 [1536/46200]	Loss: 2.1389	LR: 0.100000
Training Epoch: 2 [1792/46200]	Loss: 2.1723	LR: 0.100000
Training Epoch: 2 [2048/46200]	Loss: 2.2866	LR: 0.100000
Training Epoch: 2 [2304/46200]	Loss: 2.2527	LR: 0.100000
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Epoch 2 - Average Train Loss: 2.1630, Train Accuracy: 0.3228
Epoch 2 training time consumed: 25.08s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0088, Accuracy: 0.3313, Time consumed:0.86s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_09h_04m_02s/AllCNN-Cifar20-seed2-ret25-2-best.pth
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Training Epoch: 3 [46200/46200]	Loss: 1.8526	LR: 0.100000
Epoch 3 - Average Train Loss: 1.9324, Train Accuracy: 0.3932
Epoch 3 training time consumed: 25.12s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0090, Accuracy: 0.3299, Time consumed:0.86s
Training Epoch: 4 [256/46200]	Loss: 1.8097	LR: 0.100000
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Training Epoch: 4 [46200/46200]	Loss: 1.5670	LR: 0.100000
Epoch 4 - Average Train Loss: 1.7537, Train Accuracy: 0.4473
Epoch 4 training time consumed: 25.04s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0071, Accuracy: 0.4464, Time consumed:0.89s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_09h_04m_02s/AllCNN-Cifar20-seed2-ret25-4-best.pth
Training Epoch: 5 [256/46200]	Loss: 1.6996	LR: 0.100000
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Epoch 5 - Average Train Loss: 1.6159, Train Accuracy: 0.4883
Epoch 5 training time consumed: 25.06s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0064, Accuracy: 0.5003, Time consumed:0.90s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_09h_04m_02s/AllCNN-Cifar20-seed2-ret25-5-best.pth
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Training Epoch: 6 [43776/46200]	Loss: 1.4028	LR: 0.100000
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Training Epoch: 6 [46080/46200]	Loss: 1.4283	LR: 0.100000
Training Epoch: 6 [46200/46200]	Loss: 1.5538	LR: 0.100000
Epoch 6 - Average Train Loss: 1.4812, Train Accuracy: 0.5287
Epoch 6 training time consumed: 25.15s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0068, Accuracy: 0.4785, Time consumed:0.94s
Training Epoch: 7 [256/46200]	Loss: 1.4247	LR: 0.100000
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Training Epoch: 7 [46200/46200]	Loss: 1.3357	LR: 0.100000
Epoch 7 - Average Train Loss: 1.3736, Train Accuracy: 0.5620
Epoch 7 training time consumed: 25.11s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0061, Accuracy: 0.5360, Time consumed:0.94s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_09h_04m_02s/AllCNN-Cifar20-seed2-ret25-7-best.pth
Training Epoch: 8 [256/46200]	Loss: 1.2511	LR: 0.100000
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Training Epoch: 8 [26880/46200]	Loss: 1.3181	LR: 0.100000
Training Epoch: 8 [27136/46200]	Loss: 1.2294	LR: 0.100000
Training Epoch: 8 [27392/46200]	Loss: 1.3160	LR: 0.100000
Training Epoch: 8 [27648/46200]	Loss: 1.2944	LR: 0.100000
Training Epoch: 8 [27904/46200]	Loss: 1.1668	LR: 0.100000
Training Epoch: 8 [28160/46200]	Loss: 1.3659	LR: 0.100000
Training Epoch: 8 [28416/46200]	Loss: 1.2616	LR: 0.100000
Training Epoch: 8 [28672/46200]	Loss: 1.3766	LR: 0.100000
Training Epoch: 8 [28928/46200]	Loss: 1.2206	LR: 0.100000
Training Epoch: 8 [29184/46200]	Loss: 1.4431	LR: 0.100000
Training Epoch: 8 [29440/46200]	Loss: 1.3042	LR: 0.100000
Training Epoch: 8 [29696/46200]	Loss: 1.4770	LR: 0.100000
Training Epoch: 8 [29952/46200]	Loss: 1.4392	LR: 0.100000
Training Epoch: 8 [30208/46200]	Loss: 1.3607	LR: 0.100000
Training Epoch: 8 [30464/46200]	Loss: 1.4274	LR: 0.100000
Training Epoch: 8 [30720/46200]	Loss: 1.2473	LR: 0.100000
Training Epoch: 8 [30976/46200]	Loss: 1.2134	LR: 0.100000
Training Epoch: 8 [31232/46200]	Loss: 1.2884	LR: 0.100000
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Training Epoch: 8 [37120/46200]	Loss: 1.1687	LR: 0.100000
Training Epoch: 8 [37376/46200]	Loss: 1.2753	LR: 0.100000
Training Epoch: 8 [37632/46200]	Loss: 1.3159	LR: 0.100000
Training Epoch: 8 [37888/46200]	Loss: 1.3062	LR: 0.100000
Training Epoch: 8 [38144/46200]	Loss: 1.2564	LR: 0.100000
Training Epoch: 8 [38400/46200]	Loss: 1.1790	LR: 0.100000
Training Epoch: 8 [38656/46200]	Loss: 1.1098	LR: 0.100000
Training Epoch: 8 [38912/46200]	Loss: 1.3134	LR: 0.100000
Training Epoch: 8 [39168/46200]	Loss: 1.0839	LR: 0.100000
Training Epoch: 8 [39424/46200]	Loss: 1.3780	LR: 0.100000
Training Epoch: 8 [39680/46200]	Loss: 1.3145	LR: 0.100000
Training Epoch: 8 [39936/46200]	Loss: 1.1676	LR: 0.100000
Training Epoch: 8 [40192/46200]	Loss: 1.2753	LR: 0.100000
Training Epoch: 8 [40448/46200]	Loss: 1.2418	LR: 0.100000
Training Epoch: 8 [40704/46200]	Loss: 1.1916	LR: 0.100000
Training Epoch: 8 [40960/46200]	Loss: 1.3078	LR: 0.100000
Training Epoch: 8 [41216/46200]	Loss: 1.3822	LR: 0.100000
Training Epoch: 8 [41472/46200]	Loss: 1.3211	LR: 0.100000
Training Epoch: 8 [41728/46200]	Loss: 1.1693	LR: 0.100000
Training Epoch: 8 [41984/46200]	Loss: 1.2546	LR: 0.100000
Training Epoch: 8 [42240/46200]	Loss: 1.3546	LR: 0.100000
Training Epoch: 8 [42496/46200]	Loss: 1.4241	LR: 0.100000
Training Epoch: 8 [42752/46200]	Loss: 1.2999	LR: 0.100000
Training Epoch: 8 [43008/46200]	Loss: 1.3097	LR: 0.100000
Training Epoch: 8 [43264/46200]	Loss: 1.2017	LR: 0.100000
Training Epoch: 8 [43520/46200]	Loss: 1.2460	LR: 0.100000
Training Epoch: 8 [43776/46200]	Loss: 1.3292	LR: 0.100000
Training Epoch: 8 [44032/46200]	Loss: 1.2964	LR: 0.100000
Training Epoch: 8 [44288/46200]	Loss: 1.3146	LR: 0.100000
Training Epoch: 8 [44544/46200]	Loss: 1.2310	LR: 0.100000
Training Epoch: 8 [44800/46200]	Loss: 1.3518	LR: 0.100000
Training Epoch: 8 [45056/46200]	Loss: 1.2524	LR: 0.100000
Training Epoch: 8 [45312/46200]	Loss: 1.2304	LR: 0.100000
Training Epoch: 8 [45568/46200]	Loss: 1.2042	LR: 0.100000
Training Epoch: 8 [45824/46200]	Loss: 1.3811	LR: 0.100000
Training Epoch: 8 [46080/46200]	Loss: 1.1564	LR: 0.100000
Training Epoch: 8 [46200/46200]	Loss: 1.3990	LR: 0.100000
Epoch 8 - Average Train Loss: 1.2825, Train Accuracy: 0.5903
Epoch 8 training time consumed: 25.11s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0065, Accuracy: 0.5324, Time consumed:0.88s
Training Epoch: 9 [256/46200]	Loss: 1.3440	LR: 0.100000
Training Epoch: 9 [512/46200]	Loss: 1.2761	LR: 0.100000
Training Epoch: 9 [768/46200]	Loss: 1.2976	LR: 0.100000
Training Epoch: 9 [1024/46200]	Loss: 1.1986	LR: 0.100000
Training Epoch: 9 [1280/46200]	Loss: 1.1990	LR: 0.100000
Training Epoch: 9 [1536/46200]	Loss: 1.4704	LR: 0.100000
Training Epoch: 9 [1792/46200]	Loss: 1.2975	LR: 0.100000
Training Epoch: 9 [2048/46200]	Loss: 1.2405	LR: 0.100000
Training Epoch: 9 [2304/46200]	Loss: 1.3876	LR: 0.100000
Training Epoch: 9 [2560/46200]	Loss: 1.2603	LR: 0.100000
Training Epoch: 9 [2816/46200]	Loss: 1.4184	LR: 0.100000
Training Epoch: 9 [3072/46200]	Loss: 1.1728	LR: 0.100000
Training Epoch: 9 [3328/46200]	Loss: 1.3264	LR: 0.100000
Training Epoch: 9 [3584/46200]	Loss: 1.2511	LR: 0.100000
Training Epoch: 9 [3840/46200]	Loss: 1.2397	LR: 0.100000
Training Epoch: 9 [4096/46200]	Loss: 1.1835	LR: 0.100000
Training Epoch: 9 [4352/46200]	Loss: 1.0276	LR: 0.100000
Training Epoch: 9 [4608/46200]	Loss: 1.2552	LR: 0.100000
Training Epoch: 9 [4864/46200]	Loss: 1.3298	LR: 0.100000
Training Epoch: 9 [5120/46200]	Loss: 1.2742	LR: 0.100000
Training Epoch: 9 [5376/46200]	Loss: 1.2235	LR: 0.100000
Training Epoch: 9 [5632/46200]	Loss: 1.3367	LR: 0.100000
Training Epoch: 9 [5888/46200]	Loss: 1.3719	LR: 0.100000
Training Epoch: 9 [6144/46200]	Loss: 1.2979	LR: 0.100000
Training Epoch: 9 [6400/46200]	Loss: 1.2185	LR: 0.100000
Training Epoch: 9 [6656/46200]	Loss: 1.1879	LR: 0.100000
Training Epoch: 9 [6912/46200]	Loss: 1.2814	LR: 0.100000
Training Epoch: 9 [7168/46200]	Loss: 1.2134	LR: 0.100000
Training Epoch: 9 [7424/46200]	Loss: 1.2473	LR: 0.100000
Training Epoch: 9 [7680/46200]	Loss: 1.2939	LR: 0.100000
Training Epoch: 9 [7936/46200]	Loss: 1.0550	LR: 0.100000
Training Epoch: 9 [8192/46200]	Loss: 1.2069	LR: 0.100000
Training Epoch: 9 [8448/46200]	Loss: 1.1754	LR: 0.100000
Training Epoch: 9 [8704/46200]	Loss: 1.3717	LR: 0.100000
Training Epoch: 9 [8960/46200]	Loss: 1.2293	LR: 0.100000
Training Epoch: 9 [9216/46200]	Loss: 1.3466	LR: 0.100000
Training Epoch: 9 [9472/46200]	Loss: 1.1740	LR: 0.100000
Training Epoch: 9 [9728/46200]	Loss: 1.3118	LR: 0.100000
Training Epoch: 9 [9984/46200]	Loss: 1.2122	LR: 0.100000
Training Epoch: 9 [10240/46200]	Loss: 1.1889	LR: 0.100000
Training Epoch: 9 [10496/46200]	Loss: 1.2298	LR: 0.100000
Training Epoch: 9 [10752/46200]	Loss: 1.2569	LR: 0.100000
Training Epoch: 9 [11008/46200]	Loss: 1.1511	LR: 0.100000
Training Epoch: 9 [11264/46200]	Loss: 1.2888	LR: 0.100000
Training Epoch: 9 [11520/46200]	Loss: 1.2326	LR: 0.100000
Training Epoch: 9 [11776/46200]	Loss: 1.1072	LR: 0.100000
Training Epoch: 9 [12032/46200]	Loss: 1.3908	LR: 0.100000
Training Epoch: 9 [12288/46200]	Loss: 1.0946	LR: 0.100000
Training Epoch: 9 [12544/46200]	Loss: 1.1539	LR: 0.100000
Training Epoch: 9 [12800/46200]	Loss: 1.3001	LR: 0.100000
Training Epoch: 9 [13056/46200]	Loss: 1.1818	LR: 0.100000
Training Epoch: 9 [13312/46200]	Loss: 1.2346	LR: 0.100000
Training Epoch: 9 [13568/46200]	Loss: 1.2835	LR: 0.100000
Training Epoch: 9 [13824/46200]	Loss: 1.3018	LR: 0.100000
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Training Epoch: 9 [16128/46200]	Loss: 1.3243	LR: 0.100000
Training Epoch: 9 [16384/46200]	Loss: 1.1232	LR: 0.100000
Training Epoch: 9 [16640/46200]	Loss: 1.1521	LR: 0.100000
Training Epoch: 9 [16896/46200]	Loss: 1.2029	LR: 0.100000
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Training Epoch: 9 [17408/46200]	Loss: 1.3552	LR: 0.100000
Training Epoch: 9 [17664/46200]	Loss: 1.2845	LR: 0.100000
Training Epoch: 9 [17920/46200]	Loss: 1.2502	LR: 0.100000
Training Epoch: 9 [18176/46200]	Loss: 1.1804	LR: 0.100000
Training Epoch: 9 [18432/46200]	Loss: 1.2681	LR: 0.100000
Training Epoch: 9 [18688/46200]	Loss: 1.1920	LR: 0.100000
Training Epoch: 9 [18944/46200]	Loss: 1.1726	LR: 0.100000
Training Epoch: 9 [19200/46200]	Loss: 1.2388	LR: 0.100000
Training Epoch: 9 [19456/46200]	Loss: 1.1931	LR: 0.100000
Training Epoch: 9 [19712/46200]	Loss: 1.1333	LR: 0.100000
Training Epoch: 9 [19968/46200]	Loss: 1.3842	LR: 0.100000
Training Epoch: 9 [20224/46200]	Loss: 1.3737	LR: 0.100000
Training Epoch: 9 [20480/46200]	Loss: 1.2670	LR: 0.100000
Training Epoch: 9 [20736/46200]	Loss: 1.1812	LR: 0.100000
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Training Epoch: 9 [21248/46200]	Loss: 1.1507	LR: 0.100000
Training Epoch: 9 [21504/46200]	Loss: 1.1821	LR: 0.100000
Training Epoch: 9 [21760/46200]	Loss: 1.1640	LR: 0.100000
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Training Epoch: 9 [22784/46200]	Loss: 1.1246	LR: 0.100000
Training Epoch: 9 [23040/46200]	Loss: 1.2797	LR: 0.100000
Training Epoch: 9 [23296/46200]	Loss: 1.1388	LR: 0.100000
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Training Epoch: 9 [26880/46200]	Loss: 1.1326	LR: 0.100000
Training Epoch: 9 [27136/46200]	Loss: 1.3343	LR: 0.100000
Training Epoch: 9 [27392/46200]	Loss: 1.2033	LR: 0.100000
Training Epoch: 9 [27648/46200]	Loss: 1.2656	LR: 0.100000
Training Epoch: 9 [27904/46200]	Loss: 1.2659	LR: 0.100000
Training Epoch: 9 [28160/46200]	Loss: 1.2242	LR: 0.100000
Training Epoch: 9 [28416/46200]	Loss: 1.2098	LR: 0.100000
Training Epoch: 9 [28672/46200]	Loss: 1.1594	LR: 0.100000
Training Epoch: 9 [28928/46200]	Loss: 1.1930	LR: 0.100000
Training Epoch: 9 [29184/46200]	Loss: 1.3438	LR: 0.100000
Training Epoch: 9 [29440/46200]	Loss: 1.2206	LR: 0.100000
Training Epoch: 9 [29696/46200]	Loss: 1.3614	LR: 0.100000
Training Epoch: 9 [29952/46200]	Loss: 1.3775	LR: 0.100000
Training Epoch: 9 [30208/46200]	Loss: 1.3273	LR: 0.100000
Training Epoch: 9 [30464/46200]	Loss: 1.2639	LR: 0.100000
Training Epoch: 9 [30720/46200]	Loss: 1.3627	LR: 0.100000
Training Epoch: 9 [30976/46200]	Loss: 1.1647	LR: 0.100000
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Training Epoch: 9 [34816/46200]	Loss: 1.2225	LR: 0.100000
Training Epoch: 9 [35072/46200]	Loss: 1.2103	LR: 0.100000
Training Epoch: 9 [35328/46200]	Loss: 1.2149	LR: 0.100000
Training Epoch: 9 [35584/46200]	Loss: 1.3398	LR: 0.100000
Training Epoch: 9 [35840/46200]	Loss: 1.3232	LR: 0.100000
Training Epoch: 9 [36096/46200]	Loss: 1.2433	LR: 0.100000
Training Epoch: 9 [36352/46200]	Loss: 1.2721	LR: 0.100000
Training Epoch: 9 [36608/46200]	Loss: 1.2121	LR: 0.100000
Training Epoch: 9 [36864/46200]	Loss: 1.1110	LR: 0.100000
Training Epoch: 9 [37120/46200]	Loss: 1.2782	LR: 0.100000
Training Epoch: 9 [37376/46200]	Loss: 1.2208	LR: 0.100000
Training Epoch: 9 [37632/46200]	Loss: 1.0899	LR: 0.100000
Training Epoch: 9 [37888/46200]	Loss: 1.2203	LR: 0.100000
Training Epoch: 9 [38144/46200]	Loss: 1.3250	LR: 0.100000
Training Epoch: 9 [38400/46200]	Loss: 1.1812	LR: 0.100000
Training Epoch: 9 [38656/46200]	Loss: 1.0766	LR: 0.100000
Training Epoch: 9 [38912/46200]	Loss: 1.1490	LR: 0.100000
Training Epoch: 9 [39168/46200]	Loss: 1.1206	LR: 0.100000
Training Epoch: 9 [39424/46200]	Loss: 1.1281	LR: 0.100000
Training Epoch: 9 [39680/46200]	Loss: 1.1935	LR: 0.100000
Training Epoch: 9 [39936/46200]	Loss: 1.1960	LR: 0.100000
Training Epoch: 9 [40192/46200]	Loss: 1.1118	LR: 0.100000
Training Epoch: 9 [40448/46200]	Loss: 1.3051	LR: 0.100000
Training Epoch: 9 [40704/46200]	Loss: 1.2317	LR: 0.100000
Training Epoch: 9 [40960/46200]	Loss: 1.2153	LR: 0.100000
Training Epoch: 9 [41216/46200]	Loss: 1.2289	LR: 0.100000
Training Epoch: 9 [41472/46200]	Loss: 1.3550	LR: 0.100000
Training Epoch: 9 [41728/46200]	Loss: 1.1598	LR: 0.100000
Training Epoch: 9 [41984/46200]	Loss: 1.1748	LR: 0.100000
Training Epoch: 9 [42240/46200]	Loss: 1.1094	LR: 0.100000
Training Epoch: 9 [42496/46200]	Loss: 1.3165	LR: 0.100000
Training Epoch: 9 [42752/46200]	Loss: 1.0083	LR: 0.100000
Training Epoch: 9 [43008/46200]	Loss: 1.3032	LR: 0.100000
Training Epoch: 9 [43264/46200]	Loss: 1.1311	LR: 0.100000
Training Epoch: 9 [43520/46200]	Loss: 1.0735	LR: 0.100000
Training Epoch: 9 [43776/46200]	Loss: 1.1929	LR: 0.100000
Training Epoch: 9 [44032/46200]	Loss: 1.1913	LR: 0.100000
Training Epoch: 9 [44288/46200]	Loss: 1.2337	LR: 0.100000
Training Epoch: 9 [44544/46200]	Loss: 1.0278	LR: 0.100000
Training Epoch: 9 [44800/46200]	Loss: 1.1179	LR: 0.100000
Training Epoch: 9 [45056/46200]	Loss: 1.2490	LR: 0.100000
Training Epoch: 9 [45312/46200]	Loss: 1.2503	LR: 0.100000
Training Epoch: 9 [45568/46200]	Loss: 1.1372	LR: 0.100000
Training Epoch: 9 [45824/46200]	Loss: 1.1803	LR: 0.100000
Training Epoch: 9 [46080/46200]	Loss: 1.1860	LR: 0.100000
Training Epoch: 9 [46200/46200]	Loss: 1.0201	LR: 0.100000
Epoch 9 - Average Train Loss: 1.2266, Train Accuracy: 0.6066
Epoch 9 training time consumed: 25.27s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0072, Accuracy: 0.5116, Time consumed:0.89s
Training Epoch: 10 [256/46200]	Loss: 1.0653	LR: 0.100000
Training Epoch: 10 [512/46200]	Loss: 1.0691	LR: 0.100000
Training Epoch: 10 [768/46200]	Loss: 1.1794	LR: 0.100000
Training Epoch: 10 [1024/46200]	Loss: 1.1815	LR: 0.100000
Training Epoch: 10 [1280/46200]	Loss: 1.1501	LR: 0.100000
Training Epoch: 10 [1536/46200]	Loss: 1.1046	LR: 0.100000
Training Epoch: 10 [1792/46200]	Loss: 1.1450	LR: 0.100000
Training Epoch: 10 [2048/46200]	Loss: 1.1691	LR: 0.100000
Training Epoch: 10 [2304/46200]	Loss: 1.1760	LR: 0.100000
Training Epoch: 10 [2560/46200]	Loss: 1.1338	LR: 0.100000
Training Epoch: 10 [2816/46200]	Loss: 1.1209	LR: 0.100000
Training Epoch: 10 [3072/46200]	Loss: 1.2609	LR: 0.100000
Training Epoch: 10 [3328/46200]	Loss: 1.1098	LR: 0.100000
Training Epoch: 10 [3584/46200]	Loss: 1.0857	LR: 0.100000
Training Epoch: 10 [3840/46200]	Loss: 1.1319	LR: 0.100000
Training Epoch: 10 [4096/46200]	Loss: 1.1406	LR: 0.100000
Training Epoch: 10 [4352/46200]	Loss: 1.1538	LR: 0.100000
Training Epoch: 10 [4608/46200]	Loss: 1.1393	LR: 0.100000
Training Epoch: 10 [4864/46200]	Loss: 1.2741	LR: 0.100000
Training Epoch: 10 [5120/46200]	Loss: 1.0949	LR: 0.100000
Training Epoch: 10 [5376/46200]	Loss: 1.1477	LR: 0.100000
Training Epoch: 10 [5632/46200]	Loss: 1.1743	LR: 0.100000
Training Epoch: 10 [5888/46200]	Loss: 1.2032	LR: 0.100000
Training Epoch: 10 [6144/46200]	Loss: 1.2288	LR: 0.100000
Training Epoch: 10 [6400/46200]	Loss: 1.2682	LR: 0.100000
Training Epoch: 10 [6656/46200]	Loss: 1.1877	LR: 0.100000
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Training Epoch: 10 [7168/46200]	Loss: 1.2651	LR: 0.100000
Training Epoch: 10 [7424/46200]	Loss: 1.1228	LR: 0.100000
Training Epoch: 10 [7680/46200]	Loss: 1.1459	LR: 0.100000
Training Epoch: 10 [7936/46200]	Loss: 1.1725	LR: 0.100000
Training Epoch: 10 [8192/46200]	Loss: 1.1818	LR: 0.100000
Training Epoch: 10 [8448/46200]	Loss: 1.2903	LR: 0.100000
Training Epoch: 10 [8704/46200]	Loss: 1.1412	LR: 0.100000
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Epoch 10 - Average Train Loss: 1.1677, Train Accuracy: 0.6264
Epoch 10 training time consumed: 25.40s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0064, Accuracy: 0.5419, Time consumed:0.87s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_09h_04m_02s/AllCNN-Cifar20-seed2-ret25-10-best.pth
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Training Epoch: 11 [46200/46200]	Loss: 1.0138	LR: 0.100000
Epoch 11 - Average Train Loss: 1.1211, Train Accuracy: 0.6406
Epoch 11 training time consumed: 25.29s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0051, Accuracy: 0.6001, Time consumed:0.94s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_09h_04m_02s/AllCNN-Cifar20-seed2-ret25-11-best.pth
Training Epoch: 12 [256/46200]	Loss: 1.0403	LR: 0.100000
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Training Epoch: 12 [46080/46200]	Loss: 1.2014	LR: 0.100000
Training Epoch: 12 [46200/46200]	Loss: 0.8115	LR: 0.100000
Epoch 12 - Average Train Loss: 1.0868, Train Accuracy: 0.6503
Epoch 12 training time consumed: 25.14s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0053, Accuracy: 0.5980, Time consumed:0.83s
Training Epoch: 13 [256/46200]	Loss: 0.9702	LR: 0.100000
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Training Epoch: 13 [46200/46200]	Loss: 0.9418	LR: 0.100000
Epoch 13 - Average Train Loss: 1.0496, Train Accuracy: 0.6622
Epoch 13 training time consumed: 25.20s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0055, Accuracy: 0.5869, Time consumed:0.93s
Training Epoch: 14 [256/46200]	Loss: 0.9930	LR: 0.100000
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Training Epoch: 14 [46200/46200]	Loss: 1.0603	LR: 0.100000
Epoch 14 - Average Train Loss: 1.0241, Train Accuracy: 0.6732
Epoch 14 training time consumed: 25.26s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0049, Accuracy: 0.6360, Time consumed:0.84s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_09h_04m_02s/AllCNN-Cifar20-seed2-ret25-14-best.pth
Training Epoch: 15 [256/46200]	Loss: 0.8662	LR: 0.020000
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Training Epoch: 15 [46200/46200]	Loss: 0.5723	LR: 0.020000
Epoch 15 - Average Train Loss: 0.7862, Train Accuracy: 0.7489
Epoch 15 training time consumed: 25.06s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0034, Accuracy: 0.7231, Time consumed:0.86s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_09h_04m_02s/AllCNN-Cifar20-seed2-ret25-15-best.pth
Training Epoch: 16 [256/46200]	Loss: 0.7758	LR: 0.020000
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Training Epoch: 16 [46080/46200]	Loss: 0.6847	LR: 0.020000
Training Epoch: 16 [46200/46200]	Loss: 0.7984	LR: 0.020000
Epoch 16 - Average Train Loss: 0.7118, Train Accuracy: 0.7729
Epoch 16 training time consumed: 25.08s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0035, Accuracy: 0.7306, Time consumed:0.88s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_09h_04m_02s/AllCNN-Cifar20-seed2-ret25-16-best.pth
Training Epoch: 17 [256/46200]	Loss: 0.6914	LR: 0.020000
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Training Epoch: 17 [46200/46200]	Loss: 0.7671	LR: 0.020000
Epoch 17 - Average Train Loss: 0.6768, Train Accuracy: 0.7840
Epoch 17 training time consumed: 25.10s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0035, Accuracy: 0.7323, Time consumed:0.92s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_09h_04m_02s/AllCNN-Cifar20-seed2-ret25-17-best.pth
Training Epoch: 18 [256/46200]	Loss: 0.6044	LR: 0.020000
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Training Epoch: 18 [46200/46200]	Loss: 1.0119	LR: 0.020000
Epoch 18 - Average Train Loss: 0.6561, Train Accuracy: 0.7888
Epoch 18 training time consumed: 25.07s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0035, Accuracy: 0.7371, Time consumed:0.88s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_09h_04m_02s/AllCNN-Cifar20-seed2-ret25-18-best.pth
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Training Epoch: 19 [37376/46200]	Loss: 0.6338	LR: 0.020000
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Training Epoch: 19 [46080/46200]	Loss: 0.7261	LR: 0.020000
Training Epoch: 19 [46200/46200]	Loss: 0.7705	LR: 0.020000
Epoch 19 - Average Train Loss: 0.6333, Train Accuracy: 0.7980
Epoch 19 training time consumed: 25.48s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0035, Accuracy: 0.7363, Time consumed:0.86s
Training Epoch: 20 [256/46200]	Loss: 0.5407	LR: 0.020000
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Training Epoch: 20 [46080/46200]	Loss: 0.7375	LR: 0.020000
Training Epoch: 20 [46200/46200]	Loss: 0.5220	LR: 0.020000
Epoch 20 - Average Train Loss: 0.6196, Train Accuracy: 0.8009
Epoch 20 training time consumed: 25.01s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0034, Accuracy: 0.7393, Time consumed:0.86s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_09h_04m_02s/AllCNN-Cifar20-seed2-ret25-20-best.pth
Training Epoch: 21 [256/46200]	Loss: 0.5609	LR: 0.020000
Training Epoch: 21 [512/46200]	Loss: 0.5314	LR: 0.020000
Training Epoch: 21 [768/46200]	Loss: 0.5195	LR: 0.020000
Training Epoch: 21 [1024/46200]	Loss: 0.5991	LR: 0.020000
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Training Epoch: 21 [1536/46200]	Loss: 0.5563	LR: 0.020000
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Training Epoch: 21 [17152/46200]	Loss: 0.5033	LR: 0.020000
Training Epoch: 21 [17408/46200]	Loss: 0.6119	LR: 0.020000
Training Epoch: 21 [17664/46200]	Loss: 0.6489	LR: 0.020000
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Training Epoch: 21 [18176/46200]	Loss: 0.6213	LR: 0.020000
Training Epoch: 21 [18432/46200]	Loss: 0.5959	LR: 0.020000
Training Epoch: 21 [18688/46200]	Loss: 0.6596	LR: 0.020000
Training Epoch: 21 [18944/46200]	Loss: 0.5896	LR: 0.020000
Training Epoch: 21 [19200/46200]	Loss: 0.6162	LR: 0.020000
Training Epoch: 21 [19456/46200]	Loss: 0.6422	LR: 0.020000
Training Epoch: 21 [19712/46200]	Loss: 0.7115	LR: 0.020000
Training Epoch: 21 [19968/46200]	Loss: 0.5833	LR: 0.020000
Training Epoch: 21 [20224/46200]	Loss: 0.5836	LR: 0.020000
Training Epoch: 21 [20480/46200]	Loss: 0.4807	LR: 0.020000
Training Epoch: 21 [20736/46200]	Loss: 0.6029	LR: 0.020000
Training Epoch: 21 [20992/46200]	Loss: 0.6247	LR: 0.020000
Training Epoch: 21 [21248/46200]	Loss: 0.6541	LR: 0.020000
Training Epoch: 21 [21504/46200]	Loss: 0.6030	LR: 0.020000
Training Epoch: 21 [21760/46200]	Loss: 0.6705	LR: 0.020000
Training Epoch: 21 [22016/46200]	Loss: 0.5273	LR: 0.020000
Training Epoch: 21 [22272/46200]	Loss: 0.5770	LR: 0.020000
Training Epoch: 21 [22528/46200]	Loss: 0.6117	LR: 0.020000
Training Epoch: 21 [22784/46200]	Loss: 0.6197	LR: 0.020000
Training Epoch: 21 [23040/46200]	Loss: 0.5527	LR: 0.020000
Training Epoch: 21 [23296/46200]	Loss: 0.6582	LR: 0.020000
Training Epoch: 21 [23552/46200]	Loss: 0.5184	LR: 0.020000
Training Epoch: 21 [23808/46200]	Loss: 0.5769	LR: 0.020000
Training Epoch: 21 [24064/46200]	Loss: 0.6278	LR: 0.020000
Training Epoch: 21 [24320/46200]	Loss: 0.5911	LR: 0.020000
Training Epoch: 21 [24576/46200]	Loss: 0.6206	LR: 0.020000
Training Epoch: 21 [24832/46200]	Loss: 0.6912	LR: 0.020000
Training Epoch: 21 [25088/46200]	Loss: 0.4909	LR: 0.020000
Training Epoch: 21 [25344/46200]	Loss: 0.6423	LR: 0.020000
Training Epoch: 21 [25600/46200]	Loss: 0.5665	LR: 0.020000
Training Epoch: 21 [25856/46200]	Loss: 0.6674	LR: 0.020000
Training Epoch: 21 [26112/46200]	Loss: 0.6361	LR: 0.020000
Training Epoch: 21 [26368/46200]	Loss: 0.6150	LR: 0.020000
Training Epoch: 21 [26624/46200]	Loss: 0.5321	LR: 0.020000
Training Epoch: 21 [26880/46200]	Loss: 0.6395	LR: 0.020000
Training Epoch: 21 [27136/46200]	Loss: 0.6839	LR: 0.020000
Training Epoch: 21 [27392/46200]	Loss: 0.6375	LR: 0.020000
Training Epoch: 21 [27648/46200]	Loss: 0.5638	LR: 0.020000
Training Epoch: 21 [27904/46200]	Loss: 0.5487	LR: 0.020000
Training Epoch: 21 [28160/46200]	Loss: 0.6539	LR: 0.020000
Training Epoch: 21 [28416/46200]	Loss: 0.6491	LR: 0.020000
Training Epoch: 21 [28672/46200]	Loss: 0.6315	LR: 0.020000
Training Epoch: 21 [28928/46200]	Loss: 0.6549	LR: 0.020000
Training Epoch: 21 [29184/46200]	Loss: 0.5935	LR: 0.020000
Training Epoch: 21 [29440/46200]	Loss: 0.5507	LR: 0.020000
Training Epoch: 21 [29696/46200]	Loss: 0.6306	LR: 0.020000
Training Epoch: 21 [29952/46200]	Loss: 0.6514	LR: 0.020000
Training Epoch: 21 [30208/46200]	Loss: 0.5431	LR: 0.020000
Training Epoch: 21 [30464/46200]	Loss: 0.6931	LR: 0.020000
Training Epoch: 21 [30720/46200]	Loss: 0.6937	LR: 0.020000
Training Epoch: 21 [30976/46200]	Loss: 0.4540	LR: 0.020000
Training Epoch: 21 [31232/46200]	Loss: 0.5962	LR: 0.020000
Training Epoch: 21 [31488/46200]	Loss: 0.4935	LR: 0.020000
Training Epoch: 21 [31744/46200]	Loss: 0.5254	LR: 0.020000
Training Epoch: 21 [32000/46200]	Loss: 0.6071	LR: 0.020000
Training Epoch: 21 [32256/46200]	Loss: 0.4957	LR: 0.020000
Training Epoch: 21 [32512/46200]	Loss: 0.5528	LR: 0.020000
Training Epoch: 21 [32768/46200]	Loss: 0.7365	LR: 0.020000
Training Epoch: 21 [33024/46200]	Loss: 0.5500	LR: 0.020000
Training Epoch: 21 [33280/46200]	Loss: 0.5607	LR: 0.020000
Training Epoch: 21 [33536/46200]	Loss: 0.6202	LR: 0.020000
Training Epoch: 21 [33792/46200]	Loss: 0.6190	LR: 0.020000
Training Epoch: 21 [34048/46200]	Loss: 0.6392	LR: 0.020000
Training Epoch: 21 [34304/46200]	Loss: 0.6348	LR: 0.020000
Training Epoch: 21 [34560/46200]	Loss: 0.6809	LR: 0.020000
Training Epoch: 21 [34816/46200]	Loss: 0.5899	LR: 0.020000
Training Epoch: 21 [35072/46200]	Loss: 0.6330	LR: 0.020000
Training Epoch: 21 [35328/46200]	Loss: 0.6428	LR: 0.020000
Training Epoch: 21 [35584/46200]	Loss: 0.6050	LR: 0.020000
Training Epoch: 21 [35840/46200]	Loss: 0.7266	LR: 0.020000
Training Epoch: 21 [36096/46200]	Loss: 0.6120	LR: 0.020000
Training Epoch: 21 [36352/46200]	Loss: 0.5174	LR: 0.020000
Training Epoch: 21 [36608/46200]	Loss: 0.5234	LR: 0.020000
Training Epoch: 21 [36864/46200]	Loss: 0.6886	LR: 0.020000
Training Epoch: 21 [37120/46200]	Loss: 0.6342	LR: 0.020000
Training Epoch: 21 [37376/46200]	Loss: 0.6060	LR: 0.020000
Training Epoch: 21 [37632/46200]	Loss: 0.5940	LR: 0.020000
Training Epoch: 21 [37888/46200]	Loss: 0.7397	LR: 0.020000
Training Epoch: 21 [38144/46200]	Loss: 0.5890	LR: 0.020000
Training Epoch: 21 [38400/46200]	Loss: 0.6404	LR: 0.020000
Training Epoch: 21 [38656/46200]	Loss: 0.7592	LR: 0.020000
Training Epoch: 21 [38912/46200]	Loss: 0.6118	LR: 0.020000
Training Epoch: 21 [39168/46200]	Loss: 0.6249	LR: 0.020000
Training Epoch: 21 [39424/46200]	Loss: 0.6987	LR: 0.020000
Training Epoch: 21 [39680/46200]	Loss: 0.6843	LR: 0.020000
Training Epoch: 21 [39936/46200]	Loss: 0.5603	LR: 0.020000
Training Epoch: 21 [40192/46200]	Loss: 0.6395	LR: 0.020000
Training Epoch: 21 [40448/46200]	Loss: 0.5970	LR: 0.020000
Training Epoch: 21 [40704/46200]	Loss: 0.5481	LR: 0.020000
Training Epoch: 21 [40960/46200]	Loss: 0.5673	LR: 0.020000
Training Epoch: 21 [41216/46200]	Loss: 0.5336	LR: 0.020000
Training Epoch: 21 [41472/46200]	Loss: 0.6309	LR: 0.020000
Training Epoch: 21 [41728/46200]	Loss: 0.6354	LR: 0.020000
Training Epoch: 21 [41984/46200]	Loss: 0.7184	LR: 0.020000
Training Epoch: 21 [42240/46200]	Loss: 0.6594	LR: 0.020000
Training Epoch: 21 [42496/46200]	Loss: 0.5213	LR: 0.020000
Training Epoch: 21 [42752/46200]	Loss: 0.6314	LR: 0.020000
Training Epoch: 21 [43008/46200]	Loss: 0.6202	LR: 0.020000
Training Epoch: 21 [43264/46200]	Loss: 0.5733	LR: 0.020000
Training Epoch: 21 [43520/46200]	Loss: 0.6069	LR: 0.020000
Training Epoch: 21 [43776/46200]	Loss: 0.6282	LR: 0.020000
Training Epoch: 21 [44032/46200]	Loss: 0.6654	LR: 0.020000
Training Epoch: 21 [44288/46200]	Loss: 0.6357	LR: 0.020000
Training Epoch: 21 [44544/46200]	Loss: 0.5612	LR: 0.020000
Training Epoch: 21 [44800/46200]	Loss: 0.5670	LR: 0.020000
Training Epoch: 21 [45056/46200]	Loss: 0.8002	LR: 0.020000
Training Epoch: 21 [45312/46200]	Loss: 0.6870	LR: 0.020000
Training Epoch: 21 [45568/46200]	Loss: 0.5690	LR: 0.020000
Training Epoch: 21 [45824/46200]	Loss: 0.6485	LR: 0.020000
Training Epoch: 21 [46080/46200]	Loss: 0.6576	LR: 0.020000
Training Epoch: 21 [46200/46200]	Loss: 0.5919	LR: 0.020000
Epoch 21 - Average Train Loss: 0.6014, Train Accuracy: 0.8039
Epoch 21 training time consumed: 25.06s
Evaluating Network.....
Test set: Epoch: 21, Average loss: 0.0036, Accuracy: 0.7282, Time consumed:0.89s
Training Epoch: 22 [256/46200]	Loss: 0.5501	LR: 0.020000
Training Epoch: 22 [512/46200]	Loss: 0.4858	LR: 0.020000
Training Epoch: 22 [768/46200]	Loss: 0.6192	LR: 0.020000
Training Epoch: 22 [1024/46200]	Loss: 0.4778	LR: 0.020000
Training Epoch: 22 [1280/46200]	Loss: 0.5481	LR: 0.020000
Training Epoch: 22 [1536/46200]	Loss: 0.5770	LR: 0.020000
Training Epoch: 22 [1792/46200]	Loss: 0.5843	LR: 0.020000
Training Epoch: 22 [2048/46200]	Loss: 0.5459	LR: 0.020000
Training Epoch: 22 [2304/46200]	Loss: 0.5348	LR: 0.020000
Training Epoch: 22 [2560/46200]	Loss: 0.5647	LR: 0.020000
Training Epoch: 22 [2816/46200]	Loss: 0.5675	LR: 0.020000
Training Epoch: 22 [3072/46200]	Loss: 0.6704	LR: 0.020000
Training Epoch: 22 [3328/46200]	Loss: 0.5795	LR: 0.020000
Training Epoch: 22 [3584/46200]	Loss: 0.5586	LR: 0.020000
Training Epoch: 22 [3840/46200]	Loss: 0.5847	LR: 0.020000
Training Epoch: 22 [4096/46200]	Loss: 0.5325	LR: 0.020000
Training Epoch: 22 [4352/46200]	Loss: 0.5552	LR: 0.020000
Training Epoch: 22 [4608/46200]	Loss: 0.6847	LR: 0.020000
Training Epoch: 22 [4864/46200]	Loss: 0.5684	LR: 0.020000
Training Epoch: 22 [5120/46200]	Loss: 0.5324	LR: 0.020000
Training Epoch: 22 [5376/46200]	Loss: 0.5848	LR: 0.020000
Training Epoch: 22 [5632/46200]	Loss: 0.5505	LR: 0.020000
Training Epoch: 22 [5888/46200]	Loss: 0.6058	LR: 0.020000
Training Epoch: 22 [6144/46200]	Loss: 0.6194	LR: 0.020000
Training Epoch: 22 [6400/46200]	Loss: 0.5593	LR: 0.020000
Training Epoch: 22 [6656/46200]	Loss: 0.5381	LR: 0.020000
Training Epoch: 22 [6912/46200]	Loss: 0.6748	LR: 0.020000
Training Epoch: 22 [7168/46200]	Loss: 0.6523	LR: 0.020000
Training Epoch: 22 [7424/46200]	Loss: 0.6095	LR: 0.020000
Training Epoch: 22 [7680/46200]	Loss: 0.5461	LR: 0.020000
Training Epoch: 22 [7936/46200]	Loss: 0.5302	LR: 0.020000
Training Epoch: 22 [8192/46200]	Loss: 0.4125	LR: 0.020000
Training Epoch: 22 [8448/46200]	Loss: 0.5382	LR: 0.020000
Training Epoch: 22 [8704/46200]	Loss: 0.7265	LR: 0.020000
Training Epoch: 22 [8960/46200]	Loss: 0.5451	LR: 0.020000
Training Epoch: 22 [9216/46200]	Loss: 0.5201	LR: 0.020000
Training Epoch: 22 [9472/46200]	Loss: 0.6448	LR: 0.020000
Training Epoch: 22 [9728/46200]	Loss: 0.5599	LR: 0.020000
Training Epoch: 22 [9984/46200]	Loss: 0.5575	LR: 0.020000
Training Epoch: 22 [10240/46200]	Loss: 0.5622	LR: 0.020000
Training Epoch: 22 [10496/46200]	Loss: 0.6058	LR: 0.020000
Training Epoch: 22 [10752/46200]	Loss: 0.6879	LR: 0.020000
Training Epoch: 22 [11008/46200]	Loss: 0.5013	LR: 0.020000
Training Epoch: 22 [11264/46200]	Loss: 0.5849	LR: 0.020000
Training Epoch: 22 [11520/46200]	Loss: 0.5311	LR: 0.020000
Training Epoch: 22 [11776/46200]	Loss: 0.5999	LR: 0.020000
Training Epoch: 22 [12032/46200]	Loss: 0.4981	LR: 0.020000
Training Epoch: 22 [12288/46200]	Loss: 0.5769	LR: 0.020000
Training Epoch: 22 [12544/46200]	Loss: 0.5367	LR: 0.020000
Training Epoch: 22 [12800/46200]	Loss: 0.5442	LR: 0.020000
Training Epoch: 22 [13056/46200]	Loss: 0.5564	LR: 0.020000
Training Epoch: 22 [13312/46200]	Loss: 0.6375	LR: 0.020000
Training Epoch: 22 [13568/46200]	Loss: 0.5841	LR: 0.020000
Training Epoch: 22 [13824/46200]	Loss: 0.5974	LR: 0.020000
Training Epoch: 22 [14080/46200]	Loss: 0.5315	LR: 0.020000
Training Epoch: 22 [14336/46200]	Loss: 0.5036	LR: 0.020000
Training Epoch: 22 [14592/46200]	Loss: 0.7566	LR: 0.020000
Training Epoch: 22 [14848/46200]	Loss: 0.5757	LR: 0.020000
Training Epoch: 22 [15104/46200]	Loss: 0.5338	LR: 0.020000
Training Epoch: 22 [15360/46200]	Loss: 0.5837	LR: 0.020000
Training Epoch: 22 [15616/46200]	Loss: 0.6713	LR: 0.020000
Training Epoch: 22 [15872/46200]	Loss: 0.5412	LR: 0.020000
Training Epoch: 22 [16128/46200]	Loss: 0.6362	LR: 0.020000
Training Epoch: 22 [16384/46200]	Loss: 0.6029	LR: 0.020000
Training Epoch: 22 [16640/46200]	Loss: 0.5605	LR: 0.020000
Training Epoch: 22 [16896/46200]	Loss: 0.6443	LR: 0.020000
Training Epoch: 22 [17152/46200]	Loss: 0.5453	LR: 0.020000
Training Epoch: 22 [17408/46200]	Loss: 0.6665	LR: 0.020000
Training Epoch: 22 [17664/46200]	Loss: 0.6132	LR: 0.020000
Training Epoch: 22 [17920/46200]	Loss: 0.6357	LR: 0.020000
Training Epoch: 22 [18176/46200]	Loss: 0.5403	LR: 0.020000
Training Epoch: 22 [18432/46200]	Loss: 0.5862	LR: 0.020000
Training Epoch: 22 [18688/46200]	Loss: 0.5111	LR: 0.020000
Training Epoch: 22 [18944/46200]	Loss: 0.5106	LR: 0.020000
Training Epoch: 22 [19200/46200]	Loss: 0.5740	LR: 0.020000
Training Epoch: 22 [19456/46200]	Loss: 0.5889	LR: 0.020000
Training Epoch: 22 [19712/46200]	Loss: 0.5866	LR: 0.020000
Training Epoch: 22 [19968/46200]	Loss: 0.6003	LR: 0.020000
Training Epoch: 22 [20224/46200]	Loss: 0.6683	LR: 0.020000
Training Epoch: 22 [20480/46200]	Loss: 0.5588	LR: 0.020000
Training Epoch: 22 [20736/46200]	Loss: 0.6111	LR: 0.020000
Training Epoch: 22 [20992/46200]	Loss: 0.6110	LR: 0.020000
Training Epoch: 22 [21248/46200]	Loss: 0.5832	LR: 0.020000
Training Epoch: 22 [21504/46200]	Loss: 0.5093	LR: 0.020000
Training Epoch: 22 [21760/46200]	Loss: 0.6338	LR: 0.020000
Training Epoch: 22 [22016/46200]	Loss: 0.4391	LR: 0.020000
Training Epoch: 22 [22272/46200]	Loss: 0.5503	LR: 0.020000
Training Epoch: 22 [22528/46200]	Loss: 0.4938	LR: 0.020000
Training Epoch: 22 [22784/46200]	Loss: 0.5274	LR: 0.020000
Training Epoch: 22 [23040/46200]	Loss: 0.6498	LR: 0.020000
Training Epoch: 22 [23296/46200]	Loss: 0.5478	LR: 0.020000
Training Epoch: 22 [23552/46200]	Loss: 0.5974	LR: 0.020000
Training Epoch: 22 [23808/46200]	Loss: 0.6291	LR: 0.020000
Training Epoch: 22 [24064/46200]	Loss: 0.5366	LR: 0.020000
Training Epoch: 22 [24320/46200]	Loss: 0.7194	LR: 0.020000
Training Epoch: 22 [24576/46200]	Loss: 0.5378	LR: 0.020000
Training Epoch: 22 [24832/46200]	Loss: 0.5549	LR: 0.020000
Training Epoch: 22 [25088/46200]	Loss: 0.7337	LR: 0.020000
Training Epoch: 22 [25344/46200]	Loss: 0.6335	LR: 0.020000
Training Epoch: 22 [25600/46200]	Loss: 0.6190	LR: 0.020000
Training Epoch: 22 [25856/46200]	Loss: 0.5664	LR: 0.020000
Training Epoch: 22 [26112/46200]	Loss: 0.5557	LR: 0.020000
Training Epoch: 22 [26368/46200]	Loss: 0.6678	LR: 0.020000
Training Epoch: 22 [26624/46200]	Loss: 0.5747	LR: 0.020000
Training Epoch: 22 [26880/46200]	Loss: 0.6325	LR: 0.020000
Training Epoch: 22 [27136/46200]	Loss: 0.6063	LR: 0.020000
Training Epoch: 22 [27392/46200]	Loss: 0.7174	LR: 0.020000
Training Epoch: 22 [27648/46200]	Loss: 0.6216	LR: 0.020000
Training Epoch: 22 [27904/46200]	Loss: 0.5394	LR: 0.020000
Training Epoch: 22 [28160/46200]	Loss: 0.5611	LR: 0.020000
Training Epoch: 22 [28416/46200]	Loss: 0.6330	LR: 0.020000
Training Epoch: 22 [28672/46200]	Loss: 0.6316	LR: 0.020000
Training Epoch: 22 [28928/46200]	Loss: 0.5458	LR: 0.020000
Training Epoch: 22 [29184/46200]	Loss: 0.5968	LR: 0.020000
Training Epoch: 22 [29440/46200]	Loss: 0.6333	LR: 0.020000
Training Epoch: 22 [29696/46200]	Loss: 0.6428	LR: 0.020000
Training Epoch: 22 [29952/46200]	Loss: 0.5800	LR: 0.020000
Training Epoch: 22 [30208/46200]	Loss: 0.6488	LR: 0.020000
Training Epoch: 22 [30464/46200]	Loss: 0.6828	LR: 0.020000
Training Epoch: 22 [30720/46200]	Loss: 0.7153	LR: 0.020000
Training Epoch: 22 [30976/46200]	Loss: 0.5896	LR: 0.020000
Training Epoch: 22 [31232/46200]	Loss: 0.6334	LR: 0.020000
Training Epoch: 22 [31488/46200]	Loss: 0.6040	LR: 0.020000
Training Epoch: 22 [31744/46200]	Loss: 0.6571	LR: 0.020000
Training Epoch: 22 [32000/46200]	Loss: 0.5993	LR: 0.020000
Training Epoch: 22 [32256/46200]	Loss: 0.6969	LR: 0.020000
Training Epoch: 22 [32512/46200]	Loss: 0.5458	LR: 0.020000
Training Epoch: 22 [32768/46200]	Loss: 0.5030	LR: 0.020000
Training Epoch: 22 [33024/46200]	Loss: 0.6581	LR: 0.020000
Training Epoch: 22 [33280/46200]	Loss: 0.5973	LR: 0.020000
Training Epoch: 22 [33536/46200]	Loss: 0.6116	LR: 0.020000
Training Epoch: 22 [33792/46200]	Loss: 0.5578	LR: 0.020000
Training Epoch: 22 [34048/46200]	Loss: 0.4327	LR: 0.020000
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Training Epoch: 22 [34560/46200]	Loss: 0.6571	LR: 0.020000
Training Epoch: 22 [34816/46200]	Loss: 0.5603	LR: 0.020000
Training Epoch: 22 [35072/46200]	Loss: 0.6432	LR: 0.020000
Training Epoch: 22 [35328/46200]	Loss: 0.6524	LR: 0.020000
Training Epoch: 22 [35584/46200]	Loss: 0.6464	LR: 0.020000
Training Epoch: 22 [35840/46200]	Loss: 0.5765	LR: 0.020000
Training Epoch: 22 [36096/46200]	Loss: 0.6383	LR: 0.020000
Training Epoch: 22 [36352/46200]	Loss: 0.6038	LR: 0.020000
Training Epoch: 22 [36608/46200]	Loss: 0.6539	LR: 0.020000
Training Epoch: 22 [36864/46200]	Loss: 0.5782	LR: 0.020000
Training Epoch: 22 [37120/46200]	Loss: 0.5881	LR: 0.020000
Training Epoch: 22 [37376/46200]	Loss: 0.7372	LR: 0.020000
Training Epoch: 22 [37632/46200]	Loss: 0.6750	LR: 0.020000
Training Epoch: 22 [37888/46200]	Loss: 0.6774	LR: 0.020000
Training Epoch: 22 [38144/46200]	Loss: 0.5434	LR: 0.020000
Training Epoch: 22 [38400/46200]	Loss: 0.6549	LR: 0.020000
Training Epoch: 22 [38656/46200]	Loss: 0.5365	LR: 0.020000
Training Epoch: 22 [38912/46200]	Loss: 0.5562	LR: 0.020000
Training Epoch: 22 [39168/46200]	Loss: 0.6465	LR: 0.020000
Training Epoch: 22 [39424/46200]	Loss: 0.7365	LR: 0.020000
Training Epoch: 22 [39680/46200]	Loss: 0.5591	LR: 0.020000
Training Epoch: 22 [39936/46200]	Loss: 0.5950	LR: 0.020000
Training Epoch: 22 [40192/46200]	Loss: 0.6478	LR: 0.020000
Training Epoch: 22 [40448/46200]	Loss: 0.5371	LR: 0.020000
Training Epoch: 22 [40704/46200]	Loss: 0.6103	LR: 0.020000
Training Epoch: 22 [40960/46200]	Loss: 0.5993	LR: 0.020000
Training Epoch: 22 [41216/46200]	Loss: 0.6183	LR: 0.020000
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Training Epoch: 22 [43520/46200]	Loss: 0.5523	LR: 0.020000
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Training Epoch: 22 [44544/46200]	Loss: 0.7181	LR: 0.020000
Training Epoch: 22 [44800/46200]	Loss: 0.5739	LR: 0.020000
Training Epoch: 22 [45056/46200]	Loss: 0.5099	LR: 0.020000
Training Epoch: 22 [45312/46200]	Loss: 0.6545	LR: 0.020000
Training Epoch: 22 [45568/46200]	Loss: 0.5774	LR: 0.020000
Training Epoch: 22 [45824/46200]	Loss: 0.5847	LR: 0.020000
Training Epoch: 22 [46080/46200]	Loss: 0.5534	LR: 0.020000
Training Epoch: 22 [46200/46200]	Loss: 0.5184	LR: 0.020000
Epoch 22 - Average Train Loss: 0.5912, Train Accuracy: 0.8075
Epoch 22 training time consumed: 25.15s
Evaluating Network.....
Test set: Epoch: 22, Average loss: 0.0035, Accuracy: 0.7302, Time consumed:0.93s
Training Epoch: 23 [256/46200]	Loss: 0.4824	LR: 0.020000
Training Epoch: 23 [512/46200]	Loss: 0.5645	LR: 0.020000
Training Epoch: 23 [768/46200]	Loss: 0.4767	LR: 0.020000
Training Epoch: 23 [1024/46200]	Loss: 0.4957	LR: 0.020000
Training Epoch: 23 [1280/46200]	Loss: 0.5273	LR: 0.020000
Training Epoch: 23 [1536/46200]	Loss: 0.5447	LR: 0.020000
Training Epoch: 23 [1792/46200]	Loss: 0.5003	LR: 0.020000
Training Epoch: 23 [2048/46200]	Loss: 0.5713	LR: 0.020000
Training Epoch: 23 [2304/46200]	Loss: 0.5059	LR: 0.020000
Training Epoch: 23 [2560/46200]	Loss: 0.5482	LR: 0.020000
Training Epoch: 23 [2816/46200]	Loss: 0.6282	LR: 0.020000
Training Epoch: 23 [3072/46200]	Loss: 0.6840	LR: 0.020000
Training Epoch: 23 [3328/46200]	Loss: 0.4708	LR: 0.020000
Training Epoch: 23 [3584/46200]	Loss: 0.5292	LR: 0.020000
Training Epoch: 23 [3840/46200]	Loss: 0.5639	LR: 0.020000
Training Epoch: 23 [4096/46200]	Loss: 0.6037	LR: 0.020000
Training Epoch: 23 [4352/46200]	Loss: 0.6124	LR: 0.020000
Training Epoch: 23 [4608/46200]	Loss: 0.5335	LR: 0.020000
Training Epoch: 23 [4864/46200]	Loss: 0.5636	LR: 0.020000
Training Epoch: 23 [5120/46200]	Loss: 0.4853	LR: 0.020000
Training Epoch: 23 [5376/46200]	Loss: 0.5438	LR: 0.020000
Training Epoch: 23 [5632/46200]	Loss: 0.5181	LR: 0.020000
Training Epoch: 23 [5888/46200]	Loss: 0.5487	LR: 0.020000
Training Epoch: 23 [6144/46200]	Loss: 0.5925	LR: 0.020000
Training Epoch: 23 [6400/46200]	Loss: 0.5813	LR: 0.020000
Training Epoch: 23 [6656/46200]	Loss: 0.5329	LR: 0.020000
Training Epoch: 23 [6912/46200]	Loss: 0.5350	LR: 0.020000
Training Epoch: 23 [7168/46200]	Loss: 0.5523	LR: 0.020000
Training Epoch: 23 [7424/46200]	Loss: 0.5863	LR: 0.020000
Training Epoch: 23 [7680/46200]	Loss: 0.4936	LR: 0.020000
Training Epoch: 23 [7936/46200]	Loss: 0.5499	LR: 0.020000
Training Epoch: 23 [8192/46200]	Loss: 0.5065	LR: 0.020000
Training Epoch: 23 [8448/46200]	Loss: 0.5673	LR: 0.020000
Training Epoch: 23 [8704/46200]	Loss: 0.5464	LR: 0.020000
Training Epoch: 23 [8960/46200]	Loss: 0.5469	LR: 0.020000
Training Epoch: 23 [9216/46200]	Loss: 0.5287	LR: 0.020000
Training Epoch: 23 [9472/46200]	Loss: 0.4059	LR: 0.020000
Training Epoch: 23 [9728/46200]	Loss: 0.6083	LR: 0.020000
Training Epoch: 23 [9984/46200]	Loss: 0.5888	LR: 0.020000
Training Epoch: 23 [10240/46200]	Loss: 0.6764	LR: 0.020000
Training Epoch: 23 [10496/46200]	Loss: 0.4865	LR: 0.020000
Training Epoch: 23 [10752/46200]	Loss: 0.7108	LR: 0.020000
Training Epoch: 23 [11008/46200]	Loss: 0.5487	LR: 0.020000
Training Epoch: 23 [11264/46200]	Loss: 0.5497	LR: 0.020000
Training Epoch: 23 [11520/46200]	Loss: 0.5741	LR: 0.020000
Training Epoch: 23 [11776/46200]	Loss: 0.5618	LR: 0.020000
Training Epoch: 23 [12032/46200]	Loss: 0.4820	LR: 0.020000
Training Epoch: 23 [12288/46200]	Loss: 0.5570	LR: 0.020000
Training Epoch: 23 [12544/46200]	Loss: 0.4613	LR: 0.020000
Training Epoch: 23 [12800/46200]	Loss: 0.5598	LR: 0.020000
Training Epoch: 23 [13056/46200]	Loss: 0.6012	LR: 0.020000
Training Epoch: 23 [13312/46200]	Loss: 0.6129	LR: 0.020000
Training Epoch: 23 [13568/46200]	Loss: 0.5209	LR: 0.020000
Training Epoch: 23 [13824/46200]	Loss: 0.5650	LR: 0.020000
Training Epoch: 23 [14080/46200]	Loss: 0.5531	LR: 0.020000
Training Epoch: 23 [14336/46200]	Loss: 0.6164	LR: 0.020000
Training Epoch: 23 [14592/46200]	Loss: 0.5765	LR: 0.020000
Training Epoch: 23 [14848/46200]	Loss: 0.5232	LR: 0.020000
Training Epoch: 23 [15104/46200]	Loss: 0.5552	LR: 0.020000
Training Epoch: 23 [15360/46200]	Loss: 0.6193	LR: 0.020000
Training Epoch: 23 [15616/46200]	Loss: 0.5415	LR: 0.020000
Training Epoch: 23 [15872/46200]	Loss: 0.5510	LR: 0.020000
Training Epoch: 23 [16128/46200]	Loss: 0.5665	LR: 0.020000
Training Epoch: 23 [16384/46200]	Loss: 0.5515	LR: 0.020000
Training Epoch: 23 [16640/46200]	Loss: 0.5774	LR: 0.020000
Training Epoch: 23 [16896/46200]	Loss: 0.5600	LR: 0.020000
Training Epoch: 23 [17152/46200]	Loss: 0.5230	LR: 0.020000
Training Epoch: 23 [17408/46200]	Loss: 0.5806	LR: 0.020000
Training Epoch: 23 [17664/46200]	Loss: 0.5543	LR: 0.020000
Training Epoch: 23 [17920/46200]	Loss: 0.4956	LR: 0.020000
Training Epoch: 23 [18176/46200]	Loss: 0.5272	LR: 0.020000
Training Epoch: 23 [18432/46200]	Loss: 0.5229	LR: 0.020000
Training Epoch: 23 [18688/46200]	Loss: 0.5675	LR: 0.020000
Training Epoch: 23 [18944/46200]	Loss: 0.6141	LR: 0.020000
Training Epoch: 23 [19200/46200]	Loss: 0.6491	LR: 0.020000
Training Epoch: 23 [19456/46200]	Loss: 0.5615	LR: 0.020000
Training Epoch: 23 [19712/46200]	Loss: 0.4785	LR: 0.020000
Training Epoch: 23 [19968/46200]	Loss: 0.5918	LR: 0.020000
Training Epoch: 23 [20224/46200]	Loss: 0.5872	LR: 0.020000
Training Epoch: 23 [20480/46200]	Loss: 0.6401	LR: 0.020000
Training Epoch: 23 [20736/46200]	Loss: 0.6092	LR: 0.020000
Training Epoch: 23 [20992/46200]	Loss: 0.5470	LR: 0.020000
Training Epoch: 23 [21248/46200]	Loss: 0.5745	LR: 0.020000
Training Epoch: 23 [21504/46200]	Loss: 0.5122	LR: 0.020000
Training Epoch: 23 [21760/46200]	Loss: 0.4377	LR: 0.020000
Training Epoch: 23 [22016/46200]	Loss: 0.5644	LR: 0.020000
Training Epoch: 23 [22272/46200]	Loss: 0.5083	LR: 0.020000
Training Epoch: 23 [22528/46200]	Loss: 0.5735	LR: 0.020000
Training Epoch: 23 [22784/46200]	Loss: 0.5875	LR: 0.020000
Training Epoch: 23 [23040/46200]	Loss: 0.6771	LR: 0.020000
Training Epoch: 23 [23296/46200]	Loss: 0.6553	LR: 0.020000
Training Epoch: 23 [23552/46200]	Loss: 0.4784	LR: 0.020000
Training Epoch: 23 [23808/46200]	Loss: 0.5746	LR: 0.020000
Training Epoch: 23 [24064/46200]	Loss: 0.5870	LR: 0.020000
Training Epoch: 23 [24320/46200]	Loss: 0.5228	LR: 0.020000
Training Epoch: 23 [24576/46200]	Loss: 0.5898	LR: 0.020000
Training Epoch: 23 [24832/46200]	Loss: 0.4832	LR: 0.020000
Training Epoch: 23 [25088/46200]	Loss: 0.7083	LR: 0.020000
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Training Epoch: 23 [26368/46200]	Loss: 0.5831	LR: 0.020000
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Training Epoch: 23 [27392/46200]	Loss: 0.5665	LR: 0.020000
Training Epoch: 23 [27648/46200]	Loss: 0.6886	LR: 0.020000
Training Epoch: 23 [27904/46200]	Loss: 0.6476	LR: 0.020000
Training Epoch: 23 [28160/46200]	Loss: 0.6316	LR: 0.020000
Training Epoch: 23 [28416/46200]	Loss: 0.6070	LR: 0.020000
Training Epoch: 23 [28672/46200]	Loss: 0.6197	LR: 0.020000
Training Epoch: 23 [28928/46200]	Loss: 0.6365	LR: 0.020000
Training Epoch: 23 [29184/46200]	Loss: 0.5301	LR: 0.020000
Training Epoch: 23 [29440/46200]	Loss: 0.5745	LR: 0.020000
Training Epoch: 23 [29696/46200]	Loss: 0.6425	LR: 0.020000
Training Epoch: 23 [29952/46200]	Loss: 0.5984	LR: 0.020000
Training Epoch: 23 [30208/46200]	Loss: 0.5765	LR: 0.020000
Training Epoch: 23 [30464/46200]	Loss: 0.5435	LR: 0.020000
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Training Epoch: 23 [35072/46200]	Loss: 0.6485	LR: 0.020000
Training Epoch: 23 [35328/46200]	Loss: 0.4958	LR: 0.020000
Training Epoch: 23 [35584/46200]	Loss: 0.6566	LR: 0.020000
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Training Epoch: 23 [36352/46200]	Loss: 0.6129	LR: 0.020000
Training Epoch: 23 [36608/46200]	Loss: 0.5472	LR: 0.020000
Training Epoch: 23 [36864/46200]	Loss: 0.6115	LR: 0.020000
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Training Epoch: 23 [37376/46200]	Loss: 0.5966	LR: 0.020000
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Training Epoch: 23 [38144/46200]	Loss: 0.5111	LR: 0.020000
Training Epoch: 23 [38400/46200]	Loss: 0.5068	LR: 0.020000
Training Epoch: 23 [38656/46200]	Loss: 0.6991	LR: 0.020000
Training Epoch: 23 [38912/46200]	Loss: 0.6766	LR: 0.020000
Training Epoch: 23 [39168/46200]	Loss: 0.5999	LR: 0.020000
Training Epoch: 23 [39424/46200]	Loss: 0.6068	LR: 0.020000
Training Epoch: 23 [39680/46200]	Loss: 0.6812	LR: 0.020000
Training Epoch: 23 [39936/46200]	Loss: 0.6409	LR: 0.020000
Training Epoch: 23 [40192/46200]	Loss: 0.5406	LR: 0.020000
Training Epoch: 23 [40448/46200]	Loss: 0.5391	LR: 0.020000
Training Epoch: 23 [40704/46200]	Loss: 0.5429	LR: 0.020000
Training Epoch: 23 [40960/46200]	Loss: 0.7437	LR: 0.020000
Training Epoch: 23 [41216/46200]	Loss: 0.5180	LR: 0.020000
Training Epoch: 23 [41472/46200]	Loss: 0.6526	LR: 0.020000
Training Epoch: 23 [41728/46200]	Loss: 0.5470	LR: 0.020000
Training Epoch: 23 [41984/46200]	Loss: 0.6180	LR: 0.020000
Training Epoch: 23 [42240/46200]	Loss: 0.5700	LR: 0.020000
Training Epoch: 23 [42496/46200]	Loss: 0.6158	LR: 0.020000
Training Epoch: 23 [42752/46200]	Loss: 0.6815	LR: 0.020000
Training Epoch: 23 [43008/46200]	Loss: 0.5983	LR: 0.020000
Training Epoch: 23 [43264/46200]	Loss: 0.6091	LR: 0.020000
Training Epoch: 23 [43520/46200]	Loss: 0.5339	LR: 0.020000
Training Epoch: 23 [43776/46200]	Loss: 0.6314	LR: 0.020000
Training Epoch: 23 [44032/46200]	Loss: 0.6663	LR: 0.020000
Training Epoch: 23 [44288/46200]	Loss: 0.6699	LR: 0.020000
Training Epoch: 23 [44544/46200]	Loss: 0.6208	LR: 0.020000
Training Epoch: 23 [44800/46200]	Loss: 0.5171	LR: 0.020000
Training Epoch: 23 [45056/46200]	Loss: 0.5971	LR: 0.020000
Training Epoch: 23 [45312/46200]	Loss: 0.6800	LR: 0.020000
Training Epoch: 23 [45568/46200]	Loss: 0.7539	LR: 0.020000
Training Epoch: 23 [45824/46200]	Loss: 0.4917	LR: 0.020000
Training Epoch: 23 [46080/46200]	Loss: 0.6070	LR: 0.020000
Training Epoch: 23 [46200/46200]	Loss: 0.5886	LR: 0.020000
Epoch 23 - Average Train Loss: 0.5768, Train Accuracy: 0.8129
Epoch 23 training time consumed: 25.08s
Evaluating Network.....
Test set: Epoch: 23, Average loss: 0.0035, Accuracy: 0.7312, Time consumed:0.87s
Training Epoch: 24 [256/46200]	Loss: 0.4945	LR: 0.020000
Training Epoch: 24 [512/46200]	Loss: 0.4863	LR: 0.020000
Training Epoch: 24 [768/46200]	Loss: 0.5633	LR: 0.020000
Training Epoch: 24 [1024/46200]	Loss: 0.5409	LR: 0.020000
Training Epoch: 24 [1280/46200]	Loss: 0.6008	LR: 0.020000
Training Epoch: 24 [1536/46200]	Loss: 0.5167	LR: 0.020000
Training Epoch: 24 [1792/46200]	Loss: 0.5067	LR: 0.020000
Training Epoch: 24 [2048/46200]	Loss: 0.5095	LR: 0.020000
Training Epoch: 24 [2304/46200]	Loss: 0.6115	LR: 0.020000
Training Epoch: 24 [2560/46200]	Loss: 0.5926	LR: 0.020000
Training Epoch: 24 [2816/46200]	Loss: 0.5279	LR: 0.020000
Training Epoch: 24 [3072/46200]	Loss: 0.6351	LR: 0.020000
Training Epoch: 24 [3328/46200]	Loss: 0.5576	LR: 0.020000
Training Epoch: 24 [3584/46200]	Loss: 0.5727	LR: 0.020000
Training Epoch: 24 [3840/46200]	Loss: 0.5292	LR: 0.020000
Training Epoch: 24 [4096/46200]	Loss: 0.5099	LR: 0.020000
Training Epoch: 24 [4352/46200]	Loss: 0.5258	LR: 0.020000
Training Epoch: 24 [4608/46200]	Loss: 0.6050	LR: 0.020000
Training Epoch: 24 [4864/46200]	Loss: 0.4262	LR: 0.020000
Training Epoch: 24 [5120/46200]	Loss: 0.5155	LR: 0.020000
Training Epoch: 24 [5376/46200]	Loss: 0.5363	LR: 0.020000
Training Epoch: 24 [5632/46200]	Loss: 0.5716	LR: 0.020000
Training Epoch: 24 [5888/46200]	Loss: 0.5858	LR: 0.020000
Training Epoch: 24 [6144/46200]	Loss: 0.4707	LR: 0.020000
Training Epoch: 24 [6400/46200]	Loss: 0.6155	LR: 0.020000
Training Epoch: 24 [6656/46200]	Loss: 0.5193	LR: 0.020000
Training Epoch: 24 [6912/46200]	Loss: 0.5944	LR: 0.020000
Training Epoch: 24 [7168/46200]	Loss: 0.5336	LR: 0.020000
Training Epoch: 24 [7424/46200]	Loss: 0.4598	LR: 0.020000
Training Epoch: 24 [7680/46200]	Loss: 0.5390	LR: 0.020000
Training Epoch: 24 [7936/46200]	Loss: 0.4601	LR: 0.020000
Training Epoch: 24 [8192/46200]	Loss: 0.6189	LR: 0.020000
Training Epoch: 24 [8448/46200]	Loss: 0.5692	LR: 0.020000
Training Epoch: 24 [8704/46200]	Loss: 0.5718	LR: 0.020000
Training Epoch: 24 [8960/46200]	Loss: 0.5395	LR: 0.020000
Training Epoch: 24 [9216/46200]	Loss: 0.4983	LR: 0.020000
Training Epoch: 24 [9472/46200]	Loss: 0.5257	LR: 0.020000
Training Epoch: 24 [9728/46200]	Loss: 0.5895	LR: 0.020000
Training Epoch: 24 [9984/46200]	Loss: 0.4702	LR: 0.020000
Training Epoch: 24 [10240/46200]	Loss: 0.6191	LR: 0.020000
Training Epoch: 24 [10496/46200]	Loss: 0.5865	LR: 0.020000
Training Epoch: 24 [10752/46200]	Loss: 0.5836	LR: 0.020000
Training Epoch: 24 [11008/46200]	Loss: 0.5193	LR: 0.020000
Training Epoch: 24 [11264/46200]	Loss: 0.5294	LR: 0.020000
Training Epoch: 24 [11520/46200]	Loss: 0.4074	LR: 0.020000
Training Epoch: 24 [11776/46200]	Loss: 0.5650	LR: 0.020000
Training Epoch: 24 [12032/46200]	Loss: 0.5846	LR: 0.020000
Training Epoch: 24 [12288/46200]	Loss: 0.4839	LR: 0.020000
Training Epoch: 24 [12544/46200]	Loss: 0.5991	LR: 0.020000
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Training Epoch: 24 [13056/46200]	Loss: 0.5761	LR: 0.020000
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Training Epoch: 24 [13568/46200]	Loss: 0.5735	LR: 0.020000
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Training Epoch: 24 [15616/46200]	Loss: 0.6107	LR: 0.020000
Training Epoch: 24 [15872/46200]	Loss: 0.5171	LR: 0.020000
Training Epoch: 24 [16128/46200]	Loss: 0.5384	LR: 0.020000
Training Epoch: 24 [16384/46200]	Loss: 0.5742	LR: 0.020000
Training Epoch: 24 [16640/46200]	Loss: 0.4483	LR: 0.020000
Training Epoch: 24 [16896/46200]	Loss: 0.5185	LR: 0.020000
Training Epoch: 24 [17152/46200]	Loss: 0.4476	LR: 0.020000
Training Epoch: 24 [17408/46200]	Loss: 0.5059	LR: 0.020000
Training Epoch: 24 [17664/46200]	Loss: 0.5739	LR: 0.020000
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Training Epoch: 24 [18176/46200]	Loss: 0.5608	LR: 0.020000
Training Epoch: 24 [18432/46200]	Loss: 0.5034	LR: 0.020000
Training Epoch: 24 [18688/46200]	Loss: 0.5891	LR: 0.020000
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Training Epoch: 24 [19456/46200]	Loss: 0.5355	LR: 0.020000
Training Epoch: 24 [19712/46200]	Loss: 0.5786	LR: 0.020000
Training Epoch: 24 [19968/46200]	Loss: 0.5593	LR: 0.020000
Training Epoch: 24 [20224/46200]	Loss: 0.4618	LR: 0.020000
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Training Epoch: 24 [20736/46200]	Loss: 0.5526	LR: 0.020000
Training Epoch: 24 [20992/46200]	Loss: 0.6580	LR: 0.020000
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Training Epoch: 24 [22016/46200]	Loss: 0.5814	LR: 0.020000
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Training Epoch: 24 [22528/46200]	Loss: 0.5905	LR: 0.020000
Training Epoch: 24 [22784/46200]	Loss: 0.5596	LR: 0.020000
Training Epoch: 24 [23040/46200]	Loss: 0.4862	LR: 0.020000
Training Epoch: 24 [23296/46200]	Loss: 0.5544	LR: 0.020000
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Training Epoch: 24 [23808/46200]	Loss: 0.6018	LR: 0.020000
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Training Epoch: 24 [24320/46200]	Loss: 0.5564	LR: 0.020000
Training Epoch: 24 [24576/46200]	Loss: 0.5588	LR: 0.020000
Training Epoch: 24 [24832/46200]	Loss: 0.6150	LR: 0.020000
Training Epoch: 24 [25088/46200]	Loss: 0.5353	LR: 0.020000
Training Epoch: 24 [25344/46200]	Loss: 0.4883	LR: 0.020000
Training Epoch: 24 [25600/46200]	Loss: 0.4329	LR: 0.020000
Training Epoch: 24 [25856/46200]	Loss: 0.5642	LR: 0.020000
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Training Epoch: 24 [26368/46200]	Loss: 0.7133	LR: 0.020000
Training Epoch: 24 [26624/46200]	Loss: 0.5146	LR: 0.020000
Training Epoch: 24 [26880/46200]	Loss: 0.5553	LR: 0.020000
Training Epoch: 24 [27136/46200]	Loss: 0.5957	LR: 0.020000
Training Epoch: 24 [27392/46200]	Loss: 0.5790	LR: 0.020000
Training Epoch: 24 [27648/46200]	Loss: 0.4583	LR: 0.020000
Training Epoch: 24 [27904/46200]	Loss: 0.5768	LR: 0.020000
Training Epoch: 24 [28160/46200]	Loss: 0.5562	LR: 0.020000
Training Epoch: 24 [28416/46200]	Loss: 0.6320	LR: 0.020000
Training Epoch: 24 [28672/46200]	Loss: 0.4748	LR: 0.020000
Training Epoch: 24 [28928/46200]	Loss: 0.5604	LR: 0.020000
Training Epoch: 24 [29184/46200]	Loss: 0.5688	LR: 0.020000
Training Epoch: 24 [29440/46200]	Loss: 0.5404	LR: 0.020000
Training Epoch: 24 [29696/46200]	Loss: 0.5296	LR: 0.020000
Training Epoch: 24 [29952/46200]	Loss: 0.5966	LR: 0.020000
Training Epoch: 24 [30208/46200]	Loss: 0.6452	LR: 0.020000
Training Epoch: 24 [30464/46200]	Loss: 0.5228	LR: 0.020000
Training Epoch: 24 [30720/46200]	Loss: 0.5737	LR: 0.020000
Training Epoch: 24 [30976/46200]	Loss: 0.5919	LR: 0.020000
Training Epoch: 24 [31232/46200]	Loss: 0.6703	LR: 0.020000
Training Epoch: 24 [31488/46200]	Loss: 0.5552	LR: 0.020000
Training Epoch: 24 [31744/46200]	Loss: 0.7045	LR: 0.020000
Training Epoch: 24 [32000/46200]	Loss: 0.6407	LR: 0.020000
Training Epoch: 24 [32256/46200]	Loss: 0.5192	LR: 0.020000
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Training Epoch: 24 [34816/46200]	Loss: 0.5368	LR: 0.020000
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Training Epoch: 24 [36352/46200]	Loss: 0.6256	LR: 0.020000
Training Epoch: 24 [36608/46200]	Loss: 0.5491	LR: 0.020000
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Training Epoch: 24 [37376/46200]	Loss: 0.6214	LR: 0.020000
Training Epoch: 24 [37632/46200]	Loss: 0.5082	LR: 0.020000
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Training Epoch: 24 [38144/46200]	Loss: 0.5587	LR: 0.020000
Training Epoch: 24 [38400/46200]	Loss: 0.5450	LR: 0.020000
Training Epoch: 24 [38656/46200]	Loss: 0.5886	LR: 0.020000
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Training Epoch: 24 [39424/46200]	Loss: 0.6304	LR: 0.020000
Training Epoch: 24 [39680/46200]	Loss: 0.6201	LR: 0.020000
Training Epoch: 24 [39936/46200]	Loss: 0.5344	LR: 0.020000
Training Epoch: 24 [40192/46200]	Loss: 0.4640	LR: 0.020000
Training Epoch: 24 [40448/46200]	Loss: 0.5717	LR: 0.020000
Training Epoch: 24 [40704/46200]	Loss: 0.5012	LR: 0.020000
Training Epoch: 24 [40960/46200]	Loss: 0.7352	LR: 0.020000
Training Epoch: 24 [41216/46200]	Loss: 0.5389	LR: 0.020000
Training Epoch: 24 [41472/46200]	Loss: 0.7046	LR: 0.020000
Training Epoch: 24 [41728/46200]	Loss: 0.5595	LR: 0.020000
Training Epoch: 24 [41984/46200]	Loss: 0.6502	LR: 0.020000
Training Epoch: 24 [42240/46200]	Loss: 0.6096	LR: 0.020000
Training Epoch: 24 [42496/46200]	Loss: 0.6178	LR: 0.020000
Training Epoch: 24 [42752/46200]	Loss: 0.6397	LR: 0.020000
Training Epoch: 24 [43008/46200]	Loss: 0.5389	LR: 0.020000
Training Epoch: 24 [43264/46200]	Loss: 0.5539	LR: 0.020000
Training Epoch: 24 [43520/46200]	Loss: 0.6067	LR: 0.020000
Training Epoch: 24 [43776/46200]	Loss: 0.5037	LR: 0.020000
Training Epoch: 24 [44032/46200]	Loss: 0.5971	LR: 0.020000
Training Epoch: 24 [44288/46200]	Loss: 0.7074	LR: 0.020000
Training Epoch: 24 [44544/46200]	Loss: 0.5439	LR: 0.020000
Training Epoch: 24 [44800/46200]	Loss: 0.5313	LR: 0.020000
Training Epoch: 24 [45056/46200]	Loss: 0.5880	LR: 0.020000
Training Epoch: 24 [45312/46200]	Loss: 0.6573	LR: 0.020000
Training Epoch: 24 [45568/46200]	Loss: 0.5462	LR: 0.020000
Training Epoch: 24 [45824/46200]	Loss: 0.5496	LR: 0.020000
Training Epoch: 24 [46080/46200]	Loss: 0.5521	LR: 0.020000
Training Epoch: 24 [46200/46200]	Loss: 0.4265	LR: 0.020000
Epoch 24 - Average Train Loss: 0.5610, Train Accuracy: 0.8194
Epoch 24 training time consumed: 25.19s
Evaluating Network.....
Test set: Epoch: 24, Average loss: 0.0037, Accuracy: 0.7293, Time consumed:0.88s
Training Epoch: 25 [256/46200]	Loss: 0.5962	LR: 0.020000
Training Epoch: 25 [512/46200]	Loss: 0.5403	LR: 0.020000
Training Epoch: 25 [768/46200]	Loss: 0.5350	LR: 0.020000
Training Epoch: 25 [1024/46200]	Loss: 0.5663	LR: 0.020000
Training Epoch: 25 [1280/46200]	Loss: 0.4733	LR: 0.020000
Training Epoch: 25 [1536/46200]	Loss: 0.5179	LR: 0.020000
Training Epoch: 25 [1792/46200]	Loss: 0.5304	LR: 0.020000
Training Epoch: 25 [2048/46200]	Loss: 0.5576	LR: 0.020000
Training Epoch: 25 [2304/46200]	Loss: 0.6012	LR: 0.020000
Training Epoch: 25 [2560/46200]	Loss: 0.5297	LR: 0.020000
Training Epoch: 25 [2816/46200]	Loss: 0.5622	LR: 0.020000
Training Epoch: 25 [3072/46200]	Loss: 0.4850	LR: 0.020000
Training Epoch: 25 [3328/46200]	Loss: 0.5533	LR: 0.020000
Training Epoch: 25 [3584/46200]	Loss: 0.5309	LR: 0.020000
Training Epoch: 25 [3840/46200]	Loss: 0.4178	LR: 0.020000
Training Epoch: 25 [4096/46200]	Loss: 0.4945	LR: 0.020000
Training Epoch: 25 [4352/46200]	Loss: 0.6764	LR: 0.020000
Training Epoch: 25 [4608/46200]	Loss: 0.5367	LR: 0.020000
Training Epoch: 25 [4864/46200]	Loss: 0.5552	LR: 0.020000
Training Epoch: 25 [5120/46200]	Loss: 0.5981	LR: 0.020000
Training Epoch: 25 [5376/46200]	Loss: 0.5439	LR: 0.020000
Training Epoch: 25 [5632/46200]	Loss: 0.6518	LR: 0.020000
Training Epoch: 25 [5888/46200]	Loss: 0.5182	LR: 0.020000
Training Epoch: 25 [6144/46200]	Loss: 0.5659	LR: 0.020000
Training Epoch: 25 [6400/46200]	Loss: 0.5695	LR: 0.020000
Training Epoch: 25 [6656/46200]	Loss: 0.4971	LR: 0.020000
Training Epoch: 25 [6912/46200]	Loss: 0.4785	LR: 0.020000
Training Epoch: 25 [7168/46200]	Loss: 0.5371	LR: 0.020000
Training Epoch: 25 [7424/46200]	Loss: 0.5552	LR: 0.020000
Training Epoch: 25 [7680/46200]	Loss: 0.6004	LR: 0.020000
Training Epoch: 25 [7936/46200]	Loss: 0.5069	LR: 0.020000
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Training Epoch: 25 [8448/46200]	Loss: 0.5063	LR: 0.020000
Training Epoch: 25 [8704/46200]	Loss: 0.5256	LR: 0.020000
Training Epoch: 25 [8960/46200]	Loss: 0.4843	LR: 0.020000
Training Epoch: 25 [9216/46200]	Loss: 0.5014	LR: 0.020000
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Training Epoch: 25 [9984/46200]	Loss: 0.5492	LR: 0.020000
Training Epoch: 25 [10240/46200]	Loss: 0.5821	LR: 0.020000
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Training Epoch: 25 [10752/46200]	Loss: 0.5636	LR: 0.020000
Training Epoch: 25 [11008/46200]	Loss: 0.4648	LR: 0.020000
Training Epoch: 25 [11264/46200]	Loss: 0.6009	LR: 0.020000
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Training Epoch: 25 [12288/46200]	Loss: 0.5306	LR: 0.020000
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Training Epoch: 25 [18944/46200]	Loss: 0.6144	LR: 0.020000
Training Epoch: 25 [19200/46200]	Loss: 0.5958	LR: 0.020000
Training Epoch: 25 [19456/46200]	Loss: 0.6937	LR: 0.020000
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Training Epoch: 25 [23040/46200]	Loss: 0.5096	LR: 0.020000
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Training Epoch: 25 [26368/46200]	Loss: 0.6662	LR: 0.020000
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Training Epoch: 25 [28160/46200]	Loss: 0.4773	LR: 0.020000
Training Epoch: 25 [28416/46200]	Loss: 0.5338	LR: 0.020000
Training Epoch: 25 [28672/46200]	Loss: 0.5661	LR: 0.020000
Training Epoch: 25 [28928/46200]	Loss: 0.5502	LR: 0.020000
Training Epoch: 25 [29184/46200]	Loss: 0.4756	LR: 0.020000
Training Epoch: 25 [29440/46200]	Loss: 0.5039	LR: 0.020000
Training Epoch: 25 [29696/46200]	Loss: 0.5717	LR: 0.020000
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Training Epoch: 25 [39936/46200]	Loss: 0.6158	LR: 0.020000
Training Epoch: 25 [40192/46200]	Loss: 0.6412	LR: 0.020000
Training Epoch: 25 [40448/46200]	Loss: 0.5290	LR: 0.020000
Training Epoch: 25 [40704/46200]	Loss: 0.6115	LR: 0.020000
Training Epoch: 25 [40960/46200]	Loss: 0.6518	LR: 0.020000
Training Epoch: 25 [41216/46200]	Loss: 0.5583	LR: 0.020000
Training Epoch: 25 [41472/46200]	Loss: 0.5420	LR: 0.020000
Training Epoch: 25 [41728/46200]	Loss: 0.5739	LR: 0.020000
Training Epoch: 25 [41984/46200]	Loss: 0.5864	LR: 0.020000
Training Epoch: 25 [42240/46200]	Loss: 0.6028	LR: 0.020000
Training Epoch: 25 [42496/46200]	Loss: 0.5536	LR: 0.020000
Training Epoch: 25 [42752/46200]	Loss: 0.5423	LR: 0.020000
Training Epoch: 25 [43008/46200]	Loss: 0.4975	LR: 0.020000
Training Epoch: 25 [43264/46200]	Loss: 0.7411	LR: 0.020000
Training Epoch: 25 [43520/46200]	Loss: 0.5682	LR: 0.020000
Training Epoch: 25 [43776/46200]	Loss: 0.6746	LR: 0.020000
Training Epoch: 25 [44032/46200]	Loss: 0.4945	LR: 0.020000
Training Epoch: 25 [44288/46200]	Loss: 0.4739	LR: 0.020000
Training Epoch: 25 [44544/46200]	Loss: 0.5549	LR: 0.020000
Training Epoch: 25 [44800/46200]	Loss: 0.6077	LR: 0.020000
Training Epoch: 25 [45056/46200]	Loss: 0.5692	LR: 0.020000
Training Epoch: 25 [45312/46200]	Loss: 0.5466	LR: 0.020000
Training Epoch: 25 [45568/46200]	Loss: 0.5576	LR: 0.020000
Training Epoch: 25 [45824/46200]	Loss: 0.5928	LR: 0.020000
Training Epoch: 25 [46080/46200]	Loss: 0.4740	LR: 0.020000
Training Epoch: 25 [46200/46200]	Loss: 0.6428	LR: 0.020000
Epoch 25 - Average Train Loss: 0.5570, Train Accuracy: 0.8195
Epoch 25 training time consumed: 24.98s
Evaluating Network.....
Test set: Epoch: 25, Average loss: 0.0036, Accuracy: 0.7307, Time consumed:0.85s
Training Epoch: 26 [256/46200]	Loss: 0.5293	LR: 0.020000
Training Epoch: 26 [512/46200]	Loss: 0.4872	LR: 0.020000
Training Epoch: 26 [768/46200]	Loss: 0.6038	LR: 0.020000
Training Epoch: 26 [1024/46200]	Loss: 0.4687	LR: 0.020000
Training Epoch: 26 [1280/46200]	Loss: 0.6158	LR: 0.020000
Training Epoch: 26 [1536/46200]	Loss: 0.5480	LR: 0.020000
Training Epoch: 26 [1792/46200]	Loss: 0.5986	LR: 0.020000
Training Epoch: 26 [2048/46200]	Loss: 0.5427	LR: 0.020000
Training Epoch: 26 [2304/46200]	Loss: 0.4132	LR: 0.020000
Training Epoch: 26 [2560/46200]	Loss: 0.5034	LR: 0.020000
Training Epoch: 26 [2816/46200]	Loss: 0.5060	LR: 0.020000
Training Epoch: 26 [3072/46200]	Loss: 0.5043	LR: 0.020000
Training Epoch: 26 [3328/46200]	Loss: 0.5184	LR: 0.020000
Training Epoch: 26 [3584/46200]	Loss: 0.4610	LR: 0.020000
Training Epoch: 26 [3840/46200]	Loss: 0.4182	LR: 0.020000
Training Epoch: 26 [4096/46200]	Loss: 0.5166	LR: 0.020000
Training Epoch: 26 [4352/46200]	Loss: 0.6173	LR: 0.020000
Training Epoch: 26 [4608/46200]	Loss: 0.5358	LR: 0.020000
Training Epoch: 26 [4864/46200]	Loss: 0.5953	LR: 0.020000
Training Epoch: 26 [5120/46200]	Loss: 0.5341	LR: 0.020000
Training Epoch: 26 [5376/46200]	Loss: 0.5918	LR: 0.020000
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Training Epoch: 26 [5888/46200]	Loss: 0.5865	LR: 0.020000
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Training Epoch: 26 [8192/46200]	Loss: 0.5291	LR: 0.020000
Training Epoch: 26 [8448/46200]	Loss: 0.5753	LR: 0.020000
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Training Epoch: 26 [8960/46200]	Loss: 0.5177	LR: 0.020000
Training Epoch: 26 [9216/46200]	Loss: 0.4657	LR: 0.020000
Training Epoch: 26 [9472/46200]	Loss: 0.4266	LR: 0.020000
Training Epoch: 26 [9728/46200]	Loss: 0.4510	LR: 0.020000
Training Epoch: 26 [9984/46200]	Loss: 0.4833	LR: 0.020000
Training Epoch: 26 [10240/46200]	Loss: 0.6449	LR: 0.020000
Training Epoch: 26 [10496/46200]	Loss: 0.5747	LR: 0.020000
Training Epoch: 26 [10752/46200]	Loss: 0.5033	LR: 0.020000
Training Epoch: 26 [11008/46200]	Loss: 0.5314	LR: 0.020000
Training Epoch: 26 [11264/46200]	Loss: 0.6525	LR: 0.020000
Training Epoch: 26 [11520/46200]	Loss: 0.4626	LR: 0.020000
Training Epoch: 26 [11776/46200]	Loss: 0.4190	LR: 0.020000
Training Epoch: 26 [12032/46200]	Loss: 0.5082	LR: 0.020000
Training Epoch: 26 [12288/46200]	Loss: 0.6409	LR: 0.020000
Training Epoch: 26 [12544/46200]	Loss: 0.5282	LR: 0.020000
Training Epoch: 26 [12800/46200]	Loss: 0.5223	LR: 0.020000
Training Epoch: 26 [13056/46200]	Loss: 0.5005	LR: 0.020000
Training Epoch: 26 [13312/46200]	Loss: 0.6050	LR: 0.020000
Training Epoch: 26 [13568/46200]	Loss: 0.5969	LR: 0.020000
Training Epoch: 26 [13824/46200]	Loss: 0.5321	LR: 0.020000
Training Epoch: 26 [14080/46200]	Loss: 0.4888	LR: 0.020000
Training Epoch: 26 [14336/46200]	Loss: 0.4385	LR: 0.020000
Training Epoch: 26 [14592/46200]	Loss: 0.5101	LR: 0.020000
Training Epoch: 26 [14848/46200]	Loss: 0.5589	LR: 0.020000
Training Epoch: 26 [15104/46200]	Loss: 0.5727	LR: 0.020000
Training Epoch: 26 [15360/46200]	Loss: 0.4164	LR: 0.020000
Training Epoch: 26 [15616/46200]	Loss: 0.5439	LR: 0.020000
Training Epoch: 26 [15872/46200]	Loss: 0.5326	LR: 0.020000
Training Epoch: 26 [16128/46200]	Loss: 0.5115	LR: 0.020000
Training Epoch: 26 [16384/46200]	Loss: 0.5451	LR: 0.020000
Training Epoch: 26 [16640/46200]	Loss: 0.4396	LR: 0.020000
Training Epoch: 26 [16896/46200]	Loss: 0.4228	LR: 0.020000
Training Epoch: 26 [17152/46200]	Loss: 0.4369	LR: 0.020000
Training Epoch: 26 [17408/46200]	Loss: 0.5356	LR: 0.020000
Training Epoch: 26 [17664/46200]	Loss: 0.5638	LR: 0.020000
Training Epoch: 26 [17920/46200]	Loss: 0.5060	LR: 0.020000
Training Epoch: 26 [18176/46200]	Loss: 0.5707	LR: 0.020000
Training Epoch: 26 [18432/46200]	Loss: 0.5594	LR: 0.020000
Training Epoch: 26 [18688/46200]	Loss: 0.4836	LR: 0.020000
Training Epoch: 26 [18944/46200]	Loss: 0.5596	LR: 0.020000
Training Epoch: 26 [19200/46200]	Loss: 0.5668	LR: 0.020000
Training Epoch: 26 [19456/46200]	Loss: 0.6277	LR: 0.020000
Training Epoch: 26 [19712/46200]	Loss: 0.6009	LR: 0.020000
Training Epoch: 26 [19968/46200]	Loss: 0.5391	LR: 0.020000
Training Epoch: 26 [20224/46200]	Loss: 0.4785	LR: 0.020000
Training Epoch: 26 [20480/46200]	Loss: 0.6879	LR: 0.020000
Training Epoch: 26 [20736/46200]	Loss: 0.4955	LR: 0.020000
Training Epoch: 26 [20992/46200]	Loss: 0.5478	LR: 0.020000
Training Epoch: 26 [21248/46200]	Loss: 0.5396	LR: 0.020000
Training Epoch: 26 [21504/46200]	Loss: 0.5603	LR: 0.020000
Training Epoch: 26 [21760/46200]	Loss: 0.5827	LR: 0.020000
Training Epoch: 26 [22016/46200]	Loss: 0.5322	LR: 0.020000
Training Epoch: 26 [22272/46200]	Loss: 0.4881	LR: 0.020000
Training Epoch: 26 [22528/46200]	Loss: 0.5240	LR: 0.020000
Training Epoch: 26 [22784/46200]	Loss: 0.6488	LR: 0.020000
Training Epoch: 26 [23040/46200]	Loss: 0.4899	LR: 0.020000
Training Epoch: 26 [23296/46200]	Loss: 0.5546	LR: 0.020000
Training Epoch: 26 [23552/46200]	Loss: 0.5086	LR: 0.020000
Training Epoch: 26 [23808/46200]	Loss: 0.6732	LR: 0.020000
Training Epoch: 26 [24064/46200]	Loss: 0.4987	LR: 0.020000
Training Epoch: 26 [24320/46200]	Loss: 0.5668	LR: 0.020000
Training Epoch: 26 [24576/46200]	Loss: 0.5610	LR: 0.020000
Training Epoch: 26 [24832/46200]	Loss: 0.6067	LR: 0.020000
Training Epoch: 26 [25088/46200]	Loss: 0.5815	LR: 0.020000
Training Epoch: 26 [25344/46200]	Loss: 0.6244	LR: 0.020000
Training Epoch: 26 [25600/46200]	Loss: 0.6230	LR: 0.020000
Training Epoch: 26 [25856/46200]	Loss: 0.4731	LR: 0.020000
Training Epoch: 26 [26112/46200]	Loss: 0.5020	LR: 0.020000
Training Epoch: 26 [26368/46200]	Loss: 0.5439	LR: 0.020000
Training Epoch: 26 [26624/46200]	Loss: 0.5342	LR: 0.020000
Training Epoch: 26 [26880/46200]	Loss: 0.5262	LR: 0.020000
Training Epoch: 26 [27136/46200]	Loss: 0.4180	LR: 0.020000
Training Epoch: 26 [27392/46200]	Loss: 0.5510	LR: 0.020000
Training Epoch: 26 [27648/46200]	Loss: 0.4557	LR: 0.020000
Training Epoch: 26 [27904/46200]	Loss: 0.5384	LR: 0.020000
Training Epoch: 26 [28160/46200]	Loss: 0.5631	LR: 0.020000
Training Epoch: 26 [28416/46200]	Loss: 0.5280	LR: 0.020000
Training Epoch: 26 [28672/46200]	Loss: 0.5064	LR: 0.020000
Training Epoch: 26 [28928/46200]	Loss: 0.5098	LR: 0.020000
Training Epoch: 26 [29184/46200]	Loss: 0.6079	LR: 0.020000
Training Epoch: 26 [29440/46200]	Loss: 0.5605	LR: 0.020000
Training Epoch: 26 [29696/46200]	Loss: 0.5819	LR: 0.020000
Training Epoch: 26 [29952/46200]	Loss: 0.5352	LR: 0.020000
Training Epoch: 26 [30208/46200]	Loss: 0.6206	LR: 0.020000
Training Epoch: 26 [30464/46200]	Loss: 0.4973	LR: 0.020000
Training Epoch: 26 [30720/46200]	Loss: 0.6548	LR: 0.020000
Training Epoch: 26 [30976/46200]	Loss: 0.5784	LR: 0.020000
Training Epoch: 26 [31232/46200]	Loss: 0.4766	LR: 0.020000
Training Epoch: 26 [31488/46200]	Loss: 0.6156	LR: 0.020000
Training Epoch: 26 [31744/46200]	Loss: 0.5942	LR: 0.020000
Training Epoch: 26 [32000/46200]	Loss: 0.5053	LR: 0.020000
Training Epoch: 26 [32256/46200]	Loss: 0.5535	LR: 0.020000
Training Epoch: 26 [32512/46200]	Loss: 0.5365	LR: 0.020000
Training Epoch: 26 [32768/46200]	Loss: 0.4351	LR: 0.020000
Training Epoch: 26 [33024/46200]	Loss: 0.5767	LR: 0.020000
Training Epoch: 26 [33280/46200]	Loss: 0.5863	LR: 0.020000
Training Epoch: 26 [33536/46200]	Loss: 0.5229	LR: 0.020000
Training Epoch: 26 [33792/46200]	Loss: 0.6370	LR: 0.020000
Training Epoch: 26 [34048/46200]	Loss: 0.5645	LR: 0.020000
Training Epoch: 26 [34304/46200]	Loss: 0.5391	LR: 0.020000
Training Epoch: 26 [34560/46200]	Loss: 0.5402	LR: 0.020000
Training Epoch: 26 [34816/46200]	Loss: 0.6094	LR: 0.020000
Training Epoch: 26 [35072/46200]	Loss: 0.5003	LR: 0.020000
Training Epoch: 26 [35328/46200]	Loss: 0.5516	LR: 0.020000
Training Epoch: 26 [35584/46200]	Loss: 0.6293	LR: 0.020000
Training Epoch: 26 [35840/46200]	Loss: 0.5324	LR: 0.020000
Training Epoch: 26 [36096/46200]	Loss: 0.5733	LR: 0.020000
Training Epoch: 26 [36352/46200]	Loss: 0.5457	LR: 0.020000
Training Epoch: 26 [36608/46200]	Loss: 0.4737	LR: 0.020000
Training Epoch: 26 [36864/46200]	Loss: 0.6081	LR: 0.020000
Training Epoch: 26 [37120/46200]	Loss: 0.5748	LR: 0.020000
Training Epoch: 26 [37376/46200]	Loss: 0.4555	LR: 0.020000
Training Epoch: 26 [37632/46200]	Loss: 0.4965	LR: 0.020000
Training Epoch: 26 [37888/46200]	Loss: 0.5442	LR: 0.020000
Training Epoch: 26 [38144/46200]	Loss: 0.5423	LR: 0.020000
Training Epoch: 26 [38400/46200]	Loss: 0.5689	LR: 0.020000
Training Epoch: 26 [38656/46200]	Loss: 0.6050	LR: 0.020000
Training Epoch: 26 [38912/46200]	Loss: 0.5386	LR: 0.020000
Training Epoch: 26 [39168/46200]	Loss: 0.5544	LR: 0.020000
Training Epoch: 26 [39424/46200]	Loss: 0.5031	LR: 0.020000
Training Epoch: 26 [39680/46200]	Loss: 0.5306	LR: 0.020000
Training Epoch: 26 [39936/46200]	Loss: 0.5712	LR: 0.020000
Training Epoch: 26 [40192/46200]	Loss: 0.5385	LR: 0.020000
Training Epoch: 26 [40448/46200]	Loss: 0.4658	LR: 0.020000
Training Epoch: 26 [40704/46200]	Loss: 0.6744	LR: 0.020000
Training Epoch: 26 [40960/46200]	Loss: 0.6751	LR: 0.020000
Training Epoch: 26 [41216/46200]	Loss: 0.6089	LR: 0.020000
Training Epoch: 26 [41472/46200]	Loss: 0.4985	LR: 0.020000
Training Epoch: 26 [41728/46200]	Loss: 0.5897	LR: 0.020000
Training Epoch: 26 [41984/46200]	Loss: 0.6375	LR: 0.020000
Training Epoch: 26 [42240/46200]	Loss: 0.6892	LR: 0.020000
Training Epoch: 26 [42496/46200]	Loss: 0.5510	LR: 0.020000
Training Epoch: 26 [42752/46200]	Loss: 0.6420	LR: 0.020000
Training Epoch: 26 [43008/46200]	Loss: 0.5178	LR: 0.020000
Training Epoch: 26 [43264/46200]	Loss: 0.5820	LR: 0.020000
Training Epoch: 26 [43520/46200]	Loss: 0.5256	LR: 0.020000
Training Epoch: 26 [43776/46200]	Loss: 0.6334	LR: 0.020000
Training Epoch: 26 [44032/46200]	Loss: 0.5567	LR: 0.020000
Training Epoch: 26 [44288/46200]	Loss: 0.4761	LR: 0.020000
Training Epoch: 26 [44544/46200]	Loss: 0.5522	LR: 0.020000
Training Epoch: 26 [44800/46200]	Loss: 0.5036	LR: 0.020000
Training Epoch: 26 [45056/46200]	Loss: 0.5295	LR: 0.020000
Training Epoch: 26 [45312/46200]	Loss: 0.5049	LR: 0.020000
Training Epoch: 26 [45568/46200]	Loss: 0.5494	LR: 0.020000
Training Epoch: 26 [45824/46200]	Loss: 0.6465	LR: 0.020000
Training Epoch: 26 [46080/46200]	Loss: 0.6757	LR: 0.020000
Training Epoch: 26 [46200/46200]	Loss: 0.5075	LR: 0.020000
Epoch 26 - Average Train Loss: 0.5425, Train Accuracy: 0.8227
Epoch 26 training time consumed: 24.95s
Evaluating Network.....
Test set: Epoch: 26, Average loss: 0.0037, Accuracy: 0.7284, Time consumed:0.86s
Training Epoch: 27 [256/46200]	Loss: 0.4220	LR: 0.020000
Training Epoch: 27 [512/46200]	Loss: 0.4966	LR: 0.020000
Training Epoch: 27 [768/46200]	Loss: 0.4457	LR: 0.020000
Training Epoch: 27 [1024/46200]	Loss: 0.4028	LR: 0.020000
Training Epoch: 27 [1280/46200]	Loss: 0.4378	LR: 0.020000
Training Epoch: 27 [1536/46200]	Loss: 0.5463	LR: 0.020000
Training Epoch: 27 [1792/46200]	Loss: 0.4733	LR: 0.020000
Training Epoch: 27 [2048/46200]	Loss: 0.5247	LR: 0.020000
Training Epoch: 27 [2304/46200]	Loss: 0.5008	LR: 0.020000
Training Epoch: 27 [2560/46200]	Loss: 0.4402	LR: 0.020000
Training Epoch: 27 [2816/46200]	Loss: 0.5246	LR: 0.020000
Training Epoch: 27 [3072/46200]	Loss: 0.3683	LR: 0.020000
Training Epoch: 27 [3328/46200]	Loss: 0.4477	LR: 0.020000
Training Epoch: 27 [3584/46200]	Loss: 0.4761	LR: 0.020000
Training Epoch: 27 [3840/46200]	Loss: 0.4788	LR: 0.020000
Training Epoch: 27 [4096/46200]	Loss: 0.4723	LR: 0.020000
Training Epoch: 27 [4352/46200]	Loss: 0.4619	LR: 0.020000
Training Epoch: 27 [4608/46200]	Loss: 0.5355	LR: 0.020000
Training Epoch: 27 [4864/46200]	Loss: 0.5235	LR: 0.020000
Training Epoch: 27 [5120/46200]	Loss: 0.4626	LR: 0.020000
Training Epoch: 27 [5376/46200]	Loss: 0.5799	LR: 0.020000
Training Epoch: 27 [5632/46200]	Loss: 0.4845	LR: 0.020000
Training Epoch: 27 [5888/46200]	Loss: 0.5039	LR: 0.020000
Training Epoch: 27 [6144/46200]	Loss: 0.4185	LR: 0.020000
Training Epoch: 27 [6400/46200]	Loss: 0.5959	LR: 0.020000
Training Epoch: 27 [6656/46200]	Loss: 0.4267	LR: 0.020000
Training Epoch: 27 [6912/46200]	Loss: 0.5146	LR: 0.020000
Training Epoch: 27 [7168/46200]	Loss: 0.5891	LR: 0.020000
Training Epoch: 27 [7424/46200]	Loss: 0.5772	LR: 0.020000
Training Epoch: 27 [7680/46200]	Loss: 0.4280	LR: 0.020000
Training Epoch: 27 [7936/46200]	Loss: 0.5805	LR: 0.020000
Training Epoch: 27 [8192/46200]	Loss: 0.6003	LR: 0.020000
Training Epoch: 27 [8448/46200]	Loss: 0.5173	LR: 0.020000
Training Epoch: 27 [8704/46200]	Loss: 0.5360	LR: 0.020000
Training Epoch: 27 [8960/46200]	Loss: 0.5982	LR: 0.020000
Training Epoch: 27 [9216/46200]	Loss: 0.5672	LR: 0.020000
Training Epoch: 27 [9472/46200]	Loss: 0.5424	LR: 0.020000
Training Epoch: 27 [9728/46200]	Loss: 0.6069	LR: 0.020000
Training Epoch: 27 [9984/46200]	Loss: 0.5213	LR: 0.020000
Training Epoch: 27 [10240/46200]	Loss: 0.5521	LR: 0.020000
Training Epoch: 27 [10496/46200]	Loss: 0.5186	LR: 0.020000
Training Epoch: 27 [10752/46200]	Loss: 0.4707	LR: 0.020000
Training Epoch: 27 [11008/46200]	Loss: 0.5566	LR: 0.020000
Training Epoch: 27 [11264/46200]	Loss: 0.5320	LR: 0.020000
Training Epoch: 27 [11520/46200]	Loss: 0.4743	LR: 0.020000
Training Epoch: 27 [11776/46200]	Loss: 0.5970	LR: 0.020000
Training Epoch: 27 [12032/46200]	Loss: 0.4520	LR: 0.020000
Training Epoch: 27 [12288/46200]	Loss: 0.5266	LR: 0.020000
Training Epoch: 27 [12544/46200]	Loss: 0.4587	LR: 0.020000
Training Epoch: 27 [12800/46200]	Loss: 0.5324	LR: 0.020000
Training Epoch: 27 [13056/46200]	Loss: 0.4439	LR: 0.020000
Training Epoch: 27 [13312/46200]	Loss: 0.5961	LR: 0.020000
Training Epoch: 27 [13568/46200]	Loss: 0.5238	LR: 0.020000
Training Epoch: 27 [13824/46200]	Loss: 0.4913	LR: 0.020000
Training Epoch: 27 [14080/46200]	Loss: 0.5521	LR: 0.020000
Training Epoch: 27 [14336/46200]	Loss: 0.4792	LR: 0.020000
Training Epoch: 27 [14592/46200]	Loss: 0.5893	LR: 0.020000
Training Epoch: 27 [14848/46200]	Loss: 0.5664	LR: 0.020000
Training Epoch: 27 [15104/46200]	Loss: 0.4893	LR: 0.020000
Training Epoch: 27 [15360/46200]	Loss: 0.3862	LR: 0.020000
Training Epoch: 27 [15616/46200]	Loss: 0.5821	LR: 0.020000
Training Epoch: 27 [15872/46200]	Loss: 0.4632	LR: 0.020000
Training Epoch: 27 [16128/46200]	Loss: 0.5445	LR: 0.020000
Training Epoch: 27 [16384/46200]	Loss: 0.4513	LR: 0.020000
Training Epoch: 27 [16640/46200]	Loss: 0.5576	LR: 0.020000
Training Epoch: 27 [16896/46200]	Loss: 0.4123	LR: 0.020000
Training Epoch: 27 [17152/46200]	Loss: 0.5189	LR: 0.020000
Training Epoch: 27 [17408/46200]	Loss: 0.5432	LR: 0.020000
Training Epoch: 27 [17664/46200]	Loss: 0.5843	LR: 0.020000
Training Epoch: 27 [17920/46200]	Loss: 0.6301	LR: 0.020000
Training Epoch: 27 [18176/46200]	Loss: 0.4625	LR: 0.020000
Training Epoch: 27 [18432/46200]	Loss: 0.5192	LR: 0.020000
Training Epoch: 27 [18688/46200]	Loss: 0.4584	LR: 0.020000
Training Epoch: 27 [18944/46200]	Loss: 0.5580	LR: 0.020000
Training Epoch: 27 [19200/46200]	Loss: 0.6576	LR: 0.020000
Training Epoch: 27 [19456/46200]	Loss: 0.4837	LR: 0.020000
Training Epoch: 27 [19712/46200]	Loss: 0.4931	LR: 0.020000
Training Epoch: 27 [19968/46200]	Loss: 0.5121	LR: 0.020000
Training Epoch: 27 [20224/46200]	Loss: 0.5948	LR: 0.020000
Training Epoch: 27 [20480/46200]	Loss: 0.6334	LR: 0.020000
Training Epoch: 27 [20736/46200]	Loss: 0.5366	LR: 0.020000
Training Epoch: 27 [20992/46200]	Loss: 0.5097	LR: 0.020000
Training Epoch: 27 [21248/46200]	Loss: 0.5460	LR: 0.020000
Training Epoch: 27 [21504/46200]	Loss: 0.5166	LR: 0.020000
Training Epoch: 27 [21760/46200]	Loss: 0.5015	LR: 0.020000
Training Epoch: 27 [22016/46200]	Loss: 0.6110	LR: 0.020000
Training Epoch: 27 [22272/46200]	Loss: 0.5045	LR: 0.020000
Training Epoch: 27 [22528/46200]	Loss: 0.5338	LR: 0.020000
Training Epoch: 27 [22784/46200]	Loss: 0.4326	LR: 0.020000
Training Epoch: 27 [23040/46200]	Loss: 0.5309	LR: 0.020000
Training Epoch: 27 [23296/46200]	Loss: 0.5467	LR: 0.020000
Training Epoch: 27 [23552/46200]	Loss: 0.5887	LR: 0.020000
Training Epoch: 27 [23808/46200]	Loss: 0.6048	LR: 0.020000
Training Epoch: 27 [24064/46200]	Loss: 0.5525	LR: 0.020000
Training Epoch: 27 [24320/46200]	Loss: 0.4857	LR: 0.020000
Training Epoch: 27 [24576/46200]	Loss: 0.5657	LR: 0.020000
Training Epoch: 27 [24832/46200]	Loss: 0.4276	LR: 0.020000
Training Epoch: 27 [25088/46200]	Loss: 0.6153	LR: 0.020000
Training Epoch: 27 [25344/46200]	Loss: 0.5475	LR: 0.020000
Training Epoch: 27 [25600/46200]	Loss: 0.5097	LR: 0.020000
Training Epoch: 27 [25856/46200]	Loss: 0.4555	LR: 0.020000
Training Epoch: 27 [26112/46200]	Loss: 0.5701	LR: 0.020000
Training Epoch: 27 [26368/46200]	Loss: 0.6770	LR: 0.020000
Training Epoch: 27 [26624/46200]	Loss: 0.5704	LR: 0.020000
Training Epoch: 27 [26880/46200]	Loss: 0.5183	LR: 0.020000
Training Epoch: 27 [27136/46200]	Loss: 0.5536	LR: 0.020000
Training Epoch: 27 [27392/46200]	Loss: 0.5115	LR: 0.020000
Training Epoch: 27 [27648/46200]	Loss: 0.5407	LR: 0.020000
Training Epoch: 27 [27904/46200]	Loss: 0.4642	LR: 0.020000
Training Epoch: 27 [28160/46200]	Loss: 0.4922	LR: 0.020000
Training Epoch: 27 [28416/46200]	Loss: 0.5803	LR: 0.020000
Training Epoch: 27 [28672/46200]	Loss: 0.5387	LR: 0.020000
Training Epoch: 27 [28928/46200]	Loss: 0.5301	LR: 0.020000
Training Epoch: 27 [29184/46200]	Loss: 0.5411	LR: 0.020000
Training Epoch: 27 [29440/46200]	Loss: 0.6621	LR: 0.020000
Training Epoch: 27 [29696/46200]	Loss: 0.4784	LR: 0.020000
Training Epoch: 27 [29952/46200]	Loss: 0.5551	LR: 0.020000
Training Epoch: 27 [30208/46200]	Loss: 0.4133	LR: 0.020000
Training Epoch: 27 [30464/46200]	Loss: 0.5852	LR: 0.020000
Training Epoch: 27 [30720/46200]	Loss: 0.4668	LR: 0.020000
Training Epoch: 27 [30976/46200]	Loss: 0.5105	LR: 0.020000
Training Epoch: 27 [31232/46200]	Loss: 0.5078	LR: 0.020000
Training Epoch: 27 [31488/46200]	Loss: 0.4801	LR: 0.020000
Training Epoch: 27 [31744/46200]	Loss: 0.5857	LR: 0.020000
Training Epoch: 27 [32000/46200]	Loss: 0.6190	LR: 0.020000
Training Epoch: 27 [32256/46200]	Loss: 0.6019	LR: 0.020000
Training Epoch: 27 [32512/46200]	Loss: 0.6206	LR: 0.020000
Training Epoch: 27 [32768/46200]	Loss: 0.5701	LR: 0.020000
Training Epoch: 27 [33024/46200]	Loss: 0.5309	LR: 0.020000
Training Epoch: 27 [33280/46200]	Loss: 0.5716	LR: 0.020000
Training Epoch: 27 [33536/46200]	Loss: 0.5617	LR: 0.020000
Training Epoch: 27 [33792/46200]	Loss: 0.5882	LR: 0.020000
Training Epoch: 27 [34048/46200]	Loss: 0.4591	LR: 0.020000
Training Epoch: 27 [34304/46200]	Loss: 0.4672	LR: 0.020000
Training Epoch: 27 [34560/46200]	Loss: 0.6132	LR: 0.020000
Training Epoch: 27 [34816/46200]	Loss: 0.5111	LR: 0.020000
Training Epoch: 27 [35072/46200]	Loss: 0.4850	LR: 0.020000
Training Epoch: 27 [35328/46200]	Loss: 0.5998	LR: 0.020000
Training Epoch: 27 [35584/46200]	Loss: 0.4869	LR: 0.020000
Training Epoch: 27 [35840/46200]	Loss: 0.6564	LR: 0.020000
Training Epoch: 27 [36096/46200]	Loss: 0.6086	LR: 0.020000
Training Epoch: 27 [36352/46200]	Loss: 0.4933	LR: 0.020000
Training Epoch: 27 [36608/46200]	Loss: 0.5555	LR: 0.020000
Training Epoch: 27 [36864/46200]	Loss: 0.5296	LR: 0.020000
Training Epoch: 27 [37120/46200]	Loss: 0.5885	LR: 0.020000
Training Epoch: 27 [37376/46200]	Loss: 0.5416	LR: 0.020000
Training Epoch: 27 [37632/46200]	Loss: 0.6111	LR: 0.020000
Training Epoch: 27 [37888/46200]	Loss: 0.5402	LR: 0.020000
Training Epoch: 27 [38144/46200]	Loss: 0.5911	LR: 0.020000
Training Epoch: 27 [38400/46200]	Loss: 0.5579	LR: 0.020000
Training Epoch: 27 [38656/46200]	Loss: 0.5072	LR: 0.020000
Training Epoch: 27 [38912/46200]	Loss: 0.5716	LR: 0.020000
Training Epoch: 27 [39168/46200]	Loss: 0.4918	LR: 0.020000
Training Epoch: 27 [39424/46200]	Loss: 0.5884	LR: 0.020000
Training Epoch: 27 [39680/46200]	Loss: 0.4643	LR: 0.020000
Training Epoch: 27 [39936/46200]	Loss: 0.5527	LR: 0.020000
Training Epoch: 27 [40192/46200]	Loss: 0.6298	LR: 0.020000
Training Epoch: 27 [40448/46200]	Loss: 0.4737	LR: 0.020000
Training Epoch: 27 [40704/46200]	Loss: 0.5817	LR: 0.020000
Training Epoch: 27 [40960/46200]	Loss: 0.5602	LR: 0.020000
Training Epoch: 27 [41216/46200]	Loss: 0.4790	LR: 0.020000
Training Epoch: 27 [41472/46200]	Loss: 0.4311	LR: 0.020000
Training Epoch: 27 [41728/46200]	Loss: 0.6744	LR: 0.020000
Training Epoch: 27 [41984/46200]	Loss: 0.5414	LR: 0.020000
Training Epoch: 27 [42240/46200]	Loss: 0.5331	LR: 0.020000
Training Epoch: 27 [42496/46200]	Loss: 0.6282	LR: 0.020000
Training Epoch: 27 [42752/46200]	Loss: 0.4871	LR: 0.020000
Training Epoch: 27 [43008/46200]	Loss: 0.6019	LR: 0.020000
Training Epoch: 27 [43264/46200]	Loss: 0.5719	LR: 0.020000
Training Epoch: 27 [43520/46200]	Loss: 0.6655	LR: 0.020000
Training Epoch: 27 [43776/46200]	Loss: 0.5827	LR: 0.020000
Training Epoch: 27 [44032/46200]	Loss: 0.6179	LR: 0.020000
Training Epoch: 27 [44288/46200]	Loss: 0.6033	LR: 0.020000
Training Epoch: 27 [44544/46200]	Loss: 0.6878	LR: 0.020000
Training Epoch: 27 [44800/46200]	Loss: 0.6034	LR: 0.020000
Training Epoch: 27 [45056/46200]	Loss: 0.5776	LR: 0.020000
Training Epoch: 27 [45312/46200]	Loss: 0.5135	LR: 0.020000
Training Epoch: 27 [45568/46200]	Loss: 0.7201	LR: 0.020000
Training Epoch: 27 [45824/46200]	Loss: 0.5533	LR: 0.020000
Training Epoch: 27 [46080/46200]	Loss: 0.4728	LR: 0.020000
Training Epoch: 27 [46200/46200]	Loss: 0.7174	LR: 0.020000
Epoch 27 - Average Train Loss: 0.5342, Train Accuracy: 0.8269
Epoch 27 training time consumed: 24.95s
Evaluating Network.....
Test set: Epoch: 27, Average loss: 0.0036, Accuracy: 0.7344, Time consumed:0.91s
Training Epoch: 28 [256/46200]	Loss: 0.5845	LR: 0.020000
Training Epoch: 28 [512/46200]	Loss: 0.4515	LR: 0.020000
Training Epoch: 28 [768/46200]	Loss: 0.5135	LR: 0.020000
Training Epoch: 28 [1024/46200]	Loss: 0.4770	LR: 0.020000
Training Epoch: 28 [1280/46200]	Loss: 0.5644	LR: 0.020000
Training Epoch: 28 [1536/46200]	Loss: 0.5356	LR: 0.020000
Training Epoch: 28 [1792/46200]	Loss: 0.5271	LR: 0.020000
Training Epoch: 28 [2048/46200]	Loss: 0.4425	LR: 0.020000
Training Epoch: 28 [2304/46200]	Loss: 0.5486	LR: 0.020000
Training Epoch: 28 [2560/46200]	Loss: 0.5332	LR: 0.020000
Training Epoch: 28 [2816/46200]	Loss: 0.6192	LR: 0.020000
Training Epoch: 28 [3072/46200]	Loss: 0.5506	LR: 0.020000
Training Epoch: 28 [3328/46200]	Loss: 0.5531	LR: 0.020000
Training Epoch: 28 [3584/46200]	Loss: 0.6213	LR: 0.020000
Training Epoch: 28 [3840/46200]	Loss: 0.4833	LR: 0.020000
Training Epoch: 28 [4096/46200]	Loss: 0.5165	LR: 0.020000
Training Epoch: 28 [4352/46200]	Loss: 0.3873	LR: 0.020000
Training Epoch: 28 [4608/46200]	Loss: 0.4615	LR: 0.020000
Training Epoch: 28 [4864/46200]	Loss: 0.5668	LR: 0.020000
Training Epoch: 28 [5120/46200]	Loss: 0.4753	LR: 0.020000
Training Epoch: 28 [5376/46200]	Loss: 0.4853	LR: 0.020000
Training Epoch: 28 [5632/46200]	Loss: 0.5680	LR: 0.020000
Training Epoch: 28 [5888/46200]	Loss: 0.6057	LR: 0.020000
Training Epoch: 28 [6144/46200]	Loss: 0.5901	LR: 0.020000
Training Epoch: 28 [6400/46200]	Loss: 0.5020	LR: 0.020000
Training Epoch: 28 [6656/46200]	Loss: 0.4674	LR: 0.020000
Training Epoch: 28 [6912/46200]	Loss: 0.5195	LR: 0.020000
Training Epoch: 28 [7168/46200]	Loss: 0.5216	LR: 0.020000
Training Epoch: 28 [7424/46200]	Loss: 0.5112	LR: 0.020000
Training Epoch: 28 [7680/46200]	Loss: 0.4799	LR: 0.020000
Training Epoch: 28 [7936/46200]	Loss: 0.5775	LR: 0.020000
Training Epoch: 28 [8192/46200]	Loss: 0.5392	LR: 0.020000
Training Epoch: 28 [8448/46200]	Loss: 0.4805	LR: 0.020000
Training Epoch: 28 [8704/46200]	Loss: 0.4591	LR: 0.020000
Training Epoch: 28 [8960/46200]	Loss: 0.5251	LR: 0.020000
Training Epoch: 28 [9216/46200]	Loss: 0.5062	LR: 0.020000
Training Epoch: 28 [9472/46200]	Loss: 0.6179	LR: 0.020000
Training Epoch: 28 [9728/46200]	Loss: 0.4701	LR: 0.020000
Training Epoch: 28 [9984/46200]	Loss: 0.4946	LR: 0.020000
Training Epoch: 28 [10240/46200]	Loss: 0.6019	LR: 0.020000
Training Epoch: 28 [10496/46200]	Loss: 0.4896	LR: 0.020000
Training Epoch: 28 [10752/46200]	Loss: 0.4926	LR: 0.020000
Training Epoch: 28 [11008/46200]	Loss: 0.5091	LR: 0.020000
Training Epoch: 28 [11264/46200]	Loss: 0.5998	LR: 0.020000
Training Epoch: 28 [11520/46200]	Loss: 0.4681	LR: 0.020000
Training Epoch: 28 [11776/46200]	Loss: 0.4906	LR: 0.020000
Training Epoch: 28 [12032/46200]	Loss: 0.4645	LR: 0.020000
Training Epoch: 28 [12288/46200]	Loss: 0.5326	LR: 0.020000
Training Epoch: 28 [12544/46200]	Loss: 0.5729	LR: 0.020000
Training Epoch: 28 [12800/46200]	Loss: 0.5533	LR: 0.020000
Training Epoch: 28 [13056/46200]	Loss: 0.5204	LR: 0.020000
Training Epoch: 28 [13312/46200]	Loss: 0.5105	LR: 0.020000
Training Epoch: 28 [13568/46200]	Loss: 0.4881	LR: 0.020000
Training Epoch: 28 [13824/46200]	Loss: 0.5148	LR: 0.020000
Training Epoch: 28 [14080/46200]	Loss: 0.5551	LR: 0.020000
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Training Epoch: 28 [15616/46200]	Loss: 0.5133	LR: 0.020000
Training Epoch: 28 [15872/46200]	Loss: 0.4958	LR: 0.020000
Training Epoch: 28 [16128/46200]	Loss: 0.5023	LR: 0.020000
Training Epoch: 28 [16384/46200]	Loss: 0.5269	LR: 0.020000
Training Epoch: 28 [16640/46200]	Loss: 0.6099	LR: 0.020000
Training Epoch: 28 [16896/46200]	Loss: 0.5077	LR: 0.020000
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Training Epoch: 28 [17664/46200]	Loss: 0.5087	LR: 0.020000
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Training Epoch: 28 [18176/46200]	Loss: 0.4655	LR: 0.020000
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Training Epoch: 28 [18688/46200]	Loss: 0.5231	LR: 0.020000
Training Epoch: 28 [18944/46200]	Loss: 0.5237	LR: 0.020000
Training Epoch: 28 [19200/46200]	Loss: 0.5561	LR: 0.020000
Training Epoch: 28 [19456/46200]	Loss: 0.4945	LR: 0.020000
Training Epoch: 28 [19712/46200]	Loss: 0.5188	LR: 0.020000
Training Epoch: 28 [19968/46200]	Loss: 0.4804	LR: 0.020000
Training Epoch: 28 [20224/46200]	Loss: 0.4971	LR: 0.020000
Training Epoch: 28 [20480/46200]	Loss: 0.5203	LR: 0.020000
Training Epoch: 28 [20736/46200]	Loss: 0.5354	LR: 0.020000
Training Epoch: 28 [20992/46200]	Loss: 0.5216	LR: 0.020000
Training Epoch: 28 [21248/46200]	Loss: 0.5809	LR: 0.020000
Training Epoch: 28 [21504/46200]	Loss: 0.4872	LR: 0.020000
Training Epoch: 28 [21760/46200]	Loss: 0.5238	LR: 0.020000
Training Epoch: 28 [22016/46200]	Loss: 0.4724	LR: 0.020000
Training Epoch: 28 [22272/46200]	Loss: 0.5687	LR: 0.020000
Training Epoch: 28 [22528/46200]	Loss: 0.5200	LR: 0.020000
Training Epoch: 28 [22784/46200]	Loss: 0.5228	LR: 0.020000
Training Epoch: 28 [23040/46200]	Loss: 0.4994	LR: 0.020000
Training Epoch: 28 [23296/46200]	Loss: 0.4803	LR: 0.020000
Training Epoch: 28 [23552/46200]	Loss: 0.5361	LR: 0.020000
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Training Epoch: 28 [25600/46200]	Loss: 0.5500	LR: 0.020000
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Training Epoch: 28 [26368/46200]	Loss: 0.5068	LR: 0.020000
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Training Epoch: 28 [26880/46200]	Loss: 0.5627	LR: 0.020000
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Training Epoch: 28 [27904/46200]	Loss: 0.4965	LR: 0.020000
Training Epoch: 28 [28160/46200]	Loss: 0.4879	LR: 0.020000
Training Epoch: 28 [28416/46200]	Loss: 0.5981	LR: 0.020000
Training Epoch: 28 [28672/46200]	Loss: 0.4719	LR: 0.020000
Training Epoch: 28 [28928/46200]	Loss: 0.5062	LR: 0.020000
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Training Epoch: 28 [29440/46200]	Loss: 0.6104	LR: 0.020000
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Training Epoch: 28 [33024/46200]	Loss: 0.5912	LR: 0.020000
Training Epoch: 28 [33280/46200]	Loss: 0.5413	LR: 0.020000
Training Epoch: 28 [33536/46200]	Loss: 0.5830	LR: 0.020000
Training Epoch: 28 [33792/46200]	Loss: 0.4596	LR: 0.020000
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Training Epoch: 28 [34816/46200]	Loss: 0.4639	LR: 0.020000
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Training Epoch: 28 [35328/46200]	Loss: 0.4205	LR: 0.020000
Training Epoch: 28 [35584/46200]	Loss: 0.5484	LR: 0.020000
Training Epoch: 28 [35840/46200]	Loss: 0.5262	LR: 0.020000
Training Epoch: 28 [36096/46200]	Loss: 0.5693	LR: 0.020000
Training Epoch: 28 [36352/46200]	Loss: 0.4257	LR: 0.020000
Training Epoch: 28 [36608/46200]	Loss: 0.6642	LR: 0.020000
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Training Epoch: 28 [37120/46200]	Loss: 0.5541	LR: 0.020000
Training Epoch: 28 [37376/46200]	Loss: 0.5830	LR: 0.020000
Training Epoch: 28 [37632/46200]	Loss: 0.5621	LR: 0.020000
Training Epoch: 28 [37888/46200]	Loss: 0.6424	LR: 0.020000
Training Epoch: 28 [38144/46200]	Loss: 0.4890	LR: 0.020000
Training Epoch: 28 [38400/46200]	Loss: 0.5075	LR: 0.020000
Training Epoch: 28 [38656/46200]	Loss: 0.5618	LR: 0.020000
Training Epoch: 28 [38912/46200]	Loss: 0.5764	LR: 0.020000
Training Epoch: 28 [39168/46200]	Loss: 0.4682	LR: 0.020000
Training Epoch: 28 [39424/46200]	Loss: 0.5205	LR: 0.020000
Training Epoch: 28 [39680/46200]	Loss: 0.4605	LR: 0.020000
Training Epoch: 28 [39936/46200]	Loss: 0.5085	LR: 0.020000
Training Epoch: 28 [40192/46200]	Loss: 0.5730	LR: 0.020000
Training Epoch: 28 [40448/46200]	Loss: 0.5608	LR: 0.020000
Training Epoch: 28 [40704/46200]	Loss: 0.5479	LR: 0.020000
Training Epoch: 28 [40960/46200]	Loss: 0.4685	LR: 0.020000
Training Epoch: 28 [41216/46200]	Loss: 0.5517	LR: 0.020000
Training Epoch: 28 [41472/46200]	Loss: 0.4957	LR: 0.020000
Training Epoch: 28 [41728/46200]	Loss: 0.5746	LR: 0.020000
Training Epoch: 28 [41984/46200]	Loss: 0.5544	LR: 0.020000
Training Epoch: 28 [42240/46200]	Loss: 0.6021	LR: 0.020000
Training Epoch: 28 [42496/46200]	Loss: 0.5972	LR: 0.020000
Training Epoch: 28 [42752/46200]	Loss: 0.5531	LR: 0.020000
Training Epoch: 28 [43008/46200]	Loss: 0.5424	LR: 0.020000
Training Epoch: 28 [43264/46200]	Loss: 0.6112	LR: 0.020000
Training Epoch: 28 [43520/46200]	Loss: 0.6095	LR: 0.020000
Training Epoch: 28 [43776/46200]	Loss: 0.5025	LR: 0.020000
Training Epoch: 28 [44032/46200]	Loss: 0.5610	LR: 0.020000
Training Epoch: 28 [44288/46200]	Loss: 0.5301	LR: 0.020000
Training Epoch: 28 [44544/46200]	Loss: 0.6152	LR: 0.020000
Training Epoch: 28 [44800/46200]	Loss: 0.4954	LR: 0.020000
Training Epoch: 28 [45056/46200]	Loss: 0.5767	LR: 0.020000
Training Epoch: 28 [45312/46200]	Loss: 0.5113	LR: 0.020000
Training Epoch: 28 [45568/46200]	Loss: 0.4864	LR: 0.020000
Training Epoch: 28 [45824/46200]	Loss: 0.6121	LR: 0.020000
Training Epoch: 28 [46080/46200]	Loss: 0.5219	LR: 0.020000
Training Epoch: 28 [46200/46200]	Loss: 0.6251	LR: 0.020000
Epoch 28 - Average Train Loss: 0.5261, Train Accuracy: 0.8272
Epoch 28 training time consumed: 25.13s
Evaluating Network.....
Test set: Epoch: 28, Average loss: 0.0038, Accuracy: 0.7282, Time consumed:0.90s
Training Epoch: 29 [256/46200]	Loss: 0.3840	LR: 0.020000
Training Epoch: 29 [512/46200]	Loss: 0.6062	LR: 0.020000
Training Epoch: 29 [768/46200]	Loss: 0.5281	LR: 0.020000
Training Epoch: 29 [1024/46200]	Loss: 0.4420	LR: 0.020000
Training Epoch: 29 [1280/46200]	Loss: 0.5083	LR: 0.020000
Training Epoch: 29 [1536/46200]	Loss: 0.5021	LR: 0.020000
Training Epoch: 29 [1792/46200]	Loss: 0.5182	LR: 0.020000
Training Epoch: 29 [2048/46200]	Loss: 0.5306	LR: 0.020000
Training Epoch: 29 [2304/46200]	Loss: 0.5000	LR: 0.020000
Training Epoch: 29 [2560/46200]	Loss: 0.5300	LR: 0.020000
Training Epoch: 29 [2816/46200]	Loss: 0.5316	LR: 0.020000
Training Epoch: 29 [3072/46200]	Loss: 0.5160	LR: 0.020000
Training Epoch: 29 [3328/46200]	Loss: 0.4509	LR: 0.020000
Training Epoch: 29 [3584/46200]	Loss: 0.5325	LR: 0.020000
Training Epoch: 29 [3840/46200]	Loss: 0.4877	LR: 0.020000
Training Epoch: 29 [4096/46200]	Loss: 0.5241	LR: 0.020000
Training Epoch: 29 [4352/46200]	Loss: 0.4792	LR: 0.020000
Training Epoch: 29 [4608/46200]	Loss: 0.4602	LR: 0.020000
Training Epoch: 29 [4864/46200]	Loss: 0.3642	LR: 0.020000
Training Epoch: 29 [5120/46200]	Loss: 0.4582	LR: 0.020000
Training Epoch: 29 [5376/46200]	Loss: 0.5323	LR: 0.020000
Training Epoch: 29 [5632/46200]	Loss: 0.4897	LR: 0.020000
Training Epoch: 29 [5888/46200]	Loss: 0.4202	LR: 0.020000
Training Epoch: 29 [6144/46200]	Loss: 0.4987	LR: 0.020000
Training Epoch: 29 [6400/46200]	Loss: 0.4751	LR: 0.020000
Training Epoch: 29 [6656/46200]	Loss: 0.5010	LR: 0.020000
Training Epoch: 29 [6912/46200]	Loss: 0.4284	LR: 0.020000
Training Epoch: 29 [7168/46200]	Loss: 0.5214	LR: 0.020000
Training Epoch: 29 [7424/46200]	Loss: 0.4462	LR: 0.020000
Training Epoch: 29 [7680/46200]	Loss: 0.4589	LR: 0.020000
Training Epoch: 29 [7936/46200]	Loss: 0.5013	LR: 0.020000
Training Epoch: 29 [8192/46200]	Loss: 0.5410	LR: 0.020000
Training Epoch: 29 [8448/46200]	Loss: 0.4190	LR: 0.020000
Training Epoch: 29 [8704/46200]	Loss: 0.4515	LR: 0.020000
Training Epoch: 29 [8960/46200]	Loss: 0.5038	LR: 0.020000
Training Epoch: 29 [9216/46200]	Loss: 0.5535	LR: 0.020000
Training Epoch: 29 [9472/46200]	Loss: 0.4103	LR: 0.020000
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Training Epoch: 29 [9984/46200]	Loss: 0.4225	LR: 0.020000
Training Epoch: 29 [10240/46200]	Loss: 0.4604	LR: 0.020000
Training Epoch: 29 [10496/46200]	Loss: 0.5610	LR: 0.020000
Training Epoch: 29 [10752/46200]	Loss: 0.5692	LR: 0.020000
Training Epoch: 29 [11008/46200]	Loss: 0.5484	LR: 0.020000
Training Epoch: 29 [11264/46200]	Loss: 0.6373	LR: 0.020000
Training Epoch: 29 [11520/46200]	Loss: 0.4646	LR: 0.020000
Training Epoch: 29 [11776/46200]	Loss: 0.5207	LR: 0.020000
Training Epoch: 29 [12032/46200]	Loss: 0.4075	LR: 0.020000
Training Epoch: 29 [12288/46200]	Loss: 0.4535	LR: 0.020000
Training Epoch: 29 [12544/46200]	Loss: 0.4559	LR: 0.020000
Training Epoch: 29 [12800/46200]	Loss: 0.4939	LR: 0.020000
Training Epoch: 29 [13056/46200]	Loss: 0.5001	LR: 0.020000
Training Epoch: 29 [13312/46200]	Loss: 0.4767	LR: 0.020000
Training Epoch: 29 [13568/46200]	Loss: 0.5271	LR: 0.020000
Training Epoch: 29 [13824/46200]	Loss: 0.5104	LR: 0.020000
Training Epoch: 29 [14080/46200]	Loss: 0.4311	LR: 0.020000
Training Epoch: 29 [14336/46200]	Loss: 0.5405	LR: 0.020000
Training Epoch: 29 [14592/46200]	Loss: 0.5797	LR: 0.020000
Training Epoch: 29 [14848/46200]	Loss: 0.5242	LR: 0.020000
Training Epoch: 29 [15104/46200]	Loss: 0.5275	LR: 0.020000
Training Epoch: 29 [15360/46200]	Loss: 0.5801	LR: 0.020000
Training Epoch: 29 [15616/46200]	Loss: 0.4610	LR: 0.020000
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Training Epoch: 29 [16128/46200]	Loss: 0.4715	LR: 0.020000
Training Epoch: 29 [16384/46200]	Loss: 0.5661	LR: 0.020000
Training Epoch: 29 [16640/46200]	Loss: 0.3716	LR: 0.020000
Training Epoch: 29 [16896/46200]	Loss: 0.4347	LR: 0.020000
Training Epoch: 29 [17152/46200]	Loss: 0.5955	LR: 0.020000
Training Epoch: 29 [17408/46200]	Loss: 0.4829	LR: 0.020000
Training Epoch: 29 [17664/46200]	Loss: 0.4788	LR: 0.020000
Training Epoch: 29 [17920/46200]	Loss: 0.4384	LR: 0.020000
Training Epoch: 29 [18176/46200]	Loss: 0.5165	LR: 0.020000
Training Epoch: 29 [18432/46200]	Loss: 0.4714	LR: 0.020000
Training Epoch: 29 [18688/46200]	Loss: 0.4942	LR: 0.020000
Training Epoch: 29 [18944/46200]	Loss: 0.5866	LR: 0.020000
Training Epoch: 29 [19200/46200]	Loss: 0.5051	LR: 0.020000
Training Epoch: 29 [19456/46200]	Loss: 0.4878	LR: 0.020000
Training Epoch: 29 [19712/46200]	Loss: 0.4594	LR: 0.020000
Training Epoch: 29 [19968/46200]	Loss: 0.4732	LR: 0.020000
Training Epoch: 29 [20224/46200]	Loss: 0.4758	LR: 0.020000
Training Epoch: 29 [20480/46200]	Loss: 0.5299	LR: 0.020000
Training Epoch: 29 [20736/46200]	Loss: 0.5332	LR: 0.020000
Training Epoch: 29 [20992/46200]	Loss: 0.5164	LR: 0.020000
Training Epoch: 29 [21248/46200]	Loss: 0.3697	LR: 0.020000
Training Epoch: 29 [21504/46200]	Loss: 0.5769	LR: 0.020000
Training Epoch: 29 [21760/46200]	Loss: 0.5741	LR: 0.020000
Training Epoch: 29 [22016/46200]	Loss: 0.5139	LR: 0.020000
Training Epoch: 29 [22272/46200]	Loss: 0.4621	LR: 0.020000
Training Epoch: 29 [22528/46200]	Loss: 0.5971	LR: 0.020000
Training Epoch: 29 [22784/46200]	Loss: 0.4228	LR: 0.020000
Training Epoch: 29 [23040/46200]	Loss: 0.4890	LR: 0.020000
Training Epoch: 29 [23296/46200]	Loss: 0.4873	LR: 0.020000
Training Epoch: 29 [23552/46200]	Loss: 0.5320	LR: 0.020000
Training Epoch: 29 [23808/46200]	Loss: 0.3974	LR: 0.020000
Training Epoch: 29 [24064/46200]	Loss: 0.4237	LR: 0.020000
Training Epoch: 29 [24320/46200]	Loss: 0.5134	LR: 0.020000
Training Epoch: 29 [24576/46200]	Loss: 0.6525	LR: 0.020000
Training Epoch: 29 [24832/46200]	Loss: 0.4122	LR: 0.020000
Training Epoch: 29 [25088/46200]	Loss: 0.5175	LR: 0.020000
Training Epoch: 29 [25344/46200]	Loss: 0.6131	LR: 0.020000
Training Epoch: 29 [25600/46200]	Loss: 0.5109	LR: 0.020000
Training Epoch: 29 [25856/46200]	Loss: 0.5481	LR: 0.020000
Training Epoch: 29 [26112/46200]	Loss: 0.5605	LR: 0.020000
Training Epoch: 29 [26368/46200]	Loss: 0.4692	LR: 0.020000
Training Epoch: 29 [26624/46200]	Loss: 0.5488	LR: 0.020000
Training Epoch: 29 [26880/46200]	Loss: 0.4980	LR: 0.020000
Training Epoch: 29 [27136/46200]	Loss: 0.5159	LR: 0.020000
Training Epoch: 29 [27392/46200]	Loss: 0.5067	LR: 0.020000
Training Epoch: 29 [27648/46200]	Loss: 0.4471	LR: 0.020000
Training Epoch: 29 [27904/46200]	Loss: 0.4697	LR: 0.020000
Training Epoch: 29 [28160/46200]	Loss: 0.4257	LR: 0.020000
Training Epoch: 29 [28416/46200]	Loss: 0.6011	LR: 0.020000
Training Epoch: 29 [28672/46200]	Loss: 0.4715	LR: 0.020000
Training Epoch: 29 [28928/46200]	Loss: 0.5455	LR: 0.020000
Training Epoch: 29 [29184/46200]	Loss: 0.5581	LR: 0.020000
Training Epoch: 29 [29440/46200]	Loss: 0.4712	LR: 0.020000
Training Epoch: 29 [29696/46200]	Loss: 0.5789	LR: 0.020000
Training Epoch: 29 [29952/46200]	Loss: 0.3696	LR: 0.020000
Training Epoch: 29 [30208/46200]	Loss: 0.5458	LR: 0.020000
Training Epoch: 29 [30464/46200]	Loss: 0.4622	LR: 0.020000
Training Epoch: 29 [30720/46200]	Loss: 0.4674	LR: 0.020000
Training Epoch: 29 [30976/46200]	Loss: 0.5305	LR: 0.020000
Training Epoch: 29 [31232/46200]	Loss: 0.5711	LR: 0.020000
Training Epoch: 29 [31488/46200]	Loss: 0.6319	LR: 0.020000
Training Epoch: 29 [31744/46200]	Loss: 0.6156	LR: 0.020000
Training Epoch: 29 [32000/46200]	Loss: 0.5837	LR: 0.020000
Training Epoch: 29 [32256/46200]	Loss: 0.5466	LR: 0.020000
Training Epoch: 29 [32512/46200]	Loss: 0.4824	LR: 0.020000
Training Epoch: 29 [32768/46200]	Loss: 0.5454	LR: 0.020000
Training Epoch: 29 [33024/46200]	Loss: 0.5139	LR: 0.020000
Training Epoch: 29 [33280/46200]	Loss: 0.4967	LR: 0.020000
Training Epoch: 29 [33536/46200]	Loss: 0.5142	LR: 0.020000
Training Epoch: 29 [33792/46200]	Loss: 0.5297	LR: 0.020000
Training Epoch: 29 [34048/46200]	Loss: 0.5732	LR: 0.020000
Training Epoch: 29 [34304/46200]	Loss: 0.5801	LR: 0.020000
Training Epoch: 29 [34560/46200]	Loss: 0.4686	LR: 0.020000
Training Epoch: 29 [34816/46200]	Loss: 0.4531	LR: 0.020000
Training Epoch: 29 [35072/46200]	Loss: 0.4901	LR: 0.020000
Training Epoch: 29 [35328/46200]	Loss: 0.5558	LR: 0.020000
Training Epoch: 29 [35584/46200]	Loss: 0.5199	LR: 0.020000
Training Epoch: 29 [35840/46200]	Loss: 0.5918	LR: 0.020000
Training Epoch: 29 [36096/46200]	Loss: 0.5341	LR: 0.020000
Training Epoch: 29 [36352/46200]	Loss: 0.5935	LR: 0.020000
Training Epoch: 29 [36608/46200]	Loss: 0.5527	LR: 0.020000
Training Epoch: 29 [36864/46200]	Loss: 0.5835	LR: 0.020000
Training Epoch: 29 [37120/46200]	Loss: 0.5191	LR: 0.020000
Training Epoch: 29 [37376/46200]	Loss: 0.5438	LR: 0.020000
Training Epoch: 29 [37632/46200]	Loss: 0.5941	LR: 0.020000
Training Epoch: 29 [37888/46200]	Loss: 0.5055	LR: 0.020000
Training Epoch: 29 [38144/46200]	Loss: 0.4382	LR: 0.020000
Training Epoch: 29 [38400/46200]	Loss: 0.5176	LR: 0.020000
Training Epoch: 29 [38656/46200]	Loss: 0.4887	LR: 0.020000
Training Epoch: 29 [38912/46200]	Loss: 0.5641	LR: 0.020000
Training Epoch: 29 [39168/46200]	Loss: 0.5743	LR: 0.020000
Training Epoch: 29 [39424/46200]	Loss: 0.5980	LR: 0.020000
Training Epoch: 29 [39680/46200]	Loss: 0.4204	LR: 0.020000
Training Epoch: 29 [39936/46200]	Loss: 0.5484	LR: 0.020000
Training Epoch: 29 [40192/46200]	Loss: 0.4683	LR: 0.020000
Training Epoch: 29 [40448/46200]	Loss: 0.4836	LR: 0.020000
Training Epoch: 29 [40704/46200]	Loss: 0.4562	LR: 0.020000
Training Epoch: 29 [40960/46200]	Loss: 0.5088	LR: 0.020000
Training Epoch: 29 [41216/46200]	Loss: 0.5109	LR: 0.020000
Training Epoch: 29 [41472/46200]	Loss: 0.6409	LR: 0.020000
Training Epoch: 29 [41728/46200]	Loss: 0.5381	LR: 0.020000
Training Epoch: 29 [41984/46200]	Loss: 0.4905	LR: 0.020000
Training Epoch: 29 [42240/46200]	Loss: 0.5701	LR: 0.020000
Training Epoch: 29 [42496/46200]	Loss: 0.6281	LR: 0.020000
Training Epoch: 29 [42752/46200]	Loss: 0.6210	LR: 0.020000
Training Epoch: 29 [43008/46200]	Loss: 0.4723	LR: 0.020000
Training Epoch: 29 [43264/46200]	Loss: 0.5347	LR: 0.020000
Training Epoch: 29 [43520/46200]	Loss: 0.5105	LR: 0.020000
Training Epoch: 29 [43776/46200]	Loss: 0.4955	LR: 0.020000
Training Epoch: 29 [44032/46200]	Loss: 0.5889	LR: 0.020000
Training Epoch: 29 [44288/46200]	Loss: 0.4738	LR: 0.020000
Training Epoch: 29 [44544/46200]	Loss: 0.5158	LR: 0.020000
Training Epoch: 29 [44800/46200]	Loss: 0.6631	LR: 0.020000
Training Epoch: 29 [45056/46200]	Loss: 0.5241	LR: 0.020000
Training Epoch: 29 [45312/46200]	Loss: 0.6270	LR: 0.020000
Training Epoch: 29 [45568/46200]	Loss: 0.5902	LR: 0.020000
Training Epoch: 29 [45824/46200]	Loss: 0.5264	LR: 0.020000
Training Epoch: 29 [46080/46200]	Loss: 0.5107	LR: 0.020000
Training Epoch: 29 [46200/46200]	Loss: 0.4964	LR: 0.020000
Epoch 29 - Average Train Loss: 0.5109, Train Accuracy: 0.8337
Epoch 29 training time consumed: 24.99s
Evaluating Network.....
Test set: Epoch: 29, Average loss: 0.0039, Accuracy: 0.7187, Time consumed:0.86s
Training Epoch: 30 [256/46200]	Loss: 0.4863	LR: 0.004000
Training Epoch: 30 [512/46200]	Loss: 0.5175	LR: 0.004000
Training Epoch: 30 [768/46200]	Loss: 0.4860	LR: 0.004000
Training Epoch: 30 [1024/46200]	Loss: 0.4129	LR: 0.004000
Training Epoch: 30 [1280/46200]	Loss: 0.4171	LR: 0.004000
Training Epoch: 30 [1536/46200]	Loss: 0.4653	LR: 0.004000
Training Epoch: 30 [1792/46200]	Loss: 0.4596	LR: 0.004000
Training Epoch: 30 [2048/46200]	Loss: 0.4222	LR: 0.004000
Training Epoch: 30 [2304/46200]	Loss: 0.4513	LR: 0.004000
Training Epoch: 30 [2560/46200]	Loss: 0.5348	LR: 0.004000
Training Epoch: 30 [2816/46200]	Loss: 0.4188	LR: 0.004000
Training Epoch: 30 [3072/46200]	Loss: 0.4463	LR: 0.004000
Training Epoch: 30 [3328/46200]	Loss: 0.4185	LR: 0.004000
Training Epoch: 30 [3584/46200]	Loss: 0.4231	LR: 0.004000
Training Epoch: 30 [3840/46200]	Loss: 0.4174	LR: 0.004000
Training Epoch: 30 [4096/46200]	Loss: 0.4489	LR: 0.004000
Training Epoch: 30 [4352/46200]	Loss: 0.4005	LR: 0.004000
Training Epoch: 30 [4608/46200]	Loss: 0.3909	LR: 0.004000
Training Epoch: 30 [4864/46200]	Loss: 0.4546	LR: 0.004000
Training Epoch: 30 [5120/46200]	Loss: 0.5009	LR: 0.004000
Training Epoch: 30 [5376/46200]	Loss: 0.4448	LR: 0.004000
Training Epoch: 30 [5632/46200]	Loss: 0.4028	LR: 0.004000
Training Epoch: 30 [5888/46200]	Loss: 0.4679	LR: 0.004000
Training Epoch: 30 [6144/46200]	Loss: 0.3545	LR: 0.004000
Training Epoch: 30 [6400/46200]	Loss: 0.3871	LR: 0.004000
Training Epoch: 30 [6656/46200]	Loss: 0.4160	LR: 0.004000
Training Epoch: 30 [6912/46200]	Loss: 0.3410	LR: 0.004000
Training Epoch: 30 [7168/46200]	Loss: 0.4152	LR: 0.004000
Training Epoch: 30 [7424/46200]	Loss: 0.4303	LR: 0.004000
Training Epoch: 30 [7680/46200]	Loss: 0.3027	LR: 0.004000
Training Epoch: 30 [7936/46200]	Loss: 0.3336	LR: 0.004000
Training Epoch: 30 [8192/46200]	Loss: 0.4515	LR: 0.004000
Training Epoch: 30 [8448/46200]	Loss: 0.3906	LR: 0.004000
Training Epoch: 30 [8704/46200]	Loss: 0.4177	LR: 0.004000
Training Epoch: 30 [8960/46200]	Loss: 0.3818	LR: 0.004000
Training Epoch: 30 [9216/46200]	Loss: 0.4637	LR: 0.004000
Training Epoch: 30 [9472/46200]	Loss: 0.4042	LR: 0.004000
Training Epoch: 30 [9728/46200]	Loss: 0.3419	LR: 0.004000
Training Epoch: 30 [9984/46200]	Loss: 0.4640	LR: 0.004000
Training Epoch: 30 [10240/46200]	Loss: 0.3995	LR: 0.004000
Training Epoch: 30 [10496/46200]	Loss: 0.5029	LR: 0.004000
Training Epoch: 30 [10752/46200]	Loss: 0.4684	LR: 0.004000
Training Epoch: 30 [11008/46200]	Loss: 0.4146	LR: 0.004000
Training Epoch: 30 [11264/46200]	Loss: 0.4564	LR: 0.004000
Training Epoch: 30 [11520/46200]	Loss: 0.3663	LR: 0.004000
Training Epoch: 30 [11776/46200]	Loss: 0.3692	LR: 0.004000
Training Epoch: 30 [12032/46200]	Loss: 0.4757	LR: 0.004000
Training Epoch: 30 [12288/46200]	Loss: 0.4564	LR: 0.004000
Training Epoch: 30 [12544/46200]	Loss: 0.4814	LR: 0.004000
Training Epoch: 30 [12800/46200]	Loss: 0.3583	LR: 0.004000
Training Epoch: 30 [13056/46200]	Loss: 0.3570	LR: 0.004000
Training Epoch: 30 [13312/46200]	Loss: 0.2966	LR: 0.004000
Training Epoch: 30 [13568/46200]	Loss: 0.4470	LR: 0.004000
Training Epoch: 30 [13824/46200]	Loss: 0.4033	LR: 0.004000
Training Epoch: 30 [14080/46200]	Loss: 0.3188	LR: 0.004000
Training Epoch: 30 [14336/46200]	Loss: 0.4142	LR: 0.004000
Training Epoch: 30 [14592/46200]	Loss: 0.2935	LR: 0.004000
Training Epoch: 30 [14848/46200]	Loss: 0.4266	LR: 0.004000
Training Epoch: 30 [15104/46200]	Loss: 0.3958	LR: 0.004000
Training Epoch: 30 [15360/46200]	Loss: 0.3338	LR: 0.004000
Training Epoch: 30 [15616/46200]	Loss: 0.3890	LR: 0.004000
Training Epoch: 30 [15872/46200]	Loss: 0.3529	LR: 0.004000
Training Epoch: 30 [16128/46200]	Loss: 0.4132	LR: 0.004000
Training Epoch: 30 [16384/46200]	Loss: 0.4627	LR: 0.004000
Training Epoch: 30 [16640/46200]	Loss: 0.4022	LR: 0.004000
Training Epoch: 30 [16896/46200]	Loss: 0.3759	LR: 0.004000
Training Epoch: 30 [17152/46200]	Loss: 0.3364	LR: 0.004000
Training Epoch: 30 [17408/46200]	Loss: 0.3477	LR: 0.004000
Training Epoch: 30 [17664/46200]	Loss: 0.3849	LR: 0.004000
Training Epoch: 30 [17920/46200]	Loss: 0.4607	LR: 0.004000
Training Epoch: 30 [18176/46200]	Loss: 0.3720	LR: 0.004000
Training Epoch: 30 [18432/46200]	Loss: 0.3610	LR: 0.004000
Training Epoch: 30 [18688/46200]	Loss: 0.3384	LR: 0.004000
Training Epoch: 30 [18944/46200]	Loss: 0.3704	LR: 0.004000
Training Epoch: 30 [19200/46200]	Loss: 0.4122	LR: 0.004000
Training Epoch: 30 [19456/46200]	Loss: 0.3963	LR: 0.004000
Training Epoch: 30 [19712/46200]	Loss: 0.2996	LR: 0.004000
Training Epoch: 30 [19968/46200]	Loss: 0.4391	LR: 0.004000
Training Epoch: 30 [20224/46200]	Loss: 0.3607	LR: 0.004000
Training Epoch: 30 [20480/46200]	Loss: 0.3811	LR: 0.004000
Training Epoch: 30 [20736/46200]	Loss: 0.4373	LR: 0.004000
Training Epoch: 30 [20992/46200]	Loss: 0.4060	LR: 0.004000
Training Epoch: 30 [21248/46200]	Loss: 0.3029	LR: 0.004000
Training Epoch: 30 [21504/46200]	Loss: 0.4539	LR: 0.004000
Training Epoch: 30 [21760/46200]	Loss: 0.4233	LR: 0.004000
Training Epoch: 30 [22016/46200]	Loss: 0.3976	LR: 0.004000
Training Epoch: 30 [22272/46200]	Loss: 0.3933	LR: 0.004000
Training Epoch: 30 [22528/46200]	Loss: 0.3843	LR: 0.004000
Training Epoch: 30 [22784/46200]	Loss: 0.3788	LR: 0.004000
Training Epoch: 30 [23040/46200]	Loss: 0.3874	LR: 0.004000
Training Epoch: 30 [23296/46200]	Loss: 0.4121	LR: 0.004000
Training Epoch: 30 [23552/46200]	Loss: 0.3640	LR: 0.004000
Training Epoch: 30 [23808/46200]	Loss: 0.4229	LR: 0.004000
Training Epoch: 30 [24064/46200]	Loss: 0.3947	LR: 0.004000
Training Epoch: 30 [24320/46200]	Loss: 0.3891	LR: 0.004000
Training Epoch: 30 [24576/46200]	Loss: 0.4115	LR: 0.004000
Training Epoch: 30 [24832/46200]	Loss: 0.4092	LR: 0.004000
Training Epoch: 30 [25088/46200]	Loss: 0.4564	LR: 0.004000
Training Epoch: 30 [25344/46200]	Loss: 0.3141	LR: 0.004000
Training Epoch: 30 [25600/46200]	Loss: 0.3704	LR: 0.004000
Training Epoch: 30 [25856/46200]	Loss: 0.4311	LR: 0.004000
Training Epoch: 30 [26112/46200]	Loss: 0.3534	LR: 0.004000
Training Epoch: 30 [26368/46200]	Loss: 0.3109	LR: 0.004000
Training Epoch: 30 [26624/46200]	Loss: 0.4419	LR: 0.004000
Training Epoch: 30 [26880/46200]	Loss: 0.4128	LR: 0.004000
Training Epoch: 30 [27136/46200]	Loss: 0.3778	LR: 0.004000
Training Epoch: 30 [27392/46200]	Loss: 0.4471	LR: 0.004000
Training Epoch: 30 [27648/46200]	Loss: 0.3669	LR: 0.004000
Training Epoch: 30 [27904/46200]	Loss: 0.3210	LR: 0.004000
Training Epoch: 30 [28160/46200]	Loss: 0.4744	LR: 0.004000
Training Epoch: 30 [28416/46200]	Loss: 0.3465	LR: 0.004000
Training Epoch: 30 [28672/46200]	Loss: 0.3737	LR: 0.004000
Training Epoch: 30 [28928/46200]	Loss: 0.5095	LR: 0.004000
Training Epoch: 30 [29184/46200]	Loss: 0.4248	LR: 0.004000
Training Epoch: 30 [29440/46200]	Loss: 0.4218	LR: 0.004000
Training Epoch: 30 [29696/46200]	Loss: 0.2991	LR: 0.004000
Training Epoch: 30 [29952/46200]	Loss: 0.3211	LR: 0.004000
Training Epoch: 30 [30208/46200]	Loss: 0.3720	LR: 0.004000
Training Epoch: 30 [30464/46200]	Loss: 0.3984	LR: 0.004000
Training Epoch: 30 [30720/46200]	Loss: 0.4862	LR: 0.004000
Training Epoch: 30 [30976/46200]	Loss: 0.4253	LR: 0.004000
Training Epoch: 30 [31232/46200]	Loss: 0.4515	LR: 0.004000
Training Epoch: 30 [31488/46200]	Loss: 0.3577	LR: 0.004000
Training Epoch: 30 [31744/46200]	Loss: 0.4288	LR: 0.004000
Training Epoch: 30 [32000/46200]	Loss: 0.3591	LR: 0.004000
Training Epoch: 30 [32256/46200]	Loss: 0.4232	LR: 0.004000
Training Epoch: 30 [32512/46200]	Loss: 0.3994	LR: 0.004000
Training Epoch: 30 [32768/46200]	Loss: 0.3185	LR: 0.004000
Training Epoch: 30 [33024/46200]	Loss: 0.4427	LR: 0.004000
Training Epoch: 30 [33280/46200]	Loss: 0.2952	LR: 0.004000
Training Epoch: 30 [33536/46200]	Loss: 0.3980	LR: 0.004000
Training Epoch: 30 [33792/46200]	Loss: 0.4531	LR: 0.004000
Training Epoch: 30 [34048/46200]	Loss: 0.3305	LR: 0.004000
Training Epoch: 30 [34304/46200]	Loss: 0.3805	LR: 0.004000
Training Epoch: 30 [34560/46200]	Loss: 0.3400	LR: 0.004000
Training Epoch: 30 [34816/46200]	Loss: 0.3257	LR: 0.004000
Training Epoch: 30 [35072/46200]	Loss: 0.3192	LR: 0.004000
Training Epoch: 30 [35328/46200]	Loss: 0.3495	LR: 0.004000
Training Epoch: 30 [35584/46200]	Loss: 0.3194	LR: 0.004000
Training Epoch: 30 [35840/46200]	Loss: 0.3846	LR: 0.004000
Training Epoch: 30 [36096/46200]	Loss: 0.3046	LR: 0.004000
Training Epoch: 30 [36352/46200]	Loss: 0.4227	LR: 0.004000
Training Epoch: 30 [36608/46200]	Loss: 0.4855	LR: 0.004000
Training Epoch: 30 [36864/46200]	Loss: 0.3675	LR: 0.004000
Training Epoch: 30 [37120/46200]	Loss: 0.3392	LR: 0.004000
Training Epoch: 30 [37376/46200]	Loss: 0.3585	LR: 0.004000
Training Epoch: 30 [37632/46200]	Loss: 0.3793	LR: 0.004000
Training Epoch: 30 [37888/46200]	Loss: 0.3673	LR: 0.004000
Training Epoch: 30 [38144/46200]	Loss: 0.4094	LR: 0.004000
Training Epoch: 30 [38400/46200]	Loss: 0.4215	LR: 0.004000
Training Epoch: 30 [38656/46200]	Loss: 0.4400	LR: 0.004000
Training Epoch: 30 [38912/46200]	Loss: 0.3240	LR: 0.004000
Training Epoch: 30 [39168/46200]	Loss: 0.4596	LR: 0.004000
Training Epoch: 30 [39424/46200]	Loss: 0.3658	LR: 0.004000
Training Epoch: 30 [39680/46200]	Loss: 0.3780	LR: 0.004000
Training Epoch: 30 [39936/46200]	Loss: 0.3713	LR: 0.004000
Training Epoch: 30 [40192/46200]	Loss: 0.3205	LR: 0.004000
Training Epoch: 30 [40448/46200]	Loss: 0.4812	LR: 0.004000
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Training Epoch: 30 [41984/46200]	Loss: 0.3337	LR: 0.004000
Training Epoch: 30 [42240/46200]	Loss: 0.4280	LR: 0.004000
Training Epoch: 30 [42496/46200]	Loss: 0.4104	LR: 0.004000
Training Epoch: 30 [42752/46200]	Loss: 0.4100	LR: 0.004000
Training Epoch: 30 [43008/46200]	Loss: 0.3787	LR: 0.004000
Training Epoch: 30 [43264/46200]	Loss: 0.3277	LR: 0.004000
Training Epoch: 30 [43520/46200]	Loss: 0.3368	LR: 0.004000
Training Epoch: 30 [43776/46200]	Loss: 0.3794	LR: 0.004000
Training Epoch: 30 [44032/46200]	Loss: 0.3918	LR: 0.004000
Training Epoch: 30 [44288/46200]	Loss: 0.3494	LR: 0.004000
Training Epoch: 30 [44544/46200]	Loss: 0.3897	LR: 0.004000
Training Epoch: 30 [44800/46200]	Loss: 0.4218	LR: 0.004000
Training Epoch: 30 [45056/46200]	Loss: 0.4460	LR: 0.004000
Training Epoch: 30 [45312/46200]	Loss: 0.3935	LR: 0.004000
Training Epoch: 30 [45568/46200]	Loss: 0.4169	LR: 0.004000
Training Epoch: 30 [45824/46200]	Loss: 0.4288	LR: 0.004000
Training Epoch: 30 [46080/46200]	Loss: 0.3688	LR: 0.004000
Training Epoch: 30 [46200/46200]	Loss: 0.4320	LR: 0.004000
Epoch 30 - Average Train Loss: 0.3973, Train Accuracy: 0.8748
Epoch 30 training time consumed: 24.98s
Evaluating Network.....
Test set: Epoch: 30, Average loss: 0.0030, Accuracy: 0.7721, Time consumed:0.85s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_09h_04m_02s/AllCNN-Cifar20-seed2-ret25-30-best.pth
Training Epoch: 31 [256/46200]	Loss: 0.3924	LR: 0.004000
Training Epoch: 31 [512/46200]	Loss: 0.2921	LR: 0.004000
Training Epoch: 31 [768/46200]	Loss: 0.3232	LR: 0.004000
Training Epoch: 31 [1024/46200]	Loss: 0.3868	LR: 0.004000
Training Epoch: 31 [1280/46200]	Loss: 0.3436	LR: 0.004000
Training Epoch: 31 [1536/46200]	Loss: 0.4231	LR: 0.004000
Training Epoch: 31 [1792/46200]	Loss: 0.3624	LR: 0.004000
Training Epoch: 31 [2048/46200]	Loss: 0.3429	LR: 0.004000
Training Epoch: 31 [2304/46200]	Loss: 0.3735	LR: 0.004000
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Training Epoch: 31 [40192/46200]	Loss: 0.3548	LR: 0.004000
Training Epoch: 31 [40448/46200]	Loss: 0.3509	LR: 0.004000
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Training Epoch: 31 [42496/46200]	Loss: 0.2891	LR: 0.004000
Training Epoch: 31 [42752/46200]	Loss: 0.3507	LR: 0.004000
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Training Epoch: 31 [43520/46200]	Loss: 0.3950	LR: 0.004000
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Training Epoch: 31 [44288/46200]	Loss: 0.4153	LR: 0.004000
Training Epoch: 31 [44544/46200]	Loss: 0.3694	LR: 0.004000
Training Epoch: 31 [44800/46200]	Loss: 0.4797	LR: 0.004000
Training Epoch: 31 [45056/46200]	Loss: 0.3267	LR: 0.004000
Training Epoch: 31 [45312/46200]	Loss: 0.3276	LR: 0.004000
Training Epoch: 31 [45568/46200]	Loss: 0.4354	LR: 0.004000
Training Epoch: 31 [45824/46200]	Loss: 0.3752	LR: 0.004000
Training Epoch: 31 [46080/46200]	Loss: 0.4023	LR: 0.004000
Training Epoch: 31 [46200/46200]	Loss: 0.3501	LR: 0.004000
Epoch 31 - Average Train Loss: 0.3649, Train Accuracy: 0.8872
Epoch 31 training time consumed: 25.03s
Evaluating Network.....
Test set: Epoch: 31, Average loss: 0.0030, Accuracy: 0.7749, Time consumed:0.94s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_09h_04m_02s/AllCNN-Cifar20-seed2-ret25-31-best.pth
Training Epoch: 32 [256/46200]	Loss: 0.3434	LR: 0.004000
Training Epoch: 32 [512/46200]	Loss: 0.3549	LR: 0.004000
Training Epoch: 32 [768/46200]	Loss: 0.2923	LR: 0.004000
Training Epoch: 32 [1024/46200]	Loss: 0.3693	LR: 0.004000
Training Epoch: 32 [1280/46200]	Loss: 0.4015	LR: 0.004000
Training Epoch: 32 [1536/46200]	Loss: 0.3096	LR: 0.004000
Training Epoch: 32 [1792/46200]	Loss: 0.3543	LR: 0.004000
Training Epoch: 32 [2048/46200]	Loss: 0.3853	LR: 0.004000
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Training Epoch: 32 [2560/46200]	Loss: 0.3734	LR: 0.004000
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Training Epoch: 32 [45312/46200]	Loss: 0.3345	LR: 0.004000
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Training Epoch: 32 [46080/46200]	Loss: 0.3641	LR: 0.004000
Training Epoch: 32 [46200/46200]	Loss: 0.4154	LR: 0.004000
Epoch 32 - Average Train Loss: 0.3471, Train Accuracy: 0.8931
Epoch 32 training time consumed: 25.03s
Evaluating Network.....
Test set: Epoch: 32, Average loss: 0.0030, Accuracy: 0.7751, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_09h_04m_02s/AllCNN-Cifar20-seed2-ret25-32-best.pth
Training Epoch: 33 [256/46200]	Loss: 0.3632	LR: 0.004000
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Training Epoch: 33 [45056/46200]	Loss: 0.3325	LR: 0.004000
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Training Epoch: 33 [46200/46200]	Loss: 0.3215	LR: 0.004000
Epoch 33 - Average Train Loss: 0.3353, Train Accuracy: 0.8984
Epoch 33 training time consumed: 25.03s
Evaluating Network.....
Test set: Epoch: 33, Average loss: 0.0031, Accuracy: 0.7720, Time consumed:0.90s
Training Epoch: 34 [256/46200]	Loss: 0.2586	LR: 0.004000
Training Epoch: 34 [512/46200]	Loss: 0.3047	LR: 0.004000
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Training Epoch: 34 [1280/46200]	Loss: 0.3371	LR: 0.004000
Training Epoch: 34 [1536/46200]	Loss: 0.3567	LR: 0.004000
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Training Epoch: 34 [20736/46200]	Loss: 0.3188	LR: 0.004000
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Training Epoch: 34 [43776/46200]	Loss: 0.2793	LR: 0.004000
Training Epoch: 34 [44032/46200]	Loss: 0.2846	LR: 0.004000
Training Epoch: 34 [44288/46200]	Loss: 0.3410	LR: 0.004000
Training Epoch: 34 [44544/46200]	Loss: 0.3135	LR: 0.004000
Training Epoch: 34 [44800/46200]	Loss: 0.4038	LR: 0.004000
Training Epoch: 34 [45056/46200]	Loss: 0.3050	LR: 0.004000
Training Epoch: 34 [45312/46200]	Loss: 0.2425	LR: 0.004000
Training Epoch: 34 [45568/46200]	Loss: 0.3583	LR: 0.004000
Training Epoch: 34 [45824/46200]	Loss: 0.3486	LR: 0.004000
Training Epoch: 34 [46080/46200]	Loss: 0.3537	LR: 0.004000
Training Epoch: 34 [46200/46200]	Loss: 0.4125	LR: 0.004000
Epoch 34 - Average Train Loss: 0.3286, Train Accuracy: 0.9000
Epoch 34 training time consumed: 24.96s
Evaluating Network.....
Test set: Epoch: 34, Average loss: 0.0031, Accuracy: 0.7758, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_09h_04m_02s/AllCNN-Cifar20-seed2-ret25-34-best.pth
Training Epoch: 35 [256/46200]	Loss: 0.2451	LR: 0.000800
Training Epoch: 35 [512/46200]	Loss: 0.2823	LR: 0.000800
Training Epoch: 35 [768/46200]	Loss: 0.3302	LR: 0.000800
Training Epoch: 35 [1024/46200]	Loss: 0.3848	LR: 0.000800
Training Epoch: 35 [1280/46200]	Loss: 0.3508	LR: 0.000800
Training Epoch: 35 [1536/46200]	Loss: 0.2896	LR: 0.000800
Training Epoch: 35 [1792/46200]	Loss: 0.2619	LR: 0.000800
Training Epoch: 35 [2048/46200]	Loss: 0.3328	LR: 0.000800
Training Epoch: 35 [2304/46200]	Loss: 0.2968	LR: 0.000800
Training Epoch: 35 [2560/46200]	Loss: 0.3605	LR: 0.000800
Training Epoch: 35 [2816/46200]	Loss: 0.3432	LR: 0.000800
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Training Epoch: 35 [26112/46200]	Loss: 0.2859	LR: 0.000800
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Training Epoch: 35 [27904/46200]	Loss: 0.2531	LR: 0.000800
Training Epoch: 35 [28160/46200]	Loss: 0.3511	LR: 0.000800
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Training Epoch: 35 [28672/46200]	Loss: 0.3082	LR: 0.000800
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Training Epoch: 35 [41216/46200]	Loss: 0.3343	LR: 0.000800
Training Epoch: 35 [41472/46200]	Loss: 0.2248	LR: 0.000800
Training Epoch: 35 [41728/46200]	Loss: 0.3640	LR: 0.000800
Training Epoch: 35 [41984/46200]	Loss: 0.2608	LR: 0.000800
Training Epoch: 35 [42240/46200]	Loss: 0.2861	LR: 0.000800
Training Epoch: 35 [42496/46200]	Loss: 0.3777	LR: 0.000800
Training Epoch: 35 [42752/46200]	Loss: 0.2288	LR: 0.000800
Training Epoch: 35 [43008/46200]	Loss: 0.2903	LR: 0.000800
Training Epoch: 35 [43264/46200]	Loss: 0.3524	LR: 0.000800
Training Epoch: 35 [43520/46200]	Loss: 0.3272	LR: 0.000800
Training Epoch: 35 [43776/46200]	Loss: 0.3213	LR: 0.000800
Training Epoch: 35 [44032/46200]	Loss: 0.2985	LR: 0.000800
Training Epoch: 35 [44288/46200]	Loss: 0.2807	LR: 0.000800
Training Epoch: 35 [44544/46200]	Loss: 0.2915	LR: 0.000800
Training Epoch: 35 [44800/46200]	Loss: 0.3893	LR: 0.000800
Training Epoch: 35 [45056/46200]	Loss: 0.3949	LR: 0.000800
Training Epoch: 35 [45312/46200]	Loss: 0.3293	LR: 0.000800
Training Epoch: 35 [45568/46200]	Loss: 0.3257	LR: 0.000800
Training Epoch: 35 [45824/46200]	Loss: 0.3467	LR: 0.000800
Training Epoch: 35 [46080/46200]	Loss: 0.3503	LR: 0.000800
Training Epoch: 35 [46200/46200]	Loss: 0.2660	LR: 0.000800
Epoch 35 - Average Train Loss: 0.3052, Train Accuracy: 0.9091
Epoch 35 training time consumed: 24.99s
Evaluating Network.....
Test set: Epoch: 35, Average loss: 0.0030, Accuracy: 0.7796, Time consumed:0.87s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_09h_04m_02s/AllCNN-Cifar20-seed2-ret25-35-best.pth
Training Epoch: 36 [256/46200]	Loss: 0.3235	LR: 0.000800
Training Epoch: 36 [512/46200]	Loss: 0.2925	LR: 0.000800
Training Epoch: 36 [768/46200]	Loss: 0.3728	LR: 0.000800
Training Epoch: 36 [1024/46200]	Loss: 0.2854	LR: 0.000800
Training Epoch: 36 [1280/46200]	Loss: 0.3054	LR: 0.000800
Training Epoch: 36 [1536/46200]	Loss: 0.3816	LR: 0.000800
Training Epoch: 36 [1792/46200]	Loss: 0.2693	LR: 0.000800
Training Epoch: 36 [2048/46200]	Loss: 0.3261	LR: 0.000800
Training Epoch: 36 [2304/46200]	Loss: 0.2624	LR: 0.000800
Training Epoch: 36 [2560/46200]	Loss: 0.3270	LR: 0.000800
Training Epoch: 36 [2816/46200]	Loss: 0.3393	LR: 0.000800
Training Epoch: 36 [3072/46200]	Loss: 0.2319	LR: 0.000800
Training Epoch: 36 [3328/46200]	Loss: 0.2570	LR: 0.000800
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Training Epoch: 36 [4608/46200]	Loss: 0.3359	LR: 0.000800
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Training Epoch: 36 [5120/46200]	Loss: 0.3136	LR: 0.000800
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Training Epoch: 36 [5632/46200]	Loss: 0.2835	LR: 0.000800
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Training Epoch: 36 [28928/46200]	Loss: 0.2519	LR: 0.000800
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Training Epoch: 36 [35584/46200]	Loss: 0.2993	LR: 0.000800
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Training Epoch: 36 [37888/46200]	Loss: 0.2719	LR: 0.000800
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Training Epoch: 36 [40192/46200]	Loss: 0.3168	LR: 0.000800
Training Epoch: 36 [40448/46200]	Loss: 0.3214	LR: 0.000800
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Training Epoch: 36 [42496/46200]	Loss: 0.3895	LR: 0.000800
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Training Epoch: 36 [43008/46200]	Loss: 0.3331	LR: 0.000800
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Training Epoch: 36 [43520/46200]	Loss: 0.3183	LR: 0.000800
Training Epoch: 36 [43776/46200]	Loss: 0.2583	LR: 0.000800
Training Epoch: 36 [44032/46200]	Loss: 0.2563	LR: 0.000800
Training Epoch: 36 [44288/46200]	Loss: 0.3156	LR: 0.000800
Training Epoch: 36 [44544/46200]	Loss: 0.3901	LR: 0.000800
Training Epoch: 36 [44800/46200]	Loss: 0.3122	LR: 0.000800
Training Epoch: 36 [45056/46200]	Loss: 0.2630	LR: 0.000800
Training Epoch: 36 [45312/46200]	Loss: 0.3326	LR: 0.000800
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Training Epoch: 36 [45824/46200]	Loss: 0.2708	LR: 0.000800
Training Epoch: 36 [46080/46200]	Loss: 0.2806	LR: 0.000800
Training Epoch: 36 [46200/46200]	Loss: 0.2648	LR: 0.000800
Epoch 36 - Average Train Loss: 0.3006, Train Accuracy: 0.9094
Epoch 36 training time consumed: 25.03s
Evaluating Network.....
Test set: Epoch: 36, Average loss: 0.0030, Accuracy: 0.7810, Time consumed:0.87s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_09h_04m_02s/AllCNN-Cifar20-seed2-ret25-36-best.pth
Training Epoch: 37 [256/46200]	Loss: 0.2505	LR: 0.000800
Training Epoch: 37 [512/46200]	Loss: 0.2957	LR: 0.000800
Training Epoch: 37 [768/46200]	Loss: 0.2106	LR: 0.000800
Training Epoch: 37 [1024/46200]	Loss: 0.2496	LR: 0.000800
Training Epoch: 37 [1280/46200]	Loss: 0.2766	LR: 0.000800
Training Epoch: 37 [1536/46200]	Loss: 0.3312	LR: 0.000800
Training Epoch: 37 [1792/46200]	Loss: 0.2729	LR: 0.000800
Training Epoch: 37 [2048/46200]	Loss: 0.3649	LR: 0.000800
Training Epoch: 37 [2304/46200]	Loss: 0.2316	LR: 0.000800
Training Epoch: 37 [2560/46200]	Loss: 0.3326	LR: 0.000800
Training Epoch: 37 [2816/46200]	Loss: 0.3864	LR: 0.000800
Training Epoch: 37 [3072/46200]	Loss: 0.2604	LR: 0.000800
Training Epoch: 37 [3328/46200]	Loss: 0.2312	LR: 0.000800
Training Epoch: 37 [3584/46200]	Loss: 0.3167	LR: 0.000800
Training Epoch: 37 [3840/46200]	Loss: 0.3624	LR: 0.000800
Training Epoch: 37 [4096/46200]	Loss: 0.2631	LR: 0.000800
Training Epoch: 37 [4352/46200]	Loss: 0.3327	LR: 0.000800
Training Epoch: 37 [4608/46200]	Loss: 0.2674	LR: 0.000800
Training Epoch: 37 [4864/46200]	Loss: 0.3330	LR: 0.000800
Training Epoch: 37 [5120/46200]	Loss: 0.3085	LR: 0.000800
Training Epoch: 37 [5376/46200]	Loss: 0.3032	LR: 0.000800
Training Epoch: 37 [5632/46200]	Loss: 0.2630	LR: 0.000800
Training Epoch: 37 [5888/46200]	Loss: 0.2322	LR: 0.000800
Training Epoch: 37 [6144/46200]	Loss: 0.3595	LR: 0.000800
Training Epoch: 37 [6400/46200]	Loss: 0.2764	LR: 0.000800
Training Epoch: 37 [6656/46200]	Loss: 0.2996	LR: 0.000800
Training Epoch: 37 [6912/46200]	Loss: 0.2492	LR: 0.000800
Training Epoch: 37 [7168/46200]	Loss: 0.3331	LR: 0.000800
Training Epoch: 37 [7424/46200]	Loss: 0.2760	LR: 0.000800
Training Epoch: 37 [7680/46200]	Loss: 0.3693	LR: 0.000800
Training Epoch: 37 [7936/46200]	Loss: 0.3107	LR: 0.000800
Training Epoch: 37 [8192/46200]	Loss: 0.3043	LR: 0.000800
Training Epoch: 37 [8448/46200]	Loss: 0.2938	LR: 0.000800
Training Epoch: 37 [8704/46200]	Loss: 0.2909	LR: 0.000800
Training Epoch: 37 [8960/46200]	Loss: 0.3737	LR: 0.000800
Training Epoch: 37 [9216/46200]	Loss: 0.2731	LR: 0.000800
Training Epoch: 37 [9472/46200]	Loss: 0.3097	LR: 0.000800
Training Epoch: 37 [9728/46200]	Loss: 0.3828	LR: 0.000800
Training Epoch: 37 [9984/46200]	Loss: 0.3488	LR: 0.000800
Training Epoch: 37 [10240/46200]	Loss: 0.2585	LR: 0.000800
Training Epoch: 37 [10496/46200]	Loss: 0.3449	LR: 0.000800
Training Epoch: 37 [10752/46200]	Loss: 0.3262	LR: 0.000800
Training Epoch: 37 [11008/46200]	Loss: 0.2906	LR: 0.000800
Training Epoch: 37 [11264/46200]	Loss: 0.2798	LR: 0.000800
Training Epoch: 37 [11520/46200]	Loss: 0.3485	LR: 0.000800
Training Epoch: 37 [11776/46200]	Loss: 0.2711	LR: 0.000800
Training Epoch: 37 [12032/46200]	Loss: 0.2903	LR: 0.000800
Training Epoch: 37 [12288/46200]	Loss: 0.3041	LR: 0.000800
Training Epoch: 37 [12544/46200]	Loss: 0.3124	LR: 0.000800
Training Epoch: 37 [12800/46200]	Loss: 0.2938	LR: 0.000800
Training Epoch: 37 [13056/46200]	Loss: 0.2448	LR: 0.000800
Training Epoch: 37 [13312/46200]	Loss: 0.2974	LR: 0.000800
Training Epoch: 37 [13568/46200]	Loss: 0.3127	LR: 0.000800
Training Epoch: 37 [13824/46200]	Loss: 0.2978	LR: 0.000800
Training Epoch: 37 [14080/46200]	Loss: 0.2925	LR: 0.000800
Training Epoch: 37 [14336/46200]	Loss: 0.2483	LR: 0.000800
Training Epoch: 37 [14592/46200]	Loss: 0.2811	LR: 0.000800
Training Epoch: 37 [14848/46200]	Loss: 0.3483	LR: 0.000800
Training Epoch: 37 [15104/46200]	Loss: 0.2802	LR: 0.000800
Training Epoch: 37 [15360/46200]	Loss: 0.2996	LR: 0.000800
Training Epoch: 37 [15616/46200]	Loss: 0.3319	LR: 0.000800
Training Epoch: 37 [15872/46200]	Loss: 0.2453	LR: 0.000800
Training Epoch: 37 [16128/46200]	Loss: 0.2705	LR: 0.000800
Training Epoch: 37 [16384/46200]	Loss: 0.2611	LR: 0.000800
Training Epoch: 37 [16640/46200]	Loss: 0.2276	LR: 0.000800
Training Epoch: 37 [16896/46200]	Loss: 0.2774	LR: 0.000800
Training Epoch: 37 [17152/46200]	Loss: 0.3769	LR: 0.000800
Training Epoch: 37 [17408/46200]	Loss: 0.2255	LR: 0.000800
Training Epoch: 37 [17664/46200]	Loss: 0.3046	LR: 0.000800
Training Epoch: 37 [17920/46200]	Loss: 0.2970	LR: 0.000800
Training Epoch: 37 [18176/46200]	Loss: 0.3053	LR: 0.000800
Training Epoch: 37 [18432/46200]	Loss: 0.2634	LR: 0.000800
Training Epoch: 37 [18688/46200]	Loss: 0.3146	LR: 0.000800
Training Epoch: 37 [18944/46200]	Loss: 0.3199	LR: 0.000800
Training Epoch: 37 [19200/46200]	Loss: 0.2992	LR: 0.000800
Training Epoch: 37 [19456/46200]	Loss: 0.3388	LR: 0.000800
Training Epoch: 37 [19712/46200]	Loss: 0.3233	LR: 0.000800
Training Epoch: 37 [19968/46200]	Loss: 0.3216	LR: 0.000800
Training Epoch: 37 [20224/46200]	Loss: 0.3182	LR: 0.000800
Training Epoch: 37 [20480/46200]	Loss: 0.2500	LR: 0.000800
Training Epoch: 37 [20736/46200]	Loss: 0.3218	LR: 0.000800
Training Epoch: 37 [20992/46200]	Loss: 0.2979	LR: 0.000800
Training Epoch: 37 [21248/46200]	Loss: 0.2952	LR: 0.000800
Training Epoch: 37 [21504/46200]	Loss: 0.3364	LR: 0.000800
Training Epoch: 37 [21760/46200]	Loss: 0.2451	LR: 0.000800
Training Epoch: 37 [22016/46200]	Loss: 0.2364	LR: 0.000800
Training Epoch: 37 [22272/46200]	Loss: 0.2821	LR: 0.000800
Training Epoch: 37 [22528/46200]	Loss: 0.2982	LR: 0.000800
Training Epoch: 37 [22784/46200]	Loss: 0.3343	LR: 0.000800
Training Epoch: 37 [23040/46200]	Loss: 0.2634	LR: 0.000800
Training Epoch: 37 [23296/46200]	Loss: 0.2843	LR: 0.000800
Training Epoch: 37 [23552/46200]	Loss: 0.3219	LR: 0.000800
Training Epoch: 37 [23808/46200]	Loss: 0.3159	LR: 0.000800
Training Epoch: 37 [24064/46200]	Loss: 0.3580	LR: 0.000800
Training Epoch: 37 [24320/46200]	Loss: 0.3040	LR: 0.000800
Training Epoch: 37 [24576/46200]	Loss: 0.2507	LR: 0.000800
Training Epoch: 37 [24832/46200]	Loss: 0.3388	LR: 0.000800
Training Epoch: 37 [25088/46200]	Loss: 0.2528	LR: 0.000800
Training Epoch: 37 [25344/46200]	Loss: 0.3268	LR: 0.000800
Training Epoch: 37 [25600/46200]	Loss: 0.3091	LR: 0.000800
Training Epoch: 37 [25856/46200]	Loss: 0.2739	LR: 0.000800
Training Epoch: 37 [26112/46200]	Loss: 0.2489	LR: 0.000800
Training Epoch: 37 [26368/46200]	Loss: 0.3184	LR: 0.000800
Training Epoch: 37 [26624/46200]	Loss: 0.2586	LR: 0.000800
Training Epoch: 37 [26880/46200]	Loss: 0.2162	LR: 0.000800
Training Epoch: 37 [27136/46200]	Loss: 0.2586	LR: 0.000800
Training Epoch: 37 [27392/46200]	Loss: 0.3606	LR: 0.000800
Training Epoch: 37 [27648/46200]	Loss: 0.4074	LR: 0.000800
Training Epoch: 37 [27904/46200]	Loss: 0.2760	LR: 0.000800
Training Epoch: 37 [28160/46200]	Loss: 0.2659	LR: 0.000800
Training Epoch: 37 [28416/46200]	Loss: 0.2698	LR: 0.000800
Training Epoch: 37 [28672/46200]	Loss: 0.3665	LR: 0.000800
Training Epoch: 37 [28928/46200]	Loss: 0.3134	LR: 0.000800
Training Epoch: 37 [29184/46200]	Loss: 0.2233	LR: 0.000800
Training Epoch: 37 [29440/46200]	Loss: 0.3341	LR: 0.000800
Training Epoch: 37 [29696/46200]	Loss: 0.2631	LR: 0.000800
Training Epoch: 37 [29952/46200]	Loss: 0.3221	LR: 0.000800
Training Epoch: 37 [30208/46200]	Loss: 0.3064	LR: 0.000800
Training Epoch: 37 [30464/46200]	Loss: 0.2674	LR: 0.000800
Training Epoch: 37 [30720/46200]	Loss: 0.2864	LR: 0.000800
Training Epoch: 37 [30976/46200]	Loss: 0.3202	LR: 0.000800
Training Epoch: 37 [31232/46200]	Loss: 0.2619	LR: 0.000800
Training Epoch: 37 [31488/46200]	Loss: 0.2141	LR: 0.000800
Training Epoch: 37 [31744/46200]	Loss: 0.3043	LR: 0.000800
Training Epoch: 37 [32000/46200]	Loss: 0.2950	LR: 0.000800
Training Epoch: 37 [32256/46200]	Loss: 0.4094	LR: 0.000800
Training Epoch: 37 [32512/46200]	Loss: 0.3101	LR: 0.000800
Training Epoch: 37 [32768/46200]	Loss: 0.2790	LR: 0.000800
Training Epoch: 37 [33024/46200]	Loss: 0.3092	LR: 0.000800
Training Epoch: 37 [33280/46200]	Loss: 0.2776	LR: 0.000800
Training Epoch: 37 [33536/46200]	Loss: 0.2885	LR: 0.000800
Training Epoch: 37 [33792/46200]	Loss: 0.2862	LR: 0.000800
Training Epoch: 37 [34048/46200]	Loss: 0.3112	LR: 0.000800
Training Epoch: 37 [34304/46200]	Loss: 0.2315	LR: 0.000800
Training Epoch: 37 [34560/46200]	Loss: 0.2621	LR: 0.000800
Training Epoch: 37 [34816/46200]	Loss: 0.2794	LR: 0.000800
Training Epoch: 37 [35072/46200]	Loss: 0.2398	LR: 0.000800
Training Epoch: 37 [35328/46200]	Loss: 0.3001	LR: 0.000800
Training Epoch: 37 [35584/46200]	Loss: 0.3826	LR: 0.000800
Training Epoch: 37 [35840/46200]	Loss: 0.3224	LR: 0.000800
Training Epoch: 37 [36096/46200]	Loss: 0.2713	LR: 0.000800
Training Epoch: 37 [36352/46200]	Loss: 0.2905	LR: 0.000800
Training Epoch: 37 [36608/46200]	Loss: 0.2898	LR: 0.000800
Training Epoch: 37 [36864/46200]	Loss: 0.3114	LR: 0.000800
Training Epoch: 37 [37120/46200]	Loss: 0.2943	LR: 0.000800
Training Epoch: 37 [37376/46200]	Loss: 0.2496	LR: 0.000800
Training Epoch: 37 [37632/46200]	Loss: 0.3200	LR: 0.000800
Training Epoch: 37 [37888/46200]	Loss: 0.2175	LR: 0.000800
Training Epoch: 37 [38144/46200]	Loss: 0.3333	LR: 0.000800
Training Epoch: 37 [38400/46200]	Loss: 0.2522	LR: 0.000800
Training Epoch: 37 [38656/46200]	Loss: 0.2730	LR: 0.000800
Training Epoch: 37 [38912/46200]	Loss: 0.2642	LR: 0.000800
Training Epoch: 37 [39168/46200]	Loss: 0.3357	LR: 0.000800
Training Epoch: 37 [39424/46200]	Loss: 0.2788	LR: 0.000800
Training Epoch: 37 [39680/46200]	Loss: 0.2576	LR: 0.000800
Training Epoch: 37 [39936/46200]	Loss: 0.3446	LR: 0.000800
Training Epoch: 37 [40192/46200]	Loss: 0.2944	LR: 0.000800
Training Epoch: 37 [40448/46200]	Loss: 0.2934	LR: 0.000800
Training Epoch: 37 [40704/46200]	Loss: 0.3105	LR: 0.000800
Training Epoch: 37 [40960/46200]	Loss: 0.3058	LR: 0.000800
Training Epoch: 37 [41216/46200]	Loss: 0.2650	LR: 0.000800
Training Epoch: 37 [41472/46200]	Loss: 0.2881	LR: 0.000800
Training Epoch: 37 [41728/46200]	Loss: 0.2974	LR: 0.000800
Training Epoch: 37 [41984/46200]	Loss: 0.3395	LR: 0.000800
Training Epoch: 37 [42240/46200]	Loss: 0.2680	LR: 0.000800
Training Epoch: 37 [42496/46200]	Loss: 0.3438	LR: 0.000800
Training Epoch: 37 [42752/46200]	Loss: 0.2761	LR: 0.000800
Training Epoch: 37 [43008/46200]	Loss: 0.2649	LR: 0.000800
Training Epoch: 37 [43264/46200]	Loss: 0.2895	LR: 0.000800
Training Epoch: 37 [43520/46200]	Loss: 0.2969	LR: 0.000800
Training Epoch: 37 [43776/46200]	Loss: 0.3382	LR: 0.000800
Training Epoch: 37 [44032/46200]	Loss: 0.3131	LR: 0.000800
Training Epoch: 37 [44288/46200]	Loss: 0.2580	LR: 0.000800
Training Epoch: 37 [44544/46200]	Loss: 0.3564	LR: 0.000800
Training Epoch: 37 [44800/46200]	Loss: 0.2620	LR: 0.000800
Training Epoch: 37 [45056/46200]	Loss: 0.3142	LR: 0.000800
Training Epoch: 37 [45312/46200]	Loss: 0.2811	LR: 0.000800
Training Epoch: 37 [45568/46200]	Loss: 0.2473	LR: 0.000800
Training Epoch: 37 [45824/46200]	Loss: 0.2630	LR: 0.000800
Training Epoch: 37 [46080/46200]	Loss: 0.2091	LR: 0.000800
Training Epoch: 37 [46200/46200]	Loss: 0.1999	LR: 0.000800
Epoch 37 - Average Train Loss: 0.2946, Train Accuracy: 0.9111
Epoch 37 training time consumed: 25.15s
Evaluating Network.....
Test set: Epoch: 37, Average loss: 0.0030, Accuracy: 0.7786, Time consumed:0.85s
Training Epoch: 38 [256/46200]	Loss: 0.3172	LR: 0.000800
Training Epoch: 38 [512/46200]	Loss: 0.2444	LR: 0.000800
Training Epoch: 38 [768/46200]	Loss: 0.2776	LR: 0.000800
Training Epoch: 38 [1024/46200]	Loss: 0.2641	LR: 0.000800
Training Epoch: 38 [1280/46200]	Loss: 0.2593	LR: 0.000800
Training Epoch: 38 [1536/46200]	Loss: 0.2458	LR: 0.000800
Training Epoch: 38 [1792/46200]	Loss: 0.3047	LR: 0.000800
Training Epoch: 38 [2048/46200]	Loss: 0.3134	LR: 0.000800
Training Epoch: 38 [2304/46200]	Loss: 0.2813	LR: 0.000800
Training Epoch: 38 [2560/46200]	Loss: 0.2984	LR: 0.000800
Training Epoch: 38 [2816/46200]	Loss: 0.3237	LR: 0.000800
Training Epoch: 38 [3072/46200]	Loss: 0.2806	LR: 0.000800
Training Epoch: 38 [3328/46200]	Loss: 0.3282	LR: 0.000800
Training Epoch: 38 [3584/46200]	Loss: 0.2961	LR: 0.000800
Training Epoch: 38 [3840/46200]	Loss: 0.3028	LR: 0.000800
Training Epoch: 38 [4096/46200]	Loss: 0.3055	LR: 0.000800
Training Epoch: 38 [4352/46200]	Loss: 0.2501	LR: 0.000800
Training Epoch: 38 [4608/46200]	Loss: 0.2721	LR: 0.000800
Training Epoch: 38 [4864/46200]	Loss: 0.2824	LR: 0.000800
Training Epoch: 38 [5120/46200]	Loss: 0.2995	LR: 0.000800
Training Epoch: 38 [5376/46200]	Loss: 0.3086	LR: 0.000800
Training Epoch: 38 [5632/46200]	Loss: 0.3150	LR: 0.000800
Training Epoch: 38 [5888/46200]	Loss: 0.2861	LR: 0.000800
Training Epoch: 38 [6144/46200]	Loss: 0.2338	LR: 0.000800
Training Epoch: 38 [6400/46200]	Loss: 0.3181	LR: 0.000800
Training Epoch: 38 [6656/46200]	Loss: 0.2796	LR: 0.000800
Training Epoch: 38 [6912/46200]	Loss: 0.3059	LR: 0.000800
Training Epoch: 38 [7168/46200]	Loss: 0.3086	LR: 0.000800
Training Epoch: 38 [7424/46200]	Loss: 0.3767	LR: 0.000800
Training Epoch: 38 [7680/46200]	Loss: 0.2493	LR: 0.000800
Training Epoch: 38 [7936/46200]	Loss: 0.3009	LR: 0.000800
Training Epoch: 38 [8192/46200]	Loss: 0.2372	LR: 0.000800
Training Epoch: 38 [8448/46200]	Loss: 0.2813	LR: 0.000800
Training Epoch: 38 [8704/46200]	Loss: 0.2882	LR: 0.000800
Training Epoch: 38 [8960/46200]	Loss: 0.2379	LR: 0.000800
Training Epoch: 38 [9216/46200]	Loss: 0.3084	LR: 0.000800
Training Epoch: 38 [9472/46200]	Loss: 0.2338	LR: 0.000800
Training Epoch: 38 [9728/46200]	Loss: 0.3768	LR: 0.000800
Training Epoch: 38 [9984/46200]	Loss: 0.3039	LR: 0.000800
Training Epoch: 38 [10240/46200]	Loss: 0.2699	LR: 0.000800
Training Epoch: 38 [10496/46200]	Loss: 0.2865	LR: 0.000800
Training Epoch: 38 [10752/46200]	Loss: 0.2983	LR: 0.000800
Training Epoch: 38 [11008/46200]	Loss: 0.2277	LR: 0.000800
Training Epoch: 38 [11264/46200]	Loss: 0.2767	LR: 0.000800
Training Epoch: 38 [11520/46200]	Loss: 0.2967	LR: 0.000800
Training Epoch: 38 [11776/46200]	Loss: 0.3021	LR: 0.000800
Training Epoch: 38 [12032/46200]	Loss: 0.3572	LR: 0.000800
Training Epoch: 38 [12288/46200]	Loss: 0.2930	LR: 0.000800
Training Epoch: 38 [12544/46200]	Loss: 0.2827	LR: 0.000800
Training Epoch: 38 [12800/46200]	Loss: 0.2557	LR: 0.000800
Training Epoch: 38 [13056/46200]	Loss: 0.2645	LR: 0.000800
Training Epoch: 38 [13312/46200]	Loss: 0.2260	LR: 0.000800
Training Epoch: 38 [13568/46200]	Loss: 0.3293	LR: 0.000800
Training Epoch: 38 [13824/46200]	Loss: 0.2519	LR: 0.000800
Training Epoch: 38 [14080/46200]	Loss: 0.2750	LR: 0.000800
Training Epoch: 38 [14336/46200]	Loss: 0.3129	LR: 0.000800
Training Epoch: 38 [14592/46200]	Loss: 0.2321	LR: 0.000800
Training Epoch: 38 [14848/46200]	Loss: 0.2492	LR: 0.000800
Training Epoch: 38 [15104/46200]	Loss: 0.2891	LR: 0.000800
Training Epoch: 38 [15360/46200]	Loss: 0.2561	LR: 0.000800
Training Epoch: 38 [15616/46200]	Loss: 0.2879	LR: 0.000800
Training Epoch: 38 [15872/46200]	Loss: 0.2493	LR: 0.000800
Training Epoch: 38 [16128/46200]	Loss: 0.2582	LR: 0.000800
Training Epoch: 38 [16384/46200]	Loss: 0.2230	LR: 0.000800
Training Epoch: 38 [16640/46200]	Loss: 0.3395	LR: 0.000800
Training Epoch: 38 [16896/46200]	Loss: 0.2902	LR: 0.000800
Training Epoch: 38 [17152/46200]	Loss: 0.3315	LR: 0.000800
Training Epoch: 38 [17408/46200]	Loss: 0.2505	LR: 0.000800
Training Epoch: 38 [17664/46200]	Loss: 0.3008	LR: 0.000800
Training Epoch: 38 [17920/46200]	Loss: 0.2405	LR: 0.000800
Training Epoch: 38 [18176/46200]	Loss: 0.2776	LR: 0.000800
Training Epoch: 38 [18432/46200]	Loss: 0.2645	LR: 0.000800
Training Epoch: 38 [18688/46200]	Loss: 0.2684	LR: 0.000800
Training Epoch: 38 [18944/46200]	Loss: 0.2547	LR: 0.000800
Training Epoch: 38 [19200/46200]	Loss: 0.2581	LR: 0.000800
Training Epoch: 38 [19456/46200]	Loss: 0.3033	LR: 0.000800
Training Epoch: 38 [19712/46200]	Loss: 0.2407	LR: 0.000800
Training Epoch: 38 [19968/46200]	Loss: 0.3688	LR: 0.000800
Training Epoch: 38 [20224/46200]	Loss: 0.2872	LR: 0.000800
Training Epoch: 38 [20480/46200]	Loss: 0.3470	LR: 0.000800
Training Epoch: 38 [20736/46200]	Loss: 0.2359	LR: 0.000800
Training Epoch: 38 [20992/46200]	Loss: 0.2771	LR: 0.000800
Training Epoch: 38 [21248/46200]	Loss: 0.2687	LR: 0.000800
Training Epoch: 38 [21504/46200]	Loss: 0.2542	LR: 0.000800
Training Epoch: 38 [21760/46200]	Loss: 0.2994	LR: 0.000800
Training Epoch: 38 [22016/46200]	Loss: 0.3188	LR: 0.000800
Training Epoch: 38 [22272/46200]	Loss: 0.3551	LR: 0.000800
Training Epoch: 38 [22528/46200]	Loss: 0.3826	LR: 0.000800
Training Epoch: 38 [22784/46200]	Loss: 0.2923	LR: 0.000800
Training Epoch: 38 [23040/46200]	Loss: 0.2656	LR: 0.000800
Training Epoch: 38 [23296/46200]	Loss: 0.2702	LR: 0.000800
Training Epoch: 38 [23552/46200]	Loss: 0.2789	LR: 0.000800
Training Epoch: 38 [23808/46200]	Loss: 0.2789	LR: 0.000800
Training Epoch: 38 [24064/46200]	Loss: 0.3403	LR: 0.000800
Training Epoch: 38 [24320/46200]	Loss: 0.2480	LR: 0.000800
Training Epoch: 38 [24576/46200]	Loss: 0.3431	LR: 0.000800
Training Epoch: 38 [24832/46200]	Loss: 0.2750	LR: 0.000800
Training Epoch: 38 [25088/46200]	Loss: 0.2673	LR: 0.000800
Training Epoch: 38 [25344/46200]	Loss: 0.2296	LR: 0.000800
Training Epoch: 38 [25600/46200]	Loss: 0.2552	LR: 0.000800
Training Epoch: 38 [25856/46200]	Loss: 0.3240	LR: 0.000800
Training Epoch: 38 [26112/46200]	Loss: 0.3774	LR: 0.000800
Training Epoch: 38 [26368/46200]	Loss: 0.3014	LR: 0.000800
Training Epoch: 38 [26624/46200]	Loss: 0.3102	LR: 0.000800
Training Epoch: 38 [26880/46200]	Loss: 0.2595	LR: 0.000800
Training Epoch: 38 [27136/46200]	Loss: 0.2571	LR: 0.000800
Training Epoch: 38 [27392/46200]	Loss: 0.3165	LR: 0.000800
Training Epoch: 38 [27648/46200]	Loss: 0.2596	LR: 0.000800
Training Epoch: 38 [27904/46200]	Loss: 0.3070	LR: 0.000800
Training Epoch: 38 [28160/46200]	Loss: 0.2960	LR: 0.000800
Training Epoch: 38 [28416/46200]	Loss: 0.3376	LR: 0.000800
Training Epoch: 38 [28672/46200]	Loss: 0.2897	LR: 0.000800
Training Epoch: 38 [28928/46200]	Loss: 0.2989	LR: 0.000800
Training Epoch: 38 [29184/46200]	Loss: 0.2519	LR: 0.000800
Training Epoch: 38 [29440/46200]	Loss: 0.2360	LR: 0.000800
Training Epoch: 38 [29696/46200]	Loss: 0.3054	LR: 0.000800
Training Epoch: 38 [29952/46200]	Loss: 0.3745	LR: 0.000800
Training Epoch: 38 [30208/46200]	Loss: 0.2668	LR: 0.000800
Training Epoch: 38 [30464/46200]	Loss: 0.3507	LR: 0.000800
Training Epoch: 38 [30720/46200]	Loss: 0.3444	LR: 0.000800
Training Epoch: 38 [30976/46200]	Loss: 0.3503	LR: 0.000800
Training Epoch: 38 [31232/46200]	Loss: 0.3431	LR: 0.000800
Training Epoch: 38 [31488/46200]	Loss: 0.3493	LR: 0.000800
Training Epoch: 38 [31744/46200]	Loss: 0.3297	LR: 0.000800
Training Epoch: 38 [32000/46200]	Loss: 0.2962	LR: 0.000800
Training Epoch: 38 [32256/46200]	Loss: 0.2928	LR: 0.000800
Training Epoch: 38 [32512/46200]	Loss: 0.2992	LR: 0.000800
Training Epoch: 38 [32768/46200]	Loss: 0.2571	LR: 0.000800
Training Epoch: 38 [33024/46200]	Loss: 0.2693	LR: 0.000800
Training Epoch: 38 [33280/46200]	Loss: 0.3805	LR: 0.000800
Training Epoch: 38 [33536/46200]	Loss: 0.3567	LR: 0.000800
Training Epoch: 38 [33792/46200]	Loss: 0.2272	LR: 0.000800
Training Epoch: 38 [34048/46200]	Loss: 0.3056	LR: 0.000800
Training Epoch: 38 [34304/46200]	Loss: 0.3074	LR: 0.000800
Training Epoch: 38 [34560/46200]	Loss: 0.2661	LR: 0.000800
Training Epoch: 38 [34816/46200]	Loss: 0.2950	LR: 0.000800
Training Epoch: 38 [35072/46200]	Loss: 0.2632	LR: 0.000800
Training Epoch: 38 [35328/46200]	Loss: 0.2595	LR: 0.000800
Training Epoch: 38 [35584/46200]	Loss: 0.2851	LR: 0.000800
Training Epoch: 38 [35840/46200]	Loss: 0.2697	LR: 0.000800
Training Epoch: 38 [36096/46200]	Loss: 0.3489	LR: 0.000800
Training Epoch: 38 [36352/46200]	Loss: 0.2848	LR: 0.000800
Training Epoch: 38 [36608/46200]	Loss: 0.3132	LR: 0.000800
Training Epoch: 38 [36864/46200]	Loss: 0.2837	LR: 0.000800
Training Epoch: 38 [37120/46200]	Loss: 0.3442	LR: 0.000800
Training Epoch: 38 [37376/46200]	Loss: 0.2733	LR: 0.000800
Training Epoch: 38 [37632/46200]	Loss: 0.3422	LR: 0.000800
Training Epoch: 38 [37888/46200]	Loss: 0.3460	LR: 0.000800
Training Epoch: 38 [38144/46200]	Loss: 0.3158	LR: 0.000800
Training Epoch: 38 [38400/46200]	Loss: 0.3392	LR: 0.000800
Training Epoch: 38 [38656/46200]	Loss: 0.2524	LR: 0.000800
Training Epoch: 38 [38912/46200]	Loss: 0.2986	LR: 0.000800
Training Epoch: 38 [39168/46200]	Loss: 0.2967	LR: 0.000800
Training Epoch: 38 [39424/46200]	Loss: 0.2571	LR: 0.000800
Training Epoch: 38 [39680/46200]	Loss: 0.3067	LR: 0.000800
Training Epoch: 38 [39936/46200]	Loss: 0.2340	LR: 0.000800
Training Epoch: 38 [40192/46200]	Loss: 0.3101	LR: 0.000800
Training Epoch: 38 [40448/46200]	Loss: 0.3573	LR: 0.000800
Training Epoch: 38 [40704/46200]	Loss: 0.2651	LR: 0.000800
Training Epoch: 38 [40960/46200]	Loss: 0.3136	LR: 0.000800
Training Epoch: 38 [41216/46200]	Loss: 0.2705	LR: 0.000800
Training Epoch: 38 [41472/46200]	Loss: 0.2419	LR: 0.000800
Training Epoch: 38 [41728/46200]	Loss: 0.2907	LR: 0.000800
Training Epoch: 38 [41984/46200]	Loss: 0.2606	LR: 0.000800
Training Epoch: 38 [42240/46200]	Loss: 0.2663	LR: 0.000800
Training Epoch: 38 [42496/46200]	Loss: 0.2900	LR: 0.000800
Training Epoch: 38 [42752/46200]	Loss: 0.3402	LR: 0.000800
Training Epoch: 38 [43008/46200]	Loss: 0.2675	LR: 0.000800
Training Epoch: 38 [43264/46200]	Loss: 0.2341	LR: 0.000800
Training Epoch: 38 [43520/46200]	Loss: 0.2987	LR: 0.000800
Training Epoch: 38 [43776/46200]	Loss: 0.3499	LR: 0.000800
Training Epoch: 38 [44032/46200]	Loss: 0.2812	LR: 0.000800
Training Epoch: 38 [44288/46200]	Loss: 0.2656	LR: 0.000800
Training Epoch: 38 [44544/46200]	Loss: 0.2969	LR: 0.000800
Training Epoch: 38 [44800/46200]	Loss: 0.2319	LR: 0.000800
Training Epoch: 38 [45056/46200]	Loss: 0.3176	LR: 0.000800
Training Epoch: 38 [45312/46200]	Loss: 0.2508	LR: 0.000800
Training Epoch: 38 [45568/46200]	Loss: 0.2700	LR: 0.000800
Training Epoch: 38 [45824/46200]	Loss: 0.2928	LR: 0.000800
Training Epoch: 38 [46080/46200]	Loss: 0.3817	LR: 0.000800
Training Epoch: 38 [46200/46200]	Loss: 0.4048	LR: 0.000800
Epoch 38 - Average Train Loss: 0.2912, Train Accuracy: 0.9130
Epoch 38 training time consumed: 25.42s
Evaluating Network.....
Test set: Epoch: 38, Average loss: 0.0030, Accuracy: 0.7800, Time consumed:0.93s
Training Epoch: 39 [256/46200]	Loss: 0.2856	LR: 0.000800
Training Epoch: 39 [512/46200]	Loss: 0.3388	LR: 0.000800
Training Epoch: 39 [768/46200]	Loss: 0.2528	LR: 0.000800
Training Epoch: 39 [1024/46200]	Loss: 0.2866	LR: 0.000800
Training Epoch: 39 [1280/46200]	Loss: 0.3177	LR: 0.000800
Training Epoch: 39 [1536/46200]	Loss: 0.2751	LR: 0.000800
Training Epoch: 39 [1792/46200]	Loss: 0.3141	LR: 0.000800
Training Epoch: 39 [2048/46200]	Loss: 0.3090	LR: 0.000800
Training Epoch: 39 [2304/46200]	Loss: 0.3344	LR: 0.000800
Training Epoch: 39 [2560/46200]	Loss: 0.3278	LR: 0.000800
Training Epoch: 39 [2816/46200]	Loss: 0.2766	LR: 0.000800
Training Epoch: 39 [3072/46200]	Loss: 0.2545	LR: 0.000800
Training Epoch: 39 [3328/46200]	Loss: 0.2474	LR: 0.000800
Training Epoch: 39 [3584/46200]	Loss: 0.2382	LR: 0.000800
Training Epoch: 39 [3840/46200]	Loss: 0.3286	LR: 0.000800
Training Epoch: 39 [4096/46200]	Loss: 0.3155	LR: 0.000800
Training Epoch: 39 [4352/46200]	Loss: 0.2940	LR: 0.000800
Training Epoch: 39 [4608/46200]	Loss: 0.2618	LR: 0.000800
Training Epoch: 39 [4864/46200]	Loss: 0.3120	LR: 0.000800
Training Epoch: 39 [5120/46200]	Loss: 0.2823	LR: 0.000800
Training Epoch: 39 [5376/46200]	Loss: 0.2699	LR: 0.000800
Training Epoch: 39 [5632/46200]	Loss: 0.2633	LR: 0.000800
Training Epoch: 39 [5888/46200]	Loss: 0.2260	LR: 0.000800
Training Epoch: 39 [6144/46200]	Loss: 0.3545	LR: 0.000800
Training Epoch: 39 [6400/46200]	Loss: 0.2672	LR: 0.000800
Training Epoch: 39 [6656/46200]	Loss: 0.3028	LR: 0.000800
Training Epoch: 39 [6912/46200]	Loss: 0.2724	LR: 0.000800
Training Epoch: 39 [7168/46200]	Loss: 0.3264	LR: 0.000800
Training Epoch: 39 [7424/46200]	Loss: 0.2886	LR: 0.000800
Training Epoch: 39 [7680/46200]	Loss: 0.2368	LR: 0.000800
Training Epoch: 39 [7936/46200]	Loss: 0.3021	LR: 0.000800
Training Epoch: 39 [8192/46200]	Loss: 0.3044	LR: 0.000800
Training Epoch: 39 [8448/46200]	Loss: 0.3072	LR: 0.000800
Training Epoch: 39 [8704/46200]	Loss: 0.2898	LR: 0.000800
Training Epoch: 39 [8960/46200]	Loss: 0.2438	LR: 0.000800
Training Epoch: 39 [9216/46200]	Loss: 0.3003	LR: 0.000800
Training Epoch: 39 [9472/46200]	Loss: 0.2671	LR: 0.000800
Training Epoch: 39 [9728/46200]	Loss: 0.2223	LR: 0.000800
Training Epoch: 39 [9984/46200]	Loss: 0.2710	LR: 0.000800
Training Epoch: 39 [10240/46200]	Loss: 0.2865	LR: 0.000800
Training Epoch: 39 [10496/46200]	Loss: 0.3073	LR: 0.000800
Training Epoch: 39 [10752/46200]	Loss: 0.3034	LR: 0.000800
Training Epoch: 39 [11008/46200]	Loss: 0.2475	LR: 0.000800
Training Epoch: 39 [11264/46200]	Loss: 0.2738	LR: 0.000800
Training Epoch: 39 [11520/46200]	Loss: 0.2388	LR: 0.000800
Training Epoch: 39 [11776/46200]	Loss: 0.3765	LR: 0.000800
Training Epoch: 39 [12032/46200]	Loss: 0.3356	LR: 0.000800
Training Epoch: 39 [12288/46200]	Loss: 0.3089	LR: 0.000800
Training Epoch: 39 [12544/46200]	Loss: 0.2690	LR: 0.000800
Training Epoch: 39 [12800/46200]	Loss: 0.2311	LR: 0.000800
Training Epoch: 39 [13056/46200]	Loss: 0.2761	LR: 0.000800
Training Epoch: 39 [13312/46200]	Loss: 0.2756	LR: 0.000800
Training Epoch: 39 [13568/46200]	Loss: 0.3384	LR: 0.000800
Training Epoch: 39 [13824/46200]	Loss: 0.3303	LR: 0.000800
Training Epoch: 39 [14080/46200]	Loss: 0.3510	LR: 0.000800
Training Epoch: 39 [14336/46200]	Loss: 0.3005	LR: 0.000800
Training Epoch: 39 [14592/46200]	Loss: 0.3619	LR: 0.000800
Training Epoch: 39 [14848/46200]	Loss: 0.2217	LR: 0.000800
Training Epoch: 39 [15104/46200]	Loss: 0.3393	LR: 0.000800
Training Epoch: 39 [15360/46200]	Loss: 0.3204	LR: 0.000800
Training Epoch: 39 [15616/46200]	Loss: 0.3624	LR: 0.000800
Training Epoch: 39 [15872/46200]	Loss: 0.2711	LR: 0.000800
Training Epoch: 39 [16128/46200]	Loss: 0.3031	LR: 0.000800
Training Epoch: 39 [16384/46200]	Loss: 0.2958	LR: 0.000800
Training Epoch: 39 [16640/46200]	Loss: 0.2633	LR: 0.000800
Training Epoch: 39 [16896/46200]	Loss: 0.2742	LR: 0.000800
Training Epoch: 39 [17152/46200]	Loss: 0.3138	LR: 0.000800
Training Epoch: 39 [17408/46200]	Loss: 0.2798	LR: 0.000800
Training Epoch: 39 [17664/46200]	Loss: 0.3196	LR: 0.000800
Training Epoch: 39 [17920/46200]	Loss: 0.2482	LR: 0.000800
Training Epoch: 39 [18176/46200]	Loss: 0.3060	LR: 0.000800
Training Epoch: 39 [18432/46200]	Loss: 0.2094	LR: 0.000800
Training Epoch: 39 [18688/46200]	Loss: 0.2435	LR: 0.000800
Training Epoch: 39 [18944/46200]	Loss: 0.2432	LR: 0.000800
Training Epoch: 39 [19200/46200]	Loss: 0.2729	LR: 0.000800
Training Epoch: 39 [19456/46200]	Loss: 0.2499	LR: 0.000800
Training Epoch: 39 [19712/46200]	Loss: 0.2857	LR: 0.000800
Training Epoch: 39 [19968/46200]	Loss: 0.2397	LR: 0.000800
Training Epoch: 39 [20224/46200]	Loss: 0.2963	LR: 0.000800
Training Epoch: 39 [20480/46200]	Loss: 0.2851	LR: 0.000800
Training Epoch: 39 [20736/46200]	Loss: 0.2899	LR: 0.000800
Training Epoch: 39 [20992/46200]	Loss: 0.3100	LR: 0.000800
Training Epoch: 39 [21248/46200]	Loss: 0.2952	LR: 0.000800
Training Epoch: 39 [21504/46200]	Loss: 0.3522	LR: 0.000800
Training Epoch: 39 [21760/46200]	Loss: 0.2990	LR: 0.000800
Training Epoch: 39 [22016/46200]	Loss: 0.2388	LR: 0.000800
Training Epoch: 39 [22272/46200]	Loss: 0.2866	LR: 0.000800
Training Epoch: 39 [22528/46200]	Loss: 0.2553	LR: 0.000800
Training Epoch: 39 [22784/46200]	Loss: 0.2592	LR: 0.000800
Training Epoch: 39 [23040/46200]	Loss: 0.2929	LR: 0.000800
Training Epoch: 39 [23296/46200]	Loss: 0.3042	LR: 0.000800
Training Epoch: 39 [23552/46200]	Loss: 0.3005	LR: 0.000800
Training Epoch: 39 [23808/46200]	Loss: 0.3161	LR: 0.000800
Training Epoch: 39 [24064/46200]	Loss: 0.2443	LR: 0.000800
Training Epoch: 39 [24320/46200]	Loss: 0.2757	LR: 0.000800
Training Epoch: 39 [24576/46200]	Loss: 0.3063	LR: 0.000800
Training Epoch: 39 [24832/46200]	Loss: 0.3478	LR: 0.000800
Training Epoch: 39 [25088/46200]	Loss: 0.3468	LR: 0.000800
Training Epoch: 39 [25344/46200]	Loss: 0.2762	LR: 0.000800
Training Epoch: 39 [25600/46200]	Loss: 0.2520	LR: 0.000800
Training Epoch: 39 [25856/46200]	Loss: 0.2595	LR: 0.000800
Training Epoch: 39 [26112/46200]	Loss: 0.3050	LR: 0.000800
Training Epoch: 39 [26368/46200]	Loss: 0.2679	LR: 0.000800
Training Epoch: 39 [26624/46200]	Loss: 0.2899	LR: 0.000800
Training Epoch: 39 [26880/46200]	Loss: 0.2551	LR: 0.000800
Training Epoch: 39 [27136/46200]	Loss: 0.3054	LR: 0.000800
Training Epoch: 39 [27392/46200]	Loss: 0.2997	LR: 0.000800
Training Epoch: 39 [27648/46200]	Loss: 0.2806	LR: 0.000800
Training Epoch: 39 [27904/46200]	Loss: 0.2883	LR: 0.000800
Training Epoch: 39 [28160/46200]	Loss: 0.2703	LR: 0.000800
Training Epoch: 39 [28416/46200]	Loss: 0.3565	LR: 0.000800
Training Epoch: 39 [28672/46200]	Loss: 0.2721	LR: 0.000800
Training Epoch: 39 [28928/46200]	Loss: 0.2699	LR: 0.000800
Training Epoch: 39 [29184/46200]	Loss: 0.2892	LR: 0.000800
Training Epoch: 39 [29440/46200]	Loss: 0.3039	LR: 0.000800
Training Epoch: 39 [29696/46200]	Loss: 0.2546	LR: 0.000800
Training Epoch: 39 [29952/46200]	Loss: 0.2903	LR: 0.000800
Training Epoch: 39 [30208/46200]	Loss: 0.2729	LR: 0.000800
Training Epoch: 39 [30464/46200]	Loss: 0.2616	LR: 0.000800
Training Epoch: 39 [30720/46200]	Loss: 0.2662	LR: 0.000800
Training Epoch: 39 [30976/46200]	Loss: 0.3206	LR: 0.000800
Training Epoch: 39 [31232/46200]	Loss: 0.3156	LR: 0.000800
Training Epoch: 39 [31488/46200]	Loss: 0.2385	LR: 0.000800
Training Epoch: 39 [31744/46200]	Loss: 0.3105	LR: 0.000800
Training Epoch: 39 [32000/46200]	Loss: 0.3142	LR: 0.000800
Training Epoch: 39 [32256/46200]	Loss: 0.2637	LR: 0.000800
Training Epoch: 39 [32512/46200]	Loss: 0.2814	LR: 0.000800
Training Epoch: 39 [32768/46200]	Loss: 0.2425	LR: 0.000800
Training Epoch: 39 [33024/46200]	Loss: 0.2361	LR: 0.000800
Training Epoch: 39 [33280/46200]	Loss: 0.2770	LR: 0.000800
Training Epoch: 39 [33536/46200]	Loss: 0.2779	LR: 0.000800
Training Epoch: 39 [33792/46200]	Loss: 0.3501	LR: 0.000800
Training Epoch: 39 [34048/46200]	Loss: 0.3088	LR: 0.000800
Training Epoch: 39 [34304/46200]	Loss: 0.2644	LR: 0.000800
Training Epoch: 39 [34560/46200]	Loss: 0.3592	LR: 0.000800
Training Epoch: 39 [34816/46200]	Loss: 0.4158	LR: 0.000800
Training Epoch: 39 [35072/46200]	Loss: 0.2763	LR: 0.000800
Training Epoch: 39 [35328/46200]	Loss: 0.2458	LR: 0.000800
Training Epoch: 39 [35584/46200]	Loss: 0.2918	LR: 0.000800
Training Epoch: 39 [35840/46200]	Loss: 0.2603	LR: 0.000800
Training Epoch: 39 [36096/46200]	Loss: 0.3174	LR: 0.000800
Training Epoch: 39 [36352/46200]	Loss: 0.2306	LR: 0.000800
Training Epoch: 39 [36608/46200]	Loss: 0.3026	LR: 0.000800
Training Epoch: 39 [36864/46200]	Loss: 0.2704	LR: 0.000800
Training Epoch: 39 [37120/46200]	Loss: 0.2668	LR: 0.000800
Training Epoch: 39 [37376/46200]	Loss: 0.2790	LR: 0.000800
Training Epoch: 39 [37632/46200]	Loss: 0.2828	LR: 0.000800
Training Epoch: 39 [37888/46200]	Loss: 0.2779	LR: 0.000800
Training Epoch: 39 [38144/46200]	Loss: 0.2679	LR: 0.000800
Training Epoch: 39 [38400/46200]	Loss: 0.3735	LR: 0.000800
Training Epoch: 39 [38656/46200]	Loss: 0.3379	LR: 0.000800
Training Epoch: 39 [38912/46200]	Loss: 0.3212	LR: 0.000800
Training Epoch: 39 [39168/46200]	Loss: 0.3005	LR: 0.000800
Training Epoch: 39 [39424/46200]	Loss: 0.2577	LR: 0.000800
Training Epoch: 39 [39680/46200]	Loss: 0.3154	LR: 0.000800
Training Epoch: 39 [39936/46200]	Loss: 0.3458	LR: 0.000800
Training Epoch: 39 [40192/46200]	Loss: 0.3465	LR: 0.000800
Training Epoch: 39 [40448/46200]	Loss: 0.3641	LR: 0.000800
Training Epoch: 39 [40704/46200]	Loss: 0.2712	LR: 0.000800
Training Epoch: 39 [40960/46200]	Loss: 0.3901	LR: 0.000800
Training Epoch: 39 [41216/46200]	Loss: 0.2780	LR: 0.000800
Training Epoch: 39 [41472/46200]	Loss: 0.3938	LR: 0.000800
Training Epoch: 39 [41728/46200]	Loss: 0.3152	LR: 0.000800
Training Epoch: 39 [41984/46200]	Loss: 0.3522	LR: 0.000800
Training Epoch: 39 [42240/46200]	Loss: 0.3198	LR: 0.000800
Training Epoch: 39 [42496/46200]	Loss: 0.2557	LR: 0.000800
Training Epoch: 39 [42752/46200]	Loss: 0.2816	LR: 0.000800
Training Epoch: 39 [43008/46200]	Loss: 0.2892	LR: 0.000800
Training Epoch: 39 [43264/46200]	Loss: 0.2835	LR: 0.000800
Training Epoch: 39 [43520/46200]	Loss: 0.2984	LR: 0.000800
Training Epoch: 39 [43776/46200]	Loss: 0.3545	LR: 0.000800
Training Epoch: 39 [44032/46200]	Loss: 0.2450	LR: 0.000800
Training Epoch: 39 [44288/46200]	Loss: 0.2485	LR: 0.000800
Training Epoch: 39 [44544/46200]	Loss: 0.2084	LR: 0.000800
Training Epoch: 39 [44800/46200]	Loss: 0.2890	LR: 0.000800
Training Epoch: 39 [45056/46200]	Loss: 0.3080	LR: 0.000800
Training Epoch: 39 [45312/46200]	Loss: 0.3078	LR: 0.000800
Training Epoch: 39 [45568/46200]	Loss: 0.2551	LR: 0.000800
Training Epoch: 39 [45824/46200]	Loss: 0.2888	LR: 0.000800
Training Epoch: 39 [46080/46200]	Loss: 0.2373	LR: 0.000800
Training Epoch: 39 [46200/46200]	Loss: 0.3837	LR: 0.000800
Epoch 39 - Average Train Loss: 0.2909, Train Accuracy: 0.9129
Epoch 39 training time consumed: 25.05s
Evaluating Network.....
Test set: Epoch: 39, Average loss: 0.0030, Accuracy: 0.7809, Time consumed:0.85s
Training Epoch: 40 [256/46200]	Loss: 0.2810	LR: 0.000800
Training Epoch: 40 [512/46200]	Loss: 0.2375	LR: 0.000800
Training Epoch: 40 [768/46200]	Loss: 0.3287	LR: 0.000800
Training Epoch: 40 [1024/46200]	Loss: 0.2570	LR: 0.000800
Training Epoch: 40 [1280/46200]	Loss: 0.3048	LR: 0.000800
Training Epoch: 40 [1536/46200]	Loss: 0.2563	LR: 0.000800
Training Epoch: 40 [1792/46200]	Loss: 0.2642	LR: 0.000800
Training Epoch: 40 [2048/46200]	Loss: 0.3291	LR: 0.000800
Training Epoch: 40 [2304/46200]	Loss: 0.2887	LR: 0.000800
Training Epoch: 40 [2560/46200]	Loss: 0.3269	LR: 0.000800
Training Epoch: 40 [2816/46200]	Loss: 0.2278	LR: 0.000800
Training Epoch: 40 [3072/46200]	Loss: 0.3322	LR: 0.000800
Training Epoch: 40 [3328/46200]	Loss: 0.2396	LR: 0.000800
Training Epoch: 40 [3584/46200]	Loss: 0.2920	LR: 0.000800
Training Epoch: 40 [3840/46200]	Loss: 0.2709	LR: 0.000800
Training Epoch: 40 [4096/46200]	Loss: 0.2608	LR: 0.000800
Training Epoch: 40 [4352/46200]	Loss: 0.2530	LR: 0.000800
Training Epoch: 40 [4608/46200]	Loss: 0.2935	LR: 0.000800
Training Epoch: 40 [4864/46200]	Loss: 0.2918	LR: 0.000800
Training Epoch: 40 [5120/46200]	Loss: 0.2804	LR: 0.000800
Training Epoch: 40 [5376/46200]	Loss: 0.2362	LR: 0.000800
Training Epoch: 40 [5632/46200]	Loss: 0.2454	LR: 0.000800
Training Epoch: 40 [5888/46200]	Loss: 0.2413	LR: 0.000800
Training Epoch: 40 [6144/46200]	Loss: 0.2616	LR: 0.000800
Training Epoch: 40 [6400/46200]	Loss: 0.3447	LR: 0.000800
Training Epoch: 40 [6656/46200]	Loss: 0.2719	LR: 0.000800
Training Epoch: 40 [6912/46200]	Loss: 0.2471	LR: 0.000800
Training Epoch: 40 [7168/46200]	Loss: 0.3105	LR: 0.000800
Training Epoch: 40 [7424/46200]	Loss: 0.3247	LR: 0.000800
Training Epoch: 40 [7680/46200]	Loss: 0.2781	LR: 0.000800
Training Epoch: 40 [7936/46200]	Loss: 0.3178	LR: 0.000800
Training Epoch: 40 [8192/46200]	Loss: 0.3018	LR: 0.000800
Training Epoch: 40 [8448/46200]	Loss: 0.2838	LR: 0.000800
Training Epoch: 40 [8704/46200]	Loss: 0.2369	LR: 0.000800
Training Epoch: 40 [8960/46200]	Loss: 0.2439	LR: 0.000800
Training Epoch: 40 [9216/46200]	Loss: 0.2923	LR: 0.000800
Training Epoch: 40 [9472/46200]	Loss: 0.1958	LR: 0.000800
Training Epoch: 40 [9728/46200]	Loss: 0.2820	LR: 0.000800
Training Epoch: 40 [9984/46200]	Loss: 0.2981	LR: 0.000800
Training Epoch: 40 [10240/46200]	Loss: 0.3646	LR: 0.000800
Training Epoch: 40 [10496/46200]	Loss: 0.2719	LR: 0.000800
Training Epoch: 40 [10752/46200]	Loss: 0.2652	LR: 0.000800
Training Epoch: 40 [11008/46200]	Loss: 0.2759	LR: 0.000800
Training Epoch: 40 [11264/46200]	Loss: 0.2713	LR: 0.000800
Training Epoch: 40 [11520/46200]	Loss: 0.3144	LR: 0.000800
Training Epoch: 40 [11776/46200]	Loss: 0.2652	LR: 0.000800
Training Epoch: 40 [12032/46200]	Loss: 0.2958	LR: 0.000800
Training Epoch: 40 [12288/46200]	Loss: 0.2931	LR: 0.000800
Training Epoch: 40 [12544/46200]	Loss: 0.3006	LR: 0.000800
Training Epoch: 40 [12800/46200]	Loss: 0.3095	LR: 0.000800
Training Epoch: 40 [13056/46200]	Loss: 0.2631	LR: 0.000800
Training Epoch: 40 [13312/46200]	Loss: 0.2908	LR: 0.000800
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Training Epoch: 40 [20736/46200]	Loss: 0.3037	LR: 0.000800
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Training Epoch: 40 [22016/46200]	Loss: 0.3155	LR: 0.000800
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Training Epoch: 40 [22528/46200]	Loss: 0.3485	LR: 0.000800
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Training Epoch: 40 [24576/46200]	Loss: 0.3417	LR: 0.000800
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Training Epoch: 40 [26112/46200]	Loss: 0.2897	LR: 0.000800
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Training Epoch: 40 [28928/46200]	Loss: 0.3158	LR: 0.000800
Training Epoch: 40 [29184/46200]	Loss: 0.2501	LR: 0.000800
Training Epoch: 40 [29440/46200]	Loss: 0.3291	LR: 0.000800
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Training Epoch: 40 [31232/46200]	Loss: 0.2627	LR: 0.000800
Training Epoch: 40 [31488/46200]	Loss: 0.2917	LR: 0.000800
Training Epoch: 40 [31744/46200]	Loss: 0.3154	LR: 0.000800
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Training Epoch: 40 [34816/46200]	Loss: 0.2762	LR: 0.000800
Training Epoch: 40 [35072/46200]	Loss: 0.2903	LR: 0.000800
Training Epoch: 40 [35328/46200]	Loss: 0.2512	LR: 0.000800
Training Epoch: 40 [35584/46200]	Loss: 0.2717	LR: 0.000800
Training Epoch: 40 [35840/46200]	Loss: 0.2655	LR: 0.000800
Training Epoch: 40 [36096/46200]	Loss: 0.2689	LR: 0.000800
Training Epoch: 40 [36352/46200]	Loss: 0.3019	LR: 0.000800
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Training Epoch: 40 [37888/46200]	Loss: 0.2626	LR: 0.000800
Training Epoch: 40 [38144/46200]	Loss: 0.3534	LR: 0.000800
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Training Epoch: 40 [38656/46200]	Loss: 0.2580	LR: 0.000800
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Training Epoch: 40 [39168/46200]	Loss: 0.3154	LR: 0.000800
Training Epoch: 40 [39424/46200]	Loss: 0.2342	LR: 0.000800
Training Epoch: 40 [39680/46200]	Loss: 0.2245	LR: 0.000800
Training Epoch: 40 [39936/46200]	Loss: 0.3465	LR: 0.000800
Training Epoch: 40 [40192/46200]	Loss: 0.3172	LR: 0.000800
Training Epoch: 40 [40448/46200]	Loss: 0.2889	LR: 0.000800
Training Epoch: 40 [40704/46200]	Loss: 0.2983	LR: 0.000800
Training Epoch: 40 [40960/46200]	Loss: 0.3573	LR: 0.000800
Training Epoch: 40 [41216/46200]	Loss: 0.3479	LR: 0.000800
Training Epoch: 40 [41472/46200]	Loss: 0.2817	LR: 0.000800
Training Epoch: 40 [41728/46200]	Loss: 0.3119	LR: 0.000800
Training Epoch: 40 [41984/46200]	Loss: 0.2627	LR: 0.000800
Training Epoch: 40 [42240/46200]	Loss: 0.2550	LR: 0.000800
Training Epoch: 40 [42496/46200]	Loss: 0.2339	LR: 0.000800
Training Epoch: 40 [42752/46200]	Loss: 0.2628	LR: 0.000800
Training Epoch: 40 [43008/46200]	Loss: 0.3047	LR: 0.000800
Training Epoch: 40 [43264/46200]	Loss: 0.3097	LR: 0.000800
Training Epoch: 40 [43520/46200]	Loss: 0.2949	LR: 0.000800
Training Epoch: 40 [43776/46200]	Loss: 0.2323	LR: 0.000800
Training Epoch: 40 [44032/46200]	Loss: 0.3401	LR: 0.000800
Training Epoch: 40 [44288/46200]	Loss: 0.2872	LR: 0.000800
Training Epoch: 40 [44544/46200]	Loss: 0.2960	LR: 0.000800
Training Epoch: 40 [44800/46200]	Loss: 0.3011	LR: 0.000800
Training Epoch: 40 [45056/46200]	Loss: 0.2825	LR: 0.000800
Training Epoch: 40 [45312/46200]	Loss: 0.2463	LR: 0.000800
Training Epoch: 40 [45568/46200]	Loss: 0.3418	LR: 0.000800
Training Epoch: 40 [45824/46200]	Loss: 0.1975	LR: 0.000800
Training Epoch: 40 [46080/46200]	Loss: 0.2576	LR: 0.000800
Training Epoch: 40 [46200/46200]	Loss: 0.2917	LR: 0.000800
Epoch 40 - Average Train Loss: 0.2884, Train Accuracy: 0.9136
Epoch 40 training time consumed: 25.12s
Evaluating Network.....
Test set: Epoch: 40, Average loss: 0.0030, Accuracy: 0.7799, Time consumed:0.93s
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: 78.212890625
Retain Accuracy: 92.18981170654297
Zero-Retain Forget (ZRF): 0.9151509404182434
Membership Inference Attack (MIA): 0.0
Forget vs Retain Membership Inference Attack (MIA): 0.5486842105263158
Forget vs Test Membership Inference Attack (MIA): 0.5296052631578947
Test vs Retain Membership Inference Attack (MIA): 0.47475
Train vs Test Membership Inference Attack (MIA): 0.568
Forget Set Accuracy (Df): 76.29147338867188
Method Execution Time: 1538.83 seconds
